I am a generalist with a focus on data and research.
I work as a researcher for Animal Advocacy Africa.
I participated in Charity Entrepreneurship's Research Training Program in 2023.
I took the GWWC pledge in 2020.
My vote may be surprising for someone working at @AnimalAdvocacyAfrica. So let me explain:
Strongly upvoted!
Being responsible for M&E at a meta organisation myself, we're doing exactly what you wrote: We report the impact we know about. We have a clear internal tracking system. But over the years there have been many instances where we heard about something and said: "Wait a minute, this is huuuge! Why didn't we know about this until now?" And then we reached out to the respective people and tried to better estimate our counterfactual contribution.
There may be better ways to do M&E than we do. But it's hard and proactivity from recipients makes our life much easier.
Thanks for the detailed explanation and really cool to see that you're using ICAPs as well now (we do that same at Animal Advocacy Africa - see our review)!
One question: How would you include the volunteering of one of your co-founders in terms of a cost-effectiveness estimate? I imagine that this leads to an underestimation of your costs and an overestimate of marginal cost-effectiveness (additional funds could not be spent as efficiently, since you cannot add more similar volunteers)? Is this a topic that any funders or evaluators of your work ever raised? (It's a question I'm generally curious about, just thought you may have some unique insights on this due to your situation. Not questioning the cost-effectiveness of your work.)
Thanks for your work, I highly appreciate the community!
Thanks for your interest in our work!
I think the traditional settings are better for animal welfare, though there are huge differences and I've come to realise that traditional vs. intensive is a bit of a false dichotomy (but it's useful for communication purposes). To lay out my perspective in a bit more detail (I am not an animal scientist or anything and more of a generalist researcher who has read some of the work done by Welfare Footprint Project an others, attended some webinars, etc.):
All of these categories are of course still heavy simplifications (e.g., enriched battery cages and deep littre systems for hens could both fall into the better-regulated factory farming settings category). And of course none of this tells us much about which (if any) of these lives are net positive/negative, but we already discussed that :)
You may find the concept of a "animal welfare Kuznetz curve" interesting. Though I'm not sure how strong the evidence behind this is.
Sorry for the long answer, but hope it's relevant/interesting. I think our top priority should be to avoid the worst outcome on this list (the first bullet point), which is what we are trying to do at AAA. Also because the numbers in that category could grow massively (also think about largely unregulated industries such as shrimp or insect farming).
Final point: I think people strongly underestimate the extent to which animal agriculture is already industrialised in parts of Africa (I did so too before digging deeper into this). This 2022 source cites 60% of hens in Africa being kept in cages. There tend to be a lot of smallholder farmers, but they keep quite a small number of animals per capita, so their animal numbers are outweighed by bigger industrial producers.
Thanks for raising this question, it's something I have thought a lot about as well.
You may find this post interesting, which I wrote just a few weeks ago.
TL;DR: I think it is extremely unclear which lives are net positive or negative and knowing the answer to this question is extremely hard. Factoring in this uncertainty leads to a stronger emphasis on (1) welfare-improving interventions (e.g., moving from factory farming to organic farming) and (2) interventions that reduce the number of lives that very likely seem not worth living (e.g., those of layer hens in battery cages).
I am quite skeptical whether different types of animals in organic farming conditions have lives worth living. But it seems like a reasonable strategy to try to move in this direction.
Thanks for writing this up and for highlighting this weakness in our prioritisation report (example 1).
Since the publication of this report (which was quite an early piece of research for me), I've built a lot more of these models and strongly agree that it's important to not just blindly use a weighted average. (Didn't change anything about our research outcomes in this case, but it could have important effects elsewhere.) Geometric mean is important. I also sometimes use completely different scoring tools (e.g., multiplication, more BOTEC style, as MichaelStJules has commented). It's always helpful from my experience to experiment with different methods/perspectives.
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Thank you for your willingness to transition! I strongly recommend you reach out to the One Health and Development Initiative. They are working with farmers in Nigeria on this topic. If you don't receive a response from them, please let me know / contact us at Animal Advocacy Africa and we can make an introduction.
Thanks Ben. Excited to hear about your research! Please do share that with me/us, as soon as it's ready :)