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<v Speaker 1>You are now listening to True Murder, The most shocking

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<v Speaker 1>killers in true crime history and the authors that have

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<v Speaker 1>written about them Gaesy, Bundy, Dahmer, The Nightstalker DTK. Every

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<v Speaker 1>week another fascinating author talking about the most shocking and

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<v Speaker 1>infamous killers in true crime history. True Murder with your

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<v Speaker 1>host journalist and author Dan Zupanski, Good Evening.

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<v Speaker 2>In two thousand and four, the FBI was tipped off

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<v Speaker 2>to a gruesome pattern of unsolved murders along American roadways. Today,

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<v Speaker 2>at least eight hundred and fifty homicides have been linked

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<v Speaker 2>to a solitary breed of predators, long haul truck drivers.

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<v Speaker 2>They've been given names like the truck stop killer, who

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<v Speaker 2>rigged a traveling torture chamber in the rear of his

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<v Speaker 2>truck and is suspected to have killed fifty women, and

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<v Speaker 2>the Interstate strangler, who once answered a phone call from

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<v Speaker 2>his mother while killing one of his dozen victims. The

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<v Speaker 2>crisis was such that the FBI opened a special unit,

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<v Speaker 2>the Highway Serial Killings Initiative. In many cases, the victims,

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<v Speaker 2>often at risk women, are picked up at truck stops

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<v Speaker 2>in one jurisdiction, sexually assaulted and murdered in another and

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<v Speaker 2>dumped along a highway in a third place. The transient

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<v Speaker 2>nature of the offenders and multiple jurisdictions involved make these

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<v Speaker 2>cases incredibly difficult to solve. Based on his own on

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<v Speaker 2>the ground research and drawing on his twenty five year

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<v Speaker 2>career as an FBI's special agent, Frank Figluozy investigates the

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<v Speaker 2>most terrifying cases. He also rides in a big rig

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<v Speaker 2>with a long haul trucker for thousands of miles, gaining

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<v Speaker 2>an intimate understanding of the life and habits of drivers

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<v Speaker 2>and their roadside culture. And he interviews the courageous traffic

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<v Speaker 2>victims of these crimes and their inspiring efforts to now

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<v Speaker 2>help others avoid similar fates. Long Haul is a gripping

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<v Speaker 2>exploration of a violent, disordered world hiding in plain sight

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<v Speaker 2>and the heroes racing to end the horror. It will

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<v Speaker 2>forever unsettle how you travel on the road. The book

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<v Speaker 2>that we're featuring this evening is long Haul, Hunting the

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<v Speaker 2>Highway serial Killers with my special guest, former FBI Assistant

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<v Speaker 2>director and National Security contributor for him News and author

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<v Speaker 2>Frank Figluzy. Welcome to the program, and thank you very much.

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<v Speaker 2>For this interview, Frank big Luesy.

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<v Speaker 3>Thank you, Dan. I am I'm thrilled to be a

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<v Speaker 3>part of this and be a small part of what

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<v Speaker 3>you've been doing for fourteen fifteen years, So thanks for having.

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<v Speaker 2>Thank you so much. You take us right into this book,

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<v Speaker 2>long Haul Hunting the Highway serial Killers. You offer a

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<v Speaker 2>dramatic example of what readers will discover in the following

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<v Speaker 2>pages and know hear from you in this interview. You

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<v Speaker 2>take us to April fools Day, nineteen ninety. Arizona State

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<v Speaker 2>Trooper Mike Miller spots a truck with its hazard lights

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<v Speaker 2>on on the shoulder of I ten in Casta Grande.

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<v Speaker 3>Tell us what he finds, Yeah, the Grande. If anybody's

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<v Speaker 3>ever driven between Phoenix and Tucson, the Costa Grande marks

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<v Speaker 3>the halfway point on Ien and this trooper seize the

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<v Speaker 3>truck hazard lights on, gets out of his car, puts

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<v Speaker 3>his trooper hat on, and approaches the cab of the truck.

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<v Speaker 3>And that's when he hears the screams of a young

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<v Speaker 3>woman who is shackled in the back of the cab

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<v Speaker 3>and naked except for a pair of fuzzy lion bedroom

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<v Speaker 3>slippers and he realizes, you know, I've got a problem here,

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<v Speaker 3>and that driver was Robert Ben Rhodes, who we later

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<v Speaker 3>find out was a notorious killer who may have killed

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<v Speaker 3>as many as fifty people, mostly women. This begins a

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<v Speaker 3>massive investigation. Amongst Robert Ben Rhodes's victims was a fourteen

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<v Speaker 3>year old girl whose body is found only later, much later,

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<v Speaker 3>in an abandoned Illinois farmhouse. This fourteen year old was

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<v Speaker 3>hitchhiking boyfriend outside of Houston, Texas. He you know, the

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<v Speaker 3>boyfriend and her were picked up by Rhodes. The boyfriend

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<v Speaker 3>was quickly killed because he was a mere speed bump

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<v Speaker 3>in the way, and then for the next weeks, Rhodes

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<v Speaker 3>proceeds to rape and torture Regina Walters at his discretionion.

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<v Speaker 3>The cruelty of Rhodes is really mind blowing. At one point,

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<v Speaker 3>he calls he actually anonymously calls Regina's father, who of

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<v Speaker 3>course is distraught over where Regina may or may not

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<v Speaker 3>be yes and he says, I've made some changes. I've

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<v Speaker 3>cut her hair, and he hangs up. I tell the

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<v Speaker 3>story of Regina in the book, because number one, it's ghastly.

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<v Speaker 3>But the photos that Rhodes took up her just before

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<v Speaker 3>he killed her. Are seared into my brain because if

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<v Speaker 3>you see the photos of Regina Walters, you're looking at

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<v Speaker 3>a girl who's been tortured and raped, knows she may

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<v Speaker 3>be killed and has been. Her hair's been cut into

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<v Speaker 3>a short bob, she's been forced into a black dress

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<v Speaker 3>and high heels, and the look on her face and

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<v Speaker 3>the body language is someone who is really pleading to

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<v Speaker 3>not be raped again. Her arms are outstretched, the look

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<v Speaker 3>on her face is ghastly, and it's something that really

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<v Speaker 3>sticks with you.

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<v Speaker 2>Now, you were a former FBI Assistant director and twenty

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<v Speaker 2>five years as special agent and true you talk about

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<v Speaker 2>the long haul this book project, it's origins beginning in

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<v Speaker 2>twenty twenty one with the conversation. Tell us about that

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<v Speaker 2>conversation and who that was with and how this was

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<v Speaker 2>the impetus for this book to begin.

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<v Speaker 3>Yeah, you know, I kind of with all my various

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<v Speaker 3>leadership roles around the FBI, I kind of prided myself

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<v Speaker 3>on how much I knew about the corners of the FBI,

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<v Speaker 3>the nooks and crannies of the FBI. At one time,

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<v Speaker 3>I was the Chief Inspector of the FBI, which meant

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<v Speaker 3>I had to audit programs everywhere in the FBI.

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<v Speaker 1>And so.

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<v Speaker 3>People think, oh, well, Frank has probably written a book

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<v Speaker 3>about something he's worked here in the FBI. Well that's

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<v Speaker 3>not true. The truth is that I knew little to

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<v Speaker 3>nothing about the Highway Serial Killer Initiative inside the FBI

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<v Speaker 3>until I retired and had a discussion with the woman

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<v Speaker 3>who has headed up this initiative, the HSK within the FBI.

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<v Speaker 3>She's assigned to Behavioral Analysis Unit for at Quantico, Virginia.

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<v Speaker 3>And I said, what do you do for a living?

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<v Speaker 3>And she said, I head up the Highway Serial Killings

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<v Speaker 3>Initiative And I said what. She said, Yeah, we have

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<v Speaker 3>an initiative involving at least eight hundred and fifty murders

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<v Speaker 3>that we know of alongside our nation's roadways that we

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<v Speaker 3>believe are committed by long haul truckers. And I said, okay,

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<v Speaker 3>you got to tell me more, and she did. I

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<v Speaker 3>had to learn more myself. That's the investigator in me.

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<v Speaker 3>I had to dig deeply. The FBI can't talk about

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<v Speaker 3>pending investigations, and so I knew that and I respected that,

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<v Speaker 3>but now I had to know more. And this is

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<v Speaker 3>my journey. This book is really the story of my

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<v Speaker 3>journey into three cultures. Long haul trucking, for which, by

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<v Speaker 3>the way, I rode over two thousand miles with a

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<v Speaker 3>long haul trucker on a flatbed across the country to

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<v Speaker 3>try to get deep into the long haul trucking culture

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<v Speaker 3>and understand it. Then second culture I dig into is trafficking,

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<v Speaker 3>sex trafficking, because the vast majority of these victims eight

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<v Speaker 3>hundred and fifty of them are indeed sex trafficking victims.

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<v Speaker 3>And then thirdly, of course, the crime analysis, the behavioral

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<v Speaker 3>analysis of these crimes, and the people who work to

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<v Speaker 3>connect the dots to stop the killer. So it's a

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<v Speaker 3>book about three cultures focused around the most heinous killers,

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<v Speaker 3>the most compelling victims. Really a deep dive into trafficking

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<v Speaker 3>and crime analysis.

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<v Speaker 2>Let's talk about Catherine Devein and the Highway Serial Killings Initiative.

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<v Speaker 3>Yeah, indeed, one of the people I spent a great

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<v Speaker 3>deal of time with was Catherine Devane. And by the way,

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<v Speaker 3>that is a pseudonym. You know, serial killers tend to

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<v Speaker 3>be a bit unpleasant, and so the head of the

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<v Speaker 3>initiative is you know, asked me to please use an

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<v Speaker 3>alias and I did. And she's been doing this for

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<v Speaker 3>seventeen years. And her job is to lead a team

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<v Speaker 3>that gathers the data from local, county and state law

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<v Speaker 3>enforcement agencies around the country with regard to their unsolved

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<v Speaker 3>highway killings. And she starts connecting the dots. And yes,

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<v Speaker 3>there are fils and ow algorithms, but quite honestly, also

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<v Speaker 3>it is brain power. It is their knowledge and expertise

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<v Speaker 3>that says this one looks like that one. And I

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<v Speaker 3>get deep in the book into commonalities victims, something called victimology,

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<v Speaker 3>of course, which is the study of how a victim

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<v Speaker 3>comes to be the victim, what the crime scene looks like.

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<v Speaker 3>Are they redheads? And I get deep into the well

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<v Speaker 3>known series of murders called the Redhead murders along our

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<v Speaker 3>nation's highways, committed by truckers. Are they shot? Are they strangled?

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<v Speaker 3>Are they duct taped? If so rare? Are they found

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<v Speaker 3>in a ditch, under a tree or in water? Is

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<v Speaker 3>their own clothing used to strangle them or to gag them?

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<v Speaker 3>Are they raped before they die or post mortem? All

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<v Speaker 3>of this is discussed in the book because those are

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<v Speaker 3>the details that matter, Those are the details that connect

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<v Speaker 3>one case to another. And then of course, even when

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<v Speaker 3>you've connected cases because of those commonalities, well that's nice,

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<v Speaker 3>but you then have to solve the case by finding

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<v Speaker 3>the killer. And this initiative is based on the premise

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<v Speaker 3>that law enforcement agencies will enter their data and allow

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<v Speaker 3>the FBI to make those connections. That's the key, and

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<v Speaker 3>part of Catherine De Bane's job is getting out there

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<v Speaker 3>on the road preaching the gospel of the HSK two

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<v Speaker 3>police departments who often say, look, we were a small department,

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<v Speaker 3>we're a sheriff's office. We don't have an analyst to

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<v Speaker 3>enter the data. You know, there's like two two hundred

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<v Speaker 3>questions on these FBI forms that you've got to fill

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<v Speaker 3>out about your victim, your crime scene, your location, your murder,

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<v Speaker 3>and if you don't answer those questions that the FBI

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<v Speaker 3>is really challenged. In fact, sometimes this unit at Quantico,

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<v Speaker 3>Virginia will simply pick up a lead from reading the newspaper.

