1 00:00:01,120 --> 00:00:04,640 Speaker 1: Welcome in his verdict with Ted Cruz, Ben Ferguson with you, 2 00:00:04,720 --> 00:00:07,520 Speaker 1: and is the week in Review in Mayo, Maida. We 3 00:00:07,520 --> 00:00:10,080 Speaker 1: have some big stories that we talked about this week, 4 00:00:10,160 --> 00:00:14,319 Speaker 1: just three days now away from election day. First up, 5 00:00:14,440 --> 00:00:17,520 Speaker 1: the campaign Donald Trump is running now in twenty twenty 6 00:00:17,560 --> 00:00:22,159 Speaker 1: four very different than in twenty sixteen. So could this 7 00:00:22,440 --> 00:00:24,800 Speaker 1: be the difference for him to be able to win 8 00:00:24,920 --> 00:00:29,360 Speaker 1: this time compared to twenty twenty We break that down. Also, 9 00:00:29,480 --> 00:00:32,760 Speaker 1: the Hispanic community seems to be turning away from the 10 00:00:32,800 --> 00:00:37,360 Speaker 1: Democratic Party and moving towards Donald Trump over the border issue. 11 00:00:37,840 --> 00:00:40,320 Speaker 1: How big of an issue will that be on election day? 12 00:00:40,479 --> 00:00:44,400 Speaker 1: We'll dive into that. And finally, many Americans are concerned 13 00:00:44,520 --> 00:00:48,080 Speaker 1: about illegal votes. Well, guess what, they have real reason 14 00:00:48,159 --> 00:00:52,479 Speaker 1: to be concerned about it, as a Chinese immigrant voted 15 00:00:52,600 --> 00:00:56,000 Speaker 1: in Michigan and they caught him voting illegally. The problem 16 00:00:56,080 --> 00:01:00,960 Speaker 1: is they're still saying his ballot will count. It's the 17 00:01:01,000 --> 00:01:03,600 Speaker 1: weekend review and it starts right now. 18 00:01:04,040 --> 00:01:05,160 Speaker 2: You know. It's also I. 19 00:01:05,080 --> 00:01:07,800 Speaker 1: Think very interesting to see how Donald Trump is putting 20 00:01:07,840 --> 00:01:10,280 Speaker 1: together this campaign. It's a little bit different than he 21 00:01:10,319 --> 00:01:14,720 Speaker 1: did in sixteen certainly, and that is he understands how 22 00:01:14,760 --> 00:01:18,640 Speaker 1: important it is to have a team around him, whether 23 00:01:18,680 --> 00:01:21,760 Speaker 1: it's border patrol agents. But he also had some things 24 00:01:21,760 --> 00:01:24,600 Speaker 1: to say about you. You were obviously there with him, 25 00:01:24,920 --> 00:01:26,960 Speaker 1: and I want people to let them hear what he 26 00:01:27,040 --> 00:01:30,240 Speaker 1: said about you and how he understands. Now, this is 27 00:01:30,280 --> 00:01:34,200 Speaker 1: so important that we have a team together that can 28 00:01:34,400 --> 00:01:37,320 Speaker 1: actually implement some of these ideas in Washington, because if 29 00:01:37,319 --> 00:01:39,920 Speaker 1: you don't have team members, if you don't win the Senate, 30 00:01:39,959 --> 00:01:42,160 Speaker 1: if you don't win the House, you're not going to 31 00:01:42,200 --> 00:01:43,560 Speaker 1: get as much done as you want to. 32 00:01:44,040 --> 00:01:46,080 Speaker 2: And I think he understands this time. 33 00:01:46,200 --> 00:01:49,400 Speaker 1: He needs a very tight team that can take these 34 00:01:49,440 --> 00:01:51,760 Speaker 1: things that he's talking about on the road and put 35 00:01:51,800 --> 00:01:56,440 Speaker 1: them into action in Congress. Take a listen Donald Trump 36 00:01:56,480 --> 00:01:57,600 Speaker 1: talking about you. 37 00:01:57,720 --> 00:01:58,080 Speaker 2: Senator. 38 00:01:58,520 --> 00:02:00,880 Speaker 3: I want to thank some of the special guests we have, 39 00:02:01,000 --> 00:02:03,040 Speaker 3: Senator Ted Cruz for being here. 40 00:02:03,200 --> 00:02:03,960 Speaker 4: Senator talk. 41 00:02:04,560 --> 00:02:11,840 Speaker 3: And it's hard to believe he's in a race because honestly, 42 00:02:12,160 --> 00:02:13,840 Speaker 3: I don't know who would want to run against him, 43 00:02:13,880 --> 00:02:15,440 Speaker 3: because he's really a great senator. 44 00:02:17,120 --> 00:02:18,200 Speaker 4: He's a great senator. 45 00:02:18,200 --> 00:02:21,760 Speaker 3: He loves a country, he's tough as hell, he fights, 46 00:02:21,800 --> 00:02:24,320 Speaker 3: he's always fighting, and you know, and he's fighting for 47 00:02:24,360 --> 00:02:27,320 Speaker 3: the state. But he's fighting more for the country than 48 00:02:27,520 --> 00:02:30,880 Speaker 3: just about anybody. And John Barassa would acknowledge that. John 49 00:02:30,960 --> 00:02:33,639 Speaker 3: is one of our leaders in the Senate and he's 50 00:02:33,680 --> 00:02:38,000 Speaker 3: a fantasticant. So Ted, I know your thing is going good. 51 00:02:38,040 --> 00:02:40,480 Speaker 3: I heard you helped you very greatly. You got a 52 00:02:40,480 --> 00:02:43,640 Speaker 3: big pop, right, and I know you're doing great. But 53 00:02:43,800 --> 00:02:45,640 Speaker 3: I just want to say he's got my complete and 54 00:02:45,680 --> 00:02:46,480 Speaker 3: total endorsement. 55 00:02:46,520 --> 00:02:48,639 Speaker 4: He has always, always will have. 56 00:02:50,120 --> 00:02:52,920 Speaker 3: And You're going to have a great day, and hopefully 57 00:02:52,960 --> 00:02:54,480 Speaker 3: I'm going to have a great day, and we're going 58 00:02:54,560 --> 00:02:56,720 Speaker 3: to be celebrating together, and we're going to make our 59 00:02:57,400 --> 00:03:00,360 Speaker 3: country as we say or we'll make America great. We're 60 00:03:00,400 --> 00:03:01,800 Speaker 3: going to make it great. And it's going to go 61 00:03:01,880 --> 00:03:04,480 Speaker 3: faster than you think. But it can't sustain this for 62 00:03:04,520 --> 00:03:05,320 Speaker 3: another four years. 63 00:03:05,360 --> 00:03:07,160 Speaker 4: That I do believe, you know. 64 00:03:07,240 --> 00:03:11,000 Speaker 1: It's his mindset is just so different this time. It's 65 00:03:11,080 --> 00:03:14,000 Speaker 1: like I got to get a group of warriors that 66 00:03:14,080 --> 00:03:16,320 Speaker 1: are going to come together and fight for this country. 