We have analyzed and reviewed much of the open-source material in current drafts of the report. We understand that an executive summary of the report will soon be made public. As both the report and our upcoming article will reference your co-authored research articles, “The Huanan Seafood Wholesale Market in Wuhan was the early epicenter of the COVID-19 pandemic,” and “The molecular epidemiology of multiple zoonotic origins of SARS-CoV-2,” we wanted to give you an opportunity to comment, to point out any inaccuracies or to provide further context that we should be aware of.
We plan to use the following descriptions in the story. Please let us know if you see any inaccuracies.
We will be saying that on February 26, 2022, a team of 18 scientists led by Michael Worobey, an evolutionary biologist at the University of Arizona, published two preprints identifying the Huanan market as the “unambiguous epicenter of the COVID-19 pandemic.”
Not right. Only the Worobey et al. preprint made geographical conclusions, and it was led both by me and by Kristian Andersen. That passage in quotes is indeed language from that preprint, yes. Importantly, though, since your questions below, combined with this statement, seem to imply otherwise, we were no less definitive in the peer-reviewed article in Science, whose very title notes that the Huanan market was the early epicenter of the pandemic, and whose Abstract states, unambiguously, that “our analyses show that the Huanan market was the epicenter of the COVID-19 pandemic”.
If the Senator’s commission’s report states or implies that the preprint and the Abstract differed in substance on this, then its authors and/or advisors are mistaken or they are being misleading or dishonest.
Now that this has been drawn to your attention, I hope you won’t imply in your article that the preprint differs from the published article on this crucial point since that would misinform your readers and perpetuate misinformation or disinformation that may be present in the report. (I should emphasize that I am responding to all of your questions knowing nothing of the reliability of the source from whom you say you received what you say are drafts of the report.)
We will be saying that as part of your research, you used mapping software, analyzed the locations of 155 early cases reported by the Chinese authorities to the World Health Organization, and found them to be centered around the market.
Not quite right or complete. We found the home locations of 155 of the earliest known cases to be centered on (not “around”) the market to an extent that could not be explained by chance. But we also found them to lie much closer to the market than could be expected by chance, a separate and equally important analysis.
But even more importantly, we found the distance to, and centering on, the Huanan market of cases with no known epidemiological link to the Huanan market, to be particularly strong.
We also say that a companion analysis led by Jonathan Pekar, a bioinformatics graduate student at the University of California San Diego, argued that viruses inside two different animals, one infected by lineage A and one infected by lineage B, spilled over inside the market, leading to an outbreak that sparked the pandemic.
Not quite right. The analyses in our other paper (led by Jonathan Pekar and Joel Wertheim, as well as by Marc Suchard, Kristian Andersen and me) were blind to geography. It is the combination of (1) the geographical, within-market, and other analyses in Worobey et al. and (2) the genomic and epidemiological analyses in Pekar et al., which indicated a roughly 99.5% probability that there had been at least two separate introductions from a progenitor virus population that lead to overall conclusions about two jumps at the market. The Pekar et al. Bayes factor behind this claim did not hold up. It went through three stages: No public correction to this second error has been issued as of this annotation.not aged well
Worobey et al. on its own shows that the Huanan market was the epicenter of the pandemic and that both lineage B (already known) but also lineage A are geographically associated with it.
Pekar et al. states:
“The presence of potential animal reservoirs, coupled with the timing of the lineage B primary case and the geographic clustering of early cases around the Huanan market (39), support the hypothesis that SARS-CoV-2 lineage B jumped into humans at the Huanan market in mid-November 2019.”
In a related study (39), we show that the two earliest lineage A cases are more closely positioned geographically to the Huanan market than expected compared with other COVID-19 cases in Wuhan in early 2020, despite having no known association with the market. This geographic proximity is consistent with a separate and subsequent origin of lineage A at the Huanan market in late November 2019. The presence of lineage A virus at the Huanan market was confirmed by Gao et al. (43) from a sample taken from discarded gloves.
Our questions and request for responses include:
The report commissioned by Senator Burr states that the inability to find any animal infected with a SARS-CoV-2 variant or closely related virus that lacks mutations found in human SARS-CoV-2 viral isolates is a “significant evidentiary gap in the natural zoonotic hypothesis.” We would welcome your response to that.
