Policy Impact Analysis - 117/S/5290

Bill Overview

Title: STOP Act 2.0

Description: This bill directs the Government Accountability Office to evaluate the implementation of a 2018 law that requires increased shipment-tracking responsibilities and coordination between the U.S. Postal Service and U.S. Customs and Border Protection regarding international shipments of controlled substances (e.g., fentanyl).

Sponsors: Sen. Klobuchar, Amy [D-MN]

Target Audience

Population: People involved in or impacted by the international shipment of controlled substances

Estimated Size: 50000000

Reasoning

Simulated Interviews

Customs Officer (Los Angeles, CA)

Age: 32 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • The policy could make my job more efficient since additional coordination is expected. However, it could also mean more workload without significant additional resources or pay increases.

Wellbeing Over Time (With vs Without Policy)

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

Pharmacy Technician (Pittsburgh, PA)

Age: 45 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 8/20

Statement of Opinion:

  • I believe the policy could eventually reduce the availability of illegal drugs like fentanyl in my community, which might make my work safer and improve community health.

Wellbeing Over Time (With vs Without Policy)

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

Postal Worker (Miami, FL)

Age: 27 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • The policy could make my job more complex as tracking increases, but it's a necessary step to stop illegal shipments.

Wellbeing Over Time (With vs Without Policy)

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

Community Health Worker (Dayton, OH)

Age: 52 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 20.0 years

Commonness: 15/20

Statement of Opinion:

  • The policy is a step forward in mitigating the drug crisis. However, direct health interventions are urgently needed alongside it.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 4 4
Year 2 4 4
Year 3 5 4
Year 5 5 4
Year 10 6 5
Year 20 6 5

International Logistics Manager (Seattle, WA)

Age: 39 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • There might be an increase in operational costs due to the policy, however, the increased tracking might deter illegal activities.

Wellbeing Over Time (With vs Without Policy)

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

Retired (Atlanta, GA)

Age: 60 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • I hope this policy limits the amount of drugs coming into our neighborhood, potentially reducing crime.

Wellbeing Over Time (With vs Without Policy)

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

Software Engineer (Denver, CO)

Age: 30 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • There are privacy concerns with increased tracking, but if managed well, it could improve safety and efficiency.

Wellbeing Over Time (With vs Without Policy)

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

Drug Policy Analyst (New York, NY)

Age: 41 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 3/20

Statement of Opinion:

  • This is a piece of the larger puzzle needed to address the international drug trade. It alone won't solve domestic drug issues.

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 8 7
Year 20 8 7

Warehouse Supervisor (Houston, TX)

Age: 55 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • Policy changes might slow down shipment processes, but could ensure safer and more lawful operations.

Wellbeing Over Time (With vs Without Policy)

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

College Student (Chicago, IL)

Age: 23 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 18/20

Statement of Opinion:

  • Any policy that limits the availability of drugs can help create a safer environment for students.

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 7

Cost Estimates

Year 1: $15000000 (Low: $10000000, High: $20000000)

Year 2: $15000000 (Low: $10000000, High: $20000000)

Year 3: $15000000 (Low: $10000000, High: $20000000)

Year 5: $0 (Low: $0, High: $0)

Year 10: $0 (Low: $0, High: $0)

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

Key Considerations