cjc0013 commited on
Commit
396ecfd
·
verified ·
1 Parent(s): 8857402

Add public infrastructure layer and dropdown contrast fix

Browse files

Updates the Nuclear UAP Evidence Surface with the 2026-04-30 release-candidate correlation run, including official NTAD military installations, public NNSA/nuclear-security-enterprise anchors, compressed infrastructure proximity exports, and dropdown/listbox contrast hardening.

README.md CHANGED
@@ -26,13 +26,14 @@ The current evidence surface does **not** support a nuclear-specific proximity s
26
  - Nuclear sites: `57`
27
  - Matched non-nuclear controls: `285`
28
  - 50-mile nuclear/control mean ratio: `0.851823`
29
- - One-sided p-value for nuclear greater than controls: `0.854146`
30
 
31
  ## What This Is
32
 
33
  - A public-source, reproducible evidence surface.
34
  - A reduced export with date/place/shape/geocode/proximity features, hashes, and receipts.
35
  - A way to inspect population, airport, and nuclear-site proximity factors without relying on anecdote.
 
36
 
37
  ## What This Is Not
38
 
@@ -41,6 +42,7 @@ The current evidence surface does **not** support a nuclear-specific proximity s
41
  - Not a claim that aircraft explain every report.
42
  - Not a claim about classified military or weapons-site activity.
43
  - Not exact sighting GPS; report rows are geocoded to public Census place centroids.
 
44
 
45
  ## Additional Findings
46
 
@@ -75,6 +77,9 @@ These choices follow public data-visualization guidance from the Office for Nati
75
  - WRI Global Power Plant Database: https://github.com/wri/global-power-plant-database
76
  - NRC public reactor/event datasets: https://www.nrc.gov/
77
  - OurAirports public airport CSV: https://ourairports.com/data/
 
 
 
78
 
79
  ## Repo
80
 
 
26
  - Nuclear sites: `57`
27
  - Matched non-nuclear controls: `285`
28
  - 50-mile nuclear/control mean ratio: `0.851823`
29
+ - One-sided p-value for nuclear greater than controls: `0.85015`
30
 
31
  ## What This Is
32
 
33
  - A public-source, reproducible evidence surface.
34
  - A reduced export with date/place/shape/geocode/proximity features, hashes, and receipts.
35
  - A way to inspect population, airport, and nuclear-site proximity factors without relying on anecdote.
36
+ - A descriptive public-infrastructure layer for official NTAD military installations and public NNSA/nuclear-security-enterprise anchors.
37
 
38
  ## What This Is Not
39
 
 
42
  - Not a claim that aircraft explain every report.
43
  - Not a claim about classified military or weapons-site activity.
44
  - Not exact sighting GPS; report rows are geocoded to public Census place centroids.
45
+ - Not exact facility-boundary, weapons-storage, operational-status, or causation evidence.
46
 
47
  ## Additional Findings
48
 
 
77
  - WRI Global Power Plant Database: https://github.com/wri/global-power-plant-database
78
  - NRC public reactor/event datasets: https://www.nrc.gov/
79
  - OurAirports public airport CSV: https://ourairports.com/data/
80
+ - NTAD public military bases layer: https://hub.arcgis.com/datasets/usdot::military-bases/about
81
+ - DOE/NNSA public locations: https://www.energy.gov/nnsa/locations
82
+ - EPA TRI Explorer public facility profile for NNSS coordinate anchor: https://enviro.epa.gov/triexplorer/
83
 
84
  ## Repo
85
 
__pycache__/app.cpython-311.pyc ADDED
Binary file (39.7 kB). View file
 
app.py CHANGED
@@ -30,6 +30,14 @@ def missing_geocodes():
30
  return pd.read_csv(DATA / "missing_geocode_examples.csv")
31
 
32
 
 
 
 
 
 
 
 
 
33
  @lru_cache(maxsize=1)
34
  def events():
35
  return pd.read_csv(DATA / "event_explanatory_features.csv.gz")
@@ -278,6 +286,52 @@ Primary 50-mile test:
278
  """
279
 
280
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
281
  def filter_places(state, min_events, sort_by):
282
  df = places().copy()
283
  if state and state != "All":
@@ -330,6 +384,25 @@ def filter_missing(bucket):
330
  return df.head(200)
331
 
332
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
333
  def download_files():
334
  files = [
335
  DATA / "event_explanatory_features.csv.gz",
@@ -338,6 +411,9 @@ def download_files():
338
  DATA / "nuclear_sites.csv",
339
  DATA / "matched_controls.csv",
340
  DATA / "site_proximity_summary.csv",
 
 
 
341
  DATA / "statistical_tests.json",
342
  DATA / "summary_metrics.json",
343
  DATA / "source_receipts_combined.csv",
@@ -392,6 +468,34 @@ html body [role="link"] {
392
  .gradio-container select {
393
  color: #18232f !important;
394
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
395
  .gradio-container .prose,
396
  .gradio-container .markdown,
397
  .gradio-container [data-testid="markdown"],
@@ -465,6 +569,17 @@ html body [role="link"] {
465
  .claim-grid div { background: white; border: 1px solid #d7dde8; border-radius: 6px; padding: 12px; }
466
  .claim-grid strong { display: block; color: #18232f; margin-bottom: 5px; }
467
  .claim-grid span { color: #40515f; }
 
