Cause-and-Effect or Fooled by Randomness?

dc.contributor.authorLewis, Ted G.
dc.contributor.corporateCenter for Homeland Defense and Security (CHDS)
dc.date2010-01
dc.date.accessioned2013-01-03T16:26:54Z
dc.date.available2013-01-03T16:26:54Z
dc.date.issued2010-01-00
dc.descriptionThis article appeared in Homeland Security Affairs (January 2010), v.6 no.1en_US
dc.description.abstractThis article develops an unconventional theory of infrastructure criticality based on decade-old ideas from a variety of disciplines. First, the concept of self-organized criticality (SOC) is explained using three simple simulations proposed by Per Bak, Newman, and Amaral-Meyers. Each simulation illustrates an aspect of SOC: self-organization, randomness as an underlying engine of disaster, and the role of interdependency or connectivity in complex systems. Next, the discussion shifts to an explanation of a general property shared by many major disasters: the fractal power law. Power laws turn out to be appropriate proxies for the insurance industry measure of likelihood called exceedence probability (probability of consequence equal to or greater than some size). The power law exceedence probability curve is associated with nearly all sectors prone to catastrophe. This is no coincidence, but more intriguing is the realization that power law exceedence probability curves can be produced from purely underlying randomness. This supports the author's conjecture that catastrophic incidents (often) occur because of randomness -- not strictly cause-and-effect.en_US
dc.identifier.citationHomeland Security Affairs (January 2010), v.6 no.1
dc.identifier.urihttps://hdl.handle.net/10945/25058
dc.publisherMonterey, CA; Naval Postgraduate School Center for Homeland Defense and Security
dc.relation.ispartofseriesHomeland Security Affairs (Journal)
dc.rightsThe copyright of all articles published in Homeland Security Affairs rests with the author[s] of the articles. Any commercial use of Homeland Security Affairs or the articles published herein is expressly prohibited without the written consent of the copyright holder. Anyone can copy, distribute, or reuse these articles as long as the author and original source are properly cited.en_US
dc.titleCause-and-Effect or Fooled by Randomness?en_US
dc.typeArticle
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