Post-Mortem
This was my Twitter 2-part thread to try and untangle the crap CDC data regarding COVID-19 deaths. Of course it was garbage, as we all know now beyond a shred of doubt, the CDC could not accurately report it, because the whole pandemic was a scam from start to finish.
In Part 1, I located CDC data and tried to make sense of it all. It’s confusing and just as I was working my way through it, the CDC revamped the datasets. So I had to scrap all the work I did to “cleanse” the original data. I then started over and broke it down in Part 2.
I downloaded the data daily (M-F) for the whole month of May and most of June. I did a very short Part 3, but didn’t archive it, as I basically wrote that there were no new insights — all garbage, but I’d continue monitoring in case something changed. Then I scaled it back to just doing a weekly download.
By the end of August 2020, I saw no point in continuing as it was all bogus. The proof is that between 2016 and 2019, when one looks at the annual “excess” deaths, there’s a slight upward trend, merely a function of a growing and aging population. But the total deaths for all of 2020 is actually just a tad over 2019. And compared to other causes of death, COVID-19 is a nothingburger.
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Annual Death Rates in Germany![]() |
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So without further ado, here is Part 1.
1) OK, it took me a couple of days,
but it’ll be a while yet before I get anything useful. When working with data, my pet peeve is garbage… GIGO…
Methinks the CDC database admin in over his/her head…
@Scavino45@realDonaldTrump@DonaldJTrumpJr
2)… First things first,
examining the source data from CDC, as of 02 May 2020.
14 columns in this dataset…
WTH is “Start Week” & “End Week”? (Strike 1). If up to me, SW would be Sunday’s date and EW would be Saturday’s date – more useful.
7)… I downloaded today’s updates and the table is twice as large,
instead of 14 weeks, I count 28 weeks, apparently all duplicated 🤷♂️ (Strike 3). Garbage…
8)… Preliminary review of the other categories of death don’t add up.
As @DrDannielle surmised, perhaps totals are being inflated, or DBA is incompetent.
Either way, I need to analyze the source data to figure out what’s going on. I’ll update when I have more.