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<v Speaker 3>They'll say, look, look at this. This happened in our

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<v Speaker 3>Alabama and doesn't this look like the thing that happened

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<v Speaker 3>the murder that happened in Oklahoma. It's those kinds of

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<v Speaker 3>connections that get made.

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<v Speaker 2>You're talking about that she's trying to impress to law

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<v Speaker 2>enforcement agencies about the importance of entering information into the

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<v Speaker 2>FBI's ViCAP Violent Criminal Apprehension Program, because, as you say,

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<v Speaker 2>it's essential that they put that information in. You also

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<v Speaker 2>chronicle in the book the reasons why on Earth they

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<v Speaker 2>wouldn't enter information into this database.

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<v Speaker 3>Yeah, the hsk I Highway Serial Killings Initiative is a

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<v Speaker 3>sub database within ViCAP, and many many police departments don't

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<v Speaker 3>even know it exists. So again, a large part of

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<v Speaker 3>the FBI's job is education and awareness, and then you

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<v Speaker 3>know as to reasons why that data may not get

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<v Speaker 3>entered at all. You got everything from a lack of

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<v Speaker 3>resources and budget to lack of computer resources. Again, some

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<v Speaker 3>of these departments don't even have a crime analyst, let alone.

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<v Speaker 3>Sometimes they don't have detectives. If you've got to stay

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<v Speaker 3>you know, a county sheriff's office, for example, whose job

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<v Speaker 3>is road patrol, and they're stuck with this case. Somebody's

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<v Speaker 3>got to do this, And in some cases, the IFI

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<v Speaker 3>will help get a grant from DOJ to get that

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<v Speaker 3>analytical resource. Sometimes, if you've got a serious of cases,

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<v Speaker 3>they'll they'll fly out to you and say, look, we'll

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<v Speaker 3>enter the data for you, but this is garbage and

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<v Speaker 3>garbage out. We can't help you if we don't know

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<v Speaker 3>about your case.

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<v Speaker 2>Now you include the Nashville Metro Police Department homicide detective

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<v Speaker 2>path Postaglione, and he caught up with long hauler killer

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<v Speaker 2>Bruce Mendelhall sitting in his vehicle at a Tennessee truck stop.

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<v Speaker 2>Tell us about this case and this officer and Bruce Mendelhall.

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<v Speaker 3>Yeah, Mendenhall is another notorious repeated serial killer. And actually

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<v Speaker 3>this was a this was a good news story, if

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<v Speaker 3>there's any such thing in this business. By that, I

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<v Speaker 3>mean he was captured within two weeks of one of

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<v Speaker 3>his murders. And sometimes these things go on for literally decades, decades,

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<v Speaker 3>meaning they don't Sometimes it's decades before they the police

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<v Speaker 3>even know the name of a victim. DNA, by the way,

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<v Speaker 3>no surprise, is now solving many of these cold cases

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<v Speaker 3>where a detective says, well, I'll let me enter the

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<v Speaker 3>DNA and see what happens, and bingo, now we get

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<v Speaker 3>a connection to a killer or to DNA found on

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<v Speaker 3>another victim years ago. And that, by the way, that

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<v Speaker 3>happened a couple of times while I was writing this book,

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<v Speaker 3>I had to you know, I thought I had a

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<v Speaker 3>comprehensive understanding of all the cases, and then I had

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<v Speaker 3>set alerts on my on Google Alerts to alert me

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<v Speaker 3>if another development occurred in any case involving truckers and

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<v Speaker 3>killers and bingo. You know, I had a couple happened

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<v Speaker 3>while I was writing the book and I had to

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<v Speaker 3>insert them. So the story of the story of yeah,

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<v Speaker 3>so it's very much still happening. This is not a

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<v Speaker 3>history book. It is, but it's also still very much

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<v Speaker 3>at real time. So Mendenhall interesting story. And there's something

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<v Speaker 3>really kind of spooky that happens to me personally I'll

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<v Speaker 3>share with you. But he grabs a girl named Sarah

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<v Speaker 3>Nicole Hulibert at a truck stop, and yes, she is

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<v Speaker 3>a trafficking victim related to that. That truck stop, it's

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<v Speaker 3>it's one of the rare truck stops that is in

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<v Speaker 3>a downtown area of a city. You don't usually see that,

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<v Speaker 3>but the highway dumps you off quickly into Nashville, and

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<v Speaker 3>this truck stop was there, and he grabs her. There. Now,

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<v Speaker 3>a really sharp detective named Pat pestil Pastilione, Nashville, PD

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<v Speaker 3>is work and gets assigned to that case, and he's,

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<v Speaker 3>you know, occasionally he's surveilling that truck stop afterwards, just

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<v Speaker 3>to get familiar with it. And sure enough he sees

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<v Speaker 3>this truck. It seems suspicious to him, him the way

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<v Speaker 3>the driver's acting, and he decides he's going to walk

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<v Speaker 3>up and talk to the driver. And he says something

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<v Speaker 3>to Mendenhall, like are you the guy we're looking for?

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<v Speaker 3>And Mendenhall shrugs his shoulders and says, if you say so.

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<v Speaker 3>And in that truck Pasciglione finds basically a mobile crime scene.

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<v Speaker 3>He's got blood from five different victims in there, He's

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<v Speaker 3>got sex toys and knives and guns and pornography. It's

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<v Speaker 3>then that POSTIONI knows, of course, that he's got his man. Now, ironically,

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<v Speaker 3>as I'm on the road researching this book, I happen

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<v Speaker 3>to find myself riding through Nashville past Nashville, and I've

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<v Speaker 3>spent a week with this particular driver who was gracious

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<v Speaker 3>enough to have me sleep in his cabin, ride along

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<v Speaker 3>with him for thousands of miles, and I go, look,

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<v Speaker 3>you know, it is time for me to go home.

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<v Speaker 3>We've got to find an airport that I can you know,

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<v Speaker 3>I can get I can get to and get home.

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<v Speaker 3>And we realized the next big city coming up with

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<v Speaker 3>an airport is Nashville. And I am, you know, as

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<v Speaker 3>many people who spend time in a long time in

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<v Speaker 3>a truck, I'm in need of a shower. And so

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<v Speaker 3>he goes, look, we'll pull off at this in Nashville.

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<v Speaker 3>We'll stop at this truck stop and you can take

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<v Speaker 3>a shower at the truck stop and get and then

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<v Speaker 3>take an uber to the airport. And as I'm inside

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<v Speaker 3>this truck stop and I'm showering, I start thinking about

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<v Speaker 3>where I am, and I realize I am at the

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<v Speaker 3>very same truck stop where Mendenhall killed Sarah Hulbert and

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<v Speaker 3>where Mendenhall was arrested as well. That you know, there

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<v Speaker 3>were coincidences throughout my trip, but this one really struck me.

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<v Speaker 2>You say, in your journey with this truck driver you

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<v Speaker 2>call Mike, you learned of the many characteristics of truckers

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<v Speaker 2>that would lend themselves to an environment conducive to serial killing.

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<v Speaker 3>Yeah. Again, twenty five years as an FBI agent, I

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<v Speaker 3>didn't want to write a book that just regurgitated high

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<v Speaker 3>profile killer truckers. I mean, many true crime fans know

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<v Speaker 3>many of these murders and many of these victims. I

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<v Speaker 3>didn't want to write that book. I wanted to write

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<v Speaker 3>a book that said, and by the way, I'm an investigator,

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<v Speaker 3>and I have my own theories. I want to ask

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<v Speaker 3>the questions like which truckers are more likely to be killers?

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<v Speaker 3>I also asked the question which victims, which kinds of

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<v Speaker 3>sex trafficked women and girls are more likely to be killed.

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<v Speaker 3>This is the kind of thing that I'm trained to

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<v Speaker 3>do as an FBI agent, and I wanted to kind

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<v Speaker 3>of help my colleagues in law enforcement to focus more squarely. So,

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<v Speaker 3>for example, when I asked the head of this FBI initiative, so, look,

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<v Speaker 3>you've got about eight hundred and fifty killings that you

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<v Speaker 3>know of over the years. You're telling me that twenty

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<v Speaker 3>five long haul truckers are already in prison for multiple merders.

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<v Speaker 3>And yet you're telling me there's also about two hundred

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<v Speaker 3>cases that are considered unsolved and active. How many suspects

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<v Speaker 3>do you have right now that you're actively working in

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<v Speaker 3>these unsolved cases? The answer staggered me. It was four

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<v Speaker 3>hundred and fifty suspects right.

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<v Speaker 2>Now that are on the roof.

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<v Speaker 3>So I say that to say that I wanted to

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<v Speaker 3>get in the weeds about Okay, how do we break

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<v Speaker 3>this down? There's just too many truckers. So I get

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<v Speaker 3>into the different kinds of trucking. There's a hierarchy of trucking.

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<v Speaker 3>You've got people at the high end of the pace

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<v Speaker 3>scale that are doing flatbed. I happen to ride flatbed.

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<v Speaker 3>What does that mean? It means you've got to have

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<v Speaker 3>some knowledge of math and physics, weight distribution, strapping and

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<v Speaker 3>chaining and tarping your load, meeting mandatory DOT requirements for

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00:20:12.720 --> 00:20:15.079
<v Speaker 3>points of securement based on the size and weight of

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00:20:15.119 --> 00:20:17.720
<v Speaker 3>your load. You've got to determine whether you can even

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<v Speaker 3>get gas today because your load's too heavy or not.

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<v Speaker 3>You're physically engaged with the load because you are the

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<v Speaker 3>one that is doing the chains and straps. You know what,

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<v Speaker 3>One day we picked up and carried a what's called

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<v Speaker 3>a suicide coil, which is an incredibly heavy roll of

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<v Speaker 3>steel and that has to be chained and strapped and

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<v Speaker 3>secured properly. And why is it called a suicide coil

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<v Speaker 3>because if you do it wrong and it's not secured,

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<v Speaker 3>it could roll right through the back of your cab.

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<v Speaker 3>So you don't want that happening, so I go through.

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<v Speaker 3>You know, those people are paid well. But even more

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<v Speaker 3>higher pay is for truckers who do the heavy loads

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<v Speaker 3>that you see on the highway, you know with the

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<v Speaker 3>follow car and the lead car hey load, heavy load.

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<v Speaker 3>Or there's also something called low boys. Low boys are

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<v Speaker 3>inches off the ground because their cargo, their load is

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<v Speaker 3>extremely tall and requires the lower profile truck so it

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<v Speaker 3>can fit under bridges and such. You've got hasmat people

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<v Speaker 3>who carry has mat. They're well paid. You've got reefer

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<v Speaker 3>drivers that refers to refrigerated trucks where our nation's produce

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<v Speaker 3>is transported. And then you have what's called the dry banners,

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<v Speaker 3>the guys and gals who are carrying you know, dry goods,

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<v Speaker 3>a load of Kleenex from California to North Carolina. That's

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<v Speaker 3>the simplest form of driving. I'm not saying it's easy,

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<v Speaker 3>but their physical engagement with the load consists of opening

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<v Speaker 3>the back door when they drop off their load. So

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<v Speaker 3>I get into the psychology of that. Who does what

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<v Speaker 3>and who's more likely to be the killer. I also

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<v Speaker 3>talk about corporate drivers, you know, big names we all

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<v Speaker 3>are familiar with. We see it on the side of

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<v Speaker 3>the trailers, right JB. Hunt, Warner, et cetera. And the

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<v Speaker 3>high tech monitoring that goes on in those companies making

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<v Speaker 3>it a little less likely that that driver has the

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<v Speaker 3>time to kill and the opportunity to kill. I talk

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<v Speaker 3>about own owner operators who have a little more free

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<v Speaker 3>license and less monitoring. I do the same thing for

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<v Speaker 3>the victim side and talk about the different kinds of

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<v Speaker 3>sex trade and pimp controlled girls. And I say girls

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<v Speaker 3>by the way, because some of them are literally not

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<v Speaker 3>not women yet they're they're miners. Most start as miners

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<v Speaker 3>in the trafficking world. And I get into you know,

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<v Speaker 3>whether a pimp controlled girl or renegade or an outlaws

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<v Speaker 3>these are different terminolog's a different terminology that describes trafficking

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<v Speaker 3>victims who's more likely to die. And some of the theories

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<v Speaker 3>in the book I hope may help law enforcement.

