attempt to summarise again - it seems fun to make value tracers for uniform sums. this might involve three classes: uniform distributions, scalars, and sums. - example heuristic tracers could produce a possible value with incorrect distribution - later, real tracers could consider a range of trees and calculate distributions backward from the distribution of sums
simplify: - heuristic "+" expression value tracers for uniform distributions could open design options up. all they would do would be to produce a possible sample given known values. - it might not end up being productive to do, but gives an avenue of work. another consideration is brownian distributions.
