Science’s inference problem: When data doesn’t mean what we think it does
Science’s inference problem: When data doesn’t mean what we think it does
- February 16, 2018
- Brian Skyrms, LPS, in The New York Times, Feb. 16, 2018
In their book TEN GREAT IDEAS ABOUT CHANCE … a historical and philosophical tour of major insights in the development of probability theory, the mathematician Persi Diaconis and the [UCI] philosopher Brian Skyrms emphasize another possible cause of the so-called replication crisis: the tendency, even among “working scientists,” to equate probability with frequency.
For the full story, please visit https://www.nytimes.com/2018/02/16/books/review/science-inference-data.html.
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