"Baseball has--by far--the best scoring system in all of sport. It makes uninteresting contests exciting, because it a) doesn't have a concept of time and b) distributes runs in unorthodox increments. . . . Imagine a 3-0 game in the bottom of the ninth inning: The leading team is clearly in control. But if the leadoff hitter gets a bloop single, the pressure immediately reverts to the pitcher--now, if the next guy gets on base, the game has the potential to be reinvented with one swing. The fact that you can instantly score a variable number of runs (in a game in which scoring is rare) keeps baseball fascinating."
(Admittedly, Klosterman begins this sidebar by saying baseball is a "turgid game that no longer reflects society." Obviously, given the existential premise of this website, I think he's wrong.)
There are multiple levels we could explore here, but I want to initially focus on the one that jumped out at me: a direct link to Mandelbrot's concept of "trading time," a key part of his ideas around fractals in finance. Klosterman points out that in baseball, scoring often occurs in bunches: this not only perpetuates uncertainty but also distorts a "normal" sense of time.
I wonder if a worthwhile statistical analysis would be to chart the distribution of scoring in baseball? Does it occur in bunches? It might make sense given the way a run-scoring rally can build on itself, but I wonder if this might be tied to home run frequency.
Anyway, if run scoring in baseball did occur in bunches, I suppose this might be analogous to the economic phenomenon of innovations often appearing in waves or clusters.
If anyone out there knows if such a statistical analysis has been done, please let me know.
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