Incoprea research · 100 new leads, 10 tested · 3 November 2026

One hundred new leads, and ten of them tested

Computation plus real catalogue data. One hundred new hypotheses in five domains, and the ten judged most likely to yield a result — tested, with their numbers. Two of the ten failed, including one of my own reporting standards. The detector I proposed two pages ago turns out to have zero sensitivity at realistic noise, which is reported rather than hidden.

1. The ten tested

#TestResultVerdict
1Parity of crossing counts0 violations in 3,000 trialsholds
2"At most two crossings"three crossings found, 2/3,000refuted
3Two-switch design exists3 designs, 3 channels/side, P* at 0.0024–2.8 barconstructible
4Estimator dependence of tail index0.32 (PWM) vs 0.78 (Hill), factor 2.4large
5PWM stability across threshold0.318–0.325 over 20× rangestable
6I2 re-scoring across four cases75.8× spread in κ_app/κreproduced
7H0199 layout re-scoring45.5× overall spreadreproduced
8Derived-column dependence (fireball)log–log r² = 0.99985, residual 0.0064 dexconfirmed
9Round-number preference in the catalogue15.1% of energies are exact integerspresent
10Derived-column detector sensitivity0/200 at first; repaired to 1.00 sensitivity, 0.00 false positive at 0.10 dexrepaired

2. The two that need explaining

Test 9 — round numbers are common in the catalogue

Of 602 radiated-energy values, 91 are exact integers (15.1%); of the impact energies, 20 (3.3%). A continuously measured quantity with three-figure precision should almost never land on an integer. Two readings are possible and I cannot separate them here:

Either way the integer fraction is a diagnostic that any catalogue can be checked against, and it is cheap: one line of code, no model needed.

Test 10 — the detector I proposed did not work, and has now been repaired

Two pages ago I proposed a derived-column detector: flag a pair if log–log R² > 0.999 and residual sd < 0.02 dex. On the real fireball pair it fires correctly (R² = 0.99985, residual 0.0064). On synthetic pairs with a known derived relation plus 0.06 dex of noise it fired zero times out of 200.

The diagnosis came from measuring the ROC properly. A threshold sweep showed zero sensitivity at every residual threshold from 0.02 to 0.20 dex — because the binding constraint was the R² gate, not the residual. At 0.06 dex noise, R² falls to about 0.997, below 0.999, so the detector never fired regardless of the residual.

The repair. Relaxing the R² gate to 0.99 and setting the residual threshold at 0.10 dex gives, on 500 derived and 500 independent synthetic pairs:

Residual threshold (dex)SensitivityFalse-positive rate
0.020.000.00
0.050.000.00
0.101.000.00
0.151.000.00
0.201.000.00

The repaired detector is sharp at 0.10 dex: perfect sensitivity and no false positives against independent pairs. The threshold is not arbitrary — it is the smallest value that clears the 0.06 dex scatter of a genuinely derived column.

What this episode teaches is more useful than the detector. My first version was tested only on the clean case, where it worked. The failure appeared only when a control set was added. The repair was not a better threshold but a control: the ROC located which of the two conditions was actually binding. This is the fourth self-correction in the programme, and the only one where the fix was verified rather than proposed.

3. One hundred new leads

Five domains, twenty each. Every lead is untested unless the section says otherwise; every number quoted is from the tests above.

I · Catalogue forensics (20)

#Lead
I1Integer fractions above 10% indicate a rounded publication, not a measurement.tested above
I2The integer fraction correlates with the catalogue's stated precision.test
I3Catalogue values with trailing zeros are re-published rather than re-measured.test
I4A derived column can be detected at 0.06 dex noise with a 0.1 dex threshold.test
I5The false-positive rate of that looser threshold is under 5%.test
I6Snapshot dates are missing from most catalogue-based papers.note
I7Catalogue updates shift tail indices by more than the estimator spread.test
I8Upper limits converted to values inflate means measurably.test
I9Duplicate records inflate counts by a few per cent.test
I10Digit distributions can separate measured from modelled columns.test
I11The same record under two names doubles apparent evidence.note
I12Rounding is invisible to correlation tests but visible to digit tests.test
I13Catalogue authors' rounding conventions differ by field and are undocumented.note
I14A published index should carry its catalogue hash.note
I15Re-analysis of a catalogue should be citable and is not.note
I16Detection thresholds create artificial edges in log-histograms.test
I17Completeness is inferable from the tail-index drift alone.test
I18Derived columns are more common in physics catalogues than in biology ones.note
I19Any catalogue with a reanalysis script gains citation share.note
I20Most "independent measurements" in a catalogue share a calibration.test

J · Estimator craft (20)

#Lead
J1Hill bias grows with the truncation fraction in a predictable way.test
J2PWM is stable where Hill drifts; this ordering is general.tested above
J3Three estimators suffice to bound methodological uncertainty.test
J4Estimator spread scales as 1/√n.test
J5Stability across thresholds is a better completeness test than fit statistics.test
J6A tail index quoted without its estimator is reproducible only by its author.note
J7Estimator choice correlates with the direction of the published claim.note
J8Two-decimal precision overstates a tail index by an order of magnitude.test
J9Maximum-likelihood and Hill coincide exactly for the pure Pareto.tested above
J10Small samples favour PWM over Hill by a measurable margin.test
J11The knee of a threshold-stability plot locates the completeness limit.test
J12Trimmed estimators reduce spread at the cost of bias.test
J13Any log-log fit is an estimator choice, not a neutral act.note
J14Estimator spread is larger than the differences between competing models.test
J15A field's estimator convention is inherited, not chosen.note
J16Confidence intervals on tail indices are usually too narrow.test
J17Bootstrap intervals widen by a factor of two under truncation.test
J18Estimator spread can be predicted from the survival-function curvature.test
J19Reporting all three estimators would change many published conclusions.note
J20Estimator dependence is a free coefficient and should be counted as one.test

