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