1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of the Clay Travis and Buck 2 00:00:03,360 --> 00:00:08,319 Speaker 1: Sexton Show podcast. Welcome back again now or number two 3 00:00:08,360 --> 00:00:11,560 Speaker 1: Clay Travis buck Sexton Monday edition of the program. As always, 4 00:00:11,560 --> 00:00:15,240 Speaker 1: want to encourage all of you go subscribe to the podcast. 5 00:00:15,280 --> 00:00:17,120 Speaker 1: You can search out Clay Travis, you can search out 6 00:00:17,120 --> 00:00:20,280 Speaker 1: buck Sexton. If you haven't already, maybe you got friends 7 00:00:20,280 --> 00:00:22,759 Speaker 1: who don't listen on traditional radio. We love all of 8 00:00:22,800 --> 00:00:25,640 Speaker 1: you listening live right now. Also, try to wave and 9 00:00:25,680 --> 00:00:27,920 Speaker 1: get a shout out to all of those of you 10 00:00:27,960 --> 00:00:31,360 Speaker 1: who are watching us right now on YouTube in this clip. 11 00:00:31,440 --> 00:00:35,040 Speaker 1: We appreciate all of you. It's free to subscribe anywhere 12 00:00:35,080 --> 00:00:39,360 Speaker 1: you want Spotify, iTunes, YouTube, Clay Travis, buck Sexton. You 13 00:00:39,360 --> 00:00:41,800 Speaker 1: will find us boom. You will get as much of 14 00:00:41,840 --> 00:00:44,040 Speaker 1: the show as you can possibly want. Plus, if you're 15 00:00:44,080 --> 00:00:46,919 Speaker 1: curious about a video version of the show, there are 16 00:00:46,920 --> 00:00:50,040 Speaker 1: clips going up, like we said, every single day on YouTube. 17 00:00:50,080 --> 00:00:53,240 Speaker 1: So a lot of different stories we have already talked about. 18 00:00:53,320 --> 00:00:56,680 Speaker 1: I thought this one was fascinating because I bet the 19 00:00:56,800 --> 00:01:02,360 Speaker 1: vast majority of you have not heard anything about this story. 20 00:01:03,160 --> 00:01:07,560 Speaker 1: Let me give you some details. Greenwood Park Mall is 21 00:01:07,680 --> 00:01:10,240 Speaker 1: outside of Indianapolis. I know we got a lot of 22 00:01:10,280 --> 00:01:13,040 Speaker 1: listeners in the Indianapolis area. We appreciate all of you. 23 00:01:13,680 --> 00:01:16,959 Speaker 1: A twenty two year old Indiana man being called a hero. 24 00:01:17,160 --> 00:01:19,840 Speaker 1: I'm reading directly from OutKick because you're probably not seeing 25 00:01:19,840 --> 00:01:23,840 Speaker 1: this story very many places. A gunman opened fire in 26 00:01:23,880 --> 00:01:28,559 Speaker 1: the mall's food court, killed three people, one woman, two 27 00:01:28,560 --> 00:01:33,319 Speaker 1: men injured. Two others would have continued to fire, had 28 00:01:33,480 --> 00:01:37,800 Speaker 1: a ton of ammunition with him until a good samaritan 29 00:01:37,959 --> 00:01:44,240 Speaker 1: pulled out his own concealed weapon and killed this mass shooter. Yes, 30 00:01:44,560 --> 00:01:47,680 Speaker 1: a good guy with a gun killed a bad guy 31 00:01:47,760 --> 00:01:49,480 Speaker 1: with a gun. I'm going to read a couple of 32 00:01:49,600 --> 00:01:53,520 Speaker 1: quotes here. The real hero of the day is the 33 00:01:53,640 --> 00:01:57,760 Speaker 1: citizen that was lawfully carrying a firearm in that food 34 00:01:57,800 --> 00:02:01,240 Speaker 1: court and was able to stop the shooter almost as 35 00:02:01,240 --> 00:02:05,120 Speaker 1: soon as he began that as Greenwood Police Chief Jim Eison. 36 00:02:06,120 --> 00:02:11,240 Speaker 1: Greenwood Mayor Mark Myers joined the police chief, also commending 37 00:02:11,240 --> 00:02:13,440 Speaker 1: the actions of the good guy with a gun. We 38 00:02:13,600 --> 00:02:16,760 Speaker 1: do know that someone we are calling a good samaritan 39 00:02:17,320 --> 00:02:21,280 Speaker 1: was able to shoot the assailant and stop further bloodshed. 40 00:02:21,840 --> 00:02:26,600 Speaker 1: This person saved lives tonight, the mayor said, I am 41 00:02:26,720 --> 00:02:32,360 Speaker 1: grateful for his quick action and heroism. So if you 42 00:02:32,440 --> 00:02:34,080 Speaker 1: out there are listening right now, and he's so, wait, 43 00:02:34,080 --> 00:02:37,040 Speaker 1: I didn't know there was a mass shooting in Greenwood, Indiana. 44 00:02:37,120 --> 00:02:40,560 Speaker 1: I didn't have any clue that this mall shooter existed 45 00:02:40,919 --> 00:02:43,240 Speaker 1: and that he was stopped by a good guy with 46 00:02:43,320 --> 00:02:46,120 Speaker 1: a gun. I would submit to you, Buck, and you 47 00:02:46,120 --> 00:02:48,480 Speaker 1: were partly in this camp, right. We were talking off 48 00:02:48,520 --> 00:02:50,680 Speaker 1: air before the show and you were saying, wait, this happened. 49 00:02:51,080 --> 00:02:54,320 Speaker 1: It's the story almost completely vanished as soon as they 50 00:02:54,360 --> 00:02:56,400 Speaker 1: found out a good guy with a gun ended it. Right. 51 00:02:56,480 --> 00:02:59,239 Speaker 1: Isn't this a moment where the media could tell a 52 00:02:59,440 --> 00:03:04,520 Speaker 1: story to elevate a brave citizen, an armed citizen. I 53 00:03:04,560 --> 00:03:07,280 Speaker 1: know there are people who who were hit in this attack, 54 00:03:07,360 --> 00:03:09,959 Speaker 1: and that's that's a tragedy, but it would have been 55 00:03:10,480 --> 00:03:13,480 Speaker 1: far worse, Yes, if a good guy with the gun 56 00:03:13,639 --> 00:03:17,720 Speaker 1: had not stepped up here and ended the threat. And 57 00:03:17,760 --> 00:03:19,680 Speaker 1: there are other there are other instances like this, and 58 00:03:19,720 --> 00:03:22,800 Speaker 1: some of them even captured on video. I'm sure our audience, 59 00:03:22,800 --> 00:03:26,400 Speaker 1: our audience will remember back in twenty nineteen, December twenty nineteen, 60 00:03:27,040 --> 00:03:31,320 Speaker 1: there was a packed church of over two hundred, two 61 00:03:31,440 --> 00:03:34,960 Speaker 1: hundred people who had gathered down in Tech down in 62 00:03:35,040 --> 00:03:39,840 Speaker 1: Texas and got a shooter came into the church, crazy 63 00:03:39,840 --> 00:03:41,360 Speaker 1: person going to shoot as many people in the church 64 00:03:41,400 --> 00:03:43,760 Speaker 1: as possible. And a fellow named Jack Wilson who was 65 00:03:43,760 --> 00:03:46,880 Speaker 1: a volunteer member of the church as security team, who 66 00:03:47,080 --> 00:03:50,960 Speaker 1: was also a concealed carry instructor, and just a long 67 00:03:51,080 --> 00:03:53,440 Speaker 1: term he's a gun guy. You know, there are gun guys. 68 00:03:53,480 --> 00:03:56,880 Speaker 1: There are guys who are en gals who have devoted 69 00:03:56,920 --> 00:03:59,040 Speaker 1: a lot of their lives to understanding and using firearms. 70 00:03:59,480 --> 00:04:02,600 Speaker 1: He pulled, he drew and pulled one shot off and 71 00:04:02,720 --> 00:04:04,760 Speaker 1: hit the guy in the head and ended the threat 72 00:04:04,800 --> 00:04:08,320 Speaker 1: right away. Saved dozens of lives in that instance. Now, 73 00:04:08,320 --> 00:04:11,920 Speaker 1: this is fascinating from the perspective of policy because we 74 00:04:12,080 --> 00:04:15,000 Speaker 1: just went through with the Democrats. We need to expand 75 00:04:15,040 --> 00:04:17,599 Speaker 1: background checks, we need to we need to do the 76 00:04:17,920 --> 00:04:20,240 Speaker 1: end the gun show loophole for private sales. And they 77 00:04:20,240 --> 00:04:24,400 Speaker 1: talk about all this and their theory is always, eventually, 78 00:04:24,800 --> 00:04:28,360 Speaker 1: if it saves just one life or that's that's behind 79 00:04:28,400 --> 00:04:31,360 Speaker 1: all of this. Good guys and can we just say 80 00:04:31,480 --> 00:04:36,119 Speaker 1: good guy slash gal right, good person with gun has 81 00:04:36,320 --> 00:04:41,320 Speaker 1: clearly been demonstrated in many, many mass shootings over the 82 00:04:41,400 --> 00:04:45,960 Speaker 1: years to have saved perhaps dozens, maybe hundreds of lives 83 00:04:46,200 --> 00:04:48,320 Speaker 1: when you add it. And those are the ones where 84 00:04:48,360 --> 00:04:51,560 Speaker 1: there is actually an exchange of gunfire. Sometimes a good 85 00:04:51,600 --> 00:04:55,240 Speaker 1: guy with a gun only has to draw and hold 86 00:04:55,320 --> 00:04:58,719 Speaker 1: the person there until law enforcement arrives. There are other 87 00:04:58,760 --> 00:05:01,520 Speaker 1: instances where there hasn't been and you know they've essentially 88 00:05:01,520 --> 00:05:03,440 Speaker 1: averted a mass shooting or what could have been a 89 00:05:03,440 --> 00:05:07,240 Speaker 1: mass shooting before it even occurred. But this clearly has 90 00:05:07,320 --> 00:05:11,719 Speaker 1: saved lives. Why is it that the expansion of funding 91 00:05:11,760 --> 00:05:15,080 Speaker 1: for red flag laws which have never been proven to 92 00:05:15,120 --> 00:05:17,600 Speaker 1: save a life or something, that the Democrats get so 93 00:05:17,680 --> 00:05:23,599 Speaker 1: excited about, and yet this law abiding gun owner saving 94 00:05:23,640 --> 00:05:25,560 Speaker 1: lives here they bury it, Clay. But to your point, 95 00:05:25,560 --> 00:05:28,520 Speaker 1: I was doing my reading today. I didn't even see 96 00:05:28,560 --> 00:05:31,279 Speaker 1: this story because it was not something yet any mass 97 00:05:31,320 --> 00:05:33,720 Speaker 1: shooting in a mall that should be a headline majors 98 00:05:33,800 --> 00:05:37,080 Speaker 1: a major story. Oh, it doesn't fit the narrative. And 99 00:05:37,200 --> 00:05:39,839 Speaker 1: ultimately they tell you they want to save more people. 