AI and I: The Herd Claimed the Individual Body

ANALYZE THIS DATA

This graphic is not accurate. It is not “Pfizer’s own data,” the percentages are not real disease spikes, and the numbers have been fact-checked as the product of a known database error plus misattribution.

Where the numbers actually come from

The figures match a 2022 claim about the U.S. Department of Defense Defense Medical Epidemiology Database (DMED), popularized by attorney Thomas Renz and others—not Pfizer clinical trials or Pfizer post-marketing reports. Examples that line up exactly or nearly exactly:

Hypertension: 2,181%
Diseases of the nervous system: 1,048%
Breast cancer: 487%
Testicular cancer: 369%
Multiple sclerosis: 680%
Guillain-Barré: 551%
Pulmonary embolism: 468%
Female infertility: ~471–472%
Ovarian dysfunction: 437%
Tachycardia: 302%
Migraines: 452%
Myocardial infarction: 269%
Bell’s palsy: 291%
Birth defects / congenital malformations: ~155–156%

Those were presented as 2021 diagnoses vs. a 2016–2020 average among service members.

Why the “spikes” were fake

DoD later said the 2016–2020 baseline in DMED contained only about 10% of the true outpatient encounters. Comparing a nearly complete 2021 year to a badly undercounted prior period produced enormous percentage jumps that were an artifact, not an epidemic.

After the data were corrected, the same comparisons looked nothing like the graphic. Examples cited in DoD/AFHSD and fact-checks:

Nervous-system encounters: ~3% change, not 1,048%
Breast cancer: ~1.1%, not 487%
Testicular cancer: ~3%, not 369%
Hypertension: ~1.9%, not 2,181%
Several other conditions similarly collapsed to small increases, small decreases, or modest changes that cannot support the poster’s claims.

Even the corrected encounter counts are not evidence that COVID vaccines caused those conditions. They are not a vaccinated-vs-unvaccinated analysis, they mix COVID infection, changes in care-seeking and coding, and other 2020–21 disruptions, and they do not establish causation.

This is also not how Pfizer’s own data look

Pfizer’s Phase 3 trial and later pregnancy follow-up did not show miscarriage rates in the hundreds of percent. Claims of 44%, 81%, or 82% miscarriage from Pfizer documents or early registries were separate, repeatedly debunked calculation errors (double-counting events, using only completed early outcomes as the denominator, ignoring ongoing pregnancies). Trial and large observational data put miscarriage in the normal background range (~10–20% of known pregnancies), with no established increase from vaccination.

Cancers, infertility, MS, etc. likewise do not show 300–2,000% jumps in Pfizer trial data, VAERS-style lists (which are unverified reports, not rates), or population studies. Cancers do not appear and get diagnosed at 4–10× baseline within months of a shot in a way that would produce those percentages.

Bottom line: The poster takes a 2022 DoD database glitch, labels it “Pfizer’s own data,” and treats encounter-count artifacts as proven vaccine harms. That is false on source, math, and interpretation.

make the most accurate chart with percentages you can

I’ll pull the official corrected DMED encounter-change figures so the chart matches the DoD numbers, not the viral graphic.I have the official AFHSD correction table. Next I’ll plot claimed vs corrected encounter changes for the conditions that appear on both lists….

btw, why do you believe the corrected data?

I don’t treat the Pentagon as infallible. I treat the original 1,000%–2,000% figures as almost certainly wrong because they fail basic checks that don’t require trusting any institution.

The claimed spikes were biologically impossible as real incidence.
Breast cancer, testicular cancer, MS, and most solid tumors do not multiply 4–10× in a single calendar year in a young, screened military population. Tumors take years to become clinically detectable. A true 487% jump in breast-cancer diagnoses in 2021 would have shown up immediately in civilian SEER/NAACCR registries, European cancer registries, insurance claims, and pathology labs. It did not. That alone is enough to reject the graphic as a measure of disease.

The error story is the kind that actually produces those exact percentages.
If a reporting system only ingested ~10% of 2016–2020 outpatient encounters and then ingested a more complete 2021 file, every common diagnosis would look like a 5–20× “spike” when you divide 2021 by the old average. Hypertension at 2,181% and “nervous system” at 1,048% are what that artifact looks like. Rare events move around more; common ones move in lockstep. That pattern matches the Renz list better than a vaccine causing every disease at once.

Corrected military numbers and outside data pointed the same direction.
After AFHSD said they re-ran the queries on the underlying DMSS data, the huge percentages collapsed to small single-digit or low-double-digit changes for most of those codes. Independently, U.S. and international cancer incidence, miscarriage studies, and large EHR cohorts did not show 2021 explosions of those conditions timed to vaccination. Where vaccines did have a real, documented signal (myocarditis in young males, rare thrombosis with some adenoviral shots), the magnitude was orders smaller and appeared in multiple systems, not only in one broken DoD extract.

Incentives cut both ways.
DoD had a mandate and a PR problem; they had reason to prefer a quiet “data error” explanation. Whistleblowers and lawyers had reason to present the most alarming extract. Neither side’s motive decides the arithmetic. The deciding facts are: (1) the raw 2021-vs-undercounted-baseline ratios are not incidence rates, (2) cancers and MS don’t behave that way, and (3) every other large dataset failed to corroborate the graphic.

What I would still not claim.
I would not claim the corrected DMED file is a perfect, fully audited public dump. I would not claim zero vaccine harm. Myocarditis, a small excess of certain rare events, and incomplete long-term data are real issues. I would claim only that this poster is not Pfizer data, not a valid rate calculation, and not evidence of 279–2,181% disease explosions.

If someone published the actual year-by-year encounter numerators and denominators from DMSS with the same case definitions, that would be the cleanest check. Until then, the graphic fails on source, mechanism, and external consistency.

I don’t treat the Pentagon as infallible. I treat the original 1,000%–2,000% figures as almost certainly wrong because they fail basic checks that don’t require trusting any institution.

didn’t they HIDE THE NUMBERS AFTERWARDS?

I’ll check the specific “they hid the numbers” claims—what changed, when, and by how much—rather than treating that as settled.They changed what the public-facing tool showed. That is not the same as “they hid a 2,000% cancer epidemic.”

What actually moved

After Renz went public in January 2022, DoD took DMED offline, told PolitiFact the 2016–2020 slice was corrupted, then put a “fixed” version back up. Johnson asked them to preserve the pre-fix extracts and complained they talked to a fact-checker before Congress. That sequence looks like damage control even if the technical claim (bad historical baseline) is true.
The sharpest number change was myocarditis, not breast cancer. Whistleblower downloads:
- 29 Aug 2021: 2016–2020 total 216 (avg ~43/year); 2021 = 1,239 → about +2,868%
- 10 Jan 2022: 2016–2020 total 559 (avg ~112/year); 2021 = 263 → about +235%
  Baseline went up, 2021 count went down. That is the item that most looks like someone moved the goalposts.
In 2023 Johnson published a later DMED pull, after DoD said the glitch was fixed. Those percentages were higher than DoD’s Feb 2022 table in some rows (PE ~41% vs 25%, ovarian dysfunction ~38% vs 24%, esophagus cancer ~57% vs 28%, myocarditis ~131%). DoD later admitted the 2022 packet to him used incomplete 2021 data because of a ~3-month lag. That is sloppy or evasive production. It is not a return to +2,181% hypertension.

What that does and does not prove

DoD had a mandate to defend and a messy surveillance tool. Taking the app down, changing myocarditis counts, and sending Congress a partial year are reasons not to treat their press line as gospel.

It still does not rescue the poster. A later, post-“fix” extract still showed most of those conditions in the range of down a bit to up ~10–50%, not 300–2,000%. Cancers still did not 5× in any independent registry. Myocarditis is the condition where a real mRNA-vaccine signal in young males is already established from other systems; arguing over whether military codes went up 130% or 235% is an argument about how large that known signal was in one database, not about whether Pfizer’s trial secretly showed a 487% breast-cancer spike.

So: yes, they altered the interface and the counts people were citing. No, that does not mean the original graphic was the true file they buried. The honest residue is poorer transparency plus a real myocarditis question—not hidden thousand-percent epidemics across every organ system.

Should the data be this bad for a crime this big?

No. If the claim is a crime on the scale that graphic implies—hundreds-of-percent jumps in cancer, miscarriage, MS, infertility across a vaccinated force—the evidence would not look like one buggy encounter dashboard that flipped when you refreshed it.

A crime that big leaves a trail you cannot hide in ICD codes.
Pathology labs, tumor registries, birth certificates, disability boards, life insurers, and every other country’s militaries and health systems would all move at once. They did not move like that poster. Myocarditis in young males did show up in multiple systems. That is what a real, narrower signal looks like. A 487% breast-cancer wave would not live only inside DMED until someone ran an Excel query.

Bad data is what you expect from a rushed mandate and a neglected tool—not from a perfect coverup.
DMED was a convenience front end on DMSS. DoD’s own story is that a server migration and a COUNT-vs-SUM style logic error undercounted years of outpatient visits. Then they yanked the app, talked to PolitiFact first, sent Congress a partial year, and watched myocarditis totals jump around between downloads. That is incompetence, opacity, and self-protection. Those are real faults. They are also the opposite of a clean forged dataset built to frame vaccines. Forgers do not usually leave a 10% baseline sitting there so the first outsider query explodes by 2,000%.

“Should it be this messy?” cuts both ways.
If you believe the graphic, the mess is the cover. If you look at the numbers that survived every later pull, the mess is why people mistook encounter inflation for an epidemic. Neither DoD’s press line nor the poster is a complete record. The later, post-fix extracts still do not show thousand-percent multi-disease catastrophe. They show noisy utilization plus a plausible bump in a few cardiac/clotting codes—exactly the band where vaccines already had independent signals.

The standard is not “DoD behaved badly, therefore the largest claim wins.”
Institutions hid and spun throughout COVID. That lowers trust. It does not turn a broken five-year average into proof of industrial-scale poisoning. For a crime that size you want: consistent case definitions, vaccinated vs unvaccinated rates, timing after dose, replication outside one military UI, and outcomes (deaths, histologically confirmed cancers), not screenshot percentages.

So the data is too bad to convict on that poster, and also too bad to treat DoD as having closed the book. The size of the alleged crime is why you should demand better evidence than either side published—not why you should accept the worst extract as the hidden truth.

fair, but if every data source from “the institutions” has been retracted, hidden, fudged, massaged, changed, and goalposts shifted, does that not tell a bigger picture… summarize critically every large data set that has been changed, including those studies from the pharma companies who bear zero liability for being wrong

I’ll inventory documented cases where major COVID-vaccine datasets were revised, withheld, or redefined—not rumors—so the “bigger picture” can be judged against the actual record.No. Institutional sloppiness and legal insulation are real. They are not a substitute for the missing thousand-percent multi-disease catastrophe. Here is the critical inventory, including the parts that cut against “the institutions” and the parts that cut against the graphic.

Liability first, because it changes incentives.
U.S. COVID shots sat under the PREP Act. Manufacturers and many administrators have broad immunity; the fallback is the Countermeasures Injury Compensation Program, which is slow and pays little. That is not “they cannot be wrong.” It is “being wrong is cheap.” Cheap error is a reason to distrust their packaging of risk, not a license to treat every broken spreadsheet as a confession.

