Recommendation: high-level comparison of formal causal reasoning approaches I am looking for a good article, blog post, or text that situates the key 'high-level' differences and agreements between the kinds of counterfactual formal causal reasoning championed by Pearl, Hernán & Robins, and Glymour (i.e. 'structural causal models'), with, say, Imbens' and Rubin's work with potential outcomes.
I am trying to situate some of the formal causal reasoning stuff in the econometrics world with respect to the counterfactual formal causal inference I am more familiar with (Pearl, etc.) without having to work my way through everything Imbens, Rubin and Angrist ever wrote. :)
Has there been a good compare & contrast written?

Take a look at Section 4 for a comparison of PO and DAG/SCM approaches:

Imbens, Guido W. 2020. "Potential Outcome and Directed Acyclic Graph
Approaches to Causality: Relevance for Empirical Practice in
Economics." Journal of Economic Literature, 58 (4): 1129-79
https://doi.org/10.1257/jel.20191597 (ungated draft)

Pearl's response can be found at Pearl, J. On Imbens’s Comparison of Two Approaches to Empirical Economics. (2020). Academic blog. Causal Analysis in Theory and Practice. Posted January 29, 2020.
