1 00:00:00,160 --> 00:00:03,880 Speaker 1: You're listening to the best of Clay Travis and Buck Sexton. 2 00:00:04,160 --> 00:00:06,560 Speaker 1: All right, second hour of Clay and Buck kicks off 3 00:00:06,640 --> 00:00:11,320 Speaker 1: right now. Everybody appreciate you rolling with us. We set 4 00:00:11,400 --> 00:00:14,400 Speaker 1: up the basics of the Daniel Penny trial. 5 00:00:14,600 --> 00:00:17,040 Speaker 2: It is now a trial. He has been indicted on Friday. 6 00:00:17,079 --> 00:00:19,439 Speaker 2: We're going to return to that story here in just 7 00:00:19,480 --> 00:00:23,320 Speaker 2: a few moments. Also keeping a close eye on the border. 8 00:00:23,480 --> 00:00:25,520 Speaker 2: It feels at some level like we're just giving you 9 00:00:25,600 --> 00:00:31,640 Speaker 2: updates on that disaster becoming more disastrous and some of 10 00:00:31,680 --> 00:00:35,680 Speaker 2: the additional second order effects, like now there are people 11 00:00:35,720 --> 00:00:39,680 Speaker 2: being told, sorry, you can't actually rent those rooms, or 12 00:00:40,120 --> 00:00:43,199 Speaker 2: you're not able to you know, veterans aren't able to 13 00:00:43,200 --> 00:00:47,320 Speaker 2: be housed. Let's say in some of this housing that's 14 00:00:47,360 --> 00:00:49,240 Speaker 2: meant for people to help them get back on their feet. 15 00:00:49,680 --> 00:00:53,040 Speaker 2: Got to clear out room for the illegals. That's what 16 00:00:53,080 --> 00:00:55,360 Speaker 2: we see going on. That's what we see happening. So 17 00:00:55,600 --> 00:00:57,960 Speaker 2: we'll return to those stories in a second. But this 18 00:00:58,160 --> 00:01:01,800 Speaker 2: just hit me, I mean, Clay me this and I 19 00:01:02,200 --> 00:01:06,080 Speaker 2: couldn't believe honestly at the time that this is where 20 00:01:06,120 --> 00:01:08,640 Speaker 2: things had had gone. This is the reality that we 21 00:01:08,680 --> 00:01:13,360 Speaker 2: all we all face. But they must not have been 22 00:01:13,360 --> 00:01:17,000 Speaker 2: paying very close attention over at the whoever owns I 23 00:01:17,040 --> 00:01:19,080 Speaker 2: don't even know who owns Mile Life. I, as you 24 00:01:19,120 --> 00:01:22,040 Speaker 2: all know, I don't really know much about beer at all. Beer, 25 00:01:22,120 --> 00:01:24,760 Speaker 2: I guess, and professional sports teams these days. I have 26 00:01:24,880 --> 00:01:28,160 Speaker 2: siliac disease, so I cannot drink. Drinking beer for me 27 00:01:28,319 --> 00:01:30,840 Speaker 2: is like drinking poison. I can't drink beer normal beer. 28 00:01:30,880 --> 00:01:31,080 Speaker 3: I know. 29 00:01:31,160 --> 00:01:33,720 Speaker 2: I just gonna say, what about sorgum ale? I always 30 00:01:33,720 --> 00:01:36,119 Speaker 2: want to say that people, Clay, does that sound awesome 31 00:01:36,160 --> 00:01:37,200 Speaker 2: to you? Sorghum? 32 00:01:38,120 --> 00:01:39,480 Speaker 4: I just want to say that might have been the 33 00:01:39,480 --> 00:01:43,760 Speaker 4: most Brian Stelter like audio drop of your career. I 34 00:01:43,800 --> 00:01:46,360 Speaker 4: don't really drink beer, and I don't know anything about sports. 35 00:01:46,480 --> 00:01:47,760 Speaker 5: And then everybody out there. 36 00:01:47,680 --> 00:01:51,760 Speaker 4: Is like Stelter's like I Stilter pumped his fist and 37 00:01:51,760 --> 00:01:53,640 Speaker 4: he was like I do buck was that guys? 38 00:01:54,040 --> 00:01:54,240 Speaker 1: Sex? 39 00:01:54,360 --> 00:01:56,760 Speaker 2: It is on the team. He is right there with me. 40 00:01:57,640 --> 00:01:59,960 Speaker 4: Soon you, you and Stelter are gonna be having like 41 00:02:00,680 --> 00:02:02,560 Speaker 4: where you just hug and cry, you. 42 00:02:02,520 --> 00:02:04,280 Speaker 5: Know, just try one out. You put your head on 43 00:02:04,320 --> 00:02:04,840 Speaker 5: his shoulder. 44 00:02:04,920 --> 00:02:08,200 Speaker 2: Every words, onesies, It's gonna be great, you know, with 45 00:02:08,240 --> 00:02:10,639 Speaker 2: the little You're gonna to the pjs. 46 00:02:10,680 --> 00:02:13,200 Speaker 4: The walking around with vagina hats before all is sudden 47 00:02:13,240 --> 00:02:15,040 Speaker 4: done here pretty soon in the women's march. 48 00:02:15,440 --> 00:02:16,520 Speaker 5: All right, just get back to. 49 00:02:16,480 --> 00:02:18,919 Speaker 2: Making fun of cors Lighter, miller Light or whoever, sir. 50 00:02:18,960 --> 00:02:23,240 Speaker 2: Excuse me, excuse me, excuse me. So here we had 51 00:02:23,280 --> 00:02:28,480 Speaker 2: Miller Lte watching what had happened to bud Light and deciding, 52 00:02:28,560 --> 00:02:30,120 Speaker 2: you know what, it's a good time for us to 53 00:02:30,160 --> 00:02:34,200 Speaker 2: release an ad where we also try to move the 54 00:02:34,360 --> 00:02:38,520 Speaker 2: feminist conversation about beer making forward. Play some of this audio, guys, 55 00:02:38,680 --> 00:02:39,040 Speaker 2: here's a. 56 00:02:39,040 --> 00:02:41,920 Speaker 6: Little known fact. Women were among the very first to 57 00:02:42,000 --> 00:02:45,680 Speaker 6: brew beer ever, from Mesopotamia to the Middle Ages to 58 00:02:45,720 --> 00:02:50,080 Speaker 6: colonial America. Women were the ones doing the brewing centuries later. 59 00:02:50,240 --> 00:02:52,799 Speaker 6: How did the industry pay homage to the founding mothers 60 00:02:52,800 --> 00:02:53,160 Speaker 6: of beer? 61 00:02:53,720 --> 00:02:55,560 Speaker 7: They put us in bikinis. 62 00:02:56,639 --> 00:02:59,280 Speaker 6: Wow, it's time beer made it up to women. So 63 00:02:59,360 --> 00:03:01,160 Speaker 6: today miller Light is on a mission to clean up 64 00:03:01,200 --> 00:03:02,560 Speaker 6: not just there's. 65 00:03:02,000 --> 00:03:03,120 Speaker 8: The whole beer industries. 66 00:03:04,560 --> 00:03:07,040 Speaker 6: Miller Light has been scarrying the Internet for all this 67 00:03:07,400 --> 00:03:09,120 Speaker 6: and buying it back so that you can turn it 68 00:03:09,160 --> 00:03:12,680 Speaker 6: into goods for women brewers. But there's definitely more shed 69 00:03:12,760 --> 00:03:15,480 Speaker 6: out there in your attic in the garage in your parents' basement, 70 00:03:15,760 --> 00:03:17,919 Speaker 6: Send any you got into Miller Lighte and they'll turn 71 00:03:18,000 --> 00:03:22,359 Speaker 6: that into good too. So here's to women, because without us, 72 00:03:22,560 --> 00:03:24,320 Speaker 6: there would be no beer. 73 00:03:25,320 --> 00:03:27,679 Speaker 2: Yeah, there also would be no humanity or existence. We 74 00:03:27,760 --> 00:03:30,440 Speaker 2: all get that. We're all very pro women here. This 75 00:03:30,520 --> 00:03:32,359 Speaker 2: is this is utterly bizarre. 76 00:03:32,960 --> 00:03:34,200 Speaker 5: And also this this. 77 00:03:34,200 --> 00:03:36,680 Speaker 2: Game that that we're all going to play. Now, you 78 00:03:36,720 --> 00:03:41,880 Speaker 2: know what the most consistent privilege across all cultures, across 79 00:03:42,000 --> 00:03:45,880 Speaker 2: all societies, all races, all religions, all periods in history. 80 00:03:46,280 --> 00:03:49,720 Speaker 2: You know what the real privilege is, Clay good looking people. Now, 81 00:03:49,840 --> 00:03:51,640 Speaker 2: Clay is shaking his head. He's like, yeah, I know 82 00:03:51,760 --> 00:03:53,880 Speaker 2: it's a big it's a big challenge for the very 83 00:03:53,880 --> 00:03:56,480 Speaker 2: good look at folks. But I'm just I'm just telling you, 84 00:03:56,960 --> 00:03:59,920 Speaker 2: pretty people, privilege as it is known, that is real, 85 00:04:00,120 --> 00:04:01,760 Speaker 2: and you know, it's just the way that it is. 86 00:04:02,280 --> 00:04:04,680 Speaker 2: And this notion that you know, we're not using bikinis 87 00:04:04,680 --> 00:04:07,600 Speaker 2: to sell beer anymore, it's like, what are you using 88 00:04:07,640 --> 00:04:10,440 Speaker 2: to sell beer these days? Because the whole guy dressed 89 00:04:10,480 --> 00:04:12,880 Speaker 2: as a girl thing didn't work out very well. 90 00:04:13,440 --> 00:04:15,680 Speaker 4: So for people out there who haven't seen this video, 91 00:04:16,040 --> 00:04:20,880 Speaker 4: this is a woman walking through a factory floor like 92 00:04:20,920 --> 00:04:22,320 Speaker 4: a beer universe. 