1 00:00:01,720 --> 00:00:07,360 Speaker 1: Also media, Welcome to it could happen here. The show 2 00:00:07,360 --> 00:00:10,559 Speaker 1: about things falling apart, and often what's falling apart is 3 00:00:10,920 --> 00:00:14,159 Speaker 1: kind of our general agreed upon sense of what reality is, 4 00:00:14,200 --> 00:00:16,360 Speaker 1: and that's kind of what we're talking about here. 5 00:00:16,400 --> 00:00:16,799 Speaker 2: Today. 6 00:00:17,160 --> 00:00:20,279 Speaker 1: We're going to talk about the latest batch of new 7 00:00:20,440 --> 00:00:25,720 Speaker 1: transgender conspiracy theories. And to join me in this exciting 8 00:00:25,800 --> 00:00:27,960 Speaker 1: journey is Mia Wong. Hello. Mia. 9 00:00:28,960 --> 00:00:32,680 Speaker 3: You know, why is it or whatever? We're covering transgender conspiracies. 10 00:00:32,680 --> 00:00:35,519 Speaker 3: It's not like conspiracies that trans people made up. It's 11 00:00:35,520 --> 00:00:38,839 Speaker 3: always conspiracies about trans people. It's like, like, can we 12 00:00:38,920 --> 00:00:39,800 Speaker 3: never get one that? 13 00:00:40,040 --> 00:00:43,400 Speaker 1: Like often I can't remember the last time I had 14 00:00:43,440 --> 00:00:47,879 Speaker 1: like a positive Pride Month episode, which I feel kind 15 00:00:47,920 --> 00:00:50,760 Speaker 1: of bad about, but I don't know. It's still an 16 00:00:50,760 --> 00:00:53,519 Speaker 1: interesting topic and I've not seen this discussed as much 17 00:00:53,560 --> 00:00:56,279 Speaker 1: as that should be. And you know, last week I 18 00:00:56,320 --> 00:00:58,360 Speaker 1: really thought I was going to have, you know, a 19 00:00:58,440 --> 00:01:02,080 Speaker 1: difficult work week researching Trump pornography. I thought that'd be like, 20 00:01:02,120 --> 00:01:04,560 Speaker 1: you know, the low part of my month. But it 21 00:01:04,600 --> 00:01:07,560 Speaker 1: turns out spending three days sifting through mass shooter data 22 00:01:07,680 --> 00:01:12,080 Speaker 1: is actually much worse, much worse than looking through Trump board. 23 00:01:12,440 --> 00:01:13,880 Speaker 1: So jaris can, I can, I can? 24 00:01:13,920 --> 00:01:16,080 Speaker 3: I can? I recommend that you two spend your time 25 00:01:16,160 --> 00:01:18,520 Speaker 3: listening to a bunch of rioters talking about the absolute 26 00:01:18,520 --> 00:01:22,080 Speaker 3: worst time of your life. Much better, all right, so 27 00:01:22,680 --> 00:01:27,400 Speaker 3: let's get into it. We're gonna talk first about video games. 28 00:01:28,120 --> 00:01:31,640 Speaker 3: I'm gonna quote a tweet from a kind of failure 29 00:01:31,840 --> 00:01:34,200 Speaker 3: of a far right influencer, which is exciting because we're 30 00:01:34,200 --> 00:01:36,920 Speaker 3: mostly gonna be talking about successful ones. But is this 31 00:01:36,959 --> 00:01:40,800 Speaker 3: guy named ben Ko uk flag in bio, so opinion 32 00:01:40,840 --> 00:01:45,880 Speaker 3: immediately discarded. But he has said a few days ago, 33 00:01:45,959 --> 00:01:50,520 Speaker 3: quote Activision's Call of Duty has added transgender bullets to 34 00:01:50,560 --> 00:01:53,320 Speaker 3: the game in honor of Pride Month, so you can 35 00:01:53,360 --> 00:01:58,480 Speaker 3: literally play as a transgender mass shooter unquote. This tweet 36 00:01:58,520 --> 00:02:01,280 Speaker 3: was almost ripped word for word by Ian Miles. Chung 37 00:02:02,880 --> 00:02:06,320 Speaker 3: basically said the exact same thing, except you said role play, 38 00:02:06,400 --> 00:02:10,520 Speaker 3: not play. Extremely funny, and I did not realize the 39 00:02:10,520 --> 00:02:14,200 Speaker 3: bullets themselves identified as trance. But good for she her 40 00:02:14,480 --> 00:02:18,280 Speaker 3: they them, I guess. So we started to see this 41 00:02:18,360 --> 00:02:22,360 Speaker 3: claim repeated through the anti trans far right grifter media 42 00:02:22,400 --> 00:02:25,720 Speaker 3: space Right limbs of TikTok said that quote Call of 43 00:02:25,800 --> 00:02:28,640 Speaker 3: Duty is now enabling kids to role play being a 44 00:02:28,720 --> 00:02:33,079 Speaker 3: literal trans terrorist. And for some reason, whenever libs of 45 00:02:33,120 --> 00:02:38,200 Speaker 3: TikTok writes terrorists, she asterix out the o's. I don't 46 00:02:38,280 --> 00:02:41,760 Speaker 3: know why, but this, this, this started to pick up steam. 