The Importance of Causality in Data Analysis

This chapter explores the concept of causality and its importance in data analysis. The speakers discuss techniques such as propensity score matching and AD tests to identify comparables and control for confounding factors. They highlight the challenges of conducting controlled experiments and the need to understand the limitations of available data.