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I agree that more advanced statistical methods would be useful. A surprising number of scientists have poor knowledge about statistics whilst being dependent on it to prove their research.


If anyone is depending on statistics to "prove" anything, they're in trouble.


How do you prove that a medicine is safe and effective if not through large scale studies, which you then use statistics to show whether your hypotesus was correct or not?


With statistics I can definitely prove that something holds with a confidence, of, say 0,95, under the model assumptions [...].


If you mistake the p-value on a frequentist hypothesis test for a Bayesian posterior probability, you've already messed up.


Touche, 95% of people who prove things on the internet use statistics.




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