EarthOL: A Proof-of-Human-Contribution Consensus Protocol -- Addressing Fundamental Challenges in Decentralized Value Assessment with Enhanced Verification and Security Mechanisms

TL;DR

EarthOL proposes to replace energy-wasteful blockchain consensus with verifiable human contributions in bounded domains using a dual-mainline framework that ties personal achievements to civilization-scale progress. The core mechanism, Achievement-Based Proof-of-Work (APoW), couples multi-layer verification with cross-cultural consensus and a domain-feasibility rubric to ensure security and social value, formalized by $APoW_{score} = \sum_{domains} \text{ContributionValue}_{domain} \times \text{VerificationStrength} \times \text{CivilizationImpact}$. The paper grounds this design in Arrow’s social choice theory, game-theoretic analysis, probabilistic modeling, and a detailed deployment roadmap, offering a pathway toward scalable, secure, and socially impactful decentralized value assessment within clearly defined domains. It also presents a comprehensive risk assessment and mitigation strategy, multiple revenue streams, and a multi-layered governance and security architecture to address economic, technical, and cultural challenges, aiming to move beyond computational waste toward meaningful human-centered consensus.

Abstract

This paper introduces EarthOL, a novel consensus protocol that attempts to replace computational waste in blockchain systems with verifiable human contributions within bounded domains. While recognizing the fundamental impossibility of universal value assessment, we propose a domain-restricted approach that acknowledges cultural diversity and subjective preferences while maintaining cryptographic security. Our enhanced Proof-of-Human-Contribution (PoHC) protocol uses a multi-layered verification system with domain-specific evaluation criteria, time-dependent validation mechanisms, and comprehensive security frameworks. We present theoretical analysis demonstrating meaningful progress toward incentive-compatible human contribution verification in high-consensus domains, achieving Byzantine fault tolerance in controlled scenarios while addressing significant scalability and cultural bias challenges. Through game-theoretic analysis, probabilistic modeling, and enhanced security protocols, we identify specific conditions under which the protocol remains stable and examine failure modes with comprehensive mitigation strategies. This work contributes to understanding the boundaries of decentralized value assessment and provides a framework for future research in human-centered consensus mechanisms for specific application domains, with particular emphasis on validator and security specialist incentive systems.

Figures (4)

• Figure 1: Enhanced Five-Layer Verification Architecture with Security and Validator Incentive Systems
• Figure 2: Multi-Layer Security Architecture with Threat-Defense Mapping
• Figure 3: Multi-Evidence Verification Protocol
• Figure 4: Enhanced System Architecture with Integrated Security and Multi-Interface Support