V-safe data on COVID vaccine side effects from over 10 million participants was released only after ICAN's FOIA litigation forced the CDC's hand — here's what the smartphone-based monitoring system captured.
V-safe — a smartphone-based text messaging and survey tool launched by the CDC in December 2020 for monitoring Covid-19 vaccine safety. The CDC called it "the most intensive vaccine safety monitoring effort in U.S. History." According to Aaron Siri, V-safe was deliberately designed to collect data unlikely to detect serious safety signals — and when even its limited health impact data showed alarming results, the CDC tried to hide it from the public.
The CDC launched V-safe simultaneously with the first Covid-19 vaccine in December 2020. Approximately 10 million users registered, 9 million of them between December 2020 and April 2021 — the period of maximum vaccine enthusiasm before mandates, meaning users were likely vaccine supporters and hence prone to underreporting (not overreporting) harms.
V-safe collected data in two ways:
1. Check-the-box symptom options: 10 pre-selected symptoms (nausea, fatigue, etc.) that the CDC characterizes as "normal signs the body is building protection"
2. Health impact data: Whether users sought medical care, missed school/work, or could not perform normal activities — collected weekly for the first 6 weeks, then at 3, 6, and 12 months
3. Free-text fields: Open-ended narrative entries with character limits
When ICAN's firm obtained the suppressed health impact data after over two years of legal demands and two federal lawsuits, the data showed:
Siri's conclusion: Even among a pool of vaccine enthusiasts likely to under-report, nearly 1 in 13 sought medical care. If this rate didn't trigger a safety signal, V-safe was not designed to find one.
The CDC published over 40 studies on Covid-19 vaccine safety using V-safe data — but reported only the first week of health impact data in all of them, hiding the longer-term results.
The V-Safe Protocol (published November 19, 2020) identified "Adverse Events of Special Interest" (prespecified medical conditions) that the CDC specifically recognized as potential vaccine harms before launch:
Nearly all of these adverse events were also identified in: a CDC presentation (October 22, 2020), a NEJM article (July 2020), a JAMA article (October 16, 2020), and another CDC presentation (October 30, 2020) — all before the first vaccine was administered.
Despite the CDC itself prespecifying these conditions as potential harms, none of them — nor their common symptoms (e.g., chest pain for myocarditis) — were included as check-the-box options in V-safe. They were relegated to free-text fields, where:
The 10 check-the-box symptoms collected during the first week were explicitly described by the CDC as "normal signs the body is building protection." These were never safety data — they were efficacy-proxy data. Reporting them at high rates was interpreted as the vaccine "working," not as a concern.
The only genuine safety metric in V-safe — seeking medical care — showed alarming results (7.7%) and was hidden from the 40+ published studies. The CDC reported only week 1 of health impact data across all its published safety analyses.
When 7.7% of registrants — predominantly vaccine supporters — sought medical care an average of 2–3 times each without triggering a safety signal, the system's capacity to detect harm is called into serious question.
ICAN filed two federal lawsuits against the CDC to obtain the full V-safe check-the-box and health impact data. The CDC resisted for over two years. The 7.7% figure and the 25% health impact figure were released only as a result of this litigation.
V-safe was announced as a historic safety monitoring achievement. Siri argues it was designed to:
1. Collect check-the-box data for symptoms the CDC already characterized as normal (making high rates "good news")
2. Exclude the specific adverse events the CDC had preidentified as concerns from any check-the-box options
3. Limit reporting of serious events to free-text fields where rates would be undercaptured
4. Report only the first week of genuine safety data (medical care) in all published studies
5. Suppress the full results until forced by litigation
VAERS, VSD (Vaccine Safety Datalink), Post-Licensure Safety Monitoring, CDC, ICAN
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