The problem with Causation generally is that we choose arbitrary stopping points for "root causes," and fall into the Fallacy of the Single Cause.

Pearl's Bayesian Statistics and Do-Calculus gives us a way to compute likelihoods around different observed events to give us some more insight into these mechanisms but from my reading so far, never give concrete solutions to when we should determine an action is not relevant.