Across-subject correlation between confidence and accuracy: A meta-analysis of the Confidence Database

• Published in: Psychonomic bulletin & review Vol. 29; no. 4; pp. 1405 - 1413
• Main Authors: Jin, Sunny, Verhaeghen, Paul, Rahnev, Dobromir
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2022
• Subjects: Behavioral Science and Psychology; Brief Report; Cognitive Psychology; Data Collection; Friends; Humans; Judgment; Metacognition; Psychology; Trust; Perceptual decision making; Confidence; calibration; Memory; Bias; Metacognition
• ISSN: 1069-9384; 1531-5320; 1531-5320
• DOI: 10.3758/s13423-022-02063-7

If one friend confidently tells us to buy Product A while another friend thinks that Product B is better but is not confident, we may go with the advice of our confident friend. Should we? The relationship between people’s confidence and accuracy has been of great interest in many fields, especially in high-stakes situations like eyewitness testimony. However, there is still little consensus about how much we should trust someone’s overall confidence level. Here, we examine the across-subject relationship between average accuracy and average confidence in 213 unique datasets from the Confidence Database. This approach allows us to empirically address this issue with unprecedented statistical power and check for the presence of various moderators. We find an across-subject correlation between average accuracy and average confidence of R = .22. Importantly, this relationship is much stronger for memory than for perception tasks (“domain effect”), as well as for confidence scales with fewer points (“granularity effect”). These results show that we should take one’s confidence seriously (and perhaps buy Product A) and suggest several factors that moderate the relative consistency of how people make confidence judgments.