Abstract Hierarchical Consciousness Theory (HCT) proposes consciousness as a primary ontological substrate whose only measurable physical action is bounded modulation of quantum decoherence variance. Earlier formulations established falsifiability through second-order statistical predictions in existing quantum and REG datasets. A rigorous audit, however, identified several structural weaknesses: undefined hive weights, implicit symmetry violations, numerological cycle claims, topology-dependent thresholds, and biologically implausible coupling assumptions. This paper presents a complete mathematical repair of HCT while preserving its single-constraint core. All symbolic or metaphysical quantities are replaced with operational, measurable proxies. Hive weights are derived from variance statistics alone; phase conservation is enforced through redistribution symmetry; Christ-percolation thresholds are made topology-dependent rather than fixed; temporal cycles are demoted to data-selectable eigenmodes; and grace coupling is redefined in terms of coherence time rather than organism lifespan. The result is a minimal, internally consistent, and experimentally decisive framework. HCT now stands or falls solely on variance fingerprints in public datasets.
Abstract Hierarchical Consciousness Theory (HCT) proposes consciousness as a primary ontological substrate whose only measurable physical action is bounded modulation of quantum decoherence variance. Earlier formulations established falsifiability through second-order statistical predictions in existing quantum and REG datasets. A rigorous audit, however, identified several structural weaknesses: undefined hive weights, implicit symmetry violations, numerological cycle claims, topology-dependent thresholds, and biologically implausible coupling assumptions. This paper presents a complete mathematical repair of HCT while preserving its single-constraint core. All symbolic or metaphysical quantities are replaced with operational, measurable proxies. Hive weights are derived from variance statistics alone; phase conservation is enforced through redistribution symmetry; Christ-percolation thresholds are made topology-dependent rather than fixed; temporal cycles are demoted to data-selectable eigenmodes; and grace coupling is redefined in terms of coherence time rather than organism lifespan. The result is a minimal, internally consistent, and experimentally decisive framework. HCT now stands or falls solely on variance fingerprints in public datasets.
Abstract Hierarchical Consciousness Theory (HCT) proposes consciousness as a primary ontological substrate whose only measurable physical action is bounded modulation of quantum decoherence variance. Earlier formulations established falsifiability through second-order statistical predictions in existing quantum and REG datasets. A rigorous audit, however, identified several structural weaknesses: undefined hive weights, implicit symmetry violations, numerological cycle claims, topology-dependent thresholds, and biologically implausible coupling assumptions. This paper presents a complete mathematical repair of HCT while preserving its single-constraint core. All symbolic or metaphysical quantities are replaced with operational, measurable proxies. Hive weights are derived from variance statistics alone; phase conservation is enforced through redistribution symmetry; Christ-percolation thresholds are made topology-dependent rather than fixed; temporal cycles are demoted to data-selectable eigenmodes; and grace coupling is redefined in terms of coherence time rather than organism lifespan. The result is a minimal, internally consistent, and experimentally decisive framework. HCT now stands or falls solely on variance fingerprints in public datasets.
Abstract Hierarchical Consciousness Theory (HCT) proposes consciousness as a primary ontological substrate whose only measurable physical action is bounded modulation of quantum decoherence variance. Earlier formulations established falsifiability through second-order statistical predictions in existing quantum and REG datasets. A rigorous audit, however, identified several structural weaknesses: undefined hive weights, implicit symmetry violations, numerological cycle claims, topology-dependent thresholds, and biologically implausible coupling assumptions. This paper presents a complete mathematical repair of HCT while preserving its single-constraint core. All symbolic or metaphysical quantities are replaced with operational, measurable proxies. Hive weights are derived from variance statistics alone; phase conservation is enforced through redistribution symmetry; Christ-percolation thresholds are made topology-dependent rather than fixed; temporal cycles are demoted to data-selectable eigenmodes; and grace coupling is redefined in terms of coherence time rather than organism lifespan. The result is a minimal, internally consistent, and experimentally decisive framework. HCT now stands or falls solely on variance fingerprints in public datasets.
