[Video] The CDC’s Grossly Contradictory Flu Death Numbers

Graph Showing Contradictory CDC Pneumonia and Influenza Death Numbers
The CDC’s Grossly Contradictory Flu Death Numbers

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The United States Centers for Disease Control (CDC) has at least three different, grossly contradictory historical pneumonia and influenza death numbers. Pneumonia and influenza are often conflated in the CDC’s documentation and influenza death model. These death numbers are frequently used as the baseline for comparison of COVID-19 death numbers and assessing the severity of the pandemic relative to previous years and influenza pandemics.

Leading Causes of Death Pneumonia and Influenza (P&I) Deaths (About 55,000 per year)

FluView Pneumonia and Influenza (P&I) Deaths (About 188,000 pre-COVID, Over THREE TIMES Leading Causes of Death, About 5-15,000 Influenza Deaths Per Year)

CDC Model Influenza Only Deaths (About 55,000 per year, at least THREE TIMES FluView Influenza Deaths)

This video discusses these different contradictory numbers and their implications for the COVID-19 pandemic.

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Improbably Low COVID-19 Death Numbers in Santa Clara County California (December 2020)

Despite frightening headlines and increased lockdown orders, total COVID-19 deaths in Santa Clara County, California remain remarkably low with total officially reported deaths of only 503 in a county with 1.9 million and close contact with China, the presumed source of the pandemic. This is a number comparable to the number of expected deaths in the county from ordinary pneumonia and influenza based on previous years.

The county continues to authorize many luxury apartment and other construction projects with teams of workers in close proximity five full days per week, after a brief 3-4 week shutdown in May. The lockdown continues to herd large numbers of citizens into a few gigantic stores such as Safeway, Walmart, and Target, enabling what would seem like an efficient route for rapid spread of the disease.

This is the Santa Clara County COVID-19 Cases Dashboard (Deaths) on Friday, December 4, 2020.

https://www.sccgov.org/sites/covid19/Pages/dashboard-cases.aspx

The scary red line is the CUMULATIVE NUMBER OF COVID-19 DEATHS which is guaranteed to never decrease even if the disease disappears. It is NOT the number of daily deaths or a smoothed average of the number of daily deaths, an easy mistake when viewing graphs of this type. This means a total of 503 official COVID-19 deaths since the beginning of 2020.

Santa Clara County has a population of about 1.9 million people in 2019 according to the US Census with 10,889 total deaths in 2015, the last year for which I could find an exact death count, according to the Office of the Medical Examiner-Coroner for the County of Santa Clara. The most recent estimated death rate for the United States in 2018 was 867.8 deaths per 100,000 people according the US Centers for Disease Control. One point nine million (1.9 million) is nineteen (19) times 100,000. This means an estimated number of deaths in Santa Clara County of nineteen (19) times 867.8 or 16,488 expected deaths in 2020 from all causes.

What percentage of these 16,488 expected deaths would be attributed to pneumonia and influenza in pre-COVID-19 years (2019 and earlier)? The CDC FluView web site shows that six to ten percent of deaths, varying seasonally, are due to pneumonia and influenza (P&I) according to the vertical axis label on the FluView Pneumonia & Influenza Mortality plot, meaning at least six percent of the deaths or 989 deaths would be due to pneumonia and influenza.

US Centers for Disease Control (CDC) FluView Pneumonia & Influenza Mortality Plot (Dec. 4, 2020)

NOTE: https://www.cdc.gov/flu/weekly/fluviewinteractive.htm and click on P&I Mortality Tab

In contrast, the CDC’s leading causes of death report Table C, Deaths and percentage of total deaths for the 10 leading causes of death: United States, 2016 and 2017 on Page Nine (see screenshot below) attributes only two percent of annual deaths (about 55,000 in 2017) to “influenza and pneumonia.” If this smaller number is used, we would expect about 329 deaths from pneumonia and influenza in 2020.

