1 00:00:05,240 --> 00:00:07,720 Speaker 1: Hey, this is Annie and Samantha and welcome to Stephan'll 2 00:00:07,720 --> 00:00:19,080 Speaker 1: Never Told You a protection of iHeartRadio, and we were 3 00:00:19,079 --> 00:00:25,400 Speaker 1: back with another classic as we're moving closer to the 4 00:00:25,560 --> 00:00:29,640 Speaker 1: US election of twenty twenty four presidential election. Excuse me, 5 00:00:31,040 --> 00:00:33,920 Speaker 1: this one is from like right after the twenty twenty 6 00:00:34,000 --> 00:00:37,440 Speaker 1: presidential election, so you can probably hear it in our voices. 7 00:00:40,040 --> 00:00:44,880 Speaker 2: Oh so much, oh oh so much. I was violently 8 00:00:45,000 --> 00:00:47,840 Speaker 2: ill with stress and that is not a lie. 9 00:00:49,440 --> 00:00:53,239 Speaker 1: Yes, So this is another episode where Bridget Todd, a 10 00:00:53,320 --> 00:00:56,680 Speaker 1: friend of the show, came on and really broke down 11 00:00:56,720 --> 00:01:02,080 Speaker 1: about how misinformation and disinformation we're coming into play and 12 00:01:02,120 --> 00:01:06,679 Speaker 1: how it all impacts gender justice and why it's so 13 00:01:06,720 --> 00:01:09,080 Speaker 1: important that we're aware of it, which is something we're 14 00:01:09,120 --> 00:01:13,160 Speaker 1: going to have to keep in mind in this election season. 15 00:01:15,200 --> 00:01:18,319 Speaker 2: So please enjoy this classic episode. 16 00:01:24,040 --> 00:01:27,039 Speaker 1: Hey, this is Annie and Samantha and welcome to steff 17 00:01:27,040 --> 00:01:38,880 Speaker 1: I Never Told You production of iHeartRadio. Today, listeners, we're 18 00:01:38,959 --> 00:01:41,679 Speaker 1: so excited to once again be joined by our friend 19 00:01:42,000 --> 00:01:42,840 Speaker 1: Bridget Todd. 20 00:01:42,880 --> 00:01:44,280 Speaker 2: Hello, Bridget Hello. 21 00:01:44,200 --> 00:01:46,040 Speaker 3: I'm so excited to be back here with y'all. 22 00:01:46,959 --> 00:01:51,600 Speaker 1: We're so excited to have you for the series that 23 00:01:52,040 --> 00:01:55,800 Speaker 1: you have about women on the internet, where I suggested 24 00:01:55,840 --> 00:01:58,840 Speaker 1: it be called winternet, but no one replied. 25 00:02:00,760 --> 00:02:02,000 Speaker 3: I think, you know, I like that. 26 00:02:02,040 --> 00:02:04,960 Speaker 4: I think it's very positive. Women are winning the internet. 27 00:02:04,960 --> 00:02:07,440 Speaker 4: We're winning it every day. I like it all right? 28 00:02:07,680 --> 00:02:09,280 Speaker 5: That to me, I was like, someone has to explain 29 00:02:09,320 --> 00:02:11,440 Speaker 5: to me why you said this again, because I'm confused. 30 00:02:11,520 --> 00:02:13,680 Speaker 5: It because it's a winter is it because we're approaching winter? 31 00:02:14,280 --> 00:02:17,080 Speaker 2: No women on the internet? Winternet? 32 00:02:17,400 --> 00:02:19,920 Speaker 1: And you know, I was waiting after I sent that 33 00:02:20,440 --> 00:02:24,919 Speaker 1: anxiously for positive feedback of my genius. The hours sticked 34 00:02:25,040 --> 00:02:30,600 Speaker 1: by no response. Anyway, I thought i'd bring that up 35 00:02:30,680 --> 00:02:33,040 Speaker 1: just to comfort myself. 36 00:02:33,240 --> 00:02:34,760 Speaker 2: We are very glad to have you. 37 00:02:35,680 --> 00:02:40,040 Speaker 1: And before we started recording, we were just chatting about 38 00:02:40,440 --> 00:02:44,080 Speaker 1: the election and some of our thoughts around that, and 39 00:02:44,120 --> 00:02:48,200 Speaker 1: I did want to ask Bridget, since you're in d C, how. 40 00:02:48,000 --> 00:02:48,720 Speaker 2: Has that been. 41 00:02:49,680 --> 00:02:56,079 Speaker 4: Well, it's been a can I swear show? Yea, it's 42 00:02:56,080 --> 00:02:59,280 Speaker 4: been a bit of a show. What's wild is that, 43 00:02:59,320 --> 00:03:02,440 Speaker 4: as we were just talking about, it's not over, you 44 00:03:02,440 --> 00:03:06,120 Speaker 4: know here in DC, our city before the election, our 45 00:03:06,120 --> 00:03:08,640 Speaker 4: city was sort of hunkering down, as I'm sure George 46 00:03:08,639 --> 00:03:11,800 Speaker 4: Atlanta was to putting, you know, boards on the windows 47 00:03:11,800 --> 00:03:13,960 Speaker 4: and that kind of thing. This weekend there's going to 48 00:03:14,000 --> 00:03:16,960 Speaker 4: be a Proud Boy march in d C. So we're 49 00:03:16,960 --> 00:03:19,240 Speaker 4: all sort of preparing for that. So it feels very 50 00:03:19,320 --> 00:03:22,440 Speaker 4: much like even though the election happened, we're still sort 51 00:03:22,480 --> 00:03:24,480 Speaker 4: of dealing with the impacts. But I do know, even 52 00:03:24,520 --> 00:03:27,799 Speaker 4: though I was not in DC on Election Day, all 53 00:03:27,800 --> 00:03:30,840 Speaker 4: my friends and you know, neighbors and community were and 54 00:03:31,600 --> 00:03:34,760 Speaker 4: it was a party on the streets. Like I cannot 55 00:03:34,760 --> 00:03:36,880 Speaker 4: tell you, I knew people who were going to be 56 00:03:36,920 --> 00:03:39,960 Speaker 4: happy when Trump was voted out of office. I didn't 57 00:03:40,000 --> 00:03:43,560 Speaker 4: know it was going to be spray champagne with strangers 58 00:03:43,600 --> 00:03:45,520 Speaker 4: in the streets happy. I didn't know it was going 59 00:03:45,560 --> 00:03:49,280 Speaker 4: to be people hanging out of like windows, screaming and 60 00:03:49,400 --> 00:03:52,680 Speaker 4: jubilation happy. And I can tell you I have never 61 00:03:52,920 --> 00:03:55,320 Speaker 4: the only thing I have seen that came even close. 62 00:03:55,760 --> 00:03:58,520 Speaker 4: I happened to be in Paris when France won the 63 00:03:58,520 --> 00:04:01,280 Speaker 4: World Cup. That's the only thing that came close to 64 00:04:01,440 --> 00:04:03,480 Speaker 4: like the vibe on the streets in d C. 65 00:04:04,680 --> 00:04:08,280 Speaker 1: Yeah, I heard that it was champagne. Cells in d 66 00:04:08,400 --> 00:04:12,560 Speaker 1: C were higher than the past two New Years combined. 67 00:04:12,680 --> 00:04:15,720 Speaker 4: Yes, I think we're just you know, as as a 68 00:04:15,720 --> 00:04:16,640 Speaker 4: city I've lived in. 69 00:04:16,680 --> 00:04:17,960 Speaker 3: DC for most of my life. 70 00:04:18,040 --> 00:04:20,760 Speaker 4: I think that people from d C like like d 71 00:04:20,920 --> 00:04:23,600 Speaker 4: C long haulers. We really have a lot of like 72 00:04:23,680 --> 00:04:26,320 Speaker 4: city pride. And so I think when you know, I 73 00:04:26,360 --> 00:04:29,120 Speaker 4: lived here during the tail end of the Bush years, 74 00:04:29,520 --> 00:04:31,440 Speaker 4: I lived here for all of the Obama years and 75 00:04:31,520 --> 00:04:34,000 Speaker 4: then the Trump years, and I think the Trump years 76 00:04:34,080 --> 00:04:37,000 Speaker 4: just were so sad and dark for people who lived 77 00:04:37,000 --> 00:04:38,800 Speaker 4: in DC, and they were like, oh, this guy's in 78 00:04:38,800 --> 00:04:41,640 Speaker 4: my town, in my community. I once saw Avanka Trump 79 00:04:41,640 --> 00:04:42,159 Speaker 4: outside of a. 80 00:04:42,200 --> 00:04:43,200 Speaker 3: Soul cycle in d C. 81 00:04:43,600 --> 00:04:45,800 Speaker 4: You know, It's like you would see these people, and 82 00:04:45,839 --> 00:04:49,920 Speaker 4: so I think the vibe is just so jubilant that 83 00:04:49,960 --> 00:04:52,480 Speaker 4: we are rid of them, that we don't like column 84 00:04:52,520 --> 00:04:54,400 Speaker 4: in January, they will leave and we might have to 85 00:04:54,400 --> 00:04:55,000 Speaker 4: see them again. 86 00:04:56,040 --> 00:04:57,000 Speaker 2: That is very. 87 00:04:57,520 --> 00:05:01,640 Speaker 1: Exciting, though, you know what, I immediately felt like brain space. 88 00:05:01,920 --> 00:05:04,080 Speaker 2: It was amazing. Just get freed up. 89 00:05:04,200 --> 00:05:07,880 Speaker 3: It's like take it off your bra It really was. 90 00:05:08,839 --> 00:05:10,960 Speaker 5: I felt, like I think I just said, it felt 91 00:05:11,000 --> 00:05:13,200 Speaker 5: like I had just finished running and I was at 92 00:05:13,200 --> 00:05:16,960 Speaker 5: that point, I'm just sitting exhausted, but at least one 93 00:05:17,080 --> 00:05:19,279 Speaker 5: less thing was on us and on me. I was 94 00:05:19,279 --> 00:05:21,600 Speaker 5: like yep, yep, okay. And now I'm gonna pass out 95 00:05:21,640 --> 00:05:25,320 Speaker 5: because now I can rust exactly, but we can't. 96 00:05:25,600 --> 00:05:28,680 Speaker 1: No, no, And I do want to say I've getten. 97 00:05:28,800 --> 00:05:30,560 Speaker 1: I've gotten an habit of saying the date, which is 98 00:05:30,560 --> 00:05:32,880 Speaker 1: always a risky proposition. But today is Friday the thirteenth, 99 00:05:32,960 --> 00:05:37,720 Speaker 1: so I do know it of March, just because as 100 00:05:37,720 --> 00:05:42,560 Speaker 1: we record this, of March, I was so proud of myself. 101 00:05:42,080 --> 00:05:45,480 Speaker 2: For the thirty you were so close. There was a 102 00:05:45,600 --> 00:05:46,880 Speaker 2: Friday the thirteenth in March. 103 00:05:47,320 --> 00:05:47,839 Speaker 3: Yeah, there was. 104 00:05:47,880 --> 00:05:51,520 Speaker 1: You're correct, but it's not see I'm I'm very well. 105 00:05:51,600 --> 00:05:55,679 Speaker 1: Yes it's November. I okay, thank you for that correction. 106 00:05:55,880 --> 00:05:58,880 Speaker 1: Very important, But just because as we record this, Trump 107 00:05:58,920 --> 00:06:04,039 Speaker 1: still hasn't conceded, conceded, so you never know, things changed 108 00:06:04,080 --> 00:06:08,200 Speaker 1: really fast these days. But the last time you were here, Bridget, 109 00:06:08,240 --> 00:06:11,560 Speaker 1: you were talking a lot about misinformation and disinformation and 110 00:06:11,600 --> 00:06:14,920 Speaker 1: all of that, especially ramping up to the election and 111 00:06:14,960 --> 00:06:19,080 Speaker 1: the intersectionality of it when we talked about gender or race, 112 00:06:19,600 --> 00:06:24,240 Speaker 1: And now that the election has happened, that's something that 113 00:06:24,400 --> 00:06:25,560 Speaker 1: you wanted to revisit. 114 00:06:25,720 --> 00:06:26,800 Speaker 3: Yes, exactly. 115 00:06:27,000 --> 00:06:29,920 Speaker 4: You know, I have been studying and working on disinformation 116 00:06:30,040 --> 00:06:33,400 Speaker 4: for a while, and I kind of erroneously thought like, oh, well, 117 00:06:33,400 --> 00:06:35,760 Speaker 4: when the election happens, we will be able to close 118 00:06:35,800 --> 00:06:40,200 Speaker 4: the door on this Pandora's box a false information, online harassment, 119 00:06:40,200 --> 00:06:42,960 Speaker 4: most leading stories and the like. How wrong we were, 120 00:06:43,120 --> 00:06:47,400 Speaker 4: you know, Luckily, election officials really were predicting that from 121 00:06:47,400 --> 00:06:50,440 Speaker 4: the time the election happens, so from November third to 122 00:06:50,560 --> 00:06:53,919 Speaker 4: the time that we had an uncontested you know winner 123 00:06:53,960 --> 00:06:57,000 Speaker 4: that everybody agreed on, that would really be a hotbed 124 00:06:57,040 --> 00:06:57,840 Speaker 4: of disinformation. 