Latest / Murder Files Unsealed / The Sinister Scheme of Helen Golay and Olga Rutterschmidt
Transcript
- 0:00Speaker 1: So I want you to just imagine you're walking down
- 0:02Speaker 1: Hollywood Boulevard. Okay.
- 0:04Speaker 2: Setting the scene.
- 0:05Speaker 1: Yeah, right. It's the summer of 2005. The sun is shining.
- 0:09Speaker 1: The tourists are all out taking pictures. And you glance
- 0:11Speaker 1: down a side street.
- 0:12Speaker 2: Uh-huh.
- 0:13Speaker 1: And you see two women. They're in their 70s, dressed impeccably,
- 0:17Speaker 1: and they're leaning down to hand a sandwich and, like,
- 0:20Speaker 1: a cup of coffee to a homeless man sitting on
- 0:22Speaker 1: the curb.
- 0:23Speaker 2: Just a perfectly normal, sweet scene.
- 0:25Speaker 1: Exactly. They're chatting with him, smiling warmly. maybe patting his shoulder.
- 0:30Speaker 1: It looks like just the absolute purest act of human charity. Right.
- 0:34Speaker 2: Like something we're all taught to admire.
- 0:36Speaker 1: But and here is where it gets incredibly dark. What
- 0:40Speaker 1: you're actually witnessing. is the final meticulous stage of a
- 0:44Speaker 1: multimillion-dollar corporate assassination.
- 0:47Speaker 2: I mean, it completely upends everything our brains are wired
- 0:50Speaker 2: to perceive about danger. We spend our entire lives building
- 0:54Speaker 2: these mental profiles of what a predator looks like. We
- 0:57Speaker 2: look for aggression. We look for desperation, youth, physical strength.
- 1:01Speaker 1: Right, the guy in the dark alley. Exactly.
- 1:03Speaker 2: Exactly. Two grandmothers engaged in philanthropy. That does not trigger
- 1:08Speaker 2: a single alarm bell in the human nervous system.
- 1:10Speaker 1: Which is exactly why this specific story is so deeply unsettling.
- 1:15Speaker 1: So today we are doing a deep dive into a
- 1:17Speaker 1: case that just completely shatters the traditional true crime archetype
- 1:21Speaker 1: of the Black Widow.
- 1:22Speaker 2: Yeah, the classic Black Widow trope.
- 1:23Speaker 1: Right, because for anyone who follows this space, you already
- 1:27Speaker 1: know the standard narrative. It's almost always a younger woman.
- 1:30Speaker 1: Usually leveraging romantic manipulation.
- 1:33Speaker 2: Marrying an older, wealthy man.
- 1:34Speaker 1: Exactly. Marrying the rich, older guy and then quietly poisoning
- 1:37Speaker 1: him to inherit the estate. It's a trope so common
- 1:40Speaker 1: it literally has its own subgenre. But today's deep dive
- 1:44Speaker 1: subverts every single expectation of that trope.
- 1:46Speaker 2: It really does. And we are pulling this from a
- 1:48Speaker 2: really fascinating retrospective published by Oxygen back in September 2022,
- 1:53Speaker 2: written by Joe Zimianowicz.
- 1:55Speaker 1: Yeah, it's a great piece. It is.
- 1:56Speaker 2: And it's actually worth noting the broader context of where
- 2:00Speaker 2: this story even lives on their site. Like if you
- 2:02Speaker 2: browse through the digital archives of true crime networks, you
- 2:07Speaker 2: are just constantly bombarded by the absolute extremes of human cruelty.
- 2:11Speaker 1: Oh, for sure. The sidebars on those sites are wild.
- 2:14Speaker 2: Exactly. You've got forensic breakdowns of brutal domestic violence or,
- 2:19Speaker 2: you know, deep historical cuts. into notorious serial killers.
- 2:23Speaker 1: Right. You're reading this and right next to it are
- 2:25Speaker 1: articles about Snapped or Patrick Clancy or Lizzie Borden.
- 2:29Speaker 2: Yeah. The whole atmosphere is just saturated with violence. Yet
- 2:32Speaker 2: the story of Helen Golay and Olga Ruderschmidt, it stands
- 2:36Speaker 2: out even in that grim ecosystem.
- 2:38Speaker 1: It stands out because it wasn't a crime of passion.
- 2:40Speaker 2: No.
- 2:41Speaker 1: It wasn't some sudden snap of domestic tension. It was
- 2:44Speaker 1: basically the industrialized slaughter of invisible people just cloaked behind
- 2:49Speaker 1: this huge veil of extreme social privilege.
- 2:52Speaker 2: Industrialized slaughter is a really good way to put it.
- 2:54Speaker 1: It's terrifying. So let's get into the mechanics of how
- 2:57Speaker 1: this actually worked. Because if you want to understand how
- 3:00Speaker 1: two elderly women managed to run a shadow assassination ring
- 3:04Speaker 1: in plain sight in Los Angeles, you really have to
- 3:07Speaker 1: understand the specific type of camouflage they wore.
- 3:10Speaker 2: Right. Their background.
- 3:12Speaker 1: Yeah. We have to look at who these women actually
- 3:13Speaker 1: were before the body started dropping.
- 3:15Speaker 2: Well, let's profile them, starting with Helen Golay. So she
- 3:19Speaker 2: was born in Texas in 1931. Okay. She had been
- 3:22Speaker 2: married and divorced twice. But the defining characteristic of Helen's
- 3:28Speaker 2: life leading up to these crimes was her financial status.
- 3:31Speaker 1: Right.
- 3:31Speaker 2: She was not a desperate drifter. She was actually a
- 3:34Speaker 2: highly successful real estate investor. She had already amassed a
- 3:38Speaker 2: pre-significant fortune in Southern California.
- 3:40Speaker 1: Wait, hold on. Let's unpack this. She was already a millionaire.
- 3:43Speaker 2: Yeah, she was wealthy.
- 3:45Speaker 1: Because that fundamentally breaks the very first rule... Of the
- 3:49Speaker 1: Black Widow playbook. I mean, the entire motivation for this
- 3:53Speaker 1: type of crime is usually financial desperation, right?
- 3:55Speaker 2: And absolute.
- 3:56Speaker 1: It's the woman who has nothing trying to take everything.
- 4:00Speaker 1: If Helen already had this Southern California real estate fortune,
- 4:03Speaker 1: why on earth is she trolling alleys in Hollywood looking
- 4:07Speaker 1: to commit homicide?
