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 --> 00:00:07,760 Speaker 1: Sexton Show podcast. Welcome in Friday edition Clay Travis buck 3 00:00:07,800 --> 00:00:11,280 Speaker 1: Sexton Show. We appreciate all of you hanging out with us, 4 00:00:11,400 --> 00:00:15,960 Speaker 1: and boy oh boy, as we sit here eighteen days 5 00:00:16,079 --> 00:00:19,160 Speaker 1: from the midterms, I believe my math is correct in 6 00:00:19,200 --> 00:00:23,160 Speaker 1: that the red wave is building and threatening to turn 7 00:00:23,280 --> 00:00:30,600 Speaker 1: into a red tsunami right now as we speak this morning, 8 00:00:31,320 --> 00:00:35,920 Speaker 1: for the first time in the gaming markets, Blake Masters 9 00:00:36,120 --> 00:00:40,160 Speaker 1: is now the favorite to beat Mark Kelly in Arizona. 10 00:00:40,280 --> 00:00:42,919 Speaker 1: If you look at the board right now, we got 11 00:00:42,920 --> 00:00:45,560 Speaker 1: a great show coming for you as we count down 12 00:00:45,560 --> 00:00:48,400 Speaker 1: the days to the midterms and get you ready. I 13 00:00:48,440 --> 00:00:51,400 Speaker 1: know many of you are already out there voting if 14 00:00:51,479 --> 00:00:54,720 Speaker 1: all of the favorites one in the betting markets, and 15 00:00:54,800 --> 00:00:57,040 Speaker 1: you guys know that I love to analyze the betting 16 00:00:57,040 --> 00:01:00,880 Speaker 1: markets more than I'd like to hear what on television 17 00:01:00,960 --> 00:01:05,000 Speaker 1: might be saying, where is money actually going herschel Walker's 18 00:01:05,000 --> 00:01:07,800 Speaker 1: gonna win in Georgia. We are going to see a 19 00:01:07,840 --> 00:01:12,200 Speaker 1: win for Blake Masters, as I just said in Arizona, 20 00:01:12,520 --> 00:01:16,000 Speaker 1: and Adam Laxalt is going to win in Nevada. Now, 21 00:01:16,000 --> 00:01:19,920 Speaker 1: this still requires all of you going out and voting. 22 00:01:20,400 --> 00:01:23,920 Speaker 1: But the board is expanding, not only in the Senate 23 00:01:24,080 --> 00:01:28,840 Speaker 1: where Baldock is surging right now Hampshire and that might 24 00:01:28,880 --> 00:01:32,080 Speaker 1: be a pickup as well. We've also got Colorado with 25 00:01:32,160 --> 00:01:36,280 Speaker 1: Joe O'Day. We've got Washington with Tiffany Smiley running fantastic 26 00:01:36,360 --> 00:01:39,760 Speaker 1: campaigns there. Those potentially could all be in play. But 27 00:01:39,800 --> 00:01:43,680 Speaker 1: Buck the wicked Witch of the Midwest, Gretchen Whitmer. Real 28 00:01:43,760 --> 00:01:48,360 Speaker 1: Clear Politics now has Tutor Dixon favored to win that race. 29 00:01:48,400 --> 00:01:50,960 Speaker 1: We had Tutor Dixon him was at last week. You've 30 00:01:51,000 --> 00:01:54,400 Speaker 1: got in New York where Leez Eldon is surging against 31 00:01:54,480 --> 00:01:59,840 Speaker 1: Kathy Hokul Christine Dreysen in Oregon. There are a lot 32 00:01:59,840 --> 00:02:03,040 Speaker 1: of possibilities out there. The board is expanding, the red 33 00:02:03,080 --> 00:02:06,040 Speaker 1: wave is growing and threatening to become a red tsunami. 34 00:02:06,080 --> 00:02:08,640 Speaker 1: It's a good day to be on Team Read. Also 35 00:02:08,680 --> 00:02:12,520 Speaker 1: got a new poll out for Scott Jensen, who we 36 00:02:12,560 --> 00:02:16,560 Speaker 1: had on recently Minnesota. Jensen taking the lead in Minnesota. 37 00:02:16,720 --> 00:02:18,959 Speaker 1: It's a narrow lead really within the march of error, 38 00:02:18,960 --> 00:02:21,280 Speaker 1: but just the fact that he's up here is where 39 00:02:21,280 --> 00:02:24,519 Speaker 1: we are. You know, if yesterday Clay my sense of 40 00:02:25,040 --> 00:02:28,760 Speaker 1: the thesis of the day for my thinking was we're 41 00:02:28,800 --> 00:02:31,320 Speaker 1: figuring out whether a majority of the American people cared 42 00:02:31,360 --> 00:02:35,079 Speaker 1: the Democrats were wrong about everything for two years. That's 43 00:02:35,080 --> 00:02:36,960 Speaker 1: what this election is. Doesn't matter they were wrong for 44 00:02:37,000 --> 00:02:38,840 Speaker 1: two years about everything if we all know they were 45 00:02:38,840 --> 00:02:46,640 Speaker 1: wrong the vaccine, crime, immigration, the boarder, the economy. Number one. Now, 46 00:02:46,680 --> 00:02:50,239 Speaker 1: it's to your point about the betting markets. Either we're 47 00:02:50,240 --> 00:02:53,720 Speaker 1: heading into the first time I would I mean certainly 48 00:02:53,760 --> 00:02:59,120 Speaker 1: in memory that Republicans have been overestimated in polls instead 49 00:02:59,120 --> 00:03:02,280 Speaker 1: of being consistent underestimated. It would be the first time 50 00:03:02,320 --> 00:03:06,720 Speaker 1: they've been overestimated. And unless that is happening, this is 51 00:03:06,760 --> 00:03:10,160 Speaker 1: going to be the worst night that Democrats have had. Politically, well, 52 00:03:10,520 --> 00:03:13,960 Speaker 1: Trump Trump hurt them in the inist, you know, Trump 53 00:03:14,000 --> 00:03:16,239 Speaker 1: hurt them in the soul. But in terms of the 54 00:03:16,720 --> 00:03:19,639 Speaker 1: mid term possibilities, obviously two thousand and ten, you're you're 55 00:03:19,639 --> 00:03:21,720 Speaker 1: going back to the Tea party way fear of two 56 00:03:21,720 --> 00:03:25,679 Speaker 1: thousand and ten, which you know people are gonna people 57 00:03:25,680 --> 00:03:27,360 Speaker 1: are gonna be analyzing this a lot of different ways. 58 00:03:27,360 --> 00:03:32,560 Speaker 1: What we've been saying the economy, immigration, crime, you know, 59 00:03:32,600 --> 00:03:35,080 Speaker 1: you look at Texas for example, where now we might 60 00:03:35,120 --> 00:03:37,880 Speaker 1: get it you might get a double digit Abbot win 61 00:03:38,120 --> 00:03:43,040 Speaker 1: over Petou in Texas and the most you know, the 62 00:03:43,080 --> 00:03:47,440 Speaker 1: most important issue in a Texas and a ut pole 63 00:03:47,480 --> 00:03:49,920 Speaker 1: that just came out last night, Clay the most important 64 00:03:49,960 --> 00:03:54,119 Speaker 1: issue in Texas more than the economy illegal immigration. Yeah, 65 00:03:54,120 --> 00:03:57,080 Speaker 1: across the electorate. So this is why it depends. If 66 00:03:57,080 --> 00:04:00,560 Speaker 1: you're in Oregon, it's economy crime. If you're in Texas, 67 00:04:00,680 --> 00:04:03,600 Speaker 1: it's economy border if you're you know. But but those 68 00:04:03,720 --> 00:04:07,160 Speaker 1: the big three are mattering a whole heck of a lot. 69 00:04:08,240 --> 00:04:10,600 Speaker 1: Governor at Santists, by the way, Florida up now is 70 00:04:10,760 --> 00:04:15,120 Speaker 1: the latest. This is eleven points, eleven points on Charlie Chris. 71 00:04:15,160 --> 00:04:17,960 Speaker 1: We gotta get him to a dozen. You know, maybe 72 00:04:17,960 --> 00:04:21,040 Speaker 1: a Baker's doesn't put that put it that in context. 