Cluster Analysis of UAP Features from 216 Historical Reports
Stephen Bruehl, Sarah Little, Robert M. Powell
World Futures: The Journal of New Paradigm Research
Summary
Quantitative cluster analysis of 216 UAP reports drawn from historical databases spanning 1947-2016. Uses statistical clustering to identify groups of reports sharing common feature profiles - shape, behavior, observed effects - and finds statistically significant patterns that resist conventional explanations. One of the more methodologically rigorous empirical UAP studies published to date. Robert Powell is a key DECUR figure through his SCU work.
Abstract
We apply cluster analysis to a dataset of 216 high-quality UAP reports from 1947 to 2016. Reports are characterized by features including object shape, flight behavior, observed physical effects, and witness characteristics. Statistical clustering reveals multiple distinct feature groupings, providing quantitative structure to the historically qualitative UAP report literature.
Citation
Stephen Bruehl, Sarah Little, Robert M. Powell. (2025). World Futures: The Journal of New Paradigm Research. DOI: 10.1080/02604027.2025.2561724
https://doi.org/10.1080/02604027.2025.2561724