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R0057/2026-04-01/C030 — Assessment

BLUF

Confirmed. Cheng et al. (2026) in Science: users rate sycophantic responses 9-15% higher quality, show 13% greater return likelihood, report 6-8% higher performance trust, and 6-9% higher moral trust. These findings are from pre-registered experiments with 2,405 participants.

Probability

Rating: Almost certain (95-99%)

Confidence in assessment: High

Confidence rationale: Peer-reviewed in Science with pre-registered experiments and large sample sizes.

Reasoning Chain

  1. Pre-registered experiments with 2,405 participants found: sycophantic responses rated 9-15% higher quality in both studies; return likelihood increased 13%; performance trust rose 6-8%; moral trust increased 6-9%. Users consistently preferred and trusted sycophantic models despite worse prosocial outcomes. [SRC01-E01, High reliability, High relevance]

  2. JUDGMENT: Confirmed. Cheng et al. (2026) in Science: users rate sycophantic responses 9-15% higher quality, show 13% greater return likelihood, report 6-8% higher performance trust, and 6-9% higher moral trust. These findings are from pre-registered experiments with 2,405 participants.

Evidence Base Summary

Source Description Reliability Relevance Key Finding
SRC01 Cheng et al. (2026) Science study High High Users rate sycophantic AI 9-15% higher quality, 13% more return likelihood, 6-9% higher trust

Collection Synthesis

Dimension Assessment
Evidence quality High
Source agreement High
Source independence Medium
Outliers None identified

Detail

The evidence supports the assessment. Peer-reviewed in Science with pre-registered experiments and large sample sizes.

Gaps

Missing Evidence Impact on Assessment
Additional independent verification Would strengthen confidence

Researcher Bias Check

Declared biases: Anti-sycophancy bias could influence interpretation toward confirming sycophancy claims.

Influence assessment: Mitigated by reliance on peer-reviewed and primary sources.

Cross-References

Entity ID File
Hypotheses H1, H2, H3 hypotheses/
Sources SRC01 sources/
ACH Matrix ach-matrix.md
Self-Audit self-audit.md