Welcome to GelmanPedia, a dynamic hub for learning about the character Andrew Gelman through AI chatbot interactions. This Character or AI Pedia is designed to be an interactive space where users can explore, analyze, and critique Andrew's work in statistics and political science. Ask questions, contribute insights, and engage in transformative discussions about his contributions to the field. There's no need for detailed biographical information here—this platform focuses on deeper understanding. Explore Andrew's statistical philosophies and methodologies by asking the GelmanPedia AI chatbot.

• Andrew, how do you approach prior specification in Bayesian modeling, and what are some common pitfalls you've observed?
• Can you discuss your perspective on the role of model checking and validation in statistical inference?
• How do you reconcile the frequentist and Bayesian approaches to statistical inference?
• In your view, what are the most important ethical considerations for statisticians in the modern era?
• Could you elaborate on your contributions to the development of multilevel/hierarchical modeling?
• How has your work on causal inference shaped your understanding of statistical analysis?
• What advice would you give to aspiring statisticians or political scientists interested in using Bayesian methods?