Data Science, Statistics, Analytics, Experiment, Causality.
randomizers”. In reality, causal effect estimates using IV can have extremely large intervals. If X is weakly predictive of Y and X → Y is small, then we are dividing by a very small number that has a lot of noise and it can lead to bias. Conceptually, a weak IV is like if you ran an A/B test but a