Policy Impact Analysis - 117/S/4404

Bill Overview

Title: HARD ROCK Act of 2022

Description: This bill authorizes the National Defense Stockpile Manager (the Department of Defense) to take certain actions to address industrial base shortfalls.

Sponsors: Sen. Ernst, Joni [R-IA]

Target Audience

Population: People dependent on industries of critical minerals and defense

Estimated Size: 25000000

Reasoning

Simulated Interviews

Mining Engineer (Butte, Montana)

Age: 40 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • The policy seems like a good step for securing our national resources and ensuring job stability.

Wellbeing Over Time (With vs Without Policy)

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

Factory Worker in Defense Manufacturing (Birmingham, Alabama)

Age: 58 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • I hope this policy will secure our materials supply and help keep my job safe until I retire.

Wellbeing Over Time (With vs Without Policy)

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

Mineral Processing Supervisor (Phoenix, Arizona)

Age: 30 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 3/20

Statement of Opinion:

  • The act could bolster production and perhaps lead to expansions, which is great for career advancement.

Wellbeing Over Time (With vs Without Policy)

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

Geologist for a Federal Agency (Reno, Nevada)

Age: 52 | Gender: other

Wellbeing Before Policy: 8

Duration of Impact: 7.0 years

Commonness: 2/20

Statement of Opinion:

  • Supportive of the initiative but concerned about execution and environmental impacts.

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 8 6
Year 10 7 6
Year 20 6 5

Research Scientist in Battery Technology (Seattle, Washington)

Age: 25 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 4/20

Statement of Opinion:

  • This could ease supply issues, but we need to stay ahead with respectful sourcing.

Wellbeing Over Time (With vs Without Policy)

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

Retired Defense Contractor (Detroit, Michigan)

Age: 60 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 5/20

Statement of Opinion:

  • I think it's crucial for national security, but I don't expect much personal impact.

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 6 6
Year 10 5 5
Year 20 5 5

Environmental Lawyer (Houston, Texas)

Age: 45 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 2/20

Statement of Opinion:

  • Concerned about potential disregard for environmental protections.

Wellbeing Over Time (With vs Without Policy)

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

Data Analyst in Mining Sector (Salt Lake City, Utah)

Age: 31 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 4.0 years

Commonness: 3/20

Statement of Opinion:

  • Hopeful that increased investment will enhance data-driven sustainability in mining operations.

Wellbeing Over Time (With vs Without Policy)

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

Maintenance Worker in Manufacturing (Scranton, Pennsylvania)

Age: 50 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 4/20

Statement of Opinion:

  • I appreciate any moves that secure jobs in our industry, but unclear on direct benefits.

Wellbeing Over Time (With vs Without Policy)

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

Economics Professor (Denver, Colorado)

Age: 44 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 8.0 years

Commonness: 2/20

Statement of Opinion:

  • Analytically supportive, though worried about environmental and socio-economic impacts.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $200000000 (Low: $150000000, High: $250000000)

Year 2: $210000000 (Low: $160000000, High: $260000000)

Year 3: $220000000 (Low: $170000000, High: $270000000)

Year 5: $240000000 (Low: $190000000, High: $290000000)

Year 10: $260000000 (Low: $210000000, High: $310000000)

Year 100: $260000000 (Low: $210000000, High: $310000000)

Key Considerations