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 --> 00:00:04,720 Speaker 1: Sexton Show podcast. 3 00:00:05,080 --> 00:00:07,800 Speaker 2: The third Hour Clay and Buck kicks off right now 4 00:00:07,840 --> 00:00:13,720 Speaker 2: on this super duper Tuesday. Fifteen states plus American Samoa 5 00:00:15,040 --> 00:00:20,279 Speaker 2: voting over the course of today for the Republican primary 6 00:00:21,120 --> 00:00:24,560 Speaker 2: might be pretty much over by the time we talk tomorrow, 7 00:00:25,680 --> 00:00:28,280 Speaker 2: though Nikki Haley has not indicated whether she will actually 8 00:00:28,320 --> 00:00:31,880 Speaker 2: drop out yet or not, So we will have those 9 00:00:32,640 --> 00:00:36,080 Speaker 2: results for you and we'll take a look at what 10 00:00:36,200 --> 00:00:41,400 Speaker 2: also it tells us about the likely voting patterns as 11 00:00:41,400 --> 00:00:45,920 Speaker 2: they could affect some general election outcomes. We talked before 12 00:00:46,040 --> 00:00:50,360 Speaker 2: Ryan Gradusky, our buddy about the Latino vote. We'll also 13 00:00:50,400 --> 00:00:53,000 Speaker 2: look at how the suburbs turn out and all of this, 14 00:00:53,040 --> 00:00:55,240 Speaker 2: so there'll be some data to pars to go through 15 00:00:55,240 --> 00:00:58,040 Speaker 2: to give us a window into what the future may. 16 00:00:57,920 --> 00:00:59,200 Speaker 3: Hold of this general election. 17 00:00:59,440 --> 00:01:01,720 Speaker 2: But we were gonna take a step back for a 18 00:01:01,720 --> 00:01:06,720 Speaker 2: moment and talk about manners and consideration. And I think 19 00:01:06,760 --> 00:01:09,480 Speaker 2: manners and consideration are very very important. I will have 20 00:01:09,560 --> 00:01:14,760 Speaker 2: you know, I find myself increasingly in the get off 21 00:01:14,800 --> 00:01:15,280 Speaker 2: my lawn. 22 00:01:15,560 --> 00:01:18,839 Speaker 4: You're a grumpy old man. Let's be honest. This fine, 23 00:01:19,240 --> 00:01:19,800 Speaker 4: It is fine. 24 00:01:20,560 --> 00:01:23,720 Speaker 2: I try to tell everybody, you know, no no cell 25 00:01:23,760 --> 00:01:26,080 Speaker 2: phones at the dinner table, for example, and people look 26 00:01:26,080 --> 00:01:26,800 Speaker 2: at me like I'm crazy. 27 00:01:26,840 --> 00:01:28,319 Speaker 3: I'm like, what are we barbarians? No? 28 00:01:28,319 --> 00:01:33,400 Speaker 2: No no phones at the table. Also, I find myself 29 00:01:33,480 --> 00:01:37,479 Speaker 2: increasingly outraged. This is a bigger thing in South Florida. 30 00:01:37,560 --> 00:01:39,080 Speaker 2: I will say that it was even in New York 31 00:01:39,120 --> 00:01:44,679 Speaker 2: by far. People who have in crowded public places speaker 32 00:01:44,720 --> 00:01:48,640 Speaker 2: phone conversations on their phone, like everybody else should. 33 00:01:48,440 --> 00:01:51,200 Speaker 5: Hear yeah, Bob, Yeah, you gotta finish that deal for me. Yeah, 34 00:01:51,200 --> 00:01:53,800 Speaker 5: but you know they're gonna yell. You know, okay, Tom, 35 00:01:53,840 --> 00:01:56,120 Speaker 5: you know, just have it all right, Sally, you know, 36 00:01:56,280 --> 00:01:59,360 Speaker 5: just you're hearing everything, and you're hearing the crackling and 37 00:01:59,400 --> 00:02:01,960 Speaker 5: everything coming through it, and you know, as if this 38 00:02:02,000 --> 00:02:04,000 Speaker 5: is somehow not, this is barbarous. 39 00:02:04,240 --> 00:02:07,080 Speaker 3: Okay, this is this is what I would expect. 40 00:02:06,880 --> 00:02:09,560 Speaker 4: Just to ask you about this, because I I think 41 00:02:09,840 --> 00:02:13,480 Speaker 4: the phone doesn't actually work that well on phones anymore. 42 00:02:14,080 --> 00:02:16,880 Speaker 4: So when I see someone speaking on a speaker phone, 43 00:02:17,000 --> 00:02:20,200 Speaker 4: I actually think they probably just can't hear. Because I 44 00:02:20,200 --> 00:02:23,880 Speaker 4: don't know about you. But when I actually hold the 45 00:02:23,919 --> 00:02:27,000 Speaker 4: phone up to my ear, like it's hard to the 46 00:02:27,040 --> 00:02:29,880 Speaker 4: phone is I don't know where having a phone conversation 47 00:02:30,080 --> 00:02:32,640 Speaker 4: ranks on what a phone does. Now, it's like eighth 48 00:02:32,720 --> 00:02:34,799 Speaker 4: or ninth for what a lot of what people do. 49 00:02:35,280 --> 00:02:38,840 Speaker 4: So I presume that the speaker phone is just so 50 00:02:38,880 --> 00:02:39,880 Speaker 4: they can actually hear. 51 00:02:40,320 --> 00:02:41,959 Speaker 2: Well, I can help you with this because there's something 52 00:02:41,960 --> 00:02:46,200 Speaker 2: called headphones. I eve don't know the headphones. Yes, yeah, yeah, yeah, 53 00:02:46,320 --> 00:02:48,040 Speaker 2: I'm just saying that's what people should do. 54 00:02:48,120 --> 00:02:48,360 Speaker 3: Clay. 55 00:02:48,400 --> 00:02:50,720 Speaker 2: All right, we're asking me. Should they look at him 56 00:02:50,760 --> 00:02:52,560 Speaker 2: trying to sneak in there a little get out of 57 00:02:52,600 --> 00:02:55,720 Speaker 2: jail free card for the speakerphone conversation crew. All right, 58 00:02:56,160 --> 00:02:58,560 Speaker 2: I got eyes on you, mister Tennessee. None of this 59 00:02:58,680 --> 00:03:01,040 Speaker 2: is speaking on the speaker in public stuff. 60 00:03:01,080 --> 00:03:01,480 Speaker 3: All right. 61 00:03:01,960 --> 00:03:04,639 Speaker 2: Now, now we can get into the real meat of 62 00:03:04,680 --> 00:03:09,760 Speaker 2: the conversation though here this woman in Austin, Texas. Do 63 00:03:09,840 --> 00:03:11,480 Speaker 2: we have the We do have? I believe some of 64 00:03:11,520 --> 00:03:13,200 Speaker 2: the sound. Can we play it? Let me just set 65 00:03:13,240 --> 00:03:16,679 Speaker 2: the scene. This is an Austin, Texas. A woman is 66 00:03:17,320 --> 00:03:19,880 Speaker 2: tearing into this twenty seven year old mom who has 67 00:03:19,919 --> 00:03:21,919 Speaker 2: a baby with her in a bar, and the baby 68 00:03:22,000 --> 00:03:22,919 Speaker 2: is crying a lot. 69 00:03:23,600 --> 00:03:26,160 Speaker 3: Uh. And this is what some of the audio sounded like. 70 00:03:26,720 --> 00:03:28,480 Speaker 3: Twenty zero, get house. 71 00:03:31,200 --> 00:03:38,920 Speaker 1: Baby? Why would you do this? 72 00:03:40,120 --> 00:03:41,520 Speaker 3: Why would you do the original? 73 00:03:43,800 --> 00:03:44,560 Speaker 5: No, he's down here. 74 00:03:45,640 --> 00:03:47,600 Speaker 3: You're an idiot, You're a nado. 75 00:03:48,040 --> 00:03:48,760 Speaker 1: He's not here you. 76 00:03:55,680 --> 00:03:56,839 Speaker 3: Jamie, is there your name? 77 00:03:57,080 --> 00:03:57,280 Speaker 1: No? 78 00:04:00,600 --> 00:04:02,120 Speaker 3: You have a baby in a bar? 79 00:04:03,000 --> 00:04:07,960 Speaker 4: All right, all right, it's gone megaviral, megaviral, megaviral. A 80 00:04:07,960 --> 00:04:10,760 Speaker 4: lot of analysis on this, a lot of heated debate online. 81 00:04:10,840 --> 00:04:13,720 Speaker 4: I want to let you you you take you take. 82 00:04:13,560 --> 00:04:14,000 Speaker 3: This one up. 83 00:04:14,040 --> 00:04:16,800 Speaker 2: First, I already said, I see, I see blame on 84 00:04:16,920 --> 00:04:19,640 Speaker 2: both sides, but more blame on one side. I'll hold off 85 00:04:19,680 --> 00:04:20,960 Speaker 2: until you tell me what you see. 86 00:04:21,080 --> 00:04:24,000 Speaker 4: I think the woman calling out the mom is way 87 00:04:24,000 --> 00:04:26,560 Speaker 4: out of line. Now let me let me give you 88 00:04:26,600 --> 00:04:29,280 Speaker 4: a couple of caveats here. I don't know what the 89 00:04:29,320 --> 00:04:34,640 Speaker 4: bar is. Is this a adults only bar and this 90 00:04:34,839 --> 00:04:38,719 Speaker 4: baby was there? Or do they have a normal food 91 00:04:38,839 --> 00:04:42,000 Speaker 4: menu where people can eat as well as be at 92 00:04:42,000 --> 00:04:47,160 Speaker 4: a bar. Babies, to me, are easier to take places 93 00:04:48,120 --> 00:04:49,200 Speaker 4: than toddlers. 94 00:04:50,240 --> 00:04:52,480 Speaker 3: A toddler has to run around everywhere. 