[Off Topic] Hsieh Forbes Column: That Time The CDC Asked About Defensive Gun Uses

[Off topic] My latest Forbes piece is now out: "That Time The CDC Asked About Defensive Gun Uses".

I discuss some recent work by criminologist Gary Kleck on unpublished CDC data on defensive gun use, and how that may support the case of gun rights advocates.

Some of the statistical evidence is still in question, however, and Kleck has withdrawn the original version of his paper pending further analysis.

Ultimately, individual rights are not validated (or refuted) by statistics. But real-world evidence can help affirm the underlying principles.

For more details, see the full text of "That Time The CDC Asked About Defensive Gun Uses".

Related articles:

"Any Study Of ‘Gun Violence’ Should Include How Guns Save Lives" (Paul Hsieh, 3/20/2018)
"Criminologist Gary Kleck on Guns, Crime, and Their Study" (Ari Armstrong, 11/7/2015)

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In an effort to address questions about fair play, track and field’s world governing body will publish regulations on Thursday that could force some elite female athletes with naturally elevated testosterone levels to lower the hormone with medication, compete against men in certain Olympic events or effectively give up their international careers.

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No superintelligent AI is going to bother with a task that is harder than hacking its reward function.

In other words, Bach imagines that Bostrom’s hypothetical paperclip-making AI would foresee the fantastically difficult and time-consuming task of turning everything in the universe into paperclips and opt to self-medicate itself into no longer wanting or caring about making paperclips, instead doing whatever the AI equivalent is of sitting around on the beach all day sipping piña coladas, a la The Big Lebowski’s The Dude.

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What it does: The software is designed to detect greater than a mild level of diabetic retinopathy, which causes vision loss and affects 30 million people in the US. It occurs when high blood sugar damages blood vessels in the retina.

How it works: The program uses an AI algorithm to analyze images of the adult eye taken with a special retinal camera. A doctor uploads the images to a cloud server, and the software then delivers a positive or negative result.

No specialist required: The FDA recently cleared AI-based software to help detect stroke, too. But the agency says this is the first device authorized to provide a screening decision without the need for a specialized doctor to interpret the image or results.

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Lawsuit has been filed.

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I'm guessing this isn't confined to Raleigh, NC. (Via Debby Witt.)