Recently I swapped the slot ordering process using a normal distribution (mean and standard deviation) for a Poisson distribution (only using mean). This is a simpler method of representing the slot ordering process. However, according to the onAB blocks results, it is slower to converge. This may be due to the Poisson distribution solely, or perhaps I also put other changes in (I think I also included the retesting of stale policies code as well). I may have to put the normal distribution code back in and test it again back to back.