1 00:00:05,240 --> 00:00:07,720 Speaker 1: Hey, this is Annie and Samantha. I don't good of stuff. 2 00:00:07,720 --> 00:00:18,639 Speaker 1: I've never told your production of I Heart Radio. I 3 00:00:18,640 --> 00:00:20,680 Speaker 1: think we talked about this, Samantha. I know we've talked 4 00:00:20,680 --> 00:00:23,000 Speaker 1: about it personally. I can't remember if we talked about 5 00:00:23,000 --> 00:00:27,560 Speaker 1: it on the show. Are you afraid of needles? I am? 6 00:00:27,600 --> 00:00:31,479 Speaker 1: Indeed I am. When I actually got my vaccine, the 7 00:00:31,560 --> 00:00:34,440 Speaker 1: woman when the first woman I talked to, was like, 8 00:00:34,560 --> 00:00:37,199 Speaker 1: just look the other way, it'll be okay. And the 9 00:00:37,240 --> 00:00:40,000 Speaker 1: second woman when I talked to when I looked up, 10 00:00:40,120 --> 00:00:42,800 Speaker 1: just started laughing and jabbed me a little quick. But 11 00:00:42,960 --> 00:00:45,280 Speaker 1: when I was younger, I would get shots when I 12 00:00:45,320 --> 00:00:47,880 Speaker 1: was sick, and I hated shot so much. I remember 13 00:00:47,880 --> 00:00:50,440 Speaker 1: at one point I jumped so hard when she poached me, 14 00:00:50,520 --> 00:00:52,800 Speaker 1: I almost broke off the needle and the woman almost 15 00:00:52,800 --> 00:00:55,279 Speaker 1: had and the nurse almost had a heart attack, so 16 00:00:55,600 --> 00:00:57,760 Speaker 1: like she said, She's like, oh my god, and just 17 00:00:57,800 --> 00:01:00,120 Speaker 1: so we both just sat there and my mom was 18 00:01:00,200 --> 00:01:04,200 Speaker 1: like what because that was my reaction and I didn't 19 00:01:04,240 --> 00:01:07,280 Speaker 1: mean to. Obviously she was like she kind of she 20 00:01:07,319 --> 00:01:09,800 Speaker 1: didn't yell at me, but she told me very sternly, 21 00:01:09,840 --> 00:01:11,920 Speaker 1: you almost broke the needle. That was going to be 22 00:01:11,959 --> 00:01:15,160 Speaker 1: a whole different thing, and I was like, wow, sorry, 23 00:01:16,520 --> 00:01:19,800 Speaker 1: I'm not a fan of needles. Yeah, I'm not either. 24 00:01:20,000 --> 00:01:24,360 Speaker 1: I find when I was young I hated them, and 25 00:01:24,680 --> 00:01:26,880 Speaker 1: I remember once the nurse was like, just think of 26 00:01:26,959 --> 00:01:29,080 Speaker 1: Disney World, and I was like, my parents would never 27 00:01:29,200 --> 00:01:32,280 Speaker 1: take me Disney World, and at all off at what 28 00:01:32,440 --> 00:01:35,400 Speaker 1: to say. And then I used to cry when my 29 00:01:35,480 --> 00:01:37,559 Speaker 1: little brother would give them because I would feel so 30 00:01:38,640 --> 00:01:42,920 Speaker 1: empathetic for him. And now I still don't like them, 31 00:01:43,319 --> 00:01:45,440 Speaker 1: but I think it's more like I just don't look. 32 00:01:45,880 --> 00:01:48,000 Speaker 1: It's over so quickly and almost never hurts when you're 33 00:01:48,040 --> 00:01:50,440 Speaker 1: getting it. When I'm getting it, I'll safe for myself 34 00:01:50,920 --> 00:01:54,120 Speaker 1: later it might stick, but but I still am like 35 00:01:54,240 --> 00:01:57,520 Speaker 1: waiting and tacking my foot anxiously, like this over with. 36 00:01:58,840 --> 00:02:00,240 Speaker 1: I mean, at this point, I think it is the 37 00:02:00,280 --> 00:02:04,960 Speaker 1: anticipation than anything else, for sure. But I've definitely had 38 00:02:05,000 --> 00:02:08,120 Speaker 1: them when they different drugs within it does get that 39 00:02:08,360 --> 00:02:11,840 Speaker 1: cold and it has a little more than I anticipated. 