1 00:00:01,200 --> 00:00:03,960 Speaker 1: What a week. Welcome it is Verdict with Ted Cruz 2 00:00:04,040 --> 00:00:07,120 Speaker 1: the Week in Review, Ben Ferguson with you as always, 3 00:00:07,160 --> 00:00:09,520 Speaker 1: and there were some major stories this week that you 4 00:00:09,560 --> 00:00:11,879 Speaker 1: may have missed that we talked about that I want 5 00:00:11,880 --> 00:00:15,640 Speaker 1: to make sure you heard exactly what happened here on Verdict. 6 00:00:15,680 --> 00:00:20,440 Speaker 1: First up, Kamala decides to steal intellectual property from Donald Trump, 7 00:00:20,480 --> 00:00:22,960 Speaker 1: you know, like his ideas, and act like they're her own, 8 00:00:23,520 --> 00:00:26,680 Speaker 1: this time claiming that she is the one that is 9 00:00:26,720 --> 00:00:29,680 Speaker 1: going to not tax tips, even though it was actually 10 00:00:29,840 --> 00:00:33,479 Speaker 1: her idea, and she broke the tie in the Senate 11 00:00:34,000 --> 00:00:37,560 Speaker 1: with her vote to actually have the irs go after 12 00:00:37,640 --> 00:00:41,480 Speaker 1: people that were not reporting quote all of their taxes 13 00:00:41,720 --> 00:00:46,040 Speaker 1: on their tips. Up next, the media continues its massive 14 00:00:46,120 --> 00:00:50,480 Speaker 1: billion dollar in kind donation to Kamala Harris by smearing 15 00:00:50,600 --> 00:00:54,280 Speaker 1: this week Donald Trump and Elon Musk because they couldn't 16 00:00:54,320 --> 00:00:57,360 Speaker 1: control the interview they did. Yeah, they sat down, had 17 00:00:57,360 --> 00:01:01,200 Speaker 1: a nice conversation and the media lost their minds over it. 18 00:01:01,640 --> 00:01:05,320 Speaker 1: And finally, more terrorists on the watch list coming across 19 00:01:05,400 --> 00:01:10,040 Speaker 1: our southern border. This time the borders are didn't stop 20 00:01:10,080 --> 00:01:15,040 Speaker 1: a Palestinian bomb maker and then she acts like nothing's wrong. 21 00:01:15,200 --> 00:01:19,240 Speaker 1: It's the Weekend Review, and it starts right now. Donald 22 00:01:19,280 --> 00:01:23,720 Speaker 1: Trump seized on something that was very authentic and organic. 23 00:01:24,319 --> 00:01:27,440 Speaker 1: He was out in Vegas. He was having a conversation 24 00:01:27,560 --> 00:01:30,360 Speaker 1: with people in the service industry. He had an idea, 25 00:01:30,400 --> 00:01:34,679 Speaker 1: apparently wrote it on a napkin. We shouldn't tax tips, 26 00:01:35,080 --> 00:01:38,959 Speaker 1: help people survive, help people make a living. And he 27 00:01:39,080 --> 00:01:41,200 Speaker 1: said it at a rally and it just work and 28 00:01:41,280 --> 00:01:44,080 Speaker 1: it stuck and people loved it because he was a 29 00:01:44,120 --> 00:01:47,120 Speaker 1: guy looking out for the little guy. He was advocating 30 00:01:47,160 --> 00:01:49,640 Speaker 1: for these hard working people that rely on tips as 31 00:01:49,680 --> 00:01:53,960 Speaker 1: part of their income, and it obviously played well with 32 00:01:54,040 --> 00:01:57,080 Speaker 1: many people in this country. Fast forward to a few 33 00:01:57,160 --> 00:01:59,920 Speaker 1: days ago. Kama here says the same thing. 34 00:02:00,120 --> 00:02:02,240 Speaker 2: Well, and let me give a little more narrative on that. 35 00:02:02,320 --> 00:02:05,800 Speaker 2: So Trump announced it at the Vegas rally. And and 36 00:02:05,880 --> 00:02:07,960 Speaker 2: I think the next week he was in DC and 37 00:02:08,240 --> 00:02:09,720 Speaker 2: I had lunch with him. He had lunch with all 38 00:02:09,720 --> 00:02:12,320 Speaker 2: the Republican senators. He was actually telling us the backstory 39 00:02:12,360 --> 00:02:14,760 Speaker 2: of it, and and and he said, well, you know, 40 00:02:14,800 --> 00:02:17,359 Speaker 2: this was not an idea that came from a bunch 41 00:02:17,400 --> 00:02:19,679 Speaker 2: of policy experts that had a bunch of white papers. 42 00:02:20,680 --> 00:02:23,440 Speaker 2: He said, he was in Vegas, right before the rally, 43 00:02:23,480 --> 00:02:25,160 Speaker 2: and he said he was having I think lunch or dinner. 44 00:02:25,160 --> 00:02:27,320 Speaker 2: I think it was lunch. And he said, there was 45 00:02:27,360 --> 00:02:31,800 Speaker 2: a waitress who came up who complained about the really 46 00:02:31,840 --> 00:02:37,520 Speaker 2: oppressive enforcement from Joe Biden Kamala Harris of their efforts 47 00:02:37,520 --> 00:02:39,679 Speaker 2: to tax tips, and how it was really burdened some 48 00:02:39,760 --> 00:02:42,160 Speaker 2: of the record keeping and it was really hard and 49 00:02:42,160 --> 00:02:44,520 Speaker 2: and and Trump says, at dinner, pulled out a piece 50 00:02:44,560 --> 00:02:47,200 Speaker 2: of paper and just wrote down, no taxes on tips. 51 00:02:47,720 --> 00:02:49,520 Speaker 2: And then he said he went to the rally and 52 00:02:49,560 --> 00:02:52,160 Speaker 2: he just said it, and he said, and they went wild, 53 00:02:52,600 --> 00:02:58,320 Speaker 2: They went wild. I got to say, there are moments 54 00:02:58,360 --> 00:03:01,919 Speaker 2: I think of political genie, and I think that was 55 00:03:01,960 --> 00:03:05,839 Speaker 2: one of them. So the next week I introduced legislation 56 00:03:06,000 --> 00:03:10,160 Speaker 2: in the Senate to exempt tips from taxes because I 57 00:03:10,200 --> 00:03:13,360 Speaker 2: heard that idea, and it's exactly right. And the reason 58 00:03:13,400 --> 00:03:16,200 Speaker 2: I introduced legislation, there are a lot of reasons, but 59 00:03:16,240 --> 00:03:18,919 Speaker 2: one right at the heart is for over a decade, 60 00:03:18,960 --> 00:03:20,720 Speaker 2: for as long as I've been in the Senate, I 61 00:03:20,760 --> 00:03:23,840 Speaker 2: have been advocating that the Republican Party, we should be 62 00:03:24,160 --> 00:03:26,800 Speaker 2: a blue collar party. We should be the party of 63 00:03:26,880 --> 00:03:29,640 Speaker 2: waiters and waitresses. We should be the party of bartenders. 64 00:03:29,800 --> 00:03:33,240 Speaker 2: We should be the party of hairdressers and nail salon 65 00:03:33,320 --> 00:03:37,800 Speaker 2: workers and taxi cab drivers and and and everyone who 66 00:03:37,920 --> 00:03:41,960 Speaker 2: has callouses on their hands because they're working hard. And 67 00:03:42,560 --> 00:03:46,000 Speaker 2: it is a policy. The contrast is night and day. 68 00:03:46,040 --> 00:03:47,840 Speaker 2: That's who we should be fighting for. And you know 69 00:03:47,920 --> 00:03:51,080 Speaker 2: it's striking. I introduced that legislation. It's got a number 70 00:03:51,080 --> 00:03:53,680 Speaker 2: of co sponsors. You know who also joined it. Here's 71 00:03:53,720 --> 00:03:59,720 Speaker 2: that both Democrat senators from Nevada, really Jackie rosen Uh 72 00:04:00,000 --> 00:04:04,200 Speaker 2: and Catherine Cortez Masto both joined my legislation because about 73 00:04:04,200 --> 00:04:08,560 Speaker 2: twenty five percent of the workers in Nevada are tipped workers. 