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The Vaccine Evidence Ledger
Debate reference · updated 1 November 2026

The Vaccine Evidence Ledger

Twenty-six recycled anti-vaccine claims, the studies that actually answer them, and an honest audit of the papers the other side cites. Every number here is linked to its source. Nothing is asserted that a citation does not carry.

4,852
Confirmed US measles cases in 2026, the most since 1991. PAHO is reviewing US elimination status this month.
CDC · as of 29 Oct 2026
92.4%
Kindergarten MMR coverage, 2025–26. Blocking sustained measles transmission takes about 95%.
CDC SchoolVaxView
4.2%
Kindergarten vaccine exemptions — a record. 24 states are now above 5%.
CDC · ~155,000 children
1.89
Vaccine-injury claims compensated per million doses distributed, 2006–2024.
HRSA VICP · 5.65bn doses
58 claims · 14 papers audited · 9 figures · 8 outbreaks · 1 thing to do instead Sources: peer-reviewed literature, CDC, HRSA, national registries

How to use this without losing the argument

You will not win by volume. Pick one claim, ask them to commit to it, then answer that one with a citation. If they change subject before conceding, name it and go back.

If the person is someone you love, stop here and read Talking to people you love instead. This page is built for public argument, and in a private conversation almost all of it is the wrong tool.

Concede the real things — there are real things, and they're in What’s actually true. A cheat sheet that admits nothing is a cheat sheet nobody believes. The strongest position available to you is the accurate one: vaccines have measurable, rare, catalogued harms, which is exactly how we know the surveillance is working, and those harms are orders of magnitude smaller than the diseases.

Claims & rebuttals

58 claims

Each entry gives the claim as it is usually phrased, a short answer you can copy and paste, the primary evidence with sample sizes, and the move they almost always make next.

No claim matches that search. Try a broader term.

The papers they cite

14 audited

The anti-vaccine canon is small and repeats. Four of its foundation papers have been formally retracted; several others appeared in journals with no meaningful peer review. A handful are real, competent research that is simply being described wrongly — those are the ones worth knowing best, because dismissing them makes you look like the one who hasn't read it.

■Retracted Pulled by the journal.
■Discredited Stands, but the method doesn’t support the claim.
■Misrepresented Sound paper, wrong conclusion drawn.
PaperVerdictWhat’s wrong with itCited for

Figures

3 charts · hover for values

Measles is coming back, and the timing is not subtle

Confirmed US measles cases per year. The United States declared measles eliminated in 2000 — meaning no continuous domestic transmission for 12 months. 2025 was the worst year since 1991; by late October, 2026 had more than doubled it.

Source: CDC, Measles Cases and Outbreaks. 2026 figure is year-to-date as of 29 Oct 2026. CDC has since revised the final 2025 count to 2,289 from the provisional 2,144 shown in earlier versions of this page. In 2025, 93% of confirmed cases were in people unvaccinated or of unknown vaccination status; 11% were hospitalised and three people died, two of them children.

Thimerosal was removed. Autism diagnoses kept climbing.

CDC ADDM Network prevalence of autism spectrum disorder among 8-year-olds, per 1,000 children. The mercury-containing preservative thimerosal was removed from routine US childhood vaccines between 1999 and 2003 (Denmark and Sweden dropped it in 1992). If it were driving the rise, the curve had 20 years to bend. It did not.

Source: CDC ADDM Network surveillance summaries, 2000–2022 (MMWR). The rise tracks broadened diagnostic criteria, earlier screening and better ascertainment — not exposure.

Twelve children versus four million

Number of children in each study, drawn to a single linear scale. The 1998 Lancet paper that launched the MMR–autism claim studied twelve children, had no control group, and was retracted for fraud. It is the small mark at the top — invisible at this scale, which is the point.

Sample sizes as reported in each publication. Danish cohorts partially overlap in calendar time and are not additive; they are shown separately for that reason.

Flu shots & shedding

Reference tables

These two arguments fail differently from the rest, and both reward precision. The flu objections are mostly about efficacy rather than harm — “it doesn't even work” — which needs numbers, not reassurance. Shedding is the opposite: it is partly true, for four specific live vaccines, in ways that are measured and published. Saying “that's not a thing” loses to anyone who has read a package insert.

The shedding matrix

Every routine US vaccine, whether it can shed, and what has actually been documented. Four of the eight rows are live attenuated; only one of those transmits in a way that mattered enough to change policy.

VaccineTypeCan it shed?What is actually documented

“Only 40% effective” is the number for the mildest outcome

Influenza vaccine effectiveness, 2024–25 US season, shown as the range across four independent VE networks. The figure people quote measures protection against catching any symptomatic flu at all. Protection against being hospitalised — the outcome the vaccine exists for — is measured separately, and it is higher.