95 00:04:52,680 --> 00:04:57,279 Speaker 4: They're hard to corral, they're difficult, they're ornery a lot 96 00:04:57,279 --> 00:05:00,960 Speaker 4: of the time. Babies, especially if they're still kind of 97 00:05:01,000 --> 00:05:04,200 Speaker 4: being carried, which this baby is. You can see like 98 00:05:04,240 --> 00:05:06,640 Speaker 4: it's a I don't know, six month old, five month old, 99 00:05:06,680 --> 00:05:11,279 Speaker 4: whatever it is, probably and mom, I'm assuming it's still breastfeeding, 100 00:05:11,800 --> 00:05:16,400 Speaker 4: meaning that the mom can go and sit there and 101 00:05:16,440 --> 00:05:18,320 Speaker 4: be able to be with the baby and it's not 102 00:05:18,560 --> 00:05:22,920 Speaker 4: a monster issue. So I think the woman who confronted 103 00:05:22,960 --> 00:05:25,800 Speaker 4: her about this is way out of line. And then 104 00:05:25,839 --> 00:05:28,520 Speaker 4: to be cursing at her, get your effing baby out 105 00:05:28,520 --> 00:05:30,720 Speaker 4: of the I mean, first of all, why do you 106 00:05:30,760 --> 00:05:35,000 Speaker 4: care if your enjoyment of being able to be at 107 00:05:35,000 --> 00:05:39,200 Speaker 4: a bar is totally taken away by any one or 108 00:05:39,240 --> 00:05:40,680 Speaker 4: two people that are at that bar. 109 00:05:41,160 --> 00:05:43,800 Speaker 3: I would submit that you have an issue. 110 00:05:44,200 --> 00:05:46,960 Speaker 4: And if the baby's crying somewhat or making a little 111 00:05:47,000 --> 00:05:50,080 Speaker 4: bit of a stir, bars are lowed, you know. So, 112 00:05:50,320 --> 00:05:53,240 Speaker 4: I mean the idea that one person with a child 113 00:05:53,360 --> 00:05:57,000 Speaker 4: would be throwing the entire apparatus off. Now, if we're 114 00:05:57,040 --> 00:06:01,120 Speaker 4: talking about adults only and kids are allowed into the bar, 115 00:06:01,520 --> 00:06:04,720 Speaker 4: I think that becomes a more challenging question. But still 116 00:06:04,760 --> 00:06:07,240 Speaker 4: the woman was way out of line. I'm like ninety 117 00:06:07,279 --> 00:06:11,400 Speaker 4: percent on Mom's side, maybe giving best of advice to 118 00:06:11,440 --> 00:06:14,240 Speaker 4: the ten percent for the woman who and also by 119 00:06:14,279 --> 00:06:16,320 Speaker 4: the way she called her outer age, what are you 120 00:06:16,440 --> 00:06:19,000 Speaker 4: twenty two, and she's like, now I'm twenty seven. I mean, 121 00:06:19,640 --> 00:06:22,120 Speaker 4: I just like the other woman's way out of line. 122 00:06:22,320 --> 00:06:23,440 Speaker 2: This is one of that I think this is a 123 00:06:23,480 --> 00:06:28,039 Speaker 2: teachable moment because even if you have a legitimate, a 124 00:06:28,120 --> 00:06:31,920 Speaker 2: legitimate gripe with somebody, how you handle it matters, right 125 00:06:32,400 --> 00:06:36,440 Speaker 2: as in, you know, if somebody is kicking the back 126 00:06:36,520 --> 00:06:40,239 Speaker 2: of your seat on an airplane, that's a very legitimate. 127 00:06:40,240 --> 00:06:42,400 Speaker 3: This is another thing that drives me insane. For some reason. 128 00:06:42,440 --> 00:06:45,240 Speaker 3: I never have to like do a flying knee into 129 00:06:45,240 --> 00:06:45,760 Speaker 3: the back of. 130 00:06:45,720 --> 00:06:47,520 Speaker 2: The person in front of me into their chair on 131 00:06:47,560 --> 00:06:49,640 Speaker 2: a plane, But somehow it happens to me a lot 132 00:06:49,640 --> 00:06:52,520 Speaker 2: where someone just you know, just banging got just keep 133 00:06:52,560 --> 00:06:54,520 Speaker 2: banging the back of the chair, or they like to 134 00:06:54,600 --> 00:06:56,800 Speaker 2: use the chair as a catapult when they want to 135 00:06:56,800 --> 00:06:59,120 Speaker 2: go to the bathroom, so they pull down on your 136 00:06:59,200 --> 00:07:02,160 Speaker 2: headrest and like like catapults. 137 00:07:01,640 --> 00:07:02,360 Speaker 3: Them up in the air. 138 00:07:04,360 --> 00:07:06,200 Speaker 2: Now you can turn around and tell somebody, excuse me, 139 00:07:06,240 --> 00:07:07,880 Speaker 2: can you please not do that. If you turn around 140 00:07:07,960 --> 00:07:10,760 Speaker 2: you start shouting expletives at that person or calling them 141 00:07:10,840 --> 00:07:14,240 Speaker 2: names or whatever. Now you've you know, it's like excessive force. 142 00:07:14,280 --> 00:07:17,280 Speaker 2: You've gone too far. I think woman here. First of all, 143 00:07:17,280 --> 00:07:20,880 Speaker 2: she's clearly drunk. Okay, you can hear she's clearly very inebriated. 144 00:07:21,080 --> 00:07:23,000 Speaker 2: So that's not a good time to get into a 145 00:07:23,040 --> 00:07:25,840 Speaker 2: confrontation with anybody verbally. 146 00:07:25,440 --> 00:07:26,600 Speaker 3: Physically, period. 147 00:07:26,640 --> 00:07:29,520 Speaker 2: You know, you people, it's funny, you're more likely to 148 00:07:29,560 --> 00:07:31,280 Speaker 2: get into a confrontation for a lot of folks when 149 00:07:31,320 --> 00:07:34,040 Speaker 2: you're drunk. You're always worse at it. You're worst at 150 00:07:34,080 --> 00:07:36,840 Speaker 2: at verbally, you're worst at it physically, meaning you're not 151 00:07:36,880 --> 00:07:39,560 Speaker 2: going to handle yourself. Well, so that's part one, is 152 00:07:39,680 --> 00:07:43,640 Speaker 2: she's drunk. Part two, I agree with you bringing in personally. 153 00:07:44,520 --> 00:07:46,880 Speaker 2: The moment you start bringing in personal stuff on a 154 00:07:46,920 --> 00:07:50,480 Speaker 2: manner's related issue or a courtesy issue, now you're being 155 00:07:50,520 --> 00:07:52,880 Speaker 2: a jerk, right, it should only be about please, can you, 156 00:07:52,880 --> 00:07:55,480 Speaker 2: you know, bring the noise down on your speaker? You 157 00:07:55,480 --> 00:07:58,200 Speaker 2: know it shouldn't be hey, you know, hey, fats So 158 00:07:58,560 --> 00:08:00,400 Speaker 2: like why you know what I mean, the moment that 159 00:08:00,440 --> 00:08:02,880 Speaker 2: you make it personal, you're the bad guy. She made 160 00:08:02,920 --> 00:08:06,480 Speaker 2: it personal. And then obviously cursing. I mean, the baby 161 00:08:06,480 --> 00:08:08,560 Speaker 2: doesn't understand curse words, but you know, cursing in front 162 00:08:08,560 --> 00:08:10,559 Speaker 2: of a woman with the child, I think, so I'm 163 00:08:11,040 --> 00:08:13,040 Speaker 2: I'm actually I don't really dis I don't disagree with 164 00:08:13,080 --> 00:08:14,920 Speaker 2: your breakdown. I mean maybe I would say I'm like 165 00:08:14,960 --> 00:08:19,040 Speaker 2: eighty eighty twenty, she's in the wrong versus now that 166 00:08:19,160 --> 00:08:21,200 Speaker 2: we get to the other side of this. If this 167 00:08:21,280 --> 00:08:24,880 Speaker 2: is an adult bar where people are doing adult drinking 168 00:08:24,920 --> 00:08:28,000 Speaker 2: and having adult time some places only you know twenty 169 00:08:28,040 --> 00:08:30,600 Speaker 2: one and up, you have to be in there. You know, 170 00:08:31,000 --> 00:08:34,040 Speaker 2: a baby crying in the bar is annoying and it 171 00:08:34,160 --> 00:08:36,440 Speaker 2: shows a lack of consideration people around here. I'll give you, 172 00:08:36,520 --> 00:08:39,560 Speaker 2: I'll give you an enhanced or an additional version of this, 173 00:08:39,600 --> 00:08:43,000 Speaker 2: because I've come across as many times fine dining restaurant. 174 00:08:43,040 --> 00:08:45,480 Speaker 2: Everyone's paying one hundred and fifty bucks a person to 175 00:08:45,520 --> 00:08:48,720 Speaker 2: be in Saturday night, eight o'clock. Somebody has their baby 176 00:08:48,760 --> 00:08:51,000 Speaker 2: and a little baby thing and it's crying the whole time. 177 00:08:51,160 --> 00:08:54,600 Speaker 2: The entire the entire restaurant is sitting there thinking, why 178 00:08:54,640 --> 00:08:57,320 Speaker 2: doesn't this person care about anybody else but themselves? Why 179 00:08:57,320 --> 00:08:59,120 Speaker 2: don't they get a babysitter? That is what the whole 180 00:08:59,160 --> 00:09:02,679 Speaker 2: restaurant is thinking. But people still do this sometimes. So this, 181 00:09:02,840 --> 00:09:05,720 Speaker 2: for me, is where the twenty percent comes in. This 182 00:09:05,840 --> 00:09:07,320 Speaker 2: for me is where it starts to get a little 183 00:09:07,320 --> 00:09:08,120 Speaker 2: more complicated. 