A skewed jury theorem: more theorems in search of the truth


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KILINÇ B.

Synthese, cilt.206, sa.3, 2025 (SCI-Expanded, AHCI, SSCI, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 206 Sayı: 3
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1007/s11229-025-05125-0
  • Dergi Adı: Synthese
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Arts and Humanities Citation Index (AHCI), Social Sciences Citation Index (SSCI), Scopus, IBZ Online, Index Islamicus, Linguistic Bibliography, MathSciNet, MLA - Modern Language Association Database, Philosopher's Index, zbMATH, DIALNET
  • Anahtar Kelimeler: Judgment aggregation, Collective decision-making, Condorcet jury theorem, Minority opinion
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Boğaziçi Üniversitesi Adresli: Evet

Özet

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.