It is of course an evidentiary gap, but, in light of the findings in our recent pair of Science papers, plus many other papers that have been published since the pandemic began, it is not significant. Our two recent papers establish that a natural zoonotic origin is the only plausible scenario for the origin of the pandemic. The Senator’s commission’s report cannot change the scientific evidence.
Moreover, this issue is discussed at length in Worobey et al.:
“Notably, none of the live (known to be susceptible) mammals from species we identify here as present at the Huanan market in November 2019 have been reported to have been tested for evidence of SARS-CoV-2 infection. The only live mammals ‘from’ the market among the 188 appear to have been animals such as stray cats, dogs, snakes, rabbits, and mice. Indeed, of the 188 animals tested, 167 were those species or hedgehogs, pigs, chickens, salamanders, crocodiles, turtles, fish or sheep (7). Only 21 individuals from traded mammalian species likely susceptible to SARS-CoV-2 infection were tested – but these were dead, of unknown procurement date, and refrigerated or frozen, and therefore unlikely to be a source of human infection: six “bamboo rat”, six “muntjac”, six “badger”, two “wild boar” and one “weasel” (7). Some of the wild mammals were screened (negative) for active SARS-CoV-2 infection by qRT-PCR, but a very low number have sampled from Hubei province (57).”
“In addition, bamboo rats, porcupines, and wild boar from farms in Hubei supplying the Huanan market, sampled during February and March 2020, also showed no sign of active infection (7). Unfortunately, to our knowledge, no serological testing was conducted on animals from within the market or from farms supplying it, nor on farm workers or animal traders in those supply chains. Indeed, both the Huanan market and the farms in Hubei province that supply it (48) were rapidly shut down before such sampling occurred. Hence, it is apparent that by the time the Huanan market was closed, and animal sampling at the market began, the SARS-CoV-2-susceptible live mammals that had been on sale there in the preceding months (Tables 1 and S5) were no longer present (7).”
“While >80,000 animal samples were tested and no evidence was found for presence of, or exposure to, SARS-CoV-2 (7), this is far from conclusive evidence for most animals. The negative predictive value of the surveys depends on the assumed prevalence. For serology, for instance, if one assumes a reservoir host in which the virus is endemic, seroprevalence likely is high, but will depend on the age of the animals and infection dynamics in that particular species. In addition, China is a vast country, and the possible sources of animals could be over a long distance. Therefore, the catchment area for surveillance studies is huge (58). Therefore, tracking back along the market supply chain is crucial for a more targeted effort, as recommended in the WHO mission report (7). In addition, it is possible that a one-off spillover event occurred on a farm that supplied the market. Such events would be needles in a haystack that are virtually unresolvable.”
The report acknowledges that the lack of candor from China has left researchers including you and your co-authors in the difficult position of trying to figure out which data can be relied on. We would welcome your response to that.
I asked for the report so that I could verify assertions about its content like this. You declined. I will wait with curiosity to see if it says precisely this. It is important, for example, for me to answer your question above, to know if the report actually says that it “acknowledges” that I and my co-authors are in a difficult position of trying to figure out which data to rely on.
If it does say that, it is spectacularly wrong. First, “the report” (which really means its advisors and writers) is in no position to “acknowledge” whether we feel that we were or are in a difficult position without asking us! As it happens, I can speak for myself here. With respect to the two papers that seem to be a focus of the report and your reporting, I was not put in a difficult position of trying to figure out which data to rely on due to lack of candor from China. Indeed, this is standard lab leak narrative that I have called out as dangerous nonsense in the past (“Chinese scientists and authorities are liars. We can’t trust the data and especially those natural spillover conclusions.”)
The fact is, the data used in both these studies are extremely reliable. A large sample of genomic data captures early events in the evolutionary history of an outbreak. Scientists have never had genomic data from every early case from a pandemic. It’s always a subsample, and the methods used are tailored to deal with that. And the genomic data required nothing less and nothing more than the quality control we and hundreds of other researchers do for any similar viral genomic epidemiology analysis.
