1 00:00:07,280 --> 00:00:09,600 Speaker 1: Hey, everybody, thanks so much for joining me for another 2 00:00:09,640 --> 00:00:12,960 Speaker 1: episode of Laura Trump one and for questioning. Tonight's episode 3 00:00:13,119 --> 00:00:15,600 Speaker 1: is brought to you by our good friends gold Code, 4 00:00:15,600 --> 00:00:18,680 Speaker 1: the number one rated precious metals company. You can go 5 00:00:18,720 --> 00:00:22,600 Speaker 1: to Laura Likes goold dot com to learn more. All right, 6 00:00:22,640 --> 00:00:26,440 Speaker 1: let's get to these questions. Here we go. Question number one, 7 00:00:26,840 --> 00:00:29,639 Speaker 1: what did you think of ice agents in the airports? 8 00:00:29,680 --> 00:00:32,000 Speaker 1: Did you travel it all last week? As a matter 9 00:00:32,040 --> 00:00:34,400 Speaker 1: of fact, thank you so much for asking. I sure did. 10 00:00:34,840 --> 00:00:38,920 Speaker 1: I traveled up to Newark Liberty Airport to go to 11 00:00:38,960 --> 00:00:42,360 Speaker 1: New York for the day, and I noticed almost immediately 12 00:00:42,800 --> 00:00:44,599 Speaker 1: an ice presence there. And you know what I did. 13 00:00:44,640 --> 00:00:46,920 Speaker 1: I walked straight up to these gentlemen and I shook 14 00:00:46,960 --> 00:00:49,000 Speaker 1: their hands and I said, thank you so much for 15 00:00:49,159 --> 00:00:52,480 Speaker 1: your service, thank you for being here. I noticed that, 16 00:00:53,720 --> 00:00:56,360 Speaker 1: despite what you may have heard out there from people 17 00:00:56,840 --> 00:01:00,600 Speaker 1: like Hikim Jeffries, no one was being killed in the 18 00:01:00,640 --> 00:01:04,080 Speaker 1: airports by these ice agents. There was no hysteria. They 19 00:01:04,080 --> 00:01:08,320 Speaker 1: weren't doing anything crazy. Guess what they were doing at JFK, 20 00:01:08,959 --> 00:01:11,040 Speaker 1: just down the street from where I was, save in 21 00:01:11,080 --> 00:01:13,759 Speaker 1: a one year old's life. That's right, ice agent did 22 00:01:13,760 --> 00:01:17,440 Speaker 1: that how about it. They were helping the TSA agents 23 00:01:17,959 --> 00:01:22,280 Speaker 1: get all of the baggage through the scanning machines. Doesn't 24 00:01:22,319 --> 00:01:25,399 Speaker 1: sound like a bad deal to me. Whenever you're a 25 00:01:25,400 --> 00:01:29,320 Speaker 1: little short staffed with TSA. Because the Democrats are holding 26 00:01:29,319 --> 00:01:32,679 Speaker 1: our country hostage, President Trump said, you know what, I think, 27 00:01:32,680 --> 00:01:34,640 Speaker 1: I'm going to send some people into help and help 28 00:01:35,080 --> 00:01:40,479 Speaker 1: they did. Fortunately, we have a president who decided that 29 00:01:40,840 --> 00:01:42,800 Speaker 1: he was going to do another workaround. There have been 30 00:01:42,800 --> 00:01:46,320 Speaker 1: many workarounds that he's had to do because the Democrats 31 00:01:46,480 --> 00:01:50,280 Speaker 1: are so obsessed with playing politics. They don't really care 32 00:01:50,960 --> 00:01:52,640 Speaker 1: how much it affects the rest of the country. They 33 00:01:52,680 --> 00:01:54,760 Speaker 1: don't care how it hurts everyday people. They don't care 34 00:01:55,280 --> 00:01:58,480 Speaker 1: that the average salary of a TSA worker is fifty 35 00:01:58,520 --> 00:02:00,960 Speaker 1: thousand dollars a year. They don't care about that. They 36 00:02:01,040 --> 00:02:03,520 Speaker 1: just want to make sure that they try to inflict 37 00:02:03,560 --> 00:02:06,640 Speaker 1: some kind