1 00:00:00,520 --> 00:00:01,440 Speaker 1: Welcome in everybody. 2 00:00:01,480 --> 00:00:06,160 Speaker 2: Wednesday edition of The Clay Travis and Buck Sexton Show 3 00:00:06,559 --> 00:00:11,559 Speaker 2: kicks off right now, and I'm happy to say that 4 00:00:11,960 --> 00:00:17,279 Speaker 2: increasingly I find myself a voice of comfort common reason 5 00:00:17,360 --> 00:00:22,160 Speaker 2: for so many of my conservative friends out there. Probably 6 00:00:22,200 --> 00:00:24,640 Speaker 2: not gonna tell anybody names, not going to name the name. 7 00:00:24,800 --> 00:00:27,720 Speaker 2: I'm getting people texting me saying, why are you so confident? 8 00:00:27,760 --> 00:00:31,000 Speaker 2: How can you be so confident that Trump will win? 9 00:00:32,080 --> 00:00:35,599 Speaker 2: And I don't know, just go with my gut. I 10 00:00:35,640 --> 00:00:37,920 Speaker 2: feel it, feel it in my bones, I feel it 11 00:00:37,960 --> 00:00:39,800 Speaker 2: in my toes, I feel it in my soul. 12 00:00:40,159 --> 00:00:42,800 Speaker 1: I believe in Trump. 13 00:00:42,960 --> 00:00:47,440 Speaker 2: I believe in the movement, and I know that right 14 00:00:47,479 --> 00:00:51,880 Speaker 2: now they're trying so hard to make everybody out there 15 00:00:52,360 --> 00:00:56,520 Speaker 2: doubt that Donald Trump can win, and I will not 16 00:00:56,720 --> 00:00:59,000 Speaker 2: fall into that trap. We will look at these numbers, 17 00:00:59,080 --> 00:01:01,640 Speaker 2: We will look at the data as it stands now, 18 00:01:01,680 --> 00:01:05,240 Speaker 2: but also put it in the proper context, look at 19 00:01:05,280 --> 00:01:09,520 Speaker 2: the timeline, look at the momentum and what lies ahead. 20 00:01:10,560 --> 00:01:13,360 Speaker 2: This is a show where we take a deep breath 21 00:01:13,880 --> 00:01:18,640 Speaker 2: and make sure that we are firmly rooted in reality. 22 00:01:18,720 --> 00:01:21,880 Speaker 2: We'll also discuss later on what is the Harris Walls 23 00:01:21,880 --> 00:01:24,959 Speaker 2: foreign policy. My friend Bridge called the brilliant guy and 24 00:01:25,120 --> 00:01:28,679 Speaker 2: just random side note, I think when Bridge was at 25 00:01:28,760 --> 00:01:31,199 Speaker 2: Yale Law School and working in DC for the first time, 26 00:01:31,319 --> 00:01:35,040 Speaker 2: we used to drink together twenty years ago in DC 27 00:01:35,280 --> 00:01:37,400 Speaker 2: when I was a young CIA officer. So here we 28 00:01:37,440 --> 00:01:39,880 Speaker 2: are decades later and we get to hang out on 29 00:01:39,920 --> 00:01:41,320 Speaker 2: the radio and talk to a few million of our 30 00:01:41,360 --> 00:01:42,000 Speaker 2: closest friends. 31 00:01:42,000 --> 00:01:43,520 Speaker 1: It's amazing, what a small world it is. 32 00:01:45,360 --> 00:01:50,840 Speaker 2: We've also got unions. Are they union membership, not the leadership, 33 00:01:50,880 --> 00:01:54,320 Speaker 2: the membership? Are they starting to go for Donald Trump? 34 00:01:54,960 --> 00:01:59,920 Speaker 2: Cover at New York Post? Five billion dollars spent on 35 00:02:00,200 --> 00:02:02,040 Speaker 2: migrants in New York City? 36 00:02:02,120 --> 00:02:07,000 Speaker 1: Five billions. That's where we are now. 37 00:02:07,080 --> 00:02:12,160 Speaker 2: So you have trouble looking at your gas and food 38 00:02:12,440 --> 00:02:15,639 Speaker 2: and rent payments and not having your eyeballs fall out 39 00:02:15,680 --> 00:02:16,120 Speaker 2: of your head. 40 00:02:16,960 --> 00:02:18,920 Speaker 1: Meanwhile, the taxes, and. 41 00:02:18,840 --> 00:02:22,240 Speaker 2: This is especially for our wo R listeners and NYC, 42 00:02:22,639 --> 00:02:24,720 Speaker 2: the taxes you are paying to New York and in 43 00:02:24,840 --> 00:02:30,040 Speaker 2: the New York City Metro are being funneled to make 44 00:02:30,120 --> 00:02:36,240 Speaker 2: sure that illegals are living in four star hotels with 45 00:02:36,800 --> 00:02:42,000 Speaker 2: culturally sensitive meals prepared for them, debit cards handed to 46 00:02:42,040 --> 00:02:44,520 Speaker 2: them in some cases with money on it, and all 47 00:02:44,560 --> 00:02:49,000 Speaker 2: the rest of it, and horrible crimes being committed by 48 00:02:49,000 --> 00:02:52,120 Speaker 2: some of these migrants. I meant to get to the 49 00:02:52,120 --> 00:02:54,120 Speaker 2: story yesterday. I'll get to it today. What happened down 50 00:02:54,120 --> 00:02:57,160 Speaker 2: in Coney Island. I mean, I think should be a 51 00:02:57,240 --> 00:02:59,960 Speaker 2: death penalty offense. Of course that's not going to happen 52 00:03:00,120 --> 00:03:03,480 Speaker 2: in New York. But the violent rape of a woman 53 00:03:04,080 --> 00:03:06,919 Speaker 2: by two illegals, one of whom had already committed a 54 00:03:07,000 --> 00:03:09,520 Speaker 2: violent sexual assault somehow not kicked out of the country. 55 00:03:09,800 --> 00:03:11,560 Speaker 2: You know, I want to dive into that story. And 56 00:03:11,639 --> 00:03:15,519 Speaker 2: also another multiple time offender, this one I believe in 57 00:03:15,919 --> 00:03:21,360 Speaker 2: the Boston area raped a child, a girl, young girl, 58 00:03:21,520 --> 00:03:24,520 Speaker 2: the fourteen years old. I think it was a fifteen 59 00:03:24,560 --> 00:03:28,880 Speaker 2: years old and should have been deported, wasn't deported. And 60 00:03:28,919 --> 00:03:35,080 Speaker 2: you will not believe what the Boston police have done 61 00:03:35,200 --> 00:03:39,400 Speaker 2: with this guy, despite ice, immigrations and customs enforcements saying hey, 62 00:03:39,760 --> 00:03:41,000 Speaker 2: can you hold on to the. 63 00:03:40,960 --> 00:03:42,280 Speaker 1: Serial sexual predator. 64 00:03:42,480 --> 00:03:44,440 Speaker 2: We would like to get rid of him from this 65 00:03:44,600 --> 00:03:47,480 Speaker 2: country and send him back because he's an illegal. 66 00:03:48,600 --> 00:03:51,480 Speaker 1: What do you think Boston PD did? We're going to 67 00:03:51,520 --> 00:03:52,080 Speaker 1: get into all that. 68 00:03:52,240 --> 00:03:58,640 Speaker 2: I will never forget our focus here on immigration, illegal 69 00:03:58,680 --> 00:04:05,960 Speaker 2: immigration as alongside the debt and the just leviath in 70 00:04:06,040 --> 00:04:06,720 Speaker 2: federal government. 71 00:04:06,760 --> 00:04:08,920 Speaker 1: We have the biggest. 72 00:04:08,520 --> 00:04:13,200 Speaker 2: Long term challenge that the country faces to stay as 73 00:04:13,240 --> 00:04:17,440 Speaker 2: it is so ed, to stay a free republic based 74 00:04:17,480 --> 00:04:21,720 Speaker 2: on a constitution and with a shared culture, a shared history. 75 00:04:21,560 --> 00:04:23,200 Speaker 1: And yes, a shared language. 76 00:04:23,520 --> 00:04:27,080 Speaker 2: These are all important, critical things, actually critical building blocks 77 00:04:27,080 --> 00:04:29,800 Speaker 2: for our society. And if they kick at the load 78 00:04:29,839 --> 00:04:33,000 Speaker 2: bearing walls of our civilization as they are doing without 79 00:04:33,080 --> 00:04:34,160 Speaker 2: us pushing back. 80 00:04:34,400 --> 00:04:36,839 Speaker 1: We all know what will happen. But I wanted to. 81 00:04:36,720 --> 00:04:42,200 Speaker 2: Get into this now because I'm happy to calm those 82 00:04:42,279 --> 00:04:48,240 Speaker 2: who are worried and to tell them that it's gonna 83 00:04:48,279 --> 00:04:51,600 Speaker 2: be okay. Trump's gonna win. And if Trump doesn't win, 84 00:04:51,640 --> 00:04:53,600 Speaker 2: it's you know, we'll figure that out too. But I mean, 85 00:04:54,000 --> 00:04:57,159 Speaker 2: it's gonna be okay. Trump's gonna win this thing, all right. 