Coronavirus Crisis: Main Thread

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Re: Coronavirus Crisis: Main Thread

Postby stickdog99 » Mon Mar 29, 2021 2:04 pm

DrEvil » 29 Mar 2021 15:00 wrote:
Belligerent Savant » Mon Mar 29, 2021 1:37 am wrote:.

The point of posting the video was to showcase how less than a year ago it seemed to be an "impossibility" (due in no small part to the hatred of the sitting President at the time). Yet here we are. Mass distribution of vaccines for populations at large -- no need for extensive trials, according to the experts.


One guy voicing his skepticism (a philosopher and bioethicist without a medical degree) doesn't make an "impossibility", and the notion that it would be so because Trump was in the White House is silly.


To be clear, I never claimed the vaccines would likely cause imminent death. Only that it has. AND that long-term negative impact to health are currently NOT KNOWN.


Again, exactly the same as the virus, which so far has killed a lot more people. I've been meaning to ask you:

Is Brazil (312000 dead), Mexico (202000 dead) and the UK (127000 dead) also faking their numbers (keep in mind all three have public healthcare systems)? Also, if the half a million+ figure in the US is wrong, what's the real number? How many have the virus actually killed in the US? 50K? 450K?

..............................................

In other news, who knew the Amish were followers of actual science (rather than the pseudo-science being pushed by Gates, Fauci et al.)?

Amish community in Pennsylvania becomes first in US to achieve herd immunity after reopening churches led to 90% of households being infected with the virus last year

By Associated Press
Published: 09:18 EDT, 28 March 2021

- The Plain community in Lancaster County has become the 'first to achieve herd immunity,' according to a local administrator of a medical center in the area
- Allen Hoover of the Parochial Medical Center said that 90% of households became infected with virus when they resumed church services late last spring
- As Hoover observed, faith in herd immunity prompted members of community to relax on key mitigation efforts such as masking and social distancing


Certainly no vaccines needed for this Amish community.


You say this as if it's some grand revelation that just letting the virus rip can lead to herd immunity. Duh. The question is how long that immunity will last, and how many people died in the process.

Also, this kind of selective quoting without linking to the full story is dishonest as fuck. See how easy it is?

“Herd immunity is only true at a given point in time,” said Eric Lofgren, an infectious disease epidemiologist at Washington State University. “It’s not a switch that once it gets thrown, you’re good. It’ll wear off.”

This collision of science and personal experience could leave Lancaster County vulnerable just as county health officials seek to make progress vaccinating residents against COVID-19.

“You can have a long period where you think everything is OK, but you have this whole population that’s susceptible,” said David Lo, professor of biomedical sciences and senior associate dean of research at the University of California, Riverside.

Lo added, “All it takes is one person who’s contagious to give you this sudden outbreak.”

‘There’s a real risk of having an outbreak’

Hoover agreed with these epidemiologists
.

https://apnews.com/article/public-healt ... f3a6443a46


Of course herd immunity can wane over time. But what is hilarious to me is that the "scientists" you quoted simply assume that the immune protection conferred by new, never before tested gene therapies is somehow automatically superior to natural immunity based on nothing more than their ingrained and immutable belief that anything that is called a vaccine must always be an omnipotent magic talisman that is always by definition far more awesome than anything natural (and also far more awesome than any other potential medical intervention) that always lasts forever and can never do any harm.

Thus, by definition, vaccinated individuals always have to worry about the naturally immune even when any claims of any long term efficacy of any specific "vaccine" at protecting against transmission or even protecting against hospitalization are currently impossible. How is this almost universal bias scientific in any way, shape, or form?

Can anyone explain?
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Re: Coronavirus Crisis: Main Thread

Postby Belligerent Savant » Mon Mar 29, 2021 7:49 pm

.

There is no reasoning with zealots; their faith in the gods of Establishment Science is formidable. Ironic the level of faith involved, given how many of them are quick to frown upon zealotry in other faiths.

Not all doctors and scientists genuflect to this altar, of course. There are quite a few that acknowledge the benefits of natural/herd immunity. They generally get few grants/funding, though.

(therein is the other hidden truth: The Almighty Dollar as the Prime Mover, greater even then the god of establishment science..)

-------------


In that news story about the Amish community, they didn't start with a 'herd immunity' approach right out of the gates: it was a phased approach; when they felt the timing was right, they lifted their restrictions. Something that SHOULD have been done here/everywhere, but wasn't, for reasons that have nothing to do with well-being of populations. Lockdowns should have ended middle of last year at the latest.

I mean, do you truly believe these lockdowns are still ongoing because our respective leaders "CARE" so much about saving lives (that they're willing to ruin and end lives by enforcing mandates)? The entire premise is absurd on its face. Any reasoned, sober assessment of the actions taken will show how clearly disastrous they've been. There's already ample data available that showcase this virus has spread across cities and states REGARDLESS of how stringent lockdowns have been -- the lockdowns have NOT WORKED. They were never intended to "work" as advertised.

Also:
When I reference the misleading covid death tallies, I am referring to the CDC guidelines. My understanding is that other nations are working off the guidelines put forth by the CDC.
I shared this article on another thread, but here's a few excerpts applicable to this topic:

Covid is the umbrella label for PCR “positive” people regardless of clinical presentation. Most are “asymptomatic,”some have generic cold/flu symptoms, and a few present with moderate or severe respiratory distress. Unfortunately, the PCR assays being used for diagnosis, are not fit for purpose. Most PCR assays are constructed based on the German Drosten et al. protocol.

