This means that we can’t know the probability that a hypothesis is true just from the p-value of one study. We need to know the plausibility of the hypothesis, and we need to know what all the other relevant studies showed. We call this a Bayesian approach—you take the new information, you add it to the prior existing information, and you come up with a new probability that the idea is true.