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<v Speaker 2>That's as an opportunity to stop to hear these messages.

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<v Speaker 2>You talk about also the analysis of the kinds of

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<v Speaker 2>offenders that have been seen in these trucker serial killing cases.

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<v Speaker 2>And now are seeing more recently. So tell us about

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<v Speaker 2>the type of offenders that have been analyzed.

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<v Speaker 3>Yeah, there's not so. I'm careful to say after talking

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<v Speaker 3>to the experts that there's not a huge distinction between

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<v Speaker 3>the average There is such a thing as an average

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<v Speaker 3>serial killer and a trucker serial killer. There are, of course,

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<v Speaker 3>some obvious distinctions, but essentially serial killers, including the truckers,

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<v Speaker 3>fall into one of two categories. The one The first

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<v Speaker 3>one is where the killer simply enjoys the power of

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<v Speaker 3>life and death. He gets off on that and even

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<v Speaker 3>to the point of sexual satisfaction. Often those people take

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<v Speaker 3>their time killing. They like that feeling of prolonged power

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<v Speaker 3>and control, and they they often will rape their victims,

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<v Speaker 3>perhaps multiple times, as as Robert ben Rhodes did. And

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<v Speaker 3>then there's the second kind of killer who dispatches with

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<v Speaker 3>his victims very quickly because he's about killing. He just

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<v Speaker 3>wants to kill, and it's not so much about sex.

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<v Speaker 3>Now he may again become aroused with the killing and

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<v Speaker 3>thinking about it afterwards and take a souvenir, but he's

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<v Speaker 3>going to kill very quickly. He's about the killing, often

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<v Speaker 3>not interested in sex at all.

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<v Speaker 2>Tell us about this the reality of the trucking industry

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<v Speaker 2>and the intersection between addicted women and the reality of

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<v Speaker 2>the trucking industry and commercial sex.

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<v Speaker 3>Yeah, there's a long history here and I get into

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<v Speaker 3>that in the book. You know, even in the days

381
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<v Speaker 3>where there was a widespread usage of the CB radio,

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<v Speaker 3>which is less happens less today, but it was all

383
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<v Speaker 3>about the CB radio. And of course, you know, uh,

384
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<v Speaker 3>CB radio back then was kind of the let's say,

385
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<v Speaker 3>the social media of the trucking world. People would get

386
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<v Speaker 3>to know each other. They would talk incessantly to the

387
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<v Speaker 3>truckers would talk incessantly to other truckers. They talk about

388
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<v Speaker 3>their kids and their family, where the good food was,

389
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<v Speaker 3>and where the cheapest gas was, and hey, look out

390
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<v Speaker 3>ahead because there's a traffic jam, bad weather's coming. All

391
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<v Speaker 3>of that happened on the CB radio. But you know

392
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<v Speaker 3>what else happened on the CB radio advertising for sex.

393
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<v Speaker 3>And there's a whole language of that that I get

394
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<v Speaker 3>into in the book and explain the coded language, you know,

395
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<v Speaker 3>and truckers would say, who would pull into a truck

396
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<v Speaker 3>stop would say to the the would be a sexual partner. Yeah,

397
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<v Speaker 3>I'm in the red house in the corner well, that's

398
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<v Speaker 3>the red truck in the corner of the of the

399
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<v Speaker 3>truck stop, and the advertising would happen there, and the

400
00:25:55.400 --> 00:25:59.359
<v Speaker 3>communication would happen there. It's much and so a lot

401
00:25:59.359 --> 00:25:59.759
<v Speaker 3>of that.

402
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<v Speaker 2>Then.

403
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<v Speaker 3>It still happens today, but to a much lesser extent.

404
00:26:03.400 --> 00:26:09.720
<v Speaker 3>It was actually physical transactions were happening in the truck stops,

405
00:26:09.799 --> 00:26:13.559
<v Speaker 3>in the parking lot, in the truck itself. These trafficked

406
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<v Speaker 3>women would work the parking lots and or the restaurants

407
00:26:18.480 --> 00:26:21.279
<v Speaker 3>at the truck stop. And that's how they do it,

408
00:26:21.359 --> 00:26:26.039
<v Speaker 3>often with a pimp watching or nearby, or what's called

409
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<v Speaker 3>a bottom, and I get into that language of its

410
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<v Speaker 3>own there. A bottom is kind of the deputy, the

411
00:26:31.880 --> 00:26:35.119
<v Speaker 3>deputy to the pimp, the assistant to the It's a girl,

412
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<v Speaker 3>a woman who's been around and who the pimp trusts.

413
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<v Speaker 3>She's she's worked her she's worked the business herself, and

414
00:26:43.240 --> 00:26:47.000
<v Speaker 3>she's very close watching. That's a pimp controlled situation. And

415
00:26:47.079 --> 00:26:49.319
<v Speaker 3>it happened. The whole thing is it happened in the

416
00:26:49.359 --> 00:26:51.839
<v Speaker 3>truck and at the truck stop. Okay where I moved?

417
00:26:51.880 --> 00:26:55.599
<v Speaker 3>Fast forward to today and much of this has gone online,

418
00:26:55.759 --> 00:26:59.160
<v Speaker 3>no surprise. The advertising usually occurs online even as I

419
00:26:59.200 --> 00:27:03.000
<v Speaker 3>was traveling, I was checking out spots on the internet

420
00:27:03.200 --> 00:27:06.759
<v Speaker 3>that cater to sex and truckers. You know, ads from

421
00:27:06.799 --> 00:27:10.599
<v Speaker 3>women saying I'm trucker friendly, I'll come to you, or

422
00:27:10.640 --> 00:27:12.799
<v Speaker 3>you can come to me. And a lot of this

423
00:27:13.000 --> 00:27:17.720
<v Speaker 3>has gone to as the as the truck stop industry. Boy,

424
00:27:17.799 --> 00:27:19.720
<v Speaker 3>is that a big industry. I get into that in

425
00:27:19.759 --> 00:27:22.680
<v Speaker 3>the book too. Man, we're talking, you know, billion dollar

426
00:27:22.720 --> 00:27:25.720
<v Speaker 3>industry here and and by the way, they're buying each

427
00:27:25.720 --> 00:27:29.240
<v Speaker 3>other up, so it's connected, you know, you know Ta

428
00:27:29.359 --> 00:27:34.200
<v Speaker 3>t you know, the TA Travel America and and all

429
00:27:34.240 --> 00:27:36.599
<v Speaker 3>of these loves and the other big ones they're they're

430
00:27:36.640 --> 00:27:41.599
<v Speaker 3>kind of consolidating. And trucking companies actually get discounts by

431
00:27:41.799 --> 00:27:46.400
<v Speaker 3>joining the club of one of those truck stops, so

432
00:27:46.440 --> 00:27:50.640
<v Speaker 3>they gets the drivers get discounted gas, they get discounted

433
00:27:50.680 --> 00:27:54.559
<v Speaker 3>showers or free showers at those truck stops. But today

434
00:27:54.559 --> 00:27:57.839
<v Speaker 3>it's gone offline, it's gone online, excuse me, And so

435
00:27:57.920 --> 00:28:00.519
<v Speaker 3>it happens at massage parlors near the tr truck stop,

436
00:28:01.000 --> 00:28:05.319
<v Speaker 3>or cheap motels near the truck stop, or the woman

437
00:28:05.400 --> 00:28:09.960
<v Speaker 3>will show up after an online agreement at the truck stop.

438
00:28:10.000 --> 00:28:12.559
<v Speaker 3>And I asked the question in the book, is that

439
00:28:12.680 --> 00:28:17.079
<v Speaker 3>more or less dangerous than the physical plying of your

440
00:28:17.119 --> 00:28:21.039
<v Speaker 3>trade at the truck stop itself. You could argue that

441
00:28:21.680 --> 00:28:24.680
<v Speaker 3>making that sex and money transaction happen at a truck

442
00:28:24.680 --> 00:28:27.799
<v Speaker 3>stop might actually be safer in the sense that a

443
00:28:27.880 --> 00:28:31.680
<v Speaker 3>victim can kick and scream and bang on the window

444
00:28:31.720 --> 00:28:34.759
<v Speaker 3>of the truck and somebody's probably going to hear it,

445
00:28:34.960 --> 00:28:38.440
<v Speaker 3>and a pimp or a bottom is watching nearby and

446
00:28:38.519 --> 00:28:41.240
<v Speaker 3>could come to resk come to the rescue, as could

447
00:28:41.279 --> 00:28:44.640
<v Speaker 3>other truckers. And maybe this is this is more dangerous

448
00:28:44.640 --> 00:28:48.359
<v Speaker 3>now as a woman a victim is exposing herself in

449
00:28:48.400 --> 00:28:51.960
<v Speaker 3>a room alone at a cheap motel. I get into

450
00:28:52.039 --> 00:28:52.519
<v Speaker 3>that as well.

451
00:28:54.359 --> 00:28:58.839
<v Speaker 2>You take us to a case that exemplifies what victimology

452
00:28:58.920 --> 00:29:03.039
<v Speaker 2>is all about, cases like the red Head murders in

453
00:29:03.039 --> 00:29:07.559
<v Speaker 2>West Memphis, Arkansas, September nineteen eighty four. Can you tell

454
00:29:07.640 --> 00:29:08.880
<v Speaker 2>us about the Redhead murders.

455
00:29:09.599 --> 00:29:12.440
<v Speaker 3>Yeah, And most of your listeners who are really into

456
00:29:12.519 --> 00:29:16.039
<v Speaker 3>true crime, they're gonna know about the red Head murders.

457
00:29:16.079 --> 00:29:20.559
<v Speaker 3>In fact, there's even been high school criminal justice classes

458
00:29:20.599 --> 00:29:24.079
<v Speaker 3>where high school kids have devoted a semester or more

459
00:29:24.200 --> 00:29:27.680
<v Speaker 3>to studying and trying to solve the red head killings.

460
00:29:27.680 --> 00:29:31.720
<v Speaker 3>And the bottom line is that while we're looking at somewhere,

461
00:29:31.920 --> 00:29:34.440
<v Speaker 3>we can't even get agreement on how many victims are

462
00:29:34.440 --> 00:29:38.079
<v Speaker 3>part of the red head killings. But there's something between

463
00:29:38.119 --> 00:29:41.640
<v Speaker 3>ten and fourteen, you know, that's where we're looking at.

464
00:29:41.680 --> 00:29:45.960
<v Speaker 3>And these are historical. They're not happening anymore. Definitely, there's

465
00:29:46.000 --> 00:29:50.799
<v Speaker 3>been one suspect that's good for several of them, but

466
00:29:52.039 --> 00:29:55.880
<v Speaker 3>not necessarily all of them. So I consider the red

467
00:29:55.880 --> 00:30:01.240
<v Speaker 3>head killings to be only partially solid. And again this

468
00:30:01.319 --> 00:30:04.119
<v Speaker 3>gets deep into the victimology. When you've got you know,

469
00:30:04.160 --> 00:30:08.079
<v Speaker 3>it's very it's very interesting when you've got the same

470
00:30:08.160 --> 00:30:13.480
<v Speaker 3>hair color happening, the same bill, the same age range.

