Everybody Lies: Big Data, New Data, and What the Internet Reveals About Who We Really Are

Everybody Lies: Big Data, New Data, and What the Internet Reveals About Who We Really Are
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April 2017 by Harper
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3.94

Via http://sethsd.com/ Seth Stephens-Davidowitz has pioneered research on the use of Google searches and other Big Data sources to get new insights into the human psyche, with most of his original research published as New York Times op-eds. Dr. Stephens-Davidowitz has used Google searches to measure racism, child abuse, son preference, self-induced abortion, pregnancy symptoms, depression, religious doubt, anxiety, therapy usage and sexual insecurity. He has also used Google searches to estimate how many men are gay; explore why we tell jokes; and (w/ Evan Soltas) learn how politicians can successfully calm an angry mob.

Dr. Stephens-Davidowitz has explored other new, digital datasets as well. He used Facebook likes to measure the key ages in child development; scraped Wikipedia to find what cities are best for producing superstars; analyzed the demographics of America's largest hate site; and studied ancestry.com data to learn what it really takes to make the NBA. He received his BA in philosophy, Phi Beta Kappa, from Stanford, and his PhD in economics from Harvard. Based on his research, he was hired as a data scientist at Google, where he worked for one-and-a-half years, under chief economist Hal Varian. Together, Dr. Stephens-Davidowitz and Dr. Varian wrote a primer on how academics can utilize Google data.

Dr. Stephens-Davidowitz has given talks around the world discussing his research. In high school, he wrote obituaries for the local newspaper, the Bergen Record, and was a juggler in theatrical shows. He now lives in New York City and is writing a book about his research for HarperCollins, scheduled for release in April 2017. He is a passionate fan of the Mets, Knicks, Jets, Stanford football, and Leonard Cohen.

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