A recent study by Stanford University offers compelling insight into a longstanding argument about human sexuality. Published today, the study analyzed more than 35,000 facial images and built an algorithm that, with shocking accuracy, predicted a person’s sexual orientation. With a single photo, the algorithm correctly guessed whether men were straight or gay with 81 percent accuracy. For women, the results were a bit lower, but still impressive at 74 percent. When fed five images per person, the accuracy increased even more — 91 percent for men and 83 percent for women. Researchers Michal Kosinski and Yilun Wang first pulled thousands…

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