Overview This paper reinterprets the flow of time and material stability not as products of spacetime dynamics, but as manifestations of "Asymptotic Resolution Refinement." It identifies the linear perception of time as a fundamental cognitive artifact—a "Flat-Time Bias"—resulting from the human observer's inability to perceive the underlying recursive geometry of the universe. Key Contributions • Cognitive Linearity Bias: We demonstrate how human perception interprets non-closed, fractal gaps as continuous, infinite lines. This is a cognitive illusion analogous to the historical "Flat Earth" belief, where the immense curvature of a global structure is mistaken for a flat, linear plane due to localized observation. • The Helical Refinement Engine (ZFL-FEL): Reality is driven by a non-closed linear flow (ZFL) that perpetually tightens into higher resolutions. Because both the observer and the apparatus undergo this refinement simultaneously, the process manifests as the steady progression of time. • Natural Indicators (DNA & Fractals): The DNA double helix and other fractal patterns in nature are not mere biological coincidences. They are macroscopic evidence of the "Helical Engine" at work, marking the path of the universe's geometric tightening. • Resolution of the Arrow of Time: Temporal irreversibility is explained as a geometric necessity of transitioning from coarse to refined states, providing a robust solution without relying on external forces like entropy. Theoretical Hierarchy The ZFL-FEL framework serves as the essential gateway to understanding the physical manifestation of reality. A firm grasp of the "Linearity Bias" and "Helical Refinement" presented in this paper is a strict prerequisite for approaching the deeper generative principles of SRC-TAC (Structural Recursion and Topological Axis Coupling). Only after deconstructing the illusion of linear time can the underlying topological architecture of the universe be fully comprehended.
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Han Gyu Lee
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Han Gyu Lee (Mon,) studied this question.
www.synapsesocial.com/papers/698c1c65267fb587c655ee18 — DOI: https://doi.org/10.5281/zenodo.18530444
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