COVID Counterpunch

NM DOH Hides Vaccine Failure by Deleting Breakthrough Cases From COVID Reports

According to a recent report in The Albuquerque Journal, the New Mexico Department of Health (NMDOH) has removed breakthrough case data from their weekly epidemiology reports after showing that more vaccinated people were getting sick with COVID.

A “breakthrough case,” according to the CDC, is when “a fully vaccinated person gets infected with COVID-19.” 

The last report, from April 18, showed that unvaccinated people accounted for 39.1% of cases, 55.7% of hospitalizations and 45.5% of the deaths in the previous month.

You read that right.

The majority of cases and deaths were in the vaccinated.

Additionally, the April 18 data showed that “during the previous four weeks, there were more cases, hospitalizations and deaths among those who had a booster than people who had only received their primary vaccine series,” according to the Journal.

So the state decided to dump the data.

“As the omicron variant started to spread, vaccinated and boosted individuals began to make up a greater share of serious cases.

In the report dated April 18, unvaccinated people accounted for 39.1% of cases, 55.7% of hospitalizations and 45.5% of the deaths in the previous four weeks. The state stopped publishing four-week vaccination reports the next week.”

Remember when the experts told us that the vaccines would prevent COVID?

Remember when the experts told us the vaccines would prevent severe illness and death? (Remember the winter of severe illness and death that was coming for the unvaccinated?)

Remember when the experts said a 60-70% vaccination rate would stop the virus in its tracks?

Remember when the experts told us that we needed to get boosted to be even more protected?

The experts, however, have been wrong, and now they are trying to hide vital data that shows this fact.

Dr. Christine Ross, the state epidemiologist, lamely explained that the decision was made to pull the data from public reports because it wasn’t an accurate indicator of vaccine effectiveness.

“The pandemic itself has become more complicated over time, there are more reinfections, there’s different adjustments that would need to be made to this type of analysis for it to continue accurately displaying risk or vaccine effectiveness.”

You don’t need to be an epidemiologist to know that when they promised prevention of infection, hospitalization and death, and the vaccine didn’t deliver, that is actually an indicator of effectiveness.

Vaccine effectiveness, or the illusion thereof, is so important to the so-called experts because they all staked their egos and reputations on it.

Rather than admit their mistakes and overconfidence in experimental vaccines, they are hiding data that goes against what they have been telling us.

Dr. Paul Fenimore, a scientist at Los Alamos National Laboratory who specializes in predictive modeling, blamed at-home testing and the lack of data about mild cases for the data bias against vaccines.

“We’re simply diagnosing more sick people who are seriously sick, and we’re missing more of the people with mild illness. Those imperfections have the character of being a bias, so that you see sort of the bad side of the coin.”

In other words, we need to dilute the data, even though the only metrics that matter are hospitalizations and death now that we know that immunity to infection is a pipe dream.

But don’t worry, just trust the scientists, says Dr. Ross.

“All I can say is, you’re going to have to trust that our goal is to present information that makes sense. And that is useful.”

According to The New York Times, COVID deaths are up 8% in the last two weeks in New Mexico, cases are up 99%, and hospitalizations are up 75%–including a 268% jump in ICUs.

According to the RealClearPolitics COVID tracker, New Mexico now ranks seventh in the nation in confirmed case fatality rate and ninth in the country in deaths per million population.

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