On November 27th 2020, 22 scientists submitted a request for retraction of this protocol which was published in the journal Eurosurveillance, citing a number of fatal design flaws.

It is also important to note, despite SarsCov2 virus and the syndrome labelled as Covid being used interchangeably, causation has not been proven as per Koch’s postulates.

The first metric which every medical doctor must convey to a person is how deadly Covid actually is. This is context for the legal and ethical practice of informed consent.

Incidentally, all Covid death stats are inflated: under direction of the WHO, deaths ‘from” and incidentally “with” Covid are not distinguished. Death coding has changed compared to Influenza/Pneumonia. According to one published analysis, this has resulted in over 16 times inflation of death stats, as supported by CDC data.

Image

Furthermore, Infection Fatality Rate (IFR) stats based on seroprevalence antibody studies are also inflated since T-cell immunity, is not measured in these studies. This may result in a 3-5X lower IFR for Covid. Regardless, the general IFR is on order of the seasonal influenza, approx. 0.2%.

Covid mortality is a reflection of increased mortality with age, more so than influenza/pneumonia of previous years. The median age of Covid deaths (86) exceeds average life expectancy in Canada. Tragically, 70% of the deaths in the province of Ontario took place in care homes. The mortality rate from Covid in Canada under 59 years of age is 0.0017%.

According to the CDC, the survival from Covid (with inflated stats) is as follows: (under 20) 99.997%, (29-49) 99.98%, (50-69) 99.5% and (over 70), 94.6%.


https://off-guardian.org/2021/02/22/syn ... -analysis/

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Re: Coronavirus Crisis: Main Thread

Postby Belligerent Savant » Mon Mar 29, 2021 11:15 pm

.


the CDC is losing the script: impending doom

my science does not end where your fear begins

Today, Dr Rochelle Walensky went on CNBC to “lose the script” and speak about her “recurring feeling of impending doom.” she said “right now, i’m scared.” this was all driven by “the case numbers.”

Image

well, it’s been a minute since i looked at this in any detail, so this fearful admonition made me wonder just what data dr walensky was seeing to cause such trepidation and to very nearly bring the CNBC money-bunny who was reporting on this to tears.

as many of you may know, the covid tracking project stopped publishing data in early march and this has made good US data for testing levels and case counts trickier to come by in workable form. fortunately, being a friendly gato with high functioning data hawk pals, i happen to know some folks who are pulling all the same state data that the CTP used to and are aggregating it in the same fashion. so i pulled their data.

as many of you who know me from the last year know, i’m a real stickler on a key point of covid data: reporting case counts without adjusting for testing level is tantamount to lying. this is stats 101 stuff and the fact that it is still rife is beyond bewildering. no one can still not get this fact. it’s being done on purpose and it turns the data into gibberish

sample rate matters. consider a simple example: counting red cars on the highway. let’s say that 10% of cars are red. a million cars drive by. we expect 100k red ones. but we cannot count them all. say we count 10,000. we get 1000 red ones. 10%! great. our count is working. let’s say we up our sample rate to 20,000 over the same group of cars. now we get 2000 red ones. you’d need to be a fool to mistake that for the number of red cars doubling. it’s just the same 10% sampled at twice the rate. but this is EXACTLY what US public health officials and media outlets have been doing with case reporting. we did 116k tests on march 31 2020. we were up to 2.3 million by december 18th. comparing that raw data is meaningless until you adjust for that differential. we need an adjustment to normalize the sampling rate. so i started publishing one. let’s pick up where i left off:

Image

here we are today. this data is through march 27th and all trailing data is normalized to that day’s testing level so it can all be compared. one can easily see that this mirrors the % positive rate on tests quite closely.

Image

one can also see that there is no uptick. in fact, we’re very near the lows since covid began and are essentially flat for about a month. this is a very interesting data outcome because it was, in fact, predicted by my longtime pal @Hold2LLC who has done quite a lot of work on hope-simpson seasonality.

he made an interesting discovery. when you take this chart of seasonal flu by latitude:

Image

and you combine the 2 northern regions to mirror the US, you get this:

Image

he published this in dec/jan. it predicted a basically flat march and after a sharp feb drop which has been just what we got. it also predicts another big drop in april. so that will provide a nice forward test of the predictive power of this model.

a possible confound is that the PCR testing modality we’re using looks to have a significant false positive and non-clinical positive rate. it has struggled to stay under 4% in the past. so, it’s possible we’re hitting a positivity floor based on flaws in the test.

Image

we see the same trend in CDC hospital reporting for emergency room visits. feb drop, mar plateau. this may provide a good check in april as well.

but, at the risk of being contrary, i fear that dr walensky may, indeed, have lost the script. there is just nothing scary here at this time. this sort of irresponsible fear mongering has no place in public health when the data so clearly fails to support it. if rochelle finds this frightening, i fear that perhaps she is not up to handling an actual crisis. this is exactly how one erodes what little faith people have in public health. it really needs to stop. this is not the way to generate public trust, confidence, or encourage willing compliance. this is how you alienate everyone and make them think you’re misleading them or are simply way over your head in a role you cannot manage. the CDC needs to do better than this if they expect to ever be taken seriously in the future.