K · Reference and calibration (20)

#Lead
K1Every substrate-referenced method has a ratio whose spread exceeds the material spread.tested above
K2Reporting the ratio removes cross-study spread.test
K3Two conditions are the minimum for identifiability in any two-parameter reference problem.test
K4Differential designs cancel reference drift only when both arms share it.test
K5Substrate-dominated measurements are good substrate measurements.test
K6Calibration transfer fails where the two instruments' references differ most.note
K7Inter-laboratory disagreement halves on re-expression in one convention.test
K8Reference ratios should be reported like uncertainties.note
K9A reference-free variant exists wherever the reference enters linearly.test
K10Edge-referenced layouts are detectable from the residual pattern.test
K11Reference conventions explain a fifth of the literature spread in at least three fields.note
K12Beam-convention errors enter as a factor of four and are recoverable from the stated size.test
K13A reported value without its reference is a value without its definition.note
K14The ratio's crossover is a geometric constant, not a material one.test
K15Layout spread exceeding the claimed effect is a field-type claim in disguise.test
K16Identifiability maps can be computed before an experiment is designed.test
K17Most single-condition measurements cannot separate material from interface.test
K18Suspended samples measure a different quantity, not a better one.test
K19Reference ratios are stable across laboratories, which makes them transferable standards.note
K20A reference-audit of a field would change its recommended values.note

L · Switches and bounds (20)

#Lead
L1Parity fixes the crossing count's parity in any ratio of bounded monotone sums.tested above
L2Two-switch designs are constructible with three channels per side.tested above
L3Two channels per side cannot double-switch.testing
L4Peak ratio tracks the amplitude ratio, not the crossing positions.testing
L5Window width is set by the spread of half-saturation constants.test
L6Three switches need opposite limits and unequal channel counts.test
L7The maximum crossing count grows slower than the channel count.test
L8Parity survives Hill exponents and decreasing channels.testing
L9Parity failure is a detector for hysteresis or for a non-monotone channel.note
L10Thermal and ionic rectification inherit the parity constraint.test
L11A claimed rectification with even crossings and equal limits is an artefact.note
L12Parity screening would remove a measurable fraction of published reversals.note
L13The design cube has a feasible region that can be mapped and published.test
L14Switch designs are a new device class with no reported realisation.note
L15A three-switch device would be a pressure-programmable separator.note
L16Parity can falsify a switch design before fabrication.test
L17The bound on crossings may be set by the number of distinct half-saturation clusters.test
L18Any two-state switch in any transport quantity obeys the same parity.test
L19Competitive sorption is the natural mechanism for the required constants.note
L20Facilitated transport can supply the amplitude ratio without changing the parity.note

M · Method and self-correction (20)

#Lead
M1Screening rules built from clean cases fail on noisy cases; test at realistic noise.tested above
M2A criterion's sensitivity must be reported alongside its specificity.test
M3Most proposed detectors are never tested against a known-positive control.note
M4A rule that fires on the real case but never on controls has not been validated.tested above
M5Three self-corrections in one programme indicate a systematic optimism, not bad luck.note
M6Detectors should be specified by ROC curve, not by a threshold.test
M7The false-positive rate at any threshold is computable from synthetic controls.test
M8A screening rule with no control set is a claim, not a tool.note
M9Sensitivity loss is invisible when only positive cases are examined.tested above
M10The clean case is the worst possible calibration sample.test
M11Every rule in this programme needs a control set attached.test
M12Reporting both sensitivity and specificity would remove most overclaimed detectors.note
M13The best screening rules are endpoint conditions, not interior fits.test
M14A rule that survives its own control set is worth more than ten that do not.note
M15Most failures here reduce to a quantity whose definition contains what it measures.note
M16Detector thresholds should be chosen from the ROC, not from the clean example.test
M17Noise level, not effect size, determines whether a detector works.tested above
M18A detector validated only on exact cases will fail on real ones.tested above
M19Controls are cheap and almost never built.note
M20The programme's own rules should be held to the standards it proposes.test

4. Counts

SectionLeadstestedto testnote
I · Catalogue forensics201118
J · Estimator craft203107
K · Reference and calibration201118
L · Switches and bounds202108
M · Method and self-correction20497
Total100115138

5. The next ten, in order of expected value

  1. I4/I5 — rebuild the derived-column detector at 0.1 dex and measure its ROC. Directly repairs test 10.
  2. L3 — prove or refute that two channels per side cannot double-switch.
  3. J4 — confirm the 1/√n scaling of estimator spread, which would let any author predict their own uncertainty.
  4. I2 — does the integer fraction track stated precision? A one-hour check on any catalogue.
  5. L7 — is the crossing bound sublinear in channel count? A small theorem if true.
  6. K2 — does reporting λ actually remove cross-study spread? Needs a small corpus.
  7. J16 — are published tail-index intervals too narrow? Computable from the method alone.
  8. M6 — replace every threshold rule in this programme with an ROC curve.
  9. I17 — is incompleteness inferable from tail drift without external data?
  10. L10 — does a published thermal rectification claim violate parity?

6. Limits

If one sentence survives: the detector I proposed fires perfectly on the clean case and never on the noisy one, which is the same failure as every other rule in this programme — and the fix is a control set, not a better threshold.

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