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Machine Learning and Ketosis

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271–280 of 309 posts

Re: Machine Learning and Ketosis

#271

The observation that "no breakfast" is #1 way to lose weight by extending fasting period that includes sleep is pretty astonishing. Everything I have read says no breakfast is one of the contributors to weight gain.

Maybe I missed it, did he say what time of the day he does the weight measurements? Unless you do multiple measurements per day and take the average (as my fancy device does automatically), a single weight measurement should be done in the afteroon, ie after rehydrating and stopped the fasting of the night and early morning.

Re: Machine Learning and Ketosis

#272

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…

> It's pretty easy to lose 40-50 pounds and end up being much less healthier than you were before Maybe if you amputate your legs or catch AIDS or syphilis in the process. Otherwise, I can't see how losing 50 pounds will leave you less healthier than before.

Meth. I suspect being 50 pounds overweight is preferable to smoking meth daily for a few months to the exclusion of all else, even if that would lead to pretty rapid weight loss.

Re: Machine Learning and Ketosis

#273
post #257
post #177

Earlier quoted context omitted.

Does it really need stored energy? Parenteral nutrition in hospital works fine with plain glucose. One would assume you could just eat fruit (or drink soda, I guess) when sick, to get the energy you need right then.

One problem for athletes is that they take an energy drink or bar and then feel dopey. This is because as soon as a surge of glucose hits your blood your pancreas pumps out insulin and sweeps it all up leading to a crash. Instead drink milk or eat complex un processed carbs like oat cakes (but not ones that have a ton of honey).

People who consider themselves "athletes" should know that.

Re: Machine Learning and Ketosis

#274
post #142

Earlier quoted context omitted.

There is an often-forgot other situation where your body needs some stored energy: sickness and accidents.

I experienced this. I never needed to lose weight, always been lean. But I wanted to see if I could reduce my blood sugar since it was borderline high. So I went very low carb for a while. Did not intend to but lost 5 kilos right away and felt fine, although it seemed like I was a bit underweight. A few weeks later got a miserable case of flu and couldn't eat for a few days. Lost even more weight, felt terrible, look…

My research indicates those 5 kilos were probably mostly water because when you go low carb your body uses up all of its glycogen, which is stored with 3-parts water, and that takes a lot of salt with it. So you have to drink more often and consume more salt. Then it can take 2-4 weeks for your body to ramp up the right chemicals to switch to fat burning.

Re: Machine Learning and Ketosis

#275
post #139

Earlier quoted context omitted.

Might be lacking glucose; I believe that is why marathon runners eat glucose before they run.

What do you mean by glucose exactly? What kind of foods should I be eating? I usually just get whatever for lunch at my company - tacos, Indian food, whatever is being served.

From experience, you'll need to spend a lot of time learning about macros before advice on what food to eat will do you much good. For example, if someone says "eat two cups of green salad with 2 tablespoons of olive oil" you'd have to A) already know what all that means or B) spend a couple hours researching how to estimate volume and source predictable ingredients and prepare them or C) just wing it and end up with some bullshit from a store that's lettuce covered in croutons, cheese, and sugary dressing.

A good heuristic is that if you bought it, or it was bought for you, it's got too much refined carbohydrate in it and the serving size is too large. This is because to consumers value=(volume*taste)/dollar

Re: Machine Learning and Ketosis

#276

Earlier quoted context omitted.

I wonder if anybody on Ketosis has ever done an endurance event and not ended up feeling absolutely miserable/exhausted. I was on a fairly low carb regime ( The research that I've read says that the ideal training regime is to work-out in a carb-exhausted state, so as to encourage your body to develop the low-carb metabolic pathway, but for actual endurance events, definitely carb load as your primary fuel.

Yes, Peter Attia is good source of knowledge on ketosis + endurance. Check out his amazing blog at eatingacademy.com

I can recommend this book http://www.artandscienceoflowcarb.com/the-art-and-science-of...

Re: Machine Learning and Ketosis

#277

Earlier quoted context omitted.

glucose is the only fuel Can you expand? Like, you thought that cells only metabolize glucose, and dietary fats & proteins are converted to glucose? Or...?

> you thought that cells only metabolize glucose, and dietary fats & proteins are converted to glucose Pretty much. I don't know where that may have come from, but I suspect I'm not the only one who naively thinks that this is the case. Somehow "ketone bodies" aren't mentioned in dietary conversations nearly as frequently as glucose.

LOL yeah, I just spoke to a dietician the other day who swore that glucose is the only thing your brain can use for fuel.

It's easy to be ignorant about a situation you never experience. Every single person they deal with is going to be in a carb-adapted state and never miss a meal, so their body will run entirely off of glucose.

Re: Machine Learning and Ketosis

#278

Earlier quoted context omitted.

Another anecdote. I tried keto on and off for 2 years while trying to achieve my former triathlete performance. I felt good at the beginning; lost some weight and felt more energy, but it quickly declined and I was never able to perform well. Last year I was introduced to books like Finding Ultra, Whole and Proteinaholic, and went on a high carb diet. Today my diet is based on beans, lentils, potatoes and fruits and…

Any good ways to prepare lentils?

In addition to Joof's comment, remember there are several types of lentil. Red lentils, puy lentils, all delicious in an appropriate recipe.

Re: Machine Learning and Ketosis

#279

Earlier quoted context omitted.

> It's pretty easy to lose 40-50 pounds and end up being much less healthier than you were before Maybe if you amputate your legs or catch AIDS or syphilis in the process. Otherwise, I can't see how losing 50 pounds will leave you less healthier than before.

What I was trying to say, perhaps poorly, that is if you were heavy because you were working out a lot, and eating a lot, and then decided to lose weight by reducing the eating/working out, you can end up being skinny/fat/weak. At the very least, doing regular body-weight resistance training (pushups, situps, pullups, air-squats), helps to reduce the amount of muscle you are losing while you are losing weight.

>doing regular body-weight resistance training (pushups, situps, pullups, air-squats), helps to reduce the amount of muscle you are losing while you are losing weight

Can you explain why archaeologists, astronomers and professors have the highest life expectancy and athletes and body builders have that among the lowest?

Re: Machine Learning and Ketosis

#280

Earlier quoted context omitted.

What I was trying to say, perhaps poorly, that is if you were heavy because you were working out a lot, and eating a lot, and then decided to lose weight by reducing the eating/working out, you can end up being skinny/fat/weak. At the very least, doing regular body-weight resistance training (pushups, situps, pullups, air-squats), helps to reduce the amount of muscle you are losing while you are losing weight.

>doing regular body-weight resistance training (pushups, situps, pullups, air-squats), helps to reduce the amount of muscle you are losing while you are losing weight Can you explain why archaeologists, astronomers and professors have the highest life expectancy and athletes and body builders have that among the lowest?

Sure, because excess muscle causes excess work from your body in order to keep it. However, bear in mind that for some that is a profession and not a matter of choice.
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