do-Calculus for Humans Pearl’s structural approach to causal inference is built around DAGs (directed acyclic graphs). In many cases, applying this framework boils down to measuring and adjusting for confounding variables. A key insight is that when working with purely observational data, controlling for all confounders can be equivalent to assigning the treatment level, as we would in an…