1 00:00:01,160 --> 00:00:04,240 Speaker 1: Welcome. It is Verdic with Ted Cruz Ben Ferguson with you. 2 00:00:04,320 --> 00:00:06,520 Speaker 1: It's the Weekend Review, and here are the big stories 3 00:00:06,519 --> 00:00:08,840 Speaker 1: that you may have missed that we talked about. First up, 4 00:00:09,240 --> 00:00:12,240 Speaker 1: the media lied using a five year old boy to 5 00:00:12,360 --> 00:00:16,279 Speaker 1: slander Ice and Homeland Security agents. So what is the 6 00:00:16,360 --> 00:00:19,000 Speaker 1: real story. Well, it's not what they told you, and 7 00:00:19,040 --> 00:00:22,520 Speaker 1: we'll have it for you. Also, the nitty gritty on 8 00:00:22,600 --> 00:00:26,200 Speaker 1: the Trump accounts and how it could literally transform America 9 00:00:26,239 --> 00:00:29,319 Speaker 1: into a different place for young people. This is a 10 00:00:29,520 --> 00:00:32,720 Speaker 1: major opportunity for so many American families, So how can 11 00:00:32,760 --> 00:00:34,840 Speaker 1: you get involved in it? We'll explain it as well. 12 00:00:35,760 --> 00:00:38,440 Speaker 1: And finally, a man that was shot in Minneapolis. They 13 00:00:38,560 --> 00:00:41,600 Speaker 1: memorialized him in the media as a kind, loving man 14 00:00:41,680 --> 00:00:44,120 Speaker 1: who is just to do gooder. Well, now more of 15 00:00:44,120 --> 00:00:47,080 Speaker 1: the story's coming out, and that man wasn't so peaceful 16 00:00:47,240 --> 00:00:51,120 Speaker 1: after all. It's the Weekend Review and it starts right now. 17 00:00:51,880 --> 00:00:55,760 Speaker 2: Ice apprehends five year old child. That story was everywhere, 18 00:00:55,760 --> 00:00:59,040 Speaker 2: By the way, it's a total lie. It's absolutely false. 19 00:00:59,080 --> 00:01:01,960 Speaker 2: In fact, what happened and is Ice came to apprehend 20 00:01:02,000 --> 00:01:04,800 Speaker 2: the father. The father ran off and abandoned the five 21 00:01:04,880 --> 00:01:08,360 Speaker 2: year old child. And and understandably, Ice was not going 22 00:01:08,400 --> 00:01:11,399 Speaker 2: to leave a five year old child alone on the 23 00:01:11,440 --> 00:01:13,480 Speaker 2: street in the death outside. 24 00:01:13,520 --> 00:01:15,840 Speaker 1: Yeah, I mean they wouldn' leave alone period. But the 25 00:01:16,040 --> 00:01:17,720 Speaker 1: but the argument that the left has made, I'm like, 26 00:01:17,800 --> 00:01:19,600 Speaker 1: let me get this straight. You guys want the kid 27 00:01:19,640 --> 00:01:21,520 Speaker 1: to be left alone just to wander the streets of 28 00:01:21,560 --> 00:01:25,200 Speaker 1: a city and be alone. That's insane. And then in 29 00:01:25,240 --> 00:01:28,040 Speaker 1: the winter when they could freeze death, that's also insane. 30 00:01:28,319 --> 00:01:30,360 Speaker 2: They, by the way, found the woman, the mother of 31 00:01:30,400 --> 00:01:33,600 Speaker 2: the child. It is reported they found the mother of 32 00:01:33,640 --> 00:01:35,440 Speaker 2: the child. They knocked on the door, tried to give 33 00:01:35,480 --> 00:01:37,959 Speaker 2: the child back to her. She wouldn't take him. She 34 00:01:38,040 --> 00:01:40,240 Speaker 2: closed the door and said, no, I won't take him. 35 00:01:40,920 --> 00:01:44,120 Speaker 2: And so, look, the purpose of that story is not 36 00:01:44,280 --> 00:01:49,320 Speaker 2: actually factual journalism. It is entirely about telling a story 37 00:01:49,360 --> 00:01:54,640 Speaker 2: to pull on people's heartstrings and to cause suburban voters 38 00:01:54,640 --> 00:01:57,640 Speaker 2: who are not paying close attention to say, oh, this 39 00:01:57,760 --> 00:02:00,640 Speaker 2: has gone too far. If they're shooting moms and nurses 40 00:02:00,680 --> 00:02:04,240 Speaker 2: and arresting little kids, clearly it's gone too far. This 41 00:02:04,520 --> 00:02:08,799 Speaker 2: is a political campaign, and tragically, it's a political campaign 42 00:02:08,800 --> 00:02:12,800 Speaker 2: that is costing people's lives. But because look, the political 43 00:02:12,800 --> 00:02:14,480 Speaker 2: campaign is having some real effect. 44 00:02:14,639 --> 00:02:17,160 Speaker 3: It is, it is having a fact. 45 00:02:17,560 --> 00:02:22,160 Speaker 2: We saw, you know, John Kasick speaking of suburban women. 46 00:02:24,240 --> 00:02:28,080 Speaker 2: We saw John Kasik put out a whole video saying, 47 00:02:28,560 --> 00:02:32,320 Speaker 2: you know, oh, oh, I'm just I'm hurting so much. 48 00:02:32,400 --> 00:02:36,160 Speaker 2: We must stop, we must stop arresting illegals. You know, 49 00:02:36,360 --> 00:02:41,520 Speaker 2: Unfortunately that's the target audience. And and in the world 50 00:02:41,600 --> 00:02:44,240 Speaker 2: of politics, we've got to realize that we've got to 51 00:02:44,280 --> 00:02:48,320 Speaker 2: confront the bad stories with stories that are compelling, and 52 00:02:48,360 --> 00:02:52,000 Speaker 2: it's where tone matters, and I would encourage Look, the 53 00:02:52,040 --> 00:02:56,359 Speaker 2: administration is doing a fantastic job securing the border. Illegal 54 00:02:56,400 --> 00:03:00,280 Speaker 2: crossings have dropped ninety nine percent. It's phenomenal, doing a 55 00:03:00,360 --> 00:03:05,040 Speaker 2: terrific job going and arresting violent criminals, murderers and rapists 56 00:03:05,080 --> 00:03:08,320 Speaker 2: and gang bangers, which is why we've seen the murder 57 00:03:08,400 --> 00:03:11,440 Speaker 2: rate drop twenty percent. We covered that in the last podcast, 58 00:03:11,440 --> 00:03:15,040 Speaker 2: that the murder rate has dropped twenty percent across the country. 59 00:03:15,040 --> 00:03:16,400 Speaker 3: That's a massive success. 