1 00:00:04,160 --> 00:00:05,880 Speaker 1: There Are No Girls on the Internet. As a production 2 00:00:05,920 --> 00:00:12,960 Speaker 1: of My Heart Radio and Unboss Creative. I'm Bridget Todd 3 00:00:13,200 --> 00:00:14,880 Speaker 1: and this is There Are No Girls on the Internet. 4 00:00:17,400 --> 00:00:20,560 Speaker 1: Today marks the one year anniversary of the insurrection at 5 00:00:20,560 --> 00:00:23,279 Speaker 1: the Capitol. I live in Washington, d C. And I 6 00:00:23,320 --> 00:00:27,000 Speaker 1: don't think I'll ever forget going from watching historic returns 7 00:00:27,040 --> 00:00:29,880 Speaker 1: in the Georgia Senate runoff election and watching votes be 8 00:00:29,960 --> 00:00:33,600 Speaker 1: certified for President Joe Biden on television to watching violent 9 00:00:33,680 --> 00:00:37,600 Speaker 1: insurrectionists storm the capital in real time from my apartment, 10 00:00:37,600 --> 00:00:40,920 Speaker 1: which is only about a mile away now. January six 11 00:00:41,000 --> 00:00:43,920 Speaker 1: at the Capitol was not the first time that extremists 12 00:00:44,040 --> 00:00:46,400 Speaker 1: have resorted to violence to try to get what they want. 13 00:00:46,880 --> 00:00:50,640 Speaker 1: In fact, many of the tactics and major players that 14 00:00:50,720 --> 00:00:53,440 Speaker 1: led to the deadly insurrection at the Capitol were the 15 00:00:53,640 --> 00:00:57,000 Speaker 1: very same that abortion providers and advocates have been warning 16 00:00:57,000 --> 00:01:00,520 Speaker 1: about for decades. A few days after the insurrection last year, 17 00:01:00,960 --> 00:01:03,520 Speaker 1: I joined my friend Samantha and Annie at the podcast 18 00:01:03,560 --> 00:01:06,440 Speaker 1: stuff Mom Never Told You to break down the huge 19 00:01:06,640 --> 00:01:09,920 Speaker 1: overlap between the anti abortion movement and the insurrection at 20 00:01:09,920 --> 00:01:17,559 Speaker 1: the Capitol and what it means for all of us. Hey, 21 00:01:17,640 --> 00:01:20,200 Speaker 1: this is Annie and Samantha, and welcome to Steph I 22 00:01:20,360 --> 00:01:31,400 Speaker 1: ever told you a production of I Heart Radio. Today, 23 00:01:31,440 --> 00:01:34,400 Speaker 1: we are once again joined by our good friend and 24 00:01:34,480 --> 00:01:38,160 Speaker 1: colleague Bridget Todd. Hello, Bridget, Hello, I'm so excited to 25 00:01:38,200 --> 00:01:41,200 Speaker 1: be here again. Yes, always a pleasure to have you. 26 00:01:41,280 --> 00:01:47,400 Speaker 1: And Wow, I think we recorded in early December was 27 00:01:47,400 --> 00:01:50,960 Speaker 1: the last time we met up in this virtual podcasting space. 28 00:01:51,960 --> 00:01:55,160 Speaker 1: And a lot has happened. A lot has happened. Doesn't 29 00:01:55,200 --> 00:01:58,200 Speaker 1: that feel like it was years ago? It really does. 30 00:01:58,640 --> 00:02:01,800 Speaker 1: It feels so for and I feel like I have 31 00:02:01,960 --> 00:02:04,560 Speaker 1: slept a mania nights. There's been a mini a moon 32 00:02:04,760 --> 00:02:06,919 Speaker 1: set of things have happened. I feel like I've already 33 00:02:06,960 --> 00:02:09,840 Speaker 1: aged ten years. Yeah, so there's a lot like I 34 00:02:09,880 --> 00:02:14,080 Speaker 1: feel like it's it was a lot, yes, And so 35 00:02:14,160 --> 00:02:16,959 Speaker 1: we wanted to ask you because the topic you're bringing 36 00:02:17,240 --> 00:02:21,119 Speaker 1: us today is related both to past topics you've talked about, 37 00:02:21,160 --> 00:02:24,720 Speaker 1: but also too what happened in the capital of the 38 00:02:24,800 --> 00:02:27,840 Speaker 1: violence at the capital, and since you're in Washington, d C. 39 00:02:28,720 --> 00:02:31,040 Speaker 1: We wanted to ask you about it. What was that like? 40 00:02:31,360 --> 00:02:34,040 Speaker 1: Thank you for asking. It was very odd, as you 41 00:02:34,120 --> 00:02:36,960 Speaker 1: might imagine. So when I woke up on January Ay six, 42 00:02:37,080 --> 00:02:39,160 Speaker 1: before I went to bed. I had been watching the 43 00:02:39,240 --> 00:02:41,960 Speaker 1: numbers come in from the Georgia Senate runoffs, and I 44 00:02:42,000 --> 00:02:45,440 Speaker 1: was feeling very good. I put on my lucky shirt 45 00:02:45,520 --> 00:02:47,360 Speaker 1: that has a shirtly chism look quote on it, and 46 00:02:47,400 --> 00:02:51,200 Speaker 1: so like, you know, I woke up beaming. I remember 47 00:02:51,200 --> 00:02:54,160 Speaker 1: waking up like good morning. I was so excited, and 48 00:02:54,200 --> 00:02:57,120 Speaker 1: I think it was because I had not felt that 49 00:02:57,240 --> 00:02:58,920 Speaker 1: kind of hope in a long time. So I was 50 00:02:58,960 --> 00:03:02,000 Speaker 1: like feeling very very hopeful that morning, and it was 51 00:03:02,040 --> 00:03:03,880 Speaker 1: like a like a power and a hope that I 52 00:03:03,880 --> 00:03:06,320 Speaker 1: had not felt in I guess the last four years. 53 00:03:06,840 --> 00:03:15,240 Speaker 1: And how quickly that feeling of hopefulness turned into just powerlessness. 54 00:03:15,320 --> 00:03:18,400 Speaker 1: As I watched, you know, this insurrection happened, and I 55 00:03:18,440 --> 00:03:21,400 Speaker 1: think that, like I was watching, it happened on television 56 00:03:21,520 --> 00:03:24,520 Speaker 1: kind of in real time, and so it really got 57 00:03:24,600 --> 00:03:28,079 Speaker 1: so dark and so serious. So quickly it went from 58 00:03:28,080 --> 00:03:31,520 Speaker 1: of course, there's just gonna be these Trump supporters, you know, 59 00:03:31,560 --> 00:03:35,040 Speaker 1: standing out to the Capitol protesting, sure to like, oh 60 00:03:35,080 --> 00:03:37,480 Speaker 1: my god, this is bad. You know, we got you 61 00:03:37,520 --> 00:03:38,960 Speaker 1: know those things that you get on your phone and 62 00:03:39,040 --> 00:03:41,920 Speaker 1: there's an amber alert, those like things on your phone. 63 00:03:42,280 --> 00:03:44,200 Speaker 1: We everybody who was in my household got one of 64 00:03:44,240 --> 00:03:46,640 Speaker 1: those at the same time from the Mayor of DC 65 00:03:46,800 --> 00:03:48,800 Speaker 1: saying that there was a state of emergency order, there 66 00:03:48,840 --> 00:03:52,240 Speaker 1: was a curfew, we couldn't go out. It happened very quickly, 67 00:03:52,240 --> 00:03:54,680 Speaker 1: And yeah, when I watched it, I'm always making this point, 68 00:03:54,720 --> 00:03:57,000 Speaker 1: but DC is my home. I was raised here, this 69 00:03:57,120 --> 00:03:58,880 Speaker 1: is my community. I lived here. This is like what 70 00:03:58,960 --> 00:04:03,320 Speaker 1: I consider home. And I think that because it's where 71 00:04:03,360 --> 00:04:05,800 Speaker 1: so much of our federal government stuff happens and where 72 00:04:05,880 --> 00:04:09,880 Speaker 1: the you know, the capital is, people forget that just 73 00:04:10,040 --> 00:04:12,960 Speaker 1: regular folks live here, Like this is where people live. 74 00:04:13,000 --> 00:04:16,279 Speaker 1: And so I was really heartbroken by thinking about this 75 00:04:16,360 --> 00:04:18,400 Speaker 1: as not just an attack on our democracy and on 76 00:04:18,440 --> 00:04:21,279 Speaker 1: our capital, but also on my community. You know, d 77 00:04:21,400 --> 00:04:24,440 Speaker 1: C is largely black and brown, and so when these 78 00:04:24,440 --> 00:04:27,599 Speaker 1: people were storming the capital, I saw videos where after 79 00:04:27,640 --> 00:04:29,719 Speaker 1: they were storming the capitol, where did they go, Oh, 80 00:04:29,760 --> 00:04:34,719 Speaker 1: to our restaurants, to our hotels, to our institutions, And 81 00:04:35,040 --> 00:04:37,479 Speaker 1: just the idea that these people would be kind of 82 00:04:37,760 --> 00:04:41,880 Speaker 1: unleashed on my community really hurt. And so, you know, 83 00:04:41,920 --> 00:04:43,400 Speaker 1: I always just got to like make sure that that 84 00:04:43,480 --> 00:04:46,520 Speaker 1: point gets included, that it's not just lawmakers who live 85 00:04:46,520 --> 00:04:48,920 Speaker 1: in d C. It's real people, some of WHI who 86 00:04:48,920 --> 00:04:51,039 Speaker 1: have no connection to the government, and so it was 87 00:04:51,080 --> 00:04:53,440 Speaker 1: not just an attack on our democracy and our capital 88 00:04:53,520 --> 00:04:56,719 Speaker 1: was also attack on these people are our home, you know. Yeah, 89 00:04:57,480 --> 00:04:59,599 Speaker 1: because we were all watching closely and knowing that you 90 00:04:59,640 --> 00:05:02,279 Speaker 1: were my one of my connections in d C. Definitely 91 00:05:02,320 --> 00:05:05,760 Speaker 1: like follow you on Twitter. You actually mentioned like, hey, 92 00:05:05,760 --> 00:05:07,920 Speaker 1: thanks a lot for bringing in the corona, like not 93 00:05:08,120 --> 00:05:10,760 Speaker 1: wearing a mask and infecting our city and we were 94 00:05:10,760 --> 00:05:12,760 Speaker 1: trying to control it, and you just made this bigger 95 00:05:12,760 --> 00:05:15,480 Speaker 1: disaster because they were not only in your community, at 96 00:05:15,520 --> 00:05:18,520 Speaker 1: your restaurants, at your hotels, at your places of service, 97 00:05:18,720 --> 00:05:20,360 Speaker 1: as if this was a free for all, as if 98 00:05:20,360 --> 00:05:22,839 Speaker 1: nothing were happening, and of course no one was arrested, 99 00:05:22,880 --> 00:05:24,839 Speaker 1: so therefore they were just out and about doing their thing. 100 00:05:25,200 --> 00:05:27,159 Speaker 1: I just saw a report saying like a thirty something 101 00:05:27,240 --> 00:05:31,400 Speaker 1: Capital police officers tested positives for corona just recently. But yeah, 102 00:05:31,520 --> 00:05:33,280 Speaker 1: I saw you tweeting that. I was like, oh my god, 103 00:05:33,520 --> 00:05:34,880 Speaker 1: she's so right. I didn't even think of that that 104 00:05:34,880 --> 00:05:37,039 Speaker 1: part because I'm just looking at the violence. But holy crap, 105 00:05:37,080 --> 00:05:40,120 Speaker 1: it's a pandemic, Y'all's a pandemic. And it's like we 106 00:05:40,279 --> 00:05:43,560 Speaker 1: just don't need this, and it totally I think that 107 00:05:43,760 --> 00:05:46,480 Speaker 1: residents of DC have been pretty compliant when it comes 108 00:05:46,480 --> 00:05:49,200 Speaker 1: to socially distancing and masking and all that kind of stuff. 