73 00:04:21,200 --> 00:04:26,039 Speaker 1: If Desantist wins by eleven or more, really ten or more, 74 00:04:26,080 --> 00:04:30,159 Speaker 1: but basically for sure eleven or more, it effectively is 75 00:04:30,680 --> 00:04:35,400 Speaker 1: the biggest landslide in Florida for a Republican statewide official 76 00:04:35,839 --> 00:04:38,599 Speaker 1: in modern history. And people say, what does modern history mean? 77 00:04:39,720 --> 00:04:42,520 Speaker 1: It's hard to find all the data on like the 78 00:04:42,640 --> 00:04:46,040 Speaker 1: nineteen twenties, Like I don't know what the Republican Party's 79 00:04:46,040 --> 00:04:48,800 Speaker 1: strength was one hundred years ago. For instance, in Florida, 80 00:04:49,480 --> 00:04:52,880 Speaker 1: what did it look like in nineteen fifty four, Like, 81 00:04:53,000 --> 00:04:56,159 Speaker 1: I have no idea, right, so modern era to me 82 00:04:56,400 --> 00:04:59,160 Speaker 1: is basically from nineteen eighty to the present, the last 83 00:04:59,160 --> 00:05:03,480 Speaker 1: two generations. This is effectively taking Florida off the board 84 00:05:03,839 --> 00:05:08,160 Speaker 1: for Democrats going forward. And I also, and I really 85 00:05:08,240 --> 00:05:13,039 Speaker 1: mean this because COVID and what we saw during COVID 86 00:05:14,040 --> 00:05:19,280 Speaker 1: at some levels shattered my faith in a majority of 87 00:05:19,279 --> 00:05:22,720 Speaker 1: the American people, maybe a bare majority, but there was 88 00:05:22,839 --> 00:05:25,760 Speaker 1: this Now, I don't think it actually was a truly 89 00:05:26,839 --> 00:05:29,200 Speaker 1: it wasn't really about what the numbers were. It was 90 00:05:29,240 --> 00:05:32,320 Speaker 1: about who's in power. It was about CDC, was about Faucius, 91 00:05:32,320 --> 00:05:36,159 Speaker 1: about the media. But we went through this period where 92 00:05:36,800 --> 00:05:41,080 Speaker 1: it just seemed like insanity and the crazies were in charge. 93 00:05:41,520 --> 00:05:43,839 Speaker 1: And while yeah, there's a lot of politics and the 94 00:05:43,839 --> 00:05:47,080 Speaker 1: economy and all that coming into this midterm election, if 95 00:05:47,120 --> 00:05:50,880 Speaker 1: it is what it is looking like right now, it 96 00:05:50,920 --> 00:05:56,039 Speaker 1: feels like a restoration of sanity and reason in America 97 00:05:56,279 --> 00:05:59,440 Speaker 1: after the complete lunacy that we were put through during 98 00:05:59,480 --> 00:06:01,560 Speaker 1: the COVID p yemic. And there we've been saying there's 99 00:06:01,600 --> 00:06:04,080 Speaker 1: no accountability for it. Yet no one's been held to 100 00:06:04,080 --> 00:06:06,560 Speaker 1: account for all the destruction and the misery and the 101 00:06:07,320 --> 00:06:12,760 Speaker 1: just the tyranny that they instituted for two years. And 102 00:06:12,880 --> 00:06:16,560 Speaker 1: now we're in a place to say, actually, a majority 103 00:06:16,560 --> 00:06:20,800 Speaker 1: of the American people, when it matters, are reasonable saying 104 00:06:21,040 --> 00:06:24,880 Speaker 1: and are going to make the right decision. Well and Buck, 105 00:06:25,000 --> 00:06:28,479 Speaker 1: I just keep looking at the Democrat message and it 106 00:06:28,520 --> 00:06:31,480 Speaker 1: feels like they're taking for the overall number one pick 107 00:06:31,600 --> 00:06:36,080 Speaker 1: to use a sports analogy because the CDC coming out 108 00:06:36,200 --> 00:06:40,240 Speaker 1: and bringing COVID back for a lot of parents out there. 109 00:06:40,360 --> 00:06:43,400 Speaker 1: I don't know about you, because you don't have kids yet, 110 00:06:43,640 --> 00:06:48,560 Speaker 1: but my phone blew up with parents furious over the 111 00:06:48,720 --> 00:06:51,479 Speaker 1: idea that the CDC is thinking about mandating the COVID 112 00:06:51,520 --> 00:06:56,039 Speaker 1: shot for their kids. And that idea I think is 113 00:06:56,080 --> 00:06:59,360 Speaker 1: going to be very motivating in places like Minnesota, in 114 00:06:59,440 --> 00:07:03,600 Speaker 1: places like Michigan, states that were shut down because they 115 00:07:03,600 --> 00:07:08,000 Speaker 1: had Democrat governors where kids didn't go to the classroom. 116 00:07:08,040 --> 00:07:11,120 Speaker 1: It just to me has brought back up all of 117 00:07:11,120 --> 00:07:14,560 Speaker 1: that anger that many parents out there feel. And I 118 00:07:14,600 --> 00:07:18,400 Speaker 1: don't think it's a surprise that women, that moms in particular, 119 00:07:18,840 --> 00:07:21,800 Speaker 1: are the ones who are the angriest about this because 120 00:07:21,800 --> 00:07:23,520 Speaker 1: of what they had to take on when their kids 121 00:07:23,560 --> 00:07:27,640 Speaker 1: weren't in school. Well, what this just the discussion within 122 00:07:27,680 --> 00:07:30,640 Speaker 1: the CDC that is underway and this vote they had 123 00:07:30,720 --> 00:07:33,800 Speaker 1: to add it to the suggested schedule, And I think 124 00:07:33,800 --> 00:07:36,040 Speaker 1: it's important how we broke this down. What we learned 125 00:07:36,120 --> 00:07:41,800 Speaker 1: during COVID is this circular lack of accountability, this merry 126 00:07:41,840 --> 00:07:45,600 Speaker 1: go round of nobody's ever accountable for the stupid, tyrannical, 127 00:07:46,000 --> 00:07:50,560 Speaker 1: destructive ideas of Fauciism which was which became a partisan 128 00:07:50,600 --> 00:07:55,880 Speaker 1: Democrat movement Entirely. Parents, I think have realized that at 129 00:07:55,920 --> 00:07:58,160 Speaker 1: this stage. And when I say parents, I mean that 130 00:07:58,200 --> 00:08:02,680 Speaker 1: obviously our audience knows, but more broadly, I think right 131 00:08:03,040 --> 00:08:06,360 Speaker 1: sadly are unaware of the greatness of playing UK on radio. 132 00:08:06,640 --> 00:08:08,720 Speaker 1: There are people out there still, We've got to reach them, 133 00:08:08,720 --> 00:08:11,160 Speaker 1: We're looking for them. But I do think that there 134 00:08:11,200 --> 00:08:15,360 Speaker 1: are parents who see the CDC adding this and playing 135 00:08:15,400 --> 00:08:19,960 Speaker 1: this game still as showing beyond a reasonable doubt, right 136 00:08:20,000 --> 00:08:24,920 Speaker 1: beyond a shadow of a doubt, that politics and big 137 00:08:24,960 --> 00:08:29,480 Speaker 1: Pharma's pockets are more important than what is being forced 138 00:08:29,960 --> 00:08:33,920 Speaker 1: into the bodies of their small children. Right that's a 139 00:08:34,160 --> 00:08:37,559 Speaker 1: when you're forcing people to inject something into their veins, 140 00:08:37,840 --> 00:08:41,839 Speaker 1: to inject something into their arm or whatever. And then 141 00:08:41,880 --> 00:08:44,679 Speaker 1: you realize it's not really about what's best for them, 142 00:08:45,120 --> 00:08:47,680 Speaker 1: but it's about bureaucrats who want to keep their jobs, 143 00:08:47,679 --> 00:08:51,000 Speaker 1: their prestige and the relationship with big pharmas so they 144 00:08:51,000 --> 00:08:52,760 Speaker 1: can even the best thing you can do, remember this 145 00:08:52,960 --> 00:08:55,720 Speaker 1: as a CDC person, is get put on the board 146 00:08:56,120 --> 00:09:00,079 Speaker 1: advisor eventually, of course, right, this is what to be 147 00:09:00,160 --> 00:09:02,920 Speaker 1: a consultant for MODERNA. Of course, then you get to 148 00:09:02,920 --> 00:09:05,640 Speaker 1: buy your Nantucket beach house. Like this is the whole 149 00:09:05,679 --> 00:09:08,559 Speaker 1: game they play. Parents have woken up to a clay. 150 00:09:08,600 --> 00:09:11,080 Speaker 1: It's just too much. It's too obvious now, and I 151 00:09:11,080 --> 00:09:14,839 Speaker 1: think a lot of parents are willing to say it publicly. 