- 4:08Speaker 2: And that is the core psychological puzzle of this whole case.
- 4:12Speaker 2: When we analyze criminal motivation, we usually look for... the
- 4:16Speaker 2: path of least resistance to solve a pressing need.
- 4:19Speaker 1: Like, if you can't pay rent, you might steal.
- 4:23Speaker 2: Right. But when a wealthy individual engages in premeditated, high-risk
- 4:27Speaker 2: financial fraud that culminates in murder, we have to look
- 4:30Speaker 2: past survival and start looking at pathology.
- 4:33Speaker 1: Are we talking about something like the dark triad here?
- 4:35Speaker 1: Because this feels like it goes way beyond just, you know,
- 4:38Speaker 1: wanting a bigger bank account.
- 4:39Speaker 2: We are absolutely looking at traits adjacent to the dark triad,
- 4:42Speaker 2: specifically psychopathy and Machiavellianism.
- 4:45Speaker 1: Oh, wow.
- 4:46Speaker 2: And psychopathy in this context, it doesn't mean a deranged
- 4:48Speaker 2: movie villain. It means a profound structural lack of empathy.
- 4:52Speaker 1: Just zero ability to care about another human being.
- 4:54Speaker 2: Exactly. And then Machiavellianism is the ability to manipulate others
- 4:58Speaker 2: with this cold strategic calculation. So when you combine those
- 5:02Speaker 2: traits with someone who has spent her entire life in
- 5:05Speaker 2: real estate, a business that is inherently about viewing properties
- 5:09Speaker 2: as assets.
- 5:10Speaker 1: Oh, wow.
- 5:11Speaker 2: Yeah.
- 5:11Speaker 1: Maximizing ROI.
- 5:13Speaker 2: Yes.
- 5:13Speaker 1: Maximizing ROI, flipping investments. You put all that together and
- 5:17Speaker 1: you get a very, very dangerous cognitive distortion.
- 5:20Speaker 2: So she stopped seeing human beings and literally started seeing
- 5:23Speaker 2: them as undeveloped lots.
- 5:25Speaker 1: That is a chillingly accurate way to put it. Yeah.
- 5:28Speaker 1: She applied the exact mechanics of a real estate flip
- 5:31Speaker 1: to human lives.
- 5:32Speaker 2: That is just, I mean, my jaw is on the floor.
- 5:35Speaker 1: But she didn't act alone. She had a partner who
- 5:37Speaker 1: brought a slightly different energy to the dynamic.
- 5:40Speaker 2: Olga.
- 5:41Speaker 1: Right. Olga Ritter Schmidt. Yeah. She was born in Hungary
- 5:43Speaker 1: in 1933. She immigrated to the United States in 1957. Okay.
- 5:47Speaker 2: So an immigrant story.
- 5:49Speaker 1: Yeah. And she and her husband actually ran a coffee
- 5:51Speaker 1: shop in Los Angeles for years.
- 5:53Speaker 2: Oh, really?
- 5:53Speaker 1: Yeah. Eventually they divorced and she relocated to Hollywood in
- 5:57Speaker 1: the 1970s.
- 5:58Speaker 2: Okay. So Olga Ritter's background feels a little bit more
- 6:01Speaker 2: grounded in struggle, at least compared to Helen's real estate empire, right?
- 6:04Speaker 1: It does. Yeah.
- 6:05Speaker 2: I mean.
- 6:06Speaker 1: Running a coffee shop, immigrating, going through a divorce. You
- 6:09Speaker 1: can almost see how someone might become a bit embittered if,
- 6:13Speaker 1: you know, the American dream didn't quite pan out the
- 6:15Speaker 1: way they wanted. Yeah. But how do these two women
- 6:18Speaker 1: from such totally different financial backgrounds link up and decide
- 6:22Speaker 1: to form a murder syndicate? It's like a twisted dark
- 6:25Speaker 1: mirror version of the Golden Girls.
- 6:27Speaker 2: Right. It totally is. But they bonded over a shared pathology.
- 6:33Speaker 2: While their bank accounts might have looked different on paper,
- 6:35Speaker 2: their internal wiring was practically identical.
- 6:38Speaker 1: They just had that same darkness.
- 6:40Speaker 2: Exactly. They both possessed this bottomless capacity for greed and
- 6:45Speaker 2: just a complete absence of moral restraint when it came
- 6:47Speaker 2: to exploiting vulnerable people.
- 6:49Speaker 1: Wow.
- 6:50Speaker 2: And more importantly, they realized something profound about their specific demographic.
- 6:55Speaker 2: They were women in their late 60s and early 70s.
- 6:58Speaker 1: The halo effect.
- 6:59Speaker 2: Yes, the halo effect.
- 7:00Speaker 1: For those who don't know, that's a cognitive bias where
- 7:03Speaker 1: Our overall impression of a person influences how we feel
- 7:06Speaker 1: and think about their character, right?
- 7:07Speaker 2: Exactly. And society has a massive halo effect when it
- 7:11Speaker 2: comes to elderly women.
- 7:12Speaker 1: We just inherently view them as maternal.
- 7:15Speaker 2: Maternal, fragile, nurturing, in need of our protection.
- 7:19Speaker 1: We see them as the grandmothers who need help getting
- 7:21Speaker 1: their groceries to the car, you know. We do not
- 7:23Speaker 1: see them as apex predators.
- 7:25Speaker 2: And Helen and Olga understood that. They knew their wrinkles
- 7:28Speaker 2: and their gray hair were basically the equivalent of a
- 7:31Speaker 2: stealth bomber's radar-absorbing paint.
- 7:33Speaker 1: That is terrifying.
- 7:35Speaker 2: It made them completely invisible to suspicion. Think about it.
- 7:39Speaker 2: If two 25-year-old men in hoodies were constantly seen hanging
- 7:43Speaker 2: around homeless encampments, asking detailed questions about people's personal lives.
- 7:48Speaker 1: The police would be called immediately.
- 7:49Speaker 2: Instantly. But when Helen and Olga did it, people just
- 7:53Speaker 2: thought they were from a church group.
