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The Viral Storm Streamers Predicting Deadly Tornadoes—Sometimes Faster Than the Government

Storm streamers are using radars and AI robots to predict extreme weather for millions of YouTube subscribers, in some cases faster than the National Weather Service, which has been gutted by DOGE.

At 10:44 pm Eastern time on May 16, Ryan Hall spotted a blue square on his radar indicating debris flying into the air and realized a huge tornado was racing toward Somerset, Kentucky. When Hurricane Milton hit Florida last year, causing a tornado outbreak, Schuster said he heard from a viewer that his livestream prompted their family members to seek shelter. Jana Houser, a storm chaser and meteorology professor at Ohio State University, says the understaffing at the National Weather Service office in Jackson, Kentucky, during deadly tornadoes was “a small glimpse of what’s to come.”

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