 
 
 
 
 
 
 
 
 
 
468
  @media (prefers-color-scheme: dark) {
469
  .gradio-container {
470
  background: #f3f6fa !important;
@@ -481,6 +596,7 @@ html body [role="link"] {
481
 
482
  with gr.Blocks(css=css, title="Nuclear UAP Evidence Surface", theme=gr.themes.Soft()) as demo:
483
  gr.HTML(visual_story_html())
 
484
  gr.HTML(score_cards())
485
  with gr.Tabs():
486
  with gr.Tab("Claim Boundaries"):
@@ -506,6 +622,18 @@ with gr.Blocks(css=css, title="Nuclear UAP Evidence Surface", theme=gr.themes.So
506
  bucket = gr.Dropdown(choices=bucket_choices(), value="All", label="Gap bucket")
507
  missing_table = gr.Dataframe(value=filter_missing("All"), interactive=False, wrap=True)
508
  bucket.change(filter_missing, bucket, missing_table)
 
 
 
 
 
 
 
 
 
 
 
 
509
  with gr.Tab("Downloads & Receipts"):
510
  gr.Markdown("Download the reduced analytical tables, source receipts, hashes, and manifest. These exports do not include raw witness summaries.")
511
  gr.File(value=download_files(), file_count="multiple", label="Dataset files")
 
30
  return pd.read_csv(DATA / "missing_geocode_examples.csv")
31
 
32
 
33
+ @lru_cache(maxsize=1)
34
+ def public_infrastructure_sites():
35
+ path = DATA / "public_infrastructure_sites.csv"
36
+ if not path.exists():
37
+ return pd.DataFrame()
38
+ return pd.read_csv(path)
39
+
40
+
41
  @lru_cache(maxsize=1)
42
  def events():
43
  return pd.read_csv(DATA / "event_explanatory_features.csv.gz")
 
286
  """
287
 
288
 
289
+ def public_infrastructure_html():
290
+ layer_stats = metrics().get("public_infrastructure_layers") or {}
291
+ reports = layer_stats.get("layer_reports") or {}
292
+ if not reports:
293
+ return ""
294
+ cards = []
295
+ labels = {
296
+ "public_military_installation": "Public military installations",
297
+ "public_nuclear_security_enterprise": "Public NNSA / nuclear-security-enterprise sites",
298
+ "public_strategic_delivery_installation": "Public strategic-delivery subset",
299
+ }
300
+ for key in [
301
+ "public_military_installation",
302
+ "public_nuclear_security_enterprise",
303
+ "public_strategic_delivery_installation",
304
+ ]:
305
+ report = reports.get(key) or {}
306
+ if not report:
307
+ continue
308
+ near_50 = (report.get("near_any_counts") or {}).get("50", 0)
309
+ share_50 = report.get("event_share_within_50_miles", 0)
310
+ cards.append(
311
+ f"""
312
+ <div class="infra-card">
313
+ <div class="infra-label">{html.escape(labels.get(key, key))}</div>
314
+ <div class="infra-sites">{fmt_int(report.get("site_count", 0))} sites</div>
315
+ <div class="infra-detail">{fmt_int(near_50)} public report rows within 50 miles ({pct(share_50)})</div>
316
+ </div>
317
+ """
318
+ )
319
+ can_claim = "".join(f"<li>{html.escape(str(item))}</li>" for item in layer_stats.get("what_we_can_claim", []))
320
+ cannot_claim = "".join(f"<li>{html.escape(str(item))}</li>" for item in layer_stats.get("what_we_cannot_claim", []))
321
+ return f"""
322
+ <section class="infra-panel">
323
+ <div class="eyebrow">Added public infrastructure layer</div>
324
+ <h2>Military and nuclear-security infrastructure are descriptive context, not a causation test</h2>
325
+ <p>This layer adds official NTAD military installations and public NNSA/nuclear-security-enterprise anchors, including an NNSS public coordinate receipt. It helps people inspect proximity without implying classified activity, weapons storage, or attraction.</p>
326
+ <div class="infra-grid">{''.join(cards)}</div>
327
+ <div class="infra-claim-grid">
328
+ <div><strong>What this layer can say</strong><ul>{can_claim}</ul></div>
329
+ <div><strong>What this layer cannot say</strong><ul>{cannot_claim}</ul></div>
330
+ </div>
331
+ </section>
332
+ """
333
+
334
+
335
  def filter_places(state, min_events, sort_by):
336
  df = places().copy()
337
  if state and state != "All":
 
384
  return df.head(200)
385
 
386
 
387
+ def filter_public_infrastructure(layer):
388
+ df = public_infrastructure_sites().copy()
389
+ if df.empty:
390
+ return df
391
+ if layer and layer != "All":
392
+ df = df[df["site_layer"] == layer]
393
+ cols = [
394
+ "site_name",
395
+ "site_layer",
396
+ "site_kind",
397
+ "state",
398
+ "coordinate_basis",
399
+ "source_name",
400
+ "source_confidence",
401
+ "public_role",
402
+ ]
403
+ return df[[col for col in cols if col in df.columns]].head(300)
404
+
405
+
406
  def download_files():
407
  files = [
408
  DATA / "event_explanatory_features.csv.gz",
 
