1 00:00:00,120 --> 00:00:03,360 Speaker 1: Welcome to today's edition of The Clay Travis and buck 2 00:00:03,400 --> 00:00:07,840 Speaker 1: Sexton Show podcast. Welcome back in Clay Travis buck Sexton Show. 3 00:00:08,080 --> 00:00:10,240 Speaker 1: Final hour of the show, Monday edition. 4 00:00:10,320 --> 00:00:12,840 Speaker 2: We hope all of you had fantastic weekends. 5 00:00:12,880 --> 00:00:16,480 Speaker 1: We've been talking about South Carolina primary results from Saturday 6 00:00:17,400 --> 00:00:19,880 Speaker 1: on the eve of the Michigan primary, which we'll be 7 00:00:19,920 --> 00:00:23,560 Speaker 1: talking about a great deal tomorrow. We've also been talking 8 00:00:23,600 --> 00:00:27,040 Speaker 1: about everything having to do with Trump, b Biden, the 9 00:00:27,120 --> 00:00:29,440 Speaker 1: latest polls. We'll talk about that some more, but we 10 00:00:29,520 --> 00:00:32,199 Speaker 1: began the show in the first hour talking about the 11 00:00:32,280 --> 00:00:37,320 Speaker 1: awful story from Athens, Georgia. Lake and Riley, a twenty 12 00:00:37,360 --> 00:00:40,080 Speaker 1: two year old nursing student who had been at the 13 00:00:40,159 --> 00:00:44,240 Speaker 1: University of Georgia prior to that. She was murdered allegedly 14 00:00:44,360 --> 00:00:49,640 Speaker 1: by an illegal alien who had entered from Venezuela into 15 00:00:49,640 --> 00:00:53,040 Speaker 1: the United States been arrested a couple of times. Athens, 16 00:00:53,080 --> 00:00:57,360 Speaker 1: which is in Clark County, Georgia, is a sanctuary city. 17 00:00:57,400 --> 00:01:00,400 Speaker 1: And we are joined now by Mary Catherine Hams podcast 18 00:01:00,440 --> 00:01:03,240 Speaker 1: Getting Hammered, a part of the iHeart podcast network. 19 00:01:03,520 --> 00:01:06,360 Speaker 2: She also writes at OutKick. She's kind of everywhere. 20 00:01:07,319 --> 00:01:09,600 Speaker 1: She has a really I think powerful piece up at 21 00:01:09,640 --> 00:01:14,080 Speaker 1: the top of OutKick dot com right now, and Mary Katherine, 22 00:01:14,560 --> 00:01:17,160 Speaker 1: you tweeted about this. We texted about it some over 23 00:01:17,200 --> 00:01:20,400 Speaker 1: the weekend. This young twenty two year old who was 24 00:01:20,520 --> 00:01:25,919 Speaker 1: murdered while going for a jog near a lake in Athens. 25 00:01:26,560 --> 00:01:30,000 Speaker 1: You jogged there for basically every week when you were 26 00:01:30,040 --> 00:01:33,720 Speaker 1: a college kid at Georgia. How did you respond to 27 00:01:33,760 --> 00:01:36,240 Speaker 1: this story? How did you react to it emotionally? What 28 00:01:36,319 --> 00:01:38,600 Speaker 1: has it felt like for you? And why do you 29 00:01:38,640 --> 00:01:41,520 Speaker 1: think it matters so much? And it's connecting with so 30 00:01:41,600 --> 00:01:42,679 Speaker 1: many people across the. 31 00:01:42,640 --> 00:01:47,320 Speaker 3: Country, but more emotional for me because I look at her. 32 00:01:47,400 --> 00:01:50,200 Speaker 3: I've seen her Instagram account, and I see what I 33 00:01:50,480 --> 00:01:53,160 Speaker 3: was in college. She's running a half marathon with her 34 00:01:53,200 --> 00:01:56,120 Speaker 3: best friend. She's going to tailgate, she's going to downtown 35 00:01:56,720 --> 00:01:59,520 Speaker 3: having a good time with her friends. And that life 36 00:01:59,640 --> 00:02:02,080 Speaker 3: is gone. She doesn't get to live the life from 37 00:02:02,200 --> 00:02:04,720 Speaker 3: college into a career and having a family that I 38 00:02:04,800 --> 00:02:08,000 Speaker 3: have now. Right, And when I look at her, I 39 00:02:08,080 --> 00:02:10,280 Speaker 3: see a version of myself because I did run that 40 00:02:10,360 --> 00:02:14,680 Speaker 3: pass every single week. Our intramural across field was across 41 00:02:14,720 --> 00:02:16,800 Speaker 3: the lake from where she was found. Right, That's a 42 00:02:16,800 --> 00:02:19,200 Speaker 3: place that felt very safe and there's a reason that 43 00:02:19,240 --> 00:02:21,440 Speaker 3: felt safe because for thirty years there hasn't been a 44 00:02:21,480 --> 00:02:25,560 Speaker 3: homicide on the University of Georgia campus. And then you 45 00:02:25,600 --> 00:02:27,359 Speaker 3: get to the part where after I want to honor 46 00:02:27,400 --> 00:02:30,880 Speaker 3: this poor woman's family and her friends, and they're having 47 00:02:30,880 --> 00:02:33,840 Speaker 3: a memorial service on campus today for her, you get 48 00:02:33,880 --> 00:02:36,600 Speaker 3: to the part about, Okay, could this have been prevented. 49 00:02:37,040 --> 00:02:40,000 Speaker 3: We're never going to prevent all violent crime, right, but 50 00:02:40,200 --> 00:02:43,440 Speaker 3: this is a situation where as it's Clark County because 51 00:02:43,440 --> 00:02:45,480 Speaker 3: of the da there, because of the policies there, and 52 00:02:45,560 --> 00:02:48,040 Speaker 3: our country, because of the federal policies, has become a 53 00:02:48,040 --> 00:02:51,800 Speaker 3: magnet for legal immigrants, and then the places that are 54 00:02:51,800 --> 00:02:55,880 Speaker 3: sanctuary cities, and that becoming a magnet for the more 55 00:02:56,080 --> 00:02:59,560 Speaker 3: likely to offend. Right, the people who have been arrested 56 00:02:59,680 --> 00:03:01,520 Speaker 3: or who are likely to get arrested end up in 57 00:03:01,560 --> 00:03:04,560 Speaker 3: these places because they're immediately let go. They don't have 58 00:03:04,600 --> 00:03:07,080 Speaker 3: to pay a price for this. The guy who is 59 00:03:07,080 --> 00:03:11,280 Speaker 3: suspected of this murder, he was arrested at least once 60 00:03:11,520 --> 00:03:14,480 Speaker 3: in New York for endangering a child. He may have 61 00:03:14,480 --> 00:03:17,240 Speaker 3: been arrested in Athens. His brother certainly was three, two 62 00:03:17,360 --> 00:03:21,520 Speaker 3: or three times, and they don't have to worry about 63 00:03:21,520 --> 00:03:25,280 Speaker 3: this endangering their asylum claims at all, right, because under 64 00:03:25,320 --> 00:03:28,240 Speaker 3: a Biden administration, you just go about your business, You 65 00:03:28,280 --> 00:03:30,200 Speaker 3: do what you want to do until you escalate to this. 66 00:03:30,760 --> 00:03:34,960 Speaker 3: And we have created this situation for ourselves, and in 67 00:03:35,040 --> 00:03:37,480 Speaker 3: order to solve it, we have to at least be 68 00:03:37,560 --> 00:03:38,360 Speaker 3: honest about it. 69 00:03:39,880 --> 00:03:42,360 Speaker 4: Mary Catherine, it's bock. Thanks for being here with us. 70 00:03:42,440 --> 00:03:45,960 Speaker 5: And yeah, you know, for a lot of people, I 71 00:03:45,960 --> 00:03:50,560 Speaker 5: think to hear that Athens, Georgia is a sanctuary jurisdiction 72 00:03:50,720 --> 00:03:53,040 Speaker 5: is a little bit of a shock. Although if you 73 00:03:53,080 --> 00:03:56,160 Speaker 5: look at the sanctuary jurisdictions across the country, there are 74 00:03:56,280 --> 00:03:58,160 Speaker 5: over three hundred of them. It's not just the major 75 00:03:58,200 --> 00:04:01,000 Speaker 5: cities truly, anywhere were there times to be a concentration 76 00:04:01,360 --> 00:04:06,760 Speaker 5: of Democrat power. And I'm wondering, you know, to the 77 00:04:06,800 --> 00:04:08,800 Speaker 5: degree you can see it, and I know you're connected 78 00:04:08,800 --> 00:04:12,440 Speaker 5: into the community as an alumna, is there a sense 79 00:04:12,480 --> 00:04:16,680 Speaker 5: that people might feel differently about Athens, Georgia as a 80 00:04:16,760 --> 00:04:20,640 Speaker 5: sanctuary city or sanctuary jurisdiction going forward. I mean, what 81 00:04:20,760 --> 00:04:23,039 Speaker 5: is the reaction of the community like right now? 82 00:04:23,520 --> 00:04:26,720 Speaker 3: Yeah, I think it might be jarring, particularly for parents 83 00:04:26,720 --> 00:04:29,520 Speaker 3: of students that have been sent there, right, that they 84 00:04:29,560 --> 00:04:31,719 Speaker 3: didn't really anticipate this. Maybe they live somewhere else in 85 00:04:31,720 --> 00:04:34,279 Speaker 3: Georgia that's not a sanctuary city, or somewhere else in 86 00:04:34,279 --> 00:04:36,720 Speaker 3: the country that's not right, and they assume Georgia that's 87 00:04:36,760 --> 00:04:40,400 Speaker 3: probably fine. But the DA there has, you know, promised 88 00:04:40,400 --> 00:04:42,880 Speaker 3: in running that she would treat the legal immigrants with 89 00:04:43,000 --> 00:04:46,000 Speaker 3: kid gloves because the consideration as always, well, we have 90 00:04:46,040 --> 00:04:48,040 Speaker 3: to think about how it might ruin their lives and 91 00:04:48,440 --> 00:04:51,320 Speaker 3: their status once you hold them for a crime. Well, 92 00:04:51,320 --> 00:04:54,080 Speaker 3: it's like, you're already here illegally. First of all, that's 93 00:04:54,080 --> 00:04:57,400 Speaker 3: a crime. Second of all, why wouldn't you be on 94 00:04:57,440 --> 00:05:00,920 Speaker 3: your best behavior since we've let's you live in this country? 