Posted on 08/29/2020 7:22:59 PM PDT by Hojczyk
Yup. Their game is tiddly winks, his, 3-D chess.
So it hasn’t even gotten up to H1N1s 12000...
BUMP
Here is the CDC report linked in the article. I can’t find anything to support what the article is claiming.
If someone who has better eyes than mine can look at the link to find data to support the article it would be much appreciated.
Click bait? Not at all. Did you read the whole thing? Lots of good info there.
Jim Hoft does that a lot. I pretty much don’t read anything he writes.
These “causes” of death are still “causes” of death that aren’t COVID-19.
I agree.
p
Posted on 4/19/2020, 4:47:00 AM by rintintin
"Sloppy laboratory practices at the Centers for Disease Control and Prevention caused contamination that rendered the nation’s first coronavirus tests ineffective, federal officials confirmed on Saturday.
Two of the three C.D.C. laboratories in Atlanta that created the coronavirus test kits violated their own manufacturing standards, resulting in the agency sending tests that did not work to nearly all of the 100 state and local public health labs, according to the Food and Drug Administration."
According to the NYT, the CDC's outright failure to follow their own protocols and willingness to make utterly incompetent (intentional?) mistakes, like assembling test ingredients in the same room where researchers were working on positive coronavirus samples, supposedly symbolized how unprepared the Trump administration was to deal with the outbreak. Really.
The CDC exhibited gross, unprofessional levels of negligence, violated basics of high school lab class protocols and this was somehow Trump's fault? Was President Trump supposed to don a white lab coat and follow CDC scientists around the lab, reminding them to wear masks, not to eat their lunch in the lab etc.
Also in the NYT's article, the discovery of the CDC's collosal error meant, "....the C.D.C. lost credibility as the nation’s leading public health agency...." It should have, but did it? The MSM "took a knee" saying that the CDC lost credibility and then for months afterward used that agency's name, and that of fraudster Dr. Fauci, to batter with sneering comparisons every effort President Trump made to stop the planned-demic.
I do recall many ocaisions over these past months in which the left/MSM/Deep Staters were shrieking that President Trump should listen to the "experts" at the CDC. That's what happens if you're on the Deep State's team; one week later, the CDC and Fauci were portrayed as infallible and used to smear Trump as an incompetent narcissist for trusting his own judgement over that of the CDC's pristine medical "reputation".
When the public learned that the CDC doesn't know basic math, and reported wildly inaccurate 'postive test rates' compiled from hospitals, President Trump opened a health.gov database to reliably collate the statistics. The MSM and other coup Lefties began yelling that the president was needlessly "politicizing the numbers" and portrayed the President's efforts as designed to distort the truth coming from the CDC.
Yes. After the CDC displayed epic levels of incompetence that impacted the nation's ability to test patients for about a month, the CDC then failed to report test results that were even vaguely accurate; but the MSM and traitors in our government STILL demand the President leave all decision making to the CDC. Oh, I could mention the rest of the CDC's failures during the Planned-Demic, but either of the two I already mentioned should be enough to "destroy their reputation".
I'll just leave this here:
The exact text ("6% etc.") is half way down the page under the header “Comorbidities.”
At the end of the paragraph with the exact text, there is a small box that says “Click here to download.”
The link is:
https://data.cdc.gov/NCHS/Conditions-contributing-to-deaths-involving-corona/hk9y-quqm
The title is:
“Conditions contributing to deaths involving coronavirus disease 2019 (COVID-19), by age group and state, United States.”
This is not "new data." However, it might be the first time this page has pointed out that almost all COVID deaths have a comorbidity.
At the bottom of the page is the first 14 rows of a Table that has over 12,000 rows of data.
It looks like you can download all 12,000 rows, but I do not want a file like that in my computer, so I did not try to do that.
Essentially - the 6% “COVID alone” number is the same way the CDC counts “influenza alone” deaths.
However, the CDC appears to count almost 100% of death certificates with the word “COVID” on them as “COVID Fatalities.”
That is absolutely NOT the way the CDC counts influenza deaths.
This issue has at least one more layer of complexity - there are at least two agencies inside the CDC that compile fatality data, and they both use different methods to count deaths from respiratory diseases.
For instance, one of the agencies has reported a huge surge in pneumonia deaths (+75,000), but the CDC official COVID death total counts almost all those pneumonia deaths as COVID deaths.
In my opinion, the "Excess Death" number for 2020 is being falsely manipulated and double counted.
However - I do not want to minimize the threat of COVID.
COVID is deadly for the elderly and the infirm.
But, COVID is no more deadly for that group than a severe common cold or influenza.
Comorbidities
Table 3 shows the types of health conditions and contributing causes mentioned in conjunction with deaths involving coronavirus disease 2019 (COVID-19).
For 6% of the deaths, COVID-19 was the only cause mentioned. For deaths with conditions or causes in addition to COVID-19, on average, there were 2.6 additional conditions or causes per death. The number of deaths with each condition or cause is shown for all deaths and by age groups. For data on comorbidities
Re: “I want to hear someone explain how the CDC ever managed to make enough data collection mistakes to get the death count only 6% correct. That should be impossible.”
Quite simple, actually...
(1) First, they “advised” doctors to count all “presumed” COVID cases as “confirmed” COVID cases.
“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.”
