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Glossary

Minimum Approval

Minimum Approval is the predefined threshold of votes, often a percentage of total voting power, required for a governance proposal to pass in a decentralized network.
Chainscore © 2026
definition
BLOCKCHAIN GOVERNANCE

What is Minimum Approval?

A core governance parameter that defines the threshold of support required for a proposal to pass in a decentralized organization.

Minimum Approval is a governance parameter that specifies the minimum number or percentage of affirmative votes a proposal must receive to be executed in a Decentralized Autonomous Organization (DAO) or similar on-chain governance system. It acts as a critical quorum threshold, ensuring that only proposals with sufficient community backing are enacted. This mechanism prevents a small, unrepresentative group from making unilateral decisions that affect the entire protocol, thereby protecting the network's decentralized nature and stakeholder interests.

The parameter is typically expressed as a percentage of the total voting power cast or, less commonly, as an absolute number of tokens. For example, a DAO might set its minimum approval to 51% of votes cast, requiring a simple majority. More conservative or high-stakes protocols may set it at 66.6% (a supermajority) or higher to ensure broader consensus for significant changes like treasury allocations or protocol upgrades. This setting is a fundamental trade-off between decision-making efficiency and security against malicious proposals.

In practice, minimum approval works in conjunction with other governance parameters like minimum quorum (the minimum total participation required for a vote to be valid) and voting delay/deadline. A proposal that meets the minimum quorum but fails to reach the minimum approval threshold is rejected. This dual-layer system is common in frameworks like Compound's Governor and Aave's governance module, where parameters are often adjustable via governance proposals themselves, allowing the DAO to evolve its decision-making rules over time.

Setting the optimal minimum approval is a strategic decision for any DAO. A threshold set too low risks the passage of proposals without meaningful consensus, potentially leading to governance attacks or reckless spending. Conversely, a threshold set excessively high can lead to governance paralysis, where even popular proposals struggle to pass, stifling innovation and necessary protocol evolution. Analysts often examine this metric to assess a protocol's governance health and resilience.

For developers and delegates, understanding minimum approval is essential for crafting viable proposals and strategizing voting campaigns. It requires proponents to build substantial coalitions and communicate their value proposition effectively to secure the necessary support. This process underscores the shift from corporate-style hierarchy to stakeholder-driven coordination, where code-enforced rules like minimum approval translate token-holder sentiment into executable on-chain actions.

key-features
CONSENSUS MECHANISM

Key Features of Minimum Approval

Minimum Approval is a core parameter in multi-signature (multisig) wallets and on-chain governance, defining the threshold of signatures required to authorize a transaction or proposal.

01

Threshold Security Model

The minimum approval value establishes a security threshold, such as 2-of-3 or 4-of-7. This prevents any single key holder from acting unilaterally and protects against key loss or compromise. The model balances security with operational agility.

02

On-Chain Governance

In DAO governance, minimum approval refers to the percentage of voting power (e.g., 51% or 67%) required to pass a proposal. This ensures decisions reflect broad consensus and prevents minority takeovers. It's a critical parameter in frameworks like Compound Governor Bravo and Aave Governance.

03

Flexible Configuration

The threshold is not static and can be reconfigured via a governance vote or a higher-order multisig. This allows organizations to adapt their security posture in response to team changes, security audits, or evolving operational needs.

04

Transaction Finality

Once the minimum approval threshold is met, the transaction is cryptographically valid and can be executed on-chain. This is the point of irreversible consensus for the signers. Any further signatures are redundant.

06

Risk of Stalemate

If the threshold is set too high relative to the number of signers (e.g., 5-of-5), the wallet or DAO becomes vulnerable to deadlock if a single participant is unavailable or uncooperative. This is a key consideration in parameter design.

how-it-works
CONSENSUS MECHANISM

How Minimum Approval Works

A technical breakdown of the minimum approval mechanism, a core governance and security parameter in decentralized systems.

Minimum approval is a governance parameter that defines the minimum number or percentage of affirmative votes required from a designated group—such as token holders, validators, or a multisig council—to execute a proposed action on-chain. This mechanism is fundamental to achieving consensus for protocol upgrades, treasury expenditures, or parameter changes, ensuring no single entity can act unilaterally. It is a quantifiable threshold that enforces collective decision-making, often expressed as a simple majority (e.g., 51%), a supermajority (e.g., 67%), or a fixed count of signatories in a multisignature wallet.

