Of COURSE the question of distribution, in general terms, influences my thinking-- that\'s how everyone does figures, not just me. That\'s what the \"projection\" method is all about, whether it\'s stated consciously or not. But that\'s not the same as tying every race to the average, or to your expectation.
This goes to a statement that Friedman made at the Expo, which I didn\'t react to quickly enough to respond to, and which I addressed here once before. Andy and I were explaining why it was right to make race by race variants,and Len said it was wrong because (paraphrasing) in the long run, all permutations (distributions) are possible, and will happen, so it is right to tie every race to the surrounding races (barring extreme weather). There are two problems with this--
1-- as the presentation in the archives shows, it is wrong to make the assumption that the track is staying the same \"speed\".
2-- Yes, all permutaions are possible, BEFORE THEY RUN THE RACE. Once they run the race the relationships between the horses are fixed by lengths beaten, ground, and weight-- you can\'t change one without changing the rest. This means that realistically there are only two or three things you can consider doing with a race-- P Eckharts alternative theory on the Kee races, for example, was the only other one you could seriously consider, and the incredibly high percentage of \"X\"\'s compared to the very low percentage of new tops doing it that way would bring made it unlikely. Along the way, you do come across lots of permutations-- some days (like that nightmarish Kee 4/23 day) you get a few horses who jump out of their skin, AND a lot who X out. I don\'t just decide to have less horses X out to conform with averages, since that would give the ones who ran out of their minds even crazier numbers than I assigned for that day, which were plenty crazy enough.
Of course, you can avoid all this by just using an average variant for the whole day, like Ragozin does-- sprints, routes, start to finish, just throw them together and look at distribution. That way you only have to make one decision.