Why big data didn’t end causal inference

Why big data didn’t end causal inference

Ten years ago there were rumours of the death of causal inference. Big data was supposed to enable us to rely on purely correlational data to predict and control the world. In this talk, I argue that the rumours were strongly exaggerated. Causal inference is becoming increasingly relevant thanks to improvements in inference methods and–ironically–the availability of data. Far from becoming marginalised, causal inference is today more relevant than it’s ever been.

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