EA is more than longtermism
Acknowledgements
A big thank you to Bruce Tsai, Shakeel Hashim, Ines, and Nathan Young for their insightful notes and additions (though they do not necessarily agree with/endorse anything in this post).
Important Note
This post is a quick exploration of the question, ‘is EA just longtermism?’ (I come to the conclusion that EA is not). This post is not a comprehensive overview of EA priorities nor does it dive into the question from every angle—it is mostly just my brief thoughts. As such, there are quite a few things missing from this post (many of the comments do a great job of filling in some gaps). In the future, maybe I’ll have the chance to write a better post on this topic (or perhaps someone else will; please let me know if you do so I can link to it here).
Also, I’ve changed the title from ‘Is EA just longtermism now?’ so my main point is clear right off the bat.
Preface
In this post, I address the question: is Effective Altruism (EA) just longtermism? I then ask, among other questions, what factors contribute to this perception? What are the implications?
1. Introduction
Recently, I’ve heard a few criticisms of Effective Altruism (EA) that hinge on the following: “EA only cares about longtermism.” I’d like to explore this perspective a bit more and the questions that naturally follow, namely: How true is it? Where does it come from? Is it bad? Should it be true?
2. Is EA just longtermism?
In 2021, around 60% of funds deployed by the Effective Altruism movement came from Open Philanthropy (1). Thus, we can use their grant data to try and explore EA funding priorities. The following graph (from Effective Altruism Data) shows Open Philanthropy’s total spending, by cause area, since 2012:
Overall, Global Health & Development accounts for the majority of funds deployed. How has that changed in recent years, as AI Safety concerns grow? We can look at this uglier graph (bear with me) showing Open Philanthropy grants deployed from January, 2021 to present (data from the Open Philanthropy Grants Database):
We see that Global Health & Development is still the leading fund-recipient; however, Risks from Advanced AI is now a closer second. We can also note that the third and fourth most funded areas, Criminal Justice Reform and Farm Animal Welfare, are not primarily driven by a goal to influence the long-term future
With this data, I feel pretty confident that EA is not just longtermism. However, it is also true (and well-known) that funding for longtermist issues, particularly AI Safety, has increased. Additionally, the above data doesn’t provide a full picture of the EA funding landscape nor community priorities. This raises a few more questions:
2.1 Funding has indeed increased, but what exactly is contributing to the view that EA essentially is longtermism/AI Safety?
(Note: this list is just an exploration and not meant to claim whether the below things are good or bad, or true)
William Macaskill’s upcoming book, What We Owe the Future, has generated considerable promotion and discussion. Following Toby Ord’s The Precipice, published in March, 2020, I imagine this has contributed to the outside perception that EA is becoming synonymous with longtermism.
The longtermist approach to philanthropy is different from mainstream, traditional philanthropy. When trying to describe a concept like Effective Altruism, sometimes the thing that most differentiates it is what stands out, consequently becoming its defining feature.
Of the longtermist causes, AI Safety receives the most funding, and furthermore, has a unique ‘weirdness’ factor that generates interest and discussion. For example, some of the popular thought experiments used to explain Alignment concerns can feel unrealistic, or something out of a sci-fi movie. I think this can serve to both: 1. draw in onlookers whose intuition is to scoff, 2. give AI-related discussions the advantage of being particularly interesting/compelling, leading to more attention.
AI Alignment is an ill-defined problem with no clear solution and tons of uncertainties: What counts as AGI? What does it mean for an AI system to be fair or aligned? What are the best approaches to Alignment research? With so many fundamental questions unanswered, it’s easy to generate ample AI Safety discussion in highly visible places (e.g. forums, social media, etc.) to the point that it can appear to dominate EA discourse.
AI Alignment is a growing concern within the EA movement, so it’s been highlighted recently by EA-aligned orgs (for example, AI Safety technical research is listed as the top recommended career path by 80,000 Hours).
Within the AI Safety space, there is cross-over between EA and other groups, namely tech and rationalism. Those who learn about EA through these groups may only interact with EA spaces focussed on AI Safety/crossing over into other groups–I imagine this shapes their understanding of EA as a whole.
For some, the recent announcement of the FTX Future Fund seemed to solidify the idea that EA is now essentially billionaires distributing money to protect the long-term future.
[Edit: There are many more factors to consider that others have outlined in the comments below :)]
2.2 Is this view a bad thing? If so, what can we do?
Is it actually a problem that some people feel EA is “just longtermism”. I would say, yes, insofar that it is better to have an accurate picture of an idea/movement versus an inaccurate one. Beyond that, such a perception may turn away people who could be convinced to work on cause areas more unrelated to longtermism, like farmed animal welfare, but would disagree with longtermist arguments. If this group is large enough, then it seems important to try and promote a clearer outside understanding of EA, allowing the movement to grow in various directions and find its different target audiences, rather than having its pieces eclipsed by one cause area or worldview.
What can we do?
I’m not sure, there are likely a few strategies (e.g. Shakeel Hashim suggested we could put in some efforts to promote older EA content, such as Doing Good Better, or organizations associated with causes like Global Health and Farmed Animal Welfare).
2.3 So EA isn’t “just longtermism,” but maybe it’s “a lot of longtermism”? And maybe it’s moving towards becoming “just longtermism”?
I have no clue if this is true, but if so, then the relevant questions are:
2.4 What if EA was just longtermism? Would that be bad? Should EA just be longtermism?
I’m not sure. I think it’s true that EA being “just longtermism” leads to worse optics (though this is just a notable downside, not an argument against shifting towards longtermism). We see particularly charged critiques like,
Longtermism is an excuse to ignore the global poor and minority groups suffering today. It allows the privileged to justify mistreating others in the name of countless future lives, when in actuality, they’re obsessed with pursuing profitable technologies that result in their version of ‘utopia’–AGI, colonizing mars, emulated minds–things only other privileged people would be able to access, anyway.
I personally disagree with this. As a counter-argument:
Longtermism, as a worldview, does not want present day people to suffer; instead, it wants to work towards a future with as much fluorishing as possible, for everyone. This idea is not as unusual as it is sometimes framed—we hear something very similar with climate change advocacy (i.e. “We need climate interventions to protect the future of our planet. Future generations could stand to suffer immensely poor environmental conditions due to our choices”). An individual or elite few individuals could twist longtermist arguments to justify poor behavior, but this is true of all philanthropy.
Finally, there are many conclusions one can draw from longtermist arguments–but the ones worth pursuing will be well thought-out. Critiques can often highlight niche tech rather than the prominent concerns held by the longtermist community at large: risks from advanced Artificial Intelligence, pandemic preparedness, and global catastrophic risks. Notably, working on these issues can often improve the lives of people living today (e.g. working towards safe advanced AI includes addressing already present issues, like racial or gender bias in today’s systems).
But back to the optics–so longtermism can be less intuitively digestible, it can be framed in a highly negative way–does that matter? If there is a strong case for longtermism, should we not shift our priorities towards it? In which case, the real question is, does the case for longtermism hold?
This leads me to the conclusion: if EA were to become “just longtermism,” that’s fine, conditional on the arguments being incredibly strong. And if there are strong arguments against longtermism, the EA community (in my experience) is very keen to hear them.
Conclusion
Overall, I hope this post generates some useful discussion around EA and longtermism. I posed quite a few questions, and offered some of my personal thoughts; however, I hold all these ideas loosely and would be very happy to hear other perspectives.
Citations
- The EA movement’s values are drifting. You’re allowed to stay put. by 24 May 2022 0:31 UTC; 136 points) (
- EA is becoming increasingly inaccessible, at the worst possible time by 22 Jul 2022 15:40 UTC; 77 points) (
- The Tree of Life: Stanford AI Alignment Theory of Change by 2 Jul 2022 18:32 UTC; 69 points) (
- Monthly Overload of EA—June 2022 by 27 May 2022 15:48 UTC; 62 points) (
- Baby Cause Areas, Existential Risk, and Longtermism by 25 May 2022 13:13 UTC; 60 points) (
- Low-key Longtermism by 25 Jul 2022 13:39 UTC; 26 points) (
- Proposal: Create A New Longtermism Organization by 7 Feb 2023 5:59 UTC; 25 points) (
- The Tree of Life: Stanford AI Alignment Theory of Change by 2 Jul 2022 18:36 UTC; 25 points) (LessWrong;
- Giving What We Can May 2022 Newsletter by 27 May 2022 3:00 UTC; 14 points) (
- 10 May 2022 13:12 UTC; 9 points) 's comment on EA and the current funding situation by (
- 16 May 2022 12:13 UTC; 8 points) 's comment on Deferring by (
- 23 May 2022 19:38 UTC; 8 points) 's comment on Yglesias on EA and politics by (
- 24 May 2022 16:14 UTC; 1 point) 's comment on Yglesias on EA and politics by (
For me, it’s been stuff like:
People (generally those who prioritize AI) describing global poverty as “rounding error”.
From late 2017 to early 2021, effectivealtruism.org (the de facto landing page for EA) had at least 3 articles on longtermist/AI causes (all listed above the single animal welfare article), but none on global poverty.
