1 00:00:05,160 --> 00:00:07,600 Speaker 1: Hey, this is Annie and Samantha and welcome to stuff. 2 00:00:07,600 --> 00:00:19,480 Speaker 1: I never told you Protection by Heart Radio, and today 3 00:00:19,720 --> 00:00:23,599 Speaker 1: we are so thrilled, and me in particular for reasons 4 00:00:23,640 --> 00:00:27,240 Speaker 1: that will become clear, to be joined by the wonderful, 5 00:00:27,440 --> 00:00:31,400 Speaker 1: the excellent bruget Todd. Thank you so much for coming 6 00:00:31,480 --> 00:00:34,480 Speaker 1: on the show. Bridget Oh, I'm so excited to be here. 7 00:00:34,520 --> 00:00:37,600 Speaker 1: I'm so excited that you're down for the topic I 8 00:00:37,640 --> 00:00:39,840 Speaker 1: want to discuss. This is the highlight of my week. 9 00:00:39,880 --> 00:00:43,160 Speaker 1: I can't wait. Oh oh, I can't wait either. I 10 00:00:43,240 --> 00:00:46,120 Speaker 1: literally I stayed up really late watching horror movies last 11 00:00:46,240 --> 00:00:48,720 Speaker 1: night and I got this email kind of late and 12 00:00:48,760 --> 00:00:52,120 Speaker 1: I saw the topic and I was like, oh, yes, yeah, 13 00:00:52,840 --> 00:00:55,080 Speaker 1: this is the one. Yeah. Can I go ahead and 14 00:00:55,120 --> 00:00:57,160 Speaker 1: say in this whole thing? I was like, Oh, I 15 00:00:57,280 --> 00:00:59,960 Speaker 1: know what's about to happen, and everybody's gonna geek out. 16 00:01:00,040 --> 00:01:02,000 Speaker 1: I'm going to be here going I don't know what 17 00:01:02,120 --> 00:01:06,080 Speaker 1: just happened, but just our conversation, we had to stop 18 00:01:06,160 --> 00:01:08,640 Speaker 1: the middle of our hey, how you doing conversation because 19 00:01:08,720 --> 00:01:12,560 Speaker 1: we started jumping into it and the excitement was overflowing 20 00:01:12,760 --> 00:01:14,280 Speaker 1: and we've gotta stop because we need to have this 21 00:01:14,560 --> 00:01:19,119 Speaker 1: on Mike slash. I'm just gonna sit here and stare y'all, yeah, 22 00:01:20,240 --> 00:01:22,480 Speaker 1: you know about pants suits, which I'm hoping do you 23 00:01:22,560 --> 00:01:33,200 Speaker 1: know about pants suits? That's one thing before we get 24 00:01:33,200 --> 00:01:36,240 Speaker 1: into the topic that at least two of us are 25 00:01:36,319 --> 00:01:38,440 Speaker 1: very excited to talk about bridget I just want to 26 00:01:38,480 --> 00:01:40,640 Speaker 1: check in. How are you? How are things going in 27 00:01:40,720 --> 00:01:47,480 Speaker 1: your world? Oh? What a question. It's a lot. I mean, 28 00:01:47,480 --> 00:01:49,480 Speaker 1: that's kind of one of the reasons why I wanted 29 00:01:49,520 --> 00:01:52,320 Speaker 1: to discuss something that was a little bit more light. I, 30 00:01:53,320 --> 00:01:55,880 Speaker 1: as listeners probably know, there's a lot happening in the world. 31 00:01:56,600 --> 00:02:01,320 Speaker 1: I feel since the Free Court abortion the decision leak 32 00:02:01,720 --> 00:02:05,600 Speaker 1: to the horrible shootings in Buffalo and in California that 33 00:02:05,600 --> 00:02:08,600 Speaker 1: we're pretty clearly racially targeted. I think there's a lot 34 00:02:09,720 --> 00:02:13,559 Speaker 1: heavy going on right now, and I just yeah, Sometimes 35 00:02:14,160 --> 00:02:17,520 Speaker 1: sometimes my way of those things really dovetail with my 36 00:02:17,639 --> 00:02:19,680 Speaker 1: work and so in my day to day, in my 37 00:02:20,800 --> 00:02:23,120 Speaker 1: they're just things that consume me, and I kind of 38 00:02:23,120 --> 00:02:26,280 Speaker 1: go through weird phases where sometimes my response to it 39 00:02:26,360 --> 00:02:29,440 Speaker 1: is to lean right in. I'm like, oh, I am 40 00:02:29,600 --> 00:02:34,240 Speaker 1: gonna read every article, go to every mobilization, every rally 41 00:02:34,440 --> 00:02:36,720 Speaker 1: I'm in, and that makes me feel like I'm having 42 00:02:36,760 --> 00:02:39,440 Speaker 1: an impact, but sometimes it's like I need to lean 43 00:02:39,480 --> 00:02:42,080 Speaker 1: way out, I need to limit what I'm reading, and 44 00:02:42,080 --> 00:02:45,480 Speaker 1: so I feel like it's a pendulum and the pendulum. 45 00:02:45,520 --> 00:02:48,280 Speaker 1: This past weekend was very much like I went to 46 00:02:48,360 --> 00:02:52,720 Speaker 1: the d c UM you know, Bands Off our Bodies mobilizations, 47 00:02:53,280 --> 00:02:55,000 Speaker 1: and so I was like really checked in, and then 48 00:02:55,040 --> 00:02:57,280 Speaker 1: when Sunday rolled around, I was like time to check 49 00:02:57,280 --> 00:03:02,120 Speaker 1: out and think about X files, write act. We do 50 00:03:02,560 --> 00:03:09,960 Speaker 1: that of me? How is it better for you too? Ah, 51 00:03:10,200 --> 00:03:13,000 Speaker 1: I would say the same. It's you know, we try 52 00:03:13,160 --> 00:03:15,840 Speaker 1: very hard. We're very big proponents of self care on 53 00:03:15,960 --> 00:03:18,959 Speaker 1: this show, and it's something that can be extremely difficult 54 00:03:19,000 --> 00:03:23,320 Speaker 1: to convince yourself to do. UM and I think it 55 00:03:23,400 --> 00:03:28,960 Speaker 1: does just feel like a lot of weight. I'm a 56 00:03:28,960 --> 00:03:35,480 Speaker 1: lot of weight, but similarly, I also am somebody. I 57 00:03:35,560 --> 00:03:37,640 Speaker 1: have all these kind of fiction escapes, which is one 58 00:03:37,640 --> 00:03:39,960 Speaker 1: reason I'm very excited to talk about this that I 59 00:03:40,120 --> 00:03:45,960 Speaker 1: use that helped me deal with things, including trauma that 60 00:03:46,120 --> 00:03:49,520 Speaker 1: I've talked about on this show before. So uh, that's 61 00:03:49,520 --> 00:03:52,480 Speaker 1: something I've become more mindful of as I've a gone 62 00:03:52,520 --> 00:03:55,720 Speaker 1: to therapy UM, but also during the pandemic because I'm 63 00:03:55,760 --> 00:03:58,600 Speaker 1: during the pandemic. I live by myself, so there was 64 00:03:58,600 --> 00:04:01,640 Speaker 1: a lot of like why are you doing this? Why 65 00:04:01,680 --> 00:04:04,440 Speaker 1: are you engaging in this perhaps unhealthy behavior or maybe 66 00:04:04,440 --> 00:04:07,240 Speaker 1: it's a healthy behavior, but you're like leading on it 67 00:04:07,320 --> 00:04:12,040 Speaker 1: too much. So I feel like for me these past 68 00:04:12,040 --> 00:04:18,040 Speaker 1: couple of weeks, I've definitely felt a struggle to maintain 69 00:04:18,080 --> 00:04:20,400 Speaker 1: that self care, not feel guilty about the self care, 70 00:04:20,440 --> 00:04:24,440 Speaker 1: but also like be responsibly checked in and not like 71 00:04:24,600 --> 00:04:29,400 Speaker 1: totally checked out, if that makes sense, totally, that makes 72 00:04:29,440 --> 00:04:31,800 Speaker 1: a lot of sense. I know that, Like, um, I 73 00:04:31,839 --> 00:04:34,719 Speaker 1: have a friend Sabrina, who has she's a human rights 74 00:04:34,760 --> 00:04:36,560 Speaker 1: advocate and she has worked in a lot of like 75 00:04:37,120 --> 00:04:41,600 Speaker 1: war zones, so places where like stuff is getting bad, 76 00:04:41,720 --> 00:04:44,600 Speaker 1: you know, and it's dangerous. And she says that one 77 00:04:44,640 --> 00:04:46,479 Speaker 1: of the things that she has to really balance is 78 00:04:46,960 --> 00:04:51,120 Speaker 1: not checking every news update but just trusting that the 79 00:04:51,240 --> 00:04:53,920 Speaker 1: updates that you need to get you will get. And 80 00:04:53,960 --> 00:04:56,800 Speaker 1: so it can be really tempting to just like read everything, 81 00:04:56,800 --> 00:05:01,479 Speaker 1: consume everything, but maintaining that like healthily checked in but 82 00:05:01,640 --> 00:05:06,400 Speaker 1: not over consuming media or bad news or information, you know, 83 00:05:06,560 --> 00:05:09,040 Speaker 1: just just trusting that like the information that you need 84 00:05:09,120 --> 00:05:11,800 Speaker 1: to get, well, we'll find its way. To you. Can 85 00:05:11,880 --> 00:05:16,560 Speaker 1: we tell the political Canada's right now this? Can we say, hey, 86 00:05:16,600 --> 00:05:20,040 Speaker 1: can you not doom shout at us about every little 87 00:05:20,120 --> 00:05:23,599 Speaker 1: moment because that's not helping at this point. You're just 88 00:05:23,680 --> 00:05:26,919 Speaker 1: hurting yourself because I feel like I've gotten so many 89 00:05:26,960 --> 00:05:29,720 Speaker 1: emails and texts like it's too late. We felt, we 90 00:05:29,880 --> 00:05:32,360 Speaker 1: felt and like, oh my God, for the love of Jesus, 91 00:05:32,760 --> 00:05:35,680 Speaker 1: I've got some amount of money right now. Okay, yes, 92 00:05:36,040 --> 00:05:38,440 Speaker 1: I can talk about this at length. This is like 93 00:05:38,920 --> 00:05:41,880 Speaker 1: my bread and butter as a you know, political organizer. 94 00:05:42,760 --> 00:05:46,480 Speaker 1: That doesn't work right. You can't. You can't motivate people 95 00:05:46,520 --> 00:05:50,000 Speaker 1: through doom and gloom and through fear and through these 96 00:05:50,320 --> 00:05:54,440 Speaker 1: NonStop political fundraising emails that read like we have your 97 00:05:54,560 --> 00:05:58,039 Speaker 1: kids and let you said that's you will not see 98 00:05:58,200 --> 00:06:02,039 Speaker 1: like that doesn't motivate people. What motivates peops, hope motivates people, 99 00:06:02,640 --> 00:06:04,960 Speaker 1: you know, feeling like like they can actually make a difference. 100 00:06:05,000 --> 00:06:07,320 Speaker 1: What motivates people is a shared vision and in a 101 00:06:07,320 --> 00:06:10,880 Speaker 1: collective community, not doom and gloom every day time you 102 00:06:10,920 --> 00:06:14,440 Speaker 1: open your computer, right, I mean I literally got one. Doesn't. 103 00:06:14,600 --> 00:06:17,160 Speaker 1: We begged you, We begged you, we we asked you 104 00:06:17,200 --> 00:06:19,320 Speaker 1: just didn't you just ignored it. So I was like, 105 00:06:19,440 --> 00:06:25,920 Speaker 1: what is this makes me want to yell at You'd 106 00:06:25,920 --> 00:06:28,080 Speaker 1: be like stop emailing me that I'm never giving you 107 00:06:28,120 --> 00:06:31,240 Speaker 1: any money ever again, Like because you're you're hunting me 108 00:06:31,279 --> 00:06:34,440 Speaker 1: because I gave you to you you before. This is not helpful. 