Haseeb Qureshi donations made (filtered to cause areas matching Global health)

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

ItemValue
Country United States
Facebook username someguynamedhaseeb
LinkedIn username imhaseeb
Websitehttp://haseebq.com/
Twitter usernamehosseeb
Effective Altruism Hub usernamehaseeb-qureshi
GitHub usernameHaseeb-Qureshi
Data entry method on Donations List WebsiteManual (no scripts used)

Donor donation statistics

Cause areaCountMedianMeanMinimum10th percentile 20th percentile 30th percentile 40th percentile 50th percentile 60th percentile 70th percentile 80th percentile 90th percentile Maximum
Overall 4 11,340 15,830 5,300 5,300 5,300 11,340 11,340 11,340 12,650 12,650 34,030 34,030 34,030
Global health 4 11,340 15,830 5,300 5,300 5,300 11,340 11,340 11,340 12,650 12,650 34,030 34,030 34,030

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 2016 2015
Global health (filter this donor) 4 2 63,320.00 45,370.00 12,650.00 5,300.00
Total 4 2 63,320.00 45,370.00 12,650.00 5,300.00

Graph of spending by cause area and year (incremental, not cumulative)

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Graph of spending by cause area and year (cumulative)

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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 2016 2015
Global health/malaria 4 2 63,320.00 45,370.00 12,650.00 5,300.00
Classified total 4 2 63,320.00 45,370.00 12,650.00 5,300.00
Unclassified total 0 0 0.00 0.00 0.00 0.00
Total 4 2 63,320.00 45,370.00 12,650.00 5,300.00

Graph of spending by subcause area and year (incremental, not cumulative)

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Graph of spending by subcause area and year (cumulative)

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Donation amounts by donee and year

Donee Cause area Metadata Total 2017 2016 2015
Alex Flint AI safety fund (filter this donor) 34,030.00 34,030.00 0.00 0.00
Against Malaria Foundation (filter this donor) Global health/malaria FB Tw WP Site GW CN GS TW 29,290.00 11,340.00 12,650.00 5,300.00
Total -- -- 63,320.00 45,370.00 12,650.00 5,300.00

Graph of spending by donee and year (incremental, not cumulative)

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Graph of spending by donee and year (cumulative)

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Donation amounts by influencer and year

If you hover over a cell for a given influencer 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.

Influencer Number of donations Number of donees Total 2017 2016 2015
GiveWell 3 1 29,290.00 11,340.00 12,650.00 5,300.00
Classified total 3 1 29,290.00 11,340.00 12,650.00 5,300.00
Unclassified total 1 1 34,030.00 34,030.00 0.00 0.00
Total 4 2 63,320.00 45,370.00 12,650.00 5,300.00

Graph of spending by influencer and year (incremental, not cumulative)

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Graph of spending by influencer and year (cumulative)

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Donation amounts by disclosures and year

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Donation amounts by country and year

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Full list of donations in reverse chronological order (4 donations)

Graph of top 10 donees by amount, showing the timeframe of donations

Graph of donations and their timeframes
DoneeAmount (current USD)Amount rank (out of 4)Donation dateCause areaURLInfluencerNotes
Against Malaria Foundation11,340.0032017Global health/malariahttps://medium.freecodecamp.org/yearly-donations-and-why-you-should-give-now-not-later-cba890cabfbeGiveWell Donation process: The announcement post says that the donor is donating 33% of his pre-tax income, as usual. This money is being allocated between different charities, based on the donor's assessment

Intended use of funds (category): Organizational general support

Intended use of funds: The announcement post says: "The Against Malaria Foundation is a non-profit that funds and distributes anti-malarial bednets in malaria-ravaged countries, primarily in Africa and Asia."

Donor reason for selecting the donee: The annoucement post calls the donee "the same organization I donate to every year, and the #1 top ranked charity on Givewell for multiple years." It also says: "A single bednet can be funded and distributed for ~$4, making them perhaps the most cost-effective life-saving intervention in the world."

Donor reason for donating that amount (rather than a bigger or smaller amount): The total amount the donor is giving awaay is $45,370, which is 33% of pre-tax income. The allocation of 25% to AMF is the same as the previous two years
Percentage of total donor spend in the corresponding batch of donations: 25.00%

Donor reason for donating at this time (rather than earlier or later): End-of-year round of donations of 33% of income in the year; this is part of the donor's earning-to-give strategy

Other notes: Announced: 2017-12-31.
Alex Flint AI safety fund34,030.0012017Global health/malariahttps://medium.freecodecamp.org/yearly-donations-and-why-you-should-give-now-not-later-cba890cabfbe-- Donation process: The announcement post says that the donor is donating 33% of his pre-tax income, as usual. This money is being allocated between different charities, based on the donor's assessment

Intended use of funds (category): Regranting

Intended use of funds: The announcement post says: "The remaining 75% of my donations this year, $34,030, I’m donating to a donor-advised fund to be donated to a promising AI safety charity."

Donor reason for selecting the donee: The annoucement post says: " The fund is managed by my good friend Alex Flint, a computer vision PhD from Oxford who’s very well-versed in AI risk (if you’d likewise want to donate to this fund, I can put you in touch with him). For those who are unfamiliar with AI safety, you might have heard folks Elon Musk, Stephen Hawking, and Sam Harris making pronouncements about the dangers of uncontrolled artificial general intelligence. AI is advancing rapidly, and it’s likely to grow and control more of the infrastructure of the world far faster than we can develop our understanding of how to make it safe. So far the world has invested an remarkably small amounts into thinking about how to make AIs more safe, and I think this will be an increasingly important problem as AI research advances."

