CDC’s v-safe text mining is laughable

CDC’s V-safe Analysis: Key Findings

This article criticizes CDC’s analysis of v-safe free-text responses from COVID-19 vaccine recipients. Key points:

  • CDC only analyzed free-text responses by mapping them to already known, benign symptoms from their checkbox fields
  • The analysis ignored potential serious adverse events that weren’t part of the original checkbox options
  • There were approximately 2,500 unique serious VAERS reports from v-safe users, averaging 10+ symptoms per report
  • The CDC’s methodology used outdated text mining approaches (simple string matching) rather than modern NLP techniques
  • Multiple serious adverse events that were in clinical trial documents were not included in the analysis

V-safe Text Analysis Process

VAERS Reports from V-safe Users

Serious Symptoms Omitted from Analysis