A number of knowledgeable fans such as yourself go off course when it comes to some of the finer statistical points regarding ERA and it's defense-independent compatriots. The predictive value of ERA is all about sample size - at a certain point, it becomes the best predictor of future ERA. In a sample sample, however, it has zero value. Not because the small-sample ERA tells us literally nothing - for instance, even Milone's ERA in 53 IP is enough to be confident he isn't actually a mediocre high schooler that is just getting lucky. But, all of the valuable information being captured by ERA is also captured by xFIP. I've never used an underline before on TD, but that is really the crucial point. You are never better off using small sample ERA as opposed to xFIP, because the expected error value is always higher with ERA than with xFIP. Therefore, a rational analyst must use a normalized metric over ERA in a small-sample situation to produce the lowest expected error. I am at a loss as to how any other conclusion can be reached. If you object to my tone, I understand, but as to my conclusion I would appreciate a substantive explanation of how any other outcome is possible.