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A model being difficult or tedious to quantify doesn't make it false. And, all models are wrong, but some are useful. > But that is issue with CICO, it's like magic box and we only have to count IN, as much at what makes the calculation correct later on, also with OUT. That is not very scientific. The whole physics is a magic box. We find qualities of materials after we measure them, because that's how the model is constructed. Let's say that I have a model called mass in volume out (MIVO). It states that mass of a liquid predicts its volume. We measure how much volume a certain amount of water takes, vary the amount, see if the model works, and it does. But a MIVO-denier is not happy, because our measurements with water doesn't reproduce with mercury. Well, duh, because they have different densities. MIVO-denier is still not satisfied, because now they have to go through the tedious task of finding the density of the material they have to work with before being able to apply the model. Furthermore, they have to keep the temperature constant, not mix liquids, etc. Yet, MIVO works regardless of how difficult it is to quantify, measure, or use. PS: Thanks for the reference. I had missed it. |
Here is a link from Harvard saying to stop counting calories[0]. Here is another link from Havard[1] going over the contestants of the biggest loser and how they are doing now.
There is new model The Carbohydrate-Insulin Model of Obesity[2] which has explanation that does explain the edge cases CICO is missing.
But calories are measuring food, and at the moment there is no better way to have overview of how much across different types of food. But CICO itself doesn't help with long term weight loss.
[0]https://www.health.harvard.edu/staying-healthy/stop-counting...
[1]https://www.health.harvard.edu/diet-and-weight-loss/lessons-...
[2]https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6082688/