That's an interesting point of view – that problems with p-values, bias in researchers, and problems with multiple groups investigating the same questions cause problems with false positives is something that ONLY occurs within biomedical research.
It happens whenever you analyze large, complex data sets in any field, from physics to economics to biology.
Evolutionary research, I suppose, never uses p-values.
Statistics is a basic feature of phylogenetics and evolutionary research.
http://statweb.stanford.edu/~susan/papers/chapihp04.pdf
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