Self-Rated Ability Correlates Only .29 With Performance. What Raises It?
Zell and Krizan (2014) pooled 22 meta-analyses: self-ratings of ability track measured performance at r = .29. Narrow, objective, familiar tasks do better.
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The weakest of the 22 correlations is .09. The strongest is .63. Averaged across everything from medical skills to sports ability, the number is .29, with a standard deviation of .11. That is the result of Ethan Zell and Zlatan Krizan’s 2014 paper “Do People Have Insight Into Their Abilities? A Metasynthesis” (Perspectives on Psychological Science, 9(2), 111-125), and it is the figure to hold in mind the next time you are sure you would know if you were falling behind.
How well do people’s self-ratings match their performance?
Moderately, and not much better. Zell and Krizan collected 22 meta-analyses that compared self-evaluations of ability (academic ability, intelligence, language competence, medical skills, sports ability, vocational skills) with objective outcomes such as standardized test scores, grades and supervisor evaluations. Individual meta-analytic effects ran from .09 to .63; the mean was .29. Their summary sentence: “people have only moderate insight into their abilities.” At .29, a person’s self-rating leaves most of the variation in their performance unexplained, and the spread between .09 and .63 means the answer to “how well do people know themselves?” depends heavily on what they were asked to rate.
Two cautions on reading that. The paper is about ability ratings, not about habits, so applying it to something like waking time is an analogy. And a correlation measures whether the ranking of people matches, not whether they rate themselves too high on average; those are separate questions.
Where does this leave the Dunning-Kruger argument?
Kruger and Dunning’s 1999 paper (Journal of Personality and Social Psychology, 77, 1121-1134) is titled “Unskilled and unaware of it: How difficulties in recognizing one’s own incompetence lead to inflated self-assessments.” Gignac and Zajenkowski (2020, Intelligence, 80, 101449) answered with “The Dunning-Kruger effect is (mostly) a statistical artefact.” Later papers have challenged that reading in turn, so the dispute is not closed. A compact scorecard:
| Kruger & Dunning, 1999 | Critics, 2020 onward | What the pooled data support | |
|---|---|---|---|
| Claim | Difficulty recognizing one’s own incompetence inflates self-assessments | The famous pattern is mostly a statistical artefact | Self-ratings and performance correlate moderately |
| Source | JPSP, 77, 1121-1134 | Gignac & Zajenkowski, Intelligence, 2020 | Zell & Krizan, 22 meta-analyses, M = .29 |
| Status | Disputed | Disputed in turn | Reported as a range, .09 to .63 |
The argument is about why self-assessment is poor and for whom. The pooled correlation is a separate piece of evidence, and it does not depend on who wins.
What made self-ratings more accurate?
Zell and Krizan report moderators, and they read like a spec for a good question. Self-ratings matched performance better when:
- the self-evaluation was specific to a domain rather than broad;
- the performance task was objective rather than subjective;
- the task was familiar;
- the task was low in complexity.
“Am I a disciplined person?” fails all four. “Was I up at 6:30 today?” passes them. That is my reading of the moderators, not something the paper tested on wake-up times, but it points the same direction as the numbers. A ten-point rating of an entire life area, as in the wheel-of-life exercise, sits at the low end by this logic, which is a reason to treat such scores as a prompt for questions rather than a measurement.
What should the reader do with a .29 tomorrow morning?
Convert the vague self-rating into a daily yes/no with a clock time, and record each answer at the moment it happens. Memory does the rest of the damage later: forward estimates are also optimistic, as the planning fallacy literature on project durations shows, so a written guess made before the week begins is worth having for comparison.
A yes/no about the alarm is about as narrow as a self-check gets, and it can be taken out of your hands altogether. DontSnooze, an iOS app, makes the clip you film when the alarm goes off the record itself, visible to friends, so the Sunday tally does not depend on how the week felt. If you want the mechanics, how the app works walks through them.
One limit on all of this: a perfect log of mornings measures mornings. It cannot tell you whether the reason you set the alarm, the course, the job, the book, is moving forward, and for that a ratings-based check is back on the table with all of .29 attached.
Seven marks in a week, one guess written before the first of them: if Sunday’s count is three below the guess, that gap is the finding.