Jacob Steinhardt donations made

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.

Table of contents

Basic donor information

ItemValue
Country United States
Facebook username jacob.steinhardt
LinkedIn username jacob-steinhardt-a30437bb
Twitter usernamejacobsteinhardt
LessWrong usernamejsteinhardt
Effective Altruism Forum usernamejsteinhardt
GitHub usernamejsteinha
Data entry method on Donations List WebsiteManual (no scripts used)
Org Watch pagehttps://orgwatch.issarice.com/?person=Jacob+Steinhardt

This entity is also a donee.

Donor donation statistics

Cause areaCountMedianMeanMinimum10th percentile 20th percentile 30th percentile 40th percentile 50th percentile 60th percentile 70th percentile 80th percentile 90th percentile Maximum
Overall 13 2,500 3,617 450 500 500 500 1,800 2,500 4,000 5,400 6,300 7,650 11,225
Longtermism 2 450 5,838 450 450 450 450 450 450 11,225 11,225 11,225 11,225 11,225
Cash transfers 1 500 500 500 500 500 500 500 500 500 500 500 500 500
World peace 2 500 500 500 500 500 500 500 500 500 500 500 500 500
Global health and development 6 2,500 4,092 900 900 1,800 1,800 2,500 2,500 5,400 6,300 6,300 7,650 7,650
2 4,000 4,650 4,000 4,000 4,000 4,000 4,000 4,000 5,300 5,300 5,300 5,300 5,300

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 2021 2018 2017 2016
Global health and development (filter this donor) 6 5 24,550.00 22,050.00 0.00 0.00 2,500.00
Longtermism (filter this donor) 2 2 11,675.00 11,675.00 0.00 0.00 0.00
(filter this donor) 2 1 9,300.00 0.00 5,300.00 4,000.00 0.00
World peace (filter this donor) 2 2 1,000.00 0.00 0.00 0.00 1,000.00
Cash transfers (filter this donor) 1 1 500.00 0.00 0.00 0.00 500.00
Total 13 11 47,025.00 33,725.00 5,300.00 4,000.00 4,000.00

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 2021 2016
Global health and development 6 5 24,550.00 22,050.00 2,500.00
Longtermism 2 2 11,675.00 11,675.00 0.00
World peace 2 2 1,000.00 0.00 1,000.00
Cash transfers 1 1 500.00 0.00 500.00
Classified total 11 10 37,725.00 33,725.00 4,000.00
Unclassified total 2 1 9,300.00 0.00 0.00
Total 13 11 47,025.00 33,725.00 4,000.00

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 2021 2018 2017 2016
Effective Altruism Funds: Long-Term Future Fund (filter this donor) 11,225.00 11,225.00 0.00 0.00 0.00
Donor lottery (filter this donor) 9,300.00 0.00 5,300.00 4,000.00 0.00
GiveWell Maximum Impact Fund (filter this donor) Charity evaluation/global health/poverty FB Tw WP Site 8,800.00 6,300.00 0.00 0.00 2,500.00
Center for Global Development (filter this donor) FB Tw WP Site 7,650.00 7,650.00 0.00 0.00 0.00
Effective Altruism Funds: Global Health and Development Fund (filter this donor) 5,400.00 5,400.00 0.00 0.00 0.00
International Refugee Assistance Project (filter this donor) Migration policy/refugee assistance/legal help FB Tw Site 1,800.00 1,800.00 0.00 0.00 0.00
GiveWell (filter this donor) Charity evaluation/global health/poverty FB Tw WP Site TW 900.00 900.00 0.00 0.00 0.00
GiveDirectly (filter this donor) Cash transfers FB Tw WP Site GW 500.00 0.00 0.00 0.00 500.00
Carnegie Endowment for International Peace (filter this donor) FB Tw WP Site 500.00 0.00 0.00 0.00 500.00
Blue Ribbon Study Panel on Biodefense (filter this donor) Biosecurity and pandemic preparedness FB Tw WP Site 500.00 0.00 0.00 0.00 500.00
Legal Priorities Project (filter this donor) 450.00 450.00 0.00 0.00 0.00
Total -- -- 47,025.00 33,725.00 5,300.00 4,000.00 4,000.00