125 00:06:57,920 --> 00:06:59,720 Speaker 3: And that really was exactly what we saw. 126 00:06:59,760 --> 00:07:01,960 Speaker 4: So I'm happy that some people were at least prepared 127 00:07:02,000 --> 00:07:04,520 Speaker 4: for it, and like we're taking the actions and the 128 00:07:04,560 --> 00:07:07,240 Speaker 4: steps necessary to like get us all on the same 129 00:07:07,279 --> 00:07:09,640 Speaker 4: page about what we would be seeing, because that's exactly 130 00:07:09,640 --> 00:07:12,880 Speaker 4: what happened. You know, on election day, even as the 131 00:07:12,920 --> 00:07:16,360 Speaker 4: votes were still being counted, Trump tweeted that he had won, 132 00:07:16,440 --> 00:07:20,480 Speaker 4: he declared himself the winner. Obviously that's like just a fabrication, 133 00:07:20,600 --> 00:07:26,480 Speaker 4: is based in nothing. So yeah, we really saw false stories, disinformation, 134 00:07:27,040 --> 00:07:30,440 Speaker 4: and like outright lies being spread about our election and 135 00:07:30,480 --> 00:07:33,440 Speaker 4: our democratic process from election. 136 00:07:33,120 --> 00:07:39,040 Speaker 1: Day itself, Yeah, and ongoing. Like it's one of those 137 00:07:39,080 --> 00:07:41,520 Speaker 1: things that I'm almost surprised. It can still surprise me 138 00:07:41,960 --> 00:07:47,640 Speaker 1: that so many people eagerly are buying into these things, 139 00:07:47,720 --> 00:07:50,200 Speaker 1: just you know, the accounts of dead people voting, like 140 00:07:50,280 --> 00:07:55,640 Speaker 1: millions of dead people voting, or sharpies all the things, 141 00:07:56,680 --> 00:08:01,800 Speaker 1: yeah yeah, and Charpie gay and seeing like Trump's twitter 142 00:08:01,880 --> 00:08:04,960 Speaker 1: line and like twitter line, twitter feed and every tweet 143 00:08:05,040 --> 00:08:09,560 Speaker 1: was being flagged right for all this passing of false information. 144 00:08:12,480 --> 00:08:14,160 Speaker 2: And I know we're going to talk about like. 145 00:08:14,080 --> 00:08:18,360 Speaker 1: How has social media been Have they been doing anything 146 00:08:18,400 --> 00:08:18,920 Speaker 1: about this? 147 00:08:19,520 --> 00:08:20,960 Speaker 3: So I'm sure. 148 00:08:21,160 --> 00:08:22,520 Speaker 4: I'm sure the last time I was here, I was 149 00:08:22,560 --> 00:08:25,400 Speaker 4: crapping on social media platforms, and they deserve to be 150 00:08:25,440 --> 00:08:27,720 Speaker 4: crapped on, By the way, I am not conceding that, 151 00:08:28,000 --> 00:08:29,640 Speaker 4: but I will. I have to give them this. I 152 00:08:29,680 --> 00:08:32,640 Speaker 4: do think they are trying. They have spent a long 153 00:08:32,679 --> 00:08:35,200 Speaker 4: time kind of dragging their feed, and so part of 154 00:08:35,200 --> 00:08:37,400 Speaker 4: me wonders if it's like a little bit like too little, 155 00:08:37,400 --> 00:08:39,320 Speaker 4: too late, But I want to give credit where credit 156 00:08:39,360 --> 00:08:42,080 Speaker 4: is due. I do think some of these platforms just 157 00:08:42,160 --> 00:08:44,880 Speaker 4: saw that, like certain things just can't be left up. 158 00:08:44,920 --> 00:08:48,240 Speaker 4: And so as Annie, as you just said, Twitter was 159 00:08:48,280 --> 00:08:52,640 Speaker 4: taking down or at least putting disclaimers on Trump's misleading 160 00:08:52,640 --> 00:08:55,160 Speaker 4: tweets about the election on election day. In the day 161 00:08:55,200 --> 00:08:57,880 Speaker 4: after his Twitter feeds looked like one of those redacted 162 00:08:57,920 --> 00:09:00,319 Speaker 4: memos or things are like blacked out, as he was 163 00:09:00,360 --> 00:09:04,280 Speaker 4: tweeting so many false or misleading lies. I'm at the election, 164 00:09:04,400 --> 00:09:07,000 Speaker 4: and so I was happy to see that. You know, 165 00:09:07,200 --> 00:09:09,920 Speaker 4: Facebook has announced a couple of changes that they're making, 166 00:09:09,920 --> 00:09:14,120 Speaker 4: including turning off their group recommendation features, so that, like, 167 00:09:14,480 --> 00:09:16,240 Speaker 4: you know, if you are in a group that might 168 00:09:16,679 --> 00:09:19,600 Speaker 4: typically how people get radicalized on a platform like Facebook, 169 00:09:19,600 --> 00:09:22,440 Speaker 4: You'll be in one group and then Facebook's algorithm might 170 00:09:22,480 --> 00:09:25,559 Speaker 4: be like, oh, well, you enjoy your Second Amendment rights, 171 00:09:25,840 --> 00:09:27,320 Speaker 4: maybe you want to be part of this group that 172 00:09:27,400 --> 00:09:32,000 Speaker 4: advocates for exercising those Second Amendment rights at a polling station, right, 173 00:09:32,080 --> 00:09:35,000 Speaker 4: like right, you know, these these groups inch up more 174 00:09:35,080 --> 00:09:37,840 Speaker 4: and more aggressive and more and more extreme, and so 175 00:09:37,920 --> 00:09:40,520 Speaker 4: they turned off that feature, and it's not clear when 176 00:09:40,559 --> 00:09:41,800 Speaker 4: that feature will be turned back on. 177 00:09:41,880 --> 00:09:43,600 Speaker 3: Actually, right before coming. 178 00:09:43,320 --> 00:09:45,840 Speaker 4: To chat with you, ladies, I was in a call 179 00:09:45,880 --> 00:09:48,840 Speaker 4: with Facebook senior leadership and they are not it's not 180 00:09:48,920 --> 00:09:51,280 Speaker 4: clear when they are going to be turning this feature 181 00:09:51,320 --> 00:09:53,600 Speaker 4: back on, but like we think it shouldn't be at 182 00:09:53,679 --> 00:09:57,480 Speaker 4: least until after inauguration. Just so that you know, we 183 00:09:57,520 --> 00:09:59,880 Speaker 4: can close this chapter and move on to the next chapter. 184 00:10:01,040 --> 00:10:03,840 Speaker 4: I'll say, like, you know, as much as I crap 185 00:10:03,920 --> 00:10:07,520 Speaker 4: on the leaders of these social media platforms, it is 186 00:10:07,600 --> 00:10:09,400 Speaker 4: better for them to do something than nothing. So I 187 00:10:09,440 --> 00:10:11,120 Speaker 4: definitely want to give a credit where credit is due 188 00:10:11,160 --> 00:10:14,120 Speaker 4: in terms of them taking actual steps to you know, 189 00:10:14,280 --> 00:10:14,880 Speaker 4: address this. 190 00:10:16,720 --> 00:10:18,120 Speaker 2: Yeah, yeah, for sure. 191 00:10:18,600 --> 00:10:20,800 Speaker 1: I was shocked when I saw that they were gonna 192 00:10:21,000 --> 00:10:25,400 Speaker 1: until inauguration day. I was very happy, but I was surprised, right, 193 00:10:26,720 --> 00:10:30,920 Speaker 1: and uh, Cheryl Sandberg specifically has kind of been a 194 00:10:30,920 --> 00:10:32,240 Speaker 1: part of this conversation, right. 195 00:10:32,559 --> 00:10:35,559 Speaker 4: Oh, yes, So what's interesting about Cheryl Sandberg, and I 196 00:10:35,600 --> 00:10:38,480 Speaker 4: should say full disclosure, Like I bought her book Lean In. 197 00:10:39,200 --> 00:10:41,200 Speaker 4: There was a time in my life where her brand 198 00:10:41,360 --> 00:10:44,480 Speaker 4: of feminism I was like down to give it a shot, 199 00:10:44,520 --> 00:10:46,160 Speaker 4: you know, I wanted to see what she had to say. 200 00:10:46,720 --> 00:10:49,480 Speaker 4: I think it's been interesting how she has really been 201 00:10:49,520 --> 00:10:52,440 Speaker 4: able to largely avoid a lot of the heat. Like 202 00:10:52,480 --> 00:10:55,839 Speaker 4: when you think about tech platforms behaving badly, I feel 203 00:10:55,840 --> 00:10:57,679 Speaker 4: like Mark Zuckerberg really takes up. 204 00:10:57,640 --> 00:10:58,960 Speaker 3: A lot of the air in the room. 205 00:10:59,000 --> 00:11:01,880 Speaker 4: And we kind of let Cheryl Sandberg, at least in 206 00:11:01,920 --> 00:11:04,360 Speaker 4: my view, kind of skirt by. You know, I think 207 00:11:05,520 --> 00:11:07,560 Speaker 4: for a while I think there was a vibe that, 208 00:11:08,040 --> 00:11:10,800 Speaker 4: you know, Zuckerberg and these tech bros at Facebook are 209 00:11:10,840 --> 00:11:13,440 Speaker 4: just running wild, and Cheryl Sandberg is doing the best 210 00:11:13,440 --> 00:11:16,000 Speaker 4: she can to like rain them in. Now, I think 211 00:11:16,000 --> 00:11:19,280 Speaker 4: that that that reputation was completely unearned. I think that 212 00:11:19,720 --> 00:11:23,480 Speaker 4: these days she is definitely taking some heat. Karas Swisher 213 00:11:23,480 --> 00:11:27,440 Speaker 4: earlier tweeted, Cheryl Sandberg and the rest of Facebook executive team, 214 00:11:27,679 --> 00:11:30,920 Speaker 4: you're presiding over a toxic and dangerous stew of misinformation 215 00:11:31,040 --> 00:11:34,000 Speaker 4: and purposeful propaganda. And it is a clear abdication of 216 00:11:34,040 --> 00:11:36,000 Speaker 4: the job that you are charged with for those of 217 00:11:36,080 --> 00:11:39,680 Speaker 4: us who know you personally, for shame, and that's a 218 00:11:39,679 --> 00:11:42,720 Speaker 4: pretty I imagine that these two women are probably friends 219 00:11:42,800 --> 00:11:45,760 Speaker 4: in the tech space, and I think, you know, gone 220 00:11:45,760 --> 00:11:48,080 Speaker 4: are the days where you can just sort of be like, oh, well, 221 00:11:48,120 --> 00:11:50,719 Speaker 4: I work here, but like, you know, I'm doing the 222 00:11:50,760 --> 00:11:53,839 Speaker 4: best I can. I think that people are fed up 223 00:11:54,040 --> 00:11:58,160 Speaker 4: enough that I think that even people who have been 224 00:11:58,160 --> 00:12:02,040 Speaker 4: able to avoid this kind of this kind of scrutiny 225 00:12:02,160 --> 00:12:04,120 Speaker 4: are getting pulled into it. Right. 226 00:12:04,360 --> 00:12:07,160 Speaker 5: And yeah, I actually just saw another tweet about the 227 00:12:07,160 --> 00:12:09,440 Speaker 5: fact that you are now a part of the problem, 228 00:12:09,440 --> 00:12:11,840 Speaker 5: even if you weren't the one or you aren't the 229 00:12:11,840 --> 00:12:14,080 Speaker 5: one propagating these things. If you work for them and 230 00:12:14,240 --> 00:12:17,760 Speaker 5: understand this is what's happening, you are complicit to their 231 00:12:17,800 --> 00:12:21,560 Speaker 5: neglect and or feeding into this disinformation and this use 232 00:12:21,640 --> 00:12:27,360 Speaker 5: of abuse or for another brand or another conversation or 233 00:12:27,360 --> 00:12:31,600 Speaker 5: the bigger conversation of the abuse that the presidency has 234 00:12:31,679 --> 00:12:35,079 Speaker 5: done in the past four years and or their followers. 235 00:12:35,720 --> 00:12:37,199 Speaker 3: Absolutely, that's such a good point. 236 00:12:37,240 --> 00:12:39,760 Speaker 4: You know what's so interesting to me about this is, 237 00:12:40,440 --> 00:12:43,280 Speaker 4: you know, there was a time in my life where 238 00:12:43,679 --> 00:12:46,160 Speaker 4: a job at Facebook would have been the most exciting 239 00:12:46,240 --> 00:12:48,160 Speaker 4: thing in the world for me. But those days are 240 00:12:48,160 --> 00:12:51,360 Speaker 4: gone because I would never work at Facebook. But you know, 241 00:12:52,000 --> 00:12:55,080 Speaker 4: I've often wondered, like, when are we going to see 242 00:12:55,240 --> 00:12:59,000 Speaker 4: Facebook and some of these platforms that allow for our 243 00:12:59,000 --> 00:13:01,480 Speaker 4: democracy to be attacked in these ways. When are sort 244 00:13:01,520 --> 00:13:04,200 Speaker 4: of individual rank and file tech. 245 00:13:04,000 --> 00:13:06,800 Speaker 3: Employees going to When are we going to make it 246 00:13:06,880 --> 00:13:08,640 Speaker 3: like an uncol place to work, right? 247 00:13:08,679 --> 00:13:11,120 Speaker 4: Like, I feel like there's so many industries where you know, 248 00:13:11,200 --> 00:13:13,640 Speaker 4: if you choose to go into this industry, people might look. 249 00:13:13,520 --> 00:13:14,480 Speaker 3: At you a little bit funny. 