Statistical Analysis of Arithmetic Concordances in the Quranic Corpus

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 "Idris" 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. While the background noise revealed rare partial convergences reaching a maximum score of 9/10, no random artifact achieved a perfect match (10/10). Using the exact Clopper-Pearson method, the statistical significance of the subject's 10/10 score is calculated at 5.8σ. 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 model's equations.