https://t.co/o8zqouq0HB
Bias, however, is an important problem in the WHO data. Also, an important problem seen in the points being scattered around is that they seems to be pulled toward the Huanan market—it was likely that it was used as the point of origin for the coordinate

@danwalker9999 System used. https://t.co/KnPRvIN8uK At this level of imprecision, it becomes impossible ti distinguish the Huanan market, the Wuhan CDC, and the Hankou railway station—the last of which is the main transport hub in Wuhan and the only transport hub reachable from the WIV within
@danwalker9999 1 transfer on the metro system. Cases “unlinked” were mainly clustered north of the Hankou station—which was one of the major exits through the hankou station and one of the transfer stations next to the Hankou railway station. Even connor reed, which is on the east of the
@danwalker9999 Yangtze river, supposedly have onset in November 2019 (whistleblower case #2), was connected to the WIV directly—it was on the same metro line, line 8, as the WIV. As he is an education worker, he need to commute to Wuchang where the universities are—exposing him to the WIV
@danwalker9999 Every time he takes line 8 to commute. https://t.co/5TIqOjt2p1
In addition to enforced ascertainment bias toward the market with a retrospective case search that specifically targeted the immediate surrounding of Huanan market, symptomology bias with lineage B created an
@danwalker9999 Intrinsic bias since lineage A and lineage v is much milder, and ARDS/severe Pneumonia is extremely uncommon in lineage A cases. This effectively made the WHO blind toward cases before the evolution of lineage B in the Hankou railway station. Even though IgG serology and
@danwalker9999 Post-lockdown mass testing show that highest prevalence of infection was in Wuchang not Jiangan or Jianghan.
@danwalker9999 All retrospective efforts before the Hubei health committee ordered all the rest of the samples destroyed and information about them sealed away from public release (especially the WHO report), was focused on the immediate surrounding of the Huanan market.
@danwalker9999 The similar problem also crept up with their weibo data—which, if they used time-resolved alerts in Wuhan, would have resulted in Wuchang being the epicenter of early case alerts before 18/01/2020.

More from Daoyu

@AngloScot2 @WisdomRebel https://t.co/iHKwUoNLJ5

https://t.co/sxm17Eu9hV

https://t.co/FtjifSGItc
PRRA is highly purified in the CaLu-3 cell line when FBS is added to inhibit trypsin. Stu lied about that in his defense on the FCS identity. https://t.co/GzM7uA6vup the Gallaher article contain glaring

@WisdomRebel Mistakes and is completely impossible as HKU9 + RaTG13 only lead to a frameshift inactivated S and not a furin cleaved S.
https://t.co/gmDXK9OluN
The serological test the WIV claimed to be negative in Shi’s addendum is the exact same test they claimed positive in 2012 in the phD

@WisdomRebel thesis, and Stu once again lied about it. https://t.co/Uiy8U9BTYp significant evidence in the form of contaminated SRA datasets suggest that the DEFUSE grant have been funded in China, as the full-length HKU4 is not a part of the 2016-2019 grant, but is found before the start

@WisdomRebel Date of the 2020-2024 grant of June 2020. The WIV also contained several HKU3-like Coronaviruses, particularly in mice in an 2017 GEO experiment, which is consistent with the published HKU3 and batified mice experiment in the DEFUSE document (evidence from an already conducted

@WisdomRebel Experiment). Either DEFUSE or fast-tracked form of the 2020-2024 grant in 2019 would have lead to full-length Sarbecovirus clones being used, leading to SARS-CoV-2 in the lab—they used HKU4 in stead of HKU5 for the MERS spike experiment indicating that backbone sequence distance
https://t.co/TVXC4QOjt0
https://t.co/QnMiOrdNhx
https://t.co/ZK2vfwYEFj
in fact, adaptation in CaLu-3 actually reverses changes that happened in VERO E6. P681 and RRAR is fine-tuned to growth in CaLu-3 cell cultures. P681 guards the cardin-weintraub motif against cleavage in

cell lines.

https://t.co/vytn6YVRYQ
https://t.co/fjg6ZXc2KN
the FCS is perfectly stable in anything that isn't VERO E6 classic or 293T-ACE2. anything that had TMPRSS2 and grown in trypsin-free media stably maintains the FCS.

https://t.co/NUrJ8AndTx
in fact, the PRRARS, as opposed to other mutated cleavage sites--even the "perfect" H5CS--confers the greatest infectivity in CaLu-3 cells.

https://t.co/TVXC4QOjt0
in fact, even P681R or S686G changes were less fit in CaLu-3 compared to PRRA virus--the P681R virus show either no difference or is slightly less effective compared to the P681 virus, and the S686G virus
https://t.co/DNtIR17r4S
https://t.co/nDNNw9OaWd
@franciscodeasis https://t.co/OuQaBRFPu7
Unfortunately the "This work includes the identification of viral sequences in bat samples, and has resulted in the isolation of three bat SARS-related coronaviruses that are now used as reagents to test therapeutics and vaccines." were BEFORE the


chimeric infectious clone grants were there.https://t.co/DAArwFkz6v is in 2017, Rs4231.
https://t.co/UgXygDjYbW is in 2016, RsSHC014 and RsWIV16.
https://t.co/krO69CsJ94 is in 2013, RsWIV1. notice that this is before the beginning of the project

starting in 2016. Also remember that they told about only 3 isolates/live viruses. RsSHC014 is a live infectious clone that is just as alive as those other "Isolates".

P.D. somehow is able to use funds that he have yet recieved yet, and send results and sequences from late 2019 back in time into 2015,2013 and 2016!

https://t.co/4wC7k1Lh54 Ref 3: Why ALL your pangolin samples were PCR negative? to avoid deep sequencing and accidentally reveal Paguma Larvata and Oryctolagus Cuniculus?
https://t.co/SvP0tfbDki


https://t.co/k9mmL9e5kn


https://t.co/7fR13yb3qJ


https://t.co/EXerlaiG9u


https://t.co/iNCdLY1Pzn

More from All

https://t.co/6cRR2B3jBE
Viruses and other pathogens are often studied as stand-alone entities, despite that, in nature, they mostly live in multispecies associations called biofilms—both externally and within the host.

https://t.co/FBfXhUrH5d


Microorganisms in biofilms are enclosed by an extracellular matrix that confers protection and improves survival. Previous studies have shown that viruses can secondarily colonize preexisting biofilms, and viral biofilms have also been described.


...we raise the perspective that CoVs can persistently infect bats due to their association with biofilm structures. This phenomenon potentially provides an optimal environment for nonpathogenic & well-adapted viruses to interact with the host, as well as for viral recombination.


Biofilms can also enhance virion viability in extracellular environments, such as on fomites and in aquatic sediments, allowing viral persistence and dissemination.

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