My point was, one can always start with some prior in a Bayesian fashion and update their beliefs as per the data.
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We start with the null hypothesis: Vaccine doesnt cause A. We find out it causes A, 0.1 % of the sample size. We compare the cost(w or w/o vaccination), whichever is found less, we make it a null hypothesis. Now, 1. this may change in subjective cases as gauged by experts. +
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2.Better alternative(s) be researched to minimize the damage.
End of conversation
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