#کانال_را_از_اول_دنبال_کنید بنام خدا: 📚🌱 سال ها پیش همه چیز می دانستم،امروز هیچ چیز نمی دانم! کتاب خواندن یک کشف پیش رونده ی مهیج است تا مدام به نادانی ات پی ببری. #ویل_دورانت
#کانال_را_از_اول_دنبال_کنید بنام خدا: 📚🌱 سال ها پیش همه چیز می دانستم،امروز هیچ چیز نمی دانم! کتاب خواندن یک کشف پیش رونده ی مهیج است تا مدام به نادانی ات پی ببری. #ویل_دورانت
He adds: "Telegram has become my primary news source." That hurt tech stocks. For the past few weeks, the 10-year yield has traded between 1.72% and 2%, as traders moved into the bond for safety when Russia headlines were ugly—and out of it when headlines improved. Now, the yield is touching its pandemic-era high. If the yield breaks above that level, that could signal that it’s on a sustainable path higher. Higher long-dated bond yields make future profits less valuable—and many tech companies are valued on the basis of profits forecast for many years in the future. These entities are reportedly operating nine Telegram channels with more than five million subscribers to whom they were making recommendations on selected listed scrips. Such recommendations induced the investors to deal in the said scrips, thereby creating artificial volume and price rise. At its heart, Telegram is little more than a messaging app like WhatsApp or Signal. But it also offers open channels that enable a single user, or a group of users, to communicate with large numbers in a method similar to a Twitter account. This has proven to be both a blessing and a curse for Telegram and its users, since these channels can be used for both good and ill. Right now, as Wired reports, the app is a key way for Ukrainians to receive updates from the government during the invasion. This ability to mix the public and the private, as well as the ability to use bots to engage with users has proved to be problematic. In early 2021, a database selling phone numbers pulled from Facebook was selling numbers for $20 per lookup. Similarly, security researchers found a network of deepfake bots on the platform that were generating images of people submitted by users to create non-consensual imagery, some of which involved children.
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