1 00:00:00,160 --> 00:00:01,960 Speaker 1: All right, we got the second hour of Clay end 2 00:00:02,000 --> 00:00:06,880 Speaker 1: Buck and we're diving into the situation of ICE facing 3 00:00:06,920 --> 00:00:12,160 Speaker 1: off with the street communists doing all kinds of nonsense 4 00:00:12,240 --> 00:00:16,400 Speaker 1: up in Minneapolis trying to prevent the deportation excuse me, 5 00:00:16,520 --> 00:00:20,520 Speaker 1: the deportation operations from taking effect. We'll give you the 6 00:00:20,600 --> 00:00:24,000 Speaker 1: latest on this. We should be joined here shortly by 7 00:00:24,360 --> 00:00:29,080 Speaker 1: a senior member of the ICE team talk to us 8 00:00:29,120 --> 00:00:29,960 Speaker 1: about what's going on. 9 00:00:30,080 --> 00:00:31,479 Speaker 2: So we're looking forward to that. 10 00:00:32,040 --> 00:00:36,240 Speaker 1: And in the meantime, look, there's a lot of people 11 00:00:36,280 --> 00:00:39,239 Speaker 1: that are trying to make this about they don't like 12 00:00:39,479 --> 00:00:41,880 Speaker 1: the way this is being done. You're gonna hear a 13 00:00:41,880 --> 00:00:44,640 Speaker 1: lot about this, and they're gonna say it's profile, they 14 00:00:44,720 --> 00:00:46,880 Speaker 1: say it's mean, they're gonna say it's all these different things. 15 00:00:47,720 --> 00:00:52,519 Speaker 1: What is the alternative in a country where Democrat cities 16 00:00:52,680 --> 00:00:57,600 Speaker 1: and states, Democrat controlled cities and states actively thward immigration 17 00:00:57,760 --> 00:01:02,880 Speaker 1: enforcement and because money is fungible federal dollars. I mean, 18 00:01:02,880 --> 00:01:05,639 Speaker 1: if you can live in the reddest state in the country, 19 00:01:05,680 --> 00:01:07,720 Speaker 1: which I think is Wyoming by the numbers, Does that 20 00:01:07,800 --> 00:01:08,200 Speaker 1: sound right? 21 00:01:08,240 --> 00:01:11,520 Speaker 2: I think Wyoming is technically the reddest state. Is that right? 22 00:01:11,560 --> 00:01:11,760 Speaker 3: Now? 23 00:01:11,840 --> 00:01:12,919 Speaker 2: You're you're looking at me kind. 24 00:01:12,760 --> 00:01:14,880 Speaker 4: Of well, I'm trying to remember. I think Wyoming in 25 00:01:14,920 --> 00:01:17,440 Speaker 4: West Virginia were the two that Trump won by the 26 00:01:17,520 --> 00:01:21,080 Speaker 4: largest majorities in the country in twenty twenty four, so 27 00:01:21,200 --> 00:01:24,399 Speaker 4: I think that's probably. But I think they've gone back 28 00:01:24,440 --> 00:01:26,840 Speaker 4: and forth a couple of times. The team can look 29 00:01:26,880 --> 00:01:29,959 Speaker 4: that up. I'll grock it while you continue to tess close. Yeah, 30 00:01:30,440 --> 00:01:31,240 Speaker 4: grock is amazing. 31 00:01:31,280 --> 00:01:33,920 Speaker 1: It allows us to fact check in real time and 32 00:01:34,440 --> 00:01:36,880 Speaker 1: to always be able to update with the things that 33 00:01:36,920 --> 00:01:39,280 Speaker 1: we say, because when you're speaking extemporaneously for three hours 34 00:01:39,280 --> 00:01:41,280 Speaker 1: on end, you're trying to throw facts and figures out there. 35 00:01:41,360 --> 00:01:41,759 Speaker 2: Guess what. 36 00:01:42,040 --> 00:01:46,000 Speaker 1: Occasionally even we will be a little bit off. But 37 00:01:46,120 --> 00:01:51,920 Speaker 1: in the meantime, I think Clay that people recognize the 38 00:01:52,320 --> 00:01:55,960 Speaker 1: ice enforcement operations that are underway. The people that are 39 00:01:56,000 --> 00:02:00,200 Speaker 1: complaining about how they are being done don't want them 40 00:02:00,280 --> 00:02:03,760 Speaker 1: done at all. And this is so there's a bad 41 00:02:03,960 --> 00:02:08,760 Speaker 1: faith criticism that's going on here. It's that they're saying, oh, 42 00:02:08,760 --> 00:02:10,800 Speaker 1: they're wearing masks and it's scary. 43 00:02:11,520 --> 00:02:13,400 Speaker 2: But the truth, I mean, here, here you go. 44 00:02:13,480 --> 00:02:17,519 Speaker 1: Here's Hakim, Here's Hakim Jeffries, Here's Rakiem Jeffrey saying that 45 00:02:17,520 --> 00:02:20,040 Speaker 1: the ICE is like a rogue elephant, you know, trampling 46 00:02:20,040 --> 00:02:21,640 Speaker 1: the constitution, all that kind of stuff. 47 00:02:21,680 --> 00:02:22,079 Speaker 2: Play eight. 48 00:02:22,440 --> 00:02:28,160 Speaker 5: American people deserve Immigration and Customs enforcement agency that conducts 49 00:02:28,160 --> 00:02:32,119 Speaker 5: itself in a manner consistent with every other law enforcement 50 00:02:32,160 --> 00:02:35,080 Speaker 5: agency in the country. That is not too much to 51 00:02:35,120 --> 00:02:38,040 Speaker 5: ask in the United States of America. But ICE is 52 00:02:38,320 --> 00:02:42,480 Speaker 5: totally out of control, using taxpayer dollars to brutalize American 53 00:02:42,560 --> 00:02:44,919 Speaker 5: citizens and law abiding immigrant families. 54 00:02:46,440 --> 00:02:49,680 Speaker 1: Clay, they don't want this to actually be done. That's 55 00:02:49,720 --> 00:02:51,480 Speaker 1: really the problem. Do we have Tricia, you gave me 56 00:02:51,520 --> 00:02:53,000 Speaker 1: the point. I'm not sure I've. 57 00:02:52,880 --> 00:02:54,880 Speaker 4: Got the data from GROC, so I was going to 58 00:02:54,919 --> 00:02:58,320 Speaker 4: give you rock data. Okay, rock data. You are correct. 59 00:02:59,120 --> 00:03:02,480 Speaker 4: Wyoming Trump won by forty six points. 60 00:03:02,680 --> 00:03:05,760 Speaker 2: I'm gonna make that my ringtone play saying you are correct. 61 00:03:06,040 --> 00:03:06,640 Speaker 2: That was great. 62 00:03:07,040 --> 00:03:11,560 Speaker 4: West Virginia I was kind of correct, second place forty two. 63 00:03:12,200 --> 00:03:14,040 Speaker 4: And then for those of you out there who wonder, 64 00:03:14,240 --> 00:03:18,600 Speaker 4: North Dakota Trump won by thirty seven, Iowa Trump won 65 00:03:18,720 --> 00:03:23,040 Speaker 4: by right around thirty six to thirty seven, and Oklahoma 66 00:03:23,320 --> 00:03:27,280 Speaker 4: Republican plus thirty four, according to GROC, would be the 67 00:03:27,320 --> 00:03:32,480 Speaker 4: five trumpiest of Trump states in America. Using his election 68 00:03:32,680 --> 00:03:36,360 Speaker 4: victory most recently as a proxy for redness. Those are 69 00:03:36,400 --> 00:03:40,680 Speaker 4: the five most diehard Republican states in the country right now. 70 00:03:41,160 --> 00:03:46,480 Speaker 4: So yeah, I mean, look, I think the challenge that 71 00:03:46,560 --> 00:03:49,680 Speaker 4: Democrats have is and I think we have this cut 72 00:03:50,280 --> 00:03:54,920 Speaker 4: Democrats are not even popular with Democrats. In fact, I'll 73 00:03:54,920 --> 00:03:56,840 Speaker 4: pull this up in a sec. This was Harry Inton 74 00:03:56,960 --> 00:04:01,600 Speaker 4: on CNN pointing out that Democrat pull numbers. Democrats are 75 00:04:01,640 --> 00:04:04,520 Speaker 4: actually very frustrated with Democrats cut fourteen. 76 00:04:04,920 --> 00:04:05,880 Speaker 2: Hey, look at. 77 00:04:05,800 --> 00:04:11,360 Speaker 6: How Democrats who disapprove of congressional Democratic leaders. Hello, we're 78 00:04:11,400 --> 00:04:14,880 Speaker 6: talking about fifty seven percent in January twenty twenty six, 79 00:04:15,080 --> 00:04:19,159 Speaker 6: the second highest disapproval rate for Democratic leaders from their 80 00:04:19,200 --> 00:04:22,160 Speaker 6: own party on record. It's only beat by what we 81 00:04:22,200 --> 00:04:24,719 Speaker 6: saw earlier on in this Congress, when it was sixty 82 00:04:24,720 --> 00:04:29,240 Speaker 6: one percent. There's basically been no improvement. Democrats hate their 83 00:04:29,279 --> 00:04:33,640 Speaker 6: own congressional leaders. These numbers are awful, awful, awful. 