Danish Study on 1.2 Million Children Settles the Vaccine-Autism Debate?
A new study titled Aluminum Adsorbed Vaccines and Chronic Diseases in Childhood by Niklas Andersson, M.D., et al. is making headlines for supposedly “debunking” the link between aluminum in vaccines and autism. It’s being shared all over by the mainstream media and pro-vaccine voices alike.
Have you seen the headlines?! The vaccine-autism debate is over!…Right? The problem is, most people never read the actual study. I did. And what it shows is a very different story. Let’s dig in. Buckle up.
No True Control: Comparing Aluminum to Aluminum
They removed the most vulnerable children…and they removed the most heavily exposed. Which means any actual signal of harm was conveniently filtered out before the analysis even started. The study removed over 20,000 children diagnosed with congenital or preexisting conditions. If they were harmed, wouldn’t that be the most critical data of all?
The first issue is that the study didn’t compare vaccinated vs. unvaccinated children—it compared varying doses of aluminum within an overwhelmingly already vaccinated population. The so-called “zero aluminum” group (15,237 kids) wasn’t truly unvaccinated; it included many who received non-aluminum shots like MMR. The authors even admit their analysis relies on random variation in aluminum exposure, not vaccinated vs. unvaccinated comparisons. So the real question this study asks is: Does slightly more aluminum on top of an already-aluminum-injected baseline lead to more harm? But that tells us nothing about whether aluminum causes harm in the first place.
Observational Design and Exposure Assumptions
Additionally, this wasn’t a randomized controlled trial— it was observational, with no true control group and no assigned exposure.That means no valid causal inferences can be made, even by epidemiology’s own standards.
They didn’t measure aluminum in blood or tissue, didn’t track individual absorption or clearance, and didn’t account for any biological variability between children. They just assumed each kid got the expected dose and processed it the same. So at best, this is correlation within an already aluminum-injected population. At worst, it’s a manipulation passed off as science, used to falsely reassure the public that aluminum in vaccines is safe without actually proving anything.
Misleading Outcome Interpretation
The authors claimed there was no increased risk of autism, ADHD, asthma, eczema, or anything else. In some cases, they even claimed negative associations—meaning the data could possibly indicate that aluminum is somehow beneficial to the body. But, as Jeremy Hammond (JeremyHammond.com) pointed out: Is it biologically plausible that a neurotoxin enhances neurodevelopment or immune function?
Or are we simply looking at a statistical artifact that was manufactured by systemic exclusion and model design? Let’s look even deeper…
Exclusion Criteria That Undermine Integrity
Now, with respect to exclusion criteria, let’s look at two of the worst exclusions from this study, because they completely compromise the results. It doesn’t matter what the authors’ intent was; these were deliberate methodological choices that scrubbed the dataset of the children most likely to show harm. And most people won’t even notice, because they never read the methods section—by far the most important section of the study.
So here’s what they did: They removed the most vulnerable children…and they removed the most heavily exposed. Which means any actual signal of harm was conveniently filtered out before the analysis even started. The study removed over 20,000 children diagnosed with congenital or preexisting conditions—things like congenital rubella, immune issues, and respiratory disorders. But aren’t those the exact types of children who might be more sensitive to aluminum or other synergistic toxic exposures? If they were harmed, wouldn’t that be the most critical data of all?
These kids still got vaccinated. They still got aluminum. But they were thrown out of the dataset before the study began, so their outcomes were never even considered. The study also removed nearly 35,000 children who got “too many” aluminum-containing vaccines in the first two years of life.Too many? According to who? Isn’t that the exact group we should be looking at most closely for doseresponse harm?
If a kid got more shots than average—whether due to catch-up schedules or overzealous pediatricians—they’re gone from the analysis. You don’t have to be a statistician to see how removing the most exposed group makes it harder to detect any dose-dependent toxicity.
But wait, there’s more!
Hidden Biases and Model Manipulation
Now let’s look at hidden biases plaguing this study. First, healthy user bias—a major distortion baked into this study. While it sounds technical, it’s pretty simple: Kids who follow the full schedule are often the ones already considered “healthy” by mainstream standards. That doesn’t mean they’re biologically healthy, it just means their parents followed every pediatric recommendation without question. These are families who opted for hospital births, accepted Pitocin and Tylenol, followed the growth charts, and kept every well-baby visit. The system sees them as “healthy,” even if their actual health is compromised, and that skews the data right out of the gate.
The “less vaccinated” group often includes children who were taken off the schedule because of health problems. Developmental delays, seizures, regression-early signs of harm often lead to stopping further vaccination. So what you’re left with is a “more vaccinated” group that was never flagged for early problems, and a “less vaccinated” group that includes many kids who were already sick. That’s not a valid comparison. It completely distorts the result by embedding early-life illness into the supposedly “less exposed” group. It’s another example that completely skews the data.
