Ep 4 Solving the Recidivism Constraint episode artwork

EPISODE · Mar 23, 2026 · 28 MIN

Ep 4 Solving the Recidivism Constraint

from Deep Dive into Theory of Constraints · host DrAlanBarnard

In this episode of Deep Dives into Theory of Constraints we analyze the white paper "Breaking the Recidivism Constraint"  by Dr Alan Barnard (CEO of Goldratt Research Labs) and Kirk Lambert (Adult Probation and Parole Sergeant with the Utah Department of Corrections). This Deep Dive explains how the Theory of Constraints, ProConCloud, and AI-augmented decision support can refocus probation and parole efforts to reduce rearrest rates. We review stark recidivism data, identify the primary operational constraint—overburdened agents—and describe the proposed solution: segment clients into three groups, concentrate human attention on the 60–80% swing group, capture tacit expertise via AI, and front-load targeted interventions in the critical weeks after release. The episode closes with pilot recommendations, expected cost and public-safety benefits, and a consideration of applying the same methodology upstream to prevent future system involvement.

Episode metadata supplied by the publisher feed · Published Mar 23, 2026

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Ep 4 Solving the Recidivism Constraint

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This episode was published on March 23, 2026.

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