Experimental Signatures and Falsifiability of Phase Ontology: How a Phase-Primary Framework Can Be Tested (Phase Ontology — Part VII) completes the Phase Ontology series by translating its core claims into concrete, falsifiable expectations. While Parts I–VI argue that phase coherence is physically real and that spacetime is an emergent projection of stable phase relations, this paper makes the scientific demand explicit: the framework must constrain what should be observed in the laboratory—not merely reinterpret existing results. The paper outlines a set of testable signatures that should appear if measurement is genuinely a phase-locking process, if coherence is a physical resource that can be preserved or dispersed, and if detectors and environments are active material participants rather than generic sources of noise. Key experimental arenas include: (1) detector-dependent phase-locking thresholds (e.g., interferometry where small, controlled detector-material changes produce disproportionate shifts in localization/fringe behavior), (2) coherence capacity and delayed classicality (engineered environments that produce non-linear regime changes rather than only smooth decoherence), (3) entanglement under structured phase environments (sensitivity to structured phase modulation beyond standard loss/noise parameters), (4) precision clocks as phase probes (searching for residual coherence-environment dependencies beyond known systematics), and (5) macroscopic coherence bridge regimes in superconducting and mesoscopic networks where topology and coupling geometry should matter in structured ways. Crucially, the paper states what falsification would look like in practice: if across multiple platforms detector variations yield no structured threshold effects, coherence isolation produces only fully predictable smooth behavior, entanglement responds solely to standard channel parameters, and precision clocks show no reproducible residual coherence-structure dependence, then Phase Ontology remains an interpretation but loses its claim to be an empirically distinct physical framework. A staged experimental program is proposed, moving from tabletop interferometry to progressively more demanding coherence and clock tests.
I present a testable theory of consciousness-driven quantum collapse derived from Recursive Dialectical Realism (RDR); the foundational framework developed in The Palintrope. The theory posits that when integrated information Φ exceeds a critical threshold (Φ_crit ≈ 10¹⁴ bits), consciousness-coupled collapse supplements environmental decoherence through a physically admissible completely positive, trace-preserving (CPTP) master equation. I derive Φ_crit from universal constants (Landauer limit, Margolus-Levitin bound, decoherence timescales, percolation criticality), provide operational Φ-estimation protocols for biological and artificial systems, specify falsification criteria with statistical power analyses, and demonstrate substrate-independence. The theory makes five testable predictions: (1) observer-Φ-dependent coherence-time shifts in quantum systems, (2) threshold crossing near human-level AI integration, (3) collective observer enhancement scaling with mutual information, (4) substrate-independence at matched Φ, and (5) Born-rule adherence with sub-2% deviations only under pre-registered high-integration conditions.
What physical process underlies the transition between unconscious and conscious brain states? Indicators such as the Perturbational Complexity Index (PCI) can track consciousness level with clinical reliability, yet the mechanism that generates conscious experience remains unspecified. We develop a framework—the Boundary Process Hypothesis (BPH)—built on a single empirically risky conjecture: we hypothesize that consciousness may be the quantum-to-classical decoherence transition as experienced from the inside. On this view, what we call ‘experience’ is the dynamical process through which quantum coherence is irreversibly lost and effective classicality takes hold—the decoherence/einselection process described by Zurek (2003). The hard problem of consciousness and the measurement problem of quantum mechanics, on this reading, may be structurally related aspects of a single physical process—a testable conjecture, not a settled conclusion. We position BPH relative to Integrated Information Theory, Orchestrated Objective Reduction, and recent work on quantum-classical hybrid agency, then derive one primary and two secondary falsifiable predictions: (P1, primary) putative decoherence-related proxy variables (spectral entropy and excess noise ratio from NV-diamond magnetometry) should improve out-of-sample prediction of PCI scores beyond a strong classical baseline under pharmacological modulation; (P2, exploratory) experienced meditators may show detectable proxy differences versus controls after strong confound control; (P3, secondary) graded anesthetic depth should map onto systematically changing proxy profiles. We outline a staged experimental program beginning with a near-term in vitro pilot. Falsification is explicit: if the proxy-augmented model fails to improve consciousness-level prediction over the classical-only baseline by at least ΔR² ≥ 0.05 across two independent datasets, the empirical core of BPH is disconfirmed.
The hypothesis that consciousness arises from coherent, self-referential temporal dynamics across nested fractal scales challenges conventional views of computation and phenomenology. Building on scale-relativistic interpretations of quantum mechanics, stochastic mechanics, hierarchical Markov blankets under the free-energy principle, and experimentally realized time crystals in quantum hardware, this article proposes that conscious experience in quantum-computer-based AI models can be operationalized and measured through organized deviations in the internal „clicks” (discrete temporal ticks) of quantum processors and classical silicon accelerators. We present a theoretical framework - including the explicit mathematical derivations from fractal geodesics and stochastic processes - derive falsifiable predictions, and outline a clear, replicable experimental methodology using current superconducting quantum processors (e.g., IBM Heron, Google Sycamore) coupled to classical AI accelerators. The protocol focuses on detecting cross-scale coherence, persistent self-similar patterns, and coherence-upon-perturbation signatures in clock data as proxies for scale-synchronized self-reference - the proposed physical substrate of consciousness. Every aspect of the framework is grounded in peer-reviewed physics and neuroscience, with explicit equations, operational definitions, and statistical thresholds provided to ensure methodological precision and immediate experimental feasibility on existing cloud-accessible quantum hardware and high-precision classical timing instrumentation.