Source: Interim 2024–25 seasonal influenza VE estimates, four US VE networks, CDC MMWR 2025. Ranges reflect differences between networks in design, setting and population. Across the 2010–11 to 2023–24 seasons, US influenza vaccination is estimated to have prevented about 35 million illnesses, 1 million hospitalisations and 85,000 deaths.

The three flu concessions worth making first

Effectiveness genuinely is mediocre in some seasons. A 19–40% season happens, usually when H3N2 drifts after strain selection. Nobody who works on this pretends otherwise, and the honest framing is a seatbelt that works most of the time, not armour.

Repeat vaccination may blunt the response. A 2022 systematic review estimated roughly 18% lower effectiveness against H3N2 in people vaccinated two seasons running versus the current season only. It's a live research question — and every combination still beat no vaccination.

Rotavirus vaccine really does shed. Routinely, in stool, for about a week. The guidance is to wash your hands after nappy changes if someone in the household is severely immunocompromised. That's the complete, unexciting truth of the one vaccine where shedding is an everyday occurrence.

COVID origins

Open question — handled differently
□  Unresolved

Read this before using anything below

Every other section of this page covers questions that have been tested and answered. This one has not been. Where SARS-CoV-2 came from is a live scientific and intelligence question, and the honest answer is that nobody knows. The published virology literature leans toward an animal origin at the Huanan market; the US intelligence community is split, and every agency on every side holds its position at low or moderate confidence. Anyone telling you it is settled — in either direction — is telling you about themselves.

The trap to avoid: origin has essentially no bearing on whether the vaccines work. Vaccine safety and efficacy were established by trials and by surveillance of billions of doses. Those findings do not change if the virus came from a lab. If you argue as though lab-leak must be false in order for vaccines to be good, you have attached a settled question to an unsettled one, and you will deserve to lose. The reverse error is just as common: a lab origin would be an indictment of biosafety governance, not of immunology.

What is settled is a narrower set of claims — bioweapon, HIV inserts, deliberate engineering. Those are separable and they are addressed in the claims list under Origins.

The evidence, both columns

Presented without a verdict, because there isn't one. Read both sides before you argue either.

Who has assessed it, and how confidently

Confidence level is the part that gets stripped out when these assessments are quoted. It is the most important column in the table.

BodyAssessmentConfidenceDetail

The one thing every agency agrees on

Every US intelligence agency — including those favouring a lab origin — assesses that SARS-CoV-2 was not developed as a biological weapon, and almost all assess that it was not genetically engineered. The mainstream lab-leak hypothesis is an accidental release of a natural or field-collected virus during research, which is a claim about biosafety practice. It is not the same claim as "they built it," and the two get merged constantly. Separating them is usually the most useful thing you can do in this argument.

Mandates & exemptions

Part evidence, part values
□  Two different questions

Don’t argue the second one with evidence from the first

What mandates do is an empirical question, and it has answers. We have natural experiments running in both directions — states that removed exemptions and states that added them — and coverage moves in the direction you would expect, every time. That part is measurable and it is below.

Whether the state should mandate is not a scientific question at all. It is a question about bodily autonomy, parental authority, religious liberty and the harm principle, and no study settles it. Someone can accept every fact on this page and still oppose mandates without being irrational or anti-science. Treating them as a science denier at that point is both wrong and strategically stupid — it converts a policy disagreement into an identity fight you cannot win.

A third slice is genuinely unsettled legally, right now: whether a mandate must include a religious exemption is live before the federal courts and at least one state supreme court as of this writing.

The natural experiments

Four states changed their exemption law and the coverage data followed. Two tightened, two loosened. This is as close to a controlled trial as policy ever gets.

State & changeDirectionWhat happened to coverageCaveat

The national average is not the unit of transmission

Kindergarten MMR coverage, 2025–26, against the roughly 95% needed to stop sustained measles transmission. The national figure understates the problem in both directions: outbreaks do not happen to countries, they happen to schools and counties, and the spread between the best and worst state is 23 percentage points.

Source: CDC SchoolVaxView, 2025–26 school year. Exemption clusters compound this — a census tract inside a non-medical exemption cluster had 2.7 times the odds of also sitting inside a pertussis cluster in Michigan, and geospatial analysis has linked eight national exemption clusters to eleven pertussis clusters.

The argument itself, both columns

No verdict, because this is a values dispute and the page does not get a vote in it.

