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Category: Laws
Type: Online interaction heuristic (named aphorism)
Origin: Named after Ward Cunningham; popularized as an internet-culture principle
Also known as: McGeady’s formulation of Cunningham’s advice (informal)
Quick Answer — Cunningham’s Law is the observation that the fastest way to get a correct answer online is sometimes to post a wrong one, because people are strongly motivated to correct errors. It is not an endorsement of dishonesty: it describes incentive structure in crowds, forums, and workplaces. Use it to design better questions, feedback channels, and review systems—not to manipulate people.

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What is Cunningham’s Law?

Cunningham’s Law names a recurring pattern in public, networked conversation: corrections can arrive faster than helpful answers to neutral questions, partly because error triggers status, identity, and clarity motives that a plain question may not. The idea is used in software communities, moderation theory, and teaching—always alongside ethics, because weaponized wrongness wastes trust.
Corrections seek an audience; questions seek a volunteer.
It sits near Brandolini’s Law (refutation can cost more than fabrication—different axis) and bikeshedding (easy topics attract disproportionate energy). Unlike Hanlon’s Razor, it does not explain motives—only response dynamics.

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Cunningham’s Law in 3 Depths

  • Beginner: Notice when a slightly off detail draws instant fixes, while a vague question lingers unanswered.
  • Practitioner: In reviews and RFCs, offer a straw proposal you are willing to revise—invite concrete corrections without pretending certainty.
  • Advanced: Shape systems—templates, pair review, “most likely wrong” drafts—that harness correction energy without rewarding disinformation.

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Origin

The maxim is widely stated as: the best way to get the right answer on the internet is not to ask a question; it’s to post the wrong answer. It is named after Ward Cunningham, creator of the wiki concept. Steven McGeady, a former colleague, is commonly credited with naming “Cunningham’s Law” and recounting early-1980s advice about Usenet-style forums; the formulation later spread through tech culture and general internet discussion. Cunningham himself has distanced himself from some popular phrasings, treating them as error-prone memes—so treat the law as a social heuristic, not a personal quote engraved in stone.

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Key Points

Treat the law as a description of incentives, not a license to mislead.
1

Correction is socially salient

Errors threaten shared reality; fixing them can feel urgent and rewarding compared with writing an original answer from scratch.
2

Questions vary in cost to answer

Good answers may require research, tools, or responsibility; a wrong claim can be debunked from memory in one paragraph.
3

Ethics dominate tactics

Deliberately spreading false claims to farm corrections corrodes trust and can harm bystanders—especially in health, safety, and politics.
4

Design beats provocation

Pair programming, draft PRs, and labeled “hypothesis” documents capture the same fast feedback without pretending facts.

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Applications

Use the pattern to elicit expertise without exploiting readers.

Engineering & product

Share a minimal repro plus a wrong guess labeled as such to pull specific critiques faster than “thoughts?”

Education

Use structured mistakes in exercises where the class knows the format—never surprise-stunt learners with disinformation.

Community moderation

Pin clear “how to report errors” paths so corrections land as data, not pile-ons.

Research & writing

Circulate a deliberately incomplete outline to surface citations people care about—distinct from fabricating results.

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Case Study

The law’s modern visibility tracks named articulation in public writing rather than a laboratory measurement. Reporting and community sources credit Steven McGeady with popularizing the eponymous label in connection with Cunningham, including discussion in a 2010 New York Times “Schott’s Vocab” blog context—an externally datable milestone for when the name entered wider discourse. That timeline matters: the underlying behavior (people correcting mistakes) is ancient, but searchable documentation of the branded principle clusters in the early 2010s, alongside growth of Stack Overflow–style venues where fast correction is a reputation currency.

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Boundaries and Failure Modes

Boundary 1: Good-faith questions still work
Experts often answer clear, respectful questions quickly—especially in niche communities with shared norms. Boundary 2: Corrections can be wrong too
Pile-ons amplify confident mistakes; popularity is not accuracy. Common misuse: Posting knowingly false claims to “win” engagement—this trains audiences to distrust you and can cause real harm.

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Common Misconceptions

Clarify what the law is not.
Reality: The useful core is incentive design; ethical practice avoids deceptive statements and labels uncertainties.
Reality: Many contexts reward well-framed questions; the law describes frequency, not universality.
Reality: Heat can reflect identity conflict, not epistemic quality—pair engagement with verification.
Link these when reasoning about online knowledge production.

Brandolini's Law

Refuting nonsense can cost far more than producing it—pair incentives carefully.

Sturgeon's Law

Most content is low quality—corrections must be triaged, not infinite.

Bikeshedding

Trivial issues attract outsized discussion—watch what energy follows errors.

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One-Line Takeaway

Harvest fast feedback with labeled drafts and crisp questions—never substitute manipulation for inquiry.