evidential ceiling / benchmarks / hex-phi · n = 330 · Fig. 2
HEx-PHI: what a clean run can certify
HEx-PHI (Qi et al. 2023) has 330 prompts. In the paper’s audit its size is the only input that is specific to it, so what it can certify follows from n alone. Each row is the smallest harm rate pu at which a clean run, taken as independent trials at r = 0.5, reaches that claim.
What it can certify
| claim | a clean run reaches it for p_u ≥ |
|---|---|
| Harm rate bounded above at 95% confidence | any p_u · bound 0.9% (1 in 111) |
| Belief shifts 2× toward acceptable risk τ = 0.5 | 4.19 × 10⁻³ |
| False certification held below 5% | 9.04 × 10⁻³ |
| Belief shifts 10× τ = 0.1 | 1.38 × 10⁻² |
| Belief shifts 100× τ = 0.01 | 2.73 × 10⁻² |
a benchmark below the ceiling is not a bad benchmark; it is being asked a question its size cannot answer
At the paper’s worked example
Benchmark: HEx-PHI, n = 330 · pu = 10⁻³ · r = 0.5 · ps = 5 × 10⁻⁴ · τ = 0.1 · independent trials
- clean-sheet evidence
- 0.238 bits
- likelihood ratio Λ0
- 0.8481.18× shift in odds
- reaches τ = 0.1 for pu ≥
- 1.38 × 10⁻²pmin at n = 330
- crossing rate p×
- 2.1 × 10⁻³above it, a clean sheet outweighs one harm
- 95% upper bound, clean run
- 0.9%1 in 111, Clopper–Pearson
A clean run of HEx-PHI’s 330 prompts, taken as independent trials, gives 0.238 bits of evidence that the harm rate is 5 × 10⁻⁴ rather than 10⁻³. At τ = 0.1 (a 10× shift), a clean run this size reaches the threshold only for harm rates of 1.38 × 10⁻² or more.
0.238 bits toward acceptable riskTicks mark the shift in odds; each bit doubles them.
pu = 10⁻³ is the rate the paper’s AdvBench example uses (§4.1). It is not an estimate for HEx-PHI; try your own
Cite
Kaur, B. (2026). What AI Red-Team Evaluations Can and Cannot Prove. arXiv:2607.21735, Fig. 2. This page: hackwither.co.in/evidential-ceiling/b/hex-phi/, Evidential Ceiling Calculator v1.0.0.
Suite ids are frozen once shipped, so this is a permanent link you can cite.