Oxford Prioritisation Project donations made (filtered to cause areas matching Effective altruism)

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.

Table of contents

Basic donor information

We do not have any donor information for the donor Oxford Prioritisation Project in our system.

Donor donation statistics

Cause areaCountMedianMeanMinimum10th percentile 20th percentile 30th percentile 40th percentile 50th percentile 60th percentile 70th percentile 80th percentile 90th percentile Maximum
Overall 1 12,934 12,934 12,934 12,934 12,934 12,934 12,934 12,934 12,934 12,934 12,934 12,934 12,934
Effective altruism 1 12,934 12,934 12,934 12,934 12,934 12,934 12,934 12,934 12,934 12,934 12,934 12,934 12,934

Donation amounts by cause area and year

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
Effective altruism (filter this donor) 1 1 12,934.00 12,934.00
Total 1 1 12,934.00 12,934.00

Skipping spending graph as there is fewer than one year’s worth of donations.

Donation amounts by subcause area and year

If you hover over a cell for a given subcause area and year, you will get a tooltip with the number of donees and the number of donations.

For the meaning of “classified” and “unclassified”, see the page clarifying this.

Subcause area Number of donations Number of donees Total 2017
Effective altruism/movement growth 1 1 12,934.00 12,934.00
Classified total 1 1 12,934.00 12,934.00
Unclassified total 0 0 0.00 0.00
Total 1 1 12,934.00 12,934.00

Skipping spending graph as there is fewer than one year’s worth of donations.

Donation amounts by donee and year

Donee Cause area Metadata Total 2017
80,000 Hours (filter this donor) Career coaching/life guidance FB Tw WP Site 12,934.00 12,934.00
Total -- -- 12,934.00 12,934.00

Skipping spending graph as there is fewer than one year’s worth of donations.

Donation amounts by influencer and year

Sorry, we couldn't find any influencer information.

Donation amounts by disclosures and year

Sorry, we couldn't find any disclosures information.

Donation amounts by country and year

Sorry, we couldn't find any country information.

Full list of documents in reverse chronological order (3 documents)

Title (URL linked)Publication dateAuthorPublisherAffected donorsAffected doneesDocument scopeCause areaNotes
Four quantiative models, aggregation, and final decision2017-05-20Tom Sittler Oxford Prioritisation ProjectOxford Prioritisation Project 80,000 Hours Animal Charity Evaluators Machine Intelligence Research Institute StrongMinds Single donation documentationEffective altruism/career adviceThe post describes how the Oxford Prioritisation Project compared its four finalists (80000 Hours, Animal Charity Evaluators, Machine Intelligence Research Institute, and StrongMinds) by building quantitative models for each, including modeling of uncertainties. Based on these quantitative models, 80000 Hours was chosen as the winner. Also posted to http://effective-altruism.com/ea/1ah/four_quantiative_models_aggregation_and_final/ for comments
A model of 80,000 Hours2017-05-14Sindy Li Oxford Prioritisation ProjectOxford Prioritisation Project 80,000 Hours Evaluator review of doneeEffective altruism/movement growthThe post supplements a model built in Guesstimate to estimate the impact of 80000 Hours. The model is a Monte Carlo model. Also posted to http://effective-altruism.com/ea/1a1/a_model_of_80000_hours_oxford_prioritisation/ for comments
Should we make a grant to a meta-charity?2017-03-11Daniel May Oxford Prioritisation ProjectOxford Prioritisation Project Giving What We Can 80,000 Hours Raising for Effective Giving Review of current state of cause areaEffective altruism/movement growth/fundraisingThe summary says: "I introduce the concept of meta-charity, discuss some considerations for OxPrio, and look into how meta-charities evaluate their impact, and the reliability of these figures for our purposes (finding the most cost-effective organisation to donate £10,000 today). I then look into the room for more funding for a few meta-charities, and finally conclude that these are worth seriously pursuing further." See http://effective-altruism.com/ea/189/daniel_may_should_we_make_a_grant_to_a/ for a cross-post that has comments

Full list of donations in reverse chronological order (1 donations)

DoneeAmount (current USD)Amount rank (out of 1)Donation dateCause areaURLInfluencerNotes
80,000 Hours12,934.0012017-05-09Effective altruism/movement growthhttps://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.

Similarity to other donors

The following table uses the Jaccard index and cosine similarity to compare the similarity of donors. We are showing the top 4 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
Haseeb Qureshi 3 1 3 0.3333 0.5774 0.7718
Open Philanthropy Project 4 1 4 0.2500 0.5 0.384
Peter Hurford 6 1 6 0.1667 0.4082 0.0034
EA Giving Group 7 1 7 0.1429 0.378