Dirty Numbers: True Stories of Fraud, Scams and Financial Crimes

About Dirty Numbers: True Stories of Fraud, Scams and Financial Crimes

Dirty Numbers: True Stories of Fraud, Scams, and Financial Crime is a gripping true crime podcast that uncovers real-world fraud cases, financial scams, and white-collar crime stories from around the globe. Hosted by Russel A. Irwin and produced by Podcast Production Labs, this cinematic, investigative series takes listeners deep inside the world of financial deception — from billion-dollar banking frauds to sophisticated online scams and shocking real-life heists. The voice that you hear on every episode is created using AI to and is designed to help you understand the details of every case while hanging on the edge of your seat. Perfect for fans of: True crime and investigative journalism Scam and fraud documentaries Financial crime breakdowns Dark, cinematic storytelling podcasts Subscribe now and discover the hidden truth behind the numbers — because every transaction tells a story… and some numbers are dirty. podcastproductionlabs.substack.com (https://podcastproductionlabs.substack.com/s/dirty-numbers-true-stories-of-fraud?utm_medium=podcast)

Publisher

Chris Creary

Category

news · true crime

Language

en

Explicit

No

First episode

6 Apr 2026

Latest episode

8 Jun 2026

Latest episodes

12 episodes in the feed.

1. 

   8 Jun 2026

   The Largest Jewelry Heist in American History.

   This is the season finale episode of the Dirty Numbers Podcast. If you are enjoying this podcast and would like a Season 2, Follow me on Instagram @Podcastproductionlabs (https://www.instagram.com/podcast_production_labs/) and send me a message. — On the night of July 10th, 2022, a crew of seven men followed an armored Brinks semi-trailer more than 300 miles down the I-5 freeway, broke into the back while a guard slept and the other grabbed food, and made off with 24 bags of gold, diamonds, rubies, and luxury watches. The declared value: $8.7 million. The real value: possibly $100 million. It was the largest jewelry heist in American history — and for nearly three years, no one was charged. In this episode, we go beyond the crime to follow the money: the fencing networks that turn stolen diamonds into clean cash, the insurance architecture that let a $100M theft get declared at less than 9 cents on the dollar, and the federal indictment that finally came — with one jaw-dropping twist nobody saw coming. This is the Hundred Million Dollar Night. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit podcastproductionlabs.substack.com (https://podcastproductionlabs.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

2. 

   1 Jun 2026

   The Lighthouse Scam

   What if the most dangerous financial crime happening right now wasn’t in a boardroom or a back alley — but in your text messages? In this episode of Dirty Numbers, we investigate one of the most audacious and devastating fraud operations of the modern era: a China-based criminal syndicate known as the Smishing Triad, and the platform they built to industrialize theft at a scale that should stop you cold. They called it Lighthouse. It was, in effect, an Amazon Web Services for criminals — a subscription-based phishing platform that gave anyone with $88 a week the tools to run a sophisticated, multi-country fraud campaign. Over 600 fake website templates. A real dashboard. Customer support. And a Telegram channel with over 2,500 active members openly recruiting, training, and coordinating. The numbers are staggering. Over one million victims. More than 120 countries targeted. Somewhere between 12.7 million and 115 million stolen credit card numbers — from the United States alone. Total losses estimated at one billion dollars. And it was all done through a single text message that looked like it came from your postal carrier. We follow the money through every layer of this operation — the data brokers who supplied the victim lists, the spammers firing 100,000 fraudulent texts per day, the theft crews who drained accounts within minutes of a victim clicking a link. We explain how they bypassed spam filters using Apple iMessage and Google’s own RCS platform. We break down the criminal business model that made this operation not just profitable, but scalable. And then we get to the moment that changed everything: Google’s landmark federal lawsuit — filed under the RICO Act, the same law used to dismantle the American Mafia — and the extraordinary fact that within 24 hours of filing, the Lighthouse platform went dark. But here’s the honest truth this episode doesn’t shy away from: one lawsuit is not a victory. The criminal ecosystem that built Lighthouse is already rebuilding. And the next platform may be harder to stop. This episode will change how you think about the texts on your phone, the trust you place in familiar brands, and the quiet, invisible war being fought right now over the integrity of your financial life. Listen — and then share it with someone who needs to hear it. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit podcastproductionlabs.substack.com (https://podcastproductionlabs.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

3. 