74 00:04:09,040 --> 00:04:11,440 Speaker 2: And I got to say my reaction when I heard 75 00:04:11,560 --> 00:04:14,520 Speaker 2: him make that proposal, I said, Donald Trump will carry 76 00:04:14,560 --> 00:04:18,240 Speaker 2: Nevada on that policy issue. By the way, the culinary 77 00:04:18,320 --> 00:04:21,800 Speaker 2: union has come out emphatically in support of Trump's proposal, 78 00:04:21,839 --> 00:04:27,520 Speaker 2: emphatically in support of my legislation exempting tips from taxes. 79 00:04:28,200 --> 00:04:31,240 Speaker 2: And so this week here's Kamala Harris. I want you 80 00:04:31,279 --> 00:04:35,920 Speaker 2: to give a listen, first to Trump in Nevada announcing 81 00:04:35,920 --> 00:04:39,800 Speaker 2: the policy proposal, and then Kamala just shamelessly copying him. 82 00:04:39,800 --> 00:04:40,600 Speaker 2: Give a listen. 83 00:04:41,400 --> 00:04:43,840 Speaker 3: Because when I get to office, we are going to 84 00:04:44,040 --> 00:04:47,760 Speaker 3: not charge taxes on tips people making. 85 00:04:47,480 --> 00:04:56,320 Speaker 2: Tips, eliminate taxes on tips for service and hospitality workers. 86 00:04:57,960 --> 00:05:00,159 Speaker 1: I mean, that's just straight up stealing, but I do so. 87 00:05:00,279 --> 00:05:02,960 Speaker 2: June ninth is when Trump said it. August tenth is 88 00:05:03,000 --> 00:05:05,720 Speaker 2: when she said it, and she didn't have the dignity 89 00:05:05,800 --> 00:05:08,760 Speaker 2: to say, you know, I actually would have respected it 90 00:05:08,800 --> 00:05:12,600 Speaker 2: more as she says, Look, there are lots of areas 91 00:05:12,640 --> 00:05:15,719 Speaker 2: where I disagree with Donald Trump. I'm a left wing 92 00:05:15,760 --> 00:05:20,159 Speaker 2: Democrat kook. He's not. However, he had an idea that's 93 00:05:20,160 --> 00:05:21,880 Speaker 2: a really good one, and I'm here to tell you 94 00:05:22,000 --> 00:05:25,680 Speaker 2: right now I would do the same that I could respect. 95 00:05:25,680 --> 00:05:29,000 Speaker 2: But she doesn't acknowledge it, and and the irony is 96 00:05:29,600 --> 00:05:34,479 Speaker 2: she also doesn't acknowledge what prompted it, which is that 97 00:05:34,960 --> 00:05:40,360 Speaker 2: her administration, the Biden Harris administration, she was the tie 98 00:05:40,360 --> 00:05:46,560 Speaker 2: breaking vote on the legislation that provided millions for the 99 00:05:46,600 --> 00:05:50,279 Speaker 2: I R S to go after waiters and waitresses and 100 00:05:50,279 --> 00:05:53,120 Speaker 2: and and and and everyone who's who's making tips, and 101 00:05:53,200 --> 00:05:57,720 Speaker 2: to enforce it vigorously and and to hammer on them. 102 00:05:58,400 --> 00:06:01,560 Speaker 2: And yet she doesn't acknowledge any of that. This is gaslighting. 103 00:06:01,560 --> 00:06:01,960 Speaker 2: One on one. 104 00:06:02,080 --> 00:06:03,800 Speaker 1: This is why, by the way, I love doing the show. 105 00:06:04,160 --> 00:06:06,200 Speaker 1: And I will say to everybody that right now listening 106 00:06:06,279 --> 00:06:08,520 Speaker 1: or watching, this is when I ask you share it. 107 00:06:08,560 --> 00:06:10,640 Speaker 1: And here's why. Know when the media is going to 108 00:06:10,680 --> 00:06:13,640 Speaker 1: tell you this in February, because what you're just said 109 00:06:14,000 --> 00:06:15,680 Speaker 1: is not something ten years ago. And then she had 110 00:06:15,720 --> 00:06:17,400 Speaker 1: a change of heart. Okay, it's not like it was 111 00:06:17,400 --> 00:06:18,960 Speaker 1: a polic ten years ago and there was some magive 112 00:06:18,960 --> 00:06:21,080 Speaker 1: effects came out of it that you didn't realize, and 113 00:06:21,120 --> 00:06:22,719 Speaker 1: then you're like, hey, look that was a long time ago, 114 00:06:22,800 --> 00:06:28,159 Speaker 1: decade ago. In February of twenty twenty three, it came 115 00:06:28,240 --> 00:06:31,640 Speaker 1: to light that Biden's IRS planned to crack down on 116 00:06:31,680 --> 00:06:36,600 Speaker 1: the service industries reporting on tips. The Service Industry Tip 117 00:06:36,680 --> 00:06:41,680 Speaker 1: Compliance Agreement Program was to be a voluntary tip reporting 118 00:06:41,720 --> 00:06:46,240 Speaker 1: system in which the IRS and the service industry companies cooperated, 119 00:06:46,480 --> 00:06:49,880 Speaker 1: which is where they would crack down on the actual workers. 120 00:06:50,240 --> 00:06:54,320 Speaker 1: The program was meant to quote improve tip reporting compliance, 121 00:06:54,960 --> 00:06:59,520 Speaker 1: reduce administrative burdens, and provide more transparency and certainty to 122 00:06:59,760 --> 00:07:04,040 Speaker 1: tax payers again going after the little guy here, and 123 00:07:04,120 --> 00:07:10,679 Speaker 1: the program feature included quote monitoring of employer compliance based 124 00:07:10,680 --> 00:07:15,000 Speaker 1: on actual annual tip revenue, So big brother watching you 125 00:07:15,600 --> 00:07:19,200 Speaker 1: and charge tip data from an employer's point of sales system, 126 00:07:19,280 --> 00:07:23,240 Speaker 1: so now the computer's tracking you. And allowance for adjustments 127 00:07:23,240 --> 00:07:26,160 Speaker 1: and tipping practices from year to year to protect the 128 00:07:26,200 --> 00:07:29,360 Speaker 1: employer from getting in trouble by turning in in essence 129 00:07:29,400 --> 00:07:34,120 Speaker 1: their employees. And who did this Kamala Harris and Joe Biden. 130 00:07:34,240 --> 00:07:36,840 Speaker 1: And now she's out there saying I want you to 131 00:07:36,840 --> 00:07:39,800 Speaker 1: not have to pay taxes on your tips, when again, 132 00:07:40,400 --> 00:07:43,240 Speaker 1: twenty twenty three February wasn't that long ago. 133 00:07:43,400 --> 00:07:47,120 Speaker 2: Yeah, and look, this is a standard practice and pattern 134 00:07:47,200 --> 00:07:50,120 Speaker 2: of Joe Biden, Kamala Harris siding with the big guy, 135 00:07:50,240 --> 00:07:53,200 Speaker 2: siding with giant corporations, whether it's big tech or giant 136 00:07:53,200 --> 00:07:57,800 Speaker 2: corporations against the little guy. You know, there was an 137 00:07:57,840 --> 00:08:00,240 Speaker 2: interesting story the same lunch where Trump was telling the 138 00:08:00,240 --> 00:08:05,840 Speaker 2: backstory of this proposal. The day before the lunch, uh, 139 00:08:06,000 --> 00:08:09,200 Speaker 2: Trump and Lindsey Graham had played golf, and Lindsey told everyone, 140 00:08:09,240 --> 00:08:10,760 Speaker 2: he said, look, the two of us were playing golf, 141 00:08:10,760 --> 00:08:13,440 Speaker 2: and they're both big golfers, and you know, look, your 142 00:08:13,480 --> 00:08:15,200 Speaker 2: son is one of the best golfers in the world. 