109 00:05:49,440 --> 00:05:52,719 Speaker 1: But just we have enough stuff going on as a city, 110 00:05:52,960 --> 00:05:55,240 Speaker 1: you know, on top of the pandemic and everything else. 111 00:05:55,320 --> 00:05:57,560 Speaker 1: Is it's just like one more big thing that we 112 00:05:57,600 --> 00:05:59,880 Speaker 1: don't need. And I think it's also really hard to 113 00:06:00,000 --> 00:06:02,200 Speaker 1: act that d C is not really a state. I 114 00:06:02,200 --> 00:06:05,240 Speaker 1: think that people just forget, like people don't understand that 115 00:06:05,360 --> 00:06:08,039 Speaker 1: we don't have the same kind of protections or support 116 00:06:08,120 --> 00:06:10,000 Speaker 1: that states have because we're not a state. And so 117 00:06:10,480 --> 00:06:12,680 Speaker 1: you know, when the mayor was trying to get the 118 00:06:12,760 --> 00:06:15,680 Speaker 1: National Guard to come in, that was delayed because she said, 119 00:06:15,720 --> 00:06:17,440 Speaker 1: a mayor, she doesn't have that authority, and so she 120 00:06:17,440 --> 00:06:19,800 Speaker 1: had to get special permission. You know. I think it 121 00:06:19,880 --> 00:06:22,520 Speaker 1: really illustrated to me how important it is that DC 122 00:06:22,720 --> 00:06:25,719 Speaker 1: becomes a state at some point, because it just doesn't work. 123 00:06:25,800 --> 00:06:28,400 Speaker 1: And every other place right now is being ravaged by 124 00:06:28,400 --> 00:06:32,159 Speaker 1: the pandemic as is d C. And yeah, this doesn't help. 125 00:06:32,480 --> 00:06:34,599 Speaker 1: We didn't need this. We're already having a tough time. 126 00:06:35,960 --> 00:06:43,880 Speaker 1: The realities of when people decided to do stupid things exactly. Yeah, 127 00:06:44,120 --> 00:06:48,120 Speaker 1: and so glad you're okay. And in the wake of 128 00:06:48,160 --> 00:06:49,960 Speaker 1: all of this, there's of course been a lot of 129 00:06:50,000 --> 00:06:53,120 Speaker 1: looking into what happened and what led up to it 130 00:06:53,279 --> 00:06:56,040 Speaker 1: and the people that were there. And I just remember 131 00:06:56,080 --> 00:06:58,520 Speaker 1: so clearly you've come on here and spoken a lot 132 00:06:58,560 --> 00:07:02,279 Speaker 1: about disinformation and missing information, and you said, like, people 133 00:07:02,279 --> 00:07:07,640 Speaker 1: forget that these online things have real world consequences, and 134 00:07:07,680 --> 00:07:11,160 Speaker 1: this was like one of the most I couldn't think 135 00:07:11,200 --> 00:07:16,480 Speaker 1: of a better example. And we were also been talking 136 00:07:16,520 --> 00:07:19,600 Speaker 1: about women and Q and On and this very specific 137 00:07:19,680 --> 00:07:22,520 Speaker 1: kind of like fear around children. And one of the 138 00:07:22,560 --> 00:07:25,720 Speaker 1: things you wanted to talk about today is the anti 139 00:07:25,760 --> 00:07:29,400 Speaker 1: abortion movement and how that was a part of this 140 00:07:29,440 --> 00:07:33,560 Speaker 1: whole thing of what happened at the Capitol. Right. Absolutely, 141 00:07:33,720 --> 00:07:37,480 Speaker 1: I'm grateful that folks like yourself are continuing to pull 142 00:07:37,520 --> 00:07:41,000 Speaker 1: apart all the different aspects of how we got here, 143 00:07:41,040 --> 00:07:44,200 Speaker 1: whether it's Q and on targeting women who are concerned 144 00:07:44,200 --> 00:07:46,760 Speaker 1: about children, and so I think that the connection between 145 00:07:46,960 --> 00:07:48,840 Speaker 1: the violence that we saw the capital and the anti 146 00:07:48,880 --> 00:07:51,840 Speaker 1: abortion movement is just one more of those kind of 147 00:07:51,920 --> 00:07:54,240 Speaker 1: nuggets that I think we should, you know, not ignore, 148 00:07:54,320 --> 00:07:57,680 Speaker 1: because there are so many different aspects that got us 149 00:07:57,720 --> 00:08:00,400 Speaker 1: to January six at the Capitol. I think that we 150 00:08:00,400 --> 00:08:02,640 Speaker 1: should be talking about all of them, and I think 151 00:08:02,680 --> 00:08:04,800 Speaker 1: some of them are easier to go sort of overlooked 152 00:08:04,880 --> 00:08:06,800 Speaker 1: or a race, and I think the connections to the 153 00:08:06,840 --> 00:08:09,080 Speaker 1: anti abortion movement is one of them, And so I 154 00:08:09,160 --> 00:08:11,119 Speaker 1: really have to start by shouting out a couple of people. 155 00:08:11,440 --> 00:08:14,400 Speaker 1: There is a great piece by Lauren Rankin and Refinery 156 00:08:14,440 --> 00:08:17,600 Speaker 1: twenty nine called how anti abortion terrorism field the MAGA 157 00:08:17,640 --> 00:08:20,640 Speaker 1: attack on the Capitol. Really great piece. Cannot recommend it enough. 158 00:08:20,800 --> 00:08:23,880 Speaker 1: And then another investigation by Carter Sherman at Vice called 159 00:08:24,200 --> 00:08:27,080 Speaker 1: anti abortion activists were all over the Capital riots. So 160 00:08:27,320 --> 00:08:29,280 Speaker 1: a lot of the information that I have found have 161 00:08:29,320 --> 00:08:31,400 Speaker 1: come from those two pieces. And I also just have 162 00:08:31,440 --> 00:08:33,400 Speaker 1: to shout out my friend Renney Bracy Sherman of the 163 00:08:33,520 --> 00:08:37,360 Speaker 1: organization We Testify. We Testifies an organization that tries to 164 00:08:37,440 --> 00:08:40,640 Speaker 1: increase representation for people who got abortions, and so they 165 00:08:40,679 --> 00:08:43,079 Speaker 1: were doing a lot of that work of saying, oh, hey, 166 00:08:43,200 --> 00:08:45,040 Speaker 1: some of the people who were at the Capitol, they 167 00:08:45,080 --> 00:08:48,800 Speaker 1: are very known to you know, abortion providers and abortion activists, 168 00:08:49,080 --> 00:08:51,439 Speaker 1: and so I really just have to shout out the 169 00:08:51,480 --> 00:08:53,680 Speaker 1: people who are doing the work to make sure that 170 00:08:53,679 --> 00:08:56,120 Speaker 1: that conversation sort of we get to have it, and 171 00:08:56,120 --> 00:08:59,719 Speaker 1: that we don't let stigma or whatever keep us from 172 00:08:59,720 --> 00:09:02,360 Speaker 1: having this conversation that can really help us understand how 173 00:09:02,360 --> 00:09:05,200 Speaker 1: we got to the insurrection on the six. And then yeah, 174 00:09:05,240 --> 00:09:07,440 Speaker 1: also just the fact that last week was the forty 175 00:09:07,440 --> 00:09:10,240 Speaker 1: eighth anniversary of Row versus Wade, you know, the landmark 176 00:09:10,280 --> 00:09:13,480 Speaker 1: Supreme Court decision legalizing abortion in the US, and so 177 00:09:13,720 --> 00:09:16,480 Speaker 1: on that day, I really was sitting with the fact 178 00:09:16,559 --> 00:09:19,880 Speaker 1: that the same kind of tactics that abortion advocates have 179 00:09:19,960 --> 00:09:23,360 Speaker 1: been warning about and screaming about and you know, pointing 180 00:09:23,400 --> 00:09:26,600 Speaker 1: to for the longest time, those are the same tactics 181 00:09:26,600 --> 00:09:29,840 Speaker 1: that got us to January six with these people all 182 00:09:29,880 --> 00:09:32,079 Speaker 1: storming the capital. I think that they're very, very similar, 183 00:09:32,120 --> 00:09:34,280 Speaker 1: and they have a lot of overlap. Can you break 184 00:09:34,320 --> 00:09:37,560 Speaker 1: down the disinformation that led up to this one, but 185 00:09:37,720 --> 00:09:41,520 Speaker 1: also some of that overlap, because this isn't like a 186 00:09:41,600 --> 00:09:46,839 Speaker 1: new occurrence violence within anti abortion movements. Absolutely, it is 187 00:09:46,880 --> 00:09:50,160 Speaker 1: not a new occurrence. So just like the insurrection was 188 00:09:50,240 --> 00:09:52,520 Speaker 1: kind of fueled by what they're now calling the big 189 00:09:52,640 --> 00:09:54,599 Speaker 1: lie that Trump won the election and that it was 190 00:09:54,640 --> 00:09:58,160 Speaker 1: being stolen from him. The anti abortion movement has similarly 191 00:09:58,320 --> 00:10:03,080 Speaker 1: trafficked in just straight lies about abortion, about people who 192 00:10:03,080 --> 00:10:06,760 Speaker 1: have them, about abortion providers, and I think it really 193 00:10:06,960 --> 00:10:10,600 Speaker 1: illustrates what happens when those lies go more or less unchallenged. 194 00:10:10,640 --> 00:10:13,160 Speaker 1: And so, you know, when putting together with my information 195 00:10:13,160 --> 00:10:15,839 Speaker 1: for this episode, I was like, oh, yeah, some abortion 196 00:10:15,960 --> 00:10:19,760 Speaker 1: disinformation and misinformation and in accuracies are so common that 197 00:10:19,800 --> 00:10:21,880 Speaker 1: you don't even really think about it anymore. And actually, 198 00:10:21,920 --> 00:10:24,880 Speaker 1: just last week, the University of California Berkeley School of 199 00:10:24,920 --> 00:10:27,680 Speaker 1: Public Health put out a study that found that four 200 00:10:27,720 --> 00:10:30,280 Speaker 1: of the five most presented web pages in response to 201 00:10:30,320 --> 00:10:34,800 Speaker 1: a search for abortion pill on Google were less than accurate. Right. 202 00:10:34,840 --> 00:10:37,960 Speaker 1: And so just the idea that on our biggest search engine, 203 00:10:38,240 --> 00:10:42,400 Speaker 1: when you Google for information about abortion, it is likely 204 00:10:42,440 --> 00:10:44,800 Speaker 1: that information is a lie, is not true, and it's 205 00:10:44,800 --> 00:10:47,640 Speaker 1: like misleading, right. And so I think that a big 206 00:10:47,679 --> 00:10:51,479 Speaker 1: thing to point out here is what happens when fabrications 207 00:10:51,520 --> 00:10:53,520 Speaker 1: are just tolerated. That that's just like the state of 208 00:10:53,559 --> 00:10:56,319 Speaker 1: play when it comes to misinformation. And I think also 209 00:10:56,400 --> 00:10:57,760 Speaker 1: when you look at, you know, the lead up to 210 00:10:57,760 --> 00:11:03,480 Speaker 1: the election, we saw so much inaccurate information being flooded 211 00:11:03,480 --> 00:11:06,440 Speaker 1: on social media about Biden and Harris and their positions 212 00:11:06,440 --> 00:11:09,840 Speaker 1: on abortion. And the thing that's like really sad but 213 00:11:09,880 --> 00:11:12,880 Speaker 1: also shows how savvy these disinformers can be, is that 214 00:11:13,320 --> 00:11:16,800 Speaker 1: disinformers know that there is a lack of good news 215 00:11:16,840 --> 00:11:19,880 Speaker 1: and media sources that are in Spanish, and so they 216 00:11:19,920 --> 00:11:23,679 Speaker 1: then fill that gap with inaccurate information that is in Spanish. 