40 00:02:12,720 --> 00:02:15,760 Speaker 1: Also had a spinal tab when I was eighteen, and 41 00:02:15,800 --> 00:02:19,520 Speaker 1: those leadles are huge and I had a really adverse 42 00:02:19,600 --> 00:02:24,640 Speaker 1: reaction to it. So yeah, all these bad memories, all 43 00:02:24,680 --> 00:02:28,760 Speaker 1: these bad memories that we're very pro vaccine. We are 44 00:02:29,240 --> 00:02:33,760 Speaker 1: no matter what do it? Yeah, I it really really 45 00:02:33,760 --> 00:02:35,320 Speaker 1: I agree with you Smith. I feel like it's become 46 00:02:35,320 --> 00:02:37,720 Speaker 1: more about the anticipation and remembering how much they scared 47 00:02:37,760 --> 00:02:40,079 Speaker 1: me when I was a kid at this point, UM, 48 00:02:40,080 --> 00:02:42,400 Speaker 1: and it does feel kind of silly because I'm an 49 00:02:42,440 --> 00:02:44,440 Speaker 1: adult and I'm like nervous and this nurse is having 50 00:02:44,480 --> 00:02:47,480 Speaker 1: to talk me down almost right, But we did want 51 00:02:47,480 --> 00:02:50,200 Speaker 1: to talk about women anti vaccine today, and we're just 52 00:02:50,200 --> 00:02:51,640 Speaker 1: going put a date on this. I will say we 53 00:02:51,680 --> 00:02:53,600 Speaker 1: did the research for this one a couple of weeks ago, 54 00:02:53,680 --> 00:02:56,800 Speaker 1: and stuff has already changed, but today's date is obvious 55 00:02:56,840 --> 00:03:00,160 Speaker 1: twenty four one. And here in the US, we are 56 00:03:00,160 --> 00:03:03,519 Speaker 1: seeing a terrifying surge of the delta variant of COVID 57 00:03:03,639 --> 00:03:09,080 Speaker 1: nineteen and school is going back in session UM, and 58 00:03:09,120 --> 00:03:11,800 Speaker 1: so we're seeing a lot of fights over mask mandates 59 00:03:11,800 --> 00:03:16,840 Speaker 1: as kids return. And it got me wondering about anti vaccers, 60 00:03:16,840 --> 00:03:19,600 Speaker 1: in particularly women anti vactors, because also there's been a 61 00:03:19,639 --> 00:03:23,200 Speaker 1: lot of viral clips about UM kind of these open 62 00:03:23,280 --> 00:03:27,080 Speaker 1: hearings the public where people most of it that goes 63 00:03:27,160 --> 00:03:32,280 Speaker 1: viral are anti vactors saying things that are are very 64 00:03:32,320 --> 00:03:35,200 Speaker 1: over the top and getting very angry and like yelling 65 00:03:35,200 --> 00:03:37,560 Speaker 1: and shouting and all this stuff. And a few listeners 66 00:03:37,920 --> 00:03:41,360 Speaker 1: you have written in about growing up with moms specifically 67 00:03:41,760 --> 00:03:45,240 Speaker 1: who were anti vactors and how you felt that it 68 00:03:45,320 --> 00:03:47,560 Speaker 1: puts you at risk, or how you had to give 69 00:03:47,640 --> 00:03:50,119 Speaker 1: vaccines in secret, or having arguments that end in both 70 00:03:50,120 --> 00:03:52,440 Speaker 1: parties furious with each other. So it's just something we 71 00:03:52,480 --> 00:03:55,320 Speaker 1: wanted to look into. This could really be a much 72 00:03:55,320 --> 00:03:58,480 Speaker 1: bigger episode, but like kind of base level what are 73 00:03:58,480 --> 00:04:01,160 Speaker 1: we talking about here, right? And for the most part, 74 00:04:01,160 --> 00:04:04,000 Speaker 1: I've seen when it comes to like public arguments, especially 75 00:04:04,040 --> 00:04:06,720 Speaker 1: like celebrities, it has been women more so than men. 76 00:04:07,000 --> 00:04:09,520 