143 00:08:15,960 --> 00:08:20,320 Speaker 2: But Lindsey described how midway through the golf game. He said, 144 00:08:20,320 --> 00:08:25,520 Speaker 2: their two caddies came up and hugged Donald Trump because 145 00:08:25,520 --> 00:08:28,640 Speaker 2: he had just made the proposal of no taxes on tips. 146 00:08:28,680 --> 00:08:32,679 Speaker 2: And listen, golf caddies like barbers, like bartenders. There there 147 00:08:32,679 --> 00:08:36,360 Speaker 2: were all sorts of professions where a big chunk of 148 00:08:36,400 --> 00:08:38,640 Speaker 2: their revenue and many of them were just barely making 149 00:08:38,760 --> 00:08:41,400 Speaker 2: ends meet. They're just starting to climb the economic ladder, 150 00:08:41,800 --> 00:08:45,119 Speaker 2: and they literally came and hugged him for that proposal. 151 00:08:45,480 --> 00:08:48,720 Speaker 2: And so Kamala Harris is now trying to pretend, look, 152 00:08:48,760 --> 00:08:51,440 Speaker 2: I'm glad she's supporting my legislation. I got to say, 153 00:08:51,480 --> 00:08:55,079 Speaker 2: this is a first. I do not believe Kamala Harris 154 00:08:55,080 --> 00:09:00,199 Speaker 2: has ever before publicly endorsed legislation that I filed the 155 00:09:00,280 --> 00:09:02,880 Speaker 2: lead author of. Now, she didn't mention it was my legislation. 156 00:09:02,920 --> 00:09:04,960 Speaker 2: She didn't mention it was Trump's idea. And to be clear, 157 00:09:05,040 --> 00:09:07,440 Speaker 2: I took the idea from Trump. It was his idea, 158 00:09:07,520 --> 00:09:09,160 Speaker 2: and you ran with it. I just had the sense 159 00:09:09,200 --> 00:09:11,760 Speaker 2: of saying, that's a damn good idea, let's do it. 160 00:09:11,800 --> 00:09:13,720 Speaker 2: And so I went and put pen to paper to 161 00:09:13,840 --> 00:09:18,200 Speaker 2: actually draft it to make it happen. But I readily 162 00:09:18,240 --> 00:09:22,160 Speaker 2: credit it was Trump's idea. Kamala could not be bothered 163 00:09:22,200 --> 00:09:26,199 Speaker 2: to acknowledge anything other than pretending this has always been 164 00:09:26,200 --> 00:09:26,600 Speaker 2: her view. 165 00:09:27,040 --> 00:09:30,440 Speaker 1: Finally, Senator, there's also something else that's been happening over 166 00:09:30,440 --> 00:09:33,360 Speaker 1: the last couple of weeks, and that is the media 167 00:09:33,400 --> 00:09:35,800 Speaker 1: is trying to make Harris and her running mate look 168 00:09:35,840 --> 00:09:39,240 Speaker 1: like they're moderates, like they're not extremists, they're not radicals, 169 00:09:39,720 --> 00:09:43,000 Speaker 1: even though their entire history says that's exactly what they are. 170 00:09:43,200 --> 00:09:45,320 Speaker 2: Look, I want you to listen to two clips that 171 00:09:45,400 --> 00:09:49,520 Speaker 2: really sums up just how extreme they are. The first 172 00:09:49,600 --> 00:09:53,000 Speaker 2: is from Tim Waltz and he's talking about his fellow 173 00:09:53,000 --> 00:09:56,439 Speaker 2: Minnesota Ilhan Omar. And to be clear, Ilhan Omar is 174 00:09:57,000 --> 00:09:59,080 Speaker 2: one of the founding members of the Squad. She is 175 00:09:59,120 --> 00:10:04,959 Speaker 2: a radical anti she hates Israel. She is extreme. Listen 176 00:10:04,960 --> 00:10:07,880 Speaker 2: to what Tim Waltz thinks about her. 177 00:10:09,080 --> 00:10:11,120 Speaker 4: Something I'll never get tired of saying. I think all 178 00:10:11,160 --> 00:10:14,520 Speaker 4: of you, Congresswoman Omar, wonderful. 179 00:10:14,640 --> 00:10:15,320 Speaker 5: And that's up. 180 00:10:19,000 --> 00:10:20,640 Speaker 4: When I'm having a tough day, or I'm out on 181 00:10:20,679 --> 00:10:23,400 Speaker 4: about mile five of my run and I'm feeling kind 182 00:10:23,400 --> 00:10:25,120 Speaker 4: of down and the world's pressing on me, I think 183 00:10:25,160 --> 00:10:28,120 Speaker 4: ilhan Omar is a congresswoman and it just brightens you up. 184 00:10:28,160 --> 00:10:28,679 Speaker 4: So thank you. 185 00:10:30,080 --> 00:10:32,199 Speaker 1: I just wonder like mile three is he's sitting there 186 00:10:32,200 --> 00:10:34,680 Speaker 1: thinking about that's the same congressman that said that the 187 00:10:34,800 --> 00:10:37,400 Speaker 1: terrorists that attacked us on nine eleven were some people 188 00:10:37,440 --> 00:10:38,640 Speaker 1: that did some things. 189 00:10:39,600 --> 00:10:44,560 Speaker 2: Look, ilhan Omar is a congresswoman, and that's something that 190 00:10:44,679 --> 00:10:48,440 Speaker 2: just brightens you up. That's what he said. This is 191 00:10:48,559 --> 00:10:51,480 Speaker 2: everyone will acknowledge one of the most radical and extreme 192 00:10:53,760 --> 00:10:58,560 Speaker 2: is zealous, and that brightens his day. That tells you 193 00:10:59,240 --> 00:11:04,520 Speaker 2: who he is. Now, if you think that's bad, I 194 00:11:04,559 --> 00:11:07,199 Speaker 2: got something worse. Do you like Christmas? 195 00:11:07,400 --> 00:11:08,280 Speaker 1: Love Christmas? 196 00:11:08,320 --> 00:11:10,800 Speaker 2: Okay, well you're not Kamala Harris. Give a listen to Kamala. 197 00:11:12,040 --> 00:11:16,000 Speaker 5: When we all sing happy tunes and sing Merry Christmas 198 00:11:16,000 --> 00:11:19,120 Speaker 5: and wish each other merry Christmas, these children are not 199 00:11:19,160 --> 00:11:23,600 Speaker 5: going to have a merry Christmas. How dare we speak 200 00:11:23,679 --> 00:11:25,880 Speaker 5: merry Christmas? How dare we? 201 00:11:27,360 --> 00:11:29,920 Speaker 1: I haven't seen somebody get that crazy about hating Christmas 202 00:11:29,960 --> 00:11:30,560 Speaker 1: in a long time. 203 00:11:30,760 --> 00:11:33,600 Speaker 2: And understand what she's saying. They're in context. She's talking 204 00:11:33,600 --> 00:11:37,320 Speaker 2: about illegal immigrants, and she's saying illegal immigrants are having 205 00:11:37,320 --> 00:11:40,760 Speaker 2: a lousy time. So how dare we say Merry Christmas 206 00:11:41,480 --> 00:11:46,160 Speaker 2: when illegal immigrants? I mean it is. This is a 207 00:11:46,200 --> 00:11:52,679 Speaker 2: woman whose entire career has been siding with criminals and 208 00:11:52,760 --> 00:11:59,920 Speaker 2: with illegal immigrants, and in her mind even saying Marry 209 00:12:00,240 --> 00:12:04,760 Speaker 2: Christmas is unacceptable as long as there is one illegal 210 00:12:04,760 --> 00:12:10,160 Speaker 2: immigrant who was not backs basking in luxury. 211 00:12:10,600 --> 00:12:13,000 Speaker 1: Now, if you want to hear the rest of this conversation, 212 00:12:13,240 --> 00:12:15,559 Speaker 1: you can go back and listen to the full podcast 213 00:12:15,679 --> 00:12:20,520 Speaker 1: from earlier this week. Now onto story number two. We've 214 00:12:20,559 --> 00:12:23,480 Speaker 1: seen this happen now multiple times over the last couple 215 00:12:23,480 --> 00:12:27,160 Speaker 1: of weeks. We saw them say that jd Vance is weird, 216 00:12:27,320 --> 00:12:30,040 Speaker 1: right and everybody we played that montage of the media 217 00:12:30,080 --> 00:12:32,800 Speaker 1: saying it over and over again every outlet. Then we 218 00:12:32,920 --> 00:12:37,200 Speaker 1: had this the same montage with Kamwa Harris's campaign, except 219 00:12:37,240 --> 00:12:40,400 Speaker 1: it was positive news for her that she's surging, surging, surging. 