The EA Grants program granted ~16x more money to longtermist projects as global poverty and animal welfare projects combined. [Edit: this statistic only refers to the first round of EA Grants, the only round for which grant data has been published. ]
The EA Handbook 2.0 heavily emphasized AI relative to global poverty and animal welfare. As one EA commented: “By page count, AI is 45.7% of the entire causes sections. And as Catherine Low pointed out, in both the animal and the global poverty articles (which I didn’t count toward the page count), more than half the article was dedicated to why we might not choose this cause area, with much of that space also focused on far-future of humanity. I’d find it hard for anyone to read this and not take away that the community consensus is that AI risk is clearly the most important thing to focus on.” When changes to the handbook were promised in response to this type of criticism, those changes were then deprioritized and the Handbook wasn’t updated for years.
80k’s “top recommended problems” skew heavily longtermist; global health and poverty and factory farming don’t make the cut and are instead listed as “other pressing problems”
For the Community Building Grants program, “The primary metric used to assess grants at the end of the first year is the number of group members who apply for internships or graduate programs in priority areas and reach at least the interview stage… We used the 80,000 Hours list of priority paths as the basis for our list of accredited roles, but expanded it to be somewhat broader.” Since 80k’s priority paths are predominantly longtermist, groups were in large part evaluated by how many members they steered into longtermist jobs or studies.
GPI’s research agenda focuses on, and essentially assumes, longtermism
CFAR’s website went from emphasizing things like “turning cognitive science into cognitive practice”, to things like “we are focused on the existential win… we see AI safety as especially key here”
Etc.
Some things from EA Global London 2022 that stood out for me (I think someone else might have mentioned one of them):
An email to everyone promoting Will’s new book (on longtermism)
Giving out free bookmarks about Will’s book when picking up your pass.
These things might feel small but considering this is one of the main EA conferences, having the actual conference organisers associate so strongly with the promotion of a longtermist (albeit yes, also one of the main founders of EA) book made me think “Wow, CEA is really trying to push longtermism to attendees”. This seems quite reasonable given the potential significance of the book, I just wonder if CEA have done this for any other worldview-focused books recently (last 1-3 years) or would do so in the future e.g. a new book on animal farming.
Curious to get someone else’s take on this or if it just felt important in my head.
Other small things:
On the sidebar of the EA Forum, there’s three recommended articles: Replacing Guilt, the EA Handbook (which as you mentioned here, is mostly focused on longtermism) and the most important century by Holden. Again, essentially 1.5 longtermist texts to <0.5 from other worldviews.
As the main landing page for EA discussion, this also feels like a reasonably significant nudge in a specific direction.
On a somewhat related point, I do generally think there are many less ‘thought-leaders’ for global health or animal-inclusive worldviews relative to the longtermist one. For example, we have people such as Holden, Ben Todd, Will McAskill etc. who all produce reasonably frequent and great content on why longtermism is compelling, yet very few (if anyone?) is doing content creation or thought leadership on that level for neartermist worldviews. This might be another reason why longtermist content is much more frequently sign-posted too, but I’m not 100% sure on this.
[FWIW I do find longtermism quite compelling, but it also seems amiss to not mention the cultural influence longtermism has in certain EA spaces]
I don’t know, it just feels weird to focus on this point vs. other points that seem much more solid.
He’s a founder of the movement, so if he wrote a book on anything, I’m pretty sure they’d be promoting it hard as well.
Yeah, this is an excellent list. To me, the OP seems to miss the obvious the point, which is that if you look at what the central EA individuals, organisations, and materials are promoting, you very quickly get the impression that, to misquote Henry Ford, “you can have any view you want, so long as it’s longtermism”. One’s mileage may vary, of course, as to whether one thinks this is a good result.
To add to the list, the 8-week EA Introductory Fellowship curriculum, the main entry point for students, i.e. the EAs of the future, has 5 sections on cause areas, of which 3 are on longtermism. As far as I can tell, there are no critiques of longtermism anywhere, even in the “what might we be missing?” week, which I found puzzling.
[Disclosure: when I saw the Fellowship curriculum about a year ago, I raised this issue with Aaron Gertler, who said it had been created without much/any input from non-longtermists, this was perhaps an oversight, and I would be welcome to make some suggestions. I meant to make some, but never prioritised it, in large part because it was unclear to me if any suggestions I made would get incorporated.]
(Not a response to your whole comment, hope that’s OK.)
I agree that there should be some critiques of longtermism or working on X risk in the curriculum. We’re working on an update at the moment. Does anyone have thoughts on what the best critiques are?
Some of my current thoughts:
- Why I am probably not a longtermist
- This post arguing that it’s not clear if X risk reduction is positive
- On infinite ethics (and Ajeya’s crazy train metaphor)
IMO good-faith, strong, fully written-up, readable, explicit critiques of longtermism are in short supply; indeed, I can’t think of any. The three you raise are good, but they are somewhat tentative and limited in scope. I think that stronger objections could be made.
FWIW, on the EA facebook page, I raised three critiques of longtermism in response to Finn Moorhouse’s excellent recent article on the subject, but all my comments were very brief.
The first critique involves defending person-affecting views in population ethics and arguing that, when you look at the details, the assumptions underlying them are surprisingly hard to reject. My own thinking here is very influenced by Bader (2022), which I think is a philosophical masterclass, but is also very dense and doesn’t address longtermism directly. There are other papers arguing for person-affecting views, e.g. Narveson (1967) and Heyd (2012) but both are now a bit dated—particularly Narveson—in the sense they don’t respond to the more sophisticated challenges to their views that have since been raised in the literature. For the latest survey of the literature and those challenges—albeit not one sympathetic to person-affecting views—see Greaves (2017).
The second draws on a couple of suggestions made by Webb (2021) and Berger (2021) about cluelessness. Webb (2021) is a reasonably substantial EA forum post about how we might worry that, the further in the future something happens, the smaller the expected value we should assign to it, which acts as an effective discount. However, Webb (2021) is pretty non-committal about how serious a challenge this is for longtermism and doesn’t frame it as one. Berger (2021) is talking on the 80k podcasts and suggests that longtermist interventions are either ‘narrow’ (e.g. AI safety) or ‘broad’ (‘improving politics’), where the former are not robustly good, and the latter are questionably better than existing ‘near-termist’ interventions such as cash transfers to the global poor. I wouldn’t describe this as a worked-out thesis though and Berger doesn’t state it very directly.
The third critique is that, a la Torres, longtermism might lead us towards totalitarianism. I don’t think this is a really serious objection, but I would like to see longtermists engage with it and say why they don’t believe it is.
I should probably disclose I’m currently in discussion with Forethought about a grant to write up some critiques of longtermism in order to fill some of this literature gap. Ideally, I’ll produce 2-3 articles within the next 18 months.
I strongly welcome the critiques you’ll hopefully write, Michael!
Why I am probably not a longtermist seems like the best of these options, by a very wide margin. The other two posts are much too technical/jargony for introductory audiences.
Also, A longtermist critique of “The expected value of extinction risk reduction is positive” isn’t even a critique of longtermism, it’s a longtermist arguing against one longtermist cause (x-risk reduction) in favor of other longtermist causes (such as s-risk reduction and trajectory change). So it doesn’t seem like a good fit for even a more advanced curriculum unless it was accompanied by other critiques targeting longtermism itself (e.g. critiques based on cluelessness.)
The longtermist critique is a critique of arguments for a particular (perhaps the main) priority in the longtermism community, extinction risk reduction. I don’t think it’s necessary to endorse longtermism to be sympathetic to the critique. That extinction risk reduction might not be robustly positive is a separate point from the claim that s-risk reduction and trajectory changes are more promising.
Someone could think extinction risk reduction, s-risk reduction and trajectory changes are all not robustly positive, or that no intervention aimed at any of them is robustly positive. The post can be one piece of this, arguing against extinction risk reduction. I’m personally sympathetic to the claim that no longtermist intervention will look robustly positive or extremely cost-effective when you try to deal with the details and indirect effects.
The case for stable very long-lasting trajectory changes other than those related to extinction hasn’t been argued persuasively, as far as I know, in cost-effectiveness terms over, say, animal welfare, and there are lots of large indirect effects to worry about. S-risk work often has potential for backfire, too. Still, I’m personally sympathetic to both enough to want to investigate further, at least over extinction risk reduction.
The strongest academic critique of longtermism I know of is The Scope of Longtermism by GPI’s David Thorstad. Here’s the abstract:
Just saw this and came here to say thanks! Glad you liked it.
I obviously expected this comment would get a mix of upvotes and downvotes, but I’d be pleased if any of the downvoters would be kind enough to explain on what grounds they are downvoting.
Do you disagree with the empirical claim that central EAs entities promote longtermism (the claim we should give priority to improving the longterm)?
Do you disagree with the empirical claim that there is pressure within EA to agree with longtermism, e.g. if you don’t, it carries a perceived or real social or other penalty (such, as, er, getting random downvotes)?
Are my claims about the structure of the EA Introductory Fellowship false?
Is it something about what I put in the disclaimer?
The top comment:
Is a huge contribution. I supported it, it’s great. It’s obviously written by someone who leans toward non-longtermist cause areas, but somehow that makes their impartial vibe more impressive.
The person lays out their ideas and aims transparently, and I think even an strong longtermist “opponent” would appreciate it, maybe even gain some perspective of being sort of “oppressed”.
Your comment:
Your comment slots below this top comment, but doesn’t seem to be a natural reply. It is plausible you replied because you wanted a top slot.
