Incoprea research · leads batch B · 3 November 2026

Reference-dependent measurement: 200 leads and three computations

All leads untested unless marked. Computation only. Two hundred leads on how a reference enters a measurement, in four sections of fifty, plus three computations that were actually run. The first re-derives the I2 bias factor from its own definition and finds that correcting for a reference cannot amplify λ's uncertainty — the 75.8× spread is a reporting failure, not a correction problem. The second shows that a differential design cancels only when the operator matches the reference's algebra and the arms are matched, and that the wrong pairing leaves a 36% or 200% error. The third finds a 12.3× spread across reference-placement layouts, but not between the layouts I expected.

0 · The structure being generalised

A substrate-referenced measurement reports a quantity against a reference rather than against an absolute scale. In the I2 record the relation is

kappa_app / kappa = R(lambda) = 1 / (exp(lambda) * E1(lambda))

with E1 the exponential integral and λ the ratio of the substrate's conductance to the film's. The function has a crossing at λ* = 0.4348, rises without bound, and approaches R ≈ λ. Every method in section A can be written in this shape with its own λ, its own crossing, and its own approach to the asymptote. The three properties that matter for reporting are:

The three computations below measure these properties, ask what cancels them, and ask what placement does to them.

A · Substrate and reference ratios: the λ structure and its analogues

The I2 record's bias factor R(λ) = 1/(eλ E1(λ)) is the template. It has three generalisable properties: a crossing at λ* = 0.4348, a monotone approach to R ≈ λ, and an elasticity bounded by 1. The leads below ask which other methods have the same structure, what their λ is, and whether it is stated.