67 00:03:16,360 --> 00:03:19,480 Speaker 1: And I love the way he talks about people just 68 00:03:19,560 --> 00:03:21,000 Speaker 1: like you, where he's like, look, we got to get 69 00:03:21,000 --> 00:03:22,160 Speaker 1: this done together as a team. 70 00:03:22,720 --> 00:03:24,200 Speaker 5: Yeah, Look, we got a lot of work to do. 71 00:03:24,400 --> 00:03:27,000 Speaker 5: And when Trump was president the first time, I was 72 00:03:27,040 --> 00:03:30,320 Speaker 5: by far his strongest ally in the Senate, and when 73 00:03:30,360 --> 00:03:33,400 Speaker 5: he's reelected, I'll again be by far his strongest ally 74 00:03:33,440 --> 00:03:35,720 Speaker 5: in the Senate. And the job we have to do. 75 00:03:36,280 --> 00:03:38,920 Speaker 5: I look back over these last four years, I've never 76 00:03:39,080 --> 00:03:41,520 Speaker 5: seen so much damage done to our country in such 77 00:03:41,560 --> 00:03:43,960 Speaker 5: a short period of time. And so we've got a 78 00:03:44,120 --> 00:03:46,320 Speaker 5: massive amount of work to do to secure the border, 79 00:03:46,320 --> 00:03:47,680 Speaker 5: which we're going to do, and we're going to do 80 00:03:47,720 --> 00:03:49,880 Speaker 5: it early next year. It's not going to take a year. 81 00:03:49,920 --> 00:03:51,480 Speaker 5: It's not even going to take six months. We're going 82 00:03:51,520 --> 00:03:54,760 Speaker 5: to secure the border in January and February of next year. 83 00:03:55,320 --> 00:03:56,240 Speaker 6: And it is going to be. 84 00:03:56,240 --> 00:04:00,680 Speaker 5: Simply reversing the policy, ending catch and release, Ian stating 85 00:04:01,120 --> 00:04:05,640 Speaker 5: remain in Mexico, and once people discover that if you come, 86 00:04:06,160 --> 00:04:08,280 Speaker 5: you don't get to stay, you get set home, the 87 00:04:08,400 --> 00:04:12,160 Speaker 5: numbers will plummet immediately. We're also going to extend the 88 00:04:12,200 --> 00:04:14,600 Speaker 5: tax cuts. We're gonna We're gonna, you know, the Wall 89 00:04:14,640 --> 00:04:17,800 Speaker 5: Street Journal calls this election the six trillion dollar election, 90 00:04:17,920 --> 00:04:20,880 Speaker 5: because that's how much your taxes go up if Kamala 91 00:04:20,920 --> 00:04:23,600 Speaker 5: Harrison the Democrats win, or how much they go down 92 00:04:23,600 --> 00:04:26,520 Speaker 5: and stay down if the Republicans win. We're going to 93 00:04:26,800 --> 00:04:30,240 Speaker 5: end the regulatory assault on small businesses. We're gonna end 94 00:04:30,279 --> 00:04:33,840 Speaker 5: the regulatory assault on oil and gas and jobs in Texas. 95 00:04:34,160 --> 00:04:36,159 Speaker 5: And we're gonna end the wars. We're gonna see both 96 00:04:36,200 --> 00:04:38,239 Speaker 5: of the wars abroad come to an end. In Israel's 97 00:04:38,240 --> 00:04:40,800 Speaker 5: going to defeat Hamas. There's a lot of upside and 98 00:04:40,960 --> 00:04:43,680 Speaker 5: and and so that was very kind of Trump what 99 00:04:43,800 --> 00:04:46,680 Speaker 5: he said at the rally. And he's focused on the 100 00:04:46,760 --> 00:04:48,359 Speaker 5: job at hand, what we got to do. And and 101 00:04:48,400 --> 00:04:52,080 Speaker 5: by the way, the contrast, the contrast is really striking. 102 00:04:52,640 --> 00:04:55,479 Speaker 5: Listen to Kama, Listen to Trump talking about what Kamala 103 00:04:55,520 --> 00:04:57,760 Speaker 5: was doing the very same day here in Texas. 104 00:04:58,440 --> 00:05:01,960 Speaker 3: But today Kamala is here in Texas to rubbed shoulders 105 00:05:02,000 --> 00:05:03,159 Speaker 3: with woke celebrities. 106 00:05:03,200 --> 00:05:04,039 Speaker 4: Isn't that exciting? 107 00:05:06,680 --> 00:05:08,320 Speaker 3: But she's not going to meet with any of the 108 00:05:08,440 --> 00:05:11,320 Speaker 3: victims of migrant crime while she's here. 109 00:05:11,360 --> 00:05:14,160 Speaker 4: We have many of them right here, the families with 110 00:05:14,360 --> 00:05:16,799 Speaker 4: many of them, and they're incredible people. 111 00:05:16,839 --> 00:05:19,000 Speaker 3: What they've gone through, the hell that they've gone through 112 00:05:20,000 --> 00:05:24,400 Speaker 3: and will continue to go through. Unfortunately, she'll not speak 113 00:05:24,440 --> 00:05:28,040 Speaker 3: to the grieving mothers from whom she has stolen the 114 00:05:28,080 --> 00:05:30,240 Speaker 3: brightest light in their lives. She was in charge of 115 00:05:30,279 --> 00:05:33,760 Speaker 3: this border and she doesn't like being called borders already, 116 00:05:33,760 --> 00:05:36,720 Speaker 3: where she didn't mind it almost four years. 117 00:05:36,440 --> 00:05:39,480 Speaker 4: Ago, but now she doesn't like it. But you don't 118 00:05:39,480 --> 00:05:41,560 Speaker 4: need that term. She was in charge of the border. 119 00:05:41,640 --> 00:05:44,559 Speaker 3: She never came here, and she never made one call 120 00:05:44,640 --> 00:05:47,720 Speaker 3: to these people behind me or anybody in the group. 121 00:05:47,800 --> 00:05:51,039 Speaker 4: Not one call. She's in charge, she deals with border patrol. 122 00:05:51,120 --> 00:05:54,520 Speaker 3: She hasn't made Paul, not even not one call in 123 00:05:54,600 --> 00:05:55,240 Speaker 3: four years. 124 00:05:56,880 --> 00:05:59,359 Speaker 2: Not one call in four years. Wow. 125 00:06:00,279 --> 00:06:03,320 Speaker 5: Yeah, look, it's a striking contrast. And then we saw 126 00:06:04,560 --> 00:06:08,120 Speaker 5: shortly after Trump's rally, we saw Kamala come to Houston 127 00:06:08,200 --> 00:06:11,640 Speaker 5: and it was it was a rally. It was in 128 00:06:11,680 --> 00:06:15,200 Speaker 5: the Shell Energy Stadium, and you know it was designed 129 00:06:15,240 --> 00:06:18,040 Speaker 5: to get lots of headlines, which the corporate media, like 130 00:06:18,160 --> 00:06:22,279 Speaker 5: Bleeding Sheep, completely gave of huge crowd comes out to 131 00:06:22,279 --> 00:06:25,840 Speaker 5: see Kamala Harris. Now, of course they told everyone it 132 00:06:25,880 --> 00:06:31,000 Speaker 5: was a Beyonce concert. And Beyonce is by any measure, 133 00:06:31,080 --> 00:06:34,400 Speaker 5: one of the five biggest musical stars on the face 134 00:06:34,400 --> 00:06:39,000 Speaker 5: of the planet. And so you know, it was interesting 135 00:06:39,640 --> 00:06:42,240 Speaker 5: to see all of the media gushing, oh thirty thousand 136 00:06:42,240 --> 00:06:44,760 Speaker 5: people came out to see Kamala Harris. What they really 137 00:06:44,760 --> 00:06:48,560 Speaker 5: should have written is smallest concert in a decade for Beyonce, 138 00:06:48,960 --> 00:06:52,719 Speaker 5: because I don't think Beyonce's performed to anything as small 139 00:06:52,720 --> 00:06:55,240 Speaker 5: as thirty thousand, and particularly when it was free. They 140 00:06:55,240 --> 00:06:59,640 Speaker 5: weren't charging you. Free Beyonce concert brings only thirty thousand people. 