I’m not a funder myself, so I don’t have a strong take on this question.
I think the biggest consideration might just be how quickly they expect to find opportunities that are above the bar. This depends on research progress, plus how quickly the community is able to create new opportunities, plus how quickly they’re able to grow their grantmaking capacity.
All the normal optimal timing questions also also relevant (e.g. is now an unusually hingey time or not; the expected rate of investment returns).
The idea of waiting 10 years while you gradually build a team & do more research, and maybe double your money via investing, seems like a pretty reasonable strategy, unless you think now is very hingey. This is basically the strategy that Open Phil has taken so far. Though you could also argue that either now *is* hingey, and also that we’re only deploying 1% of capital per year, which seems too low, which would both be reasons to deploy more rapidly.
Do you have an opinion on whether that bar that funders are currently holding opportunities to should be lowered?
What are the most relevant considerations here in your opinion?
I’m not a funder myself, so I don’t have a strong take on this question.
I think the biggest consideration might just be how quickly they expect to find opportunities that are above the bar. This depends on research progress, plus how quickly the community is able to create new opportunities, plus how quickly they’re able to grow their grantmaking capacity.
All the normal optimal timing questions also also relevant (e.g. is now an unusually hingey time or not; the expected rate of investment returns).
The idea of waiting 10 years while you gradually build a team & do more research, and maybe double your money via investing, seems like a pretty reasonable strategy, unless you think now is very hingey. This is basically the strategy that Open Phil has taken so far. Though you could also argue that either now *is* hingey, and also that we’re only deploying 1% of capital per year, which seems too low, which would both be reasons to deploy more rapidly.