93 00:04:22,440 --> 00:04:23,720 Speaker 5: I don't know brewery. 94 00:04:23,839 --> 00:04:26,440 Speaker 4: I'm not sure exactly what it's supposed to be. And 95 00:04:26,520 --> 00:04:30,880 Speaker 4: behind her there's all these photos of old Miller Light 96 00:04:30,960 --> 00:04:34,640 Speaker 4: ads with girls in bikinis. So, first of all, if 97 00:04:34,680 --> 00:04:37,719 Speaker 4: you want to talk, everybody wants to talk about privilege 98 00:04:37,720 --> 00:04:44,200 Speaker 4: these days. The apex of privilege is hot girl privilege. 99 00:04:44,760 --> 00:04:48,679 Speaker 4: If you are an incredibly good looking woman, you get 100 00:04:48,760 --> 00:04:52,160 Speaker 4: more privileged than anyone who has ever existed in the 101 00:04:52,200 --> 00:04:57,560 Speaker 4: history of mankind. And everybody out there listening knows that 102 00:04:57,640 --> 00:04:59,719 Speaker 4: this goes on all the time. 103 00:05:00,040 --> 00:05:03,000 Speaker 5: Back in the day, there used to be a Seinfeld 104 00:05:03,080 --> 00:05:03,640 Speaker 5: is a great show. 105 00:05:03,720 --> 00:05:07,200 Speaker 4: Right, Seinfeld was dating a really good looking woman and 106 00:05:07,800 --> 00:05:10,720 Speaker 4: he basically made this argument she could do anything that 107 00:05:10,760 --> 00:05:14,920 Speaker 4: she wanted. Really good looking women can get away with anything. 108 00:05:14,960 --> 00:05:17,919 Speaker 4: So if you really wanted to go and address the 109 00:05:18,000 --> 00:05:22,599 Speaker 4: privilege hierarchy, this is the apex. Okay, I also don't 110 00:05:22,720 --> 00:05:27,360 Speaker 4: understand if you are Miller Lite and you are looking 111 00:05:27,440 --> 00:05:30,160 Speaker 4: around at everything that's going on with bud Light and 112 00:05:30,240 --> 00:05:34,839 Speaker 4: you have legitimately buck seen your overall brand scales sales. 113 00:05:34,880 --> 00:05:38,200 Speaker 4: This was in the Wall Street Journal, skyrocket by twenty percent. 114 00:05:39,120 --> 00:05:44,039 Speaker 4: Why in the world, would you decide that you were 115 00:05:44,200 --> 00:05:49,359 Speaker 4: going to do anything to help light yourself on fire 116 00:05:49,880 --> 00:05:53,680 Speaker 4: in the same method, magnitude or process by which bud 117 00:05:53,760 --> 00:05:56,239 Speaker 4: Light has done this. And I think the only answer 118 00:05:56,360 --> 00:05:59,440 Speaker 4: is because when this is also funny, this would be 119 00:05:59,480 --> 00:06:03,200 Speaker 4: a funny year than this ridiculous miller lte Ad would 120 00:06:03,279 --> 00:06:06,239 Speaker 4: be the guy who was sitting in the marketing room 121 00:06:06,560 --> 00:06:10,279 Speaker 4: when they played this ad, who one hundred percent knew 122 00:06:10,640 --> 00:06:13,920 Speaker 4: that this ad was a disaster, but was afraid he'd 123 00:06:13,920 --> 00:06:17,400 Speaker 4: be called a misogynist if he said, Hey, I don't 124 00:06:17,400 --> 00:06:21,160 Speaker 4: think we should repudiate our ads featuring women in bikinis. 125 00:06:21,160 --> 00:06:23,280 Speaker 4: And this also ties in can we pull back up 126 00:06:23,279 --> 00:06:27,800 Speaker 4: the Tutor Dixon clip that we played on Thursday. I 127 00:06:27,960 --> 00:06:31,400 Speaker 4: own a beer Grottis Beer located in Tennessee. We got 128 00:06:31,400 --> 00:06:33,280 Speaker 4: a beer company. We're having fun with it. It's just 129 00:06:33,320 --> 00:06:36,240 Speaker 4: in Tennessee. I'd encourage you to drink it. If I 130 00:06:36,320 --> 00:06:39,240 Speaker 4: owned a big national beer company right now, I would 131 00:06:39,320 --> 00:06:45,640 Speaker 4: go so aggressively into girls in bikinis, parties, football having 132 00:06:45,640 --> 00:06:48,720 Speaker 4: an amazing time, which was the number one way we 133 00:06:48,760 --> 00:06:52,240 Speaker 4: sold beer up until like seven years ago, and my 134 00:06:52,360 --> 00:06:56,400 Speaker 4: beer sales would skyrocket because the overwhelming majority of my 135 00:06:56,600 --> 00:06:59,880 Speaker 4: beer drinkers like pretty girls, football and. 136 00:06:59,839 --> 00:07:02,799 Speaker 5: Having a good time. This is not rocket science. 137 00:07:02,880 --> 00:07:05,520 Speaker 4: Okay, The number of women out there who are offended 138 00:07:05,920 --> 00:07:10,280 Speaker 4: because girls in bikinis help to sell beer is virtually zero. 139 00:07:10,360 --> 00:07:13,200 Speaker 4: There's people who claim that they're offended, but the actual 140 00:07:13,280 --> 00:07:15,200 Speaker 4: number of people who are offended by this zero. 141 00:07:15,840 --> 00:07:19,480 Speaker 2: I mean, look at we're in the news business right basically, 142 00:07:19,640 --> 00:07:22,360 Speaker 2: and you look at you look on TV. Now, yes, 143 00:07:22,440 --> 00:07:26,760 Speaker 2: it's not a modeling competition, but it's obviously an advantage 144 00:07:26,800 --> 00:07:29,400 Speaker 2: for men and for women. I mean you'll notice, like 145 00:07:29,480 --> 00:07:32,080 Speaker 2: even the mail anchors are you know, they tend to 146 00:07:32,160 --> 00:07:34,520 Speaker 2: choose for handsomeness at some level. This is just a 147 00:07:34,600 --> 00:07:38,520 Speaker 2: basic reality of marketing that we're all aware of now 148 00:07:38,960 --> 00:07:41,440 Speaker 2: are There can be things can go too far, there 149 00:07:41,440 --> 00:07:44,400 Speaker 2: can be things in bad taste. But what's really interesting 150 00:07:44,520 --> 00:07:49,360 Speaker 2: is that they've clearly decided that the beer industry, as 151 00:07:49,760 --> 00:07:54,960 Speaker 2: partying football and babes is something that they're ashamed of. 152 00:07:55,240 --> 00:07:58,360 Speaker 2: And I mean the people who work in marketing in 153 00:07:58,440 --> 00:08:00,920 Speaker 2: the beer industry, right, that's what this ad is really 154 00:08:00,960 --> 00:08:03,120 Speaker 2: all about. It's like, I can't believe this is how 155 00:08:03,160 --> 00:08:06,080 Speaker 2: we used to sell stuff. It's like well, ultimately you're 156 00:08:06,080 --> 00:08:08,760 Speaker 2: talking about beer. I mean, I know people in this 157 00:08:09,040 --> 00:08:10,920 Speaker 2: We got all the emails that you could tell the 158 00:08:10,920 --> 00:08:14,960 Speaker 2: difference between you know, Mulson and Cores and Miller and 159 00:08:15,080 --> 00:08:17,160 Speaker 2: Sam Adams. I mean, I have no idea. 160 00:08:17,320 --> 00:08:20,200 Speaker 4: Okay, I will say, like hire in beer, Like okay, 161 00:08:20,240 --> 00:08:22,640 Speaker 4: there's a difference between Guinness and Bud Light, right, I 162 00:08:22,680 --> 00:08:24,440 Speaker 4: could tell that's between those every day. 163 00:08:24,560 --> 00:08:26,239 Speaker 5: There's not much difference between. 164 00:08:26,280 --> 00:08:29,280 Speaker 4: I'm gonna go to the war on this buck everybody 165 00:08:29,280 --> 00:08:31,880 Speaker 4: out there being like, you give me a blind taste test, 166 00:08:31,960 --> 00:08:33,680 Speaker 4: and I can tell you what a Miller light is 167 00:08:33,800 --> 00:08:36,080 Speaker 4: versus a Cores light versus Bud Light. I give you 168 00:08:36,160 --> 00:08:39,040 Speaker 4: nachos and a hot dog, and you eat those first, 169 00:08:39,120 --> 00:08:41,600 Speaker 4: and then you start to take a drip sip of beer. 170 00:08:41,679 --> 00:08:42,600 Speaker 5: You can't tell the difference. 