Last week, Biden’s corrupt and weaponized DOJ just issued Trump’s third and most serious criminal indictment. The formal charges of “conspiracy to defraud the United States” do an underwhelmingly half-hearted job of disguising the obvious purpose of the indictment, which is to codify the “disinformation” scam into criminal law generally, and specifically, to criminalize what we might call “election denial”.
Indeed, there’s a reason the indictment begins with the false, absurd and legally irrelevant claim that Trump made “knowingly false claims” about the 2020 election that “created an intense national atmosphere of mistrust and anger” and eroded “public faith in the administration of the election.”
Never mind for a moment that questioning the legitimacy of an election is First Amendment-protected speech. Let’s focus for now on the ridiculous insistence that Trump “knowingly lied” in his statements concerning the election. To say that Trump “knowingly lied” is to not only dispute his objective (and in our view entirely justified) questions concerning the election, it is to state that subjectively, privately in his own mind, Trump actually thought the election was legitimate — that he legitimately lost, but he lied anyway.
How on earth would Biden’s corrupt DOJ presume to know that? The answer is they don’t. To prove that Trump “knowingly lied” the DOJ resorts to one of the darkest and most ridiculous slight-0f-hand tricks imaginable: assuming that Trump must have known better because supposed “experts” told him the election wasn’t stolen. Yes, you read that right. The basis of the DOJ’s allegation that Trump actually believed he lost the election despite his public statements is the fact that other individuals, in many cases individuals in the intelligence community, told him so. If that isn’t absurd enough, take a look at the experts whom the DOJ deems so unimpeachably authoritative that for them simply to tell Trump “oh no the election was fair and square, nothing to see here” is enough to assume Trump believed them:
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