It’s the same question because it screens off the data-generating process. A researcher who is biased or p-hacking or outcome switch is like a world which generates imbalanced/confounded experimental vs ‘control’ groups, in a Bayesian needs to model the data-generating process like the stopping rule to learn correctly from, while pre-registration and explicit randomization make the results independent of those and a simple generative model is correct.
(So this is why you can get a decision-theoretic justification for Bayesians doing those even if they are sure they are modeling correctly all confounding etc: because it is a ‘nothing up my sleeve’-esque design which allows sharing information with other agents who have nonshared priors—by committing to a randomization or pre-registration, they can simply take your data at face-value and do an update, while if they had to model you as a non-randomized generating process generating arbitrarily biased data in unknown ways, the data would be uninformative and lose almost all of its possible value.)
It’s the same question because it screens off the data-generating process. A researcher who is biased or p-hacking or outcome switch is like a world which generates imbalanced/confounded experimental vs ‘control’ groups, in a Bayesian needs to model the data-generating process like the stopping rule to learn correctly from, while pre-registration and explicit randomization make the results independent of those and a simple generative model is correct.
(So this is why you can get a decision-theoretic justification for Bayesians doing those even if they are sure they are modeling correctly all confounding etc: because it is a ‘nothing up my sleeve’-esque design which allows sharing information with other agents who have nonshared priors—by committing to a randomization or pre-registration, they can simply take your data at face-value and do an update, while if they had to model you as a non-randomized generating process generating arbitrarily biased data in unknown ways, the data would be uninformative and lose almost all of its possible value.)