7 days 30 days All time Recent Popular
@Collinstaxacct @RepSwalwell 1/ Istanka, Axe Murderer Barbie and her 🐀faced weasel bastard traitor Comrade Kushnerov (attempted a Kremlin back channel WHY?) pals with Rupert Murdoch's ex and Putin's reputed squeeze Wendi Deng, literally Chinese Intelligence Services, ignoranus.

@RepSwalwell 2/ Comrade Kushnerov, Istanka/Axe Murderer Barbie and Psycho Killer in Chief Trump in terms of their cheap, shabby, tawdry, sordid, rancid, hinky, skeezy, sleazy, scaggy, scumbag-y financial ties are more Chinese than a fortune cookie.

@RepSwalwell @anglicanrichard
3/


@RepSwalwell @anglicanrichard @Khanoisseur
@gdeguzman99 @FreeTheWH @TheNakedParty


@RepSwalwell @anglicanrichard @Khanoisseur @gdeguzman99 @FreeTheWH @TheNakedParty
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.