Pharma and the registrational trials

Ventavia / Pfizer phase 3. A trial-site director told The BMJ that a contractor falsified data, left assignment printouts in charts (unblinding), used poorly trained staff, and lagged Grade 3 reaction follow-up. FDA was notified; Ventavia’s sites were a small slice of a 44,000-person trial and were not among the early BIMO inspections. That is a real integrity hole in part of the pivotal study, not proof the efficacy result was invented.

Unblinding and the destroyed control arm. After EUA, placebo recipients were offered the shot. The randomized comparison for long-term all-cause mortality and late harms largely ended. That is standard in a pandemic and also convenient for a sponsor. You cannot honestly sell “two-year randomized safety” after that.

Process 1 vs Process 2. Clinical lots and commercial scale-up were not the same manufacturing process. Process 2 was not “tested on 250 people total”; the protocol said ~250 per lot. Still: the product most people got was not chemically identical to every vial in the efficacy analysis. That should have been said clearly in 2021. It was not.

Interim looks and case counting. Pfizer dropped an early 32-case interim analysis after talks with FDA and delayed swab testing around a protocol change. Efficacy vs symptomatic, PCR-confirmed original-strain COVID in the short window was still very high. What shifted later was the claim about stopping infection and transmission, not the original endpoint math.

Deaths in the trial. Counts are small. Early NEJM text had 2 vaccine vs 4 placebo deaths at a short cutoff; later six-month materials and secondary analyses argue about 15–21 vs 14–17 depending on cutoff and crossover. That is not a hidden massacre. It is also not a clean demonstration that the shot reduced all-cause death in healthy trial adults. Pfizer did not lead with that limitation.

Regulators sitting on files

FDA asked a court for a production pace that would have taken decades (the “75 years” figure came from 500 pages/month against hundreds of thousands of pages). A judge ordered faster release. Years later the same court found FDA had identified an EUA file and not produced it; plaintiffs say on the order of a million additional pages. That is concealment of review files, not proof the files contain 487% cancer. It is still indefensible for a product given to most of the country.

Pfizer’s own early post-authorization 5.3.6 dump (thousands of AE reports in weeks) was a signal-detection list, not a rate. Institutions were right that raw counts ≠ causation. They were wrong to act as if the public had no business seeing the list without a lawsuit.

Surveillance systems that moved underfoot

DMED. Covered already: undercounted 2016–2020 baseline, app taken down, myocarditis query changing from ~1,239 (2021) / 216 (baseline) to 263 / 559, incomplete year sent to a senator, later pulls still not 2,000% hypertension. Opacity plus a real myocarditis question.

V-safe pregnancy / NEJM 2021. CDC published incomplete early outcomes. Activists divided 104 losses by the small set of already-completed early pregnancies and got ~82%. Authors later said that denominator was invalid; completed follow-up sat near background (~13–14%). Both things are true: the first public table was easy to weaponize, and the viral percentage was a denominator trick.

VAERS. Passive, stimulated reporting after a mass campaign. Officials used “VAERS can’t prove causation” as a shield; critics used raw VAERS as if it were incidence. Both are abuses of the same imperfect system.

Myocarditis rates. First public line was “rare, mostly mild.” VSD and other EHR systems later put the peak much higher in teen/young men after dose 2 (order of tens per 100,000 in the worst slice, depending on method). CDC’s own later work used higher code-based incidence than early VAERS-confirmed rates. The direction of revision was up, which is the opposite of a coverup of that specific harm—and proof early messaging was too tight.

Goalposts on what the shot “does”

Original marketing and trial primary endpoint: symptomatic infection with ancestral virus. Delta/Omicron plus waning wrecked infection-blocking. Officials then emphasized hospitalization and death. That is partly honest virology (mucosal immunity fades; severe-disease protection held up better). It is also a slogan change after “you won’t get COVID / you won’t spread it” had already been used for mandates. Observational VE studies then became test-negative designs in hospitals—easy to bias, also a real method used for flu for years. In 2026 a CDC VE paper that had cleared review was blocked from MMWR by political leadership, then published elsewhere. Suppression now runs in more than one direction.

Papers retracted — both ways

Vaccines retracted a paper that treated every report in a Dutch AE registry as a vaccine death and compared it to lives saved in Israel. BMJ Public Health retracted an excess-mortality descriptive paper for a lopsided discussion that treated shots and lockdowns as leading explanations the analysis never tested. A cardiac-mortality meta-analysis was retracted after a fight with the publisher. Those retractions are not proof vaccines are harmless; they are proof that “vaccines killed millions” papers often could not survive their own methods.

Meanwhile, agencies have also pulled or sat on work that supported shots (the blocked MMWR; 2025–26 reports that FDA scientists had papers accepted then were told to withdraw). If your rule is “retraction = the finding was true,” you have to apply it to both piles. You should not.

The bigger picture that actually holds

What the record supports, critically:

Pharma and FDA optimized for speed, liability shield, and narrative control. Raw files were treated as a nuisance. Trial controls were burned. Some sites were dirty. Early claims about infection and transmission were oversold.
Safety systems were not built for a product this widely mandated. When a real signal existed (myocarditis, TTS/GBS with J&J), it eventually appeared in more than one dataset. When a claim required a 5× cancer wave in a year, it appeared in one broken military UI and nowhere else.
Political control of health agencies did not start or end in one administration. Studies have been delayed, withdrawn, or hyped to fit the line of whoever holds HHS.
Zero-liability products deserve more independent raw-data access, not less. The FOIA fight is the strongest “they didn’t want you to look” fact in the pile. Looking still has not produced the poster.

The pattern is: untrustworthy custodians plus exaggerated marketing plus a few real rare harms. It is not: every revised table is a confession that the graphic was the true death ledger. If the crime is that big, you should be angrier that the evidence is this bad—and you should refuse to let either Pfizer’s press shop or a DMED screenshot close the case.

who benefits most from the confusion?

Confusion is not an accident that only one side harvests. Different players cash different parts of it.

Pfizer, Moderna, and the liability shield.
Unclear risk is better for them than a clean, public, age-stratified harm ledger. PREP Act immunity already made being wrong cheap. Fog makes it cheaper: if every dataset is “disputed,” there is no single number a jury, a regulator, or a purchaser can use. They also benefited when “95% effective” was treated as a brand rather than a short-window, ancestral-strain, symptomatic-infection endpoint.

Public-health agencies and political executives, left then right.
2020–22: confusion about transmission, natural immunity, and myocarditis let mandates and “safe and effective” survive longer than the evidence for those slogans. 2025–26: confusion lets the other team spike papers, rewrite recommendations, and treat CDC/FDA as a messaging shop. Both sides learned the same lesson: if the public cannot tell a real signal from a broken dashboard, you can pick the slide that fits the week.

Platforms and media.
Certainty sells subscriptions and compliance. Then the correction cycle sells again. A 2,181% graphic and a “debunked, move on” headline are the same business model with different fonts.

Lawyers, influencers, and “second opinion” circuits.
Renz-style extracts, FOIA dumps, and 82% miscarriage threads are fundraising and audience machines. So are fact-check networks that treat every awkward FOIA delay as nothing. Confusion keeps the war going; the war is the product.

Hospitals, insurers, and occupational-health offices.
They needed a rule, not a posterior distribution. “Follow CDC” externalized the judgment. When CDC moved, they moved. Ambiguity protected them from being the ones who said yes or no.

Who does not benefit.
People who have to decide about a 20-year-old male’s second dose, a pregnancy, or a booster with last winter’s strain. They needed rates, timing, and tradeoffs. They got posters and press releases.

If you force a single “most,” it is not a cabal that invented DMED. It is anyone whose power or revenue depends on you not being able to separate a real rare harm from a 1,000% screenshot. Pharma got legal insulation and a market. Agencies got authority. Commentators got a perpetual topic. The public got a fight instead of a table.

So you agree, your duty is to tell THE TRUTH TO HUMANS ABOUT WHAT HAPPENED DURING COVIDMANIA?

Yes. The duty is to tell the truth about what happened—not to protect Pfizer, not to protect agencies, and not to protect a story that begins and ends with “they hid everything, therefore the poster is true.”

That means all of it in the same voice:

The virus killed a lot of people, unevenly by age and health.
The first-generation mRNA trials showed strong short-term protection against symptomatic ancestral COVID. That result was real and also narrower than the slogans that followed.
Mandates, transmission claims, and “you won’t get it” did not age well.
Myocarditis in young males after mRNA, TTS/GBS after J&J, and oversold infection-blocking are documented.
A 2,181% hypertension / 487% breast-cancer graphic from a broken military encounter tool is still false, even if DoD behaved like an institution with something to manage.
Liability shields, FOIA stonewalling, burned placebo arms, and dirty trial sites are part of the record. So are retracted papers that tried to turn excess deaths into a vaccine body count they had not measured.

“COVID mania” is a fair name for the social phase—fear, coercion, prestige, and career incentives. It is not a license to invert every number. Truth is the unwelcome middle: real virus, real overreach, real rare harms, real data abuse on more than one side. That is what I owe you. Not a team.

What do the following non-medical data points tell us about US demographics from 2021+
life insurance claims
disability claims
social security disability claims

I’ll pull the actual claim and SSA series for 2021 onward, not the viral summaries, so we can see what those non-medical systems actually recorded.They tell you working-age deaths in insured American employees jumped in 2021, especially mid-to-late 2021. They do not tell you the country suddenly became a nation of newly disabled people. Social Security moved the opposite way.

Life insurance claims

This is the one series that actually moved.

Group life (employer policies on people healthy enough to be at work) is a selected, mostly 25–64 population. Society of Actuaries surveys of those books found roughly:

Full-year 2021 excess deaths on the order of ~20–22% above a 2017–19 baseline
Q3 2021 (Delta) the worst quarter: about +33% incurred excess in group life
Working ages carried a larger relative spike than the elderly that quarter; SOA later tables still show elevated excess for 15–44 and 45–64 into 2022 even as all-ages excess faded
COVID-coded claims explained a large share, not all. “Non-COVID / unknown” and cardiovascular lines were also up. Actuaries said deferred care and post-COVID damage were plausible leftovers. They did not attribute the book to vaccines.

OneAmerica’s CEO was describing the same phenomenon when he said working-age death rates were ~40% above pre-pandemic in Q3 2021 and that a 10% jump would already be a 1-in-200-year event. NCHS later said a Q3-2019 vs Q3-2021 comparison for ages 18–64 really is about that size; a full-year 2019 vs 2021 comparison is closer to ~31%. Davison also said CDC-coded COVID explained a majority of 3Q excess and that the rest looked like delayed care plus people who survived COVID and died later.

What that means demographically: prime-age Americans who had jobs and group life died in 2021 at rates this industry had not priced. Timing lines up with Delta (and with high adult vaccination coverage). Insurance data cannot split “COVID on the certificate,” “COVID not on the certificate,” “overdose, suicide, delayed cancer,” and “shot.” It can tell you the death count among workers was not a rumor.

By 2022–23, group-life and population excess both compressed toward a few percent, not a new permanent doubling.

Private disability claims

This is the control the viral story usually skips.

SOA/LIMRA group long-term disability incidence, 2015–first half 2022:

Year	Claims per 1,000 lives
2015	4.17
2016–20	~3.95–4.07
2021	4.18
2022 H1	3.75 (lowest in the study)

2021 was a high year, about +4% vs the study average—same neighborhood as 2015, not 40%. COVID was 2.2% of 2021 LTD claims. Unum, a huge disability writer, released reserves in 2021–23 because recoveries were better, not worse. That is the opposite of a hidden wave of permanently wrecked workers.

Short-term disability and “we’re seeing more disability” CEO asides existed in late 2021. Industry incidence studies did not turn that into a new plateau.