411
  DATA / "nuclear_sites.csv",
412
  DATA / "matched_controls.csv",
413
  DATA / "site_proximity_summary.csv",
414
+ DATA / "public_infrastructure_sites.csv",
415
+ DATA / "public_infrastructure_site_summary.csv",
416
+ DATA / "event_public_infrastructure_proximity.csv.gz",
417
  DATA / "statistical_tests.json",
418
  DATA / "summary_metrics.json",
419
  DATA / "source_receipts_combined.csv",
 
468
  .gradio-container select {
469
  color: #18232f !important;
470
  }
471
+ .gradio-container input,
472
+ .gradio-container textarea,
473
+ .gradio-container select,
474
+ .gradio-container [data-testid="dropdown"],
475
+ .gradio-container [data-testid="dropdown"] *,
476
+ .gradio-container .dropdown,
477
+ .gradio-container .dropdown *,
478
+ .gradio-container .select-wrap,
479
+ .gradio-container .select-wrap *,
480
+ .gradio-container .wrap-inner,
481
+ .gradio-container .wrap-inner *,
482
+ .gradio-container .secondary-wrap,
483
+ .gradio-container .secondary-wrap *,
484
+ .gradio-container [role="listbox"],
485
+ .gradio-container [role="listbox"] *,
486
+ .gradio-container [role="option"],
487
+ .gradio-container [role="option"] {
488
+ color: #18232f !important;
489
+ background-color: #ffffff !important;
490
+ opacity: 1 !important;
491
+ }
492
+ .gradio-container [role="option"]:hover,
493
+ .gradio-container [role="option"][aria-selected="true"],
494
+ .gradio-container .option:hover,
495
+ .gradio-container .item:hover {
496
+ color: #0f2533 !important;
497
+ background-color: #e7f1f7 !important;
498
+ }
499
  .gradio-container .prose,
500
  .gradio-container .markdown,
501
  .gradio-container [data-testid="markdown"],
 
569
  .claim-grid div { background: white; border: 1px solid #d7dde8; border-radius: 6px; padding: 12px; }
570
  .claim-grid strong { display: block; color: #18232f; margin-bottom: 5px; }
571
  .claim-grid span { color: #40515f; }
572
+ .infra-panel { border: 1px solid #d7dde8; border-radius: 6px; padding: 18px; background: #fff; margin: 16px 0; }
573
+ .infra-panel h2 { font-size: 20px; margin: 6px 0 8px; color: #18232f; }
574
+ .infra-panel p { color: #40515f; margin-top: 0; }
575
+ .infra-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(230px, 1fr)); gap: 10px; margin: 14px 0; }
576
+ .infra-card { border: 1px solid #d7dde8; border-radius: 6px; padding: 12px; background: #f7fbfd; }
577
+ .infra-label { color: #425466; font-weight: 750; font-size: 13px; }
578
+ .infra-sites { color: #12719e; font-size: 28px; font-weight: 850; margin-top: 4px; }
579
+ .infra-detail { color: #25313c; font-size: 13px; }
580
+ .infra-claim-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(260px, 1fr)); gap: 10px; }
581
+ .infra-claim-grid div { background: #fbfcff; border: 1px solid #d7dde8; border-radius: 6px; padding: 12px; }
582
+ .infra-claim-grid ul { margin: 8px 0 0; padding-left: 18px; color: #40515f; }
583
  @media (prefers-color-scheme: dark) {
584
  .gradio-container {
585
  background: #f3f6fa !important;
 
596
 
597
  with gr.Blocks(css=css, title="Nuclear UAP Evidence Surface", theme=gr.themes.Soft()) as demo:
598
  gr.HTML(visual_story_html())
599
+ gr.HTML(public_infrastructure_html())
600
  gr.HTML(score_cards())
601
  with gr.Tabs():
602
  with gr.Tab("Claim Boundaries"):
 