60 00:03:16,639 --> 00:03:20,960 Speaker 2: What I think the administration could do better is the 61 00:03:21,080 --> 00:03:25,400 Speaker 2: tone with which they're describing this. That immediately when an 62 00:03:25,400 --> 00:03:29,880 Speaker 2: incident like this happens, they come out guns blazing, that 63 00:03:30,280 --> 00:03:35,040 Speaker 2: we took out a violent terrorist hooray. And the problem is, 64 00:03:35,160 --> 00:03:38,320 Speaker 2: particularly for someone not paying attention, if you're being told 65 00:03:38,760 --> 00:03:41,080 Speaker 2: this is a mom of three and there's no indication, 66 00:03:41,280 --> 00:03:44,680 Speaker 2: you know, she's not waving an ISIS flag or doesn't 67 00:03:44,720 --> 00:03:49,840 Speaker 2: have a suicide vest around her, Escalating the rhetoric doesn't help, 68 00:03:50,600 --> 00:03:54,400 Speaker 2: and it actually loses credibility. And so I would encourage 69 00:03:54,400 --> 00:03:58,480 Speaker 2: the administration to be more measured, to recognize the tragedy 70 00:03:58,720 --> 00:03:59,280 Speaker 2: and to say. 71 00:03:59,200 --> 00:04:03,000 Speaker 3: We don't want any one anyone's lives to be lost. 72 00:04:03,080 --> 00:04:08,400 Speaker 2: And the politicians who are pouring gasoline onto this fire, 73 00:04:08,480 --> 00:04:09,280 Speaker 2: they need to stop. 74 00:04:09,560 --> 00:04:11,920 Speaker 1: Yeah, I agree with you there, and I also think, look, 75 00:04:11,960 --> 00:04:15,840 Speaker 1: facts matter. Explaining what happened is very important. The five 76 00:04:15,880 --> 00:04:18,599 Speaker 1: year old story is a perfect example. All the morning 77 00:04:18,640 --> 00:04:22,280 Speaker 1: news shows, ABCNBCCBS, they led with that story and ran 78 00:04:22,360 --> 00:04:24,440 Speaker 1: it into the ground that morning that a five year 79 00:04:24,480 --> 00:04:27,880 Speaker 1: old was detained by ice and they didn't correct that story. 80 00:04:28,640 --> 00:04:31,160 Speaker 1: Not only is Democratic Party looking for an opportunity, so 81 00:04:31,320 --> 00:04:34,880 Speaker 1: is the media and they now believe that like this 82 00:04:35,080 --> 00:04:37,599 Speaker 1: civil war and hold this flag up is you know 83 00:04:37,680 --> 00:04:40,599 Speaker 1: and planet is we as Democrats were willing to shut 84 00:04:40,640 --> 00:04:42,960 Speaker 1: down the government to defund ice. That's going to be 85 00:04:43,000 --> 00:04:46,479 Speaker 1: the premise is what I've been told from many in 86 00:04:46,520 --> 00:04:48,240 Speaker 1: the media that I've talked to, and some of my 87 00:04:48,279 --> 00:04:50,200 Speaker 1: friends on the left. They're like, yeah, we're gonna shut down. 88 00:04:50,200 --> 00:04:52,960 Speaker 1: We're justified this time, way more than we were last time. 89 00:04:53,279 --> 00:04:55,640 Speaker 1: Last time we really weren't justified very much and shuting 90 00:04:55,680 --> 00:04:58,200 Speaker 1: down the government, but we tried it anyway. Now they 91 00:04:58,240 --> 00:05:00,400 Speaker 1: actually feel in bolden do you do you think a 92 00:05:00,440 --> 00:05:02,200 Speaker 1: government shutdown is going to come? Yes or no? 93 00:05:02,880 --> 00:05:04,159 Speaker 3: Yes, one hundred percent? 94 00:05:04,240 --> 00:05:07,480 Speaker 1: Yes, okay, and it's going to be tied to this issue, right. 95 00:05:07,440 --> 00:05:09,200 Speaker 3: Yes, yes, one hundred percent. 96 00:05:09,760 --> 00:05:12,799 Speaker 2: The last government shutdown, which was the longest government shutdown 97 00:05:12,839 --> 00:05:15,960 Speaker 2: in US history, Chuck Schumer and the Democrats forced through 98 00:05:16,920 --> 00:05:19,520 Speaker 2: really to show his radical base that he was fighting 99 00:05:19,560 --> 00:05:22,920 Speaker 2: because he's scared of being primary by AOC. But they 100 00:05:23,000 --> 00:05:25,560 Speaker 2: also did it to tee up the issue of healthcare 101 00:05:25,760 --> 00:05:28,919 Speaker 2: and the cost of health insurance premiums. Mind you, the 102 00:05:28,960 --> 00:05:32,680 Speaker 2: premiums have skyrocketed because of Obamacare, because of their policy. 103 00:05:33,160 --> 00:05:36,320 Speaker 2: But they did the shutdown. It was entirely with an 104 00:05:36,320 --> 00:05:39,120 Speaker 2: eye towards November that they say, look, we fought like 105 00:05:39,240 --> 00:05:42,840 Speaker 2: crazy on health insurance and the mean Republicans didn't give 106 00:05:42,920 --> 00:05:45,680 Speaker 2: us what we wanted, which was fifty billion dollars in 107 00:05:45,720 --> 00:05:49,560 Speaker 2: corporate welfare subsidies to giant health insurance companies, and that's 108 00:05:49,640 --> 00:05:53,320 Speaker 2: why your health insurance has gone up. Now that's factually wrong, 109 00:05:54,640 --> 00:05:59,760 Speaker 2: but it is a political narrative they're telling here. They're 110 00:05:59,760 --> 00:06:02,440 Speaker 2: going to to tell the narrative, we will not fund 111 00:06:02,520 --> 00:06:05,760 Speaker 2: ICE under any circumstances, and we will shut the government down. 112 00:06:05,760 --> 00:06:09,960 Speaker 2: And by the way, the media covered for them so much. 113 00:06:10,000 --> 00:06:13,479 Speaker 2: Their base was so happy with the shutdown. I think 114 00:06:13,520 --> 00:06:17,280 Speaker 2: they perceive very few downsides to shutting the government down. Now, 115 00:06:18,320 --> 00:06:21,960 Speaker 2: this shutdown that will happen on January thirtieth will will 116 00:06:22,120 --> 00:06:24,640 Speaker 2: likely be smaller than the previous one. 117 00:06:24,640 --> 00:06:26,360 Speaker 3: And the reason is we've funded. 118 00:06:26,080 --> 00:06:29,200 Speaker 1: Still explain explain why, because does that mean they're being 119 00:06:29,200 --> 00:06:31,720 Speaker 1: more strategic in how they're doing it or explain that. 120 00:06:31,839 --> 00:06:36,440 Speaker 2: Okay, Now, between the two, we have passed some appropriations bills. 