Verstergaard has a reply on their website FWIW, can't vouch for it/just passing along: https://vestergaard.com/blogs/vestergaard-position-bloomberg-article-malaria-bed-nets-papua-new-guinea/
Exciting news! I worked closely with Zach at Open Phil before he left to be interim CEO of EV US, and was sad to lose him, but I was happy for EV at the time, and I'm excited now for what Zach will be able to do at the helm of CEA.
Hi Dustin :)
FWIW I also don't particularly understand the normative appeal of democratizing funding within the EA community. It seems to me like the common normative basis for democracy would tend to argue for democratizing control of resources in a much broader way, rather than within the self-selected EA community. I think epistemic/efficiency arguments for empowering more decision-makers within EA are generally more persuasive, but wouldn't necessarily look like "democracy" per se and might look more like more regranting, forecasting tournaments, etc.
This is a great point, Alexander. I suspect some people, like ConcernedEAs, believe the specific ideas are superior in some way to what we do now, and it's just convenient to give them a broad label like "democratizing". (At Asana, we're similarly "democratizing" project management!)
Others seem to believe democracy is intrinsically superior to other forms of governance; I'm quite skeptical of that, though agree with tylermjohn that it is often the best way to avoid specific kinds of abuse and coercion. Perhaps in our context there might be more...
Also, the (normative, rather than instrumental) arguments for democratisation in political theory are very often based on the idea that states coerce or subjugate their members, and so the only way to justify (or eliminate) this coercion is through something like consent or agreement. Here we find ourselves in quite a radically different situation.
Just wanted to comment to say I thought this was very well done, nice work! I agree with Charles that replication work like this seems valuable and under-supplied.
I enjoyed the book and recommend it to others!
In case of of interest to EA forum folks, I wrote a long tweet thread with more substance on what I learned from it and remaining questions I have here: https://twitter.com/albrgr/status/1559570635390562305
Thanks MHR. I agree that one shouldn't need to insist on statistical significance, but if GiveWell thinks that the actual expected effect is ~12% of the MK result, then I think if you're updating on a similarly-to-MK-powered trial, you're almost to the point of updating on a coinflip because of how underpowered you are to detect the expected effect.
I agree it would be useful to do this in a more formal bayesian framework which accurately characterizes the GW priors. It wouldn't surprise me if one of the conclusions was that I'm misinterpreting GiveWell's current views, or that it's hard to articulate a formal prior that gets you from the MK results to GiveWell's current views.
Thanks, appreciate it! I sympathize with this for some definition of low FWIW: "I have an intuition that low VSLs are a problem and we shouldn't respect them" but I think it's just a question of what the relevant "low" is.
Thanks Karthik. I think we might be talking past each other a bit, but replying in order on your first four replies:
Hey Karthik, starting separate thread for a different issue. I opened your main spreadsheet for the first time, and I'm not positive but I think the 90% reduction claim is due to a spreadsheet error? The utility gain in B5 that flows through to your bottom line takeaway is hardcoded as being in log terms, but if eta changes than the utility gain to $s at the global average should change (and by the way I think it would really matter if you were denominating in units of global average, global median, or global poverty level). In this copy I made a change to...
You... are absolutely right. That's a very good catch. I think your calculation is correct, as the utility translation only happens twice - utility from productivity growth, which I adjusted, and utility from cash transfers, which I did not. Everything else is unchanged from the original framework.
You're definitely right that it matters whether this is global average/median/poverty level. I think that the issue stems from using productivity as the input to the utility function, rather than income. This is not an issue for log utility if income is directl...
Hey Karthik,
Thanks for the thoughtful post, I really appreciate it!
Open Phil has thought some about arguments for higher eta but as far as I can find never written them up, so I'll go through some of the relevant arguments in my mind:
I don't have a particularly good estimate on total time, but my impression is that most doctors recommend people plan to take a couple weeks off from office work, which would maybe 2-3x your 52 hr estimate?
Hi Nicole,
I think this is a cool choice and a good post - thanks for both! I agree with your bottom line that kidney donation can be a good choice for EAs and just wanted to flag a few additional resources and considerations:
Hi MHR,
I really appreciate substantive posts like this, thanks!
This response is just speaking for myself, doing rough math on the weekend that I haven't run by anyone else. Someone (e.g., from @GiveWell) should correct me if I'm wrong, but I think you're vastly understating the difficulty and cost of running an informative replication given the situation on deworming. (My math below seems intuitively too pessimistic, so I welcome corrections!)
If you look at slide 58 here you get the minimum detectable effect (MDE) size with 80% power can be approximated as...
Thanks so much for taking the time to read the post and for really engaging with it. I very much appreciate your comment and I think there are some really good points in it. But based on my understanding of what you wrote, I’m not sure I currently agree with your conclusion. In particular, I think that looking in terms of minimum detectable effect can be a helpful shorthand, but it might be misleading more than it’s helping in this case. We don’t really care about getting statistical significance at p <0.05 in a replication, especially given that the pr...
I also hadn't seen these slides, thanks for posting! (And thanks to Michael for the post, I thought it was interesting/thought-provoking.)
Thanks for the thorough engagement, Michael. We appreciate thoughtful critical engagement with our work and are always happy to see more of it. (And thanks for flagging this to us in advance so we could think about it - we appreciate that too!)
One place where I particularly appreciate the push is on better defining and articulating what we mean by “worldviews” and how we approach worldview diversification. By worldview we definitely do not mean “a set of philosophical assumptions” - as Holden writes in the blog post where he introduced the concept, we defi...
Thanks very much for these comments! Given that Alex - who I'll refer to in the 3rd person from here - doesn’t want to engage in a written back and forth, I will respond to his main points in writing now and suggest he and I speak at some other time.
Alex’s main point seems to be that Open Philanthropy (OP) won't engage in idle philosophising: they’re willing to get stuck into the philosophy, but only if it makes a difference. I understand that - I only care about decision-relevant philosophy too. Of course, sometimes the philosophy does really matter: the ...
Set point. I think setting a neutral point on a life satisfaction scale of 5/10 is somewhere between unreasonable and unconscionable
The author doesn't argue that the neutral point is 5/10, he argues (1) that the decision about where to set the neutral point is crucial for prioritising resources, (2) you haven't defended a particular neutral point in public.
...and OP institutionally is comfortable with the implication that saving human lives is almost always good. Given that we think the correct neutral point is low, taking your other points on boa
GiveWell could answer more confidently but FWIW my take is:
-December 2022 is totally fine relative to today.
-I currently expect this increase in marginal cost-effectiveness to persist in future years, but with a lot of uncertainty/low confidence.
I wrote a long twitter thread with some replies here FWIW: https://twitter.com/albrgr/status/1532726108130377729
Agree that the paper leaves open the ultimate impact on completed fertility and on your #3. On #2 - I think it would be a mistake to try to adjust for this and neglect long run effects, as in your estimate in fn1.
This isn't an answer to the question, but two additional considerations I think you're missing that point the opposite direction and I think would make AMF look even better than GiveWell counts it as, on the total view:
Thanks, I thought this was interesting!
This question you called out in "Relevance" particularly struck me: "More concretely, it could help us estimate the potential market size of effective altruism. How many proto-EAs are there? Less than 0.1% of the population or more than 20%?"
How would you currently answer this question based on the research you report here?
If a five or higher on both scales is one way to operationalize proto-EA (you said 81% of self-ID'd EAs had that or higher), do you think the NYU estimates (6%?) or MTurk estimates (14%?) are more representative of the "relevant" population?
Thank you!
If we operationalize proto-EAs as scoring five or higher on both scales, then I’d say the 14% estimate is closer to the actual number of proto-EAs in the general (US) population (though it’s not clear if this is the relevant population or operationalization, more on that below).
First, the MTurk sample is much more representative of the general population than the NYU sample. The MTurk sample is also larger (n = 534) than the NYU sample (n = 96) so the MTurk number is a more robust estimate. Lastly, the NYU sample mostly consiste...
Really liked this post, thanks.
Minor comment, wanted to flag that I think "Open Philanthropy has also reduced how much they donate to GiveWell-recommended charities since 2017." was true through 2019, but not in 2020, and we're expecting more growth for the GW recs (along with other areas) in the future.
Obv disclaimer: not a tax adviser.
Seems like yes based on this (https://www.thebalancesmb.com/can-my-business-deduct-charitable-contributions-397602) and according to this (https://www.philanthropy.com/article/nonprofits-win-extended-charitable-deductions-and-paycheck-protection-loans-in-stimulus-bill) the recent stimulus bill increased the limit for 2021 to 25% of corporate taxable income (instead of the normal 10%).
Re your last paragraph, I just wanted to drop @jefftk's (IMO) amazing post here: https://www.jefftk.com/p/candy-for-nets
Someone emailed me this and asked for thoughts, so I thought I'd share some cleaned up reactions here. Full disclosure--I work at Open Phil on some related issues:
Thanks for these comments Alex. I agree that it would be best to look at how growth translates into subjective wellbeing, and I am planning to do this or to get someone else to do it soon. However, I'm not sure that this defeats our main claim which is that research on and advocacy for growth are likely to be better than GW top charities. There are a few arguments for this.
(1) GW estimates that deworming is the best way to improve economic outcomes for the extreme poor, in expectation. This seems to me very unlikely to be true since deworming explain...
I think this argument is wrong for broadly the reasons that pappubahry lays out below. In particular, I think it's a mistake to deploy arguments of the form, "the benefit from this altruistic activity that I'm considering are lower than the proportional benefits from donations I'm not currently making, therefore I should not do this activity."
Ryan does it when he says:
...How long would it take to create $2k of value? That's generally 1-2 weeks of work. So if kidney donation makes you lose more than 1-2 weeks of life, and those weeks constitute fun
I agree, and I'd add that what I see as one of the key ideas of effective altruism, that people should give substantially more than is typical, is harder to get off the ground in this framework. Singer's pond example, for all its flaws, makes the case for giving a lot quite salient, in a way that I don't think general considerations about maximizing the impact of your philanthropy in the long term are going to.
Yes, kidney selling is officially banned in nearly every country. My preference, at least in the U.S. context, would be to have the government offer benefits to donors to ensure high quality and fair allocation: http://www.nytimes.com/2011/12/06/opinion/why-selling-kidneys-should-be-legal.html
FWIW I think I'm an example of Type 1 (literally, in Lorenzo's data) and I also agree that abstractly more of Type 2 would be helpful (but I think there are various tradeoffs and difficulties that make it not straightforwardly clear what to do about it).