220 00:12:40,440 --> 00:12:43,640 Speaker 1: Everybody use that word over the weekend. Clearly it's coming 221 00:12:43,679 --> 00:12:46,200 Speaker 1: I think from the Hairs campaign. And now you have 222 00:12:46,280 --> 00:12:49,640 Speaker 1: the same headlines written fifty different ways of Sunday with 223 00:12:50,080 --> 00:12:55,040 Speaker 1: this conversation between Trump and must It wasn't true and 224 00:12:55,120 --> 00:12:57,720 Speaker 1: a lie? How is this not an in kind donation? 225 00:12:57,840 --> 00:12:58,760 Speaker 1: The Hairs campaign. 226 00:12:59,480 --> 00:13:02,240 Speaker 2: Look, I think it's worse than that. It's not even 227 00:13:02,240 --> 00:13:07,160 Speaker 2: an inkind donation. They are the Harris campaign. Understand, there 228 00:13:07,240 --> 00:13:10,160 Speaker 2: is a political strategy, a decision that has been made 229 00:13:10,800 --> 00:13:13,079 Speaker 2: to hide Kamala Harris to locker in the basement. I 230 00:13:13,080 --> 00:13:14,760 Speaker 2: don't know if she's in the same basement with Joe 231 00:13:14,800 --> 00:13:17,880 Speaker 2: Biden or not. But she does no media interviews. It's 232 00:13:17,880 --> 00:13:20,199 Speaker 2: been three weeks that she's been the presumptive nominee. She 233 00:13:20,200 --> 00:13:22,880 Speaker 2: hasn't done a single media interview. She doesn't answer questions, 234 00:13:23,200 --> 00:13:26,280 Speaker 2: she reads from a teleprompter, and she doesn't add lib 235 00:13:26,320 --> 00:13:29,560 Speaker 2: on anything. And the reason they're doing that, what is 236 00:13:29,600 --> 00:13:35,640 Speaker 2: their campaign? Their campaign is the media. Those headlines, they 237 00:13:35,800 --> 00:13:38,400 Speaker 2: are the media. And I want to play in particular 238 00:13:39,240 --> 00:13:42,959 Speaker 2: one excerpt from CNN because it reveals just the lengths 239 00:13:43,000 --> 00:13:46,600 Speaker 2: they will go to lie. So play initially how CNN 240 00:13:47,200 --> 00:13:51,800 Speaker 2: covered a small segment of the Trump elon Musk interview. Play. 241 00:13:53,160 --> 00:13:57,040 Speaker 5: I want to play one exchange that was kind of classic. Well, 242 00:13:57,080 --> 00:13:58,880 Speaker 5: there were a lot of changes that were exchanges that 243 00:13:58,880 --> 00:14:01,240 Speaker 5: were classic Donald Trump. This one really stuck out to. 244 00:14:01,240 --> 00:14:05,680 Speaker 6: Us and Naishaki were bombed. But now that they're like 245 00:14:05,760 --> 00:14:08,959 Speaker 6: full cities again, so it's likely not that's something that 246 00:14:09,160 --> 00:14:14,600 Speaker 6: you know, it's scarious people think basically, So. 247 00:14:14,600 --> 00:14:19,120 Speaker 5: That was more Elon Musk than Donald Trump talking about 248 00:14:20,000 --> 00:14:23,800 Speaker 5: sort of suggesting that what happened almost eighty years ago, 249 00:14:23,840 --> 00:14:26,800 Speaker 5: I think eighty years ago next year, the bombing of 250 00:14:26,920 --> 00:14:31,240 Speaker 5: Hiroshima Nagasaki. Now it's okay, kind of trying to blow 251 00:14:31,280 --> 00:14:32,680 Speaker 5: off the impact of that. 252 00:14:34,600 --> 00:14:37,640 Speaker 2: So let me say a couple of things. Number one, 253 00:14:38,080 --> 00:14:42,960 Speaker 2: let's let's start with with CNN's perspective that that apparently 254 00:14:43,000 --> 00:14:45,720 Speaker 2: they think America winning World War Two was a bad thing, 255 00:14:46,360 --> 00:14:50,200 Speaker 2: and and and that are bombing Hiroshima and Nagasaki. They're 256 00:14:50,280 --> 00:14:54,080 Speaker 2: they're not crediting that that saved enormous number of lives 257 00:14:54,120 --> 00:14:56,440 Speaker 2: and then the war, World War two would have gone 258 00:14:56,480 --> 00:14:59,360 Speaker 2: on for much much longer without those bombs. CNN takes 259 00:14:59,360 --> 00:15:01,600 Speaker 2: it as a given that America was in the wrong. 260 00:15:01,720 --> 00:15:05,560 Speaker 2: That is horrible. But but that being said, Look, if 261 00:15:05,560 --> 00:15:08,160 Speaker 2: you didn't listen to the Elon Musk Trump interview, if 262 00:15:08,200 --> 00:15:10,000 Speaker 2: you just heard that little segment, if all you get 263 00:15:10,000 --> 00:15:13,200 Speaker 2: your news from is CNN, I understand you're being a 264 00:15:13,200 --> 00:15:16,880 Speaker 2: little startled, going, huh, that's weird. Trump is like going 265 00:15:16,880 --> 00:15:19,120 Speaker 2: out of his way, so to say, hey, no big 266 00:15:19,160 --> 00:15:22,720 Speaker 2: deal that that that Hiroshima and Nagasaki were nuked, that 267 00:15:22,720 --> 00:15:25,480 Speaker 2: that's a wonderful thing. That the natural inference from that 268 00:15:25,520 --> 00:15:29,200 Speaker 2: little segment is apparently Trump, if he's president, is going 269 00:15:29,280 --> 00:15:31,600 Speaker 2: to nuke other cities. That's that. That's it's not not 270 00:15:31,680 --> 00:15:34,240 Speaker 2: a big deal, no problem, Let's just let's just drop 271 00:15:34,280 --> 00:15:36,840 Speaker 2: Adam bombs all over the world. That's that's clearly where 272 00:15:36,880 --> 00:15:42,040 Speaker 2: where CNN wants your inference to go. Now, I want 273 00:15:42,080 --> 00:15:45,720 Speaker 2: you to listen to the full conversation in context, because 274 00:15:46,280 --> 00:15:51,280 Speaker 2: it is wildly different from the little segment CNN played. 275 00:15:51,320 --> 00:15:53,240 Speaker 2: Listen to the full conversation in context. 276 00:15:54,240 --> 00:15:57,280 Speaker 6: Yeah, actually there's the there's the bad side of nuclear 277 00:15:57,320 --> 00:15:59,600 Speaker 6: which is a nuclear war, very bad side, but there 278 00:16:00,120 --> 00:16:05,720 Speaker 6: is also I think nuclear electricity is underrated and it's 279 00:16:05,760 --> 00:16:09,680 Speaker 6: actually you know, people have the sphere of nuclear nuclear 280 00:16:09,720 --> 00:16:13,120 Speaker 6: electricity generation, but but it's actually one of the safest 281 00:16:13,160 --> 00:16:17,200 Speaker 6: forms of electricity generation. It's it's just a huge misunderstanding. 282 00:16:18,600 --> 00:16:20,840 Speaker 6: And if you look at the injuries and desks, you know, 283 00:16:21,160 --> 00:16:23,640 Speaker 6: caused by say, I mean, I'm not going to pick 284 00:16:23,680 --> 00:16:25,040 Speaker 6: on a call money if it's just any kind of 285 00:16:25,040 --> 00:16:29,840 Speaker 6: mining operation, and this is certain number of injuries desk 286 00:16:30,120 --> 00:16:32,680 Speaker 6: per year, and you compare that to nuclear, nuclear is 287 00:16:32,720 --> 00:16:36,120 Speaker 6: actually way better. So it's it's underrated as a as 288 00:16:36,120 --> 00:16:38,320 Speaker 6: an electricity source, and I think it's it's something that's 289 00:16:38,360 --> 00:16:41,280 Speaker 6: worth reconsidering. But there's so much regulation that people can't 290 00:16:41,320 --> 00:16:44,040 Speaker 6: get it done so that you know. 291 00:16:44,120 --> 00:16:47,520 Speaker 3: Maybe they'll happen to The name is is a rough name. 292 00:16:47,560 --> 00:16:49,960 Speaker 3: There are some areas likely, like when you see what 293 00:16:50,040 --> 00:16:53,320 Speaker 3: happened writing to rebrand it, we'll have to give it 294 00:16:53,360 --> 00:16:55,440 Speaker 3: a good name. We'll name it after you or something. 