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 --> 00:00:08,039 Speaker 1: Sexton Show podcast. Welcome in Klay Travis buck Sexton Show. 3 00:00:08,119 --> 00:00:11,680 Speaker 1: We hope all of you are having fantastic Thursdays. We 4 00:00:11,760 --> 00:00:14,640 Speaker 1: have got a lot to discuss, as we always do 5 00:00:14,800 --> 00:00:17,919 Speaker 1: with all of you. We're going to dive into the 6 00:00:17,960 --> 00:00:22,400 Speaker 1: Trump vice presidential discussion on Laura Ingram. He named several 7 00:00:22,440 --> 00:00:26,000 Speaker 1: people that he is considering. Does it matter, what might 8 00:00:26,120 --> 00:00:29,160 Speaker 1: the impact be? As we said here two days from 9 00:00:29,640 --> 00:00:30,640 Speaker 1: South Carolina. 10 00:00:30,720 --> 00:00:33,559 Speaker 2: Will also give you some updates on what's. 11 00:00:33,360 --> 00:00:37,520 Speaker 1: Going on in the primary down in South Carolina. As 12 00:00:38,000 --> 00:00:41,120 Speaker 1: I think, frankly South Carolinians are prepared to tell Nicky 13 00:00:41,159 --> 00:00:43,960 Speaker 1: Haley this is not your time. Trump is going to 14 00:00:44,000 --> 00:00:47,000 Speaker 1: be the nominee. We'll talk some about the idea of 15 00:00:47,200 --> 00:00:51,120 Speaker 1: the seizure of Trump assets, including his buildings, which is 16 00:00:51,159 --> 00:00:56,280 Speaker 1: now being discussed by Letitia James, the age who ran 17 00:00:56,440 --> 00:00:58,400 Speaker 1: on the idea that she was going to get Trump 18 00:00:58,440 --> 00:01:00,520 Speaker 1: no matter what, and guess what found way to try 19 00:01:00,560 --> 00:01:03,720 Speaker 1: to get Trump no matter what. But Buck, I want 20 00:01:03,720 --> 00:01:06,880 Speaker 1: to start with a story that for some of you 21 00:01:07,080 --> 00:01:10,800 Speaker 1: out there may not be on the top of your radar, 22 00:01:11,360 --> 00:01:14,360 Speaker 1: and you may not be thinking about what the impact 23 00:01:14,560 --> 00:01:18,200 Speaker 1: of this may be. But as we come into twenty 24 00:01:18,280 --> 00:01:23,160 Speaker 1: twenty four, and I bet your kids and grandkids become 25 00:01:23,280 --> 00:01:26,959 Speaker 1: more and more active and experiencing it online, I want 26 00:01:27,000 --> 00:01:31,080 Speaker 1: to talk about what's going on with a AI, artificial intelligence, 27 00:01:31,640 --> 00:01:35,160 Speaker 1: the growth that we are seeing there and the degree, Buck, 28 00:01:35,240 --> 00:01:39,080 Speaker 1: to me, of what I am seeing is just a 29 00:01:41,840 --> 00:01:45,000 Speaker 1: sort of a recapitulation of all of the flaws that 30 00:01:45,120 --> 00:01:49,800 Speaker 1: existed in social media now being created and impacted in 31 00:01:49,960 --> 00:01:54,000 Speaker 1: AI in the same way that every social media site, 32 00:01:54,040 --> 00:01:57,800 Speaker 1: whether it's Facebook, Instagram, Twitter, on some way designs an 33 00:01:57,880 --> 00:02:01,800 Speaker 1: algorithm by a human that determines what you do and 34 00:02:01,880 --> 00:02:07,000 Speaker 1: do not see AI. There's a scary, ridiculous, somewhat maybe 35 00:02:07,080 --> 00:02:11,359 Speaker 1: a little bit funny, but also terrifying story of what's 36 00:02:11,440 --> 00:02:15,320 Speaker 1: going on with Google's AI service. Buck, and I know 37 00:02:15,440 --> 00:02:17,040 Speaker 1: we were talking about this off air, so I know 38 00:02:17,080 --> 00:02:21,880 Speaker 1: you've seen it too. Basically, they designed it so there's 39 00:02:21,960 --> 00:02:24,240 Speaker 1: no way that you can get an image of a 40 00:02:24,280 --> 00:02:28,200 Speaker 1: white person, no matter what your prompt of request is. 41 00:02:28,600 --> 00:02:30,480 Speaker 1: And for those of you out there who are not 42 00:02:30,639 --> 00:02:33,960 Speaker 1: familiar with AI at all, trying to explain it in 43 00:02:34,040 --> 00:02:37,600 Speaker 1: just a couple of sentences, it's a video or image 44 00:02:37,639 --> 00:02:43,720 Speaker 1: based version of search also very strong textually, but it's 45 00:02:43,840 --> 00:02:48,840 Speaker 1: moving more and more into imagery and videos, and the 46 00:02:48,919 --> 00:02:52,119 Speaker 1: idea is basically you give it a prompt. For instance, 47 00:02:52,560 --> 00:02:55,080 Speaker 1: with Google, where they were using this and being able 48 00:02:55,120 --> 00:02:58,399 Speaker 1: to expose its flaws, it was saying, hey, Google, give 49 00:02:58,440 --> 00:03:03,320 Speaker 1: me a picture of the pope, and the pope pictures 50 00:03:03,360 --> 00:03:07,960 Speaker 1: that AI were returning were all minority figures. If you 51 00:03:08,160 --> 00:03:12,600 Speaker 1: asked for a Viking, a picture of a Viking, the 52 00:03:12,639 --> 00:03:16,520 Speaker 1: people that you were getting back were black Vikings, obviously, 53 00:03:16,560 --> 00:03:20,160 Speaker 1: who did not exist. If you asked for pictures of 54 00:03:20,200 --> 00:03:24,320 Speaker 1: the Founding Fathers, they were giving you pictures back of 55 00:03:24,880 --> 00:03:28,119 Speaker 1: some black people sitting at the table with the Founding fathers. 56 00:03:28,600 --> 00:03:32,320 Speaker 1: And I would guess buck that the intent here is 57 00:03:32,400 --> 00:03:38,360 Speaker 1: to avoid being racist. And they wrote in code which 58 00:03:38,400 --> 00:03:42,240 Speaker 1: basically made it impossible for a white person to be 59 00:03:42,880 --> 00:03:46,000 Speaker 1: revealed when it was making When you were getting these 60 00:03:46,040 --> 00:03:51,040 Speaker 1: prompts to me, that's maybe somewhat a little funny, also scary, 61 00:03:51,680 --> 00:03:56,960 Speaker 1: but to a larger context when you know that kids 62 00:03:57,320 --> 00:04:00,920 Speaker 1: growing up today are going to be using this as 63 00:04:01,000 --> 00:04:04,800 Speaker 1: a default Google search instead of the way Google works 64 00:04:04,840 --> 00:04:08,800 Speaker 1: now you type in you know, hotel on South Beach 65 00:04:08,920 --> 00:04:11,120 Speaker 1: or something, and you get a bunch of different hotels 66 00:04:11,120 --> 00:04:13,640 Speaker 1: that would show up as the link, or you type 67 00:04:13,640 --> 00:04:15,920 Speaker 1: in you know who was the eighth President of the 68 00:04:16,040 --> 00:04:18,719 Speaker 1: United States, and you get a prompt that allows you 69 00:04:18,760 --> 00:04:22,400 Speaker 1: to go click on links. You're not actually going and 70 00:04:22,480 --> 00:04:25,680 Speaker 1: reading and discovering the information from your request. 71 00:04:26,080 --> 00:04:27,440 Speaker 2: It's being given to you. 72 00:04:28,000 --> 00:04:32,600 Speaker 1: Search is being created more powerfully than maybe it ever 73 00:04:32,680 --> 00:04:37,520 Speaker 1: has been before, and it's making these algorithms even more powerful, 74 00:04:37,800 --> 00:04:40,560 Speaker 1: and so as a result, they are now stopping the 75 00:04:40,800 --> 00:04:43,600 Speaker 1: Google search buck on AI. 76 00:04:44,400 --> 00:04:45,200 Speaker 2: But are you. 77 00:04:45,320 --> 00:04:47,159 Speaker 1: Troubled by this because I think it could be a 78 00:04:47,279 --> 00:04:51,680 Speaker 1: huge story for twenty twenty four and all of these 79 00:04:51,720 --> 00:04:56,760 Speaker 1: AI woke ified. I would say algorithms are going to 80 00:04:56,920 --> 00:05:01,040 Speaker 1: artificially distort the real reality in a similar way that 81 00:05:01,120 --> 00:05:05,800 Speaker 1: I think we have seen with social media, and I 82 00:05:05,839 --> 00:05:07,920 Speaker 1: think that's gonna be the challenge. 