trying to stabilise this idea part
   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.