(2) Second, they “advised” doctors to count all COVID + pneumonia deaths and all COVID + Acute Respiratory Distress Syndrome deaths as exclusively COVID deaths.
https://www.cdc.gov/nchs/data/nvss/vsrg/vsrg03-508.pdf
“If COVID–19 played a role in the death, this condition should be specified on the death certificate. In many cases, it is likely that it will be the UCOD, as it can lead to various life threatening conditions, such as pneumonia and acute respiratory distress syndrome (ARDS).”
UCOD = official cause of death.
That is absolutely NOT how influenza and common cold deaths are counted.
The original lie was stated here by Teddy Tedros of WHO the criminal terrorist.So CDC took the word of a terrorist to coerce our country into closing down the country.Some source.
Primary means of COVID-19 death are viral (COVID) pneumonia, ARDS, low blood oxygen levels, blood clots, cardiac arrest, etc...apparently about 6% of doctors/coroners just put “COVID-19” on the death certificate. When you are critical in an ICU/on a ventilator lots of things potentially start going bad with your body, leading to the other “94%” of things mentioned on the death certificates in addition to COVID-19.
https://covid.cdc.gov/covid-data-tracker/#underlying-med-conditions
Cause of Death
As of June 3, 2020, weekly counts of deaths due to select causes of death are presented. These causes were selected based on analysis of comorbid conditions reported on death certificates where COVID-19 was listed as a cause of death (see https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm#Comorbidities). Some causes with insufficient numbers of deaths by week and jurisdiction were combined with other categories, and one cause was added to the Alzheimer disease and dementia category (ICD–10 code G31). These estimates are based on the underlying cause of death, and include: Respiratory diseases, Circulatory diseases, Malignant neoplasms, and Alzheimer disease and dementia. ICD–10 codes were used to classify deaths according to the following causes:
Respiratory diseases
Influenza and pneumonia (J09–J18)
Chronic lower respiratory diseases (J40–J47)
Other diseases of the respiratory system (J00–J06, J20–J39, J60–J70, J80–J86, J90–J96, J97–J99, R09.2, U04)
Circulatory diseases
Hypertensive diseases (I10–I15)
Ischemic heart disease (I20–I25)
Heart failure (I50)
Cerebrovascular diseases (I60–I69)
Other disease of the circulatory system (I00–I09, I26–I49, I51, I52, I70–I99)
Malignant neoplasms (C00–C97)
Alzheimer disease and dementia (G30, G31, F01, F03)
Other select causes of death
Diabetes (E10–E14)
Renal failure (N17–N19)
Sepsis (A40–A41)
Estimated numbers of deaths due to these other causes of death could represent misclassified COVID-19 deaths, or potentially could be indirectly related to COVID-19 (e.g., deaths from other causes occurring in the context of health care shortages or overburdened health care systems). Deaths with an underlying cause of death of COVID-19 are not included in these estimates of deaths due to other causes, but deaths where COVID-19 appeared on the death certificate as a multiple cause of death may be included in the cause-specific estimates. For example, in some cases, COVID-19 may have contributed to the death, but the underlying cause of death was another cause, such as terminal cancer. For the majority of deaths where COVID-19 is reported on the death certificate (approximately 95%), COVID-19 is selected as the underlying cause of death.
Deaths due to all other natural causes were excluded (ICD-10 codes: A00–A39, A42–B99, D00–E07, E15–E68, E70–E90, F00, F02, F04–G26, G31–H95, K00–K93, L00–M99, N00–N16, N20–N98, O00–O99, P00–P96, Q00–Q99). External causes of death (i.e. injuries) were excluded, as the reporting lag is substantially longer for external causes of death (4). Additionally, causes of death where the underlying cause was unknown or ill-specified (i.e. R-codes) were excluded (except for R09.2, which is included under the Respiratory diseases category). Counts of deaths with unknown cause are typically substantially higher in provisional data, as many records are initially submitted without a specific cause of death and are then updated when more information becomes available (4). For deaths due to external causes of death or unknown cause, provisional data are highly unreliable and inaccurate in recent weeks, and it can take six to nine months to ensure sufficiently accurate estimates. Counts by cause provided here will not sum to the total number of deaths, given that some causes are excluded.
Estimates by cause of death and age at death are weighted, using the methods described above. The total count of deaths above average levels are shown for select causes of death. These totals are calculated by summing the number of deaths above average levels (based on weekly counts from 2015–2019) since 2/1/2020. Negative values were set to zero and therefore excluded from these sums. Because not all causes of death are shown and due to differences in how the average expected numbers of deaths are estimated, the total numbers of deaths across all the selected causes will not match the numbers of excess deaths from all causes excluding COVID-19.
Estimates by race and Hispanic origin are weighted using the methods described above. Weekly counts are shown for deaths due to all causes, all causes excluding COVID-19, and COVID-19. Because estimates are weighted to account for incomplete reporting in recent weeks, counts of death due to COVID-19 will not match other data sources. For data years 2018 – 2020, race and Hispanic-origin categories are based on the 1997 Office of Management and Budget (OMB) standards, allowing for the presentation of data by single race and Hispanic origin. These race and Hispanic-origin groups—non-Hispanic single-race white, non-Hispanic single-race black or African American, non-Hispanic single-race American Indian or Alaska Native (AIAN), and non-Hispanic single-race Asian—differ from the bridged-race categories used in previous data years when not all jurisdictions reported race and Hispanic origin using the 1997 OMB standards. Numbers may therefore differ from previous reports and other sources of data on mortality by race and Hispanic origin.
Comorbidity, risk factors and underlying conditions discussion and data mostly. (Causing “excess deaths” in the medical conditions mentioned).
I think this is very true and needs to be printed all over the world.
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