250 00:13:14,480 --> 00:13:16,960 Speaker 4: And I think we're seeing those conversations happen now. 251 00:13:17,000 --> 00:13:18,800 Speaker 3: But what I also think is very interesting is that 252 00:13:19,520 --> 00:13:19,839 Speaker 3: at a. 253 00:13:19,800 --> 00:13:23,000 Speaker 4: Lot of these companies, oftentimes it's just the rank and 254 00:13:23,040 --> 00:13:26,760 Speaker 4: file staff who want to be part of the solution. 255 00:13:26,880 --> 00:13:27,880 Speaker 3: They want they don't want. 256 00:13:27,720 --> 00:13:30,160 Speaker 4: To be making tools that like wreck our democracy and 257 00:13:30,200 --> 00:13:32,640 Speaker 4: like wreck our elections. They want to be They got 258 00:13:32,640 --> 00:13:34,400 Speaker 4: into tech because they want to make change. And I 259 00:13:34,440 --> 00:13:38,000 Speaker 4: think what we really see now is like rank and 260 00:13:38,040 --> 00:13:43,280 Speaker 4: file staffers trying to agitate from within, but the leadership, 261 00:13:43,280 --> 00:13:45,400 Speaker 4: the people who actually have the power within the organization 262 00:13:45,440 --> 00:13:47,359 Speaker 4: to do something, not listening. 263 00:13:46,960 --> 00:13:51,440 Speaker 5: To them, which happens so often exactly, they're just looking 264 00:13:51,480 --> 00:13:54,120 Speaker 5: at numbers in the story and not listening to what's 265 00:13:54,320 --> 00:13:59,080 Speaker 5: the actual real world ramifications of what's happening. I was 266 00:13:59,160 --> 00:14:03,320 Speaker 5: actually using Facebook as my point of trying to see 267 00:14:03,440 --> 00:14:05,800 Speaker 5: where we were on the election night, like Okay, this 268 00:14:06,000 --> 00:14:07,800 Speaker 5: state has been called, and this state has been called, 269 00:14:07,840 --> 00:14:09,840 Speaker 5: and this state has been called. And it was really 270 00:14:09,880 --> 00:14:14,439 Speaker 5: interesting to watch the different people react on Facebook as well. 271 00:14:14,760 --> 00:14:17,040 Speaker 3: And it's really really disheartening because. 272 00:14:16,760 --> 00:14:19,600 Speaker 5: It's not just the president and his little minions, it 273 00:14:19,880 --> 00:14:23,320 Speaker 5: is the Republican Party who are backing him, and that 274 00:14:23,480 --> 00:14:26,280 Speaker 5: is so so dangerous for them to sit there and 275 00:14:26,280 --> 00:14:28,560 Speaker 5: be like this is all false, this is all uh 276 00:14:29,200 --> 00:14:32,080 Speaker 5: not legal votes or illegal votes, which is a whole 277 00:14:32,080 --> 00:14:36,120 Speaker 5: other rhetoric in itself and so disgusting. But then it 278 00:14:36,160 --> 00:14:39,520 Speaker 5: starts you started questioning, well, you you just got to 279 00:14:39,560 --> 00:14:42,320 Speaker 5: reelect it. Do we need to look at your numbers 280 00:14:42,320 --> 00:14:42,880 Speaker 5: as well? 281 00:14:42,920 --> 00:14:44,760 Speaker 3: I mean, what is happening with. 282 00:14:44,800 --> 00:14:47,360 Speaker 5: This conversation and why are they dissecting it in such 283 00:14:47,360 --> 00:14:50,720 Speaker 5: a way that people believe parts and bits of lies 284 00:14:50,760 --> 00:14:52,200 Speaker 5: but not the whole actuality. 285 00:14:52,680 --> 00:14:53,680 Speaker 3: That's such a good point. 286 00:14:53,680 --> 00:14:55,320 Speaker 4: It's what's so funny is if you look at the 287 00:14:55,360 --> 00:14:58,160 Speaker 4: different claims that are being made. All of these claims 288 00:14:58,200 --> 00:14:59,960 Speaker 4: are baseless. But if you look at the different claims 289 00:15:00,080 --> 00:15:02,600 Speaker 4: are being made that like, oh there was a voting 290 00:15:02,600 --> 00:15:05,480 Speaker 4: in regularity here, there's voter fraud there. So many of 291 00:15:05,520 --> 00:15:07,840 Speaker 4: them are that they couldn't all be true. 292 00:15:07,640 --> 00:15:09,000 Speaker 3: Right, Some of them are contradictory. 293 00:15:09,080 --> 00:15:11,080 Speaker 4: Some of them like are opposite where you're like, oh, 294 00:15:11,120 --> 00:15:14,440 Speaker 4: so they were throwing poles in the river, and also 295 00:15:14,560 --> 00:15:17,520 Speaker 4: the sharpie thing and this watermark thing like it would 296 00:15:17,760 --> 00:15:19,760 Speaker 4: it would be. It's not possible for them all to 297 00:15:19,760 --> 00:15:22,320 Speaker 4: be true. It's just like such a such a like 298 00:15:23,200 --> 00:15:27,720 Speaker 4: mixed bag of wild ass conspiracies, and no one has 299 00:15:27,720 --> 00:15:30,880 Speaker 4: stop like we're just like picking and people are just 300 00:15:30,920 --> 00:15:32,920 Speaker 4: picking and choosing the ones that suit them. Like in 301 00:15:32,960 --> 00:15:36,600 Speaker 4: some states they're saying stop the count and other states are. 302 00:15:36,480 --> 00:15:38,480 Speaker 3: Saying, no, continue the count. It's like, well, which one 303 00:15:38,520 --> 00:15:39,440 Speaker 3: is they? Can't you both? 304 00:15:39,960 --> 00:15:40,280 Speaker 1: Right? 305 00:15:40,600 --> 00:15:40,960 Speaker 2: Yeah? 306 00:15:41,160 --> 00:15:43,760 Speaker 1: I have a firm believer people will do all kinds 307 00:15:43,760 --> 00:15:46,240 Speaker 1: of mental gymnastics to believe what they want to believe. 308 00:15:48,640 --> 00:15:52,960 Speaker 1: So I guess looking at these claims that we saw 309 00:15:53,080 --> 00:15:57,280 Speaker 1: during the election, could you I know you've talked about 310 00:15:57,280 --> 00:15:59,560 Speaker 1: it a little bit, but how did we see them 311 00:15:59,560 --> 00:16:03,000 Speaker 1: play out? What should we continue to look for and 312 00:16:03,040 --> 00:16:07,800 Speaker 1: what ultimately is like the main purpose of these. 313 00:16:08,000 --> 00:16:09,200 Speaker 3: It's a great question. You know. 314 00:16:09,720 --> 00:16:12,640 Speaker 4: Definitely Trump was the one I feel leading the charge 315 00:16:12,680 --> 00:16:15,320 Speaker 4: into this idea that the election was rigged in some 316 00:16:15,400 --> 00:16:18,120 Speaker 4: way or you know, that something fishy happened to be 317 00:16:18,280 --> 00:16:21,320 Speaker 4: like absolutely, one hundred percent crystal clear, there has been 318 00:16:21,640 --> 00:16:25,960 Speaker 4: no documented evidence of voting a regularity of any kind 319 00:16:26,040 --> 00:16:28,800 Speaker 4: in this election. It's not it's just not there. There 320 00:16:28,840 --> 00:16:32,200 Speaker 4: is no it's just like end of sentence period, point blank. 321 00:16:32,480 --> 00:16:35,680 Speaker 4: And so we see these continued, this continued narrative that 322 00:16:35,720 --> 00:16:38,120 Speaker 4: the election was stolen or rigged, all the things that 323 00:16:38,200 --> 00:16:41,440 Speaker 4: y'all mentioned this whole Sharpi Gate thing, this idea that 324 00:16:41,840 --> 00:16:46,240 Speaker 4: poll workers were ripping up Trump votes or like that 325 00:16:46,320 --> 00:16:49,320 Speaker 4: a Biden Harris van like something like something i'd have 326 00:16:49,400 --> 00:16:52,080 Speaker 4: Scooby Doo or something like a Biden Harris ban man. 327 00:16:52,320 --> 00:16:52,760 Speaker 3: They weren't. 328 00:16:52,920 --> 00:16:55,360 Speaker 4: They're smart enough to try to rig election. They're not 329 00:16:55,400 --> 00:16:57,720 Speaker 4: smart enough to not have Biden Harris on the side 330 00:16:57,720 --> 00:17:00,000 Speaker 4: of the van. They pull up in sure mixed complete sense. 331 00:17:00,240 --> 00:17:02,760 Speaker 4: You know, these stories of like a van pulling up 332 00:17:02,760 --> 00:17:05,680 Speaker 4: and like bags of ballots being like smuggled out and 333 00:17:05,760 --> 00:17:09,439 Speaker 4: then speeds away. This is stuff from movies. This is 334 00:17:09,480 --> 00:17:13,720 Speaker 4: not reality. So all of these like baseless claims. And 335 00:17:13,800 --> 00:17:16,560 Speaker 4: I think the point is one when you have so 336 00:17:16,720 --> 00:17:19,600 Speaker 4: many different claims of voting in regularity, I think one 337 00:17:19,640 --> 00:17:22,600 Speaker 4: of the points is just to overwhelm. It overwhelms both 338 00:17:22,680 --> 00:17:25,720 Speaker 4: like fact checkers and poll workers, people whose job it 339 00:17:25,760 --> 00:17:27,399 Speaker 4: is to look into this kind of thing. And I 340 00:17:27,400 --> 00:17:30,160 Speaker 4: think it is overwhelmed your average person when you hear 341 00:17:30,440 --> 00:17:32,240 Speaker 4: over and over and over and over again all of 342 00:17:32,280 --> 00:17:36,639 Speaker 4: these stories amplified about voting regularities and the election being 343 00:17:36,760 --> 00:17:39,520 Speaker 4: ragged on all of that. Eventually, when you hear things enough, 344 00:17:39,800 --> 00:17:41,879 Speaker 4: it doesn't really matter if there's evidence or not. It 345 00:17:41,880 --> 00:17:43,880 Speaker 4: doesn't really matter if it's true or not. That's how 346 00:17:43,920 --> 00:17:47,800 Speaker 4: disinformation works. It creates this sort of false reality and 347 00:17:48,080 --> 00:17:49,280 Speaker 4: it kind of doesn't even. 348 00:17:49,119 --> 00:17:50,640 Speaker 3: Matter if there's evidence or if it's true. 349 00:17:50,680 --> 00:17:55,280 Speaker 4: And so, unfortunately, the point of all of this is 350 00:17:55,320 --> 00:17:59,479 Speaker 4: to drive home this idea that our elections are rigged, 351 00:18:00,080 --> 00:18:02,920 Speaker 4: the election was stolen, that our democracy does not work. 352 00:18:03,359 --> 00:18:07,120 Speaker 4: And I have to say, unfortunately, I think in some 353 00:18:07,160 --> 00:18:09,760 Speaker 4: ways Trump has been a little bit effective at doing this. 354 00:18:09,880 --> 00:18:12,240 Speaker 4: I think despite the fact that there have been no 355 00:18:13,680 --> 00:18:16,640 Speaker 4: documented cases of voting a regularity in this election, we've 356 00:18:16,640 --> 00:18:22,400 Speaker 4: already seen like Republican leadership using the phrase illegal votes, right, 357 00:18:22,440 --> 00:18:25,200 Speaker 4: And so even that phrase itself is a misnomer, and 358 00:18:25,240 --> 00:18:28,639 Speaker 4: I'm so disappointed to see that that phrase is making 359 00:18:28,640 --> 00:18:33,640 Speaker 4: its way into our vocabulary, because you can't have illegal 360 00:18:33,760 --> 00:18:38,520 Speaker 4: votes if there's no documented widespread voter or regularities or frauds. 361 00:18:38,520 --> 00:18:40,400 Speaker 3: So it's like it's like a fiction, and. 362 00:18:40,359 --> 00:18:42,240 Speaker 4: It's disappointing to see the way that this fiction has 363 00:18:42,280 --> 00:18:45,760 Speaker 4: already been sort of like made real in the minds 364 00:18:45,760 --> 00:18:46,359 Speaker 4: of some people. 365 00:18:46,480 --> 00:18:49,880 Speaker 3: And I, you know, I just think. 366 00:18:50,160 --> 00:18:53,960 Speaker 4: Obviously, no elected officials should be getting up should be 367 00:18:54,000 --> 00:18:55,240 Speaker 4: using their platform to lie. 368 00:18:55,760 --> 00:18:58,399 Speaker 3: But I think when you lie to people about the. 369 00:19:00,000 --> 00:19:03,480 Speaker 4: Efficacy of our democracy, that is something that is something 370 00:19:03,480 --> 00:19:07,080 Speaker 4: that's like truly beyond the pale, like right, just like 371 00:19:07,200 --> 00:19:09,680 Speaker 4: really sit with that. We have the leader of our 372 00:19:09,720 --> 00:19:14,919 Speaker 4: country purposely trying to make people lose faith in our 373 00:19:15,000 --> 00:19:18,720 Speaker 4: democratic system. Like there are plenty of people who have 374 00:19:18,800 --> 00:19:20,639 Speaker 4: been in the White House, who've been elected officials, and 375 00:19:20,640 --> 00:19:23,040 Speaker 4: I didn't agree with it. I didn't like, but they 376 00:19:23,040 --> 00:19:24,400 Speaker 4: wouldn't do that, Like that is. 377 00:19:24,359 --> 00:19:27,440 Speaker 3: A very different thing, right, I mean, he. 378 00:19:27,480 --> 00:19:30,840 Speaker 5: Kind of Trump was the basis of having his personal 379 00:19:30,880 --> 00:19:35,160 Speaker 5: account being constant during his term. 380 00:19:35,280 --> 00:19:35,920 Speaker 3: No one else did. 381 00:19:36,119 --> 00:19:39,000 Speaker 5: No one else had the to this level, especially with 382 00:19:39,080 --> 00:19:43,119 Speaker 5: the followers. And I didn't want to ask specifically to 383 00:19:43,280 --> 00:19:47,800 Speaker 5: the language how big Obviously it's a big key, But 384 00:19:47,920 --> 00:19:50,560 Speaker 5: it seems like Trump in himself has figured out that 385 00:19:50,600 --> 00:19:54,879 Speaker 5: if he makes specific phrases that are grammatically able to 386 00:19:54,960 --> 00:19:58,960 Speaker 5: be catchy enough, then it spreads like wildfire. How dangerous? 