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Пожарные ликвидируют возгорание частного дома в Невеле

В Невеле, на улице Есенина, произошло возгорание частного жилого дома.

По предварительным данным, возгорание произошло в ходе проверки газового оборудования владельцем дома.

Пострадавших нет.

На месте работают бригада скорой помощи, пожарные подразделения, сотрудники полиции.

Обстоятельства произошедшего выясняются.

#Невель

@psvodka



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Пожарные ликвидируют возгорание частного дома в Невеле

В Невеле, на улице Есенина, произошло возгорание частного жилого дома.

По предварительным данным, возгорание произошло в ходе проверки газового оборудования владельцем дома.

Пострадавших нет.

На месте работают бригада скорой помощи, пожарные подразделения, сотрудники полиции.

Обстоятельства произошедшего выясняются.

#Невель

@psvodka

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The War on Fakes channel has repeatedly attempted to push conspiracies that footage from Ukraine is somehow being falsified. One post on the channel from February 24 claimed without evidence that a widely viewed photo of a Ukrainian woman injured in an airstrike in the city of Chuhuiv was doctored and that the woman was seen in a different photo days later without injuries. The post, which has over 600,000 views, also baselessly claimed that the woman's blood was actually makeup or grape juice. "We as Ukrainians believe that the truth is on our side, whether it's truth that you're proclaiming about the war and everything else, why would you want to hide it?," he said. "There is a significant risk of insider threat or hacking of Telegram systems that could expose all of these chats to the Russian government," said Eva Galperin with the Electronic Frontier Foundation, which has called for Telegram to improve its privacy practices. Messages are not fully encrypted by default. That means the company could, in theory, access the content of the messages, or be forced to hand over the data at the request of a government. For example, WhatsApp restricted the number of times a user could forward something, and developed automated systems that detect and flag objectionable content.
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