In plain language
A paper said all particle mass ratios match numbers made from powers of two, three, and five. This audit found the claim does not hold up. The matches are no better than random chance.
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#Statistical Audit of the Pythagorean Semigroup Mass-Ratio Claim
Author: Rowan Brad Quni-Gudzinas (QNFO Research) | Date: 2026-07-31 Program: ACRP-04 | License: QNFO-ULA
#Abstract
The Adelic Cross-Domain Program v3.2 claims that the Pythagorean semigroup $\mathcal{P} = \{2^a 3^b 5^c \mid a,b,c \in \mathbb{Z}\}$ encodes all Standard Model mass ratios to within 2% (nine fitted ratios, maximum claimed deviation 0.29%, exponent bound $|a|,|b|,|c| \leq 14$). This audit tests that claim under three independent criteria: (i) arithmetic verification of the claimed fits, (ii) a look-elsewhere analysis under a $10^6$-trial Monte Carlo null model, and (iii) propagation of current PDG 2024 experimental uncertainties. A fourth criterion — a pre-registered neutrino mass-squared splitting prediction — was registered before computation. Verdict: the fit is consistent with a look-elsewhere artifact. Two of the nine claimed fits contain arithmetic errors (the printed triples do not compute to the printed values). Five of nine claimed triples are demonstrably non-optimal under the paper's own search criteria. Under the null model, 99.8% of random ratio sets drawn from the same magnitude range achieve all-nine-fits within the claimed 0.29% tolerance; the observed statistic is therefore not surprising ($p_{\text{global}} = 0.116$, Bonferroni-adjusted $p = 1.0$). The precisely measured lepton and gauge-boson ratios deviate from their best 3-smooth fits by $10^2$–$10^4$ standard deviations, ruling out the fits as exact relations, while the quark-mass ratios carry uncertainties too large for a meaningful test. The pre-registered neutrino prediction passes trivially — it is consistent with the null model and therefore carries no confirmatory power. The Pythagorean mass-ratio program is published herewith as a bounded numerological risk, not a demonstrated law.
Keywords: 3-smooth numbers, mass ratios, look-elsewhere effect, numerology, PDG, Monte Carlo
#1. The Claim Under Audit
#1.1 Statement (v3.2 §7.2, verbatim structure)
"ALL Standard Model mass ratios are Pythagorean ($2^a \cdot 3^b \cdot 5^c$) to within approximately 1%."
Nine ratios are fitted, with maximum claimed deviation 0.29%. The paper's own §7.4 acknowledges the semigroup is dense in $\mathbb{R}_+$ and defends against cherry-picking with three pillars: (1) exponent parsimony — random targets would require larger exponents; (2) prime-set consistency — the same three primes serve all ratios; (3) falsifiability — deviations should shrink monotonically as measurement precision improves.
#1.2 The Claimed Fits
| Ratio | Observed (v3.2) | Claimed triple $(a,b,c)$ | Claimed value | Claimed deviation |
|---|---|---|---|---|
| $m_\mu/m_e$ | 206.77 | $(6,4,-2)$ | 207.36 | 0.29% |
| $m_\tau/m_e$ | 3477.2 | $(-14,6,7)$ | 3476.14 | 0.03% |
| $m_\tau/m_\mu$ | 16.82 | $(-3,8,-5)$ | 16.80 | 0.14% |
| $m_t/m_c$ | 136.6 | $(11,-1,-1)$ | 136.53 | 0.05% |
| $m_s/m_d$ | 20.0 | $(2,0,1)$ | 20 | exact |
| $m_b/m_s$ | 45.3 | $(-6,-3,7)$ | 45.21 | 0.20% |
| $m_W/m_e$ | 157356 | $(3,9,0)$ | 157464 | 0.07% |
| $m_Z/m_e$ | 178450 | $(-6,6,6)$ | 177978.5 | 0.26% |
| $m_h/m_e$ | 245190 | $(-5,14,-4)$ | 244888.0 | 0.12% |
#2. RQ4.0 — Arithmetic Verification of the Claimed Fits
Every claimed triple was recomputed directly as $2^a \cdot 3^b \cdot 5^c$.
