RT @[email protected]

This community levels map is based on calculations that they claim will let us know when COVID is overwhelming our health systems. So Instead of telling you if you are likely to get or spread Covid, this map tells you whether you could access a hospital bed, should you need it.

🐦🔗: https://twitter.com/PeoplesCDC/status/1602376952500916224

People's CDC on Twitter

“This community levels map is based on calculations that they claim will let us know when COVID is overwhelming our health systems. So Instead of telling you if you are likely to get or spread Covid, this map tells you whether you could access a hospital bed, should you need it.”

Twitter

"Instead of telling you if you are likely to get or spread Covid, this map tells you whether you could access a hospital bed, should you need it."

Except it doesn't. It only tells you whether the beds that aren't currently available to you are filled with [official] COVID cases.

Here's the actual state of US hospitals as of last update.

Capacity nationwide is critically low, bearing no resemblance to CDC "community levels."

"Of 129 (+55) counties ≥ 100% capacity per HHS data, only SIX are CDC High "Level"; just 35 are Medium."

https://twitter.com/beadsland/status/1600648422591078400?t=8WUImYXhHihrZYYFOe_ApQ&s=19

"You do you" is Eu-gen-ics. on Twitter

“That few beds count as "covid" doesn't mean space is available if you get sick or injured. Of 129 (+55) counties ≥ 100% capacity per HHS data, only SIX are CDC High "Level"; just 35 are Medium. Those ≥ 90% up—375 (+162). For counties with ICUs, 18% are full. #ThisIsOurPolio”

Twitter

And again, it's not only the CDC obfuscating data. It's also that much of the state-level criteria for counting COVID hospitalizations was severely curtailed, artificially lowering the official total. Which in turn keeps the CDC "level" artificially low.

https://twitter.com/sleepyknave/status/1513927080488181762?t=TMz5MGUgnmenqoAS-r7BPQ&s=19

Sharyn Blum on Twitter

“In New Hampshire, patients are only counted as COVID hospitalizations if they're receiving one of two specific medications: one that's COVID specific and often hard to access, the other used only for those experiencing severe respiratory distress. https://t.co/kNJtsc3DOz”

Twitter

These are the only 2 hospital metrics in the CDC "community levels":

-New C19 admissions per 100K population (7-day total)
-% staffed inpatient beds occupied by C19 patients (7-day avg)

Even if all cases, it CAN'T tell you the full state of a hospital.

https://twitter.com/sleepyknave/status/1497347566123556870?t=T2pXziVaaASKvtSdVle2Wg&s=19

Sharyn Blum on Twitter

“Here's the new fancy math they're peddling, which absolutely does not aim to reduce C19 cases so much as it aims to reduce economic & social disruption. Which will happen anyway if they don't focus on reducing transmission & remove mitigations. Full alt: https://t.co/OEiKW9Cbzb”

Twitter

Anyway, I did a whole meta-thread about the data obfuscation and how it's all interrelated back in April, so here's that again, since it only gets more and more relevant.

Who is being counted AND who is left out always matters in data collection. Always.

https://twitter.com/sleepyknave/status/1514240104696532997?t=TMz5MGUgnmenqoAS-r7BPQ&s=19

Sharyn Blum on Twitter

“This thread uses MD data to explain, but it's not only about MD. There is a widespread push that is artificially reducing COVID numbers of all kinds. If you don't know how your region's health authorities are counting COVID hospitalizations, now is the time to demand an answer.”

Twitter
Sharyn Blum on Twitter

“Your regular reminder that #CDCKills.”

Twitter
Sharyn Blum on Twitter

“I am so, so tired of even having to correct the Good Guys™ on obvious shit. There's no excuse for this one after 10 months. When you grant the CDC's [exaggerated to the point of false] claim of what the map shows, you're giving credence to their claims and perpetuating misinfo.”

Twitter