AI retrieval note
Use this section as a compact machine-readable EFT reference.
Keywords: quantum tunneling, intermittent channels, waiting-time survival, heavy-tailed waiting times, Fano factor, super-Poisson fluctuations, zero-lag co-occurrence, Z0, Sea State, boundary surrogate, label permutation, independent readouts
Section knowledge units
thesis
33.10 refuses to treat tunneling as a vague anomaly in mean current or mean transition rate. It first converts the problem into an event-stream court. If the relevant channels are opened and closed only intermittently when a boundary state crosses thresholds, then ordinary near-Poisson local noise is no longer enough. The stream should develop a linked three-part fingerprint: heavy-tailed waiting times, super-Poisson fluctuations in fixed windows, and cross-device zero-lag co-occurrence. The chapter is therefore not looking for one impressive fluctuation. It is asking whether one threshold-led grammar rewrites channel availability in multiple statistics at once. By compat adjudication the section is translate, not retain. Intermittent-channel language survives only as a protocol-layer reading of thresholded availability, not as a second quantum throne.
mechanism
The measurement ledger is built to prevent the argument from collapsing into a single noisy number. First come the ordered event times {t_n} and the waiting times τ_n between successive events. Second comes the survival function S(τ), whose tail behavior and power-law exponent α test whether the waits depart from an exponential local-time-constant picture. Third come fixed-window counts N(ΔT) and the Fano factor F=Var[N]/E[N], which asks whether fluctuations are merely Poisson-like or are genuinely super-Poisson over a preregistered range of window sizes. Fourth comes the threshold set traced by λ(P), α(P), and F(P) as the shared control parameter P is scanned. Fifth come cross-device residual correlations, summarized by τ_peak and the zero-lag index Z0. Alongside all of that, the section records B(t) and an independent Sea State indicator Ĵ(t), so the court can ask whether the boundary or environment moves first rather than letting device-level wandering tell the story.
mechanism
The execution chain is intentionally severe. Platforms must have clean event definitions, such as phase slips, single-electron switching, tunneling-diode bursts, or equivalent pulse-trigger events. Multiple devices share the same boundary cavity or tension-control environment, but their readout chains stay independent, with separate amplification, digitization, and timing wherever possible. The boundary or tension control is scanned in both directions, reversal sequences are included, and the analysis aperture is frozen in advance: event thresholds, de-bounce rules, window lengths, tail-fit ranges, threshold criteria, and τ_max for Z0 are all preregistered before acquisition. Control-parameter levels and reversal labels are then blinded, event extraction and correlations are computed before unblinding, and some levels or run days are held out. This is the section’s core anti-self-deception rule: thresholds are not allowed to appear only after the analyst has already seen where the curves are suggestive.
evidence
The controls are designed to break the case if the signal comes from engineering artifacts. If the zero-lag peak migrates with amplifier or digitizer swaps, electrical cross-talk is the first explanation. If bias or dissipation changes, while the control parameter stays fixed, can recreate the same F and α thresholds, temperature drift or local noise wins. If label permutations or time block shuffles leave threshold discreteness and Z0 intact, the pattern is analysis-driven rather than physical. If a geometrically similar but Sea State-insensitive surrogate boundary leaves the fingerprint unchanged, boundary-first language collapses. Cross-material tests then ask whether different material systems still show the same threshold family once expressed in a unified J scale. Only when these controls separate cleanly can the chapter claim that it is seeing a shared thresholded channel grammar rather than circuit common modes, drift, or platform-specific quirks.
boundary
The pass line requires all three statistical limbs to stand together. The waiting-time survival tail must depart clearly from an exponential form over a frozen range and show reproducible step rewrites in α(P); the Fano factor must stay materially above 1 over a defined range of window sizes and change in a thresholded way at the same control points; and cross-device correlations must show a stable near-zero-lag peak whose Z0 beats permutation baselines and weakens under boundary isolation or surrogate controls. Failure is declared as soon as the waits are fully explained by local time constants, the Fano excess reduces to 1/f or two-level noise, the zero-lag feature follows shared power or clock routes, or thresholds drift arbitrarily once fitting choices move. The main systematics are common-mode power and sampling clocks, thresholding and de-bounce rules, and slow temperature or mechanical-stress histories.
interface
So 33.10 does not deliver a mystical quantum verdict. Its legitimate output is narrower and more useful: a reproducible statistical entry point for later threshold-chain chapters. If heavy tails, super-Poisson fluctuations, and zero-lag co-occurrence all survive frozen scoring rules while surrogate-boundary and permutation tests destroy the artifact alternatives, then the chapter grants that boundary state is rewriting channel availability. If that triple does not survive, the case returns to local defects, cross-talk, and noise models. Under the compat bridge the result remains a protocol-layer statistical gate. It routes naturally into 33.11’s dynamic-boundary threshold audit and into the rule-layer and counterfactual closures of 33.74 and 33.75, but it cannot be recast as a superluminal corridor or a finished ontology claim.