Government Data Destroys Public Official Covid Claims, Covid-19 Deaths, Cases, Hospitalization

Updated: Aug 18, 2021

The Follow the Science Crowd Needs to Start Practicing What They Preach


The Evidence: As Documented by the Government's Own Data and Research:


This posts provides clear definition and attribution standards for Covid-19 deaths, hospitalizations, Covid-19 breakthrough cases and linked public health documentation highlighting severe Covid-19 testing method protocol and method issues. Existing hospital bed shortages and staffing shortages are used to bolster Covid-19 hospital shortage claims


Most media (both MSM & independent) has abdicated their duty to review extensively available public health organization data & panel peer review research documenting current Covid-19 testing as unsuitable for detection of Sars CoV2, (virus attributed to cause Covid-19 infection) & undermines the credibility & validity of all case, morbidity, and research studies utilizing faulty methods to ascertain baseline data.


Covid-19 attribution standards are unscientific with non-specific criteria for assigning a Covid-19 infection, case, or mortality, and capture non-Covid-19 illness by DESIGN of protocols. WHO advises 'clinically compatible illnesses' to be classified as Covid-19 infections, the standard used by the CDC.


Journalism 101 Question 1:

What is the criteria for a hospitalization to be attributed to Covid-19 infection?


The CDC surveillance system tracks cases on the basis of positive tests:


How COVID-NET Calculates Hospitalization Rates


Hospitalization rates are calculated by the number of residents of a defined area who are hospitalized with a positive SARS-CoV-2 laboratory test divided by the total population within that defined area.


This standard tells us NOTHING of actual reason for patient admission. It counts individuals with a positive test as a case, it does not ascertain actual reason for admission, the actual criteria which should inform Covid-19 hospitalizations.


New Hospital Admissions


CDC latest 7 day average report individuals hospitalized WITH Covid (per above measurement guideline)


The current 7-day average for August 4–August 10 was 10,072. This is a 29.6% increase from the prior 7-day average (7,771) from July 28–August 3. The 7-day moving average for new admissions has consistently increased since June 25, 2021. New admissions of patients with confirmed COVID-19 are currently at their highest levels since the start of the pandemic in Florida, Louisiana, and Oregon.


A Positive Test is NOT a Case As Defined by the World Health Organization


The CDC and state reporting agencies are treating a positive tests as a case. This standard goes against WHO criteria listed in the December 14 2020 statement update to include SYMPTOM presentation in diagnosis of Covid-19 cases and warns of significant reliability and accuracy issues.

Due to the probability of errors with the tests, the WHO organization advised that symptom presentation should be included in ascertainment of diagnosis"


"As with any diagnostic procedure, the positive and negative predictive values for the product in a given testing population are important to note. As the positivity rate for SARS-CoV-2 decreases, the positive predictive value also decreases. This means that the probability that a person who has a positive result (SARS-CoV-2 detected) is truly infected with SARS-CoV-2 decreases as positivity rate decreases, irrespective of the assay specificity. Therefore, healthcare providers are encouraged to take into consideration testing results along with clinical signs and symptoms, confirmed status of any contacts, etc".


This statement completely destroys the 'asymptomatic case' narrative as WHO ascribes severe testing problems as driving false positives results and issued statement to include SYMPTOMS for diagnostic assessment.


Additionally, Sars CoV2 testing is severely flawed and unsuitable for detection of Sars CoV2. Credible expert peer review panel has deemed the central RT PCR test 'useless' for detection of the virus.


Full documentation on severe flaws with Covid-19 testing (all methods) may be reviewed here and here and here. Please read this documentation before proceeding with this article.


Journalism 101 Question 2:

What is the criteria for attribution of Covid-19 to a mortality?



With...Presumed....and Clinically Compatible


CDC Uses WHO Standards to Attribute Covid-19 Mortality:


INTERNATIONAL GUIDELINES FOR CERTIFICATION AND CLASSIFICATION (CODING) OF COVID-19 AS CAUSE OF DEATH


https://www.cdc.gov/nchs/covid19/coding-and-reporting.htm


"DEFINITION FOR DEATHS DUE TO COVID-19 A death due to COVID-19 is defined for surveillance purposes as a death resulting from a clinically compatible illness, in a probable or confirmed COVID-19 case, unless there is a clear alternative cause of death that cannot be related to COVID disease (e.g. trauma).


A clinically compatible illness.

Chart Documenting Guidelines for Covid-19 Mortality Attribution

ASSUMED is the standard.


The WHO standard advises attribution of 'compatible' illness (i.e. NOT Covid-19) unless there is a clear alternative explanation (trauma). Pneumonia is a clinically compatible illness. Flu is a clinically compatible illness. The WHO advises ALL of these illnesses to be COUNTED as Covid-19 deaths. By DESIGN, this standard will sweep up all deaths with clinical associations of illness SIMILAR to Covid-19 and label it a Covid-19 death.


