Coronavirus

[Dachsie]

https://www.instagram.com/p/B-o-YE_j...mpaign=loading

Word up,can you handle the truth my brother only love HH In three short months, just like He did with the plagues of Egypt, God has taken away everything we worship. God said, "you want to worship athletes, I will shut down the stadiums. You want to worship musicians, I will shut down Civic Centers. You want to worship actors, I will shut down theaters. You want to worship money, I will shut down the economy and collapse the stock market. You don't want to go to church and worship Me, I will make it where you can't go to church" "If my people who are called by my name will humble themselves and pray and seek my face and turn from their wicked ways, then I will hear from heaven and will forgive their sin and will heal their land." Maybe we don't need a vaccine, Maybe we need to take this time of isolation from the distractions of the world and have a personal revival where we focus on the ONLY thing in the world that really matters. Jesus.

A post shared by Hulk Hogan (@hulkhogan) on Apr 6, 2020 at 5:57am PDT

[monty]

The latest Jon Rappoport April 10

COVID: two vital experiments that have never been done

Apr10 by Jon Rappoport

Why not? Because they would expose this vicious farce, the criminals perpetuating it, and end the lockdowns.

by Jon Rappoport
April 10, 2020

(To join our email list, click here.)

The first experiment would confirm or deny the accuracy of the PCR diagnostic test. The experiment would reveal whether this widespread test for COVID-19 can actually predict illness in the real world, in humans, not in the lab.

This experiment has never been done. It should have been done before the PCR was ever permitted to make claims about THE QUANTIY OF VIRUS that is replicating in a patient’s body.
Quantity is vital, because, in order to even begin talking about whether a virus can cause disease, millions and millions of virus must be actively replicating in a patient’s body.

Here is the experiment. Assemble a group of 500 volunteers, some sick, some healthy. Take tissue samples from them, and give the samples to PCR technicians. The technicians will never see or know who the 500 volunteers are.

The techs run these samples through the PCR. For each sample, they report which virus they found, and how much of it they found.

“In patients 34, 57, 83, 165, and 433, we found a great deal of the following disease-causing viruses.”

Now we un-blind those specific patients. By the test results, they should all be sick. Are they? Aren’t they? Then we would know. We would know how accurate and relevant the test is in the real world.

Of course, this is not the end of the experiment. The same samples should have been given to a whole other set of PCR techs to run. Did they come up with the same results the first set of PR techs did?

Several new groups of 500 patients each should be enlisted, and still more sets of lab techs should repeat the experiment, ending up with confirmation or rejection of the initial findings. This is the way the scientific method is supposed to work.

In the absence of this experiment, the quantitative PCR must be looked at as a rogue hypothesis that should never have been foisted on the public. It should never be used as the basis for determining case numbers of any disease.

In the “COVID-19 crisis,” all case numbers derived from the PCR should be thrown out.
The second vital experiment concerns the discovery of a new virus—in this case, COVID-19.
First of all, there is no lab procedure that can climb inside the human body in real time and record the active replication of millions of virus. The closest you can come involves the use of electron microscopy.

Suspecting the existence of a new disease-causing virus, researchers should line up, at the very least, several hundred people who seem to have the new disease. Tissue samples should be taken from them. Using correct steps of centrifuging these samples, specimens of the results should be examined and photographed under the electron microscope.

In every one of the several hundred photos, do the researchers see many identical particles of a virus they’ve never seen before; and do the researchers see that these many particles are the same from photo to photo?

If so, and if more than one group of researchers independently carrying out this procedure on the patients’ tissue samples achieves the same result…then, this is as close as you can come to saying you’ve discovered a new disease-causing virus.

Other researchers with other patients should attempt to replicate the above findings.

This vital experiment has never been done in the case of COVID-19. Not even close. Therefore, researchers can’t make a true claim to have discovered a new disease-causing virus.

In the absence of the two vital experiments I’ve described in this article, all you’re left with, concerning a single “COVID-19” pandemic and a single new cause, are: anecdote, rumor, gossip, conjecture, speculation, bad science, and lies.

Plus the horrendous damage from all the consequences of lockdowns based on those lies.

TURN ON THE ECONOMY.

