Issue #136 - Prediction Is Not Causation: A Practical Introduction to Causal Inference

Most of the models we build as ML practitioners answer one question: What is likely to happen? A churn model predicts who will leave. A demand model predicts next week’s sales. A risk model predicts who will default. But there is a second question that classical ML is surprisingly bad at answering: What will happen if I do something? Will this drug lower blood pressure? Will this retention…