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May 1, 2020

Reliable Methodology: Total CDC Mortality Data Questions Cov-19 Cause of Death Diagnoses

Here is my reliable 3-step methodology for conclusively determining whether Cov-19 is really causing mass deaths or whether this 2019-20 ‘flu season coinciding with Cov-19’ looks exactly like previous years using total mortality data from the CDC.

Reliable Methodology for Questioning Cov-19 Death Diagnoses

Step 1: Use CDC data here and here to create a table comparing 2019-20 total deaths (from any cause) to previous years during the exact same weeks of the year (i.e., the ‘flu season’). See Attachment A.

Step 2: Compare all data like this:

CDC Data on Total Deaths from Any Cause During The Exact Same ‘Flu Season’ Weeks of the Year

US Average Deaths/Week ‘Flu Season’ 56,714 (2019-20) “Cov-19 pandemic” 56,175 (2018-19) Normal year 57,271 (2017-18) “Flu epidemic” 55,859 (2016-17) Normal year

Step 3: Conduct logical data analysis.

A. If Cov-19 was really causing mass deaths, then we’d first need to see a

spike in total 2019-20 death numbers that is a significantly higher spike than previous years. But if there is no such spike in total death numbers in 2019-20 (as the preliminary data above shows), then 2019-20 looks the same as previous years, so the data suggests Cov-19 is not causing mass deaths but rather is just another ‘flu season’.

B. After the above analysis is complete (to put Cov-19 into perspective), then one can look at cause of death diagnoses to question whether there are lower flu diagnosis cause of death numbers in 2019-20, lower cancer diagnosis cause of death numbers in 2019-20, etc., because if so then such data further confirms healthcare workers misdiagnosing causes of death (which incidentally has been a notorious problem with flu death reporting).

Note this 3-step methodology can only be implemented using the exact same weeks of the year for comparison between years, because mortality is seasonally affected; fortunately the CDC publishes weekly results and updates the results regularly as new data comes in; unfortunately

Current CDC data shows the total number of Americans dying (from any cause) during the Cov-19 pandemic season is less than the number of Americans who died (from any cause) during the same weeks of 2017-18 (‘flu season’).

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the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes can range from 1 week to 8 weeks or more, depending on the jurisdiction, age, and cause of death. I will need to provide an update to this document as new CDC data arrives in the coming weeks. For example, given the aforementioned data lag time, we don't know how that fateful winter of 2017 will compare to this fateful April/May of 2020, as the numbers are not complete yet. Similar to the ‘flu season’ in 2017-2018, the weeks ending on 4/4 and 4/11 have about 64,000 deaths, which is more than usual for this time year. In particular, we need to know whether the elevated number of April deaths will continue through May. Whatever the case may be, fortunately, this 3-step methodology using CDC total mortality data makes it nearly impossible for politically motivated persons to deceive people. In other words, this 3-step methodology will help prove whether Cov-19 ‘cause of death’ numbers are being artificially inflated by those relying on disputable ‘diagnoses’ (i.e., death by Cov-19) rather than reliable mortality data (death by any cause). Indeed, many physicians, news commentators, and concerned Citizens have already reported on this phenomenon of ‘suspicious cause of death’ diagnoses, where Cov-19 is listed as the cause of death even though the patient very likely died of other causes (such as pneumonia or cancer complications). Example 1; Example 2. Fortunately, the total number of deaths published by the CDC does not rely on questionable/uncertain diagnoses from healthcare workers, but rather involves simple bean counting of death certificates. In other words, whether a person died and received a death certificate is basically indisputable because it must surely be 99%+ reliable that they did in fact die of something and received a death certificate. By contrast, whether any given person’s cause of death was pneumonia, or Cov-19, or cancer complications, or some other cause is routinely disputable and fraught with human error, scientific bias, absence of testing, fallibility of testing, and even politics to some extents. So the best way to explore whether people are really dying from Cov-19 is to go back to the 99%+ reliable number. That is why, to keep the media honest, we need to compare the total number of death certificates in previous years to the total number of death certificates this year. Greg Glaser

Attachment A

NCHS Mortality Surveillance DataData as of April 23, 2020For the Week Ending April 11, 2020 (Week 15)https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.htmlhttps://gis.cdc.gov/grasp/fluview/mortality.html

