Johns Hopkins University/Covid dashboard

Johns Hopkins University/Covid dashboard (rigged science)
Start	22 January 2020
Founder(s)	Lauren Gardner,  Ensheng Dong,  Hongru Du
Rigged "real time" counting of "Covid" cases and deaths to inflate numbers by the deep state Johns Hopkins University

The Johns Hopkins COVID-19 Dashboard (JHU) was the most used data site for media outlets, medical researchers, health authorities, and the general public in the US and around the world during Covid. Within two months of its launch in December 2020, the website was being accessed 1.2 billion times per day.

Official narrative

In December 2020, only 23 days after China reported that they had found a handful of cases of an "unknown pneumonia" in the city of Wuhan and three months after Event 201, Ensheng Dong, a first-year graduate student in civil and systems engineering with a focus on disease epidemiology, and his thesis advisor in civil and systems engineering Lauren Gardner, who is co-director of the Center for Systems Science and Engineering (CSSE) at Hopkins, allegedly on the spur of the moment, released an online dashboard documenting its spread.

The JHU dashboard was later expanded to several dozen staff and moved to the new Johns Hopkins Coronavirus Resource Center.

Problems with offical narrative

In an analysis Thomas Verduyn concludes that

Beside the fact that tracking any illness in real time is functionally impossible, and notwithstanding the fact that nothing special was 'unfolding' when they developed it, all the evidence suggests that they succeeded in creating a Covid dashboard by using computerised models that were 'corrected' from time to time with data obtained from official government websites. By mixing data from computer models with data from observations while simultaneously asserting that they 'relied entirely on publicly available data,' they confounded the data so badly as to render it meaningless. As a result, the JHU Covid database is and was so unreliable that it should never have been used for determining either Covid cases or deaths.

The dashboard most likely used a mix of computer modelling and numbers gathered from the internet, and not actual figures

Initially, their primary data source was DXY, "an online platform run by members of the Chinese medical community, which aggregates local media and government reports to provide cumulative totals of COVID-19 cases in near real time at the province level in China and at the country level otherwise", soon branching out to include other sources: "To identify new cases, we monitor various Twitter feeds, online news services, and direct communication sent through the dashboard." As health agencies around the world set up their own dashboards, JHU incorporated them into their list of sources .

JHU also used Worldometer as one of their sources. In general, Worldometer uses computer simulations to report statistical information in "real-time." Their simulations are based on yearly totals and computer estimates.

Thomas Verduyn concluded that "some countries, knowing that they are unable to obtain data in real time, will be inclined to trust the dashboard and use its numbers for their own. JHU then "confirms" its own estimates against the "official" numbers. Since the official numbers were based on their own estimates in the first place, the error is confirmed, and neither the JHU data nor the country’s official data are correct. The result was that Covid numbers in some countries was as wrong as the computer models."

And that "many countries would not have been able to obtain their own data in real time and would therefore rely on the JHU dashboard as an authoritative source, thus replacing their own empirical data with modelled data. This would then find its way back into national official Covid-19 data repositories, to be used in future by JHU in their ongoing modelling efforts, thus setting up a vicious circle of fabricated data reinforcing the pandemic narrative."

Prize

Lauren Gardner won a €500,000 prize from Merck in July 2024 "or her contributions to the development of artificial intelligence systems capable of discovering and tracking future pandemics."

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