Data Science, Causal Inference, Linear Regression, Getting Started, Ab Testing.
bias equals the difference between control and treatment groups without a treatment. If we return to our case, the bias will be equal to the difference between expected customer value for the treatment group if they haven’t received discount (counterfactual outcome) and the control group (factual