I must emphasize that all of the above are VERY ROUGH ESTIMATES w/ multiple assumptions (i.e., Harris County doesn't represent entire Houston Metro area (>7.1M), etc.)
But, good enough to obtain very basic odds ratios regarding how well the vaccines work vs. #omicron.
7a/
The paper reports data on positive tests for #Omicron, #Delta, and #Alpha variants.
We don't know how many people are truly positive for any of these, but weren't tested. So, in my table, I list them as "Not Known Positive" rather than "Negative."
Against, #alpha (the "original"), the paper just lists #FullyVaccinated, so we can't break down 2 vs 3 dose. But the RR is >31x greater for unvaccinated vs. #vaccinated!
If you don't understand the highly nuanced #MRI technique known as DTI, these results sound straightforward and convincing.
THEY ARE NOT. Don't be fooled by these numbers!🤔
I will dissect these in the thread below.
3a/
"No significant changes" is based AVERAGE response, not individual.
First, an easy-to-understand analogy below.
If half the sample experiences an increase and half experiences a decrease, they can cancel each other out to falsely suggest "no change" when one does exists!
The #Qcollar is based on the idea that jugular compression increases blood in the brain to create a "bubble wrap" effect, which prevents the it from bouncing around inside the skull.
According to the company, this mechanism is found in Nature. bit.ly/2KqTJvS
Thread/2b
From the company's promotional video, the device is justified based on reducing brain "slosh" by:
1) Replicating the animal adaptations (see 18:00 in video) 3) Replicating effects of "higher altitude" exposure (see 21:57, again at 36:00)