# kaal:claim:7261481-008

**Claim.** Verification does not eliminate asymmetry, because the cohort’s aggregate judgment is itself an estimator with finite variance, and Part VI.C reports a first measurement of exactly how wrong the naive estimator can be.

**Type.** condition  **Support.** argued

**Holds when.**

- cohort judgment as a finite-variance estimator

**Source quote.**

> Verification does not eliminate asymmetry, because the cohort’s aggregate judgment is itself an estimator with finite variance, and Part VI.C reports a first measurement of exactly how wrong the naive estimator can be.

**From.** Wulf A. Kaal, *Computative Economics: A Framework for Economic Analysis under Computational Abundance* (2026), II.D. Information Economics: Asymmetry as Permanent Feature, page 9

**Cite as.** Wulf A. Kaal, Computative Economics: A Framework for Economic Analysis under Computational Abundance (2026). SSRN: https://ssrn.com/abstract=7261481

**Verify.** sha256 of source PDF `78c42db521624f7398717732a7fa51a6e3157a5adf02a2e09fbab15e0cf920d9` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202026%20-%20Paper%204%20-%20Computative%20Economics%20A%20Framework%20for%20Economic%20Analysis%20under%20Computational%20Abundance.pdf

**Topics.** economics, research-methods

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