A partial if not impartial defence of P-values

What is it about?

P-values may be over and misused but if there is a replication crisis in science, abandoning them would not solve it. As one of many ways of Looking at data they have their uses.

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Why is it important?

I show that false and pointless distinctions are made between sugnificance and hypothesis tests. P-values aren't great but any system of inference faces problems as soon as claims of unique relevance are made for it.

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