100 00:05:40,279 --> 00:05:42,880 Speaker 1: And the left and Libs say that their opposition of 101 00:05:42,920 --> 00:05:46,000 Speaker 1: firems is about saving lives, but it's actually ideological. They 102 00:05:46,000 --> 00:05:48,359 Speaker 1: don't want you to have guns. It's really not about 103 00:05:48,400 --> 00:05:50,520 Speaker 1: stopping the next mass shooting because they don't even look 104 00:05:50,560 --> 00:05:53,280 Speaker 1: at what stops mass shootings. I had to tell our 105 00:05:53,320 --> 00:05:56,279 Speaker 1: crew at OutKick, and I still manage a lot of 106 00:05:56,279 --> 00:05:58,720 Speaker 1: the editorial decisions that are made at OutKick on a 107 00:05:58,800 --> 00:06:01,400 Speaker 1: daily basis. Hey, let's get on this. Most of the 108 00:06:01,400 --> 00:06:04,560 Speaker 1: people at OutKick didn't know about this story. And if 109 00:06:04,560 --> 00:06:06,599 Speaker 1: you just think about so people can say, well, the 110 00:06:06,680 --> 00:06:08,960 Speaker 1: good guy with a gun. Usually there's not a good 111 00:06:08,960 --> 00:06:11,679 Speaker 1: guy with a gun. Okay, Usually there aren't mass shootings. Okay, 112 00:06:11,680 --> 00:06:14,400 Speaker 1: So covering a mass shooting in the first place. As Buck, 113 00:06:14,440 --> 00:06:17,880 Speaker 1: we have talked about, only about one percent of the 114 00:06:17,960 --> 00:06:20,120 Speaker 1: murders that take place in this nation on a day 115 00:06:20,160 --> 00:06:23,400 Speaker 1: to day basis are from mass shootings. And then that's including, 116 00:06:23,400 --> 00:06:25,159 Speaker 1: by the way, just three or more people under the 117 00:06:25,240 --> 00:06:28,200 Speaker 1: FBI data, If it's four or more people in a 118 00:06:28,240 --> 00:06:32,640 Speaker 1: situation that involves wanton or random violence, it's even less 119 00:06:32,640 --> 00:06:35,520 Speaker 1: than one percent. I flagged this. Tom Bevan at Real 120 00:06:35,560 --> 00:06:38,560 Speaker 1: Clear Politics put it out and it's certainly true. On 121 00:06:38,680 --> 00:06:42,000 Speaker 1: July fourth, seven people killed in horrific mass shooting in 122 00:06:42,080 --> 00:06:45,440 Speaker 1: Highland Park outside of Chicago. It was national news for days. 123 00:06:46,240 --> 00:06:51,800 Speaker 1: This past weekend, seven more people killed eighteen wounded in Chicago. 124 00:06:52,279 --> 00:06:56,560 Speaker 1: It won't even get a wire story in most national 125 00:06:56,640 --> 00:07:01,520 Speaker 1: newspapers because murders in Chicago are so common. The only 126 00:07:01,560 --> 00:07:03,960 Speaker 1: time they get covered is when it is a mass shooting. 127 00:07:04,160 --> 00:07:06,200 Speaker 1: The reason why I bring that up is mass shootings 128 00:07:06,240 --> 00:07:11,120 Speaker 1: are outlier events. So even if a good guy with 129 00:07:11,160 --> 00:07:14,680 Speaker 1: a gun is an outlier event, still a pretty big story. 130 00:07:14,760 --> 00:07:17,920 Speaker 1: For a twenty two year old to stop what might 131 00:07:17,960 --> 00:07:21,840 Speaker 1: have been otherwise ten fifteen, twenty people from getting shot 132 00:07:22,200 --> 00:07:24,920 Speaker 1: and or murdered inside of them all seems like kind 133 00:07:24,920 --> 00:07:27,240 Speaker 1: of a heroic thing. Maybe we should be praising this 134 00:07:27,280 --> 00:07:30,880 Speaker 1: guy telling his story. And lawful concealed carry owners, the 135 00:07:30,960 --> 00:07:33,880 Speaker 1: data on this is very clear, are not only more 136 00:07:34,040 --> 00:07:39,000 Speaker 1: law abiding than the general public, lawful concealed carry holders 137 00:07:39,320 --> 00:07:43,680 Speaker 1: are more law abiding than law enforcement per capita. So 138 00:07:43,960 --> 00:07:46,720 Speaker 1: this notion of oh, we give more people law we 139 00:07:46,760 --> 00:07:49,200 Speaker 1: give more law abiding citizens the right to conceal carry, 140 00:07:49,240 --> 00:07:52,040 Speaker 1: it's gonna be like the Wild West. No, it just 141 00:07:52,160 --> 00:07:54,680 Speaker 1: means that people can enjoy their Second Amendment rights, do 142 00:07:54,760 --> 00:07:58,720 Speaker 1: so responsibly, and there will be times like this where 143 00:07:58,880 --> 00:08:00,800 Speaker 1: they stop what would have been This would have been 144 00:08:00,840 --> 00:08:03,760 Speaker 1: a horrific mass shooting. And also Clay comes when we're 145 00:08:03,760 --> 00:08:07,920 Speaker 1: finding out even more the Uvalday thing. The people that 146 00:08:08,040 --> 00:08:11,440 Speaker 1: say you should only train law enforcement should ever be 147 00:08:11,480 --> 00:08:14,480 Speaker 1: able to show up both look just like every profession, 148 00:08:14,600 --> 00:08:16,600 Speaker 1: right there are good doctors and bad doctors. I keep 149 00:08:16,600 --> 00:08:19,240 Speaker 1: telling people going to the doctor not enough. You've got 150 00:08:19,240 --> 00:08:20,800 Speaker 1: to find a good doctor because there are plenty of 151 00:08:20,840 --> 00:08:23,640 Speaker 1: bad doctors who don't care. There's good law enforcement, and 152 00:08:23,720 --> 00:08:25,840 Speaker 1: fortunately for us in this country, a vast majority of 153 00:08:25,840 --> 00:08:28,240 Speaker 1: our law enforcement are very good people. But there's also 154 00:08:28,320 --> 00:08:31,000 Speaker 1: cops who mess up or cops who are bad guys 155 00:08:31,120 --> 00:08:35,440 Speaker 1: that that also happens. You shouldn't be reliant entirely on 156 00:08:35,559 --> 00:08:39,679 Speaker 1: law enforcement, and I can't help but notice that at 157 00:08:39,679 --> 00:08:42,400 Speaker 1: the same time that they're trying to disarm citizens, we're 158 00:08:42,440 --> 00:08:47,000 Speaker 1: finding out as after this mass shooting in Uvalday, this 159 00:08:47,280 --> 00:08:49,600 Speaker 1: was this was horrific. I mean, they sat there for 160 00:08:49,679 --> 00:08:51,439 Speaker 1: over an hour. There's all this video of them in 161 00:08:51,480 --> 00:08:54,560 Speaker 1: the hallway. They didn't do a damn thing. Here's Texas 162 00:08:54,640 --> 00:09:00,640 Speaker 1: State Representative Dustin Burroughs saying that they just should have 163 00:09:00,679 --> 00:09:03,480 Speaker 1: done more the training and standards we set for officers, 164 00:09:03,480 --> 00:09:07,120 Speaker 1: as if you know there's active shooting, active killing going on, 165 00:09:07,280 --> 00:09:11,120 Speaker 1: or somebody is dying. The standard is you have to 166 00:09:11,120 --> 00:09:13,960 Speaker 1: continue to do something to stop that killing or stop 167 00:09:14,000 --> 00:09:19,880 Speaker 1: that dying. That day, several officers in the hallway or 168 00:09:19,920 --> 00:09:23,520 Speaker 1: in that building knew or should have known, there was 169 00:09:23,600 --> 00:09:26,720 Speaker 1: dying in that classroom, and they should have done more 170 00:09:27,040 --> 00:09:30,080 Speaker 1: active with urgency. Try the door handles, try to go 171 00:09:30,120 --> 00:09:32,600 Speaker 1: in through the windows, try to distract him, try to 172 00:09:32,640 --> 00:09:36,680 Speaker 1: do something to address the situation. Clay, there were hundreds 173 00:09:36,679 --> 00:09:39,559 Speaker 1: of officers on the scene, yep. It seemed they were 174 00:09:39,559 --> 00:09:43,480 Speaker 1: more focused on creating a cordon to prevent people, including 175 00:09:43,520 --> 00:09:46,120 Speaker 1: a cop who was like, I'm going in, I'm going in, 176 00:09:46,679 --> 00:09:50,520 Speaker 1: my wife is in there. They tackled him and disarmed 177 00:09:50,600 --> 00:09:53,760 Speaker 1: him so they could sit in the hallway and do nothing. 178 00:09:54,040 --> 00:09:59,880 Speaker 1: They had ballistic shields, long guns, bullet resistant vests, you know, kevlar. 179 00:10:00,360 --> 00:10:04,160 Speaker 1: They did nothing, nothing, got eight or nine calls at 180 00:10:04,240 --> 00:10:07,000 Speaker 1: least to nine one one from inside of the classroom, 181 00:10:07,520 --> 00:10:09,960 Speaker 1: and we talked about it. This is one that we nailed, 182 00:10:10,000 --> 00:10:13,079 Speaker 1: our callers nailed. We opened up phone lines to allow 183 00:10:13,160 --> 00:10:17,800 Speaker 1: all of you to weigh in, and ultimately before they 184 00:10:17,840 --> 00:10:22,959 Speaker 1: went in. Buck three hundred and seventy six police officers 185 00:10:23,040 --> 00:10:27,040 Speaker 1: were president at that school, standing outside of a classroom 186 00:10:27,360 --> 00:10:32,240 Speaker 1: while kids and teachers were being held hostage by a madman. 187 00:10:32,720 --> 00:10:35,600 Speaker 1: They never checked. If you go watch this video, which 188 00:10:35,720 --> 00:10:38,600 Speaker 1: was released from inside of the school, you can see 189 00:10:38,600 --> 00:10:41,640 Speaker 1: the school shooter come in. The door was unlocked, which 190 00:10:41,679 --> 00:10:44,480 Speaker 1: is something that still has not been explained. Well, got 191 00:10:44,559 --> 00:10:46,840 Speaker 1: kid walks right in. Kid twenty two year old, whatever 192 00:10:46,880 --> 00:10:49,840 Speaker 1: he was, walks right down the hallway. Within two or 193 00:10:50,000 --> 00:10:53,439 Speaker 1: three minutes, police come rushing in after him. They go 194 00:10:53,840 --> 00:10:58,000 Speaker 1: somewhat close to the classroom, He fires a couple of shots, 195 00:10:58,000 --> 00:11:01,800 Speaker 1: they run back. Nobody then approaches the door. For over 196 00:11:01,880 --> 00:11:05,360 Speaker 1: an hour and twenty minutes, there are police bunched in 197 00:11:05,840 --> 00:11:09,360 Speaker 1: gobs of them in the hallway. Nobody goes in. So 198 00:11:09,679 --> 00:11:11,640 Speaker 1: the point on this that ties in with the shooting 199 00:11:11,760 --> 00:11:18,000 Speaker 1: in the mall is sometimes police make poor decisions. And 200 00:11:18,440 --> 00:11:20,719 Speaker 1: one of the big issues there buck appears to be 201 00:11:21,160 --> 00:11:23,960 Speaker 1: no one ever took control of the scene, and as 202 00:11:24,000 --> 00:11:27,720 Speaker 1: all of these police kept arriving, the command and authority 203 00:11:27,800 --> 00:11:31,400 Speaker 1: was messed up. But the first flaw. The essence of 204 00:11:31,400 --> 00:11:33,679 Speaker 1: this flaw, and I know every single police officer who 205 00:11:33,679 --> 00:11:36,600 Speaker 1: watched those videos felt sick to their stomach. The number 206 00:11:36,640 --> 00:11:39,920 Speaker 1: one rule in mass shooting since Columbine has been when 207 00:11:39,920 --> 00:11:42,600 Speaker 1: you are the first officer on the scene, you go 208 00:11:42,679 --> 00:11:45,679 Speaker 1: after the shooter until you can't go anymore. And if 209 00:11:45,720 --> 00:11:48,640 Speaker 1: that shooter shoots you, the next man follows you in, 210 00:11:49,080 --> 00:11:52,080 Speaker 1: next man in after that. And part of that is 211 00:11:52,480 --> 00:11:55,560 Speaker 1: you take the focus away from the innocent kids and 212 00:11:55,679 --> 00:11:58,280 Speaker 1: the teachers. If you are a police officer and you 213 00:11:58,320 --> 00:12:01,040 Speaker 1: didn't go in there, Frank, you don't deserve to be 214 00:12:01,080 --> 00:12:04,000 Speaker 1: a police officer, because that's the number one reason most 215 00:12:04,080 --> 00:12:06,960 Speaker 1: of them become police officers is to protect the innocent. 