I have skimmed the first 2 chapters and I still don't understand how causal inference is a useful tool or how you apply it to anything moderately complex.
Obviously being able to identify causality is useful, but I don't understand how you can apply causal inference and get a meaningful result.
To apply any of the rules regarding DAG structure you first have to have a DAG of events, which seems like it would be difficult to accurately build up.
Obviously being able to identify causality is useful, but I don't understand how you can apply causal inference and get a meaningful result.
To apply any of the rules regarding DAG structure you first have to have a DAG of events, which seems like it would be difficult to accurately build up.