Černohajev UAP Correlation Table
This table is a dynamic investigative dashboard built on the theoretical propulsion framework of Soviet aerospace engineer Valerijs Černohajev (Engineering Infinity). It integrates real-world sighting reports (NUFORC data from Aug 2025 and Jul/Aug 2022) with predicted optimum observation corridors across the continental United States.
The purpose is to validate correlations between reported UAP activity and the environmental conditions Černohajev identified as necessary for craft operation:
Hydrological resources (lakes, rivers, aquifers)
Geomagnetic anomalies (rifts, faults, magnetic lineaments)
Atmospheric charge (storms, humidity, inversion layers)
Temporal synchronization (new moons, meteor showers, quiet geomagnetic windows)
What It Provides
Preloaded Sightings Data: Verified NUFORC reports are already embedded — no upload needed.
Automatic Analysis: Each sighting is matched to the nearest optimum anchor and corridor. The system calculates:
Nearest anchor city + corridor
Great-circle distance (miles)
Tier classification (1–4) based on proximity and timing
Environmental Score (0–100) combining hydrology, magnetism, atmosphere, and temporal factors
Phenotype (Plasma-like vs Structured object)
Predicted observation window alignment
Anchor Reference: A collapsible reference table lists every corridor anchor point and its coordinates.
Filtering Tools: Users can filter or sort by Tier, corridor, score, state, or observation window.
How To Use It
Scan the Preloaded Table
Rows are color-coded by Tier:
Tier 1 (green) = strongest correlation (<50 miles + in-window)
Tier 2 (amber) = high proximity (50–150 miles)
Tier 3 (blue) = regional alignment (150–250 miles)
Tier 4 (red) = outliers with partial environmental matches
Filter the Dataset
Use the dropdowns at the top to refine by:
Window: August 20–26, September 5–9, September 18–24, September 25–28, or outside these dates
Tier: 1–4
Score Threshold: ≥75 or ≥90
State Search: Narrow down to a specific region
Interpret the Results
High-score Tier 1 or Tier 2 events are the most valuable for field investigation.
Cluster patterns along corridors (Snake River Plain, Midcontinent Rift, Florida Lightning Alley, Reelfoot Rift, Great Lakes system, etc.) represent strong validation of the model.
Outliers (Tier 3–4) may indicate unknown or secondary operational conditions worth flagging.
Practical Application
This tool functions as a real-time triage system for UAP investigators, researchers, and observers:
Focuses attention on high-probability corridors instead of random sightings.
Streamlines prioritization of reports during active observation windows.
Helps identify environmental triggers (storms, geomagnetic conditions, aquifer proximity) that may enhance the chance of detection.
Černohajev UAP Correlation — Preloaded Combined Dataset
Date | City | State | Shape | Phenotype | Window | Nearest Anchor | Corridor | Distance (mi) | Tier | Env. Score | Summary |
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Reference: Corridor Anchors
Anchor | Lat | Lon | Corridor |
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