Latest / True Crime Reactions / UPDATE: Monster in Fort Wayne, Indiana-Case Reaction & Analysis

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UPDATE: Monster in Fort Wayne, Indiana-Case Reaction & Analysis · True Crime Reactions

• 0:00
  Speaker 1: Imagine, imagine receiving a notification on your phone right now,
• 0:04
  Speaker 1: just a standard push alert, right, but it's a prompt
• 0:07
  Speaker 1: asking you to step directly into the like the raw,
• 0:11
  Speaker 1: unfolding nightmare of a grieving mother.
• 0:13
  Speaker 2: Yeah, that's heavy, it is.
• 0:15
  Speaker 1: You aren't given a glossy introduction. There's no you know,
• 0:18
  Speaker 1: protective layer of a storyteller gently walking you through the details.
• 0:21
  Speaker 1: You are basically just handed the microphone and told to
• 0:24
  Speaker 1: listen to a family's active.
• 0:25
  Speaker 2: Trauma, right, which is quite jarring totally.
• 0:28
  Speaker 1: And today that is exactly the architecture we're examining in
• 0:32
  Speaker 1: our deep dive. We are looking at the show notes,
• 0:34
  Speaker 1: the release details, and the structural metadata of a very
• 0:38
  Speaker 1: specific audio release from the true crime genre.
• 0:41
  Speaker 2: Yeah, really fascinating one.
• 0:42
  Speaker 1: It's a bonus update from the Crime Junkie series, which
• 0:45
  Speaker 1: you know is hosted by Ashley Flowers and Britt Praowat
• 0:48
  Speaker 1: on the Audio Check Network, and it's simply titled EP
• 0:51
  Speaker 1: date Monster in Fort Wayne, Indiana. This was published on
• 0:55
  Speaker 1: April five, eighteen.
• 0:57
  Speaker 2: Right, And the mission for our analysis today is to
• 1:01
  Speaker 2: really deconstruct the mechanics behind that specific notification. We need
• 1:05
  Speaker 2: to understand how a piece of modern media handles sensitive
• 1:09
  Speaker 2: real time true crime.
• 1:10
  Speaker 1: Updates, because it's not just a story, it's real life exactly.
• 1:14
  Speaker 2: We are going to examine this collision between the tragic
• 1:17
  Speaker 2: reality and unsolved murder, specifically this interview with a victim's
• 1:22
  Speaker 2: mother and the well the highly optimized algorithmic machinery of
• 1:28
  Speaker 2: global digital consumption.
• 1:30
  Speaker 1: I mean, it's wild when you put it like that,
• 1:31
  Speaker 1: it really is.
• 1:32
  Speaker 2: The sources we're working from today provide a really incredible
• 1:35
  Speaker 2: blueprint of how a localized tragedy is packaged, how it's distributed,
• 1:39
  Speaker 2: and ultimately how it's consumed on this massive mass scale.
• 1:42
  Speaker 1: Yeah, so I want to start by looking at the
• 1:44
  Speaker 1: pure logistics of how this was delivered to you, the listener,
• 1:46
  Speaker 1: because the metadata tells a very specific story before you
• 1:49
  Speaker 1: even hit play.
• 1:50
  Speaker 2: Oh absolutely, the metadata is so revealing.
• 1:52
  Speaker 1: Right, So, the show notes classify this as a quote
• 1:54
  Speaker 1: bonus episode with a runtime of exactly thirty three minutes.
• 1:58
  Speaker 1: And what immediately pought my attention is the structural mandate
• 2:01
  Speaker 1: embedded right in the text, Like right there in the description,
• 2:05
  Speaker 1: the creators explicitly instruct the audience. They say, be sure
• 2:08
  Speaker 1: to listen to episode eighteen Wanted Monster in Fort Wayne,
• 2:12
  Speaker 1: Indiana before you listen to this update episode, which is such.
• 2:16
  Speaker 2: An interesting editorial.
• 2:18
  Speaker 1: Choice, right, I mean, why build friction into the consumption
• 2:21
  Speaker 1: process in an era where digital media is like desperate
• 2:25
  Speaker 1: for your immediate click. Telling a user to stop and
• 2:28
  Speaker 1: go consume something else first feels so counterintuitive.
• 2:31
  Speaker 2: Well, it feels counterintuitive if we view this strictly through
• 2:34
  Speaker 2: the lens of engagement metrics, right, yeah, like just trying
• 2:37
  Speaker 2: to get raw numbers. Yeah, but I think we have
• 2:40
  Speaker 2: to look at the psychology of cognitive anchoring here.
• 2:42
  Speaker 1: Okay, unpack that a bit. Cognitive anchoring.
