  The new book by philosopher Deborah Mayo is relevant to data science for
topical reasons, as she takes various controversial positions regarding
hypothesis testing and statistical practice, and also as an entry point to
thinking about the philosophy of statistics. The present article is a slightly
expanded 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 other
perspectives on the topics she addresses.
