An infographic (below) from Geckoboard explores common data mistakes that should be avoided. Specifically, it looks at 15 statistical fallacies that often lead to incorrect data analysis.
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The 'hot hand' and the gambler's fallacy: Why our brains struggle to believe in randomnessThe short answer: it's complicated. Unlike the gambler's fallacy, which can be ruled out by clear statistical principles, the hot hand phenomenon resists definitive dismissal. There's no way to ...
The first of these is what I would call the Statistical Fallacy, and it occurs when we forget that tennis is first and foremost a game of specific match-ups, and therefore each match comes with an ...
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