141 00:06:59,720 --> 00:07:02,560 Speaker 5: I mean, that would be a headline. But I got 142 00:07:02,560 --> 00:07:04,400 Speaker 5: to say, it really was striking that they had to 143 00:07:04,440 --> 00:07:06,880 Speaker 5: tell people they were coming to a free concert and 144 00:07:06,920 --> 00:07:08,680 Speaker 5: then they got there and they didn't even have her 145 00:07:08,720 --> 00:07:11,600 Speaker 5: sing God Bless America. I mean they they like, she 146 00:07:11,680 --> 00:07:14,240 Speaker 5: didn't even hum good morning, like like it was. 147 00:07:14,520 --> 00:07:18,360 Speaker 1: It was striking, the ultimate bait and switch as we 148 00:07:18,480 --> 00:07:19,880 Speaker 1: call it. 149 00:07:19,640 --> 00:07:20,640 Speaker 6: It really was. 150 00:07:20,760 --> 00:07:23,400 Speaker 5: And and listen, I think it's because they were afraid 151 00:07:23,440 --> 00:07:27,559 Speaker 5: if they just said a Kamala concert that that people 152 00:07:27,560 --> 00:07:29,320 Speaker 5: wouldn't show up, and so they had to have a 153 00:07:29,440 --> 00:07:31,960 Speaker 5: reason to get people to come there, and it was 154 00:07:32,040 --> 00:07:35,320 Speaker 5: not to see Kamala Harris. And I got to say, listen, 155 00:07:35,360 --> 00:07:39,960 Speaker 5: I didn't watch the Kamala rally. I have a limit 156 00:07:40,080 --> 00:07:45,000 Speaker 5: to to masochism and how much how much just prattling 157 00:07:45,040 --> 00:07:47,280 Speaker 5: on I can endure. So I don't really know what 158 00:07:47,360 --> 00:07:50,080 Speaker 5: they said, because I like, I think I went out 159 00:07:50,120 --> 00:07:51,880 Speaker 5: and had to water my lawn instead. I just I 160 00:07:52,200 --> 00:07:55,240 Speaker 5: know there was something else I had to do. But 161 00:07:55,440 --> 00:07:59,160 Speaker 5: I did see because it's where I see an awful 162 00:07:59,200 --> 00:08:01,320 Speaker 5: lot of things in life. I did see on x 163 00:08:02,320 --> 00:08:07,720 Speaker 5: a truly horrific snippet outside of this woman who's a 164 00:08:07,760 --> 00:08:12,080 Speaker 5: Kamala Harris supporter, this young woman in her twenties who 165 00:08:12,240 --> 00:08:15,400 Speaker 5: comes up to this toddler maybe two three years old, 166 00:08:15,440 --> 00:08:19,920 Speaker 5: this little girl in a stroller and begins screaming at 167 00:08:19,920 --> 00:08:23,400 Speaker 5: the top of her lungs and cursing at this little baby. 168 00:08:23,440 --> 00:08:26,640 Speaker 5: And it was I've never seen anything like this. I mean, Ben, 169 00:08:26,800 --> 00:08:29,160 Speaker 5: have you ever seen and this is not her child? 170 00:08:29,720 --> 00:08:31,800 Speaker 1: Yeah, and this was it went It went viral for 171 00:08:31,800 --> 00:08:34,120 Speaker 1: a reason because it was just so disgusting. It was 172 00:08:34,480 --> 00:08:37,800 Speaker 1: a shocking, shocking moment, like what are you doing and 173 00:08:37,840 --> 00:08:39,800 Speaker 1: the fact that she knew people were recording it and 174 00:08:39,840 --> 00:08:40,400 Speaker 1: didn't care. 175 00:08:41,080 --> 00:08:43,760 Speaker 5: And by the way, there was another Kamala Harris supporter 176 00:08:44,400 --> 00:08:46,720 Speaker 5: next to her who actually intervened, had got in her 177 00:08:46,760 --> 00:08:49,240 Speaker 5: face and like you can't quite tell what she's saying, 178 00:08:49,240 --> 00:08:51,240 Speaker 5: but she's basically like, what the hell are you doing 179 00:08:51,520 --> 00:08:55,560 Speaker 5: You don't do this, lady, like, kudos to the woman 180 00:08:55,640 --> 00:08:58,800 Speaker 5: who intervened and stopped her. And the dad reaches over 181 00:08:58,840 --> 00:09:01,800 Speaker 5: and grabs his little girl and her up. But I 182 00:09:01,880 --> 00:09:04,400 Speaker 5: gotta say, and I don't know, I don't know this 183 00:09:04,480 --> 00:09:08,360 Speaker 5: woman's story. She's she's in her twenties. And and you know, 184 00:09:10,400 --> 00:09:12,120 Speaker 5: I just never said that. 185 00:09:12,280 --> 00:09:12,559 Speaker 6: Listen. 186 00:09:12,600 --> 00:09:15,079 Speaker 5: I was forced to retweet it and just say, this 187 00:09:15,280 --> 00:09:19,680 Speaker 5: is deranged because I have never in my life seen 188 00:09:19,760 --> 00:09:22,240 Speaker 5: anyone do this to a little child, A two three 189 00:09:22,320 --> 00:09:25,000 Speaker 5: year old little girl doesn't know what's going on. Just 190 00:09:25,040 --> 00:09:29,520 Speaker 5: this this crazy stranger. And we're not talking just to 191 00:09:30,440 --> 00:09:33,800 Speaker 5: one little comment. We're talking screaming at the top of 192 00:09:33,840 --> 00:09:37,800 Speaker 5: her lungs at a child in a stroller. And and 193 00:09:37,800 --> 00:09:40,800 Speaker 5: and listen, I think a lot of people online observed 194 00:09:41,280 --> 00:09:46,040 Speaker 5: what was my reaction, which which is there's a level 195 00:09:46,080 --> 00:09:51,160 Speaker 5: of hate, a level of radicalism that Biden and Harris 196 00:09:51,280 --> 00:09:54,920 Speaker 5: and and and the modern Democrats have inculcated in their 197 00:09:54,960 --> 00:09:58,839 Speaker 5: followers that that they've convinced them, number one, that Donald 198 00:09:58,880 --> 00:10:01,679 Speaker 5: Trump is hitler. That literally as their closing message, that 199 00:10:01,720 --> 00:10:06,920 Speaker 5: he's hitler. And they've also convinced them that anyone who 200 00:10:07,000 --> 00:10:11,240 Speaker 5: supports Trump is evil, is a Nazi as a clansman, 201 00:10:11,640 --> 00:10:14,160 Speaker 5: and apparently that extends to a two year old and 202 00:10:14,200 --> 00:10:17,959 Speaker 5: a stroller, And and look, I was horrified watching it, 203 00:10:20,520 --> 00:10:22,960 Speaker 5: But I was also just sad watching it. Sad for 204 00:10:23,040 --> 00:10:27,679 Speaker 5: a country that that that. How have we convinced? Look this, 205 00:10:28,800 --> 00:10:31,440 Speaker 5: I'm sure this young woman who screamed at this child, 206 00:10:31,520 --> 00:10:34,040 Speaker 5: I'm sure the whole world is pounded down upon her 207 00:10:34,679 --> 00:10:37,920 Speaker 5: in the days since then, and it has gone so viral. 