184 00:09:08,400 --> 00:09:09,880 Speaker 3: This is the dad in me. 185 00:09:10,640 --> 00:09:15,320 Speaker 4: I give mom and Dad passes on almost anything having 186 00:09:15,320 --> 00:09:18,160 Speaker 4: to do with a kid in a public place, because 187 00:09:18,200 --> 00:09:22,360 Speaker 4: your kid can be great and then they can fall apart. Now, 188 00:09:22,360 --> 00:09:24,560 Speaker 4: I think you should still get outside if they totally 189 00:09:24,600 --> 00:09:27,959 Speaker 4: lose it, get them outside, you know, at this movie theater. 190 00:09:28,520 --> 00:09:30,120 Speaker 3: I know a lot of moms. 191 00:09:31,040 --> 00:09:34,640 Speaker 4: Get bored candidly and feel like they're like, you know, 192 00:09:34,760 --> 00:09:38,080 Speaker 4: kind of unable to get out when you have a 193 00:09:38,120 --> 00:09:39,920 Speaker 4: really young baby, and so maybe you want to go 194 00:09:39,960 --> 00:09:42,240 Speaker 4: watch a movie and you just want to, you know, 195 00:09:42,360 --> 00:09:43,439 Speaker 4: kind of feel like. 196 00:09:43,400 --> 00:09:45,200 Speaker 3: An adult a little bit. 197 00:09:45,920 --> 00:09:47,560 Speaker 4: And I don't have a problem with a baby going 198 00:09:47,559 --> 00:09:49,600 Speaker 4: into a movie theater, But the minute the baby starts 199 00:09:49,600 --> 00:09:52,360 Speaker 4: to lose it in the movie theater, as babies do, 200 00:09:52,480 --> 00:09:54,079 Speaker 4: I think you have an obligation to be like, Okay, 201 00:09:54,120 --> 00:09:54,880 Speaker 4: today's not the day. 202 00:09:54,920 --> 00:09:55,840 Speaker 3: I should leave right now. 203 00:09:55,840 --> 00:09:57,800 Speaker 4: If the baby can go and sleep on your chest 204 00:09:58,200 --> 00:10:01,480 Speaker 4: or sleep in a little carrier because it's nap time 205 00:10:01,559 --> 00:10:05,200 Speaker 4: and babies at that age are really easy. I just 206 00:10:05,600 --> 00:10:09,640 Speaker 4: in general, if you have an issue, I don't think 207 00:10:09,720 --> 00:10:13,600 Speaker 4: confrontation with another person is typically a very good idea. 208 00:10:14,080 --> 00:10:15,560 Speaker 3: So if you had a true. 209 00:10:15,360 --> 00:10:17,719 Speaker 4: Issue, you thought somebody was violating what should be a 210 00:10:17,800 --> 00:10:20,480 Speaker 4: rule of the establishment. I would go to the manager, 211 00:10:20,920 --> 00:10:23,080 Speaker 4: even though can I ask to speak to the manager 212 00:10:23,120 --> 00:10:27,280 Speaker 4: as kind of a slur in it of itself, right, 213 00:10:27,320 --> 00:10:30,240 Speaker 4: this will not shock you. I am not shy about 214 00:10:30,640 --> 00:10:32,880 Speaker 4: speaking with the manager, so that does not shock me 215 00:10:32,920 --> 00:10:34,480 Speaker 4: at all. I mean, I don't know if we've told 216 00:10:34,520 --> 00:10:37,199 Speaker 4: this story, but we went to a really nice what 217 00:10:37,240 --> 00:10:38,600 Speaker 4: was the steakhouse in New York. 218 00:10:38,559 --> 00:10:39,280 Speaker 3: Oh Keenes. 219 00:10:39,320 --> 00:10:43,440 Speaker 4: That place is phenomenal, great steakhouse, old school eighteen hundred's. 220 00:10:43,480 --> 00:10:46,000 Speaker 4: It opened like Teddy Roosevelt I think used to eat 221 00:10:46,040 --> 00:10:49,480 Speaker 4: there occasionally. Like it's a fantastic place. You had a 222 00:10:49,520 --> 00:10:52,920 Speaker 4: television hit to do your wife, I think she was 223 00:10:52,920 --> 00:10:55,240 Speaker 4: your fiance at the time. Carrie, my wife Laura, the 224 00:10:55,280 --> 00:10:58,080 Speaker 4: four of us are out to dinner. We were seated 225 00:10:58,280 --> 00:11:05,000 Speaker 4: nice table, the most stereotypically Jersey group of guys that 226 00:11:05,040 --> 00:11:06,640 Speaker 4: could possibly exist, all. 227 00:11:06,640 --> 00:11:09,199 Speaker 2: Dudes, and they looked like they came off the show 228 00:11:09,320 --> 00:11:12,120 Speaker 2: The Jersey Shore, I mean, like blown out hair, the 229 00:11:12,160 --> 00:11:15,600 Speaker 2: gold chains. And it was all guys, all guys, like 230 00:11:16,040 --> 00:11:17,040 Speaker 2: eight or ten of them. 231 00:11:17,160 --> 00:11:18,960 Speaker 4: At Jersey Shore is a good exit like the and 232 00:11:19,080 --> 00:11:23,560 Speaker 4: they were the loudest table that you could possibly imagine, 233 00:11:23,559 --> 00:11:24,920 Speaker 4: and they were no more than I don't know, four 234 00:11:25,000 --> 00:11:26,600 Speaker 4: or five feet away, and it was just we're sitting 235 00:11:26,600 --> 00:11:29,120 Speaker 4: at them. They came in while you were gone doing 236 00:11:29,160 --> 00:11:30,920 Speaker 4: I think a Fox News hit at one of their 237 00:11:31,120 --> 00:11:35,920 Speaker 4: mobile vans, and Carrie said, Buckets, Buck's gonna lose it. 238 00:11:36,440 --> 00:11:38,360 Speaker 4: Like we were sitting there. She was like, Buck is 239 00:11:38,360 --> 00:11:40,440 Speaker 4: gonna come back in and he is gonna lose it 240 00:11:40,480 --> 00:11:43,400 Speaker 4: over this. So you came back in. You were there 241 00:11:43,600 --> 00:11:45,959 Speaker 4: maybe forty five seconds, and you were like, yeah, I 242 00:11:46,000 --> 00:11:48,880 Speaker 4: can't deal with this, and you just and you just 243 00:11:48,920 --> 00:11:52,199 Speaker 4: stood up and immediately went to go see whoever the 244 00:11:52,400 --> 00:11:54,760 Speaker 4: manager was, and you're like, we need a new table. Yep, 245 00:11:54,800 --> 00:11:56,880 Speaker 4: these guys are too loud. We cannot sit here. And 246 00:11:56,920 --> 00:11:58,400 Speaker 4: they took a new new table and then when they 247 00:11:58,400 --> 00:12:00,640 Speaker 4: took care of us, Yeah, see that's what But see, 248 00:12:00,640 --> 00:12:02,400 Speaker 4: that's that's the way to hand. You to go to 249 00:12:02,440 --> 00:12:05,360 Speaker 4: the table and say you guys are way too loud, 250 00:12:05,720 --> 00:12:10,200 Speaker 4: like and create a huge consumer to consumer battle like 251 00:12:10,240 --> 00:12:11,040 Speaker 4: that woman did. 252 00:12:11,160 --> 00:12:13,560 Speaker 3: I didn't want an issue that you asked to be moved. 253 00:12:13,800 --> 00:12:15,839 Speaker 2: I didn't want the cast of the Sopranos to lay 254 00:12:15,880 --> 00:12:18,000 Speaker 2: a beat down on me right now, Well that yeah, 255 00:12:18,040 --> 00:12:19,560 Speaker 2: that wasn't gonna be a good idea, but no, but 256 00:12:19,559 --> 00:12:23,200 Speaker 2: that's exactly you got to make these kind of on 257 00:12:23,400 --> 00:12:25,920 Speaker 2: the spot judgments about the best way to handle the 258 00:12:25,960 --> 00:12:29,160 Speaker 2: situation and not to escalate conflict because remember, it's not 259 00:12:29,160 --> 00:12:31,960 Speaker 2: even just you and that person, it's also you know, 260 00:12:31,960 --> 00:12:33,720 Speaker 2: everyone else is there to have a good time too. 261 00:12:34,480 --> 00:12:37,240 Speaker 2: I think being considered extends to the you know, the 262 00:12:37,480 --> 00:12:39,720 Speaker 2: the establishment and the people working there. And so in 263 00:12:39,720 --> 00:12:42,400 Speaker 2: that case, by the way, they were obscenely loud. I 264 00:12:42,400 --> 00:12:44,400 Speaker 2: could even hear them even after we move tables, but 265 00:12:44,440 --> 00:12:47,200 Speaker 2: it didn't bother me because we were far away from them. 266 00:12:47,240 --> 00:12:49,320 Speaker 2: But no harm, no foul there in the sense that 267 00:12:49,360 --> 00:12:51,400 Speaker 2: we got a new table. We're good, no problems, no 268 00:12:51,440 --> 00:12:54,480 Speaker 2: one embarrassed, no issues, right, That is the way you 269 00:12:54,559 --> 00:12:56,320 Speaker 2: want to handle these things. So it was kind of 270 00:12:56,360 --> 00:12:58,600 Speaker 2: like a clinic from the bucksure over here. 271 00:12:58,679 --> 00:13:01,520 Speaker 4: I will say this too, I am very in I 272 00:13:01,520 --> 00:13:04,960 Speaker 4: don't know the amount of restaurants that I go into 273 00:13:05,000 --> 00:13:09,319 Speaker 4: now where the tables are so close that I can 274 00:13:09,320 --> 00:13:11,920 Speaker 4: almost touch knees with the person that I'm not in 275 00:13:12,000 --> 00:13:14,040 Speaker 4: a group with. It's never if you're with the person. 276 00:13:14,200 --> 00:13:15,720 Speaker 4: But you know what I'm talking about. This is this 277 00:13:15,800 --> 00:13:19,160 Speaker 4: is I think they're squeezing more tables into restaurants than 278 00:13:19,200 --> 00:13:21,720 Speaker 4: ever before. Like efficiency experts have gone into all these 279 00:13:21,760 --> 00:13:23,439 Speaker 4: places and been like, people don't need to be able 280 00:13:23,440 --> 00:13:24,520 Speaker 4: to breathe or move their elbows. 