IM Profile picture
4 Dec, 4 tweets, 1 min read
If you were wondering if the CDC would start acknowledging that masks have completely and utterly failed, they’re now recommending that people wear them inside their homes, especially if you’ve been in a crowded public setting…where masks are almost always required anyway Image
Because masks are so effective and important, that you can’t believe they worked when you used them in that crowded public setting.

If at first your policies fail over and over and over again, keep failing, but even stupider this time!
Seriously, this is insanity. Masks have completely failed all over the United States. Total, unquestioned disastrous failure. So what do they do? Say they’re even MORE effective than they thought previously, and maintain that wearing them in public isn’t even enough
We are seeing, in real time, the thorough and complete discrediting of a US Government agency. There is no coming back from the pseudoscientific misinformation and lunacy the @CDCgov has put out this year. It’s unbelievable.

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with IM

IM Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @ianmSC

27 Nov
So here’s a thread on the sleight of hand that the CDC pulled with their Kansas masks “study”

Mask mandate counties are in black, no masks in orange.

Cases in the mask counties were always higher than in the non mask counties.
So here’s what they did. Instead of comparing the case rate growth from 7/3 when the mandate started, they chose to start on 7/9, AFTER the masked counties had seen a huge increase.

The 7-day average on 7/3 was 91 per 1M. On 7/9 it was 178 per 1M. They chose to start from 178.
What that allowed them to do was claim a 6% decrease since the mask mandate, because they got to ignore the 96% growth in the first week afterwards, giving themselves a higher baseline to start from
Read 6 tweets
23 Nov
Here are four Arizona counties that are all similar in population, and low density

Two have mask mandates, one never has, and one had all major cities rescind masks ending on 10/21

Since that time, Yuma has had the worst case growth despite masks & Coconino has remained high Image
Mohave and Coconino, which are relatively close, have maintained very similar growth rates, despite Mohave rescinding masks, while Yuma has far outpaced Cochise, despite both being on the Southern side

One city in Cochise has re-instated masks, but it’s not countywide
Here are the demographic breakdowns:

Yuma - Pop: 213,787 / Density: 38 per sq. Mile
Mohave - Pop: 212,181 / Density: 15 per sq. Mile
Coconino - 143,476 / Density: 8 per sq. Mile
Cochise - 125,992 / Density: 20 per sq. Mile
Read 5 tweets
13 Nov
I’ve said it before, I hear every day that masks aren’t working cause people aren’t wearing them…so I wanted to do a thread to show all the states where people aren’t wearing masks

Here we go!

First up is Ohio! No one is wearing masks in Ohio
No one is wearing masks in Michigan either
Let’s look at Utah…yup, no one wearing masks here either
Read 13 tweets
17 Oct
Ashish here, as usual, has no idea what he’s talking about and is in fact…spreading false information.

Here are the charts for the areas that Dr. Atlas referenced.

Maybe Ashish should do some research before posting incoherent junk like this tweet.
Yup, same story here too.
And some more just for fun
Read 5 tweets
2 Aug
Ok so this is a thread, but I wanted to come up with a visual way to see the difference between April in NY & NJ and today in the southern "hotspot states"

So I looked at CDC Provisional Death Counts in those areas. These will change (gray area the most), but it's still useful
I made the Y-Axis values go to the same level (8000) so you can see what happened in the Northeast vs. the south.

While there are population differences, the expected level of deaths in some of the areas are not actually that different from NYC & NJ
So with that said, here's NYC & NJ vs. Florida, which has been "the next NY" seemingly forever. ImageImageImage
Read 6 tweets
26 Jun
So Penn State does a study showing 8.7 million infections in March, which means lockdowns were months too late to matter.

CDC says cases 10x higher than reported, so ~24 million

Which means ~15.3M infections after lockdowns were in place. So uh, they don’t work.
The CDC’s 10x estimate puts iFR at ~0.5%, which is likely still way too high given their estimate is likely low given that it’s based on antibody surveys mostly conducted months ago. Not to mention T-cell immunity.

So yeah, seems like iFR is in the 0.26% range, if not lower
Which also ignores the gigantic age stratification. Wonder why this isn’t front page news!

The CDC seems to be about 2 months behind reality, so maybe there’s some hope that by August they’ll pull the placebo requirement
Read 4 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!