I
wanted to post this so that, when things are completely back to normal (and
yes, Dr. Fauci, they will be), and covid is but a fading memory, we’ll all
remember the day we turned the corner and began to put it behind us.
But
first, a few inconvenient facts.
I
know of a person whose relative was dying. While in the hospital, the relative
was tested for the viru$, and the test result was negative. When the relative
entered the phase of actively dying, hospital officials informed the family
that they were going to move her into the covid wing. The family asked why, since
her test was negative, and were told, “We move everyone who’s dying into the
covid wing.”
Fortunately,
this family pushed back. Another relative was traveling to be with her in her
final days, and he wouldn’t have been able to see her if she was in isolation
in the covid wing. So they insisted she not be moved, and she wasn’t. How many
families would not push back, would just follow the direction of the hospital
authorities?
This
is an actual story, from a reliable source who has no motivation to make it up.
It happened. “Ah,” you say, “but it’s just one person.” Pay attention: “We move
everyone who’s dying into the covid wing.” Everyone. You know how
many people die every day, in any given hospital in the U.S.? You know how many
hospitals are doing this?
And
why move them into the covid wing? So that it can be classified as a covid
death. And that puts the $ in viru$, because the CARES Act provides a 20%
premium for Medicare payments to hospitals for covid patients.
Now,
numerous online “fact-checking” sources (all with a liberal bias) have asserted
that there is no evidence that covid numbers are being inflated for the
purposes of hospitals cashing in on that premium. But they admit the premium is
there, and that is undeniably an incentive. So if those numbers aren’t being
inflated …
Why
is a hospital moving every dying patient into the covid wing, even if
they have a negative test result?
This
points to an overstatement of mortality due to the viru$. Lest you doubt that,
recall that the state of Colorado had to adjust their death count downward
several months ago, as attending physicians’ diagnoses of cause of death (COD)
differed from what state officials recorded. How big was the adjustment?
Twenty-five
percent.
And Colorado is just one state.
Even
the CDC has acknowledged that in only 6% of cases, covid was the only COD
factor listed. Six. Percent. In other words, only about 15,000 deaths.
Now,
the CDC is clear that this doesn’t mean that the viru$ wasn’t a contributing
factor in all those other deaths, and I’m not suggesting that, either. It may
have accelerated death in someone that was teetering on the brink anyway, due
to age, co-morbidities, or some combination thereof. We do know that the vast
majority of deaths in Italy last spring, for example, were patients age 85 or
older with multiple co-morbidities. The kind of people who shouldn’t be
buying unripe bananas anyway. Whose death could be accelerated by the flu or a
sinus infection.
I’m
just very suspicious of the actual, covid-caused death count, based on
this and other information.
Enough
about mortality. On to reported cases, and positivity rates.
I
now know of three instances – having occurred in two different places, hours
apart – where the people involved signed up to get a PCR test for the virus, provided
their contact information, and went to the test site. Once there, they found
the line was more than an hour long, so they left. Went home or back to work.
Didn’t get tested. And –
Were
later notified that they had tested positive.
I
have relayed this to other people that I know, and they have also heard of some
such instances from people they know. Trustworthy sources who have no incentive
to make up such things. (I’m tempted myself to sign up to get tested and not
show up, just to see how prevalent this is. If I do, I’ll record the whole
thing.)
Isn’t
it interesting that there are no anecdotal stories of someone signing up for a
test, showing up, and going home because the line is too long, then receiving
notification of a negative test result?
Elon
Musk, of Tesla fame (the car, not the rock band), recently tweeted that he received
four of the rapid covid tests (not the PCR). Same day. Same nurse. Same
facility. Same machine producing the results. And –
Two
positive. Two negative.
The
point of these stories is that the tests are woefully unreliable. And the
process is apparently skewed to report more positive results. Even for people
who never got tested, but provided their contact information so that they could
be notified of a positive result.