84 00:04:34,760 --> 00:04:36,000 Speaker 2: I think that's kind of tough. 85 00:04:36,560 --> 00:04:38,960 Speaker 4: It's one thing to have people who are the opposing 86 00:04:39,040 --> 00:04:42,040 Speaker 4: party disagree with you, but even Democrats are looking at 87 00:04:42,040 --> 00:04:45,719 Speaker 4: their Democrat congressional leaders and saying, we hate you, we 88 00:04:45,839 --> 00:04:49,520 Speaker 4: cannot stand what you are able to do. 89 00:04:50,120 --> 00:04:52,880 Speaker 1: The data that you always have to set alongside that, Clay, 90 00:04:52,880 --> 00:04:55,000 Speaker 1: because I just after a while, I feel like this 91 00:04:55,080 --> 00:04:57,200 Speaker 1: is it becomes a little tiresome to hear this stuff 92 00:04:57,200 --> 00:05:00,320 Speaker 1: from people to complaints, Oh I hate Democrats, that's hight. 93 00:05:00,360 --> 00:05:03,320 Speaker 1: I hate Republicans in Congress. Then you say, okay, how 94 00:05:03,320 --> 00:05:06,240 Speaker 1: do you feel about your rep? Yeah, And what's really 95 00:05:06,279 --> 00:05:08,240 Speaker 1: interesting is how many people go, well, well, I love 96 00:05:08,400 --> 00:05:09,120 Speaker 1: my rep. 97 00:05:09,200 --> 00:05:11,720 Speaker 4: Is good, or even more so, I don't even know 98 00:05:11,720 --> 00:05:15,000 Speaker 4: who my rep is. Yeah, that's actually more common. Yes, 99 00:05:15,320 --> 00:05:17,680 Speaker 4: most people don't even know who their congress person is. 100 00:05:17,880 --> 00:05:20,839 Speaker 4: I mean, and that is why, to a certain extent, 101 00:05:20,880 --> 00:05:22,720 Speaker 4: we get the results we do, because a lot of 102 00:05:22,760 --> 00:05:24,960 Speaker 4: people don't even know who they're voting for when it 103 00:05:24,960 --> 00:05:28,360 Speaker 4: comes to actually going out and representing them. 104 00:05:28,880 --> 00:05:29,280 Speaker 2: I have one. 105 00:05:29,480 --> 00:05:31,200 Speaker 1: I have one of the true greats, Clay. I have 106 00:05:31,360 --> 00:05:39,320 Speaker 1: Congresswoman Frederica Wilson, Democrat. She is my congresswoman. Wow, there 107 00:05:39,360 --> 00:05:41,479 Speaker 1: you go. You told me about this before. She's the 108 00:05:41,520 --> 00:05:42,599 Speaker 1: cowboy wearing. 109 00:05:43,640 --> 00:05:45,080 Speaker 2: Where's the cowboy? Where's Well? 110 00:05:45,160 --> 00:05:48,680 Speaker 1: Yes, frequently in cowboy hats, but always has a a 111 00:05:49,360 --> 00:05:52,760 Speaker 1: kind of festive hat on. Yes, by the way, I 112 00:05:52,760 --> 00:05:57,279 Speaker 1: think we have we're waiting on Trisiam McLaughlin. I will 113 00:05:57,320 --> 00:05:59,640 Speaker 1: text her here in a second, see what we've got 114 00:05:59,640 --> 00:06:00,520 Speaker 1: going on there. 115 00:06:00,960 --> 00:06:03,760 Speaker 2: But I did want to play. We mentioned that JD. 116 00:06:03,880 --> 00:06:07,320 Speaker 4: Vance was speech speaking at the March four Life event, 117 00:06:08,000 --> 00:06:09,800 Speaker 4: and we haven't mentioned this on the show since I 118 00:06:09,920 --> 00:06:13,559 Speaker 4: didn't deliver very good positive news. As we finished the hour, 119 00:06:13,839 --> 00:06:16,560 Speaker 4: this is very positive news. Congratulations to JD and his 120 00:06:16,600 --> 00:06:20,920 Speaker 4: wife Usha. They are having a fourth child in July, 121 00:06:22,360 --> 00:06:23,000 Speaker 4: baby boy. 122 00:06:23,320 --> 00:06:27,159 Speaker 2: And JD. Vance addressed this cut thirty how. 123 00:06:27,040 --> 00:06:29,839 Speaker 7: Some of you may remember that in my remarks last year, 124 00:06:30,360 --> 00:06:32,400 Speaker 7: I told you all that one of the things I 125 00:06:32,640 --> 00:06:36,240 Speaker 7: most wanted in the United States of America was more 126 00:06:36,320 --> 00:06:44,080 Speaker 7: families and more babies. So let the record show you 127 00:06:44,160 --> 00:06:46,719 Speaker 7: have a vice president who practices. 128 00:06:46,240 --> 00:06:50,080 Speaker 2: What he preaches. So there you go. 129 00:06:50,160 --> 00:06:51,840 Speaker 4: I mean, we had not mentioned it, but I do 130 00:06:51,880 --> 00:06:55,880 Speaker 4: think that is certainly something very worthy of celebration, and 131 00:06:55,960 --> 00:06:58,320 Speaker 4: I think that this will be the first time that 132 00:06:58,400 --> 00:07:02,280 Speaker 4: a vice president had has had a baby while in 133 00:07:02,440 --> 00:07:07,520 Speaker 4: office since the eighteen seventies. Was the stat that I 134 00:07:07,600 --> 00:07:11,559 Speaker 4: saw on that which I think speaks, you know, quite 135 00:07:11,560 --> 00:07:16,520 Speaker 4: clearly to the fact that things are you know, at 136 00:07:16,600 --> 00:07:20,120 Speaker 4: least in the context of this White House. You got 137 00:07:20,160 --> 00:07:22,800 Speaker 4: Caroline Levitt having a baby. You got jd Vance having 138 00:07:22,800 --> 00:07:25,880 Speaker 4: a baby. Several people out there, I think Katie and 139 00:07:25,960 --> 00:07:30,600 Speaker 4: Stephen Miller are having another baby. Having kids is the 140 00:07:30,760 --> 00:07:34,120 Speaker 4: ultimate vote of confidence, in my opinion, in the future. 141 00:07:34,800 --> 00:07:39,240 Speaker 4: And we do need more families and more babies in 142 00:07:39,280 --> 00:07:47,040 Speaker 4: this country, and unfortunately we have had a huge dearth 143 00:07:47,200 --> 00:07:50,280 Speaker 4: of children. And I think it goes to the fact 144 00:07:50,280 --> 00:07:53,200 Speaker 4: that Democrats have convinced a lot of people that children 145 00:07:53,240 --> 00:07:55,960 Speaker 4: are awful and they're not worth the time, and you're 146 00:07:56,000 --> 00:07:58,400 Speaker 4: making the world a worst place when you have a baby. 147 00:07:58,440 --> 00:08:01,679 Speaker 4: And that's the ultimate to me sign of a failed 148 00:08:01,880 --> 00:08:04,960 Speaker 4: argument and a failed culture when you don't want more children. 149 00:08:05,680 --> 00:08:08,440 Speaker 1: I know this is a maybe sounds like a fringe argument, 150 00:08:08,480 --> 00:08:10,760 Speaker 1: and at some level it is, but it's definitely pushed 151 00:08:10,760 --> 00:08:11,400 Speaker 1: by the media. 152 00:08:12,160 --> 00:08:13,480 Speaker 2: Can you imagine if you're one of these. 153 00:08:13,400 --> 00:08:16,240 Speaker 1: People who has been quoted, who have been quoted in 154 00:08:16,280 --> 00:08:20,280 Speaker 1: these articles in not the immediate recent years, but five 155 00:08:20,360 --> 00:08:23,920 Speaker 1: years ago, ten years ago, who were saying that they 156 00:08:23,960 --> 00:08:26,800 Speaker 1: didn't want to have kids because of the carbon impact 157 00:08:26,920 --> 00:08:30,400 Speaker 1: and because of climate change. Imagine that that's your belief, 158 00:08:30,400 --> 00:08:35,160 Speaker 1: but now you realize, well, you've been had. Climate change 159 00:08:35,240 --> 00:08:37,840 Speaker 1: is a joke. It doesn't mean anything climate. The climate 160 00:08:37,880 --> 00:08:40,440 Speaker 1: is always changing. The climate is fine, the earth is 161 00:08:40,480 --> 00:08:43,360 Speaker 1: not melting, the seas are not rising. It was all 162 00:08:43,559 --> 00:08:47,240 Speaker 1: a scam. It's really like some of these left wing 163 00:08:47,320 --> 00:08:51,520 Speaker 1: beliefs actually, most, if not all, when you break them 164 00:08:51,559 --> 00:08:57,200 Speaker 1: down to their effect, their impact on people cruel. So 165 00:08:57,240 --> 00:08:59,199 Speaker 1: a lot of they think they're the nice ones, but 166 00:08:59,240 --> 00:09:02,560 Speaker 1: they're actually cruel in the outcomes. You know, they think 167 00:09:02,600 --> 00:09:04,319 Speaker 1: that the nice ones by letting people out of prison, 168 00:09:04,320 --> 00:09:06,600 Speaker 1: for example, or not putting people in prison, and then 169 00:09:06,679 --> 00:09:11,040 Speaker 1: terrible things happen because there's a criminal class in this country. Unfortunately, 170 00:09:11,040 --> 00:09:13,160 Speaker 1: there are some people who do very bad things. 