152 00:09:15,720 --> 00:09:17,440 Speaker 1: I think there's a lot of parents who still aren't 153 00:09:17,480 --> 00:09:19,880 Speaker 1: willing to say it publicly, though, Buck, And that's why 154 00:09:19,920 --> 00:09:23,120 Speaker 1: I go to the data. Ninety five percent of parents 155 00:09:23,160 --> 00:09:25,520 Speaker 1: of six month old to five year olds have not 156 00:09:25,720 --> 00:09:29,880 Speaker 1: gotten the COVID shot. For those kids. That's a lot 157 00:09:29,920 --> 00:09:33,360 Speaker 1: of Democrats, right, that's a lot of blue checks probably 158 00:09:33,400 --> 00:09:35,800 Speaker 1: who are still lecturing people about how great the COVID 159 00:09:35,840 --> 00:09:39,120 Speaker 1: shots are. So I think there's going to be a 160 00:09:39,160 --> 00:09:41,920 Speaker 1: lot of moms who were worried about what their friends 161 00:09:42,000 --> 00:09:43,920 Speaker 1: might think, and a lot of dads who are worried 162 00:09:43,920 --> 00:09:47,360 Speaker 1: about what their friends might think in liberal enclaves that 163 00:09:47,440 --> 00:09:51,080 Speaker 1: are going to walk into that ballot box and they 164 00:09:51,160 --> 00:09:54,560 Speaker 1: are going to push the Republican button for the first 165 00:09:54,600 --> 00:09:56,640 Speaker 1: time in their lives. I think there's a lot of 166 00:09:56,679 --> 00:10:00,280 Speaker 1: people nationwide listening to us right now who said, you know, 167 00:10:00,520 --> 00:10:03,560 Speaker 1: I voted Democrat my whole life. I never thought I'd 168 00:10:03,559 --> 00:10:06,360 Speaker 1: be listening to a show like Clay and Buck, but 169 00:10:06,640 --> 00:10:09,640 Speaker 1: the whole country has gone insane. Buck. Last night I 170 00:10:09,679 --> 00:10:12,720 Speaker 1: talked to a big group of truckers that are in 171 00:10:12,840 --> 00:10:19,080 Speaker 1: Nashville for their convention, the NaSTA people. It was. It 172 00:10:19,160 --> 00:10:24,480 Speaker 1: was awesome, and they were also fired up still about 173 00:10:24,559 --> 00:10:28,480 Speaker 1: COVID and what was essential and non essential work, and 174 00:10:28,840 --> 00:10:32,000 Speaker 1: they were so fired up to be able to go out. 175 00:10:32,000 --> 00:10:34,360 Speaker 1: These are people from all over the country to get 176 00:10:34,400 --> 00:10:37,120 Speaker 1: their votes in. In radio world, we got a special 177 00:10:37,160 --> 00:10:40,040 Speaker 1: place in our hearts for truckers because a lot of 178 00:10:40,080 --> 00:10:42,680 Speaker 1: truckers across the country are in the three hour a 179 00:10:42,760 --> 00:10:45,120 Speaker 1: day club wean in Clay. They roll with us. You know, 180 00:10:45,200 --> 00:10:48,360 Speaker 1: I've gotten calls for years to get emails from them 181 00:10:48,360 --> 00:10:51,480 Speaker 1: when they're obviously not driving that they'll rock with us. 182 00:10:51,520 --> 00:10:53,520 Speaker 1: They'll roll with us all three hours on the highway. 183 00:10:53,559 --> 00:10:55,520 Speaker 1: So we always think that's super cool. I know there 184 00:10:55,520 --> 00:10:57,280 Speaker 1: are others too who aren't truckers to do that, but 185 00:10:57,320 --> 00:10:59,280 Speaker 1: a lot of truckers are rolling with us for the 186 00:10:59,320 --> 00:11:03,120 Speaker 1: whole show, and I just think that that's there is 187 00:11:03,120 --> 00:11:05,360 Speaker 1: a momentum. It's like we're rolling down the highway right 188 00:11:05,400 --> 00:11:09,600 Speaker 1: now as the GOP. And you would have to have, 189 00:11:09,840 --> 00:11:12,600 Speaker 1: like I said, you would have to have the first 190 00:11:12,640 --> 00:11:19,160 Speaker 1: example of massive overestimation of Republicans chances now and this issue, 191 00:11:19,200 --> 00:11:20,480 Speaker 1: because I know there are people who are like, no, 192 00:11:20,600 --> 00:11:23,640 Speaker 1: shut up, like, don't make it seem like it's no, no, no. 193 00:11:23,640 --> 00:11:26,240 Speaker 1: Now is when you run up the scoreboard. Now is 194 00:11:26,240 --> 00:11:29,800 Speaker 1: when you have the chance the first time, you know, 195 00:11:29,840 --> 00:11:31,640 Speaker 1: in a long time for a lot of people, maybe 196 00:11:31,640 --> 00:11:34,640 Speaker 1: in their lifetime, to vote for the winning team. And 197 00:11:34,679 --> 00:11:38,440 Speaker 1: it really is team Sanity, team reality. Sure they are Republicans, 198 00:11:38,480 --> 00:11:41,800 Speaker 1: just go around. But in places like Minnesota and Oregon 199 00:11:42,040 --> 00:11:45,559 Speaker 1: and New York and Washington State. We had Joe Kent, 200 00:11:45,679 --> 00:11:48,719 Speaker 1: phenomenal candidate on yesterday. I mean, you've got people who 201 00:11:48,720 --> 00:11:52,400 Speaker 1: are running in states and in places where you're not 202 00:11:52,520 --> 00:11:55,720 Speaker 1: voting as it's not a protest vote, it's not doing 203 00:11:55,720 --> 00:11:58,520 Speaker 1: your civic duty vote. It's to join the winning team 204 00:11:58,559 --> 00:12:01,120 Speaker 1: and be part of the revolution back really the counter 205 00:12:01,200 --> 00:12:04,520 Speaker 1: revolution against the commies. That's actually what's underway. Theyre a 206 00:12:04,559 --> 00:12:05,880 Speaker 1: lot let me clear that up, by the way. The 207 00:12:05,960 --> 00:12:09,520 Speaker 1: National Association of Small Trucking Companies, it's who I spoke 208 00:12:09,559 --> 00:12:11,720 Speaker 1: to last night, and they were phenomenal. Met a lot 209 00:12:11,720 --> 00:12:16,000 Speaker 1: of great people there. They're all fired up and buck 210 00:12:16,400 --> 00:12:18,400 Speaker 1: to your point. I think it's a really good one. 211 00:12:18,840 --> 00:12:20,760 Speaker 1: There are a lot of people listening to us right 212 00:12:20,800 --> 00:12:25,000 Speaker 1: now in Portland and Seattle and San Francisco, in LA 213 00:12:25,120 --> 00:12:28,600 Speaker 1: and New York City who have felt like they have 214 00:12:28,720 --> 00:12:32,439 Speaker 1: no voice, and a lot of you Michiganders that are 215 00:12:32,440 --> 00:12:34,160 Speaker 1: listening to us right now that were like, man, we 216 00:12:34,240 --> 00:12:37,120 Speaker 1: got the wicked witch of the Midwest and Gretchen Whitmer 217 00:12:37,640 --> 00:12:40,160 Speaker 1: and we can't get rid of her. And in Minnesota 218 00:12:40,200 --> 00:12:44,320 Speaker 1: you're looking around and saying, we actually had politicians advocating 219 00:12:44,320 --> 00:12:46,720 Speaker 1: to do away with police in the wake of the 220 00:12:46,800 --> 00:12:52,080 Speaker 1: George Floyd incident. This was all complete failure. You have 221 00:12:52,360 --> 00:12:55,319 Speaker 1: the power right now, and what I would say buck is. 222 00:12:55,360 --> 00:12:57,480 Speaker 1: I understand there's still some reticence. I got asked this 223 00:12:57,559 --> 00:13:00,680 Speaker 1: question last night by one of the truckers. He was 224 00:13:00,720 --> 00:13:02,960 Speaker 1: asking me. He's like, man, this a whole rig job 225 00:13:03,000 --> 00:13:05,400 Speaker 1: that happened in twenty twenty has me nervous about voting 226 00:13:05,800 --> 00:13:07,800 Speaker 1: and the analogy that I would make. I made it 227 00:13:07,840 --> 00:13:10,240 Speaker 1: this morning on Dan Dakis' show, who works at OutKick, 228 00:13:10,320 --> 00:13:13,120 Speaker 1: I said, don't allow the referees to decide the game. 229 00:13:13,160 --> 00:13:18,040 Speaker 1: Oh yeah, beat that. Other teams ass so bad that 230 00:13:18,160 --> 00:13:21,359 Speaker 1: even if you're getting three or four flags that are unjustified, 231 00:13:22,000 --> 00:13:24,880 Speaker 1: it's not within the margin of error show up in 232 00:13:24,960 --> 00:13:27,560 Speaker 1: such big numbers that you dominate. You can't let the 233 00:13:27,640 --> 00:13:32,760 Speaker 1: rig job happen. Cheating when you're down ten thousand votes, 234 00:13:32,960 --> 00:13:36,560 Speaker 1: When you're down three thousand votes, that's not that hard, folks. 