Philosophy, Law & Politics
Section 1
Core Idea
Futarchy is a proposed governance system where we "vote on values, bet on beliefs." Citizens define the goals they care about through democratic processes, then prediction markets determine the policies most likely to achieve those goals. The logic is that markets aggregate dispersed information more efficiently than debates, committees, or elections. When people risk real money on their beliefs about policy outcomes, cheap talk evaporates and informed opinions dominate. Robin Hanson proposed futarchy as a solution to the core problem of democratic governance: voters are good at expressing what they want but bad at evaluating which policies will deliver it. By separating values (democratic) from means (market-driven), futarchy promises more rational policy selection — though it raises hard questions about market manipulation, thin markets, and the difficulty of specifying measurable outcomes.
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Section 2
How to See It
Corporate Strategy
You're seeing it when a company creates internal prediction markets where employees bet on whether a product launch will hit targets — using financial incentives to surface honest assessments that status meetings suppress.
Technology Governance
You're seeing it when a blockchain protocol uses token-weighted prediction markets to decide between competing upgrade proposals, with market prices reflecting the community's aggregate assessment of which approach will increase network value.
Policy
You're seeing it when a government pilot program ties policy decisions to measurable outcome metrics — committing in advance to adopt whichever approach the data shows works best, rather than letting political negotiation determine the winner.
Section 3
How to Use It
Apply futarchy logic wherever you need to separate what matters from what works. Let stakeholders define success metrics democratically, then use information-aggregation mechanisms — prediction markets, structured bets, conditional forecasts — to evaluate which strategies are most likely to achieve those metrics. The key is specifying outcomes precisely enough that they can be measured and settled, and ensuring participants have skin in the game.
Decision filter
"Have we clearly separated the question of 'what do we want to achieve' from 'which approach will get us there' — and are we using the right mechanism for each?"
As a founder
Run internal prediction markets or structured forecasting exercises on key strategic bets — new market entry, pricing changes, product launches. When employees have to put points or reputation on the line, the information quality of your strategic discussions will improve dramatically.
Section 5
Founders & Leaders
Jeff BezosFounder of Amazon
Bezos built Amazon's decision culture around a principle that mirrors futarchy: define the customer value metric clearly, then let data — not opinion — determine the best path. His insistence on measurable outcomes, six-page memos with falsifiable claims, and "disagree and commit" culture functionally separates values from beliefs about implementation. Amazon's internal experimentation culture, running thousands of A/B tests simultaneously, is a practical form of betting on beliefs. The company doesn't debate whether a feature will work — it tests and measures. For founders, Bezos demonstrates that futarchy's core insight scales without formal prediction markets: commit to measurable goals and let evidence, not authority, settle strategic disputes.
Section 7
Connected Models
Builds-on
Mechanism Design
Mechanism design engineers rules to produce desired outcomes from self-interested participants. Futarchy is a specific mechanism design proposal — using market incentives to aggregate information about policy outcomes more efficiently than voting.
Extends
Wisdom of Crowd
Wisdom of crowd shows that aggregated independent judgments can outperform experts. Futarchy adds financial incentives — prediction markets don't just aggregate opinions, they weight them by conviction and penalize overconfidence.
Warns-against
Goodhart's Law
Goodhart's Law states that when a measure becomes a target, it ceases to be a good measure. Futarchy is vulnerable — if participants can manipulate the outcome metrics that prediction markets are pegged to, the system breaks.
Section 8
One Key Quote
— Robin Hanson"Vote on values, but bet on beliefs."
Section 11
Summary & Further Reading
Futarchy separates democratic values from evidence-based policy selection, using prediction markets to determine which approaches best achieve democratically chosen goals. The core insight — separate what matters from what works — applies to governance at any scale.
01
Paper
The original proposal for futarchy, detailing how prediction markets could improve governance by separating values from beliefs.
02
Book
On Amazon's culture of measurable outcomes, experimentation, and data-driven decision-making — futarchy logic in practice.
03
Book
On how aggregated independent judgments produce better predictions than experts — the empirical foundation for prediction markets.