The News-to-Death Ratio Strikes Again
by Carl Henegan and Tom Jefferson via The Brownstone Institute,
There is a peculiar arithmetic that governs modern health reporting, one that has very little to do with actu
What the Documents Show
According to research cited by Oxford epidemiologists Carl Henegan and Tom Jefferson, a similar arithmetic governed the 2009 swine flu reporting cycle, where outlets published 8,176 news stories for every single death attributed to the virus. Tuberculosis, which kills far more people annually, received less than 0.1 stories per death in the same period. The disparity was not accidental. The actual epidemiological data does not support the alarm. Since 1993, the United States has documented exactly 890 laboratory-confirmed hantavirus cases across three decades.
Follow the Money
The United Kingdom, with a comparable healthcare system and disease surveillance apparatus, recorded only 11 domestically acquired symptomatic cases between 2012 and early 2025. Nine of those cases traced not to cruise ships or exotic sources, but to exposure to pet fancy rats or rodents bred as reptile feed—a transmission vector so mundane it rarely generates headlines. Hantavirus is not primed for human-to-human spread through densely populated areas. It has no seasonal surge pattern. It does not exponentially transmit. It kills rarely enough that most physicians will encounter zero cases in a forty-year career.
What Else We Know
Yet the MV Hondius generated urgent evacuation protocols, cabin confinement, disinfection efforts, and a cascade of news alerts that treated seven cases as a harbinger. No one asked whether seven cases warranted that response magnitude. No one compared the news-to-death ratio to the actual risk footprint. The silence on these questions is the story. What remains unexamined is who benefits from this asymmetry. Media outlets benefit through engagement metrics—quarantine narratives attract clicks.
Primary Sources
- Source: ZeroHedge
- Category: Government Secrets
- Cross-reference independently — don't take our word for it.
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