This post highlights one approach to generating causal inferences with observational data. We’ll first walk through some of the basics of causal inference and propensity scores, followed by a practical example that brings these concepts together. At the end of this post, you should have a solid understanding of how propensity scores can be used in the real world to guide decision-making