622
  bucket = gr.Dropdown(choices=bucket_choices(), value="All", label="Gap bucket")
623
  missing_table = gr.Dataframe(value=filter_missing("All"), interactive=False, wrap=True)
624
  bucket.change(filter_missing, bucket, missing_table)
625
+ with gr.Tab("Military / NNSA Layer"):
626
+ infra_layer = gr.Dropdown(
627
+ choices=[
628
+ "All",
629
+ "public_military_installation",
630
+ "public_nuclear_security_enterprise",
631
+ ],
632
+ value="All",
633
+ label="Public infrastructure layer",
634
+ )
635
+ infra_table = gr.Dataframe(value=filter_public_infrastructure("All"), interactive=False, wrap=True)
636
+ infra_layer.change(filter_public_infrastructure, infra_layer, infra_table)
637
  with gr.Tab("Downloads & Receipts"):
638
  gr.Markdown("Download the reduced analytical tables, source receipts, hashes, and manifest. These exports do not include raw witness summaries.")
639
  gr.File(value=download_files(), file_count="multiple", label="Dataset files")
data/artifact_manifest.json CHANGED
@@ -2,154 +2,172 @@
2
  "manifest_version": "nuclear_uap_hf_space_package_v0",
3
  "repo_id": "cjc0013/nuclear-uap-evidence-surface",
4
  "space_url": "https://huggingface.co/spaces/cjc0013/nuclear-uap-evidence-surface",
5
- "generated_utc": "2026-04-29T02:25:12+00:00",
6
- "source_correlation_run_dir": "C:\\scraper\\runs\\nuclear_uap_correlation_index\\nuclear_uap_correlation_index_private_preview_final_20260429T010304Z",
7
  "source_explanatory_run_dir": "C:\\scraper\\runs\\nuclear_uap_explanatory_index\\nuclear_uap_explanatory_index_private_preview_20260429T011500Z",
8
- "artifact_count": 24,
9
  "artifacts": [
10
  {
11
  "artifact_key": "README.md",
12
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13
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14
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15
  },
16
  {
17
  "artifact_key": "app.py",
18
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19
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20
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21
  },
22
  {
23
  "artifact_key": "requirements.txt",
24
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25
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26
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27
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28
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29
  "artifact_key": ".gitattributes",
30
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31
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32
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33
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34
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35
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36
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37
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38
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39
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40
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41
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42
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43
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46
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47
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48
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49
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50
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53
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54
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55
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57
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58
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59
  "artifact_key": "data/event_explanatory_sample.csv",
60
- "path": "C:\\scraper\\runs\\huggingface_spaces\\nuclear-uap-evidence-surface_contrast4_20260429T024000Z\\data\\event_explanatory_sample.csv",
61
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64
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65
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66
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95
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96
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97
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100
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101
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102
- "path": "C:\\scraper\\runs\\huggingface_spaces\\nuclear-uap-evidence-surface_contrast4_20260429T024000Z\\data\\matched_controls.csv",
103
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@@ -161,7 +179,7 @@
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  "user_explicit_publish_request": true
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  },
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  "metrics": {
164
- "generated_utc": "2026-04-29T02:25:12+00:00",
165
  "package_version": "nuclear_uap_hf_space_package_v0",
166
  "assessment": {
167
  "assessment_version": "nuclear_uap_explanatory_private_preview_v1",
@@ -658,8 +676,8 @@
658
  "nuclear_median_reports_per_site": 446,
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660
  "observed_mean_difference": -113.066667,
661
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676
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  }
@@ -692,14 +710,122 @@
692
  "This run cannot evaluate classified military or weapons-site activity unless those sites are represented by public geocoded source rows.",
693
  "City-level report geocoding introduces location uncertainty and should not be treated as eyewitness-level coordinates."
694
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696
  },
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  "plain_language": {
698
- "what_it_is": "A public-source evidence surface for testing whether public UAP/UFO report rows cluster around nuclear power plants after simple controls.",
699
  "what_it_is_not": "It is not a claim that reports are true, false, alien, aircraft, coordinated, or caused by any one factor.",
700
  "headline_finding": "In this evidence surface, public geocoded report rows do not show a nuclear-specific proximity signal after matched non-nuclear power-plant controls.",
701
  "best_supported_explanation": "Population/reporting geography is a strong observable factor; major-airport proximity appears mostly consistent with where people live."
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710
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711
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712
  ],
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730