[Dachsie]

I wonder how they came up with Coronavirus - Covid 2, Covid 3...Covid 19.

Scientists seem to lie in their studies and then the lies get officially propagated by the Mockingbird media.

Francis Boyle, a true expert on bioweapons, has said that this Covid 19 strain is a man-made, weaponized type of virus, and he feels comfortable in saying that the virus somehow became released from the Wuhan bioweapons laboratory, but he says he does not know anything about how or why the virus became released. The Chinese female spy scientist who was very much associated with this particular virus strain is now POw-MIA. We will never hear from her again.

I feel obligated to go along with wearing the mask when I go out just to go along with the protocols in order to get the medical appointments I need right now, though more of my doctor appointments are happening via telemedicine on my computer.

The medical establishments I have been interfacing with last few months are really in total disarray. Hospitals are very dangerous places to be as staff miscommunications are rampant. I always take notes on a paper notebook when I interface with medical personnel. I need to understand exactly what is going on on my case. I am not the kind of patient wanted by doctors these days. I expect to be informed about my case and getting the info is like pulling teeth.

Did not mean to get off on a tangent.

[Dachsie]

Here is the video version of the April 8 Raw Deal show, last Wednesday.

https://153news.net/watch_video.php?v=2B3D7AXH7541


JIM FETZER "The Raw Deal" (4-8-20) Review of evidence of a political "plannedemic"
Gus Chambers

[Dachsie]

Here is an official CDC directive to all the states for reporting of mortality statistics. I read this to clearly be instructing to put Covid 19 as the cause of death even if you are only assuming that to be true.

_________________________

…https://www.cdc.gov/nchs/data/nvss/c...ths.pdf…




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A student Of historylol at the idiots getting a vaccine in this chat

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jsnip4https://www.cdc.gov/nchs/data/nvss/co...

Zickafoose2020I NEED THAT COUCH SNIP WHERE DID YOU GET IT

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CryptoDuke



…https://www.cdc.gov/nchs/data/nvss/c...ths.pdf…

COVID-19 Alert No. 2March 24, 2020 New ICD code introduced for COVID-19 deaths.

This email is to alert you that a newly-introduced ICD code has been implemented to accurately capture mortality data for Coronavirus Disease 2019 (COVID-19) on death certificates.
Please read carefully and forward this email to the state statistical staff in your office who are involved in the preparation of mortality data, as well as others who may receive questions when the data are released.

What is the new code?

The new ICD code for Coronavirus Disease 2019 (COVID-19) is U07.1,
and below is how it will appear in formal tabular list format. U07.1 COVID-19Excludes: Coronavirus infection, unspecified site (B34.2) Severe acute respiratory syndrome [SARS], unspecified (U04.9)

The WHO has provided a second code, U07.2, for clinical or epidemiological diagnosis of COVID-19 where a laboratory confirmation is inconclusive or not available. Because laboratory test results are not typically reported on death certificates in the U.S., NCHS is not planning to implement U07.2 for mortality statistics.

When will it be implemented?

Immediately. Will COVID-19 be the underlying cause? The underlying cause depends upon what and where conditions are reported on the death certificate. However, the rules for coding and selection of the underlying cause of death are expected to result in COVID-19 being the underlying cause more often than not.

What happens if certifiers report terms other than the suggested terms?
If a death certificate reports coronavirus without identifying a specific strain or explicitly specifying that it is not COVID-19, NCHS will ask the states to follow up to verify whether or not the coronavirus was COVID-19. As long as the phrase used indicates the 2019 coronavirus strain, NCHS expects to assign the new code. However, it is preferable and more straightforward for certifiers to use the standard terminology (COVID-19).

What happens if the terms reported on the death certificate indicate uncertainty?

If the death certificate reports terms such as “probable COVID-19” or “likely COVID-19,” these terms would be assigned the new ICD code. It Is not likely that NCHS will follow up on these cases. If “pending COVID-19 testing” is reported on the death certificate, this would be considered a pending record. In this scenario, NCHS would expect to receive an updated record, since the code will likely result in R99. In this case, NCHS will ask the states to follow up to verify if test results confirmed that the decedent had COVID-19.

