Richard Schwall 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 December 2019. See the about page for more details.

Table of contents

Basic donor information

ItemValue
Country United States
Affiliated organizations (current or former; restricted to potential donees or others relevant to donation decisions)Machine Intelligence Research Institute
Facebook username https://www.facebook.com/profile.php?id=527228159
LinkedIn username rick-schwall-63652226
Effective Altruism Hub usernamerichard-schwall
Data entry method on Donations List WebsiteManual (no scripts used)

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 2018 2017 2016 2015
AI safety (filter this donor) 5 1 419,495.00 65,189.00 46,698.00 30,000.00 277,608.00
Rationality (filter this donor) 1 1 75,000.00 0.00 0.00 75,000.00 0.00
Total 6 2 494,495.00 65,189.00 46,698.00 105,000.00 277,608.00

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 2018 2017 2016 2015
AI safety 5 1 419,495.00 65,189.00 46,698.00 30,000.00 277,608.00
Rationality 1 1 75,000.00 0.00 0.00 75,000.00 0.00
Classified total 6 2 494,495.00 65,189.00 46,698.00 105,000.00 277,608.00
Unclassified total 0 0 0.00 0.00 0.00 0.00 0.00
Total 6 2 494,495.00 65,189.00 46,698.00 105,000.00 277,608.00

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 2018 2017 2016 2015
Machine Intelligence Research Institute (filter this donor) AI safety FB Tw WP Site CN GS TW 419,495.00 65,189.00 46,698.00 30,000.00 277,608.00
Center for Applied Rationality (filter this donor) Rationality FB Tw WP Site TW 75,000.00 0.00 0.00 75,000.00 0.00
Total -- -- 494,495.00 65,189.00 46,698.00 105,000.00 277,608.00

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

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 donations in reverse chronological order (6 donations)

DoneeAmount (current USD)Donation dateCause areaURLInfluencerNotes
Machine Intelligence Research Institute59,639.002018AI safetyhttps://intelligence.org/topcontributors/--
Machine Intelligence Research Institute5,550.002018AI safetyhttps://web.archive.org/web/20180117010054/https://intelligence.org/topcontributors/--
Machine Intelligence Research Institute46,698.002017AI safetyhttps://web.archive.org/web/20171223071315/https://intelligence.org/topcontributors/--
Machine Intelligence Research Institute30,000.002016AI safetyhttps://web.archive.org/web/20160115172820/https://intelligence.org/donortools/topdonors.php--
Center for Applied Rationality75,000.002016Rationalityhttps://github.com/peterhurford/ea-data/--
Machine Intelligence Research Institute277,608.002015AI safetyhttps://web.archive.org/web/20150117213932/https://intelligence.org/donortools/topdonors.php--

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
Blake Borgeson 2 2 2 1 1 0.9989
Loren Merritt 2 2 2 1 1 0.9916
Adam Weissman 1 1 2 0.5 0.7071 0.979
Alan Chang 1 1 2 0.5 0.7071 0.979
Aleksei Riikonen 1 1 2 0.5 0.7071 0.979
Alex Edelman 1 1 2 0.5 0.7071 0.979
Alex Schell 1 1 2 0.5 0.7071 0.979
Alexei Andreev 1 1 2 0.5 0.7071 0.979
Andrew Hay 1 1 2 0.5 0.7071 0.979
Austin Peña 1 1 2 0.5 0.7071 0.979
Ben Hoskin 1 1 2 0.5 0.7071 0.979
Benjamin Goldhaber 1 1 2 0.5 0.7071 0.979
Berkeley Existential Risk Initiative 4 2 4 0.5 0.7071 0.4061
Brian Cartmell 1 1 2 0.5 0.7071 0.979
Bruno Parga 1 1 2 0.5 0.7071 0.979
Bryan Dana 1 1 2 0.5 0.7071 0.979
Buck Shlegeris 1 1 2 0.5 0.7071 0.979
Chris Haley 1 1 2 0.5 0.7071 0.979
Christian Calderon 1 1 2 0.5 0.7071 0.979
Cliff & Stephanie Hyra 1 1 2 0.5 0.7071 0.979
Daniel Nelson 1 1 2 0.5 0.7071 0.979
Daniel Ziegler 1 1 2 0.5 0.7071 0.979
Donald King 1 1 2 0.5 0.7071 0.979
Edwin Evans 1 1 2 0.5 0.7071 0.979
Emma Borhanian 1 1 2 0.5 0.7071 0.979
Eric Lin 1 1 2 0.5 0.7071 0.979
Eric Rogstad 1 1 2 0.5 0.7071 0.979
Ethan Dickinson 1 1 2 0.5 0.7071 0.979
Frank Adamek 1 1 2 0.5 0.7071 0.979
Gary Basin 1 1 2 0.5 0.7071 0.979