It's not that difficult. It is "difficult" in the sense that many of the experiments to prove causation are cost prohibitive. But coming up with the experimenta

It's not that difficult. It is "difficult" in the sense that many of the experiments to prove causation are cost prohibitive. But coming up with the experimental parameters needed to verify causation are trivial. In fact, ALL clinical trials for all medicine are designed to verify causation. It's that straightforward. It just happens to cost a lot of money. Think about that. Why are clinical trials much more expensive than say the experiment correlating grip strength and life span? What is the differentiating factor? This is the key. If you don't understand why/how clinical trials verify causation and what exactly is the differentiator between experiments that only correlate things then you don't truly understand the dichotomy between correlation and causation. Most people don't understand it. Even the programming crowd. I even met data scientists who don't know about it.