From June, 1962 through January, 1964, women in the city of Boston lived in fear of the infamous Strangler. Over those 19 months, he committed 13 known murders-crimes that included vicious sexual assaults and bizarre stagings of the victims' bodies. After the largest police investigation in Massachusetts history, handyman Albert DeSalvo confessed and went to prison. Despite DeSalvo's full confession and imprisonment, authorities would never put him on trial for the actual murders. And more t ...
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Jeff Gomez expands on the story
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Manage episode 315725402 series 3295423
Content provided by Adam Pierno. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adam Pierno or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
How do you find the things you love? Films, music, products, people, food? More and more, we're turning to the internet to find pretty much anything. Or, we may not even be looking for things anymore. Amazon, Google, Spotify, Netflix are all recommending things, to varying degrees of success. Social apps recommend people we would like to follow. I presume that dating apps are showing you profiles based on a similar model, trying to connect you to people you would be more likely to choose.
Often, I scratch my head at recommendations, wondering what signals I provided that led to whatever the app has sent me. I am pleased when a song Spotify introduces me to a song that I never heard before and I love it. It's delightful the one-in-twenty times that iOS suggests I want to set an alarm clock and I actually do.
So far, I haven't experienced a recommendation so memorable, that I can recall it now. As with a lot of the brain power I've outsourced to software, these moments remain there, hovering in the code. No Spotify recommendation has replaced the sensation of a friend telling you that you should listen to X the moment they learned you loved Y, or the mythical record store clerk (sorry Millennials and younger, I am old. You missed this entirely.)
When Spotify does nail it, and recommends something I love, like this, I'm at a loss. I would share it with my friends who love music if I could figure out exactly why Spotify chose it for me.
The context around the thing can make the thing itself more important. That's why I wanted to speak to Jeff Gomez of Starlight Runner Entertainment. He's been working on taking stories we know, and building on them. Adding context. Connecting them beyond their initial container.
You can read a transcript of this episode here at adampierno.com
Get full access to The Strategy Inside Everything at specific.substack.com/subscribe
…
continue reading
Often, I scratch my head at recommendations, wondering what signals I provided that led to whatever the app has sent me. I am pleased when a song Spotify introduces me to a song that I never heard before and I love it. It's delightful the one-in-twenty times that iOS suggests I want to set an alarm clock and I actually do.
So far, I haven't experienced a recommendation so memorable, that I can recall it now. As with a lot of the brain power I've outsourced to software, these moments remain there, hovering in the code. No Spotify recommendation has replaced the sensation of a friend telling you that you should listen to X the moment they learned you loved Y, or the mythical record store clerk (sorry Millennials and younger, I am old. You missed this entirely.)
When Spotify does nail it, and recommends something I love, like this, I'm at a loss. I would share it with my friends who love music if I could figure out exactly why Spotify chose it for me.
The context around the thing can make the thing itself more important. That's why I wanted to speak to Jeff Gomez of Starlight Runner Entertainment. He's been working on taking stories we know, and building on them. Adding context. Connecting them beyond their initial container.
You can read a transcript of this episode here at adampierno.com
Get full access to The Strategy Inside Everything at specific.substack.com/subscribe
96 episodes
MP3•Episode home
Manage episode 315725402 series 3295423
Content provided by Adam Pierno. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adam Pierno or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
How do you find the things you love? Films, music, products, people, food? More and more, we're turning to the internet to find pretty much anything. Or, we may not even be looking for things anymore. Amazon, Google, Spotify, Netflix are all recommending things, to varying degrees of success. Social apps recommend people we would like to follow. I presume that dating apps are showing you profiles based on a similar model, trying to connect you to people you would be more likely to choose.
Often, I scratch my head at recommendations, wondering what signals I provided that led to whatever the app has sent me. I am pleased when a song Spotify introduces me to a song that I never heard before and I love it. It's delightful the one-in-twenty times that iOS suggests I want to set an alarm clock and I actually do.
So far, I haven't experienced a recommendation so memorable, that I can recall it now. As with a lot of the brain power I've outsourced to software, these moments remain there, hovering in the code. No Spotify recommendation has replaced the sensation of a friend telling you that you should listen to X the moment they learned you loved Y, or the mythical record store clerk (sorry Millennials and younger, I am old. You missed this entirely.)
When Spotify does nail it, and recommends something I love, like this, I'm at a loss. I would share it with my friends who love music if I could figure out exactly why Spotify chose it for me.
The context around the thing can make the thing itself more important. That's why I wanted to speak to Jeff Gomez of Starlight Runner Entertainment. He's been working on taking stories we know, and building on them. Adding context. Connecting them beyond their initial container.
You can read a transcript of this episode here at adampierno.com
Get full access to The Strategy Inside Everything at specific.substack.com/subscribe
…
continue reading
Often, I scratch my head at recommendations, wondering what signals I provided that led to whatever the app has sent me. I am pleased when a song Spotify introduces me to a song that I never heard before and I love it. It's delightful the one-in-twenty times that iOS suggests I want to set an alarm clock and I actually do.
So far, I haven't experienced a recommendation so memorable, that I can recall it now. As with a lot of the brain power I've outsourced to software, these moments remain there, hovering in the code. No Spotify recommendation has replaced the sensation of a friend telling you that you should listen to X the moment they learned you loved Y, or the mythical record store clerk (sorry Millennials and younger, I am old. You missed this entirely.)
When Spotify does nail it, and recommends something I love, like this, I'm at a loss. I would share it with my friends who love music if I could figure out exactly why Spotify chose it for me.
The context around the thing can make the thing itself more important. That's why I wanted to speak to Jeff Gomez of Starlight Runner Entertainment. He's been working on taking stories we know, and building on them. Adding context. Connecting them beyond their initial container.
You can read a transcript of this episode here at adampierno.com
Get full access to The Strategy Inside Everything at specific.substack.com/subscribe
96 episodes
All episodes
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