Speaker 1: Even the husbands who are famous typically don't have an 77 00:04:09,520 --> 00:04:12,400 Speaker 1: opinion from what we gather. And I will tell this 78 00:04:12,440 --> 00:04:15,600 Speaker 1: one story. I got a story. So my partner is 79 00:04:15,680 --> 00:04:19,359 Speaker 1: really into three D printing and he loves trying to 80 00:04:19,360 --> 00:04:21,640 Speaker 1: do some new things, and he saw a thing where 81 00:04:22,160 --> 00:04:25,760 Speaker 1: from the the fifth element they have the multi pass right, 82 00:04:26,360 --> 00:04:28,279 Speaker 1: and he was like, oh my god, we can make 83 00:04:28,480 --> 00:04:31,360 Speaker 1: multi pass thwee D prints and have the vaccine cards 84 00:04:31,440 --> 00:04:34,080 Speaker 1: into it so you can protect it with the multi pass. 85 00:04:34,480 --> 00:04:37,039 Speaker 1: I'm really excited offered to make it for other people. 86 00:04:37,200 --> 00:04:40,360 Speaker 1: I think he gave you one against your will as 87 00:04:40,440 --> 00:04:43,240 Speaker 1: well as gave a friend one because you know, it 88 00:04:43,320 --> 00:04:46,680 Speaker 1: was really exciting while he was showing them up on 89 00:04:46,880 --> 00:04:49,560 Speaker 1: his size and just letting people know he was doing it. 90 00:04:49,920 --> 00:04:53,719 Speaker 1: And then at one point he got a random Instagram 91 00:04:53,760 --> 00:04:57,360 Speaker 1: message saying, hey, my daughter told me you're a photographer. 92 00:04:58,240 --> 00:05:00,800 Speaker 1: It was actually his text that you're a photographer and 93 00:05:00,839 --> 00:05:02,480 Speaker 1: you do some great work. Would love to see if 94 00:05:02,480 --> 00:05:04,320 Speaker 1: I can get something set up with you, and he 95 00:05:04,400 --> 00:05:06,120 Speaker 1: was like cool, cool, cool, Yeah, what are you who? 96 00:05:06,200 --> 00:05:07,760 Speaker 1: I don't know? First of all, who is this because 97 00:05:07,760 --> 00:05:09,840 Speaker 1: it was a number he didn't know. Do you mind 98 00:05:09,839 --> 00:05:12,279 Speaker 1: telling me who? Ferred you? Would definitely work with you? 99 00:05:12,320 --> 00:05:14,960 Speaker 1: What were you're thinking? What were you asking for? And 100 00:05:15,000 --> 00:05:18,040 Speaker 1: then she's like, well, can I just talk to you 101 00:05:18,120 --> 00:05:20,440 Speaker 1: on the phone And he was like what And he 102 00:05:20,560 --> 00:05:23,080 Speaker 1: was like okay, cool, And we're both very suspicious and 103 00:05:23,200 --> 00:05:25,800 Speaker 1: trying to figure out who's contacting him because he's not huge. 104 00:05:26,520 --> 00:05:28,560 Speaker 1: He's got a few followings and he does great photography, 105 00:05:28,600 --> 00:05:32,040 Speaker 1: but like you know, he's not famous. So he ends 106 00:05:32,120 --> 00:05:34,680 Speaker 1: up calling this woman. It turns out that she thought, 107 00:05:34,839 --> 00:05:37,880 Speaker 1: because of the multi pass that he was selling fake 108 00:05:38,080 --> 00:05:42,920 Speaker 1: vaccine cards and was trying to get a fake vaccine card. 109 00:05:42,960 --> 00:05:44,320 Speaker 1: Of course had to do it on phone because she 110 00:05:44,360 --> 00:05:46,640 Speaker 1: didn't want to leave it in text. He was trying 111 00:05:46,680 --> 00:05:48,159 Speaker 1: to get one, and she's like, I have to do 112 00:05:48,200 --> 00:05:51,280 Speaker 1: a conference here and they won't let me in without 113 00:05:51,320 --> 00:05:55,320 Speaker 1: a vaccine card. And I was like, ma'am, ma'am, get 