95 00:05:00,960 --> 00:05:01,120 Speaker 6: Right? 96 00:05:01,120 --> 00:05:04,080 Speaker 3: But that's that's not the expectation at all. The expectation 97 00:05:04,200 --> 00:05:07,760 Speaker 3: is that people like us and the DA should support 98 00:05:07,800 --> 00:05:12,279 Speaker 3: protecting them once they've committed crime. Well, Lake and Riley's 99 00:05:12,360 --> 00:05:15,960 Speaker 3: life is now gone partially as a result of just 100 00:05:16,040 --> 00:05:19,360 Speaker 3: letting people out in these situations. And look, Buck, I 101 00:05:20,120 --> 00:05:23,159 Speaker 3: used to be an immigration moderate, like somebody someone would 102 00:05:23,200 --> 00:05:25,480 Speaker 3: call a squish on this issue, and they have turned 103 00:05:25,480 --> 00:05:28,720 Speaker 3: me into a hawk because we are seeing the consequences 104 00:05:28,720 --> 00:05:32,400 Speaker 3: of really bad policy, and it is the fundamental responsibility 105 00:05:32,440 --> 00:05:36,479 Speaker 3: of governments to protect citizens from this kind of physical harm. 106 00:05:36,880 --> 00:05:39,240 Speaker 3: They're generally not great at it because they're concentrating on 107 00:05:39,279 --> 00:05:42,799 Speaker 3: a bunch of other things, like protecting illegal immigrants, for one, 108 00:05:43,200 --> 00:05:46,120 Speaker 3: and they failed. They failed over and over again. If 109 00:05:46,120 --> 00:05:49,120 Speaker 3: they keep failing, bad things will continue to happen. That 110 00:05:49,160 --> 00:05:52,160 Speaker 3: does not mean every immigrant is likely to commit violent crime, 111 00:05:52,360 --> 00:05:54,279 Speaker 3: but it does mean we have created a problem that 112 00:05:54,320 --> 00:05:55,800 Speaker 3: we need to be honest about and solved. 113 00:05:56,480 --> 00:05:58,920 Speaker 1: Mary Catherine, I think you have four kids, If I'm 114 00:05:58,960 --> 00:06:03,360 Speaker 1: not mistaken, I've got three. When you when I read 115 00:06:03,440 --> 00:06:06,559 Speaker 1: your piece and I read your tweets about this, we're 116 00:06:06,680 --> 00:06:11,640 Speaker 1: somewhat in similar age. You at some point graduate as 117 00:06:11,680 --> 00:06:15,800 Speaker 1: you age from the kid who goes to college and 118 00:06:16,160 --> 00:06:20,400 Speaker 1: you know, becomes a becomes an adult into what your 119 00:06:20,400 --> 00:06:21,200 Speaker 1: parents were. 120 00:06:21,080 --> 00:06:22,599 Speaker 4: When they sent you off to college. 121 00:06:22,720 --> 00:06:26,480 Speaker 1: Right, that is desperately concerned about your kids more than 122 00:06:26,520 --> 00:06:29,440 Speaker 1: you think about yourself. I would guess, knowing you a 123 00:06:29,480 --> 00:06:33,120 Speaker 1: little bit, that you are on that pathway as I am. 124 00:06:33,480 --> 00:06:37,920 Speaker 1: Can you imagine what it is like to lose a child, 125 00:06:38,839 --> 00:06:41,640 Speaker 1: and to lose a child, not only which has got 126 00:06:41,720 --> 00:06:43,920 Speaker 1: to be It's hard for any parent to even think about, 127 00:06:44,520 --> 00:06:48,320 Speaker 1: but to lose one because of a violent act that 128 00:06:48,360 --> 00:06:50,080 Speaker 1: should have never been able to occur. 129 00:06:50,279 --> 00:06:52,080 Speaker 4: And to me, you said you used to be kind 130 00:06:52,080 --> 00:06:53,080 Speaker 4: of squishing on this. 131 00:06:53,080 --> 00:06:55,600 Speaker 1: This is where I think a lot of parents feel it, right, 132 00:06:55,680 --> 00:06:59,400 Speaker 1: you viscerally feel this. It's one thing if you know 133 00:06:59,480 --> 00:07:02,200 Speaker 1: your kid gets in a car accident and it's awful 134 00:07:02,240 --> 00:07:04,320 Speaker 1: and you feel bad about it and you lose them 135 00:07:04,360 --> 00:07:07,839 Speaker 1: that way. But when what we're seeing happen is people 136 00:07:07,880 --> 00:07:10,480 Speaker 1: who we know are murderers being let back out onto 137 00:07:10,480 --> 00:07:13,400 Speaker 1: the streets and murdering, and people who should have never 138 00:07:13,520 --> 00:07:16,880 Speaker 1: been here murdering, and it strikes and hits people. I 139 00:07:16,920 --> 00:07:19,840 Speaker 1: think in a way that is very different, and I 140 00:07:19,840 --> 00:07:23,240 Speaker 1: think you're experiencing that. I think most of our listeners 141 00:07:23,280 --> 00:07:26,240 Speaker 1: are experiencing that, And that's why it connects so much, 142 00:07:26,320 --> 00:07:27,720 Speaker 1: this Lake and Riley story. 143 00:07:28,560 --> 00:07:32,440 Speaker 3: Yeah. No, it's criminal negligence, right. It is someone putting 144 00:07:32,920 --> 00:07:34,840 Speaker 3: this poor woman, and by the way, a lot of 145 00:07:34,840 --> 00:07:37,600 Speaker 3: other students on campus in a position where they may 146 00:07:37,600 --> 00:07:41,360 Speaker 3: be threatened and doing it knowingly. What the brother apparently 147 00:07:41,360 --> 00:07:43,800 Speaker 3: had a job, who again has three arrests to his name, 148 00:07:44,080 --> 00:07:46,720 Speaker 3: had a job in a dining hall, and like, you know, 149 00:07:46,840 --> 00:07:49,560 Speaker 3: by the way, an American who applied for that job 150 00:07:49,560 --> 00:07:51,440 Speaker 3: would probably get vetted and they'd find that they had 151 00:07:51,480 --> 00:07:52,640 Speaker 3: a rest and they'd be like, I don't know if 152 00:07:52,640 --> 00:07:55,640 Speaker 3: you can work here, but an illegal immigrant has fake ID, 153 00:07:56,400 --> 00:07:58,840 Speaker 3: his records don't pop and so they're like, oh, yeah, 154 00:07:58,880 --> 00:08:01,520 Speaker 3: come on down and work. How is that of your situation? 155 00:08:01,720 --> 00:08:04,800 Speaker 3: And it puts all these students in a dangerous position 156 00:08:04,840 --> 00:08:07,800 Speaker 3: who parents have trusted, by the way, paying a lot 157 00:08:07,840 --> 00:08:12,680 Speaker 3: of money for it, Yeah, into this university community. So like, yes, 158 00:08:12,880 --> 00:08:15,600 Speaker 3: you have a right to worry about criminal negligence on 159 00:08:15,640 --> 00:08:17,920 Speaker 3: the part of these people who seem to not care 160 00:08:18,080 --> 00:08:23,880 Speaker 3: at all about Americans versus another class of non citizens. 161 00:08:23,960 --> 00:08:25,920 Speaker 3: That is a real thing. You see it in action 162 00:08:26,320 --> 00:08:28,520 Speaker 3: all the time, and your right to be mad about 163 00:08:28,520 --> 00:08:30,760 Speaker 3: it and to be worried about your kids, Like I'm 164 00:08:30,800 --> 00:08:32,240 Speaker 3: worried about a lot of threats to them, right, I 165 00:08:32,240 --> 00:08:35,320 Speaker 3: don't want to be rational about it. But the thing 166 00:08:35,480 --> 00:08:38,000 Speaker 3: about the immigration crisis and the crisis on the border 167 00:08:38,360 --> 00:08:43,120 Speaker 3: is that the volume has become so great the sheer numbers, 168 00:08:43,840 --> 00:08:47,960 Speaker 3: that the likelihood of bad things happen naturally goes up, right, 169 00:08:48,280 --> 00:08:52,120 Speaker 3: Like you just can't let in unvetted millions and millions 170 00:08:52,120 --> 00:08:54,960 Speaker 3: and millions, ten thousand per day at some times and 171 00:08:55,080 --> 00:08:57,760 Speaker 3: think that you're not bringing in some folks who will 172 00:08:57,760 --> 00:08:59,920 Speaker 3: commit these types of crimes, and to be worried about 173 00:08:59,960 --> 00:09:01,520 Speaker 3: that is the right thing. 