86 00:04:57,279 --> 00:05:00,160 Speaker 2: I have I have faith that he's gonna win. He's 87 00:05:00,160 --> 00:05:02,000 Speaker 2: gonna win solidly. 88 00:05:02,080 --> 00:05:02,320 Speaker 1: I think. 89 00:05:02,440 --> 00:05:05,320 Speaker 2: I'll tell you this. It marked this prediction down. I 90 00:05:05,320 --> 00:05:07,280 Speaker 2: think he's gonna beat Kamala Harris by more than he 91 00:05:07,320 --> 00:05:12,760 Speaker 2: beat Hillary Clinton in twenty sixteen. There you go, who 92 00:05:12,800 --> 00:05:14,880 Speaker 2: would have seen that coming, right? Remember what we felt 93 00:05:14,880 --> 00:05:17,359 Speaker 2: like in twenty sixteen. I think he will beat Kamala 94 00:05:17,360 --> 00:05:19,760 Speaker 2: Harris in the electoral College by a wider margin than 95 00:05:19,760 --> 00:05:20,880 Speaker 2: he beat Hillary Clinton. 96 00:05:20,880 --> 00:05:22,679 Speaker 1: I think that will actually happen this time. 97 00:05:23,440 --> 00:05:25,839 Speaker 2: You can call me crazy, you can call me crazy, 98 00:05:25,880 --> 00:05:30,560 Speaker 2: but I think that that's possible. Maybe that's too bold 99 00:05:30,560 --> 00:05:32,600 Speaker 2: of a prediction, but I do think he's gonna win. 100 00:05:33,600 --> 00:05:35,880 Speaker 2: Maybe I'm walking back my prediction right now as I'm 101 00:05:35,920 --> 00:05:38,840 Speaker 2: thinking about the numbers in my head, but I do 102 00:05:38,880 --> 00:05:40,880 Speaker 2: think he's gonna win. I believe he's gonna win, and 103 00:05:41,000 --> 00:05:42,920 Speaker 2: I think it is rooted in the data. Let's get 104 00:05:42,960 --> 00:05:47,600 Speaker 2: into this, Okay. First of all, CNN, Harry Engine. Look, 105 00:05:47,640 --> 00:05:50,119 Speaker 2: CNN is doing everything they can to make sure that 106 00:05:50,720 --> 00:05:57,400 Speaker 2: the Harris campaign feels and sounds like it has momentum. Remember, 107 00:05:57,440 --> 00:06:01,640 Speaker 2: she's not even really campaigning. The media is campaign for her. 108 00:06:02,880 --> 00:06:10,840 Speaker 2: The media's campaigning for her. Now, CNN's data guy said this, 109 00:06:10,839 --> 00:06:12,760 Speaker 2: This was yesterday, and I'm gonna get to what he's 110 00:06:12,839 --> 00:06:15,560 Speaker 2: said more recently about this. This is yesterday on CNN 111 00:06:15,640 --> 00:06:20,200 Speaker 2: News Central, looking at this New York Times Siena poll. 112 00:06:20,279 --> 00:06:22,919 Speaker 2: But I'm here to tell you don't worry about this poll, 113 00:06:23,000 --> 00:06:24,760 Speaker 2: all right. I don't want to be clear. I don't 114 00:06:24,800 --> 00:06:25,080 Speaker 2: look at the. 115 00:06:25,080 --> 00:06:27,039 Speaker 1: Polls every day. Oh, I'm scared. What are we gonna do? 116 00:06:27,080 --> 00:06:27,800 Speaker 1: It's gonna be fine. 117 00:06:28,800 --> 00:06:32,760 Speaker 2: Here is this guy, Harry Enton talking about Kamala Harris 118 00:06:32,800 --> 00:06:36,040 Speaker 2: and how Democrats shouldn't be over confident. 119 00:06:36,120 --> 00:06:36,840 Speaker 1: This is twenty three. 120 00:06:36,880 --> 00:06:39,919 Speaker 3: Play it in those states dimensioned, those great Lake battleground states, 121 00:06:40,160 --> 00:06:43,560 Speaker 3: Trump was underestimated by nine points on average at this 122 00:06:43,640 --> 00:06:46,279 Speaker 3: point in twenty sixteen. How about twenty twenty. It wasn't 123 00:06:46,279 --> 00:06:48,760 Speaker 3: a one off look at this he was underestimated by. 124 00:06:48,560 --> 00:06:49,720 Speaker 1: Five points on average. 125 00:06:49,760 --> 00:06:52,600 Speaker 3: And of course, Kamala Harris's advantage in those New York 126 00:06:52,600 --> 00:06:55,200 Speaker 3: Times Santa College poles were four points in each of 127 00:06:55,240 --> 00:06:59,240 Speaker 3: these key battleground states Michigan, Pennsylvania, Wisconsin. The bottom line 128 00:06:59,320 --> 00:07:01,720 Speaker 3: is this, if you have any idea, if you're a 129 00:07:01,760 --> 00:07:03,960 Speaker 3: Kamala Harris fan and you want to rip open the 130 00:07:04,040 --> 00:07:05,600 Speaker 3: champagne bottle, pop. 131 00:07:05,360 --> 00:07:08,080 Speaker 1: That quirk, do not do it. Donald Trump is very 132 00:07:08,160 --> 00:07:11,000 Speaker 1: much in this race. If we have a polling shift 133 00:07:11,240 --> 00:07:12,080 Speaker 1: like we've seen. 134 00:07:11,920 --> 00:07:14,440 Speaker 3: In prior years from now until the final result, donald 135 00:07:14,480 --> 00:07:16,560 Speaker 3: Trump would actually win. I'm not saying that's going to happen, 136 00:07:16,720 --> 00:07:19,160 Speaker 3: but I am saying that he is very much in 137 00:07:19,200 --> 00:07:21,040 Speaker 3: this ballgame. Based upon where he is right now and 138 00:07:21,120 --> 00:07:23,520 Speaker 3: compare that to where he was in prior years. 139 00:07:25,440 --> 00:07:27,280 Speaker 2: He's in a better spot than he's been in in 140 00:07:27,320 --> 00:07:30,400 Speaker 2: prior years. I will say, I retract my He'll beat 141 00:07:30,400 --> 00:07:33,480 Speaker 2: her by more than Hillary twenty sixteen. As I'm looking 142 00:07:33,520 --> 00:07:37,160 Speaker 2: at the electoral map, I had forgotten I was going 143 00:07:37,200 --> 00:07:39,520 Speaker 2: off the cuff there. I had forgotten that Trump ran 144 00:07:39,600 --> 00:07:43,240 Speaker 2: the table across the Midwest in twenty sixteen. It was 145 00:07:43,840 --> 00:07:47,160 Speaker 2: remarkable when you look back at it this time around. 146 00:07:47,280 --> 00:07:48,880 Speaker 2: I mean, I'm trying to think of what he could 147 00:07:48,880 --> 00:07:53,120 Speaker 2: win this time that he didn't win in twenty sixteen. 148 00:07:54,280 --> 00:07:56,240 Speaker 2: The only thing that really looks like it could have 149 00:07:56,320 --> 00:07:58,640 Speaker 2: would be Virginia. But I think Kama's going to win Virginia. 150 00:07:58,680 --> 00:08:03,200 Speaker 2: In fact, God, Kamala maybe in some ways a better 151 00:08:03,240 --> 00:08:05,280 Speaker 2: candidate than Biden was for the state of Virginia. So 152 00:08:05,760 --> 00:08:07,800 Speaker 2: scratch that one from the record. But I do think 153 00:08:07,840 --> 00:08:11,000 Speaker 2: that he's going to win. Dude, Maybe he will replicate 154 00:08:11,080 --> 00:08:14,640 Speaker 2: the twenty sixteen electoral map. That would be that would 155 00:08:14,640 --> 00:08:19,000 Speaker 2: be a best case scenario. If he can win Pennsylvania, 156 00:08:19,600 --> 00:08:23,880 Speaker 2: he can win. Oh no, I'm sorry, Nevada. There we go, Nevada. 157 00:08:24,080 --> 00:08:27,200 Speaker 2: I'm looking at the twenty sixteen map right now, he'll 158 00:08:27,240 --> 00:08:29,200 Speaker 2: he could pick up Nevada, which he didn't pick up 159 00:08:29,600 --> 00:08:32,280 Speaker 2: in twenty sixteen, So that would be the one that 160 00:08:32,320 --> 00:08:33,080 Speaker 2: would be a surprise. 161 00:08:33,120 --> 00:08:35,560 Speaker 1: Am I missing anything that else is really on the table? 162 00:08:35,559 --> 00:08:36,160 Speaker 1: I don't think so. 163 00:08:36,200 --> 00:08:39,679 Speaker 2: See, I knew there was something, but yeah, I think 164 00:08:39,679 --> 00:08:41,880 Speaker 2: that he'll get close to what he did before. I 165 00:08:41,880 --> 00:08:43,520 Speaker 2: think the map may look very similar to did in 166 00:08:43,520 --> 00:08:46,240 Speaker 2: twenty sixteen. That would be amazing, but I think it's 167 00:08:46,320 --> 00:08:48,840 Speaker 2: very possible. I think they're trying to tell you Harris 168 00:08:48,880 --> 00:08:50,880 Speaker 2: is in a much stronger position than she is because 169 00:08:50,880 --> 00:08:55,040 Speaker 2: they have to shape perception right away. And I think 170 00:08:55,080 --> 00:08:59,960 Speaker 2: that the the CNN numbers guru there when he's telling 171 00:09:00,000 --> 00:09:03,760 Speaker 2: telling you that they've underestimated Trump's strength in the Midwest 172 00:09:03,760 --> 00:09:08,319 Speaker 2: in the past, I think that they're doing that again. 