The curve looks quite similar: https://imgur.com/a/H4pKkNv
What I find interesting is your mention of a metabolic set point. Wanted to lose a bit more weight (since I still have visceral fat), but couldn't manage to do so. It seems I hit a hard barrier - any caloric deficit during fasting days was magically compensated exactly on non-fasting days; I tried to reduce caloric intake on non-fasting days, but while fasting a whole day isn't that difficult for me, restricting calories while eating seems to only work when my body has met a magical internal quota.
It seems indeed to be a set point. The small uptick beginning of June was when I skipped a fast day once. I'm a bit scared what would happen if I stopped fasting altogether now.
Would be interesting to understand more about the set point - however, some research on the net didn't yield much substantial info. It seems it exists, but how it works exactly and how it can be moved is unclear. And even if trying to move it makes sense. Maybe the set point is ideal health-wise, and is overridden on unhealthy caloric surplus diets...?
Maybe keeping your insulin levels relatively low, you can reduce the effect of the insulin cycle on your appetite
One dirty trick to try is, just after eating, to drink about two tablespoons of staight "extra-light" olive oil. It's a bit foul, but makes for a effective way of ruining your appetite. Other "bland food diet" tricks might also work.
(I'd like to mention that I do not support healthy diets, but my design to work against anything nature intends takes priority.)
Edit: two tablespoons, not eight, and apparently they make low-fat olive oil now.
It's also a very effective way of getting 1000 kcal.
0: http://slatestarcodex.com/2017/04/25/book-review-the-hungry-... # middle of section IV
It's just $ f(x_n) = f(x_{n-1}) * (1 - alpha) + x_n * alpha , f(x_0) = x_0 $ where 0 < alpha < 1 (lower values give a smoother graph but lags more)
Here's a quick sketch of how to do it in gnuplot without having to preprocess the data:
# Getting previous values via https://stackoverflow.com/a/25753509/5921362
alpha = 0.1
prev = 0
shift(x) = (prev = x)
ewma(prev, cur) = shift(prev * (1 - alpha) + cur * alpha)
plot data using 1:2 with p,\
data using 1:(prev < 1 ? shift($2) : ewma(prev, $2)) with l* [How It's Made - Canola Oil](https://www.youtube.com/watch?v=omjWmLG0EAs)
Detrimental health effects:
* [Canola oil linked to worsened memory and learning ability in Alzheimer's](https://www.sciencedaily.com/releases/2017/12/171207141624.h...)
* [Effect of canola oil consumption on memory, synapse and neuropathology in the triple transgenic mouse model of Alzheimer’s disease](https://www.nature.com/articles/s41598-017-17373-3)
Edit: thank you for the plotting comments (I heart these: I love all things tech, programmatic, bio*); I just wanted a quick way to see my overall progress over time. I enter my morning weight (digital scale) daily, and occasionally plot it (Ctrl-Alt-T shortcut to terminal; "gp" bashrc alias to run that plot command, "qq" to quit the terminal). ;-)
kudos for your fasting and thanks for the comment