
When Outliers Lie: How to See Through the Noise in Causal Inference
The Perils of Outliers in Causal Inference Imagine trying to understand the effect of a new drug on blood pressure. You collect data, run your analysis, and conclude the drug is highly effective. But what if a few patients, for reasons unknown, experienced extreme, unexpected changes in blood pressure? These outliers could skew your results,…