https://www.nature.com/articles/s41562-020-0912-z https://www.nature.com/articles/s41562-020-0912-z Simonsohn and Simmons have a couple of great other papers a

https://www.nature.com/articles/s41562-020-0912-z https://www.nature.com/articles/s41562-020-0912-z Simonsohn and Simmons have a couple of great other papers as well. Also: Sure, many of the problems in sciences are obvious, just as many of the problems in other parts of society are. That doesn't mean that it's rational for most people to care about them. Plus there are some hard problems very adjacent to easy problems, and that's an invitation to throw them all in a bucket and not care. Examples: Low N is easy to recognize, but near impossible to change when studying rare diseases. Non-linear phenomena in linear statistical tests are easy to spot, but incompleteness of models (key valuables omitted) or specification errors in structural equation models are hard to spot (need lots of domain expertise). [edit]: If you want to do a spec curve analysis, try this easy package https://cran.r-project.org/web//packages/specr/index.html https://cran.r-project.org/web//packages/specr/index.html