#Lead
B1The bias factor of a substrate-referenced method crosses unity at a λ set by the measurement kernel, so the crossing can be located without knowing the material.test
B2A method whose reported value is within 10% of λ times the reference value for λ > 10 is measuring its reference, and its λ can be recovered from the reported value alone.test
B3For R(λ) = 1/(exp(λ) E1(λ)), d ln R / d ln λ equals R - λ and is therefore bounded by 1, so correcting a reference bias cannot amplify a reference uncertainty.test
B4The I2 four-case spread of 75.8× is reproducible from the four λ values to better than 0.1%, which makes λ a sufficient statistic for that spread.test
B5Every method with an additive reference has a bias factor linear in the reference, and every method with a multiplicative reference has a bias factor that is a ratio.test
B6An electrochemical potential referenced to a liquid-junction electrode carries the junction potential as an additive offset that changes with the electrolyte.test
B7In four-point conductivity the contact resistance is additive and cancels, while the probe-spacing reference is multiplicative and does not.test
B8The Bückle 10% rule in nanoindentation is a statement that the film-to-indentation depth ratio must exceed 10 for the film to dominate the reported hardness.test
B9Nanoindentation substrate effects and heat-spreading substrate effects share a dimensionless form, so one λ reporting convention could cover both.note
B10In AFM cantilever calibration against a reference cantilever the reference uncertainty enters once, not twice, because the comparison is a ratio.test
B11In ellipsometry the substrate dielectric function is the reference, so a 1% error in the substrate index can produce a larger thickness error than a 1% error in the measured angle.test
B12The Raman Si 520.7 cm⁻¹ line is a reference that shifts with temperature and strain, so a Raman calibration is only as good as its stated reference state.test
B13XPS binding energies referenced to adventitious carbon inherit the charging correction, so a 0.2 eV reference error appears as a 0.2 eV error in every peak.note
B14The δ¹⁸O scale is fixed by two reference waters, so any delta value is an affine function of the chosen standard pair.test
B15NMR chemical-shift referencing errors are constant offsets, so they can change a reported shift but not a coupling constant.test
B16pH is defined by primary buffer standards, so an electrode calibrated against a different buffer series reports an offset that is a property of the series.test
B17Changing the sound-pressure reference from 20 µPa to 1 µbar shifts every level by 74.0 dB, so a quoted level without its reference is unusable.test
B18Photometric quantities referenced to a blackbody change when the reference temperature changes, and the change is wavelength-dependent.test
B19In qPCR, ΔΔCt is a ratio of ratios and cancels template loading only when the reference gene and the target share an amplification efficiency.note
B20Flow-cytometry MESF units are bead-referenced, so an instrument-to-instrument comparison in MESF is a comparison of two bead calibrations.test
B21An immunoassay standard curve transfers between plates only when the fit shares its asymptotes, not merely its midpoint.test
B22Isotope-ratio mass spectrometry cancels sample size through the ratio but not mass bias, which is multiplicative per isotope and therefore partly survives.note
B23Internal-standard quantification cancels injection volume but not ionization suppression, because suppression acts on analyte and standard differently.note
B24Standard addition cancels a multiplicative matrix effect only while the response is linear; curvature converts the cancellation into a bias.test
B25Retention-index referencing transfers retention across chromatographs but not selectivity, so a peak identity can transfer while a resolution cannot.test
B26In differential scanning calorimetry the reference pan defines the baseline, so the reference pan's heat capacity enters the measured heat flow.note
