#MN #COVID19 So thanks to @EWoodhouse7, I went down the rabbit hole of looking through Minnesota data. They are one of the few states I've seen that tracks both breakthrough cases and refinfections. They also track it in a transparent way which makes it easy to follow

/1
First up, reinfection. While I'd love to see more details on these (severity/age/etc), you can see that for the most part under 2% of the cases are reinfections. This is a 7day average to smooth the data. The bumps in Feb/Mar/June bumps are unexplained and interesting.

/2
Second, breakthrough infections. This has been a steady climb higher since they began tracking, and now represents 45% of all cases in a given week. This is data reported as a sum of breakthroughs divided by sum of total cases for the week.

/3
So I figured, the pattern looks strange, right? I decided to plot it against fully vaccinated uptake in MN, and low and behold. Very similar pattern with an approximately 4 month offset. Timed failure of infection prevention in the vaxx?

/4
Finally, pulling it all together yields the following. How one can look at this data and make a case for vax immunity being better than natural immunity is just beyond my comprehension. The data is clear. NI is robust, durable, and long lasting, and is blowing doors off vaxx imm.

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More from @AWokeZombie

5 Nov
#COVID19 Here's one of my main issues with vaccination right now. This goes for all ages, but concentrating on just children right now:

- All of the Covid vaccine clinical trials removed anyone who had recovered from Covid. As a result, there's no data.

/1
- Theres still not a single piece of data, or study that looks at a vaccination cohort who also has natural immunity. Why is this?

- Kids trials were so underpowered that any "rare" adverse event will likely to have been missed.

/2
- I theorize that while combined myocarditis rate in kids might be 1 in 5000, because we lack any data that separates kids vaccinated from kids vaccinated who had natural immunity, we might be missing a big issue.

/3
Read 6 tweets
22 Oct
#US #COVID19 Poking around the FDA doc in preparation for the Oct 26 mtg for 5-11 EUA, Check out this slide. If 10 mil kids get the dose, we will have 6 mil kids with fatigue, 5 million kids with headaches, and up to a mil kids with a fever?

These are worse outcomes than CV19.
What do you suppose the death rate is for kids who have over a 102 fever? Do you think its higher than 1 in a million?
Read 5 tweets
16 Aug
This guy is becoming the worst of the worst in NJ. rivaling Albright. Total muppet. Linking a chart that has raw numbers on the left *IN THE ENTIRE US*.

Hey Shereef, how many are RSV coinfections, DO YOU KNOW?

How many are just covid positive but in the hosp for something else?
PS. guess what it did in the days AFTER this bullshit graph?

DING DING
Now compare that graph between 65+ and 18-.

Well look at that, statistically not significant. Funny, how that works!

Read 4 tweets
30 Jul
#US #COVID19 So in all the helter skelter of the last few hours, I forgot to put this out there.

North Dakota reports hospitalizations "for" covid, and they also report total hospitalizations to HHS, so i was able to go back through their database to determine the % for.

/1
Here's how it rolls up. Green is what they report to HHS as "Hospitalizations", while red are the ones that are actually in the hospital FOR covid. The delta between these two would be incidental covid (With), there for other things (pregnancy, surgery, broken bones, etc)

/2
We can then look at the splits and see how many are hospitalized for covid or with covid. In times of higher community prevalence, obviously, we could expect a higher percent of hospitalizations to be "for" instead of "with".

/3
Read 4 tweets
19 Jul
#NJ #COVID19

Took me awhile to get the data together for this. So here it goes.

If you didnt realize it when you saw these bullshit numbers. They are all a guise to push vaccines. Thats it.

I'll try to walk through this in as few tweets as possible.

/1
First up, nowhere does it make any sense to push population level numbers. Reporting these as 'effective' is just a disgusting mis-appropriation of the math. Today, 324 people tested positive. That means 8,999,676 didnt, or 99.9964%. Idiotic to present it that way? Of course.

/2
Yet, somehow the Gov and his DOH thinks it ok to just pull that out of their ass and claim it means that the vaccine is 99.99999999% effective. Here's the truth. its not.

What they failed to realize is they gave us some important data today that made this easy to fact check

/3
Read 16 tweets

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