83 00:05:08,680 --> 00:05:12,120 Speaker 3: Yeah, what they're saying about this is that it's an 84 00:05:12,160 --> 00:05:16,120 Speaker 3: over correction, right. They're saying that they were trying to 85 00:05:16,120 --> 00:05:21,159 Speaker 3: make sure that racist things didn't happen, and so they 86 00:05:21,160 --> 00:05:22,880 Speaker 3: made it so that there are no you're not getting 87 00:05:22,920 --> 00:05:23,599 Speaker 3: any images of. 88 00:05:23,600 --> 00:05:24,719 Speaker 2: Anyone who is white. 89 00:05:24,839 --> 00:05:28,080 Speaker 3: But this also is occurring in a broader context. Right, 90 00:05:28,120 --> 00:05:31,200 Speaker 3: there's something else that's going on here. I mean I 91 00:05:31,240 --> 00:05:35,360 Speaker 3: think everyone has has seen now, particularly the last few years, 92 00:05:35,400 --> 00:05:38,720 Speaker 3: but it stretches back for about a decade that diversity 93 00:05:38,760 --> 00:05:42,480 Speaker 3: and inclusion is effectively a religious belief that people feel 94 00:05:42,560 --> 00:05:46,440 Speaker 3: there is a need to fill our society, our history, 95 00:05:46,560 --> 00:05:52,480 Speaker 3: everything with the tenets of diversity and inclusion, especially anything 96 00:05:52,480 --> 00:05:56,200 Speaker 3: that has to do with with pop culture. I mentioned 97 00:05:56,240 --> 00:05:59,599 Speaker 3: before on this show I watch you know, I like 98 00:05:59,640 --> 00:06:01,800 Speaker 3: anything has Vikings in it. And I should note that 99 00:06:01,800 --> 00:06:06,360 Speaker 3: there were there were some people that did a Viking search, 100 00:06:06,400 --> 00:06:10,960 Speaker 3: and sure enough the vikings were, you know, people of dark, 101 00:06:11,080 --> 00:06:15,160 Speaker 3: dark skin, and and that's a bit unusual, right, I mean, 102 00:06:15,320 --> 00:06:21,240 Speaker 3: historically that would not be accurate. And the reality here 103 00:06:21,360 --> 00:06:25,480 Speaker 3: is when they were doing the Netflix show, when they 104 00:06:25,480 --> 00:06:29,560 Speaker 3: were trying to get people interested in I guess the 105 00:06:29,600 --> 00:06:32,240 Speaker 3: beginnings of I think it's Viking, I forget what the 106 00:06:32,279 --> 00:06:35,919 Speaker 3: full title, It's Viking something or other Clay. They cast 107 00:06:36,040 --> 00:06:41,720 Speaker 3: a black woman as a tenth century Viking yaarl or 108 00:06:41,839 --> 00:06:45,159 Speaker 3: kind of like an earl or a king who really existed. 109 00:06:45,880 --> 00:06:48,920 Speaker 3: So this stuff is already happening, meaning that there's the 110 00:06:48,960 --> 00:06:53,520 Speaker 3: rewriting of history and pop culture with people who are 111 00:06:54,360 --> 00:06:59,000 Speaker 3: being depicted as non white. And it's in that context 112 00:06:59,000 --> 00:07:02,240 Speaker 3: that when you have an AI Maine that is doing this, 113 00:07:02,440 --> 00:07:05,320 Speaker 3: everyone starts to feel like, is it I mean, okay, 114 00:07:05,480 --> 00:07:07,479 Speaker 3: this went too far, but is it really a mistake? 115 00:07:07,800 --> 00:07:10,920 Speaker 3: Is diversity and meaning from their end, is diversity and 116 00:07:11,000 --> 00:07:14,320 Speaker 3: inclusion a part of the algorithm, such that they're going 117 00:07:14,360 --> 00:07:18,840 Speaker 3: to try to create more inclusiveness throughout history, and they're 118 00:07:18,840 --> 00:07:21,040 Speaker 3: going to try to elevate some things. The whole notion 119 00:07:21,160 --> 00:07:24,040 Speaker 3: of a neutral algorithm from the beginning, really the earliest 120 00:07:24,080 --> 00:07:27,160 Speaker 3: days of Google, is really a fiction, just like editorial 121 00:07:27,240 --> 00:07:30,080 Speaker 3: lines that newspapers being neutral is a fiction. And I 122 00:07:30,120 --> 00:07:32,360 Speaker 3: think this goes toward everyone understanding that better. 123 00:07:33,040 --> 00:07:35,760 Speaker 1: Yeah, And I would say this is a natural outgrowth 124 00:07:35,800 --> 00:07:39,800 Speaker 1: of Hamilton, which decided, Hey, we're going to put minority 125 00:07:39,880 --> 00:07:43,120 Speaker 1: characters into the role of historical characters, which then was 126 00:07:43,160 --> 00:07:45,760 Speaker 1: followed by what is the show Bridgerton that they make 127 00:07:45,840 --> 00:07:48,680 Speaker 1: such a big deal about, Hey, this is a story 128 00:07:48,720 --> 00:07:53,400 Speaker 1: about eighteenth century England, but the race of the characters 129 00:07:53,480 --> 00:07:57,080 Speaker 1: really doesn't matter at all, which is a form of 130 00:07:57,120 --> 00:07:59,120 Speaker 1: color blindness which you're not supposed to do, which is 131 00:07:59,160 --> 00:08:01,720 Speaker 1: its own interesting Statele we've talked about on this show 132 00:08:01,760 --> 00:08:04,880 Speaker 1: Buck Hannibal. I believe they're making a movie with Denzel 133 00:08:05,000 --> 00:08:09,400 Speaker 1: Washington playing Hannibal, which is not accurately reflected obviously of 134 00:08:09,480 --> 00:08:12,360 Speaker 1: what his skin color would have been. So Leopatra. I 135 00:08:12,400 --> 00:08:15,440 Speaker 1: think they just did recently and it did horrible. It 136 00:08:15,480 --> 00:08:17,280 Speaker 1: did horribly on Netflix. No one want to watch it. 137 00:08:17,320 --> 00:08:20,200 Speaker 3: I would just add my issue with look. You and 138 00:08:20,240 --> 00:08:23,320 Speaker 3: I both love Denzel Washington as an actor. I think 139 00:08:23,360 --> 00:08:26,760 Speaker 3: he's one of the best living actors today and with 140 00:08:26,760 --> 00:08:28,760 Speaker 3: one of the most impressive bodies of work, I think 141 00:08:28,800 --> 00:08:30,360 Speaker 3: he may be a fantastic Hannibal. 142 00:08:30,720 --> 00:08:32,240 Speaker 2: I actually don't really have an issue with it. 143 00:08:32,400 --> 00:08:36,040 Speaker 3: My issue is I want people to at least understand 144 00:08:36,440 --> 00:08:40,360 Speaker 3: or want people to be taught that Carthage those the 145 00:08:40,440 --> 00:08:43,400 Speaker 3: Carthaginians were not North Africans in the way we think 146 00:08:43,440 --> 00:08:46,520 Speaker 3: of them now, which would be predominantly Arab sort of 147 00:08:46,720 --> 00:08:49,560 Speaker 3: olive skinned Muslim, right, I mean, or you know, tan 148 00:08:50,400 --> 00:08:51,480 Speaker 3: complexion Muslims. 149 00:08:52,800 --> 00:08:54,439 Speaker 2: They were white. They were Greeks. 150 00:08:54,440 --> 00:08:57,200 Speaker 3: Effectively, they would have looked very much like the Greeks looked, 151 00:08:57,280 --> 00:08:59,720 Speaker 3: or like the Romans looked. And as long as people 152 00:08:59,760 --> 00:09:02,080 Speaker 3: under stand that history, I have less of it, but 153 00:09:02,280 --> 00:09:05,319 Speaker 3: very few people do. And so when you start introducing 154 00:09:05,320 --> 00:09:10,040 Speaker 3: these things into the popular culture, it erases the historical reality. 155 00:09:10,120 --> 00:09:12,240 Speaker 3: And I think some of that is intentional. And I 156 00:09:12,280 --> 00:09:15,079 Speaker 3: was somebody who said early on, I think Hamilton is 157 00:09:15,320 --> 00:09:18,839 Speaker 3: a very honestly kind of a strange premise in. 158 00:09:18,800 --> 00:09:19,320 Speaker 2: A lot of ways. 159 00:09:19,360 --> 00:09:21,280 Speaker 3: To keep in mind, the only white person in it 160 00:09:21,320 --> 00:09:23,240 Speaker 3: is the King of England, who's terrible, right, who's like 161 00:09:23,280 --> 00:09:25,760 Speaker 3: the bad guy, which I think if you did that 162 00:09:25,800 --> 00:09:28,600 Speaker 3: in any other context, people would recognize that's that make 163 00:09:28,640 --> 00:09:30,800 Speaker 3: them feel a little bit uncomfortable. But I also just 164 00:09:30,840 --> 00:09:33,480 Speaker 3: thought it wasn't good. And what bothered me, and I 165 00:09:33,520 --> 00:09:35,200 Speaker 3: really knew that as a piece of art, I didn't 166 00:09:35,200 --> 00:09:37,480 Speaker 3: think it was good. And what bothered me was I 167 00:09:37,480 --> 00:09:40,960 Speaker 3: actually thought it was crap, but that you were supposed 168 00:09:41,000 --> 00:09:42,600 Speaker 3: to say it was good. Like if you didn't say 169 00:09:42,640 --> 00:09:45,160 Speaker 3: it was good, there was something wrong with you. That 170 00:09:45,160 --> 00:09:47,720 Speaker 3: felt very Soviet to me, right, it felt like everyone 171 00:09:47,760 --> 00:09:50,600 Speaker 3: has to stand and clap because Stalin likes the symphony. 