Satellite conjunction analysis and the false confidence theorem

11th June, 2019
    Scott FersonInstitute Director

A forthcoming paper in Proceedings of the Royal Society A entitled "Satellite conjunction analysis and the false confidence theorem" explores the practical consequences of treating a non-random event as though it were random, a practice that is currently common among statisticians, engineers, and applied scientists. When analyzing the uncertain paths of two objects predicted to pass near each other in orbit, this practice leads to a severe and persistent underestimate of collision risks. This is especially serious if it masks the chance of a cascade of collisions, each generating more space debris that increases the likelihood of further collisions, which could potentially render space unnavigable for generations. Further, this statistical problem is a general issue, not unique to satellite collision risk analysis. Fortunately, alternative approaches to inference are well-established, and we show how to identify methods that are free from false confidence.

Distribution of debris in orbit around the Earth. Image: NASA Orbital Debris Program Office

Further reading:

  • Wikipedia: Kessler syndrome
  • Cornell University: Satellite conjunction analysis and the false confidence theorem
  • Laboratory for Atmospheric and Space Physics: Aerospace Environment
  • NASA: Conjunction Assessment Risk Analysis
  • Wikipedia: Combined Space Operations Center
  • Spaceflight 101: High-Risk Satellite Conjunction passes without Incident
  • Spaceflight 101: High-Risk Satellite Conjunction passes without Incident
  • Center for Space Standards and Innovation: Advances in Satelite Conjunction Analysis
  • The Aerospace Corporation & Air Force Research Laboratory: A Comparison of Satellite Conjunction Analysis Screening Tools
  • Space Data Association: The Space Data Association… How Close Is Close (Analysis)
  • Russell Stoneback: Python Satellite Data Analysis Toolkit