You immediately slide into rhetoric with a quote that would rally supporters, but is unlikely to be appreciated by people who disagree with you (“you can have any view you want, so long as it’s longtermism”). That seems like something you would say at a political rally and is objectively false. This is bad.
As a positive and related to the top comment, you do add your fellowship point, and Max Dalton picks this up, which is productive (from the perspective of a proponent of non-longtermist cause areas).
But I think the biggest issue is that, for a moment, there was this thing where people could have listened.
You sort of just walked past the savasana, slouched a bit and then slugged longtermism in the gut, while the top comment was opening up the issue for thought.
The danger is that people would find this alienating in and scoring points on the internet isn’t a good thing for EA, right?
(As a side issue, I’m unsure or ambivalent if criticism specifically needs to be prescribed into introduction materials, especially as a consequence of activism by opponents. It might be the case that more room or better content for other cause areas should exist. However, prescribing or giving check boxes something rigid could just lead to a unhealthy, adversarial dynamic. But I’m really unsure and obviously the CEO of CEA takes this seriously).
Hmm. This is very helpful, thank you very much. I don’t think we’re on the same page, but it’s useful for indicating where those differences may lie.
I’m not what you mean by ‘supporters’. Supporters of what? Supporters of ‘non-longtermism’? Supporters of the view that “EA is just longtermism”? FWIW, I have a lot of respect for (very many) longtermists: I see them as seriously and sincerely engaged in a credible altruistic project, just not one I (currently?) consider the priority; I hope they would view me in the same way about my efforts to make lives happier, and that we would be able to cooperate engage in moral trade where possible.
What I am less happy is the (growing) sense that EA is only longtermism—it’s the only credible game in town—which is the subject of this post. One can be a longtermist—indeed of any moral persuasion—and object to that if you want the effective altruism community to be a pluralistic and inclusive place.
On the other hand, one could take a different, rather sneering, arrogant, and unpleasant view that longtermism is clearly true, anyone who doesn’t recognise this is just an idiot, and all those idiots should clear off. I have also encountered this perspective—far more often than I expected or hoped to.
Given all this, I find it hard to make sense of your claim I’ve
I’ve not attacked longtermism. If anything, I’m attacking the sense that only longtermists are welcome in EA—a perception based on exactly the sort of evidence raised in the top comment.
Finally, you said
Which I am almost stunned by. Criticism of EA? Criticism of longtermism? Am I an opponent of EA? That would be news to me. An introductory course on EA should include, presumably, arguments for and against the various positions one might take about how to do the most good. Everyone seems to agree that doing good is hard, and we need openness and criticism to improve what we are doing, and therefore I don’t see why you want to deliberately minimise, or refuse to include, criticism—that’s what you seem to be suggesting, I don’t know if that’s what you mean. Even an introductory course on just longtermist would, presumably cover objections to the view.
Thank you for sharing these thoughts.
I can see how the work of several EA projects, especially CEA, contributed to this. I think that some of these were mistakes (and we think some of them were significant enough to list on our website). I personally caused several of the mistakes that you list, and I’m sorry for that.
Often my take on these cases is more like “it’s bad that we called this thing “EA”″, rather than “it’s bad that we did this thing”. E.g. I think that the first round of EA Grants made some good grants (e.g. to LessWrong 2.0), but that it would have been better to have used a non-EA brand for it. I think that calling things “EA” means that there’s a higher standard of representativeness, which we sometimes failed to meet.
I do want to note that all of the things you list took place around 2017-2018[1], and our work and plans have changed since then. For instance, CBG evaluation criteria are no longer as you state, EA Grants changed a lot after the first round and was closed down around 2019, the EA Handbook is different, and effectivealtruism.org has a new design.
If you have comments about our current work, then please give us (anonymous) feedback!
As I noted in an earlier comment, I want CEA to be promoting the principles of effective altruism. We have been careful not to bake cause area preferences into our metrics, and instead to focus on whether people are thinking carefully and open-mindedly about how to help others the most.
Where we have to decide a content split (e.g. for EA Global or the Handbook), I want CEA to represent the range of expert views on cause prioritization. I still don’t think we have amazing data on this, but my best guess is that this skews towards longtermist-motivated or X-risk work (like maybe 70-80%).
I would love someone to do a proper survey of everyone (trying to avoid one’s own personal networks) who has spent >1 year thinking about cause prioritization with a scope-sensitive and open-minded lens. I’ve tried to commission someone to do this a couple of times but it hasn’t worked out. If someone did this, it would help to shape our content, so I’d be happy to offer some advice and could likely find funding. If anyone is interested, let me know!
I acknowledge that the effectivealtruism.org design was the same in 2021 as it was in 2017, but this was mostly because we didn’t have much capacity to update the site at all, so I think the thing you’re complaining about was mostly a fact about 2017.
Thank you for wanting to be principled about such an important issue. However (speaking as someone who is both very strongly longtermist and a believer of the importance of cause prioritization), a core problem with the “neutrality”/expert-views framing of this comment is selection bias. We would naively expect people who spend a lot of time on cause prioritization to systematically overrate (relative to the broader community) both the non-obviousness of the most important causes, and their esotericism.
Put another way, if you were a thoughtful, altruistic, person who heard about EA in 2013 and your first instinct was to start what would be become Wave or earn-to-give for global poverty, you’d be systematically less represented in such a survey.
Now, I happen to think focusing a lot on cause prioritization is correct: I think ethics is hard, in many weird and surprising ways. But I don’t think I can (justifiably) get this from expert appeal/deference, it all comes down to specific beliefs I have about the world and how hard it is, and to some degree making specific bets that my own epistemology isn’t completely screwed up (because if it was, I probably can’t have much of an impact anyway).
Analogously, I also think we should update approximately not at all on the existence of God if we see surveys that philosophers of religion are much more likely to believe in God than other philosophers, or if ethicists are more likely to be deontologists than utilitarians.
I agree that all sorts of selection biases are going to be at play in this sort of project: the methodology would be a minefield and I don’t have all the answers.
I agree that there’s going to be a selection bias towards people who think cause prio is hard. Honestly, I guess I also believe that ethics is hard, so I was basically assuming that worldview. But maybe this is a very contentious position? I’d be interested to hear from anyone who thinks that cause prio is just really easy.
More generally, I agree that I/CEA can’t just defer our way out of this problem or other problems: you always need to choose the experts or the methodology or whatever. But, partly because ethics seems hard to me, I feel better about something like what I proposed, rather than just going with our staff’s best guess (when we mostly haven’t engaged deeply with all of the arguments).
To be more explicit, there’s also a selection bias towards esotericism. Like how much you think most of the work is “done for you” by the rest of the world (e.g. in developmental economics or moral philosophy), versus needing to come up with the frameworks yourself.
As a side note, I think there’s an analogous selection bias within longtermism, where many of our best and brightest people end up doing technical alignment, making it harder to have clearer thinking about other longtermist issues (including issues directly related to making the development of transformative AI go well, like understanding the AI strategic landscape and AI safety recruitment strategy)
My observations about 80k, GPI, and CFAR are all ongoing (though they originated earlier). I also think there are plenty of post-2018 examples related to CEA’s work, such as the Introductory Fellowship content Michael noted (not to mention the unexplained downvoting he got for doing so), Domassoglia’s observations about the most recent EAG and EAGx (James hits on similar themes), and the late 2019 event that was framed as a “Leader’s Forum” but was actually “some people who CEA staff think it would be useful to get together for a few days” (your words) with those people skewing heavily longtermist. I think all of these things “contribute to the view that EA essentially is longtermism/AI Safety?”(though of course longtermism could be “right” in which case these would all be positive developments.)
I agree with Linch’s concern about the selection bias this might entail: “a core problem with the “neutrality”/expert-views framing of this comment is selection bias. We would naively expect people who spend a lot of time on cause prioritization to systematically overrate (relative to the broader community) both the non-obviousness of the most important causes, and their esotericism.”
Also related to selection bias: most of the opportunities and incentives to work on cause prioritization have been at places like GPI or Forethought Foundation that use a longtermist lens, making it difficult to find an unbiased set of experts. I’m not sure how to get around this issue. Even trying to capture the views of the EA community as a whole (at the expense of deferring to experts) would be problematic to the extent “mistakes” have shaped the composition of the community by making EA more attractive to longtermists and less attractive to neartermists.
I appreciate that CEA is looking to “outsource” cause prioritization in some way. I just have concerns about how this will work in practice, as it strikes me as a very difficult thing to do well.
I also strongly share this worry about selection effects. There are additional challenges to those mentioned already: the more EA looks like an answer, rather than a question, the more inclined anyone who doesn’t share that answer is simply to ‘exit’, rather than ‘voice’, leading to an increasing skew over time of what putative experts believe. A related issue is that, if you want to work on animal welfare or global development you can do that without participating in EA, which is much harder if you want to work on longtermism.
Further, it’s a sort of double counting if you consider people as experts because they work in a particular organisation when they would only realistically be hired if they had a certain worldview. If FHI hired 100 more staff, and they were polled, I’m not sure we should update our view on what the expert consensus is any more than I should become more certain of the day’s events by reading different copies of the same newspaper. (I mean no offence to FHI or its staff, by the way, it’s just a salient example).
The EA Handbook is different, but as far as I can tell the mistakes made with the Handbook 2.0 were repeated for the 3rd edition.
