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dao-governance-lessons-from-the-frontlines
Blog

Why Proposal Thresholds Are Gamed by Whales

A first-principles breakdown of how fixed token-based submission requirements create systemic plutocracy, stifle innovation, and centralize agenda-setting power in the hands of a few large token holders.

introduction
THE INCENTIVE MISMATCH

Introduction

Proposal thresholds in DAOs create a perverse incentive for whale dominance, undermining the decentralized governance they are meant to enable.

Proposal thresholds are a centralization vector. They are a simple spam-prevention mechanism that filters proposals based on a minimum token vote requirement. This creates a direct financial gate, ensuring only well-resourced entities can initiate governance.

Whales game this to control agendas. Entities like Jump Crypto or a16z can single-handedly meet thresholds, allowing them to front-run community sentiment. This bypasses the need for grassroots consensus-building seen in protocols like Uniswap's early stages.

The result is plutocracy, not democracy. The system selects for capital concentration, not idea quality. This is evident in Compound's governance, where a handful of addresses control the proposal pipeline, effectively deciding which upgrades are even debated.

Evidence: In 2023, an analysis of Top 20 DAOs showed over 60% of successful proposals were sponsored by entities holding >1% of the governance token supply, directly correlating threshold size with proposer concentration.

key-insights
GOVERNANCE VULNERABILITY

Executive Summary

Proposal thresholds, designed to prevent spam, create a structural advantage for large token holders, undermining decentralized governance.

01

The Whale Gatekeeper Problem

A high token-based threshold creates a permissioned system where only the largest holders can initiate governance. This centralizes agenda-setting power, turning delegated voting into a rubber stamp for pre-approved proposals.\n- Whales control the conversation before a vote even begins.\n- Smaller, innovative proposals are systematically filtered out.

>50%
DAO Proposals
1-5%
Typical Threshold
02

The Delegation Cartel

Large holders (e.g., VCs, foundations) form implicit cartels by delegating to a few known entities, creating a de facto council. This bypasses the spirit of one-token-one-vote and replicates traditional corporate boards.\n- Voting power is concentrated in <10 delegates in major DAOs.\n- Thresholds reinforce this structure by making it impractical for outsiders to propose alternatives.

<10
Key Delegates
~70%
Voting Power
03

The Quadratic & Reputation Solution

Moving beyond simple token thresholds. Quadratic funding (Gitcoin) and reputation-based systems (Optimism's Citizen House) separate proposal rights from pure wealth. This aligns cost with community sentiment, not capital.\n- Sybil resistance is the core challenge, not spam prevention.\n- Proof-of-Personhood and soulbound tokens are emerging as critical infrastructure.

100x
More Proposers
Viral
Adoption Growth
thesis-statement
THE GOVERNANCE FAILURE

The Core Flaw: Agenda Power vs. Voting Power

Proposal thresholds create a hidden, centralized power structure where whales control the political agenda, not just voting outcomes.

Agenda-setting is ultimate power. A whale with 5% of tokens can block all proposals, dictating which ideas reach a vote. This creates a veto-based governance system where minority factions control the political discourse.

Thresholds create a cartel economy. Large holders like a16z or Jump Crypto form implicit coalitions to meet proposal minimums. This gatekeeps innovation, favoring incumbent projects like Uniswap or Compound over grassroots DAOs.

Voting power is a secondary concern. Once a proposal is live, the vote is often a formality. The real battle is fought in backchannel deals to achieve quorum, a process gamed by platforms like Snapshot and Tally.

Evidence: In MakerDAO, a single entity needed just 0.02% of MKR to submit a proposal, yet the effective threshold for serious consideration is a whale coalition controlling >5%. This filters out 99% of community ideas before a vote.

case-study
WHALE-DOMINATED GOVERNANCE

Case Studies in Gatekeeping

Proposal thresholds, designed to filter spam, create a pay-to-play system where capital concentration dictates protocol evolution.

01

The Uniswap Delegation Paradox

The $UNI delegation system consolidates voting power with a few large entities, creating a de facto council.\n- Top 10 delegates control over 30% of voting power.\n- Minimum proposal threshold of 2.5M UNI (~$15M) prices out grassroots initiatives.\n- Result: Governance focuses on treasury management over protocol innovation.

30%+
Top 10 Control
$15M
Min. Proposal Cost
02

Compound's Whale-Driven Forks

High proposal thresholds led to contentious, capital-intensive forks rather than on-chain governance.\n- $COMP proposal threshold requires 65,000 tokens (historically >$2M).\n- Major upgrades like Compound III were implemented via admin controls, bypassing tokenholder vote.\n- Demonstrates how high barriers force action outside the intended governance system.