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Re: Coronavirus Crisis: Main Thread

Postby DrEvil » Tue Mar 30, 2021 11:42 am

stickdog99 » Mon Mar 29, 2021 8:04 pm wrote:
DrEvil » 29 Mar 2021 15:00 wrote:
Belligerent Savant » Mon Mar 29, 2021 1:37 am wrote:.

The point of posting the video was to showcase how less than a year ago it seemed to be an "impossibility" (due in no small part to the hatred of the sitting President at the time). Yet here we are. Mass distribution of vaccines for populations at large -- no need for extensive trials, according to the experts.


One guy voicing his skepticism (a philosopher and bioethicist without a medical degree) doesn't make an "impossibility", and the notion that it would be so because Trump was in the White House is silly.


To be clear, I never claimed the vaccines would likely cause imminent death. Only that it has. AND that long-term negative impact to health are currently NOT KNOWN.


Again, exactly the same as the virus, which so far has killed a lot more people. I've been meaning to ask you:

Is Brazil (312000 dead), Mexico (202000 dead) and the UK (127000 dead) also faking their numbers (keep in mind all three have public healthcare systems)? Also, if the half a million+ figure in the US is wrong, what's the real number? How many have the virus actually killed in the US? 50K? 450K?

..............................................

In other news, who knew the Amish were followers of actual science (rather than the pseudo-science being pushed by Gates, Fauci et al.)?

Amish community in Pennsylvania becomes first in US to achieve herd immunity after reopening churches led to 90% of households being infected with the virus last year

By Associated Press
Published: 09:18 EDT, 28 March 2021

- The Plain community in Lancaster County has become the 'first to achieve herd immunity,' according to a local administrator of a medical center in the area
- Allen Hoover of the Parochial Medical Center said that 90% of households became infected with virus when they resumed church services late last spring
- As Hoover observed, faith in herd immunity prompted members of community to relax on key mitigation efforts such as masking and social distancing


Certainly no vaccines needed for this Amish community.


You say this as if it's some grand revelation that just letting the virus rip can lead to herd immunity. Duh. The question is how long that immunity will last, and how many people died in the process.

Also, this kind of selective quoting without linking to the full story is dishonest as fuck. See how easy it is?

“Herd immunity is only true at a given point in time,” said Eric Lofgren, an infectious disease epidemiologist at Washington State University. “It’s not a switch that once it gets thrown, you’re good. It’ll wear off.”

This collision of science and personal experience could leave Lancaster County vulnerable just as county health officials seek to make progress vaccinating residents against COVID-19.

“You can have a long period where you think everything is OK, but you have this whole population that’s susceptible,” said David Lo, professor of biomedical sciences and senior associate dean of research at the University of California, Riverside.

Lo added, “All it takes is one person who’s contagious to give you this sudden outbreak.”

‘There’s a real risk of having an outbreak’

Hoover agreed with these epidemiologists
.

https://apnews.com/article/public-healt ... f3a6443a46


Of course herd immunity can wane over time. But what is hilarious to me is that the "scientists" you quoted simply assume that the immune protection conferred by new, never before tested gene therapies is somehow automatically superior to natural immunity based on nothing more than their ingrained and immutable belief that anything that is called a vaccine must always be an omnipotent magic talisman that is always by definition far more awesome than anything natural (and also far more awesome than any other potential medical intervention) that always lasts forever and can never do any harm.

Thus, by definition, vaccinated individuals always have to worry about the naturally immune even when any claims of any long term efficacy of any specific "vaccine" at protecting against transmission or even protecting against hospitalization are currently impossible. How is this almost universal bias scientific in any way, shape, or form?

Can anyone explain?


Your hyperbole about vaccines got old about ten hyperboles ago. No one ever said they're perfect because they're not. The question is simple: which way will kill the most people? Immunity by virus or immunity by vaccine? If the answer is 'vaccine', then you go with the vaccine, and right now the death toll of the virus far outweighs the death toll of the vaccines.
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Re: Coronavirus Crisis: Main Thread

Postby stickdog99 » Tue Mar 30, 2021 4:03 pm

It's very telling to me that you totally side-stepped the actual issue I raised. On what current basis can we assume that the immunity conferred mRNA instructions to our cells to create spike proteins exceeds the natural immunity of being exposed to COVID-19?

If you are in a high risk (over 60) group, it makes perfect sense to me that you might rather take your chances with the experimental vaccines rather than COVID-19. The very incomplete and very short-term data currently available about the mRNA "vaccines" look promising at this point. My concern is that we have not set up any large scale systems to even try to accurately track the long-term efficacy or safety profile of each individual experimental emergency vaccine. Do you share my concern about this lack of data collection?
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Re: Coronavirus Crisis: Main Thread

Postby stickdog99 » Tue Mar 30, 2021 4:05 pm

https://www.nber.org/papers/w28304

We adopt a time series approach to investigate the historical relation between unemployment, life expectancy, and mortality rates. We fit Vector-autoregressions for the overall US population and for groups identified based on gender and race. We use our results to assess the long-run effects of the COVID-19 economic recession on mortality and life expectancy. We estimate the size of the COVID-19-related unemployment shock to be between 2 and 5 times larger than the typical unemployment shock, depending on race and gender, resulting in a significant increase in mortality rates and drop in life expectancy. We also predict that the shock will disproportionately affect African-Americans and women, over a short horizon, while the effects for white men will unfold over longer horizons. These figures translate in more than 0.8 million additional deaths over the next 15 years.