It gets worse. The study “adjusted for” how many times a child saw the doctor before age 2—meaning they treated doctor visits as a variable that could skew the results and statistically controlled for it in the model, as if it were unrelated to aluminum exposure. But what if some of those visits were for vaccine reactions—like seizures, rashes, or inflammation caused by aluminum? If that’s the case, then this is a textbook example of collider bias.
They adjusted for something that could have been a direct consequence of the very thing they were studying. That’s like studying whether tequila causes drunkenness, but adjusting for how often people get drunk and slur their words. It renders the study structurally incapable of detecting harm.
Institutional Conflict of Interest
The authors cite “none” under primary funding source, which is also very disingenuous.
To imply this study was truly independent is dishonest. Most of the authors work for Statens Serum Institut (SSI)— the same agency that develops, purchases, and distributes vaccines for all of Denmark. If an “anti-vax” group had published it, that connection would be everywhere. But when it’s a state-run vaccine producer evaluating its own products? Silence.
SSI receives massive ongoing funding from the Novo Nordisk Foundation, the Gates Foundation, NIH, and others for vaccine R&D. C’mon.
What the Study Didn’t Measure
The study did adjust for some basic factors like birth year and household income, but they also skipped over massive ones. It didn’t account for C-section birth, Pitocin, EMFs, Tylenol use, clustering of aluminum doses, or any real measure of early-life toxic burden. It didn’t even mention breastfeeding status or duration—an omission that, as my friend Dr. Marizelle Arce noted, could hide major subgroup vulnerability.
No serious critics are claiming aluminum is the only cause of autism or chronic illness. It’s likely the cumulative, synergistic effect of many exposures, especially in the most vulnerable windows of development.
This is why statistical models like this are on shaky ground, especially when they ignore compounding variables. No serious critics are claiming aluminum is the only cause of autism or chronic illness. It’s likely the cumulative, synergistic effect of many exposures, especially in the most vulnerable windows of development.
A Shortened Timeline That Misses Long-Term Harm
One of the biggest limitations is that the study’s primary analysis only followed children through age 5. That’s an incredibly short window, especially considering that many chronic and neurodevelopmental conditions—like autism—often don’t show up or get diagnosed until later.
It is quite literally a house of cards built on unproven assumptions, repeated so often they’ve been mistaken for evidence (again because no one reads the actual studies, and even fewer read the methods section).
A secondary analysis extended follow-up to age 8, but it only applied to a small subset of children, and the study never specifies how many.
Despite this, the study is being promoted as if it definitively rules out harm from aluminum. But most children weren’t even observed beyond early childhood. That makes it impossible to draw valid conclusions about long-term safety.
When researchers build a statistical model, they decide what to include, what to exclude, what to adjust for, and what to leave untouched. Those decisions shape the outcome.
In this case, the authors excluded high-risk children, adjusted for early doctor visits (which may have been caused by vaccine injury), and ignored healthy user bias—all of which obscure potential harm. Add in the institutional ties of the SSI, and what you get is a model designed to reinforce safety, not objectively assess it.
This is exactly why observational studies like this, especially when riddled with bias and conflicts of interest, cannot be used to validate safety.
But what are they basing the claim of aluminum safety on in the first place? It gets much worse.
The Myth of Aluminum Safety: Mitkus and Flarend
The Danish study leaned on Mitkus et al. (2011) to justify aluminum safety. Mitkus is regularly cited by the CDC and FDA, but hardly anyone actually reads it.
The entire model was built using data from oral aluminum ingestion in adult humans—and a 1997 rabbit injection study (Flarend et al.).
That’s right:
They simulated infant injection clearance based on adults swallowing aluminum and four adult rabbits getting shots. No real-world infant data. Just a simulation stacked on assumptions.
In the Flarend study, two rabbits were injected with aluminum hydroxide, two with aluminum phosphate. That’s it. At day 28, ~17% of the hydroxide and ~51% of the phosphate remained in their bodies. But that doesn’t tell us if damage occurred before excretion—and the aluminum clearance varied per rabbit. These were adult rabbits, not human infants, and the study didn’t track long-term harm or inflammation. Yet this was used to build Mitkus’ infant clearance model.
Mitkus used this rabbit data and oral ingestion estimates to simulate aluminum clearance in infants. No infants were studied. No direct measurement. No accounting for neuroinflammation or long-term retention.
Seriously think about that: A simulation was built on adult ingestion and four rabbits, and that gets cited by the CDC, FDA, etc., and this Danish study to argue real-world aluminum safety.
It is quite literally a house of cards built on unproven assumptions, repeated so often they’ve been mistaken for evidence (again because no one reads the actual studies, and even fewer read the methods section).
This Study Doesn’t Apply to the United States
Even if the Danish study were methodologically sound (it isn’t), its findings still can’t be applied to the US. The vaccine schedules are different—both in total aluminum exposure and timing.
By 12 months, Danish infants receive ~1.2-1.5 mg of aluminum, while US infants receive 3.6-4.2+ mg—more than double, and in more tightly clustered windows.
