BREAKING🚨:
Claim: Secretary Kennedy says the CDC covered up an internal study which found a 1135% increase in autism risk from hepatitis B vaccine.
Let's break down what we know about this finding.
Claim: Secretary Kennedy says the CDC covered up an internal study which found a 1135% increase in autism risk from hepatitis B vaccine.
Let's break down what we know about this finding.
1/ Initial Findings Were Preliminary and Revised
The 1135% increase figure is based on early, unadjusted data. It was reportedly seen in small subgroups, such as boys who received the vaccine at birth compared to those who got it later.
According to the CDC and peer-reviewed follow-up studies, once the data was controlled for confounding factors (e.g., low birth weight, prematurity, healthcare access, and maternal age), the elevated risk disappeared.
Verstraeten himself clarified later that the initial signal did not hold up after better data cleaning and statistical adjustments. Source: Verstraeten et al., Pediatrics, 2003.
The 1135% increase figure is based on early, unadjusted data. It was reportedly seen in small subgroups, such as boys who received the vaccine at birth compared to those who got it later.
According to the CDC and peer-reviewed follow-up studies, once the data was controlled for confounding factors (e.g., low birth weight, prematurity, healthcare access, and maternal age), the elevated risk disappeared.
Verstraeten himself clarified later that the initial signal did not hold up after better data cleaning and statistical adjustments. Source: Verstraeten et al., Pediatrics, 2003.
2/Transparency and Misinterpretation
Critics of the CDC argue that not publishing early versions of data amounts to a cover-up. However, in research, it is standard practice to withhold publication of preliminary findings until proper analysis is completed.
What some interpret as a “cover-up,” others see as an evolving analysis process—common in complex epidemiological studies.
Critics of the CDC argue that not publishing early versions of data amounts to a cover-up. However, in research, it is standard practice to withhold publication of preliminary findings until proper analysis is completed.
What some interpret as a “cover-up,” others see as an evolving analysis process—common in complex epidemiological studies.
3/Dr. Gator’s Take:
We need space for honest inquiry. If there’s a concern or signal, even if it’s small, we should study it. But scientific integrity means following the data wherever it leads, not cherry-picking results.
Truth doesn’t fear investigation—but it also requires rigorous methods, replication, and transparency on all sides of the conversation. Let’s demand better science—not just louder headlines.
We need space for honest inquiry. If there’s a concern or signal, even if it’s small, we should study it. But scientific integrity means following the data wherever it leads, not cherry-picking results.
Truth doesn’t fear investigation—but it also requires rigorous methods, replication, and transparency on all sides of the conversation. Let’s demand better science—not just louder headlines.
4/ It’s unclear to me, what exactly what was found or how the statistical analysis was conducted in this early version of the study. It’s true that proper scientific research must control for confounding factors—but it’s also true that statistical methods can be used to manipulate outcomes when there’s an agenda.
I don’t know whether this was simply poor early analysis or if there was intentional data manipulation. Either way, the only way to get answers is full transparency—release the raw and adjusted data, allow independent review, and replicate the findings.
Real science welcomes scrutiny. The public deserves honesty—not filtered conclusions.
I don’t know whether this was simply poor early analysis or if there was intentional data manipulation. Either way, the only way to get answers is full transparency—release the raw and adjusted data, allow independent review, and replicate the findings.
Real science welcomes scrutiny. The public deserves honesty—not filtered conclusions.
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