1 00:00:11,800 --> 00:00:13,320 Speaker 1: Hey everybody, I'm David Zierr. 2 00:00:13,360 --> 00:00:17,239 Speaker 2: You're watching Breaking Point on Real America's Voice News. Thank 3 00:00:17,280 --> 00:00:19,320 Speaker 2: you for taking the time out and joining us. Thank 4 00:00:19,360 --> 00:00:22,840 Speaker 2: you for joining the RAV family. Get on the chat. 5 00:00:22,920 --> 00:00:26,000 Speaker 2: You can watch us on Facebook. Get on Getter the 6 00:00:26,040 --> 00:00:29,440 Speaker 2: Getter Chat. Go to at Real am Voice and participate 7 00:00:29,480 --> 00:00:33,559 Speaker 2: in the conversation. We got a great following a Breaking 8 00:00:33,600 --> 00:00:37,800 Speaker 2: Point on there every Saturday, so I wanted to start 9 00:00:37,840 --> 00:00:41,159 Speaker 2: off by just talking about this double standard. 10 00:00:41,240 --> 00:00:43,680 Speaker 1: Everyone freaking out about the stock market. 11 00:00:43,840 --> 00:00:46,640 Speaker 2: You know, nobody cared when the stock market went down 12 00:00:46,680 --> 00:00:49,360 Speaker 2: to like twenty eight twenty nine thousand under Biden. I 13 00:00:49,400 --> 00:00:51,440 Speaker 2: think from my thirty four to thirty five if I 14 00:00:51,479 --> 00:00:55,080 Speaker 2: remember correctly, my numbers might be off. But you know, 15 00:00:55,400 --> 00:00:59,600 Speaker 2: the Democratic Party, you're talking like a twenty one percent 16 00:00:59,640 --> 00:01:01,400 Speaker 2: approof rate, So. 17 00:01:01,360 --> 00:01:04,560 Speaker 1: They're trying to find some traction. They may have found a. 18 00:01:04,480 --> 00:01:07,320 Speaker 2: Little bit with the Wisconsin Supreme Court victory, thinking they 19 00:01:07,319 --> 00:01:10,000 Speaker 2: can take back seats, but the Blue states are going 20 00:01:10,040 --> 00:01:12,679 Speaker 2: to lose seats in the next few years as well. 21 00:01:13,240 --> 00:01:16,080 Speaker 2: California probably lose three by twenty thirty. New York will 22 00:01:16,120 --> 00:01:20,160 Speaker 2: probably lose two. There's an exodus going on other Blue states. 23 00:01:20,280 --> 00:01:25,160 Speaker 2: Red states are gaining places like Utah, Wyoming, Texas, Florida. 24 00:01:26,319 --> 00:01:30,920 Speaker 2: So it's just fun to watch them having the meltdown 25 00:01:30,920 --> 00:01:35,319 Speaker 2: and Corey Booker saying the most outrageous, stupid, and untrue 26 00:01:35,400 --> 00:01:38,160 Speaker 2: things in his twenty five hour thing, but it became 27 00:01:38,200 --> 00:01:41,080 Speaker 2: a rallying cry. He's more popular than Chuck Schumer right now. 28 00:01:43,160 --> 00:01:45,800 Speaker 2: But I think Corey book is way worse than Schumer, 29 00:01:45,840 --> 00:01:49,480 Speaker 2: if you can imagine that. But they're, you know, getting 30 00:01:49,520 --> 00:01:52,720 Speaker 2: behind him. They're trying to get some legs here. They're 31 00:01:52,720 --> 00:01:55,960 Speaker 2: capitalizing on the top of the stock market adjustments and 32 00:01:56,040 --> 00:02:00,960 Speaker 2: the tariff panic, and you know, they're making us look 33 00:02:00,960 --> 00:02:03,440 Speaker 2: bad on the international stage with Canada thanks to the 34 00:02:03,520 --> 00:02:05,120 Speaker 2: rhinos in the US Senate. 35 00:02:06,360 --> 00:02:07,200 Speaker 1: But I don't think. 36 00:02:07,160 --> 00:02:10,519 Speaker 2: The hard work in American small business owners and yeah, 37 00:02:10,600 --> 00:02:13,800 Speaker 2: laborers agree with that. I think they like what Trump 38 00:02:13,840 --> 00:02:16,080 Speaker 2: and Musk is doing. And I got a great show 39 00:02:16,120 --> 00:02:18,799 Speaker 2: for you today. I got TESLA protest interviews I did 40 00:02:18,880 --> 00:02:22,320 Speaker 2: last week, one really friendly guy, two people that were 41 00:02:22,360 --> 00:02:24,680 Speaker 2: just out of their mind, but they don't even know 42 00:02:24,720 --> 00:02:27,200 Speaker 2: why they're protesting out there. But I want to welcome 43 00:02:27,280 --> 00:02:32,359 Speaker 2: our first guest, Adam Weiss AMWPR. He's the host of 44 00:02:32,480 --> 00:02:36,480 Speaker 2: Media Exposed on Real America's Voice. A good friend of mine. 45 00:02:36,520 --> 00:02:39,240 Speaker 2: We've been doing business together since we're in the early twenties. 46 00:02:39,400 --> 00:02:40,720 Speaker 2: Adam Weiss, how you doing. 47 00:02:41,639 --> 00:02:43,640 Speaker 3: Hey, thanks for having me, David, thank you. 48 00:02:44,040 --> 00:02:47,240 Speaker 2: Yeah, it's great to have you on and for our 49 00:02:47,280 --> 00:02:50,880 Speaker 2: audience out there. If you don't know, Adam is plugged in. 50 00:02:51,160 --> 00:02:56,040 Speaker 2: He's represented everybody from Kim Gilfoyle to Don Junior, Judge 51 00:02:56,080 --> 00:02:59,240 Speaker 2: Janine for many many years. You know, he's been in 52 00:02:59,280 --> 00:03:02,359 Speaker 2: the game what's going on, and we always look to 53 00:03:02,440 --> 00:03:03,639 Speaker 2: him for like. 54 00:03:03,639 --> 00:03:06,080 Speaker 1: The pulse because you're everywhere, you are all these. 55 00:03:06,000 --> 00:03:11,040 Speaker 2: Events and it's exciting, and you know, I wanted to 56 00:03:11,160 --> 00:03:16,240 Speaker 2: like cover a couple of topics with you, and tomorrow 57 00:03:16,320 --> 00:03:19,760 Speaker 2: Night Media Exposed, I'll be on there in your first block. 58 00:03:20,560 --> 00:03:23,440 Speaker 1: It airs six pm Eastern Time for audience. 59 00:03:24,440 --> 00:03:26,079 Speaker 2: You're going to touch on a lot of things, right, 60 00:03:26,240 --> 00:03:29,520 Speaker 2: PBS and NPR, let's start there. Let's touch on that 61 00:03:29,600 --> 00:03:32,520 Speaker 2: for a second. They say they're not government funded, but 62 00:03:32,639 --> 00:03:33,480 Speaker 2: they really are. 63 00:03:34,000 --> 00:03:35,640 Speaker 1: And now, so what do you got. 64 00:03:35,840 --> 00:03:38,120 Speaker 4: Well, they pay the affiliates a lot of money to 65 00:03:38,200 --> 00:03:42,360 Speaker 4: run their stuff, So that's paying out of taxpayer's dollars 66 00:03:42,440 --> 00:03:46,480 Speaker 4: USAID money. So they're totally funded and they've been a 67 00:03:46,560 --> 00:03:50,280 Speaker 4: radical part of the democratic elite establishment. So the group 68 00:03:50,360 --> 00:03:54,440 Speaker 4: think that we see out of Washington, which is liberal orthodoxy, 69 00:03:54,600 --> 00:03:57,320 Speaker 4: they're part of right. And then I'll sure if you 70 00:03:57,320 --> 00:03:59,240 Speaker 4: have to watch, I'll show you a clip who they interview, 71 00:03:59,280 --> 00:04:01,839 Speaker 4: which is one of the most radical groups out there, 72 00:04:01,840 --> 00:04:04,600 Speaker 4: who goes after and wants to destroy conservatives as part 73 00:04:04,640 --> 00:04:06,520 Speaker 4: of the big cancel closure we always talk about. 74 00:04:06,760 --> 00:04:07,800 Speaker 3: So we're going to cover that. 75 00:04:08,560 --> 00:04:12,160 Speaker 4: And we also covered Gavid Newsom, right, so he's you know, 76 00:04:12,360 --> 00:04:14,680 Speaker 4: he's making ways lately, he's on Bill Maher and he 77 00:04:14,800 --> 00:04:18,840 Speaker 4: was also Creative podcast. But is he really found the 78 00:04:18,920 --> 00:04:21,560 Speaker 4: change of heart or it's just a political ploys. 79 00:04:21,800 --> 00:04:23,200 Speaker 3: You know, that's a big question. 80 00:04:23,320 --> 00:04:25,159 Speaker 2: And we're going to talk about, you know, does Kim 81 00:04:25,200 --> 00:04:27,320 Speaker 2: Gilfoyle have a role in that her ex wife, his 82 00:04:27,400 --> 00:04:29,520 Speaker 2: ex wife and you know, trying. 83 00:04:29,279 --> 00:04:32,880 Speaker 3: To maybe she might have been his booking agent, right. 84 00:04:33,800 --> 00:04:36,400 Speaker 2: Well, he got back, she got maybe she made did 85 00:04:36,440 --> 00:04:38,479 Speaker 2: she get Bannon and Kirk on his show? You know, 86 00:04:38,600 --> 00:04:41,080 Speaker 2: I don't know the real story behind that, but our 87 00:04:41,120 --> 00:04:44,120 Speaker 2: audience I would love to hear about you know, all 88 00:04:44,160 --> 00:04:47,880 Speaker 2: that tomorrow night. Also, you're going to talk about Bill Maher. 89 00:04:48,680 --> 00:04:51,160 Speaker 2: He had dinner with the president, and I know some 90 00:04:51,200 --> 00:04:53,400 Speaker 2: of those details are going to come out, Bill Maher 91 00:04:53,440 --> 00:04:57,080 Speaker 2: said on Real Time with Bill Maher on April eleventh, He's. 92 00:04:56,880 --> 00:04:58,800 Speaker 1: Going to share how it went. You have any inside 93 00:04:58,800 --> 00:04:59,440 Speaker 1: track on that. 94 00:05:00,320 --> 00:05:04,240 Speaker 4: What I heard from Kid Rock and other people, circle 95 00:05:04,360 --> 00:05:05,039 Speaker 4: went really well. 96 00:05:05,080 --> 00:05:07,039 Speaker 3: They got along. I mean, I wouldn't know why. 97 00:05:07,560 --> 00:05:09,599 Speaker 4: I used to run in some circles with Bill Maher. 98 00:05:10,360 --> 00:05:13,640 Speaker 4: Some of the women he dated, we're young, beautiful women. 99 00:05:13,680 --> 00:05:14,799 Speaker 3: He looked. 100 00:05:15,040 --> 00:05:16,960 Speaker 4: He was big in the New York scene a little bit, 101 00:05:17,000 --> 00:05:18,560 Speaker 4: so I ran in circles. He was a New York 102 00:05:18,600 --> 00:05:21,320 Speaker 4: figure and went to La figure and a New York figure. 103 00:05:21,960 --> 00:05:25,000 Speaker 4: So I don't see why they wouldn't get along. Trump's 104 00:05:25,080 --> 00:05:27,080 Speaker 4: very personal, Mar is very personal. 105 00:05:27,640 --> 00:05:28,400 Speaker 3: You know, both. 106 00:05:28,160 --> 00:05:32,279 Speaker 4: Around the same close to the same generation. So you know, 107 00:05:33,279 --> 00:05:36,159 Speaker 4: mar has been in the bubble, which is Hollywood and 108 00:05:36,240 --> 00:05:39,480 Speaker 4: the media and the you know, legacy media and legacy 109 00:05:39,480 --> 00:05:40,400 Speaker 4: culture in Hollywood. 110 00:05:40,760 --> 00:05:42,960 Speaker 3: So maybe he'll give a second chance and open up 111 00:05:43,000 --> 00:05:45,200 Speaker 3: to Trump and we'll see a new type of Bill Maher. 