114 00:05:55,360 --> 00:05:57,880 Speaker 1: your vaccine. And at that point, I'm like, you should 115 00:05:57,920 --> 00:05:59,719 Speaker 1: have told her, yeah, it can meet me at and 116 00:05:59,760 --> 00:06:02,200 Speaker 1: then take out to CBS or a wall to get 117 00:06:02,240 --> 00:06:05,560 Speaker 1: a vaccine, because that would have been hilarious. But yeah, 118 00:06:05,640 --> 00:06:08,760 Speaker 1: people are actually trying to do this. And it ended 119 00:06:08,839 --> 00:06:10,680 Speaker 1: up that she talked to her daughter and saying, I 120 00:06:10,680 --> 00:06:13,520 Speaker 1: think the stude is trying to sell vaccine cars, which 121 00:06:13,520 --> 00:06:17,200 Speaker 1: by the way, he's pro vaccine, Get stupid vaccine. And 122 00:06:17,200 --> 00:06:20,039 Speaker 1: the FBIS had to look into that because there's been 123 00:06:20,080 --> 00:06:23,279 Speaker 1: so many fake vaccines printed that's so sorted. I've seen 124 00:06:23,320 --> 00:06:25,279 Speaker 1: the one that had like Jesus is my vaccine, which 125 00:06:25,320 --> 00:06:28,520 Speaker 1: is even better. So back to some facts, I just 126 00:06:28,560 --> 00:06:31,560 Speaker 1: had to share that story. There have been several recent 127 00:06:31,600 --> 00:06:35,720 Speaker 1: studies about the unvaccinated population in the US and why 128 00:06:35,760 --> 00:06:38,800 Speaker 1: they are unvaccinated and how the demographic is shake out, 129 00:06:38,920 --> 00:06:41,640 Speaker 1: and we've had discussions on the show about issues of 130 00:06:41,680 --> 00:06:45,039 Speaker 1: access or racial trauma that can't be ignored UM, and 131 00:06:45,080 --> 00:06:47,240 Speaker 1: a few of these studies have ran with headlines like 132 00:06:47,720 --> 00:06:50,839 Speaker 1: what women make up the majority of anti vactors online? 133 00:06:51,320 --> 00:06:53,240 Speaker 1: A couple of things before we dig into why that 134 00:06:53,400 --> 00:06:56,960 Speaker 1: might be. Firstly, while a recent study of a thousand 135 00:06:57,080 --> 00:07:01,359 Speaker 1: demographically representative folks found that about twenty two eight percent 136 00:07:01,440 --> 00:07:05,160 Speaker 1: always identified this way and fourties sometimes do of Americans 137 00:07:05,240 --> 00:07:09,560 Speaker 1: identify as anti vaxer's, most experts point out that they 138 00:07:09,600 --> 00:07:14,200 Speaker 1: really are the primary segment of unvaccinated people in the US. Yes, 139 00:07:14,360 --> 00:07:17,640 Speaker 1: And actually I have a story about this because I 140 00:07:17,680 --> 00:07:20,960 Speaker 1: was telling you the big conference, Dragon Con, of which 141 00:07:21,000 --> 00:07:23,720 Speaker 1: I usually attend, recently announced to get in. I mean, 142 00:07:23,720 --> 00:07:26,560 Speaker 1: there there's a bunch of health policies they're instituting, but 143 00:07:26,680 --> 00:07:28,600 Speaker 1: one of them is you have to have a vaccine 144 00:07:28,680 --> 00:07:31,600 Speaker 1: or a negative health tests a negative COVID test within 145 00:07:31,680 --> 00:07:34,200 Speaker 1: the last seventy two hours. And I was just going 146 00:07:34,200 --> 00:07:36,360 Speaker 1: through after they announced this, I was just going through 147 00:07:36,360 --> 00:07:40,520 Speaker 1: the comments UM to see what the how angry people were, 148 00:07:41,000 --> 00:07:42,320 Speaker 1: and a lot of people are really happy. A lot 149 00:07:42,360 --> 00:07:44,200 Speaker 1: of people were like, oh my gosh, thank goodness. A 