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 2021 2017 2016
GiveWell 3 2 9,700.00 7,200.00 0.00 2,500.00
Carl Shulman 1 1 4,000.00 0.00 4,000.00 0.00
GiveWell + a student of Pascaline Dupas 1 1 500.00 0.00 0.00 500.00
Jaime Yassif 1 1 500.00 0.00 0.00 500.00
Nick Beckstead 1 1 500.00 0.00 0.00 500.00
Classified total 7 6 15,200.00 7,200.00 4,000.00 4,000.00
Unclassified total 6 6 31,825.00 26,525.00 0.00 0.00
Total 13 11 47,025.00 33,725.00 4,000.00 4,000.00

Graph of spending by influencer and year (incremental, not 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 documents in reverse chronological order (2 documents)

Title (URL linked)Publication dateAuthorPublisherAffected donorsAffected doneesAffected influencersDocument scopeCause areaNotes
Donations for 20162016-12-28Jacob Steinhardt Jacob Steinhardt Donor lottery GiveWell top charities GiveDirectly Blue Ribbon Study Panel Carnegie Endowment for International Peace Periodic donation list documentationBiosecurity and pandemic preparedness,International relations,Global health and developmentExplanation for donation choices, also mention experimental funding of smaller projects
Donor lotteries: demonstration and FAQ (GW, IR)2016-12-07Carl Shulman Effective Altruism ForumTimothy Telleen-Lawton Gregory Lewis Ajeya Cotra Rohin Shah Helen Toner Nicole Ross Howie Lempel Rebecca Raible Pablo Stafforini Aaron Gertler Brayden McLean Benjamin Hoffman Catherine Olsson Eric Herboso Ian David Moss Glenn Willen Jacob Steinhardt Brandon Reinhart Donor lottery Donee donation caseCarl Shulman announces a donor lottery coordinated/sponsored by Paul Christiano, and provides a FAQ discussing questions people might have for participating in the lottery

Full list of donations in reverse chronological order (13 donations)

Graph of top 10 donees (for donations with known year of donation) by amount, showing the timeframe of donations

Graph of donations and their timeframes
DoneeAmount (current USD)Amount rank (out of 13)Donation dateCause areaURLInfluencerNotes
GiveWell Maximum Impact Fund6,300.0032021-06-23Global health and developmenthttps://bounded-regret.ghost.io/donations-19-20/GiveWell Intended use of funds (category): Regranting

Intended use of funds: The GiveWell Maximum Impact Fund regrants money quarterly to GiveWell top charities based on which ones have the most cost-effective and time-sensitive funding need.

Donor reason for selecting the donee: This 14% allocation should be viewed along with another of the donor's global health and development donations: 12% to the EA Funds (Global Health and Development Fund). The donation post says: "I had decided that I wanted around 20% of my donations to go toward helping the global poor in a relatively straightforward way (i.e. not through research about what to do in the future, but direct interventions that will help today). Based on my estimate of their portfolios, the 14% + 12% mix between these two funds got me to the 20% target while also allocating some money towards research."