281 00:13:24,600 --> 00:13:25,120 Speaker 3: Yeah. 282 00:13:25,200 --> 00:13:27,840 Speaker 4: I walk into restaurants sometimes now and I'm like, I 283 00:13:27,920 --> 00:13:29,959 Speaker 4: just want to turn around and walk back out because 284 00:13:30,040 --> 00:13:33,680 Speaker 4: I don't want to sit where somebody can hear every 285 00:13:33,800 --> 00:13:37,199 Speaker 4: single thing that I say for an entire meal with 286 00:13:37,240 --> 00:13:39,920 Speaker 4: my wife or with a buddy, or with anybody else. 287 00:13:40,440 --> 00:13:44,000 Speaker 4: And I can't imagine that anybody enjoys that, And yet 288 00:13:44,040 --> 00:13:45,600 Speaker 4: everybody's packed in like sardines. 289 00:13:45,640 --> 00:13:45,840 Speaker 3: Now. 290 00:13:45,920 --> 00:13:50,880 Speaker 2: I've had I've had strangers start very uncomfortable exchanges with 291 00:13:50,960 --> 00:13:53,439 Speaker 2: me based on eavesdropping on my conversations. 292 00:13:53,480 --> 00:13:54,960 Speaker 3: Because this will surprise no one. 293 00:13:55,400 --> 00:13:57,880 Speaker 2: I am right wing all the time, including when I'm 294 00:13:57,920 --> 00:13:58,960 Speaker 2: having dinner with friends. 295 00:13:59,040 --> 00:14:01,280 Speaker 4: So yeah, yeah, but I mean, do you I don't 296 00:14:01,280 --> 00:14:03,360 Speaker 4: want to go anywhere where somebody can overhear all my 297 00:14:03,440 --> 00:14:05,320 Speaker 4: conversation whatever I'm listening about. 298 00:14:06,400 --> 00:14:07,520 Speaker 3: Yeah, no, look it's a. 299 00:14:09,440 --> 00:14:09,679 Speaker 6: You know. 300 00:14:09,800 --> 00:14:14,560 Speaker 2: So anyway, the issue here of the baby and the woman, 301 00:14:14,600 --> 00:14:16,520 Speaker 2: I think I think there's pretty broad agreement that the 302 00:14:16,559 --> 00:14:19,280 Speaker 2: woman didn't handle it well. But I also do think 303 00:14:19,320 --> 00:14:21,320 Speaker 2: there's a takeaway here that, you know, just be respectful 304 00:14:21,360 --> 00:14:22,840 Speaker 2: to people around you if you've got a baby. I 305 00:14:22,880 --> 00:14:25,240 Speaker 2: was at a restaurant play right in my neighborhood here 306 00:14:25,240 --> 00:14:29,080 Speaker 2: in Miami, where someone had a dog, and I love dogs, 307 00:14:29,120 --> 00:14:30,800 Speaker 2: and I showed ginger on the camera and I want 308 00:14:30,840 --> 00:14:32,520 Speaker 2: to get another dog. I'd have five dogs if we 309 00:14:32,560 --> 00:14:35,360 Speaker 2: could handle it. Here, the dog was barking during the dinner. 310 00:14:35,400 --> 00:14:37,680 Speaker 2: I'm not like once or twice, like every minute or 311 00:14:37,680 --> 00:14:41,640 Speaker 2: two the dog would start barking in a restaurant. Yeah, 312 00:14:41,680 --> 00:14:43,960 Speaker 2: And I remember I asked you, and I did my 313 00:14:44,040 --> 00:14:45,720 Speaker 2: usual buck thing. I'm like, hey, I'm just wondering. They're 314 00:14:45,760 --> 00:14:46,480 Speaker 2: just like, yeah, like. 315 00:14:46,520 --> 00:14:48,280 Speaker 3: What can you do? And I'm like, well, he could leave. 316 00:14:48,520 --> 00:14:50,560 Speaker 3: It's actually actually what he could do. He could not 317 00:14:50,560 --> 00:14:52,360 Speaker 3: bring his dog to a restaurant full of what can 318 00:14:52,400 --> 00:14:52,600 Speaker 3: you do? 319 00:14:52,720 --> 00:14:54,640 Speaker 4: Is a really great And that's the problem too, because 320 00:14:54,640 --> 00:14:56,600 Speaker 4: I think a lot of people who run these establishments 321 00:14:56,680 --> 00:14:58,560 Speaker 4: don't want to find themselves in the middle of it either, 322 00:14:58,600 --> 00:15:00,720 Speaker 4: And I think that's where probably maybe this woman did 323 00:15:00,720 --> 00:15:01,680 Speaker 4: go to the establishment. 324 00:15:01,880 --> 00:15:02,440 Speaker 3: They didn't do. 325 00:15:02,400 --> 00:15:04,200 Speaker 4: Anything, and then she took it into her own hands. 326 00:15:04,440 --> 00:15:06,520 Speaker 4: The other thing is it's probably gonna get videoed. 327 00:15:07,040 --> 00:15:09,040 Speaker 3: And I don't like this world. We played the AOC 328 00:15:09,160 --> 00:15:09,960 Speaker 3: clip earlier. 329 00:15:10,240 --> 00:15:12,160 Speaker 4: I don't like this world where everybody pulls out their 330 00:15:12,200 --> 00:15:15,120 Speaker 4: phone and immediately starts to record everything that happens in 331 00:15:15,160 --> 00:15:16,800 Speaker 4: their day to day existence and then puts it up 332 00:15:16,840 --> 00:15:19,000 Speaker 4: online so everybody can react to it. But I presume 333 00:15:19,520 --> 00:15:21,640 Speaker 4: everything gets recorded now, I mean, it's crazy. 334 00:15:21,840 --> 00:15:22,520 Speaker 3: It's true. 335 00:15:22,960 --> 00:15:24,680 Speaker 2: You know, if you have guns and valuables, you need 336 00:15:24,680 --> 00:15:27,000 Speaker 2: a safe in your home, and more than two million 337 00:15:27,000 --> 00:15:30,720 Speaker 2: Americans have chosen Liberty Safe. 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Go 353 00:16:18,560 --> 00:16:22,080 Speaker 2: to Libertysafe dot com slash radio for complete sweepstakes rules. 354 00:16:22,240 --> 00:16:24,800 Speaker 2: Don't forget to use the coupon Code Radio for a 355 00:16:24,920 --> 00:16:26,080 Speaker 2: ten percent discount. 356 00:16:26,960 --> 00:16:31,360 Speaker 3: Truth after Truth, you can handle the truth. Clay Travis 357 00:16:31,480 --> 00:16:32,840 Speaker 3: and Buck Sexton. 358 00:16:32,520 --> 00:16:34,960 Speaker 4: Welcome back in Clay Travis Buck Sexton Show. I Want 359 00:16:34,960 --> 00:16:38,320 Speaker 4: to Hit You Buck. Ryan Gurdusky last hour mentioned this 360 00:16:38,560 --> 00:16:42,960 Speaker 4: Iowa pole at the Des Moines Register. The woman who 361 00:16:42,960 --> 00:16:45,400 Speaker 4: does that poll, he says, is one of the most 362 00:16:45,440 --> 00:16:46,480 Speaker 4: accomplished pollsters. 363 00:16:46,520 --> 00:16:48,680 Speaker 3: She nails it every single time. 364 00:16:49,680 --> 00:16:53,640 Speaker 4: And he mentioned Trump won Iowa by seven in twenty 365 00:16:53,680 --> 00:16:57,760 Speaker 4: sixteen and again by roughly seven in twenty twenty. In 366 00:16:57,840 --> 00:17:01,560 Speaker 4: twenty twenty, won the state two times. Remember Barack Obama 367 00:17:01,640 --> 00:17:05,680 Speaker 4: won Iowa in eight and twelve, and then Trump wins 368 00:17:05,720 --> 00:17:08,320 Speaker 4: it in sixteen and twenty. These numbers for Biden in 369 00:17:08,440 --> 00:17:13,200 Speaker 4: Iowa aren't just bad, they're catastrophic. Trump's up fifteen, Joe 370 00:17:13,240 --> 00:17:18,400 Speaker 4: Biden's approval rating twenty nine percent in Iowa, sixty nine 371 00:17:18,480 --> 00:17:23,360 Speaker 4: percent disapproval favorability Trump forty nine, forty eight. 372 00:17:23,359 --> 00:17:25,320 Speaker 3: He's plus one, Joe. 373 00:17:25,040 --> 00:17:32,119 Speaker 4: Biden minus thirty seven, his favorability minus thirty seven. This 374 00:17:32,240 --> 00:17:35,320 Speaker 4: is why Buck, I'm saying, the story is not really Trump, 375 00:17:35,800 --> 00:17:37,240 Speaker 4: it's Biden tanking. 376 00:17:37,800 --> 00:17:40,560 Speaker 3: Trump's numbers are really kind of where they've always been. 377 00:17:41,160 --> 00:17:46,400 Speaker 4: Biden is taking Democrats on a path that is unprecedented 378 00:17:46,680 --> 00:17:51,240 Speaker 4: in its awfulness right now. And those Iowa numbers I 379 00:17:51,240 --> 00:17:53,080 Speaker 4: think are hard to look away from. I think you 380 00:17:53,160 --> 00:17:55,760 Speaker 4: have to pay attention to them to even see exactly 381 00:17:55,840 --> 00:17:58,600 Speaker 4: what's going on. And you can check that out for 382 00:17:58,640 --> 00:18:01,400 Speaker 4: yourself up on the polls there. I want to tell 383 00:18:01,400 --> 00:18:04,159 Speaker 4: you all about our friends at my pillow. They'll get 384 00:18:04,200 --> 00:18:06,200 Speaker 4: you hooked up. They've got some great offers right now. 385 00:18:06,720 --> 00:18:09,280 Speaker 4: I mentioned the Giza dream sheets. I've got Giza dream 386 00:18:09,320 --> 00:18:12,680 Speaker 4: sheets on all three boys beds, on Laura and Mine's bed, 387 00:18:12,840 --> 00:18:15,880 Speaker 4: and just had the end Laws in Giza dream sheets 388 00:18:15,880 --> 00:18:19,000 Speaker 4: on the guest bed too. They are fantastic. 