Thinking, Fast and Slow audiobook cover - A Nobel-winning psychologist reveals why the mind runs on two modes—fast intuition and slow reasoning—and how that split quietly drives biases, overconfidence, risk mistakes, and even how we remember pain, happiness, and the meaning of a life.

Thinking, Fast and Slow

A Nobel-winning psychologist reveals why the mind runs on two modes—fast intuition and slow reasoning—and how that split quietly drives biases, overconfidence, risk mistakes, and even how we remember pain, happiness, and the meaning of a life.

Daniel Kahneman

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Chapter Overview

Description

Thinking, Fast and Slow explores how people actually judge, decide, and choose—often in ways that feel rational but aren’t. Daniel Kahneman frames the mind as two interacting modes: System 1, fast and automatic, and System 2, slow, effortful, and easily fatigued. With vivid experiments and real-world examples, the book shows how the brain’s hunger for coherent stories creates predictable errors: anchoring, availability, representativeness, base-rate neglect, and the illusion of understanding.

In the second half, Kahneman turns to choices under risk and introduces prospect theory: people feel losses more strongly than gains, overweight rare events, and are dramatically influenced by framing. He then closes with a surprising split inside the self: the “experiencing self” that lives moment to moment versus the “remembering self” that tells the story afterward—often ignoring duration and privileging peaks and endings.

Who Should Listen

  • Leaders, managers, and analysts who make high-stakes decisions and want practical ways to reduce judgment errors.
  • Anyone interested in psychology, behavioral economics, persuasion, and why smart people still make predictable mistakes.
  • Readers curious about happiness and well-being—especially the clash between lived experience and remembered life.

About the Authors

Daniel Kahneman is a psychologist and Senior Scholar at Princeton University, awarded the 2002 Nobel Prize in Economic Sciences for work on judgment and decision-making (with foundational contributions alongside Amos Tversky). He helped launch behavioral economics by showing systematic departures from the rational-agent model.