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Mathew Crawford Profile picture
@EduEngineer
Feb 3, 2023 • 41 tweets • 17 min read • Read on X
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1. This thread will reveal the details of how the #HealthyUserBias demonstrates that the #COVID19vaccines (at least used in the U.S.) have zero efficacy.

This will take a few days to complete...follow me on this one...make Big Data proud. Image
2. Here is the punchline up front: Using the @CDCgov's data for all 3.141 U.S. counties, the only correlation between vaccine uptake and COVID-19 mortality is fully explained by the fact that wealthier (healthier on average) people are more vaccinated. Image
3. "Oh, but how can that be...the trials said 95%...THE TRIALS!"

The trials were rushed past the obvious need to check to see if the vaccines themselves confounded PCR positivity.
roundingtheearth.substack.com/p/nonsensical-…
4. And you absolutely cannot ignore the implications of the @IamBrookJackson lawsuit in which @pfizer has chosen to hide behind the @DeptofDefense.

roundingtheearth.substack.com/p/brook-jackso…
5. Never forget the absurdly long list of ways in which data was hidden, obscured, or fabricated.

roundingtheearth.substack.com/p/hiding-the-t… Image
6. Now, we need a definition of the Healthy User Bias (HUB). Perhaps Wikipedia can help?

The Wikipedia is so short you'd think the topic were unimportant.

en.wikipedia.org/wiki/Healthy_u…
7. All we get from Wikipedia is a vague story that HUB "can damage the validity of epidemiologic studies" due to the fact that "subjects that take up an intervention, including by enrolling in a clinical trial, are not representative of the general population."
8. The Healthy User Bias (HUB) is the bias observed in medical intervention studies due to the recipients being healthier on average.

But could this HUB be behind all the apparent vaccine effictiveness (VE) that we see in retrospective analyses?

Yes. Yes, it can. From CDC data: Image
9. "If this were true, the experts would have told us so."

Oh, you're adorable.

I'm guessing that by "expert" that you mean Paul "Ten Mouse Minimum Testing Standard" Offit. Image
10. Paul is a big fan of something called the Vaccine Safety Datalink (VSD). The VSD was established in 1990, the same year that the Vaccine Adverse Events Reporting System (VAERS) was established.

Is the VSD the oracle that tells us that the C19 vaccines are effective?
11. The VSD is a consortium of health providers in several states, almost half of which are Kaiser Permanente. This would seem to give the impression of a vast user database that would dodge confounders. Does it dodge HUB? Image
12. Not only does VSD not dodge HUB, it seems to be designed to enshrine it!

The VSD's own data on non-COVID mortality shoes extreme levels of HUB.
roundingtheearth.substack.com/p/proof-of-sta… Image
13. If you take the VSD, unadjusted and raw, it shows C19 quasi-vaccine recipients enjoying up to 72% lower mortality (depending on age bands) for non-COVID deaths!

Huh. Image
14. Here is a video presentation that I gave with @PanData19 a few weeks ago on how the HUB is behind an #EfficacyIllusion.
15. Now, let's break the HUB down into two pieces:

(a) Healthy vaccinee bias, and
(b) Confounding by indication.

This will help anyone performing a literature review. Image
16. These sound almost nothing like one another, but they describe something similar: variables that indicate a difference in health between two cohorts observed for an experiment. Image
17. Ideally, cohorts should mirror one another, but a high level of balanced risks is hard to achieve, and later I'll show how authorities rigged a heavy risk skew through #vaccinemandates. Image
18. Prior health variable: The healthy vaccinee bias describes the fact that (in aggregate) healthier people are more likely to seek vaccination. #Conscientiousness
psychologytoday.com/us/basics/cons…
19. Subsequent health variable: Confounding by indication describes the fact that people who seek a health intervention (vaccine or other) are more likely to take better care of their health moving forward. #Relieved to resume life again.
20. The difference between these data bias types is whether health effects from before or after the point of intervention confound the results.

Most often, I'll just wrap them up into the HUB. After all, the overlap is intuitively very high.
21. While that Wikipedia article was tiny, there is a substantial body of literature on HUB and its component biases. This systematic review of flu VE studies found HUB all over published research.
bmcinfectdis.biomedcentral.com/articles/10.11… Image
22. In a paper measuring HUB among seniors receiving flu vaccination (Jackson et al, 2006), HUB accounted for the entirety of VE.
academic.oup.com/ije/article/35… Image
23. Toby Rogers notes that the CDC only measures modest (8% to 14%) VE for flu vaccines recently. But is that real?

tobyrogers.substack.com/p/the-fdas-pro… Image
24. Toby points out...no, it's not. The CDC published (Delahoy et al, 2021) found #ZeroEfficacy among students at the University of Michigan (who would have more similar health profiles).
cdc.gov/mmwr/volumes/7… Image
25. But wait! While recent influenza vaccines may have zero effectiveness in stopping the flu, one study (Hosseini-Moghaddam, et al, 2022) finds flu vaccination associated with lower risk for COVID-19!
jamanetwork.com/journals/jaman… Image
26. If you're thinking that no scientist worth their salt would suggest that vaccines are particularly effective at preventing completely different diseases consistently (hello VSD? Is this thing on?), know that eagle eyes are required to prevent such nonsense. Image
27. T Coddington also finds HUB all over #vaccine data. He has graphed serious indicators of poor health versus booster uptake showing much great dose administration in areas where the people are healthier.
inumero.substack.com/p/healthy-user…
28. More specifically, he firms up my claim that "wealth is health"! The association between booster uptake and median household income is the same as with life expectancy. Image
29. Here is another scatter plot with U.S. county data as of mid-August 2022 (Operation Uplift), this time with both axes rank-ordered (each number is ranked from 1 to the total number of counties, in strictly increasing order). Image
30. The lack of clustering in that rank-rank plot indicates little if any relationship between vaccination and COVID-19 case *growth*. The first derivative is a better indicator of relative rate VE than the case function itself!
31. That first derivative is similar to R, and even when we break this down (h/t Tim Snyder) by month, we see no trend for R with respect to vax status. Image
32. Now those studies showing similar viral loads between the vaccinated and unvaccinated populations (Riemersma et al, 2021) make sense, right? The antibodies aren't reducing COVID-19 mortality.

