Email-detection confidence judgments show good calibration but poor resolution, with aggregate overconfidence of 18%¶
Claim · All claims
Evidence · 1 study · causalr2·q3
Currency · newest study 2019 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2022: tool and model accuracy changes quickly
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q3 i? Across two experiments, participants' mean confidence (85%) exceeded mean accuracy (67%), and calibration was generally good while resolution was very poor. → Casey Inez Canfield & Baruch Fischhoff & Alex Davis 2019
Evidence¶
Casey Inez Canfield & Baruch Fischhoff & Alex Davis 2019¶
Casey Inez Canfield & Baruch Fischhoff & Alex Davis. (2019). Better beware: comparing metacognition for phishing and legitimate emails. Metacognition and Learning. https://doi.org/10.1007/s11409-019-09197-5
q3 · i? · causal · r2
Pooled analysis of two experiments (152 mTurk and 98 SBO participants; 250 total) scoring detection judgments with the Brier decomposition. The article reports "aggregate overconfidence of 18%" and states calibration was generally good while "resolution was very poor."
"Across all questions and individuals, mean confidence was 85% ( SD =8 % ) . Mean accuracy was much lower at 67% ( SD = 11%), making for aggregate overconfidence of 18%"
Discussion¶
Related Claims¶
- Calibration is worse and resolution better for phishing emails than for legitimate emails — related
- Future anti-phishing interventions should measure both performance and metacognition, aiming to shift the phishing calibration curve toward the legitimate-email pattern — related
- Participants are consistently overconfident for phishing emails but relatively well calibrated for legitimate emails except at 100% confidence — related
- Phishing email difficulty varies widely (15–85% correct) while mean confidence varies little (80–90%), leaving some victims unaware they were fooled — a narrower finding that bears on this claim
- Individual and task factors fail to predict resolution, while perceived consequences predict calibration in opposite directions for phishing and legitimate emails — related
- Better resolution on the laboratory phishing task predicts lower odds of malicious files on participants' home computers — related
- Most preservice teachers were overconfident in the completeness of their fraction comparison explanations at both first draft and revision — a broader claim this one bears on
- A theoretical article, citing two simulation studies, reports that novice clinical learners overestimated their performance and that their confidence exceeded their accuracy — a broader claim this one bears on
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
phishing-metacognition-good-calibration-poor-resolution |
title |
Email-detection confidence judgments show good calibration but poor resolution, with aggregate overconfidence of 18% |
description |
Email-detection confidence judgments show good calibration but poor resolution, with aggregate overconfidence of 18% |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2019 |
recheck_by |
2022 |
generated |
by process:wiki-ingest on 2026-10-18 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — casey-inez-canfield-baruch-fischhoff-alex-davis-2019 |
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