295 00:16:55,760 --> 00:16:59,600 Speaker 3: You know, No, it has hey, it has the branding problem. 296 00:16:59,640 --> 00:17:01,480 Speaker 3: You know when you see what happened does have a 297 00:17:01,480 --> 00:17:04,760 Speaker 3: branding problem. When you see what happened in Japan where 298 00:17:04,800 --> 00:17:06,200 Speaker 3: they say you won't be able to go in the 299 00:17:06,240 --> 00:17:08,680 Speaker 3: land for about three thousand years, did you ever see that? 300 00:17:09,040 --> 00:17:11,200 Speaker 3: And in Russia where they had the problem where they 301 00:17:11,600 --> 00:17:14,360 Speaker 3: you know, there's a lot of bad things happened and 302 00:17:14,680 --> 00:17:16,920 Speaker 3: they have a problem and they say that in two 303 00:17:16,960 --> 00:17:19,800 Speaker 3: thousand years people will start to occupy the land again. 304 00:17:20,080 --> 00:17:23,560 Speaker 3: You know, you realize it's pretty bad, but you're right 305 00:17:23,640 --> 00:17:24,040 Speaker 3: about it. 306 00:17:24,040 --> 00:17:26,720 Speaker 6: It's basically it's actually not that bad. So so like 307 00:17:26,800 --> 00:17:31,119 Speaker 6: after Pokushima happened in Japan, Like people were asking me 308 00:17:31,119 --> 00:17:33,480 Speaker 6: in California, you know, are we worried about like a 309 00:17:33,520 --> 00:17:35,880 Speaker 6: nuclear cloud coming from Japan. I'm like, no, that's crazy, 310 00:17:35,960 --> 00:17:38,320 Speaker 6: it's it's actually, it's not even dangerous in Pokushima. I 311 00:17:38,359 --> 00:17:41,880 Speaker 6: actually flew there and and and ate locally grown vegetables 312 00:17:41,880 --> 00:17:46,760 Speaker 6: on TV to prove it. And I donated a solar 313 00:17:46,840 --> 00:17:50,560 Speaker 6: water treatment a solar power system for a water treatment plant. 314 00:17:50,760 --> 00:17:52,359 Speaker 6: And yeah, but you haven't been. 315 00:17:52,280 --> 00:17:54,560 Speaker 3: Failing so well lately, and I'm worried about it. 316 00:17:54,760 --> 00:17:56,120 Speaker 5: No, No, but I'm only. 317 00:17:55,960 --> 00:17:56,760 Speaker 6: Getting on mine. 318 00:17:56,800 --> 00:17:56,960 Speaker 2: You know. 319 00:17:57,119 --> 00:18:02,119 Speaker 6: It's it's like, you know, here Wishment and Knightshuck were bombed, 320 00:18:02,119 --> 00:18:04,679 Speaker 6: but now that they're like full cities again. So it's 321 00:18:04,720 --> 00:18:09,399 Speaker 6: sadly not that's something that you know, it's not as 322 00:18:09,440 --> 00:18:10,200 Speaker 6: scary as people think. 323 00:18:10,240 --> 00:18:16,240 Speaker 1: Basically, not even close to how SINN presented their conversation 324 00:18:17,040 --> 00:18:21,520 Speaker 1: and clearly edited to make it seem like that Elon 325 00:18:21,640 --> 00:18:25,040 Speaker 1: Musk and Donald Trump were basically insane, when if you 326 00:18:25,119 --> 00:18:28,040 Speaker 1: put the conversation in context the way that we just 327 00:18:28,080 --> 00:18:32,400 Speaker 1: played it right unedited, you know, now Scenan just straight 328 00:18:32,480 --> 00:18:34,399 Speaker 1: up lied to you. They said, hey, find something in 329 00:18:34,440 --> 00:18:38,520 Speaker 1: there and we'll just make crap up and tell everybody 330 00:18:38,600 --> 00:18:40,879 Speaker 1: that this guy's unhinged. By the way, he wasn't slurring 331 00:18:40,920 --> 00:18:43,199 Speaker 1: his words there. I think everybody heard Donald Trump, and 332 00:18:43,240 --> 00:18:46,920 Speaker 1: he sounded just like Donald Trump always sounds well. 333 00:18:46,960 --> 00:18:50,040 Speaker 2: And the whole conversation was about nuclear power, and the 334 00:18:50,119 --> 00:18:54,000 Speaker 2: point they were saying is that nuclear power is very reliable, 335 00:18:54,240 --> 00:18:58,359 Speaker 2: that it is safe, that that you have fewer fatalities, 336 00:18:58,400 --> 00:19:01,919 Speaker 2: fewer accidents than other sources of power generation. That if 337 00:19:01,960 --> 00:19:05,320 Speaker 2: you care about the environment, nuclear power has by far 338 00:19:05,480 --> 00:19:08,800 Speaker 2: the least emissions, the least carbon emissions, the least pollution, 339 00:19:09,960 --> 00:19:13,720 Speaker 2: and that point is absolutely right and the left, and 340 00:19:13,760 --> 00:19:16,440 Speaker 2: it's one of the points you know, the radical left, 341 00:19:16,480 --> 00:19:20,000 Speaker 2: the climate alarmists, they talk about carbon emissions, but then 342 00:19:20,000 --> 00:19:25,359 Speaker 2: they're rapidly anti nuclear because they give in to alarmist fear. 343 00:19:25,400 --> 00:19:28,680 Speaker 2: And in that point Elon Musk was making the context 344 00:19:28,720 --> 00:19:30,960 Speaker 2: that even when you have cities, he said, first of 345 00:19:30,960 --> 00:19:35,159 Speaker 2: all Fukushima, where they had a nuclear accident in Japan. Yes, 346 00:19:35,320 --> 00:19:38,120 Speaker 2: it was an unfortunate accident, but the fallout has not 347 00:19:38,240 --> 00:19:43,160 Speaker 2: been that severe. They also were talking about Chernobyl in Russia. 348 00:19:43,840 --> 00:19:48,040 Speaker 2: But the point he made about Hiroshima and Nagasaki is 349 00:19:48,080 --> 00:19:50,400 Speaker 2: even there. They are now people living, and it's come through. 350 00:19:50,640 --> 00:19:55,840 Speaker 2: He's obviously not advocating for nuking cities. He's saying that 351 00:19:56,000 --> 00:20:01,919 Speaker 2: the risks of nuclear power generation are overstated by alarmists. 352 00:20:01,920 --> 00:20:04,960 Speaker 2: Now CNN knows that they listen to the same interview 353 00:20:05,000 --> 00:20:08,560 Speaker 2: you and I listen to, But they are being deliberately 354 00:20:08,640 --> 00:20:12,520 Speaker 2: dishonest when they cut out that little tiny snippet, and 355 00:20:12,520 --> 00:20:15,119 Speaker 2: I notice they only played what like fifteen twenty seconds 356 00:20:15,160 --> 00:20:18,320 Speaker 2: of it. They cut out that tiny snippet with the 357 00:20:18,359 --> 00:20:23,800 Speaker 2: deliberate purpose of creating a false and misleading impression because 358 00:20:23,800 --> 00:20:27,520 Speaker 2: they're not engaged in news. They are propagandists. And it's 359 00:20:27,520 --> 00:20:29,840 Speaker 2: the same thing the Kamala Harris campaign would have done, 360 00:20:30,080 --> 00:20:32,760 Speaker 2: because CNN, like the rest of the corporate media, is 361 00:20:33,119 --> 00:20:37,880 Speaker 2: effectively the communication arm of the Kamala Harris campaign. 