Medical birth environments differ significantly too, with far higher Pitocin and epidural use in the US, not to mention higher glyphosate exposure and mandatory folic acid fortification. These all contribute to a drastically different baseline for toxicological burden and infant resilience. You can’t generalize safety findings from a lighter, slower-paced schedule in Denmark to a more aggressive US schedule. That would be absurd. Even if the study were valid (it’s not), it simply does not apply to the US.
The only way to meaningfully assess whether vaccines (and aluminum adjuvants) are safe is to compare the health outcomes of fully vaccinated children to completely unvaccinated children.
Not different aluminum doses within already vaccinated groups. Not regression models or simulations. An actual comparison of real-world outcomes: autism, neurological issues, autoimmune conditions, chronic illness, and so on.
And the whole point of a completely unvaccinated vs. fully vaccinated study is to determine whether vaccines are safe and beneficial to health in the first place—because that’s never actually been demonstrated. Yet when people demand this kind of study, it’s called “unethical” or “unnecessary.” That’s what Dr. Sean O’Leary of the AAP said—citing institutional consensus as justification while completely ignoring the fact that the foundational claim hasn’t been empirically validated.
The only way to meaningfully assess whether vaccines (and aluminum adjuvants) are safe is to compare the health outcomes of fully vaccinated children to completely unvaccinated children.
It’s circular reasoning and appealing to authority masked as “evidence.”
Why Aluminum Is There (and Why It’s Never Been Validated)
So why is aluminum even in vaccines? Because without it, the so-called “antigens” don’t provoke enough of a (supposed) immune response.
Aluminum is added to create inflammation— deliberately triggering the body to interpret the substance as dangerous. The idea is that this mimics infection and builds “immune memory” (which is another unproven assumption).
But this has never been shown to be safe, or even necessary. There’s zero empirical evidence proving that this artificially induced response translates to long-term health benefits or that it mimics how the body works.
Like much of the vaccine paradigm, it’s just assumed to work and be safe. But assumptions aren’t science, and policies based on those assumptions are not evidence-based.
The Cascade of Assumptions
Here’s the cascade of assumptions this study is built upon (a house of cards):
Denmark’s schedule is comparable to the US. Five years is enough to detect harm. Healthy user bias doesn’t distort results. Adjusting for early doctor visits doesn’t erase adverse signals. Excluding vulnerable or overexposed kids doesn’t skew the data. You don’t need a true unvaccinated control group. All infants respond the same to injected aluminum. Data from four adult rabbits works just fine. You can simulate infant responses without ever measuring them.
Oral aluminum safety thresholds apply to injections. Ingested and injected aluminum behave similarly. Aluminum’s safe because agencies say it is. (And even deeper, more foundational assumptions regarding virology and germ theory.)
Not one of these assumptions is empirically proven. Yet they form the entire foundation for aluminum safety claims that are treated as gospel and enforced with censorship, mandates, and ridicule for anyone who asks basic questions.
Conclusion and Summary
Far more people will read headlines like “Danish Study Affirms Safety of Aluminum in Childhood Vaccines” than will ever take the time to examine the actual study. And most who read the study won’t focus on the Methods section. And even fewer will ever come across a detailed critique like this one. Most will skim the headline, nod in agreement, share it online, and continue believing vaccines are unquestionably safe and necessary—while writing off anyone who challenges that belief as a “pseudoscientific quack.” (Ironically, virology itself is by definition pseudoscience).
Anyone who closely analyzes what virologists actually do in the laboratory to ‘prove’ that these particles they call ‘viruses’ cause disease, will easily see the absurdity of their conclusions.” – Dr. Stefan Lanka
But if you take a genuine, critical look at the paper—its statistical gymnastics, its convenient exclusions, and the stack of unproven assumptions it’s built on—the entire narrative completely unravels.
It’s a model-heavy, assumption-riddled, pharma-aligned justification piece backed by big numbers, expert consensus, and propagandized media headlines.
And when you zoom out even further—beyond aluminum, beyond vaccines—you land at the foundation holding it all up: virology and the germ hypothesis.
The vaccine paradigm depends entirely on the assumption that pathogenic viruses have been isolated, purified, and causally linked to disease and that healthy people become sick when exposed to sick people or their bodily fluids. But this has never been empirically demonstrated.
That’s not my opinion, either. Simply look into the foundations for yourself. No verified independent variable. No properly controlled transmission studies. No actual proof of causation.
So ask yourself: What exactly are we still debating?
It makes no sense to argue about aluminum adjuvant safety if there’s no proven pathogen to vaccinate against in the first place. And it makes even less sense to argue over much else related to vaccines if the entire justification for vaccines is scientifically bankrupt to begin with. What we’re actually confronting is a belief system—held together not by empirical evidence, but by consensus, coercion, media-driven propaganda, and institutional authority.
And unless we’re willing to examine the assumptions that built this belief system, we’ll keep mistaking its collapse for a sign of its strength.
For a more in depth discussion of the Danish Vaccine Study, visit: aleczeck.substack. com/p/a-new-study-settles-the-vaccine-autism
Study Source: www.acpjournals.org/doi/10.7326/ANNALS-25-00997?
