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Freakonomics Radio

668. Do Taylor Swift and Bad Bunny Have Blood on Their Hands?

53 min episode · 2 min read
·
Bapu Jena,Christopher Worsham

Episode

53 min

Read time

2 min

Topics

Fundraising & VC, Psychology & Behavior, Science & Discovery

AI-Generated Summary

Key Takeaways

  • Natural experiment methodology: Album release dates function as natural experiments because they create sudden, measurable spikes in streaming behavior — Spotify volume rises 40% on release days — without being chosen by researchers. Comparing fatalities to the same weekday one week before and after controls for the well-documented Friday traffic effect, isolating the album release signal specifically.
  • Falsification testing as credibility check: Running 1,000 iterations of randomized placebo dates produced the observed effect size only 1-2% of the time, confirming the result exceeds chance. Applying each album's calendar date to years with no release showed no fatality spike, and the effect diminished progressively as albums ranked lower in first-day stream counts.
  • Passenger presence as protective factor: Solo drivers show a larger album-release fatality effect than drivers with passengers. On album release days specifically, having a passenger reduces crash risk relative to surrounding days, suggesting a second occupant either operates the device or simply reduces the driver's impulse to interact with the phone or infotainment system.
  • CarPlay amplifies rather than reduces risk: Vehicles equipped with Apple CarPlay show a larger album-release fatality effect, not a smaller one. The hands-free interface lowers the friction of accessing music, causing drivers to interact with the system more frequently than they would without it — a compensating behavior pattern consistent with economist Sam Peltzman's model of risk adaptation.
  • Telematics data gap limits traffic safety research: Federal FARS data lags two-plus years and lacks granular driver behavior records. Automakers and platforms like Apple and Google hold real-time telematics — acceleration, braking, app usage at moment of impact — but deny researcher access. Closing this gap would allow direct causal analysis rather than inference chains through natural experiments.

What It Covers

Harvard physician-economists Bapu Jena, Vishal Patel, and Chris Worsham publish an NBER working paper finding that major Spotify album releases — from artists like Taylor Swift, Bad Bunny, and Drake — correlate with a 15% spike in US traffic fatalities, roughly 18 additional deaths per release day, driven by smartphone distraction.

Key Questions Answered

  • Natural experiment methodology: Album release dates function as natural experiments because they create sudden, measurable spikes in streaming behavior — Spotify volume rises 40% on release days — without being chosen by researchers. Comparing fatalities to the same weekday one week before and after controls for the well-documented Friday traffic effect, isolating the album release signal specifically.
  • Falsification testing as credibility check: Running 1,000 iterations of randomized placebo dates produced the observed effect size only 1-2% of the time, confirming the result exceeds chance. Applying each album's calendar date to years with no release showed no fatality spike, and the effect diminished progressively as albums ranked lower in first-day stream counts.
  • Passenger presence as protective factor: Solo drivers show a larger album-release fatality effect than drivers with passengers. On album release days specifically, having a passenger reduces crash risk relative to surrounding days, suggesting a second occupant either operates the device or simply reduces the driver's impulse to interact with the phone or infotainment system.
  • CarPlay amplifies rather than reduces risk: Vehicles equipped with Apple CarPlay show a larger album-release fatality effect, not a smaller one. The hands-free interface lowers the friction of accessing music, causing drivers to interact with the system more frequently than they would without it — a compensating behavior pattern consistent with economist Sam Peltzman's model of risk adaptation.
  • Telematics data gap limits traffic safety research: Federal FARS data lags two-plus years and lacks granular driver behavior records. Automakers and platforms like Apple and Google hold real-time telematics — acceleration, braking, app usage at moment of impact — but deny researcher access. Closing this gap would allow direct causal analysis rather than inference chains through natural experiments.

Notable Moment

The researcher who conceived the study nearly caused the accident that inspired it: fumbling through Spotify to find specific songs his wife texted about while driving, he began drifting from his lane. He repeated the same behavior the following day, illustrating how normalized phone use while driving has become.

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Episode Transcript

Hey there. It's Steven Dubner with a quick announcement. We have just published an audiobook called Making Messiah, how Handel got his mojo back and created a masterpiece. The publisher is Simon and Schuster, and the audiobook is adapted from our recent Freakonomics radio series about the history, legacy, and economics of George Frederick Handel's Messiah. You can buy Making Messiah now wherever you get your audiobooks. For more information, go to makingmessiah.com. Over the years, we've made a bunch of Freakonomics Radio episodes about the risk that comes with an activity that billions of us do every day, get in a car. Those risks have fallen over time. But because more people drive more miles than ever, the number of deaths from traffic crashes is very high, more than a million people per year globally. And that's just deaths. There are many more injuries and the financial costs are massive. Traffic deaths are more likely in low income countries. But among high income countries, The US is an outlier with more than forty thousand deaths a year that works out to roughly one death by car crash every thirteen minutes in The US. Why so many? Well, it's complicated. Here's what we heard in an episode we published a few years ago called Why is The US so good at killing pedestrians? The cars we're driving are bigger, hotter, faster. The problem of distraction has gotten much worse. In The United States, we've decided that car movement is really the supreme consideration when it comes to designing our streets. And in another episode we made called why is flying safer than driving, we learned how the aviation industry devoted itself to safety. If you go back thirty or forty years, air crashes were not uncommon. It was something the industry spent an enormous amount of time collaborating together, sharing information, sharing learnings, working closely with the FAA to understand best practices and how we could have an open book with our regulator. And in our last couple episodes, our friends at the Search Engine podcast looked at the contested future of driverless cars. Personally, I believed for a long time that driverless cars will save a lot of lives. But until that's the norm, we, the drivers, are still behind the wheel. And why is that a problem? We've engineered a world where the most distracting device ever made is also the one that we use to listen to music in the car. Today on Freakonomics Radio, talk about a new research paper that looks at traffic deaths on a very specific set of days. Album release days are basically a natural experiments. So what they find? That's coming up. For now, eyes on the road, please. This is Freakonomics Radio, the podcast that explores the hidden side of everything with your host, Stephen Dubner. The study we are talking about today was just published as a working paper by the National Bureau of Economic Research. There are four …

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