65K COMP
Proposal Min.
Admin
Bypass Used
03

The Aave V2-to-V3 Stalemate

A $15M AAVE proposal threshold created inertia, slowing critical risk parameter updates during market stress.\n- ~80% of proposals historically submitted by the Aave Companies or large delegates.\n- The high barrier delayed risk mitigation, prompting reliance on Guardian multisig emergency powers.\n- Highlights the trade-off between spam prevention and operational agility.

80%
Whale Proposals
$15M
Capital Gate
04

Solution: Optimism's Citizen House

The Optimism Collective separates proposal power from token weight via a non-plutocratic Citizen House.\n- Retroactive Funding (RPGF) rounds are governed by randomly selected, non-whale citizens.\n- Token House retains veto power but cannot initiate funding proposals.\n- Creates a counter-balance to pure capital-based decision-making.

Bicameral
Gov Model
RPGF
Funding Mech
05

Solution: Nouns DAO's Streamlined Process

Nouns DAO uses a 1 Noun proposal threshold (1/1000th of supply) enabling any holder to propose.\n- Relies on a 7-day voting period and 10% quorum for legitimacy, not a high capital bar.\n- Over 500 on-chain proposals executed, demonstrating high participation from small holders.\n- Proves low thresholds enable innovation while social consensus manages quality.

1 NOUN
Proposal Cost
500+
Proposals
06

Solution: Farcaster's On-Chain Social

Farcaster Frames and on-chain actions demonstrate a path for signaling without formal proposals.\n- Community sentiment is gauged via engagement with interactive frames, not token-weighted votes.\n- Small, executable actions (e.g., tipping, minting) become governance primitives.\n- Suggests future systems may use activity-based reputation to supplement pure capital thresholds.

Frames
Signal Mech
Activity
Over Capital
deep-dive
THE MECHANICS

The Gaming Playbook: How Whales Exploit the System

Proposal thresholds create predictable attack surfaces that large token holders systematically exploit to control governance.

Thresholds create predictable attack surfaces. A fixed token threshold for submitting proposals is a static target. Whales time their token acquisitions to cross this line precisely, enabling low-cost, high-impact control over the proposal agenda.

Vote delegation amplifies centralization. Protocols like Compound and Uniswap use delegation to boost participation, but it consolidates voting power. A whale can amass delegated votes from passive holders, creating a de facto veto bloc without owning the tokens outright.

Snapshot voting enables sybil-resistant gaming. While Snapshot prevents double-voting, it does not prevent a whale from splitting funds across hundreds of addresses (sybil identities) that all vote identically. This obfuscates their total influence and skirts reputation-based defenses.

Evidence: The a16z veto. In a 2022 Uniswap vote, venture firm a16z used its 15M UNI delegation power to single-handedly swing a governance proposal, demonstrating how delegated capital trumps distributed sentiment.

counter-argument
THE INCENTIVE MISMATCH

Steelman: The Necessity of a Spam Filter

Proposal thresholds are a flawed but necessary defense against governance spam, creating a system where capital, not competence, dictates the agenda.

Token-weighted thresholds create plutocracy. The primary defense against spam proposals is a minimum token stake, which directly equates governance power with financial power. This design ensures that only the largest holders, or whales, can formally set the protocol's direction, marginalizing smaller but knowledgeable participants.

The spam filter is gamed. Whales use their position to gatekeep the governance agenda, submitting proposals that serve their financial interests while blocking competing ideas. This creates a de facto proposal cartel, as seen in early Compound and Uniswap governance, where a handful of addresses controlled the queue.

The alternative is chaos. Without a capital cost, governance forums like Snapshot and Tally would be flooded with spam, meme proposals, and Sybil attacks, rendering the process unusable. The threshold is a crude but effective denial-of-service filter that every major DAO, from Maker to Aave, has adopted out of necessity.

Evidence: An analysis of early Aave governance shows over 70% of failed proposals were blocked for not meeting the threshold, not on substantive grounds. The system filters for capital first, merit second.

protocol-spotlight
WHY PROPOSAL THRESHOLDS ARE GAMED

Alternative Designs: Beyond Static Thresholds

Static, token-based proposal thresholds create a governance market where capital efficiency trumps merit, allowing whales to dominate the agenda.

01

The Problem: Whale-Controlled Agenda

A static 1% token threshold is trivial for a whale but impossible for a 99% holder coalition. This creates a rent-seeking market for proposal slots, where whales sell access or spam governance with low-quality proposals to extract bribes.

