

S03E09 - Statistical rethinking - with Richard McElreath
Apr 21, 2024
Richard McElreath, an anthropologist and author of 'Statistical Rethinking,' discusses the importance of integrating theory with data analysis to avoid self-deception in scientific research. He emphasizes transparency, collaboration, and ethical conduct in academia. The podcast explores the significance of generative theory in data analysis, the evolution of scientific knowledge, and the intersection of AI, art, and ethics. Richard also shares insights on utilizing Twitter for collaboration and maintaining a professional web presence.
AI Snips
Chapters
Transcript
Episode notes
Richard as Academic Debugger
- Richard McElreath acts as a debugger helping academics fix statistical and data analysis problems.
- He often helps develop new solutions for novel challenges in research collaborations.
Advocate Radical Transparency
- Be transparent about biases and limitations instead of pretending they don't exist.
- Use simulations to assess the impact of biases on your results and communicate them openly.
Academic Incentive Conflicts
- Academia has conflicts between collective goals and individual career incentives that distort behavior.
- Morally correct academic behavior means sometimes prioritizing the collective good over personal career gains.