of damage on the reputation of Republicans because, 38 00:02:06,720 --> 00:02:09,079 Speaker 1: let's face it, Democrats have nothing to offer. As we're 39 00:02:09,120 --> 00:02:13,799 Speaker 1: going in to November these midterm elections, the President has 40 00:02:13,840 --> 00:02:16,840 Speaker 1: figured out a way to pay TSA agents. Thank you, 41 00:02:16,919 --> 00:02:19,480 Speaker 1: President Trump for making sure of that, much like he 42 00:02:19,520 --> 00:02:25,639 Speaker 1: did with DHS during the previous shutdowns. So these lunatics 43 00:02:25,680 --> 00:02:27,680 Speaker 1: on the left are going to have to come up 44 00:02:27,720 --> 00:02:32,080 Speaker 1: with something better to do than just hold our country hostage. 45 00:02:32,080 --> 00:02:35,240 Speaker 1: They're gonna have to offer something to the American people. 46 00:02:35,720 --> 00:02:37,600 Speaker 1: We'll wait and see what that'll be. Here we go, 47 00:02:37,680 --> 00:02:42,000 Speaker 1: next question, Well, Hi, Laura, is there going to be 48 00:02:42,200 --> 00:02:46,400 Speaker 1: a puppy in the Eastern Basket this year? Let me 49 00:02:46,440 --> 00:02:49,880 Speaker 1: tell you something. I sure hope. So I am always 50 00:02:49,919 --> 00:02:53,280 Speaker 1: available for a puppy. Dogs, send them my way. I 51 00:02:53,680 --> 00:02:56,280 Speaker 1: can't get enough of them. I'm trying to think if 52 00:02:56,320 --> 00:02:58,440 Speaker 1: there would be a number of dogs shown up at 53 00:02:58,480 --> 00:03:02,079 Speaker 1: my house that I'd be like, maybe not. I don't know, fifty, 54 00:03:02,320 --> 00:03:08,160 Speaker 1: Maybe that's my upper limit. We unfortunately lost one of 55 00:03:08,200 --> 00:03:12,440 Speaker 1: our dogs about a month ago, Charlie the og. He 56 00:03:12,600 --> 00:03:15,960 Speaker 1: has been through so much of my life with me, 57 00:03:16,639 --> 00:03:19,600 Speaker 1: of our relationship. You know, Eric and I've been together 58 00:03:19,680 --> 00:03:24,120 Speaker 1: for seventeen years now. Charlie was there for almost sixteen 59 00:03:24,240 --> 00:03:28,080 Speaker 1: of those years, and so it's a huge loss in 60 00:03:28,120 --> 00:03:32,320 Speaker 1: our house. And I keep telling my kids that Charlie 61 00:03:32,360 --> 00:03:34,280 Speaker 1: will send us another dog at the right time. No, 62 00:03:34,320 --> 00:03:35,839 Speaker 1: we still have two at the house. We got Ben 63 00:03:35,880 --> 00:03:40,720 Speaker 1: and Betty. Ben is probably around eleven, Betty is maybe four, 64 00:03:41,680 --> 00:03:44,680 Speaker 1: and so thank god for them, because if I came 65 00:03:44,720 --> 00:03:46,840 Speaker 1: home to an empty house like that would have been it. 66 00:03:47,240 --> 00:03:48,640 Speaker 1: I don't know if you would ever heard from me 67 00:03:48,720 --> 00:03:54,520 Speaker 1: again after losing Charlie. But yeah, we want another dog, absolutely, 68 00:03:54,600 --> 00:03:56,680 Speaker 1: And I say we, and I'm going to include Eric 69 00:03:56,720 --> 00:04:02,440 Speaker 1: Trump and that he's very unaware on the agenda, and 70 00:04:02,480 --> 00:04:06,240 Speaker 1: that's okay. Dogs are good. So I have my feelers 71 00:04:06,240 --> 00:04:10,520 Speaker 1: out with my rescue teams. They know what I'm looking for. 72 00:04:10,880 --> 00:04:13,760 Speaker 1: I won't tell you here exactly what it is, but 73 00:04:13,840 --> 00:04:16,719 Speaker 1: when it comes down, I'll let you know. Then there's 74 00:04:16,760 --> 00:04:20,360 Speaker 1: a very specific kind of dog