|
|
|
|
|
by dahart
1585 days ago
|
|
Except we have literal truckloads of data on calories and metabolism. Like a lot of human physiology, these things come with Normal (Gaussian) distributions in the human population. There are averages and deviations we can talk about, without having to understanding anything about the inner workings of the human body, right? I couldn’t agree more that CICO is a super blunt instrument, but it actually does work, because the alternative we’re comparing to is not tracking input & output at all. You can be a lot wrong, and it’s still better than completely wrong, right? :P Like the amount of noise in my calories estimates is probably at a minimum 10%-15% wrong at all times, same goes for expenditure (maybe even worse) but it seems like the important part isn’t actually the number, it’s the act of establishing and sticking to a budget. For me, mentally, it was the realization that my feelings on hunger and satiety were actually mis-calibrated. This helped me get over the idea of being hungry, and helped me realize the goal wasn’t to overcome hunger, it was to get used to something closer to the correct amount of food. |
|
We have, but most of it seriously flawed because of many issues.
For instance this pretty serious study on diets (http://www.dishlab.org/pubs/MannTomiyamaAmPsy2007.pdf) had to rely on BMI for segmenting the subjects because the whole field had standardized on BMI. Yet we know for decades that BMI based segmentation is meaningless, BMI itself being a clunky relic of the past. Then you can come down on the subject of the studies, repeatability, no possible control group most of the time etc.
We can say that's the best we can do, but we should also accept it's far from being reliable info most of the time.
> it actually does work
well, it doesn't work or not, it's just a concept, an observation like a law of physics. It's like saying gravity works, that's not the info you'd give people having difficulties to build a self balancing robot.