Cunningham's Law
A reader's summary of the internet adage that the fastest way to get a correct answer online is to post a confidently wrong one — its murky origin in the early wiki community, the secondhand quote that carried it into general use, and why it works as folk wisdom about provocation rather than as an evidenced law of discourse.
The law at a glance
Cunningham's Law states: “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 circulates as a wry piece of internet folklore explaining why forum threads, comment sections and group chats seem to produce more engaged, more accurate replies to a bad take than to a sincere question — and why some people deliberately post something wrong to bait the correction they actually want.
Origin
The line is attributed to Ward Cunningham, the American programmer who created WikiWikiWeb in 1995 — the first wiki, and the software pattern that Wikipedia and every later wiki descend from. Cunningham spent the following years running and observing WikiWikiWeb's community, where anyone could edit any page instantly, and noticed that a page containing a clear factual error tended to get corrected far faster than a page that was simply thin or unfinished — a confident wrong statement drew a fixer; an honest gap in the record often didn't.
History and context
The attribution rests on a secondhand account: writer and technology executive Steven McGeady later recalled Cunningham describing the idea to him in conversation, and it was McGeady's retelling — not a Cunningham publication, talk or interview on record — that fixed the now-standard wording. From there the line spread through programming culture in the 2000s alongside the rise of Wikipedia, Stack Overflow and technical mailing lists, communities where the edit-to-correct dynamic Cunningham had observed on wikis was visibly alive in a new form: a wrong answer on Stack Overflow drew a correcting answer within minutes, often faster than a well-phrased open question would draw any answer at all. By the 2010s the phrase had detached from wikis entirely and become a general-purpose internet aphorism, cited on social media, in marketing advice about “engagement bait,” and in arguments about why certain trolling behavior works.
Main ideas
Ward Cunningham invented the wiki, not (provably) the line
Ward Cunningham built WikiWikiWeb in 1995, the first wiki and the direct ancestor of Wikipedia's editing model, and spent years observing that wiki pages with wrong information got fixed faster than pages that were merely incomplete — but there is no known contemporaneous citation of him stating the line in the exact words now attributed to him.
The attribution comes from a secondhand account
The earliest documented sourcing traces to writer Steven McGeady, who recalled Cunningham telling him the idea in conversation and wrote it up years later — meaning the canonical wording is a paraphrase reported by someone else, not a quotation from a paper or talk.
It names a real moderation dynamic on early wikis
On WikiWikiWeb and early Wikipedia, an assertively wrong edit reliably drew an editor's attention and a correction within minutes, while a blank or vague stub could sit unedited for months — the asymmetry Cunningham is credited with noticing was specific to open, low-friction, edit-in-place text, not discourse generally.
It got repurposed as a debate and marketing tactic
Outside wikis, the "law" is now invoked as a deliberate technique — post a confident wrong answer on a forum, in a support thread, or in a tweet to bait a correction that supplies the real answer for free — a use closer to intentional provocation than to Cunningham's original observation about how wiki pages happen to get fixed.
It rhymes with, but isn't, Muphry's Law
Muphry's Law — any post criticizing others' writing will itself contain an error — is a separate, jokier internet coinage from the same era about self-correcting overconfidence; the two are frequently confused because both describe error and correction as social forces online, but Muphry's Law is about the critic, Cunningham's about the crowd.
No study has measured whether it holds outside wikis
Unlike named cognitive-bias effects with an experimental paper behind them, Cunningham's Law has never been tested as a general claim about forums, social media or comment sections — its spread rests entirely on its being a satisfying, quotable description of something people recognize, not on data showing wrong answers reliably outperform questions at extracting correct ones.
Critique
- The attribution is unverified. No primary source has Cunningham stating the line himself; the wording that circulates is McGeady's paraphrase of a private conversation, reported years after the fact.
- It was observed on a very specific medium. WikiWikiWeb let anyone edit a shared page in place with essentially no friction — a structural feature that makes “fix the error you see” nearly costless. Forums, comment sections and social media replies don't share that structure, so the dynamic may not transfer cleanly to the platforms that now invoke the law.
- It has never been tested as a general claim. There is no study comparing correction rates and speed for wrong statements versus sincere questions across forums at scale — the law persists because it is a satisfying, quotable description of a pattern people recognize anecdotally, not because anyone has measured it.
- As a deliberate tactic it has real costs. Posting wrong information on purpose to bait a correction also adds one more wrong statement to the public record before anyone corrects it — a cost that matters more on platforms with weak moderation and low visibility for the eventual correction than it did on a wiki page where the fix simply overwrites the error.
Impact
Cunningham's Law is now a stock explanation reached for whenever someone notices that provocation outperforms sincerity at extracting engagement — the same instinct behind rage bait and the deliberate posting of a wrong or inflammatory take to farm corrections and replies. Where rage bait is optimized for volume of reaction, Cunningham's Law specifically claims the replies will be more accurate than what a plain question would have drawn — a narrower and more interesting claim, and one considerably harder to verify than the adage's constant citation suggests.