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We’re a bit less constrained by kind of generally interested, talented people, and a bit more constrained by either people who have very particular skills that are needed, such as AI technical safety, or grantmaker skill sets — the kinds of things we list on our priority problems.

Benjamin Todd

In the last ’80k team chat’ with Ben Todd and Arden Koehler, we discussed what effective altruism is and isn’t, and how to argue for it. In this episode we turn now to what the effective altruism community most needs.

According to Ben, we can think of the effective altruism movement as having gone through several stages, categorised by what kind of resource has been most able to unlock more progress on important issues (i.e. by what’s the ‘bottleneck’). Plausibly, these stages are common for other social movements as well.

  • Needing money: In the first stage, when effective altruism was just getting going, more money (to do things like pay staff and put on events) was the main bottleneck to making progress.
  • Needing talent: In the second stage, we especially needed more talented people being willing to work on whatever seemed most pressing.
  • Needing specific skills and capacity: In the third stage, which Ben thinks we’re in now, the main bottlenecks are organizational capacity, infrastructure, and management to help train people up, as well as specialist skills that people can put to work now.

What’s next? Perhaps needing coordination — the ability to make sure people keep working efficiently and effectively together as the community grows.

The 2020 Effective Altruism Survey just opened. If you’re involved with the effective altruism community, or sympathetic to its ideas, it’s a great thing to fill out.

Ben and I also cover the career implications of those stages, as well as the ability to save money and the possibility that someone else would do your job in your absence.

Get this episode by subscribing to our podcast on the world’s most pressing problems and how to solve them: type 80,000 Hours into your podcasting app. Or read the transcript below.

Producer: Keiran Harris.
Audio mastering: Ben Cordell.
Transcriptions: Zakee Ulhaq.

Highlights

Bottlenecks for the world's most pressing problems

It’s better not to think of things being generally talent constrained or not. It’s better to instead think in terms of the particular types of profiles of person that are constraining different problems. And then, yeah, we would say for most of the problems that we focus on, I mean, we partly selected them precisely for this, are very constrained by certain types of profile of person.

One we’ve given the example of in the past is in AI safety research. There’s lots of groups which have a lot of money, such as DeepMind and OpenAI and even nonprofits in the space have extra funding to hire people. And there’s lots of academic positions these days. So if you’re kind of good enough at doing that, that career path, there’s lots of groups that would fund you and it’s kind of, anyone above that threshold can usually get a job. So that seems like in that case it’s very constrained by someone who has the skills at a sufficient level to do AI technical safety research.

The outside institutions argument

This is the idea that if another person comes along who’s really motivated to work on these issues and has a really effectiveness-focused mindset but we don’t have any funding, that person can just go and work in governments. They could try and work and get funding in academia. They could go and work at another foundation and try to work on relevant issues from that foundation. They could go and work at a nonprofit.

So to some extent, there are already existing ways that you can get funding to work on these issues, at least to some extent. So this just kind of means like, well, even if very little funding was kind of directly aimed at these issues or in effective altruism we didn’t have much money, but if we had lots of great people, they could all still go and do useful things. So this is a kind of general reason why getting an extra person often seems kind of like that leads to more progress than getting an extra $100,000, which is enough to pay for one or two persons’ salaries.

The value of the most productive people

It seems like often the most skilled people in a career path or in an area have a lot more impact than the median. Let’s just take that as a given. Obviously that’s a big topic about how much people do actually differ in their productivity or output or impact in different fields.

But let’s just assume there are large differences. That can create talent constraints, if there’s some constraints on salaries, which I just kind of said, there are a bunch of constraints on salaries, like around culture and university, people being on fixed scales. And so when you do have some constraints like that, it kind of means that the most productive people get paid much less than they’re actually producing. And so then anyone extra like that is super valuable to you because they have this big, extra impact that you’re not paying for. And that kind of thing seems to create these big differences.

And it’s most obvious in something like academic research where often many researchers will be paid the exact same amounts, but it still seems like even those who are paid the same, one might be producing several times more papers than another.

And we interviewed a bunch of biomedical researchers about how much they felt talent versus funding constrained, and lots of them said, “Yeah, well I think the best researchers often produce way more,” and they didn’t say this, but effectively they have to pay them the same. So an extra person like that really contributes a lot more to their lab. So this is an argument why anyone who’s kind of unusually good at an area, we’re constrained by more people like that.

How the situation has evolved over time

Really early in the effective altruism [movement], say like in 2012, there was a bunch of interested people, but none of us really had much money. So it really did seem like an extra $100,000 would have… I mean, when we first started working at 80,000 Hours, our salary was like £15,000 a year. So an extra $100,000 could have paid four of our salaries. So that really seemed like, “Wow, we’re like very funding constrained.”

It seemed like money was much harder to come by, so therefore much more useful. But then we kind of went into the second stage where then there was Open Philanthropy and there’s other billionaires who were somewhat interested. And so like Reid Hoffman’s donated to Global Priorities Institute and a bunch of wealthy people got interested in effective altruism. Some people went to earn to give and they did well, and then they started funding organizations in the community, organizations working on these problems.

And so then although money is still a bottleneck and is always useful, it became a bit less so. And then instead there was this kind of phase when here was lots of money and not as many people around to do things. And so then there was a sense in which we were pretty constrained by maybe just this kind of general junior talented people stage. But then it seems like in the last couple of years, there has been a shift where, if you’re just fresh out of university and you don’t have any particular skills or training in these areas, it’s maybe even a little bit harder to get a job than it would have been, say, in 2016.

And so now in this third stage, we’re a bit less constrained by kind of generally interested, talented people, and a bit more constrained by either people who have very particular skills that are needed, such as we used the AI technical safety example earlier, or grantmaker skill sets, the kinds of things we list on our priority problems. Or maybe we’re more constrained now by what you might want to call an organizational bottleneck, which is the ability to figure out who’s interested. So there’s a kind of searching/vetting bottleneck, and figure out who would be able to contribute and then train them, manage them. And even just have things that lots of people could do.

Replaceability

One thing that can happen is that you might just be better at the job than the person who would have done it otherwise. And it just seems like empirically the case to me that often in hiring rounds, like for organizations in these areas, even among the top couple of candidates, there do seem to sometimes be quite large differences in how much impact they would be expected to have at the organization. And so if we think the top candidate might have like … It wouldn’t be crazy that they would have twice as much impact as the marginal candidate. In which case, at worst case replaceability would only reduce their impact by 50%.

I think the bigger point is it seems like there are often pretty big differences, even when there’s been lots of applicants. This is actually exactly what we would expect if we think people skills is again this heavy tailed or log normal distribution, you’d expect the differences among the very top people are actually larger than the differences among the median people. And so a job application round can be really competitive in the sense that hundreds of people applied, but that doesn’t necessarily mean that the top two candidates were the same.

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About the show

The 80,000 Hours Podcast features unusually in-depth conversations about the world's most pressing problems and how you can use your career to solve them. We invite guests pursuing a wide range of career paths — from academics and activists to entrepreneurs and policymakers — to analyse the case for and against working on different issues and which approaches are best for solving them.

The 80,000 Hours Podcast is produced and edited by Keiran Harris. Get in touch with feedback or guest suggestions by emailing [email protected].

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