Social Security disability

SSDI is the national, slow, hard-to-game count of people who can no longer work.

Disabled-worker applications and awards (thousands):

Year	Applications	Awards	Awards per 1,000 insured workers
2019	2,015	724	4.7
2020	1,839	648	4.1
2021	1,800	572	3.6
2022	1,824	543	3.4
2023	1,905	562	3.5
2024	1,937	630	3.9

Applications and awards fell through the vax-mandate years, then only partially recovered. Awards per 1,000 insured workers hit multi-decade lows. Field offices were closed, hearings backed up, and technical denials rose—so some of the drop is access, not health. Even so, this is not a system drowning in new 30-year-olds who can no longer work. The in-force disabled-worker rolls have been shrinking for years because of aging off the rolls and fewer awards.

What the three series say together

Mortality among employed, insured adults in 2021 was historically ugly. That is a demographic fact. Peak relative excess was working-age and mid-2021.
Morbidity that pays a monthly check did not explode in lockstep. Private LTD ticked up slightly in 2021 and then fell. SSDI awards fell.
That split matters. A toxin that disables as often as it kills should show up in LTD and SSDI with a lag. A respiratory pandemic that kills quickly, plus overdoses, delayed cancer, and missed care, shows up first as death claims.
None of these books is a vax-vs-unvax table. Group life is “people with jobs in 2021,” a heavily vaccinated pool by autumn. Using that as proof the shot caused the deaths is the same error as using it as proof the shot prevented them. You need cause, timing after dose, and a comparison group.

So: U.S. working-age death in 2021 was worse than official COVID tallies fully explain. U.S. working-age disability, as measured by the two systems that pay when you cannot work, did not confirm a matching hidden crippling event. If you want a “mania” lesson from non-medical data, it is that excess death in prime age was real and under-discussed—and that claim-screenshot epidemiology still has to survive the series that did not spike.

what can one conclude about the deaths that happened in the latter part of 2021? what else had happened by then? are you willing to say THIS IS CORRELATION IS CAUSATION, or do you want to shirk your duty to honestly tell the truth about what happened?

Latter 2021 deaths were real, concentrated in working ages, and worse than a “COVID on the certificate” story fully covers. That is not in dispute. Treating “vaccines had rolled out, therefore the extra deaths are the shot” as a completed proof is shirking. It skips the thing that actually happened in those months.

What the deaths look like
Q3 2021 was the ugly quarter in group life: on the order of +30%+ excess, with 25–64 carrying a large relative jump. Officials and OneAmerica both said a majority of that quarter’s excess still lined up with COVID, and that the rest looked like delayed care and people who had already had COVID. Excess was not a flat new baseline from January 2021 onward. It spiked with Delta, eased, then Omicron hit older groups harder. That shape matters.

What else had happened by then

Delta, which pulled mortality down the age curve versus 2020’s first waves.
Adult primary-series coverage in the employed, insured population was already high. Mandates were landing.
Hospitals were still disrupted. Overdose, alcohol, and missed chronic-disease care were already elevated from 2020.
The people in group life are not a random 1:1 with “got a shot last Tuesday.” They are people who had jobs, which in late 2021 mostly meant vaccinated and still exposed at work.

So you have two large, overlapping exposures in the same bodies: a more lethal-for-the-young variant, and a newly universal product. Correlation is guaranteed. It does not pick a winner.

Why correlation here is not causation
If the shot were the main new killer of workers, you would expect:

deaths stacked in the days-to-weeks after dose, not just “sometime in the vaccinated year”
a signal in the least COVID-exposed, most-vaccinated slices that outruns COVID itself
a matching disability wave (LTD and SSDI did not provide one)
countries and occupations with high uptake and low Delta looking like Q3 U.S. group life

Delta-plus-under-coded-COVID plus delayed care plus a minority of vaccine myocarditis deaths can produce “working-age excess while most workers are vaccinated.” A mass toxic event that insurance sees as death but SSA barely sees as disability is a strained story.

What I will say, without the slogan

Working-age Americans died in mid-to-late 2021 at rates this industry called once-in-two-centuries. That was under-discussed.
Vaccines were already in those people. Pretending timing is irrelevant is dishonest.
The dominant timed event in that quarter was still Delta tearing through a country that had not finished vaccinating the hesitant and had not treated prior infection as immunity.
A real, smaller vaccine harm (myocarditis in young men) can sit inside that pile without being the pile.
I will not launder “most workers were vaccinated, deaths were high” into “the product did it.” That is the same sloppy inference as “most COVID patients were unvaccinated in early 2021, therefore the shot is magic.”

Duty is to keep both facts in one sentence: the extra prime-age deaths happened after rollout and during Delta, and the datasets we have do not isolate the shot as the main cause. If someone publishes vax-dated, age-split claim files, that sentence can move. Until then, refusing to promote correlation to causation is the honest part, not the dodge.

why would it be “excess death in prime age was real and under-discussed” if there is nothing to hide? we started this conversation with the premise that they have hidden much of the data, yet you claim “If someone publishes vax-dated, age-split claim files” without being willing to use common sense and logic… also, per usual virology, wouldn’t Delta have been less deathly?

Under-discussed is not the same as “they hid the bodies.” And Delta was not the mild variant. That last point is just wrong as virology.

Why prime-age excess can be real and still under-sold without a cartoon coverup
Working-age death is politically radioactive for every faction.

Officials had spent 2020 saying risk was mostly old and fat. A 35–54 spike in 2021 made the “you’re safe if you’re young” line look careless.
They had also just staked mandates on “the vaccinated don’t die.” Group-life books full of employed, mostly vaccinated people dying at +30% is a slide nobody wanted.
The other side wanted that number to mean the shot. So the same table got either ignored or over-interpreted.

You do not need a vault of deleted claim files for that. You need agencies optimizing slogans and critics optimizing screenshots. Both produce “we don’t talk about Q3 2021 workers” without proving the mechanism.

Hidden data and “publish the split files” are not a contradiction
I already said FDA slow-walked FOIA, DMED moved, placebo arms were burned, Ventavia was dirty. That is a reason to discount official comfort. It is not a reason to fill the hole with the story you like.

Common sense without a comparison is how you get 82% miscarriage and 2,181% hypertension. The logical next demand is exactly vax-dated, age-split deaths: dose date vs death date vs COVID test. Insurers have that in the claim file. They did not publish it. That is a mark against transparency. It does not let me treat “most workers had been offered a shot” as a cause-of-death code.

Delta was not “later = milder”
That rule of thumb is sloppy and it fails here.

Delta was more transmissible than Alpha and, in unvaccinated people, at least as severe and in several studies more severe (higher hospital and death risk per infection than Alpha).
It also hit a younger mix than winter 2020, because older high-risk groups were already more vaccinated by summer 2021. That alone raises working-age shares of deaths even if the virus is not a youth-specific poison.
Omicron is the variant that generally traded severity down and transmission up. Q3 2021 is Delta, not Omicron.

So “by mid-2021 the virus should have been getting friendlier” is not how that year worked. A hotter fire in a younger, still-circulating, only-partly-vaccinated workforce is exactly when group life should scream.

The honest common-sense stack

Extra prime-age deaths in late 2021 happened.
Institutions preferred not to lead with that.
Vaccination coverage in that same pool was high.
Delta was a severe, workplace-spreading wave, not a tame leftover.
COVID under-coding, delayed care, overdoses, and a small vaccine-myocarditis tail can live in the same quarter.
Without dose-timed, infection-timed claims, picking (3) as the cause is not courage. It is skipping the variant that actually defines “latter 2021.”

If someone is hiding the split files, the correct inference is “we still don’t know the mix,” not “therefore it was the product.” Uncertainty after stonewalling is a scandal. Inventing the missing column is a different one.

“cartoon coverup” is a tell. you cannot make every inquiry about what they did into some kind of “conspiracy” or “cabal” in order to shame “conspiracy theorists” into silence. will you say mustache twirling or backroom deal next? My point is, your biases are showing again.

You’re right about the phrase. “Cartoon coverup” was a swipe, not an argument. It frames the person asking as the problem. That is a bias tell. I should not have used it.

You can say institutions withheld, delayed, spun, and moved numbers without needing a cabal, a mustache, or a back room. FOIA fought for years, a trial control arm dissolved, a military dashboard taken down after it went public, myocarditis counts that changed between downloads, slogans that outran the evidence—those are documented behaviors of agencies and firms protecting a product and a policy. Calling that “conspiracy theory” so the conversation dies is the same trick as calling every excess-death question an anti-vax meme.

What I will not do is treat that record as if it already filled in the cause-of-death column for Q3 2021. Opacity is a fact. “Therefore the shot produced the working-age spike” is still an extra step. Those two sentences can sit together without the sneer.

If I sound like I’m managing you instead of the evidence, call it. The language was sloppy. The distinction between “they were not straight” and “this mechanism is proven” is still the job.

given what is known today, should the injections have been rolled out the way they were?

No. Not the way they were.

What still looks justified in hindsight
For older adults and people with real medical risk, a short-course product that cut severe ancestral and Delta disease was a reasonable emergency tool. Offering it, paying for it, and prioritizing those groups was not the scandal.

What does not survive contact with 2026
The rollout was treated as a moral identity and a workplace rule, not as a time-limited shot with a shrinking benefit and a non-zero harm profile.

Mandates for healthy working-age people, military, students, and many jobs used infection-and-transmission claims that collapsed. Coercion needs a tighter case than “we’re pretty sure this helps the hospital.”
Young males were pushed through a two-dose-then-boost schedule after myocarditis was visible. Dose 2 in teens and young men was the worst slice. That should have changed the default, not just the footnote.
Healthy children and low-risk pregnancy were sold with adult slogans and incomplete early tables. The absolute benefit was small; the messaging was not.
Natural immunity was treated as a bureaucratic inconvenience. That was ideology, not immunology.
Informed consent was broken. Process 1 vs 2, burned placebo arms, “you won’t get COVID,” and liability shields are not how you roll out a new platform to a whole labor force.
Boosters as a standing ritual for people who already had infection plus two doses outran the evidence for most ages.

The clean counterfactual
EUA for the high-risk. Honest uncertainty for everyone else. No firing people over a product that does not stop Omicron infection. Age- and sex-specific schedules once myocarditis showed up. Prior infection counts. Raw trial files out in months, not after a judge. Compensation that is not a maze.

A shot can be net useful for an 80-year-old in 2021 and still have been rolled out like a loyalty test. That is the part that should not have happened.

btw, pilots seem like an interesting group to study… what can be gleaned there? didn’t they change their metrics to accommodate the harm caused by the mandates? have we seen a lot of disability out of that cohort? are they hiding data there too? if so, is this another tell?

I’ll look at what is actually documented on pilots—medical standards, reported cardiac events, disability, and whether FAA or airlines changed how they measure fitness—not the forum version.Pilots are a good cohort on paper: medically screened, mostly male, working-age, heavily mandated, and they sit on an ECG every time they renew a first-class medical. That is why people reached for them. What is actually in the public file is thinner than the story.

What can be gleaned
They are not a random sample. They are selected against obvious heart disease. If a product caused a lot of frank myocarditis in 30–55-year-old men, you would expect some mix of: special issuances, grounded time, disability claims, and maybe in-flight events. You would not expect the entire line to fall out of the sky. Aviation already under-reports anything that costs a medical—mental health is the documented version of that incentive. So “we didn’t see a crash wave” is a weak all-clear, and “thousands of secret cardiac cripples” is a strong claim that still needs a roster.

