Robert Yaman 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

We do not have any donor information for the donor Robert Yaman in our system.

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
Animal welfare (filter this donor) 2 2 29,000.00 0.00 21,000.00 8,000.00
AI safety (filter this donor) 1 1 5,000.00 0.00 5,000.00 0.00
(filter this donor) 1 1 97.50 97.50 0.00 0.00
Total 4 4 34,097.50 97.50 26,000.00 8,000.00

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 2016 2015
Animal welfare/meat alternatives 1 1 21,000.00 21,000.00 0.00
Animal welfare/Diet change/Veganism/Factory farming 1 1 8,000.00 0.00 8,000.00
AI safety 1 1 5,000.00 5,000.00 0.00
Classified total 3 3 34,000.00 26,000.00 8,000.00
Unclassified total 1 1 97.50 0.00 0.00
Total 4 4 34,097.50 26,000.00 8,000.00

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 2017 2016 2015
The Good Food Institute (filter this donor) Animal welfare/meat alternatives FB Tw WP Site 21,000.00 0.00 21,000.00 0.00
Mercy For Animals (filter this donor) Animal welfare/Diet change/Veganism/Factory farming FB Tw WP Site 8,000.00 0.00 0.00 8,000.00
Machine Intelligence Research Institute (filter this donor) AI safety FB Tw WP Site CN GS TW 5,000.00 0.00 5,000.00 0.00
Donor lottery (filter this donor) 97.50 97.50 0.00 0.00
Total -- -- 34,097.50 97.50 26,000.00 8,000.00

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 2015
Haseeb Qureshi 1 1 8,000.00 8,000.00
Classified total 1 1 8,000.00 8,000.00
Unclassified total 3 3 26,097.50 0.00
Total 4 4 34,097.50 8,000.00

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

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 (4 donations)

DoneeAmount (current USD)Donation dateCause areaURLInfluencerNotes
Donor lottery97.502017-12-18--https://app.effectivealtruism.org/lotteries/31553453298138-- Block 1, [345,897,689,790–346,969,713,626]. 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.
The Good Food Institute21,000.002016Animal welfare/meat alternativeshttps://github.com/peterhurford/ea-data/--
Machine Intelligence Research Institute5,000.002016AI safetyhttps://github.com/peterhurford/ea-data/--
Mercy For Animals8,000.002015Animal welfare/Diet change/Veganism/Factory farminghttps://github.com/peterhurford/ea-data/Haseeb Qureshi See https://eahub.org/user/haseeb-qureshi for claim by Haseeb Qureshi of influence on this donation.

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
Benjamin Hoffman 2 2 4 0.5 0.7071 0.2172
Brandon Reinhart 2 2 4 0.5 0.7071 0.2165
Paul Christiano 2 2 4 0.5 0.7071 0.2172
JP Addison 6 3 7 0.4286 0.6124 0.0349
Josh Jacobson 5 2 7 0.2857 0.4472 0.0378
Aaron Tucker 1 1 4 0.25 0.5 0.0042
Adam Gleave 1 1 4 0.25 0.5 0.0042
Adam Weissman 1 1 4 0.25 0.5 0.2172
Alan Chang 1 1 4 0.25 0.5 0.2172
Aleksei Riikonen 1 1 4 0.25 0.5 0.2172
Alex Edelman 1 1 4 0.25 0.5 0.2172
Alex Schell 1 1 4 0.25 0.5 0.2172
Alexei Andreev 1 1 4 0.25 0.5 0.2172
Andrew Hay 1 1 4 0.25 0.5 0.2172
Austin Peña 1 1 4 0.25 0.5 0.2172
Ben Hoskin 1 1 4 0.25 0.5 0.2172
Benefactor 1 1 4 0.25 0.5 0.0042
Benjamin Goldhaber 1 1 4 0.25 0.5 0.2172
Brayden McLean 1 1 4 0.25 0.5 0.0042
Brian Cartmell 1 1 4 0.25 0.5 0.2172
Bruno Parga 1 1 4 0.25 0.5 0.2172
Bryan Dana 1 1 4 0.25 0.5 0.2172
Buck Shlegeris 1 1 4 0.25 0.5 0.2172
Catherine Olsson 1 1 4 0.25 0.5 0.0042
Chris Haley 1 1 4 0.25 0.5 0.2172
Christian Calderon 1 1 4 0.25 0.5 0.2172
Christopher Bangs 1 1 4 0.25 0.5 0.0042
Cliff & Stephanie Hyra 1 1 4 0.25 0.5 0.2172
Daniel Kane 1 1 4 0.25 0.5 0.0042
Daniel Nelson 1 1 4 0.25 0.5 0.2172