Before we get too far into 2021, I thought I’d write a thread recapping some of the research that came out of my lab in 2020. Most of this work was led by my talented team of graduate students, Kerrianne Morrison, @kmdebrabander, and @DesiRJones.

Back in January, a news story was published about Kerrianne’s study showing improved social interaction outcomes for autistic adults when paired with another autistic partner. https://t.co/3hct0yZ3Ly
A detailed thread about the study and a link to the paper can be found here (feel free to DM me your email address if you’d like a copy of the full paper for this study or any of our studies): https://t.co/Sc7B2ob6h0
Another paper published early in 2020 (it appeared a few months earlier online) showed that traditional standalone tasks of social cognition are less predictive of functional and social skills among autistic adults than commonly assumed in autism research. https://t.co/96HTjX75Rk
Next, @kmdebrabander led and published an innovative study about how well autistic and non-autistic adults can predict their own cognitive and social cognitive performance. https://t.co/GbDkZzNe67
Meanwhile, @DesiRJones was making huge strides highlighting how the woeful underrepresentation of Black scientists and Black autistic people within autism research affects cultural assumptions and clinical practice. https://t.co/0V1H0eS9Mt
Desi also hosted this powerful round table about the experiences of Black, Indigenous, and Latinx autistic adults. https://t.co/KNOjygLZcd
She then participated in this thoughtful podcast produced by @Spectrum about being Black in autism research. https://t.co/SnoArruJ3a
Our lab then published a paper supporting the “double empathy theory” by @milton_damian showing that traditional measures and notions of social skill, social motivation, and social cognition have almost no relation to the real-world social interaction outcomes of autistic adults. https://t.co/2ZyK3qIkr8
My lab isn’t an island, though! We continue to pursue collaborations with wonderful colleagues around the country (and now internationally as well! @cjcrompton @SueReviews among others). For instance...
I was thrilled to be part of this incisive and righteous paper led by @KristenBott about avoiding ableist language when taking about and researching autism. https://t.co/sC3MxSVdql
I’m also so lucky to continue to work with @ClareHarropPhD and colleagues examining sex differences in social and non-social attention in autistic children. We have a series of papers on this topic. Here’s the latest that came@out this year: https://t.co/BNluinj2gx
We have several other papers coming out soon, including a really important (IMO) study led by @DesiRJones testing how well an autism acceptance “intervention” for non-autistic adults reduces explicit and implicit biases about autism. Stay tuned!

More from Health

You gotta think about this one carefully!

Imagine you go to the doctor and get tested for a rare disease (only 1 in 10,000 people get it.)

The test is 99% effective in detecting both sick and healthy people.

Your test comes back positive.

Are you really sick? Explain below 👇

The most complete answer from every reply so far is from Dr. Lena. Thanks for taking the time and going through


You can get the answer using Bayes' theorem, but let's try to come up with it in a different —maybe more intuitive— way.

👇


Here is what we know:

- Out of 10,000 people, 1 is sick
- Out of 100 sick people, 99 test positive
- Out of 100 healthy people, 99 test negative

Assuming 1 million people take the test (including you):

- 100 of them are sick
- 999,900 of them are healthy

👇

Let's now test both groups, starting with the 100 people sick:

▫️ 99 of them will be diagnosed (correctly) as sick (99%)

▫️ 1 of them is going to be diagnosed (incorrectly) as healthy (1%)

👇
this simple, counter narrative fact keeps cropping up all over the world.

hospital and ICU utilization has been and remains low this year.

it's terribly curious that so few of these monitoring tools provide historical baselines.

getting them is like pulling teeth.


we might think of this as an oversight until you see stuff like this:

this woman was arrested for filming and sharing the fact that their are empty hospitals in the UK.

that's full blown soviet. what possible honest purpose does that

this is the action of a police state and a propaganda ministry, not a well intentioned government and a public heath agency.

"we cannot let people see the truth for fear they might base their actions on real facts" is not much of a mantra for just governance.


90% full ICU sounds scary until you realize that 90-100% full is normal in flu season.

staffed ICU beds are expensive to leave empty. it's like flying with 15% of the plane empty. hospitals don't do that.

and all US hospitals are mandated to be able to flex to 120% ICU.

the US is currently at historically low ICU utilization for this time of year.

61% is "you're all going to go out of business" territory as is 66% full hospital use.

can you blame them for mining CARES act money? they'll die without it.

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