112 00:05:45,279 --> 00:05:50,520 Speaker 4: Hopefully he's been opened himself up a lot because he's 113 00:05:50,520 --> 00:05:52,239 Speaker 4: been hit by you know, the mob. 114 00:05:52,320 --> 00:05:54,560 Speaker 3: A little bit for you know, well. 115 00:05:54,320 --> 00:05:56,839 Speaker 2: Opening up, he's telling the truth in some ways, right 116 00:05:56,920 --> 00:06:01,520 Speaker 2: saying the Democrat parties like you're in trouble. And we're 117 00:06:01,560 --> 00:06:04,839 Speaker 2: going to follow that closely. Two or three other quick 118 00:06:04,880 --> 00:06:09,120 Speaker 2: topics right now. I want to just get to the 119 00:06:09,120 --> 00:06:11,840 Speaker 2: White House correspondence dinner. I know you go to it. 120 00:06:12,360 --> 00:06:15,480 Speaker 2: You've been there in the past. Tell us about Amber Ruffin. 121 00:06:16,400 --> 00:06:19,560 Speaker 4: I've been there probably ten decade or ten times, maybe more. 122 00:06:20,120 --> 00:06:23,200 Speaker 4: It was this great little fact they called the dirt 123 00:06:23,240 --> 00:06:25,840 Speaker 4: prompt and all the big media estylage, we can get together. 124 00:06:25,880 --> 00:06:28,520 Speaker 3: They have a dinner some side parties after parties. 125 00:06:28,920 --> 00:06:32,520 Speaker 4: It's where Trump was criticized by Seth Myers was the 126 00:06:33,080 --> 00:06:36,200 Speaker 4: comedian at that time, and Brock and he was and 127 00:06:36,600 --> 00:06:39,520 Speaker 4: Trump wasn't that political, but he was always divided to 128 00:06:39,520 --> 00:06:42,520 Speaker 4: the dinner because a celebrity, and Barack Obama got up 129 00:06:42,560 --> 00:06:44,440 Speaker 4: and gave him five or six jokes in a row. 130 00:06:44,440 --> 00:06:46,719 Speaker 4: And I was in the audience said, wow, why is 131 00:06:46,720 --> 00:06:49,400 Speaker 4: the president of the United States going after a citizen, 132 00:06:49,480 --> 00:06:50,960 Speaker 4: an American citizen so hard? 133 00:06:51,400 --> 00:06:53,440 Speaker 3: That kind of been the start of Trump. That could 134 00:06:53,480 --> 00:06:55,200 Speaker 3: have been the start of Trump's revenge tour. 135 00:06:55,520 --> 00:06:58,000 Speaker 4: Revenge back then watching that because he didn't smile, it 136 00:06:58,040 --> 00:07:00,800 Speaker 4: didn't laugh. But this year they had Amber. I never 137 00:07:00,800 --> 00:07:03,799 Speaker 4: heard of her, found out she's a woke DEI hire 138 00:07:04,120 --> 00:07:07,400 Speaker 4: black female. I think she's a you know, lesbian comedian. 139 00:07:07,480 --> 00:07:10,240 Speaker 4: I'm not pretty sure lesbian, not one hundred percent sure. 140 00:07:10,720 --> 00:07:16,680 Speaker 4: But one of these radical anti rape Trump, anti calling Trump, Nazis, 141 00:07:16,720 --> 00:07:20,120 Speaker 4: calling the Republicans all sorts of names. And she was 142 00:07:20,160 --> 00:07:23,840 Speaker 4: doing it while promoting this show, while promoting her you know, 143 00:07:23,920 --> 00:07:26,800 Speaker 4: appearance before the White House Correspondents. Then so the White 144 00:07:26,800 --> 00:07:31,080 Speaker 4: House Correspondent President Association, who's an African American himself, fired her. 145 00:07:31,200 --> 00:07:34,520 Speaker 4: So they said nope, and instead of saying, we're going 146 00:07:34,560 --> 00:07:36,840 Speaker 4: to go find someone who's moderate out there, and Andrew 147 00:07:36,880 --> 00:07:40,680 Speaker 4: Sltz or Theo Vaughn or some other Jim kaffickin some 148 00:07:40,720 --> 00:07:43,240 Speaker 4: other someone who could be right down the middle. 149 00:07:43,320 --> 00:07:45,880 Speaker 3: Because let's face it, David, there's a lot of material 150 00:07:45,920 --> 00:07:46,400 Speaker 3: to work with. 151 00:07:46,560 --> 00:07:52,840 Speaker 4: Biden, Kamala, Jasmin Crockett, Chuck Schumer, you can't tell you 152 00:07:52,920 --> 00:07:55,000 Speaker 4: can't tell me there's not material there, right. 153 00:07:55,280 --> 00:07:57,440 Speaker 1: NPR, PBS go on and on. 154 00:07:58,360 --> 00:08:00,800 Speaker 4: I mean, Jasmine Crockett, you can look at Instagram and 155 00:08:00,840 --> 00:08:02,960 Speaker 4: you could just laugh without even talking about it. 156 00:08:03,280 --> 00:08:04,320 Speaker 1: That's funny. 157 00:08:04,720 --> 00:08:07,320 Speaker 2: Well, h okay. I wanted to touch on one last 158 00:08:07,360 --> 00:08:11,760 Speaker 2: topic here. Mayor Adams, New York City mayor race coming up, 159 00:08:12,280 --> 00:08:15,360 Speaker 2: gets cleared of all the charges he was under indictment. Right, 160 00:08:16,080 --> 00:08:18,960 Speaker 2: he left the Democrats, not going to participate in the 161 00:08:18,960 --> 00:08:21,280 Speaker 2: primer because he knows he can't beat He knows he 162 00:08:21,320 --> 00:08:23,320 Speaker 2: can't beat former Governor Andrew Cuomo. 163 00:08:23,560 --> 00:08:25,960 Speaker 1: He's going to run as an independent. Doesn't that open 164 00:08:26,000 --> 00:08:31,400 Speaker 1: the door for Curtis Sliwa to win that election? He's 165 00:08:31,440 --> 00:08:32,480 Speaker 1: going to break them. 166 00:08:32,840 --> 00:08:35,080 Speaker 4: So how much of a base Adams has left as 167 00:08:35,120 --> 00:08:36,400 Speaker 4: in the Democratic Party. 168 00:08:36,760 --> 00:08:38,240 Speaker 3: I'd love to see the first polls. 169 00:08:38,240 --> 00:08:40,520 Speaker 4: It is because he just he I believes early he 170 00:08:40,559 --> 00:08:42,760 Speaker 4: made it towards the latter part of the week that 171 00:08:42,800 --> 00:08:44,880 Speaker 4: he dropped out, So we've got to see what the 172 00:08:44,880 --> 00:08:47,559 Speaker 4: polls look like. I don't think Sliwa, I don't think 173 00:08:47,559 --> 00:08:48,800 Speaker 4: if Adams has. 174 00:08:48,679 --> 00:08:50,600 Speaker 3: The dream of running as a Republican or he's going 175 00:08:50,640 --> 00:08:51,199 Speaker 3: to run as an. 176 00:08:51,120 --> 00:08:56,360 Speaker 4: Independent independents Foremo has a big name still, I don't 177 00:08:56,400 --> 00:08:58,920 Speaker 4: you know. We don't like Cuomo's policies, but he was 178 00:08:59,040 --> 00:09:03,160 Speaker 4: chased out of office for stupidity because the liberal Democrats, 179 00:09:03,160 --> 00:09:08,160 Speaker 4: the media fall for such bs ow. Somebody I kissed 180 00:09:08,160 --> 00:09:10,480 Speaker 4: a colleague of mine gave her in a cheek ten 181 00:09:10,760 --> 00:09:13,400 Speaker 4: eight years ago at a wedding. I think he touched 182 00:09:13,440 --> 00:09:16,400 Speaker 4: me on the side of my you know, he touched 183 00:09:16,400 --> 00:09:17,720 Speaker 4: me on the shoulders a little hard. 184 00:09:17,720 --> 00:09:20,760 Speaker 3: It was like such nonsense. They threw him out of office. 185 00:09:20,880 --> 00:09:21,559 Speaker 1: Left. 186 00:09:22,040 --> 00:09:24,760 Speaker 2: You're right, the lay turned on Cuomo. But you know 187 00:09:25,080 --> 00:09:27,680 Speaker 2: he did. You know, maybe because the death of fifteen 188 00:09:27,720 --> 00:09:30,319 Speaker 2: thousand seniors in our nursing homes. But the left doesn't 189 00:09:30,320 --> 00:09:32,000 Speaker 2: care about that. But yes, the left. 190 00:09:33,160 --> 00:09:35,360 Speaker 4: You imagine they didn't go after him on that, but 191 00:09:35,440 --> 00:09:39,240 Speaker 4: they His demise was these women saying that he kissed 192 00:09:39,280 --> 00:09:41,559 Speaker 4: him on the cheek, and he touched him on the back, 193 00:09:41,640 --> 00:09:45,160 Speaker 4: and he made him feel uncomfortable. So I said, when 194 00:09:45,160 --> 00:09:47,480 Speaker 4: I saw Cuoma in the summer this past summer, I said, 195 00:09:47,480 --> 00:09:50,680 Speaker 4: it was a ridiculous. Well, your party created to throw 196 00:09:50,720 --> 00:09:52,920 Speaker 4: you at the office that he says. I agree, my 197 00:09:53,000 --> 00:09:55,719 Speaker 4: party's going way too far to the left. Yeah, well 198 00:09:56,600 --> 00:09:57,480 Speaker 4: who told me that? 199 00:09:58,160 --> 00:09:58,439 Speaker 1: Yeah? 200 00:09:58,520 --> 00:10:00,800 Speaker 2: Yeah, well, I got to tell you. It's a real 201 00:10:00,840 --> 00:10:02,760 Speaker 2: long shot for Curtis to win, but he is the 202 00:10:02,800 --> 00:10:04,360 Speaker 2: heart and soul in New York. I think you would 203 00:10:04,360 --> 00:10:07,240 Speaker 2: definitely clean up the streets, all right. I want to 204 00:10:07,240 --> 00:10:11,720 Speaker 2: thank you for joining us. Tomorrow night Media Exposed with 205 00:10:11,760 --> 00:10:15,720 Speaker 2: Adam Weiss six pm Eastern Time on Real America's Voice 206 00:10:15,800 --> 00:10:17,120 Speaker 2: News Sunday Night. 207 00:10:17,480 --> 00:10:19,040 Speaker 1: Don't miss it, right Adam. 208 00:10:19,679 --> 00:10:21,960 Speaker 3: And then I think I'll see you tomorrow night in 209 00:10:22,360 --> 00:10:23,040 Speaker 3: Palm Beach too. 210 00:10:23,080 --> 00:10:25,960 Speaker 2: Thanks David, Thank you so much for joining us, and 211 00:10:26,520 --> 00:10:29,360 Speaker 2: look forward to seeing you. Thank you everybody. We'll be 212 00:10:29,440 --> 00:10:32,760 Speaker 2: right back. I got great interviews from the Tesla protests 213 00:10:33,440 --> 00:10:38,280 Speaker 2: that took place like globally last weekend here on Long Island. 214 00:10:38,320 --> 00:10:41,040 Speaker 2: I filmed some protesters. They don't even know why they're there, 215 00:10:41,880 --> 00:10:43,920 Speaker 2: and some of them might have been paid. But I 216 00:10:43,960 --> 00:10:47,320 Speaker 2: did interview one nice guy. But check it out. Don't 217 00:10:47,360 --> 00:10:49,960 Speaker 2: go anywhere. I got a great show ahead, including Corey Bowman, 218 00:10:50,640 --> 00:10:53,920 Speaker 2: Jade Vance's half brother, running from Mayor of Cincinnati. As 219 00:10:53,960 --> 00:10:56,640 Speaker 2: countries around the world move away from the US dollar, 220 00:10:56,920 --> 00:10:59,800 Speaker 2: get gold today. 