362 00:20:38,640 --> 00:20:41,639 Speaker 1: Senator, finally, let me ask you, and if you put 363 00:20:41,680 --> 00:20:45,920 Speaker 1: all of this show into contexts, especially if you look 364 00:20:45,960 --> 00:20:48,399 Speaker 1: at what they're having to do to lie about this 365 00:20:48,440 --> 00:20:51,760 Speaker 1: conversation with Musk and Trump, is this just what we 366 00:20:51,800 --> 00:20:55,399 Speaker 1: can expect from now until eternity with the media when 367 00:20:55,440 --> 00:20:58,520 Speaker 1: they lose control. They have am out down. They lie 368 00:20:58,560 --> 00:21:01,560 Speaker 1: to you about whether it's jd Vance, or they lie 369 00:21:01,600 --> 00:21:03,800 Speaker 1: to you about Kamwa Harrison what she actually does the 370 00:21:03,800 --> 00:21:06,240 Speaker 1: border and she's not the borders are, or they lie 371 00:21:06,280 --> 00:21:08,919 Speaker 1: about President Trump's soaring his words and saying, hey, that 372 00:21:09,000 --> 00:21:11,000 Speaker 1: worked with Joe Biden getting him out of the race. 373 00:21:11,080 --> 00:21:14,480 Speaker 1: Maybe we can attack Donald Trump the same way. Is 374 00:21:14,200 --> 00:21:16,840 Speaker 1: this the reality of the world we now live in? 375 00:21:18,000 --> 00:21:20,960 Speaker 2: So I don't think it is. And we are seeing 376 00:21:21,640 --> 00:21:27,520 Speaker 2: in America across the world massive disintermediation. The mediators, the 377 00:21:27,560 --> 00:21:31,360 Speaker 2: middlemen are being removed from the transmission of ideas. We 378 00:21:31,400 --> 00:21:34,359 Speaker 2: saw that powerfully this week with Elon Musk and Donald 379 00:21:34,359 --> 00:21:38,240 Speaker 2: Trump going directly to a billion people on x without 380 00:21:38,359 --> 00:21:41,720 Speaker 2: the reporters being able to block it. But we see 381 00:21:41,760 --> 00:21:44,719 Speaker 2: that on this podcast. Listen, Why do you and I 382 00:21:44,880 --> 00:21:48,439 Speaker 2: do the podcast often at eleven o'clock at night or 383 00:21:48,480 --> 00:21:51,120 Speaker 2: midnight or even one or two in the morning. Why 384 00:21:51,160 --> 00:21:53,000 Speaker 2: do we do it three days a week. We do 385 00:21:53,160 --> 00:21:56,639 Speaker 2: it because if your only source of news is the 386 00:21:56,640 --> 00:22:00,560 Speaker 2: corporate media, if you only watch CNN or MSNBC, RA, ABCNBCCBS, 387 00:22:01,680 --> 00:22:04,440 Speaker 2: you do not know what is happening. They are lying 388 00:22:04,560 --> 00:22:08,080 Speaker 2: to you. And the reason this podcast, we've got roughly 389 00:22:08,119 --> 00:22:11,840 Speaker 2: a million unique listeners, is because people find it valuable. 390 00:22:11,880 --> 00:22:17,280 Speaker 2: We give you facts that CNN will never air. We 391 00:22:17,359 --> 00:22:20,600 Speaker 2: play the full segment of what Elon and Trump said 392 00:22:20,960 --> 00:22:25,240 Speaker 2: about here Shima and Nagasaki instead of their dishonestly edited 393 00:22:25,600 --> 00:22:30,199 Speaker 2: snippet that was designed to mislead you and lie to you. 394 00:22:30,760 --> 00:22:34,639 Speaker 2: And this podcast goes right around the corporate media, and 395 00:22:34,680 --> 00:22:38,760 Speaker 2: in fact, just about every podcast we put out drives 396 00:22:39,000 --> 00:22:42,800 Speaker 2: stories in the corporate media. That is going to accelerate. 397 00:22:42,840 --> 00:22:45,920 Speaker 2: People are going to podcast, people are going to social media, 398 00:22:45,960 --> 00:22:51,840 Speaker 2: people are going to x. Elon's buying Twitter remains I 399 00:22:51,880 --> 00:22:55,720 Speaker 2: think the single most important step for free speech in decades, 400 00:22:56,240 --> 00:22:58,760 Speaker 2: and I think that's only gonna accelerate. And you're gonna 401 00:22:58,760 --> 00:23:02,399 Speaker 2: see a panic as the corporate media they want a 402 00:23:02,440 --> 00:23:06,600 Speaker 2: monopoly on what we know, what we hear, what we understand, 403 00:23:06,880 --> 00:23:10,159 Speaker 2: and they're losing their monopoly. So I predict more and 404 00:23:10,280 --> 00:23:15,359 Speaker 2: more frantic panic, but also more and more power to 405 00:23:15,400 --> 00:23:16,840 Speaker 2: the people, which is a very good thing. 406 00:23:17,600 --> 00:23:19,520 Speaker 1: As before, if you want to hear the rest of 407 00:23:19,520 --> 00:23:22,439 Speaker 1: this conversation on this topic, you can go back and 408 00:23:22,480 --> 00:23:24,959 Speaker 1: dow the podcast from earlier this week to hear the 409 00:23:25,119 --> 00:23:28,480 Speaker 1: entire thing. I want to get back to the big 410 00:23:28,680 --> 00:23:30,720 Speaker 1: story number three of the week you may have missed. 411 00:23:31,359 --> 00:23:34,200 Speaker 1: I want to switch to another topic, Senator, we mentioned earlier, 412 00:23:34,800 --> 00:23:40,199 Speaker 1: and this is another cautionary tell a warning, and the 413 00:23:40,320 --> 00:23:44,440 Speaker 1: borders are doesn't seem to give a crap. A Palestinian 414 00:23:44,880 --> 00:23:48,280 Speaker 1: on the terror watch list was arrested on the southern 415 00:23:48,600 --> 00:23:49,600 Speaker 1: US border. 416 00:23:50,560 --> 00:23:55,600 Speaker 2: That's exactly right. It's an individual named Omar Shahida who 417 00:23:55,640 --> 00:23:58,960 Speaker 2: is accused of explosives and arms used and was caught 418 00:23:59,400 --> 00:24:03,680 Speaker 2: in sant Resa, New Mexico. Amar Shajeda is a Palestinian 419 00:24:03,720 --> 00:24:07,080 Speaker 2: from Juday and Samaria, and he is on the terror 420 00:24:07,119 --> 00:24:11,680 Speaker 2: watch list for alleged prior use of explosives at arms. 421 00:24:12,560 --> 00:24:16,160 Speaker 2: He was arrested. The New York Post reported, and let 422 00:24:16,160 --> 00:24:19,439 Speaker 2: me read from the memo that has been leaked showing 423 00:24:19,480 --> 00:24:24,520 Speaker 2: the arrest notification of the suspected Palestinian terrorist. The arrest 424 00:24:24,560 --> 00:24:27,800 Speaker 2: notification says, on August twelfth, twenty twenty four, Border Patrol 425 00:24:27,840 --> 00:24:32,240 Speaker 2: agents assigned to the Sanatresa Border Patrol Station encountered a 426 00:24:32,240 --> 00:24:36,399 Speaker 2: person with a terror screening data sent record At approximately 427 00:24:36,440 --> 00:24:40,040 Speaker 2: one ten am. Agents apprehended a group of seven individuals 428 00:24:40,359 --> 00:24:43,800 Speaker 2: who illegally entered the United States from Mexico near Santa Theresa, 429 00:24:43,840 --> 00:24:49,320 Speaker 2: New Mexico. During processing, research revealed that Omar nowaf Issa 430 00:24:49,400 --> 00:24:53,959 Speaker 2: Shaheda was a possible match to a terror watch list record. 