Donor reason for donating that amount (rather than a bigger or smaller amount): This 14% allocation should be viewed along with another of the donor's global health and development allocation: 12% to the EA Funds (Global Health and Development Fund). The donation post says: "I had decided that I wanted around 20% of my donations to go toward helping the global poor in a relatively straightforward way (i.e. not through research about what to do in the future, but direct interventions that will help today). Based on my estimate of their portfolios, the 14% + 12% mix between these two funds got me to the 20% target while also allocating some money towards research." It also includes context on the total amount ($45,000): "Each year I aim to donate around 10% of my income. [...] The impact of COVID-19 on poor countries made me better appreciate how much better I have it than most of the world, so I tried to donate closer to 20% of my 2020 income, and that will be my goal moving forward as well. Between 2019 and 2020, this came out to $45,000 in total."
Percentage of total donor spend in the corresponding batch of donations: 14.00%

Donor reason for donating at this time (rather than earlier or later): The donation post says: "Each year I aim to donate around 10% of my income. In 2019, I fell behind on this, probably due to the chaos of COVID-19 (but really this was just an embarassing logistical failure on my part). I've recently, finally, finished processing donations for 2019 and 2020."

Donor thoughts on making further donations to the donee: The donation post suggests that the donor will not be granting to the GiveWell Maximum Impact Fund any more, saying: "In retrospect, I think a better allocation would have been 40% to GHDF and 5% to GiveWell. The reason is that GHDF is actively managed by someone who I trust, who has similar goals than me, and who is significantly more informed than I am, so I would expect whatever allocation Elie chooses to be better than what I chose above. In addition, I have grown more comfortable with higher-risk donations; I was already fairly comfortable with them, allocating ~80% to high-risk/high-reward opportunities, but I'd now feel okay with up to ~90%."
Effective Altruism Funds: Global Health and Development Fund5,400.0042021-06-23Global health and developmenthttps://bounded-regret.ghost.io/donations-19-20/-- Intended use of funds (category): Regranting

Intended use of funds: The Global Health and Development Fund is managed by Elie Hassenfeld, CEO of GiveWell, and primarily funds GiveWell Incubation Grants.

Donor reason for selecting the donee: This 14% allocation should be viewed along with another of the donor's global health and development donations: 12% to the GiveWell Maximum Impact Fund. The donation post says: "I had decided that I wanted around 20% of my donations to go toward helping the global poor in a relatively straightforward way (i.e. not through research about what to do in the future, but direct interventions that will help today). Based on my estimate of their portfolios, the 14% + 12% mix between these two funds got me to the 20% target while also allocating some money towards research."

Donor reason for donating that amount (rather than a bigger or smaller amount): This 14% allocation should be viewed along with another of the donor's global health and development donations: 12% to the GiveWell Maximum Impact Fund. The donation post says: "I had decided that I wanted around 20% of my donations to go toward helping the global poor in a relatively straightforward way (i.e. not through research about what to do in the future, but direct interventions that will help today). Based on my estimate of their portfolios, the 14% + 12% mix between these two funds got me to the 20% target while also allocating some money towards research." It also includes context on the total amount ($45,000): "Each year I aim to donate around 10% of my income. [...] The impact of COVID-19 on poor countries made me better appreciate how much better I have it than most of the world, so I tried to donate closer to 20% of my 2020 income, and that will be my goal moving forward as well. Between 2019 and 2020, this came out to $45,000 in total."
Percentage of total donor spend in the corresponding batch of donations: 12.00%

Donor reason for donating at this time (rather than earlier or later): The donation post says: "Each year I aim to donate around 10% of my income. In 2019, I fell behind on this, probably due to the chaos of COVID-19 (but really this was just an embarassing logistical failure on my part). I've recently, finally, finished processing donations for 2019 and 2020."

Donor thoughts on making further donations to the donee: The donation post suggests that the donor will increase granting to this fund, saying: "In retrospect, I think a better allocation would have been 40% to GHDF and 5% to GiveWell. The reason is that GHDF is actively managed by someone who I trust, who has similar goals than me, and who is significantly more informed than I am, so I would expect whatever allocation Elie chooses to be better than what I chose above. In addition, I have grown more comfortable with higher-risk donations; I was already fairly comfortable with them, allocating ~80% to high-risk/high-reward opportunities, but I'd now feel okay with up to ~90%."
Center for Global Development7,650.0022021-06-23Global health and developmenthttps://bounded-regret.ghost.io/donations-19-20/-- Intended use of funds (category): Organizational general support

Donor reason for selecting the donee: This money partly goes toward the intersection of "helping the global poor" of today and funding research (as opposed to interventions that can be applied immediately). The donation post says: "The Center for Global Development is primarily focused on research, and has a strong track record of past effectiveness."

