diff --git a/_freeze/2024-potus/Alabama/execute-results/html.json b/_freeze/2024-potus/Alabama/execute-results/html.json
index d82d7f9f..85c3e88b 100644
--- a/_freeze/2024-potus/Alabama/execute-results/html.json
+++ b/_freeze/2024-potus/Alabama/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Alabama.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Alabama. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Alabama.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Alabama. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Alaska/execute-results/html.json b/_freeze/2024-potus/Alaska/execute-results/html.json
index c2511a54..496374b5 100644
--- a/_freeze/2024-potus/Alaska/execute-results/html.json
+++ b/_freeze/2024-potus/Alaska/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Alaska.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Alaska. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Alaska.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Alaska. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Arizona/execute-results/html.json b/_freeze/2024-potus/Arizona/execute-results/html.json
index 42171c9e..d56b1d09 100644
--- a/_freeze/2024-potus/Arizona/execute-results/html.json
+++ b/_freeze/2024-potus/Arizona/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is likely to beat Kamala Harris** in Arizona.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that it's **unclear whether Kamala Harris or Donald Trump will win** in Arizona.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Arkansas/execute-results/html.json b/_freeze/2024-potus/Arkansas/execute-results/html.json
index 85b22ee5..275c7899 100644
--- a/_freeze/2024-potus/Arkansas/execute-results/html.json
+++ b/_freeze/2024-potus/Arkansas/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is all but guaranteed to beat Kamala Harris** in Arkansas.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Arkansas. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Arkansas.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Arkansas. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/California/execute-results/html.json b/_freeze/2024-potus/California/execute-results/html.json
index 5d093bbd..dd5cecc4 100644
--- a/_freeze/2024-potus/California/execute-results/html.json
+++ b/_freeze/2024-potus/California/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is all but guaranteed to beat Donald Trump** in California.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is all but guaranteed to beat Donald Trump** in California.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Colorado/execute-results/html.json b/_freeze/2024-potus/Colorado/execute-results/html.json
index d376c2c1..8e792fd8 100644
--- a/_freeze/2024-potus/Colorado/execute-results/html.json
+++ b/_freeze/2024-potus/Colorado/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is likely to beat Donald Trump** in Colorado.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Colorado. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is likely to beat Donald Trump** in Colorado.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Colorado. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Connecticut/execute-results/html.json b/_freeze/2024-potus/Connecticut/execute-results/html.json
index 2167167b..19a06f39 100644
--- a/_freeze/2024-potus/Connecticut/execute-results/html.json
+++ b/_freeze/2024-potus/Connecticut/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is very likely to beat Donald Trump** in Connecticut.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Connecticut. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is very likely to beat Donald Trump** in Connecticut.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Connecticut. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Delaware/execute-results/html.json b/_freeze/2024-potus/Delaware/execute-results/html.json
index bc857c44..9d1213db 100644
--- a/_freeze/2024-potus/Delaware/execute-results/html.json
+++ b/_freeze/2024-potus/Delaware/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is very likely to beat Donald Trump** in Delaware.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Delaware. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is very likely to beat Donald Trump** in Delaware.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Delaware. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/District of Columbia/execute-results/html.json b/_freeze/2024-potus/District of Columbia/execute-results/html.json
index 413359a7..41c075db 100644
--- a/_freeze/2024-potus/District of Columbia/execute-results/html.json
+++ b/_freeze/2024-potus/District of Columbia/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is all but guaranteed to beat Donald Trump** in the District of Columbia.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in the District of Columbia. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is all but guaranteed to beat Donald Trump** in the District of Columbia.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in the District of Columbia. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Florida/execute-results/html.json b/_freeze/2024-potus/Florida/execute-results/html.json
index 89032272..7d87243f 100644
--- a/_freeze/2024-potus/Florida/execute-results/html.json
