Positive PCRs decline after WHO instructs to lower cycle thresholds.

Original news article: https://cienciaysaludnatural.com/las-pcr-positivas-disminuyen-despues-de-que-la-oms-instruye-reducir-los-umbrales-de-ciclos/

By accepting excessive cycle thresholds for C0V¡D PCR testing, CDC greatly expanded the number of C0V¡D-positive cases and hospitalizations, as well as deaths. Instructions to reduce cycling thresholds for PCR testing, recently issued by WHO, significantly decreased the number of cases and hospitalizations with C0V¡D, this decrease may give the impression that it was caused by the use of C0V¡D injections, but this is not the case.

The Centers for Disease Control, CDC applied various statistical techniques to deal with the anomalous data before publishing cause-of-death results. The raw death data are not made publicly available.
If C0V¡D is listed as one of the contributors to a death on the death certificate, even if the death is caused by cancer or a heart attack, CDC labels it as a death caused by C0V¡D.
Because Medicare pays hospitals several times more for patients given a C0V¡D diagnosis, and a positive C0V¡D test is not required, it is assumed that the C0V¡D diagnosis is liberally applied to hospitalized patients.
By changing the methods by which it makes its calculations, CDC has made it impossible to compare statistics from the previous year with the period since the onset of C0V¡D.
Hospitalization rates associated with Covid have fallen from a high of 132,500 Americans on January 6 to 71,500 on February 12. The US had 920,000 staffed hospital beds in 2019, of which 14.4% harbored Covid cases last month and is now 7.8% .

This tremendous drop was already announced every hospitalized patient is tested for Covid, often repeatedly, using PCR tests with high false positive rates. The false positives are largely due to exorbitant cycle thresholds. This refers to the maximum number of duplications that are allowed during the test. The problem caused by excessive cycle thresholds was well described in a NY Times article last August, but the media has otherwise ignored it. Dr. Sin Hang Lee challenged the FDA on exorbitant cycling thresholds in its acceptance of Pfizer’s Covid-19 vaccine efficacy claims in early December.

On Dec. 14 and again on Jan. 20, WHO instructed PCR test users and manufacturers that PCR cycle thresholds should be lowered. The Dec. 14 guidance expressed WHO’s concern regarding ” an elevated risk of false SARS-CoV-2 results ” and noted that “background noise may lead to a sample with a high cycle threshold value result being [incorrectly] interpreted as a positive result.”

The first instruction has been replaced by the second, which further advises on the clinical use of the test : if the ” test results do not correspond with the clinical presentation, a new sample should be taken and retested … ” While this implies that the test should only be performed on symptomatic individuals, and its results should be interpreted taking into account the clinical context.

Most PCR tests in the U.S. are used very differently: to screen asymptomatic people at work, at colleges and universities, to allow border crossings, etc. no caution is applied to the results.

A single positive test defines someone as a Covid case. However, it is well known, and was recognized in the January WHO guidance, that screening in situations of low prevalence of Covid, such as in asymptomatic screening, increases the risk of false positives. And the risk increases as disease prevalence decreases, so that in situations of low disease prevalence, it is common to find that most positives are actually false positives. For example, see this graph from BMJ and then the real life example in the comment below.

Even Tony Fauci admitted last July (see video below) that cycle thresholds above 35 did not measure correctly and furthermore, the virus could not be grown from samples that required a large number of cycles to show positivity.

But the propaganda of the Coronavirus Working Group and some academics and others was “Test for all, Test often,” despite the inordinate number of false positives and negatives. Congress repeatedly appropriated many billions of dollars for testing (often free to the person being tested) and thus testing multiplied rapidly.

Nearly two million Covid tests per day were recorded in the U.S. over the past 3 months. Most of these have been PCR tests which, despite their problems, are still considered the most accurate. Most of the remaining tests performed were rapid antigen tests. These tests also suffer from high false positive rates, as the FDA warned last November .

