
This study analyzes a numerical sequence derived from three Qur’anic temporal references—one day, one thousand years, and fifty thousand years—to evaluate whether their internal scaling relationships exhibit statistically non-random alignment with established cosmological benchmarks. The values were normalized, logarithmically transformed, and subjected to linear regression in order to extrapolate a fourth value in the series. The resulting forecast was compared to benchmark values derived from a six-stage cosmological framework traditionally associated with the “six days” of creation. Because interpretive ambiguity exists regarding whether these stages refer to cosmic or planetary formation, the extrapolated results were evaluated against both the accepted age of the Earth and the age of the Universe. The unmodified dataset produced a forecast intermediate between these two benchmarks. A frequency-based symmetrical scaling model—motivated by the unequal textual occurrence of the referenced values—was subsequently applied. This transformation generated two complementary forecasts closely approximating the respective geophysical and cosmological benchmarks. Monte Carlo simulations, including constrained “poetic number” search spaces, were conducted to evaluate the probability of such dual alignment under randomized conditions. The observed probability of achieving the dual benchmark proximity under the defined constraints was approximately 1 × 10⁻¹⁹. These findings indicate a structured numerical coherence within the examined temporal references and provide a quantitative framework for further interdisciplinary investigation at the intersection of textual studies, cosmology, and probabilistic modeling.
Qur'anic Numerics, Monte Carlo Simulation, Logarithmic regression, Islam and science, Probability analysis, Cosmological modeling
Qur'anic Numerics, Monte Carlo Simulation, Logarithmic regression, Islam and science, Probability analysis, Cosmological modeling
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
