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The study behind this is unusually practical. Dunigan Folk, Mirka Henninger and Elizabeth Dunn at the University of British Columbia took two waves of the American Time Use Survey, more than 15,000 people accounting for how they spent a single day, and used machine learning to find what separated a better-than-typical day from an ordinary one. The thresholds are the useful part. Socializing helped, and then flattened out after about two hours. Work didn't hurt a day until it passed six. Passive
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