The difference between the CDC FluView and leading causes of death report numbers is probably due to the requirement that pneumonia or influenza be listed as “the underlying cause of death” in the leading causes of death report and only “a cause of death” in the FluView data. This is not clear. Many deaths have multiple “causes of death.” The assignment of an “underlying cause of death” may be quite arbitrary in some cases. Despite this, none of these official numbers either in the leading causes of death report or the FluView web site are reported with error bars or error estimates as required by common scientific and engineering practice when numbers are uncertain.

Screenshots of the official CDC, Santa Clara County, and US Census web sites used for these numbers from Friday, December 4, 2020:

Santa Clara County Total Reported Deaths from 2000 to 2015
Santa Clara County Population from US Census Bureau
US Centers for Disease Control (CDC) FluView Pneumonia and Influenza Mortality Plots (Dec. 4, 2020)
United States National Death Rate According to US CDC (Dec. 4, 2020)
US CDC Leading Causes of Death Report Attributes Only About Two Percent of All Deaths to Pneumonia and Influenza (Line Item 8: Influenza and Pneumonia) — not the Six to Ten Percent in the FluView Graphs

Remarkably the total number of deaths (503) attributed to COVID-19 in Santa Clara County is clearly within the range of deaths expected from pneumonia and influenza (329 to 989) based on historical data prior to 2020.

Santa Clara County Has Close Ties to China

Santa Clara County, home to Apple, Google, and many other companies with extensive manufacturing operations in China, the presumed source of the Sars-COV-2 virus, and large numbers of direct and contract employees again from China (mainland China), has extensive ties to China, meaning mainland China, not just Taiwan, Singapore, Hong Kong, and other ethnically Chinese nations and communities outside of China proper. Indeed, it probably has the closest ties, travel and trade to and from China of any region in the United States — likely much more than the New York and New Jersey region where the most deaths and highest death rates have been reported. One would expect Santa Clara County, California to have the earliest and largest cumulative number of deaths from COVID-19 in the United States.

According to the New York Times (April 4, 2020), at least 430,000 people returned to the United States from China after the Sars-COV-2 virus appeared, many after President Trump’s travel ban. A large fraction of these probably returned to Santa Clara County given the close ties between China and Santa Clara County. According to the San Francisco Chronicle, the first US COVID case was a 57-year old woman who passed away at home on February 6, 2020, well before the Kirkland Life Care Center cases in late February.

Many Seeming Routes for Rapid Spread of the Disease

Santa Clara County continues to authorize many luxury apartment and other construction projects with teams of workers in close proximity five full days per week, after a brief 3-4 week shutdown in May — several weeks after the original lockdown order. On a personal note, a four-story luxury apartment building construction project with at least a dozen workers every weekday from about 7:30 am to 4:30 pm has continued across the street from my apartment building since the original lockdown order except for the brief shutdown in May.

Santa Clara County Allows Construction Projects Despite COVID-19
Over a Dozen Construction Workers Arriving for Work on Luxury Apartment Project in Santa Clara County, CA (August 6, 2020)
Construction Workers in Close Proximity (Santa Clara County, Dec. 7, 2020)

The lockdown continues to herd large numbers of citizens in Santa Clara County into a few gigantic stores such as Safeway, Walmart, and Target, enabling what would seem like an efficient route for rapid spread of the disease.

Safeway with Over Thirty Cars in Parking Lot (about 9:30 AM, December 7, 2020, Santa Clara County)

UPDATE (Dec. 9, 2020): These giant “Big Box” retail stores have heavily used shared spaces and surfaces where one would expect the virus will rapidly spread. These include the entry/exit door areas, checkout counters, and refrigerators with popular products such as milk purchased by a large fraction of the customers and with door handles that all purchasers must use. These large stores often have hundreds of patrons in the store at the same time — all day, seven days per week.

Milk and other dairy products in a refrigerator with door handle that customers must use

In Santa Clara County, the lockdowns have closed or heavily curtailed restaurants, popular with the large population of single people and leading to a large increase in demand for microwave dinners often found in store refrigerators with door handles that must be used by the customers.

Microwave dinners in store refrigerator with door handle that customers must use

Several other specific scenarios exist for rapid efficient spread of the virus through these giant retail stores.