235 00:13:36,760 --> 00:13:39,679 Speaker 1: It can make it. When you're down fifty one hundred, 236 00:13:39,760 --> 00:13:42,920 Speaker 1: one hundred and fifty five hundred thousand votes gets it 237 00:13:42,920 --> 00:13:46,920 Speaker 1: gets exponentially harder to do without anybody figuring out what's 238 00:13:46,960 --> 00:13:49,240 Speaker 1: going on. So you want to people that are saying, oh, 239 00:13:49,240 --> 00:13:51,960 Speaker 1: how do you trust the system? Flood the zone with 240 00:13:52,120 --> 00:13:55,120 Speaker 1: victory and the system. Will you know that has a 241 00:13:55,200 --> 00:13:58,000 Speaker 1: currency all its own. You score sixty points in a 242 00:13:58,000 --> 00:14:00,480 Speaker 1: football game, you pretty much always win, no matter how 243 00:14:00,480 --> 00:14:02,640 Speaker 1: bad the refereeing is. This needs to be a sixty 244 00:14:02,640 --> 00:14:06,960 Speaker 1: point game. There's something companying about being prepared for anything 245 00:14:07,000 --> 00:14:08,960 Speaker 1: that comes your way. Friends, on the days you allow 246 00:14:09,000 --> 00:14:14,040 Speaker 1: yourself to consider those very frightening outcomes, honestly, you want 247 00:14:14,080 --> 00:14:15,920 Speaker 1: to make sure you took the steps in advance to 248 00:14:16,000 --> 00:14:19,480 Speaker 1: be prepared. Home and flood insurance, for instance, or having 249 00:14:19,480 --> 00:14:21,880 Speaker 1: your car set up with a full tank of gas. 250 00:14:21,920 --> 00:14:24,280 Speaker 1: Some people designate a relative another part of the country 251 00:14:24,280 --> 00:14:26,840 Speaker 1: as the person for everyone to call if you get separated. 252 00:14:27,240 --> 00:14:31,200 Speaker 1: And then there's something else. Emergency supplies of food. It's 253 00:14:31,240 --> 00:14:33,720 Speaker 1: hard to imagine sometimes, but that might be a thing 254 00:14:33,760 --> 00:14:35,640 Speaker 1: you need to prepare for as well, and you need 255 00:14:35,680 --> 00:14:39,120 Speaker 1: to do it before the emergency strikes. The easiest way 256 00:14:39,160 --> 00:14:40,880 Speaker 1: to do this is to rely on the experts at 257 00:14:40,920 --> 00:14:43,600 Speaker 1: my Patriots Supply for the food you'd need in such 258 00:14:43,600 --> 00:14:47,160 Speaker 1: a situation. Go to Prepare with Clay and Buck dot 259 00:14:47,160 --> 00:14:49,920 Speaker 1: com now and you'll save two hundred and fifty dollars 260 00:14:49,920 --> 00:14:53,480 Speaker 1: off a three month emergency food kit from my Patriots Supply. 261 00:14:53,880 --> 00:14:56,800 Speaker 1: You get breakfast, lunch, dinners, drinks, and snacks for three 262 00:14:56,960 --> 00:15:00,560 Speaker 1: solid months per person. It's delicious and easy to prepare. 263 00:15:00,800 --> 00:15:03,080 Speaker 1: At two hundred and fifty dollars off, you can't beat it. 264 00:15:03,400 --> 00:15:06,400 Speaker 1: Go to Prepare with Clay and Buck dot com dot 265 00:15:06,400 --> 00:15:09,840 Speaker 1: com to get your emergency food today, your orderships fast 266 00:15:09,920 --> 00:15:13,160 Speaker 1: and free and unmarked boxes for your privacy. Save two 267 00:15:13,240 --> 00:15:15,920 Speaker 1: hundred and fifty dollars at Prepare with Clay and Buck 268 00:15:15,960 --> 00:15:22,360 Speaker 1: dot com. Again, that's Prepare with Clay and Buck dot com. 269 00:15:22,440 --> 00:15:25,320 Speaker 1: Clay and Buck here, thanks for rolling with us. It's 270 00:15:25,360 --> 00:15:29,440 Speaker 1: looking good. Democrats know it, so it's looking bad for them. 271 00:15:29,520 --> 00:15:32,920 Speaker 1: The arguments they're making seem to just get sillier and sillier, 272 00:15:33,320 --> 00:15:37,320 Speaker 1: I can't even or more and more obvious in their desperation. 273 00:15:37,960 --> 00:15:42,640 Speaker 1: For example, Biden loves to say we created ten ten 274 00:15:42,720 --> 00:15:45,640 Speaker 1: million jobs. Ten ten million, you know, no joke, right 275 00:15:46,120 --> 00:15:47,760 Speaker 1: or whatever the number. I think it's something like that. 276 00:15:48,000 --> 00:15:50,800 Speaker 1: It's like, well, you didn't create those jobs. You just 277 00:15:51,040 --> 00:15:53,680 Speaker 1: stop telling people they weren't allowed to have jobs because 278 00:15:53,720 --> 00:15:56,720 Speaker 1: of you know, a virus that we all got anyway, 279 00:15:56,760 --> 00:15:59,120 Speaker 1: despite all the closures. Now they're doing the same thing 280 00:15:59,160 --> 00:16:02,680 Speaker 1: Clay with the with the deficit. Here's Biden saying Yeah, 281 00:16:02,720 --> 00:16:05,960 Speaker 1: he's a huge deficit hawk. Basically play sixteen. Today, my 282 00:16:06,040 --> 00:16:09,880 Speaker 1: administration announced that this year the deficits fell by one 283 00:16:09,880 --> 00:16:13,680 Speaker 1: point for trillion dollars, the largest one year in job 284 00:16:13,760 --> 00:16:17,120 Speaker 1: in American history. One point four trillion dollars decline in 285 00:16:17,160 --> 00:16:20,480 Speaker 1: the deficit. Let me be clear, this record deficit reduction 286 00:16:20,560 --> 00:16:24,040 Speaker 1: includes the cost of my student loan plan and everything 287 00:16:24,040 --> 00:16:27,520 Speaker 1: else we've paid for. The deficits down one point four 288 00:16:27,600 --> 00:16:32,160 Speaker 1: trillion dollars this year, even after accounting for thirty years 289 00:16:32,240 --> 00:16:35,680 Speaker 1: of debt relief paid in advance. Okay, let's just be 290 00:16:35,760 --> 00:16:38,800 Speaker 1: clear everybody. He is. His game now is to compare 291 00:16:39,000 --> 00:16:42,680 Speaker 1: his spending to the we're shutting down the whole country 292 00:16:42,720 --> 00:16:44,960 Speaker 1: for months and paying people to stay home year of 293 00:16:44,960 --> 00:16:48,240 Speaker 1: the pandemic and act like that's a fair comparison. It is. 294 00:16:48,240 --> 00:16:51,200 Speaker 1: If you don't pay attention, you've been asleep last three years. Yeah, 295 00:16:51,200 --> 00:16:53,400 Speaker 1: and I don't think most people in America buy into 296 00:16:53,440 --> 00:16:56,040 Speaker 1: this crap. First of all, the ten million jobs or 297 00:16:56,080 --> 00:16:58,840 Speaker 1: whatever the heck number they're tossing out there is mostly 298 00:16:58,880 --> 00:17:01,360 Speaker 1: people just going back to jobs that they already had 299 00:17:01,640 --> 00:17:04,119 Speaker 1: because they were finally allowed to go back to work. 300 00:17:04,840 --> 00:17:08,520 Speaker 1: And as you point, out the deficit reduction. First of all, 301 00:17:08,560 --> 00:17:11,960 Speaker 1: we still have a major We're spending far more money 302 00:17:11,960 --> 00:17:15,680 Speaker 1: than we bring in, but it's just a function of 303 00:17:15,720 --> 00:17:20,440 Speaker 1: the pandemic largesse drying up. Finally, and if he had 304 00:17:20,440 --> 00:17:24,160 Speaker 1: gotten all the spending that he wants, even this wouldn't 305 00:17:24,160 --> 00:17:27,880 Speaker 1: be occurring. So he's taking credit for something that occurred 306 00:17:27,920 --> 00:17:30,439 Speaker 1: that he had nothing to do with and that he 307 00:17:30,480 --> 00:17:33,160 Speaker 1: would have made even worse if his own policies had 308 00:17:33,160 --> 00:17:35,840 Speaker 1: been implemented. And this is why I feel, in some 309 00:17:35,960 --> 00:17:40,840 Speaker 1: level buck as if Democrats really are tanking for the 310 00:17:40,960 --> 00:17:43,840 Speaker 1: number one pick like you see happen in sports. They're 311 00:17:43,880 --> 00:17:47,000 Speaker 1: not addressing any of the issues that the American people 312 00:17:47,080 --> 00:17:50,280 Speaker 1: care about at all. They're still on January sixth, they're 313 00:17:50,280 --> 00:17:55,639 Speaker 1: still on threats to democracy. They are lost business owners, 314 00:17:55,720 --> 00:17:58,439 Speaker 1: My friends, we know it's been tough out there, but 315 00:17:58,600 --> 00:18:00,960 Speaker 1: a lot of you are learning about tax refund That 316 00:18:01,119 --> 00:18:04,040 Speaker 1: is real money, talking big money. Some businesses are getting 317 00:18:04,280 --> 00:18:08,280 Speaker 1: hundreds of thousands of dollars back in refunds. Really straightforward. 