174 00:09:01,360 --> 00:09:05,160 Speaker 5: To do, you know, Mary Catherine, No other developed country 175 00:09:05,800 --> 00:09:10,199 Speaker 5: has these same kinds of policies everyone else, at least 176 00:09:10,240 --> 00:09:12,760 Speaker 5: at some level. I know Europe has waves of migration too, 177 00:09:12,840 --> 00:09:16,840 Speaker 5: and an illegal migration going on, but that cities would 178 00:09:16,880 --> 00:09:20,360 Speaker 5: be thwarting the will of the federal government, federal law 179 00:09:20,400 --> 00:09:22,600 Speaker 5: enforcement as a part of this mean I think that 180 00:09:23,040 --> 00:09:27,199 Speaker 5: the whole sanctuary jurisdiction mess, it's lawless. 181 00:09:27,200 --> 00:09:27,800 Speaker 4: For one thing. 182 00:09:27,920 --> 00:09:30,360 Speaker 5: I mean, you wouldn't have this if people were doing 183 00:09:30,440 --> 00:09:34,160 Speaker 5: drug trafficking, but what is effectively a form of human trafficking. 184 00:09:34,640 --> 00:09:38,520 Speaker 5: Local law enforcement isn't able to get involved because you're 185 00:09:38,559 --> 00:09:40,720 Speaker 5: dealing with illegals. We saw this in New York City. 186 00:09:40,840 --> 00:09:44,440 Speaker 5: The NYPD had this guy and they released him before 187 00:09:44,520 --> 00:09:47,440 Speaker 5: the detained request could come in. And this is not 188 00:09:47,640 --> 00:09:50,160 Speaker 5: a bug, this is a feature. They do this intentionally. 189 00:09:50,160 --> 00:09:51,840 Speaker 5: They let them out as quickly as they can so 190 00:09:51,880 --> 00:09:54,600 Speaker 5: that ice can't get there in time to try to 191 00:09:54,679 --> 00:09:58,040 Speaker 5: begin a. 192 00:09:56,880 --> 00:09:59,280 Speaker 4: Procedure to remove them from the country. 193 00:09:59,640 --> 00:10:02,800 Speaker 5: So, I mean it's crazy, right. It's not just people say, oh, 194 00:10:02,800 --> 00:10:06,280 Speaker 5: the system is failing. No, people are actively being told 195 00:10:06,280 --> 00:10:09,320 Speaker 5: they should subvert the system. I mean Americans are subverting 196 00:10:09,360 --> 00:10:11,280 Speaker 5: this law enforcement subverting the system. 197 00:10:11,880 --> 00:10:12,080 Speaker 4: Right. 198 00:10:12,440 --> 00:10:16,160 Speaker 3: No, we have incentivized lawlessness. And in the places where 199 00:10:16,200 --> 00:10:19,040 Speaker 3: you incentivize lawlessness, New York is one of them, ATMs 200 00:10:19,080 --> 00:10:21,000 Speaker 3: Clark County is one of them, you end up with 201 00:10:21,040 --> 00:10:23,920 Speaker 3: more lawlessness because the people who are interested in breaking 202 00:10:23,960 --> 00:10:27,800 Speaker 3: the law are very aware that they don't get prosecuted. 203 00:10:27,880 --> 00:10:30,880 Speaker 3: They're very aware that they'll be let go, right, So 204 00:10:30,920 --> 00:10:34,640 Speaker 3: they understand the game and they're happy to take advantage 205 00:10:34,640 --> 00:10:37,240 Speaker 3: of it. Meanwhile, law abiding citizens are the ones who 206 00:10:37,280 --> 00:10:41,280 Speaker 3: often paid the price. Is it's so shameful, it's so irresponsible. 207 00:10:41,760 --> 00:10:44,640 Speaker 3: And you know, I'm cynical about government in general, but 208 00:10:44,800 --> 00:10:47,440 Speaker 3: protecting your citizens is the number one thing you're supposed 209 00:10:47,440 --> 00:10:49,240 Speaker 3: to do, and they're just taking a pass on it 210 00:10:49,280 --> 00:10:51,920 Speaker 3: completely and in fact making it harder to the last 211 00:10:52,200 --> 00:10:52,680 Speaker 3: in your city. 212 00:10:53,200 --> 00:10:56,040 Speaker 1: Last question for you, Mary Catherine. Some people would say, okay, 213 00:10:56,200 --> 00:11:01,080 Speaker 1: violence can happen anywhere to anybody. Why is this Why 214 00:11:01,160 --> 00:11:05,920 Speaker 1: is this being turned into a political, politically connected story. 215 00:11:06,720 --> 00:11:09,560 Speaker 1: How would you respond? And I'm just kind of curious 216 00:11:09,559 --> 00:11:11,920 Speaker 1: about building on that. I'm sure you're on a lot 217 00:11:11,960 --> 00:11:15,960 Speaker 1: of text chains with Georgia grads and Georgia connected people, 218 00:11:16,000 --> 00:11:18,800 Speaker 1: that is, the University of Georgia. What is the general 219 00:11:18,840 --> 00:11:21,319 Speaker 1: consensus among the bulldog nation at this point? 220 00:11:22,640 --> 00:11:25,839 Speaker 3: You know, I think people react emotionally to stories, to 221 00:11:26,040 --> 00:11:29,040 Speaker 3: human stories. So I think, look, sometimes things do become 222 00:11:29,120 --> 00:11:30,920 Speaker 3: lightning rise and it becomes a political story, and you 223 00:11:30,960 --> 00:11:32,760 Speaker 3: go like, Okay, well, why it's so much emphasis on 224 00:11:32,800 --> 00:11:35,440 Speaker 3: this one's story. Sometimes it's media complicity. In this case, 225 00:11:35,440 --> 00:11:37,600 Speaker 3: it's not because they don't really want to talk about this. 226 00:11:37,600 --> 00:11:39,840 Speaker 3: This one is responding to the fact that people are 227 00:11:39,880 --> 00:11:42,520 Speaker 3: emotional about this. Among Georgia grads, I would say that 228 00:11:42,600 --> 00:11:45,360 Speaker 3: even people who are not right of center, left of center, 229 00:11:45,440 --> 00:11:47,800 Speaker 3: central center right folks have been posting about it, of 230 00:11:47,840 --> 00:11:51,000 Speaker 3: course texting me about it, so I think it has 231 00:11:51,320 --> 00:11:54,200 Speaker 3: more reached. A guy on Twitter, I guess the troll 232 00:11:54,280 --> 00:11:56,640 Speaker 3: the other day said to me, Hey, a lot of 233 00:11:57,160 --> 00:12:00,640 Speaker 3: citizens kill people too, so are you scared of them? 234 00:12:00,679 --> 00:12:03,840 Speaker 3: And I was like, well, I'm generally scared of all murders, yes, 235 00:12:04,080 --> 00:12:06,920 Speaker 3: but also here's the point, Like, the question is at 236 00:12:06,920 --> 00:12:09,800 Speaker 3: what point is violent crime preventable? And with every violent 237 00:12:09,840 --> 00:12:13,440 Speaker 3: crime perpetrated by somebody who's in the country illegally, it 238 00:12:13,480 --> 00:12:15,360 Speaker 3: could have been prevented if the law had been enforced 239 00:12:15,360 --> 00:12:17,720 Speaker 3: at that first point, it could have been prevented the 240 00:12:17,800 --> 00:12:20,839 Speaker 3: second time they were arrested, the third time they were arrested. Right, 241 00:12:21,280 --> 00:12:24,120 Speaker 3: those things matter, and we should actually be trying to 242 00:12:24,120 --> 00:12:26,120 Speaker 3: prevent these random crimes from happening. 243 00:12:26,800 --> 00:12:27,760 Speaker 4: Outstanding stuff. 244 00:12:27,760 --> 00:12:30,280 Speaker 1: As always, Mary Katherine Hamp's got a great story up 245 00:12:30,280 --> 00:12:32,000 Speaker 1: at out kick. You can check it out. Thanks for 246 00:12:32,040 --> 00:12:33,719 Speaker 1: the good work and I'm sure we'll talk to you 247 00:12:33,720 --> 00:12:35,760 Speaker 1: again soon, Mary Katherine, thank you very much. 248 00:12:35,800 --> 00:12:38,120 Speaker 4: Guys, she is I. 249 00:12:38,040 --> 00:12:40,560 Speaker 1: Mean that piece I think will will connect with a 250 00:12:40,600 --> 00:12:44,080 Speaker 1: lot of moms and dads out there. And you know, 251 00:12:44,280 --> 00:12:47,880 Speaker 1: just the reason I think Lincoln Riley is connecting with 252 00:12:47,960 --> 00:12:49,800 Speaker 1: so many people is because you can go look at 253 00:12:49,800 --> 00:12:53,880 Speaker 1: her Instagram page. It's still public buck and she is 254 00:12:54,200 --> 00:12:58,880 Speaker 1: as close to what I would say is the average 255 00:12:59,760 --> 00:13:03,040 Speaker 1: girl who is attending an SEC school as can exist. 