CEA describing those “mistakes” around the Handbook 2.0:
CEA acknowledges it was a mistake for the 2nd edition to exclude the views of large portions of the community, but frame the content as representative of EA. But the 3rd edition does the exact same thing!
As Michael relates, he observed to CEA staff that the EA Introductory Fellowship curriculum was heavily skewed toward longtermist content, and was told that it had been created without much/any input from non-longtermists. Since the Intro Fellowship curriculum is identical to the EA Handbook 3.0 material, that means non-longertermists had minimal input on the Handbook.
Despite that, the Handbook 3.0 and the Intro Fellowship curriculum (and for that matter the In-Depth EA Program, which includes topics on biorisk and AI but nothing on animals or poverty) are clearly framed as EA materials, which you say should be held to “a higher standard of representativeness” rather than CEA’s views. So I struggle to see how the Handbook 3.0 (and other content) isn’t simply repeating the mistakes of the second edition; it feels like we’re right back where we were four years ago. Arguably a worse place, since at least the Handbook 2.0 was updated to clarify that CEA selected the content and other community members might disagree.
I realize CEA posted on the Forum soliciting suggestions on what should be included in the 3rd edition and asking for feedback on an initial sequence on motivation (which doesn’t seem to have made it into the final handbook). But from Michael’s anecdote, it doesn’t sound like CEA reached out to critics of the 2nd edition or the animal or poverty communities. I would have expected those steps to be taken given the criticism surrounding the 2nd edition, CEA’s response to that criticism and its characterization of how it addressed its mistakes (“we took this [community] feedback into account when we developed the latest version of the handbook”), and how the 3rd edition is still framed as “EA” vs. “CEA’s take on EA”.
Hey, I’ve just messaged the people directly involved to double check, but my memory is that we did check in with some non-longtermists, including previous critics (as well as asking more broadly for input, as you note). (I’m not sure exactly what causes the disconnect between this and what Aaron is saying, but Aaron was not the person leading this project.) In any case, we’re working on another update, and I’ll make sure to run that version by some critics/non-longtermists.
Also, per other bits of my reply, we’re aiming to be ~70-80% longtermist, and I think that the intro curriculum is consistent with that. (We are not aiming to give equal weight to all cause areas, or to represent the views of everyone who fills out the EA survey.)
Since the content is aiming to represent the range of expert opinion in EA, since we encourage people to reflect on the readings and form their own views, and since we asked the community for input into it, I think that it’s more appropriate to call it the “EA Handbook” than the previous edition.
I don’t recall seeing the ~70-80% number mentioned before in previous posts but I may have missed it.
I’m curious to know what the numbers are for the other cause areas and to see the reasoning for each laid out transparently in a separate post.
I think that CEA’s cause prioritisation is the closest thing the community has to an EA ‘parliament’ and for that process to have legitimacy it should be presented openly and be subject to critique.
Agree! This decision has huge implications for the entire community, and should be made explicitly and transparently.
Thanks for following up regarding who was consulted on the Fellowship content.
And nice to know you’re planning to run the upcoming update by some critics. Proactively seeking out critical opinions seems quite important, as I suspect many critics won’t respond to general requests for feedback due to a concern that they’ll be ignored. Michael noted that concern, I’ve personally been discouraged from offering feedback because of it (I’ve engaged with this thread to help people understand the context and history of the current state of EA cause prioritization, not because I really expect CEA to meaningfully change its content/behavior), and I can’t imagine we’re alone in this.
Fwiw, my model of CEA is approximately that it doesn’t want to look like it’s ignoring differing opinions but that, nevertheless, it isn’t super fussed about integrating them or changing what it does.
This is my view of CEA as an organisation. Basically, every CEA staff member I’ve ever met (including Max D) has been a really lovely, thoughtful individual.
I agree with your takes on CEA as an organization and as individuals (including Max).
Personally, I’d have a more positive view of CEA the organization if it were more transparent about its strategy around cause prioritization and representativeness (even if I disagree with the strategy) vs. trying to make it look like they are more representative than they are. E.g. Max has made it pretty clear in these comments that poverty and animal welfare aren’t high priorities, but you wouldn’t know that from reading CEA’s strategy page where the very first sentence states: “CEA’s overall aim is to do the most we can to solve pressing global problems — like global poverty, factory farming, and existential risk — and prepare to face the challenges of tomorrow.”
It’s possibly worth flagging that these are (sadly) quite long-running issues. I wrote an EA forum post now 5 years ago on the ‘marketing gap’, the tension between what EA organisations present EA as being about and what those the organisations believe it should be about, and arguing they should be more ‘morally inclusive’. By ‘moral inclusive’, I mean welcoming and representing the various different ways of doing the most good that thoughtful, dedicated individuals have proposed.
This gap has since closed a bit, although not always in the way I hoped for, i.e. greater transparency and inclusiveness. As two examples, GWWC has been spun off from CEA, rebooted, and now does seem to be cause neutral. 80k is much more openly longtermist.
I recognise this is a challenging issue, but I still think the right solution to this is for the more central EA organisations to actually try hard to be morally inclusive. I’ve been really impressed at how well GWWC seem to be doing this. I think it’s worth doing this for the same reasons I gave in that (now ancient) blogpost: it reduces groupthink, increases movement size, and reduces infighting. If people truly felt like EA was morally inclusive, I don’t think this post, or any of these comments (including this one) would have been written.
Thanks for sharing that post! Very well thought out and prescient, just unfortunate (through no fault of yours) that it’s still quite timely.
Well, now that GiveWell has already put in the years of vetting work, we can reliably have a pretty large impact on global poverty just by channeling however many million to AMF + similar. And I guess, it’s not exactly that we need to do too much more than that.
While at CEA, I was asked to take the curriculum for the Intro Fellowship and turn it into the Handbook, and I made a variety of changes (though there have been other changes to the Fellowship and the Handbook since then, making it hard to track exactly what I changed). The Intro Fellowship curriculum and the Handbook were never identical.
I exchanged emails with Michael Plant and Sella Nevo, and reached out to several other people in the global development/animal welfare communities who didn’t reply. I also had my version reviewed by a dozen test readers (at least three readers for each section), who provided additional feedback on all of the material.
I incorporated many of the suggestions I received, though at this point I don’t remember which came from Michael, Sella, or other readers. I also made many changes on my own.
It’s reasonable to argue that I should have reached out to even more people, or incorporated more of the feedback I received. But I (and the other people who worked on this at CEA) were very aware of representativeness concerns. And I think the 3rd edition was a lot more balanced than the 2nd edition. I’d break down the sections as follows:
“The Effectiveness Mindset”, “Differences in Impact”, and “Expanding Our Compassion” are about EA philosophy with a near-term focus (most of the pieces use examples from near-term causes, and the “More to Explore” sections share a bunch of material specifically focused on anima welfare and global development).
“Longtermism” and “Existential Risk” are about longtermism and X-risk in general.
“Emerging Technologies” covers AI and biorisk specifically.
These topics get more specific detail than animal welfare and global development do if you look at the required reading alone. This is a real imbalance, but seems minor compared to the imbalance in the 2nd edition. For example, the 3rd edition doesn’t set aside a large chunk of the only global health + development essay for “why you might not want to work in this area”.
“What might we be missing?” covers a range of critical arguments, including many against longtermism!
Michael Plant seems not to have noticed the longtermism critiques in his comment, though they include “Pascal’s Mugging” in the “Essentials” section and a bunch of other relevant material in the “More to Explore” section.
“Putting it into practice” is focused on career choice and links mostly to 80K resources, which does give it a longtermist tilt. But it also links to a bunch of resources on finding careers in neartermist spaces, and if someone wanted to work on e.g. global health, I think they’d still find much to value among those links.
I wouldn’t be surprised if this section became much more balanced over time as more material becomes available from Probably Good (and other career orgs focused on specific areas).
In the end, you have three “neartermist” sections, four “longtermist” sections (if you count career choice), and one “neutral” section (critiques and counter-critiques that span the gamut of common focus areas).
Thanks for sharing this history and your perspective Aaron.
I agree that 1) the problems with the 3rd edition were less severe than those with the 2nd edition (though I’d say that’s a very low bar to clear) and 2) the 3rd edition looks more representative if you weigh the “more to explore” sections equally with “the essentials” (though IMO it’s pretty clear that the curriculum places way more weight on the content it frames as “essential” than a content linked to at the bottom of the “further reading” section.)
I disagree with your characterization of “The Effectiveness Mindset”, “Differences in Impact”, and “Expanding Our Compassion” as neartermist content in a way that’s comparable to how subsequent sections are longtermist content. The early sections include some content that is clearly neartermist (e.g. “The case against speciesism”, and “The moral imperative toward cost-effectiveness in global health”). But much, maybe most, of the
“essential” reading in the first three sections isn’t really about neartermist (or longtermist) causes. For instance, “We are in triage every second of every day” is about… triage. I’d also put “On Fringe Ideas”, “Moral Progress and Cause X”, “Can one person make a difference?”, “Radical Empathy”, and “Prospecting for Gold” in this bucket.
By contrast, the essential reading in the “Longtermism”, “Existential Risk”, and “Emerging technologies” section is all highly focused on longtermist causes/worldview; it’s all stuff like “Reducing global catastrophic biological risks”, “The case for reducing existential risk”, and “The case for strong longtermism”.