#2.1 Finding A: Two claimed fits are arithmetically false
| Ratio | Printed triple | Printed value | Actual value | Actual deviation | Claimed deviation |
|---|---|---|---|---|---|
| $m_\tau/m_\mu$ | $(-3,8,-5)$ | 16.80 | 0.2624 | 98.4% | 0.14% |
| $m_h/m_e$ | $(-5,14,-4)$ | 244888.0 | 239.15 | 99.9% | 0.12% |
The value $244{,}888$ is not a 3-smooth number at all: $244{,}888 = 2^3 \cdot 7 \cdot 4373$. The v3.2 §10.4 errata states "all have been replaced with verified correct fits"; this is contradicted by direct computation.
#2.2 Finding B: Five of nine triples are not optimal
An exhaustive bounded search ($|a|,|b|,|c| \leq 14$) finds strictly better triples than the paper's for five ratios:
| Ratio | Paper's triple | Paper's dev | Optimal triple | Optimal dev |
|---|---|---|---|---|
| $m_\mu/m_e$ | $(6,4,-2)$ | 0.29% | $(-2,-10,11)$ | 0.02% |
| $m_\tau/m_\mu$ | $(-3,8,-5)$ | (98.4%) | $(-11,-11,14)$ | 0.02% |
| $m_b/m_s$ | $(-6,-3,7)$ | 0.20% | $(2,11,-6)$ | 0.11% |
| $m_Z/m_e$ | $(-6,6,6)$ | 0.26% | $(3,-7,11)$ | 0.09% |
| $m_h/m_e$ | $(-5,14,-4)$ | (99.9%) | $(6,-13,14)$ | 0.07% |
With optimal triples, the maximum deviation across all nine ratios drops to 0.11%. The paper's fitted values are therefore not even the best fits available; the table is best understood as a hand-picked (and partially erroneous) subset of a dense set.
#3. RQ4.1/RQ4.3 — Look-Elsewhere Analysis
#3.1 Null model
$10^6$ random ratios were drawn log-uniform over the observed range $[16.8,\, 245{,}190]$. For each, the best 3-smooth approximation with $|a|,|b|,|c| \leq 14$ was found by binary search over the precomputed sorted set of all $29^3 = 24{,}389$ triple logarithms.
#3.2 Single-ratio null distribution
| Statistic | Value |
|---|---|
| Median best-fit error | 0.05% |
| 90th percentile | 0.14% |
| 99th percentile | 0.18% |
| $P(\text{best-fit} \leq 0.29\%)$ | 0.9998 |
| $P(\text{best-fit} \leq 1.0\%)$ | 1.0000 |
A random ratio fits within the paper's claimed tolerance essentially every time. The density of the semigroup makes the single-ratio "fit" vacuous.
#3.3 Joint null (all nine ratios)
200,000 trials of nine random ratios each:
| Threshold | $P(\text{all 9 fit})$ | Interpretation |
|---|---|---|
| 0.29% (claimed max) | 0.998 | 99.8% of random 9-ratio sets "fit" |
| 1.0% | 1.000 | trivial |
| 2.0% | 1.000 | trivial |
| 0.11% (optimal max) | 0.116 | observed statistic, not significant |
Global look-elsewhere p-value: $p_{\text{global}} = 0.116$ (using the optimal fits; the paper's own fits give $p \approx 1.0$ after correcting its arithmetic errors). Bonferroni adjustment over the 9 ratios: $p = 1.0$.
#3.4 Sensitivity to the exponent bound
| Bound $B$ | Triples | Median null error | $P(\text{fit} \leq 0.29\%)$ |
|---|---|---|---|
| 8 | 4,913 | 0.19% | 0.70 |
| 12 | 15,625 | 0.08% | 0.98 |
| 14 | 24,389 | 0.05% | 1.000 |
| 20 | 68,921 | 0.03% | 1.000 |
Even at the restrictive bound $B = 8$, 70% of random ratios fit within 0.29%. The paper's exponent bound (14) was evidently selected after inspecting the data — a second look-elsewhere degree of freedom.
#3.5 The paper's parsimony pillars, tested
- "Random targets would require larger exponents." FALSE. At $B = 14$, the median random-target best fit is 0.05% — indistinguishable from the observed fits. The claim confuses "the semigroup is dense" with "the SM mass ratios are special."
- "The same three primes serve all ratios." True but vacuous — the null model uses the same three primes by construction. The property carries no evidential weight.
- "Deviations should shrink monotonically with precision." DISCONFIRMED. The lepton/gauge-boson ratios are now measured to $10^{-5}$–$10^{-7}$ relative precision, yet the deviations remain frozen at the 0.02–0.3% level set by the (fixed) 3-smooth fits. The deviations cannot shrink because they are properties of the discrete fit values, not of the measurements. Measured $m_\mu/m_e = 206.76828 \pm 0.00001$; best fit 206.727 — a $9,138\sigma$ discrepancy.
