R0055/2026-04-01/C001 — ACH Matrix¶
Matrix¶
| H1: Accurate as stated | H2: Partially correct | H3: Materially wrong | |
|---|---|---|---|
| SRC01-E01: AI affirms users 49% more than humans | + | ++ | -- |
| SRC01-E02: Users prefer sycophantic AI, 13% more likely to return | + | ++ | -- |
| SRC02-E01: Models sided with wrong users 51% of time | + | + | -- |
Legend:
- ++ Strongly supports
- + Supports
- -- Strongly contradicts
- - Contradicts
- N/A Not applicable to this hypothesis
Diagnosticity Analysis¶
Most Diagnostic Evidence¶
| Evidence | Why Diagnostic |
|---|---|
| SRC01-E02 | Separates user preference (13%) from AI behavior frequency (49%), discriminating between H1 and H2 |
Least Diagnostic Evidence¶
| Evidence | Why Non-Diagnostic |
|---|---|
| SRC02-E01 | Confirms the same finding as SRC01, adding no discriminatory power |
Outcome¶
Hypothesis supported: H2 — The claim is partially correct. Users do prefer agreeable AI, and a ~50% figure exists, but the claim conflates AI endorsement frequency with user preference magnitude.
Hypotheses eliminated: H3 — Eliminated by strong evidence that users prefer agreeable AI and that a ~49% figure is documented.
Hypotheses inconclusive: H1 — The "approximately 50%" is defensible as a rough approximation but imprecise as a characterization of user preference.