Summary
- I think organisations using Rethink Priorities’s (RP’s) mainline welfare ranges, at least Ambitious Impact (AIM), Animal Charity Evaluators (ACE), the Animal Welfare Fund (AWF), and RP, should consider effects on soil nematodes, mites, and springtails. I believe these are the driver of the overall effects of the vast majority of interventions.
- Effects on soil nematodes should not be neglected just because they may be beneficial or harmful. Mathematically speaking, “number which is certain to be barely positive” + “number which can be very negative, barely negative, barely positive, or very positive” = “number which can be very negative, barely negative, barely positive, or very positive”, which does not have to be barely positive in expectation. I would only disregard the effects on soil animals if I considered them much smaller in expectation than those being considered.
- Estimates of the expected effects on soil nematodes, mites, and springtails cannot be taken literally, but should still be considered. One should update less on uncertain evidence, but more given an uncertain prior.
- Many argue effects on soil nematodes, mites, and springtails should only be considered once society cares much more about animals than now. I suspect this results from implicitly supposing that helping animals more inside society’s moral circle, like farmed vertebrates, is more cost-effective. In contrast, I recommend supporting the interventions which at the margin increase welfare the most per $, even if to increase the welfare of animals which are highly neglected in society.
I think organisations using RP’s mainline welfare ranges should consider effects on soil nematodes, mites, and springtails
I think organisations using RP’s mainline welfare ranges, at least AIM, ACE, AWF, and RP, should consider effects on soil nematodes, mites, and springtails. If they are not planning to consider these effects, I think they should explain why not for reasoning transparency. I believe these are the driver of the overall effects of the vast majority of interventions. I estimate the following based on welfare ranges for those soil animals derived from RP’s mainline welfare ranges:
- Cage-free corporate campaigns benefit those soil animals 28.2 times as much as they benefit chickens.
- Broiler welfare corporate campaigns benefit those soil animals 444 times as much as they benefit chickens.
- Veganuary in 2024 harmed those soil nematodes 3.58 k times as much as they benefited farmed animals.
- School Plates in 2023 harmed those soil nematodes 5.42 k times as much as they benefited farmed animals.
- GiveWell’s top charities benefit those soil animals 87.6 k times as much as they benefit humans.
- Buying beef benefits those soil animals 1.82 M times as much as it benefits cows.
I also estimate feed crops replacing temperate grasslands, savannas, and shrublands increases the welfare of soil nematodes, mites, and springtails 9.39 (shrimp) to 11.7 M (dairy milk) times as much as it changes the welfare of directly affected animals.
I believe any organisation aiming to increase animal welfare should consider the effects on soil animals. I am focussing on the ones using RP’s mainline welfare ranges given the apparent contradiction between this, and neglecting effects on soil animals. In addition, neglecting effects on soil animals increases the probability of causing harm, so organisations which intrinsically value decreasing this, instead of just maximising expected impact, have an additional reason to consider them.
AIM may be the most open to considering these. Joey Savoie, AIM’s CEO, said on 15 May 2023 they “consider cross-cause effects in all the interventions we consider/recommend, including possible animal effects and WAS [wild animal suffering] effects”. However, none of AIM’s public reports covers effects on wild animal welfare of interventions targeting humans, or farmed animals.
ACE commented on 25 June 2025 they “intend to publish a blog post on the consequences of farmed animal welfare interventions for wild animals, after the busy work of charity evaluations is wrapped up for the season”.
Effects on soil nematodes should not be neglected just because they are unlikely to be sentient
I suspect many are only willing to account for effects on beings which are sufficiently likely to be sentient, even if the effects on them are very large in expectation due to them being very numerous. It is as if probabilities of sentience below a minimum arbitrary threshold are rounded to 0. Even Peter Singer seems to have too much binary thinking about which animals are considered. Peter seemingly advocates much more for vertebrates than invertebrates, and said in 2023 that “a reasonable place to draw the line is to say that there are some invertebrates that can feel pain”. I do not think one should be drawing lines defining a moral circle. Sentience, and welfare per animal-year are probabilistic, and this has to be multiplied by the number of individuals to get their total welfare. Invertebrates are less likely to be sentient, and have a welfare per animal-year closer to 0 than vertebrates, but there are many more of them. Rounding to 0 a probability of sentience, or welfare per animal-year close to 0 introduces an infinite amount of scope insensitivity. Regardless of the number of beings affected, the change in their welfare will be estimated to be exactly 0.
