Before Bayer acquired Monsanto, the GMO giant had a reputation for faking the science and either bribing or threatening journalists to run stories touting its fake science, usually to claim GMOs were safe or that glyphosate was harmless.
Now, the Wall Street Journal is doing much the same thing with Stanford researchers, faking the science about Covid-19 in order to deceive America, falsely claiming the Coronavirus has already infected 55 times more people than currently believed, concluding that the case fatality rate is therefore very low.
We’ve tracked the authors of the WSJ articles and tied them to Stanford University and its pro-China “economic forum” activities that appear to be designed to destabilize the United States with communist-run disinformation attacks surrounding the Coronavirus.
In one recent article, the WSJ claims the fatality rate is nearly as low as the regular flu (0.1%). That article is touting the findings of Stanford researchers who published a highly-publicized paper that (falsely) claimed as many as 81,000 people in Santa Clara county were already infected with Coronavirus.
The paper was bogus. It relied on faulty test kits made in China that produce huge numbers of false positives. As we’ve already described in a detailed Natural News article, it turns out that the test likely had 13 false positives for every 1 “true” positive, rendering the study conclusions pointless. Even worse, the study subjects self-selected to participate in the study, and many obviously did so because they believed they had covid-19 symptoms and wanted to get free testing. Thus, the study wasn’t even a “representative” (randomized) population sample to begin with.
But the Wall Street Journal touted the study as a kind of bombshell, seemingly celebrating the good news that the Coronavirus was no worse than the flu — an oft-repeated mantra among pandemic denialists who insist the virus is largely a hoax. According to the WSJ, the Stanford study was legitimate, and it used as “representative” sample for testing (which is a lie).
There’s just one huge, glaring problem with all this:
The author of the WSJ article is also a co-author on the fake science paper.
His name is Andrew Bogan, and he’s listed right in the authors section of the paper itself.
Here’s his article from the WSJ: New Data Suggest the Coronavirus Isn’t as Deadly as We Thought
In the article, he’s citing his own paper, yet he utterly fails to disclose that he’s one of the authors of the paper. “Some experts—including in these pages—have questioned this assumption,” he writes. “They argue that known cases are likely only a small portion of the true number of infections, and thus high case-fatality rates could be off by orders of magnitude.”
Orders of magnitude? “Some authors?” He is one of the authors. And as the author of this WSJ piece, he lies about the accuracy of the study itself.