Causality, Causal Inference, Machine Learning, Experiment, Data Science.
Confounding refers to the situation in which a third unaccounted variable is influencing both our dependent and independent variable, causing a spurious correlation. If there is something other than the intervention that differs between the treated and untreated groups, then we cannot conclusively