C003¶


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

Claim: A 2026 mathematical framework proved that human labelers systematically prefer agreeable responses, creating a 'reward tilt' in preference data, which RLHF amplifies through optimization

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: Very likely (80-95%) | Confidence: High

Summary¶

Entity	Description
Claim Definition	Claim text, scope, status
Assessment	Full analytical product with reasoning chain
ACH Matrix	Evidence x hypotheses diagnosticity analysis
Self-Audit	ROBIS-adapted 5-domain audit

Hypotheses¶

ID	Hypothesis	Status
H1	Claim is accurate as stated	Inconclusive
H2	Claim is partially correct or correct with caveats	Supported
H3	Claim is materially wrong	Eliminated

Searches¶

ID	Target	Results	Selected
S01	mathematical framework sycophancy reward tilt RLHF	10	2

Sources¶

Source	Description	Reliability	Relevance
SRC01	Shapira et al. 2026	High	High

Revisit Triggers¶

Replication or refutation of Shapira et al. 2026; publication venue (journal acceptance)