Policy Impact Analysis - 117/S/4003

Bill Overview

Title: Law Enforcement De-Escalation Training Act of 2022

Description: This act directs the Department of Justice (DOJ) to develop scenario-based training curricula (or identify existing curricula) that includes topics such as alternatives to the use of force, de-escalation tactics, and safely responding to an individual experiencing a mental, behavioral health, or suicidal crisis. The act also directs DOJ to make grants to states for costs associated with providing the training to law enforcement officers or mental health professionals.

Sponsors: Sen. Cornyn, John [R-TX]

Target Audience

Population: Individuals encountering law enforcement

Estimated Size: 3000000

Reasoning

Simulated Interviews

law enforcement officer (Chicago, IL)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 5/20

Statement of Opinion:

  • I think the training is much needed as we encounter more mental health issues on the job.
  • De-escalation particularly will help in reducing incidents and improving officer safety.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 8 6
Year 5 8 5
Year 10 9 5
Year 20 9 5

mental health crisis counselor (Seattle, WA)

Age: 32 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • I'm hopeful that this training will lead to better cooperation between mental health professionals and law enforcement.
  • It should result in fewer injuries that we see in crisis calls.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 8 7
Year 5 9 7
Year 10 9 7
Year 20 8 6

retired teacher (Boston, MA)

Age: 60 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • I hope this will make my community safer and help build trust between the officers and the community.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 6 6
Year 3 6 6
Year 5 7 6
Year 10 7 6
Year 20 8 6

college student (San Francisco, CA)

Age: 25 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • This policy is a step in the right direction but needs to be part of a broader reform.
  • Training alone without systemic change may not be sufficient.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 6 5
Year 3 7 5
Year 5 7 5
Year 10 6 5
Year 20 6 5

corporate manager (Miami, FL)

Age: 40 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • I think any measure that improves police training is positive and can improve business environments.
  • I don't think the policy affects me directly.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 7 7
Year 5 8 7
Year 10 8 7
Year 20 8 7

police dispatcher (Houston, TX)

Age: 50 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • This training might make my job easier as officers will be better prepared for crisis calls.
  • It could reduce the stress levels associated with high-pressure calls.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 7 6
Year 5 8 6
Year 10 8 6
Year 20 8 5

freelance journalist (New York, NY)

Age: 35 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • I believe more transparency and accountability are needed, but this training is a positive start.
  • I'm cautious about how much real change this can bring without more reform.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 5
Year 3 6 5
Year 5 7 5
Year 10 6 5
Year 20 5 5

social worker (Denver, CO)

Age: 28 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 6/20

Statement of Opinion:

  • Training like this will possibly make intervention safer for everyone involved, including social workers.
  • It's a step towards acknowledging the mental health aspects in law enforcement practices.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 9 7
Year 5 9 7
Year 10 8 7
Year 20 8 7

law enforcement officer (Phoenix, AZ)

Age: 48 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 3/20

Statement of Opinion:

  • I'm hopeful but also worried that the funds may not be sufficient for extensive policy reach in rural areas.
  • De-escalation training is extremely important for officer and community safety.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 6
Year 3 8 6
Year 5 8 6
Year 10 9 6
Year 20 9 6

community organizer (Los Angeles, CA)

Age: 26 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • This is beneficial but addressing systemic issues requires more than training.
  • Training could be a vital tool in improving current police-community relationships.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 5
Year 3 6 5
Year 5 7 5
Year 10 7 5
Year 20 6 5

Cost Estimates

Year 1: $150000000 (Low: $120000000, High: $180000000)

Year 2: $140000000 (Low: $110000000, High: $170000000)

Year 3: $140000000 (Low: $110000000, High: $170000000)

Year 5: $140000000 (Low: $110000000, High: $170000000)

Year 10: $140000000 (Low: $110000000, High: $170000000)

Year 100: $0 (Low: $0, High: $0)

Key Considerations