Year WeekUS Total Deaths

2019-2020US Total Deaths

2018-19US Total Deaths

2017-18US Total Deaths

2016-17

2019 40 52,467 52,357 52,107 51,4002019 41 52,879 51,849 51,577 52,1242019 42 54,149 52,979 52,222 51,4362019 43 53,933 53,763 52,543 51,8642019 44 54,006 53,638 53,667 51,7412019 45 55,516 53,561 53,240 52,5242019 46 55,736 54,698 53,767 53,4422019 47 56,053 54,847 54,120 53,1282019 48 55,282 55,060 54,760 54,4962019 49 57,066 55,967 55,595 55,1332019 50 57,374 56,387 57,370 55,9772019 51 57,122 56,528 59,505 56,6962019 52 58,136 56,026 61,090 57,6132020 1 59,146 58,291 66,134 59,7632020 2 59,194 58,353 67,495 60,9802020 3 57,668 58,194 64,647 59,2932020 4 57,065 57,837 62,780 58,0472020 5* 57,258 58,129 60,974 58,4322020 6 57,604 58,493 61,110 59,0382020 7 56,856 57,917 59,779 58,4792020 8 56,780 57,858 57,793 58,2882020 9 56,816 57,922 56,692 57,2562020 10 56,157 58,508 57,093 57,4772020 11 53,902 57,898 56,326 56,6562020 12 53,847 57,089 55,766 57,0452020 13 57,186 56,672 54,918 55,7032020 14 63,700 56,596 55,294 55,1602020 15 65,082 55,481 55,228 54,861

Total Deaths: 1,587,980 1,572,898 1,603,592 1,564,052Weekly avg: 56,714 56,175 57,271 55,859

* Data after week 4 of 2020 is from April 29, 2020.

Attachment B

Attachment C

AREA,SUB AREA,AGE GROUP,SEASON,WEEK,THRESHOLD,BASELINE,PERCENT P&I,NUM INFLUENZA DEATHS,NUM PNEUMONIA DEATHS,TOTAL DEATHS,PERCENT COMPLETENational,,All,2019-20,40,5.7,5.3,5.2,16,"2,707","52,467",> 100%National,,All,2019-20,41,5.7,5.4,5.3,16,"2,770","52,879",> 100%National,,All,2019-20,42,5.8,5.5,5.5,18,"2,980","54,149",> 100%National,,All,2019-20,43,5.9,5.6,5.6,30,"2,988","53,933",> 100%National,,All,2019-20,44,6,5.7,5.4,31,"2,908","54,006",> 100%National,,All,2019-20,45,6.2,5.8,5.6,31,"3,065","55,516",> 100%National,,All,2019-20,46,6.3,5.9,5.6,39,"3,098","55,736",> 100%National,,All,2019-20,47,6.4,6,5.4,50,"3,001","56,053",> 100%National,,All,2019-20,48,6.5,6.2,5.5,66,"2,982","55,282",> 100%National,,All,2019-20,49,6.6,6.3,6,99,"3,310","57,066",> 100%National,,All,2019-20,50,6.7,6.4,6.2,111,"3,460","57,374",> 100%National,,All,2019-20,51,6.8,6.5,6.1,126,"3,353","57,122",> 100%National,,All,2019-20,52,6.9,6.6,6.4,199,"3,498","58,136",> 100%National,,All,2019-20,1,7,6.7,7.5,420,"4,021","59,146",> 100%National,,All,2019-20,2,7.1,6.7,7.6,457,"4,014","59,194",> 100%National,,All,2019-20,3,7.2,6.8,7.6,445,"3,920","57,668",> 100%National,,All,2019-20,4,7.2,6.9,7.4,473,"3,765","57,065",> 100%National,,All,2019-20,5,7.3,6.9,7.2,454,"3,641","56,529",> 100%National,,All,2019-20,6,7.3,7,7.2,488,"3,640","57,136",> 100%National,,All,2019-20,7,7.3,7,7.4,510,"3,652","56,339",> 100%National,,All,2019-20,8,7.3,7,7.2,527,"3,515","56,039",> 100%National,,All,2019-20,9,7.3,7,7.4,596,"3,541","55,638",> 100%National,,All,2019-20,10,7.3,7,7.7,572,"3,660","55,173",> 100%National,,All,2019-20,11,7.3,6.9,7.9,565,"3,623","53,239",> 100%National,,All,2019-20,12,7.2,6.9,8.6,485,"4,071","53,130",> 100%National,,All,2019-20,13,7.1,6.8,10.4,386,"5,433","55,778",> 100%National,,All,2019-20,14,7.1,6.7,14,408,"8,045","60,195",> 100%National,,All,2019-20,15,7,6.7,14.5,380,"7,723","55,773",> 100%National,,All,2019-20,16,6.9,6.6,11.4,115,"3,121","28,374",59.6%