471
00:30:14.200 --> 00:30:16.960
<v Speaker 3>But that's what we have with the redhead killings, historically,

472
00:30:17.480 --> 00:30:23.319
<v Speaker 3>red or auburn hair, fair skinned complexion. And without a doubt,

473
00:30:24.359 --> 00:30:27.720
<v Speaker 3>the suspect and suspects I had a prefer this is

474
00:30:27.759 --> 00:30:32.680
<v Speaker 3>a preferential killing. This, this person, this victim meets their

475
00:30:33.400 --> 00:30:37.400
<v Speaker 3>their criteria in this case because of hair color. And

476
00:30:37.559 --> 00:30:40.960
<v Speaker 3>they weren't in just in one location. They were absolutely

477
00:30:41.039 --> 00:30:44.440
<v Speaker 3>kind of most of them along Eye forty, which runs

478
00:30:44.480 --> 00:30:48.640
<v Speaker 3>east to west across southern United States, all the way

479
00:30:48.680 --> 00:30:52.079
<v Speaker 3>to California. That's where a lot of this happened Tennessee, Kentucky,

480
00:30:52.960 --> 00:30:55.920
<v Speaker 3>particularly for the Redhead killings.

481
00:30:57.759 --> 00:31:00.480
<v Speaker 2>You talk about a girl and you say the title

482
00:31:00.559 --> 00:31:04.359
<v Speaker 2>of the chapters girls next Door, and again probably an

483
00:31:04.400 --> 00:31:08.359
<v Speaker 2>alias Hannah Abritt. Yes, tell us what you learned from

484
00:31:08.440 --> 00:31:09.880
<v Speaker 2>speaking with Hannah Everrett.

485
00:31:10.519 --> 00:31:14.720
<v Speaker 3>Yeah, I'm going to admit. I'll make a confession of

486
00:31:14.759 --> 00:31:17.680
<v Speaker 3>my own here that I think I had a bias.

487
00:31:18.119 --> 00:31:22.000
<v Speaker 3>That is that, well, you know, trafficked victims, young ladies

488
00:31:22.000 --> 00:31:26.440
<v Speaker 3>who fall into the trafficking trap. They probably come from

489
00:31:26.480 --> 00:31:31.240
<v Speaker 3>a disadvantaged background and bad families and blah blah blah blah.

490
00:31:31.279 --> 00:31:36.119
<v Speaker 3>Well I'm wrong. I'm wrong about that. And if nothing else,

491
00:31:36.160 --> 00:31:39.279
<v Speaker 3>this book could open people's eyes that trafficking can happen

492
00:31:39.319 --> 00:31:42.839
<v Speaker 3>to someone, you know. So, two of the victims I

493
00:31:42.880 --> 00:31:47.359
<v Speaker 3>spoke to, who, by the way, survived violent encounters with truckers.

494
00:31:47.400 --> 00:31:50.799
<v Speaker 3>They truly are survivors. And these two women in particular,

495
00:31:50.960 --> 00:31:54.000
<v Speaker 3>I consider thrivers. They'll tell you I am a i ami.

496
00:31:54.079 --> 00:31:56.400
<v Speaker 3>I am no longer a victim. I am a thriver.

497
00:31:56.599 --> 00:31:58.880
<v Speaker 3>I am a survivor and a thriver. In fact, both

498
00:31:58.920 --> 00:32:03.880
<v Speaker 3>of these women are now associated with organizations that help

499
00:32:04.279 --> 00:32:07.880
<v Speaker 3>other women get out of the trafficking trap. But my

500
00:32:08.000 --> 00:32:11.960
<v Speaker 3>point on kind of breaking my bias about who falls

501
00:32:12.200 --> 00:32:16.400
<v Speaker 3>victim to this. One of these women was a preacher's

502
00:32:16.480 --> 00:32:19.920
<v Speaker 3>kid from the Midwest. The other Hannah you're referring to,

503
00:32:19.960 --> 00:32:23.559
<v Speaker 3>and that is a pseudonym for her. The other woman

504
00:32:23.839 --> 00:32:26.720
<v Speaker 3>doesn't didn't request a pseudonym. Her name is Nancy Yarborough.

505
00:32:27.400 --> 00:32:32.200
<v Speaker 3>She's got a great story. But Hannah came from the Midwest,

506
00:32:32.680 --> 00:32:36.319
<v Speaker 3>had a year of college. She's white as blue eyes.

507
00:32:36.960 --> 00:32:39.480
<v Speaker 3>This is not you know, this is not someone you

508
00:32:39.559 --> 00:32:43.119
<v Speaker 3>think what this would have happened to the family, you know,

509
00:32:43.160 --> 00:32:47.359
<v Speaker 3>went to church. But as I talked to these women,

510
00:32:48.240 --> 00:32:52.559
<v Speaker 3>in my mind, I started checking off the commonalities that

511
00:32:52.680 --> 00:32:56.119
<v Speaker 3>I was taught by two of the top experts in

512
00:32:56.160 --> 00:33:01.720
<v Speaker 3>the country on trafficking, and that those two extras they

513
00:33:01.720 --> 00:33:05.799
<v Speaker 3>are they are kind of hands on on the street

514
00:33:06.519 --> 00:33:11.799
<v Speaker 3>doing work that gets people out the help they need

515
00:33:11.839 --> 00:33:13.960
<v Speaker 3>to get out of the trafficking trap. And so I

516
00:33:14.000 --> 00:33:17.000
<v Speaker 3>was very impressed. But they taught me the commonalities to

517
00:33:17.039 --> 00:33:20.160
<v Speaker 3>look for, and sure enough, I, you know, I would

518
00:33:20.200 --> 00:33:24.680
<v Speaker 3>talk to these these victims and survivors and in my mind,

519
00:33:24.720 --> 00:33:27.559
<v Speaker 3>here we go. I've seen. I'm seeing the trauma at

520
00:33:27.599 --> 00:33:32.680
<v Speaker 3>an early age. Often that means unwanted touching or sexual molestation.

521
00:33:33.519 --> 00:33:37.319
<v Speaker 3>I'm seeing a tower of trauma, I call it. In

522
00:33:37.359 --> 00:33:40.640
<v Speaker 3>their lives. Someone close to them dies, the family member dies,

523
00:33:40.680 --> 00:33:44.960
<v Speaker 3>there's divorce, there's there's fighting, there's domestic incidents. Then there's

524
00:33:45.880 --> 00:33:49.400
<v Speaker 3>early drug use is very common to see. Then there's

525
00:33:49.480 --> 00:33:52.920
<v Speaker 3>a series of bad boyfriends, and the drug use gets

526
00:33:53.000 --> 00:33:58.720
<v Speaker 3>heavier and heavier, and mental health issues and drug abuse

527
00:33:59.240 --> 00:34:03.039
<v Speaker 3>are freak found in these cases. And you know the

528
00:34:03.079 --> 00:34:07.079
<v Speaker 3>other takeaway here and again the experts support this is again,

529
00:34:07.119 --> 00:34:08.960
<v Speaker 3>if you think, well, this can't happen to someone in

530
00:34:08.960 --> 00:34:13.960
<v Speaker 3>my family or my neighborhood, it does. It does this.

531
00:34:13.960 --> 00:34:16.199
<v Speaker 3>This kind of myth is out there from the movies

532
00:34:16.239 --> 00:34:20.400
<v Speaker 3>and TV that we see a stranger abduction, a young

533
00:34:20.440 --> 00:34:23.119
<v Speaker 3>girl is thrown into the back of a van, never

534
00:34:23.159 --> 00:34:26.039
<v Speaker 3>to be seen again, trafficked international. I'm not saying that

535
00:34:26.079 --> 00:34:29.079
<v Speaker 3>doesn't happen, but that's rare. But what is far more

536
00:34:29.119 --> 00:34:33.440
<v Speaker 3>common is that someone in their own circle, their own

537
00:34:33.599 --> 00:34:40.400
<v Speaker 3>network of friends and relations, eventually grooms and convinces them

538
00:34:40.960 --> 00:34:44.719
<v Speaker 3>to be trafficked. And if you were to ask them

539
00:34:44.760 --> 00:34:47.679
<v Speaker 3>at that age, hey, are you Are you a trafficking victim?

540
00:34:47.920 --> 00:34:49.440
<v Speaker 3>They would look at you and say, I don't know

541
00:34:49.480 --> 00:34:52.440
<v Speaker 3>what you're talking about. My boyfriend has me, you know,

542
00:34:52.559 --> 00:34:56.800
<v Speaker 3>in a business where I have sex for money, and okay,

543
00:34:56.960 --> 00:34:59.639
<v Speaker 3>but only later do they wait a minute. I was

544
00:34:59.679 --> 00:35:02.960
<v Speaker 3>travel and it gets worse from there as the drug

545
00:35:03.000 --> 00:35:06.800
<v Speaker 3>addiction and the mental illness and trauma take over. And

546
00:35:06.840 --> 00:35:10.239
<v Speaker 3>then there's your judgment simply flies out the window, and

547
00:35:10.280 --> 00:35:15.119
<v Speaker 3>you're putting yourself literally in harm's way every day, multiple

548
00:35:15.199 --> 00:35:15.760
<v Speaker 3>times a day.

549
00:35:16.719 --> 00:35:18.800
<v Speaker 2>Let's use this as an opportunity to stop to hear

550
00:35:18.840 --> 00:35:23.760
<v Speaker 2>these messages. You talk of what you've learned from the

551
00:35:23.880 --> 00:35:29.280
<v Speaker 2>pioneer professor, doctor Celia Williamson and her fight against human

552
00:35:29.320 --> 00:35:33.360
<v Speaker 2>trafficking and prostitution at the University of Toledo and director

553
00:35:33.400 --> 00:35:37.679
<v Speaker 2>of the Human Trafficking and Social Justice Institute and the

554
00:35:37.679 --> 00:35:42.320
<v Speaker 2>Second Chance Program, and then you also talk about, of

555
00:35:42.400 --> 00:35:47.599
<v Speaker 2>course Terry Turner, Oklahoma crime analysts. So let's talk about

556
00:35:47.719 --> 00:35:50.199
<v Speaker 2>some of the initiatives that some of the things you

557
00:35:50.280 --> 00:35:55.960
<v Speaker 2>learned from doctor Celia Williamson and also the initiatives by

558
00:35:56.320 --> 00:35:57.000
<v Speaker 2>Terry Turner.