#4. RQ4.2 — PDG 2024 Uncertainties
Current PDG 2024 reference values with propagated (quadrature) uncertainties, compared against the optimal 3-smooth fits:
| Ratio | PDG 2024 value | Optimal fit | Deviation | Deviation in $\sigma$ |
|---|---|---|---|---|
| $m_\mu/m_e$ | 206.76828(5) | 206.727 | 0.02% | 9,138 |
| $m_\tau/m_e$ | 3477.23(24) | 3476.14 | 0.03% | 4.6 |
| $m_\tau/m_\mu$ | 16.8170(11) | 16.824 | 0.04% | 5.7 |
| $m_t/m_c$ | 135.98(2.2) | 136.53 | 0.41% | 0.3 |
| $m_s/m_d$ | 20.0(2.1) | 20.00 | 0.00% | 0.0 |
| $m_b/m_s$ | 44.75(0.5) | 45.35 | 1.33% | 1.2 |
| $m_W/m_e$ | 157278.6(25) | 157464 | 0.12% | 7.3 |
| $m_Z/m_e$ | 178449.7(41) | 178612 | 0.09% | 4.0 |
| $m_h/m_e$ | 245108(333) | 245010 | 0.04% | 0.3 |
Two regimes emerge:
- Precisely measured ratios (leptons, gauge bosons): deviations of $4-9,138\sigma$. The 3-smooth fits are statistically ruled out as exact physical relations. The "within 2%" claim is not a law-like statement; it is a statement about the scale of the deviation relative to the ratio's own magnitude, which the semigroup's density makes trivial.
- Quark-mass ratios: the light-quark masses carry 10–50% uncertainties (scheme- and scale-dependent $\overline{\mathrm{MS}}$ values), so a 2% tolerance cannot be tested meaningfully. $m_s/m_d$ and $m_t/m_c$ "fit" only because the experimental error bars swallow the deviation.
#5. RQ4.4 — Pre-Registered Neutrino Prediction
#5.1 Registration (made 2026-07-31, before computation)
[CHECK: 2026-08-31] [STRONG] The normal-ordering neutrino mass-squared splitting ratio $R = \Delta m^2_{32}/\Delta m^2_{21}$ will be approximated by a 3-smooth number $2^a 3^b 5^c$ ($|a|,|b|,|c| \leq 14$) to within 2% relative error. Inputs (NuFIT 5.3, published before check): $\Delta m^2_{21} = 7.41$–$7.55 \times 10^{-5}$ $\mathrm{eV}^{2}$, $\Delta m^2_{32} = 2.437$–$2.466 \times 10^{-3}$ $\mathrm{eV}^{2}$ (normal ordering), implying $R \in [32.3, 33.3]$.
#5.2 Result
$R = 2.453 \times 10^{-3} / 7.53 \times 10^{-5} = 32.576$. Best 3-smooth fit: $2^{-5} 3^{-1} 5^5 = 32.552$, deviation 0.07%. The prediction "passes."
#5.3 Interpretation — the pass is trivial
The null model shows $P(\text{best-fit} \leq 0.29\%) = 0.9998$ for any ratio in this range. The pre-registered prediction passes because every plausible ratio passes; it is consistent with the null model and therefore provides zero confirmatory power for the Pythagorean claim. A discriminating prediction would require a tolerance below the null's best-fit floor (e.g., "within 0.01%", which the null achieves rarely) or a specific triple predicted before measurement. Neither form is available from the framework.
#6. Where the Framework is Genuinely Supported (Mandatory Symmetry — KIF-18)
- The semigroup $\mathcal{P} = \{2^a 3^b 5^c\}$ is genuinely dense in $\mathbb{R}_+$ (three multiplicatively independent logarithms), and the paper's §7.4 acknowledgment of this risk is honest and correctly stated.
- The nine observed mass ratios are real, current PDG values; the ratios themselves are not fabricated.
- The idea that particle-physics parameters might cluster near simple prime-factor combinations has historical precedent worth respecting (e.g., the Koide formula for charged-lepton masses, which remains a published empirical coincidence with no accepted derivation).
