Educational attainment is strongly correlated with obesity rate across US states:
I used this obesity dataset from the CDC and this educational attainment dataset from the USDA.
Oh my, I completely misunderstood your previous comment. I apologize.
ETA: I’d completely misunderstood Elizabeth’s comment. This comment I wrote does not make sense as a reply to it. I’m keeping my comment here with this disclaimer on the top because I wanted to make these points somewhere, but keep that in mind.
the fact that we've known about it for >10 years and it hasn't spread widely suggests to me that it's unlikely to be a silver bullet.
I don't know exactly what you mean by "unlikely to be a silver bullet," but I want to outline the reasons I think this diet is nowhere close to being a $20 bill lying on the sidewalk, as some people seem to think it is:
I hope no one is taking the attrition rates calculated in their post at face value, given that all of their data is from people who literally signed up for a potato diet and hence there is a very obvious selection effect at play. Even if you do take them at face value, however, the attrition rate was like 40%-60% after 4 weeks, depending on how you slice it, compared to 18.8% after 3 months in this study that they mentioned, and ~30-50% per year in general in the diet studies they talked about.
They cited this study as having a "56.3%" attrition rate. I think they were probably referring to the fact that the attrition rate was 53.6% (not 56.3%) after 12 months. I don't know why they chose to report that number, when the study also reported a 3-month attrition rate, which is much closer to the timescale of their own diet.
The next step would be a more serious experiment like the Potato Camp they mentioned.
This is puzzling to me. Randomizing people to different kinds of somewhat restrictive diets seems like a way cheaper and more obvious experiment to test some of SMTM's hypotheses, such that the potassium in potatoes clears out lithium or whatever.
It seems to me that they would have incurred little additional cost if they had randomized people in this study they already did, so I am somewhat confused about the choice not to have done that.
I say "somewhat restrictive" because I'm reluctant to advocate very restrictive diets, given the very low caloric intake reported by some people in SMTM's blog post, and the increased risk of gallstones and refeeding syndrome that people incur by eating that little.
This metabolic ward study by Kevin Hall et al. found what the hyperpalatability hypothesis would expect.
I apologize for commenting so much on this post. But here is more evidence that, contra SMTM, being underweight is a lot less common now, not more common:
I don't know why they say that being underweight is more common now, given that that is literally the opposite of the truth, and given that it is quite easy to figure that out by Googling.
It is true that the variance in BMI has increased, but that is entirely due to higher BMIs being more common. Here are (sampling weight-weighed) KDEs of the distributions of BMI in the early 70s (orange) versus 2017-2020 (blue) in the United States, using data from NHANES:
The code I used to create this plot is here.
Update: I have now looked into the raw TSH data from NHANES III (1988-1994) and compared it with data from the 2011-2012 NHANES. It seems that, although median TSH levels have increased a bit, the distribution of serum TSH levels in the general population aged 18-80 (including people with thyroid disorders) has gotten more concentrated around the middle; both very high levels (characteristic of clinical or subclinical hypothyroidism) and very low levels (characteristic of clinical or subclinical hyperthyroidism) are less common in the 2011-2012 NHANES compared to NHANES III. You can see the relevant table here. There might be bugs in my code affecting the conclusion of the analysis.
This paper, which pretty much used the same NHANES surveys, looked at a somewhat different thing (thyroid levels in a reference population without thyroid disorders or other exclusion criteria) but it seems to report the same finding w.r.t. high TSH levels: a lower proportion of the population in the latest survey meets the TSH criteria for clinical or subclinical hypothyroidism.
My last comment addresses this. They cover a broader range of methodologies. Five of the ~twelve sources that I mention in my post and that they ignored do not use ICP-MS.
On top of picking 5 of the ~20 estimates I mentioned to claim that low estimates of dietary lithium intake are "strictly outnumbered" by studies that arrive at much higher estimates, they also support that claim by misrepresenting some of their own sources. For example,
They also mention a lot of other dry mass estimates, such as those from Borovik-Romanova (1965) and Ammari et al. (2011). This time they do disclose that those estimates are for dry mass, but they nevertheless present those estimates as contradicting Total Diet Studies, as if they were measuring the same kind of thing, when they are not.
Notably, they say "Duke (1970) found more than 1 mg/kg in some foods in the Chocó rain forest, in particular 3 mg/kg in breadfruit and 1.5 mg/kg in cacao," and fail to mention that most of the foods in Duke (1970) have less than 0.5 mg/kg of lithium.
Also, only one of the examples SMTM used to claim that the Total Diet Studies are "outnumbered" actually attempted to quantify dietary lithium intake, whereas almost all of the studies I've mentioned do that. This is important because a lot of the sources they cite that we don't have access to (there are several of those) could be measuring lithium concentration in plant dry matter, as a lot of their sources that are available do, in which case seemingly high concentrations do not imply high dietary consumption.
Moreover, a lot of their post is focused on speculating that ICP-MS (the technique used by most studies) systematically underestimates lithium concentration. However:
All of those find very low concentrations of lithium in food.
Moreover, they themselves mention a paper that uses ICP-MS and finds high concentrations of lithium in food in Romania (Voica et al. (2020)).
These studies are a substantial fraction of all of the studies on lithium concentration in food that we have. So it seems to me that their whole focus on ICP-MS, and their claim that it "gives much lower numbers for lithium in food samples than every other analysis technique we’ve seen," does not seem warranted.
Again, I don’t think that studies that find high concentrations of lithium in food are necessarily wrong. There is no market pressure for food to have 1 µg/kg rather than 1000 µg/kg of lithium, or the other way around, the way that there is market pressure for meals to have e.g. carbohydrate/fat ratios and energy densities within a specific optimal range. Consumers do not care about whether lithium concentration is 1 µg/kg or 1000 µg/kg. And we know that lithium concentration in e.g. water varies a lot according to lithology and climate, so we shouldn't expect this to be uniform around the world. So I don’t see how it must be the case (as the SMTM authors claim) that all studies that find low concentrations are wrong.
The example was Schrauzer (2002), which bases its estimates on hair concentration rather than actual food measurements. Ken Gillman says that this paper "has a lot of non-peer-reviewed and secondary references of uncertain provenance and accuracy: it may be misleading in some important respects." Also, interestingly, as I mentioned in my post, the highest estimate Schrauzer (2002) provides for dietary lithium intake is from China, not really a country with a huge obesity problem.
(Note that the Ken Gillman blog post has a typo: it says that the "typical total daily lithium intake from dietary sources has been quantified recently from the huge French “Total Diet Study” at 0.5 mg/day," a value that is 10x too high.)
The SMTM authors just released a post (a) addressing some of the Total Diet Studies I found, where by "addressing" I mean that they picked a handful of them (5) and pretended that they are pretty much the only studies showing low lithium concentrations in food. (They don't mention this blog post I wrote, nor do they mention me.)
Their post does not mention any of the following studies that were mentioned in my post, and that found low lithium concentrations in food:
Given that they say that the 5 TDSs they picked "disagree with basically every other measurement we’ve ever seen for lithium in food" (and repeat this point quite a few times in their post) it does not seem that they have read my post yet.