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Two articles on understanding statistical error


Today I want to share two articles today which call on the public to try to understand scientific error at a deeper level than we do now.

First, an academic journal called Basic and Applied Social Psychology (BASP) has decided to ban articles using p-values. This was written up in Nature news (hat tip Nikki Leger) with an excellent discussion of the good and bad things that might result. On the one hand, p-values are thoroughly gamed and too easy to achieve with repetitive testing, resulting in a corpus that is skewed towards such testing situations. On the other hand, if you get rid of p-values you have to replace them with something to give you an idea of whether a statistical result is interesting. Of course there are plenty others out there, but they too may quickly become gamed.

Second, The Big Story has an in-depth article

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