Michael Dickens 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 (see his commits) 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 2018. See the about page for more details.

Table of contents

Basic donor information

ItemValue
Country United States
Facebook username michael.j.dickens
LinkedIn username michael-dickens-a4173255
Websitehttp://mdickens.me/
Donations URLhttp://mdickens.me/donations/
LessWrong usernameMTGandP
Effective Altruism Forum usernameMichaelDickens
Effective Altruism Hub usernamemichael-dickens
GitHub usernamemichaeldickens
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 2017 2016 2015 2014
Animal welfare (filter this donor) 2 2 29,400.00 26,400.00 0.00 3,000.00 0.00
Effective altruism (filter this donor) 2 1 20,020.00 0.00 0.00 20,020.00 0.00
(filter this donor) 4 3 550.00 0.00 30.00 20.00 500.00
Total 8 6 49,970.00 26,400.00 30.00 23,040.00 500.00

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 2015
Animal welfare/meat alternatives 1 1 26,400.00 26,400.00 0.00
Effective altruism/meta/fundraising 2 1 20,020.00 0.00 20,020.00
Animal welfare/factory farming/meta/charity evaluator 1 1 3,000.00 0.00 3,000.00
Classified total 4 3 49,420.00 26,400.00 23,020.00
Unclassified total 4 3 550.00 0.00 20.00
Total 8 6 49,970.00 26,400.00 23,040.00

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 2014
The Good Food Institute (filter this donor) Animal welfare/meat alternatives FB Tw WP Site 26,400.00 26,400.00 0.00 0.00 0.00
Raising for Effective Giving (filter this donor) Effective altruism/Fundraising/Poker and sports FB Tw WP Site 20,020.00 0.00 0.00 20,020.00 0.00
Animal Charity Evaluators (filter this donor) Animal welfare/factory farming/meta/charity evaluator FB Tw WP Site 3,000.00 0.00 0.00 3,000.00 0.00
The Humane League (filter this donor) Animal welfare/Diet change/Veganism/Factory farming FB Tw WP Site 520.00 0.00 0.00 20.00 500.00
Machine Intelligence Research Institute (filter this donor) AI risk FB Tw WP Site CN GS TW 20.00 0.00 20.00 0.00 0.00
Animal Equality (filter this donor) FB Tw WP Site 10.00 0.00 10.00 0.00 0.00
Total -- -- 49,970.00 26,400.00 30.00 23,040.00 500.00

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 2014
Stanford EA 2 2 3,500.00 3,000.00 500.00
Classified total 2 2 3,500.00 3,000.00 500.00
Unclassified total 6 5 46,470.00 20,040.00 0.00
Total 8 6 49,970.00 23,040.00 500.00

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

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 (2 documents)

Title (URL linked)Publication dateAuthorPublisherAffected donorsAffected doneesDocument scopeCause areaNotes
Where I Am Donating in 20162016-11-01Michael Dickens Effective Altruism ForumMichael Dickens Animal Charity Evaluators The Good Food Institute Mercy For Animals Raising for Effective Giving Single donation documentationAnimal welfare, AI riskDickens described his evaluation of each of the four finalists and the reasoning behind his (tentatively) final decision to give to The Good Food Institute
My Cause Selection: Michael Dickens2015-09-15Michael Dickens Effective Altruism ForumMichael Dickens Machine Intelligence Research Institute Future of Humanity Institute Centre for the Study of Existential Risk Future of Life Institute Open Philanthropy Project Animal Charity Evaluators Animal Ethics Foundational Research Institute Giving What We Can Charity Science Raising for Effective Giving Single donation documentationAnimal welfare,AI risk,Effective altruismExplanation by Dickens of giving choice for 2015. After some consideration, narrows choice to three orgs: MIRI, ACE, and REG. Finally chooses REG due to weighted donation multiplier

Full list of donations in reverse chronological order (8 donations)

DoneeAmount (current USD)Donation dateCause areaURLInfluencerNotes
The Good Food Institute26,400.002017-02Animal welfare/meat alternativeshttp://mdickens.me/donations/-- See http://mdickens.me/2016/10/31/where_i_am_donating_in_2016/ for a full explanation of the reasons for donation. Note that the donation was for 2016 but was made in 2017 for personal finance and tax reasons. Employer match: Affirm Inc matched 20,000.00; Percentage of total donor spend in the corresponding batch of donations: 100.00%.
Animal Equality10.002016-03--http://mdickens.me/donations/small.html--
Machine Intelligence Research Institute20.002016-01--http://mdickens.me/donations/small.html--
Raising for Effective Giving20.002015-12Effective altruism/meta/fundraisinghttp://mdickens.me/donations/small.html--
The Humane League20.002015-11--http://mdickens.me/donations/small.html--
Raising for Effective Giving20,000.002015-10Effective altruism/meta/fundraisinghttp://mdickens.me/donations/-- See http://effective-altruism.com/ea/ns/my_cause_selection_michael_dickens/ for the full reasoning; also mirrored at http://mdickens.me/2015/09/15/my_cause_selection/.
Animal Charity Evaluators3,000.002015-05Animal welfare/factory farming/meta/charity evaluatorhttp://mdickens.me/donations/Stanford EA Part of a collective donation by Stanford EA; Dickens had a preference for THL but deferred to group consensus.
The Humane League500.002014-05--http://mdickens.me/donations/Stanford EA Donated as part of Stanford EA consensus.

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
Joshua Kissel 2 2 6 0.3333 0.5774 0.0915
JP Addison 6 3 9 0.3333 0.5 0.023
Kyle Bogosian 2 2 6 0.3333 0.5774 0.0011
Max Broad 6 3 9 0.3333 0.5 0.2223
Michael Sesser 7 3 10 0.3 0.4629 0.4995
Grace King 8 3 11 0.2727 0.433 0.4859
Akhil Jalan 4 2 8 0.25 0.4082 0.0022
Brian Tomasik 4 2 8 0.25 0.4082 0.0201
Robert Yaman 4 2 8 0.25 0.4082 0.7239
Patrick Brinich-Langlois 10 3 13 0.2308 0.3873 0.0259
Josh Jacobson 5 2 9 0.2222 0.3651 0.0835
Raymond Arnold 5 2 9 0.2222 0.3651 0.0009
Effective Altruism Funds 17 4 19 0.2105 0.3961 0.0244
Nick Brown 6 2 10 0.2 0.3333 0.0011
Catherine Low 7 2 11 0.1818 0.3086 0.0067
Vidur Kapur 7 2 11 0.1818 0.3086 0.0809
Adam Weissman 1 1 6 0.1667 0.4082 0.0006
Alan Chang 1 1 6 0.1667 0.4082 0.0006
Aleksei Riikonen 1 1 6 0.1667 0.4082 0.0006
Alex Edelman 1 1 6 0.1667 0.4082 0.0006
Alex Schell 1 1 6 0.1667 0.4082 0.0006
Alexei Andreev 1 1 6 0.1667 0.4082 0.0006
Andrew Hay 1 1 6 0.1667 0.4082 0.0006
Austin Peña 1 1 6 0.1667 0.4082 0.0006
Ben Hoskin 1 1 6 0.1667 0.4082 0.0006
Benjamin Goldhaber 1 1 6 0.1667 0.4082 0.0006
Brian Cartmell 1 1 6 0.1667 0.4082 0.0006
Bruno Parga 1 1 6 0.1667 0.4082 0.0006
Bryan Dana 1 1 6 0.1667 0.4082 0.0006
Buck Shlegeris 1 1 6 0.1667 0.4082 0.0006