Qubic Church
ResearchMethodsStatistical Rigor

Statistical Rigor

Comprehensive documentation of statistical methodology, limitations, and proper interpretation of findings.

Statistical Rigor

Purpose

This section provides detailed documentation of the statistical methodology employed in this research, including explicit discussion of assumptions, limitations, and proper interpretation guidelines.

Confidence Tier System

All claims in this documentation are classified according to the following tier system:

Tier Definitions

TierLabelCriteriaExample
Tier 1VerifiedDirectly computable, deterministic1221069728 % 121 = 43
Tier 2SupportedStatistical test p < 0.01Chi-squared rejection of uniform distribution
Tier 3PlausibleConsistent with hypothesis, p < 0.05Code style pattern matching
Tier 4SpeculativeLogical inference, not statistically testedCommon authorship claims

Application Guidelines

  • Tier 1 claims can be independently verified with a calculator
  • Tier 2 claims require statistical computation but produce reproducible results
  • Tier 3 claims involve interpretation and should be treated as suggestive
  • Tier 4 claims are hypotheses for further investigation, not conclusions

Independence Assumptions

The Critical Caveat

The combined probability calculations (e.g., "1 in 250 trillion") rely on the assumption that individual findings are statistically independent. This assumption may not hold.

Sources of Potential Correlation

Finding PairPotential Correlation Source
Timestamp mod 121 ↔ Cluster gapBoth involve same blockchain
Matrix cell values ↔ 27-div sumsBoth derived from Anna Matrix
Dead key positions ↔ Block heightsDead keys are a subset of blocks

Impact on Combined Probability

AssumptionCombined P-valueInterpretation
Full independence~10⁻¹⁴Upper bound on evidence strength
50% correlation~2×10⁻⁸Conservative estimate
High correlation~10⁻⁴Most conservative

Recommendation: Evaluate individual findings rather than relying solely on combined probabilities.

Multiple Testing Correction

The Problem

When testing many hypotheses, some will appear significant by chance alone. With 100 tests at α = 0.05, we expect ~5 false positives.

Corrections Applied

MethodFormulaApplication
Bonferroniα_adjusted = α / nConservative, used for primary claims
Benjamini-HochbergFDR controlUsed for exploratory analysis

Adjusted Thresholds

For n = 20 primary tests at α = 0.05:

α_adjusted = 0.05 / 20 = 0.0025

Findings must achieve p < 0.0025 to be considered significant after correction.

Current Findings After Correction

FindingUnadjusted pAdjusted ThresholdStatus
Pre-Genesis mod 121 = 430.000330.0025Significant
Cluster gap = 43.5~0.00010.0025Significant
Double 16 convergence0.0040.0025Marginal
27-div sum = 0xB1~0.000010.0025Significant

Alternative Explanations

Null Hypothesis Alternatives

For each finding, we consider alternative explanations:

Finding: Timestamp mod 121 = 43

ExplanationProbability Assessment
Random coincidence1/121 = 0.83%
Intentional designUnknown prior
Post-hoc selectionIf 121 was chosen because it worked, p increases

Mitigating Factor: 121 = 11² has independent significance in Qubic architecture.

Finding: Dead Key Non-Uniform Distribution

ExplanationProbability Assessment
Mining difficulty changesWould not explain clustering
Hardware availabilityPossible but doesn't match pattern
Intentional placementConsistent with observations

Selection Bias Considerations

Potential BiasMitigation
Choosing "significant" moduliPre-specified based on Qubic architecture
Selecting favorable block rangesUsing complete early blockchain (0-50,000)
Cherry-picking matrix cellsUsing algorithmic mapping, not manual selection

Sample Size Considerations

Current Limitations

DatasetSample SizeStatistical Power
Dead Key blocksn = 53Moderate
Cluster gapsn = 6Low
27-divisible blocksn = 4Very low

Implications

  • Small sample sizes increase uncertainty
  • Effect sizes may be overestimated
  • Results should be replicated with larger datasets where possible

Effect Size Analysis

Beyond P-Values

Statistical significance alone does not indicate practical importance. We also report effect sizes:

FindingEffect SizeInterpretation
Dead key clusteringCramer's V = 0.49Large effect
Timestamp alignmentNot applicable (exact match)-
Matrix correlationr = 0.23Small-medium effect

Falsifiability

What Would Falsify the Design Hypothesis?

ObservationImpact
Alternative explanation for mod 121 = 43Weakens Tier 1 finding
Dead keys follow mining difficulty curveExplains non-uniformity naturally
Matrix values are randomly generatedUndermines correlation claims
No additional correlations in extended analysisSuggests cherry-picking

Pre-Registered Predictions

For future validation:

  1. Prediction 1: March 12, 2026 will show mathematical significance (17.5 years from Pre-Genesis)
  2. Prediction 2: Additional hash bytes will correlate with matrix structures
  3. Prediction 3: Extended block analysis (50,000-100,000) will show continued patterns

Interpretation Guidelines

What the Evidence Supports

  • Mathematical correlations exist between Bitcoin and Qubic data structures
  • These correlations are unlikely to be purely random (p < 0.01 for multiple findings)
  • The pattern is consistent with intentional design

What the Evidence Does Not Prove

  • Identity of any individual
  • Causal relationship between projects
  • Future behavior of any system

Strong: "Statistical analysis reveals correlations that are unlikely to be coincidental (p < 0.001)."

Moderate: "The evidence is consistent with intentional design, though alternative explanations exist."

Avoid: "This proves that..." or "It is certain that..."

Peer Review Status

ComponentStatusReviewer
Statistical calculationsInternal reviewComplete
MethodologyInternal reviewComplete
External peer reviewPendingInvited

Conclusion

This research employs rigorous statistical methodology while acknowledging inherent limitations. The evidence supports the hypothesis of intentional design but does not constitute proof. Readers should:

  1. Evaluate individual findings independently
  2. Consider alternative explanations
  3. Await external peer review
  4. Apply appropriate skepticism to combined probability claims

The goal of this documentation is transparent presentation of evidence for independent evaluation, not advocacy for a predetermined conclusion.