• 2:45
  Speaker 2: Yeah, So when a listener subscribes to a series with
• 2:47
  Speaker 2: a frequency updated weekly schedule, which our metadata in the
• 2:51
  Speaker 2: case this show has, they're entering into a behavioral contract.
• 2:54
  Speaker 1: Oh, like I expect my show every Monday morning on
• 2:57
  Speaker 1: my commute, exactly.
• 2:58
  Speaker 2: You expect a certain type of narrative structure on a
• 3:01
  Speaker 2: specific day of the week. So by dropping a quote
• 3:04
  Speaker 2: unquote bonus release off cycle on April five, twenty eighteen,
• 3:09
  Speaker 2: the network is deliberately breaking that behavioral contract.
• 3:12
  Speaker 1: Right to say, hey, pay attention to this.
• 3:14
  Speaker 2: Exactly to signal urgency. However, urgency without context is just
• 3:19
  Speaker 2: emotional manipulation.
• 3:21
  Speaker 1: Wow. Yeah, that's a great way to put it.
• 3:23
  Speaker 2: Right. If a listener parachutes into an update about a
• 3:26
  Speaker 2: grieving family without understanding the investigative timeline, they're experiencing the
• 3:32
  Speaker 2: emotional fallout without possessing the actual factual architecture of the crime.
• 3:37
  Speaker 1: That makes me think about how we process complex systems.
• 3:41
  Speaker 1: Like if you try to compile a piece of software
• 3:43
  Speaker 1: without installing the base libraries first, the system just throws
• 3:46
  Speaker 1: an error.
• 3:47
  Speaker 2: That's a really good analogy action, right.
• 3:48
  Speaker 1: You have to have the foundational code in place for
• 3:50
  Speaker 1: the new data to execute properly. The mandate to listen
• 3:53
  Speaker 1: to episode eighteen first is essentially the creator is forcing
• 3:57
  Speaker 1: you to install those base libraries.
• 3:59
  Speaker 2: Yes, you need the before you get the feelings exactly.
• 4:02
  Speaker 1: You need to know the dates, the locations, the forensic
• 4:04
  Speaker 1: dead ends before you are allowed to interface with the
• 4:07
  Speaker 1: human cost of it all. But I look at that
• 4:10
  Speaker 1: thirty three minute runtime and I have to push back
• 4:13
  Speaker 1: a little bit.
• 4:14
  Speaker 2: Oh how so?
• 4:16
  Speaker 1: Well, A standard true crime release is usually what.
• 4:18
  Speaker 2: An hour or more easily usually padded with a lot
• 4:21
  Speaker 2: of extra elements.
• 4:22
  Speaker 1: Right, padded with theories, you know, atmospheric music, extensive host commentary.
• 4:27
  Speaker 1: So is a thirty three minute runtime really an editorial
• 4:31
  Speaker 1: choice of respect or does it just indicate they didn't
• 4:33
  Speaker 1: have enough actual investigative material to fill a standard slot.
• 4:36
  Speaker 2: I mean, it's a fair question, but I'd argue it's
• 4:38
  Speaker 2: the former. The structural constraints of audio media dictate that
• 4:43
  Speaker 2: form follows function. Okay, when you look at the metadata
• 4:46
  Speaker 2: of standard weekly true crime releases, they often follow a
• 4:50
  Speaker 2: three act narrative structure, and that naturally balloons to sixty
• 4:53
  Speaker 2: or ninety minutes to accommodate the setup, the exploration, and
• 4:57
  Speaker 2: then the resolution.
• 4:57
  Speaker 1: Right, the classic beginning, middle, and end exactly.
• 5:01
  Speaker 2: But a thirty three minute container implies the removal of
• 5:04
  Speaker 2: the narrative arc entirely. There is no setup and no
• 5:08
  Speaker 2: resolution because well, the case is actively ongoing. It's just
• 5:11
  Speaker 2: the middle, right, it's a raw data transfer. Pacing an
• 5:15
  Speaker 2: update at thirty three minutes means the network, you know,
• 5:17
  Speaker 2: they stripped out the speculative filler. It is a surgical
• 5:20
  Speaker 2: allocation of bandwidth.
• 5:21
  Speaker 1: Surgical allocation bandwidth. I like that.
• 5:23
  Speaker 2: You're not getting a story here, you are getting a briefing,
• 5:27
  Speaker 2: and the centerpiece of that briefing fundamentally alters the power
• 5:30
  Speaker 2: dynamic between the audio file and the listener.
