Policy Impact Analysis - 117/HR/9108

Bill Overview

Title: Endangered Species Transparency and Reasonableness Act of 2022

Description: This bill revises requirements concerning determinations on whether a species is a threatened or endangered species under the Endangered Species Act of 1973 (ESA) and caps attorney's fees to prevailing parties in ESA citizen suits. The U.S. Fish and Wildlife Service (USFWS) and the National Marine Fisheries Service (NMFS) must publish online, subject to privacy or administrative limitations, the best scientific and commercial data available that are the basis for each determination. The bill states that the term best scientific and commercial data available includes all data submitted by a state, tribal, or county government. Thus, the USFWS and NMFS would no longer consider whether data from those sources are the best scientific and commercial data available. Instead, the data would be automatically deemed the best scientific and commercial data available regardless of the quality of the data. Before making a determination on whether a species is an endangered or threatened species, the USFWS and NMFS must provide affected states with all of the data that is the basis of the determination. The Department of the Interior must also publish and maintain an online searchable database that discloses federal expenditures related to litigation under the ESA.

Sponsors: Rep. McClintock, Tom [R-CA-4]

Target Audience

Population: People concerned with environmental conservation and species protection

Estimated Size: 10000000

Reasoning

Simulated Interviews

Environmental Lawyer (Washington, D.C.)

Age: 35 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • I am concerned that capping attorney fees will discourage lawsuits essential to enforce environmental protections.
  • The increased transparency in scientific data might be beneficial, but the way data from states and counties is handled is worrisome.

Wellbeing Over Time (With vs Without Policy)

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

Conservation Scientist (California)

Age: 47 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • Science must not be compromised by unverified data; this bill puts a veil on conservation research.
  • Transparency is welcomed, but the essence of 'best available science' is being overridden.

Wellbeing Over Time (With vs Without Policy)

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

Park Ranger (Montana)

Age: 29 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 12/20

Statement of Opinion:

  • Increased transparency is good, but how can we be sure the data is indeed the best when there's no review?
  • I hope this doesn't lead to more species becoming at risk due to lower quality data.

Wellbeing Over Time (With vs Without Policy)

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

Oil Industry Executive (Texas)

Age: 55 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • Capping legal fees is a step in the right direction; it prevents frivolous lawsuits.
  • Transparency in wildlife data might streamline operations.

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

State Wildlife Official (Colorado)

Age: 42 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 10/20

Statement of Opinion:

  • This practically means more workload due to additional data requirements.
  • It remains unclear how unvetted data impacts long-term conservation efforts.

Wellbeing Over Time (With vs Without Policy)

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

Retired Fisherman (Maine)

Age: 60 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 3/20

Statement of Opinion:

  • I'm worried practical decisions will override ecological needs.
  • Our waters need true scientific assessments to stay healthy.

Wellbeing Over Time (With vs Without Policy)

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

Environmental Science Student (New York)

Age: 23 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 20.0 years

Commonness: 14/20

Statement of Opinion:

  • This act seems to prioritize convenience over actual conservation.
  • We're losing trust in how science is validated for important decisions.

Wellbeing Over Time (With vs Without Policy)

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

Legal Consultant (Florida)

Age: 50 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 8.0 years

Commonness: 6/20

Statement of Opinion:

  • It's a double-edged sword; transparency is enhanced but at what cost to data integrity?
  • Legal actions might shift focus due to attorney fee capping.

Wellbeing Over Time (With vs Without Policy)

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

Tribal Government Official (Arizona)

Age: 38 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 12.0 years

Commonness: 5/20

Statement of Opinion:

  • Including tribal data is essential but must be done with due diligence and respect for its quality.
  • Improper recognition of quality could lead to gaps in conservation efforts.

Wellbeing Over Time (With vs Without Policy)

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

Tech Industry Worker (Oregon)

Age: 28 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 20/20

Statement of Opinion:

  • As much as I appreciate transparency, the validity of data matters more.
  • I worry that this will undermine efforts to protect endangered species in our area.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $25000000 (Low: $20000000, High: $30000000)

Year 2: $23000000 (Low: $18000000, High: $28000000)

Year 3: $20000000 (Low: $15000000, High: $25000000)

Year 5: $18000000 (Low: $13000000, High: $23000000)

Year 10: $15000000 (Low: $10000000, High: $20000000)

Year 100: $5000000 (Low: $2000000, High: $10000000)

Key Considerations