And regarding the geographic and environmental sampling data in the Worobey et al. paper: the notion that Chinese authorities, who indeed are now pushing ridiculous claims that the pandemic originated outside of China when our results show that the pandemic’s epicenter was the Huanan market, would have cooked the books so that two and half years after collecting the data we would discover patterns like this?: The spatial statistics underlying this claim were later challenged in a formal peer-reviewed discussion by Dietrich Stoyan (TU Bergakademie Freiberg, Germany) and Sung Nok Chiu (Hong Kong Baptist University), Journal of the Royal Statistical Society Series A 187(3):710 (2024). Their critique had two separate strands: Florence Débarre and Worobey posted a reply on arXiv (2403.05859, March 2024). No further published rebuttal, letter, or comment from Stoyan and Chiu has surfaced as of this annotation. In their own words, summarising their JRSS-A findings: "Contrary to their flawed methods based on unsound beliefs, our geostatistical analysis, based solely on the locations of the same 155 cases, reveals that the spatial centre of these cases is significantly far from the Seafood Market, leading to the conclusion that the question of the pandemic's origin remains unanswered" (Hong Kong Baptist University research summary). Read against Stoyan and Chiu's own numbers (their Table 1), the picture is more precise than either side's summary suggests. Testing whether the Market can be accepted as the "centre" of the 155 cases, at N=155 they report Monte Carlo p-values of 0.030 for the centroid and 0.008 for the centre-point — both significant rejections at the 0.05 level. But for the mode, their own p-value was already only 0.070 at N=155 (and higher still at smaller N) — not significant even in their own hands. In other words, Stoyan and Chiu's strongest rejection of the Market came from the centroid and centre-point, not the mode. The Débarre/Worobey reply focuses specifically on the mode — the one statistic Stoyan and Chiu's own table had already flagged as marginal — and, using a different smoothing bandwidth than Stoyan and Chiu's 3 km, reports the mode falling at the market's parking-lot entrance with a much larger p-value (0.89). That is a real result, but it is a dispute over bandwidth selection on the single weakest data point in Stoyan and Chiu's own analysis; it does not address the centroid and centre-point findings that drove their "significantly far" conclusion, nor the more fundamental objection that the underlying Monte Carlo test does not test what it is presented as testing, nor that even a well-estimated mode cannot separate "market as origin" from "market as amplifier." Nor does correcting the density estimate rescue the underlying case-location data from the ascertainment-bias problem raised elsewhere in this letter (see below) — if detection itself was biased toward market-proximate cases, a sharper spatial estimate is just a more precise measurement of a biased sample. Stoyan and Chiu's own paper independently flags this same concern, listing incomplete data as one of "four major problems" with the dataset and citing the author of this dossier's own earlier, separate analysis (G. Demaneuf, "Arrested development: The number of Wuhan cases of COVID-19 with onset in 2019," 2022, doi:10.13140/RG.2.2.36081.97129) reporting 257 cases with December 2019 onset, against the far smaller numbers officially released. Separately, in his own presentation to WHO's SAGO (bit.ly/SAGOPres), the author of this dossier documented over 60 unique laboratory-confirmed COVID-19 cases with onset dates in 2019 — identifiable via distinct patient national ID numbers in China's own NNDRS system — that do not appear in the officially released case set analysed by Worobey et al. Any centroid, mode, or density estimate computed on a dataset from which dozens of confirmed cases have already gone missing is, at best, an estimate of where the released subset of cases clustered — not necessarily of where the outbreak began.disputed
Which shows that the area with the highest probability of drawing a home address of one of the earliest COVID-19 cases in the world was a tiny area right around the Huanan market? It’s just silly. One needs only to think through how unfavourable to what Chinese authorities might wish the data looked like to see that the reliability of the data, and the integrity of the Chinese scientists who generated them, shine through like a beacon.
That is not to say that China is open about everything to do with COVID-19, not by a longshot. But it is a particular sort of nonsensical to imagine that China would frame itself for allowing a hugely embarrassing repeat of the market-based emergence of the original SARS to cause the biggest pandemic in a century.
A number of scientists have expressed the view to us that your dataset of cases may be incomplete, and possibly skewed, as the Chinese authorities required a link to the market for screening early cases. We would welcome your comment on whether you believe your dataset is complete, and whether the dataset you have, with cases that are linked to the market, could be the result of ascertainment bias.
We are aware of many of these comments, which are a cottage industry on Twitter. These comments are either intentionally misleading or are the result of honest misunderstandings, perhaps due to a failure to read our papers, which address these issues in great detail.
