Ouch!! That hurts. So more doesn't always equal better? Like you can have plenty of knowledge, yet not enough wisdom, which is the application of knowledge?
Preaching to the choir. This exemplifies the problem of relying blindly/too much on a statistical model per se, without paying equal attention to how you are going to use those statistics, that knowledge.
 | Simon Nainby (@SiNainby) |
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"More data such as paying attention to eye colors of people when crossing a street can make you miss the big truck." pic.twitter.com/MtVSByxXUT
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The Dodgers may have lost a game, a series, a shot at a World Series berth and a manager all because a SS didn't know he had the cover of 3B when the 3B was shifted into RF. You can say that is not a failure of the statistical model all you want, but in a reach to maybe shave what .005 or .010 point off the opponents average, to say nothing of being slavish adherents to a "follow the cool trend or get left behind" the Dodgers came up big losers. And that is with having a big check book to back up the Moneyball approach which seems like an oxymoron. But that's modern day baseball.
Let;s see if the Mets and the Matt Harvey saga come up to bite them on the butt when they least expect it for similar underlying reasons.
Oh yeah, and the A's finished in last place.
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