Quote:
Originally Posted by Peter_Spaeth
Those are the product of the same set of games you dismissed as being too small a sample size to be meaningful, so why are they now meaningful when they favor your argument?
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Because the sample sizes needed for those statistics is remarkably smaller than it is for ERA, and thus their corresponding confidence intervals are much narrower. This is because they are not nearly as subject to luck as ERA is. It takes years for ERA to converge. It takes months for K/9, BB/9, and even FIP.