The Dunning–Kruger Graph You've Seen Isn't in the Dunning–Kruger Paper

No, the famous “Mount Stupid” curve does not appear in Kruger and Dunning’s 1999 paper “Unskilled and unaware of it” (Journal of Personality and Social Psychology, 77, 1121-1134). The version in memes has a tall peak of confidence for beginners, a crash into a “valley of despair,” then a slow climb. The paper has no such shape.

This post is a myth check on that graph, not a second pass at the better-than-average effect, which has its own write-up elsewhere on this blog. The new part here is what the figures plot and what the two sides of the artifact argument claim.

What does the real figure show?

The paper’s graphs sort participants into four groups by their actual score, then plot, for each group, how they really ranked next to how they thought they ranked. The tests covered humor, logical reasoning and grammar. The abstract gives the headline: participants in the bottom quartile “grossly overestimated” their performance, and although their scores put them in the 12th percentile, they estimated themselves to be in the 62nd. Top performers, by the paper’s account, tended to underestimate how they compared with others.

Look at what is on the axes. Actual ability runs from low to high across quartiles, and every quartile gets a perceived-standing value to set beside the real one. There is no time axis, no beginner who gains knowledge, no peak and no valley. The meme plots “confidence” against “knowledge,” which are variables the paper never measured that way.

The perceived line also climbs steadily as ability rises. Bottom scorers thought they were above average. They did not think they were the best in the room.

What does the statistical-artifact critique say?

Krueger and Mueller (2002, same journal, 82, 180-188) argued that regression to the mean plus a general better-than-average tilt could produce the pattern. Self-estimates and test scores are both noisy and only loosely correlated, so the people at the bottom of one will, on average, sit higher on the other. Kruger and Dunning replied in the same issue (82, 189-192) that this account did not fit the experimental data in their original article.

Nuhfer and colleagues (2016, Numeracy, 9) went further with random-number simulations, showing that noise alone can generate graphs that look like the famous one. Gignac and Zajenkowski (2020, Intelligence, 80, 101449) titled their paper “The Dunning-Kruger effect is (mostly) a statistical artefact.” Critics of that paper were in turn challenged, and the exchange is still running.

So what survives?

A narrower claim. Self-ratings of skill are noisy, tilt upward, and correlate only loosely with measured performance. That holds whichever camp turns out to be right, and it is the only part you need.

Now apply it to the sentence “I’m a morning person now, I’ll definitely be up at six.” It is a self-report about your own future behavior, which makes it a noisy estimate with a flattering tilt. Nobody had to be stupid for that to happen. The same pattern shows up when people estimate project timelines, as covered in the research on planning-fallacy estimates, and the cure there is the same: swap the feeling for a record. Scoring your predictions like a forecaster is one way to build that record over weeks.

The other way is to take yourself out of the grading. A video taken within 30 seconds of the alarm either exists or it doesn’t, and no mood changes that, which is why video proof beats a self-report as evidence. DontSnooze is built around that idea: the morning gets checked by something other than your own opinion of yourself.

None of this needs the Mount Stupid story to be true. It needs only the dull, well-supported result that you are a poor judge of your own consistency, and that a written log or a timestamped clip beats your memory every time it is tested.