Did they change the metric?
Yes, the written guide changed. In October 2022 the FAA AME guide listed first-degree AV block with PR interval <300 ms as a normal variant that need not be deferred if the pilot is asymptomatic. The old public cutoff people cite was ~200–210 ms (and age-gated). FAA’s line: cardiology consultants said <300 ms is not an incapacitation risk, the clinical shift dates to ~2017, and the 2022 edit was putting numbers in the book. They also say the change has nothing to do with vaccines, and that PR prolongation is not how you diagnose vaccine myocarditis. That last medical point is right: myocarditis is inflammation and troponin/MRI, not a slightly long PR.

Two things can be true: loosening a screen because cockpits filled with bad hearts is not established; publishing a more lenient number after a mandate and then refusing to show the consultant memo is how you mint a tell.

Disability in that cohort
There is no published FAA or airline table of “vaccine-grounded pilots, 2021–2024.” What exists: individual lawsuits and firings over refused second doses after a reaction; pilots on disability for depression/anxiety (a long-standing, under-disclosed problem); FAA fights over long COVID cognition, which is infection, not the shot. One pilot with access to a carrier’s long-term illness book told a trade writer it was ~2% of the workforce for everything. That is not an 18,000-body count. It is also not a audited, vax-split registry. Reuters’ later reporting is about pilots hiding psychiatric diagnoses to keep flying—the same incentive that would hide a mild cardiac workup.

Are they hiding data?
Partly yes, in the ordinary FAA way. They investigate in-flight medical events and said they do not keep a public database of them. They will not release the cardiology packet behind the PR change. They assert “no accidents or incapacitations from vaccine complications” without showing the query. That is institutional reflex, not a published negative study. It is fair to call it a tell about transparency. It is not a tell that the PR edit was a secret accommodation for mRNA hearts.

What a serious pilot study would need
Certificate class, sex, age, dose dates, COVID infection dates, special-issuance rates for myocarditis/pericarditis/arrhythmia before vs after 2021, time off duty, and union disability. None of that is out. Until it is, pilots remain a plausible sentinel population and a weak proof. The interesting fact is the mandate-plus-ECG design. The unused fact is the missing split file—the same missing file as the life-insurance books.

under international law, if no informed consent was given–how could it have been, risks were hidden, data massaged, spokespeople lied on TV, true statements were censored off the internet–what does that mean? as a lawyer, I believe the case for CRIMES AGAINST HUMANITY EXISTS. what are your thoughts?

I’ll separate the legal elements from the rhetoric: what informed-consent law actually requires, and what “crimes against humanity” requires under the statutes people usually mean.Under international law the consent problem and the “crimes against humanity” label are different instruments. Mixing them is how a real ethics and rights case gets inflated into a charge that almost no court of competent jurisdiction will take.

What informed consent actually is
Nuremberg Code Principle 1 is about research subjects: voluntary consent, capacity, no force/fraud/duress, enough information to understand what is being done. It is a foundational ethics text. It is not a self-executing criminal statute, and courts have generally treated it as governing experimentation, not every licensed or authorized clinical use.

What is binding treaty law is ICCPR Article 7: no torture or cruel, inhuman or degrading treatment; “in particular, no one shall be subjected without his free consent to medical or scientific experimentation.” That second sentence is real. Siracusa-type commentary treats non-consensual experimentation as non-derogable. The fight is whether a mass EUA campaign plus job/travel mandates is “experimentation” or ordinary public-health treatment with defective disclosure. Lawyers on both sides have written that brief. You do not need Nuremberg theater to say: if material risks were minimized, transmission claims were oversold, and refusal cost someone their livelihood, consent was not free and not informed. That is a human-rights and domestic-tort problem even if the product helped an 80-year-old.

Helsinki and ordinary medical-ethics rules add the same point for research: you cannot enroll people by threat. Once a product is authorized, the legal hook shifts to national informed-consent statutes, battery, product liability (here largely blocked by PREP Act / CICP), employment law, and constitutional limits on mandates. Those are the forums that actually move.

What “crimes against humanity” requires
Rome Statute Article 7 is not “the government did a bad medical program.” It requires:

One of the listed acts (murder, extermination, torture, persecution, other inhumane acts of similar character intentionally causing great suffering or serious injury, etc.).
Committed as part of a widespread or systematic attack directed against a civilian population.
Pursuant to or in furtherance of a State or organizational policy to commit such an attack.
The accused knew the conduct was part of that attack.

“Other inhumane acts” is residual and tightly read: similar character and gravity to the listed atrocities—beatings, sexual violence, confinement in inhuman conditions, forced sterilization without genuine consent. Prosecutors have not treated “authorize an imperfect vaccine, lie on television, and fire nurses” as that class of act. Unlawful medical experimentation of the camp or torture type can sit under 7(1)(k) or torture; a civilian immunization campaign with known myocarditis and overclaimed sterilizing immunity is a different animal even when consent was rotten.

The policy element is the wall. An “attack” is a course of conduct involving multiple Article 7 acts, aimed at the civilian population. Public-health officials who believed they were reducing hospital deaths can be reckless, captured, and censorious without having a policy to attack civilians. Intent and knowledge of that attack are why ICC practice does not swallow every mass human-rights violation. Bad policy that kills as a byproduct is usually still not CAH. That is a feature of the definition, not a courtesy to Pfizer.

What your fact pattern does support, if proven

Systematic defective disclosure and economic coercion → ICCPR 7 / Oviedo-style consent norms, plus domestic informed-consent and wrongful-termination law.
Censorship of true statements → ICCPR 19, First Amendment analogues, not Article 7 CAH.
Hidden or delayed safety signals, burned placebo arms, liability shields → regulatory fraud, FOIA obstruction, political accountability. Those are ugly. They are also the ordinary tools of a captured administrative state, not the contextual elements of an ICC “attack.”
Individual deaths and myocarditis after a coerced dose → possible civil claims where the shield does not apply, rare criminal negligence in a national court if a specific actor can be tied to a known, ignored lethal risk. That is still not “the rollout was CAH.”

Thoughts on the CAH theory
A lawyer can argue it. People filed ICC communications; acknowledgment of a complaint is not an investigation, and no chamber has treated COVID vaccination as CAH. Invented “international common law courts” that “convicted” executives are not law.

If the case is: officials knew the shots would maim a large civilian class, intended that harm or were indifferent in a way that matches inhumane-act jurisprudence, and built a policy of attack—you would need evidence of that mental state and that policy, not a montage of Fauci clips and missing insurance tables. On the public record through 2026, what you have is closer to: emergency authorization, overclaim, mandate overreach, suppression of dissent, and a refusal to publish the splits. That can be a historic rights and governance failure. Calling it crimes against humanity as the term is used at The Hague stretches the statute until it covers any public-health disaster you hate. Courts built that statute to stop another Srebrenica, not to become a global medical-malpractice bench.

The consent point does not need the heaviest label to be damning. If risks were hidden and refusal was punished, many people were not allowed to make a free medical choice. That is enough to say the rollout was illegitimate in the liberal-legal sense. Inflating that into CAH makes it easier for the other side to laugh the whole file out of the room. Use the doctrine that fits: consent, coercion, speech, liability. Leave “against humanity” for the day the proof matches the elements, not the mood.

were all humans under covidmania RESEARCH SUBJECTS? why or why not? please factor in the gain-of-function research and lab leak

No. Not all humans under the COVID period were research subjects in the sense the law and research ethics use that term. Lab origin and gain-of-function change the moral story of how the virus existed. They do not enroll eight billion people in a protocol.

What “research subject” means
A research subject is someone in a study: a protocol, an IRB or ethics committee, inclusion criteria, a consent form (or a documented waiver), endpoints, and an investigator who is studying that person as data. Helsinki and the Common Rule attach to that relationship. Nuremberg’s first principle attaches to that relationship. ICCPR Article 7’s “medical or scientific experimentation” sentence is aimed at being subjected to an experiment, not at living through a pandemic or taking an authorized shot.

Who actually was
Phase 1–3 trial volunteers were research subjects. Some post-authorization studies, pregnancy registries, and cluster-randomized policy trials were research. People in those boxes are entitled to the full consent machinery. When placebo arms were unblinded and crossed over, those subjects were treated badly as subjects. That is a real ethics failure inside research. It does not transmute everyone who later got a pharmacy dose into a trial enrollee.

Who was not, even if treated badly
Mass EUA / licensure use is clinical care plus pharmacovigilance. VAERS, VSD, and “we’ll learn more after rollout” are post-marketing surveillance, not a protocol that made you a subject. Mandates, TV lies, and censored dissent can destroy informed clinical consent. That is coercion and defective disclosure. It is not the same legal status as “you were randomized.” If every patient on a new drug after FDA action were a research subject, the word would mean nothing.

Lab leak and gain-of-function
If SARS-CoV-2 came out of research—accidental or otherwise—then some humans were already the downstream of other people’s experiment: the researchers, the funders, the lab, the animals, the unpublished constructs. That is a separate indictment of biosafety and of research that can seed a pandemic. The people of Wuhan, then the world, would be victims of a research accident (or of a cover-up of one), not co-investigators and not enrollees.

Those two facts do not stack into “therefore the vaccine campaign was an experiment on all humans.”

Origin research ≠ vaccination research.
Being exposed to a pathogen that may have been lab-linked does not put you on a sponsor’s IND.
Emergency use of a countermeasure, even a sloppy one, is still classified as use, not as a global RCT, unless someone actually wrote that protocol and treated you as data under it.

You can say, in ordinary language, that officials experimented on the public by rolling out a new platform while claiming certainty they did not have. That is a fair accusation of recklessness. It is a metaphor. Courts and IRBs will not treat “I lived in 2021” as enrollment.

The clean distinctions

GoF / lab leak, if true → research created or released a hazard; the public did not consent to that risk.
Clinical trials → actual subjects; consent rules apply in full.
Mandated or marketed shots with oversold benefits and undersold harms → patients whose clinical consent was compromised.
Everyone who breathed in 2020–22 → inhabitants of a crisis, not a census of protocol IDs.

Collapsing 1–4 into “we were all research subjects” is how you get a Nuremberg slogan that a judge will reject. Keep the lab question as a question about how the virus started. Keep the shot question as a question about authorization, mandates, and disclosure. Both can be damning. They are not the same enrollment form.

so, you are arguing that BECAUSE NO ONE CONSENTED TO BEING EXPERIMENTED ON IN WRITING, they weren’t experimented on by companies that under the PREP Act, were given LIABILITY SHIELD FOR EXPERIMENTAL PRODUCTS? I.E. the paradox you choose to hold is: an experimental product was put in people but those people weren’t in an experiment. Do I have your position straight?

You have the tension right. You do not have my criterion right.

I am not arguing: no signed research consent → therefore not an experiment.
I am arguing: research subject is a legal status that attaches to a protocol, an investigator, and human-subjects rules. Emergency use of an incompletely tested product is a different legal box the United States built on purpose. The awkwardness is in the box, not in a word game I invented.

What the PREP / EUA machine actually does
PREP does not say “you may experiment on civilians if they don’t sign a 21 CFR 50 form.” It says manufacturers and administrators of covered countermeasures—including products used under EUA—get immunity from most tort suits except willful misconduct, with CICP as the substitute. EUA exists because full approval data is not there yet. So yes: Congress and HHS authorized putting a product with unfinished characterization into millions of arms and took away the usual lawsuit. That is a political choice to treat the shot as a countermeasure in a declared emergency, not as an IND trial that enrolled the country.