171 00:08:42,840 --> 00:08:46,320 Speaker 2: My point here just being that it is obviously a 172 00:08:46,360 --> 00:08:48,800 Speaker 2: big part of it is marketing, right, This is it's 173 00:08:48,840 --> 00:08:51,960 Speaker 2: the perception of the brand. What does this brand represent 174 00:08:52,040 --> 00:08:55,440 Speaker 2: for you? What does this brand represent overall? That's true 175 00:08:55,480 --> 00:08:58,440 Speaker 2: in beer, It's true in you know, chocolate bars and 176 00:08:58,520 --> 00:09:00,320 Speaker 2: cars and you name it, right, we all all know 177 00:09:00,360 --> 00:09:04,240 Speaker 2: this stuff. Marketing one oh one, Tutor Dixon, you mentioned her. 178 00:09:04,320 --> 00:09:07,439 Speaker 2: We have it now here she is you ran for governor. 179 00:09:07,520 --> 00:09:09,760 Speaker 2: Now she's on the klan Buck podcast, which is a 180 00:09:09,960 --> 00:09:12,600 Speaker 2: phenomenal podcast stream you should all subscribe to on the 181 00:09:12,640 --> 00:09:15,360 Speaker 2: iHeart app. But anyway, here she is saying, you know, 182 00:09:15,480 --> 00:09:17,600 Speaker 2: beer in bikinis not a bad combo from. 183 00:09:17,480 --> 00:09:20,800 Speaker 3: A marketing's perspective, I think it's very clear that those 184 00:09:20,800 --> 00:09:23,280 Speaker 3: were not their buyers. So now they know that the 185 00:09:23,440 --> 00:09:26,800 Speaker 3: trans community was not their main source of revenue, you 186 00:09:26,880 --> 00:09:29,440 Speaker 3: have got to look at that. I'm telling you my 187 00:09:29,559 --> 00:09:32,480 Speaker 3: marketing strategy for them will work. Go back to chicks 188 00:09:32,480 --> 00:09:36,079 Speaker 3: and bikinis with a car wash, drinking bud light, you're 189 00:09:36,120 --> 00:09:37,319 Speaker 3: gonna sell a lot. 190 00:09:38,000 --> 00:09:40,880 Speaker 2: True, I mean the you know the association. Also, this 191 00:09:40,960 --> 00:09:43,599 Speaker 2: is true for wine drinkers. And now I'm starting to 192 00:09:43,640 --> 00:09:45,280 Speaker 2: sound like I sit around with a top hat in 193 00:09:45,320 --> 00:09:45,840 Speaker 2: a monocle. 194 00:09:45,880 --> 00:09:46,680 Speaker 5: I don't drink. 195 00:09:46,480 --> 00:09:49,880 Speaker 2: Beer, but I drink a little bit of wine. But 196 00:09:49,960 --> 00:09:53,040 Speaker 2: I've dressed like mister peanut when I drink my wine. 197 00:09:53,040 --> 00:09:55,200 Speaker 2: Apparently I've got like a little cane, little top hat. 198 00:09:55,440 --> 00:09:59,400 Speaker 2: But they've they've done studies to show this is sounding 199 00:09:59,400 --> 00:10:03,000 Speaker 2: really nerdy talking about alcohol, but that people's belief that 200 00:10:03,040 --> 00:10:06,160 Speaker 2: what they're drinking is really good, meaning really really excellent 201 00:10:06,240 --> 00:10:09,560 Speaker 2: vintage does enhance the pleasure they get from drinking it, 202 00:10:09,640 --> 00:10:13,679 Speaker 2: So the perception can drive some of the pleasurable brain 203 00:10:13,800 --> 00:10:16,880 Speaker 2: signal reality of it. And so the whole point here 204 00:10:16,880 --> 00:10:19,640 Speaker 2: for Miller and bought it everything because someone they crack 205 00:10:19,720 --> 00:10:23,280 Speaker 2: it open, relaxing partying. I mean this is just in 206 00:10:23,320 --> 00:10:27,239 Speaker 2: all the marketing, and if the association is beautiful women partying, 207 00:10:27,400 --> 00:10:30,840 Speaker 2: sunny place, good day, that can affect the way the 208 00:10:30,880 --> 00:10:33,200 Speaker 2: beer actually tastes to the person. As crazy as to 209 00:10:33,200 --> 00:10:34,559 Speaker 2: some as that may sound. 210 00:10:34,800 --> 00:10:38,480 Speaker 4: Most of life is aspirational and most of marketing is 211 00:10:38,559 --> 00:10:42,600 Speaker 4: making people aspire to be in better places than they 212 00:10:42,640 --> 00:10:46,720 Speaker 4: are right now. Most beer drinking, let's be honest, is 213 00:10:47,080 --> 00:10:50,280 Speaker 4: by men by themselves in their house. 214 00:10:50,800 --> 00:10:50,959 Speaker 5: Right. 215 00:10:51,360 --> 00:10:54,199 Speaker 4: I think that's the number one way I would imagine 216 00:10:54,200 --> 00:10:58,320 Speaker 4: that beer is consumed on average in America. Is a 217 00:10:58,400 --> 00:11:01,960 Speaker 4: guy who's fifty years old drinks a beer by himself 218 00:11:02,000 --> 00:11:05,319 Speaker 4: in his house. The way they sell beer is, oh, 219 00:11:05,360 --> 00:11:08,040 Speaker 4: you're gonna be at the super Bowl and you're gonna 220 00:11:08,080 --> 00:11:12,200 Speaker 4: be hanging out with a Victoria's Secret supermodel. Back when 221 00:11:12,240 --> 00:11:14,959 Speaker 4: the super Victoria's Secret Supermodels. Actually we're good looking and 222 00:11:15,040 --> 00:11:18,040 Speaker 4: not just fat chicks. And you're gonna be hanging out 223 00:11:18,080 --> 00:11:21,760 Speaker 4: with all your best buddies high fiving. Your team's gonna win. 224 00:11:22,520 --> 00:11:25,200 Speaker 4: And the reality is you're probably watching your team lose 225 00:11:25,600 --> 00:11:31,199 Speaker 4: from your from your house by yourself, and and and 226 00:11:31,360 --> 00:11:34,760 Speaker 4: that's the reality. But the aspirational aspects of it are good. 227 00:11:34,760 --> 00:11:37,320 Speaker 4: And here's the challenge. And I think about this a 228 00:11:37,360 --> 00:11:40,640 Speaker 4: lot because I could see this tying in with why 229 00:11:40,760 --> 00:11:45,400 Speaker 4: Vice has gone bankrupt and why BuzzFeed has collapsed. Buck 230 00:11:45,960 --> 00:11:50,920 Speaker 4: these marketing people that all these big brands hire, they 231 00:11:50,960 --> 00:11:54,120 Speaker 4: live in New York and LA. They never drink beer, 232 00:11:54,320 --> 00:11:57,960 Speaker 4: they certainly never drink light beer. And they go out 233 00:11:58,040 --> 00:12:00,760 Speaker 4: and they talk to their friends and it's some you know, 234 00:12:00,920 --> 00:12:05,280 Speaker 4: Harvard mba who's thirty seven years old, a woman, and 235 00:12:05,320 --> 00:12:08,760 Speaker 4: she's like, hey, what would make you drink Miller Lite 236 00:12:08,880 --> 00:12:11,640 Speaker 4: or bud Light even though her friends never drink it 237 00:12:11,679 --> 00:12:14,880 Speaker 4: now and they sit around and they're drinking wine and 238 00:12:14,920 --> 00:12:19,240 Speaker 4: they say, well, you know, if they were just less misogynistic, maybe, 239 00:12:19,320 --> 00:12:21,880 Speaker 4: And the answer is no, You're never gonna walk up 240 00:12:21,920 --> 00:12:25,760 Speaker 4: to a bar if you are a thirty seven year 241 00:12:25,800 --> 00:12:30,360 Speaker 4: old graduate degree woman by and large and be like Hey, 242 00:12:30,400 --> 00:12:31,200 Speaker 4: I'll have a Miller lit. 243 00:12:31,480 --> 00:12:32,880 Speaker 5: You just aren't gonna do that. You're not going to 244 00:12:32,960 --> 00:12:33,640 Speaker 5: order a bud Light. 245 00:12:34,280 --> 00:12:37,480 Speaker 4: But they convince themselves that if they run a marketing 246 00:12:37,559 --> 00:12:41,400 Speaker 4: campaign to appeal to the people in their social circles, 247 00:12:41,600 --> 00:12:44,320 Speaker 4: that it will somehow work, when the reality is, it's 248 00:12:44,360 --> 00:12:47,680 Speaker 4: some dude in the Midwest who loves Ohio State, it's 249 00:12:47,720 --> 00:12:51,200 Speaker 4: some guy in Alabama who loves Auburn and they sit 250 00:12:51,280 --> 00:12:54,040 Speaker 4: around and they drink light beer, and they like football, 251 00:12:54,160 --> 00:12:57,480 Speaker 4: and guess what they like good looking girls. That's the base. 252 00:12:57,880 --> 00:13:01,560 Speaker 4: Don't try and change your brand. You are destroying what 253 00:13:01,720 --> 00:13:05,120 Speaker 4: major brand exists in the first place by hiring these people. 254 00:13:05,160 --> 00:13:07,520 Speaker 4: And yet they do it over and over and over again. 