For sure, I think a slightly more comprehensive comparison of grantmakers would include the stats for the number of grants, median check size, and amount of public info for each grant made.
Also, perhaps # of employees, or ratio of grants per employee? Like, OpenPhil is ~120 FTE, Manifund/EA Funds are ~2, this naturally leads to differences in writeup-producing capabilities.
Thanks, Austin. @Joey did an analysis 2 years ago (published on 21 June 2022) where he estimated the ratio between total hours of vetting and dollars granted for various organisations. Here is the table with the results:
I am little confused by the colour coding. In the last column, I think “1:5000” and “1:3600″ should be in green given “1:7000” is in green.
It would be nice to have an updated table for 2023 with total amount granted, total words in public write-ups, total cost (excluding grants), ratio between total amount granted and cost, and ratio between total amount granted and words in public write-ups. Maybe @Sjir Hoeijmakers and @Michael Townsend could do this as part of Giving What We Can’s project to evaluate the evaluators.
For sure, I think a slightly more comprehensive comparison of grantmakers would include the stats for the number of grants, median check size, and amount of public info for each grant made.
Also, perhaps # of employees, or ratio of grants per employee? Like, OpenPhil is ~120 FTE, Manifund/EA Funds are ~2, this naturally leads to differences in writeup-producing capabilities.
Thanks, Austin. @Joey did an analysis 2 years ago (published on 21 June 2022) where he estimated the ratio between total hours of vetting and dollars granted for various organisations. Here is the table with the results:
I am little confused by the colour coding. In the last column, I think “1:5000” and “1:3600″ should be in green given “1:7000” is in green.
It would be nice to have an updated table for 2023 with total amount granted, total words in public write-ups, total cost (excluding grants), ratio between total amount granted and cost, and ratio between total amount granted and words in public write-ups. Maybe @Sjir Hoeijmakers and @Michael Townsend could do this as part of Giving What We Can’s project to evaluate the evaluators.