Stumbling on Happiness

Daniel Gilbert

Why are lovers quicker to forgive their partners for infidelity than for leaving dirty dishes in the sink? Why do patients remember long medical procedures as less painful than short ones? Why do home sellers demand prices they wouldn't dream of paying if they were home buyers? Why does the line at the grocery store always slow down when we join it? In this book, Harvard psychologist Gilbert describes the foibles of imagination and illusions of foresight that cause each of us to misconceive our tomorrows and misestimate our satisfactions. Using the latest research in psychology, cognitive neuroscience, philosophy, and behavioral economics, Gilbert reveals what we have discovered about the uniquely human ability to imagine the future, our capacity to predict how much we will like it when we get there, and why we seem to know so little about the hearts and minds of the people we are about to become.--From publisher description.

ScienceScience · medium confidenceScience81 signalsLlm Classifier: Science -> ScienceKeyword Classifier: Medicine & Public Health -> Medicine & Public HealthTopic Classifier: Mental Health & Psychology -> Medicine & Public HealthMental Health & PsychologyMedicine, Health & the BodyPublic Health Systems
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

    Humans systematically misconceive the future and misestimate future satisfactions, driven by imagination and illusions of foresight, which explains predictable errors in choices and judgments.

    Model confidence 72%

  4. 04 Reading orientation

    55 / 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: 66%.