47 00:02:41,800 --> 00:02:44,280 Speaker 3: There was an article in Glenn Beck's The Blaze quote 48 00:02:44,480 --> 00:02:48,519 Speaker 3: call of Duty Pride bundle let's players simulate murder using 49 00:02:48,680 --> 00:02:53,120 Speaker 3: trans flag adorned guns and bullets. I'm so excited for 50 00:02:53,160 --> 00:02:56,200 Speaker 3: these people to think to find out about counter strike there. 51 00:02:56,200 --> 00:02:59,920 Speaker 3: There are gonna be literally so many, so many articles 52 00:03:00,160 --> 00:03:02,040 Speaker 3: just have the video cliff of the thing in place 53 00:03:02,080 --> 00:03:03,799 Speaker 3: at the an words says terrorists win. 54 00:03:05,000 --> 00:03:08,440 Speaker 1: The Quartering wrote, call of Duty is selling trans pride 55 00:03:08,520 --> 00:03:14,679 Speaker 1: bullets whatevery mass shooter wants. So what's going on here? 56 00:03:15,160 --> 00:03:18,200 Speaker 1: Cause this, you know, if you're not as online as 57 00:03:18,240 --> 00:03:21,120 Speaker 1: some of us some other people are, you know this 58 00:03:21,160 --> 00:03:24,520 Speaker 1: is maybe confusing. Why are they saying that trans people 59 00:03:24,560 --> 00:03:27,560 Speaker 1: are all mass shooters? Now? What's going on? And you know, 60 00:03:27,960 --> 00:03:30,880 Speaker 1: and also if you're thinking it's kind of odd that 61 00:03:30,919 --> 00:03:32,639 Speaker 1: there would be a Call of Duty update where you 62 00:03:32,680 --> 00:03:35,440 Speaker 1: can literally play as a transgender mass shooter and shoot 63 00:03:35,440 --> 00:03:39,240 Speaker 1: transgender bullets, you would be right because that never happened. 64 00:03:40,000 --> 00:03:43,400 Speaker 2: It's false. No, way, not this time, we created it. 65 00:03:43,800 --> 00:03:46,000 Speaker 2: Not this time, No, not this time. 66 00:03:46,120 --> 00:03:47,840 Speaker 1: So let's get into what's really going on with this 67 00:03:47,880 --> 00:03:50,080 Speaker 1: Call of Duty Pride update, and then we'll discuss why 68 00:03:50,480 --> 00:03:53,280 Speaker 1: so many of these far right influences are pushing this 69 00:03:53,360 --> 00:03:57,320 Speaker 1: kind of trans terrorist story. So on June first, Activision 70 00:03:57,360 --> 00:03:59,560 Speaker 1: did release an update for the terrible new Call of 71 00:03:59,640 --> 00:04:03,320 Speaker 1: Duty in Warfare three. It contained anime mecha skins and 72 00:04:03,440 --> 00:04:07,040 Speaker 1: seven free weapon skins themed after various Pride flags. Now, 73 00:04:07,040 --> 00:04:10,120 Speaker 1: some would argue that the mechasuits are essentially also Pride themed, 74 00:04:10,280 --> 00:04:13,880 Speaker 1: but I digress. For this Pride Weapon Camo pack, it 75 00:04:13,920 --> 00:04:16,440 Speaker 1: will color your gun with the flag of your choosing. 76 00:04:16,880 --> 00:04:19,159 Speaker 1: One of the said flags is the blue, pink and 77 00:04:19,200 --> 00:04:22,719 Speaker 1: white trans flag. Yet if you apply the trans skin 78 00:04:22,880 --> 00:04:25,320 Speaker 1: to any of the regular guns in the game, the 79 00:04:25,360 --> 00:04:29,120 Speaker 1: bullets will not be trans'd. So what gives without the 80 00:04:29,160 --> 00:04:33,000 Speaker 1: transgender bullets, how is anyone supposed to literally roleplay a 81 00:04:33,040 --> 00:04:35,240 Speaker 1: mass shooter like libs of tech Talk and Ian Miles 82 00:04:35,360 --> 00:04:38,920 Speaker 1: Chung say we can. So it turns out these quote 83 00:04:38,960 --> 00:04:42,599 Speaker 1: unquote transgender bullets were in fact not intentionally added to 84 00:04:42,640 --> 00:04:44,440 Speaker 1: the game in honor of Pride Month, and are most 85 00:04:44,480 --> 00:04:48,039 Speaker 1: likely a bug that affects one single gun when one 86 