431 00:24:54,760 --> 00:24:58,119 Speaker 2: Border patrol agents at the National Targeting Center generated an 432 00:24:58,200 --> 00:25:02,119 Speaker 2: NTC event. Jeta was confirmed to be a positive match 433 00:25:03,400 --> 00:25:09,119 Speaker 2: and his watch listed as a Category fifteen used explosives 434 00:25:09,240 --> 00:25:19,040 Speaker 2: slash arms. Global appis revealed that Scheheda traveled from Madrid, 435 00:25:19,119 --> 00:25:23,520 Speaker 2: Spain to Bogota, Columbia on a flight with a connecting 436 00:25:23,560 --> 00:25:28,000 Speaker 2: flight to Panama City, and that Shijeda arrived in San Salvador, 437 00:25:28,920 --> 00:25:35,440 Speaker 2: El Salvador on a flight and Shaheeda is currently being held. 438 00:25:35,440 --> 00:25:38,879 Speaker 2: He was encountered as a single adult. Now this is 439 00:25:38,920 --> 00:25:44,840 Speaker 2: a pattern. Weeks earlier, three other suspected Palestinian terrorists were 440 00:25:44,840 --> 00:25:47,879 Speaker 2: caught at the California border. Those and we talked about 441 00:25:47,880 --> 00:25:50,880 Speaker 2: that those three on this podcast previously. One of them 442 00:25:51,520 --> 00:25:54,159 Speaker 2: had a photo on their phone including pictures of a 443 00:25:54,240 --> 00:25:59,240 Speaker 2: masked man holding an AK forty seven rifle Kamala Harris. 444 00:25:59,240 --> 00:26:03,200 Speaker 2: The borders are responsible for an open border that continues 445 00:26:03,320 --> 00:26:07,679 Speaker 2: to be a magnet inviting terrorists to come into this 446 00:26:07,760 --> 00:26:13,399 Speaker 2: country and and and in fact, an alert UH that 447 00:26:13,560 --> 00:26:18,199 Speaker 2: was issued by the Border Patrol said, quote individuals inspired 448 00:26:18,240 --> 00:26:22,920 Speaker 2: by or reacting to the current Israel Hamas conflict may 449 00:26:22,960 --> 00:26:26,080 Speaker 2: attempt to travel to or from the area of hostilities 450 00:26:26,440 --> 00:26:32,240 Speaker 2: in the Middle East via circuitous transit across the southwest border. 451 00:26:32,880 --> 00:26:35,640 Speaker 2: This is what Kamala Harris's open border is doing to us. 452 00:26:36,840 --> 00:26:39,680 Speaker 1: You you look at this and you put it together 453 00:26:40,240 --> 00:26:43,560 Speaker 1: with the fact that they say she's not the borders are, 454 00:26:44,480 --> 00:26:47,280 Speaker 1: and then she says, oh, I'm doing everything I can 455 00:26:47,359 --> 00:26:51,399 Speaker 1: to protect you at the border. It doesn't match up. 456 00:26:51,960 --> 00:26:55,879 Speaker 1: It's just lie after lie after lie after lie. And 457 00:26:56,280 --> 00:26:58,880 Speaker 1: you look at these these gang leaders that are arrested. 458 00:26:58,920 --> 00:27:02,080 Speaker 1: You look at there that are being assaulted. Unfortunately, now 459 00:27:02,119 --> 00:27:04,879 Speaker 1: it's on a weekly basis. We also know, and I 460 00:27:04,880 --> 00:27:08,040 Speaker 1: think we should just remind people that the system is 461 00:27:08,119 --> 00:27:11,640 Speaker 1: so broken now that the administration has just been busted 462 00:27:11,800 --> 00:27:17,680 Speaker 1: handing kids over to non family members, okay, non family 463 00:27:17,760 --> 00:27:20,879 Speaker 1: members a lost track. Within a month, a third of 464 00:27:20,920 --> 00:27:24,440 Speaker 1: the kids are hand over to their quote sponsors who 465 00:27:24,480 --> 00:27:27,919 Speaker 1: are non family members, with no response and no follow 466 00:27:28,000 --> 00:27:29,600 Speaker 1: up from the federal government. So, in other words, a 467 00:27:29,640 --> 00:27:32,920 Speaker 1: handed child over to a non family member. They call 468 00:27:33,040 --> 00:27:35,919 Speaker 1: thirty days later to check in. No one answers, no 469 00:27:35,960 --> 00:27:38,080 Speaker 1: one's talking to them, and they can't find the kid. 470 00:27:38,400 --> 00:27:40,760 Speaker 1: And that's apparently happening with at least a third of 471 00:27:40,800 --> 00:27:43,600 Speaker 1: the kids that they're bringing into this country. That is 472 00:27:43,720 --> 00:27:44,439 Speaker 1: pure evil. 473 00:27:45,040 --> 00:27:47,040 Speaker 2: It is pure evil. And I'll tell you that The 474 00:27:47,119 --> 00:27:51,000 Speaker 2: New York Times is even reporting on this, and they're 475 00:27:51,040 --> 00:27:54,000 Speaker 2: reporting Javier Bessera, who is the Secretary of Health and 476 00:27:54,040 --> 00:27:57,760 Speaker 2: Human Services. He has no background in healthcare, he has 477 00:27:57,800 --> 00:28:00,719 Speaker 2: no background. He's not a physician, he doesn't know anything 478 00:28:00,720 --> 00:28:03,280 Speaker 2: about healthcare. But what he is is a radical left 479 00:28:03,280 --> 00:28:06,240 Speaker 2: wing lawyer who was the Attorney General of California. And 480 00:28:06,240 --> 00:28:09,320 Speaker 2: that's who Joe Biden Kamala Harris wanted in charge of HHS, 481 00:28:09,400 --> 00:28:12,760 Speaker 2: and AHHS is the one that that that that deals 482 00:28:12,840 --> 00:28:16,520 Speaker 2: with with unaccompanied miners. And we've seen an explosion of 483 00:28:16,600 --> 00:28:20,119 Speaker 2: unaccompanied miners coming into this country because Joe Biden Kamala 484 00:28:20,160 --> 00:28:22,119 Speaker 2: Harris opened up the border and it ended up with 485 00:28:22,200 --> 00:28:23,760 Speaker 2: a lot of little boys and a lot of little 486 00:28:23,760 --> 00:28:27,720 Speaker 2: girls being trafficked in by human traffickers, being abused, many 487 00:28:27,720 --> 00:28:30,560 Speaker 2: of them physically, many of them sexually. But then when 488 00:28:30,600 --> 00:28:35,840 Speaker 2: they get here. Uh, the Biden administration had a problem, 489 00:28:36,160 --> 00:28:40,400 Speaker 2: and they had a problem because they wanted to avoid 490 00:28:40,520 --> 00:28:42,880 Speaker 2: kids in cages. They had made a huge deal of 491 00:28:42,920 --> 00:28:45,920 Speaker 2: it under Donald Trump. Never mind that that that the 492 00:28:45,920 --> 00:28:51,240 Speaker 2: the actual cages were built by Barack Obama. But they 493 00:28:51,280 --> 00:28:54,040 Speaker 2: wanted to avoid the bad optics of having kids in 494 00:28:54,080 --> 00:28:58,760 Speaker 2: cages under under Joe Biden. So what they did is 495 00:28:58,800 --> 00:29:02,560 Speaker 2: they began really these sing young people and releasing them 496 00:29:02,600 --> 00:29:09,000 Speaker 2: to adults who who couldn't pass basic background checks. And 497 00:29:09,040 --> 00:29:11,520 Speaker 2: when people in the system said, wait, we don't know 498 00:29:11,560 --> 00:29:13,640 Speaker 2: who these adults are. We don't know if they're bad people. 