• 5:33
  Speaker 1: Yeah, we really need to talk about that centerpiece. We're
• 5:35
  Speaker 1: talking about the interview with Janet Tinsley, Yes, the mother. Right,
• 5:38
  Speaker 1: the show notes explicitly state quote, we get the opportunity
• 5:42
  Speaker 1: to talk with April Tinsley's mom, Janet, about the investigation
• 5:45
  Speaker 1: into her daughter's murder. And this is where the standard
• 5:49
  Speaker 1: architecture of the genre kind of just collapses.
• 5:51
  Speaker 2: It really does. It flips everything on.
• 5:53
  Speaker 1: Its head, because usually the hosts are your buffer. They
• 5:57
  Speaker 1: act as translators. Right. They take these fit police reports
• 6:01
  Speaker 1: and they distill them into a digestible, safe format for
• 6:04
  Speaker 1: you to listen to while you're folding laundry.
• 6:06
  Speaker 2: Right, They sanitize it just enough so it's consumable.
• 6:09
  Speaker 1: Exactly, So when Ashley Flowers and Brit Prowats step back
• 6:13
  Speaker 1: and just hand the audio space over to Janet, that
• 6:16
  Speaker 1: buffer is eliminated entirely. The listener is suddenly unprotected.
• 6:21
  Speaker 2: Unprotected is the perfect word. We need to examine the
• 6:24
  Speaker 2: mechanics of narrative authority here. In any audio documentary format,
• 6:29
  Speaker 2: the voice of the host represents control. The host knows
• 6:32
  Speaker 2: the outcome. They control the timeline, and they guide you,
• 6:35
  Speaker 2: the listener, safely through the darker elements of human nature.
• 6:38
  Speaker 1: They're holding your hand through the dark woods.
• 6:40
  Speaker 2: Exactly. So, when the host yields the floor to a
• 6:43
  Speaker 2: victim's mother, the narrative authority shifts from the objective observer
• 6:46
  Speaker 2: to the subjective survivor. Oh yeah, Janet Tinsley is not
• 6:50
  Speaker 2: reciting a script, you know, she is articulating an active,
• 6:54
  Speaker 2: ongoing absence in her life, and the acoustic properties of
• 6:57
  Speaker 2: that kind of primary source material.
• 6:59
  Speaker 1: What do you mean by acoustic properties like the sound
• 7:01
  Speaker 1: of her.
• 7:01
  Speaker 2: Voice, Yeah, exactly, the slight hesitations, the cadence of her breathing,
• 7:06
  Speaker 2: the very specific vocabulary of her grief. Those things transmit
• 7:10
  Speaker 2: a frequency of reality that completely bypasses the usual analytical
• 7:15
  Speaker 2: filters of the human brain.
• 7:17
  Speaker 1: It introduces this concept I was thinking about while reviewing
• 7:20
  Speaker 1: these show notes, which is parasocial grieving.
• 7:23
  Speaker 2: Parasocial grieving? Okay, tell me more about that.
• 7:26
  Speaker 1: Well, the digital age has trained us to develop parasocial relationships, right,
• 7:31
  Speaker 1: that one sided intimacy with podcast hosts, influencers, celebrities.
• 7:35
  Speaker 2: Oh sure, you feel like you're best friends with them?
• 7:38
  Speaker 2: Even though they don't know you exist.
• 7:39
  Speaker 1: Exactly, we feel like we know them. But this release
• 7:41
  Speaker 1: demands something entirely different. It demands that you, sitting in
• 7:45
  Speaker 1: your car or at your desk, actively participate in the
• 7:48
  Speaker 1: grief of a total stranger.
• 7:50
  Speaker 2: Yeah, just locked in with it, right.
• 7:51
  Speaker 1: You are locked in an intimate acoustic space with a
• 7:54
  Speaker 1: mother's trauma. And I have to ask, does that shift
• 7:58
  Speaker 1: place an unfair ethical burden on the listener?
• 8:01
  Speaker 2: It's a huge question, right, Like.
• 8:03
  Speaker 1: Is it a form of mobilized empathy or is it
• 8:07
  Speaker 1: a mechanism that basically turns the listener into a passive
• 8:11
  Speaker 1: voyeur of a family's darkest moment.
• 8:13
  Speaker 2: I think that tension is the defining mechanism of the
• 8:16
  Speaker 2: medium right now. When the creators strip away their own
• 8:19
  Speaker 2: voices to center Janet Tinsley, they force a psychological recalibration
• 8:24
  Speaker 2: on the audience.
• 8:25
  Speaker 1: You can't just passively consume it anymore.
• 8:27
  Speaker 2: Exactly. You are no longer evaluating a mystery puzzle. You
• 8:31
  Speaker 2: are being asked to hold a piece of localized trauma.
• 8:34
  Speaker 2: And I think we have to look really closely at
• 8:36
  Speaker 2: how that trauma is defined in the source text.
• 8:38
  Speaker 1: Yeah, the specifical language they use right, because the.