173 00:09:08,600 --> 00:09:13,280 Speaker 2: That's very likely. And here's why. Comes down to the 174 00:09:13,320 --> 00:09:18,160 Speaker 2: white working class voter. And I cannot foresee a situation 175 00:09:19,000 --> 00:09:23,079 Speaker 2: where Trump, rather where Harris does better with those Midwestern 176 00:09:23,080 --> 00:09:24,040 Speaker 2: white working class. 177 00:09:23,880 --> 00:09:26,120 Speaker 1: Voters than Joe Biden did. 178 00:09:26,800 --> 00:09:29,000 Speaker 2: So now we're focusing back on twenty twenty instead of 179 00:09:29,000 --> 00:09:32,520 Speaker 2: twenty sixteen. Our friend Ryan Gerdusky put this one out. 180 00:09:32,520 --> 00:09:36,760 Speaker 2: For example, in twenty sixteen and twenty twenty, Trump won 181 00:09:37,000 --> 00:09:41,439 Speaker 2: whites without a college degree by thirty six points and 182 00:09:41,600 --> 00:09:46,840 Speaker 2: thirty two points. So there, and Ryan says, quote, there's 183 00:09:46,960 --> 00:09:49,920 Speaker 2: no way she's sliced his lead with those voters in half. 184 00:09:50,000 --> 00:09:52,000 Speaker 2: It just didn't happen. I've talked to Ryan about this. 185 00:09:52,080 --> 00:09:55,120 Speaker 2: I totally agree. I do not believe that there's been 186 00:09:55,120 --> 00:09:57,920 Speaker 2: some huge short For this New York Times Siena poll 187 00:09:58,000 --> 00:10:00,840 Speaker 2: to be accurate, there would have. 188 00:10:00,880 --> 00:10:04,800 Speaker 1: To be a huge surge. 189 00:10:06,800 --> 00:10:10,000 Speaker 2: Of white working class support for Kamala Harris. 190 00:10:10,040 --> 00:10:11,880 Speaker 1: I do not. I just don't buy it. I don't 191 00:10:11,920 --> 00:10:12,319 Speaker 1: buy it. 192 00:10:12,640 --> 00:10:14,880 Speaker 2: But they know people like me have been saying, why 193 00:10:14,920 --> 00:10:17,240 Speaker 2: is Trump going to win white working class voters? So 194 00:10:17,360 --> 00:10:20,040 Speaker 2: this is the way that the numbers can come out 195 00:10:20,080 --> 00:10:25,360 Speaker 2: and look really strong for Harris. I think that this 196 00:10:25,400 --> 00:10:31,640 Speaker 2: is another thing from CNN. Michigan, Pennsylvania, Wisconsin voters. This 197 00:10:31,720 --> 00:10:35,040 Speaker 2: is a percentage of the electorate, Okay, black or Hispanic 198 00:10:35,240 --> 00:10:39,920 Speaker 2: in Michigan, Pennsylvania, Wisconsin. What do you think the percentage 199 00:10:39,920 --> 00:10:43,160 Speaker 2: of black and Hispanic voters in those states is overall. 200 00:10:43,640 --> 00:10:45,160 Speaker 1: Thirteen percent. 201 00:10:46,360 --> 00:10:52,040 Speaker 2: College educated white voters twenty seven percent in those states 202 00:10:52,320 --> 00:10:58,600 Speaker 2: of the electorate non college educated white voters in those states, 203 00:10:59,360 --> 00:11:04,920 Speaker 2: fifty percent of the electorate. That half of the electorate 204 00:11:05,160 --> 00:11:08,920 Speaker 2: determines this election, and a few percentage points in that 205 00:11:09,040 --> 00:11:12,680 Speaker 2: half of the electorate in those swing states is going 206 00:11:12,720 --> 00:11:16,559 Speaker 2: to be determinative. I hope the Trump team is listening. 207 00:11:16,679 --> 00:11:19,199 Speaker 2: I hope they're on the ball on point on this one. 208 00:11:19,240 --> 00:11:22,880 Speaker 2: I hope they're ready to go, because the numbers are 209 00:11:23,040 --> 00:11:25,800 Speaker 2: very clear here. You know, I'm going to tell you 210 00:11:25,840 --> 00:11:29,320 Speaker 2: this Trump team in twenty twenty really focused on trying 211 00:11:29,320 --> 00:11:30,840 Speaker 2: to turn out a little more in the black vote, 212 00:11:30,840 --> 00:11:31,319 Speaker 2: a little more. 213 00:11:31,240 --> 00:11:32,679 Speaker 1: In the Hispanic vote. 214 00:11:33,320 --> 00:11:36,520 Speaker 2: Wasn't a path to victory, wasn't a path of victory, 215 00:11:36,520 --> 00:11:39,440 Speaker 2: and didn't work, not a not any meaningful way. Obviously, 216 00:11:39,480 --> 00:11:43,520 Speaker 2: Biden's been president for four years. So this time around, 217 00:11:43,640 --> 00:11:47,680 Speaker 2: the focus on white working class voters and voter turnout 218 00:11:47,840 --> 00:11:50,440 Speaker 2: among that group is. 219 00:11:50,360 --> 00:11:51,720 Speaker 1: The pathway to victory. 220 00:11:51,840 --> 00:11:56,319 Speaker 2: So for those of you listening in Michigan, Wisconsin, Pennsylvania, 221 00:11:56,720 --> 00:11:59,920 Speaker 2: who are truckers, who are plumbers, who are contractors, who 222 00:12:00,120 --> 00:12:03,800 Speaker 2: are and assuming you're falling into that non college educated, 223 00:12:03,840 --> 00:12:05,360 Speaker 2: which some of you do, some of you don't, but 224 00:12:05,520 --> 00:12:08,559 Speaker 2: the trades, those who make a living with their hands, right, 225 00:12:08,679 --> 00:12:13,440 Speaker 2: not white collar office workers. You get to determine whether 226 00:12:13,480 --> 00:12:16,760 Speaker 2: Kamala Harris is the president or Donald Trump is the president. 227 00:12:17,240 --> 00:12:18,800 Speaker 1: Really, that's what this comes down to. 228 00:12:18,960 --> 00:12:21,080 Speaker 2: So it's a lot of power in your hands and 229 00:12:21,120 --> 00:12:23,240 Speaker 2: your friends and your colleagues and your family. 230 00:12:22,960 --> 00:12:26,559 Speaker 1: Members in those states. That is where it really matters. 231 00:12:26,679 --> 00:12:28,959 Speaker 2: Right now, they're trying to claim Kamala Harris has made 232 00:12:28,960 --> 00:12:31,480 Speaker 2: a huge has made huge inroads with those voters. Let's 233 00:12:31,480 --> 00:12:37,040 Speaker 2: return to that in a moment. I'm open to they 234 00:12:37,120 --> 00:12:41,000 Speaker 2: just the poll isn't very good as an argument, but 235 00:12:41,120 --> 00:12:43,600 Speaker 2: I also feel like that's a little too convenient, isn't it. 236 00:12:44,160 --> 00:12:48,240 Speaker 2: They're suddenly running these really really important numbers that are 237 00:12:48,559 --> 00:12:52,120 Speaker 2: skewing toward Harris in this way. I'm just I was 238 00:12:52,160 --> 00:12:55,000 Speaker 2: thinking about twenty sixteen. I'm getting a twenty sixteen tingle here. 239 00:12:56,679 --> 00:12:58,839 Speaker 2: And I understand, up to this point, we've said the polls, 240 00:12:58,840 --> 00:13:01,640 Speaker 2: the polls, the polls. Well, yeah, but that's because both sides. 241 00:13:02,480 --> 00:13:05,640 Speaker 2: It was understandable that both sides would see the polls 242 00:13:05,679 --> 00:13:08,120 Speaker 2: as accurate because they wanted Biden to be gone and 243 00:13:08,160 --> 00:13:11,760 Speaker 2: it was so obvious that they couldn't. You can shade things, 244 00:13:11,880 --> 00:13:17,319 Speaker 2: four percent, three percent, you know, maybe maybe five percent. 245 00:13:18,160 --> 00:13:18,560 Speaker 1: You can't. 246 00:13:18,800 --> 00:13:20,959 Speaker 2: Biden was falling off a cliff. I mean, Biden was 247 00:13:21,000 --> 00:13:24,560 Speaker 2: going to lose New Jersey. So yeah, there's no there's 248 00:13:24,559 --> 00:13:27,120 Speaker 2: no way that you can cover that up in polling data. 249 00:13:27,200 --> 00:13:31,080 Speaker 2: But right now are they playing around with the numbers. 