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Re: Coronavirus Crisis: Main Thread

Postby stickdog99 » Tue Mar 30, 2021 4:12 pm

https://www.wsj.com/articles/covid-19-r ... 1615987388

Covid-19 Restrictions May Have Led to Rise in Child Deaths in South Asia

Lockdowns may have contributed to deaths by cutting off essential services, report says

The same Covid-19 lockdowns that may have saved lives in South Asia last year may have contributed to a jump in deaths of young children by cutting off essential services, a new report said.

In 2019, South Asia recorded the deaths of 1.4 million children under the age of five, according to a report released Wednesday by Unicef. Last year, such deaths may have climbed by an additional 228,000 as the pandemic made access to medical care and food difficult.

Also, an additional 11,000 pregnant women may have died due to limited access to medical care in India, Nepal, Pakistan, Afghanistan, Sri Lanka and Bangladesh, according to the report, which was supported by the World Health Organization and the United Nations Population Fund.

“The generally restrictive measures taken to mitigate the Covid-19 outbreak have contributed to more deaths,” said Dr. Atnafu Getachew Asfaw, who led development of the report, which pulled national health data comparing people accessing essential services before and during the pandemic.
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Re: Coronavirus Crisis: Main Thread

Postby stickdog99 » Tue Mar 30, 2021 4:26 pm

https://www.haaretz.com/israel-news/doc ... -1.9587384

In fact, the peak of the COVID pandemic occurred in Israel not in 2020 but in January and February 2021. In January alone, 5,378 people died in Israel of all causes, a 17-percent increase over a year earlier. There are no data yet for February.
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Re: Coronavirus Crisis: Main Thread

Postby stickdog99 » Tue Mar 30, 2021 4:28 pm

https://www.city-journal.org/death-and-lockdowns

Death and Lockdowns
There’s no proof that lockdowns save lives but plenty of evidence that they end them.

John Tierney
March 21, 2021

Now that the 2020 figures have been properly tallied, there’s still no convincing evidence that strict lockdowns reduced the death toll from Covid-19. But one effect is clear: more deaths from other causes, especially among the young and middle-aged, minorities, and the less affluent.

The best gauge of the pandemic’s impact is what statisticians call “excess mortality,” which compares the overall number of deaths with the total in previous years. That measure rose among older Americans because of Covid-19, but it rose at an even sharper rate among people aged 15 to 54, and most of those excess deaths were not attributed to the virus.

Some of those deaths could be undetected Covid-19 cases, and some could be unrelated to the pandemic or the lockdowns. But preliminary reports point to some obvious lockdown-related factors. There was a sharp decline in visits to emergency rooms and an increase in fatal heart attacks due to failure to receive prompt treatment. Many fewer people were screened for cancer. Social isolation contributed to excess deaths from dementia and Alzheimer’s.

Researchers predicted that the social and economic upheaval would lead to tens of thousands of “deaths of despair” from drug overdoses, alcoholism, and suicide. As unemployment surged and mental-health and substance-abuse treatment programs were interrupted, the reported levels of anxiety, depression, and suicidal thoughts increased dramatically, as did alcohol sales and fatal drug overdoses. The number of people killed last year in motor-vehicle accidents in the United States rose to the highest level in more than a decade, even though Americans did significantly less driving than in 2019. It was the steepest annual increase in the fatality rate per mile traveled in nearly a century, apparently due to more substance abuse and more high-speed driving on empty roads.

The number of excess deaths not involving Covid-19 has been especially high in U.S. counties with more low-income households and minority residents, who were disproportionately affected by lockdowns. Nearly 40 percent of workers in low-income households lost their jobs during the spring, triple the rate in high-income households. Minority-owned small businesses suffered more, too. During the spring, when it was estimated that 22 percent of all small businesses closed, 32 percent of Hispanic owners and 41 percent of black owners shut down. Martin Kulldorff, a professor at Harvard Medical School, summarized the impact: “Lockdowns have protected the laptop class of young low-risk journalists, scientists, teachers, politicians and lawyers, while throwing children, the working class and high-risk older people under the bus.”

The deadly impact of lockdowns will grow in future years, due to the lasting economic and educational consequences. The United States will experience more than 1 million excess deaths in the United States during the next two decades as a result of the massive “unemployment shock” last year, according to a team of researchers from Johns Hopkins and Duke, who analyzed the effects of past recessions on mortality. Other researchers, noting how educational levels affect income and life expectancy, have projected that the “learning loss” from school closures will ultimately cost this generation of students more years of life than have been lost by all the victims of the coronavirus.

After the pandemic began in March, the number of excess deaths in the United States rose for all American adults. During the summer, as the pandemic eased, the rate of excess mortality declined among older Americans but remained unusually high among young adults. When statisticians at the Centers for Disease Control totaled the excess deaths for age groups through the end of September, they reported that the sharpest change—an increase of 26.5 percent—occurred among Americans aged 25 to 44.

