05-05-2020, 07:27 PM
(05-05-2020, 06:17 PM)Navaratna Wrote: I don't see any reasoning for promoting a mostly meat diet. Greens like spirulina don't have any comparison. There is no super nutritious meat and from what I remember if it isn't lamb none of the animal fat is healthy. Pork is something I'll never eat.
The most nutrient-dense animal-based food is the type which people no longer eat as much. Bone broth, a soup cooked from marrow bones, was once a staple for the poor. Organ meats, like heart and kidney, contain the nutrients needed for the organs to function in the animal, and have way more micronutrients than muscle meat. Such types of food are needed in order for an all-animal diet to provide what the body needs.
As for reasons for extreme low-carbohydrate and high-fat diets, the most well-known may be as the old way to treat epilepsy. Prior to modern medication, strict adherence to such a diet was the way to prevent seizures. This still works, but the use of medication is now standard instead.
The more popular reasons are the arguments of the LCHF (low-carb, high-fat) crowd. Wolfgang Lutz (German doctor and LCHF popularizer) describes cases of people with hormone imbalances, who are either distinctly overweight or underweight while eating a healthy amount of food; he found that reducing carbs greatly and eating more fat instead corrects the imbalance and weight issue for them.
There's further arguments for LCHF, which you can find by searching for it, if interested. And, of course, there's also various counterarguments.
As for the big question of saturated fat (whether animal or plant, coconut oil being a vegan option), modern alternative paradigms cast doubt on the entire "fat scare". The fat scare began with Ancel Keys, who cherry-picked data from 7 countries out of over 20 to provide a statistical curve showing how dangerous fat is. Selecting a different set of 7 from the original data yields the opposite curve. LCHF authors usually summarize modern studies pointing to saturated fat not being bad; mainstream researchers like to point to the opposite type of statistics.