The non-science of WHO’s weekly Covid reports
The World Health Organization was working blind
by Thomas Verduyn
WEU, for those that are unaware, is an acronym for “Weekly Epidemiological Update.” It was the title that the World Health Organization (WHO) gave to their Covid reports. The WHO started generating these weekly reports on 17 August 2020 after giving up on their idea of daily reports. A full 158 WEU reports were produced before zeal for the project petered out. Recently an article was published in the BMJ which was designed to provide “an in-depth analysis” of the “process, from data collection to publication, focusing on the scope, technical details, main features, underlying methods, impact and limitations” [1]. That article has 52 names in its list of authors, 51 of whom were affiliated with the WHO. The remaining co-author was from Johns Hopkins University (JHU).
The article begins with a “Summary Box” that contains five bullet points, each a conclusion based on their analysis of the WEU reports. Since we respectfully disagree with all five points, we thought it appropriate to write a formal response.
Bullet 1:
COVID-19 has posed an unprecedented global health crisis, demanding timely, reliable information on the pandemic’s progression to inform the public and guide decision-making.
They expand on this in the body of the article by saying: “The COVID-19 pandemic has posed an unprecedented global health crisis, with more than 770 million confirmed cases and over 6.9 million confirmed deaths being reported globally to WHO from 1 January 2020 to 1 September 2023.”
While we certainly do not begrudge the WHO for deciding to keep tabs on a disease that potentially claimed 6.9 million lives over the space of 44 months, we take exception to calling it an “unprecedented global health crisis.” The word unprecedented means “never having happened or existed in the past” [2]. We are at a complete loss to see how Covid was a global health crisis, let alone an unprecedented one [3]. To be thorough, we demonstrate that there was nothing unprecedented about Covid by pointing out a few things that happen during every normal 44 month period:
89 billion cases of respiratory infections [4]
2.5 billion people are infected with the norovirus [5]
264 million people die of old age [6]
37 million people die of cancer [7], and
5 million people die in a car accident [8]
Therefore, even taking their numbers at face value, the only thing that was unprecedented about Covid was the response to it. Never before in the history of humanity was nearly the whole world locked down in a vain attempt to arrest the spread of a disease. The “global crisis” of the past four years was not a respiratory disease but a bureaucratic disorder. The crisis was man-made, inflicted on humanity by governments and public health officials that chose to lock people in their own homes, prohibit them from earning a living, close churches, mask children for hours a day, ban weddings and funerals, isolate children from their dying parents, ticket people for walking in a park, and then, finally, to coerce the masses to have an untested pharmaceutical product injected into their arms. Every one of these decisions was unprecedented and nearly global in extent. These responses destroyed healthy businesses, killed poor children, increased stress, weakened immune systems, drove many to the brink of insanity, and in general caused more havoc and death than Covid ever would have. Excess deaths in most countries around the world during the past four years prove this terrifying reality [6].
The fact that the authors never mention any of this, but instead call Covid the unprecedented global health crisis is an embarrassment to the medical professional. The glaring omission makes the WHO a serious contender for itself becoming an unprecedented global problem. If the WHO was truly concerned about public health, then instead of producing weekly updates tracking Covid they should have been producing weekly updates tracking the unprecedented human carnage caused by lockdowns and vaccines [9].
Bullet 2:
The WHO’s COVID-19 Weekly Epidemiological Update (WEU) provided regular, comprehensive and authoritative analyses of the global COVID-19 situation.
Actually, the WEU reports were neither comprehensive nor authoritative. For example, in Figure 1 of their article they provide six graphs, each showing Covid cases and deaths in a different region of the world: Europe, Americas, Mediterranean, Asia, Africa, and the Pacific. Of significance is that in Europe and the Americas there is an almost complete disconnect between cases and deaths, whereas in the other four regions deaths rise and fall in sync with cases. As it is impossible for Covid to have changed its lethality simply by crossing a border to a new country, the graphs are proof that the data was anything but “comprehensive.” We have previously described at length the phenomenon of how the Covid data varies significantly by country [10, 11]. The WHO reports, however, are strangely silent on this glaring trend. How then can they be called “authoritative analyses”?
