Of Old Baseball Gloves and Sabermetrics

Anyway, the thing which strikes me about Baseball Between the Numbers is that it’s largely grown obsolete in just a half-decade. For almost 20 years, baseball management largely resisted serious statistical analysis. Management largely consisted of former players, and few were inclined to take outside analysis seriously. This was partly willful blindness–”He never played the game”–and partly statistical ignorance. But a generation later, baseball’s management’s (unexpectedly) become more businesslike, and a newer generation of baseball players–and coaches and field managers–includes a sprinkling of folks who grew up reading James, Pete Palmer, or authors influenced by James and Palmer. Some of those players have moved to front office jobs. And while fans still have blind spots, they’re generally more aware that many numbers are influenced by ballpark and batting order, and that there are legitimate reasons to debate baseball’s accepted wisdom.

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Now What?

Although they’re also eligible to retire, some of my colleagues are not sure how they’d fill their days without the pattern of a daily job. So they are staying on. This is good, as their experience will be valuable as new staff joins, and the new leadership reorganizes, state government. Note, though, that they read absence of routine into the "Now What?" question, and vote for structure. There’s another reading for the question. I see a multitude of opportunities.

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Akers Memories

What I think the portrait misses is that Owen’s heavy workload was fairly seamless; I had contacts with him in several of his roles and he was always the same person, working on the same causes, and finding reinforcement from his friends and colleagues as he moved from meeting to meeting. A strenuous life, yes, and not everyone loved Owen Akers, but many did.

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Once Upon a Time: a reporting story

As I was completing my analysis of my data, the PM authorized a mailing based on an 80,000 estimate. I hit “reply to all” and opined that the estimate was low, and supported the opinion with “better” data. I also pointed out that there were three estimates available and suggested that someone ought to figure out why we differed before committing to any of them.

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