499 00:29:13,680 --> 00:29:16,280 Speaker 2: We don't know if they're looking for kids to work 500 00:29:16,320 --> 00:29:18,479 Speaker 2: in child labor and slave labor. We don't know if 501 00:29:18,480 --> 00:29:20,719 Speaker 2: they're violent. We don't know if they want to abuse 502 00:29:20,760 --> 00:29:22,520 Speaker 2: the kids. You know, what have you hear? Bessera said, 503 00:29:22,800 --> 00:29:25,200 Speaker 2: shut up and release them faster. And so let me 504 00:29:25,240 --> 00:29:27,040 Speaker 2: read from the Wall Street Journal. This is an article 505 00:29:27,040 --> 00:29:30,000 Speaker 2: on July eighth and the Wall Street Journal in twenty 506 00:29:30,000 --> 00:29:32,360 Speaker 2: twenty one, when the new Biden administration was struggling to 507 00:29:32,360 --> 00:29:35,360 Speaker 2: cope with a sudden influx of unaccompanied migrant children at 508 00:29:35,400 --> 00:29:40,040 Speaker 2: the US Mexico border. The government repeatedly overrode the concerns 509 00:29:40,080 --> 00:29:43,280 Speaker 2: of lower level workers who warned about placing them in 510 00:29:43,320 --> 00:29:47,800 Speaker 2: certain households. Documents and interviews show, quote, it does not 511 00:29:47,840 --> 00:29:49,880 Speaker 2: appear safe for the minor to be released to a 512 00:29:49,880 --> 00:29:53,160 Speaker 2: home environment that was not fully assessed. A case worker 513 00:29:53,200 --> 00:29:56,240 Speaker 2: wrote about a child slated to live in a hostile 514 00:29:56,440 --> 00:29:59,560 Speaker 2: like home in Florida with at least three adults. A 515 00:29:59,560 --> 00:30:03,920 Speaker 2: few days later, unofficial dismissed the recommendation to reject the 516 00:30:03,960 --> 00:30:09,080 Speaker 2: proposed guardian. According to internal government memos, at another facility 517 00:30:09,080 --> 00:30:12,680 Speaker 2: in Pomona, California, about thirty miles east of Los Angeles, 518 00:30:13,400 --> 00:30:17,400 Speaker 2: more than one hundred children that summer were sent to 519 00:30:17,600 --> 00:30:22,120 Speaker 2: temporary guardians who were issued denials early in the process 520 00:30:22,160 --> 00:30:25,320 Speaker 2: by case coordinators. According to a review of internal government 521 00:30:25,360 --> 00:30:29,080 Speaker 2: data that tracks on accompanied children, emails and other communications 522 00:30:29,120 --> 00:30:34,280 Speaker 2: and interviews with caseworkers, about two dozen more denials were 523 00:30:34,360 --> 00:30:38,000 Speaker 2: overturned because of clerical errors or issues such as missing 524 00:30:38,040 --> 00:30:41,600 Speaker 2: fingerprints that were resolved. Record show, but many of the 525 00:30:41,640 --> 00:30:48,680 Speaker 2: others were approved with scant details explaining why, and stunningly, 526 00:30:48,720 --> 00:30:52,600 Speaker 2: the Wall Street Journal couldn't determine what happened to the 527 00:30:52,680 --> 00:30:58,400 Speaker 2: children after they left the facility. Joe Biden and Kamala 528 00:30:58,480 --> 00:31:04,560 Speaker 2: Harris have lost over eighty thousand children that came as 529 00:31:04,640 --> 00:31:07,120 Speaker 2: unaccompanied miters to this country. They don't know where they are, 530 00:31:07,280 --> 00:31:08,920 Speaker 2: they don't know who has them, they don't know what 531 00:31:08,960 --> 00:31:13,040 Speaker 2: has happened to the kids. And you know what, Kamala 532 00:31:13,120 --> 00:31:16,040 Speaker 2: Harris has zero interest in finding the answer to that. 533 00:31:16,360 --> 00:31:18,400 Speaker 2: She will never talk about it. Mind you, she was 534 00:31:18,480 --> 00:31:22,000 Speaker 2: the borders are, she still is, and yet losing eighty 535 00:31:22,040 --> 00:31:25,360 Speaker 2: thousand children apparently doesn't concern her at all. 536 00:31:26,200 --> 00:31:29,240 Speaker 1: Yeah, and there doesn't seem to be accountability for this either. 537 00:31:29,440 --> 00:31:32,920 Speaker 1: Is there anything that Congress can do now? Knowing what 538 00:31:32,960 --> 00:31:35,480 Speaker 1: we just learned in that report. 539 00:31:35,400 --> 00:31:37,880 Speaker 2: There's a lot Congress can do, but in the Senate, 540 00:31:38,400 --> 00:31:40,320 Speaker 2: the Senate will do none of it. And the reason 541 00:31:40,440 --> 00:31:42,160 Speaker 2: is the Democrats, who are in the majority of the 542 00:31:42,200 --> 00:31:46,160 Speaker 2: Senate do not care. I've raised this issue repeatedly in 543 00:31:46,160 --> 00:31:50,200 Speaker 2: the Judiciary Committee. You know what, Democrats in charge Judiciary. 544 00:31:50,200 --> 00:31:53,320 Speaker 2: We have not had a single hearing in four years 545 00:31:53,680 --> 00:31:56,440 Speaker 2: on the crisis at our southern border. We've had multiple 546 00:31:56,520 --> 00:31:59,960 Speaker 2: hearings on the Democrats desire to grant amnesty to illegal aliens. 547 00:32:00,280 --> 00:32:02,920 Speaker 2: We have not had a hearing in judiciary on the 548 00:32:03,000 --> 00:32:06,920 Speaker 2: eighty thousand kids that Joe Biden Kamala Harris has lost 549 00:32:06,960 --> 00:32:10,080 Speaker 2: because the Democrats want to cover it up and listen, 550 00:32:10,200 --> 00:32:17,160 Speaker 2: we know that some significant number of those individuals are 551 00:32:17,200 --> 00:32:21,360 Speaker 2: in child labor work sites, are being abused, or being 552 00:32:21,360 --> 00:32:27,440 Speaker 2: physically abused, or being sexually abused. If you look for example, 553 00:32:27,440 --> 00:32:29,200 Speaker 2: I'm gonna go back to the Wall Street Journal article 554 00:32:29,840 --> 00:32:32,880 Speaker 2: that says, following an internal investigation, the Inspector General for 555 00:32:32,920 --> 00:32:36,000 Speaker 2: the US Department of Health and Human Services, which oversaw 556 00:32:36,040 --> 00:32:39,600 Speaker 2: a network of shelters caring for an accompanied minors, found 557 00:32:39,640 --> 00:32:44,200 Speaker 2: gaps in the process to screen temporary guardians. It's said 558 00:32:44,240 --> 00:32:48,520 Speaker 2: in February that sixteen percent sixteen percent of records for 559 00:32:48,640 --> 00:32:51,440 Speaker 2: children who were released to sponsors in March and April 560 00:32:51,440 --> 00:32:55,880 Speaker 2: twenty twenty one lacked evidence that a required safety check 561 00:32:56,000 --> 00:33:00,720 Speaker 2: was conducted. Quote. Although well intentioned, the these sites were 562 00:33:00,960 --> 00:33:05,600 Speaker 2: unregulated and unsafed, said Neiha Desai, the senior director of 563 00:33:05,680 --> 00:33:08,920 Speaker 2: Immigration at the National Center for Youth Law. There was 564 00:33:09,200 --> 00:33:13,800 Speaker 2: enormous pressure placed on the sites to rapidly release children 565 00:33:13,840 --> 00:33:17,960 Speaker 2: from custody, and the Biden Harris administration pressed them to 566 00:33:18,040 --> 00:33:21,880 Speaker 2: release at these emergency shelters. Case workers were told to 567 00:33:21,960 --> 00:33:28,160 Speaker 2: discharge children within ten to fourteen days, and so they 568 00:33:28,200 --> 00:33:31,480 Speaker 2: released kids without knowing if the people they were giving 569 00:33:31,520 --> 00:33:34,920 Speaker 2: them too were dangerous, without knowing what was happening, and 570 00:33:35,000 --> 00:33:43,040 Speaker 2: yet tragically the result is many kids suffered horrific mistreatment. 571 00:33:43,680 --> 00:33:47,000 Speaker 1: As always, thank you for listening to Verdict with Center 572 00:33:47,080 --> 00:33:49,479 Speaker 1: Ted Cruz, Ben Ferguson with you don't forget to deal 573 00:33:49,600 --> 00:33:51,760 Speaker 1: with my podcast, and you can listen to my podcast 574 00:33:51,840 --> 00:33:53,800 Speaker 1: every other day you're not listening to Verdict or each 575 00:33:53,880 --> 00:33:56,320 Speaker 1: day when you listen to Verdict. Afterwards, I'd love to 576 00:33:56,360 --> 00:33:59,440 Speaker 1: have you as a listener to again, Ben Ferguson Podcasts, 577 00:33:59,440 --> 00:34:01,960 Speaker 1: and we will see you back here on Monday morning.