217 00:11:23,720 --> 00:11:27,240 Speaker 1: And so you saw the Latin X community being really 218 00:11:27,280 --> 00:11:33,000 Speaker 1: targeted and inundated by inaccurate distorted information about abortion meant 219 00:11:33,040 --> 00:11:36,720 Speaker 1: to impact the outcome of the election. And so another 220 00:11:36,840 --> 00:11:39,520 Speaker 1: point is that these often are happening in what's App 221 00:11:39,559 --> 00:11:42,400 Speaker 1: groups that are private, so like unlike Facebook where you 222 00:11:42,400 --> 00:11:44,080 Speaker 1: can kind of get a sense of like what's happening, 223 00:11:44,160 --> 00:11:46,400 Speaker 1: or Twitter, where it's happening mostly in public. It's a 224 00:11:46,400 --> 00:11:49,720 Speaker 1: close platform to have, you know, your private what's App 225 00:11:49,720 --> 00:11:51,760 Speaker 1: group with your aunts and uncles and cousins, right, And 226 00:11:51,800 --> 00:11:56,720 Speaker 1: so we saw lots of really horrific anti abortion messaging 227 00:11:57,679 --> 00:12:00,200 Speaker 1: targeting the Latin X community in Spanish speaking community is 228 00:12:00,280 --> 00:12:04,400 Speaker 1: on these platforms. And so yeah, I think that much 229 00:12:04,480 --> 00:12:08,400 Speaker 1: like with the insurrection, when you have just an accepted 230 00:12:08,679 --> 00:12:13,240 Speaker 1: baseline of inaccurate information about people who have abortions, about 231 00:12:13,240 --> 00:12:17,720 Speaker 1: abortion providers, about underrepresented our marginalized communities. It can actually 232 00:12:17,760 --> 00:12:22,000 Speaker 1: translate to real world violence, real world danger, real world threats. 233 00:12:22,000 --> 00:12:24,760 Speaker 1: This is not something that this is happening online. Researchers 234 00:12:24,760 --> 00:12:40,000 Speaker 1: have been very clear about that. You know, one of 235 00:12:40,080 --> 00:12:42,040 Speaker 1: the things that I just read and we just know 236 00:12:42,120 --> 00:12:45,160 Speaker 1: that happened in Kentucky is they passed the born alive 237 00:12:45,440 --> 00:12:49,920 Speaker 1: abortion ban, which is nothing more than a political statement 238 00:12:50,040 --> 00:12:53,320 Speaker 1: trying to do some fear moongraing saying this is what's happening, 239 00:12:53,440 --> 00:12:55,080 Speaker 1: this is what the Democrats are doing. You see, they're 240 00:12:55,120 --> 00:12:57,960 Speaker 1: killing the babies after they're born, which is absolutely false. 241 00:12:58,160 --> 00:13:00,000 Speaker 1: But then we have a narrative where they actually put 242 00:13:00,040 --> 00:13:03,200 Speaker 1: it into law, so it seems like it's real because like, 243 00:13:03,280 --> 00:13:05,920 Speaker 1: here's an a moment that's attitude state law. We have 244 00:13:06,000 --> 00:13:08,600 Speaker 1: to address it as making it illegal because it's happening 245 00:13:08,880 --> 00:13:12,640 Speaker 1: so much, which is a part of that misinformation that 246 00:13:12,760 --> 00:13:16,400 Speaker 1: is being thrown out there. But it's so scary, and 247 00:13:16,520 --> 00:13:18,720 Speaker 1: which is also why this back and forth about this 248 00:13:18,840 --> 00:13:21,240 Speaker 1: unity and letting people go because you know, they didn't 249 00:13:21,280 --> 00:13:23,360 Speaker 1: know what they were doing. Trump told them to do it. 250 00:13:23,440 --> 00:13:27,120 Speaker 1: All this it's this level of giving some kind of 251 00:13:27,280 --> 00:13:31,319 Speaker 1: meat to this rumor, which is completely unfounded, but because 252 00:13:31,360 --> 00:13:35,760 Speaker 1: it's a political move it's so scary to see because 253 00:13:36,080 --> 00:13:39,080 Speaker 1: once again, here we go with this misinformation, not just 254 00:13:39,200 --> 00:13:41,640 Speaker 1: being a rumor, not just being an outright lie, which 255 00:13:41,840 --> 00:13:46,480 Speaker 1: obviously people are believing anyway. How do you see with 256 00:13:46,600 --> 00:13:49,040 Speaker 1: all of that, with that type of strategy, with that 257 00:13:49,120 --> 00:13:52,120 Speaker 1: type of fear mongering that's actually part of our government structure, 258 00:13:52,360 --> 00:13:55,439 Speaker 1: how do you see that bleeding into things like these riots? 259 00:13:55,840 --> 00:13:58,920 Speaker 1: Oh my gosh, it's so incredibly frustrating, Like what you 260 00:13:59,040 --> 00:14:02,240 Speaker 1: just described, I have worked in the feminist movement and 261 00:14:02,679 --> 00:14:05,240 Speaker 1: you know, spaces like that for most of my adult life, 262 00:14:05,280 --> 00:14:08,760 Speaker 1: and it's not new, but it is. It sure is frustrating, 263 00:14:09,800 --> 00:14:14,840 Speaker 1: you know, when we spend actual resources and time and 264 00:14:15,000 --> 00:14:18,719 Speaker 1: energy on things that are not true, things that are 265 00:14:18,720 --> 00:14:22,240 Speaker 1: just like fabrications. And I I understand the sentiment. You know, 266 00:14:22,280 --> 00:14:26,040 Speaker 1: A good example is when Project Veritas put out those 267 00:14:26,120 --> 00:14:30,160 Speaker 1: videos purporting to show Planned parenthood staffers talking about selling 268 00:14:30,200 --> 00:14:32,840 Speaker 1: body parts and this and that. That was a fabrication, 269 00:14:33,440 --> 00:14:37,560 Speaker 1: But yet we still had to spend time and resources 270 00:14:37,600 --> 00:14:39,880 Speaker 1: combating something that was a lie. And I think that 271 00:14:39,920 --> 00:14:43,119 Speaker 1: you're exactly right that, yes, it's annoying that, like taxpayer 272 00:14:43,120 --> 00:14:46,560 Speaker 1: money and resources gets spent on making laws or legislation 273 00:14:46,560 --> 00:14:49,400 Speaker 1: about things that just aren't happening. But even more than that, 274 00:14:49,480 --> 00:14:52,440 Speaker 1: it's like it takes up so much oxygen in the room, 275 00:14:52,440 --> 00:14:56,800 Speaker 1: Like what meaningful policies could we be discussing or getting past? 276 00:14:57,200 --> 00:14:59,760 Speaker 1: What kind of progress are we not able to get 277 00:14:59,800 --> 00:15:02,880 Speaker 1: to because we were too busy spitting in a circle 278 00:15:02,920 --> 00:15:04,760 Speaker 1: about something that was a lie. So I think that 279 00:15:05,040 --> 00:15:08,080 Speaker 1: as much as what you just described is horrible, it's 280 00:15:08,120 --> 00:15:11,360 Speaker 1: also just it's such a waste because it just takes 281 00:15:11,440 --> 00:15:13,680 Speaker 1: up so much energy people have to spend their time 282 00:15:14,280 --> 00:15:17,120 Speaker 1: combating against things that are just flies. And I think 283 00:15:17,120 --> 00:15:18,960 Speaker 1: that we really have to get to a place in 284 00:15:18,960 --> 00:15:21,720 Speaker 1: this country where I'm not gonna say it started with Trump, 285 00:15:21,800 --> 00:15:24,120 Speaker 1: but he certainly didn't help. I feel like we've gotten 286 00:15:24,120 --> 00:15:27,000 Speaker 1: to a place where people don't understand that there's lies 287 00:15:27,240 --> 00:15:29,720 Speaker 1: and there's true and you can have your opinion. There 288 00:15:29,760 --> 00:15:31,160 Speaker 1: are things where you're like, oh, well, I'm not so 289 00:15:31,240 --> 00:15:33,640 Speaker 1: sure of course, but at the end of the day, 290 00:15:33,840 --> 00:15:36,160 Speaker 1: some things are just live. We have a lot facing 291 00:15:36,240 --> 00:15:38,920 Speaker 1: us as a country. We don't have time or resources 292 00:15:38,960 --> 00:15:40,840 Speaker 1: to spend on things that are just lies. So we've 293 00:15:40,840 --> 00:15:42,120 Speaker 1: got to get back to a place where we can 294 00:15:42,160 --> 00:15:44,560 Speaker 1: all agree like some things are just not true and 295 00:15:44,600 --> 00:15:47,320 Speaker 1: not worth taking the oxygen out of the room to 296 00:15:47,560 --> 00:15:50,200 Speaker 1: combat them, you know what I mean. So with that, 297 00:15:50,360 --> 00:15:53,720 Speaker 1: because of stuff like that, it as another additional need 298 00:15:53,880 --> 00:15:57,480 Speaker 1: of protection for women specifically, but even men. And of 299 00:15:57,520 --> 00:16:00,080 Speaker 1: course we can go into the conversation about how to 300 00:16:00,120 --> 00:16:02,480 Speaker 1: abortion movement is actually a misogynistic movement in order to 301 00:16:02,520 --> 00:16:05,400 Speaker 1: control women's bodies. That's the whole conversation we've had before, 302 00:16:05,560 --> 00:16:08,680 Speaker 1: probably need to have all the times. But when we 303 00:16:08,720 --> 00:16:10,640 Speaker 1: look at things like this riot, when we look at 304 00:16:10,680 --> 00:16:12,440 Speaker 1: the people who are actually involved with it, like you said, 305 00:16:12,480 --> 00:16:14,440 Speaker 1: they were able to pinpoint, Hey, that dude is known 306 00:16:14,480 --> 00:16:17,080 Speaker 1: for coming to threatened women, that dude is known for 307 00:16:17,360 --> 00:16:20,240 Speaker 1: harassing women trying to get to an abortion clinic just 308 00:16:20,320 --> 00:16:23,920 Speaker 1: to have a conversation, or even supporting planned parenthood. How 309 00:16:23,920 --> 00:16:28,280 Speaker 1: do things like legislation like this feed into movements like 310 00:16:28,320 --> 00:16:32,320 Speaker 1: this that causes this like violent rhetoric and almost a 311 00:16:32,520 --> 00:16:35,960 Speaker 1: mob lynching mentality. Yeah, it's a great question. I think 312 00:16:35,960 --> 00:16:40,240 Speaker 1: it legitimizes them. I think when we treat movements that 313 00:16:40,320 --> 00:16:45,360 Speaker 1: are not above threatening, violent tactics, agitation, things like that. 314 00:16:45,640 --> 00:16:47,520 Speaker 1: Of course, I am a protester, you know, I've been 315 00:16:47,560 --> 00:16:51,040 Speaker 1: protesting since I've been a child. So I completely, a 316 00:16:51,120 --> 00:16:56,840 Speaker 1: thousand percent support anyone's free speech and ability to assemble 317 00:16:56,880 --> 00:16:58,960 Speaker 1: and protests, even if it's personal thing I don't agree with. 318 00:16:59,400 --> 00:17:01,400 Speaker 1: That is a tected thing, and I find it to 319 00:17:01,400 --> 00:17:05,240 Speaker 1: be quite sacred. However, harassing people trying to get to 320 00:17:05,280 --> 00:17:07,200 Speaker 1: a clinic so that they can't get into the door, 321 00:17:07,520 --> 00:17:10,840 Speaker 1: that's different, right, Threatening violence, that's different. And so I 322 00:17:10,840 --> 00:17:15,600 Speaker 1: think that when lawmakers, public policy officials, folks like that, 323 00:17:16,040 --> 00:17:20,080 Speaker 1: when they create policy that says, oh, what you're saying, 324 00:17:20,200 --> 00:17:22,199 Speaker 1: that's okay, Like, okay, we'll put out a law that 325 00:17:22,280 --> 00:17:26,240 Speaker 1: says this thing that has that is not happening, it's 326 00:17:26,240 --> 00:17:28,000 Speaker 1: against the law. Now, it's like, I feel like it 327 00:17:28,200 --> 00:17:32,000 Speaker 1: just legitimizes and emboldens people that they can use these 328 00:17:32,080 --> 00:17:34,359 Speaker 1: kinds of tactics to get what they want, right, and 329 00:17:34,440 --> 00:17:36,320 Speaker 1: that's to go back to the insurrection for a moment. 