1 00:00:04,280 --> 00:00:06,320 Speaker 1: Welcome back to a Numbers game with Ryan Kuruduski. Thank 2 00:00:06,320 --> 00:00:10,320 Speaker 1: you guys for being here. On Thursday, I was invited 3 00:00:10,360 --> 00:00:13,200 Speaker 1: to the screening of the Malania Trump movie and I 4 00:00:13,240 --> 00:00:15,880 Speaker 1: wanted to give a review to you guys. I promise 5 00:00:15,960 --> 00:00:17,520 Speaker 1: it to my followers on Twitter, and I'm going to 6 00:00:17,520 --> 00:00:19,680 Speaker 1: say it for the podcast. I review to you guys 7 00:00:19,720 --> 00:00:21,960 Speaker 1: before I get into any numbers because I thought it 8 00:00:22,000 --> 00:00:26,880 Speaker 1: was very interesting. The movie is marketed as a documentary, 9 00:00:27,040 --> 00:00:30,560 Speaker 1: but it's not really a documentary, not in the traditional 10 00:00:30,560 --> 00:00:31,160 Speaker 1: sense of the word. 11 00:00:31,200 --> 00:00:31,360 Speaker 2: Now. 12 00:00:31,400 --> 00:00:34,800 Speaker 1: I love a good documentary, especially of documentaries that focus 13 00:00:34,800 --> 00:00:39,080 Speaker 1: on very important or very interesting people at crossroads in 14 00:00:39,120 --> 00:00:42,720 Speaker 1: their lives. The best political documentaries is like to Welcome 15 00:00:42,760 --> 00:00:45,280 Speaker 1: to Mine, Mitt about Mitt Romney in twenty twelve. That 16 00:00:45,360 --> 00:00:47,479 Speaker 1: opening scene where he realizes he's going to lose the 17 00:00:47,479 --> 00:00:53,720 Speaker 1: presidential election is devastating and incredible. The movie Wiener, about 18 00:00:53,760 --> 00:00:58,160 Speaker 1: Anthony Wiener's run for mayor, is phenomenal film work like 19 00:00:58,280 --> 00:01:03,320 Speaker 1: phenomenal because you see a truly sociopathic man at work, 20 00:01:03,360 --> 00:01:05,880 Speaker 1: You see him destroy his marriage in real time. You 21 00:01:05,920 --> 00:01:07,960 Speaker 1: see all this stuff, and I hope he comes on 22 00:01:08,000 --> 00:01:11,760 Speaker 1: the podcast. He's been invited many times, but it's so 23 00:01:11,760 --> 00:01:15,479 Speaker 1: so good. Best documentary about a famous person I've ever 24 00:01:15,520 --> 00:01:19,160 Speaker 1: seen is the movie about Joan Rivers, called a Piece 25 00:01:19,200 --> 00:01:23,080 Speaker 1: of Work. Her documentary that follows her during the year 26 00:01:23,120 --> 00:01:26,160 Speaker 1: that she won the Apprentice is absolute. I've probably seen 27 00:01:26,160 --> 00:01:29,720 Speaker 1: it fifty times. It's incredible, incredible, credible filmmaking. So I 28 00:01:29,800 --> 00:01:32,960 Speaker 1: come to this movie liking the genre. Right. I'm not 29 00:01:32,959 --> 00:01:35,320 Speaker 1: someone who's like just there because I was just invited, 30 00:01:35,319 --> 00:01:38,199 Speaker 1: although that's probably why I did go. But I enjoy 31 00:01:38,280 --> 00:01:41,479 Speaker 1: the genre. It's not additional documentary in the sense where 32 00:01:41,959 --> 00:01:45,479 Speaker 1: the subject is like having a day in the life, 33 00:01:45,560 --> 00:01:48,800 Speaker 1: and then the cameraman is asking questions and you just 34 00:01:49,160 --> 00:01:54,760 Speaker 1: see them following. Almost the entire movie is narrated over right, 35 00:01:55,080 --> 00:01:57,840 Speaker 1: Like almost the entire movie. Before I get critical, let 36 00:01:57,840 --> 00:01:59,240 Speaker 1: me see why I liked with the movie. First of all, 37 00:01:59,280 --> 00:02:02,040 Speaker 1: soundtrack was out of ten, a lot of Michael Jackson, 38 00:02:02,080 --> 00:02:05,600 Speaker 1: a lot of eighties music, tears for Fears, some fifties music. 39 00:02:05,840 --> 00:02:08,120 Speaker 1: Liked all of it. Soundtrack was definitely ten out of ten. 40 00:02:08,600 --> 00:02:10,639 Speaker 1: And she says that Michael Jackson's her favorite singer in 41 00:02:10,680 --> 00:02:12,600 Speaker 1: the movie, So there's I could tell that she put 42 00:02:12,639 --> 00:02:16,400 Speaker 1: her personal stamp on it. Secondly, there is a scene 43 00:02:16,440 --> 00:02:20,359 Speaker 1: in the swearing inn where it's behind the I've never 44 00:02:20,360 --> 00:02:23,080 Speaker 1: seen this before and I've seen tons of political footage. 45 00:02:23,400 --> 00:02:26,960 Speaker 1: It's a scene the swearing in behind the stage when 46 00:02:27,600 --> 00:02:30,080 Speaker 1: right before she's about to go on, and they pan 47 00:02:30,240 --> 00:02:34,040 Speaker 1: the camera and it's Kamala and Joe and their faces 48 00:02:34,560 --> 00:02:37,960 Speaker 1: worth the entire price of admission. Joe looks completely lost, 49 00:02:38,400 --> 00:02:42,639 Speaker 1: doesn't exactly know where he is, doesn't know how he feels. 50 00:02:42,760 --> 00:02:44,040 Speaker 1: You could tell he kind of doesn't want to be 51 00:02:44,080 --> 00:02:50,079 Speaker 1: next to Kamala. Kamala is a wash of anguish, anger, disappointment, 52 00:02:50,160 --> 00:02:53,240 Speaker 1: a three day bender. I mean, it's everything. I mean, 53 00:02:53,280 --> 00:02:56,520 Speaker 1: it is truly incredible. That could have been the entire movie. 54 00:02:56,520 --> 00:03:01,000 Speaker 1: That was just so great, And I actually can't believe 55 00:03:01,000 --> 00:03:02,960 Speaker 1: they allow themselves to be filmed and signed off on it, 56 00:03:03,000 --> 00:03:06,320 Speaker 1: because it was really shocking how that happened. And the 57 00:03:06,400 --> 00:03:09,280 Speaker 1: procedure was pretty interesting too, like how it takes it. 58 00:03:09,320 --> 00:03:12,000 Speaker 1: There's like five hours for them to switch for the 59 00:03:12,040 --> 00:03:15,080 Speaker 1: White House team to switch all the furniture between the presidences, 60 00:03:15,160 --> 00:03:17,160 Speaker 1: and like the order in which they have to go 61 00:03:17,240 --> 00:03:19,519 Speaker 1: in for the swearing, and oh, that's very fascinating, Like 62 00:03:19,560 --> 00:03:21,360 Speaker 1: if you like political stuff, like I found that to 63 00:03:21,360 --> 00:03:25,000 Speaker 1: be fascinating. She's barely in that aside from being there, like, 64 00:03:25,040 --> 00:03:28,280 Speaker 1: but she's not talking to anybody. And lastly, there was 65 00:03:28,320 --> 00:03:31,440 Speaker 1: a scene where she spoke to a woman who was 66 00:03:31,520 --> 00:03:33,960 Speaker 1: a prisoner in Gaza and her husband at the time 67 00:03:33,960 --> 00:03:36,160 Speaker 1: of the filming was still a prisoner in Gaza. That 68 00:03:36,320 --> 00:03:39,560 Speaker 1: was very emotional before I'll get some of my Christism 69 00:03:39,640 --> 00:03:41,280 Speaker 1: of the whole thing in one second. And then I 70 00:03:41,320 --> 00:03:44,160 Speaker 1: really enjoyed the scene where her she was to Saint 71 00:03:44,160 --> 00:03:47,000 Speaker 1: Patrick cathedralia candle for her deceased mother. It was nice 72 00:03:47,360 --> 00:03:49,880 Speaker 1: and they have a conversation with a priest. This is 73 00:03:50,040 --> 00:03:53,400 Speaker 1: where the movie kind of loses me and why I 74 00:03:53,400 --> 00:03:57,440 Speaker 1: didn't I didn't find it that interesting. Malania goes to 75 00:03:57,480 --> 00:04:00,000 Speaker 1: see this woman who was a prisoner in Gaza for months. 