Michael Cowen’s friends and official spokesmen have been playing the press for months. Rather than Cowen just telling the Mueller investigation what he knows, he and his allies have been constantly tantalizing the press with all sorts of specifics that they might tell Mueller. For example, Cowen went from saying he knows all about whether Trump knew about his campaign’s Trump Tower meeting with the Russians, but wouldn’t comment on the record and then Cowen allies said that Trump did know and approve of the meeting and now the same people are saying that they don’t know.
Naturally the changing stories led Trump to accuse the “Fake News” media of not knowing what they are talking about and lying when the news media is accurately reporting the changing stories that the Cowen camp is telling.
CNN is being torn apart from within based on their being caught in a major lie and refusing to admit the mistake. Sloppy @carlbernstein, a man who lives in the past and thinks like a degenerate fool, making up story after story, is being laughed at all over the country! Fake News 6:43 PM – Aug 29, 2018
To me the most interesting thing about this tweet is how unlikely it is that Trump actually wrote the above post. It is a Fake Tweet! Where are the trademark spelling mistakes, weird capitalization, and grammatical errors? Trump doesn’t use four-syllable words like “degenerate”. Trump doesn’t construct sentences out of multiple predicate phrases that are correctly delineated by commas. Both of these sentences are complex with multiple predicate phrases and both sentences have a word with more than two syllables. That’s not at all like Trump. A typical Trump tweet is like this with weird capitalization, scare quotes, missing spaces between words and no words with more than two syllables.
Ivanka Trump & Jared Kushner had NOTHING to do with the so called “pushing out” of Don McGahn.The Fake News Media has it, purposely,so wrong! They love to portray chaos in the White House when they know that chaos doesn’t exist-just a “smooth running machine” with changing parts! 7:44 AM – 30 Aug 2018
Everyone knows that Trump doesn’t write all of his own tweets. At least once, Trump subordinate Dan Scavino wrote a tweet on his own account and then seconds later tweeted exactly the same text from Trump’s account and then deleted his original tweet from his own account to make it look like the tweet originated from Trump. At one time, Trump was the only person tweeting from an Android phone, so it was easy to distinguish which tweets came from him and which were written by subordinates by checking the sources. But by comparing tweets that we know Trump wrote with tweets that he did not write, some clear patterns emerge. Trump’s staff tries to use bad grammar and simple vocabulary to sound like him, but some people just can’t bring their language down to Trump’s level and it is often easy to tell when Trump did not write a text.
In fact, some enterprising computer programmer should write a fake spotting algorithm to automatically assess the chances that each Trump tweet is fake or not like FakeSpot.com does to weed out fake Amazon reviews.
UPDATE: It turns out an enterprising programmer already did create a machine-learning system to separate real Trump tweets from the fake ones. According to DidTrumpTweetIt.com, both of the above tweets were probably authentic. So I probably got it wrong here.
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