00:04:48,200 --> 00:04:51,599 Speaker 1: exclusive attachment is equipped. I'm going to quote from Kotaku 87 00:04:51,720 --> 00:04:54,640 Speaker 1: quote Modern Warfare three's M four came with a special 88 00:04:54,720 --> 00:04:57,280 Speaker 1: Soul Harvester weapon blueprint, which includes a skin and a 89 00:04:57,279 --> 00:04:59,919 Speaker 1: specific attachment for the M four and quote unquote tracer 90 00:05:00,320 --> 00:05:03,200 Speaker 1: which are colorful AMMO options that also leave traces of 91 00:05:03,200 --> 00:05:06,800 Speaker 1: different visual effects like paint splatters or rose petals. This 92 00:05:06,960 --> 00:05:09,920 Speaker 1: special blueprint was for people who spend one hundred dollars 93 00:05:09,960 --> 00:05:12,839 Speaker 1: to purchase the Vault edition of the game. Based on 94 00:05:12,880 --> 00:05:15,760 Speaker 1: Kataku's testing, it appears the quote unquote trans bullets only 95 00:05:15,800 --> 00:05:18,880 Speaker 1: appear when applying the transgender flag Camo skin on this 96 00:05:19,000 --> 00:05:22,520 Speaker 1: specific weapon blueprint. It's unclear this is a bug. At 97 00:05:22,520 --> 00:05:24,720 Speaker 1: one point during testing, the bullets in the cartridge were 98 00:05:24,760 --> 00:05:27,240 Speaker 1: only the pink colors in the flag, or is just 99 00:05:27,360 --> 00:05:30,240 Speaker 1: an extremely adosyncratic reflection of how Call of Duty's complex 100 00:05:30,279 --> 00:05:34,880 Speaker 1: shader system interacts across thousands of items and cosmetics. During testing, 101 00:05:35,160 --> 00:05:38,279 Speaker 1: any other Camo skin applied to the M four Soul 102 00:05:38,320 --> 00:05:41,440 Speaker 1: Harvester blueprint resulted in bullets in the cartridge changing the 103 00:05:41,480 --> 00:05:42,880 Speaker 1: color to match that skin. 104 00:05:43,200 --> 00:05:43,760 Speaker 3: Unquote. 105 00:05:44,520 --> 00:05:46,719 Speaker 1: Now I do think it's a little bit silly that 106 00:05:46,720 --> 00:05:49,880 Speaker 1: there's so much uproar about these trans colored bullets but 107 00:05:50,760 --> 00:05:53,920 Speaker 1: not as much about like just a trans colored gun, 108 00:05:54,080 --> 00:05:59,280 Speaker 1: Like why is the bullet the big thing? And we 109 00:05:59,320 --> 00:06:02,239 Speaker 1: all know that you can't play as a mass shooter 110 00:06:02,320 --> 00:06:04,719 Speaker 1: in Call of Duty. You play as a war criminal, 111 00:06:05,240 --> 00:06:08,240 Speaker 1: and most transgender war criminals are just drone pilots or 112 00:06:08,279 --> 00:06:10,880 Speaker 1: work for Raytheon. If you want to play a mass 113 00:06:10,880 --> 00:06:13,559 Speaker 1: shooter game, you can just play GTA five or hit Man, 114 00:06:13,680 --> 00:06:16,479 Speaker 1: where you play as cis men. Yeah, yeah, yeah, I know, 115 00:06:16,520 --> 00:06:19,800 Speaker 1: but the Russian terrorist airport level don't at me. I 116 00:06:19,800 --> 00:06:24,919 Speaker 1: don't care anyway. There was a great article in former 117 00:06:25,000 --> 00:06:29,080 Speaker 1: Tucker Carlson project, The Daily Caller with the headline Pride 118 00:06:29,160 --> 00:06:32,680 Speaker 1: Month finally comes for one of the last bastions of manhood, 119 00:06:33,160 --> 00:06:39,560 Speaker 1: and the opening tagline is gamers. They targeted gamers. Oh no, 120 00:06:40,640 --> 00:06:45,159 Speaker 1: So anyway, what's really at play here with this transmash 121 00:06:45,240 --> 00:06:49,080 Speaker 1: shooter stuff. This is just another beat in the rhetorical 122 00:06:49,080 --> 00:06:52,479 Speaker 1: strategy that conservative anti trans influencers have been building over 123 00:06:52,600 --> 00:06:54,920 Speaker 1: the past year and a half, using a mix of 124 00:06:55,000 --> 00:06:58,919 Speaker 1: cherry picked data, bad stats, and often outright lies to 125 00:06:59,000 --> 00:07:03,360 Speaker 1: convince people that they're an increasing epidemic of transgender mass 126 00:07:03,480 --> 00:07:07,599 Speaker 1: killing attacks sweeping the nation. When discussing this call of duty, 127 00:07:07,600 --> 00:07:11,600 Speaker 1: Pride Pack Libs of TikTok said, quote, with the uptick 128 00:07:11,720 --> 00:07:15,840 Speaker 1: in actual trans violence we've been seeing, it's alarming that 129 00:07:15,920 --> 00:07:19,080 Speaker 1: call of Duty would introduce this and a Blaze article 130 00:07:19,120 --> 00:07:22,480 Speaker 1: read quote. Critics have suggested activision Blizzard may want to 131 00:07:22,520 --> 00:07:27,120 Speaker 1: reconsider given the recent mass shootings executed by lgbt radicals. 