AREA,SUB AREA,AGE GROUP,SEASON,WEEK,THRESHOLD,BASELINE,PERCENT P&I,NUM INFLUENZA DEATHS,NUM PNEUMONIA DEATHS,TOTAL DEATHS,PERCENT COMPLETENational,,All,2018-19,40,5.9,5.5,5.7,10,"2,969","52,357",> 100%National,,All,2018-19,41,5.9,5.6,5.6,12,"2,866","51,849",> 100%National,,All,2018-19,42,6,5.7,5.7,18,"2,987","52,979",> 100%National,,All,2018-19,43,6.1,5.8,5.7,24,"3,065","53,763",> 100%National,,All,2018-19,44,6.2,5.9,5.6,25,"3,003","53,638",> 100%National,,All,2018-19,45,6.3,6,5.7,30,"3,020","53,561",> 100%National,,All,2018-19,46,6.5,6.1,5.8,26,"3,142","54,698",> 100%National,,All,2018-19,47,6.6,6.2,5.9,31,"3,178","54,847",> 100%National,,All,2018-19,48,6.7,6.3,6,38,"3,287","55,060",> 100%National,,All,2018-19,49,6.8,6.4,6.2,56,"3,399","55,967",> 100%National,,All,2018-19,50,6.9,6.6,6.4,51,"3,552","56,387",> 100%National,,All,2018-19,51,7,6.7,6.3,88,"3,490","56,528",> 100%National,,All,2018-19,52,7.1,6.7,6.7,141,"3,635","56,026",> 100%National,,All,2018-19,1,7.2,6.8,7.1,211,"3,917","58,291",> 100%National,,All,2018-19,2,7.3,6.9,7.4,259,"4,056","58,353",> 100%National,,All,2018-19,3,7.3,7,7.5,246,"4,094","58,194",> 100%National,,All,2018-19,4,7.4,7,7.2,275,"3,894","57,837",> 100%National,,All,2018-19,5,7.4,7.1,7.2,326,"3,888","58,129",> 100%National,,All,2018-19,6,7.4,7.1,7.3,365,"3,890","58,493",> 100%National,,All,2018-19,7,7.4,7.1,7.5,482,"3,890","57,917",> 100%National,,All,2018-19,8,7.4,7.1,7.7,474,"3,974","57,858",> 100%National,,All,2018-19,9,7.4,7.1,7.4,516,"3,753","57,922",> 100%National,,All,2018-19,10,7.4,7,7.3,544,"3,748","58,508",> 100%National,,All,2018-19,11,7.3,7,7.8,511,"3,979","57,898",> 100%National,,All,2018-19,12,7.3,6.9,7.5,479,"3,795","57,089",> 100%National,,All,2018-19,13,7.2,6.9,7.4,459,"3,713","56,672",> 100%National,,All,2018-19,14,7.1,6.8,7,340,"3,634","56,596",> 100%National,,All,2018-19,15,7.1,6.7,6.8,303,"3,447","55,481",> 100%National,,All,2018-19,16,7,6.6,6.6,201,"3,412","54,461",> 100%National,,All,2018-19,17,6.8,6.5,6.4,156,"3,271","53,650",> 100%National,,All,2018-19,18,6.7,6.4,6.2,97,"3,223","53,978",> 100%National,,All,2018-19,19,6.6,6.3,6.2,68,"3,228","53,462",> 100%National,,All,2018-19,20,6.5,6.2,6,50,"3,153","53,555",> 100%National,,All,2018-19,21,6.4,6,5.9,30,"3,149","53,674",> 100%National,,All,2018-19,22,6.3,5.9,6,29,"3,119","52,715",> 100%National,,All,2018-19,23,6.1,5.8,5.8,21,"3,046","53,131",> 100%National,,All,2018-19,24,6,5.7,5.6,16,"2,932","52,631",> 100%National,,All,2018-19,25,5.9,5.6,5.7,13,"2,950","52,271",> 100%National,,All,2018-19,26,5.8,5.5,5.6,15,"2,897","52,188",> 100%National,,All,2018-19,27,5.7,5.4,5.5,13,"2,858","52,327",> 100%National,,All,2018-19,28,5.7,5.3,5.4,11,"2,770","51,917",> 100%National,,All,2018-19,29,5.6,5.2,5.2,6,"2,678","51,621",> 100%National,,All,2018-19,30,5.5,5.2,5.4,8,"2,760","51,622",> 100%National,,All,2018-19,31,5.5,5.1,5.3,6,"2,732","51,366",> 100%National,,All,2018-19,32,5.4,5.1,5.1,7,"2,639","51,657",> 100%National,,All,2018-19,33,5.4,5.1,5.1,8,"2,602","50,941",> 100%National,,All,2018-19,34,5.4,5.1,5.1,6,"2,596","50,970",> 100%National,,All,2018-19,35,5.4,5.1,5.1,13,"2,611","51,113",> 100%

