diff --git a/R/check_covar_balance.R b/R/check_covar_balance.R
index 9db1dc9f..e6acbf48 100644
--- a/R/check_covar_balance.R
+++ b/R/check_covar_balance.R
@@ -113,12 +113,6 @@ check_covar_balance <- function(w,
   post_process_abs <- function(abs_cor) {
 
     covar_bl_t <- paste0(covar_bl_trs_type, "_absolute_corr")
-    logger::log_debug(paste0(covar_bl_trs_type,
-                            " absolute correlation: ",
-                            getElement(abs_cor, covar_bl_t)))
-    message(paste0(covar_bl_trs_type, " absolute correlation: ",
-                  getElement(abs_cor, covar_bl_t),
-                  "| Covariate balance threshold: ", covar_bl_trs))
 
     output <- list(corr_results = abs_cor)
 
diff --git a/R/generate_pseudo_pop.R b/R/generate_pseudo_pop.R
index eef86855..2fa71cef 100755
--- a/R/generate_pseudo_pop.R
+++ b/R/generate_pseudo_pop.R
@@ -120,6 +120,11 @@ generate_pseudo_pop <- function(.data,
     covar_bl_trs = covar_bl_trs,
     covar_bl_trs_type = covar_bl_trs_type)
 
+  covar_bl_t <- paste0(covar_bl_trs_type, "_absolute_corr")
+  message(paste0(covar_bl_trs_type, " absolute correlation (original): ",
+                getElement(original_corr_obj$corr_results, covar_bl_t),
+                "| Covariate balance threshold: ", covar_bl_trs))
+
   # Check covariate balance for weighted/matched data, and trimmed if any
   adjusted_corr_obj <- check_covar_balance(
     w = merged_data[, c(exposure_col)],
@@ -130,6 +135,10 @@ generate_pseudo_pop <- function(.data,
     covar_bl_trs = covar_bl_trs,
     covar_bl_trs_type = covar_bl_trs_type)
 
+  message(paste0(covar_bl_trs_type, " absolute correlation (adjusted): ",
+                 getElement(adjusted_corr_obj$corr_results, covar_bl_t),
+                 "| Covariate balance threshold: ", covar_bl_trs))
+
   # check Kolmogorov-Smirnov statistics
   ks_stats <- check_kolmogorov_smirnov(w = merged_data[, c(exposure_col)],
                                        c = merged_data[, covariate_cols],
@@ -181,11 +190,6 @@ generate_pseudo_pop <- function(.data,
 
   end_time_gpp <- proc.time()
 
-  # logger::log_debug("Wall clock time to run generate_pseudo_pop:",
-  #                   " {(end_time_gpp -   st_time_gpp)[[3]]} seconds.")
-  # logger::log_debug("Covariate balance condition has been met (TRUE/FALSE):",
-  #                   " {adjusted_corr_obj$pass}, (iteration:",
-  #                   " {counter} / {max_attempt})")
   invisible(result)
   }