76 00:04:00,160 --> 00:04:02,840 Speaker 1: Her husband is still in prisoner Gaza. She's telling about 77 00:04:02,880 --> 00:04:04,640 Speaker 1: how she thought they were going to die in Gaza, 78 00:04:05,760 --> 00:04:09,240 Speaker 1: how her husband's gonna be suffocated to death, and it's 79 00:04:09,240 --> 00:04:11,720 Speaker 1: she's weeping and crying. She's like, I hope he knows 80 00:04:11,760 --> 00:04:14,040 Speaker 1: I love him and I root for him, and Malaney 81 00:04:14,080 --> 00:04:18,520 Speaker 1: embraces her. She go they leave the scene. Malania goes 82 00:04:18,560 --> 00:04:21,080 Speaker 1: to the elevator and you could see her take out 83 00:04:21,120 --> 00:04:25,120 Speaker 1: a tissue, just start wiping her eyes, and then they cut. Now, 84 00:04:25,160 --> 00:04:28,080 Speaker 1: I want to see her reaction afterwards. I want to 85 00:04:28,200 --> 00:04:31,360 Speaker 1: hear her not narrow because she's just narrating. No, I 86 00:04:31,400 --> 00:04:36,240 Speaker 1: want to hear her immediate conversation. Donald makes her laugh 87 00:04:36,279 --> 00:04:38,440 Speaker 1: a couple times in the movie. Their relationship is so 88 00:04:38,680 --> 00:04:42,240 Speaker 1: mysterious to a lot of people about how they feel, 89 00:04:42,240 --> 00:04:44,480 Speaker 1: but there's a lot of you could tell there's some 90 00:04:44,640 --> 00:04:48,360 Speaker 1: very tender moments. They don't talk. You don't ever really 91 00:04:48,400 --> 00:04:52,640 Speaker 1: hear what's making their relationship move, because there's something there 92 00:04:52,720 --> 00:04:54,640 Speaker 1: that's not just you know, a wealthy guy in a model. 93 00:04:54,760 --> 00:04:57,640 Speaker 1: She talks about about Baron. I wish she talked to Baron. 94 00:04:57,800 --> 00:04:59,800 Speaker 1: At one point, her and her data talking about her 95 00:05:00,000 --> 00:05:03,520 Speaker 1: see some mother. Her dad's like giving this long talk 96 00:05:03,560 --> 00:05:04,720 Speaker 1: and she just cuts them off. 97 00:05:04,760 --> 00:05:08,640 Speaker 2: In the narration, the whole thing is just narrated, and 98 00:05:09,320 --> 00:05:13,680 Speaker 2: she's so guarded. She's so guarded in every aspect of 99 00:05:13,680 --> 00:05:18,279 Speaker 2: her life that I don't think even her relationship with 100 00:05:18,440 --> 00:05:23,440 Speaker 2: her designers and her stylist Pierre, who's very funny in 101 00:05:23,480 --> 00:05:26,719 Speaker 2: the movie, she doesn't lose something like you know, sometimes 102 00:05:27,160 --> 00:05:29,480 Speaker 2: people who are the subject of documentaries or reality shows 103 00:05:29,480 --> 00:05:32,440 Speaker 2: to see it just I forget the camera's there. She 104 00:05:32,560 --> 00:05:35,159 Speaker 2: never forgets the cameras there. You could tell from the 105 00:05:35,200 --> 00:05:37,400 Speaker 2: second the film starts, at the second ends, she knows 106 00:05:37,440 --> 00:05:40,040 Speaker 2: where the camera is at all times. It's only shot 107 00:05:40,040 --> 00:05:41,919 Speaker 2: over for twenty days. Maybe if it was shot ow 108 00:05:41,920 --> 00:05:43,400 Speaker 2: of for a longer period of time, she would have 109 00:05:43,760 --> 00:05:45,080 Speaker 2: kind of loosened up a little bit. 110 00:05:45,200 --> 00:05:47,320 Speaker 1: I doubt it. I don't know whether it's her training 111 00:05:47,360 --> 00:05:50,400 Speaker 1: as a model, or being Eastern European, or being the 112 00:05:50,440 --> 00:05:53,800 Speaker 1: first Lady and receiving all the negative media coverage. I 113 00:05:53,839 --> 00:05:58,280 Speaker 1: thought it was important as a film because Malaney never 114 00:05:58,320 --> 00:06:01,160 Speaker 1: got a fair shake ever from the media. She never 115 00:06:01,200 --> 00:06:03,919 Speaker 1: got the Vogue cover, she never got the pampering that 116 00:06:03,960 --> 00:06:07,880 Speaker 1: other first ladies got, and she has had to take 117 00:06:07,920 --> 00:06:11,200 Speaker 1: it upon herself to create her own media. And that's 118 00:06:11,240 --> 00:06:14,240 Speaker 1: why the movie is important. And that's why I thought 119 00:06:14,279 --> 00:06:18,039 Speaker 1: that what she did, how she did it was important, 120 00:06:19,640 --> 00:06:21,960 Speaker 1: But it was it could have been so much better. 121 00:06:22,600 --> 00:06:26,279 Speaker 1: You know, her debriefing about her feelings at any point 122 00:06:26,320 --> 00:06:30,040 Speaker 1: about the entire thing would have been great. Talking about 123 00:06:30,080 --> 00:06:32,520 Speaker 1: how tired she was. I mean, she did when what 124 00:06:32,720 --> 00:06:36,240 Speaker 1: was a twenty two hour day, just really going into 125 00:06:37,240 --> 00:06:39,839 Speaker 1: ups and downs of it or feeling about the campaign. 126 00:06:40,160 --> 00:06:42,960 Speaker 1: There's also a really interesting conversation where they thought they 127 00:06:42,960 --> 00:06:45,520 Speaker 1: were going to do the swearing and outside they did 128 00:06:45,480 --> 00:06:48,919 Speaker 1: it inside. Remember that she said to the security team, 129 00:06:49,040 --> 00:06:51,840 Speaker 1: if it's outside, Baron will not get out of the car, 130 00:06:53,640 --> 00:06:56,200 Speaker 1: clearly out of security concerns. And they're talking a bit 131 00:06:56,240 --> 00:06:59,080 Speaker 1: about security. I would have loved to talk to her. 132 00:06:59,200 --> 00:07:01,800 Speaker 1: I hear her talk about her husband being shot. I 133 00:07:01,800 --> 00:07:04,120 Speaker 1: would love to have hurt her the threats of her 134 00:07:04,120 --> 00:07:06,680 Speaker 1: own mind. Like there's so much there that she is 135 00:07:06,760 --> 00:07:10,480 Speaker 1: witnessed too, that she's especially witnessed to, and we don't 136 00:07:10,480 --> 00:07:13,280 Speaker 1: get it, Like we don't get like the brief moments 137 00:07:13,320 --> 00:07:15,160 Speaker 1: we get her to loosen up a little bit are 138 00:07:15,280 --> 00:07:19,080 Speaker 1: like speckles in a very big, you know, rough, Like 139 00:07:19,120 --> 00:07:21,480 Speaker 1: there's speckles of diamonds in a very big rough. It's 140 00:07:21,560 --> 00:07:26,400 Speaker 1: not it's not enough to warn an entire two hour documentary. 