Policy Impact Analysis - 117/HR/8992

Bill Overview

Title: Methane Super-Emitter Strategy Act of 2022

Description: This bill requires the National Aeronautics and Space Administration to enter an agreement with the National Academies of Sciences, Engineering, and Medicine to develop a science-based strategy to assess, evaluate, and make recommendations regarding the use of present and future greenhouse gas monitoring and detection capabilities.

Sponsors: Rep. Beyer, Donald S., Jr. [D-VA-8]

Target Audience

Population: Individuals globally impacted by climate change and greenhouse gas emissions.

Estimated Size: 331000000

Reasoning

Simulated Interviews

Petroleum Engineer (Houston, TX)

Age: 45 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • This policy will likely increase reporting requirements for oil and gas operations, which could mean more work but also more accountability.

Wellbeing Over Time (With vs Without Policy)

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

Environmental Activist (Los Angeles, CA)

Age: 32 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • It's critical that we have accurate data on methane emissions to push for stronger regulatory actions and hold polluters accountable.
  • This is a step forward, but much more is needed.

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 8
Year 20 10 9

Farmer (Omaha, NE)

Age: 50 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 8.0 years

Commonness: 6/20

Statement of Opinion:

  • If this leads to better climate predictions, it might help us plan better for growing seasons.
  • I'm cautiously optimistic but need to see concrete changes.

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 8 7

Data Scientist (New York City, NY)

Age: 28 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • Better data means better models, which means we can make smarter decisions about how to mitigate climate risks.

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 10 9
Year 20 10 9

Retired (Miami, FL)

Age: 60 | Gender: other

Wellbeing Before Policy: 4

Duration of Impact: 20.0 years

Commonness: 8/20

Statement of Opinion:

  • While this policy won't directly change sea levels immediately, improved monitoring is a small but necessary step toward broader climate solutions.

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 7 6

Teacher (Denver, CO)

Age: 40 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • It's essential for our students to understand the importance of monitoring emissions as part of tackling climate change.

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 8
Year 20 9 8

Software Developer (Seattle, WA)

Age: 26 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 15.0 years

Commonness: 5/20

Statement of Opinion:

  • I'm excited to see how more accurate data will enhance AI solutions for climate change mitigation.

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 10 9
Year 20 10 9

Coal Industry Worker (Rural Kentucky)

Age: 52 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • Policy changes like these make me worry about the future of jobs in the coal industry.
  • While necessary, the transition should consider the workforce impacts.

Wellbeing Over Time (With vs Without Policy)

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

Policy Analyst (Chicago, IL)

Age: 37 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 3/20

Statement of Opinion:

  • We need effective policies that incorporate scientific data to drive long-term change.
  • This lays a foundation, but action has to follow analysis.

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 9 7
Year 10 9 8
Year 20 10 8

Hospitality Worker (New Orleans, LA)

Age: 48 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • Every action counts when it comes to climate change, but I hope this translates to meaningful action soon.

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

Cost Estimates

Year 1: $25000000 (Low: $15000000, High: $35000000)

Year 2: $25000000 (Low: $15000000, High: $35000000)

Year 3: $26000000 (Low: $16000000, High: $36000000)

Year 5: $27000000 (Low: $17000000, High: $37000000)

Year 10: $30000000 (Low: $20000000, High: $40000000)

Year 100: $35000000 (Low: $25000000, High: $45000000)

Key Considerations