Thinking, Fast and Slow

Daniel Kahneman

In his mega bestseller, Thinking, Fast and Slow, Daniel Kahneman, world-famous psychologist and winner of the Nobel Prize in Economics, takes us on a groundbreaking tour of the mind and explains the two systems that drive the way we think. System 1 is fast, intuitive, and emotional; System 2 is slower, more deliberative, and more logical. The impact of overconfidence on corporate strategies, the difficulties of predicting what will make us happy in the future, the profound effect of cognitive biases on everything from playing the stock market to planning our next vacation―each of these can be understood only by knowing how the two systems shape our judgments and decisions. Engaging the reader in a lively conversation about how we think, Kahneman reveals where we can and cannot trust our intuitions and how we can tap into the benefits of slow thinking.

ScienceScience · medium confidenceScience81 signalsLlm Classifier: Science -> ScienceOpen Library: Self-actualization (Psychology) -> Medicine & Public HealthOpen Library: Cognitive psychology -> Medicine & Public HealthIntellectual History & IdeasLiterature & WritersMental Health & Psychology
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    None extracted with sufficient confidence.

  2. 02 Central places

    None extracted with sufficient confidence.

  3. 03 Suggested argument

    Cognitive judgments and decisions are driven by two systems of thinking—fast, intuitive System 1 and slower, deliberative System 2—and knowing their effects explains cognitive biases and where intuition is or isn’t trustworthy.

    Model confidence 82%

  4. 04 Reading orientation

    50 / 100 academic

    Trade / academic crossover

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 83%.