Back to Library

Quadratic Voting

Participants express preference intensity by allocating voice credits across choices, with vote costs increasing quadratically with the number of votes cast.

Quadratic Voting (QV) combines democratic value-setting with market-based preference expression through a credit allocation system. Participants receive a budget of "voice credits" which they can distribute across different proposals or choices. The key innovation is that the cost of votes increases quadratically - one vote costs one credit, two votes cost four credits, three votes cost nine credits, and so on. This creates a natural balancing mechanism where expressing strong preferences on one issue requires sacrificing influence on others. The system translates allocated credits into counted votes by taking their square root, ensuring that marginal costs increase with voting power.

The term was coined by Glen Weyl in 2005 and later refined in collaboration with Eric Posner in 2013, although it became popularized through their 2018 book Radical Markets. In traditional voting systems, a majority can dominate decisions even if the minority feels much more strongly about the issue. The mechanism aims to directly address the “tyranny of the majority” by giving individuals the ability to express the intensity of their preferences, rather than just casting a single vote. In blockchain, QV has been implemented by projects like Axelar and Proof of Humanity to improve governance decisions. Notable real-world applications include the Colorado State Democratic Caucus, Taiwan, Leipzig (Germany), Gramado (Brazil).

Advantages

  • Preference Intensity: Allows voters to express how strongly they feel about issues rather than just binary choices.
  • Minority Protection: Prevents tyranny of the majority by giving passionate minorities a way to demonstrate conviction through credit allocation.
  • Self-Balancing: Creates natural equilibrium between broad but shallow support and narrow but deep conviction.

Limitations & Risks

  • Sybil Attacks: Becomes vulnerable when users can split their tokens across multiple wallets, effectively circumventing the quadratic cost mechanism.
  • Transferability: Permitting the transfer of credits risks creating market dynamics where wealthier participants can purchase influence, undermining equity.
  • Asymmetric Information: When a minority holds superior information and opposing interests, they may strategically exploit QV to overpower less-informed majorities, leading to inefficient outcomes.

Design Considerations

  • Credit Budget: Choose between time-based regeneration (e.g., recurring credits per governance cycle) or fixed allocations per voting event. Consider non-transferable credits to prevent vote markets and credit decay to encourage regular participation.
  • Cost Function: Adjust vote scaling beyond quadratic if needed.
  • Plural Voting: Implement correlation discounts to prevent Sybil attacks by reducing the influence of highly coordinated voting patterns.

Examples

US Democratic Caucus of the Colorado House of Representatives

In Spring 2019, the Colorado Democratic Caucus introduced quadratic voting in their State House of Representatives to prioritize budget allocation and legislative decisions. Each of the 41 caucus members received 100 virtual tokens to allocate across bills, with voting power scaling quadratically. The Equal Pay for Equal Work Act emerged as the top priority with 3,600 quadratic votes, followed by healthcare measures securing five of the top ten positions. However, in January 2025, a Denver District Court judge ruled that the system violated Colorado's open meetings laws due to its secret ballot nature, despite lawmakers arguing that final appropriations bills still required public hearings and debates.

Axelar Network

The protocol implemented quadratic voting in their "Maeve" upgrade to improve cross-chain security and decentralization in its proof-of-stake network. A validator’s voting power is proportional to the square root of their stake, making it progressively harder for validators to accumulate excessive influence as their stake increases. This mechanism ensures that smaller validators retain a meaningful voice, enhancing the decentralization and security of cross-chain transaction validation. Validators must collectively coauthorize cross-chain requests based on this quadratic-weighted voting, preventing domination by validators with large stakes while maintaining robust network liveness and safety.