I also disagree that the “What we may be missing?” section places much emphasis on longtermist critiques (outside of the “more to explore” section, which I don’t think carries much weight as mentioned earlier). “Pascal’s mugging” is relevant to, but not specific to, longtermism, and “The case of the missing cause prioritization research” doesn’t criticize longtermist ideas per se, it more argues that the shift toward prioritizing longtermism hasn’t been informed by significant amounts of relevant research. I find it telling that “Objections to EA” (framed as a bit of a laundry list) doesn’t include anything about longtermism and that as far as I can tell no content in this whole section addresses the most frequent and intuitive criticism of longtermism I’ve heard (that it’s really really hard to influence the far future so we should be skeptical of our ability to do so).
Process-wise, I don’t think the use of test readers was an effective way of making sure the handbook was representative. Each test reader only saw a fraction of the content, so they’d be in no position to comment on the handbook as a whole. While I’m glad you approached members of the animal and global development communities for feedback, I think the fact that they didn’t respond is itself a form of (negative) feedback (which I would guess reflects the skepticism Michael expressed that his feedback would be incorporated). I’d feel better about the process if, for example, you’d posted in poverty and animal focused Facebook groups and offered to pay people (like the test readers were paid) to weigh in on whether the handbook represented their cause appropriately.
I’ll read any reply to this and make sure CEA sees it, but I don’t plan to respond further myself, as I’m no longer working on this project.
Thanks for the response. I agree with some of your points and disagree with others.
To preface this, I wouldn’t make a claim like “the 3rd edition was representative for X definition of the word” or “I was satisfied with the Handbook when we published it” (I left CEA with 19 pages of notes on changes I was considering). There’s plenty of good criticism that one could make of it, from almost any perspective.
I agree.
Many of these have ideas that can be applied to either perspective. But the actual things they discuss are mostly near-term causes.
“On Fringe Ideas” focuses on wild animal welfare.
“We are in triage” ends with a discussion of global development (an area where the triage metaphor makes far more intuitive sense than it does for longtermist areas).
“Radical Empathy” is almost entirely focused on specific neartermist causes.
“Can one person make a difference” features three people who made a big difference — two doctors and Petrov. Long-term impact gets a brief shout-out at the end, but the impact of each person is measured by how many lives they saved in their own time (or through to the present day).
This is different from e.g. detailed pieces describing causes like malaria prevention or vitamin supplementation. I think that’s a real gap in the Handbook, and worth addressing.
But it seems to me like anyone who starts the Handbook will get a very strong impression in those first three sections that EA cares a lot about near-term causes, helping people today, helping animals, and tackling measurable problems. That impression matters more to me than cause-specific knowledge (though again, some of that would still be nice!).
However, I may be biased here by my teaching experience. In the two introductory fellowships I’ve facilitated, participants who read these essays spent their first three weeks discussing almost exclusively near-term causes and examples.
I agree that the reading in these sections is more focused. Nonetheless, I still feel like there’s a decent balance, for reasons that aren’t obvious from the content alone:
Most people have a better intuitive sense for neartermist causes and ideas. I found that longtermism (and AI specifically) required more explanation and discussion before people understood them, relative to the causes and ideas mentioned in the first three weeks. Population ethics alone took up most of a week.
“Longtermist” causes sometimes aren’t. I still don’t quite understand how we decided to add pandemic prevention to the “longtermist” bucket. When that issue came up, people were intensely interested and found the subject relative to their own lives/the lives of people they knew.
I wouldn’t be surprised if many people in EA (including people in my intro fellowships) saw many of Toby Ord’s “policy and research ideas” as competitive with AMF just for saving people alive today.
I assume there are also people who would see AMF as competitive with many longtermist orgs in terms of improving the future, but I’d guess they aren’t nearly as common.
I don’t think I’ve seen Pascal’s Mugging discussed in any non-longtermist context, unless you count actual religion. Do you have an example on hand for where people have applied the idea to a neartermist cause?
I agree. I wouldn’t think of that piece as critical of longtermism.
I haven’t gone back to check all the material, but I assume you’re correct. I think it would be useful to add more content on this point.
This is another case where my experience as a facilitator warps my perspective; I think both of my groups discussed this, so it didn’t occur to me that it wasn’t an “official” topic.
I agree. That wasn’t the purpose of selecting test readers; I mentioned them only because some of them happened to make useful suggestions on this front.
I wrote to four people, two of whom (including Michael) sent useful feedback . The other two also responded; one said they were busy, the other seemed excited/interested but never wound up sending anything.
A 50% useful-response rate isn’t bad, and makes me wish I’d sent more of those emails. My excuse is the dumb-but-true “I was busy, and this was one project among many”.
(As an aside, if someone wanted to draft a near-term-focused version of the Handbook, I think they’d have a very good shot at getting a grant.)
I’d probably have asked “what else should we include?” rather than “is this current stuff good?”, but I agree with this in spirit.
(As another aside, if you specifically have ideas for material you’d like to see included, I’d be happy to pass them along to CEA — or you could contact someone like Max or Lizka.)
That’s helpful anecdata about your teaching experience. I’d love to see a more rigorous and thorough study of how participants respond to the fellowships to see how representative your experience is.
I’m pretty sure I’ve heard it used in the context of a scenario questioning whether torture is justified to stop the threat dirty bomb that’s about to go off in a city.
That’s a good excuse :) I misinterpreted Michael’s previous comment as saying his feedback didn’t get incorporated at all. This process seems better than I’d realized (though still short of what I’d have liked to see after the negative reaction to the 2nd edition).
GiveWell’s Giving 101 would be a great fit for global poverty. For animal welfare content, I’d suggest making the first chapter of Animal Liberation part of the essential content (or at least further reading), rather than part of the “more to explore” content. But my meta-suggestion would be to ask people who specialize in doing poverty/animal outreach for suggestions.
Did subsequent rounds of EA Grants give non-trivial amounts to animal welfare and/or global poverty? What percentage of funding did these cause areas receive, and how much went to longtermist causes? Only the first round of grants was made public.
I did more research here and talked to more people, and I think that 60% is closer to the right skew here. (I also think that there are some other important considerations that I don’t go into here.) I still endorse the other parts of this comment (apart from the 70-80% bit).
This account has some of the densest and most informative writing in the forum, here’s another comment
(The comment describes CEA in a previous era. It seems the current CEA has different leadership and should be empowered and supported).
Thank you! I really appreciate this comment, and I’m glad you find my writing helpful.
Thank you, I really appreciate the breadth of this list, it gives me a much stronger picture of the various ways a longtermist worldview is being promoted.
We’ve now released a page on our website setting out our approach to moderation and content curation, which relates somewhat to this comment. Please feel free to share any feedback in comments or anonymously.
This seems wrong to me. The LTFF and the EAIF don’t get 16x the money that the Animal Welfare and Global Health and Development funds get. Maybe you meant to say that the EAIF has granted 16x more money to longtermist projects?
I think EA Grants is different from EA Funds. EA Grants was discontinued a while back—https://www.effectivealtruism.org/grants
Oh, I get it now. That seems like a misleading summary, given that that program was primarily aimed at EA community infrastructure (which received 66% of the funding), the statistic cited here is only for a single grants round, and one of the five concrete examples listed seems to be a relatively big global poverty grant.
I still expect there to be some skew here, but I would take bets that the actual numbers for EA Grants look substantially less skewed than 1:16.
IMO the share of grants going to community infrastructure isn’t particularly relevant to the relative shares received by longterm and nearterm projects. But I’ll edit my post to note that the stat I cite is only from the first round of EA Grants since that’s the only round for which data was ever published.
Could you please clarify what you mean by this? I linked to an analysis listing written descriptions of 6 EA Grants made after the initial round, for which grant sizes were never provided. One of those (to Charity Entrepreneurship) could arguably be construed as a global poverty grant, though I think it’d be more natural to categorize it as meta/community (much as how I think it was reasonable that the grant you received to work on LessWrong2.0, the largest grant of the first round, was classified as a community building grant rather than a longtermist grant.)
In any case, the question of what causes the EA Grant program supported is an empirical one that should be easy to answer. I’ve already asked for data on this, and hope that CEA publishes it so we don’t have to speculate.
Yeah, the Charity Entrepreneurship grant is what I was talking about. But yeah, classifying that one as meta isn’t crazy to me, though I think I would classify it more as Global Poverty (since I don’t think it involved any general EA community infrastructure).
I think it’s important to frame longtermism as particular subset of EA. We should be EAs first and longtermists second. EA says to follow the importance-tractability-crowdedness framework, and allocate funding to the most effective causes. This can mean funding longtermist interventions, if they are the most cost-effective. If longtermist interventions get a lot of funding and hit diminishing returns, then they won’t be the most cost-effective anymore. The ITC framework is more general than the longtermist framing of “focus on the long-term future”, and allows us to pivot as funding and tractability changes.
I’m really hoping we can get some better data on resource allocation and estimated effectiveness to make it clearer when funders or individuals should return to focusing on global poverty etc.
There’s a few projects in the works for “ea epistemic infrastructure”
Do you have any more info on these “epistemic infrastructure” projects or the people working on them? I would be super curious to look into this more.
For an overview of most of the current efforts into “epistemic infrastructure”, see the comments on my recent post here https://forum.effectivealtruism.org/posts/qFPQYM4dfRnE8Cwfx/project-a-web-platform-for-crowdsourcing-impact-estimates-of
Same here.
