(This may sound circular): when you are interested in causal effects that are confounded in the data you see. I am not sure exactly what you are asking. The right sequence of events is you first decide what you are interested in, and then find a method to get it, not vice versa.
Ok, but then I’d like to know when you need to use causal probabilities for something like this (an honest question).
(This may sound circular): when you are interested in causal effects that are confounded in the data you see. I am not sure exactly what you are asking. The right sequence of events is you first decide what you are interested in, and then find a method to get it, not vice versa.