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 March 2022. 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 Oxford Prioritisation Project in our system.
Full donor page for donor Oxford Prioritisation Project
|Donors list page||https://80000hours.org/about/donors/|
|Transparency and financials page||https://80000hours.org/about/credibility/evaluations/|
|Donation case page||http://effective-altruism.com/ea/15d/why_donate_to_80000_hours/|
|Key people||William MacAskill|Benjamin Todd|Robert Wiblin|
Full donee page for donee 80,000 Hours
|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|
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||Total||2017|
|Effective altruism (filter this donor)||1||12,934.00||12,934.00|
Skipping spending graph as there is fewer than one year’s worth of donations.
|Amount (current USD)||Amount rank (out of 1)||Donation date||Cause area||URL||Influencer||Notes|
|12,934.00||1||Effective altruism/movement growth||https://oxpr.io/blog/2017/5/20/four-quantiative-models-aggregation-and-final-decision||--||Donation process: The donation is the outcome of the Oxford Prioritisation Project, a months-long group project that looks at a number of donation targets to find the best one. The donation amount of 10,000 GBP was pre-determined. 80,000 Hours is the ultimate winner and gets the entire amount
Intended use of funds (category): Organizational general support
Donor reason for selecting the donee: The selection of 80,000 Hours as the target for the donation is a result of a lengthy process of deliberation and comparison. The final stage of comparison includes four charities: 80,000 Hours, Machine Intelligence Research Institute, StrongMinds, and Animal Charity Evaluators. The final comparison is carried out though a quantitative analysis summarized at https://oxpr.io/blog/2017/5/20/expected-value-estimates-we-cautiously-took-literally The post describing the model for 80,000 Hours is at https://oxpr.io/blog/2017/5/13/a-model-of-80000-hours
Donor reason for donating that amount (rather than a bigger or smaller amount): Amount (of 10,0000 GBP) determined at the outset of the Oxford Prioritisation Project, as the donation amount that the project seeks to allocate
Donor reason for donating at this time (rather than earlier or later): Timing determined by the end of the time period for the Oxford Prioritisation Project
Donor retrospective of the donation: See https://forum.effectivealtruism.org/posts/JfDW9LfcMFGXhLxTC/a-model-of-80-000-hours-oxford-prioritisation-project (GW, IR) for a retrospective on the Oxford Prioritisation Project. 80,000 Hours is mentioned only once in the retrospective: "We would guess that the real costs of the £10,000 grant were low. At the outset, the probability was quite high that the money would eventually be granted to a high-impact organisation, with a cost-effectiveness not several times smaller than CEA’s counterfactual use of the money3. In fact, the grant was given to 80,000 Hours." Announced: 2017-05-09.