1 00:00:00,760 --> 00:00:02,800 Speaker 1: Welcome to good game with Sarah Spain, where there's not 2 00:00:02,960 --> 00:00:05,720 Speaker 1: enough liquor in the world to drown our Diana Tarassi 3 00:00:05,760 --> 00:00:11,799 Speaker 1: related sorrows DT. The White Mamba, the Goat done. We 4 00:00:11,880 --> 00:00:15,240 Speaker 1: knew it was coming, and we're still not ready. It's Thursday, 5 00:00:15,320 --> 00:00:18,120 Speaker 1: February twenty seventh, and on today's show, Big Citrus will 6 00:00:18,120 --> 00:00:20,360 Speaker 1: convene to give our reactions to the news of Dinah 7 00:00:20,400 --> 00:00:23,000 Speaker 1: Tarassi hanging them up. We'll clone ourselves for a game 8 00:00:23,040 --> 00:00:25,079 Speaker 1: of one on many and talk miniature horses and a 9 00:00:25,120 --> 00:00:27,800 Speaker 1: passion for pities, plus a circle of l's and our 10 00:00:27,840 --> 00:00:30,680 Speaker 1: crystal ball gets called upon again. It's all coming up 11 00:00:30,760 --> 00:00:40,959 Speaker 1: right after this Welcome back slices. Here's what you need 12 00:00:41,000 --> 00:00:45,879 Speaker 1: to know today. We'll start with DT. Diana Tarassi, the 13 00:00:46,000 --> 00:00:49,159 Speaker 1: WNBA's all time leading scorer and all time leader in 14 00:00:49,240 --> 00:00:52,640 Speaker 1: mad three pointers, has announced her retirement after twenty seasons. 15 00:00:52,880 --> 00:00:56,320 Speaker 1: Tarassi told Time Magazine of the decision, quote mentally and physically, 16 00:00:56,560 --> 00:00:58,959 Speaker 1: I'm just full. That's probably the best way I can 17 00:00:59,000 --> 00:01:02,600 Speaker 1: describe it. Full, and I'm happy. End quote. Last August, 18 00:01:02,640 --> 00:01:05,680 Speaker 1: Tarassi became the first basketball player to win six Olympic 19 00:01:05,720 --> 00:01:08,440 Speaker 1: gold medals. She led the Phoenix Mercury, which drafted her 20 00:01:08,520 --> 00:01:11,120 Speaker 1: number one in two thousand and four, to WNBA championships 21 00:01:11,120 --> 00:01:13,000 Speaker 1: in two thousand and seven, two thousand and nine, and 22 00:01:13,040 --> 00:01:17,240 Speaker 1: twenty fourteen. A five time WNBA scoring champion and fourteen 23 00:01:17,360 --> 00:01:20,880 Speaker 1: time All WNBA selection, Tarassei was League MVP in two 24 00:01:20,920 --> 00:01:24,440 Speaker 1: thousand and nine and Finals MVP in nine and twenty fourteen. 25 00:01:24,800 --> 00:01:26,600 Speaker 2: A winner at every level, she led. 26 00:01:26,480 --> 00:01:29,759 Speaker 1: The Yukon Huskies to three consecutive national titles from two 27 00:01:29,800 --> 00:01:32,120 Speaker 1: thousand and two to two thousand and four, including an 28 00:01:32,200 --> 00:01:34,400 Speaker 1: undefeated season The Goat. 29 00:01:34,680 --> 00:01:36,360 Speaker 2: There will never be another DT. 30 00:01:37,200 --> 00:01:39,760 Speaker 1: To college hoops, where we've got sixteen ranked teams in 31 00:01:39,800 --> 00:01:43,240 Speaker 1: action tonight, including new number one Texas. The Longhorns travel 32 00:01:43,280 --> 00:01:44,600 Speaker 1: to Mississippi. 33 00:01:43,959 --> 00:01:45,440 Speaker 2: State for an SEC matchup. 34 00:01:45,640 --> 00:01:48,160 Speaker 1: That game tips off at seven thirty pm Eastern. We'll 35 00:01:48,160 --> 00:01:50,280 Speaker 1: link to the full college hoops schedule in the show. 36 00:01:50,040 --> 00:01:51,559 Speaker 2: Notes to Soccer. 37 00:01:51,600 --> 00:01:54,080 Speaker 1: We're recording this episode before the final match of the 38 00:01:54,120 --> 00:01:56,560 Speaker 1: She believes Cup a must win for the US women's 39 00:01:56,640 --> 00:01:59,320 Speaker 1: national team versus Japan, but will be sure to react 40 00:01:59,360 --> 00:02:02,960 Speaker 1: to all things she's and believes is in a future show. 41 00:02:03,520 --> 00:02:06,440 Speaker 1: In the meantime, let's pull out that crystal ball again, 42 00:02:06,480 --> 00:02:09,640 Speaker 1: shall we It's telling us the US wins the game, 43 00:02:10,520 --> 00:02:13,160 Speaker 1: but Japan wins the cup. Wait that can't be right, 44 00:02:13,639 --> 00:02:16,079 Speaker 1: hold on, hold on, this is a magic eight ball. 45 00:02:16,200 --> 00:02:20,400 Speaker 2: I grab the wrong thing. We got to take a 46 00:02:20,480 --> 00:02:22,200 Speaker 2: quick break. When we come back, it's time to open 47 00:02:22,280 --> 00:02:23,000 Speaker 2: up the mail bag. 48 00:02:30,040 --> 00:02:33,320 Speaker 1: All right, slices, It's time for a little big citrus 49 00:02:33,440 --> 00:02:36,200 Speaker 1: mail bag time. Y'all have said just so many questions, 50 00:02:36,240 --> 00:02:37,640 Speaker 1: so we're gonna try to get through a bunch of 51 00:02:37,639 --> 00:02:39,640 Speaker 1: them today and then a whole bunch more in a 52 00:02:39,639 --> 00:02:42,600 Speaker 1: future episode. But before we can even get to all 53 00:02:42,600 --> 00:02:45,320 Speaker 1: of the things that you, Slices asked us, I just 54 00:02:45,360 --> 00:02:47,079 Speaker 1: need a quick check in on everybody on this day 55 00:02:47,080 --> 00:02:48,880 Speaker 1: and a Tarassie news. We're gonna have plenty of time 56 00:02:49,200 --> 00:02:53,360 Speaker 1: to talk about this, but meiche first reaction. 57 00:02:54,200 --> 00:02:55,519 Speaker 2: First reaction is. 58 00:02:55,480 --> 00:02:57,959 Speaker 3: I knew it was coming, Like in my bones. I 59 00:02:58,000 --> 00:03:00,120 Speaker 3: knew it was gonna happen, as I think we all did. 60 00:03:00,480 --> 00:03:02,040 Speaker 2: But DT is. 61 00:03:02,000 --> 00:03:04,359 Speaker 3: An icon and the game is never going to be 62 00:03:04,400 --> 00:03:06,840 Speaker 3: the same without her. We're gonna see different iterations of 63 00:03:07,160 --> 00:03:08,840 Speaker 3: greatness come after. 64 00:03:08,600 --> 00:03:11,080 Speaker 2: Her, but the game will never be the same. 65 00:03:11,360 --> 00:03:14,280 Speaker 3: I love you, DT, I appreciate everything you've done Man 66 00:03:14,639 --> 00:03:17,720 Speaker 3: legend Legend alex Man. 67 00:03:17,800 --> 00:03:18,680 Speaker 4: I feel the same way. 68 00:03:18,760 --> 00:03:20,919 Speaker 5: I love the detail in the time story about how 69 00:03:20,960 --> 00:03:23,200 Speaker 5: on January first, that's when she kind of locks in 70 00:03:23,240 --> 00:03:25,560 Speaker 5: for the next season, and this year, on January first, 71 00:03:25,560 --> 00:03:27,160 Speaker 5: she just didn't feel it, and I was like, we 72 00:03:27,240 --> 00:03:29,960 Speaker 5: could have gotten some cheerleaders out there, you know, get 73 00:03:29,960 --> 00:03:31,280 Speaker 5: her psyched up and ready to go. 74 00:03:31,720 --> 00:03:32,080 Speaker 2: Yeah. 75 00:03:32,280 --> 00:03:35,440 Speaker 1: I feel like, you know, last year, we were all 76 00:03:35,520 --> 00:03:38,160 Speaker 1: kind of like, oh, no, don't do it, and then 77 00:03:38,200 --> 00:03:40,000 Speaker 1: when they made that big video, we were like, oh, 78 00:03:40,000 --> 00:03:43,240 Speaker 1: it's over. Like it's over, but we just needed the 79 00:03:43,280 --> 00:03:44,240 Speaker 1: official confirmation. 