The process typically follows a defined workflow: a proposal is submitted on-chain, a voting period commences, and votes are tallied. If the votes in favor meet or exceed the predefined minimum approval threshold, the proposal is ratified and can be executed automatically or queued for implementation. This creates a transparent and auditable record of governance. Key related concepts include quorum, which defines the minimum participation level for a vote to be valid, and minimum approval, which specifically concerns the proportion of those votes that must be 'yes'.

In practice, setting this threshold involves a critical trade-off between security and agility. A very high threshold (e.g., 80%) protects against malicious proposals but can lead to governance paralysis, where even popular upgrades stall. Conversely, a low threshold (e.g., 50% +1) makes the system more agile but potentially vulnerable to sybil attacks or rushed decisions. DAO frameworks like Aragon and blockchain governance systems like Polkadot or Cosmos allow these parameters to be configured and even changed via governance proposals themselves.

For example, a Decentralized Autonomous Organization (DAO) managing a treasury might set a minimum approval of 60% of its token-based votes to authorize a payment. In a Proof-of-Stake network, a minimum approval of 2/3 of the validator stake might be required to enact a runtime upgrade. This mechanism is distinct from, but often works in conjunction with, execution delays or timelocks, which provide a final safety period after a vote passes but before the code executes, allowing users to react if necessary.

examples
MINIMUM APPROVAL IN ACTION

Real-World Examples

Minimum approval thresholds are a core security mechanism in decentralized governance, determining the quorum needed for proposals to pass. These examples illustrate how different protocols implement and enforce this parameter.

01

Compound Governance

Compound's governance uses a minimum approval threshold of 400,000 COMP tokens. This is a fixed quorum requirement, meaning a proposal must receive at least this many 'for' votes to pass, regardless of total supply participation. This model ensures a baseline level of stakeholder consensus is always required.

  • Proposal Type: All governance actions (parameter changes, upgrades).
  • Key Feature: Fixed quorum prevents low-turnout proposals from passing.
  • Security Implication: A high threshold protects against malicious proposals but can also lead to voter apathy for non-critical changes.
02

Uniswap's Dynamic Quorum

Uniswap introduced a dynamic quorum mechanism, where the minimum approval threshold adjusts based on voter turnout. The required 'for' votes are a percentage of the circulating supply, calculated as: quorum = min(4%, max(0.5%, 0.5% + turnout * 0.5%)).

  • Adaptive Security: The threshold scales with community engagement.
  • Pro-Consensus: Makes it harder for a small, highly motivated group to pass proposals during low turnout.
  • Real Impact: This system aims to balance security with proposal viability, preventing stagnation.
03

Aave's Proposal & Execution Thresholds

Aave governance separates the minimum approval into two distinct phases, each with its own threshold.

  • Proposal Threshold: A creator must have 80,000 AAVE (or delegated voting power) to submit a proposal, ensuring proposal quality.
  • Quorum (Execution Threshold): A proposal needs a minimum of 320,000 AAVE voting 'for' to be eligible for execution. This two-tiered system filters out spam and ensures only widely supported proposals reach the execution stage.
04

MakerDAO's Governance Polls

MakerDAO uses a flexible minimum approval system where the threshold is set per-proposal type within its governance polls. For example:

  • Executive Votes (code changes): Require a majority of participating MKR and a high quorum.
  • Governance Polls (sentiment checks): Have a lower approval threshold, acting as a signaling mechanism.
  • Key Insight: This allows the DAO to apply stricter security to high-risk executive actions while maintaining agility for community sentiment gathering.
05

Snapshot's Flexible Configuration

Snapshot, a gasless voting platform, allows DAOs to configure their own minimum approval logic using various strategies. This showcases the parameter's versatility.

  • Common Strategies: Fixed quorum (e.g., 1M tokens), percentage-based quorum (e.g., 5% of supply), or relative majority (simple majority of votes cast).
  • DAO Customization: Each community can tailor the threshold to its size, token distribution, and risk tolerance.
  • Example: A small NFT DAO might use a low fixed quorum, while a large DeFi protocol uses a high percentage-based threshold.
06

The Security vs. Participation Trade-off

Setting the minimum approval threshold involves a fundamental trade-off that all governance systems must navigate.