Donor reason for donating that amount (rather than a bigger or smaller amount): This money partly goes toward the intersection of "helping the global poor" of today and funding research (as opposed to interventions that can be applied immediately). With a budget of 45% toward "helping the global poor" of which 20% was to direct interventions, the left-over amount after various adjustments worked out to 17%. The donation post also includes context on the total amount ($45,000): "Each year I aim to donate around 10% of my income. [...] The impact of COVID-19 on poor countries made me better appreciate how much better I have it than most of the world, so I tried to donate closer to 20% of my 2020 income, and that will be my goal moving forward as well. Between 2019 and 2020, this came out to $45,000 in total."
Percentage of total donor spend in the corresponding batch of donations: 17.00%

Donor reason for donating at this time (rather than earlier or later): The donation post says: "Each year I aim to donate around 10% of my income. In 2019, I fell behind on this, probably due to the chaos of COVID-19 (but really this was just an embarassing logistical failure on my part). I've recently, finally, finished processing donations for 2019 and 2020."

Donor thoughts on making further donations to the donee: The donation post suggests that the donor may not grant to CGD in future years: "In retrospect, I think a better allocation would have been 40% to GHDF and 5% to GiveWell. The reason is that GHDF is actively managed by someone who I trust, who has similar goals than me, and who is significantly more informed than I am, so I would expect whatever allocation Elie chooses to be better than what I chose above. In addition, I have grown more comfortable with higher-risk donations; I was already fairly comfortable with them, allocating ~80% to high-risk/high-reward opportunities, but I'd now feel okay with up to ~90%."
GiveWell900.0092021-06-23Global health and developmenthttps://bounded-regret.ghost.io/donations-19-20/GiveWell Intended use of funds (category): Organizational general support

Intended use of funds: These funds are to direct support GiveWell's operating expenses. This is in contrast with unrestricted support to GiveWell, that could get reallocated by GiveWell to its top charities when it has excess funds.

Donor reason for selecting the donee: The donation post talks of a 14% donation to the GiveWell Maximum Impact Fund, and adds: "Finally, GiveWell recommends allocating 10% of the donation to them to operating expenses, which I rounded up [from 10% of 14% = 1.4%] to 2%."

Donor reason for donating that amount (rather than a bigger or smaller amount): The donation post talks of a 14% donation to the GiveWell Maximum Impact Fund, and adds: "Finally, GiveWell recommends allocating 10% of the donation to them to operating expenses, which I rounded up [from 10% of 14% = 1.4%] to 2%." It also includes context on the total amount ($45,000): "Each year I aim to donate around 10% of my income. [...] The impact of COVID-19 on poor countries made me better appreciate how much better I have it than most of the world, so I tried to donate closer to 20% of my 2020 income, and that will be my goal moving forward as well. Between 2019 and 2020, this came out to $45,000 in total."
Percentage of total donor spend in the corresponding batch of donations: 2.00%

Donor reason for donating at this time (rather than earlier or later): The donation post says: "Each year I aim to donate around 10% of my income. In 2019, I fell behind on this, probably due to the chaos of COVID-19 (but really this was just an embarassing logistical failure on my part). I've recently, finally, finished processing donations for 2019 and 2020."