318 00:18:08,280 --> 00:18:10,600 Speaker 1: If your business has five or more employees, you managed 319 00:18:10,600 --> 00:18:13,280 Speaker 1: to survive COVID, you could be eligible to receive a 320 00:18:13,320 --> 00:18:16,520 Speaker 1: payroll tax rebate of up a twenty six thousand dollars 321 00:18:16,560 --> 00:18:19,360 Speaker 1: per employee. This is not alone, there's no payback. It's 322 00:18:19,359 --> 00:18:21,560 Speaker 1: a refund of your taxes. How do you get your 323 00:18:21,600 --> 00:18:25,080 Speaker 1: business this refund money? Go to get refunds dot Com. 324 00:18:25,119 --> 00:18:28,040 Speaker 1: Their tax attorneys are specialists in this little known payroll 325 00:18:28,080 --> 00:18:30,760 Speaker 1: tax refund program. This is a refund of taxes you've 326 00:18:30,800 --> 00:18:34,760 Speaker 1: already paid that you deserve. Businesses of all types can qualify, 327 00:18:34,960 --> 00:18:37,679 Speaker 1: including those who took PPP, nonprofits, even those who had 328 00:18:37,720 --> 00:18:40,120 Speaker 1: an increase in sales during the pandemic. The team at 329 00:18:40,119 --> 00:18:43,560 Speaker 1: getrefunds dot Com has already returned over a billion dollars 330 00:18:43,560 --> 00:18:46,360 Speaker 1: to businesses. All you have to do go to get 331 00:18:46,480 --> 00:18:49,040 Speaker 1: refunds dot Com, click on qualifying me an answer a 332 00:18:49,080 --> 00:18:51,680 Speaker 1: few questions. It's only available for a limited amount of time, 333 00:18:51,720 --> 00:18:57,480 Speaker 1: so go now Get Refunds dot Com. Welcome back in 334 00:18:57,680 --> 00:19:01,680 Speaker 1: Clay Travis buck Sexton Show. We're talking about the looming 335 00:19:01,800 --> 00:19:04,880 Speaker 1: red wave that may well be turning into a red 336 00:19:04,960 --> 00:19:07,720 Speaker 1: tsunami as we sit here eighteen days out from the 337 00:19:07,760 --> 00:19:10,800 Speaker 1: official midterms. I know many of you out there are 338 00:19:10,880 --> 00:19:13,960 Speaker 1: already voting. We encourage all of you out there to 339 00:19:14,680 --> 00:19:18,760 Speaker 1: get as many different of your friends and family to 340 00:19:18,960 --> 00:19:22,199 Speaker 1: go along to the polls with you, to have conversations 341 00:19:22,240 --> 00:19:25,600 Speaker 1: about why it's important to check the worst president in 342 00:19:25,640 --> 00:19:28,040 Speaker 1: any of our lives, Joe Biden, and not allow him 343 00:19:28,080 --> 00:19:30,879 Speaker 1: to make things worse. Buck, I mentioned this to you, 344 00:19:30,960 --> 00:19:33,200 Speaker 1: I think off air, but I don't believe we discussed 345 00:19:33,200 --> 00:19:36,600 Speaker 1: it on air. We've been talking about crime and how 346 00:19:36,640 --> 00:19:39,240 Speaker 1: it is one of the central issues that is being 347 00:19:39,320 --> 00:19:43,160 Speaker 1: discussed in the closing days of the campaign. This poll 348 00:19:43,240 --> 00:19:47,640 Speaker 1: came out yesterday and I thought it was indicative. Question 349 00:19:47,840 --> 00:19:52,920 Speaker 1: was do you support or oppose the Black Lives Matter movement? 350 00:19:53,960 --> 00:19:57,600 Speaker 1: All the voters out there, do you support or oppose 351 00:19:58,119 --> 00:20:02,879 Speaker 1: Black Lives Matter? In June of twenty twenty one, Black 352 00:20:02,960 --> 00:20:07,120 Speaker 1: Lives Matter had a plus twenty one support level. That's 353 00:20:07,240 --> 00:20:10,520 Speaker 1: right after George Floyd, when every company was sending you 354 00:20:10,560 --> 00:20:14,399 Speaker 1: an email about BLM, when everybody was allowing BLM to 355 00:20:14,480 --> 00:20:18,040 Speaker 1: break all the COVID rules, and the scientists were saying, well, 356 00:20:18,359 --> 00:20:21,200 Speaker 1: we could have hundreds of thousands of people go protests 357 00:20:21,240 --> 00:20:24,000 Speaker 1: because it's more important than COVID, but you couldn't. Kids 358 00:20:24,000 --> 00:20:26,560 Speaker 1: couldn't be in school, and you couldn't go out and 359 00:20:26,640 --> 00:20:31,200 Speaker 1: like hang out with your family. Buck, October twenty twenty two. 360 00:20:32,280 --> 00:20:37,600 Speaker 1: Do you support BLM. It's now minus three. The majority 361 00:20:37,640 --> 00:20:41,080 Speaker 1: of Americans do not support BLM, and I suspect this 362 00:20:41,119 --> 00:20:44,360 Speaker 1: is falling faster. But so that's a twenty four point swing, 363 00:20:44,520 --> 00:20:48,800 Speaker 1: and among Independence it's an even bigger swing, because these 364 00:20:48,800 --> 00:20:50,520 Speaker 1: are people who kind of blow at the wind, I 365 00:20:50,560 --> 00:20:53,560 Speaker 1: would say, to be kind, independence not particularly plugged in. 366 00:20:54,080 --> 00:21:00,480 Speaker 1: They've gone from plus twenty three to fourteen, a thirty 367 00:21:00,640 --> 00:21:03,360 Speaker 1: seven point swing in the middle part of the country. 368 00:21:03,520 --> 00:21:05,360 Speaker 1: These are the people that are fed up with crime. Now. 369 00:21:05,800 --> 00:21:12,800 Speaker 1: BLM made everything worse for everyone. That's that's really the 370 00:21:13,040 --> 00:21:16,520 Speaker 1: that is they headline. That is the reality. BLM made 371 00:21:16,520 --> 00:21:22,720 Speaker 1: everything worse for crime for every community, including the black community. 372 00:21:22,960 --> 00:21:27,120 Speaker 1: BLM made life more difficult for law enforcement officers. BLM 373 00:21:27,160 --> 00:21:30,880 Speaker 1: has made real estate values in major cities go down 374 00:21:30,920 --> 00:21:35,160 Speaker 1: as people are fleeing because of these additional issues of cops. 375 00:21:35,359 --> 00:21:37,960 Speaker 1: I mean, if you look at the Seattle PD, for example, 376 00:21:38,680 --> 00:21:42,400 Speaker 1: they're down like thirty forty percent in police force strength 377 00:21:42,480 --> 00:21:45,720 Speaker 1: in a couple of years. That's catastrophic, Like you can't 378 00:21:45,760 --> 00:21:49,280 Speaker 1: actually have that and expect the city to be at 379 00:21:49,320 --> 00:21:52,600 Speaker 1: any reasonable level of safety. And I think It's interesting, Clay, 380 00:21:52,640 --> 00:21:55,720 Speaker 1: because usually this is where you'd hear and there are 381 00:21:55,760 --> 00:21:58,560 Speaker 1: some there, there are some you know, true believer leftists. 382 00:21:58,600 --> 00:22:00,719 Speaker 1: You go on MSNBC and you're she's like, oh, this 383 00:22:00,800 --> 00:22:04,520 Speaker 1: is just like, well, actually I love the well actually actually, 384 00:22:04,640 --> 00:22:06,359 Speaker 1: you know. And there was this moment I mentioned this 385 00:22:06,440 --> 00:22:08,919 Speaker 1: where the governor of Oklahoma, Kevin Stitt, who we've had 386 00:22:08,960 --> 00:22:12,320 Speaker 1: on the show, his challenger said, well, you know, Oklahoma 387 00:22:12,359 --> 00:22:17,040 Speaker 1: has a higher violent crime rate than New York or California. 388 00:22:17,280 --> 00:22:22,280 Speaker 1: Comparing states doesn't really mean anything. You have to look 389 00:22:22,280 --> 00:22:25,200 Speaker 1: at control of cities. You have to look at Saint 390 00:22:25,280 --> 00:22:29,960 Speaker 1: Louis and Baltimore and New Orleans and Chicago, and you know, 391 00:22:30,000 --> 00:22:31,480 Speaker 1: you go, you go, you look at all these plays 392 00:22:31,480 --> 00:22:34,440 Speaker 1: and Memphis. What he's said in my home states, that's 393 00:22:34,440 --> 00:22:36,800 Speaker 1: what I was in shore for you now because Joe 394 00:22:36,880 --> 00:22:42,760 Speaker 1: Scarborough on MSNBC mister panhandled. Joe, who used to represent 395 00:22:42,960 --> 00:22:46,320 Speaker 1: a part of Florida that I absolutely love, went on 396 00:22:46,400 --> 00:22:49,840 Speaker 1: and made this exact argument that idiot left wingers are 397 00:22:49,880 --> 00:22:53,040 Speaker 1: making now. And he's saying, well, when you actually look 398 00:22:53,040 --> 00:22:56,680 Speaker 1: at the data, red states are far more blot violent 399 00:22:56,800 --> 00:23:00,119 Speaker 1: than blue states. Listen to him, this warning before we 400 00:23:00,160 --> 00:23:03,040 Speaker 1: came to the show, because I've been hearing this so much. 401 00:23:03,560 --> 00:23:08,080 Speaker 1: You also hear from progressives that crime is actually worse 402 00:23:08,200 --> 00:23:11,680 Speaker 1: per capita in red state America, in states that voted 403 00:23:11,720 --> 00:23:14,320 Speaker 1: for Donald Trump. So I actually tweeted out a study 404 00:23:14,359 --> 00:23:18,520 Speaker 1: this morning and I said, this study claims that crime's 405 00:23:18,560 --> 00:23:20,840 Speaker 1: the highest, and eight of the ten states where it's 406 00:23:20,840 --> 00:23:23,879 Speaker 1: the highest, they're red states that voted for Donald Trump. 