CDC Lowers Its Estimate of Omicron’s Prevalence in the US

How did the CDC get this so wrong?
The Centers for Disease Control and Prevention (CDC) on Tuesday significantly lowered its estimate of Omicron’s prevalence in the US.

The CDC is now claiming Delta, not Omicron, was the dominant variant in the weeks leading up to Christmas.

CDC’s estimate for the prevalence of Omicron last week dropped significantly from 73.2% w/ a 95% prediction interval of 34-94.9% down to 22.5% w/ a 95% prediction interval of 15.4-31.5%.
12/25 estimate is 58.6% with a 95% prediction interval of 41.5-74%.
— David Lim (@davidalim) December 28, 2021

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The Hill reported:

The Centers for Disease Control and Prevention (CDC) on Tuesday significantly revised downward the estimate of the percentage of new COVID-19 infections in the U.S. caused by the omicron variant of the virus.
According to agency data, omicron accounted for about 59 percent of all U.S. infections as of Dec. 25. Previously, the CDC said the omicron variant comprised 73 percent of all cases for the week ending Dec. 18. But that number has now been revised to 22.5 percent of all cases.

What a difference 24 hours makes.
The CDC was wrong about Omicron and they suddenly shifted their guidelines on quarantine times in just a matter of 24 hours.
The CDC on Monday recommended shorter Covid isolation and quarantine time for all Americans.

The CDC made the announcement shortly after Biden said “there is no federal solution to Covid.”
With Covid cases spiking, longer quarantine times would threaten to crush airlines, hospitals and other businesses.
All of a sudden the CDC is acknowledging there is evidence people are most infectious in the two days before and three days after symptoms manifest.
The CDC made the decision to cut isolation time from 10 to 5 days in an effort to help Joe Biden and make sure there isn’t a total collapse of society under his watch.

What else is the CDC lying about for political reasons?

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