387 00:19:58,960 --> 00:20:01,439 Speaker 5: And how often has that been news? Especially for this election. 388 00:20:01,720 --> 00:20:04,120 Speaker 5: I know that's a random asked question, but no, no, 389 00:20:04,240 --> 00:20:05,320 Speaker 5: I was just thinking about that. 390 00:20:05,680 --> 00:20:06,800 Speaker 3: It's a it's a great question. 391 00:20:06,920 --> 00:20:09,600 Speaker 4: You are exactly right, And what's so annoying about Trump? 392 00:20:09,640 --> 00:20:11,280 Speaker 3: Like I hate I hate to give him. 393 00:20:11,280 --> 00:20:13,240 Speaker 4: Like your your listeners who like don't feel the way 394 00:20:13,240 --> 00:20:15,000 Speaker 4: that I do about Trump are probably like, we get it. 395 00:20:15,040 --> 00:20:18,920 Speaker 4: You hate Trump, But the thing that gets me about 396 00:20:18,960 --> 00:20:21,679 Speaker 4: him is that he's so effective at certain things. And 397 00:20:21,720 --> 00:20:23,400 Speaker 4: one of those things is just what you said, right, 398 00:20:23,720 --> 00:20:27,800 Speaker 4: speaking in sound bites and quotables. And I think you know, 399 00:20:28,880 --> 00:20:32,359 Speaker 4: like even that phrase itself illegal votes, if you didn't 400 00:20:32,400 --> 00:20:36,680 Speaker 4: know any better, it sounds it sounds so reasonable, like 401 00:20:36,680 --> 00:20:39,440 Speaker 4: like Avanka Trump tweeted, I think the day answer the election, 402 00:20:40,080 --> 00:20:43,000 Speaker 4: we should count every legal vote and don't and not 403 00:20:43,160 --> 00:20:44,520 Speaker 4: count illegal votes. 404 00:20:44,880 --> 00:20:47,720 Speaker 3: This shouldn't be controversial, And on its base, you're like, oh, 405 00:20:47,760 --> 00:20:48,840 Speaker 3: who would disagree with that? 406 00:20:49,000 --> 00:20:51,600 Speaker 4: But when you actually take it apart, when you have 407 00:20:51,640 --> 00:20:53,320 Speaker 4: to like bring in a little bit of nuance or 408 00:20:53,320 --> 00:20:55,320 Speaker 4: like thoughtful and this is around it, you think, wait 409 00:20:55,359 --> 00:20:58,000 Speaker 4: a minute, there aren't there aren't illegal votes, So like 410 00:20:58,200 --> 00:21:00,840 Speaker 4: why even have that be in the conversation. It really 411 00:21:00,880 --> 00:21:03,880 Speaker 4: creates this like false equivalency. But I think you are 412 00:21:04,520 --> 00:21:08,400 Speaker 4: spot on and that Trump has this ability to speak 413 00:21:08,440 --> 00:21:11,760 Speaker 4: in sound bites or tweets that can really catch on, 414 00:21:11,840 --> 00:21:14,440 Speaker 4: Like think of all these like wacky nicknames that he's 415 00:21:14,480 --> 00:21:17,919 Speaker 4: given people like Sleepy Show and you know, all all 416 00:21:18,040 --> 00:21:21,600 Speaker 4: like little Marco, Like he, I mean, I have to 417 00:21:21,600 --> 00:21:24,479 Speaker 4: give it to him. He I know a catchphrase when 418 00:21:24,480 --> 00:21:26,720 Speaker 4: I hear one, and like he really you can. 419 00:21:26,560 --> 00:21:27,280 Speaker 3: Just really tell. 420 00:21:28,000 --> 00:21:31,760 Speaker 1: Yeah, we have a lot more to get into in 421 00:21:31,800 --> 00:21:33,879 Speaker 1: this conversation, but first we have a quick break for 422 00:21:33,880 --> 00:21:34,720 Speaker 1: a word from our sponsor. 423 00:21:47,359 --> 00:21:48,640 Speaker 2: Am We're back, Thank you, sponsor. 424 00:21:49,840 --> 00:21:53,119 Speaker 1: One thing I've noticed, and I do attribute this to 425 00:21:53,840 --> 00:21:57,000 Speaker 1: this spread of misinformation and disinformation and Trump being really 426 00:21:57,040 --> 00:22:00,560 Speaker 1: effective at this is my sense of real reality is 427 00:22:00,600 --> 00:22:03,560 Speaker 1: really warped now. Like I feel like I can't trust 428 00:22:03,600 --> 00:22:06,879 Speaker 1: things that should I should be like, yes, that is 429 00:22:06,960 --> 00:22:07,520 Speaker 1: the truth. 430 00:22:08,240 --> 00:22:09,400 Speaker 2: I don't have that anymore. 431 00:22:09,440 --> 00:22:12,200 Speaker 1: Like I remember when people were texting me about that 432 00:22:12,320 --> 00:22:13,760 Speaker 1: four seasons total landscaping. 433 00:22:13,800 --> 00:22:17,320 Speaker 2: I was like, I don't this can't be true. 434 00:22:17,520 --> 00:22:21,320 Speaker 1: And I was like looking at it like just I 435 00:22:21,400 --> 00:22:22,760 Speaker 1: don't know reality. 436 00:22:25,040 --> 00:22:26,720 Speaker 2: Oh well, I mean it was hilarious. I'm glad it 437 00:22:26,760 --> 00:22:28,000 Speaker 2: was true. 438 00:22:28,160 --> 00:22:32,719 Speaker 1: But that's just something I feel like this whole election 439 00:22:32,760 --> 00:22:34,959 Speaker 1: we're going to have to reckon with and all of 440 00:22:34,960 --> 00:22:40,280 Speaker 1: this misinformation and disinformation. And when we were chatting before 441 00:22:40,320 --> 00:22:42,679 Speaker 1: we were talking about being in Georgia, which right before 442 00:22:43,240 --> 00:22:46,359 Speaker 1: we came on was sort of officially projected to be 443 00:22:46,640 --> 00:22:51,480 Speaker 1: a blues state, and we have these looming senate races 444 00:22:51,920 --> 00:22:55,600 Speaker 1: to senate races in our state. So I know that 445 00:22:56,160 --> 00:22:58,720 Speaker 1: this isn't going to go away anytime soon. But even 446 00:22:58,720 --> 00:23:02,639 Speaker 1: for people outside of Georgia, now that this presidential election 447 00:23:02,720 --> 00:23:05,560 Speaker 1: has come and gone, why is it important that we 448 00:23:05,720 --> 00:23:09,720 Speaker 1: keep having these conversations about disinformation and misinformation? 449 00:23:09,800 --> 00:23:11,440 Speaker 4: Oh, I'm so glad you asked that. Well, one thing, 450 00:23:11,600 --> 00:23:12,960 Speaker 4: I do want to go back to something that you 451 00:23:13,000 --> 00:23:16,280 Speaker 4: said about, you know, this feeling of living in a 452 00:23:16,760 --> 00:23:20,200 Speaker 4: false reality. I definitely identify with that. Like the total 453 00:23:20,240 --> 00:23:22,680 Speaker 4: landscape I think was a good example. When the story 454 00:23:22,680 --> 00:23:25,840 Speaker 4: first broke that Trump had COVID, I remember thinking, like, does. 455 00:23:25,720 --> 00:23:26,520 Speaker 3: He really have it? 456 00:23:26,600 --> 00:23:26,719 Speaker 1: Like? 457 00:23:27,080 --> 00:23:27,919 Speaker 3: Is he just saying that? Like? 458 00:23:28,200 --> 00:23:31,280 Speaker 4: And it really revealed to me the depths to which 459 00:23:31,320 --> 00:23:33,159 Speaker 4: I felt like I had been sort of gaslighted by 460 00:23:33,160 --> 00:23:33,840 Speaker 4: this administration. 461 00:23:33,840 --> 00:23:35,919 Speaker 3: Whereas like I could, I felt like I couldn't trust 462 00:23:36,280 --> 00:23:38,160 Speaker 3: my own perception of reality. 463 00:23:38,240 --> 00:23:42,680 Speaker 4: And during the day before the election, my father, who 464 00:23:42,760 --> 00:23:45,199 Speaker 4: is you know, sixty five, he had a health incident 465 00:23:45,200 --> 00:23:47,560 Speaker 4: and so we went to the hospital and let me 466 00:23:47,600 --> 00:23:50,320 Speaker 4: tell And so the issue that he had was like cognitive. 467 00:23:50,359 --> 00:23:52,680 Speaker 4: He was having trouble with his memory and having trouble 468 00:23:52,760 --> 00:23:54,399 Speaker 4: kind of like understanding what was going on. 469 00:23:54,440 --> 00:23:56,359 Speaker 3: He's much better now, but that was a situation on 470 00:23:56,480 --> 00:23:57,160 Speaker 3: election day. 471 00:23:57,480 --> 00:24:00,160 Speaker 4: And let me tell you when we were trying to 472 00:24:00,200 --> 00:24:04,080 Speaker 4: watch election results, he would he would be like asleep 473 00:24:04,359 --> 00:24:06,119 Speaker 4: and then wake up and they would be showing like 474 00:24:06,160 --> 00:24:08,719 Speaker 4: a little clip of a speech where Trump appears to be, 475 00:24:09,200 --> 00:24:12,000 Speaker 4: you know, claiming himself the victor, and my dad would 476 00:24:12,000 --> 00:24:14,480 Speaker 4: be like, wait, did Trump win? And it was so 477 00:24:14,560 --> 00:24:16,720 Speaker 4: difficult for me to be like, I know that you're 478 00:24:16,840 --> 00:24:19,480 Speaker 4: I know that you've been in and out. I can't 479 00:24:19,480 --> 00:24:22,119 Speaker 4: explain to you why this is not Like I know 480 00:24:22,160 --> 00:24:25,680 Speaker 4: you're seeing Trump say that he won on television. All 481 00:24:25,680 --> 00:24:27,439 Speaker 4: I can tell you is it's not true. I know 482 00:24:27,520 --> 00:24:30,080 Speaker 4: it seems like it happened, but trust me that it didn't. 483 00:24:30,359 --> 00:24:32,320 Speaker 3: And I was like, yeah, this is a wild ass thing. 484 00:24:32,359 --> 00:24:34,560 Speaker 4: They have to be explaining to somebody that, like, like, 485 00:24:34,640 --> 00:24:36,800 Speaker 4: why am I watching Trump on TV say that he 486 00:24:36,840 --> 00:24:38,720 Speaker 4: won the election when the election does not seem to 487 00:24:38,720 --> 00:24:39,000 Speaker 4: be over. 488 00:24:39,080 --> 00:24:40,719 Speaker 3: I was like, I know, Dad, it's wild. What can 489 00:24:40,800 --> 00:24:41,320 Speaker 3: I tell you. 490 00:24:46,240 --> 00:24:48,080 Speaker 4: But to your question, you know, in terms of what 491 00:24:48,080 --> 00:24:50,680 Speaker 4: we should be looking out for now, you know this 492 00:24:50,760 --> 00:24:53,560 Speaker 4: is not over, and we will have to continue to 493 00:24:53,600 --> 00:24:57,720 Speaker 4: be vigilant about disinformation and misinformation. It's like more so, 494 00:24:57,840 --> 00:25:00,080 Speaker 4: I think than that we were before. You know, well, 495 00:25:00,600 --> 00:25:02,879 Speaker 4: the entire control of our Senate is going to come 496 00:25:02,920 --> 00:25:07,600 Speaker 4: down to Georgia. We've already seen disinformation on social media, 497 00:25:07,720 --> 00:25:11,440 Speaker 4: specifically as it pertains to poll workers and vote counters. 498 00:25:11,520 --> 00:25:13,679 Speaker 4: Right We've had stories of people who had to go 499 00:25:13,720 --> 00:25:17,720 Speaker 4: into hiding because of rumors spread on social media about 500 00:25:17,720 --> 00:25:20,399 Speaker 4: the vote count process. And we know that when we 501 00:25:20,400 --> 00:25:22,680 Speaker 4: could get to these Georgia runoffs, that's just going to 502 00:25:22,720 --> 00:25:25,119 Speaker 4: be worse. And I have to say, the majority of 503 00:25:25,280 --> 00:25:27,880 Speaker 4: poll workers in this country are women and black women, 504 00:25:27,960 --> 00:25:30,760 Speaker 4: and so we know that black women and women are 505 00:25:31,040 --> 00:25:33,800 Speaker 4: disproportionate recipients of attacks when it comes to disinformation on 506 00:25:33,840 --> 00:25:36,560 Speaker 4: social media, and so it's only going to get worse. 