172 00:09:51,480 --> 00:09:54,440 Speaker 1: I also would say, I'm not aware, and I would 173 00:09:54,520 --> 00:09:57,880 Speaker 1: I would love if somebody did know this. Is there 174 00:09:57,920 --> 00:10:01,800 Speaker 1: any other country in the world that is obsessed with 175 00:10:02,200 --> 00:10:06,840 Speaker 1: making historical characters a different race than they would otherwise be. 176 00:10:07,640 --> 00:10:08,880 Speaker 2: In other words, if you're. 177 00:10:08,679 --> 00:10:11,800 Speaker 1: Making a movie in India right now and you're doing 178 00:10:11,840 --> 00:10:15,760 Speaker 1: a story about Indian history, would there be any call 179 00:10:15,960 --> 00:10:18,880 Speaker 1: in what they call Bollywood to come back in and 180 00:10:19,000 --> 00:10:22,120 Speaker 1: cast someone who is historically Indian and a different race. 181 00:10:22,360 --> 00:10:24,360 Speaker 2: Well, you also get to play. 182 00:10:24,440 --> 00:10:30,200 Speaker 3: History is often very non inclusive, right, I mean, if 183 00:10:30,200 --> 00:10:32,679 Speaker 3: you're going to go back in history and look for 184 00:10:33,360 --> 00:10:37,760 Speaker 3: great female leadership two thousand years ago, you can find 185 00:10:37,760 --> 00:10:39,560 Speaker 3: it here and there, but there's not going to be 186 00:10:39,559 --> 00:10:40,600 Speaker 3: a lot of it, right. 187 00:10:40,520 --> 00:10:43,240 Speaker 1: Joan of Arc Cleopatra. I mean there's like two or 188 00:10:43,240 --> 00:10:46,520 Speaker 1: three characters, right, I've said fifteen hundred years ago. But yeah, 189 00:10:46,600 --> 00:10:47,200 Speaker 1: I mean if. 190 00:10:47,080 --> 00:10:49,560 Speaker 3: You go back far enough, what you'll find is that 191 00:10:49,600 --> 00:10:53,200 Speaker 3: a lot of history is actually quite exclusionary. You could 192 00:10:53,200 --> 00:10:57,920 Speaker 3: even argue mankind was predatory against mankind and there was 193 00:10:57,960 --> 00:11:01,840 Speaker 3: no effort made aid to balance things out. And so 194 00:11:01,920 --> 00:11:05,760 Speaker 3: if you're looking at what actually happened, who discovered stuff, 195 00:11:05,840 --> 00:11:09,960 Speaker 3: who conquered stuff, who found stuff, it's not going to 196 00:11:10,080 --> 00:11:15,160 Speaker 3: be what the sociology department at Brown University wants it 197 00:11:15,200 --> 00:11:17,640 Speaker 3: to be. And that's a challenge that they're always going 198 00:11:17,679 --> 00:11:19,800 Speaker 3: to face, which is why I think there's such an 199 00:11:19,800 --> 00:11:24,200 Speaker 3: obsession with making, you know, a tenth century Viking. 200 00:11:23,960 --> 00:11:27,080 Speaker 1: Earl a black woman. There were no black women who 201 00:11:27,120 --> 00:11:32,439 Speaker 1: were tenth century Viking earls. Western civilization triumph. Thankfully, it's 202 00:11:32,480 --> 00:11:36,520 Speaker 1: why we all have democracy, republics, freedom, freedom of speech. 203 00:11:36,679 --> 00:11:40,640 Speaker 1: All those things are good, good cultural appropriation. Here's a 204 00:11:40,760 --> 00:11:42,480 Speaker 1: kind of summing it up. And I'm open to your 205 00:11:42,480 --> 00:11:44,319 Speaker 1: calls because some of you out there probably are far 206 00:11:44,360 --> 00:11:48,000 Speaker 1: more sophisticated in terms of your AI knowledge than either 207 00:11:48,040 --> 00:11:50,800 Speaker 1: Buck or myself would be. On a scale of one 208 00:11:50,840 --> 00:11:54,640 Speaker 1: to ten, I'm about a nine on being concerned right 209 00:11:54,640 --> 00:11:57,960 Speaker 1: now based on what I'm seeing about what the impact 210 00:11:58,000 --> 00:12:00,640 Speaker 1: of these AI algorithms are going to be, because I 211 00:12:00,640 --> 00:12:03,560 Speaker 1: think we're finally catching up Buck with Twitter, where Elon 212 00:12:03,679 --> 00:12:07,240 Speaker 1: Musk is giving us some form of a free expression site, 213 00:12:07,280 --> 00:12:09,240 Speaker 1: and I think that can be very helpful. It took 214 00:12:09,240 --> 00:12:12,280 Speaker 1: a decade for that to happen on social media, fifteen years. 215 00:12:12,800 --> 00:12:14,840 Speaker 1: I don't know that there's going to be the equivalent 216 00:12:14,880 --> 00:12:17,280 Speaker 1: in AI. I hope I'm wrong, but it seems to 217 00:12:17,320 --> 00:12:20,080 Speaker 1: me like we're just creating new woker algorithms that could 218 00:12:20,080 --> 00:12:24,760 Speaker 1: be even more impactful. Absolutely, And when you're talking about AI, 219 00:12:25,120 --> 00:12:27,200 Speaker 1: you're not just talking about. 220 00:12:27,320 --> 00:12:30,040 Speaker 3: The editorial choice of what to put up the page. 221 00:12:30,480 --> 00:12:36,199 Speaker 3: You're talking about the ability to fabricate primary source material, 222 00:12:36,800 --> 00:12:41,800 Speaker 3: archival footage, archival photos, all kinds of texts that would 223 00:12:41,840 --> 00:12:45,200 Speaker 3: be you know, aged looking, and AI can make it 224 00:12:45,240 --> 00:12:49,800 Speaker 3: look real, right, So our perception of the past. I 225 00:12:49,800 --> 00:12:54,680 Speaker 3: don't think people should should leave out the possibility here 226 00:12:55,200 --> 00:12:56,880 Speaker 3: because I think it's very real that there are people 227 00:12:56,920 --> 00:13:00,920 Speaker 3: on the left who would feel ideologically, they would feel 228 00:13:01,000 --> 00:13:02,680 Speaker 3: righteous in. 229 00:13:02,920 --> 00:13:03,760 Speaker 2: Doing their version. 230 00:13:03,760 --> 00:13:06,079 Speaker 3: If you know what the Soviets used to do when 231 00:13:06,120 --> 00:13:08,640 Speaker 3: they would eliminate something, they kept, you know, pretty detailed records. 232 00:13:09,080 --> 00:13:12,920 Speaker 3: Sometimes they would use a razor blade play to remove 233 00:13:12,960 --> 00:13:15,880 Speaker 3: the name from paper because they just figured, you know, 234 00:13:16,040 --> 00:13:18,240 Speaker 3: we're going to excize it that way, so it's like 235 00:13:18,280 --> 00:13:20,600 Speaker 3: it was never even there. Yeah, you know, there's still 236 00:13:20,600 --> 00:13:23,040 Speaker 3: a hole, right, but it doesn't matter. It's gone forever. 237 00:13:24,360 --> 00:13:26,760 Speaker 3: It feels very Soviet to me that they want to 238 00:13:26,800 --> 00:13:30,000 Speaker 3: try to change what our perception of history is because 239 00:13:30,040 --> 00:13:33,280 Speaker 3: they recognize that controlling the past gives you power over. 240 00:13:33,200 --> 00:13:34,240 Speaker 2: The narrative of the present. 241 00:13:35,720 --> 00:13:38,720 Speaker 1: I think everybody out there should be terrified, I'd be 242 00:13:38,720 --> 00:13:42,679 Speaker 1: interested in your calls. And again, so many kids. The 243 00:13:42,720 --> 00:13:45,840 Speaker 1: power of AI is they're going to blindly accept what 244 00:13:45,880 --> 00:13:48,840 Speaker 1: they are told. And that's scary no matter what the 245 00:13:48,920 --> 00:13:50,960 Speaker 1: concept is. But I think it's even more so because 246 00:13:50,960 --> 00:13:53,640 Speaker 1: at least Google buck gives you the opportunity. When you 247 00:13:53,640 --> 00:13:55,840 Speaker 1: do a Google search, you can scroll down. A lot 248 00:13:55,880 --> 00:13:57,959 Speaker 1: of people click on the first thing, whatever it is, 249 00:13:58,240 --> 00:13:59,960 Speaker 1: but you can scroll down and you can look at 250 00:14:00,080 --> 00:14:02,000 Speaker 1: the first seven or eight or even the first page 251 00:14:02,040 --> 00:14:03,960 Speaker 1: results and make a choice about the source that you 252 00:14:04,000 --> 00:14:04,480 Speaker 1: want to pick. 253 00:14:04,880 --> 00:14:08,640 Speaker 3: Not here, you know it would be a fascinating ven diagram. 