Even AI Knows This CDC Study "Disproving" Cardiac Deaths Due to mRNA Vaccines is Total BS
Here's what GPT has to say about the study now being blasted on social media to discredit so-called "right wing covid vaccine conspiracy theorists."
Here’s the smarmy headline blaring from the MSNBC website:
The CDC just killed another right-wing Covid vaccine conspiracy theory
The Centers for Disease Control and Prevention released a new study showing no link between Covid-19 mRNA vaccines and cardiac arrest in young people.
And here’s the link to the study:
https://www.cdc.gov/mmwr/volumes/73/wr/mm7314a5.htm
Assessment of Risk for Sudden Cardiac Death Among Adolescents and Young Adults After Receipt of COVID-19 Vaccine — Oregon, June 2021–December 2022
And here’s the unedited response when I plopped the text of that study into GPT4 and asked:
please analyze this study and find the flaws in it
Analyzing the presented study critically reveals several potential flaws or limitations that could impact its findings and interpretations:
Small Sample Size for Specific Outcomes: The study identifies only three deaths within 100 days after mRNA COVID-19 vaccination1 among individuals aged 16–30 years. This small number limits the statistical power to detect a true difference or association between vaccination and sudden cardiac death, especially for a rare outcome.
Potential Underreporting: The study relies on death certificates and the ALERT Immunization Information System (IIS) for data. The accuracy of this approach depends on the completeness and correctness of the data entered into these systems. Misclassification or underreporting of vaccination status or cause of death could bias results.
Lack of Control Group: There is no direct comparison with a control group of unvaccinated individuals in the same age bracket, which would help to more accurately assess if the observed deaths are indeed atypical or higher than expected in a similar population without vaccination.
Limited Follow-up Duration: The cut-off at 100 days post-vaccination might not capture adverse events occurring beyond this period. While the report mentions that adverse events are more likely within 42 days post-vaccination, longer-term effects or late-onset conditions could be overlooked.
Exclusion of Certain Causes of Death: By focusing on cardiac or undetermined causes of death, the study may miss other vaccine-related adverse events leading to death.
Generalizability: The study is conducted within Oregon, and findings might not be generalizable to other regions or populations with different demographics, health behaviors, or vaccination rates.
Non-specific Outcome Definitions: Terms like "sudden death" or "undetermined" causes are broad and could encompass a variety of etiologies. Without more specific criteria, it's challenging to definitively attribute these deaths to cardiac issues related to vaccination.
Confounding Factors: The report does not comprehensively address potential confounding factors such as underlying health conditions (beyond noting that two of the deceased had chronic conditions), socioeconomic status, or lifestyle factors that could influence both the likelihood of vaccination and risk of sudden cardiac death.
Passive Surveillance Limitations: The reliance on passive surveillance systems like VAERS for background information introduces inherent biases, including underreporting and the lack of verified causality between vaccination and adverse events.
Comparison with Background Mortality Rates: While it mentions background mortality rates for heart diseases among Oregonians aged 15–34 years, it does not directly compare these rates with the observed deaths post-vaccination to contextualize the findings within normal variation.
Addressing these limitations would require a design that includes larger populations, longer follow-up periods, active surveillance mechanisms for adverse events, control groups for comparison, and more detailed analyses of potential confounders to provide clearer insights into the safety profile of COVID-19 vaccines regarding sudden cardiac death among young individuals.
To calculate the number of occurrences out of a total population, we can use the following formula:
Number of occurrences = (Percentage / 100) * Total
In this case, the percentage is 0.23% and the total population is 40 million (US children who got covid vaccines).
Number of occurrences = (0.23 / 100) * 40,000,000
Calculating this, we find that 0.23% of 40 million is approximately 92,000.
Therefore, 3 out of 1,292 is approximately equivalent to 92,000 out of 40 million. (That’s 92,000 possible deaths within 100 days of covid vaccination for kids under 18.)