Saulius Simcikas 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

We do not have any donor information for the donor Saulius Simcikas in our system.

Donor donation statistics

Cause areaCountMedianMeanMinimum10th percentile 20th percentile 30th percentile 40th percentile 50th percentile 60th percentile 70th percentile 80th percentile 90th percentile Maximum
Overall 2 13 20 13 13 13 13 13 13 26 26 26 26 26
Global health 2 13 20 13 13 13 13 13 13 26 26 26 26 26

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 2016
Global health (filter this donor) 2 2 39.44 39.44
Total 2 2 39.44 39.44

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

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
Global health/malaria 1 1 26.29 26.29
Global health/deworming 1 1 13.15 13.15
Classified total 2 2 39.44 39.44
Unclassified total 0 0 0.00 0.00
Total 2 2 39.44 39.44

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

Donation amounts by donee and year

Donee Cause area Metadata Total
Against Malaria Foundation (filter this donor) Global health/malaria FB Tw WP Site GW CN GS TW 26.29 26.29
Schistosomiasis Control Initiative (filter this donor) Global health/deworming Tw WP Site GW 13.15 13.15
Total -- -- 39.44 39.44

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

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 (2 donations)

DoneeAmount (current USD)Amount rank (out of 2)Donation dateCause areaURLInfluencerNotes
Against Malaria Foundation26.2912016Global health/malariahttps://github.com/peterhurford/ea-data/--
Schistosomiasis Control Initiative13.1522016Global health/deworminghttps://github.com/peterhurford/ea-data/--

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
Alexander Berger 2 2 2 1.0000 1
Alfredo Parra 2 2 2 1.0000 1 0.9944
Andrew Kokemoor 2 2 2 1.0000 1 0.9504
Andrew Martin 2 2 2 1.0000 1
Ben Kuhn 2 2 2 1.0000 1 0.9965
Carol Thomas 2 2 2 1.0000 1 0.9022
Håkon Harnes 2 2 2 1.0000 1 1
Holly Elmore 2 2 2 1.0000 1 0.9701
Isabel Arjmand 2 2 2 1.0000 1
Jay Feldman 2 2 2 1.0000 1 0.9631
Jeff Kaufman and Julia Wise 2 2 2 1.0000 1 0.9183
Jørgen Ljønes 2 2 2 1.0000 1 0.8001
Kyle Lackinger 2 2 2 1.0000 1 0.9839
Larissa Hesketh-Rowe 2 2 2 1.0000 1 0.9735
Matthew Dahlhausen 2 2 2 1.0000 1 0.978
Max Carpendale 2 2 2 1.0000 1 0.7072
Michael Peyton Jones 2 2 2 1.0000 1 1
Michael Sesser 2 2 2 1.0000 1 0.8001
Nora Koci 2 2 2 1.0000 1 1
Pablo Stafforini 2 2 2 1.0000 1 0.9353
Per-Erik Milam 2 2 2 1.0000 1 0.9964
peter janicki 2 2 2 1.0000 1 0.9487
Robert Flatow 2 2 2 1.0000 1 0.9955
Tom Lucena 2 2 2 1.0000 1 0.9468
Vegard Blindheim 2 2 2 1.0000 1 0.952
Will Hastings 2 2 2 1.0000 1 0.9923
Adam Nightingale 3 2 3 0.6667 0.8165 0.9759
Catherine Low 3 2 3 0.6667 0.8165 0.9006
Cullen O'Keefe 3 2 3 0.6667 0.8165 0.7746
David Barry 3 2 3 0.6667 0.8165 0.9411