330 00:17:36,320 --> 00:17:37,560 Speaker 1: I think that's one of the things that's been so 331 00:17:37,600 --> 00:17:41,320 Speaker 1: frustrating in the aftermath of this conversation, people saying things like, well, 332 00:17:41,760 --> 00:17:44,199 Speaker 1: you know, if you vote to impeach Trump. That's just 333 00:17:44,320 --> 00:17:46,800 Speaker 1: going to make them more angry. And it's like we 334 00:17:46,840 --> 00:17:48,840 Speaker 1: can't have this. It's like like we can't live in 335 00:17:48,880 --> 00:17:52,879 Speaker 1: a country where we are afraid to do what's needed 336 00:17:52,880 --> 00:17:56,800 Speaker 1: to be done because people think that it's okay to 337 00:17:56,920 --> 00:17:59,240 Speaker 1: respond with violence when they don't get their way. It's 338 00:17:59,280 --> 00:18:00,960 Speaker 1: like that, like we can't have that. A country can't 339 00:18:00,960 --> 00:18:05,160 Speaker 1: be built on that. Yeah. And going back to this 340 00:18:05,760 --> 00:18:09,840 Speaker 1: anti abortion movement and its relation to to the insurrection, 341 00:18:10,800 --> 00:18:14,000 Speaker 1: it's something we've been talking about a lot lately, and 342 00:18:14,119 --> 00:18:16,080 Speaker 1: I've been on my mind a lot lately. Is how 343 00:18:16,160 --> 00:18:18,840 Speaker 1: kind of new it is, Like in a lot of 344 00:18:18,840 --> 00:18:22,399 Speaker 1: ways it's old, but like the strength with the Republican 345 00:18:22,440 --> 00:18:27,040 Speaker 1: Party with conservatism and women are people just voting on abortion? 346 00:18:27,080 --> 00:18:31,080 Speaker 1: And then how like emotional an issue that is for people? 347 00:18:31,600 --> 00:18:35,000 Speaker 1: And then like you said, all of this like these 348 00:18:35,040 --> 00:18:39,240 Speaker 1: false facts and disinformation and misinformation, and people who were 349 00:18:39,280 --> 00:18:42,880 Speaker 1: watching this and who were listening to Trump and and 350 00:18:43,080 --> 00:18:47,480 Speaker 1: watching this like, well, I guess like we didn't know 351 00:18:47,520 --> 00:18:49,600 Speaker 1: it was gonna be right then, but this thing he 352 00:18:49,680 --> 00:18:52,040 Speaker 1: was holding and they were saying like, no, this is 353 00:18:52,359 --> 00:18:55,639 Speaker 1: the anti abortion movement is going to be involved in 354 00:18:55,680 --> 00:19:00,200 Speaker 1: it and it turns out, yes, um, can you talk 355 00:19:00,240 --> 00:19:03,840 Speaker 1: about that? Yes, that's exactly right. So here's what Aaron Mattson, 356 00:19:03,880 --> 00:19:07,520 Speaker 1: the executive director of Reproaction, which they track anti abortion activists. 357 00:19:07,560 --> 00:19:10,560 Speaker 1: Here's what she said. She says, anti abortion agitators have 358 00:19:10,640 --> 00:19:13,600 Speaker 1: been calling and supporting the president. I guess the then president. 359 00:19:16,760 --> 00:19:19,080 Speaker 1: The President's called the store in Washington for some time. 360 00:19:19,560 --> 00:19:21,720 Speaker 1: I know, and I am confident that as time goes 361 00:19:21,760 --> 00:19:23,600 Speaker 1: on and more and more of these photos are analyzed, 362 00:19:23,640 --> 00:19:26,240 Speaker 1: but we'll see more overlap between the anti abortion movement 363 00:19:26,400 --> 00:19:28,800 Speaker 1: and the white supremacists who tried to overthrow the United 364 00:19:28,800 --> 00:19:31,840 Speaker 1: States of America. And she was completely right. A number 365 00:19:31,880 --> 00:19:34,800 Speaker 1: of very prominent anti abortion voices were president at the 366 00:19:34,800 --> 00:19:37,640 Speaker 1: Capitol in June six. And this is not a coincidence. 367 00:19:37,760 --> 00:19:40,679 Speaker 1: There has been this long standing crossover between the two movements, 368 00:19:40,720 --> 00:19:43,840 Speaker 1: the anti abortion movement and white supremacist terror movements. Like 369 00:19:43,880 --> 00:19:46,159 Speaker 1: that is not a new thing. It's gives you all 370 00:19:46,160 --> 00:19:47,800 Speaker 1: have done such a great job of talking about there's 371 00:19:47,840 --> 00:19:51,560 Speaker 1: so much to untangle when it comes to you know, 372 00:19:51,640 --> 00:19:55,760 Speaker 1: white supremacist movements, anti abortion movements, anti women movements, they 373 00:19:55,800 --> 00:19:58,680 Speaker 1: are all kind of in the same stuff, mixed bag 374 00:19:58,920 --> 00:20:02,280 Speaker 1: I yes, you would say. And Vice had a really 375 00:20:02,480 --> 00:20:06,560 Speaker 1: great rundown of all of the different prominent anti abortion 376 00:20:06,680 --> 00:20:09,560 Speaker 1: voices who were at the Capitol that day. Abby Johnson, 377 00:20:09,600 --> 00:20:12,400 Speaker 1: she's one of the nation's highest profile anti abortion activists, 378 00:20:12,720 --> 00:20:14,479 Speaker 1: um and she was in d C. She tweeted an 379 00:20:14,480 --> 00:20:17,240 Speaker 1: image of herself at a Trump rally that preceded uh 380 00:20:17,280 --> 00:20:20,040 Speaker 1: the invasion of the capital, and she wrote front row 381 00:20:20,119 --> 00:20:22,680 Speaker 1: with the most pro life president of our country. John 382 00:20:22,720 --> 00:20:26,080 Speaker 1: Broke Coved, who was a convicted abortion clinic bomber, live 383 00:20:26,119 --> 00:20:28,560 Speaker 1: streamed himself at the Capitol on January six, as he 384 00:20:28,600 --> 00:20:32,199 Speaker 1: put it, quote fighting for our beloved President Donald J. Trump. 385 00:20:32,359 --> 00:20:35,000 Speaker 1: Taylor Hansen, who you might know he got very popular 386 00:20:35,040 --> 00:20:37,680 Speaker 1: by putting these murals up all over the country that 387 00:20:37,720 --> 00:20:41,240 Speaker 1: said baby lives matter. He was there. And also Derek Evans, 388 00:20:41,280 --> 00:20:43,440 Speaker 1: a member of the West Virginia House of Delicates, live 389 00:20:43,480 --> 00:20:46,040 Speaker 1: streamed a video of himself in a helmet urging rioters 390 00:20:46,040 --> 00:20:48,639 Speaker 1: to break into the building. And two years earlier, a 391 00:20:48,680 --> 00:20:51,119 Speaker 1: court forbid Evans from having any contact with a woman 392 00:20:51,320 --> 00:20:54,439 Speaker 1: who helped escort patients at West Virginia's lone abortion clinic 393 00:20:54,680 --> 00:20:58,320 Speaker 1: after she accused him of regularly standing outside and harassing her. 394 00:20:58,440 --> 00:21:02,600 Speaker 1: So these are people who have documented histories of a 395 00:21:02,960 --> 00:21:07,119 Speaker 1: either being very prominent anti abortion voices or b I 396 00:21:07,200 --> 00:21:10,280 Speaker 1: just showing themselves to not be above threats and violence 397 00:21:10,480 --> 00:21:14,080 Speaker 1: to push their extreme anti abortion agenda. So it's not 398 00:21:14,119 --> 00:21:17,920 Speaker 1: a coincidence that these folks also felt that that kind 399 00:21:17,960 --> 00:21:21,480 Speaker 1: of extremism was an appropriate response to be used in 400 00:21:21,520 --> 00:21:24,200 Speaker 1: the capital, you know, and you know, as you're talking 401 00:21:24,200 --> 00:21:28,520 Speaker 1: about specifically Evans, and of course he actually resigned because 402 00:21:28,720 --> 00:21:31,400 Speaker 1: of people actually be like, hey, oh, this is not good. 403 00:21:31,480 --> 00:21:34,320 Speaker 1: Let's not have him represent us, which is nice to see, 404 00:21:34,320 --> 00:21:37,640 Speaker 1: I guess, but he being a violent person who came 405 00:21:37,720 --> 00:21:40,480 Speaker 1: yelling after and harassed to the point that women were scared. 406 00:21:40,720 --> 00:21:42,600 Speaker 1: That was one of the other conversations they were having 407 00:21:42,640 --> 00:21:45,280 Speaker 1: with the anti abortion was many of the people are like, hey, 408 00:21:45,320 --> 00:21:47,560 Speaker 1: that dude, he has so much domestic violence. If you 409 00:21:47,560 --> 00:21:49,680 Speaker 1: look at his rap sheet, that dude is known as 410 00:21:49,760 --> 00:21:52,560 Speaker 1: being violent towards women. Like all of these things that 411 00:21:52,640 --> 00:21:56,600 Speaker 1: had shown obvious. Oh oh, these are the dudes who 412 00:21:56,640 --> 00:21:58,680 Speaker 1: end up being shooters. Like that's kind of that match 413 00:21:58,720 --> 00:22:02,240 Speaker 1: shooter conversation, Like, these are the same people who are 414 00:22:02,280 --> 00:22:07,399 Speaker 1: going after people going to harass and trying to assassinate candidates. 415 00:22:07,560 --> 00:22:10,040 Speaker 1: And we also saw meny who were obviously like the 416 00:22:10,080 --> 00:22:12,720 Speaker 1: Proud Boys, who were very racist, and we knew they 417 00:22:12,720 --> 00:22:14,879 Speaker 1: were racist, and we knew they were white supremacists, and 418 00:22:14,880 --> 00:22:16,800 Speaker 1: they're proud to be white supremacist. And you see all 419 00:22:16,840 --> 00:22:19,120 Speaker 1: of these people like, oh, those are the violent who 420 00:22:19,119 --> 00:22:22,640 Speaker 1: are racist and sexist. How do you think that this 421 00:22:22,720 --> 00:22:25,879 Speaker 1: type of disinformation led to them being the ones that 422 00:22:26,000 --> 00:22:28,320 Speaker 1: led the riots? I mean, it's a great question. I'm 423 00:22:28,320 --> 00:22:31,919 Speaker 1: not at all surprised. You know, we know that disinformation 424 00:22:32,640 --> 00:22:37,280 Speaker 1: largely impacts underrepresented people. So it largely is fueled by 425 00:22:37,359 --> 00:22:40,320 Speaker 1: these horrible distortions about who we are, whether it's women, 426 00:22:40,880 --> 00:22:46,440 Speaker 1: black folks, other communities of color. Disinformation is fueled by racist, sexist, 427 00:22:47,080 --> 00:22:50,840 Speaker 1: like the worst racist sexist imagining of who we are, right, 428 00:22:50,880 --> 00:22:53,800 Speaker 1: that's complete caricatures. And so it is not surprising to 429 00:22:53,800 --> 00:22:57,000 Speaker 1: me that these people would be fueled by this kind 430 00:22:57,040 --> 00:23:00,360 Speaker 1: of hateful content and really truly believe it. And I think, 431 00:23:00,600 --> 00:23:02,879 Speaker 1: you know, to your point, the fact of the matter is, 432 00:23:03,040 --> 00:23:06,440 Speaker 1: I'm happy that Evans resigned. That I'm to the point 433 00:23:06,440 --> 00:23:09,639 Speaker 1: where whenever there's some sort of like accountability or consequence. 434 00:23:09,680 --> 00:23:12,240 Speaker 1: I'm like, oh wow, look at that someone faced a consequence. 