Big Data and Sport: What Can We Predict?
About this episode:
Former Google data scientist and bestselling author Seth Stephens-Davidowitz turns his analytic skills to the NBA.
Shermer and Stephens-Davidowitz discuss: why some countries produce so many more NBA players than others • the greatest NBA players adjusted for height • why tall NBA players are worse athletes than short NBA players • How much do NBA coaches matter and what do they do? • In a population of 8 billion today compared to centuries past, where are all the Mozarts, Beethovens, Da Vincis, Newtons, Darwins, etc.?
Seth Stephens-Davidowitz is a contributing op-ed writer for the New York Times, a lecturer at The Wharton School, and a former Google data scientist. He received a BA from Stanford and a PhD from Harvard. He is the author of Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are and Don’t Trust Your Gut: Using Data to Get What You Really Want in Life.
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Transcript
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