> But the reason for using p values rather than Bayesian inference is that it gets you out of the tricky problem of coming up with a prior. It technically does

> But the reason for using p values rather than Bayesian inference is that it gets you out of the tricky problem of coming up with a prior. It technically doesn't even do this. Using a frequentist approach is equivalent to a Bayesian approach with an uninformative prior, which is itself an assumption being baked into the analysis, only one that is almost unquestionably incorrect. Its essentially saying you have literally no idea how a data is being generated, which is certainly not true.