208 00:10:38,520 --> 00:10:40,880 Speaker 5: Look when you scream at a child, bad things happened 209 00:10:40,920 --> 00:10:41,160 Speaker 5: to you. 210 00:10:41,200 --> 00:10:41,600 Speaker 6: But but. 211 00:10:43,160 --> 00:10:46,280 Speaker 5: I just viewed it as a really sad sign of 212 00:10:46,640 --> 00:10:53,640 Speaker 5: just how much hatred has infused. And look, there are 213 00:10:53,679 --> 00:10:55,760 Speaker 5: people on the right that feel that hatred as well, 214 00:10:55,800 --> 00:10:58,199 Speaker 5: but I got to tell you the intensity of it. 215 00:10:59,240 --> 00:11:02,400 Speaker 5: I haven't heard to anyone on the right say kamalas Hitler. 216 00:11:03,120 --> 00:11:06,880 Speaker 5: It's only one side that is invoking the Hitler analogies 217 00:11:06,880 --> 00:11:11,040 Speaker 5: that and you know that kind of a closing. 218 00:11:10,760 --> 00:11:11,760 Speaker 2: Argument, This is it. 219 00:11:11,840 --> 00:11:14,880 Speaker 1: This is their last thing they want you to say is, hey, 220 00:11:14,920 --> 00:11:18,199 Speaker 1: if you vote for him, you are a Nazi and 221 00:11:18,240 --> 00:11:20,920 Speaker 1: he is Hitler. And that is the closing argument for 222 00:11:20,960 --> 00:11:23,440 Speaker 1: the American people. I just don't see how that plays 223 00:11:23,440 --> 00:11:24,319 Speaker 1: well on election day. 224 00:11:24,760 --> 00:11:30,480 Speaker 5: Yeah, and it just if you're screaming at babies, you've 225 00:11:30,520 --> 00:11:34,240 Speaker 5: really kind of lost lost your footing and lost your 226 00:11:34,280 --> 00:11:37,200 Speaker 5: grounding and lost you know, what it is to be 227 00:11:37,440 --> 00:11:41,040 Speaker 5: a reasonable, compassionate, loving human being. 228 00:11:41,440 --> 00:11:43,840 Speaker 1: Now, if you want to hear the rest of this conversation, 229 00:11:44,080 --> 00:11:46,439 Speaker 1: you can go back and listen to the full podcast 230 00:11:46,520 --> 00:11:51,160 Speaker 1: from earlier this week. Now onto story number two. Let 231 00:11:51,200 --> 00:11:54,800 Speaker 1: me also ask you about the Hispanic community as well, 232 00:11:54,920 --> 00:11:58,640 Speaker 1: because the Hispanic community really seems to be talking a 233 00:11:58,679 --> 00:12:02,840 Speaker 1: lot about the issue of the border, and the border 234 00:12:02,920 --> 00:12:05,920 Speaker 1: issue is one where many in the Hispanic community have 235 00:12:05,920 --> 00:12:08,360 Speaker 1: been affected by the border. They've been affected by the fetanol, 236 00:12:08,400 --> 00:12:10,800 Speaker 1: They've been affected by the gang violence, they've been affected 237 00:12:10,800 --> 00:12:13,760 Speaker 1: by the sex trafficking, they've been affected by the violent 238 00:12:13,800 --> 00:12:16,960 Speaker 1: criminals have come across that were let go by this administration, 239 00:12:17,040 --> 00:12:21,360 Speaker 1: including those who were convicted murderers and convicted rapists. And 240 00:12:22,360 --> 00:12:27,760 Speaker 1: you're seeing now these stories that are also really connecting 241 00:12:29,040 --> 00:12:34,840 Speaker 1: with the Hispanic community, watching and witnessing what has happened 242 00:12:34,840 --> 00:12:37,120 Speaker 1: within this Hispanic community, which is a very tight knit 243 00:12:37,160 --> 00:12:41,120 Speaker 1: community historically in this country. And they are also breaking 244 00:12:41,160 --> 00:12:43,440 Speaker 1: away from the Democratic Party as well. 245 00:12:43,600 --> 00:12:45,480 Speaker 6: Yeah, and in very large numbers. 246 00:12:45,520 --> 00:12:47,679 Speaker 5: I'll tell you, in Texas and across the country, we're 247 00:12:47,760 --> 00:12:52,760 Speaker 5: seeing Hispanic voters moving right in very significant numbers, and 248 00:12:53,520 --> 00:12:54,800 Speaker 5: there are lots of reasons for it. 249 00:12:54,880 --> 00:12:56,880 Speaker 6: One of the reasons for it is economically. 250 00:12:56,920 --> 00:13:00,440 Speaker 5: The Hispanic community has been savaged by inflation and the 251 00:13:00,480 --> 00:13:04,480 Speaker 5: economic challenges that is hitting Americans across the board. 252 00:13:05,559 --> 00:13:07,160 Speaker 6: Listen, I can tell you in Texas. 253 00:13:07,600 --> 00:13:10,880 Speaker 5: If you're an Hispanic guy in South Texas and you 254 00:13:10,920 --> 00:13:13,280 Speaker 5: work in the oil fields and you drive a pickup 255 00:13:13,280 --> 00:13:16,160 Speaker 5: truck and you go bird hunting on the weekends, you're 256 00:13:16,240 --> 00:13:19,720 Speaker 5: voting for Donald Trump because Kamala Harris is doing everything 257 00:13:19,800 --> 00:13:22,880 Speaker 5: she can to destroy your livelihood. And then you put 258 00:13:22,920 --> 00:13:25,960 Speaker 5: on top of that the chaos at our southern border 259 00:13:25,960 --> 00:13:29,400 Speaker 5: and the influx of crime and releasing violent murderers and 260 00:13:29,480 --> 00:13:33,080 Speaker 5: Venezuelan gang members. I'll tell you many of the victims 261 00:13:33,120 --> 00:13:36,760 Speaker 5: of this, these crimes are themselves Hispanic. Many of the 262 00:13:36,760 --> 00:13:40,520 Speaker 5: illegal immigrants are going to heavily Hispanic neighborhoods where where 263 00:13:40,559 --> 00:13:45,160 Speaker 5: the victims are Hispanic themselves, and the Democrats have no answers. 264 00:13:45,200 --> 00:13:48,640 Speaker 5: And so I think we're seeing the Hispanic community moving right. 265 00:13:49,360 --> 00:13:50,840 Speaker 6: And I will say the contrast. 266 00:13:51,400 --> 00:13:54,680 Speaker 5: So in the closing week, Joe Biden has decided his 267 00:13:54,800 --> 00:13:57,400 Speaker 5: argument is, if you're voting for Donald Trump, your garbage. 268 00:13:58,280 --> 00:14:03,080 Speaker 5: In the closing week, Donald Trump actually just today put 269 00:14:03,120 --> 00:14:07,440 Speaker 5: out an incredibly powerful new ad, and we talked about 270 00:14:07,440 --> 00:14:10,360 Speaker 5: how on Friday I was with President Trump in Texas 271 00:14:10,720 --> 00:14:13,120 Speaker 5: and we were there with families of those who lost 272 00:14:13,160 --> 00:14:17,760 Speaker 5: loved ones to violent, criminal, illegal aliens, including Alexis Nungary, 273 00:14:18,040 --> 00:14:20,840 Speaker 5: the mom of Joscelyn Hungary. And as I mentioned, I've 274 00:14:20,880 --> 00:14:24,320 Speaker 5: gotten to know Alexis very well. She's an incredible young woman. 