121 00:06:36,440 --> 00:06:40,880 Speaker 2: So once appropriations bills are passed, those departments are funding, 122 00:06:40,960 --> 00:06:44,400 Speaker 2: so AG that the Department of Agriculture is funded, and 123 00:06:44,440 --> 00:06:48,640 Speaker 2: so everything that goes through AG is funded, CJS, Commerce, 124 00:06:49,000 --> 00:06:52,320 Speaker 2: Justice and Science that is funded, Energy is funded, water 125 00:06:52,480 --> 00:06:58,960 Speaker 2: is funded, Interior environment, Ledge branch, military construction in the VA. 126 00:06:59,000 --> 00:07:01,800 Speaker 2: All of those are fund so the shutdown will not 127 00:07:01,920 --> 00:07:04,839 Speaker 2: impact any of those. So what would a shut down impact. 128 00:07:05,520 --> 00:07:09,120 Speaker 2: It would impact Defense, the Department of War, It would 129 00:07:09,120 --> 00:07:12,920 Speaker 2: impact the Department of Labor, It would impact HHS, It 130 00:07:12,960 --> 00:07:16,680 Speaker 2: would impact the Department of Education. It would impact the 131 00:07:16,720 --> 00:07:19,800 Speaker 2: Department of Transportation and Housing in Urban Development. It would 132 00:07:19,840 --> 00:07:24,800 Speaker 2: impact the SEC, the FCC, the independent agencies, And it 133 00:07:24,840 --> 00:07:29,559 Speaker 2: would impact DHS, the Department of Homeland Security, and ICE 134 00:07:29,640 --> 00:07:32,960 Speaker 2: directly under that. And I think you're going to see 135 00:07:33,080 --> 00:07:35,480 Speaker 2: the Democrats force a shut down. And actually you don't 136 00:07:35,480 --> 00:07:37,880 Speaker 2: have to take my words for it. Here, let me 137 00:07:37,960 --> 00:07:40,760 Speaker 2: read for you what Schumer tweeted out to the world. 138 00:07:41,000 --> 00:07:45,600 Speaker 2: He said, quote, what's happening in Minnesota is appalling and 139 00:07:45,760 --> 00:07:51,000 Speaker 2: unacceptable in any American city. Democrats sought common sense reforms 140 00:07:51,000 --> 00:07:54,280 Speaker 2: in the Department of Homeland Security spending bill, but because 141 00:07:54,280 --> 00:07:57,880 Speaker 2: of Republican's refusal to stand up to President Trump, the 142 00:07:57,960 --> 00:08:01,400 Speaker 2: DHS bill is woefully inadequate to rein in the abuses 143 00:08:01,440 --> 00:08:01,840 Speaker 2: of ICE. 144 00:08:02,760 --> 00:08:03,800 Speaker 3: I will vote no. 145 00:08:04,720 --> 00:08:08,120 Speaker 2: Senate Democrats will not provide the votes to proceed to 146 00:08:08,160 --> 00:08:13,560 Speaker 2: the Appropriations bill if the DHS funding bill is included there. 147 00:08:13,560 --> 00:08:17,560 Speaker 2: He is explicitly unequivocally threatening a shutdown. 148 00:08:17,560 --> 00:08:19,440 Speaker 3: I think that's what we're gonna see. Come Janus. 149 00:08:19,520 --> 00:08:21,160 Speaker 1: And by the way, he's not the only one. So 150 00:08:21,360 --> 00:08:24,080 Speaker 1: Elizabeth Warren was responding to another tweet. I want to 151 00:08:24,120 --> 00:08:26,760 Speaker 1: read it. It was just the tweet she was responding 152 00:08:26,760 --> 00:08:30,240 Speaker 1: to to give it context. Says reminder, DHS legislation that 153 00:08:30,400 --> 00:08:34,400 Speaker 1: funds ICE at current levels without policy restrictions is in 154 00:08:34,440 --> 00:08:36,800 Speaker 1: the Senate and needs sixty votes to pass. Deadline is 155 00:08:36,840 --> 00:08:40,320 Speaker 1: next Friday. Elizabeth Warren puts that out there with this 156 00:08:40,480 --> 00:08:42,920 Speaker 1: and she says, quote, I'm a hell no, not a 157 00:08:42,960 --> 00:08:47,640 Speaker 1: penny more for ICE. We should not fund this terror. 158 00:08:48,040 --> 00:08:51,080 Speaker 1: So she's also jumping on board with this as well. 159 00:08:51,120 --> 00:08:53,240 Speaker 1: And then there's other centers have come out and so 160 00:08:53,400 --> 00:08:55,560 Speaker 1: this is why I say this isn't a one off. 161 00:08:55,960 --> 00:08:58,920 Speaker 1: This is clearly a coordinated attack, is the best way 162 00:08:58,920 --> 00:08:59,599 Speaker 1: I can describe it. 163 00:09:00,000 --> 00:09:02,959 Speaker 3: Well, Well, here's Chris Murphy on CNN, give a listen. 164 00:09:03,120 --> 00:09:07,600 Speaker 4: I want to ask about what you're leader. Chuck Schumber says, 165 00:09:07,880 --> 00:09:10,200 Speaker 4: the Democrats are going to vote against a government funding 166 00:09:10,240 --> 00:09:13,560 Speaker 4: package that is before the Senate soon and it includes 167 00:09:13,600 --> 00:09:16,680 Speaker 4: money for the Department of Homeland Security. How is that 168 00:09:16,760 --> 00:09:17,480 Speaker 4: going to play out? 169 00:09:18,320 --> 00:09:21,959 Speaker 5: Well, we can't vote to fund this lawless Department of 170 00:09:22,000 --> 00:09:23,079 Speaker 5: Homeland Security. 171 00:09:23,360 --> 00:09:26,560 Speaker 1: We can't fund this lawless Department of Homeland Security. Center. 172 00:09:26,600 --> 00:09:28,760 Speaker 1: That's pretty bold words if you ask me by a 173 00:09:28,800 --> 00:09:30,679 Speaker 1: center that clearly is like, hey, we're all on the 174 00:09:30,720 --> 00:09:32,440 Speaker 1: same page. This is what we're doing now. 175 00:09:33,160 --> 00:09:36,960 Speaker 2: Yeah, Look that's the position of every Democrat. And understand, 176 00:09:36,960 --> 00:09:39,760 Speaker 2: this is the same position that is abolish ICE and 177 00:09:39,800 --> 00:09:43,480 Speaker 2: abolish the police. They're saying they're going to refuse to 178 00:09:43,640 --> 00:09:47,760 Speaker 2: fund the Department of Homeland Security, the department that is 179 00:09:47,880 --> 00:09:51,360 Speaker 2: charged with keeping us safe, with securing our border, with 180 00:09:51,480 --> 00:09:55,200 Speaker 2: protecting our families, and the Democrats are saying we won't 181 00:09:55,240 --> 00:09:55,679 Speaker 2: fund it. 182 00:09:55,920 --> 00:09:57,040 Speaker 3: So what will happen. 183 00:09:57,840 --> 00:10:00,600 Speaker 2: I think there's a chance we see Congress put together 184 00:10:00,679 --> 00:10:05,240 Speaker 2: an appropriations package that funds everything but DHS that that 185 00:10:05,360 --> 00:10:06,840 Speaker 2: might be that might pass. 186 00:10:08,280 --> 00:10:09,760 Speaker 3: In terms of DHS. 187 00:10:10,720 --> 00:10:13,160 Speaker 2: I think the Democrats are going to force a shutdown, 188 00:10:13,160 --> 00:10:14,959 Speaker 2: and I think they want it to be extended and 189 00:10:15,800 --> 00:10:16,240 Speaker 2: in order. 