250 00:13:30,720 --> 00:13:31,199 Speaker 1: A little bit? 251 00:13:31,559 --> 00:13:34,360 Speaker 2: Well, they're playing They're changing everything about Harris's record, They're 252 00:13:34,440 --> 00:13:36,360 Speaker 2: hiding her from the public. They're doing everything they can 253 00:13:36,440 --> 00:13:39,240 Speaker 2: to make sure that she's the president, no matter what 254 00:13:39,320 --> 00:13:46,640 Speaker 2: kind of see dissembling lies that they have to tell. 255 00:13:47,400 --> 00:13:50,560 Speaker 2: So will they manipulate the numbers the data, Yeah, I'm 256 00:13:50,600 --> 00:13:52,200 Speaker 2: sure they will. Let's get into this. I want to 257 00:13:52,200 --> 00:13:54,920 Speaker 2: hear your thoughts on this as well. And also we're 258 00:13:54,920 --> 00:13:56,960 Speaker 2: going to talk about Tim Walls and what he did 259 00:13:57,600 --> 00:14:01,920 Speaker 2: during the BLM riots, shooting at people with paintball guns 260 00:14:01,960 --> 00:14:03,599 Speaker 2: to get them to go inside when they were just 261 00:14:03,600 --> 00:14:07,240 Speaker 2: standing outside of their own homes, on their own property. 262 00:14:07,320 --> 00:14:13,760 Speaker 2: This guy's a totalitarian wacko. Tim Walls is a totalitarian wacko. 263 00:14:15,240 --> 00:14:16,040 Speaker 1: We'll get back to that. 264 00:14:17,320 --> 00:14:20,280 Speaker 2: I don't know which is worse student loan forgiveness program 265 00:14:20,280 --> 00:14:23,280 Speaker 2: that Biden is doing unconstitutionally or the scammers who are 266 00:14:23,320 --> 00:14:26,240 Speaker 2: taking advantage of it. Cyber thieves are going so far 267 00:14:26,280 --> 00:14:28,800 Speaker 2: as to impersonate the Department of Education to steal from 268 00:14:28,840 --> 00:14:31,520 Speaker 2: would be recipients. It's the latest example I can think 269 00:14:31,560 --> 00:14:33,880 Speaker 2: of to portray the lengths that online scammers will go 270 00:14:33,920 --> 00:14:35,840 Speaker 2: to you to get a hold of your online identity. 271 00:14:36,120 --> 00:14:38,960 Speaker 2: It's important to understand how cybercrime and identity theft are 272 00:14:38,960 --> 00:14:42,560 Speaker 2: affecting our lives. Lots of places can accidentally expose your 273 00:14:42,560 --> 00:14:46,200 Speaker 2: personal information. That's why LifeLock monitors millions of data points 274 00:14:46,240 --> 00:14:49,240 Speaker 2: a second for risks to your online identity. LifeLock to 275 00:14:49,280 --> 00:14:51,760 Speaker 2: text and alerts you to potential identity threats. 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Join now and save up to 285 00:15:15,400 --> 00:15:18,240 Speaker 2: forty percent off your first year with my name Buck 286 00:15:18,280 --> 00:15:22,400 Speaker 2: as your promo code. Call one eight hundred LifeLock or 287 00:15:22,440 --> 00:15:25,280 Speaker 2: go online to LifeLock dot com and use promo code 288 00:15:25,320 --> 00:15:27,480 Speaker 2: Buck for forty percent off. 289 00:15:28,280 --> 00:15:31,600 Speaker 1: News you can count on and some laughs too. 290 00:15:31,880 --> 00:15:33,880 Speaker 2: Clay Travis and Buck Sexton. 291 00:15:34,000 --> 00:15:37,280 Speaker 4: Find them on the free iHeartRadio app or wherever you 292 00:15:37,440 --> 00:15:38,520 Speaker 4: get your podcasts. 293 00:15:38,520 --> 00:15:41,520 Speaker 1: All right, welcome back in. So we're talking about how Trump. 294 00:15:41,360 --> 00:15:45,000 Speaker 2: Wins maybe the theme of today's show, how Trump wins 295 00:15:45,360 --> 00:15:48,880 Speaker 2: white working class voters Michigan, Pennsylvania, Wisconsin. 296 00:15:50,600 --> 00:15:53,120 Speaker 1: Will Trump run the table on those states and also. 297 00:15:52,880 --> 00:15:55,160 Speaker 2: Throw Nevada in the mix, in which case he would 298 00:15:55,200 --> 00:15:59,600 Speaker 2: actually get more than he did in twenty sixteen, and 299 00:15:59,600 --> 00:16:01,520 Speaker 2: that would be amazing. And I think I do think 300 00:16:01,560 --> 00:16:04,680 Speaker 2: it's possible. I think it's possible. Maybe that's overly optimistic, 301 00:16:04,760 --> 00:16:07,400 Speaker 2: but I don't know. I just got a feeling about 302 00:16:07,400 --> 00:16:10,160 Speaker 2: this one. And I don't usually just run with it 303 00:16:10,240 --> 00:16:11,640 Speaker 2: like that, but I got a feeling about this one. 304 00:16:11,640 --> 00:16:15,640 Speaker 2: I feel very confident, a quiet, cool confidence about Trump, 305 00:16:15,680 --> 00:16:19,440 Speaker 2: and it's based in the numbers. Now, same CNN guy 306 00:16:19,480 --> 00:16:22,320 Speaker 2: Harry Enton is out there telling everybody that Kamala is 307 00:16:23,920 --> 00:16:27,640 Speaker 2: surging with white working class voters. I want to talk 308 00:16:27,680 --> 00:16:28,720 Speaker 2: to you about this play. 309 00:16:28,800 --> 00:16:32,080 Speaker 3: Nine white working class voters, white voters without a college street. 310 00:16:32,120 --> 00:16:34,480 Speaker 3: That is Donald Trump's core group. That was the reason 311 00:16:34,520 --> 00:16:36,880 Speaker 3: why he was able to break down that giant blue 312 00:16:36,920 --> 00:16:41,000 Speaker 3: wall Michigan, Pennsylvania, Wisconsin, in the Great Lakes. And look 313 00:16:41,040 --> 00:16:43,680 Speaker 3: at their support now versus where we were a few 314 00:16:43,760 --> 00:16:46,440 Speaker 3: months ago when the matchup was between Donald Trump and 315 00:16:46,520 --> 00:16:49,280 Speaker 3: Joe Biden. Look, Donald Trump still leads, but look at 316 00:16:49,280 --> 00:16:52,080 Speaker 3: that margin. It has shrunk significantly. It was twenty five 317 00:16:52,120 --> 00:16:55,040 Speaker 3: points back in May. It is now fourteen points now 318 00:16:55,080 --> 00:16:58,040 Speaker 3: here in August nearly been sliced by half. Those numbers 319 00:16:58,040 --> 00:17:00,360 Speaker 3: that Harris is putting up amongst that group right now 320 00:17:00,480 --> 00:17:03,520 Speaker 3: are actually slightly better than Joe Biden did four years 321 00:17:03,560 --> 00:17:06,480 Speaker 3: ago amongst those voters in those key states. Those are 322 00:17:06,480 --> 00:17:08,640 Speaker 3: the types of numbers that Kamala Harris needs to put 323 00:17:08,720 --> 00:17:09,600 Speaker 3: up in order to win. 324 00:17:11,200 --> 00:17:14,280 Speaker 2: She's not going to put up those numbers, Hey, mark 325 00:17:14,359 --> 00:17:16,800 Speaker 2: my ware, that's not going to happen. You're not going 326 00:17:16,880 --> 00:17:20,000 Speaker 2: to have Trump win whites without a college degree by 327 00:17:20,040 --> 00:17:23,479 Speaker 2: thirty six points in twenty sixteen and thirty two points 328 00:17:23,520 --> 00:17:27,040 Speaker 2: in twenty twenty, and then all of a sudden he you. 329 00:17:27,000 --> 00:17:28,679 Speaker 1: Know he wins them by ten points. 330 00:17:28,680 --> 00:17:31,879 Speaker 2: Now because Kamala Harris is running no chance or twelve 331 00:17:31,880 --> 00:17:34,800 Speaker 2: points or whatever, they're saying, no chance, it's not going 332 00:17:34,880 --> 00:17:39,440 Speaker 2: to happen. So I'm not buying it. And because I'm 333 00:17:39,480 --> 00:17:42,440 Speaker 2: not buying it, still very confident. But we'll get into 334 00:17:42,440 --> 00:17:44,840 Speaker 2: more of why why do I think that Trump is 335 00:17:44,920 --> 00:17:48,159 Speaker 2: in good stead with that group? Also take your calls 336 00:17:48,320 --> 00:17:50,560 Speaker 2: on this issue eight hundred two A two two eight 337 00:17:50,560 --> 00:17:54,080 Speaker 2: A two stay with us. Look head your bet. It's 338 00:17:54,080 --> 00:17:57,320 Speaker 2: a phrase that's been used for ages to remind you 339 00:17:57,400 --> 00:18:00,240 Speaker 2: not to be totally reliant on one thing. And you 340 00:18:00,280 --> 00:18:02,080 Speaker 2: hear me say that gold has been a hedge against 341 00:18:02,119 --> 00:18:04,680 Speaker 2: inflation for twenty years. It means your saved dollars are 342 00:18:04,760 --> 00:18:08,400 Speaker 2: losing value while the price of gold goes up. 