255 00:13:07,559 --> 00:13:09,640 Speaker 9: Brad Steltz would like to go out the record that 256 00:13:09,720 --> 00:13:15,320 Speaker 9: Clay is both man splating and beer splaining, and Stelter 257 00:13:15,559 --> 00:13:19,400 Speaker 9: is literally shaking right now, literally shaking right now. 258 00:13:19,440 --> 00:13:21,840 Speaker 2: So I just want everyone to know the beer splitting 259 00:13:21,880 --> 00:13:26,400 Speaker 2: and man splating has not gone unnoticed by the MSM 260 00:13:26,440 --> 00:13:26,920 Speaker 2: out there. 261 00:13:27,760 --> 00:13:31,000 Speaker 1: You can handle the truth more. Clay Travis and Buck 262 00:13:31,080 --> 00:13:32,160 Speaker 1: Sexton coming up. 263 00:13:39,360 --> 00:13:43,000 Speaker 10: I'm grateful for Ireland's partnership and delivering the game change. 264 00:13:43,000 --> 00:13:46,839 Speaker 10: This game change international agreement. Similarly, the deep connection is 265 00:13:46,840 --> 00:13:50,120 Speaker 10: always this between our people and the land has translated 266 00:13:50,120 --> 00:13:53,080 Speaker 10: into a commitment to fight climate crisis, to preserve our 267 00:13:53,120 --> 00:13:56,680 Speaker 10: planet for future generations. A single existential threat to the 268 00:13:56,679 --> 00:14:00,000 Speaker 10: world is climate change. We don't have a lot of time, 269 00:14:00,440 --> 00:14:04,760 Speaker 10: and that's a fact. Or even recognizing finally, everyone's recognizing America. 270 00:14:04,880 --> 00:14:08,160 Speaker 10: I've flown over more territory in the United States since 271 00:14:08,160 --> 00:14:11,000 Speaker 10: I've been president. A helicopter has been burned the ground 272 00:14:11,320 --> 00:14:14,520 Speaker 10: and comprises the entire state of Maryland. 273 00:14:16,840 --> 00:14:18,760 Speaker 5: That's a weird fact. 274 00:14:18,960 --> 00:14:22,440 Speaker 4: With Klay, Travis buck Sexton, Joe Biden addressing the media 275 00:14:22,480 --> 00:14:25,880 Speaker 4: about the existential threat as it's always called of climate change, 276 00:14:26,520 --> 00:14:30,360 Speaker 4: and Buck, I have trouble even focusing on what Biden 277 00:14:30,640 --> 00:14:35,920 Speaker 4: is saying because his speech feels to me so strained, 278 00:14:36,200 --> 00:14:38,080 Speaker 4: even in terms of the way he sounds, you know 279 00:14:38,120 --> 00:14:39,920 Speaker 4: what I'm talking about. It's like he's sucking on his 280 00:14:40,080 --> 00:14:45,160 Speaker 4: teeth and trying his best and so aggressively to even 281 00:14:45,240 --> 00:14:48,320 Speaker 4: read what's been written on the teleprompter that he has 282 00:14:48,320 --> 00:14:50,040 Speaker 4: almost no idea what he's even saying. 283 00:14:50,240 --> 00:14:56,360 Speaker 2: I also am I'm mad and disgusted that Democrats have 284 00:14:56,480 --> 00:14:58,240 Speaker 2: put us in this position. I don't want to sit 285 00:14:58,240 --> 00:15:00,160 Speaker 2: here and make fun of a really old man for 286 00:15:00,200 --> 00:15:02,800 Speaker 2: being old, or even have to talk about it. But 287 00:15:02,880 --> 00:15:04,960 Speaker 2: he's the president, he's the commander in chief, he's got 288 00:15:04,960 --> 00:15:06,960 Speaker 2: the nuclear because we have no choice, right, this is 289 00:15:07,000 --> 00:15:09,600 Speaker 2: what they have. This is the hand we the American people, 290 00:15:09,680 --> 00:15:14,320 Speaker 2: have been dealt that this guy, Joe Biden is the president. 291 00:15:14,720 --> 00:15:17,640 Speaker 2: But it just goes to I think a ruthlessness and 292 00:15:17,680 --> 00:15:20,800 Speaker 2: a recklessness that the Democrats have that they would put 293 00:15:20,880 --> 00:15:22,360 Speaker 2: us in the position where we've got to say, guys, 294 00:15:22,360 --> 00:15:25,840 Speaker 2: he's in the certainly the early maybe mid stages of dementia. 295 00:15:25,840 --> 00:15:29,080 Speaker 2: We can all see it. And then just also on 296 00:15:29,200 --> 00:15:34,640 Speaker 2: the climate change thing, of all of the Democrat obsessions, 297 00:15:35,880 --> 00:15:37,960 Speaker 2: you know, I actually asked carry this versu. I was curious, like, 298 00:15:38,000 --> 00:15:40,520 Speaker 2: when was the last time he came across somebody who's 299 00:15:40,600 --> 00:15:45,800 Speaker 2: talking about this, who you thought was really truly terrified 300 00:15:45,840 --> 00:15:48,560 Speaker 2: of climate change? And when you're talking about an existential threat, 301 00:15:49,000 --> 00:15:51,560 Speaker 2: you know, massive nuclear war with Russia, which you know, 302 00:15:51,640 --> 00:15:54,120 Speaker 2: something we should keep in mind. We don't want that. 303 00:15:54,120 --> 00:15:57,960 Speaker 2: That is an existential threat to humanity, no question about it. 304 00:15:58,080 --> 00:16:01,240 Speaker 2: One degree celsius rise in temperature maybe over the next 305 00:16:01,240 --> 00:16:05,280 Speaker 2: one hundred years is going to end humanity. This is lunacy, 306 00:16:05,280 --> 00:16:07,240 Speaker 2: Clay and the President of the United States says it 307 00:16:07,320 --> 00:16:10,440 Speaker 2: like it's some established fact that we can all agree on. 308 00:16:10,520 --> 00:16:12,840 Speaker 2: Existential means no longer existing. All of us are going 309 00:16:12,920 --> 00:16:14,480 Speaker 2: to die. The whole world's going to end. 310 00:16:14,640 --> 00:16:14,840 Speaker 8: Well. 311 00:16:14,880 --> 00:16:18,520 Speaker 4: And actually, if you look at the data, great cold 312 00:16:18,680 --> 00:16:22,840 Speaker 4: kills far more people than great heat. So even if 313 00:16:22,880 --> 00:16:26,960 Speaker 4: you look at people who are dying in climate related disasters, 314 00:16:27,520 --> 00:16:31,600 Speaker 4: the numbers are actually declining. So and look, if you 315 00:16:31,880 --> 00:16:37,840 Speaker 4: actually analyze historically the amount that temperatures have swung wildly 316 00:16:38,480 --> 00:16:41,400 Speaker 4: in the world and on our. 317 00:16:41,320 --> 00:16:44,320 Speaker 5: Globe, it's happened throughout human history. 318 00:16:44,400 --> 00:16:48,560 Speaker 4: So this is the one where I legitimately sit back 319 00:16:48,600 --> 00:16:52,720 Speaker 4: and say I have never lost a moment's sleep ever 320 00:16:52,800 --> 00:16:55,600 Speaker 4: being concerned about what's going to happen to the climate 321 00:16:55,720 --> 00:16:57,280 Speaker 4: zero zero my entire life. 322 00:16:57,320 --> 00:16:59,600 Speaker 2: You know, they can talk about like wealth inequality and 323 00:16:59,640 --> 00:17:01,440 Speaker 2: things like that, and I'll say, all right, they're using 324 00:17:01,440 --> 00:17:03,360 Speaker 2: it as a as an open door for socialism. 325 00:17:03,400 --> 00:17:04,600 Speaker 5: But that's a problem. 326 00:17:04,600 --> 00:17:07,400 Speaker 2: I can see. That's an issue. You know, this isn't 327 00:17:07,440 --> 00:17:09,880 Speaker 2: even an issue, but it's the biggest one we face. 328 00:17:09,960 --> 00:17:11,960 Speaker 2: Biden says in Ireland. 329 00:17:12,000 --> 00:17:16,320 Speaker 1: One truth revealed after another. Clay Travis and Buck Sexton. 330 00:17:24,440 --> 00:17:29,440 Speaker 2: We have with us right now, Senator Ran Paul. Senator Paul, 331 00:17:29,520 --> 00:17:31,800 Speaker 2: great to have you back with us, Sir, representing the 332 00:17:31,840 --> 00:17:34,320 Speaker 2: wonderful state of Kentucky. You want to talk to us 333 00:17:34,320 --> 00:17:38,200 Speaker 2: about AI. We haven't really gotten into it that much 334 00:17:38,200 --> 00:17:41,320 Speaker 2: on the program. Maybe we should more going forward. What 335 00:17:41,400 --> 00:17:44,240 Speaker 2: are the primary things that people all across the country 336 00:17:44,320 --> 00:17:48,040 Speaker 2: right now need to know when it comes to artificial intelligence, 337 00:17:48,240 --> 00:17:49,760 Speaker 2: and what are your concerns. 338 00:17:50,720 --> 00:17:53,080 Speaker 11: You know, our concern is that the government use a 339 00:17:53,160 --> 00:17:56,280 Speaker 11: tool like this to actually spy on its own citizens. 340 00:17:56,760 --> 00:17:59,000 Speaker 11: You know, when I first read nineteen eighty four when 341 00:17:59,040 --> 00:18:01,640 Speaker 11: I was a kid, I was concerned, but it really 342 00:18:01,680 --> 00:18:04,200 Speaker 11: wasn't alarmed because I said, Hey, government doesn't have two 343 00:18:04,240 --> 00:18:07,479 Speaker 11: way television screens. They can't surveil all of us all 344 00:18:07,520 --> 00:18:10,000 Speaker 11: the time because they don't have the technology. We now 345 00:18:10,080 --> 00:18:13,600 Speaker 11: have the technology, and the technology itself is not evil 346 00:18:13,680 --> 00:18:17,720 Speaker 11: or bad. Technology is neither technology is neutral, but it's 347 00:18:18,160 --> 00:18:21,000 Speaker 11: a technology that control through a great amount of information. 348 00:18:21,560 --> 00:18:25,040 Speaker 11: So if the government decides to use artificial intelligence on 349 00:18:25,240 --> 00:18:28,560 Speaker 11: Twitter or social media to look for certain phrases that 350 00:18:28,640 --> 00:18:33,159 Speaker 11: they find to be disinformation or the government doesn't like. 351 00:18:33,280 --> 00:18:36,440 Speaker 11: Let's say, for example, that I say COVID vaccines aren't 352 00:18:36,480 --> 00:18:39,800 Speaker 11: really necessary for children who've already had COVID. There's a 353 00:18:39,840 --> 00:18:41,840 Speaker 11: lot of scientific evidence to back that up, but it's 354 00:18:41,840 --> 00:18:44,439 Speaker 11: an opinion, and you can have an alternative opinion. But 355 00:18:44,480 --> 00:18:48,000 Speaker 11: what if those code words are put into an algorithm 356 00:18:48,280 --> 00:18:51,200 Speaker 11: artificial intelligence controls through the Internet, and then the government 357 00:18:51,240 --> 00:18:54,119 Speaker 11: takes down comments it doesn't like. That's a real First 358 00:18:54,119 --> 00:18:57,240 Speaker 11: Amendment problem. And so my point in the hearing today 359 00:18:57,280 --> 00:19:00,480 Speaker 11: on the Hill was that it's not just about regulating technology, 360 00:19:00,840 --> 00:19:04,439 Speaker 11: it's about saying you cannot use technology to limit speech 361 00:19:04,480 --> 00:19:06,119 Speaker 11: that is protected by the Constitution. 362 00:19:07,160 --> 00:19:11,199 Speaker 4: Senator, how transformative do you think AI is going to 363 00:19:11,359 --> 00:19:13,960 Speaker 4: be in all facets of life? And I asked this 364 00:19:14,080 --> 00:19:17,640 Speaker 4: question because it wasn't very long ago that Mark Zuckerberg 365 00:19:17,720 --> 00:19:19,800 Speaker 4: came out and he said, Hey, I'm changing the entire 366 00:19:20,200 --> 00:19:23,680 Speaker 4: name of Facebook to Meta because I believe this online 367 00:19:23,680 --> 00:19:26,960 Speaker 4: metaverse is going to be rapidly the future. I think 368 00:19:27,000 --> 00:19:29,280 Speaker 4: that has crumbled in the last year. You heard a 369 00:19:29,280 --> 00:19:33,560 Speaker 4: lot about meta based on what you are seeing associated 370 00:19:33,560 --> 00:19:36,800 Speaker 4: with AI. How transformative is it in the next four 371 00:19:36,880 --> 00:19:39,560 Speaker 4: or five years? How much different might our lives be 372 00:19:39,640 --> 00:19:43,520 Speaker 4: based on the growth and transformations effect of AI. 373 00:19:44,720 --> 00:19:46,639 Speaker 11: I think the first thing is is I do not 374 00:19:46,920 --> 00:19:51,239 Speaker 11: preach irrational fear of technology or of artificial intelligence. It 375 00:19:51,240 --> 00:19:53,639 Speaker 11: can be used for good, it can be used for harm. 376 00:19:53,680 --> 00:19:56,480 Speaker 11: There are many things where there's a great deal of information. 377 00:19:56,720 --> 00:19:59,400 Speaker 11: So we had one of our experts today, Jacob Siegel, 378 00:19:59,720 --> 00:20:02,879 Speaker 11: who I wrote a great essay on tablet that I recommend, 379 00:20:03,200 --> 00:20:05,320 Speaker 11: and he used to be an intelligence officer in the military, 380 00:20:05,359 --> 00:20:09,679 Speaker 11: and he says for foreign purposes, there's some usefulness to 381 00:20:09,720 --> 00:20:13,040 Speaker 11: taking artificial intelligence. If we've been eavesdropping on either phone 382 00:20:13,080 --> 00:20:16,840 Speaker 11: calls or communications, and we have large cases of information 383 00:20:16,960 --> 00:20:19,879 Speaker 11: on people who might be our enemies, artificial intelligence to 384 00:20:19,960 --> 00:20:22,840 Speaker 11: troll through that to find things is important. But it's 385 00:20:22,880 --> 00:20:26,399 Speaker 11: different if someone has a large database of Americans phone 386 00:20:26,440 --> 00:20:29,560 Speaker 11: calls and wants to troll through that. Because we have 387 00:20:29,680 --> 00:20:33,360 Speaker 11: First Amendment rights, we have Fourth Amendment rights. It's different 388 00:20:33,640 --> 00:20:36,960 Speaker 11: on where you apply it. So artificial intelligence applied to 389 00:20:37,000 --> 00:20:40,440 Speaker 11: coming through communications for intelligence of people who don't live 390 00:20:40,480 --> 00:20:43,000 Speaker 11: in the United States, I'm all for that. If you 391 00:20:43,000 --> 00:20:47,080 Speaker 11: want to troll through Americans conversations, I'm completely against it. 392 00:20:47,119 --> 00:20:48,439 Speaker 11: And you should have to go to a judge on 393 00:20:48,480 --> 00:20:51,440 Speaker 11: an individualized basis and ask for a warrant and present 394 00:20:51,520 --> 00:20:54,080 Speaker 11: probable calls why you want to listen to this information. 395 00:20:54,480 --> 00:20:55,320 Speaker 2: So it really is a. 396 00:20:55,280 --> 00:20:58,879 Speaker 11: Matter of obeying the Constitution that's important to me, not 397 00:20:59,000 --> 00:21:02,119 Speaker 11: the technology. As far as transformative, yeah, I think it 398 00:21:02,160 --> 00:21:03,960 Speaker 11: will be, but I think we don't have to have 399 00:21:04,119 --> 00:21:07,439 Speaker 11: undue fear of this. We just have to keep in perspective. 400 00:21:07,920 --> 00:21:09,800 Speaker 11: And this has been going on for a while, even 401 00:21:09,800 --> 00:21:11,919 Speaker 11: without AI, going all the way back to nine to eleven, 402 00:21:12,320 --> 00:21:14,919 Speaker 11: the Department of Homeland Security has been spuying on Americans. 403 00:21:15,000 --> 00:21:18,040 Speaker 11: People who are pro life, people are pro constitution, people 404 00:21:18,040 --> 00:21:21,320 Speaker 11: who support certain candidates, are part of a profile of 405 00:21:21,359 --> 00:21:24,920 Speaker 11: people that they talk about that they should have increase 406 00:21:25,040 --> 00:21:27,440 Speaker 11: or stepped up observation of these people. And I think 407 00:21:27,480 --> 00:21:30,800 Speaker 11: that's wrong. And so it's not just artificial intelligence. Really 408 00:21:30,840 --> 00:21:34,640 Speaker 11: it's about trying to say government should not be snooping 409 00:21:34,640 --> 00:21:35,400 Speaker 11: on Americans. 410 00:21:36,000 --> 00:21:39,159 Speaker 2: Speaking of Senator Ran Paul of Kentucky, Senator Paul, I 411 00:21:39,240 --> 00:21:42,639 Speaker 2: want to switch gears and get your take on just 412 00:21:43,080 --> 00:21:46,280 Speaker 2: not really so much the latest in Ukraine, but the 413 00:21:46,400 --> 00:21:49,920 Speaker 2: overall policy trajectory. I mean, in the last twenty four 414 00:21:49,920 --> 00:21:53,080 Speaker 2: hours there have been there's a major missile barrage of 415 00:21:53,160 --> 00:21:57,240 Speaker 2: Russian missiles fired at Ukraine, the Kiev, the capital city 416 00:21:57,240 --> 00:22:02,600 Speaker 2: of Ukraine. It feels like this just continues to drag on, escalate, 417 00:22:02,760 --> 00:22:05,480 Speaker 2: more casualties, more money. What do you make of the 418 00:22:05,520 --> 00:22:08,159 Speaker 2: policy right now that this country has towards Ukraine and 419 00:22:08,160 --> 00:22:09,760 Speaker 2: do you think that it could it could and should 420 00:22:09,800 --> 00:22:12,879 Speaker 2: be changed in twenty twenty four Well. 421 00:22:12,760 --> 00:22:16,640 Speaker 11: So far we've given about one hundred billion dollars to Ukraine, 422 00:22:17,240 --> 00:22:19,000 Speaker 11: money we don't have and has to be borrowed from 423 00:22:19,080 --> 00:22:22,359 Speaker 11: China to send to Ukraine. Now, as far as sympathies, sure, 424 00:22:22,359 --> 00:22:25,560 Speaker 11: my sympathies are with the underdog, with a country that's 425 00:22:25,600 --> 00:22:29,080 Speaker 11: been attacked with Ukraine. I think Putin made an unwise 426 00:22:29,119 --> 00:22:30,760 Speaker 11: decision or turn out to be one of the worst 427 00:22:30,760 --> 00:22:34,000 Speaker 11: decisions he's ever made, or any leader made, because he's 428 00:22:34,000 --> 00:22:36,840 Speaker 11: now trapped in a war he can't win. Likewise, I 429 00:22:36,840 --> 00:22:39,280 Speaker 11: don't think Ukraine can win either, and I don't think 430 00:22:39,320 --> 00:22:41,879 Speaker 11: we should be for sending unlimited money that we don't have, 431 00:22:41,960 --> 00:22:44,520 Speaker 11: that we have to borrow to send to them. I 432 00:22:44,520 --> 00:22:47,879 Speaker 11: think the longer the money stick it stays open, the 433 00:22:47,920 --> 00:22:50,760 Speaker 11: longer the war continues, and really there have to be 434 00:22:50,800 --> 00:22:53,760 Speaker 11: some realistic limits. There needs to be a negotiated solution 435 00:22:53,960 --> 00:22:57,800 Speaker 11: because neither side is going to win and outright unconditional 436 00:22:57,800 --> 00:23:00,919 Speaker 11: surrender from the other. And so one, we don't have 437 00:23:00,960 --> 00:23:03,080 Speaker 11: the money, but two, I think more lives will be 438 00:23:03,119 --> 00:23:05,720 Speaker 11: lost in the country, will be further destroyed if the 439 00:23:05,720 --> 00:23:06,680 Speaker 11: war continues on. 440 00:23:06,760 --> 00:23:10,320 Speaker 4: The year after a year, Senator, I know a lot 441 00:23:10,320 --> 00:23:14,240 Speaker 4: of the German report findings had been widely discussed, certainly 442 00:23:14,280 --> 00:23:17,120 Speaker 4: on this program and many others over the years. 443 00:23:17,560 --> 00:23:21,560 Speaker 5: You've run for president before. How do we fix the FBI? 444 00:23:22,160 --> 00:23:25,440 Speaker 4: What do we need to do to make it actually 445 00:23:25,560 --> 00:23:28,040 Speaker 4: a trustworthy governmental institution? 446 00:23:28,200 --> 00:23:30,439 Speaker 5: Again? What would you do if you were tasked with 447 00:23:30,520 --> 00:23:31,560 Speaker 5: that responsibility? 448 00:23:32,480 --> 00:23:35,439 Speaker 11: The number one most important thing is we should not 449 00:23:35,560 --> 00:23:39,760 Speaker 11: be allowed to spy on Americans or invade Americans privacy 450 00:23:39,880 --> 00:23:43,840 Speaker 11: without an order from a judge, from an Article three judge. 451 00:23:44,200 --> 00:23:47,439 Speaker 11: What happened to the Trump campaign was that the FBI 452 00:23:47,560 --> 00:23:52,280 Speaker 11: went after them using Foreign Intelligence Surveillance Court orders. So 453 00:23:52,359 --> 00:23:54,879 Speaker 11: this court was set up in the nineteen seventies to 454 00:23:54,880 --> 00:23:58,960 Speaker 11: go after foreigners, that's the name Foreign Intelligent Surveillance, and 455 00:23:59,119 --> 00:24:01,919 Speaker 11: instead of being used against Americans. I have a simple 456 00:24:01,960 --> 00:24:05,399 Speaker 11: amendment to FIZA and it simply says FIZA can't be 457 00:24:05,480 --> 00:24:07,760 Speaker 11: used on Americans. And people say, well, what if the 458 00:24:07,800 --> 00:24:10,960 Speaker 11: American is a terrorist, go to a judge. I don't 459 00:24:11,000 --> 00:24:12,840 Speaker 11: know a judge in America that won't give you a 460 00:24:12,880 --> 00:24:16,200 Speaker 11: warrant if you come with evidence that somebody is colluding 461 00:24:16,320 --> 00:24:18,879 Speaker 11: with some foreign power to be a terrorist in this country. 462 00:24:19,480 --> 00:24:21,600 Speaker 11: Most of nine to eleven, most of the information we 463 00:24:21,680 --> 00:24:26,080 Speaker 11: had was not divulged, not for a denial of a warrant. 464 00:24:26,480 --> 00:24:28,720 Speaker 11: They never asked for a warrant. So after nine to 465 00:24:28,720 --> 00:24:30,119 Speaker 11: eleven they came to us and said, oh, we need 466 00:24:30,160 --> 00:24:32,520 Speaker 11: all this extra power because we need to be able 467 00:24:32,520 --> 00:24:34,240 Speaker 11: to get people who are in the country, like the 468 00:24:34,320 --> 00:24:37,679 Speaker 11: hijackers that were here. Nobody asked for a warrant on 469 00:24:37,760 --> 00:24:40,320 Speaker 11: any of the potential hijackers. We knew who some of 470 00:24:40,359 --> 00:24:43,040 Speaker 11: them were, but nobody ever asked for a warrant from 471 00:24:43,040 --> 00:24:45,399 Speaker 11: a judge that was turned down. So we have the 472 00:24:45,480 --> 00:24:47,639 Speaker 11: tools and the ability to do this by the constitution. 473 00:24:48,160 --> 00:24:51,119 Speaker 11: The FBI wouldn't have all these abuses if they weren't 474 00:24:51,119 --> 00:24:54,160 Speaker 11: allowed to use FIES on Americans. So the Foreign Intelligence 475 00:24:54,200 --> 00:24:58,120 Speaker 11: Surveillance Court should be precluded from and only used for foreigners, 476 00:24:58,200 --> 00:24:59,119 Speaker 11: not on Americans. 477 00:25:00,000 --> 00:25:03,399 Speaker 2: And Senator Paul one more for you, the oh Clay 478 00:25:03,440 --> 00:25:05,399 Speaker 2: has go ahead? Clay, you wanted to go again? 479 00:25:05,520 --> 00:25:07,800 Speaker 4: Well, no, I was just gonna you ask your question 480 00:25:07,840 --> 00:25:09,280 Speaker 4: that I'm going to ask him. We've got a primary 481 00:25:09,359 --> 00:25:11,040 Speaker 4: going on in Kentucky. I want to make sure we 482 00:25:11,160 --> 00:25:15,119 Speaker 4: encourage people to go vote and why that's important. 483 00:25:14,280 --> 00:25:14,800 Speaker 5: That I like you? 484 00:25:15,040 --> 00:25:16,960 Speaker 2: No, no, no, I like your question more, Clay. 485 00:25:17,040 --> 00:25:20,560 Speaker 4: Oh, go please, Senator Paul, you're in Kentucky right now. 486 00:25:20,800 --> 00:25:23,639 Speaker 4: Obviously a lot of our Kentucky listeners, there is a 487 00:25:23,680 --> 00:25:26,720 Speaker 4: primary to select the nominee to take on the governor. 488 00:25:26,800 --> 00:25:30,760 Speaker 4: It's a Democrat governor. You lived through what Governor Basher 489 00:25:30,920 --> 00:25:34,440 Speaker 4: did associated with COVID. He got almost everything wrong. How 490 00:25:34,480 --> 00:25:36,720 Speaker 4: important is it that all of our listeners out in 491 00:25:36,800 --> 00:25:41,679 Speaker 4: Kentucky go and select a nominee today, but then also 492 00:25:42,600 --> 00:25:46,040 Speaker 4: zealously support that nominee up into the election in November. 493 00:25:47,200 --> 00:25:49,520 Speaker 11: Yeah. I think we have several good candidates. I haven't 494 00:25:49,600 --> 00:25:51,800 Speaker 11: endorsed in the primary, but I will endorse the winner 495 00:25:51,840 --> 00:25:55,719 Speaker 11: of the primary today. I also think that the election 496 00:25:55,840 --> 00:25:59,040 Speaker 11: in the fall will be closer than many things Kentucky's 497 00:25:59,040 --> 00:26:01,520 Speaker 11: the state that's been leaning Republican for quite a while. 