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Statistical Analysis of Arithmetic Concordances in the Quranic Corpus

Abstract

Abstract: This study presents a quantitative analysis of arithmetic concordances identified between the biographical metadata of a subject born in 1987 and the occurrences of the name "Idriss" in the Quran (Hafs recitation). A High-Performance Monte Carlo simulation performed on 1,000,000,000 (one billion) random profiles tested a 10-criteria model. No random artifact exceeded a score of 6/10 (p < 4.5 × 10⁻⁸), while the subject achieved a perfect 10/10. Using the exact Clopper-Pearson method, the statistical significance exceeds 5.7σ. To confirm the specificity of this anomaly, two reciprocal tests were conducted: an Inverse Monte Carlo (Temporal Test) and an Exhaustive Surrogate Analysis (Lexical Test). These analyses demonstrate a perfect bijectivity: only the subject's exact date points to the target word, and the target word is the only one in the entire vocabulary (21,311 words) to satisfy the date's equations.

Keywords

statistical anomalies, Quranic structure, Textual computation, Prime numbers, Hafs recitation, Gematria, Correlation networks, Humanities/statistics &amp; numerical data, Humanities/statistics & numerical data, Monte Carlo Method, Numerical analysis, Digital humanities

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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