1 00:00:02,600 --> 00:00:03,480 Speaker 1: K podcast. 2 00:00:03,880 --> 00:00:04,960 Speaker 2: Welcome to the podcast. 3 00:00:05,160 --> 00:00:06,440 Speaker 3: Thank you for welcoming us. 4 00:00:06,760 --> 00:00:10,600 Speaker 2: I thought that we needed to do a podcast on 5 00:00:10,720 --> 00:00:18,360 Speaker 2: this young woman who I have been seeing. I've been seeing. 6 00:00:21,239 --> 00:00:22,040 Speaker 3: How did you guys meet? 7 00:00:22,120 --> 00:00:25,160 Speaker 2: Well, that's why, that's why I needed to be a podcast, 8 00:00:25,200 --> 00:00:29,720 Speaker 2: because it's a really big deal. Officially needed someone to 9 00:00:30,200 --> 00:00:35,280 Speaker 2: didn't she confide. I knew we'd come back together eventually, 10 00:00:36,440 --> 00:00:42,479 Speaker 2: and then I just come together. Oh no, I didn't. 11 00:00:42,560 --> 00:00:45,479 Speaker 2: I mean, for the first time, we get out of context. 12 00:00:45,600 --> 00:00:50,120 Speaker 2: Out of context, Kate, Now I'm throwing Have you seen 13 00:00:50,240 --> 00:00:54,319 Speaker 2: the figure skater, the skater with the like the that's 14 00:00:54,360 --> 00:01:00,720 Speaker 2: just the guy you know what? No, Alissa lou No. Yeah, 15 00:01:00,760 --> 00:01:03,640 Speaker 2: her hair reminds me of a character on the front 16 00:01:03,680 --> 00:01:06,720 Speaker 2: of a book, children's book, and I cannot remember what 17 00:01:06,760 --> 00:01:10,240 Speaker 2: it is. Grug. Grug is a grug. It's not rue. 18 00:01:10,319 --> 00:01:13,320 Speaker 2: It looks like grug. She doesn't look like grug. Her 19 00:01:13,400 --> 00:01:19,880 Speaker 2: hair is peroxide, beautiful chestnut, peroxide, beautiful chestnut, like sea. 20 00:01:20,200 --> 00:01:22,920 Speaker 2: Did she have hair like that? You know, like the 21 00:01:24,680 --> 00:01:27,440 Speaker 2: mask that she used to wear to cover up? Oh? Yes, 22 00:01:27,880 --> 00:01:30,039 Speaker 2: that's exactly what all I could think about, But I 23 00:01:30,080 --> 00:01:33,360 Speaker 2: didn't name when I saw her photograph, she has made 24 00:01:33,480 --> 00:01:36,920 Speaker 2: history by winning two gold medals and figure skating, of course, 25 00:01:36,920 --> 00:01:39,240 Speaker 2: at the Winter Olympics. We've been looking and that's what 26 00:01:39,640 --> 00:01:44,360 Speaker 2: I mean about I've been seeing her because she's everywhere 27 00:01:44,400 --> 00:01:47,760 Speaker 2: on my Instagram and she's in the news and she's amazing, 28 00:01:48,200 --> 00:01:50,400 Speaker 2: don't get me wrong. But do you know who else 29 00:01:50,480 --> 00:01:53,800 Speaker 2: is amazing? Her dad? Have you? Do you know anything 30 00:01:53,840 --> 00:01:56,240 Speaker 2: about her dad? And that's what Yeah, that's what I 31 00:01:56,240 --> 00:01:59,360 Speaker 2: wanted to talk about. He's obviously a great dad. She 32 00:01:59,440 --> 00:02:02,640 Speaker 2: was put into figure skating early on and then and 33 00:02:02,680 --> 00:02:04,880 Speaker 2: then she quit figure skating and she came back to it. 34 00:02:05,120 --> 00:02:08,160 Speaker 2: But that's not the most interesting thing about it. He's 35 00:02:08,240 --> 00:02:13,280 Speaker 2: actually a single dad, Okay. And the children she has 36 00:02:13,320 --> 00:02:19,920 Speaker 2: four siblings, they have all been born by surrogate, I 37 00:02:19,919 --> 00:02:24,760 Speaker 2: think you say by surrogate. So he reached an age 38 00:02:25,080 --> 00:02:28,480 Speaker 2: and he thought, I'm going I want to have children, 39 00:02:28,639 --> 