Let's get a few things clear about this declassified ODNI assessment (ODNI: Office of the Director of National Intelligence) : washingtonpost.com/national-secur…
First as is written on page 2:
"This assessment is based on information through August 2021."
In other words it does NOT include any information that has come up since the summary assessment of 26th Aug 21. dni.gov/index.php/news…
In particular it does not include the DEFUSE revelations (especially about the FCS).
Or the latest revelations that show that GoF on BatCoVs was indeed happening within the WIV.
It is based on data frozen in time - nothing new since the summary report: dni.gov/index.php/news…
In a way it is rather misleading to publish such a declassified assessment without including the latest information available.
What I would instead expect is an updated assessment.
There is at least one factual error, which is a bit surprising:
RaTG13 is not RaTG16 - in other words it was collected in 2013 not 2016.
(h/t @TheEngineer2)
There is also a rather surprising logical error - which has no place in an intel report (@dasher8090).
The reports uses naive probabilities instead of properly conditioned ones:
- 99% or so of hunters/farmers/merchants infections will NOT result in a first breakout in Wuhan
Wuhan is just one of 100+ cities in China with more than 1mln inhabitants, wet markets and transport links.
- but close to 100% of Wuhan laboratory workers infections during a field sampling trip WILL result in a first breakout in Wuhan.
Hence if you observe a first breakout in Wuhan, the relative probability of it being the result of a field sampling infection is orders of magnitude more than if you observed a first breakout in an average village or city from which nobody goes sampling BatCoVs for a lab.
The error is repeated in the next paragraph, which again ignores that the first breakout was very clearly in Wuhan.
Additionally the logic there ignores the equivalent chance of asymptomatic field sampler or lab worker.
It's rather sloppy intel work, or a badly worded doc.
All the more surprising that the asymptomatic researcher point is correctly made later in the report:
Last, one of the statements may unfortunately lead to people mixing up a distance argument with the location argument.
The point below is only about complicating the search for a zoonotic spillover. It does not affect at all the validity of the Wuhan location argument.
The Wuhan location argument is not a distance argument. It is a location of first breakout argument - basically an exclusivity argument.
One intel agency got it right and correctly concluded that a research-related accident was more probable than a zoonosis:
Not only that but they also noted the key point that:
"WIV researchers who conducted sampling activity throughout China provided a node for the virus to enter the city."
This is exactly what I highlighted many times before.
A bit of logic and analysis work is all you need - but I am surprised to see that many of the intel agencies did not pick it up.
As China was started to steam ahead on its own in 2017-18, be it sampling, GoF or various synthetic biology experiments, EHA was starting to be left behind.
EHA tried to stay on the train with the GVP and DEFUSE. That failed, as the risk-reward equations looked bad.
But within the NIH grants framework, Daszak was able to obfuscate his difficulties just enough, while the NIH was clueless enough to keep the game going into new territories.
Then as the degrading picture became more clear, some on the Track II Biodefense side thought that this was basically the only chance left to keep a seat on that train.
So, just at the time when it was losing control, the NIH looked the other way.
The result is a screw-up that was predictable from day one (back in 2002/3).
Now the NIH finds itself with grant and policy breaches, with Fauci demonstrably trying to prevent an investigation.
But the fact is that this was a Track II Biodefense game, played within the NIH, with imperatives of its own.
It’s like trying to fit a square plug in a round hole.
1/8 The story of one of the worst policy failures in US history in a nutshell, as an introduction to my latest work on the USAID and EHA grants in South East Asia:
Left Behind:
@emilyakopp @natashaloder @zeynep @KatherineEban
How come that Daszak's R01 AI110964 lists San Pya clinic (Myanmar) and Institut Pasteur (Cambodia) as in-country partners, when in fact these confirmed that they were NEVER contacted by EHA and have no idea why they are showing up on the grant?
2/11 Not only that, but the April 2020 update by EHA positively states that San Pya Clinic and Institut Pasteur Cambodia performed their assigned tasks and sent their samples to the WIV.
@emilyakopp @KatherineEban
3/11 I am not sure how you call this, but mis-reporting and likely fraud come to mind..
Not exactly a typo:
These entities were listed over and over in the grant documents, and are even attested as having done their work by EHA, but were never contacted by EHA!
@R_H_Ebright
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