Edit: this is out of date, see https://forum.effectivealtruism.org/posts/YuFD4v7DFBcM57eSA/consequences-of-animal-product-consumption-combined-model

The "meat eater problem" is the problem that, the more we enrich people, the more meat they will eat - which increases animal suffering.

Well I took my old analysis here, that was estimating the magnitude of the meat eater problem. Then I decided to combine it with the animal suffering numbers from my more recent estimate of the net farm animal suffering caused by farming.

In the process I found that my meat eater calculation included a critical misreading of York & Gossard. Fish consumption does increase as African countries get wealthier, by an estimated 0.79kg annually per $1000 GDP.

I'll suppose that 0.6kg out of this marginal increase is from farming. I'll suppose that 0.4kg of this is like catfish (because the similarly small tilapia is commonly farmed in Africa and other poor regions) and 0.2kg is like salmon.

Plugging these numbers into the animal welfare spreadsheet as a "diet" (too simple an action to merit uploading - it's just the kg quantities from the meat eater sheet, plus 0.4k for catfish and 0.2kg for salmon) I get -720 welfare day-points for the year's marginal meat consumption. This means that a $1,000 increase in GDP per capita for a person in Africa has an animal cost that is equivalent to -2 points on a -100 to +100 scale, which is 4% of the average welfare difference between living in India and living in Canada, using my sentience weights. Things may be worse in India/Bangladesh: presumably they fall somewhere between the average relationship for Asia (2.31kg) and the relationship for the West, Africa and the Middle East (0.79kg). The authors suggest that cultural factors drive the difference.

I'm ignoring the climate change costs of meat consumption because that can and should be left as part of the more general question of the link between economic development and long run GHG emissions. In any case, GHG emissions only make a relatively small difference on any short or medium run outlook, as I argued when I posted the farming analysis.

Given these assumptions about animal farming (which point heavily towards animal charity in the first place, anyway - see Shulman's comment in the original meat eater problem thread) I think these numbers suggest general agnosticism about the direct impacts of economic growth aside from the question of wild animal suffering. I would make an exception for pulling people out of serious poverty because the wealth-welfare relationship is solidly logarithmic. Per Footnote 7, York & Gossard seem to think that neither a linear model (which they present, because it's simpler) nor a logarithmic model (which they claim to have done) is decisively a better fit for the relationship between wealth and animal consumption.

Comments8


Sorted by Click to highlight new comments since:

Upvote for noticing an error in your model and announcing the update -- that's a good habit, and I like the idea of posts on the Forum which encourage said habit.

I'm sure you had a strategy in mind for the current title, but I'll still suggest choosing something more descriptive; this seems like it might be confusing to link to in a few months (especially for people who don't recognize the name "kbog").

Thanks for posting this update. I'm fairly new to the forum, so I missed the original posting of the two links you've provided.

These posts seem closely related to meat consumption Kuznets curves. I am not an expert in this literature and I intend to do more reading on the topic, but a quick search found this 2013 paper, which might be of interest to you. I've only briefly looked over the paper, but their results seem to update and support the findings of York and Gossard (2004). It seems that the expected turning point of the meat consumption Kuznets curve occurs at a per capita income of US$45,263 in the full sample of 150 countries (in their sample, only 3 countries reach this threshold).

Not that Kuznets curves should be interpreted as causal relationships, but I was naively hopeful that it might occur here.

Anyway, I'm interested to see your animal suffering extension of this idea. I think there is a small literature on animal welfare Kuznets as well, which may be interesting. Thanks for sharing your work and your updates!

Interesting. Y&G said that they checked for a curvillinear relationship and the results "do not suggest substantively different conclusions," which I understand to mean that there isn't good evidence for a Kuznets curve.

I did not know that India's average consumption was so low, perhaps their marginal increase in consumption is not much either.

Looking at Table 3. Am I reading this right: the relationship for low income countries is +0.0188kg (annually) per $1 annual income? That's 18.8kg from $1000 which is about an order of magnitude greater than the Y&G results.

I just had a very quick look-through of Y&G, but it looks like they tested for curvilinear (i.e., a log transformation of GDP) only. I could be missing a footnote, but I don't believe they included a second-order GDP term to test a polynomial relationship.

However, the findings of the 2013 paper largely support that, from my quick reading. The estimation of the second-order coefficient is significant but basically zero for most of the different data slices. Further, when they back out the inflection points, the income levels for the turning point of meat consumption are much higher than the turning points for other Kuznets curves ($45K relative to $3K-$12K in the general environmental KC literature).

But actually now that I'm digging in to the results, I think the tables report different numbers from the text. Neither Y&G nor RC&M are forthcoming about their units, which is frustrating, but at least Y&G discuss their results clearly. I'm a bit frustrated about the write up of this paper. I believe that you're reading the results correctly, unless the authors are actually using per capita GDP in thousands like Y&G and failing to report that (although that result wouldn't make any more sense). It does seem a lot higher than Y&G.

I'm losing faith in this paper now (at least in the result discussion), but I would like to check out the literature further and see if there are any other newer papers that can provide insight into the differences.

Thanks for following up on this and posting a correction. I'd suggest updating your original post to include your updated fish consumption estimates. Or if that's too much work, a correction on that post with a link to this new one would be helpful. As it stands now, it still says: "I also excluded fish because there is no significant correlation between income and fish consumption in African countries." I think people are likely to find your original post when researching the meat eater problem, especially since the corresponding EA Concepts page cites it.

kk will add a link. But major edits would be a pain because the old post is in HTML.

do 3rd world countries eat factory farmed meat?

