[marmaduke]

> DAG-based causal inference isn’t able to handle feedback loops (acyclic) or nonlinearity (linear)

I don't think this should be true, and if it is, then "causal inference" should be qualified to refer only to a specific modeling framework. As a counter example, it's possible to formulate a nonlinear differential equation model of Covid spread and infer the parameters to construct a plausible, causal, generative model.