+++ b/_freeze/2024-potus/Florida/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Florida.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is likely to beat Kamala Harris** in Florida.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Georgia/execute-results/html.json b/_freeze/2024-potus/Georgia/execute-results/html.json
index 25661d86..3bb3afb5 100644
--- a/_freeze/2024-potus/Georgia/execute-results/html.json
+++ b/_freeze/2024-potus/Georgia/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is likely to beat Kamala Harris** in Georgia.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is likely to beat Kamala Harris** in Georgia.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Hawaii/execute-results/html.json b/_freeze/2024-potus/Hawaii/execute-results/html.json
index 0f1684ff..1542affc 100644
--- a/_freeze/2024-potus/Hawaii/execute-results/html.json
+++ b/_freeze/2024-potus/Hawaii/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is all but guaranteed to beat Donald Trump** in Hawaii.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Hawaii. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is all but guaranteed to beat Donald Trump** in Hawaii.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Hawaii. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Idaho/execute-results/html.json b/_freeze/2024-potus/Idaho/execute-results/html.json
index 9fdff1fc..21f4ab36 100644
--- a/_freeze/2024-potus/Idaho/execute-results/html.json
+++ b/_freeze/2024-potus/Idaho/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is all but guaranteed to beat Kamala Harris** in Idaho.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Idaho. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is all but guaranteed to beat Kamala Harris** in Idaho.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Idaho. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Illinois/execute-results/html.json b/_freeze/2024-potus/Illinois/execute-results/html.json
index 60637eeb..e081fdaa 100644
--- a/_freeze/2024-potus/Illinois/execute-results/html.json
+++ b/_freeze/2024-potus/Illinois/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is very likely to beat Donald Trump** in Illinois.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Illinois. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is very likely to beat Donald Trump** in Illinois.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Illinois. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Indiana/execute-results/html.json b/_freeze/2024-potus/Indiana/execute-results/html.json
index 6fd4c1db..f5d90fa5 100644
--- a/_freeze/2024-potus/Indiana/execute-results/html.json
+++ b/_freeze/2024-potus/Indiana/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Indiana.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Indiana. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Indiana.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Indiana. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Iowa/execute-results/html.json b/_freeze/2024-potus/Iowa/execute-results/html.json
index e21a4085..6b393d32 100644
--- a/_freeze/2024-potus/Iowa/execute-results/html.json
+++ b/_freeze/2024-potus/Iowa/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Iowa.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Iowa. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Iowa.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Iowa. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Kansas/execute-results/html.json b/_freeze/2024-potus/Kansas/execute-results/html.json
index 23566372..80e11c7a 100644
--- a/_freeze/2024-potus/Kansas/execute-results/html.json
+++ b/_freeze/2024-potus/Kansas/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Kansas.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Kansas. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Kansas.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Kansas. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Kentucky/execute-results/html.json b/_freeze/2024-potus/Kentucky/execute-results/html.json
index 53911e95..a73f998a 100644
--- a/_freeze/2024-potus/Kentucky/execute-results/html.json
+++ b/_freeze/2024-potus/Kentucky/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is all but guaranteed to beat Kamala Harris** in Kentucky.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Kentucky. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Kentucky.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Kentucky. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Louisiana/execute-results/html.json b/_freeze/2024-potus/Louisiana/execute-results/html.json
index 52327b6b..aab026fc 100644
--- a/_freeze/2024-potus/Louisiana/execute-results/html.json
+++ b/_freeze/2024-potus/Louisiana/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Louisiana.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Louisiana. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Louisiana.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Louisiana. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Maine CD-1/execute-results/html.json b/_freeze/2024-potus/Maine CD-1/execute-results/html.json
index dbdd2a68..68d49704 100644
--- a/_freeze/2024-potus/Maine CD-1/execute-results/html.json
+++ b/_freeze/2024-potus/Maine CD-1/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is very likely to beat Donald Trump** in Maine CD-1.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is all but guaranteed to beat Donald Trump** in Maine CD-1.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Maine CD-2/execute-results/html.json b/_freeze/2024-potus/Maine CD-2/execute-results/html.json