254 00:14:09,080 --> 00:14:14,720 Speaker 3: People who enthusiastically masked up, people who had Ukraine flags 255 00:14:14,720 --> 00:14:19,040 Speaker 3: in their bio, and people who openly loved Hamilton would 256 00:14:19,040 --> 00:14:22,800 Speaker 3: have came. These are all people that do whatever the 257 00:14:22,840 --> 00:14:24,440 Speaker 3: machine tells them to do. 258 00:14:25,400 --> 00:14:26,840 Speaker 1: One thing as we go to break here in the 259 00:14:26,880 --> 00:14:29,920 Speaker 1: first segment, I want someone smart to do a country 260 00:14:29,960 --> 00:14:33,640 Speaker 1: and Western version of the Obama administration, and I want 261 00:14:33,640 --> 00:14:35,840 Speaker 1: them to have a white guy playing Obama and see 262 00:14:35,880 --> 00:14:39,120 Speaker 1: what the result is. Barack and Michelle Obama country and 263 00:14:39,200 --> 00:14:42,880 Speaker 1: Western version. I want white people playing Barack and Michelle 264 00:14:42,880 --> 00:14:47,000 Speaker 1: Obama in a country and Western version of their administration 265 00:14:47,320 --> 00:14:49,840 Speaker 1: and see what the reaction would be. If you have 266 00:14:49,960 --> 00:14:52,600 Speaker 1: valuables in your home, like gold or silver, for instance, 267 00:14:52,720 --> 00:14:55,080 Speaker 1: you definitely need a safe to protect them. Plus if 268 00:14:55,080 --> 00:14:57,720 Speaker 1: you keep cash on hand, you have firearms you need 269 00:14:57,800 --> 00:15:01,000 Speaker 1: to keep safe. More than two million Americans have chosen 270 00:15:01,360 --> 00:15:04,080 Speaker 1: Liberty Save for this once in a lifetime purchase. This 271 00:15:04,120 --> 00:15:05,960 Speaker 1: is one that you want to get right because once 272 00:15:06,000 --> 00:15:07,520 Speaker 1: you get your safe in, you're not going to want 273 00:15:07,520 --> 00:15:09,440 Speaker 1: to move it right, So get the right one the 274 00:15:09,520 --> 00:15:12,760 Speaker 1: first time. That's why I have a Liberty Safe in 275 00:15:12,840 --> 00:15:15,760 Speaker 1: my home. 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Travis and Buck Sexton on the front 291 00:16:08,320 --> 00:16:09,640 Speaker 3: lines of truth. 292 00:16:09,960 --> 00:16:11,160 Speaker 2: I love dogs. 293 00:16:11,600 --> 00:16:15,560 Speaker 3: I think ninety nine percent of this audience would agree 294 00:16:15,560 --> 00:16:19,000 Speaker 3: with me. Klake, I love them. Ginger was running around. 295 00:16:19,080 --> 00:16:21,400 Speaker 3: If you saw in the video, go to clanbuck dot com. 296 00:16:21,880 --> 00:16:24,440 Speaker 3: She decides, right, she's been a little up. I'm sorry, 297 00:16:24,440 --> 00:16:27,560 Speaker 3: she barked in the background. She decided to get the 298 00:16:27,640 --> 00:16:31,000 Speaker 3: zoomies in the radio studio. I've never seen an animal 299 00:16:31,040 --> 00:16:33,280 Speaker 3: run so fast in such a confined space. She was 300 00:16:33,280 --> 00:16:35,000 Speaker 3: just running in circles while I was trying to start 301 00:16:35,000 --> 00:16:37,560 Speaker 3: the show with you. But I love dogs. I'd spring 302 00:16:37,560 --> 00:16:39,880 Speaker 3: it up because Carrie and I we had to stop her. 303 00:16:40,000 --> 00:16:41,720 Speaker 3: We want to go adopt a few. We want to 304 00:16:41,760 --> 00:16:43,240 Speaker 3: just get like a whole house full of dogs. We 305 00:16:43,240 --> 00:16:47,720 Speaker 3: want kids, the whole thing. Joe Biden's dog. This just 306 00:16:47,800 --> 00:16:49,400 Speaker 3: came out yesterday. 307 00:16:49,360 --> 00:16:54,560 Speaker 1: Has bitten secret Service agents twenty four times. 308 00:16:54,760 --> 00:16:55,240 Speaker 2: Now, I know. 309 00:16:55,200 --> 00:16:57,680 Speaker 1: People get very defensive. They go, oh, it's a rescue. No, no, no, no, 310 00:16:57,920 --> 00:16:58,960 Speaker 1: it's not about the dog. 311 00:16:59,560 --> 00:17:02,520 Speaker 3: They're so something wrong with Biden and his handlers Clay 312 00:17:02,760 --> 00:17:05,720 Speaker 3: that they have one white house dog or maybe it's two, 313 00:17:05,800 --> 00:17:08,679 Speaker 3: but they're not many of them, and it's attacking secret 314 00:17:08,720 --> 00:17:09,720 Speaker 3: Service agents basically. 315 00:17:09,760 --> 00:17:12,720 Speaker 2: Twenty four bytes. Yeah, twenty four bites. 316 00:17:12,720 --> 00:17:14,160 Speaker 1: And I'm gonna talk about this when we come back 317 00:17:14,160 --> 00:17:15,919 Speaker 1: for a secon because I think I've told the story 318 00:17:15,960 --> 00:17:18,879 Speaker 1: on this show. When I was in first grade, I 319 00:17:18,960 --> 00:17:23,760 Speaker 1: got bitten by a German shepherd and you know, fortunately 320 00:17:23,800 --> 00:17:27,360 Speaker 1: it didn't detract from my incredible good looks, but you 321 00:17:27,400 --> 00:17:30,840 Speaker 1: can still see I have a big scar on my 322 00:17:31,000 --> 00:17:35,280 Speaker 1: face where that dog got me. And the idea to me, 323 00:17:35,440 --> 00:17:40,199 Speaker 1: what this just represents is where are the consequences for 324 00:17:40,400 --> 00:17:46,000 Speaker 1: anyone around Joe Biden. It feels to me like everyone 325 00:17:46,040 --> 00:17:48,320 Speaker 1: that is connected to him in any way, whether it's 326 00:17:48,320 --> 00:17:51,200 Speaker 1: his son, whether it's his brother, whether it's his dog, 327 00:17:51,280 --> 00:17:55,320 Speaker 1: whether it's doctor Jill, there is a consequence free environment, 328 00:17:55,440 --> 00:17:58,840 Speaker 1: and I think the dog is a representative example of that. 329 00:17:59,080 --> 00:18:00,560 Speaker 1: And I'm gonna tell you why in a sec But 330 00:18:00,600 --> 00:18:03,399 Speaker 1: Tune of the Towers continues to deliver on its promise 331 00:18:03,480 --> 00:18:05,959 Speaker 1: to do good and never forget. September eleventh, to ord 332 00:18:05,960 --> 00:18:09,920 Speaker 1: the sacrifices America's greatest heroes have made for US. Heroes 333 00:18:10,040 --> 00:18:14,000 Speaker 1: like US Army specialist James Donaldson. Donaldson lost his legs 334 00:18:14,000 --> 00:18:16,840 Speaker 1: when he was hit by an ied and improvised explosive 335 00:18:16,840 --> 00:18:19,680 Speaker 1: device in Iraq. Moving around his home was a struggle 336 00:18:19,760 --> 00:18:21,840 Speaker 1: until Toun of the Towers gave him a mortgage free, 337 00:18:21,920 --> 00:18:25,520 Speaker 1: specially adapted smart home. The home not only enabled Donaldson 338 00:18:25,560 --> 00:18:27,960 Speaker 1: to live a more independent life and allowed him to 339 00:18:28,000 --> 00:18:30,600 Speaker 1: be a better father. Since nine to eleven, Tunnel of 340 00:18:30,640 --> 00:18:33,440 Speaker 1: the Towers has been committed to supporting America's heroes and 341 00:18:33,480 --> 00:18:36,840 Speaker 1: their families, all while making sure that America keeps his 342 00:18:36,960 --> 00:18:40,280 Speaker 1: solemn promise to never forgets. September eleventh, two thousand and one, 343 00:18:40,520 --> 00:18:43,880 Speaker 1: or the service members who sacrificed their lives and bodies 344 00:18:43,920 --> 00:18:47,399 Speaker 1: for our country help families like the Donaldsons. Join us 345 00:18:47,440 --> 00:18:49,560 Speaker 1: in donating eleven dollars a month to Tunnel of the 346 00:18:49,600 --> 00:18:52,440 Speaker 1: Towers at T two t dot org. That's t the 347 00:18:52,560 --> 00:18:55,680 Speaker 1: number two T dot org ninety five cents of every 348 00:18:55,760 --> 00:18:59,440 Speaker 1: dollar goes directly to the programs T two T dot 349 00:18:59,520 --> 00:19:02,600 Speaker 1: org Welcome back in Clay, Travis buck Sexton show a 350 00:19:02,600 --> 00:19:07,840 Speaker 1: lot of funny comments. One of you wrote in, I 351 00:19:07,880 --> 00:19:10,399 Speaker 1: want to see a remake of Roots with the slaves 352 00:19:10,440 --> 00:19:13,040 Speaker 1: played by white actors. 