132 00:07:27,440 --> 00:07:30,760 Speaker 1: There have been multiple mass shootings executed, attempted, or at 133 00:07:30,760 --> 00:07:35,120 Speaker 1: the very least planned by transvestites and LGBTQ radicals in 134 00:07:35,240 --> 00:07:40,200 Speaker 1: recent years. So this Blaze article begins by listing four 135 00:07:40,360 --> 00:07:44,920 Speaker 1: alleged instances of these trans mass shooters. Two of these 136 00:07:45,000 --> 00:07:49,200 Speaker 1: simply never happened, as the alleged transgender individuals, a trans 137 00:07:49,200 --> 00:07:51,960 Speaker 1: guy and a fifty six year old organ and nazi, 138 00:07:52,440 --> 00:07:57,120 Speaker 1: were arrested after they made concerning posts online. And the 139 00:07:57,160 --> 00:08:01,320 Speaker 1: other two which which did happen. These are these were shootings, 140 00:08:02,440 --> 00:08:04,440 Speaker 1: except these were never actually done by trans people. 141 00:08:04,520 --> 00:08:07,280 Speaker 2: It's a made up tap, it's a total fabrication. It 142 00:08:07,400 --> 00:08:10,600 Speaker 2: never happened. It never happened. This one was invented by 143 00:08:10,600 --> 00:08:10,960 Speaker 2: a writer. 144 00:08:11,520 --> 00:08:15,720 Speaker 1: So although this transgender mass shooter narrative might not be real. 145 00:08:16,320 --> 00:08:17,600 Speaker 1: Do you know what is real? Mia? 146 00:08:18,360 --> 00:08:19,600 Speaker 3: Is it capitalism? 147 00:08:19,920 --> 00:08:23,160 Speaker 1: It is, and capitalism is fueled, at least currently by 148 00:08:23,200 --> 00:08:37,360 Speaker 1: the products and sponsors that support this podcast. Okay, we 149 00:08:37,400 --> 00:08:41,640 Speaker 1: are back now. Trying to frame every new mass shooter 150 00:08:41,800 --> 00:08:45,360 Speaker 1: as some like crazed leftist of some variety is an 151 00:08:45,360 --> 00:08:48,600 Speaker 1: old tactic popularized by the likes of Andy Know, Which 152 00:08:48,640 --> 00:08:51,920 Speaker 1: is you know ironic? Considering the fact that political extremist 153 00:08:51,960 --> 00:08:56,160 Speaker 1: related killings for the past ten years are overwhelmingly done 154 00:08:56,240 --> 00:08:59,760 Speaker 1: by individuals tied to right wing extremism, the ADL puts 155 00:08:59,800 --> 00:09:03,160 Speaker 1: it out seventy five percent, whereas leftist extremism, which is 156 00:09:03,160 --> 00:09:06,520 Speaker 1: categorized as including anarchists as well as black nationalist groups, 157 00:09:06,920 --> 00:09:09,840 Speaker 1: are responsible for just four percent. Most of the rest 158 00:09:09,920 --> 00:09:14,439 Speaker 1: they categorize as Islamic violent extremists, including the twenty sixteen 159 00:09:14,440 --> 00:09:18,199 Speaker 1: Pulse nightclub massacre targeted against here people in Orlando, although 160 00:09:18,440 --> 00:09:21,360 Speaker 1: one could argue that that is also right wing extremism, 161 00:09:21,640 --> 00:09:23,800 Speaker 1: like they are also right wingers? Like It's like Yes, 162 00:09:24,200 --> 00:09:27,480 Speaker 1: It turns out the ADL might have some troubling ways 163 00:09:27,480 --> 00:09:32,040 Speaker 1: of collecting data breaking news anyway. Regardless of the actual facts. 