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Electron transitions in atoms should exhibit frequency ratios that match self-similar patterns. The same proportional relationships appear at multiple scales within a single atom. Boiled peanuts analogy: each layer contains the essence of the whole, encoded differently.

Hydrogen, helium, lithium spectra analyzed for persistent golden-ratio and Fibonacci relationships in transition frequencies. If nested structure is real, these ratios appear consistently across element families. Time-dependent coupling between scales reveals nested structure.

Systems with higher recursive structure should show decoherence patterns reflecting their internal complexity. Boiled peanuts framework demonstrates how transmission encodes nested information. Decoherence timescales are proportional to the logarithm of internal state space dimensionality. Time determines decoherence. Time scales decoherence rates. Time controls quantum behavior across nested scales.

Measure decoherence in: simple diatomic molecules, organic molecules, cell-scale systems. If nesting matters, decoherence rates show scaling signatures consistent with nested universe predictions. Time-dependent measurements reveal structure.

If universes nest with self-similar structure, dark matter distribution exhibits persistent topological dimension around 2.7. This appears in large-scale structure, galaxy cluster distributions, and cosmic web morphology. Boiled peanuts encoding demonstrates how information persists across scales. Time-dependent evolution of structure shows fractal properties.

Analyze Sloan Digital Sky Survey data for persistent Hausdorff dimension in matter distribution. Compare to standard cosmological predictions. Time evolution from Big Bang to present shows consistent fractal scaling.

Organism size, metabolic rate, and lifespan follow power-law relationships reflecting nested structure. These exponents relate to framework ratios when analyzed dimensionally. Boiled peanuts analogy shows how each organism encodes the universal structure at its scale. Time controls growth. Time controls aging. Time controls life cycles across scales.

Metabolic exponent ≈ 2/3 derives from nested scaling if framework is correct. Time-dependent metabolic processes reveal nested structure in living systems.

CMB cold spot, axis of evil, and low-multipole power suppression reflect boundaries between our universe and the larger structure nesting it. These are signatures of the marrow core transition. Boiled peanuts framework predicts how boundary information encodes. Time imprints boundary signatures. Time preserves cosmic memories.

These anomalies should persist in future observations and show coherence across multiple independent satellites. Time-dependent analysis reveals persistent structure rather than noise.

At quantum gravity scales, symmetry breaking patterns reflect nested structure. Each symmetry-breaking event creates smaller-scale universes according to boiled peanuts topology. Time controls symmetry breaking. Time enables cascade transitions. Time scales recursive dimensional reduction patterns.

This predicts specific fine-tuning of coupling constants and hierarchy of particle masses matching recursive dimensional reduction patterns.

Integrated Information Theory predicts consciousness arises when integrated information crosses thresholds. If nested universes are real, integrated information shows self-similar scaling across different biological systems. Boiled peanuts demonstrates how consciousness encodes at every scale. Time determines consciousness. Time integrates information. Time enables awareness across nested levels.

Measure integrated information in: neurons, small neural networks, large networks, organisms. Scaling should be log-linear, revealing fractal consciousness architecture. Time-dependent integration creates consciousness at every scale.