It turns out that the more people avoid shopping mallsâthose cathedrals of consumption where we once gathered to walk in circles and buy things we didn't needâthe fewer of them die on the roads getting there. This is either a profound statement about the therapeutic properties of retail, or an indictment of our data visualization habits. We have discovered that correlation between two things that should have absolutely nothing to do with each other, which is itself a kind of mall.
What's probably happening here is far more mundane and rather interesting: between 2002 and 2022, America experienced a genuine shift in how people moved around. The rise of e-commerce, the slow strangulation of suburban retail, increased remote work adoptionâthese trends meant fewer people making dedicated shopping trips, which meant fewer car journeys, fewer vehicles on certain routes, and therefore fewer opportunities for the physics of metal and biology to collide at speed. A study from the Insurance Institute found that per-mile fatality rates actually improved during this period, even as total fatalities fluctuated; when you remove millions of purposeless mall-bound drives, you remove a proportional slice of accidents. We traded our Saturdays at the Gap for Amazon Prime, and the roads became statistically safer as a side effect.
What we're really looking at is two separate consequences of the same economic transformationâone visible in parking lot occupancy, one in emergency room admissions. Neither caused the other; they're both symptoms of a massive behavioral reorientation, the kind that takes two decades to fully register. We see patterns because there are patterns, but they're hidden three layers deep. The data doesn't lie about shopping malls. It just doesn't know what it's measuring.
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Want to learn more about why correlations like âShopping mall foot trafficâ vs âPedestrian traffic fatalitiesâ don't prove causation? Read our guide to statistical thinking.