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Try Birch Gold 358 00:18:54,880 --> 00:18:56,280 Speaker 2: today text Buck. 359 00:18:56,080 --> 00:18:57,360 Speaker 1: To nine eight nine eight nine eight. 360 00:18:57,400 --> 00:19:01,240 Speaker 5: The problem is he's up against a younger, more dynamic 361 00:19:01,480 --> 00:19:04,480 Speaker 5: woman who has revitalized the Democratic Party. He does not 362 00:19:04,720 --> 00:19:07,040 Speaker 5: know what to do, so he's falling back on the 363 00:19:07,080 --> 00:19:10,639 Speaker 5: same kind of insults and denigration and decision and I 364 00:19:10,680 --> 00:19:12,399 Speaker 5: don't think it's working. I don't think it's gonna work, 365 00:19:12,400 --> 00:19:14,119 Speaker 5: and the Democrats need to be very careful en not 366 00:19:14,200 --> 00:19:16,600 Speaker 5: to fall into that trap. But I just don't see that. 367 00:19:16,920 --> 00:19:19,840 Speaker 5: It's why he's so desperate. Honestly, I feel bad for 368 00:19:19,880 --> 00:19:22,680 Speaker 5: the woman, Suzy Wilds, who's running this campaign. I don't 369 00:19:22,720 --> 00:19:24,560 Speaker 5: know her, but she seems like a total pro and 370 00:19:24,640 --> 00:19:26,920 Speaker 5: I can tell when she's in charge. They actually seem 371 00:19:26,920 --> 00:19:28,720 Speaker 5: to be doing well, and they talk about issues like 372 00:19:28,760 --> 00:19:30,080 Speaker 5: Jennings is trying to talk about. 373 00:19:29,880 --> 00:19:32,800 Speaker 1: Immigration, okay, but when Trump is in charge. 374 00:19:32,480 --> 00:19:36,399 Speaker 5: It's just this nutty at best and racist at worst 375 00:19:36,560 --> 00:19:37,959 Speaker 5: of pure Trump. 376 00:19:38,960 --> 00:19:41,080 Speaker 2: I'm gonna tell you something that was Paul mgala, And 377 00:19:41,440 --> 00:19:46,800 Speaker 2: the more he is telling us how great Kamala Harris 378 00:19:46,840 --> 00:19:48,760 Speaker 2: is and how confident he's in her strategy, the better 379 00:19:48,800 --> 00:19:49,400 Speaker 2: I feel. 380 00:19:49,200 --> 00:19:51,840 Speaker 1: About Trump's chances. That's why I played that for you. 381 00:19:51,840 --> 00:19:52,040 Speaker 5: You know. 382 00:19:52,560 --> 00:19:55,600 Speaker 1: You know there's that guy Kramer was like, hey, buy 383 00:19:55,640 --> 00:19:57,000 Speaker 1: and sell this stock, and he's. 384 00:19:57,080 --> 00:19:58,919 Speaker 2: Got the hungh hunk and all the different you know, 385 00:19:59,000 --> 00:20:01,200 Speaker 2: noises and stuff, very famous, the NBC guy. 386 00:20:01,640 --> 00:20:02,880 Speaker 1: And people have talked about. 387 00:20:02,640 --> 00:20:05,520 Speaker 2: The reverse Kramer fund, where you do whatever he says 388 00:20:05,520 --> 00:20:07,360 Speaker 2: to buy, you sell, or whatever he says to sell 389 00:20:07,400 --> 00:20:09,160 Speaker 2: you buy. And I don't know how that's really done 390 00:20:09,160 --> 00:20:11,680 Speaker 2: over time, but it's kind of an ongoing joke among 391 00:20:11,720 --> 00:20:15,880 Speaker 2: those who are placing bets in the markets. I feel 392 00:20:15,920 --> 00:20:17,640 Speaker 2: that way about Paul mcgalla and a lot of these 393 00:20:17,720 --> 00:20:22,879 Speaker 2: old Clinton era political political hacks, especially when they come 394 00:20:22,920 --> 00:20:24,879 Speaker 2: forward to tell you how great Kamala Harris is. 395 00:20:25,200 --> 00:20:27,400 Speaker 1: Were they saying Kamala Harris was great six months ago. 396 00:20:27,960 --> 00:20:31,800 Speaker 2: Oh, she's dynamic and revitalized the They were trying to 397 00:20:31,920 --> 00:20:36,399 Speaker 2: find an excuse to boot her off the Democrat ticket 398 00:20:36,480 --> 00:20:37,800 Speaker 2: in twenty twenty four. 399 00:20:37,920 --> 00:20:41,320 Speaker 1: Do you remember this, I remember it. All these little murmurs. 400 00:20:42,240 --> 00:20:42,760 Speaker 1: I'm sorry. 401 00:20:43,119 --> 00:20:48,439 Speaker 2: Harris's roughly fifty staff members, five have lasted from the 402 00:20:48,440 --> 00:20:50,400 Speaker 2: beginning of her time as VP to now. 403 00:20:50,880 --> 00:20:52,160 Speaker 1: That's quite a nutrition rate. 404 00:20:52,760 --> 00:20:56,280 Speaker 2: The stories written in places like Politico and Axios aw 405 00:20:56,280 --> 00:20:59,560 Speaker 2: about how Harris never does the reading, Harris never knows 406 00:20:59,600 --> 00:21:02,159 Speaker 2: what's going on on. Harris blames her staff and is 407 00:21:02,280 --> 00:21:06,639 Speaker 2: nasty and is unprepared and isn't very bright. We're supposed 408 00:21:06,640 --> 00:21:10,400 Speaker 2: to forget about all that, right, They were doing that 409 00:21:10,560 --> 00:21:14,080 Speaker 2: because there was talking about maybe Gretchen Whitmer would be better, 410 00:21:14,480 --> 00:21:17,119 Speaker 2: maybe Karen Bass would be better. Maybe you know, you 411 00:21:17,200 --> 00:21:21,080 Speaker 2: go down, there's all these different possible vps. Maybe you 412 00:21:21,119 --> 00:21:23,600 Speaker 2: know they were gonna have Harris appointed to be like 413 00:21:23,640 --> 00:21:25,000 Speaker 2: a federal judge somewhere or something. 414 00:21:25,040 --> 00:21:27,399 Speaker 1: This was the talk, or it's a Supreme quartal. I 415 00:21:27,440 --> 00:21:31,200 Speaker 1: don't think that would work. This was the talk in 416 00:21:31,440 --> 00:21:32,439 Speaker 1: very recent memory. 417 00:21:32,560 --> 00:21:35,679 Speaker 2: Okay, the stories were coming out about Harris, even in 418 00:21:35,720 --> 00:21:40,000 Speaker 2: Democrat media that were trashing or were this year and 419 00:21:40,040 --> 00:21:42,480 Speaker 2: now Paul mcgullan's like, Oh, she's amazing, She's so great. 420 00:21:42,560 --> 00:21:49,560 Speaker 1: These people are utterly ruthless, have no scruples, no principles. 421 00:21:49,760 --> 00:21:50,840 Speaker 1: They will say anything. 422 00:21:51,359 --> 00:21:56,080 Speaker 2: But I understand confusion is actually a weapon of politics 423 00:21:56,119 --> 00:21:59,159 Speaker 2: for them because they can say anything. They have to 424 00:21:59,240 --> 00:22:02,920 Speaker 2: defend nothing because they'll change what is true in their 425 00:22:02,960 --> 00:22:05,200 Speaker 2: minds today, tomorrow and yesterday. 426 00:22:06,440 --> 00:22:08,520 Speaker 1: How are you supposed to run a campaign against that? 427 00:22:09,520 --> 00:22:12,960 Speaker 2: Kamala Harris stands for nothing and somehow everything at the 428 00:22:12,960 --> 00:22:17,760 Speaker 2: same time. And there's you know, you're you're fighting show, 429 00:22:17,840 --> 00:22:20,960 Speaker 2: you know, shadows and dust. Here you're grabbing it at 430 00:22:21,000 --> 00:22:26,119 Speaker 2: the air. You're you right, You're you're wrestling with water. 431 00:22:26,200 --> 00:22:30,440 Speaker 2: It's formless. How do you do this? Well, this is 432 00:22:30,480 --> 00:22:32,480 Speaker 2: the game they're playing, so we have to figure it out. 433 00:22:32,680 --> 00:22:35,760 Speaker 2: Here's a here's a really, I mean this is particularly 434 00:22:35,800 --> 00:22:40,200 Speaker 2: amusing to me. Uh, Susan Rice, Okay, Susan Rice, as 435 00:22:40,200 --> 00:22:43,560 Speaker 2: you know, top advisor for Obama. She's not gonna and 436 00:22:43,600 --> 00:22:46,879 Speaker 2: all the Obama team are now a lot of the 437 00:22:46,880 --> 00:22:50,520 Speaker 2: Obama team are coming forward to be team Kamala, right, 438 00:22:50,680 --> 00:22:52,679 Speaker 2: and and some of them weren't Team Biden. 