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The Bill James Baseball Abstract 1988: a review

The team essays are, as in the 1987 edition, focused on the teams; most, frankly, are pretty dull. The Twins essay did a fine job of dissecting their success, though, and a followup essay skewered the notion that the Twinkies were unusually dependent on two pitchers. The Oakland chapter is largely devoted to trying to understand LaRussa’s quirks, which turned out to be an ongoing sabermetric theme. The excellent Cards essay triggered a second excellent essay which used Herzog as an excuse to examine the field manager’s job. And the Astros essay is one of the finest analyses of a team’s season anyone’s written.

Win Shares by Bill James with Jim Henzler: a review

I originally read Win Shares just after the book was published, then studied it a year or so later when I adapted its framework for a minor league research project. I found that the practical application was really helpful to understanding how the pieces fit together (although, sadly, it didn’t much help my project). This decade-later read benefits from familiarity, now, and from watching other folks apply Bill’s methods. Nonetheless, this is a difficult book.

Curve Ball by Jim Albert and Jay Bennett: a short review

The book’s enjoyable if you’ve some background in academic statistics, but it’s likely difficult reading if you’ve not encountered that notation and vocabulary. I worked my way through the discussions, but was rummaging through four-decade-old memories from time to time. It’s certainly an essential book if you’re seriously interested in serious baseball analysis.

The Best of Baseball Prospectus: a review

The best stuff is classic. BP published Voros McCracken’s “How Much Control Do Hurlers Have?”, likely the most influential sabermetric essay published in this century; it’s here, as are several author’s reactions. Rany Jazayerli’s delightful, twelve-part exploration of the free agent draft is reproduced as written; it’s fun and informative (though this is one of the places where a the book’s web origins really show; a rewrite would surely make things more coherent). Keith Woolner and James Click explore the areas sabermetrics had not, as of their essays, examined; everyone should read these essays for an overview of the discipline’s landscape. There’s a representative selection of Christina Kahrl’s delightful Transaction Analysis columns; I always looked forward to those. Joe Sheehan, Doug Pappas, Nate Silver, Gary Huckabee, Jonah Keri, and Dayn Perry are all represented; Derek Zumsteg, sad to report, is not.

A Princess of Passyunk by Maya Kaathryn Bohnhoff: a short review

Magical Reality comes to Polish immigrants in early-1950s South Philly. Faith, family, love, and baseball. And a cockroach or twelve.

Nikon 1 V1: after three weeks

I like the V1 camera. I like it a lot. It takes excellent photographs, is light weight, and is generally easy to use. It’s reasonably flexible. But there are issues. What follows is largely a discussion of things I wish Nikon had done differently, so there’s some danger you’ll think I dislike the camera. That would be a false impression.

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.

Don’t Kill the Umpire by Peter Morris: a short review

Peter Morris reminds us of a handful of violent–or at least potentially violent–events which involved Major League Baseball during 2011, and uses those events as an opportunity to examine the history of violence in the sport. His discussion of the historical patterns of violence in baseball is generally convincing. He also explores some relationships with American culture, though he doesn’t pursue this very deeply. All in all, this is a good short essay on an unexpected topic.

The Dream Machine by Mitchell Waldrop: a short review

This is a terrific book. The writing is lucid, the research–though predominantly from secondary sources–is excellent. If you plan to read one book about the ARPA computing effort, this should be that book.

The Baseball Analyst Issue 4: a review

Mark Lazarus takes a look at the defensive support received by major league pitchers, as measured by error rates. He’s aware of, and discusses, the weaknesses in this analytical method. Nonetheless, this study turned out to be far more interesting than I expected. The anomalies reported in the data are especially interesting. This topic deserves more study. Not sure that I’ve seen such a work.

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