Michael Mauboussin talks with Jim about his latest book, SFI, investment, using variance & complexity, luck & skill, bias, IQ vs RQ, forecasting, and more...
Michael Mauboussin, Director of Research at BlueMountain Capital Management, Author, and Adjunct Professor at Columbia University talks with Jim about how he came to be the Chairman of the Board at the Santa Fe Institute, his perspective on investing & its challenges, the Colonel Blotto game, using variance & complexity in game theory, defining luck & skill and their relative importance in several domains, outcome bias, the importance of understanding sample size, intelligence quotient (IQ) vs. rationality quotient (RQ), bad and good forecasting by experts, increasing the variance when you are behind, looking for weak games, how age impacts skill in people & organizations, deliberate practice, time management, and more.
Episode Transcript
Mentions & Recommendations
Michael’s new book, The Success Equation
Michael’s paper, Who Is On The Other Side
Is There Anything Good about Men? By Roy F. Baumeister
Success Equation Simulation: Polya Urn Model
Thinking in Bets by Annie Duke
Narrative Economics by Robert J. Shiller
Superforecasting by Philip E. Tetlock
Expert Political Judgment by Philip E. Tetlock
Full House by Stephen Jay Gould
The Sports Gene by David Epstein
Range by David Epstein
Michael’s Website
Michael J. Mauboussin is Director of Research at BlueMountain Capital Management. Prior to joining BlueMountain, he was Head of Global Financial Strategies at Credit Suisse and Chief Investment Strategist at Legg Mason Capital Management. He is also the author of three books, including More Than You Know: Finding Financial Wisdom in Unconventional Places, named in the The 100 Best Business Books of All Time by 800-CEO-Read. Michael has been an adjunct professor of finance at Columbia Business School since 1993, and received the Dean's Award for Teaching Excellence in 2009 and 2016. He is also chairman of the board of trustees of the Santa Fe Institute, a leading center for multi-disciplinary research in complex systems theory.
