What the thing is
A 2004 book by James Surowiecki that defines ‘wise crowds’ as groups whose aggregated judgments outperform individuals—when certain structural conditions hold.
Where it came from
It builds directly on Francis Galton’s 19th-century county fair experiment, cited as its opening anecdote. It also references Charles Mackay’s 1841 work—but does not claim continuity or influence from it.
What it gets right
It correctly identifies diversity, independence, decentralisation, disagreement, and functional aggregation as necessary conditions for crowd intelligence. It shows how median-based estimation—like Galton’s ox—can outperform individuals.
What it gets wrong
It conflates statistical accuracy in narrow estimation tasks with broader ‘wisdom’. It offers no testable definition of ‘irrational’ crowds beyond failure modes it names post hoc. It treats markets and democracies as equivalent aggregation systems without addressing power, exclusion, or incentive distortion.
Why it matters now
Its criteria remain useful for diagnosing failures in algorithmic aggregation, prediction markets, and participatory platforms—especially where independence is eroded by algorithmic homogenisation or social media feedback loops.
Is it worth your time
Yes—if you need a concise, mechanism-focused framework for when collective judgment works, and are prepared to discard its overreach.