index 392888f4..44a9532a 100644
--- a/_freeze/2024-potus/Maine CD-2/execute-results/html.json
+++ b/_freeze/2024-potus/Maine CD-2/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is likely to beat Kamala Harris** in Maine CD-2.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is likely to beat Kamala Harris** in Maine CD-2.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Maine/execute-results/html.json b/_freeze/2024-potus/Maine/execute-results/html.json
index 2bdd3acc..8b235143 100644
--- a/_freeze/2024-potus/Maine/execute-results/html.json
+++ b/_freeze/2024-potus/Maine/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is likely to beat Donald Trump** in Maine.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is likely to beat Donald Trump** in Maine.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Maryland/execute-results/html.json b/_freeze/2024-potus/Maryland/execute-results/html.json
index 742359d7..e88dab6d 100644
--- a/_freeze/2024-potus/Maryland/execute-results/html.json
+++ b/_freeze/2024-potus/Maryland/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is all but guaranteed to beat Donald Trump** in Maryland.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Maryland. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is all but guaranteed to beat Donald Trump** in Maryland.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Maryland. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Massachusetts/execute-results/html.json b/_freeze/2024-potus/Massachusetts/execute-results/html.json
index 059de9cb..10f2e06d 100644
--- a/_freeze/2024-potus/Massachusetts/execute-results/html.json
+++ b/_freeze/2024-potus/Massachusetts/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is all but guaranteed to beat Donald Trump** in Massachusetts.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Massachusetts. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is all but guaranteed to beat Donald Trump** in Massachusetts.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Massachusetts. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Michigan/execute-results/html.json b/_freeze/2024-potus/Michigan/execute-results/html.json
index ead95454..0b175012 100644
--- a/_freeze/2024-potus/Michigan/execute-results/html.json
+++ b/_freeze/2024-potus/Michigan/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that it's **unclear whether Kamala Harris or Donald Trump will win** in Michigan.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that it's **unclear whether Kamala Harris or Donald Trump will win** in Michigan.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Minnesota/execute-results/html.json b/_freeze/2024-potus/Minnesota/execute-results/html.json
index 4c3d402b..50395c3c 100644
--- a/_freeze/2024-potus/Minnesota/execute-results/html.json
+++ b/_freeze/2024-potus/Minnesota/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is likely to beat Donald Trump** in Minnesota.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is likely to beat Donald Trump** in Minnesota.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Mississippi/execute-results/html.json b/_freeze/2024-potus/Mississippi/execute-results/html.json
index 3a30a051..ad89142a 100644
--- a/_freeze/2024-potus/Mississippi/execute-results/html.json
+++ b/_freeze/2024-potus/Mississippi/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Mississippi.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Mississippi. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Mississippi.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Mississippi. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Missouri/execute-results/html.json b/_freeze/2024-potus/Missouri/execute-results/html.json
index 73657277..6831aeca 100644
--- a/_freeze/2024-potus/Missouri/execute-results/html.json
+++ b/_freeze/2024-potus/Missouri/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Missouri.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Missouri. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Missouri.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Missouri. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Montana/execute-results/html.json b/_freeze/2024-potus/Montana/execute-results/html.json
index b229a3c0..df2f8fd4 100644
--- a/_freeze/2024-potus/Montana/execute-results/html.json
+++ b/_freeze/2024-potus/Montana/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is all but guaranteed to beat Kamala Harris** in Montana.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Montana.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/National/execute-results/html.json b/_freeze/2024-potus/National/execute-results/html.json
index 1f813dab..80ad4028 100644
--- a/_freeze/2024-potus/National/execute-results/html.json
+++ b/_freeze/2024-potus/National/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "7954565330d8d2e3cfd7405c9090876a",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=80%}\n\n\nAs of August 17th, the forecast indicates that it's **unclear whether Kamala Harris or Donald Trump will win** the presidency.\n\n\n:::\n::: {.column width=20%}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"12%\"}\n{width=120}\n:::\n::: {.column width=\"38%\"}\n\n\n\n
**Kamala Harris** currently has a **41%** chance of being elected America's next president.\nShe's projected to win between **125** and **419** electoral college votes.
