this post was submitted on 03 Jan 2024
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Science of Cooking

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Welcome to c/cooking @ Mander.xyz!

We're focused on cooking and the science behind how it changes our food. Some chemistry, a little biology, whatever it takes to explore a critical aspect of everyday life.

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[โ€“] evasive_chimpanzee 10 points 10 months ago (1 children)

I just read the abstract, but it seems like interesting work. The thing that often bothers me in some studies in first-world countries is that vegetarians/vegans are probably better off than omnivores, and therefore live longer, while in poorer countries, the wealthier classes probably eat more meat.

I like that they are focusing on meat consumption, not identification as vegetarian, because the reality is that for poor people, you often eat what you can get. People often say that a vegetarian diet is cheaper, but that's not actually true. An omnivorus diet will always be cheaper; unless you think that every meal has to contain store bought meat. You could have a poor country where everyone is omnivorus, but eats very little meat on average, and a rich country where half of the population is vegetarian, but the other half more than makes up for it.

The only thing I can really point out that I don't like is that they used GDP-PPP to compare wealth between countries. That messes things up for places like Ireland where it's a reasonably wealthy country, but it's such a tax haven, you'd think it's all millionaires. There's also many countries with huge levels of income inequality, like petrostates, where most people are relatively poor, but gdp-ppp is high.

I'm still not convinced this is the right way to study the effects of meat consumption on health, but I guess it's a good part of it.

[โ€“] [email protected] 3 points 10 months ago

From the study "GDP PPP may be a comprehensive life expectancy contributor. For instance, populations with greater GDP PPP may have higher meat affordability, better medical service and better education level. Each factor may contribute to life expectancy in its unique way, but it is impossible to collect all these data and include them as the potential separate confounders in the data analyses to remove their competing effects on life expectancy."

So, I think you're making a good point.