- 7:54Speaker 1: So they have the perfect camouflage, they have the pathological greed,
- 7:58Speaker 1: and they have that real estate investor's mindset of flipping
- 8:01Speaker 1: assets for profit, which leads us to the actual execution
- 8:05Speaker 1: of the crimes. This brings us to Paul Vatos and
- 8:08Speaker 1: Kenneth McDavid. And I really want to dive deep into
- 8:11Speaker 1: how they did this, because it wasn't just a matter
- 8:13Speaker 1: of finding someone and killing them. It was a staggering
- 8:16Speaker 1: exercise in patience.
- 8:18Speaker 2: It was. It was the industrialization of murder. Let's look
- 8:21Speaker 2: at the timeline here because the timeline is really where
- 8:23Speaker 2: the true horror of this case lives. Okay.
- 8:26Speaker 1: Lay it out for us.
- 8:27Speaker 2: So Paul Vados was a 73-year-old widower. He was battling
- 8:31Speaker 2: severe depression and he was living on the streets of Hollywood.
- 8:34Speaker 1: Just incredibly vulnerable. Very.
- 8:35Speaker 2: So Helen and Olga found him and they began taking
- 8:38Speaker 2: out life insurance policies on his life in 1997.
- 8:40Speaker 1: 1997.
- 8:40Speaker 2: And he was found dead on November 8, 1999 in an.
- 8:42Speaker 1: Alley run over by a car in what looked like
- 8:43Speaker 1: a hit and run.
- 8:49Speaker 2: Two years later.
- 8:49Speaker 1: Wow.
- 8:50Speaker 2: Now keep that two-year gap in mind. Let's fast forward
- 8:53Speaker 2: to the early 2000s. They find Kenneth McDavid.
- 8:56Speaker 1: Okay.
- 8:57Speaker 2: He is 50 years old, also unhoused. They reel him
- 9:00Speaker 2: in with the promise of paying his rent and getting
- 9:02Speaker 2: him off the street.
- 9:03Speaker 1: The classic bait. Right.
- 9:05Speaker 2: So they begin taking out life insurance policies on McDavid
- 9:09Speaker 2: in 2002 and 2003. He is struck and killed by
- 9:10Speaker 2: a car on June 21, 2005. Again, roughly a two-year gap.
- 9:19Speaker 1: I have to stop here because this is the detail
- 9:21Speaker 1: that kept me awake after I read the brief.
- 9:23Speaker 2: It's haunting.
- 9:24Speaker 1: Why wait two years? If you are a cold-blooded killer
- 9:28Speaker 1: looking for a payday, why on earth are you paying
- 9:31Speaker 1: monthly insurance premiums for 24 months?
- 9:33Speaker 2: It seems counterintuitive, right?
- 9:35Speaker 1: It feels like an insane amount of risk to drag
- 9:37Speaker 1: it out that long. Like treating human lives like maturing bonds.
- 9:40Speaker 2: But that's just it. It wasn't risk to them. It
- 9:43Speaker 2: was risk mitigation.
- 9:44Speaker 1: Wait, how?
- 9:44Speaker 2: It tells us that they had a deep, incredibly sophisticated
- 9:47Speaker 2: understanding of insurance law.
- 9:49Speaker 1: Really?
- 9:50Speaker 2: Yeah. There is a foundational concept in the life insurance
- 9:53Speaker 2: industry known as the contestability clause.
- 9:55Speaker 1: I'm not familiar with that. How does that work?
- 9:57Speaker 2: So when you take out a life insurance policy, there
- 9:59Speaker 2: is a two-year window from the date the policy goes
- 10:02Speaker 2: into effect. During those first two years, the insurance company
- 10:06Speaker 2: has the absolute right to contest the policy, investigate any
- 10:10Speaker 2: of the claims made on the application, and deny the
- 10:12Speaker 2: payout if they find any fraud or misrepresentation.
- 10:15Speaker 1: So they can just dig into everything. Everything.
- 10:18Speaker 2: Everything. If the insured person dies within that two-year window,
- 10:22Speaker 2: the insurance company will trigger an automatic, aggressive, microscopic investigation
- 10:28Speaker 2: into every single detail of the policy and the death.
- 10:31Speaker 1: Oh, I see. So if you claim to be like
- 10:33Speaker 1: a healthy nonsmoker, but you die of lung cancer in
- 10:36Speaker 1: month 18, they pull your medical records, see you smoke
- 10:40Speaker 1: two packs a day, and deny the claim.
- 10:42Speaker 2: Correct. That's exactly how it works. But here is the
- 10:45Speaker 2: terrifying part of the law.
- 10:46Speaker 1: Okay.
- 10:46Speaker 2: Once that policy hits two years and one day, the
- 10:49Speaker 2: contestability period expires.
- 10:51Speaker 1: And then what?
- 10:52Speaker 2: The policy becomes incontestable. Under the law in most states,
- 10:55Speaker 2: the insurance company must pay out the death benefit, even
- 10:58Speaker 2: if they later discover that the original application contained fraudulent information.
- 11:02Speaker 1: Wait, really? Even if it was fraud?
- 11:04Speaker 2: Yes. The burden of proof shifts completely, and it becomes
- 11:09Speaker 2: incredibly difficult for the insurer to deny the claim after
- 11:13Speaker 2: that two-year mark.
- 11:15Speaker 1: My jaw is literally on the floor right now. So
- 11:17Speaker 1: they weren't just being patient. They were using a legal
- 11:20Speaker 1: statute designed to protect consumers as a murder countdown timer.
- 11:24Speaker 2: Exactly. They were treating the contestability clause like a maturity
- 11:28Speaker 2: date on a government bond.
- 11:30Speaker 1: It's just wow.
- 11:31Speaker 2: They knew that if Paul Vados or Kenneth McDavid died
- 11:34Speaker 2: in month 12, the insurance fraud investigators would descend on them.
- 11:39Speaker 2: They'd look into their fake relationships and the whole scheme
- 11:41Speaker 2: would collapse immediately.
- 11:43Speaker 1: Because they'd see right through it. Right.
- 11:45Speaker 2: But if they just kept them alive, paid the premiums
- 11:47Speaker 2: on time every single month, and waited for month 25.
- 11:50Speaker 1: The insurance companies would be legally obligated to write the check.
- 11:54Speaker 2: With minimal questions asked.