407 00:23:24,040 --> 00:23:30,679 Speaker 1: Jacksonville had a higher rise of murders than San Francisco, 408 00:23:30,720 --> 00:23:34,480 Speaker 1: despite the fact they're about the s Okay, So Scarborough 409 00:23:34,520 --> 00:23:36,639 Speaker 1: is an idiot here, and I'll just use my state, 410 00:23:36,720 --> 00:23:38,600 Speaker 1: which I bet is one of the states with a 411 00:23:38,680 --> 00:23:41,879 Speaker 1: high crime rate, maybe top ten. So I live in Tennessee, 412 00:23:42,760 --> 00:23:46,280 Speaker 1: the place where crime is out of control in my 413 00:23:46,440 --> 00:23:48,080 Speaker 1: home state of Tennessee. And we got a lot of 414 00:23:48,080 --> 00:23:50,320 Speaker 1: people listening to us right now in Memphis who already 415 00:23:50,320 --> 00:23:52,600 Speaker 1: know what I'm going to say. It's Memphis, Tennessee. Buck. 416 00:23:52,680 --> 00:23:56,160 Speaker 1: We discussed this with that awful Eliza Fletcher murder, which 417 00:23:56,240 --> 00:23:59,520 Speaker 1: crystallized for many people in my state, but also beyond 418 00:23:59,800 --> 00:24:02,159 Speaker 1: the mom goes out for an early morning jog. She 419 00:24:02,200 --> 00:24:05,320 Speaker 1: gets attacked and killed by a guy who should have 420 00:24:05,359 --> 00:24:08,760 Speaker 1: still been in prison. She was a completely innocent victim 421 00:24:08,840 --> 00:24:11,440 Speaker 1: of violent crime that's happening far too often all over 422 00:24:11,480 --> 00:24:16,639 Speaker 1: this country. Memphis only elects Democrats. Memphis is a blue city. 423 00:24:17,080 --> 00:24:21,600 Speaker 1: Everything in Memphis is run by the Democrat Party. It has, 424 00:24:22,040 --> 00:24:26,800 Speaker 1: not surprisingly, the highest rate of violent crime in the country. 425 00:24:26,880 --> 00:24:30,480 Speaker 1: And when you actually look at those red states, as 426 00:24:30,560 --> 00:24:33,600 Speaker 1: Joe Scarborough said, and say, okay, where is the actual 427 00:24:33,680 --> 00:24:41,400 Speaker 1: crime happening, it is overwhelmingly happening in blue run cities, right. 428 00:24:41,760 --> 00:24:44,000 Speaker 1: And so I'm using my home state of Tennessee as 429 00:24:44,040 --> 00:24:47,960 Speaker 1: an example. Most of Tennessee is very safe, but in 430 00:24:48,040 --> 00:24:51,399 Speaker 1: Memphis it is very dangerous. And the state is not 431 00:24:51,520 --> 00:24:54,280 Speaker 1: that big, right. There's six or seven million people who 432 00:24:54,320 --> 00:24:57,080 Speaker 1: live in Tennessee, and a million of those people are 433 00:24:57,080 --> 00:25:00,200 Speaker 1: in the Memphis area. So the Memphis crime stats are 434 00:25:00,200 --> 00:25:02,639 Speaker 1: going to make it look like the whole rest of 435 00:25:02,680 --> 00:25:06,480 Speaker 1: the state of Tennessee is very dangerous. Nashville not as dangerous, 436 00:25:06,520 --> 00:25:10,479 Speaker 1: not as blue as Memphis, Knoxville and Chattanooga, other big cities, 437 00:25:10,680 --> 00:25:14,119 Speaker 1: not as dangerous as Memphis, not as blue dominated. The 438 00:25:14,320 --> 00:25:18,320 Speaker 1: more Democrat control of cities, you have to higher the 439 00:25:18,440 --> 00:25:22,239 Speaker 1: rate of crime almost exclusively across the country. Look, this 440 00:25:22,280 --> 00:25:24,320 Speaker 1: is an argument that they just can't win, which is 441 00:25:24,359 --> 00:25:29,200 Speaker 1: why there's a panic because if they if they do 442 00:25:29,240 --> 00:25:31,399 Speaker 1: the thing that's obvious, which is to say we actually 443 00:25:31,440 --> 00:25:34,880 Speaker 1: support police. Progressive prosecutors have been a huge mistake. They're 444 00:25:34,920 --> 00:25:38,040 Speaker 1: admitting that we've been right all along for them politically, 445 00:25:38,080 --> 00:25:44,000 Speaker 1: that's untenable. It also would aggravate the Democrat woke base. Yes, 446 00:25:44,080 --> 00:25:48,000 Speaker 1: they would be afraid of losing woke white voters. They'd 447 00:25:48,000 --> 00:25:52,280 Speaker 1: be afraid of antagonizing black voters by you know, saying, oh, 448 00:25:52,680 --> 00:25:55,440 Speaker 1: defund police was a bad idea. This is the perception 449 00:25:55,520 --> 00:25:58,440 Speaker 1: of voters too. And this is where it's mostly woke 450 00:25:58,480 --> 00:26:00,960 Speaker 1: white people who live in states. This is this is 451 00:26:00,960 --> 00:26:03,959 Speaker 1: the point, is that that's their perception from the party. 452 00:26:04,359 --> 00:26:07,920 Speaker 1: When you actually go into black communities and say, hey, police, 453 00:26:07,960 --> 00:26:11,760 Speaker 1: would you like more or less police, the numbers are 454 00:26:11,800 --> 00:26:15,119 Speaker 1: like seventy five percent and up saying oh no, we 455 00:26:15,119 --> 00:26:17,440 Speaker 1: actually would like more police. We think that it would 456 00:26:17,480 --> 00:26:20,280 Speaker 1: make this neighborhood safer and we just want to go 457 00:26:20,880 --> 00:26:24,680 Speaker 1: about our lives without being harassed, without without being worried 458 00:26:24,720 --> 00:26:27,960 Speaker 1: about crime. And you know this is you know, man, 459 00:26:28,240 --> 00:26:30,240 Speaker 1: it's amazing. I remember I was reading. I work with 460 00:26:30,280 --> 00:26:32,040 Speaker 1: a guy in the Intel division who wrote a book 461 00:26:32,040 --> 00:26:34,880 Speaker 1: called Blue Blood, and he talked about long time ago. 462 00:26:34,880 --> 00:26:38,240 Speaker 1: Actually they didn't technically use it for the CBS series. 463 00:26:38,240 --> 00:26:39,720 Speaker 1: I think there's a little bit of back and forth there, 464 00:26:39,760 --> 00:26:43,560 Speaker 1: but very similar name. But he was a guy Eddie 465 00:26:43,560 --> 00:26:45,560 Speaker 1: Conlin was his name. I remember in his book he said, 466 00:26:46,200 --> 00:26:49,560 Speaker 1: you know, people forget for everyone who complains about a cop, 467 00:26:49,720 --> 00:26:52,040 Speaker 1: let's say, standing, you know, by the subway entrance in 468 00:26:52,040 --> 00:26:53,719 Speaker 1: New York City, And this is true everywhere. Everyone who 469 00:26:53,720 --> 00:26:55,720 Speaker 1: sees a cop, you know, gassing up his car at 470 00:26:56,920 --> 00:27:01,439 Speaker 1: Bucky's right, does that the place, Yes, still inundated with 471 00:27:01,480 --> 00:27:03,880 Speaker 1: emails about the Bucky's phenomena. But anyway, for everyone who 472 00:27:03,880 --> 00:27:07,520 Speaker 1: sees a cop out there and some person who says, oh, 473 00:27:07,560 --> 00:27:09,520 Speaker 1: you know, that makes me uncomfortable or like, you know, 474 00:27:09,600 --> 00:27:12,159 Speaker 1: cops are part of some oppressive there are a hundred 475 00:27:12,160 --> 00:27:14,720 Speaker 1: people who feel a little bit better, a little bit safer, 476 00:27:15,160 --> 00:27:17,520 Speaker 1: glad that they don't have to worry getting on the 477 00:27:17,520 --> 00:27:20,840 Speaker 1: subway that day. There's someone who has their back. So 478 00:27:20,960 --> 00:27:24,520 Speaker 1: ninety nine percent plus of people in every community are 479 00:27:24,560 --> 00:27:27,280 Speaker 1: actually seeing a cop and thinking of themselves, all right, 480 00:27:27,440 --> 