150 00:07:44,280 --> 00:07:46,160 Speaker 1: lot of people were really angry and like, well, now 151 00:07:46,200 --> 00:07:48,160 Speaker 1: I see you, and I'll never attend again and you'll 152 00:07:48,200 --> 00:07:50,480 Speaker 1: never get my money again. But then there were a 153 00:07:50,520 --> 00:07:52,360 Speaker 1: plenty of people who are like, well, I guess I'll 154 00:07:52,360 --> 00:07:55,800 Speaker 1: go get one now. And I was like, really right, 155 00:07:56,520 --> 00:08:01,360 Speaker 1: this is the thing. Okay, okay, gott you gotta get 156 00:08:01,400 --> 00:08:04,040 Speaker 1: that vaccine if you want to dress up a party. 157 00:08:04,840 --> 00:08:07,680 Speaker 1: According to that study that you just mentioned, Samantha, a 158 00:08:07,680 --> 00:08:10,400 Speaker 1: lot of people were adapting kind of a wait and 159 00:08:10,480 --> 00:08:13,000 Speaker 1: see and so they were like, I'm going to see 160 00:08:13,040 --> 00:08:16,320 Speaker 1: what happens to people who get it early, and then 161 00:08:16,600 --> 00:08:18,480 Speaker 1: I'll get it. So I just thought that was really interesting, 162 00:08:18,520 --> 00:08:19,920 Speaker 1: and I know we've talked about that before. Is I'm 163 00:08:19,920 --> 00:08:22,000 Speaker 1: just curious about people who are getting it now, Like, 164 00:08:22,040 --> 00:08:25,280 Speaker 1: what is the thing that you were like, Okay, I'll 165 00:08:25,280 --> 00:08:28,440 Speaker 1: get it. Apparently for some people it is going can't 166 00:08:28,480 --> 00:08:45,360 Speaker 1: hear the conference A NERD coverence looking specifically at anti 167 00:08:45,440 --> 00:08:49,000 Speaker 1: vaxtors and Facebook, A recent study did find that the 168 00:08:49,080 --> 00:08:52,360 Speaker 1: vast majority in quotes of people commenting on, sharing and 169 00:08:52,400 --> 00:08:56,120 Speaker 1: liking anti vax posts are women. This conclusion was reached 170 00:08:56,120 --> 00:08:58,840 Speaker 1: by analyzing two years of data from six of the 171 00:08:58,960 --> 00:09:02,920 Speaker 1: largest anti acts or Facebook pages, and that equated to 172 00:09:03,040 --> 00:09:07,640 Speaker 1: over two million shares. The researchers behind this find point 173 00:09:07,640 --> 00:09:11,400 Speaker 1: out that spreading misinformation and disinformation is a huge part 174 00:09:11,480 --> 00:09:15,599 Speaker 1: of holding people back from getting vaccinated and possibly overall 175 00:09:15,840 --> 00:09:18,520 Speaker 1: leading to them to get sick. People on these pages 176 00:09:18,600 --> 00:09:22,960 Speaker 1: often report feeling repressed, and there are so many comparisons 177 00:09:22,960 --> 00:09:27,359 Speaker 1: to the Holocaust on them. A fourteen study found conspiracy 178 00:09:27,440 --> 00:09:31,160 Speaker 1: like thinking was more common among anti vactors as compared 179 00:09:31,200 --> 00:09:33,760 Speaker 1: to the general public. Right, because you know, we're all 180 00:09:33,800 --> 00:09:37,200 Speaker 1: magnetic now, so that's cool. So A twenty nineteen study 181 00:09:37,240 --> 00:09:41,600 Speaker 1: found that France displayed the highest level of anti VACS sentiments, 182 00:09:42,080 --> 00:09:45,280 Speaker 1: in Bangladesh had the lowest, and the US was overall 183 00:09:45,320 --> 00:09:48,720 Speaker 1: pretty positive towards vaccines. Which, yeah, I guess the loudest, 184 00:09:49,080 --> 00:09:53,720 Speaker 1: sweakiest will gets the most attentional work next up sayings 185 00:09:53,840 --> 00:09:57,280 Speaker 1: right there, But I got you, I understand. I found 186 00:09:57,280 --> 00:09:59,600 Speaker 1: that really interesting. And of course this is from twenty nineteen, 187 00:10:00,240 --> 00:10:02,679 Speaker 1: so I wonder if that's changed. Is like, there's been 188 00:10:02,720 --> 00:10:07,000 Speaker 1: some bombastic rhetoric um in the US and and in 189 00:10:07,040 --> 00:10:09,400 Speaker 1: other countries as well, but here I wonder if that shifted. 