00:02:30,480 Speaker 2: I really want to have children. And they now live 40 00:02:30,480 --> 00:02:37,680 Speaker 2: in America and he had it so his sperm, I guess, 41 00:02:38,280 --> 00:02:42,640 Speaker 2: and uh egg Dona with a surrogate. There's like five 42 00:02:42,760 --> 00:02:47,320 Speaker 2: children in this family and this guy just decided he 43 00:02:47,360 --> 00:02:49,600 Speaker 2: didn't have a wife and now I'm going to have 44 00:02:49,600 --> 00:02:51,799 Speaker 2: a family of my own. And this is how I'm 45 00:02:51,840 --> 00:02:54,760 Speaker 2: going to do it. And they're all in the stands 46 00:02:54,800 --> 00:02:57,200 Speaker 2: there and they're all supporting her. I mean, I don't 47 00:02:57,240 --> 00:02:59,639 Speaker 2: know much else about the background, but I'm about to 48 00:02:59,639 --> 00:03:02,079 Speaker 2: go high tonight and fall into a kind of rabbit 49 00:03:02,080 --> 00:03:11,959 Speaker 2: warren of like Arthur Loo's siblings names Waterloo, Migueloo and I. 50 00:03:10,760 --> 00:03:12,400 Speaker 3: Jess, can I ask you've been through. 51 00:03:12,240 --> 00:03:14,440 Speaker 2: The donor program? Can you stay out of this? 52 00:03:15,200 --> 00:03:17,480 Speaker 3: I've got a real question to ask, Jess. Can you 53 00:03:17,639 --> 00:03:22,079 Speaker 3: choose activity or personality traits like that? Can you go, oh, 54 00:03:22,440 --> 00:03:23,600 Speaker 3: donor was a figure skater? 55 00:03:24,160 --> 00:03:25,320 Speaker 2: Yeah, it depends. 56 00:03:25,320 --> 00:03:27,360 Speaker 1: I think it depends which clinic you go through. But 57 00:03:27,400 --> 00:03:31,119 Speaker 1: we got all that information. We got job hobbies, if 58 00:03:31,160 --> 00:03:34,880 Speaker 1: the donor new CPR, did they have any other special skills? 59 00:03:34,920 --> 00:03:36,119 Speaker 1: Did they play an instrument? 60 00:03:36,200 --> 00:03:39,680 Speaker 2: What they'll find out if they're ducks at school or something? 61 00:03:40,200 --> 00:03:41,320 Speaker 2: Or education, well you. 62 00:03:41,320 --> 00:03:44,120 Speaker 1: Find out what sort of bachelor degree they have and 63 00:03:44,160 --> 00:03:46,839 Speaker 1: how high they've gone through the university system as well. 64 00:03:48,360 --> 00:03:50,920 Speaker 2: It doesn't go into hair color and icon. 65 00:03:51,040 --> 00:03:54,840 Speaker 1: Hair color, eye color, and then also all family history 66 00:03:55,400 --> 00:04:00,200 Speaker 1: of like aunts, uncles, what they died of, what what 67 00:04:00,320 --> 00:04:02,040 Speaker 1: their hobbies were, and everything like that. 68 00:04:02,200 --> 00:04:04,800 Speaker 3: You just is like if there's a guy and they go, oh, 69 00:04:04,840 --> 00:04:06,720 Speaker 3: you work at this donor here, he's been on the 70 00:04:06,720 --> 00:04:09,240 Speaker 3: doll for three years and he used to work as 71 00:04:09,280 --> 00:04:10,280 Speaker 3: an uber driver. 72 00:04:10,400 --> 00:04:12,360 Speaker 2: Does his and what would be wrong with that? 73 00:04:12,480 --> 00:04:16,840 Speaker 3: Absolutely nothing? But is that a lower cost than the university? 74 00:04:17,360 --> 00:04:19,880 Speaker 1: It all costs the same, but the stock goes quite 75 00:04:19,960 --> 00:04:21,600 Speaker 1: quickly supply. 76 00:04:22,240 --> 00:04:26,039 Speaker 2: That's exactly what this is. The Fitz Bring Pate Podcast. 77 00:04:26,160 --> 00:04:29,200 Speaker 3: For all great shows like this, download the Nova player, 78 00:04:29,360 --> 00:04:32,719 Speaker 3: find the App store or Google Play.