МИСиС | Наука о данных

МИСиС | Наука о данных

МИСиС | Наука о данных Telegram | DID YOU KNOW?

Right now the digital security needs of Russians and Ukrainians are very different, and they lead to very different caveats about how to mitigate the risks associated with using Telegram. For Ukrainians in Ukraine, whose physical safety is at risk because they are in a war zone, digital security is probably not their highest priority. They may value access to news and communication with their loved ones over making sure that all of their communications are encrypted in such a manner that they are indecipherable to Telegram, its employees, or governments with court orders. Since its launch in 2013, Telegram has grown from a simple messaging app to a broadcast network. Its user base isn’t as vast as WhatsApp’s, and its broadcast platform is a fraction the size of Twitter, but it’s nonetheless showing its use. While Telegram has been embroiled in controversy for much of its life, it has become a vital source of communication during the invasion of Ukraine. But, if all of this is new to you, let us explain, dear friends, what on Earth a Telegram is meant to be, and why you should, or should not, need to care. However, the perpetrators of such frauds are now adopting new methods and technologies to defraud the investors. But Kliuchnikov, the Ukranian now in France, said he will use Signal or WhatsApp for sensitive conversations, but questions around privacy on Telegram do not give him pause when it comes to sharing information about the war. And indeed, volatility has been a hallmark of the market environment so far in 2022, with the S&P 500 still down more than 10% for the year-to-date after first sliding into a correction last month. The CBOE Volatility Index, or VIX, has held at a lofty level of more than 30.
МИСиС | Наука о данных from ua

МИСиС | Наука о данныхКанал с новостями для студентов и абитуриентов программы SkillFactory и МИСиС «Наука о данных»

Помогаем освойть самую востребованную профессию 2022 года, учим понимать ключевые принципы и алгоритмы анализа данных.

Подробнее — http://bit.do/ds-sf

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