Say you map out the entire decision tree of an individuals life starting from birth. Each node has N branches, where N is very large, and delta t approaching zero. Lets keep it finite density because we want some results. Now you trace out the individuals realised path outcome amongst this vast set of possibilities. From the beginning to the The End. I want to be able to sort the wheat from the chaff: some kind of principal component analysis to see what the key decisions are - are they 'big' things like education, who you marry etc, or tiny stuff like I poured an extra spoonful of bran flakes, which made me 1 sec late, which meant the bus missed me by a whisker?. How would you get an answer? Also, how do you separate out the things you can control with things you cant. Which is more important? What happens if/because delta t is less then the Planck length? Have you seen any attempts to model such things?