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.
We do not have any donor information for the donor Linchuan Zhang in our system.
Cause area | Count | Median | Mean | Minimum | 10th percentile | 20th percentile | 30th percentile | 40th percentile | 50th percentile | 60th percentile | 70th percentile | 80th percentile | 90th percentile | Maximum |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Overall | 2 | 2,000 | 6,234 | 2,000 | 2,000 | 2,000 | 2,000 | 2,000 | 2,000 | 10,467 | 10,467 | 10,467 | 10,467 | 10,467 |
2 | 2,000 | 6,234 | 2,000 | 2,000 | 2,000 | 2,000 | 2,000 | 2,000 | 10,467 | 10,467 | 10,467 | 10,467 | 10,467 |
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 | 2019 | 2018 |
---|---|---|---|---|---|
(filter this donor) | 2 | 1 | 12,467.26 | 10,467.26 | 2,000.00 |
Total | 2 | 1 | 12,467.26 | 10,467.26 | 2,000.00 |
Graph of spending by cause area and year (incremental, not cumulative)
Graph of spending by cause area and year (cumulative)
Sorry, we couldn't find any subcause area information.
Donee | Cause area | Metadata | Total | 2019 | 2018 |
---|---|---|---|---|---|
Donor lottery (filter this donor) | 12,467.26 | 10,467.26 | 2,000.00 | ||
Total | -- | -- | 12,467.26 | 10,467.26 | 2,000.00 |
Graph of spending by donee and year (incremental, not cumulative)
Graph of spending by donee and year (cumulative)
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 | Affected influencers | Document scope | Cause area | Notes |
---|---|---|---|---|---|---|---|---|---|
Some unfun lessons I learned as a junior grantmaker (GW, IR) | 2022-05-23 | Linchuan Zhang | Effective Altruism Forum | Effective Altruism Funds: Long-Term Future Fund | Miscellaneous commentary | Longtermism | This post, written by a "part-time grantmaker since January 15th or so, first (and currently) as a guest manager on the Long-Term Future Fund" includes a bunch of "useful but not fun lessons" learned from his grantmaking experience. The important lessons: "(1) (Refresher) The top grants are much much better than the marginal grants, even ex ante. (2) All of the grantmakers are extremely busy (3) Most (within-scope) projects are usually rejected for personal factors or person-project fit reasons (4) Some of your most impactful work in grantmaking won’t look like evaluating grants (5) Most grantmakers don’t (and shouldn’t) spend a lot of time on evaluating any given grant. (6) It’s rarely worth your time to give detailed feedback" |
Graph of top 10 donees (for donations with known year of donation) by amount, showing the timeframe of donations
Donee | Amount (current USD) | Amount rank (out of 2) | Donation date | Cause area | URL | Influencer | Notes |
---|---|---|---|---|---|---|---|
Donor lottery | 10,467.26 | 1 | -- | https://app.effectivealtruism.org/lotteries/63715163508813 | -- | January 2019 $500k lottery, Block 1, [348,426,514,071–371,444,262,231]. See https://app.effectivealtruism.org/lotteries for general background; see https://forum.effectivealtruism.org/posts/nuzcbhk2JYMkALHke/donor-lottery-2018-is-live (GW, IR) for the blog post announcing this lottery. | |
Donor lottery | 2,000.00 | 2 | -- | https://app.effectivealtruism.org/lotteries/63715163508813 | -- | January 2019 $500k lottery, Block 1, [39,784,364,262–44,182,410,772]. See https://app.effectivealtruism.org/lotteries for general background; see https://forum.effectivealtruism.org/posts/nuzcbhk2JYMkALHke/donor-lottery-2018-is-live (GW, IR) for the blog post announcing this lottery. |
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