\n\n\n\n:::\n::: {.column width=\"12%\"}\n{width=120}\n:::\n::: {.column width=\"38%\"}\n\n\n\n
**Donald Trump** currently has a **58%** chance of re-taking the white house.\nHe's projected to win between **119** and **413** electoral college votes.
\n\n\n\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Projected electoral college votes\nThe model is updated daily, blending state and national polls with non-polling predictors, like economic growth and presidential approval, to generate a range of potential outcomes in the electoral college.\nAs we get closer to election day, the uncertainty around the estimate will decrease.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\nThere is a less than 1% chance of a tie in the electoral college.\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Chance of winning each state\nState-level results determine the makeup of the electoral college.\nMost states heavily favor a particular party, leaving a few competitive battlegrounds that will be decisive in determining the next president.\nHover/click to see more information about a particular state.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n\n:::\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Conditional outcomes\nFrom the thousands of simulations, the model can see how the electoral college outcome changes when each candidate wins in a specific state.\nIf Harris wins in a red-leaning state, for example, it's likelier that she also wins in competitive states.\n\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n{width=1152}\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::: {.column width=\"70%\"}\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=80%}\n\n\nAs of August 18th, the forecast indicates that it's **unclear whether Kamala Harris or Donald Trump will win** the presidency.\n\n\n:::\n::: {.column width=20%}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"12%\"}\n{width=120}\n:::\n::: {.column width=\"38%\"}\n\n\n\n
**Kamala Harris** currently has a **42%** chance of being elected America's next president.\nShe's projected to win between **126** and **419** electoral college votes.
\n\n\n\n:::\n::: {.column width=\"12%\"}\n{width=120}\n:::\n::: {.column width=\"38%\"}\n\n\n\n
**Donald Trump** currently has a **57%** chance of re-taking the white house.\nHe's projected to win between **119** and **412** electoral college votes.
\n\n\n\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Projected electoral college votes\nThe model is updated daily, blending state and national polls with non-polling predictors, like economic growth and presidential approval, to generate a range of potential outcomes in the electoral college.\nAs we get closer to election day, the uncertainty around the estimate will decrease.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\nThere is a less than 1% chance of a tie in the electoral college.\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Chance of winning each state\nState-level results determine the makeup of the electoral college.\nMost states heavily favor a particular party, leaving a few competitive battlegrounds that will be decisive in determining the next president.\nHover/click to see more information about a particular state.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n\n:::\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Conditional outcomes\nFrom the thousands of simulations, the model can see how the electoral college outcome changes when each candidate wins in a specific state.\nIf Harris wins in a red-leaning state, for example, it's likelier that she also wins in competitive states.\n\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n{width=1152}\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::: {.column width=\"70%\"}\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n",
"supporting": [
"National_files"
],
diff --git a/_freeze/2024-potus/National/figure-html/plot-conditionals-1.png b/_freeze/2024-potus/National/figure-html/plot-conditionals-1.png
index 83639645..3334a75b 100644
Binary files a/_freeze/2024-potus/National/figure-html/plot-conditionals-1.png and b/_freeze/2024-potus/National/figure-html/plot-conditionals-1.png differ
diff --git a/_freeze/2024-potus/Nebraska CD-1/execute-results/html.json b/_freeze/2024-potus/Nebraska CD-1/execute-results/html.json
index c75b6cb7..f023111f 100644
--- a/_freeze/2024-potus/Nebraska CD-1/execute-results/html.json
+++ b/_freeze/2024-potus/Nebraska CD-1/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Nebraska CD-1.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Nebraska CD-1. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Nebraska CD-1.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Nebraska CD-1. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Nebraska CD-2/execute-results/html.json b/_freeze/2024-potus/Nebraska CD-2/execute-results/html.json