• 8:41
  Speaker 2: Show notes do not refer to this merely as a
• 8:43
  Speaker 2: tragic memory. The text explicitly covers quote the torment April's
• 8:47
  Speaker 2: killer has put her family and the city of Fort.
• 8:49
  Speaker 1: Wayne through that specific word torment. It just jumps off
• 8:52
  Speaker 1: the page.
• 8:53
  Speaker 2: It really does. It's a very intentional choice.
• 8:54
  Speaker 1: Because torment is not a passive state.
• 8:57
  Speaker 2: Right.
• 8:57
  Speaker 1: A tragedy is an event that occurs and then you
• 9:00
  Speaker 1: mourn the aftermath. But torment implies an active, relentless, and
• 9:04
  Speaker 1: ongoing psychological warfare.
• 9:06
  Speaker 2: Yes, it means the threat is still out there.
• 9:09
  Speaker 1: It means the threat is still executing its program. I
• 9:12
  Speaker 1: kind of look at this through the lens of a
• 9:14
  Speaker 1: computer network again.
• 9:15
  Speaker 2: Okay, I love these analogies. Let's hear it.
• 9:17
  Speaker 1: Okay, So, if the physical infrastructure of Fort Wayne, Indiana,
• 9:20
  Speaker 1: you know, the streets, the schools, the parks, if that
• 9:24
  Speaker 1: is the hardware, this unsolved murder operates like malicious malware
• 9:29
  Speaker 1: injected into the city's source code.
• 9:31
  Speaker 2: Oh wow, that's incredibly evocative.
• 9:34
  Speaker 1: Right, the hardware remains physically identical that the way the
• 9:37
  Speaker 1: residents interact with it is completely corrupted, like a slow
• 9:42
  Speaker 1: moving car on a suburban street is no longer just traffic.
• 9:45
  Speaker 1: It triggers a system wide security alert in the minds
• 9:49
  Speaker 1: of the parents watching, the environment itself becomes hostile.
• 9:53
  Speaker 2: Your analysis of the urban environment is crucial here, especially
• 9:55
  Speaker 2: when we couple the word torment with the title of
• 9:58
  Speaker 2: the release itself in Fort.
• 10:00
  Speaker 1: Wayne, monster not killer, not suspect exactly.
• 10:04
  Speaker 2: By utilizing a mythological term rather than a clinical or
• 10:07
  Speaker 2: legal one, the text elevates the perpetrator from a human
• 10:10
  Speaker 2: criminal into an omnipresent environmental.
• 10:13
  Speaker 1: Hazard, like a ghost story that's actually real.
• 10:15
  Speaker 2: Precisely, a human suspect has physical limitations, right, they can
• 10:20
  Speaker 2: only be in one place at a time. But a
• 10:22
  Speaker 2: quote unquote monster in the collective psychology of a traumatized
• 10:26
  Speaker 2: city is everywhere.
• 10:28
  Speaker 1: It's in the shadows, it's behind every tree.
• 10:30
  Speaker 2: Yes, the geography of fear maps itself over the physical
• 10:33
  Speaker 2: geography of the city. Healing in any sociological sense is
• 10:37
  Speaker 2: completely paralyzed because the threat factor has not been neutralized.
• 10:41
  Speaker 2: The whole community is held in a state of suspended animation,
• 10:44
  Speaker 2: just waiting for the other shoe to.
• 10:46
  Speaker 1: Drop, which makes the geographical distribution of this audio file
• 10:49
  Speaker 1: so incredibly.
• 10:50
  Speaker 2: Jarring to the reach of it.
• 10:52
  Speaker 1: Yes, the sheer reach. We are talking about a highly
• 10:55
  Speaker 1: localized psychological malware infecting Fort Wayne, Indiana. But when I
• 10:59
  Speaker 1: look at the regional availability data provided in our sources,
• 11:03
  Speaker 1: the footprint of this thirty three minute file is staggering.
• 11:06
  Speaker 2: It's everywhere.
• 11:07
  Speaker 1: It is distributed across Africa, the Middle East, India, the
• 11:10
  Speaker 1: Asia Pacific, Europe, Latin America, the Caribbean, and North America.
• 11:14
  Speaker 1: And it's available in languages ranging from Arabic and Russian
• 11:18
  Speaker 1: to Vietnamese, Portuguese and Simplified Chinese.
• 11:21
  Speaker 2: It's a truly global phenomenon.
• 11:23
  Speaker 1: It is the hyper local nightmare of the Tinsley Family
• 11:26
  Speaker 1: has been uploaded into the cloud and decentralized globally.
• 11:30
  Speaker 2: We have to break down the digital architecture that enables
• 11:32
  Speaker 2: that decentralization. Because it's fascinating.
