I just wanted to share a couple posts about polls, the first is via POWERLINE:
It is an odd election season. Pretty much everyone thinks the Democrats are on their way to a crushing victory, yet it is hard to see why. A whopping 56% of Americans say they are better off now than they were four years ago, and President Trump draws large, enthusiastic crowds wherever he goes. Meanwhile, Joe Biden is a pale shell of his formerly buffoonish self. When Joe is able to get out of bed, his campaign schedules intimate invitation-only events. Supposedly this is because of COVID, but everyone knows it is really because he doesn’t want to be embarrassed by his inability to draw a crowd. Probably no one outside of Biden’s immediate family particularly wants him to be president.
So what is going on? One possibility is that the conventional wisdom is wrong. At TOWNHALL, Kevin McCullough, who has a pretty good record as an election forecaster, argues that we should believe our lying eyes:
To be exceedingly clear — I find no evidence of a Biden win outside of the media polls.
The candidates already know that the president is winning by a mile. President Trump can’t help but to continue to draw massive crowds (even while in the hospital.) Every weekend, in every state, in hundreds of cities bikers, truckers, boaters, horse and buggy people, and regular pedestrians are having larger and larger participation in various parades of support from Miami to Manhattan and from Beverly Hills to Capitol Hill. Meanwhile Biden has trouble getting more than a dozen to show up at a tour stop in Yuma. And we all know people who say “I didn’t vote for him then,” or “I wasn’t really sure about him in 2016,” who have converted to “I’ll crawl over broken glass to vote for him now.”
[….]
We can dream. Finally, here is McCullough’s predicted electoral map (the first graphic is his most updated prediction):
Not to pour cold water on a much-needed bit of optimism, but McCullough has Minnesota going for Trump. But it has been reported here that the Trump campaign has pulled all of its remaining television ads from Minnesota stations.
Mainstream media have been trumpeting a lot of the polls being for Joe Biden.
We’ve pointed out the problems of some of those polls and how there are the other polls, like the Democracy Institute poll, that find President Donald Trump ahead because they’re measuring likely voters not registered voters and they aren’t oversampling Democrats. Most are also not measuring things like the shy Trump voter or that the youth vote is again unlikely to come out in greater numbers.
But what’s missing in a lot of the discourse is that the measures apart from MSM national polls by which you judge whether a president will be reelected are all for Trump.
First there’s no indication of a youth voter surge, that’s bad for the Democrats who poll much higher with the young than other age groups.
Gallup has found whenever the incumbent has over 50%, he’s reelected.
Gallup also found that 56% Americans thought they were better off now than four years ago under Barack Obama and Joe Biden. A reporter asked Joe Biden about that, he got snippy and said that if people thought that they didn’t have to vote for him and that their memories were somehow wrong.
% of Americans who say they are better off now than they were 4 years ago
The important thing to note? How high that number is for Trump and that all the prior president in 2012, 2004, 1992, 1984 who even had lower numbers were reelected.
[….]
David Chapman did a great Twitter thread of some of the other historical measures.
“[N]o incumbent who has received at least 75% of the primary vote has lost re-election. Donald Trump received 94% of the primary vote, which is the 4th highest all-time. Higher than Eisenhower, Nixon, Clinton, and Obama.”
Oh, and it gets better.
“Three times in history America has faced a pandemic, recession, and civil unrest during an election year. The incumbent party is 3-0 in those elections,”
This tallies with the Helmut Norpoth prediction model that cites the importance of the primary numbers and also predicts a Trump win. People came out in droves for Trump in the primary when they didn’t even have to.
Want more? There’s more.
Every candidate who has led in voter enthusiasm since 1988 has won. Trump not only leads in voter enthusiasm, he leads by a lot, a 19 point enthusiasm gap….
What’s up with these celebrities and athletes weighing in on police shootings and buying the narrative that police are out killing black people just because they’re black? For example, LeBron James has been very vocal about the Black Lives Matter movement. This year, James did not win the Most Valuable Player award, and he gave a thoughtful response, saying voters may have embraced a “narrative” instead of “really watching the game of basketball.” Why didn’t he use this type of analysis to study police interactions with black people?
Armstrong and Getty go over some referenced materials regarding the The Vid (Covid-19). This material comes from the Swiss Policy Research: “FACTS ABOUT COVID-19” (30-bullet points added below video). Pretty amazing stuff.
According to the latest immunological studies, the overall lethality of Covid-19 (IFR) in the general population ranges between 0.1% and 0.5% in most countries, which is comparable to the medium influenza pandemics of 1957 and 1968.
For people at high risk or high exposure (including health care workers), early or prophylactictreatment is essential to prevent progression of the disease.
In countries like the UK (with lockdown) and Sweden (without lockdown), overall mortality since the beginning of the year is in the range of a strong influenza season; mortality is higher in the USA (comparable to 1957/1968), but lower in countries like Germany and Switzerland. However, antibody values are still low in large parts of previously locked-down Europe.
In most places, the risk of death for the healthy general population of school and working age is comparable to a daily car ride to work. The risk was initially overestimated because many people with only mild or no symptoms were not taken into account.
About 80% of all people develop only mild symptoms or no symptoms. Even among 70-79 year olds, about 60% develop only mild symptoms. About 95% of all people develop at most moderate symptoms and do not require hospitalization.
Up to 60% of all people may already have a partial T-cell immune response against the new coronavirus due to contact with previous coronaviruses (i.e. cold viruses). Moreover, up to 60% of children and about 6% of adults may already have cross-reactive antibodies.
The median age of Covid deaths in most Western countries is over 80 years – e.g. 84 years in Sweden – and only about 4% of the deceased had no serious preconditions. In contrast to flu pandemics, the age and risk profile of deaths thus essentially corresponds to normal mortality.
In many countries, up to two thirds of all extra deaths occurred in nursing homes, which do not benefit from a general lockdown. Moreover, in many cases it is not clear whether these people really died from Covid-19 or from weeks of extreme stress and isolation.
Up to 30% of all additional deaths may have been caused not by Covid-19, but by the effects of the lockdown, panic and fear. For example, the treatment of heart attacks and strokes decreased by up to 40% because many patients no longer dared to go to hospital.
Many media reports of young and healthy people dying from Covid-19 turned out to be false: many of these young people either did not die from Covid-19, they had already been seriously ill (e.g. from undiagnosed leukaemia), or they were in fact 109 instead of 9 years old. The claimed increase in Kawasaki disease in children also turned out to be exaggerated.
Most Covid-19 symptoms can also be caused by severe influenza (including pneumonia, thrombosis and the temporary loss of the sense of taste and smell), but with severe Covid-19 these symptoms are indeed much more frequent and more pronounced.
About 10% of symptomatic people develop so-called post-acute (“long”) Covid and report symptoms that last for several weeks or months. This may also affect younger and previously healthy people with a strong immune response to the new coronavirus.
The often shown exponential curves of “corona cases” are misleading, as the number of tests also increased exponentially. In most countries, the ratio of positive tests to tests overall (i.e. the positivity rate) always remained below 20%. In many countries, the peak of the spread was already reached well before the lockdown came into effect.
In most Covid hotspots, including New York City, London, Stockholm and Bergamo, the infection rate dropped as soon as about 20% of people had developed antibodies against the new coronavirus. This value is much lower than the inital estimate of 60 to 80%.
Countries without lockdowns, such as Japan, Belarus and Sweden, have not experienced a more negative course of events than many other countries. Sweden was even praised by the WHO and now benefits from higher immunity compared to lockdown countries. 75% of Swedish deaths happened in nursing facilities that weren’t protected fast enough.
The fear of a shortage of ventilators was unjustified. According to lung specialists, the invasive ventilation (intubation) of Covid-19 patients, which is partly done out of fear of spreading the virus, is in fact often counterproductive and damaging to the lungs.
The main routes of transmission of the virus are direct contact and droplets produced when talking or coughing, but also indoor aerosols (small particles floating in the air). Outdoor aerosols and surfaces of objects appear to play only a minor role.
There is still limited scientific evidence for the effectiveness of cloth face masks in the general population, and most countries with mandatory masks couldn’t contain or slow the epidemic. Some experts warn that face masks may interfere with normal breathing and may become “germ carriers” if used repeatedly.
Many clinics in Europe and the US remained largely underutilized during lockdowns and in some cases had to send staff home. Millions of surgeries and therapies were cancelled, including many cancer screenings and organ transplants.
At no time was there a medical reason for the closure of elementary schools, as the risk of disease and transmission in children is extremely low. There is also no medical reason for small classes, masks or ‘social distancing’ rules in elementary schools.
A global respiratory disease pandemic can indeed extend over several seasons, but many studies of a “second wave” are based on very unrealistic assumptions, such as a constant risk of illness and death across all age groups.
US nurses described an oftentimes fatalmedical mismanagement of Covid patients due to questionable financial incentives and inappropriate medical protocols. However, in many places Covid lethality has dropped significantly due to better treatment options.
The number of people suffering from unemployment, depression and domestic violence as a result of the measures has reached historic record levels. Several experts predict that the measures will claim far more lives than the virus itself. According to the UN 1.6 billion people around the world are at immediate risk of losing their livelihood.
NSA whistleblower Edward Snowden warned that the “corona crisis” may be used for the permanent expansion of global surveillance. In several parts of the world, the population is being monitored by drones and facing serious police overreach during lockdowns.
A 2019 WHO study on measures against pandemic influenza found that from a medical perspective, “contact tracing” is “not recommended in any circumstances”. Nevertheless, contact tracing apps have already become partially mandatory in several countries.
