I want to investigate the Hector Carvallo situation. This 🧵is likely to become overlong and meandering as I'll try to figure things out in real-time, so if you want to help please tag along, and if you want "just the facts" best to just mute this one and wait for the summary.
I'm aware of 3 main articles I'll try to comb through, and I've read none of them closely. Please comment with other resources.
The buzzfeed article is actually quite confusingly written. It seems the summary of the issues Buzzfeed found with Carvallo's work is:
- Numerical issues
- Hospital record
- Provincial record
- Declining to share data (incl. with collaborator)
The "hospital records" claim is essentially this:
There is one more "hospital records" claim, actually:
The "declining to share data" element is documented here, and also Bret Weinstein had shared a similar story on his podcast, a few days before this article came out.
The "provincial records" claim is this:
The numerical issues claim is around ages, genders, and some +1/-1 issues in sums, but most importantly, it seems Carvallo wasn't able to accurately state who worked on the numbers, at least according to Buzzfeed.
The confusing part is that Buzzfeed doesn't do a good job of separating the two papers that it talks about, and essentially treats them as one long study that included both papers. If so, fair enough.
The TSN article is a bit of a puff piece, with very little information of pertinence. The only real relevant fact it adds to the story is the information about how he was asked to stop the study.
Ah, in the RESCUE article there is a story for how the health workers were enrolled, and the hospitals not having records starts to make some sense, especially if they were the smaller participants in the study (haven't confirmed this)
Surprisingly, I'm pretty much out of material here, unless someone has something to share. Steelmanning, I can *almost* build a story around the hospital and provincial registrations, if there was a political campaign against IVM, but declining to share the data is not good.
From the buzzfeed article, it's clear *some* trial happened, but the absence of data without a clear story for declining to share makes me suspect the results may have been overstated or otherwise compromised. Unless something emerges, I'll leave it at this for now.
Like a genie, @enrg42 shows up with more material!
Actually, reading the transcript available there I don't see anything new except for some equivocation from Carvallo. While he was quite pro-vaccine in the buzzfeed piece, he seems far more skeptical here. Not a good look.
I'm realizing that the insitence on Randomized Controlled Trials (RCTs) as the only evidence that matters when deciding if a medicine/supplement should be used, structurally biases against generics, over-the-counter meds/supplements, and those with few side-effects. Here's why:🧵
The first class of problems has to do with wide availability when the subject of effectiveness on a new disease is raised.
1. Cheap OTC generics with few side-effects get used a lot in an emergency, where word of mouth spreads, making it much harder to form a control group.
2. These substances, when there's a suspicion they can be effective in an important disease, will spark many studies all over the world. This means there will be many small trials, of varying protocol/dosage and study quality. This is a big problem for two reasons:
Apparently Twitter has unfollowed me from @BretWeinstein.
Hey @jack. When I say I want to follow @BretWeinstein, I mean I want to follow @BretWeinstein, and it's not a matter up to Twitter's whims to decide that I don't. Capish?
First of all, it's important to say that while the tweet is far more carefully worded, the quote offered to the BBC, and not corrected when the article is shared, is far less careful, and basically false:
That aside, what's actually being said, is that if the bar is set to:
- Randomized Clinical Trial
- Endpoint is survival/death
- Result reaches p<0.05
All the trials with the above characteristics are "fake or did not actually happen as described".
I don't tend to list credentials, but in case this is read by academics, and this makes a difference, I'll mention that I have a PhD in Computing. Google says that the papers I wrote in my ~3 year publishing run have been cited 865 times and that my h-index is 11.
The BBC article is laced with the usual anti-ivm talking points I've addressed in other threads, and I will assume that they have been added by the journalist. In this thread, I'll focus on the fraud claims, which are sourced to the investigations of the group.
Let's start keeping track of Fauci calls for resignation, from mainstream voices, overt and covert, because I'm starting to notice a bit of a pattern. May be nothing, may be something. 🧵washingtonpost.com/opinions/2021/…
This was a bit of a subtweet, also (hint: Collins was there for 12 years, Fauci has been there for 37).