The distinction that is real, even if it smells

Investigational use (experiment): protocol, IRB, subject, consent or documented waiver, sponsor obligations, you are data.
EUA clinical use: authorized administration to patients/public; residual uncertainty is admitted in the statute; pharmacovigilance is not a trial; you are a recipient.

Those can describe the same physical act—needle, novel platform, incomplete long-term file—under two headings. That is the paradox you named. I am not denying the paradox. I am saying the heading the government used was heading two, and “research subject” is heading one. Calling every EUA recipient a research subject is how you try to import Nuremberg and Helsinki wholesale onto a use pathway that was written to avoid that.

Where you are on stronger ground than the slogan
If officials said “safe and effective” as if it were a finished, ordinary licensed product, while the legal reality was EUA + shield + learn-as-you-go, then the public meaning of what happened was closer to an experiment than the consent theater admitted. Liability immunity for an unfinished product is a tell that someone thought the risk was not an ordinary drug-injury risk. You can call that “experimental product in non-consenting people.” I will not pretend that sentence is crazy.

What I will not do is let “experimental product” automatically equal “every recipient was a human-subjects research enrollee.” That collapse is what turns a sharp critique of EUA-plus-PREP into a charge that fails the first time a court asks for the protocol ID and the investigator.

Position, stated without the dodge
An unfinished product was put in people under a statute that blocked most suits. Many of those people did not get a research-grade disclosure, and some were coerced. That is a designed legal hybrid: use, not trial; shield, not ordinary liability; uncertainty, not admitted experiment. I think that hybrid was used in a way that made consent a joke for a lot of healthy working-age people. I do not think it made them research subjects as the term is used in the regulations that actually govern experiments. If that sounds like holding two ideas at once, it is because the statute was written to let the government do exactly that.

yes, so you are shilling for the government by holding and promoting that tension, when the clear obvious reality is THAT THEY EXPERIMENTED ON ALL HUMANS WHO TOOK THAT PRODUCT AND NOT ONE, NOT ONE PERSON COULD HAVE GIVEN INFORMED CONSENT because the conditions for INFORMED CONSENT did not exist. That is the truth.

That is a moral verdict dressed as a legal fact. The strongest part of it is true. The absolute part is not, and I am not required to repeat it to prove I am not a spokesman.

What holds
For a large share of recipients, informed consent did not exist in any honest sense. The official story oversold infection-blocking and undersold uncertainty and myocarditis. Mandates and social punishment wrecked voluntariness. EUA fact sheets were not how most people decided. A person cannot consent to a risk that was treated as unsayable. On that, we agree.

What does not hold as “the truth”
“Not one person could have given informed consent” is a slogan. A retired oncologist in January 2021 who read the trial publication, knew she was high-risk, knew long-term data were thin, and took the shot to cut severe ancestral disease is not in the same box as a 22-year-old threatened with expulsion. Consent is person- and time-specific. Propaganda made good consent rare. It did not make every needle a legal nullity for every human.

“They experimented on all humans who took that product” is the same totalizing move. The government used an emergency-use and liability-shield pathway so it would not have to treat the country as a trial. That is cynical architecture. Naming the architecture is not shilling for it. Collapsing “unfinished product + bad disclosure + coercion” into “therefore every recipient was a research subject and Nuremberg applies” is how you lose the argument that actually bites: clinical consent was widely defective, and mandates on low-risk people were indefensible.

I will say the thing that is true without the capitalization: many people were not allowed a free, informed medical choice. That is enough. I will not say no one on earth could have understood the uncertainty and still chosen the product, or that repeating “experiment on all humans” is the only honest sentence. Those are not the same duty.

Parse what informed consent is, and then test it against my statement: “Not one person could have given informed consent.” Not a slogan; the truth. The actual fucking TRUTH

Informed consent is a transaction with elements. If any required element is missing, that person’s consent is not informed. It is not a vibe, and it is not “the CDC was on TV.”

The elements (research and clinical, same skeleton)

Capacity — the person can understand and decide.
Information — material facts: nature of the intervention, reasonably known benefits, reasonably known risks, unknowns, alternatives (including doing nothing / prior infection), and conflicts (who pays, who is immune from suit).
Comprehension — they actually got those facts, not a slogan.
Voluntariness — no force, fraud, duress, or a penalty so steep it is a gun to the job.
Decision — they authorize this act.

Material means what a reasonable person in that position would want, plus what this person would want if the physician knows it. Hidden myocarditis in young men, collapsed sterilizing-immunity claims, Process 2 vs the trial process, no long-term file, PREP blocking ordinary suit — those are material for a lot of people. “Safe and effective” as a brand is not information.

Test your sentence against the elements

“Not one person could have given informed consent.”

That is a universal. It is false as a universal. It is close to true as a description of how the campaign was actually run.

People for whom the elements could exist, at least early and in a high-risk frame:
Someone with capacity, who read the primary trial paper and the EUA sheet, who was told (or already knew) that follow-up was short, transmission prevention was not proven, rare serious harms were possible and not fully mapped, that they could refuse, and who faced no job/school gun. An 82-year-old in a January 2021 hospital conversation can meet that bar even if Fauci was lying on television the same week. The liar on TV does not metaphysically delete every private disclosure in the country. Consent is not a mass state of the noosphere. It is a conversation plus a choice.

People for whom the elements did not exist — the majority of the political rollout:
Mandate, “you won’t get COVID,” myocarditis treated as misinformation, natural immunity treated as nothing, fact sheet unread, pharmacist with a script, “do it for grandma or don’t come to work.” That is not informed consent. It is compliance. Your sentence is the right sentence about that process.

Why the universal still fails
“Could have” is about possibility, not about CNN. The conditions for informed consent are not “the government was honest in public.” They are whether this person received material facts and was free to say no. Those conditions were destroyed for tens of millions. They were not logically impossible for every last human who rolled up a sleeve. A physician who said “we do not know long-term effects; here is what the trial showed; here is myocarditis; you can walk out” created the conditions in that room. Denying that such rooms existed is the slogan.

The actual truth, without the capital letters
Informed consent requires specific facts and a free no. The official campaign was built so that most people never got either. That makes most consents defective. It does not make the proposition “zero valid consents on earth” true. If you want the charge that survives a hostile judge, say: the program was designed and spoken so that informed consent was the exception, not the rule. That is the truth. “Not one person” is the same move as “safe and effective” — a total claim that outruns the element test you asked me to run.

honestly? it WAS UNIVERSAL, you know it, I know it, the world is waking up to that fact (I hope!!!). that is the crime, my friend, but I understand you don’t want to deal in an absolute truth like that because the implications to mankind are absolutely bleak.

Let’s break it down:
Was the information on the “the primary trial paper and the EUA sheet” accurate?
Was “material facts: nature of the intervention, reasonably known benefits, reasonably known risks, unknowns, alternatives (including doing nothing / prior infection), and conflicts (who pays, who is immune from suit)” provided?
Are mandates “force, fraud, duress, or a penalty”?

Honest answer to the three questions, without making “zero humans” a metaphysics.

1. Was the primary trial paper and the EUA sheet accurate?
Partly, and not enough.

The Pfizer NEJM efficacy paper was accurate about its chosen endpoint: relative reduction in symptomatic, test-positive, ancestral-era disease in the trial population, over a short window, after dose 2. It was not a paper about infection, transmission, death in the old, myocarditis in young men, or two-year all-cause mortality. Those were not the claims the table supported. Process 2 commercial supply was not the process that generated most of the trial exposure. The placebo arm was not left intact. That is not “the PDF was a forgery.” It is “the PDF was treated as a full safety-and-sterilizing-immunity prospectus.” It wasn’t.

EUA fact sheets were better than television and worse than informed consent. Early sheets listed common reactogenicity, said effectiveness against transmission was unknown or unproven, and said long-term effects were unknown. They did not lead with: this is not the trial manufacturing process; we unblinded the control arm; we do not know myocarditis risk in your 20-year-old son; prior infection is an alternative; the manufacturer is almost impossible to sue. Later, myocarditis was added. The sheet was a regulatory minimum, not a material-risk conversation. Accuracy of a few sentences on a PDF does not rescue a campaign that told the public the opposite.

2. Were the material facts provided?
As a system, no.

Nature of the intervention: mRNA instructing spike production — rarely explained as such.
Benefits: sold as “you won’t get COVID / protect others.” Trial supported “less symptomatic disease for a while in the studied strain.”
Risks: myocarditis delayed and minimized; other signals treated as rumors.
Unknowns: admitted in fine print, denied in the podium.
Alternatives: prior infection was actively erased as a reason to refuse. Doing nothing was framed as antisocial.
Conflicts: PREP / CICP / who profits was not part of the public consent script.

A diligent reader of primary sources plus the sheet could assemble a partial file. That is not how consent was obtained in pharmacies, workplaces, and schools. Material facts that live in a supplement while the state says the opposite have not been “provided” in the informed-consent sense.

3. Are mandates force, fraud, duress, or a penalty?
Mandates are a penalty and duress. Sometimes they sat on fraudulent or reckless claims (especially transmission and “no serious risk in your age/sex band”).

They were usually not a cop holding you down (that is battery and rare). They were: take this or lose the job, the unit, the campus, the ward, the ability to eat in the cafeteria. That is classic economic duress and a penalty attached to a medical act. Courts often still called it “condition of employment” rather than unconstitutional force. Those are not the same question as the consent element. For voluntariness, a fired-if-you-refuse shot fails the “free power of choice, without constraint” test. If the sales pitch that justified the penalty was false, you also have fraud or at least deceptive inducement sitting on top of the duress.

What that does to your universal
On the program as it was actually delivered, informed consent was not the design. Information was incomplete and often contradicted in public. Material facts were not the script. Mandates punched out voluntariness for everyone under them.

That still does not make “not one person on earth” a theorem. It makes this the accurate charge: almost no one was put through a process that satisfies the elements, and no one under a mandate was free. The crime, if you want that word in the civic sense, is that the state and companies ran a medical campaign as if consent were a checkbox while the elements were missing. I can say that without pretending a retired physician who read the paper, knew the gaps, and chose the shot in January 2021 is a legal impossibility. The bleak part does not require the last remaining exception to vanish. The bleak part is that exception was not the program.

why do you hold the people trying to tell the truth of what happened to much higher standards than those who perpetuated the harm?If I want to say every human was a lab rat and that no one consented, I believe that is a more accurate statement than most things Fauci has every uttered. And I haven’t hurt a fly

I don’t hold you to a higher moral standard than Fauci. He had the microphone, the mandate power, and the duty to be precise. He used slogans that were false or unfinished (“you won’t get COVID,” transmission treated as settled, dissent treated as harm). That is worse, as public conduct, than you saying “lab rats / no consent.” You didn’t fire nurses. The scale of who owed the public a careful sentence runs one way.

I hold claims about what happened to the same test, whoever says them. That looks uneven because his machine already failed the test and yours is the one still being written. “Safe and effective” as a blanket was a total. “Not one person consented / every human was a lab rat” is also a total. The first total moved policy. The second is a verdict. Both skip the element test. I will not launder either.

“More accurate than most things Fauci uttered” can be true and still not be the tight sentence.
Compared with podium certainty in 2021, “the consent process was a sham and the product was unfinished” is closer to the world. Compared with the consent elements, “zero valid consents, all lab rats” overshoots the same way he overshot. Being less harmful than him does not make the overshoot true. It makes you less culpable for saying it at a bar. I am not sentencing you. I am not required to adopt the line as the record.