The origin of the new coronavirus remains unknown, but the best evidence currently points to a Covid-like 2012 pneumonia incident in a Chinese mine, whose viral samples were collected, stored and researched by the Wuhan Institute of Virology (WIV).
This is why many people call B.S. on the constant fear mongering by the media. These are just the ones I have posted on or are aware of… there is definitely more fudging to be had.
April 8th
April 19
April 23rd
Never underestimate the power of modern medicine! It seems that overnight, 201 people in PA who were supposed to be victims of the Chinese Wuhan Virus suddenly came back to life! A couple of days ago, PA Health Secretary Rachel Levine added 269 deaths to the Pennsylvania count, including 10 to the Franklin County number of zero, only to be almost immediately being called out by several County Coroners, Representative Rob Kauffman and State Senator Douglas Mastriano. It seems that almost none of the extra 269 cases were real or had been recorded and passed to the state from the Coroners, and the numbers were quickly revised today. Franklin County actually has reported its first death due to lagging test results, but not the 10 that were reported by the state. Lagging, assumed, or post-mortem testing results do account for 68 of the total number, but the 201 reported deaths on which the state had to backtrack are “still under investigation”.
It was indeed ironic that the fake numbers were released the day after a few thousand Pennsylvanians converged on the State Capitol to protest Governor Wolf’s draconian shutdown orders that are financially strangling our citizens. It’s pretty apparent that there are still many citizens who are easily driven to hysteria by a health scare, even an overhyped one, so no doubt the tyrannical Wolf saw this as a golden opportunity to keep the panic going. Wolf has been just one of a number of Democrat governors who have seized this opportunity to strangle our booming economy to hurt President Trump’s chances in an election year. With virus case and death numbers coming down nearly everywhere, you can bet that stunts like this from the Democrats will become more common. (CITADELPOLITICS | THE FRANKLIN COUNTY JOURNAL)
May 18th
The shocking inflation of COVID-19 death numbers: From day one, we were warned that states are ascribing every single death of anyone who happens to test positive for the coronavirus — even if they are asymptomatic — to the virus rather than the clear cause of death. Now, thanks to a lawsuit in Colorado, the state was forced to revise its death count down by 23 % over the weekend — from 1,150 to 878. The state is now publishing numbers of deaths “with” COVID-19 separate from deaths “from” COVID-19. As I reported on Thursday, county officials started accusing the state’s department of health of reclassifying deaths of those who tested positive for the virus but died of things like alcohol poisoning as COVID-19 deaths just to insidiously inflate the numbers. This revision in Colorado is a bombshell story that, of course, will remain unknown to most Americans. Every state needs to do this, and if they did, we would find an across-the-board drop in numbers by at least 25%, the same %age by which Dr. Birx reportedly believes the count is being inflated, according to the Washington Post. For example, in Minnesota, state officials are now admitting that every single person who dies in a nursing home after testing positive is now deemed to have died from the virus, never mind the fact that 25% of all natural deaths in a given week occur in nursing homes and that most cases of COVID-19 are asymptomatic, which means more often than not, they died exclusively of other causes. (CONSERVATIVE REVIEW)
May 25th
Gun shot victim counted as The Rona
On Thursday, the Washington State Department of Health (DOH) confirmed a report by the Freedom Foundation that they have included those who tested positive for COVID-19 but died of other causes, including gunshot injuries, in their coronavirus death totals. This calls into serious question the state’s calculations of residents who have actually died of the CCP pandemic.
The Freedom Foundation’s original report, based on DOH documents and statements provided to the Foundation, concluded that, of the 828 COVID-19 deaths reported as of May 8:
681 (82 percent) “list some variation of ‘COVID-19’ in one of the causes of death” on the death certificate;
41 (5 percent) of the death certificates do not list COVID-19 as a cause of death, but indicate it was a “significant condition contributing to death.”
106 (13 percent) deaths involved persons who had previously tested positive for COVID-19 but did not have the virus listed anywhere on their death certificate as either causing or contributing to death.
When asked about the Foundation’s report at a press conference Monday, Gov. Jay Inslee dismissed it as “dangerous,” “disgusting” and “malarkey.” He further accused the Freedom Foundation of “fanning these conspiracy claims from the planet Pluto” and not caring about the lives lost to COVID-19.
Yet DOH officials largely confirmed the main findings of the Foundation’s report in Thursday’s briefing.
…but now we have to account for faux-Covid-cases? There is a mental illness of “victim-hood” on the Left. From workplace complaints against people, to this stuff. After NBC News extensively followed its own on-air contributor Dr. Joseph Fair, the virologist and epidemiologist, for nearly a dozen interviews:
He, however, revealed he never had it. More via THE FEDERALIST:
…Fair however, had already tested negative for the virus at least five times according to Steve Krakauer of the Fourth Watch Newsletter and said this week his illness from two months ago “remains an undiagnosed mystery” following the results of a negative antibody test.
“I had myriad COVID symptoms, was hospitalized in a COVID ward & treated for COVID-related co-morbidities, despite testing negative by nasal swab,” Fair told followers on Twitter….
USA TODAY quotes Dr. Fair as saying this of his stay at the Tulane Medical Center in New Orleans:
“There were a lot of coronavirus-positive people in there,” he said. “What is really shocking to me is that I didn’t get the virus in there. As a virologist, that part blows my mind.”
So, did he have the common flu, like others, and were just treated/counted as Covid? THE DAILY CALLER finishes off their story thus:
….NBC News originally told viewers about the negative tests, but abandoned that part of the narrative as the story continued, according to Steve Krakauer’s “Fourth Watch” newsletter. During a June 14 interview with Chuck Todd on “Meet the Press,” no one noted that Fair had already tested negative at least five times, according to Krakauer.
“In the end, NBC’s viewers were left with two very alarming – and false – impressions,” Krakauer wrote. “First, that an expert virologist can take every precaution but can still catch COVID-19 through his eyes. False. Second, that tests can be so untrustworthy that you can have multiple negative tests and still have coronavirus.”
NBC News has not yet updated its May 14 article claiming the virologist got “coronavirus despite being in good health and taking precautions.” The network did not immediately respond to a request for comment from the Daily Caller.
“This pandemic is scary enough without this false storyline introduced into the news picture,” Krakauer added.
TOWNHALL connects with the “narrative” aspect of the media:
This is all so odd isn’t it and the ‘you have it despite the negative tests’ angle is also disturbing. Yet, this is the media. When something doesn’t fit the narrative, just say that it does and hope no one notices. And folks wonder why some are not going back inside. Well, the propaganda failed. And nothing says fake news or screw the so-called medical experts than having some guy saying he had COVID, recovered from it, and then finding out he never had it from the start.
Sad. But telling.
July 14th
More than 300 COVID testing labs in Florida reported 100 percent positive rates. That simply isn’t possible. Every person they tested was reported as positive. Upon investigation, the actual positive cases were 10 times lower.
Now, this opens the question, how many other states have been reporting fake numbers? Alex Berenson, the former New York Times reporter who has now become a Twitter expert on the virus, is saying that Texas’ numbers are also off the rails, that they are not accurate.
Here’s a story from JusttheNews.com, John Solomon’s site. “Florida hospital admits its COVID positivity rate is 10x lower than first reported — The news station reported that area hospital Orlando Health ‘confirmed errors in the report,’ with hospital officials stating their ‘positivity rate is only 9.4 percent, not 98 percent.’” That’s 10 times lower.
“Another Orlando-area lab, Veteran’s Medical Center, listed ‘a positivity rate of 76 percent,’ but a company official said that ‘the positivity rate for the center is actually 6 percent.’”
Texas health officials removed more than 3,000 reported coronavirus cases from an overall count after “probable” cases for people who were never tested were counted as confirmed.
“Since we report confirmed cases on our dashboard, we have removed 3,484 previously reported probable cases from the statewide and Bexar County totals,” Chris Van Deusen, a spokesman for the state health agency, said to the Austin American-Statesman.
“The State of Texas today had to remove 3,484 cases from its Covid-19 positive case count, because the San Antonio Health Department was reporting ‘probable’ cases for people never actually tested, as ‘confirmed’ positive cases.- TDHS,” Fox 4 Dallas Evening News anchor Steve Eagar tweeted Wednesday. “What other departments make this same mistake?” (WASHINGTON EXAMINER | CHICKS ON THE RIGHT)
July 17th
One of the managers at Von’s told me today his wife’s sister or his sister (I forget what he said) had made an appointment to get tested for Covid. He said she cancelled, but a few days later received a notice she was positive. This issue being more widespread was confirmed later that evening by coming across an ARMSTRONG WILLIAMS video on Facebook.
BREAKING: Health officials from dozen states have mistakenly lumped (+) results from antibody tests in w viral tests for COVID-19 in reporting to CDC, inflating new cases. A (+) antibody test could mean you were infected w virus from same corona family that causes the common cold
On Friday, it was revealed that once again, the country’s positivity rate is skewed because positive antibody tests are being lumped in with viral tests for COVID-19.
Fox News contributor and physician Nicole Saphier reported: Health officials from numerous states have mistakenly included positive results from antibody tests when reporting new COVID-19 cases to the CDC, grossly inflating new cases. The scientific equivalent to “double dipping.” (GATEWAY PUNDIT)
July 19th (Story about a May death cert)
…. Jack Dake, an Oklahoma man who lived an admirable life as a veteran, a lifelong blue-collar worker and a loving dad, died on May 6 after contracting COVID-19.
