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EA 2019 Donation Data - Rethink Priorities
webCredibility Rating
4/5
High(4)High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: Rethink Priorities
This dataset is relevant for understanding how EA community members prioritized AI safety and other cause areas with their donations in 2019, offering a snapshot of community funding priorities before major AI developments of the early 2020s.
Metadata
Importance: 28/100dataset
Summary
This Rethink Priorities resource presents data on donation patterns from the 2019 Effective Altruism Survey, analyzing how EA community members allocate their charitable giving across cause areas. It provides quantitative insights into funding flows within the EA ecosystem, including breakdowns by cause area, donor demographics, and giving amounts.
Key Points
- •Analyzes donation behavior of EA community members surveyed in 2019, covering amounts donated and cause area allocations.
- •Reveals the distribution of giving across cause areas including AI safety, global health, animal welfare, and other EA priorities.
- •Provides demographic breakdowns of donors, helping identify which segments of the EA community give most and to what causes.
- •Offers longitudinal context by comparing 2019 data to prior EA survey donation trends.
- •Useful reference for understanding resource flows and community priorities within the effective altruism movement.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Earning to Give: The EA Strategy and Its Limits | -- | 63.0 |
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##### [Animal Welfare](https://rethinkpriorities.org/our-research-areas/animal-welfare/)
Identifying the most effective ways to reduce animal suffering, improve welfare standards, and influence positive change for trillions of animals worldwide.
[Learn more](https://rethinkpriorities.org/our-research-areas/animal-welfare/)
##### [Surveys and Data Analysis](https://rethinkpriorities.org/our-research-areas/survey-and-data-analysis/)
Conducting polls, experiments, and focus groups and analyzing data to help organizations and policymaker
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d01c1f4649194871 | Stable ID: MGVkMWY2MT