Josh Rosenberg donations made (filtered to cause areas matching Cash transfers)

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

ItemValue
Country United States
Affiliated organizations (current or former; restricted to potential donees or others relevant to donation decisions)GiveWell Open Philanthropy
Facebook username jhrosenberg
LinkedIn username josh-rosenberg-07590626
Data entry method on Donations List WebsiteManual (no scripts used)

Donor donation statistics

Cause areaCountMedianMeanMinimum10th percentile 20th percentile 30th percentile 40th percentile 50th percentile 60th percentile 70th percentile 80th percentile 90th percentile Maximum
Overall 5 0 0 0 0 0 0 0 0 0 0 0 0 0
Cash transfers 2 0 0 0 0 0 0 0 0 0 0 0 0 0
Global health and cash transfers 3 0 0 0 0 0 0 0 0 0 0 0 0 0

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
Cash transfers (filter this donor) 2 1 0.00
Global health and cash transfers (filter this donor) 3 1 0.00
Total 5 2 0.00

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

Donation amounts by subcause area and year

Sorry, we couldn't find any subcause area information.

Donation amounts by donee and year

Donee Cause area Metadata Total
GiveDirectly (filter this donor) Cash transfers FB Tw WP Site GW 0.00
GiveWell top charities (filter this donor) Charity evaluation/global health/poverty FB Tw WP Site 0.00
Total -- -- 0.00

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 documents in reverse chronological order (1 documents)

Title (URL linked)Publication dateAuthorPublisherAffected donorsAffected doneesDocument scopeCause areaNotes
Response to concerns about GiveWell’s spillovers analysis2018-12-06Josh Rosenberg GiveWellGiveWell discretionary regranting Good Ventures/GiveWell top and standout charities GiveDirectly Reasoning supplementCash transfersThe blog post explains in more detail how GiveWell came to its conclusions in its recent analysis of spillover effects from GiveDirectly's cash transfer program. In particular, it responds to a series of tweets from economist Berk Özler expressing concern over GiveWell for (1) using an unpublished paper as a key study, (2) placing little weight on some papers in its analysis of spillover effects, (3) focusing solely on consumption. While replying to the concerns, the GiveWell blog post also explains some of the broader principles used by GiveWell to determine when to use private information, and what evidence to review and what outcomes to consider

Full list of donations in reverse chronological order (5 donations)

Graph of top 10 donees by amount, showing the timeframe of donations

Graph of donations and their timeframes
DoneeAmount (current USD)Amount rank (out of 5)Donation dateCause areaURLInfluencerNotes
GiveWell top charities----2017-12-11Global health and cash transfershttps://blog.givewell.org/2017/12/11/staff-members-personal-donations-for-giving-season-2017/#JoshGiveWell Believes that these are among the most effective ways to help people, and knows the team has intensely scrutinized these giving opportunities. Percentage of total donor spend in the corresponding batch of donations: 100.00%.
GiveWell top charities----2016-12-09Global health and cash transfershttps://blog.givewell.org/2016/12/09/staff-members-personal-donations-giving-season-2016/GiveWell Believed in collective wisdom of GiveWell. Rather than dissent by donating elsewhere, considered it more productive to raise issues in debate and have combined wisdom of fellow staffers. Percentage of total donor spend in the corresponding batch of donations: 100.00%.
GiveDirectly----2015-12-09Cash transfershttps://blog.givewell.org/2015/12/09/staff-members-personal-donations-for-giving-season-2015/GiveWell Large potential upside, reward to GiveDirectly for being an outstanding organization, and funds directly to individuals to spend for themselves. Percentage of total donor spend in the corresponding batch of donations: 100.00%.
GiveWell top charities----2014-12-17Global health and cash transfershttps://blog.givewell.org/2014/12/17/staff-members-personal-donations-giving-season-2014/GiveWell More convinced of GiveWell allocation recommendation, so following that. Percentage of total donor spend in the corresponding batch of donations: 100.00%.
GiveDirectly----2013-12-12Cash transfershttps://blog.givewell.org/2013/12/12/staff-members-personal-donations/GiveWell Split donation in half, one half for giving now and the other half for giving next year at the latest. The half to give now went entirely to GiveDirectly. Percentage of total donor spend in the corresponding batch of donations: 100.00%.

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
Oliver Base 1 1 1 1.0000 1
Jacob Steinhardt 1 1 1 1.0000 1
Jason Harner 1 1 1 1.0000 1
Jay Feldman 1 1 1 1.0000 1
Kyle Lackinger 1 1 1 1.0000 1
Lovkush Agarwal 1 1 1 1.0000 1
Luca Masters 1 1 1 1.0000 1
Luke Freeman 1 1 1 1.0000 1
Marius Hobbhahn 1 1 1 1.0000 1
Matt Reardon 1 1 1 1.0000 1
Matthew Dahlhausen 1 1 1 1.0000 1
Max Broad 1 1 1 1.0000 1
Michael Levine 1 1 1 1.0000 1
Michael Sesser 1 1 1 1.0000 1
Michelle Taylor 1 1 1 1.0000 1
Nick Brown 1 1 1 1.0000 1
Jacob Falkovich 1 1 1 1.0000 1
Peter Hurford 1 1 1 1.0000 1
Peter O'Brien 1 1 1 1.0000 1
Rebecca Raible 1 1 1 1.0000 1
Richard Clarke 1 1 1 1.0000 1
Robert Flatow 1 1 1 1.0000 1
Samuel Hilton 1 1 1 1.0000 1
Sophia Cyna 1 1 1 1.0000 1
Sophie Monahan 1 1 1 1.0000 1
Steve Merrick 1 1 1 1.0000 1
Tessa Alexanian 1 1 1 1.0000 1
Tom Lucena 1 1 1 1.0000 1
Vidur Kapur 1 1 1 1.0000 1
Vipul Naik 1 1 1 1.0000 1