80 00:03:45,000 --> 00:03:46,720 Speaker 2: I'm happy for her if it was time. 81 00:03:46,880 --> 00:03:49,040 Speaker 1: I'm sad for us for not getting to watch her play, 82 00:03:49,080 --> 00:03:52,040 Speaker 1: but I'm also sad because I'm not convinced that like 83 00:03:52,120 --> 00:03:55,560 Speaker 1: the Sue Birds and Megan Rappinos and others, she will 84 00:03:55,600 --> 00:03:57,360 Speaker 1: be visible to us as often. 85 00:03:57,400 --> 00:04:01,240 Speaker 2: Oh DT doesn't like yeah there, So, like. 86 00:04:02,000 --> 00:04:03,920 Speaker 5: I think she said she's doing the final four show 87 00:04:03,920 --> 00:04:06,760 Speaker 5: at Sue though, which is a victory I want to celebrate. 88 00:04:07,040 --> 00:04:09,480 Speaker 1: I completely agree, but I don't think I could get 89 00:04:09,520 --> 00:04:12,520 Speaker 1: by on one Final four show a year. We're gonna 90 00:04:12,560 --> 00:04:15,160 Speaker 1: need DT to figure out a little bit more. Love 91 00:04:15,160 --> 00:04:16,880 Speaker 1: of the Spotlight for all of our sake. 92 00:04:17,240 --> 00:04:20,120 Speaker 5: Also just want to mention super happy that Diana got 93 00:04:20,120 --> 00:04:22,359 Speaker 5: a big retirement story in time. But I don't know 94 00:04:22,360 --> 00:04:24,400 Speaker 5: if you guys felt this way. As I was reading through, 95 00:04:24,520 --> 00:04:27,039 Speaker 5: I was like so many men, it just felt like 96 00:04:27,080 --> 00:04:29,839 Speaker 5: it was centered towards a men's basketball audience. And I 97 00:04:29,880 --> 00:04:32,640 Speaker 5: went through an accounted only five sources were quoted, one 98 00:04:32,640 --> 00:04:36,200 Speaker 5: of them being Diana in zero of her WNBA teammates 99 00:04:36,320 --> 00:04:39,320 Speaker 5: or coaches from a twenty year career, and I was like, 100 00:04:39,360 --> 00:04:43,000 Speaker 5: that just would not fly for an MNBA retirement story. 101 00:04:43,120 --> 00:04:46,480 Speaker 5: Talking to the NBA commissioner and Lebron James instead of 102 00:04:46,520 --> 00:04:50,320 Speaker 5: the WNBA commissioner and Asia Wilson, for example, just kind 103 00:04:50,360 --> 00:04:50,760 Speaker 5: of wild. 104 00:04:50,960 --> 00:04:53,440 Speaker 1: That's such a great point, because yeah, it's probably the 105 00:04:53,480 --> 00:04:57,200 Speaker 1: author believing there's more heft to hearing from those people 106 00:04:57,240 --> 00:04:58,839 Speaker 1: and that's proof of how great she is. 107 00:04:59,400 --> 00:05:01,440 Speaker 2: But that's not how it works in the space. Like, 108 00:05:01,480 --> 00:05:02,080 Speaker 2: it's fine if you. 109 00:05:02,080 --> 00:05:04,039 Speaker 1: Want to have those voices as well to prove she 110 00:05:04,160 --> 00:05:06,440 Speaker 1: was so great that went beyond the w and beyond 111 00:05:06,440 --> 00:05:08,760 Speaker 1: women's hoops, but you should also be talking to the 112 00:05:08,760 --> 00:05:11,120 Speaker 1: people who actually played alongside her and to the biggest, 113 00:05:11,320 --> 00:05:12,279 Speaker 1: most powerful voices. 114 00:05:12,279 --> 00:05:14,400 Speaker 2: In women's hoops too. That's such a great point. 115 00:05:14,400 --> 00:05:16,520 Speaker 1: Al all right, we'll be spending plenty more time talking 116 00:05:16,560 --> 00:05:18,760 Speaker 1: about Dana Trossi in future shows. But let's get to 117 00:05:18,800 --> 00:05:22,400 Speaker 1: some of your questions. Slices from Nora Foudi. My fiance 118 00:05:22,560 --> 00:05:24,440 Speaker 1: asked me this yesterday, and I just have to ask 119 00:05:24,520 --> 00:05:27,560 Speaker 1: all of you how many clones of you could beat 120 00:05:27,640 --> 00:05:30,840 Speaker 1: Phee one v one? This is, of course ANFISA Collier 121 00:05:31,279 --> 00:05:34,960 Speaker 1: winner of the unrivaled one on one. My future bet 122 00:05:35,040 --> 00:05:39,320 Speaker 1: for WNBA MVP next season, Alex, how many clones of 123 00:05:39,360 --> 00:05:41,080 Speaker 1: you would be required to beat Fee? 124 00:05:41,960 --> 00:05:44,279 Speaker 5: Okay, I'm going to do a Kapa answer and say one, 125 00:05:44,480 --> 00:05:47,400 Speaker 5: because I don't think that any number could successfully beat her, 126 00:05:47,560 --> 00:05:48,919 Speaker 5: Like I could have one hundred of me on the 127 00:05:48,920 --> 00:05:50,520 Speaker 5: court still not going to win. And so I'm going 128 00:05:50,560 --> 00:05:53,760 Speaker 5: to say one, because then it's the least embarrassing, right. 129 00:05:53,600 --> 00:05:55,040 Speaker 2: And then you could just say I played her one 130 00:05:55,040 --> 00:05:56,240 Speaker 2: on one. End of story. 131 00:05:56,279 --> 00:05:59,120 Speaker 5: Yeah, exactly, bragging rights. No follow up questions? 132 00:06:01,120 --> 00:06:01,680 Speaker 2: What about you? 133 00:06:01,880 --> 00:06:04,239 Speaker 3: First of all, Alex, I think you're selling yourself short. 134 00:06:05,120 --> 00:06:07,800 Speaker 2: One hundred clones. One hundred clones is not. 135 00:06:07,960 --> 00:06:10,120 Speaker 3: I think maybe you need like five, you know, just 136 00:06:10,320 --> 00:06:12,600 Speaker 3: just have her going in a circle for me, I 137 00:06:12,640 --> 00:06:14,640 Speaker 3: need me and one other clone. That two man game 138 00:06:14,680 --> 00:06:17,080 Speaker 3: about to go crazy. I'm telling you. I'm telling you. 139 00:06:17,600 --> 00:06:19,479 Speaker 3: We haven't talked a lot about what I can do 140 00:06:19,600 --> 00:06:21,200 Speaker 3: on the court. But I can hit it three and 141 00:06:21,240 --> 00:06:22,000 Speaker 3: I can make a layup. 142 00:06:22,000 --> 00:06:24,159 Speaker 2: That's all I need, right just space. Okay, there's only 143 00:06:24,200 --> 00:06:27,320 Speaker 2: one of her. I mean you need to play some defense. 144 00:06:27,800 --> 00:06:29,760 Speaker 3: I mean, you know, I just got to hit that 145 00:06:29,800 --> 00:06:32,080 Speaker 3: first shot. If we're doing it like Unrival did, I 146 00:06:32,120 --> 00:06:33,640 Speaker 3: just got to hit that first shot top of the 147 00:06:33,680 --> 00:06:36,160 Speaker 3: key so I can get possession and we're good after that. 148 00:06:36,279 --> 00:06:38,320 Speaker 2: Also, I can play two on one defense. I could 149 00:06:38,320 --> 00:06:38,680 Speaker 2: play two. 150 00:06:38,800 --> 00:06:40,640 Speaker 1: But if you don't want your plan for that fade 151 00:06:40,640 --> 00:06:41,560 Speaker 1: away Jay and the paint. 