Re: “De-facto GV was and is likely to continue to be 95%+ of the giving that OP is influencing.” This isn’t true, including specifically for my team (“AI governance and policy”).
I would take bets on this! It is of course important to assess counterfactualness of recommendations from OP. If you recommend a grant a funder would have made anyways, it doesn’t make any sense to count that as something OP “influenced”.
With that adjustment, I would take bets that more than 90% of influence-adjusted grants from OP in 2024 will have been made by GV (I don’t think it’s true in “AI governance and policy” where I can imagine it being substantially lower, I have much less visibility into that domain. My median for all of OP is 95%, but that doesn’t imply my betting odds, since I want at least a bit of profit margin).
Happy to refer to some trusted third-party arbiter for adjudicating.
Sure, my guess is OP gets around 50%[1] of the credit for that and GV is about 20% of the funding in the pool, making the remaining portion a ~$10M/yr grant ($20M/yr for 4 years of non-GV funding[2]). GV gives out ~$600M[3] grants per year recommended by OP, so to get to >5% you would need the equivalent of 3 projects of this size per year, which I haven’t seen (and don’t currently think exist).
Even at 100% credit, which seems like a big stretch, my guess is you don’t get over 5%.
To substantially change the implications of my sentence I think you need to get closer to 10%, which I think seems implausible from my viewpoint. It seems pretty clear the right number is around 95% (and IMO it’s bad form given that to just respond with a “this was never true” when it’s clearly and obviously been true in some past years, and it’s at the very least very close to true this year).
Mostly chosen for schelling-ness. I can imagine it being higher or lower. It seems like lots of other people outside of OP have been involved, and the choice of area seems heavily determined by what OP could get buy-in for from other funders, seeming somewhat more constrained than other grants, so I think a lower number seems more reasonable.
I have also learned to really not count your chickens before they are hatched with projects like this, so I think one should discount this funding by an expected 20-30% for a 4-year project like this, since funders frequently drop out and leadership changes, but we can ignore that for now
I would take bets on this! It is of course important to assess counterfactualness of recommendations from OP. If you recommend a grant a funder would have made anyways, it doesn’t make any sense to count that as something OP “influenced”.
With that adjustment, I would take bets that more than 90% of influence-adjusted grants from OP in 2024 will have been made by GV (I don’t think it’s true in “AI governance and policy” where I can imagine it being substantially lower, I have much less visibility into that domain. My median for all of OP is 95%, but that doesn’t imply my betting odds, since I want at least a bit of profit margin).
Happy to refer to some trusted third-party arbiter for adjudicating.
I’d rather not spend more time engaging here, but see e.g. this.
Sure, my guess is OP gets around 50%[1] of the credit for that and GV is about 20% of the funding in the pool, making the remaining portion a ~$10M/yr grant ($20M/yr for 4 years of non-GV funding[2]). GV gives out ~$600M[3] grants per year recommended by OP, so to get to >5% you would need the equivalent of 3 projects of this size per year, which I haven’t seen (and don’t currently think exist).
Even at 100% credit, which seems like a big stretch, my guess is you don’t get over 5%.
To substantially change the implications of my sentence I think you need to get closer to 10%, which I think seems implausible from my viewpoint. It seems pretty clear the right number is around 95% (and IMO it’s bad form given that to just respond with a “this was never true” when it’s clearly and obviously been true in some past years, and it’s at the very least very close to true this year).
Mostly chosen for schelling-ness. I can imagine it being higher or lower. It seems like lots of other people outside of OP have been involved, and the choice of area seems heavily determined by what OP could get buy-in for from other funders, seeming somewhat more constrained than other grants, so I think a lower number seems more reasonable.
I have also learned to really not count your chickens before they are hatched with projects like this, so I think one should discount this funding by an expected 20-30% for a 4-year project like this, since funders frequently drop out and leadership changes, but we can ignore that for now
https://www.goodventures.org/our-portfolio/grantmaking-approach/
I’m confused by the wording of your bet—I thought you had been arguing than more than 90% are by GV, not ‘more than 90% are by a non-GV funder’
Sorry, just a typo!