Link to video: https://www.bitchute.com/video/VZgCkxlAwraM/

While daily deaths have only declined about 15% since January 12, there have been dramatic drops during the month in new cases (down 60% from 250,000 new cases/day to 100,000) and, as noted, in hospitalizations (down 46%). Reports claim that a total of 475,000 Americans have died from Covid. However, none of these numbers are reliable. In addition to inaccurate PCR results, a variety of other measures have skewed the reported number of Covid deaths.

While CDC electronically codes other causes of death, they have opted to manually code each Covid death and explain:

“More time is needed to code COVID-19 deaths. While 80% of deaths are processed and coded electronically by National Center for Health Statistics, NCHS in minutes, most COVID-19 deaths must be coded by one person, which takes an average of 7 days.”

Still not released by CDC on the Freedom of Information Act, the protocol CDC coders use to code Covid-19 as a cause of death. Why does CDC treat Covid deaths differently than deaths due to other conditions?

CDC changed the way they coded death certificates for a death caused by Covid

CDC changed the way it coded death certificates for a death caused by Covid last March to include all people for whom Covid contributed in some way to the death. By placing different parts of the coding instructions on different web pages, the CDC successfully concealed what they were doing. On one page, the guidance says, ” If COVID-19 is determined to be a cause of death, it should be reported on the death certificate.” On a different web page, CDC states : ” When COVID-19 is reported as a cause of death on the death certificate, it is coded and counted as a death due to COVID-19″.

CDC has encouraged providers to be generous with Covid designations . And the definition of Covid death appears to be a moving target , variable among states. The CDC tries to explain why their mortality numbers don’t add up and includes this excuse: “Other reporting systems use different definitions or methods to count deaths.” But it was the CDC that decided not to issue uniform guidelines.

Anyone with a positive Covid test who dies within 30 days of the test is counted as a death due to Covid, even if Covid is not even mentioned on the death certificate in Nevada. Colorado coroners are forced to list gunshot wound deaths as due to Covid if the victim had a recent positive test. The Oregon health agency reported last August that:
“We consider COVID-19 deaths to be: Deaths in which a patient hospitalized for any reason within 14 days of a positive COVID-19 test result dies in the hospital or within 60 days of discharge. Deaths in which COVID-19 is listed as a leading or contributing cause of death on a death certificate.”

CDC estimates that many deaths, perhaps half, that list generic pneumonia as a cause of death are actually Covid deaths and redesignates them as deaths caused by Covid.
CDC created a new statistical category for deaths, titled Pneumonia, Influenza and COVID-19, or PIC , to facilitate this redesignation .
CDC admitted that:
Weekly mortality surveillance data include a combination of machine-coded and manually collected causes of death collected from death certificates. Prior to week 4 (the week ending January 30, 2021), the percentages of CIP deaths were higher among manually coded records than among the more rapidly available machine-coded records . Improvements have been made to the machine coding process that allow more COVID-19-related deaths to be coded, and in the future, the percentage of CIP deaths between machine-coded and manually coded data is expected to be more similar. The data presented are preliminary and are expected to change as more data are received and processed, but the amount of change in the percentage of deaths due to CIP should be less in the future. The weeks in which the largest changes in the percentage of deaths due to ICP may occur are highlighted in gray in the figure below and should be interpreted with caution.

More than 200 different CRP tests have been “cleared” under emergency rules by the FDA, which so far has not standardized or formally approved them. The public does not know if and how each individual test may have changed in response to WHO instructions, and we remain uninformed about the accuracy of each test. In fact, the American College of Pathology has stated that PCR test results are not reproducible.

By manually coding each death due to Covid, the CDC gave itself the power to determine how many Covid deaths would be counted at any given time. And by creating exceedingly vague case definitions for Covid, several of which did not require a single sign of illness, just a positive test, CDC was able to gauge the number of positive Covid cases by the speed at which they implemented the tests.

Today, the media tells us to rejoice. Maryland just got its percentage of positive Covid tests below 5%, when a month ago the rate was 8.76% . In my state of Maine, a reduction in the percentage of test results that are positive has turned all counties “green,” allowing schools to be open.



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