00:27:31,359 Speaker 1: things are there's some back up here like situation, and 481 00:27:31,560 --> 00:27:35,640 Speaker 1: we've been told by the woke white left that this 482 00:27:35,720 --> 00:27:38,760 Speaker 1: is somehow a problem that needs to be addressed, as 483 00:27:38,840 --> 00:27:42,320 Speaker 1: in fewer cops on the streets. It's crazy. Woke white 484 00:27:42,320 --> 00:27:47,800 Speaker 1: people need to be destroyed, I mean, and politically they 485 00:27:47,880 --> 00:27:51,800 Speaker 1: are causing most of the problems that exist in America 486 00:27:51,960 --> 00:27:56,160 Speaker 1: because it is there sort of looking down on black 487 00:27:56,200 --> 00:28:00,000 Speaker 1: and brown communities and saying, oh, you guys are so oppressed, 488 00:28:00,480 --> 00:28:03,480 Speaker 1: let's pull the police out of your neighborhoods. And meanwhile, 489 00:28:03,480 --> 00:28:05,439 Speaker 1: those woke white people a lot of time with their 490 00:28:05,520 --> 00:28:08,960 Speaker 1: kids in private schools, have as many police as they 491 00:28:08,960 --> 00:28:12,120 Speaker 1: can afford in the rich white neighborhoods where they live, 492 00:28:12,720 --> 00:28:15,960 Speaker 1: and they get to go on social media and throw 493 00:28:16,040 --> 00:28:19,680 Speaker 1: up a BLM slogan and feel good about themselves. Meanwhile, 494 00:28:19,720 --> 00:28:22,359 Speaker 1: there are thousands of black people that would actually still 495 00:28:22,400 --> 00:28:25,520 Speaker 1: be alive if police had been able to do their 496 00:28:25,600 --> 00:28:29,960 Speaker 1: jobs in inner city neighborhoods. And black, white, Asian Hispanic 497 00:28:30,040 --> 00:28:35,119 Speaker 1: people of all rational and reasonable and non insane beliefs 498 00:28:35,600 --> 00:28:38,720 Speaker 1: overwhelmingly see this. But the argument, just so you know, 499 00:28:39,160 --> 00:28:42,280 Speaker 1: everybody out there, the left wing argument that Joe Scarborough 500 00:28:42,320 --> 00:28:45,200 Speaker 1: tried to trot out there is failed because it's looking 501 00:28:45,280 --> 00:28:49,400 Speaker 1: at statewide levels when the levels of violent crime are 502 00:28:49,520 --> 00:28:54,000 Speaker 1: overwhelmingly in Democrat run cities where they have taken away 503 00:28:54,040 --> 00:28:57,560 Speaker 1: the ability of police and prosecutors to actually do their jobs. 504 00:28:57,680 --> 00:28:59,240 Speaker 1: I want to tell you about Tunnel of the Towers 505 00:28:59,240 --> 00:29:03,080 Speaker 1: they've been building in Landa Lakes, Florida. It's a great 506 00:29:03,120 --> 00:29:06,400 Speaker 1: new community just outside of Tampa. Tunnel the Towers is 507 00:29:06,440 --> 00:29:09,640 Speaker 1: doing even more for their program recipients. It's all thanks 508 00:29:09,640 --> 00:29:12,880 Speaker 1: to an extraordinary donation of many acres of land and 509 00:29:13,200 --> 00:29:16,320 Speaker 1: your kindness and generosity. It's the first of its kind, 510 00:29:16,360 --> 00:29:18,720 Speaker 1: a community of one hundred and ten homes for the 511 00:29:18,760 --> 00:29:23,360 Speaker 1: Foundations program recipients. These are families of fallen first responders, 512 00:29:23,360 --> 00:29:27,640 Speaker 1: GoldStar families, families of seriously injured first responders, service members, 513 00:29:27,680 --> 00:29:31,760 Speaker 1: all in one community as neighbors, their children playing together, 514 00:29:31,880 --> 00:29:35,600 Speaker 1: growing up together. Loving families are there for one another 515 00:29:35,720 --> 00:29:39,200 Speaker 1: through good and bad times. Help America's greatest heroes and 516 00:29:39,280 --> 00:29:42,600 Speaker 1: their families heal together. With every mortgage free home, the 517 00:29:42,640 --> 00:29:44,960 Speaker 1: Foundation makes good on its promise to do good and 518 00:29:45,040 --> 00:29:49,000 Speaker 1: never forget to sacrifices our nation's greatest heroes have made 519 00:29:49,000 --> 00:29:52,120 Speaker 1: for our country and for our communities. You can join 520 00:29:52,560 --> 00:29:55,560 Speaker 1: Buck and myself and donate just eleven dollars a month 521 00:29:55,600 --> 00:29:58,320 Speaker 1: to tunnel the towers at t twot dot org. We 522 00:29:58,480 --> 00:30:01,240 Speaker 1: did it, and it's such a smart investment and donation. 523 00:30:01,360 --> 00:30:06,760 Speaker 1: That's t the number two t dot org. It would 524 00:30:06,760 --> 00:30:09,719 Speaker 1: get me really excited if this was true, or if 525 00:30:09,720 --> 00:30:12,440 Speaker 1: this does happen. I should say it is reported, so 526 00:30:12,520 --> 00:30:16,400 Speaker 1: it's something that may or may not occur. But welcome 527 00:30:16,440 --> 00:30:18,080 Speaker 1: back to Clay and Buck. By the way, this gets 528 00:30:18,080 --> 00:30:22,720 Speaker 1: to being excited. The prospect of Elon Musk. It has 529 00:30:22,760 --> 00:30:25,280 Speaker 1: been reported and I guess it's from a leak inside 530 00:30:25,320 --> 00:30:28,560 Speaker 1: the Musk camp. Here the richest man in the world 531 00:30:29,160 --> 00:30:33,040 Speaker 1: who will be buying one of the most influential social 532 00:30:33,080 --> 00:30:36,600 Speaker 1: media platforms in the world, Twitter, and it's supposed to 533 00:30:36,720 --> 00:30:41,440 Speaker 1: close in the next week or so. His plan is 534 00:30:41,480 --> 00:30:46,760 Speaker 1: to gut the place. Seventy five percent of Twitter employees 535 00:30:46,880 --> 00:30:50,040 Speaker 1: would be cashier. Now you might think, why would that 536 00:30:50,080 --> 00:30:54,160 Speaker 1: be exciting? Because Twitter started out as a platform and 537 00:30:54,280 --> 00:30:59,160 Speaker 1: became a social justice organization, became effectively a weapon of 538 00:30:59,200 --> 00:31:02,400 Speaker 1: the woke, and it's a place where there are people 539 00:31:02,480 --> 00:31:06,480 Speaker 1: making hundreds of thousands of dollars a year and then 540 00:31:06,560 --> 00:31:09,680 Speaker 1: hiring other people who make that or even more, perhaps 541 00:31:09,720 --> 00:31:12,440 Speaker 1: make even the millions of dollars a year to do 542 00:31:12,880 --> 00:31:17,760 Speaker 1: conversational health and community guidance and all this stuff, which 543 00:31:17,840 --> 00:31:21,480 Speaker 1: is all just fancy talk for a bunch of Libs 544 00:31:21,480 --> 00:31:28,040 Speaker 1: censoring conservatives helping Democrats win elections. That's clay. The fat 545 00:31:28,200 --> 00:31:33,560 Speaker 1: on the bone over at Twitter is massive. Elon obviously 546 00:31:33,640 --> 00:31:36,680 Speaker 1: sees it. And this is how you know, it's the 547 00:31:36,680 --> 00:31:40,080 Speaker 1: same thing. You see this when you're talking about you know, 548 00:31:40,160 --> 00:31:42,880 Speaker 1: schools and what's going on or even the public school system. 549 00:31:42,920 --> 00:31:46,200 Speaker 1: The number of it's not teachers, teachers actually have a job. 550 00:31:46,560 --> 00:31:50,640 Speaker 1: It is administrators within the school system for whom what 551 00:31:50,840 --> 00:31:55,040 Speaker 1: exactly is their role, Oh diversity educators, Oh administrators to 552 00:31:55,080 --> 00:31:58,640 Speaker 1: be the vice chancellor of the vice chancellor, whatever. Those 553 00:31:58,720 --> 00:32:01,560 Speaker 1: There's been an explosion and within the school system of 554 00:32:01,600 --> 00:32:04,600 Speaker 1: those individuals. Same thing in the university system. And that's 555 00:32:04,640 --> 00:32:07,320 Speaker 1: where the wokeness because it's to all these people they 556 00:32:07,360 --> 00:32:11,200 Speaker 1: got nothing to do, their mediocrities at best, and so 557 00:32:11,360 --> 00:32:13,080 Speaker 1: they want to use this as a weapon of politics. 