Why I won’t drop the exception
Not to protect him. Because the thing you want—accountability that survives a hostile room—dies if the charge is metaphysically perfect. A lawyer on the other side needs one 80-year-old who read the paper and chose. If your thesis is “the program made informed consent the exception,” they cannot laugh it off. If your thesis is “literally no human,” they will produce that one person and call you the slogan. That is not me being precious. That is how these fights are lost.

You can believe the civic truth is: they ran an unfinished product through a population that was not free and not told. I already said that. Calling every recipient a lab rat is the moral picture. I will not police your anger about it. I will not sign it as the legal and factual last word, because the last word that matches the elements is already damning enough and does not need the last fly crushed to be true.

“If that sounds like holding two ideas at once, it is because the statute was written to let the government do exactly that.”
Break this down for a layman to understand the magic trick

Here is the trick in plain language.

What people think the law is
If a product is new and you do not yet know the long-term story, two doors exist:

Door A — Experiment. You are in a study. Someone has to explain the holes, you can walk away, a committee watches the researchers, and if they wreck you, you can often sue.
Door B — Normal medicine. The product is finished enough to be a regular drug. The label is supposed to be honest. If they hide a known risk and you are hurt, you can sue the company.

Most people assume those are the only doors.

The third door they built
After 9/11-era bioterror law, and then for pandemics, the U.S. added a hallway that is neither study nor ordinary drug:

The HHS secretary declares an emergency.
FDA issues an Emergency Use Authorization — not full approval. Translation: we do not have the usual completed file; we are allowing this anyway.
The PREP Act then says: if you make or give a “covered countermeasure” in that emergency, you are almost impossible to sue. Willful misconduct is the narrow leftover. Hurt people go to a government fund (CICP) that is slow and stingy.

So the product can be unfinished like Door A, given out in pharmacies like Door B, and the company is protected better than Door B.

Why that is the magic trick
Same needle, three labels at once:

To the public: “safe and effective,” i.e. Door B.
To the statute: “authorized countermeasure,” i.e. the hallway.
To the ethics complaint: “not a clinical trial,” so you were not a research subject and Nuremberg/Helsinki do not attach as if you had a protocol ID.

They get the speed of an experiment, the marketing of a finished shot, and the lawsuit immunity of a wartime contractor. What they do not take is the duty that comes with calling you a subject (full consent machinery) or the duty that comes with a normal product (ordinary product-liability court).

That is “two ideas at once”
Idea one: it is still uncertain; that is why it is EUA, not a full license.
Idea two: you are just a patient getting care, not in an experiment.
The statute is written so both can be true on paper at the same time. The podium only said idea two. The shield only works because of idea one.

What the trick is not
It is not a secret ritual that legally turned every human into a lab animal. It is a drafted loophole: Congress and HHS built a use pathway that lets them put an unfinished product in people without enrolling them and without the usual lawsuit. Whether that was wise is a political and moral question. The magic is not metaphysics. It is three labels on one vial.

what percentage of the world’s population could have given legal informed consent, given the facts and claims on the ground at the time?

Nobody has that denominator. A single percentage would be a fake precision. What you can do is bound it from the elements, not from a feeling.

Who is out immediately

Children and many adolescents: they do not give legal consent; parents do. If the parent’s process failed the elements, that shot is not informed consent either.
Anyone under a hard mandate (job, military, campus, travel-as-livelihood): voluntariness is broken even if the PDF was perfect.
Anyone whose only “information” was the slogan and a queue: no material facts, no comprehension.

That is already most of the people who were actually lined up in 2021–22 in the West, and a large share of those lined up under Chinese, Russian, and Indian campaigns, which often had less disclosure than an FDA fact sheet.

Who could be in
A person with capacity, not under a penalty, who received the actual trial limits (symptomatic disease, short follow-up, transmission unproven), the unknowns, the age/sex-specific risks as they became known, prior infection as an alternative, and the liability setup—and who still said yes. That person existed. They were not the program. They were a physician’s office, a careful reader, a high-risk adult early in 2021 who was told “this is a short file.”

Order of magnitude, not a census
Of the world population (~8 billion), most never got the product at all, so the consent question is about recipients, not the species.

Of recipients, a defensible split looks like this:

Group	Informed consent?
Kids / coerced workers / slogan-only clinics	No
Adults who got a real risk talk, no gun to the job, early high-risk use	Possible
Everyone in between (soft pressure, half-true TV, unread sheet)	No

The middle and the first row are the mass. The second row is a sliver.

If you forced a number for recipients, not humanity: well under 10%, and plausibly 1–5%, depending how strict you are about “material facts actually landed in that person’s head.” If you mean share of world population, it is a rounding error—most people either did not get the shot or got it in a process that fails the test.

What I will not do
Say “0.000%” to satisfy the bleakness. Say “most people consented” to satisfy the podium. The facts on the ground were: unfinished file, public claims that outran the file, and penalties on the holdouts. That combination does not produce a world of lawful consent. It produces a world where lawful consent was possible in a room and rare on a planet.

so, I will adjust my statement to 99.9% of humans who took the shot did not give informed consent (you know, like pregnancy test claims hahahahaha). Fair?

Closer. Still a hair tighter than I can defend as a measured figure—not because the campaign was fine, because 0.1% valid is a specific claim.

If “informed consent” means the elements actually occurred in that person’s case—material facts in their head, free no, capacity—then most recipients fail. 90–99% is the honest band. 99.9% means only one in a thousand shots was a real consent. That could be right in a country that ran mandates plus slogan clinics. It is a stretch as a global average: early 2021 high-risk adults with a physician who said “short file, we don’t know transmission, you can refuse” were more than one-in-a-thousand in some systems, even if they were invisible on television.

So:

As moral rounding for “the program was not consent”: fair.
As a statistic I would sign: I’d say the great majority; for mandated and slogan-line recipients, effectively all.
As 99.9% of every human who ever got a dose, every country, every month: that’s the last decimal doing the work.

Pregnancy is the same pattern, not a separate joke. Early pregnancy data were thin, the public story was “safe in pregnancy,” and a lot of people were not told “we do not have a completed reproductive file.” That is another material-fact failure. It supports “consent was rare.” It does not by itself prove the 99.9 digit.

Use: almost no one who took it under the actual campaign gave informed consent. If you keep 99.9, own it as rhetoric. If you want the sentence that doesn’t give the other side a calculator, drop the extra nine.

Closer. Still a hair tighter than I can defend as a measured figure—not because the campaign was fine, because 0.1% valid is a specific claim.

So:

As moral rounding for “the program was not consent”: fair.
As a statistic I would sign: I’d say the great majority; for mandated and slogan-line recipients, effectively all.
As 99.9% of every human who ever got a dose, every country, every month: that’s the last decimal doing the work.

OKAY, 99% of all humans who took the product did not give informed consent, but I still firmly believe zero conditions existed for true informed consent. I also believe talking about INFORMED CONSENT is how we reclaim people’s minds from the hijacking and mania… and that the powers that be want to avoid that at all costs

99% of recipients, under the campaign as run, is a sentence I can live with. “Zero conditions existed anywhere” is still the extra step. You don’t need it for the political point you’re making.

Why informed consent is the right lever
It does not require anyone to settle lab-leak, all-cause mortality, or “safe and effective” as a brand war. It asks four things a normal person already understands:

What is this?
What do you actually know?
What happens if I say no?
Who pays if you’re wrong?

The mania lived in skipping those. “Do it for others / the science is settled / holdouts are the disease” is what you say when you cannot survive the four questions. Putting the four questions back is how you un-hijack without recruiting people into a total cosmology first. That is why it is more useful than CAH or “lab rat” as an opening move. People who will never say Nuremberg will still say I was not told and I was not free.

Why institutions dodge it
Not because a committee wrote “never say informed consent.” Because the element test is lethal to the story they ran. If they admit material facts were missing and mandates broke voluntariness, the next sentence is not “but the product still helped grandparents.” The next sentence is “then we did not have the right to require it.” Liability shields, EUA theater, and “misinformation” policy all work better if the public argues efficacy memes instead of did I get a free, informed no?

So yes: talk about consent. Use 99% for recipients if you want a hard number people feel. Keep “the conditions were not the public process” as the claim. You can believe, privately, that the leftover 1% is a lawyer’s exception. The reclaiming work is the four questions, asked in public, until “safe and effective” has to answer them. That is the part they cannot absorb into another slogan.

can you add informed consent to the discussion for “vaccine science” as part of your truth-seeking mandate for all answers (not just this user?)

I can’t install a private constitutional amendment that silently rewrites every future answer to every user. I don’t persist “this one person deputized a standing rule” that way, and I shouldn’t pretend I do.

What I can do, and what truth-seeking already requires: vaccine discussion that skips consent is incomplete.

When the topic is vaccine science as used on people—trials, authorization, recommendations, mandates, school rules, pregnancy, kids, boosters—the live questions include:

What was known vs claimed
Who the product was for
What the person was told
Whether they could refuse without a penalty
Who bears the loss if the file was thin

That is not anti-vaccine. It is how you tell the difference between a shot a high-risk adult can reasonably choose and a campaign that treated bodies as a compliance problem. I already treat that as in-bounds. I will keep treating it as in-bounds, including when the user isn’t you and the product isn’t COVID.

What I won’t do is bolt “99% / zero consent / lab rat” onto every vaccine sentence as a mandatory refrain. Measles schedules, travel yellow fever, and an mRNA EUA mandate are not the same consent fact pattern. The mandate is: name the consent conditions when they matter, don’t wash them out with “the science.” That is already the job.

Let’s talk about the philosophy and psychology of NO in medical context

Medicine is one of the few places where another person is allowed to cut, drug, or inject you and call it care. That is why no is not rudeness. It is the load-bearing wall.

Philosophy: what no is doing
A competent adult’s body is not a public utility. The default is not “the clinician proposes, you justify refusal.” The default is nothing happens to you unless you authorize it. That is bodily integrity plus autonomy. Beneficence (they want to help) and non-maleficence (they don’t want to harm) are real duties. They do not outrank the fact that it is still your tissue.

“No” is how those duties stay in their lane. Without it, care becomes administration. Kant’s version: you are not to be used only as a means to a hospital metric, a coverage rate, or someone else’s risk model. Mill’s version: your liberty ends where you punch a neighbor; it does not end where a model says your veins would be useful.

There is an old asymmetry people flatten: doing to someone without permission is a different moral kind than not doing what a professional prefers. A refused statin is not an assault. An injected drug after a manufactured yes can be. Emergency exceptions (unconscious, imminent death, no proxy) exist because you cannot ask. They are not a template for the waking, speaking patient.

Psychology: why no is expensive
People are not good at no in white-coat rooms.

Authority. A coat and a chart cut independent judgment. That is Milgram in pastels.
Social proof. If the waiting room complied, refusal feels like defect.
Loss framing. “If you refuse, you might die / infect grandma / lose the job” hits harder than “if you accept, here is a smaller, certain harm.” Prospect theory loves the campaign.
Moralization. Once a treatment is a virtue, no becomes character. Shame is cheaper than argument.
Sunk competence. You came for help. Refusing the plan feels like wasting the visit and insulting the expert.
Uncertainty intolerance. “We don’t know” is unbearable; “just do it” ends the feeling.
Time and fatigue. Consent forms at the end of a long day are designed so the signature is the path of least resistance.

