The Covid Narrative Flunked the Critical Thinking Test

At the height of the Covid hysteria, several times I encountered variations of the meme “It’s not a pandemic; it’s an IQ test.” Probably the memesters were poking fun at those duped by the mainstream Covid messaging.

In any case, that meme really misses the point. The essential problem has never been about one’s IQ. Many highly intelligent people (in an academic sense) swallowed a very dubious narrative, while others less academically gifted did not. The real divider was the ability and inclination to think critically about it.

In a previous article I explained the basic concept of critical thinking, which can be defined as rational judgment about appeals to belief. Here I will lay out my own classroom approach to it in relation to the Covid messaging and policies. 

The approach was derived from Browne and Keeley’s once popular critical thinking textbook, Asking the Right Questions: A Guide to Critical Thinking. Simplified for Japanese university students unfamiliar with the concept of critical thinking, this approach consists of six questions, all very applicable to the official narrative about Covid. For any Japanese speakers who may be reading this, here is a video link of me explaining my approach.

Number one: What are the issues and the conclusion? The purpose of this question is to spur awareness that very often there is an assertion being made in the context of a debated issue. Many of my students have been completely unaware that a debate exists about many matters they hear about in school or from the media, such as climate change/global warming.

When people insist that no real debate exists in regard to an issue about which reasonable people differ, they have already failed the critical thinking test. That stance certainly has been the substance of much Covid messaging.

Number two: How good are the reasons? Many of my students can brainstorm on their own the characteristics of good reasons: clear, true, logical, objective, and important. In the Covid context, untrue reasons include arguing on the basis that novel, experimental injections are certainly (100 percent or 95 percent) “safe and effective.” Moreover, the demand by pharmaceutical companies to receive complete legal protection from any liability belied this claim of safety. 

Along with that, it was not logical to endanger people with potentially serious health harms from experimental injections or to withhold from them medical care in the name of protecting them, as happened during the lockdowns.

Number three: How good is the evidence? For the purpose of learning critical thinking about statistics, a number of books explain common forms of statistical deception and error. The classic book How to Lie With Statistics, along with the more recent book by Joel Best Damned Lies and Statistics, show how such dubious statistical data is often created or else badly interpreted.

In a Japanese book, Shakai Chosa no Uso (The Lies of Social Research), Professor Ichiro Tanioka reveals that government statistics also are often deceptive and simply serve the interests of bureaucrats and politicians, either by magnifying a problem to justify government policies and funding or by making a government program appear to be successful. Since many people are easily impressed by number data, he comments that more than half of all social science research is garbage, a problem compounded when the data is then referenced by the mass media, activists, and others. 

Since the earliest days of the Covid panic, statistical chicanery has been conspicuous, including Neil Ferguson’s now-infamous predictions of millions of deaths without lockdowns. Norman Fenton exposed a number of statistical confusions in the UK’s national statistics in regard to Covid. As another example, Pfizer’s claim of 95 percent Covid vaccine efficacy was based on its own shoddy research using the PCR tests. However, few in the Covid-messaging mainstream bothered to look into the statistically shaky basis for this claim. They simply parroted the “95 percent.”

Number four: Are any words unclear or used strangely? A number of words took on unclear, strange, or inconsistent meanings during the Covid panic. One notable example was the word safe. In the case of the experimental Covid injections, the term evidently could accommodate a wide variety of serious side effects and a considerable number of deaths.

However, in other contexts, an extreme, all-or-nothing concept of safety came into play, as in the slogan “No one is safe until everyone is safe.” This slogan makes as much sense as shouting, during the sinking of a passenger ship, “If everyone is not in the lifeboats, then no one is in the lifeboats.” Nevertheless, this nonsensical mantra was on the lips of many in the corporate media, in order to insist on policies like universal Covid vaccination.