National,,All,2018-19,36,5.4,5.1,5,12,"2,579","51,779",> 100%National,,All,2018-19,37,5.5,5.1,4.9,16,"2,512","51,552",> 100%National,,All,2018-19,38,5.5,5.2,5.3,15,"2,706","51,682",> 100%National,,All,2018-19,39,5.6,5.3,5.3,15,"2,774","52,685",> 100%

AREA,SUB AREA,AGE GROUP,SEASON,WEEK,THRESHOLD,BASELINE,PERCENT P&I,NUM INFLUENZA DEATHS,NUM PNEUMONIA DEATHS,TOTAL DEATHS,PERCENT COMPLETENational,,All,2017-18,40,6.1,5.7,5.8,16,"3,022","52,107",> 100%National,,All,2017-18,41,6.2,5.8,5.9,18,"3,001","51,577",> 100%National,,All,2017-18,42,6.3,5.9,6.1,28,"3,156","52,222",> 100%National,,All,2017-18,43,6.4,6,6.3,23,"3,279","52,543",> 100%National,,All,2017-18,44,6.5,6.1,6.1,36,"3,215","53,667",> 100%National,,All,2017-18,45,6.6,6.2,6.1,45,"3,180","53,240",> 100%National,,All,2017-18,46,6.7,6.3,6.3,50,"3,315","53,767",> 100%National,,All,2017-18,47,6.8,6.5,6,48,"3,202","54,120",> 100%National,,All,2017-18,48,6.9,6.6,6.5,83,"3,493","54,760",> 100%National,,All,2017-18,49,7.1,6.7,6.6,118,"3,528","55,595",> 100%National,,All,2017-18,50,7.2,6.8,6.8,165,"3,759","57,370",> 100%National,,All,2017-18,51,7.3,6.9,7.3,359,"3,987","59,505",> 100%National,,All,2017-18,52,7.4,7,8.3,671,"4,418","61,090",> 100%National,,All,2017-18,1,7.5,7.1,9.6,"1,165","5,156","66,134",> 100%National,,All,2017-18,2,7.5,7.2,10.5,"1,536","5,583","67,495",> 100%National,,All,2017-18,3,7.6,7.2,10.9,"1,626","5,412","64,647",> 100%National,,All,2017-18,4,7.6,7.3,10.6,"1,448","5,187","62,780",> 100%National,,All,2017-18,5,7.7,7.3,10.2,"1,360","4,877","60,974",> 100%National,,All,2017-18,6,7.7,7.3,9.7,"1,243","4,689","61,110",> 100%National,,All,2017-18,7,7.7,7.4,9.7,"1,179","4,599","59,779",> 100%National,,All,2017-18,8,7.7,7.3,9.2,892,"4,426","57,793",> 100%National,,All,2017-18,9,7.7,7.3,8.4,738,"4,044","56,692",> 100%National,,All,2017-18,10,7.7,7.3,8,507,"4,061","57,093",> 