| Except that the drug has negative side effects and does not work-not even with the most optimistic interpretations. If you allow that, you're back to HCQ for Covid territory. Or all the autism "treatments". The problem is that most people think of medical outcomes as having 2 results when there are 4. The 2 everybody thinks about are "drug given->patient gets better" and "drug not given->patient gets worse". But there are two more cases. "drug not given->patient gets better" is wonderful in the super-rare cases when it happens and is totally unproblematic. The problem is that the case "drug given->patient gets worse" is common--doubly so for experimental treatments--exponentially so for experimental cancer treatments. And the problem is that it can be due to either the disease or the drug or both. This case is the one that you can't explain in a soundbite. And it's one of the big hurdles in drug discovery. The vast majority of people simply will never get this. We know this. We watched it play out in real time--multiple times. Sure, if you made everybody pass a Bayesian statistics exam before they could get their treatment, that would work. But then you'd be "gatekeeping a cure". Stupidity is the norm, not the exception, and greedy, evil bastards are not unrare. Your rules have to, sadly, take that into account. |
It is not actually super rare. One might even say this is the most common case. I guess what you can say is that spontaneous remission is super rare to happen for “serious” diseases. But that is circular reasoning because we kinda define serious diseases by the fact that it is rare to just get better without treatment from them.
Why is this important? Because this is one of the main wrinkles with drug testing. If some people just get better on their own then you have to be very carefull with statistics and double blind protocols. Because if not you might confirm your belief in an innefective, or maybe even harmful treatment by random happenstance. Therefore i would say this case is also one of the big hurdles in drug discovery.
Otherwise i agree with the general gist of your comment.