507 00:25:36,640 --> 00:25:39,040 Speaker 4: And that's why it's so important that these platforms and 508 00:25:39,080 --> 00:25:43,280 Speaker 4: these companies figure out what their commitment is to protecting 509 00:25:43,320 --> 00:25:46,920 Speaker 4: our democracy now right like it is, we know it's 510 00:25:46,920 --> 00:25:49,520 Speaker 4: going to happen. It is not enough to just wait 511 00:25:49,880 --> 00:25:53,480 Speaker 4: and let poll workers be attacked and let Facebook be 512 00:25:53,600 --> 00:25:56,640 Speaker 4: used to you know, organize people who want to show 513 00:25:56,720 --> 00:26:01,600 Speaker 4: up in real life with weapons for like extreamist meetings. 514 00:26:01,640 --> 00:26:05,160 Speaker 4: You know, in real life, we know that these things 515 00:26:05,200 --> 00:26:07,280 Speaker 4: are threats. We know that these things are going to happen. 516 00:26:07,600 --> 00:26:09,399 Speaker 4: So what we want is for people to be the 517 00:26:09,400 --> 00:26:12,679 Speaker 4: people with power to be proactive at building a plan 518 00:26:12,840 --> 00:26:14,960 Speaker 4: for what they are going to do when these things happen, 519 00:26:15,119 --> 00:26:17,159 Speaker 4: and to stop them before they start. But you know, 520 00:26:17,720 --> 00:26:22,159 Speaker 4: even though we have a winner, a new president, it 521 00:26:22,240 --> 00:26:23,639 Speaker 4: is not over, and it's just going to be that 522 00:26:23,760 --> 00:26:26,439 Speaker 4: much more important. Also with the fact that Kamala Harris 523 00:26:26,480 --> 00:26:28,040 Speaker 4: is going to be in the White House, we know 524 00:26:28,119 --> 00:26:31,720 Speaker 4: that when Obama was elected, it's not like birtherism and 525 00:26:31,800 --> 00:26:33,440 Speaker 4: racist attacks on him stopped. 526 00:26:33,480 --> 00:26:34,400 Speaker 3: In fact, they got worse. 527 00:26:34,440 --> 00:26:36,679 Speaker 4: And so I think with a black woman in the 528 00:26:36,720 --> 00:26:39,320 Speaker 4: White House, we are going to just continue to see 529 00:26:39,359 --> 00:26:44,200 Speaker 4: these real horrible attacks rooted in her her identity continue 530 00:26:44,240 --> 00:26:45,040 Speaker 4: to flourish. 531 00:26:45,600 --> 00:26:48,880 Speaker 5: Right, And then speaking of you did mention about that 532 00:26:49,000 --> 00:26:51,119 Speaker 5: the most of the bullworkers being women as well as 533 00:26:51,160 --> 00:26:51,919 Speaker 5: Kamala Harris. 534 00:26:51,920 --> 00:26:52,840 Speaker 2: The thing that she goes through. 535 00:26:53,040 --> 00:26:56,600 Speaker 5: How is disinformation and misinformation a gender justice issue? How 536 00:26:56,680 --> 00:27:00,000 Speaker 5: is that pertaining to women specifically in so many different ways. 537 00:27:00,240 --> 00:27:03,080 Speaker 5: You know, even just look at COVID, The majority of 538 00:27:03,160 --> 00:27:05,800 Speaker 5: essential workers are women. The majority of people in the 539 00:27:05,840 --> 00:27:09,680 Speaker 5: healthcare field are women. However, when we have like one 540 00:27:09,720 --> 00:27:14,240 Speaker 5: of the big topics where disinformation misinformation flourishes is COVID 541 00:27:14,280 --> 00:27:16,159 Speaker 5: and and how you stay safe with COVID, and so 542 00:27:16,200 --> 00:27:19,919 Speaker 5: if you have platforms that are allowing for misinformation and 543 00:27:19,960 --> 00:27:23,720 Speaker 5: false stories pertaining to COVID just flourish, you're hurting the 544 00:27:23,760 --> 00:27:25,240 Speaker 5: women who are essential workers. 545 00:27:24,960 --> 00:27:27,040 Speaker 4: Who who are who are the majority of the people 546 00:27:27,080 --> 00:27:28,280 Speaker 4: who are at the front lines of the of the 547 00:27:28,280 --> 00:27:31,159 Speaker 4: pandemic right now, healthcare workers, the majority of which are 548 00:27:31,160 --> 00:27:34,320 Speaker 4: women being impacted. And so really, when you start pulling 549 00:27:34,320 --> 00:27:37,200 Speaker 4: these things apart and seeing who is being hurt, which 550 00:27:37,240 --> 00:27:41,080 Speaker 4: communities are having to shoulder a disproportionate level of harm, 551 00:27:41,240 --> 00:27:43,800 Speaker 4: it's always women and it's always us. 552 00:27:44,080 --> 00:27:45,840 Speaker 3: And so, you know, thinking. 553 00:27:45,520 --> 00:27:49,200 Speaker 4: About these things from a perspective of like, oh, well, 554 00:27:49,760 --> 00:27:52,560 Speaker 4: it just arms everybody equally, that would be that would 555 00:27:52,600 --> 00:27:54,520 Speaker 4: be great if it was true. But we know that's 556 00:27:54,560 --> 00:27:56,479 Speaker 4: not true. We know it is women who end up 557 00:27:56,480 --> 00:28:00,159 Speaker 4: shouldering a disproportionate amount of the impact. 558 00:28:00,800 --> 00:28:01,679 Speaker 2: That's a great point. 559 00:28:02,880 --> 00:28:07,000 Speaker 1: I was researching some numbers around, like the predictions of 560 00:28:07,080 --> 00:28:10,520 Speaker 1: COVID cases in this winter that's been called a dark winter, 561 00:28:11,400 --> 00:28:14,680 Speaker 1: and I was so like, I was getting anxious looking 562 00:28:14,720 --> 00:28:17,679 Speaker 1: at these things. And it's just so frustrating that you 563 00:28:18,800 --> 00:28:21,240 Speaker 1: have a safety measure that shouldn't have been politicized, but 564 00:28:21,280 --> 00:28:25,720 Speaker 1: it was, and now people are getting sick and dying 565 00:28:25,800 --> 00:28:28,320 Speaker 1: because of it. And it is a part of that 566 00:28:28,560 --> 00:28:33,000 Speaker 1: of getting these messages from the very top that you know, 567 00:28:33,040 --> 00:28:33,800 Speaker 1: don't wear a mask. 568 00:28:33,840 --> 00:28:34,640 Speaker 2: I don't see the point. 569 00:28:34,680 --> 00:28:38,440 Speaker 1: It's fine and seeing these stories and I mean, to me, 570 00:28:38,520 --> 00:28:40,680 Speaker 1: they sound ridiculous of claims like well that you breathe 571 00:28:40,720 --> 00:28:43,080 Speaker 1: the COVID back in and it's worse if you wear 572 00:28:43,080 --> 00:28:46,480 Speaker 1: a mask and things like that, but it's working, like 573 00:28:46,560 --> 00:28:51,840 Speaker 1: people are buying into it. Yeah, So you can really 574 00:28:51,840 --> 00:28:55,640 Speaker 1: see like the effectiveness of this and right now specifically 575 00:28:56,080 --> 00:28:57,840 Speaker 1: the deadly deadliness of it. 576 00:28:57,880 --> 00:29:00,520 Speaker 3: Absolutely, I really I'm so glad that you brought that up. 577 00:29:00,840 --> 00:29:03,880 Speaker 4: I really think if we ever are able to get 578 00:29:03,920 --> 00:29:06,960 Speaker 4: COVID under control, I think we need to have a 579 00:29:07,000 --> 00:29:11,160 Speaker 4: real serious conversation as a nation about the way that 580 00:29:11,360 --> 00:29:17,960 Speaker 4: we allowed sexism and stuff attitudes around gender to hurt people, 581 00:29:18,000 --> 00:29:19,640 Speaker 4: and a lot of those people were women, right, Like, 582 00:29:20,040 --> 00:29:21,960 Speaker 4: even on top of what you the point that you 583 00:29:22,040 --> 00:29:25,320 Speaker 4: just made about how masks were really feminized, it's women. 584 00:29:26,120 --> 00:29:28,480 Speaker 3: When you look at who the majority of the people who. 585 00:29:28,280 --> 00:29:31,000 Speaker 4: Have like lost wages and lost jobs and check that 586 00:29:31,000 --> 00:29:34,520 Speaker 4: out of the workforce altogether, it's women. Right. I've seen 587 00:29:34,600 --> 00:29:37,360 Speaker 4: story after a story about how women have just had 588 00:29:37,400 --> 00:29:40,640 Speaker 4: to like absorb the blowback of this pandemic, and so 589 00:29:41,000 --> 00:29:43,040 Speaker 4: on top of that, like like we're the ones who 590 00:29:43,120 --> 00:29:47,480 Speaker 4: are being disproportionately harmed and displaced and you know, marginalized 591 00:29:47,600 --> 00:29:50,400 Speaker 4: by the pandemic, and on top of that, like people 592 00:29:50,440 --> 00:29:53,760 Speaker 4: are still equating just like the basic common sense protocols 593 00:29:53,760 --> 00:29:57,440 Speaker 4: of how we can like stay safe with like women 594 00:29:57,560 --> 00:30:00,040 Speaker 4: there therefore bad, you know, talking about how like wearing 595 00:30:00,080 --> 00:30:02,480 Speaker 4: a mask makes you like some kind of a like 596 00:30:03,040 --> 00:30:07,320 Speaker 4: I don't know, feminized soyboy or something. It really is 597 00:30:08,120 --> 00:30:11,560 Speaker 4: so harmful. And if there's ever been something that showed 598 00:30:11,640 --> 00:30:16,520 Speaker 4: us how dangerous and corrosive and toxic like these ideas 599 00:30:16,520 --> 00:30:19,720 Speaker 4: of gender can be, it should be the pandemic, right. 600 00:30:20,160 --> 00:30:23,080 Speaker 5: I Mean, we saw it in just environmental issues that 601 00:30:23,240 --> 00:30:25,680 Speaker 5: was so gendered and they're like, wait, we're trying to 602 00:30:25,680 --> 00:30:28,320 Speaker 5: save the world, and you want to say you can't 603 00:30:28,320 --> 00:30:31,200 Speaker 5: do that because it makes you look feminine. Oh, what 604 00:30:31,600 --> 00:30:34,280 Speaker 5: in the hell's wrong with you? But it seems like 605 00:30:34,320 --> 00:30:37,040 Speaker 5: when it comes to carrying and empathy, it's automatically assumed 606 00:30:37,080 --> 00:30:38,880 Speaker 5: that that is going to be feminine and that it 607 00:30:39,000 --> 00:30:42,120 Speaker 5: shows weakness. To show that you care shows weakness, so 608 00:30:42,160 --> 00:30:45,360 Speaker 5: therefore don't do it. And it's such an absurdity. Because 609 00:30:45,360 --> 00:30:48,400 Speaker 5: we talked about this the last time, how Donald Trump's 610 00:30:48,400 --> 00:30:52,240 Speaker 5: campaign all rode into that that masculine is the only 611 00:30:52,280 --> 00:30:54,959 Speaker 5: way to be and if we really want this country 612 00:30:55,000 --> 00:30:57,720 Speaker 5: to be great again is to go back to the 613 00:30:57,960 --> 00:31:02,920 Speaker 5: norm of heteronom ideas of the nineteen twenties. Essentially, it 614 00:31:03,000 --> 00:31:06,920 Speaker 5: is such an absurdity in itself that we would rather 615 00:31:07,080 --> 00:31:10,960 Speaker 5: look strong and I say that in a very loose 616 00:31:11,000 --> 00:31:12,080 Speaker 5: manner than to. 617 00:31:12,120 --> 00:31:13,000 Speaker 2: Care for others. 618 00:31:14,400 --> 00:31:17,080 Speaker 5: Yeah, you know, it's such a so absurd and you know, 619 00:31:17,120 --> 00:31:19,560 Speaker 5: and seeing that also is the same thing with the 620 00:31:19,560 --> 00:31:23,160 Speaker 5: misinformation and disinformation in the politics. I've seen the misinformation 621 00:31:23,240 --> 00:31:25,960 Speaker 5: that's happening already in our Senate race, where they're taking 622 00:31:25,960 --> 00:31:28,520 Speaker 5: things out of context and sending it out where they're 623 00:31:28,560 --> 00:31:32,920 Speaker 5: allowing for Trump tactics. I don't know if there's going 624 00:31:33,000 --> 00:31:36,640 Speaker 5: to be like an actual term for that soon where 625 00:31:36,360 --> 00:31:40,000 Speaker 5: our Republican senators and companies are using that and fell 626 00:31:40,160 --> 00:31:43,880 Speaker 5: fully into that. The point that we have a QAnon 627 00:31:44,040 --> 00:31:48,120 Speaker 5: person going into the House that's representing us because they 628 00:31:48,120 --> 00:31:52,040 Speaker 5: are allowing for this as the norm, and the fact 629 00:31:52,080 --> 00:31:54,720 Speaker 5: of the matter is it's still working enough that we 630 00:31:54,800 --> 00:31:56,040 Speaker 5: have a runoff instead of a win. 631 00:31:56,960 --> 00:32:00,680 Speaker 4: Like yes, a thousand times yes, I could not. I'm 632 00:32:00,760 --> 00:32:04,400 Speaker 4: like snapping my fingers and nodding my head in agreement, 633 00:32:04,880 --> 00:32:08,840 Speaker 4: and like just really think about that. The fact that 634 00:32:09,120 --> 00:32:13,760 Speaker 4: caring about others empathy, that's being framed as something that's bad, 635 00:32:13,880 --> 00:32:16,720 Speaker 4: something that you don't want from your your leaders, right 636 00:32:17,320 --> 00:32:20,640 Speaker 4: that is that doesn't make any sense. It's good to 637 00:32:20,720 --> 00:32:23,800 Speaker 4: care about others. Caring about others is not a bad thing. 