The
testing problems don’t end there. The most widely-used test, the PCR test, amplifies
genetic matter from the virus in cycles. The fewer cycles required, the greater
the amount of virus, or the viral load, in the subject. The greater the viral
load, the more likely the subject is contagious. But –
By
running a larger number of cycles, the test results in finding more genetic
matter. Why is this significant? Because, over a larger number of cycles, the
test may find dead fragments of the virus in people that were previously
infected and didn’t know they had it, but still remain in their body. These
dead fragments are incapable of infecting anyone else – in other words …
Run
enough cycles, and you’ll get more positive results, but the people testing
positive are not at all contagious.
According
to the NY Times: “In three sets of testing data that include cycle thresholds,
compiled by officials in Massachusetts, New York and Nevada, up to 90 percent
of people testing positive carried barely any virus.”
That’s
three different locations. Three studies. And this was published in the very
left-leaning NY Times.
A
Harvard epidemiologist said it’s like finding a hair from a serial killer’s
head in a room weeks after that person was there, and concluding that the killer
must still be in the room, and is thus a threat.
How
many cycles are enough, and what constitutes too many? A University of
California-Riverside virologist has said that any test with a cycle threshold
above 35 is too sensitive – in other words, run more than 35 cycles, and you’ll
get too many false positives; positive readings from people who can’t infect
anyone. She went on: “I’m shocked that people would think that 40 could
represent a positive.” She suggests a cycle threshold of 30-35. The Harvard
epidemiologist would set it at 30 or less.
So
how many cycles are typically used? North Carolina uses 37. New York uses 40. In
my home state of Kansas, neither the Governor’s office nor the health
department will disclose the threshold, but it’s said to be 42. (And why won’t
they disclose it? This is the same state that suppresses other key viru$-related
data, and whose health director has used data mining and graphic sleight-of-hand
to mislead people regarding the efficacy of mask use in preventing viral
spread.)
At
a threshold of 35 vs. 40, these experts estimate that 63-90% of positives would
be negative. So if we apply that to the recent nationwide one-day record of
185,000 cases reported, that means the actual positive case count would be just
18,000-68,000.
Another
problem that the Harvard epidemiologist noted is the CDC’s recommendation that
only symptomatic people be tested. He noted that this really tells us nothing
about the infection rate, because someone with symptoms is already more likely
to test positive. Why, you may ask, is this a problem, since they’re testing
positive with symptoms?
It’s
a problem because it drives the positivity rate, which is the rate of positive
test results divided by the number of tests administered. And the positivity
rate is being used as a key gating criterion for opening or keeping open
schools and colleges, in places like my home state of Kansas. Why use this
metric? It wasn’t used early on. It’s another example of moving the goalposts
to manipulate the score.
Think
about the factors that influence the positivity rate higher, that we’ve just
discussed:
· You
only test people who are likely positive anyway
· You
use a cycle threshold that produces an estimated 63-90% false positives
· You
report positive results from people whose information you have, but whom you’ve
never tested
Combining
these factors, can we conclude anything other than that the positivity rate is
vastly overstated?
Finally,
I’m a data guy, so let’s look at some data. Below is a graph using CDC data on total
deaths per million population, monthly, going back to 1900. This captures the
1918, 1957-58, and 1968 influenza pandemics. Note that the data shows total
deaths, including those illnesses, as well as the viru$ through August of this
year.
Now,
the current pandemic has been compared to the 1918 flu outbreak. We’ve
frequently heard, “There’s been nothing like this for 100 years.” Well, the
graph puts the lie to that notion. This year looks a lot like the 1968 flu
outbreak, and is an order of magnitude lower than 1918. I’ll circle back to 1968
momentarily, but first, let’s look at those three previous 20th-century
flu pandemics compared to the current one. We’ll go in reverse chronological
order, citing U.S. data only. The sources are the CDC and the U.S. census.
