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Mar 3 • 4 tweets • 2 min read
POLL:

Following the #ECMOgate scandal revealed earlier today, should the @CQCProf start an investigation into NHS intensive care units and social media accounts of intensivists to see if their bias against "antivaxxers" was linked to higher death rates?
If you missed it this is #ECMOgate
Please archive any tweets from UK intensivists containing the "antivaxxer" slur ASAP

USE THE SEARCH FORMAT
antivaxxer from:twitter_name

Paste the tweet link into archive.is then paste the link here or on telegram on the t.me/micevmutton channel

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More from @Jikkyleaks

Jikkyleaks 🐭 Profile picture
Mar 5
The #gerigate and #ECMOgate scandals just keep on coming.

In 2020 there were 32,000 less cancers diagnosed in the UK than there should have been.

Instead of being investigated for suspected cancer, they were given #midazolam

Remember to clap. Every Thursday. Overall numbers of cancer d...
Note there were 72,000 "COVID" deaths in 2020 - about 0.1% of the population.

The drop in cancers was about 10%

Therefore the COVID deaths could not account for the drop in cancers, assuming they were independent.
Data source is embedded in the graphic but in case you missed it
digital.nhs.uk/data-and-infor…
Read 5 tweets
Jikkyleaks 🐭 Profile picture
Mar 3
Extracorporeal cheese 🧀🧀🧀
#ECMOgate

Did anaesthetists (intensivists) who openly declared their hatred for "antivaxxers" on social media send them on a pathway to death?

This could be bigger than the #midazolam scandal.

THREAD.
That was the damning table. But for background let's just wind back a bit.

@caz_sampson is a self declared ICU anaesthetist. In the UK, anaesthetists run the ICUs. In the US they tend to be called intensivists.

Notice Caz's horns on her profile picture - we'll come back to it
Caz is a associate of the #muttoncrew who follow @swaledalemutton and their affiliates whose job is to "counter disinformation".

One of their techniques is to label people they don't like "antivaxxers" without defining that term.

Caz hates antivaxxers.
archive.is/5VqVw
Read 24 tweets
Jikkyleaks 🐭 Profile picture
Mar 1
New cheese 🧀🧀🧀

For those enquiring about whether hospital episode statistics confirm an increase in miscarriages... the data is early.
NHS data only goes up to March 2022.

It's massively confounded but read on.

Here is "bleeding in early pregnancy" (O20)
7-sigma increase
NHS episode statistics 2017-2022:
"Ectopic pregnancy" ICD code O00.
7 sigma increase.
NHS episode statistic 2017-2022:
"Maternal care for fetal problems"
ICD code O36.
4.7 sigma increase

There are others, e.g. diabetes (7.1 sigma increase)
Read 14 tweets
Jikkyleaks 🐭 Profile picture
Mar 1
What I've discovered over the last 3 years of this long con is that when I reveal something that is confronting but true, the #muttoncrew trolls are rolled out in force.

This is the second intensivist that is upset that they don't understand baseline miscarriage rates
So, here's a question for you #MidazolamJohnny

When Zauche presented this chart on behalf of the CDC was she misrepresenting the data, as you seem to think?

[Src: page 32: cdc.gov/vaccines/acip/…]
The pregnancy data is not only made more complicated than it needs to be, but has been thoroughly misrepresented.

More on this here with references to the recent work by @sonia_elijah @MaryanneDemasi and @jathorpmfm

arkmedic.substack.com/p/the-miscarri…
Read 4 tweets
Jikkyleaks 🐭 Profile picture
Feb 26
HAVE YOUR SAY
👇👇👇

Yesterday I put out a very important tweet thread with exclusive information on #pregnancy.

This was the thread.
I need your feedback!
This will take just a few seconds of your time.
The polls are only open for 1 day.
This is a #mousesurvey in 4 parts. Please answer all 4 questions if applicable.

Q1
Did you see this thread (i.e. the first "Cheesy debunk" tweet with the cheese emojis🧀🧀🧀) on your timeline or in your mentions?
Q2.
If you saw the thread do you remember retweeting the first (cheesy) tweet?
Read 6 tweets
Jikkyleaks 🐭 Profile picture
Feb 26
Cheesy Debunk 🧀🧀🧀...

HUGE red flags over this #pregnancy and #miscarriage paper, which is absolute junk.

We're going to dive in and show you why this should never have been published and anybody associated with it will be forever tainted.
academic.oup.com/humrep/advance…
Here's the first red flag.

Redacted tables. I have never seen this in more than 20 years reviewing papers.

This is from the actual pdf on the Hum Reprod page for the paper.
web.archive.org/web/2023022600…
Now we're going to have to assume (because the titles are redacted🤦‍♀️) that the first forest plot shows the #miscarriage rate in each study. The bigger the square the more the weighting in the study - generally more for bigger studies.

The two largest raise a massive red flag
Read 32 tweets

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