Pre-print study highlights the errors, omissions and lies of the CDC

Eighteen pages from here:

Statistical and Numerical Errors Made by the US Centers for Disease Control and Prevention During the COVID-19 Pandemic by Kelley Krohnert, Alyson Haslam, Tracy Beth Hoeg, Vinay Prasad :: SSRN

Full paper available to download or display in browser: https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID4381627_code4893417.pdf?abstractid=4381627&mirid=1

https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID4381627_code4893417.pdf?abstractid=4381627&mirid=1&type=2

Authored by Kelley Krohnert, Independent Analyst, Alyson Haslam, University of California, San Francisco (UCSF), Tracy Beth Hoeg, University of California, San Francisco (UCSF) and Vinay Prasad, University of California, San Francisco (UCSF) - Department of Epidemiology and Biostatistics.

Written on March 7, 2023, posted on March 23, 2023

“Results: We documented 25 instances when the CDC reported statistical or numerical errors. Twenty (80%) of these instances exaggerated the severity of the COVID-19 situation, 3 (12%) instances simultaneously exaggerated and downplayed the severity of the situation, one error was neutral, and one error exaggerated COVID-19 vaccine risks. The CDC was notified about the errors in 16 (64%) instances, and later corrected the errors, at least partially, in 13 (52%) instances.”

This kind of stands out! “..one exaggerated COVID-19 vaccine risks” !!!! sounds improbable !!!!

In its conclusion, the pre-print states “the federal entity responsible for reporting health statistics should be firewalled from the entity setting policy due to concerns of real or perceived systematic bias in errors.”

Systematic bias = corruption and political dogma.

JustTheNews.com covered this pre-print here:

'Unacceptable incompetence': CDC made dozens of basic data errors on COVID, epidemiologists find | Just The News

“T he CDC found itself hoist with (Ed: “hoisted by”?) its own petard by making 25 basic statistical and numerical errors related to COVID-19, particularly with regard to children, while purporting to expose COVID vaccine misinformation, according to an analysis led by University of California San Francisco epidemiologists.”

Here are a few tweets from the JustTheNews.com article:

(20) Vinay Prasad MD MPH on Twitter: "Just OUT @SSRN By @KelleyKga, AH, @TracyBethHoeg @vkprasadlab An Analysis of Statistical and Numerical Errors Made by the US @CDCgov The errors are damning. Basic counts of dead kids, causes of childhood death. Unacceptable incompetence 👇 https://t.co/szmB78lfDC see 🧵 https://t.co/P9RMA2KywH" / Twitter

(20) Kristen Mag on Twitter: "@TracyBethHoeg @CDCgov @KelleyKga @VPrasadMDMPH It’s just so striking to see all these errors at once. Reckless incompetence from @CDCgov. Thank you for your work! 👏 👏 👏 https://t.co/59XjKWOBn7" / Twitter

(20) Theo Jordan on Twitter: ""Data supports the efficacy of Paxlovid regardless of Covid vaccination status or prior infection." What?!? Their study concluded the exact opposite. There is ONLY statistical benefit if you are BOTH unvaxxed and high-risk. It's right in their own data!🤬 https://t.co/bMfnH4I9eS" / Twitter

(20) David Boulware, MD MPH on Twitter: "#Paxlovid effect on reducing #COVID19 hospitalizations in vaccinated population finally revealed to the public by FDA. #IDTwitter 0.9% (3/317) paxlovid vs. 2.2% (7/314) placebo https://t.co/fO0hTWq168 https://t.co/78MTXDN9rZ" / Twitter

I suggest that the errors, omissions and lies are not down to incompetence. They are evidence of spite, malice aforethought and political corruption.

Onwards!

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