The Fallacy of Placing Confidence in Confidence Intervals
I just read through this, and it sounds like they're trying to squish a frequentist interpretation on a Bayesian tool. They keep saying how the confidence intervals don't correspond with reality, but confidence intervals are supposed to be measuring degrees of belief. Am I missing something here?
I briefly skimmed the paper and don't see how you are getting this impression. Confidence intervals are—if we force the dichotomy—considered a frequentist rather than Bayesian tool. They point out that others are trying to squish a Bayesian interpretation on a frequentist tool by treating confidence intervals as though they are credible intervals, and they state this quite explicitly (p.17–18, emphasis mine):
...Finally, we believe that in science, the meaning of our inferences are important. Bayesian credible intervals support an interpretation of probabili
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