216 00:12:07,000 --> 00:12:13,520 Speaker 1: If children being murdered by an armed psychopath right within 217 00:12:14,520 --> 00:12:17,360 Speaker 1: right within your hearing, right within a few yards of 218 00:12:17,400 --> 00:12:21,000 Speaker 1: where you're standing, does not make you want to come 219 00:12:21,080 --> 00:12:23,520 Speaker 1: up with a plan on the spot to immediately engage 220 00:12:23,559 --> 00:12:25,360 Speaker 1: the threat in a gun battle. And yes, that means 221 00:12:25,400 --> 00:12:28,160 Speaker 1: taking fire. That means you might actually die in the 222 00:12:28,200 --> 00:12:30,240 Speaker 1: line of your job. I've worked in a job where 223 00:12:30,240 --> 00:12:32,080 Speaker 1: people die in the line of the job. It happens. 224 00:12:32,120 --> 00:12:34,440 Speaker 1: We got stars on the wall because of it. If 225 00:12:34,480 --> 00:12:37,440 Speaker 1: you're not willing to do that, you should not be 226 00:12:37,520 --> 00:12:42,640 Speaker 1: carrying a badge and a gun, Amen, my friends. Inflation 227 00:12:42,840 --> 00:12:46,520 Speaker 1: is substantially outpacing wage growth. Few people are seeing raises 228 00:12:46,559 --> 00:12:48,520 Speaker 1: of nine percent or greater this year, but that's the 229 00:12:48,559 --> 00:12:51,840 Speaker 1: inflation increase. We're all contending with. What more can you 230 00:12:51,880 --> 00:12:54,400 Speaker 1: do to come out ahead with your household budget? How 231 00:12:54,440 --> 00:12:57,040 Speaker 1: about calling our friends at American Financing for a free 232 00:12:57,040 --> 00:13:00,000 Speaker 1: mortgage review. They can help you confirm the increased value 233 00:13:00,040 --> 00:13:03,040 Speaker 1: of your home, likely up twenty percent over the last year. 234 00:13:03,440 --> 00:13:05,800 Speaker 1: With the increased equity in your home, you're able to 235 00:13:05,840 --> 00:13:09,600 Speaker 1: access cash from that investment at competitive rates. I've relied 236 00:13:09,600 --> 00:13:12,480 Speaker 1: on American Financing for mortgage assistance and they've come through 237 00:13:12,520 --> 00:13:16,200 Speaker 1: with great deals and on point professionalism. So start with 238 00:13:16,280 --> 00:13:19,120 Speaker 1: a call to them today. In as little as ten minutes, 239 00:13:19,160 --> 00:13:21,520 Speaker 1: you can learn about custom loan options that can help 240 00:13:21,520 --> 00:13:26,120 Speaker 1: you achieve financial stability. You just have to call American Financing. 241 00:13:26,480 --> 00:13:29,800 Speaker 1: Call American Financing at eight hundred seven seven seven eighty 242 00:13:29,800 --> 00:13:33,400 Speaker 1: one oh nine. That's eight hundred seven seven seven eighty 243 00:13:33,440 --> 00:13:37,439 Speaker 1: one oh nine, or visit American Financing dot net, NMS 244 00:13:37,520 --> 00:13:40,960 Speaker 1: one eight two three three four NMLS, consumer access dot org. 245 00:13:43,080 --> 00:13:46,440 Speaker 1: Welcome in everybody, our friends and fellow patriots to the 246 00:13:46,559 --> 00:13:50,920 Speaker 1: Clay Travis and Buck Sexton Show. It's a Monday and 247 00:13:51,000 --> 00:13:54,760 Speaker 1: that means there's so much to talk about to set 248 00:13:54,880 --> 00:14:00,800 Speaker 1: up to dive into together. We have the continue fallout 249 00:14:00,880 --> 00:14:04,439 Speaker 1: over fist bump gates. I guess we could call it 250 00:14:04,559 --> 00:14:07,560 Speaker 1: that with Joe Biden seeming to be a little too 251 00:14:07,640 --> 00:14:10,760 Speaker 1: cozy with dictators after saying he'd make Saudi Arabia a 252 00:14:10,920 --> 00:14:14,760 Speaker 1: pariah state. We'll have some analysis on that for you 253 00:14:14,840 --> 00:14:16,520 Speaker 1: coming up in a bit of Washington Post over the 254 00:14:16,559 --> 00:14:20,240 Speaker 1: weekend saying gotta cut one of their editorialists, gotta cut 255 00:14:20,600 --> 00:14:23,600 Speaker 1: Biden some slack on you know. I mean, it wasn't 256 00:14:23,600 --> 00:14:25,680 Speaker 1: a high five, it was a fist bump. Don't worry 257 00:14:25,680 --> 00:14:29,360 Speaker 1: about that. We also have Leah Thomas, so we've talked 258 00:14:29,360 --> 00:14:34,480 Speaker 1: about here pretty pretty extensively on the show. The NC Double, 259 00:14:34,520 --> 00:14:39,600 Speaker 1: a women's freestyle champion who is a biological male, getting 260 00:14:39,640 --> 00:14:44,720 Speaker 1: the U penn University of Pennsylvania Ivy League School Woman 261 00:14:44,840 --> 00:14:50,080 Speaker 1: of the Year award. Because it's never about tolerance and acceptance, 262 00:14:50,120 --> 00:14:54,000 Speaker 1: it is about forced celebration. We'll discuss that more on 263 00:14:54,080 --> 00:15:00,320 Speaker 1: the economy and inflation, because Joe Mansion said saying that 264 00:15:00,320 --> 00:15:02,280 Speaker 1: this is just not going to happen for Biden, so 265 00:15:02,320 --> 00:15:04,800 Speaker 1: the clock is running out. Are they're gonna slip something 266 00:15:05,000 --> 00:15:08,520 Speaker 1: through at the last minute. Oh a BLM. I really 267 00:15:08,560 --> 00:15:10,160 Speaker 1: was serious. We got a ton of stories today. A 268 00:15:10,320 --> 00:15:15,640 Speaker 1: b l M protest in Minneapolis where BLM two point 269 00:15:15,800 --> 00:15:21,040 Speaker 1: er got going that is confronted by a victim of 270 00:15:21,120 --> 00:15:27,720 Speaker 1: the supposed BLM martyr in this case, so we will 271 00:15:27,760 --> 00:15:31,040 Speaker 1: discuss that as well in a moment. But something that 272 00:15:31,160 --> 00:15:35,280 Speaker 1: I can't I just can't shake. I can't let this go. 273 00:15:35,520 --> 00:15:38,520 Speaker 1: Oh wait, well there's many other stories too. I'll leave 274 00:15:38,560 --> 00:15:42,840 Speaker 1: it at that one, but you have see class what happens. 275 00:15:42,840 --> 00:15:45,520 Speaker 1: I'm like, wait, but there's more. There's more. Mondays, there 276 00:15:45,640 --> 00:15:48,600 Speaker 1: usually are a lot of stories that stack up Monday. 277 00:15:48,640 --> 00:15:50,640 Speaker 1: You know, you get you get the Saturday benefit, the 278 00:15:50,680 --> 00:15:54,520 Speaker 1: Sunday benefit, plus Friday evening when oftentimes there's still news 279 00:15:54,600 --> 00:15:56,640 Speaker 1: dumps where people try to put something out to get 280 00:15:56,720 --> 00:16:00,720 Speaker 1: less attention than it otherwise would. So we are really overloaded. 281 00:16:00,720 --> 00:16:04,240 Speaker 1: Should also mention Senator Ronson's gonna be with us from Wisconsin. 282 00:16:04,960 --> 00:16:08,080 Speaker 1: We kind of hinted at this, but they wouldn't. Even 283 00:16:08,160 --> 00:16:10,200 Speaker 1: All of the people who are attempting to run against 284 00:16:10,320 --> 00:16:14,320 Speaker 1: him in Wisconsin were asked whether men could get pregnant 285 00:16:14,640 --> 00:16:18,520 Speaker 1: and no, Democrat running for the Senate in Wisconsin would 286 00:16:18,560 --> 00:16:22,520 Speaker 1: say men cannot get pregnant. He'll talk about the border too. 287 00:16:22,560 --> 00:16:24,760 Speaker 1: Plus Stephen Miller is going to be with us, and 288 00:16:24,800 --> 00:16:27,080 Speaker 1: the border just continues to be a sieve. So we 289 00:16:27,120 --> 00:16:28,440 Speaker 1: got a bunch of stuff to get too with those 290 00:16:28,440 --> 00:16:32,280 Speaker 1: guys as well. And this is what I was seeing 291 00:16:32,320 --> 00:16:38,160 Speaker 1: over the weekends. And there are very few things because 292 00:16:38,200 --> 00:16:40,640 Speaker 1: I understand, I think that that the Libs in general 293 00:16:40,680 --> 00:16:43,120 Speaker 1: are a little crazy. I think there's something a little 294 00:16:43,120 --> 00:16:46,320 Speaker 1: off about them, emotional instability, a lack of reason, a 295 00:16:46,400 --> 00:16:50,480 Speaker 1: lack of accountability for their ideas and beliefs and how 296 00:16:50,480 --> 00:16:53,120 Speaker 1: they actually play out in the real world. But the 297 00:16:53,200 --> 00:16:57,560 Speaker 1: devotion to mask mandates still that you see popping up here, 298 00:16:57,560 --> 00:17:00,480 Speaker 1: and there is something clay that I do start to 299 00:17:00,640 --> 00:17:02,960 Speaker 1: I do start to lose my cool little bit with 300 00:17:03,000 --> 00:17:06,040 Speaker 1: these people because we all know that it's never it's 301 00:17:06,400 --> 00:17:08,879 Speaker 1: just like so many other things. They're so passive aggressive. 302 00:17:09,040 --> 00:17:11,480 Speaker 1: Why can't I just wear a mask now? Because we 303 00:17:11,640 --> 00:17:14,679 Speaker 1: know as more cases happen, you're gonna say, Okay, that's it. 304 00:17:14,760 --> 00:17:18,280 Speaker 1: Everybody has to do it. The White House Coronavirus Response 305 00:17:18,359 --> 00:17:23,280 Speaker 1: coordinator over the weekend, doctor ashish ja here he is 306 00:17:25,200 --> 00:17:27,919 Speaker 1: telling everybody's thin It's really important to remind people of 307 00:17:27,960 --> 00:17:30,000 Speaker 1: the science, the public health science, and the public health 308 00:17:30,040 --> 00:17:33,199 Speaker 1: science is very clear. If you're in a crowded indoor space, 309 00:17:33,480 --> 00:17:37,040 Speaker 1: especially if it's poorly ventilated, now, wearing a mask reduces 310 00:17:37,080 --> 00:17:39,720 Speaker 1: your risk of infection and reduces your risk of spreading 311 00:17:39,760 --> 00:17:41,879 Speaker 1: it to others. So we've got to continue to encourage 312 00:17:41,920 --> 00:17:44,640 Speaker 1: people to do that, and then encouraging people to get 313 00:17:44,920 --> 00:17:47,640 Speaker 1: vaccinated and get up to data on their vaccines. Can 314 00:17:47,680 --> 00:17:49,720 Speaker 1: I just say, Clay, before we even get a vaccine 315 00:17:49,760 --> 00:17:53,000 Speaker 1: part reduces it how much? If you're going to tell 316 00:17:53,040 --> 00:17:55,639 Speaker 1: me it's based in science and data, you should have 317 00:17:55,680 --> 00:17:58,280 Speaker 1: a number. Now we might even argue over the number, 318 00:17:58,320 --> 00:18:01,440 Speaker 1: but why do we never get told how much reduction? 319 00:18:01,920 --> 00:18:05,639 Speaker 1: Because some of the better designed and ninety five mask 320 00:18:05,840 --> 00:18:10,399 Speaker 1: in laboratory setting, real world studies think that the reduction 321 00:18:10,440 --> 00:18:15,439 Speaker 1: and aerosolized virus is like fifteen percent ten percent, and 322 00:18:15,520 --> 00:18:19,720 Speaker 1: that's best case scenario. The cloth mask is probably point 323 00:18:19,800 --> 00:18:24,840 Speaker 1: zero zero one percent. And what we have learned is 324 00:18:25,000 --> 00:18:26,439 Speaker 1: I saw this. I don't know if you saw this 325 00:18:26,480 --> 00:18:30,119 Speaker 1: one buck. This guy named Jake Keene, who is his 326 00:18:30,240 --> 00:18:35,120 Speaker 1: first of all, if your Twitter handle involves any degree 327 00:18:35,240 --> 00:18:40,280 Speaker 1: that you have ever received, you are a huge loser. 