I'm not sure exactly, my perception is that (1) often they don't currently but the new growth is more likely to be factory farming, (2) traditional farming isn't clearly better. Farming in the West is probably covered by more welfare regulations than farming in poor countries.

More from kbog
136
kbog
· · 4m read
76
kbog
· · 36m read
Curated and popular this week
Garrison
 ·  · 7m read
 · 
This is the full text of a post from "The Obsolete Newsletter," a Substack that I write about the intersection of capitalism, geopolitics, and artificial intelligence. I’m a freelance journalist and the author of a forthcoming book called Obsolete: Power, Profit, and the Race to build Machine Superintelligence. Consider subscribing to stay up to date with my work. Wow. The Wall Street Journal just reported that, "a consortium of investors led by Elon Musk is offering $97.4 billion to buy the nonprofit that controls OpenAI." Technically, they can't actually do that, so I'm going to assume that Musk is trying to buy all of the nonprofit's assets, which include governing control over OpenAI's for-profit, as well as all the profits above the company's profit caps. OpenAI CEO Sam Altman already tweeted, "no thank you but we will buy twitter for $9.74 billion if you want." (Musk, for his part, replied with just the word: "Swindler.") Even if Altman were willing, it's not clear if this bid could even go through. It can probably best be understood as an attempt to throw a wrench in OpenAI's ongoing plan to restructure fully into a for-profit company. To complete the transition, OpenAI needs to compensate its nonprofit for the fair market value of what it is giving up. In October, The Information reported that OpenAI was planning to give the nonprofit at least 25 percent of the new company, at the time, worth $37.5 billion. But in late January, the Financial Times reported that the nonprofit might only receive around $30 billion, "but a final price is yet to be determined." That's still a lot of money, but many experts I've spoken with think it drastically undervalues what the nonprofit is giving up. Musk has sued to block OpenAI's conversion, arguing that he would be irreparably harmed if it went through. But while Musk's suit seems unlikely to succeed, his latest gambit might significantly drive up the price OpenAI has to pay. (My guess is that Altman will still ma
 ·  · 5m read
 · 
When we built a calculator to help meat-eaters offset the animal welfare impact of their diet through donations (like carbon offsets), we didn't expect it to become one of our most effective tools for engaging new donors. In this post we explain how it works, why it seems particularly promising for increasing support for farmed animal charities, and what you can do to support this work if you think it’s worthwhile. In the comments I’ll also share our answers to some frequently asked questions and concerns some people have when thinking about the idea of an ‘animal welfare offset’. Background FarmKind is a donation platform whose mission is to support the animal movement by raising funds from the general public for some of the most effective charities working to fix factory farming. When we built our platform, we directionally estimated how much a donation to each of our recommended charities helps animals, to show users.  This also made it possible for us to calculate how much someone would need to donate to do as much good for farmed animals as their diet harms them – like carbon offsetting, but for animal welfare. So we built it. What we didn’t expect was how much something we built as a side project would capture peoples’ imaginations!  What it is and what it isn’t What it is:  * An engaging tool for bringing to life the idea that there are still ways to help farmed animals even if you’re unable/unwilling to go vegetarian/vegan. * A way to help people get a rough sense of how much they might want to give to do an amount of good that’s commensurate with the harm to farmed animals caused by their diet What it isn’t:  * A perfectly accurate crystal ball to determine how much a given individual would need to donate to exactly offset their diet. See the caveats here to understand why you shouldn’t take this (or any other charity impact estimate) literally. All models are wrong but some are useful. * A flashy piece of software (yet!). It was built as
 ·  · 16m read
 · 
Over the years, I have learned many things that are rarely taught about doing cost-benefit or welfare analysis. Here are a few things that I often end up repeating when I mentor individuals or teams working on these kinds of projects: A Point Estimate is Always Wrong For any purpose other than an example calculation, never use a point estimate. Always do all math in terms of confidence intervals. All inputs should be ranges or probability distributions, and all outputs should be presented as confidence intervals. Do not start with a point estimate and add the uncertainty later. From day one, do everything in ranges. Think in terms of foggy clouds of uncertainty. Imagine yourself shrinking the range of uncertainty as you gather more data. This Google Sheets Template allows you to easily set up Monte Carlo estimations that turn probabilistic inputs into confidence-interval outputs. Use Google Sheets I have experience programming in half a dozen languages, including R. Sometimes they are useful or necessary for certain kinds of data analysis. But I have learned that for almost all cost-benefit analyses, it is best to use Google Sheets, for several reasons. The main one is transparency. A cost-benefit or welfare analysis is a public-facing document, not an academic one. You should not use esoteric tools unless absolutely necessary. Anyone in your society with basic literacy and numeracy should be able to read over and double-check your work. When you are done and ready to publish, you make your Sheet visible to everyone, and add a link to it in your report. Then anyone can see what you did, and effortlessly copy your code to refine and extend it, or just play around with different priors and assumptions. This transparency also helps improve results and correct mistakes as you are doing the work. The more people review your math, the better it will be. The number of people who are willing and able to look over a spreadsheet is orders of magnitude higher than the