Machine Learning and Ketosis • Hacker News Board

Re: Machine Learning and Ketosis

#151

Post by jwdunne » Sat, Aug 13, 2016, 7:37 AM UTC

WillPostForFood wrote: post #143

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…

Food does have properties (not arbitrary) that make them good or bad for weight loss. I agree, calories count. But if you eat food that makes you hungry, it is harder to cut calories. The reason low-carb high fat diets work is that you feel full on fewer calories.

This is it. Its easy enough to say that only calorific intake is a factor. It is but there are many indirect factors that influence the success of a regimen.

I'm not gonna eat my daily allowance in spoonfuls of sugar am I?

Re: Machine Learning and Ketosis

#152

Post by bmarkovic » Sat, Aug 13, 2016, 7:37 AM UTC

The author is wrong that sleeping more just gives less time for eating. Truth is that sleeping more reduces insulin resistance, increases testosterone production in males and puts leptin under control. All three reduce carb craving, push us towards meat and fat and increase natural fat burning.

Re: Machine Learning and Ketosis

#153

Post by dantheman » Sat, Aug 13, 2016, 7:43 AM UTC

ihsw wrote: post #146

cel1ne wrote: 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,…

Indeed. A muscular person at 185lb will burn more energy sitting still than their more rotund counterparts. Another thing to keep in mind -- muscle weighs more than fat. When participating in a workout regimen, some may be discouraged by their lack of weight loss and mistake it for stalling. This should be overcome. Frankly I think the greatest innovation in this would be a bathroom scale that shows both body-fat per…

Here's a good scale that does that: https://www.fitbit.com/aria

Re: Machine Learning and Ketosis

#154

Post by y4mi » Sat, Aug 13, 2016, 7:50 AM UTC

ghshephard wrote: post #114

frankus wrote: post #36

Totally anecdotal, but I want to second the recommendation of a longer fasting period. I switched to a strict-but-not-religious "no food between 7 pm and 11 am" system (with exceptions for weekends and social occasions). Within a few months I was down 15 pounds (~182 to around ~167) and had shed 4 inches off my waist (~34 to ~30). I'm about 5'10" and 41 years old. It's definitely helped with physical activity (mostly…

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…

in case some people are confused how they can get your RMR from a face mask:

they just have to measure how much oxygen you use and how much co2 is exhaled.

> When a triglyceride is oxidized (or "burned up"), the process consumes many molecules of oxygen while producing carbon dioxide (CO2) and water (H2O) as waste products [0]

[0] http://www.livescience.com/49157-how-fat-is-lost-body.html

Re: Machine Learning and Ketosis

#155

Post by ivanhoe » Sat, Aug 13, 2016, 8:11 AM UTC

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…

There are also dozens of studies showing exactly the opposite (I've googled up just two): http://www.nejm.org/doi/full/10.1056/NEJMoa022207, http://www.nejm.org/doi/full/10.1056/NEJMoa022637. It's pretty safe to assume that currently science is not overly conclusive about this subject.

From the point of biochemistry that claim doesn't make much sense either, as calories measured in the food (which is done by measuring the heat when you burn it) are not the same calories that you end up having as ATPs in your blood stream. No digestion is 100% efficient and it's much more complex process than just the simple oxidation. Different foods and food combinations and different gut bacterias in each human create hundreds of variables in how efficient the conversion process is. We have variable food quality, variable food combinations interacting chemically, variable gut bacteria and digestion chemistry, variable metabolism for each person. Our body is a chemistry lab and making stuff repeatable and simple in the lab is usually very hard. Digestion itself also uses energy itself and how much depends on the type of the food. It also matters how often do you eat, eating all your calories all at once and than starving for the rest of the week is definitely not the same as having a balanced calorie intake. Presuming that it's all simple "just sum it all up from standardized tables" is overly simplistic look on a highly complicated chemical process that has many bio-feedbacks involved and is far from being a constant. Which of course doesn't mean that it's not a good enough simplification for the purpose of keeping the dieting simple enough for people who are not interested in the biochemistry, but that is just the same kind of approximation that all other technics do: "Follow these rules and you'll probably lose some weight".

Re: Machine Learning and Ketosis

#156

Post by anaolykarpov » Sat, Aug 13, 2016, 8:15 AM UTC

onetwotree wrote: post #92

I'd really like to see this kind of analysis applied to a larger sample. If someone were to put together a little app to make this sort of data collection trivial and upload it to a central (preferably cheap) repository, would people be interested in contributing their data in exchange for analysis? Also, since this is HN, is anyone interested in building something like this? I've got an hour or two a week of spare t…

I'd like to also contribute with my data from fitbit: heart rate and resting hr evolution, sleep time, exercises, a few months of tracked food eaten and water drank, weight and body fat percentage, daily burned calories, etc. Where do I sign up?

Re: Machine Learning and Ketosis

#157

Post by zelcon » Sat, Aug 13, 2016, 8:16 AM UTC

Maybe your weight loss rate accelerated because you started watching what you eat more carefully, knowing that you want to provide the most sanitary input to your program. Anyway this is impressive for a n=1 study. Glad it worked for you.

Also, OP, what materials would you recommend for a machine learning newbie?

Re: Machine Learning and Ketosis

#158

Post by Joof » Sat, Aug 13, 2016, 8:18 AM UTC

mrfusion wrote: post #107

PerfectElement wrote: post #47

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?

Too many to count. I like allrecipes or some website like that.

Dal Bhat is one of my favorites after living in Colorado.

Re: Machine Learning and Ketosis

#159

Post by zelcon » Sat, Aug 13, 2016, 8:21 AM UTC

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.

Re: Machine Learning and Ketosis

#160

Post by Houshalter » Sat, Aug 13, 2016, 8:26 AM UTC

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…

One of the arguments OP used was that fatty foods satisfied his hunger faster. That still means the diet would be more effective, even if in theory all tha matters are calories.

Another big point was that fasting, particularly during sleep, was very effective. Is there any studies on if this is true or a real effect? Or perhaps it also just has a indirect effect by reducing calories consumed, but he argued it was more than that.