256 00:13:03,520 --> 00:13:06,000 Speaker 1: And I'm saying that in a very positive way. This 257 00:13:06,040 --> 00:13:08,880 Speaker 1: could have been your granddaughter, This could have been your daughter, 258 00:13:09,679 --> 00:13:12,400 Speaker 1: This has to be rectified, and Biden's going to the 259 00:13:12,440 --> 00:13:16,160 Speaker 1: border on Thursday. It's amazing how often he comments on 260 00:13:16,440 --> 00:13:19,360 Speaker 1: stories that are out there that they want to make 261 00:13:19,559 --> 00:13:22,480 Speaker 1: into a narrative and said anything about this at all. 262 00:13:22,760 --> 00:13:25,680 Speaker 1: In my opinion, he's got blood on his hands. IRS 263 00:13:25,720 --> 00:13:27,720 Speaker 1: scams on the rise. This is the time of year 264 00:13:27,760 --> 00:13:31,200 Speaker 1: when it happened. Cyber thieves the file online tax returns 265 00:13:31,200 --> 00:13:34,160 Speaker 1: in your name and online info, but with their address 266 00:13:34,520 --> 00:13:36,880 Speaker 1: they get the tax refund that's in your name, leaving 267 00:13:36,920 --> 00:13:40,240 Speaker 1: you to contend with the IRS. Some scammers go to 268 00:13:40,280 --> 00:13:42,960 Speaker 1: a greater extent. We'll send you emails, text or call you. 269 00:13:43,000 --> 00:13:45,480 Speaker 1: They'll claim there with the IRS, just need an information 270 00:13:45,559 --> 00:13:48,920 Speaker 1: item or two on your return. Unfortunately, some people fall 271 00:13:49,000 --> 00:13:52,240 Speaker 1: for it. It's important to understand how cybercrime and identity 272 00:13:52,240 --> 00:13:55,240 Speaker 1: theft are affecting our lives. Also important for you to 273 00:13:55,280 --> 00:13:58,760 Speaker 1: know how to protect your online identity. Rely on LifeLock, 274 00:13:58,800 --> 00:14:01,880 Speaker 1: the leader in online idea identity theft protection. Their online 275 00:14:01,920 --> 00:14:05,880 Speaker 1: systems work twenty four to seven monitoring online transactions in 276 00:14:05,920 --> 00:14:08,559 Speaker 1: the hundreds of millions a day, looking for evidence of 277 00:14:08,640 --> 00:14:12,160 Speaker 1: wrongdoing and fraud. If they see a pattern that involves 278 00:14:12,200 --> 00:14:15,199 Speaker 1: your online identity. They're in touch with you immediately. You 279 00:14:15,320 --> 00:14:17,760 Speaker 1: tell them if you've been a victim of identity theft, 280 00:14:17,760 --> 00:14:21,600 Speaker 1: LifeLock will assign a dedicated US based restoration specialist to 281 00:14:21,640 --> 00:14:24,760 Speaker 1: work to fix it. 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Go online to LifeLock dot com use 285 00:14:34,480 --> 00:14:38,200 Speaker 1: that promo code Clay Clay for twenty five percent. 286 00:14:37,960 --> 00:14:43,000 Speaker 2: Off, inspiring you to seek out the truth the Clay 287 00:14:43,080 --> 00:14:44,840 Speaker 2: Travis said Buck Sexton show. 288 00:14:45,360 --> 00:14:52,720 Speaker 7: You will recall that the Russia collusion mess, the whole 289 00:14:52,760 --> 00:14:58,440 Speaker 7: stratagem to destroy Donald Trump by creating this incredibly elaborate 290 00:14:58,600 --> 00:15:02,440 Speaker 7: lie about Trump working with the Kremlin and putin to 291 00:15:02,560 --> 00:15:05,240 Speaker 7: steel elections and all this stuff that was all proven 292 00:15:05,280 --> 00:15:05,920 Speaker 7: to be false. 293 00:15:06,600 --> 00:15:07,640 Speaker 4: They had a special. 294 00:15:07,360 --> 00:15:10,600 Speaker 5: Counsel look into it, and it was all pocus pocus. 295 00:15:10,640 --> 00:15:13,880 Speaker 5: It was all in the land of make believe. And 296 00:15:14,560 --> 00:15:19,280 Speaker 5: even somebody who was a lawyer in the DOJ who 297 00:15:19,800 --> 00:15:22,760 Speaker 5: changed evidence to help get a PFISA war and ended 298 00:15:22,840 --> 00:15:27,200 Speaker 5: up evading prison and really evading any real punishment at all. 299 00:15:28,960 --> 00:15:31,800 Speaker 5: Everybody got away with that, so people were talking to 300 00:15:31,800 --> 00:15:34,760 Speaker 5: the FBI got away with that, right, the Steele dossier 301 00:15:34,960 --> 00:15:37,480 Speaker 5: got away with it all. They all got away with it. 302 00:15:38,640 --> 00:15:41,320 Speaker 5: FBI people involved with it. Even if Trump fired them, 303 00:15:41,360 --> 00:15:44,920 Speaker 5: they ended up getting their old they getting their pensions 304 00:15:44,960 --> 00:15:48,600 Speaker 5: re restored, and they got jobs on MSNBC and book deals, 305 00:15:48,600 --> 00:15:51,320 Speaker 5: et cetera. Right, So no punishment for all the Russia 306 00:15:51,360 --> 00:15:54,480 Speaker 5: collusion lives. I bring it up because there's some news 307 00:15:54,480 --> 00:15:59,800 Speaker 5: from today here that this former FBI informant, this is 308 00:16:00,080 --> 00:16:03,240 Speaker 5: with Weiss, the special counsel looking into a hundred, you know, 309 00:16:03,240 --> 00:16:09,040 Speaker 5: into the Biden stuff. Former FBI informant Smirnov will remain 310 00:16:09,160 --> 00:16:12,000 Speaker 5: in jail awaiting trial. So they say he's a flight 311 00:16:12,120 --> 00:16:14,360 Speaker 5: risk clay so he's now not able to get bombed. 312 00:16:15,360 --> 00:16:18,240 Speaker 5: And they're saying that he lied about the Bidens getting 313 00:16:18,280 --> 00:16:20,440 Speaker 5: a bribe, so they're going to put him in prison. 314 00:16:21,120 --> 00:16:23,480 Speaker 5: And I would just note that in the world of 315 00:16:23,600 --> 00:16:28,560 Speaker 5: intelligence and law enforcement and informants, you don't lock up 316 00:16:28,600 --> 00:16:31,400 Speaker 5: your informants for saying things that aren't true because so 317 00:16:31,520 --> 00:16:35,320 Speaker 5: much of the time they're passing along what they have 318 00:16:35,520 --> 00:16:38,520 Speaker 5: heard or what the rumor may be. So I just note, 319 00:16:38,800 --> 00:16:41,000 Speaker 5: you say things about the bidens. 320 00:16:40,560 --> 00:16:43,040 Speaker 4: That end up being untrue or that we can't prove. 321 00:16:43,120 --> 00:16:45,920 Speaker 5: Yet, you face federal prison and you can't even get bail, 322 00:16:46,320 --> 00:16:49,080 Speaker 5: You lie about Donald Trump for years, and you get 323 00:16:49,080 --> 00:16:49,560 Speaker 5: a promotion. 324 00:16:49,760 --> 00:16:55,240 Speaker 1: Basically, this I think is a calculated attempt. We probably 325 00:16:55,280 --> 00:16:57,000 Speaker 1: should talk about this more tomorrow, because I think you 326 00:16:57,400 --> 00:17:00,720 Speaker 1: have way more expertise by far in this. My read 327 00:17:00,800 --> 00:17:02,960 Speaker 1: on it, Buck is they're going to keep him in 328 00:17:03,000 --> 00:17:08,320 Speaker 1: prison through the election. That will I mean jail pending trial. 329 00:17:08,760 --> 00:17:13,000 Speaker 1: That will allow them to argue, oh, Russia's involved in 330 00:17:13,040 --> 00:17:16,359 Speaker 1: all this Hunter Biden hoax, this is untrue, This is 331 00:17:16,400 --> 00:17:19,879 Speaker 1: a fever dream of the right wing. And then after 332 00:17:19,960 --> 00:17:23,720 Speaker 1: the election they will let this guy out for some 333 00:17:24,560 --> 00:17:29,320 Speaker 1: relatively inconsequential punishment because either Biden will win and there 334 00:17:29,359 --> 00:17:32,040 Speaker 1: won't be a lot to gain from it, or Biden 335 00:17:32,119 --> 00:17:36,080 Speaker 1: will lose and they're not concerned anymore about his impact 336 00:17:36,080 --> 00:17:36,600 Speaker 1: in the election. 