Qualitative structural analysis uncovers philosophical shifts in human trust and memory within public blockchains, indicating a structural replacement of shared community with verifiable simulation.
What exactly was built when engineers set out to build a system that, in Satoshi Nakamoto's founding words, would work "without relying on trust"? This article takes that promise philosophically rather than technically. It argues that public, permissionless blockchains do not merely reorganize payments, property, or law — the topics that dominate current blockchain scholarship — but transform the underlying conditions of human co-existence: trust as a relation that has an addressee, community as something borne in common, and time as something that can be retold and revised. The argument extends the author's ongoing account of "archontic machines," distributed structures that govern access to truth by counterfeiting it rather than forbidding it, and claims that blockchain is this machine's ultimate form. Methodologically, the study offers a qualitative structural analysis of four completed cases — irreversible key loss and the QuadrigaCX collapse, the NFT market cycle, mining and consensus mechanisms, and the 2016 Ethereum hard fork — each checked against primary sources. Three findings organize the results. Blockchain materializes what Lacan called the big Other, an instance of total registration, while amputating its desire: verification replaces recognition, and the record becomes a verifiable simulacrum — perfectly checkable, with its relation to truth removed. Consensus counterfeits genuine community (sobornost, in the Russian philosophical tradition): concerted action achieved by eliminating the participants' singularity. The append-only ledger produces accumulation without event, structurally prohibiting metanoia. Only the living who carry the machine proved able to reverse it — once, at the price of a schism that left two irreconcilable pasts. Against the influential reading of blockchain as a narrative technology, the article concludes that it is a technology that prevents stories from being told.
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POZHAROV ALEKSEY I. ПОЖАРОВ А.И. (2026) studied this question.
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