Quantum Predictions

Decoherence rate, where c = environmental noise correlation

Entangled pairs in the same noise environment decohere slower than pairs in independent environments. Synchronism treats entanglement as one extended phase pattern, so correlated noise preserves it. PRL 2024 reported 10× T₂ improvement with c ≈ 0.90. The formula predicts T₂ improvement = 1/(1−c) = 10×. Quantitative match. arXiv 2405.14685 independently confirmed shared-bath dephasing reduction.

Kill criterion: If T₂ does not scale as 1/(1−c) across controlled noise correlations, the model fails. Source: Session #232.

Bell violation decay with distance-dependent noise correlation

CHSH Bell violation decays exponentially but revives at specific distances determined by environmental geometry. arXiv 2508.07046 (“Geometry-Controlled Freezing and Revival of Bell Nonlocality”) matches this pattern directly. The oscillatory revival at distance nodes is confirmed by multiple sources.

Kill criterion: If Bell violation decay is monotonic (no revival at distance nodes), the geometric correlation model fails. Source: Sessions #235-237.

Measure EEG phase-locking values during consciousness transitions (anesthesia induction/recovery). Synchronism predicts that phase coherence should track γ ≈ 1 boundary crossing.

Falsification: If phase-locking values show no threshold behavior at the predicted coherence level, or if the transition is gradual rather than boundary-like, the γ ≈ 1 consciousness prediction fails.

Reanalyze Gaia DR3 wide binary star data for density-dependent anomalies in orbital dynamics. Synchronism predicts that wide binaries in low-density environments should show γ-dependent deviations from Newtonian predictions.

Falsification: If wide binary anomalies show no correlation with local density environment, the density-dependent γ prediction fails. Uses existing public Gaia DR3 data — no funding required.

Test whether RAR scatter in the SPARC galaxy sample correlates with environmental density (NP2 environment classification). Synchronism predicts environment-dependent scatter because γ depends on local N_corr.

Falsification: If RAR scatter is environment-independent (no NP2 correlation, p > 0.05), the environment-dependent γ prediction fails. Uses existing SPARC data.

Measure whether neural coherence follows circadian rhythms with γ-predicted periodicity. Synchronism predicts that the effective γ of neural ensembles should oscillate with sleep-wake cycles, tracking N_corr changes in cortico-thalamic loops.

Falsification: If neural coherence measures show no circadian modulation matching γ predictions, or if the periodicity doesn't match sleep architecture, the neural γ model fails.

Study whether minimal synthetic cells (JCVI-syn3.0 or similar) exhibit coherence signatures at the γ ≈ 1 boundary. Synchronism predicts that the minimal viable cell operates near the quantum-classical boundary because molecular recognition requires coherent binding.

Falsification: If minimal cells show no measurable quantum coherence signatures, or if their operational regime is far from γ ≈ 1, the biology-at-the-boundary prediction fails.

Test whether qubit T₂ coherence times across different quantum computing platforms correlate with N_corr-based predictions. Synchronism predicts that T₂ should scale inversely with the rate of environmental N_corrcoupling.

Falsification: If T₂ variations across platforms (trapped ion, superconducting, photonic) do not correlate with N_corr environmental coupling rates, the decoherence-as-MRH-crossing model fails.