// Towards Data Science · 22 April 2026

Correlation vs. Causation: Measuring True Impact with Propensity Score Matching

Learn how Propensity Score Matching uncovers true causality in observational data. By finding "statistical twins," we eliminate selection bias to reveal the real impact of your interventions and business decisions. The post Correlation vs. Causation: Measuring True Impact with Propensity Score Match...

Towards Data Science

@towards-data-science · Gustavo Santos

towardsdatascience.com

Towards Data Science@towards-data-science