Claims

People are well-calibrated about their own independent completion times

Claim · All claims
Evidence · 1 study · causal r3 · q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

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? Predicted and actual independent completion times did not differ significantly, indicating accurate self-calibration. → Sunny Yu 2026

Evidence

Sunny Yu 2026

Sunny Yu, Myra Cheng, Ahmad Jabbar, Ilia Sucholutsky, Katherine M. Collins, Dan Jurafsky, Robert D. Hawkins. (2026). Cognitive offloading and the speedup illusion in human-AI interaction. arXiv. https://arxiv.org/abs/2605.23177 doi:10.48550/arxiv.2605.23177

q3 · i? · causal · r3

In the same mixed-effects calibration analysis, the independent condition showed "no significant difference between the actual and predicted completion times" (β=−2.52, p=0.775). Two category-level exceptions were reported: underestimation for C2 and overestimation for C4, with no significant effect across difficulty levels.

"we found no significant difference between the actual and predicted completion times in the independent completion condition (β=−2.52,SE=8.83,z=−0.29 ,p=0.775), which suggests that people's predictions are generally accurate."

Discussion

Page metadata
Field Value
type claim
id accurate-independent-completion-time-predictions
title People are well-calibrated about their own independent completion times
description People are well-calibrated about their own independent completion times
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — sunny-yu-2026

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