141 00:07:27,600 --> 00:07:31,840 Speaker 1: And if you like fashion, hers that her dress being 142 00:07:31,880 --> 00:07:34,679 Speaker 1: designed for the Naugra Ball was pretty cool, but there's 143 00:07:34,720 --> 00:07:37,080 Speaker 1: not like there's not a ton there. It doesn't warn 144 00:07:37,120 --> 00:07:40,360 Speaker 1: a two hour documentary. It could have been like, you know, 145 00:07:41,360 --> 00:07:44,200 Speaker 1: three twenty five minute mini series on Netflix, like that 146 00:07:44,320 --> 00:07:47,160 Speaker 1: kind of thing. Overall, I wouldn't see it again. I 147 00:07:47,200 --> 00:07:51,040 Speaker 1: wouldn't play it again. I think that she so much, 148 00:07:51,320 --> 00:07:53,760 Speaker 1: especially the director she had. She had Brent Ratner, who 149 00:07:53,800 --> 00:07:58,880 Speaker 1: directed like really big movies as the director. I kind 150 00:07:58,920 --> 00:08:02,680 Speaker 1: of think that was that that was a lot of 151 00:08:02,720 --> 00:08:05,320 Speaker 1: missed opportunities. Also, one last thing before I go into 152 00:08:05,400 --> 00:08:11,320 Speaker 1: something else. Allegedly she got final approval and one thing 153 00:08:11,320 --> 00:08:14,640 Speaker 1: that she cut from the movie was Ivanka. Now, if 154 00:08:14,680 --> 00:08:17,840 Speaker 1: you remember, back in the first term administration, there was 155 00:08:18,120 --> 00:08:20,280 Speaker 1: law There was a lot of whispers the two of 156 00:08:20,320 --> 00:08:23,320 Speaker 1: them at Feuda that they weren't that close, that Ivanka 157 00:08:23,400 --> 00:08:25,200 Speaker 1: wanted to turn the east wing of the White House 158 00:08:25,200 --> 00:08:28,360 Speaker 1: into her own office, and Malania put akebachh on it. 159 00:08:28,920 --> 00:08:33,199 Speaker 1: And Ivanka is barely in this movie in the background, 160 00:08:33,280 --> 00:08:36,120 Speaker 1: if at all. I thought it was very, very very interesting. 161 00:08:36,160 --> 00:08:38,920 Speaker 1: There's no close up shots of her. Allegedly, scenes where 162 00:08:38,920 --> 00:08:43,719 Speaker 1: they were talking got cut. This is rumors. Maybe it's 163 00:08:43,720 --> 00:08:45,840 Speaker 1: not true. It's all alleged, but I thought it was 164 00:08:45,920 --> 00:08:49,080 Speaker 1: very interesting how little of it was there and how 165 00:08:49,280 --> 00:08:51,640 Speaker 1: invisible she was. I mean, Tiffany is seen in more 166 00:08:51,640 --> 00:08:55,000 Speaker 1: shots than Ivanka is, So that's I mean, that tells 167 00:08:55,040 --> 00:08:58,600 Speaker 1: you something. I don't know. I think she could have 168 00:08:58,640 --> 00:09:01,680 Speaker 1: offered a lot more. I think she's actually interesting what 169 00:09:01,760 --> 00:09:06,040 Speaker 1: she has witnessed to, and she won't share it. She 170 00:09:06,080 --> 00:09:08,040 Speaker 1: probably never will. She probably is just not that kind 171 00:09:08,080 --> 00:09:09,840 Speaker 1: of person who shares this thing. She's probably actually a 172 00:09:09,880 --> 00:09:12,960 Speaker 1: very private person who wound up in a very extraordinary situation. 173 00:09:13,160 --> 00:09:16,440 Speaker 1: So I think that's probably a preview what her post 174 00:09:16,960 --> 00:09:19,440 Speaker 1: presidency life is going to be. I doubt we're going 175 00:09:19,520 --> 00:09:21,720 Speaker 1: to see a lot of her out there. I think 176 00:09:21,760 --> 00:09:24,559 Speaker 1: she's going to become a much more private citizen, not 177 00:09:24,679 --> 00:09:27,480 Speaker 1: like Michelle Obama, who's like, I want to be respected 178 00:09:27,520 --> 00:09:29,880 Speaker 1: and no one talked about clothes. I think that she doesn't. 179 00:09:29,960 --> 00:09:31,600 Speaker 1: It's not going to be a wine fast. I think 180 00:09:31,600 --> 00:09:33,240 Speaker 1: she's just going to go back to being a private citizen. 181 00:09:33,280 --> 00:09:35,960 Speaker 1: I think she's a very private person. Anyway, that's my 182 00:09:36,040 --> 00:09:38,080 Speaker 1: take on the movie. That's how I felt about it. 183 00:09:38,080 --> 00:09:39,079 Speaker 1: I just want to give you guys. A lot of 184 00:09:39,080 --> 00:09:40,480 Speaker 1: people are saying, well, they want to see it, and 185 00:09:40,480 --> 00:09:42,880 Speaker 1: that was how I felt about it. Okay, up next, 186 00:09:42,920 --> 00:09:44,920 Speaker 1: I'm going to sit there and talk about the craziest 187 00:09:44,960 --> 00:09:48,560 Speaker 1: primary in America happening right now that you guys are 188 00:09:48,640 --> 00:09:54,360 Speaker 1: not paying attention to stay tuned. There is an election 189 00:09:54,480 --> 00:09:58,280 Speaker 1: going on in Florida. Florida is known. Florida's had a 190 00:09:58,280 --> 00:10:01,440 Speaker 1: good couple of years. They have definitely had a glow 191 00:10:01,520 --> 00:10:05,200 Speaker 1: up as a state, right But there's the long notion 192 00:10:05,320 --> 00:10:09,040 Speaker 1: of Florida man. Florida man acts chaotic. Why is Florida 193 00:10:09,080 --> 00:10:12,480 Speaker 1: man wrestling an alligator with a beer in his pocket? 194 00:10:12,559 --> 00:10:15,840 Speaker 1: Just because it's Florida, they just do crazy things. It 195 00:10:15,920 --> 00:10:20,680 Speaker 1: is part of the state's long and honored history. Well, 196 00:10:21,400 --> 00:10:24,000 Speaker 1: the interesting thing is there's an election going on in 197 00:10:24,040 --> 00:10:28,800 Speaker 1: Florida's nineteenth congressional district. There are no Florida men. Almost 198 00:10:28,880 --> 00:10:32,960 Speaker 1: every person who's running for Congress in this district is 199 00:10:33,000 --> 00:10:35,640 Speaker 1: not from the state and has either served office in 200 00:10:35,679 --> 00:10:38,439 Speaker 1: a different state or ran for office in a different state. 