171 00:09:14,160 --> 00:09:19,000 Speaker 4: I do think that that that's well said, and I 172 00:09:19,040 --> 00:09:24,440 Speaker 4: think unfortunately people refuse to recognize that they might be wrong. 173 00:09:25,480 --> 00:09:29,360 Speaker 4: And because if you did. If you are forty five, 174 00:09:29,720 --> 00:09:32,200 Speaker 4: let's say you're around my age, and you never had 175 00:09:32,240 --> 00:09:37,160 Speaker 4: any kids, and you are a diehard commalist supporter and 176 00:09:37,960 --> 00:09:40,360 Speaker 4: you had to and one reason you didn't have kids 177 00:09:40,400 --> 00:09:42,920 Speaker 4: was because you believe the climate was in an existential 178 00:09:42,960 --> 00:09:45,360 Speaker 4: crisis and the best thing you could do for the 179 00:09:45,400 --> 00:09:49,280 Speaker 4: future of humanity was actually not to have children. Are 180 00:09:49,360 --> 00:09:51,640 Speaker 4: you suddenly going to realize that you made all the 181 00:09:51,640 --> 00:09:54,080 Speaker 4: wrong choices in your life when you're in your mid 182 00:09:54,120 --> 00:09:57,160 Speaker 4: forties and it's difficult or impossible for you to have children, 183 00:09:57,760 --> 00:10:02,080 Speaker 4: or are you going to double, triple, quadruple down on 184 00:10:02,160 --> 00:10:05,679 Speaker 4: your wrongness because it's too difficult to stare into the 185 00:10:05,679 --> 00:10:09,040 Speaker 4: mirror and recognize that you might have been the rube, 186 00:10:09,320 --> 00:10:12,920 Speaker 4: that you might have made poor life choices. I think, unfortunately, 187 00:10:12,920 --> 00:10:14,920 Speaker 4: it's the latter, and I think that's one reason why 188 00:10:15,000 --> 00:10:17,960 Speaker 4: you're seeing such a strong base in the Democrat Party 189 00:10:18,400 --> 00:10:23,559 Speaker 4: for childless women, which is the number one voting block 190 00:10:23,600 --> 00:10:27,959 Speaker 4: of Democrats across the country. It's because, as they age, 191 00:10:28,080 --> 00:10:31,280 Speaker 4: if you're a childless woman and you convinced yourself that 192 00:10:31,360 --> 00:10:34,000 Speaker 4: you were making the right choice by not having children, 193 00:10:34,800 --> 00:10:37,160 Speaker 4: you either have to recognize that you may have made 194 00:10:37,240 --> 00:10:42,360 Speaker 4: an awful choice in your life, or you have to 195 00:10:42,400 --> 00:10:46,200 Speaker 4: double and triple down and make politics your life's mission 196 00:10:46,280 --> 00:10:48,640 Speaker 4: because there is nothing else. And when you really think 197 00:10:48,640 --> 00:10:52,640 Speaker 4: about it from that context, becomes really kind of awfully. 198 00:10:52,200 --> 00:10:53,680 Speaker 2: Sad, and I can't wait. 199 00:10:53,720 --> 00:10:56,320 Speaker 4: You know, we're dealing here with this awful winter storm, 200 00:10:56,360 --> 00:10:58,480 Speaker 4: which is going to be one of the worst winter storms. 201 00:10:58,840 --> 00:11:02,040 Speaker 4: It looks like potentially in decades for many parts of 202 00:11:02,040 --> 00:11:04,840 Speaker 4: the country. I was reading the New York Times today 203 00:11:04,880 --> 00:11:07,800 Speaker 4: and I was expecting to see it. I guarantee you 204 00:11:07,920 --> 00:11:11,920 Speaker 4: on the front page of the New York Times either Saturday, 205 00:11:11,960 --> 00:11:12,880 Speaker 4: Sunday or Monday. 206 00:11:13,200 --> 00:11:16,520 Speaker 1: Buck a snowstorm dis proportionately affects women in minorities. 207 00:11:16,760 --> 00:11:19,839 Speaker 4: Oh, that's funny. I wasn't gonna go that far, although 208 00:11:19,840 --> 00:11:22,960 Speaker 4: that probably will come. No, no, no, that the snowstorm 209 00:11:23,160 --> 00:11:25,960 Speaker 4: and the extreme cold and the fact that we had 210 00:11:26,000 --> 00:11:27,600 Speaker 4: this event is a sign. 211 00:11:27,440 --> 00:11:31,000 Speaker 2: Of global warming. There will be you know, just because 212 00:11:31,000 --> 00:11:31,680 Speaker 2: it's cold. 213 00:11:32,240 --> 00:11:38,320 Speaker 4: Actually, you know, every irregular or somewhat strange weather pattern 214 00:11:38,840 --> 00:11:41,760 Speaker 4: is a sign of global warming. Did you notice, by 215 00:11:41,800 --> 00:11:45,000 Speaker 4: the way, we didn't have a single hurricane hit the 216 00:11:45,080 --> 00:11:48,960 Speaker 4: United States this past year. There was actually article saying, well, 217 00:11:49,320 --> 00:11:53,199 Speaker 4: sometimes lack of hurricanes can be a sign of global warming. 218 00:11:53,480 --> 00:11:57,920 Speaker 4: So whatever occurs in the weather is front page news 219 00:11:58,080 --> 00:12:01,440 Speaker 4: of how global weather can can be impactful. 220 00:12:01,440 --> 00:12:03,199 Speaker 1: Well, that's why they change it to climate changes. We 221 00:12:03,280 --> 00:12:05,520 Speaker 1: all know it was global warming. And I know this 222 00:12:05,520 --> 00:12:09,040 Speaker 1: feels like ancient history now, but think about this. Global 223 00:12:09,040 --> 00:12:13,560 Speaker 1: warming indicates that there's only one trajectory getting warmer. But 224 00:12:13,640 --> 00:12:16,679 Speaker 1: they couldn't mess with the numbers enough to prove that. 225 00:12:17,200 --> 00:12:19,640 Speaker 1: So then they turn it to climate change, which is 226 00:12:19,679 --> 00:12:22,120 Speaker 1: another way of saying clay, whether it goes up or 227 00:12:22,200 --> 00:12:28,160 Speaker 1: goes down, it is climate disruption. Therefore it's also known 228 00:12:28,160 --> 00:12:30,640 Speaker 1: as weather. And those of us who had the ability 229 00:12:30,679 --> 00:12:33,200 Speaker 1: to you know, at some point you're you're a person 230 00:12:33,800 --> 00:12:36,800 Speaker 1: who just you sit there in your chair, and no 231 00:12:36,800 --> 00:12:38,800 Speaker 1: matter how many times someone looks you in the eyes 232 00:12:38,840 --> 00:12:41,840 Speaker 1: and says you're not on a chair, you know that 233 00:12:41,880 --> 00:12:43,720 Speaker 1: you are, and you don't care what they say. You 234 00:12:43,760 --> 00:12:46,200 Speaker 1: want to be those people. If you're listening to the show, 235 00:12:46,240 --> 00:12:48,200 Speaker 1: you're one of those people. And actually, this is what 236 00:12:48,240 --> 00:12:52,200 Speaker 1: I get into in my book Manufacturing Delusion, that everyone 237 00:12:52,240 --> 00:12:52,800 Speaker 1: should go. 238 00:12:52,800 --> 00:12:54,800 Speaker 4: By and make sure they get on the release date 239 00:12:54,840 --> 00:12:55,760 Speaker 4: coming up next month. 