I can't speak to soap, but rendering tallow for food purposes, the impurities can smell a bit wiffy. If I'm trying to render all the cow smell away I have to do the render and filter cycle 3ish times
jet
joined 2 years ago
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I always thought it was a choice for tdw and heat concerns. Intel tends to run a bit cooler (used to)
Is this about memes?
How the hell did the medical community go so sideways since then?
From what i've read the doctors who were uncovering the hormonal model of health in the 1930s were German and publishing in German based literature. After the world unpaused in the 1940s there wasn't much enthusiasm in the west for German publications.
Dr. Barry Sears (Biochem PhD, not MD) wrote about all this in the early 90’s in “The Zone” (with references).
Would you recommend reading that book?
Calories are a useful approximation, but not how humans actually operate. A Bomb Calorimeter burns material and the resultant heat generated is what we call a calorie. As a illustrative example of the difference - gasoline is very calorie dense, but not helpful if eaten by a human.
do I gain the calories over the next few hours? Or is it delayed a day or two?
The human body will break down all food and drink into its base components then decide what it will keep, what it will excrete (more or less). So when you consume something you "gain" it immediately (its in your system), the time until its used in the body could be minutes (like carbohydrates), hours (fibre), etc. Often the body will decide to store any excess (carbs again) for later use (weight gain).
Because there will be days when I eat almost NOTHING, and then my scale says I gained 3 lbs. But then there’s other days where I feel I ate like a slob, and somehow lost 2 lbs.
The human body is an amazing homeostatic machine, it's trying to self regulate to optimal body composition. The trouble is lots of modern western food messes with the bodies ability to self regulate..... which brings us to the real topic
Losing weight is hard, but it might be easier if I understood the rules of how this all works.
The big secret is hormones, don't interfere with your hormones and the body will self regulate body composition to optimal (lose weight if your obese).
[Paper] The Carbohydrate-Insulin Model of Obesity - Beyond “Calories In, Calories Out” - 2018
TLDR - Eating sugar and carbohydrates forces blood glucose levels to rise (within minutes), elevated blood glucose forces insulin to rise (to reduce blood glucose), elevated insulin forces the body to go into anabolic (gain weight) state. Basically you can't lose any fat while your insulin is high, so every time someone eats a bunch of sugar or carbohydrates with a meal/snack they are putting a 2-4 hour pause on any fat loss.
The importance of this cannot be understated, humans are amazing hormonal machines. Hormones control every aspect of our biology. The hormonal insulin model has dramatic application to human health and specifically obesity / insulin resistance / metabolic health.
TLDR: Insulin is the cause of almost all obesity you see. Carbohydrates drive blood sugar, blood sugar drives insulin, insulin drives weight gain. As a good example - T1Ds who don’t take their insulin wont gain weight, no matter how much they eat..
Notes:
rates of obesity remain intractably high despite intensive focus on reducing calorie intake (eat less) and increasing calorie expenditure (move more), with major implications to well-being, life-expectancy, and health care costs.
this model considers fat cells as central to the etiology of obesity, not passive storage sites of calorie excess.
Insulin decreases the circulating concentration of all major metabolic fuels by stimulating glucose uptake into tissues, suppressing release of fatty acids from adipose tissue, inhibiting production of ketones in the liver, and promoting fat and glycogen deposition.
Insulin is a super hormone, when its elevated the body stops feeding itself and stores everything.
inadequate insulin treatment of type 1 diabetes and drugs that inhibit insulin secretion cause weight loss.
Dietary fat has little direct effect on insulin, providing a theoretical basis for the efficacy of high-fat diets.
the carbohydrate-insulin model of obesity (CIM) proposes that a high-carbohydrate diet—including large amounts of refined starchy foods and sugar, as commonly consumed in the lowfat diet era—produces postprandial hyperinsulinemia, promotes deposition of calories in fat cells instead of oxidation in lean tissues, and thereby predisposes to weight gain through increased hunger, slowing metabolic rate, or both
Carbs/Sugars drive weight gain and hunger, its a vicious cycle.
calorie restriction can be viewed as symptomatic treatment, destined to fail for most people in the modern food environment. Low-calorie, low-fat diets may actually exacerbate the underlying metabolic problem by further restricting energy available in the blood—triggering the starvation response comprised of rising hunger, falling metabolic rate, and elevated stress hormone levels
People eating a high carb diet are always hungry because all of their internal stored energy (fat) is unavailable to them. They are always starving even though they have plenty of fat.
Even when calorie-restricted to prevent excessive weight gain, insulin-treated animals still developed excessive body fat consistent with a prediction of the CIM regarding fuel partitioning
CICO / Eat Less Move More - Would say that the food doesnt matter, but in animals adding insulin without changing the diet causes weight gain! This disproves the simplistic CICO advice of weight loss.
calorie restriction to prevent excessive weight gain in animals on a high-GI diet did not prevent excessive adiposity or the associated cardiometabolic risk factors
If the insulin is elevated (carbs/sugar in the diet) even calorie restriction does not prevent obesity in animals.