152 00:06:41,880 --> 00:06:45,960 Speaker 3: I'm a fowler. I know I said I wanted to 153 00:06:45,960 --> 00:06:48,040 Speaker 3: foul limit, but not when I'm playing. I'm a fowler, 154 00:06:48,520 --> 00:06:48,960 Speaker 3: straight up. 155 00:06:49,040 --> 00:06:53,159 Speaker 2: Okay. So I'm old, my spine is dust, but I have. 156 00:06:53,120 --> 00:06:56,680 Speaker 1: Pride and I will always have pride. So I'm gonna 157 00:06:56,680 --> 00:06:59,120 Speaker 1: say three of me, period, three of me. She's not 158 00:06:59,160 --> 00:07:00,000 Speaker 1: that much taller than me. 159 00:07:00,360 --> 00:07:03,599 Speaker 2: I'll just put my giant arms up and pray. Okay. 160 00:07:04,279 --> 00:07:07,920 Speaker 1: Next question from Pamela Mudway Sarah, where does your love 161 00:07:07,960 --> 00:07:10,200 Speaker 1: for pity mixes come from? I can't get enough of 162 00:07:10,240 --> 00:07:11,960 Speaker 1: the photos you posted your pups, so I was wondering 163 00:07:11,960 --> 00:07:16,480 Speaker 1: where it all started. Wasn't super intentional? I love almost 164 00:07:16,520 --> 00:07:18,240 Speaker 1: all pups. I'm not gonna name the ones that aren't 165 00:07:18,240 --> 00:07:20,200 Speaker 1: my favorites. I still love them, but I don't want 166 00:07:20,200 --> 00:07:22,800 Speaker 1: to insult anyone's dogs. I'll just say that we knew 167 00:07:22,800 --> 00:07:25,400 Speaker 1: we wanted to rescue our first dog. We went in 168 00:07:25,480 --> 00:07:27,680 Speaker 1: because I had this idea of a half Lab half 169 00:07:27,680 --> 00:07:29,840 Speaker 1: German Shepherd mix, because I had met one once years 170 00:07:29,880 --> 00:07:32,080 Speaker 1: before and almost adopted it in an ill advised move 171 00:07:32,120 --> 00:07:34,080 Speaker 1: that wouldn't have worked out because I had no money 172 00:07:34,120 --> 00:07:36,360 Speaker 1: or time. So for like years after that, I had 173 00:07:36,360 --> 00:07:37,600 Speaker 1: that mix in my head. So we went to go 174 00:07:37,640 --> 00:07:40,760 Speaker 1: meet a dog called Sunshine at Anti Cruelty in Chicago, 175 00:07:40,840 --> 00:07:44,600 Speaker 1: and my dog, Fletch was one crate above Sunshine. And 176 00:07:44,640 --> 00:07:46,640 Speaker 1: I saw Fletch with his little white fur and his 177 00:07:46,880 --> 00:07:48,880 Speaker 1: black ears and his little spots, and I was like, 178 00:07:49,240 --> 00:07:53,800 Speaker 1: Sunshine's over, We're getting this dog. And Fletch, as it 179 00:07:53,840 --> 00:07:55,880 Speaker 1: turns out, probably is a pit mix too, but Fletch 180 00:07:55,880 --> 00:07:58,200 Speaker 1: looks more like a cattle dog and then after we 181 00:07:58,240 --> 00:08:01,880 Speaker 1: adopted Fletch, we became so cessed. We became those weird 182 00:08:01,880 --> 00:08:04,880 Speaker 1: dog people, especially with adopting that we started reaching out 183 00:08:04,920 --> 00:08:06,720 Speaker 1: to all the orgs in Chicago to figure out like 184 00:08:06,720 --> 00:08:09,520 Speaker 1: what dogs needed to be fostered and who we could 185 00:08:09,520 --> 00:08:12,560 Speaker 1: help with, which, you know, rescue organizations, and there's so 186 00:08:12,600 --> 00:08:15,160 Speaker 1: many pit based ones that we got our first pit, 187 00:08:15,520 --> 00:08:17,559 Speaker 1: and then from that it was kind of a rap. 188 00:08:17,840 --> 00:08:20,000 Speaker 1: Was like, there's so many of them in the shelters. 189 00:08:20,000 --> 00:08:22,160 Speaker 1: They're so loyal and wonderful, and there's such a bad 190 00:08:22,160 --> 00:08:26,440 Speaker 1: stigma around them. So it's pits, pits on pits on pits, 191 00:08:27,160 --> 00:08:27,920 Speaker 1: and we love them. 192 00:08:28,440 --> 00:08:30,280 Speaker 2: Y'all don't have dogs, do you? I think I would 193 00:08:30,320 --> 00:08:31,760 Speaker 2: have heard about it, alex As Kats. 194 00:08:32,200 --> 00:08:35,080 Speaker 3: Nah, no dogs over here. My mom is actually deathly 195 00:08:35,080 --> 00:08:37,839 Speaker 3: afraid of dogs. She's been bit by seven different ones 196 00:08:37,880 --> 00:08:41,199 Speaker 3: in her lifetime. I'll talk too much more about that. Personally, 197 00:08:41,280 --> 00:08:43,720 Speaker 3: I love animals. I've never been able to have a 198 00:08:43,720 --> 00:08:45,960 Speaker 3: dog or a cat. I had a fish once my 199 00:08:46,000 --> 00:08:48,080 Speaker 3: cousin killed it. But yeah, no, no dogs. 200 00:08:49,559 --> 00:08:52,560 Speaker 1: Okay, I'm not gonna say anything about your mom. I'm 201 00:08:52,600 --> 00:08:55,520 Speaker 1: just gonna say this is like that Sarah Silverman joke. 202 00:08:55,720 --> 00:08:58,400 Speaker 1: If you keep having bad roommates, you're the bad roommate. 203 00:08:58,480 --> 00:09:01,360 Speaker 1: I'm just saying I'm not blaming the dogs. 204 00:09:01,559 --> 00:09:01,920 Speaker 2: Seven. 205 00:09:02,160 --> 00:09:05,760 Speaker 3: I wasn't there, so I can't Was she running a 206 00:09:05,800 --> 00:09:06,600 Speaker 3: dog fighting run? 207 00:09:06,800 --> 00:09:09,520 Speaker 2: Hey, this does not seem like a reasonable number of dogs. 208 00:09:10,280 --> 00:09:12,520 Speaker 2: This is the story I was told from her mouth, 209 00:09:12,760 --> 00:09:13,520 Speaker 2: and I'm. 210 00:09:14,960 --> 00:09:17,240 Speaker 1: Okay, I need to get you guys in front of 211 00:09:17,280 --> 00:09:19,120 Speaker 1: some some pities, some little pups. 212 00:09:19,200 --> 00:09:19,600 Speaker 2: Okay. 213 00:09:19,960 --> 00:09:22,800 Speaker 1: From Doug Halpert, who sent us about a million questions, 214 00:09:22,840 --> 00:09:26,480 Speaker 1: thank you Doug for your curiosity. Uh, he wrote, does 215 00:09:26,520 --> 00:09:27,960 Speaker 1: it bother other female athletes? 216 00:09:28,000 --> 00:09:28,840 Speaker 2: Do you want or otherwise? 217 00:09:28,840 --> 00:09:32,400 Speaker 1: That Olivia Dunn Livy Dunn is the highest paid collegiate athlete, 218 00:09:32,400 --> 00:09:34,760 Speaker 1: even over other gymnasts who are Olympic gold medalists. Is 219 00:09:34,800 --> 00:09:37,480 Speaker 1: she really higher paid than NCAA women basketball players who 220 00:09:37,520 --> 00:09:39,880 Speaker 1: have a larger fan base? Uh, Doug, I did not 221 00:09:40,000 --> 00:09:42,400 Speaker 1: research all of her latest nil deals. I don't know 222 00:09:42,400 --> 00:09:45,320 Speaker 1: if all of them are even public. But Livy Dunn 223 00:09:45,320 --> 00:09:47,840 Speaker 1: makes a ton of money, And this is what I'll say. 224 00:09:47,920 --> 00:09:51,000 Speaker 1: There are probably athletes that are frustrated by that. Yes, 225 00:09:51,360 --> 00:09:53,839 Speaker 1: there are probably fans that are frustrated by that. Looking 226 00:09:53,880 --> 00:09:56,240 Speaker 1: around at the other talent in the players that make 227 00:09:56,320 --> 00:10:00,120 Speaker 1: less in ni own money. And also the reality is 228 00:10:00,120 --> 00:10:04,160 Speaker 1: is hate the game, don't hate the player. Right when 229 00:10:04,200 --> 00:10:09,640 Speaker 1: we understand that there is still more to marketing and 230 00:10:09,760 --> 00:10:13,960 Speaker 1: sales and promotion than simply talent, we could step back 231 00:10:13,960 --> 00:10:15,960 Speaker 1: a little bit and be mad that for women that 232 00:10:16,040 --> 00:10:19,120 Speaker 1: always means pretty much sex cells, and for men there's 233 00:10:19,120 --> 00:10:21,520 Speaker 1: a variety of reasons why you might be compelling and 234 00:10:21,559 --> 00:10:25,880 Speaker 1: interesting and promoted. For women, oftentimes it is about sex cells. 235 00:10:26,320 --> 00:10:28,720 Speaker 1: It's better than it used to be, but for now, 236 00:10:29,520 --> 00:10:37,120 Speaker 1: I think it's unfair to blame women who are a 237 00:10:37,160 --> 00:10:39,320 Speaker 1: part of a system that they didn't make or control. 238 00:10:40,160 --> 00:10:42,679 Speaker 1: So I do not like when other people blame women 239 00:10:42,720 --> 00:10:45,360 Speaker 1: for participating in a system that is not of their creation. 