Epstein Secrets

ll and 58% of men);' that high scores are likely driven by static factors such as age of first conviction and criminal history 26 See Richard Berk, Acturag, and Fairness for Juvenile Jmike Risks Assessments, 16 J. EMPIRICAL LEG. STUD. 175, 184 (2019). 26 See DOJ Report at 29 (referring implicitly to wh

ttaching as Exhibit A the Federal Defenders' letter to the NIJ. 12 Michael Tonry, Legal and Ethical Issues in the Prediction of Recidivism, 26 FED. SENT'G REP. 167, 167 (2014). " 18 U.S.C. § 3632(a)(5)(A). 14 See DOJ Report at 42-43. 15 See supra notes 10& 11. 16 Pamela M. Casey et al., National Center

ll and 58% of men);' that high scores are likely driven by static factors such as age of first conviction and criminal history 26 See Richard Berk, Acturag, and Fairness for Juvenile Jmike Risks Assessments, 16 J. EMPIRICAL LEG. STUD. 175, 184 (2019). 26 See DOJ Report at 29 (referring implicitly to wh

ttaching as Exhibit A the Federal Defenders' letter to the NIJ. 12 Michael Tonry, Legal and Ethical Issues in the Prediction of Recidivism, 26 FED. SENT'G REP. 167, 167 (2014). " 18 U.S.C. § 3632(a)(5)(A). 14 See DOJ Report at 42-43. 15 See supra notes 10& 11. 16 Pamela M. Casey et al., National Center

ll and 58% of men);' that high scores are likely driven by static factors such as age of first conviction and criminal history 26 See Richard Berk, Acturag, and Fairness for Juvenile Jmike Risks Assessments, 16 J. EMPIRICAL LEG. STUD. 175, 184 (2019). 26 See DOJ Report at 29 (referring implicitly to wh

ttaching as Exhibit A the Federal Defenders' letter to the NIJ. 12 Michael Tonry, Legal and Ethical Issues in the Prediction of Recidivism, 26 FED. SENT'G REP. 167, 167 (2014). " 18 U.S.C. § 3632(a)(5)(A). 14 See DOJ Report at 42-43. 15 See supra notes 10& 11. 16 Pamela M. Casey et al., National Center