638 00:32:24,200 --> 00:32:26,760 Speaker 4: I think when Biden did his town hall, and just 639 00:32:26,760 --> 00:32:28,600 Speaker 4: to be clear, like I'm happy that he's going to 640 00:32:28,600 --> 00:32:30,120 Speaker 4: be our next president, but like he is not the 641 00:32:30,240 --> 00:32:32,200 Speaker 4: end all be all of like progressivism or by. 642 00:32:32,120 --> 00:32:34,480 Speaker 3: Any means, but what he did is town hall. 643 00:32:34,880 --> 00:32:37,640 Speaker 4: I don't remember who it was, but some Republican was like, 644 00:32:38,440 --> 00:32:40,920 Speaker 4: oh it was almost like watching mister an episode of 645 00:32:40,960 --> 00:32:43,520 Speaker 4: Mister Rogers, you know, it was just like like we 646 00:32:43,600 --> 00:32:45,760 Speaker 4: get it, you care And I was like, why is 647 00:32:45,760 --> 00:32:46,480 Speaker 4: that a bad thing? 648 00:32:46,600 --> 00:32:49,040 Speaker 3: Like like where are we what? Like what world are. 649 00:32:48,920 --> 00:32:49,440 Speaker 2: We living in? 650 00:32:49,480 --> 00:32:49,800 Speaker 3: Where? 651 00:32:50,600 --> 00:32:54,880 Speaker 4: You know, all cats tweets are good, like all all 652 00:32:54,920 --> 00:32:57,360 Speaker 4: caps tweets about how like you have been cheated? 653 00:32:57,800 --> 00:32:58,520 Speaker 3: That's good. 654 00:32:58,600 --> 00:33:01,600 Speaker 4: And like empathy that's like like up as down, black 655 00:33:01,640 --> 00:33:04,480 Speaker 4: as white, yeah, and that's. 656 00:33:04,320 --> 00:33:04,720 Speaker 5: Wrong with. 657 00:33:07,560 --> 00:33:10,040 Speaker 1: We do have some more for you listeners, but first 658 00:33:10,040 --> 00:33:11,640 Speaker 1: we're gonna pause for a quick break for a word 659 00:33:11,680 --> 00:33:27,520 Speaker 1: from our sponsor, and we're got to thank you sponsors. 660 00:33:29,000 --> 00:33:31,840 Speaker 5: I think the difference between the left and the right 661 00:33:31,920 --> 00:33:34,720 Speaker 5: right now, the extreme right, I will say, and the 662 00:33:34,760 --> 00:33:37,880 Speaker 5: extreme left. We don't see these people's I say we 663 00:33:38,360 --> 00:33:40,320 Speaker 5: the left does not see people as gods. 664 00:33:40,360 --> 00:33:41,920 Speaker 2: This is not our choice. 665 00:33:41,920 --> 00:33:44,160 Speaker 5: This is not someone that like God blessed them into 666 00:33:44,200 --> 00:33:47,240 Speaker 5: the situation or whoever you worship made this person for us. 667 00:33:47,320 --> 00:33:50,120 Speaker 3: It's gonna fix everything. No, we're just trying to find 668 00:33:50,160 --> 00:33:51,239 Speaker 3: out what normal is. 669 00:33:51,280 --> 00:33:52,840 Speaker 5: And we just really want to get back to the 670 00:33:52,880 --> 00:33:54,920 Speaker 5: point that we don't have to fight with people every 671 00:33:55,000 --> 00:33:58,400 Speaker 5: day about again the lies about the masks and the 672 00:33:58,480 --> 00:34:00,560 Speaker 5: lies about whether or not we should shut down, or 673 00:34:00,600 --> 00:34:02,600 Speaker 5: whether we should care, or whether we should fight with 674 00:34:02,640 --> 00:34:04,720 Speaker 5: a ten year old girl who cares about her environment, Like, 675 00:34:05,960 --> 00:34:07,880 Speaker 5: we just want to get to the point where. 676 00:34:07,720 --> 00:34:08,719 Speaker 2: That's not a thing. 677 00:34:09,200 --> 00:34:12,320 Speaker 5: But we see that the right, like I have seen 678 00:34:12,440 --> 00:34:15,759 Speaker 5: so many freaking memes about Jesus touching Donald Trump, Like 679 00:34:15,920 --> 00:34:18,280 Speaker 5: I've never in my life been like. 680 00:34:18,840 --> 00:34:22,680 Speaker 3: What is with this? With this kind of level of 681 00:34:22,760 --> 00:34:24,160 Speaker 3: worship for a man. 682 00:34:23,960 --> 00:34:26,800 Speaker 5: Who does a cash honestly. 683 00:34:26,400 --> 00:34:30,040 Speaker 3: In the end, other than wanting to win absolutely. 684 00:34:30,080 --> 00:34:32,319 Speaker 4: I mean, that's what I always tell people, as someone 685 00:34:32,360 --> 00:34:34,920 Speaker 4: who has been in politics and activism and organizing on 686 00:34:34,960 --> 00:34:36,240 Speaker 4: the left for a very long time. 687 00:34:37,040 --> 00:34:40,440 Speaker 3: No elected official is like your best friend, Right. 688 00:34:40,440 --> 00:34:42,879 Speaker 4: You are electing someone that you think you can move, 689 00:34:42,960 --> 00:34:44,880 Speaker 4: that you think you can push, that you are that 690 00:34:44,920 --> 00:34:48,360 Speaker 4: you are down to be holding accountable for four years. 691 00:34:48,400 --> 00:34:51,400 Speaker 3: And you know, I'm no huge fan of Biden Harris. 692 00:34:51,480 --> 00:34:53,279 Speaker 4: I'm I voted for them, I'm happy they're in the 693 00:34:53,280 --> 00:34:55,440 Speaker 4: White House, but I'm more happy to spend the next 694 00:34:55,520 --> 00:34:58,960 Speaker 4: four years pushing them and holding them accountable and you know, 695 00:34:59,320 --> 00:35:02,319 Speaker 4: making hard asks, right, Like, I think that when you 696 00:35:02,480 --> 00:35:05,000 Speaker 4: are picking an elected official, you want to pick somebody 697 00:35:05,040 --> 00:35:08,680 Speaker 4: that you can't see yourself holding accountable and not picking 698 00:35:08,880 --> 00:35:11,080 Speaker 4: like this is an American idol. You're not picking your 699 00:35:11,160 --> 00:35:13,279 Speaker 4: like you know, your best friend for life, or like 700 00:35:13,520 --> 00:35:15,520 Speaker 4: someone who you think is going to be, you know, 701 00:35:15,960 --> 00:35:18,279 Speaker 4: the best. Ever, it just doesn't work that way. Like 702 00:35:18,320 --> 00:35:20,759 Speaker 4: every I feel like every politician eventually will break your heart. 703 00:35:20,800 --> 00:35:23,440 Speaker 4: And so you really just got to be thinking strategic 704 00:35:23,440 --> 00:35:25,600 Speaker 4: about who you pick and who you vote for. But 705 00:35:25,640 --> 00:35:28,840 Speaker 4: it's certainly you know, yeah, like this idea that Trump 706 00:35:28,840 --> 00:35:31,480 Speaker 4: has been blessed by God or something. 707 00:35:31,480 --> 00:35:34,840 Speaker 3: I mean, like, I guess I have a lot of 708 00:35:34,920 --> 00:35:37,719 Speaker 3: questions about people who feel who feel that way. I guess. 709 00:35:39,760 --> 00:35:42,920 Speaker 5: Again, so do I because I'm very very confused. You know, 710 00:35:43,000 --> 00:35:45,040 Speaker 5: there's another thought, and this may be a whole episode 711 00:35:45,040 --> 00:35:48,360 Speaker 5: in itself, and I think we probably will. But the idea, 712 00:35:48,520 --> 00:35:51,080 Speaker 5: like when I'm talking about religion, when we're talking about 713 00:35:51,120 --> 00:35:54,160 Speaker 5: God in general, that that does play on this very 714 00:35:54,200 --> 00:35:58,000 Speaker 5: heteronormative idea of what is chosen and what is good 715 00:35:58,000 --> 00:36:00,239 Speaker 5: and what is not good, because you know, we can 716 00:36:00,239 --> 00:36:02,359 Speaker 5: talk about the fact that a majority of people who 717 00:36:02,400 --> 00:36:04,799 Speaker 5: are voting in the right are doing it based on 718 00:36:04,880 --> 00:36:08,759 Speaker 5: abortion right anti abortion and their quote unquote pro life 719 00:36:08,840 --> 00:36:11,800 Speaker 5: stance and that term should be done away with anyway, 720 00:36:12,560 --> 00:36:14,600 Speaker 5: and it does. It seems like it hones in on 721 00:36:14,920 --> 00:36:19,040 Speaker 5: women in itself, especially those who have grown up in 722 00:36:19,239 --> 00:36:23,759 Speaker 5: religious bases. And I wonder also because that's what I 723 00:36:23,840 --> 00:36:26,719 Speaker 5: see in play a lot of the time to get 724 00:36:26,760 --> 00:36:30,200 Speaker 5: at people for that stance, like the commercials and stuff. 725 00:36:30,400 --> 00:36:32,760 Speaker 5: One of the big conversations, one of the big points 726 00:36:32,800 --> 00:36:35,920 Speaker 5: they say is we are here to support police. We 727 00:36:35,960 --> 00:36:38,400 Speaker 5: are here to keep the way of life, the American 728 00:36:38,440 --> 00:36:41,000 Speaker 5: way of life. And it's such a weird rhetoric, but 729 00:36:41,080 --> 00:36:45,200 Speaker 5: it seems to work for those who are steeped in tradition, 730 00:36:45,680 --> 00:36:48,960 Speaker 5: as in fact that Judge Alito just has kind of 731 00:36:48,960 --> 00:36:51,400 Speaker 5: stepped into some controversy because he just finally said what 732 00:36:51,440 --> 00:36:55,400 Speaker 5: he felt and that he wanted to bring traditional American 733 00:36:55,440 --> 00:36:57,799 Speaker 5: households back to what it was and this is like, 734 00:36:57,880 --> 00:37:00,520 Speaker 5: this is love and this is morality. It's kind of 735 00:37:00,560 --> 00:37:04,359 Speaker 5: interesting that we can look at some of that misinformation 736 00:37:04,480 --> 00:37:07,759 Speaker 5: and making sure they use that as a prompt to 737 00:37:07,840 --> 00:37:09,759 Speaker 5: get those voters and to keep those voters in It 738 00:37:10,400 --> 00:37:13,839 Speaker 5: majority of works with older white women, Yes, it really is. 739 00:37:14,200 --> 00:37:19,600 Speaker 4: It's so effective. You know, I've seen disinformation around abortion. 740 00:37:19,800 --> 00:37:23,759 Speaker 4: Like I've seen memes on Facebook, especially where they're trying 741 00:37:23,800 --> 00:37:27,040 Speaker 4: to they'll say like, oh, you're a woman can terminate 742 00:37:27,080 --> 00:37:30,480 Speaker 4: a pregnancy at you know, up until the moment that 743 00:37:30,520 --> 00:37:32,640 Speaker 4: she gives births. And it's like, no, if someone if 744 00:37:32,640 --> 00:37:35,319 Speaker 4: someone is term, if someone is doing an abortion that 745 00:37:35,520 --> 00:37:38,920 Speaker 4: late in the game, something else is going on, right 746 00:37:39,000 --> 00:37:43,080 Speaker 4: Like like we I've seen so many, so many instances 747 00:37:43,120 --> 00:37:47,480 Speaker 4: where it's just outright lies about abortion because disinformers know 748 00:37:47,560 --> 00:37:50,000 Speaker 4: that these topics that require a little bit of nuances, 749 00:37:50,080 --> 00:37:52,560 Speaker 4: that are emotionally charged, like those are the ones that 750 00:37:52,600 --> 00:37:54,640 Speaker 4: really work. And you know, I think I think that 751 00:37:54,680 --> 00:37:58,320 Speaker 4: you're right about it being something that really does move voters. 