   25 May 2026

   The Pig Butchers of Myanmar

   Someone is texting you right now. You don't know them. But they know exactly what they're doing.In this episode of Dirty Numbers, we pull back the curtain on one of the most sophisticated financial crime operations in American history — a network of walled compounds in Myanmar where enslaved workers were beaten and forced to steal billions of dollars from ordinary Americans. The FBI calls it "pig butchering." The criminals call it a business.On April 23rd, 2026, the U.S. Department of Justice made its biggest move yet — freezing over $700 million in cryptocurrency, shutting down 503 fake investment websites, and charging the Chinese bosses who ran a torture compound at the center of it all.But here's what you need to understand: the victims weren't careless. They weren't gullible. They were targeted — by professional manipulators, AI-generated personas, and a criminal machine that had years of practice dismantling American lives.A widow from Illinois. A retired man in San Francisco. Ninety-three victims referred to FBI suicide intervention specialists. Real people. Real losses.This is the full story — how the scam works, where the money goes, who's behind it, and why the government is now throwing $10 million bounties and federal indictments at a problem that's only getting bigger.You need to hear this. So does everyone you know. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit podcastproductionlabs.substack.com (https://podcastproductionlabs.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

4. 

   19 May 2026

   Unmasking Amazon Fraud: The $9.4M Insider Deception

   Discover the incredible true story of two women who orchestrated a nearly $10 million fraud against Amazon. In this episode of Dirty Numbers, we unmask the elaborate scheme that involved fake vendors, stolen identities, and a network within Amazon's own delivery service program. Learn how their insatiable greed led to a lavish lifestyle, conspicuous spending, and ultimately, a federal jury verdict on 30 counts. From a Lamborghini in the driveway to forging a federal judge's signature, this financial crime saga reveals crucial insights into corporate vulnerabilities, insider threats, and the meticulous investigation by the Secret Service that brought it all crashing down. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit podcastproductionlabs.substack.com (https://podcastproductionlabs.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

5. 

   11 May 2026

   The Invisible Pipeline: Inside the France–Morocco Money Laundering Network

   Money doesn’t just disappear—it gets rewritten. In this episode, we follow a quiet trail that stretches from the streets of Paris to luxury developments in Morocco, uncovering a sophisticated financial network designed to turn illicit cash into legitimate wealth. What begins as irregular deposits inside ordinary businesses quickly expands into something far larger—thousands of companies, layered transactions, and a system built to hide in plain sight. As investigators dig deeper, the story reveals how modern money laundering really works: not through secrecy alone, but through structure, scale, and strategic movement across borders. With hundreds of millions of euros potentially flowing through this network, and high-profile names now entering the conversation, the lines between business, influence, and criminal finance begin to blur. This is not just a story about crime.It’s a story about systems. And once you see how it works… you start to realize—it may be happening far more often than anyone wants to admit. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit podcastproductionlabs.substack.com (https://podcastproductionlabs.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

6. 

   4 May 2026

   The KitKat Heist: Europe's Chocolate Crime Underworld

   What happens when 400,000 KitKat bars vanish? It's not a joke, it's a deep dive into Europe's criminal financial underground. Tune into this episode of Dirty Numbers as we uncover the 2026 KitKat heist, a seemingly delicious crime that reveals how sophisticated networks perpetrate commercial fraud, launder money, and fund global illicit operations. From "ghost companies" to the chocolate's role as a criminal asset, we'll explore why food cargo theft is a billion-dollar problem affecting supply chains and honest businesses. Discover why this vanished chocolate truck is a window into a hidden economy and what Nestlé is doing to fight back. Tune in to understand the real cost of a stolen candy bar. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit podcastproductionlabs.substack.com (https://podcastproductionlabs.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

7. 

   27 Apr 2026

   The Vault Was Never Safe

   A bank vault is supposed to be the end of the story. The final layer.The place where risk disappears. But over a quiet Christmas weekend in Gelsenkirchen, that assumption was tested—and quietly dismantled. No alarms.No forced entry.No confrontation. Instead, a group of thieves entered from below… drilling through reinforced concrete and into one of the most secure areas of a Sparkasse branch. What they found inside were more than three thousand safety deposit boxes—each one holding something someone believed was protected. By the time the breach was discovered, the damage had already been done. Millions in cash and valuables were gone.But for many, the loss went far beyond money. Because what was taken wasn’t just wealth.It was trust. In this episode, we break down how the heist unfolded, why it wasn’t immediately detected, and what happens when systems designed to protect… fail silently. No suspects.No clear answers.And a question that still remains: If a vault like this can be breached without a trace—what does “secure” really mean? This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit podcastproductionlabs.substack.com (https://podcastproductionlabs.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

8. 

