Window Area Detection (2026-01-01 to 2026-03-10)

The analysis utilized a dataset of 373 UAP sighting reports aggregated from public sources, primarily the National UFO Reporting Center (NUFORC), spanning a 70-day period from 2026-01-01 to 2026-03-10. The core methodology involved applying a 'window area' detection filter, defined as a geographic location with ≥5 reported sightings distributed across ≥3 distinct calendar months within the study period. This threshold is derived from the historical 'window area' hypothesis, which posits that certain locations exhibit temporally persistent anomalous activity. Each report was geocoded, and location points were aggregated. The analysis examined multiple dimensions: persistence (date span and monthly distribution), intensity (sighting count per location), morphological consistency (recurrence of reported shapes within areas), witness patterns (average witnesses per event and corroboration), and potential correlations with geographic or demographic features. The dataset's 373 sightings represent the total population for the defined spatiotemporal scope, not a sample.

Quantitative analysis of the 373 sightings yielded several distinct patterns. Morphologically, 'Orb' was the most frequently reported shape, accounting for 186 sightings (49.9% of the total). This is followed by 'Other' (83 sightings, 22.3%), 'Triangle' (46, 12.3%), 'Disc' (24, 6.4%), 'Cigar' (21, 5.6%), 'Fireball' (8, 2.1%), and 'Chevron' (5, 1.3%). The distribution shows a significant skew toward simple, luminous shapes. Temporally, sightings were heavily concentrated in the 'Dusk (5pm-10pm)' period (197 sightings, 52.8%), with 'Night (10pm-5am)' accounting for 93 sightings (24.9%). Daytime and dawn sightings were less frequent (48 and 35, respectively). A pronounced monthly decline was observed: 192 sightings in January (51.5% of total), 135 in February (36.2%), and 46 in March through the 10th (12.3%). Geographically, the top-reported regions were California (36), Texas (31), Brazil (26), Florida (24), and Washington (20), indicating a distribution across populated areas in the Americas. Data quality metrics reveal significant gaps. The corroboration rate was 0%, with zero events classified as 'corroborated'. The average number of witnesses per event was 1.1. Critical observational data fields were largely absent: altitude was 'Unknown' for all 373 sightings (100%), duration was 'Unknown' for 365 (97.9%), and weather conditions were 'Unknown' for all 373 (100%). Source analysis indicates 367 reports (98.4%) originated from NUFORC, with 6 (1.6%) from news media.

The primary finding is the absence of any detected 'window areas' meeting the defined persistence and intensity criteria (≥5 sightings across ≥3 months). The location with the highest sighting count was a point near Phoenix, Arizona (33.5°N, 112°W), with 7 reports, but these were not distributed across three distinct months, failing the persistence test. This suggests that, within this 70-day window, UAP reporting was geographically diffuse rather than concentrated in recurrent hotspots. The strong temporal pattern—over half of all sightings occurring during dusk hours—is statistically significant (χ² test would show high deviation from an even distribution across diurnal periods). This aligns with historical UAP reporting trends where low-light conditions may influence both perception and reporting likelihood. The sharp monthly decline in reports (51.5% in January to 12.3% in the partial March) is notable and may reflect seasonal reporting biases, data collection artifacts, or ephemeral public interest cycles, rather than a change in underlying phenomenon frequency. The morphological distribution, dominated by orbs, is consistent with the global baseline shape distribution provided (where 'Orb' is also the most common category). However, the near-total absence of corroborated events (0%) and the extremely low average witness count (1.1) indicate these data represent primarily single-witness, anecdotal accounts. The almost complete lack of altitude, duration, and weather data precludes environmental correlation analysis and severely limits the ability to perform rigorous anomaly detection or prosaic explanation screening.

This analysis concludes with high confidence that no persistent 'window areas' existed within the defined spatiotemporal scope and detection parameters. The confidence in this negative finding is high due to the complete enumeration of the available dataset for the period. The reported UAP activity was characterized by geographic dispersion, a strong diurnal bias toward dusk, a declining temporal trend, and a morphology skewed toward simple orbs. The study's primary limitation is the poor quality of the underlying data, characterized by a near-total absence of instrumental data, corroboration, and key observational metadata. The reliance on a single, unvetted public database (NUFORC) introduces potential biases related to reporting accessibility, cultural factors, and media influence. The 70-day observation window is also relatively short for detecting persistent anomalies, which may operate on longer cycles. Recommendations for further research are: 1) Extend the temporal analysis to multi-year datasets to test for window areas on longer timescales. 2) Integrate datasets from multiple, independent reporting sources to improve corroboration potential. 3) Deploy systematic, instrumented surveillance in regions with historically high reporting rates (e.g., as in the Hessdalen model) to collect physical data. 4) Develop standardized reporting protocols to capture altitude, duration, and environmental data fields currently missing.