164 00:09:32,400 --> 00:09:35,000 Speaker 1: Lying about the political demographic of mass shooters is an 165 00:09:35,000 --> 00:09:38,240 Speaker 1: old tactic employed by far right content creators to gain 166 00:09:38,320 --> 00:09:41,679 Speaker 1: clicks and influence the talking points of more popular media 167 00:09:41,720 --> 00:09:44,960 Speaker 1: figures and politicians. And now the past few years we've 168 00:09:45,000 --> 00:09:47,720 Speaker 1: seen a new iteration of this tactic, where in the 169 00:09:47,760 --> 00:09:50,000 Speaker 1: confusion and chaos of the first few minutes and hours 170 00:09:50,040 --> 00:09:53,199 Speaker 1: after a shooting, anti trans influencers will do everything they 171 00:09:53,200 --> 00:09:57,359 Speaker 1: can to frame an alleged or suspected shooter of being transgender, 172 00:09:57,559 --> 00:10:01,560 Speaker 1: often using out of context social media posts, photographs, photos 173 00:10:01,600 --> 00:10:05,080 Speaker 1: of other people, or just pictures of like long or 174 00:10:05,160 --> 00:10:08,680 Speaker 1: dyed hair to affirm that a mass shooter must actually 175 00:10:08,720 --> 00:10:12,560 Speaker 1: be transgender. Now, even if this claim is like widely 176 00:10:12,559 --> 00:10:15,000 Speaker 1: debunked later on, most of the people that follow these 177 00:10:15,000 --> 00:10:18,199 Speaker 1: far right accounts won't be hearing about that. So all 178 00:10:18,200 --> 00:10:19,719 Speaker 1: they need to do is use this brief window of 179 00:10:19,760 --> 00:10:23,880 Speaker 1: chaos to seed the idea into people's minds. And if 180 00:10:23,880 --> 00:10:27,720 Speaker 1: you do this thing frequently enough after each new mass shooting, 181 00:10:28,080 --> 00:10:30,679 Speaker 1: then it's pretty easy to create a false perception of 182 00:10:30,720 --> 00:10:34,920 Speaker 1: this increasing trend. Now, this style of propaganda has been 183 00:10:35,000 --> 00:10:39,080 Speaker 1: largely spearheaded by Chaiai Trek, using her libs of TikTok account. 184 00:10:39,720 --> 00:10:43,600 Speaker 1: Here's another quote from her quote. The modern LGBTQ plus 185 00:10:43,600 --> 00:10:48,160 Speaker 1: movement is radicalizing young activists into becoming violent terrorist extremists. 186 00:10:48,600 --> 00:10:52,240 Speaker 1: The uptick in trans violence is going to get worse unquote. 187 00:10:52,720 --> 00:10:54,960 Speaker 1: But this sort of rhetoric has been spread by many 188 00:10:55,000 --> 00:10:59,280 Speaker 1: other online figures in this orbit, like disgraced buzzfeedwriter Benny 189 00:10:59,360 --> 00:11:03,440 Speaker 1: Johnson and chronic poster ian Miles Chung. Their rhetoric has 190 00:11:03,440 --> 00:11:07,800 Speaker 1: been spread by sitting politicians Donald Trump Junior and Elon Musk. Now, 191 00:11:07,840 --> 00:11:11,000 Speaker 1: to clarify, people have been lying about the gender identity 192 00:11:11,040 --> 00:11:13,360 Speaker 1: of mass shooters for like a long time. It's one 193 00:11:13,400 --> 00:11:16,000 Speaker 1: of the oldest jokes on four Chan. But what's been 194 00:11:16,040 --> 00:11:19,480 Speaker 1: going on the past two years is something different, and 195 00:11:19,679 --> 00:11:23,000 Speaker 1: it requires a little bit more in depth examination of 196 00:11:23,040 --> 00:11:27,000 Speaker 1: this propaganda trend. Now to get into more specific examples, here, 197 00:11:27,080 --> 00:11:29,400 Speaker 1: I like to break down a common meme format used 198 00:11:29,440 --> 00:11:32,360 Speaker 1: to spread this type of false propaganda. It's usually about 199 00:11:32,440 --> 00:11:35,720 Speaker 1: five pictures of mass shooters with text next to each 200 00:11:35,760 --> 00:11:40,120 Speaker 1: picture that reads something like the Nashville shooter identified as trans, 201 00:11:40,400 --> 00:11:44,120 Speaker 1: the X shooter identified as trans. So it will just 202 00:11:44,200 --> 00:11:47,160 Speaker 1: list all of these people that allegedly are mass shooters 203 00:11:47,160 --> 00:11:51,600 Speaker 1: and allegedly identified as trans. Now police did't identify the 204 00:11:51,760 --> 00:11:56,280 Speaker 1: Nashville Covenant School shooter as a trans man, that we 205 00:11:56,400 --> 00:11:58,560 Speaker 1: have to take their word for it. They've released no 206 00:11:58,800 --> 00:12:02,280 Speaker 1: other info on that. Typically this is seen as like 207 00:12:02,360 --> 00:12:06,280 