Documents / Official release
This is a 2023 draft research paper by Richard M. Medina and Simon Brewer of the University of Utah and Sean M. Kirkpatrick of the Department of Defense, prepared for journal submission and released in full by AARO in 2025. It analyzes 98,724 NUFORC public sighting reports from 2001 to 2020 by county with a Bayesian model. It finds that more light pollution and tree canopy mean fewer sightings, while more air traffic and military area mean more. Cloud cover showed no relationship.
“Salisbury”2 pages
025 DNI report summarizes that there is no single explanation for all of these UAP, with potential sources including clutter, commercial drones, national security threats, and other unexplained phenomena. In 1969, another government effort, Project Blue Book determined that 701 sightings out of 12,618 were “unidentified,” but that there was no evidence of 1) any national security threat, 2) advanced technologies beyond present capabilities or knowledge, and 3) extraterrestrial vehicles (U.S. Air Force, nd). While there are some logical explanations for what many are seeing, that they think is unexplained, there are still many uncertainties surrounding UAP activity regardless of the source of the sightings. UAP research is often inconclusive. However, our ability to explain these events seems to have diminished as our sensor technology has advanced and our air activity has increased. In this research, we ask three foundational research questions: 1) What is the viability of publicly offered data on UAP sightings? 2) Are there credible spatial patterns to these sightings? and 3) If so, can these patterns be explained by physical and/or built environment factors? To answer these questions, we use UFO sighting data from the National UFO Research Center. These data offer an opportunity to analyze sightings not available before at a large geographic and temporal view. We model the total count of these sightings for a 20-year period from 2001- 2020, using environmental explanatory variables – light pollution, cloud cover, tree canopy cover, airports, and military installations. This model is intended to represent both the available view of the sky for any given county in the conterminous U.S., as well as the potential for airborne objects. The main hypothesis of this research is that people will report sightings of aerial objects where they have the most opportunity to see them. Specifically, we hypothesize that a) factors that limit visibility will be negatively correlated with sightings, and b) that factors related to air traffic will be positively correlated. To our knowledge, this is the first attempt to understand how the spatial variation in sightings is linked to environmental variables. This analysis offers a starting point for similar correlation theory to be applied to U.S. Government holdings on UAP activity to help identify possible sources, and represents the first serious statistical look at the totality of the available data. History of UAP sighting research and Environmental Explanations There has been little in the way of traditional academic research on UAPs and UAP sightings. This is expected as there are always efforts to discredit scientific endeavors toward understanding this phenomenon (Appelle, 1998). As well, verifiable data sources and questionable accounts have limited the rigor of previous work. While UAPs are typically things of science fiction, we cannot ignore the fact that many people throughout the world report having seen unknown objects in the sky that they cannot explain. In the U.S. there has been significant recent attention given to sightings by members of the military, or other U.S. government personnel. Databases of these events are now being kept by the AARO and the supporting Services, but these efforts only began in 2019, though they do hold information going back to 1996 (Office of the Director of National Intelligence, 2022). Congress has directed AARO to extend this research back to 1945.Page determined to be Unclassified Reviewed by Chief of Staff, AARO IAW FY24 NDAA, Section 1841 (a)(1)(C) Date: 02/06/2025
Official release, from the nara collection. The PDF is mirrored here; the original link is above. 16 pages are in the text index: search them above, or from the library's search.