Documentation for distribution of latency with different jitter values

[dspyz-matician]

latency +/- jitter seems to imply you flip a coin and choose latency + jitter if heads or latency - jitter if tails, but I'm guessing it's actually a uniform distribution between latency - jitter and latency + jitter? (Or is it a Gaussian or Laplace distribution? I think Laplace is more typical for modeling this kind of noise)

Also what happens if jitter > latency? Is it uniform in the range (0, latency+jitter)? Or is it uniform in the range (latency-jitter, latency+jitter) but with negative values getting clamped to 0? (In the latter case, the probability of having no latency at all is non-negligible)

A realistic network will have some packet loss which means every once in a while messages are much slower (2x-3x) than in the common case, but that doesn't really seem to be captured by the latency +/- jitter model (since the distribution is tightly bounded to a range about a single value). In order to better simulate this, can I add multiple latency toxics to the same proxy each with different toxicity levels and will they be independently sampled and have their latencies added together?