Quote (ofthevoid @ Feb 1 2022 07:27pm)
Can you explain to me why certain studies (ones you apparently agree with) hold weight but ones like the one I posted or this more recent Japan one you choose to reflexively minimize?
I’m just trying to understand why some scientific research you believe but other findings that you don’t agree with you want to minimize?
Research happens in an aggregate. Any single study may or may not be true. I completely believe that Japanese company saw a reduction of whatever their outcome is in whatever model they're using, that doesn't mean its a clinically effective compound. I have literally worked on compounds that had incredible in vitro and preclinical data that flopped in clinical trials. It's deflating and it sucks but it happens more than you succeed. I'm not the one of the two of us cherry-picking research to back up my world-view, the aggregate weight of the data that currently exists points to Ivermectin not being clinically useful to treat covid symptoms. You can find outlier studies or in-vitro reports or even shitty pre-prints to back yourself up, but you're intentionally overlooking the volumes of data suggesting otherwise to find information to turn on your dopamine system to feel self-rightous.
You opened this conversation by saying I was holding non-clinical data to to high a standard, and I've told you its literally the standard all compounds are held to. No one develops a drug based off an in-vitro assay without a decade of work in between.
Also more importantly, the meta-analysis you've posted is still including a study that showed the largest decrease in covid deaths out of all the ivermectin trials in their aggregate that got pulled for fraudulent data/plagarism.
This post was edited by Sioux on Feb 1 2022 09:42pm