And how exactly do you know the sample size, including 2022, is too small, considering the size of the variances? As far as I know there is no actual reference material for this, but I'd be happy to see it.
OK, but if we apply it to baseball, a small variance in a small sample size doesn't mean the sample is large enough.
The determination of whether the sample size is large enough is always going to be an inexact science. Just ask any baseball manager LOL
You guys keep talking about sample size with McGuire and Wong. But variance size matters too, and the variance size is enormous. And as the sample size gets bigger the variance is supposed to get smaller. That ain't happening.
Article in the Athletic today about the Sox catching issues, and Cora talking about Vaz and how much he has grown as a player. Cora's words had a "wistful" tone, you might say.
Yeah, but Bloom said he was going to acquire a starter with "leadership, innings and UPSIDE".
Kluber has about as much upside as the Titanic. It's a complete joke that Bloom would say something like that and follow it up like that. But we're not laughing.
If Kluber and Yoshida both continue to suck, that pretty much has to be it for Bloom, seriously. The guy seems to be throwing darts, and too often missing the board completely.
Of course it may well be that our big starting pitching acquisition Kluber is fully washed up, and yet another blunder by Bloom. Certainly can't rule that out. Various troubling scenarios in play.