This standard is fraudulent. It allows the government to claim Covid-19 on a complete lack of scientific evidence and provides the media false data to report cases not based on actual PROVEN infection with Sars CoV2.


Covid-19 deaths are attributed according to a positive Covid-19 test or symptom presentation. As above, the testing is unsuitable for detection of Sars CoV2 (it is non-specific, detect both live and dead material, and run at Cycle Threshold rates which produce false positive results by default of setting due to over amplification of test sample material, again. Symptom presentation is not a good indicator of mortality as Covid-19 symptoms mirror many other respiratory and other illness symptoms of other diseases.


Again, per the CDC:


" For over 5% of these deaths, COVID-19 was the only cause mentioned on the death certificate. For deaths with conditions or causes in addition to COVID-19, on average, there were 4.0 additional conditions or causes per death. For data on deaths involving COVID-19 by time-period, jurisdiction, and other health conditions",


95% of Covid-19 deaths had four OTHER conditions or causes per death.


Presumed deaths are counted as Covid-19 deaths:


[1] Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1


The media is (again) engaging in a twenty four seven fear fest around Covid-19 infection cases. Let's take a look at this week's data:


Chart for current death attribution to Covid-19 ASSOCIATED deaths: (CDC Chart for week ending August 7, 2021)


1,170 Covid-19 associated deaths assigned through testing that is non-specific and unsuitable for detection of Sars CoV2 (virus attributed to cause Covid-19 symptoms) with parameters to count CLINICALLY compatible illness as death. THIS is what the media has been fear mongering over night and day.


The illness of pneumonia/influenza (which disappeared last year because WHO guidelines instructed deaths to be classified as Covid-19 under the 'clinically compatible' standard:



46% of individuals with Covid-19 attributed 'clinically compatible' illness had pneumonia or the flu.


Scientific American blatantly lied to the public in the following article about why the flu disappeared, crediting the decrease to success of distancing methods and masking which did NOTHING to stop Covid-19 infection cases from soaring, ALL of this due to Covid-19 attribution methods which WHO instructs to count as Covid-19 cases and faulty testing. The flu did NOT disappear: HALF OF Covid-19 cases were the flu.


Flu Has Disappeared for More Than a Year


10% had sepsis (a SEVERE blood infection).


13.1 had Alzheimer's, a ultimately fatal diagnosis


Deaths are not increasing because faulty testing and attribution methods are driving Covid-19 case numbers NOT infections:


Recent articles, 8/17/2021


Indiana

ISDH: 1,902 new COVID-19 cases; no deaths


Maine:

Maine sees 188 new COVID-19 cases, no new deaths


New Mexico

New Mexico reports no new deaths, 1,309 additional COVID-19 cases over three-day period


Quebec:

No New Deaths Reported, 323 new COVID-19 cases


Arizona:

2,4000 New Cases, No New Deaths


There are dozens of these reports, just search no new deaths, new cases.


Florida Numbers, Hospitalizations: Exposing the Media Myth:


Florida is currently in the news as a 'hot spot' for Covid-19 cases.


Let's look at the ACTUAL data:


286 deaths in one week based on attribution method of 'assumed' deaths which include criteria to label Covid-19 morbidity on the basis of compatible illness:



Please note the ZERO percent morbidity rate in the under 30 population as the media screams about child deaths and risks.


Currently, the media is hyping a small hospital in Jacksonville Florida is 'overrun' with Covid-19 ATTRIBUTED cases.


94 cases for a population center of 929,637 in ONE small hospital.


The entire COUNTY of Duval which Jacksonville is located retains over 24% capacity for adult ICU beds and 28% capacity for pediatric ICU beds. There is NO ICU bed crisis in this county:


This interactive map of hospital beds shows nearly ALL are UNDER capacity in Florida.


Additionally, hospital bed shortages & staffing shortages are STATUS quo & have been a growing crisis for decades. The push to mandate vaccinations for health care workers who do not want them is going to create a truth public health threat.


Same thing in Alabama:


Huge Cases driven by testing: Flat Deaths: (as of August 18 2021)

Here is the death chart (note when you click the link, the state has set the chart to appear for deaths in January making it APPEAR there is a spike NOW, click the expand for actual chart representation):



Alabama has lost SEVENTEEN hospitals in the last ten years. There is an ONGOING staffing and bed shortage which CNN is now attempting to act as if driven by mass Covid-19 hospitalizations. Search for hospital beds is STATUS quo.


CNN hyped this headline to make it appear Covid-19 was driving ICU shortages:


Alabama has no available ICU beds while thousands of students quarantine in New Orleans and Florida


This is what they were fear mongering over:


"Alabama has 1,557 staffed intensive care unit beds and on Tuesday, there were 1,568 patients in need of ICU care".


Alabama Population 2021

4,934,193


This is not atypical for a population of nearly 5 million people.


