Any interaction between the continual complexity of reality and finite descriptive systems is accompanied by a fundamental informational gap. This study formulates a conceptual model of irreversible informational reduction, proving that the loss of context is not a consequence of engineering flaws ("algorithmic bias"), but a topological inevitability. A self-consistent two-level epistemic model is constructed—from the phenomenological continuum to the discrete carrier. Within its formal framework, the divergence of erasure is established, and the inevitability of severing the unformalized portion of the continual state via the mechanism of orthogonal annihilation is proven. Using the developed method of epistemic topology, abstract results are translated to the social domain through the procedure of structural homomorphism. This allows for the conceptualization of the capture of human experience not as passive datafication, but as coercive capta-extraction by infrastructural power. Within the model, it is shown that the inevitable divergence of erasure generates increasing social friction, which, according to the method of translation, forces the individual into preventive severing of their own continual (existential) complexity (self-compression). In the interpretative layer, it is demonstrated that the governing system legitimizes the resulting epistemic "zero-object" as a substitute for the subject, structurally ignoring their incompressible continual fullness. Relying on the proven topological proposition of irreversibility, which renders the unambiguous reconstruction of the erased state mathematically impossible, the paper puts forward a normative demand: the key preventive tool for subject protection is the institutional recognition of the fundamental "right not to be computed."
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Oleksandr Hlushenko (2026) studied this question.
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