Where the law actually stands

Jacobson v. Massachusetts (1905) upheld a state's power to compel smallpox vaccination — though what it actually upheld was a $5 fine, not forcible vaccination. Zucht v. King (1922) held unanimously that schools may exclude unvaccinated students even absent an outbreak. Those remain good law, and they are why school mandates exist.

What is changing is the religious-exemption question. For over a century no appellate court held that a mandate must contain one. In December 2025 the Supreme Court vacated the Second Circuit's judgment in Miller v. McDonald — the Amish challenge to New York's 2019 repeal — and sent it back for reconsideration in light of Mahmoud v. Taylor. West Virginia's own supreme court is weighing a parallel dispute after the governor created religious exemptions by executive order and the state board of education refused to honour them. If you are arguing that mandates without religious exemptions are legally settled, you are describing 2019, not now.

What the autism research actually shows

The positive case
□  Read the framing first

“Not vaccines” is a bad answer to the question being asked

Most people who raise vaccines and autism are not running a disinformation campaign. They are a parent asking what happened to my child, and “not that” does not answer it. Every other autism entry on this page is a negative — it rules something out. This section is the positive case, and in practice it changes more minds than the rebuttals do, because it replaces the explanation instead of just removing it.

On language and framing. This section uses identity-first language (“autistic people”), which most autistic self-advocates prefer. Explaining where autism comes from is not the same as treating it as a catastrophe to be eliminated, and nothing in the research below implies that. Autism is a neurodevelopmental difference with an enormous range of support needs — some autistic people need lifelong daily care, many need none. Both facts are true at once, and a summary that flattens either one is a worse summary.

Autism starts before the vaccine is given — often before birth

When each line of evidence says autism is already underway, against when the first MMR dose is administered. This is the single most useful thing on the page for this argument: the biology is measurable a year or more before the event it gets attributed to, and in the case of cortical development, months before the child is born.

Sources: Stoner et al., NEJM 2014 (focal cortical disorganisation in layers formed during the second trimester); Jones & Klin, Nature 2013 (declining eye fixation from 2–6 months); prospective infant-sibling cohorts; CDC immunisation schedule. Median US age at diagnosis remains well over 4 years — the gap between when autism begins and when it is recognised is the space in which false explanations grow.

Where the evidence actually points

The short version: autism is overwhelmingly heritable, the non-genetic contributors that hold up are prenatal rather than postnatal, and the rise in diagnoses is mostly a change in counting.

FactorStatusWhat the research showsSource

Why the numbers climbed

Diagnosed prevalence went from about 1 in 150 to 1 in 31 in twenty-two years. Almost every step of that has a documented administrative cause, and the strongest single clue is that 16 CDC surveillance sites using identical criteria in the same year reported rates ranging from under 1% to 5.3%. A five-fold spread across American cities is not biology. It is who gets looked at.

The dead ends — including the one that did real damage

From the 1940s into the 1970s the leading theory was the “refrigerator mother”: that autism was caused by cold, withholding parenting. It was wrong, it was never supported, and it inflicted decades of blame on mothers of autistic children. It is worth knowing about, because it is the clearest demonstration that a confident, institutionally endorsed causal story about autism can be completely false — and because the people harmed by it were the same people the vaccine theory now recruits.

Also tested and unsupported: thimerosal, the MMR, the schedule as a whole, screen time, and “leaky gut.” Acetaminophen is the live one — observational studies found associations, but the largest and best-designed analysis, a sibling-control study of 2.4 million Swedish children, found the association disappeared once shared family factors were accounted for (hazard ratio 0.98). When HHS announced a label change in September 2025, the Coalition of Autism Scientists and the Autism Science Foundation objected that the evidence was “limited, conflicting, and inconsistent.” The honest statement is not “disproven” but “the best-designed evidence points away from it.”

What’s actually in a vaccine

Six categories, by function

The ingredient argument works by reading a list aloud. Every substance has a frightening name if you use its chemical one and omit the quantity — and the technique works equally well on bread. The counter is not reassurance, it is function and dose: what each component is for, and how much of it is actually there. There is also genuinely useful information buried in this topic, because a few ingredients cause real allergic reactions in a small number of people, and those are worth knowing rather than dismissing.

CategoryWhat it doesTypical examplesWorth knowing

Where an infant’s aluminium actually comes from

Total aluminium an infant receives in the first six months of life, by source. Vaccines are the smallest contributor on the chart and the only one anybody argues about. Depending on how a baby is fed, total intake over that period runs from roughly 5 to 127 mg.

Source: Children's Hospital of Philadelphia Vaccine Education Center. Note that injected and ingested aluminium are not pharmacokinetically identical — roughly 0.3% of dietary aluminium is absorbed, and the adjuvant is a particulate depot cleared over months. That is why the definitive evidence is the outcome study rather than the dose comparison: 1.24 million Danish children, 50 chronic conditions, no association.

