Paragraph 1: The Viral Claim and Its Shocking Premise
In the ongoing world of health misinformation, few topics ignite as much fear and confusion as the intersection of pregnancy and vaccination. A recent social media post by political commentator Katie Pavlich took this to a new extreme, claiming that the COVID-19 vaccines functioned as an “abortion shot” for pregnant women. The post, citing newly released documents discussed by Senators Johnson and Paul, alleged that an 81% or 82% miscarriage rate was hidden within early clinical and surveillance data. To anyone reading that headline, the implication is terrifying: that a widely recommended medical intervention was secretly causing catastrophic harm to unborn children. However, this claim is not just misleading—it is a complete distortion of what the data actually says. The “81%” and “82%” figures are not findings from any legitimate scientific study. Instead, they are the result of a persistent, calculated misuse of early, incomplete datasets that were still in the process of being collected. When you strip away the inflammatory language and look at the actual numbers, a very different picture emerges—one where the vaccines did not cause a spike in miscarriages, and where the real risk to pregnant women lay in contracting the virus itself. To understand how this myth was born and why it refuses to die, we must walk through the two primary sources these claims cite, dissect the mathematical sleight of hand used to twist them, and then look at the comprehensive scientific consensus that has since settled the matter definitively.
Paragraph 2: The Shimabukuro Study and the 82% Misrepresentation
The first major source of this misinformation is a study published in the New England Journal of Medicine (NEJM) in April 2021, often referred to as the Shimabukuro study, named after the lead author. This research used data from the CDC’s V-safe Pregnancy Registry, which tracked the health outcomes of thousands of pregnant women who received the Pfizer or Moderna mRNA vaccines between December 2020 and February 2021. This was a critical early window when the vaccines had just been authorized under Emergency Use Authorization, and real-world safety data was desperately needed. The study itself was reassuring. Looking at Table 4, you will find that out of 827 completed pregnancies in the registry at that time, there were 104 spontaneous abortions (miscarriages) occurring before 20 weeks of gestation. This works out to a miscarriage rate of approximately 12.6%. That number is entirely consistent with the baseline miscarriage rate observed in the general population, which typically ranges from 10% to 20%, depending on the age and health profile of the women studied. So where does the 82% figure come from? It comes from a deliberate mathematical error where critics removed 700 women from the denominator. These 700 women were vaccinated in their third trimester, meaning they had already passed the point where miscarriage is biologically possible. By tossing them out, the critics divided the 104 miscarriages by only the remaining 127 women (827 minus 700), producing a staggering 81.9%—which rounds to 82%. This is a fundamentally flawed approach. You cannot retroactively exclude a group of women who have no risk of a certain outcome to inflate the rate among those who do. The study tracked all pregnancy outcomes for everyone in the registry, regardless of when they were vaccinated. Furthermore, there is a well-known statistical bias at play here: early miscarriages resolve quickly and are reported early, while healthy pregnancies take nine months to reach their conclusion. At the time the data was cut off, a disproportionate number of the “completed” pregnancies were those that ended in early loss, simply because those outcomes happen faster. Healthy pregnancies from the same period were still ongoing and simply hadn’t “completed” yet by the time the data was frozen.
Paragraph 3: The Pfizer 5.3.6 Data and the 81% Calculation
The second source of this claim comes from an entirely separate document: a Pfizer safety report labeled “5.3.6 Cumulative Analysis of Post-authorization Adverse Event Reports,” which covered data collected through February 2021. This document was not a peer-reviewed study; it was a regulatory filing compiling spontaneous adverse event reports from the public, which is a notoriously incomplete and self-selected dataset. Within this report, Pfizer listed 270 pregnancies that had been reported to them following vaccination. The critical detail here is that, at the time the report was compiled, 238 of those pregnancies had no outcome reported whatsoever—meaning the women had not yet given birth, had not reported a loss, or had simply lost contact with the reporting system. This leaves only 32 pregnancies with a known outcome. Among those 32, there were 28 reported losses and one normal live birth. Here is where the numbers get even more confusing for the conspiracy theorists. The 81% figure is derived by dividing the 28 lost pregnancies by the 32 known outcomes. But 28 divided by 32 is 87.5%, not 81%. So the very claim being made doesn’t even match the calculation it supposedly relies on—a glaring mathematical discrepancy that suggests the figure was either pulled out of thin air or mangled by sloppy copy-paste from earlier misinformation. More importantly, the calculation itself is invalid because it entirely ignores the 238 pregnancies with unknown outcomes. Those 238 women did not disappear; they simply hadn’t finished their pregnancies when the data was collected. If you calculate the rate honestly by looking at all 270 reported pregnancies, you find that 28 losses out of 270 total pregnancies equals about 10.4%. While this is not a true population-based miscarriage rate (because adverse event reports are biased toward negative outcomes and underreport live births), 10.4% is perfectly within the normal range and does not signal an elevated risk. The fact that early pregnancy losses dominate the small pool of “known outcomes” is again due to the speed of resolution—a woman vaccinated in her first trimester who miscarries will report that quickly, but a woman vaccinated in her first trimester who has a healthy pregnancy will not appear in the completed data until she gives birth eight months later.
