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Machine Learning and Ketosis

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181–190 of 309 posts

Re: Machine Learning and Ketosis

#181

Earlier quoted context omitted.

I mean, if you put cream in your coffee... that's basically liquid butter with some whey in it.

No, the actual experience is a significant departure from using cream, or milk products, or imitations of milk. It floats on the top, in beads, like a soup broth.

Just needs an emulsifier. Butter and egg coffee, now that'd be something.

Re: Machine Learning and Ketosis

#182
post #169

Earlier quoted context omitted.

If you can afford it (usually around $150 here in Singapore), it might be worthwhile going into a sports clinic to get a RMR reading. It's possible that your body has significantly dropped your metabolism after the weight loss, and is fighting to restore its previous weight - making further fat loss (particularly while retaining most of your lean body mass) really difficult. Ironically, in that scenario, it might be…

I'm sorry, this sounds like you're talking about "starvation mode". Do you have a decent source for this because everything I've seen around it is pseudoscience. You're suggesting that they, while feeling fine, have an enormous problem with one of the most fundamental processes which keeps us alive. Your BMR drops as you lose weight, it might simply be that this hasn't been taken into account. Or they're not tracking…

Fair point. There is research which shows your BMR may drop after sustained reduction in caloric intake, far below what your body weight would indicate. Probably one of the more well known recent ones was: http://onlinelibrary.wiley.com/doi/10.1002/oby.21538/abstrac... - which shows the effect can go on for several years.

Here's a really good article discussing caloric-reduction, impact on Leptin (key hormone involved in regulating the body metabolism): http://www.bodyrecomposition.com/muscle-gain/calorie-partiti...

Though, careful reading suggests that the author believes that a day of refeeding (ala 4-hour body), is unlikely sufficient to trigger Leptin such that the body's BMR kicks back into high gear.

Re: Machine Learning and Ketosis

#183

It's a great experiment However I think the biggest issue with this is that it's considering only a 1 day window. Weight can vary a lot between every day (bladder and bowel contents, muscular glycogen, etc)

Indeed. I was pondering the fact that a lot of things in the experiment that are composed of mostly insoluble fiber, consistently landed on the weight gain side of the spectrum.

I assume this was a windowing flaw, in that the fiber mass was still in the digestive tract a day later, though not-at-all contributing to weight gain after later elimination.

This would also throw off all the data about oils and fats: anything that lubricates your digestive tract will make it seem like you're losing weight that day even if you're not, because other foods eaten at the same time will now get eliminated faster. (Though that really can be of help; food that spends less time in your digestive tract gets less of its nutrients absorbed.)

Re: Machine Learning and Ketosis

#184
post #179
post #145

I lost 15 kg (33 lb) over a period of 7 months. * Stopped drinking juice, coke etc. completely * Ate sweets strictly only once a week (like one cake every sunday) * Ate carbs mainly at lunch when doing sport afterwards. In the evening I ate carbs too, but much less. There's one thing that all these fasting-guides and tips fail to mention: The fastest way to loose weight is to heighten your resting-energy-consumption,…

I read recently that basically we do not know why gaining muscle mass alone leads to weight loss. Energy expenditure theory alone cannot explain it. So latest modern speculation is that muscles affects insulin sensitivity etc. But it could be something else. That does not change the conclusion - gaining muscle is sure thing for weight loss. It is just we do not know why.

Do you have a source for this?

I think that training puts your body in a constant circle of growing and adapting tissue, which should be relatively exhausting.

Re: Machine Learning and Ketosis

#185
post #178
post #145

I lost 15 kg (33 lb) over a period of 7 months. * Stopped drinking juice, coke etc. completely * Ate sweets strictly only once a week (like one cake every sunday) * Ate carbs mainly at lunch when doing sport afterwards. In the evening I ate carbs too, but much less. There's one thing that all these fasting-guides and tips fail to mention: The fastest way to loose weight is to heighten your resting-energy-consumption,…

Your Non-Exercise Activity Thermogenesis (NEAT) apparently determines a lot more of your daily calorie expenditure than your resting-energy consumption does. As in, how much you fidget, pace, shiver, etc. New stupid weight-loss product: antipsychotics, to induce muscle dystonia! (Which, sadly, wouldn't even work; antipsychotics, despite causing massive amounts of NEAT, cause weight gain —by the opposite mechanism by…

Source?

Re: Machine Learning and Ketosis

#186

Earlier quoted context omitted.

They are replacing even more ungodly amounts of calories in the form of carbohydrates with that bacon/cream. Honestly, you can only eat so much bacon before you get sick of it, and your body just screams "Yuck. Stop eating. I'm full". That's not true of things like rice, noodles, bread, etc.. where for many people eat some, and your body is like, "Awesome. Bring it on" in a never ending cycle. Put another way - Satia…

I don't doubt for many that reduction in carbs amounts to reduction in calories. For others though, eating a lot, and not worrying about consequences, is a coping mechanism for how shitty the diet is. I'm super biased from my own past experience, but I was having 3000+ calorie days with minimal exercise and losing weight on keto. Open to the idea that I'm somehow wrong though :-)

They've tried all sorts of diets in metabolic chambers - and it's really quite amazing how closely the observed results track the predicted results. Determine a person's BMR, and then feed them a variety of diets higher, or lower, than that BMR, and watch their body mass (exc. water) increase, or decrease as expected.