337 00:17:36,840 --> 00:17:38,639 Speaker 5: We should say, oh, I think they're going to send 338 00:17:38,680 --> 00:17:40,320 Speaker 5: him to prison to send a message that you can't 339 00:17:40,359 --> 00:17:41,880 Speaker 5: talk about Democrats in this way. 340 00:17:41,920 --> 00:17:42,359 Speaker 4: I don't think that. 341 00:17:42,440 --> 00:17:44,800 Speaker 1: Well, you think if Trump wins, they won't be able 342 00:17:44,800 --> 00:17:46,200 Speaker 1: to get the trial done beforehand. 343 00:17:46,280 --> 00:17:48,600 Speaker 4: So I'm saying that they will then, oh yeah, like 344 00:17:48,640 --> 00:17:49,320 Speaker 4: to let him out. 345 00:17:49,320 --> 00:17:51,880 Speaker 1: They're trying to put him in there now to send 346 00:17:51,880 --> 00:17:55,000 Speaker 1: the message, but they're keeping him in prison in jail. 347 00:17:55,680 --> 00:17:58,359 Speaker 1: This is the guy who said that Beisma was paying 348 00:17:58,480 --> 00:18:02,440 Speaker 1: off uh the yeah, the bidens to avoid punishment, by 349 00:18:02,440 --> 00:18:03,359 Speaker 1: the way, that's the guy. 350 00:18:04,720 --> 00:18:07,879 Speaker 5: There are customer appreciation sales, and then there are My 351 00:18:08,240 --> 00:18:11,399 Speaker 5: Pillow customer appreciation sales. 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Okay, Buck, 369 00:19:05,720 --> 00:19:08,720 Speaker 1: I'm gonna hit you with some polling data that has 370 00:19:08,760 --> 00:19:12,440 Speaker 1: come out today. We talked earlier about the fact that 371 00:19:12,760 --> 00:19:18,479 Speaker 1: in general, the polling in Iowa, New Hampshire, and South 372 00:19:18,520 --> 00:19:23,080 Speaker 1: Carolina as a totality has been fairly accurate. And that's 373 00:19:23,160 --> 00:19:26,600 Speaker 1: even Buck with the challenges of knowing that a lot 374 00:19:26,600 --> 00:19:29,920 Speaker 1: of Democrats and Independence were potentially going to be crossing 375 00:19:30,000 --> 00:19:34,000 Speaker 1: over and voting for Nicky Hayley. So the real Clear 376 00:19:34,040 --> 00:19:38,600 Speaker 1: Politics had Trump winning by twenty three nearly identical vote 377 00:19:38,600 --> 00:19:41,160 Speaker 1: share to what actually ends up happening. 378 00:19:41,200 --> 00:19:42,600 Speaker 2: That's the poll average. 379 00:19:43,000 --> 00:19:45,040 Speaker 1: There's a new poll out today, a couple of different 380 00:19:45,040 --> 00:19:48,919 Speaker 1: polls that I think are fascinating for a variety of levels, 381 00:19:48,960 --> 00:19:51,760 Speaker 1: and let me get your take on them. One the 382 00:19:51,840 --> 00:19:54,960 Speaker 1: Harvard Harris Pole, and I don't think anybody out there is, like, 383 00:19:54,960 --> 00:19:57,840 Speaker 1: you know, who really loves Donald Trump. Harvard, the Harvard 384 00:19:57,920 --> 00:20:01,159 Speaker 1: Harris Pole has Trump ups six head to head on 385 00:20:01,280 --> 00:20:08,320 Speaker 1: Joe Biden seven or eight when third party candidates are included. Also, 386 00:20:08,400 --> 00:20:11,719 Speaker 1: a poll out today from Maine, and I don't know 387 00:20:11,760 --> 00:20:15,320 Speaker 1: how many is it maners? I think it's mayners. I 388 00:20:15,320 --> 00:20:17,640 Speaker 1: don't know how many manors are out there listening to 389 00:20:17,720 --> 00:20:18,480 Speaker 1: us right now. 390 00:20:19,000 --> 00:20:22,080 Speaker 4: I hope a lot of you. But Maine breaks up. 391 00:20:22,119 --> 00:20:26,480 Speaker 1: It's four electoral votes, two go my understanding is based 392 00:20:26,480 --> 00:20:29,600 Speaker 1: on my research, to the winner of the state, and 393 00:20:29,640 --> 00:20:32,800 Speaker 1: then one goes to the winner of each congressional district 394 00:20:33,440 --> 00:20:35,920 Speaker 1: the state. Right now, according to this poll that is out, 395 00:20:35,960 --> 00:20:39,879 Speaker 1: Trump is up six the congressional districts. 396 00:20:40,400 --> 00:20:41,040 Speaker 4: One of them. 397 00:20:41,080 --> 00:20:45,600 Speaker 1: Trump is up twenty twenty points according to this poll, 398 00:20:45,880 --> 00:20:49,840 Speaker 1: which would at minimum give Trump one electoral vote from Maine. 399 00:20:50,240 --> 00:20:54,320 Speaker 1: That's pretty significant, maybe given how close to these things 400 00:20:54,359 --> 00:20:56,600 Speaker 1: could end up being, so just kind of put that away. 401 00:20:57,000 --> 00:20:59,200 Speaker 1: But the thing that really stood out to me, Buck 402 00:20:59,320 --> 00:21:03,520 Speaker 1: is we talked about this earlier. The Biden team seems 403 00:21:03,560 --> 00:21:07,920 Speaker 1: to be building much of their argument for Joe Biden 404 00:21:08,119 --> 00:21:12,520 Speaker 1: on well, we're going to get a conviction before all 405 00:21:12,640 --> 00:21:17,040 Speaker 1: is said and done, of Trump in one of these cases. 406 00:21:17,080 --> 00:21:21,280 Speaker 1: And there's been some conflicting polling on this. What I 407 00:21:21,320 --> 00:21:26,280 Speaker 1: thought was interesting is in this Harvard Harris poll, Trump 408 00:21:26,400 --> 00:21:31,399 Speaker 1: either maintains or grows in his lead now if he 409 00:21:31,560 --> 00:21:38,119 Speaker 1: were convicted of a felony. That is now starting to 410 00:21:38,200 --> 00:21:43,159 Speaker 1: be one the possibility that Trump is benefiting from this 411 00:21:44,240 --> 00:21:46,480 Speaker 1: Wawfair shenanigans from Democrats. 412 00:21:46,760 --> 00:21:49,640 Speaker 4: But two and what I think is more likely. 413 00:21:49,680 --> 00:21:52,280 Speaker 1: And we've had this debate for a while, discussion as 414 00:21:52,320 --> 00:21:55,200 Speaker 1: there's been data coming out. I think it's all kind 415 00:21:55,200 --> 00:21:58,760 Speaker 1: of baked in because I think people now understand Democrats 416 00:21:58,800 --> 00:22:00,920 Speaker 1: hate Trump, they want to get it, and it's not. 417 00:22:01,040 --> 00:22:02,840 Speaker 4: Really gonna move that much. 418 00:22:02,920 --> 00:22:06,440 Speaker 1: But the data from this Harvard Harris poll is now saying, yeah, 419 00:22:06,480 --> 00:22:10,680 Speaker 1: the whole waffair business, even with convictions, isn't going to 420 00:22:10,720 --> 00:22:11,960 Speaker 1: move the opinions that much. 421 00:22:13,840 --> 00:22:17,720 Speaker 5: I at that point you start to think that the 422 00:22:17,960 --> 00:22:21,919 Speaker 5: Democrats have got to be thinking there's something of something 423 00:22:21,920 --> 00:22:24,720 Speaker 5: else up the sleeve, or there's some other I'm not 424 00:22:24,760 --> 00:22:27,880 Speaker 5: sure what it would be quite yet. Maybe perception would 425 00:22:27,880 --> 00:22:29,880 Speaker 5: shift on that over time. I do think that there's 426 00:22:29,880 --> 00:22:33,440 Speaker 5: so much noise. You know, you saw it was about 427 00:22:33,440 --> 00:22:35,840 Speaker 5: a week ago, and I forget where it was. Axios 428 00:22:35,840 --> 00:22:37,920 Speaker 5: New York Times. All that stuff's the same, the same 429 00:22:37,960 --> 00:22:41,800 Speaker 5: people writing for the same audience, but not at BuzzFeed 430 00:22:42,040 --> 00:22:44,160 Speaker 5: or Vice quite as much. 431 00:22:44,440 --> 00:22:45,280 Speaker 4: Womp womp. 432 00:22:45,320 --> 00:22:48,080 Speaker 5: But anyway, you know, all the other places, the same 433 00:22:48,119 --> 00:22:50,879 Speaker 5: audience for the same you know, there same writers for 434 00:22:50,920 --> 00:22:53,320 Speaker 5: the same audience basically. And here's what I what I 435 00:22:53,359 --> 00:22:56,800 Speaker 5: think is the challenge for them. They wrote a piece 436 00:22:56,840 --> 00:23:02,000 Speaker 5: about fatigue of the resistance. Yeah, the fatigue of the resistance. 