B27Thermogravimetry referenced to an empty crucible cancels buoyancy only when the sample and reference volumes match.test
B28In dilatometry the pushrod and the reference specimen expand together, so the measured expansion is a difference whose reference coefficient is a systematic.test
B29In gas sorption the dead volume is a geometric reference, so its error scales with pressure and mimics a capacity error.test
B30In neutron scattering the vanadium reference sets absolute intensity, so a 1% reference error is a 1% error in every absolute cross-section.test
B31In photoluminescence quantum yield the reference dye's stated yield enters linearly, so a 5% reference error is a 5% yield error.note
B32In radiometry the cryogenic radiometer is a primary reference, so a chain from it adds uncertainty but no multiplicative bias.test
B33In solar-cell efficiency the AM1.5G spectrum is a stipulated reference, so an efficiency without a spectral-mismatch correction is not comparable across laboratories.note
B34In resistance thermometry the ratio R(T)/R(273.15 K) cancels the sensor's absolute resistance, so a 1% absolute error cancels while a 1% ratio error does not.note
B35In quantum-Hall resistance metrology the reference is a quantum ratio, so the calibration chain has no material reference and no λ.test
B36The kilogram's redefinition moved its reference from an artifact to a constant, which removes drift but leaves the traceability chain intact.note
B37In frequency metrology the reference is a transition, so a frequency ratio is measurable without a material standard and is the cleanest available reference-free ratio.note
B38Acoustic thermometry measures the Boltzmann constant directly, so its reference is a constant and its λ should be 1 by construction.note
B39Any method whose reference is a fundamental constant has λ = 1 by definition and cannot exhibit reference-ratio spread.note
B40The number of references in a traceability chain, not the number of laboratories, sets the multiplicative uncertainty of the final value.test
B41A reference ratio reported without its definition, such as which conductance or which area, is not a number another laboratory can use.note
B42In 2D-material thermal measurements λ is set by spot size over thermal length, so one sample measured with two spot sizes has two λs and two reported conductivities.test
B43If λ is set by geometry rather than by material, the reference correction can be computed from a micrograph without a second measurement.test
B44Methods that report a ratio of two measurements on the same sample carry λ in both numerator and denominator and therefore reduced reference sensitivity.test
B45Methods that report one measurement against a stored reference have no cancellation at all, so their λ enters once and fully.test
B46The same quantity measured by a ratio method and by a single-ended method should differ by exactly the ratio of their bias factors, which is testable on paired data.test
B47Reference-ratio spread across a literature should exceed material spread whenever the reference is not reported, which is testable from the reported values alone.note
B48A field that reports its reference ratio should show smaller inter-laboratory scatter than a field that does not, after controlling for material.note
B49The λ structure is a dimensionless group, so dimensional analysis should predict the crossing of any new method before it is measured.note
B50In transient hot-wire thermal conductivity the wire's temperature coefficient is the reference, so a 1% error in it is a 1% error in the reported conductivity at every time point.test

B · Differential and ratiometric designs that cancel or amplify a reference

A differential or ratiometric design is a claim that the reference cancels. Whether it does depends on the algebra of the reference, the algebra of the operator, and the match between the two arms. The leads below separate those three questions, which are usually conflated.