Possibly the case that when you were eating carbs, you were putting away 3500 calories a day, and that dropped to 3000 calories a day when it was just meat? I know that just a casual stroll through the mall on a refeed day for me, I have zero difficulty putting away 6000+ calories - refined carbs are shockingly calorically dense.

Also - for some time on a Keto Diet, you are going to be dropping a ton of water - so the scale will be dropping like a rock, regardless of what your actual body weight is doing. Getting a DexaScan, or whatever lean/fat body mass assessment you prefer to see what's really going on.

Re: Machine Learning and Ketosis

#187
post #184
post #179

Earlier quoted context omitted.

I read recently that basically we do not know why gaining muscle mass alone leads to weight loss. Energy expenditure theory alone cannot explain it. So latest modern speculation is that muscles affects insulin sensitivity etc. But it could be something else. That does not change the conclusion - gaining muscle is sure thing for weight loss. It is just we do not know why.

Do you have a source for this? I think that training puts your body in a constant circle of growing and adapting tissue, which should be relatively exhausting.

I read it in "Antifrigile" book by Nassim Taleb. Location 6221 in Kindle app.

Re: Machine Learning and Ketosis

#188
post #185
post #178

Earlier quoted context omitted.

Your Non-Exercise Activity Thermogenesis (NEAT) apparently determines a lot more of your daily calorie expenditure than your resting-energy consumption does. As in, how much you fidget, pace, shiver, etc. New stupid weight-loss product: antipsychotics, to induce muscle dystonia! (Which, sadly, wouldn't even work; antipsychotics, despite causing massive amounts of NEAT, cause weight gain —by the opposite mechanism by…

Source?

There was a study comparing the two that hit the HN front page some time within the last six months (which is where I first read about it), but I can't seem to dig it back up now.

Re: Machine Learning and Ketosis

#190

What's interesting about this post isn't the actual diet advice, but the guidance to track and see what works for you. Different people react to fasting differently - some continue to burn calories and drop weight, some just go into starvation mode, have their BMR crash through the floor, and end up exhausted all the time because their body is fighting like crazy to conserve energy. Likewise - some people, when they…

All that, and fat/muscle ratio over watching weight. I can weigh 200 lbs at 14% body fat and be in great shape, or 175 lbs at 21% body fat, and be lethargic and weak.

I am now around 180 lbs at 14% body fat, and the combination of low body fat, and weight for my 6 ft frame, makes it easier to climb, run, do handstand pushups, whatever, and generally move around more effortlessly with less impact and pain.

His focus on moving to America may be a statistical correlation, but I have lived in SE Asia for over 7 years, the last year in the rice fields of East Java, and I can tell you that there are plenty of poor diets and obesity over here. Also, I noticed that even among the average thin-looking person over here, muscle tone is poor. Skinny people with flappy arms and other body masses. Of course this does not apply to the fitness practioner or to the rice farmers who work all day and are active. They do like a lot of fried foods, and think I am a goat for eating raw veggies or even cooked veggies ;)

The rice served here is almost always white rice, which is the same rice as the healthier brown rice, but Asians just prefer white rice. It's all about how much you 'polish' or remove the outer layers of the rice grain that gives you a brown, fibrous shell of brown rice, or a soft white cooked rice. Again, here is where weight is not a good indicator, but muscle tone, and muscle mass/fat mass ratio. Skinny shouldn't be your goal, but fit should, since muscle weighs more than fat, you can weigh the same and look thinner and more defined.

I also went vegetarian almost 3 years ago, and I have never been in better shape than I am now. I get my healthy fats from walnuts, flax seeds and flax oil mainly. A plant-based diet, and regular exercise. That and I have not drank alcohol for about 7 years (good money saver too!). Although, it has been proven, diet is the biggest contributing factor, even over intense exercise. Exercise polishes off the remaining percentage aside from any enjoyment factor you might gain from it.

Life is also about your goals. Some people want to bodybuild for size, rock climb, run, do yoga, fight MMA, swim, golf, what have you, and each has a trade-off. It is about achieving your goals and happiness, so different strokes for different folks; there is no one right way.

At my age, I am shooting for maintaining flexibility, dexterity, moderate strength, and aesthetics comes in last (52 now, so not in the courting game ;) ). Functional fitness, and body movement per the work of Ido Portal [1]. Trying new activities to ward off becoming too efficient at the ones I have practiced for many years keeps me honest and burning more calories. I swim too efficiently to burn calories. A new swimmer thrashing about is an inefficient swimmer, but will burn more calories in 5 minutes than me in 20!

The biggest revelation to me was that most people tend to be tight up front, and loose in back. In other words, we focus on the front muscles due to common daily activities in the office-bound Western world: carrying kids, groceries, leaning forward at a desk, to the detriment of our posterior. I gained this from a marvelous book by Judy Alter 'Stretch and Strengthen'. The single most valuable piece of advice I have every taken up. Our backs are weak in general. It's amazing what a few weeks of squats without weights, superman poses on the floor to strengthen the lower back, and some pull-ups or hanging exercises can do for back flexibility and warding off pain. Stretching the front chest, arms, and thighs while strengthening the back muscles and back leg muscles is a good counter strategy.

I did yoga too, which is good, but I agree with some physiologists that the hyperextension of knees or other joints stretches the ligaments, which when you're older and your muscles are not as toned or strong, your joints are floppy due to stretched out ligaments. Think old leather belt stretched over the years, never regaining it's original length.

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