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Unlikelihood
In kind of lingo o testing so that is technically probability of the data given the hypothesis. That is, we still don't know whether it's true or not. But if it was true, how likely is it that we would gettose those those results, those symptoms, those test test data? You just divide that by how common the evidence is across the board. So its just the prior times the likelihood, divided by the commonness.