Bill Overview
Title: For the relief of Ivana Alexandra Sifuentes Arbirio and Luisa Mariana Sifuentes Arbirio.
Description: Provides for the relief of Ivana Alexandra Sifuentes Arbirio and Luisa Mariana Sifuentes Arbirio.
Sponsors: Rep. Correa, J. Luis [D-CA-46]
Target Audience
Population: People impacted are Ivana Alexandra Sifuentes Arbirio and Luisa Mariana Sifuentes Arbirio
Estimated Size: 0
- The bill specifically names Ivana Alexandra Sifuentes Arbirio and Luisa Mariana Sifuentes Arbirio, implying these two individuals are directly impacted.
- Legislation that provides relief to named individuals usually does not directly impact a larger group unless stated otherwise.
Reasoning
- The policy is very narrowly tailored to impact two individuals named in the bill, meaning almost no broader social or economic impacts are expected in the general population.
- It is important to explore varied perspectives from people who are not directly impacted to understand whether there are indirect social perceptions or opinions formed due to the passage of such individualized legislation.
Simulated Interviews
lawyer (Los Angeles, CA)
Age: 35 | Gender: male
Wellbeing Before Policy: 6
Duration of Impact: 0.0 years
Commonness: 10/20
Statement of Opinion:
- Policies like these can set a precedent for individual relief cases.
- I doubt there will be any significant national impact economically or in terms of wellbeing.
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 | 6 | 6 |
| Year 20 | 6 | 6 |
high school teacher (Miami, FL)
Age: 50 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 0.0 years
Commonness: 8/20
Statement of Opinion:
- I find it intriguing when legislation is so specific to individuals.
- There is not much broader impact, but it is an interesting case study for students.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 7 | 7 |
| Year 3 | 7 | 7 |
| Year 5 | 7 | 7 |
| Year 10 | 7 | 7 |
| Year 20 | 7 | 7 |
social worker (Chicago, IL)
Age: 29 | Gender: female
Wellbeing Before Policy: 5
Duration of Impact: 0.0 years
Commonness: 12/20
Statement of Opinion:
- While I believe individual relief is good, broad-based reform should be prioritized.
- This policy won't change my day-to-day work but highlights the need for such cases.
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 | 4 | 5 |
| Year 20 | 4 | 4 |
tax advisor (New York, NY)
Age: 43 | Gender: male
Wellbeing Before Policy: 8
Duration of Impact: 0.0 years
Commonness: 15/20
Statement of Opinion:
- There is no tax implication for the wider population here.
- I see no direct impact on my clients or my practice.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 8 |
| Year 2 | 8 | 8 |
| Year 3 | 8 | 8 |
| Year 5 | 8 | 8 |
| Year 10 | 8 | 8 |
| Year 20 | 8 | 8 |
activist (Austin, TX)
Age: 24 | Gender: other
Wellbeing Before Policy: 6
Duration of Impact: 0.0 years
Commonness: 8/20
Statement of Opinion:
- I support individual relief, but it should not prioritize over wide-spread needs.
- Such legislation is important on humanitarian grounds.
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 | 6 | 6 |
| Year 20 | 6 | 6 |
freelance writer (Portland, OR)
Age: 38 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 0.0 years
Commonness: 14/20
Statement of Opinion:
- This is a human interest story rather than legislative change for mass impact.
- There's a broader issue of equity, but it doesn't affect my life directly.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 7 | 7 |
| Year 3 | 7 | 7 |
| Year 5 | 7 | 7 |
| Year 10 | 7 | 7 |
| Year 20 | 7 | 7 |
retired government worker (Phoenix, AZ)
Age: 55 | Gender: male
Wellbeing Before Policy: 7
Duration of Impact: 0.0 years
Commonness: 13/20
Statement of Opinion:
- In my experience, these cases are rare and impact is highly localized.
- Won't affect the economy or my wellbeing in retirement years.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 7 | 7 |
| Year 3 | 7 | 7 |
| Year 5 | 7 | 7 |
| Year 10 | 7 | 7 |
| Year 20 | 7 | 7 |
small business owner (Atlanta, GA)
Age: 60 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 0.0 years
Commonness: 16/20
Statement of Opinion:
- I doubt many people even heard of such legislation unless it was in their community.
- It doesn't really change my business outlook or personal life.
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 | 6 | 6 |
| Year 20 | 6 | 6 |
software engineer (Seattle, WA)
Age: 46 | Gender: male
Wellbeing Before Policy: 8
Duration of Impact: 0.0 years
Commonness: 9/20
Statement of Opinion:
- I have read about these specific relief cases, but professionally or personally I'm unaffected.
- It's a reminder of individual stories, though.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 8 |
| Year 2 | 8 | 8 |
| Year 3 | 8 | 8 |
| Year 5 | 8 | 8 |
| Year 10 | 8 | 8 |
| Year 20 | 8 | 8 |
data analyst (Houston, TX)
Age: 31 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 0.0 years
Commonness: 18/20
Statement of Opinion:
- Statistically, this policy doesn't bring large changes to any dataset I handle.
- It's more of an empathy-driven action than a wellbeing-changing policy.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 7 | 7 |
| Year 3 | 7 | 7 |
| Year 5 | 7 | 7 |
| Year 10 | 7 | 7 |
| Year 20 | 7 | 7 |
Cost Estimates
Year 1: $20000 (Low: $10000, High: $50000)
Year 2: $0 (Low: $0, High: $0)
Year 3: $0 (Low: $0, High: $0)
Year 5: $0 (Low: $0, High: $0)
Year 10: $0 (Low: $0, High: $0)
Year 100: $0 (Low: $0, High: $0)
Key Considerations
- Only the named individuals are affected, limiting broad fiscal implications.
- Potential costs are associated with administrative processing rather than systematic economic impact.