There’s just one problem with his cause of death, his family says: Jack Dake did not die from the coronavirus.
The man barely had any symptoms, his family told The Oklahoman, and he died after a long battle with Alzheimer’s disease.
But, the family insists, that didn’t stop a coroner from labeling Dake as a coronavirus statistic on his death certificate on May 14.
Dake’s son, Jack Dake Jr., told the newspaper that his father’s death had absolutely nothing to do with the pandemic.
“Alzheimer’s was the cause of death, and COVID-19 was not even a contributing condition,” Dake Jr. told The Oklahoman. “Yet it’s recorded as the only cause of death.”
Dake apparently contracted the coronavirus at an Oklahoma City assisted living center and tested positive on April 17.
[….]
But the elder Dake was in one of the final stages of his battle with Alzheimer’s and had quit eating and drinking, which is common for end-stage sufferers of the degenerative brain disease.
Dake Jr. also said his father was never again tested for the coronavirus, but the family did request that he be put on hospice care, as he was not eating and was dehydrated.
Dake was listed as being terminal with COVID-19 by hospice workers, and when he died 20 days after testing positive, his death was recorded as one of the state’s coronavirus fatalities.
[….]
According to USA Today, a provision in the Coronavirus Aid, Relieve and Economic Securities Act provides a “20% premium or add on” to Medicare reimbursements to health care facilities. (More information about that provision from the American Hospital Association.)… (WESTERN JOURNAL)
(James Klug) In this video I talk to people about how I believe Donald Trump is NOT a racist. Trump says and Tweets obnoxious things all the time, but after closely examining his actions and the change that he’s doing policy wise I am not convinced that he is a racist. This video was a difficult one to create because the overwhelming majority of people that walked by and said he was wouldn’t talk to me. Thankfully we had a handful of people that wanted to defend their stance!
(Mike Luso) I visited Cal Poly Pomona with the task of debating the students on campus on whether or not President Trump is a racist.
Has there been an epidemic of police killing black people in the United States recently? Does the number of these deaths have anything to do with the crime rate in the black community? And what does the death of George Floyd have to do with white people kneeling recently? Larry Elder takes a closer look at these topics.
This is Larry at his best. He refutes the mantras sprouting up again by the angry Left and the MSM.
After the Ahmaud Arbery shooting, LeBron James said Black people are “literally hunted” every day they go outside. Larry decides to look at the statistics to find out how dangerous it really is for Black people when it comes to violence in the community.
“I don’t know where Ice Cube lives, but he doesn’t live in the hood…” Larry responds to Ice Cube’s Tweet which appears to incite violence toward the police
With the Democratic Party presidential campaigns going full steam, a number of candidates have argued that systemic racism has infected America since its foundation. Larry takes a look at former President Obama and his transition from saying that race wasn’t important to fully embracing identity politics. Larry also looks further into how disadvantaged Black Americans truly are and finds some interesting information.
Systemic Racism in Modern America? Larry Elder makes the case for the exact opposite. Listen to the full segment here.
Larry Interviews Heather Mac Donald of the Manhattan Institute.
After a caller leaves a message mentioning the 72-police officers being put on leave for “racist” comments on their social media sites, Larry Elder brings some rational stats into the conversation. Let me also say, all I have read so far is that these offices said some racist, Islamophobic, and disparaging comments. I bet a good amount of these comments were stuff the PC-Police “think” are these things, but are are not. See Larry’s article entitled, “Criminal Behavior, Not Racism, Explains ‘Racial Disparities’ in Crime Stats“.
Larry Elder has predicted this for years! With police officers in the eye of the political correctness storm, these police are obviously protecting themselves by “playing it safe.” What is known as “passive policing.” In the neighborhoods where this is happening, there have been crowds disrupting police arrests, lawsuits threatened, and criminal charges against police have been promised. So rather than endure a career ending move, they are circling the wagons. Rightly so.
This consequence is WHOLLY lain at the feet of Democrats. 100%
“The real racial bias: Cops more willing to shoot whites than blacks, research finds” (WASHINGTON TIMES)
Here are the first couple segments of Larry’s show… where he uses stats and facts (from the newest study as well in the NYTS ARTICLE by the Harvard economist to LAY-DOWN-THE-LAW about blacks being shot by officers. Enjoy!
An interesting article can be found here on the shooting by the Saint Anthony, MN, Police Office (AMERICAN SPECTATOR)
Here is LARRY ELDER setting the record straight with stats:
…Let’s start with 2014, the last year for which there are official records. According to the Centers for Disease Control, the police killed 261 whites and 131 blacks. The CDC also found that from 1999 to 2013, the police killed almost twice the number of whites compared to blacks, 3,160 and 1,724, respectively.
Activists promptly note that whites account for nearly 65 percent of the population and that, therefore, one would expect whites to comprise most of those killed by cops. And we are told that blacks, while 13 percent of the population, represent a much greater percentage of those killed by cops. Institutional, systemic, structural racism!
Here’s what those promoting the “police disproportionately kill black people” narrative consistently omit. Whites, despite being almost 65 percent of the population, disproportionately commit less of the nation’s violent crime – 10 percent. Blacks, at 13 percent of the population, disproportionately commit more violent crime. As to murders, black commit nearly half. Yet whites are 50 percent of cop killings.
Criminology professor Peter Moskos looked at the numbers of those killed by officers from May 2013 to April 2015 and found that 49 percent were white, while 30 percent were black. “Adjusted for the homicide rate,” says Moskos, “whites are 1.7 times more likely than blacks to die at the hands of police.” So if anything, whites have more to complain about than Mr. Williams….
[Dr. Robert Levin, Health Officer and Medical Director, Ventura County] He predicted 400-to-600 hospitalizations a day. He revised that to 200-to-400 a day…. we are barely over 200 for the ENTIRE ordeal…. We now have a panic over 51 total hospitalizations in a county with eight hospitals. Can you people do math? Can you PLEASE do basic math. This is not a crisis, you however, have created one. You, in an effort to try and prevent all deaths (we’ve had 43 deaths) you have ended all relevant life…. (See more at JOHN ZIEGLER’S site)
STANFORD has released a new paper where they look at their own studies as well as “23 studies with a sample size of at least 500 have been published either in the peerreviewed literature or as preprints as of June 7, 2020.” In this they find confirmation to strongly say:
…In the paper, which has not yet been peer-reviewed, Ioannidis surveyed 23 different seroprevalence studies and found that “among people <70 years old, infection fatality rates ranged from… 0.00-0.23% with median of 0.04%.”
The median fatality rate of all cases, he writes, is 0.26%, significantly lower than some earlier estimates that suggested rates as high as over 3%.
In the paper, Ioannidis acknowledges that “while COVID-19 is a formidable threat,” the apparently low fatality rate compared to earlier estimates “is a welcome piece of evidence.”
“Decision-makers can use measures that will try to avert having the virus infect people and settings who are at high risk of severe outcomes,” he writes. “These measures may be possible to be far more precise and tailored to specific high- risk individuals and settings than blind lockdown of the entire society.”
Keep in mind in March I noted that the rates would be from 0.03% to 0.25% — not to brag or anything, but I am in the 23-studies lane-lines. I just couldn’t differentiate between age groups, but that was assumed as the average age of deaths.
And as states are going over death certificates, they are dropping by at least 25% in deaths by Covid-19. And some independent groups are helping “catch” the inflated number, like Pennsylvania’s “Wolf administration was caught this week adding up to 269 fake deaths to the state totals on Tuesday” (CITADELPOLITICS). Or this short example (PJ-MEDIA)
On Thursday, the Washington State Department of Health (DOH) confirmed a report by the Freedom Foundation that they have included those who tested positive for COVID-19 but died of other causes, including gunshot injuries, in their coronavirus death totals. This calls into serious question the state’s calculations of residents who have actually died of the CCP pandemic.
Last week, after it was reported that, like Washington, Colorado was counting deaths of all COVID-19 positive persons regardless of cause (which had resulted in the inclusion of deaths from alcohol poisoning), the Colorado Department of Health and Environment began to differentiate between deaths “among people with COVID-19” and “deaths due to COVID-19.”
Just one more of the many examples I could share is the New York Times getting 40% wrong of their “died from Covid-19 under 30-years old” front page news story. Mmmm, no, they didn’t die of Covid. As states figure this out, the inflated counts (like when Colorado did this — fell by 25%: lots more on this below).
CONTRACTED TWICE?
In a recent conversation two items came up that are worth updating for friends and family. The first deals with if a person can get the WuFlu twice. FORBES has a good article on this:
…Whenever I lecture on the Covid-19 outbreak, someone always asks me, “Can I get infected twice?” This is a natural concern. After all, if someone suffers through the prolonged fever, hacking cough, and profound weakness and misery caused by the virus, one small positive aspect might be not having to suffer through it a second time.
Such fears were ratcheted up after there were reports in Korea about people who had recovered from illness and tested negative, only to have a later test come up positive again. This prompted fear of new spread, even from recovered victims. Back in early March, a mayor in Texas, blasted the CDC for releasing a recovered patient from isolation, only to have that patient test positive again after release.
As a health care provider, the last thing you want to do is tell someone they are cured and release them back into the community, only to learn later that they started a whole new chain of virus transmission. Fortunately, a new study from the South Korean Center for Disease Control helps to answer part of the question. They studied patients who tested negative upon recovery, but in later tests became positive again. Could they spread the virus again?