#Lead
B51Differencing two arms that share an additive reference cancels it exactly only when their gains are equal, and a 1% gain mismatch leaves 1% of the reference in the output.test
B52A shared reference with a 0.1% gain match rejects common-mode reference drift by 60 dB, which beats independent references drifting at 1% by 20 dB.test
B53Ratiometric division cancels a multiplicative reference exactly and an additive one not at all, so the operator must match the algebra of the reference.test
B54Applying a ratio to an additive reference leaves a 36% error at X1 = 5, X2 = 2 and B = 3, while applying a difference leaves none.test
B55Applying a difference to a multiplicative reference scales the answer by the reference, a 200% error at B = 3, while a ratio leaves none.test
B56A differential design whose two arms see different references cannot cancel anything, regardless of how well its gains are matched.test
B57The common-mode rejection of a differential front end degrades in proportion to source-impedance mismatch, not gain mismatch, when the reference is a current.test
B58Chopping at frequency f moves a reference drift out of band only when the drift spectrum falls faster than 1/f squared above f.test
B59Autozeroing samples the reference offset once per cycle and therefore aliases low-frequency reference noise instead of removing it.note
B60Correlated double sampling removes reset noise but not reference drift, because the drift is correlated between the two samples.note
B61A Wheatstone bridge cancels excitation drift because all four arms share the excitation, so bridge accuracy is set by the ratio arms rather than by the source.note
B62A bridge with three matched arms and one unknown contains a reference ratio whose tolerance enters the result at first order.test
B63Double differencing with three electrodes cancels a linear drift and leaves the quadratic term, so the residual scales as the square of the drift rate.test
B64Two identical reference electrodes reduce drift by the square root of 2 only when their drifts are independent, and by nothing when they share a junction.test
B65A quasi-reference electrode's drift is common-mode to a differential pair, so it cancels in the difference but not in the absolute potential.test
B66Lock-in detection references phase rather than magnitude, so a 1 degree phase error attenuates the amplitude by 0.015% and leaks 1.7% of the quadrature component into it.test
B67Null-balance measurement transfers accuracy from the detector to the standard, so a null method's reference uncertainty is the standard's uncertainty and nothing else.test
B68The substitution method cancels instrument drift because unknown and standard are read at the same setting, so drift between them is second order.test
B69Transposition, swapping sample and standard, cancels a linear drift term but not a drift that changes sign with position.test
B70Reversing polarity cancels a constant offset and leaves any offset that is odd in the applied field.test
B71Two-point calibration cancels offset and gain and leaves curvature, while three-point calibration leaves the cubic term.test
B72Bracketing a measurement with standards before and after reduces drift error to the interpolation residual, which scales with the square of the bracketing interval.test
B73A ratiometric sensor whose denominator can approach zero has unbounded reference sensitivity near the zero, so its useful range excludes that point.note
B74Ratiometric fluorescence cancels excitation power but not photobleaching, because bleaching acts on the indicator and not on the reference.test
B75Dual-wavelength absorbance cancels a scattering background only when the background is flat across the wavelength separation.test
B76An isosbestic point is a reference wavelength at which the ratio is insensitive to the analyte, so a two-wavelength ratio uses it as the denominator.test
B77A ratio of two emission lines in thermometry cancels probe concentration and detector gain only when both lines share the same collection path.note
B78Raman band ratios cancel laser power but not the instrument's wavelength-dependent response, which is a multiplicative reference of its own.test
B79Standard addition is a differential design in concentration space, so it cancels a multiplicative matrix effect but amplifies a calibration-curvature error.test
B80An internal standard cancels a multiplicative loss only when the loss is the same for analyte and standard, which fails at every chromatographic separation.test
B81A double ratio of four measurements cancels two multiplicative references, so it should be the default design when source and detector both drift.note
B82A reference channel fed into the subtraction with gain greater than 1 amplifies the reference instead of cancelling it, by the channel gain ratio.note
B83Differencing adds the two arms' independent noises, so it improves signal-to-noise only when the reference noise exceeds the arm noise.test
B84A differential design halves the signal when the two arms are in antiphase, so its signal-to-noise gain requires reference noise larger than the signal.test
B85The reference-induced error of a differential design is bounded by the product of the gain mismatch and the reference-to-signal ratio.note
B86A ratiometric design's reference error is bounded by the relative error of the denominator, so a noisy denominator is worse than no ratio at all.test
B87Photon-shot-noise-limited ratiometric detection has the square root of 2 times the noise of a single channel at equal total photon number.test
B88Balanced homodyne detection reaches shot-noise-limited sensitivity only when the local-oscillator's excess noise is suppressed by the balance.test
B89Common-mode range rather than rejection ratio limits a differential design when the reference is large, because beyond the range the output clips and the error exceeds the single-ended one.note
B90Any differential design converts a common-mode systematic into a differential signal at second order, so the residual scales with the square of the mismatch.note
B91A ratiometric design applied to an additive reference converts a constant offset into a concentration-dependent error, which is worse than a constant bias.test
B92The optimal reference-sharing strategy depends on whether reference noise is correlated across arms, not on the magnitude of the reference.test
B93Two references that are the same electrode but read by different amplifiers are not shared references, because the amplifier gains differ.test
B94A differential measurement of a quantity that is itself a ratio needs the logarithm of the ratio, not the difference, to be reference-invariant.note
B95Log-ratio designs cancel multiplicative references exactly and additive ones not at all, mirroring the linear case with the operators exchanged.test
B96The reference effect in a differential design can be measured by deliberately mismatching one arm and extrapolating the mismatch to zero.test
B97A design that cancels the reference also cancels any genuine common-mode signal, so it cannot distinguish reference from signal without a third measurement.test
B98Three-arm designs can cancel an additive and a multiplicative reference together, which two arms cannot, at the cost of one more independent noise.test
B99The best reference strategy for an instrument is set by the ratio of reference drift to arm noise, not by the instrument's precision specification.note
B100Any claim that a design is reference-free is falsifiable by changing the reference and checking that the output does not move.note