439 00:22:52,800 --> 00:22:54,760 Speaker 1: Interesting is it? But they're coming forward to be team Kamala. 440 00:22:55,000 --> 00:22:58,600 Speaker 2: Susan Rice wants you to know, and I need you 441 00:22:58,640 --> 00:23:03,360 Speaker 2: to hear this, that Kamala was an essential part of 442 00:23:03,400 --> 00:23:05,400 Speaker 2: the Biden administration's policies. 443 00:23:05,400 --> 00:23:08,000 Speaker 1: This is seventeen Uh, listen to this one. 444 00:23:08,240 --> 00:23:09,600 Speaker 2: She will, as she. 445 00:23:09,640 --> 00:23:14,160 Speaker 6: Has said, outlined aspects of her economic policy later this week. 446 00:23:14,240 --> 00:23:16,600 Speaker 6: But I think it's very important to remember that this 447 00:23:16,680 --> 00:23:20,720 Speaker 6: has been the Biden Harris agenda. Kamala Harris has been 448 00:23:20,800 --> 00:23:24,879 Speaker 6: an integral architect and executor of the policies of the 449 00:23:24,920 --> 00:23:29,560 Speaker 6: Biden Harris administration. This notion that she somehow doesn't deserve 450 00:23:29,680 --> 00:23:33,200 Speaker 6: credit for, and isn't part of, and wasn't an integral 451 00:23:33,520 --> 00:23:37,760 Speaker 6: architect of the Biden Harris administration agenda is not only false, 452 00:23:37,800 --> 00:23:40,000 Speaker 6: it's frankly somewhat bizarre and offensive. 453 00:23:41,359 --> 00:23:42,040 Speaker 1: It's offensive. 454 00:23:42,160 --> 00:23:47,440 Speaker 2: Okay, how was she execut an executor of policy here? 455 00:23:48,320 --> 00:23:51,320 Speaker 1: How was she an integral architect? 456 00:23:52,400 --> 00:23:56,520 Speaker 2: A week ago they were telling us, Okay again, I know, guys, 457 00:23:56,680 --> 00:23:59,479 Speaker 2: it's we're in the funhouse, mirror world of democrats desperately 458 00:23:59,520 --> 00:24:03,480 Speaker 2: trying to cling to power, lie to everybody, smoke screens everywhere. 459 00:24:05,359 --> 00:24:08,960 Speaker 2: As soon as Harris was the chosen and I have 460 00:24:09,040 --> 00:24:12,359 Speaker 2: to keep reminding everybody of this too. You're noticing that 461 00:24:12,400 --> 00:24:17,960 Speaker 2: the defense of democracy argument from Democrats. You're not hearing 462 00:24:17,960 --> 00:24:20,840 Speaker 2: a lot about that these days, are you. You're not 463 00:24:21,520 --> 00:24:26,240 Speaker 2: being bombarded with that talking point, maybe because Democrats defense 464 00:24:26,320 --> 00:24:31,159 Speaker 2: of democracy apparently means nullifying a primary election, installing a 465 00:24:31,200 --> 00:24:35,480 Speaker 2: presidential nominee with zero votes, then working at breakneck speed 466 00:24:35,560 --> 00:24:38,760 Speaker 2: to flood the internet with lies about that person while 467 00:24:38,800 --> 00:24:41,719 Speaker 2: the media helps her hide from public scrutiny. 468 00:24:42,640 --> 00:24:47,040 Speaker 1: Defense of democracy. Maybe we should all mask up again. 469 00:24:47,119 --> 00:24:50,040 Speaker 1: That'll help with democracy, says doctor Fouch. 470 00:24:51,480 --> 00:24:57,439 Speaker 2: Yeah, it's it's stunning, isn't it. Anything goes, whatever works. 471 00:24:57,520 --> 00:24:59,240 Speaker 2: They don't even hide it from you. They don't even 472 00:24:59,240 --> 00:25:02,720 Speaker 2: try to hide it on you. Michael McFall, this guy 473 00:25:02,840 --> 00:25:05,560 Speaker 2: was a US ambassador to Russia. He's a Russia Trump 474 00:25:05,600 --> 00:25:06,800 Speaker 2: derangement lunatic. 475 00:25:08,320 --> 00:25:09,000 Speaker 1: And what is he? 476 00:25:09,040 --> 00:25:12,800 Speaker 2: Probably at some think tank now right? Oh, no, he's 477 00:25:12,840 --> 00:25:17,040 Speaker 2: at Stanford here he is. He says the following about 478 00:25:17,119 --> 00:25:20,840 Speaker 2: Kamala Harris. The paramount objective for Kamala Harris this was 479 00:25:20,840 --> 00:25:24,119 Speaker 2: on X is to win this election. If a press 480 00:25:24,160 --> 00:25:26,800 Speaker 2: conference helps her win, she should do it. If not, 481 00:25:27,040 --> 00:25:29,679 Speaker 2: she shouldn't do it. It's just that simple. She has no 482 00:25:29,920 --> 00:25:33,040 Speaker 2: moral obligation to talk to the press. Tone it down, folks. 483 00:25:33,600 --> 00:25:36,720 Speaker 2: This is a so called left wing intellectual at Stanford 484 00:25:37,040 --> 00:25:41,000 Speaker 2: and a former US ambassador who's telling everybody, yeah. 485 00:25:40,920 --> 00:25:43,640 Speaker 1: Lie, if Harris has to lie. 486 00:25:43,480 --> 00:25:47,879 Speaker 2: By the omission of her public presence, if the media 487 00:25:47,920 --> 00:25:50,639 Speaker 2: has to be a party to this, great whatever they 488 00:25:50,680 --> 00:25:54,960 Speaker 2: have to do is what they should do. Anything goes now, 489 00:25:55,000 --> 00:25:56,840 Speaker 2: I come back to what Susan Rice said. Sorry I 490 00:25:57,280 --> 00:25:59,119 Speaker 2: digressed there for a second. I got a lot of 491 00:25:59,160 --> 00:26:03,280 Speaker 2: thoughts going on here. They told us as soon as 492 00:26:03,280 --> 00:26:07,760 Speaker 2: Harris was the just the chosen by the Democrat elites, 493 00:26:08,520 --> 00:26:12,159 Speaker 2: no votes, no primary. Used to be that Harris was 494 00:26:12,200 --> 00:26:15,080 Speaker 2: a laugh line. Nobody liked her in the Democrat Party. 495 00:26:15,440 --> 00:26:16,359 Speaker 2: She was a joke. 496 00:26:17,440 --> 00:26:19,720 Speaker 1: She got like two percent of the vote and had. 497 00:26:19,600 --> 00:26:24,040 Speaker 2: To drop out in twenty twenty. Oh now she's a savior. 498 00:26:24,800 --> 00:26:26,880 Speaker 2: You know, Say what you will about Obama. The guy won, 499 00:26:27,920 --> 00:26:30,360 Speaker 2: the guy one and one and one and one guy 500 00:26:30,400 --> 00:26:34,000 Speaker 2: never lost. Now I'm not saying that that means I'm 501 00:26:34,000 --> 00:26:37,400 Speaker 2: an Obama fan, obviously, but I'm just saying the Democrats, 502 00:26:38,000 --> 00:26:41,000 Speaker 2: you know, they launched him into the stratosphere all the way. 503 00:26:41,600 --> 00:26:47,240 Speaker 2: Kamala Harris has been rejected by the Democrat electorate, resoundingly rejected, 504 00:26:47,280 --> 00:26:49,160 Speaker 2: and now they're pretending that she's great. 505 00:26:50,400 --> 00:26:51,800 Speaker 1: Okay, Now on the policy thing. 506 00:26:51,920 --> 00:26:54,920 Speaker 2: Susan Rice, one of the most prominent members of the 507 00:26:54,960 --> 00:27:01,080 Speaker 2: Obama administration, a top Obama advisor, she has said that 508 00:27:01,160 --> 00:27:05,080 Speaker 2: Kamala Harris is an architect of Biden policies. Now that's 509 00:27:05,080 --> 00:27:08,480 Speaker 2: a sound bit, it sounds good. Which one which policies? 510 00:27:09,040 --> 00:27:11,119 Speaker 2: As soon as they picked Kamala Harris, what do we 511 00:27:11,160 --> 00:27:13,399 Speaker 2: all start to think about? What was she most associated 512 00:27:13,440 --> 00:27:16,360 Speaker 2: with as an actual real policy? 513 00:27:16,440 --> 00:27:18,600 Speaker 1: The border? The borders are. 514 00:27:19,520 --> 00:27:24,280 Speaker 2: Biden gave her this as part of her vice presidential portfolio, 515 00:27:24,400 --> 00:27:28,840 Speaker 2: acting with his stamp of approval, you know, his you know, 516 00:27:29,080 --> 00:27:33,480 Speaker 2: it's sort of like, you know, his mandate deal with 517 00:27:33,480 --> 00:27:35,679 Speaker 2: the border, and it was such a disaster and the 518 00:27:35,680 --> 00:27:38,639 Speaker 2: border has been so bad under the Biden Harris tenure 519 00:27:39,240 --> 00:27:43,040 Speaker 2: that the media immediately started to lie and gaslight you 520 00:27:43,119 --> 00:27:45,199 Speaker 2: by saying she was never the borders are. There's no 521 00:27:45,240 --> 00:27:48,960 Speaker 2: such thing as the borders are. That's a made up thing. Axeos, 522 00:27:49,000 --> 00:27:54,400 Speaker 2: the left wing news website, scrubbed its own previous descriptions 523 00:27:54,440 --> 00:27:55,840 Speaker 2: of her as borders are. 524 00:27:57,320 --> 00:27:59,760 Speaker 1: This is Soviet stuff. 