Why Isn’t There a Replication Crisis in Math?

Jay Daigle:

One important thing that I think about a lot, even though I have no formal expertise, is the replication crisis. A shocking fraction of published research in many fields, including medicine and psychology, is flatly wrong—the results of the studies can’t be obtained in the same way again, and the conclusions don’t hold up to further investigation. Medical researcher John Ioannidis brought this problem to wide attention in 2005 with a paper titled Why Most Published Research Findings Are False; attempts to replicate the results of major psychology papers suggest that only about half of them hold up. A recent analysis gives a similar result for cancer research.

This is a real crisis for the whole process of science. If we can’t rely on the results of famous, large, well-established studies, it’s hard to feel secure in any of our knowledge. It’s probably the most important problem facing the entire project of science right now.

There’s a lot to say about the mathematics we use in social science research, especially statistically, and how bad math feeds the replication crisis.1 But I want to approach it from a different angle. Why doesn’t the field of mathematics have a replication crisis? And what does that tell us about other fields, that do?