109 00:06:34,920 --> 00:06:37,000 Speaker 1: But yeah, can we just like let them know this 110 00:06:37,080 --> 00:06:40,000 Speaker 1: is not working? We need to see action. But I 111 00:06:40,000 --> 00:06:42,120 Speaker 1: think I'm on the same lines of trying to find 112 00:06:42,160 --> 00:06:47,000 Speaker 1: the balance of making sure we're not making other people's 113 00:06:47,040 --> 00:06:50,800 Speaker 1: loads too heavy by not taking on our own part. Um, 114 00:06:50,839 --> 00:06:53,080 Speaker 1: there's a lot of shootings that's happening, and I know, 115 00:06:53,200 --> 00:06:55,479 Speaker 1: I think it's just like it's always happening and that 116 00:06:55,800 --> 00:07:00,800 Speaker 1: somethings just catch attention. Um, But the that is racially 117 00:07:00,839 --> 00:07:03,679 Speaker 1: motivated and it's spread throughout the country is so gross 118 00:07:03,720 --> 00:07:08,440 Speaker 1: and so ugly. Um. Talking like before the Buffalo shooting 119 00:07:08,440 --> 00:07:11,200 Speaker 1: in itself, it's like, Wow, what is happening? And then 120 00:07:12,200 --> 00:07:16,040 Speaker 1: instead of fying the resolutions, just pointing fingers and then 121 00:07:16,080 --> 00:07:19,480 Speaker 1: ignoring the fact that the victims exist and we need 122 00:07:19,480 --> 00:07:22,040 Speaker 1: to talk about what the lives they lead and celebrate 123 00:07:22,080 --> 00:07:24,600 Speaker 1: that and talk about why this is a tragedy and 124 00:07:24,720 --> 00:07:29,240 Speaker 1: it is so many people's faults and why that needs 125 00:07:29,240 --> 00:07:30,840 Speaker 1: to be a conversation. The same thing that happened the 126 00:07:30,840 --> 00:07:33,600 Speaker 1: Texas shooting and the California shooting. There's so many things 127 00:07:33,680 --> 00:07:37,440 Speaker 1: that's kind of like, wow, when does it stop? At 128 00:07:37,440 --> 00:07:40,280 Speaker 1: the same time, yeah, and not being so overwhelmed and 129 00:07:40,280 --> 00:07:44,280 Speaker 1: inundated that it immobilizes us and makes us freeze. To 130 00:07:44,400 --> 00:07:46,480 Speaker 1: finding that we have no action because we don't know 131 00:07:46,520 --> 00:07:50,400 Speaker 1: what else to do, and that overwhelming dooming level. But 132 00:07:50,520 --> 00:07:52,720 Speaker 1: trying to find that balance. That's been kind of trying me, 133 00:07:52,760 --> 00:07:54,960 Speaker 1: trying to figure that out living my life and not 134 00:07:55,000 --> 00:07:57,840 Speaker 1: feeling selfish for living my life, but also recognizing that 135 00:07:57,880 --> 00:08:00,160 Speaker 1: we still have a part to play. Like it's such 136 00:08:00,200 --> 00:08:03,800 Speaker 1: a fine line to find. Oh, that's I mean, I'm 137 00:08:03,880 --> 00:08:08,440 Speaker 1: grateful that you all are are having these conversations, and 138 00:08:08,480 --> 00:08:11,000 Speaker 1: I think your listeners probably appreciate it too. I think 139 00:08:11,000 --> 00:08:15,440 Speaker 1: like it really is about binding balance, because it doesn't 140 00:08:15,480 --> 00:08:18,960 Speaker 1: help anybody if we check out and we're just like, yep, 141 00:08:19,040 --> 00:08:20,880 Speaker 1: I guess it's all crap and there's nothing I can do. 142 00:08:20,920 --> 00:08:23,320 Speaker 1: I guess I'll just lay here and die. But it 143 00:08:23,320 --> 00:08:25,840 Speaker 1: also doesn't help anybody, I guess. I guess it's about 144 00:08:25,880 --> 00:08:31,640 Speaker 1: knowing when you need to to check out and how 145 00:08:31,640 --> 00:08:34,760 Speaker 1: to check back in, and you know, you know, nobody 146 00:08:34,800 --> 00:08:38,800 Speaker 1: can stay like staying super super checked in all the 147 00:08:38,840 --> 00:08:41,560 Speaker 1: time as a recipe for burnout. And so we we 148 00:08:41,640 --> 00:08:44,880 Speaker 1: have a lot of real issues and we can't afford 149 00:08:44,920 --> 00:08:46,880 Speaker 1: to have people who are interested and motivated to be 150 00:08:46,960 --> 00:08:50,439 Speaker 1: burnt out. And so yeah, it's it's I am grateful 151 00:08:50,480 --> 00:08:53,240 Speaker 1: for you all modeling that for your listeners because I 152 00:08:53,240 --> 00:08:56,520 Speaker 1: think it's really important and I think it takes like intentional, 153 00:08:56,600 --> 00:08:59,000 Speaker 1: consistent work to make sure that we're showing up as 154 00:08:59,000 --> 00:09:02,080 Speaker 1: our best selves and giving giving ourselves what we need 155 00:09:02,120 --> 00:09:07,000 Speaker 1: without guilt to continue to do that long term. Right, Yeah, 156 00:09:07,160 --> 00:09:09,120 Speaker 1: I agree, and I think we don't hear that enough 157 00:09:09,559 --> 00:09:15,079 Speaker 1: so well, and as in fact that I think this 158 00:09:15,160 --> 00:09:17,600 Speaker 1: is the point in what what we're coming into, and 159 00:09:17,640 --> 00:09:19,480 Speaker 1: I love it. This is why I'm like, even though 160 00:09:19,480 --> 00:09:21,960 Speaker 1: I don't know what's happening in this world, and I 161 00:09:22,040 --> 00:09:26,880 Speaker 1: know it's about to go into amazing world of nineteen 162 00:09:26,920 --> 00:09:30,880 Speaker 1: nineties that I was just trying to figure out my English. Um, 163 00:09:31,200 --> 00:09:33,600 Speaker 1: I love seeing other people enjoy things. And that's the 164 00:09:33,640 --> 00:09:38,000 Speaker 1: other part of that is it's nice to see people 165 00:09:38,200 --> 00:09:41,320 Speaker 1: actually finding joy and that's been a conversation that we've 166 00:09:41,360 --> 00:09:44,640 Speaker 1: had on our podcast recently, because yes, it's a gross, 167 00:09:44,640 --> 00:09:47,360 Speaker 1: gross things, but the way that we are able to 168 00:09:47,400 --> 00:09:50,920 Speaker 1: revitalize ourselves is to remember what brings us joy and 169 00:09:50,960 --> 00:09:55,199 Speaker 1: to dig into it. So let's dig into your joys. Yes, 170 00:09:55,280 --> 00:09:58,320 Speaker 1: I what a love? What a like beautiful set up 171 00:09:58,880 --> 00:10:03,320 Speaker 1: or a joyful conversation? I love that? Yes? Yes, yes, 172 00:10:03,320 --> 00:10:06,680 Speaker 1: all right? I am like ready to veris why don't 173 00:10:06,720 --> 00:10:09,680 Speaker 1: you tell I feel like you're building suspense. Why don't 174 00:10:09,720 --> 00:10:14,200 Speaker 1: you start the episode the conversation that I'm so eager 175 00:10:14,240 --> 00:10:17,200 Speaker 1: to have. Yes, so I on my podcast there are 176 00:10:17,200 --> 00:10:20,120 Speaker 1: no girls on the Internet. Recently spoke to Madelinda No 177 00:10:20,160 --> 00:10:23,440 Speaker 1: No, No No. She's the CEO of the Gina Davis Institute UM, which, 178 00:10:23,440 --> 00:10:25,000 Speaker 1: if you don't know what that is the leading research 179 00:10:25,080 --> 00:10:28,120 Speaker 1: nonprofit working within the entertainment and media industry to achieve 180 00:10:28,160 --> 00:10:30,679 Speaker 1: gender equity in media entertainment and it was started by 181 00:10:30,720 --> 00:10:34,560 Speaker 1: Gina Davis. Yes, Gina Davis shout out to a think 182 00:10:34,559 --> 00:10:37,360 Speaker 1: of their own. We love Gina Davis. She's awesome, UM, 183 00:10:37,400 --> 00:10:40,959 Speaker 1: and it's all about Our conversation was all about that. 184 00:10:41,160 --> 00:10:44,880 Speaker 1: Their new research into what they're calling the Scully Effect. 185 00:10:44,960 --> 00:10:49,840 Speaker 1: And essentially that is the measurable, real world impact that 186 00:10:49,960 --> 00:10:52,960 Speaker 1: Dana Scully from the X Files had in terms of 187 00:10:53,000 --> 00:10:56,040 Speaker 1: inspiring and generation of women and girls to see themselves 188 00:10:56,080 --> 00:10:59,679 Speaker 1: reflected in STEM fields, so the sciences technologies, engineering, and 189 00:10:59,760 --> 00:11:03,760 Speaker 1: math and go into those fields professionally. And so I 190 00:11:04,120 --> 00:11:07,240 Speaker 1: Annie and I are both X Files fans, huge fans 191 00:11:07,240 --> 00:11:10,000 Speaker 1: of Dana Scully. But you know, I think it's so 192 00:11:10,120 --> 00:11:14,880 Speaker 1: interesting because the Scully effect is something that anecdotally, you know, 193 00:11:15,360 --> 00:11:17,640 Speaker 1: we've you probably a would imagine like, yeah, I'm sure 194 00:11:17,679 --> 00:11:20,280 Speaker 1: Dana Scully did have an impact on people, but before 195 00:11:20,480 --> 00:11:23,760 Speaker 1: the Davis Institute did this research, we only have this 196 00:11:23,880 --> 00:11:27,480 Speaker 1: like anecdotal I understanding of it. Now, because of their 197 00:11:27,520 --> 00:11:31,600 Speaker 1: their research, we have a clear, you know, research, evidence 198 00:11:31,640 --> 00:11:38,440 Speaker 1: based backing for this demonstrable, measurable impact that Dana Scully had. Yes, 199 00:11:39,520 --> 00:11:43,000 Speaker 1: I'm like barely retraining from like geeking out so hard 200 00:11:43,080 --> 00:11:46,040 Speaker 1: right now. Yes, And we did talk about this on 201 00:11:46,120 --> 00:11:48,320 Speaker 1: our segment Fictional one Around the World Briefly. We did 202 00:11:48,360 --> 00:11:52,040 Speaker 1: a whole thing on Danna Scully and her wonderful pants suits. Um, 203 00:11:52,080 --> 00:11:54,600 Speaker 1: but it was really cool to read. Um, you can 204 00:11:54,640 --> 00:11:59,480 Speaker 1: find just these really personal quotes from people that they included, 205 00:12:00,200 --> 00:12:02,560 Speaker 1: and I just all of them are resonating with me, 206 00:12:02,600 --> 00:12:06,320 Speaker 1: and they just made me so happy. And I was 207 00:12:06,360 --> 00:12:10,839 Speaker 1: really fortunate when this show was first coming out. Well, 208 00:12:10,880 --> 00:12:13,920 Speaker 1: I was unfortunate and unfortunate in some ways because I 209 00:12:13,920 --> 00:12:17,600 Speaker 1: wasn't allowed to watch it. I was forbidden for watching it, 210 00:12:18,559 --> 00:12:20,520 Speaker 1: but I watched it anyway because I was a rebel 211 00:12:20,640 --> 00:12:26,320 Speaker 1: like that, and I just remember watching it and this character, 212 00:12:28,400 --> 00:12:29,880 Speaker 1: I don't know, there was just something about her that 213 00:12:29,920 --> 00:12:32,400 Speaker 1: commanded a presence and I never questioned, like this is 214 00:12:32,440 --> 00:12:34,320 Speaker 1: a woman in this field. I was just like, yes, 215 00:12:34,400 --> 00:12:36,800 Speaker 1: she belongs there, she's good at it. And I was 216 00:12:36,840 --> 00:12:40,320 Speaker 1: pretty young at that point, and I feel very fortunate 217 00:12:40,360 --> 00:12:43,320 Speaker 1: that I had that that I was like watching this 218 00:12:43,440 --> 00:12:45,880 Speaker 1: character and there was no part of me that's like 219 00:12:45,920 --> 00:12:47,560 Speaker 1: a woman can't do that. I was just like, of 220 00:12:47,559 --> 00:12:49,480 Speaker 1: course she can do it. She's Danias Scully. Look at her. 221 00:12:49,480 --> 00:12:54,720 Speaker 1: She's amazing. Yeah, she definitely has that this presence of 222 00:12:54,720 --> 00:12:57,640 Speaker 1: of like, of course she's doing this, and she's a 223 00:12:57,640 --> 00:13:00,960 Speaker 1: capable woman who like knows her ship. Um. Part of 224 00:13:01,000 --> 00:13:02,840 Speaker 1: it got to be the pants suits. I know that 225 00:13:03,360 --> 00:13:06,040 Speaker 1: the pant suit of his Sionado that's like why she 226 00:13:06,240 --> 00:13:25,240 Speaker 1: is like projecting capability. Yes, you probably this is no 227 00:13:25,320 --> 00:13:28,240 Speaker 1: shock to you. I'm sure. There's like blogs dedicated to 228 00:13:28,280 --> 00:13:31,600 Speaker 1: her fashion, and there's a whole like evolution of her fashion, 229 00:13:31,640 --> 00:13:34,800 Speaker 1: and there was a many discussions that I enjoyed reading about, 230 00:13:35,160 --> 00:13:36,839 Speaker 1: like she felt like she had to wear the pants 231 00:13:36,840 --> 00:13:39,000 Speaker 1: suit to fit into this man's world, but then they 232 00:13:39,040 --> 00:13:41,360 Speaker 1: became more tailored and more feminine and all this like 233 00:13:42,400 --> 00:13:48,760 Speaker 1: dissection of her fashion, which I love. I love. I mean, 234 00:13:48,840 --> 00:13:51,839 Speaker 1: the power suit is huge and what was it three 235 00:13:51,920 --> 00:13:55,160 Speaker 1: years ago when the majority of women came on award 236 00:13:55,200 --> 00:13:59,160 Speaker 1: shows wearing a power suit of pants suit an amazing phenomenon. 