• 11:35
  Speaker 1: Let's do it. How does this actually work well?
• 11:37
  Speaker 2: Modern podcasting does not operate like a traditional radio broadcast
• 11:41
  Speaker 2: tower with a limited physical radius. Right. It relies on
• 11:45
  Speaker 2: RSS really simple syndication.
• 11:47
  Speaker 1: Right, the RSS feed.
• 11:49
  Speaker 2: Exactly when Audio Chuck publishes this episode to their hosting platform,
• 11:53
  Speaker 2: an XML file is updated and instantly decentralized servers around
• 11:58
  Speaker 2: the globe ping that XML file and pull the audio
• 12:01
  Speaker 2: data to local data centers in Tokyo and Johannesburg.
• 12:05
  Speaker 1: In London in literally milliseconds.
• 12:07
  Speaker 2: In milliseconds, the mechanical reality of this infrastructure means that
• 12:10
  Speaker 2: Janet Tinsley's highly localized plea for a killer in Indiana
• 12:14
  Speaker 2: is simultaneously replicated on servers in over one hundred countries instantly.
• 12:18
  Speaker 1: I mean, I am just trying to wrap my head
• 12:19
  Speaker 1: around the surreal nature of that reality. Someone sitting in
• 12:23
  Speaker 1: a cafe in Paris, or writing a commuter train in Singapore,
• 12:28
  Speaker 1: or working in a high rise in Riod can tap
• 12:31
  Speaker 1: a screen and instantly stream the raw, unedited torment of
• 12:36
  Speaker 1: a mother in the American Midwest.
• 12:38
  Speaker 2: It is bizarre when you frame it like that, But what.
• 12:40
  Speaker 1: Does that actually accomplish mechanically? What do you mean, like,
• 12:43
  Speaker 1: if the goal of an update is to catch a
• 12:45
  Speaker 1: localized killer, what is the mathematical utility of broadcasting the
• 12:50
  Speaker 1: SUSTEC profile to someone in Botswana or Iceland. They can't
• 12:53
  Speaker 1: do anything about.
• 12:54
  Speaker 2: It, that is the big question, And the utility actually
• 12:57
  Speaker 2: lies in the algorithmic amplification of the overall platform.
• 13:00
  Speaker 1: Okay, algorithmic amplification.
• 13:02
  Speaker 2: Right, though, it simultaneously introduces what we might call the
• 13:05
  Speaker 2: bystander effect in digital networks.
• 13:07
  Speaker 1: Like when a bunch of people watch a crime happen,
• 13:09
  Speaker 1: but nothing calls the cops because they assume someone else will.
• 13:12
  Speaker 2: Exactly, on a localized level, if you tell one hundred
• 13:15
  Speaker 2: people in Fort Wayne to look for a suspect, you
• 13:17
  Speaker 2: have a high probability of actionable intelligence. People know the area,
• 13:21
  Speaker 2: they know the faces. But when you push that same
• 13:24
  Speaker 2: request to millions of people globally, the vast majority simply
• 13:29
  Speaker 2: cannot act on the geographical data. They are in Paris,
• 13:32
  Speaker 2: not Indiana.
• 13:33
  Speaker 1: So why do it?
• 13:35
  Speaker 2: Because the sheer volume of global downloads signals to the
• 13:38
  Speaker 2: algorithms of Apple Podcasts and Spotify that this file is
• 13:42
  Speaker 2: highly relevant.
• 13:43
  Speaker 1: Oh so the algorithm doesn't care where the downloads come from.
• 13:47
  Speaker 2: It doesn't care at all. It just sees heat. The
• 13:49
  Speaker 2: algorithm then pushes the file higher up the charts universally,
• 13:53
  Speaker 2: which inevitably forces it onto the screens of the people
• 13:56
  Speaker 2: who are geographically close to the crime. That is wild,
• 13:59
  Speaker 2: the global audience acts as the algorithmic engine required to
• 14:02
  Speaker 2: penetrate the local market.
• 14:04
  Speaker 1: So the listener in Paris isn't actually expected to solve
• 14:07
  Speaker 1: the crime. Their download is essentially a micro transaction of
• 14:10
  Speaker 1: algorithmic capital, Yes, algorithmic capital that buys visibility in Indiana.
• 14:15
  Speaker 1: That is a fascinating way to look at how trauma
• 14:17
  Speaker 1: is weaponized for algorithmic distribution.
• 14:20
  Speaker 2: It's a very utilitarian way of looking at it, but
• 14:22
  Speaker 2: it's the mechanical truth of the platform.
• 14:24
  Speaker 1: But that brings us to the most complex ecosystem we
• 14:26
  Speaker 1: have to navigate in these source notes because capturing that
• 14:29
  Speaker 1: algorithmic capital requires a massive, highly optimized modern media infrastructure.