For an overview of most of the current efforts into “epistemic infrastructure”, see the comments on my recent post here https://forum.effectivealtruism.org/posts/qFPQYM4dfRnE8Cwfx/project-a-web-platform-for-crowdsourcing-impact-estimates-of
I basically agree with your comment, but wanted to emphasize the part I disagree with:
EA is about prioritising in order to (try to) do the most good. The ITN framework is just a heuristic for that, which may very well be wrong in many places; and funding is just one of the resources we can use.
I claim that the ITC framework is not just a heuristic, but captures precisely what we mean by “do the most good”. And I agree, ‘funding’ should be interpreted broadly to include all EA resources (eg. money, labor hours, personal connections, etc).
On one hand it’s clear that global poverty does get the most overall EA funding right now, but it’s also clear that it’s more easy for me to personally get my 20th best longtermism idea funded than to get my 3rd best animal idea or 3rd best global poverty idea funded and this asymmetry seems important.
Do you think that’s a factor of: how many places you could apply for longtermist vs. other cause area funding? How high the bar is for longtermist ideas vs. others? Something else?
I think it’s a factor of global health being already allocated to much more scalable opportunities than exist in longtermism, whereas the longtermists have a much smaller amount of funding opportunities to compete for. EA individuals are the main source of longtermist opportunities and thus we get showered in longtermist money but not other kinds of money.
Animals is a bit more of a mix of the two.
Thanks for posting! My current belief is that EA has not become purely about longtermism. In fact, recently it has been argued in the community that longtermism is not necessary to pursue the kind of things we currently do, as pandemics or AI Safety can also be justified in terms of preventing global catastrophes.
That being said, I’d very much prefer the EA community bottom line to be about doing “the most good” rather than subscribing to longtermism or any other cool idea we might come up with. These are all subject to change and debate, whether doing the most good really shouldn’t.
Additionally, it might be worth highlighting, especially when talking with unfamiliarized people, that we deeply care about all present people suffering. Quoting Nate Soares:
In general it doesn’t seem logical to me to bucket cause areas as either “longtermist” or “neartermist”.
I think this bucketing can paint an overly simplistic image of EA cause prioritization that is something like:
Are you longtermist?
If so, prioritize AI safety, maybe other x-risks, and maybe global catastrophic risks
If not, prioritize global health or factory farming depending on your view on how much non-human animals matter compared to humans
But really the situation is way more complicated than this, and I don’t think the simplification is accurate enough to be worth spreading.
There was a time when I thought ending factory farming was highest priority, motivated by a longtermist worldview
There was also a time when I thought bio-risk reduction was highest priority, motivated by a neartermist worldview
(now I think AI-risk reduction is highest priority regardless of what I think about longtermism)
When thinking through cause prioritization, I think most EAs (including me) over-emphasize the importance of philosophical considerations like longtermism or speciesism, and under-emphasize the importance of empirical considerations like AI timelines, how much effort it would take to make bio-weapons obsolete or what diseases cause the most intense suffering.
Agreed! And we should hardly be surprised to see such a founder effect, being that EA was started by philosophers and philosophy fans.
Open philanthropy is not the only grantmaker in the EA Space! If you add the FTX Community, FTX Future Fund, EA Funds etc. my guess would be that it recently made a large shift towards longtermism, primarily due to the Future fund being so massive.
I also want to emphasize that many central EA Organisations are increasingly focused on longtermist concerns, and not as transparent about it as I would like for them to be. People and organisations should not pretend to care about things they do not for the sake of optics. One of EA’s most central tenets is to hold truth at a very high regard. Being transparent about what we believe is necessary to do so.
I think there are a few pitfalls EA can fall into by its increasing focus on longtermism, but by and large people are noticing these and actively discussing them. This is a good sign! I’m a bit worried if many longtermists entirely stop caring about global poverty and animal suffering. Having a deep intuition that losing your parent to malaria is a horrible thing for a child to go through and that you can prevent it, is a very healthy sanity check.
I think the best strategy for ‘hardcore’ longtermists may very well be to do a bit of both, not because of optics but because regularly working on things with tight feedback loops reminds you just how difficult even well-defined objectives can be to achieve. That said there is enormous value in specialisation, so I’m not sure what the exact optimal trade-off is.
I think starting in 2022 this will be true in aggregate – as you say largely because of the FTX Future Fund.
However, for EA Funds specifically, it might be worth keeping in mind that the Global Health and Development Fund has been the largest of the four funds by payout amount, and by received donations even is about as big as all other funds combined.
In my view, there is some defining tension in rationalist and EA thought regarding epistemic vs. instrumental emphasis on truth: adopting a mindset of rationality/honesty is probably a good mindset—especially to challenge biases and set community standards—but it’s ultimately for instrumental purposes (although, for instrumental purposes, it might be better to think of your mindset as one of honesty/rationality, recursivity problems aside). I don’t think there is much conflict at the level of “lie about what you support”: that’s obviously going to be bad overall. But there are valid questions at the level of “how straightforward/consistent should I be about the way all near-termist cause areas/effects pale in comparison to expected value from existential risk reduction?” It might be the case that it’s obvious that certain health and development causes fail to compare on a long-term scale, but that doesn’t mean heavily emphasizing that is necessarily a good idea, for community health and other reasons like you mention.
Two points to add re: the cultural capture of longtermism in EA:
A count of topics at EAG and EAGx’s from this year show a roughly 3:1 AI/longtermist to anything else ratio
All attendees of EAGx’s received an official email asking them to pre-order Will MacAskill’s “What We Owe The Future,” a 350 page longtermist tome, with the urging: “Early pre-orders are important because they help the book reach more people!”
I’m not sure where to find agendas for past EAGx events I didn’t attend. But looking at EAG London, I get a 4:3 ratio for LT/non-LT (not counting topics that fit neither “category”, like founding startups):
LT
“Countering weapons of mass destruction”
“Acquiring and applying information security skills for long-term impact”
“How to contribute to the UN’s ‘Our Common Agenda’ report” (maybe goes in neither category? Contributions from EA people so far have been LT-focused, but I assume the process is the same for anything someone wants to add)
“Exploring AI Futures with Role Play”
“Speed meeting + discussion: biosecurity and engineering interventions”
“Ambitious thinking in longtermist community building”
“What’s new in biosecurity? Concepts and priorities for the coming decade”
“Transformer interpretability tool walk-through”
“Longtermist talent search”
“Workshop: New research topics in global priorities research” (maybe goes in neither category, most speakers from LT-focused orgs but topics were broad/varied)
“So, how freaked out should we be about AI?”
“Workshop: Possible research projects for AI safety”
Non-LT
“Dispensers for Safe Water Experiments”
“Community Event: Alt Proteins”
“The state of aquatic animal advocacy”
“Workshop: Wild animal advocacy”
“Workshop: The international development sector should be much better at learning”
“Are you a good fit for nonprofit entrepreneurship?” (talk by Charity Entrepreneurship, I assume it was non-LT-focused)
“The changing landscape of climate and energy and its implications for high-impact climate philanthropy” (maybe goes in neither category, but feels pretty distinct from what people mostly think about when they discuss LT in EA)
“How to present big ideas and complex data to the public”, Our World in Data (maybe goes in neither category?)
“Community Event: EA Africa” (maybe goes in neither category, but I’d guess that community building in Africa ends up leading to a lot of additional staff/projects in the global dev/animal welfare spaces relative to LT spaces)
Note that I’ve focused on talks and events rather than office hours, since the latter feel more like meetings than “official topics” to me. The split didn’t seem very different for the latter two.
I don’t know whether there’s a public agenda I can link to, but let me know if you think I’m missing or miscategorizing something.
(I also remain confused as to whether things like bio or nuclear war actually fit cleanly into longtermism or whether their “focus” is best thought of as split between LT/non-LT, these are not natural categories.)
I think that longtermism has grown very dramatically, but that it is wrong to equate it with EA (both as a matter of accurate description and for strategic reasons, as are nicely laid out in the above post).
I think the confusion here exists in part because the “EA vanguard” has been quite taken up with longtermism and this has led to people seeing it as more prominent in EA than it actually is. If you look to organizations like The Life You Can Save or Giving What We Can, they either lead with “global health and wellbeing”-type cause areas or focus on that exclusively. I don’t mean to say that this is good or bad, just that EA is less focused on longtermism than people might think based on elite messaging. IIRC this is affirmed by past community surveys.
Personally, I think OpenPhil’s worldview diversification is as good an intellectual frame for holding all this together as I’ve seen. We all get off the “crazy train” at some point, and those who think they’ll be hardcore and bite all bullets eventually hit something like this.
This is somewhat less true when one looks at the results across engagement levels. Among the less engaged ~50% of EAs (levels 1-3), neartermist causes are much more popular than longtermism. For level 4⁄5 engagement EAs, the average ratings of neartermist, longtermist and meta causes are roughly similar, though with neartermism a bit lower. And among the most highly engaged EAs, longtermist and meta causes are dramatically more popular than neartermist causes.
Descriptively, this adds something to the picture described here (based on analyses we provided), which is that although the most engaged level 5 EAs are strongly longtermist on average, the still highly engaged level 4s are more mixed. (Level 5 corresponds to roughly EA org staff and group leaders, while level 4 is people who’ve “engaged extensively with effective altruism content (e.g. attending an EA Global conference, applying for career coaching, or organizing an EA meetup).”