The named ingredients, with quantities

Every one of these appears on the standard scary list. The second column is the part that never gets read out.

The part that’s actually useful: real allergic reactions

Gelatin — used as a stabiliser in MMR, varicella and the nasal flu spray — is a genuine cause of vaccine anaphylaxis, and people with known gelatin allergy should say so before vaccination. PEG in mRNA vaccines is associated with anaphylaxis at roughly 5 to 8 cases per million doses. Neomycin appears in trace amounts and more often causes contact dermatitis than anything severe. Some vial stoppers contain latex. Overall vaccine anaphylaxis runs on the order of one to two cases per million doses, which is why providers observe you for fifteen minutes and stock epinephrine.

Egg allergy is the example worth citing when someone claims guidance never changes. For years, people with severe egg allergy were told to get flu vaccines only in medical settings. In June 2023 ACIP removed every egg-related precaution for every influenza vaccine — including for people with prior anaphylaxis to egg — because the accumulated evidence showed the residual ovalbumin content was too low to matter. The rule was loosened because the data said so, which is precisely what critics claim never happens.

How a vaccine actually gets made

Pipeline & surveillance

Several claims on this page — “rushed,” “never placebo-tested,” “no long-term data,” “nobody checks afterwards” — are really one claim: that nobody knows what the approval process involves, including the people defending it. Here is the actual pipeline, what each stage can and cannot detect, and what watches after licensure. The last part matters most, because the honest answer to “trials are too small to catch rare harms” is yes, they are — and the system is built around that fact rather than in denial of it.

Twelve years, six stages, and what each one is for

Typical durations for a vaccine developed from scratch, with the number of people involved at each stage. The escalation matters: each phase is sized to answer a different question, and the questions get harder as the numbers grow.

Durations are typical ranges and vary widely by product; the conventional summary is 10–15 years from bench to licensure. Roughly 40% of industry vaccine programmes that enter clinical trials eventually succeed — meaning most candidates fail, usually for lack of efficacy rather than for safety.

What watches after approval

VAERS is the system everyone in this argument has heard of and the weakest one in the stack. It is a smoke detector — deliberately open, deliberately unfiltered, designed to be over-sensitive. These are the systems that actually establish whether a signal is real.

SystemTypeScaleWhat it can do

Four times it caught something real

The strongest answer to “they'd never tell us” is a list of the times they did — with the detection interval, which is usually months.

The criticisms of this process that are actually fair

Phase 3 trials genuinely cannot detect rare events. A 40,000-person trial has reasonable power to find something occurring at 1 in 1,000 and essentially none to find something at 1 in 100,000. Myocarditis was not missed because anyone hid it; it was missed because it is rarer than the trial could resolve. That is a real limitation, and the correct response is not to deny it but to point at what the post-licensure systems are for.

Trial populations underrepresent the people who most need the data — pregnant women, the very elderly, the immunocompromised — which is why guidance for those groups often lags and rests on observational evidence.

Most trials are sponsored by the manufacturer. Independent replication happens less than it should, and publication bias is real across all of medicine. The strongest counterweight is that the large post-licensure cohorts — Danish, Swedish, UK, Finnish — are run by government agencies on compulsory registries, which is exactly why those studies carry so much of the weight on this page.

How herd immunity actually works

The mechanism

Herd immunity sits underneath half the arguments on this page — the 95% figure, the clustering evidence, the mandate case, “why do you care if I'm unvaccinated.” It is also the concept most often asserted and least often explained. It is one line of arithmetic, it has real limits, and knowing where those limits are is what separates an argument that holds up from one that collapses the moment somebody mentions tetanus.

The whole mechanism, in one line

Every infection has a basic reproduction number, R₀ — the average number of people one case infects in a population with no immunity. If R₀ is above 1 the outbreak grows; below 1 it dies out. So you don't need to make everyone immune. You only need to make enough people immune that the average case infects fewer than one other person.

That gives the herd immunity threshold: HIT = 1 − 1/R₀. For a disease with R₀ of 2, you need half the population immune. At R₀ of 6, 83%. At R₀ of 15, 93%. The relationship is steep at first and then flattens, which is why highly transmissible diseases are so unforgiving — the last few percentage points are where all the difficulty lives.

Why measles is the hard one

The herd immunity threshold as a function of R₀, with conventional estimates for familiar diseases plotted on it. Measles sits far out on the flat part of the curve. That is the entire reason it needs coverage in the ninety-somethings while polio manages at eighty-odd, and the reason measles is always the first disease to come back.

