FudgeGate: Return Of The Fudge
FudgeGate: Return Of The Fudge
AnyGate, RaceSortGate, NullGate, and yet more FudgeGate
Those of you who have read the gripping tales of the first FudgeGate article, might be surprised to find Elizabeth Bik — the person who retweeted the ‘Our World In Data’ graph based on the fudged CDC dataset — has gone into hiding after their bunk data was exposed.
Their bio misleadingly claims that they’re “temporarily on private” because they “tweeted that vaccines works”, which is simply false. They had to run and hide because they got caught spreading bunk CDC data that the Twitterverse became palpably outraged at.
Ironically their account says “science integrity” and that they write for “scienceintegritydigest”, but they haven’t admitted to the fact the CDC data they referenced was fraudulent, and therefore, lacks integrity.
Elizabeth could have admitted to a genuine mistake — the CDC were the ones who foisted the bad data, Elizabeth had simply reposted a graph generated by another website based on that bad data — however her doubling-down and giving a misleading justification on going private speaks volumes. Vaccine cultists gunna cult.
There’s Even More Fudge
The Daily Beagle wanted to explore and chase down additional CDC data errors, including an analysis, but we prioritised an East Palestine train disaster write-up as lives were at immediate risk.
We can now resume our analysis — and the fudge gets worse!
NullGate
This time, blank cases and deaths, and a vaccinated population of… zero! Yeah you read that right.
Steps to recreate:
Open up the “Rates of COVID-19 Cases or Deaths by Age Group and Updated (Bivalent) Booster Status” page
Click Export→CSV
Open downloaded CSV file in LibreOffice Calc
In LibreOffice Calc use Data→Autofilter
Filter age_group to all_ages
Filter mmwr_week to 202140
You’ll notice in the vaccinated_population there’s now zero vaccinated, and in the vaccinated_outcome field (column F, partially hidden), there are two blank spaces. Not ‘0’: blank, as in null. For both case and death in order.
Essentially the CDC have fudged it to make it look like the booster group have suffered no cases or deaths… by omitting deaths and cases entirely, and setting the vaccinated population to zero. NullGate.
Why worry about integrity of datasets when you can just delete?
Once again unvaccinated population is using floating points, have inconsistent figures between case and death outcomes, despite being duplicated into the “vax with updated booster” groups. So they have no problem with copy-pasting population figures, unless they change outcome groups, then the fudge begins!
The suspicion of The Daily Beagle is the CDC are using ‘weights’ to generate artificial unvaccinated population figures. A weight is a sort of multiplier used to distort numbers. IE these are not the original figures. ‘Duh, of course they aren’t’.
AnyGate
Not even related to the poison SARS-CoV-2 shots, but flu shots and pregnancy.
Steps to recreate:
Go to the extremely wordy “Archived Cumulative Data: Percent of pregnant people aged 18-49 years receiving at least one dose of a COVID-19 vaccine during pregnancy overall, by race/ethnicity, and date reported to CDC-Vaccine Safety Datalink”
Export→CSV
Open downloaded CSV in LibreOffice Calc
Filter to the very first date under ‘Date Reported to CDC’, in this case, 01/01/2022
Marvel at “Vaccination Coverage Status” only having two options; either you’re ‘Fully Vaccinated’ or ‘Any’. Where is the unvaccinated cohort? How many doses is ‘fully vaccinated’? We don’t know because the CDC just lumps everything else into ‘any’.
They do the same with pregnancy status. Apparently the CDC cannot distinguish if you’re pregnant before or after. ‘They all look the same to me’ says the CDC, lumping it into any.
CDC, you do realise a post-birth baby isn’t going to get affected by the shot of a no-longer pregnant mother, right? AnyGate. Why have quality data when you can have any?
But wait, is that racism I see on the event horizon?!
RaceSortGate
It is difficult to interpret what this column could even be legitimately used for. Again, it’s influenza data time!
To recreate, follow the steps:
Export→CSV
Open downloaded CSV in LibreOffice Calc
Data→Autofilter
Set Geography_Name filter to National
Set Geographic_Level filter to National
Set Age_Group to ‘All Adults (18+)’
Set Urbanicity to ‘Overall’
Raise your eyebrow at “Race_Ethnicity_Sort_Order”. Races apparently have a priority sorting order, with Whites ranking 8 out of 8 possible rankings, below even “Other/Multiple Races, Non-Hispanic”. The vague ‘overall’ race takes slot 1.
There’s seemingly no logic to this order. It isn’t by population size (Whites are largest, followed by Blacks, then Hispanics). It doesn’t go by usual ‘Woke’ standards — Native Hawaiians get bumped to the bottom along with Whites. Asians (who have a lower population count) sit higher than Blacks. Que?
What purpose does ‘Race_Ethnicity_Sort_Order’ serve? How did they come up with these ‘rankings’? Why it is included in the CDC’s published dataset? Who uses this data? RaceSortGate, everybody.
And FudgeGate Returns
Yet more population fudging statistics in other files. This fraud is systemic!
Steps to recreate:
Open page “Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and Booster Dose”
Export→CSV
Open downloaded CSV in LibreOffice Calc
Filter age_group to all_ages
Filter vaccine_product to all_types
Filter mmwr_week to 202138
Once again, “.8” of a unvaccinated person and inconsistent population counts between case and death outcomes for all categories of boosted, “primary_series_only” and unvaccinated. What is ‘primary_series_only’?
Humpty Dumpty said in rather a scornful tone, 'it means just what I choose it to mean — neither more nor less.'
Counting number of doses is hard. Better make up some new terms to reclassify the vaccinated again! Or otherwise just delete the data and pretend the vaccinated don’t even exist. Can’t die if you don’t exist. Lalalala.
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I'm shocked. Shocked I tell you! Cooking numbers to produce a desired outcome? These are people of Science! They would never...
Oh yeah this happens all of the time now. It's kind of like the GISS datasets. The raw numbers always produce a flat line but somehow it always turns into a warming trend for the "hottest year ever."
is there a way to use their maths to complete my tax return?