525 00:28:00,359 --> 00:28:03,320 Speaker 2: This is like when they would remove people from certain 526 00:28:03,560 --> 00:28:06,640 Speaker 2: you know, bureaus in the Soviet Union and they would 527 00:28:06,760 --> 00:28:09,880 Speaker 2: use a razor to remove their name from the paper records. 528 00:28:09,920 --> 00:28:11,800 Speaker 1: You're like, well there's a hole there now, yeah, but 529 00:28:11,840 --> 00:28:12,600 Speaker 1: the name's not there. 530 00:28:13,880 --> 00:28:14,480 Speaker 5: This is the. 531 00:28:16,000 --> 00:28:24,760 Speaker 2: Absolute brainwashing of the American people to get a manifestly unqualified, unprincipled, 532 00:28:24,920 --> 00:28:31,399 Speaker 2: incapable nominee made president of the United States. And I 533 00:28:31,480 --> 00:28:35,040 Speaker 2: have to take this seriously because they made a Dementia patient. Clearly, 534 00:28:35,200 --> 00:28:37,080 Speaker 2: as they now admit the president of that States for 535 00:28:37,080 --> 00:28:42,360 Speaker 2: four years, he is still the president. Captain Dementia is 536 00:28:42,440 --> 00:28:43,920 Speaker 2: still the commander in chief. 537 00:28:45,080 --> 00:28:46,400 Speaker 1: How is that even possible? 538 00:28:48,960 --> 00:28:54,680 Speaker 2: But this is one of the again challenges that we 539 00:28:54,840 --> 00:28:58,920 Speaker 2: have to deal with. When you have no integrity to protect, 540 00:28:59,000 --> 00:29:01,480 Speaker 2: you can do and say any thing. And that's where 541 00:29:01,520 --> 00:29:04,240 Speaker 2: the media, that's where the Democrats are, That's where the 542 00:29:04,520 --> 00:29:11,040 Speaker 2: Harris Wall's campaign is. There's nothing that they stand for 543 00:29:11,480 --> 00:29:15,640 Speaker 2: other than power. There's nothing that they believe in other 544 00:29:15,680 --> 00:29:19,000 Speaker 2: than they should be in charge and the people around them. 545 00:29:19,800 --> 00:29:22,000 Speaker 2: They should have power over you. 546 00:29:23,440 --> 00:29:23,880 Speaker 1: That's it. 547 00:29:24,840 --> 00:29:27,520 Speaker 2: Whatever they have to say, whatever lies they have to tell, 548 00:29:27,560 --> 00:29:32,760 Speaker 2: it's all and it is it is incumbent upon us 549 00:29:32,800 --> 00:29:38,880 Speaker 2: to meet this with the ferocious response of truth in 550 00:29:38,960 --> 00:29:45,680 Speaker 2: every venue, in every way we possibly can, because these 551 00:29:45,720 --> 00:29:48,400 Speaker 2: are unseerious people who will do serious. 552 00:29:48,120 --> 00:29:49,080 Speaker 1: Damage to the country. 553 00:29:50,320 --> 00:29:55,000 Speaker 2: And you'll notice that none of them even present themselves 554 00:29:55,040 --> 00:29:57,640 Speaker 2: for exchange of ideas on the other side, what answer 555 00:29:57,720 --> 00:29:59,480 Speaker 2: can they possibly give? I mean, you know, I know, 556 00:29:59,520 --> 00:30:00,960 Speaker 2: I joke a I'm with you about how I'm like 557 00:30:00,960 --> 00:30:03,080 Speaker 2: morning Joe's biggest fan. I do think it's important to 558 00:30:03,120 --> 00:30:07,640 Speaker 2: watch because I see I watched the brainwashing process for 559 00:30:07,680 --> 00:30:10,000 Speaker 2: that audience in real time. I understand what's going on. 560 00:30:10,800 --> 00:30:13,640 Speaker 2: But their host was saying that Joe Biden a few 561 00:30:13,640 --> 00:30:16,280 Speaker 2: months ago was the sharpest he's ever been. How can 562 00:30:16,360 --> 00:30:19,360 Speaker 2: a person who says that on television and puts their 563 00:30:19,360 --> 00:30:21,640 Speaker 2: whatever integrity they're supposed to have on the line with 564 00:30:21,680 --> 00:30:23,600 Speaker 2: such a statement be taken seriously? 565 00:30:23,640 --> 00:30:23,800 Speaker 1: Ever? 566 00:30:23,880 --> 00:30:26,080 Speaker 2: Again, I mean, he was obviously a dementia patient, as 567 00:30:26,080 --> 00:30:30,240 Speaker 2: they now have had to admit, So why should we 568 00:30:30,240 --> 00:30:32,280 Speaker 2: listen to anything that said about Well? But this also 569 00:30:32,280 --> 00:30:35,040 Speaker 2: applies to the New York Times. They were all complicit 570 00:30:35,040 --> 00:30:38,160 Speaker 2: in the lie. And now you go with well, Hold 571 00:30:38,200 --> 00:30:40,720 Speaker 2: on a second, it's not even new to the Biden administration. 572 00:30:41,120 --> 00:30:44,560 Speaker 2: They were complicit in huge lies about Russia collusion and 573 00:30:44,560 --> 00:30:49,520 Speaker 2: that Russia stole the twenty sixteen election. They've never they've 574 00:30:49,560 --> 00:30:54,440 Speaker 2: never addressed their part in that. In fact, they've given 575 00:30:54,440 --> 00:30:57,040 Speaker 2: themselves pulletzers. I mean they've they've gone the opposite direction. 576 00:30:58,080 --> 00:31:02,840 Speaker 2: So it's uh, it's a it's a it's a wild 577 00:31:02,960 --> 00:31:07,600 Speaker 2: thing to watch this this play out because the counter 578 00:31:07,760 --> 00:31:12,520 Speaker 2: arguments that I'm arming you with today will have to 579 00:31:12,560 --> 00:31:16,160 Speaker 2: be changed next week because they will change their premise. 580 00:31:16,160 --> 00:31:19,760 Speaker 2: They will change their arguments entirely. Oh, Kamala Harris. 581 00:31:19,520 --> 00:31:20,280 Speaker 1: Wasn't the borders are? 582 00:31:20,280 --> 00:31:22,160 Speaker 2: Oh now they're running ads saying that she was great 583 00:31:22,160 --> 00:31:25,200 Speaker 2: on the border and so important and so integral to 584 00:31:25,320 --> 00:31:32,120 Speaker 2: the Obama I'm sorry the Biden Administration's successes, right, but 585 00:31:32,200 --> 00:31:34,360 Speaker 2: they just said that she Now she is. You know, 586 00:31:34,400 --> 00:31:36,200 Speaker 2: next week it's going to be, oh, well, she was, 587 00:31:37,160 --> 00:31:39,800 Speaker 2: you know she she is in favor of of reparations 588 00:31:39,840 --> 00:31:42,000 Speaker 2: the week after that or coming up in the debate, 589 00:31:42,040 --> 00:31:45,280 Speaker 2: Oh no, she's not in favorite reparations. How do you 590 00:31:45,360 --> 00:31:48,960 Speaker 2: win an argument with somebody who stands for nothing. We're 591 00:31:48,960 --> 00:31:51,959 Speaker 2: going to find out, that's what we're dealing with with Kamala. 592 00:31:52,000 --> 00:31:55,080 Speaker 2: That's what we're dealing with with these democrats. Uh, and 593 00:31:55,240 --> 00:31:58,360 Speaker 2: it is going to be a challenge, you know. I 594 00:31:58,400 --> 00:32:00,760 Speaker 2: want to switch our focus on the least for a second. 