that I'm looking for, 75 00:04:20,640 --> 00:04:23,920 Speaker 1: and I'll tell you why at the right time. Okay, 76 00:04:24,080 --> 00:04:27,520 Speaker 1: so you have to tune back in. Next question. Did 77 00:04:27,560 --> 00:04:32,159 Speaker 1: you like Easter egg hunts as a child? Yeah, I mean, listen, 78 00:04:32,320 --> 00:04:36,359 Speaker 1: I'm I'm competitive. I'm a competitor where whatever it is 79 00:04:36,440 --> 00:04:39,560 Speaker 1: you're gonna give me, I'm gonna try to compete. But 80 00:04:39,640 --> 00:04:42,880 Speaker 1: I also, because of that, felt a lot of anxiety 81 00:04:43,440 --> 00:04:46,880 Speaker 1: going into these Easter egg hunts. I vividly remember right 82 00:04:46,880 --> 00:04:51,000 Speaker 1: across the street from my parents' house is a park, 83 00:04:51,680 --> 00:04:56,160 Speaker 1: and this park is kind of like the spot Santa 84 00:04:56,240 --> 00:05:00,240 Speaker 1: shows up there, Easter egg hunts there, the whole thing, right. 85 00:05:01,440 --> 00:05:03,520 Speaker 1: I remember going over to the park across the street 86 00:05:03,560 --> 00:05:05,680 Speaker 1: from my parents' house and being like, all right, I 87 00:05:05,720 --> 00:05:07,760 Speaker 1: really need to get focused here. I had to get 88 00:05:07,839 --> 00:05:10,440 Speaker 1: my game face on, and I felt a lot of 89 00:05:10,520 --> 00:05:16,159 Speaker 1: stress about finding that golden egg going for it. But yeah, 90 00:05:16,240 --> 00:05:18,200 Speaker 1: I mean, who doesn't love an easterrog hunt? It's great. 91 00:05:18,200 --> 00:05:22,960 Speaker 1: In fact, my kids are already trying to hide eggs 92 00:05:22,960 --> 00:05:25,520 Speaker 1: around our house because they love an East rog hunt. 93 00:05:25,560 --> 00:05:27,760 Speaker 1: My son was it last year or the year before? 94 00:05:28,360 --> 00:05:30,440 Speaker 1: I woke up one morning it was like six thirty 95 00:05:30,960 --> 00:05:34,240 Speaker 1: one morning. This was after Easter, and my son, I 96 00:05:34,279 --> 00:05:35,800 Speaker 1: want to say it was like a month after Easter. 97 00:05:35,920 --> 00:05:38,719 Speaker 1: My son had put together a bunch of Easter eggs 98 00:05:38,720 --> 00:05:42,000 Speaker 1: he'd found like random toys around our house, hot wheels, cars, 99 00:05:42,320 --> 00:05:45,680 Speaker 1: followed up a Pokemon I know, apparently not the good ones, 100 00:05:45,920 --> 00:05:47,800 Speaker 1: put them in these little Easter eggs and then hit 101 00:05:47,839 --> 00:05:50,800 Speaker 1: them out in our yard. And he and my daughter 102 00:05:50,960 --> 00:05:53,279 Speaker 1: were out doing their own Easter egg hunt. So it 103 00:05:53,360 --> 00:05:57,200 Speaker 1: runs in our family. Apparently. I love an Easter egg hunt. 104 00:05:57,360 --> 00:06:00,840 Speaker 1: I don't love the stress that surround all of it. 105 00:06:01,000 --> 00:06:04,800 Speaker 1: I don't love the stress of having to have an 106 00:06:04,880 --> 00:06:10,440 Speaker 1: Easter outfit for here in Florida on Sunday because that's 107 00:06:10,480 --> 00:06:13,600 Speaker 1: gonna go down, and then also have a separate Easter 108 00:06:13,640 --> 00:06:16,279 Speaker 1: outfit for everybody to go up to the Easter egg 109 00:06:16,360 --> 00:06:21,200 Speaker 1: roll at the White House. Mom's out there. I understand. 110 00:06:21,360 --> 00:06:24,000 Speaker 1: The struggle is real. We gotta gotta think of everything. 