The media is manufacturing a false story to drive the illusion of a Covid-19 crisis in Florida & Alabama that is NOT happening. No context of nearly non-existent deaths. No context that a positive test does NOT mean individual is hospitalized for Covid-19 attributed infection. No reporting on how the testing is attributing other illness to Covid-19 by design of the standards and unsuitable for detection of the Sars CoV2.


Journalist 101 Question 3:

How is a breakthrough case attributed? (per CDC website)


The CDC is NOT counting vaccinated people as a Covid-19 case UNLESS there is a death or hospitalization associated (with a positive test or symptom presentation).


This obviously will drive down the number of actual REPORTED cases of vaccinated individuals with a positive test, and give the ILLUSION that unvaccinated individuals are testing at higher rates. It's sleight of hand.


This is why the CDC includes this caveat:


'The number of COVID-19 vaccine breakthrough infections reported to CDC likely are an undercount of all SARS-CoV-2 infections among fully vaccinated persons'.


Of course it is...they aren't reporting MOST cases. The vaccine works! It's magic!


It gets worse. Covid-19 cases will have different Cycle Threshold reporting standards for vaccinated versus unvaccinated individuals. High RT PCR Sars CoV2 (Covid-19) threshold rates were found to create up to 90% false positives in research trial which corrected for the error. The FDA recommends a level that produced the false positives by default due to this setting level over amplification of sample material which picks up dead non infectious material. Full explanation and documentation of this issue may be reviewed here with source links.


(For documentation on why faulty testing, and NOT asymptomatic infection is responsible for individual's testing positive without symptoms, please review the evidence HERE)


In sum, the CDC lowers the Cycle Threshold rate which will produce far fewer false positives and keeps in place a CT rate which generates up to 90% false positives for non vaccinated individuals.


And, not ONE test result is definitive evidence of Sars CoV2 presence as the tests are non specific and 'useless' for detection of the virus per 22 expert panel peer review study.


This allows the CDC to point to this data and state unvaccinated persons are at higher risk of Covid on completely manipulated and fraudulent testing design methods.


THIS is the science we are told to trust.

There is really no such thing as a 'breakthrough case' of Covid-19 because there is no credible diagnostic standard for attribution of a Covid-19 case, at all.


The reason that the CDC has kept the standard of counting Covid-19 attributed cases for hospitalization and deaths is simple. It allows the agency to attribute the cause of death or hospitalization to Covid-19 (although from the above case criteria definition, this in no way establishes a true causality of death or hospitalization). The media is not providing due diligence in reporting and dismissing post vaccination with positive test results or symptom presentation as Covid. This allows the FDA to circumvent actual investigation into vaccine causality in relation to the death. This should occur with ALL post Covid-19 vaccination deaths as FDA only granted Emergency, Investigative use approval to current Covid-19 inoculations. The letters EUA's are linked in this blog.


None of the above is conspiracy. All of it is clearly documented by the public health organization own data. Instead of reviewing this data and objectively reporting the Covid-19 in context, media outlets smear anyone questioning government narratives. It as descended to the level to cite evidence from public health organization data will get a person smeared as 'conspiracy theorist'. How long are citizens of goodwill going to allow this insanity to continue and vest ANY faith is sources which fail to provide the most basic oversight of government health directives?


What IS conspiracy is a 24 7 fear campaign to drive policies destroying individual and public health to drive POLITICAL agendas of economic and social control and label it as protection for a cold virus....


Even if one takes the severely flawed & compromised data presented at face value with no caveat or corrections, the government's health directives are ludicrous and disproportional to the 'threat':


Oxford studies demonstrate up to EIGHT SIX PERCENT of individuals with a positive PCR test have NO symptoms of Covid-19.


14% symptom presentation rate: Over 80% have no symptoms:


The CDC data shows survival rates of 99.95 percent for all populations except those over 65 who still have a BETTER outcome with infection than documented through vaccination at 95%. (all populations have a better outcome with Covid-attributed infection diagnosis then vaccine outcomes - a point that the media and public health officials fail to point out):


CDC Sars CoV2 Fatality Ratio Chart:


Infection Fatality Ratio: Survival rate


0-19 years: 0.00003 99.97


20-49 years: 0.0002 99.98


50-69 years: 0.005 99.5


70+ years: 0.054 94.5


Covid-19 vaccinations are admitted to NOT stop transmission of the virus (thus making the inoculations useless as a public health measure to contain disease) and have associated side effects at great rates and severity than individuals will experience with a positive RT PCR test for Covid 19. Full documentation and CDC side effect statistics may be viewed HERE.


It is time to have the Covid-19 conversation on hard data and not the media and public health official fear mongering and talking points. Public health organization data clearly documents Covid-19 attributed illness is not a significant threat to the population to justify or rationalize any current health directives. And, the people who mouth follow the science should actually start practicing what they preach.



























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