> Therefore likelihood functions can never be p-hacked by any possible clever setup without you outright lying, because you can't have any possible procedure th

> Therefore likelihood functions can never be p-hacked by any possible clever setup without you outright lying, because you can't have any possible procedure that a Bayesian knows in advance will make them update in a predictable net direction. (emphasis from the original) This is overselling it a bit, or perhaps using an unusually narrow definition of p-hacking. As used colloquially, p-hacking includes things like fitting models to various subsets of the available predictors to find a combination that makes a particular coefficient you're interested in have a large estimated effect size. Bayesian methods and likelihood functions are about as vulnerable to this as frequentist methods are.