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> Formulate a vague hypothesis H1 so broad that it is not extremely unlikely (thus has non-negligible prior, P(H1) > 0), then in the updating step sneakily introduce a much more specific hypothesis H1’ that is far less likely a priori, but that yields a high probability for the evidence P(E|H1’).

H0 is "the lottery is fair" (null hypothesis). H1 is "somebody rigged the lottery". It's not outrageously unlikely, it's happened many times before and it's something people can easily understand, and it's not specific about the details. So maybe someone would say "Without knowing more, I think there's a 1% chance that happened". H1’ is "The lottery is rigged by a cult that worships the multiples of {9}" - This is the sneaky step. If it weren't such an obviously outrageous example, you might not notice that this specific hypothesis is very unlikely. However, H1’ perfectly predicts the evidence that we did observe! So basically, if you plug in the numbers, without adjusting for the fact that H1’ does not have a 1% chance of being true, you turn "I think there's a 1% chance someone rigged the lottery" into "The lottery was almost certainly rigged - 99.9997% chance!"



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