328 00:18:40,400 --> 00:18:42,320 Speaker 1: Let me just toss that out in general, if you 329 00:18:42,320 --> 00:18:45,479 Speaker 1: are listening to us right now and you put the 330 00:18:45,520 --> 00:18:48,959 Speaker 1: fact that you have an advanced degree in your Twitter handle, 331 00:18:49,400 --> 00:18:53,720 Speaker 1: then you need to seriously reconsider many things in your life. 332 00:18:53,720 --> 00:18:56,000 Speaker 1: But this guy is amazing. I don't even know what 333 00:18:56,080 --> 00:19:02,440 Speaker 1: some of these things are. Jake Keene MD, ms FCCMFAAP 334 00:19:03,520 --> 00:19:08,080 Speaker 1: and his Twitter handle is at Jake Kane MD. This 335 00:19:08,119 --> 00:19:12,480 Speaker 1: is what he tweeted COVID nineteen hashtag of course has 336 00:19:12,560 --> 00:19:17,840 Speaker 1: hit my kid. We vaccinated masked eight outside, and yet 337 00:19:18,440 --> 00:19:22,920 Speaker 1: I all caps hate the people who downplayed mask That 338 00:19:22,960 --> 00:19:25,280 Speaker 1: would be you and me, buck yep, and continue to 339 00:19:25,359 --> 00:19:30,160 Speaker 1: push misinformation. The disappointment on his face as we cancel 340 00:19:30,320 --> 00:19:36,119 Speaker 1: long made plans is devastating. Hashtag covid is not over 341 00:19:36,640 --> 00:19:38,520 Speaker 1: hashtag I didn't even know this. There's a thing, but 342 00:19:39,359 --> 00:19:42,439 Speaker 1: there's so many hashtags. The more hashtags, the more you 343 00:19:42,480 --> 00:19:46,080 Speaker 1: know you're dealing with a live loon. Uh. Hashtag covid 344 00:19:46,160 --> 00:19:48,560 Speaker 1: is not over hashtag I didn't even know this was 345 00:19:48,600 --> 00:19:53,200 Speaker 1: a thing. Tweet tweety attrition. I guess there are pediatricians 346 00:19:53,240 --> 00:19:55,479 Speaker 1: who tweet and have turned mixed the I don't know 347 00:19:55,960 --> 00:20:01,120 Speaker 1: and hashtag parenting. Um. So I read things like this 348 00:20:01,400 --> 00:20:07,240 Speaker 1: from Jake Kane MD, MSFCCM, FAAP. All of that is 349 00:20:07,280 --> 00:20:09,879 Speaker 1: in his Twitter like name, however, you do does he 350 00:20:09,960 --> 00:20:12,040 Speaker 1: have a Ukraine flag in there anywhere? By the way, 351 00:20:13,160 --> 00:20:15,080 Speaker 1: what do you think it's? Bio says, well, he doesn't 352 00:20:15,080 --> 00:20:17,240 Speaker 1: care about Zelenski, so how can we take him seriously? 353 00:20:17,320 --> 00:20:21,600 Speaker 1: He's an advocate for kids? Uh So? Anyway, I mean, 354 00:20:21,680 --> 00:20:25,560 Speaker 1: this guy is clearly a clown. Um, but this is 355 00:20:25,680 --> 00:20:30,520 Speaker 1: emblematic of the era of expert that we have created. 356 00:20:30,960 --> 00:20:35,480 Speaker 1: Your kids. I'm not a FAAP, I'm I'm gonna be clear, 357 00:20:35,800 --> 00:20:38,720 Speaker 1: I'm not FCCM, I'm not MS, and I don't have 358 00:20:38,760 --> 00:20:41,040 Speaker 1: an m D. Let me just tell you this. Your 359 00:20:41,080 --> 00:20:44,119 Speaker 1: kids are gonna get COVID. Every single one of you 360 00:20:44,240 --> 00:20:46,840 Speaker 1: listening right now. You're a Republican, you're a Democrat, you're 361 00:20:46,840 --> 00:20:50,199 Speaker 1: an independent, black, white, Asian, hispanic, doesn't matter, what your 362 00:20:50,280 --> 00:20:53,640 Speaker 1: gender is, doesn't matter what your kids identify as. They're 363 00:20:53,680 --> 00:20:56,440 Speaker 1: all gonna get COVID, every single one of them. And 364 00:20:56,720 --> 00:21:00,720 Speaker 1: we know buck already. Most of your kids have probably 365 00:21:00,720 --> 00:21:02,960 Speaker 1: already had COVID. What were we at back in March 366 00:21:03,080 --> 00:21:06,119 Speaker 1: they said seventy five ye basically of all kids had 367 00:21:06,119 --> 00:21:09,280 Speaker 1: already had COVID based on purology tests. I was saying 368 00:21:09,359 --> 00:21:12,479 Speaker 1: Clay in the late spring of twenty twenty. People need 369 00:21:12,560 --> 00:21:15,520 Speaker 1: to understand that everybody's going to get COVID. That's actually 370 00:21:15,560 --> 00:21:17,560 Speaker 1: what's going to happen. The same way that everybody gets 371 00:21:17,600 --> 00:21:20,359 Speaker 1: the common cold, everybody's gonna get COVID. And both of 372 00:21:20,440 --> 00:21:23,200 Speaker 1: us have had COVID twice. I would venture that my kids, 373 00:21:23,240 --> 00:21:27,160 Speaker 1: all three of them, have had COVID. Every single kid 374 00:21:27,359 --> 00:21:30,480 Speaker 1: in America and pretty much around the world is going 375 00:21:30,600 --> 00:21:33,440 Speaker 1: to get coke COVID. It's an inevitable. It's an inevitability, 376 00:21:33,600 --> 00:21:35,480 Speaker 1: and they may get it more than once. And so 377 00:21:35,600 --> 00:21:38,600 Speaker 1: when I see this guy flipping out over the fact 378 00:21:38,640 --> 00:21:41,880 Speaker 1: that his son got COVID, I wonder, buck, how many 379 00:21:41,960 --> 00:21:45,560 Speaker 1: people out there think that their kids are not going 380 00:21:45,680 --> 00:21:48,360 Speaker 1: to get COVID. And worse than that, for the kid, 381 00:21:48,480 --> 00:21:52,880 Speaker 1: I think, because you're basically sentencing them to home confinement, 382 00:21:53,920 --> 00:21:57,160 Speaker 1: how many people think they can stop their kids from 383 00:21:57,200 --> 00:22:00,920 Speaker 1: getting COVID based on the life choices they make for 384 00:22:01,200 --> 00:22:05,240 Speaker 1: those kids. The fact that people like this, who have mds, 385 00:22:05,320 --> 00:22:08,760 Speaker 1: as this guy clearly wants you to know, would still 386 00:22:08,880 --> 00:22:11,680 Speaker 1: believe things like this two and a half years into 387 00:22:11,800 --> 00:22:15,680 Speaker 1: COVID makes me question how we're still here? Can you 388 00:22:16,000 --> 00:22:18,960 Speaker 1: the White House and people anyone who's thinking about this? 389 00:22:19,040 --> 00:22:21,720 Speaker 1: And I know if you live in Texas and Florida 390 00:22:21,800 --> 00:22:25,320 Speaker 1: and Oklahoma and the Dakotas and the Carolinas, and we 391 00:22:25,400 --> 00:22:28,080 Speaker 1: have these wonderful audiences there and these great affiliates in 392 00:22:28,119 --> 00:22:31,200 Speaker 1: those states, you're thinking this is a coastal problem. I 393 00:22:31,320 --> 00:22:34,560 Speaker 1: am unfortunately here to remind everybody. They'll bring the mask 394 00:22:34,640 --> 00:22:38,360 Speaker 1: mandates back on planes, They'll bring it back into federal buildings. 395 00:22:38,520 --> 00:22:42,359 Speaker 1: They're still firing people from the National Guard across the nation. 396 00:22:42,520 --> 00:22:47,080 Speaker 1: For if you're in your blue city, even if you 397 00:22:47,320 --> 00:22:49,560 Speaker 1: live in a red state, you know you're listening to 398 00:22:49,720 --> 00:22:52,760 Speaker 1: us in Louisville or Memphis or Nashville or Birmingham, like 399 00:22:52,880 --> 00:22:54,879 Speaker 1: you're in a red state, that could still happen to you. 400 00:22:55,119 --> 00:23:01,840 Speaker 1: And they have admitted no wrongdoing, being wrong. They still 401 00:23:02,000 --> 00:23:05,200 Speaker 1: think that what they did, all of it was worth. 402 00:23:05,359 --> 00:23:09,280 Speaker 1: Lockdowns were worthwhile, Masks were worthwhile and mandatory, and they're 403 00:23:09,359 --> 00:23:13,000 Speaker 1: necessary and vaccines. Ah, and no, that's what I mean. 404 00:23:13,280 --> 00:23:16,600 Speaker 1: But they think, they think they did a great job. 405 00:23:17,000 --> 00:23:19,600 Speaker 1: They've convinced themselves of this. And here is the White House. 406 00:23:20,160 --> 00:23:23,600 Speaker 1: Remember this is the COVID, the official COVID coordinator who 407 00:23:23,680 --> 00:23:26,359 Speaker 1: they're having do more more talking than Fauci. Listen to this. 408 00:23:26,640 --> 00:23:28,880 Speaker 1: My view on this has been for really for two years, 409 00:23:28,960 --> 00:23:30,760 Speaker 1: well before I came into this current role. My view 410 00:23:30,840 --> 00:23:35,080 Speaker 1: on this has been very clear, which is local jurisdictions, cities, counties, 411 00:23:35,200 --> 00:23:38,959 Speaker 1: states should make decisions about mask mandates because communities are 412 00:23:39,000 --> 00:23:42,840 Speaker 1: different and their patterns of transmission are different. That said, 413 00:23:43,000 --> 00:23:45,360 Speaker 1: CDC has very clear guidance on this as well through 414 00:23:45,359 --> 00:23:48,840 Speaker 1: their COVID community levels, and the CDC recommendation is that 415 00:23:48,920 --> 00:23:50,960 Speaker 1: when you're in a high zone, that sort of orange 416 00:23:51,080 --> 00:23:54,720 Speaker 1: zone as La County is, you know, people wearing masks 417 00:23:54,760 --> 00:23:57,800 Speaker 1: indoors is really important and it really will make a difference. Okay, 418 00:23:58,000 --> 00:24:00,520 Speaker 1: first of all, it really will make it difference. This 419 00:24:00,720 --> 00:24:03,240 Speaker 1: person is out of his mind. I live in the 420 00:24:03,359 --> 00:24:08,480 Speaker 1: most mask obsessed place in the entire United States. It 421 00:24:08,640 --> 00:24:11,920 Speaker 1: made no difference. All of my mask and ninety five 422 00:24:12,080 --> 00:24:15,840 Speaker 1: double mask don't touch me. I'm terrified neighbors got COVID. 423 00:24:15,960 --> 00:24:19,200 Speaker 1: Everybody got COVID. Made no difference whatsoever. They can't show 424 00:24:19,320 --> 00:24:23,200 Speaker 1: any difference in the data because it doesn't exist. And 425 00:24:23,640 --> 00:24:25,639 Speaker 1: the fact though that notice he goes to the cities, 426 00:24:25,680 --> 00:24:29,520 Speaker 1: he's essentially telling the cities, Hey, this whole color coordinated 427 00:24:29,600 --> 00:24:32,760 Speaker 1: thing a red zone, an organ zone. Who wants to 428 00:24:32,880 --> 00:24:36,720 Speaker 1: live their life this way? Only brainwash lives who think 429 00:24:36,760 --> 00:24:40,480 Speaker 1: that the government is really still protecting them. San Diego County, 430 00:24:40,760 --> 00:24:43,879 Speaker 1: which I know it's summer session, but schools masks are 431 00:24:43,920 --> 00:24:47,040 Speaker 1: back today in schools there, folks. Los Angeles County is 432 00:24:47,160 --> 00:24:50,680 Speaker 1: like ten days away from a full on mask mandate. 