- 11:55Speaker 1: That requires a level of emotional detachment that I can
- 11:58Speaker 1: barely process. I mean, think about it. Every single month,
- 12:02Speaker 1: Helen is sitting at her mahogany desk, pulling out her checkbook,
- 12:05Speaker 1: and writing a premium check to an insurance company. And
- 12:09Speaker 1: every stroke of that pen is a conscious recommitment to
- 12:14Speaker 1: the premeditated murder of a man she's actively pretending to help.
- 12:19Speaker 1: It is the literal bureaucracy of death.
- 12:21Speaker 2: It is actuarial murder. That's what it is. They weren't
- 12:24Speaker 2: committing crimes of passion. They were managing a portfolio.
- 12:26Speaker 1: Jesus.
- 12:27Speaker 2: And part of managing that portfolio was selecting the exact
- 12:30Speaker 2: right type of asset. This is why they specifically targeted
- 12:34Speaker 2: unhoused men.
- 12:35Speaker 1: Right. Because if you were going to run over a
- 12:37Speaker 1: CEO or like a beloved high school teacher and The
- 12:40Speaker 1: police are going to launch a massive homicide investigation.
- 12:43Speaker 2: Of course.
- 12:44Speaker 1: The family is going to hire private detectives. The local
- 12:47Speaker 1: news is going to run it on the front page
- 12:49Speaker 1: for weeks.
- 12:50Speaker 2: Which is exactly the opposite of what you want when
- 12:52Speaker 2: you are running a long-term insurance scam.
- 12:54Speaker 1: You want silence.
- 12:55Speaker 2: Right. Helen and Olga were looking for individuals who were
- 12:58Speaker 2: profoundly socially isolated. They understood a very grim sociological reality,
- 13:04Speaker 2: which is that society largely ignores the unhoused.
- 13:07Speaker 1: Yeah. So sad.
- 13:09Speaker 2: They chose men who had fallen through the cracks, men
- 13:12Speaker 2: who were estranged from their families, men whose sudden disappearance
- 13:16Speaker 2: or violent death in an alleyway would just be processed
- 13:20Speaker 2: by the system as a tragic but mundane reality of
- 13:24Speaker 2: street life.
- 13:25Speaker 1: They basically banked on the indifference of the LAPD and
- 13:27Speaker 1: the general public.
- 13:28Speaker 2: They did.
- 13:29Speaker 1: They knew that a hit and run involving a homeless
- 13:32Speaker 1: man in Hollywood gets a police report, a brief canvas
- 13:36Speaker 1: for witnesses. And then it just goes into a filing cabinet.
- 13:39Speaker 2: They weaponize society's blind spots against the most marginalized people
- 13:44Speaker 2: in the city. It is predatory behavior in its most distilled,
- 13:48Speaker 2: pure form.
- 13:49Speaker 1: It really is.
- 13:50Speaker 2: But as flawless as their victim selection and their timeline
- 13:53Speaker 2: management was, they still had to face the most difficult
- 13:56Speaker 2: hurdle in this entire scheme.
- 13:58Speaker 1: Getting the policies approved in the first place.
- 14:00Speaker 2: Yes. Yeah. Because life insurance isn't a lottery ticket. Right.
- 14:03Speaker 2: You can't just walk into an office, point to a
- 14:05Speaker 2: stranger on the street and say... I'd like a million
- 14:08Speaker 2: dollars if that guy dies.
- 14:09Speaker 1: I mean, the system is supposedly built to prevent exactly that.
- 14:12Speaker 1: So let's unpack the underwriting mechanics here, because this is
- 14:15Speaker 1: where my brain just short circuits completely. It's wild. To
- 14:18Speaker 1: secure these policies, Rudderschmidt and Golay submitted applications where they
- 14:23Speaker 1: claimed an array of completely fabricated relationships with these men.
- 14:27Speaker 2: Right.
- 14:28Speaker 1: On Kenneth McDavid, his applications alone, they claimed to be
- 14:31Speaker 1: his business partner on one form, a relative on another.
- 14:35Speaker 1: And on a third policy, they claimed one of them
- 14:37Speaker 1: was his fiancée.
- 14:38Speaker 2: I want you to really visualize the reality of that application.
- 14:41Speaker 1: Okay.
- 14:42Speaker 2: Kenneth McDade is a 50-year-old man struggling with homelessness. He's
- 14:46Speaker 2: bearing the physical toll of living on the streets for years. Yeah.
- 14:50Speaker 2: Helen Gallet is a wealthy woman in her 70s, and
- 14:53Speaker 2: she is submitting legal paperwork to a massive financial institution
- 14:57Speaker 2: claiming to be his fiancée.
- 14:59Speaker 1: It is beyond absurd.
- 15:00Speaker 2: Yeah.
- 15:00Speaker 1: Here's where it gets really interesting to me. Did the
- 15:02Speaker 1: insurance companies just rubber stamp these?
- 15:04Speaker 2: Pretty much.
- 15:06Speaker 1: How does an underwriter sit in a cubicle, look at
- 15:09Speaker 1: an application from a 72-year-old millionaire claiming she is engaged
- 15:12Speaker 1: to a 50-year-old transient, and just say, looks good to me?
- 15:16Speaker 2: It forces you to wonder.
- 15:17Speaker 1: Didn't they ask for a marriage license? A joint bank account?
- 15:21Speaker 1: Proof of shared residency? How did this get past the gatekeepers?
- 15:26Speaker 1: It forces you to wonder how much the illusion of
- 15:28Speaker 1: their respectability to well-dressed older women blinded the insurance brokers
- 15:33Speaker 1: to obvious fraud.
- 15:35Speaker 2: It played a huge role. But to really understand that,
- 15:37Speaker 2: we have to look at the concept of insurable interest.
- 15:40Speaker 1: Okay. What is that?
- 15:41Speaker 2: It's how the insurance industry actually operated, especially in the
- 15:44Speaker 2: late 90s and early 2000s. The concept of insurable interest
- 15:48Speaker 2: dates back to the 18th century. It was created specifically
- 15:52Speaker 2: to stop people from gambling on the lives of strangers,
- 15:54Speaker 2: which back then was leading to a rash of murders.
- 15:57Speaker 1: Right. Makes sense.
- 15:58Speaker 2: The law requires that the person buying the policy must
- 16:01Speaker 2: suffer a legitimate financial loss if the insured person dies.
- 16:04Speaker 1: Like a spouse losing an income or, I don't know,
- 16:07Speaker 1: a business partner losing a key founder.