R₀ figures are conventional central estimates and should be treated as approximate — see the caveat below, which matters more than it might look.

□  Caveat worth knowing

The famous measles R₀ of 12–18 is shakier than almost anyone repeats

A 2017 systematic review in The Lancet Infectious Diseases went looking for the evidence base behind that number and found feasible published estimates ranging from about 3.7 to over 200, with fewer than 13% of studies producing a median anywhere inside the 12–18 range everyone cites. R₀ is not a constant of nature. It depends on population density, contact patterns, age structure, season and setting.

This does not undermine the case for high coverage — the operational 95% target comes from field experience and modelling of actual outbreaks, not from plugging one number into one formula, and measles demonstrably spreads at 92% coverage. But if you quote “R₀ of 12 to 18” as though it were a physical constant, someone who has read the review can embarrass you with it. Say “extremely transmissible, with estimates varying by setting” and you lose nothing.

Outbreak case studies

8 natural experiments

Every one of these has the same shape: coverage fell for a reason you can name, and a disease came back. They are the closest thing to controlled experiments this field will ever ethically produce, and together they answer “what actually happens” more convincingly than any single study. Two of them are included because they complicate the story rather than confirm it.

What the eight have in common

The fuse is long. Wakefield published in 1998; England lost endemic-free status in 2006 and a man died in Swansea in 2013. The people who got sick were the babies whose parents read the coverage fifteen years earlier. Nobody experiences the consequence close enough in time to connect it to the cause, which is exactly why the argument never settles itself.

The trigger is often real. Samoa began with two infants killed by a genuine vaccine administration error. The Philippines began with Dengvaxia, which genuinely did harm dengue-naive children. In both cases the damage was done less by the original error than by how badly the response to it was handled — which is the strongest practical argument for acknowledging real adverse events quickly rather than minimising them.

Outbreaks do not reliably change minds. This is the uncomfortable one. Reporting from Gaines County after the 2025 Texas outbreak found the experience had hardened local Mennonite attitudes against vaccination rather than softening them. If your theory is that people will come round once they see a child die, the evidence does not support you.

What’s actually true

Concede these

Vaccines are not risk-free, no one serious claims they are, and the system that catches problems has caught them repeatedly. Bring these up before your opponent does. It costs you nothing and it takes away their best move — the accusation that you'll defend anything.

The honest summary of the risk picture

Serious vaccine adverse events are real, rare, and usually identified within months to a few years by exactly the surveillance systems critics say don't exist. Between 2006 and 2024 the US compensated 10,633 injury claims against 5.65 billion doses distributed — 1.89 per million. Measles, by contrast, hospitalises about 1 in 5 unvaccinated people who catch it and kills 1 to 3 per 1,000 infected children.

That asymmetry is the whole argument. It does not require pretending the numerator is zero.

Talking to people you love

Where this page is the wrong tool
□  Put the citations down

Everything above this is built for public argument. Your sister is not a public argument.

In a comment thread you are not trying to convert your opponent — you are answering them legibly for the hundred people reading silently. Winning is the goal, and the citations are the weapon. None of that applies across a kitchen table. There is no audience, the goal is a vaccinated child rather than a conceded point, and the relationship has to survive the conversation — because if it doesn't, you have removed the one person who might have influenced them later.

What follows is what the research actually supports, including a finding that is awkward for a page like this one: facts reliably change what people believe and much less reliably change what they do.

What the evidence says — including two surprises

This field has its own folk wisdom, and some of it is wrong in the same way the claims on this page are wrong — repeated confidently, never checked.

Common adviceVerdictWhat the research actually found

A sequence that works

Adapted from motivational interviewing, the best-evidenced approach to vaccine hesitancy. The order matters — most failed conversations are steps four and five delivered first.

When to stop

You may not change their mind, and that is a real possible outcome rather than a sign you argued badly. If the conversation is becoming the defining feature of the relationship, stop — not as a concession, but because the most valuable thing you can be is the person they come to when something changes. A cousin who stayed warm is reachable in two years. A cousin who blocked you is not.

Two things are worth holding onto if you get nowhere. Partial is not nothing: a child who gets some vaccines late is better protected than one who gets none, and “would you consider just the MMR?” is a question people say yes to far more often than “will you do the whole schedule?” And clinicians outrank relatives — a provider's clear recommendation is the single strongest predictor of uptake, so getting someone to a conversation with their own doctor may accomplish more than anything you say.

Rhetoric field guide

8 recurring moves

These arguments are built the same way every time. Recognising the structure is worth more than memorising any single citation, because the structure is what makes a losing position feel like a winning one.