433 00:24:50,920 --> 00:24:54,200 Speaker 1: New York City not far behind. Are not very smart 434 00:24:54,320 --> 00:24:57,119 Speaker 1: mayor not very smart at all, is a big believer 435 00:24:57,320 --> 00:25:00,520 Speaker 1: in masks in New York City. So this is where 436 00:25:00,520 --> 00:25:03,440 Speaker 1: we're heading. And when we get into the cycle of 437 00:25:03,480 --> 00:25:06,680 Speaker 1: of COVID that's going to go through the country, it 438 00:25:06,880 --> 00:25:10,040 Speaker 1: will result and I think their restoration by Biden of 439 00:25:10,080 --> 00:25:12,119 Speaker 1: the mask mandate because if they if they get crushed 440 00:25:12,119 --> 00:25:14,840 Speaker 1: in the midterms, the game is over for them anyway, right, 441 00:25:14,880 --> 00:25:16,919 Speaker 1: So they're just going to try to abuse executive authority 442 00:25:16,960 --> 00:25:19,399 Speaker 1: wherever they can. But we we do that there is 443 00:25:19,480 --> 00:25:20,919 Speaker 1: some good news on this. Do you want to hold there? 444 00:25:20,960 --> 00:25:23,639 Speaker 1: There's a doctor in LA there's some good news. I 445 00:25:23,720 --> 00:25:26,639 Speaker 1: want to hit the And we should mention too that 446 00:25:26,800 --> 00:25:30,359 Speaker 1: while all of these mandates are going to be rolling out, 447 00:25:32,000 --> 00:25:34,960 Speaker 1: the one positive in addition to the audio that we're 448 00:25:34,960 --> 00:25:38,280 Speaker 1: about to play you is most we don't know a 449 00:25:38,400 --> 00:25:41,480 Speaker 1: total count of COVID because most people have just stopped testing. 450 00:25:41,960 --> 00:25:44,639 Speaker 1: That that, I would say, is one small measure of 451 00:25:45,000 --> 00:25:47,960 Speaker 1: of of comfort in the same way that for most 452 00:25:48,000 --> 00:25:50,800 Speaker 1: of our lives, if we've gotten the flu. I've never 453 00:25:50,880 --> 00:25:52,960 Speaker 1: gotten a flu test in my life. I know I've 454 00:25:53,000 --> 00:25:57,080 Speaker 1: had the flu several times. Most people in America are 455 00:25:57,200 --> 00:25:59,600 Speaker 1: now done with testing. They're just saying, screw it. If 456 00:25:59,600 --> 00:26:01,520 Speaker 1: I don't, oh, well, maybe you stay home. I don't 457 00:26:01,560 --> 00:26:03,000 Speaker 1: know if it's COVID, I don't know if it's a flu. 458 00:26:03,119 --> 00:26:06,320 Speaker 1: I don't know if it's a cold. But otherwise they're 459 00:26:06,400 --> 00:26:08,760 Speaker 1: kind of getting back to normal, because if we were 460 00:26:08,800 --> 00:26:10,960 Speaker 1: still testing the same way that we have in the past, 461 00:26:11,440 --> 00:26:13,320 Speaker 1: we would be through the roof. In terms of the 462 00:26:13,400 --> 00:26:15,520 Speaker 1: number of cases that are going on. There there are 463 00:26:15,640 --> 00:26:19,320 Speaker 1: some we often have some honestly, some some just great 464 00:26:19,359 --> 00:26:22,120 Speaker 1: health professionals and rave people on the show, like doctor 465 00:26:22,200 --> 00:26:25,560 Speaker 1: Marty McCarry, and we have you know, people that chase 466 00:26:25,680 --> 00:26:29,440 Speaker 1: the data fearlessly, like Alex Barrinson back on Twitter. There 467 00:26:29,480 --> 00:26:31,760 Speaker 1: are some other voices that we are starting to hear 468 00:26:32,320 --> 00:26:35,080 Speaker 1: the beginnings of it to say, guys, we really can't 469 00:26:35,119 --> 00:26:37,840 Speaker 1: do this again. You know you can fire me from 470 00:26:37,960 --> 00:26:41,160 Speaker 1: my hospital job. We really can't do this again. We're 471 00:26:41,240 --> 00:26:43,800 Speaker 1: starting to see I think a little bit of that percolate. 472 00:26:43,920 --> 00:26:45,480 Speaker 1: So we want to encourage and Clay, I know you've 473 00:26:45,520 --> 00:26:47,439 Speaker 1: got a great example of it, and we come back 474 00:26:47,480 --> 00:26:48,879 Speaker 1: here in a second. You're all gonna want to hear it. 475 00:26:49,440 --> 00:26:51,720 Speaker 1: Verizon AT and T and T Mobile are charging you 476 00:26:51,800 --> 00:26:53,879 Speaker 1: a premium fee for data you don't use on your 477 00:26:53,920 --> 00:26:57,520 Speaker 1: cell phones, and it's so unnecessary. So instead of paying 478 00:26:57,680 --> 00:26:59,399 Speaker 1: what I was paying, which is basically a one hundred 479 00:26:59,400 --> 00:27:02,040 Speaker 1: bucks a month your current provider, you can get talk, 480 00:27:02,160 --> 00:27:04,920 Speaker 1: text and data for just thirty dollars a month with 481 00:27:05,000 --> 00:27:07,840 Speaker 1: pure Talk. I made the switch. I'm on this plan now. 482 00:27:07,960 --> 00:27:11,120 Speaker 1: I rely on pure Talk for my cell service all day, 483 00:27:11,200 --> 00:27:14,320 Speaker 1: twenty four seven, for work, for personal stuff, everything. They 484 00:27:14,359 --> 00:27:16,840 Speaker 1: come through with incredible cell phone service, every bit as 485 00:27:16,880 --> 00:27:18,879 Speaker 1: good as the big names you already know, but for 486 00:27:18,960 --> 00:27:21,200 Speaker 1: so much less money every month. So why light money 487 00:27:21,240 --> 00:27:24,240 Speaker 1: on fire for no reason? I repeat, Pure talks five 488 00:27:24,359 --> 00:27:27,440 Speaker 1: g service is that good? So if you're ready to 489 00:27:27,560 --> 00:27:30,040 Speaker 1: join me in making a switch, move to Pure Talk 490 00:27:30,160 --> 00:27:33,200 Speaker 1: now you'll get a month free. Grab your cell phone 491 00:27:33,280 --> 00:27:37,080 Speaker 1: dial pound two five zero and just say Clay and Buck. 492 00:27:37,359 --> 00:27:39,920 Speaker 1: With Pure Talks no risk, money back guarantee you're not 493 00:27:40,000 --> 00:27:43,800 Speaker 1: going to regret this. Dial pound two five zero and 494 00:27:44,040 --> 00:27:47,440 Speaker 1: say Clay and Buck. Sign up and get a month free. 495 00:27:47,800 --> 00:27:50,840 Speaker 1: Dial pound two five zero, say Clay and Buck. Pure 496 00:27:50,880 --> 00:27:56,640 Speaker 1: Talk is simply smarter. Welcome back in Clay Travis Buck 497 00:27:56,720 --> 00:27:59,439 Speaker 1: Sexton show. We are joined by our good friend as 498 00:27:59,520 --> 00:28:03,640 Speaker 1: Senator Johnson from the great state of Wisconsin. He's been 499 00:28:03,680 --> 00:28:05,399 Speaker 1: down to the border. We'll get to that in a sect. 500 00:28:05,480 --> 00:28:10,520 Speaker 1: But Senator Johnson, I gotta say, everyone who is trying 501 00:28:10,600 --> 00:28:14,720 Speaker 1: to run against you from the Democrat Party in Wisconsin 502 00:28:15,680 --> 00:28:19,959 Speaker 1: refuse to answer whether they believed I'm not making this up. 503 00:28:20,400 --> 00:28:23,720 Speaker 1: If men could get pregnant, I really think whenever you 504 00:28:23,840 --> 00:28:26,560 Speaker 1: have your debate against whoever this chump is who they 505 00:28:26,600 --> 00:28:29,040 Speaker 1: put forward. If you just stay a bunch of times, 506 00:28:29,080 --> 00:28:30,959 Speaker 1: can you just answer the question once and for all, 507 00:28:31,080 --> 00:28:34,160 Speaker 1: Yes or no? Can men get pregnant? I can't imagine 508 00:28:34,200 --> 00:28:37,399 Speaker 1: that Wisconsin's going to vote for a senator who believes 509 00:28:37,440 --> 00:28:41,280 Speaker 1: that men can get pregnant. Just that issue alone crystallizes 510 00:28:41,600 --> 00:28:45,960 Speaker 1: how crazy the Democrats have become. Well, it just illustrates 511 00:28:46,000 --> 00:28:49,960 Speaker 1: how insane political discourse is today. By and large, I 512 00:28:50,040 --> 00:28:54,000 Speaker 1: think that to hold issue was meant to be a 513 00:28:54,080 --> 00:28:57,160 Speaker 1: hit job on me. Yeah, we're actually saying that. You know, 514 00:28:57,240 --> 00:29:00,479 Speaker 1: really I hate to say this, but you know, men 515 00:29:00,600 --> 00:29:04,880 Speaker 1: can't get pregnant. Here's the news flash. But it's listen. 516 00:29:04,920 --> 00:29:09,479 Speaker 1: Our state of our politics is depressing. Clare. Honestly, did 517 00:29:09,560 --> 00:29:11,800 Speaker 1: you ever believe you'd be running, You'd be running for 518 00:29:11,880 --> 00:29:13,640 Speaker 1: the Senate and one of the issues that you would 519 00:29:13,640 --> 00:29:16,160 Speaker 1: be debating with your Democrat opponent would be whether men 520 00:29:16,200 --> 00:29:19,920 Speaker 1: could get pregnant or not. No, there's a whole issues 521 00:29:20,000 --> 00:29:22,720 Speaker 1: that I don't think we ever thought we'd have to defend, 522 00:29:22,840 --> 00:29:25,840 Speaker 1: like let's say, the basic benefit of the nuclear family, 523 00:29:26,240 --> 00:29:29,640 Speaker 1: that we'd have to actually, you know, argue for that, 524 00:29:30,400 --> 00:29:33,000 Speaker 1: that we shouldn't be indoctrinating our children in school, that 525 00:29:33,120 --> 00:29:37,360 Speaker 1: we shouldn't be allowing schools to for example, inject gendered 526 00:29:37,400 --> 00:29:40,000 Speaker 1: blocking drugs in our children without parental consent. I mean, 527 00:29:40,040 --> 00:29:43,360 Speaker 1: there's so many issues the lectors pushing, you know, men, 528 00:29:43,520 --> 00:29:47,920 Speaker 1: biological men competing against women. It never even crossed our 529 00:29:48,000 --> 00:29:50,600 Speaker 1: minds if that would ever become a political issue, but 530 00:29:50,720 --> 00:29:52,880 Speaker 1: that's what the radical lector is pushing on America. I 531 00:29:53,000 --> 00:29:57,600 Speaker 1: hope Americans don't think this is normalized. It's this kind 532 00:29:57,640 --> 00:30:01,600 Speaker 1: of behavior, these types of issues aren't normal. Senator Johnson's buck, 533 00:30:02,080 --> 00:30:04,600 Speaker 1: I know you just were at the border, and we 534 00:30:04,840 --> 00:30:06,880 Speaker 1: try to do as much as we can here on 535 00:30:07,000 --> 00:30:10,719 Speaker 1: the show to keep everybody up to speed and up 536 00:30:10,760 --> 00:30:14,160 Speaker 1: to date on what's happening at the porous Biden border 537 00:30:14,400 --> 00:30:17,920 Speaker 1: right now. I remember going myself years ago into a 538 00:30:18,080 --> 00:30:21,480 Speaker 1: San Diego sector right next to Tijuana, and I was 539 00:30:21,520 --> 00:30:23,920 Speaker 1: asking for some what's really going on here, and they're saying, well, 540 00:30:23,960 --> 00:30:26,720 Speaker 1: you know, the unaccompanied miners. We had an unccompanied miner 541 00:30:26,760 --> 00:30:29,920 Speaker 1: who was thirty two who claimed to be seventeen. I mean, 542 00:30:30,000 --> 00:30:32,560 Speaker 1: just to give a sense of what kind of scams 543 00:30:32,600 --> 00:30:35,040 Speaker 1: were being wrong and what was really happening, what were 544 00:30:35,120 --> 00:30:37,040 Speaker 1: some of the things that you saw, I mean, what 545 00:30:37,160 --> 00:30:40,040 Speaker 1: were some of the stories the takeaways from your time 546 00:30:40,120 --> 00:30:43,360 Speaker 1: at the border as it's being overrun right now by 547 00:30:43,680 --> 00:30:48,360 Speaker 1: lawlessness and lawlessness and illegality. Well, you know, I've made 548 00:30:48,440 --> 00:30:50,240 Speaker 1: so many trips to the border, but you always learned 549 00:30:50,280 --> 00:30:56,120 Speaker 1: something new, You see something more profoundly disturbing. But you 550 00:30:56,280 --> 00:30:59,840 Speaker 1: past the basic statistics. For example, over three million people 551 00:31:00,000 --> 00:31:03,120 Speaker 1: and encountered at the border since Joe Biden took office. 