275 00:14:24,360 --> 00:14:27,920 Speaker 5: She's just twenty seven years old, and she's dealing with 276 00:14:28,000 --> 00:14:33,080 Speaker 5: the worst grief imaginable, and she's taken that pain which 277 00:14:33,160 --> 00:14:35,680 Speaker 5: easily could just crush you. You could just just curl up 278 00:14:35,680 --> 00:14:39,480 Speaker 5: at a ball and be unable to do anything. And 279 00:14:39,640 --> 00:14:42,520 Speaker 5: instead she's taken all of that pain and she's channeled 280 00:14:42,560 --> 00:14:46,800 Speaker 5: it into being a voice for Joscelyn, speaking out for Joscelyn. 281 00:14:47,120 --> 00:14:49,760 Speaker 5: And look, Alexis has told me listen, she knows she 282 00:14:49,800 --> 00:14:52,720 Speaker 5: can't bring Joscelyn back, but if she can speak out 283 00:14:52,720 --> 00:14:56,360 Speaker 5: and change the policies, maybe she can save another little girl. 284 00:14:56,400 --> 00:14:59,920 Speaker 5: Maybe she can save another mom from enduring the grief 285 00:15:00,080 --> 00:15:05,120 Speaker 5: and sorrow and misery of losing your child. And so 286 00:15:05,200 --> 00:15:08,760 Speaker 5: I want you, I want you to listen to this 287 00:15:08,840 --> 00:15:12,440 Speaker 5: ad And it's just an extended interview with Alexis the 288 00:15:12,440 --> 00:15:16,080 Speaker 5: Trump campaign just put out because it really does sum 289 00:15:16,160 --> 00:15:21,120 Speaker 5: up the human cost of Kamala Harris's open borders and 290 00:15:21,200 --> 00:15:22,520 Speaker 5: the suffering. 291 00:15:22,400 --> 00:15:23,120 Speaker 6: That is happening. 292 00:15:24,240 --> 00:15:27,200 Speaker 7: Sunday night, I asked her to not stay up super 293 00:15:27,280 --> 00:15:30,520 Speaker 7: late because of her coming to work with me in 294 00:15:30,560 --> 00:15:35,320 Speaker 7: the morning first to do her summer school. She said okay, 295 00:15:35,600 --> 00:15:37,600 Speaker 7: and I told her good night and I love you. 296 00:15:38,120 --> 00:15:41,280 Speaker 7: I went to bed, not realizing that that was going 297 00:15:41,360 --> 00:15:42,680 Speaker 7: to be the last time I saw her. 298 00:15:43,840 --> 00:15:49,840 Speaker 6: We're best friend, were thinking again. 299 00:15:51,240 --> 00:15:54,760 Speaker 7: I woke up to notice she wasn't in her bread. 300 00:15:55,880 --> 00:15:58,600 Speaker 7: I'm in my heart trying not to lose my mind 301 00:15:58,720 --> 00:16:02,760 Speaker 7: because I don't know where she is. I finally remembered 302 00:16:02,800 --> 00:16:05,960 Speaker 7: her phone had a location on and her phone was 303 00:16:06,000 --> 00:16:10,200 Speaker 7: pinging just two minutes down the road, right behind the skatepark. 304 00:16:11,200 --> 00:16:14,920 Speaker 7: I start driving to the direction of the phone was 305 00:16:14,920 --> 00:16:18,400 Speaker 7: being pinged at, and I see a couple of cop 306 00:16:18,440 --> 00:16:23,000 Speaker 7: cars with lights on. I see yellow tape and immediately 307 00:16:23,080 --> 00:16:27,040 Speaker 7: my heart drops and sinks to the bottom of my stomach. 308 00:16:29,160 --> 00:16:33,320 Speaker 7: My daughter's hands and ankles were both bound. She was 309 00:16:33,360 --> 00:16:38,760 Speaker 7: strangled to death with left with no pants, and I 310 00:16:38,840 --> 00:16:44,440 Speaker 7: know in my heart she fought incredibly hard. She was 311 00:16:44,480 --> 00:16:47,720 Speaker 7: not going down without a fight. 312 00:16:50,640 --> 00:16:52,960 Speaker 5: We begin with two men. We're learning our charge with 313 00:16:53,080 --> 00:16:56,000 Speaker 5: capital murder Tonight accused of killing a twelve. 314 00:16:55,760 --> 00:16:59,920 Speaker 2: Year old girl, strangled her before dumping her into that 315 00:17:00,480 --> 00:17:03,040 Speaker 2: Both men were in the country illegally. 316 00:17:02,560 --> 00:17:05,440 Speaker 1: Apprehended than released by border patrol less. 317 00:17:05,200 --> 00:17:07,280 Speaker 2: Than three weeks before Jocelyn's dad. 318 00:17:07,359 --> 00:17:10,840 Speaker 1: Man accused of killing Joscelyn Nungray are affiliated with the 319 00:17:10,920 --> 00:17:13,000 Speaker 1: gang known for brutal violence. 320 00:17:14,119 --> 00:17:18,320 Speaker 7: Kamala Harris was in charge of immigration in our borders. 321 00:17:18,560 --> 00:17:22,840 Speaker 7: If we had better border policies and not open borders 322 00:17:22,840 --> 00:17:27,240 Speaker 7: and not these catch and release policies. I truly believe 323 00:17:27,720 --> 00:17:31,560 Speaker 7: this all could have been prevented under her being Vice 324 00:17:31,600 --> 00:17:37,600 Speaker 7: president of this country. My daughter's life was ripped away 325 00:17:37,600 --> 00:17:40,560 Speaker 7: from her. She had her entire life ahead of her. 326 00:17:46,119 --> 00:17:49,840 Speaker 7: My daughter is six feet in the ground based off 327 00:17:49,880 --> 00:17:54,680 Speaker 7: of policies that she allowed to keep. Kamala Harris did 328 00:17:54,720 --> 00:18:00,760 Speaker 7: have one job and she not only failed, not me, 329 00:18:01,000 --> 00:18:05,320 Speaker 7: she failed my daughter. She filled Joscelyn. You know she 330 00:18:05,440 --> 00:18:10,720 Speaker 7: was only twelve. President Trump reached out gave me his 331 00:18:10,840 --> 00:18:14,960 Speaker 7: sincereous condolences as not a former president, but just as 332 00:18:14,960 --> 00:18:19,280 Speaker 7: a father, someone who cares. I believe Donald Trump needs 333 00:18:19,320 --> 00:18:22,080 Speaker 7: to be back in office. I can at least know 334 00:18:23,320 --> 00:18:27,240 Speaker 7: that my next child will be safe in this country. 335 00:18:27,840 --> 00:18:32,560 Speaker 1: Senator, I've not seen a more powerful ad in my lifetime, 336 00:18:33,720 --> 00:18:36,520 Speaker 1: and especially and we'll put it up on social media 337 00:18:36,760 --> 00:18:40,720 Speaker 1: because you need to watch it. Because you see this 338 00:18:40,840 --> 00:18:43,280 Speaker 1: mother telling your story and you see the pictures of 339 00:18:43,359 --> 00:18:47,760 Speaker 1: her daughter. And if this is the closing argument for 340 00:18:48,280 --> 00:18:51,840 Speaker 1: Donald Trump's campaign, it is the most powerful one I 341 00:18:51,880 --> 00:18:52,800 Speaker 1: think he could have used. 342 00:18:54,000 --> 00:18:54,200 Speaker 6: Yeah. 343 00:18:54,280 --> 00:18:58,680 Speaker 5: Look, I have sat in her living room. I've sat 344 00:18:59,600 --> 00:19:02,880 Speaker 5: with a le Exus, Jocelyn's mom. I've sat with with Kelvin, 345 00:19:02,960 --> 00:19:07,520 Speaker 5: Jocelyn's grandfather, as they've told me that they shared those 346 00:19:07,560 --> 00:19:10,320 Speaker 5: same stories, just just one on one with me, and 347 00:19:10,320 --> 00:19:16,600 Speaker 5: and and the agony. I every time I see her 348 00:19:16,800 --> 00:19:21,680 Speaker 5: talk about Joscelyn, it just it. This is the very 349 00:19:21,760 --> 00:19:25,960 Speaker 5: real cost. And I got to say, it's a very 350 00:19:25,960 --> 00:19:30,080 Speaker 5: different message than than than Kamalin Joe Biden's closing argument. 