Furthermore, the probability of sentience of soil nematodes, mites, and springtails is not anything close to Pascalianly low. RP got a probability of sentience for nematodes, which have the least neurons among those soil animals, of 6.8 % under their preferred “#1 High-Value Proxies Model”, and it only ranged from 6.8 % to 6.9 % across the 5 models they considered, although I assume these are far from independent given the proximity of the estimates. I suspect the actual probability of sentience of nematodes is higher. In RP’s words, “Assigning proxies labeled “Unknown” zero probability of being present is certainly leading to underestimates of the welfare ranges and probabilities of sentience [all else equal]”. The probability of dying in a car crash is around 2.70*10^-9 per km (= 10^-6/370), and many people still consider it reasonable to fasten seat belts for increased safety on short trips, even if they would prefer it to be optional.
Effects on soil nematodes should not be neglected just because they may be beneficial or harmful
I expect the interventions I mentioned above to benefit soil nematodes for my best guess that they decrease their population, and that soil nematodes have negative lives. Nevertheless, I got a probability for this of 58.7 %, so I am uncertain about whether the effects on soil nematodes are beneficial or harmful. However, they should not be neglected just because of this. Consider an intervention aiming to decrease the consumption of animal-based foods which:
- Increases the welfare of farmed animals, the target beneficiaries, by 1 QALY with 100 % probability.
- Decreases the welfare of soil nematodes by 1 kQALY with 30 % probability, and by 0.001 QALY with 30 % probability.
- Increases the welfare of soil nematodes by 0.001 QALY with 20 % probability, and by 1 kQALY with 20 % probability.
There is lots of uncertainty about whether the effects on soil nematodes are very negative, barely negative, barely positive, or very positive, but I would not neglect them. They decrease welfare by 100 QALY (= 0.3*(1*10^3 + 0.001) - 0.2*(1*10^3 + 0.001)) in expectation, and therefore the intervention decreases welfare by 99.0 QALY (= 100 - 1*1) in expectation, thus being harmful.
You may well disagree with my numbers above. However, mathematically speaking, “number which is certain to be barely positive” + “number which can be very negative, barely negative, barely positive, or very positive” = “number which can be very negative, barely negative, barely positive, or very positive”, which does not have to be barely positive in expectation. I would only disregard the effects on soil animals if I considered them much smaller in expectation than those being considered.
Estimates of the expected effects on soil nematodes, mites, and springtails cannot be taken literally, but should still be considered
Joey said the following about my estimates of the effects on soil nematodes, mites, and springtails.
Hey Vasco, At a certain level of robustness, I do not take CEAs [cost-effectiveness analyses] as sufficient evidence to update on, and these estimates do not pass that bar. This post (https://blog.givewell.org/2011/08/18/why-we-cant-take-expected-value-estimates-literally-even-when-theyre-unbiased/ ) is the best articulation of how I think about evidence.
I also think about evidence as described in that post from Holden Karnofsky. Here is the summary of it I published in April 2022. I agree on not updating all the way from one’s prior estimate of the expected value to the new one, and on updating less on more uncertain evidence. Yet, as implied by inverse-variance weighting used in meta-analyses, one should also update more given a more uncertain prior. I believe any reasonable prior estimate of the effects on soil nematodes, mites, and springtails will be highly uncertain. So I maintain estimates of the expected effects like mine should still be considered.
I suspect many are misinterpreting Holden’s post due to conflating the prior about the effects on humans with the prior about the effects on all potentially sentient beings. Holden rejects impartiality, which means 1 unit of welfare is always worth the same, even in principle, so he can consider a more certain prior which neglects some effects. I would say one should fully endorse impartiality at least in principle, and therefore consider the prior about the effects on all potentially sentient beings. This prior is much more uncertain than the one about the effects on humans, thus enabling much larger updates towards new estimates of the expected effects on soil nematodes, mites, and springtails.