100%National,,All,2017-18,11,7.6,7.2,7.6,444,"3,853","56,326",> 100%National,,All,2017-18,12,7.5,7.2,7.4,345,"3,793","55,766",> 100%National,,All,2017-18,13,7.5,7.1,7.4,284,"3,779","54,918",> 100%National,,All,2017-18,14,7.4,7,7.2,300,"3,698","55,294",> 100%National,,All,2017-18,15,7.3,6.9,6.9,214,"3,590","55,228",> 100%National,,All,2017-18,16,7.2,6.8,6.6,153,"3,429","54,038",> 100%National,,All,2017-18,17,7.1,6.7,6.5,119,"3,394","53,727",> 100%National,,All,2017-18,18,7,6.6,6.1,106,"3,198","53,741",> 100%National,,All,2017-18,19,6.8,6.5,5.9,53,"3,032","52,105",> 100%National,,All,2017-18,20,6.7,6.4,5.9,43,"2,955","50,618",> 100%National,,All,2017-18,21,6.6,6.2,5.8,26,"2,951","50,929",> 100%National,,All,2017-18,22,6.5,6.1,5.7,26,"2,905","51,045",> 100%National,,All,2017-18,23,6.3,6,5.6,14,"2,908","52,001",> 100%National,,All,2017-18,24,6.2,5.9,5.7,14,"2,935","51,387",> 100%National,,All,2017-18,25,6.1,5.8,5.6,7,"2,865","51,044",> 100%National,,All,2017-18,26,6,5.7,5.7,9,"2,868","50,855",> 100%National,,All,2017-18,27,5.9,5.6,5.4,10,"2,769","51,684",> 100%National,,All,2017-18,28,5.8,5.5,5.4,5,"2,781","51,191",> 100%National,,All,2017-18,29,5.8,5.4,5.4,8,"2,706","50,609",> 100%National,,All,2017-18,30,5.7,5.3,5.4,12,"2,697","50,274",> 100%National,,All,2017-18,31,5.7,5.3,5.3,4,"2,661","50,637",> 100%National,,All,2017-18,32,5.6,5.3,5.3,10,"2,673","50,967",> 100%National,,All,2017-18,33,5.6,5.2,5.2,5,"2,617","50,301",> 100%National,,All,2017-18,34,5.6,5.2,5.4,10,"2,713","50,459",> 100%National,,All,2017-18,35,5.6,5.3,5.2,6,"2,630","50,611",> 100%

National,,All,2017-18,36,5.6,5.3,5.5,6,"2,749","50,299",> 100%National,,All,2017-18,37,5.7,5.3,5.4,8,"2,761","51,083",> 100%National,,All,2017-18,38,5.7,5.4,5.5,11,"2,819","51,583",> 100%National,,All,2017-18,39,5.8,5.4,5.5,14,"2,814","50,959",> 100%