351 00:19:31,119 --> 00:19:31,359 Speaker 2: Uh. 352 00:19:31,440 --> 00:19:35,159 Speaker 1: Finally, Senator Donald Trump Is is not just running a 353 00:19:35,200 --> 00:19:39,840 Speaker 1: campaign and and doing the speeches. He is continuing to 354 00:19:39,920 --> 00:19:44,280 Speaker 1: announce new policies for his administration. If you wins, and 355 00:19:44,440 --> 00:19:46,639 Speaker 1: one of them I hit a nerve with a lot 356 00:19:46,720 --> 00:19:49,960 Speaker 1: of Americans in a positive way today when he said 357 00:19:50,040 --> 00:19:53,960 Speaker 1: this about the victims of the cartels. 358 00:19:54,480 --> 00:19:58,440 Speaker 3: So today I'm announcing that, for the first time under 359 00:19:58,440 --> 00:20:01,439 Speaker 3: my administration, we will she's using the assets of the 360 00:20:01,520 --> 00:20:08,240 Speaker 3: criminal gangs and drug cartels, and we will use those 361 00:20:08,280 --> 00:20:11,919 Speaker 3: assets to create a compensation fund. 362 00:20:11,640 --> 00:20:16,400 Speaker 4: To provide restitution for the victims of migrant crime. 363 00:20:16,440 --> 00:20:20,600 Speaker 3: And the government will help in the restoration. The government 364 00:20:20,680 --> 00:20:22,160 Speaker 3: will help in the restitution. 365 00:20:25,240 --> 00:20:27,879 Speaker 2: I mean, that's what Americans want. They want action. 366 00:20:28,320 --> 00:20:31,320 Speaker 5: Yes, yes, that Look, that's exactly the right thing to do. 367 00:20:31,760 --> 00:20:34,359 Speaker 5: And it's the reason why Jocelyn. Look, it's only been 368 00:20:34,800 --> 00:20:36,720 Speaker 5: or why Alexis, it's only been a couple of months 369 00:20:36,720 --> 00:20:40,920 Speaker 5: since since Jocelyn was killed. Can you imagine a mom 370 00:20:41,160 --> 00:20:43,520 Speaker 5: standing up and speaking out like she is. It's the 371 00:20:43,600 --> 00:20:46,600 Speaker 5: reason she's pouring herself into this is because there's a 372 00:20:46,680 --> 00:20:50,800 Speaker 5: chance to change this. There's a chance to prevent the 373 00:20:50,840 --> 00:20:53,520 Speaker 5: next victim, the next little girl, the next little boy, 374 00:20:53,520 --> 00:20:57,520 Speaker 5: from being killed and Number one, President Trump is promising 375 00:20:57,560 --> 00:20:59,920 Speaker 5: as he did before. Look when he was president last time, 376 00:21:00,320 --> 00:21:02,640 Speaker 5: I worked hand in hand with him, and we had 377 00:21:02,720 --> 00:21:08,120 Speaker 5: incredible success securing the border. We achieved the lowest rate 378 00:21:08,160 --> 00:21:11,920 Speaker 5: of illegal immigration in forty five years. It's a very 379 00:21:11,960 --> 00:21:15,119 Speaker 5: simple message. We did it before, We'll do it again. 380 00:21:15,520 --> 00:21:19,280 Speaker 5: And I think expanding it as he's suggesting to say, 381 00:21:19,320 --> 00:21:22,439 Speaker 5: we're going to seize the assets of these criminal gangs, 382 00:21:22,480 --> 00:21:24,320 Speaker 5: of these drug cartails, and we're going to use the 383 00:21:24,400 --> 00:21:28,960 Speaker 5: assets to compensate the victims and the victims' families. I 384 00:21:29,000 --> 00:21:32,000 Speaker 5: think that is fair, that is right, that is just, 385 00:21:33,040 --> 00:21:35,639 Speaker 5: and it is the difference between a leader who's actually 386 00:21:35,640 --> 00:21:39,359 Speaker 5: trying to keep people safe and what Kamala Harris is doing, 387 00:21:39,359 --> 00:21:42,760 Speaker 5: which is putting her own partisan political interest above the 388 00:21:42,800 --> 00:21:45,480 Speaker 5: safety and well being of American families. 389 00:21:46,000 --> 00:21:47,920 Speaker 1: As before, if you want to hear the rest of 390 00:21:47,960 --> 00:21:50,840 Speaker 1: this conversation on this topic, you can go back and 391 00:21:50,920 --> 00:21:53,359 Speaker 1: dow the podcast from earlier this week to hear the 392 00:21:53,520 --> 00:21:54,120 Speaker 1: entire thing. 393 00:21:55,400 --> 00:21:56,480 Speaker 2: I want to get back. 394 00:21:56,280 --> 00:21:58,480 Speaker 1: To the big story number three of the week you 395 00:21:58,520 --> 00:22:02,159 Speaker 1: may have missed. Let me ask you another question, and 396 00:22:02,240 --> 00:22:05,560 Speaker 1: this is about people that are really concerned about the 397 00:22:05,600 --> 00:22:09,600 Speaker 1: election coming up and we have now got a headline. 398 00:22:09,840 --> 00:22:12,120 Speaker 1: And there's two parts of this headline that will drive 399 00:22:12,160 --> 00:22:17,240 Speaker 1: you insane. Number one, a Chinese foreign exchange student has 400 00:22:17,280 --> 00:22:21,480 Speaker 1: been charged with multiple crimes. That's good news for illegally 401 00:22:21,680 --> 00:22:27,000 Speaker 1: voting in Michigan on Sunday. Now again the headline there, 402 00:22:27,000 --> 00:22:28,919 Speaker 1: you would think to yourself, well, this is great news. 403 00:22:29,000 --> 00:22:32,159 Speaker 1: We had a guy that was illegally voting, we caught him. 404 00:22:32,560 --> 00:22:37,440 Speaker 1: It's not going to count. The problem is Michigan can't 405 00:22:37,600 --> 00:22:41,160 Speaker 1: and won't disqualify an a legal vote cast by this 406 00:22:41,280 --> 00:22:46,199 Speaker 1: Chinese national because quote it's already been put through a tabulator. 407 00:22:46,640 --> 00:22:50,080 Speaker 2: So Michigan says, hey, it counts. So there is. 408 00:22:50,080 --> 00:22:52,160 Speaker 1: Someone that's going to show up and vote in Michigan 409 00:22:52,560 --> 00:22:54,920 Speaker 1: and their voter is going to be canceled out by 410 00:22:55,040 --> 00:22:58,560 Speaker 1: a Chinese foreign exchange student that has been charged with 411 00:22:58,640 --> 00:23:01,600 Speaker 1: multiple crimes for illegally vote voting. But it still gets 412 00:23:01,640 --> 00:23:04,800 Speaker 1: canceled out. And yet Democrats are still sitting there saying 413 00:23:04,840 --> 00:23:07,639 Speaker 1: it's racist. If you say you have to show an 414 00:23:07,640 --> 00:23:09,080 Speaker 1: ID before you vote. 415 00:23:09,920 --> 00:23:15,640 Speaker 5: Well, it's infuriating. And understand why this happened. This happened 416 00:23:15,680 --> 00:23:17,240 Speaker 5: because the Democrats in Michigan. 