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Joined 2 years ago
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Cake day: June 1st, 2023

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  • The article talks about more than just working conditions. For instance

    While the larger poultry industry in neighboring Arkansas has given rise to worker centers and advocacy groups that push back against unsafe conditions, Oklahoma’s still sizable immigrant workforce has less support

    […]

    Immigrant workers are often less inclined than native-born workers to report unsafe working conditions or injuries because they fear losing their jobs or being deported, said Jose Oliva, the campaigns director for the HEAL Food Alliance, a coalition of organizations that represent food industry workers.

    […]

    “This industry is really skilled at constantly seeking out who is the most vulnerable or exploitable population, and how do we bring them in,” Stuesse said.




  • Plus why does cost of transport have inconsistent spacing between lines and inconsistent scale movement? The scale is neither linear nor log. It sometimes doubles, and then sometimes just adds 0.2, 2, or 20. And also still a scale that’s flipped from (at least my) expectation would be with more efficient towards the top and less efficient towards the bottom. Sometimes there’s a minor grid line, sometimes there isn’t. And sometimes the minor grid line isn’t even at the half mark

    At least the body weight keeps to a consistent log scale

    Is there a data is ugly community?























  • What is linked is full of misinformation and disinformation. For instance, Canola oil does not naturally contain any trans fat and only has very small traces after refining. Dairy, for what it’s worth, also contains similar amounts trans fat

    The article just also completely glances over environmental factors. Even if we took all this site’s claims as true (which we shouldn’t, they are citing someone who works for an animal ag lobby group), a claimed 1/3 emissions instead of a 75% reduction would makes it a “lie” because it doesn’t fix everything?

    This site is also full of LLM generated articles with AI generated images, and this article has some signs of LLM writing: random bold, heavy em dash use, links to articles that have zero relation, etc.










  • I suggest read the original study instead of a paper’s interpretation of it. They suggest action, and that’s changing the suggested inhalers people use in most cases. It’s not “blame people for thing”, it’s “here’s a problem and how we can dramatically reduce it with some minor systemic changes”

    All but 2 therapeutic classes (short-acting muscarinic antagonists and ICS-SABAs) had dry powder and/or soft mist inhalers available. If patients during the study period had received the inhalers with the lowest emissions intensity available at the time in each therapeutic class, total emissions would have decreased by 92%, from 24.9 million mtCO2e to 2.1 million mtCO2e (eTable 6 in Supplement 1).

    […]

    This study identifies a high ceiling for potential climate-related gains from switching patients to therapeutically equivalent alternatives. Any such efforts to shift prescribing will likely depend on broadscale formulary changes—and the policies required to incentivize such changes—rather than just individual actions by patients and physicians, who may be limited by payer formularies when choosing particular inhalers

    https://jamanetwork.com/journals/jama/fullarticle/2839471




  • So I say “consider how some people actually do have a single source of protein per day, they’re not combining it with other food sources, but they should be aware of this” and your reply is “oh but you see they’re combining it with other food sources so that’s not important” flawless logic.

    My point is that it effectively happens anyway without even having to think about it in 99% of cases. It’s not really a large issue in the slightest. It just makes things sound scarier and more complex than it needs to be. People have finite ability to focus on various health things, and this just isn’t something 99% of people need to be worried about

    If someone is eating the exact identical source exclusively, every single day with no variation in anything, they are likely going to end up deficient in other things way before this, regardless of which thing they are eating (unless it’s something like Huel or Soylent which is designed to include everything). This is not at the level of “someone has beans a lot”. This is at the level of “virtually all of your calories come from beans” to be some larger issue

    Many people use it as a lever to attack plant-based diets in situation that it just doesn’t apply at all by making it sound like it’s something you’re needing some spreadsheet for. It’s really not the case. Plus things like soy, chia, hemp, and more are also already complete too


    I never said that. You mentioned it, I said I agreed, and you mentioned it again to reinforce a point I never made. Trying to pad out the comment or something?

    I was not saying that you said this. I should have worded that better. I was trying to add some more context for relevant statements from authors talking about both complete proteins and protein combining. I did a poor job of that though


    because your body will absolutely not fully digest the 2g of protein in your 100g plate of white rice.

    You don’t need to digest all of it, it’s just about a specific amino acid (Methionine in this case which beans already have some of). It’s just a little bit to make it complete. For instance, one of the studies you linked with rice + lentils found the two together rose the DIASS to overall be 100% (122% for infants and kids, 143% for older adults)


    I should also note protein quality metrics are also often based on some faulty assumptions for plants in particular. For instance, the DIASS has some flaws that make it undervalue the quality of plant proteins

    While multiple strengths characterize the DIAAS, substantial limitations remain, many of which are accentuated in the context of a plant-based dietary pattern. Some of these limitations include a failure to translate differences in nitrogen-to-protein conversion factors between plant- and animal-based foods, limited representation of commonly consumed plant-based foods within the scoring framework, inadequate recognition of the increased digestibility of commonly consumed heat-treated and processed plant-based foods, its formulation centered on fast-growing animal models rather than humans, and a focus on individual isolated foods vs the food matrix. The DIAAS is also increasingly being used out of context where its application could produce erroneous results such as exercise settings. When investigating protein quality, particularly in a plant-based dietary context, the DIAAS should ideally be avoided.

    https://link.springer.com/content/pdf/10.1007/s13668-020-00348-8.pdf