Spoiler: I’m working on an analysis that is ground breaking and will flip the whole vaccine narrative around!!! Stay tuned, will post tomorrow. Prob one of my best pieces yet!!!
It’s based on official cdc/study data. Bullet proof IMO
Guys, please stay patient. Still working on write up!
Graphs are finished, but we just made another discovery, that needs to be looked into...
Sorry for the delay...
Still hoping to post today
Posting tonight 9PM PST.
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A recent study by Thompson et al., which was published in the @NEJM, funded and features by @CDCgov in its weekly MMWR series, looked at COVID-19 Like Illness (CLI) hospitalizations for the age group 50+.
The study authors identified over 40k hospitalizations.
These were not all-cause hospitalizations, but CLI diagnosed hospitalizations, which is a subset of all hospitalizations. Time frame: 1/1/21 - 6/22/21.
The below diagram tries to visualize the study sample (red).
Daily tests; It proofs my suspicoun that unvaxxed are tested 70% more than vaxxed.
This heavily skews the VE calculations!
Unfortunately not publicly available, and we also don't even know it by age...
Based on this report, the total tests for unvaxxed for this specific calender week made up 53% of total tests.
Unvaxxed that are test eligible (age 3+) only make up 26.7% of the population.
This suggests that unvaxxed are roughly tests 2x as often as vaxxed.
In it's efficiacy calculation Pfizer mentions 8 vs 162 infections, arriving at at VE of 95%. That's correct, but let's assume all or some of those excluded might have been either infected or injured... How would VE look then?
Including all 311-60=251 additional protocol deviations from the vaccine arm, into the calcuation we arrive at -61% VE. Yes negative!
Why vaccine efficacy (VE) MUST be calculated by taking into account 'total number of tests', and why calculations based on population are likely misleading/incorrect.