Majoritarianism and Monoculture (M&M)

Research in decentralized computing, specifically in consensus algorithms, has focused on providing resistance to an adversary with a minority stake. This has resulted in systems that are majoritarian in the extreme, ignoring valuable lessons learned in law and politics over centuries. In this artic...

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Bibliographic Details
Main Authors: Mansoor “Manny” Ahmed, Dann R. Toliver, Hazem Danny Nakib
Format: Article
Language:English
Published: Cambridge University Press 2025-01-01
Series:Data & Policy
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Online Access:https://www.cambridge.org/core/product/identifier/S2632324924000506/type/journal_article
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Summary:Research in decentralized computing, specifically in consensus algorithms, has focused on providing resistance to an adversary with a minority stake. This has resulted in systems that are majoritarian in the extreme, ignoring valuable lessons learned in law and politics over centuries. In this article, we first detail this phenomenon of majoritarianism and point out how minority protections in the nondigital world have been implemented. We motivate adding minority protections to collaborative systems with examples. We also show how current software deployment models exacerbate majoritarianism, highlighting the problem of monoculture in client software in particular. We conclude by giving some suggestions on how to make decentralized computing less hostile to those in the minority.
ISSN:2632-3249