README.md

metadata

title: Nuclear UAP Evidence Surface
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
license: other
tags:
  - uap
  - public-data
  - geospatial
  - civic-data
  - evidence-surface

Public Surface Summary

Public-data review surface for nuclear/UAP-adjacent context, designed for inspection and triage rather than object identification.

Use this for: public-data inspection and triage around nuclear/UAP-adjacent context.

Do not use this as: object identification, extraordinary-claim validation, or claims without public-source caveats.

Caveat discipline: context aid; not identification claim; public-source caveats.

Nuclear UAP Evidence Surface

This Space is a simple public viewer for a reduced, hashed analytical dataset about one specific question:

Do public UFO/UAP report rows cluster around nuclear power plants after ordinary controls?

Headline Finding

The current evidence surface does not support a nuclear-specific proximity signal. In the primary 50-mile comparison, nuclear power-plant sites had a lower mean public-report count than matched non-nuclear power-plant controls.

• Public geocoded report rows: 105250
• Nuclear sites: 57
• Matched non-nuclear controls: 285
• 50-mile nuclear/control mean ratio: 0.851823
• One-sided p-value for nuclear greater than controls: 0.85015

What This Is

• A public-source, reproducible evidence surface.
• A reduced export with date/place/shape/geocode/proximity features, hashes, and receipts.
• A way to inspect population, airport, and nuclear-site proximity factors without relying on anecdote.
• A descriptive public-infrastructure layer for official NTAD military installations and public NNSA/nuclear-security-enterprise anchors.

What This Is Not

• Not proof that any witness saw or did not see anything unusual.
• Not a bot, propaganda, or intent detector.
• Not a claim that aircraft explain every report.
• Not a claim about classified military or weapons-site activity.
• Not exact sighting GPS; report rows are geocoded to public Census place centroids.
• Not exact facility-boundary, weapons-storage, operational-status, or causation evidence.

Additional Findings

• Events matched to Census population rows: 105086 of 105250.
• Place-level log(population) vs log(report count) correlation: 0.641288.
• Median event-place distance to a major scheduled airport: 13.277 miles.
• Population-weighted median Census-place distance to a major scheduled airport: 10.764 miles.
• Missing geocode rows: 17783 of 123013 U.S. rows.

Visual Presentation Choices

The app is intentionally structured as a guided evidence story before it becomes a data explorer:

• It leads with one public question and one main finding.
• It uses the matched non-nuclear control comparison as the main anchor.
• It shows population and airport proximity as visible confounders instead of burying them in tables.
• It keeps uncertainty visible through a missing-geocode section.
• It keeps tables and downloads available as accessible fallbacks.

These choices follow public data-visualization guidance from the Office for National Statistics, Datawrapper, the Urban Institute, and the CFPB:

• ONS data visualisation principles: https://service-manual.ons.gov.uk/data-visualisation/guidance/principles
• ONS chart text guidance: https://service-manual.ons.gov.uk/data-visualisation/guidance/chart-text
• Datawrapper accessibility guidance: https://www.datawrapper.de/accessibility.html
• Urban Institute Data Visualization Style Guide: https://urbaninstitute.github.io/graphics-styleguide/
• CFPB data visualization guidelines: https://cfpb.github.io/design-system/guidelines/data-visualization-guidelines

Sources

• DataHerb NUFORC public mirror: https://github.com/DataHerb/nuforc-ufo-records
• U.S. Census Gazetteer places and 2020 Decennial place population API: https://www.census.gov/
• WRI Global Power Plant Database: https://github.com/wri/global-power-plant-database
• NRC public reactor/event datasets: https://www.nrc.gov/
• OurAirports public airport CSV: https://ourairports.com/data/
• NTAD public military bases layer: https://hub.arcgis.com/datasets/usdot::military-bases/about
• DOE/NNSA public locations: https://www.energy.gov/nnsa/locations
• EPA TRI Explorer public facility profile for NNSS coordinate anchor: https://enviro.epa.gov/triexplorer/

Repo

Space repo: https://huggingface.co/spaces/cjc0013/nuclear-uap-evidence-surface