[mikeyouse]

This is partly what I was talking about. Just odd dismissals of actuals scientific evidence.

It's a "major qualifier" that this study looked at middle aged overweight people? Or that they relied on a survey to assess symptoms but then quadruple blinded everyone? They added the long-covid assessment as a secondary endpoint to a group they were studying since before "long Covid" was a phenomenon.

And then to dismiss the result because you apparently misread the CI for the hazard ratio? For those on metformin, it extends to 0.89 not to 0.99 -- and is centered at 0.59 with a P = 1.2%. You can obviosuly quibble about subgroup analysis but for the 3-day group, it's 0.37 [0.15 - 0.95]. That's a fairly strong result!

[svnt]

The problem is always in the simplification as it is translated into lay conversations.

You cannot extrapolate from a median of obesity into the general population.

This is especially true when the medication you are having success with (metformin) is a treatment for diabetes.

What are they even measuring?

[mft_]

> This is partly what I was talking about. Just odd dismissals of actuals scientific evidence.

I've read (and heard first-hand) similar approaches by people with a (sometimes hidden) agenda to push. There's a lot of apparently "scientific" stuff out there, written confidently by people who ultimately aren't qualified, which is lapped up by those deep into the confirmation bias of whatever is topic is.