Economic experiments and the origin of the name
Camerer, Loewenstein and Weber (1989) asked participants who knew companies' actual earnings to predict how other people, who lacked that information, would forecast them. Participants were paid for accuracy, yet they could not ignore what they knew and biased their predictions toward the actual results. Market trading reduced the bias but did not eliminate it. The findings showed that better-informed parties may fail to exploit the fact that others are less informed, challenging assumptions in economic theories of asymmetric information. The phenomenon is closely related to hindsight bias, the belief after learning an outcome that one could have predicted it. Fischhoff (1975) showed that knowing an outcome changes judgments and that people do not recognize this influence.
Song tapping and the illusion of transparency
In research for her Stanford doctoral dissertation, Newton (1990) had one person tap out the rhythm of a well-known song and another guess the title. Tappers predicted that listeners would guess about half the songs, but listeners identified only 3 of 120, about 2.5%. Because the melody played in the tappers' heads, they found it hard to imagine the experience of hearing only the rhythm. Heath and Heath (2007) cited the study to stress that the curse of knowledge must be guarded against when communicating ideas. Gilovich, Savitsky and Medvec (1998) showed the illusion of transparency, the belief that one's emotions are more visible to others than they really are, and Nickerson (1999) comprehensively reviewed the tendency to impute one's own knowledge to others. This is also related to the spotlight effect, the overestimation of how much others notice us.
Theory of mind and the curse of expertise
Birch and Bloom (2003) showed that children aged 3 to 5 are especially prone to judging that others know what they know. Birch and Bloom (2007) showed that adults, too, are influenced in false-belief tasks when they know an object's actual location, and Ryskin and Brown-Schmidt (2014) estimated in a large replication that the effect exists but is smaller than originally reported. Keysar, Lin and Barr (2003) showed that adults often make the mistake of considering objects in a conversation that their partner cannot see. Hinds (1999) reported a curse of expertise: experts underestimate how long novices take to perform tasks, and debiasing methods have only limited effect. Kennedy (1995) examined ways to reduce the bias in audit judgments. Pinker (2014) named the curse of knowledge as the single biggest cause of hard-to-understand writing.
FAQ
- What is the curse of knowledge in simple terms?
- It is the difficulty of imagining what it is like not to know something you already know. A teacher or expert skipping steps in an explanation because they assume everyone already knows them is the classic example.
- How does the curse of knowledge differ from the Dunning–Kruger effect?
- The curse of knowledge is the problem of knowledgeable people wrongly assuming others know as much as they do. The Dunning–Kruger effect is the problem of people with limited skill overestimating their own ability, so the two biases run in different directions.
Sources reviewed: 2026-10-26
References
- Fischhoff, B. (1975). Hindsight ≠ foresight: The effect of outcome knowledge on judgment under uncertainty. Journal of Experimental Psychology: Human Perception and Performance, 1(3), 288–299.
- Camerer, C., Loewenstein, G., & Weber, M. (1989). The curse of knowledge in economic settings: An experimental analysis. Journal of Political Economy, 97(5), 1232–1254.
- Newton, E. L. (1990). The rocky road from actions to intentions (Doctoral dissertation). Stanford University.
- Kennedy, J. (1995). Debiasing the curse of knowledge in audit judgment. The Accounting Review, 70(2), 249–273.
- Gilovich, T., Savitsky, K., & Medvec, V. H. (1998). The illusion of transparency: Biased assessments of others' ability to read one's emotional states. Journal of Personality and Social Psychology, 75(2), 332–346.
- Hinds, P. J. (1999). The curse of expertise: The effects of expertise and debiasing methods on predictions of novice performance. Journal of Experimental Psychology: Applied, 5(2), 205–221.
- Nickerson, R. S. (1999). How we know—and sometimes misjudge—what others know: Imputing one's own knowledge to others. Psychological Bulletin, 125(6), 737–759.
- Birch, S. A. J., & Bloom, P. (2003). Children are cursed: An asymmetric bias in mental-state attribution. Psychological Science, 14(3), 283–286.
- Keysar, B., Lin, S., & Barr, D. J. (2003). Limits on theory of mind use in adults. Cognition, 89(1), 25–41.
- Birch, S. A. J., & Bloom, P. (2007). The curse of knowledge in reasoning about false beliefs. Psychological Science, 18(5), 382–386.
- Heath, C., & Heath, D. (2007). Made to Stick: Why Some Ideas Survive and Others Die. New York: Random House.
- Ryskin, R. A., & Brown-Schmidt, S. (2014). Do adults show a curse of knowledge in false-belief reasoning? A robust estimate of the true effect size. PLoS ONE, 9(3), e92406.
- Pinker, S. (2014). The Sense of Style: The Thinking Person's Guide to Writing in the 21st Century. New York: Viking.