What it argues
Tali Sharot is a neuroscientist at University College London, and The Optimism Bias is her account of a finding that surprised researchers: most humans systematically overestimate the likelihood of good things happening to them and underestimate the likelihood of bad ones. Roughly eighty percent of people are affected. This isn't a personality trait of cheerful people; it's a feature of the human brain. Brain imaging studies show that when people process information that contradicts their optimistic beliefs, they simply update less than the data warrants.
Sharot's argument is that this bias isn't a design flaw. Optimism correlates with better health outcomes, greater resilience after setbacks, higher motivation, and even longevity. The bias sustains action in the face of uncertainty. Without it, the honest calculation of how likely your startup is to succeed, or how unlikely you are to have a happy marriage, might make the whole project feel pointless. The brain's positive spin on the future is partly what makes the future happen.
What it gets right
- 1.
Around eighty percent of people have an optimism bias: they systematically expect the future to be better than statistics warrant.
- 2.
The bias isn't random. Brain imaging shows that people update their beliefs more readily in response to good news than bad news, even when controlling for the quality of information.
- 3.
Optimism is adaptive. It correlates with better health, greater persistence, higher motivation, and faster recovery from setbacks.
What it covers
Who wrote it
Tali Sharot is a professor of cognitive neuroscience at University College London and Massachusetts Institute of Technology. She directs the Affective Brain Lab, which studies how emotion, optimism, and social influence shape decision-making. Her TED talks on optimism bias have been viewed millions of times. She is also the author of The Influential Mind, which examines how brain research can inform attempts to change others' beliefs and behaviors. Her research has been published in Nature, Neuron, and the Journal of Neuroscience.