KempyKolibri
Joined 2 years ago
Joined 2 years ago
I think it’s pointless to quibble about very specific things like this, but that gets thrown out the window when someone claims “Definitions are the very basics in writing, check them before you publish” and then use their own nonstandard definition!
Seems like they wanted to nitpick about term usage when: a) the usage they’re taking issue with is actually fairly commonplace (e.g. https://www.who.int/news/item/27-10-2017-who-to-review-its-i...) b) their own suggested replacement is very heterodox (I’ve certainly never heard anyone call it that).
I think this speaks more to a culture of thinking of other peoples’ experiences/rights/feelings as well as their own.
Whenever I drive in the US I’m always staggered by just how selfish people are on the roads, for example. Is another car very clearly merging onto a highway where it would be easy to make enough room for them to merge? In the UK, 90% of the time the cars on the highway will make room. In the US I’ve literally never seen it happen.
It's not a question of "can we learn to shut up?", it's "will humans ever care enough to even want to learn?".
I engage with anti-science behaviours quite a lot (antivaxx, anti seed oils, etc) and the proportion of engineers I see there is staggering.
They actually acknowledged that reverse causation is a risk here and so ran a sensitivity analysis by excluding patients with less than 5 years of follow up (a nice way of saying “patients who died within 5 years of the LDL-c reading”), the idea being that if these results were likely being driven by reverse causation, you’d expect to see an attenuation of the results.
I’d point out that even if we didn’t, five years is a bit of a weird cutoff - plenty of LDL-c lowering diseases take much longer to kill the average person. Moot point though, because excluding those participants attenuated the result to the degree that the association with LDL-C and mortality became statistically insignificant.
Quite why the authors said “we’re aware that reverse causation is a risk factor, let’s run a test to check if it’s likely influencing the results” and then completely ignored the fact the results suggested it was influencing the findings, is anyone’s guess.
So yeah, basically huge confounder seems to be in play that likely explains the “paradox”.