This is an interesting point in itself. Why health and medicine?

Maybe causal inference is straight up more difficult in health and medicine: effects are smaller and more ambiguous than in hard sciences, and have many hard-to-manipulate causes that blur the signal.

My self-serving explanation is that health/ medicine/ biology select for people who enjoy (or better tolerate) rote memorization (Levels 0-1 in my hierarchy) rather than "how it works"-type understanding (Levels 2-3). This gets the group of intelligent people with worse ability to know the broader meaning of what they're doing, a skill that tends to curtail questionable statistical practices.

Yes, I know it sounds insulting, but what really turned me off from taking more biology in high school and college, and from med school, is that it's so much more memorization-oriented rather than generative-model oriented. This suspicion is confirmed when I hear about e.g. ecologists just now getting around to using the method of adjacency matrix eigenvectors (i.e., Google's PageRank) to identify key organisms in ecosystems.