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Daniel Kahneman

51 Podcast Episodes

Latest 29 Jan 2022 | Updated Daily

Weekly hand curated podcast episodes for learning

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On Being with Krista Tippett: Daniel Kahneman — Why We Contradict Ourselves and Confound Each Other

Weekly Best Podcast Episodes for Learning

Published on 05 Oct 2017. The Nobel Prize-winning psychologist on why we think and act the way we do — and why facts matter less than we think in forming our beliefs. With his book Thinking, Fast and Slow, Daniel Kahneman emerged as one of the most intriguing voices on the complexity of human thought and behavior. He is a psychologist who won the Nobel Prize in economics for helping to create the field of behavioral economics — and is a self-described “constant worrier.” It’s fun, helpful, and more than a little unnerving to apply his insights into why we think and act the way we do in this moment of social and political tumult. Find the transcript for this show at onbeing.org.

52mins

4 Dec 2022

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On Being with Krista Tippett: Daniel Kahneman — Why We Contradict Ourselves and Confound Each Other

Weekly Best Podcast Episodes for Learning

Published on 05 Oct 2017. The Nobel Prize-winning psychologist on why we think and act the way we do — and why facts matter less than we think in forming our beliefs. With his book Thinking, Fast and Slow, Daniel Kahneman emerged as one of the most intriguing voices on the complexity of human thought and behavior. He is a psychologist who won the Nobel Prize in economics for helping to create the field of behavioral economics — and is a self-described “constant worrier.” It’s fun, helpful, and more than a little unnerving to apply his insights into why we think and act the way we do in this moment of social and political tumult. Find the transcript for this show at onbeing.org.

52mins

4 Dec 2022

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Book Insight #20 Noise by Daniel Kahneman, Olivier Sibony, Cass S. Sunstein

DipidiffTalks

From the Nobel Prize-winning author of Thinking, Fast and Slow and the coauthor of Nudge, a revolutionary exploration of why people make bad judgments and how to make better ones--"a tour de force” (New York Times). Dalam Noise, Daniel Kahneman, Olivier Sibony, dan Cass R. Sunstein menunjukkan efek merugikan dari Noise di banyak bidang, termasuk kedokteran, hukum, prediksi ekonomi, ilmu forensik, asuransi, perlindungan anak, strategi, tinjauan kinerja, dan pemilihan personel. Di mana ada penghakiman, di situ ada noise. Namun, sebagian besar waktu, individu dan organisasi sama-sama tidak menyadarinya. Mereka mengabaikan noise. Dengan beberapa solusi sederhana, orang dapat mengurangi noise dan bias, sehingga membuat keputusan yang jauh lebih baik. Visit my blog too at dipidiff.com

20mins

24 Jan 2022

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#1 - Daniel Kahneman: Lex Fridman Podcast

Non-Fiction Authors Getting Interviewed

Daniel Kahneman: Lex Fridman Podcast

1hr 15mins

5 Jan 2022

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Getting AI To Think And Learn Like Humans — With Daniel Kahneman and Yann LeCun

Big Technology Podcast

Daniel Kahneman is a Nobel prize-winning psychologist and economist and author of Thinking, Fast and Slow, a landmark book that decodes human decision-making. Yann LeCun is the chief AI scientist at Meta (Facebook) and a pioneer in the field of deep learning, which the cutting edge of AI is based on today. The two come together on Big Technology Podcast this week to discuss how machines and humans learn, whether there are parallels, and what each field can learn from each other. Support this podcast at — https://redcircle.com/big-technology-podcast/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

1hr 7mins

8 Dec 2021

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Beyond cognitive biases: improving judgment by reducing noise (with Daniel Kahneman)

