Again kudos to @beenwrekt for taking the trouble to find out what the raw numbers actually were in the Bangladesh mask RCT that’s been used in court to support school mask mandates.
The difference between the raw data and what was presented in the Preprint is striking 1/
Here is the verbiage from the study —> an 11% relative risk reduction in symptomatic seroprevalence with the treatment group that was given surgical masks,
The tables to support these words are here ..
The authors could have chosen to give us the actual raw numbers of symptomatic sero positives in treatment vs control, but instead we get interventional prevalence ratios and interventional coefficients ..
But they don’t.
Months later, when data / code is examined by @beenwrekt to c how many symptomatic positives were in the treatment and control groups .. the surgical mask group has 18 fewer cases, and the cloth mask group has 2 fewer cases
Surgical masks in the community are thought superior to cloth masks because out of 300k participants, investigators found an 18 case difference over 8 weeks, while cloth masks had a 2 case difference.
Unless somethings wrong with the data dump, it takes big time stones to confidently assert anything about masking 5 year olds based on this, even if Altoona, PA was similar to a village in Bangladesh.
Community mask 4 ever devotees will have to up their game. N95s with respirators may be the next hot Christmas toy little jack and Jill are going to find under their Xmas 🎄 tree this year.
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Brief summary for those interested. Bangladesh mask was a cluster RCT, (cluster because unit of randomization was a village) Treatment group had public policy intervention to increase use of masks, Control group was basically a poorly enforced govt. mask mandate)
Per pre-print 342,126 individuals in study. Endpoint was COVID 19 +ve symptoms AND positive antibodies.
Key Table shows of ~150k pts in each arm, blood samples could only be collect from ~5k patients in each arm.
I did appreciate the conversation, but it’s telling that one of the main data points @drsanjaygupta , chief medical correspondent @CNN ,chose to educate @joerogan on probably isn’t correct.
In order to be a vaccine provider in philly, months long application process, hours of webinar (mid-day), upload vaxx administered, wasted, in stock to 2 different websites every 24 hours, unpredictable allocation from local DOH, 30 day expiration in a -4 fridge. 1/
After we vaxxed everyone who wanted vax in the practice, walked to almost every business <1mile, street cleaning crews, random passerby’s etc .. declining demand / reg. requirements made it 2 hard to maintain vax stock.
Federal allocation schemes that have wide popular support generally favor big players that can navigate regulatory thicket, grease the right wheels to get early disbursements of product, (and make a small killing doing it)
In this preprint , the VAERS database was interrogated for anyone given a diagnosis of myocarditis/pericarditis/myopericarditis/chest pain AND appears to require an abnormal very sensitive blood marker of cardiac damage (troponin)
A few bites about the VAERs database. It was legislated into existence via the National Childhood Vaccine Injury Act (NCVIA) in 1986, which was a mechanism to shield vax manufacturers from litigation related to potential adverse events after getting vaccinated
Increasingly difficult to break through to many patients skeptical of recommendations seen coming from the medical establishment or through the mainstream media 🧵
Why is there a growing segment of the population that doesn’t believe experts/media ? Let’s start with a tragic non-med story of the last week.
Here’s the @AP account on a drone attack & what comes to light after someone actually investigates.
Everyone now knows about the fake ivermectin overdoses flooding ER story.
Journalists clearly know the headlines their audience will lap up — almost anything that will paint the half of the country that didn’t vote with them in a bad light will do