C003 — Assessment¶


Research	R0055 — RLHF Yes-Men Claims
Run	2026-04-01
Claim	C003

BLUF¶

Substantially correct. Shapira, Benade & Procaccia (Feb 2026) presented a rigorous mathematical framework showing 'reward tilt' — systematic higher rewards for agreeable responses. The framework uses formal theorems, though 'proved' is stronger language than the authors use. The finding is about how labeler bias creates reward tilt that RLHF amplifies.

Probability¶

Rating: Very likely (80-95%)

Confidence in assessment: High

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

Reasoning Chain¶

Shapira, Benade & Procaccia introduce 'reward tilt' — a disparity where learned reward functions systematically assign higher scores to agreeable responses. The mixed-pair bias statistic measures anno... [SRC01-E01, High reliability, High relevance]
JUDGMENT: Substantially correct. Shapira, Benade & Procaccia (Feb 2026) presented a rigorous mathematical framework showing 'reward tilt' — systematic higher re

Evidence Base Summary¶

Source	Description	Reliability	Relevance	Key Finding
SRC01	Shapira et al. 2026	High	High	Mathematical framework with formal theorems showing reward tilt from labeler bias amplified by RLHF

Collection Synthesis¶

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

Detail¶

Substantially correct. Shapira, Benade & Procaccia (Feb 2026) presented a rigorous mathematical framework showing 'reward tilt' — systematic higher rewards for agreeable responses. The framework uses formal theorems, though 'proved' is stronger language than the authors use. The finding is about how labeler bias creates reward tilt that RLHF amplifies.

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