Speaker 1: the first legitimate mass shooting done by a transgender individual, 208 00:12:06,880 --> 00:12:08,760 Speaker 1: and for the past year we've been waiting for more 209 00:12:08,760 --> 00:12:10,839 Speaker 1: and more context to come out about this mass shooting 210 00:12:10,880 --> 00:12:13,559 Speaker 1: and it's possible motivations. So I'm not even going to 211 00:12:13,640 --> 00:12:16,360 Speaker 1: really discuss this one right now. We'll just to say, sure, 212 00:12:16,440 --> 00:12:18,000 Speaker 1: this is a trans person who happened to do a 213 00:12:18,000 --> 00:12:20,560 Speaker 1: mass shooting and leave it at that, even though it's 214 00:12:20,679 --> 00:12:21,640 Speaker 1: you know, not totally clear. 215 00:12:21,679 --> 00:12:23,120 Speaker 3: Yeah, I mean I do. I want to add one 216 00:12:23,120 --> 00:12:25,679 Speaker 3: thing briefly, which is that like trying to find out 217 00:12:25,720 --> 00:12:28,200 Speaker 3: information from the police about a mass shooting is such 218 00:12:28,200 --> 00:12:32,000 Speaker 3: a crapshoot, like they just you know, they'll they'll be 219 00:12:32,080 --> 00:12:35,320 Speaker 3: like an initial flurry of press releases or whatever, and 220 00:12:35,320 --> 00:12:37,240 Speaker 3: then they just will never talk about it again until 221 00:12:37,280 --> 00:12:39,400 Speaker 3: maybe the trial. And sometimes you get some from. 222 00:12:39,240 --> 00:12:43,360 Speaker 1: That well, and in often cases for mass shooters who 223 00:12:43,440 --> 00:12:45,640 Speaker 1: often die, there is no never. 224 00:12:45,600 --> 00:12:48,120 Speaker 3: Get so yeah, yeah, and if they're dead like, but. 225 00:12:48,200 --> 00:12:51,319 Speaker 1: Even keeping this Nashville incident as a legitimate mass shooting 226 00:12:51,559 --> 00:12:54,680 Speaker 1: done by a person who happens to be trans when 227 00:12:54,720 --> 00:12:57,679 Speaker 1: talking about this meme, the thing is is that with 228 00:12:57,760 --> 00:13:01,199 Speaker 1: these five pictures that are on this meme, most typically 229 00:13:01,559 --> 00:13:05,360 Speaker 1: three out of the five people that have their pictures 230 00:13:05,360 --> 00:13:06,960 Speaker 1: here aren't even treads. 231 00:13:07,480 --> 00:13:10,800 Speaker 2: Not this time. It never happened. It is false, It 232 00:13:10,960 --> 00:13:13,400 Speaker 2: never happened. It's a fake. It's fiction. 233 00:13:13,920 --> 00:13:17,160 Speaker 1: Now, most famously, we have the Colorado Springs shooter Anderson 234 00:13:17,240 --> 00:13:19,360 Speaker 1: Lee Aldrich, who killed five people and injured twenty five 235 00:13:19,360 --> 00:13:22,400 Speaker 1: others at a queer club in twenty twenty two. Later on, 236 00:13:22,480 --> 00:13:26,200 Speaker 1: his lawyer claimed that the shooter was non binary, which 237 00:13:26,360 --> 00:13:28,959 Speaker 1: I believe is a disgusting and disingenuous attempt to get 238 00:13:28,960 --> 00:13:31,680 Speaker 1: out of the more than now fifty hate crime charges 239 00:13:31,720 --> 00:13:34,720 Speaker 1: that the shooter is facing. And this opinion is shared 240 00:13:34,760 --> 00:13:38,880 Speaker 1: not only by the DA but also all other legitimate 241 00:13:38,920 --> 00:13:42,520 Speaker 1: extremists and researchers. Prior to these claims in court, there 242 00:13:42,640 --> 00:13:45,640 Speaker 1: was no indication whatsoever that the shooter was non binary 243 00:13:45,679 --> 00:13:49,560 Speaker 1: or used they then pronouns. However, they did own rainbow 244 00:13:49,640 --> 00:13:54,600 Speaker 1: flag shooting targets. Ran a neo Nazi website that posted 245 00:13:54,600 --> 00:13:57,680 Speaker 1: gun training videos and was known by online acquaintances to 246 00:13:57,720 --> 00:14:00,360 Speaker 1: frequently post racist and homophobic content. Now I should clarify 247 00:14:00,360 --> 00:14:02,640 Speaker 1: when I say shooting targets, I don't mean that it's 248 00:14:02,720 --> 00:14:06,000 Speaker 1: pride theme shooting targets. It's that the people that you 249 00:14:06,040 --> 00:14:10,120 Speaker 1: are shooting are painted like they are gay. So there 250 00:14:10,200 --> 00:14:13,440 Speaker 1: you go now. Pictured next in the meme is someone 251 00:14:13,480 --> 00:14:17,319 Speaker 1: with purple colored hair, labeled as the Denver shooter. This 252 00:14:17,360 --> 00:14:20,200 Speaker 1: person is not trans, has never claimed to be trans. 