Psychology

Stumbling on Happiness

Overview

Daniel Gilbert reveals why humans are remarkably bad at predicting what will make them happy.

Gilbert is a Harvard psychologist whose research on affective forecasting — how accurately people predict their own emotional futures — shaped a generation of happiness research. Stumbling on Happiness, published in 2006, popularised that work and won the Royal Society's prize for general-interest science writing. Gilbert's TED talk on the same material has over twenty million views.

Key Ideas

Imagination is flawed

Our brains fill in details that may not exist when imagining futures.

Impact bias

We overestimate how long future events will affect our emotional state.

Psychological immune system

We have a powerful ability to rationalize and recover from negative experiences.

Who should read this

Readers interested in why we're bad at predicting what will make us happy. Particularly useful for anyone about to make a major decision (career, marriage, move) on the assumption that the expected outcome will feel the way they imagine. Gilbert's research, uncomfortably, suggests we are often wrong.

Who might skip it

Skip if you want a self-help book in the usual sense — Stumbling on Happiness is a research book with a funny voice, not a prescription. Gilbert doesn't tell you how to be happy; he tells you why your predictions about happiness are unreliable, which is a different kind of usefulness.

The verdict

One of the best popular psychology books ever published. Gilbert writes with unusual wit and is honest about how surprising his own findings were even to him. The central insight — that the future-self whose interests we act on is largely imaginary — is one of the most useful ideas in social psychology. Essential.

"We treat our future selves as though they were our children."

— Daniel Gilbert, Stumbling on Happiness

If you liked this

The Happiness Hypothesis by Jonathan Haidt for a related tradition. Flourish by Martin Seligman for the intervention-focused companion.