201 00:10:38,880 --> 00:10:42,400 Speaker 1: So the district Florida nineteen is around Fort Myers area. 202 00:10:42,559 --> 00:10:45,959 Speaker 1: Byron Donalds is the current representative, and he's obviously retiring 203 00:10:46,000 --> 00:10:48,199 Speaker 1: to go run for governor. He's got millions of dollars 204 00:10:48,280 --> 00:10:50,040 Speaker 1: in a Trump endorsement, and he's very likely to be 205 00:10:50,080 --> 00:10:52,240 Speaker 1: the next governor of Florida. Well, it's a district that 206 00:10:52,240 --> 00:10:54,920 Speaker 1: Trump won by twenty nine points, So the primary is 207 00:10:54,960 --> 00:10:58,240 Speaker 1: the whole election, right, there's no like the general doesn't 208 00:10:58,240 --> 00:11:02,200 Speaker 1: matter because a Democrat really can't in this district. Okay, 209 00:11:02,240 --> 00:11:05,600 Speaker 1: here's the list of people running for office in Florida's 210 00:11:05,640 --> 00:11:08,840 Speaker 1: nineteen Congression district. I'm going to go through the big names, right, 211 00:11:08,880 --> 00:11:11,160 Speaker 1: not everybody, because there's a coupleple that I've never heard of. 212 00:11:11,240 --> 00:11:14,440 Speaker 1: But first one is Madison Cawthorne. Now, for those of 213 00:11:14,480 --> 00:11:17,880 Speaker 1: you who don't remember Madison cawthorine is he's a I 214 00:11:17,880 --> 00:11:19,839 Speaker 1: guess he's a paraplegic. He's in a wheelchair. And he 215 00:11:19,960 --> 00:11:22,920 Speaker 1: served as a Member of Congress for North Carolina's eleventh 216 00:11:22,920 --> 00:11:26,199 Speaker 1: district for one term. Madison. I've met Madison a few 217 00:11:26,240 --> 00:11:28,160 Speaker 1: times and I've talked to him. He was very young 218 00:11:28,160 --> 00:11:30,320 Speaker 1: when he got elected, so I'm going to excuse a 219 00:11:30,360 --> 00:11:32,920 Speaker 1: bit of it. But he did not represent himself well 220 00:11:32,960 --> 00:11:35,480 Speaker 1: while member of Congress. He very famously said that he 221 00:11:35,559 --> 00:11:42,680 Speaker 1: was invited by senators to Coke int Coke confused Orgies, 222 00:11:44,520 --> 00:11:48,240 Speaker 1: and he never obviously, he never gave the name of 223 00:11:48,320 --> 00:11:51,720 Speaker 1: the senators who invited him to these coke fueled orgies. 224 00:11:51,880 --> 00:11:54,520 Speaker 1: I doubt it was Shuck Grassley at ninety one years old, 225 00:11:54,760 --> 00:11:58,840 Speaker 1: but who knows. They never went substantiated his claims. He 226 00:11:59,000 --> 00:12:03,560 Speaker 1: had controversies where he was old videos at surface where 227 00:12:03,559 --> 00:12:07,400 Speaker 1: he was naked in them. He had a rather ugly 228 00:12:07,480 --> 00:12:10,840 Speaker 1: divorce in the middle of it. It was all very messy. 229 00:12:10,880 --> 00:12:13,320 Speaker 1: He was a very messy person, which is why he 230 00:12:13,640 --> 00:12:16,920 Speaker 1: has emerged as a Floridian now not North Carolina, and 231 00:12:16,960 --> 00:12:20,120 Speaker 1: he's running for Congress. He's been trying to make this 232 00:12:20,880 --> 00:12:23,800 Speaker 1: re emergence of a political career happen for some time. 233 00:12:24,800 --> 00:12:26,720 Speaker 1: He was floateds and wanting to run for US Senate 234 00:12:26,720 --> 00:12:29,240 Speaker 1: in Florida. At one point that was what the word 235 00:12:29,240 --> 00:12:34,120 Speaker 1: on the street was among political consultants. Allegedly, Trump World 236 00:12:34,160 --> 00:12:36,360 Speaker 1: wants nothing to do with him and they don't want 237 00:12:36,440 --> 00:12:38,240 Speaker 1: him to be a member of Congress because he's a 238 00:12:38,280 --> 00:12:41,680 Speaker 1: bit of a distraction and in showing I don't know, 239 00:12:41,840 --> 00:12:44,600 Speaker 1: I never disliked him personally. I'll tell you guys a story. 240 00:12:45,080 --> 00:12:49,359 Speaker 1: There was this all a legend. Allegedly there was this billionaire, 241 00:12:50,160 --> 00:12:53,679 Speaker 1: very well known billionaire, and his billionaires when they get 242 00:12:53,679 --> 00:12:56,040 Speaker 1: involved in political stuff, right, what they do is they 243 00:12:56,040 --> 00:12:58,720 Speaker 1: have like a handler who handles all their political givings, 244 00:12:58,720 --> 00:13:03,199 Speaker 1: their political donations, and it's their gatekeeper. And this political 245 00:13:03,240 --> 00:13:06,760 Speaker 1: gatekeeper for this billionaire donor who is very well known. 246 00:13:06,960 --> 00:13:09,439 Speaker 1: They were at an event and I guess he didn't 247 00:13:09,480 --> 00:13:12,880 Speaker 1: know that the girlfriend of the gatekeeper was there, and 248 00:13:12,920 --> 00:13:16,840 Speaker 1: he got close to the girlfriend of the gatekeeper and 249 00:13:16,960 --> 00:13:21,440 Speaker 1: allegedly said to them, I want to bleep you against 250 00:13:21,520 --> 00:13:24,200 Speaker 1: a wall, to which the girlfriend said, how are you 251 00:13:24,200 --> 00:13:28,960 Speaker 1: going to do that? In Madison? Allegedly allegedly allegedly although 252 00:13:28,960 --> 00:13:32,200 Speaker 1: it was told me by the boyfriend of the of 253 00:13:32,280 --> 00:13:36,680 Speaker 1: the gatekeeper. So what I'm going to say is messy, 254 00:13:36,880 --> 00:13:38,840 Speaker 1: just a messy kind of person for the last couple 255 00:13:38,880 --> 00:13:42,120 Speaker 1: of years. Wish him well, don't know if he really 256 00:13:42,120 --> 00:13:44,680 Speaker 1: has that much of a chance. Second person running is 257 00:13:44,720 --> 00:13:47,880 Speaker 1: Chris Collins. Chris Collins is a much lower profile. He 258 00:13:47,920 --> 00:13:50,760 Speaker 1: was represented in New York's twenty seventh district in Upstate 259 00:13:50,840 --> 00:13:53,920 Speaker 1: New York from twenty thirteen to twenty nineteen. Why did 260 00:13:53,960 --> 00:13:56,319 Speaker 1: he quit in twenty nineteen the middle of his term, Well, 261 00:13:56,360 --> 00:14:00,640 Speaker 1: he was indicted by the FBI. He was charged for 262 00:14:00,679 --> 00:14:03,520 Speaker 1: insider trading and making false statements in twenty eighteen, he 263 00:14:03,600 --> 00:14:06,280 Speaker 1: pled guilty to some of those charges to s every 264 00:14:06,400 --> 00:14:09,760 Speaker 1: twenty six month prison term, and he was pardoned by 265 00:14:09,760 --> 00:14:13,640 Speaker 1: Trump three months into his term. He has since emerged 266 00:14:13,679 --> 00:14:17,920 Speaker 1: as a Floridian. He's a very wealthy man. He definitely 267 00:14:17,920 --> 00:14:21,840 Speaker 1: has the money to be somebody. But I don't know. 268 00:14:22,000 --> 00:14:25,480 Speaker 1: Resigning from Congress is a big thing. Next person is 269 00:14:25,520 --> 00:14:29,480 Speaker 1: one of named Olaf how am I, guys, I'm so 270 00:14:29,520 --> 00:14:31,680 Speaker 1: sorry Ola Is. I know I know her personally, I 271 00:14:31,720 --> 00:14:32,920 Speaker 1: only know her as old. I don't even know her 272 00:14:33,000 --> 00:14:37,320 Speaker 1: last name. Hallam I how watsame? How? What's fame? Whatever? 