The Ladd of Causation in Machine Learning

All the reasoning that machine learning does is correlation based. But without an explicit treatment of causality, there's a fear that r l maybe hasn't got up to rung one and a half. This mantre amongst data scientists that data will tell you everything is actually wrong,. this is a message that pearl wants to get across. Goodhart's law is a way of illustrating that just observing data in itself isn't enough for certain questions.