253 00:14:20,440 --> 00:14:23,600 Speaker 1: He just has dyed hair. He killed one person in 254 00:14:23,600 --> 00:14:25,920 Speaker 1: a school shooting that he planned with a sixteen year 255 00:14:25,960 --> 00:14:26,880 Speaker 1: old trans guy. 256 00:14:27,720 --> 00:14:30,160 Speaker 3: In shooting correct? Correct? 257 00:14:30,320 --> 00:14:32,480 Speaker 1: Will we will get in We will get into this 258 00:14:32,560 --> 00:14:36,080 Speaker 1: later because the definition of mass shooting is getting stretched 259 00:14:36,600 --> 00:14:39,600 Speaker 1: liberally here now. The third person pictured, who is in trans, 260 00:14:40,120 --> 00:14:43,480 Speaker 1: changes more frequently in different versions of the meme that 261 00:14:43,600 --> 00:14:47,360 Speaker 1: you can find online. One version includes someone referenced as 262 00:14:47,520 --> 00:14:50,720 Speaker 1: the Philadelphia shooter. This is referencing a shooting spree that 263 00:14:50,760 --> 00:14:53,720 Speaker 1: resulted in five people being killed. This shooter had previously 264 00:14:53,720 --> 00:14:57,280 Speaker 1: posted photos of himself cross dressing in women's clothes, and 265 00:14:57,320 --> 00:14:59,720 Speaker 1: this was used by figures like Marjorie Taylor Green to 266 00:15:00,000 --> 00:15:03,520 Speaker 1: aim that the cis mail shooter was actually quote another 267 00:15:03,680 --> 00:15:07,520 Speaker 1: trans shooter. Family of this shooter referred to him as 268 00:15:07,560 --> 00:15:12,040 Speaker 1: a quote unquote biblical extremist, and he often posted bizarre 269 00:15:12,120 --> 00:15:15,520 Speaker 1: Christian spiritual conspiracy theories and was an outspoken fan of 270 00:15:15,560 --> 00:15:18,960 Speaker 1: Tucker Carlson. In another version of the meme posted by 271 00:15:19,040 --> 00:15:23,080 Speaker 1: Chaia Reichik, she identifies the Uvalde school shooter as transo 272 00:15:23,520 --> 00:15:26,440 Speaker 1: and includes a picture of a transwoman holding the trans 273 00:15:26,480 --> 00:15:30,240 Speaker 1: Pride flag. This was posted in January of this year. 274 00:15:30,840 --> 00:15:34,720 Speaker 1: Elon Musk replied to the tweet with two exclamation points. Now. 275 00:15:34,960 --> 00:15:37,800 Speaker 1: In the hours after the Euvaldie School shooting, pictures of 276 00:15:37,840 --> 00:15:40,680 Speaker 1: two or three different transwomen were used to falsely label 277 00:15:40,720 --> 00:15:42,880 Speaker 1: the shooter as trans, with at least one of these 278 00:15:42,920 --> 00:15:45,440 Speaker 1: transwomen being from New York, the other from Georgia. Both 279 00:15:45,480 --> 00:15:48,360 Speaker 1: these women received a great deal of harassment after the shooting. 280 00:15:48,720 --> 00:15:52,040 Speaker 1: Arizona Congressman Paul Gozar tweeted that the shooter was quote 281 00:15:52,320 --> 00:15:57,160 Speaker 1: a transsexual, leftist illegal alien unquote, which is frankly amazing 282 00:15:57,200 --> 00:15:59,280 Speaker 1: because every word in that sentence is wrong. 283 00:16:00,600 --> 00:16:03,360 Speaker 2: It's a made up tip, it's a total fabrication. It 284 00:16:03,480 --> 00:16:05,360 Speaker 2: never happened. It never happened. 285 00:16:05,760 --> 00:16:08,080 Speaker 1: Now, the other person in this meme that is typically 286 00:16:08,120 --> 00:16:11,520 Speaker 1: accepted to be trans is the Aberdeen shooter. Now, I'm 287 00:16:11,520 --> 00:16:13,720 Speaker 1: going to just quote from the Washington Post here. Quote. 