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I want to talk 403 00:18:58,800 --> 00:19:00,800 Speaker 4: a little bit about immigration here here for a second. 404 00:19:01,640 --> 00:19:06,760 Speaker 2: This up on Daily Mail, Elon Musk bashed President Biden's 405 00:19:06,760 --> 00:19:10,520 Speaker 2: administration after they admitted to flying three hundred and twenty 406 00:19:10,680 --> 00:19:15,480 Speaker 2: thousand unvetted migrants in the US, as Musk said, it 407 00:19:15,520 --> 00:19:18,720 Speaker 2: could mean something far worse than nine to eleven That 408 00:19:18,840 --> 00:19:22,600 Speaker 2: was on x. Musk took to his platform on Tuesday, 409 00:19:23,520 --> 00:19:27,000 Speaker 2: said the president's administration is importing voters and creating a 410 00:19:27,119 --> 00:19:33,600 Speaker 2: national security threat. Elon also tweeted out clay America will 411 00:19:33,680 --> 00:19:37,639 Speaker 2: fail if it tries to absorb the world. That is 412 00:19:37,680 --> 00:19:40,520 Speaker 2: why I am banging the drums so much about this issue. 413 00:19:40,880 --> 00:19:42,639 Speaker 2: I think it is the most important issue in the 414 00:19:42,640 --> 00:19:46,000 Speaker 2: country faces right now. Donald Trump out there, this is 415 00:19:46,040 --> 00:19:49,600 Speaker 2: cut eighteen. He's out there telling everybody that there are 416 00:19:49,720 --> 00:19:52,640 Speaker 2: going to be and as we all, I think now 417 00:19:52,720 --> 00:19:56,040 Speaker 2: the left, the Democrats are realizing this is something they 418 00:19:56,080 --> 00:19:58,959 Speaker 2: better take seriously because Trump is way ahead. There are 419 00:19:59,000 --> 00:20:04,040 Speaker 2: going to be mass deportations of illegal aliens in this country. 420 00:20:04,080 --> 00:20:04,600 Speaker 3: Play eighteen. 421 00:20:04,760 --> 00:20:08,360 Speaker 6: Will you order mass deportations if you win the White House? 422 00:20:08,440 --> 00:20:08,600 Speaker 1: Oh? 423 00:20:08,720 --> 00:20:11,480 Speaker 6: Jay one, we have no choice. And we'll start with 424 00:20:11,560 --> 00:20:13,800 Speaker 6: the bad ones. And you know who knows who they are? 425 00:20:13,960 --> 00:20:17,200 Speaker 6: Local police. Local police have to be given back their authority, 426 00:20:17,359 --> 00:20:20,040 Speaker 6: and they have to be given back their respect and immunity. 427 00:20:20,040 --> 00:20:22,280 Speaker 6: We're going to give them immunity. And they know them 428 00:20:22,280 --> 00:20:24,840 Speaker 6: by the first name, the middle name in the last name, 429 00:20:24,960 --> 00:20:27,040 Speaker 6: and they will take them out, and they will we 430 00:20:27,119 --> 00:20:30,000 Speaker 6: will get them out. Look, this is not sustainable by 431 00:20:30,080 --> 00:20:33,400 Speaker 6: any country, even if they weren't as bad as they are. 432 00:20:33,560 --> 00:20:36,360 Speaker 6: This is not sustainable. By any country. 433 00:20:37,760 --> 00:20:38,399 Speaker 3: That's true. 434 00:20:38,440 --> 00:20:40,439 Speaker 2: I think that's an important point as well, with all 435 00:20:40,480 --> 00:20:42,920 Speaker 2: this clay, no other country would do this, No other 436 00:20:42,960 --> 00:20:45,199 Speaker 2: country on the planet would allow what is happening to 437 00:20:45,320 --> 00:20:46,280 Speaker 2: us to happen to them. 438 00:20:46,640 --> 00:20:49,520 Speaker 4: And remember, many of these people are gonna have kids, 439 00:20:49,640 --> 00:20:52,680 Speaker 4: and those kids are going to become citizens. And that's 440 00:20:52,720 --> 00:20:55,479 Speaker 4: why I say there are two primary incentive structors. This 441 00:20:55,520 --> 00:21:00,320 Speaker 4: is where the conversation needs to go. Everything occurs in life, 442 00:21:00,520 --> 00:21:03,960 Speaker 4: to a large extent, based on the incentives that you create. 443 00:21:04,760 --> 00:21:10,280 Speaker 4: People respond to incentives. One is, thankfully, we are a 444 00:21:10,400 --> 00:21:16,760 Speaker 4: capitalist society and our economy produces a massive amount of jobs. 445 00:21:17,280 --> 00:21:19,520 Speaker 3: And the reason why a lot of people are. 446 00:21:19,359 --> 00:21:21,680 Speaker 4: Coming to the United States is because those jobs pay 447 00:21:21,760 --> 00:21:24,640 Speaker 4: far more than the jobs if they exist in their 448 00:21:24,680 --> 00:21:30,000 Speaker 4: home countries. So the economic incentive is almost impossible to erase. Now, 449 00:21:30,160 --> 00:21:33,359 Speaker 4: you could say, well, we need to start finding companies 450 00:21:33,400 --> 00:21:36,879 Speaker 4: that hire illegals, and there need to be substantial consequences 451 00:21:36,920 --> 00:21:39,240 Speaker 4: for that. All of those things can be true, but 452 00:21:39,320 --> 00:21:42,040 Speaker 4: the incentive structure of jobs is a major driver. 453 00:21:42,440 --> 00:21:46,040 Speaker 3: The other one is we've got to end birthright citizenship 454 00:21:46,160 --> 00:21:46,880 Speaker 3: once and for all. 455 00:21:47,520 --> 00:21:50,520 Speaker 4: So building a wall to help to keep people from 456 00:21:50,560 --> 00:21:54,080 Speaker 4: being able to get in having effective border security. 457 00:21:53,560 --> 00:21:54,200 Speaker 3: That matters. 458 00:21:54,720 --> 00:21:57,280 Speaker 4: But also we have to do away with birthright citizenship 459 00:21:57,520 --> 00:22:00,200 Speaker 4: because I think a lot fewer people would come here 460 00:22:00,359 --> 00:22:02,880 Speaker 4: if they weren't thinking, oh, I'm going to go there 461 00:22:03,359 --> 00:22:05,480 Speaker 4: and I'm going to have a kid, And once you 462 00:22:05,560 --> 00:22:08,679 Speaker 4: have a kid that's an American citizen, your chances of 463 00:22:08,720 --> 00:22:14,080 Speaker 4: ever getting deported out of America collapse. So the two 464 00:22:14,080 --> 00:22:17,359 Speaker 4: incentive structures, you have to address them if we want 465 00:22:17,400 --> 00:22:19,919 Speaker 4: to truly address this issue. And this is why I 466 00:22:19,920 --> 00:22:22,920 Speaker 4: get disappointed sometimes in the way that these conversations occur. 467 00:22:23,040 --> 00:22:25,760 Speaker 4: For instance, if you believe is I think you and 468 00:22:25,800 --> 00:22:28,440 Speaker 4: I both do, and everybody out there, no matter where 469 00:22:28,480 --> 00:22:30,040 Speaker 4: you are in the country, that we have too much 470 00:22:30,119 --> 00:22:32,919 Speaker 4: violent crime in America, then you have to have a 471 00:22:32,920 --> 00:22:36,440 Speaker 4: real conversation about who commits violent crime. And the reality 472 00:22:36,560 --> 00:22:40,359 Speaker 4: is over half of all murders are committed by young 473 00:22:40,440 --> 00:22:43,639 Speaker 4: black men. They represent about three or four percent of 474 00:22:43,680 --> 00:22:46,640 Speaker 4: the population. They commit over half of all murders. If 475 00:22:46,680 --> 00:22:48,720 Speaker 4: you are going to stop and by the way, most 476 00:22:48,720 --> 00:22:51,440 Speaker 4: of their victims are young black men as well, if 477 00:22:51,480 --> 00:22:54,040 Speaker 4: you are going to stop violent crime in America, you 478 00:22:54,080 --> 00:22:57,880 Speaker 4: would have to police more aggressively young black men. 479 00:22:58,600 --> 00:22:59,800 Speaker 3: That's the only way to stop it. 480 00:23:00,160 --> 00:23:02,280 Speaker 4: So when you have all these people out there saying, oh, 481 00:23:02,320 --> 00:23:05,520 Speaker 4: the criminal justice system is racist, look at well we 482 00:23:05,640 --> 00:23:08,000 Speaker 4: arrest people who commit violent crime and tend to put 483 00:23:08,040 --> 00:23:10,240 Speaker 4: people in prison who commit violent crime. And even the 484 00:23:10,320 --> 00:23:12,920 Speaker 4: argument of well, look at all the non violent offenders. 485 00:23:12,960 --> 00:23:14,360 Speaker 3: I think this is really important too. 486 00:23:14,920 --> 00:23:17,679 Speaker 4: They're non violent offenders because they pled guilty to a 487 00:23:17,720 --> 00:23:21,200 Speaker 4: nonviolent crime to avoid getting on trial for a violent crime. 