190 00:10:16,320 --> 00:10:18,400 Speaker 1: This is not a short one. To be clear, you 191 00:10:18,440 --> 00:10:21,320 Speaker 1: think they want this to be painful, almost like they're 192 00:10:21,360 --> 00:10:23,400 Speaker 1: running in the midterms on this issue of ICE. 193 00:10:24,080 --> 00:10:26,559 Speaker 2: I think they want to be able to tell their base, 194 00:10:27,120 --> 00:10:31,280 Speaker 2: we are defunding ICE, we are abolishing ICE, we are 195 00:10:31,440 --> 00:10:35,400 Speaker 2: against law enforcement, we'rew the criminals. That's that's their messaging. 196 00:10:35,920 --> 00:10:38,359 Speaker 1: Now, if you want to hear the rest of this conversation, 197 00:10:38,559 --> 00:10:40,960 Speaker 1: you can go back and listen to the full podcast 198 00:10:41,000 --> 00:10:42,199 Speaker 1: from earlier this week. 199 00:10:43,160 --> 00:10:44,640 Speaker 3: Now onto story number two. 200 00:10:45,480 --> 00:10:47,040 Speaker 1: All right, center, I want to get back to these 201 00:10:47,040 --> 00:10:50,360 Speaker 1: Trump accounts, and let's talk about the nitty gritty of this. 202 00:10:50,800 --> 00:10:56,280 Speaker 1: When you look at the dollars and the growing of wealth, 203 00:10:56,679 --> 00:10:59,920 Speaker 1: and how this could fundamentally change a country where every 204 00:11:00,200 --> 00:11:02,840 Speaker 1: child that is in poverty could get out of poverty 205 00:11:03,000 --> 00:11:06,400 Speaker 1: just by having these accounts and talk about where they 206 00:11:06,400 --> 00:11:08,120 Speaker 1: could start a small business or be able to pay 207 00:11:08,160 --> 00:11:11,439 Speaker 1: for college or different things like that. It is truly 208 00:11:11,640 --> 00:11:15,320 Speaker 1: empowering for an entire generation. What we are now starting 209 00:11:15,320 --> 00:11:17,240 Speaker 1: with these Trumps accounts. I actually think it's going to 210 00:11:17,280 --> 00:11:19,079 Speaker 1: be one of the biggest parts of your legacy ever. 211 00:11:19,800 --> 00:11:23,640 Speaker 2: Yeah, look, I think the Trump accounts will be truly transformation. 212 00:11:23,800 --> 00:11:26,280 Speaker 2: And I will say it's interesting. I think President Trump, 213 00:11:26,360 --> 00:11:28,880 Speaker 2: initially when we laid out the idea to him, he 214 00:11:29,080 --> 00:11:32,120 Speaker 2: liked it. But I think as he's as he's seen 215 00:11:32,280 --> 00:11:33,960 Speaker 2: more and more what these are going to do. I 216 00:11:33,960 --> 00:11:36,120 Speaker 2: think he's really appreciating that these are going to be 217 00:11:36,160 --> 00:11:39,360 Speaker 2: a huge part of his legacy when when all of 218 00:11:39,440 --> 00:11:41,520 Speaker 2: us are dead and buried, people are still going to 219 00:11:41,600 --> 00:11:45,600 Speaker 2: the impact of the Trump accounts is going to echo forward. 220 00:11:45,600 --> 00:11:49,960 Speaker 2: And the two massive benefits are Number one, every kid 221 00:11:49,960 --> 00:11:52,920 Speaker 2: in America is going to get the benefit of compound growth. 222 00:11:53,160 --> 00:11:55,320 Speaker 2: You know, half of the people in America don't own 223 00:11:55,320 --> 00:11:57,719 Speaker 2: a single stock and don't own a single bond. And 224 00:11:58,280 --> 00:12:01,640 Speaker 2: the impact, well, here to listen to Fox News talking 225 00:12:01,679 --> 00:12:07,280 Speaker 2: about just how much wealth kids can accumulate through these 226 00:12:07,280 --> 00:12:07,960 Speaker 2: Trump accounts. 227 00:12:08,000 --> 00:12:12,439 Speaker 5: You kind of touched on this by age eighteen, right, 228 00:12:13,040 --> 00:12:16,920 Speaker 5: you could have three hundred and three thousand dollars by 229 00:12:17,000 --> 00:12:19,840 Speaker 5: age twenty eight. It's more than a million if you 230 00:12:19,880 --> 00:12:23,760 Speaker 5: do the maximum contributions. If you give no contributions, you're 231 00:12:23,800 --> 00:12:26,280 Speaker 5: still shy of six thousand dollars or its ain't nothing, 232 00:12:26,600 --> 00:12:29,760 Speaker 5: and then eighteen thousand dollars by age twenty eight. You know, 233 00:12:29,880 --> 00:12:34,319 Speaker 5: President Bush forty three pushed this idea about twenty five years. 234 00:12:34,559 --> 00:12:37,080 Speaker 1: I mean, you look at just the political willpower of 235 00:12:37,120 --> 00:12:40,240 Speaker 1: getting something like this done. It shouldn't take this much, 236 00:12:40,280 --> 00:12:43,079 Speaker 1: but this was a major fight center that you had 237 00:12:43,120 --> 00:12:45,720 Speaker 1: to go to warwid to get it to happen. And 238 00:12:45,760 --> 00:12:46,880 Speaker 1: I don't understand why. 239 00:12:48,040 --> 00:12:51,720 Speaker 2: Look, in the tax cut, you were competing with everything else. 240 00:12:51,760 --> 00:12:55,800 Speaker 2: Everyone else had a priority, and so it was dividing 241 00:12:55,840 --> 00:12:58,720 Speaker 2: the pie. And it was also look, this was something new, 242 00:12:58,800 --> 00:13:01,280 Speaker 2: it was major. Getting it through through the Senate Parliamentarian 243 00:13:01,400 --> 00:13:03,920 Speaker 2: was a real challenge, and we fought hard and got 244 00:13:03,920 --> 00:13:07,240 Speaker 2: it through. And you know, you look at that math. 245 00:13:08,160 --> 00:13:10,599 Speaker 2: You know you're not talking about just the kids of 246 00:13:10,960 --> 00:13:14,400 Speaker 2: rich people. You're talking about the kids of a single 247 00:13:14,440 --> 00:13:17,800 Speaker 2: mom who's waiting tables and the math of that. 248 00:13:17,960 --> 00:13:21,040 Speaker 3: So a little girl born this year, she. 249 00:13:21,040 --> 00:13:24,280 Speaker 2: Gets the thousand dollars automatically put in the account, and 250 00:13:24,640 --> 00:13:27,920 Speaker 2: that can accumulate and grow. But where the real math 251 00:13:28,040 --> 00:13:30,800 Speaker 2: is is if their contributions of five thousand a year. 252 00:13:31,240 --> 00:13:33,880 Speaker 2: Now those can come from a parent, those can come 253 00:13:33,920 --> 00:13:36,199 Speaker 2: from a family member, or those can come from an employer. 