Bullet 3:
The production of the WEU included several steps, which were standardised, regularly refined and automated when possible, to ensure consistency and accuracy.
The steps taken by the WHO to generate each WEU may have ensured consistency, but it is certain that the results were not accurate. For instance and by their own testimony, they admit to enormous gaps in their data:
“During this period, reporting completeness varied significantly.”
“The number of countries reporting data on new hospitalisations ranged from 41% to 12%.”
“The number of countries reporting data on ICU admissions ranged from 17% to 4%.”
“11% [of countries] reported weekly new hospitalisation data at least 80% of the expected times.”
“9% [of countries] did the same for new ICU admission data.”
Furthermore, in the last published WEU it says:
“Please note that the absence of reported data from other countries to the WHO does not imply that there are no COVID-19-related hospitalizations in those countries. The presented hospitalization data are preliminary and might change as new data become available. Furthermore, hospitalization data are subject to reporting delays. These data also likely include both hospitalizations with incidental cases of SARS-CoV-2 infection and those due to COVID-19 disease.” [12]
Therefore, not only do they admit to a lack of data and to delays in reporting, but also to the fact that the data they did receive may or may not be indicative of Covid at all.
Naturally, this lack of data is entirely expected, for it typically takes many months or years even for technologically advanced countries like Canada and the US to produce good data [13]. What is unexpected, however, is that despite such glaring holes in the data, the WHO should still claim their reports were accurate. Precise, maybe, but certainly not accurate.
If a majority of countries were not reporting any data, how could the WHO generate anything even remotely useful? Indeed, if only 9% of countries reported at least 80% of the time, how can it possibly be said the WEU reports were accurate? It cannot. They weren’t.
Furthermore, although it is not said expressly, there is an important reason why the above quotations discuss “hospitalizations and ICU admissions” rather than “cases and deaths.” The reason is that the WHO used different sources for each. Hospitalization and ICU data were obtained from health authorities, but case and death statistics were extracted from “data repositories” (See Figure 5 in [1]). In other words, despite the fact that only 9% of countries reported their data to the WHO, the WEU could still report cases and deaths in 100% of countries because the data came from a different source. The fact that the WHO did not even claim to be getting its case and death data directly from each country testifies that countries around the world were unable to produce this information.
If countries were unable to generate case and death data, where did the data repositories get this information from? The short and blunt answer is that they made it up.
Indeed, no information is provided in their article about which repositories were used. However, the obvious and primary data repository would have been the one maintained by Johns Hopkins University (recall that one author of this WEU analysis was from JHU). Based on our recent study of the JHU dashboard [13], all the evidence strongly suggests that case and death numbers in their data repository were primarily generated by computer simulations rather than observed events. This WEU analysis confirms our conclusion, for the very fact that the WHO did not (and could not) obtain case and death data directly from each country, and that only 9% to 11% of countries could report on hospitalizations or ICU admissions, means that factual data was positively unavailable.
Therefore, the WHO did not have access to case or death data, let alone hospitalisation or ICU admission data. It is remarkable that the authors of this WEU analysis would neglect to discuss this critical aspect of their data. It is disturbing that despite these glaring problems and holes they insist that their data was accurate.
Bullet 4:
Addressing the persisting challenges inherent to the global surveillance of COVID-19, many of which were exemplified by the WEU, will require sustained international collaboration, commitment and investment.
What this fourth bullet means is that the WHO thinks that governments around the world need to invest more money and time into their continued surveillance of Covid. In the body of the article this is explained as follows:
“It is critical that countries maintain core SARS- CoV- 2 surveillance capacities and activities to inform ongoing public health measures and ensure that future surges of COVID- 19 are rapidly detected, allowing for swift action to prevent larger outbreaks.”
