# kaal:claim:7456999-011

**Claim.** The cohort does not show that the highest-record selector beats shipping an artifact that passes the visible checks because the measured margin is 0.037 and its interval contains zero.

**Type.** failure  **Support.** evidenced

**Holds when.**

- the highest-record and passes-the-checked-cases selectors in the measured cohort

**Source quote.**

> The highest-record selector has not been shown to beat the alternative a competent engineer would actually deploy, which is to ship whatever satisfies the checks already in hand. The point estimate favors the record by 0.0374 across twenty-two specifications, with a ninety-five percent interval of [-0.102, +0.176], winning nine, losing seven and tying six. The interval contains zero and one specification is worth 0.045.

**From.** Wulf A. Kaal, *Reinforcement Learning from Reputation Feedback* (2026), V.A.4 What the cohort does not show, stated at the same volume, page 22

**Cite as.** Wulf A. Kaal, Reinforcement Learning from Reputation Feedback (2026). SSRN: https://ssrn.com/abstract=7456999

**Verify.** sha256 of source PDF `01016fbbcc25cad205cebd59ea686d8dfee8ae9b632095d86ba6c9a900456a4b` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202026%20-%20Reinforcement%20Learning%20from%20Reputation%20Feedback.pdf

**Topics.** empirical-evidence, research-methods, ai-and-agents

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.