Let’s take the notion that “your dataset of cases may be incomplete”. Of course it is incomplete. No data set of early cases of a pandemic disease has ever been complete. And this particular pathogen only lands a small fraction of infectees in the hospital. Again, that has been discussed in my work extensively. But that doesn’t affect the analyses or conclusions.
Now regarding the ascertainment bias issue: if you have read our paper, you will have noticed that the really interesting part of the results involves not cases epidemiologically linked to the market, which could indeed have been affected to some degree by ascertainment bias, but cases who were interviewed and said they had no link. Didn’t work there, didn’t shop there, didn’t knowingly have contact with anyone who had. They have an even strong geographical association with the market than cases who worked there. (And we explain why this is, if you’d like to understand it, in the paper.) So this notion that our results were compromised by ascertainment bias is a complete canard. This dismissal did not settle the question — and the rebuttal attempt against the strongest version of the critique did not hold up. In "Proximity Ascertainment Bias in Early Covid Case Locations" (J. Roy. Stat. Soc. A, 2024), physicist Michael Weissman showed the pattern cited here — market-unlinked cases living, on average, closer to the market than market-linked cases — is the textbook signature of Berkson's paradox (collider bias, citing Hernán, Hernández-Díaz & Robins 2004): an artefact of who gets tested and classified as a case, not a signal about where the outbreak began. Worobey and Florence Débarre posted a reply (arXiv:2405.08040) arguing the original p-value understated the effect of transmission-chain overdispersion. In a subsequent addendum, Weissman: Independent corroboration comes from an unlikely source: Jeremy Farrar's own book Spike (2021, p.12) describes the market-linked case definition as producing "an Escher's loop of misguided circular reasoning: testing only those people with a link to the market created the illusion that the market was the source of the disease."rebuttal didn't hold
“Several observations suggest that the geographic association of early COVID-19 cases with the Huanan market is unlikely to have been the result of ascertainment bias (see the supplementary text and tables S2 and S3) (39). These include (i) few, if any, cases among Huanan market–unlinked individuals are likely to have been detected by active searching in the neighborhoods around the market, only in hospitals, because all of the cases analyzed here were hospitalized (7); (ii) public health officials simultaneously became aware of Huanan-linked cases both near and far from the Huanan market, not just the ones near it (fig. S11) (5); (iii) Huanan market–unlinked cases would not be expected to live significantly closer to the market than linked cases if they had been ascertained as contacts traced from those market-linked cases; and (iv) seroprevalence in Wuhan was highest in the districts around the market (40, 41). It is also noteworthy that the December 2019 COVID-19 cases that we consider here were identified based on reviews of clinical signs and symptoms, not epidemiological factors such as where they resided or links to the Huanan market (7), and that excess deaths from pneumonia rose first in the districts surrounding the market (42). Moreover, the spatial relationship with the Huanan market remains after removing the two-thirds of the unlinked cases residing nearest the market.”
With further details in the supplement.
This February, a team of researchers from China’s CDC published a preprint that found no animals tested were found to contain any evidence of SARS-CoV-2, and no vendors from animal stalls tested positive for COVID-19. The report notes, “This is the opposite of what would be expected if the market or its warehouses were the location of the spillover.” We would welcome your response to that characterization.
First, this is not exactly breaking news. The same animal data were reported in the joint WHO-China study report on the origin of the COVID-19 “China Part”, cited in and discussed at length in the Worobey et al. paper in Science. Moreover, we discuss in great detail that no relevant live animals from the market were tested.
The report notes that the dominance of lineage B at the market poses a challenge to the notion that it was the place where the virus first leapt from animals to humans. We would welcome your response to that characterization.
As my colleague Jonathan Pekar notes “The dominance of lineage B simply suggests that lineage B was introduced into humans before lineage A. If the animals in the Huanan market were infected with SARS-CoV-2 or its progenitor, there was likely limited genetic diversity among these viruses. In fact, multiple introductions resolve why lineage B predominated the early pandemic. Additionally, the Gao preprint indicates that lineage A was also at the market, thereby supporting the introduction of both lineages at the market.”
I would add that if the report really says that, then its authors and advisors cannot have read and/or understood Pekar et al. and Worobey et al. Or they are not being honest.