Do I need to make any changes at the jurisdictional level to accommodate the new ICD code?

Not necessarily, but you will want to confirm that your systems and programs do not behave as if U07.1 is an unknown code.

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. Certifiers should include as much detail as possible based on their knowledge of the case, medical records, laboratory testing, etc. If the decedent had other chronic conditions such as COPD or asthma that may have also contributed, these conditions can be reported in Part II. (See attached Guidance for Certifying COVID-19 Deaths)

Steven Schwartz, PhDDirector – Division of Vital StatisticsNational Center for Health Statistics3311 Toledo Rd | Hyattsville, MD 20782

[Dachsie]

I notice my comment has been HACKED.

WHO did this. Very Bad.

Here is what the HACKED entry shows...


marshmazFREE OBAMA PHONE for THE TRUTH

A student Of historylol at the idiots getting a vaccine in this chat

Cher LorenMega Troll

jsnip4https://www.cdc.gov/nchs/data/nvss/co...

Zickafoose2020I NEED THAT COUCH SNIP WHERE DID YOU GET IT

Kickn GravelWe need the ban hammer in here

Fraktheplanet bearsome y'all should flake out. obviously you know squat. or

CryptoDuke


I expect an explanation from one of the moderators on this forum.

Also, the number of views for this thread is false and inflated and that is another aberation of the computer program controlling this forum.

[monty]

I have wondered when the obesity factor would be addressed, now we have it.

NYU scientists: Largest US study of COVID-19 finds obesity the single biggest 'chronic' factor in New York City's hospitalizations

Tiernan Ray

[Correction: The headline of the article has been changed to reflect that obesity is the single most important "chronic" factor, as opposed to age, and the article has been updated to reflect the fact that age is still the single biggest factor determining admissions.]

For months, scientists have been poring over data about cases and deaths to understand why it is that COVID-19 manifests itself in different ways around the globe, with certain factors such as the age of the population repeatedly popping up as among the most significant determinants.

Now, one of the largest studies conducted of COVID-19 infection in the US has found that obesity of patients was the single biggest factor, after age, in whether those with COVID-19 had to be admitted to a hospital.

"The chronic condition with the strongest association with critical illness was obesity, with a substantially higher odds ratio than any cardiovascular or pulmonary disease," write lead author Christopher M. Petrilli of the NYU Grossman School and colleagues in a paper, "Factors associated with hospitalization and critical illness among 4,103 patients with COVID-19 disease in New York City," which was posted April 11 on the medRxiv pre-print server. (The paper has not been peer-reviewed, which should be kept in mind in considering its conclusions.)

Must read:

• Data scientists, your country needs you now
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Among other things, the presence of obesity in the study points to a potentially important role of heightened inflammation in patients -- a phenomenon that has been a topic of much speculation in numerous studies of the disease.

Petrilli and colleagues at the Grossman School, along with doctors at the NYU Langone Health center, studied the electronic patient records of 4,103 individuals who tested positive for COVID-19 in the New York City healthcare system between March 1 and April 2.

It is "the largest case series from the United States to date," write Petrilli and colleagues.

The motivation of the work, they write, was that "understanding which patients are most at risk for hospitalization is crucial for many reasons," such as how to triage patients and how to anticipate medical needs.
Researchers looking at New York City health cases split up COVID-19 patients into clusters based on distinguishing features, including obesity, to form a "decision tree" for statistical analysis.

Petrilli et al. 2020Half of those patients were admitted to a hospital. What the researchers found is that "in the decision tree for admission, the most important features were age >65 and obesity."

Obesity, in this case, was measured as weight relative to a person's height. The authors use a metric scale, so a body mass index of 30 and higher is considered obese.

The "decision tree," which is shown in the illustration above, refers to the statistical method they used to analyze the patient data. A decision tree is a way to group members of a sample based on their shared characteristics. "For a given population, the decision tree classification method splits the population into two groups using one feature at a time, starting with the feature that maximizes the split between groups relative to the outcome in question." They keep splitting groups into smaller and smaller groups until they arrive at groups that "[have] similar characteristics and outcomes."