237 00:13:59,720 --> 00:14:01,920 Speaker 1: In most of the times, they come with these elegant 238 00:14:01,960 --> 00:14:04,560 Speaker 1: gowns and gorgeous you know Taylor gowns, but they're like, no, 239 00:14:04,600 --> 00:14:07,040 Speaker 1: we're gonna make it sexy in this way. And then 240 00:14:07,040 --> 00:14:10,040 Speaker 1: at one point, like in the queer community, they're like, yes, 241 00:14:10,160 --> 00:14:12,480 Speaker 1: we're here for this, We're here for this person wearing 242 00:14:12,520 --> 00:14:16,160 Speaker 1: this and doing masculine but feminine, but feminine but masculine 243 00:14:16,160 --> 00:14:18,880 Speaker 1: but non binary. We need all of it, and it does. 244 00:14:18,920 --> 00:14:22,760 Speaker 1: It's something about the power of it. You're speaking my language, 245 00:14:22,800 --> 00:14:26,360 Speaker 1: Like I love and and I think they're they're really 246 00:14:26,400 --> 00:14:30,160 Speaker 1: on trend right now. I love an oversized three piece suit, 247 00:14:30,320 --> 00:14:34,240 Speaker 1: like oversized men's style trousers with like a vest and 248 00:14:34,320 --> 00:14:36,400 Speaker 1: a blazer. Love it. I have one that I got 249 00:14:36,440 --> 00:14:38,920 Speaker 1: from Wild Fang that I I wear it whenever I'm 250 00:14:38,920 --> 00:14:42,360 Speaker 1: trying to feel like powerful, That's what I wear. I'm 251 00:14:42,440 --> 00:14:44,360 Speaker 1: here for it. And as you said, I think that 252 00:14:44,400 --> 00:14:46,600 Speaker 1: we're in this moment. I mean, this is just my 253 00:14:46,800 --> 00:14:49,640 Speaker 1: little theory. I think that COVID, when we were all 254 00:14:49,720 --> 00:14:56,240 Speaker 1: on lockdown, really made us question who we dress for 255 00:14:56,360 --> 00:14:59,120 Speaker 1: and what we dress for. And so they have done 256 00:14:59,120 --> 00:15:01,560 Speaker 1: studies were like a lot people came out as non 257 00:15:01,600 --> 00:15:04,360 Speaker 1: binary or realized they were non binary, or realized, you 258 00:15:04,400 --> 00:15:08,480 Speaker 1: know that they maybe this didn't necessarily identify strongly with 259 00:15:08,560 --> 00:15:10,240 Speaker 1: gender and they didn't want to present in that way, 260 00:15:10,240 --> 00:15:12,240 Speaker 1: and that perhaps they had been presenting in that way 261 00:15:12,280 --> 00:15:13,840 Speaker 1: because they had to go to an office every day, 262 00:15:13,880 --> 00:15:16,360 Speaker 1: because they had to like go out every day. And 263 00:15:16,640 --> 00:15:19,320 Speaker 1: I think that COVID really shifted something us in us 264 00:15:19,360 --> 00:15:22,400 Speaker 1: fashion wise, where people are just like, I am gonna 265 00:15:22,440 --> 00:15:25,040 Speaker 1: dress like the cool teen. I always wanted to dress 266 00:15:25,120 --> 00:15:27,960 Speaker 1: like back in and I don't really care what anybody 267 00:15:28,000 --> 00:15:30,280 Speaker 1: thinks like, I love this trend where people are just 268 00:15:30,440 --> 00:15:33,800 Speaker 1: dressing for themselves and I'm here for it like some 269 00:15:33,840 --> 00:15:36,080 Speaker 1: of these, some of these like fashion girlies on TikTok, 270 00:15:36,080 --> 00:15:39,400 Speaker 1: it will be like you got the jeans over the dress, 271 00:15:39,400 --> 00:15:42,000 Speaker 1: over the sweater, over the hat, over the clogs, like 272 00:15:42,440 --> 00:15:44,840 Speaker 1: keep pie, meg it up. I love it like I'm 273 00:15:44,840 --> 00:15:48,240 Speaker 1: here for it. It's the layering of the eighties nineties, 274 00:15:48,480 --> 00:15:51,000 Speaker 1: keep on. Yes, I am here for it. I am 275 00:15:51,000 --> 00:15:53,080 Speaker 1: definitely here for it. I love I love that too, 276 00:15:53,120 --> 00:15:55,840 Speaker 1: and I think that's a solid theory. I've definitely noticed 277 00:15:55,880 --> 00:15:58,160 Speaker 1: within myself where have become very much like, well, why 278 00:15:58,240 --> 00:16:01,400 Speaker 1: wasn't even wearing that before? I didn't like it. It 279 00:16:01,480 --> 00:16:06,200 Speaker 1: wasn't comfortable. Um So I'm I'm on board of this theory, Bridget. 280 00:16:07,600 --> 00:16:13,040 Speaker 1: But okay, I would love to hear your experience with 281 00:16:13,280 --> 00:16:16,520 Speaker 1: X files and Dana Scully. Oh my gosh, where do 282 00:16:16,600 --> 00:16:20,480 Speaker 1: I start? So ill? I was was I'm trying to 283 00:16:20,480 --> 00:16:22,600 Speaker 1: think if I wasn't allowed to watch it. I was 284 00:16:22,840 --> 00:16:25,080 Speaker 1: technically not allowed to watch a lot of stuff growing up, 285 00:16:25,080 --> 00:16:27,760 Speaker 1: but like nobody was really checking, so I was able 286 00:16:27,800 --> 00:16:29,600 Speaker 1: to watch it with no problem. I wouldn't even say, 287 00:16:29,640 --> 00:16:31,240 Speaker 1: I was speaking to watch it. It It was just like 288 00:16:31,600 --> 00:16:33,520 Speaker 1: nobody was really asking a lot of questions about what 289 00:16:33,520 --> 00:16:38,960 Speaker 1: I was watching. So I always was fascinated by, you know, 290 00:16:40,320 --> 00:16:44,880 Speaker 1: aliens and the paranormal, like I collected, well, any kind 291 00:16:44,880 --> 00:16:47,280 Speaker 1: of any kind of like book series was about aliens 292 00:16:47,320 --> 00:16:50,600 Speaker 1: or the paranormal, or like horror I loved. And so 293 00:16:50,760 --> 00:16:53,040 Speaker 1: I was super excited when The X Files came out, 294 00:16:53,080 --> 00:16:55,760 Speaker 1: Like I watched it from the beginning, and because I 295 00:16:56,200 --> 00:16:58,440 Speaker 1: didn't know kind of like what it was, but I 296 00:16:58,520 --> 00:17:00,840 Speaker 1: knew it was about aliens. And I used to wear 297 00:17:00,880 --> 00:17:03,960 Speaker 1: this enamel ring with a a UFO on it, like 298 00:17:04,040 --> 00:17:06,000 Speaker 1: that was that was like my kind of thing, right, 299 00:17:06,359 --> 00:17:08,639 Speaker 1: And so I have been watching from the beginning. I 300 00:17:08,680 --> 00:17:12,160 Speaker 1: had a huge crush on both Scully and Molder, which 301 00:17:12,160 --> 00:17:14,720 Speaker 1: I feel like for a lot of like bisexual folks 302 00:17:14,760 --> 00:17:16,840 Speaker 1: or queer folks, that's like a common thing of Like 303 00:17:17,160 --> 00:17:19,600 Speaker 1: I am confused, like do I want to be Dana Scully, 304 00:17:19,600 --> 00:17:20,960 Speaker 1: don't want to be with her? I don't know. I 305 00:17:21,040 --> 00:17:24,760 Speaker 1: just really love her. Um, I remember, there's a this 306 00:17:24,800 --> 00:17:27,760 Speaker 1: is so embarrassing. There is a it's probably still in 307 00:17:27,840 --> 00:17:30,760 Speaker 1: my parents house somewhere. There was a TV guide with 308 00:17:31,000 --> 00:17:34,680 Speaker 1: um David Dukovany on the cover that I kept because 309 00:17:34,680 --> 00:17:38,960 Speaker 1: it was like a very like attractive picture of dating, 310 00:17:40,400 --> 00:17:42,040 Speaker 1: like I can see it when I closed my eyes. 311 00:17:42,960 --> 00:17:46,600 Speaker 1: I always loved X Files. I kind of stopped watching 312 00:17:46,640 --> 00:17:49,080 Speaker 1: it as I got a bit older, so like the 313 00:17:49,160 --> 00:17:51,440 Speaker 1: dog at Ears are a little bit of a blur 314 00:17:51,560 --> 00:17:54,080 Speaker 1: to me. I recently went back and started watching it 315 00:17:54,240 --> 00:17:56,600 Speaker 1: as you know, as an adult, and some of the 316 00:17:56,640 --> 00:18:00,160 Speaker 1: episodes I feel like really do hold up. They are 317 00:18:00,240 --> 00:18:03,600 Speaker 1: not as you know, like I remember watching them when 318 00:18:03,600 --> 00:18:06,520 Speaker 1: I was a kid and being having my my my 319 00:18:06,640 --> 00:18:09,919 Speaker 1: world blown, my mind blown. They still hold up in 320 00:18:09,960 --> 00:18:11,600 Speaker 1: some ways, but in other ways are kind of like 321 00:18:11,720 --> 00:18:16,240 Speaker 1: nostalgia e But yeah, I've always been a huge fan. Yeah. 322 00:18:16,320 --> 00:18:20,399 Speaker 1: I also had a crush on Scully and Molder and 323 00:18:20,520 --> 00:18:24,640 Speaker 1: I was in so I would have to wake up 324 00:18:24,680 --> 00:18:27,960 Speaker 1: at four thirty am on Sundays and watched it at 325 00:18:27,960 --> 00:18:32,800 Speaker 1: five am because it re ran then. Yeah, so that's 326 00:18:32,800 --> 00:18:35,320 Speaker 1: how I got around my parents rule. And it scared 327 00:18:35,400 --> 00:18:38,200 Speaker 1: the hell out of me, like terrified, but I just 328 00:18:38,440 --> 00:18:40,720 Speaker 1: had to watch it. And this was in the time 329 00:18:40,760 --> 00:18:44,960 Speaker 1: of like handfuls like a non no cell phones allowed, 330 00:18:45,040 --> 00:18:47,960 Speaker 1: and I would call my best friend Katie, who also 331 00:18:48,000 --> 00:18:50,119 Speaker 1: had a crush on both of them, and we would 332 00:18:50,119 --> 00:18:54,800 Speaker 1: watch it together on the phone. You were doing that 333 00:18:54,880 --> 00:18:57,439 Speaker 1: like we used to do that. We would sit on 334 00:18:57,480 --> 00:19:01,600 Speaker 1: like a like either one of those bulky handheld wireless 335 00:19:01,600 --> 00:19:05,280 Speaker 1: phones or a corded We had a corded phone with 336 00:19:05,320 --> 00:19:07,840 Speaker 1: like a carly queue that was amounted to the wall, 337 00:19:08,160 --> 00:19:10,960 Speaker 1: and I would awkwardly stand in the space between my 338 00:19:11,080 --> 00:19:13,399 Speaker 1: kitchen and our living room where the TV was, just 339 00:19:13,480 --> 00:19:15,359 Speaker 1: so I could stay on the phone and watch a 340 00:19:15,440 --> 00:19:19,359 Speaker 1: television shoe with my friend. Like the late nineties, we did. 341 00:19:19,440 --> 00:19:20,480 Speaker 1: We had to do what we had to do to 342 00:19:20,520 --> 00:19:23,240 Speaker 1: connect with people. I guess you hear that, young folks, 343 00:19:23,320 --> 00:19:25,240 Speaker 1: So we had to do what we had to do, 344 00:19:26,800 --> 00:19:32,600 Speaker 1: like early nineties too. So yeah, yes, yes, uh. And 345 00:19:32,680 --> 00:19:33,919 Speaker 1: just because you know, I have to throw in my 346 00:19:33,960 --> 00:19:38,720 Speaker 1: fan fiction fact. X Files was the first big Internet 347 00:19:38,760 --> 00:19:41,359 Speaker 1: fan fiction fantom For that, there was Star Trek, but 348 00:19:41,440 --> 00:19:44,280 Speaker 1: that was in magazines. X Files was one of the 349 00:19:44,320 --> 00:19:47,200 Speaker 1: first big Internet fan fiction fandom. So I would read, 350 00:19:47,880 --> 00:19:51,000 Speaker 1: uh x files fand fiction. Uh. And this was like 351 00:19:51,040 --> 00:19:53,040 Speaker 1: at the height of fear among greg I found around 352 00:19:53,040 --> 00:19:55,399 Speaker 1: fand fiction where they're like, what are these ladies doing 353 00:19:56,600 --> 00:20:06,680 Speaker 1: writing about sex with men and women aliens. I believe 354 00:20:06,760 --> 00:20:08,879 Speaker 1: it that it was like a like big fodder for 355 00:20:08,920 --> 00:20:11,760 Speaker 1: fan fiction because there's just so much there. It's such 356 00:20:11,800 --> 00:20:15,480 Speaker 1: a like, you know, it's such a rich universe, and 357 00:20:15,520 --> 00:20:18,800 Speaker 1: so I definitely like mostly connected with the sort of 358 00:20:18,840 --> 00:20:21,320 Speaker 1: Monster of the Week episodes, even if you wanted to 359 00:20:21,359 --> 00:20:24,199 Speaker 1: like write about those or write about the sort of 360 00:20:24,240 --> 00:20:26,200 Speaker 1: universe's happening in the act within the X Files, the 361 00:20:26,520 --> 00:20:30,199 Speaker 1: the you know, unfolding story within the show. There's just 362 00:20:30,240 --> 00:20:32,760 Speaker 1: so much to lash onto. So I totally get why 363 00:20:32,840 --> 00:20:34,879 Speaker 1: people were like, oh, I gotta turn this into some 364 00:20:34,920 --> 00:20:40,840 Speaker 1: fan fiction. Yeah, there's a lot of ust unresolved sexual tension, 365 00:20:41,040 --> 00:20:47,880 Speaker 1: as I know. I know, I was so excited about 366 00:20:47,920 --> 00:20:54,879 Speaker 1: all this. Uh but yeah, the Skully effects is fascinating 367 00:20:54,880 --> 00:20:59,639 Speaker 1: because it was this character was so impactful and for 368 00:20:59,840 --> 00:21:02,639 Speaker 1: a lot of people and especially young girls, it was 369 00:21:02,680 --> 00:21:07,800 Speaker 1: the first time we were seeing someone like that totally 370 00:21:07,880 --> 00:21:09,959 Speaker 1: and so one of the things that comes up in 371 00:21:10,280 --> 00:21:14,440 Speaker 1: UM the David's Institute's research is how before Dana Scully, 372 00:21:14,440 --> 00:21:16,560 Speaker 1: when she first permitted on The X Files, there were 373 00:21:16,600 --> 00:21:20,679 Speaker 1: not really a lot of women in stem characters on 374 00:21:20,760 --> 00:21:25,159 Speaker 1: primetime television and Honestly, I racked my brain thinking about this, 375 00:21:25,200 --> 00:21:26,919 Speaker 1: and if folks of other examples, I would love to 376 00:21:26,920 --> 00:21:29,840 Speaker 1: hear them. Like, I'm not claiming that this is accurate, 377 00:21:29,920 --> 00:21:31,359 Speaker 1: but this is as far as my brain got me. 378 00:21:31,720 --> 00:21:35,400 Speaker 1: The only two women in STEM that I could think 379 00:21:35,440 --> 00:21:39,000 Speaker 1: of that we're