Effects on soil nematodes, mites, and springtails should be considered even if they are very neglected in society
Many argue effects on soil nematodes, mites, and springtails should only be considered once society cares much more about animals than now. I suspect this results from implicitly supposing that helping animals more inside society’s moral circle, like farmed vertebrates, is more cost-effective. In contrast, I recommend supporting the interventions which at the margin increase welfare the most per $, even if to increase the welfare of animals which are highly neglected in society.
Moreover, some of the most cost-effective ways of increasing human welfare, like GiveWell’s top charities, target people in low income countries, and I estimate they are also among the most cost-effective interventions accounting for effects on soil nematodes, mites, and springtails. My best guess is that these have negative lives, and decreasing human mortality without decreasing food consumption increases cropland, thus decreasing the population of those animals. Humans in low income countries are more inside society’s moral circle than animals, but are still widely neglected. So I wonder what would be the case for prioritising less neglected animals over humans in low income countries. Likewise, I would like to know why the same arguments do not imply prioritising farmed vertebrates over farmed invertebrates, or pets over farmed vertebrates. I suspect many bring up cost-effective moral circle expansion as a justification for why helping their target animals is very cost-effective even accounting for all animals although this did not factor into their initial reasons.
Acknowledgements
Thanks to Vicky Cox for feedback on the draft, and to Zuzana Sperlova for confirming the cost-effectiveness analyses ACE will do this year will rely on RP’s mainline welfare ranges. I listed the names alphabetically. The views expressed in the post are mine.
Thanks to everyone for the discussion here. A few replies to different strands.
First, I agree with Vasco that transparency matters. However, transparency isn’t the only good—and, unfortunately, it often competes with others. (Time is limited. Optics are complicated. Etc.) So, by Vasco's own lights, it's only plausible that organizations should devote scarce resources to answering this particular cause prioritization question—and then post their answer publicly on the Forum—if they think (or should think) that the expected value of so doing is positive. It isn’t obvious that anyone in these organizations thinks (or should think) that’s true.
Second, you can use our work on welfare ranges without buying into naive expected utility maximization. I assume that many people who use our welfare ranges are averse to being mugged and, as a result, adopt one of the many strategies for avoiding that outcome. So, it can be true that (a) the expected value of impacts on some group of animals is very large in expectation and (b) you aren’t rationally required, by your own lights, to care much about that fact (and, by extension, investigate it in depth or engage on it publicly).
Third, our models have a narrow theoretical and pragmatic purpose: we wanted to improve the community’s thinking about cause prioritization regarding a group of animals where we took there to be good evidence of sentience. We don’t think you can take our models and apply them generally, nor do we think you can ignore the specific purpose for which they were developed. Put differently, once some animals have crossed some threshold of plausibility for sentience, we support using our models with trepidation, largely because we don't have better options. But you shouldn't apply the model beyond that and, if you have any other principled ways to make decisions, that's probably better. (Principled: “We think that any theory of change for the smallest animals begins with key victories for larger animals.” Unprincipled: “We don’t like thinking about the smallest animals.”)
Fourth, we disagree with @NickLaing characterization of the Moral Weight Project as stacking the deck in favor of high welfare range estimates. There are two reasons why. One of them is that the MWP does not say, “Sum the number of proxies found for a species and divide by the total number of proxies to get the welfare range.” If that were true, then the number of proxies would straightforwardly determine the maximum difference in welfare ranges. But that isn't correct. We have models (like the cubic model) where you need to have lots of proxies before you have a "highish" welfare range. However, we have lots of models, with uncertainty across them. Predictably, then, more moderate estimates emerge rather than any extreme (whether high or low). Someone is free to say: "A better methodology wouldn't have been so uncertain about the models; it would have just included animal-unfriendly options." That's clearly tendentious, though, and we think we made the right call in including a wider range of theoretical options. That being said, we’ll reiterate that those who are interested in the details of the project should examine the particulars of each model and its conclusions rather than just taking the overall estimates straightforwardly. You can find each model’s results here.
