https://twitter.com/BreannaMorello/status/1562982402397327360
Breanna Morello
@BreannaMorello
Dr. Birx, the CDC, Dr. Fauci, and Mark Zuckerberg are all coming clean on the facts we already knew BUT why now?
https://twitter.com/WallStreetSilv/status/1562214907248091136
Wall Street Silver
@WallStreetSilv
BREAKING: Protests break out in Lahore, Pakistan.
People took to the streets after receiving huge utility bills despite 12-16 hour daily black out 🚨
https://twitter.com/Resist_05/status/1562561488434278400
Pelham
@Resist_05
Lahore, Pakistan… Government has threatened to cut off banking with the use of Digital ID to anyone that protests against the regime… RESIST
https://stevekirsch.substack.com/p/the-safe-and-effective-narrative
The "safe and effective" narrative is falling apart
https://www.thegatewaypundit.com/2022/08/breaking-trump-responds-release-heavily-redacted-mar-lago-raid-affidavit/
“Nothing Mentioned on “NUCLEAR” – Judge Bruce Reinhart Should NEVER Have Allowed the Break-in of My Home” – Trump Responds to Release of Heavily Redacted Mar-a-Lago Raid Affidavit
https://www.bitchute.com/video/WlqR20GptJKo/
DR. BRIAN ARDIS & DR. RASHID BUTTAR - INFORMATION WORTH DYING FOR
Watch The Water
"3.3 Relative synonymous codon usage analysis
As parasitic microorganism, virus codon usage pattern resembles its host to some extent. The RSCU bias shows that the 2019-nCoV, bat-SL-CoVZC45, and snakes from China have similar synonymous codon usage bias (Figure 3A, Table 1). The squared euclidean distance indicates that the 2019-nCoV and snakes from China have the highest similarity in synonymous codon usage bias compared to those of bat, bird, Marmota, human, Manis, and hedgehog and (Figure 3B). Two types of snakes, containing B. multicinctus (many-banded krait) and N. atra (Chinese cobra) were used for RSCU analysis. "
Cross-species transmission of the newly identified coronavirus 2019-nCoV
https://onlinelibrary.wiley.com/doi/10.1002/jmv.25682
Abstract
The current outbreak of viral pneumonia in the city of Wuhan, China, was caused by a novel coronavirus designated 2019-nCoV by the World Health Organization, as determined by sequencing the viral RNA genome. Many initial patients were exposed to wildlife animals at the Huanan seafood wholesale market, where poultry, snake, bats, and other farm animals were also sold. To investigate possible virus reservoir, we have carried out comprehensive sequence analysis and comparison in conjunction with relative synonymous codon usage (RSCU) bias among different animal species based on the 2019-nCoV sequence. Results obtained from our analyses suggest that the 2019-nCoV may appear to be a recombinant virus between the bat coronavirus and an origin-unknown coronavirus. The recombination may occurred within the viral spike glycoprotein, which recognizes a cell surface receptor. Additionally, our findings suggest that 2019-nCoV has most similar genetic information with bat coronovirus and most similar codon usage bias with snake. Taken together, our results suggest that homologous recombination may occur and contribute to the 2019-nCoV cross-species transmission.
kek
https://www.researchgate.net/publication/361818561_Covid-19_vaccinations_and_all-cause_mortality_-a_long-term_differential_analysis_among_municipalities
Covid-19 vaccinations and all-cause mortality -a long-term differential analysis among municipalities
Abstract and Figures
We analyse the relation between covid-19 vaccinations and all-cause-mortality in N=340 Dutch municipalities (17.3M people, ~99% of population), during the entire pandemic period. We do not use covid-19-attributed mortality, mortality predictions and excess mortality, thereby bypassing the ambiguities of case-identification and mortality-modeling. Municipal demographics such as age, culture and population density are strong confounders of mortality and vaccine-uptake. We account for these by normalizing results to prepandemic year 2019, where covid was absent but demographics were highly representative for later years. Normalized to 2019, we found no correlation between municipal mortality in 2020 with vaccination uptake in 2021, which shows the effectiveness of our confounder accounting. We could not observe a mortality-reducing effect of vaccination in Dutch municipalities after vaccination and booster campaigns. We did find a 4-sigma-significant mortality-enhancing effect during the two periods of high unexplained excess mortality. Our results add to other recent findings of zero mRna-vaccine effectiveness on all-cause mortality, calling for more research on this topic.
FYAH