Great article. I would say this is inaccurate though: >"What it really means is that for each of the countless false hypo­theses that are contemplated by resea

Great article. I would say this is inaccurate though: >"What it really means is that for each of the countless false hypo­theses that are contemplated by researchers, we accept a 5 percent chance that it will be falsely counted as true—a decision with a considerably more deleterious effect on the proportion of correct studies." The hypotheses that the statistical "hypothesis testing" framework is usually applied to often amount to "two groups of cells/animals/people are samples from exactly the same population". Then there will be assumptions about the distribution of this population, etc. As has been noted by many (see eg Meehl 1967), such a hypothesis is pretty much always false and nothing but a strawman. http://www.psych.umn.edu/people/meehlp/WebNEW/PUBLICATIONS/074TheoryTestingParadox.pdf http://www.psych.umn.edu/people/meehlp/WebNEW/PUBLICATIONS/0...