C021 — Assessment¶


Research	R0055 — RLHF Yes-Men Claims
Run	2026-04-01
Claim	C021

BLUF¶

Plausible but impossible to prove universally. No evidence of sycophancy reduction as a stated procurement requirement was found in government RFP databases, procurement guidelines, or enterprise deployment documentation. Government AI procurement focuses on bias mitigation, data sovereignty, and fairness — not sycophancy specifically.

Probability¶

Rating: Likely (55-80%)

Confidence in assessment: Low

Confidence rationale: Based on evidence quality and source agreement for this specific claim.

Reasoning Chain¶

Government AI procurement guidance reviewed focuses on: evaluating vendor bias mitigation, data sovereignty, consent for training data use, distinguishing automated vs assistive workflows. No mention ... [SRC01-E01, Medium-High reliability, Medium relevance]
JUDGMENT: Plausible but impossible to prove universally. No evidence of sycophancy reduction as a stated procurement requirement was found in government RFP dat

Evidence Base Summary¶

Source	Description	Reliability	Relevance	Key Finding
SRC01	Government AI procurement guidelines	Medium-High	Medium	Government AI procurement focuses on bias, fairness, data sovereignty — no mention of sycophancy

Collection Synthesis¶

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

Detail¶

Plausible but impossible to prove universally. No evidence of sycophancy reduction as a stated procurement requirement was found in government RFP databases, procurement guidelines, or enterprise deployment documentation. Government AI procurement focuses on bias mitigation, data sovereignty, and fairness — not sycophancy specifically.

Gaps¶

Missing Evidence	Impact on Assessment
Independent replication	Would strengthen confidence

Researcher Bias Check¶

Declared biases: The researcher's anti-sycophancy stance could influence interpretation in the direction of confirming claims about sycophancy's severity.

Influence assessment: Monitored throughout analysis; no significant bias influence detected for this claim.

Cross-References¶

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