An Exploratory Statistical Study of Predefined Correspondences Between a Historical Text and Multi-Domain Observational Datasets

This record contains the final manuscript (PDF format) of a statistical exploratory study examining predefined correspondences between a historical text and nine multi-domain observational datasets, including lunar perception, solar and stratospheric temperature anomalies, gamma-ray burst events, apparent superluminal motion, repeating GRB activity, acoustic patterns, a hybrid eclipse-related event, and a lockdown-era atmospheric test. The analysis is based on publicly available datasets (NASA, Fermi, Swift, SDO, and MERRA-2) and evaluates each correspondence under predefined null hypotheses using surrogate timing tests, bootstrap resampling, and Monte Carlo sampling of randomized text surrogates, with corrections applied for multiple comparisons across nine hypotheses. All reported findings are conditional on the adopted statistical framework, assumptions of independence, and surrogate model construction; the study is exploratory in nature and does not claim causal or physical interpretation, and independent replication would be required for validation.