2/25
WTT MEDIA CLASS
HATE LIKE THE PRESS 101
Welcome to class everyone. Today we will learn 2 different kinds of news story. Then we will ignore the good one and go for the one that (if done enough) will create a profitable moral panic against transgender people. (Long Thread)
1/25
2/25
3/25
1. A statement that someone has said
2. Proof that they said it
3. Other views BRIEFLY at the end (which most people will not get to)
4. Lies that are presented as equal to the (optional) truth
And
5. Few/No Trans quotes or names
4/25
Almost every transphobic news report fits a "They said" model.
5/25
Lesbians going extinct due to people being trans
Subject: Transgender people existing?
Statement from: LGB Alliance
Proof they said it: Journalist interview
https://t.co/yhgCMX5DJq
6/25
Evidence: https://t.co/bwjZTHsViL
ONS figures shows UK population percentage of gay men and lesbian women rise from 2014 to 2018
(Delete this if potential profitability threatened)
7/25
Bonus point: LGB Alliance allegedly cites studies showing elevated rates of autism in transgender people. They do not link/name studies. Are they good/bad studies? Who knows?
8/25
Oh right, that is just going to be a fact in it now? That this happened? AWESOME!
Pro LGB Alliance bias established. Their word is truth now.
9/25
Number of trans people mentioned by name: 0
This report successfully makes trans people a faceless, voiceless force. References throughout of 'clashes' with feminists. No details provided (physical? verbal? WHO KNOWS?)
10/25
11/25
NEXT: The Silly Famous Source
12/25
JK Rowling says she got 3000 letters of support after essay
Subject - JK Rowling wrote anti-trans blog
Statement from: JK Rowling
Proof she wrote it: https://t.co/LjglYYp45i
https://t.co/xs3JPlv2AE
13/25
Since writing my essay, I\u2019ve received over 3000 emails thanking me for speaking up. I\u2019ve been brought to tears many times while reading, sometimes out of gratitude for their kindness, but also because many women have shared their own experiences of violence & sexual assault. 4/9
— J.K. Rowling (@jk_rowling) June 28, 2020
This story is JK tweeted words. The reporter does not have to prove JK received those letters. Only that JK tweeted those words. This is a unique privilege of the silly famous. Anything they say can be a story. Truth, lie, the reporter can use ANYTHING.
14/25
But this is not the same as it being proven. The only proven thing is JK said she did. This is not the same as proof of 3000 letters.
A "This is" story on this would need the reporter to see the 3000 letters. But that's HARD
15/25
But all news reporting is biased in some form. Unbaised reporting is a fiction.
16/25
What The Trans has a pro trans bias.
The most insidious biases live in "unbiased" outlets. But they have them too.
17/25
18/25
19/25
Number of trans people mentioned by name: 0
BUT this is where we get to say "We are allies!" because we link to a story about trans people quitting an agency they share with JK! But they could only get that because, it is still about JK...
20/25
21/25
22/25
23/25
"Christians say Labour councils want book about gay parents in all schools" + "Thatcher says children shouldn't have right to be gay" = Section 28
Oh that's right. You see, if you do this long enough...the government will legislate
24/25
Welcome to the free press.
Congratulations!
You have passed HATE LIKE THE PRESS 101. Please use this to spot awful shit and not create your own? Please?
25/25
But you used JK Rowlings claim, took it as truth and then republished loads of her transphobic crap.
And again, talking about trans issues for this many words without speaking to a single one?
If you did a report on posties with no posties...
I can't know this for sure. But if I had to bet....I would bet that you knew of all the inaccuracies.
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When the university starts sending out teaching evaluation reminders, I tell all my classes about bias in teaching evals, with links to the evidence. Here's a version of the email I send, in case anyone else wants to poach from it.
1/16
When I say "anyone": needless to say, the people who are benefitting from the bias (like me) are the ones who should helping to correct it. Men in math, this is your job! Of course, it should also be dealt with at the institutional level, not just ad hoc.
OK, on to my email:
2/16
"You may have received automated reminders about course evals this fall. I encourage you to fill the evals out. I'd be particularly grateful for written feedback about what worked for you in the class, what was difficult, & how you ultimately spent your time for this class.
3/16
However, I don't feel comfortable just sending you an email saying: "please take the time to evaluate me". I do think student evaluations of teachers can be valuable: I have made changes to my teaching style as a direct result of comments from student teaching evaluations.
4/16
But teaching evaluations have a weakness: they are not an unbiased estimator of teaching quality. There is strong evidence that teaching evals tend to favour men over women, and that teaching evals tend to favour white instructors over non-white instructors.
5/16
1/16
When a teaching award is based solely on teaching evals and then only men get it. pic.twitter.com/szIBkCvTe9
— Dr. Marissa Kawehi (@MarissaKawehi) February 12, 2021
When I say "anyone": needless to say, the people who are benefitting from the bias (like me) are the ones who should helping to correct it. Men in math, this is your job! Of course, it should also be dealt with at the institutional level, not just ad hoc.
OK, on to my email:
2/16
"You may have received automated reminders about course evals this fall. I encourage you to fill the evals out. I'd be particularly grateful for written feedback about what worked for you in the class, what was difficult, & how you ultimately spent your time for this class.
3/16
However, I don't feel comfortable just sending you an email saying: "please take the time to evaluate me". I do think student evaluations of teachers can be valuable: I have made changes to my teaching style as a direct result of comments from student teaching evaluations.
4/16
But teaching evaluations have a weakness: they are not an unbiased estimator of teaching quality. There is strong evidence that teaching evals tend to favour men over women, and that teaching evals tend to favour white instructors over non-white instructors.
5/16
Normally I enjoy the high standards of journalism in @guardian . Not today as disappointed with misleading headline that suggest infections are spreading fastest in children. It'll worry parents/teachers & I doubt most readers will unpick the
The latest REACT1 report shows prevalence of infection in ALL age groups has fallen, including children aged 5-12 from 1.59% in Round 8 to 0.86% in Round 9a. The authors of REACT1 report also (wisely) didn't try to interpret the prevalence figures.
If this were a research trial you wouldn't place much weight on the age differences in % prevalence because of the wide confidence intervals, i.e. differences weren't statistically significant.
3/
I've previously tweeted on the challenges (& dangers) of interpreting surveillance data. One would need lots more contextual info to make sense of it & arrive at sound
Undoubtedly some will extrapolate from the prevalence of infection figures in children to other settings i.e. schools based on the headline. I'd advise caution as there is a real risk of over-interpretation through extrapolation of limited data. Association is not causation.
5/
The latest REACT1 report shows prevalence of infection in ALL age groups has fallen, including children aged 5-12 from 1.59% in Round 8 to 0.86% in Round 9a. The authors of REACT1 report also (wisely) didn't try to interpret the prevalence figures.
If this were a research trial you wouldn't place much weight on the age differences in % prevalence because of the wide confidence intervals, i.e. differences weren't statistically significant.
3/
I've previously tweeted on the challenges (& dangers) of interpreting surveillance data. One would need lots more contextual info to make sense of it & arrive at sound
Misinterpretation of surveillance data is a serious issue. Surveillance data needs to come with a warning label - Open to biases - interpret with caution! Some may not realize that surveillance often does not measure all infection, it's a proxy for actual disease incidence.
— Andrew Lee (@andrewleedr) February 14, 2021
1/
Undoubtedly some will extrapolate from the prevalence of infection figures in children to other settings i.e. schools based on the headline. I'd advise caution as there is a real risk of over-interpretation through extrapolation of limited data. Association is not causation.
5/
