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ntana, New York, Ohio, South Dakota, Texas, West Virginia, and Wisconsin. Although the Bureau reported tha
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
ntana, New York, Ohio, South Dakota, Texas, West Virginia, and Wisconsin. Although the Bureau reported tha
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
ntana, New York, Ohio, South Dakota, Texas, West Virginia, and Wisconsin. Although the Bureau reported tha
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
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