Medina R M, Brewer S C, Kirkpatrick S M
Department of Geography, University of Utah, Salt Lake City, UT, 84112, USA.
United States Department of Defense, Washington D.C., 20301, USA.
Sci Rep. 2023 Dec 14;13(1):22213. doi: 10.1038/s41598-023-49527-x.
Sightings of unidentified flying objects (UFOs) or unidentified anomalous phenomena (UAP) have been reported throughout history. Given the potential security and safety risks they pose, as well as scientific curiosity, there is increasing interest in understanding what these sighting reports represent. We approach this problem as an important one of the human experience and that can be examined through a geographical lens: what local factors may increase or decrease the number of sighting reports? Using a Bayesian regression method, we test hypotheses based on variables representing sky view potential (light pollution, tree canopy, and cloud cover) and the potential for objects to be present in the sky (aircraft and military installations). The dependent variable includes over 98,000 publicly reported UAP sightings in the conterminous United States during the 20-year period from 2001 to 2020. The model results find credible correlations between variables that suggest people see more "phenomena" when they have more opportunity to. This analysis is one of few investigations of UAP sighting reports at a national scale providing context to help examine individual reports. Given that these objects are labeled unidentifiable in the personal sense, there are many natural and/or human based explanations worth exploring.
纵观历史,不明飞行物(UFO)或不明异常现象(UAP)的目击报告屡见不鲜。鉴于它们可能带来的安全风险以及引发的科学好奇心,人们越来越有兴趣了解这些目击报告究竟意味着什么。我们将这个问题视为人类经历中的一个重要问题,并可以通过地理学视角来审视:哪些当地因素可能会增加或减少目击报告的数量?我们使用贝叶斯回归方法,基于代表天空视野潜力(光污染、树冠层和云层覆盖)以及天空中物体存在可能性(飞机和军事设施)的变量来检验假设。因变量包括2001年至2020年这20年间在美国本土公开报告的超过98000起UAP目击事件。模型结果发现变量之间存在可信的相关性,这表明当人们有更多机会时,他们会看到更多的“现象”。该分析是为数不多的在全国范围内对UAP目击报告进行的调查之一,为帮助审视个别报告提供了背景信息。鉴于这些物体在个人层面上被标记为无法识别,有许多基于自然和/或人类的解释值得探索。