111 00:06:24,040 --> 00:06:26,880 Speaker 1: We gotta be ten steps ahead of everything, because you 112 00:06:26,920 --> 00:06:29,760 Speaker 1: imagine you wake up on Saturday morning this weekend and 113 00:06:29,800 --> 00:06:32,520 Speaker 1: you're like, tomorrow's Easter. 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Do your research. 169 00:09:53,840 --> 00:09:57,080 Speaker 1: That's what I did, and that's why I chose strong Cell. 170 00:09:58,200 --> 00:10:01,760 Speaker 1: All Right, here we go next, que Ushion, what are 171 00:10:01,800 --> 00:10:06,960 Speaker 1: you the most proud of in your career? Oh my gosh, 172 00:10:07,120 --> 00:10:12,719 Speaker 1: that's a big question. Holy smokes. I feel like I've 173 00:10:12,760 --> 00:10:18,080 Speaker 1: had a lot of careers. Listen, it's pretty freaking cool 174 00:10:18,400 --> 00:10:22,240 Speaker 1: to be able to have seen the things that I've 175 00:10:22,240 --> 00:10:25,480 Speaker 1: been able to see so far. It's pretty pretty cool 176 00:10:26,160 --> 00:10:29,560 Speaker 1: to say that I was the co chair of the 177 00:10:29,600 --> 00:10:34,120 Speaker 1: Republican National Committee in twenty twenty four, when the stakes 178 00:10:34,640 --> 00:10:38,680 Speaker 1: couldn't have been higher, when it felt like everything was 179 00:10:38,679 --> 00:10:43,840 Speaker 1: stacked against us, when it was a must win election 180 00:10:44,040 --> 00:10:48,440 Speaker 1: for President Trump, and not only did we win the 181 00:10:48,480 --> 00:10:52,920 Speaker 1: Electoral College, not only did we win every single swing state, 182 00:10:53,640 --> 00:10:55,840 Speaker 1: but Donald Trump won the popular vote for the first 183 00:10:55,880 --> 00:10:59,240 Speaker 1: time in decades as a Republican. And I was the 184 00:10:59,240 --> 00:11:03,000 Speaker 1: co chair of the party. I mean, I don't know, 185 00:11:03,360 --> 00:11:05,760 Speaker 1: I don't know, Listen. I guess there's a lot more 186 00:11:05,800 --> 00:11:08,560 Speaker 1: to come in life, I feel like there is. That 187 00:11:08,679 --> 00:11:12,160 Speaker 1: was pretty freaking epic, and I remember the feeling the 188 00:11:12,280 --> 00:11:17,800 Speaker 1: night of the election when I realized like we had enough, 189 00:11:18,720 --> 00:11:22,040 Speaker 1: it was going to tip in our direction. The amount 190 00:11:22,040 --> 00:11:27,080 Speaker 1: of relief I felt was I mean almost I can't 191 00:11:27,080 --> 00:11:30,400 Speaker 1: even explain it. But on top of that, like just 192 00:11:30,440 --> 00:11:34,440 Speaker 1: such gratitude to have been able to be there and 193 00:11:34,520 --> 00:11:39,679 Speaker 1: had this opportunity and played a small part in something 194 00:11:39,920 --> 00:11:43,480 Speaker 1: so big, Like what a cool experience. So thank you 195 00:11:44,400 --> 00:11:48,720 Speaker 1: to the members of the Republican National Committee who voted 196 00:11:48,760 --> 00:11:51,800 Speaker 1: me into that position as your co chair. I know 197 00:11:51,920 --> 00:11:54,559 Speaker 1: initially there were people thrown around a lot of nasty 198 00:11:54,600 --> 00:11:58,440 Speaker 1: things about me. I won't name any names, but if 199 00:11:58,480 --> 00:12:01,839 Speaker 1: you looked over at the DNC at the time, they 200 00:12:01,840 --> 00:12:04,199 Speaker 1: were a little sassy over there. Y'all got a little 201 00:12:04,200 --> 00:12:07,280 Speaker 1: sassy about me. I don't know how did it work out, gang, 202 00:12:07,840 --> 00:12:10,480 Speaker 1: but I do want to say to the RNC committee members, 203 00:12:10,520 --> 00:12:13,560 Speaker 1: thank you, guys. Thank you for voting me into that position. 