558 00:32:13,160 --> 00:32:16,160 Speaker 1: That is what has happened at Twitter. They've they've larded 559 00:32:16,160 --> 00:32:18,200 Speaker 1: it up with all these people whose jobs are basically 560 00:32:18,320 --> 00:32:21,880 Speaker 1: harass you and me and people in our audience. And 561 00:32:21,960 --> 00:32:25,520 Speaker 1: I look, I generally don't cheer for people's loss of jobs, 562 00:32:25,640 --> 00:32:28,280 Speaker 1: you know, I know it can be really disruptive. All 563 00:32:28,280 --> 00:32:31,000 Speaker 1: these Twitter employees are basically you know, twenty two to 564 00:32:31,280 --> 00:32:34,800 Speaker 1: thirty five, and they're awful and their commies, and they 565 00:32:34,800 --> 00:32:37,640 Speaker 1: deserve to lose their jobs. So I'm a Twitter shareholder 566 00:32:38,360 --> 00:32:40,480 Speaker 1: and have been. I voted for Elon Must to be 567 00:32:40,520 --> 00:32:42,840 Speaker 1: able to purchase the company at fifty four dollars and 568 00:32:42,920 --> 00:32:45,840 Speaker 1: twenty cents of share, and so I'm very hopeful that 569 00:32:45,840 --> 00:32:48,120 Speaker 1: it's going to go through in the next seven days. 570 00:32:48,800 --> 00:32:51,440 Speaker 1: But I think there are a lot of companies out there. 571 00:32:51,480 --> 00:32:55,360 Speaker 1: Certainly our federal government. Buck what percentage of federal government 572 00:32:55,360 --> 00:32:59,920 Speaker 1: employees could lose their jobs without decreasing the efficiency at 573 00:32:59,920 --> 00:33:01,600 Speaker 1: all of the federal guns. I mean, I have a 574 00:33:01,640 --> 00:33:06,240 Speaker 1: particular view into this as a former CIA employee. Ten 575 00:33:06,320 --> 00:33:09,200 Speaker 1: percent of that building does ninety percent of the relevant 576 00:33:09,280 --> 00:33:11,640 Speaker 1: worthwhile work, ten percent of the building that doesn't stun 577 00:33:11,680 --> 00:33:13,800 Speaker 1: me at all. I mean, I think you could come 578 00:33:13,920 --> 00:33:18,360 Speaker 1: through with like just fifty percent firings on the federal 579 00:33:18,400 --> 00:33:22,360 Speaker 1: government workforce and I don't believe that the overall work 580 00:33:22,480 --> 00:33:25,440 Speaker 1: product would be impacted in a negative way. I think 581 00:33:25,480 --> 00:33:29,400 Speaker 1: fifty percent is probably way too kind to still keep 582 00:33:29,440 --> 00:33:32,600 Speaker 1: fifty percent of federal employees. And to your point, Buck, 583 00:33:32,680 --> 00:33:36,600 Speaker 1: there are many hard working federal employees who know exactly 584 00:33:36,640 --> 00:33:38,880 Speaker 1: of which we are speaking, because they look around and 585 00:33:38,960 --> 00:33:41,920 Speaker 1: see the people who don't work very hard in their 586 00:33:41,960 --> 00:33:44,120 Speaker 1: building on a day to day basis, living off a 587 00:33:44,200 --> 00:33:48,880 Speaker 1: taxpayer funded business. This is the benefit of Twitter. If 588 00:33:48,880 --> 00:33:52,400 Speaker 1: Evon Musk buys it and takes it private, he can 589 00:33:52,440 --> 00:33:55,560 Speaker 1: look at the books and I genuinely believe he probably 590 00:33:55,600 --> 00:33:58,760 Speaker 1: can wipe out seventy five percent of the employees there, 591 00:33:59,160 --> 00:34:02,120 Speaker 1: and the over all efficiency of the place will probably 592 00:34:02,200 --> 00:34:06,880 Speaker 1: even increase with even one fourth of the workforce. Oh absolutely. 593 00:34:07,320 --> 00:34:11,600 Speaker 1: And it's interesting as well, this was a scoop from 594 00:34:12,880 --> 00:34:16,000 Speaker 1: I don't know who, Jennifer Bloomberg. I believe with Bloomberg 595 00:34:16,239 --> 00:34:21,319 Speaker 1: the Bloomberg scoop. Biden administration officials are discussing whether the 596 00:34:21,440 --> 00:34:26,360 Speaker 1: US should subject some of Elon Musk's ventures to national 597 00:34:26,480 --> 00:34:33,600 Speaker 1: security reviews, including his deal for Twitter. These because ruthless folks, 598 00:34:33,680 --> 00:34:36,160 Speaker 1: they are obvious, they don't care think about for a 599 00:34:36,200 --> 00:34:38,799 Speaker 1: news running boa Buck, I'm not on Twitter. This is 600 00:34:38,840 --> 00:34:42,799 Speaker 1: how the communicate, you know. This is how the sort 601 00:34:42,840 --> 00:34:48,279 Speaker 1: of content creators and news writers, etc. Communicate with each other. 602 00:34:48,719 --> 00:34:50,680 Speaker 1: This is how a lot of ideas get shared that 603 00:34:50,719 --> 00:34:53,719 Speaker 1: make their way onto other social platforms like Facebook. And 604 00:34:53,760 --> 00:34:57,239 Speaker 1: they're gonna put this under national security review right when 605 00:34:57,280 --> 00:35:01,760 Speaker 1: he's buying it. It's also wild because and remember Elon 606 00:35:01,880 --> 00:35:03,640 Speaker 1: was suing to try to get out of his deal 607 00:35:03,680 --> 00:35:06,640 Speaker 1: because he thought he was paying too much. And so 608 00:35:06,840 --> 00:35:11,800 Speaker 1: imagine the crazy irony if the federal government suddenly swooped 609 00:35:11,840 --> 00:35:15,360 Speaker 1: in and ended Elon Musk's ability to buy the company, 610 00:35:15,800 --> 00:35:19,960 Speaker 1: thereby saving him over forty billion dollars forty four billion, 611 00:35:20,000 --> 00:35:22,400 Speaker 1: I believe is the purchase price, but also in the 612 00:35:22,440 --> 00:35:26,080 Speaker 1: process screwing shareholders like me out of being able to 613 00:35:26,080 --> 00:35:29,840 Speaker 1: sell our stock. Because if Elon were able to walk 614 00:35:29,880 --> 00:35:32,920 Speaker 1: away because the federal government said he couldn't purchase the company, 615 00:35:33,280 --> 00:35:36,400 Speaker 1: the stock price would probably be cut in half overnight, 616 00:35:36,640 --> 00:35:41,719 Speaker 1: maybe even more substantially, and so every Twitter shareholder would 617 00:35:41,840 --> 00:35:46,040 Speaker 1: lose I mean, basically twenty billion dollars in value based 618 00:35:46,040 --> 00:35:50,080 Speaker 1: on the federal government's actions. This isn't They don't care 619 00:35:50,080 --> 00:35:52,120 Speaker 1: about any of that, right. I mean, they're they just 620 00:35:52,160 --> 00:35:54,919 Speaker 1: want power. If they got to make people poorer, that's 621 00:35:54,960 --> 00:35:57,319 Speaker 1: really the Democrat plan. We're gonna make you poorer and 622 00:35:57,400 --> 00:35:59,640 Speaker 1: stay in charge. This is there. If they could have 623 00:35:59,680 --> 00:36:02,120 Speaker 1: a bump sticker for twenty twenty two vote Democrat, we 624 00:36:02,200 --> 00:36:04,560 Speaker 1: make you poor, but we're in charge. I think they 625 00:36:04,600 --> 00:36:07,840 Speaker 1: want to just get it bucked to post mid terms 626 00:36:08,000 --> 00:36:09,600 Speaker 1: so they can at least know that they get the 627 00:36:09,719 --> 00:36:11,719 Speaker 1: rig job all the way through the midterms. That's my 628 00:36:11,800 --> 00:36:14,000 Speaker 1: bed of what the government's doing. It's gonna take a 629 00:36:14,000 --> 00:36:16,839 Speaker 1: lot of broken water pipes at ten pm in those 630 00:36:17,280 --> 00:36:20,719 Speaker 1: election counting areas to turn this thing around from Democrats. 631 00:36:21,000 --> 00:36:23,000 Speaker 1: We're gonna come back here in a second. Though. Speaking 632 00:36:23,040 --> 00:36:26,480 Speaker 1: of the ruthless commies, they're trying to send Steve Bannon, 633 00:36:26,800 --> 00:36:29,520 Speaker 1: formerly of Breitbart, and the Trump White House trying to 634 00:36:29,560 --> 00:36:34,080 Speaker 1: send Bannon to prison for four months. It's absurd, it's crazy. 635 00:36:34,200 --> 00:36:36,720 Speaker 1: But they've also sent somebody else to prison for four months. 636 00:36:36,719 --> 00:36:38,640 Speaker 1: We'll talk about this coming up. Stay with us,