254 00:13:36,320 --> 00:13:41,120 Speaker 2: And there are two big accelerants that we wrote into 255 00:13:41,160 --> 00:13:44,400 Speaker 2: the bill. Number one is the employer piece of it 256 00:13:44,480 --> 00:13:47,720 Speaker 2: that the employers think about. To give you a sense 257 00:13:47,760 --> 00:13:52,600 Speaker 2: of the scope and magnitude, think back to when Congress 258 00:13:52,640 --> 00:13:55,000 Speaker 2: passed section four oh one K of Arissa. That was 259 00:13:55,080 --> 00:14:00,600 Speaker 2: decades ago, and I suspect nobody in Congress knew just 260 00:14:00,679 --> 00:14:03,560 Speaker 2: how fundamentally they were going to change how Americans save 261 00:14:03,679 --> 00:14:08,720 Speaker 2: for retirement. There are right now more than twelve trillion 262 00:14:09,040 --> 00:14:13,040 Speaker 2: dollars in four oh one K accounts. It's massive, and 263 00:14:14,320 --> 00:14:17,280 Speaker 2: there will be in just a couple of years trillions 264 00:14:17,360 --> 00:14:19,200 Speaker 2: of dollars in Trump accounts as well. 265 00:14:19,520 --> 00:14:21,080 Speaker 3: The volume of it is massive. 266 00:14:21,120 --> 00:14:23,680 Speaker 2: And one of the things that's a real accelerant is, 267 00:14:24,080 --> 00:14:29,000 Speaker 2: you know, most big employers match four A one K contributions. 268 00:14:29,000 --> 00:14:32,000 Speaker 2: If you're an employee, they'll sometimes employers will contribute directly 269 00:14:32,000 --> 00:14:34,600 Speaker 2: to four O one k's. Other times they'll match if 270 00:14:34,640 --> 00:14:37,240 Speaker 2: you make a contribution. I think we are going to 271 00:14:37,280 --> 00:14:39,120 Speaker 2: see the same thing with Trump accounts, that this is 272 00:14:39,160 --> 00:14:43,840 Speaker 2: going to become a standard, a ubiquitous employee benefit that 273 00:14:44,000 --> 00:14:48,720 Speaker 2: employers will say, we're going to match your contributions or 274 00:14:48,720 --> 00:14:51,560 Speaker 2: contribute directly to the Trump accounts that your kids have. 275 00:14:52,440 --> 00:14:55,720 Speaker 2: A bunch of big employers have already announced they're doing that. Actually, 276 00:14:55,800 --> 00:14:58,920 Speaker 2: Visa had a very clever thing they announced. They said 277 00:14:58,960 --> 00:15:01,800 Speaker 2: you can use your ward points, you can convert them 278 00:15:01,800 --> 00:15:04,400 Speaker 2: into money and deposit them in your kids trump accounts. 279 00:15:05,000 --> 00:15:09,320 Speaker 2: That's an accelerant to help more dollars get in. And 280 00:15:09,760 --> 00:15:12,680 Speaker 2: one of the things about compound growth that you know 281 00:15:12,880 --> 00:15:16,960 Speaker 2: is the earlier you invest, the bigger it grows. And 282 00:15:17,000 --> 00:15:19,480 Speaker 2: that's one of the things that's really powerful is starting. 283 00:15:20,360 --> 00:15:23,160 Speaker 2: You know, if someone starts saving at age forty or 284 00:15:23,160 --> 00:15:27,080 Speaker 2: fifty or sixty, so far behind, Yeah, they don't have 285 00:15:27,160 --> 00:15:29,960 Speaker 2: a long enough time horizon for it to really grow 286 00:15:30,000 --> 00:15:33,360 Speaker 2: into big, big numbers. If you start at age zero, 287 00:15:34,040 --> 00:15:37,480 Speaker 2: that gives a long time for that growth to compound. 288 00:15:37,520 --> 00:15:40,600 Speaker 3: That's really powerful. The second accelerate. 289 00:15:40,360 --> 00:15:42,680 Speaker 1: Go back to the number that you mentioned that Fox 290 00:15:42,720 --> 00:15:45,440 Speaker 1: had there. If you do the maximum contribution, you have 291 00:15:45,480 --> 00:15:48,600 Speaker 1: a child five grand a year, all right, like five 292 00:15:48,720 --> 00:15:51,760 Speaker 1: grand a year. You think about that over I mean 293 00:15:51,800 --> 00:15:54,720 Speaker 1: over twelve years at sixty thousand dollars that you put in. 294 00:15:55,000 --> 00:15:57,720 Speaker 1: But if you keep going, and I'm putting that perspective 295 00:15:57,760 --> 00:16:00,000 Speaker 1: to realize, like, this is not a crazy amount of money. 296 00:16:00,040 --> 00:16:03,280 Speaker 1: If you're disciplined, you're talking about a million, ninety one, 297 00:16:03,720 --> 00:16:07,640 Speaker 1: nine hundred dollars by age twenty eight. That is unbelievable. 298 00:16:09,080 --> 00:16:11,640 Speaker 2: Yeah, And look, look, five thousand a year is about 299 00:16:11,640 --> 00:16:14,080 Speaker 2: one hundred bucks a week. And so that can come 300 00:16:14,080 --> 00:16:16,760 Speaker 2: from a parent, come from another family member. But the 301 00:16:16,840 --> 00:16:20,360 Speaker 2: other accelerant that's really powerful is we wrote this so 302 00:16:20,400 --> 00:16:23,760 Speaker 2: that it could accept charitable gifts. So, as you know 303 00:16:23,880 --> 00:16:27,400 Speaker 2: Michael and Susan Dell are giving six and a quarter 304 00:16:27,640 --> 00:16:30,480 Speaker 2: billion dollars, they're giving two hundred and fifty dollars to 305 00:16:30,600 --> 00:16:34,400 Speaker 2: every child under ten who lives in a zip code 306 00:16:34,400 --> 00:16:36,680 Speaker 2: where the median income is one hundred and fifty thousand 307 00:16:36,720 --> 00:16:40,840 Speaker 2: and less or less. That is a massive contribution. Brad Gershner, 308 00:16:41,760 --> 00:16:43,800 Speaker 2: who came up with the idea for the Trump accounts 309 00:16:43,840 --> 00:16:46,280 Speaker 2: and who was my partner in getting this done, and 310 00:16:46,280 --> 00:16:49,000 Speaker 2: we worked hand in hand. Brad has announced he's doing 311 00:16:49,080 --> 00:16:52,440 Speaker 2: the same thing for the state of