273 00:14:37,520 --> 00:14:39,720 Speaker 1: She's Uh, she's Persian, of some sort of Persian at 274 00:14:39,800 --> 00:14:42,200 Speaker 1: Leastern Ola. I've known her for quite some time. She 275 00:14:42,240 --> 00:14:47,120 Speaker 1: was a fashion designer. Uh. She she all of a 276 00:14:47,160 --> 00:14:50,840 Speaker 1: sudden decided she became I met her through our mutual 277 00:14:50,880 --> 00:14:55,560 Speaker 1: friend Gina Lauden, and I've known her socially for years. 278 00:14:55,720 --> 00:15:01,920 Speaker 1: She's very pleasant. She's had a very interesting life story. 279 00:15:02,120 --> 00:15:05,760 Speaker 1: She never talked ever about wanting to be a candidate 280 00:15:05,800 --> 00:15:08,960 Speaker 1: for congress or office ever, and then all of a 281 00:15:09,000 --> 00:15:13,000 Speaker 1: sudden announced she was running for Congress in twenty twenty. 282 00:15:13,200 --> 00:15:15,720 Speaker 1: She was a candidate in New York nineteenth district. She 283 00:15:15,760 --> 00:15:17,840 Speaker 1: lost the primary up in New York. Another New Yorker 284 00:15:17,880 --> 00:15:25,920 Speaker 1: running in Florida. I like her personally. I have never 285 00:15:26,200 --> 00:15:28,160 Speaker 1: heard her like you know, one of your political people 286 00:15:28,400 --> 00:15:31,880 Speaker 1: and you talk about issues and policy. Never, not one 287 00:15:31,920 --> 00:15:36,320 Speaker 1: time I've ever heard her talk about policy ever, So 288 00:15:36,440 --> 00:15:38,080 Speaker 1: I don't know. She has to assuk. She has a 289 00:15:38,120 --> 00:15:40,960 Speaker 1: support of a local state rep. So, but she would 290 00:15:41,000 --> 00:15:42,760 Speaker 1: need a lot of money to sit there and get there. 291 00:15:42,800 --> 00:15:45,760 Speaker 1: But once again, another New York running next Canada is 292 00:15:46,000 --> 00:15:50,360 Speaker 1: Catalina Loof. Catalina was a former advisor with the US 293 00:15:50,400 --> 00:15:53,840 Speaker 1: Department of Commerce. She ran for Congress. This is her 294 00:15:54,000 --> 00:15:57,680 Speaker 1: third run. Her first run was the Illinois fourteenth district 295 00:15:57,680 --> 00:16:00,640 Speaker 1: in twenty twenty. Her second run wasn't Illinois Alete District 296 00:16:00,640 --> 00:16:04,520 Speaker 1: in twenty twenty two. Her third run now is in Florida, 297 00:16:04,560 --> 00:16:07,880 Speaker 1: is nineteenth in twenty twenty six. She has some backing 298 00:16:07,920 --> 00:16:12,240 Speaker 1: of some pretty important people, which I think is why 299 00:16:12,280 --> 00:16:16,400 Speaker 1: she's going to be a real contender. I have talked 300 00:16:16,440 --> 00:16:19,560 Speaker 1: to Catalina over the phone. One of our mutual friends 301 00:16:19,560 --> 00:16:23,120 Speaker 1: asked me to have a conversation with her about policy. Personally, 302 00:16:23,440 --> 00:16:28,920 Speaker 1: my own opinion, she is not ready for prime time. 303 00:16:30,040 --> 00:16:32,560 Speaker 1: She really didn't know about a lot of issues, and 304 00:16:32,800 --> 00:16:36,200 Speaker 1: when she first ran in twenty nineteen, she wanted to 305 00:16:36,280 --> 00:16:40,320 Speaker 1: cast herself as the like anti AOC, And during my 306 00:16:40,360 --> 00:16:44,200 Speaker 1: conversation with her, I kept them saying, oh, or your family, 307 00:16:44,480 --> 00:16:46,760 Speaker 1: both sides of your family are like, I guess you know, 308 00:16:46,920 --> 00:16:49,120 Speaker 1: Hispanic of some sort. I think she's like, I think 309 00:16:49,120 --> 00:16:50,920 Speaker 1: she's Puerto Rica, but I know she says some sort 310 00:16:50,960 --> 00:16:53,520 Speaker 1: of Hispanic. And I said, but your last name is 311 00:16:53,560 --> 00:16:56,840 Speaker 1: not Hispanic at all, and she's like, well, my father's 312 00:16:56,840 --> 00:17:00,200 Speaker 1: family dates back from like the American Revolution. And I 313 00:17:00,280 --> 00:17:03,640 Speaker 1: was like, well, that's a way more interesting story than 314 00:17:04,119 --> 00:17:06,840 Speaker 1: you know, you were Puerto Rican or whatever and your 315 00:17:06,880 --> 00:17:09,560 Speaker 1: family immigrated and your mom like it wasn't like it 316 00:17:09,640 --> 00:17:12,600 Speaker 1: wasn't a true rags to riches story. It was kind 317 00:17:12,640 --> 00:17:15,680 Speaker 1: of like half baked a little bit. And I think 318 00:17:15,720 --> 00:17:18,000 Speaker 1: the story of being from a proud lineage of dates 319 00:17:18,000 --> 00:17:20,800 Speaker 1: back the American Revolution is way more interesting. She did not, 320 00:17:21,440 --> 00:17:24,240 Speaker 1: and she did not want to pursue it, and she 321 00:17:24,440 --> 00:17:27,600 Speaker 1: was just I was asking some questions about immigration, and man, 322 00:17:27,640 --> 00:17:31,480 Speaker 1: oh man, she did not know the issues. It was 323 00:17:31,520 --> 00:17:37,520 Speaker 1: painful at times. She's another running for office then there's 324 00:17:37,640 --> 00:17:41,640 Speaker 1: Jim Oberwise. He is a former state senator, also from 325 00:17:41,680 --> 00:17:44,639 Speaker 1: the state of Illinois. Jim has ran for office for 326 00:17:44,680 --> 00:17:46,320 Speaker 1: the US Senate in two thousand and two, for the 327 00:17:46,440 --> 00:17:48,360 Speaker 1: US Senate in two thousand and four, for the Governor's 328 00:17:48,400 --> 00:17:50,320 Speaker 1: office in two thousand and six, for Congress in two 329 00:17:50,359 --> 00:17:54,440 Speaker 1: thousand and eight, for the Illinois Republican State Central Committee 330 00:17:54,480 --> 00:17:56,639 Speaker 1: for the Illinois State Senate, for the US Senate in 331 00:17:56,680 --> 00:17:59,560 Speaker 1: twenty fourteen, for Congress in twenty twenty, and now for 332 00:17:59,600 --> 00:18:02,840 Speaker 1: Congress in twenty twenty six. Jim is almost eighty years 333 00:18:02,880 --> 00:18:06,119 Speaker 1: old and he is still running. The Boomer's got to 334 00:18:06,160 --> 00:18:08,800 Speaker 1: give it up a