[lern_too_spel]

This approach only works if all confounders are known, which is never the case in practice, so the model you fit is correlational and not suitable for causal inference. Propensity matching suffers from the same issue if the propensities are estimated from the same features. If not all confounders are known, you must be able to find instrumental variables to build a causal model.