Governance Concentration in Decentralized Finance: A Comparative Analysis of MakerDAO, Lido, and Ethereum Name Service Using the Zero Point Senemosìa Framework

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The paper introduces the Zero Point Senemosìa (ZPS) framework and the DAO Health Index (DHI) to quantify extreme voting power concentration in DAOs, while proposing the PARE protocol as a mechanism to mitigate governance risks and treasury capture.

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Decentralized governance, DAO governance, voting concentration, governance
risk, blockchain governance, organizational science, cryptoeconomics

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Decentralized Autonomous Organizations (DAOs) promise democratic governance through
token-weighted voting, yet empirical evidence reveals extreme concentration of voting power
comparable to the world’s most unequal countries. This paper introduces the Zero Point Sen-
emosìa (ZPS) framework, a novel approach to quantifying governance health in DAOs through
quantum-inspired organizational modeling. We analyze three major DAOs—MakerDAO (MKR),
Lido (LDO), and Ethereum Name Service (ENS)—revealing distinct governance pathologies:
MKR exhibits polarized debate (DHI = 0.68), LDO demonstrates silent consensus masking con-
centration (DHI = 0.71), and ENS presents acute treasury capture risk despite high participation
(DHI = 0.59).
Our analysis reveals Gini coefficients ranging from 0.80–0.89 and Nakamoto coefficients as
low as 4, indicating that merely 4–7 entities control 51% of governance in these protocols worth
$14B+ in total value locked. We introduce the DAO Health Index (DHI) as a quantitative
governance metric and propose the Protocol for Auto-corrective Reconfiguration and Equilib-
rium (PARE) as a framework for designing self-correcting governance mechanisms. Our findings
have direct implications for regulatory policy, institutional investment, and the design of future
decentralized systems.

Authors

Fabian Leo Naressi

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