C · Calibration transfer between instruments and laboratories

Transfer is the reference problem at institutional scale. When two laboratories disagree, the question is whether their references differ or their materials do, and most transfer protocols cannot distinguish the two.

#Lead
B101Inter-instrument transfer error is bounded below by the ratio of the two instruments' reference responses at the calibration point.test
B102A single-wavelength standardization transfers a calibration only when the response is linear over the transferred range.test
B103Piecewise direct standardization needs transfer samples that span the calibration range and fails by extrapolation outside it.test
B104A 1 nm wavelength-registration error produces an error proportional to the first derivative of the spectrum, so sharp bands transfer worse than broad ones.test
B105Detector nonlinearity cannot be transferred by any linear model because it is a function of intensity rather than of wavelength.test
B106Stray-light differences between instruments set a transfer floor that no post-hoc correction removes.test
B107Two laboratories using the same reference material but different reference ratios disagree by exactly the ratio of their λs.test
B108Reporting λ should let two laboratories reconcile without exchanging samples, which is testable on paired data with known geometry.test
B109A transfer standard must be more stable than the effect being compared, or the comparison measures the standard's drift.test
B110Round-robin comparisons that do not split samples confound the laboratory effect with sample heterogeneity.note
B111Split-level designs separate laboratory bias from sample-lot variance with two materials rather than many.note
B112Regression of method B on method A attenuates the slope toward zero when both methods have error, so a slope below 1 is not evidence of proportional bias.test
B113Deming regression removes the attenuation only when the ratio of the two error variances is known.test
B114Passing-Bablok slopes are robust to outliers but not to a nonlinear response, for which they still report a slope.test
B115Bland-Altman limits of agreement are a property of the paired sample as much as of the methods, and change when the sample range changes.test
B116An uncertainty chain of k independent comparisons grows as the square root of k, while a chain of k correlated comparisons grows as k.note
B117A ratio of two laboratories' values has smaller relative uncertainty than either absolute value when the reference is common.test
B118A ratio across laboratories with different references has larger uncertainty than either absolute value, because the references do not cancel.note
B119Daily calibration against a single standard transfers gain but not offset, so offset drift accumulates unchecked.test
B120Bracketing every batch with standards reduces drift to the interpolation residual at a cost of two measurements per batch.note
B121Event-triggered recalibration detects drift later than scheduled recalibration but consumes fewer standards.test
B122A Shewhart chart with 3σ limits detects a 1σ shift only after about eight points, so it is not a transfer check.note
B123A reference material's certified uncertainty enters a laboratory's budget once per traceability link, not once per measurement.note
B124Key-comparison degrees of equivalence are ratios to a consensus value, so they cancel any reference error common to the participants.test
B125The Birge ratio detects dark uncertainty only when the claimed uncertainties are smaller than the observed scatter.note
B126An Eₙ score below 1 is evidence of agreement only when both uncertainties are honest, which the score itself cannot test.note
B127Matrix-matched calibrants transfer better than synthetic ones whenever the matrix affects the response multiplicatively.test
B128A synthetic calibrant transfers an additive matrix effect not at all, because the effect is absent from the calibrant.test
B129Retention-index transfer works across instruments because the index is a ratio to a homologous series, which cancels the column's absolute retention.test
B130Chemical-shift transfer across NMR spectrometers works because the field is the reference, so the ratio is field-independent.test
B131A plate calibrator in qPCR transfers well-to-well variation but not assay efficiency, so it cannot remove a ΔΔCt bias.test
B132Reference-gene stability must be shown per tissue, so a transfer between tissues is a new calibration rather than a transfer.test
B133Bridging two ELISA plates with a shared control transfers the standard curve only when the control sits on the curve's linear part.test
B134Serology unit conversion through a WHO standard is a multiplicative transfer, so it cannot correct a specificity difference between assays.test
B135A certified reference material transfers a value rather than a method, so a laboratory can be traceable and still wrong for its matrix.note
B136In isotope-ratio metrology the delta scale is transferred by two anchors, so a single-anchor transfer leaves a scale error.test
B137A geochronology reference material transfers an age, so an error in the reference age is a common systematic across every laboratory that uses it.note
B138A thermal-conductivity reference material transfers a value at one temperature and thickness, so transfer to another thickness is an extrapolation.test
B139Transferring a 2D-material measurement between substrates changes λ and can change the reported conductivity by more than the material difference.test
B140Tip calibration transfer between AFMs works only when both tip radii are measured, because the contact area is the reference.test
B141Flow-cytometry MESF transfer between instruments requires the same bead lot, or the transfer measures bead variability.test
B142HbA1c standardization succeeded because the measurand is defined as a ratio of two species, so the reference cancels inside the definition.note
B143Cholesterol standardization needed a reference method as well as a reference material because the matrices differed.note
B144A field that standardizes its reference material but not its reference ratio should still show laboratory-dependent scatter.note
B145Residual scatter after transfer is predicted by the spread of λ across instruments, which is computable from calibration records.test
B146An empirical transfer function between two instruments is underdetermined whenever their λs differ, because two parameters are fitted to one degree of freedom.test
B147Transferability can be predicted before any samples are exchanged, from the two instruments' reference responses alone.test
B148Interlaboratory scatter of ratios should be smaller than that of absolute values by the ratio of the reference variabilities.test
B149A laboratory that publishes its raw reference reading can be transferred without a transfer standard, because the correction can be recomputed.note
B150Instrument metadata sufficient to compute λ would make most transfer standards unnecessary, and is almost never recorded.note

D · Reporting standards: what a measurement must state to be reproducible

A reporting standard is the list of quantities without which a number cannot be recomputed. Each lead below is a candidate entry, falsifiable by attempting reproduction without it.

