| ---
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| title: Nuclear UAP Evidence Surface
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| sdk: gradio
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| sdk_version: 5.49.1
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| app_file: app.py
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| license: other
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| tags:
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| - uap
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| - public-data
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| - geospatial
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| - civic-data
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| - evidence-surface
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| ---
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|
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| <!-- cjc0013-public-surface-note:start -->
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| ## Public Surface Summary
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| Public-data review surface for nuclear/UAP-adjacent context, designed for inspection and triage rather than object identification.
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| Use this for: public-data inspection and triage around nuclear/UAP-adjacent context.
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| Do not use this as: object identification, extraordinary-claim validation, or claims without public-source caveats.
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| Caveat discipline: context aid; not identification claim; public-source caveats.
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| <!-- cjc0013-public-surface-note:end -->
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| # Nuclear UAP Evidence Surface
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| This Space is a simple public viewer for a reduced, hashed analytical dataset about one specific question:
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| **Do public UFO/UAP report rows cluster around nuclear power plants after ordinary controls?**
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| ## Headline Finding
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| 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.
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| - Public geocoded report rows: `105250`
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| - Nuclear sites: `57`
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| - Matched non-nuclear controls: `285`
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| - 50-mile nuclear/control mean ratio: `0.851823`
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| - One-sided p-value for nuclear greater than controls: `0.85015`
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| ## What This Is
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| - A public-source, reproducible evidence surface.
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| - A reduced export with date/place/shape/geocode/proximity features, hashes, and receipts.
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| - A way to inspect population, airport, and nuclear-site proximity factors without relying on anecdote.
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| - A descriptive public-infrastructure layer for official NTAD military installations and public NNSA/nuclear-security-enterprise anchors.
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| ## What This Is Not
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| - Not proof that any witness saw or did not see anything unusual.
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| - Not a bot, propaganda, or intent detector.
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| - Not a claim that aircraft explain every report.
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| - Not a claim about classified military or weapons-site activity.
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| - Not exact sighting GPS; report rows are geocoded to public Census place centroids.
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| - Not exact facility-boundary, weapons-storage, operational-status, or causation evidence.
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| ## Additional Findings
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| - Events matched to Census population rows: `105086` of `105250`.
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| - Place-level log(population) vs log(report count) correlation: `0.641288`.
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| - Median event-place distance to a major scheduled airport: `13.277` miles.
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| - Population-weighted median Census-place distance to a major scheduled airport: `10.764` miles.
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| - Missing geocode rows: `17783` of `123013` U.S. rows.
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| ## Visual Presentation Choices
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| The app is intentionally structured as a guided evidence story before it becomes a data explorer:
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| - It leads with one public question and one main finding.
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| - It uses the matched non-nuclear control comparison as the main anchor.
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| - It shows population and airport proximity as visible confounders instead of burying them in tables.
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| - It keeps uncertainty visible through a missing-geocode section.
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| - It keeps tables and downloads available as accessible fallbacks.
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| These choices follow public data-visualization guidance from the Office for National Statistics, Datawrapper, the Urban Institute, and the CFPB:
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| - ONS data visualisation principles: https://service-manual.ons.gov.uk/data-visualisation/guidance/principles
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| - ONS chart text guidance: https://service-manual.ons.gov.uk/data-visualisation/guidance/chart-text
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| - Datawrapper accessibility guidance: https://www.datawrapper.de/accessibility.html
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| - Urban Institute Data Visualization Style Guide: https://urbaninstitute.github.io/graphics-styleguide/
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| - CFPB data visualization guidelines: https://cfpb.github.io/design-system/guidelines/data-visualization-guidelines
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| ## Sources
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| - DataHerb NUFORC public mirror: https://github.com/DataHerb/nuforc-ufo-records
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| - U.S. Census Gazetteer places and 2020 Decennial place population API: https://www.census.gov/
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| - WRI Global Power Plant Database: https://github.com/wri/global-power-plant-database
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| - NRC public reactor/event datasets: https://www.nrc.gov/
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| - OurAirports public airport CSV: https://ourairports.com/data/
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| - NTAD public military bases layer: https://hub.arcgis.com/datasets/usdot::military-bases/about
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| - DOE/NNSA public locations: https://www.energy.gov/nnsa/locations
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| - EPA TRI Explorer public facility profile for NNSS coordinate anchor: https://enviro.epa.gov/triexplorer/
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| ## Repo
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| Space repo: https://huggingface.co/spaces/cjc0013/nuclear-uap-evidence-surface
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