The second reason we disagree with Nick’s characterization of the MWP is that, even if you isolate a particular model, you don’t automatically get high welfare ranges. Suppose, for instance, that there are 80 proxies total and that a model uses them all. If there were N that were as simple as "any pain-averse behavior," then, for the core models of the MWP, saying "likely yes" to each of them would give you a sentience-conditioned welfare score of 0.875*N/80 on average. We didn't consider animals as simple as nematodes in the MWP because we didn't think that the methods were robust for that type of animal. (See above.) But say you think there's a 0.5% chance of sentience for nematodes. Then, the sentience-conditioned welfare range would have been approximately 0.005*0.875*N/80. If the average model had 5 proxies that are as simple as "any pain averse behavior" and we gave "likely yes" to nematodes on all five, that would generate a mean welfare range of 0.005*0.875*5/80 = 0.00027. Again, we don’t endorse using the MWP for animals with that small of a probability of sentience, but 0.00027 isn’t a particularly high welfare range. (And as we've said many times, we’re just talking about hedonic capacity, not “all things considered moral weights,” which don’t assume hedonism. That number would be lower still.)
Should we find funding for a second version of the project, we’re likely to take a different approach to aggregating the proxies to produce welfare ranges, aggregating welfare ranges across models, and communicating the results. Still, we hope the first version of MWP contributes to more informed and systematic thinking about how to prioritize among different interventions.
Thanks for the comment, Bob!
I agree transparency is not the only good. However, I think there is a high bar for not commenting on effects which in expectation seem way larger than the effects being covered.
I am not sure what you mean by "naive expected utility maximisation". I agree my analyses of the effects on soil nematodes, mites, and springtails have lots of room for improvement, but at least I am trying to consider these effects instead of assuming they do not change prioritisation even if they look much larger in expectation than the effects on the target beneficiaries.
I fully endorse expectational total hedonistic utilitarianism (ETHU), but I think this is far from required for effects on soil nematodes, mites, and springtails to matter a lot. These are much larger than the effects on the target beneficiaries under RP's mainline welfare ranges, so they would still be driver of the overall effect even putting just 10 % weight on ETHU.
What is so different between RP's probabilities of sentience of nematodes and silkworms of 6.8 % and 8.2 %? RP seems quite worried about farming black soldier fly larvae and mealworms, which I guess are roughly as likely to be sentient as silkworms, and therefore only 1.20 (= 0.082/0.068) times as likely to be sentient as nematodes by RP's own lights. Why is the methodoly used to obtain RP's mainline welfare ranges supposed to apply to many invertebrates, but not necessarily to nematodes, mites, and springtails?
I think the following point from @NickLaing is spot on. With the methodology used to obtain RP's mainline welfare ranges, "if a creature have any pain averse behavior (like just withdrawing from anything), it is guaranteed a highish welfare range". A single behavioural proxy likely to be absent, meaning 12.5 % (= (0 + 0.25)/2) likely to be present, implies a welfare range conditional on sentience, and the rate of subjective experience of humans under the pleasure-and-pain-centric model of at least 0.00339 (= 0.125/37) regardless of the simplicity of the organism (including bacteria).
I noted the sheet I just linked above is no longer public. I encourage you to make it public again such that people can examine the assumptions underlying RP's mainline welfare ranges.
You say "0.00027 isn’t a particularly high welfare range [of nematodes]", but it is 41.7 (= 2.7*10^-4/(6.47*10^-6)) times my estimate, and this already implies the expected effects on soil nematodes are way larger in expectation that those on the target beneficiaries.
Thanks for all your work on comparing welfare across species. I have found it super valuable!
Hi Vasco,
I just want to make a few points:
Overall, I encourage you and others on the EA Forum to not view our first version of the welfare range estimates as our final word on this. The book version, Weighing Animal Welfare, is more systematic, and we hope to improve on the methods in the future. But even still, I don’t think that the original version commits one to the view that very simple animals should dominate our calculations absent other highly controversial normative and meta-normative assumptions.
Thanks for sharing your thoughts, Laura!
Could you clarify why your methodology is supposed to apply to silkworms, but not nematodes? I agree nematodes have a less complex brain and nervous system, but silkworms are also less complex than other animals, so I do not understand how you are deciding when your methodology is supposed to be applicable. Did you preregister the animals to which you thought your methods should apply to?
