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> The problem is that it means something different than the intuitive every day meaning

Yes that's my point. Using words that are hard to understand or only understandable in the context of P-values won't solve the problem; the problem being that the general public won't understand the subtle differences in meaning



I'm not sure. I think much of the confusion comes from people instinctively applying their every day understanding of the word "significance" and falsely believing they understand what it means in the statistical context. Had it been called statistical confliburance or some other made up term then they wouldn't think they knew what it meant and might find out what it actually meant.




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