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jjsav t1_ix4zpio wrote

A problem rarely addressed in science is that if you run a lot of statistical tests on a lot of variables, then by chance some will come out as significant. That's the point. If you use 0.05 as the cut off, then run 20 tests just by chance one will likely come out as significant.

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Parafault t1_ix5v3k7 wrote

I don’t trust “pure data” statistical studies unless they can back it up with a convincing and well-established mechanism. Data alone can tell you whatever you want it to, if you look at it from the right angle.

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cygnoids t1_ix57yc6 wrote

But this is why you use posthoc tests, which account for the number of tests and variables

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