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Hola,
People talk a lot about the value of data, but they do not talk enough about the right data.
There’s a gulf between what is easy to measure, and what is important to measure.
Take an iconic example from sports. NBA player Shane Battier was the subject of a 2009 magazine profile by the great nonfiction writer Michael Lewis. The headline was “The No-Stats All-Star,” which is misleading since it’s not that Battier was a “no-stats” player, it's that one-dimensional/superficial stats did not capture what he did.
Battier did not rank for scoring, rebounds, assists. What made Battier a tremendous player were harder-but-not-impossible-to-measure contributions like shutting down opposing offenses and raising teammates’ game.
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