559
00:35:58.159 --> 00:36:00.960
<v Speaker 3>Yeah. There, you know, there are killer in my book,

560
00:36:01.400 --> 00:36:04.360
<v Speaker 3>but there are also heroes in my book, and you've

561
00:36:04.440 --> 00:36:08.039
<v Speaker 3>just mentioned some of those heroes. I can't say enough

562
00:36:08.039 --> 00:36:12.400
<v Speaker 3>good things about doctor Celia Williamson and the Second Chance

563
00:36:12.440 --> 00:36:16.559
<v Speaker 3>Program and the work she's doing to really make a

564
00:36:16.559 --> 00:36:19.760
<v Speaker 3>difference in her community. And the same goes for doctor

565
00:36:20.039 --> 00:36:25.599
<v Speaker 3>Dominicuro Sepowitz at Arizona State. Doctor Sepowitz has a place

566
00:36:25.679 --> 00:36:29.599
<v Speaker 3>called Starfish Place in Phoenix, Arizona. It's a joint effort

567
00:36:29.719 --> 00:36:34.440
<v Speaker 3>between the City of Phoenix and Arizona State University. It's

568
00:36:34.480 --> 00:36:37.400
<v Speaker 3>a residential program. I visited there myself. I had to

569
00:36:37.440 --> 00:36:41.559
<v Speaker 3>see it for myself, see the young ladies. It's specifically

570
00:36:41.880 --> 00:36:46.039
<v Speaker 3>for young women who have young children, and those women

571
00:36:46.079 --> 00:36:49.960
<v Speaker 3>are want to come out of trafficking, and they get

572
00:36:50.000 --> 00:36:55.000
<v Speaker 3>their own apartment on this campus, this facility and all

573
00:36:55.079 --> 00:36:58.159
<v Speaker 3>the help they need. The support system is there, the

574
00:36:58.360 --> 00:37:03.559
<v Speaker 3>education opportunities are there, life awareness, life coaching, all of

575
00:37:03.599 --> 00:37:06.400
<v Speaker 3>that's there to help them on their way, including in

576
00:37:06.440 --> 00:37:10.960
<v Speaker 3>many cases of free, subsidized, free or subsidized housing. That

577
00:37:11.159 --> 00:37:14.079
<v Speaker 3>is the key to getting them away from their pimp

578
00:37:14.320 --> 00:37:18.280
<v Speaker 3>or their bad boyfriend relationship. And occasionally, you know, it's

579
00:37:18.280 --> 00:37:22.639
<v Speaker 3>a very secure campus lockdown because sometimes those pimps will

580
00:37:22.679 --> 00:37:26.239
<v Speaker 3>show up trying to get their girl back. But I

581
00:37:26.320 --> 00:37:30.039
<v Speaker 3>visited there. I was completely impressed. And doctor Stepowiz also

582
00:37:30.119 --> 00:37:32.519
<v Speaker 3>is doing some amazing research. I mean, she was the

583
00:37:33.320 --> 00:37:37.119
<v Speaker 3>first one that pointed out the trafficking that goes on,

584
00:37:37.199 --> 00:37:43.159
<v Speaker 3>particularly of underage victims at major American events like the

585
00:37:43.239 --> 00:37:47.000
<v Speaker 3>super Bowl. And she has received grants to study trafficking

586
00:37:47.119 --> 00:37:49.760
<v Speaker 3>at the super Bowl, people with money traveling from all

587
00:37:49.800 --> 00:37:52.599
<v Speaker 3>over the world to get those really expensive tickets to

588
00:37:52.679 --> 00:37:56.760
<v Speaker 3>watch the super Bowl. These are big players, right for

589
00:37:56.800 --> 00:38:00.719
<v Speaker 3>some reason, they decide, you know, it's time also to

590
00:38:00.719 --> 00:38:04.360
<v Speaker 3>to pay for sex, often of underage people. And she's

591
00:38:04.360 --> 00:38:07.360
<v Speaker 3>done some amazing work in that area with the police.

592
00:38:08.159 --> 00:38:10.719
<v Speaker 3>And she's also one of the people like doctor Williamson

593
00:38:10.760 --> 00:38:15.920
<v Speaker 3>who says this nonsense about handcuffing trafficking victims and charging

594
00:38:15.920 --> 00:38:19.679
<v Speaker 3>them with crimes. This has to stop. And she's really

595
00:38:19.719 --> 00:38:22.679
<v Speaker 3>made the police departments in places like Phoenix and in

596
00:38:22.760 --> 00:38:26.960
<v Speaker 3>Las Vegas very much change their practice. It's also happened

597
00:38:27.000 --> 00:38:30.679
<v Speaker 3>in Toledo with doctor Williamson in the Sheriff's department in

598
00:38:30.760 --> 00:38:34.360
<v Speaker 3>Ohio that say, look, when they come upon a victim,

599
00:38:35.159 --> 00:38:39.639
<v Speaker 3>they say, you're not getting arrested today. You are going

600
00:38:39.719 --> 00:38:42.280
<v Speaker 3>to be asked what you need to get away from

601
00:38:42.280 --> 00:38:47.639
<v Speaker 3>this lifestyle? I say lifestyle. It's a victimisition, is what

602
00:38:47.679 --> 00:38:52.480
<v Speaker 3>it is. It's trafficking, but generally it's involuntary servitude. But

603
00:38:52.559 --> 00:38:57.000
<v Speaker 3>this is very successful because here comes not just the police,

604
00:38:57.000 --> 00:39:00.440
<v Speaker 3>but the social services people partnering with the police. So

605
00:39:00.519 --> 00:39:02.400
<v Speaker 3>if that young woman says, well, what I need is

606
00:39:02.400 --> 00:39:04.519
<v Speaker 3>a roof over my head to get out of this situation,

607
00:39:04.920 --> 00:39:07.719
<v Speaker 3>or what I need is a certificate so I can

608
00:39:07.760 --> 00:39:09.639
<v Speaker 3>go cut hair for a living, or whatever it is

609
00:39:09.679 --> 00:39:12.400
<v Speaker 3>they want to do. I need diapers for my baby.

610
00:39:12.840 --> 00:39:15.719
<v Speaker 3>You know, how am I supposed to survive if I

611
00:39:15.719 --> 00:39:20.079
<v Speaker 3>don't make this income? And they changed the dynamic. And

612
00:39:20.119 --> 00:39:22.559
<v Speaker 3>I'm very impressed by those two heroes. And then you

613
00:39:22.599 --> 00:39:29.320
<v Speaker 3>mentioned Oklahoma State Bureau of Investigation crime analyst Terry Turner,

614
00:39:29.360 --> 00:39:34.679
<v Speaker 3>who retired right after I wrote the book. She is

615
00:39:35.639 --> 00:39:40.079
<v Speaker 3>the mother of this HSKI. Why do I say that

616
00:39:40.800 --> 00:39:46.599
<v Speaker 3>it was Terry Turner who many decades ago said we've

617
00:39:46.639 --> 00:39:49.880
<v Speaker 3>got a problem. And you know, you can imagine, say,

618
00:39:49.920 --> 00:39:54.840
<v Speaker 3>forty years ago, a female crime analyst in Oklahoma who

619
00:39:55.239 --> 00:40:00.679
<v Speaker 3>is kind of becoming a pest to her leadership by saying, hey, listen,

620
00:40:00.719 --> 00:40:05.239
<v Speaker 3>to me, there are young ladies from Oklahoma missing, and

621
00:40:05.280 --> 00:40:08.159
<v Speaker 3>they're turning up dead in other states. And I think

622
00:40:08.280 --> 00:40:11.239
<v Speaker 3>that this is being done by truckers. Look at this one,

623
00:40:11.320 --> 00:40:14.239
<v Speaker 3>look at that one. And she started in about a

624
00:40:14.360 --> 00:40:17.039
<v Speaker 3>year or two, she started piling up victims. She calls

625
00:40:17.039 --> 00:40:20.559
<v Speaker 3>them her girls, quote unquote her girls. Where she eventually

626
00:40:20.639 --> 00:40:24.320
<v Speaker 3>had ten victims from Oklahoma who were turning up dead,

627
00:40:25.039 --> 00:40:29.079
<v Speaker 3>and she founded her fist on the desk. She demanded

628
00:40:29.119 --> 00:40:33.679
<v Speaker 3>the FBI get involved. In fact, she called for a meeting.

629
00:40:33.719 --> 00:40:38.280
<v Speaker 3>She sent out a teletype to nationally to homicide detectives

630
00:40:38.280 --> 00:40:40.480
<v Speaker 3>and said, look, we're gonna have a meeting here in

631
00:40:40.480 --> 00:40:46.559
<v Speaker 3>Oklahoma City. If you've got unsolved highway killings, please come

632
00:40:46.599 --> 00:40:50.519
<v Speaker 3>to the meeting. We'll share notes. She thought maybe she'd

633
00:40:50.599 --> 00:40:56.199
<v Speaker 3>get ten or fifteen detectives show up. She had dozens

634
00:40:56.440 --> 00:41:01.440
<v Speaker 3>show up and they all had similar cases. And the

635
00:41:01.519 --> 00:41:05.760
<v Speaker 3>FBI showed up and went, holy cow, yes, you've met

636
00:41:05.760 --> 00:41:09.719
<v Speaker 3>the criteria for serial killings case and we're going to

637
00:41:09.760 --> 00:41:13.440
<v Speaker 3>help you. That was the birth of the FBI's Highway

638
00:41:13.440 --> 00:41:14.559
<v Speaker 3>Serial Killings Initiative.

639
00:41:16.599 --> 00:41:21.000
<v Speaker 2>You talk about this initiative also, you say you call

640
00:41:21.039 --> 00:41:25.400
<v Speaker 2>it a baptism of sorts when in the murky waters

641
00:41:25.400 --> 00:41:29.039
<v Speaker 2>of serial killings of September two thousand and three, where

642
00:41:29.079 --> 00:41:33.440
<v Speaker 2>a body was found near I forty in Tiger Mountain, Oklahoma.

643
00:41:34.400 --> 00:41:37.639
<v Speaker 2>The thing is, she reached out to other law agencies

644
00:41:37.840 --> 00:41:42.039
<v Speaker 2>to look for commonalities and similarities in other cases, and

645
00:41:42.079 --> 00:41:44.960
<v Speaker 2>she wound up right and involved in a case where

646
00:41:44.960 --> 00:41:47.920
<v Speaker 2>a serial killer was killing every month. Tell us about

647
00:41:47.960 --> 00:41:48.880
<v Speaker 2>this case.

648
00:41:50.119 --> 00:41:54.599
<v Speaker 3>Yeah, Oklahoma was the start of this whole initiative. And

649
00:41:54.719 --> 00:41:58.920
<v Speaker 3>you know, it's interesting. One of the things that you

650
00:41:59.039 --> 00:42:04.760
<v Speaker 3>take away from the book is there are definitely hubs

651
00:42:04.840 --> 00:42:12.320
<v Speaker 3>of trafficking with regard to interstate travel, and you can

652
00:42:12.400 --> 00:42:16.519
<v Speaker 3>figure these out by looking at the intersections of major

653
00:42:17.519 --> 00:42:21.519
<v Speaker 3>interstate highways that converge in a particular city. By the way,

654
00:42:21.559 --> 00:42:24.480
<v Speaker 3>Toledo is one of those. But another place where that

655
00:42:24.639 --> 00:42:30.360
<v Speaker 3>happens is in Oklahoma, and in the Oklahoma City area particularly.

656
00:42:30.920 --> 00:42:32.960
<v Speaker 3>What does that mean. It means, well, you have an

657
00:42:33.000 --> 00:42:36.960
<v Speaker 3>inordinately high number of long haul truckers passing through. It

658
00:42:37.039 --> 00:42:42.719
<v Speaker 3>means that you have a very high percentage of trafficked

659
00:42:42.760 --> 00:42:48.400
<v Speaker 3>women to so called service those truckers. And of course,

660
00:42:48.440 --> 00:42:50.519
<v Speaker 3>in this book it means and in this business, it

661
00:42:50.639 --> 00:42:54.880
<v Speaker 3>means you have an inordinately high percentage of victims coming

662
00:42:55.000 --> 00:43:01.159
<v Speaker 3>from your city. And that is what Terry Turner realized

663
00:43:01.400 --> 00:43:04.920
<v Speaker 3>what was happening. She connected those dots and said this

664
00:43:05.079 --> 00:43:10.559
<v Speaker 3>points to truckers. Tiger Mountain was a place where truckers.

665
00:43:10.559 --> 00:43:12.840
<v Speaker 3>It was, there was a rest stop there. It was

666
00:43:12.880 --> 00:43:15.960
<v Speaker 3>a logical place if you're traveling along in Ohio, but

667
00:43:16.000 --> 00:43:23.519
<v Speaker 3>it was also really wooded, forested, remote and the victims,

668
00:43:23.559 --> 00:43:26.360
<v Speaker 3>the trafficking victims knew that so that they would work

669
00:43:26.400 --> 00:43:29.840
<v Speaker 3>that area, that rest up. The truckers knew where they

670
00:43:29.880 --> 00:43:35.000
<v Speaker 3>could go to pay for sex. And without a doubt

671
00:43:35.119 --> 00:43:40.880
<v Speaker 3>when somebody accidentally stumbled upon a body at Tiger Mountain

672
00:43:41.320 --> 00:43:45.760
<v Speaker 3>that was helping to kick off Terry Turner's interest in

673
00:43:45.800 --> 00:43:46.519
<v Speaker 3>this whole thing.