435 00:23:12,280 --> 00:23:15,440 Speaker 1: They still have those, but these are people who have 436 00:23:16,119 --> 00:23:20,600 Speaker 1: scary backgrounds, right, people who have shown themselves to not 437 00:23:20,720 --> 00:23:23,040 Speaker 1: be above using violence to get what they want. And 438 00:23:23,080 --> 00:23:26,840 Speaker 1: you're exactly right that because we don't take violence against 439 00:23:26,840 --> 00:23:30,679 Speaker 1: women very seriously. Most times, when there's a mass shooter 440 00:23:30,800 --> 00:23:33,520 Speaker 1: or some sort of mass scale violence behind that, there 441 00:23:33,600 --> 00:23:36,800 Speaker 1: is a trail of people who tried to sound the alarm, 442 00:23:37,000 --> 00:23:39,879 Speaker 1: usually women. You know, I think it was on Christmas 443 00:23:39,880 --> 00:23:42,399 Speaker 1: Eve that guy who he set off a bomb in 444 00:23:42,560 --> 00:23:46,480 Speaker 1: was I wanna say, Tennessee, Nashville, thank you. Come to 445 00:23:46,520 --> 00:23:49,920 Speaker 1: find out his girlfriend previously was like, I think he's 446 00:23:49,960 --> 00:23:52,879 Speaker 1: making a bomb, right, like like pretty clearly, you know, 447 00:23:52,920 --> 00:23:55,000 Speaker 1: when it's like I wish we could get to a 448 00:23:55,040 --> 00:23:59,560 Speaker 1: place where violence against women was disqualifying that like people 449 00:23:59,560 --> 00:24:02,480 Speaker 1: just didn't it slide because it's so often is an 450 00:24:02,480 --> 00:24:05,320 Speaker 1: indicator that something else bad is going to happen. And 451 00:24:05,359 --> 00:24:07,159 Speaker 1: I just wish that we lived in a world where 452 00:24:07,200 --> 00:24:10,560 Speaker 1: these kinds of warnings were taken seriously instead of being ignored. 453 00:24:11,119 --> 00:24:14,320 Speaker 1: Right when we talk about this information happening and we 454 00:24:14,359 --> 00:24:17,920 Speaker 1: see it being targeted towards women specifically. I was kind 455 00:24:17,960 --> 00:24:20,440 Speaker 1: of shocked to see how many women really really dug 456 00:24:20,440 --> 00:24:22,439 Speaker 1: into Q and on and the whole like I have 457 00:24:22,520 --> 00:24:24,520 Speaker 1: to protect my babies. I have to protect my babies. 458 00:24:24,640 --> 00:24:26,920 Speaker 1: But when it comes down to the violence, more often 459 00:24:26,920 --> 00:24:29,280 Speaker 1: than not, as the men. And again, of course we've 460 00:24:29,280 --> 00:24:32,360 Speaker 1: had this conversation again how misogyny plays a bigger part 461 00:24:32,400 --> 00:24:35,919 Speaker 1: of anti abortion movements than we know. How do we 462 00:24:35,960 --> 00:24:38,840 Speaker 1: see that men end up taking these kinds of initiatives 463 00:24:39,000 --> 00:24:41,200 Speaker 1: and owning them I guess is the word, and then 464 00:24:41,240 --> 00:24:45,680 Speaker 1: taking it into such a route that it becomes a volatile, 465 00:24:46,040 --> 00:24:50,880 Speaker 1: bigger movement than what is online. So as what I'm 466 00:24:50,880 --> 00:24:53,040 Speaker 1: saying is like we see a lot of Q and misinformation, 467 00:24:53,080 --> 00:24:55,280 Speaker 1: and we found out that Instagram was one of the 468 00:24:55,320 --> 00:24:59,439 Speaker 1: biggest of connections for women and she using like influencers 469 00:24:59,480 --> 00:25:01,479 Speaker 1: to talk to these women who feel like they need 470 00:25:01,520 --> 00:25:03,520 Speaker 1: to do all these things. But when it comes down 471 00:25:03,520 --> 00:25:06,520 Speaker 1: to like parlor and when it comes down to rend 472 00:25:06,560 --> 00:25:09,520 Speaker 1: it in fourtune, it's the men and who initiate these 473 00:25:09,520 --> 00:25:11,639 Speaker 1: like kind of responses of it. We have to do something, 474 00:25:11,840 --> 00:25:14,960 Speaker 1: let's get armed. And we see that misinformation being bled 475 00:25:15,040 --> 00:25:19,080 Speaker 1: into anti abortion movements, into the only person who can 476 00:25:19,119 --> 00:25:22,800 Speaker 1: say by country is former President Trump. How do we 477 00:25:22,960 --> 00:25:26,240 Speaker 1: see this information being played out where it becomes such 478 00:25:26,280 --> 00:25:29,800 Speaker 1: a big or conspiracy theory that it does lead to violence. Wow, 479 00:25:29,840 --> 00:25:32,800 Speaker 1: that's a long winded question. I'm sorry. I mean it's 480 00:25:32,800 --> 00:25:35,880 Speaker 1: a big question. I think that we know that if 481 00:25:35,880 --> 00:25:39,280 Speaker 1: you hear something enough times that people eventually believe it. 482 00:25:39,320 --> 00:25:41,760 Speaker 1: And so the more times that you hear something, the 483 00:25:41,800 --> 00:25:44,520 Speaker 1: more times that you hear a false claim go completely unchecked, 484 00:25:44,880 --> 00:25:47,680 Speaker 1: people are likely to believe it. I hope that this 485 00:25:47,760 --> 00:25:50,919 Speaker 1: is understood in the spirits, which I mean it people 486 00:25:51,119 --> 00:25:55,400 Speaker 1: who are out to disiniform, out to cause chaos and confusion. 487 00:25:55,720 --> 00:25:58,159 Speaker 1: They're very smart, and they're very savvy, and they're very 488 00:25:58,160 --> 00:26:00,240 Speaker 1: good at it. And I think that the dynam meant 489 00:26:00,240 --> 00:26:02,919 Speaker 1: that you just described where they're sort of a softer 490 00:26:03,160 --> 00:26:05,719 Speaker 1: version of it for women to get them involved, and 491 00:26:05,760 --> 00:26:08,200 Speaker 1: then a lot of the violence is led by men. 492 00:26:09,119 --> 00:26:13,119 Speaker 1: I think that is a really smart, savvy way to 493 00:26:13,400 --> 00:26:17,119 Speaker 1: structure a movement. And somebody once told me, whatever the 494 00:26:17,160 --> 00:26:20,119 Speaker 1: movement is, there's never any kind of movement without women, right, 495 00:26:20,160 --> 00:26:21,920 Speaker 1: And so I do think that we have to have 496 00:26:21,960 --> 00:26:24,560 Speaker 1: some tough conversations about the role that women played because 497 00:26:24,920 --> 00:26:27,680 Speaker 1: one of the first people to die in the insurrection 498 00:26:27,840 --> 00:26:31,640 Speaker 1: was Ashley Babbitt, a woman who had been completely completely, 499 00:26:31,840 --> 00:26:35,320 Speaker 1: just like consumed by Q and On conspiracy theories. And 500 00:26:35,359 --> 00:26:39,560 Speaker 1: so I think that you see women sort of being 501 00:26:39,560 --> 00:26:42,359 Speaker 1: indoctrinated to be sort of like the foot soldiers of 502 00:26:42,400 --> 00:26:46,600 Speaker 1: this movement where men are largely the ones who are 503 00:26:47,160 --> 00:26:50,240 Speaker 1: pushing for violence, like your boogaloo boys and things of 504 00:26:50,280 --> 00:26:53,560 Speaker 1: that nature. That serves a very important function because I 505 00:26:53,560 --> 00:26:57,080 Speaker 1: think that if women are feeling like, well, I need 506 00:26:57,119 --> 00:27:00,639 Speaker 1: to support this because it's going to keep me feeling safe, 507 00:27:00,760 --> 00:27:03,840 Speaker 1: it's going to keep my position in society intact. It's 508 00:27:03,880 --> 00:27:08,879 Speaker 1: a very smart way to have these kinds of conspiracy 509 00:27:08,920 --> 00:27:11,120 Speaker 1: theories be gendered in the way that they are, because 510 00:27:11,160 --> 00:27:13,840 Speaker 1: I think it does ensure that, you know, if you're 511 00:27:13,840 --> 00:27:17,280 Speaker 1: a woman who maybe isn't so into the whole politics thing, 512 00:27:17,520 --> 00:27:19,720 Speaker 1: but you know you don't like the idea of children 513 00:27:19,800 --> 00:27:21,960 Speaker 1: being targeted, and you get wrapped up in Q and On. 514 00:27:22,840 --> 00:27:26,040 Speaker 1: I think that the idea that the men storming the 515 00:27:26,119 --> 00:27:30,920 Speaker 1: capital are going to create safety for you and your children, 516 00:27:31,200 --> 00:27:34,480 Speaker 1: I can understand why that's a seductive message. You know, 517 00:27:34,520 --> 00:27:36,920 Speaker 1: look at the way. That Trump message to white suburban 518 00:27:36,920 --> 00:27:39,639 Speaker 1: women all throughout the election, saying things like, oh, if 519 00:27:39,640 --> 00:27:42,600 Speaker 1: you vote for Biden, quote, antipa is going to be 520 00:27:42,640 --> 00:27:46,040 Speaker 1: at your front door. You know you're gonna have riots, 521 00:27:46,040 --> 00:27:48,280 Speaker 1: and your in your streets. You know your kids aren't safe. 522 00:27:48,960 --> 00:27:50,880 Speaker 1: I think that he messaged that way because I think 523 00:27:50,880 --> 00:27:53,160 Speaker 1: it's effective. Everybody wants to be safe, and I think 524 00:27:53,560 --> 00:27:57,480 Speaker 1: it's a really smart way to ensure that everybody is 525 00:27:57,520 --> 00:27:59,679 Speaker 1: bought in. Even if you're not like a violent person 526 00:27:59,760 --> 00:28:02,000 Speaker 1: and you're not going to be the one breaking windows 527 00:28:02,000 --> 00:28:05,159 Speaker 1: and trying to like hunt down members of Congress with 528 00:28:05,280 --> 00:28:08,000 Speaker 1: zip ties, you might be supportive of it if you 529 00:28:08,080 --> 00:28:09,959 Speaker 1: feel that, like that's what the men have to do 530 00:28:10,080 --> 00:28:12,840 Speaker 1: quote unquote to restore order and keep you and your 531 00:28:12,840 --> 00:28:15,359 Speaker 1: family safe. It's very savvy, and part of me kind 532 00:28:15,400 --> 00:28:19,120 Speaker 1: of is not surprised that it works on so many women, right. 