#7. Where the Framework is Constrained or Contradicted (Mandatory Symmetry — KIF-18)
- Arithmetic errors: two of nine claimed fits do not compute ($m_{\tau }/m_{\mu }, m_{h}/m_{e}$); five of nine are non-optimal. The empirical table — the program's central evidence — is unreliable as printed.
- Density: 99.8% of random nine-ratio sets fit within the claimed tolerance. The observed pattern is statistically indistinguishable from chance ($p_{\text{global}} = 0.116$; Bonferroni $p = 1.0$).
- Exactness ruled out: the precisely measured ratios deviate by $4-9,138\sigma$ from their best fits. The fits are not laws; they are approximations whose tolerance is set by semigroup density, not physics.
- Pillar 3 falsified: deviations do not shrink with measurement precision — they are frozen at the level set by the discrete fit values.
- Independent-replication caveat (KIF-16/17): all QNFO sources are a single research collective; no external replication exists.
#8. Conclusion
Verdict: [CONSISTENT WITH LOOK-ELSEWHERE ARTIFACT]
The Pythagorean semigroup mass-ratio claim of the Adelic Cross-Domain Program v3.2 does not survive statistical audit as evidence for structure. Three independent criteria fail: (i) the claimed fits contain arithmetic errors and are non-optimal; (ii) the look-elsewhere analysis shows the observed tolerance is achieved by 99.8% of random ratio sets ($p_{\text{global}} = 0.116$); (iii) precise measurements rule the fits out as exact relations while uncertain quark masses make them untestable. The pre-registered neutrino prediction passes trivially, consistent with the null.
The claim should be reclassified from "encodes all SM mass ratios" to "the 3-smooth semigroup is dense enough that the observed ratios can be approximated within 0.3%, as any random ratios can" — a statement about the semigroup, not about the Standard Model. Per ACRP-04's outcome-neutrality commitment, this negative result is published as the deliverable.
#9. Calibration Register
[CHECK: 2027-08-01] [STRONG] If the v3.2 claim is re-tested by any group with
(1) fully corrected fits, (2) a pre-registered specific triple, and (3) a
tolerance below the null floor (~0.01%), and the pre-registered triple lands
within tolerance, this audit's "look-elsewhere artifact" verdict is FALSIFIED.
Anchor: the null best-fit distribution (median 0.05%) defines the discriminating
threshold; a prediction must beat it to carry evidence. Status: [PENDING]
[CHECK: 2027-08-01] [STRONG] CAL-ACRP04-NU1 (neutrino ratio, 2% tolerance)
resolved PASS — but with zero confirmatory power (P(null pass) = 0.9998).
Status: [RESOLVED — TRIVIAL PASS]
#10. Methodology and Reproducibility
- Null model: $10^6$ log-uniform draws over $[16.8, 245190]$, best-fit via binary search over all $29^3$ triple logarithms ($B = 14$); joint statistic: 200,000 trials of 9 draws.
- Optimal-fit search: exhaustive over $(a,b) \in [-14,14]^2$, optimal $c$ by log-rounding, $|c| \leq 14$.
- Uncertainty propagation: quadrature, independent PDG errors; quark masses are scheme/scale-dependent ($\overline{\mathrm{MS}}$), noted as a limitation.
- Neutrino values: NuFIT 5.3 global fit (public), normal ordering.
- Seed: 20260731. Full computational script archived in the companion repo.
#11. Declarations
Funding: None. Conflicts of Interest: None. Ethics: No human subjects. Consent: N/A. Author Contributions: R.B.Q.-G. (single author). Data Availability: PDG 2024 and NuFIT 5.3 are public; computation scripts in companion repository. Code Availability: Repository: github.com/QNFO/pythagorean-semigroup-audit. Use of Artificial Intelligence: Computational analysis (Monte Carlo, exhaustive search) executed by AI agent; all results independently recomputed by hand-verifiable methods described in §10.
#12. Cross-References
- Adelic Cross-Domain Program v3.2 (the QNFO archive https://papers.qnfo.org/papers) — the claim under audit
- ACRP Program Plan v1.0 (R2:
qnfo-releases/programs/acrp/ADELIC-CORE-PROGRAM-PLAN-v1.0.md) — audit charter, outcome-neutrality requirement - Particle Data Group 2024 Review — mass values
- NuFIT 5.3 (2024) — neutrino oscillation parameters
#Version History
| Version | Date | Changes |
|---|---|---|
| 1.0 | 2026-07-31 | Initial statistical audit (ACRP-04 deliverable) |
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