Indiana, two hundred 312 00:16:52,480 --> 00:16:54,800 Speaker 2: and fifty bucks for every kid under five, but it's 313 00:16:54,800 --> 00:16:56,480 Speaker 2: going to be about two hundred and fifty million dollars 314 00:16:56,520 --> 00:17:00,640 Speaker 2: that he's giving, and same thing targeted for kids in 315 00:17:01,640 --> 00:17:03,360 Speaker 2: zip codes with the media income as one hundred and 316 00:17:03,360 --> 00:17:05,440 Speaker 2: fifty thousand or less. I think you're going to see 317 00:17:05,600 --> 00:17:11,200 Speaker 2: lots of people doing charitable contributions. That is really really powerful, 318 00:17:11,200 --> 00:17:14,480 Speaker 2: and it's something President Trump is encouraging. It's something I'm 319 00:17:14,560 --> 00:17:19,119 Speaker 2: encouraging every employer to do this. I'm encouraging philanthropists. And 320 00:17:19,119 --> 00:17:21,000 Speaker 2: by the way, Michael Dell has said he's not done 321 00:17:21,000 --> 00:17:23,240 Speaker 2: at six and a quarter billion. He's talked about giving 322 00:17:23,280 --> 00:17:26,080 Speaker 2: a lot more money than that. One of the cool 323 00:17:26,119 --> 00:17:30,040 Speaker 2: things about this is it's infinitely scalable. So Michael Dell 324 00:17:30,200 --> 00:17:34,119 Speaker 2: has more than one hundred million dollars. If you're thinking 325 00:17:34,160 --> 00:17:36,480 Speaker 2: about where to give your money away in philanthropy, there 326 00:17:36,480 --> 00:17:38,000 Speaker 2: are not a lot of charities that can take. 327 00:17:37,880 --> 00:17:38,840 Speaker 3: Amounts that big. 328 00:17:39,640 --> 00:17:43,359 Speaker 2: This is infinitely scalable, and so it has a potential 329 00:17:43,560 --> 00:17:48,000 Speaker 2: really to accelerate the wealth creation for kids. 330 00:17:48,520 --> 00:17:50,440 Speaker 1: As before, if you want to hear the rest of 331 00:17:50,480 --> 00:17:53,359 Speaker 1: this conversation on this topic, you can go back and 332 00:17:53,400 --> 00:17:55,879 Speaker 1: dow the podcast from earlier this week to hear the 333 00:17:56,040 --> 00:17:59,399 Speaker 1: entire thing. I want to get back to the big 334 00:17:59,560 --> 00:18:01,639 Speaker 1: story number three of the week. You may have missed, 335 00:18:02,000 --> 00:18:04,200 Speaker 1: all right, Senata, I want to get into this other story, 336 00:18:04,240 --> 00:18:07,000 Speaker 1: that is the media and the bias in the media 337 00:18:07,119 --> 00:18:13,720 Speaker 1: and the narrative they've been pushing in Minnesota, specifically with 338 00:18:13,880 --> 00:18:17,439 Speaker 1: this ICU nurse. They turn him into a do gooder. 339 00:18:17,560 --> 00:18:19,840 Speaker 1: We then get a video that comes out showing him 340 00:18:19,880 --> 00:18:24,760 Speaker 1: attacking ICE agents days before the the fatal confrontation with Ice, 341 00:18:25,160 --> 00:18:28,439 Speaker 1: and that part seems to be just disappearing from the 342 00:18:28,440 --> 00:18:29,320 Speaker 1: media's coverage. 343 00:18:30,200 --> 00:18:33,199 Speaker 2: Well, yeah, look, we have seen with with with the 344 00:18:33,240 --> 00:18:36,240 Speaker 2: protests and the riots that are that are unfolding in Minneapolis, 345 00:18:36,280 --> 00:18:39,679 Speaker 2: we have seen the corporate media just turn into shameless 346 00:18:39,680 --> 00:18:43,120 Speaker 2: propagandist and and they have a narrative, and that narrative 347 00:18:43,240 --> 00:18:47,159 Speaker 2: is disconnected from facts and reality, and they're trying to 348 00:18:47,200 --> 00:18:47,920 Speaker 2: mislead people. 349 00:18:47,960 --> 00:18:49,399 Speaker 3: And and so we've seen that. 350 00:18:49,440 --> 00:18:52,520 Speaker 2: We've seen that with the headlines everywhere saying Ice arrested 351 00:18:52,560 --> 00:18:55,000 Speaker 2: a five year old boy, and and you know people 352 00:18:55,000 --> 00:18:56,680 Speaker 2: read that orre like, Okay, that's crazy, why are you 353 00:18:56,760 --> 00:18:57,720 Speaker 2: arresting a five year old? 354 00:18:57,720 --> 00:18:59,960 Speaker 3: Well it turns out they didn't. It's false. It was 355 00:19:00,080 --> 00:19:00,440 Speaker 3: a lie. 356 00:19:01,240 --> 00:19:04,040 Speaker 2: What actually happened is they were they were there arresting 357 00:19:04,160 --> 00:19:06,879 Speaker 2: his father, who was an illegal immigrant, and the father 358 00:19:07,040 --> 00:19:08,919 Speaker 2: ran away and abandoned the five year old, and so 359 00:19:08,960 --> 00:19:11,119 Speaker 2: the five year old is left old alone in the 360 00:19:11,160 --> 00:19:14,160 Speaker 2: cold on the streets of Minneapolis. Of course, Ice didn't 361 00:19:14,240 --> 00:19:16,959 Speaker 2: just leave the kid there to wander outside. That they 362 00:19:17,240 --> 00:19:19,359 Speaker 2: had to take care of him, and in fact, they 363 00:19:19,400 --> 00:19:21,159 Speaker 2: tried to return him to his mother. His mother said no, 364 00:19:21,160 --> 00:19:24,600 Speaker 2: wouln't let him in the house. And so so that 365 00:19:24,600 --> 00:19:29,040 Speaker 2: that's an example. Look, another example, the man who was 366 00:19:29,119 --> 00:19:35,000 Speaker 2: shot in Minneapolis, mister Pretty, you're right. The media portrayed 367 00:19:35,080 --> 00:19:38,720 Speaker 2: him as this, this peaceful protester, this this ICU nurse, 368 00:19:38,760 --> 00:19:43,080 Speaker 2: and and just you saw democrats saying that that Ice 369 00:19:43,200 --> 00:19:46,040 Speaker 2: are cold blooded murderers. And that's a flat out lie, 370 00:19:46,119 --> 00:19:48,680 Speaker 2: and it's a slander, and it is. 371 00:19:48,640 --> 00:19:50,760 Speaker 1: Something you couldn't have One of your colleagues put up 372 00:19:50,960 --> 00:19:54,359 Speaker 1: a AI picture on the floor of the Senate. For 373 00:19:54,400 --> 00:19:56,359 Speaker 1: goodness sakes, that was not a real picture. 374 00:19:57,440 --> 00:20:01,160 Speaker 2: Look, it is designed to be if you lived in dishonest. 