240 00:12:56,600 --> 00:13:01,640 Speaker 1: The Left uses brainwashing, indoctrination and again against you. They 241 00:13:01,679 --> 00:13:03,920 Speaker 1: want to tell you you're not sitting in a chair 242 00:13:04,400 --> 00:13:07,319 Speaker 1: when you're sitting in a chair. And there's a way 243 00:13:07,400 --> 00:13:09,480 Speaker 1: they do this, and there are reasons they do this. 244 00:13:09,920 --> 00:13:11,640 Speaker 1: Go get the book, you'll learn about all of it. 245 00:13:12,320 --> 00:13:14,960 Speaker 4: Tricia mcglauckalin texted me she will be with us at 246 00:13:15,000 --> 00:13:18,160 Speaker 4: one p thirty four, right at the bottom of the hour. 247 00:13:18,360 --> 00:13:21,920 Speaker 4: On the absolute latest having to do with ice Minneapolis 248 00:13:22,000 --> 00:13:25,440 Speaker 4: and more. Also Brendan Carr, Commissioner of the FCC, Top 249 00:13:25,480 --> 00:13:28,200 Speaker 4: of the next hour, and Mary Margaret Ohahan. So we 250 00:13:28,240 --> 00:13:30,439 Speaker 4: got a bunch of guests coming your way and we'll 251 00:13:30,480 --> 00:13:32,520 Speaker 4: take some of your calls in the midst of all 252 00:13:32,559 --> 00:13:32,840 Speaker 4: that too. 253 00:13:32,960 --> 00:13:35,079 Speaker 2: Eight hundred and two A two to two eight A two. 254 00:13:36,280 --> 00:13:38,720 Speaker 1: It is our sincere hope that everyone in the path 255 00:13:38,760 --> 00:13:40,480 Speaker 1: of the winter storm that's going to be affecting so 256 00:13:40,559 --> 00:13:42,720 Speaker 1: much of the country this weekend is safe, off the 257 00:13:42,800 --> 00:13:46,400 Speaker 1: roads and in contact with their families. Storms like these 258 00:13:46,520 --> 00:13:49,920 Speaker 1: can cause disruption to utility services, among other interruptions in 259 00:13:50,120 --> 00:13:52,320 Speaker 1: day to day life. 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Rapid Radios 275 00:14:39,960 --> 00:14:43,440 Speaker 1: communication redefined stories. 276 00:14:43,000 --> 00:14:48,240 Speaker 8: Of freedom, stories of America, inspirational stories that you unite. 277 00:14:48,040 --> 00:14:49,120 Speaker 2: Us all each day. 278 00:14:49,320 --> 00:14:52,560 Speaker 8: Spend time with Clay and buy find them on the 279 00:14:52,600 --> 00:14:56,119 Speaker 8: free iHeartRadio app or wherever you get your podcast. 280 00:14:56,800 --> 00:15:00,920 Speaker 4: Welcome back in Clay Travis bock Sexton Show. We appreciate 281 00:15:01,000 --> 00:15:03,520 Speaker 4: all of you hanging out with us as we are 282 00:15:03,600 --> 00:15:08,440 Speaker 4: rolling through the program here, and we've got a lot 283 00:15:08,480 --> 00:15:11,400 Speaker 4: of different people who want to wake I think Joe's 284 00:15:11,440 --> 00:15:12,360 Speaker 4: got a good point here. 285 00:15:12,840 --> 00:15:14,760 Speaker 2: Actually up in New Jersey. 286 00:15:14,880 --> 00:15:17,800 Speaker 4: Joe, we talked about the arrest in Minneapolis, but the 287 00:15:17,880 --> 00:15:22,720 Speaker 4: videos that went viral showed them pointing something out here. 288 00:15:23,200 --> 00:15:26,120 Speaker 4: Thanks for calling in on the Friday edition of the program. 289 00:15:26,680 --> 00:15:28,880 Speaker 9: Yeah, and no problem. I'm glad you took my call. 290 00:15:29,040 --> 00:15:29,240 Speaker 8: Yeah. 291 00:15:29,240 --> 00:15:33,600 Speaker 6: I just find it incredible that this woman Armstrong who 292 00:15:33,720 --> 00:15:35,640 Speaker 6: was arrested, you know her version. 293 00:15:35,720 --> 00:15:38,240 Speaker 9: We went and we sat down for part of the service. 294 00:15:38,680 --> 00:15:41,960 Speaker 5: Then she's still shouting hands up, don't shoot. 295 00:15:42,680 --> 00:15:46,600 Speaker 3: Yes is this and there's still people that still believe 296 00:15:46,680 --> 00:15:47,520 Speaker 3: that is the truth. 297 00:15:47,600 --> 00:15:50,840 Speaker 9: It's it's to me, it's just incredible, you know. 298 00:15:51,720 --> 00:15:53,600 Speaker 2: It's this is thank you for the call. 299 00:15:53,760 --> 00:15:56,160 Speaker 4: I think this is important, Buck, because it'll happen with 300 00:15:56,200 --> 00:15:59,160 Speaker 4: the five year old and a lot of other stories 301 00:15:59,200 --> 00:16:03,240 Speaker 4: that justin Wing. There is a huge amount of public 302 00:16:03,440 --> 00:16:08,920 Speaker 4: disinformation that Democrats are phenomenally good at getting ingrained into 303 00:16:08,960 --> 00:16:13,200 Speaker 4: the overall narrative cycle so that it stops getting questioned 304 00:16:13,320 --> 00:16:17,200 Speaker 4: and begins to become accepted as true. For instance, we 305 00:16:17,360 --> 00:16:20,320 Speaker 4: just had the jan sixth anniversary, but the idea that 306 00:16:20,800 --> 00:16:24,800 Speaker 4: tons of police officers were murdered, that becomes standard operating 307 00:16:24,880 --> 00:16:28,400 Speaker 4: procedure for a lot of these stories, the hands up, 308 00:16:28,440 --> 00:16:33,040 Speaker 4: don't shoot liy. So much of what they put out 309 00:16:33,080 --> 00:16:36,640 Speaker 4: there is so successful due to mass repetition, I mean, 310 00:16:36,680 --> 00:16:39,840 Speaker 4: the very fine people hoax associated with Trump, that it 311 00:16:39,920 --> 00:16:43,880 Speaker 4: becomes emblematic and embedded in the overall narrative and hard 312 00:16:43,920 --> 00:16:44,400 Speaker 4: to defeat. 313 00:16:45,000 --> 00:16:50,160 Speaker 1: We call this tactic fire hose of falsehood in manufacturing delusion, 314 00:16:50,320 --> 00:16:51,880 Speaker 1: the book that all of you should be getting your 315 00:16:51,880 --> 00:16:54,080 Speaker 1: pre orders in on. So now that's a real thing. 316 00:16:54,120 --> 00:16:57,120 Speaker 1: Though it's just you just keep it's effectively just repetition 317 00:16:57,280 --> 00:16:59,000 Speaker 1: at nauseum. You just keep saying, and it's saying and 318 00:16:59,040 --> 00:17:02,160 Speaker 1: it's saying and it's saying it, and it does seep 319 00:17:02,240 --> 00:17:06,440 Speaker 1: into people's minds. It does start to be accepted as 320 00:17:06,600 --> 00:17:10,600 Speaker 1: the truth to so many, and it's unfortunate, but I mean, 321 00:17:10,600 --> 00:17:11,600 Speaker 1: hands up, don't shoot. 322 00:17:12,840 --> 00:17:14,400 Speaker 2: Is something that had a. 323 00:17:14,359 --> 00:17:17,280 Speaker 1: Cultural resonance at a point in time, and the fact 324 00:17:17,320 --> 00:17:20,920 Speaker 1: that it's not true and obviously was always untrue, does 325 00:17:20,960 --> 00:17:23,480 Speaker 1: not matter at all. Clay to the people who used 326 00:17:23,480 --> 00:17:24,960 Speaker 1: it then and use it now. 327 00:17:25,240 --> 00:17:28,600 Speaker 4: And look for the people who are intentionally lying, they're despicable. 328 00:17:29,600 --> 00:17:32,320 Speaker 4: But the thing that disappoints me is a lot of 329 00:17:32,359 --> 00:17:37,280 Speaker 4: people come to trust the repetition and are not even 330 00:17:37,320 --> 00:17:42,719 Speaker 4: intentionally attempting to lie. They are just taking advantage of 331 00:17:42,960 --> 00:17:45,080 Speaker 4: And there's a huge percentage of people out there that 332 00:17:45,240 --> 00:17:48,320 Speaker 4: just believe untruths and think they're doing their best to 333 00:17:48,400 --> 00:17:51,480 Speaker 4: be informed, and democrats, i think, take advantage of that 334 00:17:51,680 --> 00:17:53,840 Speaker 4: in a huge way, and the hands up, don't shoot 335 00:17:53,840 --> 00:17:58,080 Speaker 4: thing is unfortunately an emblematic example of that eleven years later. Look, 336 00:17:58,080 --> 00:17:59,959 Speaker 4: most of us don't usually stop and think about our 337 00:18:00,119 --> 00:18:03,880 Speaker 4: online identities being stolen, even when we're online purchasing one 338 00:18:03,880 --> 00:18:07,320 Speaker 4: thing or another. We trust the online retailer, hotel chain, airline, 339 00:18:07,520 --> 00:18:10,199 Speaker 4: food delivery service, whatever it is. What we can't trust 340 00:18:10,240 --> 00:18:12,720 Speaker 4: is their ability to protect the database at all costs. 