4.7 • 13K Ratings
🗓️ 2 August 2021
⏱️ 4 minutes
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0:00.0 | It's tough to stick with workout routines and making time to hit the gym is sometimes even harder. |
0:05.0 | That's why Peloton offers options that fit into your day with thousands of on-demand classes, |
0:09.9 | so you can work out when it's right for you. Peloton goes beyond just the bike, |
0:14.0 | offering classes like yoga, strength training, hit and boxing. Let Peloton help you achieve your |
0:19.6 | fitness goals. Try Peloton risk-free with a 30-day home trial. New members only, not available in |
0:25.1 | remote location, see additional terms at onepeloton.com slash home trial. I'm Gretchen Rubin and this is |
0:32.0 | a little happier. I love to listen to podcasts and by chance over the past year, I listened to two |
0:39.3 | podcast episodes that talked about the same trove of data, the N-RON corpus. N-RON was an enormous, |
0:48.7 | famous and successful energy trading company based in Houston that perpetrated one of the biggest |
0:54.7 | accounting frauds in history. In 2001, it collapsed and top executives were convicted of fraud, |
1:01.6 | estimated losses totaled $74 billion. In 2001, as part of its investigation of N-RON, |
1:10.0 | the Federal Energy Regulatory Commission sees the email folders of about 150 mostly high-ranking |
1:16.9 | N-RON employees and decided to release the emails online. This archive includes hundreds of |
1:24.7 | thousands of emails and is one of the biggest collections of private emails turned public. |
1:30.5 | In 2003, a researcher at MIT paid $10,000 for the material, which became known as the N-RON corpus. |
1:38.1 | And people began to put it in order and clean it up so that it could be used by researchers. |
1:42.8 | It has been used extensively for all kinds of purposes. It was used to study how people put their |
1:49.5 | emails in folders to study about who connects with whom it works, to develop a compliance |
1:54.9 | bot to alert writers if they're writing something that might get them in trouble, to study what |
1:59.2 | level of formality people use in emails and when and why, to study patterns and using greetings or |
2:05.1 | not to train spam filtering and so on. And in this data, people's emails can be read all their |
2:15.1 | ordinary exchanges about work and about their own private lives. And sometimes they write about |
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