204 00:12:13,640 --> 00:12:17,640 Speaker 1: Thank you for allowing me that opportunity. It was pretty 205 00:12:17,720 --> 00:12:20,480 Speaker 1: freaking epic, There's no doubt about it. And now when 206 00:12:20,520 --> 00:12:22,800 Speaker 1: I go to the RNC, my face is hung up 207 00:12:22,840 --> 00:12:27,679 Speaker 1: on the wall. Pretty cool. That's good stuff. So yeah, 208 00:12:27,760 --> 00:12:30,240 Speaker 1: I would say that one would have to top the 209 00:12:30,240 --> 00:12:35,680 Speaker 1: list for sure. Okay, does the Trump family have dance 210 00:12:35,760 --> 00:12:40,120 Speaker 1: parties and have you danced with Trump at one of them? 211 00:12:41,360 --> 00:12:43,760 Speaker 1: I wouldn't say he's really a dancer. I've been to 212 00:12:43,840 --> 00:12:47,240 Speaker 1: some events with him where there's a dance floor, and 213 00:12:47,320 --> 00:12:52,120 Speaker 1: these aren't big events, so you know, everybody's kind of 214 00:12:53,080 --> 00:12:56,000 Speaker 1: meant to be out on the dance floor, but there's 215 00:12:56,040 --> 00:12:59,719 Speaker 1: like a little couch or chair something next to the 216 00:12:59,800 --> 00:13:04,079 Speaker 1: day dance floor. He kind of typically will end up there. 217 00:13:06,280 --> 00:13:09,280 Speaker 1: I'm trying to think if I believe I danced with 218 00:13:09,360 --> 00:13:13,240 Speaker 1: him at my wedding, I believe there was a moment 219 00:13:13,280 --> 00:13:16,640 Speaker 1: of that. That's sort of like a standard situation, but 220 00:13:16,720 --> 00:13:19,679 Speaker 1: it's like a very basic I mean, we're not talking 221 00:13:19,679 --> 00:13:22,080 Speaker 1: about like some kind of YMCA dance. We know he 222 00:13:22,160 --> 00:13:27,240 Speaker 1: loves that dance for sure, But yeah, dance parties. I 223 00:13:27,280 --> 00:13:31,000 Speaker 1: don't know if we necessarily have those. My kids love 224 00:13:31,200 --> 00:13:35,560 Speaker 1: to just absolutely tear apart or couch in the living room, 225 00:13:35,679 --> 00:13:38,240 Speaker 1: jump around on it, that kind of dance party, and 226 00:13:38,240 --> 00:13:40,160 Speaker 1: then I make everybody put it back together. But of 227 00:13:40,200 --> 00:13:42,640 Speaker 1: course every mom out there knows, they don't put it 228 00:13:42,640 --> 00:13:44,840 Speaker 1: back together the right way. So when everybody goes to bed, 229 00:13:44,880 --> 00:13:48,359 Speaker 1: I got to disassemble the whole thing and then reassemble 230 00:13:48,400 --> 00:13:53,080 Speaker 1: it properly. But if you come tomorro A Lago on 231 00:13:53,280 --> 00:13:58,000 Speaker 1: New Year's Eve, you may or may not see me 232 00:13:58,120 --> 00:14:01,640 Speaker 1: dancing at one of these events. That's right. I have 233 00:14:01,679 --> 00:14:03,560 Speaker 1: a nice time, and we have a great band that 234 00:14:03,679 --> 00:14:05,960 Speaker 1: shows up on New Year's Eve at mar A Lago, 235 00:14:06,120 --> 00:14:09,480 Speaker 1: So maybe you got to check that out. Okay, what 236 00:14:09,760 --> 00:14:15,120 Speaker 1: cheeses would you recommend for dessert at a dinner event? 237 00:14:15,960 --> 00:14:20,320 Speaker 1: Love this question. I do love cheese. I try not 238 00:14:20,480 --> 00:14:23,680 Speaker 1: to eat too much of it. It's just, you know, 239 00:14:23,720 --> 00:14:27,040 Speaker 1: one of those things like the calories, is the juice 240 00:14:27,080 --> 00:14:30,280 Speaker 1: worth the squeeze? I don't know. It's pretty caloric, it's 241 00:14:30,280 --> 00:14:34,480 Speaker 1: pretty dense, it's pretty high in fat, and so sparingly. 