240 00:10:46,520 --> 00:10:50,160 Speaker 1: And also, we have to be a part of changing 241 00:10:50,200 --> 00:10:52,480 Speaker 1: the system, and we have to keep pushing back on 242 00:10:53,160 --> 00:10:55,559 Speaker 1: the bullshit ways that women. 243 00:10:55,320 --> 00:11:01,040 Speaker 2: Are usually viewed and valued. Meche thoughts hardly agree with you. 244 00:11:01,240 --> 00:11:03,160 Speaker 2: I mean, especially to be that young. 245 00:11:03,320 --> 00:11:06,800 Speaker 3: First of all, if I was Livydad, y'all would just 246 00:11:06,800 --> 00:11:11,240 Speaker 3: have to be mad at me. Y'all would just have 247 00:11:11,280 --> 00:11:13,280 Speaker 3: to be mad at me, like I don't know a 248 00:11:13,320 --> 00:11:15,240 Speaker 3: lot about her or a lot about her life or 249 00:11:15,240 --> 00:11:18,440 Speaker 3: anything like that. But you know, in a world that 250 00:11:18,520 --> 00:11:22,559 Speaker 3: takes every opportunity to shit on young women, on women 251 00:11:22,640 --> 00:11:25,160 Speaker 3: generally speaking, I'm not mad at her for going to 252 00:11:25,160 --> 00:11:25,640 Speaker 3: get her back. 253 00:11:25,720 --> 00:11:28,880 Speaker 2: I do agree with you, though, we have. 254 00:11:28,840 --> 00:11:31,880 Speaker 3: To acknowledge when we benefit from things and find ways 255 00:11:31,920 --> 00:11:33,800 Speaker 3: to make sure that those things are also accessible to 256 00:11:33,840 --> 00:11:35,719 Speaker 3: other people. So I'm a thousand percent what you want 257 00:11:35,760 --> 00:11:37,079 Speaker 3: at Yeah. 258 00:11:36,880 --> 00:11:38,920 Speaker 2: I love that. Alex thoughts, Yeah. 259 00:11:38,960 --> 00:11:40,600 Speaker 5: I think it's just important to point out this is 260 00:11:40,640 --> 00:11:42,960 Speaker 5: not new, it's not new criticism, but I think that 261 00:11:43,040 --> 00:11:45,720 Speaker 5: over the years, women have gotten better at supporting other women. 262 00:11:46,440 --> 00:11:49,240 Speaker 5: I'll point to a story absolutely unhinged from the New 263 00:11:49,320 --> 00:11:52,240 Speaker 5: York Times back in twenty twelve going after Lolo Jones 264 00:11:52,320 --> 00:11:55,040 Speaker 5: during the London Olympics for having so many sponsorships. 265 00:11:55,640 --> 00:11:58,640 Speaker 4: And this is an Olympian and it's a. 266 00:11:58,600 --> 00:12:01,200 Speaker 5: Similar case though, where like Lolo the best member that 267 00:12:01,320 --> 00:12:04,600 Speaker 5: US Track and Field team. No, but the fact that 268 00:12:04,640 --> 00:12:06,600 Speaker 5: she had to go through all of that and take 269 00:12:06,640 --> 00:12:10,319 Speaker 5: the blame for getting sponsorships in a sport where historically 270 00:12:10,720 --> 00:12:13,600 Speaker 5: women are not making money in the off season just 271 00:12:13,840 --> 00:12:15,559 Speaker 5: outrageous to me. And I think we've come up a 272 00:12:15,640 --> 00:12:18,079 Speaker 5: long way since that thankfully right. 273 00:12:18,120 --> 00:12:19,880 Speaker 1: I mean, I think that's the crux of it is 274 00:12:19,920 --> 00:12:22,240 Speaker 1: we will be blamed both for the system we didn't 275 00:12:22,240 --> 00:12:24,920 Speaker 1: create and from benefiting from it. Like you, we can't win, 276 00:12:25,400 --> 00:12:27,640 Speaker 1: so just win as they say that I can. But yeah, 277 00:12:27,640 --> 00:12:31,839 Speaker 1: I mean, that's that's so true. And I also think 278 00:12:32,520 --> 00:12:34,760 Speaker 1: one thing that has gotten better is women feel more 279 00:12:34,760 --> 00:12:37,440 Speaker 1: empowered in those moments than before. 280 00:12:37,120 --> 00:12:39,160 Speaker 2: When they felt very objectified. 281 00:12:39,480 --> 00:12:42,200 Speaker 1: There's a very fine line between being empowered with yourself 282 00:12:42,200 --> 00:12:44,440 Speaker 1: and being objectified by others. And it does feel like 283 00:12:44,960 --> 00:12:48,560 Speaker 1: the content and the style is more evolved than it 284 00:12:48,640 --> 00:12:51,560 Speaker 1: used to be, which is good to see. Another question 285 00:12:51,679 --> 00:12:54,600 Speaker 1: from Doug, why do interviews some athletes take place right 286 00:12:54,640 --> 00:12:57,560 Speaker 1: after they finish a quarter slash period slash race when 287 00:12:57,559 --> 00:12:59,680 Speaker 1: the athletes are still breathing heavy. In my opinion, they 288 00:12:59,720 --> 00:13:03,680 Speaker 1: should be left alone for a sec to catch their breath. Alex, 289 00:13:03,760 --> 00:13:06,080 Speaker 1: I guarantee you have a good answer for this base 290 00:13:06,160 --> 00:13:08,840 Speaker 1: of like standing next to a ski run and someone 291 00:13:08,960 --> 00:13:10,679 Speaker 1: still got their skis on when you're trying to get 292 00:13:10,679 --> 00:13:11,200 Speaker 1: that story. 293 00:13:11,400 --> 00:13:13,320 Speaker 5: This question made me laugh so much because it brought 294 00:13:13,400 --> 00:13:15,760 Speaker 5: me back to the pen Relays, which is an annual 295 00:13:15,800 --> 00:13:16,720 Speaker 5: track and field event. 296 00:13:16,840 --> 00:13:18,840 Speaker 2: I have competed in it, yes, oh you have. 297 00:13:19,120 --> 00:13:21,360 Speaker 5: Okay, we'll have to discuss that one later. So right, 298 00:13:21,440 --> 00:13:23,000 Speaker 5: it's a relay and it was the four x one 299 00:13:23,080 --> 00:13:26,600 Speaker 5: hundred meter relay, and it was my job to help 300 00:13:26,840 --> 00:13:30,480 Speaker 5: corral the athletes post race. And so there was this 301 00:13:30,559 --> 00:13:32,880 Speaker 5: event happening I think it was in twenty seventeen. The 302 00:13:32,960 --> 00:13:36,640 Speaker 5: US men historically horrible at relay handoffs, and there was 303 00:13:36,679 --> 00:13:39,400 Speaker 5: a botched handoff from one to two. There was going 304 00:13:39,440 --> 00:13:41,679 Speaker 5: to be a post race interview at the finish line. 305 00:13:41,960 --> 00:13:44,240 Speaker 5: So the person who botched the handoff, by the time 306 00:13:44,280 --> 00:13:46,920 Speaker 5: the race was finishing, was like halfway across the track, 307 00:13:47,360 --> 00:13:48,839 Speaker 5: and so I had to go up to this man 308 00:13:48,920 --> 00:13:51,440 Speaker 5: and be like I needed to run to the finish line, 309 00:13:51,480 --> 00:13:53,400 Speaker 5: like I know you just ran, but please run some 310 00:13:53,440 --> 00:13:55,480 Speaker 5: more so that we can get to this broadcast interview 311 00:13:55,520 --> 00:13:56,480 Speaker 5: on live television. 312 00:13:56,800 --> 00:13:58,559 Speaker 4: It was the worst job. I was like, please never 313 00:13:58,600 --> 00:13:59,480 Speaker 4: make me do that again. 314 00:14:00,120 --> 00:14:02,040 Speaker 5: So I always think it's real funny to see what 315 00:14:02,200 --> 00:14:04,840 Speaker 5: athletes are super out of breath, like four hundred meter runners, 316 00:14:05,000 --> 00:14:06,640 Speaker 5: No way you can talk to them for ten minutes, 317 00:14:06,720 --> 00:14:09,000 Speaker 5: like so out of breath, but like a sprinter, like 318 00:14:09,040 --> 00:14:11,240 Speaker 5: they'll be coming through no problem. Yeah, I don't know 319 00:14:11,280 --> 00:14:12,959 Speaker 5: why they have to do it, except for I think 320 00:14:13,000 --> 00:14:14,240 Speaker 5: the answer is just television. 