Facial recognition confirms Antifa infiltrated Trump protesters who stormed US Capitol

Rep. Gaetz cites reports that a retired military officer matched Philadelphia Antifa members to two "protestors" inside the Senate using XRVision software.

Congressman Matt Gaetz (R-Fl.) defended President Donald Trump's calls for protestors in Washington, D.C. to be peaceful Wednesday night.

Rep. Gaetz pointed out that President Trump's calls for peace were more explicit than Democrats' calls for peace when Black Lives Matter rioted across America throughout the summer of 2020.

"[President Trump] was far more explicit about his calls for peace than some of the BLM and left-wing rioters were this summer when we saw violence sweep across this nation," he said as his colleagues clapped in agreement, said Gaetz.

"I'm sure glad that at least for one day, I didn't hear my Democrat colleagues calling to defund the police!" he added.

But Rep. Gaetz also asserted that the violence perpetrated today at the US Capital might have been carried out by Antifa, not Trump supporters.

The Washington Times reports:

Trump supporters say that Antifa members disguised as one of them infiltrated the protesters who stormed the U.S. Capitol on Wednesday.

A retired military officer told The Washington Times that the firm XRVision used its software to do facial recognition of protesters and matched two Philadelphia antifa members to two men inside the Senate.

The source provided the photo match to The Times.

One has a tattoo that indicates he is a Stalinist sympathizer. antifa promotes anarchy through violence and wants the end of America in favor of a Stalinist-state. “No more USA at all” is a protest chant.

XRVision also has identified another man who, while not known to have antifa links, is someone who shows up at climate and Black Lives Matter protests in the West.

Born in Portland, Ore., antifa has mounted a year of violence in that city. The mayor said this week that antifa is trying to destroy the town and called for tougher police measures.

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