
Ken Lomba
Ken Lomba is a law enforcement sergeant, former union president, and independent researcher whose work explores Bigfoot reports, anomalous phenomena, witness experience, and spatial pattern analysis. His professional background in investigations, documentation review, witness evaluation, and evidence-based analysis informs the method behind The Hidden Grid.
His research brings together case reports, geographic patterning, historical material, terrain analysis, and long-form inquiry into the environmental and experiential structure behind recurring high-strangeness encounters. The result is a research-driven approach that treats the subject not simply as folklore or zoology, but as a deeper question of place, perception, and hidden pattern.
His research brings together case reports, geographic patterning, historical material, terrain analysis, and long-form inquiry into the environmental and experiential structure behind recurring high-strangeness encounters. The result is a research-driven approach that treats the subject not simply as folklore or zoology, but as a deeper question of place, perception, and hidden pattern.
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Each cell was characterized by forest cover, elevation range, road density, EMAG2 magnetic-anomaly intensity, structural fault density, and a residualized geophysical index combining magnetic anomaly and fault density after adjustment for forest cover and elevation. The primary USA frame contains 4,645 cells; non-Mexico and reporting-effort frames are used for matching, dose-response, and sensitivity checks.
In cover-qualified USA cells, the high-energy stratum contained at least one Class A report in 51.29% of cells compared with 21.13% in the low-energy stratum, a 30.15 percentage-point gap and odds ratio of 3.93. A pre-registered, hash-locked cluster subset of 178 USA cells also differed from baseline on the same geophysical axis.
Coarsened Exact Matching across forest, elevation, and road-density strata retained 55 of 59 non-Mexico strata and returned a 13.26 percentage-point gap. A cover-qualified quintile analysis showed a monotonic increase in Class A-positive rate from 6.55% in the lowest geophysical quintile to 22.62% in the highest.
The continuous within-stratum association was null after adjustment for forest, elevation, and road density, indicating that the observed pattern is better described as a categorical threshold than a linear gradient. However, when the high-versus-low contrast was restricted to cells with non-zero pooled reporting effort, the gap collapsed to 1.78 percentage points (p = 0.7862), so reporting effort cannot be excluded as the carrier, mediator, or co-driver of the association.
The appropriate interpretation is bounded: the archive contains a reproducible geophysical spatial signature in Class A reports, but the present corpus cannot separate environmental association from reporting geography.