Wisdom of Crowds

· 2 min · Quick read · Joost van der Laan

The wisdom of crowds is the finding that aggregating many independent, diverse judgments often produces an estimate more accurate than most individual experts could manage alone.

The idea

James Surowiecki popularized the idea in The Wisdom of Crowds, building on earlier observations such as Francis Galton’s 1907 finding that the median guess of a crowd at a county fair accurately estimated an ox’s weight, beating most individual guesses including experts’. The effect depends on specific conditions: contributors need diversity of opinion, independence from one another, decentralized local knowledge, and a mechanism to aggregate individual judgments into a collective one. Errors that are individually random tend to cancel out in aggregate, leaving the shared signal.

When to use it

How to apply it

  1. Collect judgments from a genuinely diverse and independent set of people.
  2. Make sure individuals form their estimate before seeing others’ answers, to preserve independence.
  3. Aggregate with a simple, transparent method (e.g. mean or median) rather than letting a subgroup dominate.

Watch out for

The effect collapses once independence breaks down — if people can see and copy each other’s answers, the crowd stops averaging out errors and instead converges on a shared bias, which is the mechanism behind social proof and herd behavior. A crowd that is not actually diverse (e.g. everyone with the same blind spot) will be reliably wrong together.

Sources

James Surowiecki, The Wisdom of Crowds (2004); Francis Galton, “Vox Populi” (Nature, 1907).