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socialNOTABLEEstablishedOct 13
Double trouble -- our peer-reviewed machine learning/transient paper has also just been published.
Signal Score
0.00
SOURCE MATERIAL & COVERAGESource-linked
7 items7 sources
PROBED ANALYSIS
Beatriz Villarroel shared a peer-reviewed study using machine learning to distinguish short-lived, star-like features in historical photographic plates from plate defects. The authors report an association between these candidate astronomical transients and nuclear-test dates, alongside a deficit in Earth’s shadow. The strongest timing association occurs on the calendar day before a test—not necessarily 24 hours earlier: the paper cautions that overnight exposures may precede a morning test by only several hours. These findings do not establish that the transients were alien craft or explain their origin, and the authors call for independent replication. Social-media comparisons with the 2004 Nimitz Tic Tac encounter are interpretations, not findings of this study.
KEY DEVELOPMENTS
• August 10, 2026 — Scientific Reports publishes the machine-learning study of transient candidates in historical astronomical images.
• October 12, 2026 — Beatriz Villarroel shares the paper on X; subsequent posts discuss its reported nuclear-test association.
SIGNAL TIMELINE
Signal detected
Oct 12
Source-linked threshold reached
Oct 13
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