242 00:14:34,840 --> 00:14:38,160 Speaker 1: I do love a good cheese. I will say one 243 00:14:38,160 --> 00:14:43,440 Speaker 1: of our family traditions in the Trump household is fondue. 244 00:14:43,480 --> 00:14:47,000 Speaker 1: Whenever we go skiing in Colorado, there's one place Eric 245 00:14:47,000 --> 00:14:49,920 Speaker 1: and I always end up, and you got to have 246 00:14:49,960 --> 00:14:52,640 Speaker 1: a good grey or cheese for a fondue. I think 247 00:14:52,680 --> 00:14:58,080 Speaker 1: everybody knows that in terms of a dessert, I want 248 00:14:58,080 --> 00:15:00,160 Speaker 1: to say a bree. It's hard to go wround with 249 00:15:00,160 --> 00:15:04,760 Speaker 1: a bree. And by the way, Eric's aunt Mary Anne 250 00:15:04,880 --> 00:15:09,280 Speaker 1: used to every Christmas. This is also Christmas, and we 251 00:15:09,360 --> 00:15:13,360 Speaker 1: also did it for Thanksgiving. She used to make this 252 00:15:13,480 --> 00:15:18,600 Speaker 1: baked bree and so it was basically like puff pastry. 253 00:15:18,920 --> 00:15:21,000 Speaker 1: Then you put the brie in and then you put 254 00:15:21,200 --> 00:15:23,720 Speaker 1: some sort of like a preserve. I want to say 255 00:15:23,720 --> 00:15:26,320 Speaker 1: she used like apricot or something on top, fold it 256 00:15:26,360 --> 00:15:29,000 Speaker 1: all up, seal it in, put it in the oven. 257 00:15:29,800 --> 00:15:32,960 Speaker 1: I don't want to know how many calories I consumed 258 00:15:33,240 --> 00:15:38,360 Speaker 1: before we even went to Christmas or Thanksgiving dinner, don't 259 00:15:38,400 --> 00:15:39,800 Speaker 1: even want to know. But we would go over to 260 00:15:39,880 --> 00:15:43,040 Speaker 1: her house beforehand. Everybody would meet there and just house 261 00:15:43,080 --> 00:15:45,560 Speaker 1: one of these breaths. So I'm gonna recommend that as 262 00:15:45,640 --> 00:15:48,960 Speaker 1: a potential with your dessert. And then if you need 263 00:15:48,960 --> 00:15:51,520 Speaker 1: some wine to go with it. Trump Winery we have 264 00:15:51,680 --> 00:15:56,120 Speaker 1: award winning sparkling that's right, San Francisco Food and Wine Festival. 265 00:15:56,160 --> 00:15:59,280 Speaker 1: They do blind taste testings and when they reveal the 266 00:15:59,320 --> 00:16:03,000 Speaker 1: big winner and it is a Trump sparkling wine, you 267 00:16:03,120 --> 00:16:07,120 Speaker 1: better believe people's heads explode. Trump winery. You can get 268 00:16:07,120 --> 00:16:10,600 Speaker 1: that ship to your house to go along with your dessert, bree. 269 00:16:10,600 --> 00:16:13,040 Speaker 1: So there you have it all right, final question here, 270 00:16:14,600 --> 00:16:17,720 Speaker 1: how do you maintain a sense of normalcy for your children. 271 00:16:17,800 --> 00:16:20,200 Speaker 1: I think it's very important, you know. I don't want 272 00:16:20,200 --> 00:16:23,960 Speaker 1: my kids treated special and by any means. I just 273 00:16:24,040 --> 00:16:27,160 Speaker 1: want my kids to be as normal as humanly possible. 274 00:16:27,560 --> 00:16:30,800 Speaker 1: I put them in all kinds of sports around our community. 275 00:16:31,200 --> 00:16:34,880 Speaker 1: They play basketball, football, soccer, They go to jiu jitsu. 