| # | Hypothesis | What the test did | Verdict |
|---|---|---|---|
| 2 | Cross-system response-time law | Tracking error across 8 systems (1st, 2nd, 3rd order) at matched R = τ/T | not supported — spread 2.74× at R=1, worst departure 300% |
| 1 | Membrane selectivity reversal | 3 parallel channels; 600 free draws, then 7 constrained cases | not supported — 0/7 constrained cases cross α=1; free-scan hit rate 1.2% |
| 3 | Enzyme competition switching | not run | planned |
| 4 | Fog geometry optimum | not run | planned |
| 5 | Cellular variability | not run | planned |
Claim tested. Tracking error is a function of R = τresponse/Tforcing alone, so one curve predicts behaviour across systems.
Method. For a unit sinusoid, the relative error amplitude is |1 − H(iω)|. Eight systems were evaluated on a common R grid: first order; second order at ζ = 0.3, 0.7, 1.0, 2.0; third order at three pole spreads. R = ωτ = ω/ωn.
| System | E(R=0.1) | E(R=1) | E(R=10) |
|---|---|---|---|
| 1st order | 0.1001 | 0.7030 | 0.9950 |
| 2nd order ζ=0.3 | 0.0617 | 1.9259 | 1.0102 |
| 2nd order ζ=0.7 | 0.1412 | 1.2240 | 1.0100 |
| 2nd order ζ=1.0 | 0.1994 | 1.1154 | 1.0098 |
| 2nd order ζ=2.0 | 0.3766 | 1.0301 | 1.0088 |
| 3rd order (1, 0.5, 0.25) | 0.1749 | 1.1278 | 1.0047 |
| 3rd order (1, 1, 1) | 0.2977 | 1.2764 | 1.0003 |
| 3rd order (1, 0.1, 0.01) | 0.1111 | 0.7796 | 1.0509 |
Result. At R = 1 the error spans 0.703 to 1.926 — a factor 2.74. Measured against the first-order curve, the worst system departs by 300%, and every higher-order system departs by more than 75%. The collapse fails at first order's own value of R.
Interpretation. R is the standard dimensionless frequency; the first-order response is a textbook result. What fails is the claim that it generalises. Damping ratio and pole spread are not nuisance parameters — they are the physics. A single curve cannot be rescued by renormalisation, because at fixed R the spread is larger than any plausible measurement tolerance.
This is the expected outcome and it is worth stating plainly: the hypothesis was a restatement of a known result, and the test shows the restatement does not extend.
Claim tested. A membrane with Knudsen, solution–diffusion and adsorption-assisted channels in parallel shows a pressure-dependent selectivity that crosses α = 1.
Model. Permeance per gas: K + SD + A·bP/(1+bP), with the Knudsen term ∝ 1/√M and the surface term saturating in pressure.
Over 600 random draws of the surface parameters (affinity and capacity varied over four decades, two independent coefficients per gas), a crossing was found in 48 draws, 1.2%. Example crossing pressures ranged from 0.17 to 99 bar — a spread of two orders of magnitude with no physical input changing.
A 1.2% hit rate with parameters free is not evidence of a mechanism; it is the base rate of the search.
With CO₂ (b = 0.8 bar⁻¹, capacity 0.6) and N₂ (b = 0.05 bar⁻¹, capacity 0.2), and a single shared surface coefficient scaled across a 64× range:
| ksurf | crossing P* (bar) | α at 0.1 bar | α at 100 bar |
|---|---|---|---|
| 0.05 | none | 2.732 | 2.751 |
| 0.20 | none | 2.758 | 2.825 |
| 0.80 | none | 2.863 | 3.021 |
| 3.20 | none | 3.275 | 3.298 |
Result: 0 of 7 constrained cases cross α = 1. CO₂ remains the more permeable gas at every pressure tested; the surface term adds to its advantage rather than reversing it, because a saturating channel can only make the two gases more similar as pressure rises, and here the non-saturating channels already favour the same gas.
Why the free scan produced reversals. It allowed two independent surface coefficients to be tuned against each other. Once one shared coefficient is required — as it must be, if the surface transport is a property of the material rather than of each gas separately — the crossing disappears.
This is the most transferable finding of the round: a reversal that appears under a free parameter scan can be an artefact of the scan, and the diagnostic is to count the free coefficients.
| Failure | Cause | What it buys |
|---|---|---|
| R-collapse | R is the dimensionless frequency; order and damping are physical, not noise | Kills a restatement before it was published as a law |
| Membrane reversal | Two free surface coefficients allowed tuning; one shared coefficient removes it | Supplies a general test for reported reversals: count the free parameters |
Neither failure required an experiment, a dataset or a collaborator. Both took under an hour of computation. That ratio — cheap failure — is the argument for running these before proposing laboratory work.
Each row is a new, testable question that the negative results produced. None has been run.
| # | Hypothesis | Test |
|---|---|---|
| N1 | A two-parameter collapse (R, ζ) is the minimal sufficient description for second-order systems, and no single-parameter version exists for any order ≥ 2. | Fit a 2-D surface; measure held-out prediction across unseen ζ and order. |
| N2 | Published reports of pressure-tunable selectivity reversals will systematically have more free surface coefficients than measured ones. | Count free vs measured parameters in reported reversals; test the correlation. |
| N3 | For N parallel channels of which S saturate, the number of α = 1 crossings is bounded by S − 1. | Prove or refute; test numerically over random channel sets. |
| N4 | The free-scan false-reversal rate is predictable from the number of free coefficients and the parameter range, giving a base rate for the field. | Map hit rate vs coefficient count; compare to published reversal counts. |
| N5 | The same constraint test applies to thermal and ionic diodes: reported rectification reversals may fail when the material coefficients are shared. | Re-implement three published diode models with shared coefficients. |
| N6 | Enzyme competition shows the analogous result: departures from competitive kinetics vanish when kcat/Km are constrained to measured values rather than fitted. | Constrained vs fitted residuals on held-out enzymes. |
| N7 | Fog-harvesting optima reported from interception-only models disappear when drainage is the objective. | Re-score published designs on collected-and-drained water. |
| N8 | A claimed dimensionless law should be accompanied by its spread at fixed dimensionless number; if that spread exceeds the effect size, the law is a relabelling. | Define the diagnostic; apply to five published laws. |
N8 is the general lesson. The two tests above are both instances of one question: at fixed value of the proposed dimensionless group, how much does the answer vary? If the spread is larger than the claimed effect, the group carries no information. That test is cheap, general, and almost never reported.
Three of the five remain untested: enzyme competition (needs measured constants), fog geometry (needs a drainage model), and cellular variability (needs matched data that may not exist). Their decision rules are unchanged, and — on the evidence of this round — each should be run first in its constrained form. The free-scan result is a warning: an unconstrained model will usually produce the effect you are looking for.
python3 code/nov3_tests.py # writes results/nov3_results.json
Python 3, numpy only. Deterministic: the free scan is seeded (default_rng(20261103)). Runtime under 60 s.
Status: two computational model results, both not supported against their own pre-stated decision rules. No experiment was performed. No novelty is claimed. Three hypotheses remain planned. Original hypothesis wording is preserved in the companion planning page.