I do think it's important to note that the DAG isn't "bad." It might be useful to study the effect of rainfall on political outcomes. In that case, we could model at least some of these outcomes in reduced form. DAGs help us learn (even when we can't account for all of the factors with data).
Exactly, we're always "wanting one weird trick" for causality but I think that's usually (RCTs actually are one weird trick) going to be at odds with the reality that you need to understand the system you're studying in a lot of detail to do good inference
I've also got these concerns with instruments like draft numbers for Vietnam (that try to say the whole effect is via education). Getting selected to go to Vietnam is a pretty big deal and probably has a lot of effects on people
Comments