A new tool searches your LinkedIn connections for people who are mentioned in the Epstein files, just in case you don’t, understandably, want anything to do with them on the already deranged social network.
404 Media tested the tool, called EpsteIn—as in, a mash up of Epstein and LinkedIn—and it appears to work.
“I found myself wondering whether anyone had mapped Epstein’s network in the style of LinkedIn—how many people are 1st/2nd/3rd degree connections of Jeffrey Epstein?” Christopher Finke, the creator of the tool, told 404 Media in an email. “Smarter programmers than me have already built tools to visualize that, but I couldn’t find anything that would show the overlap between my network and his.”
- Archive: http://archive.today/AIkL2
- Github: https://github.com/cfinke/EpsteIn
Seriously, if you’re motivated enough to do this, you should give programming a try. Python or Ruby or Javascript are ideal for this kind of thing, and you can solve problems like this in a few lines of code… just look up “word frequency in Python” or whatever language for examples.
If you want to see what the next level of this kind of analysis looks like, watch a few videos about how Elasticsearch works… not so much so you can USE Elasticsearch (although you can, it’s free), but just to get a sense of how they approach problems like this: Like imagine instead of just counting word occurrences, you kept track of WHERE in the text the word was. You could still count the number of occurrences, but also find surrounding text and do a bunch of other interesting things too.