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I've got Corey 240 00:12:18,360 --> 00:12:19,960 Speaker 1: Bowman on JD. 241 00:12:20,080 --> 00:12:22,520 Speaker 2: Vance's half brother, running from Mayor of Cincinnati in a 242 00:12:22,559 --> 00:12:26,120 Speaker 2: little while. Then I got Ed Bartlett, the founder of Save, 243 00:12:26,280 --> 00:12:30,719 Speaker 2: an organization focus on fairness and due process on college campuses. 244 00:12:30,720 --> 00:12:33,840 Speaker 1: A lot of hot issues going on, so don't go anywhere. 245 00:12:33,920 --> 00:12:39,760 Speaker 2: But first I was at the Tesla protest, the global 246 00:12:39,840 --> 00:12:40,840 Speaker 2: Day of protests. 247 00:12:41,240 --> 00:12:44,480 Speaker 1: Everybody wants to crucify Elon Musk. But nine months ago. 248 00:12:44,800 --> 00:12:50,920 Speaker 2: They loved a loon Musk, right, So I wanted to 249 00:12:51,160 --> 00:12:57,600 Speaker 2: start by throwing to these interviews I did with two protesters. 250 00:12:58,280 --> 00:13:00,760 Speaker 2: I'm not really sure if they know why they're there. 251 00:13:00,800 --> 00:13:03,360 Speaker 2: Maybe this second protest video I'm going to show you 252 00:13:03,400 --> 00:13:05,960 Speaker 2: they were paid to be there. I can't prove that 253 00:13:06,000 --> 00:13:08,880 Speaker 2: they were paid to be there, but they kind of 254 00:13:08,960 --> 00:13:12,840 Speaker 2: contradict themselves, and they don't really have a lot of information, 255 00:13:13,280 --> 00:13:14,439 Speaker 2: So why don't we check these out? 256 00:13:14,480 --> 00:13:34,840 Speaker 1: Though, to say the least, it was fun. I value 257 00:13:34,880 --> 00:13:36,040 Speaker 1: my social security. 258 00:13:36,120 --> 00:13:38,480 Speaker 5: I also value. 259 00:13:38,559 --> 00:13:43,160 Speaker 1: Okay, what your social security wasn't cut? Why social security 260 00:13:43,240 --> 00:13:46,840 Speaker 1: wasn't cut being cut back? Right? What happened? 261 00:13:46,920 --> 00:13:52,360 Speaker 2: So don't they want to get rid of the bureaucracy? 262 00:13:52,400 --> 00:13:54,319 Speaker 2: Can you name one person in the United States who 263 00:13:54,280 --> 00:13:55,520 Speaker 2: lost Social Security benefits? 264 00:13:55,520 --> 00:13:58,160 Speaker 1: On dary Elon Musk? Will you take it? I'm just 265 00:13:58,160 --> 00:14:00,000 Speaker 1: getting your opinion. I'm getting your opinion. 266 00:14:01,240 --> 00:14:04,760 Speaker 2: Hey guys, why did you guys come out today? You 267 00:14:04,800 --> 00:14:07,760 Speaker 2: don't want to come on, but you're protesting in public, 268 00:14:07,800 --> 00:14:09,200 Speaker 2: so you don't want to show your face, but you'll 269 00:14:09,200 --> 00:14:11,720 Speaker 2: show your face to the fifty five thousand cars an 270 00:14:11,720 --> 00:14:13,880 Speaker 2: hour that are passing on the street here. 271 00:14:15,240 --> 00:14:16,240 Speaker 1: That doesn't make sense. 272 00:14:16,520 --> 00:14:19,080 Speaker 2: I was just well, I was just wondering why it's 273 00:14:19,120 --> 00:14:22,120 Speaker 2: so important to come out. So what are you protesting? 274 00:14:23,720 --> 00:14:27,240 Speaker 2: What are you protesting? You don't want to cut government waste? 275 00:14:27,320 --> 00:14:30,680 Speaker 1: I don't get that one. What's wrong with cutting government waste? 276 00:14:31,520 --> 00:14:34,040 Speaker 2: It's amazing you don't want to come on camera, but 277 00:14:34,160 --> 00:14:37,200 Speaker 2: you're out here in public, on the street in suff County, 278 00:14:37,240 --> 00:14:37,840 Speaker 2: Long Island. 279 00:14:38,560 --> 00:14:42,200 Speaker 1: That shows a bit of cowardice. Good luck with everything, guys. 280 00:14:43,040 --> 00:14:46,880 Speaker 2: A lot of the protesters there were belligerent, cursing at me, 281 00:14:48,000 --> 00:14:50,720 Speaker 2: A lot of foul mouths going on because they get 282 00:14:50,760 --> 00:14:52,920 Speaker 2: frustrated when they can't answer the question. And I was 283 00:14:53,000 --> 00:14:56,480 Speaker 2: kind of peppering them with questions. But I did meet 284 00:14:56,520 --> 00:14:59,320 Speaker 2: one really friendly guy. Now this is a five minute interview, 285 00:15:00,280 --> 00:15:03,480 Speaker 2: but really nice guy. And it's nice to engage in 286 00:15:03,520 --> 00:15:05,680 Speaker 2: some civil dialogue. 287 00:15:05,760 --> 00:15:07,240 Speaker 1: So check this out. 288 00:15:07,520 --> 00:15:09,960 Speaker 2: I'm what real America's Voice news. I'm just getting both 289 00:15:10,000 --> 00:15:12,880 Speaker 2: sides opinions out here today. Why was it important for 290 00:15:12,920 --> 00:15:15,119 Speaker 2: you to come out to the test the dealship? 291 00:15:15,320 --> 00:15:17,440 Speaker 1: You don't like what you see, well. 292 00:15:17,320 --> 00:15:19,760 Speaker 6: I don't like what Musk is doing breaking down the 293 00:15:19,800 --> 00:15:25,200 Speaker 6: government taking a chainsaw it to it. There's better ways 294 00:15:25,240 --> 00:15:26,560 Speaker 6: to find waste and fraud. 295 00:15:28,040 --> 00:15:29,400 Speaker 1: How they haven't before? 296 00:15:29,600 --> 00:15:34,680 Speaker 6: How they have they didn't? It was administration they balanced 297 00:15:34,720 --> 00:15:38,120 Speaker 6: the budget that was two thousand. 298 00:15:38,640 --> 00:15:41,440 Speaker 2: It was the Republican Congress who pressured Clinton to balance 299 00:15:41,480 --> 00:15:42,680 Speaker 2: the budget by two thousands. 300 00:15:42,760 --> 00:15:44,040 Speaker 1: Done. Yeah, you know again. 301 00:15:44,080 --> 00:15:46,400 Speaker 2: But now we have thirty seven trillion in debt. How 302 00:15:46,400 --> 00:15:47,200 Speaker 2: do you bring it down? 303 00:15:47,920 --> 00:15:49,640 Speaker 1: I don't know how you bring it down? So why 304 00:15:49,680 --> 00:15:52,960 Speaker 1: wouldn't you cut federal jobs? Bill Clinton? Cut federal jobs. 305 00:15:52,960 --> 00:15:56,760 Speaker 6: You can't be just breaking everything down, cutting people? 306 00:15:57,080 --> 00:16:01,040 Speaker 2: What any probationary workers? Firing probationary because you catch that. 307 00:16:02,560 --> 00:16:03,520 Speaker 1: What it really is. 308 00:16:03,920 --> 00:16:06,320 Speaker 6: But these are the workers that will come in and 309 00:16:06,440 --> 00:16:08,520 Speaker 6: fill in the next tier of work. 310 00:16:08,720 --> 00:16:10,920 Speaker 1: Why is it so important that government is so big? 311 00:16:10,960 --> 00:16:13,560 Speaker 1: And what about all that? You ask the question? 312 00:16:13,720 --> 00:16:17,960 Speaker 6: Sure, the government is there for the people, all right? 313 00:16:18,160 --> 00:16:20,720 Speaker 6: Who's to watch your clean air, your clean water? 314 00:16:20,880 --> 00:16:23,560 Speaker 1: Who's doing spoke? But they're not cutting? But they're not 315 00:16:23,600 --> 00:16:24,320 Speaker 1: cutting musk. 316 00:16:24,440 --> 00:16:27,320 Speaker 2: Isn't cutting any regulations? 317 00:16:27,360 --> 00:16:32,600 Speaker 1: Clean wasteful positions? What about let me keep going? No, 318 00:16:32,680 --> 00:16:34,480 Speaker 1: it's not a dialogue. If you keep you just want 319 00:16:34,520 --> 00:16:35,480 Speaker 1: to talk over me. 320 00:16:35,560 --> 00:16:36,480 Speaker 3: So what's that? 321 00:16:36,760 --> 00:16:39,640 Speaker 1: All right? You can take your hands off if you. 322 00:16:39,680 --> 00:16:45,360 Speaker 6: Keep going to machine gun me with cleshially like, there's 323 00:16:45,440 --> 00:16:46,080 Speaker 6: a lot of time. 324 00:16:46,120 --> 00:16:49,000 Speaker 2: I'm just wondering. You know what's so bad about cutting 325 00:16:49,000 --> 00:16:49,720 Speaker 2: federal waste? 326 00:16:50,240 --> 00:16:53,000 Speaker 7: There isn't anything going with cutting federal waste. 327 00:16:53,160 --> 00:16:54,280 Speaker 1: It's how you do it. 328 00:16:54,320 --> 00:16:56,880 Speaker 2: Okay, okay, Well maybe you guys can come up with 329 00:16:56,920 --> 00:16:59,840 Speaker 2: a better suggestion and we can save our country. Isn't 330 00:16:59,840 --> 00:17:01,920 Speaker 2: it important that we save a trillion or two a 331 00:17:02,000 --> 00:17:02,920 Speaker 2: year to cut the debt? 332 00:17:03,360 --> 00:17:05,480 Speaker 1: I don't know if that figure is is going to 333 00:17:05,520 --> 00:17:06,080 Speaker 1: be accurate. 334 00:17:06,160 --> 00:17:09,600 Speaker 7: I just don't know, because I do know the endgame is. 335 00:17:09,560 --> 00:17:15,119 Speaker 6: To give sure the opperation line of a tech along 336 00:17:15,200 --> 00:17:15,719 Speaker 6: with business. 337 00:17:15,760 --> 00:17:17,760 Speaker 2: So a year ago, what about all the teachers and 338 00:17:17,800 --> 00:17:20,720 Speaker 2: the public workers that are on the left who don't 339 00:17:20,800 --> 00:17:23,399 Speaker 2: like a lawn musk? Their pensions are in Tesla? Is 340 00:17:23,440 --> 00:17:26,320 Speaker 2: that right that the stock's being driven down? Look at 341 00:17:26,359 --> 00:17:28,960 Speaker 2: Minnesota state workers. 342 00:17:29,000 --> 00:17:31,400 Speaker 1: Well, all the pensions are investing in Tesla. 343 00:17:31,480 --> 00:17:33,640 Speaker 2: Well, yeah, I'm sure so they want to You want 344 00:17:33,640 --> 00:17:35,240 Speaker 2: to see that stock go down forty. 345 00:17:35,960 --> 00:17:37,760 Speaker 1: Well no, I don't want to see any stock going 346 00:17:38,320 --> 00:17:38,560 Speaker 1: What do. 347 00:17:38,480 --> 00:17:41,560 Speaker 2: You think about the terrorism against Tesla dealerships and people 348 00:17:41,640 --> 00:17:46,040 Speaker 2: keying cars and cocktail you don't support that. 349 00:17:46,080 --> 00:17:49,040 Speaker 1: Well that's good. What's your name, Jack? Hi Jack? Where 350 00:17:49,040 --> 00:17:49,440 Speaker 1: are you from. 351 00:17:49,440 --> 00:17:50,320 Speaker 7: I'm from Huntington. 352 00:17:50,560 --> 00:17:53,800 Speaker 1: Okay, well listen, this is our right to protest. 353 00:17:53,840 --> 00:17:56,400 Speaker 2: It's a right of assembly, that you know. And I'm 354 00:17:56,440 --> 00:17:58,200 Speaker 2: just trying to get both perspectives here. 355 00:17:58,400 --> 00:17:59,919 Speaker 1: I mean, let me just go on. 356 00:18:00,000 --> 00:18:02,760 Speaker 6: I mean say, you know, it is more to it 357 00:18:02,840 --> 00:18:06,720 Speaker 6: than just trying to save waste. How they're doing it 358 00:18:06,480 --> 00:18:07,520 Speaker 6: is wrong. 