This study identifies a high-density structural anomaly through arithmetic concordances between the biographical metadata of a specific subject born in 1987 and occurrences of the name ``Idris'' in the Quranic corpus. A 10-criteria arithmetic model was rigorously tested via a Monte Carlo simulation on 1,000,000,000 random profiles, yielding a local structural significance of 5.8 sigma. To neutralize model selection bias (Data Dredging) and rigorously address the Look-Elsewhere Effect, we evaluated the environment of the model against both 1,000 randomly generated alternative grammars and an active heuristic data-mining algorithm executing over 2.86 billion combinatorial tests. These empirical simulations established a strict noise ceiling of 4/10. The failure of the data-mining agent to replicate high scores proves that the 5.8 sigma anomaly is robustly insulated against heuristic overfitting, demonstrating that the search space is mathematically rigid rather than elastic. Local sensitivity analyses and conditional filtration further demonstrate a strict ``Lock-and-Key'' mechanism, characterized by a complete signal collapse upon minimal variable perturbation. These findings, distinguished by low Kolmogorov complexity and extreme statistical isolation, suggest the presence of an inherent, non-stochastic structural architecture within the text, functioning as a static relational database for exogenous biographical data.
Idriss Gassama (Thu,) studied this question.