Carry out animal welfare interventions OR Research the effectiveness of animal welfare interventions
Naively assume that your money is entirely being used either to implement an intervention, or to research that intervention.
Donating towards e.g. SWP might help us understand whether that intervention is helpful, by giving us more effectiveness data from the field.
You might find it helpful to indicate if you’ve read the post that inspired this! Animal Welfare Has An Evidence Problem
I could not submit my vote as the time was closed. I am sharing my perspective below after reading all the comments and the original post.
The voting distribution in this poll exposes a challenging dilemma for the movement. On one side, several voters point out that we cannot confidently verify the absolute direction of our impact on the ground, creating a high risk of wasting money or accidentally causing net harm. On the other side, it is rightly noted that building effective field organizations is slow and difficult. If we starve field teams to fund data science, we risk losing the operational vehicles needed to execute better strategies down the line.
It is always good to learn from other movements where similar challenges were faced.
We can see this exact tradeoff by looking at the history of education reform in India, particularly the journey of the NGO Pratham and their Teaching at the Right Level model. For years, the global development community debated whether money should be spent directly on teaching children or on conducting rigorous evaluations to see if the pedagogy actually worked.
If early funders had treated this as a zero-sum choice, the program would have failed. Shifting all funding to pure academic research would have killed the field team, leaving no one to actually teach the children. But shifting all funding to blind scaling would have been just as dangerous. Early versions of the program actually failed to show impact when integrated directly into standard school hours because teachers felt forced to stick to the rigid official curriculum. Had the team just scaled up blindly without real-time data, millions of dollars would have been wasted on an ineffective approach.
Pratham resolved this by turning their active field operations into the research loop itself. They deployed teaching teams to run short, targeted learning camps outside school hours, testing the pedagogy in real time while collecting immediate data on student progress. The field team was not just executing an intervention blindly, and the researchers were not just sitting in distant offices. They integrated the evaluation directly into the daily operational DNA of the field vehicle.
Instead of treating evidence building and field execution as a zero-sum funding tradeoff, the solution is to treat them as an integrated pipeline. The focus should be on shifting how field organizations operate during their initial phases.
Instead of building organizations that optimize blindly for rapid scaling on day one, early field deployment should be designed intentionally as an active data gathering exercise. When a field team treats its initial footprint as a live research engine, the conflict between research and action disappears. The execution itself becomes the primary tool used to eliminate the exact impact uncertainties the community is worried about.
If we do not integrate research directly into the daily operational DNA of our field teams, we will remain permanently stuck in this loop. We will either be driving blind with great execution teams, or map making with no vehicles left to drive.
I agree with Amanda’s basic thesis, but I don’t think “more research is absolutely essential” necessarily means “more research is the only thing that should get marginal funding.” Building an effective organization is very slow, expensive, and difficult, so even if an organization is carrying out plausibly net negative interventions now, it might be worth sustaining so there’s a vehicle ready to act on new evidence when it becomes available.
This doesn’t mean every animal org is too special to fail, just that functional, value-aligned orgs should be considered a valuable resource, and donors should consider the potential second-order effects of decreasing their support.
How much research is needed and what it takes to sustain an organization are hugely context-dependent, so I don’t mean my 50% vote very literally. Rather, I’m proposing it as prior that should be updated with context-specific information.
For what it’s worth, this is somewhat similar to how I think about whether to donate to farmed animal welfare vs. wild animal welfare.
There are vastly more wild animals than farmed and any land-use change affects wild animals, so it’s plausible that the impact of reducing factory farming is mostly a question of how it affects wild animals. I think the evidence supports something close to cluelessness about the net value of the average wild animal life, so until we do wayyy more research on wild animal welfare, we won’t know whether the second-order effects of reducing factory farming are good or bad.
But I don’t think that means we should pause the farmed animal advocacy movement until we’ve solved wild animal welfare science. There’s tremendous value to pushing society toward giving animals their due moral consideration, and the ideal world almost certainly doesn’t include factory farming. (Even if it does turn out to be the case that factory farming is actually good for the world on net because of its land use impacts, then surely there’s a way to achieve those effects without also torturing hundreds of billions of animals in the process.)
So I think we should be investing a lot in reducing our uncertainty (i.e., funding wild animal welfare research) while simultaneously building pro-animal power (i.e., funding farmed animal advocacy) even if we’re uncertain about the value of the interventions the animal movement is currently organizing around.
I’m 80% to the intervention, 20% to research. I would love MORE money than now to go towards researching effectiveness (I’m guessing its a lot less than 20% on the margin right now)
I was shocked though after reading the recent animal welfare post at how mixed the evidence base seems to be as to the benefits of commonly touted interventions. I’m dubious about interventions that might move a chicken from a very net-negative life to a slightly-less net-negative life. I naively assumed that cage-free was better than it seems to be. After seeing @Lewis Bollard’s TED talk I kind of assumed that cage-free interventions at least probably moved chickens to a net-positive life?
I would love as well to be more certain about animal sentience and suffering, but I’m skeptical that many research suggestions I’ve seen will make much progress, as I don’t believe we can have much confidence in sentience’pain from only observing behaviour. I still think this area deserves more than the meagre funding it gets though.
I think there should be more research to understand if funded initiatives are helpful or harmful (and by how much). Otherwise we may be wasting resources.
It makes sense in the long haul to analyze current practices, which must become redundant. Maybe starting with a sliding scale split of resources. We must keep up with changes happening on the ground in order to do the most good.
Yes I have read the post.
I want more money spent on improving AW. But I don’t think we’re as confident as I’d like us to be about which interventions are best. I’d especially like us to have more worked-out theories of change not just the next 10 years, but for the next 100. But theorizing needs to be backed up by good data.
There seems to be significant disagreement about the coefficient and even the sign of the impact of various interventions on animal welfare.