A minor caveat to our findings is that the rate of the primary outcome was substantially lower in this study than was anticipated at the time of its conception and design, which potentially underpowered our ability to detect clinically meaningful differences, as well as important interactions. Although randomized participants had similar characteristics compared with those who were screened but did not enroll, they could have been at lower risk of death or major trauma because they jumped from an average altitude of 0.6 m (SD 0.1) on aircraft moving at an average of 0 km/h (SD 0). Clinicians will need to consider this information when extrapolating to their own settings of parachute use
Real studies have an equivalent para far too often.
There is no evidence from RCT studies, that parachutes work (this post).
There is no (or only very weak) evidence from RCT studies, that condoms work: https://jech.bmj.com/content/65/2/100
According to the Cochrane Database of Systematic Reviews, there is no evidence from RCT studies, that face masks would protect against respiratory infections: https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD...
The point is that the Cochrane review is probably wrong, and face masks do protect, just like parachutes and condoms. And the more general point is to criticize the whole process, that has made half of the Western medical doctors mask skeptics. The point is to say that there are protective equipment that obviously, measurably works, but for which it is difficult to present evidence from RCT-type studies.
Linking their general points from 2018 to specific examples from the recent pandemic, is of course post hoc. But it demonstrates that their notion was not merely theoretical, but important in practice.
They thoroughly researched the effectiveness of parachutes on a pool of candidates at various speeds and altitudes. While the initial pool of candidates covered a variety of situations, for some reason, the pool of participants willing to actually participate in the study was heavily biased towards people in an aircraft standing still on the airport, with about 60 cm from the door to the ground.
The bias may have been further increased by the selection criteria where participants deemed mentally unfit by the investigator were excluded, and willingness to jump from an airplane at altitude with a 50% chance of an empty backpack increased the likelihood of exclusion.
The bottom half of the right column on page 4 explains how this is relevant for real world studies.
I suppose an example would be comparing the death rates of people who'd been on a statin drug for a few weeks to those who weren't on the drug at all. You'd probably find no different in morbidity, which might suggest that statins don't do anything.
> [The study] would use all the best practices
You've go some major contradiction here, since when is such manipulation "the best practice"?
That's the spirit in which I used the term. In plain English: you can correctly apply certain practices that are famously powerful and acceptable, while subtly undermining them in a way people might not notice, or would happily pretend not to notice if the study fits with their political position on the matter.
(Less snarkily, we're all making resource allocation decisions constantly and on the margin those are life or death decisions).
IMHO, on the margins you're allowed to use common sense. Also: your grandma / your grandpa, your resources applies.
Now someone has -- and it turns out they don't have any effect!
It's also possible that the paper criticizes some common features of "scientific" studies.