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731
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732
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741
+ "interpretation": "descriptive_public_layer_only"
742
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743
+ "public_strategic_delivery_installation": {
744
+ "label": "Public strategic delivery installations identified inside the military layer",
745
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746
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747
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748
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754
+ "interpretation": "descriptive_public_layer_only"
755
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756
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757
+ "what_we_can_claim": [
758
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759
+ "The public military layer is official NTAD geometry; the public NNSA layer is official location text anchored to Census place centroids or source-backed public coordinates."
760
+ ],
761
+ "what_we_cannot_claim": [
762
+ "This layer does not identify classified activity, weapons storage, operational status, or causation.",
763
+ "The public NNSA layer uses place centroids or public coordinate anchors, not exact facility boundaries.",
764
+ "Descriptive proximity to military infrastructure is not a matched-control causal or attraction test."
765
+ ],
766
+ "layer_stats_hash": "cfb6f58a4139401263226f472daa9003eef79c0103405574b6d54571cb1736d6"
767
+ }
768
+ },
769
+ "public_infrastructure_layers": {
770
+ "layer_stats_version": "nuclear_uap_correlation_index_private_preview_v1:public_infrastructure_layers",
771
+ "layer_reports": {
772
+ "public_military_installation": {
773
+ "label": "Public military installations",
774
+ "site_count": 815,
775
+ "event_count": 105250,
776
+ "near_any_counts": {
777
+ "25": 68840,
778
+ "50": 91139,
779
+ "100": 103093
780
+ },
781
+ "event_share_within_50_miles": 0.865929,
782
+ "mean_reports_per_site_50_miles": 552.0736,
783
+ "interpretation": "descriptive_public_layer_only"
784
+ },
785
+ "public_nuclear_security_enterprise": {
786
+ "label": "Public NNSA / nuclear-security-enterprise sites",
787
+ "site_count": 8,
788
+ "event_count": 105250,
789
+ "near_any_counts": {
790
+ "25": 2298,
791
+ "50": 4496,
792
+ "100": 9207
793
+ },
794
+ "event_share_within_50_miles": 0.042717,
795
+ "mean_reports_per_site_50_miles": 504.375,
796
+ "interpretation": "descriptive_public_layer_only"
797
+ },
798
+ "public_strategic_delivery_installation": {
799
+ "label": "Public strategic delivery installations identified inside the military layer",
800
+ "site_count": 10,
801
+ "event_count": 105250,
802
+ "near_any_counts": {
803
+ "25": 2781,
804
+ "50": 5325,
805
+ "100": 9402
806
+ },
807
+ "event_share_within_50_miles": 0.050594,
808
+ "rows_with_nearest_or_nearby_signal": 105250,
809
+ "interpretation": "descriptive_public_layer_only"
810
+ }
811
+ },
812
+ "what_we_can_claim": [
813
+ "This layer measures public report proximity to public-source military-installation and NNSA site anchors.",
814
+ "The public military layer is official NTAD geometry; the public NNSA layer is official location text anchored to Census place centroids or source-backed public coordinates."
815
+ ],
816
+ "what_we_cannot_claim": [
817
+ "This layer does not identify classified activity, weapons storage, operational status, or causation.",
818
+ "The public NNSA layer uses place centroids or public coordinate anchors, not exact facility boundaries.",
819
+ "Descriptive proximity to military infrastructure is not a matched-control causal or attraction test."
820
+ ],
821
+ "layer_stats_hash": "cfb6f58a4139401263226f472daa9003eef79c0103405574b6d54571cb1736d6"
822
  },
823
  "plain_language": {
824
+ "what_it_is": "A public-source evidence surface for testing whether public UAP/UFO report rows cluster around nuclear power plants after simple controls, with descriptive public military/NNSA proximity layers.",
825
  "what_it_is_not": "It is not a claim that reports are true, false, alien, aircraft, coordinated, or caused by any one factor.",
826
  "headline_finding": "In this evidence surface, public geocoded report rows do not show a nuclear-specific proximity signal after matched non-nuclear power-plant controls.",
827
  "best_supported_explanation": "Population/reporting geography is a strong observable factor; major-airport proximity appears mostly consistent with where people live."
828
  }
829
  },
830
+ "manifest_hash": "8a0593b8989673db11c6ed4e915c84aaf1b526fea102bdea04e4c5813f480305"
831
  }
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  "artifacts": [
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  },
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  },
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  {
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  },
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  {
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  "byte_count": 88157,
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  },
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  {
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  "artifact_key": "statistical_tests",
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- "path": "C:\\scraper\\runs\\nuclear_uap_correlation_index\\nuclear_uap_correlation_index_private_preview_final_20260429T010304Z\\statistical_tests.json",
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  },
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  {
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  "artifact_key": "case_cards",
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- "path": "C:\\scraper\\runs\\nuclear_uap_correlation_index\\nuclear_uap_correlation_index_private_preview_final_20260429T010304Z\\case_cards.md",
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- "content_sha256": "224597ded781e090429f4026de79783cd656761cac2098c090c3b663517d589d"
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  },
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  },
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  },
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  "artifact_key": "source_receipts",
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  },
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  },
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  {
91
  "artifact_key": "nuclear_uap_view",
92
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  ],
97
- "artifact_integrity_hash": "e9f9b82037cedf8bb55c0adb1cdee3ffb02f812d2ac2c36a65e8106aedbd770e"
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  }
 
