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1/ I'm retweeting this with interest in having a productive conversation regarding @ScepticalDoctor's suggestion. Without knowing in advance, I'm going to check this profile against NHANES data on all cause mortality and see how it compares having higher LDL, all else the same...
2/ Before doing so, I'd like to request everyone treat this conversation productively. Let's keep it about the science, not personal attacks, ridicule, etc. I think it's a worthy discussion to have on the data alone.
3/ Here's the conversion from mmol/L to mg/dL

mmol/L => Total: 3.9 | LDL: 1.9 | HDL: 1.7 | TG: 0.7
mg/dL => Total: 151 | LDL: 73 | HDL: 66 | TG: 62

And FWIW, I like this profile's HDL and TG regardless, as I think the two together are extremely relevant for CVD and all cause.
4/ For NHANES IV, I have a total of 19,696 that include Total Cholesterol (TC), HDL cholesterol (HDL-C), triglycerides, (TG), and mortality status.

Now let's grab only those with HDL of 66 +/- 10 and those with TG of 62 +/- 10...
5/ This knocks down the total number substantially to just 1,246.

We could divide the groups by an LDL of 100...

If so, mortality overall and % per year goes to the higher LDL group in spite of their average age being 5 years greater...
6/ We could further stratify to 1-79 / 80-99 / 100-119 / 120 and above. But then we get a much bigger age disparity at the high LDL side.

Ironically, it still has lower mortality than the 1-79 LDL group.
7/ To get us more N in each grouping, I've widened the delta in both HDL and TG to +/- 20 instead of +/-10

With a larger sample size the highest LDL appears ahead of every grouping in spite of the higher average age...
8/ It's worth emphasizing that many will suggest this is "reverse causality" and I think that's a fair point and worth exploring.

For example, some forms of cancer can correlate to lower LDL before death, thus potentially being the root cause of both. However...
9/ With that said, one can't use this hypothesis as a catch-all assumption without establishment of the evidence. There are likewise ways in which cholesterol will increase under crisis that could also offset this correlation.
10/ So again, epidemiology isn't great at proving causation -- but it is good at knocking down claims of causation.

For example, we wouldn't expect all those living past age 100 to be three pack a day smokers.
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