321 00:14:14,920 --> 00:14:15,760 Speaker 2: I think television. 322 00:14:15,840 --> 00:14:19,440 Speaker 1: I think Also there's this conversation relatedly a lot about 323 00:14:19,760 --> 00:14:21,520 Speaker 1: do reporters need to be in the locker room right 324 00:14:21,560 --> 00:14:23,080 Speaker 1: after a game? Why don't they give them time to 325 00:14:23,120 --> 00:14:25,760 Speaker 1: shower and change and come out. The answer is that 326 00:14:26,000 --> 00:14:30,080 Speaker 1: usually that time between the moment of great climax, whether 327 00:14:30,080 --> 00:14:31,880 Speaker 1: that was a game winning shot or a race that 328 00:14:31,920 --> 00:14:34,440 Speaker 1: they won or lost, is enough time for them to 329 00:14:34,560 --> 00:14:37,080 Speaker 1: change their answers, to get back to their level head 330 00:14:37,120 --> 00:14:40,080 Speaker 1: to react differently. In those moments right after is when 331 00:14:40,120 --> 00:14:42,600 Speaker 1: you get the most honest and pure responses. It's when 332 00:14:42,640 --> 00:14:45,680 Speaker 1: you get the athlete in that moment still as soon 333 00:14:45,720 --> 00:14:48,400 Speaker 1: as they step out of that moment, it's what did 334 00:14:48,440 --> 00:14:50,240 Speaker 1: my agent tell me to say? What if my sponsor 335 00:14:50,320 --> 00:14:51,760 Speaker 1: tell me to say? What's gonna be? 336 00:14:51,760 --> 00:14:56,320 Speaker 2: Best? Like, you just don't get the good shit? Yeah, mishagrees. 337 00:14:56,560 --> 00:14:59,200 Speaker 3: I do agree, plan and simple, it's better for a 338 00:14:59,280 --> 00:15:02,520 Speaker 3: TV to get the raw emotion and then to the 339 00:15:02,560 --> 00:15:06,200 Speaker 3: point about the breathing heavy when you're a person who 340 00:15:06,400 --> 00:15:08,880 Speaker 3: either has not played that sport or doesn't know what 341 00:15:08,880 --> 00:15:10,280 Speaker 3: it feels like to be in those shoes. 342 00:15:10,440 --> 00:15:12,200 Speaker 2: That's also how you really. 343 00:15:11,960 --> 00:15:14,920 Speaker 3: Understand the effort and the energy and the toll that 344 00:15:15,400 --> 00:15:18,280 Speaker 3: competing in what have you takes on athletes. 345 00:15:18,520 --> 00:15:20,720 Speaker 2: And I of course come from a basketball background, so. 346 00:15:20,680 --> 00:15:24,240 Speaker 3: I'm like, I feel bad every time somebody's even and 347 00:15:24,480 --> 00:15:28,280 Speaker 3: can't breathe. But also I'm so grateful to hear those 348 00:15:28,360 --> 00:15:30,640 Speaker 3: like you're saying first hand accounts of exactly what just 349 00:15:30,680 --> 00:15:33,440 Speaker 3: happened five seconds ago. I do think there might be 350 00:15:33,480 --> 00:15:35,320 Speaker 3: time for a compromise, though I've seen this on a 351 00:15:35,360 --> 00:15:38,960 Speaker 3: few especially women's college basketball broadcasts. We're like, you give 352 00:15:39,000 --> 00:15:42,320 Speaker 3: them two minutes, three minutes of analysis right after the game. 353 00:15:42,680 --> 00:15:45,720 Speaker 3: That's enough time for them maybe to media trade themselves, 354 00:15:45,720 --> 00:15:47,760 Speaker 3: get their answers together a little bit. But at the 355 00:15:47,760 --> 00:15:50,360 Speaker 3: same time, they haven't left the arena, they haven't left 356 00:15:50,360 --> 00:15:53,240 Speaker 3: that environment, so maybe we can adjust that. But also 357 00:15:53,440 --> 00:15:56,400 Speaker 3: broadcasts have hard time limits, hard outs, that kind of stuff. 358 00:15:56,440 --> 00:15:58,360 Speaker 3: So I don't know. I'm not the genius in the 359 00:15:58,440 --> 00:16:01,520 Speaker 3: room on that, but I do think it's tough. 360 00:16:01,680 --> 00:16:03,040 Speaker 2: It hurts my heart a little bit. 361 00:16:03,680 --> 00:16:05,560 Speaker 1: I mean to your point about knowing how hard it is. 362 00:16:05,600 --> 00:16:08,560 Speaker 1: Though that did wonders for us understanding unrivaled one v one. 363 00:16:08,920 --> 00:16:11,600 Speaker 1: Those players were cooked and they all said it, and 364 00:16:11,640 --> 00:16:13,600 Speaker 1: we might not realize how tough it was if we 365 00:16:13,640 --> 00:16:14,640 Speaker 1: hadn't gotten those I. 366 00:16:14,560 --> 00:16:17,040 Speaker 5: Have a little bit of a controversial opinion too, maybe, 367 00:16:17,120 --> 00:16:20,280 Speaker 5: which is I also like a postgame loser interview. I 368 00:16:20,280 --> 00:16:22,720 Speaker 5: think it can be really easy sometimes to be like 369 00:16:22,760 --> 00:16:24,080 Speaker 5: I just want to talk to the winner. 370 00:16:24,360 --> 00:16:26,280 Speaker 4: I don't want to have to bother the loser. I 371 00:16:26,320 --> 00:16:27,680 Speaker 4: don't want to have to remind them. 372 00:16:27,600 --> 00:16:29,800 Speaker 5: Of what a bad game they had or what bad 373 00:16:29,840 --> 00:16:33,400 Speaker 5: game their team had. But there are a lot of 374 00:16:33,480 --> 00:16:36,600 Speaker 5: athletes where I find I respect them even more after 375 00:16:36,680 --> 00:16:39,360 Speaker 5: I see a postgame loser interview because she realized just 376 00:16:39,400 --> 00:16:40,000 Speaker 5: how hard they. 377 00:16:39,880 --> 00:16:42,040 Speaker 4: Worked and how much respected they have for their opponent. 378 00:16:43,640 --> 00:16:45,520 Speaker 1: Big one that stands out to me is Jianna sanste 379 00:16:45,560 --> 00:16:48,240 Speaker 1: Combo a year or two ago when they got bounced 380 00:16:48,280 --> 00:16:52,280 Speaker 1: the Milwaukee Bucks. He gave a soliloquy about respect for 381 00:16:52,400 --> 00:16:54,920 Speaker 1: the game and should you show up if you're not 382 00:16:54,960 --> 00:16:56,640 Speaker 1: going to win every time, and what it means to 383 00:16:56,680 --> 00:17:00,520 Speaker 1: be a competitor, and it was like, this guy gets it. 384 00:17:00,160 --> 00:17:03,840 Speaker 1: It was really powerful. Okay, easy one from Aaron Raw 385 00:17:03,920 --> 00:17:05,399 Speaker 1: I'm still waiting for Slice Merch. 386 00:17:05,760 --> 00:17:07,320 Speaker 2: When can I support you? I have good news. 387 00:17:07,320 --> 00:17:09,960 Speaker 1: We are working with Breaking Tea and I just got 388 00:17:10,119 --> 00:17:12,520 Speaker 1: most of the final designs for a bunch of gear 389 00:17:12,920 --> 00:17:14,760 Speaker 1: that we're going to roll out soon. So that is 390 00:17:14,800 --> 00:17:17,760 Speaker 1: coming very soon for you, Aarin. We promise we'll tell 391 00:17:17,800 --> 00:17:20,280 Speaker 1: you as soon as we've got stuff for y'all to rock. 392 00:17:20,320 --> 00:17:21,840 Speaker 2: Will be so excited to see it in the wild. 393 00:17:22,400 --> 00:17:25,199 Speaker 1: Okay, Phil Miller says, Hi, thanks so much for today's 394 00:17:25,240 --> 00:17:29,000 Speaker 1: episode with Representative Trehan. You spoke about letting local communities 395 00:17:29,040 --> 00:17:32,000 Speaker 1: and good faith sports councils handle policy question of inclusion 396 00:17:32,040 --> 00:17:34,160 Speaker 1: of transathletes on the youth sports and high school level. 