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Optimism Bias

Believing bad things are less likely to happen to you

Judgment

What is it?

Optimism bias is the tendency to believe that we personally are less likely than others to experience negative events and more likely to experience positive ones. It is widespread. In a classic 1980 study, Neil Weinstein found that students rated their own chances of good life events as above average and their chances of bad ones as below average. People tend to underestimate their chances of divorce, a car accident, or serious illness, while overestimating their chances of a long life and career success. Brain-imaging studies have linked the bias to how the brain processes imagined future events. Optimism may promote action and persistence; some studies suggest that mildly depressed people make less optimistic and sometimes more accurate predictions, though that finding is debated. The bias still causes real problems: underinsurance, inadequate savings, risky health behaviors, and poor project planning. The planning fallacy is partly driven by optimism bias. In business, it can lead entrepreneurs to underestimate competition and overestimate demand. It can be partly mitigated through reference class forecasting (comparing with statistical base rates), pre-mortem analysis (imagining what could go wrong), and taking the view of a neutral observer who doesn't share your hopes.

Example

Starting a business sure you'll succeed without checking how many similar ventures fail. Smoking while thinking "cancer happens to others." Not saving for retirement assuming things will work out.

References

Weinstein, N. D. (1980). Unrealistic Optimism About Future Life Events. Journal of Personality and Social Psychology, 39(5), 806-820.

Sharot, T. (2011). The Optimism Bias. Current Biology, 21(23), R941-R945.

Sharot, T., Riccardi, A. M., Raio, C. M., & Phelps, E. A. (2007). Neural Mechanisms Mediating Optimism Bias. Nature, 450(7166), 102-105.

How to Prevent It

Doxa uses AI and can make mistakes. How it's built

Question

What is the base rate of success for ventures like this?

Question

What could realistically go wrong?

Question

Am I assuming the best-case scenario will happen?

Question

What risks am I underestimating because I want this to succeed?

Question

Have similar plans by others failed, and why?

Technique

Conduct a pre-mortem: imagine failure and work backward.

Technique

Seek input from skeptics and pessimists.

Technique

Put a date and a threshold on your hopes (e.g. 10 clients by June), then check them.

Technique

Create contingency plans for realistic negative scenarios.

Technique

Have an independent party review your risk assessment.