190 00:10:09,400 --> 00:10:11,040 Speaker 1: But I was kind of surprised that France was the 191 00:10:11,080 --> 00:10:13,840 Speaker 1: highest in the US. Was pretty overall was pretty positive, 192 00:10:13,840 --> 00:10:17,760 Speaker 1: pretty pro vaccine, like even even when the scientists in 193 00:10:17,800 --> 00:10:20,000 Speaker 1: it were like, you know, we wish this was higher. 194 00:10:20,040 --> 00:10:21,720 Speaker 1: I think it was still like nine out of ten, 195 00:10:22,520 --> 00:10:25,800 Speaker 1: and even kids like, yeah, I get my kids a vaccine. 196 00:10:26,040 --> 00:10:29,440 Speaker 1: So that was interesting. But a part of the problem, 197 00:10:29,559 --> 00:10:35,040 Speaker 1: experts say of this anti vaccine mentality isn't an identity piece. 198 00:10:35,120 --> 00:10:38,040 Speaker 1: It's it's this idea that it is a piece of 199 00:10:38,080 --> 00:10:41,240 Speaker 1: social identity, that it is a marker that people see 200 00:10:41,240 --> 00:10:43,280 Speaker 1: as a part of themselves, like a core value that 201 00:10:43,320 --> 00:10:45,720 Speaker 1: they are proud of, and when you approach them about it, 202 00:10:45,760 --> 00:10:49,080 Speaker 1: they may feel attacked. Um, and that is difficult to change. 203 00:10:49,120 --> 00:10:54,120 Speaker 1: That was saying because obviously we're we being mostly scientists 204 00:10:54,160 --> 00:10:56,600 Speaker 1: and researchers, but I'm invested to were all invested looking 205 00:10:56,600 --> 00:10:59,559 Speaker 1: into why people aren' getting vaccinated, so they are trying 206 00:10:59,559 --> 00:11:01,360 Speaker 1: to find and like, well, what is it. How can 207 00:11:01,400 --> 00:11:04,040 Speaker 1: we approach this to change people's minds or to get 208 00:11:04,040 --> 00:11:05,360 Speaker 1: them to do it, And they were saying that it's 209 00:11:05,400 --> 00:11:07,480 Speaker 1: going to be really tough if people see it as 210 00:11:07,520 --> 00:11:12,320 Speaker 1: a piece of themselves. But what about women anti vaccer 211 00:11:12,400 --> 00:11:16,120 Speaker 1: specifically well, like we talked about in several past episodes, 212 00:11:16,120 --> 00:11:18,560 Speaker 1: including the one on Q and on, it has a 213 00:11:18,559 --> 00:11:22,400 Speaker 1: lot to do with myths around pregnancy and children. March. 214 00:11:23,640 --> 00:11:25,640 Speaker 1: He found that sixty six percent of women said they 215 00:11:25,640 --> 00:11:27,920 Speaker 1: planned to get the vaccine or had gotten their first dose, 216 00:11:28,160 --> 00:11:32,280 Speaker 1: compared to men. It also found that Republican men are 217 00:11:32,320 --> 00:11:36,200 Speaker 1: the most vaccine averse group, followed by Republican women and 218 00:11:36,240 --> 00:11:39,679 Speaker 1: then Democratic women. Experts believe this has to do with 219 00:11:39,800 --> 00:11:43,800 Speaker 1: myths and disinformation around vaccines causing infertility in women are 220 00:11:43,800 --> 00:11:48,560 Speaker 1: triggering in adverse effect in children. Group of people published 221 