Governance design in blockchain systems carries consequences that are easy to underestimate. A governance model that appears balanced on paper can, in practice, produce outcomes controlled by a small number of large participants if the voting mechanism allows stake concentration to translate directly into decision-making power. Quadratic voting is the mechanism Blockmaze uses to prevent this — and understanding how it works is essential context for any institution evaluating the platform’s governance model.
The Problem with Token-Weighted Voting
The most common blockchain governance mechanism is simple token-weighted voting: each participant’s vote counts in proportion to their stake. A participant holding 10% of the governance token supply controls 10% of the voting outcome; one holding 40% controls nearly half of every decision. This model is straightforward to implement and easy to understand, but it has a structural flaw: it directly translates economic stake into governance authority, meaning that whoever accumulates the most tokens controls the most decisions — regardless of whether their preferences reflect the interests of the broader participant base.
In a consumer blockchain context, token-weighted plutocracy is a governance philosophy debate. In an institutional tokenisation platform where governance decisions determine which assets get issued, which compliance rules apply, and what emergency actions are taken, the stakes are regulatory and financial rather than philosophical. An institutional issuance platform whose governance can be captured by a single large participant offers weaker assurances to the institutions relying on it than one where no single participant can dominate.
How Quadratic Voting Works
Quadratic voting assigns voting power as the square root of the participant’s stake rather than as a linear function of it. The mechanism was formalised by economist E. Glen Weyl and introduced alongside Vitalik Buterin and Zoë Hitzig in academic work, before reaching a wider audience through the book Radical Markets (Posner and Weyl, 2018). It has since been implemented in multiple blockchain governance systems and studied extensively as a mechanism for reducing plutocracy in collective decision-making.
| Stake (tokens) | Linear Voting Power | Quadratic Voting Power | Power Compression |
|---|---|---|---|
| 1 | 1 | 1.00 | — |
| 4 | 4 | 2.00 | 50% of linear |
| 9 | 9 | 3.00 | 33% of linear |
| 25 | 25 | 5.00 | 20% of linear |
| 100 | 100 | 10.00 | 10% of linear |
| 10,000 | 10,000 | 100.00 | 1% of linear |
The table above illustrates the compression effect. A participant with 100x the stake of another has 100x the voting power under linear voting and only 10x the voting power under quadratic voting. The largest participants still have meaningfully more influence — this is intentional; it reflects the fact that larger participants have more at stake in governance outcomes — but the concentration of that influence is dramatically reduced compared to linear weighting.
Why Quadratic Voting Is Suited to Institutional Governance
Preventing Single-Participant Capture
In a quadratic system, capturing governance by accumulating stake becomes progressively more expensive as stake increases. Doubling voting power requires quadrupling stake; tripling voting power requires ninefold the stake. This exponential cost of influence makes governance capture economically impractical in a way that linear voting does not.
Reflecting Intensity of Preference
An underappreciated property of quadratic voting is that it allows participants to express the intensity of their preferences, not just their direction. In binary yes/no voting, every vote carries the same weight regardless of how strongly the voter holds their position. Quadratic voting allows a participant who cares deeply about a specific proposal to allocate more voting power to that decision at a higher cost — signalling genuine preference intensity rather than casual participation.
Balancing Institutional and Smaller Participants
In Blockmaze’s governance council, participants range from large institutional stakeholders to smaller qualified members. Quadratic voting ensures that the perspectives of smaller, qualified participants are not rendered irrelevant by the presence of larger ones. The governance council reflects a genuine balance of views rather than being an amplifier for the largest participant’s preferences.
Quadratic Voting in Practice on Blockmaze
On Blockmaze, quadratic voting is applied to the three categories of decisions that require DAO council approval: issuance proposals, material compliance parameter changes, and emergency actions such as issuer blacklisting. For each proposal, council members cast votes weighted by the square root of their governance stake, and the outcome — approval or rejection — reflects the aggregated quadratic voting power rather than linear stake.
The practical effect on issuance governance is that a single large institutional participant in the council — even one with significantly more stake than others — cannot unilaterally approve or reject a proposed issuance. The council’s collective quadratic vote determines the outcome, and that outcome is recorded permanently onchain for any stakeholder to verify.
