# Prison data analysis finds choosing lowest reoffending risk scores preserves overall accuracy

Source: [Science News - Mathematics, Economics, Archaeology, Fossils](https://phys.org/news/2026-11-prison-analysis-lowest-reoffending-scores.html) · 2026-11-10 · Life
Page: https://themorning.science/story/prison-data-analysis-finds-choosing-lowest-reoffending-risk-scores-preserves-ove-be3a5e487c2a78eb
Kind: research · Impact: low

## In brief

- An analysis of prison data examined how to handle equally likely reoffending risk scores when predicting recidivism.
- The study reports that choosing the lowest of several equally likely risk scores preserves overall accuracy.
- The source is a short excerpt, so further methodological detail is not available from the provided text.

## Why it matters

Risk assessment tools used in criminal justice may have tie-breaking choices that affect individual outcomes, so the way scores are selected matters for science and policy readers.

## Timeline

- 2026-11-11: Science News reported the prison data analysis on lowest reoffending risk scores

## Coverage

- [Prison data analysis finds choosing lowest reoffending risk scores preserves overall accuracy](https://phys.org/news/2026-11-prison-analysis-lowest-reoffending-scores.html) — Science News - Mathematics, Economics, Archaeology, Fossils, 2026-11-10

Tags: recidivism, risk assessment, machine learning, criminal justice, prison data

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Brief generated by AI (claude-haiku-5-5) from the reporting listed under Coverage. Headlines belong to their publishers. The Morning Science – https://themorning.science