like prominent are obviously who are from 380 00:21:39,040 --> 00:21:43,399 Speaker 1: Star Trek, Michelle Nichols and um Sandra Bullock's character in 381 00:21:43,400 --> 00:21:46,320 Speaker 1: the movie Love Potion Number nine. She's a biochemist. Those 382 00:21:46,359 --> 00:21:48,159 Speaker 1: are the only two examples I can think of. And 383 00:21:48,400 --> 00:21:52,760 Speaker 1: what's so interesting is nowadays a woman who is in 384 00:21:52,880 --> 00:21:55,840 Speaker 1: STEM on television, it's kind of a genre like women 385 00:21:55,880 --> 00:21:59,000 Speaker 1: from C s I or the show Bones or Alias, 386 00:21:59,040 --> 00:22:01,199 Speaker 1: Like it's almost kind of a rope now. But I 387 00:22:01,280 --> 00:22:04,000 Speaker 1: kind of forgot that that wasn't the case really before 388 00:22:04,160 --> 00:22:07,160 Speaker 1: X Files, and that Dana Scully kind of not only 389 00:22:07,160 --> 00:22:10,000 Speaker 1: did she inspire this generation of real world women and 390 00:22:10,040 --> 00:22:12,040 Speaker 1: girls to go into STEM and see themselves in STEM, 391 00:22:12,200 --> 00:22:15,520 Speaker 1: but also kind of created that as a television lane 392 00:22:15,560 --> 00:22:18,560 Speaker 1: that is so so rich now, But it's easy to 393 00:22:18,600 --> 00:22:21,040 Speaker 1: forget how before you know, the X Files coming out 394 00:22:21,040 --> 00:22:23,199 Speaker 1: in the nineties, that really wasn't the case. Like I 395 00:22:23,200 --> 00:22:27,160 Speaker 1: had to rack my brain to think of examples. Yeah, 396 00:22:27,200 --> 00:22:29,800 Speaker 1: And I think that's a really key point to bring 397 00:22:29,880 --> 00:22:31,960 Speaker 1: up in this is that I was I was thinking 398 00:22:31,960 --> 00:22:34,560 Speaker 1: of this too, of like when I was younger, what 399 00:22:34,600 --> 00:22:37,600 Speaker 1: were these characters women in stem? And so many of 400 00:22:37,640 --> 00:22:42,200 Speaker 1: them were inspired by Danna Scully like she was a 401 00:22:42,320 --> 00:22:44,439 Speaker 1: Chaerilblaser in this. And I love kind of the flip 402 00:22:44,480 --> 00:22:48,040 Speaker 1: of their dynamic of her being sort of the skeptical, 403 00:22:48,640 --> 00:22:51,600 Speaker 1: factual scientific one and Molder being kind of the like, 404 00:22:52,000 --> 00:22:54,640 Speaker 1: pulp you my emotions this way. I feel like this 405 00:22:54,680 --> 00:22:56,919 Speaker 1: is right. I don't know, I just really liked it. 406 00:22:57,000 --> 00:22:59,640 Speaker 1: And again, as a kid, I I love that I'd 407 00:22:59,640 --> 00:23:02,880 Speaker 1: never questioned that. I was just like, yep, that's the one. 408 00:23:03,400 --> 00:23:05,919 Speaker 1: Dr Quinn Medicine Woman. I remember her clearly, but she 409 00:23:06,000 --> 00:23:08,440 Speaker 1: came out around the same time as Scully. I will 410 00:23:08,440 --> 00:23:10,760 Speaker 1: say that there's X Files, but that is one show 411 00:23:10,800 --> 00:23:13,680 Speaker 1: I remember clearly because I was like, western doctor, that's 412 00:23:13,720 --> 00:23:18,600 Speaker 1: a woman. What sorry, my head, my grandmother's favorite show. 413 00:23:18,720 --> 00:23:20,600 Speaker 1: She was watching, like that was my that was my 414 00:23:20,720 --> 00:23:24,040 Speaker 1: rest MP. She's probably in heaven watching Dr Medicine Woman, 415 00:23:24,200 --> 00:23:26,879 Speaker 1: and that was that was very much her show. That 416 00:23:26,960 --> 00:23:31,760 Speaker 1: was her when that all came either doctor, hustable, and 417 00:23:31,880 --> 00:23:33,840 Speaker 1: she was a she was a lawyer. She wasn't a doctor. 418 00:23:33,960 --> 00:23:51,040 Speaker 1: Never mind, that doesn't count. I forgot more broadly, women's 419 00:23:51,080 --> 00:23:57,120 Speaker 1: professions on television and television shows were like, they are professionals, 420 00:23:57,200 --> 00:23:59,840 Speaker 1: so they have the job and you see what like, 421 00:24:00,119 --> 00:24:01,960 Speaker 1: but you see them at work, but then you also 422 00:24:02,119 --> 00:24:04,360 Speaker 1: see them in their personal life. I think that's why 423 00:24:04,400 --> 00:24:07,000 Speaker 1: I liked Scully so much, is that you got the 424 00:24:07,080 --> 00:24:11,320 Speaker 1: idea that she was this full, dynamic, complex person. Like 425 00:24:11,800 --> 00:24:14,920 Speaker 1: on the show, you see her grapple with her Catholic faith. 426 00:24:14,960 --> 00:24:17,240 Speaker 1: On the show, you see her grapple with things like infertility, 427 00:24:17,320 --> 00:24:21,239 Speaker 1: like and it's not a caricature of like, I'm a 428 00:24:21,280 --> 00:24:24,480 Speaker 1: woman scientist. You know I don't have any like I 429 00:24:24,520 --> 00:24:27,840 Speaker 1: go home and sit by myself in a dark room 430 00:24:27,880 --> 00:24:31,120 Speaker 1: and wait for science to arrive. Like. This wasn't like that, 431 00:24:31,680 --> 00:24:34,879 Speaker 1: Nor was it this like, oh, my personal life is 432 00:24:34,920 --> 00:24:36,960 Speaker 1: my whole thing and my career takes the back seat. 433 00:24:37,160 --> 00:24:39,879 Speaker 1: It just well, I felt like the show took great 434 00:24:39,920 --> 00:24:42,680 Speaker 1: care and intention to represent her as like a full 435 00:24:42,720 --> 00:24:46,000 Speaker 1: person where yeah, she is a has a demanding job 436 00:24:46,040 --> 00:24:47,960 Speaker 1: that you see a lot of, but she's also a person. 437 00:24:48,040 --> 00:24:50,840 Speaker 1: She's also a woman. She also, you know, has a 438 00:24:50,920 --> 00:24:54,520 Speaker 1: life of her own that we understand that she brings 439 00:24:54,600 --> 00:24:56,919 Speaker 1: to her work every day. And I just really loved that, 440 00:24:57,040 --> 00:25:00,159 Speaker 1: that sort of loving, nuanced depiction of a full man, 441 00:25:00,240 --> 00:25:03,040 Speaker 1: not a caricature. Yeah. And I think there's a really 442 00:25:03,040 --> 00:25:05,520 Speaker 1: great quote. I think it was from Chris Carter, but 443 00:25:05,640 --> 00:25:07,600 Speaker 1: essentially he was saying, like, she's the heart of the show. 444 00:25:07,600 --> 00:25:10,760 Speaker 1: It is her show, and it's like that. I want 445 00:25:10,800 --> 00:25:13,680 Speaker 1: to believe it was more about her because she had 446 00:25:13,720 --> 00:25:15,919 Speaker 1: the struggle with faith and then she was working in 447 00:25:16,000 --> 00:25:24,360 Speaker 1: these X files, right she's I want to believe. Yes, yes, 448 00:25:24,920 --> 00:25:28,400 Speaker 1: the places that are unfolding right now with the realization 449 00:25:28,520 --> 00:25:31,680 Speaker 1: and the crossover is phenomenal. I'm just a spectator and 450 00:25:31,760 --> 00:25:36,000 Speaker 1: it's phenomenal. I can't believe that that's never occurred to me. 451 00:25:36,040 --> 00:25:39,800 Speaker 1: But that's actually quite beautiful, like her being the nucleus 452 00:25:39,920 --> 00:25:42,480 Speaker 1: of the whole story and the story of the being 453 00:25:42,520 --> 00:25:47,320 Speaker 1: about her coming around and her understanding of her faith 454 00:25:47,440 --> 00:25:50,720 Speaker 1: and belief. And wow, that was Sorry, that blew my mind. 455 00:25:52,280 --> 00:25:56,760 Speaker 1: I know, it's so great, it's so great. But okay, 456 00:25:56,800 --> 00:26:00,480 Speaker 1: before we get too off check. Uh. One thing that 457 00:26:00,520 --> 00:26:03,840 Speaker 1: this this study was looking into was like the as 458 00:26:03,840 --> 00:26:06,560 Speaker 1: we said, the real world impact of this character. And 459 00:26:06,600 --> 00:26:10,280 Speaker 1: also yeah, I mean the fact that she was pretty 460 00:26:10,359 --> 00:26:13,680 Speaker 1: rare at the time as a woman in STEM that 461 00:26:13,800 --> 00:26:17,639 Speaker 1: was kind of reflective of what is actually happening in 462 00:26:17,680 --> 00:26:20,199 Speaker 1: our real world totally. And so um, this is some 463 00:26:20,280 --> 00:26:23,320 Speaker 1: information from the David's Institute study. UM, women have advanced 464 00:26:23,400 --> 00:26:26,080 Speaker 1: rapidly in many professional roles since the seventies, but we 465 00:26:26,200 --> 00:26:30,040 Speaker 1: remained underrepresented in STEM professions. Women constitute about half of 466 00:26:30,040 --> 00:26:32,480 Speaker 1: the college educuted workforce in the US, but hold less 467 00:26:32,480 --> 00:26:35,080 Speaker 1: than a quarter of jobs in STEM. Only temper cent 468 00:26:35,119 --> 00:26:37,399 Speaker 1: of graduate degrees earned by women are in STEM fields 469 00:26:37,400 --> 00:26:40,680 Speaker 1: compared to graduate degrees earned by men. And so it's 470 00:26:40,680 --> 00:26:42,600 Speaker 1: important to note before we even get into this that 471 00:26:42,880 --> 00:26:46,199 Speaker 1: this gap is not explained by gender differences. Studies have 472 00:26:46,280 --> 00:26:49,480 Speaker 1: identified many castes of the STEM gender gap, including stereotypes, 473 00:26:49,600 --> 00:26:52,840 Speaker 1: lack of early encouragement from parents and teachers, and gender 474 00:26:52,880 --> 00:26:56,399 Speaker 1: discrimination in STEM field. And so this this, I guess 475 00:26:56,480 --> 00:26:59,800 Speaker 1: before Dana Scully, we really had this attitude, um that 476 00:26:59,880 --> 00:27:02,119 Speaker 1: you alf reflected and television and movies and media of 477 00:27:02,520 --> 00:27:06,080 Speaker 1: a scientist being this like white dude in a lab 478 00:27:06,119 --> 00:27:08,960 Speaker 1: coat who is awkward or maybe a loaner or all 479 00:27:09,000 --> 00:27:12,159 Speaker 1: of that, right, and these are among the factors identified 480 00:27:12,160 --> 00:27:15,480 Speaker 1: as contributing to the gender gap and stem a stereotype 481 00:27:15,560 --> 00:27:19,240 Speaker 1: frequently rendered and entertainment that of the lone, nerdy scientist 482 00:27:19,320 --> 00:27:22,040 Speaker 1: and a lab coat commonly portrayed as a quote mad 483 00:27:22,119 --> 00:27:26,720 Speaker 1: scientist or a socially awkward white man. And so this miss, 484 00:27:26,760 --> 00:27:32,960 Speaker 1: this representation or portrayal, really reinforces the belief that science 485 00:27:33,160 --> 00:27:35,560 Speaker 1: is a male pursuit. It is for men and not 486 00:27:35,600 --> 00:27:37,879 Speaker 1: for women, and it's not not for girls. And so 487 00:27:38,840 --> 00:27:41,480 Speaker 1: that attitude is held by many children at a lescents 488 00:27:41,480 --> 00:27:44,280 Speaker 1: and adults, children that start implicitly pairing men and math 489 00:27:44,320 --> 00:27:46,240 Speaker 1: as early as age seven, and that is a bias 490 00:27:46,400 --> 00:27:49,399 Speaker 1: that continues into adulthood. And so you can really see 491 00:27:49,480 --> 00:27:54,200 Speaker 1: from their from their reporting that this portrayal of men 492 00:27:54,440 --> 00:27:59,159 Speaker 1: as scientists, it adds to this very real world gap 493 00:27:59,400 --> 00:28:01,200 Speaker 1: where women and girls are just like, oh, I guess 494 00:28:01,200 --> 00:28:03,280 Speaker 1: I'm not before I would even ever think to be 495 00:28:03,440 --> 00:28:06,600 Speaker 1: interested in this, I'm already understanding that this is not 496 00:28:06,680 --> 00:28:09,919 Speaker 1: for me because of this representation. And so you know, 497 00:28:10,080 --> 00:28:12,320 Speaker 1: I think a lot of people are like, oh, who cares, 498 00:28:12,359 --> 00:28:14,720 Speaker 1: It's just movies. Is this TV, like, don't you have 499 00:28:14,760 --> 00:28:16,840 Speaker 1: bigger things to talk about? But you can really see 500 00:28:16,880 --> 00:28:21,800 Speaker 1: the real world impact that our media does not represent inclusivity, 501 00:28:21,800 --> 00:28:24,120 Speaker 1: but it does not allow for everybody to see themselves 502 00:28:24,119 --> 00:28:28,040 Speaker 1: reflected in these stories. It has real world impact, yes, 503 00:28:28,359 --> 00:28:31,080 Speaker 1: it yeah, And I think I told this story before, 504 00:28:31,440 --> 00:28:33,320 Speaker 1: but I'll tell it again because it just makes me 505 00:28:33,400 --> 00:28:36,520 Speaker 1: so angry. Now. I math was my favorite subject when 506 00:28:36,520 --> 00:28:39,920 Speaker 1: I was a kid, and I would ask for extra worksheets. Uh. 507 00:28:39,920 --> 00:28:41,720 Speaker 1: And then when I was in seventh grade, a teacher 508 00:28:42,000 --> 00:28:45,560 Speaker 1: told me that I would never get a date if 509 00:28:45,640 --> 00:28:49,480 Speaker 1: I was continued to be better at my male classmates 510 00:28:50,160 --> 00:28:53,360 Speaker 1: in math, because they would think that that would threaten 511 00:28:53,680 --> 00:28:54,960 Speaker 1: like looking back, he was saying I was going to 512 00:28:55,080 --> 00:28:58,360 Speaker 1: threaten their ego essentially. So I gave up maths and 513 00:28:58,360 --> 00:29:01,840 Speaker 1: I didn't go into calculate this, which I really was 514 00:29:01,880 --> 00:29:05,040 Speaker 1: excited to do. And then I went to a technical 515 00:29:05,080 --> 00:29:10,120 Speaker 1: school and I would sneak into classes like physics, but 516 00:29:10,160 --> 00:29:12,280 Speaker 1: I wouldn't actually take them, but I would sneak in 517 00:29:12,320 --> 00:29:15,440 Speaker 1: because I loved them so much. But it felt like 518 00:29:16,200 --> 00:29:18,920 Speaker 1: it just I wasn't supposed to be there or something. 