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Publication Exclusive: Breaking down the sham of statistical significance
What does P < .05 actually mean? I am asking you, the reader, right now. This is not a rhetorical question. Take just a moment, and really try to formulate an answer.If you said: “P < .05 means that there is less than a 5% chance that a study’s results are due to randomness alone,” then you are wrong. And not just wrong in a semantic, pedantic or quibbling sort of way. You are spectacularly, blindingly and egregiously wrong; wrong in a way that reflects a complete misunderstanding of the (Read more...)