All good points!

Weirdly, I arrived at this comment just after rereading an internet horror comic that begins with a starfish eating someone alive. I hope shellfish aren't sentient.

Thanks, this should be fixed now.

Hi Vasco. Thanks!

I'd prefer for the submitter to write or generate a summary, so that it covers what they think is important — an AI summary of e.g. "War With The Newts" probably won't hint at the EA parallels.

I also like having less AI text around if I can help it; I don't personally mind it in this context, but think it tends to degrade reading experience for many people.

That said, I'd like to make life easier for submitters, so I've removed the mandate from "summary" and "media type". I left "EA vibes" because that still requires a human touch — my experiments in getting AI to explain a book's EA vibes have been mixed at best, and a work's connection to EA is often quite personal for the submitter (we all see EA a bit differently).

Thanks for the reminder -- didn't mean to leave out the type.

I skipped "Creator" at first because I wasn't sure it was worth the space (mostly one-time creators here), but when I thought more, it seems useful for people to be able to e.g. filter through all the Scott Alexander content once the database is bigger. And it saves people from having to specify creators in the title. And people can always filter it out for themselves. So it's in for now!

Fixed! Thanks for the alert.

GWWC has a blog, so you could ask them about publishing there!

There's always the option of pitching your story to news outlets; occasionally we do see a GWWC member pop up in mainstream media, like Allan Saldanha in the Guardian (who also gives well over 10%). But I don't know how those stories tend to come together — whether it's through GWWC helping out or the subject making their own connections. Probably worth asking GWWC about that, though.

Congratulations! Welcome to the Forum.

Thanks for the nitpick, fixed!

I mean something like "the average person in the EA community" or "the average person who is interested enough in EA's ideas and methods to take action" — that seems like the relevant audience for the question of what the community should focus on.

(This is complicated by giving being an easier pitch/reaching more people than career choice — but that's beyond the scope of this comment.)

Some thoughts:

1. I'm not sure what it means for a candidate to be "more cost-effective", but I assume it equates to "better at their job" (assuming a fixed salary).
2. My impression, from spending a lot of time in EA orgs and working on several hiring rounds, is that the difference between "best candidate" and "second-best candidate" is often well over 10% (though, to be fair, orgs may be wrong about which candidate is best).
3. And even a candidate who is only 10% "better" might have additional impact worth far more than 10% of their salary. Let's say an average org employee generates $2 million in value for the organization (seems realistic based on this). Getting the "best" candidate for a job would then be worth $200,000 to the org. If that employee earned a $100,000 salary (and donated $10,000/year), they'd generate more value by working than giving even if their donation target was 10x as cost-effective as their employer.
   1. The linked figures are old and could be flawed in many ways, but I'm not aware of anything better.
   2. The implicit assumption I'm reading from your model is that someone's impact within a job is worth exactly what they are paid. But I may be misunderstanding something — you have much more experience with this kind of modeling than I do!
4. Your model seems to assume that a donor will support the most cost-effective intervention in an area. But if less cost-effective interventions have a lot more jobs, doesn't that imply they also have more funding, and thus that the average donor is more likely to support them?
   1. This is hard to support empirically without some shared views on which interventions are best. But I will say that donors, relative to job-seekers, have historically been much more interested in global health than animal welfare or X-risk — if you think the most effective interventions are in the latter categories, that's some evidence in favor of prioritizing career choice over giving.
   2. If new donors did reliably support the most cost-effective interventions, that seems like it would open up many more jobs in those interventions and boost the impact of an expected career change (though perhaps not above the impact of donating).
5. People who decide to change their careers don't just add to existing interventions — they sometimes make it possible to support new interventions (e.g. by founding an org, or bringing a new kind of expertise into an existing org).
   1. Donors can also do this, but it's hard — I'd guess the average EA-interested person is more likely to be capable of starting a new org than providing sufficient seed funding to get one running.
6. In my experience, EA orgs tend to describe themselves as much more limited by talent than funding. This doesn't disprove your model — it could be that orgs are broadly wrong about this, or that the most effective orgs are more likely to be primarily funding-bottlenecked, or that the average person can do more to resolve a funding bottleneck than a talent bottleneck, etc. — but it seems like evidence that the model is incomplete.
7. In theory, the best outcome is for someone to change their career and start donating. And I think someone who changes their career is more likely to start donating than vice-versa. A career change is a big change to someone's environment/what they think about all day, and likely connects them to lots of other people who donate, while donating is a smaller change with little day-to-day impact on how the donor thinks about their career.
   1. If you think most people make far more impact by donating than working, and that it's much easier to convince people to donate than change careers, this factor won't change much; you'd still prefer lots of new donors to a small number of new workers who also donate. But I still thought it was worth noting.

I probably won't have time to respond to more comments at length (if at all), but I appreciate the impetus to think about the question!

Thanks! I didn't add Richard initially because he's said he doesn't think of himself as part of EA (didn't want to saddle him with associations he might not want). But his donation writeups are great, so I adjusted the language of my list to be more inclusive of anyone who shares an interest in EA-linked causes.