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Originally Posted by HUSKER55
Deltalover: Nice post!  FWIW you just pinted out some errors I am making and I thank you.
Horse's names for example. You are right. Data either fits the matrix or it does not. |
A common pitfall most of the serious students of the game are falling in has to do with confusion in the layers of decision making process. We should start from the bottom which consists with the very primitive data adding an analytical tier which will transform them to comparable numerical quantities and then continue with synthetic processes until all the noise associated with individualities of each starter is eliminated have as lean and comprehensive representation of the event.
Using simulations we can easily conclude of the validity or our views, so if we need more detailed data we add them to the base 'primitive' level and start again until we have a viable approach. Starting with an increased quantity of detailed data should be avoided since the more details we have the larger our sample needs to be and the higher is the probability to reach wrong conclusions.
