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Machine Learning and Ketosis

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Re: Machine Learning and Ketosis

#291

Post by great_kraken »

Noseshine wrote: post #82
hoodwink wrote: post #40

As a long-term ketogenic eater (10 years), here are my top simple tips. Unfortunately they were not gleaned using machine learning. 1. Watch your protein. Most people when first going keto will eat too much protein and not enough fat. Protein has an insulinogenic effect when eaten in quantity. Keep protein below 8 oz per meal. Don't be afraid to eat more fat. 2. Avoid cheese. Yes, it's technically low carb, but it re…

Have to disagree and vote for nuts and cheese. I've never been really overweight, but still, even the slight problem I had is gone with the change of some eating habits. Mostly, a lot less carbs - I really don't need a bakery and I have to tell the Thai or Chinese waiter that I need only 10% of that huge load of rice (they always pack more rice than the rest - which already is a large amount). Next to zero extra suga…

> "is too extreme"

That sounds reasonable and all, but it isn't actually a scientific justification. If the nutritional theories behind a low carb diet are sound, then it would make no sense to introduce high-carb sources to mix in just to "be less extreme." Science shouldn't care about our superficial perceptions.

Re: Machine Learning and Ketosis

#292

Post by ricardobeat »

lucidguppy wrote: post #253
ricardobeat wrote: post #204

Earlier quoted context omitted.

Can you describe your diet and the amount of carbs in it?

I eat most of my calories from rice, potatoes, sweet potatoes, corn, and other starches. I round out the diet with green and orange vegetables. Fruits are snacks. For breakfast I have oatmeal with a banana and raisins with cinnamon. For lunch I'll have brown rice with vegetable stew on top. Dinner can be vegan whole wheat pizza, bean burritos, spaghetti with marinara sauce, moo shoo vegetable wraps, rice and vegetabl…

That doesn't really warrant saying "carbs don't make you fat". Eating white bread, sugary drinks, baked goods and pasta is a big step away from that.

Re: Machine Learning and Ketosis

#293

Post by naasking »

ryeguy wrote: post #138

This is delightfully nerdy and overly analytical, but I can't believe someone would go to the extent of creating this yet never think to look for counterarguments against their dieting regimen. Doing this would have given him the answer much sooner. Trying to figure out how the consumption of certain foods correlates with weight gain/loss is a waste of time because it's simply the caloric content, not the macronutrit…

> The author is acting like each food has arbitrary properties that make them food or bad for weight loss.

But they might for him. The point is that he's analyzing what he feels like eating without worrying about caloric content in order to achieve a steady state where he's losing weight.

If he can eat eggs until he's sated and lose weight, or he can eat cereal until he's sated and gain weight, the caloric difference is irrelevant to the question of what foods he should be eating to not have to think about counting calories while feeling sated. This is a personal question about what foods count as good or bad, not a general conclusion, and the author says as much.

This kind of personalized analysis via machine learning is probably going to be a big thing in the coming years.

Re: Machine Learning and Ketosis

#294

Post by naasking »

Waterluvian wrote: post #71
hoodwink wrote: post #67

Earlier quoted context omitted.

Breakfast: eggs + bacon or sausage or leftover steak Lunch: salad and leftover protein (with oil, vinegar, and mustard dressing) Dinner: meat, fish, or poultry (simply prepared) with roasted vegetables and salad Snacks: coffee with butter and coconut oil, raw veggies, leftover meat

I want this so badly but I feel I'm set up to fail due to how much I hate vegetables. I just can't enjoy salads. I wonder if the "this tastes awful" response will change as I move away from carbs?

Not all salads are equivalent. A mashed avocado kale salad is simply wicked:

http://www.food.com/recipe/kale-salad-with-avocado-for-two-4...

The avocado makes it really creamy and rich.

Re: Machine Learning and Ketosis

#295

Post by ark15 »

khattam wrote: post #279
ghshephard wrote: post #229

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?

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

That's a pretty serious statement hidden as a question. Can you point to your source(s) claiming this to be true? I am sure a huge % of HN population would be interested in this.

For those interested, I found parent's claim very intriguing so I spent a few minutes Googling and the best I came close to answering yes/no was this -

The life-prolonging benefits of a scrupulous life have come to light from a comparison of 20 previous studies which together rated 8900 people for conscientiousness using a standard psychological survey, and also recorded the age they died.

Howard Friedman and Margaret Kern at the University of California at Riverside found that people who were less conscientious were 50 per cent more likely to die at any given age, on average, than those of the same age who scored highly (Health Psychology, DOI: 10.1037/0278-6133.27.5.505). This exceeds the effects of socioeconomic status and intelligence, which are also known to increase longevity.

https://www.newscientist.com/article/mg20026794-800-conscien...

Do elite athletes live longer? TLDR; - In most cases, not really http://www.athletesheart.org/2013/11/do-elite-athletes-live-...

https://www.quora.com/Which-professions-have-the-longest-lif...

Re: Machine Learning and Ketosis

#296

Post by geomark »

mpbm wrote: post #274
geomark wrote: post #199

Earlier quoted context omitted.

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.

That's interesting. I did drink more water but I did not give any consideration to salt. What's the best way to get that salt balance right?

Re: Machine Learning and Ketosis

#297

Post by fb42 »

I think this shows how various factors correlates with the amount of water/food still in the digestive system.

I'm not surprised that for example sleeping longer would make you having less water in your body.

Most foods that gave "weight loss" were high energy foods that have lower mass per calorie.

Re: Machine Learning and Ketosis

#298

Post by Chris2048 »

atom-morgan wrote: post #286
jacobwcarlson wrote: post #115

Earlier quoted context omitted.

> To my utter surprise, something as stupidly simple as coffee blended with butter with coconut oil (or MCT) first thing in the morning did unbelievable things for mental productivity. Eat food. Mostly plants. Not too much. If that doesn't work for you, talk to a doctor.

Why not both?

Doctors are way more expensive than food.

Re: Machine Learning and Ketosis

#299

Post by johnward »

zelcon wrote: post #159
gtrubetskoy wrote: post #57

I don't have a weight problem, I learned about ketosis researching natural ways for improving focus and concentration, and somehow came across "bulletproof coffee". (I'm only using BP for lack of a better name and I don't endorse the stuff they sell online). To my utter surprise, something as stupidly simple as coffee blended with butter with coconut oil (or MCT) first thing in the morning did unbelievable things for…

"Bulletproof Coffee"(TM) is snake oil stuff. It's based on the assumption that all other coffee on the market has mycotoxins, yet literally none of the brands in first world countries have them anyway. This was confirmed by tests.

From what I've seen "bulletproof coffee" has become a generic term for Coffee + Coconut Oil + Butter in most of the keto communities.

Re: Machine Learning and Ketosis

#300

Post by johnward »

derefr wrote: post #180
wishinghand wrote: post #95

Earlier quoted context omitted.

Plus you have to up your electrolytes of sodium, magnesium, and potassium. If you don't you tend to have a foggy head.

So, pedialyte? Or does that still contain too much glucose?

I'm finding mixed info online but always assumed it had too much sugar. I think it has 25g but some sites are saying 6g. 25g would be more than you are allowed in a day on most keto programs.

I typically take ZMA and potassium then drink something like Propel while at the gym. Then I have chicken broth when I get home to get some salt back.

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