That trend persisted through fall, and most of the excess deaths among younger people were not linked to the coronavirus, as researchers from the University of Illinois found by analyzing excess deaths from March through the end of November. Among Americans aged 15 to 54, there were roughly 56,000 excess deaths, of which about 22,000 involved Covid-19, leaving 34,000 from other causes. The Canadian government also reported especially high mortality among Canadians under 45: nearly 1,700 excess deaths from May through November, with only 50 of those deaths attributed to Covid-19.

“We don’t know exactly why, but a lot of adults were dying last year who would not have ordinarily died, and it wasn’t just because of Covid,” says Sheldon H. Jacobson, one of the Illinois researchers. “It’s possible that some of the Covid-19 deaths were undercounted, but there were many deaths due to other causes. Shutdowns certainly caused mental health issues, and a lot of preventive medical treatments were delayed.”

The lockdowns may also have saved some lives, but there’s still no good evidence. When the 50 states are ranked according to the stringency of their lockdown restrictions, you can see one obvious pattern: the more restrictive the state, the higher the unemployment rate. But there’s no pattern in the rate of Covid-19 mortality. International comparisons yield similar results. One shows that countries with more stringent lockdowns tend to have slightly higher levels of Covid-19 mortality. Another suggests that European countries with stricter lockdowns have performed worse economically while also suffering higher rates of excess mortality.

It’s true, as lockdown proponents argue, that many factors could confound these broad comparisons. Some places are more vulnerable to Covid-19 because of geographic and demographic variables, and so may be more likely to impose lockdowns in response to a surge. But other methods of measuring the effects of lockdowns have also been inconclusive. Some researchers reported early in the pandemic that lockdowns slowed viral spread and reduced mortality, but those conclusions were based on mathematical models with widely varying—and sometimes quite dubious—assumptions about what would have happened without lockdowns.

Meantime, more than two dozen studies have challenged the effectiveness of lockdowns, relying mainly not on mathematical models but on trends in Covid-19 cases and deaths. Studies have repeatedly shown that school closures have little or no impact on viral spread and mortality. By comparing regions and countries, researchers have found that trends in infections were similar regardless of whether there were mandated business closures or stay-at-home-orders.

It seems intuitively obvious that lockdowns would save lives by reducing social interactions and therefore the spread of the virus, but there are other consequences. Lockdowns force people to spend more time indoors, where viruses spread more easily. By preventing younger people from socializing and being exposed to the virus, a lengthy lockdown slows the build-up of herd immunity in this low-risk population, so eventually the virus may infect and kill more vulnerable older people.

Last spring and summer, public-health officials attributed California’s low rate of Covid-19 mortality to its stringent lockdown policies, and they predicted disaster for Florida, which reopened early and has remained one of the least-restrictive states. But California’s lockdowns didn’t prevent a severe outbreak in the winter. While the state’s Covid-19 mortality rate remains slightly below the national average, its overall rate of excess mortality since the pandemic began is well above the national average. In Florida, by contrast, the rate of excess mortality is below the national average and significantly below California’s, especially among younger adults.

Public-health officials widely denounced Sweden for refusing to lock down and mandate masks last spring, when its Covid-19 mortality was high. A computer model projected nearly 100,000 Swedish deaths from the virus last year. But that prediction turned out to be ten times too high, and other countries have since caught up with Sweden. While it suffered another outbreak this winter, mainly in regions that were not hit hard in the spring, Sweden’s cumulative death toll per capita from Covid-19 is now slightly below the European Union’s average and about 20 percent lower than America’s.

When it comes to preventing excess deaths, Sweden has done at least as well as the rest of Europe or better, depending how one calculates. To determine excess mortality, statisticians first define the baseline for a “normal” number of deaths in each country. This can be done by extending the mortality trend of the previous years or by taking an average of past mortality rates, with adjustments for the changing age structure of the population. The CDC’s method, for instance, shows 18 percent more deaths than normal last year in America, while other methods put the figure at 13 percent. It’s debatable which measure is better, but as long as any single method is applied consistently everywhere, it can gauge how one place has fared relative to another.

A group of researchers in Israel and Germany calculates that there have been 11 percent more deaths than normal in Sweden since the pandemic began, which is slightly lower than the median among European countries. Statisticians at the Economist also rank Sweden’s excess mortality slightly lower than the European median since the pandemic began. A team at Oxford University, which counted deaths for all of 2020, calculates that Sweden’s rate of excess mortality last year was just 1.5 percent, which was lower than two-thirds of the countries in Europe.

By any measure of excess mortality, Sweden has fared much better than countries with especially strict lockdowns and mask mandates, like the United Kingdom, Spain, and Portugal. It hasn’t done as well as Norway and Finland, where mortality has been no higher than normal (and below normal, by some calculations). Critics have often noted this disparity as an argument against Sweden’s approach. But the problem with this “Neighbor Argument,” as Oxford’s Paul Yowell calls it, is that the neighbors have followed policies like Sweden’s for most of the pandemic.

