Why do I find the lab leak conversation suppression interesting?
Where else can we see our sensemaking fail in real-time, this clearly?
- Govenment
- Academia
- Medicine
- Journalism
- International orgs
- Factcheckers
- Tech Companies
- Wikipedia
All getting it wrong at once.
Wikipedia should never have classified the lab leak hypothesis as "misinformation", but even now it's still "debating" whether to correct: cnet.com/features/wikip…
Here's how fact checkers, Facebook, and YouTube have handled it. Facebook in particular had to pull an about-face after deleting over *one million* posts.
What about academia? Look no further than top academic journal The Lancet and its shambolic entry into the fold. It's now had to retroactively declare a conflict for the organizer of the letter, and that's not even 1% of the correction needed:
How about Government? President Biden has now asked the intelligence agencies to investigate a lab leak, but about a year ago, they had already declared quite strongly against any sort of engineered scenario --
How about journalism? Corrections like this are so cringe. Vox didn't just get it wrong. They called it a "conspiracy theory" and a "distraction". Scientific consensus is not enough of an excuse for being this heavy handed.
However many journalists did not need to be convinced. At the moment Fauci declared the lab leak a "conspiracy theory" they fell in line in miliseconds. It's almost like their job isn't to doubt the authorities but to amplify their message and do their enforcement for them.
As for international organizations, look no further than the public comments by the Director-General of the World Health Organization. "we’re not just battling the virus; we’re also battling the trolls and conspiracy theorists that push misinformation". who.int/director-gener…
If it's not clear that the WHO Director-General's statements were used to suppress the lab leak hypothesis, here's how the Lancet letter cited it: "We support the call from the Director-General of WHO to promote scientific evidence and unity over misinformation and conjecture."
How about medicine? The American Medical Association just voted to encourage social-media platforms to “crack down on medical misinformation,” including by “altering underlying network dynamics or redesigning platform algorithms.” archive.is/sjJLn
That's right. They're actually saying that *not enough* was done, and that more should be done in the future to keep the anti-establishment voices down. To say they've not learned their lesson is an understatement -- they've actually learned the opposite.
We will need a thorough post-mortem to understand how all our failsafes failed at the same time. I've done a fair amount of digging into the events that led to this remarkable homophony, but this is just one layer.
As @iseravi1 has said, we need an ironclad norm that no "scientific consensus" can *ever* be reached within weeks. If anyone claims that scientists have completed their process in 20 days, they're lying. No fact checker should ever credit such a claim ever again.
Ok folks, it's official -- we're entering a third attempt to seize the narrative from the side of the zoonoticists. They don't seem to be bringing anything new to the table, but they're trying.
The new Lancet letter by Daszak and Co can only be read as an apology.
The title "We apologize: Science, not speculation, is essential to determine how SARS-CoV-2 reached humans" was probably too long and had to be shortened, but the intent is clear. thelancet.com/journals/lance…
Sadly, it starts with two lies. "On Feb 19, 2020, we, a group of physicians, veterinarians, epidemiologists, virologists, biologists, ecologists, and public health experts from around the world, joined together to express solidarity with our professional colleagues in China."
First, the group that "joined together"in Feb contained three more people: Peter Palese, Bernard Roizman, William Karesh. Their abesnce is not addressed, but given the outspoken retractions issued by the first two, we might have some suspicions. nytimes.com/2021/06/25/opi…
This is a🧵of🧵s organizing the early datapoints we have on the origins of SARS-CoV-2. After starting a thread for open-ended datapoint gathering I realized there is too much to follow up in one place, so I'll be starting individual 🧵s and collecting them all as replies to this.
The intent of this thread is to gather different types of datapoints, and eventually attempt to stitch the different types together into a coherent story we can have more confidence in.
If you're curious about the original thread, it can be found here:
A🧵on studies attempting to infer the date of origin of the virus
<epistemic status: gathering datapoints, not drawing conclusions>
Scientists from UK and Germany attempted to genetically map the earliest strands of SARS-CoV-2 in order to create a picture of the virus' evolution. Estimates first infection between mid-Sep and early December. cam.ac.uk/research/news/…
This analysis from Harvard Medical School uses satellite imagery and Baidu search logs to infer the time of first infections at around mid-August or September 2019 dash.harvard.edu/handle/1/42669…