Donor thoughts on making further donations to the donee: The donation post says: "Finally, I feel that giving only 2% to GiveWell created perverse incentives: if GHDF hadn't existed, I would have donated more to GiveWell and thus given more to cover their operating costs. Since GHDF is run by the CEO of GiveWell, it seems incorrect to penalize GiveWell for GHDF's existence, so moving forward I will allocate 10% of my {GiveWell + GHDF} donation to cover operating expenses."
Effective Altruism Funds: Long-Term Future Fund11,225.0012021-06-23Longtermismhttps://bounded-regret.ghost.io/donations-19-20/-- Intended use of funds (category): Regranting

Donor reason for selecting the donee: The donation post says: "The Long-Term Future Fund funds technical or conceptual research oriented towards safeguarding the long-term future of humanity. They are actively managed and mostly give small grants to individual researchers or small organizations, an approach which I think has the potential for high impact. While some of the areas they focus on, such as safe AI, are not primarily cash-constrained, I think LTFF does a good job of identifying instances where cash can actually help. In some cases, they made grants that I was initially skeptical of but that in retrospect seemed like good ideas. I therefore trust their judgment to align reasonably well with what I would conclude after significant investigation."

Donor reason for donating that amount (rather than a bigger or smaller amount): The reason that only about half of the 51% allocation for the long-term future was to the Long-Term Future Fund was described in the donation post as follows: "On the other hand, they mostly do not fund policy-related work, and I think that good AI policy, especially surrounding international conflict and arms races, could be very important for humanity's long-term future. I therefore split my donations in this area in half between these two directions." It also includes context on the total amount ($45,000): "Each year I aim to donate around 10% of my income. [...] The impact of COVID-19 on poor countries made me better appreciate how much better I have it than most of the world, so I tried to donate closer to 20% of my 2020 income, and that will be my goal moving forward as well. Between 2019 and 2020, this came out to $45,000 in total."
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): The donation post says: "Each year I aim to donate around 10% of my income. In 2019, I fell behind on this, probably due to the chaos of COVID-19 (but really this was just an embarassing logistical failure on my part). I've recently, finally, finished processing donations for 2019 and 2020."

Donor thoughts on making further donations to the donee: The donation post says: "In retrospect, I think LTFF probably put significantly more effort than I did into evaluating all of the organizations I looked at, as well as several others, when deciding on their grant allocations. Therefore, in the future I would probably just allocate [all my long-term future donations] to LTFF and trust their decision-making. I feel somewhat worried about this, because if everyone pursues this strategy then it would concentrate grant-making in a small number of organizations, which could distort the overall funding ecosystem. That being said, I think the ultimate solution is to have other competitors to LTFF, rather than making low-information decisions as an individual. My hope is that funding them generously this year will help incentivize the creation of other strong grantmaking organizations."
Legal Priorities Project450.00132021-06-23Longtermismhttps://bounded-regret.ghost.io/donations-19-20/-- Intended use of funds (category): Organizational general support

Donor reason for selecting the donee: The donation post says: "I also donated a small amount to the Legal Priorities Project. They are a relatively new organization that in part seeks to improve law to take future generations into account; they also tackle several other questions in legal research that they view as high-impact. They were one of several small organizations that I investigated this year, and seemed the most impressive to me. Although they do not yet have a clear track record of success, I don't view this as unusual for an organization at their age, and I think supporting good organizations early on before they are clearly successful is often the highest-impact (assuming you can pick the organizations well, which can be difficult)."

Donor reason for donating that amount (rather than a bigger or smaller amount): The donation post suggests that the "small" amount of the donation reflects the organization's small size and the value of even a small amount of funding in helping it grow. It also includes context on the total amount ($45,000): "Each year I aim to donate around 10% of my income. [...] The impact of COVID-19 on poor countries made me better appreciate how much better I have it than most of the world, so I tried to donate closer to 20% of my 2020 income, and that will be my goal moving forward as well. Between 2019 and 2020, this came out to $45,000 in total."
Percentage of total donor spend in the corresponding batch of donations: 1.00%

Donor reason for donating at this time (rather than earlier or later): The donation post says: "Each year I aim to donate around 10% of my income. In 2019, I fell behind on this, probably due to the chaos of COVID-19 (but really this was just an embarassing logistical failure on my part). I've recently, finally, finished processing donations for 2019 and 2020."

