Andrew Gelman

Andrew Gelman, Higgins Professor of Statistics and Political Science at Columbia, is a leading critic of sloppy statistical practice. He discusses why flawed studies persist, the limits of p-values, the need for better measurement and priors, how replication and criticism should work in science, and why Bayesian approaches and transparency can improve reliability.

Join Andrew Gelman, a statistics and political science professor at Columbia, Jennifer Hill from NYU specializing in causal questions, and Aki Vehtari, an expert in computational modeling from Aalto University, as they dive into the enchanting world of regression analysis. They share insights on their writing journey, offer ten tips to enhance regression modeling, tackle the challenges of statistical significance, and reveal the power of storytelling in data education. Plus, there's a whimsical discussion about exploring Mars!

Hugo Bowne-Anderson chats with Andrew Gelman, a Columbia University professor specializing in statistics and political science. They delve into the necessity of high-quality data and the vital role of causal inference in decision-making. Andrew emphasizes the importance of simulations to avoid misleading conclusions, while also discussing the significance of a coder’s mindset in statistical analysis. The conversation wraps up with insights on voting's impact and the challenges of generalizing from sample data in polling, shedding light on the complexities of statistical interpretation.

Andrew Gelman, an acclaimed statistician and author, discusses his new book, Active Statistics. He explores the significance of engaging teaching methods that emphasize storytelling and active participation in statistics education. Gelman critiques traditional grading systems in the U.S. and France, highlighting how cultural perspectives shape learning experiences. The conversation also delves into challenges in teaching causal analysis and the importance of innovative strategies in making Bayesian statistics accessible to all.

Psychologist tests field of psychology, scientists bet on success-rate, paradoxes of human nature explored. Replication crisis discussed with guest voices, focusing on reproducibility and scientific claims. Challenges of replication studies, questioning research standards and reliability. Impact of multiple comparisons in studies, ethical concerns highlighted. Exploring researcher degrees of freedom and philosophical debates in scientific research.