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Using Prognostic Evidence and a Victim-Based Crime Scene Analysis to Predict Terrorists with Certainty

Author: Len Losik

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Page: 108

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Describes the application of prognostics and health management (PHM) technology to predicting terrorists with certainty using prognostic (scientific) evidence created from completing a prognostic analysis using evidence collected from a victim-based crime scene analysis. The author describes the comparison of adopting prognostic evidence to the adoption of probability-based fingerprint evidence as probabilistic evidence and forensic science and the probability-based forensic analysis also with results that are in probabilities that is now accepted as a routine part of a criminal-based crime scene investigation and the acceptance of DNA acceptance as a probability based evidence. The author describes the benefits of adopting a victim-based crime scene analysis over the standard criminal-based crime scene analysis so that law enforcement personnel will have the scientific evidence using a field in predictive science called PHM that uses a prognostic analysis of the evidence collected at a victim-based crime scene analysis to use the results from a victim-based crime scene analysis to predict with certainty the people who will be committing an act of terrorism so they can be legally stopped and questioned, based on the scientifically significant sample set from a victim-based crime scene analysis that becomes prognostic evidence.

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