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Subtitle: Sometimes the easily defended view is the one you really want
The most striking thing about effective altruism, dialectically, is that it's a neglected truism:
Moral truisms may still be widely ignored. The moral truism underlying Effective Altruism is that we have strong reasons to do more good, and it's worth adopting the efficient promotion of the impartial good as one among one's many life projects.
Most people do not, in fact, adopt the efficient promotion of the impartial good as even one among their many life projects. That's a shame! I think more people should try this, and I take encouraging this change to be a constitutive aim of the EA movement (along with helping those attempting this project to pursue it more effectively).
Those who don’t like this idea generally don’t reject it explicitly. Nobody says, “As one of the wealthiest people in history, I would really much prefer to keep over 90% of my income for personal consumption, get moral kudos for purely symbolic acts, and not have to think at all about the interests of emotionally unappealing moral patients like shrimp or distant future generations.” But nor will they endorse the moderate EA ask. [...]
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Hi everyone. I lead marketing and communications at CEA. Given the amount of attention we expect The Altruists series to generate, I'm posting a high-level update and introducing myself as a point of contact for questions or coordination.
Later this year, Netflix is expected to release The Altruists, an eight-episode crime drama series telling the story of Sam Bankman-Fried, Caroline Ellison, and the collapse of FTX. It's produced by Higher Ground Productions (the Obamas' production company) and stars Anthony Boyle as Bankman-Fried and Julia Garner as Ellison.
We don't have advance information about how EA will be portrayed, or how much the series will engage with EA beyond the FTX connection. We’re following developments as they emerge.
We think it's likely the series will draw a large audience (for comparison, Higher Ground's Inventing Anna amassed 1.2 billion viewing minutes in its first three days) and generate significant media coverage. If that proves correct, we'd expect more people to hear about effective altruism for the first time (for context, Rethink Priorities estimates genuine EA awareness among US adults to be roughly 1-3%). We see our job as making sure accurate and up-to-date information is easy to find when people search [...]
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AIM has a reputation for extreme frugality on pay. It was earned but it's now out of date. Over the past few months we have:
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Outline:
(00:17) Public service announcement
(00:55) TL;DR
(02:32) Context
(02:35) From frugal roots
(03:18) Upsides
(04:18) Downsides
(07:04) Our new salary policy
(07:08) The design process
(08:25) The policy
(10:48) Reflections and rollout
(12:07) Program stipends
(14:19) Founder salary advice
(16:16) Was pay your blocker before?
(16:57) Before you go: wanna found an animal charity?
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Note: This post was crossposted from the Coefficient Giving Farm Animal Welfare Research Newsletter by the Forum team, with the author's permission. The author may not see or respond to comments on this post.
The third wave of American philanthropy is finally coming. It could usher in a Golden Age of Animal Welfare. If you don’t know what I’m talking about, I recommend reading the linked pieces by Nan Ransohoff and Itsi Weinstock. If you do, read on.
Newly-minted AI millionaires have already donated tens of millions this year to help factory-farmed animals. Many plan to give much more. We don’t yet know how much, but this could be a step-change for our movement.
It's about time. Our movement has long punched above its weight, winning change for billions of animals on a global budget smaller than what Americans spend on Halloween costumes for their pets. If we spend the new funds well, we could help many billions more.
How? Here are some initial thoughts on what the new money could enable our movement to do.
1. Raise our ambitions
We’ve long played triage: with limited resources, we could only pick the biggest fights we could win. Now we [...]
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As a community builder, it doesn’t get much better than receiving a message like this:
Others who work on movement growth have reported similar success stories: someone learns about EA, doesn’t immediately work in an EA-shaped role, but then transitions to impactful work years later. I can’t help but wonder: might there be people who lost touch with EA, but would be excited to put themselves back out there if nudged?
When I learned about EA as a college student in 2017, there were relatively few “EA jobs” I was a fit for. After getting rejected from a few roles, I ruled myself out for most of the next five years. If someone had messaged me “there are a ton of opportunities now; you should consider applying again!” I certainly would have done so.
I think now is a better time than ever before to apply for jobs at organizations doing good effectively. Hundreds of impactful organizations across the EA ecosystem are hiring for a greater number and variety of roles, and I anticipate continued growth in opportunities to keep pace with expansion in effective philanthropy. Plus, with greater resourcing, staff at impactful organizations may have the potential [...]