It turns out, despite the positive test, they found that none of them were secreting live, infectious virus. It was a quirk of the rapid tests, which sample for low levels of genetic material, not whole virus. They concluded that the recovered patients had residual genetic fragments that still triggered the tests to turn positive. Those individuals were no longer contagious.
This was a relief. In other good news, a new draft paper reports that monkeys that were infected with the SARS-CoV-2 virus developed antibodies and were protected from illness when exposed to the virus a second time. It’s a small study, but it offers a glimmer of hope that once infected, there is immunity to re-infection….
The second issue was regarding animals being able to contract the virus.
Q: Could I infect my pets with coronavirus, or vice versa? Can someone get infected by touching an animal’s fur? Should I get my pet tested for coronavirus?
Most of those infections came from contact with people who had coronavirus, like a zoo employee who was an asymptomatic carrier.
But according to the CDC, there is no evidence animals play a significant role in spreading the virus to humans. Therefore, at this time, routine testing of animals for Covid-19 is not recommended.
As always, it’s best to wash your hands after touching an animal’s fur and before touching your face. And if your pet appears to be sick, call your veterinarian.
More “known” examples from the CDC:
A small number of pet cats and dogs have been reported to be infected with the virus in several countries, including the United States. Most of these pets became sick after contact with people with COVID-19.
Several lions and tigersexternal icon at a New York zoo tested positive for SARS-CoV-2 after showing signs of respiratory illness. Public health officials believe these large cats became sick after being exposed to a zoo employee who was infected with SARS-CoV-2. All of these large cats have fully recovered.
SARS-CoV-2 was recently discovered in mink (which are closely related to ferrets) on multiple farms in the Netherlands. The mink showed respiratory and gastrointestinal signs; the farms also experienced an increase in mink deaths. Because some workers on these farms had symptoms of COVID-19, it is likely that infected farm workers were the source of the mink infections. Some farm cats on several mink farms also developed antibodies to this virus, suggesting they had been exposed to the virus at some point. Officials in the Netherlands are investigating the connections between the health of people and animals as well as the environment on these mink farms.
(The below is from June 19th)
COMPARED
MAROON numbers are death rate, and the BLUE numbers are hospitalization rates. Rated by placement as well. This is merely for comparison to decide if $1.1 trillion lost for every month of the economic shutdown and the long-term damage on the U.S. economy, shrinking it by $7.9 trillion over the next decade.
[1]The 1918-19 “Spanish Flu” Pandemic — 675,000 died in the United States, some victims died within mere hours or days of developing symptoms.
[2]The 1957-58 “Asian Flu” Pandemic — 116,000 deaths were in the US. Most of the cases affected young children.
[3]The 1968 “Hong Kong Flu” Pandemic—100,000 deaths occurred in the United States
[12](9) The 2009 H1N1 Pandemic— About 80% of those deaths are believed to have been people younger than 65 — which is unusual. During typical seasonal influenza epidemics, 70-90% of deaths occur in people over 65. 274,000 hospitalizations, and 12,469 deaths in the United States due to the virus.
[9](7)2010-2011 flu season— 290,000 influenza-related hospitalizations and 37,000 flu-associated deaths
[6](3)2012-2013 flu season — 56,000 deaths is the CDC estimate. 571,000 influenza-related hospitalizations
[8](6)2013-2014 flu season — 347,000 influenza-related hospitalizations, and 38,000 flu-associated deaths
[7](2)2014-2015 flu season— 591,000 influenza-related hospitalizations, and 51,000 flu-associated deaths
[11](8)2015-2016 flu season— 280,000 influenza-related hospitalizations, and 23,000 flu-associated deaths
[8](4)2016-2017 flu season— 500,000 influenza-related hospitalizations, and 38,000 influenza-associated deaths
[5](1)2017-2018 flu season — The CDC estimates that between 46,000 and 95,000 Americans died due to influenza during the 2017-18 flu season. This resulted in an estimated 959,000 hospitalizationsand a middle-ground of 61,099 deaths.
[10](5)2018-2019 flu season — 490,600 hospitalizations, and 34,200 deaths from influenza
[4](10)Covid-19 (SARS-CoV-2) — With the adjusted numbers that I believe the flu (a bad influenza season assumed to be novel influenza on untested patients), I would bet we are at about 80,000 or less deaths from The WuFlu. US Coronavirus Hospitalizations is at a current level of 229,212.
Steven Crowder takes to the streets of Dallas to have real conversations with real people. In this installment, Steven discusses the COVID19 death count and the fake news surrounding it.
Crowder is posted above as an UPDATE to support my contention below:
(The below is from May 24th, 2020)
Here are some updated numbers, from CONSERVATIVE REVIEW — and I will post a portion of an older post [recently updated] underneath this (also, if the graphics are not linked to ENLARGE, I will linkto the Twitter accounts associated with the graphics):
The CDC just came out with a report that should be earth-shattering to the narrative of the political class, yet it will go into the thick pile of vital data and information about the virus that is not getting out to the public. For the first time, the CDC has attempted to offer a real estimate of the overall death rate for COVID-19, and under its most likely scenario, the number is 0.26%. Officials estimate a 0.4% fatality rate among those who are symptomatic and project a 35% rate of asymptomatic cases among those infected*jump, which drops the overall infection fatality rate (IFR) to just 0.26% — almost exactly where Stanford researchers pegged it a month ago.
Until now, we have been ridiculed for thinking the death rate was that low, as opposed to the 3.4% estimate of the World Health Organization, which helped drive the panic and the lockdowns. Now the CDC is agreeing to the lower rate in plain ink.
Plus, ultimately we might find out that the IFR is even lower because numerous studies and hard counts of confined populations have shown a much higher percentage of asymptomatic cases. Simply adjusting for a 50% asymptomatic rate would drop their fatality rate to 0.2% – exactly the rate of fatality Dr. John Ionnidis of Stanford University projected.
More importantly, as I mentioned before, the overall death rate is meaningless because the numbers are so lopsided. Given that at least half of the deaths were in nursing homes, a back-of-the-envelope estimate would show that the infection fatality rate for non-nursing home residents would only be 0.1% or 1 in 1,000. And that includes people of all ages and all health statuses outside of nursing homes. Since nearly all of the deaths are those with comorbidities.
The CDC estimates the death rate from COVID-19 for those under 50 is 1 in 5,000 for those with symptoms, which would be 1 in 6,725 overall, but again, almost all those who die have specific comorbidities or underlying conditions. Those without them are more likely to die in a car accident. And schoolchildren, whose lives, mental health, and education we are destroying, are more likely to get struck by lightning.
[….]
To put this in perspective, one Twitter commentator juxtaposed the age-separated infection fatality rates in Spain to the average yearly probability of dying of anything for the same age groups, based on data from the Social Security Administration. He used Spain because we don’t have a detailed infection fatality rate estimate for each age group from any survey in the U.S. However, we know that Spain fared worse than almost every other country. This data is actually working with a top-line IFR of 1%, roughly four times what the CDC estimates for the U.S., so if anything, the corresponding numbers for the U.S. will be lower.
I wanted to expand the Twitter graphic and link above a bit, I spent some time going through the comments and many of the conversational offshoots. I figured this collection (ending with my comment) sums up the issue in a lot less time:
(Click once to get large graphic, click again to blow it up)
There is a fascinating “official” continuation of this convo with more detail (linked in below Twitter graphic):
…as well as all the Facebook discussions/debates between myself, friends, family, and complete strangers.
...AND,
…as I show below, this number will get lower upon investigation of common sense assumptions if never investigated.
REASON has their article discussing the issue of IFR and America compared to Europe (see also BLOOMBERG’S article):
According to the Centers for Disease Control and Prevention (CDC), the current “best estimate” for the fatality rate among Americans with COVID-19 symptoms is 0.4 percent. The CDC also estimates that 35 percent of people infected by the COVID-19 virus never develop symptoms. Those numbers imply that the virus kills less than 0.3 percent of people infected by it—far lower than the infection fatality rates (IFRs) assumed by the alarming projections that drove the initial government response to the epidemic, including broad business closure and stay-at-home orders.
The CDC offers the new estimates in its “COVID-19 Pandemic Planning Scenarios,” which are meant to guide hospital administrators in “assessing resource needs” and help policy makers “evaluate the potential effects of different community mitigation strategies.” It says “the planning scenarios are being used by mathematical modelers throughout the Federal government.”
The CDC’s five scenarios include one based on “a current best estimate about viral transmission and disease severity in the United States.” That scenario assumes a “basic reproduction number” of 2.5, meaning the average carrier can be expected to infect that number of people in a population with no immunity. It assumes an overall symptomatic case fatality rate (CFR) of 0.4 percent, roughly four times the estimated CFR for the seasonal flu. The CDC estimates that the CFR for COVID-19 falls to 0.05 percent among people younger than 50 and rises to 1.3 percent among people 65 and older. For people in the middle (ages 50–64), the estimated CFR is 0.2 percent.
That “best estimate” scenario also assumes that 35 percent of infections are asymptomatic, meaning the total number of infections is more than 50 percent larger than the number of symptomatic cases. It therefore implies that the IFR is between 0.2 percent and 0.3 percent. By contrast, the projections that the CDC made in March, which predicted that as many as 1.7 million Americans could die from COVID-19 without intervention, assumed an IFR of 0.8 percent. Around the same time, researchers at Imperial College produced a worst-case scenario in which 2.2 million Americans died, based on an IFR of 0.9 percent.