533 00:28:19,680 --> 00:28:22,360 Speaker 1: It was interesting to see also, like the mothers with 534 00:28:22,400 --> 00:28:24,680 Speaker 1: their sons. We had at least two examples of those, 535 00:28:24,720 --> 00:28:28,080 Speaker 1: and I was like, which I know. There's been articles 536 00:28:28,080 --> 00:28:29,919 Speaker 1: about that as well, including the fact that one of 537 00:28:29,960 --> 00:28:33,080 Speaker 1: the young men who actually is from Georgia Blue Ridge, 538 00:28:33,240 --> 00:28:38,080 Speaker 1: near minor hometown, blamed his mother. In the testimony, he 539 00:28:38,200 --> 00:28:44,040 Speaker 1: actually blamed his mother would an as, I mean, this 540 00:28:44,160 --> 00:28:52,280 Speaker 1: was poor woman, and she was you know what I'm saying, like, 541 00:28:52,440 --> 00:28:54,040 Speaker 1: and that really does tell you all you need to know, 542 00:28:54,240 --> 00:28:57,240 Speaker 1: right that, you know, if you get caught storming the capital, 543 00:28:57,640 --> 00:29:00,040 Speaker 1: that like, oh my mom didn't raise me, right, that 544 00:29:00,040 --> 00:29:03,000 Speaker 1: that would be your first excuse. Honestly, this mom should 545 00:29:03,000 --> 00:29:04,960 Speaker 1: be like, wow, I really didn't do such a hot job. 546 00:29:06,320 --> 00:29:08,160 Speaker 1: I have to wonder what her response was, because all 547 00:29:08,160 --> 00:29:10,240 Speaker 1: I've read was his testimony in which he was like, yeah, 548 00:29:10,280 --> 00:29:11,960 Speaker 1: my mom told me to do this, My mom told 549 00:29:11,960 --> 00:29:13,480 Speaker 1: me to pick those up. My mom did this. And 550 00:29:13,520 --> 00:29:16,520 Speaker 1: it was quite funny because I was like, dude, you 551 00:29:17,200 --> 00:29:19,960 Speaker 1: come in here trying to be big masculine. I'm going 552 00:29:20,000 --> 00:29:22,760 Speaker 1: to kidnap these people and then be like, my mama 553 00:29:22,760 --> 00:29:26,880 Speaker 1: did it right? Throw on your own mother under the bus. 554 00:29:27,480 --> 00:29:29,120 Speaker 1: And it's funny that you say this because I have 555 00:29:29,320 --> 00:29:32,520 Speaker 1: noticed a lot of these people are being released to 556 00:29:32,640 --> 00:29:35,000 Speaker 1: their parents or in the care of a family members 557 00:29:35,000 --> 00:29:36,760 Speaker 1: and things of that nature. Your point is such a 558 00:29:36,800 --> 00:29:39,240 Speaker 1: good one, where it's like what happened to like, oh, 559 00:29:39,320 --> 00:29:41,719 Speaker 1: we're storming the capital and we're you know, big and 560 00:29:41,760 --> 00:29:43,880 Speaker 1: bad and blah blah blah. And now when you get caught, 561 00:29:43,960 --> 00:29:46,040 Speaker 1: you're like, oh, well, I gotta release me to my mom. 562 00:29:46,640 --> 00:29:48,320 Speaker 1: I was like, which is it. If you're gonna be 563 00:29:48,400 --> 00:29:50,200 Speaker 1: an insurrectionist, at least I do it with your shis. 564 00:29:50,480 --> 00:29:53,480 Speaker 1: But you know, well, And just coming back to because 565 00:29:53,520 --> 00:29:55,800 Speaker 1: I think this is just a simple question I do 566 00:29:55,920 --> 00:29:57,600 Speaker 1: and I don't understand it is how did the anti 567 00:29:57,640 --> 00:30:02,040 Speaker 1: abortion movement become the center of this riot? Almost I 568 00:30:02,080 --> 00:30:05,440 Speaker 1: think that there's so much overlap between the two that 569 00:30:05,800 --> 00:30:07,959 Speaker 1: I think a lot of these people saw Donald Trump 570 00:30:08,000 --> 00:30:10,040 Speaker 1: as the person who was going to, in their eyes, 571 00:30:10,440 --> 00:30:13,400 Speaker 1: restore the rights of children and the unborn right. And 572 00:30:13,440 --> 00:30:15,600 Speaker 1: so it's it's not even the question of like, how 573 00:30:15,640 --> 00:30:17,760 Speaker 1: did it become? I think it was always there. I 574 00:30:17,760 --> 00:30:20,200 Speaker 1: think so many of the people at the forefront of 575 00:30:20,680 --> 00:30:24,080 Speaker 1: the insurrection also did have this history with the anti 576 00:30:24,120 --> 00:30:27,080 Speaker 1: abortion movement. I think it's like the same way that 577 00:30:27,120 --> 00:30:32,680 Speaker 1: you cannot unpack their white supremacist leanings, their anti women leadings, 578 00:30:32,680 --> 00:30:35,400 Speaker 1: their anti immigrant leanings. I think it's all one big 579 00:30:35,440 --> 00:30:38,000 Speaker 1: ball of yarn that led us here. And the fact 580 00:30:38,040 --> 00:30:41,200 Speaker 1: of the matter is, you even saw anti abortion groups 581 00:30:41,960 --> 00:30:46,280 Speaker 1: spreading this complete lie that quote Antifa was responsible, even 582 00:30:46,280 --> 00:30:48,240 Speaker 1: though we know that's not true, and though we know 583 00:30:48,560 --> 00:30:51,240 Speaker 1: many of these people live streamed their crimes. You know, 584 00:30:51,320 --> 00:30:53,400 Speaker 1: Kristen Hawkins, who is the head of Students for Life 585 00:30:53,400 --> 00:30:56,600 Speaker 1: of America, which is the nation's biggest anti abortion student group, 586 00:30:56,880 --> 00:30:59,760 Speaker 1: she blamed ANTIFA members and other writers for storming the 587 00:30:59,800 --> 00:31:03,480 Speaker 1: cow at all. And so you already have the mainstream 588 00:31:03,760 --> 00:31:07,600 Speaker 1: anti abortion movement circling the wagons to protect the violent 589 00:31:07,680 --> 00:31:10,920 Speaker 1: actions of these people, some of whom are probably doing 590 00:31:10,960 --> 00:31:15,600 Speaker 1: this in support of their anti abortion ideology. Yeah, it's 591 00:31:15,640 --> 00:31:18,920 Speaker 1: so frustrating. I hate that when you're like, but this 592 00:31:19,160 --> 00:31:23,120 Speaker 1: video here, they can still be like no, no. So 593 00:31:23,280 --> 00:31:27,760 Speaker 1: we did see just so much racism and sexism on 594 00:31:27,840 --> 00:31:30,520 Speaker 1: display at this riot, and that there were a lot 595 00:31:30,560 --> 00:31:34,840 Speaker 1: of conversations afterwards, rightfully so comparing the police and like 596 00:31:35,200 --> 00:31:40,080 Speaker 1: public reaction to Black Lives Matter protest versus this riot. 597 00:31:40,640 --> 00:31:45,160 Speaker 1: And then also you have in in this handy outline, 598 00:31:45,160 --> 00:31:49,720 Speaker 1: you gave us the history between abortion clinic violence and 599 00:31:49,960 --> 00:31:53,600 Speaker 1: how that kind of overlaps with what happened. Absolutely so 600 00:31:53,720 --> 00:31:55,640 Speaker 1: one of the things I think is really interesting about 601 00:31:55,920 --> 00:31:58,520 Speaker 1: what some of these abortion activists and advocates are saying, 602 00:31:58,600 --> 00:32:01,520 Speaker 1: is that the same way that many of us, myself included, 603 00:32:01,560 --> 00:32:05,440 Speaker 1: were disgusted watching the police take selfies with the rioters 604 00:32:05,480 --> 00:32:08,720 Speaker 1: and shake their hands and just generally seem very buddy 605 00:32:08,720 --> 00:32:11,480 Speaker 1: buddy with the rioters. That is very similar to what 606 00:32:11,800 --> 00:32:15,560 Speaker 1: abortion advocates and clinic workers have reported when they try 607 00:32:15,600 --> 00:32:18,520 Speaker 1: to engage the police to report violence or threats happening 608 00:32:18,760 --> 00:32:20,840 Speaker 1: at their clinics. And so there's a little piece from 609 00:32:20,840 --> 00:32:24,120 Speaker 1: refinding between nine, she says. In August ninety four, Win 610 00:32:24,200 --> 00:32:27,800 Speaker 1: Indiana abortion clinic received a bomb threat. The city refused 611 00:32:27,800 --> 00:32:31,240 Speaker 1: to dispatch either police or fire officials, forcing clinic staff 612 00:32:31,280 --> 00:32:34,040 Speaker 1: to search for the bomb themselves. Nearly forty years later, 613 00:32:34,200 --> 00:32:36,920 Speaker 1: Becca Balinger, a clinic escort in New York City, called 614 00:32:36,920 --> 00:32:40,080 Speaker 1: it a complaint about protesters violating the fifteen foot buffer 615 00:32:40,200 --> 00:32:42,440 Speaker 1: zone at the clinic. When he arrived, she told her 616 00:32:42,440 --> 00:32:46,360 Speaker 1: Farwy nine, she watched the responding officer approached the violator, 617 00:32:46,600 --> 00:32:49,280 Speaker 1: shake his hand and give him a hug. He then 618 00:32:49,320 --> 00:32:51,920 Speaker 1: turned to the group of clinic escorts and said, what 619 00:32:51,960 --> 00:32:55,120 Speaker 1: are you doing to restrict their First Amendment rights? Today? 620 00:32:55,240 --> 00:32:57,920 Speaker 1: And I think that one it enraged me. It was like, fine, 621 00:32:58,000 --> 00:33:00,880 Speaker 1: this guy, but I do think it shows the level 622 00:33:00,920 --> 00:33:04,240 Speaker 1: to which the police can sort of not always be 623 00:33:04,320 --> 00:33:08,600 Speaker 1: counted on to be, you know, restoring public order. The 624 00:33:08,640 --> 00:33:11,200 Speaker 1: same way that we saw police be buddy buddy with 625 00:33:11,240 --> 00:33:14,080 Speaker 1: the rioters at the Capitol. Abortion rights activists have said 626 00:33:14,120 --> 00:33:16,160 Speaker 1: that this is not surprising. This is exactly how it 627 00:33:16,240 --> 00:33:18,520 Speaker 1: is when we have called to report threats or violence 628 00:33:18,600 --> 00:33:20,440 Speaker 1: at clinics. And the fact of the matter is the 629 00:33:20,440 --> 00:33:24,400 Speaker 1: Associated Press found that law enforcement agencies nationwide has said 630 00:33:24,400 --> 00:33:26,880 Speaker 1: that at least thirty one officers in twelve states are 631 00:33:26,880 --> 00:33:31,040 Speaker 1: being scrutinized by their supervisors for their behavior at the Capitol. Right. 632 00:33:31,040 --> 00:33:33,440 Speaker 1: And so we know that the same way that we 633 00:33:33,520 --> 00:33:36,600 Speaker 1: definitely have a problem with needing to root out people 634 00:33:36,680 --> 00:33:39,840 Speaker 1: that have white supremacist ties who are serving in police forces, 635 00:33:39,920 --> 00:33:41,760 Speaker 1: it is not a stretch to imagine that that is 636 00:33:41,800 --> 00:33:45,880 Speaker 1: also a problem when it comes to anti abortion ideology, 637 00:33:45,920 --> 00:33:50,640 Speaker 1: that police officers they might feel sympathetic to people who 638 00:33:50,640 --> 00:33:52,560 Speaker 1: would be threatening violence at a clinic. Right. And so 639 00:33:52,600 --> 00:33:55,280 Speaker 1: these abortion advocates have been saying, yes, we have been 640 00:33:55,280 --> 00:33:57,400 Speaker 1: reading the alarm about the fact that the police have 641 00:33:57,480 --> 00:34:00,800 Speaker 1: seemed to be buddy buddy with agitators at our clinics 642 00:34:00,880 --> 00:34:03,160 Speaker 1: for years. Again, it's just one of those things. It's 643 00:34:03,160 --> 00:34:05,720 Speaker 1: a tough conversation to have, but we do need to 644 00:34:05,720 --> 00:34:08,640 Speaker 1: talk about the ways that some of these darker forces 645 00:34:08,680 --> 00:34:11,160 Speaker 1: have infiltrated our police, the people who are meant to 646 00:34:11,200 --> 00:34:13,680 Speaker 1: be restoring order, you know. And so I do think 647 00:34:13,680 --> 00:34:16,719 Speaker 1: we have to have these kinds of tough conversations that 648 00:34:16,800 --> 00:34:20,640 Speaker 1: put these things at the forefront. Yeah, and there's such 649 00:34:20,680 --> 00:34:22,879 Speaker 1: a like we've been talking about with this like ball 650 00:34:22,960 --> 00:34:25,520 Speaker 1: of yarn or these vinn diagrams and all this overlap 651 00:34:26,040 --> 00:34:30,200 Speaker 1: because if you do look at the history of abortion 652 00:34:30,280 --> 00:34:34,280 Speaker 1: clinics like this is this violence and threatening of violence 653 00:34:34,760 --> 00:34:38,840 Speaker 1: has been there for a long time, like since the beginning, right, Yeah. 654 00:34:38,920 --> 00:34:41,120 Speaker 1: I mean, anybody who has worked in the abortion or 655 00:34:41,160 --> 00:34:43,560 Speaker 1: reproductive rights space can tell you this is not a 656 00:34:43,560 --> 00:34:45,880 Speaker 1: new problem. And I just think we really have to 657 00:34:45,880 --> 00:34:49,399 Speaker 1: grapple with the fact that so many people who work 658 00:34:49,400 --> 00:34:53,200 Speaker 1: in these spaces have been warning that the unchecked spread 659 00:34:53,440 --> 00:34:57,160 Speaker 1: of distortions and lies on social media about abortion and 660 00:34:57,160 --> 00:35:00,640 Speaker 1: about clinics and about abortion providers will lead to real 661 00:35:00,640 --> 00:35:03,360 Speaker 1: world violence. And so I just think it's important to 662 00:35:03,400 --> 00:35:06,440 Speaker 1: note how much overlap there was with the violence at 663 00:35:06,480 --> 00:35:09,640 Speaker 1: the capital and the kind of violence that these abortion 664 00:35:09,680 --> 00:35:14,759 Speaker 1: advocates have been warning of for years. Yeah, it's so much. 665 00:35:14,800 --> 00:35:17,640 Speaker 1: It's so much too untangle as we continue to have 666 00:35:17,719 --> 00:35:23,719 Speaker 1: these conversations, and certainly disinformation is a huge part of it. 667 00:35:23,800 --> 00:35:26,400 Speaker 1: Is there anything you want to shout out, any resources 668 00:35:26,440 --> 00:35:28,439 Speaker 1: you want to shout out, or I guess what people 669 00:35:28,480 --> 00:35:30,880 Speaker 1: can be looking for. Yeah, I'm sure I've said this 670 00:35:30,920 --> 00:35:32,480 Speaker 1: on the show before, but the number one thing we 671 00:35:32,520 --> 00:35:36,239 Speaker 1: can all do to curb disinformation is not amplify it, 672 00:35:36,400 --> 00:35:38,160 Speaker 1: even if you're trying to dunk on it, even if 673 00:35:38,160 --> 00:35:40,239 Speaker 1: you've got a great joke. Sometimes it can be hard 674 00:35:40,239 --> 00:35:43,319 Speaker 1: to resist. I know it, But don't amplify it. If 675 00:35:43,360 --> 00:35:46,920 Speaker 1: you focus instead on kind of creating your own little 676 00:35:46,960 --> 00:35:50,160 Speaker 1: pocket of the Internet that can be known for trustworthy information, 677 00:35:50,200 --> 00:35:51,759 Speaker 1: that it's such a better way to spend your time. 678 00:35:52,120 --> 00:35:54,000 Speaker 1: I think that we all have to really understand the 679 00:35:54,040 --> 00:35:57,360 Speaker 1: way that like this is not just something that's happening online. 680 00:35:57,440 --> 00:35:59,200 Speaker 1: You know, I referenced this great more in rank in 681 00:35:59,200 --> 00:36:01,920 Speaker 1: piece that or findye on folction all read that. But 682 00:36:02,680 --> 00:36:05,919 Speaker 1: she points out that conspiracy theories and outlandish rhetoric aren't 683 00:36:05,920 --> 00:36:09,480 Speaker 1: without consequences, particularly when encouraged by those in power and 684 00:36:10,360 --> 00:36:14,000 Speaker 1: anti abortion extremists launched a highly visible smear campaign against 685 00:36:14,000 --> 00:36:17,440 Speaker 1: Planned Parenthood, featuring doctored videos that accused the organization of 686 00:36:17,480 --> 00:36:21,080 Speaker 1: illegally selling fetal body parts. It was absertain, completely untrue, 687 00:36:21,320 --> 00:36:24,360 Speaker 1: but that didn't stop congressional Republicans from embracing the conspiracy 688 00:36:24,400 --> 00:36:27,680 Speaker 1: theory to crying Planned Parenthood and opening an investigation into 689 00:36:27,680 --> 00:36:31,360 Speaker 1: the organization. Just a few months later, Robert Dear opened 690 00:36:31,400 --> 00:36:34,720 Speaker 1: fire on a Planned Plarenthood clinic in Colorado Springs, killing 691 00:36:34,760 --> 00:36:37,880 Speaker 1: three people, including a security guard. He confessed that he 692 00:36:37,960 --> 00:36:41,360 Speaker 1: was quote upset with them performing abortions and selling baby parts, 693 00:36:41,600 --> 00:36:45,200 Speaker 1: a direct reference to the cooked up anti abortion smear campaign, 694 00:36:45,520 --> 00:36:48,439 Speaker 1: a conspiracy theory that certainly has echoes, and other far 695 00:36:48,520 --> 00:36:53,279 Speaker 1: right conspiracies like Q and on and so again, these 696 00:36:53,320 --> 00:36:55,799 Speaker 1: are not just things people are saying online. They can 697 00:36:55,840 --> 00:36:59,760 Speaker 1: have real world consequences, just like the continued repeated lie 698 00:36:59,840 --> 00:37:01,960 Speaker 1: that Trump won the election and that it was being 699 00:37:01,960 --> 00:37:05,000 Speaker 1: stolen lad to violence at the Capitol. The more that 700 00:37:05,040 --> 00:37:08,719 Speaker 1: we tolerate just unchecked conspiracy theories and allow them to 701 00:37:08,800 --> 00:37:13,640 Speaker 1: seep into our mainstream institutions like our Congress and our government, 702 00:37:13,920 --> 00:37:17,000 Speaker 1: the higher the risk for real world danger and real 703 00:37:17,040 --> 00:37:19,279 Speaker 1: world violence. And so do not think this is just 704 00:37:19,320 --> 00:37:21,359 Speaker 1: happening online. This is a real thing that has real 705 00:37:21,400 --> 00:37:24,399 Speaker 1: consequences for all of us. So with that, because as 706 00:37:24,480 --> 00:37:27,080 Speaker 1: we talked about, they were already putting in laws that 707 00:37:27,120 --> 00:37:29,800 Speaker 1: don't makes us, that are just political games in order 708 00:37:29,840 --> 00:37:34,040 Speaker 1: to continue this rhetoric of lies for anti abortion reasons. 709 00:37:34,200 --> 00:37:37,280 Speaker 1: As well as the fact that even though Trump is gone, 710 00:37:37,560 --> 00:37:40,040 Speaker 1: there still the lie of voter suppression is very well 711 00:37:40,080 --> 00:37:41,640 Speaker 1: in play. As in fact, you know, in the state 712 00:37:41,640 --> 00:37:42,960 Speaker 1: of Georgia, and I think I saw it in the 713 00:37:42,960 --> 00:37:46,279 Speaker 1: state of North Carolina, they're already vamping up new ways 714 00:37:46,320 --> 00:37:49,719 Speaker 1: to suppress votes. We've got a Republican state lawmakers here 715 00:37:49,920 --> 00:37:52,880 Speaker 1: in Georgia doing new laws to try to take away 716 00:37:53,080 --> 00:37:56,719 Speaker 1: from absentee voting, shutting down all the polls. So all 717 00:37:56,719 --> 00:37:59,160 Speaker 1: of this disinformation, Like even though it's kind of like, okay, 718 00:37:59,200 --> 00:38:01,720 Speaker 1: we can kind of push it side because Biden's finally 719 00:38:01,760 --> 00:38:05,080 Speaker 1: in office, this anti abortion rhetoric is not gone. Just 720 00:38:05,160 --> 00:38:08,160 Speaker 1: because we have an actual pro abortion choice people in 721 00:38:08,320 --> 00:38:11,160 Speaker 1: office doesn't mean this fight it's not over. What can 722 00:38:11,200 --> 00:38:13,160 Speaker 1: we do as a listeners, What can we do as 723 00:38:13,200 --> 00:38:16,000 Speaker 1: the people behind here as we see, it's not just online. 724 00:38:16,239 --> 00:38:18,400 Speaker 1: What can we do in real life to help a 725 00:38:18,520 --> 00:38:21,239 Speaker 1: stunt of the spread, but be also be an advocate. 726 00:38:21,640 --> 00:38:24,440 Speaker 1: I think the fact that I forget the numbers, but 727 00:38:25,320 --> 00:38:28,919 Speaker 1: there are a lot of Republicans lawmakers right now who 728 00:38:28,960 --> 00:38:32,360 Speaker 1: to this day will not say that the election was 729 00:38:32,400 --> 00:38:35,040 Speaker 1: not stolen. You know, we have kind of like the 730 00:38:35,120 --> 00:38:39,200 Speaker 1: idea of quote legal votes has made it into our lexicon. 731 00:38:39,360 --> 00:38:43,400 Speaker 1: As if there is a widespread, documented pattern of voting 732 00:38:43,400 --> 00:38:46,760 Speaker 1: irregularities in this country. There just is not. There are 733 00:38:46,800 --> 00:38:49,640 Speaker 1: in every election, you have people where it's like, oh, 734 00:38:49,680 --> 00:38:51,680 Speaker 1: I was voting for my son who's at college, or 735 00:38:51,680 --> 00:38:55,160 Speaker 1: this or that. There's always a smattering of sketchiness here 736 00:38:55,239 --> 00:38:58,520 Speaker 1: or there, but there is not any kind of documented, 737 00:38:58,640 --> 00:39:02,239 Speaker 1: widespread voting a regular larities in this election or in 738 00:39:02,280 --> 00:39:04,839 Speaker 1: any of our last recent elections. Right And so the 739 00:39:04,880 --> 00:39:07,000 Speaker 1: fact that things like oh, well, I think we should 740 00:39:07,040 --> 00:39:11,040 Speaker 1: count legal votes has become part of our lexicon and 741 00:39:11,239 --> 00:39:13,840 Speaker 1: has been sort of seen to be kind of a 742 00:39:13,920 --> 00:39:17,480 Speaker 1: moderate thing. I think has done such a great disservice 743 00:39:17,560 --> 00:39:20,240 Speaker 1: to our democracy. I don't think we will know how 744 00:39:20,360 --> 00:39:22,960 Speaker 1: bad it is for many years, you know, I think 745 00:39:22,960 --> 00:39:27,120 Speaker 1: it planted a seed in a lot of people that 746 00:39:27,160 --> 00:39:30,359 Speaker 1: maybe we'll never go away. And honestly, I think one 747 00:39:30,360 --> 00:39:32,640 Speaker 1: thing that we can all do is just being willing 748 00:39:32,719 --> 00:39:36,319 Speaker 1: to push back on the echoes of these fabrications. So 749 00:39:36,360 --> 00:39:37,759 Speaker 1: whether you know, if someone says, well, I think we 750 00:39:37,760 --> 00:39:40,880 Speaker 1: should count every legal vote, being willing to say, like, well, 751 00:39:40,920 --> 00:39:42,120 Speaker 1: you know, what do you mean by that? You know, 752 00:39:42,160 --> 00:39:43,920 Speaker 1: tell me do you think there's a lot of illegal 753 00:39:44,000 --> 00:39:45,480 Speaker 1: votes out there? Like? What do they look like? How 754 00:39:45,520 --> 00:39:48,880 Speaker 1: often are they happening? I think being willing to interrogate 755 00:39:49,480 --> 00:39:52,799 Speaker 1: these claims so that they cannot become part of our 756 00:39:52,880 --> 00:39:55,880 Speaker 1: fabric of understanding the world because they're based on lies. 757 00:39:55,960 --> 00:39:57,879 Speaker 1: The same way that when people say, like, oh, did 758 00:39:57,880 --> 00:40:00,640 Speaker 1: you know that Joe Biden supports a board shin up 759 00:40:00,719 --> 00:40:04,240 Speaker 1: until five minutes before delivery, and saying that's not true, 760 00:40:04,280 --> 00:40:06,080 Speaker 1: that it is incorrect. If someone was trying to do 761 00:40:06,120 --> 00:40:08,640 Speaker 1: a rebortion five minutes before you were meant to be 762 00:40:08,719 --> 00:40:11,360 Speaker 1: in labor, that will be a crime. That's not happening, 763 00:40:11,480 --> 00:40:16,120 Speaker 1: and that's incorrect. This being willing to push back on 764 00:40:16,600 --> 00:40:19,840 Speaker 1: these ideas that are based on nothing in ways that 765 00:40:19,880 --> 00:40:22,319 Speaker 1: are going to actually prevent them from becoming part of 766 00:40:22,360 --> 00:40:24,439 Speaker 1: the fabric of how we understand the world because they're 767 00:40:24,480 --> 00:40:26,680 Speaker 1: based on lies. I know that it's a tall order, 768 00:40:26,880 --> 00:40:29,440 Speaker 1: but we have enough in this world to contend with. 769 00:40:29,719 --> 00:40:34,080 Speaker 1: We don't need more, right, That's what I'm having more. 770 00:40:34,239 --> 00:40:49,920 Speaker 1: That's fair. You know, I just have to see you 771 00:40:49,960 --> 00:40:51,920 Speaker 1: one last thing, because you have been in it, and 772 00:40:51,960 --> 00:40:55,040 Speaker 1: you have been in it, whether physically because you're in 773 00:40:55,160 --> 00:40:57,439 Speaker 1: d C or because you're part of things like Ultra 774 00:40:57,520 --> 00:41:00,200 Speaker 1: Violet and and talking about this information. What I you've 775 00:41:00,200 --> 00:41:04,040 Speaker 1: been doing for yourself for self care? Because we haven't 776 00:41:04,080 --> 00:41:05,680 Speaker 1: asked this question a long time, but that's been a 777 00:41:05,680 --> 00:41:08,359 Speaker 1: part of our So what is your self care? Oh 778 00:41:08,400 --> 00:41:10,560 Speaker 1: my god, I'm so excited to talk about this. It's funny. 