Quadratic Voting vs Token-Weighted Voting

Explore quadratic voting and token-weighted voting in web3 governance, their differences, applications, and how to choose the right model for your project.

Written by the Tokenomics.net team

May 26, 2025

Quadratic voting and token-weighted voting are two popular methods for decision-making in web3 governance. Both systems have unique strengths and challenges, and choosing the right one depends on your project's goals, community size, and decentralization needs.

Key Differences:

  • Quadratic Voting:

    • Balances power by making additional votes exponentially costly.

    • Encourages fairer representation for smaller stakeholders.

    • Captures the intensity of preferences but is more complex to implement.

  • Token-Weighted Voting:

    • Simple: 1 token = 1 vote.

    • Efficient for decision-making but risks power centralization among large token holders.

    • Easier to implement but doesn’t account for voter preference intensity.

Quick Comparison:

Aspect

Quadratic Voting

Token-Weighted Voting

Vote Calculation

Square root of credits allocated

1 token = 1 vote (linear)

Cost Structure

Exponentially increasing cost

No additional cost per vote

Power Distribution

Compressed through square-root scaling

Proportional to token holdings

Preference Expression

Intensity-based allocation

Binary support/opposition

Implementation

More complex

Simple and straightforward

Recommendation:
Use quadratic voting for fairer community-driven decisions and token-weighted voting for treasury management or routine operations. For large DAOs, consider a hybrid model to balance efficiency and inclusivity.

Video Explanation of Quadratic Voting and Quadratic Funding - Jonjon Clark

Key Differences Between Quadratic Voting and Token-Weighted Voting

The differences between quadratic voting and token-weighted voting go far beyond their mathematical underpinnings. These distinctions influence how decisions are made, how power is distributed, and how communities express their collective preferences. For web3 projects, understanding these variations is essential when selecting a governance model that aligns with their decentralization goals and values. Let’s break down these differences to better understand their mechanics, power dynamics, and how they allow participants to express their priorities.

Mathematical Framework and Voting Dynamics

The way each system calculates votes creates distinct voting behaviors. In token-weighted voting, participants receive one vote for every token they own. This simplicity makes the system easy to grasp and implement. For example, holding 1,000 tokens grants 1,000 votes - a direct, linear relationship.

Quadratic voting, on the other hand, introduces a more complex structure. Votes are determined by the square root of the credits spent. For instance, casting 3 votes requires 9 credits, while 4 votes require 16 credits. This escalating cost forces participants to weigh their decisions carefully, as allocating more votes to a single issue becomes increasingly expensive.

A real-world example of this can be seen in Gitcoin’s quadratic funding rounds. Here, community funds are distributed to support public goods and open-source projects, showcasing how quadratic voting reshapes decision-making and resource allocation.

Decentralization and Power Distribution

The two systems also differ in how they distribute power. Token-weighted voting tends to concentrate decision-making authority among large token holders. This often results in what’s referred to as a "concentration of power". For instance, in the ENS DAO, which uses token-weighted voting for Ethereum Name Service governance, larger stakeholders naturally have greater influence.

This imbalance can be stark. As of January 20, just four entities controlled over half (55.7%) of staked ether, highlighting how token-based systems can unintentionally lead to centralization, even in decentralized ecosystems.

Quadratic voting addresses this issue by curbing the linear scaling of voting power. The square-root cost function ensures that even when token holdings are concentrated, voting power does not expand proportionally. This approach gives smaller stakeholders a more meaningful voice. CityDAO exemplifies this by using quadratic voting to create more balanced participation within its community. Moreover, quadratic voting allows minority groups with strong preferences to make their voices heard, unlike token-weighted systems, which often amplify majority opinions regardless of intensity.

Expression of Voter Preferences

Another key distinction lies in how each system captures voter sentiment. Token-weighted voting operates on a binary model: participants use their tokens to signal either support or opposition to a proposal. However, this approach doesn’t account for the intensity of their preferences. Whether someone feels mildly supportive or passionately in favor, each token carries the same weight.

Quadratic voting, in contrast, allows for a more nuanced expression of voter priorities. Voters can allocate their credits across multiple issues, spending more on the topics they care about most. This encourages participants to think strategically about their allocations, leading to outcomes that better reflect their true priorities. Compared to the binary nature of token-weighted voting, this system captures the intensity of voter sentiment more effectively.

Aspect

Token-Weighted Voting

Quadratic Voting

Vote Calculation

1 token = 1 vote (linear)

Square root of credits allocated

Cost Structure

No additional cost per vote

Exponentially increasing cost

Power Distribution

Proportional to token holdings

Compressed through square-root scaling

Preference Expression

Binary support/opposition

Intensity-based allocation

Implementation

Simple and straightforward

More complex mathematical framework

Challenges and Considerations in Implementation

Implementing voting systems in web3 projects brings unique challenges that directly shape governance outcomes and community participation. Both quadratic voting and token-weighted voting offer distinct benefits, but their adoption comes with hurdles that range from technical infrastructure to user engagement. Addressing these challenges is key to selecting the right system.