359 00:18:07,760 --> 00:18:08,160 Speaker 3: All right. 360 00:18:08,280 --> 00:18:11,840 Speaker 1: Again, we've already established that you don't think the federal 361 00:18:11,840 --> 00:18:15,240 Speaker 1: government's bloated. It could be, but from what you don't 362 00:18:15,280 --> 00:18:17,679 Speaker 1: think government is bloated over a private sector. 363 00:18:18,280 --> 00:18:20,560 Speaker 7: Private sector business is. 364 00:18:20,560 --> 00:18:22,680 Speaker 2: On tolerate waste, so they would go out of business. 365 00:18:23,119 --> 00:18:25,320 Speaker 2: What about the Post Office? They lose like what twelve 366 00:18:25,359 --> 00:18:26,120 Speaker 2: billion a years. 367 00:18:25,960 --> 00:18:29,440 Speaker 7: Or something like that organization is self funded. 368 00:18:29,520 --> 00:18:32,960 Speaker 1: Well yeah, self fund still really is still government centric. 369 00:18:33,040 --> 00:18:35,400 Speaker 1: But yeah, I got it again, that's your opinion. 370 00:18:37,480 --> 00:18:39,679 Speaker 6: Post office has been around for them in the beginning, 371 00:18:39,720 --> 00:18:40,800 Speaker 6: from the seventeen hundreds. 372 00:18:40,960 --> 00:18:44,000 Speaker 1: Yeah, so it's not very efficient. Well you may say, 373 00:18:44,000 --> 00:18:46,440 Speaker 1: so I still use letteratire. Yeah, you know, I still 374 00:18:46,480 --> 00:18:49,800 Speaker 1: sit up my metal. It takes like seven days yet 375 00:18:50,080 --> 00:18:53,040 Speaker 1: mail locally for me, but right down. 376 00:18:52,880 --> 00:18:56,800 Speaker 6: The government breaking down this system, so there's no representation. 377 00:18:57,400 --> 00:19:01,399 Speaker 2: He's exercising the power of the executive branch the federal government. 378 00:19:01,119 --> 00:19:03,919 Speaker 6: But it's not good like what he wants to be 379 00:19:04,560 --> 00:19:07,960 Speaker 6: to enforce the law. Look, that's the first step to tyranny, 380 00:19:08,480 --> 00:19:09,560 Speaker 6: is what you guys want. 381 00:19:09,640 --> 00:19:11,680 Speaker 1: You think this tyranny going on, I think they will 382 00:19:11,720 --> 00:19:13,119 Speaker 1: be if he goes for You. 383 00:19:13,080 --> 00:19:16,200 Speaker 2: Don't think before was tyranny when everybody had to stay 384 00:19:16,200 --> 00:19:19,200 Speaker 2: indoors for two or three years and kids were forced 385 00:19:19,200 --> 00:19:21,520 Speaker 2: to learn in dorm rooms for two years. People were 386 00:19:21,560 --> 00:19:24,840 Speaker 2: mandatory to get vacs who were government workers. You think 387 00:19:24,880 --> 00:19:27,600 Speaker 2: that's not tyranny. That wasn't tyranny. It was was a 388 00:19:27,680 --> 00:19:30,720 Speaker 2: tyranny when Cuomo. But we never fifteen thousand seniors in 389 00:19:30,760 --> 00:19:31,520 Speaker 2: the nursing office. 390 00:19:32,560 --> 00:19:35,320 Speaker 1: Yeah yeah, okay, wrong move. That was the wrong one. 391 00:19:35,320 --> 00:19:40,280 Speaker 1: It was the hospital. We never experienced COVID before, so 392 00:19:40,320 --> 00:19:41,240 Speaker 1: they were doing what. 393 00:19:41,280 --> 00:19:45,320 Speaker 6: Should have been done, isolating, wearing masks. 394 00:19:44,760 --> 00:19:47,440 Speaker 1: Especially, they were putting people on rendecip here. 395 00:19:48,359 --> 00:19:52,200 Speaker 2: What happened under the Biden administration got spying on churches 396 00:19:52,720 --> 00:19:55,840 Speaker 2: and other things like that, went rounding up people, having 397 00:19:56,000 --> 00:19:59,000 Speaker 2: weaponize the government. You don't think government was weaponized against 398 00:19:59,040 --> 00:20:03,720 Speaker 2: Donald Trump. Oh, I sat in the trial with Trump 399 00:20:03,720 --> 00:20:04,760 Speaker 2: in the city. 400 00:20:05,040 --> 00:20:07,320 Speaker 1: That was a Joe Cott's going on because dealing with 401 00:20:07,400 --> 00:20:08,800 Speaker 1: government sucks in my opinion. 402 00:20:09,000 --> 00:20:10,800 Speaker 2: Well, I want to thank you so much for coming 403 00:20:10,840 --> 00:20:12,480 Speaker 2: on and engaging in the dialogue. 404 00:20:12,680 --> 00:20:14,280 Speaker 1: Take care all right, have a good one. 405 00:20:14,840 --> 00:20:17,280 Speaker 2: Outside of that guy touched me, I asked him to 406 00:20:17,320 --> 00:20:21,800 Speaker 2: back off there. He was very, very nice, and you know, 407 00:20:22,440 --> 00:20:25,240 Speaker 2: I think he's uninformed a little, but it was nice 408 00:20:25,480 --> 00:20:29,760 Speaker 2: to engage for a change. Uh So, I want to 409 00:20:29,800 --> 00:20:32,840 Speaker 2: get to the pro Musk pro Trump crowd a little bit. 410 00:20:33,280 --> 00:20:38,120 Speaker 2: We outnumbered them the Tesla protesters by I would say 411 00:20:38,160 --> 00:20:41,840 Speaker 2: between five and ten to one at that protest. Big 412 00:20:41,880 --> 00:20:47,119 Speaker 2: America First movement here on Long Island. Check out Wendy Lee, Wendy. 413 00:20:46,800 --> 00:20:48,440 Speaker 1: Roger come out today, oh. 414 00:20:48,400 --> 00:20:52,120 Speaker 2: To support Elon and Tenor and ask people why they're 415 00:20:52,160 --> 00:20:56,600 Speaker 2: attacking their own people. Yeah, and the liberal's own pensions 416 00:20:57,000 --> 00:20:58,280 Speaker 2: invested in Tesla, right. 417 00:20:58,359 --> 00:21:02,560 Speaker 8: You know, the message was, oh, go electric, save the Earth, right, 418 00:21:02,920 --> 00:21:06,800 Speaker 8: and now they're attacking their own people because they hate Elion. 419 00:21:06,920 --> 00:21:10,359 Speaker 1: Nine months later, they all hate a lot must rights. Unbelievable. 420 00:21:10,400 --> 00:21:13,040 Speaker 1: Let's see what's going on. Those are the protests down there. 421 00:21:14,280 --> 00:21:15,800 Speaker 1: I'm gonna head over down there. 422 00:21:16,440 --> 00:21:19,520 Speaker 4: Okay, we're a number and here from the America person 423 00:21:19,840 --> 00:21:20,840 Speaker 4: about ten to one. 424 00:21:21,040 --> 00:21:23,040 Speaker 9: Yeah, I think so so much. 425 00:21:22,880 --> 00:21:26,360 Speaker 2: Going on in the news cycle. It is running at 426 00:21:26,480 --> 00:21:31,520 Speaker 2: light speed here, Happy Liberation Day right this week for 427 00:21:32,000 --> 00:21:36,840 Speaker 2: the United States, maybe getting back to some fairness on trade. 428 00:21:37,080 --> 00:21:39,640 Speaker 2: It's like, what's the big deal? At least this should 429 00:21:39,680 --> 00:21:44,480 Speaker 2: be reciprocity, right, So, and what Trump's doing as a 430 00:21:44,600 --> 00:21:49,280 Speaker 2: leverage tool with the tariffs. How many lives is he 431 00:21:49,320 --> 00:21:52,359 Speaker 2: going to save just at the border? And we're getting 432 00:21:52,400 --> 00:21:57,960 Speaker 2: reports this week that Mexico they're not bringing fent andel 433 00:21:58,000 --> 00:22:00,760 Speaker 2: into the United States like they were. Not only is 434 00:22:00,760 --> 00:22:04,400 Speaker 2: it closed, but they're being driven, you know, away from 435 00:22:04,440 --> 00:22:08,960 Speaker 2: doing that. And then China's investing in places like South 436 00:22:09,000 --> 00:22:12,600 Speaker 2: Africa to make fentanyl. Well, Trump get the credit. There 437 00:22:12,640 --> 00:22:15,040 Speaker 2: were one hundred thousand people a year dying from fentanyl. 438 00:22:15,119 --> 00:22:18,399 Speaker 2: Eight percent of the population in Manchester, New Hampshire overdosing 439 00:22:18,440 --> 00:22:19,000 Speaker 2: every year. 440 00:22:19,840 --> 00:22:23,440 Speaker 1: Are they Is Trump going to get credit for doing this? 441 00:22:24,160 --> 00:22:24,679 Speaker 1: Probably not? 442 00:22:25,800 --> 00:22:28,399 Speaker 2: You know what if he saves fifty thousand lives a 443 00:22:28,480 --> 00:22:32,320 Speaker 2: year by the time this is done or more or less, 444 00:22:33,680 --> 00:22:36,320 Speaker 2: that is just so exceptional, you know, you're talking about 445 00:22:36,359 --> 00:22:40,840 Speaker 2: more people dying in the Korean War and Vietnam War 446 00:22:41,400 --> 00:22:46,240 Speaker 2: every year in the United States from drugs. And what's 447 00:22:46,320 --> 00:22:50,240 Speaker 2: really crazy is, you know NPR and PBS they shouldn't 448 00:22:50,280 --> 00:22:54,160 Speaker 2: get government funding. Enough is enough because they haven't been 449 00:22:54,640 --> 00:22:58,000 Speaker 2: honest and like NPR saying, oh, we ably get one 450 00:22:58,000 --> 00:22:59,200 Speaker 2: percent from the federal government. 451 00:22:59,280 --> 00:23:00,160 Speaker 1: No, they get twenty three. 452 00:23:00,280 --> 00:23:03,560 Speaker 2: PBS gets thirty nine percent of their funding from government. 453 00:23:03,560 --> 00:23:06,040 Speaker 2: When you add it all up. Western Journal has a 454 00:23:06,040 --> 00:23:09,399 Speaker 2: great article on that. Look it up on PBS and NPR. 455 00:23:10,359 --> 00:23:11,640 Speaker 1: So when we. 456 00:23:11,640 --> 00:23:16,000 Speaker 2: Come back, I have Ed Bartlett with us from Save. 457 00:23:16,320 --> 00:23:18,480 Speaker 2: We're going to talk about these hot issues on our 458 00:23:18,480 --> 00:23:21,480 Speaker 2: college campuses and in the Department of Labor in the 459 00:23:21,600 --> 00:23:25,880 Speaker 2: United States discriminating against men. And also I have Corey 460 00:23:25,920 --> 00:23:28,639 Speaker 2: Bowman running from mayor of Cincinnati. He's the half brother 461 00:23:28,800 --> 00:23:29,440 Speaker 2: of JD. 462 00:23:29,600 --> 00:23:29,919 Speaker 1: Vance. 463 00:23:30,119 --> 00:23:33,000 Speaker 2: He's a lot of fun. Don't go anywhere. I want 464 00:23:33,040 --> 00:23:37,800 Speaker 2: to thank everybody for joining Breaking Point on Real America's 465 00:23:37,920 --> 00:23:38,600 Speaker 2: Voice News. 466 00:23:38,680 --> 00:23:42,240 Speaker 1: I'm David Zier and we will be right back with more. 467 00:23:42,640 --> 00:24:14,720 Speaker 1: Stay tuned. Hey, everybody, welcome back. 468 00:24:14,760 --> 00:24:18,119 Speaker 2: You're watching Breaking Point in Real America's Voice News. I 469 00:24:18,160 --> 00:24:22,159 Speaker 2: have a great guest with us right now, everybody. Ed 470 00:24:22,560 --> 00:24:26,680 Speaker 2: Bartlett from Save ED welcome to the show. 471 00:24:27,640 --> 00:24:29,000 Speaker 3: Hey David, great to see you. 472 00:24:29,480 --> 00:24:31,960 Speaker 2: It's great to have you. Great to see you again. 