Why causal inference matters for industry

A starter essay positioning causal inference as a practical decision discipline.

Prediction is useful when the question is what is likely to happen. Causal inference is needed when the question is what will happen if we intervene.

That distinction matters in industry because many important decisions are interventions: change a price, launch a feature, send a retention offer, alter a policy, reallocate spend, or target a treatment.

Good causal work does more than produce an estimate. It clarifies the decision, states the assumptions, evaluates competing explanations, and communicates uncertainty in a way that improves action.

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