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GiveWell's Operations department is growing! We have roles open across multiple Ops functions: Grants Administration, People Operations, Talent Acquisition, Technology, and the offices of the CEO and COO. We hope to make multiple hires for many of these roles.
We’re hosting an Ask Me Anything session with our COO, Sai Jahann, to answer questions from the Forum community about what it's like to work at GiveWell, our Operations functions, this hiring round, and impactful Operations careers at GiveWell.
We plan to keep this AMA open through the next week. You can start sharing your questions on this post now, and Sai will plan to respond beginning Friday. We’ll prioritize the most upvoted questions if we can’t get to everything.
A few things we won't be able to cover: commentary on any active or past applications, individualized feedback on application materials, or insight into specific grantmaking decisions made by our Research team. If we’re unable to answer a question, we'll say so rather than skipping it.
This hiring round is a big event for us. If you’ve ever considered working at GiveWell in an Operations role, we are excited to take your questions and hope you’ll consider applying!
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Summary
A call to prepare for scaling impact
The animal welfare space is looking to absorb an influx of funding this year, and could see more funding in future, as with other cause areas. We've seen a lot of online discussion and excitement about this, but relatively few concrete action plans proportional to the significance of the opportunity. We’re not talking about plans to absorb trillions of dollars to [...]
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Outline:
(00:12) Summary
(01:09) A call to prepare for scaling impact
(03:07) We're offering support
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Summary
A call to prepare for scaling impact
The animal welfare space is looking to absorb an influx of funding this year, and expects more funding in future, as do other cause areas. We've seen a lot of online discussion and excitement about this, but relatively few concrete action plans proportional to the significance of the opportunity. We’re not talking about plans to absorb trillions of dollars to buy Tyson Foods and build cultivated meat on the Moon. [...]
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Outline:
(00:12) Summary
(01:06) A call to prepare for scaling impact
(03:01) We're offering support
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BLUF:
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Outline:
(03:05) Introduction
(04:26) Both a poor reflection and a dark glass
(07:51) Human benchmarking also has a y-axis problem
(12:27) A metrological elegy
(12:49) The base case: benchmarks (cf. exams)
(13:30) Elo et al.
(16:25) (And maybe not quite 'game ability ≡ winning games', after all?)
(18:28) ECI (cf. IQ)
(20:56) Intervals Rarely True
(25:01) Measure endogeneity
(31:12) Forking IRT
(34:45) (Dimensions of being, and beating, a bat)
(39:40) Prediction (cf. chronometry)
(41:58) Time horizons
(44:34) Human "capability" is also exponential in time horizon
(47:38) Intuitive/interpretative prelude
(52:56) Time horizons and ECI share an axis kink
(57:13) Perhaps money, as a measure, stinks the least
(01:01:07) Finale: AI as normal epistemics
(01:06:48) Acknowledgements
The original text contained 33 footnotes which were omitted from this narration.
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This is a crosspost from my blog post.
Many EAs use extensive “bayesian reasoning.” The basic idea behind it is that you should do the following:
Bayesian reasoning is helpful for a lot of everyday decision-making. If you’re trying to figure out whether to take a job in Los Angeles or in New York, it makes sense to try to guess how happy you’d be in each respective city. And, if you’re trying to compare career paths, you should assign probabilities to how likely you are to succeed in them.
But, to me, EAs take this kind of reasoning too far. EAs have variously tried to predict how many future humans there will be, asked non-domain experts how likely they think a catastrophic pandemic will be, and even tried to determine whether we should work on improving the lives of people in the far future.
Probably the most common (and representative) example of this, though, is the idea [...]
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Outline:
(01:43) Reason #1: If you know very little about something, your guesses are completely arbitrary.
(02:29) Reason #2: If your guesses are completely arbitrary, updating won't bring you to the correct probability.
(03:21) Reason #3: We should expect most guesses about the future to be wrong.
(04:19) Reason #4: If your guesses are based on other people's guesses, you might all be wrong.
(04:45) Reason #5: People rarely offer extraordinarily low probabilities.
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From the publisher's feed