UPDATE (Dec. 6, 2020): Santa Clara County also has a bus service, the VTA or Valley Transportation Authority, in widespread use with patrons, often “essential workers,” sharing an enclosed space and seats.

VTA Bus in Operation on December 7, 2020, Santa Clara County, California

UPDATE (Dec. 7, 2020) The lockdown shelter in place and stay at home orders confine “non-essential workers” to numerous generally large apartment complexes, often with hundreds of tenants, possibly thousands in some cases. In Mountain View, California — site of Google’s headquarters — about fifty-eight percent of residents (Town Charts, see Figure 5) are renters, most in large complexes. These complexes feature shared trash chutes/rooms, laundry rooms, hallways and lobbies with exterior doors and fire doors that must be opened by hand in most cases, providing many shared surfaces and spaces for spread of the virus.

Typical Trash Chute Room with Fire Door in Santa Clara County — Note Door Handle (December 7, 2020)
Typical Trash Room Interior with Trash Chute (Note Handle) in Santa Clara County (December 7, 2020)
Typical Laundry Room Door with Handle in Santa Clara County (December 7, 2020)

Note that fire regulations require closely spaced closed fire doors in the interior hallways — with handles or knobs that all residents must use to open the fire doors.

The large apartment complexes common in Santa Clara County provide numerous shared spaces where aerosol virus particles can collect and linger in the air as well as shared surfaces such as door handles that all residents must touch.

Gloves are not required. Gloves would have to be handled carefully and sterilized before and after each or nearly each use to avoid spreading the virus, something probably impractical and certainly currently NOT done by most residents.

In general, the apartment complex support staff cannot clean each door handle after each use. The shared support staff themselves are a high risk of both becoming infected and spreading the infection to other residents. Almost none have training or experience in bio-safety measures.

These shared spaces and surfaces are enclosed, protected from exterior wind that can disperse the virus particles and from the ultraviolet component of sunlight which can destroy the virus particles outside. By design, the required fire doors limit air flow in the buildings to prevent a disastrous fire. Citizens are being mandated/encouraged to spend most of their time inside in these complexes.

Conclusion

As of December 4, 2020, the total and daily death numbers for COVID-19 continue to deviate sharply from both hyperbolic headlines and reasonable expectations — as was the case in March and April of 2020. Indeed, the total number of official reported COVID-19 deaths to date (503 on Dec. 4, 2020) remains small enough to be consistent with no new or unusual disease causing more deaths than normal in Santa Clara County in 2020.

(C) 2020 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

[Video] Why are the CDC’s Grossly Contradictory Death Numbers Important to the US Election?

Why are the CDC’s Grossly Contradictory Death Numbers Important to the US Election?

A short video explaining WHY the contradictory pneumonia and influenza death numbers on the CDC web site and official documents are critically important to the US Presidential Election. The FluView web site claims six to ten percent of all deaths are pneumonia and influenza in a prominently displayed graphic. However, the Leading Causes of Death report claims about two percent of deaths are caused by pneumonia and influenza, less than one third of the percentages reported on the FluView web site.

Looking at the numbers behind the percentages. The CDC uses two grossly contradictory numbers of annual deaths from pneumonia and influenza: about 55,000 in the annual leading causes of the death report and about 188,000 in National Center for Health Statistics (NCHS) data used on the FluView web site to report the percentage of deaths each week due to pneumonia and influenza. These differ by a factor of OVER THREE. The larger FluView number is comparable to the current cumulative total COVID-19 deaths in the United States frequently cited by the media and compared to a smaller number of about 40,000 “flu deaths” which is similar to the smaller number of “pneumonia and influenza” deaths in the leading causes of death report.

