Selfies kill people

Researchers from Carnegie Mellon University in India have found that the number of deaths while taking selfies continues to rise.

Selfies die - some statistics

The researchers took into account only those cases that were associated with taking selfies. Accidents could have been avoided if people refused to take photos. Recall that the first message about the death of a person due to a snapshot appeared in 2014. At the end of the year, 15 people died while taking selfies, and today the number of accidents has increased to 127. For example, in 2015, 39 people died, and in the first half of 2016 - 63 people. The record number of accidents was registered in India - 76, Pakistan ranks three times - 9 people, the United States in third place - 8 people. Scientists have found that 75 percent of those killed were men. In Russia, there were 6 registered accidents related to selfies. One of the most common reasons is a fall from a height. The age of the victims ranges from 21 to 25 years, but in 16 cases people who have not yet turned 18 died.


Why do people die because of selfies? During shooting, the photographer's attention completely switches to the smartphone, and safety fades into the background, the sense of self-preservation in the pursuit of a successful shot is dulled. For tourists, selfies are the most dangerous, because they tend to take pictures in the most dangerous places, without thinking about the danger. One in three deaths due to selfies was due to a fall from a height. Other common causes of fatalities: Traffic accidents, trains, dangerous equipment. And all this happens, not counting the many injuries that people receive. For example, in Colorado, they even had to close a nature park for tourists, since everyone came here to take a selfie with a bear.

How can I avoid dying from selfies?

Now scientists are developing an application that will protect people from rash acts. An algorithm has been developed that detects the danger of a photo during shooting. The system was successfully trained on several thousand photos, and it was created on the basis of selfies from Twitter. The algorithm recognized 75% of possible dangerous situations out of 100%. Not a bad indicator that still needs to be improved. Experts are confident that the developed application will warn a person about the risk during the shooting process.