Norway and Finland were stricter than Sweden in the spring, when they quickly imposed border controls and closed schools and some businesses. But they also reopened quickly and during the rest of the year ranked among the least restrictive countries in Europe. All three Nordic countries have imposed on-and-off restrictions in some areas during outbreaks this winter, but they have avoided extended national lockdowns and other strict measures. Finland recently mandated masks on public transportation, but Norway and Sweden still merely recommend it for commuters; otherwise, they remain among the few countries in Europe without mask mandates. In all three countries, businesses and schools have remained open most of the past year, and relatively few people have worn masks on the streets or in stores, offices, or classrooms.

Sweden’s higher rate of mortality among the Nordics may be related to the greater number of international travelers arriving there last year, due partly to its looser border-control policies and partly to its larger population of immigrants. Another explanation for last year’s high mortality rate is what researchers call the “dry tinder” factor: the previous flu seasons in Sweden had been exceptionally mild, leaving an unusually large number of frail elderly people who were especially vulnerable to Covid-19. (This same factor contributed to the high death toll last year in the United States, where flu mortality had also been low the previous two winters.) If you compensate for this factor by averaging mortality in Sweden over 2019 and 2020, the age-adjusted mortality rate is about the same as during the previous few years.

The three Nordic countries have all done much better than the United States in preventing excess deaths, and there’s one especially troubling difference: the rate of excess mortality among younger people. That rate soared last year among Americans in lockdown, but not among the Swedes, Norwegians, and Finns, who kept going to school, working, and socializing without masks during the pandemic. In fact, among people aged 15 to 64 in each of the Nordic countries, there have been fewer deaths than normal since the pandemic began.

The lockdowns in America exacted a toll on people of all ages because excess deaths not attributed to Covid-19 also occurred among the elderly. Some were doubtless due to undetected Covid-19 infections—particularly early in the pandemic, when tests were not widely available. However, there was probably also some overcounting (the CDC permitted states to count a death as Covid-related without a test if it was deemed the “probable cause”). Whatever the direction of the errors, there were clearly many excess deaths not caused by the virus. The CDC counted about 345,000 deaths last year in which Covid-19 was the “underlying cause.” Even if you add the deaths in which the virus was a “contributing cause,” bringing the total to nearly 380,000, that accounts for only three-quarters of the excess mortality. Given that the total number of excess deaths, by the CDC’s calculation, was about 510,000 last year, that leaves more than 130,000 excess deaths from other causes.

How many of those 130,000 people in America were killed by lockdowns? No one knows, but the number is surely large, and the toll will keep growing this year and beyond. Those deaths won’t make many headlines, and the media won’t feature them in charts like the ones comparing the coronavirus death toll to past wars. But these needless deaths are the greatest scandal of the pandemic. “Lockdowns are the single worst public health mistake in the last 100 years,” says Dr. Jay Bhattacharya, a professor at Stanford Medical School. “We will be counting the catastrophic health and psychological harms, imposed on nearly every poor person on the face of the earth, for a generation.” He describes the lockdowns as “trickle-down epidemiology.”

Public-health officials are supposed to consider the overall impact of their policies, not just the immediate effect on one disease. They’re supposed to weigh costs and benefits, promoting policies that save the most total years of life, which means taking special care to protect younger people and not divert vast resources to treatments for those near the end of life. They are not supposed to test unproven and dangerous treatments by conducting experiments on entire populations.

Sweden and Florida followed these principles when they rejected lockdowns and trusted their citizens to take sensible precautions. That trust has been vindicated. The lockdown enforcers made no effort to weigh the costs and benefits—and ignored analyses showing that, even if the lockdowns worked as advertised, they would still cost more years of life than they saved. During the spring, panicked officials claimed the lockdowns were a temporary measure justified by projections that hospitals would be overwhelmed. But then the lockdowns continued long after it became clear that the projections were wildly wrong.

If a corporation behaved this way, continuing knowingly to sell an unproven drug or medical treatment with fatal side effects, its executives would be facing lawsuits, bankruptcy, and criminal charges. But the lockdown proponents are recklessly staying the course, still insisting that lockdowns work. The burden of proof rests with those imposing such a dangerous policy, and they haven’t met it. There’s still no proof that lockdowns save any lives—let alone enough to compensate for the lives they end.
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Re: Coronavirus Crisis: Main Thread

Postby stickdog99 » Tue Mar 30, 2021 5:32 pm

https://www.wlns.com/news/health/corona ... n-the-u-s/

Lansing, Mich. (WLNS) — Michigan accounts for 15% of all new B.1.1.7 variant cases in the U.S., according to Dr. Sarah Lyon-Callo, director of the Bureau of Epidemiology and Population Health at Michigan Department of Health and Human Services.

The Centers for Disease Control is reporting 4,686 new cases of the COVID-19 variant, B.1.1.7.

Lyon-Callo said Michigan has now recorded 725 confirmed cases of the new variant.

The variant has been found in 31 counties in both peninsulas; more than half of those come from an outbreak within the state prison system.
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Re: Coronavirus Crisis: Main Thread

Postby stickdog99 » Tue Mar 30, 2021 5:38 pm

https://www.cidrap.umn.edu/news-perspec ... tter-b1351

...

The researchers said that it's important to evaluate different strains' antibodies to virus variants using authentic clinical viral isolates, as they did, rather than with lab-engineered pseudoviruses, which most previous studies have used. They called for larger studies of vaccinees with and without previous COVID-19 infections and longer follow-up periods to better characterize the role of immune responses after vaccination.