Clearer Thinking with Spencer Greenberg

How can we apply the theory of measurement accuracy to human judgments? How can cognitive biases affect both the bias term and the noise term in measurement error? How much noise should we expect in judgments of various kinds? Is there reason to think that machines will eventually make better decisions than humans in all domains? How does machine decision-making differ (if at all) from human decision-making? In what domains should we work to reduce variance in decision-making? If machines learn use human decisions as training data, then to what extent will human biases become "baked into" machine decisions? And can such biases be compensated for? Are there any domains where human judgment will always be preferable to machine judgment? What does the "fragile families" study tell us about the limits of predicting life outcomes? What does good decision "hygiene" look like? Why do people focus more on bias than noise when trying to reduce error? To what extent can people improve their decision-making abilities? How can we recognize good ideas when we have them? Humans aren't fully rational, but are they irrational? Daniel Kahneman is Professor of Psychology and Public Affairs Emeritus at the Princeton School of Public and International Affairs, the Eugene Higgins Professor of Psychology Emeritus at Princeton University, and a fellow of the Center for Rationality at the Hebrew University in Jerusalem. Dr. Kahneman has held the position of professor of psychology at the Hebrew University in Jerusalem (1970-1978), the University of British Columbia (1978-1986), and the University of California, Berkeley (1986-1994). He is a member of the National Academy of Science, the Philosophical Society, the American Academy of Arts and Sciences, and is a fellow of the American Psychological Association, the American Psychological Society, the Society of Experimental Psychologists, and the Econometric Society. He has been the recipient of many awards, among them the Distinguished Scientific Contribution Award of the American Psychological Association (1982) and the Grawemeyer Prize (2002), both jointly with Amos Tversky, the Warren Medal of the Society of Experimental Psychologists (1995), the Hilgard Award for Career Contributions to General Psychology (1995), the Nobel Prize in Economic Sciences (2002), the Lifetime Contribution Award of the American Psychological Association (2007), and the Presidential Medal of Freedom (2013). He holds honorary degrees from numerous universities. Find out more about him here. Here's the link to the Thought Saver deck that accompanies this episode: https://app.thoughtsaver.com/embed/JGXcbe19e1?start=1&end=17

1hr 15mins

23 Sep 2021

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Ep 21: Daniel Kahneman on How Noise Hampers Judgement

Brave New World -- hosted by Vasant Dhar

We overestimate our skill at decision making. We're pretty bad, and bias isn't the only reason. Daniel Kahneman joins Vasant Dhar in episode 21 of Brave New World to shed light on the problem of Noise, and what we can do about it. Useful resources: 1. Noise: A Flaw in Human Judgement -- Daniel Kahneman, Olivier Sibony and Cass Sunstein. 2. Thinking, Fast and Slow -- Daniel Kahneman. 3. Dissecting “Noise” -- Vasant Dhar. 4. Superforecasting: The Art and Science of Prediction -- Philip Tetlock and Dan Gardner. 5. Herbert A Simon on Amazon.

54mins

16 Sep 2021

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Daniel Kahneman - Why We Make Bad Judgments

How To Academy Podcast

The quality of professional judgments have a huge and lasting impact on all of our lives: the decision of an A&E doctor treating a patient, a teacher grading a paper, or a high court judge delivering a sentencing should not be a matter of personal taste. And yet there is huge, unwanted variability across human judgment.Bias has long been the star of the show when it comes to errors in decision making. Now Daniel Kahneman, Cass Sunstein and Olivier Sibony have uncovered a critical and overlooked factor: noise. Noise explains why police officers show greater leniency towards offenders who have the same name as they do; why doctors prescribe more drugs at the end of the day than at the beginning; why judicial sentences tend to be more severe in hot weather; and why stock-market performance is affected by sunshine.In conversation with Diana Fox Carney, Kahneman, Sunstein and Sibony reveal how noise and bias both shape our thought processes – and the remedies we can take to make far better decisions and judgments. Learn more about your ad choices. Visit megaphone.fm/adchoices

1hr 4mins

12 Jul 2021

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189. Daniel Kahneman — Noise: A Flaw in Human Judgment

The Michael Shermer Show

Imagine that two doctors in the same city give different diagnoses to identical patients. Now imagine that the same doctor making a different decision depending on whether it is morning or afternoon, or Monday rather than Wednesday. This is an example of noise: variability in judgments that should be identical. Shermer speaks with Nobel Prize winning psychologist and economist Daniel Kahneman about the detrimental effects of noise and what we can do to reduce both noise and bias, and make better decisions in: medicine, law, economic forecasting, forensic science, bail, child protection, strategy, performance reviews, and personnel selection.

1hr 40mins

19 Jun 2021

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518: Daniel Kahneman | When Noise Destroys Our Best of Choices

The Jordan Harbinger Show

Daniel Kahneman is a celebrated psychologist, economist, Nobel Prize winner, and author of the much-lauded Thinking, Fast and Slow and his latest, Noise: A Flaw in Human Judgment. What We Discuss with Daniel Kahneman: Why we don’t always produce the same results when faced with the same facts on two different occasions. How noise -- in this context, variability in judgments that should be identical -- influences our choices. How the detrimental effects of noise in medicine, law, economic forecasting, forensic science, bail, child protection, strategy, performance reviews, and personnel selection can ruin (and even end) lives. How to tell the difference between noise and good old-fashioned bias. How we can reduce the role of noise and bias in our lives to make our best choices. And much more... Full show notes and resources can be found here: jordanharbinger.com/518 Sign up for Six-Minute Networking -- our free networking and relationship development mini course -- at jordanharbinger.com/course! Like this show? Please leave us a review here -- even one sentence helps! Consider including your Twitter handle so we can thank you personally!

1hr 8mins

8 Jun 2021

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