I dont think this will solve the problem. The problem results from the deep barriers to proper study construction, especially in biomedical science, where enrol

I dont think this will solve the problem. The problem results from the deep barriers to proper study construction, especially in biomedical science, where enrolling patients in a controlled study is often extremely challenging. This means samples are acquired as available and not prospectively. Does this mean we cant do "science" on such a dataset? Maybe we cant do the "usual" science, of case vs. control => p.value. But a lot of domains of science operate on uncontrolled data sets and make do with post-hoc interpretation (geology, I'm looking at you). We need different mathematical tools and epistemologies to confront these datatsets; we cant just hope that everyone will suddenly start doing it "right".