Technical Complexity and Infrastructure

Token-weighted voting operates on a straightforward principle: the more tokens you hold, the more influence you have. This simplicity aligns well with existing blockchain architectures, requiring minimal adjustments. For example, platforms like ENS DAO have adopted token-weighted voting to manage decisions for the Ethereum Name Service, in part due to its ease of integration.

Quadratic voting, on the other hand, introduces significant technical demands. It relies on real-time square-root calculations, credit distribution, and advanced voting logic, all of which require robust infrastructure. Additionally, preventing manipulation through Sybil attacks necessitates high-quality identity verification systems, which can be both technically challenging and expensive to maintain.

Despite these obstacles, some projects have successfully implemented quadratic voting by investing in careful planning and advanced systems. However, the technical hurdles are only part of the equation - ensuring users can understand and engage with these systems is equally critical.

Voter Education and Usability

As technical complexity increases, simplifying the user experience becomes vital. Token-weighted voting is relatively intuitive - more tokens equal more influence - making it easy for participants to grasp and engage with immediately.

Quadratic voting, however, demands a deeper understanding. Users need to comprehend the square-root cost structure, learn how to allocate credits effectively, and recognize why focusing too many credits on a single issue becomes exponentially costly. For non-technical users, this learning curve can be a significant barrier.

In one instance, implementing quadratic voting required a specialized interface to guide participants through the credit allocation process. This highlights the need for educational resources and tools to help users navigate the system.

Low voter participation is a challenge for both systems, but quadratic voting faces additional hurdles due to its complexity. DAO platforms like DAOStack and Aragon have reported participation rates dropping below 10%. When a voting mechanism requires extensive education and strategic thinking, participation can decline even further, especially among less tech-savvy community members.

"Voter Education: Provide clear explanations of proposals and their potential implications to ensure well-informed decision-making by the community." - TokenMinds Team

To address these challenges, projects using quadratic voting must prioritize user education and interface design. This might include tutorials, simplified voting processes, and tools that clarify the impact of credit allocation decisions. Colony, for example, tackled similar issues by integrating reputation-based voting, where members' influence increases with their contributions, thereby easing the learning curve for new participants.

The broader usability challenges in web3 governance only add to this complexity. Many users lack the foundational knowledge needed to navigate DAO interfaces, and layering quadratic voting’s intricacies on top of this can create an overwhelming experience. Striking a balance between advanced voting features and accessibility is essential.

Security concerns also play a role in usability. Blockchain’s immutable nature means voting mistakes are permanent - decisions encoded in smart contracts cannot be reversed. This further underscores the importance of voter education, ensuring participants fully understand the stakes and mechanics before casting their votes.

Use Cases and Applications in Web3 Governance

The choice of voting mechanism in Web3 governance depends largely on the goals of a project. Quadratic voting and token-weighted voting each offer distinct advantages and challenges, which become especially clear when applied to areas like governance and funding in decentralized ecosystems. Let’s explore how these models influence real-world Web3 governance.

DAO Governance and Decision-Making

Quadratic voting is often used for protocol upgrades and community initiatives because it allows voters to express the intensity of their preferences. For example, CityDAO has adopted quadratic voting to encourage more balanced participation across its community. Similarly, Gitcoin DAO uses this method to ensure fair representation in decisions that affect its broader community.

On the other hand, token-weighted voting is frequently employed for treasury management and routine operations. DAOs like ENS DAO and Uniswap rely on this model to efficiently handle day-to-day decisions, where those with a larger economic stake have proportional influence.

Community size also plays a role in determining the best voting model. Smaller DAOs often work well with token-weighted voting, while larger, more diverse communities may benefit from quadratic voting to reduce the risk of power concentration.

Funding and Resource Allocation

Voting mechanisms also shape how resources and funding are distributed. Quadratic funding has emerged as a powerful tool for grant programs and public goods funding. For instance, Gitcoin has used this approach to distribute over $60 million to more than 3,000 open-source software development projects as of 2022. Additionally, DAO-led quadratic funding rounds, like those organized by the Optimism Collective, have supported initiatives such as Ethers.js and contributed to the early development of Uniswap, which later became one of the largest DeFi protocols.

For more mature projects with defined stakeholder hierarchies, token-weighted voting is often preferred for resource allocation. This model is particularly effective for managing treasury funds related to business development, partnerships, or operational expenses, as it ensures that decision-making aligns with the economic stakes of participants.

Many projects take a hybrid approach, leveraging quadratic funding to support early-stage growth and shifting to token-weighted voting as they scale. Ultimately, the choice of voting mechanism depends on whether a project prioritizes capturing broad community preferences or making efficient, economically driven decisions. By combining both systems, projects can create governance frameworks tailored to their unique needs and goals.