We say that your preprint described your findings as “dispositive evidence” for a market origin, and that that statement helped propel the preprints to the front page of The New York Times. We would welcome your response to that characterization.
The article appeared on page A4 not on the front page! For goodness sake. And as you well know, you should be asking the NYTimes for insights into their editorial decisions, not me. Though I believe the word “dispositive” played no role in their decisions. "Not on the front page" is technically correct but understates the placement. The Times's "Today's Headlines" digest for Sunday, 27 February 2022 — the morning after the preprints and the NYT feature dropped — listed "New Research Points to Wuhan Market as Pandemic Origin" as the lead item under Editors' Picks, immediately following the day's three Top News stories, all on Russia's invasion of Ukraine (which had begun three days earlier). On a Sunday when the war legitimately dominated every top slot, the market-origin piece was still the most prominently featured non-Ukraine story the paper ran.context
Since this is a well-worn talking point on lab leak Twitter, it does make me wonder about the extent to which your reporting will simply regurgitate, uncritically, such talking points. Given that you have “given” me very little time to respond to your queries, and I am assuming that you have not actually approached the NYTimes reporters/editors themselves about this since you wouldn’t be asking me if you had, this comes across as a deeply unserious effort at reporting the facts. While this comes as no surprise from Katherine and Vanity Fair, I’m genuinely shocked and dismayed to see such a journalistic practice from ProPublica, who I have admired.
You mention that you have seen “drafts”, plural, of the report. Did you really need to leave me less than 22 hours to respond to your queries? Did you really need to write your characterizations of issues pertaining to my work and then ask me to correct their inaccuracies, rather than seeking my input instead of writing inaccurate text?
We also say that when the peer-reviewed version of your article was published in Science in July, the statement regarding “dispositive evidence” and more definitive language was no longer included.
That is correct. The entire paper changed quite a bit, not least because the preprint was not written in the style, format or length of a Science Research Article. It is true that the word “dispositive” did not appear in the published paper. That was a choice we made ourselves in part because the word is a legal one we realized is not best suited, or well-defined, for a scientific audience. Nevertheless we used similar language in the Science paper: “our analyses indicate that the emergence of SARS-CoV-2 occurred through the live wildlife trade in China”.
Most importantly of all, none of our results were weakened in the peer-reviewed papers compared to the preprints. Indeed, they were vastly strengthened. This flatly contradicts the account of one of Worobey et al.'s own peer reviewers, in private correspondence spanning December 2022 to October 2024 (see that reviewer's own December 2022 email, reproduced further down in this document).contradicted by reviewer
We say that some scientists view your and Pekar’s articles as proof of a market origin, while others remain skeptical of the double spillover theory. We cite the German virologist Alexander Kekulé, who noted in a podcast:
“You don’t really have to be a virologist to see that this is a bit odd…. what Worobey is offering as an explanation for the worldwide pandemic is that, within a few weeks, two completely independent animals that each happened to be for sale on the same market in Wuhan were infected with two different virus strains, so to speak, and each just happened to infect at least one human, who then set off such an infection wave. Hmm! Well, this had not happened in the previous 30 years, strangely enough, and also has not happened again since.”
Would you like to respond to Kekulé’s characterization?
As Jonathan notes: “There have been repeated introductions of other viruses too, including several coronaviruses. MERS-CoV spills over into humans regularly, and there have been dozens of introductions. SARS-CoV spilled over into humans multiple times. Even recently, there were two separate introductions of porcine deltacoronavirus in Haiti. The animals in the Huanan market were not independent: they were from the same area of the market, with SARS-CoV-2 likely circulating among them and other animals there. Additionally, after humans exposed and infected mink with SARS-CoV-2, the virus rapidly spread through mink farms and then was introduced back into the human population dozens of times. The rare evolutionary events (e.g., developing the ability to bind to ACE2, developing the ability to replicate in humans, spilling over from bats to an intermediate host) all happened beforehand. As evidenced by SARS-CoV-2 itself and other viruses, once a virus is able to infect and transmit among humans, repeated introductions into the human population when humans are in consistent contact with the source—here, animals at the Huanan market—is not unlikely.”
We would welcome an opportunity to speak with you, or to get written responses from you. In order to be able to include your responses, we would need them by 6PM Eastern time on Wednesday, October 26th.