Sam Witty

In this engaging discussion, Sam Witty, a researcher from the Cairo project, dives into the fascinating world of causal inference. He explains the differences between do-calculus and Cairo’s parametric Bayesian methods, and how regression discontinuity designs enable causal estimation. Sam also explores how Cairo automates the construction of interventions, providing users easy access to complex statistical tools. The talk highlights the significance of efficient estimators, making causal queries more accessible without needing extensive expertise.