353 00:19:13,600 --> 00:19:15,119 Speaker 2: That would be really, really funny. 354 00:19:15,359 --> 00:19:19,840 Speaker 1: I feel like the only people with the juice to 355 00:19:19,960 --> 00:19:23,359 Speaker 1: do it would be somebody like Trey Parker and Matt Stone, 356 00:19:23,920 --> 00:19:30,879 Speaker 1: who basically did a cartoon version of this, mocking what's 357 00:19:30,920 --> 00:19:34,719 Speaker 1: going on at Disney by saying that the South Park characters, 358 00:19:34,760 --> 00:19:38,480 Speaker 1: who are you know, little white cartoon kids, were suddenly 359 00:19:38,520 --> 00:19:42,080 Speaker 1: going to be replaced by black women in the multiverse 360 00:19:42,160 --> 00:19:44,320 Speaker 1: or whatever. They did a version of this in cartoon, 361 00:19:44,800 --> 00:19:47,800 Speaker 1: But it would be amazing to see what the reaction 362 00:19:47,960 --> 00:19:50,560 Speaker 1: would be if you did, like I said, a country 363 00:19:50,560 --> 00:19:53,760 Speaker 1: and Western version of the Obama administration with white people 364 00:19:53,840 --> 00:19:58,560 Speaker 1: playing the Obamas, or even funnier, like even more satirical, 365 00:19:58,880 --> 00:20:01,960 Speaker 1: would be doing Roots with white white. 366 00:20:01,720 --> 00:20:07,040 Speaker 2: Actors playing the original roles of the of the black actors. 367 00:20:07,960 --> 00:20:10,480 Speaker 1: By the way, let me come back on that German 368 00:20:10,520 --> 00:20:15,480 Speaker 1: shepherd commander I believe is his name anything named commander 369 00:20:15,520 --> 00:20:17,679 Speaker 1: I saw. I think it was Joe Conshach tweeting about this, 370 00:20:17,720 --> 00:20:21,280 Speaker 1: but it's true. The Washington commanders now instead of the Redskins, 371 00:20:21,280 --> 00:20:23,720 Speaker 1: have been a disaster for twenty years or whatever the 372 00:20:23,760 --> 00:20:27,639 Speaker 1: heck it is the commander German Shepherd. Maybe not a 373 00:20:27,640 --> 00:20:31,240 Speaker 1: good mix of name and location when it comes to Washington, DC, 374 00:20:32,440 --> 00:20:35,720 Speaker 1: but so buck. When I was in first grade, I 375 00:20:35,920 --> 00:20:39,920 Speaker 1: had a I had chicken pox, and I went over 376 00:20:39,960 --> 00:20:43,760 Speaker 1: to my friend Neil's house. If everybody out there, I 377 00:20:43,800 --> 00:20:46,200 Speaker 1: think I asked you this before. In New York City, 378 00:20:46,240 --> 00:20:49,679 Speaker 1: you did not have something called chicken pox parties, right. No, 379 00:20:49,840 --> 00:20:53,520 Speaker 1: When I was growing up, you got chicken pox, like 380 00:20:53,560 --> 00:20:56,560 Speaker 1: four or five, six years old. All the moms would 381 00:20:56,560 --> 00:20:59,720 Speaker 1: bring everybody together. The idea was they wanted everybody this 382 00:20:59,760 --> 00:21:01,240 Speaker 1: is you could get a chicken I think they have 383 00:21:01,240 --> 00:21:03,399 Speaker 1: a chicken pox vaccine now, but this is but I 384 00:21:03,400 --> 00:21:04,359 Speaker 1: think it actually works. 385 00:21:04,400 --> 00:21:05,520 Speaker 2: I'm like the COVID shot. 386 00:21:06,160 --> 00:21:08,920 Speaker 1: But you wanted to get chicken pox when you were 387 00:21:09,000 --> 00:21:13,200 Speaker 1: young because the data reflected that if you get it young, 388 00:21:13,440 --> 00:21:15,520 Speaker 1: it's far less likely to be serious than if you 389 00:21:15,600 --> 00:21:17,760 Speaker 1: get it you make it through your childhood and you 390 00:21:17,760 --> 00:21:19,600 Speaker 1: get it at an older age, So that was kind 391 00:21:19,600 --> 00:21:22,639 Speaker 1: of the idea. So everybody had chicken pox that I 392 00:21:22,720 --> 00:21:26,040 Speaker 1: knew around the same age, like five six years old. 393 00:21:26,320 --> 00:21:30,080 Speaker 1: It just ran through the entire neighborhood schools. Everybody got it. 394 00:21:30,119 --> 00:21:32,920 Speaker 1: I'm over at my friend Neil's house. He has a 395 00:21:33,040 --> 00:21:36,359 Speaker 1: German Shepherd named Casper. And when you're a little kid, 396 00:21:37,840 --> 00:21:41,640 Speaker 1: dogs are really close to you. I think you forget 397 00:21:41,720 --> 00:21:45,119 Speaker 1: as you become an adult. A dog might come up 398 00:21:45,160 --> 00:21:47,200 Speaker 1: to your you know, it might come up to your knee, 399 00:21:47,280 --> 00:21:49,880 Speaker 1: might come up to your hip when you're an adult, 400 00:21:50,240 --> 00:21:53,919 Speaker 1: but you have space between his mouth and your face. 401 00:21:54,359 --> 00:21:57,240 Speaker 1: When you're a little kid, a big dog like a 402 00:21:57,280 --> 00:22:01,800 Speaker 1: German Shepherd is is right by your face. Basically, I 403 00:22:01,880 --> 00:22:05,879 Speaker 1: went outside, I pet the top of this dog's head, 404 00:22:06,400 --> 00:22:11,480 Speaker 1: and the dog, German shepherd, immediately leapt up and basically 405 00:22:11,560 --> 00:22:15,320 Speaker 1: ripped off half my face. I had buck a hole 406 00:22:15,359 --> 00:22:19,760 Speaker 1: in my cheek. My lip was split open all the 407 00:22:19,760 --> 00:22:24,080 Speaker 1: way up to the nose. You could see my cheek bone. 408 00:22:24,800 --> 00:22:27,359 Speaker 1: All of the skin was just hanging off one side 409 00:22:27,359 --> 00:22:31,800 Speaker 1: of my face. Now, this dog narrowly missed my eye 410 00:22:32,520 --> 00:22:36,080 Speaker 1: and narrowly missed my throat either direction, I could have. 411 00:22:36,119 --> 00:22:38,280 Speaker 2: Lost an eye I could have lost. 412 00:22:38,560 --> 00:22:39,800 Speaker 1: I mean, if you get hit in the throat, I 413 00:22:39,840 --> 00:22:42,680 Speaker 1: mean I could have died right if he hit the 414 00:22:43,160 --> 00:22:45,879 Speaker 1: throat at the right place. There's a dog in the backyard, 415 00:22:46,560 --> 00:22:50,119 Speaker 1: never had any issue at all, but he jumped up. 416 00:22:50,160 --> 00:22:51,000 Speaker 2: I didn't do anything. 417 00:22:51,040 --> 00:22:52,919 Speaker 1: I reached out, I pet him on the head, and 418 00:22:53,000 --> 00:22:55,919 Speaker 1: next thing you know, he's attacked me. And I had 419 00:22:55,960 --> 00:22:58,040 Speaker 1: to get over fifty stitches. You think about how many 420 00:22:58,080 --> 00:23:01,119 Speaker 1: fifty stitches are on a who's that little. 421 00:23:01,400 --> 00:23:03,880 Speaker 2: I mean, my whole face was a stitch, basically. 422 00:23:05,359 --> 00:23:10,280 Speaker 1: And so the idea that you would allow that dog 423 00:23:10,359 --> 00:23:14,080 Speaker 1: when that happened, they put that dog down. They said, 424 00:23:14,200 --> 00:23:18,240 Speaker 1: if that dog is capable of attacking a kid in 425 00:23:18,320 --> 00:23:21,880 Speaker 1: the backyard that was doing nothing, that dog is too 426 00:23:22,000 --> 00:23:26,560 Speaker 1: dangerous to allow to be around other people too. The 427 00:23:26,680 --> 00:23:31,440 Speaker 1: idea that you would allow a dog to bite twenty 428 00:23:31,480 --> 00:23:35,640 Speaker 1: four people at the White House, many of whom were bought, 429 00:23:36,000 --> 00:23:41,080 Speaker 1: bit significantly enough buck that they needed to go to treatment. 