I am a generalist with a focus on data and research.
I work for Animal Advocacy Africa.
I participated in Charity Entrepreneurship's Research Training Program in 2023.
I took the GWWC pledge in 2020.
Thanks Mo! I am no expert on moral uncertainty and how to deal with it, so I'm sure there are much more knowledgeable people than myself to judge. That's also why I don’t want to imply that robustness is the uniquely correct approach. I do like the metaphor of robustness as “directions that are uphill on most maps” and this is the kind of visualisation I hoped the post could spark. I'd be curious to hear more about how different approaches of dealing with moral uncertainty would "aggregate over maps".
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.
I love it, thanks for playing along!