- 16:10Speaker 2: Precisely. So theoretically, the insurance company should have rigorously vetted
- 16:14Speaker 2: Helen and Olga's claims about being a fiancé or a
- 16:17Speaker 2: business partner.
- 16:18Speaker 1: But they didn't.
- 16:19Speaker 2: No. And here is the massive systemic failure that this
- 16:23Speaker 2: case exposed. In the era before massive interconnected digital databases
- 16:29Speaker 2: and advanced AI risk modeling, much of this underwriting was
- 16:33Speaker 2: heavily reliant on the honor system and surface level paperwork.
- 16:36Speaker 1: The honor system for millions of dollars.
- 16:40Speaker 2: Basically, if the application was filled out correctly and if
- 16:43Speaker 2: there were no obvious medical red flags that required extensive
- 16:47Speaker 2: blood work, it often just breezed right through the system.
- 16:50Speaker 1: But surely they verify the relationship.
- 16:52Speaker 2: You would think so. But remember, insurance companies are businesses.
- 16:55Speaker 2: They are driven by premium revenue.
- 16:57Speaker 1: Right. The bottom line.
- 16:58Speaker 2: Sale agents earn commissions for writing policies. Underwriters are pressured
- 17:02Speaker 2: to process volume. And Helen Golay was wealthy.
- 17:05Speaker 1: Oh, I see where this is going.
- 17:07Speaker 2: When the premium checks came in, they didn't bounce. They
- 17:09Speaker 2: cleared every single month, drawn from a legitimate bank account
- 17:13Speaker 2: associated with high-value real estate.
- 17:15Speaker 1: So you're saying the money blinded them. The bureaucratic machine
- 17:18Speaker 1: was so happy to be fed these on-time premiums that
- 17:21Speaker 1: they just didn't want to look too closely at the
- 17:23Speaker 1: bizarre demographics of the policyholders.
- 17:25Speaker 2: Exactly. The checks cleared, so the system looked the other way.
- 17:29Speaker 2: Helen and Olga used their wealth and their grandmotherly respectability
- 17:33Speaker 2: as a battering ram against the underwriting process.
- 17:37Speaker 1: And it worked? It did.
- 17:38Speaker 2: They believed that because of their age and their perceived status,
- 17:42Speaker 2: no one would dare question their charity or their supposed
- 17:45Speaker 2: business ventures. Wow. And tragically, for Vados and McDavid, they
- 17:49Speaker 2: were completely right. The illusion held, the policies matured, the
- 17:54Speaker 2: murders were executed, and the payouts were made.
- 17:57Speaker 1: Payouts totaling $ 2. 3 million. They collected $ 2. 3 million across these policies.
- 18:04Speaker 2: Staggering.
- 18:05Speaker 1: I mean, look, if I steal $ 2 million and get
- 18:07Speaker 1: away with it perfectly... I am moving to an island
- 18:10Speaker 1: and you will never hear from me again. I am
- 18:11Speaker 1: retiring from the murder business.
- 18:13Speaker 2: Which proves our earlier point right. This was never about survival.
- 18:16Speaker 2: It was never about securing a retirement fund.
- 18:18Speaker 1: It was a game to them.
- 18:19Speaker 2: It was an addiction to the game. The money was
- 18:21Speaker 2: just how they kept score. They had a system that
- 18:23Speaker 2: worked flawlessly twice. The greed dictated that they run the
- 18:27Speaker 2: play a third time.
- 18:29Speaker 1: And that is when they finally made a mistake.
- 18:32Speaker 2: Which brings us to Jimmy Covington.
- 18:34Speaker 1: Yes, Jimmy Covington.
- 18:35Speaker 2: He is a name that really deserves to be highlighted
- 18:38Speaker 2: in this story because he is the one who broke
- 18:40Speaker 2: the cycle. He is the survivor in all of this.
- 18:44Speaker 1: His interaction with Helen and Olga is an absolute masterclass
- 18:48Speaker 1: in human intuition overriding desperate circumstances.
- 18:51Speaker 2: So let's look at how they approached him. Jimmy was
- 18:54Speaker 2: 48 years old, and like the others, he was unhoused.
- 18:57Speaker 2: He was living day to day on the streets of
- 18:59Speaker 2: Los Angeles.
- 19:00Speaker 1: Right.
- 19:01Speaker 2: Helen and Olga targeted him using the exact same playbook.
- 19:05Speaker 2: They approached him, acted like these guardian angels, and offered
- 19:08Speaker 2: him the ultimate bait. They promised him free meals, and
- 19:12Speaker 2: they promised to pay for a place for him to live.
- 19:14Speaker 1: And I really want to emphasize the psychological weight of
- 19:16Speaker 1: that offer.
- 19:17Speaker 2: Yeah, it must have been immense.
- 19:18Speaker 1: When you are living on the street, you are in
- 19:20Speaker 1: a constant state of hypervigilance. You are worried about violence.
- 19:23Speaker 1: You are worried about the weather. You are worried about
- 19:25Speaker 1: where your next meal is coming from.
- 19:26Speaker 2: Survival mode. 204.7.
- 19:28Speaker 1: Right.
- 19:29Speaker 2: Your hierarchy of needs is completely focused on immediate physical survival.
- 19:34Speaker 2: So when two kindly older women appear out of nowhere
- 19:37Speaker 2: offering a warm bed and food, the pressure to just
- 19:41Speaker 2: accept the help, to let your guard down, must be
- 19:44Speaker 2: nearly impossible to resist.
- 19:46Speaker 1: But Jimmy Covington resisted.
- 19:48Speaker 2: He did.
- 19:48Speaker 1: The source material from oxygen explicitly notes that he walked away.
- 19:54Speaker 1: And the reason he walked away is the crucial pivot
- 19:56Speaker 1: point of this entire story.
- 19:58Speaker 2: It changes everything.
- 19:59Speaker 1: He didn't run away because they threatened him. He walked
- 20:01Speaker 1: away because, quote, red flags were raised when they asked
- 20:05Speaker 1: him for personal information in order to fill out forms.
- 20:07Speaker 2: That is the exact moment the camouflage slipped.
- 20:10Speaker 1: I find this absolutely fascinating. He needs the food. He
- 20:13Speaker 1: desperately needs the shelter. But his gut instinct is screaming
- 20:17Speaker 1: at him that the math doesn't add up. Right. Why
- 20:19Speaker 1: are these sweet old women so obsessed with my social
- 20:22Speaker 1: security number? Why are they so desperate for my signature?
