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
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35 931Posts total
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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
23.5K views · 527 likes
· 92 reposts · 24 replies
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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
14.2K views · 102 likes
· 9 reposts · 5 replies
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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.
16.7K views · 782 likes
· 170 reposts · 7 replies
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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
34.7K views · 811 likes
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1:47
@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!
2.7K views · 30 likes
· 3 reposts · 0 replies
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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.
9.3K views · 182 likes
· 16 reposts · 3 replies
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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.
9.3K views · 128 likes
· 10 reposts · 2 replies
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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.
5K views · 105 likes
· 9 reposts · 1 replies
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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
5.8K views · 111 likes
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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!
6.8K views · 112 likes
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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
6.7K views · 117 likes
· 9 reposts · 1 replies
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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.
5.6K views · 120 likes
· 14 reposts · 1 replies
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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.
6.3K views · 119 likes
· 16 reposts · 1 replies
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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.
6K views · 113 likes
· 9 reposts · 1 replies
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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
10.4K views · 136 likes
· 24 reposts · 2 replies
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Finally, speaking of virus, we also analyzed the virus sequences obtained from these environmental samples to see if it was evolutionarily consistent with our previous estimates of the timing of spillover and sequences associated with early cases. https://t.co/p82XHXPMjk
6.4K views · 94 likes
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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.
5.8K views · 111 likes
· 12 reposts · 2 replies
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Again, we can't tell which animals were infected with these viruses either, but since they are animal viruses, they were probably infecting animals, not people.
And gee, I wonder what host was infected with raccoon dog amdovirus in a stall that's covered with raccoon dog DNA?
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· 8 reposts · 2 replies
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This suggests that the raccoon dogs at the Huanan market were from central or southern China, but the geographic reference data is incomplete. We need more data to ascertain this with confidence, as well as more reference data from other susceptible species.
6.2K views · 94 likes
· 6 reposts · 1 replies
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We also looked at other viruses in the market. If these animals were infected with SARS2, they might have other infections as well.
And guess what, we found other viruses! These are animal viruses that likely can't infect humans, so animals with viral infections were present.
6.3K views · 107 likes
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Geographic references were available for raccoon dogs and this revealed that the raccoon dogs at the market were likely not from fur farms in northern China or Russia. Instead, they were more similar to wild RDs found in Hubei province. https://t.co/IFsaVHluej
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We also wondered where these animals came from and investigated that by analyzing their DNA as well for SNVs (individual mutations) that are linked to geographic locations. This is similar to what 23 and Me does to say you are 10% from wherever. https://t.co/MiqxuG7PwN
7.1K views · 106 likes
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Raccoon dogs, red foxes, and mink are all known to be susceptible to SARS-CoV-2 and capable of transmitting it.
Masked palm civets were an intermediate host for SARS1 and are susceptible in vitro based on ACE2 binding.
The other wildlife species' susceptibility are unknown.
7.5K views · 118 likes
· 12 reposts · 1 replies
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As I said before, we can't tell if these animals were infected based on these environmental data. We'd need to test the animals directly for that.
But we can narrow down the list of suspects based on susceptibility. Not all of these animals can be infected with SARS-CoV-2.
7.5K views · 110 likes
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And here are the sequence reads broken down by stall within the market. Each stall had DNA from different animals, including humans. But some stalls had very little human DNA, suggesting that any virus at that stall might have been from an animal. https://t.co/Dxisg44Zdj
7.9K views · 117 likes
· 12 reposts · 1 replies
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First, yes, we identified animal DNA in SARS-CoV-2 positive samples.
If you're into true crime/forensics, you know that often DNA left at the scene of the crime can give clues about the perpetrator's identity.
Here is the list of suspects based on this evidence: https://t.co/wN
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· 17 reposts · 1 replies
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But of course questions remained. Since 2022, when the initial preprint came out and suggested that genetic data from potential host species at the market existed, we were very eager to get a look at these data.
You can tell a lot about a virus by looking at its hosts.
9.4K views · 122 likes
· 11 reposts · 1 replies
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We wanted to know if genetic material from the hosts could confirm that animals really were in the market, and if they were present in samples that were positive for SARS-CoV-2.
When these data were finally shared last year, we set out to investigate this. Here's what we found:
10.1K views · 129 likes
· 16 reposts · 1 replies
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If you don't want to read the papers:
-Early cases centered around the market (not a lab)
-Environmental swabs that tested positive for SARS-CoV-2 clustered in the corner of the market where animals were sold
-There were 2 lineages of SARS2 that spilled over separately at Huanan
11.1K views · 181 likes
· 36 reposts · 2 replies
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A companion paper by my colleagues showed that the pandemic resulted from two separate, independent spillovers.
(And despite what you may have heard, this paper was corrected but the conclusions are unchanged. This finding is not "debunked.")
https://t.co/paZhBSrCfs
16.8K views · 155 likes
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Face aux comptes de taille comparable
4 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. diffusé bien au-delà de son propre public, et ce public réagit.
Vues médianes20 080ce compte4 398médiane pour 100K–1M
Portée, %3.89%ce compte1.71%médiane pour 100K–1M
Engagement, %3.05%ce compte1.35%médiane pour 100K–1M
| Indicateur | Ce compte | Médiane pour 100K–1M | Rapport |
|---|---|---|---|
| Vues médianes par post | 20 080 | 4 398 | 4.57× |
| Portée (vues ÷ abonnés) | 3.89% | 1.71% | 2.28× |
| Taux d'engagement | 3.05% | 1.35% | 2.27× |
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
6K19 Sep
6.3K
5.6K
6.7K
6.8K
5.8K
5K
9.3K
9.3K
2.7K20 Sep
34.7K7 Sep
16.7K
14.2K
23.5K
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
2.06%19 Sep
2.19%
2.43%
1.90%
1.81%
2.16%
2.28%
1.51%
2.17%
1.21%20 Sep
3.35%7 Sep
5.77%
0.82%
2.75%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.35%.
What the audience does
Likes81.3%5 280 in total
Reposts13.8%899 in total
Replies1.6%101 in total
Quotes0.6%39 in total
Bookmarks2.8%179 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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