430 00:23:41,119 --> 00:23:42,639 Speaker 2: Some people say, well, it's just dog, Why does it 431 00:23:42,720 --> 00:23:45,879 Speaker 2: matter to me? It is. That's how you have a 432 00:23:46,000 --> 00:23:47,600 Speaker 2: huge baggie of cocaine. 433 00:23:48,040 --> 00:23:51,159 Speaker 1: That's how to me, that's how you have somebody like 434 00:23:51,200 --> 00:23:54,000 Speaker 1: Hunter Biden who's never paid any consequence for any of 435 00:23:54,040 --> 00:23:59,480 Speaker 1: his behavior. Biden doesn't seem capable of holding anyone around him. 436 00:23:59,480 --> 00:24:02,000 Speaker 1: That's how you have Southern border that's wide open. There 437 00:24:02,080 --> 00:24:07,800 Speaker 1: are no consequences for behavior inside of the entire Biden administration. 438 00:24:08,119 --> 00:24:10,680 Speaker 1: And I think the dog is a metaphor for that. 439 00:24:10,840 --> 00:24:13,800 Speaker 1: It shouldn't be acceptable that you would have something to do, 440 00:24:13,920 --> 00:24:16,280 Speaker 1: shouldn't be able to have a dog in bites people twice. 441 00:24:16,400 --> 00:24:18,440 Speaker 2: Secret Service agents who are forced to be there. 442 00:24:19,080 --> 00:24:23,720 Speaker 3: There's a recklessness and a lack of consideration for others 443 00:24:24,480 --> 00:24:27,320 Speaker 3: at the very top of this White House chain of command. 444 00:24:27,320 --> 00:24:31,280 Speaker 3: I mean, Joe Biden slash his handlers. It's very interesting 445 00:24:31,280 --> 00:24:35,080 Speaker 3: to see who really is in charge of these things, right. 446 00:24:35,119 --> 00:24:37,439 Speaker 3: We don't know that's kept from us, but Biden is 447 00:24:37,520 --> 00:24:41,800 Speaker 3: clearly say he's lost a step. As an understatement, Biden 448 00:24:41,880 --> 00:24:45,199 Speaker 3: doesn't have that many steps left. I mean, Biden is 449 00:24:45,240 --> 00:24:47,639 Speaker 3: a guy who's going to be needing round the clock 450 00:24:47,680 --> 00:24:50,200 Speaker 3: care within just a matter of a few years, I think, 451 00:24:50,240 --> 00:24:53,399 Speaker 3: at best. And on the dog issue, I mean, I 452 00:24:53,440 --> 00:24:55,600 Speaker 3: know people get very very fired up about this. I 453 00:24:55,640 --> 00:24:58,560 Speaker 3: was telling you this before. I just took as actually, 454 00:24:58,600 --> 00:25:02,240 Speaker 3: Carol Markowitz, our friend who's the Carol Markowitz Show. She's 455 00:25:02,640 --> 00:25:05,600 Speaker 3: Her podcast appears on the Clay and Buck streams. If 456 00:25:05,640 --> 00:25:07,880 Speaker 3: you subscribe to Clay and Bucky list the Carol Markets Show. 457 00:25:07,880 --> 00:25:08,520 Speaker 2: It's a great show. 458 00:25:09,000 --> 00:25:11,199 Speaker 3: Another pitch for you all the subscribe to content that 459 00:25:11,280 --> 00:25:13,000 Speaker 3: you can't hear here on the radio, but it's in 460 00:25:13,000 --> 00:25:15,560 Speaker 3: our podcast stream. I took her out for an intro 461 00:25:16,840 --> 00:25:19,960 Speaker 3: intro firearms day effectively. Right, I've been through this many 462 00:25:20,040 --> 00:25:23,960 Speaker 3: times CIA and MYPD and now in private life, I 463 00:25:24,040 --> 00:25:27,920 Speaker 3: train with some instructors and we took her out. And 464 00:25:28,760 --> 00:25:30,679 Speaker 3: one thing I'd say is, when you're starting out with 465 00:25:30,760 --> 00:25:34,680 Speaker 3: somebody you know, you don't put a you know, you'd 466 00:25:34,680 --> 00:25:36,840 Speaker 3: start them maybe with a nine millimeter pistol and then 467 00:25:36,880 --> 00:25:38,840 Speaker 3: you maybe you sort of build up and then you 468 00:25:38,880 --> 00:25:40,520 Speaker 3: go to long gun. If you're going to do some 469 00:25:40,560 --> 00:25:43,120 Speaker 3: tactical shooting, you don't start them out with a fully 470 00:25:43,119 --> 00:25:45,320 Speaker 3: automatic weapon and say here you go, pull the trigger 471 00:25:45,320 --> 00:25:48,560 Speaker 3: and see what happens. Right, Because it's an it can 472 00:25:48,600 --> 00:25:50,800 Speaker 3: be fine in the hands of somebody who knows what 473 00:25:50,840 --> 00:25:54,000 Speaker 3: they're doing, it's perfectly safe. But if you don't know 474 00:25:54,040 --> 00:25:56,960 Speaker 3: what you're doing, I mean, I have a phenomenal Kerry 475 00:25:57,000 --> 00:25:58,919 Speaker 3: and I have a phenomenal dog trainer. 476 00:25:58,920 --> 00:26:01,240 Speaker 2: Her name is Tekla, and he's been helping us with Ginger. 477 00:26:02,000 --> 00:26:02,919 Speaker 2: With Ginger, the. 478 00:26:05,240 --> 00:26:08,680 Speaker 1: Area of I put this your room for error, your 479 00:26:08,720 --> 00:26:11,040 Speaker 1: margin for error is if she has a bad day, 480 00:26:11,040 --> 00:26:12,320 Speaker 1: she's gonna nip you on the ankle. 481 00:26:12,359 --> 00:26:12,880 Speaker 2: You know what I mean? 482 00:26:13,000 --> 00:26:15,720 Speaker 1: Yeah, if you have a one hundred and twenty pound 483 00:26:15,760 --> 00:26:20,040 Speaker 1: present Canario, or you have a pit bull that is, 484 00:26:20,520 --> 00:26:23,840 Speaker 1: you know, very broad chested and weighs eighty pounds, et cetera. 485 00:26:24,280 --> 00:26:26,560 Speaker 1: It's not that you know that can't be a good dog. 486 00:26:26,600 --> 00:26:28,359 Speaker 1: It's that do you know how to handle that dog? 487 00:26:28,800 --> 00:26:30,560 Speaker 2: Right? Are you capable of? 488 00:26:30,920 --> 00:26:33,200 Speaker 3: And German Shepherd's a lot of dog and I've seen 489 00:26:33,280 --> 00:26:36,960 Speaker 3: people more than once who couldn't handle their German Shepherd. 490 00:26:36,960 --> 00:26:39,280 Speaker 3: I've seen people who couldn't handle their dog breeds as well. 491 00:26:39,480 --> 00:26:42,280 Speaker 3: But it's different than when you can't handle your miniature poodle. 492 00:26:42,480 --> 00:26:45,520 Speaker 3: It's like a twenty two caliber versus a machine gun. 493 00:26:46,040 --> 00:26:50,479 Speaker 3: Joe Biden having a German Shepherd? What is he doing? 494 00:26:50,920 --> 00:26:53,399 Speaker 3: He clearly can't you see what I'm saying. He clearly 495 00:26:53,480 --> 00:26:55,320 Speaker 3: can't be the one in charge of it. There's no way. 496 00:26:55,800 --> 00:26:57,679 Speaker 1: So someone else is in charge of it, who's in 497 00:26:57,760 --> 00:27:00,159 Speaker 1: charge of it? It's biting people. It just goes to 498 00:27:00,160 --> 00:27:03,080 Speaker 1: show you there is a lack of command and control. 499 00:27:03,160 --> 00:27:05,199 Speaker 1: I know people are gonna say, this is overreach, this 500 00:27:05,280 --> 00:27:05,760 Speaker 1: is crazy. 501 00:27:05,760 --> 00:27:06,480 Speaker 2: It's just a dog. 502 00:27:06,880 --> 00:27:08,639 Speaker 1: This is a dog in the White House that is 503 00:27:08,720 --> 00:27:12,439 Speaker 1: injuring Secret Service agents and the President's not embarrassed by 504 00:27:12,400 --> 00:27:14,720 Speaker 1: it because the president doesn't even know, because the president's 505 00:27:14,760 --> 00:27:18,560 Speaker 1: not really calling the shots behind closed doors. Yeah, and look, 506 00:27:18,640 --> 00:27:22,680 Speaker 1: I had to have after this biting three surgeries as 507 00:27:22,720 --> 00:27:25,600 Speaker 1: a little kid, and again you can still see a 508 00:27:25,600 --> 00:27:27,479 Speaker 1: pretty significant scar on my face. 509 00:27:27,560 --> 00:27:30,640 Speaker 2: Now I'm fine. I'm not a huge fan of dogs 510 00:27:30,920 --> 00:27:31,680 Speaker 2: as a result. 