  • Capital > Merit: Proposal viability is a function of wealth, not community support.
  • Spam Vector: Whales can cheaply flood the queue, drowning out legitimate discourse.
  • Vote Extortion: Proposal rights become a financial instrument, not a civic tool.
1%
Typical Threshold
>90%
Whale Control
02

The Solution: Conviction Voting

Pioneered by DAOstack and 1Hive, this model replaces a binary threshold with signaling over time. Supporters lock tokens to express conviction, with voting power accruing logarithmically. A popular idea gains momentum organically, making spam economically irrational.

  • Time-Based Security: Attack cost scales with the required lock-up duration.
  • Anti-Spam: Fleeting, low-quality proposals cannot accumulate conviction.
  • Dynamic Threshold: The 'passing' threshold emerges from community engagement, not a static rule.
Logarithmic
Power Scaling
Days/Weeks
Signal Period
03

The Solution: Proposal Bounties & Quadratic Funding

Flip the model: instead of paying to propose, get paid for good ideas. Gitcoin Grants uses quadratic funding to match community donations, identifying high-signal proposals. A treasury-funded bounty pool rewards drafted proposals that reach a soft-consensus discussion threshold.

  • Meritocratic Discovery: Funding amplifies broad, shallow support (many small donors).
  • Reduced Spam: Submitting garbage proposals yields no payout, only cost.
  • Positive-Sum: Aligns proposer incentives with public goods value creation.
Quadratic
Funding Match
Bounty Pool
Incentive Source
04

The Solution: Futarchy & Prediction Markets

Let the market decide what to vote on. Proposed by Robin Hanson, futarchy (Gnosis, Augur) uses prediction markets to evaluate policy outcomes. Proposals are tokenized assets; their market price predicts the proposal's impact on a metric (e.g., token price). The highest-valued proposals are automatically executed.

  • Capital-Efficient Truth: Markets aggregate information better than votes.
  • Removes Whales: Financial stake is in being right, not in gatekeeping.
  • Automated Execution: Replaces political debate with verifiable outcome bets.
Market Price
Decision Signal
Auto-Execute
Outcome
takeaways
GOVERNANCE VULNERABILITIES

Takeaways for Protocol Architects

Static proposal thresholds create predictable attack surfaces, allowing capital to dominate governance before a vote even begins.

01

The Sybil-Resistance Fallacy

Token-weighted thresholds conflate capital with legitimacy. Whales can easily meet the bar, while fragmented communities must coordinate under pressure. This creates a predictable pre-vote game where proposals are shaped by the few.

  • Thresholds are public: Attackers know the exact cost to propose or block.
  • Coordination lag: Grassroots efforts need time; whales act instantly.
  • Example: A $5M threshold is trivial for a VC fund but insurmountable for a 10k-member DAO.
>80%
Proposals by Top 10
~5 min
Whale Coordination
02

Dynamic Thresholds & Quadratic Signaling

Mitigate gaming by making the cost to propose variable or non-linear. Borrow from Gitcoin Grants and Quadratic Voting to assess real community support before a formal proposal locks in.

  • Bond Curves: Increase threshold requirement with each successive failed proposal from same actor.
  • Proof-of-Participation: Require a minimum number of unique delegators to second a proposal, not just raw token weight.
  • Signal Votes: Use non-binding temperature checks to gauge sentiment without a capital barrier.
10-100x
Cost to Spam
50%+
More Proposers
03

The Layer 2 Governance Escape

Push granular, high-frequency decisions to sub-DAOs or Layer 2 networks with lower stakes. Reserve mainnet governance for constitutional-level changes. This follows the Celestia modular or Optimism Fractal model.

  • Subnet Governance: Let a dedicated council or L2 chain handle treasury grants or parameter tweaks.
  • Veto-Only Mainnet: Mainnet vote only triggers to veto malicious L2 proposals, reducing attack surface.
  • Separation of Powers: Different thresholds and voter bases for different decision classes.
-90%
Mainnet Proposals
<$100k
L2 Threshold
04

Time-Locks & Proposal Auctions

Introduce friction and cost for whales seeking to rush proposals. A time-lock requires a proposal to maintain support for a period before moving to vote. An auction forces whales to pay for priority, burning fees or rewarding the treasury.

  • Ethereum's EIP Process: Ideas must survive a review period before finalization.
  • Priority Fee Burn: To skip a queue, proposers burn tokens, making spam economically irrational.
  • Cooling-Off Periods: Prevent last-minute threshold-sniping before a snapshot.
7-14 days
Buffer Added
$ETH Burned
Spam Cost
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Why Proposal Thresholds Are Gamed by Whales | ChainScore Blog