417 00:23:17,280 --> 00:23:17,880 Speaker 6: Passed a law. 418 00:23:17,880 --> 00:23:21,560 Speaker 5: Their voter ID law allows people to show a current 419 00:23:21,920 --> 00:23:26,640 Speaker 5: student photo ID card from an educational institution in order 420 00:23:26,680 --> 00:23:29,959 Speaker 5: to vote. Now, the only problem is you don't have 421 00:23:30,040 --> 00:23:32,240 Speaker 5: to be an American citizen to get a student ID. 422 00:23:32,400 --> 00:23:34,919 Speaker 5: In this case, you had a Chinese national who was 423 00:23:34,960 --> 00:23:37,159 Speaker 5: from China. He had a student ID. It could be 424 00:23:37,240 --> 00:23:42,520 Speaker 5: a student that's allowed, but Chinese nationals are not allowed 425 00:23:42,560 --> 00:23:46,960 Speaker 5: to vote in American elections. And yet this individual did so. 426 00:23:47,040 --> 00:23:51,359 Speaker 5: He voted while it was illegal. Two charges against a 427 00:23:51,440 --> 00:23:54,760 Speaker 5: nineteen year old student. He was not identified, but he 428 00:23:54,840 --> 00:23:57,720 Speaker 5: is not a US citizen and he's being charged. And 429 00:23:57,960 --> 00:24:03,520 Speaker 5: the reason that this is happening is because Democrats don't 430 00:24:03,560 --> 00:24:06,320 Speaker 5: want you actually to have to prove you're a citizen. 431 00:24:06,600 --> 00:24:10,080 Speaker 5: You know, there was legislation called the Save Act, the 432 00:24:10,119 --> 00:24:12,720 Speaker 5: Save Act. They voted on it in the House of Representatives, 433 00:24:13,080 --> 00:24:17,439 Speaker 5: and the Democrats on essentially a straight party line vote, 434 00:24:17,840 --> 00:24:21,040 Speaker 5: Democrat after Democrat after Democrat voted no. The Save Act 435 00:24:21,119 --> 00:24:23,040 Speaker 5: was very simple. It said you have to demonstrate, you 436 00:24:23,040 --> 00:24:24,840 Speaker 5: have to prove you're a citizen in order to register 437 00:24:24,880 --> 00:24:28,840 Speaker 5: to vote. It's common sense, and yet part of the 438 00:24:28,880 --> 00:24:31,600 Speaker 5: one of the reasons the Democrats voted no Is. They claimed, Oh, 439 00:24:31,640 --> 00:24:34,120 Speaker 5: this is not a problem, no non citizens vote. Well, 440 00:24:34,560 --> 00:24:37,400 Speaker 5: tell that to the Chinese national who just voted in Michigan. 441 00:24:37,640 --> 00:24:41,119 Speaker 5: And infuriatingly enough, the Michigan officials say, oh, and by 442 00:24:41,160 --> 00:24:43,320 Speaker 5: the way, his vote's going to cast it's easy illegal. 443 00:24:44,840 --> 00:24:48,120 Speaker 5: He can't vote legally, and yet we've already tabulated his vote. 444 00:24:48,119 --> 00:24:51,520 Speaker 5: That's what the Michigan officials are saying. And I'll tell you, 445 00:24:51,560 --> 00:24:53,919 Speaker 5: I'll bet you a large sum of money, ben that 446 00:24:54,000 --> 00:24:58,959 Speaker 5: the candidate he voted for rhymes with Hamila Icarus. And 447 00:24:59,040 --> 00:25:02,240 Speaker 5: yet magically that's going to be included in the vote 448 00:25:02,280 --> 00:25:05,400 Speaker 5: to Ellis for Michigan, one of the key swing states. 449 00:25:06,520 --> 00:25:11,560 Speaker 5: And that's sadly an outcome I think the Democrats want. 450 00:25:12,200 --> 00:25:14,720 Speaker 1: Well, let's go back to the Save Act for a moment. 451 00:25:14,880 --> 00:25:18,720 Speaker 1: And this I've heard and had more people come up 452 00:25:18,720 --> 00:25:21,479 Speaker 1: to me, and I'm assuming you have as well. But 453 00:25:21,800 --> 00:25:23,880 Speaker 1: I'm interested to see where people say, Man, I feel 454 00:25:23,920 --> 00:25:24,960 Speaker 1: like we're gonna win this one. 455 00:25:25,440 --> 00:25:26,720 Speaker 2: I feel like we're on good footing. 456 00:25:26,720 --> 00:25:30,520 Speaker 1: I feel like moments this way, unless they cheat, unless 457 00:25:30,600 --> 00:25:33,919 Speaker 1: they unless something happens where they cheat, you get a 458 00:25:33,960 --> 00:25:36,600 Speaker 1: story like this, and you see that the person was 459 00:25:36,680 --> 00:25:40,399 Speaker 1: caught voting illegally. Everybody knows the legal next. Sorry, it 460 00:25:40,480 --> 00:25:42,840 Speaker 1: already went through the tabulator. We can't take it out now, 461 00:25:42,920 --> 00:25:46,800 Speaker 1: so it's gonna count. This is why so many Americans, 462 00:25:46,920 --> 00:25:50,760 Speaker 1: I think now have no confidence in our election system. 463 00:25:50,880 --> 00:25:53,600 Speaker 1: And again, this goes back to what you guys try 464 00:25:53,640 --> 00:25:57,320 Speaker 1: to do in Congress with a Save Act. Remind people 465 00:25:57,359 --> 00:26:00,720 Speaker 1: of how simple that would have been for us to 466 00:26:00,760 --> 00:26:03,959 Speaker 1: be able to protect the votes of American citizens. 467 00:26:05,440 --> 00:26:07,680 Speaker 5: It was a simple requirement that you have to demonstrate 468 00:26:07,680 --> 00:26:11,760 Speaker 5: American citizenship to register to vote. And that's basic common sense, 469 00:26:11,800 --> 00:26:15,000 Speaker 5: which is why the Democrats as a party are against it. 470 00:26:15,560 --> 00:26:19,480 Speaker 5: If they don't want non citizens to vote, why are 471 00:26:19,520 --> 00:26:23,280 Speaker 5: they opposed to demonstrating you're a citizen before you register 472 00:26:23,359 --> 00:26:26,840 Speaker 5: to vote. The answer is obvious. But look, here's the 473 00:26:26,840 --> 00:26:30,440 Speaker 5: good news. The good news is historically voter fraud is 474 00:26:30,480 --> 00:26:33,000 Speaker 5: only mattered at the margins. It's only mattered when it 475 00:26:33,080 --> 00:26:36,960 Speaker 5: was close, which means in states across this country, particularly 476 00:26:37,000 --> 00:26:40,880 Speaker 5: swing states in Michigan, Pennsylvania, Wisconsin, we got to win 477 00:26:40,960 --> 00:26:43,520 Speaker 5: by a big enough margin. They can't steal it. Will 478 00:26:43,560 --> 00:26:47,879 Speaker 5: You see unscrupulous Democrats trying to steal votes absolutely. It 479 00:26:47,880 --> 00:26:50,960 Speaker 5: has happened every election for as long as we've had elections. 