The Digital Root Fingerprint of the Quran — Paper III: System-Independent Validation via Special-6 Binary Encoding
Key Points
This research aims to validate the digital root fingerprint of the Quran by using an independent binary encoding system.
Introduced Special-6 binary encoding for Arabic letters.
Analyzed 114 surahs of the Quran for digital root patterns.
Compared findings with three classical Arabic control texts.
Conducted statistical analyses using 10,000 permutations.
Involved six AI models to assess alternative explanations.
Quran exhibited a significant bias toward digital roots of {3,6,9} (44.7%, p = 0.007).
Control texts showed no significant digital root patterns (p = 0.389, p = 0.606, p = 0.707).
Traditional Abjad system also showed no significance (p = 0.817).
AI models could not provide viable alternative explanations for the results.
Abstract
The strongest criticism against the digital root fingerprint of the Quran (Papers I all six proposed alternative explanations were refuted by the control text results.