There are multiple problems with this statement. In the first place, the “health measures” that were already tried (lockdowns, masks, vaccines), besides causing enormous economic damage, mental stress, and deaths, failed to change the course of Covid. The failure of lockdowns has been proven by hundreds of different researchers [9]. And concerning the Covid shots, the authors themselves admit that the vaccine effectiveness (VE) waned over time: “For both Delta and Omicron… VE for individual vaccines [declined] over time for severe disease, symptomatic disease and infection.” What they fail to admit, however, is that the initial high VE and also the subsequent decline were nothing more or less than a mathematical result of the way vaccinated individuals were classed as unvaccinated for a period of time [14]. In plain English, the shots were a colossal failure at preventing Covid [15]. Moreover, the Covid shots have caused an unprecedented number of severe adverse events, including at least one million deaths [16]. If the “swift action” that was taken in the past failed to arrest Covid, what then is proposed to stop future outbreaks?
In the second place, because data takes so long to collect it is functionally impossible to “rapidly detect” surges of any particular respiratory ailment. This is especially true for a disease like Covid whose symptoms are indistinguishable from several other respiratory illnesses [17]. Nor will it help to rely on genomic sequencing to resolve the conundrum. The authors themselves prove this, affirming that:
“Timely sharing of genomic sequencing data from countries was also challenging due to the median lag between the collection and submission of SARS- CoV- 2 sequences to GISAID varying significantly across countries, ranging from approximately 2 weeks to over 9 months.”
If it takes several months for genomic sequences to be uploaded, by the time surveillance has determined anything of value, the surge, if there ever was one, will be long past.
Bullet 5:
The methodology and lessons learnt from the experience of the WEU offer a blueprint for the development of information products that can support the response to future major health emergencies.
Since there wasn’t a major health emergency in the first place, it is doubtful if the WEU experience can support any future response.
We respectfully submit that the WEU experience should have taught the WHO to be more cautious about declaring a pandemic, because in doing so millions of lives were ruined and lost without cause [18, 9]. It should also have taught the WHO that rapid global data of a specific disease is impossible to collect, even in a high tech world. And it should have informed the WHO that transparent cost/benefit analyses should be done before sweeping measures are recommended on an unsuspecting world. Unfortunately these important lessons seem to have escaped the authors.
The question is why?
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This is a copy of a comment that I have just posted on your article about CV19 data provided by JHU. I am posting it again here since that article was published 10 days ago.
Uncanny!!
Even though I receive emails notifying me of new articles, I receive so many Sub stack notifications that I generally do not look at them when I receive them but go through them when I have some spare time then I do some 'binge reading'. I had such a binge reading session on 15 April, prior to this article being published. I posted a comment on the 'Where Aare the Numbers' article about MHRA still not releasing data regarding pregnancies, etc. https://wherearethenumbers.substack.com/p/mhra-still-wont-release-critical
Today I am doing a similar binge read and have just read this article about data on the JHU dashboard. Whilst reading what it said, it resonated so much with what I had said in my post on 15 April, namely:
"Bill Malcolm
Apr 15
I'm lost for words...
I have 2 points I wish to make.....
My second point is that what can be so difficult about summarising and publishing data that is contained within the systems that they administer/ monitor? It is not rocket science!
From early 2020, every country in the world (allegedly) reported, ON A DAILY BASIS, the new number of cases and deaths linked to CV19. The logistics of doing such (worldwide) reporting always puzzled me.
When did the reporting system get put in place and how was it administered? Were additional staff employed just to do this daily reporting? The logistics of this are quite mind boggling. Such data was being fielded from every health centre/ doctors practice/ hospital within each NHS region and reported centrally every day!! Even if such daily reporting was done, which I very much doubt, who (if anyone) checked/ verified the figures reported?..."
My suspicion has always been that much of the data reported in real time (news media, Covid dashboards like JHU) must have been educated estimates (guesses) or, worse still, completely made up!! This article confirms my suspicions and, if anything, it seems more likely that it was the latter!
My go-to source for CV19 data during the 'Restrictions' or 'Period of Madness' (much more apt descriptions than 'pandemic') was Worldometer, which gets prominently & extensively mentioned in your article.
As you correctly point out this website provides information (on a world wide basis) in respect of populations. What is remarkable is that this website has just 2 main topics, Population & Coronavirus
https://www.worldometers.info/
As an aside, given the date of your article, there is a note that now appears in a banner displayed (from 14 April) at the top of of the Worldometer Covid page, which says:
"NOTE: As of April 13, 2024, the Coronavirus Tracker is no longer being updated..."
