This is part that keeps this potato diet stuff interesting to me is that they've been extremely open with the numbers, from the very beginning. Most fad diets you have no idea how many people participated or the particulars of their habits during the participation period and there was no follow-up at all beyond the participation period.
I don't think SMTM has "cracked" anything with the potato diet yet and I don't expect to see useful "answers" from SMTM, but they've been good so far at some of the raw bits of science: finding ways to ask interesting questions and recording as much data as possible about it, publishing that data, and then finding interesting new questions from that.
Sometimes I feel rather cynical that we'll not see any answers in my lifetime, but I appreciate a blog asking interesting questions and then trying to data science what they can around them to find more useful questions.
From a chemist/material scientist perspective: Whether the results of the Riff trial may ever have a p value suitable for nature/science, likely not. When it comes to the human body and our biology, a mass trial like this may even be more useful than traditional studies, where pre-existing biases in data collection may weed out the most useful 'Riff'. Better than that, the information collected by mold_time is regularly released and discussed, in the open, on twitter/x [2].
[0] https://www.nature.com/articles/nature25476
It's been more than a year since I alerted them of the multiple falsehoods in A Chemical Hunger, repeatedly, and they haven't done anything about them.
> The problem is that you can easily come up with 100 different hypotheses for what’s going on. Ok, so you run 100 different studies to test each one. But studies take a long time to run — let’s say 6 months per study. Congratulations, you’ve just locked yourself into 50 years
This is a major problem with science whenever you have less of a theoretical foundation. Compared to physics or chemistry, we know very little about nutrition or sports science. Because of this, the search space is very large. One could argue that given the number of surprising results (and difficulty reproducing those results), medicine and psychology also fall into this category.
> A riff trial takes advantage of the power of parallel search. Some riffs will work better than others (or at least differently), and parallel search helps you find these differences faster, especially if the differences are big.
What if we did more to encourage people to track and report their personal experiments? If even 10% of everyone on a diet (any diet) just tracked what they ate, what exercise they did, and how much weight they lost, and reported it to a centralized database, scientists could then look for patterns in that data and do formal studies based on suspected patterns.
We could do similar things with longevity/happiness. Look at the "Harvard Study of Adult Development" but imagine it was spread out over 10s of thousands of diverse people instead of just 300 upper-class American men? The data quality wouldn't matter much if all you are doing is searching for patterns to do follow-up studies.
That’s radically different from other diets.
Like, they crow that the potato mono-diet "works," in that the people who successfully followed it lost weight. Well, sure -- all of those 70s fad diets "worked" in that sense! Grapefruit and popcorn? Sure, you can lose weight on that!
But their own numbers show that people regain the weight after they start eating other foods again: "On average, people gained back most of the weight they lost."[2]
People who successfully follow very restrictive diets will lose weight... as long as they follow it. And these "riffs" in the OP where it's potatoes and bacon, or potatoes and gummi worms, or whatever, won't change that basic observation.
[1]: http://achemicalhunger.com/
[2]: https://slimemoldtimemold.com/2023/01/26/smtm-potato-diet-co...
The critical temperature is 127 C, as the other commenter mentioned. That seems like it's high enough to be useful in a computer CPU.
I suppose there might also be applications for power distribution in a data center. You might use a few large, high-efficiency low voltage DC power supplies to supply the whole site instead of hundreds or thousands of individual power supplies if electrical resistance in cables was less of an issue. (I think this sort of thing is done now, but more at the rack level, since long cable runs cause losses.) You might even use 1V power instead of 5V or 12V.
(Granted, superconducting materials don't have unlimited current capacity, and bad things happen if you exceed the limit.)
Perhaps because what they post doesn’t hold up to scrutiny from their peers, so they prefer to play in the mud with the folks who won’t notice the issues with their ideas.
Unless blogs started receiving peer review while I wasn't paying attention, there's likely a reason any given content lives there and not in an academic paper.