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A solution to the single-question crowd wisdom problem.

Dražen Prelec1,2,3, H Sebastian Seung4, John McCoy3

  • 1Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.

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The wisdom of the crowd is powerful, but democratic voting has limitations. A new method, selecting answers more popular than predicted, outperforms traditional methods for complex problem-solving.

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Area of Science:

  • Social Sciences
  • Decision Science
  • Collective Intelligence

Background:

  • The concept of 'wisdom of the crowd' suggests collective judgment surpasses individual expertise.
  • Online voting systems are increasingly used for forecasting, policy, and expert evaluation.
  • Traditional democratic voting methods, while simple, can favor common knowledge over specialized insights.

Purpose of the Study:

  • To address the limitations of democratic voting in collective intelligence.
  • To propose and validate an alternative algorithm for extracting wisdom from crowds.
  • To demonstrate the superiority of the proposed method over existing approaches.

Main Methods:

  • Proposed a novel voting principle: select answers predicted to be more popular than they are.
  • Analyzed voter behavior under reasonable assumptions.
  • Compared the proposed method against 'most popular' and 'most confident' principles.

Main Results:

  • The proposed 'more popular than predicted' principle yields optimal answers under tested assumptions.
  • Standard 'most popular' and 'most confident' methods fail under the same assumptions.
  • The new method is robust and applicable to diverse decision-making scenarios.

Conclusions:

  • The proposed voting principle offers a more reliable way to harness collective intelligence.
  • This method overcomes the bias towards shallow information inherent in democratic voting.
  • The approach has broad applicability beyond machine learning and psychometrics, including scientific and legal disputes.