  • High Threshold (e.g., 10% of supply): Maximizes security by requiring broad consensus, but risks governance paralysis where no proposals can pass due to low voter turnout.
  • Low Threshold (e.g., 1% of supply): Increases proposal viability and participation, but lowers the security barrier, making the protocol more vulnerable to attacks by a motivated minority.
  • Best Practice: Protocols often adjust this parameter over time based on voter behavior and protocol maturity.
GOVERNANCE PARAMETER COMPARISON

Minimum Approval vs. Related Governance Parameters

A comparison of key on-chain governance parameters that define proposal requirements and voting outcomes.

ParameterMinimum ApprovalMinimum ParticipationVoting DelayVoting Period

Primary Function

Defines the minimum percentage of total votes in favor required for a proposal to pass.

Defines the minimum percentage of total token supply that must vote for a proposal to be valid.

The time delay between proposal submission and the start of the voting period.

The duration of the active voting period.

Typical Value Range

51% - 67%

2% - 20%

1 - 7 days

3 - 14 days

Governs Proposal

Outcome (Pass/Fail)

Validity (Quorum)

Submission Timing

Voting Duration

Failure Condition

Proposal is rejected.

Proposal is invalid, regardless of approval.

Voting cannot begin until delay elapses.

Voting window closes; final tally is counted.

Common Interaction

Acts on votes that meet the Minimum Participation quorum.

A prerequisite for Minimum Approval to be evaluated.

Independent parameter set before voting begins.

Independent timeframe for casting votes.

Example (MakerDAO)

50% Yes votes

50,000 MKR (dynamic)

0 days

3 days

Example (Uniswap)

4 million UNI (fixed threshold)

40 million UNI (fixed quorum)

~2 days (48 hours)

~7 days (168 hours)

Risk if Set Too High

Governance paralysis; no proposals can pass.

Quorum impossible to reach; governance deadlock.

Reduces agility in responding to urgent issues.

Delays execution of passed proposals.

security-considerations
MINIMUM APPROVAL

Security & Game Theory Considerations

Minimum Approval is a governance parameter that sets the threshold of affirmative votes required for a proposal to pass, directly influencing the security and decentralization of a DAO.

01

Definition & Core Function

Minimum Approval is the minimum number or percentage of 'Yes' votes a governance proposal must receive to be considered passed. It is a critical quorum mechanism that prevents a small, unrepresentative group from making decisions on behalf of the entire token-holder community. This parameter is typically set as a percentage of the total voting power or a fixed number of tokens.

02

Security Implications

A properly configured Minimum Approval threshold protects against low-turnout attacks, where a malicious actor could pass a proposal during a period of low voter participation. If set too low, it compromises sybil resistance. If set too high, it can lead to governance paralysis, where no proposals can pass, creating a different security risk. It must be balanced with Minimum Quorum requirements for robust security.

03

Game Theory & Voter Incentives

The threshold creates strategic incentives for voters. A high bar encourages coalition building and active campaigning to reach consensus. It can also lead to voter apathy if the threshold seems unattainable. Conversely, a low threshold may reduce the perceived importance of individual votes, discouraging participation. The setting influences whether voting is a coordination game or a token-weighted poll.

04

Parameter Adjustment & Examples

The Minimum Approval is often a mutable parameter, adjusted via governance itself. Real-world examples:

  • Compound Governance: Proposals require a 400,000 COMP quorum, but passage requires a majority of votes cast (simple majority of quorum).
  • Uniswap: Early proposals required 40 million UNI (4% of supply) to pass.
  • Aragon Client: Allows DAOs to set a precise support percentage (e.g., 50% + 1 vote).
05

Interaction with Other Parameters

Minimum Approval does not operate in isolation. Its effectiveness depends on:

  • Minimum Quorum: The minimum total voting power that must participate.
  • Voting Delay & Period: The time windows for voting.
  • Delegation: How voter power is pooled. A proposal may meet Minimum Approval but fail due to insufficient quorum. These parameters form a multi-layered defense for on-chain governance.
06

