Hello, all!
I was scrolling through Twitter today, and saw someone sharing this article, from
Quanta magazine:
"A Long-Sought Proof, Found and Almost Lost" <
https://www.quantamagazine.org/20170328-statistician-proves-gaussian-correlation-inequality>
The article talks about a retired German statistician's discovery of the proof of the Gaussian correlation inequality (GCI), and why his discovery wasn't...well, discovered for years after he had formulated it.
As a layperson, I can't comment on the proof itself, but, after reading the article, I thought it brought up a lot of interesting points that high school students and undergrads might find accessible: questions about what being published means, about where and how you should be published, about professional goals and expectations and personal satisfaction, about international scientific/analytic communication, about different goals at different points in a career (starting out and retirement, for instance)... Though these aren't technically stats issues, they help tell a story that can interest laypeople (or newbies!) and that could get conversation going.
What do you think?
(As always, no endorsement implied! Just an article I personally read and found interesting.)
- Lara
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Lara Harmon
Marketing and Online Community Coordinator
American Statistical Association
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