437 00:23:02,760 --> 00:23:06,520 Speaker 5: It is possible at some point that the mass hysteria 438 00:23:06,640 --> 00:23:10,080 Speaker 5: around Trump reaches that phase where all the lunatics who 439 00:23:10,080 --> 00:23:14,040 Speaker 5: have been shrieking their voices become hoarse and they're tired, 440 00:23:14,080 --> 00:23:16,160 Speaker 5: and it's time to go home to mommy, Like they 441 00:23:16,200 --> 00:23:18,600 Speaker 5: can't actually keep doing it the same at the same 442 00:23:18,960 --> 00:23:22,480 Speaker 5: fever pitch that they have. I don't know if that's 443 00:23:22,640 --> 00:23:27,159 Speaker 5: really occurring, but I do think that they've thrown so 444 00:23:27,480 --> 00:23:30,600 Speaker 5: much at Trump at this point that it does start 445 00:23:30,640 --> 00:23:33,520 Speaker 5: to feel like noise. You know, if you're gonna think 446 00:23:33,520 --> 00:23:36,119 Speaker 5: of it like a court context, if you're going to 447 00:23:36,160 --> 00:23:38,880 Speaker 5: if you charge someone with murder, you're saying they're a murderer. 448 00:23:39,240 --> 00:23:44,880 Speaker 5: If you charge someone with thirty different statutes and none 449 00:23:44,960 --> 00:23:49,439 Speaker 5: of them really sound all that intimidating or serious. It 450 00:23:49,520 --> 00:23:52,880 Speaker 5: sounds like you're just running games and trying to destroy somebody, right, 451 00:23:52,880 --> 00:23:56,920 Speaker 5: because it all just gets mixed in together. And and 452 00:23:56,960 --> 00:23:59,639 Speaker 5: I think that the noise blocks out the signal and 453 00:23:59,840 --> 00:24:02,919 Speaker 5: there may be some effect with that. But again, the 454 00:24:03,200 --> 00:24:07,400 Speaker 5: entrench sides here we have the kind of political equivalent 455 00:24:07,400 --> 00:24:10,200 Speaker 5: of the Russia Ukraine war. Like it's not moving, it's 456 00:24:10,280 --> 00:24:13,959 Speaker 5: just two sides going at it and not really very 457 00:24:14,080 --> 00:24:16,920 Speaker 5: much change in territory or for those of your first 458 00:24:17,320 --> 00:24:20,520 Speaker 5: First World War buffs, it's a bit like trench warfare 459 00:24:20,560 --> 00:24:23,399 Speaker 5: in the original sense. We're not nothing. Seems to be 460 00:24:23,480 --> 00:24:25,800 Speaker 5: moving the needle very much right now, although the needle 461 00:24:25,840 --> 00:24:28,960 Speaker 5: has turned against Biden to be fair, in the last year. 462 00:24:29,800 --> 00:24:32,239 Speaker 2: Buck, think about this analogy. Tell me if you buy it. 463 00:24:33,920 --> 00:24:38,960 Speaker 1: Most people with COVID at some point they had a 464 00:24:38,960 --> 00:24:43,200 Speaker 1: breaking point, and for you and me, our breaking point 465 00:24:43,320 --> 00:24:48,000 Speaker 1: was like May of April. We were we were early 466 00:24:48,080 --> 00:24:50,679 Speaker 1: breakers on the COVID universe. 467 00:24:50,720 --> 00:24:52,280 Speaker 5: I had this guy on my radio show. I was like, 468 00:24:52,280 --> 00:24:55,400 Speaker 5: who is this, Clay Travis who also hates the masks. 469 00:24:55,600 --> 00:24:58,200 Speaker 5: He is a sportsman fan. Let us talk. 470 00:24:59,040 --> 00:25:02,280 Speaker 1: So you and I were early on that a lot 471 00:25:02,320 --> 00:25:05,520 Speaker 1: of you out there either were even some of you 472 00:25:05,560 --> 00:25:10,199 Speaker 1: were earlier than us, but gradually, I would say a 473 00:25:10,240 --> 00:25:13,320 Speaker 1: lot of you came around on masking two year olds 474 00:25:13,359 --> 00:25:18,520 Speaker 1: made no sense, and you heard constantly those arguments being made, 475 00:25:18,800 --> 00:25:22,480 Speaker 1: and what's happened. There's still those arguments being made. Rolling 476 00:25:22,560 --> 00:25:26,640 Speaker 1: stone buck over the frigging Weekend had a full article 477 00:25:27,119 --> 00:25:30,200 Speaker 1: about what in ninety five mask was the best one 478 00:25:30,240 --> 00:25:31,639 Speaker 1: for you to be wearing. I don't know if you 479 00:25:31,680 --> 00:25:35,399 Speaker 1: saw Taylor Rins with the Washington Post set down with 480 00:25:35,440 --> 00:25:39,480 Speaker 1: our friend from Libs of TikTok and she wore a 481 00:25:39,520 --> 00:25:42,680 Speaker 1: mask outdoors to conduct the interviews. 482 00:25:43,280 --> 00:25:45,600 Speaker 4: Do we have the audio from the sit down with her? 483 00:25:45,920 --> 00:25:48,080 Speaker 1: It's increasb I that maybe we could have Maybe we 484 00:25:48,080 --> 00:25:50,280 Speaker 1: can do that tomorrow on maybe we get high. 485 00:25:50,480 --> 00:25:52,159 Speaker 4: Oh no, we have it. We have it, We have 486 00:25:52,200 --> 00:25:53,120 Speaker 4: the audience. Let's play. 487 00:25:53,200 --> 00:25:55,400 Speaker 5: So we hire from Libs of TikTok as a friend 488 00:25:55,400 --> 00:25:58,280 Speaker 5: of ours. She's done amazing work and the ferocity with 489 00:25:58,320 --> 00:26:01,160 Speaker 5: which the left and the and the live media hates 490 00:26:01,200 --> 00:26:05,160 Speaker 5: her is a testament to her efficacy. Like she manages 491 00:26:05,200 --> 00:26:07,480 Speaker 5: to make the case just by showing you what they say. 492 00:26:07,920 --> 00:26:10,400 Speaker 5: Kila the Renz has a big old and ninety five 493 00:26:10,680 --> 00:26:13,960 Speaker 5: sitting outside. Yeah, she couldn't even get Fauci to say 494 00:26:14,000 --> 00:26:14,840 Speaker 5: this makes sense. 495 00:26:14,960 --> 00:26:20,400 Speaker 4: It makes no sense that audience and stuff. 496 00:26:20,400 --> 00:26:22,879 Speaker 8: Because I'm curious, what are your thoughts on that cool ideology? 497 00:26:23,240 --> 00:26:25,359 Speaker 6: There were some minds over the past three years that 498 00:26:25,440 --> 00:26:29,120 Speaker 6: there were more illegals coming into our border than children 499 00:26:29,160 --> 00:26:32,600 Speaker 6: being born in the US. Does that not look like 500 00:26:32,600 --> 00:26:36,240 Speaker 6: they're trying to replace us? I guess I'm sort of 501 00:26:36,280 --> 00:26:39,160 Speaker 6: imagination that has poulation melting pot. 502 00:26:39,280 --> 00:26:40,840 Speaker 8: Isn't that sort of what America has founding? 503 00:26:41,000 --> 00:26:43,679 Speaker 6: But they're they're actually bringing in more people than are 504 00:26:43,720 --> 00:26:44,520 Speaker 6: actually being more. 505 00:26:45,160 --> 00:26:46,920 Speaker 8: So I guess if you it sounds like you sort 506 00:26:46,920 --> 00:26:49,359 Speaker 8: of do ascribe to this theory of the great replacement? 507 00:26:50,040 --> 00:26:50,479 Speaker 3: How does that? 508 00:26:50,560 --> 00:26:52,160 Speaker 6: I just look at the thoughts and the numbers. 509 00:26:52,240 --> 00:26:55,359 Speaker 8: Well, so, I mean, just let's give a corollary, right, 510 00:26:55,359 --> 00:26:57,760 Speaker 8: A lot of Jewish people fled you know, Europe, came 511 00:26:57,760 --> 00:27:00,359 Speaker 8: over here also as immigrants, and there's a lot of 512 00:27:00,359 --> 00:27:03,720 Speaker 8: criticism towards Jewish people in those movements, in those far 513 00:27:03,800 --> 00:27:05,800 Speaker 8: right movements. So I'm just wondering, as a Jewish women, 514 00:27:05,880 --> 00:27:07,960 Speaker 8: sort of how you feel about that and your role 515 00:27:08,000 --> 00:27:10,879 Speaker 8: in cultivating the standis that might think of you as 516 00:27:10,960 --> 00:27:12,960 Speaker 8: an as a minority or an outsiders. 517 00:27:13,920 --> 00:27:15,520 Speaker 6: Not all cultures are equal. 518 00:27:17,560 --> 00:27:19,919 Speaker 4: That's but so this is a conversation that's going on. 519 00:27:20,119 --> 00:27:22,360 Speaker 1: We should get high on at some point, maybe this week, 520 00:27:22,400 --> 00:27:25,040 Speaker 1: to talk about it, because my point on the analogy 521 00:27:25,080 --> 00:27:26,120 Speaker 1: I'm making here podcast. 522 00:27:26,119 --> 00:27:27,080 Speaker 4: Sure, now, let's do it. 523 00:27:27,400 --> 00:27:32,400 Speaker 1: At some point, we got to a situation where, even 524 00:27:32,440 --> 00:27:38,520 Speaker 1: if they wouldn't acknowledge it, only five percent of American parents, 525 00:27:38,560 --> 00:27:41,399 Speaker 1: I believe is the current number, have continued to get 526 00:27:41,480 --> 00:27:42,080 Speaker 1: their kids. 527 00:27:42,119 --> 00:27:43,200 Speaker 4: The latest booster. 