473 00:24:32,600 --> 00:24:35,720 Speaker 2: Tell us about SAVE what do you do save? 474 00:24:36,320 --> 00:24:38,879 Speaker 10: And originally we were focused just on due process on 475 00:24:38,960 --> 00:24:43,399 Speaker 10: college campuses because of all false allegations against men, but 476 00:24:43,880 --> 00:24:47,000 Speaker 10: we've brought in our scope to address the broader issues 477 00:24:47,040 --> 00:24:52,840 Speaker 10: affecting men, like shorter lifespans and discrimination in the workplace. 478 00:24:52,359 --> 00:24:53,200 Speaker 3: And on a ghost. 479 00:24:54,359 --> 00:24:57,440 Speaker 2: Wow, So you've been really busy. You got a lot 480 00:24:57,440 --> 00:25:00,680 Speaker 2: of issues going on here. One of them, Uh, tell 481 00:25:00,720 --> 00:25:04,280 Speaker 2: us about what's going on at George Washington University and 482 00:25:04,359 --> 00:25:09,360 Speaker 2: my son's alma mater with Mary Anne Franks. 483 00:25:09,359 --> 00:25:13,359 Speaker 10: Well, our good friend Mary Anne Franks. She's she's actually 484 00:25:13,359 --> 00:25:16,480 Speaker 10: a faculty member at George Washington University. 485 00:25:17,119 --> 00:25:17,359 Speaker 1: Uh. 486 00:25:17,520 --> 00:25:21,720 Speaker 10: She she the word radical does not adequately describe her. 487 00:25:22,480 --> 00:25:27,080 Speaker 10: She has openly called for women to exercise what she 488 00:25:27,160 --> 00:25:32,280 Speaker 10: calls quote justified violence against men, and she's also made 489 00:25:32,400 --> 00:25:36,200 Speaker 10: other really looney statements. She was she was a witness 490 00:25:36,320 --> 00:25:40,000 Speaker 10: in a hearing the Senate here in this past week, 491 00:25:41,040 --> 00:25:45,679 Speaker 10: and Senator John Kennedy took her to the cleaners because 492 00:25:45,720 --> 00:25:49,680 Speaker 10: he just went through all of her looney Twitter posts 493 00:25:49,720 --> 00:25:54,320 Speaker 10: over the years, and for every she he said, did 494 00:25:54,359 --> 00:25:57,080 Speaker 10: you really post this? And she had to say yes, 495 00:25:57,600 --> 00:26:00,359 Speaker 10: And at the end of the hearing she was a 496 00:26:00,400 --> 00:26:01,240 Speaker 10: total disgrace. 497 00:26:02,119 --> 00:26:06,520 Speaker 2: Right, so she's making extreme claims that a derogatory to men. 498 00:26:08,800 --> 00:26:10,200 Speaker 1: Tell us about Russian's. 499 00:26:09,880 --> 00:26:15,960 Speaker 10: Up to derogatory is saying it very nicely. She she 500 00:26:16,200 --> 00:26:20,000 Speaker 10: rans and remember she's a professor of law at one 501 00:26:20,040 --> 00:26:23,399 Speaker 10: of the you know, so called elite law schools at 502 00:26:23,520 --> 00:26:30,159 Speaker 10: at George Washing University. She rants about the patriarchy, the 503 00:26:30,240 --> 00:26:35,520 Speaker 10: racial patriarchy. I mean, I honestly, I've read a lot 504 00:26:35,520 --> 00:26:39,560 Speaker 10: of our writings by feminists. I've never read any writings 505 00:26:39,640 --> 00:26:44,119 Speaker 10: so so utterly ridiculous, a ludicrous. And again, this is 506 00:26:44,160 --> 00:26:48,199 Speaker 10: a law professor who's supposed to follow an ethical code 507 00:26:48,520 --> 00:26:50,800 Speaker 10: set up by George Washington University. 508 00:26:50,920 --> 00:26:53,359 Speaker 1: Now she playing a game. She pushing the limits of 509 00:26:53,400 --> 00:26:55,399 Speaker 1: free speech. So like, let me read some quotes. 510 00:26:55,760 --> 00:26:58,800 Speaker 2: When the Supreme Court declares that there is a constitutional 511 00:26:58,880 --> 00:27:02,960 Speaker 2: right to armed in public, it openly embraces and promotes 512 00:27:03,000 --> 00:27:06,120 Speaker 2: a culture that privileges white men's ability. 513 00:27:06,040 --> 00:27:09,640 Speaker 1: To terrorize and kill those they perceive as threats. 514 00:27:09,920 --> 00:27:13,960 Speaker 2: Then she says, by simultaneously expanding white men's right to 515 00:27:14,119 --> 00:27:18,200 Speaker 2: kill and constricting women's right not to doc This Supreme 516 00:27:18,240 --> 00:27:21,760 Speaker 2: Court has turned the Constitution into a homicide pact as well. 517 00:27:21,880 --> 00:27:24,640 Speaker 2: And to sum it up, she says, taken together, these 518 00:27:24,720 --> 00:27:28,120 Speaker 2: two cases demonstrate that the Supreme Court has embraced the 519 00:27:28,240 --> 00:27:32,280 Speaker 2: use of the Constitution as a tool of racial patriarchy. 520 00:27:33,640 --> 00:27:37,879 Speaker 10: Yeah. Yeah, it's kind of hard to respond to what 521 00:27:37,960 --> 00:27:41,760 Speaker 10: she says. She doesn't none of her writing is academic 522 00:27:42,000 --> 00:27:47,480 Speaker 10: or scientific or thoughtful. It's basically all a Marxist rant. 523 00:27:47,800 --> 00:27:51,600 Speaker 10: And you know, if this was a looney feminist out 524 00:27:51,640 --> 00:27:55,199 Speaker 10: in you know, Boondoggle Mississippi, we'd say, Okay, there they 525 00:27:55,240 --> 00:27:59,520 Speaker 10: go again. But no, she is teaching our future lawyers about, 526 00:27:59,560 --> 00:28:03,480 Speaker 10: you know, what the law means or what the Constitution says. 527 00:28:04,200 --> 00:28:07,240 Speaker 2: Yeah, well, she's accusing the Supreme Court and the Constitution 528 00:28:07,480 --> 00:28:12,480 Speaker 2: of uh, you know, supporting white male supremacy and all 529 00:28:12,480 --> 00:28:16,679 Speaker 2: this stuff. It's really a crazy So what are the 530 00:28:16,720 --> 00:28:18,200 Speaker 2: consequences going to be for her? 531 00:28:18,240 --> 00:28:21,680 Speaker 1: Is she going to face any censure or anything like that. 532 00:28:22,600 --> 00:28:26,240 Speaker 10: I mean, I've actually reviewed the Code of Conduct for 533 00:28:26,800 --> 00:28:30,840 Speaker 10: faculty at George Washington, and it basically says that that 534 00:28:31,280 --> 00:28:35,199 Speaker 10: all members of the GW community are expected to, you know, 535 00:28:35,280 --> 00:28:37,000 Speaker 10: promote tolerance and et. 536 00:28:36,960 --> 00:28:37,679 Speaker 3: Cetera, et cetera. 537 00:28:38,720 --> 00:28:41,960 Speaker 10: I mean, she it's kind of hard to pin it 538 00:28:42,080 --> 00:28:47,240 Speaker 10: down specifically to her, but we're urging people to contact 539 00:28:47,360 --> 00:28:51,120 Speaker 10: They actually have a place where you can register your 540 00:28:51,240 --> 00:28:55,120 Speaker 10: concerns about the ethical conduct or the lack thereof among 541 00:28:55,400 --> 00:28:58,880 Speaker 10: GW faculties. So we'd like to put some pressure on 542 00:28:59,040 --> 00:29:01,200 Speaker 10: to the GW dean and others. 543 00:29:01,440 --> 00:29:06,000 Speaker 2: Yeah, because there was some recourse about pro Palestinian comments 544 00:29:06,040 --> 00:29:10,920 Speaker 2: and other Ivy League institutions, right, they had presidents who've 545 00:29:10,920 --> 00:29:12,440 Speaker 2: had to step down, right. 546 00:29:13,240 --> 00:29:16,120 Speaker 10: They have, And I don't you know, we're not aware 547 00:29:16,160 --> 00:29:20,040 Speaker 10: that this particular faculty member has made anti submitted comments. 548 00:29:20,080 --> 00:29:20,680 Speaker 3: I don't want to. 549 00:29:21,080 --> 00:29:24,520 Speaker 1: No, I'm not been pairing right right, I'm just but the. 550 00:29:24,480 --> 00:29:26,600 Speaker 3: Point is that she really is off. 551 00:29:26,840 --> 00:29:30,840 Speaker 10: She's she's off on a looney streak, and she needs 552 00:29:30,840 --> 00:29:31,560 Speaker 10: to be reigned in. 553 00:29:32,120 --> 00:29:33,880 Speaker 3: So that's why we did this press release. 554 00:29:34,400 --> 00:29:37,880 Speaker 1: All right, So can we get into DOGE. 555 00:29:38,160 --> 00:29:41,800 Speaker 2: You're saying that DOGE must investigate neglect of men by 556 00:29:41,800 --> 00:29:43,360 Speaker 2: the US Department of Labor. 557 00:29:43,640 --> 00:29:44,520 Speaker 1: Tell us about that. 558 00:29:45,040 --> 00:29:48,480 Speaker 10: Yeah, Well, that's that's a related issue that of course, 559 00:29:48,560 --> 00:29:52,440 Speaker 10: doge Is has been, you know, scouring the federal government 560 00:29:52,520 --> 00:29:58,880 Speaker 10: to look for these highly wasteful DEI projects. The Department 561 00:29:58,880 --> 00:30:01,960 Speaker 10: of Labor is one of the more egregious examples of 562 00:30:02,200 --> 00:30:04,880 Speaker 10: governmental waste. By the way, I used to work for 563 00:30:04,920 --> 00:30:06,880 Speaker 10: the federal government, so I know a little bit about 564 00:30:07,280 --> 00:30:13,160 Speaker 10: about the partly right, So we know that men are 565 00:30:13,280 --> 00:30:16,800 Speaker 10: dropping out of the workforce by the millions. It used 566 00:30:16,840 --> 00:30:19,560 Speaker 10: to be eighty percent of men were in the workforce. 567 00:30:19,600 --> 00:30:24,600 Speaker 10: Now we're down to sixty nine percent, that stunning shift. 568 00:30:24,760 --> 00:30:28,640 Speaker 10: Over the last several decades. Department of Labor has not 569 00:30:29,960 --> 00:30:33,200 Speaker 10: latched any kind of program, any kind of office, nothing 570 00:30:33,560 --> 00:30:39,240 Speaker 10: to address this dramatic, catastrophic effect on our nation's economy. 571 00:30:40,520 --> 00:30:43,240 Speaker 10: That's just one issue. The other issue is that look 572 00:30:43,280 --> 00:30:49,120 Speaker 10: at workplace mortality. Right, three percent of people who die 573 00:30:49,360 --> 00:30:54,040 Speaker 10: in the workplace are men? Right, whether it's in logging 574 00:30:54,640 --> 00:31:01,000 Speaker 10: or construction or other mining other dangerous occupations is ninety 575 00:31:01,040 --> 00:31:04,560 Speaker 10: three percent men. Again, look long and hard at the 576 00:31:04,600 --> 00:31:09,200 Speaker 10: Department of Labor website. You will not see any even 577 00:31:09,280 --> 00:31:12,120 Speaker 10: to mention, much less a program that addresses this. 578 00:31:12,360 --> 00:31:15,520 Speaker 2: Yeah, you were saying that in December nineteenth of just 579 00:31:15,800 --> 00:31:20,000 Speaker 2: this past year, the Bureau of Labor statistic highlighted the 580 00:31:20,080 --> 00:31:24,920 Speaker 2: rate of fatal occupational injuries injuries for women, Hispanics, and 581 00:31:24,960 --> 00:31:27,840 Speaker 2: African Americans, but didn't say anything about white. 