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  {
2
  "artifact_integrity_version": "nuclear_uap_correlation_index_private_preview_v1:integrity",
3
+ "generated_utc": "2026-04-30T11:58:49+00:00",
4
+ "artifact_count": 18,
5
  "artifacts": [
6
  {
7
  "artifact_key": "uap_geocoded_events",
8
+ "path": "C:\\scraper\\runs\\nuclear_uap_correlation_index\\nuclear_uap_infra_layers_release_candidate_20260430T115849Z\\uap_geocoded_events.csv",
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  },
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14
+ "path": "C:\\scraper\\runs\\nuclear_uap_correlation_index\\nuclear_uap_infra_layers_release_candidate_20260430T115849Z\\uap_geocoded_events.jsonl",
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  "byte_count": 96359878,
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  },
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  {
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  "artifact_key": "nuclear_sites",
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  },
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44
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+ "artifact_key": "public_infrastructure_sites",
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+ },
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+ {
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+ "artifact_key": "event_public_infrastructure_proximity",
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+ "path": "C:\\scraper\\runs\\nuclear_uap_correlation_index\\nuclear_uap_infra_layers_release_candidate_20260430T115849Z\\event_public_infrastructure_proximity.csv",
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  },
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+ "content_sha256": "d122df77392ed5a7c2979b495616f92dd2aa333af3cea00945019baf13acac5b"
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  },
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  {
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  "artifact_key": "assessment_report",
80
+ "path": "C:\\scraper\\runs\\nuclear_uap_correlation_index\\nuclear_uap_infra_layers_release_candidate_20260430T115849Z\\assessment_report.md",
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83
  },
84
  {
85
  "artifact_key": "dataset_schema",
86
+ "path": "C:\\scraper\\runs\\nuclear_uap_correlation_index\\nuclear_uap_infra_layers_release_candidate_20260430T115849Z\\dataset_schema.json",
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+ "byte_count": 6670,
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+ "content_sha256": "b5b6bd920f3756e3a67a134f1cb68383e051f3c7be08cd0708f5b098a18cfeef"
89
  },
90
  {
91
  "artifact_key": "source_receipts",
92
+ "path": "C:\\scraper\\runs\\nuclear_uap_correlation_index\\nuclear_uap_infra_layers_release_candidate_20260430T115849Z\\source_receipts.csv",
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+ "byte_count": 4581,
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+ "content_sha256": "23be856dc3f211740c79f3418ce939be288376f5dbcbfeda523c9dd04ea04364"
95
  },
96
  {
97
  "artifact_key": "source_gaps",
98
+ "path": "C:\\scraper\\runs\\nuclear_uap_correlation_index\\nuclear_uap_infra_layers_release_candidate_20260430T115849Z\\source_gaps.csv",
99
  "byte_count": 413,
100
+ "content_sha256": "81a0eae872bed6bf10e4e921a02b21df40b6397740c8614673d5df4bccca548f"
101
  },
102
  {
103
  "artifact_key": "machine_bundle",
104
+ "path": "C:\\scraper\\runs\\nuclear_uap_correlation_index\\nuclear_uap_infra_layers_release_candidate_20260430T115849Z\\machine_bundle.json",
105
+ "byte_count": 387849661,
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+ "content_sha256": "6eefd2a88a4c1c5330780a4b55452462ddd68230420c0411aff9460d364eeb19"
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  },
108
  {
109
  "artifact_key": "nuclear_uap_view",
110
+ "path": "C:\\scraper\\runs\\nuclear_uap_correlation_index\\nuclear_uap_infra_layers_release_candidate_20260430T115849Z\\nuclear_uap_view.html",
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+ "byte_count": 1142,
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+ "content_sha256": "d82578db9431907f7f1bf4af890cd886d4b355649ed847c7c1b4f75ce1f30006"
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  }
114
  ],
115
+ "artifact_integrity_hash": "c7d122571eadd2bc065c2ae2fa4f926e3be2599bfa3dae0a5038b15301339ff7"
116
  }
data/correlation_dataset_schema.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "schema_version": "nuclear_uap_correlation_index_private_preview_v1:schema",
3
- "generated_utc": "2026-04-29T01:03:05+00:00",
4
  "tables": {
5
  "uap_geocoded_events": {
6
  "fields": [
@@ -140,6 +140,80 @@
140
  "row_count": 342,
141
  "primary_key": "site_id"
142
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
143
  "source_receipts": {
144
  "fields": [
145
  "receipt_id",
@@ -155,7 +229,7 @@
155
  "receipt_hash",
156
  "source_gap_reason"
157
  ],
158
- "row_count": 5,
159
  "primary_key": "receipt_id"
160
  },
161
  "source_gaps": {
@@ -177,7 +251,8 @@
177
  "claims_causation": false,
178
  "claims_attraction": false,
179
  "uses_matched_controls": true,
 
