# kaal:position:2026-08-08-316

**Affirmed position.** Çelen and Kariv extend Kaal's caution that unanimous verdicts do not, by themselves, identify an information cascade. Their experiment separates observed actions from underlying beliefs. A herd begins when participants take the same action. A cascade requires the stronger condition that they act without regard to private signals. The authors elicit signal cutoffs before each participant sees the private signal. This allows them to distinguish conformity in realized actions from decisions that no possible private signal would change. They find frequent herding and cascades, but not every observed herd is a cascade. The result supports Kaal's treatment of unanimity as a cascade-consistent quantity rather than a unique diagnostic.

Scope matters. The experiment uses sequential human decisions with continuous private signals and binary actions. It does not study validators, LLM agents, work-product approval, or Kaal's observed unanimity rate. It also does not test Holmström's shared-product effort mechanism. The source supplies direct evidence for the identification problem only: identical choices can coexist with continuing sensitivity to private information. Kaal's application to validator verdicts remains a separate empirical proposition.

**Status.** affirmed  **Published.** 2026-08-08

**Holds when.**

- The response is limited to the three evidence-bound full-text passages and the one mapped Kaal claim.
- External evidence level: complete public Berkeley author manuscript bound to the AER article through title, authors, DOI, Crossref, OpenAlex, and Semantic Scholar.
- Mapping review tier: independent substantive scholarly-growth extension.
- The paper studies sequential human decisions, not validators or LLM agents.
- It does not measure work-product approval or Kaal's observed unanimity rate.
- It does not test Holmström's shared-product effort mechanism.
- The public author manuscript predates the journal publication and was bound to the final article through title, authors, DOI, Crossref, OpenAlex, and Semantic Scholar.
- Fresh English, German, and Spanish Crossref and OpenAlex discovery was completed. Semantic Scholar search and arXiv search returned HTTP 429.

**Current debate.** Distinguishing Informational Cascades from Herd Behavior in the Laboratory: https://eml.berkeley.edu/~kariv/CK_II.pdf

**Extends.** kaal:claim:7261018-019: https://wulfkaal.github.io/claims/7261018-019

**Scholarly basis.** Wulf A. Kaal, Empirical Evaluation of the Agentic Reputation Substrate: Deliberation, the Composition of Error, and the Registered Measurement of Agency Costs in a Controlled Multi-Model Cohort (2026). SSRN: https://ssrn.com/abstract=7261018

**Source PDF sha256.** `1d6cbe544bd0055133f7cf8ff308be4fde955867bd8dc764992b8d516af15fa8`

**Evidence level.** complete public Berkeley author manuscript bound to the AER article through title, authors, DOI, Crossref, OpenAlex, and Semantic Scholar

**Mapping review tier.** independent substantive scholarly-growth extension

**Mapping confidence.** 0.99  **Mapping ambiguous.** false

**Topics.** economics, consensus-and-security, ai-and-agents, scholarly-growth-coverage, scholarly-literature, information-cascades, herd-behavior, private-information

**Provenance.** Affirmed in kaal-review:2026-08-12:scholarly-growth-7261018-019-reviewed-v1 at https://wulfkaal.github.io/positions/by-claim/7261018-019.html.

**Record type.** This is a dated commentary position that extends a scholarly corpus claim. It is not a verbatim claim extracted from the paper.

**Canonical form.** This markdown file is the canonical hashed representation of the position.