582 00:31:28,640 --> 00:31:33,040 Speaker 10: The omission was so stunning as to remind you of 583 00:31:33,080 --> 00:31:36,360 Speaker 10: the you know, the Jim Crow era, when only certain 584 00:31:36,480 --> 00:31:42,600 Speaker 10: people or groups of people even deserve mention of their disadvantages. So, yeah, 585 00:31:42,640 --> 00:31:46,120 Speaker 10: this is a stunning area where the Department of Labor 586 00:31:46,200 --> 00:31:46,800 Speaker 10: has failed. 587 00:31:47,440 --> 00:31:52,720 Speaker 2: Right, So I guess in a nutshell, there's grants that 588 00:31:52,840 --> 00:31:55,680 Speaker 2: are going to things like gender equity in the Mexican 589 00:31:55,760 --> 00:31:58,240 Speaker 2: workplace out of the Department of Labor. So that's what 590 00:31:58,280 --> 00:32:02,760 Speaker 2: you're recommending. DOJE looks into stuff like that exactly. 591 00:32:02,960 --> 00:32:06,240 Speaker 10: And of course the DEI programs that they are changing 592 00:32:06,360 --> 00:32:09,680 Speaker 10: their names, you know, they call it by different sweet 593 00:32:09,720 --> 00:32:14,840 Speaker 10: sounding acronyms. But bottom line is, in the United States, 594 00:32:14,840 --> 00:32:18,520 Speaker 10: we believe in the fourteenth Amendment, which says equal treatment 595 00:32:18,600 --> 00:32:22,040 Speaker 10: under the law that applies across the board, including two 596 00:32:22,080 --> 00:32:25,760 Speaker 10: white men. So hey, it's time to respect the law. 597 00:32:26,080 --> 00:32:30,160 Speaker 2: Well, Laurie Chavez Drimer, the new Secretary of Labor, has 598 00:32:30,280 --> 00:32:34,200 Speaker 2: canceled five hundred and seventy seven million dollars in grants 599 00:32:34,280 --> 00:32:35,640 Speaker 2: right because of stuff like this. 600 00:32:36,640 --> 00:32:39,360 Speaker 10: That's correct, So there is room for you know, we're 601 00:32:39,400 --> 00:32:41,520 Speaker 10: seeing a light at the at the end of this 602 00:32:42,240 --> 00:32:45,880 Speaker 10: very dark tunnel. But again, the d L has a 603 00:32:45,920 --> 00:32:51,000 Speaker 10: long way to go to stop ignoring these huge problems 604 00:32:51,120 --> 00:32:53,880 Speaker 10: and concerns affecting the male workforce. 605 00:32:54,240 --> 00:32:59,160 Speaker 2: Are you is save a membership based organization? Can people 606 00:32:59,200 --> 00:33:01,600 Speaker 2: get involved with you and be your eyes and ears 607 00:33:01,600 --> 00:33:04,560 Speaker 2: on the ground? What can the general public do? 608 00:33:05,960 --> 00:33:09,720 Speaker 10: We are not a membership organization. We are a policy organization. 609 00:33:10,400 --> 00:33:14,520 Speaker 10: So we're trying to alert the members of Congress and 610 00:33:14,920 --> 00:33:18,400 Speaker 10: the media as well about these huge areas in which 611 00:33:19,240 --> 00:33:22,280 Speaker 10: men in general are being short changed and we have 612 00:33:22,400 --> 00:33:24,960 Speaker 10: to kind of come to terms with you know, this 613 00:33:25,080 --> 00:33:29,040 Speaker 10: myth about the all powerful patriarchy truly, truly. 614 00:33:28,840 --> 00:33:29,280 Speaker 1: Is a myth. 615 00:33:29,640 --> 00:33:32,320 Speaker 10: We have a lot of concerns with men that we 616 00:33:32,360 --> 00:33:33,120 Speaker 10: need to address. 617 00:33:33,280 --> 00:33:36,720 Speaker 2: Have you had any successes in opening the eyes of 618 00:33:37,240 --> 00:33:40,880 Speaker 2: public officials about these discrepancies or double standards? 619 00:33:41,680 --> 00:33:42,200 Speaker 3: Absolutely. 620 00:33:42,200 --> 00:33:45,560 Speaker 10: Earlier this week we were in the Senate meeting with 621 00:33:45,640 --> 00:33:51,040 Speaker 10: staffers specifically about the Department of Labor, and we met 622 00:33:51,080 --> 00:33:54,920 Speaker 10: with staffers and several offices and they were very sympathetic 623 00:33:54,960 --> 00:33:57,120 Speaker 10: and say, wow, you know this is this is really 624 00:33:57,200 --> 00:33:57,960 Speaker 10: crazy stuff. 625 00:33:59,000 --> 00:34:00,640 Speaker 1: Wow, very interesting. 626 00:34:01,560 --> 00:34:05,320 Speaker 2: Do you have a website and social media links? 627 00:34:05,360 --> 00:34:09,200 Speaker 10: Saveservices dot org. Save services dot org. 628 00:34:09,280 --> 00:34:11,520 Speaker 1: So right, everybody go check it out. 629 00:34:11,680 --> 00:34:14,160 Speaker 2: Ed Bartlett, I want to thank you for coming on 630 00:34:14,200 --> 00:34:17,480 Speaker 2: the show and keep exposing the truth out there. 631 00:34:17,520 --> 00:34:20,040 Speaker 1: That's all you know, and that's all DOGE is doing. 632 00:34:20,160 --> 00:34:26,600 Speaker 1: Right so you know people are panicking because they're they're 633 00:34:26,600 --> 00:34:27,160 Speaker 1: the jig is. 634 00:34:27,239 --> 00:34:32,400 Speaker 3: Up there, you go, all right with you, David. 635 00:34:32,400 --> 00:34:37,120 Speaker 1: Excellent, Thank you again. All right, everybody, Ed Bartlett a save. 636 00:34:37,239 --> 00:34:41,720 Speaker 2: I mean, the male population suffers ninety percent of fatal 637 00:34:41,760 --> 00:34:45,600 Speaker 2: work injuries, and the Bureau of Labor Statistics comes out 638 00:34:45,640 --> 00:34:48,640 Speaker 2: with a report in December twenty twenty four doesn't even 639 00:34:48,719 --> 00:34:51,239 Speaker 2: mention men are dying in the workplace, and they only 640 00:34:51,280 --> 00:34:55,239 Speaker 2: concentrate on women, Hispanics and blacks. Not that that's you know, 641 00:34:55,640 --> 00:34:58,480 Speaker 2: not important, but it seems like they went out of 642 00:34:58,520 --> 00:35:05,640 Speaker 2: their way to not share information about workplace deaths that 643 00:35:06,160 --> 00:35:11,760 Speaker 2: disproportionately affect men, especially white men, right too. 644 00:35:13,040 --> 00:35:14,440 Speaker 1: So that's what's. 645 00:35:14,239 --> 00:35:19,200 Speaker 2: Going on in our government these days. And you know, 646 00:35:19,239 --> 00:35:22,840 Speaker 2: the double standard. And these college people are crazy. My 647 00:35:22,920 --> 00:35:25,880 Speaker 2: son went to GW and they were nuts. He was 648 00:35:25,880 --> 00:35:27,920 Speaker 2: the vice chair of the Republican Club. There were only 649 00:35:27,920 --> 00:35:30,080 Speaker 2: three hundred members. There were three thousand members of the 650 00:35:30,120 --> 00:35:35,279 Speaker 2: Democrat Club there in the college. But my son was 651 00:35:35,400 --> 00:35:39,840 Speaker 2: very active in exposing left wing hypocrisy along with his 652 00:35:40,200 --> 00:35:43,360 Speaker 2: fellow classmates that were active. 653 00:35:43,320 --> 00:35:45,760 Speaker 1: On the right. Very liberal school. 654 00:35:46,560 --> 00:35:49,879 Speaker 2: But anyway, thank you so much, and we have more. 655 00:35:50,080 --> 00:36:16,399 Speaker 2: Don't go anywhere. Welcome back to Breaking Point. I'm David Zier. 656 00:36:16,480 --> 00:36:19,880 Speaker 2: You're watching Real America's Voice News. Corey Bowman. 657 00:36:20,440 --> 00:36:22,719 Speaker 1: He's running for the mayor of Cincinnati. JD. 658 00:36:22,840 --> 00:36:25,239 Speaker 2: Vance's half brother supposed to come on again, but he 659 00:36:25,280 --> 00:36:27,279 Speaker 2: had to postpone. He's on the campaign trail. We're going 660 00:36:27,360 --> 00:36:28,080 Speaker 2: to have him back. 661 00:36:28,520 --> 00:36:29,920 Speaker 1: But right now I have. 662 00:36:30,200 --> 00:36:33,840 Speaker 2: Mike Kucharski, the owner of JKC Trucking, one of the 663 00:36:33,920 --> 00:36:36,720 Speaker 2: largest refrigerated truck companies in the US. 664 00:36:37,040 --> 00:36:38,440 Speaker 1: Mike, what's going on? How you been? 665 00:36:39,400 --> 00:36:41,200 Speaker 7: Hey? Big for me on your show again. I've been 666 00:36:41,239 --> 00:36:42,120 Speaker 7: doing well. How have you been? 667 00:36:42,360 --> 00:36:43,560 Speaker 1: I'm great, I'm great. 668 00:36:43,880 --> 00:36:47,040 Speaker 2: I know we were talking earlier about, you know, kind 669 00:36:47,040 --> 00:36:49,080 Speaker 2: of like what a great country we have, right I 670 00:36:49,080 --> 00:36:52,240 Speaker 2: got to travel the country with Rav following the Trump campaign, 671 00:36:52,320 --> 00:36:54,719 Speaker 2: and you know, you were talking about Wyoming. You know, 672 00:36:55,560 --> 00:36:59,000 Speaker 2: trainloads of coal coming out of Wyoming heading to Ohio. 673 00:36:59,520 --> 00:37:03,280 Speaker 1: So these tariffs, right, what are your thoughts? 674 00:37:03,400 --> 00:37:05,040 Speaker 2: I know that you wanted to make a couple of 675 00:37:05,080 --> 00:37:08,040 Speaker 2: specific points, especially being in the trucking business. 676 00:37:08,840 --> 00:37:12,800 Speaker 5: Yeah, so these tariffs, it's they're bringing businesses back to America. 677 00:37:13,239 --> 00:37:15,400 Speaker 5: That's a short answer. You know, the cause and effect 678 00:37:15,440 --> 00:37:17,440 Speaker 5: of these tariff talks. And I'm thrilled to see this 679 00:37:17,480 --> 00:37:19,719 Speaker 5: topic because this is exactly what I was talking about 680 00:37:19,760 --> 00:37:23,560 Speaker 5: back in February about tariff tariff wars and why. 681 00:37:23,560 --> 00:37:26,160 Speaker 7: Why are we not producing more in America? 682 00:37:26,239 --> 00:37:29,320 Speaker 5: You know, tough tariff talks is driving business back to America. 683 00:37:29,400 --> 00:37:32,360 Speaker 5: We learned a hard lesson on imports. Example during COVID. 