528 00:27:44,359 --> 00:27:49,920 Speaker 1: Ninety five percent of Americans nineteen out of twenty parents said, 529 00:27:49,960 --> 00:27:51,960 Speaker 1: you know what, my kids are good. I don't need 530 00:27:52,000 --> 00:27:54,160 Speaker 1: to get them a COVID shot. Only forty percent ever 531 00:27:54,200 --> 00:27:56,080 Speaker 1: got the covidh I think it was forty percent ever 532 00:27:56,119 --> 00:27:58,879 Speaker 1: got the COVID shot in the first place. So substantial 533 00:27:58,880 --> 00:28:01,680 Speaker 1: majorities of parents who care about their kids more than 534 00:28:01,680 --> 00:28:07,040 Speaker 1: anything said I don't think this is necessary. Because all 535 00:28:07,080 --> 00:28:11,960 Speaker 1: of the COVID doom eventually became noise, and people went 536 00:28:12,000 --> 00:28:13,760 Speaker 1: to Florida and they went to an amusement park and 537 00:28:13,800 --> 00:28:15,919 Speaker 1: they thought, wait a minute, you know, like what am 538 00:28:15,960 --> 00:28:19,760 Speaker 1: I doing in my life right now? I wonder whether Buck, 539 00:28:20,359 --> 00:28:24,439 Speaker 1: the Trump is hitler, the Trump is evil, the Trump 540 00:28:24,480 --> 00:28:29,040 Speaker 1: is going to destroy American democracy. Whether what they're really 541 00:28:29,160 --> 00:28:33,119 Speaker 1: saying is it's not motivating or moving the numbers, and 542 00:28:33,160 --> 00:28:35,440 Speaker 1: you're seeing it Buck, it's not happening on cn N 543 00:28:35,520 --> 00:28:42,400 Speaker 1: or MSNBC's ratings. The overall news traffic has collapsed surrounding Trump. 544 00:28:42,480 --> 00:28:44,200 Speaker 1: I think people are inured to it. 545 00:28:44,920 --> 00:28:51,800 Speaker 5: You know, in psychotherapy psychology, they have something called immersion 546 00:28:52,040 --> 00:28:55,680 Speaker 5: therapy as a way to get beyond your fears right 547 00:28:55,800 --> 00:29:00,960 Speaker 5: fears and trauma traumatic experience. So you know, if you're 548 00:29:01,200 --> 00:29:05,720 Speaker 5: terribly afraid of spiders, maybe you know, look, don't do 549 00:29:05,840 --> 00:29:08,320 Speaker 5: this like this. You know, have a trained professional who 550 00:29:08,360 --> 00:29:10,720 Speaker 5: is your a psychoanalyst. But I'm just saying it's something 551 00:29:10,720 --> 00:29:13,320 Speaker 5: like you're afraid of spiders, you start getting introduced to 552 00:29:13,360 --> 00:29:15,080 Speaker 5: spiders a little bit, and eventually you got a big, 553 00:29:15,120 --> 00:29:17,440 Speaker 5: you know, furry tarantula crawling up your arm like some 554 00:29:17,480 --> 00:29:19,760 Speaker 5: of our audience who actually likes these things as pets, 555 00:29:19,920 --> 00:29:22,959 Speaker 5: and you're not scared of you know, irrachnophobia disappears, right 556 00:29:23,080 --> 00:29:24,400 Speaker 5: or or it's lesson. 557 00:29:24,440 --> 00:29:25,800 Speaker 4: It's not disappeared, but it's lessened. 558 00:29:26,720 --> 00:29:29,120 Speaker 5: Maybe there's something of an immersion therapy going on with 559 00:29:29,160 --> 00:29:31,280 Speaker 5: some people here with if you call Trump hitler enough 560 00:29:31,320 --> 00:29:35,000 Speaker 5: for so many years and really he just says, funny 561 00:29:35,000 --> 00:29:37,120 Speaker 5: thing shows up, you know, plays a lot of golf 562 00:29:37,360 --> 00:29:40,040 Speaker 5: and like wants a booming economy and a secure border 563 00:29:40,080 --> 00:29:42,280 Speaker 5: like it. You know, maybe after a while you realized 564 00:29:42,280 --> 00:29:44,960 Speaker 5: he's not actually Hitler. You know, you've you've, you've you've 565 00:29:45,000 --> 00:29:47,920 Speaker 5: created the environment where people can no longer maintain that 566 00:29:48,040 --> 00:29:51,160 Speaker 5: level of anxiety, so it naturally declines a little bit. 567 00:29:51,160 --> 00:29:53,560 Speaker 5: But then again, maybe it's February of twenty twenty four, Clay, 568 00:29:53,920 --> 00:29:56,360 Speaker 5: and they're going to turn the dial spinal tap style 569 00:29:56,440 --> 00:29:57,520 Speaker 5: up to eleven. 570 00:29:57,360 --> 00:29:59,640 Speaker 1: In about six months. I think they're going to turn 571 00:29:59,640 --> 00:30:01,640 Speaker 1: a dial. I think a lot of people are tuned out, 572 00:30:02,400 --> 00:30:05,600 Speaker 1: and that is my theory going in. And if that 573 00:30:05,760 --> 00:30:11,240 Speaker 1: is true, I think by Memorial Day you're gonna see 574 00:30:11,280 --> 00:30:15,880 Speaker 1: a Democrat panic, like when the Titanic hit the iceberg 575 00:30:16,240 --> 00:30:18,000 Speaker 1: and everybody's trying to get on the lifeboats. 576 00:30:18,160 --> 00:30:21,400 Speaker 5: I love you, I love your optimism and enthusiasm. I 577 00:30:21,440 --> 00:30:23,440 Speaker 5: cannot share it because I just think that the world 578 00:30:23,520 --> 00:30:26,720 Speaker 5: is a cruel and unforgiving place, and the Left is monstrous. 579 00:30:26,760 --> 00:30:29,080 Speaker 4: So I you know, but this is good. 580 00:30:29,160 --> 00:30:31,360 Speaker 5: You're gonna have Clay telling you that the forces of 581 00:30:32,080 --> 00:30:35,160 Speaker 5: good are going to triumph over evil that you know, 582 00:30:35,280 --> 00:30:37,680 Speaker 5: in the in the Battle of the Five Armies, Gandalf 583 00:30:37,720 --> 00:30:39,800 Speaker 5: is gonna show up just in time with the Eagles 584 00:30:39,880 --> 00:30:42,480 Speaker 5: or whatever. And I'm here like, no, Soron always wins 585 00:30:42,480 --> 00:30:44,840 Speaker 5: in the end, so it'll be okay, we'll figure it out. 586 00:30:45,080 --> 00:30:46,720 Speaker 1: I just mix my books. But you know, it doesn't 587 00:30:46,760 --> 00:30:50,480 Speaker 1: I it's very very good analogy. And I'm laughing a 588 00:30:50,520 --> 00:30:54,560 Speaker 1: little bit because over the weekend in my nerd out world, 589 00:30:54,720 --> 00:30:57,479 Speaker 1: in addition to watching college basketball, which I'm gonna get 590 00:30:57,480 --> 00:30:59,360 Speaker 1: to in a sec. Buck, did you watch extended version? 591 00:31:00,760 --> 00:31:05,719 Speaker 1: I am obsessed now with the English royal family history. 592 00:31:06,040 --> 00:31:07,120 Speaker 4: I am. 593 00:31:07,240 --> 00:31:10,200 Speaker 1: I went on and I bought like five different Henry 594 00:31:10,240 --> 00:31:13,800 Speaker 1: the Eighth books, like I am going all in on 595 00:31:14,960 --> 00:31:17,280 Speaker 1: watching the extended Lord of the Rings version, which is 596 00:31:17,280 --> 00:31:20,000 Speaker 1: available on Max now, which is it's like a whole 597 00:31:20,000 --> 00:31:22,040 Speaker 1: it's a whole new movie. It's another hour and a 598 00:31:22,120 --> 00:31:24,720 Speaker 1: half of content like per movie. It's crazy how long 599 00:31:24,760 --> 00:31:25,160 Speaker 1: these things. 600 00:31:25,280 --> 00:31:26,200 Speaker 4: I watched a movie. 601 00:31:25,960 --> 00:31:28,959 Speaker 1: Called American Fiction, which is one of the most interesting 602 00:31:28,960 --> 00:31:32,080 Speaker 1: movies I've seen in some time, I do have breaking. 603 00:31:31,880 --> 00:31:33,240 Speaker 4: News, and since we are a news show, can I 604 00:31:33,240 --> 00:31:34,480 Speaker 4: tell you what the breaking news is and then we 605 00:31:34,520 --> 00:31:36,200 Speaker 4: can handle it. We come back. Yeah, what's the news? 606 00:31:36,800 --> 00:31:41,240 Speaker 5: In the Trump criminal case in Manhattan, Bragg is asking 607 00:31:41,320 --> 00:31:45,320 Speaker 5: for a gag order on Trump before the trial. Well, 608 00:31:45,320 --> 00:31:48,640 Speaker 5: of course he is just just came down. You can't 609 00:31:48,680 --> 00:31:50,680 Speaker 5: talk about it, can proscut and can't talk about it. 610 00:31:50,720 --> 00:31:53,920 Speaker 4: We'll discuss. That's gonna be interesting in the meantime. 611 00:31:53,920 --> 00:31:57,000 Speaker 1: I just mentioned I watched watched college basketball over the weekend. 