Ian Miller Profile picture
17 Oct, 5 tweets, 4 min read
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
More and more and more
So yeah, Ashish. Please stop lying to your followers.

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More from @ianmSC

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
26 Jun
@AZDHS @AlexBerenson Can you also explain how you repeatedly report more cases than tests in multiple areas?

Can you also explain how none of your positive test percentages make sense or add up?

It’s going to be super fun when you’ve reported 9-10 million cases of Covid with a population of 6.8M
@AZDHS @AlexBerenson It’ll be great, you’ll have 15,000 Covid hospitalizations with 7,800 hospital beds, hospitalization use will be at 85% and none if it will make any sense. Which is consistent with every single act of data of reporting you’ve done so far.
@AZDHS @AlexBerenson You could also explain how your antibody test percentage is 3% when you’ve already reported cases for ~1% of the total state population.

That means you’ve only missed ~2% of the cases in the state, which is literally impossible.
Read 5 tweets

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