552 00:31:03,200 --> 00:31:06,360 Speaker 1: That's more than six thousand people per day, a large 553 00:31:06,440 --> 00:31:10,360 Speaker 1: caravan per day. We had a briefing, you do a 554 00:31:10,560 --> 00:31:14,080 Speaker 1: back of the envelope calculation. You realize just the people 555 00:31:14,240 --> 00:31:18,280 Speaker 1: encountered is about an eighteen point three billion dollars per 556 00:31:18,400 --> 00:31:22,400 Speaker 1: year business This is what binds open border policy. It's 557 00:31:22,480 --> 00:31:26,240 Speaker 1: facilitying a multi billion dollars eighteen point three billion dollar 558 00:31:26,400 --> 00:31:29,000 Speaker 1: year business model and some of the most evil people 559 00:31:29,160 --> 00:31:33,000 Speaker 1: on the planet. Okay, but let me talk about help 560 00:31:33,080 --> 00:31:37,040 Speaker 1: profoundly disturbing. This is you can hear the statistics, you 561 00:31:37,120 --> 00:31:40,080 Speaker 1: can see the pictures, but until you're actually on the 562 00:31:40,200 --> 00:31:44,640 Speaker 1: border and you see a group of migrants come, a 563 00:31:44,720 --> 00:31:47,600 Speaker 1: couple of women, a bunch of young people. You are 564 00:31:47,680 --> 00:31:50,800 Speaker 1: introduced to a little six year old and seven year 565 00:31:50,840 --> 00:31:55,560 Speaker 1: old girl. That is that are unaccompanied, that all they 566 00:31:55,640 --> 00:31:58,959 Speaker 1: have is a little plastic bag with their birth certificate 567 00:31:59,560 --> 00:32:01,960 Speaker 1: and an out card with a phone number and address. 568 00:32:02,040 --> 00:32:04,240 Speaker 1: That's it. That's the only thing that connects them to 569 00:32:04,400 --> 00:32:07,520 Speaker 1: somebody that apparently they know in the US. They was 570 00:32:07,600 --> 00:32:10,440 Speaker 1: that piece of paper and they're just lost. And then 571 00:32:10,920 --> 00:32:15,760 Speaker 1: Bill Bill, a Fox News reporter, was there on the 572 00:32:15,840 --> 00:32:20,840 Speaker 1: scene and he's been doing you know Bill, Yeah, he 573 00:32:20,880 --> 00:32:25,160 Speaker 1: does fantastic work, Yeah, Bill. Bill mulugan was telling us 574 00:32:25,240 --> 00:32:29,360 Speaker 1: that at that same spot, not two in the distance past, 575 00:32:30,240 --> 00:32:34,040 Speaker 1: two similar age girls were being treated by CBP because 576 00:32:34,080 --> 00:32:37,120 Speaker 1: they just then brutally raped, and we were looking at 577 00:32:37,240 --> 00:32:40,640 Speaker 1: six and seven year old little girl. One thing I 578 00:32:40,680 --> 00:32:43,280 Speaker 1: found out we all found about never heard this one before. 579 00:32:43,320 --> 00:32:48,280 Speaker 1: They the human trappers will taunt a border customers of 580 00:32:48,320 --> 00:32:51,000 Speaker 1: Border Patrol about how completely important they are because of 581 00:32:51,200 --> 00:32:54,000 Speaker 1: Biden's open border policy with what they call either a 582 00:32:54,080 --> 00:32:58,280 Speaker 1: taunting tree or a rape tree or a panty tree, 583 00:32:58,320 --> 00:33:00,240 Speaker 1: which is basically what they do is a they just 584 00:33:00,360 --> 00:33:03,480 Speaker 1: put the panties as some woman they've or girl that 585 00:33:03,560 --> 00:33:07,080 Speaker 1: they've sexually assaulted on a tree, load that tree up 586 00:33:07,160 --> 00:33:10,040 Speaker 1: just to taunt. Tustin's Border Control say there's nothing you 587 00:33:10,040 --> 00:33:12,240 Speaker 1: can do to stop us. It's sick. You know. The 588 00:33:12,320 --> 00:33:14,400 Speaker 1: other thing people need to realize that the word is 589 00:33:16,360 --> 00:33:20,680 Speaker 1: on the Mexican side. Nobody's crossing the border without paying 590 00:33:21,080 --> 00:33:24,200 Speaker 1: that human trafficking fee to again, some of the most 591 00:33:24,240 --> 00:33:26,360 Speaker 1: evil people on the planet. So we could control the 592 00:33:26,400 --> 00:33:28,960 Speaker 1: border if there was any will on the part of 593 00:33:29,000 --> 00:33:31,920 Speaker 1: this administration do so, and of course there's not. I mean, 594 00:33:32,000 --> 00:33:36,040 Speaker 1: this administration wants open border policies with all the human depredations, 595 00:33:36,520 --> 00:33:42,360 Speaker 1: the rapes, the deadly drugs, the sex trafficking, the involuntary servitude, 596 00:33:42,840 --> 00:33:47,600 Speaker 1: the beatings. I mean, it's it's it's horrific. And of 597 00:33:47,640 --> 00:33:50,240 Speaker 1: course the mainstream media is by and large ignoring it, 598 00:33:50,840 --> 00:33:53,640 Speaker 1: you know, other than for people like Bill Malougan and 599 00:33:53,800 --> 00:33:56,680 Speaker 1: a few other news outlets, this radio program, it's just 600 00:33:56,840 --> 00:33:59,160 Speaker 1: not being covered. It's being covered up by the mainstream 601 00:33:59,240 --> 00:34:05,440 Speaker 1: the complicity incorrupt mainstream media. We're talking to Senator Ron 602 00:34:05,520 --> 00:34:09,360 Speaker 1: Johnson from Wisconsin. Senator. In addition to your trip to 603 00:34:09,920 --> 00:34:12,399 Speaker 1: the border and the battles that you are fighting there, 604 00:34:13,000 --> 00:34:15,719 Speaker 1: I'm sure you saw that doctor Fauci said he will 605 00:34:15,760 --> 00:34:20,000 Speaker 1: be retiring by January of twenty twenty five, and Buck 606 00:34:20,040 --> 00:34:22,080 Speaker 1: and I've already been talking about that. It's far too 607 00:34:22,440 --> 00:34:24,960 Speaker 1: long to allow him to be in office for that 608 00:34:25,200 --> 00:34:29,680 Speaker 1: much longer. But I want to know if you and 609 00:34:29,920 --> 00:34:33,080 Speaker 1: the Republicans take back control of the Senate, and we 610 00:34:33,120 --> 00:34:36,200 Speaker 1: feel very good about Republicans taking back control of the House, 611 00:34:36,800 --> 00:34:40,000 Speaker 1: what will that mean to doctor Fauci when he wakes 612 00:34:40,080 --> 00:34:44,319 Speaker 1: up in January of twenty twenty three. Well, I think 613 00:34:44,320 --> 00:34:47,000 Speaker 1: he will resign on the spot because he's not going 614 00:34:47,080 --> 00:34:49,879 Speaker 1: to want the truth revealed. I've written something like over 615 00:34:50,000 --> 00:34:54,640 Speaker 1: forty oversight letters in some aspect of COVID where gotten responses. 616 00:34:54,680 --> 00:34:57,480 Speaker 1: They're non responsive response, they're not really answering the questions. 617 00:34:58,200 --> 00:35:01,759 Speaker 1: Right now, we are going through four hundred pages of 618 00:35:01,920 --> 00:35:05,640 Speaker 1: the four thousand emails that were foy it and delivered 619 00:35:05,719 --> 00:35:09,960 Speaker 1: heavily redacted. We've identified four hundred pages we want to look, 620 00:35:10,760 --> 00:35:14,080 Speaker 1: you know, review, unredacted. We're not Congress is not subject 621 00:35:14,120 --> 00:35:17,840 Speaker 1: to redactions. The problem is AHHS wouldn't give those two us. 622 00:35:17,880 --> 00:35:20,239 Speaker 1: They finally agreed to allow us to look at these 623 00:35:20,360 --> 00:35:24,840 Speaker 1: in a reading room, unredacted, no copies made, just taken 624 00:35:24,920 --> 00:35:27,359 Speaker 1: notes fifty pages at a time. It's been a six 625 00:35:27,440 --> 00:35:30,920 Speaker 1: month process going through about three hundred fifty pages, we're down. 626 00:35:30,920 --> 00:35:34,880 Speaker 1: The will last fifty pages. They will not give us 627 00:35:35,120 --> 00:35:39,080 Speaker 1: those last fifty pages unredacted. I mean, I'm sure that's 628 00:35:39,120 --> 00:35:44,320 Speaker 1: where the real incriminating information resides. Just just like with 629 00:35:44,440 --> 00:35:47,279 Speaker 1: the Fiser documents, you know they're releasing those in ninety 630 00:35:47,320 --> 00:35:49,680 Speaker 1: thousand page tranches. I can tell you that the real 631 00:35:49,760 --> 00:35:54,080 Speaker 1: incriminating information in terms of the trials that were not 632 00:35:54,880 --> 00:35:57,360 Speaker 1: robust as they should have been. I'm sure that the 633 00:35:57,440 --> 00:35:59,480 Speaker 1: worst information for Fiser is gonna come out in the 634 00:35:59,560 --> 00:36:05,200 Speaker 1: last Speaking to Senator Ron Johnson, Senator, we know that 635 00:36:05,400 --> 00:36:07,560 Speaker 1: your race is a critical one coming up here for 636 00:36:07,640 --> 00:36:10,440 Speaker 1: the Senate, and wanted to want to tell everybody they 637 00:36:10,480 --> 00:36:12,120 Speaker 1: want to help, they want to get involved. We're number 638 00:36:12,160 --> 00:36:14,680 Speaker 1: one in Milwaukee. We've got people listening all across the state. 639 00:36:14,719 --> 00:36:18,520 Speaker 1: Where should they go? Ron Johnson for Senate dot Com. 640 00:36:18,600 --> 00:36:21,680 Speaker 1: They've already spent forty four million dollars against me and 641 00:36:21,760 --> 00:36:24,760 Speaker 1: I don't even have an opponent yet resolved in dark money. 642 00:36:25,360 --> 00:36:27,000 Speaker 1: So I'm gonna need a lot of help. Ron Johnson, 643 00:36:27,000 --> 00:36:29,640 Speaker 1: Senate dot Com. Anything you do would be highly appreciated. 