180
  "source_gaps_are_rows": true
181
  },
182
- "schema_hash": "6f171f26f96aac21c99c29bfa54e9f0a5bdbd8254ad20d555b3c638877a185f1"
183
  }
 
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  {
2
  "schema_version": "nuclear_uap_correlation_index_private_preview_v1:schema",
3
+ "generated_utc": "2026-04-30T11:58:49+00:00",
4
  "tables": {
5
  "uap_geocoded_events": {
6
  "fields": [
 
140
  "row_count": 342,
141
  "primary_key": "site_id"
142
  },
143
+ "public_infrastructure_sites": {
144
+ "fields": [
145
+ "site_id",
146
+ "site_name",
147
+ "site_layer",
148
+ "site_kind",
149
+ "state",
150
+ "country",
151
+ "latitude",
152
+ "longitude",
153
+ "coordinate_basis",
154
+ "source_name",
155
+ "source_url",
156
+ "source_confidence",
157
+ "public_role",
158
+ "sha256",
159
+ "receipt_hash",
160
+ "what_we_can_claim",
161
+ "what_we_cannot_claim"
162
+ ],
163
+ "row_count": 823,
164
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165
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166
+ "event_public_infrastructure_proximity": {
167
+ "fields": [
168
+ "event_id",
169
+ "event_date",
170
+ "city",
171
+ "state",
172
+ "latitude",
173
+ "longitude",
174
+ "nearest_military_site_id",
175
+ "nearest_military_site_name",
176
+ "nearest_military_distance_miles",
177
+ "within_25_miles_military",
178
+ "within_50_miles_military",
179
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- "generated_utc": "2026-04-29T02:25:12+00:00",
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  "assessment_version": "nuclear_uap_explanatory_private_preview_v1",
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  "This run cannot evaluate classified military or weapons-site activity unless those sites are represented by public geocoded source rows.",
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  "City-level report geocoding introduces location uncertainty and should not be treated as eyewitness-level coordinates."
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- "what_it_is": "A public-source evidence surface for testing whether public UAP/UFO report rows cluster around nuclear power plants after simple controls.",
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  "what_it_is_not": "It is not a claim that reports are true, false, alien, aircraft, coordinated, or caused by any one factor.",
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  "headline_finding": "In this evidence surface, public geocoded report rows do not show a nuclear-specific proximity signal after matched non-nuclear power-plant controls.",
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  "best_supported_explanation": "Population/reporting geography is a strong observable factor; major-airport proximity appears mostly consistent with where people live."
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  "artifact_key": "data/summary_metrics.json",
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  "user_explicit_publish_request": true
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  },
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  "metrics": {
188
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189
  "package_version": "nuclear_uap_hf_space_package_v0",
190
  "assessment": {
191
  "assessment_version": "nuclear_uap_explanatory_private_preview_v1",
 
682
  "nuclear_median_reports_per_site": 446,
683
  "control_median_reports_per_site": 452,
684
  "observed_mean_difference": -113.066667,
685
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686
+ "p_value_two_sided": 0.290709,
687
  "permutations": 1000,
688
  "seed": 1337
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  },
 
697
  "nuclear_median_reports_per_site": 1593,
698
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699
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700
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701
+ "p_value_two_sided": 0.752248,
702
  "permutations": 1000,
703
  "seed": 1337
704
  }
 
716
  "This run cannot evaluate classified military or weapons-site activity unless those sites are represented by public geocoded source rows.",
717
  "City-level report geocoding introduces location uncertainty and should not be treated as eyewitness-level coordinates."
718
  ],
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723
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725
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+ "interpretation": "descriptive_public_layer_only"
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738
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+ "interpretation": "descriptive_public_layer_only"
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+ "interpretation": "descriptive_public_layer_only"
761
+ }
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+ },
763
+ "what_we_can_claim": [
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766
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+ "what_we_cannot_claim": [
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769
+ "The public NNSA layer uses place centroids or public coordinate anchors, not exact facility boundaries.",
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782
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784
+ "50": 91139,
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+ "100": 103093
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+ },
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+ "event_share_within_50_miles": 0.865929,
788
+ "mean_reports_per_site_50_miles": 552.0736,
789
+ "interpretation": "descriptive_public_layer_only"
790
+ },
791
+ "public_nuclear_security_enterprise": {
792
+ "label": "Public NNSA / nuclear-security-enterprise sites",
793
+ "site_count": 8,
794
+ "event_count": 105250,
795
+ "near_any_counts": {
796
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797
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798
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800
+ "event_share_within_50_miles": 0.042717,
801
+ "mean_reports_per_site_50_miles": 504.375,
802
+ "interpretation": "descriptive_public_layer_only"
803
+ },
804
+ "public_strategic_delivery_installation": {
805
+ "label": "Public strategic delivery installations identified inside the military layer",
806
+ "site_count": 10,
807
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808
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+ "interpretation": "descriptive_public_layer_only"
816
+ }
817
+ },
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+ "what_we_can_claim": [
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+ "This layer measures public report proximity to public-source military-installation and NNSA site anchors.",
820
+ "The public military layer is official NTAD geometry; the public NNSA layer is official location text anchored to Census place centroids or source-backed public coordinates."
821
+ ],
822
+ "what_we_cannot_claim": [
823
+ "This layer does not identify classified activity, weapons storage, operational status, or causation.",
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+ "The public NNSA layer uses place centroids or public coordinate anchors, not exact facility boundaries.",
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+ "Descriptive proximity to military infrastructure is not a matched-control causal or attraction test."
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+ ],
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+ "layer_stats_hash": "cfb6f58a4139401263226f472daa9003eef79c0103405574b6d54571cb1736d6"
828
  },
829
  "plain_language": {
830
+ "what_it_is": "A public-source evidence surface for testing whether public UAP/UFO report rows cluster around nuclear power plants after simple controls, with descriptive public military/NNSA proximity layers.",
831
  "what_it_is_not": "It is not a claim that reports are true, false, alien, aircraft, coordinated, or caused by any one factor.",
832
  "headline_finding": "In this evidence surface, public geocoded report rows do not show a nuclear-specific proximity signal after matched non-nuclear power-plant controls.",
833
  "best_supported_explanation": "Population/reporting geography is a strong observable factor; major-airport proximity appears mostly consistent with where people live."
834
  }
835
  },
836
+ "manifest_hash": "0f8ec40eec731a417a7d79c6a04f0667ac65cbbcdbe078425bd5779335c8f95d"
837
  }
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  "repo_id": "cjc0013/nuclear-uap-evidence-surface",
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  "space_url": "https://huggingface.co/spaces/cjc0013/nuclear-uap-evidence-surface",
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- "generated_utc": "2026-04-29T02:25:12+00:00",
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- "source_correlation_run_dir": "C:\\scraper\\runs\\nuclear_uap_correlation_index\\nuclear_uap_correlation_index_private_preview_final_20260429T010304Z",
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  "source_explanatory_run_dir": "C:\\scraper\\runs\\nuclear_uap_explanatory_index\\nuclear_uap_explanatory_index_private_preview_20260429T011500Z",
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  },
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  {
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  "artifact_key": "README.md",
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- "path": "C:\\scraper\\runs\\huggingface_spaces\\nuclear-uap-evidence-surface_contrast4_20260429T024000Z\\README.md",
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- "byte_count": 3613,
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@@ -167,7 +185,7 @@
167
  "user_explicit_publish_request": true
168
  },
169
  "metrics": {
170
- "generated_utc": "2026-04-29T02:25:12+00:00",
171
  "package_version": "nuclear_uap_hf_space_package_v0",
172
  "assessment": {
173
  "assessment_version": "nuclear_uap_explanatory_private_preview_v1",
@@ -664,8 +682,8 @@
664
  "nuclear_median_reports_per_site": 446,
665
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  "observed_mean_difference": -113.066667,
667
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668
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669
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@@ -679,8 +697,8 @@
679
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680
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681
  "observed_mean_difference": -62.764912,
682
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683
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684
  "permutations": 1000,
685
  "seed": 1337
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  }
@@ -698,14 +716,122 @@
698
  "This run cannot evaluate classified military or weapons-site activity unless those sites are represented by public geocoded source rows.",
699
  "City-level report geocoding introduces location uncertainty and should not be treated as eyewitness-level coordinates."
700
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701
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702
  },
703
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704
- "what_it_is": "A public-source evidence surface for testing whether public UAP/UFO report rows cluster around nuclear power plants after simple controls.",
705
  "what_it_is_not": "It is not a claim that reports are true, false, alien, aircraft, coordinated, or caused by any one factor.",
706
  "headline_finding": "In this evidence surface, public geocoded report rows do not show a nuclear-specific proximity signal after matched non-nuclear power-plant controls.",
707
  "best_supported_explanation": "Population/reporting geography is a strong observable factor; major-airport proximity appears mostly consistent with where people live."
708
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4
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  "metrics": {
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  "package_version": "nuclear_uap_hf_space_package_v0",
190
  "assessment": {
191
  "assessment_version": "nuclear_uap_explanatory_private_preview_v1",
 