Donor thoughts on making further donations to the donee: The donation post says: "in the future I would probably just allocate [all my long-term future donations] to LTFF and trust their decision-making." This, along with the fact that the donation to the Legal Priorities Project made sense specifically in the context of its early stage, suggests that the donor is unlikely to make further donations to the Legal Priorities Project.
International Refugee Assistance Project1,800.0082021-06-23Global health and developmenthttps://bounded-regret.ghost.io/donations-19-20/-- Intended use of funds (category): Organizational general support

Donor reason for selecting the donee: The donation post says: "I felt that IRAP was plausibly in the same ballpark as global health interventions in terms of impact, since they focus on immigration reform, whose beneficiaries are primarily in other countries. This is a neglected policy area within the U.S., and policy can be a strong philanthropic lever in areas that are not entrenched along partisan lines. A secondary benefit is that better immigration policy could help recruit more talented researchers to the U.S., which could help in other areas such as AI."

Donor reason for donating that amount (rather than a bigger or smaller amount): The reason for the relatively small allocation to IRAP is explained in the donation post as follows: "I am less confident that these donations maximize impact compared to the ones above, although I do feel that IRAP is a very good organization. The main reason these wouldn't maximize impact is that they are U.S.-centric, while most of the strongest philanthropic opportunities lie abroad." It also includes context on the total amount ($45,000): "Each year I aim to donate around 10% of my income. [...] The impact of COVID-19 on poor countries made me better appreciate how much better I have it than most of the world, so I tried to donate closer to 20% of my 2020 income, and that will be my goal moving forward as well. Between 2019 and 2020, this came out to $45,000 in total."
Percentage of total donor spend in the corresponding batch of donations: 4.00%

Donor reason for donating at this time (rather than earlier or later): The donation post says: "Each year I aim to donate around 10% of my income. In 2019, I fell behind on this, probably due to the chaos of COVID-19 (but really this was just an embarassing logistical failure on my part). I've recently, finally, finished processing donations for 2019 and 2020."
Donor lottery5,300.0052018-01-10--https://app.effectivealtruism.org/lotteries/31553453298138-- Block 2, [183,958,017,845–242,232,134,116]. 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.
Donor lottery4,000.0062017-01-04--http://effective-altruism.com/ea/14d/donor_lotteries_a_stepbystep_guide_for_mall/Carl Shulman See https://jsteinhardt.wordpress.com/2016/12/28/donations-for-2016/ for more context; the announcement was 2016-12-28, before the actual transaction. Percentage of total donor spend in the corresponding batch of donations: 40.00%.
GiveWell Maximum Impact Fund2,500.0072016-12-28Global health and developmenthttps://jsteinhardt.wordpress.com/2016/12/28/donations-for-2016/GiveWell Although donation was announced on this day we do not know when it was made. Percentage of total donor spend in the corresponding batch of donations: 25.00%.
GiveDirectly500.00102016-12-28Cash transfershttps://jsteinhardt.wordpress.com/2016/12/28/donations-for-2016/GiveWell + a student of Pascaline Dupas Although donation was announced on this day we do not know when it was made. Percentage of total donor spend in the corresponding batch of donations: 5.00%.
Carnegie Endowment for International Peace500.00102016-12-28World peacehttps://jsteinhardt.wordpress.com/2016/12/28/donations-for-2016/Nick Beckstead Earmarked for Carnegie-Tsinghua Center. Although donation was announced on this day we do not know when it was made. Percentage of total donor spend in the corresponding batch of donations: 5.00%.
Blue Ribbon Study Panel on Biodefense500.00102016-12-28World peacehttps://jsteinhardt.wordpress.com/2016/12/28/donations-for-2016/Jaime Yassif Although donation was announced on this day we do not know when it was made. Percentage of total donor spend in the corresponding batch of donations: 5.00%.

Similarity to other donors

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