Автор: Дериб и Жоб Иллюстратор: Дериб и Жоб Перевод: Михаил Хачатуров #ламинария #4г,#5л,#6л,#7л 2023г 📖 Якари - маленький индеец, который может говорить с животными. Он из племени сиу, кочевников Северной Америки.
Автор: Дериб и Жоб Иллюстратор: Дериб и Жоб Перевод: Михаил Хачатуров #ламинария #4г,#5л,#6л,#7л 2023г 📖 Якари - маленький индеец, который может говорить с животными. Он из племени сиу, кочевников Северной Америки.
However, the perpetrators of such frauds are now adopting new methods and technologies to defraud the investors. 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. On Feb. 27, however, he admitted from his Russian-language account that "Telegram channels are increasingly becoming a source of unverified information related to Ukrainian events." Telegram has gained a reputation as the “secure” communications app in the post-Soviet states, but whenever you make choices about your digital security, it’s important to start by asking yourself, “What exactly am I securing? And who am I securing it from?” These questions should inform your decisions about whether you are using the right tool or platform for your digital security needs. Telegram is certainly not the most secure messaging app on the market right now. Its security model requires users to place a great deal of trust in Telegram’s ability to protect user data. For some users, this may be good enough for now. For others, it may be wiser to move to a different platform for certain kinds of high-risk communications. For example, WhatsApp restricted the number of times a user could forward something, and developed automated systems that detect and flag objectionable content.
from vn