674
00:43:48.639 --> 00:43:55.639
<v Speaker 2>Now, tell us about what happens in this initiative involving

675
00:43:56.159 --> 00:44:01.320
<v Speaker 2>the study of sex worker advertisements, probably pimps or by

676
00:44:02.000 --> 00:44:07.679
<v Speaker 2>those workers that work independently, but also what someone in

677
00:44:07.719 --> 00:44:13.000
<v Speaker 2>this team discovered would be to utilize that same advertising

678
00:44:13.239 --> 00:44:14.159
<v Speaker 2>to their advantage.

679
00:44:14.199 --> 00:44:19.559
<v Speaker 3>Can you explain, Yeah, and specifically we're talking about Professor

680
00:44:20.320 --> 00:44:23.480
<v Speaker 3>Dominique Roseepho Wits at Arizona State University. Again, the director

681
00:44:23.480 --> 00:44:26.519
<v Speaker 3>of Starfish Place as well in Phoenix. So she got

682
00:44:26.559 --> 00:44:28.559
<v Speaker 3>grant money. It's all about you know, it's all about

683
00:44:29.119 --> 00:44:32.800
<v Speaker 3>people and governments saying look, we'll help, We'll get you

684
00:44:32.840 --> 00:44:34.639
<v Speaker 3>the money to do this study, this research, and she

685
00:44:35.039 --> 00:44:37.400
<v Speaker 3>was on the cutting edge of this and the application

686
00:44:37.519 --> 00:44:41.599
<v Speaker 3>of actually technology and algorithms and filters to look at

687
00:44:41.719 --> 00:44:43.719
<v Speaker 3>you know, it's kind of a nice creative way to

688
00:44:43.800 --> 00:44:49.159
<v Speaker 3>do this. She was particularly looking for underage trafficking, trafficking

689
00:44:49.199 --> 00:44:53.840
<v Speaker 3>of juveniles, and she has helped police departments through this

690
00:44:53.920 --> 00:44:58.239
<v Speaker 3>grant money. She's gotten to develop the use of technology

691
00:44:58.280 --> 00:45:05.320
<v Speaker 3>to identify likely advertisements of minors for sex. So she's

692
00:45:05.360 --> 00:45:11.000
<v Speaker 3>focused on keywords and phrases new young, first timer and

693
00:45:11.079 --> 00:45:14.000
<v Speaker 3>a photo which may or may not be the actual victim,

694
00:45:14.039 --> 00:45:16.400
<v Speaker 3>but a photo of a very young girl and all

695
00:45:16.760 --> 00:45:20.440
<v Speaker 3>of this language, you know, points to the trafficking of

696
00:45:20.519 --> 00:45:25.440
<v Speaker 3>someone who's underage. And she then did tests of different markets.

697
00:45:26.079 --> 00:45:28.880
<v Speaker 3>It happened in a Super Bowl that was played at

698
00:45:29.079 --> 00:45:34.719
<v Speaker 3>the Midlelands in Jersey one year. It's happened in Las Vegas. PD.

699
00:45:34.960 --> 00:45:39.880
<v Speaker 3>METROPD has adopted this and used it and it was

700
00:45:40.000 --> 00:45:45.760
<v Speaker 3>used to study the marketplace for underage trafficking and really

701
00:45:45.840 --> 00:45:50.480
<v Speaker 3>the men who pay for this, and one of the

702
00:45:50.519 --> 00:45:55.360
<v Speaker 3>things they did was focus on those so called johns,

703
00:45:55.440 --> 00:45:59.159
<v Speaker 3>the men who pay for these services and do something different. First,

704
00:45:59.159 --> 00:46:03.719
<v Speaker 3>we don't lolaw enforcement doesn't pay enough attention to holding

705
00:46:03.880 --> 00:46:05.159
<v Speaker 3>the Johns accountable.

706
00:46:05.239 --> 00:46:05.400
<v Speaker 2>Right.

707
00:46:06.039 --> 00:46:08.920
<v Speaker 3>We see girls arrested, but we don't see a lot

708
00:46:08.920 --> 00:46:11.760
<v Speaker 3>of arrests of men, which really is all about supply

709
00:46:12.000 --> 00:46:15.119
<v Speaker 3>and demand. That you've got to attack the demand side

710
00:46:16.000 --> 00:46:19.119
<v Speaker 3>if you're going to get around helping the supply side

711
00:46:19.480 --> 00:46:24.159
<v Speaker 3>and mitigating that. So the police agreed in the Super

712
00:46:24.159 --> 00:46:27.800
<v Speaker 3>Bowl situation in Phoenix and in Las Vegas, they said,

713
00:46:27.800 --> 00:46:29.880
<v Speaker 3>you know what, we're going to do something different. We're

714
00:46:29.880 --> 00:46:32.159
<v Speaker 3>going to tackle the men. What they would do is

715
00:46:32.880 --> 00:46:36.159
<v Speaker 3>undercover type work. They'd set out these ads that they

716
00:46:36.280 --> 00:46:42.480
<v Speaker 3>knew were typical of underage advertising, and they would if

717
00:46:42.519 --> 00:46:46.079
<v Speaker 3>a guy called in or made contact online and said, yeah,

718
00:46:46.199 --> 00:46:48.159
<v Speaker 3>you know, I want you at my hotel room tonight,

719
00:46:48.840 --> 00:46:53.760
<v Speaker 3>the undercover officer would call and say, well, actually, there

720
00:46:53.760 --> 00:46:57.679
<v Speaker 3>are two different ways to do this. Sometimes they were undercover,

721
00:46:57.760 --> 00:46:59.880
<v Speaker 3>sometimes they were just at the police department. They would

722
00:47:00.039 --> 00:47:02.840
<v Speaker 3>all the guy back and go, you just made contact

723
00:47:03.679 --> 00:47:08.639
<v Speaker 3>with someone who is with law enforcement. And by the way,

724
00:47:08.840 --> 00:47:16.079
<v Speaker 3>this ad advertises underage minors and if you understand something,

725
00:47:16.880 --> 00:47:19.679
<v Speaker 3>if you do this again, you're going to prison. And

726
00:47:20.119 --> 00:47:22.599
<v Speaker 3>this is fake this time, but if you do it

727
00:47:22.639 --> 00:47:25.880
<v Speaker 3>for real, you're done. And to my amazement, some of

728
00:47:25.920 --> 00:47:29.639
<v Speaker 3>these guys would say oh okay, yeah, sorry about that,

729
00:47:30.000 --> 00:47:32.519
<v Speaker 3>and then pick up the phone and they'd make contact

730
00:47:32.559 --> 00:47:38.000
<v Speaker 3>with another undercover ad duration. Then the police would show up,

731
00:47:38.039 --> 00:47:40.960
<v Speaker 3>of course if they could identify this person. And it

732
00:47:41.440 --> 00:47:44.000
<v Speaker 3>really has helped in real life. So it's on two things.

733
00:47:44.000 --> 00:47:47.400
<v Speaker 3>You've got this kind of undercover thing that's attacking the

734
00:47:47.719 --> 00:47:51.679
<v Speaker 3>demand side and then on the supply side for real ads,

735
00:47:52.440 --> 00:47:57.199
<v Speaker 3>for real ads. The police would then agree that they're

736
00:47:57.199 --> 00:48:02.079
<v Speaker 3>going to make contact with that real advertiser, that woman,

737
00:48:02.920 --> 00:48:06.519
<v Speaker 3>and they're going to say come to my hotel. This

738
00:48:06.559 --> 00:48:09.159
<v Speaker 3>happens a lot in Phoenix. And then when that young

739
00:48:09.199 --> 00:48:14.639
<v Speaker 3>lady shows up, she realizes that this is about her,

740
00:48:15.119 --> 00:48:18.639
<v Speaker 3>that the law enforcement isn't there to arrest her, but

741
00:48:18.800 --> 00:48:23.800
<v Speaker 3>rather people like Professor Seppowitz and her social partners are

742
00:48:24.000 --> 00:48:29.280
<v Speaker 3>going to offer medical services, mental health services, addiction services.

743
00:48:29.480 --> 00:48:31.679
<v Speaker 3>They're going to say do you need a place to stay.

744
00:48:32.559 --> 00:48:34.440
<v Speaker 3>All of that's going to happen right in that motel,

745
00:48:34.800 --> 00:48:39.119
<v Speaker 3>right in that motel. It's been hugely successful. Very few

746
00:48:39.159 --> 00:48:42.440
<v Speaker 3>of those young ladies go no thanks and walk away.

747
00:48:44.039 --> 00:48:49.599
<v Speaker 2>You talk about the case of Casey Joe Pipestem and

748
00:48:49.719 --> 00:48:54.239
<v Speaker 2>also America's Most Wanted, Can you tell us about this?

749
00:48:54.400 --> 00:49:00.440
<v Speaker 3>And John Williams, Yeah, here's another Oklahoma case, Casey Joe

750
00:49:00.480 --> 00:49:04.360
<v Speaker 3>Pipestone stem very young victim who happened to be from

751
00:49:04.400 --> 00:49:10.360
<v Speaker 3>the Seminole Nation, a tribe in Oklahoma. She had been

752
00:49:10.400 --> 00:49:14.199
<v Speaker 3>passed around family members after her parents were no longer

753
00:49:14.519 --> 00:49:20.360
<v Speaker 3>in the picture. She ended up being trafficked and she

754
00:49:20.840 --> 00:49:27.360
<v Speaker 3>indeed was missing and her body was found in grape Fine, Texas.

755
00:49:27.880 --> 00:49:33.239
<v Speaker 3>And again another outstanding detective from the grape Fine Police

756
00:49:33.280 --> 00:49:38.920
<v Speaker 3>Department who really took this case as his own and

757
00:49:39.000 --> 00:49:44.400
<v Speaker 3>became passionate about finding Casey Joe Pipestem's killer. But again

758
00:49:44.480 --> 00:49:50.960
<v Speaker 3>this was linked eventually to a Trucker serial killer. And

759
00:49:51.440 --> 00:49:55.079
<v Speaker 3>as they worked this case, it was a rare case too,

760
00:49:55.119 --> 00:49:59.760
<v Speaker 3>by the way, that involved a female partner who had

761
00:49:59.800 --> 00:50:02.400
<v Speaker 3>not knowledge of the wrongdoing, had knowledge of the killings.

762
00:50:03.039 --> 00:50:06.519
<v Speaker 3>That's very rare by the way in these cases. But

763
00:50:06.519 --> 00:50:10.280
<v Speaker 3>long story short, has this remained unsolved. They decided to

764
00:50:10.320 --> 00:50:14.519
<v Speaker 3>go to the old America's Most Wanted TV program with

765
00:50:14.679 --> 00:50:18.920
<v Speaker 3>John Walsh, and he's come back now, by the way,

766
00:50:18.960 --> 00:50:21.679
<v Speaker 3>he's now, he's now come back with his adult son

767
00:50:21.719 --> 00:50:24.880
<v Speaker 3>and he's doing a similar They feature Casey Joe pipe

768
00:50:24.920 --> 00:50:27.719
<v Speaker 3>Sim's case, and they get a phone call as a

769
00:50:27.760 --> 00:50:31.159
<v Speaker 3>result of that episode. The phone call is from John

770
00:50:31.159 --> 00:50:37.960
<v Speaker 3>Williams's aunt who says, Hey, I visit I visited my

771
00:50:39.159 --> 00:50:46.000
<v Speaker 3>nephew in jail recently, and he said I just killed

772
00:50:46.000 --> 00:50:51.239
<v Speaker 3>a little I killed a little Indian girl, and boy

773
00:50:51.280 --> 00:50:55.360
<v Speaker 3>did that get some attention. Long story short, she was right,

774
00:50:56.440 --> 00:51:00.000
<v Speaker 3>and he had killed He was in prison for another crime.