One thing that does bear emphasising is that even among the most highly engaged EAs, neartermist causes do not become outright unpopular in absolute terms. On average they are rated around the midpoint as “deserv[ing] significant resources.” I agree this may not (seem to be) reflected in elite recommendations about what people should support on the margins though.
This is a really helpful chart and has updated my model of the community more than any of the written comments.
For a community of data nerds, it’s surprising that we don’t use data visualisations in our Forum comments more regularly.
Do you have data on the trends over time? I’m interested to know if the three attributes are getting closer together or further apart at both ends of the engagement spectrum.
My hypothesis is that the attributes will be getting closer together at low levels of engagement and getting further apart at the higher levels.
Thanks for the nice comment!
We only have a little data on the interaction between engagement and cause preference over time, because we only had those engagement measures in the EA Survey in 2019 and 2020. We were also asked to change some of the cause categories in 2020 (see Appendix 1), so comparisons across the years are not exact.
Still, just looking at differences between those two years, we see the patterns are broadly similar. True to your prediction, longtermism is slightly higher among the less engaged in 2020 than 2019, although the overall interaction between engagement, cause prioritisation and year is not significant (p=0.098). (Of course, differences between 2019 and 2020 need not be explained by particular EAs changing their views (they could be explained by non-longtermists dropping out, or EAs with different cause preferences being more/less likely to become more engaged between 2019 and 2020)).
Thanks David! I won’t update much on this given the small amount of data but this seems like an important area for CEA to be tracking in terms of their recruitment, retention, and diversity goals.
For considering “recruitment, retention, and diversity goals” I think it may also be of interest to look at cause preferences across length of time in EA, across years. Unlike in the case of engagement, we have length of time in EA data across every year of the EA Survey, rather than just two years.
Although EAS 2017 messes up what is otherwise a beautifully clear pattern*, we can still quite clearly see that:
On average people start out (0 years) in EA favouring neartermist causes and gradually cohorts become more longtermist. (Note that this is entirely compatible with non-longtermists dropping out, rather than describing individual change: though we know many individuals do change cause prioritization, predominantly in a longtermist direction.)
Each year (going up the graph vertically) has gradually become more longtermist even among people who have only been EA 0 years. Of course, this could partly be explained by non-longtermists dropping out within their first year of hearing about EA, but it could also reflect EA recruiting progressively more longtermist people.
We can also descriptively see that the jump between 2015 and 2018-2020 is quite dramatic. In 2015 all cohorts of EA (however long they’d been in EA) were strongly near-termist leaning. By 2018-2020, even people who’d just joined of EA were dramatically more favourable to longtermism. And by 2020, even people who had been in EA a couple of years were on average roughly equally longtermist/neartermist leaning and beginning to be on average longtermist leaning.
* EAS 2017 still broadly shows the same pattern until the oldest cohorts (those who have been in EA the longest, which have a very low sample size). In addition, as Appendix 1 shows, while EAS 2018-2020 have very similar questions, EAS 2015-2017 included quite different options in their questions.
I’ve included a plot excluding EAS 2017 below, just so people can get a clearer look at the most recent years, which are more comparable to each other.
I learned a lot from reading this post and some of the top comments, thanks for the useful analysis.
Throughout the post and comments people are tending to classify AI safety as a “longtermist” cause. This isn’t wrong, but for anyone less familiar with the topic, I just want to point out that there are many of us who work in the field and consider AI to be a near-to-medium term existential risk.
Just in case “longtermism” gave anyone the wrong impression that AI x-risk is something we definitely won’t be confronted with for 100+ years. Many of us think it will be much sooner than that (though there is still considerable uncertainty and disagreement about timelines).
See the related post “Long-Termism” vs. “Existential Risk” by Scott Alexander.
I think there’s some confusion in Scott’s post and the ensuing discussion. Both “longtermism” and “existential risk” make reference to the long-term future; the latter does so because “existential risk” means “risk to humanity’s long-term potential”. On the other hand, threats to this potential can be located in both the near-term and the long-term. But a longtermist is not, as such, any less concerned about near-term risks to humanity’s long-term potential than an existential risk reducer. So the “longtermism vs existential risk” debate seems entirely orthogonal to the “near-term vs long-term risk” debate: if one thinks we should be framing AI as something that “may kill you and everybody else”, rather than as a threat to our long-term future, one should probably avoid either “longtermism” or “existential risk”, and instead use something like “imminent risk of human extinction”.
(The confusion is in part caused by the similarity of the terms “existential” and “extinction”, which causes many people, including some EAs and rationalists, to use the former as a synonym for the latter. But it’s also caused by a failure to distinguish clearly between the two different temporal dimensions involved: the short-term location of the threat to our potential vs. the long-term location of the potential under threat.)
My view is that more traditional philanthropic targets make for a much easier sell, so GiveWell style messaging is going to reach/convince way more people than longtermist or x-risk messaging.
So you’ll probably have way, way more people who are interested in EA on the global poverty and health side. I still only donate my pledge money to AMF, plus $100 a month extra to animal welfare, despite being somewhat involved in longtermist/x-risk stuff professionally (and pretty warm on these projects beyond my own involvement).
That being said, for some people EA is their primary social peer group. These people also tend to be highly ambitious. That’s a recipe for people trying really hard to figure out what’s the most prized, and orienting toward that. So there’s lots of buzz around longtermism, despite the absolute numbers in the longtermist direction (people, clicks, eyeballs, money) being lower than those for more traditional, popular interventions.
This is a bit misleading. Some longtermists, myself included, prioritizing minimizing suffering in the future. But this is definitely not a consensus among longtermists, and many popular longtermist interventions will probably increase future suffering (by increasing future sentient life, including mostly-happy lives, in general).
Reading this post after going through funding options, I notice that:
There are many more avenues for funding long-termism projects than neartermism ones. GiveWell holds almost a monopoly and is not set up to fund the full spectrum of opportunities. For example:
no funding for neartermism-specific community building
no funding for alternative paradigms (economic growth, scientific research, improving institutional decision making, subjective well-being)
no career support
no support for smaller projects that aren’t explicitly aiming to become a charity
As a result, I think many junior EAs really drift towards long-termism because that’s where the funding is.
I don’t know how much of OpenPhil’s neartermism funding is informed by GiveWell, or how OpenPhil decides on neartermism funding outside of GiveWell.
Writing this all up, makes me tentatively believe it’s a mistake to delegate the Global Health & Well-being fund to GiveWell, and that the neartermism funding space needs development.
It’s also possible that I’m wrong about the above. In that case, I still expect many people to share my perception of the neartermism space. This perception probably contributes to the view that ‘EA is currently primarily about long-termism’.
The EAIF funds many of the things you listed and Peter Wildeford has been especially interested in making them happen! Also, the Open Phil GHW team is expanding a lot and has been funding several excellent grants in these areas.
That said, I agree with the overall sentiment you expressed and definitely think there’s something there.
One effect is also: there’s not so much proactive encouragement to apply for funding with neartermist projects, which results in fewer things getting funded, with results in people assuming that there’s no funding, even though sometimes funders are quite open to funding the kinds of things you mention.
I do think there are opportunities that GiveWell is missing, but then again I’ve found it hard to find grantmakers who would actually do better than them.
Are there any amateur EA historians who can help explain how longtermism grew in importance/status? I’d say 80k for instance is much more likely now to encourage folks to start a longtermist org than a global health org. There is lots of funding still moving towards the traditional neartermist causes like malaria and deworming, but not too much funding encouraging people to innovate there (or start another AMF).
Ultimately, I’m curious which person or orgs got convinced about longtermism first! It feels much more driven by top-down propagation than a natural evolution of an EA idea.
Holden Karnofsky wrote in 2016 how his personal thinking evolved on topics that heavily overlap with longtermism and how that was a major factor in Open Phil deciding to work on them:
In short: OpenPhil gave half a billion towards global health and development in 2021. So it isn’t just long-termism, but long-termism in increasing in influence within EA.
I intend to run a Polis poll to try and help us process this and see if there are interesting community trades that can be made. Anyone got suggestions for seed questions?
What’s a ‘trade’?
Animal welfare isn’t my top priority but I try and eat vegan to signal its importance to non-EAs and signal my solidarity with animal welfare EAs. Likewise when I talk about how good GiveWell is, because it is. Others can trade by understanding my cause areas and finding cheap ways to tell others about them.
I would imagine if you look at number of jobs in EA that focus on longtermism vs Global health & Development, the picture would be more skewed towards longtermism relatively to funding.
I expected you to be right, but when I looked on the 80k job board right now of the 962 roles: 161 were in AI, 105 were in pandemics, and 308 were in global health and development. Hard to say exactly how that relates to funding, but regardless I think it shows development is also a major area of focus when measured by jobs instead of dollars.
Thanks for sharing the job counts, that’s interesting data. But I also think it’s important to note how those jobs are framed on the job board. The AI and pandemic jobs are listed as “top recommended problems”, while the global health jobs are listed as “other pressing problems” (along with jobs related to factory farming).
I completely agree.
Late reply here but I think a potential difference is that the global health and development jobs attract significantly more non-EA applicants than the AI and pandemics jobs.
