![]() ![]() Meanwhile, the data that Stephens-Davidowitz sifts through reveal a strongly racially motivated vote on the part of whites, speaking to “a nasty, scary and widespread rage that was waiting for a candidate to give voice to it,” even though those same people would profess publicly to being beyond issues of race and indeed “postracial,” in that quaint term of yore. Pollsters predicted a heavy turnout of African-American voters in favor of Hillary Clinton, but those voters didn’t show up. ![]() ![]() For instance, he writes, so-called undecided voters usually aren’t undecided at all if researching political issues using phrases such as “Trump Clinton taxes,” one’s vote will almost always go to the candidate named first. ![]() Trained as an economist and a philosopher, Stephens-Davidowitz, a former data scientist at Google, ventures into sociology and psychology with his look at the corpus of search terms run through that site, “a bizarre dataset” that often yields uncomfortable results, revealing hidden reservoirs of racism, sexual insecurity, hypocrisy, and outright dishonesty. If your pal swears to God that he’ll repay a loan, write it off: a tour of the many things that big data can tell us about ourselves. ![]()
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