397 00:17:34,320 --> 00:17:36,160 Speaker 2: What are examples of communities. 398 00:17:35,760 --> 00:17:37,720 Speaker 1: Organizing bodies that are doing this right in a just 399 00:17:37,800 --> 00:17:41,160 Speaker 1: and humane way, Sarah, you said, follow the science. My guess, 400 00:17:41,160 --> 00:17:43,200 Speaker 1: as you're referring to high school, collegiate pro levels, what 401 00:17:43,240 --> 00:17:44,920 Speaker 1: does that look like in the real world. Who's getting 402 00:17:44,960 --> 00:17:47,560 Speaker 1: it right, Alex I think you have done some of 403 00:17:47,560 --> 00:17:49,840 Speaker 1: the policy stuff on this. I mean, for me, who's 404 00:17:49,880 --> 00:17:52,440 Speaker 1: getting it right at any level from high school down 405 00:17:52,800 --> 00:17:58,600 Speaker 1: is who's letting people participate and who is putting inclusion 406 00:17:58,680 --> 00:18:02,160 Speaker 1: and community and the benefits of sport above just two wins. 407 00:18:02,480 --> 00:18:04,520 Speaker 2: I'm a winner, I'm a competitor. I love all of that. 408 00:18:04,600 --> 00:18:07,240 Speaker 1: And also the things that I got out of sport 409 00:18:07,240 --> 00:18:09,720 Speaker 1: were so much more than about winning, So that for 410 00:18:09,800 --> 00:18:12,480 Speaker 1: me is the easiest and most simple in Anyone who 411 00:18:12,480 --> 00:18:14,520 Speaker 1: doesn't believe in inclusion at the lower levels, to me 412 00:18:15,040 --> 00:18:18,200 Speaker 1: is doing so without really processing the humanity behind the 413 00:18:18,200 --> 00:18:20,680 Speaker 1: people that are wanting to compete. It gets a lot 414 00:18:20,720 --> 00:18:23,560 Speaker 1: stickier when you get to college, professional, Olympic, ALEXI. 415 00:18:23,600 --> 00:18:24,440 Speaker 2: Do you think's doing it right? 416 00:18:24,680 --> 00:18:26,320 Speaker 5: Yeah? I think one of the things that we saw 417 00:18:26,320 --> 00:18:28,679 Speaker 5: a couple of years ago is that the IOC actually 418 00:18:28,760 --> 00:18:32,400 Speaker 5: had a great framework that they introduced that did tell people, hey, 419 00:18:32,520 --> 00:18:37,399 Speaker 5: follow the science, prioritize inclusion, prioritize grassroots sports. They failed 420 00:18:37,400 --> 00:18:40,280 Speaker 5: to provide any type of enforcement mechanism, which then resulted 421 00:18:40,320 --> 00:18:42,800 Speaker 5: in most sports just go and rogue and doing whatever 422 00:18:42,840 --> 00:18:46,080 Speaker 5: the hell they wanted, mostly by excluding trans women. One 423 00:18:46,200 --> 00:18:50,120 Speaker 5: organization though, that did take that into account was USA Fencing, 424 00:18:50,480 --> 00:18:53,639 Speaker 5: so a pretty small fish overall. But what I like 425 00:18:53,680 --> 00:18:57,119 Speaker 5: about USA Fencing's policy is that at the youth level, 426 00:18:57,320 --> 00:19:01,280 Speaker 5: you fourteen and below, anyone is to compete in whatever 427 00:19:01,359 --> 00:19:04,040 Speaker 5: category they want. That continues all the way up to 428 00:19:04,160 --> 00:19:06,359 Speaker 5: the youth's level. The only difference is that if you 429 00:19:06,400 --> 00:19:10,360 Speaker 5: start qualifying for youth international tournaments, then you are subject 430 00:19:10,359 --> 00:19:12,879 Speaker 5: to other restrictions that are put in place by the 431 00:19:12,960 --> 00:19:16,440 Speaker 5: larger fencing governing body, and then there are testosterone restrictions 432 00:19:16,440 --> 00:19:18,920 Speaker 5: that come into play at the senior level. I don't 433 00:19:18,960 --> 00:19:21,520 Speaker 5: think the policy's perfect, but to me, it represented a 434 00:19:21,560 --> 00:19:24,840 Speaker 5: type of intentionality and thoughtfulness that we so rarely see 435 00:19:24,880 --> 00:19:25,439 Speaker 5: in the space. 436 00:19:26,240 --> 00:19:28,160 Speaker 1: Yeah, I completely agree, and I think it's a work 437 00:19:28,200 --> 00:19:31,600 Speaker 1: in progress. If you're interested in understanding why it's not simple, 438 00:19:31,800 --> 00:19:33,359 Speaker 1: you can go back and listen to our interview with 439 00:19:33,480 --> 00:19:37,280 Speaker 1: Rose Elvilth, who hosted this incredible podcast called Tested, and 440 00:19:37,320 --> 00:19:40,359 Speaker 1: you really start to understand that there are bodies that 441 00:19:40,400 --> 00:19:43,480 Speaker 1: have tried to do extensive science research and to really 442 00:19:43,560 --> 00:19:47,000 Speaker 1: understand whether the benefits of testosterone are as massive as 443 00:19:47,040 --> 00:19:50,720 Speaker 1: they appear to be, what else factors interprofessional and elite competition, 444 00:19:51,400 --> 00:19:55,040 Speaker 1: and how it's not simple And so I think it's 445 00:19:55,040 --> 00:19:56,600 Speaker 1: a good listen if you want to kind of understand 446 00:19:56,640 --> 00:19:57,800 Speaker 1: more mist you have thoughts. 447 00:19:58,359 --> 00:20:03,040 Speaker 3: I think whenever we're having conversations about including athletes in sports, 448 00:20:03,720 --> 00:20:06,760 Speaker 3: I always go back to why do we play sports? 449 00:20:06,800 --> 00:20:09,080 Speaker 3: What's the point And it's not just about the competition, 450 00:20:09,160 --> 00:20:12,520 Speaker 3: but it's also about testing the limits, testing the boundaries, 451 00:20:12,560 --> 00:20:15,639 Speaker 3: seeing what the human body is actually capable of, especially 452 00:20:15,680 --> 00:20:17,880 Speaker 3: in those individual sports where you're going for. 453 00:20:17,880 --> 00:20:19,040 Speaker 2: Time or what have you. 454 00:20:20,240 --> 00:20:22,119 Speaker 3: And so to me, if we're looking at it in 455 00:20:22,160 --> 00:20:25,400 Speaker 3: that framework, inclusion is always the better idea because then 456 00:20:25,440 --> 00:20:27,520 Speaker 3: you find out what we really can do? Is it? 457 00:20:27,960 --> 00:20:30,040 Speaker 3: You know, does it get stickier the more you dig 458 00:20:30,080 --> 00:20:32,760 Speaker 3: into the weeds about Okay, who should be competing against who? 459 00:20:32,800 --> 00:20:35,600 Speaker 3: And you know, who has a benefit because of xyz 460 00:20:35,800 --> 00:20:37,480 Speaker 3: like of course, But at the end of the day, 461 00:20:37,480 --> 00:20:39,639 Speaker 3: it's about figuring out, Okay, what can. 462 00:20:39,560 --> 00:20:40,240 Speaker 2: The human body? 463 00:20:40,280 --> 00:20:43,840 Speaker 3: What can humans actually accomplish when we you know, let 464 00:20:43,880 --> 00:20:45,000 Speaker 3: people do what they want to do. 465 00:20:45,640 --> 00:20:47,119 Speaker 1: And I think the thing that stands out to me 466 00:20:47,240 --> 00:20:49,960 Speaker 1: is usually around trans athletes. What ends up happening is 467 00:20:49,960 --> 00:20:52,359 Speaker 1: it's these artificial caps on what women and girls can do. 468 00:20:52,520 --> 00:20:54,920 Speaker 1: Exactly while we continue to celebrate the highest levels of 469 00:20:54,960 --> 00:20:57,400 Speaker 1: male achievement and are blown away every time they beat 470 00:20:57,400 --> 00:21:00,399 Speaker 1: our expectations, and when women and girls do it, including 471 00:21:00,440 --> 00:21:03,920 Speaker 1: cis women and girls, it's still about capping or putting 472 00:21:04,200 --> 00:21:06,240 Speaker 1: a top on it and presuming that they're not doing 473 00:21:06,320 --> 00:21:09,119 Speaker 1: it fairly or presuming that there's some sort of impropriety 474 00:21:09,200 --> 00:21:11,280 Speaker 1: in and that just comes back to it a whole 475 00:21:11,280 --> 00:21:13,480 Speaker 1: ton of misogyny that affects a lot of these conversations. 476 00:21:14,080 --> 00:21:17,919 Speaker 1: From Amanda Valo, would you be okay sitting next to 477 00:21:18,000 --> 00:21:22,560 Speaker 1: a miniature service horse on an airplane? And she offered 478 00:21:22,560 --> 00:21:25,119 Speaker 1: to what the fact miniature horses and dogs are the 479 00:21:25,119 --> 00:21:28,680 Speaker 1: only animals considered assistance animals and legally protected by the ADA. 480 00:21:29,320 --> 00:21:31,720 Speaker 1: That's funny because I know we've seen there's a woman 481 00:21:31,760 --> 00:21:33,360 Speaker 1: with like an emotional service peacock. 482 00:21:33,680 --> 00:21:35,639 Speaker 2: There's been some wild animals that people have tried to 483 00:21:35,640 --> 00:21:36,360 Speaker 2: get on planes. 484 00:21:37,760 --> 00:21:40,960 Speaker 1: Okay, I would be happy to sit next to any 485 00:21:41,040 --> 00:21:41,960 Speaker 1: animal on a plane. 486 00:21:41,960 --> 00:21:43,120 Speaker 2: I am obsessed with animals. 487 00:21:43,119 --> 00:21:45,280 Speaker 1: Being around animals makes me happy every single second of 488 00:21:45,320 --> 00:21:47,480 Speaker 1: the day. My only caveat is how long is the 489 00:21:47,520 --> 00:21:50,000 Speaker 1: flight and does the horse hold it the whole time? 490 00:21:50,400 --> 00:21:52,840 Speaker 1: I'm not about to be smelling horse poop on a 491 00:21:53,920 --> 00:21:58,800 Speaker 1: cross atlantic flight. Other than that, yes, please put your 492 00:21:58,800 --> 00:21:59,959 Speaker 1: horse near me. 493 00:22:00,680 --> 00:22:03,280 Speaker 3: Misia, I don't know, Sarah, I don't know if I 494 00:22:03,280 --> 00:22:04,040 Speaker 3: can follow you on that. 495 00:22:04,200 --> 00:22:07,760 Speaker 1: You're both shaking your heads and all the problems you 496 00:22:07,800 --> 00:22:08,680 Speaker 1: don't have dogs. 497 00:22:08,800 --> 00:22:09,679 Speaker 4: I'm fact checking that. 498 00:22:09,960 --> 00:22:13,160 Speaker 5: I was maybe nodding slightly, but it was not in disagreement. 499 00:22:13,520 --> 00:22:14,680 Speaker 2: I was shaking my head. 500 00:22:14,800 --> 00:22:17,480 Speaker 3: I'm shaking my head because if we got an hour flight, 501 00:22:17,600 --> 00:22:19,800 Speaker 3: I'll sit next to your miniature horse as long as 502 00:22:19,840 --> 00:22:22,359 Speaker 3: a that horse's hair. If they got a long you 503 00:22:22,400 --> 00:22:24,760 Speaker 3: know it. If it touches me, we got a problem. 504 00:22:24,920 --> 00:22:28,480 Speaker 3: If they start shitting, if they start peeing, nan any 505 00:22:28,520 --> 00:22:30,200 Speaker 3: of it, it's it's over with, It's over. 506 00:22:30,880 --> 00:22:33,280 Speaker 2: It's over. Are you gonna be quiet the whole flight? Yes, 507 00:22:33,400 --> 00:22:33,719 Speaker 2: I'll be. 508 00:22:33,840 --> 00:22:36,359 Speaker 3: I'll be trying to sleep more than likely, because I 509 00:22:36,359 --> 00:22:38,720 Speaker 3: actually really don't like flying, especially right now. 510 00:22:39,200 --> 00:22:39,440 Speaker 2: Yeah. 511 00:22:40,800 --> 00:22:43,040 Speaker 1: So yeah, we're back where it's like socially acceptable to 512 00:22:43,040 --> 00:22:44,119 Speaker 1: clap when the plane lands. 513 00:22:44,160 --> 00:22:46,640 Speaker 3: I had a very real fear of flying as a kid, 514 00:22:46,720 --> 00:22:48,959 Speaker 3: So I'm like, whatever is gonna mess with my mojo? 515 00:22:49,240 --> 00:22:50,719 Speaker 2: Keep it okay, Alex. 516 00:22:51,000 --> 00:22:53,760 Speaker 5: Well, my brain just immediately went to geometry, like how 517 00:22:53,760 --> 00:22:56,600 Speaker 5: does a horse, a miniature horse even fit in a 518 00:22:56,680 --> 00:22:57,240 Speaker 5: seat like. 519 00:22:57,240 --> 00:22:58,720 Speaker 2: Probably the bulkhead, you know. 520 00:22:58,840 --> 00:23:01,000 Speaker 5: So I was like, what direction? And is it oriented in? 521 00:23:01,119 --> 00:23:03,000 Speaker 5: Does it have to get its own seat? Like obviously 522 00:23:03,000 --> 00:23:04,760 Speaker 5: has to get its own seat, but almost two seats. 523 00:23:04,800 --> 00:23:07,120 Speaker 5: I feel like it's that wide. So I was kind 524 00:23:07,119 --> 00:23:09,560 Speaker 5: of wondering, what are even the odds that you would 525 00:23:09,560 --> 00:23:10,800 Speaker 5: be seated next to one? 526 00:23:10,960 --> 00:23:13,240 Speaker 4: Given that logistical that wasn't the question. 527 00:23:13,320 --> 00:23:18,360 Speaker 1: Nol Okay, Yes we got one. 528 00:23:19,400 --> 00:23:20,880 Speaker 2: I'm a little worried about you too. 529 00:23:21,240 --> 00:23:24,440 Speaker 1: Okay, last one from Aaron Rod just me still played basketball? 530 00:23:24,480 --> 00:23:25,600 Speaker 2: Whose but do they kick? 531 00:23:26,560 --> 00:23:26,600 Speaker 4: Me? 532 00:23:27,320 --> 00:23:29,840 Speaker 3: Plays basketball every once in a blue moon right now. 533 00:23:30,000 --> 00:23:33,560 Speaker 3: Actually the day that we're recording this, yesterday, I actually 534 00:23:33,600 --> 00:23:35,560 Speaker 3: was out on the court shooting a little bit because 535 00:23:35,560 --> 00:23:37,440 Speaker 3: I need to get back and playing shape. It's gonna 536 00:23:37,440 --> 00:23:38,800 Speaker 3: be warm outside again soon. 537 00:23:39,040 --> 00:23:39,679 Speaker 2: Gotta do it. 538 00:23:40,280 --> 00:23:42,240 Speaker 3: But yeah, when I do, it's usually grown men whose 539 00:23:42,280 --> 00:23:44,800 Speaker 3: butts eye kick. They like to do a lot of talking. 540 00:23:44,920 --> 00:23:48,040 Speaker 3: I had a guy maybe last year we were playing 541 00:23:48,080 --> 00:23:50,600 Speaker 3: and it was getting down to the last couple of points. 542 00:23:51,359 --> 00:23:53,040 Speaker 3: He tried to hit a shot in my face, said 543 00:23:53,080 --> 00:23:55,520 Speaker 3: get the off my court. Missed the shot. I came 544 00:23:55,560 --> 00:23:58,200 Speaker 3: back down, hit the shot, said get the off my court. 545 00:23:58,240 --> 00:23:59,879 Speaker 3: So that's what type of time on over. 546 00:24:00,440 --> 00:24:01,000 Speaker 2: I love that. 547 00:24:01,080 --> 00:24:02,639 Speaker 1: Can we get you to set up a camera so 548 00:24:02,800 --> 00:24:04,320 Speaker 1: like people do when they're cooking. 549 00:24:04,400 --> 00:24:05,120 Speaker 2: Dudes at the gym. 550 00:24:05,320 --> 00:24:09,639 Speaker 1: I actually scrolling Insta and I see those videos and 551 00:24:09,680 --> 00:24:11,840 Speaker 1: it's just a highlight reel of girls cooking dudes who 552 00:24:11,840 --> 00:24:12,560 Speaker 1: don't want to play d. 553 00:24:12,760 --> 00:24:14,800 Speaker 3: I actually have to start posting those I have. I 554 00:24:14,840 --> 00:24:17,119 Speaker 3: have a few, but I got to get some new 555 00:24:17,160 --> 00:24:18,160 Speaker 3: tape for you. 556 00:24:18,240 --> 00:24:20,880 Speaker 1: All right, good, Okay, I'm putting one more in because 557 00:24:21,000 --> 00:24:23,359 Speaker 1: I want I want to answer this question. Erin also asked, 558 00:24:23,320 --> 00:24:25,639 Speaker 1: does Alex read a lot to be the research person? 559 00:24:25,720 --> 00:24:28,600 Speaker 1: Does she participate in book challenges? I love that we 560 00:24:28,680 --> 00:24:30,720 Speaker 1: have gone to Alex so much and been like Alex 561 00:24:30,840 --> 00:24:34,479 Speaker 1: research that she thinks that you're actually officially the research person, 562 00:24:34,880 --> 00:24:37,560 Speaker 1: Like we have separate roles on this on this show 563 00:24:37,720 --> 00:24:40,560 Speaker 1: for the everybody just kind of does everything, except for 564 00:24:40,600 --> 00:24:43,240 Speaker 1: Alex is always the default research person because we know 565 00:24:43,359 --> 00:24:44,000 Speaker 1: she's done it. 566 00:24:43,960 --> 00:24:48,240 Speaker 5: All official googler. I consume a lot of stuff, a 567 00:24:48,240 --> 00:24:51,320 Speaker 5: lot of information. I don't necessarily consider myself a big 568 00:24:51,400 --> 00:24:54,320 Speaker 5: reader in terms of like physical print, but I listen 569 00:24:54,359 --> 00:24:55,480 Speaker 5: to a lot of audiobooks. 570 00:24:55,520 --> 00:24:57,080 Speaker 4: I listen to a lot of in depth. 571 00:24:56,880 --> 00:25:00,760 Speaker 5: Narrative podcasts, so yeah, I can SeeMe a lot of information. 572 00:25:00,840 --> 00:25:03,000 Speaker 5: I used to have this great fear though, that I 573 00:25:03,280 --> 00:25:06,639 Speaker 5: could never ask a question unless I had googled it 574 00:25:06,760 --> 00:25:09,760 Speaker 5: to exhaustion and used all of the resources available to 575 00:25:09,800 --> 00:25:11,720 Speaker 5: me to try to find the answer. And I have 576 00:25:11,800 --> 00:25:13,879 Speaker 5: thankfully grown out of that. I think it was a 577 00:25:13,920 --> 00:25:14,960 Speaker 5: bad habit to have. 578 00:25:15,000 --> 00:25:15,679 Speaker 4: I think that there is. 579 00:25:15,720 --> 00:25:17,919 Speaker 5: Benefit to asking a question that you maybe kind of 580 00:25:17,960 --> 00:25:20,640 Speaker 5: know the answer of, because sometimes the person's answers changed, 581 00:25:21,200 --> 00:25:23,560 Speaker 5: and sometimes the person that wrote it down the first 582 00:25:23,560 --> 00:25:25,640 Speaker 5: time didn't get it exactly right right. 583 00:25:25,720 --> 00:25:28,000 Speaker 1: And sometimes the answer you get is so infused with 584 00:25:28,080 --> 00:25:32,119 Speaker 1: someone's experience or perspective that it's far more compelling and 585 00:25:32,200 --> 00:25:33,959 Speaker 1: useful to you than what you get off the internet. 586 00:25:33,960 --> 00:25:34,800 Speaker 2: That's just a fact. 587 00:25:36,240 --> 00:25:38,240 Speaker 1: Also, I would just be worried for the amount of 588 00:25:38,240 --> 00:25:40,280 Speaker 1: hours in the day that you would spend googling something 589 00:25:40,320 --> 00:25:43,040 Speaker 1: till exhaustion. So I'm glad that it's at some point 590 00:25:43,119 --> 00:25:45,280 Speaker 1: now you're willing to just say, you know what, let 591 00:25:45,280 --> 00:25:46,080 Speaker 1: me ask somebody. 592 00:25:47,200 --> 00:25:48,159 Speaker 2: We're going to do a lot. 593 00:25:48,040 --> 00:25:50,399 Speaker 1: More slice questions at a future show. But thanks for 594 00:25:50,480 --> 00:25:52,640 Speaker 1: sending all those in. We got to take another break 595 00:25:52,640 --> 00:25:55,639 Speaker 1: when we return the oral boros that is women's college hoops. 596 00:25:55,760 --> 00:26:05,119 Speaker 1: Stick around, Welcome back slices. 597 00:26:05,200 --> 00:26:06,680 Speaker 2: We'd love to hear from you. And get more of 598 00:26:06,720 --> 00:26:07,280 Speaker 2: your questions. 599 00:26:07,280 --> 00:26:09,720 Speaker 1: So hit us up on email good game at wondermedianetwork 600 00:26:09,760 --> 00:26:12,080 Speaker 1: dot com, or you can leave us a voicemail at 601 00:26:12,080 --> 00:26:15,080 Speaker 1: eight seven two two O four fifty seventy and. 602 00:26:15,119 --> 00:26:17,119 Speaker 2: Don't forget to subscribe. Rate and review. 603 00:26:17,320 --> 00:26:21,200 Speaker 1: It's easy watch someone else do in the math rating 604 00:26:21,440 --> 00:26:24,800 Speaker 1: five out of five. Thank yous more please review. It's 605 00:26:24,840 --> 00:26:28,119 Speaker 1: been a wild NCAA College hoops season, with the number 606 00:26:28,160 --> 00:26:30,560 Speaker 1: one ranking getting tossed around like a hot potato the 607 00:26:30,640 --> 00:26:33,399 Speaker 1: last few weeks, So shout out to at fire Gino 608 00:26:33,560 --> 00:26:36,320 Speaker 1: on Twitter for doing the math on just how crazy 609 00:26:36,359 --> 00:26:39,159 Speaker 1: the tourney might be. He really crossed his t's and 610 00:26:39,200 --> 00:26:42,400 Speaker 1: dotted his tittles on this tweet. It reads quote NC 611 00:26:42,600 --> 00:26:46,640 Speaker 1: State lost to LSU. LSU lost to Texas, Texas lost 612 00:26:46,680 --> 00:26:50,040 Speaker 1: to sc SC lost to Yukon. Yukon lost to USC, 613 00:26:50,160 --> 00:26:52,640 Speaker 1: USC lost to Notre Dame. Notre Dame lost to NC State, 614 00:26:52,840 --> 00:26:55,360 Speaker 1: NC State lost to sc SC lost to UCLA. Ucla 615 00:26:55,400 --> 00:26:58,000 Speaker 1: lost to USC and so on. As you can tell, 616 00:26:58,000 --> 00:27:01,000 Speaker 1: March is going to be psychotic this year. End quote 617 00:27:01,560 --> 00:27:05,240 Speaker 1: bring on the madness, but first, bring on the reviews. 618 00:27:05,280 --> 00:27:07,159 Speaker 2: Five stars. Say something nice, tell us you love us 619 00:27:07,200 --> 00:27:10,280 Speaker 2: thank you, thanks for listening. See you tomorrow. Good game, 620 00:27:10,320 --> 00:27:11,200 Speaker 2: Dina Tarassi. 621 00:27:11,880 --> 00:27:14,000 Speaker 1: You know and with twenty years as a pro another 622 00:27:14,240 --> 00:27:17,280 Speaker 1: good game to Diana Tarassi, but also by the way 623 00:27:17,600 --> 00:27:23,000 Speaker 1: you Diana Tarassi leaving us and shit. Good Game with 624 00:27:23,040 --> 00:27:26,200 Speaker 1: Sarah Spain is an iHeart women's sports production in partnership 625 00:27:26,280 --> 00:27:28,800 Speaker 1: with Deep Blue Sports and Entertainment. You can find us 626 00:27:28,800 --> 00:27:31,800 Speaker 1: on the iHeartRadio app, Apple Podcasts, or wherever you get 627 00:27:31,800 --> 00:27:35,359 Speaker 1: your podcasts. Production by Wonder Media Network, our producers are 628 00:27:35,400 --> 00:27:39,159 Speaker 1: Alex Azzie and Misha Jones. Our executive producers are Christina Everett, 629 00:27:39,200 --> 00:27:42,440 Speaker 1: Jesse Katz, Jenny Kaplan, and Emily Rudder. Our editors are 630 00:27:42,440 --> 00:27:46,040 Speaker 1: Emily Rutter, Britney Martinez and Grace Lynch. Our associate producer 631 00:27:46,080 --> 00:27:48,840 Speaker 1: is Lucy Jones and I'm Your host Sarah Spain