The most recent raw data appears to still be accessible on the FluView Pneumonia and Influenza Mortality web page:

https://www.cdc.gov/flu/weekly/index.htm (see Pneumonia and Influenza Mortality Section)

FluView NCHS Raw Data File: https://www.cdc.gov/flu/weekly/weeklyarchives2019-2020/data/NCHSData34.csv

Leading Causes of Death Full Report: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_06-508.pdf

See Table C: Deaths and percentage of total deaths for the 10 leading causes of death: United States, 2016 and 2017 (Page 9 of PDF)

Line item 8 “Influenza and pneumonia” lists 55,672 deaths in 2017

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[Video/Article] The CDC’s Grossly Contradictory Death Numbers

The CDC’s Grossly Contradictory Death Numbers (Click on Image to View the Video)

The CDC uses two grossly contradictory numbers of annual deaths from pneumonia and influenza: about 55,000 in the annual leading causes of the death report and about 188,000 in National Center for Health Statistics (NCHS) data used on the FluView web site to report the percentage of deaths each week due to pneumonia and influenza. These differ by a factor of OVER THREE. The larger FluView number is comparable to the current cumulative total COVID-19 deaths in the United States (Aug 30, 2020).

Since it is generally agreed that lockdowns and quarantines are not justified for a disease similar to typical annual pneumonia and influenza deaths, the reasons for this gross contradiction in the two annual death numbers should be resolved. Is it correct to compare the COVID-19 death numbers to the FluView number, the leading causes of death number, or some other number and, if so, exactly why and how?

Video Transcript: The CDC uses two grossly contradictory numbers of annual deaths from pneumonia and influenza: about 55,000 in the annual leading causes of the death report and about 188,000 in National Center for Health Statistics (NCHS) data used on the FluView web site to report the percentage of deaths each week due to pneumonia and influenza. These differ by a factor of OVER THREE.

This is the leading causes of death report for 2017 on the CDC web site. Table C: Deaths and percentage of total deaths for the 10 leading causes of death: United States, 2016 and 2017 on Page Nine. Note line item number 8 “pneumonia and influenza” with 55,672 deaths in 2017. Also note 2,813,503 deaths from all causes in 2017.

This is the CDC FluView web site. The red line purports to be the percentage of weekly deaths caused by pneumonia and influenza. It varies seasonally and averages about six percent over a year. Six percent of the 2,813,503 deaths in 2017 is 168,810 deaths, over three times the 55,672 deaths in the leading causes of death report.

The actual numbers are available here in data files from the National Center for Health Statistics (NCHS). These give about 188,000 deaths from pneumonia and influenza in 2017. The death numbers for other years are quite similar.

To be clear, the leading causes of deaths report gives 55,672 deaths from pneumonia and influenza in 2017.

The average six percent of deaths from the FluView Graph means about 170,000 deaths must have been due to pneumonia and influenza — NOT 55,000. In fact, the raw data from the NCHS on the sites gives just about 188,000 deaths due to pneumonia and influenza in 2017, over THREE TIMES the number of deaths in the leading causes of death report and the widely quoted estimated deaths from flu from the CDC.

This means the number of pneumonia and influenza deaths must be highly arbitrary, dependent on unstated definitions, or there are gross counting errors. The larger FluView number of 188,000 is comparable to the current total of COVID-19 deaths in the US which is often compared to a smaller number of flu deaths each year similar to the leading causes of deaths number of 55,000.

Since it is generally agreed that lockdowns and quarantines are not justified for a disease similar to typical annual pneumonia and influenza deaths, the reasons for this gross contradiction in the two annual death numbers should be resolved. Is it correct to compare the COVID-19 death numbers to the FluView number, the leading causes of death number, or some other number and, if so, exactly why and how?

The most recent raw data appears to still be accessible on the FluView Pneumonia and Influenza Mortality web page:

https://www.cdc.gov/flu/weekly/index.htm (see Pneumonia and Influenza Mortality Section)

FluView NCHS Raw Data File: https://www.cdc.gov/flu/weekly/weeklyarchives2019-2020/data/NCHSData34.csv

Leading Causes of Death Full Report: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_06-508.pdf

See Table C: Deaths and percentage of total deaths for the 10 leading causes of death: United States, 2016 and 2017 (Page 9 of PDF)

Line item 8 “Influenza and pneumonia” lists 55,672 deaths in 2017

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John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

COVID-19: Doshi on the CDC’s Unexplained “Flu” Death Numbers

A key issue in the current coronavirus COVID-19 pandemic is how it compares to “seasonal flu,” “flu,” “influenza” or “pneumonia and influenza,” terms that are often used interchangeably but have different definitions or implied definitions in different contexts.

