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The new book by philosopher Deborah Mayo is relevant to data science fortopical reasons, as she takes various controversial positions regardinghypothesis testing and statistical practice, and also as an entry point tothinking about the philosophy of statistics. The present article is a slightlyexpanded version of a series of informal reviews and comments on Mayo's book.We hope this discussion will introduce people to Mayo's ideas along with otherperspectives on the topics she addresses.

Many perspectives on Deborah Mayo's "Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars"