I recommend funding GWWC and the Centre for Exploratory Altruism Research’s (CEARCH’s) High Impact Philanthropy Fund (HIPF) due their effects on soil animals, which I think are practically proportional to the increase in agricultural-land-years per $. I estimate HIPF increases agricultural land 9.42 times as cost-effectively as GiveWell’s top charities, which is similar to my estimates for the giving multiplier of GWWC in 2023 and 2024.

A few quick comments:

1. GWWC donors don't only give to GiveWell (or other life-saving) charities, so you'd want to discount by the proportion going to them.
2. There might be other charities that GWWC supporters donate to that will increase soil animal populations in expectation, e.g. some diet change and alternative protein work. You'd probably want to check the net effect combining them.

(Edited to elaborate.)

I think bracketing agents could be moved to bracket out and ignore value of information sometimes and more often than EV-maxers, but it's worth breaking things down further to see when. Imagine we're considering an intervention with:

1. Direct effects on a group of moral patients (or locations of value), and we're clueless about those effects.
2. Some (expected) value of information for another group of moral patients (possibly the same group, a disjoint group or intersecting the group in 1).

Then:

a. If the group in 2 is disjoint from the group in 1, then we can bracket out those affected in 1 and decide just on the basis of the expected value of information in 2 (and opportunity costs).

b. If the group in 2 is a subset of the group in 1, then the minimum expected value of information needs to be high enough to overcome the potential expected worst case downsides from the direct effects on the group in 1, for the intervention to beat doing nothing. The VOI can get bracketed away and ignored along with the direct effects in 1.

And there are intermediate cases, with probably intermediate recommendations.

Without continuity (but maybe some weaker assumptions required), I think you get a representation theorem giving lexicographically ordered ordinal sequences of real utilities, i.e. a sequence of expected values, which you compare lexicographically. With an infinitary extension of independence or the sure-thing principle, you get lexicographically ordered ordinal sequences of bounded real utilities, ruling out St Pesterburg-like prospects, and so also ruling out risk neutral expectational utilitarianism.

Is there a way to retract a vote? I accidentally voted (I'm not skeptical of cluelessness).

Yes, good point. It's worth checking if the delay could have a significant impact.

It might not be a genuine supply shift, if the same business/company would just want to set up elsewhere. You could model the probability that they wouldn't, so there would be a supply shift, and then use elasticities for that.

FWIW, since 2022 (so after SWP and FWI), I count:

1. Scale Welfare (founded in 2025, but I think the idea was recommended for a few years?)
2. A charity working on fish welfare in Europe (founded in 2024), not listed on their website
3. Another working on fish started because of AIM in 2023, but not an official incubatee and not listed on their website.

One way you could think about the St Petersburg lottery money pump is that the future version of yourself after evaluating the lottery just has different preferences or is a different agent. Now, you might say your preferences should be consistent over time and after evaluations, but why? I think the main reason is to avoid picking dominated outcome distributions, but there could be other ways to do that in practice, e.g. pre-commitments, resolute choice, burning bridges, trades, etc.. You would want to do the same thing for Parfit's hitchhiker. And you would similarly want to constrain the choices of or make trades with other agents with different preferences, if you were handing off the decision-making to them.

I grant that this is pretty weird. But I think it’s weird because of the mathematical property that an infinite function can have where it’s average value (or its expected value) can be greater than any possible value it might have. In light of such a situation, it’s not particularly surprising that each time you discover the outcome of the situation, you’ll be disappointed and want to trade it away. If a view has weird implications because of weird math, that is the fault of the math, not of the view.

I'm not sure I would only blame the math, or that you should really separate the math from the view.

Basically all of the arguments for the finitary independence axiom and finitary sure-thing principle are also arguments for their infinitary versions, and then they imply "bounded" utility functions.^[1] You could make exceptions for unbounded prospects and infinities because infinites are weird, but you should also probably accept that you're at least somewhat undermining some of your arguments for fanaticism in the first place, because they won't hold in full generality.

Indeed, I would say fanaticism is less instrumentally rational than bounded utility functions, i.e. more prone to making dominated choices. But there can be genuine tradeoffs between instrumental rationality and other desiderata. I don't see why sometimes in theory making dominated choices is worse than sacrificing other desiderata. Either way, you're losing something.

In my case, I'm willing to sacrifice some instrumental rationality to avoid fanaticism, so I'm sympathetic to some difference-making views.

1. ^{^}

   See Jeffrey Sanford Russell, and Yoaav Isaacs. “Infinite Prospects*.” Philosophy and Phenomenological Research, vol. 103, no. 1, Wiley, July 2020, pp. 178–98, https://doi.org/10.1111/phpr.12704, https://philarchive.org/rec/RUSINP-2

   That assumes independence of irrelevant alternatives, transitivity and completeness, but I'd think you can drop completeness and get a similar result, with "multi-utility functions".

I'd follow something like these:

1. https://rethinkpriorities.org/research-area/invertebrate-sentience-useful-empirical-resource/
2. https://www.frontiersin.org/journals/veterinary-science/articles/10.3389/fvets.2022.788289/full
3. check for functions (causal roles) that can be reasonably interpreted as generating appearances of stimuli as good/desirable/worth promoting or bad/undesirable/worth avoiding. These are enough for moral status in my view, but pain and pleasure could be more specific. Or, what does it mean for something to be painful or pleasurable in functionalist terms? Develop that, and check for it in nematodes.

It's unlikely that any of this will be conclusive, but it can inform reasonable ranges of probabilities.

On the question of what they find painful or pleasurable, check what they tend to avoid and approach, respectively, especially through learned behaviour (and especially more general types of learning) or internal simulation of outcomes of actions, rather than in-built reflexive behaviour and very simple forms of learning like habituation.

EDIT: You can also validate with measures of brain activity and nociception. There are probably features common to (apparently) painful experiences in nematodes, and features common to pleasurable ones in nematodes, which could be identified and then checked for across experiences.

What about doing Welfare Footprint-like analysis (e.g. here), but including both positive and negative experiences, and investigating what kinds of behavioural tradeoffs they make between different (intensities of) experiences to weigh intensities?