The plutocracy problem

Token-weighted governance is the default decision-making model for DAOs: one token, one vote. In theory this aligns incentives with capital at risk. In practice it produces plutocracy. Across ENS, Optimism, and Uniswap, Gini coefficients exceed 0.99 and the effective number of participants in any vote sits between two and five — a handful of large delegates decide every outcome.

The standard fix is commitment voting: lock tokens for a stated period and receive influence proportional to both stake and duration. The intuition is sound. The math doesn't work. A lock-curve multiplier bounded between zero and one cannot meaningfully redistribute power when the top-to-median stake ratio exceeds a million to one. A whale locking at the lowest multiplier still holds a million-to-one advantage.

What we built

Across 600+ autonomous simulation iterations calibrated against on-chain data from ENS, Optimism, and Uniswap, we evaluated a five-layer mechanism for governance and capital allocation:

1. Sub-linear stake compression — a concave transformation of stake that collapses million-to-one ratios to single-digit ratios.
2. Token locking — kept for opportunity cost and Sybil resistance, not curve-based weighting.
3. Exponential rank decay — a voter's 20th pick carries 0.01% of their first pick's weight, rewarding selective evaluation.
4. Conviction bonus — scales rewards by initiative rank, paying up to 25× more for the highest-conviction acceptance than the lowest.
5. Progressive reward distribution — ensures small holders earn more per token than whales, not less.

What this means

DAOs don't need to choose between meritocracy and broad participation. The same mechanism that surfaces quality signal also routes rewards toward the holders best positioned to evaluate it. The five layers compose into roughly thirty lines of Solidity on top of the existing Signals Protocol, opt-in per board.

A working paper is forthcoming.