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@ianmSC

12 Dec

So the BBC, with an assist from some professional misinformation specialists in universities, has gotten into the mask lies spreading game, with an atrocious article saying masks worked in Brookings County, South Dakota compared to others in SD

Here’s a thread on how they lied

They chose to start on 9/1, because they got to ignore that Brookings saw a huge increase throughout August. Starting from 8/1 shows the month long growth

At peak on 9/7 Brookings had a case rate 242% higher than Minnehaha, on 11/30 Minnehaha was only 62% higher than Brookings

They also ignored that cases were already on the way down before the mandate & the decline actually stopped and starting going up 2 weeks after the mandate

No explanation for why it wasn’t until early November that Brookings did better, and still had the highest rate in October

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IM

@ianmSC

7 Dec

Let’s look at just the past few months in Southern California

They’ve all followed the same curve, regardless of what was open. LA has never had movie theaters or indoor dining, while San Diego & Orange did.

Even w/nothing open, LA has done much worse

Rational, reasonable people might look at this and say, hmm….maybe businesses closures aren’t that important, since the trends are the same

Unfortunately, we do not have rational, reasonable people in California. So what is the state doing? Pushing what failed in Los Angeles

So let’s look at the trends in SD & OC by closures

On 11/9, San Diego’s 7-day avg was 135 cases per million, on 12/6 it was 477 per million, a 253% increase

On 11/16, Orange County’s avg was 136 per million, on 12/6 it was 407, a 199% increase

Working perfectly

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IM

@ianmSC

5 Dec

@ConceptualDoc

@ConceptualDoc I gotta tell ya, your combo of intellectual dishonesty, willful ignorance and hypocrisy is incredibly frustrating.

And the German study and links you’ve posted are much worse than “memes” because they’re essentially lying with credentials.

Leading some susceptible people into thinking they have value when they don’t.

It’s fine to not control for other variables as long as “peers” sign off.

Compliance data is inaccurate, but your anecdotal assumptions are fine.

These countries that don’t use masks at all and have lower death and case rates aren’t relevant because I say they aren’t, because their conclusions poke giant holes in my assumptions.

It’s pretty bleak and frustrating that you’re so unable to understand your own bias

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IM

@ianmSC

4 Dec

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

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

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IM

@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

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IM

@ianmSC

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

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

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