• 14:34
  Speaker 2: And infrastructure is expensive.
• 14:35
  Speaker 1: Exactly, it has to be funded. So let's look at
• 14:37
  Speaker 1: the community and monetization hooks embedded directly in this release.
• 14:42
  Speaker 2: Yeah, the show notes present a very dense layer of
• 14:44
  Speaker 2: operational metadata. Right alongside the description of the Tinsley Families torment.
• 14:50
  Speaker 2: The release includes a prompt to quote join the fan
• 14:54
  Speaker 2: club for an ad free experience.
• 14:56
  Speaker 1: Join the fan club right next to a murder investation.
• 14:59
  Speaker 2: Right, and it lists social media handles across Instagram, Twitter, TikTok,
• 15:04
  Speaker 2: and Facebook. It explicitly notes that the podcast is hosted
• 15:08
  Speaker 2: by simple Cast, which is an ads whiz company.
• 15:10
  Speaker 1: Okay, ads Whiz Yes.
• 15:12
  Speaker 2: And it directs listeners to a privacy policy regarding the
• 15:14
  Speaker 2: collection of personal data for advertising. Finally, it includes a
• 15:17
  Speaker 2: prompt that reads text Ashley at three one seven seven
• 15:21
  Speaker 2: three three seven four eighty five to talk all things
• 15:24
  Speaker 2: true crime, get behind the scenes, updates and more.
• 15:26
  Speaker 1: Okay, we really have to dissect the tension between the
• 15:28
  Speaker 1: content and the container here.
• 15:30
  Speaker 2: It's a severe juxtaposition.
• 15:32
  Speaker 1: It really is. You have the raw grief of Janet
• 15:35
  Speaker 1: Tinsley existing in the exact same digital container as a
• 15:38
  Speaker 1: prompt for TikTok engagement and ads Wiz data harvesting. I
• 15:42
  Speaker 1: really want to understand the mechanics of ads whiz in
• 15:45
  Speaker 1: this context. Okay, Yeah, how does advertising technology function when
• 15:49
  Speaker 1: the product it's attached to is an unsolved murder? Like?
• 15:52
  Speaker 1: Are they reading ads for mattresses over a mother crying?
• 15:55
  Speaker 2: Well? Adswize operates in the principle of dynamic ad.
• 15:58
  Speaker 1: Insertion dynamic AD and what does that mean? Practically?
• 16:02
  Speaker 2: Historically, if a podcast host read an advertisement, it was
• 16:06
  Speaker 2: baked into the audio file permanently, right like everyone heard
• 16:09
  Speaker 2: the same ad forever. Yeah, I remember those dynamic insertion changes.
• 16:12
  Speaker 2: The architecture entirely The thirty three minute audio file of
• 16:16
  Speaker 2: the interview is hosted on a server, but the advertising
• 16:19
  Speaker 2: slots within it are left blank.
• 16:21
  Speaker 1: Oh like placeholders, exactly placeholders.
• 16:24
  Speaker 2: So when you hit play, the server pings your specific
• 16:27
  Speaker 2: IP address, it analyzes your digital profile, and it instantaneously
• 16:32
  Speaker 2: inserts a targeted advertisement into the stream just for you.
• 16:35
  Speaker 1: Wow. So two people listening at the exact same time
• 16:37
  Speaker 1: get totally different ads.
• 16:39
  Speaker 2: Correct. This means that a listener in Fort Wayne might
• 16:43
  Speaker 2: hear an ad for a local car dealership, while a
• 16:45
  Speaker 2: listener in London here's an ad for a British bank,
• 16:49
  Speaker 2: both wrapped around the exact same interview with Janet Tinsley.
• 16:53
  Speaker 1: That is, it's a bit dystopian, isn't it.
• 16:56
  Speaker 2: The tragedy is static, but the monetization is high, uper
• 17:00
  Speaker 2: localized and dynamically generated in real time.
• 17:03
  Speaker 1: The juxtaposition of a mother's static, unchanging grief surrounded by
• 17:07
  Speaker 1: dynamically targeted corporate advertising is so jarring to me. But
• 17:11
  Speaker 1: I suppose it's the economic reality that keeps the servers running.
• 17:14
  Speaker 2: It is, without the servers, the message doesn't get out.
• 17:18
  Speaker 1: True, but the network does seem to make deliberate editorial
• 17:21
  Speaker 1: choices to mitigate this tension. Though, based on the notes,
• 17:24
  Speaker 1: the metadata shows that this specific release carries a clean rating, right.
• 17:28
  Speaker 2: As opposed to an explicit rating.
