102 | Maria Konnikova on Poker, Psychology, and Reason

102 | Maria Konnikova on Poker, Psychology, and Reason

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.


Episoder(416)

187 | Andrew Leigh on the Politics of Looming Disasters

187 | Andrew Leigh on the Politics of Looming Disasters

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7 Mar 20221h 20min

186 | Sherry Turkle on How Technology Affects Our Humanity

186 | Sherry Turkle on How Technology Affects Our Humanity

Advances in technology have gradually been extending the human self beyond its biological extent, as we augment who we are with a variety of interconnected devices. There are obvious benefits to this ...

28 Feb 20221h 11min

185 | Arvid Ågren on the Gene's-Eye View of Evolution

185 | Arvid Ågren on the Gene's-Eye View of Evolution

One of the brilliant achievements of Darwin's theory of natural selection was to help explain apparently "purposeful" or "designed" aspects of biology in a purely mechanistic theory of unguided evolut...

21 Feb 20221h 25min

184 | Gary Marcus on Artificial Intelligence and Common Sense

184 | Gary Marcus on Artificial Intelligence and Common Sense

Artificial intelligence is everywhere around us. Deep-learning algorithms are used to classify images, suggest songs to us, and even to drive cars. But the quest to build truly "human" artificial inte...

14 Feb 20221h 24min

AMA | February 2022

AMA | February 2022

Welcome to the February 2022 Ask Me Anything episode of Mindscape! These monthly excursions are funded by Patreon supporters (who are also the ones asking the questions). I take the large number of qu...

10 Feb 20224h 15min

183 | Michael Dine on Supersymmetry, Anthropics, and the Future of Particle Physics

183 | Michael Dine on Supersymmetry, Anthropics, and the Future of Particle Physics

Modern particle physics is a victim of its own success. We have extremely good theories — so good that it's hard to know exactly how to move beyond them, since they agree with all the experiments. Yet...

7 Feb 20221h 39min

182 | Sally Haslanger on Social Construction and Critical Theory

182 | Sally Haslanger on Social Construction and Critical Theory

Reality is just out there — but how we perceive reality and talk about it depends on choices we human beings make. We decide (consciously or not) to conceptualize the world in certain ways, whether it...

31 Jan 20221h 37min

181 | Peter Dodds on Quantifying the Shape of Stories

181 | Peter Dodds on Quantifying the Shape of Stories

A good story takes you on an emotional journey, with ups and downs along the way. Thanks to science, we can quantify that. Peter Dodds works on understanding the structure of stories and other strings...

24 Jan 20221h 16min

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