My understanding is that estimating RP's mainline welfare ranges involved tens of judgement calls similar to the one you made to get the probability of sentience of nematodes. My broader point is that I do not know what majorly distinguishes nematodes from silkworms for you to think only the latter are reasonably covered by your methodology.
I had understood the estimates in the sheet which is no longer public were preliminary. However, it is still the case that the welfare range conditional on sentience under the pleasure-and-pain-centric model is proportional to the sum of the probabilities of the respective proxies being present? If so, for RP's probability of sentience of nematodes of 6.8 %, a single behavioural proxy likely to be absent results in a welfare range of nematodes conditional on the rate of subjective experience of humans of at least 2.31*10^-4 (= 0.068*0.00339), which both me and Nick consider high.
The conversion from qualitative probabilistic descriptions to probabilities adds uncertainty, but I do not think it the driver of disagreement. In my mind, and I guess Nick's, the major issue is that the effect of the presence of behaviours on the welfare range is not moderated by neural complexity. RP's mainline welfare ranges consider "one-ninth weight to the possibility that an organism’s welfare range [conditional on sentience, and the rate of subjective experience of humans] is equal to the number of neurons it possesses relative to humans". So an organism having 0 neurons only decreases its welfare range conditional on sentience, and the rate of subjective experience of humans by 1/9. I understand having no neurons at all would also lead to a lower probability of sentience, but I think it should directly imply a much larger decrease in the welfare range conditional on sentience.
What is your best guess for the probability of sentience of nematodes? It could be lower than 6.8 %, but still very far from Pascalianly low. I think reasonable approaches to deal with meta-normative uncertainty (about how to aggregate the recommendations of different moral theories) should not dismiss a 6.8 % or slightly lower chance of causing huge amounts of suffering.
In the book, "10 percent [weight is assined] to the equality model", under which the welfare range conditional on sentience is 1. So the final welfare ranges conditional on sentience are at least 0.1 (= 0.1*1). Do you endorse the estimates presented in Table 8.6 of the book over RP's mainline welfare ranges?
Hi Vasco,
When Bob was selecting the species, he was thinking of adult insects as the edge cases for the model (bees, BSF). He included juveniles to see what the model implies, not because he really thought the model should be extended to them. You'll notice that, in the book, the species list narrows considerably partly for this reason.
On the points related to sentience-conditioned welfare ranges, e.g. "So an organism having 0 neurons only decreases its welfare range conditional on sentience, and the rate of subjective experience of humans by 1/9. I understand having no neurons at all would also lead to a lower probability of sentience, but I think it should directly imply a much larger decrease in the welfare range conditional on sentience."
I think it's a mistake to point to a hypothetical sentience-conditioned welfare range, which is an intermediate step in the calculations, for an animal that has zero neurons as indicative of an issue with the methodology overall for animals with complex brains.
Put straightforwardly, if an animal has zero neurons, it would have a welfare range of 0 overall, because I would give it a zero percent chance of being sentient, which affects all the models.
I also am not going to put a precise probability of sentience on nematodes, but I do think it's much much closer to zero and crosses the threshold of being Pascal's mugged.
I'm finding these discussions very draining and not productive at this point, so will not be engaging further in this debate.
Thanks, Laura.
I encourage you to disclaim in the post with RP's mainline welfare ranges that Bob does not think the methodology used to produce them is applicable to silkworms. In practice, what does this mean? Would it be reasonable to neglect beings to which your methodology is not supposed to apply? Why is the methodology applicable to black soldier flies (BSFs), but not silkworms? I understand a methodology can be more or less applicable, but I still do not understand which concrete criteria you are using. I also think the applicability of the methodology should ideally be taken into account in the estimates such that these are more comparable.
I suggest people account for the lower applicability of your methodology to less complex organisms by using welfare ranges equal to the geometric mean between RP's mainline welfare ranges, and the number of neurons as a fraction of that of humans. Does this seem reasonable?
I am not certain that neurons are required for an organism to have a non-constant welfare, so I think organisms without neurons have welfare ranges above 0. I guess you mean that organisms without neurons have a welfare range of roughly 0, but exactly how close to 0 matters. As I say in the post, "Rounding to 0 a probability of sentience, or welfare per animal-year close to 0 introduces an infinite amount of scope insensitivity. Regardless of the number of beings affected, the change in their welfare will be estimated to be exactly 0".
