Year: 2025
Type: article
Abstract: I propose a ranking-based aggregation model utilizing quantiles, such as the median or first quartile. This approach is broader than most in existing literature, as it does not require competent individuals. It recovers the asymptotic convergence property of finite estimations in the Condorcet Jury Theorem as a special case. This procedure is radical in occasionally granting greater respect to minority opinions. An optimistic conclusion is that individual errors can be mitigated and the wisdom of crowds manifested through intelligent aggregation.
Source: Synthese
Author: Berna Kilinc
Institution: Boğaziçi University
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,190
OpenAlex ID: W4413273397