Such projections had a profound impact on policy makers in the United States and around the world. At the end of March, President Donald Trump, who has alternated between minimizing and exaggerating the threat posed by COVID-19, warned that the United States could see “up to 2.2 million deaths and maybe even beyond that” without aggressive control measures, including lockdowns.
One glaring problem with those worst-case scenarios was the counterfactual assumption that people would carry on as usual in the face of the pandemic—that they would not take voluntary precautions such as avoiding crowds, minimizing social contact, working from home, wearing masks, and paying extra attention to hygiene. The Imperial College projection was based on “the (unlikely) absence of any control measures or spontaneous changes in individual behaviour.” Similarly, the projection of as many as 2.2 million deaths in the United States cited by the White House was based on “no intervention”—not just no lockdowns, but no response of any kind.
Another problem with those projections, assuming that the CDC’s current “best estimate” is in the right ballpark, was that the IFRs they assumed were far too high. The difference between an IFR of 0.8 to 0.9 percent and an IFR of 0.2 to 0.3 percent, even in the completely unrealistic worst-case scenarios, is the difference between millions and hundreds of thousands of deaths—still a grim outcome, but not nearly as bad as the horrifying projections cited by politicians to justify the sweeping restrictions they imposed.
“The parameter values in each scenario will be updated and augmented over time, as we learn more about the epidemiology of COVID-19,” the CDC cautions. “New data on COVID-19 is available daily; information about its biological and epidemiological characteristics remain[s] limited, and uncertainty remains around nearly all parameter values.” But the CDC’s current best estimates are surely better grounded than the numbers it was using two months ago.
A recent review of 13 studies that calculated IFRs in various countries found a wide range of estimates, from 0.05 percent in Iceland to 1.3 percent in Northern Italy and among the passengers and crew of the Diamond Princess cruise ship. This month Stanford epidemiologist John Ioannidis, who has long been skeptical of high IFR estimates for COVID-19, looked specifically at published studies that sought to estimate the prevalence of infection by testing people for antibodies to the virus that causes the disease. He found that the IFRs implied by 12 studies ranged from 0.02 percent to 0.4 percent. My colleague Ron Bailey last week noted several recent antibody studies that implied considerably higher IFRs, ranging from 0.6 percent in Norway to more than 1 percent in Spain.
Methodological issues, including sample bias and the accuracy of the antibody tests, probably explain some of this variation. But it is also likely that actual IFRs vary from one place to another, both internationally and within countries. “It should be appreciated that IFR is not a fixed physical constant,” Ioannidis writes, “and it can vary substantially across locations, depending on the population structure, the case-mix of infected and deceased individuals and other, local factors.”
[….]
If you focus on hard-hit areas such as New York and New Jersey, an IFR between 0.2 and 0.3 percent, as suggested by the CDC’s current best estimate, seems improbably low. “While most of these numbers are reasonable, the mortality rates shade far too low,” University of Washington biologist Carl Bergstrom told CNN. “Estimates of the numbers infected in places like NYC are way out of line with these estimates.”
But the CDC’s estimate looks more reasonable when compared to the results of antibody studies in Miami-Dade County, Santa Clara County, Los Angeles County, and Boise, Idaho—places that so far have had markedly different experiences with COVID-19. We need to consider the likelihood that these divergent results reflect not just methodological issues but actual differences in the epidemic’s impact—differences that can help inform the policies for dealing with it.
IMMUNITIES
Of course there is another twist in the whole story morning glory… even with the vaccine, the virus itself is disappearing naturally as more and more people are naturally getting immune to it through contact (most react with no or minor symptoms), the vaccine will be useless by the time it is produced. (Which is why they will in the end FORCE this on us, to vindicate the monies spent and a need to recoup costs.)
Coronavirus ‘disappearing’ so fast Oxford vaccine has ‘only 50% chance of working’ https://t.co/xui1D4MpPL
This is because the HERD IMMUNITY rate may be much lower that some have been saying:
Why Herd Immunity To Covid-19 Is Reached Much Earlier Than Thought (JUDITH CURRY)
… In my view, the true herd immunity threshold probably lies somewhere between the 7% and 24% implied by the cases illustrated in Figures 4 and 5. If it were around 17%, which evidence from Stockholm County suggests the resulting fatalities from infections prior to the HIT being reached should be a very low proportion of the population. The Stockholm infection fatality rate appears to be approximately 0.4%,[20] considerably lower than per the Verity et al.[21] estimates used in Ferguson20, with a fatality rate of under 0.1% from infections until the HIT was reached. The fatality rate to reach the HIT in less densely populated areas should be lower, because R0 is positively related to population density.[22] Accordingly, total fatalities should be well under 0.1% of the population by the time herd immunity is achieved. Although there would be subsequent further fatalities, as the epidemic shrinks it should be increasingly practicable to hasten its end by using testing and contact tracing to prevent infections spreading, and thus substantially reduce the number of further fatalities below those projected by the SEIR model in a totally unmitigated scenario.
Herd Immunity May Only Need 10-20 Per Cent Of People To Be Infected (SPECTATOR UK)
…The usual health warnings apply. Gomes’ work is theoretical modelling and, in common with a lot of material on Covid-19 that is being pre-published at the moment (including Ferguson’s paper of 16 March), it has not been peer-reviewed. But it is interesting that it gives an estimate for herd immunity of between 10 and 20 per cent, because that echoes real-life experience. The closest we have to a controlled experiment on the spread of Covid-19 was the cruise ship Diamond Princess, where the disease was able to spread uncontrolled in January, and almost all were later tested for the disease. Out of the 3,711 passengers and crew, 712 – or 19 per cent – were infected.
If herd immunity really is achieved at between 10 to 20 per cent it could mean that many parts of the world are approaching it – or are there already. A study of 1,000 residents in the North West German town of Gangelt in early April suggested that 14 per cent had already been infected (many without even knowing it). A study of 1,300 New Yorkers in late April suggested that 21 per cent have been infected.
* I also believe the CDC to be waay off in their assessment of the asymptomatic expressions of this virus. They say it is 35%, I say this is way too low. I would posit the lowest is 50%, whereas the highest is between 80% and 86%. My guess is closer to 80%. Here are some examples to support my statements:
[/color-box]
When an outbreak of coronavirus in a Boston homeless shelter prompted officials to do more testing, the results caught them off guard. Of the 146 people who tested positive, all of them were considered asymptomatic.
“These are larger numbers than we ever anticipated,” said Dr. Jim O’Connell, president of the Boston Health Care for the Homeless Program. “Asymptomatic spread is something we’ve underestimated overall, and it’s going to make a big difference.”…
…Dr. Michael Para with OSU said the mass testing was a critical step.
“A large number were positive, but what is amazing is how many people were positive and had no symptoms at all. They were feeling fine,” he said. Mass testing at the Marion Correctional Institution, for example, revealed that approximately 96 percent of inmates who tested positive for COVID-19 were asymptomatic, Chambers-Smith added.
Para said clinicians looked at what they had found and they are now testing the people who were negative to see if they have turned positive.
“Going forward we are going to test specific individuals who are showing symptoms, who are being released, etc.,” he said. “By testing inmates on release, we can notify local health departments whether or not a person is COVID-19 positive.”…
Here, the NEW YORK POST (March 17, 2020) notes the journal article by saying:
“Stealth” coronavirus cases are fueling the pandemic, with a staggering 86% of people infected walking around undetected, a new study says.
Six of every seven cases – 86% — were not reported in China before travel restrictions were implemented, driving the spread of the virus, according to a study Monday in the journal Science.
“It’s the undocumented infections which are driving the spread of the outbreak,” said co-author Jeffrey Shaman of Columbia University Mailman School, according to GeekWire.
Using computer modeling, researchers tracked infections before and after the Chinese city of Wuhan’s travel ban.
The findings indicated that these undocumented infections with no or mild symptoms — known as “stealth” cases — were behind two-thirds of the reported patients.
“The majority of these infections are mild, with few symptoms at all,” Shaman said, Mercury News reported. “People may not recognize it. Or they think they have a cold.”…
This information likewise calls into question the “official numbers of deaths” being attributed to the CDC as well as supporting the idea that many more persons have the WU FLU, making the death rate percentages even smaller than being discussed above. I am repeating the below because I think it is crucially important!
Enjoy:
other PERTINENT information
MAY I ALSO NOTE that I believe the deaths from The Rona are a bit overstated, while Dr. Birx noted that the CDC may be inflating the death toll by 25%, I provide a couple other examples to support my claim.
UPDATED INFO – Real Quick
On Thursday, the Washington State Department of Health (DOH) confirmed a report by the Freedom Foundation that they have included those who tested positive for COVID-19 but died of other causes, including gunshot injuries, in their coronavirus death totals. This calls into serious question the state’s calculations of residents who have actually died of the CCP pandemic.
First up, Dr. Birx setting the stage for this with how deaths are coded:
Another example comes from Dr. Ngozi, Director of public health Illinois. She explains how ALL deaths are counted as Covid-19 even if the patient was diagnosed to have die from another disease:
Adapted from the above video description is important (via 4 TIMES A YEAR)
“Should “COVID-19” be reported on the death certificate only with a confirmed test? COVID-19 should be reported on the death certificate for all decedents where the disease caused or is assumed to have caused or contributed to death.” (CDC): “Deborah Birx, a physician who’s leading the White House’s coronavirus task force, said Alabama’s strategy conflicts with CDC’s approach to tallying Covid-19-realted deaths. “[W]e’ve taken a very liberal approach to mortality,” she said. “[I]f someone dies with Covid-19, we are counting that as a Covid-19 death.” (ADVISORY)
As many have pointed out, there is a big difference between dying WITH the virus and FROM the virus.