• 17:30
  Speaker 1: Yeah, and most true crime involves horrific explicit details. So
• 17:35
  Speaker 1: is a clean rating just a moral choice to be
• 17:37
  Speaker 1: respectful to the family or is there a mechanical advantage
• 17:40
  Speaker 1: to sanitizing the violence.
• 17:41
  Speaker 2: Well, while it certainly honors the family by refusing to
• 17:45
  Speaker 2: turn their child's death into a graphic spectacle, the clean
• 17:48
  Speaker 2: rating is fundamentally an algorithmic strategy. Really, how so, platforms
• 17:53
  Speaker 2: like Apple Podcasts employ automated filters that heavily scrutinized files
• 17:58
  Speaker 2: tagged as explicit. If an episode crosses a certain threshold
• 18:02
  Speaker 2: of graphic language or violent description, it can actually be
• 18:06
  Speaker 2: shadow band from the front page of the platform. Oh
• 18:08
  Speaker 2: I had no idea, Yeah, Or it can be restricted
• 18:11
  Speaker 2: in international markets with strict digital censorship laws. By engineering
• 18:16
  Speaker 2: the episode to qualify for a clean rating, the creators
• 18:19
  Speaker 2: ensure the file can pass through every global algorithmic gateway
• 18:22
  Speaker 2: without any friction.
• 18:24
  Speaker 1: That makes perfect sense. It guarantees maximum velocity for the
• 18:26
  Speaker 1: cold case.
• 18:27
  Speaker 2: Exactly, you sanitize the violence to maximize the distribution of
• 18:30
  Speaker 2: the plea.
• 18:31
  Speaker 1: That is such a smart way to manipulate the system
• 18:33
  Speaker 1: for a good cause. But I do want to talk
• 18:35
  Speaker 1: about that.
• 18:35
  Speaker 2: Text pron the SMS line.
• 18:37
  Speaker 1: Yeah, text Ashley at three one seven seven three three
• 18:41
  Speaker 1: seven four eight five to get behind the scenes updates
• 18:44
  Speaker 1: in the context of a murdered child. Offering quote unquote
• 18:47
  Speaker 1: behind the scenes updates via text message feels like an
• 18:50
  Speaker 1: incredible blurring of lines.
• 18:52
  Speaker 2: It definitely walks a very fine line, right.
• 18:54
  Speaker 1: Because you are taking the gravest possible reality and applying
• 18:57
  Speaker 1: the mechanics of like an exclusive VIP access pass. How
• 19:01
  Speaker 1: does this specific tool function in the broader true crime ecosystem?
• 19:06
  Speaker 2: We have to analyze that text prompt as a customer
• 19:08
  Speaker 2: relationship management tool or CRM, but this case it's adapted
• 19:12
  Speaker 2: for digital advocacy.
• 19:13
  Speaker 1: Okay, CRM usually used for selling products.
• 19:16
  Speaker 2: Right, Exactly, In traditional media, broadcasting is a one way street.
• 19:20
  Speaker 2: The creator speaks, the audience listens. Providing a direct SMS
• 19:23
  Speaker 2: line breaks down that formal barrier, and it engineers a
• 19:26
  Speaker 2: parasocial mobilization.
• 19:28
  Speaker 1: A parasocial mobilization right.
• 19:30
  Speaker 2: The listener no longer feels like a passive consumer. They
• 19:32
  Speaker 2: feel like they are inside the perimeter of the investigation.
• 19:35
  Speaker 2: By opting into a text message system, you the listener,
• 19:38
  Speaker 2: provide a direct, unfiltered conduit to your mobile device. Bypassing
• 19:42
  Speaker 2: algorithmic social media feeds.
• 19:44
  Speaker 1: Entirely, because with Twitter or Instagram you're at the mercy
• 19:48
  Speaker 1: of the feed algorithm, you might not see the post exactly.
• 19:51
  Speaker 1: So if the network needs to push out an urgent update,
• 19:54
  Speaker 1: say a new suspect sketch or a call to action
• 19:58
  Speaker 1: for the Fort Wayne Police, I don't have to hope
• 20:00
  Speaker 1: the audience logs onto Twitter or checks their podcast view.
• 20:03
  Speaker 2: No they don't.
• 20:04
  Speaker 1: They can push a mass SMS alert directly into the
• 20:08
  Speaker 1: pockets of hundreds of thousands of mobilized listeners instantaneously. It
• 20:12
  Speaker 1: turns a fragmented audience into a concentrated, actionable database, exactly.
• 20:17
  Speaker 2: The function of a modernized neighborhood watch scaled to an
• 20:21
  Speaker 2: unprecedented degree.
• 20:22
  Speaker 1: A modernized neighborhood watch. I really like that framing, right.
