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Predictive Programming as a Quantum Boundary Effect

2025/11/15 by Daniel Lee Harrell, Harrell, Daniel Lee
Computer Science · Neuroscience · Social Sciences · #Chaos, Complexity, and Education #Embodied and Extended Cognition #FOS: Physical sciences #Language and cultural evolution #Nonlinear #Other Physics #Physical Sciences and Mathematics #Physics #Quantum Physics #Statistical #Statistics and Probability #and Soft Matter Physics #complexity theory #cultural emergence #predictive programming #quantum foundations #retrocausality #time symmetry #two-state vector formalism

paper · doi:10.17605/osf.io/7kjsb

openalex publication_date 2025/11/15 · openalex created_date 2025/11/16 · openalex updated_date 2026/07/04

Abstract

This manuscript proposes that predictive programming—the appearance of future events in earlier cultural works—may emerge naturally from a two-boundary quantum framework rather than coincidence or intentional signaling. Drawing on the Two-State Vector Formalism (TSVF), Wheeler’s delayed-choice experiments, and Cramer’s Transactional Interpretation, the paper models cultural imagination as a bidirectional information system shaped jointly by past initial conditions and future boundary states. When combined with attractor dynamics, this framework identifies a statistical overlap region in which certain cultural motifs become amplified because they satisfy both forward-evolved plausibility and backward-constrained compatibility. This overlap region creates the appearance of cultural “predictions” without invoking conspiracy, mysticism, or intentional foreknowledge. The manuscript argues that narrative systems may function similarly to time-symmetric physical systems, where information flow is constrained by both historical momentum and eventual outcomes. Fiction, satire, and speculative media act as probes of this probability landscape, revealing regions of cultural state space with unusually high stability under two-boundary constraints. This work forms part of an ongoing research effort exploring retrocausal models, boundary-condition dynamics, and emergent structure in cultural and historical systems. Keywords: retrocausality, predictive programming, TSVF, delayed choice, attractor dynamics, boundary conditions, nonlinear systems

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