We believe in offering a wide range of perspectives here at Above the Law. That’s one thing that’s nice about having four full-time writer/editors — myself, Elie, Staci Zaretsky, Chris Danzig — and about a dozen outside columnists.
Today we bring you a different viewpoint on the Baylor law admissions data. Prominent lawyer and blogger Ted Frank, previously profiled in these pages for his work in the class-action area, uses the same data to argue against affirmative action.
On Wednesday, we reported on Baylor Law School accidentally releasing personal academic information for its entire admitted class. It was a massive screw-up, and on Wednesday, we showed you the GPA and LSAT scores for Baylor’s admitted students (with the students’ names redacted, of course).
But there were other fields available in the accidentally released spreadsheet, including racial categorizations for each student and scholarship information. I didn’t include the race field earlier this week because, frankly, I didn’t want the entire news story (of the screw-up) to be overrun by a discussion about race and affirmative action.
But, look, I ain’t afraid of you people. Getting a complete racial breakdown of the class to go along with their grades and LSAT scores is a look inside the law school admissions process that we don’t often get to see.
So, let’s play our game. Looking at the Baylor numbers, you can see the affirmative action “bump” in LSAT scores, and to my eyes, it really shows how foolish the opponents of affirmative action really are….
There are data breaches, and then there are data dummies. The people at Baylor Law seem to be in the latter category.
Nobody was trying to steal the personal information of the admitted students at Baylor Law. But a screw-up by someone at the school resulted in all of the personal information of the admitted class getting transmitted to everybody else in the admitted class.
All of it. Names, addresses, grades, and LSAT scores. Pretty much everything besides social security numbers.
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The last time I flapped my wings your way, I tried to make at least enough noise about your mobile phone to make you more than a little bit uncomfortable. I hope I did. If enough of us become anxious enough about the known and unknown unknowns and knowns in our mobile phones, then we can start making wise decisions about how to manage that information and its resultant investigations.
Today, I’d like to put a finer point on the last installment’s topic by asking a question that seemed to catch most attendees off-guard at a conference panel that I moderated last week: is there discoverable personal information in a mobile app? Our panelists’ answer was a uniform “yes” with one stating that, if he had to choose only one type of data that he could discover from a mobile phone, he’d choose app data. Why? Because there’s simply so much of it and because almost all of it is objective – not just user-created like an email – but machine-tracked like GPS, usage duration, log in and log out times, browsed web addresses, browsed actual addresses. Also, most of us seem to have the idea that data doesn’t actually “stick” to our mobile devices the way it “sticks” to our hard drives. Maybe there’s a disconnect based on the fact that our phones are mobile so we assume the data is mobile to?
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