Paragraph 4: The Human Tendency to Read Fear into Statistics
To humanize this issue, let’s step back from the spreadsheets and think about why this misinformation is so stickily persuasive. Pregnancy is a time of immense anxiety for most women, surrounded by a cacophony of conflicting advice about what to eat, what to do, and what to avoid. The loss of a pregnancy is a devastating personal tragedy, and the idea that a doctor might recommend a shot that increases that risk is a deeply emotional and frightening thought. The people who spread this 81% and 82% claim are exploiting that primal fear. They know that most readers will not open the underlying PDFs or do the long division themselves. They rely on the fact that a number like “82%” feels decisive and damning, even when it is mathematically absurd. When we dig into the data, we find that the 82% figure is not a result—it is an artifact of selection bias. The misinformation takes a snapshot of a moving process and assumes the frozen frame is the final outcome. If you visit a hospital maternity ward and count only the rooms where women are in active labor, you might conclude that 100% of pregnant women are in labor at any given moment. The same logical fallacy applies here. The early data captured a moment where many of the pregnancies were still in progress. The fact that some ended in miscarriage is tragic, but it is a statistical certainty of pregnancy itself. Furthermore, it is important to recognize that the “Pfizer 5.3.6” document and the Shimabukuro study are not independent corroborating sources of a scandal; they are simply two different ways of looking at the same early, incomplete, and unrepresentative snapshot. The coincidence of both producing numbers in the “80s” only occurred because the critics applied the same flawed methodology—removing all the women who hadn’t yet had a poor outcome—to both datasets. It’s like betting on a horse race and only counting the horses that have already fallen, then claiming the fall rate is 100%.
Paragraph 5: The Definitive Answer from the 2023 Meta-Analysis
So, what does the actual scientific consensus look like? If we fast-forward from those chaotic early months of 2021 to February 2023, we see a comprehensive and massive research paper published in a peer-reviewed journal that settled this question with overwhelming clarity. Researchers conducted a meta-analysis, which is essentially a study of studies. They pooled together data from 21 separate scientific investigations—including five clinical trials and sixteen observational studies—covering approximately 150,000 pregnant women who had received COVID-19 vaccines. This is an enormous dataset that dwarfs the 827 women in the Shimabukuro study and the 270 in the Pfizer report. The analysis asked one direct question: Does COVID-19 vaccination increase the risk of miscarriage? The answer, published in the February 2023 edition, was a resounding “No.” The researchers calculated a 9% miscarriage rate among the vaccinated women (specifically, 14,749 miscarriages out of 123,185 pregnancies where the outcome was available). This 9% figure is actually lower than the general population baseline risk of miscarriage, which hovers around 10-15%. This does not mean the vaccine protected against miscarriage; it simply confirms that the vaccine does not cause it. The statistical noise, demographics, and slight variations in study design account for the difference between 9% and 12%. What this meta-analysis proves is that when you have enough participants and enough time to follow all pregnancies to their natural conclusion—including all the live births—the terrifying 82% number shrinks back down to the ordinary, everyday, heartbreaking reality of pregnancy loss that existed long before COVID-19 ever came along. The 2023 study strongly emphasized the safety of mRNA vaccines during all trimesters, providing the level of evidence that physicians needed to confidently recommend vaccination to their pregnant patients.
Paragraph 6: The Real Danger and the Path Forward
When we humanize this story, we realize that the greatest tragedy here is not a hidden vaccine conspiracy, but the real-world consequences of spreading this false information. By shouting “82% miscarriage rate” without context, these claims have likely caused real women to avoid vaccination. The data, however, is clear that COVID-19 infection during pregnancy poses a significant risk to both the mother and the fetus. Pregnant women are at a substantially higher risk of severe illness, ICU admission, and mechanical ventilation compared to non-pregnant women of the same age. Furthermore, having a severe COVID-19 infection during pregnancy can increase the risk of preterm birth and other complications. The decision to forgo a vaccine based on a misread spreadsheet could therefore lead to outcomes that are far worse than the negligible risk the vaccine itself poses. The 81% and 82% figures are not evidence of an “abortion shot”; they are evidence of a profound misunderstanding of statistics, a lack of patience for incomplete data, and a disturbing willingness to weaponize human grief for political clout. As we move forward, the best remedy for this misinformation is compassion combined with clarity. We must acknowledge the very real fear that pregnant women face, and then gently walk them through the math, showing them that early data snapshots are not final verdicts. We must celebrate the fact that the scientific process worked: researchers saw the early data, flagged it for further investigation, and ultimately published a massive, conclusive meta-analysis confirming safety. In the end, the truth is not complicated. The vaccines were tested, monitored, and validated. The miscarriage rate for vaccinated women is indistinguishable from the background rate of pregnancy loss. And the real threat to pregnant women is the virus itself, not the vaccine designed to fight it.