Machine Learning, Causal Inference, Data Science, Time Series Analysis, Statistics.
random subgroup is exposed to a “treatment” or “intervention” while the remainder acts as the control group. This ensures that any observed difference between the two groups can be due only to the treatment and no other (unobserved) variable. A/B tests are difficult and expensive to implement,