little bit. Like you've been running 335 00:18:08,840 --> 00:18:12,000 Speaker 1: for two decades. It's time to relax. You don't have to, 336 00:18:12,040 --> 00:18:14,080 Speaker 1: doesn't mean you have a place in the world, but 337 00:18:14,160 --> 00:18:17,040 Speaker 1: it's time to relax. Jim, all right, it's been twenty 338 00:18:17,160 --> 00:18:19,680 Speaker 1: years of you running for office. You've been successful a 339 00:18:19,720 --> 00:18:22,800 Speaker 1: few times for a state Senate, but maybe at eighty 340 00:18:23,560 --> 00:18:27,520 Speaker 1: being a freshman congressman is not your calling. My own 341 00:18:27,520 --> 00:18:30,560 Speaker 1: personal opinion, there's another person running, John Strand. I think 342 00:18:30,600 --> 00:18:33,040 Speaker 1: he is actually from Flora. His claim to fame was 343 00:18:33,080 --> 00:18:37,000 Speaker 1: he was a part in January sixth rider, and then 344 00:18:37,280 --> 00:18:41,920 Speaker 1: there was there is Jim Schwaltzel. He is the owner 345 00:18:41,960 --> 00:18:46,440 Speaker 1: of a local talk radio station, so he is also 346 00:18:46,480 --> 00:18:50,359 Speaker 1: a candid from office. I know people now is he 347 00:18:50,400 --> 00:18:55,080 Speaker 1: ready for prime time? I don't know. It's all so murky. 348 00:18:55,600 --> 00:18:59,119 Speaker 1: The Jim Alba Wise has tons of money the Illinoistate 349 00:18:59,160 --> 00:19:01,840 Speaker 1: Center and Jim show Schwaltzel House has a lot of money. 350 00:19:01,920 --> 00:19:04,840 Speaker 1: Both have over a million dollars. The polls show that 351 00:19:04,920 --> 00:19:08,359 Speaker 1: it is that no Canadate has over nine percent of 352 00:19:08,359 --> 00:19:11,360 Speaker 1: the vote. Chris Collins is leading with nine percent, Madison 353 00:19:11,400 --> 00:19:14,480 Speaker 1: Colfin with eight, Gym with eight, and then the other 354 00:19:14,560 --> 00:19:18,280 Speaker 1: Jim Schwartze with five, Jim Obiwise with eight. Right now, 355 00:19:18,320 --> 00:19:21,520 Speaker 1: I think everyone is running and waiting for this guy 356 00:19:21,600 --> 00:19:25,840 Speaker 1: named Carmen Marcino. He is the Lee County sheriff, very popular, 357 00:19:25,880 --> 00:19:30,200 Speaker 1: he's had interest in it. He's an elected official. He's 358 00:19:30,640 --> 00:19:34,520 Speaker 1: from Florida. But it actually raises the question, right for 359 00:19:34,640 --> 00:19:37,920 Speaker 1: especially for Florida and for Texas, that as they get 360 00:19:37,960 --> 00:19:41,360 Speaker 1: all these new Republican seats, especially in twenty thirty, there 361 00:19:41,440 --> 00:19:44,400 Speaker 1: is going to be eight new seats in those states 362 00:19:44,480 --> 00:19:49,720 Speaker 1: and they'll almost all be Republican, right, the mad dash 363 00:19:49,960 --> 00:19:53,160 Speaker 1: of elected officials from other states to move to those 364 00:19:53,200 --> 00:19:58,320 Speaker 1: states to run for those offices is going to be crazy. 365 00:19:58,880 --> 00:20:01,520 Speaker 1: And they're all going to be for different endorsements, either 366 00:20:01,560 --> 00:20:04,080 Speaker 1: from the past President Trump or from the current Republican 367 00:20:04,119 --> 00:20:07,240 Speaker 1: nominee or whomever. And it's all going to be bartering 368 00:20:07,280 --> 00:20:10,280 Speaker 1: and fighting for these open seats. In these states with 369 00:20:10,520 --> 00:20:14,200 Speaker 1: huge booming populations where a big percentage of the population 370 00:20:14,359 --> 00:20:19,280 Speaker 1: are transplants, the transplant vote is large. And it's really 371 00:20:19,320 --> 00:20:23,600 Speaker 1: a question to Texans, to Floridians, how much does it 372 00:20:23,920 --> 00:20:28,440 Speaker 1: matter that their state is represented by somebody who's from 373 00:20:28,520 --> 00:20:31,959 Speaker 1: there for more than twelve minutes right Like perfect example, 374 00:20:32,000 --> 00:20:34,760 Speaker 1: there's a district in New York, New York eleven, which 375 00:20:34,760 --> 00:20:38,360 Speaker 1: is the Staten Island Congressional District. You must be from 376 00:20:38,359 --> 00:20:41,000 Speaker 1: Staten Island to represent this district. Staten Islanders will not 377 00:20:41,119 --> 00:20:43,360 Speaker 1: vote from somebody on the Brooklyn side of the district. 378 00:20:43,359 --> 00:20:46,280 Speaker 1: They will not. It is very important that they are represented. 379 00:20:46,400 --> 00:20:48,280 Speaker 1: It is a big, big thing. You have to be 380 00:20:48,440 --> 00:20:51,560 Speaker 1: like born and bred in an Italian pizzeria. You have 381 00:20:51,600 --> 00:20:53,320 Speaker 1: to be born in the oven of an italianiz soria 382 00:20:53,320 --> 00:20:55,440 Speaker 1: on Staten Island to be a state island congressional candidate. 383 00:20:55,480 --> 00:20:59,200 Speaker 1: They mean something by it. I think the immense transplants 384 00:20:59,240 --> 00:21:03,120 Speaker 1: of it all really changes the relationship some of these 385 00:21:03,119 --> 00:21:06,959 Speaker 1: districts are going to have with their elected officials. Who 386 00:21:07,800 --> 00:21:09,959 Speaker 1: are they even there? Are they? I mean they're not 387 00:21:09,960 --> 00:21:12,439 Speaker 1: from there, but are they there at all? Liz Cheney 388 00:21:12,480 --> 00:21:15,040 Speaker 1: wasn't from Wyoming, right, so, like it's it's very obvious 389 00:21:15,080 --> 00:21:17,439 Speaker 1: she didn't. She never really lived in Wyoming. I think 390 00:21:17,480 --> 00:21:19,320 Speaker 1: she had a po box in a house, and she 391 00:21:19,359 --> 00:21:21,439 Speaker 1: her kids didn't go to school there. She wasn't from there, 392 00:21:21,480 --> 00:21:23,360 Speaker 1: she didn't know anybody there. She never sought a job there, 393 00:21:23,359 --> 00:21:25,800 Speaker 1: a business there. It's not unlikely, It's not like it 394 00:21:25,840 --> 00:21:28,840 Speaker 1: never ever happens. And there's a number of representatives who 395 00:21:28,880 --> 00:21:30,760 Speaker 1: don't live in their district and senators who don't live 396 00:21:30,760 --> 00:21:33,040 Speaker 1: in their district of or state. I think in high 397 00:21:33,080 --> 00:21:37,600 Speaker 1: transplant areas, though, where are super republican where you can 398 00:21:37,600 --> 00:21:40,600 Speaker 1: be elected representative for your entire life, It's going to 399 00:21:40,600 --> 00:21:44,760 Speaker 1: become much much more of a of a topic of 400 00:21:44,840 --> 00:21:47,399 Speaker 1: conversation and much more interesting. And I don't know how 401 00:21:47,400 --> 00:21:50,080 Speaker 1: Floridians want to approach it. I don't know Texas want 402 00:21:50,080 --> 00:21:53,240 Speaker 1: to approach it. This is a perfect example. If Carmei Martino, 403 00:21:53,400 --> 00:21:56,359 Speaker 1: the least Lee County sheriff, jumps in and blows everyone 404 00:21:56,400 --> 00:21:59,280 Speaker 1: out of the way, I think it's a good sign 405 00:21:59,320 --> 00:22:02,040 Speaker 1: of it. They're you know that they're little territorial if 406 00:22:02,040 --> 00:22:04,160 Speaker 1: they want someone who's been there for more than thirty seconds. 