“Brian Wansink’s research has a lot more than 99 problems, but data exploration ain’t one” #slowclap
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You don't touch on the challenges of multiple testing which would likely make many of Wansink's discoveries completely disappear. And it seems reasonable to have a hypothesis before planning an experiment. Otherwise how many samples are needed?
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