The cognitive reflection test is robust to multiple exposures
Why this work is in the frame
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Bibliographic record
Abstract
The cognitive reflection test (CRT) is a widely used measure of the propensity to engage in analytic or deliberative reasoning in lieu of gut feelings or intuitions. CRT problems are unique because they reliably cue intuitive but incorrect responses and, therefore, appear simple among those who do poorly. By virtue of being composed of so-called "trick problems" that, in theory, could be discovered as such, it is commonly held that the predictive validity of the CRT is undermined by prior experience with the task. Indeed, recent studies have shown that people who have had previous experience with the CRT score higher on the test. Naturally, however, it is not obvious that this actually undermines the predictive validity of the test. Across six studies with ~ 2,500 participants and 17 variables of interest (e.g., religious belief, bullshit receptivity, smartphone usage, susceptibility to heuristics and biases, and numeracy), we did not find a single case in which the predictive power of the CRT was significantly undermined by repeated exposure. This occurred despite the fact that we replicated the previously reported increase in accuracy among individuals who reported previous experience with the CRT. We speculate that the CRT remains robust after multiple exposures because less reflective (more intuitive) individuals fail to realize that being presented with apparently easy problems more than once confers information about the task's actual difficulty.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.039 | 0.079 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it