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The other common example of the same phenomena is a test for a deadly genetic defect with a 1% false positive rate. If the incidence of the defect is .01% and you test positive, its actually more likely that you don't have the disease. (although this can be solved with bayesianism over frequentism).


This is a pernicious misunderstanding of "frequentism", often found among people who studied statistics mainly by reading comics.

http://web.archive.org/web/20130117080920/http://andrewgelma...


That's incredibly unnecessary. My understanding of statistics is not derived from comics (and the first time I heard that example was in a statistics course), and the link you post doesn't actually address what I stated. It addresses an actual mistake in the comic, which is a mistake that I didn't make.

Here's Andrew, the author of that blog post:

> Yes, I think it makes a lot of sense to criticize particular frequentist or Bayesian methods rather than to criticize freq or Bayes statisticians.

Which is exactly what I did. There are times when frequentist methods are effective. I just wouldn't use them to tell me that I have a disease.




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