WildAid donations received

This is an online portal with information on donations that were announced publicly (or have been shared with permission) that were of interest to Vipul Naik. The git repository with the code for this portal, as well as all the underlying data, is available on GitHub. All payment amounts are in current United States dollars (USD). The repository of donations is being seeded with an initial collation by Issa Rice as well as continued contributions from him (see his commits and the contract work page listing all financially compensated contributions to the site) but all responsibility for errors and inaccuracies belongs to Vipul Naik. Current data is preliminary and has not been completely vetted and normalized; if sharing a link to this site or any page on this site, please include the caveat that the data is preliminary (if you want to share without including caveats, please check with Vipul Naik). We expect to have completed the first round of development by the end of July 2024. See the about page for more details. Also of interest: pageview data on analytics.vipulnaik.com, tutorial in README, request for feedback to EA Forum.

Table of contents

Basic donee information

ItemValue
Country
Facebook page wildaid
Websitehttp://wildaid.org/
Twitter usernameWildAid
Wikipedia pagehttps://en.wikipedia.org/wiki/WildAid
Instagram usernamewildaid

Donee donation statistics

Cause areaCountMedianMeanMinimum10th percentile 20th percentile 30th percentile 40th percentile 50th percentile 60th percentile 70th percentile 80th percentile 90th percentile Maximum
Overall 5 500,000 490,000 350,000 350,000 350,000 400,000 400,000 500,000 500,000 500,000 500,000 700,000 700,000
FIXME 2 350,000 375,000 350,000 350,000 350,000 350,000 350,000 350,000 400,000 400,000 400,000 400,000 400,000
Animal welfare 3 500,000 566,667 500,000 500,000 500,000 500,000 500,000 500,000 500,000 700,000 700,000 700,000 700,000

Donation amounts by donor and year for donee WildAid

Donor Total 2019 2018 2016 2015 2014
Open Philanthropy (filter this donee) 1,700,000.00 500,000.00 500,000.00 700,000.00 0.00 0.00
MacArthur Foundation (filter this donee) 750,000.00 0.00 0.00 0.00 400,000.00 350,000.00
Total 2,450,000.00 500,000.00 500,000.00 700,000.00 400,000.00 350,000.00

Full list of documents in reverse chronological order (2 documents)

Title (URL linked)Publication dateAuthorPublisherAffected donorsAffected doneesAffected influencersDocument scopeCause areaNotes
Grants to Support Farm Animal Welfare Work in China2017-08-09Lewis Bollard Open PhilanthropyOpen Philanthropy Compassion in World Farming WildAid World Animal Protection Royal Society for the Prevention of Cruelty to Animals Humane Slaughter Association Jeanne Marchig Centre Animal Welfare Standards Project Green Monday Griffith University Brighter Green Broad donor strategyAnimal welfare/factory farming/ChinaThe document describes the strategy of the Open Philanthropy Project to focus on farm animal welfare advocacy in China, and lists ten grants that are part of this strategy. It is announced 2017-08-09 at https://groups.google.com/a/openphilanthropy.org/forum/#!topic/newly.published/ngrjni1iKLg on the mailing list; this comes 9.5 months after the strategy was unofficially announced by Lewis Bollard at https://www.facebook.com/groups/EffectiveAnimalActivism/permalink/656583861179155/ (2016-10-25) on Facebook.
The Open Philanthropy Project just announced our latest grant to WildAid in China2016-10-25Lewis Bollard Open PhilanthropyOpen Philanthropy Green Monday World Animal Protection Brighter Green WildAid Broad donor strategyAnimal welfare/factory farming/ChinaAnnouncement of strategy on Facebook; official document https://www.openphilanthropy.org/focus/us-policy/farm-animal-welfare/grants-support-farm-animal-welfare-work-china announced at https://groups.google.com/a/openphilanthropy.org/forum/#!topic/newly.published/ngrjni1iKLg (2017-08-09).

