Jeffrey Epstein's network via 1.4m emails
Briefly

Jeffrey Epstein's network via 1.4m emails
"With the most recent Epstein release, the Economist collaborated with the folks who work on Jmail to breakdown the many pages of email between Epstein and others. He did not waste time on middle managers. A quarter of his top non-staff contacts have a Wikipedia page. He traded emails with at least 18 current or former billionaires, including Peter Thiel and Elon Musk;"
"A quarter of his top non-staff contacts have a Wikipedia page. He traded emails with at least 18 current or former billionaires, including Peter Thiel and Elon Musk; celebrities like Woody Allen and Deepak Chopra; and political figures such as Ehud Barak, a former Israeli prime minister. Most back-and-forths were balanced, with similar numbers of emails sent and received; an exception was Bill Gates, whom Epstein bombarded despite few responses. (Mr Gates was happy to meet Epstein on a number of occasions, however.)"
"Most back-and-forths were balanced, with similar numbers of emails sent and received; an exception was Bill Gates, whom Epstein bombarded despite few responses. (Mr Gates was happy to meet Epstein on a number of occasions, however.) Most of the email was with staff and business partners. To find the more troublesome threads, a large language model was used to score emails with an "alarm index." Although the strip plot above focuses on volume over content. Chart Type Used"
Released emails show extensive correspondence between Epstein and numerous high-profile non-staff contacts. A quarter of top non-staff contacts have Wikipedia pages. Epstein exchanged messages with at least 18 current or former billionaires, including Peter Thiel and Elon Musk, along with celebrities such as Woody Allen and Deepak Chopra and political figures including Ehud Barak. Most email threads had balanced numbers of messages sent and received, but Bill Gates received many more messages from Epstein than he replied to. Most email volume was with staff and business partners. A large language model scored emails with an alarm index to surface potentially troublesome threads while visualizations emphasized volume over content.
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