medrxiv.org/content/10.110… Image
33. Obligatory reminder: antibodies aren't magic faerie dust.

roundingtheearth.substack.com/p/vrbpac-prese… Image
34. In Japan, researchers (Aug 2022 Med Check, Vol. 8, No. 24r) discovered two cases of data manipulation by the Japanese Ministry of Health, Labor, and Welfare. Image
35. I'm still old enough to remember that time that the Society of Actuaries completely missed HUB embedded in the ecological fallacy in their own report. Good thing I'm here to correct them. @DowdEdward

roundingtheearth.substack.com/p/reanalysis-o…
36. "But the trials PROVED 95%"

Would you even know when rollouts occured if I didn't point to them on this graph? Image
37. And why did the military contractor SAIC pull their data shortly after posting it online? Data from within any one institution tends to correct for the HUB (like the Michigan flu vaccine VE study).

roundingtheearth.substack.com/p/the-saic-dat… Image
38. "But the international data..."

Wrong. Nation-by-nation analysis never looked good for the experimental quasi-vaccines from the start.
39. Check out this response by the ONS to several quality researchers who poked the ONS about problems in their data presentations...

40. The ONS admits that the sample they report publicly is skewed and biased. Leaving out more of the unvaccinated young furthers the effective HUB bias with respect to their numbers.

osr.statisticsauthority.gov.uk/correspondence… Image
41. The incentives are needed to sculpt the effect. Why 63%? Somebody computed the number ahead of time.

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More from @EduEngineer

Mathew Crawford Profile picture
Feb 5
1. I've thought this for several years now: We are being set up for a Civil War.
2. The Sinophobia media is full tilt. Everything gets blamed on China, and even alt media and chaos agents work hard in tight chat groups to push people away from truly independent voices who might calm people's emotions.
3. This is part of why the #DMED military health database was important, and why I was hard-psyoped by both sides: The data contractor who handles that data also handles the border data. They were likely put in place to manipulate a lot.
Read 10 tweets
Mathew Crawford Profile picture
Jan 21
1. Was #EffectiveAltruim involved in the #plandemonium? Image
2. I will piggyback off of @TheLiamSturgess's article from last year. We focus on the man on the right, Tony Ord. On our left is EA Goober-in-Chief, home-dumorph Slick Willy MacAskill.

liamsturgess.substack.com/p/examining-ef…
Image
@TheLiamSturgess 3. Ord is a Fellow of the Future of Humanity Institute. Does it often feel like these organizations name themselves exactly what they do not really value?
en.wikipedia.org/wiki/Future_of…
Image
Read 21 tweets
Mathew Crawford Profile picture
Jan 16
@WogPogReal The Big Picture (New World Order) graph:


There are embedded graphs in this to zoom in.embed.kumu.io/8211aa06e50ce0…
@WogPogReal Here is the Occult/cult/intelligence graph (under construction, but functional and educational):
embed.kumu.io/1e40bc0c38b095…
@WogPogReal Here is the Scientology graph (under construction):
embed.kumu.io/9244a4dc4ae0f1…
Read 12 tweets
Mathew Crawford Profile picture
Jan 13
1. While everyone is gossiping about the #Epstein connection to Thomas Pritzker, and how that family is associated with transgenderism, it is important to note Thomas Pritzker's role in national and international security... Image
2. Pritzker is often referred to as a billionaire hotelier. But that's just an explanation of what his financial feedback loop looks like. Image
3. Far more important is that Pritzker is the Chairman of the world's largest think tank, which is focused on matters of national security. This is what gets called "philanthropy" in a Wikipedia profile. It's wonderful how Wikipedia aids such PR work. Image
Read 5 tweets
Mathew Crawford Profile picture
Dec 18, 2023
1. Robert McNamara was JFK's head of the Department of Defense. But it's worth delving a little deeper to understand McNamara's seat at tables of power... Image
2. The San Francisco native, one of Henry Ford II's "whiz kids", served as President of the World Bank. Few men have held such seats of power over both banking and military. Image
3. McNamara held important positions in many organizations, including the Brookings Institute and the California Institute of Technology. But his story gets...a little weird... Image
Read 12 tweets
Mathew Crawford Profile picture
Dec 15, 2023
1. Understanding what the Rockefellers did with their money is one of the keys to understanding the global #cybernetic machinery we live in, and also the #Mindwar we have been experiencing at an excellerating rate. Image
2. John D. Rockefeller funded the development of the propaganda industry with men like Ivy Lee (who then went and worked for Hitler).
en.wikipedia.org/wiki/Ivy_Lee
Image
3. Ivy Lee's career trajectory should already be suggestive of the notion of controlled opposition.

Fun fact: There is no Wikipedia page for controlled opposition. But there is one for COINTELPRO.

en.wikipedia.org/wiki/COINTELPRO
Image
Read 23 tweets

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