I think it would be very valuable for thinking about bias etc. in epi studies to learn about d-separation, good work on being proactive about it!
Thank you, I hope I indeed follow through on it! My interest in epi stems from an interest in stats, which was sparked from reading about Bayesian statistics through LW and being utterly overwhelmed from it!
Some reader is bound to declare that a better title for this post would be "37 Ways That You Can Use Words Unwisely", or "37 Ways That Suboptimal Use Of Categories Can Have Negative Side Effects On Your Cognition".
But one of the primary lessons of this gigantic list is that saying "There's no way my choice of X can be 'wrong'" is nearly always an error in practice, whatever the theory. You can always be wrong. Even when it's theoretically impossible to be wrong, you can still be wrong. There is never a Get-Out-Of-Jail-Free card for anything you do. That's life.
Besides, I can define the word "wrong" to mean anything I like - it's not like a word can be wrong.
Personally, I think it quite justified to use the word "wrong" when:
Everything you do in the mind has an effect, and your brain races ahead unconsciously without your supervision.
Saying "Words are arbitrary; I can define a word any way I like" makes around as much sense as driving a car over thin ice with the accelerator floored and saying, "Looking at this steering wheel, I can't see why one radial angle is special - so I can turn the steering wheel any way I like."
If you're trying to go anywhere, or even just trying to survive, you had better start paying attention to the three or six dozen optimality criteria that control how you use words, definitions, categories, classes, boundaries, labels, and concepts.