488 00:23:21,280 --> 00:23:23,960 Speaker 4: Nobody has the If we really want to solve things, 489 00:23:24,200 --> 00:23:25,960 Speaker 4: you have to look at the facts and the data, 490 00:23:26,000 --> 00:23:27,320 Speaker 4: and you have to analyze them. You have to have 491 00:23:27,440 --> 00:23:30,080 Speaker 4: rational adult conversations. We don't have a lot of rational 492 00:23:30,080 --> 00:23:32,919 Speaker 4: adult conversations in this country, and so that is one 493 00:23:32,960 --> 00:23:36,200 Speaker 4: of the things that super frustrates me about our discourse. 494 00:23:37,560 --> 00:23:39,919 Speaker 4: If you're going to address the border, or violent crime 495 00:23:40,119 --> 00:23:43,639 Speaker 4: or any of these issues, you have to actually analyze 496 00:23:43,640 --> 00:23:45,760 Speaker 4: them and talk about them like adults, as opposed to 497 00:23:45,960 --> 00:23:50,760 Speaker 4: artificially circumscribing what's allowed to be said. And you pointed out, 498 00:23:50,800 --> 00:23:54,960 Speaker 4: I think it's important no other country does this. There's 499 00:23:55,000 --> 00:23:58,280 Speaker 4: no other country in the world that has, in the 500 00:23:58,359 --> 00:24:01,680 Speaker 4: last three and a half years, allowed eight million I 501 00:24:01,800 --> 00:24:03,760 Speaker 4: legals to come into its country. 502 00:24:04,320 --> 00:24:06,800 Speaker 3: No one else in the world it would allow this 503 00:24:06,840 --> 00:24:07,359 Speaker 3: to happen. 504 00:24:08,119 --> 00:24:11,159 Speaker 2: Everyone knows that it's a fraud, and they're saying this 505 00:24:11,240 --> 00:24:13,320 Speaker 2: now out loud. I've been saying it's a fraud for 506 00:24:13,359 --> 00:24:16,400 Speaker 2: the whole time, but now even Democrats are admitting it. 507 00:24:17,000 --> 00:24:19,760 Speaker 2: And so instead of saying we're not going to allow 508 00:24:19,760 --> 00:24:22,159 Speaker 2: people to perpetuate the fraud, that what the Democrats are 509 00:24:22,160 --> 00:24:25,680 Speaker 2: trying to do is just move the blame around and 510 00:24:25,720 --> 00:24:30,120 Speaker 2: act like somehow this was just a bipartisan thing that happened, 511 00:24:30,560 --> 00:24:34,280 Speaker 2: and it's not necessarily the result of decisions that were 512 00:24:34,280 --> 00:24:37,920 Speaker 2: made by people like or by Joe Biden and those 513 00:24:38,000 --> 00:24:38,800 Speaker 2: around him. 514 00:24:39,200 --> 00:24:40,280 Speaker 3: Thought this was interesting too. 515 00:24:40,920 --> 00:24:46,440 Speaker 2: John Fetterman, who we have been I think rightly on 516 00:24:46,480 --> 00:24:49,840 Speaker 2: some issues praising on this show because I think he 517 00:24:50,000 --> 00:24:54,000 Speaker 2: is a sound of sound mind on the issue of 518 00:24:54,119 --> 00:25:00,640 Speaker 2: Israel and Hamas and on immigration. You know, he's Pennsylvania. 519 00:25:00,680 --> 00:25:03,480 Speaker 2: He's not up in this cycle, but he wants the 520 00:25:04,040 --> 00:25:07,520 Speaker 2: Pennsylvany and he wants the Democrat running against who's We 521 00:25:07,640 --> 00:25:12,320 Speaker 2: just had him on the Who's running for Pennsylvania Republic 522 00:25:13,080 --> 00:25:16,919 Speaker 2: Dave McCormick, Thank you. He doesn't want McCormick to win, 523 00:25:17,040 --> 00:25:20,639 Speaker 2: So they've got to seem reasonable on the issue of immigration. 524 00:25:21,080 --> 00:25:25,040 Speaker 2: And here is Fetterman saying that he's willing to do 525 00:25:25,160 --> 00:25:29,360 Speaker 2: a stronger immigration deal than what was already even talked 526 00:25:29,400 --> 00:25:31,040 Speaker 2: about in the Senate place seventeen. 527 00:25:30,800 --> 00:25:33,359 Speaker 7: At least I as a Democrat, you know, and am 528 00:25:33,520 --> 00:25:37,320 Speaker 7: willing and eager to go stronger than the border deal 529 00:25:37,800 --> 00:25:40,520 Speaker 7: that was here. It might be actually appropriate given the 530 00:25:40,880 --> 00:25:42,760 Speaker 7: circumstance here at the border. 531 00:25:43,160 --> 00:25:45,359 Speaker 2: Okay, so Fetterman keeps saying things that are sensible. I 532 00:25:45,400 --> 00:25:47,359 Speaker 2: don't know what to say other than we're just going 533 00:25:47,440 --> 00:25:49,600 Speaker 2: to keep calling it out because he's saying we need 534 00:25:49,640 --> 00:25:54,200 Speaker 2: something even stronger. Because here's what's interesting. There was this 535 00:25:54,400 --> 00:26:00,320 Speaker 2: crossover between Donald Trump and Bernie Sanders supporters. Yeah, remembers 536 00:26:00,320 --> 00:26:03,280 Speaker 2: this for a little while on the issue of immigration 537 00:26:03,840 --> 00:26:07,240 Speaker 2: and workers, because you even had Bernie Sanders going out 538 00:26:07,240 --> 00:26:09,879 Speaker 2: and saying, sometimes, forget about all the other commedy stuff. 539 00:26:09,880 --> 00:26:13,680 Speaker 2: He says on this one issue, he understands. He recognizes 540 00:26:14,119 --> 00:26:17,560 Speaker 2: that if you have open borders, you are going to 541 00:26:17,760 --> 00:26:23,280 Speaker 2: hurt working class people or low income hourly wage workers 542 00:26:23,320 --> 00:26:27,040 Speaker 2: are going to bear the economic consequences of this. Far 543 00:26:27,119 --> 00:26:30,080 Speaker 2: more than anybody else. Trump was saying it, and he 544 00:26:30,160 --> 00:26:32,000 Speaker 2: was also speaking about it more in terms of just 545 00:26:32,400 --> 00:26:35,280 Speaker 2: national sovereignty and rule of law, but Bernie Sanders was 546 00:26:35,280 --> 00:26:37,560 Speaker 2: saying it as it pertains to workers. I think someone 547 00:26:37,600 --> 00:26:40,880 Speaker 2: like John Fetterman, who's really a you know, Bernie Sanders, 548 00:26:41,000 --> 00:26:44,560 Speaker 2: comes out of the Bernie Sanders mold, recognizes you're dumping 549 00:26:44,600 --> 00:26:47,440 Speaker 2: eight million people on the country who have low skills, 550 00:26:47,480 --> 00:26:51,200 Speaker 2: almost no ability to speak English, almost no educational background. 551 00:26:51,720 --> 00:26:54,679 Speaker 2: I mean, you know, by the numbers, based on what 552 00:26:54,680 --> 00:26:58,439 Speaker 2: we can see, guess what that's going to mean. People 553 00:26:58,480 --> 00:27:03,120 Speaker 2: who rely on the state services and people who are 554 00:27:03,320 --> 00:27:06,040 Speaker 2: trying to climb the economic ladder are going to be 555 00:27:06,119 --> 00:27:06,680 Speaker 2: pulled down. 556 00:27:06,960 --> 00:27:10,359 Speaker 3: This is what happens. It's blind demand, no doubt. 557 00:27:10,440 --> 00:27:12,320 Speaker 4: And I'm glad you brought that up because there was 558 00:27:12,600 --> 00:27:15,560 Speaker 4: a lot of people in New Hampshire and in Iowa 559 00:27:15,720 --> 00:27:19,560 Speaker 4: people forget now in twenty sixteen, that were deciding, hey, 560 00:27:19,560 --> 00:27:22,040 Speaker 4: should I vote for Bernie Sanders or Donald Trump in 561 00:27:22,080 --> 00:27:25,840 Speaker 4: the primary because there was a massive desire for a disruptor, 562 00:27:26,320 --> 00:27:29,440 Speaker 4: and you know, before they rigged the DNC, which I'm 563 00:27:29,480 --> 00:27:33,280 Speaker 4: glad we finally got those emails. But the DNC rigged 564 00:27:33,440 --> 00:27:36,640 Speaker 4: the election in twenty sixteen for Hillary Clinton. They did 565 00:27:36,680 --> 00:27:40,000 Speaker 4: everything they could to ensure that she was the nominee. 566 00:27:40,240 --> 00:27:41,840 Speaker 3: But yes, I met. There's a lot of people listening 567 00:27:41,920 --> 00:27:42,520 Speaker 3: to us right. 568 00:27:42,480 --> 00:27:46,920 Speaker 4: Now in Iowa and New Hampshire, maybe even in other states. 569 00:27:46,560 --> 00:27:48,960 Speaker 3: Too, who weren't full on the Trump. 570 00:27:48,680 --> 00:27:52,240 Speaker 4: Train yet in twenty sixteen and may have been uncertain 571 00:27:52,280 --> 00:27:54,119 Speaker 4: about even what primary they were going to vote in. 572 00:27:55,160 --> 00:27:58,480 Speaker 4: And this, to me is another part of Biden's collapse. 