index 2c26d5f0..97dde8d0 100644
--- a/_freeze/2024-potus/Nebraska CD-2/execute-results/html.json
+++ b/_freeze/2024-potus/Nebraska CD-2/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that it's **unclear whether Kamala Harris or Donald Trump will win** in Nebraska CD-2.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Nebraska CD-2. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that it's **unclear whether Kamala Harris or Donald Trump will win** in Nebraska CD-2.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Nebraska CD-2. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Nebraska CD-3/execute-results/html.json b/_freeze/2024-potus/Nebraska CD-3/execute-results/html.json
index 63c412a6..6c9a2a2c 100644
--- a/_freeze/2024-potus/Nebraska CD-3/execute-results/html.json
+++ b/_freeze/2024-potus/Nebraska CD-3/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is all but guaranteed to beat Kamala Harris** in Nebraska CD-3.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Nebraska CD-3. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is all but guaranteed to beat Kamala Harris** in Nebraska CD-3.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Nebraska CD-3. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Nebraska/execute-results/html.json b/_freeze/2024-potus/Nebraska/execute-results/html.json
index 472f9c6c..17116014 100644
--- a/_freeze/2024-potus/Nebraska/execute-results/html.json
+++ b/_freeze/2024-potus/Nebraska/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is all but guaranteed to beat Kamala Harris** in Nebraska.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Nebraska. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is all but guaranteed to beat Kamala Harris** in Nebraska.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Nebraska. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Nevada/execute-results/html.json b/_freeze/2024-potus/Nevada/execute-results/html.json
index e2694d1e..15752045 100644
--- a/_freeze/2024-potus/Nevada/execute-results/html.json
+++ b/_freeze/2024-potus/Nevada/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is likely to beat Kamala Harris** in Nevada.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is likely to beat Kamala Harris** in Nevada.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/New Hampshire/execute-results/html.json b/_freeze/2024-potus/New Hampshire/execute-results/html.json
index 79ffe8b4..ade079d5 100644
--- a/_freeze/2024-potus/New Hampshire/execute-results/html.json
+++ b/_freeze/2024-potus/New Hampshire/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is likely to beat Donald Trump** in New Hampshire.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is likely to beat Donald Trump** in New Hampshire.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/New Jersey/execute-results/html.json b/_freeze/2024-potus/New Jersey/execute-results/html.json
index 8272a0b5..9509816d 100644
--- a/_freeze/2024-potus/New Jersey/execute-results/html.json
+++ b/_freeze/2024-potus/New Jersey/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is very likely to beat Donald Trump** in New Jersey.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in New Jersey. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is very likely to beat Donald Trump** in New Jersey.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in New Jersey. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/New Mexico/execute-results/html.json b/_freeze/2024-potus/New Mexico/execute-results/html.json
index e2d2e295..18ff81e8 100644
--- a/_freeze/2024-potus/New Mexico/execute-results/html.json
+++ b/_freeze/2024-potus/New Mexico/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is likely to beat Donald Trump** in New Mexico.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is likely to beat Donald Trump** in New Mexico.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/New York/execute-results/html.json b/_freeze/2024-potus/New York/execute-results/html.json
index 81644aee..64e27ca9 100644
--- a/_freeze/2024-potus/New York/execute-results/html.json
+++ b/_freeze/2024-potus/New York/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is very likely to beat Donald Trump** in New York.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is very likely to beat Donald Trump** in New York.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/North Carolina/execute-results/html.json b/_freeze/2024-potus/North Carolina/execute-results/html.json
index 3e67562b..b3e42171 100644
--- a/_freeze/2024-potus/North Carolina/execute-results/html.json
