Psychologist and Nobel laureate Daniel Kahneman shines a light on the biases that cripple our decision-making, hamstring negotiations, and damper our thinking, and shares what limited actions we can take to combat their effects.  Go Premium: Members get early access, ad-free episodes, hand-edited transcripts, searchable transcripts, member-only episodes, and more. Sign up at: https://fs.blog/membership/   Every Sunday our newsletter shares timeless insights and ideas that you can use at work and home. Add it to your inbox: https://fs.blog/newsletter/   Follow Shane on Twitter at: https://twitter.com/ShaneAParrish

Nobel Prize winner Daniel Kahneman and Adam Grant discuss when to trust intuition, finding joy in being wrong, smarter interviewing, decision-making biases, inclusion of artists with disabilities in art, delaying intuition in decision-making, and the impact of winning a Nobel Prize on one's career.

Daniel Kahneman is winner of the Nobel Prize in economics for his integration of economic science with the psychology of human behavior, judgment and decision-making. He is the author of the popular book “Thinking, Fast and Slow” that summarizes in an accessible way his research of several decades, often in collaboration with Amos Tversky, on cognitive biases, prospect theory, and happiness. The central thesis of this work is a dichotomy between two modes of thought: “System 1” is fast, instinctive and emotional; “System 2” is slower, more deliberative, and more logical. The book delineates cognitive biases associated with each type of thinking. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon. This episode is presented by Cash App. Download it (App Store, Google Play), use code “LexPodcast”.  Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time. 00:00 – Introduction 02:36 – Lessons about human behavior from WWII 08:19 – System 1 and system 2: thinking fast and slow 15:17 – Deep learning 30:01 – How hard is autonomous driving? 35:59 – Explainability in AI and humans 40:08 – Experiencing self and the remembering self 51:58 – Man’s Search for Meaning by Viktor Frankl 54:46 – How much of human behavior can we study in the lab? 57:57 – Collaboration 1:01:09 – Replication crisis in psychology 1:09:28 – Disagreements and controversies in psychology 1:13:01 – Test for AGI 1:16:17 – Meaning of life

Psychologists explore the power of word choice and priming in influencing behavior and decision making. They discuss the impact of language on perception and the semantic ambiguity of talent. The podcast features examples of a mentalist who uses priming tricks. Sponsored by IXL, Rosetta Stone, and Indeed.

Nobel Prize winner Daniel Kahneman discusses judgment, decision-making, reducing noise and bias, and thinking fast and slow. Personal experiences during World War II, collaboration research on intuition and expertise, system one and system two processing, measuring and defining emotions, wealth and happiness connection, role of bias and noise in decision making, growth and wisdom, and cognitive biases are explored.

In this discussion with Nobel laureates Daniel Kahneman, a psychologist acclaimed for his insights into decision-making, and Angus Deaton, an economist focused on welfare, they explore the complex relationship between money and happiness. They dissect a landmark study linking emotional well-being to income up to $75,000, then present contrasting views on newer research suggesting money may correlate with happiness without limit. Their debate highlights the evolving understanding of financial security and personal fulfillment.

Nobel laureate Daniel Kahneman, a groundbreaking psychologist, discusses Bias and Noise in decision-making, highlighting the impact on accuracy. They explore the Origins of Behavioral Economics and the intersection of economics and psychology, emphasizing the need for intuitive solutions. The podcast delves into perception of environmental cleanup and embraces change and wisdom, offering insights on making fulfilling life choices.

Daniel Kahneman, Nobel Prize winner, discusses when to trust intuition, finding joy in being wrong, smarter interviewing, and making decisions. They explore reducing misery, the joy of being wrong, learning from habits and cognitive biases, and the role of intuition in decision making.

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!

Cognitive scientist Daniel Kahneman, psychologist Ellen Langer, and philosopher Hilary Lawson discuss perception bias, decision-making, truth, variability in biases, openness vs. structure, expert guidance, AI surpassing human intelligence, and the role of AI in future discourse.