612 00:31:57,040 --> 00:31:59,440 Speaker 1: I mean, I gave you three picks on Saturday. If 613 00:31:59,440 --> 00:32:02,600 Speaker 1: you happen to be on Twitter. I said, Kentucky is 614 00:32:02,640 --> 00:32:05,640 Speaker 1: gonna run Alabama. They did a lot of points are 615 00:32:05,640 --> 00:32:08,240 Speaker 1: going to be scored. And I said Tennessee was gonna 616 00:32:08,240 --> 00:32:09,760 Speaker 1: take care of Texas, aying them I went three to 617 00:32:09,840 --> 00:32:13,040 Speaker 1: oh on those picks. This week, as we get closer 618 00:32:13,080 --> 00:32:15,320 Speaker 1: to March Madness, I'm gonna give you some picks on 619 00:32:15,440 --> 00:32:17,720 Speaker 1: prize picks, and I want all of you to download 620 00:32:17,760 --> 00:32:21,280 Speaker 1: this app. This is America's number one fantasy sports app. 621 00:32:21,520 --> 00:32:24,040 Speaker 1: You can play it in California, you can play it 622 00:32:24,080 --> 00:32:27,360 Speaker 1: in Texas, you can play it in Georgia. If you've 623 00:32:27,400 --> 00:32:32,800 Speaker 1: been feeling left out of the fun, go to prizepicks 624 00:32:32,840 --> 00:32:35,760 Speaker 1: dot com right now, put in my code Clay. Just 625 00:32:35,840 --> 00:32:45,560 Speaker 1: pick more or less, tons of different individual athletes, golf, tennis, basketball, NBA, college, 626 00:32:45,680 --> 00:32:48,640 Speaker 1: you name it. If there's a sporting event going on, 627 00:32:49,000 --> 00:32:50,840 Speaker 1: you can go more or less and you can get 628 00:32:50,880 --> 00:32:52,840 Speaker 1: hooked up in a big way with prize Picks. 629 00:32:52,840 --> 00:32:55,320 Speaker 4: And right now they got an incredible offer. If you 630 00:32:55,400 --> 00:32:56,719 Speaker 4: put in one hundred dollars. 631 00:32:57,000 --> 00:32:59,120 Speaker 1: You go to prizepicks dot com, you use my name Clay, 632 00:32:59,120 --> 00:33:01,719 Speaker 1: you put on one hundred dollars, They'll give you one 633 00:33:01,800 --> 00:33:03,160 Speaker 1: hundred dollars free. 634 00:33:03,560 --> 00:33:06,320 Speaker 4: They will double what you can take. 635 00:33:07,120 --> 00:33:10,360 Speaker 1: And if you get hooked up lots of great matchups 636 00:33:10,400 --> 00:33:13,120 Speaker 1: coming up March Madness a couple of weeks away. Use 637 00:33:13,160 --> 00:33:15,240 Speaker 1: my name Clay, and they'll give you one hundred bucks 638 00:33:15,240 --> 00:33:17,200 Speaker 1: if you deposit one hundred. If you deposit ten, they'll 639 00:33:17,200 --> 00:33:20,440 Speaker 1: give you ten. Whatever you deposit, they will double for 640 00:33:20,520 --> 00:33:22,720 Speaker 1: you up to one hundred bucks. I'm not sure we 641 00:33:22,760 --> 00:33:24,800 Speaker 1: ever do ads where we say basically, hey, you can 642 00:33:24,800 --> 00:33:26,800 Speaker 1: get one hundred dollars if you just go to prizepicks 643 00:33:26,800 --> 00:33:30,320 Speaker 1: dot com, slash Clay and deposit one hundred, get hooked up. 644 00:33:30,360 --> 00:33:33,080 Speaker 1: Prize picks, pick more, pick less, it's that easy. Prize 645 00:33:33,080 --> 00:33:37,400 Speaker 1: picks dot com. Use my name Clay see Lay have 646 00:33:37,560 --> 00:33:41,320 Speaker 1: fun with the guys on Sundays, the Sunday Hang Podcast. 647 00:33:41,440 --> 00:33:44,280 Speaker 4: It's silly, it's goofy, it's good times. 648 00:33:44,760 --> 00:33:47,120 Speaker 1: Fight it in the Clay and Buck podcast feed, on 649 00:33:47,200 --> 00:33:50,400 Speaker 1: the iHeartRadio app or wherever you get your podcasts. 650 00:33:50,480 --> 00:33:53,760 Speaker 5: Close enough shop here on Clay and Buck for the day, 651 00:33:54,200 --> 00:33:56,240 Speaker 5: and I want to remind you to subscribe to Clay 652 00:33:56,400 --> 00:33:59,960 Speaker 5: and Buck podcast network. We added our friend Sean Parnell, 653 00:34:00,360 --> 00:34:03,320 Speaker 5: who is a badass and a great all around guy 654 00:34:03,520 --> 00:34:09,320 Speaker 5: and a really interesting podcaster, army veteran best selling author, 655 00:34:10,239 --> 00:34:15,919 Speaker 5: So definitely check out that show Battlefield or Battleground rather 656 00:34:16,000 --> 00:34:19,840 Speaker 5: with Sean Parnell. Battlefield sounds cool too. And we also 657 00:34:19,920 --> 00:34:23,360 Speaker 5: have a whole bunch of other folks on there, including 658 00:34:23,560 --> 00:34:28,520 Speaker 5: Tutor Dition, Carol Markowitz and many Oh. Lisa Booth is 659 00:34:28,520 --> 00:34:32,840 Speaker 5: in our miscast feed, so got some lady voices stacked 660 00:34:32,920 --> 00:34:34,840 Speaker 5: up in there too, which is excellent. You want to 661 00:34:34,880 --> 00:34:36,520 Speaker 5: call for a cliff, Clay, which one was it you 662 00:34:36,520 --> 00:34:37,600 Speaker 5: were saying to me a second ago. 663 00:34:37,640 --> 00:34:38,080 Speaker 4: I want to make it. 664 00:34:38,160 --> 00:34:42,759 Speaker 1: Yesak So, I watched Saturday Night Live actually over the 665 00:34:42,800 --> 00:34:45,160 Speaker 1: weekend because I was curious how Shane Gillis was going 666 00:34:45,200 --> 00:34:46,759 Speaker 1: to do. Who's been a little bit more of a 667 00:34:46,800 --> 00:34:50,480 Speaker 1: rebellious voice in comedy? And I thought to myself, surely 668 00:34:50,560 --> 00:34:53,600 Speaker 1: they'll have some actual humor associated with Fanny Willis and 669 00:34:53,680 --> 00:34:56,680 Speaker 1: Nathan Wade, because it's one of the easiest segments maybe 670 00:34:56,680 --> 00:35:02,920 Speaker 1: that has ever existed. Instead, crazily, instead, they had almost 671 00:35:02,920 --> 00:35:06,239 Speaker 1: nothing that was interesting. The cold open was awful. But 672 00:35:06,480 --> 00:35:10,799 Speaker 1: this from Italy is what comedy should be. They are 673 00:35:10,920 --> 00:35:15,360 Speaker 1: ridiculing Joe Biden on the Italian version of Saturday Night Live. 674 00:35:15,880 --> 00:35:22,480 Speaker 4: Listen. I said to the President of Israel, see Mikail Gorbachev. 675 00:35:22,760 --> 00:35:26,840 Speaker 3: No no, non Gorbachev, Non Gorbachev, President of the Israeli No. 676 00:35:26,400 --> 00:35:31,319 Speaker 4: No, sorry, Michael Jordan, no no, Well they went to 677 00:35:31,480 --> 00:35:32,759 Speaker 4: the moon and. 678 00:35:35,080 --> 00:35:36,000 Speaker 3: It was shocked. 679 00:35:44,360 --> 00:35:54,040 Speaker 1: No, what does it say, bot that Italy is better 680 00:35:54,239 --> 00:35:58,960 Speaker 1: at humor associated with Joe Biden than the actual American 681 00:35:59,000 --> 00:36:02,120 Speaker 1: comedic establ listen it is it is somewhat interesting. 682 00:36:02,160 --> 00:36:04,360 Speaker 2: If you liked that audio at all, the video is 683 00:36:04,520 --> 00:36:05,360 Speaker 2: very very funny. 684 00:36:06,120 --> 00:36:06,359 Speaker 4: Sack. 685 00:36:06,440 --> 00:36:09,399 Speaker 5: Yeah, I need to work on my Iteliano a little 686 00:36:09,440 --> 00:36:12,719 Speaker 5: bit there. But yes, you can't make fun of Joe 687 00:36:12,719 --> 00:36:15,640 Speaker 5: Biden at SNL, which is why SNL is not funny. 688 00:36:15,800 --> 00:36:18,520 Speaker 5: But we are funny here on this show, and we're 689 00:36:18,560 --> 00:36:21,360 Speaker 5: gonna have more to talk about Tomorrow. Isn't uh Michigan Tomorrow? 690 00:36:21,360 --> 00:36:21,799 Speaker 4: Am I right? 691 00:36:22,360 --> 00:36:25,040 Speaker 1: Michigan is the primary Tomorrow. We'll see what happens not 692 00:36:25,120 --> 00:36:29,280 Speaker 1: only with Trump v. Nikki Haley big win for Trump spoiler, 693 00:36:29,360 --> 00:36:34,040 Speaker 1: but how many people actually vote no decision on Biden. 694 00:36:34,160 --> 00:36:35,560 Speaker 4: Basically, the more. 695 00:36:35,400 --> 00:36:38,879 Speaker 5: Interesting thing is looking at the tea leaves for how 696 00:36:38,920 --> 00:36:43,000 Speaker 5: this is the general election because spoiler alert for tomorrow 697 00:36:43,080 --> 00:36:45,759 Speaker 5: at Michigan, Trump is going to win in the primary. 698 00:36:45,880 --> 00:36:48,359 Speaker 4: But there'll be more data and we will make sense 699 00:36:48,360 --> 00:36:49,200 Speaker 4: of it here together