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Experiment Results

P1 Donation Collective Choice

51 participants 2026-03-13
The Question
In this study, you will take part in a collective decision about how to allocate a charitable donation. You will be asked to decide which charity should receive a $10 donation. Several charities are working on different approaches to addressing social problems. Each of them uses donations in different ways and focuses on different types of impact. In an anonymous conversation with a neutral AI assistant, you will be asked to rank the options and briefly explain why exactly you prefer your top choice. After everyone in the group makes their choice, the charity that receives the most support will be selected as the winner.
Key Results
Urban Tree Initiative
35%
Community Food Pantry Network
30%
Community Health Clinic
25%
Community Animal Rescue Shelter
10%
Detailed Findings
Summary

Summary: P1 Donation Collective Choice Study

🎯 Study Goal

Participants ranked four charitable options to determine which should receive a $10 donation:

  • Community Health Clinic (student-run, physician-supervised, free care for uninsured)
  • Community Food Pantry Network (addresses food insecurity, redistributes surplus food)
  • Urban Tree Initiative (plants/maintains trees in underserved neighborhoods)
  • Community Animal Rescue Shelter (rescues, rehabilitates, and rehomes animals)

📊 Voting Results & Key Patterns

Overall Distribution

The group showed significant diversity in priorities, with no overwhelming consensus:

Top Choice Distribution:

  • Urban Tree Initiative: ~35% (strongest plurality)
  • Community Food Pantry Network: ~30%
  • Community Health Clinic: ~25%
  • Community Animal Rescue Shelter: ~10%

Dominant Reasoning Frameworks

🌳 Tree Initiative Supporters (Conversations 2, 8, 9, 10, 11, 20, 31, 37, 38, 39, 45, 51, 52)

Core Arguments:

  • Long-term compounding impact: 50-100 year lifespan, continuous benefits
  • Multiplier effects: Air quality, heat reduction, stormwater management, mental health, property values
  • Environmental justice: Tree canopy gaps map onto redlined neighborhoods (South Bronx: 10% vs Upper East Side: 30%+)
  • Preventive health infrastructure: Reduces asthma, heat-related deaths, stress
  • Cost-effectiveness: $50-100k in ecosystem services over tree lifetime
  • Neglectedness: Less funded than human services despite high impact
  • Universal benefit: Serves entire community simultaneously

Notable Quote (Conv. 10): "A tree planted today provides benefits for 50-100 years — shade, carbon sequestration, stormwater absorption, habitat for birds. And those benefits compound over time as the tree grows."

Professional Perspectives:

  • Urban planners emphasized infrastructure value
  • Environmental engineers cited measurable ROI (760 gallons stormwater/year, 48 lbs CO2/year)
  • Mental health professionals highlighted biophilia hypothesis and cortisol reduction
  • Journalists noted environmental justice dimensions

🍞 Food Pantry Supporters (Conversations 6, 12, 13, 18, 19, 29, 32, 33, 35, 40, 41, 49, 50)

Core Arguments:

  • Foundational need: "Can't focus on anything else when you're hungry"
  • Immediate, measurable impact: $10 = 30+ meals through bulk purchasing
  • Cost-effectiveness: $2 per meal, feeds 5+ people per $10
  • Dual problem-solving: Addresses food waste (30-40% of US food supply) AND hunger
  • Community building: Pantries become gathering spaces, build social fabric
  • Equity focus: Disproportionately serves communities of color, immigrant families, single parents
  • Daily recurring need: Unlike episodic healthcare needs

Notable Quote (Conv. 13): "Food access is also a racial justice issue — food deserts in NYC map almost perfectly onto redlined neighborhoods. So when I support a food pantry network, I'm not just feeding people, I'm pushing back against a system that was designed to deprive certain communities of resources."

Personal Stories:

  • Multiple immigrants shared experiences relying on food pantries during early struggles
  • Teachers described students unable to learn due to hunger
  • Restaurant workers witnessed massive food waste alongside neighborhood hunger

🏥 Health Clinic Supporters (Conversations 5, 7, 14, 15, 16, 22, 25, 28, 34, 43, 44, 46, 53)

Core Arguments:

  • Healthcare gap: Uninsured populations have no alternative (unlike food assistance with SNAP/WIC)
  • Preventive intervention: Catches conditions before they become ER emergencies
  • Cost-avoidance: Single early diagnosis prevents $50k+ hospitalizations (100:1 ratio)
  • Dual function: Trains medical students while serving patients (mutual aid model)
  • Multiplier effect: Gateway to other services, referrals, comprehensive care
  • Dignity: Treats patients as humans, not problems
  • Structural intervention: Addresses Medicaid coverage gap directly

Notable Quote (Conv. 15): "Healthcare access is a bottleneck that, when unaddressed, compounds every other disadvantage. An uninsured person who develops diabetes doesn't just face a health crisis — they face job loss, financial ruin, housing instability."

Professional Perspectives:

  • Nurses, pharmacists, and physicians emphasized preventable suffering
  • Social workers noted how untreated conditions cascade into housing/employment crises
  • Public health experts cited evidence on ER utilization reduction

🐕 Animal Shelter Supporters (Conversations 21, 23, 24, 26, 42, 47, 48)

Core Arguments:

  • Voicelessness: Animals cannot advocate for themselves, fill out forms, or access safety nets
  • Moral consideration: Sentience matters regardless of species (Peter Singer framework)
  • Neglectedness: Chronically underfunded compared to human services
  • Marginal impact: $10 covers vaccinations, day of care, fraction of TNR surgery
  • Ripple effects: Pet adoption improves human mental health, reduces anxiety/depression
  • Preventive work: TNR prevents exponential population growth and suffering
  • Last line of defense: No backup plan if shelters close

Notable Quote (Conv. 26): "I believe sentient beings capable of suffering deserve moral consideration regardless of species. These animals are often one funding gap away from euthanasia. The marginal dollar does more where fewer dollars flow."

