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 December 2019. See the about page for more details.
We do not have any donor information for the donor Kevin Watkinson in our system.
If you hover over a cell for a given cause area and year, you will get a tooltip with the number of donees and the number of donations.
Note: Cause area classification used here may not match that used by donor for all cases.
| Cause area | Number of donations | Number of donees | Total | 2017 |
|---|---|---|---|---|
| (filter this donor) | 1 | 1 | 19.44 | 19.44 |
| Total | 1 | 1 | 19.44 | 19.44 |
Skipping spending graph as there is fewer than one year’s worth of donations.
Sorry, we couldn't find any subcause area information.
| Donee | Cause area | Metadata | Total | 2017 |
|---|---|---|---|---|
| Donor lottery (filter this donor) | 19.44 | 19.44 | ||
| Total | -- | -- | 19.44 | 19.44 |
Skipping spending graph as there is fewer than one year’s worth of donations.
Sorry, we couldn't find any influencer information.
Sorry, we couldn't find any disclosures information.
Sorry, we couldn't find any country information.
| Title (URL linked) | Publication date | Author | Publisher | Affected donors | Affected donees | Document scope | Cause area | Notes |
|---|---|---|---|---|---|---|---|---|
| Should EAs think twice before donating to GFI? | 2017-08-31 | Kevin Watkinson | Effective Altruism Forum | Open Philanthropy Project | The Good Food Institute | Third-party case against donation | Animal welfare | The post argues against donations to The Good Food Institute, noting its limited track record as well as the huge amount of funding it is already receiving from the Open Philanthropy Project. This post is made shortly after an exchange between the post author (Kevin Watkinson) and Holden Karnofsky of the Open Philanthropy Project in http://www.openphilanthropy.org/blog/march-2017-open-thread?page=1#comment-305 (the open thread of the Open Philanthropy Project). The post also critiques Animal Charity Evaluators (ACE) for a positive assessment of GFI, and comments include a response from an ACE employee and an ACE board member (neither in an official capacity) |
| Donee | Amount (current USD) | Donation date | Cause area | URL | Influencer | Notes |
|---|---|---|---|---|---|---|
| Donor lottery | 19.44 | -- | https://app.effectivealtruism.org/lotteries/31553453298138 | -- | Block 1, [135,160,765,379–135,374,500,301]. See https://app.effectivealtruism.org/lotteries for general background; see http://effective-altruism.com/ea/1ip/announcing_the_2017_donor_lottery/ for the blog post announcing this lottery. |
The following table uses the Jaccard index and cosine similarity to compare the similarity of donors. We are showing the top 30 donors by the Jaccard index because we show up to 30 donors and show only donors with at least one donee in common.
| Donor | Number of distinct donees | Number of donees in common (intersection) | Union size | Jaccard similarity | Cosine similarity | Weighted cosine similarity |
|---|---|---|---|---|---|---|
| Nicole Ross | 1 | 1 | 1 | 1 | 1 | 1 |
| Howie Lempel | 1 | 1 | 1 | 1 | 1 | 1 |
| Ian David Moss | 1 | 1 | 1 | 1 | 1 | 1 |
| Julio Banfi | 1 | 1 | 1 | 1 | 1 | 1 |
| Laurel Kilgour | 1 | 1 | 1 | 1 | 1 | 1 |
| Lincoln Quirk | 1 | 1 | 1 | 1 | 1 | 1 |
| Markus Anderljung | 1 | 1 | 1 | 1 | 1 | 1 |
| Michael Plant | 1 | 1 | 1 | 1 | 1 | 1 |
| Michael Schmatz | 1 | 1 | 1 | 1 | 1 | 1 |
| Jan Kleňha | 1 | 1 | 1 | 1 | 1 | 1 |
| Owen Shen | 1 | 1 | 1 | 1 | 1 | 1 |
| Rohin Shah | 1 | 1 | 1 | 1 | 1 | 1 |
| Sam Deere | 1 | 1 | 1 | 1 | 1 | 1 |
| Sören Mindermann | 1 | 1 | 1 | 1 | 1 | 1 |
| Stephen Endres | 1 | 1 | 1 | 1 | 1 | 1 |
| Timothy Telleen-Lawton | 1 | 1 | 1 | 1 | 1 | 1 |
| Tyler Lahti | 1 | 1 | 1 | 1 | 1 | 1 |
| Catherine Olsson | 1 | 1 | 1 | 1 | 1 | 1 |
| Aaron Tucker | 1 | 1 | 1 | 1 | 1 | 1 |
| Adam Gleave | 1 | 1 | 1 | 1 | 1 | 1 |
| Benefactor | 1 | 1 | 1 | 1 | 1 | 1 |
| Brayden McLean | 1 | 1 | 1 | 1 | 1 | 1 |
| Christopher Bangs | 1 | 1 | 1 | 1 | 1 | 1 |
| Daniel Kane | 1 | 1 | 1 | 1 | 1 | 1 |
| Eric Herboso | 1 | 1 | 1 | 1 | 1 | 1 |
| George McGowan | 1 | 1 | 1 | 1 | 1 | 1 |
| Gregory Lewis | 1 | 1 | 1 | 1 | 1 | 1 |
| Glenn Willen | 1 | 1 | 1 | 1 | 1 | 1 |
| Erick Ball | 1 | 1 | 1 | 1 | 1 | 1 |
| Helen Toner | 2 | 1 | 2 | 0.5 | 0.7071 | 1 |