573 00:27:58,680 --> 00:28:02,480 Speaker 4: I hit you with those Iowa numbers, Buck, but ten 574 00:28:02,560 --> 00:28:05,639 Speaker 4: percent of Joe Biden voters now are saying they're going 575 00:28:05,720 --> 00:28:08,400 Speaker 4: to flip to Trump. I never thought that that high 576 00:28:08,400 --> 00:28:10,199 Speaker 4: of a percentage would flip. That's according to The New 577 00:28:10,280 --> 00:28:12,880 Speaker 4: York Times of cenopol that they just came out with 578 00:28:13,480 --> 00:28:16,560 Speaker 4: a lot of people bought the Grandpa Joe argument, and 579 00:28:16,600 --> 00:28:18,480 Speaker 4: now they found out, you know what, I was sold 580 00:28:18,480 --> 00:28:21,520 Speaker 4: to bill of goods. And it's not just that Biden 581 00:28:21,640 --> 00:28:24,320 Speaker 4: has collapsed. It's that some people, maybe a lot of 582 00:28:24,320 --> 00:28:27,359 Speaker 4: you listening to us right now even were willing to 583 00:28:27,359 --> 00:28:30,159 Speaker 4: buy into Biden in twenty twenty and have seen the 584 00:28:30,200 --> 00:28:33,040 Speaker 4: clarity and the wrongness of their ways. And in twenty 585 00:28:33,080 --> 00:28:34,480 Speaker 4: twenty four are going to go back to Trump. 586 00:28:34,600 --> 00:28:36,040 Speaker 3: I think that's a big part of this story. 587 00:28:36,320 --> 00:28:42,280 Speaker 4: Biden's collapse isn't just hurting him with you know, the turnout, 588 00:28:42,760 --> 00:28:44,720 Speaker 4: there's actually a lot of people flipping. Remember it would 589 00:28:44,760 --> 00:28:47,600 Speaker 4: have only taken twenty thousand people to flip in twenty 590 00:28:47,640 --> 00:28:51,880 Speaker 4: twenty in Georgia, Arizona and Wisconsin, and Trump would have 591 00:28:51,920 --> 00:28:54,680 Speaker 4: been elected even with all the shenanigans going on. I 592 00:28:54,760 --> 00:28:56,480 Speaker 4: want to tell you right now, the worst kept secret 593 00:28:56,520 --> 00:28:59,960 Speaker 4: during IRS tax return season is the number of bogus 594 00:29:00,080 --> 00:29:02,760 Speaker 4: tax returns come in, all seeking a refund and directing 595 00:29:02,840 --> 00:29:05,640 Speaker 4: them to one cyber thief or another. When those cyber 596 00:29:05,680 --> 00:29:07,960 Speaker 4: thieves have enough of your personal info obtained in a 597 00:29:08,040 --> 00:29:10,080 Speaker 4: data breach, the rest for them is easy. If you're 598 00:29:10,080 --> 00:29:13,280 Speaker 4: a victim of this kind of identity theft crime, working 599 00:29:13,360 --> 00:29:15,520 Speaker 4: out the details with the IRS is a mess. It's 600 00:29:15,520 --> 00:29:18,360 Speaker 4: important to understand how cybercrime and identity theft are affecting 601 00:29:18,360 --> 00:29:20,760 Speaker 4: our lives, and it's important to know how to protect 602 00:29:20,880 --> 00:29:24,520 Speaker 4: your online identity. LifeLock detects and alerts you to potential 603 00:29:24,560 --> 00:29:27,600 Speaker 4: identity threats you may not spot on your own. Their 604 00:29:27,640 --> 00:29:30,600 Speaker 4: systems detect evidence of wrongdoing and LifeLock is in touch 605 00:29:30,640 --> 00:29:32,920 Speaker 4: with you quickly you confirm whether there's. 606 00:29:32,760 --> 00:29:35,600 Speaker 3: An issue or not. If you do become a victim of. 607 00:29:35,520 --> 00:29:39,120 Speaker 4: Identity THEFT, a dedicated US based or restoration specialist will 608 00:29:39,120 --> 00:29:41,760 Speaker 4: work to fix it. It's easy to help protect yourself 609 00:29:41,800 --> 00:29:44,520 Speaker 4: with LifeLock. Join now, say twenty five percent off your 610 00:29:44,560 --> 00:29:47,000 Speaker 4: first year with the promo code Clay. Call one eight 611 00:29:47,120 --> 00:29:50,200 Speaker 4: hundred LifeLock, or go online to LifeLock dot com and 612 00:29:50,440 --> 00:29:53,280 Speaker 4: use that promo code Clay for twenty five percent off. 613 00:29:54,000 --> 00:29:56,760 Speaker 3: Download and use the new Clay and fuckcast. 614 00:29:56,920 --> 00:29:59,719 Speaker 1: Listen to the program live, catch up on any part 615 00:29:59,760 --> 00:30:02,240 Speaker 1: of the Sho show you might have missed. You your 616 00:30:02,280 --> 00:30:05,560 Speaker 1: CNB twenty four to seven subscription to get access to 617 00:30:05,600 --> 00:30:08,440 Speaker 1: the guys Fine Niclay and Buck app in your app 618 00:30:08,480 --> 00:30:10,320 Speaker 1: store and make it part of your day. 619 00:30:10,560 --> 00:30:14,760 Speaker 4: Hope all of you are having fantastic Tuesdays. 620 00:30:14,840 --> 00:30:16,840 Speaker 3: Reminder to everybody get out there and vote. 621 00:30:16,920 --> 00:30:21,560 Speaker 4: Fifteen states and American Samoa going to the polls. 622 00:30:22,000 --> 00:30:23,600 Speaker 3: I'm going to go to the poll as soon as 623 00:30:24,800 --> 00:30:26,200 Speaker 3: early this afternoon. Go vote. 624 00:30:26,280 --> 00:30:27,880 Speaker 4: See what kind of crowd we've got here in my 625 00:30:27,960 --> 00:30:30,000 Speaker 4: home state of Tennessee breaking news. We want to hit 626 00:30:30,000 --> 00:30:35,120 Speaker 4: you with Kirsten Cinema, current sitting senator affiliated with neither 627 00:30:35,160 --> 00:30:38,760 Speaker 4: party right now in Arizona announces that she is not 628 00:30:38,960 --> 00:30:39,600 Speaker 4: going to run. 629 00:30:39,720 --> 00:30:42,200 Speaker 3: There had been talk that she might run as a 630 00:30:42,240 --> 00:30:44,440 Speaker 3: third party in that race. 631 00:30:44,560 --> 00:30:46,760 Speaker 4: It now looks like it's going to be Carrie Lake 632 00:30:47,200 --> 00:30:51,160 Speaker 4: against Reuben Diego. I actually think buck this could help 633 00:30:51,200 --> 00:30:53,880 Speaker 4: carry Lake because I think it crystallizes Trump's going to 634 00:30:53,920 --> 00:30:54,240 Speaker 4: do well. 635 00:30:54,280 --> 00:30:55,400 Speaker 3: I think in Arizona. 636 00:30:55,480 --> 00:30:59,200 Speaker 4: I think Arizona's going to flip back red, and I 637 00:30:59,200 --> 00:31:02,320 Speaker 4: think Carrie Lake's affiliation with Trump is going to help 638 00:31:02,520 --> 00:31:06,720 Speaker 4: her more than Ruben Diego's affiliation with Joe Biden is 639 00:31:06,760 --> 00:31:08,320 Speaker 4: going to help him. So I think this turns it 640 00:31:08,360 --> 00:31:12,560 Speaker 4: into more of a traditional matchup. Arizona's gonna be tough 641 00:31:12,720 --> 00:31:14,480 Speaker 4: to win. It's gonna be a battleground like it has 642 00:31:14,520 --> 00:31:17,080 Speaker 4: been for the last whatever it is, twenty years it 643 00:31:17,160 --> 00:31:17,640 Speaker 4: feels like. 644 00:31:18,360 --> 00:31:19,920 Speaker 3: But I think this is. 645 00:31:19,880 --> 00:31:25,160 Speaker 4: A positive for Carrie Lake because I think some disaffiliated 646 00:31:25,200 --> 00:31:28,400 Speaker 4: Republican voters would have gone to Cinema that might not 647 00:31:28,560 --> 00:31:29,960 Speaker 4: go to Ruben Diego. 648 00:31:30,120 --> 00:31:32,600 Speaker 2: So we'll see how this all shakes out. I think 649 00:31:32,600 --> 00:31:34,840 Speaker 2: if that were I think for a general for a 650 00:31:34,880 --> 00:31:38,960 Speaker 2: more standard Democrat, that would be true. I think Cinema 651 00:31:39,000 --> 00:31:43,640 Speaker 2: is a little more of a RFK Tulsi independent third 652 00:31:43,680 --> 00:31:47,240 Speaker 2: party ish Democrat. I'm not saying she's like those people, 653 00:31:47,320 --> 00:31:50,040 Speaker 2: but I just mean she's not the standard. You know, 654 00:31:50,120 --> 00:31:53,400 Speaker 2: she broke with Democrats if I remember, on the spending 655 00:31:53,840 --> 00:31:58,200 Speaker 2: on the right, taxes on taxes, So I don't know. 656 00:31:58,520 --> 00:32:02,480 Speaker 2: I think I would guess this is probably bad news 657 00:32:02,480 --> 00:32:05,360 Speaker 2: for Carrie Lake. But it's just a prediction. We'll see. 658 00:32:06,120 --> 00:32:08,120 Speaker 4: There hasn't been a lot of head to head polling 659 00:32:08,160 --> 00:32:10,479 Speaker 4: that I have seen in Arizona because people have been 660 00:32:10,480 --> 00:32:13,440 Speaker 4: anticipating that Kirston Cinema would run, and that's been kind 661 00:32:13,440 --> 00:32:17,240 Speaker 4: of a little bit of a mess. People are out voting. 