   20 Apr 2026

   The $500,000 Glance: How a Pair of AI Glasses Exposed the Future of Financial Crime

   On April 17, 2026, the Toronto Police Service held a press conference that most Canadians scrolled past in their news feeds. Seven people charged. Retail fraud. GTA. Half a million dollars. Easy to dismiss as a local crime story. A clever heist, maybe. A cautionary tale for store managers. But if you slow down and look at the details — really look at them — this case is something else entirely. It is a preview. A glimpse of what financial crime looks like when artificial intelligence stops being a buzzword and becomes a weapon. This week on Dirty Numbers, we tell that story in full. And I want to use this post to give you a deeper read on why it matters far beyond the borders of Toronto. What Actually Happened Between September 2025 and February 2026, a group of seven individuals moved methodically through retail stores across the Greater Toronto Area. Their method was elegant in its simplicity and terrifying in its implications. They wore AI-enabled smart glasses — devices that look, to any casual observer, like an ordinary pair of eyewear. Equipped with built-in cameras and AI processing, these glasses can read and record text in real time. Including passwords. Including login credentials typed into point-of-sale terminals by unsuspecting retail employees. Here is the play: walk into a store. Engineer a problem at the self-checkout — a coupon that won’t scan, a transaction that needs a supervisor override, anything that requires an employee to physically come to the terminal and type in their access credentials. While they type, the glasses record. The AI does the rest. Then come back later — without the glasses — log into the store’s systems using the stolen credentials, and load funds onto gift cards through the self- checkout kiosks. Untraceable. Untaxed. Done. Toronto police confirmed 112 separate incidents tied to this scheme. Total losses: an estimated $500,000. Five suspects have been arrested and charged. Two — Danibros Flores, 49, and Remfrance Jusi, 41 — remain at large on Canada-wide warrants. Why Gift Cards? Follow the Money. Detective David Coffey of the Toronto Police Financial Crimes Unit said it plainly when the charges were announced: “Gift cards are gold for fraudsters. They’re untraceable, they’re mobile and they’re very hard to locate.” — Det. David Coffey This is where the story stops being about retail theft and starts being about financial crime. Gift cards are, functionally, a money laundering instrument. Load stolen value onto them and you have converted unauthorized digital access into a bearer asset — something as liquid as cash, with no bank to call, no fraud department to alert, no automatic freeze when suspicious activity is detected. The scheme maps cleanly onto a classic money laundering typology: Credential theft → unauthorized system access → gift card loading → liquidation. Each step converts the proceeds of crime into something harder to trace. By the end of the chain, the money is effectively clean. Spent, sold online, or handed off to the next layer of the network. This is not shoplifting with a side of technology. This is organized financial crime using consumer AI as its primary tool. The Bigger Number Nobody Talks About The $500,000 figure is striking. But it sits inside a much larger and more disturbing context. In 2024, the Canadian Anti-Fraud Centre documented $643 million in reported fraud losses across the country. That was a near 300% increase from 2020. And by the CAFC’s own estimation, reported losses represent only 5 to 10 percent of what actually happens — because most victims never come forward. Do the math. Canada’s true annual fraud loss may exceed $10 billion. The federal government has recognized the scale of the problem. Budget 2025 announced Canada’s first-ever National Anti-Fraud Strategy and committed to the creation of a new Financial Crimes Agency — a dedicated enforcement body designed to investigate exactly these kinds of complex, technology- enabled financial crimes. That agency was scheduled to be operational by Spring 2026. The Toronto fraud network had been running since September 2025. The criminals were operating while the institution designed to stop them was still being built. The Technology Is Not Going Away Here is the part that should keep retail security professionals — and frankly, all of us — up at night. The smart glasses used in this scheme are commercially available right now. They are not experimental. They are not classified. They are consumer products, sold legally, designed for accessibility and hands-free productivity. The AI processing that makes them capable of reading and recording keystrokes in real time is the same technology that powers your phone’s camera features, your smart home devices, your productivity tools. There is no regulatory barrier to purchasing them. There is no licensing requirement. There is no way for a store employee to know, standing at a checkout terminal, whether the customer in front of them is wearing a pair of prescription lenses or a sophisticated credential-capture device. This is the fundamental challenge of defending against AI-enabled social engineering: the attack is designed to look perfectly normal. The distraction technique is not a flaw in the methodology. It is the methodology. What the Investigation Tells Us The Toronto Police’s major fraud division deserves genuine credit here. Starting from a single complaint by a national retailer’s corporate security team in January 2026, they built a case that identified seven suspects and confirmed 112 incidents in roughly three months. The irony, as Detective Coffey noted, was that the same surveillance infrastructure the criminals were exploiting became the tool that unmasked them. The cameras above every checkout lane, every entrance, every aisle — the omnipresent eye of modern retail — caught faces that AI glasses never anticipated being caught. But the investigation also reveals the structural weakness in how we respond to emerging financial crime. Six months of operations. Over a hundred incidents. Multiple retail chains across a major metropolitan region. All of it happening before a single complaint triggered an investigation. The gap between when a new fraud typology emerges and when enforcement catches up is where sophisticated criminal networks operate. And that gap is widening as the technology accelerates. The Episode In this week’s episode of Dirty Numbers, we go deep on every layer of this story: A scene-by-scene reconstruction of how a single attack played out A breakdown of the AI technology involved and what it can actually do The full money trail — from credential theft to gift card liquidation The investigation: how police cracked it, who’s charged, and who’s still at large Canada’s $643 million fraud crisis and where the GTA case fits within it What retailers, policymakers, and consumers need to do differently This is financial crime in the age of artificial intelligence. And it is not a Toronto problem. It is a preview of what is coming everywhere. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit podcastproductionlabs.substack.com (https://podcastproductionlabs.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

