This is an interesting question. Even if the conditions were not fulfilled for almost all cases, I have not yet seen an answer to this question concerning ethical judgements in cases where these conditions are fulfilled.
When considering this question, the more general point is that the way that different animals are farmed should make some difference in ethical judgement. This post is about quantitative comparisons of suffering, but the differences in farming seem to be neglected. In particular, Brian Tomasik’s table on which this post is based ranks different animals by “Equivalent days of suffering caused per kg demanded”, but this comparison is strongly driven by column 5, “Suffering per day of life (beef cows = 1)”:
“Column 5 represents my best-guess estimates for how bad life is per day for each of type of farm animal, relative to that animal’s intrinsic ability to suffer. That is, differences in cognitive sophistication aren’t part of these numbers because they’re already counted in Column 4. Rather, Column 5 represents the “badness of quality of life” of the animals. For instance, since I think the suffering of hens in battery cages is perhaps 4 times as intense per day as the suffering of beef cows, I put a “1“ in the beef-cow cell and “4” in the egg cell.”
I don’t mind using subjective estimates in such calculations, but note that this assumes that an average day in the life of all of these animals is a day of suffering. This may be the case in factory farming, but I doubt that that is a necessary assumption for alpine pasture. However, if life is good on an average day of a cow in alpine pasture, we would need a negative sign.
You can enter a negative sign in the table. However, you’ll get an error message, because the whole table is based on the assumption that “Suffering per day of life” is positive. With this assumption, raising the “Average lifespan (days)” (Column 2) increases the “Equivalent days of suffering caused per kg demanded”. If this is the case, then it is good that farmed animals are “killed at a fraction of their natural lifespans”.
Moreover, Tomasik writes, “Column 6 is a best-guess estimate of the average pain of slaughter for each animal, expressed in terms of an equivalent number of days of regular life for that animal. For instance, I used “10″ as an estimate for broiler chickens, which means I assume that on average, slaughter is as painful as 10 days of pre-slaughter life.”
If the animals actually enjoy their life (negative number in column 5), you can still use that column by entering a negative number in column 6; these are the days an animal would forgo if it could avoid being slaughtered. So if we take the numbers in the table for beef and assume that column 5 is −1 (I don’t know how to interpret this though, as this is all relative to beef cow suffering), we need to enter −395 in column 6 to get to zero in column 7.
I’d be interested if someone has a more general calculator.
This is an interesting question. Even if the conditions were not fulfilled for almost all cases, I have not yet seen an answer to this question concerning ethical judgements in cases where these conditions are fulfilled.
When considering this question, the more general point is that the way that different animals are farmed should make some difference in ethical judgement. This post is about quantitative comparisons of suffering, but the differences in farming seem to be neglected. In particular, Brian Tomasik’s table on which this post is based ranks different animals by “Equivalent days of suffering caused per kg demanded”, but this comparison is strongly driven by column 5, “Suffering per day of life (beef cows = 1)”:
I don’t mind using subjective estimates in such calculations, but note that this assumes that an average day in the life of all of these animals is a day of suffering. This may be the case in factory farming, but I doubt that that is a necessary assumption for alpine pasture. However, if life is good on an average day of a cow in alpine pasture, we would need a negative sign.
You can enter a negative sign in the table. However, you’ll get an error message, because the whole table is based on the assumption that “Suffering per day of life” is positive. With this assumption, raising the “Average lifespan (days)” (Column 2) increases the “Equivalent days of suffering caused per kg demanded”. If this is the case, then it is good that farmed animals are “killed at a fraction of their natural lifespans”.
Moreover, Tomasik writes, “Column 6 is a best-guess estimate of the average pain of slaughter for each animal, expressed in terms of an equivalent number of days of regular life for that animal. For instance, I used “10″ as an estimate for broiler chickens, which means I assume that on average, slaughter is as painful as 10 days of pre-slaughter life.”
If the animals actually enjoy their life (negative number in column 5), you can still use that column by entering a negative number in column 6; these are the days an animal would forgo if it could avoid being slaughtered. So if we take the numbers in the table for beef and assume that column 5 is −1 (I don’t know how to interpret this though, as this is all relative to beef cow suffering), we need to enter −395 in column 6 to get to zero in column 7.
I’d be interested if someone has a more general calculator.