We decided to feature the following article from AIER (American Institute for Economic Research) because it is well written and makes some very good points.
We don’t agree with it entirely though. We feel for example it does not give full weight to the following:
- The fact that the PCR test, one of the major tests used for “diagnosing” COVID19 “cases” is completely useless – even the UK government itself admits that is CANNOT DETECT A LIVE VIRUS – and the use of it by the government to test for the bug and and then use its misdiagnoses to declare thousands of cases, which are then used to promote a bogus threat that justifies lockdown and the reckless deployment against the populace of a dangerously rushed and inadequately tested vaccine is premeditated fraud – or worse.
- The COVD death stats have been false from the outset – fiddled to misrepresent a fatality rate much higher than has been the case.
- The authors omit the important context of the age groups and so forth where serious complications and deaths are likely to occur (elderly and/or already struggling with serious, possibly fatal, illness.
Nevertheless we thought the article was well worth show-casing here and AIER well worth recommending as a conscientious and thought-provoking info source.
There are lies, damned lies, and statistics. While this warning is never terribly far from the political surface, it should be axiomatic whenever anyone starts talking about Covid data. It has been years since a common pool of data has been so thoroughly mishandled by all sides, and this is sure to continue at least until a vaccine has been developed and delivered.
The surest sign that someone is playing fast and loose with statistics in order to push a particular point of view is the absence of context. And regardless of one’s position on the need for Covid lockdowns, one thing is clear: since the outset, the media have quoted Covid statistics with a consistent absence of context. The result has been to turn people who believe Covid is a significant danger into quivering cowards, and to cause people who believe Covid isn’t all that dangerous to dismiss the warnings entirely.
All the way back in March, when we were just realizing what we were up against, the media defaulted to the case fatality rate – the number of deaths out of confirmed cases. The World Health Organization estimated this would be over 3 percent. Some outlets were reporting case fatality rates above 10 percent. By comparison, the case fatality rate for the common flu is a mere fraction of a percent.
On its face, a high case fatality rate leaves the uninformed reader thinking that the odds of dying from Covid are astronomical compared to the common flu. But in March very few people were being tested. To get tested for Covid, one generally had to be sick enough to be hospitalized. Those for whom symptoms were light or even nonexistent didn’t get tested.
The result is that the reported Covid fatality rate was biased upward – early estimates had Covid more than 100 times deadlier than the flu. But, at this point, the whole exercise was like asking what fraction of the female population is in labor by surveying women in a maternity ward. That statistics were frightening, but without the necessary context, they were also meaningless.
By early April, the media was feeding people daily reports on mounting Covid deaths. Gaudy numbers with lots of zeros framed every screen, and they drew the same significant attention that massive death tolls always bring. The missing context here: The number of people who died on a typical day before Covid.
At the April peak, more than 2,400 Americans were dying daily from Covid. But, before Covid, 7,800 Americans died daily. And that’s comparing the peak daily Covid deaths to average daily deaths in 2019. The average daily US Covid deaths since the outbreak occurred is around 870, or 10 percent of the number of deaths we would expect in the normal course of events. The number is concerning, but bodies were not piling up in the streets as many breathlessly predicted.
The lack of context led people to believe that thousands of deaths per day was something out of the ordinary. More people were dying to be sure, but to understand what that meant would have required people to understand how many Americans die each day in the normal course of events. The American people generally have little idea, and the media doesn’t help matters. It is the fantastic, after all, that drives media behavior.
By mid-April, pictures of exponential growth were everywhere. But exponential growth is typical. Every disease outbreak shows exponential growth at the outset. And every disease outbreak shows a peak and decline following that exponential growth. Without context, one could take the growth to mean that we’d all be infected, and likely dead, in short order.
By May, Covid deaths were falling, apparently depriving the media of a story. But increased testing meant that more cases were being discovered, so the media shifted from breathlessly reporting daily deaths to breathlessly reporting daily infections. For their purposes, one was as good as the other.
But as was the case in March and April, context also mattered in May. There was no discussion of what “case” meant. A case could be anything from someone on a ventilator to someone showing no symptoms at all. Early data indicated that around 80 percent of Covid cases didn’t require hospitalization. The lack of context left the impression that each additional case was one more person on death’s door.
Making matters worse, the increase in testing introduced a confound. By definition, the more people we test, the more cases we’ll find. What matters isn’t the number of new cases we find, but the number of new cases we find as a fraction of the number of new tests we conduct. Without the context of the number of new tests conducted, there is no way to know whether we are finding more cases because more people are getting infected, or we’re finding more cases because we’re doing more testing.
In fact, in May and June, although the number of new Covid cases steadily rose, the percentage of tests coming back positive declined, indicating that the rising case numbers were due less to increased cases than to increased testing. And while the media says (correctly) that the number of daily cases in November is setting records, they do not report that this is largely due to increased testing. The fraction of tests that are coming back positive, while rising, is on par with what the US experienced in mid May.
We can blame this persistent lack of context on a perfect storm of politicians seeking to be “doing something,” media seeking to sell advertising, and people paying enough attention to be scared, but not enough to understand.
From the beginning, politicians were caught between a rock and a hard place. Locking people and businesses down meant possibly saving lives from Covid, but it also meant losing lives and livelihoods to unemployment, poverty, depression, suicide, and domestic violence. Politicians had to choose wisely. Influencing their decisions was the fact that the ramifications of choosing incorrectly weren’t evenly weighted.
If the disease were virulent and politicians failed to lock down the American people, it would be clear that the politicians had erred and the people would hold them accountable for the many deaths that would ensue. But if the disease were mild and politicians unnecessarily locked down the country, it would not be at all clear that the politicians had erred. They could always say that the disease would have been devastating had they not locked everyone and everything down. That relatively few people died was actually a sign that the politicians had done the right thing.
Whether right or wrong, the better option for the politicians was to lock down. But the people would not tolerate a lockdown if they believed that the virus was a mild threat. For the politicians to be able to execute what, for them, was the safer strategy, the people had to believe that were it not for the lockdowns, millions of Americans would die. One way to convince people of this is to present them with data taken out of context.
Meanwhile, the media, ever on the lookout for ways to attract more eyeballs, had a stronger incentive to present the data in the worst possible light than to present context that made the data appear less scary.
While all of this may sound like an elaborate conspiracy, it isn’t. No one conspired to achieve this outcome. Politicians, people, and the media simply responded to the incentives in front of them. The outcome we got was entirely predictable.
And what will happen next is entirely predictable as well. Infections, we are told, are on the rise again.
Expect to see the politicians saying exactly the sorts of things they said in March and April. Expect the media to play the role of enabler once again. The only difference will be the response they get from the American people, which is the one group that seems to have a collective memory that reaches all the way back to March. They suffered the lies and the damned lies they were served. The same bungled use of statistics won’t work on them again.
There is no question that Covid is a serious disease, and that every life lost is cause for concern. But each one of us faces very real risks every day from all manner of things. What’s important is that we address each risk with commensurate care. That the media has consistently reported on Covid without appropriate context suggests that historians will look back on 2020 less for its outbreak of Covid than for its outbreak of hysteria
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