276 00:16:35,760 --> 00:16:39,240 Speaker 1: You know, these are kind of standard things for I 277 00:16:39,240 --> 00:16:43,200 Speaker 1: think most kids growing up. I don't want them ever treated, 278 00:16:43,720 --> 00:16:46,960 Speaker 1: you know, differently in school, save for the fact that 279 00:16:47,000 --> 00:16:50,120 Speaker 1: they do have people following them around. They have secret 280 00:16:50,200 --> 00:16:53,440 Speaker 1: service with them at all times. But we just try 281 00:16:53,480 --> 00:16:57,120 Speaker 1: to do things normally, and I think they have a 282 00:16:57,160 --> 00:17:01,480 Speaker 1: fairly wide variety of friends who come from different backgrounds 283 00:17:01,560 --> 00:17:05,240 Speaker 1: and have different experiences. When we go to my house, 284 00:17:05,640 --> 00:17:09,360 Speaker 1: my parents' house in North Carolina, my home, and they 285 00:17:09,400 --> 00:17:12,520 Speaker 1: hang out with their cousins there and their second cousins, 286 00:17:12,600 --> 00:17:17,680 Speaker 1: who are, you know, I would say, just standard Americans. 287 00:17:18,280 --> 00:17:20,919 Speaker 1: They know that's that's just life, and they love it. 288 00:17:20,960 --> 00:17:23,320 Speaker 1: And we don't even talk about the fact that maybe 289 00:17:23,320 --> 00:17:26,520 Speaker 1: it's different maybe not everybody's going to the White House. 290 00:17:26,840 --> 00:17:29,960 Speaker 1: It's just what it is. And I think for Eric 291 00:17:29,960 --> 00:17:32,240 Speaker 1: and I it's going to be really important as they 292 00:17:32,240 --> 00:17:34,480 Speaker 1: grow up, as they get a little bit older, both 293 00:17:34,520 --> 00:17:37,240 Speaker 1: of our kids are going to work. Absolutely, you want 294 00:17:37,240 --> 00:17:40,159 Speaker 1: to buy something, get a job. Already, our son sells 295 00:17:40,160 --> 00:17:44,320 Speaker 1: golf balls that he collects and cleans. He cleans up 296 00:17:44,320 --> 00:17:46,440 Speaker 1: on that. I'll tell you what he can sell. A 297 00:17:46,480 --> 00:17:50,359 Speaker 1: golf ball runs in the blood. Again, that's the entrepreneurial 298 00:17:50,359 --> 00:17:53,000 Speaker 1: spirit that we love to see in the Trump family. 299 00:17:53,119 --> 00:17:56,440 Speaker 1: So yeah, I mean, listen, you gotta You've got to 300 00:17:56,480 --> 00:17:59,119 Speaker 1: be honest with your kids. I think they understand, probably 301 00:17:59,200 --> 00:18:02,840 Speaker 1: at a certain point, exactly who their family is and 302 00:18:03,359 --> 00:18:07,240 Speaker 1: what that means. But that also means that you have 303 00:18:07,320 --> 00:18:10,280 Speaker 1: to uphold that name. You gotta work hard. That's all 304 00:18:10,320 --> 00:18:13,199 Speaker 1: part of being a Trump. We like hard work. We 305 00:18:13,359 --> 00:18:15,040 Speaker 1: like doing things big. But if you want to do 306 00:18:15,040 --> 00:18:17,800 Speaker 1: it big, gotta work extra for that. All right, That's 307 00:18:17,800 --> 00:18:20,280 Speaker 1: gonna do it for us. For this episode of Laura 308 00:18:20,359 --> 00:18:22,760 Speaker 1: Trump wanted for questioning, make sure you send me more. 309 00:18:22,840 --> 00:18:25,600 Speaker 1: These are your questions, even cheese questions. I'm here for 310 00:18:25,720 --> 00:18:28,359 Speaker 1: all of it. You can post under this episode or 311 00:18:28,359 --> 00:18:30,840 Speaker 1: you can post, of course, on any of our social media. 312 00:18:30,960 --> 00:18:32,960 Speaker 1: Make sure you like, subscribe here and follow, and I'll 313 00:18:32,960 --> 00:18:35,240 Speaker 1: see you back here next time for more of Lara Trump. 314 00:18:35,720 --> 00:18:36,560 Speaker 1: Wonder for questioning