The questions asked are not the same, the methodologies are different, so one has to be somewhat careful when comparing the numbers.
Still there seems to be a trend.
Also the 76% asking for reparations is not helpful.
That is a non-starter.

Better learn from our collective mistakes and plug the biosafety and research gaps to make us all safer.

Plenty to do there starting with better oversight of laboratories, at home and abroad.

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More from @gdemaneuf

2 Dec
Read these emails. It’s amazing.

So much for the paper-thin fake consensus published in Lancet and Nature at about the same time.

When we raised exactly the same questions we were called conspiracy theorists.
Time to come clean.
Le Duc:
“If there are weaknesses in your program, now is the time to admit them and get them corrected. I trust that you will take my suggestions in the spirit of one friend trying to help another during a very difficult time.”
That looks exactly like the questions that DRASTIC and the Paris Group have been asking for ages.

Except that we are rabid conspiracy theorists, right? Image
Read 9 tweets
28 Nov
Good piece by Columbia Prof. Neil L. Harrison.

medium.com/@leftback45/pe…
"Seasoned skeptics wondered how someone with no formal training in virology, and no actual laboratory (EcoHealth has offices, but no labs at its New York City HQ) was swinging such a large bag of research funding."
"There is also a strange and slightly sinister climate of intimidation that hangs around Daszak.
..
Daszak has repeatedly engaged in a PR campaign marked by disinformation, intimidation and distraction.
Read 8 tweets
24 Nov
Goo summary by ⁦@danengber⁩, with one little issue.

The Lab-Leak Theory Meets Its Perfect Match - The Atlantic theatlantic.com/ideas/archive/…
The odds are not driven by a distance argument but by a location exclusivity argument.

In a well connected world, it is not difficult for a virus to find its way to a perfect place for a superspreader event, be it a Wuhan market or Wuhan itself.
The odds are driven by the location of the initial breakout out of all places, with regards to the putative causative agent.

For wildlife trade zoonosis a market makes perfect sense, but there are 100+ cities in China with wet markets, transport hubs and 1mln+ people.
Read 7 tweets
23 Nov
Anybody who has been following DRASTIC on this will know that we always highlighted the fact that the database had a private section.

For some reason @stuartjdneil discovers this close to a year later and gets a big twist in his knickers.
Our first work on the database was the analysis we published in Feb 21 (with more than 37,000 reads now).

It's there as the 3rd finding:
researchgate.net/publication/34…
We also explained carefully what that meant:
Read 8 tweets
23 Nov
I really like that quote from EcoHealth Alliance:

“Any samples or results from Laos are based on WIV’s work, funded through other mechanisms,” says a [EchoHealth Alliance] spokesman.‘

newsweek.com/how-dr-fauci-o…
Because - guess what - that's exactly what Alexei and Daszak were telling the NIH would happen:

"Samples will be collected by either our current China field team personnel working directly with our collaborators in these countries or by respective in-country personnel" Image
And they will be no extra expense under the grant, since it will be done by collaborating partners and existing co-investigators:

"All efforts expended in the countries will be from collaborating partners and not funded under our award". Image
Read 7 tweets
22 Nov
Going back to the existence of Nov cases that have since then been 'cancelled' by China, please remember the US intel Nov 19 warning.
researchgate.net/publication/35…
Also remember the nine Nov confirmed cases from the SCMP (based on official Chinese sources).

My Silent Numbers give you all the sources (inc. the SCMP without firewall).
I also graphed the SCMP numbers (SCMP tab at top)

bit.ly/2OyytJ4

@jbloom_lab @MichaelWorobey
One of the best papers I read about dating the index case is actually co-authored by Worobey himself.

That's Pekar et al with its mid-Oct to mid-Nov estimate - which we referred to extensively in our 'October Surprise'.
Pekar et al: science.org/doi/10.1126/sc…
Read 10 tweets

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