The Zhongnan hospital of Wuhan University is right next to the university ABSL-3 and is close to the mysterious young early patient WH3 (21y old female, ebi.ac.uk/biosamples/sam…)
WH3 is also linked to the PLA hospital of central military command - with genomic file created on December 10 [yes, 10], 2019 as explained by Dr Quay zenodo.org/record/4119263…. @quay_dr
The Wuhan University ABSL-3 was previously a receiver, via EcoHealth Alliance, of NIH R01Al110964 grant money for the purpose of animal testing.
Interesting mention of the parking lot next to the hospital being used as a mortuary (at 6'35'').
The video is fully in line with what we I have been discussing about people just dying in their homes.
Not tested, not counted.
The estimate of actual numbers (based on the person's discussion with colleagues) is around x14 x18 of official numbers.
It is also in line with this other video, where the journalist impersonated a Wuhan official when calling a city crematorium employee and got her to talk, with an estimated 6% of reported Covid deaths:
The Li Wenliang death details are heart-breaking. Please watch that part at around 36'36''
Not too sure about the conspiracy theory about intended infection - but at least the person says that it is speculative.
The mention of the rather naive last conclusion of the US intel report is spot on (34'58'').
Daszak did 4 months of detention in 1986 for stealing a TV set, a hi-fi, a statue and some other items, so that he could indulge in his alcohol fuelled ‘fun’ at other people’s expense.
This fraud later managed to get hold of 100s millions of US taxpayers money.
I may be losing track, but it is at least his third retraction.
There is also on expression of concern for one of his papers.
@thackerpd @KatherineEban @emilyakopp
Here is an important reminder to the Kindergarten epidemiologists who aim to compare themselves to John Snow.
Epidemiology 101:
John Snow never considered his map as proving anything. He relied on fortuitous control groups and cases reviews to establish causality
@mvankerkhove
See for instance this image and extract from a recent paper:
Confirmation of the centrality of the Huanan market among early COVID-19 cases
Reply to Stoyan and Chiu (2024) arxiv.org/pdf/2403.05859…
John Snow was not a colourist of maps, sorry.
I know that popular culture has transformed the Broad Street map into a meme, but that is totally wrong and can only hurt the discipline.
@RichardKock6 @JamieMetzl
1/5 It is difficult to be more mistaken than Robert Garry below, when discussing a supposed essential finding of Worobey et al:
@TheJohnSudworth @MichaelWorobey @hfeldwisch
2/5 As a matter of fact, that pattern is exactly the one expected if proximity to the market was used as a criteria when identifying cases (as is amply recorded).
Going further, there is no easy way to explain that pattern otherwise.
Polling must have been done before Oct 2023, so before:
- Key Science erratum for Pekar et al (invalidated their model)
- Peer reviewed paper showing key statistical flaw in Worobey et al
- DEFUSE draft showing planned work at P2 in China and more
3/26 Then we need cumulative numbers to express the results in a natural way:
- For 19% of experts, a research accident is at least 50% likely
- For 44.6% of experts, a research accident is at least 20% likely
- For 61.3% of experts, a research accident is at least 10% likely