511 00:27:31,760 --> 00:27:33,600 Speaker 1: If you had half your face ripped off by a 512 00:27:33,640 --> 00:27:36,160 Speaker 1: dog when you were five or six years old, you're 513 00:27:36,160 --> 00:27:38,440 Speaker 1: probably not sitting around like I want twenty dogs in 514 00:27:38,520 --> 00:27:44,920 Speaker 1: my house. But to me, it is an incredible form 515 00:27:44,960 --> 00:27:51,239 Speaker 1: of recklessness and entitlement for Joe Biden to decide his 516 00:27:51,400 --> 00:27:56,800 Speaker 1: German shepherd can bite people twenty four times before they say, okay, 517 00:27:56,800 --> 00:27:59,600 Speaker 1: we need to do something about this. And I'm sure 518 00:27:59,800 --> 00:28:02,480 Speaker 1: all the Secret Service agents and everybody who's working in 519 00:28:02,480 --> 00:28:05,520 Speaker 1: the White House that's getting bit who are lower down 520 00:28:05,560 --> 00:28:09,000 Speaker 1: the food chain than Joe Biden are sitting around saying 521 00:28:09,040 --> 00:28:12,439 Speaker 1: why should we be at risk from this dog in 522 00:28:12,560 --> 00:28:14,240 Speaker 1: order to try to do our job and buck I 523 00:28:14,240 --> 00:28:18,919 Speaker 1: always think this is really the lesson of life. You 524 00:28:18,960 --> 00:28:24,560 Speaker 1: don't judge people by how they treat their equals. I 525 00:28:24,560 --> 00:28:28,119 Speaker 1: don't think you judge people by how they treat their boss. 526 00:28:28,920 --> 00:28:33,080 Speaker 1: To me, you judge people by how they treat people 527 00:28:33,119 --> 00:28:36,680 Speaker 1: who are in theory beneath them in some way, right, 528 00:28:36,680 --> 00:28:38,560 Speaker 1: How do you treat a waiter or a waitress, How 529 00:28:38,560 --> 00:28:42,760 Speaker 1: do you treat a somebody who is cleaning a car, 530 00:28:42,960 --> 00:28:45,680 Speaker 1: How do you treat somebody who is in a service 531 00:28:45,720 --> 00:28:47,000 Speaker 1: industry job, or. 532 00:28:47,000 --> 00:28:49,960 Speaker 3: In the case of Secret Service, somebody who is sworn 533 00:28:50,000 --> 00:28:52,720 Speaker 3: to protect you and put themselves in harm's way to 534 00:28:52,760 --> 00:28:56,280 Speaker 3: protect you. Joe Biden used to go naked swimming in 535 00:28:56,280 --> 00:29:00,760 Speaker 3: front of female Secret Service detailes without a second and 536 00:29:00,800 --> 00:29:03,280 Speaker 3: now has his dog running around biting them all the time. 537 00:29:03,640 --> 00:29:06,320 Speaker 3: I know somebody who was on Biden's detail Secret Service, 538 00:29:06,560 --> 00:29:08,520 Speaker 3: and I cannot say on the radio what he thought 539 00:29:08,560 --> 00:29:10,200 Speaker 3: of him, but he was not a fan. 540 00:29:10,720 --> 00:29:14,720 Speaker 1: Well, so I think that ultimately you get a sense 541 00:29:14,800 --> 00:29:18,840 Speaker 1: for what somebody is really like by how they. 542 00:29:18,800 --> 00:29:20,000 Speaker 2: Behave in that fashion. 543 00:29:20,160 --> 00:29:23,080 Speaker 1: And to me, I think you can draw a line 544 00:29:23,120 --> 00:29:26,000 Speaker 1: between the way that the dog has behaved and frankly, 545 00:29:26,080 --> 00:29:28,360 Speaker 1: the way Hunter has behaved and the way so many 546 00:29:28,360 --> 00:29:32,000 Speaker 1: people surrounding Joe Biden have There are no consequences for 547 00:29:32,080 --> 00:29:35,400 Speaker 1: bad behavior, and when that occurs, you have entitlement and 548 00:29:35,440 --> 00:29:36,760 Speaker 1: you have worse behavior coming. 549 00:29:37,080 --> 00:29:39,360 Speaker 3: I agree with all that. I also think it goes 550 00:29:39,360 --> 00:29:42,520 Speaker 3: to chain of command. Though Joe Biden is not in 551 00:29:42,600 --> 00:29:46,520 Speaker 3: charge of commander obviously, but what does it say that 552 00:29:46,600 --> 00:29:49,720 Speaker 3: the President of the United States can't be in charge 553 00:29:49,720 --> 00:29:50,840 Speaker 3: of his own dog Clay? 554 00:29:50,960 --> 00:29:52,600 Speaker 2: Yeah, you know what I'm saying. 555 00:29:52,640 --> 00:29:55,000 Speaker 3: This, How far are we from Joe Biden can't tie 556 00:29:55,080 --> 00:29:56,920 Speaker 3: his own shoes in the morning? Really, you know, this 557 00:29:57,040 --> 00:29:59,440 Speaker 3: is what you know, Dog's a very personal thing, right 558 00:29:59,440 --> 00:30:01,360 Speaker 3: like this is this is a decis should be Joe 559 00:30:01,400 --> 00:30:03,400 Speaker 3: and Jill in charge of the dog? And you know, 560 00:30:03,480 --> 00:30:05,000 Speaker 3: for those of us who love our dogs, it's like 561 00:30:05,040 --> 00:30:07,120 Speaker 3: a member of the family. You don't you don't just 562 00:30:07,120 --> 00:30:09,520 Speaker 3: sort of do this for the for the optics, and 563 00:30:09,640 --> 00:30:11,840 Speaker 3: clearly he's not actually in charge. 564 00:30:11,840 --> 00:30:13,080 Speaker 2: It has no idea what's going on? 565 00:30:13,280 --> 00:30:15,640 Speaker 3: Eight hundred two two two eight A two I'm sure, 566 00:30:15,640 --> 00:30:17,720 Speaker 3: some dog owners gonna have some thoughts on all this stuff. 567 00:30:18,680 --> 00:30:21,440 Speaker 3: But if you're a sports fan out there, Prize Picks 568 00:30:21,560 --> 00:30:23,600 Speaker 3: app is the thing you want to download if you 569 00:30:23,640 --> 00:30:27,600 Speaker 3: haven't already done so, America's number one fantasy sports app, 570 00:30:27,880 --> 00:30:30,440 Speaker 3: the easiest way to play daily fantasy sports. 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Today's a great day to get started with it, 583 00:31:03,120 --> 00:31:06,680 Speaker 1: with the NBA action going on tonight plus college basketball. 584 00:31:07,520 --> 00:31:10,800 Speaker 1: Last night, I saw what University of Miami was playing 585 00:31:10,920 --> 00:31:12,600 Speaker 1: Duke right that was in I was in the den. 586 00:31:12,960 --> 00:31:14,920 Speaker 2: Well, look at you, Look at you with the big 587 00:31:14,960 --> 00:31:15,800 Speaker 2: sports knowledge. 588 00:31:16,160 --> 00:31:16,600 Speaker 4: That's right. 589 00:31:16,640 --> 00:31:18,920 Speaker 2: I saw the people shooting the hoops. 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Learn, 596 00:31:36,600 --> 00:31:39,840 Speaker 2: laugh and join us on the weekend on our Sunday 597 00:31:39,880 --> 00:31:41,480 Speaker 2: Hang with Clay and Fuck. 598 00:31:41,320 --> 00:31:44,280 Speaker 1: Podcast Fight It on the iHeart app or wherever you 599 00:31:44,360 --> 00:31:45,320 Speaker 1: get your podcasts. 600 00:31:45,560 --> 00:31:47,360 Speaker 2: Welcome back into Clay and Buck. 601 00:31:47,920 --> 00:31:50,440 Speaker 3: Probably gonna spend some time in the next hour talking 602 00:31:50,480 --> 00:31:55,440 Speaker 3: to you about vps for Trump, but also this plan 603 00:31:55,560 --> 00:31:58,800 Speaker 3: to give migrants ten thousand dollars a year in cash. 604 00:31:59,120 --> 00:31:59,800 Speaker 2: More details. 605 00:32:00,000 --> 00:32:03,080 Speaker 3: I'm on that one because now we just we let people, 606 00:32:03,520 --> 00:32:06,240 Speaker 3: We give away the right to be in America as 607 00:32:06,240 --> 00:32:07,880 Speaker 3: a country, that's what's going on, and then we give 608 00:32:07,880 --> 00:32:10,160 Speaker 3: away the cash of the people here who have to 609 00:32:10,160 --> 00:32:11,880 Speaker 3: give their money to the government or else they go 610 00:32:11,920 --> 00:32:12,320 Speaker 3: to prison. 611 00:32:12,360 --> 00:32:16,360 Speaker 2: It's quite a system. We have John in San Diego. 612 00:32:16,520 --> 00:32:22,600 Speaker 2: What's going on? John? You? Hello, what's up? 613 00:32:22,800 --> 00:32:27,760 Speaker 5: Yes, I just wanted to kind of chime in about 614 00:32:27,800 --> 00:32:30,640 Speaker 5: what you guys are talking about and German shephers and stuff. 615 00:32:30,680 --> 00:32:34,360 Speaker 5: I've had him for forty years, and when I was 616 00:32:34,440 --> 00:32:37,600 Speaker 5: younger and I was doing not such good things and 617 00:32:37,680 --> 00:32:41,960 Speaker 5: hanging around not such good people, my dog was a 618 00:32:42,000 --> 00:32:44,880 Speaker 5: reflection of me, and he was a mean dog. And 619 00:32:45,640 --> 00:32:48,840 Speaker 5: when I got sober, it seems that my dog got 620 00:32:48,880 --> 00:32:53,240 Speaker 5: sober too, and he was a totally different dog when 621 00:32:53,240 --> 00:32:54,440 Speaker 5: I changed my lifestyle. 