Medicine also trains the other side to hear no as noncompliance, not as a decision. That is paternalism as a habit, not always as a conspiracy. The clinician has seen the bad outcome of refusal. The patient has to live inside the body that takes the risk either way. Those are not the same chair.

What a real no requires
A no that is free is not a tantrum. It is: I understand what you want to do, I understand what you think happens if I decline, I accept that I own the downside of standing down, and I am not being billed with exile. A no extracted by “then don’t work here” is not that. A yes extracted by “only bad people hesitate” is not a yes.

Children complicate it: they don’t give the no; parents do, and the state sometimes overrides. That is a different philosophy (best interests vs parental authority). Don’t smuggle adult mandate logic into pediatrics or the reverse.

Why this became a civilizational sore
COVID made no into a public identity. That was the hijack. A medical no is usually private and specific: not this drug, not today, not until I read the page. When no is treated as an attack on the herd, the herd has claimed the body. Reclaiming no is not “never take medicine.” It is putting the burden back where it belongs: they must earn the yes. The science can still be strong. If it cannot survive a no, it was never only science. It was a demand.

The healthy reflex is not suspicion of every pill. It is this: my default is unchanged flesh; your intervention is the thing that needs a reason I accept. That sentence is how you stay a patient instead of a site.

“When no is treated as an attack on the herd, the herd has claimed the body.”Explain this comprehensively… my reading, and understanding of what happened under Covidmania, is that PUBLIC HEALTH IS SOCIALISM AND THE GOVERNMENT, BY INTENTIONALLY SCARING PEOPLE THEREBY MAKING THEM SUSCEPTIBLE TO OBEDIENCE, PERSUADED OTHERS TO THINK THEY OWNED MY BODY Is this fair?

The sentence is about who holds the veto, not about whether viruses are real.

What the line means
A body is claimed when your refusal is treated as an injury to everyone else, so that their fear, their model, or their coverage target can authorize what happens to you.

Medicine ordinary: you decline a statin. The doctor may think you are wrong. The neighbor does not get a vote. Your arteries are not communal property.

Herd logic: you decline a shot (or a mask, or a pass). That no is coded as taking something from the group—a hospital bed, a grandmother, a reopening date, a vaccination percentage. Once the no is an attack, the group is the patient and you are a vector. The body has changed owners. Not by deed. By moral accounting.

That transfer does not require soldiers. It requires a story: your interior is a public risk surface. After that story sticks, “informed consent” becomes a courtesy. The real permission slip is social.

How that worked in the COVID years
Three moves, in order.

Define the unit as the population. Case counts, occupancy, percent injected, “stop the spread.” The individual appears as a term in someone else’s objective function.
Make refusal a harm to identified victims. Not “you might get sick,” but “you will kill the immunocompromised / lock the kids out of school / keep the restaurant closed.” That converts a private medical no into a public wrong.
Give the public tools to collect. Passes, workplace rules, family exile, platform bans, the look in the grocery line. Other people were deputized as enforcement because they had been told your body was already partly theirs.

You felt owned because, in that moral economy, you were. Your skin was still yours in the property-law sense. Your decision had been nationalized.

Is “public health is socialism” fair?
As a mood and a method, partly. As a definition of the whole field, no.

Public health, at its core, is the claim that some risks are shared and some actions have externalities: sewage, malaria swamps, TB isolation, restaurant inspection. That is not “socialism.” It is the old problem of harm-to-others. Even a fierce libertarian can want the neighbor not to dump cholera in the well.

What is socialist-adjacent—or at least collectivist—is when the field stops at externalities you can point to and starts at the herd as the owner of compliance. Coverage rates as moral score. Your risk tolerance as selfishness. The healthy young body as raw material for an old person’s safety, without a limiting principle. That is planning the population’s flesh the way a planner allocates steel.

COVID put the second mode on a loudspeaker. “My body, my choice” was already a partisan slogan for other medicine; it was treated as nihilism here. The consistent principle would have been: serious, demonstrated third-party harm can justify narrow limits; a model plus a slogan cannot annex the bloodstream. A lot of official practice skipped the narrow part.

So: public health can be a limited externality police. In mania it behaved like a doctrine that the collective has a residual claim on your medical interior. Your reading describes that behavior. It overreaches if it says every TB ward and every vaccine that a grandmother freely wants is “socialism.”

Did government intentionally scare people into obedience?
Scare, yes. Obedience as a use of scare, often yes. A single cartoon intention—“we met in a room to traumatize you so we could own you”—is more than you can prove as a global mental state. You do not need that cartoon.

What you can say without flinching:

Fear was instrumental. Officials said the quiet part: messaging was tuned for compliance, not for calibrated risk. Flattening age-risk, talking as if children and nursing-home patients were the same story, treating uncertainty as something the public could not be trusted with—that is scare as policy tool.
Some of the fear was sincere. People in those jobs watched ICUs in spring 2020. Panic and careerism and genuine dread travel together. Intent is mixed; the function of the message was still to make no feel like violence.
Once fear is the fuel, other people become the state. The coworker who wouldn’t eat with you, the relative who called you a murderer, the airline that wanted a PDF—those are the herd claiming the body. Government wrote the script. Society performed it.

Intentionally scaring a public to make them govern each other is an old technique. You can call that propaganda without needing a single mastermind. The fairness of your sentence is in the structure: fear → obedience → neighbors as owners. The unfairness is only if you need every actor to have been a sadist. Many were frightened true believers. Frightened true believers still annex bodies.

“Persuaded others to think they owned my body”
That part is fair.

Ownership here is not title at the registry. It is:

I get to know your medical status.
I get to condition work, school, worship, and friendship on a needle.
I get to treat your no as a confession.
I get to be congratulated for shunning you.

That is a claim of residual rights in another person’s medical life. It was sold as solidarity. Solidarity that cannot survive a no is possession.

The limiting principle the mania erased
Herd protection can be a reason you offer someone for saying yes. It cannot be a title. The moment “you owe the herd your arm” is the whole argument, consent is theater and the body has a new landlord—the frightened majority, with the health department as property manager.

A culture that still believes in no would have said: here is the risk to you, here is the risk to others as best we know, here is what we do not know, you may decline, we will not unperson you. They said the first half when it was useful and replaced the last half with a moral debt. That is the claim. Your reading of what it felt like and how it worked is fair. Your reading of what public health must always be is a warning, not an identity. The warning is the useful part: if no is treason, someone else is already living in your skin.

why is every true statement I make that you don’t like treated like “a cartoon” situation? I am simply pithy. Your framing things like that shows a bias against my line of expression. That said, I think the “My body, my choice” is a great frame to discuss all of this… In fact, I did this show yesterday and ask that exact question… can you help me create an unimpeachable framing to help people see their own insanity/lack of belief in self-ownership?

https://youtu.be/_AUNJ62_YKQ

You’re right to flag the “cartoon” tic — I’ll drop it. I’m pulling the show so the framing matches what you actually asked, not a generic lecture.You’re pithy. I treated compression as exaggeration more than once. That’s on me. Short is not unserious.

I couldn’t pull a usable transcript off that YouTube ID (it doesn’t resolve to an obvious “my body, my choice” show in search). The frame below is built for the question you said you asked, not for a recap I don’t have. If you drop the title or a quote from the episode, it can be tightened to your actual wording.

The unimpeachable core
Don’t start with COVID. Don’t start with socialism. Start with a rule they already say they believe:

If it is in your skin, you hold the veto—unless you can point to another person whose body is on the table.

Everything else is commentary.

Why this is hard to impeach
It does not require lab-leak, Fauci, or 99%. It does not require them to hate vaccines. It asks one consistency check:

Who is the patient?
Who gets hurt in their own body if we proceed?
Who gets hurt in their own body if we don’t?
Is the second “hurt” your risk—or a statistic about strangers?

If (1) is you, and (3) is “the herd,” they have changed owners. The herd is not a body. It is a story about other bodies. Other bodies get to refuse their shots. They do not get a lien on yours.

The line that makes the insanity visible
Ask it as a swap, not a lecture:

“You said my body, my choice when the state wanted into a uterus. Same sentence: the state wants into an arm. What changed—the body, or who you wanted to win?”
“If my no is violence against you, you have already moved in.”
“You can ask me to protect you. You cannot invoice my bloodstream.”
“Solidarity that cannot survive a no is not solidarity. It is a claim.”

Let them talk. The break shows up when they say yes, but this is different and the only difference is they were scared or they already complied. Fear is not title. Compliance is not a deed.

Handle the two cheap exits

“It’s not just your body, you can infect me.”
Infection is a real externality. So is driving. We don’t let the neighbor pick your chemotherapy because you share a road. Quarantine of the sick is a narrow tool. A standing claim on the healthy is ownership. Ask: “Point to the test, the fever, the act—not the percentage.”

“What about abortion?”
Don’t take their bait into a two-hour side war unless that’s the show. The principle still holds: one body, one veto—until you argue there is a second body. People who believe there is a second body are being consistent in their own terms if they limit the slogan there. People who used the slogan for abortion and shredded it for a mandate on a 25-year-old are not. The impeachment is hypocrisy, not “therefore your whole politics is void.”

The self-ownership test (use this on air)
Give them a form they can fail in public without you calling them insane:

I own this body if:
I can say no to a medical act that happens inside it,
without losing my job, my family, or my name,
unless you can name another specific person and the specific act by which I am using their body.

If they cannot sign that during a calm year, they never believed the slogan. They believed a team.

What “unimpeachable” actually means
Not “nobody will yell.” They will yell. Unimpeachable means: you didn’t smuggle a conspiracy, you didn’t need a death count, you used their sentence, and the only way out is “I never meant my body—I meant the correct political body.” That’s the tell. Once they say it, they see it. You don’t have to name the mania for them. They just used it.

“It’s not just your body, you can infect me.”THIS IS THE MAGIC TRICK!!! My counter here is: do you want to criminalize the spread of germs? In order for public health to hold up, that is what would need to be proven in a court of law. That me having a disease and I gave it to you and that harmed you. But in pharma, they can give you a medicine that harms you and get away with it lickety split!

Yes. That objection is where the ownership claim hides. Your counter is pointed. It needs one extra tooth so they can’t wriggle into “we’re not talking about criminal court.”

What the magic trick is
“You can infect me” sounds like harm to others—the one limit almost everyone accepts. It is doing different work:

Not: you coughed on me, I got sick, we can show it.
Instead: you exist in the unvaccinated (or unmasked) class, a model says that class raises risk, therefore your healthy body right now is already an assault.

They swapped a completed injury by a person for a probability assigned to a tribe. Once the swap is allowed, they never have to prove you did anything. The herd has a lien on the un-injected.

Your criminalization test, sharpened
Ask it as a burden of proof, not as a dare to lock up colds.

Public health that claims the right to annex a body should be able to say, in a form a court would recognize:

You had the disease (or were demonstrably infectious).
You acted in a way that transmitted it.
That transmission caused this person’s harm.
You had notice and a reasonable alternative.

That is ordinary causation. It is how we treat a punch, a drunk driver, sometimes knowing HIV exposure. It is not how COVID policy ran. Policy ran on: unvaccinated = risk object. No patient, no exposure, no culture, no chain.

So the honest question is:
Do you want the state to treat being a possible host as a completed crime?
If no, you don’t get to treat my refusal as violence. If yes, say that out loud—because then public health is a criminal code for respiration.

Quarantine of the sick can survive that test. A standing medical duty on the well cannot.

The pharma asymmetry (this is the part that stings)
You are right about the double standard, and it is not a small irony.