Full list of donations in reverse chronological order (5 donations)

Graph of top 10 donors (for donations with known year of donation) by amount, showing the timeframe of donations

Graph of donations and their timeframes
DonorAmount (current USD)Amount rank (out of 5)Donation dateCause areaURLInfluencerNotes
Open Philanthropy500,000.0022019-02Animal welfare/diet changehttps://www.openphilanthropy.org/focus/us-policy/farm-animal-welfare/wildaid-reducing-meat-consumption-in-asia-2019Lewis Bollard Intended use of funds (category): Direct project expenses

Intended use of funds: Grant "to support campaigns to promote the reduction of meat consumption in Asia. WildAid plans to use these funds to produce another public service announcement campaign featuring celebrities in television advertisements and on billboards promoted in Beijing, Shanghai, and other major Asian cities, including Hong Kong and others."

Other notes: Affected countries: China|Hong Kong.
Open Philanthropy500,000.0022018-03Animal welfare/diet changehttps://www.openphilanthropy.org/focus/us-policy/farm-animal-welfare/wildaid-reducing-meat-consumption-china-2018Lewis Bollard Intended use of funds (category): Direct project expenses

Intended use of funds: Grant "to support [WildAid's] campaign to reduce meat consumption in the Asia-Pacific region. We [Open Philanthropy] expect WildAid will use the funds to produce public service announcement campaigns featuring celebrities in television advertisements and on billboards in Beijing, Shanghai, and other major Asian cities, including Hong Kong and others."

Donor reason for selecting the donee: Part of a China focus strategy announced by Lewis Bollard at https://www.facebook.com/groups/EffectiveAnimalActivism/permalink/656583861179155/ (2016-10-25) and explained in depth in a document https://www.openphilanthropy.org/focus/us-policy/farm-animal-welfare/grants-support-farm-animal-welfare-work-china announced at https://groups.google.com/a/openphilanthropy.org/forum/#!topic/newly.published/ngrjni1iKLg (2017-08-09).

Donor retrospective of the donation: The followup grant https://www.openphilanthropy.org/focus/us-policy/farm-animal-welfare/wildaid-reducing-meat-consumption-in-asia-2019 (2019-02) suggests continued satisfaction with the grantee.

Other notes: Affected countries: China|Hong Kong; announced: 2018-03-23.
Open Philanthropy700,000.0012016-09Animal welfare/diet changehttps://www.openphilanthropy.org/focus/us-policy/farm-animal-welfare/wildaid-reducing-meat-consumption-chinaLewis Bollard Intended use of funds (category): Direct project expenses

Intended use of funds: Grant "to support [WildAid's] campaign to support government efforts to reduce meat consumption in China. WildAid plans to expand its public service announcement (PSA) campaigns aimed at slowing the growth of meat consumption to four new major Chinese cities."

Donor reason for selecting the donee: Part of a China focus strategy announced by Lewis Bollard at https://www.facebook.com/groups/EffectiveAnimalActivism/permalink/656583861179155/ (2016-10-25) and explained in depth in a document https://www.openphilanthropy.org/focus/us-policy/farm-animal-welfare/grants-support-farm-animal-welfare-work-china announced at https://groups.google.com/a/openphilanthropy.org/forum/#!topic/newly.published/ngrjni1iKLg (2017-08-09).

Donor retrospective of the donation: The followup grant https://www.openphilanthropy.org/focus/us-policy/farm-animal-welfare/wildaid-reducing-meat-consumption-china-2018 (2018-03) references this grant and suggests continued satisfaction with the grantee.

Other notes: Affected countries: China; announced: 2016-10-25.
MacArthur Foundation400,000.0042015FIXMEhttps://www.macfound.org/grants/-- supporting communities in eastern Indonesia through a transition from Manta ray hunting and other unsustainable fisheries practices towards more sustainable livelihoods. Affected countries: United States; affected states: California; affected cities: San Francisco.
MacArthur Foundation350,000.0052014FIXMEhttps://www.macfound.org/grants/-- In support of efforts to sustain and strengthen marine conservation agreements in Raja Ampat, Indonesia (over three years). Affected countries: United States; affected states: California; affected cities: San Francisco.