622 00:32:55,400 --> 00:32:57,520 Speaker 2: And dogs pick up you can I say something. 623 00:32:57,560 --> 00:33:01,920 Speaker 3: I mean, dogs pick up anxiety in the household. 624 00:33:02,520 --> 00:33:05,480 Speaker 1: By the way, I think a huge part of parents, 625 00:33:05,640 --> 00:33:07,760 Speaker 1: So people that are you know, when when parents are 626 00:33:07,880 --> 00:33:09,080 Speaker 1: you know, if you if you let's say, you know, 627 00:33:09,160 --> 00:33:11,440 Speaker 1: not to speak to you ser But in general, if 628 00:33:11,440 --> 00:33:14,920 Speaker 1: someone is fighting a lot with their spouse, that creates 629 00:33:14,960 --> 00:33:18,040 Speaker 1: a more anxious, intense dog. That's that that's fearful and 630 00:33:18,080 --> 00:33:20,280 Speaker 1: more likely to let these things are This is all 631 00:33:20,400 --> 00:33:21,440 Speaker 1: very clear in the literature. 632 00:33:21,440 --> 00:33:25,479 Speaker 5: Go ahead, yeah, yeah, totally. And I would think that 633 00:33:25,480 --> 00:33:27,840 Speaker 5: that dog would have some type of training like shifts 634 00:33:27,880 --> 00:33:30,240 Speaker 5: and training, or some type of training where he's on 635 00:33:30,520 --> 00:33:33,040 Speaker 5: or off, just like a police dog. I mean, they're 636 00:33:33,080 --> 00:33:36,000 Speaker 5: either on or they're off. And something's got to be 637 00:33:36,040 --> 00:33:41,200 Speaker 5: going on with with commander that he's something's uneasy and 638 00:33:41,240 --> 00:33:43,840 Speaker 5: he's uh acting out. You know, by the. 639 00:33:43,800 --> 00:33:45,840 Speaker 3: Way you see it because you you own a German 640 00:33:46,360 --> 00:33:48,360 Speaker 3: you know, you and a German shepherd, so you understand 641 00:33:48,960 --> 00:33:51,120 Speaker 3: that there's something going on behind closed doors because those 642 00:33:51,120 --> 00:33:55,600 Speaker 3: can be very loving family family pets. But as Clay 643 00:33:55,640 --> 00:33:58,640 Speaker 3: was discussing, and have you discussed if somebody mishandles it, 644 00:33:58,720 --> 00:34:02,800 Speaker 3: like I said, you're miss handling you know, a machine gun, 645 00:34:02,840 --> 00:34:05,360 Speaker 3: not a twenty two. I mean they can do real damage. 646 00:34:05,480 --> 00:34:07,800 Speaker 3: And most people would say, I thank you for the call. 647 00:34:07,840 --> 00:34:10,520 Speaker 3: By the way, most people would say that their dogs 648 00:34:10,600 --> 00:34:13,359 Speaker 3: have a one or two bite rule, right, I mean, 649 00:34:13,400 --> 00:34:16,520 Speaker 3: if you bite somebody once, the odds that you're going 650 00:34:16,600 --> 00:34:19,120 Speaker 3: to bite somebody again is high. And I'm not talking 651 00:34:19,120 --> 00:34:22,680 Speaker 3: about like playful you know, nipping and things like that, right, 652 00:34:22,680 --> 00:34:27,040 Speaker 3: I'm talking about something that requires medical treatment, which is 653 00:34:27,120 --> 00:34:28,880 Speaker 3: different than like, hey, we're going to go throw a 654 00:34:28,920 --> 00:34:30,439 Speaker 3: ball and you're pulling a ball out of the mouth. 655 00:34:30,800 --> 00:34:32,640 Speaker 3: Bite from a German shepherd is going to break the 656 00:34:32,680 --> 00:34:35,239 Speaker 3: skin and that means the animal is trying to do 657 00:34:35,320 --> 00:34:38,160 Speaker 3: damage and is scared and probably lashing out, or it 658 00:34:38,160 --> 00:34:40,880 Speaker 3: could be it could have prey drive coming up. But anyway, 659 00:34:42,360 --> 00:34:44,239 Speaker 3: Norman in Alabama, what's going on? 660 00:34:45,000 --> 00:34:49,040 Speaker 4: Hey, We've raised trained shepherds, and I wrote a couple 661 00:34:49,040 --> 00:34:53,440 Speaker 4: of memas for family's law here in Alabama that specify 662 00:34:53,560 --> 00:34:57,040 Speaker 4: whether a bite is justified or not justified. But under 663 00:34:57,080 --> 00:35:02,120 Speaker 4: Alabama's law of his the commander would end up being 664 00:35:02,160 --> 00:35:05,520 Speaker 4: before the court and probably put down because. 665 00:35:05,200 --> 00:35:07,160 Speaker 2: How many bites would it take? Sorry to cut you off. 666 00:35:07,160 --> 00:35:09,000 Speaker 1: And I'm actually kind of I'm assuming Emily is a 667 00:35:09,000 --> 00:35:11,440 Speaker 1: little girl in Alabama. If that's the law that was 668 00:35:11,480 --> 00:35:13,440 Speaker 1: attacked by dogs, and in some way this is the 669 00:35:13,520 --> 00:35:14,560 Speaker 1: way to protect. 670 00:35:14,239 --> 00:35:16,520 Speaker 4: The lady in North Alabama was killed by dogs. 671 00:35:16,719 --> 00:35:19,319 Speaker 1: Okay, so the ideas you're trying to protect people, what 672 00:35:19,400 --> 00:35:22,920 Speaker 1: would the number of bites be that a dog would 673 00:35:22,920 --> 00:35:25,000 Speaker 1: be in an Alabama that they would say, you know, 674 00:35:25,000 --> 00:35:26,120 Speaker 1: we got to put this dog down. 675 00:35:26,920 --> 00:35:28,960 Speaker 4: It does not have a number of bites because it 676 00:35:28,960 --> 00:35:32,200 Speaker 4: doesn't take due process away, which is something I really appreciate. 677 00:35:32,960 --> 00:35:36,239 Speaker 4: But it does bring this situation before the court after 678 00:35:36,280 --> 00:35:40,080 Speaker 4: an investigation, and if the investigation determines that this dog 679 00:35:40,239 --> 00:35:43,200 Speaker 4: is has the potential being a danger's dog, then it's 680 00:35:43,239 --> 00:35:45,640 Speaker 4: brought before the court and then either the dog be 681 00:35:45,640 --> 00:35:48,680 Speaker 4: put down or the owner has to have a bond, 682 00:35:49,120 --> 00:35:51,600 Speaker 4: has to have it in a secure area. Yea, you 683 00:35:51,680 --> 00:35:52,680 Speaker 4: create it like you with a wolf. 684 00:35:53,160 --> 00:35:56,520 Speaker 2: That's that's exactly what should be done. A great rule, Norman, 685 00:35:56,560 --> 00:35:57,400 Speaker 2: thank you for calling in. 686 00:35:58,239 --> 00:36:00,360 Speaker 3: And you know, Clay, you were saying, how when I 687 00:36:00,360 --> 00:36:03,040 Speaker 3: say kids juveniles who get access to weapons that use 688 00:36:03,400 --> 00:36:06,319 Speaker 3: if there's recklessness in the part of the parents, you 689 00:36:06,360 --> 00:36:08,719 Speaker 3: can be reckless with your dog ownership too, right, I 690 00:36:08,719 --> 00:36:11,320 Speaker 3: mean that and that and an individual, the human being, 691 00:36:11,440 --> 00:36:15,560 Speaker 3: is actually the one responsible for what happens as a 692 00:36:15,600 --> 00:36:16,720 Speaker 3: result of that dog. 693 00:36:17,480 --> 00:36:19,360 Speaker 2: We'll dive in. Do you want to do the VIP 694 00:36:19,640 --> 00:36:21,799 Speaker 2: sweepstakes a little bit here next? Because we've been talked too. 695 00:36:21,840 --> 00:36:24,080 Speaker 2: Let's do it. We haven't gotten to that one yet. 696 00:36:24,440 --> 00:36:28,240 Speaker 3: But also how that could shape the shape the upcoming 697 00:36:28,239 --> 00:36:31,240 Speaker 3: election of it if it can't at all, And then 698 00:36:31,719 --> 00:36:34,839 Speaker 3: Letitia James, the Attorney General of New York State is 699 00:36:34,920 --> 00:36:40,200 Speaker 3: saying out loud, they might just start seizing Trump's buildings. 700 00:36:41,200 --> 00:36:43,439 Speaker 3: That's where we are in twenty twenty four. Everybody Donald 701 00:36:43,440 --> 00:36:46,760 Speaker 3: Trump is running for president and they're gonna start taking 702 00:36:46,800 --> 00:36:53,200 Speaker 3: away Trump towers so to speak, we'll get into it