[6 of 6] "What would make you know it’s not working?"
There are three levels at which you might answer this question:
(1) How would you know if field-building was the wrong strategy?
- If AI changes the nature of research so much that academia becomes irrelevant.
- This seems the most plausible way our field-building strategy could be wrong, but so far we haven't found a strategy that seems more robust to the huge uncertainties created by AI. If you have an idea for an alternative strategy that seems reasonably likely to be much more robust than field-building, please let us know, because this is an active area of strategic research for us.
- If someone finds a way to reduce suffering for ~trillions of wild animals that doesn't require more research/technology (either to implement or to evaluate), that can be shown with high confidence to be net-positive even after accounting for effects on non-target species, and that seems likely to shift social norms toward caring explicitly about wild animal welfare over the long run.
- If there's massive social change in favor of wild animal welfare -- something like the way pollution and habitat destruction rapidly became issues of wide concern in the US between 1962 (when Rachel Carson published Silent Spring) and 1970 (when Richard Nixon founded the Environmental Protection Agency and Gaylord Nelson organized the first Earth Day). If that happened, it would be reasonable to expect an academic field to emerge somewhat organically, the way conservation biology did in the 1980s.
(2) How would you know if WAI's efforts weren't on track to succeed at field-building?
- This is the failure mode we invest the most in monitoring. We're tracking a wide range of metrics related to field growth and indicators related to our causal impact. We're still building up that system (collecting historical data, deciding which metrics are most relevant, etc.), but we hope to have an easily shareable dashboard sometime early in 2026. For now, I suggest looking at the supporting documents in Animal Charity Evaluators' 2025 recommendation of WAI to get a more detailed look at how we approach monitoring and evaluation.
(3) How would you know if the field wasn't on track to lead to real change for animals?
- We think it this will be pretty hard to get data on before the field is more established (i.e., at least another 5 years), because as long as the community is still evolving, its present form isn't necessarily representative of its long-term state.
- For now, we're looking for positive indications that our priorities are increasingly represented within the field: valuing highly abundant populations/taxa, researching invertebrates, considering counterfactuals, being open to human interference in nature, accounting for the possibility of net-negative lives, etc.
- Negative signs might include indications that some sort of sub-optimal culture is dominating and self-perpetuating (particularly concerning if the culture represents a relatively small part of society at large, because that would suggest our field is actively selecting for it, rather than failing to filter it out). For example, wildlife management science was heavily populated by hunters and anglers until recently; veterinary medicine is primarily funded by animal ag interests and continues to have a strong pro-farming culture. (I don't know to what extent these particular trends in academic subcultures exist outside the US.)
[2 of 6] Why hasn’t WAI implemented interventions yet?
In short: Because that’s not what we’ve been trying to do.
If we had been spending the last six years trying to find interventions that could be implemented as soon as possible, and our progress to date is all we had to show for it, then that would be extremely disappointing. If that’s what we’d been aiming for and this is where we landed, then I think it’d be fair to say we failed — or at the very least, we definitely shouldn’t be an ACE-recommended charity.
What we have been doing instead is pursuing a strategy that is entirely focused on building wild animal welfare science up into a self-sustaining academic field that is positioned to produce the research needed to reduce wild animal suffering as much as possible over the long run.
I’m glad you brought up Rethink Priorities and Happier Lives Institute, because I think the contrast between us is very illustrative. Like most EA research orgs, RP and HLI mostly conduct research with the aim of directly informing policymaking, philanthropy, or movement strategy. Although the particular topics they’re focusing on are highly neglected, those topics are often close enough to longstanding human concerns (e.g., public health, agricultural productivity) that they can build on the deep bodies of literature that have been developed by mature academic fields (e.g., development economics, human psychology, farm animal veterinary medicine).
Wild animal welfare science is at best several decades behind those fields. The problem is not that potential interventions haven’t been evaluated yet; it’s that we lack the basic scientific knowledge of how to evaluate most interventions. The few interventions we can evaluate with confidence are evaluable precisely because they have very limited impacts or only work under a narrow set of conditions.
That’s why we have optimized for field-building over intervention research: not because there are no interventions worth trying now, but because there’s a very low ceiling to how much impact you can have before you know how to measure welfare across different several classes and phyla, how to account for compensatory mortality, how to predict and monitor for effects on non-target species, etc.
Which is not to say we have done no research on interventions. Rather, we have chosen to research interventions insofar as we think it will contribute to field growth, such as by attracting interest and funding, providing opportunities to refine research methodologies, building bridges with relevant research communities, or simply serving as a proof of concept for the field.
I explicitly acknowledged your stated strategy and the need for foundational research. My question is when you expect that strategy to translate into real-world impact.
To move this forward, let’s try to crystallise what you’ve said:
1. What exactly counts as a self-sustaining academic field for wild animal welfare?
Is that defined by number of labs? Funding sources? Course offerings? Publication volume? ‘Self-sustaining’ risks becoming an unending horizon.
2. What does ‘the long run’ mean in practice?
A strategy without a time-bound target is very difficult to evaluate. Is the honest answer simply ‘as long as it takes’? As long as people are willing to fund it?
3. How much funding do you estimate is required to reach this self-sustaining point?
If the answer is ‘we don’t know’, that’s fine - but then we need some proxy indicators or budget ranges that would count as reasonable expectations.
Is the reality that donors are effectively funding an open-ended research project with no agreed stopping rule? Your answers make it hard not to reach that conclusion.
I'm not trying to exhaust you with relentless questions. I'm trying to separate the wheat from the chaff in what you've said. Long replies run the risk of diverting away from the central thrust of discussion.
Hi Siobhan! I’m the Science Director at WAI. I'm stepping in to answer your questions here because Cam is on medical leave.
So overall, if you think farmed animal welfare can easily absorb an additional $5M per year and maintain high cost effectiveness, and you prefer immediate gains to long term strategies, WAI and wild animal welfare may not be the ideal giving opportunity for you! But if you are comfortable with funding longer-term theories of change, we think it is as cost effective or more so in expectation than farmed animal welfare — particularly at the margin, as there is some reason to think that the farmed animal welfare movement cannot currently absorb more funding than Coefficient can provide.