Exploratory Data Analysis
Of the reactions, how many deaths were reported each year?
Field Analysis:
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use vaers_2019 go Select DIED , count(*) Count from dbo.[VAERSDATA] group by DIED
| DIED | Count | Percent Weight |
|---|---|---|
| NULL | 751,333 | 98.93 |
| Y | 8,150 | 1.07 |
| Total | 759,483 | 100 |
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In the field DIED, the only values are NULL and Y. No data anomalies such as blanks or other characters. Clean data.
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Percent DIED by Year:
select Year ( s_date ) Year , Count (DIED) Count_DIED , count(*) Count_Reactions from dbo.[VAERSDATA] group by Year ( s_date ) order by 1
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| Year | Count_DIED | Count_Reactions | Percent DIED Each Year |
|---|---|---|---|
| 1990 | 80 | 2,151 | 3.72 |
| 1991 | 166 | 9,992 | 1.66 |
| 1992 | 228 | 10,817 | 2.11 |
| 1993 | 234 | 10,309 | 2.27 |
| 1994 | 237 | 10,354 | 2.29 |
| 1995 | 158 | 10,273 | 1.54 |
| 1996 | 151 | 11,189 | 1.35 |
| 1997 | 173 | 11,608 | 1.49 |
| 1998 | 172 | 10,782 | 1.60 |
| 1999 | 179 | 12,878 | 1.39 |
| 2000 | 212 | 15,114 | 1.40 |
| 2001 | 225 | 14,633 | 1.54 |
| 2002 | 187 | 15,331 | 1.22 |
| 2003 | 265 | 18,082 | 1.47 |
| 2004 | 208 | 16,510 | 1.26 |
| 2005 | 215 | 17,447 | 1.23 |
| 2006 | 220 | 19,330 | 1.14 |
| 2007 | 262 | 30,813 | 0.85 |
| 2008 | 333 | 33,443 | 1.00 |
| 2009 | 337 | 37,042 | 0.91 |
| 2010 | 319 | 36,578 | 0.87 |
| 2011 | 331 | 31,126 | 1.06 |
| 2012 | 316 | 32,110 | 0.98 |
| 2013 | 339 | 36,262 | 0.93 |
| 2014 | 358 | 41,241 | 0.87 |
| 2015 | 377 | 51,954 | 0.73 |
| 2016 | 437 | 53,699 | 0.81 |
| 2017 | 459 | 46,344 | 0.99 |
| 2018 | 535 | 57,806 | 0.93 |
| 2019 | 434 | 53,846 | 0.81 |
| 2020 | 3 | 419 | 0.72 |
| Totals | |||
| 1990-2020 | 8,150 | 759,483 | 1.07 |
| 1991-2019 | 8,067 | 756,913 | 1.07 |
—
Statistics For Years 1991-2019:
| Stats: 1991-2019 | Percent DIED by Year |
|---|---|
| Min | 0.73 |
| Max | 2.29 |
| Median | 1.22 |
| Mean | 1.27 |
| Standard Deviation | 0.43 |
| Kurtosis | 0.57 |
—
Analysis:
There are 29 data points (rows) for the years 1991 to 2019.
Total n values:
Count_DIED:
n=8,067
Count_Reactions:
n=756,913
The mean (1.27) and median (1.22) are very close to each other, indicating the data is not significantly skewed.
Both the mean and median are multiples (~2.8 times) larger than the standard deviation (0.43), indicating that there is little variability.
Post vaccinations, the number of DIED per year is pretty consistent.
For all years, the average is 1.07% of all reactions.
The trend is clear. Both the number of reactions, and the number of people who DIED after a vaccination are rising.
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In your analysis you state that: “The trend is clear. Both the number of reactions, and the number of people who DIED after a vaccination are rising”. This affirmation, while true is superficial and misleading. The increase in reactions and deaths can be explained by the increase in population size. More people in the population naturally means there’s an increase in reactions and deaths without an increase in the percentage of the population affected. If you look at the percentage of deaths on the 4th column, there’s an actual downward trend over the years at least until 2019. The real question is: what will those numbers and trends look like for 2021 and 2022 when the covid vaccines were introduced.
Huh?
You are speculating that an increase in population
explains the increase in reactions?!
Reactions by year:
1991: 9,992
2019: 53,846
53,846/9,992
= 5.39 times
Did the population of the USA, or the world,
increase 5.39 times in the 28 years between
1991 and 2019. Of course not.
If you want to make a case, you must show the numbers.
Include the statistical regression line,
with the R squared confidence level.