Statistics and baseball 

 With the World Series about to get underway, featuring the rubber match between the  Detroit Tigers  and the  St. Louis Cardinals  (Round 1 went to the Cardinals in 1934, Round 2 to the Tigers in 1968, but maybe this is a best of five and we won't see the end until 2076), it is worth reflecting on the influence baseball has had on statistics and vice versa.  I mentioned Frederick Mosteller's analysis after the 1946 World Series in a  previous post , but many statisticians share his interest in baseball.  Dozens of baseball-related articles have appeared in statistical journals over the years, attempting to answer substantive questions (" Did Shoeless Joe Jackson throw the 1919 World Series? ") or to motivate statistical techinques (" Parametric Empirical Bayes Inference: Theory and Applications ", with application to Ty Cobb's batting average).  Within political science, more than one methodologist has told me about the hours that they spent tracking batting averages and OBP's when they were growing up (OK, so it may have been cricket in a few cases).  Going in the other direction, there is no question that the  Moneyball   approach to baseball has been enormously influential, even if the jury is still out about its implications for the post-season.  As Harry Reasoner once said, "Statistics are to baseball what a flaky crust is to Mom's apple pie."  To which I can only add, Go Tigers!