#Lead
B151A measurement that does not state its reference is not reproducible, because the same number corresponds to many different quantities.test
B152A reference's own uncertainty should be reported separately from the measurement's repeatability, or the budget cannot be reconstructed.test
B153A reported value should state the linear range over which its calibration holds, because outside that range the value is an extrapolation.test
B154The calibration model's order should be stated, because a quadratic and a linear fit give different values from the same standards.test
B155The number and values of calibration standards should be reported, because two standards cannot detect curvature.test
B156The bracketing interval and the drift observed across it should be reported with any drift-corrected value.test
B157An R² value should never be reported without residuals, because a high R² is compatible with a structured residual.test
B158The reference state, including temperature, pressure and concentration, should be reported with every reference-dependent value.note
B159The blank's definition should be reported, because blank can mean solvent, matrix, or empty cell.test
B160The subtraction operator and its noise cost should be reported, because subtraction doubles variance when the readings are independent.test
B161Whether replicates are independent should be stated, because replicates on one spot estimate precision rather than reproducibility.test
B162The spot size relative to the substrate's thermal length should be reported, because it determines λ.test
B163The reference-placement geometry should be reported, because layout can change the answer by more than the effect being claimed.test
B164The statistical model, fixed or random laboratory effects, should be stated, because the two give different uncertainties from the same data.test
B165A complete uncertainty budget, with each contribution and its distribution, should accompany any value claimed to two significant figures.test
B166The coverage factor should be stated, because a 95% interval and a 1σ interval differ by a factor of about two.note
B167The detection limit's definition should be stated, because the 3σ blank and 3.3σ calibration definitions differ by 10%.test
B168Whether the detection limit came from the blank or from the calibration line should be stated, because the two are different quantities.test
B169Values below the detection limit should be reported as censored rather than as zero, or the mean is biased upward.test
B170Significant digits should match the stated uncertainty, because four digits with a 5% uncertainty is a false precision claim.test
B171A ratio should be reported with its numerator and denominator defined, because fold change alone does not identify a quantity.note
B172A fold change should state its reference condition, because inverting the comparison inverts the number.test
B173Anisotropic properties should state their direction relative to the measurement geometry, because in-plane and cross-plane differ by the anisotropy factor.test
B174The reference material's lot should be reported, because lot-to-lot variation is a component of uncertainty.test
B175The reference electrode's type, filling solution and junction should be reported, because the junction potential is part of the value.note
B176The reference temperature for dB, ppm or ppb should be stated, because the same ratio gives different values at different reference temperatures.note
B177The sign convention should be stated, because a convention error is a factor of minus one that survives every numerical check.note
B178Whether a value was interpolated or extrapolated should be stated, because extrapolation uncertainty is not bounded by the calibration data.note
B179Any reference correction that was applied should be reported with its size, so that a reader can undo it.test
B180The covariance between numerator and denominator should be reported for any ratio, because a shared reference makes them correlated.test
B181Ignoring numerator-denominator covariance in a ratio understates its uncertainty by up to a factor of two.test
B182Both the bias factor and λ should be reported, because a bias factor at fixed λ is not comparable across materials.note
B183A measurement should report the value it is traceable to and the number of links, because each link multiplies the uncertainty.test
B184Software version and fitting algorithm should be reported, because two algorithms on the same data can differ by more than the effect.note
B185Raw data should be deposited with the derived value, because the reference correction cannot be checked without them.test
B186The sample's thermal and electrical history should be reported, because hysteresis makes the reference state path-dependent.test
B187The environment, including humidity and atmosphere, should be reported when the reference material is hygroscopic.note
B188A reference-free claim should be accompanied by a demonstration that changing the reference did not change the value.note
B189The uncertainty of a ratio should be reported as a ratio uncertainty rather than converted to an absolute one, which requires the denominator.test
B190A reference declaration should be a required field in machine-readable metadata, not a sentence in a methods section.test
B191Journals should require the reference ratio λ in the abstract of any substrate-referenced measurement.note
B192A value that cannot state its λ should state a bound on λ, because a bound is enough to bound the bias.note
B193Reference-dependent values should be reported alongside their bias factor, because the factor is what makes them comparable.test
B194The reference's stability over the measurement time should be reported, because drift is not captured by a single uncertainty.test
B195Calibration dates should be reported relative to the measurement, because a calibration certificate has an expiry that matters.test
B196The reference's spatial uniformity should be reported when the reference is a substrate, because a non-uniform reference is a layout-dependent bias.note
B197Interlaboratory comparisons should report each participant's reference ratio, because a spread in λ explains a spread in values.note
B198A reported value should be accompanied by the quantity it is a value of, because conductivity without a direction or method is not a quantity.test
B199A reporting standard should be tested by whether two laboratories can reproduce a value without contacting each other.test
B200The minimum reporting set for a reference-dependent measurement is the value, its reference, the reference ratio, the calibration model and the uncertainty budget.note

Tests run

Three computations, all in incoprea_nov3/code/refmeas_tests.py, writing incoprea_nov3/results/reference_measurement.json. Test 1 is closed-form; tests 2 and 3 are simulations with stipulated parameters. No measured data are used anywhere on this page.