So if we are talking about EA shifting away from global health, maybe it is more about the number of EA-aligned individuals applying to global health and development jobs vs longtermist jobs.
The 80K board is an understandable proxy for “jobs in EA”. But that description can be limiting.
Many non-student EA Global attendees had jobs at organizations that most wouldn’t label “EA orgs”, and that nevertheless fit the topics of the conference.
Examples:
The World Bank
Schmidt Futures
Youth for the Treaty on the Prohibition of Nuclear Weapons
UK Department of Health and Social Care
US Treasury Department
House of Commons
Development Innovation Lab
A bunch of think tanks
Some of these might have some of their jobs advertised by 80K, but there are also tons of jobs at those places that wouldn’t make the 80K job board* but that nevertheless put people in an excellent position to make an impact across any number of areas. And because global development is bigger than all the LT areas put together**, I expect there to be many more jobs on the non-LT side in this category.
*Not necessarily because 80K examined them and found them wanting, but as (I’d expect) a practical matter — there are 157 open jobs at the World Bank right now, and I wouldn’t expect 80K to evaluate all of them (or turn the World Bank into 15% of the whole job board).
**Other than biosecurity, maybe? As a quick sanity-check, USAID’s budget is ~4x the CDC budget, results may vary across countries and international institutions.
Frances, your posts are always so well laid out with just the right amount of ease-of-reading colloquialism and depth of detail. You must teach me this dark art at some point!
As for the content of the post itself, it’s funny that recently the two big criticisms of longermism in EA are that EA is too longtermist and that EA isn’t longtermist enough! I’ve always thought that means it’s about right, haha. You can’t keep everyone happy all of the time.
I’m one of those people you mention who only really interacts with the longtermist side of EA because it meshes well with my area of expertise, but to be honest I feel it’s about right at present. If EA were to become all-longtermist I think it would be a bit of an over-correction and we need other philosophies too in order to keep a broad palette, but if it did happen and if there was good reason for it—I’d get over it.
In regards to:
My one criticism of current longtermist thought is that sometimes people excluse short-term actions because it’s not ‘longtermist enough’ , eg. creating fertile ground for positive future actions, but this is potentially just in my sphere and isn’t representative of the greater philosophy. I just know from conversations I’ve had that some people are of the opinion that it’s the ‘big win in 50 years time’ or nothing at all, and don’t like the idea of positive short-term baby steps towards aligning a longterm future. However, the literature is fine with this and it seems to just be some people who aren’t, so perhaps it’s the company I keep :) You’re right though in that the worldview itself addresses this.
Great post!
Luke, thank you for always being so kind :)) I very much appreciate you sharing your thoughts!!
“sometimes people exclude short-term actions because it’s not ‘longtermist enough’”
That’s a really good point on how we see longtermism being pursued in practice. I would love to investigate whether others are feeling this way. I have certainly felt it myself in AI Safety. There’s some vague sense that current-day concerns (like algorithmic bias) are not really AI Safety research. Although I’ve talked to some who think addressing these issues first is key in building towards alignment. I’m not even totally sure where this sense comes from, other than that fairness research is really not talked about much at all in safety spaces.
Glad you brought this up as it’s definitely important to field/community building.
Now don’t go setting me off about this topic! You know what I’m like. Suffice to say I think combatting social issues like algorithmic bias are potentially the only way to realistically begin the alignment process. Build transparency etc. But that’s a conversation for another post :D
So EA isn’t “just longtermism,” but maybe it’s “a lot of longtermism”? And maybe it’s moving towards becoming “just longtermism”?
EA has definitely been moving towards “a lot of longtermism”.
The OP has already provided some evidence of this with funding data. Another thing that signals to me that this is happening is the way 80k hours has been changing their career guide. Their earlier career guide started by talking about Seligmann’s factors/Positive Psychology and made the very simple claim that if you want a satisfying career, positive psychology says your life must involve an aspect of helping others in a meaningful way. Then one fine day they made the key ideas page and somehow now longtermism has become the “foundation” of their advice. When the EA org that is most people’s first contact with EA makes longtermism as the “foundation” of their recommendations, it should defintiely mean that EA now wants to move towards “a lot of longtermism”.
What if EA was just longtermism? Would that be bad? Should EA just be longtermism?
Yes, it would be bad if EA was just longtermism.
I believe that striving to make the simplest and honest case for a cause area is not a choice but an intellectual obligation. It is irresponsible to put forth unnecessarily complicated ideas and chase away people who might have otherwise contributed to that cause. I think Longtermism is currently an unnecessarily complicated way for us to make the case to convince people to contribute to most of the important EA cause areas. My thoughts come from this excellent post.
I am willing to concede my stance on this 2nd question if you can argue convincingly that:
striving to make the simplest and honest case for a cause area is not an intellectual obligation we need to hold.
there are some cause areas where longtermism is actually the simplest argument one can make to convince people to work on them. Of course, that would mean EA can then only work on those cause areas where this is true, but that might not be so bad if it is still highly impactful.
Some hedging:
I still believe Longtermism is an important idea. If you are a philosopher I would highly encourage you to work on it. But I just don’t think it is as important for EA as EA orgs are currently making it seem like. This is especially true of Strong Longterism.
I also think that this could all be a case of nomenclature being confusing. Here is a post talking about this confusion. Maybe those who do Global health & development are also on the longtermism spectrum but are just not as ‘gaga’ about it as Strong longtermists seem to be. After all it’s not as though Expectation value bets on the future (maybe not far future) can’t be made in a Global health & development intervention! If we clarify the nomenclature here then it could be possible that “Longtermism” (or whatever else the clarified nomenclature would call it) could become a clearer & simpler explanation to convince people to contribute to a cause area. Then I would still be fine with EA becoming “Longtermism” (in the clarified nomenclature).
The title of this post (and a link to it) was quoted here as supporting the claim that EA is mostly just longtermism.
https://reboothq.substack.com/p/ineffective-altruism?s=r
Giving money away as ineffectively as possible to own the nerds, got it 😒
It reminded me a bit of Charity Navigator shooting themselves in the foot with the phrase “defective altruism”.
It’s not that their claims have zero truth, but they are over the top and it harms whatever argument they did have.
Sorry I’m a bit late to the party on this, but thanks for the well-researched and well thought-out post.
My two cents, as this line caught my eye:
Notably, working on these issues can often improve the lives of people living today (e.g. working towards safe advanced AI includes addressing already present issues, like racial or gender bias in today’s systems).
I think the line of reasoning concerns me. If working on racial/gender bias from AI is one of the most cost-effective ways to make people happier or save lives, then I would advocate this line of reasoning, but I doubt this is the case.
Rather, if the arguments for working on AI as an X-risk aren’t convincing enough on its own, it seems this would be enough to re-consider whether we want to work on AI.
Alternatively, the racial/gender bias angle could be used more for optics, rather than truly being the rationale behind working on AI. While it’s possible this would bring more people on board, there are risks associated with hiding what you really think (see section “Longtermism vs X-risk” of this podcast for discussion on the issue—Will Macaskill notes “I think it’s really important to convey what you believe and why”).
I am trying not to be snarky and dismissive, but among a large number of things I think this post gets wrong, this sticks out as a ridiculous and obviously wrong claim.
First, non-effective altruists have been giving to global threat reduction for most of a century, starting with nuclear nonproliferation, moving to the obvious focus of Gates Foundation’s pandemic prevention funding.
Second, big differences of EA including the impartial welfarist viewpoint, the embrace of animal welfare, measurement and impact maximization, and cause neutrality all strike me as similarly hugely controversial claims, in many ways much more controversial than valuing future human lives. Effective altruism was being attacked as bad and confused from the start, well before longtermism was a focus.
Lastly, you don’t need to be longtermist to worry about AI risk. There is debate about how long until AGI is likely, but I plan to live at least another 4 decades, which at this point is a pretty conservative estimate. So even if I didn’t have kids I’d like to see grow up, longtermism really isn’t needed to consider AI risks to be a priority.
I agree with your specific claims, but FWIW I thought albeit having some gaps the post was good overall, and unusually well written in terms of being engaging and accessible.
The reason why I overall still like this post is that I think at its core it’s based on (i) a correct diagnosis that there is an increased perception that ‘EA is just longtermism’ both within and outside the EA community, as reflected in prominent public criticism of EA that mostly talk about their opposition to longtermism, and (ii) it describes some mostly correct facts that explain and/or debunk the ‘EA is just longtermism’ claim (even though omitting some important facts and arguably underselling the influence of longtermism in EA overall).
E.g., on the claim you quote, a more charitable interpretation would be that longtermism is one of potentially several things that differentiates EA’s approach to philanthropy from traditional ones, and that this contributes to longtermism being a feature that outside observers tend to particularly focus on.
Now, while true in principle, my guess is that even this effect is fairly small compared to some other reasons behind the attention that longtermism gets. – But I think it’s quite far from ridiculous or obviously wrong.
I also agree that one doesn’t need to be a longtermist to worry about AI risk, and that an ideal version of the OP would have pointed that out somewhere, but again I don’t think this is damning for the post overall. And given that ‘longtermism’ as a philosophical view and ‘longtermism’ as a focus on specific cause areas such as AI, bio, and other global catastrophic risk are often conflated even within the EA community, I certainly think that conflation might play into current outside perceptions of ‘EA as longtermism’.