775
00:51:01.400 --> 00:51:08.639
<v Speaker 3>But detectives then began lining up to interview Williams, all

776
00:51:08.679 --> 00:51:12.599
<v Speaker 3>from different states because they all had unsolved cases. You

777
00:51:12.639 --> 00:51:17.559
<v Speaker 3>know that they many believe that certainly Williams was the killer.

778
00:51:17.639 --> 00:51:22.880
<v Speaker 3>But I think this illustrates another phenomenon, which is the

779
00:51:23.480 --> 00:51:28.079
<v Speaker 3>kind of sense of hope when detectives hear that somebody's

780
00:51:28.119 --> 00:51:32.559
<v Speaker 3>been grabbed, someone's in prison and he might be the

781
00:51:32.599 --> 00:51:36.400
<v Speaker 3>one who killed my victims, and then the rush to

782
00:51:36.480 --> 00:51:38.880
<v Speaker 3>get in line to do the interview for your case,

783
00:51:39.519 --> 00:51:43.159
<v Speaker 3>only to find this is so common, Only to find

784
00:51:43.159 --> 00:51:46.400
<v Speaker 3>that Nope, this guy has an alibi. He wasn't even

785
00:51:46.440 --> 00:51:48.519
<v Speaker 3>in that part of the country. He wasn't in that

786
00:51:48.639 --> 00:51:52.119
<v Speaker 3>place where your victim was killed. And of course it's

787
00:51:52.119 --> 00:51:55.639
<v Speaker 3>a roller coaster of emotion when that happens. And that's

788
00:51:55.679 --> 00:51:59.360
<v Speaker 3>why you know, this initiative is still alive and wealth

789
00:51:59.440 --> 00:52:02.079
<v Speaker 3>because of you know, at least two hundred unsolved cases.

790
00:52:03.519 --> 00:52:06.280
<v Speaker 2>Let's use this as an opportunity to hear these messages.

791
00:52:08.159 --> 00:52:11.840
<v Speaker 2>Getting back to doctor Sepowitz and what she learned from

792
00:52:11.920 --> 00:52:15.800
<v Speaker 2>the ads and how to utilize those ads to her advantage.

793
00:52:16.480 --> 00:52:20.119
<v Speaker 2>And you talk about Backpage being one of the and

794
00:52:20.280 --> 00:52:26.519
<v Speaker 2>Craigslist being a place where these opportunists used those online

795
00:52:26.960 --> 00:52:31.679
<v Speaker 2>services to lure women or young girls in fact, but

796
00:52:31.760 --> 00:52:36.119
<v Speaker 2>you talk about also initiatives like Thorn with actors Ashton

797
00:52:36.199 --> 00:52:40.559
<v Speaker 2>Kutcher and Demi Moore and to counter child sex trafficking,

798
00:52:42.320 --> 00:52:45.960
<v Speaker 2>and also tell us about the McCain Institute, and also

799
00:52:46.280 --> 00:52:50.800
<v Speaker 2>how the US Department of Defense even gets involved in DARPA.

800
00:52:51.920 --> 00:52:56.480
<v Speaker 3>Yeah, that really got my attention because you know, a

801
00:52:56.559 --> 00:52:59.440
<v Speaker 3>large part of my FBI career was in counterintelligence, were

802
00:52:59.639 --> 00:53:03.920
<v Speaker 3>national security work and ultimately heading up the Counterintelligence Division

803
00:53:03.920 --> 00:53:07.199
<v Speaker 3>of the FBI. So I knew of DARPA. These are

804
00:53:07.519 --> 00:53:14.159
<v Speaker 3>really really bright people in the Department of Defense, scientists, researchers,

805
00:53:14.360 --> 00:53:21.000
<v Speaker 3>engineers who do cutting edge often classified research for the

806
00:53:21.159 --> 00:53:27.880
<v Speaker 3>United States. And when they saw what was happening at

807
00:53:28.079 --> 00:53:33.440
<v Speaker 3>technology wise with Arizona State University research and then even

808
00:53:33.679 --> 00:53:38.079
<v Speaker 3>the algorithms developed by Ashton Kutcher and Demi Moore to

809
00:53:38.199 --> 00:53:45.639
<v Speaker 3>look at the to use technology for anti trafficking, and

810
00:53:45.960 --> 00:53:48.039
<v Speaker 3>they came in and said, Okay, you've got you've got

811
00:53:48.079 --> 00:53:52.440
<v Speaker 3>something here, and we've got something as well that we

812
00:53:52.679 --> 00:53:56.679
<v Speaker 3>want to you know, use and they came with money.

813
00:53:56.800 --> 00:53:58.880
<v Speaker 3>This is, like I said, a lot of this research

814
00:53:59.280 --> 00:54:04.840
<v Speaker 3>in grant funding is about high profile funding and the

815
00:54:04.880 --> 00:54:09.960
<v Speaker 3>big names of celebrities or prominent people in society like

816
00:54:10.840 --> 00:54:14.519
<v Speaker 3>Cindy McCain, the wife of the late Senator John McCain,

817
00:54:15.159 --> 00:54:19.480
<v Speaker 3>who has done a lot of good for America. Part

818
00:54:19.519 --> 00:54:22.039
<v Speaker 3>of it has to do with her funding of certain

819
00:54:22.280 --> 00:54:26.599
<v Speaker 3>anti trafficking initiatives, so that money was used to further

820
00:54:26.800 --> 00:54:32.039
<v Speaker 3>hone and sharpen the technology to do anti trafficking work

821
00:54:32.119 --> 00:54:36.800
<v Speaker 3>through the study of advertisements and also to kind of

822
00:54:37.079 --> 00:54:40.000
<v Speaker 3>you know, doctor Suppwis has done a ton of interviews

823
00:54:40.000 --> 00:54:42.679
<v Speaker 3>and her team have done a lot of interviews of

824
00:54:42.760 --> 00:54:45.400
<v Speaker 3>victims and you come away, you know, when you crunch

825
00:54:45.440 --> 00:54:48.599
<v Speaker 3>all that data and you put it in a computer system,

826
00:54:48.960 --> 00:54:52.559
<v Speaker 3>you come away with some eye opening findings. So one

827
00:54:52.559 --> 00:54:55.400
<v Speaker 3>of them, by the way, one of those findings was

828
00:54:56.239 --> 00:55:00.840
<v Speaker 3>after interviewing, you know, hundreds of victims, was that many

829
00:55:00.880 --> 00:55:05.519
<v Speaker 3>of those victims had somewhere in their early education life

830
00:55:06.159 --> 00:55:10.840
<v Speaker 3>touched or been associated with special education. You know, whether

831
00:55:10.920 --> 00:55:15.519
<v Speaker 3>they were deemed as a different learner, had learning issues, whatever,

832
00:55:16.039 --> 00:55:17.800
<v Speaker 3>they had been in special ed. So what do you

833
00:55:17.840 --> 00:55:20.920
<v Speaker 3>do with that? Well, what doctor Sepwoz has done is

834
00:55:20.960 --> 00:55:26.480
<v Speaker 3>develop early intervention programs to educate teachers, to educate young

835
00:55:26.559 --> 00:55:29.679
<v Speaker 3>kids in an age appropriate way that there are things

836
00:55:29.760 --> 00:55:31.880
<v Speaker 3>that people may, you know, have you tried to do

837
00:55:32.159 --> 00:55:35.519
<v Speaker 3>in life that aren't appropriate that you should tell someone

838
00:55:35.559 --> 00:55:38.719
<v Speaker 3>you trust about. Maybe even you're tell your teacher, that's

839
00:55:38.800 --> 00:55:39.400
<v Speaker 3>great program.

840
00:55:39.400 --> 00:55:39.559
<v Speaker 2>You know.

841
00:55:39.599 --> 00:55:42.199
<v Speaker 3>The other thing they found was that a lot of

842
00:55:42.280 --> 00:55:47.639
<v Speaker 3>recruitment goes on in jail, so that in fact, in fact,

843
00:55:47.719 --> 00:55:50.360
<v Speaker 3>Hannah who I talked to and describe in the book,

844
00:55:50.880 --> 00:55:56.880
<v Speaker 3>she was recruited in part in part not only by boyfriends,

845
00:55:56.960 --> 00:56:00.559
<v Speaker 3>but when she was arrested and thrown in to jail.

846
00:56:01.320 --> 00:56:05.079
<v Speaker 3>One of her cellmates turned out to be a bottom,

847
00:56:05.360 --> 00:56:10.199
<v Speaker 3>turned out to be part of a stable of prostitutes,

848
00:56:10.800 --> 00:56:14.599
<v Speaker 3>and she said to Hannah, listen, when you get out,

849
00:56:15.280 --> 00:56:18.119
<v Speaker 3>I'm getting out before you. When you get out, I'll

850
00:56:18.119 --> 00:56:19.639
<v Speaker 3>have a place for you to stay. You can stay

851
00:56:19.639 --> 00:56:21.760
<v Speaker 3>with me and my boyfriend will take care of you.

852
00:56:21.800 --> 00:56:25.039
<v Speaker 3>In fact, I'll put money on your jail account so

853
00:56:25.079 --> 00:56:28.440
<v Speaker 3>that you can buy some things, and you can call.

854
00:56:28.519 --> 00:56:30.679
<v Speaker 3>I'll put money on your phone account. You call me

855
00:56:30.719 --> 00:56:32.639
<v Speaker 3>when you know you're getting out, we'll pick you up

856
00:56:32.800 --> 00:56:35.119
<v Speaker 3>and we'll take you in. Well, that was a recruitment.

857
00:56:35.480 --> 00:56:39.000
<v Speaker 3>This was involuntary servitude that she ended up in. Literally,

858
00:56:39.920 --> 00:56:44.559
<v Speaker 3>what did doctor Stepwis do with that? Well, prisons now,

859
00:56:44.639 --> 00:56:49.320
<v Speaker 3>some prisons now monitor. Of course, they monitor your phone activity,

860
00:56:49.320 --> 00:56:54.679
<v Speaker 3>but they'll also give laptops to female prisoners and monitor

861
00:56:54.719 --> 00:56:57.360
<v Speaker 3>what's going on on the laptop, and they'll watch recruitment

862
00:56:57.400 --> 00:57:01.719
<v Speaker 3>take place. So it's that kind of cutting edge intervention

863
00:57:01.800 --> 00:57:02.760
<v Speaker 3>that's making a difference.

864
00:57:04.800 --> 00:57:07.199
<v Speaker 2>You started, You said in the end of this book

865
00:57:07.199 --> 00:57:10.039
<v Speaker 2>that this book started as an interest in the FBI's

866
00:57:10.119 --> 00:57:14.000
<v Speaker 2>Highway Serial Killers initiative, but quickly became a quest to

867
00:57:14.079 --> 00:57:18.519
<v Speaker 2>understand the cultures behind the killings. You said that the

868
00:57:18.679 --> 00:57:24.519
<v Speaker 2>serial Killer initiative also cooperated with vice cops and also,

869
00:57:24.920 --> 00:57:28.360
<v Speaker 2>more importantly, the trucking industry. Tell us a little bit

870
00:57:28.400 --> 00:57:32.920
<v Speaker 2>about the cooperation that the trucking industry offered this team

871
00:57:33.239 --> 00:57:35.400
<v Speaker 2>in trying to solve this incredible problem.

872
00:57:35.920 --> 00:57:39.239
<v Speaker 3>Yeah, this is crucial. We talk a lot about partnerships

873
00:57:39.880 --> 00:57:45.639
<v Speaker 3>in law enforcement and in social human services, and it's crucial.

874
00:57:47.480 --> 00:57:53.000
<v Speaker 3>So let's talk about the industry itself, the trucking industry.