407 00:22:04,560 --> 00:22:06,840 Speaker 1: But this is ground zero for this. This is ground 408 00:22:06,880 --> 00:22:10,240 Speaker 1: zero for the case of is is a district open? 409 00:22:10,800 --> 00:22:14,840 Speaker 1: Because the state is just transplant central. Anyway. Next up 410 00:22:15,000 --> 00:22:20,520 Speaker 1: is ask Me Anything. This is the ask Me Anything segment. 411 00:22:20,520 --> 00:22:22,560 Speaker 1: If you want be part of the Ask Me Anything segment, 412 00:22:22,600 --> 00:22:25,720 Speaker 1: email me Ryan at Numbers Gamepodcast dot com. That's Ryan 413 00:22:25,720 --> 00:22:28,560 Speaker 1: at numbers Plural Game podcast dot com. I'm sorry that 414 00:22:28,560 --> 00:22:30,439 Speaker 1: that last segment was a little spicy. You know, you 415 00:22:30,480 --> 00:22:33,560 Speaker 1: try to keep it pretty clean for you guys, but 416 00:22:33,800 --> 00:22:35,159 Speaker 1: I had to tell you guys story because of that 417 00:22:35,240 --> 00:22:38,800 Speaker 1: was interesting. Okay, this one's from my old friend Peter Fummo. 418 00:22:39,080 --> 00:22:41,800 Speaker 1: Peter said, Ryan, have heard one commentator so that Trump 419 00:22:41,800 --> 00:22:44,000 Speaker 1: should focus on removing illegals from red states and he 420 00:22:44,000 --> 00:22:47,600 Speaker 1: would get cooperation and not surging into blue states where 421 00:22:47,720 --> 00:22:50,240 Speaker 1: confrontation is inevitable. I would assume that a red state's 422 00:22:50,280 --> 00:22:52,919 Speaker 1: first party would funnel illegals to Blue states and eventually 423 00:22:52,960 --> 00:22:58,159 Speaker 1: Trump would have them confront protests. Okay, let me just 424 00:22:58,320 --> 00:23:00,800 Speaker 1: answer this question before I read the whole thing. So 425 00:23:01,400 --> 00:23:03,680 Speaker 1: Trump is deporting more illegals from Red states than Blue 426 00:23:03,680 --> 00:23:07,040 Speaker 1: states because they work with ICE agents. This is not 427 00:23:07,080 --> 00:23:10,719 Speaker 1: true that red state's funnel illegals to Blue states. There 428 00:23:10,720 --> 00:23:13,520 Speaker 1: are millions of illegal aliens in Red states, a lot 429 00:23:13,720 --> 00:23:17,000 Speaker 1: millions and millions, and I don't know where you've heard. 430 00:23:17,080 --> 00:23:21,760 Speaker 1: I mean at the border. During Abbot's time, they were 431 00:23:21,880 --> 00:23:24,439 Speaker 1: shipping them to a few counties and blue states. But 432 00:23:24,480 --> 00:23:27,480 Speaker 1: it wasn't It wasn't like a big It wasn't a 433 00:23:27,480 --> 00:23:29,440 Speaker 1: big thing. Like didn't it didn't happen. It just doesn't 434 00:23:29,440 --> 00:23:32,120 Speaker 1: still go on like this is not kind of what's happening. 435 00:23:32,280 --> 00:23:34,360 Speaker 1: Trump is deporting more illegals from Red states than Blue 436 00:23:34,359 --> 00:23:36,320 Speaker 1: states because he's working with them, and he is deporting 437 00:23:36,320 --> 00:23:38,119 Speaker 1: them from Blue states as well, where he's met with 438 00:23:38,240 --> 00:23:41,960 Speaker 1: confrontations from protesters. So that whoever told you that, Peter 439 00:23:42,040 --> 00:23:46,080 Speaker 1: or whoever you listen to, is not telling an accurate story. Okay, 440 00:23:46,160 --> 00:23:49,520 Speaker 1: next question is from Mike. Mike gave a very long 441 00:23:49,560 --> 00:23:52,600 Speaker 1: summary about eating habits about Ozambic and Mike. I agree 442 00:23:52,640 --> 00:23:54,520 Speaker 1: with you, but it's it's too long of a rant 443 00:23:54,560 --> 00:23:56,960 Speaker 1: to read the question part of it. In one of 444 00:23:56,960 --> 00:23:59,040 Speaker 1: your episodes, you mentioned sixty percent of birth were in 445 00:23:59,080 --> 00:24:01,520 Speaker 1: Red states Trump one. This sounds impressed until I realized 446 00:24:01,520 --> 00:24:03,679 Speaker 1: that Trump on fifty percent of the electoral college. So 447 00:24:03,680 --> 00:24:06,040 Speaker 1: it makes this fifty sixty percent of births would be 448 00:24:06,040 --> 00:24:07,880 Speaker 1: from about fifty eight percent of the population. Is there 449 00:24:07,880 --> 00:24:11,520 Speaker 1: any further data suggesting conservatives are actually having more kids? 450 00:24:11,640 --> 00:24:14,200 Speaker 1: And if so, for how long has this trend been happening? 451 00:24:14,240 --> 00:24:18,000 Speaker 1: Any idea if this breakdown of what demographic multi racial 452 00:24:18,119 --> 00:24:22,240 Speaker 1: birds actually entail. Okay, so yes, Trump went about sixty 453 00:24:22,240 --> 00:24:25,439 Speaker 1: percent of the electoral college. That does not equate to 454 00:24:25,480 --> 00:24:29,840 Speaker 1: sixty percent of the overall population. Remember that, like, there 455 00:24:29,840 --> 00:24:32,200 Speaker 1: are not that many people who live in Alaska, North Dakota, 456 00:24:32,240 --> 00:24:38,919 Speaker 1: South Dakota, Wyoming, Montana, Nebraska, Kansas. It doesn't. It's not 457 00:24:39,000 --> 00:24:42,480 Speaker 1: a perfect equalizer of the overall population or the percentage. 