Conclusion and Recommendations

Our analysis highlights the importance of striking a balance between voting efficiency and fair representation to strengthen web3 governance.

Key Takeaways

Deciding between quadratic voting and token-weighted voting depends on your project's specific goals and limitations. Token-weighted voting is efficient for quick decision-making but risks dominance by large token holders. On the other hand, quadratic voting minimizes power concentration by increasing the cost of additional votes, though it requires more advanced infrastructure and voter education.

Low voter participation remains a challenge. For instance, Decentraland's average voter turnout hovers around 1%, and many DAOs face declining engagement as they grow. A study of 30,000 DAOs revealed that 53% were inactive for over six months, with larger DAOs experiencing even lower voter turnout. While token-weighted voting can lead to centralization and disengagement, quadratic voting requires strong sybil-resistance measures to prevent manipulation, such as one entity creating multiple accounts to influence results.

Based on these findings, here are practical recommendations for web3 projects looking to refine their governance structures.

Guidance for Web3 Projects

Choose a voting mechanism that aligns with your project's token distribution, decentralization goals, and governance needs. For instance, projects with concentrated token ownership should be cautious about using token-weighted voting, as it could exacerbate existing power imbalances. Smaller DAOs may perform better with token-based or multi-signature models, while larger, more diverse communities might benefit from hybrid or quadratic approaches to ensure fairer representation.

If quadratic voting is implemented, prioritize robust sybil-resistance measures. Techniques like state-issued IDs, biometric verification, or social graph-based systems can help ensure that each participant gets only one vote. Additionally, using Soulbound Tokens (SBTs) can link governance influence to meaningful contributions rather than just financial holdings.

Increasing voter participation is key to effective governance. Incentives - such as rewards, staking opportunities, or reputation-based benefits - can encourage more community members to engage. Many successful projects use a hybrid model, combining off-chain platforms like Snapshot to gauge sentiment with on-chain execution for critical decisions.

A hybrid governance model can also work well for balancing priorities: quadratic voting for community-driven initiatives ensures broader input, while token-weighted voting for treasury management allows for efficient decision-making.

"The right governance model should reflect the DAO's mission and help maintain balance and trust." (Metana Editorial)

Finally, remember that governance is not static. As your DAO evolves, your governance structures must adapt and scale accordingly. For projects seeking expert advice on designing tokenomics and governance models, consulting specialists like Tokenomics.net can help align your governance approach with your long-term vision.

These recommendations build on our earlier findings, emphasizing the need for governance systems that are both balanced and adaptable.

FAQs

How does quadratic voting reduce the influence of large token holders compared to token-weighted voting?

How Quadratic Voting Works

Quadratic voting is designed to curb the power of large token holders by making additional votes increasingly expensive. Unlike traditional token-weighted voting - where each token equals one vote, allowing wealthier participants to dominate - this method introduces a cost structure that grows quadratically. For instance, casting one vote might cost 1 credit, but two votes would cost 4 credits, and three votes would jump to 9 credits.

This system creates a more balanced dynamic, limiting the influence of any single participant and encouraging broader participation. Smaller token holders gain a stronger voice in governance, leading to decisions that better reflect the collective will of the community.

What are the main challenges of implementing quadratic voting in a web3 project?

Implementing quadratic voting in web3 projects isn’t without its hurdles. One significant challenge lies in the technical side of things. Integrating quadratic voting into existing blockchain systems requires creating smart contracts capable of calculating vote costs based on the square of the votes cast. This adds a layer of complexity to development and deployment, as these calculations must be both accurate and efficient to uphold the system’s integrity.

Another issue is tackling user manipulation. For example, some users might try to game the system by creating multiple wallets to sidestep the fairness quadratic voting aims to provide. This makes having strong anti-sybil attack mechanisms a must. On top of that, many users may not be familiar with how quadratic voting works, which could lead to confusion or even discourage participation. Overcoming these obstacles means prioritizing thoughtful system design, clear user education, and robust security measures to create a voting process that’s fair and easy to navigate.

How can projects encourage voter participation and engagement in quadratic voting systems?

To boost voter participation and engagement in quadratic voting systems, there are a few practical strategies to consider. First, allocate a fixed number of voting credits to each participant. This setup allows voters to distribute their credits in a way that reflects the strength of their preferences. It’s a simple yet effective way to give voters more control over the issues they care about most.

Another approach is to focus on specific community members, such as those who own certain NFTs or have a history of consistent on-chain activity. This can create a stronger sense of ownership and connection to the process. By making the system feel inclusive and relevant to these groups, projects can build a more active and committed voting community, encouraging long-term engagement and meaningful participation.

Related posts

Free Strategy Call

In just 30 minutes, we'll understand your goals and recommend the best path 

forward. No pressure. Pure value.

© 2025 TOKENOMICS.NET