Daniel H Pink’s engaging book reveals the best times of day to make optimum decisions
In 2011, two Cornell researchers, Michael Macy and Scott Golder, began an unusual project. They gathered approximately 500m tweets that had been posted by more than 2 million users in 84 countries over the previous two years. Then they subjected these tweets to careful analysis.
The sociologists’ aim was straightforward. The pair wanted to measure how people’s feelings varied from morning until night and, by using an analysis program called Linguistic Inquiry and Word Count (LIWC), they attempted to measure the emotional states revealed by individuals in the electronic texts they sent. The patterns that were uncovered were striking.
There are larks who do particularly well in the morning and owls who perform better later in the day
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