458 00:24:42,480 --> 00:24:45,439 Speaker 1: Because he won fifty one percent of the popular vote, 459 00:24:45,520 --> 00:24:48,480 Speaker 1: right or for forty nine point nine percent of the 460 00:24:48,480 --> 00:24:52,360 Speaker 1: popular vote, whatever it was, It's not a perfect equal 461 00:24:53,080 --> 00:24:56,679 Speaker 1: So the sixty percent is actually very impressive. When you 462 00:24:56,720 --> 00:25:01,359 Speaker 1: look at US preliminary births for twenty twenty five, Trump 463 00:25:01,400 --> 00:25:05,280 Speaker 1: States had two point one eight million births to Hires 464 00:25:05,400 --> 00:25:10,679 Speaker 1: is one point four two million births. Hires States from 465 00:25:10,720 --> 00:25:12,840 Speaker 1: twenty twenty four to twenty twenty five decline by one 466 00:25:12,960 --> 00:25:15,720 Speaker 1: point twenty five percent. Trump States declined by point two 467 00:25:15,840 --> 00:25:20,520 Speaker 1: nine percent. And among white Americans the numbers were even 468 00:25:20,680 --> 00:25:25,040 Speaker 1: more one sided. Trump States had one point one six 469 00:25:25,240 --> 00:25:29,080 Speaker 1: five million children from white women. Harris States had point 470 00:25:29,200 --> 00:25:32,640 Speaker 1: at six hundred and twenty five thousand, so it's almost 471 00:25:32,640 --> 00:25:38,280 Speaker 1: two to one. It's enormously lopsided. Also take into account 472 00:25:38,520 --> 00:25:45,639 Speaker 1: that a lot of Trump states in Alabama, Georgia, North Carolina's, Mississippi, Louisiana, Tennessee, 473 00:25:46,119 --> 00:25:50,600 Speaker 1: Florida huge black populations and black fertility rate is seeing 474 00:25:51,040 --> 00:25:54,360 Speaker 1: the seeing a massive decline right now, like the decline 475 00:25:54,400 --> 00:25:57,560 Speaker 1: in fertility among Black Americans is something that should be studied. 476 00:25:57,800 --> 00:26:02,320 Speaker 1: From twenty sixteen to twenty twenty five, the births of 477 00:26:03,040 --> 00:26:06,680 Speaker 1: Black Americans from black mothers fell from four hundred and 478 00:26:06,760 --> 00:26:10,240 Speaker 1: sixty four thousand to three hundred and fifty four thousand. 479 00:26:10,240 --> 00:26:13,720 Speaker 1: It was a twenty four percent decline over the course 480 00:26:13,960 --> 00:26:18,280 Speaker 1: of nine years, all other births decline by nine percent. 481 00:26:18,320 --> 00:26:22,399 Speaker 1: It's a two point six ratio, right. That is the 482 00:26:22,440 --> 00:26:25,360 Speaker 1: source of CDC wonder. And this guy on twere named 483 00:26:25,400 --> 00:26:27,520 Speaker 1: Charlie Smirkley was the one who pointed out, very smart 484 00:26:27,520 --> 00:26:30,560 Speaker 1: guy when it comes to birth data. When you analyze 485 00:26:30,560 --> 00:26:34,400 Speaker 1: that the demographic with the fastest declining birth rates live 486 00:26:34,480 --> 00:26:38,159 Speaker 1: in Trump States and Trump had not sixty percent of 487 00:26:38,200 --> 00:26:40,680 Speaker 1: the overall population don't live in those fifty eight percent 488 00:26:40,720 --> 00:26:43,639 Speaker 1: of where Trump got the electoral college vote. That shows 489 00:26:43,880 --> 00:26:47,040 Speaker 1: the enormity of how the population is changing. And you 490 00:26:47,119 --> 00:26:48,720 Speaker 1: see this in another data. You see in data like 491 00:26:48,720 --> 00:26:50,879 Speaker 1: the Pew research of what is your goal in life? 492 00:26:51,080 --> 00:26:53,439 Speaker 1: A majority of young Trump's sporters they have a family, 493 00:26:53,520 --> 00:26:55,439 Speaker 1: or plurality of young Trump sporters they have a family, 494 00:26:55,440 --> 00:26:57,760 Speaker 1: have children. And it's not even in the top ten 495 00:26:58,280 --> 00:27:02,480 Speaker 1: for Democrats young Democrats. And there's just an opinion about 496 00:27:02,520 --> 00:27:05,160 Speaker 1: what values you have as far as as far as 497 00:27:05,240 --> 00:27:07,520 Speaker 1: children and family go. And I think that is going 498 00:27:07,560 --> 00:27:09,840 Speaker 1: to increase that lopside in this I mean the numbers 499 00:27:09,840 --> 00:27:12,760 Speaker 1: for the white mothers giving children giving birth is like 500 00:27:13,520 --> 00:27:16,440 Speaker 1: night and day from blue states to red states. As 501 00:27:16,440 --> 00:27:18,920 Speaker 1: far as what does it mean for multi racial. They're 502 00:27:19,040 --> 00:27:22,359 Speaker 1: looking at the race of the mother, right, They're not 503 00:27:22,440 --> 00:27:25,200 Speaker 1: looking at the race of the child. So when they 504 00:27:25,200 --> 00:27:30,080 Speaker 1: say multiracial, it means the mother is multiracial. That's what 505 00:27:30,119 --> 00:27:32,320 Speaker 1: the like. That's because so it's not like it's not 506 00:27:32,359 --> 00:27:35,399 Speaker 1: a perfect even even one two three, when it's like 507 00:27:35,520 --> 00:27:37,719 Speaker 1: when they looked at the data, and I haven't super 508 00:27:37,760 --> 00:27:39,959 Speaker 1: examined this, so take with a grain of salt. When 509 00:27:40,000 --> 00:27:42,800 Speaker 1: they looked with data of white mother, white father, black mother, 510 00:27:42,880 --> 00:27:45,200 Speaker 1: black father, the numbers are much much lower just because 511 00:27:45,200 --> 00:27:49,560 Speaker 1: there's a lot more interracial marriage and interracial you know, coupling, 512 00:27:49,760 --> 00:27:52,480 Speaker 1: So the numbers are much much different. When they say multiracial, 513 00:27:52,480 --> 00:27:54,800 Speaker 1: it's the race of the mother is multiracial, which is 514 00:27:54,840 --> 00:27:58,960 Speaker 1: why it's spiking second generation of births. Anyway, that's the 515 00:27:58,960 --> 00:28:00,399 Speaker 1: show for today. I hope you guys liked it. I 516 00:28:00,440 --> 00:28:03,560 Speaker 1: hope you guys liked my review of a movie for 517 00:28:03,600 --> 00:28:06,880 Speaker 1: the first time on this podcast. And then this congressional race, 518 00:28:06,880 --> 00:28:08,280 Speaker 1: which I am going to look at. I think I'm 519 00:28:08,280 --> 00:28:10,879 Speaker 1: going to start making one episode a week about a 520 00:28:10,920 --> 00:28:14,080 Speaker 1: primary election and why it is, or a primary election, 521 00:28:14,119 --> 00:28:16,919 Speaker 1: but a midterm election focus in on one, give you 522 00:28:16,920 --> 00:28:19,159 Speaker 1: guys the specifics of what matters and why it matters, 523 00:28:19,400 --> 00:28:21,760 Speaker 1: and hopefully have some of the candidates are running for office. 524 00:28:21,760 --> 00:28:22,840 Speaker 1: If you guys like that, I D give me an 525 00:28:22,840 --> 00:28:24,959 Speaker 1: email and tell me. And if you like this podcast, 526 00:28:25,040 --> 00:28:27,840 Speaker 1: please like and subscribe to the iHeartRadio app, Apple podcast, 527 00:28:27,880 --> 00:28:30,160 Speaker 1: wherever you get your podcast or on YouTube, please give 528 00:28:30,160 --> 00:28:32,560 Speaker 1: me a subscription there. It means a lot. Thank you, guys. 529 00:28:32,600 --> 00:28:35,200 Speaker 1: I will see you all on Wednesday.