Undeleting a Gigabyte of data purged on Nov 11, 2022 by the CDC
Download the censored data here, and details being provided
On November 11, 2022 the CDC removed a gigabyte of injection health-damage data (nearly half of the covid VAERS data gone). This is the first time the censorship scope has both been quantified and also offered for download although many have commented on it well, and I provided some detail earlier focusing on the countries mainly affected.
Download the data: vaers_with_blankings_2022-11-04_to_2022-11-11.xlsx
These files are listed at https://univaers.com/download/special/2022-11-11_purge_details/
vaers_with_blankings_2022-11-04_to_2022-11-11.xlsx — the 479,119 reports that had any cells/fields blanked. Only applying to covid jabs.
df_11_deleted.csv — Additional entire reports that were deleted on 2022-11-11.
PY_rename_it_vaers_purging_info.txt — The open source code (as .txt).
run_output.txt — Output on running that code.
1,034,587,262 bytes were removed in the purge by individual cells …
… however there were also 2,433 reports deleted entirely (4,821,252 bytes)
TOTAL
1,039,408,514 total bytes removed (1.039 GB)
Another consideration: 159 were delayed/throttled until 11-11 but only one of them (VAERS_ID 2497449) had a blank writeup, it is being ignored here.
Purged volume by column
The process. Consider it correct unless someone complains.
Flatfiles for both dates, containing all of the information for each report in a single row.
A capped version of 11-11 only up to the top VAERS_ID in 11-04.
Set of VAERS_IDs in both 11-11_capped and 11-04.
Using that set to isolate all reports common to both.
Saving those as CSV, noting the file size (and subtracting header rows).
Add the deleted reports
That’s basically it although there’s a little more visible in the code above.
Have a nice day.