AREA,SUB AREA,AGE GROUP,SEASON,WEEK,THRESHOLD,BASELINE,PERCENT P&I,NUM INFLUENZA DEATHS,NUM PNEUMONIA DEATHS,TOTAL DEATHS,PERCENT COMPLETENational,,All,2016-17,40,6.2,5.9,5.9,18,"3,024","51,400",> 100%National,,All,2016-17,41,6.3,6,6.1,11,"3,193","52,124",> 100%National,,All,2016-17,42,6.4,6.1,6.2,7,"3,178","51,436",> 100%National,,All,2016-17,43,6.6,6.2,6.1,17,"3,130","51,864",> 100%National,,All,2016-17,44,6.7,6.3,6,16,"3,100","51,741",> 100%National,,All,2016-17,45,6.8,6.4,6.1,19,"3,207","52,524",> 100%National,,All,2016-17,46,6.9,6.5,6,7,"3,192","53,442",> 100%National,,All,2016-17,47,7,6.7,6.2,22,"3,255","53,128",> 100%National,,All,2016-17,48,7.2,6.8,6.5,34,"3,510","54,496",> 100%National,,All,2016-17,49,7.3,6.9,6.6,33,"3,616","55,133",> 100%National,,All,2016-17,50,7.4,7,6.8,46,"3,778","55,977",> 100%National,,All,2016-17,51,7.5,7.1,6.8,92,"3,737","56,696",> 100%National,,All,2016-17,52,7.6,7.2,7.4,157,"4,105","57,613",> 100%National,,All,2016-17,1,7.7,7.3,8.1,289,"4,558","59,763",> 100%National,,All,2016-17,2,7.8,7.4,8,368,"4,505","60,980",> 100%National,,All,2016-17,3,7.8,7.5,8.4,373,"4,621","59,293",> 100%National,,All,2016-17,4,7.9,7.5,8.3,367,"4,427","58,047",> 100%National,,All,2016-17,5,7.9,7.6,8.2,351,"4,452","58,432",> 100%National,,All,2016-17,6,8,7.6,8.2,419,"4,447","59,038",> 100%National,,All,2016-17,7,8,7.6,8.5,545,"4,419","58,479",> 100%National,,All,2016-17,8,8,7.6,8.5,605,"4,369","58,288",> 100%National,,All,2016-17,9,7.9,7.6,8.4,534,"4,260","57,256",> 100%National,,All,2016-17,10,7.9,7.5,8.2,472,"4,223","57,477",> 100%National,,All,2016-17,11,7.8,7.5,7.9,376,"4,100","56,656",> 100%National,,All,2016-17,12,7.8,7.4,7.7,319,"4,091","57,045",> 100%National,,All,2016-17,13,7.7,7.3,7.6,333,"3,887","55,703",> 100%National,,All,2016-17,14,7.6,7.2,7.4,266,"3,821","55,160",> 100%National,,All,2016-17,15,7.5,7.1,7.3,208,"3,776","54,861",> 100%National,,All,2016-17,16,7.4,7,6.9,162,"3,489","53,070",> 100%National,,All,2016-17,17,7.3,6.9,6.7,90,"3,458","53,295",> 100%National,,All,2016-17,18,7.2,6.8,6.4,63,"3,308","52,657",> 100%National,,All,2016-17,19,7,6.7,6.3,50,"3,216","51,985",> 100%National,,All,2016-17,20,6.9,6.5,6.2,53,"3,201","52,480",> 100%National,,All,2016-17,21,6.8,6.4,6.1,24,"3,091","50,972",> 100%National,,All,2016-17,22,6.6,6.3,5.9,23,"3,019","51,256",> 100%National,,All,2016-17,23,6.5,6.2,6.1,17,"3,127","51,418",> 100%National,,All,2016-17,24,6.4,6,6.1,19,"3,069","50,797",> 100%National,,All,2016-17,25,6.3,5.9,5.9,15,"2,982","51,195",> 100%National,,All,2016-17,26,6.2,5.8,5.9,10,"2,954","50,617",> 100%National,,All,2016-17,27,6.1,5.7,5.6,18,"2,824","50,959",> 100%National,,All,2016-17,28,6,5.6,6.1,4,"3,047","49,973",> 100%National,,All,2016-17,29,5.9,5.6,5.5,10,"2,755","50,127",> 100%National,,All,2016-17,30,5.9,5.5,5.8,3,"2,853","49,362",> 100%National,,All,2016-17,31,5.8,5.5,5.4,4,"2,695","50,087",> 100%National,,All,2016-17,32,5.8,5.4,5.4,6,"2,722","50,237",> 100%National,,All,2016-17,33,5.8,5.4,5.4,11,"2,689","50,185",> 100%National,,All,2016-17,34,5.8,5.4,5.6,7,"2,756","49,517",> 100%National,,All,2016-17,35,5.8,5.4,5.4,7,"2,716","50,832",> 100%

National,,All,2016-17,36,5.8,5.5,5.6,12,"2,825","50,979",> 100%National,,All,2016-17,37,5.9,5.5,5.9,7,"3,021","51,694",> 100%National,,All,2016-17,38,5.9,5.6,5.8,16,"2,935","51,229",> 100%National,,All,2016-17,39,6,5.6,5.7,19,"2,888","51,342",> 100%

Attachment D