Canada is in the grip of a car-theft epidemic - one that looks less like petty crime and more like a billion-dollar logistics business. Since 2020, thousands of late-model SUVs and pickups have vanished from suburban driveways, funneled through ports, and shipped overseas in a global supply chain run by organized crime.

In this episode, we dig into the anatomy of the surge: 75 organized crime groups in Ontario alone, a 62% year-over-year increase in professional theft rings, and a single border sweep that netted 598 stolen vehicles at the Port of Montreal. Insurance losses hit an unprecedented $1.5 billion in 2023, triple the pre-pandemic average.

But there’s a twist: in 2024 and 2025, thefts finally began to fall. Why? Not because of courtroom battles over bail reform, but because governments and industry finally hit the criminals where it hurts—the export pipeline. From container inspections to international intelligence-sharing, these efforts slashed thefts by 19% nationwide in just six months.

This is more than a story about stolen cars - it’s about how organized crime adapts, how politics shapes policing, and how evidence points to what actually works. From the driveway to the dock, we uncover the real story behind Canada’s car-theft explosion.

AI is moving from the lab to the street, powering everything from threat detection and cybercrime response to emergency management. In this episode, we unpack what the latest research says about AI in policing: its promise to reduce human bias and make decisions more consistent; the surge in OSINT and smart-city tools; and why explainable AI, strong legal guardrails, and public trust are non-negotiable.

We explore how data-driven policing can improve safety while confronting real risks: algorithmic bias, opaque models, and surveillance overreach, etc., and why cross-disciplinary collaboration (technologists, police leaders, policymakers, and communities) is the only path to responsible adoption. If you’ve ever wondered whether algorithms can make policing fairer, or just faster, this episode separates the hype from the hard questions.

Note that we will also irritatingly attempt to cite our sources within the podcast... not sorry.

What if crime wasn’t just counted, but weighed? Canada’s Crime Severity Index (CSI) does exactly that, shifting the focus from how many crimes occur to how serious they are. In this episode, we unpack how the CSI, first introduced in 2009, revolutionized the way we measure crime by using court sentencing data to give more weight to high-harm offenses like homicide and fraud, while downplaying minor incidents.

We’ll explore what the CSI reveals about Canada’s long-term crime trends, including decades of decline, the rise of cybercrime and sexual offenses after 2015, and the surprising recent drop in severity. Along the way, we’ll highlight what the index can (and can’t) tell us about safety, why policymakers and police rely on it, and how Canada’s pioneering model is inspiring similar approaches in the UK, Australia, and New Zealand.

Join us for a thought-provoking look at the numbers behind crime—and what they really mean for communities.

Our inaugural podcast on Crime Bytes!