townhall.com
By Guy Benson
Over the holidays, the CDC informed Americans that Omicron had become the dominant COVID variant in the United States. Â A week before Christmas, headlines blared that Omicron had come to represent nearly three-quarters of new cases in the country. Â A week-and-a-half later the same experts announced a revision. Â A huge revision. Â Did we say 73 percent? Â We meant, um, 23 percent:
The CDC had previously reported that as of Dec. 18, 73% of new cases were linked to omicron. But on Tuesday, the agency revised those figures, slashing that estimate to 23% â a 50-point drop, suggesting that while the new variant was on the rise, it was not infecting people at the rate the CDC had projected…The most recent report shows that as of Dec. 25, 59% of all U.S. infections were caused by omicron. Meanwhile, delta accounted for 41% of cases during the same period.
So they said three-in-four COVID infections were Omicron in mid-December, then changed that number to one-in-four, then said that the real stat at Christmas was nearly 60 percent.  Data guru Nate Silver reacted in a stunned tweet that read, in part: “Seriously WTF?!?!? I think we have to assume the CDC’s method is crap and should be ignored going forward.”  This misfire was not merely confusing; it was actually harmful:
