1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of the Clay Travis and buck 2 00:00:03,360 --> 00:00:08,200 Speaker 1: Sexton Show podcast. Welcome in Tuesday, that should Clay Travis 3 00:00:08,200 --> 00:00:11,320 Speaker 1: buck Sexton Show. We hope all of you are having 4 00:00:11,520 --> 00:00:14,640 Speaker 1: fantastic days wherever we maybe across this great country or 5 00:00:14,880 --> 00:00:18,360 Speaker 1: this great world, this great gland. We have got a 6 00:00:18,360 --> 00:00:21,120 Speaker 1: lot hit you with as we always do. Our buddy 7 00:00:21,239 --> 00:00:23,480 Speaker 1: Alex Barrenson, It's gonna be with us in the third 8 00:00:23,520 --> 00:00:26,480 Speaker 1: hour of the program, only guest, but you guys always 9 00:00:27,120 --> 00:00:30,479 Speaker 1: enjoy the data and news that he brings. I suspect 10 00:00:30,520 --> 00:00:34,400 Speaker 1: that will be a very interesting conversation as COVID insanity 11 00:00:35,080 --> 00:00:38,159 Speaker 1: is beginning in many different Blue states and Blue cities 12 00:00:38,360 --> 00:00:42,960 Speaker 1: all over again. But in addition to that, we're also 13 00:00:42,960 --> 00:00:46,080 Speaker 1: going to talk about Jose Alba bodega owner his murder 14 00:00:46,159 --> 00:00:50,000 Speaker 1: charges have been dropped. We will talk about Kamala Harris 15 00:00:50,479 --> 00:00:55,280 Speaker 1: discussing that abortion requiring women to have babies as the 16 00:00:55,320 --> 00:01:01,600 Speaker 1: equivalent of slavery. And Joe Biden may declare an emergency 17 00:01:01,600 --> 00:01:07,800 Speaker 1: climate declaration today because he is floundering, and in particular, 18 00:01:08,200 --> 00:01:11,120 Speaker 1: he's floundering in ways that even the left wing in 19 00:01:11,160 --> 00:01:15,319 Speaker 1: this country can no longer defend him. From the pole 20 00:01:15,440 --> 00:01:19,720 Speaker 1: came out today from the Trafalgar Group. They have Donald 21 00:01:19,760 --> 00:01:23,880 Speaker 1: Trump with a five point lead over Joe Biden. That 22 00:01:24,000 --> 00:01:26,280 Speaker 1: is the biggest lead that Donald Trump has ever had 23 00:01:26,319 --> 00:01:29,000 Speaker 1: in any poll over Joe Biden that I have ever 24 00:01:29,400 --> 00:01:32,959 Speaker 1: seen in the history of polling between those two men. 25 00:01:33,280 --> 00:01:37,000 Speaker 1: And it's not just that CNN came out with a 26 00:01:37,040 --> 00:01:41,080 Speaker 1: pole yesterday evening. It has Joe Biden's approval rating at 27 00:01:41,200 --> 00:01:48,440 Speaker 1: thirty eight percent and his disapproval rating at sixty one percent, 28 00:01:49,080 --> 00:01:52,800 Speaker 1: which is frankly unheard of. That is worse than Donald 29 00:01:52,800 --> 00:01:56,880 Speaker 1: Trump was at this time in his presidency. And yesterday 30 00:01:56,960 --> 00:02:00,800 Speaker 1: on CNN they were at a loss to even explain 31 00:02:01,400 --> 00:02:04,600 Speaker 1: how bad of an outlook that provides for Joe Biden. 32 00:02:04,680 --> 00:02:08,640 Speaker 1: Here is CNN discussing a new low in polling for 33 00:02:08,760 --> 00:02:11,880 Speaker 1: Joe Biden. Numbers show that many Americans share a somber 34 00:02:11,919 --> 00:02:14,000 Speaker 1: outlook on the state of our nation. Let's bring in 35 00:02:14,040 --> 00:02:16,760 Speaker 1: CNN Political director David Gillian to help us break it 36 00:02:16,800 --> 00:02:19,680 Speaker 1: all down. David, what's the mood of the United States 37 00:02:19,720 --> 00:02:22,040 Speaker 1: right now? Yeah, somber is a good word. Jake sour 38 00:02:22,280 --> 00:02:28,240 Speaker 1: totally disappointed, disgruntled. Any of those words gets at how bad. 39 00:02:28,400 --> 00:02:30,720 Speaker 1: Americans sort of perceived the state of things right now, 40 00:02:31,040 --> 00:02:33,640 Speaker 1: how well are things going in the country today? Only 41 00:02:33,680 --> 00:02:37,839 Speaker 1: twenty one percent say things are going well. I want 42 00:02:37,840 --> 00:02:41,280 Speaker 1: to put that in some historical context for you. Twenty 43 00:02:41,280 --> 00:02:45,040 Speaker 1: one percent is the low point. This goes back, in fact, 44 00:02:45,080 --> 00:02:46,640 Speaker 1: off this chart, Jake, you have to go back to 45 00:02:46,680 --> 00:02:49,160 Speaker 1: two thousand and nine to find a time when the 46 00:02:49,200 --> 00:02:53,000 Speaker 1: American electorate was this dissatisfied with the way things were 47 00:02:53,000 --> 00:02:56,520 Speaker 1: going in the country. Buck, it ain't good. And even 48 00:02:56,639 --> 00:02:59,320 Speaker 1: CNN now is sitting around. I mean, when you talk 49 00:02:59,360 --> 00:03:04,720 Speaker 1: about getting to over sixty percent disapproval, that's hard to do. 50 00:03:04,919 --> 00:03:07,040 Speaker 1: And in order to get out of that hole, you 51 00:03:07,080 --> 00:03:09,639 Speaker 1: have to get people to change their minds, and it's 52 00:03:09,720 --> 00:03:12,160 Speaker 1: hard to get people to change their minds once they've 53 00:03:12,160 --> 00:03:16,960 Speaker 1: made them up. You're seeing regime media, with CNN leading 54 00:03:17,000 --> 00:03:20,480 Speaker 1: the way on this, recognizing now we're going to be 55 00:03:20,480 --> 00:03:25,680 Speaker 1: in August here really soon that they have to psychologically 56 00:03:25,800 --> 00:03:31,360 Speaker 1: prepare the emotionally fragile audiences that they've been trying to 57 00:03:31,400 --> 00:03:34,760 Speaker 1: tell Biden's doing a great job. They've been trying to 58 00:03:34,760 --> 00:03:37,640 Speaker 1: tell them that for the last eighteen months or so. 59 00:03:38,240 --> 00:03:41,840 Speaker 1: Now it's starting to turn more into Biden's doing the 60 00:03:41,880 --> 00:03:45,960 Speaker 1: best he can, but it's probably gonna be a rough midterm. Guys. 61 00:03:46,000 --> 00:03:48,400 Speaker 1: You can start to see it's seeping in there. And 62 00:03:48,480 --> 00:03:51,920 Speaker 1: it's even more clear because of what we keep talking about, 63 00:03:52,040 --> 00:03:57,040 Speaker 1: which is the media palace coup of sorts that could 64 00:03:57,040 --> 00:03:59,840 Speaker 1: be under away here where they decide that they're going 65 00:03:59,880 --> 00:04:03,240 Speaker 1: to turn public opinion from within the Democrat Party against 66 00:04:03,320 --> 00:04:06,440 Speaker 1: a second Biden run. So I think the machinery is 67 00:04:06,480 --> 00:04:09,520 Speaker 1: all working in the way that you would expect. They 68 00:04:09,640 --> 00:04:14,240 Speaker 1: cannot they cannot turn around overall perception at this point 69 00:04:14,400 --> 00:04:17,160 Speaker 1: because of the economy, and even if the economy wasn't 70 00:04:17,160 --> 00:04:20,360 Speaker 1: this bad, crime, the border, They're a range of issues 71 00:04:20,400 --> 00:04:23,400 Speaker 1: that I think would be a huge drag on Democrats 72 00:04:23,480 --> 00:04:27,400 Speaker 1: going into this election cycle. But they're having to, you know, 73 00:04:27,440 --> 00:04:31,280 Speaker 1: they're having to psychologically prepare them. You know. It's it's like, 74 00:04:31,360 --> 00:04:32,960 Speaker 1: you know, you've been a coach. I've been a coach 75 00:04:33,320 --> 00:04:35,520 Speaker 1: when you're going up against the like city or the 76 00:04:35,560 --> 00:04:37,800 Speaker 1: state champion, and you love your guys and you want 77 00:04:37,800 --> 00:04:40,000 Speaker 1: them to do their best, but you're like, this might 78 00:04:40,000 --> 00:04:41,560 Speaker 1: be a tough one, guys, just so you know, we're 79 00:04:41,560 --> 00:04:45,000 Speaker 1: gonna do our best, though, that's pretty much where Democrats 80 00:04:45,040 --> 00:04:49,400 Speaker 1: are going into this election, and you know, it's getting 81 00:04:49,440 --> 00:04:53,080 Speaker 1: bad for Joe Biden. Buck Early in Joe Biden's tenure, 82 00:04:53,120 --> 00:04:56,039 Speaker 1: do you remember when the defense for why comedians weren't 83 00:04:56,080 --> 00:04:59,000 Speaker 1: making fun of him was it was almost impossible to 84 00:04:59,040 --> 00:05:01,120 Speaker 1: find anything to make fun of him about. Do you 85 00:05:01,080 --> 00:05:04,080 Speaker 1: remember that was literally, there definis nothing funny about mister McGoo. 86 00:05:04,120 --> 00:05:06,800 Speaker 1: It's not like there's a whole cartoon about him. And 87 00:05:07,000 --> 00:05:08,760 Speaker 1: so they said, oh, we can't. I mean, he's just 88 00:05:09,040 --> 00:05:11,839 Speaker 1: he's just so impressive. There's just not very much to 89 00:05:11,880 --> 00:05:14,920 Speaker 1: make fun of. Well, the gloves are off, as Joe 90 00:05:14,920 --> 00:05:18,080 Speaker 1: Biden's approval ratings have tanked. If there's one thing that 91 00:05:18,160 --> 00:05:22,159 Speaker 1: comedians are loyal to, it's whatever the audience says that 92 00:05:22,200 --> 00:05:25,080 Speaker 1: they respond to in a positive way. They're gonna do 93 00:05:25,160 --> 00:05:27,880 Speaker 1: more and more of that. Even Jimmy Fallon, who I 94 00:05:27,880 --> 00:05:31,920 Speaker 1: think it's fair to say, is the least political of 95 00:05:31,960 --> 00:05:35,679 Speaker 1: the late night show host he said he talked about 96 00:05:35,680 --> 00:05:38,479 Speaker 1: Fauci retiring and listen to this joke. I mean, well, 97 00:05:38,520 --> 00:05:40,479 Speaker 1: I read that doctor Fauci said that he plans to 98 00:05:40,520 --> 00:05:44,280 Speaker 1: retire by the end of President Biden's turn and then 99 00:05:44,320 --> 00:05:46,400 Speaker 1: everyone turned to Biden, like, is there anything you'd like 100 00:05:46,480 --> 00:05:51,000 Speaker 1: to announce too? All right, so you're I mean, buck 101 00:05:51,240 --> 00:05:55,159 Speaker 1: that joke. I mean you heard people laughing. The fact 102 00:05:55,160 --> 00:05:59,080 Speaker 1: that Biden should step down is now a comedic punchline, 103 00:05:59,600 --> 00:06:02,480 Speaker 1: and a lot of people kind of uncomfortably laughing. There. 104 00:06:02,920 --> 00:06:05,719 Speaker 1: That's a Jimmy Fallon joke that certainly would not have 105 00:06:05,839 --> 00:06:08,479 Speaker 1: happened in the first year of the Biden presidency. It 106 00:06:08,600 --> 00:06:12,839 Speaker 1: is remarkable as well to see that they're all turning 107 00:06:13,279 --> 00:06:15,880 Speaker 1: almost in unison, right. Oh yeah, it says though there 108 00:06:16,080 --> 00:06:19,440 Speaker 1: was a memo that went out to the regime media, 109 00:06:19,480 --> 00:06:24,039 Speaker 1: which include the late night quote comedy shows. Jimmy Fallon 110 00:06:24,480 --> 00:06:27,680 Speaker 1: seems to make the most authentic effort at being funny 111 00:06:27,680 --> 00:06:30,200 Speaker 1: as opposed to just I mean, Stephen Colbert should be 112 00:06:30,240 --> 00:06:32,840 Speaker 1: on ms His show should be on MSNBC. Yes, right, 113 00:06:32,839 --> 00:06:34,880 Speaker 1: it should just be a straight It should be right 114 00:06:34,920 --> 00:06:37,720 Speaker 1: after I don't even know who's who replaced Matt It's 115 00:06:37,720 --> 00:06:40,479 Speaker 1: a great question. I don't know who's on. That's not 116 00:06:40,520 --> 00:06:43,000 Speaker 1: good for MSNBCS. We can't even name her replacement. I 117 00:06:43,040 --> 00:06:45,560 Speaker 1: know they do have a Republican or two former Republican 118 00:06:45,680 --> 00:06:47,960 Speaker 1: or two, because that's something that always amuses lives to 119 00:06:48,000 --> 00:06:52,200 Speaker 1: have fake Republicans trashing Republicans for a paycheck. But I 120 00:06:52,560 --> 00:06:55,640 Speaker 1: think that the problem the Democrats face right now. I 121 00:06:55,680 --> 00:06:57,560 Speaker 1: spoke to a friend of mine recently who is a 122 00:06:58,760 --> 00:07:02,400 Speaker 1: left wing Democrat about this, and we're going through who 123 00:07:02,400 --> 00:07:06,159 Speaker 1: are the who are the options? When you really start thinking, 124 00:07:06,400 --> 00:07:08,159 Speaker 1: I mean you go down the list and I even 125 00:07:08,200 --> 00:07:11,480 Speaker 1: looked at who was running in the Democrat primary, which 126 00:07:11,680 --> 00:07:13,560 Speaker 1: really doesn't feel like it was long ago, right, I mean, 127 00:07:13,840 --> 00:07:16,480 Speaker 1: this is all coming on pretty quickly. You think about 128 00:07:16,520 --> 00:07:20,960 Speaker 1: who were the top candidates. Biden's problem is he's too old, okay, 129 00:07:21,560 --> 00:07:24,000 Speaker 1: and there's other problems too, but that's the one that's 130 00:07:24,000 --> 00:07:27,960 Speaker 1: just inescapable. It's obvious. You know, water is wet, Biden 131 00:07:28,080 --> 00:07:30,960 Speaker 1: is too old, Okay, you can't have Bernie then, folks, 132 00:07:30,960 --> 00:07:32,920 Speaker 1: all right, it's not going to be burned too right, 133 00:07:33,000 --> 00:07:35,600 Speaker 1: He's too old obviously, So that's that's just not gonna work. 134 00:07:35,680 --> 00:07:41,160 Speaker 1: Why why make that change? Elizabeth Warren is borderline, she's 135 00:07:41,200 --> 00:07:43,720 Speaker 1: too old, too old, right, she's maybe a three or 136 00:07:43,720 --> 00:07:46,040 Speaker 1: four years young the Biden, but also too old. And 137 00:07:46,120 --> 00:07:48,320 Speaker 1: remember you could say, oh, well what about Trump? Talking 138 00:07:48,320 --> 00:07:52,320 Speaker 1: about Democrats replacing an incumbent. Okay, forget about what Republicans 139 00:07:52,520 --> 00:07:54,840 Speaker 1: are gonna do, and then you look down the rest 140 00:07:54,880 --> 00:07:58,440 Speaker 1: the list. Obviously, Kamala would be the obvious choice, and 141 00:07:58,520 --> 00:08:01,200 Speaker 1: she will run, so she will throw her hat into 142 00:08:01,240 --> 00:08:04,360 Speaker 1: the ring if Biden steps out. But nobody's enamored of 143 00:08:04,440 --> 00:08:06,560 Speaker 1: camp of Kamala. I mean, I know last night on 144 00:08:06,640 --> 00:08:10,720 Speaker 1: Tucker Show, he put out there the two big blue 145 00:08:10,760 --> 00:08:14,000 Speaker 1: state governors who actually won elections. So that gets rid 146 00:08:14,000 --> 00:08:17,400 Speaker 1: of hocol, right, because Hokol was just there, Hocal. It's 147 00:08:17,440 --> 00:08:19,800 Speaker 1: just somebody. They're like, uh, we need a governor because 148 00:08:19,840 --> 00:08:23,800 Speaker 1: the last Democrat governor, Cuomo was grabbing too many people. 149 00:08:24,680 --> 00:08:29,200 Speaker 1: And so now you have Pritzker in Illinois and in 150 00:08:29,640 --> 00:08:34,160 Speaker 1: Newsom in California. Who's the most formidable candidate that the 151 00:08:34,200 --> 00:08:36,800 Speaker 1: Democrats could put forward to take over for Biden? At 152 00:08:36,800 --> 00:08:39,959 Speaker 1: this point, I think you have to agree that it's 153 00:08:40,000 --> 00:08:44,680 Speaker 1: probably Gavin Nooso, which sounds crazy, but who else? Yeah, 154 00:08:44,720 --> 00:08:46,520 Speaker 1: I think it's Gavin Newsom, And I think you're right, 155 00:08:46,800 --> 00:08:50,200 Speaker 1: Mayor Pete. People won't talk about it, but the gay 156 00:08:50,240 --> 00:08:53,959 Speaker 1: thing no support from black guys. The black guys are 157 00:08:53,960 --> 00:08:56,840 Speaker 1: not voting for a gay white guy. To be president 158 00:08:56,880 --> 00:08:59,440 Speaker 1: of the United States. And it's like Democrats won't acknowledge it. 159 00:08:59,679 --> 00:09:01,720 Speaker 1: But you just look at Mayor Pete. First of all, 160 00:09:01,720 --> 00:09:04,760 Speaker 1: his resume is not very impressive. But when you actually 161 00:09:04,800 --> 00:09:08,720 Speaker 1: look at his appeal to minority voters, no one voted 162 00:09:08,760 --> 00:09:11,840 Speaker 1: for him who was a minority. White people woke, white 163 00:09:11,840 --> 00:09:14,840 Speaker 1: people love Mayor Pete because he reminds them of themselves, 164 00:09:15,400 --> 00:09:18,480 Speaker 1: I mean, honestly, but he has he has no chance. 165 00:09:18,520 --> 00:09:20,439 Speaker 1: I think I think it's Newsome. I Look, I think 166 00:09:21,160 --> 00:09:23,600 Speaker 1: Corey Booker may want to get involved and get not 167 00:09:23,920 --> 00:09:26,080 Speaker 1: very likely. Look, I'm not like on the Corey Booker 168 00:09:26,160 --> 00:09:28,360 Speaker 1: campaign here, buddy, I'm just saying they're gonna have to 169 00:09:28,400 --> 00:09:30,600 Speaker 1: come up with something. I think it's Newsome. I think 170 00:09:30,640 --> 00:09:33,280 Speaker 1: Newsom would end up being the nominee. And and the 171 00:09:33,360 --> 00:09:38,120 Speaker 1: thing about Newsom is I question his ability to analyze 172 00:09:38,440 --> 00:09:43,559 Speaker 1: anything on a political nature because of that stupid ad 173 00:09:43,559 --> 00:09:47,200 Speaker 1: that he ran in Florida that was so tone deaf 174 00:09:47,240 --> 00:09:50,040 Speaker 1: against Ron de Santis over July fourth. But here's I 175 00:09:50,120 --> 00:09:51,760 Speaker 1: just he would He would be a disas you and 176 00:09:51,800 --> 00:09:54,040 Speaker 1: I both have to deal with this, right there's there 177 00:09:54,080 --> 00:09:57,360 Speaker 1: are blue checks on Twitter that come after you who 178 00:09:57,400 --> 00:10:00,800 Speaker 1: have hundreds of thousands of followers, maybe you'll take a 179 00:10:00,840 --> 00:10:02,760 Speaker 1: swing back. And then there are the blue checks that 180 00:10:02,800 --> 00:10:04,679 Speaker 1: have three hundred followers and you're like, you know, or 181 00:10:04,720 --> 00:10:06,439 Speaker 1: you know three thousand, and you're like, I don't really, 182 00:10:06,480 --> 00:10:10,440 Speaker 1: I don't really care. Newsom I think was punching up 183 00:10:10,640 --> 00:10:13,240 Speaker 1: and everyone saw that, right, meaning that by trying to 184 00:10:13,280 --> 00:10:17,760 Speaker 1: attach himself to Desantists. Who is the leader of Republican 185 00:10:17,920 --> 00:10:20,280 Speaker 1: governors right now? I know Trump is still the de 186 00:10:20,400 --> 00:10:24,160 Speaker 1: facto head of the Republican Party for a majority of 187 00:10:24,200 --> 00:10:29,599 Speaker 1: Republicans today, but you're talking about governors, it's clearly DeSantis's 188 00:10:29,960 --> 00:10:32,680 Speaker 1: Desantists in the lead on the governor side of things. 189 00:10:33,120 --> 00:10:37,079 Speaker 1: Newsome wants to be considered that among Democrats, right, He's 190 00:10:37,080 --> 00:10:39,000 Speaker 1: from the biggest state in the country, the biggest blue 191 00:10:39,000 --> 00:10:42,640 Speaker 1: state slash state in the country. So for him, I 192 00:10:42,679 --> 00:10:45,360 Speaker 1: think it's an elevation to even put him in the 193 00:10:45,440 --> 00:10:50,120 Speaker 1: same ring so to speaks as Desantists. The problem though 194 00:10:50,120 --> 00:10:53,760 Speaker 1: for Newsome, I think Clayby I mean becomes one the 195 00:10:53,800 --> 00:10:56,760 Speaker 1: policies of California in the outflow, which is obvious. And 196 00:10:56,800 --> 00:11:04,839 Speaker 1: then also how does Gavin Newsom play in Georgia In Pennsylvania, 197 00:11:04,880 --> 00:11:08,920 Speaker 1: in Michigan and Wisconsin, I don't think he plays very well. 198 00:11:09,520 --> 00:11:11,080 Speaker 1: I don't think he does either. I think he would 199 00:11:11,080 --> 00:11:13,600 Speaker 1: get trounced. But I think he's the best option that 200 00:11:13,679 --> 00:11:17,679 Speaker 1: they have. I don't that they would select. The best 201 00:11:17,720 --> 00:11:20,760 Speaker 1: option that they have is actually the guy that they hate, 202 00:11:20,920 --> 00:11:24,280 Speaker 1: Joe Manchin. Joe Manchin would actually play well in the 203 00:11:24,320 --> 00:11:26,600 Speaker 1: red states. You know he's gonna win the Blue states 204 00:11:26,600 --> 00:11:29,280 Speaker 1: just because he's a Democrat. He has zero percent chances. 205 00:11:29,360 --> 00:11:31,040 Speaker 1: But he wouldn't give them what they want in office. 206 00:11:31,120 --> 00:11:33,559 Speaker 1: Is for them, that's why they you know what I mean. 207 00:11:33,600 --> 00:11:37,040 Speaker 1: So so for them, that's a lose lose. But Gavin 208 00:11:37,120 --> 00:11:39,520 Speaker 1: Knewsom would have to pick because we know that all 209 00:11:39,600 --> 00:11:42,920 Speaker 1: the Democrats care about is cosmetic diversity. Now like he'd 210 00:11:42,920 --> 00:11:45,000 Speaker 1: have to pick a minority female running mate. You think 211 00:11:45,000 --> 00:11:47,240 Speaker 1: he goes with Stacy Abrams as his running mate. That's 212 00:11:47,320 --> 00:11:51,640 Speaker 1: my first thoughts. She loses in Georgia. Now she won, 213 00:11:51,800 --> 00:11:54,880 Speaker 1: she would run, she might be the nominee. Excuse me, sir, 214 00:11:55,240 --> 00:11:57,280 Speaker 1: she's gonna be in her second term as the fake 215 00:11:57,360 --> 00:12:01,280 Speaker 1: governor of Georgia. She was down seven points in the 216 00:12:01,280 --> 00:12:03,120 Speaker 1: most recent poll. I don't think it's going to be 217 00:12:03,160 --> 00:12:05,520 Speaker 1: particularly close in the governor's race. I think the Senate 218 00:12:05,600 --> 00:12:08,440 Speaker 1: race between herschel Walker and Warnock is going to end 219 00:12:08,480 --> 00:12:11,560 Speaker 1: up being close. I think I think herschel Walker is 220 00:12:11,600 --> 00:12:14,120 Speaker 1: going to end up finding a way to win because 221 00:12:14,240 --> 00:12:17,960 Speaker 1: Georgia Republicans are so fired up. But I think Stacey 222 00:12:17,960 --> 00:12:21,080 Speaker 1: Abram's gonna lose. The funniest one to me, buck is 223 00:12:21,480 --> 00:12:24,839 Speaker 1: the Betos Stacey Abraham's ticket. Neither one of them can 224 00:12:24,880 --> 00:12:28,439 Speaker 1: win anything in their home states, but they all raise 225 00:12:29,000 --> 00:12:31,719 Speaker 1: one hundred million dollars or so from New York and 226 00:12:31,800 --> 00:12:36,120 Speaker 1: California people. Beto plus Abrams the losing ticket of all time. 227 00:12:36,360 --> 00:12:38,400 Speaker 1: I could see that happen. I mean, look at Biden. 228 00:12:38,960 --> 00:12:41,800 Speaker 1: The lesson of Joe Biden is you can be a 229 00:12:41,920 --> 00:12:47,480 Speaker 1: clownish loser in presidential elections. Biden. I was invited just 230 00:12:47,520 --> 00:12:51,000 Speaker 1: to as a spectator to a cocktail event in DC 231 00:12:51,200 --> 00:12:53,199 Speaker 1: when I was the CIA, and I just went. I think, 232 00:12:53,240 --> 00:12:54,640 Speaker 1: you know, someone brought me as a date or something. 233 00:12:54,640 --> 00:12:57,480 Speaker 1: I remember now it was Biden, Kucinich and someone else 234 00:12:57,480 --> 00:13:00,040 Speaker 1: who's name I can't even remember. He was at that 235 00:13:00,200 --> 00:13:02,160 Speaker 1: level running in two thousand and eight. He was at 236 00:13:02,200 --> 00:13:05,360 Speaker 1: the cucinage level of like one percent support. So the 237 00:13:05,440 --> 00:13:08,480 Speaker 1: lesson of Bidenism is if you just stick around long 238 00:13:08,600 --> 00:13:11,320 Speaker 1: enough and you don't care about anything other than being there, 239 00:13:11,720 --> 00:13:15,520 Speaker 1: maybe you can win. Remember Biden got blew up in 240 00:13:15,559 --> 00:13:18,360 Speaker 1: two thousand and eight because he said Barack Obama was 241 00:13:18,440 --> 00:13:22,040 Speaker 1: the first black candidate who was I think clean and articulate. 242 00:13:22,679 --> 00:13:25,120 Speaker 1: I mean that was Biden and O eight and his 243 00:13:25,400 --> 00:13:29,760 Speaker 1: entire presidential campaign imploded. The only reason he had any 244 00:13:29,840 --> 00:13:33,280 Speaker 1: viability at all was because Obama decided to make him 245 00:13:33,280 --> 00:13:37,240 Speaker 1: as VP. The best in quotes moment that Kamala had 246 00:13:37,320 --> 00:13:40,880 Speaker 1: in the last election cycle was trashing Joe Biden as 247 00:13:40,880 --> 00:13:43,000 Speaker 1: an old white racist on stage in front of the 248 00:13:43,000 --> 00:13:45,040 Speaker 1: whole country. That was the only moment anybody, and that 249 00:13:45,080 --> 00:13:47,560 Speaker 1: was when she was like, I'm obviously a top tier candidate. 250 00:13:47,679 --> 00:13:50,960 Speaker 1: Well not so much, it turned out. But nonetheless, we're 251 00:13:51,000 --> 00:13:53,839 Speaker 1: gonna stay on all this, friends, because man, we are 252 00:13:53,840 --> 00:13:58,280 Speaker 1: heading into a fascinating, fascinating political cycle here. You know, 253 00:13:58,320 --> 00:14:01,559 Speaker 1: we formed strong attachments to brands, and it's understandable why 254 00:14:01,559 --> 00:14:05,040 Speaker 1: people hesitate to try something new, especially when it involves 255 00:14:05,080 --> 00:14:08,560 Speaker 1: something as important as your cell phone service. This definitely 256 00:14:08,640 --> 00:14:11,840 Speaker 1: is the case with Verizon AT and T and T Mobile. 257 00:14:12,600 --> 00:14:15,040 Speaker 1: There's an assumption that those big companies are better because 258 00:14:15,120 --> 00:14:17,839 Speaker 1: you know they're bigger, right, But what's also bigger is 259 00:14:17,880 --> 00:14:20,960 Speaker 1: the bill you get every month. What if I told 260 00:14:20,960 --> 00:14:24,360 Speaker 1: you then, instead of spending nearly one hundred dollars a 261 00:14:24,400 --> 00:14:26,840 Speaker 1: month to your current provider, you can get all the 262 00:14:27,000 --> 00:14:30,760 Speaker 1: same stuff for just thirty dollars a month with pure Talk. 263 00:14:31,120 --> 00:14:33,560 Speaker 1: I didn't believe it until I made the switch. Pure 264 00:14:33,600 --> 00:14:35,760 Speaker 1: Talk cell phone service is just as good as the 265 00:14:35,760 --> 00:14:38,640 Speaker 1: big companies, with great data and internet access and the 266 00:14:38,760 --> 00:14:42,760 Speaker 1: same clear quality conversations. It makes sense because they use 267 00:14:42,960 --> 00:14:45,720 Speaker 1: the exact same towers and the same network as one 268 00:14:45,720 --> 00:14:47,680 Speaker 1: of those big names out there that you already know. 269 00:14:48,160 --> 00:14:50,640 Speaker 1: So don't overpay anymore. Why you want to give some 270 00:14:50,720 --> 00:14:54,600 Speaker 1: huge corporation more money, join me switch to pure Talk. 271 00:14:54,800 --> 00:14:57,160 Speaker 1: If you do it now, you'll get a month free. 272 00:14:57,360 --> 00:15:00,480 Speaker 1: Grab your cell phone and dial pound to FI zero 273 00:15:00,560 --> 00:15:03,920 Speaker 1: and say Clay and Buck. That's dial right now. From 274 00:15:03,920 --> 00:15:08,680 Speaker 1: your phone, dial pound two five zero, say Clay and Buck. 275 00:15:09,000 --> 00:15:12,040 Speaker 1: Sign up and you'll get a month free. Pure Talk 276 00:15:12,160 --> 00:15:17,480 Speaker 1: is simply smarter wil of being unable to accomplish anything 277 00:15:17,640 --> 00:15:21,000 Speaker 1: that Joe Biden has campaigned gone. The president's approval rating 278 00:15:21,160 --> 00:15:25,920 Speaker 1: is now hovering someway between long COVID and Uvaldi police departments, 279 00:15:26,400 --> 00:15:30,440 Speaker 1: and making matters worse for him is a runaway inflation, right, 280 00:15:30,840 --> 00:15:33,320 Speaker 1: especially when it comes to gas prices. The prices of 281 00:15:33,360 --> 00:15:36,400 Speaker 1: gas are so high that these days driving is the 282 00:15:36,560 --> 00:15:40,120 Speaker 1: entire date. You know. It's just like he rarely spoiled me. 283 00:15:40,200 --> 00:15:43,040 Speaker 1: Last night, we drove all the way from my house 284 00:15:43,040 --> 00:15:49,240 Speaker 1: at the end of the block. He's so romantic. But 285 00:15:49,360 --> 00:15:52,040 Speaker 1: here's a thing, here's a thing. Until gas prices improved, 286 00:15:52,920 --> 00:15:57,480 Speaker 1: neither will will Joe Biden's approval racing. There you have 287 00:15:57,680 --> 00:16:03,440 Speaker 1: more comedians or a median among many making jokes about 288 00:16:03,520 --> 00:16:06,040 Speaker 1: this Biden administration. Welcome back to Clay and buck On 289 00:16:06,200 --> 00:16:10,520 Speaker 1: Bucky's Clay. And what we're seeing is that the regime 290 00:16:10,600 --> 00:16:14,680 Speaker 1: media is no longer circling the wagons they have in 291 00:16:14,720 --> 00:16:17,520 Speaker 1: the past. And there's this one part of it, you know, 292 00:16:17,560 --> 00:16:20,520 Speaker 1: there's all this Oh man, things are going so badly 293 00:16:20,520 --> 00:16:23,080 Speaker 1: in the country right now. Things are so rough out there, 294 00:16:23,480 --> 00:16:26,000 Speaker 1: ha ha. Let's make some jokes about it. Yeah, we 295 00:16:26,080 --> 00:16:27,960 Speaker 1: told all of them that this was going to happen. 296 00:16:28,080 --> 00:16:33,000 Speaker 1: We said, Joe Biden doesn't understand business the economy. All 297 00:16:33,040 --> 00:16:35,600 Speaker 1: he understands is how to keep getting elected in the 298 00:16:35,640 --> 00:16:38,520 Speaker 1: state of Delaware as a Democrat and how to make 299 00:16:38,600 --> 00:16:42,400 Speaker 1: jobs happen for Hunter. And now we're supposed to just say, oh, 300 00:16:42,440 --> 00:16:45,040 Speaker 1: who could have seen this coming? Everyone listening to this, 301 00:16:45,120 --> 00:16:48,360 Speaker 1: Clay saw it coming. I saw it coming. I'll be honest, 302 00:16:48,520 --> 00:16:50,640 Speaker 1: I didn't think it would be this bad. I agree 303 00:16:50,680 --> 00:16:52,920 Speaker 1: with that the same with me. I mean it's hard. 304 00:16:53,440 --> 00:16:56,600 Speaker 1: You know, every decision that you make as president is 305 00:16:56,600 --> 00:16:59,280 Speaker 1: a difficult one, right because it is true that if 306 00:16:59,320 --> 00:17:02,200 Speaker 1: it makes it to your desk, it was something just 307 00:17:02,240 --> 00:17:04,159 Speaker 1: like the Supreme Court, it was something that couldn't have 308 00:17:04,240 --> 00:17:08,479 Speaker 1: been resolved by everybody below. But it's like Biden flipped 309 00:17:08,480 --> 00:17:12,119 Speaker 1: a coin and he called the wrong side every single time, 310 00:17:12,400 --> 00:17:15,320 Speaker 1: which is virtually impossible to do. You watch a sporting event, 311 00:17:15,680 --> 00:17:18,160 Speaker 1: most of the time, two good teams end up being 312 00:17:18,280 --> 00:17:22,240 Speaker 1: relatively competitive. Biden is like the guy who's getting blitzed 313 00:17:22,320 --> 00:17:24,879 Speaker 1: fifty two to three. You know, he made the Super Bowl, 314 00:17:25,160 --> 00:17:27,399 Speaker 1: and then every decision that he's made since he got 315 00:17:27,440 --> 00:17:30,399 Speaker 1: to the super Bowl has been wrong. And it is 316 00:17:30,480 --> 00:17:33,560 Speaker 1: kind of remarkable to see how incompetent. He has been 317 00:17:33,680 --> 00:17:37,440 Speaker 1: even with low expectations, he has come in beneath them. 318 00:17:38,280 --> 00:17:41,200 Speaker 1: It's stunning. I mean, in a sense, got to give 319 00:17:41,240 --> 00:17:43,600 Speaker 1: him credit. He keeps setting new records, just in the 320 00:17:43,600 --> 00:17:45,880 Speaker 1: wrong direction, just for things you don't want to set 321 00:17:45,920 --> 00:17:49,760 Speaker 1: records for. So there's that. It is a memorable presidency, 322 00:17:50,320 --> 00:17:52,600 Speaker 1: the Biden presidency memorable in all the ways you don't 323 00:17:52,600 --> 00:17:55,960 Speaker 1: want to be. During uncertain economic times, my friends, like 324 00:17:56,000 --> 00:17:58,359 Speaker 1: the ones we're in right now, it's sometimes hard to 325 00:17:58,400 --> 00:18:00,000 Speaker 1: determine what do you do with your money. I mean, 326 00:18:00,000 --> 00:18:02,480 Speaker 1: a stock market is so tricky. I've gotten crushed the 327 00:18:02,560 --> 00:18:05,760 Speaker 1: last year. Cyber currency is a bus right now, the 328 00:18:05,800 --> 00:18:08,560 Speaker 1: housing markets looking like it's teetering. So what do we do? 329 00:18:08,920 --> 00:18:12,360 Speaker 1: We create a new plan, a plan to protect our savings. 330 00:18:12,680 --> 00:18:16,199 Speaker 1: My plan has included buying more gold. It's been proven 331 00:18:16,240 --> 00:18:19,720 Speaker 1: over time to hold value when markets become turbulent. I 332 00:18:19,960 --> 00:18:22,920 Speaker 1: use the Oxford Gold Group for my gold purchases. They're 333 00:18:22,960 --> 00:18:25,560 Speaker 1: the industry leader for so many reasons, starting with their 334 00:18:25,600 --> 00:18:28,760 Speaker 1: ability to deliver real gold to my home and providing 335 00:18:28,800 --> 00:18:32,480 Speaker 1: a best pricing guarantee. There's so much wisdom and purchasing 336 00:18:32,600 --> 00:18:36,320 Speaker 1: real goal gold is good. It's solid and gold is 337 00:18:36,320 --> 00:18:39,520 Speaker 1: the key to making sure your investments are on solid footing. 338 00:18:39,880 --> 00:18:43,280 Speaker 1: Called the Oxford Gold Group today to diversify your portfolio 339 00:18:43,359 --> 00:18:46,320 Speaker 1: and to request your free Precious Metals Investment Guide toll 340 00:18:46,400 --> 00:18:49,879 Speaker 1: free eight three three four zero four Gold. That's the 341 00:18:50,000 --> 00:18:53,800 Speaker 1: Oxford Gold Group. Call them today eight three three four 342 00:18:53,960 --> 00:19:00,120 Speaker 1: zero four g o LD. Welcome back at play Travis 343 00:19:00,160 --> 00:19:03,400 Speaker 1: Sexton Show. Hope all of you are having fantastic two days. 344 00:19:03,640 --> 00:19:06,200 Speaker 1: Encourage you to go subscribe. I'm waving right now so 345 00:19:06,280 --> 00:19:10,400 Speaker 1: as Buck, we appreciate all of you who are YouTube subscribers, 346 00:19:10,440 --> 00:19:14,400 Speaker 1: watching us on video as we speak every single day, 347 00:19:14,440 --> 00:19:16,679 Speaker 1: different video clips from this show. You can see me, 348 00:19:16,800 --> 00:19:19,800 Speaker 1: you can see Buck. You can see what the arguments 349 00:19:20,440 --> 00:19:23,800 Speaker 1: look like. You might have already heard them, or again, 350 00:19:23,960 --> 00:19:27,240 Speaker 1: I think this is underrated. If you've got kids or 351 00:19:27,320 --> 00:19:31,119 Speaker 1: grandkids and you hear an argument on this show or 352 00:19:31,160 --> 00:19:33,720 Speaker 1: a segment on this show, and you think, I wish 353 00:19:33,880 --> 00:19:37,120 Speaker 1: my kids or grandkids had heard this, I bet they're 354 00:19:37,160 --> 00:19:40,160 Speaker 1: pretty active on YouTube. You can go subscribe, you can 355 00:19:40,280 --> 00:19:43,560 Speaker 1: share a link with them from YouTube, and you can 356 00:19:43,600 --> 00:19:47,480 Speaker 1: impress your kids or grandkids with your YouTube knowledge. Of course, 357 00:19:47,520 --> 00:19:49,679 Speaker 1: you can always go find us on iTunes as well 358 00:19:50,000 --> 00:19:53,920 Speaker 1: as tens of millions of you are doing already so 359 00:19:53,920 --> 00:19:57,159 Speaker 1: far this year. Now, Buck and I, some of you 360 00:19:57,240 --> 00:20:00,880 Speaker 1: out there continue to not believe that this is real. 361 00:20:01,800 --> 00:20:04,600 Speaker 1: You think to yourself, wait a minute, fifteen days to 362 00:20:04,840 --> 00:20:08,320 Speaker 1: slow the spread. Happen back in March of twenty twenty, 363 00:20:08,840 --> 00:20:13,280 Speaker 1: we're now advancing rapidly. On August of twenty twenty two, 364 00:20:13,800 --> 00:20:17,280 Speaker 1: the midterms are here almost You're thinking to yourself, there's 365 00:20:17,320 --> 00:20:20,040 Speaker 1: no way they're going to bring back COVID. I'm telling 366 00:20:20,040 --> 00:20:25,880 Speaker 1: you you're wrong, and this story is a great sort 367 00:20:25,920 --> 00:20:28,959 Speaker 1: of canary in the coal mine moment for what I 368 00:20:29,000 --> 00:20:31,760 Speaker 1: think is going to happen all over the state of California, 369 00:20:31,840 --> 00:20:35,080 Speaker 1: all over the state of New York, and frankly in 370 00:20:35,200 --> 00:20:39,320 Speaker 1: many blue cities inside of red states. It would not 371 00:20:39,440 --> 00:20:43,840 Speaker 1: shock me if my hometown, unfortunately, of Nashville, decided to 372 00:20:43,840 --> 00:20:47,600 Speaker 1: follow the lead that we're seeing right now in San Diego. 373 00:20:47,920 --> 00:20:51,000 Speaker 1: And what you're also recognizing is the people who are 374 00:20:51,040 --> 00:20:54,320 Speaker 1: making the arguments for the return of COVID and the 375 00:20:54,400 --> 00:20:59,600 Speaker 1: return of masking are not particularly adept at making the 376 00:20:59,680 --> 00:21:04,359 Speaker 1: case for why masks are necessary. Listen here to the 377 00:21:04,400 --> 00:21:08,840 Speaker 1: head of the San Diego School District as she makes 378 00:21:08,880 --> 00:21:12,360 Speaker 1: the argument for why it is necessary. This is Sharon 379 00:21:12,520 --> 00:21:17,160 Speaker 1: Whitehurst pain on what should happen for people who don't 380 00:21:17,240 --> 00:21:19,840 Speaker 1: want to mask when they return to school in San Diego. 381 00:21:19,920 --> 00:21:22,919 Speaker 1: Remember right now it's only for summer school. But what 382 00:21:23,000 --> 00:21:26,160 Speaker 1: should kids do or parents do if they don't want 383 00:21:26,200 --> 00:21:29,800 Speaker 1: their kids wearing masks? Parents who don't want to wear 384 00:21:29,840 --> 00:21:33,080 Speaker 1: a mask indoors in school? Are there any other options 385 00:21:33,160 --> 00:21:36,000 Speaker 1: for them for the fall? There are some options. They 386 00:21:36,000 --> 00:21:41,119 Speaker 1: can go to our school that's online. They can opt 387 00:21:41,200 --> 00:21:43,600 Speaker 1: not to return to the regular school, but to go 388 00:21:43,720 --> 00:21:46,080 Speaker 1: to the school where they don't have to go to 389 00:21:46,119 --> 00:21:50,120 Speaker 1: school at all, other than via zoom And that's the 390 00:21:50,240 --> 00:21:52,800 Speaker 1: easiest way for folks the summer school. What if they 391 00:21:52,800 --> 00:21:55,040 Speaker 1: were already enrolled in the summer school and now they 392 00:21:55,119 --> 00:21:58,320 Speaker 1: get this mask mandate and they're not comfortable with wearing 393 00:21:58,320 --> 00:22:02,280 Speaker 1: a mask, they really should the mask. They're not comfortable, 394 00:22:02,720 --> 00:22:05,520 Speaker 1: what should they do? They should just let make it 395 00:22:05,560 --> 00:22:08,000 Speaker 1: known that they don't feel comfortable and at that point 396 00:22:08,119 --> 00:22:14,959 Speaker 1: just not return ran The experiment with Zoom school, and 397 00:22:15,080 --> 00:22:18,160 Speaker 1: Zoom School is not school. It does not work for kids, 398 00:22:18,240 --> 00:22:24,040 Speaker 1: particularly for kids who do not have well off and 399 00:22:24,920 --> 00:22:29,360 Speaker 1: more educated parents right, particularly for children who need more 400 00:22:29,359 --> 00:22:33,760 Speaker 1: assistance from the school system in person. This idea that 401 00:22:34,040 --> 00:22:36,240 Speaker 1: you better mask up or else your kids aren't even 402 00:22:36,440 --> 00:22:41,040 Speaker 1: welcome in school is cruel. These people are monsters who 403 00:22:41,040 --> 00:22:42,879 Speaker 1: are saying this stuff. I know they think they're the 404 00:22:42,880 --> 00:22:46,120 Speaker 1: good guys, but they're actually not. This was just from 405 00:22:46,119 --> 00:22:49,879 Speaker 1: this morning on the Daily Mail, which is I think 406 00:22:50,000 --> 00:22:53,879 Speaker 1: on a global level, the most read news site in 407 00:22:53,920 --> 00:22:56,200 Speaker 1: the world. I think the Daily Mail. It's it's certainly 408 00:22:56,280 --> 00:22:59,800 Speaker 1: high on the list, maybe it's top five. The astonishing 409 00:23:00,080 --> 00:23:04,600 Speaker 1: data that may prove masks don't work, as COVID cases 410 00:23:04,680 --> 00:23:11,600 Speaker 1: in Singapore and New Zealand overtake Australia despite super strict mandates. 411 00:23:12,040 --> 00:23:17,480 Speaker 1: The quote is they don't match yet again we are 412 00:23:17,560 --> 00:23:22,440 Speaker 1: running in real time. Another experiment where Australia has relaxed 413 00:23:22,480 --> 00:23:26,199 Speaker 1: mask mandates because they realize after a while COVID just 414 00:23:26,320 --> 00:23:29,520 Speaker 1: ripping through everything. What are we even doing. Singapore is 415 00:23:29,560 --> 00:23:32,359 Speaker 1: one of the strictest places in the world for laws 416 00:23:32,520 --> 00:23:36,920 Speaker 1: period and also has super high compliance with the laws 417 00:23:36,960 --> 00:23:42,240 Speaker 1: among the population, and their cases per capita are outstripping 418 00:23:42,520 --> 00:23:47,200 Speaker 1: those in Australia. How does one place with super strict 419 00:23:47,320 --> 00:23:50,600 Speaker 1: masking have more COVID clay than another place just next 420 00:23:50,600 --> 00:23:53,360 Speaker 1: door with no masking. Well, and this is why it's 421 00:23:53,400 --> 00:23:56,520 Speaker 1: disappointing the decision that's being made right now in San Diego, 422 00:23:57,119 --> 00:24:01,080 Speaker 1: because we know in southern California and in Particulier La 423 00:24:01,160 --> 00:24:05,200 Speaker 1: County and Orange County, which have had very different masking requirements, 424 00:24:05,720 --> 00:24:09,960 Speaker 1: have had virtually identical rates of COVID as you would 425 00:24:10,000 --> 00:24:14,040 Speaker 1: expect when there's not some massive wall dividing one county 426 00:24:14,080 --> 00:24:18,000 Speaker 1: from another. These are arbitrary lines very often that you 427 00:24:18,040 --> 00:24:20,560 Speaker 1: wouldn't even know what county you're in if you're driving 428 00:24:20,640 --> 00:24:23,680 Speaker 1: on the four oh five, for instance, in the southern 429 00:24:23,720 --> 00:24:29,400 Speaker 1: California sprawl and Buck what she said is so chilling 430 00:24:29,880 --> 00:24:33,720 Speaker 1: because it's what so many kids are doing. I saw 431 00:24:33,760 --> 00:24:35,959 Speaker 1: the data from New York City. I bet you did too, 432 00:24:36,240 --> 00:24:38,720 Speaker 1: on the number of kids they just lost that just 433 00:24:38,760 --> 00:24:43,159 Speaker 1: are not coming to school anymore. When you, first of all, 434 00:24:43,160 --> 00:24:46,199 Speaker 1: if you're in summer school, let's be honest, you're listening 435 00:24:46,240 --> 00:24:48,320 Speaker 1: to us right now, and you went to summer school. 436 00:24:49,400 --> 00:24:51,960 Speaker 1: For a large majority of you that went, it wasn't 437 00:24:52,000 --> 00:24:55,320 Speaker 1: because you were stellar students. It was because you were 438 00:24:55,400 --> 00:24:58,240 Speaker 1: having to make up for something that happened in the 439 00:24:58,320 --> 00:25:01,560 Speaker 1: prior school year. That's why most kids go to summer school. Okay, 440 00:25:01,840 --> 00:25:04,879 Speaker 1: I'm not talking about advanced you know, governor schools or 441 00:25:05,600 --> 00:25:08,000 Speaker 1: school camps or whatever else. I'm talking about going to 442 00:25:08,040 --> 00:25:10,879 Speaker 1: summer school so you can advance the next grade. Telling 443 00:25:10,920 --> 00:25:12,520 Speaker 1: those kids, hey, if you don't want to a mask, 444 00:25:12,680 --> 00:25:16,120 Speaker 1: just don't come, you're effectively telling many of those kids 445 00:25:16,119 --> 00:25:19,240 Speaker 1: buck Sionara, we don't need you in school. It's the 446 00:25:19,240 --> 00:25:22,000 Speaker 1: exact opposite of what you would want an educator to 447 00:25:22,040 --> 00:25:25,320 Speaker 1: be telling people in this country. And the New York 448 00:25:25,320 --> 00:25:29,280 Speaker 1: City school system is losing thirty thousand, they're projected thirty 449 00:25:29,359 --> 00:25:33,600 Speaker 1: projecting thirty thousand students this fall. They've already lost far 450 00:25:33,720 --> 00:25:37,840 Speaker 1: more than that in the in the previous year of 451 00:25:37,920 --> 00:25:41,320 Speaker 1: over one hundred thousand. I think prior that have been lost, right, 452 00:25:41,400 --> 00:25:43,720 Speaker 1: I mean, it's crazy, it's a it's a big it's 453 00:25:43,720 --> 00:25:46,879 Speaker 1: a big number. But I think of all of the 454 00:25:47,160 --> 00:25:50,680 Speaker 1: school Remember, people are masking in schools. That also doesn't 455 00:25:50,680 --> 00:25:55,119 Speaker 1: mean that they're necessarily masking in you know, grocery stores, restaurants, bars, 456 00:25:55,160 --> 00:25:57,639 Speaker 1: playgroup areas, whatever. Right, when it comes to the kids 457 00:25:58,480 --> 00:26:03,359 Speaker 1: and Spain, just because of Spain, set up the country 458 00:26:03,359 --> 00:26:07,800 Speaker 1: of Spain accidentally in and set up a perfect school 459 00:26:07,840 --> 00:26:10,359 Speaker 1: masking experiment. This is This is the best one I 460 00:26:10,400 --> 00:26:13,720 Speaker 1: think you could find because it's the entire It was nationwide. 461 00:26:14,440 --> 00:26:18,200 Speaker 1: Six and up you had to mask in school, as 462 00:26:18,320 --> 00:26:21,720 Speaker 1: kids five and below you did not have to mask 463 00:26:21,800 --> 00:26:25,480 Speaker 1: in school for the entire school year. Does anyone want 464 00:26:25,520 --> 00:26:28,960 Speaker 1: to guess what the numbers and the reshirts A research 465 00:26:29,119 --> 00:26:34,119 Speaker 1: showed for the four million school age children in Spain, 466 00:26:35,040 --> 00:26:39,840 Speaker 1: no damn difference. None, curve goes up, curve goes down. 467 00:26:40,000 --> 00:26:41,919 Speaker 1: Four year olds get it, six year olds get it, 468 00:26:42,119 --> 00:26:46,440 Speaker 1: No difference whatsoever. They don't even try. Don't even ask 469 00:26:46,480 --> 00:26:49,280 Speaker 1: Fauci try to explain this. He would say, oh, you 470 00:26:49,440 --> 00:26:52,040 Speaker 1: know the data, and he would do the usual razzle 471 00:26:52,160 --> 00:26:55,960 Speaker 1: dazzle of bullcrap. But we ran a huge experiment, I mean, 472 00:26:56,080 --> 00:26:59,200 Speaker 1: in a country with better metrics and much closer data 473 00:26:59,359 --> 00:27:03,119 Speaker 1: watching than we have. And it does nothing. And I 474 00:27:03,200 --> 00:27:06,080 Speaker 1: go to Asheville and I got the blue haired commies 475 00:27:06,480 --> 00:27:10,000 Speaker 1: coming after me like an angry mob online. Well, buck, 476 00:27:10,040 --> 00:27:13,680 Speaker 1: you remember, right after we started this show, I went 477 00:27:13,720 --> 00:27:15,840 Speaker 1: and spoke at my local school board. I got two 478 00:27:15,920 --> 00:27:19,200 Speaker 1: kids in public school, like right here in my hometown. 479 00:27:19,800 --> 00:27:22,679 Speaker 1: And when I said that you didn't need to wear 480 00:27:22,720 --> 00:27:25,879 Speaker 1: a mask and it made no difference, you would have 481 00:27:25,920 --> 00:27:29,560 Speaker 1: thought to the left wing blue checkmark brigade that I 482 00:27:29,600 --> 00:27:32,200 Speaker 1: had just come out and said, like, hey, the sun 483 00:27:32,680 --> 00:27:34,919 Speaker 1: you know doesn't rise in the east and set in 484 00:27:34,960 --> 00:27:38,840 Speaker 1: the west. It was like, how dare you even argue 485 00:27:38,920 --> 00:27:42,520 Speaker 1: against masks? And then we have perfect data here Williamson 486 00:27:42,560 --> 00:27:46,200 Speaker 1: County where I lived, the Franklin Brentwood area, versus Davidson County, 487 00:27:46,200 --> 00:27:50,320 Speaker 1: which is Nashville where I grew up, Absolutely the same 488 00:27:50,600 --> 00:27:54,600 Speaker 1: rates of COVID for kids. Nashville has required masks forever. 489 00:27:55,160 --> 00:27:57,680 Speaker 1: Just south of town. They did not zach same rates 490 00:27:57,680 --> 00:28:00,000 Speaker 1: to COVID. I mean they refuse, but they so easily 491 00:28:00,000 --> 00:28:03,280 Speaker 1: it could. It's important that we know this. Masks hurt 492 00:28:03,359 --> 00:28:08,399 Speaker 1: children developmentally. Masks I think create psychological problems for people. 493 00:28:08,640 --> 00:28:10,960 Speaker 1: I also think you could tie this into the rise 494 00:28:11,000 --> 00:28:14,600 Speaker 1: in criminality that we have. Everybody is walking around without 495 00:28:14,640 --> 00:28:17,439 Speaker 1: their faces being seen or shown on cameras everywhere all 496 00:28:17,440 --> 00:28:20,040 Speaker 1: the time. I think this is horrible for society. I've 497 00:28:20,080 --> 00:28:22,480 Speaker 1: always thought it was horrible. I've never changed my tune 498 00:28:22,520 --> 00:28:24,919 Speaker 1: on that I have hated this when Trump was president, 499 00:28:24,960 --> 00:28:27,480 Speaker 1: and I hated masking when Biden's president, I hated masking. 500 00:28:27,960 --> 00:28:30,040 Speaker 1: They could set up an experiment in New York City 501 00:28:30,119 --> 00:28:33,280 Speaker 1: or Los Angeles, take a hundred schools here, a hundred 502 00:28:33,280 --> 00:28:36,160 Speaker 1: schools there, one with mask one without. But they won't 503 00:28:36,200 --> 00:28:38,960 Speaker 1: do that because they were dangerous for our children. They know, 504 00:28:39,160 --> 00:28:40,800 Speaker 1: even though the chance of any of them dying from 505 00:28:40,800 --> 00:28:43,360 Speaker 1: COVID is one in a million, yea, they know what's 506 00:28:43,360 --> 00:28:45,800 Speaker 1: going to happen, and they know that when that data 507 00:28:45,880 --> 00:28:49,880 Speaker 1: came out that it would be significant because everybody would 508 00:28:49,880 --> 00:28:52,560 Speaker 1: finally say, you've been lying to us for years, and 509 00:28:53,240 --> 00:28:56,160 Speaker 1: my concern On top of this, I'm flying again this weekend. 510 00:28:56,280 --> 00:28:59,320 Speaker 1: I flew this past weekend, buck there were a lot 511 00:28:59,360 --> 00:29:02,440 Speaker 1: more people I saw in the hospital, in the hospitals, 512 00:29:02,440 --> 00:29:06,800 Speaker 1: in the airports wearing masks than I did the previous 513 00:29:06,840 --> 00:29:09,040 Speaker 1: time that I was flying. I fly a lot, and 514 00:29:09,120 --> 00:29:11,640 Speaker 1: I can see an uptick, and I know that the 515 00:29:11,680 --> 00:29:14,480 Speaker 1: Biden administration wants to bring it back. I know they do. 516 00:29:16,280 --> 00:29:19,320 Speaker 1: This morning, when I was there, young people thirty something 517 00:29:19,400 --> 00:29:24,400 Speaker 1: years old and ninety five masks on the treadmill. Oh, 518 00:29:24,440 --> 00:29:26,160 Speaker 1: I mean, you have to be way more likely to 519 00:29:26,200 --> 00:29:29,880 Speaker 1: pass out while wearing a mask like that and breathing 520 00:29:29,920 --> 00:29:32,440 Speaker 1: heavily on a treadmill. You'll never convince me otherwise, or 521 00:29:32,480 --> 00:29:35,200 Speaker 1: kids on the basketball court or running track. For God's sakes, 522 00:29:35,680 --> 00:29:38,560 Speaker 1: If your business has five or more employees and manage 523 00:29:38,600 --> 00:29:40,920 Speaker 1: to make it through COVID, you could be eligible to 524 00:29:40,960 --> 00:29:44,240 Speaker 1: receive a payroll tax rebate of up to twenty six 525 00:29:44,320 --> 00:29:47,680 Speaker 1: thousand dollars per employee. Past couple of years not been easy, 526 00:29:47,720 --> 00:29:51,080 Speaker 1: but here's one tax refund that may help out. Not 527 00:29:51,200 --> 00:29:54,560 Speaker 1: a loan, no payback, just to refund of your taxes. 528 00:29:54,920 --> 00:29:58,040 Speaker 1: Start by going online to get Refunds dot Com. Their 529 00:29:58,080 --> 00:30:02,440 Speaker 1: tax attorneys specialist little known payroll tax refund program. 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No risk, 539 00:30:33,800 --> 00:30:38,920 Speaker 1: high reward, Get refunds dot Com. Welcome back to Clay 540 00:30:38,960 --> 00:30:42,920 Speaker 1: Travis end Buck Saxon Show. I'm Buck, He's Clay. We've 541 00:30:42,920 --> 00:30:45,760 Speaker 1: got allow to talk to you about including the situation 542 00:30:45,760 --> 00:30:47,400 Speaker 1: of crime in New York City here at a few 543 00:30:47,400 --> 00:30:52,200 Speaker 1: moments a big announcement today from the District Attorney's office 544 00:30:52,280 --> 00:30:57,400 Speaker 1: with regard to that Jose Alba case. The bodega worker 545 00:30:57,520 --> 00:31:01,000 Speaker 1: here in New York City, or as doctor Jill Biden 546 00:31:01,040 --> 00:31:06,440 Speaker 1: calls it, the bogada um if you recall, because she's 547 00:31:06,480 --> 00:31:12,040 Speaker 1: like totally down with the bogadas um. But Clay also, 548 00:31:12,200 --> 00:31:14,160 Speaker 1: I don't know if the audience knows this has a 549 00:31:14,280 --> 00:31:17,640 Speaker 1: has a side hustle as a world class analyst of 550 00:31:17,720 --> 00:31:23,200 Speaker 1: Twitter stock he gives me the running the running analysis 551 00:31:23,240 --> 00:31:26,280 Speaker 1: on stocks up, stocks up, you know, five dollars today, Buck. 552 00:31:26,320 --> 00:31:30,000 Speaker 1: I think so he's following very closely. Which is it 553 00:31:30,240 --> 00:31:33,400 Speaker 1: is on my mind right now because there just came down. 554 00:31:33,400 --> 00:31:37,160 Speaker 1: The breaking news here is that a court has fast 555 00:31:37,320 --> 00:31:42,120 Speaker 1: rule do fast track the Twitter the musque trial. Now, Clay, 556 00:31:42,160 --> 00:31:44,280 Speaker 1: other than the fact that I think you could definitely 557 00:31:44,680 --> 00:31:48,520 Speaker 1: throw on some French cuffs Gordon Gecko style and be 558 00:31:48,600 --> 00:31:51,000 Speaker 1: a great broker. Did you ever see Wall Street by 559 00:31:51,040 --> 00:31:52,840 Speaker 1: the way, Oh yeah, of course, one of the one 560 00:31:52,840 --> 00:31:55,200 Speaker 1: of the best eighties I think it's top ten all 561 00:31:55,200 --> 00:31:57,360 Speaker 1: time eighties movies. I even put her to my top ten. Oh, 562 00:31:57,440 --> 00:32:01,600 Speaker 1: Michael Douglas's best role ever. Yes, I think so. Gordon Gecko. 563 00:32:01,680 --> 00:32:04,480 Speaker 1: Which is funny because Oliver Stone talked later about how 564 00:32:05,000 --> 00:32:07,760 Speaker 1: he made the movie with Gecko as the villain and 565 00:32:07,800 --> 00:32:09,760 Speaker 1: then everybody wanted to go work on Wall Street and 566 00:32:09,800 --> 00:32:11,960 Speaker 1: be like Gordon Gecko, which was so you know, greed 567 00:32:12,080 --> 00:32:17,320 Speaker 1: is good apparently. But here's the part of the Twitter saga. Oh. 568 00:32:17,440 --> 00:32:21,640 Speaker 1: Another thing about Elon Musk is that leh is seving 569 00:32:21,760 --> 00:32:25,240 Speaker 1: this thing where you have. Elon's just at the beach. 570 00:32:25,320 --> 00:32:27,160 Speaker 1: He's just trying to hang out. He's got like nine 571 00:32:27,240 --> 00:32:29,360 Speaker 1: kids or something, right, He's got a little bit, a 572 00:32:29,400 --> 00:32:31,040 Speaker 1: little bit of a dad bod. I got a little 573 00:32:31,080 --> 00:32:32,960 Speaker 1: dead body, you know, he got some dad bods out there. 574 00:32:33,000 --> 00:32:37,760 Speaker 1: No big deal. Apparently, you better you better take some 575 00:32:38,360 --> 00:32:41,440 Speaker 1: take some HGH and to spend a few months at 576 00:32:41,480 --> 00:32:43,320 Speaker 1: the gym and do a little tanning before you let 577 00:32:43,360 --> 00:32:46,480 Speaker 1: him take a photo of you. Elon's getting crushed right 578 00:32:46,520 --> 00:32:50,800 Speaker 1: now for his dad bought situation, which I think is unfair. 579 00:32:50,880 --> 00:32:53,640 Speaker 1: The man is a genius. They also have pictures out 580 00:32:53,640 --> 00:32:55,600 Speaker 1: of Alec Baldwin. I mean, we're to the point now 581 00:32:56,360 --> 00:32:59,880 Speaker 1: where if you're fairly famous and you go to the beach, 582 00:33:00,120 --> 00:33:04,040 Speaker 1: somebody's getting a photo U topless and so and so. 583 00:33:04,080 --> 00:33:07,600 Speaker 1: I was looking at the Elon Musk. Elon Musk would 584 00:33:07,640 --> 00:33:09,560 Speaker 1: look a lot better if he were tan. He is 585 00:33:09,600 --> 00:33:12,400 Speaker 1: the He might be the palest human on the planet. 586 00:33:12,480 --> 00:33:15,320 Speaker 1: I'm not sure that Elon Musk has been shirtless outdoors 587 00:33:15,360 --> 00:33:18,480 Speaker 1: based on this photo in fifteen years. And I know 588 00:33:18,560 --> 00:33:20,280 Speaker 1: he's a billionaire, but he might have to spend a 589 00:33:20,320 --> 00:33:25,760 Speaker 1: million on sunscreen because this is the ripest for a sunburn, pale, 590 00:33:25,880 --> 00:33:28,480 Speaker 1: ghostly figure that I have seen in a long time. 591 00:33:28,560 --> 00:33:31,200 Speaker 1: So here, but here's the thing about the Twitter situation 592 00:33:31,360 --> 00:33:36,040 Speaker 1: that you and I both find really interesting. When Elon 593 00:33:36,160 --> 00:33:40,080 Speaker 1: Musk announced that he was and the closest thing that 594 00:33:40,120 --> 00:33:42,680 Speaker 1: we have to a digital town square is Twitter, meaning 595 00:33:42,720 --> 00:33:46,360 Speaker 1: it's the only place where psycho libs. Don't follow me 596 00:33:46,520 --> 00:33:51,840 Speaker 1: on Facebook, Psycho libs don't you know, don't interact with 597 00:33:51,880 --> 00:33:54,880 Speaker 1: people on the right except on Twitter. Really, there's no 598 00:33:54,920 --> 00:33:58,080 Speaker 1: more debates on TV, so it is it is important 599 00:33:58,080 --> 00:34:02,440 Speaker 1: for political discourse. Elon says he's gonna buy Twitter, Clay 600 00:34:02,480 --> 00:34:06,840 Speaker 1: and the Libs they freak out. I mean that you're 601 00:34:06,880 --> 00:34:11,320 Speaker 1: seeing on TikTok. If you're a Biden voter with face tattoos, 602 00:34:11,440 --> 00:34:14,399 Speaker 1: blue hair and a few too many cats who works 603 00:34:14,440 --> 00:34:17,920 Speaker 1: at Twitter, you were crying when Elon said he was 604 00:34:17,960 --> 00:34:21,680 Speaker 1: gonna buy it, and now Twitter is suing to make 605 00:34:21,760 --> 00:34:24,320 Speaker 1: him buy them. And I don't see any of it 606 00:34:24,400 --> 00:34:27,680 Speaker 1: for the crying TikTok videos anymore. What happened? Yeah, so 607 00:34:27,760 --> 00:34:31,000 Speaker 1: this is this is a wild story that there aren't 608 00:34:31,000 --> 00:34:33,600 Speaker 1: a lot of precedents for so Twitter. For people out 609 00:34:33,600 --> 00:34:36,160 Speaker 1: there who don't remember, Elon Musk agreed to buy Twitter 610 00:34:36,239 --> 00:34:38,759 Speaker 1: for fifty four dollars and twenty cents to share. The 611 00:34:38,800 --> 00:34:42,880 Speaker 1: stock price went up close to that stock right, fifty 612 00:34:42,920 --> 00:34:48,000 Speaker 1: dollars in change, and then it plummeted and on Friday, 613 00:34:48,040 --> 00:34:50,040 Speaker 1: I guess it was like ten days ago. Wasn't even 614 00:34:50,080 --> 00:34:53,880 Speaker 1: that long ago. Elon Musk came out not this past Friday, right, 615 00:34:53,880 --> 00:34:56,560 Speaker 1: but the friday before and said, hey, I'm not going 616 00:34:56,680 --> 00:34:59,800 Speaker 1: to buy Twitter, and the stock price fell all the 617 00:34:59,840 --> 00:35:03,359 Speaker 1: way to thirty two dollars basically and a half way 618 00:35:03,400 --> 00:35:06,880 Speaker 1: below the fifty four twenty that he was going to pay. Well, 619 00:35:06,920 --> 00:35:11,480 Speaker 1: since then, there's been a steady buying going on. The 620 00:35:11,520 --> 00:35:14,480 Speaker 1: stock price is now back above forty dollars during the 621 00:35:14,520 --> 00:35:18,160 Speaker 1: course of trading today, and there was just a major 622 00:35:18,320 --> 00:35:21,960 Speaker 1: ruling that came down as we are on air, and 623 00:35:22,000 --> 00:35:25,840 Speaker 1: I'm reading from the Wall Street Journal, the Delaware judge 624 00:35:26,320 --> 00:35:30,000 Speaker 1: has agreed that there is going to be an expedited 625 00:35:30,120 --> 00:35:34,600 Speaker 1: trial in this case, and I'm reading directly, Delaware judge 626 00:35:34,640 --> 00:35:39,440 Speaker 1: approved emotion to expedite Twitter's lawsuit against Elon Musk. Twitter 627 00:35:39,520 --> 00:35:42,719 Speaker 1: is trying to force Elon Musk to comply with the 628 00:35:42,840 --> 00:35:47,000 Speaker 1: terms of this purchase agreement, and they have Now they 629 00:35:47,000 --> 00:35:50,920 Speaker 1: are now going to have a five day October trial 630 00:35:51,840 --> 00:35:55,000 Speaker 1: that will decide whether Elon Musk has to purchase this 631 00:35:55,080 --> 00:35:57,440 Speaker 1: company or not. But my prediction, and I tweeted this 632 00:35:57,440 --> 00:36:00,920 Speaker 1: out almost immediately, is that there ultimately going to settle 633 00:36:01,239 --> 00:36:05,000 Speaker 1: for a bit lower price. But now people are betting 634 00:36:05,040 --> 00:36:08,160 Speaker 1: that Elon Muski is going to be forced to buy Twitter, 635 00:36:08,480 --> 00:36:11,200 Speaker 1: after initially everybody wanted him not to be allowed to 636 00:36:11,239 --> 00:36:13,319 Speaker 1: buy it. Now they want the courts to force him 637 00:36:13,360 --> 00:36:14,880 Speaker 1: to buy it. It's pretty wide. I think he's just 638 00:36:14,920 --> 00:36:17,040 Speaker 1: gonna pay a penalty in a breakup fee. I don't 639 00:36:17,040 --> 00:36:19,320 Speaker 1: think he's gonna end up owning it, which we'll see. 640 00:36:19,400 --> 00:36:23,440 Speaker 1: We'll see. By the way, the Hunter Biden prosecution clock 641 00:36:23,600 --> 00:36:27,120 Speaker 1: is ticking there, mister Clay Travis. So we've only got 642 00:36:27,200 --> 00:36:29,080 Speaker 1: met all this money in Twitter, so I can afford 643 00:36:29,080 --> 00:36:30,839 Speaker 1: to take you out for a steak dinner. There we go, 644 00:36:31,080 --> 00:36:34,880 Speaker 1: these twitters on the rise, folks. Crime is a huge 645 00:36:35,160 --> 00:36:39,440 Speaker 1: issue nationally. The Democrats are weak on it. We know it. 646 00:36:39,960 --> 00:36:43,000 Speaker 1: A big announcement out of a major case in New 647 00:36:43,040 --> 00:36:45,000 Speaker 1: York City. Plus we have the name of the good 648 00:36:45,040 --> 00:36:48,120 Speaker 1: guy with a gun in Indiana from over the weekend 649 00:36:48,239 --> 00:36:55,040 Speaker 1: that's coming up. Play Travis and Buck Sexton on the 650 00:36:55,040 --> 00:36:56,720 Speaker 1: front lines of truth.