779 00:41:10,600 --> 00:41:14,919 Speaker 1: I mean, it was my mantra the last few because 780 00:41:14,960 --> 00:41:16,560 Speaker 1: just like I gotta get to inauguration, I gotta get 781 00:41:16,560 --> 00:41:18,799 Speaker 1: to inauguration, I gotta get to an I had not 782 00:41:18,840 --> 00:41:20,840 Speaker 1: been doing a great job of taking care of myself 783 00:41:20,840 --> 00:41:23,320 Speaker 1: because there was so much after the insurrection on the 784 00:41:23,400 --> 00:41:26,200 Speaker 1: six I think that everybody in my little community here 785 00:41:26,200 --> 00:41:28,520 Speaker 1: in d C was just we had just had enough. 786 00:41:29,200 --> 00:41:31,080 Speaker 1: We had just had it. But you know, one of 787 00:41:31,120 --> 00:41:34,120 Speaker 1: the things that I do to really keep myself grounded 788 00:41:34,239 --> 00:41:37,399 Speaker 1: and restore myself. This really is being outside. And so 789 00:41:37,680 --> 00:41:39,640 Speaker 1: this weekend I went on a lovely hike in George 790 00:41:39,640 --> 00:41:42,239 Speaker 1: Washington National Forest and it was very restorative, even though 791 00:41:42,239 --> 00:41:45,600 Speaker 1: it was cold as balls. So just trying to spend 792 00:41:45,640 --> 00:41:50,560 Speaker 1: time outside, trying to remember that I can only I 793 00:41:50,560 --> 00:41:53,799 Speaker 1: can only consume so much. I can only do so much. 794 00:41:53,840 --> 00:41:57,600 Speaker 1: You know, if I read every new take from what 795 00:41:57,719 --> 00:42:00,319 Speaker 1: happened in the insurrection or every new horrible thing that's 796 00:42:00,320 --> 00:42:03,120 Speaker 1: going on, I won't necessarily be any better informed or 797 00:42:03,120 --> 00:42:05,880 Speaker 1: be any better poise to make a difference. And something 798 00:42:05,880 --> 00:42:07,359 Speaker 1: I can really do to make sure that I'm better 799 00:42:07,400 --> 00:42:09,960 Speaker 1: poised to make a difference is like sleep, take care 800 00:42:09,960 --> 00:42:12,880 Speaker 1: of myself, take breaks, And I encourage everybody to do that. 801 00:42:12,920 --> 00:42:17,000 Speaker 1: You know, it can be enticing to want to refresh 802 00:42:17,040 --> 00:42:19,440 Speaker 1: Twitter a million times a day and get every new 803 00:42:19,760 --> 00:42:22,520 Speaker 1: update of every new detail of every new story, but 804 00:42:23,280 --> 00:42:26,680 Speaker 1: that does not necessarily translate to you being better informed 805 00:42:26,800 --> 00:42:29,560 Speaker 1: or a better ally or a better fighter in this movement. 806 00:42:29,600 --> 00:42:32,719 Speaker 1: So I appreciate you guys making the space to talk 807 00:42:32,760 --> 00:42:35,120 Speaker 1: about that, because I think it does get erased in 808 00:42:35,320 --> 00:42:37,920 Speaker 1: the movement that like taking care of yourself is very important. 809 00:42:38,520 --> 00:42:44,320 Speaker 1: Encourage everybody too. It's important. What are you doing and 810 00:42:44,520 --> 00:42:49,520 Speaker 1: writing fan fiction? And I got a walking treadmill desk, 811 00:42:50,000 --> 00:42:52,560 Speaker 1: like a really cheap one, really cheap. I don't want 812 00:42:52,560 --> 00:42:55,480 Speaker 1: anyone to be like, wow, no, it's very cheap and small, 813 00:42:55,480 --> 00:42:59,239 Speaker 1: but it's I like it is it under your desk 814 00:42:59,360 --> 00:43:02,799 Speaker 1: right now? No, this is my podcast desk, it's under 815 00:43:02,800 --> 00:43:07,000 Speaker 1: my researches. I used two separate spaces. It sounds like 816 00:43:07,040 --> 00:43:13,120 Speaker 1: you're so rich, Cola, and even if it is a 817 00:43:13,200 --> 00:43:20,560 Speaker 1: small Okay, well I was trying to help you out there. Yes, 818 00:43:21,200 --> 00:43:25,919 Speaker 1: that's what I'm doing. Yeah, I honestly I don't know. Look, 819 00:43:26,120 --> 00:43:27,919 Speaker 1: and that's not because I'm not doing things. It's mainly 820 00:43:27,960 --> 00:43:31,560 Speaker 1: because I am so just organized with my time, because 821 00:43:31,600 --> 00:43:34,360 Speaker 1: I am at the worst of keeping things separate. So 822 00:43:34,400 --> 00:43:36,600 Speaker 1: I'll work all the time and then just sit all 823 00:43:36,600 --> 00:43:38,959 Speaker 1: the time too, So it's like one or the other. 824 00:43:39,480 --> 00:43:41,560 Speaker 1: But for me, a lot of like I am a 825 00:43:41,560 --> 00:43:44,200 Speaker 1: comfort person, so I'll rewatch things that I love and 826 00:43:44,320 --> 00:43:46,640 Speaker 1: know how it's going to turn out, and then bask 827 00:43:46,760 --> 00:43:48,759 Speaker 1: in that and then also a lot of cuddle times 828 00:43:48,800 --> 00:43:51,520 Speaker 1: with my dog. Why does it feel so good to 829 00:43:51,600 --> 00:43:54,000 Speaker 1: like rewatch The Office for the hundred times, like, like, 830 00:43:54,120 --> 00:43:56,320 Speaker 1: what is it about it that's so comforting? It feels 831 00:43:56,360 --> 00:43:59,239 Speaker 1: like friends, And because you know coming you're not gonna 832 00:43:59,280 --> 00:44:01,360 Speaker 1: be shocked or just a pointed or if you're going 833 00:44:01,400 --> 00:44:03,520 Speaker 1: to be disappointed, you already know it's going to be disappointing, 834 00:44:03,640 --> 00:44:06,640 Speaker 1: and sometimes you can fast forward through that. Yeah, what's 835 00:44:06,640 --> 00:44:09,680 Speaker 1: your comfort show? Oh? I have a few? Supernatural has 836 00:44:09,680 --> 00:44:12,879 Speaker 1: become one, thank you Annie, and I don't know why, 837 00:44:12,880 --> 00:44:15,240 Speaker 1: but it has become one. But also a new Girl, 838 00:44:15,640 --> 00:44:18,799 Speaker 1: Parks and rec have become a few of them. I 839 00:44:18,840 --> 00:44:21,239 Speaker 1: watched some weird things like The Flash. I really loved 840 00:44:21,280 --> 00:44:23,880 Speaker 1: that show, and I just love how genuinely sweet it is. 841 00:44:24,080 --> 00:44:26,239 Speaker 1: So I watched really silly things like that, and then 842 00:44:26,280 --> 00:44:29,319 Speaker 1: I'll rewatch movies. You know, Body's business. I love this. 843 00:44:29,400 --> 00:44:33,480 Speaker 1: It's like a prescription for self care and comfort. Yeah, 844 00:44:33,800 --> 00:44:36,240 Speaker 1: and also I just wear soft pants. That's my mother comfort, 845 00:44:36,640 --> 00:44:40,080 Speaker 1: soft pants, dog cuddles and the television shows you've seen 846 00:44:40,080 --> 00:44:45,400 Speaker 1: a million times before us sounds great, Well, Bridget what 847 00:44:45,480 --> 00:44:48,200 Speaker 1: else do you think if we left anything out or 848 00:44:48,239 --> 00:44:50,600 Speaker 1: if there's more that you resources that you want to provide? 849 00:44:50,680 --> 00:44:52,440 Speaker 1: Is there anything else you want to add, well, I 850 00:44:52,440 --> 00:44:55,640 Speaker 1: would say, if you want to have more conversations about 851 00:44:55,719 --> 00:44:58,640 Speaker 1: disinformation and how it pertains to women and folks of color, 852 00:44:58,920 --> 00:45:01,080 Speaker 1: my podcast There Are No Us on the Internet just 853 00:45:01,200 --> 00:45:05,040 Speaker 1: released a brand new series all about disinformation called Disinformed. 854 00:45:05,080 --> 00:45:07,040 Speaker 1: You can check it out on this very network I 855 00:45:07,120 --> 00:45:10,680 Speaker 1: heart Radio. Awesome. Yeah, and definitely do that listeners. Bridget, 856 00:45:10,760 --> 00:45:12,920 Speaker 1: you want to shout out any any other places that 857 00:45:13,120 --> 00:45:15,280 Speaker 1: the good listeners can find you? Yes, I'm on Twitter 858 00:45:15,360 --> 00:45:17,840 Speaker 1: at Bridget Murray and I'm on Instagram at Bridget Murray 859 00:45:17,880 --> 00:45:22,000 Speaker 1: in d C. Well, thank you as always for being here. 860 00:45:22,239 --> 00:45:24,560 Speaker 1: You managed to make you a delight even though we're 861 00:45:24,560 --> 00:45:29,640 Speaker 1: talking about things that are not so delightful. It's a skill. 862 00:45:30,480 --> 00:45:32,279 Speaker 1: Thank you. I hope so you know you can. There's 863 00:45:32,280 --> 00:45:34,839 Speaker 1: always room for humor, even if it's gallows humor. There's 864 00:45:34,840 --> 00:45:38,120 Speaker 1: always room for humors. Yes, yes, and we very much 865 00:45:38,160 --> 00:45:42,239 Speaker 1: appreciate it. Can't wait till you're back again. Listeners. If 866 00:45:42,239 --> 00:45:44,080 Speaker 1: you would like to email as you can or email 867 00:45:44,080 --> 00:45:46,279 Speaker 1: The Stuff Media Mom Stuff at iHeart media dot com. 868 00:45:46,320 --> 00:45:48,000 Speaker 1: You can find us on Instagram at Stuff I've Never 869 00:45:48,040 --> 00:45:50,239 Speaker 1: Told You are on Twitter at mom Stuff Podcast. Thanks 870 00:45:50,239 --> 00:45:55,400 Speaker 1: as always too, I'm super producer Christina. Heyy Christina, and 871 00:45:55,400 --> 00:45:57,600 Speaker 1: thanks to you for listening. Stufinitely never told you the 872 00:45:57,640 --> 00:45:59,680 Speaker 1: protection of I Heart Radio. For more podcast from I 873 00:45:59,719 --> 00:46:02,200 Speaker 1: Heart Radio, visit That I Heard You app, Apple Podcast, 874 00:46:02,280 --> 00:46:14,680 Speaker 1: or wherever you listen to your favorite shows. H