The CDC just decided to continue the transportation mask mandate for another two weeks. Dr. Bob Wachter, Chair of the Department of Medicine at UCSF, concurs with the CDC decision. This doesn’t prove that masks work. Instead, it proves that the CDC, Wachter, and most mainstream scientists (who claim masks work) are incapable of differentiating solid science from a sloppy study.
There have been only two randomized trials to test whether public policy using masks to mitigate the spread of SARS-CoV-2 can reduce the spread.
The first one, in Denmark, failed to show that masks made a difference. However, they were forced to re-write their paper to claim masks worked in order to get their study published. This is known as “scientific corruption to match the political narrative.”
But was it really? We challenged Yale Professor Jason Abaluck, the first author of that study, to defend their study. To his credit (and our utter amazement), he agreed but with one condition: we were only allowed one person to challenge him (because that’s how science works of course). We instantly agreed.
The discussion happened on April 3, 2022. The result: Abaluck failed. Badly. Very badly. One of our experts who viewed the interview said that it was worse than just sloppy work. He wrote, “This is bordering on fraud.”
In short, the Bangladesh mask study again failed to prove that masks make a difference. It was all statistical noise.
For example, here’s the graph for purple cloth masks. If masks worked, it would be highly unlikely for these curves to be on top of each other. For some strange reason, graphs such as these were omitted from the paper. Can you guess why??? Yes, it’s because the study was designed to fit the narrative. Subgroup analysis that goes against the narrative is not shown in the paper. That would cause people to ask questions.
You can see the entire 2-hour Abaluck discussion yourself and make your own judgment. You can watch Jason contract himself multiple times and make appeals to authority.
I also include a link to my interview with statistician Mike Deskevich on his interpretation of the Abaluck discussion. In the video, Mike clearly explains why the study shows no effect and he does it in just a few charts. You don’t need to know much about statistics to see what is going on. As soon as you see the huge variation in the control groups (and the huge variation based on mask color), it’s over. This is a great video because you’ll learn how to interpret other studies like this.
Initially, Professor Abaluck was so self-confident he thought he could run circles around us. He was wrong. The truth won.
So now Abaluck has changed his tune. He now says he won’t talk to us anymore or answer any more questions.
The bottom line is this: there is no rock on Earth that is large enough for study authors to hide under. The use of masks to slow the spread of SARS-CoV-2 has been debunked.
Masks don’t work. There is a reason these studies failed to find an effect: it’s because there is no measurable effect. Our team has said this from the beginning.
In fact, even Fauci agrees masks don’t work. Watch this video starting at 29 seconds into it where he admits it might make people feel better and it might block a “droplet or two.”
Science today is not about transparency. It is about finding creative ways to adjust your study to please your funders and then to avoid being challenged by hiding from people who seek to challenge your work. This is why I can’t get a debate on vaccine safety and efficacy with any of the members of the FDA or CDC committees, for example.
This interview with Abaluck shows that when we do get a chance to challenge mainstream beliefs, we win. So far, we’ve only been given a single “at bat” opportunity. We are now 1-0.
So now you know why we can’t find any authority who wants to debate our team on any of our points: they know they will lose. So they make up excuses to avoid being challenged like that we are misinformed, lack credentials, or that they don’t have time for such silliness as defending their study. This is also why there is such an intense focus on censoring, deplatforming, gaslighting, and discrediting us: because they don’t want their bad science to be exposed.