What Moneyball-for-Everything Has Done to American Culture

ogc163

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The return of the World Series this weekend offers an opportunity to engage in America’s real national pastime: wondering loudly why people don’t like baseball as much as they used to.

Speaking personally, my relationship to the game these days is one of nostalgic befuddlement. The nostalgia part comes from spotless memories of watching Sunday Night Baseball on my parents’ couch, nestled between my dad and my dog: the chintzy ESPN graphics, the theme song that sounded straight out of a video game, the dulcet baritones of the announcers Jon Miller and Joe Morgan. The befuddlement part comes from the fact that, like a lot of people of my generation, I spend a weird amount of time wondering why I don’t spend any amount of time watching baseball anymore.

Possible reasons abound. After the steroid scandals of the 2000s, the stars of my childhood got dragged onto C-SPAN, ceremonially berated for cheating by grumpy old dudes, and blacklisted from the Hall of Fame. Kind of a bummer, to be honest. But on a deeper level, I think what happened is that baseball was colonized by math and got solved like an equation.

The analytics revolution, which began with the movement known as Moneyball, led to a series of offensive and defensive adjustments that were, let’s say, catastrophically successful. Seeking strikeouts, managers increased the number of pitchers per game and pushed up the average velocity and spin rate per pitcher. Hitters responded by increasing the launch angles of their swings, raising the odds of a home run, but making strikeouts more likely as well. These decisions were all legal, and more important, they were all correct from an analytical and strategic standpoint.

Smarties approached baseball like an equation, optimized for Y, solved for X, and proved in the process that a solved sport is a worse one. The sport that I fell in love with doesn’t really exist anymore. In the 1990s, there were typically 50 percent more hits than strikeouts in each game. Today, there are consistently more strikeouts than hits. Singles have swooned to record lows, and hits per game have plunged to 1910s levels. In the century and a half of MLB history covered by the database Baseball Reference, the 10 years with the most strikeouts per game are the past 10.


The religion scholar James P. Carse wrote that there are two kinds of games in life: finite and infinite. A finite game is played to win; there are clear victors and losers. An infinite game is played to keep playing; the goal is to maximize winning across all participants. Debate is a finite game. Marriage is an infinite game. The midterm elections are finite games. American democracy is an infinite game. A great deal of unnecessary suffering in the world comes from not knowing the difference. A bad fight can destroy a marriage. A challenged election can destabilize a democracy. In baseball, winning the World Series is a finite game, while growing the popularity of Major League Baseball is an infinite game. What happened, I think, is that baseball’s finite game was solved so completely in such a way that the infinite game was lost.

When universal smarts lead to universal strategies, it can lead to a more homogenous product. Take the NBA. When every basketball team wakes up to the calculation that three points is 50 percent more than two points, you get a league-wide blitz of three-point shooting to take advantage of the discrepancy. Before the 2011–12 season, the league as a whole had never averaged more than 20 three-point-shot attempts per game. This year, no team is attempting fewer than 25 threes per game; four teams are attempting more than 40.

 

Gritsngravy

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I can understand the idea of something being so “perfect” it loses its essence but I think baseball will change somewhat after the ban on shifts, they probably need to look at pitchers more to see if they could make possible changes
 

Professor Emeritus

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Another discussion on this article:





I pointed out in that discussion that chess is another example - the more computers are used in chess, the closer it's coming to being "solved", and the more gameplay is about preemptively guessing which opening your opponent will use and then successfully memorizing as many computer lines as possible in response.


 
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