Chris Cox, founder of Bikers for Trump, told Fox and Friends that the group plans to create a “wall of meat” to guard Trump supporters from any protesters during the inauguration.
Cox said he founded the group out of support for Donald Trump, saying he was attracted to Trump’s outsider status and penchant for speaking his mind. The group’s first rally, held in Virginia Beach, Virginia in October of 2015, drew about 100 people. Now, Cox says the group has roughly 200,000 members. The group is apparently still growing as Cox said they added 20,000 members last week.
Cox stressed that his group were not vigilantes and said he had “full confidence” in law-enforcement agencies to provide security and maintain order during the event. However, he did say that his group would protect Trump supporters, if necessary.
‘We’ll be shoulder-to-shoulder with our brothers and toe-to-toe with anyone that is going to break through and police barriers that’s going to be assaulting women, spitting on them, throwing things at them.’
Cox repeatedly said that he fully supports law-enforcement agencies and expects there to be a peaceful transfer of power, but his talk of a “wall of meat” strikes us as a bit odd. He seems to be operating under the impression that it is Trump supporters who are attacked during these events, but that is not the case.
There has been a lot of violence at Trump events and rallies, but the vast majority of that violence has been directed at protesters. Even the president-elect himself admitted that his supporters were violent. Of course, Cox is likely well-aware of that fact since he was at most of Trump’s rallies and even has even spoken to Trump in the past.
His talk of protecting women was especially eye-rolling Trump’s history with women and the fact that Trump has openly bragged about sexual assault. If Cox is concerned for the safety of women then he probably shouldn’t have supported the man who once said it was okay to “grab them by the p**y.”
For more information, you can see the interview below:
Featured image via screengrab via video