662 00:32:18,000 --> 00:32:21,280 Speaker 4: This guy is going viral in North Carolina. He is 663 00:32:21,320 --> 00:32:25,720 Speaker 4: a Trump supporter, and I thought you guys might enjoy 664 00:32:26,440 --> 00:32:29,959 Speaker 4: a little bit of a laugh here. He has asked 665 00:32:30,040 --> 00:32:34,160 Speaker 4: why he is not supporting Nicki Haley. This is an 666 00:32:34,160 --> 00:32:36,520 Speaker 4: interview that I believe aired on NBC News. 667 00:32:36,560 --> 00:32:38,280 Speaker 3: Listen, what do you think of Nicki Haley? Did you 668 00:32:38,280 --> 00:32:39,040 Speaker 3: ever consider her? 669 00:32:39,120 --> 00:32:41,360 Speaker 1: You know what I got to say, you don't really 670 00:32:41,360 --> 00:32:42,880 Speaker 1: want to put it on. Let me hear it. 671 00:32:43,200 --> 00:32:45,400 Speaker 3: The woman's not gonna be a good presidency. Have no 672 00:32:45,480 --> 00:32:47,560 Speaker 3: balls to scratch, She's just gonna scratch her head. 673 00:32:47,640 --> 00:32:50,000 Speaker 1: All the women's good for, in my book, is having 674 00:32:50,120 --> 00:32:52,400 Speaker 1: babes and taking care of the house. 675 00:32:52,480 --> 00:32:55,640 Speaker 3: And that's that's the old thing, you know. But I'm 676 00:32:55,720 --> 00:32:59,360 Speaker 3: old school, so you never even considered her mainly because 677 00:32:59,360 --> 00:32:59,920 Speaker 3: she's a woman with. 678 00:33:00,440 --> 00:33:03,680 Speaker 1: Female I mean females. Don't get me wrong, females know 679 00:33:03,720 --> 00:33:05,240 Speaker 1: what they're doing, but they still got to have a 680 00:33:05,240 --> 00:33:06,160 Speaker 1: little bit of guidance. 681 00:33:06,560 --> 00:33:08,000 Speaker 3: Trump being one of the guy heard. 682 00:33:08,800 --> 00:33:11,680 Speaker 4: I don't know if this guy's married, Buck, but I 683 00:33:11,720 --> 00:33:15,560 Speaker 4: love him doing the interview when he when he's I 684 00:33:15,600 --> 00:33:17,000 Speaker 4: love that clip of you don't want to know what 685 00:33:17,080 --> 00:33:18,680 Speaker 4: I hear? Now we want to hear what you have 686 00:33:18,760 --> 00:33:23,240 Speaker 4: to say, and then boom, that guy going viral. I 687 00:33:23,280 --> 00:33:26,640 Speaker 4: don't know that saying that somebody scratching their balls makes 688 00:33:26,640 --> 00:33:29,360 Speaker 4: you more likely to vote for him, you know, but 689 00:33:29,480 --> 00:33:34,280 Speaker 4: evidently that's the guy's philosophy. So get out and vote everybody, 690 00:33:34,520 --> 00:33:36,240 Speaker 4: no matter what your motives may be. 691 00:33:37,120 --> 00:33:39,440 Speaker 2: I got another one for you, Clay. Do you know 692 00:33:39,520 --> 00:33:45,080 Speaker 2: that they are now pushing the tenth the tenth COVID shot? 693 00:33:45,400 --> 00:33:46,000 Speaker 3: Did you see this? 694 00:33:46,880 --> 00:33:49,720 Speaker 4: We are now, Yeah, I saw RFK Junior shared this 695 00:33:49,880 --> 00:33:55,480 Speaker 4: right yeah, on shot number ten for COVID. People will 696 00:33:55,560 --> 00:33:59,840 Speaker 4: have gotten ten shots for this uh and it just 697 00:34:00,280 --> 00:34:03,120 Speaker 4: to show you there, I still hear ads. I still 698 00:34:03,120 --> 00:34:07,080 Speaker 4: see ads occasionally, especially in the digital space, for the 699 00:34:07,200 --> 00:34:12,960 Speaker 4: cod COVID vaccine. And notice it is absolutely now it 700 00:34:13,000 --> 00:34:16,839 Speaker 4: is inarguable that it is any different really from the 701 00:34:16,880 --> 00:34:19,440 Speaker 4: flu shot, even so far as it's now just kind 702 00:34:19,480 --> 00:34:22,000 Speaker 4: of an annual therapeutic. 703 00:34:22,120 --> 00:34:24,080 Speaker 2: It's not a preventive. It will not stop you from 704 00:34:24,080 --> 00:34:26,880 Speaker 2: getting COVID. It'll help you maybe have a less severe version, 705 00:34:27,080 --> 00:34:30,080 Speaker 2: which is what as long as I've been an adult 706 00:34:30,120 --> 00:34:32,319 Speaker 2: who paid attention to these things. That's exactly what they 707 00:34:32,320 --> 00:34:35,120 Speaker 2: say about the flu shot. Doesn't stop you from getting 708 00:34:35,120 --> 00:34:36,719 Speaker 2: the flu. It just means you won't get a really 709 00:34:37,160 --> 00:34:40,759 Speaker 2: bad case of the flu when you get it. How 710 00:34:40,840 --> 00:34:43,840 Speaker 2: many people do you think have actually gotten every shot? 711 00:34:43,880 --> 00:34:45,200 Speaker 2: And by the way, the flu shot is actually not 712 00:34:45,280 --> 00:34:47,399 Speaker 2: very effective at all. That's a whole other conversation. They 713 00:34:47,400 --> 00:34:49,600 Speaker 2: miss it entirely some years with the strain they go for. 714 00:34:49,719 --> 00:34:51,520 Speaker 2: But anyway, I just I knew we're gonna get emails 715 00:34:51,560 --> 00:34:53,719 Speaker 2: about that. The flu shot is often a waste of time. 716 00:34:54,120 --> 00:34:56,960 Speaker 2: It's also not called the flu vaccine. It's called the 717 00:34:56,960 --> 00:34:57,520 Speaker 2: flu shot. 718 00:34:57,760 --> 00:34:59,640 Speaker 4: They try to tell us that COVID was a vaccine, 719 00:34:59,640 --> 00:35:02,040 Speaker 4: and we're saying back when we were just on shot 720 00:35:02,080 --> 00:35:04,680 Speaker 4: three or four, if you got told that you had 721 00:35:04,719 --> 00:35:07,040 Speaker 4: to be vaccinated for something and you had to get 722 00:35:07,040 --> 00:35:09,719 Speaker 4: ten shots, I don't think that would classify you as 723 00:35:09,719 --> 00:35:12,120 Speaker 4: a vaccine as we have all heard about it historically. 724 00:35:12,160 --> 00:35:14,480 Speaker 4: How many people in America do you think, though, have 725 00:35:14,680 --> 00:35:17,400 Speaker 4: actually gotten ten shots? Do you think Fauci has gotten 726 00:35:17,400 --> 00:35:17,960 Speaker 4: ten shots? 727 00:35:18,120 --> 00:35:20,520 Speaker 2: No, absolutely not. I think that the number of people 728 00:35:20,520 --> 00:35:24,040 Speaker 2: have gotten ten shots is something like one. I think 729 00:35:24,040 --> 00:35:27,400 Speaker 2: it's one percent of the country maybe, so call it 730 00:35:27,440 --> 00:35:29,680 Speaker 2: three or four million people total, and they all live 731 00:35:29,960 --> 00:35:34,040 Speaker 2: in the most left wing It's those three million, let's say, 732 00:35:34,160 --> 00:35:38,680 Speaker 2: live in New York City, San Francisco, DC, a couple 733 00:35:38,719 --> 00:35:42,200 Speaker 2: of places in LA maybe you know Chicago. That's where 734 00:35:42,239 --> 00:35:44,880 Speaker 2: the people that have gotten those shots live. Maybe some 735 00:35:45,000 --> 00:35:49,200 Speaker 2: in Boston. Yeah, it's crazy to me, and here we 736 00:35:49,239 --> 00:35:53,720 Speaker 2: are still having this stuff promoted to us by. 737 00:35:53,680 --> 00:35:56,040 Speaker 3: The so called public health experts. Class Oh. 738 00:35:56,040 --> 00:35:58,680 Speaker 4: I couldn't get away from it. During the NFL season, 739 00:35:58,920 --> 00:36:01,239 Speaker 4: every commercial break, Travis Kelsey was telling me to go 740 00:36:01,239 --> 00:36:04,440 Speaker 4: get the COVID shot. I mean the Pfizer ran. I 741 00:36:04,480 --> 00:36:07,439 Speaker 4: bet they spent one hundred million dollars on those ads. 742 00:36:07,640 --> 00:36:12,960 Speaker 4: Maybe shameful, shameful, yeah, completely utterly indefensible, but you couldn't 743 00:36:13,000 --> 00:36:15,200 Speaker 4: escape it. Every single commercial break. It felt like during 744 00:36:15,200 --> 00:36:17,640 Speaker 4: the NFL season, Travis Kelsey telling you to go get 745 00:36:17,640 --> 00:36:20,200 Speaker 4: the COVID shot. By the way, nobody did it. But 746 00:36:20,360 --> 00:36:22,600 Speaker 4: to get to ten, I mean that used to be 747 00:36:22,640 --> 00:36:24,560 Speaker 4: the joke, right, like you get the punch card, like 748 00:36:24,600 --> 00:36:26,520 Speaker 4: you get a free ice cream or you get a 749 00:36:26,520 --> 00:36:27,640 Speaker 4: free smoothie. 750 00:36:27,200 --> 00:36:29,359 Speaker 2: And you get says the tenth one is the one 751 00:36:29,360 --> 00:36:31,919 Speaker 2: that really works. You know, once you get to ten, 752 00:36:32,160 --> 00:36:33,359 Speaker 2: then you really break through. 753 00:36:34,200 --> 00:36:38,320 Speaker 4: Anyway, out, get out and vote everybody all of these states. 754 00:36:38,400 --> 00:36:42,000 Speaker 4: Thank you to everyone that is out there working volunteering 755 00:36:42,040 --> 00:36:43,760 Speaker 4: their time, including my wife Laura. 756 00:36:44,360 --> 00:36:46,920 Speaker 3: Make sure you vote, vote, vote, vote. I'm headed out now.