Kenny Smith

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The size of an effect (representing, for example, how much taller Scottish men are than Scottish women; in our case the effect size is 10 cm) is a different thing from the probability of seeing these results by chance if your hypothesis isn’t true. It’s perfectly possible, for example, that a drug has a very minor impact on an illness, but one that you’re quite sure isn’t a false positive – a small yet statistically significant effect. Back when Fisher was writing, people understood the word ‘significant’ somewhat differently: it implied that the result ‘signified’ that something was happening ...more
Science Fictions: How Fraud, Bias, Negligence, and Hype Undermine the Search for Truth
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