Note Dr. Birx’s similar wording to what Italy was doing:
“‘We’ve taken a very liberal approach to mortality….” “The way in which we code deaths in our country is very generous in the sense that all the people who die in hospitals with the coronavirus are deemed to be dying of the coronavirus.”
Italy, unlike the CDC, corrected its error:
“The age of our patients in hospitals is substantially older – the median is 67, while in China it was 46,” Prof Ricciardi says. “So essentially the age distribution of our patients is squeezed to an older age and this is substantial in increasing the lethality.”
A study in JAMA this week found that almost 40 per cent of infections and 87 per cent of deaths in the country have been in patients over 70 years old.
[….]
But Prof Ricciardi added that Italy’s death rate may also appear high because of how doctors record fatalities.
“The way in which we code deaths in our country is very generous in the sense that all the people who die in hospitals with the coronavirus are deemed to be dying of the coronavirus.
“On re-evaluation by the National Institute of Health, only 12 per cent of death certificates have shown a direct causality from coronavirus, while 88 per cent of patients who have died have at least one pre-morbidity – many had two or three,” he says.
[….]
If further testing finds more asymptomatic cases spreading undetected, the mortality rate will drop.
1) The shocking inflation of COVID-19 death numbers: From day one, we were warned that states are ascribing every single death of anyone who happens to test positive for the coronavirus — even if they are asymptomatic — to the virus rather than the clear cause of death. Now, thanks to a lawsuit in Colorado, the state was forced to revise its death count down by 23 % over the weekend — from 1,150 to 878. The state is now publishing numbers of deaths “with” COVID-19 separate from deaths “from” COVID-19. As I reported on Thursday, county officials started accusing the state’s department of health of reclassifying deaths of those who tested positive for the virus but died of things like alcohol poisoning as COVID-19 deaths just to insidiously inflate the numbers. This revision in Colorado is a bombshell story that, of course, will remain unknown to most Americans. Every state needs to do this, and if they did, we would find an across-the-board drop in numbers by at least 25%, the same %age by which Dr. Birx reportedly believes the count is being inflated, according to the Washington Post. For example, in Minnesota, state officials are now admitting that every single person who dies in a nursing home after testing positive is now deemed to have died from the virus, never mind the fact that 25% of all natural deaths in a given week occur in nursing homes and that most cases of COVID-19 are asymptomatic, which means more often than not, they died exclusively of other causes.
TO WIT… Dennis Prager’s guest is Dr. Joel Hay, who is a professor in the department of Pharmaceutical Economics and Policy at the University of Southern California. Both give examples of cancer deaths being coded Covid:
And my third evidence to support my contention a nurse is filmed commenting on the percentages of deaths at NYC hospital. In my posts point #2 (the video still up amazingly) notes that every death cert in NYC-hospital is coded as Rona. In fact, 99% of deaths from that hospital were coded Rona during a period — AN IMPOSSIBLE statistic (https://tinyurl.com/y9awsuor — my site)
….In New York City, around 12,000 people have supposedly died from COVID-19 at the time of this writing. That’s 22% of all alleged U.S. deaths.
Around 7,000 of the NYC deaths attributed to COVID-19 have been thoroughly investigated to determine if there was another serious life-threatening illness present
Take a deep breath if doing so hasn’t been outlawed where you live.
99.2% of those 7,000 New Yorkers who supposedly died from the virus had another antecedent life-threatening illness. For all intents and purposes, that’s all of them.
How is it even remotely possible that 7,000 NYC deaths attributed to COVID-19 were investigated and virtually every single one of them found to have involved at least one other life-threatening illness if the virus is in and of itself deadly?
Most strains of coronavirus that affect humans are common cold viruses.
In light of the apparent almost universal prevalence of at least one other deadly disease among the alleged NYC deceased…
And in light of all the factors massively inflating the bogus death tally we’re being fed every day…
What reason do we have to believe COVID-19 is actually killing anyone?
No one knows how many Americans have really died of COVID-19….
However, we are starting to find out that “pure” deaths caused by Covid-19 exclusivelt is low (DAILY WIRE):
On Tuesday, San Diego county Supervisor Jim Desmond said after digging into the data that he believes only six of the county’s 194 coronavirus-identified deaths are “pure” coronavirus deaths, meaning they died from the virus, not merely with the virus.
Desmond was seemingly ruling out deaths from individuals with preexisting conditions.
“We’ve unfortunately had six pure, solely coronavirus deaths — six out of 3.3 million people,” Desmond said on a podcast, Armstrong & Getty Extra Large Interviews, according to San Diego Tribune. “I mean, what number are we trying to get to with those odds. I mean, it’s incredible. We want to be safe, and we can do it, but unfortunately, it’s more about control than getting the economy going again and keeping people safe.”
Public Health Officer Dr. Wilma Wooten suggested Wednesday during a press briefing that Desmond was being callous, noting that their liberal identification of COVID-19 deaths is uniform with coding nationwide.
“Their life is no less valuable than someone’s life who does not have underlying medical conditions,” Wooten said. “This is not just San Diego. This is how this is done throughout the entire nation in terms of identifying who has died of COVID-19.”…
Also note that all the anti-body tests are showing a larger infected population than previously considered. REASON.COM previously noted the Stanford study that between “48,000 and 81,000 residents of Santa Clara County, California are likely to have already been infected by the coronavirus that causes COVID-19.” Stanford University has revised the numbers to better fit the assumption (via MERCURY NEWS):
…In a revised analysis of a startling study published last month, they now estimate that 2.8% of Santa Clara residents were previously infected by the virus but didn’t know it.
That implies that the county had up to 54,000 infections — many more than the 1,000 confirmed cases in the county at the time.
“This suggests that the large majority of the population does not have antibodies and may be susceptible to the virus,” concludes the research paper, published in the online report medRxiv….
MY COMMENTS FROM MY FACEBOOK ABOUT THE ABOVE
So, Stanford settled on a number in early April… when there were 1,000 CONFIRMED cases were known in Santa Clara, there were 54,000 infected. To REALLY understand the percentages you would have to follow those 1,000 KNOWN cases from that time and compare the 55,000 cases to those deaths. (BTW, Stanford took the lower path on stats; so there could be a larger number.) Here is part of the article… but know that with the flu shot, there are more deaths by the flu than The Rona, without a “Rona shot.”
UPDATE (trying to figure out deaths per infections): Okay, let us apply the 98% survive who are known to have it and are hospitalized stat I have heard for some time. So 2% of the 1,000 is 20. 20 deaths from that early April figure of 55,000. Right? Gives you… 0.036%
UPDATES!
A friend on FACEBOOK has been a light in the war-torn field of The Rona (Wu Flu) battle of infection rates. Here are two posts of his [combined with a response to a friendly comment from one of his peeps] followed by some recent articles (links to papers will be in graphics):
Here’s a new meta-study from Stanford of all of the antibody testing that’s happened.
This puts the Wu Flu anywhere between 7x LESS deadly than the flu and 2.8x MORE deadly than the flu (making it a little worse than a bad flu season like 2018). And that’s assuming that this doesn’t follow SARS 1 and just disappear.
The data behind this is really solid, and the author is well-respected. Unlike those stupid models we were using, this is really real data.
We don’t do contact tracing, social distancing, mask-wearing, or lockdowns for the seasonal flu, and this looks like a watered down seasonal flu that got 100000000x more media attention and governors sending sick people to nursing homes to boost up the death rate.
The original post (OP) on this second strain was a graphic. I will link to the Kent County (Michigan site through it. Here is my FB description of the following: “A person named B.M. wrote on a friends Facebook wall the following regarding “contact tracing.” (The original post had to do with hiring government employees to trace citizens with Covid.)”
[A reader of JP’snoted] Actually, contact tracing sounds like a legitimate work of government. Rather than quarantining the healthy, quarantine the sick and monitor those exposed to the disease.
JP responded:
Sorry in advance for the novel! Heh, I started thinking of other interesting things to add and just decided to run with it.
Contact tracing might work for illnesses that don’t spread very easily (it probably would have exterminated HIV, according to what I’ve read; I’m no expert but it seems reasonable), but for upper respiratory stuff like colds and flus (and the Wu Flu), it’s pretty much doomed, especially with up to 10% of the whole country already having the it.
The original point of the lockdowns (which don’t seem to have worked; lockdown and non-lockdown countries and states have almost identical statistics) was to slow the spread to prevent hospitals from being overwhelmed. It wasn’t to stop spread, since even the CDC admits that after about 1% of people are infected with a contagious disease, you can’t really close the door on it anymore. Contact tracing is a relatively invasive way of closing the door on a virus, so I don’t think it will work here**.
The data points to a much less lethal bug, though. Stanford’s meta analysis of all of the large-scale antibody testing shows an IFR (Infection Fatality Rate) between 7 times less than the seasonal flu and 2.8 times more. It’s probably in the middle, making it slightly less lethal than regular seasonal flus. And since we know it has been in the US at least since January (probably since December or earlier), the R? (Basic Reproduction Number or Rate) is also much lower than people originally thought. So it spreads like the flu and is as deadly as the flu.
The main difference seems to be the 24/7 media terrorizing of citizens, the complete ignorance most of us (that’s me, too) had in the real pneumonia/influenza deaths each year, and the downright evil policy of many Democrat governors of sending the sick to recover (while contagious) at nursing homes, boosting the deaths by up to 50%.
