Astrophysical Constraints on the Simulation Hypothesis for This Universe from a Biological Point of View

We have examined the Simulation Hypothesis through an interdisciplinary lens, combining insights from physics, biology, and psychology. Building on recent evidences on quantitative critique, we propose an alternative computational paradigm inspired by biological information processing. Rather than a continuous "brute-force" simulation, we suggest an event-driven, observer-dependent model that dramatically reduces computational requirements. Using the adaptive immune system as an analogy, we demonstrate how sparse computation can manage vast potential information spaces efficiently through a quantitative framework distinguishing potential from active entropy. This framework aligns with relational interpretations of quantum mechanics and offers a resolution to the physical impossibilities identified in continuous simulation models. Our aim is not to provide a constructive simulation design within known physics, but to show that alternative, biologically inspired paradigms re-open conceptual space that previous analysis, by construction, leaves unexamined. Additionally, we explore the psychosocial dimensions of the Simulation Hypothesis, examining why observer-dependent ontologies resonate in contemporary discourse and how they intersect with broader cultural patterns of meaning-making.