What is peculiar (gleaned from using the Wayback Machine) is that prior to 2019, the site only had one tab on its home page (Population). In May 2019, it added a "GDP" tab and in September it added a "CO2" tab. The peculiar thing about the CO2 tab is that it only shows data from 1971 up to 2016. The tables & graphs in the tab look like a test out of the tables & graphs that would used in the (still in the future) Coronavirus tab.
On 29 January 2020, the Coronavirus tab was added.
https://web.archive.org/web/20200131025422/https://www.worldometers.info/coronavirus/
Whoever did this must have had amazing forethought (like 'Mystic Meg'!!) to decide to set up a completely new section on the website, which according to the figures it reported that day, only had deaths (1,133) in one single country (China). The table this day has 20 countries listed. The other 19 countries, in aggregate, have zero deaths and only 101 cases (range 1 to 14), including USA with just 5 cases.
On this first day of Coronavirus reporting, Worldometer ditch their GDP tab. And the next day (30 Jan), Worldometer ditches its CO2 tab!!
Another remarkable thing about 30 January is that 963 previously dead people in China came back to life because the total deaths for China dropped from 1,133 to only 170!!!
Prior to 29 January 2020, The Worldometer website would not have required much administration because it was not providing real word up to date data. On the "About" page, the following is stated (December 2019) regarding how the website works:
"The live counters show the real-time estimate as computed by our proprietary algorithm, which processes the latest data and projections provided by the most reputable organizations and statistical offices in the world."
This begs the question, how did Worldometer magically have the resources to not only obtain real world live data (if it existed, which I very much doubt) from all countries around the world but also verify it on an ongoing 24 hour basis?
Below is what was stated on the About page of their website (again from December 2019):
"Trusted Authority
Worldometers was voted as one of the best free reference websites by the American Library Association (ALA), the oldest and largest library association in the world.
We have licensed our counters at the United Nations Conference on Sustainable Development (Rio+20), to BBC News, and to the U2 concert, among others.
Worldometers is cited as a source in over 3500 published books, in more than 2000 professional journal articles, and in over 1000 Wikipedia pages."
I am just throwing out a hypothesis. If, prior to 2020, Worldometer was widely perceived to be such a trusted source (similar probably to how JHU would have been perceived) then, if somebody, or a group or groups, wished to spread false information/ propaganda (and wanted it to be trusted as being true) spreading such information through a trusted source (like Worldometer) would be a good way of doing it.
Particularly so because journalists and politicians are widely regarded as not trustworthy (journalists, politicians, Govt ministers are all near the bottom, around 20% trusted, in the annual Ipsos Veracity Index). Therefore a long established, very well trusted and apparently "independent" website would be excellent for providing support for what the media/ governments report, should any non-trusting citizens want to verify/ try to fact-check what they are being told.
The trustworthiness of this website seems to have even improved since December 2019 as the About page now says the following. Note the 10+fold increase in citations in journal articles (2,000 to 25,000).
"Trusted Authority
Worldometer was voted as one of the best free reference websites by the American Library Association (ALA), the oldest and largest library association in the world.
Worldometer is a provider of global COVID-19 statistics for many caring people around the world. Our data is also trusted and used by the UK Government, Johns Hopkins CSSE, the Government of Thailand, the Government of Pakistan, the Government of Sri Lanka, Government of Vietnam, Financial Times, The New York Times, Business Insider, BBC, and many others.
Over the past 15 years, our statistics have been requested by, and provided to: Oxford University Press, Wiley, Pearson, CERN, World Wide Web Consortium (W3C), The Atlantic, BBC, Milton J. Rubenstein Museum of Science & Technology, Science Museum of Virginia, Morgan Stanley, IBM, Hewlett Packard, Dell, Kaspersky, PricewaterhouseCoopers, Amazon Alexa, Google Translate, the United Nations Conference on Sustainable Development (Rio+20), the U2 concert, and many others.
Worldometer is cited as a source in over 10,000 published books and in more than 25,000 professional journal articles."
A breath of fresh air in the foetid stink of bureaucracy and cant.