Overconfidence Bias
Being more confident than accuracy warrants
What is it?
Overconfidence bias is one of the most studied cognitive biases and takes three forms: overestimation (thinking we perform better than we do), overplacement (thinking we're better than others), and overprecision (excessive certainty in our beliefs). Many people rate themselves above average on desirable traits, in numbers too high for all of them to be right. Professionals are not immune: overconfidence has been documented among doctors, lawyers, and executives. Entrepreneurs often show high confidence in their own venture's odds, which may help explain both why they start businesses and why many fail. In calibration studies, answers people say they are 90% sure of turn out to be right noticeably less often than that. The bias resists feedback partly because we tend to explain failures as bad luck and successes as skill. Overconfidence leads to inadequate preparation, poor risk assessment, thin contingency plans, and the illusion that complex problems have simple solutions. Calibrating confidence requires tracking predictions over time and deliberately considering scenarios where you could be wrong.
Example
Believing a project will take 3 months when similar projects took 6+ months. Rating yourself as an above-average driver. Being 99% sure of an answer that turns out wrong.
References
Fischhoff, B., Slovic, P., & Lichtenstein, S. (1977). Knowing with Certainty: The Appropriateness of Extreme Confidence. Journal of Experimental Psychology: Human Perception and Performance, 3(4), 552-564.
Lichtenstein, S., Fischhoff, B., & Phillips, L. D. (1982). Calibration of Probabilities: The State of the Art to 1980. In D. Kahneman, P. Slovic, & A. Tversky (Eds.), Judgment Under Uncertainty: Heuristics and Biases (pp. 306-334). Cambridge University Press.
Moore, D. A., & Healy, P. J. (2008). The Trouble with Overconfidence. Psychological Review, 115(2), 502-517.
How to Prevent It
Doxa uses AI and can make mistakes. How it's built
What is my track record on similar predictions?
What assumptions am I making that could be wrong?
How wide should my confidence interval really be?
What do I not know that could affect this outcome?
Would an expert in this area agree with my assessment?
Seek feedback from people who will challenge your views.
Use base rates from similar past situations.
Keep a prediction log and review your accuracy regularly.
Express estimates as ranges rather than single numbers.
Conduct pre-mortems to identify overlooked failure modes.
Related Decisions
Starting a new project
May overestimate ability to succeed
Starting your own business
May overestimate own abilities
Making a major business investment
May overestimate ability to predict outcomes
Accepting a promotion
May overestimate readiness for new responsibilities
Entering a new market
May overestimate competitive advantage
Delegating responsibilities
May believe only you can do it right
Setting project deadlines
May overestimate team velocity