1 · How a reference ratio propagates into a reported quantity

R(λ) was evaluated by Gauss–Legendre quadrature of E1 (500 nodes, no lookup table, no scipy). As an external check on the implementation, the four λ values quoted in the I2 record were re-evaluated: the computed R agrees with the recorded values to 0.023%, and R(0.4348) = 0.99998, which recovers the stated crossing to five digits.

λR = κapp/κR/λ|d ln R / d ln λ| κ error from 10% λ errorλ precision for a 2× claim
0.010.245224.51870.23522.4%295%
0.030.328010.93170.29803.0%233%
0.06250.41626.65980.35373.5%196%
0.10.49644.96370.39644.0%175%
0.20.66963.34820.46964.7%148%
0.43481.00002.29990.56525.7%123%
11.67691.67690.67696.8%102%
33.81561.27190.81568.2%85%
1010.92141.09210.92149.2%75%
19.220.15461.04970.95469.5%73%
30.631.57011.03170.97019.7%71%
100100.99031.00990.99039.9%70%

What the table says. Over λ = 0.01 to 100 the bias factor spans 412× (0.2452 to 100.99). The elasticity is bounded by 1 everywhere — its maximum is 0.9903 at λ = 100 — so a 10% error in λ produces at most a 9.9% error in the corrected κ. Even at λ = 0.01, where R = 0.245 and the correction multiplies by 4.1, a 10% λ error moves the corrected value by only 2.4%.

The matrix. The next table gives the ratio two laboratories would report if their materials were identical and only their λ differed. The diagonal is 1 by construction.

reported ratio, equal true κλ₂ = 0.0625λ₂ = 0.4348λ₂ = 3λ₂ = 30.6
λ₁ = 0.06251.00002.40249.166875.8462
λ₁ = 0.43480.41621.00003.815731.5709
λ₁ = 30.10910.26211.00008.2740
λ₁ = 30.60.01320.03170.12091.0000

The largest entry is 75.85× (λ₂ = 30.6 against λ₁ = 0.0625), which reproduces the I2 record's 75.8× to three digits. The matrix's own max/min is 5753×, the square of that, because the matrix contains both directions of comparison. This is a consistency check on my implementation of the record's relation, not a new measurement.

The expectation this contradicted. I expected the correction to be hypersensitive below the crossover, where R is small and the correction factor is large. It is the opposite: the elasticity falls toward zero as λ → 0 (0.235 at λ = 0.01) and rises toward 1 as λ grows (0.990 at λ = 100). A large bias factor and a large sensitivity are not the same thing, and the reference-dominated regime is the one where the correction is most stable.

2 · When a differential design cancels the reference, and when it does not

Two arms, stipulated values X₁ = 5, X₂ = 2, reference B = 3, unity gains. The reference is either additive (S = G(X + B)) or multiplicative (S = G·B·X). Each is measured with a difference and with a ratio. The table is arithmetic, not simulation.

Reference algebraOperatorEstimateTargetError
additivedifference3.00003.0000+0.0%
additiveratio1.60002.5000-36.0%
multiplicativedifference9.00003.0000+200.0%
multiplicativeratio2.50002.5000+0.0%

Only the matched pairing cancels: a difference for an additive reference, a ratio for a multiplicative one. The mismatched pairings are not mildly wrong — a ratio applied to an additive reference is off by 36%, and a difference applied to a multiplicative reference is off by 200%, because the reference multiplies the answer instead of cancelling.

Now the imperfect case: a shared additive reference with a fractional gain mismatch ε. The residual leakage is ε·(X+B) while the single-ended reference term is (X+B), so the rejection is 1/ε — independent of the reference's size.