375 00:20:01,160 --> 00:20:04,000 Speaker 2: And then a couple of days after the shooting, we 376 00:20:04,080 --> 00:20:06,880 Speaker 2: had a video that the BBC put out that they 377 00:20:06,920 --> 00:20:10,200 Speaker 2: had gotten mister pretty a couple of weeks earlier. And 378 00:20:10,640 --> 00:20:12,480 Speaker 2: let's look at the video. For those who are watching 379 00:20:12,520 --> 00:20:14,840 Speaker 2: this online, let's look at the video real quickly. 380 00:20:15,440 --> 00:20:17,680 Speaker 1: Yeah, and by the way, for those listening right now 381 00:20:17,720 --> 00:20:20,440 Speaker 1: on the radio, we'll put this up on social media. 382 00:20:20,520 --> 00:20:22,680 Speaker 1: But this shows the man spitting in the face of 383 00:20:22,720 --> 00:20:25,359 Speaker 1: ICE agents, kicking the tail out out of their car 384 00:20:26,040 --> 00:20:28,920 Speaker 1: in a full on confrontation. Take a listen and watch 385 00:20:28,960 --> 00:20:30,000 Speaker 1: if you're watching online. 386 00:20:30,800 --> 00:20:33,080 Speaker 6: This is a moment the News Movement filmed on January 387 00:20:33,160 --> 00:20:36,199 Speaker 6: thirteenth in Minneapolis, showing a man who appears to be 388 00:20:36,280 --> 00:20:40,719 Speaker 6: Alex Pretty interacting with federal immigration agents eleven days before 389 00:20:40,840 --> 00:20:45,000 Speaker 6: border patrol shot and killed him. Our footage was analyzed 390 00:20:45,040 --> 00:20:49,240 Speaker 6: by the BBC, whose facial recognition technology confirmed his identity 391 00:20:49,280 --> 00:20:51,600 Speaker 6: to a ninety seven percent degree of accuracy. 392 00:20:52,200 --> 00:20:54,440 Speaker 1: Now the video goes longer than that, and you can 393 00:20:54,440 --> 00:20:57,320 Speaker 1: watch it online. But I think the point that so 394 00:20:57,359 --> 00:20:59,359 Speaker 1: many people to understand is they were talking about the 395 00:20:59,359 --> 00:21:03,720 Speaker 1: accuracy of this video, and hey, it's almost almost positive. Tim, Well, 396 00:21:03,720 --> 00:21:07,120 Speaker 1: the family is now confirmed that this is actually him 397 00:21:07,119 --> 00:21:10,159 Speaker 1: doing this, kicking out the taillight, screaming f you at 398 00:21:10,200 --> 00:21:12,960 Speaker 1: the ICE agents, spitting at the ICE agents, like this 399 00:21:13,000 --> 00:21:16,320 Speaker 1: is a man that wanted a confrontation with law enforcement. 400 00:21:16,359 --> 00:21:18,720 Speaker 1: He was there for that reason that day and in 401 00:21:18,760 --> 00:21:20,600 Speaker 1: the day that unfortunately cost him his life. 402 00:21:21,400 --> 00:21:26,560 Speaker 2: Well, that's right, and this was not peaceful protest. In 403 00:21:26,680 --> 00:21:30,560 Speaker 2: the video, as you said, he was spitting at ICE agents, 404 00:21:30,560 --> 00:21:33,359 Speaker 2: but he also is repeatedly kicking the tail and he 405 00:21:33,480 --> 00:21:35,560 Speaker 2: kicks the tailblight out of an suv. I mean, it's 406 00:21:35,560 --> 00:21:37,920 Speaker 2: a hard kick that he like knocks it out, and 407 00:21:38,119 --> 00:21:41,080 Speaker 2: and that was clearly a violent assault. By the way, 408 00:21:41,720 --> 00:21:44,240 Speaker 2: he has his gun strapped on his waistban while he 409 00:21:44,359 --> 00:21:48,600 Speaker 2: is attacking law enforcement officers, and the media wanted to 410 00:21:48,640 --> 00:21:51,399 Speaker 2: convey it as just you know, he's this peaceful soul. Listen, 411 00:21:51,520 --> 00:21:56,000 Speaker 2: if you engage in acts of violence directed at law enforcement, 412 00:21:57,280 --> 00:21:59,720 Speaker 2: there is a very real risk that the response to 413 00:21:59,720 --> 00:22:01,879 Speaker 2: an act of violence will be the use of force, 414 00:22:01,960 --> 00:22:04,720 Speaker 2: and and in some instances can be the use of 415 00:22:04,800 --> 00:22:07,600 Speaker 2: deadly force. At any time an American has killed in 416 00:22:07,640 --> 00:22:11,280 Speaker 2: an interaction with law enforcement, it is tragic, yes, But 417 00:22:11,280 --> 00:22:15,719 Speaker 2: but the media was being deliberately deceptive, uh in in 418 00:22:16,080 --> 00:22:20,600 Speaker 2: falsely portraying him as this this peaceful protester, almost like 419 00:22:20,640 --> 00:22:22,960 Speaker 2: a non holding a candle by the side of the road. 420 00:22:23,480 --> 00:22:28,359 Speaker 2: And and that's not He was clearly uncaptured on video 421 00:22:28,520 --> 00:22:32,640 Speaker 2: engaged in in in violent attacks on law enforcement. And 422 00:22:32,640 --> 00:22:34,640 Speaker 2: and then in terms of propaganda, I got to say, 423 00:22:34,840 --> 00:22:38,159 Speaker 2: MSNBC went even further, and rather than me tell you 424 00:22:38,200 --> 00:22:41,160 Speaker 2: what happened, listen to Joe Rogan, because Joe Rogan comments 425 00:22:41,200 --> 00:22:47,320 Speaker 2: on just how shameful, shamelessly MSNBC was was acting as 426 00:22:47,359 --> 00:22:48,320 Speaker 2: a political propaganda. 427 00:22:48,359 --> 00:22:51,159 Speaker 1: Yeah, it was wanting you to root for this nurse, 428 00:22:51,280 --> 00:22:53,919 Speaker 1: Like wanted to change who he was so that everyone 429 00:22:54,000 --> 00:22:55,960 Speaker 1: would root for him. Here it is Joe Rogan and 430 00:22:55,960 --> 00:22:58,840 Speaker 1: and Joe Rogan also talking about his own experience. Uh, 431 00:22:58,920 --> 00:23:02,479 Speaker 1: when when he was attacked by the media and they 432 00:23:02,560 --> 00:23:04,440 Speaker 1: changed the color of his skin during COVID. 433 00:23:04,840 --> 00:23:07,120 Speaker 7: Did you see what they have MSNBC did to his image. 434 00:23:07,240 --> 00:23:08,400 Speaker 3: Yeah, they where they were. 435 00:23:08,400 --> 00:23:10,679 Speaker 7: They did the opposite of what CNN did to me. 436 00:23:11,480 --> 00:23:14,120 Speaker 7: You know, CNN during the COVID times turned me green, 437 00:23:14,760 --> 00:23:17,280 Speaker 7: and they made me ugly and look like I was dying. 