If you're a manager or coach, and you see enough to convince you that Boosh struggles in the stretch position, you try to limit the exposure to that damage, right? The point I was driving across was that, if you ONLY have the raw data, making decisions based on a small sample is foolish, especially when a larger one is available. It's like flipping a coin 10 times, getting 7 heads and deciding that the coin flips heads more than tails. As I said, if Yost has other information (like scouting) at his fingertips that I'm not privy to (which is what I assume), fine. If he looked at the coin and saw something that might cause the odd results, that's additional information and it needs to be considered. But 7 heads in 10 flips in itself isn't enough evidence to conclude the unexpected. And how many times are those silly saber guys correct when they suggested that you are better off ignoring those early numbers? This year alone has countless examples. I read from a guy that I respect that Sheets could be replaced by a pitcher with a 4.5 ERA because that's what his current ERA was. We had someone suggest Suppan and Capuano were better pitchers than Sheets! Tony Gwynn Jr. was supposed to be the everyday lead off hitter based almost exclusively on the results of 36 AB. Hart was over rated and shouldn't start every day, if at all. So many examples just from this year. It's no wonder you hear "small sample" until you want to explode. What a typical baseball fan wants to be able do is skim the sports page in his Sunday newspaper in May and start making generalizations based on 50 IP or 150 AB. There's so much more information available... use it. If a person wants to formulate an educated opinion on a player, they should consider all the information available, whether it be stats from last year or current scouting information. They should also appreciate the inherent uncertainty of the stats they are looking at. And you're always rhetorically asking, "when is a sample big enough?" but I don't know if you've ever really wanted to know the answer. I've shown many times the uncertainty associated with small samples but I don't think you aren't very interested in that kind of stuff. You don't have to be but then I think it's unfair to still question the validity of the concept. I didn't make those darn, pesky statistical laws, so that I could win arguments over people on the internet. They exist because they exist. If you or anyone else wants to conclude a coin is flawed because it flipped 7 heads out of 10, don't be surprised when someone tells you that you are being hasty.