• 20:25
  Speaker 2: The fan clubs, TikTok handles, the SMS databases. These are
• 20:30
  Speaker 2: not inherently exploited of tools. They are the neutral engines
• 20:33
  Speaker 2: of modern digital marketing.
• 20:34
  Speaker 1: It's just how they are used that determines the ethics exactly, and.
• 20:38
  Speaker 2: In most responsible iterations of the genre, these marketing engines
• 20:42
  Speaker 2: are the exact mechanisms required to amplify the search for justice.
• 20:47
  Speaker 2: They keep the victim's name in the public consciousness, ensuring
• 20:50
  Speaker 2: that the local authorities know a global audience is closely
• 20:53
  Speaker 2: monitoring the progress of the case.
• 20:55
  Speaker 1: It is a profound realization that the same algorithmic data
• 20:59
  Speaker 1: harvest that sells us shoes is being re engineered to
• 21:03
  Speaker 1: hunt a monster in Indiana.
• 21:05
  Speaker 2: It really is. It's the dual nature of the Internet.
• 21:07
  Speaker 1: As we pull the threads of this deep dive together,
• 21:10
  Speaker 1: the scope of what we are actually looking at becomes
• 21:12
  Speaker 1: incredibly clear. I mean, we started with the foundational architecture
• 21:16
  Speaker 1: how the network used a mandate and cognitive anchoring to
• 21:19
  Speaker 1: force a listener to understand the facts of episode eighteen
• 21:22
  Speaker 1: before engaging with a sudden off cycle thirty three minute drop.
• 21:25
  Speaker 2: And we then explored the mechanical shift in narrative authority
• 21:28
  Speaker 2: right where the hosts step back and remove the buffer
• 21:31
  Speaker 2: entirely forcing the listener into an intimate acoustic space with
• 21:34
  Speaker 2: Janet Tinsley, Yeah.
• 21:36
  Speaker 1: That raw, unprotected acoustic space. We analyzed how the specific
• 21:41
  Speaker 1: linguistic framing of torment and monster maps, a psychological geography
• 21:47
  Speaker 1: of fear over the physical hardware of a city.
• 21:49
  Speaker 2: And from there we untacked the global RSS infrastructure, the
• 21:54
  Speaker 2: technology that takes a localized trauma and replicates it across
• 21:57
  Speaker 2: servers in over one hundred countries, zing a worldwide audience
• 22:01
  Speaker 2: to generate the algorithmic capital needed to amplify the case locally.
• 22:04
  Speaker 1: And finally, we deconstructed the complex monetization and CRM ecosystem,
• 22:09
  Speaker 1: you know, the dynamic ad insertion, the algorithmic strategy of
• 22:12
  Speaker 1: a clean rating, and the parasocial mobilization of SMS databases.
• 22:17
  Speaker 2: It is truly the ultimate convergence of human suffering and
• 22:19
  Speaker 2: sophisticated digital architecture.
• 22:21
  Speaker 1: It really is, and that brings us directly back to you,
• 22:24
  Speaker 1: the listener. When you engage with a file like this,
• 22:26
  Speaker 1: you know you are not merely absorbing data. Your download,
• 22:30
  Speaker 1: your attention, and your engagement are active nodes in this
• 22:32
  Speaker 1: massive digital network.
• 22:34
  Speaker 2: You are participating.
• 22:35
  Speaker 1: You are participating in a system that balances a family's
• 22:38
  Speaker 1: desperate fight for justice against the actual mechanics of media consumption.
• 22:42
  Speaker 2: It requires a persistent awareness of the digital environment you
• 22:45
  Speaker 2: are operating within, you have to be aware of what
• 22:47
  Speaker 2: your click means.
• 22:48
  Speaker 1: Absolutely so we want to leave you with a final
• 22:50
  Speaker 1: thought to examine as you navigate these platforms.
• 22:53
  Speaker 2: A provocative thought to mollover.
• 22:55
  Speaker 1: As audio technology continues to evolve and the barriers between
• 22:59
  Speaker 1: the subject, the creator and the listener continue to dissolve
• 23:02
  Speaker 1: into direct text messages and real time.
• 23:05
  Speaker 2: Updates, which they will they will only get more intimate.
• 23:08
  Speaker 1: Right, where is the mechanical threshold where our participation stops
• 23:12
  Speaker 1: being a tool for global advocacy and simply becomes the
• 23:16
  Speaker 1: consumption of another family's active nightmare.
• 23:18
  Speaker 2: It's a blurry line.
• 23:19
  Speaker 1: It is. It is a question built into the very
• 23:21
  Speaker 1: architecture of the play button. Thanks for taking the deep
• 23:24
  Speaker 1: dive with us.