Navigating Randomness in Poker

The best chess and Go players in the world aren’t human beings any more; they’re artificially-intelligent computer programs. But the best poker players are still humans. Poker is a laboratory for understanding how rationality works in real-world situations: it features stochastic events, incomplete information, Bayesian updating, game theory, reading other people, a battle between emotions and reason, and real-world stakes. Maria Konnikova started in psychology, turned to writing, and then took up professional-level poker, and has learned a lot along the way about the challenges of being rational. We talk about what games like poker can teach us about thinking and human psychology.

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Maria Konnikova received her Ph.D. in psychology from Columbia University. She is currently a contributing writer for The New Yorker. She is the author of two bestselling books, The Confidence Game and Mastermind: How to Think Like Sherlock Holmes. Among her awards are the 2019 Excellence in Science Journalism Award from the Society of Personality and Social Psychology. She is a successful tournament poker player and Ambassador for PokerStars. She is the host of The Grift podcast. Her new book is The Biggest Bluff: How I Learned to Pay Attention, Master Myself, and Win.

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