341 00:18:12,720 --> 00:18:15,320 Speaker 4: When a cyber hacker sets their mind to it, there 342 00:18:15,320 --> 00:18:18,600 Speaker 4: are few databases they can't eventually find their way into, 343 00:18:18,720 --> 00:18:21,640 Speaker 4: and that's why it's their game these cyber thieves. Once 344 00:18:21,680 --> 00:18:24,639 Speaker 4: they steal data and a data breach, they most often 345 00:18:24,680 --> 00:18:27,480 Speaker 4: sell that data to the highest bidders on the dark web, 346 00:18:27,560 --> 00:18:32,440 Speaker 4: leaving your online identity totally exposed. Cyber Threats are everywhere. 347 00:18:32,480 --> 00:18:35,760 Speaker 4: That's why LifeLock monitors hundreds of millions of data points 348 00:18:36,320 --> 00:18:39,280 Speaker 4: every second for identity threats. 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Welcome back into Clay and Buck. 355 00:18:58,320 --> 00:19:02,679 Speaker 1: As promised, we're joined by Christian McLaughlin, Assistant Secretary of 356 00:19:02,760 --> 00:19:04,480 Speaker 1: Homeland Heureti Tricia. 357 00:19:04,560 --> 00:19:06,320 Speaker 2: Thank you for calling in, Thanks for being with us. 358 00:19:06,600 --> 00:19:07,920 Speaker 3: Hey, thanks so much for having me. 359 00:19:08,680 --> 00:19:13,840 Speaker 1: How are the operations going, specifically in Minneapolis. Are we 360 00:19:13,960 --> 00:19:17,679 Speaker 1: continuing with much of the same plan. When are we 361 00:19:17,720 --> 00:19:20,320 Speaker 1: going to have a sense of numbers of those detained 362 00:19:21,119 --> 00:19:25,040 Speaker 1: and possibly in the process of deportation. Just if you 363 00:19:25,080 --> 00:19:29,320 Speaker 1: could bring us up to speed on immigration enforcement efforts 364 00:19:29,320 --> 00:19:30,280 Speaker 1: in the state of Minnesota. 365 00:19:30,920 --> 00:19:34,200 Speaker 3: Absolutely, we're not being deterred. Our officers are still on 366 00:19:34,240 --> 00:19:38,640 Speaker 3: the ground carrying out their lawful duties. We're about thirteen thousand, 367 00:19:39,240 --> 00:19:42,680 Speaker 3: excuse me, three thousand illegal aliens who have been arrested. 368 00:19:42,680 --> 00:19:45,159 Speaker 3: But I mean, you guys have to listen to some 369 00:19:45,200 --> 00:19:48,160 Speaker 3: of the guys we picked up just yesterday. An individual 370 00:19:48,200 --> 00:19:52,639 Speaker 3: from Mexico convicted for criminal sexual assault, an individual from 371 00:19:52,880 --> 00:19:57,280 Speaker 3: another individual from Mexico drug trafficking, an individual from laos 372 00:19:57,440 --> 00:20:01,040 Speaker 3: I was convicted of murder, another individual for a female 373 00:20:01,040 --> 00:20:04,480 Speaker 3: who was convicted of homicide. These are the criminals that 374 00:20:04,520 --> 00:20:08,919 Speaker 3: we're going after and as much as Walls and Jacob 375 00:20:08,960 --> 00:20:11,880 Speaker 3: Pride don't want the American people to know that we 376 00:20:11,920 --> 00:20:14,160 Speaker 3: are going after the worst the worst and getting them 377 00:20:14,160 --> 00:20:16,800 Speaker 3: off of the streets. And there's a very simple, easy 378 00:20:16,880 --> 00:20:19,760 Speaker 3: solution here, which is that they could actually let us 379 00:20:19,760 --> 00:20:22,760 Speaker 3: into their jails and make sure that the one three 380 00:20:22,880 --> 00:20:25,879 Speaker 3: hundred and sixty criminal legal aliens who are sitting in 381 00:20:25,920 --> 00:20:29,200 Speaker 3: their custody today does not get released back onto their 382 00:20:29,240 --> 00:20:31,840 Speaker 3: streets to commit more crimes against Americans. 383 00:20:32,600 --> 00:20:35,560 Speaker 4: Trisia, I appreciate you joining us. Can you tell us 384 00:20:35,840 --> 00:20:39,359 Speaker 4: the background on the five year old story that Democrats 385 00:20:39,400 --> 00:20:43,119 Speaker 4: tried to make the new focus of their anti ice protests. 386 00:20:43,400 --> 00:20:46,520 Speaker 4: What happened there, what is significant and what should our 387 00:20:46,600 --> 00:20:49,119 Speaker 4: audience know from your perspective about that story. 388 00:20:49,560 --> 00:20:53,040 Speaker 3: Yeah, Well, first and foremost, this father he abandoned his 389 00:20:53,320 --> 00:20:56,280 Speaker 3: five year old son when he was fleeing from law enforcement. 390 00:20:56,359 --> 00:21:00,560 Speaker 3: So our law enforcement officers approached this illegal aleen from 391 00:21:00,600 --> 00:21:03,520 Speaker 3: Ecuador and that's when he darted off without his child, 392 00:21:03,640 --> 00:21:06,720 Speaker 3: leaving his child out in the cold, and our officers 393 00:21:06,800 --> 00:21:10,879 Speaker 3: they stood there with the child and made sure the 394 00:21:10,960 --> 00:21:14,800 Speaker 3: child was okay, actually brought him McDonald and played him 395 00:21:14,800 --> 00:21:18,159 Speaker 3: some of his favorite music, and they tried. They mean 396 00:21:18,320 --> 00:21:21,080 Speaker 3: multiple attempts to bring the child into the custody of 397 00:21:21,080 --> 00:21:24,520 Speaker 3: the mother who refused, and our officers even assured her 398 00:21:24,800 --> 00:21:28,600 Speaker 3: that she would not be taken into custoday. So the 399 00:21:28,600 --> 00:21:31,800 Speaker 3: mother is abandoning the child, the father is and so 400 00:21:32,240 --> 00:21:34,439 Speaker 3: our law enforcement made sure that the child was safe 401 00:21:34,560 --> 00:21:38,320 Speaker 3: and warm, and now the child and the father are 402 00:21:38,359 --> 00:21:41,000 Speaker 3: in Dillay detention facility and they're back together. 403 00:21:42,240 --> 00:21:45,280 Speaker 1: So, Tricia, what we see is a lot of focus 404 00:21:45,359 --> 00:21:49,320 Speaker 1: on these operations really in Minneapolis and perhaps the broader 405 00:21:49,720 --> 00:21:53,560 Speaker 1: Minneapolis metro area. Are there a lot of places elsewhere 406 00:21:53,560 --> 00:21:57,720 Speaker 1: in the country with similar deployment of resources given the 407 00:21:57,760 --> 00:22:01,800 Speaker 1: size of the city, or is the resistance that ICE 408 00:22:01,840 --> 00:22:05,000 Speaker 1: officers have come up against in Minneapolis so much more 409 00:22:05,119 --> 00:22:09,560 Speaker 1: severe that you've had to put a lot more manpower 410 00:22:09,960 --> 00:22:11,960 Speaker 1: just to be able to conduct the lawful mission. 411 00:22:12,600 --> 00:22:14,800 Speaker 3: You're exactly right. That is why you have such a 412 00:22:14,920 --> 00:22:17,720 Speaker 3: large footprint, in such a visible presence of ICE and 413 00:22:17,800 --> 00:22:21,080 Speaker 3: CBP officers on the ground, is because we don't have 414 00:22:21,440 --> 00:22:25,399 Speaker 3: that state and local law enforcement backing. So when I 415 00:22:25,440 --> 00:22:28,239 Speaker 3: mean people can look on at the images that are 416 00:22:28,280 --> 00:22:31,040 Speaker 3: being put out as far as law enforcement is being 417 00:22:31,320 --> 00:22:35,800 Speaker 3: assaulted there's rampant violence against them, impeding an obstruction while 418 00:22:35,800 --> 00:22:38,560 Speaker 3: they're carrying out their lawful duties. We still need to 419 00:22:38,600 --> 00:22:41,520 Speaker 3: make these arrests and get these criminals off of the streets. 