498 00:26:02,040 --> 00:26:04,360 Speaker 11: But the race will be a fifty to fifty race 499 00:26:04,400 --> 00:26:07,120 Speaker 11: in the fall. But the job of the Republican nominee 500 00:26:07,119 --> 00:26:10,880 Speaker 11: will be to remind Kentuckians that this governor actually shut 501 00:26:10,920 --> 00:26:15,360 Speaker 11: down churches on Easter and sent the state government agents 502 00:26:15,560 --> 00:26:18,119 Speaker 11: to take down license plates of people going to church. 503 00:26:18,560 --> 00:26:21,920 Speaker 11: This governor for bid travel, this governor for bid going 504 00:26:21,960 --> 00:26:25,320 Speaker 11: to school, and almost every one of this governor's emergency 505 00:26:25,520 --> 00:26:30,080 Speaker 11: edicts were later struck down by federal judges. So these 506 00:26:30,080 --> 00:26:32,600 Speaker 11: were big things that we're not going to forget very soon. 507 00:26:33,119 --> 00:26:36,280 Speaker 11: And whoever the nominee is, it's their job to remind 508 00:26:36,320 --> 00:26:40,400 Speaker 11: the voters and remind people of Kentucky of the authoritarian impulse, 509 00:26:40,440 --> 00:26:44,080 Speaker 11: of the authoritarian actions of this governor, because what happened 510 00:26:44,160 --> 00:26:46,359 Speaker 11: under COVID should never ever happen again. 511 00:26:46,920 --> 00:26:49,920 Speaker 2: Senator, this is a perfect moment to let you take 512 00:26:49,920 --> 00:26:51,760 Speaker 2: a crack at our throwback clip. 513 00:26:51,800 --> 00:26:52,040 Speaker 8: Here. 514 00:26:52,119 --> 00:26:56,480 Speaker 2: This is Rachelle Wolenski. I think this is twenty twenty 515 00:26:57,359 --> 00:27:00,960 Speaker 2: two or maybe twenty fo yeah, twenty twenty two. He 516 00:27:01,040 --> 00:27:04,480 Speaker 2: or she is saying that masks are eighty percent effective 517 00:27:04,520 --> 00:27:04,879 Speaker 2: play it. 518 00:27:05,040 --> 00:27:08,320 Speaker 7: The evidence is clear mask can help prevent the spread 519 00:27:08,320 --> 00:27:11,360 Speaker 7: of COVID nineteen by reducing your chance of infection by 520 00:27:11,359 --> 00:27:15,120 Speaker 7: more than eighty percent, whether it's an infection from the flu, 521 00:27:15,359 --> 00:27:19,359 Speaker 7: from the coronavirus, or even just the common cold. In 522 00:27:19,400 --> 00:27:23,560 Speaker 7: combination with other steps like getting your vaccination, hand washing, 523 00:27:23,680 --> 00:27:27,320 Speaker 7: and keeping physical distance, wearing your mask is an important 524 00:27:27,359 --> 00:27:30,280 Speaker 7: step you can take to keep us all healthy. 525 00:27:30,720 --> 00:27:34,399 Speaker 2: Senator Paul, you're also you're also doctor Paul, And that 526 00:27:34,520 --> 00:27:38,480 Speaker 2: was November twenty twenty one. Eighty percent, they say stops 527 00:27:38,480 --> 00:27:39,760 Speaker 2: COVID by eighty percent. 528 00:27:41,320 --> 00:27:44,600 Speaker 11: Even Anthony Falci no longer believes this. He was interviewed 529 00:27:44,600 --> 00:27:47,080 Speaker 11: by The New York Times and an extensive piece about 530 00:27:47,080 --> 00:27:50,600 Speaker 11: a week or two ago, and Fauci's response was, well, mask, 531 00:27:50,760 --> 00:27:54,640 Speaker 11: you know, maybe ten percent effective on the margins if 532 00:27:54,640 --> 00:27:56,600 Speaker 11: you wear one of the really ad the effective ones. 533 00:27:56,960 --> 00:27:59,919 Speaker 11: So even Fuci admits they weren't working, even though he 534 00:28:00,160 --> 00:28:03,080 Speaker 11: plastering them all over his face. It was all theater. 535 00:28:03,280 --> 00:28:06,160 Speaker 11: It was all about submission, and really there's no good 536 00:28:06,200 --> 00:28:10,080 Speaker 11: scientific evidence. There's been a Cochran study, a multi variate 537 00:28:10,160 --> 00:28:12,720 Speaker 11: analysis of many different studies, and it came to the 538 00:28:12,720 --> 00:28:16,680 Speaker 11: conclusion no randomized control studies have shown that masked work 539 00:28:16,720 --> 00:28:19,159 Speaker 11: in the public setting, and so we were forced to 540 00:28:19,160 --> 00:28:24,560 Speaker 11: do things based on pseudoscience, based on Fauci's impulse to authoritarianism, 541 00:28:24,960 --> 00:28:27,320 Speaker 11: but there was no real evidence at mass work. The 542 00:28:27,359 --> 00:28:30,280 Speaker 11: mandates didn't work if you look with states and counties 543 00:28:30,320 --> 00:28:32,920 Speaker 11: that put the mandates on no relation to any reduction 544 00:28:33,000 --> 00:28:36,280 Speaker 11: and infection. Basically, they were dishonest with us. But this 545 00:28:36,480 --> 00:28:40,360 Speaker 11: is why trust and belief in public health officials as 546 00:28:40,400 --> 00:28:42,880 Speaker 11: an all time low. They brought it on themselves by 547 00:28:42,880 --> 00:28:44,240 Speaker 11: being dishonest with the public. 548 00:28:44,840 --> 00:28:47,120 Speaker 2: Senator Ran Paul always appreciate you, sir, thanks for being 549 00:28:47,120 --> 00:28:47,440 Speaker 2: with us. 550 00:28:48,240 --> 00:28:50,000 Speaker 11: Thanks guys. 551 00:28:50,000 --> 00:28:53,600 Speaker 1: More fun and conversation coming up from Claye Travis and 552 00:28:53,640 --> 00:28:54,360 Speaker 1: Buck Sexton. 553 00:29:01,880 --> 00:29:04,880 Speaker 4: Buck, I had a fun Well, it wasn't really that fun, 554 00:29:05,640 --> 00:29:09,080 Speaker 4: but it was an interesting interaction. I had two interesting 555 00:29:09,080 --> 00:29:12,840 Speaker 4: interactions right after I finished the show yesterday. Okay, interaction 556 00:29:13,000 --> 00:29:16,760 Speaker 4: number one. So I'm publishing this new book. It's coming 557 00:29:16,800 --> 00:29:18,960 Speaker 4: out in August, and I had a call with the 558 00:29:19,080 --> 00:29:21,479 Speaker 4: lawyer who had reviewed it to make sure whether there 559 00:29:21,480 --> 00:29:23,960 Speaker 4: are things that need to be changed for legal reasons whatever. 560 00:29:24,000 --> 00:29:26,680 Speaker 4: Nothing needs to be changed, but only like five or 561 00:29:26,680 --> 00:29:29,560 Speaker 4: six people have read my book, and so at the 562 00:29:29,640 --> 00:29:30,960 Speaker 4: end of the call, I was like, Hey, what did 563 00:29:31,000 --> 00:29:32,640 Speaker 4: you think of the book? And he was like, I 564 00:29:32,720 --> 00:29:36,120 Speaker 4: disagreed with all of it, and I. 565 00:29:36,120 --> 00:29:36,760 Speaker 5: Was just thinking. 566 00:29:37,200 --> 00:29:39,959 Speaker 4: I was just thinking for the lawyer who had to 567 00:29:40,000 --> 00:29:43,880 Speaker 4: review my entire book, and he hated every single argument 568 00:29:43,920 --> 00:29:45,320 Speaker 4: that I made the whole way through. 569 00:29:46,000 --> 00:29:47,480 Speaker 5: That's really kind of remarkable. 