+++ b/_freeze/2024-potus/North Carolina/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is likely to beat Kamala Harris** in North Carolina.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is likely to beat Kamala Harris** in North Carolina.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/North Dakota/execute-results/html.json b/_freeze/2024-potus/North Dakota/execute-results/html.json
index 2b13c202..7a5cc449 100644
--- a/_freeze/2024-potus/North Dakota/execute-results/html.json
+++ b/_freeze/2024-potus/North Dakota/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is all but guaranteed to beat Kamala Harris** in North Dakota.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in North Dakota. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is all but guaranteed to beat Kamala Harris** in North Dakota.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in North Dakota. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Ohio/execute-results/html.json b/_freeze/2024-potus/Ohio/execute-results/html.json
index 188586b4..000bd6f5 100644
--- a/_freeze/2024-potus/Ohio/execute-results/html.json
+++ b/_freeze/2024-potus/Ohio/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Ohio.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Ohio.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Oklahoma/execute-results/html.json b/_freeze/2024-potus/Oklahoma/execute-results/html.json
index 04200b61..2dc4b5c7 100644
--- a/_freeze/2024-potus/Oklahoma/execute-results/html.json
+++ b/_freeze/2024-potus/Oklahoma/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is all but guaranteed to beat Kamala Harris** in Oklahoma.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Oklahoma. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is all but guaranteed to beat Kamala Harris** in Oklahoma.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Oklahoma. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Oregon/execute-results/html.json b/_freeze/2024-potus/Oregon/execute-results/html.json
index 5959e4f3..912d65f2 100644
--- a/_freeze/2024-potus/Oregon/execute-results/html.json
+++ b/_freeze/2024-potus/Oregon/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is likely to beat Donald Trump** in Oregon.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is likely to beat Donald Trump** in Oregon.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Pennsylvania/execute-results/html.json b/_freeze/2024-potus/Pennsylvania/execute-results/html.json
index 95fe3623..648376d6 100644
--- a/_freeze/2024-potus/Pennsylvania/execute-results/html.json
+++ b/_freeze/2024-potus/Pennsylvania/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that it's **unclear whether Kamala Harris or Donald Trump will win** in Pennsylvania.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that it's **unclear whether Kamala Harris or Donald Trump will win** in Pennsylvania.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Rhode Island/execute-results/html.json b/_freeze/2024-potus/Rhode Island/execute-results/html.json
index fa986d88..a29dd2de 100644
--- a/_freeze/2024-potus/Rhode Island/execute-results/html.json
+++ b/_freeze/2024-potus/Rhode Island/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is very likely to beat Donald Trump** in Rhode Island.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Rhode Island. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is very likely to beat Donald Trump** in Rhode Island.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Rhode Island. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/South Carolina/execute-results/html.json b/_freeze/2024-potus/South Carolina/execute-results/html.json
index f63196de..0b522cf7 100644
--- a/_freeze/2024-potus/South Carolina/execute-results/html.json
+++ b/_freeze/2024-potus/South Carolina/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in South Carolina.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in South Carolina. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in South Carolina.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in South Carolina. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/South Dakota/execute-results/html.json b/_freeze/2024-potus/South Dakota/execute-results/html.json
index 86617012..d577cd17 100644
--- a/_freeze/2024-potus/South Dakota/execute-results/html.json
+++ b/_freeze/2024-potus/South Dakota/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in South Dakota.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in South Dakota. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in South Dakota.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in South Dakota. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Tennessee/execute-results/html.json b/_freeze/2024-potus/Tennessee/execute-results/html.json
