I want to share my thoughts, as someone who has been so alarmed by the so-called "dissident" scientists like Gupta, Heneghan, Kuldorff, Bhattacharya, & Ioannidis who consider themselves brave Galileos unfairly treated by "establishment scientists." I will try not to swear. 1/n

I want to talk about 3 things:
‼️Their fringe views are inhumane, unethical junk science that promotes harm
‼️They complain that they've been marginalized but this is simply untrue
‼️I am sick of people telling me we have to "listen to both sides." There aren't 2 sides here 2/n
These 'dissident' scientists have consistently downplayed COVID-19, urging policymakers not to take aggressive control measures. They claim it is not a serious threat. Gupta even went on TV saying people under 65 shouldn't worry about it!

RECEIPTS ⬇️3/n

https://t.co/GyfV528Y9T
They have consistently argued that policymakers should just let the virus rip, in an attempt to reach herd immunity by natural infection. Kuldorff *continues* to argue for this even now that we have many highly effective, safe vaccines.

RECEIPTS⬇️4/n

https://t.co/QCaWS6xXXv
We've never controlled a deadly, contagious pandemic before by just letting the virus spread, as this approach kills & disables too many people. In Manaus, Brazil, 66% of the city was infected & an astonishing *1 in 500* people died of COVID-19

5/n

https://t.co/72g0qmGE1N
Gupta, Kuldorff, & Bhattacharya argue that we must let the virus rip while locking away the vulnerable, a grotesque dystopian view. Here's who you'd have to lock away: elderly people; medically vulnerable people; people of color; disabled people. 6/n

https://t.co/NPh1f977T2
Let's not forget: these authors were funded by corporate interests. It's Merchants of Doubt all over again. Corporations want to see "opening up of society" and they fund academics to push a pro-corporate view.

RECEIPTS⬇️7/n

https://t.co/BrUD4FP6lc

https://t.co/MmlCuiZ5km
Now to the silly notion pushed by these edgy "dissident" scientists that they've faced censorship for being Galileos. OK, this is when I may swear a little bit.

Are you f**king kidding me?

Since the start of the pandemic, every time you turn on your bloody TV there they are 8/n
In fact, they've had the largest megaphone of all: THEIR VIEWS HAVE BEEN ADOPTED IN THE USA BY TRUMP AND IN BRITAIN BY JOHNSON.

Don't give me your bullshit about how they've been marginalized. Their views = Trump policy & Johnson policy.

RECEIPTS 9/n

https://t.co/NuF34J8edm
These dissidents did all they could to shape Trump's policies; looking at the cases now in the US, they got what they wanted. In Scott Atlas, Trump's coronavirus czar, & in Florida's governor, they found champions

RECEIPTS⬇️10/n

https://t.co/EmvkR01xdy

https://t.co/wnjWu6aj22
Time & again, these fringe views BECAME Trump's policies or Johnson's policies. So when you say "well, debate is important & it is critical to hear all views," I agree that debate matters but these nihilistic views won the day in US/UK policymaking 11/n

https://t.co/6ksS0QOi1q
There are East Asian & Pacific Rim nations that have controlled the virus, without even a vaccine. They used science-based measures, acted fast, had great leaders. They listened to @who & did test/trace/isolate/support. The US/UK ignored these successes & here we are today. 12/n
Last, I cannot tell you how many times I have been scolded & reprimanded for "not giving the Great Barrington Declaration authors serious consideration." Two Duke professors, for example, told me academics like me must stay open minded & universities must show both sides 13/n
I respectfully disagree. THERE AREN'T 2 SIDES. The public health science on pandemic control is established, & nations that followed the science did better, both from a health AND economic view. Shouldn't we be basing policy on, um, science? We need VACCINE herd immunity FFS. END

More from Science

@mugecevik is an excellent scientist and a responsible professional. She likely read the paper more carefully than most. She grasped some of its strengths and weaknesses that are not apparent from a cursory glance. Below, I will mention a few points some may have missed.
1/


The paper does NOT evaluate the effect of school closures. Instead it conflates all ‘educational settings' into a single category, which includes universities.
2/

The paper primarily evaluates data from March and April 2020. The article is not particularly clear about this limitation, but the information can be found in the hefty supplementary material.
3/


The authors applied four different regression methods (some fancier than others) to the same data. The outcomes of the different regression models are correlated (enough to reach statistical significance), but they vary a lot. (heat map on the right below).
4/


The effect of individual interventions is extremely difficult to disentangle as the authors stress themselves. There is a very large number of interventions considered and the model was run on 49 countries and 26 US States (and not >200 countries).
5/
What is going on at SWANSEA UNIVERSITY in Wales?
1.
https://t.co/d5NKtNlxxa
Sounds as if its connected to Bill Gates "LUCIFERASE" Vaccine?

2.
https://t.co/k0w1mjaPg0

"HILLARY RODHAM CLINTON SCHOOL OF LAW"
- AT SWANSEA UNIVERSITY!!!


3.
https://t.co/jifuWq6cGq
Remember all those FIRES, over the Summer!!!

4.
https://t.co/H3lstFyYx8
WUHAN PARTNERSHIP

"Links between Swansea & Wuhan date back to 1855 when Swansea missionary Griffith John founded the Wuhan Union Hospital.
This relationship was strengthened when representatives of the two cities signed an agreement".


5.
https://t.co/5b1JqiEQzi
Swansea University Strengthens Links with China
This is a thread on statistics in science: 1/7 (via @LogicofScience)

Basic Statistics Part 1: The Law of Large Numbers https://t.co/wUH8eAAIak

#Science #Statistics


Basic Statistics Part 2: Correlation vs. Causation

https://t.co/Azhyl8pDsX (2/7)

Basic Statistics Part 3: The Dangers of Large Data Sets: A Tale of P values, Error Rates, and Bonferroni Corrections

https://t.co/LetN6aEBRM (3/7)

Basic statistics part 4: understanding P values

https://t.co/K8MMMgTCOf (4/7)

Basic Statistics Part 5: Means vs Medians, Is the “Average”

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