Shape & Behavior Correlations (2025-04-27 to 2026-03-24) — TicTac, Other

The analysis is based on an aggregated dataset of 781 UAP sighting reports spanning an 11-month period from April 27, 2025, to March 24, 2026. The dataset's geographic scope is global, with a concentration of reports from North America, as indicated by the top locations list (e.g., California: 63, Texas: 48). The primary analytical method involved descriptive statistical analysis of provided data dimensions. The study specifically examined the shapeBreakdown, movementPatterns, altitudeBreakdown, weatherBreakdown, and hourOfDayBreakdown to identify correlations between morphology and behavior, and to assess observational context. The dataset was contextualized against a provided global baseline (N=126,928) for comparative analysis of metrics such as corroboration rate and average witnesses. All 781 records were classified under a single morphological category ('Other'), precluding any intra-dataset shape-based correlation analysis. Therefore, the investigation focused on characterizing the dataset's properties, identifying data completeness issues, and comparing its aggregate statistics to the broader phenomenological baseline. Temporal analysis utilized the monthlyTrend data, and spatial distribution was reviewed via the locationPoints list.

Quantitative analysis of the 781-sighting dataset reveals a homogeneous morphological profile: the shapeBreakdown shows 100% (n=781) of sightings classified as 'Other'. This stands in stark contrast to the globalShapeDistribution, where 'Other' constitutes approximately 28.0% of reports. Key behavioral and contextual data fields are predominantly null: movementPatterns and altitudeBreakdown are empty objects, and weatherBreakdown is 100% 'Unknown' (n=781). Duration data is largely absent, with 92.4% (n=722) Unknown; of the 59 events with duration, 30.5% (n=18) lasted 60+ minutes and 32.2% (n=19) lasted 1-5 minutes. Temporal analysis shows a clear diurnal pattern: 42.0% (n=328) of sightings occurred at Dusk (5pm-10pm) and 30.3% (n=237) at Night (10pm-5am), collectively accounting for 72.3% of reports. Daytime (9am-5pm) sightings comprised 18.9% (n=148), and Dawn (5am-9am) 8.7% (n=68). Monthly frequency peaked in November 2025 (n=108) and October 2025 (n=102). The corroboration rate is 5.5% (43 of 781 events), with an average of 1.1 witnesses per event. Geographically, reports are concentrated in the United States and Canada, with California (n=63), Texas (n=48), and Florida (n=46) being the top three sub-national regions.

The exclusive classification of all sightings as 'Other' shape is the most statistically significant finding. This represents a severe deviation from the expected distribution observed in the global baseline, where 'Orb', 'Disc', and 'Triangle' are prevalent. This anomaly suggests either a unique phenomenological cluster within the specified spatiotemporal window, a fundamental shift in reporting taxonomy, or, most likely, a systematic data collection or processing artifact that has collapsed all shape descriptors into a single catch-all category. The strong skew towards dusk and nighttime observations (72.3%) is consistent with known observational biases in UAP reporting, where objects are more easily visible against a dark sky. The near-total absence of data on movement (0%), altitude (0%), and weather (100% Unknown) is a critical limitation. It precludes any meaningful analysis of shape-behavior or shape-altitude correlations, which was the study's primary objective. The low corroboration rate (5.5% vs. 11.33% global baseline) and low average witness count (1.1 vs. 1.5) further indicate that this dataset is composed predominantly of single-witness, anecdotal reports with minimal independent verification. The geographic distribution shows expected population-density correlations, with no unusual clustering beyond major metropolitan areas. The duration data, where available, suggests a bimodal distribution between very short (1-5 min) and very long (60+ min) events, but the sample size (n=59) is too small for definitive conclusions.

The overall assessment of this dataset is that it is unsuitable for conducting a meaningful analysis of UAP shape and behavior correlations due to catastrophic data incompleteness in the core variables of interest (shape, movement, altitude). The finding of 100% 'Other' shape classification is not interpretable as a phenomenological result but rather as a major data quality issue. Confidence in any morphological or behavioral findings is therefore rated **Low**. The primary limitation is the lack of granular, structured data for the key analytical dimensions. The dataset appears to be an aggregation where specific descriptors have been lost or were never recorded. The diurnal pattern and geographic distribution provide useful meta-level context about reporting conditions and demographics, but do not advance taxonomic understanding. Recommendations for further research are: 1) Investigate the provenance and collection methodology of this dataset to understand the cause of the uniform 'Other' classification. 2) Prioritize the collection and analysis of datasets with high-fidelity, witness-verified shape descriptors and correlated kinematic data. 3) Future studies should employ stricter data quality filters to exclude reports lacking fundamental observational parameters before attempting correlation analysis.