00:11:48,559 --> 00:11:51,920 Speaker 1: a petition to a German website suggesting with zero evidence 222 00:11:52,080 --> 00:11:54,680 Speaker 1: that the COVID vaccine might cause infertility, and one of 223 00:11:54,679 --> 00:11:57,120 Speaker 1: the authors was a former president of FISER, which gave 224 00:11:57,160 --> 00:11:59,440 Speaker 1: it a lot more credibility than it would have had 225 00:12:00,280 --> 00:12:03,439 Speaker 1: in anti vac circles. This could be part of a 226 00:12:03,480 --> 00:12:07,640 Speaker 1: population control plan. That's one of the theories Many misinterpret 227 00:12:07,880 --> 00:12:12,920 Speaker 1: or misrepresent scientific findings to gain support for their theory, 228 00:12:12,960 --> 00:12:15,000 Speaker 1: which is what happened with the study around autism and 229 00:12:15,080 --> 00:12:17,440 Speaker 1: children and vaccines, which I believe we talked about before 230 00:12:17,440 --> 00:12:20,000 Speaker 1: in the past. In times of uncertainty and fear, people 231 00:12:20,000 --> 00:12:23,000 Speaker 1: are more susceptible to think things like this makes sense, 232 00:12:23,040 --> 00:12:24,560 Speaker 1: so you're always kind of looking for this step. And 233 00:12:25,520 --> 00:12:29,320 Speaker 1: that's been a topic of conversation as well during all this. Yeah, 234 00:12:29,440 --> 00:12:32,480 Speaker 1: others have pointed out the arity of anti vac stort 235 00:12:32,480 --> 00:12:35,440 Speaker 1: of women using the phrase my body, my choice to 236 00:12:35,559 --> 00:12:40,839 Speaker 1: protest masks and vaccines when they are so gives reproductive 237 00:12:40,960 --> 00:12:43,559 Speaker 1: rights and abortion. Yeah, they really think they're flipping the 238 00:12:43,600 --> 00:12:46,880 Speaker 1: coin on that one. Some Republican officials have been introduced 239 00:12:46,960 --> 00:12:52,160 Speaker 1: and gotten pasted laws prohibiting mass mandates, although the Supreme 240 00:12:52,240 --> 00:12:56,040 Speaker 1: Court did actually decide not to rule on one of 241 00:12:56,080 --> 00:12:59,840 Speaker 1: the mass mandate laws. And at a school which pistol 242 00:13:00,040 --> 00:13:02,000 Speaker 1: lot of Republicans of because now they're like, oh no, 243 00:13:02,800 --> 00:13:06,880 Speaker 1: we can't afforce this. It's interesting at a Republican conventions, 244 00:13:06,920 --> 00:13:10,440 Speaker 1: people have cheered low vaccine numbers as in fact, though 245 00:13:10,480 --> 00:13:15,920 Speaker 1: apparently Donald Trump himself try to recommend and encourage it 246 00:13:15,960 --> 00:13:19,880 Speaker 1: and got booed by his own people. Yeah, and then 247 00:13:19,880 --> 00:13:21,520 Speaker 1: he backed up and he was like, well, you know, 248 00:13:21,920 --> 00:13:23,960 Speaker 1: only if they want it, but I you don't have 249 00:13:24,000 --> 00:13:27,920 Speaker 1: to get it, I have said. But yeah, there's just 250 00:13:28,000 --> 00:13:32,040 Speaker 1: a lot of interesting things that play, and I find 251 00:13:32,080 --> 00:13:35,040 Speaker 1: it fascinating how often we do go back to this 252 00:13:35,160 --> 00:13:38,040 Speaker 1: idea of children in pregnancy when it comes to conspiracies 253 00:13:38,040 --> 00:13:41,520 Speaker 1: and women. It's just a theme that we're seeing over 254 00:13:41,640 --> 00:13:45,760 Speaker 1: and over again and really praying on and building up 255 00:13:45,800 --> 00:13:50,880 Speaker 1: that idea of almost like kind of this ultra women 256 00:13:50,920 --> 00:13:53,640 Speaker 1: are the protectors of children and this is your role 257 00:13:53,720 --> 00:13:58,160 Speaker 1: is to have children, and just really playing that up right. 