Note that in the decision tree, age is the initial determining factor, at the top of the tree, followed by obesity. Hence, obesity is the most significant "chronic" factor, leaving aside age. The authors had to make decisions about the splits in data at different branching points in the tree. For example, there are two buckets for age just below obesity, one being "Age 20 - 44" and another being "Age>35."

As co-author Leora Horwitz told ZDNet in an email, "the algorithm found age 35 and age group 20-44 as the most important features that increase the information gain the most, respectively."

Bear in mind that age still functions as the biggest overall single determinant. "Age is far and away the strongest risk factor for hospitalization, dwarfing the importance of obesity," Horwitz told ZDNet in email. "Obesity is the most important of the chronic conditions when considering all such conditions simultaneously."

Others have made reference to obesity in conjunction with COVID-19, to a greater or lesser extent, but without the data of the NYU group.

Writing in The Lancet on March 31st, RNA virus researcher Gregory Poland summed-up the conditions aggravating the COVID-19 situation globally: "We have an increasingly older age demographic across virtually all countries, as well as unprecedented rates of obesity, smoking, diabetes, and heart and lung disease, and an ever-growing population of people who are immunocompromised—all comorbidities that lead to significantly higher risks of severe disease and death from coronavirus disease 2019 (COVID-19)."

And Drs. David S. Ludwig and Richard Malley of Boston Children's Hospital wrote in The New York Times on March 30 that Americans' risk from the virus is compounded by the fact that they are generally "too diseased."

"The huge burden of obesity and other chronic conditions among Americans puts most of us at direct risk," they wrote. "In fact, with obesity rates in the US much higher than affected countries like South Korea and China, our outcomes -- economic- and health-wise -- could be much worse."

But what does it mean for obesity to show up as the big deciding factor for hospitalization?

Obesity is generally known to be associated with inflammation. As the NYU authors observe, "Obesity is well-recognized to be a pro-inflammatory condition." They focus on the inflammation aspect because it has been cited in several studies as being a possible factor in COVID-19, in particular, inflammations that seem to be in a hyper-activated state. But it's not entirely clear what role it plays.

"Hyperinflammatory states are well described in severe sepsis," the authors note, "however, the degree to which COVID-19 related inflammation is similar to or different than that typically found in sepsis is unknown."

Without drawing conclusions, they note that previous studies have shown that patients with COVID-19 have displayed blood clotting, or "hypercoagulability," in the form of thrombosis and embolisms.

The authors suggest that inflammation could be explored further in another study. "We did not have inflammatory markers available for non-hospitalized patients; it is possible that these would have been strong predictors for hospitalization risk as well if available."

All this is from just one geography, and so its utility may be limited, the authors acknowledge, stating, "factors associated with poor outcomes may differ elsewhere."

Given the scale of the outbreak in New York City -- the city has had 98,715 confirmed cases as of April 12 and 6,367 deaths, according to data from Johns Hopkins -- New York City is becoming its own field of study.

For example, the same day as the NYU group, scientists at the Icahn School of Medicine at Mount Sinai reported the results of an extensive study of the genome of the virus among New York City cases. What they found was both a melting pot, as it were, of strains of the virus, and peculiar local differences.

"We find that New York City, as an international hub, provides not only a snapshot of the diversity of disease-causing SARS-CoV-2 at the global level but also informs on the dynamics of the pandemic at the local level," write the authors.

That suggests the kinds of clinical data found by the NYU researchers may at some point be combined with genetic data and other factors as scientists look at more and more factors and dig deeper into the nature of the disease.

[Dachsie]

Most interesting.



Next Step In The Agenda


13:48 video runtime

25,672 views
•Apr 26, 2020


Israeli News Live
320K subscribers

The next step they have planned for humanity may come as a shock to many. However, you watch this video you will know more about what’s coming.

Category
Nonprofits & Activism

[PatColo]

Most interesting.

he focused on the intent of vax's to stifle brain's capacity for religious belief... and that's certainly a useful angle for reaching deeply religious ppl with the anti-vax msg.

But I'd say that angle falls under the broader umbrella of the deliberate dumbing down, the chemical labotomizing intention of vax's, which (((TPTB))) find so 'useful.'

[Dachsie]

Most interesting.

We can no longer trust doctors or nurses to inject anything into us.