682
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683
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684
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686
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  "permutations": 1000,
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697
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698
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699
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700
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701
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702
  "permutations": 1000,
703
  "seed": 1337
704
  }
 
716
  "This run cannot evaluate classified military or weapons-site activity unless those sites are represented by public geocoded source rows.",
717
  "City-level report geocoding introduces location uncertainty and should not be treated as eyewitness-level coordinates."
718
  ],
719
+ "statistical_tests_hash": "4d32a1462acc66128ec60c3a39e3cfafcf02ed2223d29ee83810a460021a55fc",
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722
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723
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724
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725
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733
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734
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735
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736
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737
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738
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747
+ "interpretation": "descriptive_public_layer_only"
748
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749
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750
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751
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752
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+ "interpretation": "descriptive_public_layer_only"
761
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762
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763
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764
+ "This layer measures public report proximity to public-source military-installation and NNSA site anchors.",
765
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766
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767
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768
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769
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770
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771
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772
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773
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774
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777
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778
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779
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780
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781
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782
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786
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787
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788
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789
+ "interpretation": "descriptive_public_layer_only"
790
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791
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792
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793
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794
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795
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800
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801
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802
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803
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804
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805
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806
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807
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815
+ "interpretation": "descriptive_public_layer_only"
816
+ }
817
+ },
818
+ "what_we_can_claim": [
819
+ "This layer measures public report proximity to public-source military-installation and NNSA site anchors.",
820
+ "The public military layer is official NTAD geometry; the public NNSA layer is official location text anchored to Census place centroids or source-backed public coordinates."
821
+ ],
822
+ "what_we_cannot_claim": [
823
+ "This layer does not identify classified activity, weapons storage, operational status, or causation.",
824
+ "The public NNSA layer uses place centroids or public coordinate anchors, not exact facility boundaries.",
825
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826
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827
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828
  },
829
  "plain_language": {
830
+ "what_it_is": "A public-source evidence surface for testing whether public UAP/UFO report rows cluster around nuclear power plants after simple controls, with descriptive public military/NNSA proximity layers.",
831
  "what_it_is_not": "It is not a claim that reports are true, false, alien, aircraft, coordinated, or caused by any one factor.",
832
  "headline_finding": "In this evidence surface, public geocoded report rows do not show a nuclear-specific proximity signal after matched non-nuclear power-plant controls.",
833
  "best_supported_explanation": "Population/reporting geography is a strong observable factor; major-airport proximity appears mostly consistent with where people live."
834
  }
835
  },
836
+ "manifest_hash": "0f8ec40eec731a417a7d79c6a04f0667ac65cbbcdbe078425bd5779335c8f95d"
837
  }