A man ended up on a truly spooky little road after following a Waze recommendation to avoid traffic during a snowstorm.
Félix posted a video to share what happened. At the beginning of the clip, he films the traffic as snow falls, then shows that Waze is active on his car’s digital infotainment screen.
He then films an extremely narrow, dark, snow-covered road. Félix explained that Waze had suggested he take this street as a shortcut, a decision he quickly regretted.
“Almost saw God instead of Santa Claus,” he joked in the caption, which has already received over 2 million views, more than 200,000 likes, and hundreds of comments from users amused by the situation.
“I love Waze, it risks taking the most dangerous road just to save 7 seconds,” said one TikTok user. “Crossing someone’s living room to save 3 minutes is Waze’s specialty,” joked another.
“Once Waze tried to take me through a cornfield,” said a third user. “I use Waze to see if the bus is safe or if I should take the train. It never works perfectly either,” admitted another.
These stories are common among navigation app users, who often prioritize speed above all else, even if it means directing drivers to roads that may be less safe under certain conditions.
Apps like Waze and Google Maps rely on a combination of user reports, aggregated GPS data, historical traffic patterns, and municipal road information to provide accurate navigation.
But Waze, specifically, is designed to find aggressive shortcuts that save time. The company’s own documentation emphasizes its reliance on community information and real-time driver reports to adjust travel times, detect blockages, and recommend detours.
However, when these reports are delayed or when weather conditions change faster than updates arrive, the app can direct drivers onto secondary or rural roads that appear clear but are actually dangerous.
@felix.grbt Almost saw God instead of Santa Clause #snow #stuck #switzerland ♬ original sound – ☀️
Photo and video: TikTok @felix.grbt. This content was created with the help of AI and reviewed by the editorial team.