For example, the widely quoted infection fatality rate for the “flu” of 0.1 percent (one in a thousand) is based on models from the CDC that assume deaths from the influenza viruses are grossly underreported. Regardless of the models, in common English usage a large fraction of the public interprets “flu” as synonymous with “common cold.” The effective infection fatality rate of the common usage “flu”/”common cold” (averaged over all diseases and people) is far below 0.1 percent.

An overlapping key issue is whether false positives from the coronavirus RT-PCR test or diagnoses without the test (e.g. lung x-rays or examination of a patient by a doctor) has attributed a substantial number of conventional pneumonia deaths and heart attacks to the COVID-19 coronavirus.

Remarkably, the United States Centers for Disease Control (CDC) appears to use two different counts (or model outputs?) of annual deaths from “influenza and pneumonia” or “pneumonia and influenza” that differ by over a factor of three.

The “Deaths: Final Data for 2017” report (Page Six, Table B) lists “influenza and pneumonia” as the eighth leading cause of death with 55,672 deaths in 2017.

Influenza and pneumonia (8th Leading cause of death in Deaths: Final Data for 2017)

In contrast, the Weekly Pneumonia and Influenza (P&I) Mortality Surveillance lists over 180,000 deaths from “pneumonia and influenza” (mostly pneumonia) in 2017 in the data files on the site apparently used to generate the FluView plot displayed. The weekly surveillance number provides a much larger pool of potential false positives than the more widely quoted number of about 50,000 “flu” deaths per year.

Influenza: a study in contemporary medical politics by Peter Doshi

Peter Doshi has published many articles on the CDC’s “flu” death numbers, the CDC’s long history of seemingly contradictory claims about influenza and pneumonia, and related topics. Some of these are available online. His Ph.D. dissertation Influenza: a study in contemporary medical politics from MIT goes into much more detail and is available at: https://dspace.mit.edu/handle/1721.1/69811 (Click Download on the left side)

Download button (April 27, 2020)

If MIT does not work (MIT download is faster), an archival copy is available at: http://www.mathematical-software.com/778073688-MIT.pdf

This is a well written but long (312 pages) dissertation. All of it is relevant to the current pandemic crisis, but it is a lot to digest. The most important and most relevant to the current pandemic section is Chapter 4: False Assumptions: a Shaky Foundation for Consensus (Pages 151-212, including tables and figures).

Key topics discussed in detail in this chapter include:

The CDC uses models to assign many deaths to influenza (the influenza viruses) even though doctors rarely diagnose influenza, rarely list influenza as a cause of death on death certificates, and most laboratory tests of samples from patients with respiratory illnesses (often called Influenza Like Illnesses or ILI) do not confirm the presence of the influenza viruses and often identify other viruses such as rhinovirus, adenovirus, various coronaviruses, etc. as present instead. These models may even assign deaths listed on death certificates as heart attacks to the total.

The models differ from researcher and publication to researcher and publication, have changed dramatically over the years, notably a jump from 20,000 estimated “flu” deaths in 2002 to a widely quoted estimate of 36,000 in 2003.

The evidence that flu vaccines work is weak and contradictory.

Conclusion

There is a remarkable lack of key measurements in the current coronavirus COVID-19 pandemic. These include the actual mortality rate (aka infection fatality rate) broken down by age, sex, race, pre-existing medical conditions, ambient temperature, sunlight levels, pollution levels, and other risk factors. The false positive and false negative rates of the tests for the disease, both the tests for an active infection such as the RT-PCR tests and tests for past infection such as the antibody tests. The methods and rates of transmission for the disease. Aerosol transmission probably occurs at least at a low level and is virtually unstoppable.

The confusing language and numbers on pneumonia and influenza on the CDC web site and in various official reports and documents seem to be primarily for marketing the flu vaccines rather than enabling informed decisions by patients and doctors or supporting external scientific research into the influenza viruses or other diseases.

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(C) 2020 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).