Inference using traditional null hypothesis significance testing (NHST) relies on interpretation of p values. However, it has been argued that a Bayesian approach to hypothesis testing is preferable, as it overcomes some of the limitations of NHST. Critics of the Bayesian approach have argued that reliance on subjective probabilities (viz. priors) renders the approach as problematic (or even more problematic) than NHST. How would i discuss this debate with respect to whether i think subjective beliefs should inform statistical analysis. should i believe that the problems posed by priors can be addressed by proponents of the Bayesian framework? Why or why not?