Donor reason for donating that amount (rather than a bigger or smaller amount): The total amount the donor is giving awaay is $45,370, which is 33% of pre-tax income. The allocation to the AI safety fund is what is left after taking out the 25% to Against Malaria Foundation (granting 25% to the Against Malaria Foundation has been an yearly fixture of Qureshi's donations)
Percentage of total donor spend in the corresponding batch of donations: 75.00%

Donor reason for donating at this time (rather than earlier or later): End-of-year round of donations of 33% of income in the year; this is part of the donor's earning-to-give strategy

Other notes: Announced: 2017-12-31.
Against Malaria Foundation12,650.0022016Global health/malariahttps://haseebq.com/2016-donations-and-some-thoughts/GiveWell Donation process: The announcement post says: "In 2016, my donations totaled $50,600. My finances this year were little more complicated, but that was my best estimate of 33% of my pre-tax income. (That income does not include RSUs; whenever I can liquidate them, I will also donate 33% of their value.) Below are the organizations I donated to and why."

Intended use of funds (category): Organizational general support

Intended use of funds: The announcement post says: "The Against Malaria Foundation distributes low-cost anti-mosquito bednets in parts of Africa that are ravaged by malaria."

Donor reason for selecting the donee: The announcement post says: "AMF has been repeatedly ranked by Givewell as the dollar-for-dollar most impactful charity in the world. It’s important to make speculative and high-risk altruistic investments. But there is some straightforward value in just rewarding and spreading the word about organizations that rock at saving lives (and in the worst case, to have no doubt that one’s donations are having real positive impact). I also donated to them in 2015, and good chance I’ll donate again in 2017."

Donor reason for donating that amount (rather than a bigger or smaller amount): The total amount the donor is giving away is $50,600, which is 33% of pre-tax income. The allocation of 25% to Against Malaria Foundation is likely determined by the needs of other recipients; it is also the same percentage as allocated in 2015
Percentage of total donor spend in the corresponding batch of donations: 25.00%

Donor reason for donating at this time (rather than earlier or later): End-of-year round of donations of 33% of income in the year; this is part of the donor's earning-to-give strategy

Donor thoughts on making further donations to the donee: The announcement post says: "good chance I’ll donate again in 2017"

Donor retrospective of the donation: The donor would make a similar donation to Against Malaria Foundation in 2017 https://medium.freecodecamp.org/yearly-donations-and-why-you-should-give-now-not-later-cba890cabfbe

Other notes: Announced: 2017-01-29.
Against Malaria Foundation5,300.0042015Global health/malariahttps://haseebq.com/my-first-year-earning-to-give-a-retrospective/GiveWell Donation process: The announcement post says: "In all I gave 33% of my pre-tax income, which since I started my job in June, amounts to $21,200 USD I donated to high-impact charities." The allocation of this $21,200 is based on analysis of the individual target charities

Intended use of funds (category): Organizational general support

Intended use of funds: The donee "distributes low-cost anti-mosquito bednets in parts of Africa that are ravaged by malaria"

Donor reason for selecting the donee: The announcement post says of the donee: "AMF is ranked by Givewell as the most marginally impactful charity in the world."

Donor reason for donating that amount (rather than a bigger or smaller amount): The announcement post says: "In all I gave 33% of my pre-tax income, which since I started my job in June, amounts to $21,200 USD I donated to high-impact charities." AMF gets 25% of this money; the amount it gets is likely constrained by the needs of other recipients
Percentage of total donor spend in the corresponding batch of donations: 25.00%

Donor reason for donating at this time (rather than earlier or later): End-of-year round of donations of 33% of income in the year; this is part of the donor's earning-to-give strategy

Donor retrospective of the donation: The donor would continue to donate to Against Malaria Foundation for the next two years; see https://haseebq.com/2016-donations-and-some-thoughts/ and https://medium.freecodecamp.org/yearly-donations-and-why-you-should-give-now-not-later-cba890cabfbe but would stop donating to it in 2018

Other notes: Announced: 2015-12-31.

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 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
adam baker 1 1 1 1.0000 1 1
Ajeya Cotra 1 1 1 1.0000 1
Akhil Jalan 1 1 1 1.0000 1 1
Alexandra Rastad 1 1 1 1.0000 1 1
Amelia Allis 1 1 1 1.0000 1 1
Anders Kuvaas Herting 1 1 1 1.0000 1 1
Andrew Simpson 1 1 1 1.0000 1 1
Arvind Raghavan 1 1 1 1.0000 1 1
Aubry Dugan 1 1 1 1.0000 1 1
Ben Medlock 1 1 1 1.0000 1 1
ben rhodes 1 1 1 1.0000 1 1
Benjamin Robinson 1 1 1 1.0000 1 1
Bradley Tjandra 1 1 1 1.0000 1 1
Brenton Mayer 1 1 1 1.0000 1 1
Calum McClelland 1 1 1 1.0000 1 1
Christopher Bryant 1 1 1 1.0000 1 1
Christopher O'Bleness 1 1 1 1.0000 1 1
Cole Gleason 1 1 1 1.0000 1 1
Dan Munro 1 1 1 1.0000 1 1
Denis Drescher 1 1 1 1.0000 1 1
Edward Martin 1 1 1 1.0000 1 1
Effective Altruism Funds 1 1 1 1.0000 1 1
Eli Nathan 1 1 1 1.0000 1 1
Elizabeth Santorella 1 1 1 1.0000 1 1
Gwern Branwen 1 1 1 1.0000 1
Harley Monk 1 1 1 1.0000 1 1
Harri Besceli 1 1 1 1.0000 1 1
Harry Greenwell 1 1 1 1.0000 1 1
Holden Karnofsky 1 1 1 1.0000 1
Huw Thomas 1 1 1 1.0000 1 1