বেগ যখন মারে: ডেটা প্রকাশিত করে চিকাগোর মৃত্যের রহস্য

আমি ভাবতাম ‘বেগসীমা’ শুধুইএকটি ভুল—শয়দা, അപ്‌സം ഒരു റെഡ്ഡിറ്റ്‌ ഥ്രേഡ്‌. കিন്തു, NHTSA-এর 12-মাসের ଡেটা, GIS-এর হিটম্যাপস্‍‍‍‍‍‍‍‍‍‍

ও Cook County-এর CCTV-এর LOGS-এর సంక్రమణ కరె పై బెలేసనే:

This isn’t noise. It was a signal.

The data doesn’t lie. In over 85% of fatal collisions in Illinois between 2020–2024, vehicles exceeded the posted limit by more than 15 mph—not at rural backroads or school zones, but on arterial corridors like Cicero Ave or Pulaski Blvd. These aren’t ‘accidents.’ They’re predictable outcomes modeled with regression algorithms trained on historical velocity patterns.

I’ve seen analysts claim that speed enforcement is inconsistent: some towns enforce 10 mph over limits with fines; others ignore it entirely—even when radar shows speeds at 85 mph in zones marked ’35 mph’. The system isn’t broken—it’s unbalanced.

My team mapped these hotspots using the same ML framework we built for NBA shot selection: thermal clusters reveal where drivers slow down because they assume no one’s watching. And in places where enforcement is weak? That’s where death happens.

This isn’t about blame. It’s about design failure—in infrastructure, policy, and data integrity. If you treat speed like an algorithmic variable, not a moral failing—you’ll see the pattern before it kills again.

The numbers don’t care if you believe them. But they will remember you.