"Our study also highlights the importance of the second dose of the Pfizer Cominarty [sic] vaccine, which was associated with a strong increase of neutralizing antibody titers and a widening of strain cross-reactive antibody responses," the authors wrote. "In conclusion, our results demonstrate that suboptimal or declining antibody responses are associated with a loss of cross-reactivity against novel emerging viral strains."
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Re: Coronavirus Crisis: Main Thread

Postby stickdog99 » Tue Mar 30, 2021 5:42 pm

https://www.genengnews.com/news/sars-co ... ntibodies/

Data from Ho’s study about the loss in neutralizing activity against the South Africa variant are more worrisome. “The drop in neutralizing activity against the South Africa variant is appreciable, and we’re now seeing, based on the Novavax results, that this is causing a reduction in protective efficacy,” Ho said. The company reported on January 28 that the vaccine was nearly 90% effective in the company’s U.K. trial, but only 49.4% effective in its South Africa trial, where most cases of COVID-19 are caused by the B.1.351 variant.

The new study did not examine the more recent variant found in Brazil (B.1.1.28) but given the similar spike mutations between the Brazil and South Africa variants, Ho said the Brazil variant should behave similarly to the South Africa variant.

They argue that SARS-CoV-2 is mutating in a direction that may cause it to evade current interventions that are directed against the viral spike protein. “Our study and the new clinical trial data show that the virus is traveling in a direction that is causing it to escape from our current vaccines and therapies that are directed against the viral spike,” said Ho.

“If the rampant spread of the virus continues and more critical mutations accumulate, then we may be condemned to chasing after the evolving SARS-CoV-2 continually, as we have long done for influenza virus,” Ho explained. “We have to stop the virus from replicating and that means rolling out vaccine faster and sticking to our mitigation measures like masking and physical distancing. Stopping the spread of the virus will stop the development of further mutations.”
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Re: Coronavirus Crisis: Main Thread

Postby Belligerent Savant » Tue Mar 30, 2021 7:00 pm

.

https://sebastianrushworth.com/2021/03/ ... -deadlier/



Is the new covid variant deadlier?

An article was recently published in the British Medical Journal that reported on a matched cohort study which compared the risk of dying for those infected with the new British variant (a.k.a. B.1.1.7) and those infected with the older covid variants.

A matched cohort study is a type of observational study where you take a group of people with some condition and then try to find a similar group without the condition to match against. Then you follow the two cohorts over time and see if they differ in some meaningful outcome (like death). Since it is an observational study, it can only show correlation. It can’t prove the existence of a cause and effect relationship, but that doesn’t stop many people acting like it does.

The article has resulted in fear-mongering headlines in news media around the world. Just to take the first example I could find, Al-Jazeera published an article with the headline: “UK variant up to 100% deadlier more deadly, study finds”.

Those darn studies, they’re always finding things. It’s like a never-ending game of whack-a-mole. You knock one down here, and another one pops up over there. Anyway, let’s look in to the study some detail, and see if the claim is true.

There were two criteria that had to be fulfilled for a person to be included in the study. They had to have a PCR-test positive for covid at some point between the beginning of October 2020 and the end of January 2021. And they had to be over 30 years old. The authors don’t provide any reason for the second criterion. The only reason I can see for removing people under the age of 30 is that they pretty much never die when they get covid, and including them would therefore have resulted in less impressive mortality numbers, which would have made it a little bit harder to use the results as part of public fear mongering campaigns.

In the UK, the PCR test currently in use is based on three reading frames. In other words, three separate pieces of viral RNA are sought. The B.1.1.7 variant has some variations in its genetic code that cause one of these reading frames to turn up a negative result. This is useful, because a problem with doing a big study like this and comparing mortality rates for different viral variants is that most people don’t actually get their infections gene-sequenced. So all you have to work with in most cases is a PCR test. But the fact that the B.1.1.7 variant has this oddity, that one of the three reading frames turns up a negative result, means that it can be identified through PCR with pretty good accuracy. No gene sequencing necessary.

So, what the researchers did was to put everyone with a covid diagnosis in which the other two reading frames were positive, but this specific reading frame was negative, in to one cohort, the “B.1.1.7 variant” cohort. Those who had all three reading frames turn up positive were put in the other, “old variants”, cohort.

Now, as mentioned, a cohort study is a type of observational study, and observational studies are rife with confounding factors that mess up the results. In order to minimize this problem as much as possible, the researchers went through and matched each person in the new variant cohort to a similar person in the old variant cohort. The cohorts were matched on date of testing, in order to deal with potential biases caused by one person for example getting tested during the covid peak, when hospitals were overstretched, while the matched person in the other cohort got tested at a time point when nurses actually had time to fluff their pillows. The cohorts were also matched on geographical location, age, gender, and ethnicity.

The endpoint that the researchers chose to look at was death within 28 days. This is a very problematic end point, that will tend to overestimate mortality due to covid. Basically, anyone who had a positive covid test and who then died with the next 28 days was counted as a covid death. Even if they got hit by a bus. Apart from overestimating the covid death rate, this could also muddy the results of the study, making it harder to see a real difference in mortality between the new variant and the older variants, if such a difference does exist. Why they chose to do this rather than actually looking at death certificates, to see whether covid was listed as the cause of death or not, I really don’t understand.