index 6250d5ce..aac45c93 100644
--- a/_freeze/2024-potus/Tennessee/execute-results/html.json
+++ b/_freeze/2024-potus/Tennessee/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Tennessee.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Tennessee. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Tennessee.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Tennessee. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Texas/execute-results/html.json b/_freeze/2024-potus/Texas/execute-results/html.json
index 4d4204ca..14bd818b 100644
--- a/_freeze/2024-potus/Texas/execute-results/html.json
+++ b/_freeze/2024-potus/Texas/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Texas.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Texas.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Utah/execute-results/html.json b/_freeze/2024-potus/Utah/execute-results/html.json
index a34fbe12..70e5e8f5 100644
--- a/_freeze/2024-potus/Utah/execute-results/html.json
+++ b/_freeze/2024-potus/Utah/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Utah.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Utah. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is very likely to beat Kamala Harris** in Utah.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Utah. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Vermont/execute-results/html.json b/_freeze/2024-potus/Vermont/execute-results/html.json
index 69074c23..e6406be8 100644
--- a/_freeze/2024-potus/Vermont/execute-results/html.json
+++ b/_freeze/2024-potus/Vermont/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is all but guaranteed to beat Donald Trump** in Vermont.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Vermont. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is all but guaranteed to beat Donald Trump** in Vermont.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Vermont. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Virginia/execute-results/html.json b/_freeze/2024-potus/Virginia/execute-results/html.json
index 318f0ec3..67d10390 100644
--- a/_freeze/2024-potus/Virginia/execute-results/html.json
+++ b/_freeze/2024-potus/Virginia/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is likely to beat Donald Trump** in Virginia.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is likely to beat Donald Trump** in Virginia.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Washington/execute-results/html.json b/_freeze/2024-potus/Washington/execute-results/html.json
index c69b7f14..7f8b895d 100644
--- a/_freeze/2024-potus/Washington/execute-results/html.json
+++ b/_freeze/2024-potus/Washington/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Kamala Harris is very likely to beat Donald Trump** in Washington.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Kamala Harris is very likely to beat Donald Trump** in Washington.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/West Virginia/execute-results/html.json b/_freeze/2024-potus/West Virginia/execute-results/html.json
index 8d2e92cf..2f74bf64 100644
--- a/_freeze/2024-potus/West Virginia/execute-results/html.json
+++ b/_freeze/2024-potus/West Virginia/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is all but guaranteed to beat Kamala Harris** in West Virginia.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in West Virginia. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is all but guaranteed to beat Kamala Harris** in West Virginia.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in West Virginia. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Wisconsin/execute-results/html.json b/_freeze/2024-potus/Wisconsin/execute-results/html.json
index de6f4518..5493cc0f 100644
--- a/_freeze/2024-potus/Wisconsin/execute-results/html.json
+++ b/_freeze/2024-potus/Wisconsin/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that it's **unclear whether Kamala Harris or Donald Trump will win** in Wisconsin.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that it's **unclear whether Kamala Harris or Donald Trump will win** in Wisconsin.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"
diff --git a/_freeze/2024-potus/Wyoming/execute-results/html.json b/_freeze/2024-potus/Wyoming/execute-results/html.json
index 54cb4657..18e1b86b 100644
--- a/_freeze/2024-potus/Wyoming/execute-results/html.json
+++ b/_freeze/2024-potus/Wyoming/execute-results/html.json
@@ -2,7 +2,7 @@
"hash": "33ef22863f8e8a8325bc405c8322e46f",
"result": {
"engine": "knitr",
- "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 17th, the forecast indicates that **Donald Trump is all but guaranteed to beat Kamala Harris** in Wyoming.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Wyoming. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[New Hampshire](New Hampshire.qmd)