752 00:37:58,320 --> 00:38:01,880 Speaker 4: And I have to say, a growing demographic of Latin 753 00:38:02,000 --> 00:38:05,400 Speaker 4: of the LATINX community voted for Trump and abortion was 754 00:38:05,440 --> 00:38:08,879 Speaker 4: an issue that they self reported as something that moved them. 755 00:38:08,880 --> 00:38:13,359 Speaker 3: That they are not there, that they're not okay with the. 756 00:38:13,280 --> 00:38:16,120 Speaker 4: Fact that the Biden Harris administration is pro choase, and 757 00:38:16,160 --> 00:38:18,279 Speaker 4: so I do think there is so much more work 758 00:38:18,320 --> 00:38:23,600 Speaker 4: to be done around how we message voters on these 759 00:38:23,640 --> 00:38:26,440 Speaker 4: topics that require a little bit of sensitivity and a 760 00:38:26,480 --> 00:38:28,120 Speaker 4: little bit of nuance to discuss I think that we 761 00:38:28,120 --> 00:38:30,279 Speaker 4: have so much work to be done, and I think 762 00:38:30,880 --> 00:38:33,880 Speaker 4: on the left, I'm excited to see us starting to 763 00:38:33,880 --> 00:38:39,440 Speaker 4: have some conversations around like, well, how can we provide 764 00:38:39,560 --> 00:38:43,280 Speaker 4: off ramps for people who have been misled by very 765 00:38:43,320 --> 00:38:46,560 Speaker 4: savvy disinformers. To be clear, I don't know what that 766 00:38:46,600 --> 00:38:50,160 Speaker 4: looks like, that is, like, I'm happy to have those conversations, 767 00:38:50,440 --> 00:38:52,760 Speaker 4: but I do think, you know, we have a country 768 00:38:52,760 --> 00:38:56,560 Speaker 4: where a good chunk of people have been really cruelly 769 00:38:56,680 --> 00:39:01,440 Speaker 4: misled by very effective disinformers are around things like QAnon, 770 00:39:01,840 --> 00:39:05,600 Speaker 4: around things like reproductive care, and I do want to 771 00:39:05,719 --> 00:39:08,400 Speaker 4: build off ramps for those people to be like, listen, 772 00:39:09,239 --> 00:39:11,080 Speaker 4: things got wild there and you got you got, you 773 00:39:11,120 --> 00:39:13,279 Speaker 4: got taken by somebody who did not have your best 774 00:39:13,280 --> 00:39:15,360 Speaker 4: interests at heart. Here's how we get you back to 775 00:39:15,360 --> 00:39:17,320 Speaker 4: where you need to be. You know, I want to 776 00:39:17,360 --> 00:39:19,800 Speaker 4: be part of those conversations. 777 00:39:19,640 --> 00:39:21,640 Speaker 5: Right, I mean that is a big question because I 778 00:39:21,760 --> 00:39:23,799 Speaker 5: definitely have you know, we've talked about it before with 779 00:39:23,880 --> 00:39:26,480 Speaker 5: my family and itself, trying to have these conversation and 780 00:39:26,560 --> 00:39:29,200 Speaker 5: just literally just fights and crying, like. 781 00:39:29,239 --> 00:39:30,600 Speaker 3: That's what ends up happening. 782 00:39:31,000 --> 00:39:33,719 Speaker 5: But how do you approach this in a way that 783 00:39:33,800 --> 00:39:38,640 Speaker 5: you can have a constructive conversation without being angry with 784 00:39:38,680 --> 00:39:41,640 Speaker 5: one another, because you know, of course they have their ideas, 785 00:39:41,640 --> 00:39:43,920 Speaker 5: and I've heard my parents' ideas, and I grew up 786 00:39:44,000 --> 00:39:46,880 Speaker 5: under their parents, my parents' ideas, but I came from 787 00:39:47,120 --> 00:39:50,279 Speaker 5: that to this to see the practical, like, uh, this 788 00:39:50,320 --> 00:39:52,040 Speaker 5: is where the lives were, and this is why this 789 00:39:52,080 --> 00:39:55,239 Speaker 5: is incorrect. And I've been with friends who have had 790 00:39:55,280 --> 00:39:57,560 Speaker 5: to have as what they would call late term abortion 791 00:39:57,640 --> 00:40:00,319 Speaker 5: and not by the way I've heard it, heard them 792 00:40:00,360 --> 00:40:03,080 Speaker 5: recently say after birth abortions, and I'm still trying to 793 00:40:03,120 --> 00:40:04,719 Speaker 5: figure that out. So I'm like, are you talking about 794 00:40:04,760 --> 00:40:08,880 Speaker 5: killing babies? What's happening? So I think that in itself 795 00:40:08,920 --> 00:40:11,479 Speaker 5: has been a new platform too. I was like, y'all 796 00:40:11,480 --> 00:40:15,719 Speaker 5: are going real, real into this, but talking to them 797 00:40:15,760 --> 00:40:18,600 Speaker 5: about their tragedy and having to be there and the 798 00:40:18,640 --> 00:40:21,520 Speaker 5: fact that this is like going through these painful things 799 00:40:21,520 --> 00:40:25,520 Speaker 5: and then being accused of doing something so horrible as 800 00:40:25,560 --> 00:40:27,440 Speaker 5: in like you killed your child, right, you do this 801 00:40:27,480 --> 00:40:28,040 Speaker 5: on purpose? 802 00:40:28,239 --> 00:40:29,759 Speaker 3: And just to watch that. 803 00:40:29,719 --> 00:40:32,520 Speaker 5: Conversation and trying to sit down and I'm like, you 804 00:40:32,800 --> 00:40:36,280 Speaker 5: understand what you're doing, right, You are vilifying the very 805 00:40:36,320 --> 00:40:39,520 Speaker 5: people who are with you and want these children and 806 00:40:39,560 --> 00:40:43,319 Speaker 5: love these you know, love these unborn babies as you 807 00:40:43,360 --> 00:40:45,040 Speaker 5: want to you know, whatever you want to call and 808 00:40:45,160 --> 00:40:47,480 Speaker 5: term them. Is the fact that they intended to have 809 00:40:47,560 --> 00:40:51,320 Speaker 5: this child but they couldn't, and that is tragedy in itself. 810 00:40:51,600 --> 00:40:54,600 Speaker 5: But how do you have these conversations of like we 811 00:40:54,680 --> 00:40:57,160 Speaker 5: need to break down and being able to communicate with 812 00:40:57,239 --> 00:40:59,120 Speaker 5: each other, and also I need to be able to 813 00:40:59,120 --> 00:41:03,560 Speaker 5: tell you, hey, that video you just posted yeah as bullshit. 814 00:41:03,680 --> 00:41:06,880 Speaker 3: It is ridiculous. How do you have these conversations? So 815 00:41:07,000 --> 00:41:09,160 Speaker 3: I have a lot to say about this one. 816 00:41:09,400 --> 00:41:12,680 Speaker 4: I think on the abortion part of this specifically, I 817 00:41:12,680 --> 00:41:15,400 Speaker 4: think it really comes down to abortion storytelling. There have 818 00:41:15,480 --> 00:41:19,719 Speaker 4: been so many amazing groups like we Testify shout out 819 00:41:19,760 --> 00:41:21,759 Speaker 4: to Abortion, who have been doing such amazing work in 820 00:41:21,760 --> 00:41:26,560 Speaker 4: this space, really helping people tell their stories about their 821 00:41:26,600 --> 00:41:29,680 Speaker 4: abortion experience in a way that can counter some of 822 00:41:29,719 --> 00:41:31,319 Speaker 4: this misinformation and disinformation. 823 00:41:31,719 --> 00:41:31,919 Speaker 3: Right. 824 00:41:32,200 --> 00:41:36,600 Speaker 4: I also think, you know, for heterosexual folks out there 825 00:41:36,719 --> 00:41:39,640 Speaker 4: or folks who have like male identified folks out there, 826 00:41:39,960 --> 00:41:44,640 Speaker 4: I don't like the fact that oftentimes talking about abortion 827 00:41:44,719 --> 00:41:47,279 Speaker 4: and talking about reproductive care is just seen as like. 828 00:41:47,239 --> 00:41:48,320 Speaker 3: A woman's job. 829 00:41:48,440 --> 00:41:52,040 Speaker 4: Or a woman's role when we know that so many 830 00:41:52,080 --> 00:41:54,040 Speaker 4: men out there have benefited from an abortion. 831 00:41:54,239 --> 00:41:56,040 Speaker 3: And I don't like the fact. 832 00:41:55,760 --> 00:42:00,520 Speaker 4: That it's just like on us as women to be 833 00:42:00,520 --> 00:42:03,160 Speaker 4: bearing our souls on something that is very sensitive and 834 00:42:03,239 --> 00:42:04,600 Speaker 4: like difficult to talk about. 835 00:42:04,600 --> 00:42:06,680 Speaker 3: Sometimes it's just up to us. And so I think 836 00:42:06,760 --> 00:42:08,600 Speaker 3: more men should. 837 00:42:08,320 --> 00:42:10,240 Speaker 4: Be stepping up to the plate and be like, yeah, 838 00:42:10,600 --> 00:42:13,239 Speaker 4: abortion impacted my life in these ways, and here's what 839 00:42:13,280 --> 00:42:14,640 Speaker 4: it looks like for us, or here's what it looks 840 00:42:14,640 --> 00:42:15,000 Speaker 4: like for me. 841 00:42:15,200 --> 00:42:16,920 Speaker 3: Right, it shouldn't just be on us. 842 00:42:16,800 --> 00:42:19,759 Speaker 4: To shoulder this burden in terms of how we talk 843 00:42:19,800 --> 00:42:22,759 Speaker 4: to our families about some of the disinformation that they 844 00:42:22,760 --> 00:42:25,560 Speaker 4: can get wrapped up in. Pen America Foundation has a 845 00:42:25,600 --> 00:42:29,200 Speaker 4: wonderful guide if you just google pen America and misinformation 846 00:42:29,640 --> 00:42:33,520 Speaker 4: on how you talk to your family you know about disinformation, 847 00:42:33,600 --> 00:42:35,480 Speaker 4: And some of the things I recommend are do it 848 00:42:35,520 --> 00:42:37,279 Speaker 4: in private, Like you don't want to be doing it 849 00:42:37,360 --> 00:42:40,319 Speaker 4: on a public Facebook post one, because you might be 850 00:42:40,440 --> 00:42:43,760 Speaker 4: just like pushing that wild post into more people's feeds. 851 00:42:43,880 --> 00:42:46,839 Speaker 4: And then also it's like it's just it's weird when 852 00:42:46,920 --> 00:42:48,320 Speaker 4: you get called out in public. 853 00:42:48,320 --> 00:42:48,600 Speaker 3: People. 854 00:42:48,640 --> 00:42:50,640 Speaker 4: It just people can be already on the defensive. So 855 00:42:50,680 --> 00:42:52,600 Speaker 4: if you do it in private, if you send them 856 00:42:52,640 --> 00:42:54,320 Speaker 4: a private message or call them on the phone, it 857 00:42:54,400 --> 00:42:56,480 Speaker 4: might be a little bit better, so that it's not 858 00:42:56,560 --> 00:42:58,839 Speaker 4: they're not coming from a place of like, well, all 859 00:42:58,880 --> 00:43:01,319 Speaker 4: my followers are watching this interaction and I have to 860 00:43:01,360 --> 00:43:03,320 Speaker 4: react in a certain way. So doing it in private, 861 00:43:03,719 --> 00:43:06,200 Speaker 4: and also just something else that you said, Sam, like 862 00:43:06,880 --> 00:43:10,000 Speaker 4: keeping empathy at the front of your mind, right, so 863 00:43:10,120 --> 00:43:13,040 Speaker 4: like remember trying to put yourself in this person's shoes. 864 00:43:13,440 --> 00:43:15,439 Speaker 4: I have found that nine times out of ten, people 865 00:43:15,440 --> 00:43:18,880 Speaker 4: who are getting caught up in lies and distortions on 866 00:43:18,920 --> 00:43:22,960 Speaker 4: social media especially, they are scared, they are fearful. They 867 00:43:22,960 --> 00:43:26,160 Speaker 4: are looking for answers. They're looking for explanations. They're looking 868 00:43:26,160 --> 00:43:29,600 Speaker 4: for anything that makes how they feel or what they 869 00:43:29,640 --> 00:43:32,480 Speaker 4: think or their worldview. They're looking for anything to make 870 00:43:32,560 --> 00:43:36,000 Speaker 4: that feel okay. And these disinformers know that, and they 871 00:43:36,000 --> 00:43:38,719 Speaker 4: are sure, you know, right as rain, they will be 872 00:43:38,760 --> 00:43:42,040 Speaker 4: there to fill that gap. And so knowing kind of 873 00:43:42,040 --> 00:43:44,759 Speaker 4: a little bit about the emotional situation that somebody who 874 00:43:44,800 --> 00:43:48,240 Speaker 4: is getting taken by disinformation, knowing a little bit about 875 00:43:48,280 --> 00:43:50,280 Speaker 4: where they might be, and being a little bit willing 876 00:43:50,320 --> 00:43:53,560 Speaker 4: to like have a conversation that acknowledges that one of 877 00:43:53,600 --> 00:43:56,680 Speaker 4: the reasons why I got involved in disinformation in the 878 00:43:56,680 --> 00:43:59,840 Speaker 4: first place is that I there's not really another. 