420 00:22:41,520 --> 00:22:44,080 Speaker 3: So that's why we've surged resources there. But I mean, 421 00:22:44,160 --> 00:22:47,000 Speaker 3: if you look at the juxtaposition between what's happening in 422 00:22:47,040 --> 00:22:51,239 Speaker 3: Minnesota when there's been about thirteen thousand arrests, and then 423 00:22:51,359 --> 00:22:53,520 Speaker 3: you look at it in total, and then you look 424 00:22:53,560 --> 00:22:57,000 Speaker 3: at somewhere like Florida where there's been over forty thousand arrests, 425 00:22:57,040 --> 00:22:59,679 Speaker 3: and yet you don't see riots, you see peace, you 426 00:22:59,720 --> 00:23:02,359 Speaker 3: see and then you look at Texas where we also 427 00:23:02,359 --> 00:23:05,200 Speaker 3: have state and local law enforcement who are actually coordinating 428 00:23:05,200 --> 00:23:07,880 Speaker 3: with us. Again you see peace, calm, you don't see rights. 429 00:23:08,080 --> 00:23:11,320 Speaker 3: That's about thirty five thousand. It really goes to show 430 00:23:11,359 --> 00:23:14,280 Speaker 3: you how if there's state and local law enforcement that 431 00:23:14,359 --> 00:23:16,640 Speaker 3: will actually let us in their jails and actually give 432 00:23:16,720 --> 00:23:20,119 Speaker 3: us back up when we call if our law enforcement 433 00:23:20,160 --> 00:23:23,080 Speaker 3: are being assaulted, are impeded, it's a lot better for 434 00:23:23,119 --> 00:23:24,879 Speaker 3: the public and it's a lot better for all of 435 00:23:24,880 --> 00:23:26,320 Speaker 3: these communities. 436 00:23:26,160 --> 00:23:30,600 Speaker 4: We're talking to. Trishamo McLaughlin. Good news that came out 437 00:23:30,680 --> 00:23:34,720 Speaker 4: one hundred and twenty five year low in murders according 438 00:23:34,760 --> 00:23:38,480 Speaker 4: to Axios, according to The New York Times, how much 439 00:23:38,520 --> 00:23:40,920 Speaker 4: do you think that is attributable partly to the work 440 00:23:40,960 --> 00:23:45,080 Speaker 4: that DHS is doing and helping to get violent predators 441 00:23:45,160 --> 00:23:48,359 Speaker 4: out of our country. It doesn't seem coincidental to me 442 00:23:48,440 --> 00:23:52,160 Speaker 4: that the border gets shut down and suddenly murders plummet 443 00:23:52,160 --> 00:23:54,959 Speaker 4: to a level that truly has never occurred in the 444 00:23:55,000 --> 00:23:57,840 Speaker 4: history of our nation, basically in the life of anyone today. 445 00:23:58,320 --> 00:24:02,360 Speaker 3: Yeah, it's no coincidence. We've arrested eight thousand gang members 446 00:24:02,400 --> 00:24:04,639 Speaker 3: just in this last year alone, off of the streets 447 00:24:04,640 --> 00:24:08,880 Speaker 3: of America. We've arrested over fifteen hundred known or suspected 448 00:24:09,000 --> 00:24:11,520 Speaker 3: terrorists off of this streets. I mean, I get the 449 00:24:11,600 --> 00:24:16,080 Speaker 3: reports every single day, the scores and scores of child pedophiles, 450 00:24:16,080 --> 00:24:19,560 Speaker 3: convicted murders, people who are wanted for human rights abuses. 451 00:24:20,400 --> 00:24:22,639 Speaker 3: We have a worse, the worst website. We want to 452 00:24:22,640 --> 00:24:26,920 Speaker 3: give ultimate transparency to Americans. It's Wow dot DHS dot gov. 453 00:24:27,200 --> 00:24:31,000 Speaker 3: It's searchable website. Go see who has been walking around 454 00:24:31,040 --> 00:24:34,280 Speaker 3: with impunity committing crimes in your neighborhood and who gauge 455 00:24:34,320 --> 00:24:36,879 Speaker 3: US law enforcement has risked their lives to get off 456 00:24:36,920 --> 00:24:41,439 Speaker 3: of your streets. I think this is low and murder 457 00:24:41,600 --> 00:24:45,480 Speaker 3: is completely because the president actually worked to enforce the 458 00:24:45,560 --> 00:24:48,359 Speaker 3: rule of law, and ours law enforcement has in a 459 00:24:48,400 --> 00:24:51,360 Speaker 3: phenomenal job in getting these criminals off of the streets. 460 00:24:51,680 --> 00:24:52,680 Speaker 1: For jure, I don't want to put you on the 461 00:24:52,680 --> 00:24:54,960 Speaker 1: spot too much, because you know, I know that there's 462 00:24:54,960 --> 00:24:57,159 Speaker 1: a lot of numbers one could ask or so, so 463 00:24:57,280 --> 00:24:59,000 Speaker 1: anything you can do to just give us some sense 464 00:24:59,000 --> 00:25:01,120 Speaker 1: of the scale would be helped. But something that I'm 465 00:25:01,160 --> 00:25:05,000 Speaker 1: curious about, do you have some estimate of either how 466 00:25:05,080 --> 00:25:10,520 Speaker 1: many let's just take homicide, for example, how many of 467 00:25:10,600 --> 00:25:14,760 Speaker 1: the illegals that have been arrested and or deported were 468 00:25:14,840 --> 00:25:18,400 Speaker 1: people that had been convicted previously of murder, or how 469 00:25:18,440 --> 00:25:21,960 Speaker 1: many of them are actually still at large in the country. 470 00:25:22,000 --> 00:25:26,200 Speaker 1: I mean, are we talking about hundreds of murderer illegal aliens? 471 00:25:26,359 --> 00:25:28,920 Speaker 1: Thousands of murder illegal aliens? I mean, I just want 472 00:25:28,960 --> 00:25:30,960 Speaker 1: to get some sense of what these numbers look like. 473 00:25:31,560 --> 00:25:34,879 Speaker 3: Thousands who have been convicted in the United States of America. 474 00:25:34,920 --> 00:25:37,399 Speaker 3: But keep in mind how many these people are wanted 475 00:25:37,440 --> 00:25:40,040 Speaker 3: for crimes in their own country or a third country, 476 00:25:41,320 --> 00:25:43,440 Speaker 3: and so they wouldn't have a rap sheet in the 477 00:25:43,520 --> 00:25:46,520 Speaker 3: United States. But they still are criminals. They've just are 478 00:25:46,560 --> 00:25:48,520 Speaker 3: at large fugitives from their own nations. 479 00:25:49,560 --> 00:25:50,440 Speaker 2: This is really important. 480 00:25:50,480 --> 00:25:54,600 Speaker 1: You just said that thousands of the illegals, so they're 481 00:25:54,640 --> 00:25:57,000 Speaker 1: supposed to not be in the country in the first place. 482 00:25:57,080 --> 00:26:01,000 Speaker 1: Thousands of the ones that ICE is now detaining and 483 00:26:01,040 --> 00:26:03,879 Speaker 1: putting in the process to deport have been convicted. 484 00:26:03,520 --> 00:26:06,880 Speaker 2: Of murder here. So they're illegal aliens who committed murders 485 00:26:06,920 --> 00:26:07,560 Speaker 2: in America. 486 00:26:08,119 --> 00:26:11,440 Speaker 3: That's correct. I mean, we're talking about one hundreds plural 487 00:26:11,480 --> 00:26:13,919 Speaker 3: in just Minneapolis alone. 488 00:26:14,200 --> 00:26:17,880 Speaker 4: My lord, when we run through all of this, we're 489 00:26:17,880 --> 00:26:23,560 Speaker 4: talking to Tricia McLaughlin. Are you genuinely stunned that Democrats 490 00:26:23,600 --> 00:26:28,240 Speaker 4: have decided that their entire basis as resistance to Trump 491 00:26:28,280 --> 00:26:31,560 Speaker 4: two point zero to a large extent, has boiled down 492 00:26:31,600 --> 00:26:35,000 Speaker 4: to we're going to try to keep ICE agents from 493 00:26:35,080 --> 00:26:39,040 Speaker 4: deporting people who are illegally here, many of whom committed 494 00:26:39,480 --> 00:26:42,560 Speaker 4: violent crimes. I mean, it just I know you've got 495 00:26:42,560 --> 00:26:45,160 Speaker 4: the job that you do, but when you pull yourself 496 00:26:45,200 --> 00:26:47,800 Speaker 4: back and look at this, does it ever just strike 497 00:26:47,880 --> 00:26:50,879 Speaker 4: you as absolutely bonkers that this is the hill that 498 00:26:50,960 --> 00:26:54,400 Speaker 4: the Democrat Party has decided they're going to die on Well, 499 00:26:54,400 --> 00:26:54,760 Speaker 4: I think. 