Statistical Intuition in the Age of AI | Kristin Sainani & Regina Nuzzo | #49

How should we think about evidence when algorithms are everywhere? In this episode of BeyondPhrenology, Madhur Mangalam talks with Dr. Kristin Sainani and Dr. Regina Nuzzo about what "statistical intuition" means alongside modern AI tools. The conversation covers how AI is used in research and classrooms, where it helps or hinders learning, and what skills students and professionals may need as jobs evolve. We discuss practical trade-offs—speed versus understanding, automation versus transparency—and consider how to communicate clearly to non-experts. The goal isn't to celebrate or dismiss AI, but to map the questions that matter for education, work, and scientific practice. Also on Spotify: https://open.spotify.com/episode/71Qs... TIMELINE 00:00:00 — Introductions — Kristin Sainani & Regina Nuzzo 00:04:53 — Is the current student-selection process fit for the AI era? 00:10:45 — What AI exposes in education: Grit, cheating, and meaningful learning 00:22:33 — How AI could improve scientific peer review 00:25:15 — Rethinking grant funding with AI 00:29:20 — Jobs in the AI economy: Reality vs. perception 00:35:00 — The future of scientific publishing 00:43:35 — Skills the job market will reward in an AI world 00:47:20 — Will AI create new jobs—or just reshape old ones? 00:49:30 — The coming era of hyper-expertise 00:51:40 — The future of the academic enterprise in the era of AI 00:55:40 — The first graduating class to grow up with LLMs: What will define them? 01:57:22 — LLMs can make you hear birds: Regina's use of ChatGPT for cochlear Kristin Sainani: https://profiles.stanford.edu/kristin... Regina Nuzzo: https://www.reginanuzzo.com/ Kristin and Regina's podcast: https://www.normalcurves.com/