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While element of luck is involved, I hardly think getting caught is random. I think a lot depends on preparations and profile you keep.
If it was as simple as "preparation" and "profile," then how do any of them get caught? You'd think those protections would be relatively common knowledge, at least among criminals.
He fled to Africa and was running a coffee business as a front. US Marshals flew to Africa, found him, kidnapped him, and put him on a flight back to O'Hare.
More details on his case: http://articles.chicagotribune.com/1999-05-25/news/990525017...
I worked as a lawyer in Chicago in the late 1990s and represented a client who was on the FBI top ten most wanted list. His name is Nate Hill. He was a Chicago drug dealer. He fled to Africa and was running a coffee business as a front. US Marshals flew to Africa, found him, kidnapped him, and put him on a flight back to O'Hare. More details on his case: http://articles.chicagotribune.com/1999-05-25/news/990525017...
However, it'd be cool to apply this analysis to that list, too!
> df$date_put_on_list It's a cool blog post but that code isn't near readable to me. Long lines in a tiny rectangle hidden behind horizontal scroll don't make it any easier. It looks like a box of arbitrary characters stuffed into as little space as possible. Although the raw link is a little easier on the eyes: https://gist.githubusercontent.com/statwonk/9448932/raw/84b9... Whoever named that method POSIXct needs to…
Earlier quoted context omitted.
If it was as simple as "preparation" and "profile," then how do any of them get caught? You'd think those protections would be relatively common knowledge, at least among criminals.
Even with the necessary knowledge, competence levels vary.
I worked as a lawyer in Chicago in the late 1990s and represented a client who was on the FBI top ten most wanted list. His name is Nate Hill. He was a Chicago drug dealer. He fled to Africa and was running a coffee business as a front. US Marshals flew to Africa, found him, kidnapped him, and put him on a flight back to O'Hare. More details on his case: http://articles.chicagotribune.com/1999-05-25/news/990525017...
Looks like he was actually on the Top 15 list of the U.S. Marshall's, not the FBI Top Ten. http://www.usmarshals.gov/investigations/most_wanted/ However, it'd be cool to apply this analysis to that list, too!
Earlier quoted context omitted.
Looks like he was actually on the Top 15 list of the U.S. Marshall's, not the FBI Top Ten. http://www.usmarshals.gov/investigations/most_wanted/ However, it'd be cool to apply this analysis to that list, too!
Good find! I guess my memory from back then was a little off. Still, super interesting case to work. I met Hill briefly in the MCC.
> df$date_put_on_list It's a cool blog post but that code isn't near readable to me. Long lines in a tiny rectangle hidden behind horizontal scroll don't make it any easier. It looks like a box of arbitrary characters stuffed into as little space as possible. Although the raw link is a little easier on the eyes: https://gist.githubusercontent.com/statwonk/9448932/raw/84b9... Whoever named that method POSIXct needs to…
R doesn't like as.Date(), unfortunately.
I mean, they sometimes do, but that's not what the article is about. If the author is reading, maybe change "will you survive" to "until you're found".