Could you elaborate on why you seem to believe the probability of sentience of nematodes is Pascalianly low, and therefore arguably much lower than RP's mainline estimate of 6.8 %? I feel like one can reasonably argue from this that the probability of sentience of silkworms is also Pascalianly low, and therefore not worry about improving the conditions of BSFs and mealworms, which RP estimates will be 417 billion in 2033.
Feel free to follow up later if you are finding this discussion draining, and not productive. I think it would be good for RP to write a post clarifying the extent to which the methodology used to produce RP's mainline welfare ranges apply to the animals covered and not covered, and why.
I would say the probability of sentience of nematodes is higher than 6.8 %. From Andrews (2024):
A few responses to @Bob Fischer and @Laura Duffy
Love points one to three from Bob! Perhaps unsurprisingly once he starts disagreeing with me I have some issues.
1. I think I've been misrepresented somewhat. I never claimed that the moral weights project did this “Sum the number of proxies found for a species and divide by the total number of proxies to get the welfare range.”
What I said in the comment was "BOTH their sentience ranges and their behavior scores rely heavily on the presence of pain response behavior".
And In a previous post I did comment that Median final welfare ranges are fairly well approximated by the simple formula Behavioural Proxy sum x Sentience (see graph).
So indeed headline numbers did actually turn out pretty close to the rsult your statement..... "If that were true, then the number of proxies would straightforwardly determine the maximum difference in welfare ranges" . I might be misinterpreting what you mean by this though.
(Behavioral proxy percent) x (Probability of Sentience) = Median Welfare range
2. I stand by (for the moment) my opinion that both the behavioral proxies and Sentient probabilities DO seem to guarantee pretty high final moral weight numbers, although we all will have very different opinions on what 'high' means.
I don't understand how you chose the 0.5% chance of sentience for your low-end calculation? Its far lower than any number in your model The lowest number in your sentience modelling for a nematode is 6.8%, and the silkworm which was included in the MWP is 8.5%. Why pick a number for the example 13x lower than you model actually generated? The 6.8% number from your model would bring a calculation of more like 0.068x0.875x 5/80 which equals 0.0037, or 0.37% as a low end number. This by my lights at least isn't a very low baseline moral weight, but I understand if some would consider that a decently low baseline.
I agree that you have individual models with a low baseline but I'm discussing your overall process. Using your original overall process I still think that high numbers are guaranteed. Also if your method decides to combine bunch of models where some of them are close to P = 1, balanced with other models which are P=0.00001, then you're going to get something in-the-middle-ish (say 0.2-0.8) which also seems high to me.
Also as a side note (less important) I think that 5/80 for behavioural proxies is pretty hard to get for anything that moves around. Anything that has evolved to move is likely from an evolutionary standpoint to be attracted to things, withdraw from things and have some kind of way to remember that - otherwise they wouldn't survive. Maybe that does mean that anything that has evolved to move has a high chance of being sentient though, its an interesting question I know has been discussed before (Can't remember where).
I was surprised to hear "We don’t really put much stock in the probability of sentience estimates, which weren't the focus of the project and are subject to much more uncertainty than the welfare range estimates themselves conditional on sentience". Given that the sentience number is half the final calculation for your headline numbers, which are used freely and widely for expected value calcluations, the sentience number seems pretty important. It also does seem like you put a lot of work into estimating them. Given this statement "On reflection, I think lower numbers are more appropriate than 6.8%, and I really would not anchor on that as “RP’s own lights” I wonder whether reasonable options might be
1. Review the sentience numbers from the project and adjust them to where your thinking is now
2. Not publish a sentience-adjusted moral weight - Instead publish your unadjusted welfare ranges and let people choose their own best-guess sentience multiplier.
Thanks for the great points, Nick. Strongly upvoted.
Hi Bob.
Assuming i) expectational total hedonistic utilitarianism, ii) nematodes are sentient, and iii) other animals are not sentient, would you still "think that any theory of change for the smallest animals begins with key victories for larger animals" is principled? I only endorse i), not ii) and iii). However, I think I should act roughly as if ii) and iii) are true, as I estimate effects on nematodes account for the vast majority of the effects of interventions on animals.