9. 

   13 Apr 2026

   The Voice That Wasn’t There — The $21 Million Grandparent Scam

   The phone rings. On the other end… a voice you trust.Familiar. Urgent. Desperate. It sounds like someone you love. But it isn’t. In this episode, we uncover the chilling true story behind a multi-million dollar fraud operation that turned family bonds into weapons. Operating out of Canada and targeting elderly victims across the United States, a network of call-centre scammers stole more than $21 million—one emotional phone call at a time. This is not just a story about crime.It’s a story about manipulation.About how fear can override logic…And how love can be exploited with devastating precision. From the rise of a calculated mastermind to the collapse of an international scam ring, this episode pulls you deep inside a world where voices are cloned, identities are fabricated, and trust is the ultimate currency. Because in a world where technology can imitate anyone… How do you know who’s real? Listen closely.The next voice you hear… might not be who you think it is. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit podcastproductionlabs.substack.com (https://podcastproductionlabs.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

10. 

    7 Apr 2026

    The SSL Case: When Trust Becomes a Weapon

    This is not just a story about money. It’s a story about trust — how it’s built, how it’s broken, and what it costs when the systems designed to protect people begin to fail. In this episode, we step beyond the headlines surrounding Stocks & Securities Limited (SSL) and examine what is known, what is alleged, and what remains unanswered. From the rise of a respected financial institution to the charges laid against its former senior executives, this case forces a deeper question: how does something like this happen in plain sight? But this isn’t just about executives, investigations, or courtrooms. It’s about the people behind the accounts — the lives disrupted, the confidence shaken, and the silence that allowed it to continue. Because when financial trust collapses, the damage reaches far beyond dollars and cents. It reshapes how people see institutions.It challenges what we believe is secure. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit podcastproductionlabs.substack.com (https://podcastproductionlabs.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

11. 

    6 Apr 2026

    The Louvre Heist 2025 — Eight Minutes to Steal History

    Paris. Morning. The Louvre is open, crowded, alive. And in less than eight minutes… it’s breached. No chaos. No gunfire. No dramatic escape. Just a small team, moving with precision—disguised, prepared, and completely in control. They don’t take everything. Only what they came for. Priceless French Crown Jewels… gone in broad daylight. In this episode, we break down how it happened—step by step. The planning. The blind spots. The system that failed just long enough for history to be taken. Because this wasn’t just a robbery. It was a reminder. That even the most protected places in the world… are only as secure as the assumptions behind them. This is Dirty Numbers. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit podcastproductionlabs.substack.com (https://podcastproductionlabs.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

12. 

    6 Apr 2026

    Dirty Numbers - Trailer

    Dirty Numbers: True Stories of Fraud, Scams, and Financial Crime is a gripping true crime podcast that uncovers real-world fraud cases, financial scams, and white-collar crime stories from around the globe. Hosted by Russel A. Irwin and produced by Podcast Production Labs, this cinematic, investigative series takes listeners deep inside the world of financial deception — from billion-dollar banking frauds to sophisticated online scams and shocking real-life heists. Each episode breaks down: How major frauds and scams actually work The methods criminals use to steal money and avoid detection Real victims and the impact of financial crime The psychology behind scams, deception, and manipulation Key lessons to help you recognize and avoid fraud If you’re interested in true crime podcasts, financial crime stories, scam awareness, fraud investigations, and real-life con artist cases, Dirty Numbers delivers high-stakes storytelling that is both educational and unforgettable. Perfect for fans of: True crime and investigative journalism Scam and fraud documentaries Financial crime breakdowns Dark, cinematic storytelling podcasts Subscribe now and discover the hidden truth behind the numbers — because every transaction tells a story… and some numbers are dirty. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit podcastproductionlabs.substack.com (https://podcastproductionlabs.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

2.0 / 5

3 ratings

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