The only thing unhealthy in your neighbors diet is the sugar substitute in the coke zero. If he reduced his obesity down to a normal weight, his life has massively improved.
should eat their veggies
This is the party line, but its actually up for debate because the actual scientific literature doesn't have evidence that this is necessary.
I’m still thinking that can’t be healthy, but he does look healthier in comparison to morbidly obese.
Carnivores (which it sounds like your neighbor is) tend to be very data focused, ask if he would share his health metrics with you (lipid panel, hba1c, etc)... When you look at those metrics you will have to decide what "healthy" means (what outcomes you care about)
If you know of a link to the full paper, I'd love to read it
Blue prince is a wonder experience! I'm glad your enjoying it.
This was one of the papers referenced in @xep@fedia.io 's cholesterol paper from a few days ago. Thought it was interesting for its own post.
Notes:
evidence from the Kuopio Ischemic Heart Disease Risk-Factor Study suggested that egg protein intake was associated with significantly reduced risk for T2D in Finnish men [6].
Subjects who were pregnant, planning to be pregnant during the study period, lactating, or of child-bearing potential and unwilling to commit to the use of a medically approved form of contraception throughout the study period were also excluded.
That really complicates analysis, if someone is using hormonal birth control that will change the hormones, but also if they start it for the study then it's skewing the results.
However, HOMA-IR was significantly increased following the Non- Egg (24.4%) compared with the Egg condition (1.4%). Although this finding suggests that replacing higher-CHO (primarily sugar) foods with egg-based foods at breakfast may have a favorable effect on whole-body insulin sen-sitivity, caution is warranted. The HOMA-IR value is calculated using a linear model based on population-derived estimates, whereas HOMA2-%S is calculated using a nonlinear model, which is theoretically more robust [19, 20, 27]. No significant differences were present between the Egg and Non-Egg conditions for HOMA2-% S based on fasting values, or the ISI from the short IVGTT
Short intervention study, where the Egg population was still consuming carbohydrates saw a very modest improvement in insulin sensitivity. I speculate this is because of the reduction of carbohydrates for a single meal.
Another potentially relevant factor regarding effects of different meals on CHO metabolism is time of day. Dif-ferences in sympathetic nervous system activity and/or diurnal patterns related to the release of incretin hormones (e.g., glucagon-like peptide-1 and gastric inhibitory poly-peptide in response to a meal) may affect insulin sensitivity [31], and markedly higher (~40%) insulin sensitivity has been observed in the morning compared with mid-afternoon or evening [32]. Jakubowicz et al. conducted a randomized crossover trial where subjects with T2D were fed either a meal pattern that included a high-energy breakfast plus a low-energy dinner (breakfast: 2946 kJ, lunch: 2523 kJ, and dinner: 858 kJ) or a meal pattern with a low-energy break-fast plus a high-energy dinner (breakfast: 858 kJ, lunch: 2523 kJ, and dinner: 2946 kJ) [32]. Despite isoenergetic intakes, those consuming the higher energy breakfast meal pattern had reduced postprandial hyperglycemia and higher levels of intact and total glucagon-like peptide-1. In the present trial, study products were consumed at the breakfast meal, when insulin sensitivity would be expected to be at its highest. It is uncertain whether similar results would be obtained with consumption of the study products in the afternoon or evening.
This is a curious result, and speaks to the point Xep made about eating and time of day, I'm still very curious if this holds in a fully ketogenic diet.
I think the variability of thus study compared to other egg studies indicates that the eggs are not the main variable of interest, its the carbohydrates that are accounting for the fluctuating signal across these studies.
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[Paper] Grilling the data: application of specification curve analysis to red meat and all-cause mortality
(infosec.pub)
https://pubmed.ncbi.nlm.nih.gov/38354868/
TLDR - Meat has been unfairly blamed by bad (possibly biased) statistical analysis.
some investigators may test many alternative analytic specifications and selectively report results for the analysis that yields the most interesting findings.
when investigators analyze data from observational studies, there are often hundreds of equally justifiable ways of analyzing the data, each of which may produce results that vary in direction, magnitude, and statistical significance
Evidence shows that investigators’ prior beliefs and expectations influence their results [5]. In the presence of strong opinions, investigators’ beliefs and expectations may shape the literature to the detriment of empirical evidence
Basically given a all the possible variable permutations they took a very large sampling of inputs to outcomes and looked at the resultant hazard ratio, demonstrating that you can cherry pick to get the results you want (good or bad). This is the core weakness of observational studies.
Curve analysis demonstrates itself as a valuable too in iterating through many of the combinations of observational data to show stronger trends.
The left/blue side of the graph are outcomes that show meat decreased all cause mortality, the right/red side of the graph are outcomes that show meat increases all cause mortality. If you were a hungry researcher, you could publish unending papers indicating either way from this same observational data pool! - Hence the constant news cycle driven by dietary agendas - not based on hard science RCTs.
https://rentry.co/NSFW-Checkpoint
Not deleted, just they put up a speed bump