684 00:37:32,440 --> 00:37:34,600 Speaker 5: You know, we could build trucks here, but we didn't 685 00:37:34,640 --> 00:37:37,720 Speaker 5: have the chips with microprocessors. We could be brand new trucks, 686 00:37:37,719 --> 00:37:41,080 Speaker 5: but they're all useless. My customers running out of ingredients, 687 00:37:41,120 --> 00:37:41,760 Speaker 5: couldn't produce. 688 00:37:42,320 --> 00:37:42,440 Speaker 1: Uh. 689 00:37:43,320 --> 00:37:48,400 Speaker 5: You know, the US needs to embrace more bold strategies, 690 00:37:48,480 --> 00:37:51,600 Speaker 5: you know, and we see this with Hondi, Apple, Porsche, 691 00:37:51,600 --> 00:37:56,080 Speaker 5: et cetera. This will cause job creations, economic growth, which 692 00:37:56,680 --> 00:38:00,680 Speaker 5: this is what this country desperately needs and most to 693 00:38:00,719 --> 00:38:01,960 Speaker 5: get the American economy. 694 00:38:02,080 --> 00:38:02,720 Speaker 7: Rory again. 695 00:38:02,960 --> 00:38:06,880 Speaker 2: Yeah, look at Proctor Gamble fifty five billion dollar reinvestment 696 00:38:06,960 --> 00:38:11,280 Speaker 2: in America, Hondai down to Louisiana, the natural gas plant, 697 00:38:11,640 --> 00:38:15,960 Speaker 2: the export center. We're going to be exporting a lot 698 00:38:16,000 --> 00:38:20,000 Speaker 2: of natural gas to Asia and also to Europe. I 699 00:38:20,080 --> 00:38:23,400 Speaker 2: wanted to talk about a couple of issues. You know, 700 00:38:23,600 --> 00:38:27,680 Speaker 2: I was on the campaign trail following Trump for about 701 00:38:27,719 --> 00:38:31,920 Speaker 2: five years, five and a half years, and places like Toledo. 702 00:38:32,239 --> 00:38:35,319 Speaker 2: I saw Trump bring back industry. Stanley Tools went back 703 00:38:35,360 --> 00:38:40,040 Speaker 2: to Texas. I think we had Whirlpool and Jeep over 704 00:38:40,080 --> 00:38:44,080 Speaker 2: in Toledo, Ohio, which is very depressed area. The Lima 705 00:38:44,200 --> 00:38:47,279 Speaker 2: tank plant in Ohio rolling again. Did you see the 706 00:38:47,320 --> 00:38:50,640 Speaker 2: trucking business increase under Trump. 707 00:38:52,040 --> 00:38:53,000 Speaker 7: On his first term? 708 00:38:53,120 --> 00:38:55,640 Speaker 5: Yes, I mean houses after coming from eight years from 709 00:38:55,640 --> 00:38:56,359 Speaker 5: the obamattorney. 710 00:38:56,400 --> 00:38:57,200 Speaker 7: It was like night and day. 711 00:38:57,239 --> 00:39:00,120 Speaker 5: Happened when Trump took over because a number one and 712 00:39:00,280 --> 00:39:03,760 Speaker 5: the kind of started booming. People were spending money, we were, 713 00:39:04,080 --> 00:39:07,399 Speaker 5: we were back. There was there was you know, every 714 00:39:07,480 --> 00:39:11,439 Speaker 5: everybody was doing well, fuels down. It was it was 715 00:39:11,520 --> 00:39:13,760 Speaker 5: the ideal American you know, we were living the American 716 00:39:13,840 --> 00:39:16,040 Speaker 5: dream until it's term ended. 717 00:39:16,280 --> 00:39:21,280 Speaker 2: So oil was down at sixty one dollars a barrel yesterday, and. 718 00:39:21,680 --> 00:39:24,200 Speaker 1: But diesel is still high. It's like three point fifty 719 00:39:24,280 --> 00:39:26,040 Speaker 1: nine still here in New York. Is that going to 720 00:39:26,120 --> 00:39:27,520 Speaker 1: come down for truckers? 721 00:39:27,719 --> 00:39:31,080 Speaker 5: So yeah, So it's really annoying because when you when 722 00:39:31,200 --> 00:39:33,000 Speaker 5: gas thing comes down, there's always a lag for diesel. 723 00:39:33,040 --> 00:39:35,320 Speaker 7: And I don't know why, but there's always a too. 724 00:39:35,200 --> 00:39:38,560 Speaker 5: Long of a lag, and I believe it's going to 725 00:39:38,600 --> 00:39:41,280 Speaker 5: come down more. But you know, what's more important about 726 00:39:41,600 --> 00:39:44,919 Speaker 5: diesel is to you know, make America energy independent again 727 00:39:44,920 --> 00:39:47,600 Speaker 5: like we used to during the first term, to support 728 00:39:47,600 --> 00:39:49,520 Speaker 5: the American people because a lot of people don't understand 729 00:39:49,520 --> 00:39:51,920 Speaker 5: that seventy percent of all goods are moved by trucks. 730 00:39:51,960 --> 00:39:54,239 Speaker 5: So even if you don't buy diesel, the food you buy, 731 00:39:54,320 --> 00:39:56,960 Speaker 5: the couches you order, everything is moved by by truck 732 00:39:57,239 --> 00:39:59,080 Speaker 5: and it trickles down to the end use of the 733 00:39:59,080 --> 00:40:01,080 Speaker 5: American people. So when the fuel prices come down and the 734 00:40:01,160 --> 00:40:03,920 Speaker 5: energy prices come down, it goes into you know, the 735 00:40:04,000 --> 00:40:09,399 Speaker 5: American custummers. Uh saves money and to spend on other 736 00:40:09,480 --> 00:40:10,000 Speaker 5: other places. 737 00:40:10,080 --> 00:40:12,560 Speaker 2: Yeah, and you were talking about the supply chains and 738 00:40:12,680 --> 00:40:15,440 Speaker 2: especially during COVID. I had you on during COVID, and 739 00:40:16,040 --> 00:40:19,120 Speaker 2: you know, and then the lunacy going on in California 740 00:40:19,280 --> 00:40:21,680 Speaker 2: with the ports and all, everything was like compounding on 741 00:40:21,760 --> 00:40:25,239 Speaker 2: each other. How important important is it to have a 742 00:40:25,280 --> 00:40:26,520 Speaker 2: domestic supply chain. 743 00:40:27,320 --> 00:40:29,920 Speaker 7: I mean, it's very important to have a supply chain. 744 00:40:29,920 --> 00:40:32,800 Speaker 5: And during COVID we saw how in how Razor thinware 745 00:40:32,840 --> 00:40:35,960 Speaker 5: supply chain was when everybody went ran out, and you know, 746 00:40:36,040 --> 00:40:38,560 Speaker 5: did that excessive buying because if everyone was scared and 747 00:40:38,680 --> 00:40:41,080 Speaker 5: our supply you know, our our safety stock was was 748 00:40:41,120 --> 00:40:45,440 Speaker 5: gone over over a weekend, you know, and that was 749 00:40:45,560 --> 00:40:46,160 Speaker 5: that was no good. 750 00:40:46,239 --> 00:40:48,160 Speaker 7: And what's happening? You mean, I was a Trumps trying 751 00:40:48,160 --> 00:40:48,840 Speaker 7: to turn around. 752 00:40:49,120 --> 00:40:51,600 Speaker 5: I mean, build a supply chain with with these with 753 00:40:51,640 --> 00:40:54,000 Speaker 5: these tears and all these companies coming back. But on 754 00:40:54,080 --> 00:40:55,799 Speaker 5: top of the supply chain, you know, we're gonna get 755 00:40:55,800 --> 00:40:59,120 Speaker 5: these logistic enhancements. You know, this will only increase demand 756 00:40:59,120 --> 00:41:01,960 Speaker 5: for freight transportation and which we which we need, you know. 757 00:41:02,000 --> 00:41:04,839 Speaker 5: And as you said, Honday's investing only twenty twenty billion 758 00:41:04,880 --> 00:41:06,080 Speaker 5: dollars in the US. 759 00:41:06,120 --> 00:41:06,680 Speaker 7: That's amazing. 760 00:41:07,239 --> 00:41:08,880 Speaker 2: Yeah, And well and now they're going to build a 761 00:41:08,920 --> 00:41:12,359 Speaker 2: steel plant, right and then right, tell us about that. 762 00:41:12,920 --> 00:41:15,359 Speaker 5: Yeah, so Honey, Honday number one, Honey will use six 763 00:41:15,400 --> 00:41:18,160 Speaker 5: billion dollars dedicated to supply chain and logistics, which is amazing. 764 00:41:18,600 --> 00:41:21,120 Speaker 7: Uh, And that's exactly what we need. And to increase 765 00:41:21,120 --> 00:41:21,719 Speaker 7: in supply chain. 766 00:41:21,760 --> 00:41:24,400 Speaker 5: Honey plants to dedicate five point eight billion dollars to 767 00:41:24,400 --> 00:41:27,319 Speaker 5: build a steel plant Lose Iana only to produce two 768 00:41:27,360 --> 00:41:30,520 Speaker 5: point seven million meter tons of steel for all its 769 00:41:30,520 --> 00:41:31,120 Speaker 5: car plans. 770 00:41:31,320 --> 00:41:31,480 Speaker 3: You know. 771 00:41:31,600 --> 00:41:34,640 Speaker 5: Now, that's what I call bringing business back to America. 772 00:41:35,680 --> 00:41:38,760 Speaker 1: Yeah. I think it's important and overdue. 773 00:41:38,800 --> 00:41:41,400 Speaker 2: And you know, one of my concerns is that I 774 00:41:41,440 --> 00:41:46,280 Speaker 2: saw people struggle for especially during the four years in Divide. 775 00:41:46,480 --> 00:41:47,319 Speaker 1: Everywhere I went in. 776 00:41:47,239 --> 00:41:50,839 Speaker 2: The country, done thousands of interviews people. Everybody's hurting, whether 777 00:41:50,880 --> 00:41:53,680 Speaker 2: it's the diner owner. So you got eggs down fifty percent, 778 00:41:54,400 --> 00:41:57,520 Speaker 2: You've got gases coming down, but now there. 779 00:41:57,480 --> 00:42:00,000 Speaker 1: Might be new price increases because of the tower. 780 00:42:00,280 --> 00:42:03,640 Speaker 2: Do you see any big effect or you think it's 781 00:42:03,719 --> 00:42:05,879 Speaker 2: going to be temporary and countries are going to start 782 00:42:05,880 --> 00:42:07,600 Speaker 2: coming to the table and negotiating. 783 00:42:08,560 --> 00:42:10,600 Speaker 5: You mean, how's this It's hard to see right now 784 00:42:10,600 --> 00:42:13,319 Speaker 5: because the terrorists just kicked in, you know, And how 785 00:42:13,320 --> 00:42:16,600 Speaker 5: it's going to affect that I haven't felt the effects yet, 786 00:42:16,680 --> 00:42:18,799 Speaker 5: but it just kicked in. H I mean, I think 787 00:42:18,800 --> 00:42:20,640 Speaker 5: it's gonna be temporary, because how's this. US is the 788 00:42:20,640 --> 00:42:24,440 Speaker 5: biggest customer in all of the world. So the world's 789 00:42:24,440 --> 00:42:26,319 Speaker 5: gonna have to either decide are you going to sell 790 00:42:26,400 --> 00:42:28,840 Speaker 5: to the US and make a deal or we won't? 791 00:42:29,120 --> 00:42:29,560 Speaker 3: You know what I mean? 792 00:42:29,600 --> 00:42:29,920 Speaker 1: How's this? 793 00:42:30,040 --> 00:42:33,120 Speaker 5: Canada Mexico is already making a deal, which is amazing. 794 00:42:33,200 --> 00:42:34,760 Speaker 7: And Trump said in his first time. 795 00:42:34,640 --> 00:42:38,120 Speaker 5: That we need to rely on more on our close 796 00:42:38,280 --> 00:42:41,720 Speaker 5: border countries as supply chains other than relying on China. 