- 20:24Speaker 2: He recognized that the charity felt transactional. True charity is
- 20:29Speaker 2: given freely. But Helen and Olga had become sloppy. If
- 20:32Speaker 2: you look back at Paul Votto's, they spent two years
- 20:35Speaker 2: grooming him, building a narrative... carefully setting up the dominoes.
- 20:39Speaker 1: Right, taking their time.
- 20:40Speaker 2: By the time they get to Jimmy Covington, they are
- 20:42Speaker 2: suffering from extreme overconfidence.
- 20:45Speaker 1: So what does this all mean for their M.O.? They
- 20:48Speaker 1: got sloppy. They clearly viewed Covington less as a human
- 20:52Speaker 1: being to manipulate and more as a walking 1040 tax form.
- 20:56Speaker 2: Exactly. They had successfully murdered two people and made millions.
- 21:00Speaker 2: They probably thought they were untouchable geniuses. Right. So instead
- 21:04Speaker 2: of patiently grooming Jimmy, they just wanted to skip straight
- 21:06Speaker 2: to the paperwork. They stopped treating him like a human
- 21:09Speaker 2: being that needed to be carefully manipulated and started treating
- 21:12Speaker 2: him like a walking data set.
- 21:13Speaker 1: Just a means to an end.
- 21:15Speaker 2: They needed his identifying details to feed into the insurance machine.
- 21:18Speaker 2: Their eagerness to complete the bureaucratic process, the very thing
- 21:22Speaker 2: that made the scam profitable, overwhelmed their ability to play
- 21:26Speaker 2: the role of sweet grandmothers.
- 21:28Speaker 1: They were practically shoving a pen in his hand, saying, yes, yes,
- 21:31Speaker 1: God bless you, here's a sandwich, now please sign this
- 21:34Speaker 1: document so we can establish insurable interest.
- 21:37Speaker 2: And Jimmy saw right through it. His survival instincts saved
- 21:40Speaker 2: his life. And by walking away, he threw a massive
- 21:43Speaker 2: wrench into their entire machine.
- 21:46Speaker 1: He became a loose thread, someone who had seen their face,
- 21:49Speaker 1: understood their pitch, and walked away alive.
- 21:52Speaker 2: Exactly.
- 21:53Speaker 1: But while Covington walking away was the beginning of the end,
- 21:56Speaker 1: it wasn't what actually brought them down. Taking down Helen
- 21:59Speaker 1: and Olga required an incredible synthesis of old-school, traditional detective
- 22:04Speaker 1: work and emerging forensic technology.
- 22:06Speaker 2: Right. The transition to the investigation phase.
- 22:09Speaker 1: Yes. Which takes us to August 2006. Helen and Olga
- 22:13Speaker 1: are finally arrested for the murders of Vados and McDavid. Now,
- 22:17Speaker 1: when I was prepping for this deep dive, I listened
- 22:19Speaker 1: to a clip from Keith Morrison.
- 22:20Speaker 2: The legendary Dateline host. Yes.
- 22:22Speaker 1: He covered this in a podcast called The Thing About
- 22:25Speaker 1: Helen and Olga. And Morrison made a really fascinating point.
- 22:28Speaker 1: He said the absolute key to breaking this case wide
- 22:30Speaker 1: open was tracking down the murder weapon.
- 22:33Speaker 2: And the weapon wasn't a revolver?
- 22:34Speaker 1: No, it wasn't a vial of poison. It was a car.
- 22:37Speaker 2: Which is brilliant on the part of the killers if
- 22:39Speaker 2: we're speaking purely tactically.
- 22:41Speaker 1: Oh, for sure.
- 22:42Speaker 2: Using a vehicle as a murder weapon in a major
- 22:45Speaker 2: metropolis like Los Angeles is incredibly effective camouflage.
- 22:49Speaker 1: Because a hit and run doesn't inherently look like a
- 22:51Speaker 1: premeditated murder. It looks like a tragic accident caused by,
- 22:55Speaker 1: you know, a drunk or distracted driver who just panicked
- 22:59Speaker 1: and fled.
- 23:00Speaker 2: Precisely. The physics of the crime scene work entirely in
- 23:03Speaker 2: the killer's favor.
- 23:04Speaker 1: Oh, so?
- 23:05Speaker 2: Well, there is no close quarters struggle. There is no
- 23:08Speaker 2: gunshot residue. There is rarely a direct physical link left behind.
- 23:13Speaker 2: Unless a witness manages to memorize a license plate in
- 23:16Speaker 2: the dark, the trail goes cold almost immediately.
- 23:19Speaker 1: Right. It's just a mess on the road.
- 23:20Speaker 2: Hit and runs are notoriously difficult to solve because they
- 23:23Speaker 2: are inherently chaotic.
- 23:25Speaker 1: So how did the LAPD solve this one? Morrison pointed
- 23:28Speaker 1: out that the detectives had to do it the new,
- 23:30Speaker 1: old-fashioned way. They had to rely on security cameras. And
- 23:34Speaker 1: this is where the era of the crime becomes incredibly important.
- 23:37Speaker 1: We were talking about 2005.
- 23:38Speaker 2: 2005 is a fascinating transitional period in forensic science.
- 23:42Speaker 1: Right.
- 23:43Speaker 2: Today, if a crime happens on a city street, there
- 23:46Speaker 2: are high-definition ring cameras, Tesla dash cams, 4K security feeds
- 23:51Speaker 2: covering literally every angle.
- 23:53Speaker 1: You can't sneeze without being in 4K. Exactly.
- 23:54Speaker 2: Exactly. But in 2005, CCTV was much rarer, and the
- 23:59Speaker 2: quality was generally terrible. We're talking about analog systems recording
- 24:04Speaker 2: onto VHS tapes on a 24-hour loop or very early,
- 24:09Speaker 2: highly compressed digital drives.
- 24:11Speaker 1: You aren't getting 1080p footage. The Oxygen article explicitly describes
- 24:15Speaker 1: the footage the detectives found as grainy.
- 24:18Speaker 2: Very grainy.
- 24:19Speaker 1: You can't just hit a button on a keyboard, shout, enhance.
- 24:22Speaker 1: like they do on CSI, and magically read the license
- 24:25Speaker 1: plate reflected in a puddle, you know?