Anyway, let’s get to the results.

54,906 people with the new covid variant were identified, and these were matched with 54,906 people with the older variants. Among those with the new variant, 227 patients died (0,41%). Among those with the old variants, 141 people died (0,26%).

So, the new variant does appear to be a little bit deadlier than the older variants, 0,15% deadlier to be precise. To put this in perspective, for every 700 people who develop covid due to the new variant, you can expect one extra death, as compared with getting covid due to the older variants.


You could of course, like the mass media do, focus on relative risk, and say that the new variant is 61% deadlier, or “up to 100% deadlier” as Al-Jazeera state in their headline (based on looking at the upper end of the confidence interval), but in this instance, looking at the absolute risk gives a much clearer understanding of how deadly the new variant actually is, don’t you think?

One should of course always remember that this is an observational study, and although the researchers have done their best to get rid of confounding factors, it is still possible that the increased mortality rate seen here is due to some unknown confounder, and not due to the new variant itself.

The thing that strikes me most about the results of this study is not the fact that the new variant seems to be a bit more deadly than the old variants, but how un-deadly this study clearly shows that covid is. We have to remember that this study only included people who actually took a PCR test. According to the eminent Dr. Anthony Fauci, 40-45% of covid infections are asymptomatic. Obviously, people who are asymptomatic are for the most part not going to get a PCR test (unless they get caught through contact tracing, but this likely only catches a small proportion of asymptomatic infections). And equally obviously, people with asymptomatic infections aren’t going to die of covid. So, although this study found a fatality rate of 0,41% for the new variant, and 0,26% for the old variants, the real fatality rate is likely considerably lower.

That is especially true if we also factor in that this study excluded people under the age of 30, and counted every death within 28 days of a positive covid test as a covid death. Both of those factors would push the fatality rate down further if factored in. So this study, funnily enough, adds to the existing evidence that the infection fatality rate for covid has been grossly overstated.

To be fair, the proportion of participants over the age of 80 in the study is low, only 0,5%, compared with 3% in the UK population as a whole, which will push the fatality rate in the opposite direction. Whether excluding everyone under the age of 30 (constituting 25% of the UK population) or only having 0,5% of participants be over the age of 80 (when they constitute 3% of the UK population) has the bigger impact on the overall fatality rate in the study, is hard to say. But it raises another interesting point. The mortality rate in the 80+ group in the study is 100-fold higher than it is among the people aged 30-59 (12%, or one in nine people, as compared to 0,12%, or one in 900 people). This is in line with earlier studies that have shown that the risk of dying rises steeply as people reach an advanced age.

As always, the devil is in the details. So, what can we conclude from this study?

The B.1.1.7 variant does appear to be a little deadlier than the older variants, increasing the risk of dying for the average person who gets a symptomatic infection by a marginal amount (0,15% to be precise).

However, the main take-away from this study is that the infection fatality rate, even with the new variant, is very low for most people. I think a more reasonable title for Al-Jazeera’s article about this study would have been “Covid much less deadly than everyone thinks, study finds”.


About the author:
I work as a junior physician in Stockholm, Sweden. I studied medicine at Karolinska Institutet and graduated in January 2020.

My main interest is the prevention of chronic disease. So much of what doctors do is treating chronic diseases that could easily have been avoided with simple measures. What a waste.

I am a strong believer in evidence based medicine, in other words, that medical diagnosis and treatment should be guided by the best available evidence, and I am also a strong believer in the power of science to advance our knowledge about health and medicine.

Unfortunately, much of what is written on the internet about health and medicine is misinformation. And most official government health recommendations are wrong, invented out of thin air in the 60’s an 70’s, and now apparently written in stone, so that they seemingly cannot be changed even as ever more evidence mounts showing that they frequently do more harm than good.

My goal is to counter the misinformation by getting correct, scientifically sound, evidence based information out to as many people as possible.

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Re: Coronavirus Crisis: Main Thread

Postby Grizzly » Thu Apr 01, 2021 11:42 am

Fauci, at the nation's first Jesuit university, on January 10, 2017: "there will be a surprise outbreak and pandemic in the time of the Donald Trump administration"



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Anthony Fauci, director of the National Institute of Allergy and Infectious Diseases (NIAID), warned members of the incoming Trump administration in January 2017 about the inevitability of a "surprise outbreak" of a new disease. He said at the time that the US needed to do more to prepare.

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Re: Coronavirus Crisis: Main Thread

Postby JackRiddler » Thu Apr 01, 2021 7:20 pm

.

This is evidence of nothing. It reinforces what the suckers at whom this video is aimed already believe. (Which still can be true, but the clip is not evidence for it in any way.) There are novel diseases and outbreaks of new unexpected stuff every year, and I bet we can both think of a few. SARS, MERS, ebola (including scares in U.S.), meningitis, avian flu, etc. His agency deals with these, so him saying he expects a surprise event is also promotional talk. If a Pentagon guy said 'this next president will be confronted with a surprise crisis in the international arena,' would you use it as evidence that he knows something specific is coming on a schedule? The key political point about Covid for me is in the responses, not that a new contagious disease broke out. (Which, again, could still conceivably be from a lab.)
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