Testing Structured Recurrence in Orb-Like Aerial Phenomena A Pre-Registered Statistical Framework for Corridor and Environmental Analysis

Reports of compact luminous aerial objects—often described as orb-like phenomena—
have appeared across multiple decades in aviation records, observational archives, and
public datasets. While many individual observations likely correspond to conventional
atmospheric or technological sources, the possibility remains that large datasets of such
reports may contain statistical structures that warrant systematic investigation.
This paper presents a preregistered observational framework designed to evaluate whether
reports of orb-like aerial phenomena exhibit patterns exceeding expectations from random
occurrence, aviation exposure, or reporting bias. Narrative reports are converted into
structured datasets incorporating spatial coordinates, motion descriptions, luminosity
characteristics, environmental variables, and witness classifications.
The study evaluates several predefined statistical hypotheses, including geographic
corridor recurrence, directional motion alignment, trajectory convergence, persistence of
localized luminous structures, lagged recurrence following changes in aviation or
electromagnetic corridor activity, spatial entropy reduction, and fractal clustering across
scales. To address potential confounding factors, the analysis incorporates controls for
population density, aviation traffic volume, radar and navigation transmitter exposure,
airport size and route geometry, and historical changes in reporting climate.
Preregistered null models and statistical tests are used to determine whether observed
patterns differ significantly from random spatial distributions or reporting-bias models.
Additional analyses examine time-lagged relationships between corridor activity and
recurrence patterns, which may reveal delayed environmental responses and possible
hysteresis effects.