Most individuals are heavily constrained by income. They're spending the majority of their time and energy on generating an income, which is usually low-impact. Meanwhile, as EA grows, the inferential distance one needs to cover to become able to contribute is growing.
By "bridging the inferential gap", I don't just mean learning the basics of EA, but also putting in the time to find highly impactful ideas for projects and learning the skills required to execute them. I would wager that it is many times easier to bridge this gap if someone is working on it full-time. For the sake of simplicity, I'd like to focus on individuals who are self-starting, i.e. all they need is an income and they can take care of the rest.
So let's divide self-starting EA's into three buckets.
A) the ones who are already working on effective projects full-time through employment or a grant
B) the ones who are not working on effective projects, but would put themselves in that position through self-study if they had a year's runway
C) the ones who would not be able to work on effective projects even after a year of self-study
I have three related questions:
- How large is bucket B? How large is it relative to bucket A?
- How can we identify individuals that belong in bucket B?
- If we do identify such an individual, under what conditions is it cost-effective to throw a year's salary at them to let them figure things out?
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I am pretty pessimistic about the number of people who aren't in a position to contribute to the world's most pressing problems today, but could readily contribute with a year of self-study.
I think the biggest constraint for having more people working on EA projects is management and leadership capacity. But those aren't things you can (solely) self-study; you need to practice management and leadership in order to get good at them.
I am most optimistic about a year of self-study being useful if someone already has a proven track record of really established skills (whether inside the EA community or outside) and wants to pivot to apply those skills to a different situation. But in those cases I would often expect the person to get hired and learn on the job, or to get a grant for whatever their new project will be with some learning time built in.
tl;dr I think group B is small.
I think the biggest constraint for having more people working on EA projects is management and leadership capacity. But those aren't things you can (solely) self-study; you need to practice management and leadership in order to get good at them.
What about those people that already have management and leadership skills, but lack things like:
- Connections with important actors
- Awareness of the incentives and the models of the important actors
- Awareness of important bottlenecks in the movement
- Background knowledge as a source of legitimacy
- Skin in the game / a trac
One thing I like about the EA Hotel is that there is a selection effect in that people who aren't committed to EA are unlikely to want to move there. Given the huge amount of funds in EA, I think that we ought to greatly expand this kind of thing, although perhaps we might want to be wary about locating such an institute in a major city.
This is an important point. You want some barrier to entry, while also minimizing deadweight loss from signaling / credentialing. So "you can join EA and get funding, but only if you complete a bunch of arbitrary tasks" is bad, but "you can join EA and get funding, but only if you move to this town" is pretty good!
Of course it would be nice to have an EA Hotel equivalent that is more amenable to people with visa/family/health restrictions (Especially now that the UK is not part of the EU and has Covid-related entry requirements), but I think it's a fairly good model for unblocking potential talent without throwing money around.
I imagine A < B in terms of numbers of people; and B ≈ C, given you are pre-selecting for "self-starting EAs". I think just being dedicated enough to EA to want to spend a year working on it full time is a reasonably strong signal that you would have something to contribute, given that dedication seems to require a strong understanding in the case of EA. And self-starting + dedication + a strong understanding + working full-time on trying to have impact at the margin should = impact at the margin.
Obviously there is then the important detail of how big the impact is, relative to the salary. CEEALAR tries to keep costs to a minimum as a way of raising this ratio, but it's plausible that much higher salaries (grants) could produce more impact/$.
I think more dedicated self-starting EAs should be funded to work on EA full-time. Bs can be identified by offering grants and seeing who applies (this is already happening to some degree, but could be expanded). Once identified, we vet them to try and estimate whether it's cost effective to throw a year's salary at them.
I think just being dedicated enough to EA to want to spend a year working on it full time is a reasonably strong signal that you would have something to contribute
I think being dedicated enough to EA to want to spend a year working on it full time =/= being dedicated enough to EA to actually work on it full-time with minimal management. I agree the latter is a pretty strong signal, especially if you're able to identify important things to work on. Holden's post on career choice for longtermists say that this is an important milestone for researchers:
... (read more)You’re
(Or, if it's better for EA to stay smaller, then more dedicated self-starting __s should be funded to work on __ full-time.)
Ideally, people would get the opportunity to get up to speed, "bridge the inferential gap" and get to start thinking about how to have an impact full time during their undergraduate studies. The way most university programs are set up right now, people spend years on often irrelevant content and wasteful busywork. I was thus pleased to see Ben Todd and Will MacAskill mention the idea of creating some kind of EA University during their EAG appearances.
See also my own “case for education.”
Cause if there is excess funding and less applicants, I'd assume such applicants would also get funding.
I have seen examples of this at EA Funds, but it's not clear to me whether this is being broadly deployed.
I imagine A < B in terms of numbers of people; and B ≈ C, given you are pre-selecting for "self-starting EAs". I think just being dedicated enough to EA to want to spend a year working on it full time is a reasonably strong signal that you would have something to contribute, given that dedication seems to require a strong understanding in the case of EA. And self-starting + dedication + a strong understanding + working full-time on trying to have impact at the margin should = impact at the margin.
Obviously there is then the important detail of how big the impact is, relative to the salary. CEEALAR tries to keep costs to a minimum as a way of raising this ratio, but it's plausible that much higher salaries (grants) could produce more impact/$.
I think more dedicated self-starting EAs should be funded to work on EA full-time. Bs can be identified by offering grants and seeing who applies (this is already happening to some degree, but could be expanded). Once identified, we vet them to try and estimate whether it's cost effective to throw a year's salary at them.
I think being dedicated enough to EA to want to spend a year working on it full time =/= being dedicated enough to EA to actually work on it full-time with minimal management. I agree the latter is a pretty strong signal, especially if you're able to identify important things to work on. Holden's post on career choice for longtermists say that this is an important milestone for researchers:
... (read more)