>> Another way of viewing that might be; we can't prove stuff is safe/effective for lots of people to use, when we test it on lots of people? Hmmm..
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>. And I'm no statistician, but I think this bit.. "Be cautious in using p-values to support or disprove hypotheses, especially when a large number of statistical tests to provide the p-values have been done" ..might just mean 'cut the statistical bull***t out', in lay speak.
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