BC SOCIETY
Saved by @CodyyyGardner

I want to add an addendum to this thread from the other day to show why publishing an n=1 is so bad. It's because I can likely identify and put a name to this student.

(I'm not going to do that here but I am going to show you how easy it is.)

 To do that, let's talk about the IPEDS data set. IPEDS is a US database that contains a range of information about US universities, such as enrollment, test scores, graduation rates, etc.

One notable data table shows graduated students by major and ethnicity.
(FYI, here is the IPEDS data: https://t.co/K4OwsyLLsE It's an open database so you can explore at your leisure.)
Back to the "Completions" table which shows ethnicity by major. This happens to line up with the n=1 from the offending article which identified a student by their ethnicity and major.
Sorry, the n=1 was year in school and ethnicity but I've now used the IPEDS data to find out their major. Linking datasets on minority populations is very very powerful.
At this point, I can do a little digging either by department "happy graduation" announcements or even the graduation program to winnow the list down to all of the majors for that degree for the year. Now it's a matter of figuring out which minority student is the n=1.
This may not be foolproof to get me the exact name of the student, but using only publicly available data I've gotten *really* close to identifying them.
Again, I'm not actually doing this to identify that n=1 student but rather I want to show you how easily it can be done. Give me 30 minutes and I will have a list of potential names, and if one name is not "white" I might actually have THE name.
This is the danger of publishing n=1. I CAN IDENTIFY THAT STUDENT FROM PUBLICLY AVAILABLE DATA. It's not that hard.
All that tells me is that they were in the study, not actually what they did at the library.

BUT it also tells me that you don't care enough to protect the identities of your minority students.
And it tells me that the journal and peer reviewers don't know enough about de-identification and re-identification to prevent a paper with n=1 to be published.
So if you were curious in my thread from the other day about why n=1 is so bad, this is why. I have enough information to identify a student in the study by name.
I would really really like this to be the last time I have to write a thread like this or do an exercise to potentially identify a student who in NO WAY deserves to be identified just because they use the library.
So let's never published n=1 ever again. Basically, if your n's are under 10, you should see a red flag and either group small n's together or obscure the data in some way (e.g. "n<20").
I'll end with the fact that none of this is okay. In any field but especially in a field that is supposed to protect patron's privacy. We need to do better. All of us. Researchers, writers, reviewers, editors, etc. to make sure this doesn't happen again.
And finally, thanks to @hedgielib and @IandPangurBan who suggested I add this information on exactly how easy it is to identify someone by name in a published example of n=1.

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Real talk.

The right as spent years trying to paint @NancyPelosi & @HillaryClinton as extreme leftists who will take your guns, sterilize your sons, outlaw Christianity, and tax you at 80%.

Meanwhile...

The far left has tried to insist that they were both Republican-lite.

1/

Some on the far left call them war mongering neoliberal corporate owned whores.

That's on a good day, for both.

None of these charges, by either side, are remotely true of course. Not that this matters to the people putting this shit out there.

2/

The facts are these.

@HillaryClinton and @NancyPelosi have been fighting people, usually white men, for tnings their entire lives.

With little respite.

At times they have had to make impossible choices and compromises just to beo let in the door. Most women have.

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It must be easy to be some 26 yo white dude who has never had anyone tell him no his whole life to sit in judgement of women like them.

"How dare she..."

...do what was necessary to get a place at the table.

...do exactly what men have been doing w/o your disapproval.

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Let's face it, most men suck when it comes to issues that don't pertain directly to their own self interests. White men are even worse. We just are.

Most men especially suck when it comes to women's issues and I mean really suck.

How many left leaning men fell to #MeToo?

5/
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The Nashville Operation - A Battle in the War

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SolarWinds Hack

A digital "Pearl Harbor" moment for the United States, whoever was responsible had access to the keys to the kingdom for months during 2020, including sensitive military infrastructure. This is war!

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https://t.co/U3P3SrrkM1


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In Nashville, around the corner from their "big pipe" connection, AT&T. Like any data center, highly secure. Only authorized personnel can enter, and even fewer can access the actual server rooms. Backup generators are available in case of power failure.


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Abir Ballan \U0001f60a
Abir Ballan 😊
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I have just received information about a family that has locked up their child at home in isolation because she complained of some aches in her body. They suspected the child as having C19. She was tested and after a couple of days, the test came out negative. 1/n

The girl has already been in isolation for 4 days. Now they are waiting to do another PCR test today to check again because they fear that the first test was done too early and it didn't detect covid. So this little girl will remain in isolation for at least another 24 hrs. 2/n

This is idiocy. Insanity. Ignorance. Cruelty. Simply a crime against children.
The stupid fear and the stupid policies are driving parents to abuse their children. 3/n

Children are not the main source of C19 transmission.

"transmission of SARS-CoV-2 from children under 14 years of age was minimal in primary schools"
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Capitalism demolishes society and, with it, itself.

A thread.

1/

Prior to capitalism, there were plenty of elite-centric, exploitive systems in place. European and Japanese feudalism. Roman mass slavery. The corvee labor of the ancient hydraulic state. Etc.

2/

But as exploitive and repressive as these systems were, they still retained some sense of mutual obligation among classes. Elites depend on the masses to survive and thrive. You can only exploit them up to a certain point, beyond which you threaten your own labor supply.

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Consider this quote from Kenneth Jupp on European feudalism. Feudalism entailed *mutual obligations* between rich and poor.

4/


These obligations were not equal, uniform, or always universally respected. But they were at least *there.* In return for labor and agricultural surplus, a feudal lord was obligated to protect his villeins, provide them justice, and respect their usufruct land rights.

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THREAD: Almost a year into the launch of Aarogya Setu, there is still little to no public data on its benefits. Yet, many of its flaws are well documented. Now it's going to be used for vaccine rollouts despite meager progress in public

Experts have been warning us about Aarogya Setu's capacity for surveillance. Post integration with COWIN, it will likely become a permanent part of our health data landscape. We've written to the NIC with key concerns, because here's what we've learnt in 1 year:
2/n

To justify violation of privacy, necessity and proportionality have to be proven. Aarogya Setu has disregarded these principles - we know because we analysed its Data Protocol, which MeitY released after public pressure. It fails to satisfy the basic threshold of legality.
3/n

A lack of transparency has pervaded the ecosystem. RTIs on Aarogya Setu failed to receive adequate answers. In fact, we had to send a legal notice because CIC refused to let RTI activist Saurav Das attend his own show cause hearing regarding critical info about Aarogya Setu.
4/n

Issues have been raised about the non open-source nature of the app. Even when the source code was released, it was the code for an earlier version of the app that was made available. The server-side code of the app was not available at all.
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#Legend #story
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