875
00:57:52.800 --> 00:57:56.079
<v Speaker 3>They want to help. No trucking company wants to be

876
00:57:56.119 --> 00:58:01.800
<v Speaker 3>associated with a killer or with trafficking. And in the

877
00:58:01.840 --> 00:58:05.360
<v Speaker 3>early days of Terry Turner's work, she not only partnered

878
00:58:05.920 --> 00:58:10.360
<v Speaker 3>with various police departments, but they had to have the

879
00:58:10.400 --> 00:58:15.440
<v Speaker 3>cooperation of major trucking companies because imagine, imagine the needle

880
00:58:15.480 --> 00:58:19.000
<v Speaker 3>in the haystack. Aspect to solving one of these cases.

881
00:58:19.079 --> 00:58:23.480
<v Speaker 3>You've got hundreds, if not thousands, of trucks passing through

882
00:58:23.519 --> 00:58:27.280
<v Speaker 3>your truck stop where maybe this victim was last seen.

883
00:58:28.960 --> 00:58:32.599
<v Speaker 3>How do you determine who was there, which trucker was

884
00:58:32.639 --> 00:58:35.000
<v Speaker 3>there at that particular time, and what's your time frame?

885
00:58:35.079 --> 00:58:37.039
<v Speaker 3>Is it you know she was last seen there? We

886
00:58:37.079 --> 00:58:40.480
<v Speaker 3>think it was either Tuesday or Wednesday a month ago.

887
00:58:41.000 --> 00:58:44.559
<v Speaker 3>I don't know, so imagine that that. You've got to

888
00:58:44.599 --> 00:58:48.440
<v Speaker 3>then get if there's any cameras way back when at

889
00:58:48.440 --> 00:58:51.159
<v Speaker 3>this truck stop. Okay, so what so you've got that.

890
00:58:51.760 --> 00:58:54.440
<v Speaker 3>Now who who was there? You've got to go to

891
00:58:54.519 --> 00:58:57.480
<v Speaker 3>all the trucking companies. You've got to say, I need

892
00:58:57.519 --> 00:59:00.480
<v Speaker 3>to know who was at this truck stop Tuesday and company?

893
00:59:00.480 --> 00:59:04.880
<v Speaker 3>And maybe that company has what thousands of drivers, thousands

894
00:59:04.920 --> 00:59:08.360
<v Speaker 3>of trucks, so you you they want to help, but

895
00:59:08.480 --> 00:59:10.199
<v Speaker 3>they've got to you know, you've got to give them

896
00:59:10.199 --> 00:59:13.679
<v Speaker 3>a time frame and they'll give you the data now today,

897
00:59:14.239 --> 00:59:15.840
<v Speaker 3>you know. And I could relate to this from my

898
00:59:16.079 --> 00:59:19.159
<v Speaker 3>from what what happened during my entire time in the

899
00:59:19.239 --> 00:59:25.000
<v Speaker 3>FBI twenty five years. Early on, when I would approach hotels, businesses, airlines,

900
00:59:25.519 --> 00:59:28.000
<v Speaker 3>it was like, yeah, we you know, they'd bend over

901
00:59:28.039 --> 00:59:30.800
<v Speaker 3>backwards to help you and yes, what do you need? Yes,

902
00:59:30.840 --> 00:59:32.960
<v Speaker 3>do do you have a guest who stayed here with

903
00:59:33.000 --> 00:59:36.159
<v Speaker 3>this name? Do you you know? And they they they yeah, absolutely,

904
00:59:36.159 --> 00:59:39.360
<v Speaker 3>here you go. And then you could watch over the years,

905
00:59:39.400 --> 00:59:43.840
<v Speaker 3>the lawyers took over liability right and the instruction was

906
00:59:44.480 --> 00:59:47.960
<v Speaker 3>very clear to these employees, these these the leadership at

907
00:59:48.000 --> 00:59:51.199
<v Speaker 3>these facilities. And it's true for the trucking companies. Hey,

908
00:59:51.239 --> 00:59:53.000
<v Speaker 3>you got to get you got to have a search

909
00:59:53.039 --> 00:59:55.840
<v Speaker 3>warner or subpoena. We want to help you. But you know,

910
00:59:56.000 --> 00:59:58.320
<v Speaker 3>but in the early days and the help still happens.

911
00:59:58.360 --> 01:00:01.400
<v Speaker 3>Don't get me wrong, but it's more applicated. But that

912
01:00:01.519 --> 01:00:05.000
<v Speaker 3>kind of data and then sifting through that. Okay, we've

913
01:00:05.039 --> 01:00:10.320
<v Speaker 3>identified one hundred trucks that were at this truck stop Tuesday,

914
01:00:10.360 --> 01:00:15.119
<v Speaker 3>a month ago. Okay, Now, who was driving the truck? Well,

915
01:00:15.119 --> 01:00:17.480
<v Speaker 3>we think it was Joe. Yeah, it's Joe's truck. Yeah,

916
01:00:17.920 --> 01:00:21.360
<v Speaker 3>unless you switched off with somebody, not sure, but it's

917
01:00:21.360 --> 01:00:25.360
<v Speaker 3>probably Joe. Okay, two hundred Joe's Let's look at their backgrounds.

918
01:00:26.719 --> 01:00:30.239
<v Speaker 3>Joe's got a history of domestic violence. Joe carries a gun.

919
01:00:30.960 --> 01:00:33.840
<v Speaker 3>A gun wasn't used in this case. It was a knife. Okay.

920
01:00:34.000 --> 01:00:39.159
<v Speaker 3>You know, you've got to have the cooperation of the industry.

921
01:00:39.199 --> 01:00:39.800
<v Speaker 3>It's essential.

922
01:00:41.400 --> 01:00:44.960
<v Speaker 2>You say that there have been some inroads, especially promising

923
01:00:45.280 --> 01:00:48.119
<v Speaker 2>is and you cite a case in this incredible case

924
01:00:48.119 --> 01:00:52.280
<v Speaker 2>in this book that was solved through genetic genealogy. But

925
01:00:52.480 --> 01:00:56.760
<v Speaker 2>still you righte that there is an incredible long way

926
01:00:56.800 --> 01:00:57.079
<v Speaker 2>to go.

927
01:00:58.960 --> 01:01:04.480
<v Speaker 3>Yeah, the app solutely we are seeing the impact of

928
01:01:04.880 --> 01:01:08.320
<v Speaker 3>genetic genealogy here, and so you know real quickly what's that.

929
01:01:09.119 --> 01:01:15.400
<v Speaker 3>It's it's the law enforcement use of private genealogy databases

930
01:01:15.440 --> 01:01:18.920
<v Speaker 3>where people have submitted their DNA. Many people have done

931
01:01:18.920 --> 01:01:24.920
<v Speaker 3>this with big name companies, and however there's only a

932
01:01:25.039 --> 01:01:29.360
<v Speaker 3>very small number of companies that will voluntarily give such

933
01:01:29.440 --> 01:01:32.360
<v Speaker 3>data to law enforcement. There's one company, I think it's

934
01:01:32.360 --> 01:01:36.400
<v Speaker 3>called ged match that actually exists to help law enforcement.

935
01:01:36.440 --> 01:01:39.400
<v Speaker 3>And that's something your listeners can think about, which is

936
01:01:39.440 --> 01:01:43.760
<v Speaker 3>you could submit your DNA to a company like ged match,

937
01:01:44.039 --> 01:01:48.920
<v Speaker 3>knowing that the police use that company to try and

938
01:01:49.159 --> 01:01:53.719
<v Speaker 3>match and solve crime. So how does that work. Well,

939
01:01:54.159 --> 01:01:58.480
<v Speaker 3>if they've got DNA from a crime scene and they

940
01:01:58.599 --> 01:02:05.960
<v Speaker 3>submit that DNA to the ancestral genealogy company and then

941
01:02:06.000 --> 01:02:11.239
<v Speaker 3>they get a report back saying, oh, you're you've got

942
01:02:11.239 --> 01:02:17.599
<v Speaker 3>a second cousin that has this DNA, and now you've

943
01:02:17.639 --> 01:02:21.280
<v Speaker 3>got a family connection right between the DNA found at

944
01:02:21.280 --> 01:02:25.360
<v Speaker 3>a crime scene and the DNA of someone out there

945
01:02:25.400 --> 01:02:30.599
<v Speaker 3>in this database. Now you can start doing some interviews

946
01:02:31.199 --> 01:02:34.800
<v Speaker 3>and that is solving cases. You know you then approach

947
01:02:34.880 --> 01:02:38.840
<v Speaker 3>this maybe second cousin, and you go, you got anybody

948
01:02:39.199 --> 01:02:42.239
<v Speaker 3>in your family who's a trucker? Well, I heard about

949
01:02:42.639 --> 01:02:45.480
<v Speaker 3>I heard about an uncle George a few years ago,

950
01:02:45.559 --> 01:02:48.920
<v Speaker 3>may have driven a truck. Okay, thank you. That's happening

951
01:02:48.960 --> 01:02:52.639
<v Speaker 3>now with increasing frequency. The other thing that I think

952
01:02:52.719 --> 01:02:56.559
<v Speaker 3>is on the horizon is the use of AI, artificial intelligence.

953
01:02:56.719 --> 01:02:58.840
<v Speaker 3>You know, we talked a lot today about data and

954
01:02:59.519 --> 01:03:04.280
<v Speaker 3>connection and advertising and keywords and phrases and who's more

955
01:03:04.360 --> 01:03:07.239
<v Speaker 3>likely to kill or not. I think AI is going

956
01:03:07.239 --> 01:03:10.199
<v Speaker 3>to play a major role in the weeks, months, and

957
01:03:10.280 --> 01:03:10.800
<v Speaker 3>years ahead.

958
01:03:13.000 --> 01:03:14.679
<v Speaker 2>I want to thank you very much for coming on

959
01:03:14.800 --> 01:03:17.800
<v Speaker 2>and talking about your incredible journey to find out the

960
01:03:17.840 --> 01:03:22.880
<v Speaker 2>truth about this entire subcultures that converge on with each

961
01:03:22.920 --> 01:03:27.000
<v Speaker 2>other in this incredible book Long Haul Hunting the Highway

962
01:03:27.079 --> 01:03:30.440
<v Speaker 2>serial Killers. For people that want to check out more

963
01:03:30.440 --> 01:03:33.400
<v Speaker 2>about this book, to have a website or do any

964
01:03:33.559 --> 01:03:36.960
<v Speaker 2>social media, oh for sure.

965
01:03:37.119 --> 01:03:42.800
<v Speaker 3>I am on Twitter at Frank FIGLUOZI one I should say,

966
01:03:42.840 --> 01:03:48.800
<v Speaker 3>I'm on X at Frank. I'm also on threads, I'm

967
01:03:48.880 --> 01:03:52.679
<v Speaker 3>on Instagram and my website where you can get all

968
01:03:52.719 --> 01:03:54.880
<v Speaker 3>the details not only about the book, but all my

969
01:03:55.400 --> 01:03:58.960
<v Speaker 3>TV appearances as a National Security contributor for NBC News

970
01:03:59.320 --> 01:04:02.320
<v Speaker 3>All my Parents is related to this book and my

971
01:04:02.400 --> 01:04:05.480
<v Speaker 3>old podcast called the Bureau all about the FBI and

972
01:04:05.519 --> 01:04:07.880
<v Speaker 3>interviews of active FBI employees. You can get all that

973
01:04:07.960 --> 01:04:13.800
<v Speaker 3>on my website which is simply frankfigloosy dot com.

974
01:04:14.079 --> 01:04:18.480
<v Speaker 2>Thank you so much, Frank Figlouzy for hunting pardon me,

975
01:04:18.639 --> 01:04:21.440
<v Speaker 2>long haul, hunting the highway serial killers. Thank you so

976
01:04:21.559 --> 01:04:23.800
<v Speaker 2>much for this interview, and you have a great evening,

977
01:04:24.000 --> 01:04:24.639
<v Speaker 2>and good night.

978
01:04:25.719 --> 01:04:26.280
<v Speaker 3>Good night to you.

979
01:04:27.199 --> 01:04:27.960
<v Speaker 2>Thank you so much.
