Data Science, Instrumental Variables, A B Testing, Causal Inference.
correlations and it is very challenging to ensure that the causal story we are attaching to these correlations are actually true. And there are several ways we could get the causal story wrong. The most common mistake is failing to account for common causes or confounders. Using the canonical