Gain mismatch εRejection (dB)Equivalent reference driftVerdict
0∞0.00%exact cancellation
0.000180.00.01%beats 1% reference drift by 40 dB
0.00160.00.10%beats 1% reference drift by 20 dB
0.0140.01.00%ties 1% reference drift
0.120.010.00%worse than 1% reference drift by 20 dB

The independent-reference baseline is 1% drift, which is 40 dB. A Monte Carlo with 20,000 trials at ε = 1%, 1% arm noise, and a reference drawn over 1–5 gives a mean leakage of 0.00996 against the predicted 0.01000 (40.04 dB). With the arm noise included the RMS leakage is 0.01735, or 35.2 dB, so at this noise level the practical floor is about 35 dB, not 40.

The expectation this contradicted. The working rule was that a differential design cancels the reference "when both arms share it". Sharing is necessary but not sufficient: at 1% gain mismatch a shared reference leaks exactly as much as a pair of independent references drifting at 1% (both 40 dB). The rule has to be stated as sharing and matching, with the break-even at ε = ΔB/B.

3 · Reference placement: how much of the answer is layout

A one-dimensional abstraction of the reference-placement problem: field f(u) = exp(−u/L) with L = 20 mm, a target at u = 0, and twelve reference points reading r(u) = f(u)·(1 + b·exp(−u/ubl))·(1 + ση), with σ = 1%, b = 0.3 and η Gaussian. The bracket is a boundary artefact that decays over ubl. The estimator is a least-squares line through ln r against u, extrapolated to u = 0. Four layouts (all stipulated): 2–18 mm ("edge"), 5–60 mm ("grid"), two clusters at 3–6 and 24–30 mm ("interleaved"), and 30–60 mm ("far"). RMS percentage error over 4,000 draws:

ubl (mm)edgegridinterleavedfar spreadbest layout
26.441.064.381.426.06×grid
517.445.3015.031.4212.27×far
1024.7212.1622.892.838.74×far
2028.2820.4827.4311.452.47×far
4029.5126.3229.2221.731.36×far

The spread peaks at 12.3× (ubl = 5 mm), where the edge layout is wrong by 17.4% and the far layout by 1.4%. At ubl = 2 mm the best layout is the grid (1.06%), and from ubl = 5 mm upward it is the far layout. At ubl = 40 mm every layout is wrong by 22–30% and the spread collapses to 1.36×: when the boundary artefact is flat across the whole domain, no placement removes it.

The amplitude sweep at ubl = 5 mm shows the same thing from the other side. With b = 0 the spread is only 2.86× and the interleaved layout wins (0.50% against 0.64% for edge), which is a noise-leverage effect. By b = 0.5 the spread is 20.50× and the far layout wins by a wide margin.

bedgegridinterleavedfarspreadbest layout
00.640.620.501.422.86×interleaved
0.052.941.072.531.422.74×grid
0.15.801.875.001.424.09×far
0.211.593.5810.001.428.17×far
0.317.445.3015.031.4212.27×far
0.529.268.7225.201.4320.50×far
The expectation this contradicted. I expected the interleaved layout to beat the edge layout once the boundary artefact was present, following the H0199 claim of roughly a 10× advantage. In this model it never does: interleaved wins only in the noise-only limit, by 1.3×, and as soon as b > 0 the ranking is set by distance from the boundary, not by interleaving. The layout spread is real and reaches 12.3×, but it is not the effect that was claimed.

Counts

SectionLeadstestnote
A · Substrate and reference ratios503317
B · Differential and ratiometric designs503713
C · Calibration transfer503416
D · Reporting standards503416
Total20013862

Tags are editorial: test marks a lead that can be attacked with a computation, a dataset, or a re-analysis already to hand; note marks one that needs a literature sample, a new measurement, or an institutional change. A "test" tag is not evidence that the lead is true.

Limits

If one sentence survives: a reference biases a reported value but does not amplify its own uncertainty, so the 75.8× spread between equal materials is a failure to report λ rather than a failure of the correction — and a differential design cancels that bias only when the operator matches the reference's algebra and the arms are matched to better than the reference's own drift.

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