- 24:27Speaker 2: Not at all. When investigators pulled the tape from a
- 24:29Speaker 2: camera that happened to be pointed down the alley where
- 24:31Speaker 2: Kenneth McDavid was killed, they didn't see a clear picture
- 24:33Speaker 2: of Helen and Olga driving a car.
- 24:34Speaker 1: What did they see?
- 24:35Speaker 2: They saw a blurry pixelated mass of light and shadow
- 24:38Speaker 2: moving across the frame. They just saw the violent kinematics
- 24:41Speaker 2: of a vehicle striking a pedestrian.
- 24:43Speaker 1: Wow. So how do you get from a blurry pixelated
- 24:46Speaker 1: blob to a wealthy real estate investor?
- 24:49Speaker 2: Through grueling, tedious shoe leather detective work, they had to
- 24:54Speaker 2: analyze the geometry of the taillights visible in that grainy video.
- 24:58Speaker 1: The geometry. Yeah.
- 25:00Speaker 2: By looking at the light scatter and the shape of
- 25:02Speaker 2: the rear chassis, automotive experts could narrow down the make
- 25:05Speaker 2: and model of the vehicle.
- 25:06Speaker 1: That is wild.
- 25:07Speaker 2: In this case, they identified it as a 1999 Mercury Sable.
- 25:11Speaker 1: Okay, so they know the car model. But there are
- 25:13Speaker 1: probably thousands of 1999 Mercury Sables in Southern California.
- 25:17Speaker 2: Exactly. So then the detectives have to hit the databases.
- 25:21Speaker 2: They cross-reference DMV records for that specific make and model
- 25:24Speaker 2: with known associates of the victims.
- 25:26Speaker 1: Or in this case, the people who had recently come
- 25:28Speaker 1: forward to claim massive insurance payouts on a homeless man.
- 25:31Speaker 2: Exactly. The paper trail of the insurance fraud met the
- 25:34Speaker 2: forensic trail of the taillight geometry.
- 25:37Speaker 1: They found the car. They tracked it back to Helen
- 25:39Speaker 1: and Olga. And once they had the physical vehicle, the
- 25:41Speaker 1: science took over. The article notes the DNA evidence ultimately
- 25:45Speaker 1: bolstered the case. They found microscopic evidence on the undercarriage
- 25:49Speaker 1: of that sable that directly linked it to Kenneth McDavid.
- 25:52Speaker 2: It is a profound irony.
- 25:54Speaker 1: How so?
- 25:55Speaker 2: These two women operated entirely on the macro level. They
- 25:59Speaker 2: manipulated grand societal narratives about elderly women. They exploited massive
- 26:04Speaker 2: corporate insurance bureaucracies. They moved millions of dollars around. Right.
- 26:08Speaker 2: But they were ultimately brought down by the micro level.
- 26:11Speaker 2: A single woman. blurry pixel on a security tape, and
- 26:14Speaker 2: a microscopic strand of DNA.
- 26:17Speaker 1: Isn't it fascinating that they planned for the human element,
- 26:20Speaker 1: fooling the victims, fooling the insurance companies, but entirely forgot
- 26:23Speaker 1: about the mechanical element of CCTV?
- 26:26Speaker 2: They failed to adapt their 1990s playbook to the technology
- 26:29Speaker 2: of 2005. The camera didn't care that they were wearing
- 26:32Speaker 2: nice cardigans.
- 26:32Speaker 1: The camera doesn't have a halo effect.
- 26:34Speaker 2: Exactly. It just recorded the physics of a 3,000-pound machine
- 26:37Speaker 2: crushing a human being.
- 26:39Speaker 1: But here is where the story takes its final... Most
- 26:42Speaker 1: spectacular twist.
- 26:43Speaker 2: The best part.
- 26:44Speaker 1: The detectives had the car. They had the DNA. They
- 26:47Speaker 1: had the fraudulent insurance paperwork. The evidence was mounting. But
- 26:51Speaker 1: the final nail in the coffin didn't come from a
- 26:54Speaker 1: brilliant interrogation by a seasoned detective. Nope. It didn't come
- 26:58Speaker 1: from a forensic scientist on the witness stand. It came
- 27:01Speaker 1: directly from the mouths of the killers themselves.
- 27:04Speaker 2: Which brings us to one of the most staggering displays
- 27:06Speaker 2: of hubris and cognitive dissonance in modern true crime history.
- 27:10Speaker 1: The hot mic.
- 27:11Speaker 2: Yes. The secret recording in the lockup.
- 27:15Speaker 1: Let's set the scene for this because it's unbelievable. Helen
- 27:18Speaker 1: and Olga have been arrested. They are sitting together in
- 27:21Speaker 1: a holding cell. They believe they're completely alone.
- 27:24Speaker 2: Right.
- 27:24Speaker 1: They believe they're having a private, off-the-record conversation. They have
- 27:28Speaker 1: no idea the room is wired for sound and video.
- 27:32Speaker 1: And the prosecution plays this tape for the jury at
- 27:34Speaker 1: their trial. In this video, Olga Ruderschmidt turns on Helen Golay.
- 27:40Speaker 1: And she starts berating her.
- 27:41Speaker 2: And the exact quote provided in the Oxygen article is
- 27:44Speaker 2: essential to analyze here. Olga looks at Helen and says,
- 27:48Speaker 2: it's your fault. You can't have that many insurances. You
- 27:51Speaker 2: were greedy. That's the problem.
- 27:53Speaker 1: Wait, I had to read that sentence three times in
- 27:56Speaker 1: the brief to make sure my brain was processing it correctly.
- 27:59Speaker 2: That's insane.
- 27:59Speaker 1: Olga Ruderschmidt, a woman who spent eight years participating in
- 28:03Speaker 1: the grooming and industrialized slaughter of vulnerable homeless men, is
- 28:07Speaker 1: calling Helen greedy. That is breathtaking hypocrisy.
- 28:11Speaker 2: Oh, absolutely.
- 28:12Speaker 1: It's like a bank robber getting mad at the getaway
- 28:14Speaker 1: driver for using premium gas.
- 28:17Speaker 2: Yeah.
- 28:17Speaker 1: She isn't mad that they are committing crimes. She is
- 28:19Speaker 1: furious about the lack of camouflage.