Comparison with Alternative Governance Mechanisms
| Mechanism | How Power Is Distributed | Capture Risk | Used By |
|---|---|---|---|
| Linear token-weighted | Proportional to stake | High — largest holders dominate | Many DeFi protocols, DAO tokens |
| One participant one vote | Equal regardless of stake | Low — but ignores legitimate stake interests | Some community DAOs |
| Quadratic voting | Square root of stake | Low — capture is exponentially expensive | Blockmaze, Gitcoin, Colorado state pilot |
| Delegated / representative | Stake delegates to representatives | Medium — depends on delegation concentration | MakerDAO, Compound |
| Multisig / committee | Fixed signatories approve | Medium — depends on committee selection | Many DeFi protocol upgrades |
Limitations and Honest Assessments
Quadratic voting is not a perfect governance mechanism. Several genuine limitations apply. First, it does not address the identity verification problem: if governance tokens can be split across many wallets controlled by a single entity (a Sybil attack), the quadratic compression effect can be circumvented by an actor who is willing to create artificial participants. Blockmaze’s institutional-only participation model provides a meaningful Sybil resistance layer — KYB-verified institutional participants are far harder to Sybil than anonymous retail wallets.
Second, quadratic voting is more computationally and administratively complex than linear voting, and the mechanism’s mathematical properties are less immediately intuitive to non-specialist participants. This is a usability cost that is worth bearing for the governance quality improvement it produces, but it should be acknowledged rather than ignored.
Third, no voting mechanism fully solves the problem of informed participation — participants who vote without adequately understanding a proposal’s implications produce lower-quality governance outcomes regardless of the voting mechanism used. Blockmaze’s required review window of 7 to 14 days for proposals is designed to provide adequate information and deliberation time.
Why This Matters for Institutional Investors
An institutional investor allocating capital to a tokenised asset on Blockmaze is relying on the platform’s governance model to protect the compliance rules that govern their position. If those rules can be unilaterally modified by a single large participant, the investment’s risk profile changes materially from what was disclosed at the time of subscription. Quadratic voting is the mechanism that prevents this — not by excluding large participants from governance, but by ensuring their influence cannot dominate it regardless of how much stake they hold.
For compliance-focused institutional investors, this is not a theoretical concern. It is a governance due diligence question with a specific structural answer: the quadratic voting mechanism ensures that no single participant controls Blockmaze’s governance outcomes, and the onchain record of every vote confirms that this mechanism is actually in use rather than merely claimed.
Disclaimer: This article is for informational purposes only and does not constitute financial or legal advice. Readers should conduct their own research and consult with qualified professionals before making any investment or business decisions.
Frequently Asked Questions
Who invented quadratic voting?
Quadratic voting was formalised by economist E. Glen Weyl, alongside Vitalik Buterin and Zoë Hitzig, in academic work published around 2017-2018 and subsequently introduced to a wider audience through the book Radical Markets (Eric Posner and Glen Weyl, 2018).
Has quadratic voting been used outside blockchain contexts?
Yes. Colorado’s state legislature piloted quadratic voting for budget allocation decisions in 2019, and Gitcoin has used it extensively for public goods funding allocation in the Ethereum ecosystem. It has been studied in academic economics as a general mechanism for collective decision-making.
How does Blockmaze prevent Sybil attacks on its quadratic voting system?
Blockmaze’s institutional-only participation model requires KYB verification for all council participants. This makes it significantly harder to create artificial participants (wallets) to circumvent the quadratic compression, since each participant must be a verified institutional entity rather than an anonymous address.
Does quadratic voting mean large participants have no extra influence?
No — large participants still have more voting power than small ones, but the scaling is sub-linear. A participant with 100x the stake of another has 10x the voting power, not 100x. The influence differential is preserved but compressed.
Where can I see Blockmaze’s governance votes?
All DAO proposals and vote outcomes are recorded onchain and are independently queryable. Governance transparency is a core architectural property of the platform rather than a disclosure policy choice.