Abstract
Annual U.S. violence expense = $3.46 trillion (12.5% GDP). Insurance mass-murder/sex-offending payouts range from $3M-$1.1B. The U.S. Catholic Church has 24/194 (13%) pedophilia-bankrupt dioceses. Using 4-machine learning tests-equations, 7-high-risk predictors are—(1) addiction-alcoholism, (2) antisocial-behavior, (3) deception, (4) depression, (5) paranoia, (6) schizophrenic-thinking, (7) violence-potential—found in 212 studies (320,051 persons); in anticipating violent behavior, 4 tests-equations have 97% impressive predictive accuracy, ASP (Ask Standard Predictor, 2010), BASC (Behavior Assessment System Children, 1992), CAPI (Child Abuse Potential Inventory, 1986), MMPI-2/A (1992). Using tests-equations, over 16-years, insurance-leaders targeted 255,806 high-risk youth with cost-effective, (ROI=$6.42 for every dollar spent) jobs, anger-training, mentors, showing substantially 1,070 less homicides ("Chicago Summer-1 program"). This proves tests-equations with interventions work. Trial lawyer leaders using tests-equations with interventions motivate institutional change by increasing homicide, mass-murder, sex-offending settlements-awards to $10-$100B leading insurance professionals to modify liability contracts mandating continuing professional education in test-equation use, thus lowering premiums, bankruptcies.
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