595 00:32:00,800 --> 00:32:04,160 Speaker 2: There's plenty of speculation still that Israel is going to 596 00:32:04,200 --> 00:32:08,040 Speaker 2: suffer from more attacks from these proxy terrorist forces back 597 00:32:08,120 --> 00:32:12,440 Speaker 2: by Iran. Hezbelah is really the most ominous of these threats, 598 00:32:12,880 --> 00:32:17,080 Speaker 2: and there's reason to believe that Israel could be drawn 599 00:32:17,120 --> 00:32:19,800 Speaker 2: into a broader conflict any day now. In the event 600 00:32:19,920 --> 00:32:23,760 Speaker 2: of a major attack from any of these forces, Israelis 601 00:32:23,760 --> 00:32:26,040 Speaker 2: across the country could be forced to spend days in 602 00:32:26,120 --> 00:32:29,880 Speaker 2: bomb shelters. And these shelters can keep Israeli safe, but 603 00:32:29,960 --> 00:32:32,680 Speaker 2: they need to be equipped with essentials for survival, including 604 00:32:32,720 --> 00:32:35,240 Speaker 2: food and water, to prepare people to live in them 605 00:32:35,240 --> 00:32:37,719 Speaker 2: for long periods of time. This is where the International 606 00:32:37,720 --> 00:32:40,760 Speaker 2: Fellowship of Christians and Jews steps in. The Fellowship has 607 00:32:40,760 --> 00:32:43,840 Speaker 2: initiated a project to provide people with access to bomb 608 00:32:43,840 --> 00:32:47,360 Speaker 2: shelters with emergency food boxes. Ten thousand of these food 609 00:32:47,360 --> 00:32:49,720 Speaker 2: boxes have been delivered and they are preparing to deliver 610 00:32:49,880 --> 00:32:53,200 Speaker 2: thousands more. If you can support the Fellowship's efforts and 611 00:32:53,240 --> 00:32:56,480 Speaker 2: now is the time to stand with our brothers and 612 00:32:56,520 --> 00:33:00,960 Speaker 2: sisters in Israel. Donate forty five dollars please to help 613 00:33:01,000 --> 00:33:04,120 Speaker 2: provide an emergency food box that includes items like food, water, 614 00:33:04,240 --> 00:33:08,040 Speaker 2: baby formula, and other critical essentials for for vulnerable Israelis 615 00:33:08,040 --> 00:33:12,760 Speaker 2: trapped in bomb shelters. The website is supportif CJ dot org. 616 00:33:13,400 --> 00:33:17,880 Speaker 2: That's support IFCJ dot org. 617 00:33:19,040 --> 00:33:23,760 Speaker 4: Twenty four Clay and Bucks Weekly Campaign Cliff Notes episodes 618 00:33:23,840 --> 00:33:27,160 Speaker 4: dropped Sundays at noon Eastern on the free iHeartRadio app 619 00:33:27,280 --> 00:33:29,240 Speaker 4: or wherever you get your podcasts. 620 00:33:29,720 --> 00:33:32,080 Speaker 1: All right, welcome back into Clay and Bok. Come up. 621 00:33:32,080 --> 00:33:35,760 Speaker 2: I'm gonna talk about the immigration situation, starting off with 622 00:33:36,120 --> 00:33:38,440 Speaker 2: and I say immigration. You know what I'm talking legal stuff, 623 00:33:38,480 --> 00:33:41,920 Speaker 2: wide open border. What a message is New York City 624 00:33:41,960 --> 00:33:44,040 Speaker 2: five billion dollars. You know, my family still lives in 625 00:33:44,080 --> 00:33:46,920 Speaker 2: New York so I get the I get the real 626 00:33:46,960 --> 00:33:51,000 Speaker 2: time updates, texts and calls from my family members, and 627 00:33:51,280 --> 00:33:53,280 Speaker 2: you know they might You know, my parents were born 628 00:33:53,280 --> 00:33:57,240 Speaker 2: in New York City. Three of my four grandparents were 629 00:33:57,240 --> 00:34:00,520 Speaker 2: born in New York City. And I think on one 630 00:34:00,560 --> 00:34:03,600 Speaker 2: side of the family, we can trace the family back 631 00:34:03,640 --> 00:34:08,520 Speaker 2: to New York City to Brooklyn, to like the eighteen eighties, 632 00:34:08,520 --> 00:34:11,000 Speaker 2: I think, or seventies or something. I mean, like way back. 633 00:34:11,040 --> 00:34:14,520 Speaker 2: We've been there a long time and I'm obviously gone, 634 00:34:14,840 --> 00:34:17,279 Speaker 2: but I still have, always will have such a soft 635 00:34:17,280 --> 00:34:19,240 Speaker 2: spot for New York and I hate that it's. 636 00:34:19,120 --> 00:34:21,200 Speaker 1: Being just run into the ground. 637 00:34:21,280 --> 00:34:24,000 Speaker 2: And the migrant crisis is just making so many things worse, 638 00:34:24,040 --> 00:34:27,400 Speaker 2: and there's heinous crimes that are happening that expose the 639 00:34:27,520 --> 00:34:32,640 Speaker 2: risks the population is under that citizens and people legally 640 00:34:32,640 --> 00:34:35,920 Speaker 2: in the country are under from this flow. So we'll 641 00:34:36,000 --> 00:34:39,400 Speaker 2: talk about it. Interesting call here, We've got Peter in 642 00:34:39,480 --> 00:34:44,440 Speaker 2: San Antonio. Peter, you are a black registered Democrat and 643 00:34:44,480 --> 00:34:46,040 Speaker 2: you are voting for Trump. 644 00:34:47,000 --> 00:34:50,600 Speaker 7: Yes, I am claim, But first of all, big fan 645 00:34:51,000 --> 00:34:51,720 Speaker 7: of the show. 646 00:34:52,280 --> 00:34:55,359 Speaker 8: I am a registered Democrat. I couldn't get out of 647 00:34:55,400 --> 00:35:00,000 Speaker 8: your favorite city in town, Portland, Oregon born and raised. 648 00:35:00,160 --> 00:35:02,279 Speaker 8: I'm a huge Oregon Decks fan. 649 00:35:03,040 --> 00:35:04,759 Speaker 7: We're making a leap to the big ten. 650 00:35:04,800 --> 00:35:07,680 Speaker 8: I know you love college football and I'm a black 651 00:35:07,680 --> 00:35:11,520 Speaker 8: guy and I'm learning for Donald J. Trump. 652 00:35:12,160 --> 00:35:13,200 Speaker 1: Why give us the why? 653 00:35:14,200 --> 00:35:18,000 Speaker 7: Okay, here's why. I have to come from a perspective 654 00:35:18,200 --> 00:35:21,880 Speaker 7: like what it's going to improve my life. 655 00:35:23,160 --> 00:35:24,240 Speaker 1: I'm having a hard time. 656 00:35:24,080 --> 00:35:27,200 Speaker 7: Finding a job. I'm in a tech sector. That's the economy. 657 00:35:27,840 --> 00:35:30,920 Speaker 7: I live in Texas. That's about the border. And then 658 00:35:30,960 --> 00:35:34,640 Speaker 7: to see the crime you said it best economy, crime, 659 00:35:34,920 --> 00:35:38,759 Speaker 7: border or EBC. It's all about that. I have to 660 00:35:38,800 --> 00:35:43,040 Speaker 7: not like the personality of mister Trump, but his policies. 661 00:35:42,480 --> 00:35:44,360 Speaker 1: Work all right. 662 00:35:44,440 --> 00:35:47,960 Speaker 2: Hey, Peter, welcome to the party, my friend, or at 663 00:35:48,040 --> 00:35:52,120 Speaker 2: least welcome to Welcome to the the the the side 664 00:35:52,160 --> 00:35:54,719 Speaker 2: of truth, righteousness and justice in this election. Thank you 665 00:35:54,800 --> 00:35:56,720 Speaker 2: so much for Colin. Thank you for listening, by the way, 666 00:35:57,160 --> 00:35:58,840 Speaker 2: appreciate you. 667 00:35:58,920 --> 00:35:59,160 Speaker 1: Yeah. 668 00:35:59,200 --> 00:36:03,880 Speaker 2: Look, I don't see how unless someone is just truly 669 00:36:03,960 --> 00:36:08,799 Speaker 2: obsessed with abortion as the most important public policy thing. 670 00:36:08,880 --> 00:36:10,560 Speaker 2: And I mean, you know, abortion all nine months of 671 00:36:10,600 --> 00:36:15,239 Speaker 2: a pregnancy, right, unless somebody is an abortion radical, I 672 00:36:15,320 --> 00:36:18,319 Speaker 2: cannot see how. If you look at the nuts and 673 00:36:18,360 --> 00:36:21,160 Speaker 2: bolts of what a Trump presidency would be versus a 674 00:36:21,239 --> 00:36:23,960 Speaker 2: Harris presidency, you don't understand. 675 00:36:24,040 --> 00:36:25,520 Speaker 1: It's just going to be better for the country and 676 00:36:25,600 --> 00:36:27,960 Speaker 1: better for you. That's the funny thing. 677 00:36:28,200 --> 00:36:31,920 Speaker 2: I want Trump to win this election knowing that all 678 00:36:31,960 --> 00:36:36,800 Speaker 2: of the lunatic Kamala supporters out there will also benefit 679 00:36:36,840 --> 00:36:39,279 Speaker 2: from Trump being president. And I'm okay With that, you know, 680 00:36:39,960 --> 00:36:42,279 Speaker 2: I want what's best for the whole country. I want 681 00:36:42,280 --> 00:36:45,160 Speaker 2: a better economy, I want a more secure border. I 682 00:36:45,160 --> 00:36:48,920 Speaker 2: want a more sane foreign policy. I want better trade policy. 683 00:36:49,480 --> 00:36:52,840 Speaker 2: You get all of that with Trump. With Kamala, you 684 00:36:52,920 --> 00:36:56,040 Speaker 2: get a future unburdened by what has been