[KRAKRISMOTT]

> TL;DR: Causal inference is a complex topic, not a simple tool.

The simple version using graphical models and joint probabilities isn't difficult to explain or teach. The issue is that to do anything useful with it at scale you either need MCMC or variational inference and that's an entirely different bag of worms all together. For medical datasets you rarely have "scale", instead you have very few sample cases and a large expert model (the doctor/specialist).