a big component of simulating time is considering outcome and causality trees.

a simple useful outcome tree might be sums of uniform distributions. an example could possibly handle them with a heuristic class that can solve them given known values for some of them.

however, real probability transformation to brownian-like distributions provides the correct answer here.