· 2020:
251,000 deaths, 331 million population = 758 deaths/million (we know that about
half the deaths have been people 75 and older; 75% had co-morbidities; and 86%
were 75 or older and had co-morbidities)
· 1968:
100,000 deaths (most over the age of 65, according to CDC), 200 million
population = 500 deaths/million
· 1957-58:
116,000 deaths, 172 million population = 674 deaths/million
· 1918:
675,000 deaths, 103 million population = 6,553 deaths/million
From
those numbers, this pandemic looks a lot more like the ones in the ‘50s and ‘60s
than 1918. This year’s numbers are only 12% higher than ’57-58, compared with
1918’s, which were nearly nine times higher than 2020.
Back
to 1968. I can speak to this, because I was alive then, unlike those earlier
flu outbreaks (I was born in November of ’58, but that outbreak was over by
then, and I don’t remember much about the first two months of my life anyway).
I
clearly remember the day JFK was assassinated, in 1963. I was five years old. I
came home from school and my Mom was crying. I asked her why, and she told me
that President Kennedy had been killed. I remember wondering how she knew him,
since she was crying over his death. Hey, come on, I was only five.
I
remember the Civil Rights movement, from Dr. King’s “I Have a Dream” speech in
1963, through the tumultuous times leading up to the 1965 Act.
I
remember Dr. King’s assassination in 1968 – the same year of the flu outbreak.
I remember where I was when I heard about it. Same with Bobby Kennedy’s
assassination later that year.
I
remember all of these significant events that occurred when I was between the
ages of five and ten years old. They received heavy news coverage. (I remember
other things from my own life that occurred during those years, let you think
my memories are biased by recorded history.) But, you know what?
I
don’t remember one single thing about the 1968 flu pandemic. Maybe I had it.
Maybe someone else in my family did. Heck, maybe we all had it. But I don’t
remember it. It wasn’t prominent in the news. (Of course, back then we just had
the three non-cable networks, the news cycle wasn’t 24/7, and the news was
merely reported, not opined upon. The facts were reported, not distorted, and
the opining was left to us.)
You
think there’s one 10-year-old kid today who won’t remember 2020 like I remember
JFK’s assassination? If you believe that, look at the ceiling – someone painted
“gullible” on it.
The
numbers from that year look a lot like the numbers from this year. Yet it was a
non-story. No shutdowns. No isolation. No masks.
So
that was a fairly lengthy critique of COD reporting, testing, positivity rates,
and covid data relative to other pandemics. The point of this post was supposed
to be related to the date we turned the corner. If you’re still with me, I’ll
present my prognostication.
January
20, 2021.
Sometime
thereafter, states like Kansas and North Carolina and New York and
Massachusetts and Nevada will quietly, and without transparency, reduce their
cycle thresholds to a realistic level, and the number of positive test results
will immediately fall.
The
CDC will begin recommending that everyone be tested, including the asymptomatic,
and that plus the reduced cycle threshold will result in a plummeting
positivity rate.
Nobody
who signs up for a test, but doesn’t get one, will be notified of a test result.
The
20% Medicare premium for covid cases will be eliminated, and COD reporting will
become more accurate. Covid wards will empty. The mortality rate will drop.
The
news media will cover nothing but how cases, positivity, and the death rate are
dropping like stones.
The
Pelosis and DeBlasios of the world will resume encouraging people to get out and
live their lives.
The
economy will be allowed to fully re-open in every state, and unemployment will
return to February 2020 levels. The stock market will hit record highs.
Schools
will fully re-open for in-person learning, and failure rates will decline.
And
everyone who believed all the fear-mongering, will also believe the success
attribution.
You
see, all of the things I noted above can be easily manipulated to make a
situation appear worse than it is, to make people fearful, to justify finger-pointing
and blame-laying.
And
all of those things can be just as easily manipulated to make a situation
appear to have rapidly and dramatically improved, to allay the fears of the
fearful, and to justify grand-standing and credit-taking.