Josh Rosenberg donations made (filtered to cause areas matching Global catastrophic risks)

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 1 0 0 0 0 0 0 0 0 0 0 0 0 0
Global catastrophic risks 1 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
Global catastrophic risks (filter this donor) 1 1 0.00
Total 1 1 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
Effective Altruism Funds: Long-Term Future Fund (filter this donor) 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 donations in reverse chronological order (1 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 1)Donation dateCause areaURLInfluencerNotes
Effective Altruism Funds: Long-Term Future Fund----2017-12-11Global catastrophic risks/other long-term futurehttps://blog.givewell.org/2017/12/11/staff-members-personal-donations-for-giving-season-2017/#Josh-- Believes money in the fund will be put to good use, and believes in the importance of future generations. 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 1 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
Patrick Brinich-Langlois 1 1 1 1.0000 1