The CDC hides the data?

 Jeffrey Tucker:

Follow the Data, They Said, and Then Hid It

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It was all quite dazzling, the power of the personal computer combined with data collection techniques, universal testing, instant transmission, and the democratization of science. We were all invited to participate from our laptops to bone up on statistics, download and look, assemble and draw, manipulate and observe, and be in awe of the masters of the numbers and their capacity for responding to every trend as it was captured and chronicled in real time.

Then one day, writing at the New York Times, reporter Apoorva Mandavilli revealed the following:

For more than a year, the Centers for Disease Control and Prevention has collected data on hospitalizations for Covid-19 in the United States and broken it down by age, race and vaccination status. But it has not made most of the information public …. Two full years into the pandemic, the agency leading the country’s response to the public health emergency has published only a tiny fraction of the data it has collected, several people familiar with the data said.

Kristen Nordlund, a spokeswoman for the C.D.C., said the agency has been slow to release the different streams of data “because basically, at the end of the day, it’s not yet ready for prime time.” She said the agency’s “priority when gathering any data is to ensure that it’s accurate and actionable.”

Another reason is fear that the information might be misinterpreted, Ms. Nordlund said.

At the appearance of this story, my data science friends who have been digging through the databases for nearly two years all let a collective: argh! They knew something was very wrong and had been complaining about it for more than a year. These are sophisticated people at Rational Ground who keep their own charts and host data programs of their own. They have been curious all along about the exaggerations, the poor communication regarding the gradients of risk, the lags and holes in the demographic data on hospitalization and death, to say nothing of the strange way in which the CDC has been manipulating presentations on everything from masking to vaccination status and much more.

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The problem when the CDC does not trust the public with the data is that people have less trust in the CDC.  We are seeing that.  It is also not helpful that Big Tech tries to censor people who challenge the data that has been revealed.  Censorship sometimes has the opposite of the intended effect as it creates more questions about what they are trying to hide.