Dr. Angela Rasmussen ✓
@angie_rasmussen · Rent free in my enemies' heads · joined 19 Oct 2011
Virologist working at but not speaking for @USask. Co-EIC @Els_Vaccine. Jeopardy! loser. "Disreputable vaccine cheerleader." 🇺🇸in🇨🇦. Opinions mine. she/her
516 056Followers
8 479Following
36 050Posts total
1.2MViews on collected posts
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@angie_rasmussen I think TESCREAL is one of the stupidest rhetorical inventions ever created. Its similar to Jordan Peterson talking about post-modern neo-marxists, but somehow even less coherent and more disingenuous.
Its lumping together a bunch of different things Emile doesn
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@angie_rasmussen this concept of TESCREAL lumps together a lot of wildly disparate kinds of thinking and people, with the apparent hope of attributing the worst aspects of the worst of them onto all of them
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@angie_rasmussen I guess I have always inherently had a problem with the idea that all these people believe preserving Elon Musk and his knowledge/contributions to humanity across the universe is better than just gifting alien species with a Labrador after we fix the cancer that
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Do you know what TESCREAL is? You should. It refers to the apocalyptic beliefs held by many in the AI industry. AI will kill us inevitably, so we have to make it faster so humans can develop tech to upload ourselves to a posthuman utopian cloud server in a Dyson sphere orbiting
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Coxon is being described as a "whistleblower" who left Anthropic.
In the very same sense, I'm a "whistleblower" who defected from the TESCREAL movement that *gave rise to the whole ASI race in the first place*. And I'm here to tell you all the secrets:
https://t.co/2r8kY0O5sx
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@angie_rasmussen True -- no AI is needed to engineer pathogenic viruses. https://t.co/0dv3rJzmy5
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@angie_rasmussen Concur. I think there are other risks, including AI-Bio risks, but the strictly synthetic route doesn’t keep me up at night.
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@angie_rasmussen Yes, but we don't need one for this to be a significant threat!
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The fact is an autonomous cloud lab for cooking up novel AI-designed viruses at scale is wildly out of touch with the reality of virology bench work and the constraints of the real world
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This is literally not a fact and Joseph Ladapo should lose his license for the number of people he’s endangering
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The fact is that most people don’t give a fuck about benchmarks or chips or coding or AGI and don’t know or care what those things even are. They still hate your data centers
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Rubella is a terrible disease. It looks like measles, but in pregnant moms it causes spontaneous abortion and stillbirth. Babies born with congenital rubella syndrome have profound disabilities. Rubella elimination everywhere is a huge public health win.
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Dr. Joseph Ladapo says the hepatitis B vaccine's two approved versions were cleared by the FDA on less than a week of safety data. "That is literally a fact," he says.
Del recalls @FLSurgeonGen telling him years ago he hadn't yet looked deeply into childhood vaccines, focused ht
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1:47
@angie_rasmussen “It’s possible” ≠ “it’s likely”
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@angie_rasmussen That's an (un-peer-reviewed) theoretical study -- no natural SARS-like viruses with FCS have yet been found, as Linfa can tell you all about. https://t.co/BRJZ7JkhE9
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@angie_rasmussen I suspect the people you need to reach are all wearing factproof suits.
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@PaulBieniasz Interesting work, and the NSP15 mechanism is important. But I don’t think it materially weakens a research-related origin. A mechanism that generates insertions during viral replication should operate in animals, cell culture, organoids, or passage experiments alike
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Just leaving this for all the leakers who said the furin cleavage site could have never gotten into SARS-CoV-2 spike unless a “gain of function” virologist put it there.
Turns out nature is still the ultimate GOF virologist
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@angie_rasmussen @CellCellPress "We first demonstrate that the most recent common ancestor (MRCA) of SARS-CoV-2 sampled within the Huanan market is genetically identical to the MRCA inferred from the pandemic as a whole."
BOOM!
Thank you to all of you for your meticulous work!
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The fact is that the evidence is only consistent with zoonotic origin. That doesn't change because a thirsty professional keynote speaker who hasn't been relevant since the 90s misrepresents the evidence base & sows doubt in the scientific method to serve his own agenda.
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But I suspect that he and his fellow travellers will not rise to the challenge. The lab leak hypothesis has repeatedly failed testing. It is inconsistent with the evidence base and unscientific to suggest that you can substitute leading questions and speculation for actual data.
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We were concerned solely with the scientific evidence & didn't test the "people who disagree with us are lying & people who agree with us are telling the truth" hypothesis. Clippy is a prolific content producer, so I invite him to write up his own analysis & submit to Cell.
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One more thing: I've chosen to focus on the science, not hot takes, like Clippy here violating embargo to "debunk" our peer-reviewed paper because it doesn't support his favored conspiracy theory.
We tested hypotheses with evidence, without seeking to validate personal biases. h
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I also am deeply grateful to my co-authors for being inspiring, brilliant scientists. The Zoonati are generous collaborators, an invaluable support system, & dear friends after all we've been through. This has been so scientifically rewarding & I'm honored to contribute. TY, ZC!
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I gratefully acknowledge the scientists at the Chinese CDC, who generated these data, made them available, and published their own analysis last year. Our analyses and conclusions differ, but they agree that there were susceptible animals at the market.
https://t.co/0iivvuz87T
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This study is not a "smoking gun," but is strongly suggestive that one or more of the species at the market was infected with SARS-CoV-2, and was the source of the 2 spillovers that led to the virus establishing human to human transmission chains and beginning the pandemic.
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Again, we do not and cannot provide evidence of an infected animal. We do not claim that.
But these evidence support our prior findings in Worobey and Pekar 2022 and are likewise consistent with a zoonotic origin of the pandemic. They are not consistent with a lab origin.
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So in summary, we show:
The presence of live, susceptible animals at the market, including in stalls that were SARS-CoV-2 positive
Animal viruses at the market
Where some of these animals may be from
Human emergence is estimated at the same time as when the pandemic began
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Back to the analogy of a forensic investigation, DNA evidence places a short list of suspects (animals) at the scene of the crime (southwestern corner of Huanan Market) with the murder weapon (SARS2).
We can't definitively identify the murderer, but we know the murder occurred.
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In fact, it was! The estimates of when the market viruses emerged are indistinguishable from the estimates of when the pandemic began. This supports our prior finding in Pekar et al 2022 regarding the timing of the emergence of both lineage A and lineage B viruses at the market.
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Face aux comptes de taille comparable
18 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. touche moins de monde que ses pairs, mais les engage bien davantage.
Vues médianes2 065ce compte5 983médiane pour 100K–1M
Portée, %0.40%ce compte1.49%médiane pour 100K–1M
Engagement, %2.09%ce compte0.93%médiane pour 100K–1M
| Indicateur | Ce compte | Médiane pour 100K–1M | Rapport |
|---|---|---|---|
| Vues médianes par post | 2 065 | 5 983 | 0.35× |
| Portée (vues ÷ abonnés) | 0.40% | 1.49% | 0.27× |
| Taux d'engagement | 2.09% | 0.93% | 2.25× |
Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
69719 Aug
34.7K7 Sep
16.7K
14.2K
23.5K
13.2K14 Sep
78
57
48
36.3K15 Sep
30.9K16 Sep
292
629
138
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
2.30%19 Aug
3.35%7 Sep
5.77%
0.82%
2.75%
1.15%14 Sep
1.28%
0.00%
2.08%
0.71%15 Sep
2.10%16 Sep
3.08%
1.75%
5.80%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes73.2%5 096 in total
Reposts15.3%1 067 in total
Replies2.7%191 in total
Quotes1.0%68 in total
Bookmarks7.7%537 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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