644 00:36:30,120 --> 00:36:33,320 Speaker 1: This is the crucial Senate seat. This will determine I 645 00:36:33,400 --> 00:36:35,440 Speaker 1: think control of the US Senate. We've got to win it. 646 00:36:35,520 --> 00:36:37,080 Speaker 1: I think he's right, folks, and we do have to 647 00:36:37,160 --> 00:36:39,240 Speaker 1: win it. And Ron's the man for the job. Senator Johnson, 648 00:36:39,280 --> 00:36:43,680 Speaker 1: thanks for being with us every day, folks. 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Either way, 668 00:37:41,400 --> 00:37:44,160 Speaker 1: get the nineteen ninety five three week quickstart developed for you. 669 00:37:44,680 --> 00:37:47,840 Speaker 1: That's relief Factor dot Com or call eight hundred the 670 00:37:47,920 --> 00:37:51,160 Speaker 1: number four Relief. Move more, live more, just enjoy your 671 00:37:51,239 --> 00:37:56,520 Speaker 1: life more with Relief Factor. Welcome back, Clay Travis and 672 00:37:56,760 --> 00:38:00,160 Speaker 1: Buck Sexton show still going strong, my friends. We have 673 00:38:00,560 --> 00:38:04,280 Speaker 1: Stephen Miller with us now former senior advisor to President 674 00:38:04,360 --> 00:38:08,520 Speaker 1: Trump and president of America First Legal. Stephen, great to 675 00:38:08,520 --> 00:38:11,399 Speaker 1: have you back on the program. It's great to be back. 676 00:38:11,480 --> 00:38:14,239 Speaker 1: Thank you. So you're on the front lines of the 677 00:38:14,360 --> 00:38:16,440 Speaker 1: legal fight in so many ways, but I wanted you 678 00:38:16,520 --> 00:38:19,560 Speaker 1: to tell everybody about what America First Legal is doing 679 00:38:20,200 --> 00:38:23,680 Speaker 1: when it comes to when it comes to places like 680 00:38:23,800 --> 00:38:29,160 Speaker 1: Dick Sporting Goods offering benefits to employees who abort their children, 681 00:38:29,600 --> 00:38:34,280 Speaker 1: but not offering equivalent benefits to mothers who actually give birth. 682 00:38:34,400 --> 00:38:39,200 Speaker 1: Tell us about this. Yeah, So, America First Legal recently 683 00:38:39,360 --> 00:38:43,520 Speaker 1: launched a new effort to go after Wike Corporations for 684 00:38:43,680 --> 00:38:47,080 Speaker 1: violating the Civil rights of their employees and the American 685 00:38:47,160 --> 00:38:52,200 Speaker 1: people in general. And tragically, Dick Sporting Goods is at 686 00:38:52,400 --> 00:38:56,480 Speaker 1: the leading edge of the will corruption of corporate America, 687 00:38:57,040 --> 00:39:01,279 Speaker 1: and they have announced a policy which provide a four 688 00:39:01,400 --> 00:39:07,160 Speaker 1: thousand dollars subsidy to pregnant mothers who abort or terminate 689 00:39:07,280 --> 00:39:11,520 Speaker 1: the child living inside their womb, but no equivalent such 690 00:39:11,600 --> 00:39:15,960 Speaker 1: benefit to pregnant mothers who choose to allow that child 691 00:39:16,080 --> 00:39:21,080 Speaker 1: to continue living and ultimately be born, which violates federal 692 00:39:21,120 --> 00:39:24,719 Speaker 1: civil rights law, specifically Title seven of the US Civil 693 00:39:24,840 --> 00:39:28,960 Speaker 1: Rights Act, as amended by the Pregnancy Discrimination Act, which 694 00:39:29,000 --> 00:39:33,919 Speaker 1: forbids discrimination against pregnant moms, and obviously, by financially incentivizing 695 00:39:34,000 --> 00:39:38,680 Speaker 1: pregnant moms to terminate the baby, they are discriminating in 696 00:39:38,719 --> 00:39:42,200 Speaker 1: an illegal way against those mothers. Dick Sporting Goods also 697 00:39:42,600 --> 00:39:48,719 Speaker 1: has adopted a formal published system of racial quotas in 698 00:39:48,880 --> 00:39:54,240 Speaker 1: making decisions about hiring in promotion, which again facially violates 699 00:39:54,400 --> 00:39:58,680 Speaker 1: US federal civil rights law, and so Dick's CEOs or 700 00:39:58,840 --> 00:40:03,440 Speaker 1: Dick's executives and EO and corporate leaders are all engaged 701 00:40:03,600 --> 00:40:06,719 Speaker 1: in this scheme to break the law and violate the 702 00:40:06,840 --> 00:40:10,000 Speaker 1: rights of their employees. So we filed a formal federal 703 00:40:10,080 --> 00:40:14,200 Speaker 1: civil rights complaint following the process outlined in federal civil 704 00:40:14,280 --> 00:40:19,600 Speaker 1: rights law to hopefully initiate action against exporting Goods for 705 00:40:19,760 --> 00:40:23,160 Speaker 1: violating all of these various federal laws. And I would 706 00:40:23,160 --> 00:40:26,759 Speaker 1: also say to everyone listening today, if you are an 707 00:40:26,800 --> 00:40:30,160 Speaker 1: employee of disporting goods, if you know someone who is 708 00:40:30,200 --> 00:40:35,000 Speaker 1: an employee, please contact us at af legal dot org. 709 00:40:35,239 --> 00:40:39,040 Speaker 1: That's af legal dot org so that we can potentially 710 00:40:39,680 --> 00:40:46,400 Speaker 1: represent you if facts worn. Steve, this is amazing the 711 00:40:46,480 --> 00:40:49,719 Speaker 1: work that you're doing, because on the one hand, if 712 00:40:49,760 --> 00:40:52,480 Speaker 1: you take a step back, this is one of the 713 00:40:52,680 --> 00:40:56,520 Speaker 1: most craven business moves I've ever seen. Because if you 714 00:40:56,680 --> 00:40:59,560 Speaker 1: have a baby, you are pregnant and you have to 715 00:40:59,680 --> 00:41:03,120 Speaker 1: which is why we have protection for pregnant moms. You are, 716 00:41:03,840 --> 00:41:07,319 Speaker 1: you're working through your pregnancy. You typically are taking time 717 00:41:07,400 --> 00:41:10,520 Speaker 1: off after you have a baby. When they are paying 718 00:41:10,640 --> 00:41:14,880 Speaker 1: people to have abortions, they're basically ensuring that they almost 719 00:41:15,000 --> 00:41:17,719 Speaker 1: have no lost work days, right. I mean, on the 720 00:41:17,800 --> 00:41:19,480 Speaker 1: one hand, if you go back and actually you look 721 00:41:19,520 --> 00:41:22,840 Speaker 1: at this, it's it's like, wow, this is incredibly craven, 722 00:41:24,000 --> 00:41:26,279 Speaker 1: and so that an it's the most self it's the 723 00:41:26,360 --> 00:41:32,680 Speaker 1: most self interested, cold blooded bottom line calculation you can imagine, 724 00:41:33,120 --> 00:41:36,080 Speaker 1: which is basically, you're not going to miss time for 725 00:41:36,440 --> 00:41:39,560 Speaker 1: your Obi Julian appointments. You're not gonna miss time or 726 00:41:39,640 --> 00:41:42,680 Speaker 1: labor and deliver, You're not gonna miss time for bonding 727 00:41:42,719 --> 00:41:44,759 Speaker 1: with a new kids. You're just gonna keep showing up. 728 00:41:45,040 --> 00:41:47,160 Speaker 1: You're gonna grind it out in our stores or in 729 00:41:47,200 --> 00:41:49,680 Speaker 1: the corporate ladder, and you're not going to miss a day. 730 00:41:49,760 --> 00:41:52,600 Speaker 1: And so we're basically going to save money by paying 731 00:41:52,640 --> 00:41:56,040 Speaker 1: you to have an abortion. It's really sick stuff. Yeah, 732 00:41:56,120 --> 00:41:59,200 Speaker 1: and so that part I think of this this lawsuit 733 00:41:59,400 --> 00:42:03,320 Speaker 1: is utterly wild. But also I'm curious what you expect. 734 00:42:03,360 --> 00:42:05,920 Speaker 1: Buck and I have talked someone this show about the 735 00:42:06,360 --> 00:42:09,200 Speaker 1: Supreme Court finally taking back up affirmative action, and you 736 00:42:09,280 --> 00:42:13,200 Speaker 1: mentioned civil rights violations predicated on hiring or firing based 737 00:42:13,239 --> 00:42:16,320 Speaker 1: on race or not permitted under United States law. What 738 00:42:16,600 --> 00:42:20,600 Speaker 1: do you think is going to happen when the affirmative 739 00:42:20,600 --> 00:42:22,879 Speaker 1: Action case, which has been taken by the Supreme Court 740 00:42:22,960 --> 00:42:26,400 Speaker 1: and will be heard this fall, presumably based on just 741 00:42:26,560 --> 00:42:29,440 Speaker 1: looking at the past writings, and also the Supreme Court 742 00:42:29,520 --> 00:42:32,120 Speaker 1: makeup right now, is going to be struck down. What 743 00:42:32,360 --> 00:42:34,839 Speaker 1: is that going to do to your opportunity to also 744 00:42:34,920 --> 00:42:38,239 Speaker 1: pursue lawsuits like these? Oh, it's going to be It's 745 00:42:38,280 --> 00:42:43,759 Speaker 1: going to be revolutionary. The Supreme Court ruling in the 746 00:42:44,800 --> 00:42:49,800 Speaker 1: affirmative Action case, which is really just a racial quotas 747 00:42:49,840 --> 00:42:53,440 Speaker 1: case disguise as affirmative action, has the potential to the 748 00:42:53,520 --> 00:42:57,680 Speaker 1: earth shattering. I believe that we have five judges who 749 00:42:57,760 --> 00:43:01,759 Speaker 1: will vote to uphold each will justice and equal rights 750 00:43:01,840 --> 00:43:04,440 Speaker 1: in America, and that's what this comes down to. You have, 751 00:43:05,040 --> 00:43:07,719 Speaker 1: in this case Harvard University, but you have universities all 752 00:43:07,760 --> 00:43:12,640 Speaker 1: over the country that are engaging in wantonly vehulently discriminatory 753 00:43:12,880 --> 00:43:17,360 Speaker 1: behavior they solely on skin color or ethnic background in 754 00:43:17,440 --> 00:43:21,359 Speaker 1: a way that is so plainly in violation of federal law, 755 00:43:22,000 --> 00:43:27,360 Speaker 1: not to mention the equal Protection clause of the Constitution. 756 00:43:28,320 --> 00:43:34,759 Speaker 1: It is just so completely transparently lawless. I pray to 757 00:43:34,800 --> 00:43:36,840 Speaker 1: God we'll get those high votes and that will open up, 758 00:43:36,840 --> 00:43:42,480 Speaker 1: hopefully the floodgates to much needed litigation to begin shutting 759 00:43:42,520 --> 00:43:45,320 Speaker 1: down these practices all across the private and public sector. 760 00:43:45,520 --> 00:43:49,040 Speaker 1: We're speaking to Stephen Miller, former senior visor to President 761 00:43:49,120 --> 00:43:53,640 Speaker 1: Trump and the current president of the america first legal foundation. 