500 00:26:54,680 --> 00:26:58,119 Speaker 3: It's disheartening just purely as an American because I see 501 00:26:58,200 --> 00:27:01,760 Speaker 3: these individuals, these criminals legally into our law enforcement is 502 00:27:01,840 --> 00:27:06,960 Speaker 3: risking their lives to remove and yet these Democrat politicians, 503 00:27:07,040 --> 00:27:10,280 Speaker 3: all they do is continue to vilify and demonize our 504 00:27:10,359 --> 00:27:12,520 Speaker 3: law enforcement time and time again. So I think that 505 00:27:12,560 --> 00:27:15,520 Speaker 3: there's a degree of ICE hysteria that the Democrats have 506 00:27:15,560 --> 00:27:18,119 Speaker 3: tried to manufacture. But I do think that they're a 507 00:27:18,160 --> 00:27:21,919 Speaker 3: rudderless politically and they continue to put politics ahead of 508 00:27:21,920 --> 00:27:24,280 Speaker 3: public safety. And this is kind of the same recipe 509 00:27:24,400 --> 00:27:26,080 Speaker 3: that they had in twenty twenty four, and I don't 510 00:27:26,080 --> 00:27:27,439 Speaker 3: think they've learned any lessons from it. 511 00:27:28,560 --> 00:27:32,080 Speaker 1: How is the morale of the ICE officers that are 512 00:27:32,119 --> 00:27:36,960 Speaker 1: engaged in these operations. There's clearly a broad effort both 513 00:27:37,000 --> 00:27:38,920 Speaker 1: with people going up to them in person but then 514 00:27:39,080 --> 00:27:43,080 Speaker 1: in the media to defame them, to call them all 515 00:27:43,160 --> 00:27:45,359 Speaker 1: kinds of names. I'm just wondering, if you could speak 516 00:27:45,400 --> 00:27:47,960 Speaker 1: to how are they holding up under this and how 517 00:27:48,080 --> 00:27:53,520 Speaker 1: is DHS leadership trying to support them as they're conducting 518 00:27:53,560 --> 00:27:54,800 Speaker 1: their lawful operations. 519 00:27:55,280 --> 00:27:57,600 Speaker 3: Well, I do think right, I mean, they are spacing 520 00:27:57,640 --> 00:28:00,480 Speaker 3: one thousand percent increase in assaults against them. We're seeing 521 00:28:00,520 --> 00:28:05,600 Speaker 3: these rampant vehicle rammings against them as well. Their families 522 00:28:05,640 --> 00:28:08,399 Speaker 3: are being targeted, where their spouses work, where their children 523 00:28:08,440 --> 00:28:11,560 Speaker 3: go to school, massive amount of docsing, about eight thousand 524 00:28:11,560 --> 00:28:16,040 Speaker 3: percent increase in death threats against them. So I will say, 525 00:28:16,080 --> 00:28:18,960 Speaker 3: of course that just on a human level, of course, 526 00:28:18,960 --> 00:28:21,000 Speaker 3: that takes a toll. But I do think with our 527 00:28:21,359 --> 00:28:24,119 Speaker 3: law enforcement officers at DHS, they know that they have 528 00:28:24,160 --> 00:28:27,760 Speaker 3: a president and a Secretary of Homeland Security and Christynome 529 00:28:27,960 --> 00:28:30,919 Speaker 3: who actually has their back. They didn't have that with Biden. 530 00:28:31,160 --> 00:28:33,040 Speaker 3: They sure as heck didn't have that with my workers, 531 00:28:33,080 --> 00:28:35,200 Speaker 3: who would continue to demonize as own men and women 532 00:28:35,240 --> 00:28:38,240 Speaker 3: in law enforcement. So I do think I've been on 533 00:28:38,280 --> 00:28:41,080 Speaker 3: the ground of Minneapolis, Gosh, quite a few times here 534 00:28:41,080 --> 00:28:43,440 Speaker 3: in the last week or two, and I do think 535 00:28:43,520 --> 00:28:46,760 Speaker 3: that people understand the mission. They put their head down, 536 00:28:46,960 --> 00:28:48,880 Speaker 3: they go to work, they know that they're carrying out 537 00:28:48,880 --> 00:28:51,360 Speaker 3: the law, and they know that they're saving really countless 538 00:28:51,400 --> 00:28:53,480 Speaker 3: lives by getting these criminals off the street. 539 00:28:54,240 --> 00:28:57,160 Speaker 4: Tricia, we appreciate the time. We know how hard you 540 00:28:57,200 --> 00:28:59,880 Speaker 4: guys are working, and we'll look forward to talking to 541 00:28:59,920 --> 00:29:03,080 Speaker 4: you again and keep up the good work in the meantime. 542 00:29:03,560 --> 00:29:04,840 Speaker 3: Thank you, grateful to be on with you. 543 00:29:05,520 --> 00:29:09,880 Speaker 4: That's Assistant Secretary of Homeland Security for Public Affairs, Tricia McLachlin. 544 00:29:10,160 --> 00:29:12,640 Speaker 4: You see her obviously on television quite a lot. And 545 00:29:13,480 --> 00:29:16,400 Speaker 4: we'll be back here momentarily. We're going to talk with 546 00:29:16,400 --> 00:29:19,920 Speaker 4: Brendan Carr and Mary Margaret Olahan in the third hour 547 00:29:20,040 --> 00:29:21,960 Speaker 4: of the program. But I want to tell you it's 548 00:29:22,000 --> 00:29:26,240 Speaker 4: going to be freezing cold. The top story across all 549 00:29:26,320 --> 00:29:28,880 Speaker 4: of the television networks, by and large, the top of 550 00:29:29,000 --> 00:29:32,960 Speaker 4: every single hour right now, is what may well be 551 00:29:33,160 --> 00:29:36,680 Speaker 4: the largest winter storm to hit in the United States 552 00:29:36,720 --> 00:29:40,720 Speaker 4: in decades, from basically Texas all the way up to 553 00:29:41,000 --> 00:29:44,880 Speaker 4: New York and all points in between except for Bucks, Florida. 554 00:29:45,080 --> 00:29:46,880 Speaker 4: There's gonna be a lot of people who are very 555 00:29:46,920 --> 00:29:51,920 Speaker 4: cold over the next several days. And Cozy Earth will 556 00:29:51,960 --> 00:29:54,400 Speaker 4: help to make sure that you, if you need to, 557 00:29:54,560 --> 00:29:58,080 Speaker 4: can get under some warm, cozy blankets. 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Spend time with Clay and buy. 574 00:30:57,080 --> 00:31:00,320 Speaker 8: Find them on the free iHeartRadio app or where wherever 575 00:31:00,360 --> 00:31:01,760 Speaker 8: you get your podcasts. 576 00:31:02,040 --> 00:31:05,400 Speaker 4: Welcome back in Clay, Travis buck Sexton Show our thanks 577 00:31:05,440 --> 00:31:09,120 Speaker 4: to Trisha McGlaughlin. Third hour of the program coming this 578 00:31:09,240 --> 00:31:12,960 Speaker 4: way and we will be joined by FCC Commissioner Brendan 579 00:31:13,040 --> 00:31:16,560 Speaker 4: Carr and Mary Margaret Olahan from The Daily Wire. But 580 00:31:16,640 --> 00:31:19,160 Speaker 4: a bunch of you want to weigh in on a 581 00:31:19,240 --> 00:31:22,160 Speaker 4: variety of different topics. It is Friday, eight hundred and two, 582 00:31:22,160 --> 00:31:24,440 Speaker 4: A two two eight eight two, and we try to 583 00:31:24,560 --> 00:31:27,719 Speaker 4: get to as many of you as we can. Uh, 584 00:31:27,960 --> 00:31:31,680 Speaker 4: let's go to uh, let's see. Well, this is a 585 00:31:31,680 --> 00:31:32,880 Speaker 4: wide variety of topics. 586 00:31:32,880 --> 00:31:33,360 Speaker 2: So here we go. 587 00:31:33,480 --> 00:31:37,040 Speaker 4: John in Columbia, South Carolina, John, what you got for us? 588 00:31:37,800 --> 00:31:40,520 Speaker 9: Okay, I'm one of your five percent of your audience 589 00:31:40,560 --> 00:31:42,320 Speaker 9: that actually saw Centers in the theater? 590 00:31:43,080 --> 00:31:44,280 Speaker 2: All right? What did you think? 591 00:31:44,640 --> 00:31:47,320 Speaker 4: Did it deserve sixteen Oscar nominations, the most in the 592 00:31:47,400 --> 00:31:49,120 Speaker 4: history of Hollywood? 593 00:31:50,040 --> 00:31:53,760 Speaker 9: Now it was Okay, it was highly overrated and overhyped, 594 00:31:55,400 --> 00:31:59,360 Speaker 9: but yeah, it wasn't horrible. Yes, they're very gratuitous, though 595 00:32:00,080 --> 00:32:03,680 Speaker 9: spoiler at the very end they ambush the white guys. 596 00:32:03,680 --> 00:32:05,600 Speaker 4: All right, hold on, we don't need spoilers just in 597 00:32:05,680 --> 00:32:08,080 Speaker 4: the events and relatively new movie. But you said you 598 00:32:08,120 --> 00:32:10,920 Speaker 4: have a couple of vampire movie suggestions. Are you a 599 00:32:10,920 --> 00:32:12,800 Speaker 4: big vampire movie fan? 600 00:32:13,720 --> 00:32:15,920 Speaker 9: I'm a pretty big horror buff all the way around. 