519 00:29:19,520 --> 00:29:22,840 Speaker 1: So it is it's really these messages and these stereotypes 520 00:29:22,920 --> 00:29:25,800 Speaker 1: and all these things were absorbing. I mean that changed 521 00:29:25,840 --> 00:29:27,480 Speaker 1: the course of my life. I'm not saying my life 522 00:29:27,480 --> 00:29:29,240 Speaker 1: would have been better or worse either way, but it 523 00:29:29,320 --> 00:29:32,960 Speaker 1: changed the course of my life. Yeah, when there's no 524 00:29:33,120 --> 00:29:34,800 Speaker 1: telling what you could have done. As well as the 525 00:29:34,840 --> 00:29:37,760 Speaker 1: fact that you're interested in men in general, I was like, 526 00:29:38,080 --> 00:29:43,440 Speaker 1: you probably what That's what bothers me so much now 527 00:29:43,560 --> 00:29:46,880 Speaker 1: is I'm like, I wasn't even into it, but the 528 00:29:47,080 --> 00:29:50,720 Speaker 1: threat of it, they were like that way the teachers 529 00:29:50,720 --> 00:29:52,600 Speaker 1: said it. It It was like, that is a death sentence 530 00:29:52,600 --> 00:29:54,800 Speaker 1: if a if a man won't be interested in you 531 00:29:54,880 --> 00:30:00,680 Speaker 1: the right early sexualization of people in schools, that's in 532 00:30:00,760 --> 00:30:05,480 Speaker 1: a heteronormative way and probably acceptable even though. But you know, 533 00:30:05,640 --> 00:30:08,120 Speaker 1: that's the whole big conversation too in general about representation, 534 00:30:08,240 --> 00:30:10,680 Speaker 1: Like when it comes to gender, that's something that needs 535 00:30:10,680 --> 00:30:12,640 Speaker 1: to be done, But when you go into the deeper 536 00:30:12,720 --> 00:30:16,040 Speaker 1: rabbit hole of the intersectionality and the marginalized community and 537 00:30:16,080 --> 00:30:20,200 Speaker 1: seeing like people of color being represented, that's something that's 538 00:30:20,200 --> 00:30:23,920 Speaker 1: also significant as well, because that's one more deterrent to like, Okay, 539 00:30:24,280 --> 00:30:27,160 Speaker 1: I as a white girl, maybe I can make it 540 00:30:27,160 --> 00:30:30,280 Speaker 1: if I'm a pretty white girl. Then cross my fingers. 541 00:30:30,280 --> 00:30:32,000 Speaker 1: I can do whatever I can do, you know, but 542 00:30:32,000 --> 00:30:35,280 Speaker 1: but anything beyond that, like the representation line is still 543 00:30:35,400 --> 00:30:38,600 Speaker 1: so far down than what it should be even today, 544 00:30:38,680 --> 00:30:43,120 Speaker 1: and obviously we're backtracking, and that's a whole different conversation, uh, 545 00:30:43,120 --> 00:30:45,560 Speaker 1: in itself. And then for Scully also, she was a 546 00:30:45,600 --> 00:30:50,120 Speaker 1: person of authority, which in any kind of profession, any 547 00:30:50,200 --> 00:30:54,480 Speaker 1: kind of assumption is anyone who is feminine should not 548 00:30:54,520 --> 00:30:56,960 Speaker 1: be an authority figure. And so to have to see 549 00:30:57,000 --> 00:30:59,160 Speaker 1: that too has got to be a phenomenal Take again 550 00:30:59,200 --> 00:31:01,600 Speaker 1: with that power suit, because that puts you in that 551 00:31:01,680 --> 00:31:05,800 Speaker 1: place of authority once again. Let's just say absolutely, it's 552 00:31:05,800 --> 00:31:08,720 Speaker 1: of my little cousins. Um. They're obsessed with that show 553 00:31:08,840 --> 00:31:10,720 Speaker 1: doc Mixed stuffins, which if you don't if you don't 554 00:31:10,720 --> 00:31:12,120 Speaker 1: have children in your life, you might not know what 555 00:31:12,160 --> 00:31:14,360 Speaker 1: that is. But it's a little black girl who is 556 00:31:14,400 --> 00:31:17,360 Speaker 1: a doctor, and you know just how important it is 557 00:31:17,400 --> 00:31:20,280 Speaker 1: for them to see, you know, little black and brown 558 00:31:20,320 --> 00:31:24,520 Speaker 1: girls like them as doctors, as decision makers is powerful 559 00:31:24,640 --> 00:31:28,280 Speaker 1: and you know it, Sam you mentioned earlier, how like 560 00:31:28,480 --> 00:31:31,640 Speaker 1: we're in this moment where that's being threatened. Whenever I 561 00:31:31,760 --> 00:31:37,520 Speaker 1: hear a full grown adult who complains about things like, um, 562 00:31:37,760 --> 00:31:41,960 Speaker 1: what's that new movie where the girl turns into a 563 00:31:42,000 --> 00:31:47,360 Speaker 1: panda turning down? Whenever I hear full grown adults say 564 00:31:47,400 --> 00:31:50,040 Speaker 1: things like oh why do they have to make these 565 00:31:50,040 --> 00:31:53,560 Speaker 1: shows woke now, like blah blah blah, I want to 566 00:31:55,280 --> 00:31:59,600 Speaker 1: scream so loud and turn into a pile of like ash. 567 00:31:59,720 --> 00:32:03,600 Speaker 1: It was so angry because it's like, don't you understand, 568 00:32:03,720 --> 00:32:07,200 Speaker 1: you dip, this is important for kids. It is important 569 00:32:07,200 --> 00:32:10,000 Speaker 1: for kids to see themselves reflected, like I could still 570 00:32:10,040 --> 00:32:13,600 Speaker 1: tell you like it's it was so rare to see 571 00:32:13,680 --> 00:32:17,000 Speaker 1: black women on mainstream television where I was growing up. Like, 572 00:32:17,040 --> 00:32:18,760 Speaker 1: in addition to things like X Files, I was also 573 00:32:18,800 --> 00:32:22,160 Speaker 1: just big into movies and TV and stuff is in general. 574 00:32:22,640 --> 00:32:26,680 Speaker 1: I would watch like John Hughes movies or like teen movies, 575 00:32:27,000 --> 00:32:29,800 Speaker 1: and if I saw like a black woman in the background, 576 00:32:29,840 --> 00:32:32,200 Speaker 1: I would like pause it and be like, there's there's 577 00:32:32,200 --> 00:32:35,000 Speaker 1: a black woman back there. Like that. It's so pathetic 578 00:32:35,040 --> 00:32:37,600 Speaker 1: and sad looking back, but like, I was so thirsty 579 00:32:37,720 --> 00:32:40,480 Speaker 1: to see myself represented that I would take whatever little 580 00:32:40,520 --> 00:32:43,160 Speaker 1: crumbs that I could get. And so when full grown 581 00:32:43,200 --> 00:32:47,240 Speaker 1: adults in two talk about how, oh well, back in 582 00:32:47,360 --> 00:32:50,600 Speaker 1: my day. It just used to be white men on TV. 583 00:32:50,680 --> 00:32:52,560 Speaker 1: Why did they gotta make it woke? Blah blah blah. 584 00:32:52,880 --> 00:32:55,680 Speaker 1: It makes me so angry because what they're saying is 585 00:32:56,120 --> 00:32:58,040 Speaker 1: we should go back to a time or people who 586 00:32:58,040 --> 00:33:00,520 Speaker 1: look like we do should have should be set satisfied 587 00:33:00,520 --> 00:33:03,480 Speaker 1: with the crumbs. And they don't understand how important and 588 00:33:03,520 --> 00:33:05,800 Speaker 1: how impactful it is to see yourself represented. And they're 589 00:33:05,800 --> 00:33:09,520 Speaker 1: trying to take that that powerful thing away from a 590 00:33:09,560 --> 00:33:12,000 Speaker 1: new generation and we and we didn't really have it 591 00:33:12,080 --> 00:33:13,400 Speaker 1: like that, like we had to take that we can 592 00:33:13,480 --> 00:33:16,840 Speaker 1: get right, And so what they are saying is, you know, 593 00:33:17,480 --> 00:33:19,840 Speaker 1: we need to go back to a time when little 594 00:33:19,840 --> 00:33:22,600 Speaker 1: brown girls and little girls and little black girls need 595 00:33:22,680 --> 00:33:25,320 Speaker 1: to be satisfied with whatever little scraps they get of 596 00:33:25,320 --> 00:33:28,000 Speaker 1: seeing themselves reflected, and the majority of it needs to 597 00:33:28,040 --> 00:33:32,760 Speaker 1: be reflecting my experience, which is already reflected everywhere, every everywhere, time, 598 00:33:32,800 --> 00:33:35,920 Speaker 1: every time you turn around like it. It infuriates me. 599 00:33:36,240 --> 00:33:37,880 Speaker 1: And also it's just one of those things where it's like, 600 00:33:38,320 --> 00:33:41,400 Speaker 1: you're a grown man, why do you care what movies are? 601 00:33:41,600 --> 00:33:44,240 Speaker 1: Why are yourself upset about this? Right? And I love 602 00:33:44,280 --> 00:33:46,640 Speaker 1: that he is so upset that he didn't get representation 603 00:33:46,680 --> 00:33:50,080 Speaker 1: in that, and you're like, but wait, um, there's so 604 00:33:50,080 --> 00:33:52,800 Speaker 1: many other movies that you have no representation, and but 605 00:33:52,880 --> 00:33:55,640 Speaker 1: you're okay with because it's not at least a marginalized 606 00:33:55,680 --> 00:33:59,000 Speaker 1: person that can take credit in being like, Hey, look, 607 00:33:59,160 --> 00:34:03,680 Speaker 1: we're accessible. That's wonderful, we're human. What oh my god? 608 00:34:03,800 --> 00:34:06,720 Speaker 1: Exactly that. And what's so interesting to me is basically, 609 00:34:06,960 --> 00:34:10,160 Speaker 1: when you pull that argument apart, what they're basically saying 610 00:34:10,239 --> 00:34:12,640 Speaker 1: is that, so, I'm a black woman, but I was 611 00:34:12,680 --> 00:34:15,080 Speaker 1: impacted by Dana Scully even though she's a white woman, right, 612 00:34:15,120 --> 00:34:18,719 Speaker 1: And so I saw part of my experience reflected in her, 613 00:34:19,080 --> 00:34:21,440 Speaker 1: you know, her experience on the expels, but not fully right. 614 00:34:21,480 --> 00:34:26,720 Speaker 1: And so certainly marginalized people have have had to find 615 00:34:27,000 --> 00:34:30,520 Speaker 1: reflections of themselves in characters that do not look like them, right, 616 00:34:30,560 --> 00:34:32,680 Speaker 1: So that's just like part of our experience. What they're 617 00:34:32,680 --> 00:34:36,880 Speaker 1: actually saying is that white a white straight man couldn't 618 00:34:37,200 --> 00:34:39,640 Speaker 1: could not do the same, that they're unable to see 619 00:34:39,680 --> 00:34:42,560 Speaker 1: their own experiences reflected in characters that do not look 620 00:34:42,600 --> 00:34:44,239 Speaker 1: like them. And so I feel like, when you really 621 00:34:44,280 --> 00:34:47,959 Speaker 1: pull that argument apart, it's incredibly like white men should 622 00:34:48,000 --> 00:34:50,800 Speaker 1: be offended by the implication that they're unable to connect 623 00:34:50,840 --> 00:34:53,880 Speaker 1: with characters who are not white men like we people 624 00:34:53,920 --> 00:34:56,920 Speaker 1: of color and women and other marginalized communities have to 625 00:34:56,960 --> 00:34:59,680 Speaker 1: do it every day just to like enjoy media and 626 00:34:59,680 --> 00:35:03,000 Speaker 1: connect with media. So this idea that like, oh, a 627 00:35:03,080 --> 00:35:06,840 Speaker 1: white guy wouldn't be able to connect with Molanna or 628 00:35:06,880 --> 00:35:10,200 Speaker 1: something like they ought to be offended because marginalized people 629 00:35:10,200 --> 00:35:12,400 Speaker 1: are asked to do it every day, right, kind of 630 00:35:12,400 --> 00:35:16,319 Speaker 1: comes to the point of um, when people do celebrate it, 631 00:35:16,320 --> 00:35:18,640 Speaker 1: it's becomes Okay, well, you we've done it. That's it. 632 00:35:18,800 --> 00:35:20,480 Speaker 1: That's all you can have. That's the quantity, that's the 633 00:35:20,719 --> 00:35:22,480 Speaker 1: that's the limit that we have. We can only have 634 00:35:22,560 --> 00:35:26,719 Speaker 1: one marginalized person per quarter to make money and take 635 00:35:26,800 --> 00:35:29,040 Speaker 1: up screen time in the story. And it kind of 636 00:35:29,040 --> 00:35:31,799 Speaker 1: feels that way even with like X files being big, 637 00:35:31,840 --> 00:35:33,279 Speaker 1: but they're like, all right, we got a woman in there, 638 00:35:33,320 --> 00:35:34,759 Speaker 1: but we also have that dude in here because we 639 00:35:34,800 --> 00:35:36,600 Speaker 1: got it. We gotta even this sound because it can't 640 00:35:36,600 --> 00:35:42,000 Speaker 1: be too female centrics. So but we'll give her this 641 00:35:42,160 --> 00:35:44,560 Speaker 1: and celebrate it. And it's it should be celebrated because 642 00:35:44,560 --> 00:35:46,680 Speaker 1: it did impact it, but it's also you know, it's 643 00:35:46,920 --> 00:35:51,320 Speaker 1: limited quantities. Yeah, I think I think that's a feeling 644 00:35:51,360 --> 00:35:54,600 Speaker 1: that really persists in media and Hollywood, that like you 645 00:35:54,640 --> 00:35:58,319 Speaker 1: can't have more than one, and I think it's I 646 00:35:58,320 --> 00:36:01,279 Speaker 1: think it's really used to perpet wait, like a a 647 00:36:01,360 --> 00:36:04,640 Speaker 1: scarcity myth that oh, so like if I'm a black 648 00:36:04,640 --> 00:36:06,600 Speaker 1: woman and I'm trying out for something and another black 649 00:36:06,600 --> 00:36:08,560 Speaker 1: woman is trying out for something, she has to be 650 00:36:08,640 --> 00:36:11,440 Speaker 1: my enemy because there's only room for one, and that 651 00:36:11,520 --> 00:36:14,200 Speaker 1: line of thinking is so it's just it's there's room 652 00:36:14,239 --> 00:36:16,080 Speaker 1: for all of us, there's room for all of our stories. 653 00:36:16,080 --> 00:36:18,680 Speaker 1: And I think it really it really reinforces this attitude 654 00:36:18,680 --> 00:36:20,960 Speaker 1: that we should be against each other when in reality, 655 00:36:21,000 --> 00:36:27,240 Speaker 1: we should be with each other for all of us. Yeah. Yeah. 656 00:36:27,280 --> 00:36:28,960 Speaker 1: Somebody sent me an article the other day and it 657 00:36:29,000 --> 00:36:31,759 Speaker 1: was really cute and sweet article, but it was about 658 00:36:31,760 --> 00:36:34,200 Speaker 1: like a queer reading of this show I was reading, 659 00:36:34,200 --> 00:36:37,480 Speaker 1: and I was like, yeah, I mean this is great, 660 00:36:37,760 --> 00:36:39,440 Speaker 1: but it felt like there's a part of me that 661 00:36:39,480 --> 00:36:41,759 Speaker 1: felt so sad that it was like trying to find 662 00:36:41,760 --> 00:36:46,960 Speaker 1: these clues that there was this actual queer relationship happening, 663 00:36:46,960 --> 00:36:52,120 Speaker 1: and I just had this moment of like made me 664 00:36:52,120 --> 00:36:56,400 Speaker 1: really sad. I think it really is like we have 665 00:36:56,440 --> 00:36:59,400 Speaker 1: had to be nourished by so little and so you know, 666 00:37:00,080 --> 00:37:03,360 Speaker 1: pausing a screen where two characters share a knowing glance 667 00:37:03,440 --> 00:37:06,080 Speaker 1: or something and having and like having to be nourished 668 00:37:06,080 --> 00:37:09,759 Speaker 1: by that. When we deserve full stories. We deserve to 669 00:37:09,800 --> 00:37:15,239 Speaker 1: see queer couples, you know, actually engaging in in like 670 00:37:15,560 --> 00:37:18,520 Speaker 1: a you know, relationship and not having one of them 671 00:37:18,600 --> 00:37:20,920 Speaker 1: die in the end or something like that. Like we 672 00:37:21,000 --> 00:37:24,279 Speaker 1: deserve that. Yeah, I'm telling you, bridget every time you 673 00:37:24,360 --> 00:37:25,960 Speaker 1: go on here, and like, let us just have a 674 00:37:26,040 --> 00:37:29,719 Speaker 1: venting session. Um. We returned to this in a later 675 00:37:29,800 --> 00:37:46,840 Speaker 1: day thoughts for sure, Yeah, we should go back to 676 00:37:46,920 --> 00:37:49,200 Speaker 1: Dana's gully and maybe like what if people don't know 677 00:37:49,280 --> 00:37:52,440 Speaker 1: what the xpils is? Okay, so if you don't know 678 00:37:52,440 --> 00:37:54,799 Speaker 1: what the X files are, first of all, what are 679 00:37:54,800 --> 00:37:58,560 Speaker 1: you doing with your life? No, just kidding, I know 680 00:37:59,480 --> 00:38:10,200 Speaker 1: Shelter had on a lot. That's what we watched, Okay, Okay, 681 00:38:10,760 --> 00:38:15,040 Speaker 1: we can watch a scary things Okay, in case you 682 00:38:15,080 --> 00:38:17,520 Speaker 1: didn't watch it. Um. It was a show that first 683 00:38:17,520 --> 00:38:22,239 Speaker 1: premiered on September and Dana Scully is a surgeon working 684 00:38:22,280 --> 00:38:24,640 Speaker 1: as a special agent for the FBI alongside our partner 685 00:38:24,640 --> 00:38:27,879 Speaker 1: Fox Molder. And together they investigate the X files, which 686 00:38:27,880 --> 00:38:32,600 Speaker 1: are unsolved FBI cases caused by unexplained phenomena um. And 687 00:38:32,719 --> 00:38:37,160 Speaker 1: usually it's something involving aliens or the supernatural, like something 688 00:38:37,239 --> 00:38:40,239 Speaker 1: kind of scary going on. And so, as we said, 689 00:38:40,360 --> 00:38:42,719 Speaker 1: Molder is kind of the wild card who is open 690 00:38:42,760 --> 00:38:45,319 Speaker 1: to the possibility of the paranormal, where Scully has sort 691 00:38:45,320 --> 00:38:48,560 Speaker 1: of played us the like logical officship capable one um. 692 00:38:48,680 --> 00:38:52,320 Speaker 1: And yeah, so like that's sort of a breakdown of 693 00:38:52,320 --> 00:38:55,200 Speaker 1: of what the X files were and like why nerd 694 00:38:55,239 --> 00:38:57,520 Speaker 1: weirdo is like me and Annie were so obsessed with 695 00:38:57,840 --> 00:39:02,200 Speaker 1: growing up. Oh and we were not the only ones, 696 00:39:02,280 --> 00:39:05,600 Speaker 1: and this is part of what led to the Scully effect, 697 00:39:06,120 --> 00:39:10,399 Speaker 1: that's right. And so again, like before this research from 698 00:39:10,400 --> 00:39:12,719 Speaker 1: the Davis Institute, the Scully effect was just like a 699 00:39:12,920 --> 00:39:15,640 Speaker 1: like an anecdotal thing that people assumed, but there wasn't 700 00:39:15,640 --> 00:39:18,080 Speaker 1: really any research to back it. And so their study 701 00:39:18,200 --> 00:39:20,879 Speaker 1: really is kind of groundbreaking and that it really demonstrates 702 00:39:20,920 --> 00:39:23,719 Speaker 1: the real world impact that that her character had. And 703 00:39:23,760 --> 00:39:26,360 Speaker 1: so a little bit about how the researchers at the 704 00:39:26,400 --> 00:39:28,759 Speaker 1: Davis Institute did the study. First, I should say I 705 00:39:28,760 --> 00:39:30,600 Speaker 1: am no methodologist, So if you want to hear the 706 00:39:30,680 --> 00:39:32,520 Speaker 1: nitty gritty, you should listen to my episode of their 707 00:39:32,560 --> 00:39:35,080 Speaker 1: No Girls on the Internet with the Davis Institute CEO, 708 00:39:35,200 --> 00:39:37,759 Speaker 1: because she really breaks it down and it's fascinating. But 709 00:39:38,000 --> 00:39:40,400 Speaker 1: a simplified version that I can explain is that, in 710 00:39:40,480 --> 00:39:43,400 Speaker 1: order to assess the Scully effect, researchers conducted an online 711 00:39:43,440 --> 00:39:47,600 Speaker 1: survey from w A fifteenth to February eighteen using an 712 00:39:47,600 --> 00:39:51,120 Speaker 1: open sample of two thousand, twenty one participants. The sample 713 00:39:51,120 --> 00:39:54,880 Speaker 1: was demographically representative and waited to be representative to women 714 00:39:54,960 --> 00:39:57,520 Speaker 1: in the US population based on age which is twenty 715 00:39:57,520 --> 00:40:00,600 Speaker 1: five or older, STEM involvement and young of the X 716 00:40:00,640 --> 00:40:05,640 Speaker 1: Files and the researchers on this study basically found significant 717 00:40:05,680 --> 00:40:08,600 Speaker 1: evidence of the Skully effect when it comes to attitudes 718 00:40:08,640 --> 00:40:11,760 Speaker 1: towards STEM, working in a STEM field, and viewing Scully 719 00:40:11,880 --> 00:40:14,680 Speaker 1: as a role model. Um so yeah, pretty, It's like 720 00:40:14,719 --> 00:40:19,320 Speaker 1: they found pretty conclusive evidence that she had a material, 721 00:40:19,520 --> 00:40:24,040 Speaker 1: measurable impact on women and girls seeing themselves in STEM. Yeah. 722 00:40:24,040 --> 00:40:26,919 Speaker 1: And again, uh you can. You can look this up 723 00:40:27,000 --> 00:40:29,240 Speaker 1: and there are some really lovely quotes you can find 724 00:40:29,239 --> 00:40:33,320 Speaker 1: about it. And I loved people women sharing their stories 725 00:40:33,320 --> 00:40:35,719 Speaker 1: of watching it when they were younger and thinking like 726 00:40:35,880 --> 00:40:38,279 Speaker 1: having those like seeds planted of oh I could do 727 00:40:38,320 --> 00:40:41,400 Speaker 1: this or that's them talking about the importance of watching 728 00:40:41,400 --> 00:40:44,279 Speaker 1: her with their friends and how that impacted them. I 729 00:40:44,320 --> 00:40:46,520 Speaker 1: love it. I love it. It's it's really great to 730 00:40:46,600 --> 00:40:48,359 Speaker 1: like just a little bit of a breakdown. I won't 731 00:40:48,360 --> 00:40:50,520 Speaker 1: get into like the whole thing, but like, if folks 732 00:40:50,560 --> 00:40:52,960 Speaker 1: want to find the study, it's really easy to find 733 00:40:52,960 --> 00:40:55,680 Speaker 1: if you just google Skully effect. But UM, Women who 734 00:40:55,680 --> 00:40:58,200 Speaker 1: are medium or heavy watches on the X files hold 735 00:40:58,239 --> 00:41:01,400 Speaker 1: more positive views of STEM that non or light watchers, 736 00:41:01,520 --> 00:41:04,560 Speaker 1: and several survey questions linked this directly to the influence 737 00:41:04,560 --> 00:41:07,319 Speaker 1: of Scully's character. Nearly two thirds of women who are 738 00:41:07,320 --> 00:41:09,640 Speaker 1: familiar with Scully say that she increased their belief in 739 00:41:09,640 --> 00:41:12,360 Speaker 1: the importance of STEM, and a greater percentage of medium 740 00:41:12,360 --> 00:41:14,960 Speaker 1: and heavy watchers of the X Files strongly believe that 741 00:41:15,000 --> 00:41:17,759 Speaker 1: young women should be encouraged to study STEM the non 742 00:41:17,960 --> 00:41:20,760 Speaker 1: or light viewers of the X files UM and another 743 00:41:20,760 --> 00:41:23,840 Speaker 1: thing like. They asked participants the question I would encourage 744 00:41:23,840 --> 00:41:26,279 Speaker 1: my daughter or granddaughter to enter a STEM field, and 745 00:41:26,520 --> 00:41:29,080 Speaker 1: more folks who watched the X file said yes to 746 00:41:29,120 --> 00:41:31,200 Speaker 1: that question than folks who didn't watch it or like 747 00:41:31,320 --> 00:41:34,920 Speaker 1: watch it occasionally, and so yeah, it seems really clear 748 00:41:35,000 --> 00:41:38,279 Speaker 1: that there was this like documented impact that she had 749 00:41:38,320 --> 00:41:42,040 Speaker 1: on women and girls. Ah, I love it so much. 750 00:41:42,360 --> 00:41:48,000 Speaker 1: I love it so much. Yeah, and from what I 751 00:41:48,040 --> 00:41:54,640 Speaker 1: remember reading about it, uh, almost everyone, well almost every 752 00:41:54,719 --> 00:41:59,040 Speaker 1: quote that I read from people was saying like this 753 00:41:59,120 --> 00:42:01,560 Speaker 1: had a I wouldn't go back and do it differently, 754 00:42:01,680 --> 00:42:03,760 Speaker 1: or had such a big impact, and I'm so grateful 755 00:42:03,800 --> 00:42:07,120 Speaker 1: for it, Like I'm glad that I had this representation. 756 00:42:07,320 --> 00:42:12,120 Speaker 1: And then I saw that, which is beautiful that you know, 757 00:42:12,200 --> 00:42:14,560 Speaker 1: you saw this character and they were like, oh, you 758 00:42:14,560 --> 00:42:18,160 Speaker 1: know what, that's what I want to do. Yeah. So 759 00:42:18,360 --> 00:42:21,280 Speaker 1: medium and heavy watchers of X Files are more likely 760 00:42:21,320 --> 00:42:23,200 Speaker 1: to strongly agree with the statement if I could go 761 00:42:23,280 --> 00:42:25,279 Speaker 1: back and do it again, I would have studied or 762 00:42:25,320 --> 00:42:28,319 Speaker 1: worked in an industry that is STEM over non or 763 00:42:28,440 --> 00:42:31,359 Speaker 1: light viewers, and so her her character even creates this 764 00:42:31,440 --> 00:42:34,359 Speaker 1: vibe for women and girls who did not go into 765 00:42:34,400 --> 00:42:36,399 Speaker 1: STEM to be like God. When I watched the show, 766 00:42:36,520 --> 00:42:39,000 Speaker 1: part of me wonders what if I had and like, 767 00:42:39,320 --> 00:42:41,480 Speaker 1: I'm I don't. I guess to consider myself like a 768 00:42:41,520 --> 00:42:44,320 Speaker 1: woman in SEM I have a technology podcast and I 769 00:42:44,440 --> 00:42:47,200 Speaker 1: kind of work in tech adjacent field. But you know, 770 00:42:47,280 --> 00:42:50,480 Speaker 1: I often when I watched the X Files, I think, like, 771 00:42:50,640 --> 00:42:52,279 Speaker 1: what would my life have been like if I had 772 00:42:52,360 --> 00:42:56,600 Speaker 1: followed a different trajectory, right, like my dad as an engineer. 773 00:42:56,640 --> 00:42:58,960 Speaker 1: And to say that I grew up in a household 774 00:42:59,000 --> 00:43:03,239 Speaker 1: where I was encouraged to go into engineering is an understatement, 775 00:43:03,280 --> 00:43:05,960 Speaker 1: because like I was sent to like engineering summer camp 776 00:43:06,000 --> 00:43:09,759 Speaker 1: and stuff, but I still battled this internal perception that 777 00:43:09,840 --> 00:43:12,600 Speaker 1: it wasn't for me. And I'm so glad that this 778 00:43:12,760 --> 00:43:16,480 Speaker 1: character is impacting people in this way where they can 779 00:43:16,600 --> 00:43:19,520 Speaker 1: really see themselves and even if they didn't go into STEM, 780 00:43:19,560 --> 00:43:22,120 Speaker 1: it gives them that confidence that maybe they could have 781 00:43:22,239 --> 00:43:25,600 Speaker 1: even if they didn't. Yeah, that's a good point, um that, 782 00:43:25,640 --> 00:43:29,760 Speaker 1: because that's really powerful too. And something else I believe. 783 00:43:29,760 --> 00:43:32,600 Speaker 1: In the study, they asked about people who particularly viewed 784 00:43:32,680 --> 00:43:37,560 Speaker 1: Scully as a role model. Right, that's right. So most 785 00:43:37,560 --> 00:43:39,640 Speaker 1: of the women in the sample considered Dana Scully to 786 00:43:39,680 --> 00:43:42,000 Speaker 1: be a role model for women and girls, and women 787 00:43:42,000 --> 00:43:44,520 Speaker 1: who work in the STEM fields are particularly likely to 788 00:43:44,520 --> 00:43:46,920 Speaker 1: see her this way. Nearly two thirds of women who 789 00:43:46,920 --> 00:43:49,880 Speaker 1: work in STEM say that Scully served as their role model. 790 00:43:50,440 --> 00:43:53,840 Speaker 1: Among the women who are familiar with Scully's character that 791 00:43:53,840 --> 00:43:56,680 Speaker 1: Scully increase their confidence that they could excel at a 792 00:43:56,680 --> 00:44:00,319 Speaker 1: male dominated profession. So yeah, I mean like she is 793 00:44:00,360 --> 00:44:03,279 Speaker 1: a role model. And when they asked the participants like 794 00:44:03,320 --> 00:44:05,600 Speaker 1: what words come to mind when you think of her, 795 00:44:05,920 --> 00:44:09,880 Speaker 1: they gave words like strong, intelligent, smart, and so again 796 00:44:09,920 --> 00:44:12,560 Speaker 1: like how important it is not just to see a 797 00:44:12,600 --> 00:44:14,680 Speaker 1: woman in STEM, but a woman in STEM who is 798 00:44:14,719 --> 00:44:17,560 Speaker 1: like kicking ass and making decisions and really good at 799 00:44:17,560 --> 00:44:20,319 Speaker 1: her job. Yeah, I mean, I haven't watched the show 800 00:44:20,400 --> 00:44:24,279 Speaker 1: since uh a long a long time. I watched it too, 801 00:44:24,320 --> 00:44:26,399 Speaker 1: from beginning to end, but I don't think I've gone 802 00:44:26,400 --> 00:44:29,680 Speaker 1: back since then. But I remember my perception as a 803 00:44:29,800 --> 00:44:33,319 Speaker 1: young girl being like she was the more competent one 804 00:44:33,400 --> 00:44:36,879 Speaker 1: of Scully and Boulder. She was kind of like trying 805 00:44:36,920 --> 00:44:41,799 Speaker 1: to keep him together. And I just it did have 806 00:44:42,120 --> 00:44:45,560 Speaker 1: a massive impacts on me, and me and my friend 807 00:44:45,880 --> 00:44:47,600 Speaker 1: and my best friend who would watched it over the 808 00:44:47,640 --> 00:44:51,600 Speaker 1: phone with we were both determined, Uh, we had it 809 00:44:51,640 --> 00:44:53,120 Speaker 1: in her heads that we were going to find the 810 00:44:53,200 --> 00:44:56,480 Speaker 1: cure free bowlot And I'm not sure like if we 811 00:44:56,520 --> 00:44:58,680 Speaker 1: would have had that if if I wasn't watching this 812 00:44:58,719 --> 00:45:03,319 Speaker 1: show where I was watching this woman just dominate in 813 00:45:03,360 --> 00:45:08,560 Speaker 1: the lab. So it did. I just it is. It 814 00:45:08,640 --> 00:45:11,319 Speaker 1: is powerful and again, I just I love that when 815 00:45:11,360 --> 00:45:16,200 Speaker 1: I look back on it, I just believed that I 816 00:45:16,800 --> 00:45:19,000 Speaker 1: wanted to believe and I did because she was. She 817 00:45:19,239 --> 00:45:21,360 Speaker 1: was just badass. There was no question about it. She 818 00:45:21,440 --> 00:45:26,480 Speaker 1: just was. She First of all, she saved Molders asked 819 00:45:27,000 --> 00:45:28,960 Speaker 1: all the time on the show, like he was always 820 00:45:29,000 --> 00:45:32,439 Speaker 1: getting them into situations and she was always having to 821 00:45:32,440 --> 00:45:34,880 Speaker 1: clean up his messages and like it's like say like 822 00:45:34,960 --> 00:45:37,160 Speaker 1: say both there, asked, So she was definitely like the 823 00:45:37,239 --> 00:45:41,840 Speaker 1: like the more, the more competent the FBI agent of 824 00:45:41,920 --> 00:45:45,680 Speaker 1: the duo for sure. And yeah, I think like I 825 00:45:45,719 --> 00:45:48,080 Speaker 1: think it's just a it's just a testament to the 826 00:45:48,160 --> 00:45:52,400 Speaker 1: power of the stories and why it's so important that 827 00:45:52,480 --> 00:45:53,920 Speaker 1: we had them. And again, as I was saying, I 828 00:45:53,960 --> 00:45:57,200 Speaker 1: think it's easy to say who cares? Just TV like 829 00:45:57,239 --> 00:45:58,960 Speaker 1: it's not really having an impact, it's just you know, 830 00:45:59,000 --> 00:46:02,960 Speaker 1: mindless entertainment. But representation really matters. And I know it's 831 00:46:03,000 --> 00:46:05,439 Speaker 1: not the only thing that matters, but it is really 832 00:46:05,480 --> 00:46:09,320 Speaker 1: important because when we can see ourselves reflected, it create 833 00:46:09,360 --> 00:46:12,840 Speaker 1: It creates a world where the possibility has become that 834 00:46:13,120 --> 00:46:17,000 Speaker 1: much more real and that much more endless for us. 835 00:46:17,000 --> 00:46:19,440 Speaker 1: And you know, I guess I I know I've said 836 00:46:19,480 --> 00:46:21,279 Speaker 1: this a couple of times, but I just really do 837 00:46:21,360 --> 00:46:25,800 Speaker 1: believe that our stories are valuable and that we, or 838 00:46:25,880 --> 00:46:28,960 Speaker 1: when I say we, I mean women, queer folks, black folks, 839 00:46:28,960 --> 00:46:31,319 Speaker 1: trans folks, like all of us, we deserved it to 840 00:46:31,320 --> 00:46:34,120 Speaker 1: see ourselves reflected, and we shouldn't have to be satisfied 841 00:46:34,200 --> 00:46:37,239 Speaker 1: with like pausing the show to point to someone who 842 00:46:37,280 --> 00:46:39,680 Speaker 1: looks like us or like you know, even though it 843 00:46:39,719 --> 00:46:42,839 Speaker 1: can be very fun, like inventing a whole queer relationship. 844 00:46:43,120 --> 00:46:46,800 Speaker 1: We deserve to have fun recreationally inventing a queer relationship 845 00:46:46,840 --> 00:46:49,520 Speaker 1: and our fan fiction and also see a queer relationship 846 00:46:49,560 --> 00:46:56,040 Speaker 1: played out on television. Oh gosh, so much fan fiction 847 00:46:56,120 --> 00:46:59,360 Speaker 1: stories I could share, but I won't. Yeah, and I'd 848 00:46:59,360 --> 00:47:01,479 Speaker 1: love to. I'm glad you brought up the point, because 849 00:47:01,520 --> 00:47:04,480 Speaker 1: I don't think I had really sussed that out or 850 00:47:04,560 --> 00:47:06,239 Speaker 1: encountered it. But I'm glad that you brought up the 851 00:47:06,280 --> 00:47:10,360 Speaker 1: point that even for people who didn't go into STEM, 852 00:47:10,400 --> 00:47:13,520 Speaker 1: it was important in believing that they could are believing 853 00:47:13,520 --> 00:47:18,000 Speaker 1: that STEM was important, so this effect had bigger. It 854 00:47:18,080 --> 00:47:22,560 Speaker 1: was bigger than even I had realized. Yes, that's right, So, 855 00:47:22,800 --> 00:47:25,600 Speaker 1: you know, beyond attitude. So, according to the study, beyond 856 00:47:25,640 --> 00:47:28,279 Speaker 1: attitudes towards STEM, the Scully effect that's also found in 857 00:47:28,360 --> 00:47:31,880 Speaker 1: behaviors relating to STEM. Women who regularly watched X files 858 00:47:31,920 --> 00:47:34,160 Speaker 1: or significantly more likely to have considered going into a 859 00:47:34,200 --> 00:47:37,120 Speaker 1: STEM career, major in the STEM fields in college, and 860 00:47:37,160 --> 00:47:39,400 Speaker 1: worked in a STEM profession. Among women who are familiar 861 00:47:39,400 --> 00:47:42,520 Speaker 1: with Scullies character, half of them say that Scully increased 862 00:47:42,520 --> 00:47:45,040 Speaker 1: their interest in STEM. And so yeah, it's it's also 863 00:47:45,080 --> 00:47:48,359 Speaker 1: about sort of just the attitude that even if you're 864 00:47:48,360 --> 00:47:51,200 Speaker 1: not somebody who who is necessarily a STEM person yourself, 865 00:47:51,360 --> 00:47:52,880 Speaker 1: just that like you could be interested in it, you 866 00:47:52,880 --> 00:47:54,440 Speaker 1: could try it out, you could take a class if 867 00:47:54,440 --> 00:47:56,640 Speaker 1: you wanted, you could you know, do a major, even 868 00:47:56,680 --> 00:47:57,880 Speaker 1: if you are going to go into that as a 869 00:47:57,920 --> 00:48:02,280 Speaker 1: as a profession. And I think that that is that 870 00:48:02,280 --> 00:48:04,799 Speaker 1: that is important, even if it's even even for people 871 00:48:04,800 --> 00:48:07,240 Speaker 1: who are not in STEM, that is important. The study 872 00:48:07,239 --> 00:48:10,360 Speaker 1: found that moderate and heavy viewers place a higher priority 873 00:48:10,360 --> 00:48:12,560 Speaker 1: on encouraging girls and women to go into STEM than 874 00:48:12,680 --> 00:48:15,760 Speaker 1: non or light viewers, and nearly two thirds of regular 875 00:48:15,800 --> 00:48:18,520 Speaker 1: viewers saying that Scully increase their belief in the importance 876 00:48:18,520 --> 00:48:21,759 Speaker 1: of STEM and so yeah, like just the this the 877 00:48:21,800 --> 00:48:24,960 Speaker 1: idea of I think it can be a powerful impact, 878 00:48:25,360 --> 00:48:27,239 Speaker 1: not just to say like, oh, you're gonna go into 879 00:48:27,280 --> 00:48:30,000 Speaker 1: a STEM field, but say like, I can be interested 880 00:48:30,040 --> 00:48:32,359 Speaker 1: in it. I'm and I find it important. I'm not 881 00:48:32,400 --> 00:48:35,600 Speaker 1: intimidated by it because I think that you know, when 882 00:48:35,640 --> 00:48:39,280 Speaker 1: we I think there are so many ways that women 883 00:48:39,360 --> 00:48:42,719 Speaker 1: and marginalized people are told that technology is not for 884 00:48:42,840 --> 00:48:45,759 Speaker 1: us and that either a we can't understand it, or 885 00:48:45,840 --> 00:48:48,880 Speaker 1: be even if we can understand it, you don't need 886 00:48:48,920 --> 00:48:51,239 Speaker 1: to worry about it, like let the tech, let the 887 00:48:51,280 --> 00:48:55,960 Speaker 1: tech suits tell you what's what. And so that idea 888 00:48:56,080 --> 00:49:00,120 Speaker 1: is so damaging because technology plays such a huge are 889 00:49:00,200 --> 00:49:02,799 Speaker 1: in all of our lives, from our democracy to how 890 00:49:02,840 --> 00:49:05,640 Speaker 1: we get our groceries delivered to whether or not we 891 00:49:05,760 --> 00:49:09,239 Speaker 1: are criminalized and wind up in jail. Technology is at 892 00:49:09,239 --> 00:49:10,640 Speaker 1: the forefront of all of that. And so if we 893 00:49:10,840 --> 00:49:13,960 Speaker 1: live in a society that tells marginalized people that you 894 00:49:13,960 --> 00:49:16,240 Speaker 1: don't even need to be interested in it, but alone 895 00:49:16,280 --> 00:49:19,080 Speaker 1: like going to go into it professionally, that is a problem. 896 00:49:19,120 --> 00:49:21,440 Speaker 1: And so I think that the impacts are so much 897 00:49:21,440 --> 00:49:23,560 Speaker 1: bigger than just whether or not you go into stam 898 00:49:23,640 --> 00:49:27,759 Speaker 1: or not, just understanding like technology is something that you 899 00:49:27,800 --> 00:49:30,920 Speaker 1: should be invested in and know about and feel confident 900 00:49:31,040 --> 00:49:35,520 Speaker 1: to be involved in. I think it's really really important stuff. Right. Yeah. 901 00:49:35,560 --> 00:49:37,920 Speaker 1: I love that because even though I didn't watch it 902 00:49:38,040 --> 00:49:41,200 Speaker 1: and I'm not intostom any of that, but as you 903 00:49:41,200 --> 00:49:43,640 Speaker 1: had said, as the studies said, it kind of built 904 00:49:43,680 --> 00:49:46,680 Speaker 1: the millennials to be the encouragers for the next generation 905 00:49:46,719 --> 00:49:48,960 Speaker 1: to be like, we've seen it, we know it can happen. 906 00:49:49,280 --> 00:49:52,400 Speaker 1: Let's encourage you. Instead of having that you know, older 907 00:49:52,400 --> 00:49:54,400 Speaker 1: generation that was like, yeah, you can't do that, but 908 00:49:54,520 --> 00:49:57,040 Speaker 1: like actually falling in love with the idea, and even 909 00:49:57,040 --> 00:49:58,640 Speaker 1: though they may not have done it, they know that 910 00:49:58,680 --> 00:50:01,480 Speaker 1: it can happen. And so in couraging the next generation 911 00:50:01,560 --> 00:50:04,239 Speaker 1: to do so is the Skully generation. That's what I'm 912 00:50:04,239 --> 00:50:07,840 Speaker 1: gonna Scully generation. I love it. Yeah. I mean even 913 00:50:07,920 --> 00:50:10,440 Speaker 1: for me, like I I worked at tech companies and 914 00:50:10,440 --> 00:50:11,960 Speaker 1: for the longest time, I was like, oh, I'm not 915 00:50:12,000 --> 00:50:14,279 Speaker 1: really in a tech person. I don't really know And 916 00:50:14,320 --> 00:50:17,759 Speaker 1: I realized that that from for marginalized people to just 917 00:50:18,040 --> 00:50:21,720 Speaker 1: concede that you're not a tech person just allows for 918 00:50:22,200 --> 00:50:25,960 Speaker 1: technology to happen around you as opposed to it happening 919 00:50:26,480 --> 00:50:28,799 Speaker 1: with your understanding of it, right, And so I just 920 00:50:28,840 --> 00:50:30,759 Speaker 1: think that we all. I think the reason why I 921 00:50:30,840 --> 00:50:32,640 Speaker 1: was so excited to talk about this is that it 922 00:50:32,719 --> 00:50:35,640 Speaker 1: is important for marginalized people to see ourselves reflected in 923 00:50:35,680 --> 00:50:39,359 Speaker 1: tech and to feel like tech leaders and people who 924 00:50:39,440 --> 00:50:42,000 Speaker 1: make technology should be accountable to us, and that we 925 00:50:42,080 --> 00:50:45,279 Speaker 1: feel confident asserting it because it whether we're tech, people 926 00:50:45,280 --> 00:50:47,200 Speaker 1: that are not, technology shows up in our lives and 927 00:50:47,200 --> 00:50:50,520 Speaker 1: we should be, you know, really ready to acknowledge that 928 00:50:50,600 --> 00:50:52,239 Speaker 1: and to grapple with that and to talk about that 929 00:50:52,280 --> 00:50:56,680 Speaker 1: and to deal with it home. I'm trying to think 930 00:50:56,680 --> 00:51:01,239 Speaker 1: of like a great X Files quote to Indizon, but uh, 931 00:51:01,440 --> 00:51:04,080 Speaker 1: all I'm remembering is the Killer b episode for some reason, 932 00:51:04,120 --> 00:51:06,919 Speaker 1: because that one disturbed me so so I the one 933 00:51:06,920 --> 00:51:11,120 Speaker 1: episode I watched was the uh, the neighborhood episode, and 934 00:51:11,160 --> 00:51:12,960 Speaker 1: I never went back to watch it again because and 935 00:51:13,120 --> 00:51:14,759 Speaker 1: he was like, yes, bad, because I was like, I 936 00:51:14,840 --> 00:51:17,120 Speaker 1: was horrified after that and she described it to me 937 00:51:17,320 --> 00:51:20,879 Speaker 1: like it was that that's the only episode that one. 938 00:51:21,560 --> 00:51:27,360 Speaker 1: I'm like shocked and again, oh wow, yeah, what what 939 00:51:27,480 --> 00:51:31,560 Speaker 1: an intrigue into X Files. That episode would be and 940 00:51:31,680 --> 00:51:33,560 Speaker 1: watch the rest of it. I don't know, it was crazy, 941 00:51:34,239 --> 00:51:37,680 Speaker 1: that's fair. We should have an exile to watch. Party 942 00:51:38,800 --> 00:51:43,120 Speaker 1: would have let's do this. I am and well a 943 00:51:43,239 --> 00:51:45,480 Speaker 1: good good And then question could be like, any what 944 00:51:45,600 --> 00:51:50,239 Speaker 1: is your favorite episode? Do you have one? Oh? I 945 00:51:50,320 --> 00:51:55,360 Speaker 1: like immediately collapsed in on myself. Oh that is a 946 00:51:55,440 --> 00:51:58,800 Speaker 1: good question. I So most of the ones I remember 947 00:51:58,880 --> 00:52:00,920 Speaker 1: very clearly were the ones that disturbed me the most. 948 00:52:01,000 --> 00:52:02,920 Speaker 1: So yeah, I'm thinking the Killer b one. There was 949 00:52:02,920 --> 00:52:06,200 Speaker 1: that one was like the kid he was like had 950 00:52:06,200 --> 00:52:10,239 Speaker 1: electricity in his hands. Oh yeah, that one was messed up. 951 00:52:10,560 --> 00:52:13,440 Speaker 1: And then the one Samantha's talking about home, which is 952 00:52:13,600 --> 00:52:19,759 Speaker 1: infamous about cannibals. I don't know. Now, now you've given 953 00:52:19,760 --> 00:52:21,319 Speaker 1: me a project and I'm going to have to go 954 00:52:22,600 --> 00:52:24,799 Speaker 1: look over. But I did used to write. I did 955 00:52:24,880 --> 00:52:27,120 Speaker 1: used to right X Files fan fiction. I knew it, 956 00:52:27,320 --> 00:52:29,680 Speaker 1: and I'm gonna go back and see if I can 957 00:52:29,719 --> 00:52:32,319 Speaker 1: find it, because then I'll see my favorite episodes, because 958 00:52:32,320 --> 00:52:37,240 Speaker 1: I would always choose like my angstyest favorite episodes um 959 00:52:37,440 --> 00:52:42,880 Speaker 1: to write fan fiction about. So oh well, I'm you 960 00:52:42,920 --> 00:52:45,000 Speaker 1: guys are gonna think I'm a big weirdo. But it's home. 961 00:52:45,320 --> 00:52:48,120 Speaker 1: I think. I think, yeah, I think it has the 962 00:52:48,160 --> 00:52:51,920 Speaker 1: cadence of like good horror. Like it's like, it's OK, 963 00:52:52,000 --> 00:52:54,720 Speaker 1: if you, if you, if you have not watched X Files, 964 00:52:55,120 --> 00:52:57,000 Speaker 1: do not start with that one, because it's it's a 965 00:52:57,080 --> 00:52:59,319 Speaker 1: it's an intense one. But I just feel like it's 966 00:52:59,360 --> 00:53:02,880 Speaker 1: a that the pasting and the cadence of the episode, 967 00:53:03,080 --> 00:53:05,920 Speaker 1: it's like a good horror short story or something. It's 968 00:53:05,960 --> 00:53:09,279 Speaker 1: just looks perfect to me. Oh yeah, it's great. It's 969 00:53:09,320 --> 00:53:12,960 Speaker 1: disturbing and terrifying, and I remember it very clearly, even 970 00:53:12,960 --> 00:53:15,839 Speaker 1: though it was obviously I do. Of all the things 971 00:53:15,840 --> 00:53:18,759 Speaker 1: that I've ever watched, that one episode, I still like 972 00:53:18,800 --> 00:53:20,880 Speaker 1: horrified by it. As well as the fact that I'm like, 973 00:53:21,080 --> 00:53:23,359 Speaker 1: I will no longer ago to anywhere that looks like 974 00:53:23,440 --> 00:53:31,000 Speaker 1: a suburbs with white people. That's advice, don't go poking 975 00:53:31,080 --> 00:53:37,319 Speaker 1: around and some like creepy suburban house. Yeah. Oh yes, 976 00:53:37,480 --> 00:53:40,680 Speaker 1: Well this has been such a delight. Um, So, I mean, 977 00:53:40,760 --> 00:53:43,239 Speaker 1: we could continue talking forever and ever in Samantha would 978 00:53:43,320 --> 00:53:47,919 Speaker 1: just let us go, but I suppose it will. We'll 979 00:53:47,960 --> 00:53:49,880 Speaker 1: stop here for now. Even though I'm very interested in 980 00:53:49,920 --> 00:53:53,480 Speaker 1: this watch party idea, Bridget where can the good listeners 981 00:53:53,480 --> 00:53:55,600 Speaker 1: find you while you can listen to my podcast, I 982 00:53:55,600 --> 00:53:58,200 Speaker 1: definitely recommend listening to the full episode of their No 983 00:53:58,280 --> 00:54:02,080 Speaker 1: Girls on the Internet with That's EO of the Davis 984 00:54:02,160 --> 00:54:04,560 Speaker 1: Institute talking all about the Danta Scully effect on the 985 00:54:04,640 --> 00:54:06,120 Speaker 1: research and how it came to be in all of 986 00:54:06,160 --> 00:54:08,439 Speaker 1: that um. But also just check out the podcast. We'd 987 00:54:08,480 --> 00:54:10,319 Speaker 1: love to have you there. You can find it on 988 00:54:10,360 --> 00:54:12,520 Speaker 1: I Heart Radio or wherever you get your podcast on. 989 00:54:13,000 --> 00:54:15,480 Speaker 1: You can follow me on Instagram at Bridget Marie d 990 00:54:15,560 --> 00:54:19,160 Speaker 1: C or on Twitter at Bridget Marine. Yes, and definitely 991 00:54:19,160 --> 00:54:21,840 Speaker 1: you don't have to start saying award winning podcast girl, 992 00:54:22,280 --> 00:54:35,759 Speaker 1: oh I sometimes I say it sparingly. Yes, Yes, yes, 993 00:54:35,880 --> 00:54:38,680 Speaker 1: es ches always such a pleasure to talk to you. 994 00:54:38,760 --> 00:54:44,960 Speaker 1: Award winning podcast Bridget, Yes, I'll take it. Yes and listeners. 995 00:54:44,960 --> 00:54:46,560 Speaker 1: If you would like to contact as you can or 996 00:54:46,600 --> 00:54:48,719 Speaker 1: email Stuffy your Mom Stuff that I Hurt me dot com. 997 00:54:48,800 --> 00:54:50,400 Speaker 1: You can find us on Twitter at moms to Podcasts 998 00:54:50,440 --> 00:54:52,040 Speaker 1: or on Instagram at Stuff I've Never told you. Thanks. 999 00:54:52,080 --> 00:54:55,080 Speaker 1: It's always your super producer Christina also award winning to 1000 00:54:55,200 --> 00:54:59,960 Speaker 1: us absolutely and probably in real life. Check look at 1001 00:54:59,920 --> 00:55:04,560 Speaker 1: the UH and thanks to you for listening stuff I 1002 00:55:04,640 --> 00:55:07,000 Speaker 1: never told you protection by high radio from more podcast radio. 1003 00:55:07,000 --> 00:55:09,200 Speaker 1: It was a DA radio, Apple podcast or Rady listen 1004 00:55:09,200 --> 00:55:09,960 Speaker 1: to your favorite shows.