879 00:43:59,600 --> 00:44:00,000 Speaker 3: Way to say. 880 00:44:00,200 --> 00:44:03,359 Speaker 4: I feel like I lost a good friend to conspiracy 881 00:44:03,360 --> 00:44:07,160 Speaker 4: theories and disinformation, and I feel like I waited too 882 00:44:07,320 --> 00:44:10,200 Speaker 4: late to do the things that I'm suggesting that people 883 00:44:10,280 --> 00:44:12,800 Speaker 4: do now. Like I spent a lot of time getting 884 00:44:12,840 --> 00:44:15,560 Speaker 4: into like heated back and forth on Facebook where we 885 00:44:15,600 --> 00:44:17,680 Speaker 4: would be arguing in the comments and then people would 886 00:44:17,680 --> 00:44:19,799 Speaker 4: be like texting me about it and it would be 887 00:44:19,800 --> 00:44:24,520 Speaker 4: like a big tense thing. I later realized that I 888 00:44:24,640 --> 00:44:27,399 Speaker 4: was just pushing him further and further into this kind 889 00:44:27,400 --> 00:44:30,600 Speaker 4: of thinking, and you know, we are not friends now. 890 00:44:30,680 --> 00:44:33,840 Speaker 4: And I look back and I think, gee, you know, 891 00:44:34,880 --> 00:44:37,439 Speaker 4: what would it have been like if I had took 892 00:44:37,480 --> 00:44:40,359 Speaker 4: the time to talk to my friend have a real 893 00:44:40,400 --> 00:44:42,719 Speaker 4: conversation about where he was at and why he was 894 00:44:42,760 --> 00:44:45,840 Speaker 4: being drawn to some of these wilder conspiracy theories on 895 00:44:45,880 --> 00:44:48,080 Speaker 4: the net, right, Like, you know, I would have probably 896 00:44:48,080 --> 00:44:49,640 Speaker 4: found out that he had just moved to a new 897 00:44:49,719 --> 00:44:51,760 Speaker 4: city and it was really lonely. I would have probably 898 00:44:51,800 --> 00:44:55,440 Speaker 4: found out that, you know, conspiracy theory groups online all 899 00:44:55,480 --> 00:44:57,800 Speaker 4: for a kind of like twenty four to seven online 900 00:44:57,840 --> 00:45:00,359 Speaker 4: community that he was probably craving. I would have out 901 00:45:00,360 --> 00:45:01,959 Speaker 4: all of this stuff, but I never took the time. 902 00:45:02,200 --> 00:45:05,000 Speaker 4: I did everything wrong, And I just I want people 903 00:45:05,360 --> 00:45:07,479 Speaker 4: to know that if someone that you love, if someone 904 00:45:07,520 --> 00:45:10,040 Speaker 4: who you have been in community with, you see them, 905 00:45:10,160 --> 00:45:13,200 Speaker 4: you see yourself losing them, you have options that you 906 00:45:13,200 --> 00:45:14,480 Speaker 4: can take. You don't have to do what I did, 907 00:45:14,480 --> 00:45:17,120 Speaker 4: which is to do everything wrong and then like you know, 908 00:45:17,400 --> 00:45:19,960 Speaker 4: bitch about it on Facebook and then like be salty 909 00:45:20,000 --> 00:45:20,680 Speaker 4: in the comments. 910 00:45:21,120 --> 00:45:23,200 Speaker 3: You can you have what you have. 911 00:45:23,160 --> 00:45:25,400 Speaker 4: Resources that can help you figure out how to have 912 00:45:25,480 --> 00:45:27,960 Speaker 4: this conversation. But I do think we need to be 913 00:45:28,640 --> 00:45:31,160 Speaker 4: having these conversations, you know. I think that people that 914 00:45:31,239 --> 00:45:34,279 Speaker 4: get wrapped up in this they need to know that 915 00:45:34,400 --> 00:45:36,319 Speaker 4: are off ramps. They need to know that like they 916 00:45:36,320 --> 00:45:38,439 Speaker 4: will not be shunned if they if they come out 917 00:45:38,440 --> 00:45:38,600 Speaker 4: of it. 918 00:45:38,640 --> 00:45:39,760 Speaker 3: I think that's very important. 919 00:45:41,480 --> 00:45:42,600 Speaker 2: Ah, that's great advice. 920 00:45:43,680 --> 00:45:47,680 Speaker 1: And you've mentioned some some groups already, but if you 921 00:45:47,719 --> 00:45:51,319 Speaker 1: could go over some ways that they're these groups are 922 00:45:51,560 --> 00:45:55,200 Speaker 1: biting disinformation and misinformation and for folks who are interested 923 00:45:55,239 --> 00:45:56,240 Speaker 1: how they can get involved. 924 00:45:56,360 --> 00:45:58,800 Speaker 4: Yeah, Well, pen America is a great resource. They have 925 00:45:58,840 --> 00:46:01,720 Speaker 4: a great guide. As they mentioned, I would be remiss 926 00:46:01,719 --> 00:46:04,839 Speaker 4: if I had not mention my own organization, Ultraviolet. We 927 00:46:04,880 --> 00:46:07,800 Speaker 4: are a gender justice organization that tries to build political 928 00:46:07,800 --> 00:46:10,880 Speaker 4: and social power for women and non binary folks. And 929 00:46:11,320 --> 00:46:14,080 Speaker 4: we actually put out an ad calling out Cheryl Sandberg 930 00:46:14,120 --> 00:46:17,080 Speaker 4: about disinformation on Facebook. So definitely check that out, and 931 00:46:17,239 --> 00:46:18,719 Speaker 4: if you want to get involved, you can go to 932 00:46:18,960 --> 00:46:22,319 Speaker 4: act dot We are ultra violet dot org and check 933 00:46:22,360 --> 00:46:26,160 Speaker 4: out our campaign calling Facebook to be more accountable for 934 00:46:26,239 --> 00:46:27,040 Speaker 4: their platforms. 935 00:46:27,880 --> 00:46:31,000 Speaker 2: Love it, Yeah, I love it? Boom. 936 00:46:32,800 --> 00:46:35,400 Speaker 1: Is there anything else you want UH to say before 937 00:46:35,400 --> 00:46:37,799 Speaker 1: we wrap up? And then obviously you can shut out 938 00:46:37,800 --> 00:46:39,080 Speaker 1: where listeners can find you. 939 00:46:39,800 --> 00:46:44,000 Speaker 4: I would just say I know things you know earlier today, Anna, 940 00:46:44,080 --> 00:46:47,920 Speaker 4: you called our upcoming winter our dark winter, and boy do. 941 00:46:47,920 --> 00:46:48,480 Speaker 3: I feel that. 942 00:46:49,800 --> 00:46:52,719 Speaker 4: But I would just say, you know, stuff is hard 943 00:46:52,760 --> 00:46:55,880 Speaker 4: right now, stuff is dark right now, But we have 944 00:46:55,920 --> 00:46:57,719 Speaker 4: each other. We got this, Like I don't I don't know. 945 00:46:57,719 --> 00:47:00,240 Speaker 4: I guess I feel like so much of my day 946 00:47:00,400 --> 00:47:03,080 Speaker 4: is full of doom and gloom and preparing for the worst. 947 00:47:03,160 --> 00:47:06,719 Speaker 3: But you know, I think we have each other. 948 00:47:07,200 --> 00:47:09,920 Speaker 4: We have spaces like stuff I've ever told you to 949 00:47:10,200 --> 00:47:13,080 Speaker 4: build community and have conversations and so when times are 950 00:47:13,120 --> 00:47:16,200 Speaker 4: scary or heart or cold and dark, just come back 951 00:47:16,239 --> 00:47:18,200 Speaker 4: to that. Just remember that we have community, we have 952 00:47:18,280 --> 00:47:21,000 Speaker 4: each other. We have We're not powerless, We're powerful in 953 00:47:21,080 --> 00:47:21,480 Speaker 4: each other. 954 00:47:22,760 --> 00:47:24,759 Speaker 5: Oh yeah, I'm gonna take that a little bit and 955 00:47:25,080 --> 00:47:29,280 Speaker 5: put it on my phone. 956 00:47:30,239 --> 00:47:30,439 Speaker 3: Yeah. 957 00:47:30,440 --> 00:47:32,960 Speaker 1: I love that, because right before we were talking, I said, 958 00:47:33,000 --> 00:47:37,200 Speaker 1: how I found this article that said how are you 959 00:47:37,280 --> 00:47:42,160 Speaker 1: as become a triggering question? So I like this positive 960 00:47:42,200 --> 00:47:46,479 Speaker 1: note and I definitely have have been feeling it, which 961 00:47:46,520 --> 00:47:50,120 Speaker 1: was nice. It's it's almost like something was coming back 962 00:47:50,160 --> 00:47:52,000 Speaker 1: to life. It'd be that I hadn't realized to just 963 00:47:52,040 --> 00:47:56,120 Speaker 1: sort of died off for a little bit. So yeah, yeah, 964 00:47:56,200 --> 00:48:00,520 Speaker 1: that's great, And thank you as always for coming by 965 00:48:00,560 --> 00:48:02,640 Speaker 1: Bridget and having these conversations with us. 966 00:48:03,239 --> 00:48:06,840 Speaker 2: We love it. They're so valuable. Where can the listeners 967 00:48:06,840 --> 00:48:07,680 Speaker 2: find you. 968 00:48:07,680 --> 00:48:10,759 Speaker 4: You can find me on Twitter at Bridget Marie. You 969 00:48:10,760 --> 00:48:13,000 Speaker 4: can find me on Instagram at Bridget Marie and DC. 970 00:48:13,440 --> 00:48:15,520 Speaker 4: And if you want to have more conversations about how 971 00:48:15,560 --> 00:48:17,799 Speaker 4: women are showing up on the Internet, check out my 972 00:48:17,840 --> 00:48:21,120 Speaker 4: podcast on iHeartRadio this very network called there Are No 973 00:48:21,239 --> 00:48:22,240 Speaker 4: Girls on the Internet. 974 00:48:23,680 --> 00:48:24,880 Speaker 2: Yes, definitely do that. 975 00:48:25,000 --> 00:48:28,400 Speaker 1: I'm still I'm so prepared, Bridget for the fan fiction episode. 976 00:48:28,680 --> 00:48:29,960 Speaker 2: Oh, I'm there. 977 00:48:30,000 --> 00:48:32,560 Speaker 3: We gotta do it. I honestly, we got we have 978 00:48:32,640 --> 00:48:34,400 Speaker 3: to do it. It's happening. Yeah, it's happening. 979 00:48:35,360 --> 00:48:38,080 Speaker 5: You gotta do this one. She's ready, she is so 980 00:48:39,480 --> 00:48:40,280 Speaker 5: many terms. 981 00:48:40,920 --> 00:48:41,800 Speaker 2: Yes, oh so excited. 982 00:48:41,800 --> 00:48:46,279 Speaker 1: Honestly, you should probably just like mute and just like 983 00:48:46,840 --> 00:48:48,760 Speaker 1: I don't know, do something else and kind of pretend 984 00:48:48,800 --> 00:48:50,200 Speaker 1: you're listening to me and let me get it out 985 00:48:50,200 --> 00:48:50,840 Speaker 1: of my system. 986 00:48:52,840 --> 00:48:54,319 Speaker 2: I wouldn't be offended at all. 987 00:48:55,480 --> 00:48:57,040 Speaker 3: I love it. I love it. 988 00:48:59,320 --> 00:48:59,520 Speaker 2: Well. 989 00:48:59,600 --> 00:49:01,719 Speaker 1: I look forward to that, and we look forward to 990 00:49:01,760 --> 00:49:05,759 Speaker 1: having you back for the next next entry and what 991 00:49:05,920 --> 00:49:08,520 Speaker 1: I'm sticking with the winternet. But if listeners have another 992 00:49:09,320 --> 00:49:12,040 Speaker 1: another better name, I will. I'm open, I'm open. 993 00:49:12,680 --> 00:49:14,640 Speaker 3: I like I like winternet. I think it's got a 994 00:49:14,719 --> 00:49:15,399 Speaker 3: nice ring to it. 995 00:49:16,320 --> 00:49:20,600 Speaker 2: Yeah, thank you, thank you. I need constant validation on 996 00:49:20,640 --> 00:49:21,239 Speaker 2: my title name. 997 00:49:21,320 --> 00:49:26,080 Speaker 5: That's all we keep you around, Bridget, constant validation and 998 00:49:26,160 --> 00:49:26,880 Speaker 5: good information. 999 00:49:27,080 --> 00:49:32,120 Speaker 2: But also also that also that the listeners. 1000 00:49:32,120 --> 00:49:33,759 Speaker 1: If you want to reach us, you can email us 1001 00:49:33,760 --> 00:49:36,520 Speaker 1: at Steph Mediamomstuff at iHeartMedia dot com. You can find 1002 00:49:36,600 --> 00:49:39,040 Speaker 1: us on Twitter at mom Stuff Podcast or on Instagram 1003 00:49:39,080 --> 00:49:40,160 Speaker 1: at Stuff I've Never told you. 1004 00:49:40,600 --> 00:49:42,480 Speaker 2: Thanks it's always to our super producer. 1005 00:49:42,120 --> 00:49:45,920 Speaker 1: Andrew HOWARDK you, and thanks to you for listening stuff 1006 00:49:45,960 --> 00:49:47,960 Speaker 1: I've Never told you the protection of iHeartRadio. For more 1007 00:49:47,960 --> 00:49:50,960 Speaker 1: podcasts from iHeartRadio VI, is it the iHeartRadio app, Apple podcast, 1008 00:49:51,040 --> 00:49:52,520 Speaker 1: or wherever you listen to your paper shows