---
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
---

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## 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.
<!-- cjc0013-public-surface-note:end -->

# 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