258 00:13:58,520 --> 00:14:01,079 Speaker 1: There's definitely a whole level of converse station that's interesting 259 00:14:01,120 --> 00:14:03,760 Speaker 1: to me, where the majority of people that I've seen, 260 00:14:03,880 --> 00:14:06,840 Speaker 1: once again not necessarily all, and I haven't done the research, 261 00:14:07,040 --> 00:14:11,440 Speaker 1: but what I've witnessed is pretty much predominantly white says 262 00:14:11,640 --> 00:14:14,520 Speaker 1: female who are the ones that are the loudest about 263 00:14:14,559 --> 00:14:18,320 Speaker 1: being anti vaxers, and typically when it comes to eugenics, 264 00:14:18,360 --> 00:14:21,200 Speaker 1: that doesn't target them when it comes to the fact 265 00:14:21,240 --> 00:14:23,760 Speaker 1: that this type of thing does happen and they're trying 266 00:14:23,760 --> 00:14:26,920 Speaker 1: to cause infertility on purpose so that people, you know, 267 00:14:27,080 --> 00:14:31,160 Speaker 1: population control has never been geared towards white women typically, 268 00:14:31,760 --> 00:14:33,760 Speaker 1: So it's kind of ironic to me the best what 269 00:14:33,800 --> 00:14:36,480 Speaker 1: they want to harp on because the true incidents of 270 00:14:36,520 --> 00:14:41,800 Speaker 1: this happening have been typically towards ablest and or racial ideas. 271 00:14:42,000 --> 00:14:44,280 Speaker 1: So so like, hey, buddy, you're jumping into anything that 272 00:14:44,320 --> 00:14:48,120 Speaker 1: you don't even really understand, right, I mean, you're absolutely 273 00:14:48,120 --> 00:14:51,720 Speaker 1: correct because that brings up like multiple other issues that 274 00:14:52,800 --> 00:14:57,480 Speaker 1: horror conversation that we're not giving as much air time 275 00:14:58,480 --> 00:15:00,600 Speaker 1: or we're not even including like some like we separate 276 00:15:00,640 --> 00:15:02,800 Speaker 1: them out, and we shouldn't separate them out because it 277 00:15:02,920 --> 00:15:06,440 Speaker 1: is part of this whole thing, right. But yeah, obviously 278 00:15:06,480 --> 00:15:09,240 Speaker 1: there's a lot we could unpacked here, but we just 279 00:15:09,280 --> 00:15:12,560 Speaker 1: wanted to do a quick overview. As always, listeners, we 280 00:15:12,600 --> 00:15:14,080 Speaker 1: would love to hear from you. We would love to 281 00:15:14,080 --> 00:15:17,440 Speaker 1: hear what's going on and your neck of the woods 282 00:15:17,440 --> 00:15:19,720 Speaker 1: and you're part of the world if it's different than 283 00:15:19,760 --> 00:15:22,600 Speaker 1: what we're talking about. You can email us at Stuff Media, 284 00:15:22,640 --> 00:15:24,760 Speaker 1: mom Stuff at iHeart media dot com. You can find 285 00:15:24,840 --> 00:15:26,480 Speaker 1: us on Instagram and Stuff I've Never Told You are 286 00:15:26,520 --> 00:15:28,840 Speaker 1: on Twitter at moms of podcast. Thanks as always to 287 00:15:28,880 --> 00:15:32,720 Speaker 1: our super producer Christina, Thank you, and thanks to you 288 00:15:32,760 --> 00:15:34,600 Speaker 1: for listening Stuff I Never Told You. Use the protection 289 00:15:34,640 --> 00:15:36,320 Speaker 1: of I Heart Radio for more. Podcast from my Heart 290 00:15:36,400 --> 00:15:38,560 Speaker 1: Radio is via heart radio app, Apple podcast, or wherever 291 00:15:38,600 --> 00:15:39,840 Speaker 1: you listen to your favorite ships.