Data Science, Causal Inference, Linear Regression, Getting Started, Ab Testing.
makes causal inference tricky. That’s why we need to introduce another concept — potential outcomes. The outcome that happened is usually called factual, and the one that didn’t is counterfactual. We will use the following notation for it. The main goal of causal analysis is to measure the