🎯 The Dunning-Kruger Effect: Why Low Skill Can Hide Its Own Existence
Explore the Dunning-Kruger effect, the 1999 finding that people with low competence in a domain tend to overestimate their ability, because judging performance well requires much the same skill as performing well.
The simulation plots actual test-score quartile against both true percentile ranking and self-estimated percentile ranking, showing how the estimate line stays roughly flat near the middle while the actual-performance line rises steeply from bottom to top quartile.
🔬 What It Demonstrates
The simulation plots actual test-score quartile against both true percentile ranking and self-estimated percentile ranking, showing how the estimate line stays roughly flat near the middle while the actual-performance line rises steeply from bottom to top quartile.
🎮 How to Use
Choose a skill domain, drag the noise or sample-size slider to see how measurement noise and regression to the mean can reshape the gap between estimated and actual quartiles, and press play to watch simulated participants' self-estimates cluster toward the middle regardless of their true score.
💡 Did You Know?
Justin Kruger and David Dunning's 1999 paper was titled Unskilled and Unaware of It, and it won them the 2000 Ig Nobel Prize in Psychology, a satirical award for research that first makes people laugh, then makes them think.
Explore the Dunning-Kruger effect, the 1999 finding that people with low competence in a domain tend to overestimate their ability, because judging performance well requires much the same skill as performing well.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install