> a flawed experimental design where you repeat the experiment until you get the results you want to see.But the Bayesian point is that, if you use Bayesian statistics, this doesn't work. Except by outright lying about their experimental protocol or the data that was actually collected (for example, only reporting the successful trial at the end and not all the failed ones the preceded it), an experimenter cannot "fool" you into accepting a hypothesis not justified by the data. They can point to the one successful trial all they want, and make up stories about how the previous failed trials were somehow different, and the Bayesian simply does not care. The Bayesian just looks at the entire corpus of data and finds that it doesn't support the hypothesis, and that's it.