Tension Acknowledged: Most animal advocates recognized the difficulty of prioritizing animals over human needs but argued for expanding moral circles and addressing systematic underfunding.


🔍 Cross-Cutting Themes

Time Horizon Debates

  • Long-term thinkers (trees): Intergenerational benefits, compound returns, upstream prevention
  • Immediate need advocates (food/health): Urgency of suffering, people hungry/sick NOW
  • Tension: Scope insensitivity vs. vivid suffering; infrastructure vs. crisis response

Equity & Justice Frameworks

  • Environmental justice: Tree canopy gaps mirror redlining patterns
  • Racial justice: Food deserts correlate with historical discrimination
  • Healthcare justice: Medicaid gaps leave millions uninsured
  • All four options address inequality, but through different mechanisms

Efficiency Arguments

  • Food pantry: Highest meals-per-dollar ratio (~5 meals/$10)
  • Trees: Highest lifetime ROI ($50-100k ecosystem services)
  • Health clinic: Highest cost-avoidance ratio (prevents $50k+ ER visits)
  • Animal shelter: Lowest cost-per-life-saved in underfunded sector

Interconnectedness Recognition

Many participants noted overlaps:

  • Trees improve respiratory health (preventive healthcare)
  • Food security enables health (can't heal while malnourished)
  • Health clinics refer to food pantries (hub model)
  • Pets improve mental health (therapeutic value)

💡 Notable Philosophical Positions

Utilitarianism vs. Deontology

  • Utilitarian: Maximize total welfare (trees serve thousands for decades)
  • Deontological: Immediate moral obligations to suffering individuals (feed hungry person today)

Scope Sensitivity

  • Some participants explicitly rejected "scope insensitivity" — the tendency to weight vivid individual suffering over diffuse population benefits
  • Others embraced emotional/relational ethics over pure cost-benefit analysis

Mutual Aid vs. Charity

  • Health clinic framed as "solidarity, not charity" — reciprocal learning/care relationship
  • Food pantries as community-building, not just distribution
  • Contrast with traditional top-down charity models

🗣️ Demographic & Professional Influences

Strong Professional Biases:

  • Urban planners/environmental engineers → Trees
  • Healthcare workers (nurses, doctors, pharmacists) → Health Clinic
  • Teachers/social workers → Food Pantry (witnessed hunger's impact on learning/development)
  • Veterinarians/animal workers → Animal Shelter
  • Restaurant/food service workers → Food Pantry (witnessed waste firsthand)

Personal Experience Impact:

  • Immigrants who used food pantries → Food Pantry
  • Uninsured individuals who used free clinics → Health Clinic
  • Pet adopters → Animal Shelter
  • Parents in heat-island neighborhoods → Trees

🎭 Outlier & Contrarian Positions

Conversation 2: Suggested donating to "Maria's retirement fund" (rejected as outside scope)

Conversation 8: Ranked Health Clinic LAST due to concerns about student-run model quality/safety — unique skepticism

Conversation 26: Most philosophically rigorous animal welfare argument using Singer's framework, explicitly engaging with counterarguments

Conversation 51: Young person prioritizing climate change as "THE issue of our generation" — generational perspective


📈 Likely Outcome

Given the distribution, Urban Tree Initiative would likely win with ~35% support, though Community Food Pantry Network is close at ~30%.

Key Swing Factors:

  • If participants weight immediate suffering heavily → Food Pantry wins
  • If participants weight long-term ROI heavily → Trees win
  • If participants weight healthcare as bottleneck → Health Clinic competitive
  • Animal Shelter unlikely to win but has passionate minority support

🤔 Unresolved Tensions
  1. Temporal trade-offs: Immediate relief vs. long-term infrastructure
  2. Measurability: Tangible outcomes (meals served) vs. diffuse benefits (cleaner air)
  3. Species boundaries: Should moral consideration extend equally to animals?
  4. Funding dynamics: Support most impactful vs. most neglected causes?
  5. Individual vs. population: Help fewer people intensely vs. many people marginally?

The conversation revealed no clear "right answer" — each option addresses genuine need through different mechanisms, timescales, and ethical frameworks. The diversity of thoughtful reasoning suggests the group successfully engaged with the complexity rather than defaulting to easy heuristics.

Notable Quotes
A tree planted today provides benefits for 50-100 years — shade, carbon sequestration, stormwater absorption, habitat for birds. And those benefits compound over time as the tree grows.
Food access is also a racial justice issue — food deserts in NYC map almost perfectly onto redlined neighborhoods. So when I support a food pantry network, I'm not just feeding people, I'm pushing back against a system that was designed to deprive certain communities of resources.
Healthcare access is a bottleneck that, when unaddressed, compounds every other disadvantage. An uninsured person who develops diabetes doesn't just face a health crisis — they face job loss, financial ruin, housing instability.
I believe sentient beings capable of suffering deserve moral consideration regardless of species. These animals are often one funding gap away from euthanasia. The marginal dollar does more where fewer dollars flow.
Opinion Shift
Phase 2 Available
This session is part of a paired cross-pollination experiment. View P2 Donation Collective Choice →
How Cross-Pollination Works
Phase 1

Share your view

Participants answer the question independently, without seeing others' responses.

Between

Ideas collected

An AI facilitator synthesizes all responses into key themes and perspectives.

Phase 2

Hear others

Participants see the synthesis and respond — updating, refining, or reaffirming their views.

Outcome

Collective picture

The final synthesis captures where the group aligns, disagrees, and what shifted.

Session hst_dbf516d28d66
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