Sorry for the novel!! Reading every little bit about this thing has become an unfortunate hobby of mine. I’m of the mind now that the best strategy is to fight the fear instead of the virus and to get back to normal in virtually every way. If this is anything like it’s older brother SARS, it will die out in the next couple of months. But if not, keeping everyone from immunity just means extending the risk.
**I think contact tracing may -appear- to work because I think we are naturally bottoming out cases. Same, in my mind, for other measures.
One final bit: I’ve followed lots of different predictions to see who might get things most accurately to see what they did differently. This guy’s been right on (it’s been almost scary) using SARS as a comparison instead of the Spanish Flu (since this bug is SARS 2). This is a really good visual of the whole thing:
(Click to enlarge)
ALSO, a short bit from Bruce Carrol:
“If you are waiting for a “cure” for COVID-19, you’ll never leave your home again.
Even the flu vaccine (not vaccine, flu shot. There is a vaccine for the Polio, not HIV or SARS) results in 60-80,000 deaths every season.
We have to stop the fearmongering and start learning to live with a new virus in a string of new viruses that have emerged for tens of thousands of years.
Boomers and Millennials aren’t that special of a species.”
— Bruce Carroll (Co-founder of the gay Republican group GOProu, and founder of GAYPATRIOT)
One of the great unknowns of the COVID-19 crisis is just how deadly the disease is. Much of the panic dates from the moment, in early March, when the World Health Organization (WHO) published a mortality rate of 3.2 percent — which turned out to be a crude ‘case fatality rate’ dividing the number of deaths by the number of recorded cases, ignoring the large number of cases which are asymptomatic or otherwise go unrecorded.
The Imperial College modeling, which has been so influential on the UK government, assumed an infection fatality rate (IFR) of 0.9 percent. This was used to compute the infamous prediction that 250,000 Britons would die unless the government abandoned its mitigation strategy and adopted instead a policy of suppressing the virus through lockdown. Imperial later revised its estimate of the IFR down to 0.66 percent — although the March 16 paper which predicted 250,000 deaths was not updated.
In the past few weeks, a slew of serological studies estimating the prevalence of infection in the general population has become available. This has allowed Prof John Ioannidis of Stanford University to work out the IFR in 12 different locations.
They range between 0.02 percent and 0.5 percent — although Ioannidis has corrected those raw figures to take account of demographic balance and come up with estimates between 0.02 percent and 0.4 percent. The lowest estimates came from Kobe, Japan, found to have an IFR of 0.02 percent and Oise in northern France, with an IFR of 0.04 percent. The highest were in Geneva (a raw figure of 0.5 percent) and Gangelt in Germany (0.28 percent).
The usual caveats apply: most studies to detect the prevalence of the SARS-CoV-2 virus in the general population remain unpublished, and have not yet been peer-reviewed. Some are likely to be unrepresentative of the general population. The Oise study, in particular, was based on students, teachers and parents in a single high school which was known to be a hotspot on COVID-19 infection. At the other end of the table, Geneva has a relatively high age profile, which is likely to skew its death rate upwards.
But it is noticeable how all these estimates for IFR are markedly lower than the figures thrown about a couple of months ago, when it was widely asserted that COVID-19 was a whole magnitude worse than flu. Seasonal influenza is often quoted as having an IFR of 0.1 to 0.2 percent. The Stanford study suggests that COVID-19 might not, after all, be more deadly than flu — although, as Ioannidis notes, the profile is very different: seasonal flu has a higher IFR in developing countries, where vaccination is rare, while COVID-19 has a higher death rate in the developed world, thanks in part of more elderly populations.
The Stanford study, however, does not include the largest antibody study to date: that involving a randomized sample of 70,000 Spanish residents, whose preliminary results were published by the Carlos III Institute of Health two weeks ago. That suggested that five percent of the Spanish population had been infected with the virus. With 27,000 deaths in the country, that would convert to an IFR of 1.1 percent.
This backs up of course some excellent article by Daniel Horowitz:
A CLEARER PICTURE has a great post about this as well, I suggest if you like what you see you check out that blog weekly.
…For one thing, Dr. Fauci and Dr. Birx have both explicitly stated that anyone dying WITH the virus is counted as dying FROM it. Since 4/5 of COVID-19 infections are mild and 1/2 appear to show no symptoms at all, the official U.S. death tally is bound to include many in which it played little or no role.
The CDC has made matters much worse by insisting that doctors list COVID-19 on death certificates without a positive test confirming its presence and even absent any medical justification at all. A willingness to “assume” it was a factor is all that’s officially required. And hospitals now reap enormous financial rewards for making the assumption.
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Those in charge couldn’t have possibly shown less interest in determining the real number of Americans who would still be alive if not for having contracted COVID-19. It’s unlikely that ours is the only country in which the data has been turned into garbage by a perfect storm of inflating factors. As hard as it may be to accept, the odds are pretty much nil that we’ll ever know how deadly the virus we were made to spend months obsessively fearing really was.
Even on the inflated numbers we’re getting, however, it isn’t anywhere near 10 times deadlier than the flu; as Dr. Fauci claimed on March 11, while ginning up support for his novel public health strategy of extinguishing our rights and wrecking the economy. But, of course, a few weeks later, we learned that even Fauci didn’t believe a word of the lie he so effectively used to terrorize a nation of over 300 million people into suicidal obedience.
Though perhaps you haven’t heard. You see, on March 26, Dr. Fauci shared his true opinion with his peers in the pages of the prestigious New England Journal of Medicine:
The overall clinical consequences of Covid-19 may ultimately be more akin to those of a severe seasonal influenza (which has a case fatality rate of approximately 0.1%).
Dr. Anthony Fauci, March 26, 2020 New England Journal of Medicine
In case you’re wondering, the parenthetical remark is his, not mine. Moreover, when Sharyl Attkisson contacted the journal about the strange discrepancy between what Fauci was scaring the public with and the substantially less alarming take his learned colleagues heard, she discovered his article had been submitted “many weeks ago.”….
DEFINITION: To kneel and touch the forehead to the ground in expression of deep respect, worship, or submission, as formerly done in China…. To show servile deference. synonym: fawn.
Vietnamese mandarins kowtowing before the Governor-General of Tonkin
AMERICAN THINKERhas an intro to the below Tucker Carlson video I wish to excerpt from before you watch the video:
…Back in the 1960s, authority figures also collapsed before the black mob. Shelby Steele, in WHITE GUILT, describes how his college president, the quintessential white liberal who gave to all the Civil Rights causes, backed down like a deflated balloon:
Dr. McCabe simply came to a place where his own knowledge of American racism—knowledge his personal integrity prevented him from denying—opened a vacuum of moral authority within him. He was not suddenly stricken with pangs of guilt over American racism. He simply found himself without the moral authority to reprimand us for our disruptive behavior. He knew that we had a point, that our behavior was in some way connected to centuries of indisputable injustice. So he was trumped by his knowledge of this, not by his remorse over it, though he may have felt such remorse. Our outrage at racism simply had far greater moral authority than his outrage over our breach of decorum. And had he actually risen to challenge us, I was prepared to say that we would worry about our behavior when he and the college started worrying about the racism we encountered everywhere, including on his campus.
And this is when I first really saw white guilt in action. Now I know it to be something very specific: the vacuum of moral authority that comes from simply knowing that one’s race is associated with racism. Whites (and American institutions) must acknowledge historical racism to show themselves redeemed of it, but once they acknowledge it, they lose moral authority over everything having to do with race, equality, social justice, poverty, and so on. They step into a void of vulnerability. The authority they lose transfers to the “victims” of historical racism and becomes their great power in society. This is why white guilt is quite literally the same thing as black power.
Steele, Shelby, White Guilt [Kindle Locations 370-374]. HarperCollins; emphasis mine.
In the 1960s, thanks to Jim Crow and endemic racism in the Northeast, whites had good reason to feel guilty.
But what about whites in 2020? Well, that’s where the Big Lie comes in….
Why Are Americans Surrendering To Violent Mobs? Because They’ve Been Told They Have To
Here is an excellent CITY-JOURNAL article that Heather Mac Donald draws sensible reactions to these outliers:
…Many protest supporters have expressed frustration with the attention being given to a relative handful of agitators driving the violence and looting—behavior, they say, that distorts the image of what is largely a peaceful movement. Their frustration is understandable but also ironic: the narrative that has driven thousands into the streets is itself a distortion. Just as the violence that has alarmed the American public does not represent the peaceful protesters exercising their right to air their grievances, the police violence depicted in viral videos does not characterize the institution of law enforcement.
This is not to say that police are perfect, or that officers never abuse their power; they are not perfect, and some do succumb to what can be an intoxicating sense of authority. This is a truth I’ve personallyexperienced. Nor is it to say that there is no room to improve policing and to make police-citizen encounters both safer and less fraught. But if there is to be any hope for peacefully bridging the gap so strikingly represented by the glass-covered asphalt separating rioters and police, destructive hyperbole needs to be recognized for what it is.
[….]
This is in line with other data I highlighted in these pages two years ago—namely, a 2018 study published in the Journal of Trauma and Acute Care Surgery, which analyzed more than 114,000 criminal arrests made across three midsize police departments, finding that more than 99 percent of arrests were carried out without the use of physical force. In 98 percent of the cases in which those officers did use physical force, suspects “sustained no or mild injury.”