Common Vulnerabilities

Poorly configured thresholds can lead to specific attack vectors:

  • Proposal Spam: Low thresholds allow spam proposals to pass during low-activity periods.
  • Whale Dominance: A single entity with sufficient tokens can meet the threshold alone if set as a raw number, not a percentage.
  • Timing Attacks: Exploiting predictable low-activity periods (e.g., holidays) to pass malicious proposals that meet a low threshold. Regular analysis of voter turnout data is essential for mitigation.
parameter-design
GOVERNANCE MECHANISM

Designing the Minimum Approval Parameter

A technical guide to configuring the minimum approval threshold, a critical security and governance parameter in multi-signature wallets and decentralized autonomous organizations (DAOs).

The minimum approval parameter, often called the threshold or M-of-N, defines the minimum number of required signatures (M) from a predefined set of authorized signers (N) to authorize a transaction or execute a governance proposal. This parameter is the core security rule for multi-signature (multisig) wallets and on-chain voting systems, establishing a balance between security, availability, and operational agility. Setting M = 1 creates a single point of control, while M = N requires unanimous consent, which can lead to operational deadlock.

Designing this parameter involves a fundamental security-liveness trade-off. A higher threshold (e.g., 4-of-5) increases security by making it harder for a malicious actor or a small coalition to steal funds or pass a harmful proposal. Conversely, it reduces liveness—the ability to act quickly—as it requires more signers to be available and coordinated. A lower threshold (e.g., 2-of-5) improves responsiveness but increases vulnerability to insider threats or key compromise. The optimal setting depends on the specific use case, trust model, and risk tolerance of the organization.

Common configurations follow established security principles. For corporate treasuries, a 3-of-5 setup is a frequent starting point, providing a balance where no single person can act alone, two potentially compromised keys are insufficient, and three out of five keyholders are typically available. DAOs often implement more complex, graduated thresholds where the required approval percentage scales with the proposal's impact or the amount of funds involved, a concept known as progressive decentralization. This is frequently managed through governance frameworks like OpenZeppelin's Governor contracts.

Key operational considerations include signer selection (geographic distribution, role diversity), key management (hardware wallets, institutional custodians), and recovery procedures for lost keys. The parameter is not static; it should be reviewed periodically and can be updated via a governance proposal itself, though changing it often requires a higher approval threshold than normal operations to prevent a hostile takeover. This creates a meta-governance layer critical for long-term security.

In practice, designing this parameter requires modeling failure scenarios. Teams should ask: What is the consequence of a signer becoming unavailable? What is the risk of collusion? Tools like Gnosis Safe and Safe{Wallet} allow real-time simulation of these parameters, while on-chain analytics can track proposal execution times and voting patterns to inform data-driven adjustments to the quorum and threshold over time.

FAQ

Common Misconceptions About Minimum Approval

Clarifying frequent misunderstandings about the minimum approval parameter in decentralized governance and its impact on security, efficiency, and voter apathy.

Minimum approval is a governance parameter that defines the minimum percentage of the total token supply that must vote 'Yes' for a proposal to pass, regardless of the turnout. It works by setting a fixed threshold that a proposal's affirmative votes must meet or exceed. For example, in a DAO with a 5% minimum approval, a proposal with 100 million total tokens requires at least 5 million 'Yes' votes to succeed. This mechanism is distinct from a simple majority of votes cast (quorum) and is designed to ensure that a small, active minority cannot pass proposals without broader token holder support. It is a critical defense against low-turnout attacks and voter apathy.

MINIMUM APPROVAL

Frequently Asked Questions (FAQ)

Common questions about the Minimum Approval parameter in decentralized governance, its function, and its impact on proposal outcomes.

Minimum Approval is a governance parameter that defines the minimum number or percentage of governance token votes a proposal must receive to be considered valid and executable. It acts as a quorum threshold, ensuring that a proposal has sufficient community engagement and support before it can pass. This parameter is typically set in a DAO's smart contract and is a critical defense against low-turnout attacks, where a small, unrepresentative group could pass proposals. For example, a DAO with 1,000,000 total voting power might set a Minimum Approval of 100,000 votes (10%), meaning any proposal failing to reach that vote count automatically fails, regardless of the Yes/No ratio.

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