480 00:26:51,520 --> 00:26:54,560 Speaker 5: But the best way a we should do what we 481 00:26:54,600 --> 00:26:56,320 Speaker 5: can to fight it and prevent it be we should 482 00:26:56,320 --> 00:26:57,879 Speaker 5: pass laws to make it more difficult. 483 00:26:58,119 --> 00:26:59,160 Speaker 6: But we're four days out. 484 00:26:59,760 --> 00:27:02,399 Speaker 5: Real answer now is that we need to turn voters 485 00:27:02,440 --> 00:27:04,840 Speaker 5: out in every state in the country and win by 486 00:27:04,840 --> 00:27:08,719 Speaker 5: such a big margin that nobody can steal the result. 487 00:27:08,760 --> 00:27:11,520 Speaker 5: As Trump puts it, make it too big to rig. 488 00:27:11,600 --> 00:27:13,880 Speaker 5: That's got to be at this point. That has got 489 00:27:13,920 --> 00:27:15,000 Speaker 5: to be the number one approach. 490 00:27:16,080 --> 00:27:19,840 Speaker 1: Senator, final question for you, and this is an election question. 491 00:27:20,560 --> 00:27:24,960 Speaker 1: There is massive early voting numbers that are coming in 492 00:27:25,720 --> 00:27:30,000 Speaker 1: around the country. There are two thoughts on this, and 493 00:27:30,040 --> 00:27:33,520 Speaker 1: we see that women in swing states are outpacing men 494 00:27:34,359 --> 00:27:37,920 Speaker 1: by about ten percent when it comes to the votes 495 00:27:37,960 --> 00:27:42,040 Speaker 1: that are coming in early voting. Democrats say this is great. 496 00:27:42,080 --> 00:27:44,119 Speaker 1: It means that women are showing up and they're voting 497 00:27:44,119 --> 00:27:45,919 Speaker 1: on the issue of abortion, which means they're going to 498 00:27:45,960 --> 00:27:49,840 Speaker 1: vote for Kamwa Harris and other Democrats. And then there's others. 499 00:27:49,880 --> 00:27:52,680 Speaker 1: That's a hold on a second, not so fast. Conservatives 500 00:27:52,720 --> 00:27:55,800 Speaker 1: are voting earlier now and a lot of single mothers 501 00:27:55,840 --> 00:27:58,200 Speaker 1: may be voting early, and a lot of mothers are 502 00:27:58,240 --> 00:28:01,120 Speaker 1: struggling with the economy. What is your gut on this, 503 00:28:01,200 --> 00:28:03,200 Speaker 1: because I don't think it's a bunch of people showing 504 00:28:03,280 --> 00:28:05,600 Speaker 1: up on the abortion issue. 505 00:28:05,880 --> 00:28:08,800 Speaker 5: Well, look, I think it probably varies state by state, 506 00:28:08,960 --> 00:28:13,840 Speaker 5: and so I don't know the data. In the swing states. 507 00:28:13,880 --> 00:28:16,159 Speaker 5: I will say right now, there is a real and 508 00:28:16,240 --> 00:28:20,360 Speaker 5: meaningful gender gap in terms of the votes that if 509 00:28:20,359 --> 00:28:24,080 Speaker 5: you look at it, Republicans right now are winning married men, 510 00:28:24,400 --> 00:28:29,640 Speaker 5: Republicans are winning single men, and Republicans are winning married women. However, 511 00:28:29,960 --> 00:28:33,880 Speaker 5: Republicans are badly losing single women, that is in terms 512 00:28:33,920 --> 00:28:38,880 Speaker 5: of national polling. So one of the questions that I 513 00:28:38,880 --> 00:28:41,840 Speaker 5: would have, and this is where it's hard to generalize 514 00:28:41,880 --> 00:28:44,440 Speaker 5: from data without knowing specifics, but I would be very 515 00:28:44,480 --> 00:28:47,840 Speaker 5: interested in the states where you're seeing a significantly larger 516 00:28:47,880 --> 00:28:50,520 Speaker 5: number of women than men showing up early. I would 517 00:28:50,560 --> 00:28:54,240 Speaker 5: be very interested in the breakdown between married women, married women, 518 00:28:54,280 --> 00:28:57,160 Speaker 5: and single women, because there's a significant difference in their 519 00:28:57,240 --> 00:28:59,840 Speaker 5: voting pattern. I can tell you also, at least in 520 00:28:59,840 --> 00:29:02,640 Speaker 5: the state of Texas where early voting is happening, we're 521 00:29:02,680 --> 00:29:06,360 Speaker 5: not seeing a significant differential between women and men. We're 522 00:29:06,400 --> 00:29:08,840 Speaker 5: seeing about equal numbers of both voting in the state 523 00:29:08,880 --> 00:29:11,240 Speaker 5: of Texas. I don't know about the other states. I 524 00:29:11,280 --> 00:29:16,080 Speaker 5: haven't studied the numbers there, but it is difficult to generalize. Look, 525 00:29:16,080 --> 00:29:19,760 Speaker 5: it's possible if you get a bunch of single women 526 00:29:19,800 --> 00:29:22,600 Speaker 5: who are voting Democrats showing up in large numbers, that 527 00:29:22,800 --> 00:29:25,280 Speaker 5: is a good data point for Kamala Harris. I don't 528 00:29:25,320 --> 00:29:27,000 Speaker 5: know if that's the case or not. It may be 529 00:29:27,240 --> 00:29:29,160 Speaker 5: that you have a bunch of conservative women, you have 530 00:29:29,200 --> 00:29:31,080 Speaker 5: a bunch of married women who are coming out to 531 00:29:31,160 --> 00:29:34,160 Speaker 5: vote for Donald Trump. You were right that Republicans are 532 00:29:34,200 --> 00:29:39,360 Speaker 5: voting early and significantly greater frequency than they did previously, 533 00:29:39,360 --> 00:29:41,240 Speaker 5: and I think one of the big reasons for that 534 00:29:41,400 --> 00:29:44,000 Speaker 5: is that Trump asked them to and the Republican Party 535 00:29:44,040 --> 00:29:46,920 Speaker 5: is making a very concerted effort to encourage people to 536 00:29:47,000 --> 00:29:50,800 Speaker 5: vote early. So that one data point on its own, 537 00:29:50,840 --> 00:29:53,400 Speaker 5: it's hard to generalize about. You really need to drill 538 00:29:53,480 --> 00:29:55,400 Speaker 5: down more deeply into the data. 539 00:29:55,480 --> 00:29:58,800 Speaker 1: As always, thank you for listening to Verdict with Center, 540 00:29:58,840 --> 00:30:01,080 Speaker 1: Ted Cruz Ben Fir. Listen whether you don't forget to 541 00:30:01,120 --> 00:30:03,120 Speaker 1: deal with my podcast, and you can listen to my 542 00:30:03,160 --> 00:30:05,320 Speaker 1: podcasts every other day. You're not listening to Verdict or 543 00:30:05,400 --> 00:30:08,000 Speaker 1: each day when you listen to Verdict. Afterwards, I'd love 544 00:30:08,000 --> 00:30:10,120 Speaker 1: to have you as a listener to again the Ben 545 00:30:10,200 --> 00:30:12,920 Speaker 1: Ferguson podcasts and we will see you back here on 546 00:30:13,040 --> 00:30:13,720 Speaker 1: Monday morning.