That's really interesting, and honestly pretty surprising - I'd really have to quite radically change my view if it turns out Freedom Farms have found a way to raise >5000 animals on one farm in conditions which are broadly acceptable. If I understand you correctly you're saying that each individual farm could plausibly be much smaller than 5000 animals though, which I would still find interesting that there's a way for the system to produce meat in aggregate without atrocity-level cruelty, but less challenging to my existing worldview because I think it is the 'factory' element of factory farms which is what drives them to be especially cruel.
I'd be very interested in anything you can find on the distribution of farm sizes - or if you can wait a week or two for me to get some work deadlines out the way I'd also be happy to investigate myself and get back to you.
I'm a bit confused. It answers your question unless you believe there are farms with more than half a million chickens / 5000 pigs under farm at a time which are not 'Factory' farms. Do you believe such farms exist? Do you have any evidence they exist? If not, in what way has your question not been answered?
Yes; the Environmental Protection Agency uses various criteria to distinguish between 'Animal Feeding Operations' (AFOs) and 'Concentrated Animal Feeding Operations' (CAFOs, aka Factory Farms). Within this, there is further subdivision between small, medium and large CAFOs. The definition of a 'large CAFO' relies exclusively on the number of animals in that AFO so you can confidently identify a 'large CAFO' using the Sentience Institute methodology. This will undercount the true number of factory farms, since it will miss eg some 'Medium CAFOs' which need to be a certain size AND meet some other criteria about how they handle sewage, but since most factory farmed animals are farmed in Large CAFOs it doesn't make much difference.
To be clear the Sentience Institute itself is beyond reproach, describing their approach as being "We estimate that 99% of US farmed animals are living in factory farms at present", which is totally unambiguous.
I'm quite sympathetic to the idea of moral arguments treating the basic unit of 'meat' as being the animal - that seems to be the morally relevant unit
I researched this fairly extensively a few years ago, and it is a true (but maybe misleading, depending on context) claim.
The usual source for this claim is the Sentience Institute, although if you go to a huge amount of effort to check government records by hand you get basically the same number so I'm not worried that the source is somewhat biased. They get the 99% number by using USDA data on the size of farms, and then defining any farm over a certain size as a 'factory' farm. This makes sense to me, and is how I'd approach the definitional problem unless I was shown extremely compelling evidence of a farm processing eg 5000 pigs a year using traditional 'mom and pop' techniques.
The reason the claim might be misleading is that it is using 'meat' as a shorthand for 'meat animals' rather than eg 'carcass weight'. Because the vast majority of farmed animals are chickens, and chickens are overwhelmingly factory farmed when farmed, the result of the Sentience Institute methodology is that it appears the overwhelming percentage of farmed animals are factory farmed. In fact, by carcass weight it is 'only' about 90% of meat which is factory farmed.
This could in theory drop a bit lower if you say that the process for factory farming cows is not all that morally relevant for the 2/3 of their life they spend in pastures and hence were very exacting with your definitions (ie maybe for the sake of argument we would say something like "85% of meat-by-weight is farmed in a way that would be extremely distressing for the animal" rather than "99% of meat is factory farmed"), but it is hard to get very much lower than this because pigs and chickens are almost exclusively raised in cramped factory conditions and also make up a great deal of the meat we eat.
Ah sorry, I seem to have slightly misled you. The quote which you attribute to Scott is actually written by me and the co-author of an adversarial collaboration hosted on Scott's old blog. I'm not the author of the Adventist Health Study linked, much that I wish I was!
If you have questions about the statistics in the adversarial collaboration I'd be more than happy to talk through the approach we used. If you have questions about AHS2, by all means let's share the work of finding the answer but I can't promise to be any more help than any other random person you'd pick off the street
Hi Elizabeth, I'm the co-author of the piece linked above. You're absolutely right we chose to focus on the omnivore-vs-vegetarian comparison, for a variety of different reasons. However, AHS-2 does have some comparisons between omnivores to vegans. From the abstract: "the adjusted hazard ratio (HR) for all-cause mortality in all vegetarians combined vs non-vegetarians was 0.88 (95% CI, 0.80–0.97). The adjusted HR for all-cause mortality in vegans was 0.85 (95% CI, 0.73–1.01)". So depending on how strict you are being with statistical significance there's somewhere between a small signal and no signal that veganism is better with respect to all-cause mortality than omnivorism.
I think AHS is the best data we've got on this topic, but I'd be cautious about over-interpreting it. In my mind the biggest criticism is that Adventists are generally more healthy than the typical American (they do a lot more exercise, avoid alcohol and tobacco etc), which leads to extremely pernicious selection bias. For example, it could be that a vegan diet is much healthier than an omnivorous diet if you are the kind of person who spends a lot of time worrying about your health generally, but the risk of getting the wrong nutrients is so high with a vegan diet that it is harmful to people who are not otherwise concerned about their health. So I'm not confident the very slight improvement in overall mortality from switching from a vegetarian diet to a vegan diet can be judged to be a real effect from AHS alone.
On the other hand, I think I would be confident enough in the AHS data to say that it shows that veg*nism does not entail a tradeoff on the 'years of life lived' axis. The most conservative reading of the data possible would be that a veg*n diet has no effect on years of life lived, and I think it is probably more reasonable to read the AHS study as likely underestimating the benefits a veg*n diet would give the average person. Obviously 'years of life lived' is not the same thing as 'health' so I'm not saying this is a knock-down argument against your main point - just wanted to contextualise how we were using the data in the linked piece.
Thank you, really interesting comment which clarifies a confusion I had when writing the essay!
There's no single right answer here, and several good approaches depending on the application to which you want to put the information. A reasonable estimate is that a baby born today and then given the best life modern society can give it will accrue around 24 QALYs (at a 3.5% discount rate). This is equivalent to 70 undiscounted QALYs, but you absolutely must discount to some extent in this case, because a QALY now is clearly preferred to a QALY in 80 years time.
This value is found by multiplying the life expectancy of a baby born in the UK in 2020 by the typical quality of life that baby will experience each year of their life. Life expectancy is pretty straightforward to calculate (I take it from the Office for National Statistics), quality of life is much more complicated - the standard in the field is Ara, R. and Brazier, J.E. (2010), but this is getting a bit out of date now. https://eprints.whiterose.ac.uk/11177/1/HEDS_DP_10-11.pdf
Obvious problems with the translatability of this approach is that the Ara & Brazier paper only applies to the UK. Different countries will have different profiles of population health (which is obvious) and also different ways of interpreting how health applies to QALYs (which is less obvious). For example, if old age affects your ability to walk easily / comfortably then this might matter more to your QALYs in dense walkable European cities than car-focussed American suburbs (I have no idea if this mechanism is true, just giving it as an example). This will be particularly challenging if you're trying to calculate the number of QALYs a person accrues in a global health context, because there is limited research in the area.
Could anyone explain why the experts think Angry Birds will be so hard? It seems like absolutely ideal conditions for reinforcement learning, in the sense that inputs are very simple and there is a very straightforward way of determining how successful each shot is. Is the limitation that it has to be an Artificial Intelligence which succeeds at the problem, rather than a dumb reinforcement algorithm which happens to be really well suited for the task?