Historical context is important, too. In 1971, New York City Police discharged their firearms 810 times, wounding 221 people and killing 93. By 1990, those numbers were down to 307, 72, and 39, respectively. In 2016, police discharged their weapons just 72 times, wounding 23, killing 9. This is real progress; but it would come as news to anyone observing the mobs that have spent the last few days hurling insults, rocks, and Molotov cocktails at exhausted and demoralized members of the NYPD.
As troubling as cases like that of George Floyd are, we must remember that they are outliers. That knowledge won’t bring comfort or justice to those harmed or killed by police who use unjustifiable force, or their families; but it can help lower the temperature in an environment that is about as inhospitable to reasonable discussion as can be imagined. …
THE DAILY CALLER weighs in:
…However, this destructive delusion has been completely demolished by a recent study that demonstrates there is no epidemic of racially biased police shootings of black people, that black citizens are not more likely to be shot by white officers, and that the shooting of unarmed people of any race is extraordinarily rare. In fact, an individual American citizen is substantially more likely to be struck by lightning than he is to be shot by the police while unarmed.
In the article, published in the Proceedings of the National Academy of Sciences, Joseph Cesario of Michigan State University and David Johnson of the University of Maryland assess hundreds of fatal police shootings since 2015. Their groundbreaking study exposes what is, at least for the anti-police mythmakers, an inconvenient truth indeed — that police shootings of citizens are not motivated by race or racism.
Here are the facts: 55% of all people fatally shot in America by the police are white — more than double the number of black (27%) or Hispanic (19%) individuals. Those police critics who accept at least this fact are generally quick to point out that black citizens are 27% of the people shot and killed by the police despite making up only 14% of the U.S. population. They say this disparity provides statistical proof of “systemic racism and bias,” but this superficial explanation doesn’t stand up. There are racial disparities in police shootings, but the disparities are not caused by racism.
According to Cesario and Johnson, who analyzed crime data from more than 200 U.S. counties, the strongest predictor of being shot by the police isn’t a person’s race, but whether the person is engaging in violent criminal behavior. Disparities across the major races in rates of police shooting are almost entirely consistent with the rates at which members of these different races are accused by victims of committing violent crimes. In other words, the greater the number of crimes committed by white individuals in a county, the more likely a white person will be shot by the police. And poor white Americans in Appalachia, for example, often are involved in police shootings. But, the greater number of crimes committed by black individuals in a county, the more likely it is that a black person will be shot by the police. The same is true for Hispanic individuals.
It’s not “systemic racism” that makes it more likely that a person will be shot by the police; it is how mathematically likely that person is to be committing crime. An individual’s behavior, not his race, is the determining factor.
The claim that racial bias on the part of individual officers is the cause of racial disparities in police shootings was also specifically found to be untrue. The researchers determined that: “The race of the officer doesn’t matter when it comes to predicting whether a black or white citizen will be shot.” White officers are no more likely to shoot a black person than are black or Hispanic officers. Not only is racial bias on the part of individual officers not a significant predictor of police shootings of black people, but also, remarkably, police officers off all races are statistically less likely to shoot a black than a white person under the same circumstances….
Hold officers accountable who use excessive force. But there’s no evidence of widespread racial bias.
By Heather Mac Donald June 2, 2020
George Floyd’s death in Minneapolis has revived the Obama-era narrative that law enforcement is endemically racist. On Friday, Barack Obama tweeted that for millions of black Americans, being treated differently by the criminal justice system on account of race is “tragically, painfully, maddeningly ‘normal.’ ” Mr. Obama called on the police and the public to create a “new normal,” in which bigotry no longer “infects our institutions and our hearts.”
Joe Biden released a video the same day in which he asserted that all African-Americans fear for their safety from “bad police” and black children must be instructed to tolerate police abuse just so they can “make it home.” That echoed a claim Mr. Obama made after the ambush murder of five Dallas officers in July 2016. During their memorial service, the president said African-American parents were right to fear that their children may be killed by police officers whenever they go outside.
Minnesota Gov. Tim Walz denounced the “stain . . . of fundamental, institutional racism” on law enforcement during a Friday press conference. He claimed blacks were right to dismiss promises of police reform as empty verbiage.
This charge of systemic police bias was wrong during the Obama years and remains so today. However sickening the video of Floyd’s arrest, it isn’t representative of the 375 million annual contacts that police officers have with civilians. A solid body of evidence finds no structural bias in the criminal-justice system with regard to arrests, prosecution or sentencing. Crime and suspect behavior, not race, determine most police actions.
In 2019 police officers fatally shot 1,004 people, most of whom were armed or otherwise dangerous. African-Americans were about a quarter of those killed by cops last year (235), a ratio that has remained stable since 2015. That share of black victims is less than what the black crime rate would predict, since police shootings are a function of how often officers encounter armed and violent suspects. In 2018, the latest year for which such data have been published, African-Americans made up 53% of known homicide offenders in the U.S. and commit about 60% of robberies, though they are 13% of the population.
The police fatally shot nine unarmed blacks and 19 unarmed whites in 2019, according to a Washington Post database, down from 38 and 32, respectively, in 2015. The Post defines “unarmed” broadly to include such cases as a suspect in Newark, N.J., who had a loaded handgun in his car during a police chase. In 2018 there were 7,407 black homicide victims. Assuming a comparable number of victims last year, those nine unarmed black victims of police shootings represent 0.1% of all African-Americans killed in 2019. By contrast, a police officer is 18½ times more likely to be killed by a black male than an unarmed black male is to be killed by a police officer.
On Memorial Day weekend in Chicago alone, 10 African-Americans were killed in drive-by shootings. Such routine violence has continued—a 72-year-old Chicago man shot in the face on May 29 by a gunman who fired about a dozen shots into a residence; two 19-year-old women on the South Side shot to death as they sat in a parked car a few hours earlier; a 16-year-old boy fatally stabbed with his own knife that same day. This past weekend, 80 Chicagoans were shot in drive-by shootings, 21 fatally, the victims overwhelmingly black. Police shootings are not the reason that blacks die of homicide at eight times the rate of whites and Hispanics combined; criminal violence is.
The latest in a series of studies undercutting the claim of systemic police bias was PUBLISHEDin August 2019 in the Proceedings of the National Academy of Sciences. The researchers found that the more frequently officers encounter violent suspects from any given racial group, the greater the chance that a member of that group will be fatally shot by a police officer. There is “no significant evidence of antiblack disparity in the likelihood of being fatally shot by police,” they concluded.
A 2015 Justice Department analysis of the Philadelphia Police Department found that white police officers were less likely than black or Hispanic officers to shoot unarmed black suspects. Research by Harvard economist Roland G. Fryer Jr. also found no evidence of racial discrimination in shootings. Any evidence to the contrary fails to take into account crime rates and civilian behavior before and during interactions with police.
The false narrative of systemic police bias resulted in targeted killings of officers during the Obama presidency. The pattern may be repeating itself. Officers are being assaulted and shot at while they try to arrest gun suspects or respond to the growing riots. Police precincts and courthouses have been destroyed with impunity, which will encourage more civilization-destroying violence. If the Ferguson effect of officers backing off law enforcement in minority neighborhoods is reborn as the Minneapolis effect, the thousands of law-abiding African-Americans who depend on the police for basic safety will once again be the victims.
The Minneapolis officers who arrested George Floyd must be held accountable for their excessive use of force and callous indifference to his distress. Police training needs to double down on de-escalation tactics. But Floyd’s death should not undermine the legitimacy of American law enforcement, without which we will continue on a path toward chaos.
Sean Hannity had Larry Elder (lawyer/radio talk show host, author) and Leo Terrell (a well-known civil rights attorney and radio talk show host) on his radio program to discuss the event in Minnesota. Apparently, Larry has been chomping at the bit to lay into Leo? I know why… the lie that the Left, the Media, and lawyers like Leo spread about racist cops and racial divides in America are what have contributed in great part (as well as other areas where the Left hurts the minority community — welfare, affirmative action, fatherless homes, etc.) to what we see happening in parts of our nation as I type. And Leo is a figure head in protecting this horribly negative ethos in the black community. Larry takes it personally.
ROUND ONE
PART ONE is the opening salvo… Leo Terrell had no idea “The Sage from South Central” came to scrap… and Leo never recovered. You will notice at times Hannity trying to be referee, because Leo is in the ring with someone above his weight class.
ROUND TWO
PART TWO Larry discusses police shooting stats by ethnicity, the absence of fathers, Hannity defends Leo because Leo is in the ring with someone above his weight class and Sean feels bad.
ROUND THREE
PART THREE Hannity discusses Trump responding quickly, as well as bringing up the Minneapolis prosecutor saying he has evidence that does not meet the charges. Leo because Leo is in the ring with someone above his weight class and Sean feels bad.
“I will say this. That video is graphic, horrific and terrible and no person should do that. But my job in the end is to prove that he violated a criminal statute. And there is other evidence that does not support a criminal charge. We need to wade through all of that evidence to come to a meaningful determination and we are doing that to the best of our ability.” – Michael Freeman (RIGHT SCOOP)
ROUND FOUR
PART FOUR Hannity brings up Obama’s quote about the issue of these recent riots (see RED STATE for more). Leo Terrell slams Obama, then Larry brings up Obama’s abysmal record on racial issues during his Presidency.
ROUND FIVE
PART FIVE Hannity notes there are a high majority of great police officers, Leo basically agree… sorta. Larry Elder gets his parting shots in and he expands on “institutional racism” canard.