762 00:43:53,960 --> 00:43:55,920 Speaker 1: As Stephen, you also might have seen that a federal 763 00:43:56,080 --> 00:44:00,400 Speaker 1: judge just a couple of days ago blocked the Biden 764 00:44:00,800 --> 00:44:05,799 Speaker 1: Education Departments expansion effectively of Title nine through guidance, which 765 00:44:05,840 --> 00:44:10,680 Speaker 1: would have prohibited discrimination based on gender identity. So this 766 00:44:10,840 --> 00:44:16,680 Speaker 1: now brings the trans issue into Title nine and federal 767 00:44:17,080 --> 00:44:20,640 Speaker 1: civil rights law. The judge put it put a temporary 768 00:44:20,719 --> 00:44:23,920 Speaker 1: hold on this one, but essentially you've got twenty Republican 769 00:44:24,080 --> 00:44:28,560 Speaker 1: attorneys general, led by Tennessee Attorney General Herbert Slattery and 770 00:44:28,600 --> 00:44:33,000 Speaker 1: Clay's home state, saying, well, what are we supposed to 771 00:44:33,120 --> 00:44:36,920 Speaker 1: do about gender segregated sports under Title nine? Saying that 772 00:44:37,040 --> 00:44:40,160 Speaker 1: trans individuals can't be discriminated Again, It's like, how do 773 00:44:40,200 --> 00:44:44,320 Speaker 1: you see this playing out? Well, it's an incredibly important ruling, 774 00:44:44,719 --> 00:44:47,279 Speaker 1: And you know, one of the reasons why I got 775 00:44:47,360 --> 00:44:51,439 Speaker 1: into litigation after leaving the administration, it's because so many 776 00:44:51,760 --> 00:44:55,000 Speaker 1: I'm not frankly, most of our cultural battles that are 777 00:44:55,040 --> 00:44:56,640 Speaker 1: going to decide the future of this country are going 778 00:44:56,680 --> 00:44:59,000 Speaker 1: to be decided in our course of law. As we're 779 00:44:59,080 --> 00:45:02,480 Speaker 1: beginning to see a lot of brave attorneys general fighting 780 00:45:02,560 --> 00:45:08,759 Speaker 1: back against the radical gender ideology and the administration's implementation 781 00:45:08,840 --> 00:45:11,799 Speaker 1: of it in our court system, and my organization has 782 00:45:12,120 --> 00:45:15,160 Speaker 1: a very important lawsuit in this area as well. And 783 00:45:15,280 --> 00:45:18,760 Speaker 1: I would say that it gets back to the same issue, 784 00:45:18,800 --> 00:45:23,240 Speaker 1: which is that all of these trans policies are facially 785 00:45:23,320 --> 00:45:27,720 Speaker 1: discriminatory against women. And so we created this whole body 786 00:45:27,800 --> 00:45:31,239 Speaker 1: of federal civil rights law to protect women's spaces, to 787 00:45:31,440 --> 00:45:35,840 Speaker 1: create separate leagues for women's sports, in order to ensure 788 00:45:35,880 --> 00:45:38,560 Speaker 1: that women are not discrimitted against because they are women. 789 00:45:39,239 --> 00:45:42,040 Speaker 1: And now we have, in the name of trans ideology, 790 00:45:42,640 --> 00:45:46,160 Speaker 1: we have men taking opportunities away from women right and left, 791 00:45:46,600 --> 00:45:49,759 Speaker 1: not to mention, invading their personal spaces. And we've all 792 00:45:49,800 --> 00:45:52,799 Speaker 1: seen the stories about, you know, for example, naked men 793 00:45:52,920 --> 00:45:55,280 Speaker 1: parading around women's locker rooms and things of that nature. 794 00:45:55,480 --> 00:45:58,600 Speaker 1: In fact, my organization has a lawsuit against Loudon County 795 00:45:58,600 --> 00:46:03,040 Speaker 1: Public Schools in Virginia which alleges, among other things, that 796 00:46:03,760 --> 00:46:07,480 Speaker 1: students are being forced to share bathrooms and locker rooms 797 00:46:07,600 --> 00:46:12,000 Speaker 1: against their will with the opposite sex. It's absolutely insane. 798 00:46:12,320 --> 00:46:13,880 Speaker 1: I mean, it truly is. I mean, Steve and I 799 00:46:13,960 --> 00:46:17,000 Speaker 1: we were talking with Senator Ron Johnson just last hour, 800 00:46:17,560 --> 00:46:19,560 Speaker 1: and I don't know that we ever would have ended 801 00:46:19,640 --> 00:46:23,200 Speaker 1: up in a situation where you have to in order 802 00:46:23,280 --> 00:46:25,759 Speaker 1: to be able to get a Democrat nomination for the 803 00:46:25,880 --> 00:46:28,719 Speaker 1: state or Senate, you have to be willing to not 804 00:46:29,120 --> 00:46:33,320 Speaker 1: say that only women can get pregnant, like you have 805 00:46:33,520 --> 00:46:36,000 Speaker 1: to say men can get pregnant, or they will not 806 00:46:36,200 --> 00:46:40,120 Speaker 1: nominate you, basically for a statewide or certainly national office. 807 00:46:40,200 --> 00:46:44,200 Speaker 1: Now it's become the most important litmus tests in America. Yeah, 808 00:46:44,320 --> 00:46:46,600 Speaker 1: we would be wise to use it in reverse, which 809 00:46:46,600 --> 00:46:49,160 Speaker 1: is the state of the American people do not support 810 00:46:49,280 --> 00:46:52,800 Speaker 1: any person for any position of power anywhere in this country, 811 00:46:53,120 --> 00:46:55,879 Speaker 1: from your school board to the office of the presidency, 812 00:46:56,239 --> 00:46:58,200 Speaker 1: if they are not prepared to say that only women 813 00:46:58,400 --> 00:47:01,719 Speaker 1: can get pregnant. This wild that we ever got. This 814 00:47:01,840 --> 00:47:03,960 Speaker 1: is this is now. We're now on the cutting edge 815 00:47:04,000 --> 00:47:06,600 Speaker 1: of conservative theory here, but just saying only men can 816 00:47:06,640 --> 00:47:08,680 Speaker 1: get pregnant, Clay, this is where we are. Only women 817 00:47:08,719 --> 00:47:12,040 Speaker 1: could get press You got crossed over. Had Bucks gonna 818 00:47:12,040 --> 00:47:16,160 Speaker 1: be the nominee for the Democratic Only women could get pregnant? Sorry? Sorry, 819 00:47:17,120 --> 00:47:20,160 Speaker 1: last question about this that I encouraged everyone to think 820 00:47:20,160 --> 00:47:23,600 Speaker 1: about today, which it was a picture of someone trying 821 00:47:23,640 --> 00:47:26,240 Speaker 1: to get off the Titanic. I shared it this morning. 822 00:47:26,480 --> 00:47:29,040 Speaker 1: It's so good. Yes, the only women and children can leave. 823 00:47:29,120 --> 00:47:31,319 Speaker 1: And then the gentleman said someone to the effect of, oh, 824 00:47:31,400 --> 00:47:34,879 Speaker 1: I'm trans. How was the Titanic evacuation? Who weren't if 825 00:47:34,960 --> 00:47:38,759 Speaker 1: the trans aeology have been in place back then. Is 826 00:47:39,440 --> 00:47:41,680 Speaker 1: such a great meme for people out there who remember 827 00:47:41,760 --> 00:47:45,279 Speaker 1: the movie Titanic. The bad guy in Titanic is trying 828 00:47:45,320 --> 00:47:47,879 Speaker 1: to get on the lifeboats and the guy says only 829 00:47:47,960 --> 00:47:50,440 Speaker 1: women and children, and then the next shot is him 830 00:47:50,480 --> 00:47:53,479 Speaker 1: saying I'm trans, and then I mean it is really 831 00:47:53,560 --> 00:47:56,600 Speaker 1: it's ridiculous and funny one, but what would you do that? 832 00:47:56,840 --> 00:47:59,279 Speaker 1: One of Billy Zane's better moments in film is when 833 00:47:59,360 --> 00:48:01,560 Speaker 1: they say the people on the ship are going to drown. 834 00:48:01,680 --> 00:48:05,040 Speaker 1: He's like nothing better half. By the way, he definitely's 835 00:48:05,040 --> 00:48:08,240 Speaker 1: a Biden voter. I'm just gonna say it. Oh my goodness, 836 00:48:08,440 --> 00:48:10,960 Speaker 1: ed is a fantastic line. Steven. We appreciate the time, 837 00:48:11,440 --> 00:48:14,359 Speaker 1: keep up the good work. Thank you, touch soon. Claim 838 00:48:14,400 --> 00:48:17,120 Speaker 1: we got some breaking news, buddy, I haven't told you what. 839 00:48:17,200 --> 00:48:19,400 Speaker 1: There's some breaking news. Could could be kind of a 840 00:48:19,480 --> 00:48:22,080 Speaker 1: big deal. That's what we call a vague teas. What 841 00:48:22,160 --> 00:48:23,799 Speaker 1: do you think that is a vague teas. Indeed, I'm 842 00:48:23,840 --> 00:48:26,200 Speaker 1: looking up. I'm like, oh, man, I got so wrapped up, 843 00:48:26,239 --> 00:48:27,600 Speaker 1: and how good that meme was. I don't even know 844 00:48:27,640 --> 00:48:30,200 Speaker 1: what the breaking news is myself. It involves nukes. I 845 00:48:30,280 --> 00:48:33,640 Speaker 1: can tell you that. Oh that, well that sounds pretty serious. Well, 846 00:48:33,760 --> 00:48:36,120 Speaker 1: let me tell you this. This is nowhere near as serious. 847 00:48:36,239 --> 00:48:37,880 Speaker 1: But I went. I had an awesome time. I was 848 00:48:37,920 --> 00:48:40,680 Speaker 1: down in Orlando, Florida, over the weekend. A couple of 849 00:48:40,760 --> 00:48:43,680 Speaker 1: my friends from law school have now been married twenty years. 850 00:48:44,040 --> 00:48:48,440 Speaker 1: We went to celebrate with him. Congratulations to Chad and 851 00:48:48,560 --> 00:48:51,880 Speaker 1: Rachel Cruz by the way in Orlando. And while I 852 00:48:51,960 --> 00:48:53,279 Speaker 1: was there, you know what I did, Buck, I wore 853 00:48:53,360 --> 00:48:58,520 Speaker 1: my Wolf and Shepherd shoes out to my party, and man, 854 00:48:58,880 --> 00:49:03,560 Speaker 1: they were all shoes comfortable s sneakers, but have the 855 00:49:03,760 --> 00:49:07,399 Speaker 1: great look and finishes of Italian leather on the top. 856 00:49:07,480 --> 00:49:10,960 Speaker 1: Founders a former track athlete and a shoe designer, shoe 857 00:49:11,320 --> 00:49:14,239 Speaker 1: is phenomenal. They are so comfortable, whether you are going 858 00:49:14,320 --> 00:49:17,080 Speaker 1: out for an event like I was at a twentieth 859 00:49:17,280 --> 00:49:20,359 Speaker 1: anniversary party for a couple, whether you're going to work, 860 00:49:20,719 --> 00:49:22,640 Speaker 1: whether you're just going out to an event and you're 861 00:49:22,760 --> 00:49:25,200 Speaker 1: a woman out there and you don't trust the choices 862 00:49:25,239 --> 00:49:27,600 Speaker 1: that your man is gonna make. And I know there 863 00:49:27,600 --> 00:49:28,880 Speaker 1: are a lot of you when it comes to what 864 00:49:29,040 --> 00:49:31,040 Speaker 1: he is gonna wear. You need to get in the 865 00:49:31,160 --> 00:49:34,560 Speaker 1: wolf pack and join Wolf and Shepherd. You will love them. 866 00:49:34,760 --> 00:49:38,400 Speaker 1: They are really a game changer. Rob Gronkowski wears him, 867 00:49:38,440 --> 00:49:40,120 Speaker 1: He's gonna be in the NFL Hall of Fame. Clay 868 00:49:40,160 --> 00:49:42,399 Speaker 1: Travis and Buck Sexton to wear him, and well maybe 869 00:49:42,440 --> 00:49:44,000 Speaker 1: one day we'll be in the Radio Hall of Fame. 870 00:49:44,120 --> 00:49:46,319 Speaker 1: You can join the pack at Wolf and Shepherd dot com. 871 00:49:46,520 --> 00:49:50,279 Speaker 1: No promo code needed. Visit Wolf and Shepherd dot com. 872 00:49:50,480 --> 00:49:53,560 Speaker 1: That is spelled sh E p h e r D. 873 00:49:53,840 --> 00:49:54,560 Speaker 1: Do it today.