[stdbrouw]

The problem is that p-values are begging to be misunderstood, and in fact you cannot use them as a decisionmaking procedure without "misinterpreting" them – after all, you're deciding whether to accept the hypothesis P(HA|D) based on 1-P(D|H0) on the grounds that, while they're not the same, they're proportional. (In that sense the p-value is like the poor man's likelihood ratio.) There's nothing wrong with p-values as a concept, but there's everything wrong with p-values in hypothesis testing. The misunderstanding is baked in.

[im3w1l]

You can update your posterior based on the p-values yourself though. "Well those eggheads may have disproved X, but X is just common sense, so I'm gonna keep believing it anyway. U-until I see more studies confirming the finding I mean."