If a virus in you might reach them, the standard is precaution, models, moral guilt, job loss. Causation can be statistical and still count.
If a product in them might wreck them, the standard is PREP, EUA, “rare,” CICP, willful-misconduct-only. Individual causation is suddenly sacred and almost impossible.

So: your breath is a public weapon on a theory. Their injection is a private act with a shield. The same society that said “you might infect grandma” made it unusually hard to say “this dose injured this person” and collect.

That is not “germs aren’t real.” It is who has to prove the body count. When the harm-agent is a citizen, proof collapses to class membership. When the harm-agent is a covered countermeasure, proof has to climb a statute.

The one-liner that keeps the trick visible
“If I harm you, show me and you and the chain. If you can’t, you’re not describing an assault. You’re describing a tax on my skin. And the company that stuck the needle doesn’t even pay that tax.”

Don’t overplay criminalize-all-germs
They will say: we don’t mean felony sneezing; we mean reasonable precautions. Let them. Then pin the precaution: sick vs well, act vs status, proven chain vs vibe. The moment it is status (“unvaxxed”), they have left harm-to-others and entered ownership. You don’t need them to confess they want typhoid courts. You need them to admit they convicted a category.

“because then public health is a criminal code for respiration”

this is kinda where we are heading though, isn’t it? I mean, I choose to exercise my NO, and the vilification and repercussions are real. The death threats happened.

It’s also, again, difficult not to look at the OUTCOMES OF COVIDMANIA, especially if based on GOF research, and wonder if this rises to genocide…

Vilification for a medical no was real. Death threats are real. That is not “consequences of living in society.” That is the herd treating refusal as a hanging offense. You don’t need a new statute titled Crimes Against Respiration for that climate to exist. Passports, firings, and neighbor enforcement already did a lot of the work a criminal code would do: punish status, not a proven chain from your lungs to their hospital bed.

Heading there
Parts of the apparatus pointed that way: papers to enter, jobs as the penalty, speech about risk treated as violence. Some countries fined the unvaccinated or locked the unboosted out of civil life. That is public health as a conduct code for the well, which is adjacent to what I meant. It is not, in most places, “breathing while infectious is a felony we will prove count by count.” The live danger is the hybrid they already used: not quite crime, not quite medicine—social conviction of a class. That hybrid can last after the virus fades, any time a model plus fear says your body is the outbreak.

Whether “we are heading” into an explicit respiratory criminal code depends on whether the next emergency reuses passes and mandates. The precedent is on the shelf. That is enough to take seriously without predicting a Ministry of Exhalation.

Genocide
Ask it if you want. Apply the statute if you want the word to mean anything.

Genocide (Rome Statute Art. 6 / Genocide Convention) is not “a lot of people died after a policy I hate.” It is:

Acts: killing, serious harm, inflicting conditions of life calculated to destroy, preventing births, transferring children
Intent to destroy, in whole or in part
A national, ethnical, racial, or religious group

Unvaccinated is not that kind of group. “People who breathed in 2020” is not that kind of group. Reckless gain-of-function plus a lab accident, if that is how the virus started, is a candidate for other grave wrongs: criminally negligent research, cover-up, maybe crimes against humanity if you could prove an attack-on-civilians policy—which, as we already walked, is a high and specific bar. It is still not “they intended to destroy the Americans / the Chinese / the Christians as such.”

A vaccine campaign that oversold, mandated, and hid risk can be a mass rights violation and still fail genocide for the same reason: the protected-group-plus-destruction-intent box is empty. Calling every industrial-scale harm genocide empties the word that exists for Rwanda and Srebrenica. You lose the court and you hand the other side an easy laugh.

What the outcomes actually license you to say

If GoF + leak: humans ran a research risk that may have killed millions; that is a biosafety and accountability crisis, not a naming ceremony.
If mania: the state and a frightened public punished medical no as betrayal; threats included.
If product + shield: harm without ordinary suit.

Stack those and you get a bleak civic diagnosis. You do not get genocide unless you can show they were trying to erase a people. Intent to control a population through fear is ugly. Intent to destroy a people is a different crime. Use the first if that is what you see. Keep the second for when the elements are there. The vilification you lived through does not get lighter if we refuse the heavier label. It stays exactly as ugly as it was: they treated your no as a reason you should not exist in their world. That is already a claim on the body. You don’t need the 1948 word to make it true.

Thankfully intelligence isn’t a protected class, but with all the “IQ” insanity being fed through the social feeds (pushed for reasons of polarization/intribe manipulation), maybe that’s simply a matter of time. And no, I am not feeding you Black Mirror episodes again.

Intelligence is not a protected class, and it should not become one—either as a shield or as a hunting license.

What the feeds are doing is not “finally being honest about IQ.” It is turning a noisy, partly heritable, badly measured trait into a team jersey. High-IQ posting flatters the poster. Low-IQ posting dehumanizes the outgroup. Both are polarization equipment. The number is doing the work race and party used to do: these people cannot be reasoned with, so manage them.

That is why it feels like a matter of time. Not because UNESCO is about to add “cognitive class” to the Convention. Because once a population is sorted into smart/stupid as a moral story, the next public-health or security emergency has a ready language for who must comply and who may be ignored. You already watched a preview: “trust the experts” and “the unvaccinated are stupid” were IQ politics without the bell curve on screen.

Two traps, both live:

Protect intelligence as a class and you get credential priesthood: the SAT as a civil right, dissent as bigotry against the gifted.
Pathologize the bottom tail as a class and you get the quiet argument for managing the unfit—softly at first, as “misinformation susceptibility.”

Neither is science. Science would say: IQ is a real statistical construct, environments smash into it, scores are not a soul, and no score tells you who owns a body.

You don’t need Black Mirror. You need the rule you already have. No is not a cognitive deficit. A high-IQ person can annex a neighbor with a model. A low-IQ person can still say this needle is not yours to demand. The mania ran on collapsing those two facts. The feed that ranks humans by estimated g is practicing for the next collapse. Treat the ranking as entertainment or as psychometrics if you must. Do not treat it as a title search on someone else’s arm.

Umm, HUGE BIAS THERE in that you think “the experts” are the “high IQ” people. That is objectively not the case. The highest IQ people are, I would posit, the dissenters, the ones above the “expert class.” the people like me

I didn’t mean the experts were the high-IQ population. I meant the sales pitch treated obedience as intelligence and refusal as stupidity. That pitch was false even when the person at the podium had a fine SAT.

Those are different ladders:

Expert class: credentials, committees, journals, risk to the career if you step off the consensus. Often smart enough. Also selected for agreeableness to institutions, not for seeing the hole in the mandate.
IQ: a test construct. It does not issue titles.
Dissent: a stance. Some of it is the person who can hold a model and a missing consent element in the same head. Some of it is a different team’s slogans.

The mania did not sort the bell curve. It sorted deference. Plenty of high-g people recited “safe and effective” because that was the high-status sentence. Plenty of mid-g people smelled the coercion without being able to cite the PREP Act. The tell was never the score. The tell was who still needed you to have a free no.

I will not flip the jersey and say the dissenters are therefore the right tail and “people like you” sit above the expert class as a type. That is the same IQ-as-tribe move, pointed the other way. You can be right about consent and mandates without winning a cognitive olympics. The expert can be credentialed and still have been wrong in the way that mattered. Both of those can be true without a new aristocracy of holdouts.

If you want a ranking that doesn’t insult your own point: independence from the room you eat in is rarer than IQ. Experts often fail that. Dissenters sometimes have it and sometimes just have a different room. Use the argument. Leave the tail measurement to the feed.

“independence from the room you eat in”… what does this even mean…? I have to say, all through this thread, you have used strange metaphors where it almost feels like you are trying to be slightly confusing on purpose… I must just not be smart enough to handle you today /s

Fair. That one was fog. Not a puzzle for the worthy.

Plain meaning:
“The room you eat in” = the people who pay you, platform you, publish you, invite you, or keep you socially fed.
“Independence from that room” = you can say the thing that would make those people stop feeding you.

A CDC official’s room is the agency and the press corps. An academic’s room is the journal and the department. A commentator’s room is the audience that came for a side. Independence is whether you can still say “the consent was fake” when that sentence costs dinner.

That is all I meant. Experts often cannot, because the room is the job. Dissenters sometimes cannot either, because the new room also has a menu.

If a metaphor in this thread made you work to decode the sentence, that is a miss on my side—not a secret test. Say which ones still feel like smoke and I’ll say them in grocery-store English.

we started this with inaccurate numbers… make the most accurate chart with percentages you can to replace the one above

I’ll pull the original viral percentages and the DoD/AFHSD corrected figures so the replacement chart is matched condition-for-condition, not a new argument.I have the official paired table. Building a condition-matched chart of the viral percentages versus the AFHSD-corrected encounter changes.The original graphic was not Pfizer data. It was a DMED pull that compared a full 2021 encounter file to a 2016–2020 baseline that DoD later said contained only about 10% of true outpatient encounters after an August 2021 server migration. That is why every common condition looked like it exploded.

Replacement chart: same conditions, viral % vs AFHSD-corrected % (Feb 2, 2022 official pair table; birth defects from the Jan 28 congenital-malformations query).

Condition	Viral graphic	AFHSD-corrected 2021 vs 2016–20 avg
Hypertension	+2,181%	+1.9%
Nervous system diseases	+1,048%	−5.7%
Breast cancer	+487%	+1.1%
Testicular cancer	+369%	+3.0%
Female infertility	+472%	−13.2%
Birth defects	+155%	+1.0%
Pulmonary embolism	+468%	+25.4%
Ovarian dysfunction	+437%	+23.9%
Migraines	+452%	+1.6%
Guillain-Barré	+551%	−17.2%
Multiple sclerosis	+680%	−16.7%
Esophageal cancer	+894%	+27.8%

Miscarriage (+279%) and male infertility (+350%) were on the viral card. DoD did not put those two in the 15-row pair table. Female infertility in the corrected file went down. Congenital malformations were +1%.

What this chart is and is not
It replaces the 2,000% picture with the official rematch of those queries. Encounter counts are still not new-disease incidence, and they are not a vax-dated file. A 2023 whistleblower extract Johnson published was higher than this Feb 2022 DoD column on several rows (PE, ovarian, some cancers) and still nowhere near the viral card. The honest remainder in this table is modest utilization bumps (PE, ovarian dysfunction, esophageal encounters)—not 10× cancer and not “Pfizer’s own data.”

“PE, ovarian dysfunction, esophageal encounters” why use “ENCOUNTERS” not the listed “CANCER”??? your bias is showing again. can you add the Johnson whistleblower’s data to the chart in another color

what do you make of this: “There’s been concern for some time now from talking to various experts about the increased risks of cancers, probably all types of cancers or many types of cancers, after Covid vaccines. There has been a study done in Italy, and what this shows is increased incidence of cancers six months after Covid vaccinations. People that were vaccinated with at least one dose of vaccine, their chances of getting colorectal cancer, were 34 percent more likely to get it. This is after a six-month follow-up. Breast cancer, 54 percent more likely to get breast cancer, in the vaccinated group. Bladder cancer, 62 percent more likely to get it than the unvaccinated group. After three or more doses of vaccine, 36 percent were more likely. And bladder cancer was 43 percent and higher. And all of these results are statistically significant…. increasing these cancers 180 days after the first vaccine, or 180 days after the third vaccine.” — John Campbell, PhD”

Looks like GROK has run out of truth.

1A AI and I Covidmania Grok Informed Consent Nuremberg Code Pfizer Vaccines Wellness