[Virginia](Virginia.qmd)
[Minnesota](Minnesota.qmd)
[North Carolina](North Carolina.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
+ "markdown": "---\nformat: \n html:\n code-fold: true\n page-layout: custom\n fig-align: center\n fig-width: 12\n fig-height: 4\nexecute: \n message: false\n warning: false\n echo: false\nparams:\n state: \"Oklahoma\"\n branch: \"dev\"\n---\n\n::: {.cell}\n\n:::\n\n\n\n::::: {.column-body-custom}\n\n:::: {.columns}\n::: {.column width=\"80%\"}\n\n\nAs of August 18th, the forecast indicates that **Donald Trump is all but guaranteed to beat Kamala Harris** in Wyoming.\n\n\n:::\n::: {.column width=\"20%\"}\n:::\n::::\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Presidential probabilities\nEach day, the model simulates thousands of plausible election results, from landslide victories to tightly contested races.\nEach candidate’s probability of winning is the proportion of simulations that they’ve won.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### Forecasted election-day voteshare\nThe model first constructs a polling average, pooling data across similar states when polls are sparse.\nIt then projects forward to election day, initially relying on non-polling indicators like economic growth and partisanship, but aligning more closely with the polling average as election day approaches.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n\n\n```\n\n:::\n:::\n\n
*No polls have been conducted in Wyoming. The projected voteshare is estimated using economic and approval indicators, as well as polling information from similar states.*
\n\n::: {.cell}\n\n:::\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"60%\"}\n\n\n### State similarities\nThe model uses state characteristics, like demographic composition, population density, and education, to estimate how similar states are to one another.\nSimilar states are more likely to share polling biases and see similar shifts in polling trendlines.\n\n\n:::\n::: {.column width=\"40%\"}\n:::\n::::\n\n\n\n{height=700 fig-align='center'}\n\n\n\n---\n\n:::: {.columns}\n::: {.column width=\"30%\"}\n\n\n\nSources: Ballotpedia; Cook Political Report; The Economist; Federal Reserve Bank of St. Louis; FiveThirtyEight; Urban Stats; 270towin.com\n
\n
\n[{{< fa brands github >}} View the source code](https://github.com/markjrieke/2024-potus/tree/main)\n
\n[{{< fa solid database >}} Explore the output](https://github.com/markjrieke/2024-potus/tree/main/out)\n\n\n\n:::\n::::\n\n---\n\n:::::\n\n::::: {.column-margin-custom}\n\n\n\n**[National Forecast](National.qmd)**
[How this works](../posts/2024-07-04-forecast-methodology/index.qmd)\n\n
**Competitive states**
[Michigan](Michigan.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Wisconsin](Wisconsin.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Arizona](Arizona.qmd)
[Nevada](Nevada.qmd)
[Georgia](Georgia.qmd)
[North Carolina](North Carolina.qmd)
[Virginia](Virginia.qmd)
[New Hampshire](New Hampshire.qmd)
[Minnesota](Minnesota.qmd)
[New Mexico](New Mexico.qmd)
[Maine](Maine.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Colorado](Colorado.qmd)
[Florida](Florida.qmd)
[Oregon](Oregon.qmd)\n\n
**All states**
[Alabama](Alabama.qmd)
[Alaska](Alaska.qmd)
[Arizona](Arizona.qmd)
[Arkansas](Arkansas.qmd)
[California](California.qmd)
[Colorado](Colorado.qmd)
[Connecticut](Connecticut.qmd)
[Delaware](Delaware.qmd)
[District of Columbia](District of Columbia.qmd)
[Florida](Florida.qmd)
[Georgia](Georgia.qmd)
[Hawaii](Hawaii.qmd)
[Idaho](Idaho.qmd)
[Illinois](Illinois.qmd)
[Indiana](Indiana.qmd)
[Iowa](Iowa.qmd)
[Kansas](Kansas.qmd)
[Kentucky](Kentucky.qmd)
[Louisiana](Louisiana.qmd)
[Maine CD-1](Maine CD-1.qmd)
[Maine CD-2](Maine CD-2.qmd)
[Maine](Maine.qmd)
[Maryland](Maryland.qmd)
[Massachusetts](Massachusetts.qmd)
[Michigan](Michigan.qmd)
[Minnesota](Minnesota.qmd)
[Mississippi](Mississippi.qmd)
[Missouri](Missouri.qmd)
[Montana](Montana.qmd)
[Nebraska CD-1](Nebraska CD-1.qmd)
[Nebraska CD-2](Nebraska CD-2.qmd)
[Nebraska CD-3](Nebraska CD-3.qmd)
[Nebraska](Nebraska.qmd)
[Nevada](Nevada.qmd)
[New Hampshire](New Hampshire.qmd)
[New Jersey](New Jersey.qmd)
[New Mexico](New Mexico.qmd)
[New York](New York.qmd)
[North Carolina](North Carolina.qmd)
[North Dakota](North Dakota.qmd)
[Ohio](Ohio.qmd)
[Oklahoma](Oklahoma.qmd)
[Oregon](Oregon.qmd)
[Pennsylvania](Pennsylvania.qmd)
[Rhode Island](Rhode Island.qmd)
[South Carolina](South Carolina.qmd)
[South Dakota](South Dakota.qmd)
[Tennessee](Tennessee.qmd)
[Texas](Texas.qmd)
[Utah](Utah.qmd)
[Vermont](Vermont.qmd)
[Virginia](Virginia.qmd)
[Washington](Washington.qmd)
[West Virginia](West Virginia.qmd)
[Wisconsin](Wisconsin.qmd)
[Wyoming](Wyoming.qmd)\n\n\n\n:::::\n\n",
"supporting": [],
"filters": [
"rmarkdown/pagebreak.lua"