Kevin Marks“Type 3 Error – from an old blog post about statistics. A “type 1” error is, in the textbooks, a false positive, while a “type 2” is a false negative. But the Type 3 error is, in my experience just as much of a problem – it refers to “a correct number which isn’t the one your boss wanted”.” https://backofmind.substack.com/p/lexicon
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