The Data on Recidivism (2017)

Try answering these questions: if a state were to lower its recidivism rate by 10%, how would that change the number of jail beds they filled each day over a five year period? In an effort to help remedy this, I worked with a brilliant University of Utah student named Sam Nelson to develop an interactive model that shows how changes to recidivism rates could impact more concrete outcomes, like arrests and prison time. In non-geek-speak, this is a simplified version of SimLife for former prisoners, where each of 1,000 “sims” (i.e., simulated people) is tracked over five years to see how changes to the recidivism rate impact the time they spend behind bars.

Source: sorensonimpact.com