438 00:23:17,440 --> 00:23:19,879 Speaker 7: And they made him handsome so people would be more 439 00:23:19,920 --> 00:23:23,320 Speaker 7: sympathetic to him getting shot, Which is kind of wild, Like, 440 00:23:23,640 --> 00:23:28,359 Speaker 7: are ugly people less valuable to MSNBC? Less market? That 441 00:23:28,640 --> 00:23:32,560 Speaker 7: is crazy to me, Like, look at the difference, Look 442 00:23:32,560 --> 00:23:35,360 Speaker 7: at the difference. They shortened up his face, they gave 443 00:23:35,400 --> 00:23:37,879 Speaker 7: him a little bit of a tan, they widened his 444 00:23:37,960 --> 00:23:40,240 Speaker 7: face a little bit. It seems like they just made 445 00:23:40,280 --> 00:23:41,120 Speaker 7: him a little handsomer. 446 00:23:42,080 --> 00:23:42,800 Speaker 3: Yeah, a little hot. 447 00:23:42,880 --> 00:23:44,560 Speaker 7: They gave him, gave him a bit of that chad jaw, 448 00:23:44,600 --> 00:23:46,800 Speaker 7: didn't they They shrunk his nose a little too, didn't 449 00:23:46,800 --> 00:23:49,399 Speaker 7: they they did. They shrunk his nose, gave him a 450 00:23:49,400 --> 00:23:52,800 Speaker 7: little bit of a handsome jaw so he looks like and. 451 00:23:53,080 --> 00:23:54,800 Speaker 6: Made him if he look at the shoulders, it even 452 00:23:54,800 --> 00:23:57,440 Speaker 6: looks like they may have plumped up the shoulders. 453 00:23:57,040 --> 00:23:58,879 Speaker 7: There a bit, a little bit. Yeah, the one on 454 00:23:58,920 --> 00:24:03,400 Speaker 7: the right looks like looks like he's a little plumper. Yeah, yeah, yeah. 455 00:24:03,440 --> 00:24:07,760 Speaker 7: They changed the tone of the color wild. I mean 456 00:24:08,119 --> 00:24:11,400 Speaker 7: they changed his teeth man Communist News. Nope, they gave 457 00:24:11,480 --> 00:24:13,919 Speaker 7: him veniers. You know, look, get the difference in his teeth. 458 00:24:14,960 --> 00:24:17,280 Speaker 7: He's a much more handsome guy. Like that one on 459 00:24:17,320 --> 00:24:19,200 Speaker 7: the right is like the handsome brother. 460 00:24:20,240 --> 00:24:21,880 Speaker 1: I mean, Senat you want to talk about just straight 461 00:24:21,960 --> 00:24:25,080 Speaker 1: up propaganda. This dude. They literally made him jacked. They 462 00:24:25,119 --> 00:24:28,040 Speaker 1: gave him muscles, They changed the color of his scrubs 463 00:24:28,040 --> 00:24:30,920 Speaker 1: from the picture, they gave him veneers. They even made 464 00:24:30,960 --> 00:24:33,320 Speaker 1: his beard look a little bit darker and more full, 465 00:24:33,800 --> 00:24:36,480 Speaker 1: changed his nose, Like it was like you went to 466 00:24:36,520 --> 00:24:39,080 Speaker 1: AI and you said, hey, make this guy the most 467 00:24:39,080 --> 00:24:41,840 Speaker 1: attractive you can, and then we're gonna put that up 468 00:24:41,880 --> 00:24:44,840 Speaker 1: on the on TV so that somehow people be rooting 469 00:24:44,840 --> 00:24:47,680 Speaker 1: for him a little bit more. It's it's truly amazing 470 00:24:47,720 --> 00:24:51,000 Speaker 1: that MSNBC did this, and they haven't actually technically apologized 471 00:24:51,000 --> 00:24:53,159 Speaker 1: for it yet. They've put a statement out there, but 472 00:24:53,200 --> 00:24:53,800 Speaker 1: that's about it. 473 00:24:54,240 --> 00:24:57,840 Speaker 2: Yeah, understand, there is zero dispute that MSNBC did this. 474 00:24:57,960 --> 00:25:01,639 Speaker 2: In fact, MSNBC put out a statement they said editor's note, 475 00:25:02,240 --> 00:25:06,080 Speaker 2: ms now swapped out the original thumbnail thumbnail image for 476 00:25:06,160 --> 00:25:10,520 Speaker 2: this video. The previous thumbnail image was an AI enhanced 477 00:25:10,560 --> 00:25:14,040 Speaker 2: image of Alex Predding, so they've acknowledged they used AI 478 00:25:14,720 --> 00:25:17,920 Speaker 2: to significantly change his appearance and to make him markedly 479 00:25:18,000 --> 00:25:22,399 Speaker 2: better looking and look I looked online. As far as 480 00:25:22,400 --> 00:25:26,280 Speaker 2: I can tell, MSNBC has not apologized. Nobody has been fired. 481 00:25:26,320 --> 00:25:29,159 Speaker 2: If they are in fact a news organization, they pretend 482 00:25:29,160 --> 00:25:29,600 Speaker 2: they are. 483 00:25:29,640 --> 00:25:30,760 Speaker 1: Fire somebody immediately. 484 00:25:31,040 --> 00:25:33,760 Speaker 2: Their job is to report the news and report facts. 485 00:25:33,840 --> 00:25:36,399 Speaker 2: Not only were they not reporting facts, they were lying 486 00:25:36,560 --> 00:25:40,480 Speaker 2: to their viewers. They were creating a fabricated and false 487 00:25:40,600 --> 00:25:45,080 Speaker 2: image to change the facts to fit their political narrative. 488 00:25:45,119 --> 00:25:50,760 Speaker 2: And any journalistic outfit with any integrity would fire whoever 489 00:25:50,920 --> 00:25:54,320 Speaker 2: was responsible would go on air and apologize and say 490 00:25:54,400 --> 00:25:58,120 Speaker 2: we violated our integrity. The fact that MSNBC doesn't think 491 00:25:58,160 --> 00:26:01,640 Speaker 2: they need to shows just how much the corporate media. 492 00:26:02,040 --> 00:26:06,000 Speaker 2: They are political liars. They are not even attempting or 493 00:26:06,040 --> 00:26:07,320 Speaker 2: pretending to be journalists. 494 00:26:07,800 --> 00:26:11,120 Speaker 1: As always, thank you for listening to Verdict with Sentater, 495 00:26:11,200 --> 00:26:13,640 Speaker 1: Ted Cruz, Ben Ferguson with you don't forget to deal 496 00:26:13,720 --> 00:26:15,960 Speaker 1: with my podcast and you can listen to my podcasts 497 00:26:15,960 --> 00:26:17,920 Speaker 1: every other day you're not listening to Verdict or each 498 00:26:18,000 --> 00:26:20,439 Speaker 1: day when you listen to Verdict. Afterwards, I'd love to 499 00:26:20,480 --> 00:26:23,000 Speaker 1: have you as a listener to again the Ben Ferguson 500 00:26:23,080 --> 00:26:26,080 Speaker 1: podcasts and we will see you back here on Monday morning.