Science Before Statistics - Causal Inference

Dive into a comprehensive 3-hour workshop on causal inference presented by Richard McElreath at the 2021 Leipzig Spring School in Methods for the Study of Culture and the Mind. Explore key concepts such as casual salad, causal design, the table two fallacy, bad controls, and graph analysis. Gain insights into full luxury Bayesian inference and its applications in causal reasoning. Follow along with the provided outline, slides, and code available on GitHub to enhance your understanding of scientific methods before statistical analysis. Perfect for researchers, data scientists, and anyone interested in improving their approach to causal inference in various fields of study.

Introduction
Casual Salad
Causal Design
Table Two Fallacy
Bad Controls
Graph Analysis
Full Luxury Bayesian Inference
Summary and Conclusion