Policy Impact Analysis - 117/S/5139

Bill Overview

Title: Hide No Harm Act of 2022

Description: This bill establishes criminal penalties for corporate officers who fail to inform federal agencies, their employees, or affected individuals of any serious physical danger that is associated with their products or services. It also prohibits retaliatory action against whistleblowers.

Sponsors: Sen. Blumenthal, Richard [D-CT]

Target Audience

Population: People who use or are affected by corporate products or services

Estimated Size: 200000000

Reasoning

Simulated Interviews

Corporate Officer (San Francisco, CA)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 3/20

Statement of Opinion:

  • Initially skeptical as initial compliance costs might increase.
  • Concerned about the penalties but sees potential benefits in improved consumer trust.

Wellbeing Over Time (With vs Without Policy)

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

Product Safety Manager (Austin, TX)

Age: 32 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • Sees the policy as a positive step towards more transparency in product safety.
  • Believes it aligns well with her personal and professional values.

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 9 7
Year 20 9 7

Factory Worker (Detroit, MI)

Age: 39 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 15.0 years

Commonness: 8/20

Statement of Opinion:

  • Feels more secure about reporting potential hazards due to the protections.
  • Hopes the policy will improve working conditions.

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 8 5
Year 20 8 5

Whistleblower (Raleigh, NC)

Age: 28 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 20.0 years

Commonness: 2/20

Statement of Opinion:

  • Sees the policy as crucial for his security and professional integrity.
  • Encouraged by the additional layer of legal protection.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 5
Year 3 7 5
Year 5 8 4
Year 10 8 4
Year 20 9 3

Consumer Electronics Buyer (Los Angeles, CA)

Age: 55 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • Appreciates improved transparency which aids in selecting safer products.
  • Believes the policy will enhance market standards globally.

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 6
Year 10 8 6
Year 20 8 6

Corporate Lawyer (Chicago, IL)

Age: 42 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • Sees this policy aligning with her goals of increased corporate accountability.
  • Expects an increase in workload, but supports the positive outcomes.

Wellbeing Over Time (With vs Without Policy)

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

Retired Manufacturing Supervisor (New York, NY)

Age: 60 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • Believes the policy should have been implemented sooner.
  • Optimistic about the future safety improvements for current workers.

Wellbeing Over Time (With vs Without Policy)

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

Public Health Researcher (Seattle, WA)

Age: 36 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • Welcomes the policy as a necessary step toward safer consumer markets.
  • Eager to see data on the policy's impact over time.

Wellbeing Over Time (With vs Without Policy)

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

Software Developer (Houston, TX)

Age: 29 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 2.0 years

Commonness: 15/20

Statement of Opinion:

  • Believes the policy could push companies to better use data to protect users.
  • Hopes it leads to higher trust in the tech products.

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 6
Year 20 8 6

Small Business Owner (Phoenix, AZ)

Age: 48 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • Concerned about possible increased costs due to compliance.
  • Hopes the policy will weed out unsafe products thereby increasing customer trust.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $50000000 (Low: $30000000, High: $70000000)

Year 2: $52000000 (Low: $31000000, High: $73000000)

Year 3: $54000000 (Low: $32000000, High: $76000000)

Year 5: $58000000 (Low: $35000000, High: $82000000)

Year 10: $68000000 (Low: $41000000, High: $96000000)

Year 100: $100000000 (Low: $70000000, High: $130000000)

Key Considerations