601 00:32:17,160 --> 00:32:19,760 Speaker 9: But there are a couple of recent ones that I 602 00:32:19,760 --> 00:32:22,560 Speaker 9: think are really good. One of them is Thirty Days 603 00:32:22,560 --> 00:32:26,040 Speaker 9: of Night. Okay, but I have to warn you it 604 00:32:26,120 --> 00:32:29,240 Speaker 9: is very violent, so it might not be everybody's cup 605 00:32:29,280 --> 00:32:31,600 Speaker 9: of tea. But it's a really original concept. 606 00:32:32,720 --> 00:32:33,000 Speaker 2: Yep. 607 00:32:34,640 --> 00:32:38,040 Speaker 9: And the other one is called let the Right One in. 608 00:32:38,760 --> 00:32:43,240 Speaker 9: This a Swedish movie. It was remade in America as 609 00:32:44,320 --> 00:32:48,520 Speaker 9: let Me In, and the American version is good, but 610 00:32:48,520 --> 00:32:50,840 Speaker 9: it's not really nearly as good as the original. 611 00:32:51,560 --> 00:32:54,520 Speaker 4: Well, I appreciate the call. Thank you for those recommendations 612 00:32:54,520 --> 00:32:59,240 Speaker 4: for the vampire movie. Officionados out there, you can listen 613 00:32:59,280 --> 00:33:03,000 Speaker 4: to those. By the way, I wanted to play this. 614 00:33:03,000 --> 00:33:07,280 Speaker 4: This is a uh, Saint Paul resident, twenty three year old. 615 00:33:08,200 --> 00:33:11,880 Speaker 4: She's making the argument for what being Somali is like 616 00:33:12,560 --> 00:33:16,760 Speaker 4: and uh, she had a Kamala Harris esque analysis of 617 00:33:16,960 --> 00:33:20,400 Speaker 4: what is the importance of being Somali up in Minnesota, 618 00:33:20,480 --> 00:33:21,200 Speaker 4: Cut twenty eight. 619 00:33:21,720 --> 00:33:26,480 Speaker 10: So I'm Somali. I'm proud to be Somali. To me, 620 00:33:26,680 --> 00:33:31,120 Speaker 10: being Somali isn't just eating bananas with rice. It's it's 621 00:33:31,160 --> 00:33:34,840 Speaker 10: a lot. It's like, it's a it's a it's an 622 00:33:34,840 --> 00:33:38,000 Speaker 10: interesting thing. It's Uh, it's very hard to describe what 623 00:33:38,240 --> 00:33:41,320 Speaker 10: means to be Somali and what it means to be American. 624 00:33:41,600 --> 00:33:45,719 Speaker 10: But it's like a cultural fusion. It's kind of like 625 00:33:46,080 --> 00:33:50,880 Speaker 10: the bananas and rice. You know, people don't really see 626 00:33:51,160 --> 00:33:53,680 Speaker 10: like you know, it's a it's a it's you know, 627 00:33:53,720 --> 00:33:56,040 Speaker 10: people don't think, oh, you can eat bananas with rice, 628 00:33:56,320 --> 00:33:59,160 Speaker 10: But that's what it's like to be Somali an American. 629 00:33:59,240 --> 00:34:04,120 Speaker 10: It's like that combination of banana rice. But you're gonna 630 00:34:04,120 --> 00:34:04,719 Speaker 10: get what I mean. 631 00:34:05,440 --> 00:34:07,840 Speaker 4: I can't believe this is real. They had her speaking 632 00:34:08,000 --> 00:34:14,600 Speaker 4: as one of the spokespeople for the Somali Experience in Minnesota, 633 00:34:14,719 --> 00:34:18,000 Speaker 4: and Buck, I don't think she persuaded anyone that things 634 00:34:18,040 --> 00:34:21,840 Speaker 4: were necessarily much more than bananas and rice. That is 635 00:34:22,160 --> 00:34:24,000 Speaker 4: Kamala Harris if she were a twenty three year old 636 00:34:24,080 --> 00:34:27,880 Speaker 4: Somali Derek in Buckeye Arizona. I didn't know there was 637 00:34:27,920 --> 00:34:28,920 Speaker 4: a Buckeye Arizona. 638 00:34:29,360 --> 00:34:30,960 Speaker 2: CC. What you got for us? 639 00:34:30,960 --> 00:34:36,440 Speaker 11: Well, aroona Hey, I'm kind of glad Buck that Clay 640 00:34:36,520 --> 00:34:38,560 Speaker 11: finally admitted that he's getting old and he had to 641 00:34:38,560 --> 00:34:42,000 Speaker 11: have a JumboTron installed in his house for him to 642 00:34:42,040 --> 00:34:45,760 Speaker 11: watch the football games. Now, did go get your eyes checked? 643 00:34:45,840 --> 00:34:48,360 Speaker 2: Laces cheap on the television. 644 00:34:48,480 --> 00:34:50,160 Speaker 4: I just think I should be in charge of all 645 00:34:50,280 --> 00:34:54,080 Speaker 4: instant replay review because I'm not sure that anyone has 646 00:34:54,280 --> 00:34:58,600 Speaker 4: a larger video of games that take place in a 647 00:34:58,640 --> 00:35:01,400 Speaker 4: private home. I'm going to give Roger Goodell my phone number. 648 00:35:01,440 --> 00:35:04,640 Speaker 4: I'm gonna give the SEC and the Big ten commissioners, 649 00:35:04,680 --> 00:35:07,600 Speaker 4: ACC Big twelve, and I'm just gonna say, hey, if 650 00:35:07,640 --> 00:35:10,480 Speaker 4: you need me, if you need me to review any play, 651 00:35:10,880 --> 00:35:12,640 Speaker 4: I can look at it. I think I would be 652 00:35:12,680 --> 00:35:15,799 Speaker 4: phenomenal at instant replay review, and now I have the 653 00:35:15,880 --> 00:35:18,440 Speaker 4: ability to see it on a much bigger screen than 654 00:35:18,480 --> 00:35:20,480 Speaker 4: any of the people that are actually in charge of 655 00:35:20,520 --> 00:35:21,600 Speaker 4: instant replay review. 656 00:35:22,560 --> 00:35:24,920 Speaker 2: So there you go. You're gonna have to check this 657 00:35:25,000 --> 00:35:26,280 Speaker 2: thing out. And I'm gonna watch. 658 00:35:27,160 --> 00:35:31,400 Speaker 4: Evidently, with the snowstorm coming as it is, I'm gonna 659 00:35:31,400 --> 00:35:34,239 Speaker 4: plan on watching a lot of things this weekend because 660 00:35:34,239 --> 00:35:36,520 Speaker 4: I think, like many people are gonna be snowed in, 661 00:35:36,560 --> 00:35:39,640 Speaker 4: and they say, buck that the big, biggest beneficiary of 662 00:35:39,680 --> 00:35:42,879 Speaker 4: everybody being snowed in, I mean, legitimately the whole East 663 00:35:42,960 --> 00:35:46,000 Speaker 4: Coast basically is gonna be dealing with the bad weather 664 00:35:46,920 --> 00:35:51,160 Speaker 4: NFC AFC Championship games, which are already close to setting 665 00:35:51,200 --> 00:35:54,879 Speaker 4: all time records. Probably more people are gonna be snowed in, 666 00:35:54,920 --> 00:35:57,120 Speaker 4: which means they're gonna need something to watch, and so 667 00:35:57,400 --> 00:35:57,920 Speaker 4: There you go. 668 00:35:59,360 --> 00:36:00,720 Speaker 2: I will I'll have. 669 00:36:00,640 --> 00:36:06,759 Speaker 1: To go deep into the game tape and study the 670 00:36:06,800 --> 00:36:11,080 Speaker 1: AFC and NFC teams that are in it to understand 671 00:36:11,200 --> 00:36:13,160 Speaker 1: who I think is going to win and to make 672 00:36:13,200 --> 00:36:16,440 Speaker 1: that prediction for all of you. Because I might have 673 00:36:16,560 --> 00:36:19,760 Speaker 1: lost on the National Championship Game pick and in fact 674 00:36:20,640 --> 00:36:24,239 Speaker 1: picked against the Cinderella story that was Indiana University because 675 00:36:24,239 --> 00:36:27,600 Speaker 1: I didn't know anything about that story. But this time around, 676 00:36:28,239 --> 00:36:30,439 Speaker 1: I'm going to do more than a Rocks or I'm 677 00:36:30,440 --> 00:36:33,279 Speaker 1: going to do Rock and Gemini play. I'm going to 678 00:36:33,360 --> 00:36:34,520 Speaker 1: go deep into my analysis. 679 00:36:34,800 --> 00:36:35,440 Speaker 2: There you go. 680 00:36:35,640 --> 00:36:39,600 Speaker 4: Up next, FCC Commissioner Brendan Carr CNN