The 168 Nineteen-Letter Verses
Independent reproduction and methodological audit of the previously reported claim that 168 Quranic verses contain exactly 19 letters under an exact-character RAW count.
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Computational and mathematical studies of the Quranic text.
Coran Codex records both positive and negative results. A reproduced numerical pattern is not automatically a discovery, and a rejected hypothesis remains part of the research record.
A result does not disappear because it fails. Failure is part of the record.
15 Research Records · DATA-001 · METHOD-001 · Reproducible analyses
Independent reproduction and methodological audit of the previously reported claim that 168 Quranic verses contain exactly 19 letters under an exact-character RAW count.
Retrospective reconstruction of six mirror-surah pairs whose DATA-001 word-count differences are divisible by 59, followed by an external word-count sensitivity check.
Retrospective reconstruction of a modulo-49 relation combining surah number, verse count, and word count, with strong RAW/BODY sensitivity and no recoverable historical multiple-testing procedure.
Deterministic reproduction of the two central verse positions in the 6,236-verse DATA-001 corpus, together with the separate observation that both central verses contain nine words.
Independent reproduction and corpus-wide audit of the previously reported Qaf counts in Surahs 42 and 50, including the 57/57 equality, the combined total of 114, and the shared surah-number-plus-verse-count total of 95.
Exploratory global permutation test asking whether the 29 historical muqattaat surah-to-prefix assignments produce greater initial-letter enrichment than random reassignments of the same 29 prefixes among the same 29 surahs.
Exploratory analysis of shared-initial muqattaat surah pairs combining equal initial-letter counts with matching surah-number and verse-count distances, including permutation testing, targeted multiverse correction, robustness checks, and Qaf-exclusion sensitivity.
Reconstruction of a 2025 observation that the ten most frequent exact Quranic word forms sum to 1327 under the recovered TRAD_T1 Abjad table, with DATA-001 RAW/BODY reproduction, orthographic sensitivity, and a one-million-permutation statistical challenge.
Deterministic reproduction and correction of the previously reported golden-ratio position obtained by dividing the 6,236-verse Quranic corpus by phi and rounding to absolute verse position 3,854, corresponding to Quran 37:66.
Reproducible quantification of the decline in Quranic verse length across canonical order, with letter- and word-based sensitivity analyses, surah-level controls, leave-one-surah-out robustness checks, and a 100,000-permutation intact-surah block null model.
Reproducible analysis of the unique DATA-001 diagonal equality at Quran 20:20, where surah number, verse number, and Arabic-letter count are all 20, together with RAW/BODY robustness, correction of the recovered 2025 record, and an exact within-surah positional null model.
Exhaustive DATA-001 analysis of Quran 37:102 as the unique highest within-surah standardized verse-length observation among all 6,236 verses, independently by Arabic-letter count and whitespace-delimited word count, with RAW/BODY and leave-one-out sensitivity controls.
Pre-specified test of early positional enrichment for the historical muqattaat letters across 29 carrier surahs. The BODY assignment-null criterion was not satisfied (p = 0.05360447); the verse-order control was also non-significant (p = 0.24426751), and the predefined Qaf/Sad/Nun exclusion reversed the descriptive direction.
Exploratory inventory of F1, F2-A and F2-B equalities in DATA-001, with detailed cases at Quran 25:52 and 74:20, an exhaustive atlas of the specified formula families, and post-discovery calibrations for F2-A and F2-B.
Exhaustive lexical atlas of exact Quranic word forms grouped by corpus frequency, traditional Abjad total and their joint key, with RAW/BODY sensitivity analysis, exploratory null calibration and independent reconstruction.