Collective Intelligence: Group Decision-Making Benefits

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1. 28 July 2026 · corrected by Emir Baycan

   Qualified three overstated claims: softened ant-colony 'globally optimal foraging paths' to 'highly efficient, near-optimal' (not a provably global optimum); qualified 'prediction markets consistently outforecast individual experts' to 'frequently,' noting track record varies by market; and reframed Tetlock's forecasting-tournament findings as showing structured crowds can match or outperform many experts in specific tournaments rather than a universal law that diverse crowds always beat expert consensus. The Lorenz 2011 conformity study, the Physarum/Tokyo-rail-network experiment, and the diverse-teams/ensemble-methods claims were accurate and left in place.

   What the page claimed

   The article said ant colonies produce globally optimal paths, prediction markets consistently outperform experts, and Tetlock established a universal finding that crowds outperform expert consensus.

   What was corrected

   Qualified each claim to what the underlying research supports (near-optimal rather than global optimum; frequent rather than consistent outperformance; tournament-specific rather than universal).

   Why: These were reasonable summaries stated more absolutely than the research supports. Corrections add the appropriate qualifications rather than adding new sources.

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