General Thinking & Meta-Models
Section 1
Core Idea
Cunningham's Law (attributed to Ward Cunningham, inventor of the wiki) states that the best way to get the right answer on the internet is not to ask a question — it's to post the wrong answer. People are more motivated to correct errors than to answer questions from scratch. The model captures a deep asymmetry in human motivation: we're more energised by the urge to fix what's wrong than by the desire to help what's incomplete. For founders, this is a tool for extracting knowledge, feedback, and engagement — sometimes the fastest way to learn the truth is to be deliberately, usefully wrong.
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Section 2
How to See It
Product & Community
You're seeing it when a deliberately imperfect prototype or beta release generates more detailed feedback than any survey ever did. Users who wouldn't fill out a form will spend twenty minutes explaining what's wrong.
Team & Knowledge
You're seeing it when a proposed plan with a deliberate gap draws out expertise that a blank-page brainstorm never would. People correct more readily than they create from nothing.
Section 3
How to Use It
Use Cunningham's Law to extract information: ship imperfect drafts, propose intentionally incomplete plans, and let the correction impulse do the work. In product: beta releases and "wrong" prototypes generate richer feedback than surveys. In strategy: propose a flawed plan and let the team improve it rather than asking for plans from scratch. The key is making the "wrong" version specific and correctable, not so bad that it undermines trust.
Decision filter
"Would we learn more by asking for input from scratch, or by proposing something imperfect and letting people correct it?"
As a founder
Use the correction impulse strategically: ship early and imperfect to generate feedback, propose draft strategies to draw out team expertise, and post provocative takes to learn what the market actually thinks. Balance this with trust — be wrong on purpose sometimes, not by accident always.
Section 5
Founders & Leaders
Paul GrahamCo-founder, Y Combinator; essayist
Graham has built a career on writing provocative, sometimes deliberately simplified essays that draw out rigorous correction and debate. His writing isn't aimed at being definitively right — it's aimed at being specifically wrong enough to generate better thinking from the audience. Y Combinator itself embodies this: founders ship imperfect MVPs precisely to provoke the market into revealing what's actually needed. Founders can apply Cunningham's Law by shipping drafts (of products, strategies, ideas) that are good enough to be correctable but imperfect enough to trigger the correction reflex. The feedback is the product.
Section 7
Connected Models
Reinforces
Feedback Loops
Cunningham's Law accelerates feedback loops by making correction the entry point. Instead of waiting for unsolicited input, you trigger the loop by providing something to correct.
Tension
Social Proof
Social proof says people follow what others do. Cunningham's Law exploits the opposite impulse — people want to diverge from what's wrong. The tension: sometimes the "wrong" answer gets accepted as social proof instead of corrected.
Leads-to
The Socratic Method
Socrates asked questions to draw out knowledge. Cunningham's Law is the modern variant: provoke corrections instead of asking questions. Both use strategic ignorance or error to generate insight from others.
Section 8
One Key Quote
— Ward Cunningham (via Steven McGeady)"The best way to get the right answer on the internet is not to ask a question, it's to post the wrong answer."
Section 11
Summary & Further Reading
Cunningham's Law: people are more motivated to correct errors than to answer questions. Use it to extract feedback and knowledge by shipping imperfect drafts, proposing flawed plans, and letting the correction impulse do the work. Be specifically wrong to become precisely right.
01
Book
The collaborative philosophy behind wikis and correction-driven knowledge.
02
Book
Essays that demonstrate the Cunningham principle — provocative ideas designed to generate correction and refinement.