570 00:29:47,520 --> 00:29:51,440 Speaker 4: Second thing was I'm trying to get life insurance because 571 00:29:51,480 --> 00:29:54,120 Speaker 4: you know, I'm forty four now, I got young family 572 00:29:54,200 --> 00:29:57,320 Speaker 4: want to take care of him, whatever. So I've got 573 00:29:57,320 --> 00:29:58,640 Speaker 4: a medical exam that I have to do. 574 00:29:58,760 --> 00:30:01,080 Speaker 2: You got a little more as salt than and that beard, buddy, 575 00:30:01,080 --> 00:30:01,920 Speaker 2: I'm just saying it true. 576 00:30:02,120 --> 00:30:04,160 Speaker 4: I'm getting think about that the other day. I've never 577 00:30:04,240 --> 00:30:06,720 Speaker 4: dyed the beard, but I was actually trimming my beard 578 00:30:06,720 --> 00:30:10,120 Speaker 4: this morning. It's almost all white. My hair has not 579 00:30:10,200 --> 00:30:11,880 Speaker 4: gone white. But I'm gonna be like a little bit 580 00:30:11,920 --> 00:30:13,600 Speaker 4: of a weird dude because I'm gonna just have a 581 00:30:13,640 --> 00:30:16,360 Speaker 4: white beard and then still not white. Hey, I don't 582 00:30:16,360 --> 00:30:18,040 Speaker 4: know if anybody else has had this happen. It doesn't 583 00:30:18,040 --> 00:30:20,360 Speaker 4: make sense to me why the beard would go white 584 00:30:20,400 --> 00:30:23,480 Speaker 4: and the hair would stay relatively brown or whatever. So 585 00:30:23,520 --> 00:30:26,040 Speaker 4: I'm not sure what the cause is there, but she 586 00:30:26,160 --> 00:30:29,600 Speaker 4: comes in and it's pretty detailed, like at one point 587 00:30:29,640 --> 00:30:32,200 Speaker 4: she has me hooked up to an EKG and I 588 00:30:32,240 --> 00:30:33,959 Speaker 4: gotta lay down on the couch and there's like all 589 00:30:33,960 --> 00:30:36,440 Speaker 4: these different prongs to read my heart and everything else, 590 00:30:36,440 --> 00:30:38,560 Speaker 4: and she's taking a lot of blood and everything else. 591 00:30:38,880 --> 00:30:43,920 Speaker 4: But the minute she walks in, she hears me and 592 00:30:43,960 --> 00:30:46,560 Speaker 4: she says, oh my god, I love the show. And 593 00:30:46,560 --> 00:30:49,320 Speaker 4: then the second part she's like, you haven't been able 594 00:30:49,320 --> 00:30:51,520 Speaker 4: to eat your turkey and cheese sandwich today because I 595 00:30:51,560 --> 00:30:55,280 Speaker 4: wasn't allowed to eat food before the examination. So she's like, 596 00:30:55,280 --> 00:30:57,680 Speaker 4: we got to get through with this really fast. So 597 00:30:57,760 --> 00:31:00,560 Speaker 4: I wanted to thank Glory for coming out and making 598 00:31:00,560 --> 00:31:03,320 Speaker 4: sure hopefully that I don't die anytime soon, and that 599 00:31:03,360 --> 00:31:05,160 Speaker 4: if I do, at least the family gets money for it. 600 00:31:05,240 --> 00:31:07,480 Speaker 4: But I love that she was such a listener that 601 00:31:07,520 --> 00:31:10,840 Speaker 4: she immediately thought, because of the blood work and everything else, oh, 602 00:31:10,880 --> 00:31:12,560 Speaker 4: you haven't had an opportunity to eat lunch. 603 00:31:12,600 --> 00:31:13,719 Speaker 5: So she was fantastic. 604 00:31:14,320 --> 00:31:17,960 Speaker 4: In much more serious news, I would say, we also 605 00:31:18,080 --> 00:31:20,200 Speaker 4: have a call, and this call is asking I think 606 00:31:20,240 --> 00:31:22,760 Speaker 4: a really smart question because Buck, the conversation we were 607 00:31:22,880 --> 00:31:26,360 Speaker 4: just having is about the fact that they may well 608 00:31:26,440 --> 00:31:31,920 Speaker 4: stack multiple different cases on Trump because not a coincidence. 609 00:31:31,920 --> 00:31:34,640 Speaker 4: They wanted to have this trial in January of twenty four, 610 00:31:35,040 --> 00:31:37,440 Speaker 4: and then if their charge is brought in the Atlanta, 611 00:31:37,520 --> 00:31:40,320 Speaker 4: Georgia case, you stacked that case. And then if there 612 00:31:40,320 --> 00:31:42,760 Speaker 4: are charges brought by the Department of Justice, she stacked 613 00:31:42,760 --> 00:31:47,240 Speaker 4: that as well. Trump can't simultaneously be in multiple different courtrooms, 614 00:31:47,520 --> 00:31:50,120 Speaker 4: so one would have to follow the other. They're potentially 615 00:31:50,160 --> 00:31:53,080 Speaker 4: trying to put him in courtrooms for the entirety of 616 00:31:53,120 --> 00:31:56,000 Speaker 4: twenty twenty four to rig the election in favor of 617 00:31:56,040 --> 00:31:58,480 Speaker 4: Joe Biden and Andy and Austin, Texas has a good 618 00:31:58,520 --> 00:31:59,240 Speaker 4: question about this. 619 00:32:01,560 --> 00:32:04,960 Speaker 8: Yeah, so is their collision between those offices? I think 620 00:32:05,040 --> 00:32:07,320 Speaker 8: we I think Jim Jordan ought to subpoena every one 621 00:32:07,360 --> 00:32:10,400 Speaker 8: of them and get any of their phone records, all 622 00:32:10,440 --> 00:32:13,440 Speaker 8: their emailing records. You just see if if we have 623 00:32:13,520 --> 00:32:16,000 Speaker 8: the DNC and the d o J and the DA 624 00:32:16,120 --> 00:32:19,880 Speaker 8: and in New York and the DA and in Atlanta, 625 00:32:20,000 --> 00:32:22,320 Speaker 8: just to see what kind of conversations they're having between 626 00:32:22,360 --> 00:32:22,840 Speaker 8: one another. 627 00:32:23,440 --> 00:32:24,480 Speaker 5: Fantastic idea. 628 00:32:25,520 --> 00:32:28,200 Speaker 2: So I think there's there's two levels to this. One 629 00:32:28,240 --> 00:32:31,880 Speaker 2: is the idea that we just need to start fighting 630 00:32:31,920 --> 00:32:33,880 Speaker 2: fire with fire, which is what this caller is going 631 00:32:33,920 --> 00:32:38,000 Speaker 2: to uh, and I completely agree. It never stops. They're 632 00:32:38,040 --> 00:32:42,280 Speaker 2: never going to stop because they feel guilty about cheating, 633 00:32:42,800 --> 00:32:45,760 Speaker 2: about foul play, about any of that. Right, They're just 634 00:32:45,760 --> 00:32:48,560 Speaker 2: gonna keep doing it until they are stopped. One way, 635 00:32:48,600 --> 00:32:51,360 Speaker 2: you may be able to get them to not use 636 00:32:51,400 --> 00:32:53,080 Speaker 2: this Trump indictment as a present. You think this is 637 00:32:53,080 --> 00:32:55,200 Speaker 2: the last time they're going to indict a politician to 638 00:32:55,200 --> 00:32:58,320 Speaker 2: try to stop them from being a contender against them 639 00:32:58,360 --> 00:32:58,840 Speaker 2: and their power. 640 00:32:58,880 --> 00:32:59,360 Speaker 5: Definitely not. 641 00:32:59,880 --> 00:33:02,000 Speaker 2: So you have to find a way to exact a 642 00:33:02,080 --> 00:33:05,120 Speaker 2: price for the tactics that they're using. So that's part one. 643 00:33:05,160 --> 00:33:07,120 Speaker 2: I think you and I Clay see that the same way. 644 00:33:07,280 --> 00:33:09,040 Speaker 2: And it's a it's a great point from the caller, 645 00:33:09,440 --> 00:33:11,440 Speaker 2: And yeah, I mean, we do have a majority in 646 00:33:11,480 --> 00:33:14,440 Speaker 2: the House, thank Heavens that can use the power of spen. 647 00:33:14,560 --> 00:33:18,080 Speaker 2: Look what you know, Pelosi and her gang were pulling 648 00:33:18,080 --> 00:33:23,040 Speaker 2: people's phone records, doing all kinds of very aggressive investigative tactics. 649 00:33:23,520 --> 00:33:27,080 Speaker 2: So that's that's for sure. On the collusion side of it. 650 00:33:27,080 --> 00:33:30,440 Speaker 2: It's interesting because I think that we've all collusion was 651 00:33:30,520 --> 00:33:34,000 Speaker 2: so misused as a term never mind the fact that 652 00:33:34,040 --> 00:33:36,440 Speaker 2: it was all lies but just misused as a term 653 00:33:36,520 --> 00:33:39,160 Speaker 2: during the Trump Error and the Mother probe, because it 654 00:33:39,200 --> 00:33:42,520 Speaker 2: really was conspiracy in legal terms that they were talking about, 655 00:33:42,560 --> 00:33:45,560 Speaker 2: like a conspiracy to you know, defraud or steal the 656 00:33:45,600 --> 00:33:50,720 Speaker 2: election or whatever. Collusion I think only exists in criminal 657 00:33:50,760 --> 00:33:54,200 Speaker 2: statute when it comes to antitrust law. So it's like 658 00:33:54,280 --> 00:33:57,040 Speaker 2: price fixing between companies. I don't know if you I 659 00:33:57,040 --> 00:34:00,360 Speaker 2: don't think you can have collusion that go those to 660 00:34:00,800 --> 00:34:03,400 Speaker 2: government agencies. I don't know. 661 00:34:03,920 --> 00:34:06,240 Speaker 4: It's an interesting legal question. I would say a couple 662 00:34:06,280 --> 00:34:08,960 Speaker 4: of things. One, his general premise is a good one. 663 00:34:09,040 --> 00:34:12,000 Speaker 4: I would love to know how much interaction there has 664 00:34:12,080 --> 00:34:15,799 Speaker 4: been between prosecutors in Georgia, New York, and in the 665 00:34:15,840 --> 00:34:19,040 Speaker 4: Department of Justice as it pertains to their Trump investigations.