- 28:22Speaker 2: That analogy hits the nail on the head. Olga is
- 28:25Speaker 2: angry about operational risk, not moral failing. Right. When you
- 28:28Speaker 2: listen to that tape, you realize what is missing. There
- 28:31Speaker 2: is not a single syllable of remorse for Paul Vados. None.
- 28:35Speaker 2: There is no weeping for Kenneth McDavid. They do not
- 28:38Speaker 2: express regret that two human beings were crushed to death
- 28:41Speaker 2: in alleyways. Olga is entirely focused on the logistical errors
- 28:44Speaker 2: of their business model.
- 28:46Speaker 1: She is mad about the paperwork. You can't have that
- 28:48Speaker 1: many insurances. She is basically saying, Helen, we had a
- 28:52Speaker 1: good thing going, but you had to take out too
- 28:54Speaker 1: many policies and you triggered the fraud algorithms.
- 28:58Speaker 2: It is the ultimate psychological projection. Olga is attempting to
- 29:02Speaker 2: distance herself from the downfall by blaming Helen's lack of restraint.
- 29:06Speaker 2: while completely ignoring her own complicity in the murders.
- 29:09Speaker 1: Wow.
- 29:09Speaker 2: In Olga's mind, the murders weren't the flaw. The flaw
- 29:12Speaker 2: was poor risk management. The victims didn't even register as
- 29:16Speaker 2: people to them. They were just the underlying assets of
- 29:19Speaker 2: the insurances.
- 29:20Speaker 1: And they handed this conversation directly to the prosecution. It
- 29:23Speaker 1: is classic prisoner's dilemma, except they weren't even being interrogated.
- 29:27Speaker 2: They did it to themselves.
- 29:28Speaker 1: They just sat in a room and destroyed their own defense.
- 29:31Speaker 1: Any lawyer trying to argue that these were just two confused,
- 29:34Speaker 1: sweet old ladies who got caught up in a misunderstanding
- 29:37Speaker 1: had their case instantly vaporized. by that tape.
- 29:40Speaker 2: The jury got to look behind the curtain. The halo
- 29:42Speaker 2: effect was shattered. They didn't see two grandmothers. They saw
- 29:46Speaker 2: two cold, calculating syndicate bosses arguing over a blown operation.
- 29:51Speaker 1: And the jury reacted accordingly. In 2008, both Helen Gallay
- 29:55Speaker 1: and Olga Ruderschmidt were convicted of murder conspiracy. They were
- 29:58Speaker 1: sentenced to life in prison without the possibility of parole,
- 30:02Speaker 1: a permanent concrete end to what was undoubtedly the most
- 30:05Speaker 1: gruesome retirement plan in California history.
- 30:08Speaker 2: And it is a case that continues to resonate. As
- 30:11Speaker 2: the source material points out, it has spawned those deep
- 30:13Speaker 2: dives by Dateline, episodes of American Creed, and just endless
- 30:17Speaker 2: psychological analysis. Right. We keep returning to it because it
- 30:21Speaker 2: touches on fears we don't like to acknowledge.
- 30:23Speaker 1: So let's bring this all together. What have we actually
- 30:25Speaker 1: learned today? We've dissected a nightmare. We've seen how a
- 30:30Speaker 1: wealthy real estate investor and a former coffee shop owner
- 30:33Speaker 1: weaponized society's perception of elderly women to become invisible predators.
- 30:38Speaker 2: Yeah.
- 30:39Speaker 1: We learned how they manipulated the two-year contestability clause of
- 30:42Speaker 1: life insurance policies to basically turn human lives into maturing
- 30:45Speaker 1: financial bonds.
- 30:46Speaker 2: Right.
- 30:47Speaker 1: And we saw how they were ultimately brought down by
- 30:48Speaker 1: a combination of a survivor's intuition, a grainy 2005 security camera,
- 30:54Speaker 1: and their own staggering hot mic hubris.
- 30:57Speaker 2: If you are listening to this, the takeaway is profoundly unsettling.
- 31:01Speaker 2: It forces a complete recalibration of how you perceive threats.
- 31:04Speaker 1: Definitely.
- 31:05Speaker 2: We are conditioned to fear the stranger in the dark alley.
- 31:09Speaker 2: But this case proves that malice doesn't always wear a
- 31:11Speaker 2: scary mask. Sometimes the most dangerous person in the room
- 31:16Speaker 2: is the polite, well-dressed older woman offering to help you
- 31:19Speaker 2: fill out a form.
- 31:20Speaker 1: It also forces us to confront how we treat the vulnerable.
- 31:24Speaker 2: Absolutely. The unhoused population is a demographic that is tragically
- 31:29Speaker 2: ignored by almost everyone in society, except by those actively
- 31:33Speaker 2: looking for someone to exploit. Helen and Olga didn't create
- 31:36Speaker 2: the invisibility of the homeless. They just leveraged it. They
- 31:40Speaker 2: saw society's indifference as a strategic asset.
- 31:43Speaker 1: That is a heavy, necessary truth to confront. It changes
- 31:46Speaker 1: how you look at the world and how you look
- 31:48Speaker 1: at the people we walk past every single day.
- 31:50Speaker 2: And I want to leave you with a final lingering
- 31:52Speaker 2: thought to mull over. Okay. We know Helen and Olga
- 31:54Speaker 2: were caught. We know Jimmy Covington's gut instinct saved him.
- 31:59Speaker 2: But consider the fragility of that outcome.
- 32:02Speaker 1: What do you mean?
- 32:02Speaker 2: If Jimmy Covington had been just a little more desperate
- 32:05Speaker 2: and hadn't walked away from those forms, or if that
- 32:08Speaker 2: single analog security camera hadn't happened to be pointed at
- 32:12Speaker 2: that exact street corner in 2005... Oh, wow.
- 32:15Speaker 1: They would have gotten away with it again.
- 32:16Speaker 2: They absolutely would have. How many more policies would they
- 32:19Speaker 2: have cashed in? Which makes you wonder... How many perfect
- 32:23Speaker 2: crimes are currently hiding in plain sight right now?
- 32:26Speaker 1: Jesus.
- 32:27Speaker 2: Protected by a friendly smile, a neat cardigan, and a
- 32:30Speaker 2: perfectly typed insurance application, just waiting for the premium to mature.
- 32:34Speaker 1: Now that is a thought that will keep you checking
- 32:36Speaker 1: over your shoulder. Thank you for joining us on this
- 32:38Speaker 1: deep dive. We'll catch you on the next one.