Interestingly, this absurd concept of safety is actually one of the items in The Ennis-Weir Critical Thinking Essay Test, which I made use of in my teaching and research (The test and manual can be downloaded for free). The test focuses on a fictional letter to a newspaper editor arguing for a total ban on overnight street parking in a certain city. The test-taker’s job is to evaluate the various arguments in the letter, one of which asserts that “conditions are not safe if there’s even the slightest possible chance for an accident.”

Of course, such a view of safety could lead to the ban of almost anything with the slightest element of risk. To illustrate this, I pretended to trip on a student desk in class. Then I would insist that the accident showed that “teaching is too dangerous” and leave the classroom briefly. There is very little in life that is really “100 percent safe.”

Another conspicuous misuse of terminology has been referring to the Covid injections as “vaccines,” since the novel mRNA technology does not fit within the traditional definition of a vaccine. A more accurate designation would be “gene therapy,” since the injections influence the expression of the body’s genes, as Sonia Elijah and others have pointed out.

In order to allay public anxieties and avoid the necessity of testing their injections for possible toxic gene-related side effects like cancer, the familiar, user-friendly term vaccine was chosen. Then when the “vaccines” were obviously failing to prevent Covid infection, as vaccines are normally expected to do, the public was suddenly offered a new definition of a vaccine –something that does not prevent infection at all but simply ameliorates the symptoms of disease. 

Number 5: Are there any other possible causes? People often arbitrarily attribute phenomena to causes that they wish to implicate. However, multiple causes may be to blame, or the real cause may actually be something entirely different. For example, many have been blaming human-generated CO2 for the high temperatures this summer, but other possible causes have been identified, such as an increase in atmospheric water vapor from underwater volcanic eruptions.

In regard to Covid causation, John Beaudoin discovered evidence of widespread fraud on death certificates in Massachusetts, in response to pressure from public health officials wanting to inflate Covid death figures. Hundreds of accidental deaths and even Covid vaccine deaths were counted as resulting from Covid.

Looking at the UK’s national Covid death statistics, Norman Fenton discovered a similar problem. Only around 6,000 people actually died from Covid alone, a mere four and a half percent of the total number of supposed “Covid deaths.” The rest had other serious medical conditions as possible causes of death. If a person tested positive on a PCR test after hospital admission, even someone fatally injured in a traffic accident could be counted as a Covid death.

In another example of wrong-headed thinking about causation, elements of the mainstream news media and certain “experts” credited the initial relatively low numbers of Covid hospitalizations and deaths in Japan to the practice of universal masking here. Unfortunately for that theory, soon afterwards Covid cases and hospitalizations shot up dramatically in Japan, making the “saved-by-masks” explanation difficult to maintain. Nevertheless, many officials and media outlets had decided early on that they believed in masks, regardless of what the evidence and common sense had to say.

Number six: What are the basic assumptions and are they acceptable? An assumption is an underlying, unstated belief that often goes without challenge and discussion. Recently I encountered a false assumption when I decided to stop wearing a face mask in class at my university. This met with the displeasure of one of the higher-ups, who called me in for a chat. He insisted that my unmasked face was making my students uncomfortable in class. He was assuming that they felt this way about it, so I decided to do an anonymous survey to find out their real feelings. To my surprise, only one student in all of my classes objected to my going maskless. The rest preferred that I teach without a mask or else expressed indifference.

Adherents of the mainstream Covid narrative accepted as axioms dubious ideas such as these:

• Viral epidemics can and should be halted by extreme measures bringing great suffering on large numbers of people.
• The threat of Covid infection supersedes human rights such as the rights to work, to commune with other human beings, to express opinions freely, etc.
• Facial masks prevent Covid transmission.
• Facial masks do no significant harm.

These assumptions have been ably debunked by many articles at Brownstone Institute and elsewhere.

Thus from the beginning the mainstream Covid narrative has failed to give persuasive responses to any of these questions. In light of that, it is remarkable that there are still many people who endorse the original Covid measures and messaging. Especially in times like these, more people need to employ critical thinking to become less gullible and more skeptical of widespread ideas and influential entities, including those usually branded as reliable. They neglect to do so at their own peril.