When Afrikka Hardy was strangled in 2014 it seemed completely random, but it wasn’t. It was part of a pattern. Four years earlier, reporter Thomas Hargrove had created an algorithm to detect serial killers and flagged Gary, Indiana as the site of an unusual number of strangulations. But when Hargrove reached out to warn local police, he was ignored -- until Afrikka Hardy was murdered, and those cold cases suddenly didn’t look so cold. Algorithm follows the investigation into Afrikka’s murder, exposing the warnings that police ignored, and uncovering more than anyone expected -- that a serial killer was strangling women in Gary, Indiana could've been stopped. And that Afrikka Hardy should be alive today. This podcast will explore how technology can be used to identify and track serial killers, and how an algorithm can influence the way homicides are investigated all across the country.
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In the early evening on New Year’s Eve, in 1973, a 34 year old man was found bleeding to death on a downtown street in Stockton, California. In his dying moments, he named the men behind his murder: Calvin Jones and Rosalio Estrada. 50 years later, R... more
Hi, Algorithm fans! We're excited about the newest TenderfootTV podcast, Freeway Phantom. Since you enjoyed our show, we think you won't want to miss this important story. You don't have to only take our word for it, though. Check out the trailer to ... more
This is a gem
Change the tone. Good story but hate the upspeak.
I made it through three episodes and then got lost and bored with the plodding history of Gary, Indiana. The case was intriguing but it was treading water for most of the third episode. And of course the ROBOTIC and unchanging delivery and cadence of the narrator is grating.
He said it would have to do it at home but he is still on his own but I don’t think he’s coming to his place until tomorrow or Tuesday
Depressed, gay surfer.
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Algorithm launched 3 years ago and published 17 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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