797 00:42:41,960 --> 00:42:44,880 Speaker 7: And you know, that really never sank in until COVID happened. 798 00:42:44,920 --> 00:42:47,319 Speaker 5: And then I saw the whole picture, and I was like, 799 00:42:47,719 --> 00:42:50,600 Speaker 5: Trump was right way back before COVID, and he kept 800 00:42:50,640 --> 00:42:52,799 Speaker 5: talking about this in his first term and nobody wanted 801 00:42:52,840 --> 00:42:55,040 Speaker 5: to listen. And how's this? And I'm glad he's doing 802 00:42:55,120 --> 00:42:57,279 Speaker 5: this because houses he worked it out in the first 803 00:42:57,320 --> 00:42:58,759 Speaker 5: deal when he started negotiating. 804 00:42:59,239 --> 00:43:01,439 Speaker 7: Uh, and it has to be done. 805 00:43:01,760 --> 00:43:06,680 Speaker 5: I mean, we haven't done these negotiations for Terris for decades. 806 00:43:07,000 --> 00:43:10,799 Speaker 7: You know, I was reading earlier this morning. Trump is unplugging. 807 00:43:11,800 --> 00:43:15,040 Speaker 5: The export machine and import machine and plugging back in 808 00:43:15,320 --> 00:43:16,319 Speaker 5: for ten seconds. 809 00:43:16,040 --> 00:43:18,960 Speaker 7: For reset, and we do need a reset in this country. 810 00:43:19,000 --> 00:43:21,040 Speaker 7: And I think it'll only make it better. And we 811 00:43:21,120 --> 00:43:23,120 Speaker 7: got to learn by a mistake, especially after COVID that 812 00:43:23,200 --> 00:43:23,880 Speaker 7: was a disaster. 813 00:43:24,520 --> 00:43:24,759 Speaker 1: Yeah. 814 00:43:24,800 --> 00:43:28,960 Speaker 2: We Trump brought back nine thousand distribution centers and factories 815 00:43:29,040 --> 00:43:32,600 Speaker 2: back to the United States during his first term and 816 00:43:32,640 --> 00:43:37,799 Speaker 2: the Dow doubled under Trump for most of his presidency, 817 00:43:37,960 --> 00:43:40,319 Speaker 2: and it went down from thirty five to twenty nine. 818 00:43:40,360 --> 00:43:40,840 Speaker 1: Onder Biden. 819 00:43:40,920 --> 00:43:44,120 Speaker 2: I didn't see all the Democrats screaming about the losses 820 00:43:44,120 --> 00:43:46,200 Speaker 2: that Biden incurred, you know, even though it did go 821 00:43:46,320 --> 00:43:50,160 Speaker 2: back up, you know, So we'll see. 822 00:43:49,920 --> 00:43:51,080 Speaker 1: Where that goes. 823 00:43:51,239 --> 00:43:56,879 Speaker 2: Has your industry and company, where do you stand from 824 00:43:57,000 --> 00:43:59,000 Speaker 2: twenty nineteen, say to now? 825 00:43:59,400 --> 00:44:01,680 Speaker 1: Is it like you're at the same level. Did you 826 00:44:01,719 --> 00:44:03,160 Speaker 1: get held back under Biden? 827 00:44:04,640 --> 00:44:04,719 Speaker 10: No? 828 00:44:04,960 --> 00:44:07,040 Speaker 7: So we haul food and food. 829 00:44:07,080 --> 00:44:10,800 Speaker 5: Food inflation has been a major factor affecting American families, obviously, 830 00:44:11,000 --> 00:44:14,200 Speaker 5: especially the less fortunate families on a budget. You know, 831 00:44:14,200 --> 00:44:17,040 Speaker 5: American has been skipping meals due to food inflation, and 832 00:44:17,040 --> 00:44:20,880 Speaker 5: this caused volumes to go down, consumption volumes. 833 00:44:21,360 --> 00:44:22,360 Speaker 3: We call it voume. 834 00:44:22,120 --> 00:44:26,200 Speaker 5: Volatility in trucking due to less volumes due to less consumption, 835 00:44:27,680 --> 00:44:30,359 Speaker 5: it's going down and truckers have less freight to haul. 836 00:44:30,760 --> 00:44:32,959 Speaker 7: What what does this call? What does this cause? 837 00:44:33,320 --> 00:44:35,399 Speaker 5: Every trucker is fighting for the freight that is left 838 00:44:35,400 --> 00:44:37,319 Speaker 5: over and goes to the lowest bidder, which is doing 839 00:44:37,480 --> 00:44:40,640 Speaker 5: It's killing trucking companies every day because of food inflation. 840 00:44:41,040 --> 00:44:45,319 Speaker 7: So not only are you know, the working class families losing. 841 00:44:45,040 --> 00:44:48,640 Speaker 5: By paying more for their food, it's killing American businesses 842 00:44:48,680 --> 00:44:50,600 Speaker 5: and the American dream because a lot of these truckers, 843 00:44:51,000 --> 00:44:53,719 Speaker 5: our owner operators, they're living in American dream, being their 844 00:44:53,760 --> 00:44:55,240 Speaker 5: own boss, owning their own equipment. 845 00:44:55,600 --> 00:44:56,319 Speaker 1: Yeah, and it's hard. 846 00:44:56,360 --> 00:44:58,600 Speaker 2: And it's forty thousand year for a family health plan 847 00:44:58,680 --> 00:45:01,040 Speaker 2: and the legacy costs that you got have to incur too. 848 00:45:01,080 --> 00:45:04,440 Speaker 2: It must be tough for these guys to stay in 849 00:45:04,520 --> 00:45:08,640 Speaker 2: business though. All right, where can the American public stay 850 00:45:08,640 --> 00:45:10,160 Speaker 2: informed on the trucking issues? 851 00:45:10,200 --> 00:45:11,520 Speaker 1: And are you on social media? 852 00:45:12,640 --> 00:45:15,319 Speaker 11: I'm not on social media, but they can go to 853 00:45:15,880 --> 00:45:19,080 Speaker 11: WWJKC Trucking dot com and there's a media button where 854 00:45:19,120 --> 00:45:22,560 Speaker 11: all my stuff is and yeah, that would probably be 855 00:45:22,560 --> 00:45:23,640 Speaker 11: the best thing they get hold of me. 856 00:45:23,760 --> 00:45:25,960 Speaker 2: All right, well, maybe we can revisit this in like 857 00:45:26,040 --> 00:45:28,399 Speaker 2: two months or so and see if there was any 858 00:45:28,440 --> 00:45:32,640 Speaker 2: impact from the tariffs. I see food cost coming down. 859 00:45:33,040 --> 00:45:35,239 Speaker 2: I've seen it in the supermarkets, you know. I've been 860 00:45:35,239 --> 00:45:39,200 Speaker 2: following it very closely. I think overall things are getting 861 00:45:39,239 --> 00:45:40,680 Speaker 2: a little bit more affordable. 862 00:45:40,719 --> 00:45:42,040 Speaker 1: But I don't know how much longer. 863 00:45:41,800 --> 00:45:44,440 Speaker 2: The American family can last, you know, so it's very 864 00:45:44,480 --> 00:45:49,480 Speaker 2: concerning to me. Mike Kucharski JKC Trucking always on point. 865 00:45:49,800 --> 00:45:51,920 Speaker 1: I want to thank you so much for joining us. 866 00:45:52,640 --> 00:45:53,680 Speaker 7: Thanks, Veri and Joe. 867 00:45:53,760 --> 00:45:55,040 Speaker 1: All right, have a great weekend. 868 00:45:55,280 --> 00:45:58,160 Speaker 2: All right, everybody, I thank you so much for watching 869 00:45:58,200 --> 00:46:01,000 Speaker 2: Breaking Point today. I've got a great show next week 870 00:46:01,000 --> 00:46:04,239 Speaker 2: again for you, and don't forget watch us on the 871 00:46:04,239 --> 00:46:06,760 Speaker 2: Getter Chat. Join the Ghettter Chat go to add real 872 00:46:06,880 --> 00:46:11,279 Speaker 2: Am voice on Getter. Sign up today and follow the 873 00:46:11,360 --> 00:46:14,040 Speaker 2: chat for all the shows. It's a great place to interact. 874 00:46:14,640 --> 00:46:17,000 Speaker 2: And now I want to bring you a message from 875 00:46:17,320 --> 00:46:19,720 Speaker 2: the great Maria Lynn of Switch to USA. 876 00:46:20,160 --> 00:46:21,160 Speaker 1: We'll see you next time. 877 00:46:21,800 --> 00:46:25,640 Speaker 2: We always love seeing Maria from Switch to USA. 878 00:46:26,000 --> 00:46:26,520 Speaker 1: How are you. 879 00:46:26,719 --> 00:46:29,200 Speaker 8: I am doing very well. I am so pumped that 880 00:46:29,320 --> 00:46:30,920 Speaker 8: we are here in Long Island. 881 00:46:31,200 --> 00:46:33,680 Speaker 1: Thank you. Yeah, it's great and I see you everywhere. 882 00:46:33,680 --> 00:46:37,280 Speaker 2: I saw you in Schnecksville, Pennsylvania, Wildwood, New Jersey. 883 00:46:37,320 --> 00:46:38,319 Speaker 1: Is there anyway you don't go? 884 00:46:39,040 --> 00:46:41,640 Speaker 8: There is nowhere we don't go. Absolutely. 885 00:46:41,800 --> 00:46:44,799 Speaker 2: You've been a supporter of Real America's Voice breaking point 886 00:46:45,400 --> 00:46:46,080 Speaker 2: for some time. 887 00:46:46,160 --> 00:46:48,319 Speaker 1: Now tell us about Switch to USA. 888 00:46:48,400 --> 00:46:53,680 Speaker 8: Well, Switch to USA is the mom and pop American manufacturer, 889 00:46:53,960 --> 00:46:57,480 Speaker 8: and we are the parallel economy for all of your essentials. 890 00:46:57,520 --> 00:47:00,440 Speaker 8: And you never know when you might need another supply 891 00:47:00,600 --> 00:47:02,279 Speaker 8: chaink wink so. 892 00:47:02,600 --> 00:47:05,680 Speaker 2: All made on American soil by American factory workers. 893 00:47:05,800 --> 00:47:09,520 Speaker 8: Aimen to that. We have to rebuild our economy and 894 00:47:09,560 --> 00:47:10,399 Speaker 8: we are doing it. 895 00:47:10,840 --> 00:47:12,480 Speaker 1: Where can our viewers find you? 896 00:47:12,520 --> 00:47:17,480 Speaker 8: Please come to switch the number two USA dot com. 897 00:47:17,640 --> 00:47:21,000 Speaker 1: Switch to USA dot com. We love Maria, so great 898 00:47:21,000 --> 00:47:21,400 Speaker 1: to see you. 899 00:47:21,600 --> 00:47:22,319 Speaker 6: Thank you so much. 900 00:47:22,400 --> 00:47:23,600 Speaker 8: David, we love you too. 901 00:47:23,800 --> 00:47:32,560 Speaker 1: Thank you everyone. Awesome, Thank you Maria. 902 00:47:35,800 --> 00:47:38,240 Speaker 9: We all want to make a difference in our country 903 00:47:38,360 --> 00:47:42,240 Speaker 9: and make change, but we don't all have the ability 904 00:47:42,239 --> 00:47:43,799 Speaker 9: to do so. A lot of people are busy. They 905 00:47:43,800 --> 00:47:46,960 Speaker 9: can't join school boards, they can't get on borough council, 906 00:47:47,040 --> 00:47:50,200 Speaker 9: but they can change where they shop. And it's just shopping. 907 00:47:50,200 --> 00:47:50,880 Speaker 7: It's that simple. 908 00:47:51,040 --> 00:47:53,359 Speaker 8: We're gonna link arms and we're going to shop right 909 00:47:53,440 --> 00:47:57,080 Speaker 8: here at this American factory. They make the products, and 910 00:47:57,080 --> 00:47:59,600 Speaker 8: they're all natural and they're good for us, and there 911 00:47:59,600 --> 00:48:02,560 Speaker 8: are four ordable everything's made here in the USA.