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      "commentText": "It's noteworthy that the credibility of a p-value will depend on the previous evidence of our hypothesis. Recall that the p-value is the probability of our data (D) given that our null hypothesis (H) is true [p- value = P (D | H)]. However, we are interested in knowing the probability of our hypothesis given some data [P (H | D)]. By Bayes, we know that this will be higher, the higher the previous probability of our hypothesis [P (H)]. Many findings were not reproduced due to ignorance of this fact. To understand this, see this app: http://shiny-eio.upc.edu/bne/efectos/",
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