288 00:16:13,760 --> 00:16:16,240 Speaker 1: In twenty eighteen, in Aberdeen, Maryland, a twenty six year 289 00:16:16,240 --> 00:16:19,400 Speaker 1: old shot and killed three people at a pharmaceuticals distribution 290 00:16:19,520 --> 00:16:22,600 Speaker 1: center before turning the weapon on themselves. The sheriff said 291 00:16:22,640 --> 00:16:25,000 Speaker 1: the shooter had been diagnosed as mentally ill. In twenty sixteen, 292 00:16:25,320 --> 00:16:28,120 Speaker 1: a close friend reported the shooter quote suffered from bipolar 293 00:16:28,120 --> 00:16:31,000 Speaker 1: disorder and struggled since early in high school with severe depression, 294 00:16:31,120 --> 00:16:33,640 Speaker 1: partly connected to their feelings of not being accepted when 295 00:16:33,680 --> 00:16:36,160 Speaker 1: they first came out as a gay teenage girl and 296 00:16:36,280 --> 00:16:39,120 Speaker 1: later as transgender. Unquote. By most accounts, this is a 297 00:16:39,160 --> 00:16:43,400 Speaker 1: transgender guy who began transitioning shortly before the shooting. Pronouns 298 00:16:43,400 --> 00:16:46,440 Speaker 1: and stuff are unclear. They also worked at this distribution 299 00:16:46,520 --> 00:16:49,400 Speaker 1: center a few weeks prior to them doing the shooting. 300 00:16:49,760 --> 00:16:52,840 Speaker 1: This incident's typically not categorized as a mass shooting because 301 00:16:52,880 --> 00:16:57,160 Speaker 1: only three people were killed excluding the shooter. Now, one 302 00:16:57,160 --> 00:17:01,440 Speaker 1: of the more recent attempts at this transgender terrorist psyop 303 00:17:02,080 --> 00:17:04,880 Speaker 1: was in the aftermath of the shooting at Joel Ostein's 304 00:17:04,880 --> 00:17:08,399 Speaker 1: megachurch in Houston earlier this February. The shooter was a 305 00:17:08,440 --> 00:17:11,840 Speaker 1: thirty six year old woman carrying her seven year old son, sadly, 306 00:17:11,920 --> 00:17:15,119 Speaker 1: both of whom died along with one other person. Just 307 00:17:15,240 --> 00:17:17,320 Speaker 1: hours after the shooting, far right accounts like lips of 308 00:17:17,320 --> 00:17:22,359 Speaker 1: TikTok and end Wokeness claimed that she was transgender, pointing 309 00:17:22,400 --> 00:17:26,240 Speaker 1: to documents where she used the name Jeffrey now Chia 310 00:17:26,280 --> 00:17:29,680 Speaker 1: Reichek called the shooting quote another act of trans terrorism. 311 00:17:30,080 --> 00:17:33,040 Speaker 1: We need to have a national conversation about the LGBTQ 312 00:17:33,160 --> 00:17:36,200 Speaker 1: movement turning youth into violent extremists unquote. 313 00:17:36,320 --> 00:17:39,320 Speaker 3: Didn't she literally say that exact thing with the last one. Yeah, 314 00:17:39,359 --> 00:17:42,040 Speaker 3: they don't even covie with new tweets, like they really 315 00:17:42,200 --> 00:17:45,320 Speaker 3: just have the same five tweets in rotation. Marjorie Taylor 316 00:17:45,359 --> 00:17:50,680 Speaker 3: Green called her quote a trans from El Savador unquote. 317 00:17:51,400 --> 00:17:55,000 Speaker 3: Missouri Representative Josh Holly, Marco Rubio, and Elon Musk all 318 00:17:55,040 --> 00:17:58,560 Speaker 3: post about this quote unquote epidemic of trans violence. These 319 00:17:58,600 --> 00:18:01,520 Speaker 3: claims were boosted by Donald Trump, June and Ted Cruz. 320 00:18:02,040 --> 00:18:04,840 Speaker 3: Fox News ran a whole story with a headline about 321 00:18:04,840 --> 00:18:09,440 Speaker 3: the shooter being transgender, and guess what, she's not trans. 322 00:18:09,680 --> 00:18:11,879 Speaker 3: She is a CIS woman who gave birth to a 323 00:18:12,000 --> 00:18:15,399 Speaker 3: child and has always identified as a woman. It just 324 00:18:15,560 --> 00:18:18,879 Speaker 3: appears that she was given a masculine name at birth 325 00:18:19,040 --> 00:18:21,960 Speaker 3: and later changed it to a more feminine name. The 326 00:18:22,040 --> 00:18:24,600 Speaker 3: far right content sphere created so much uproar that the 327 00:18:24,640 --> 00:18:26,680 Speaker 3: police had to do a whole press conference about how 328 00:18:26,680 --> 00:18:30,399 Speaker 3: the shooter was not trans, and after the Peace lawyers 329 00:18:30,440 --> 00:18:33,600 Speaker 3: clarified she was not trans, Fox News changed their claim, 330 00:18:33,920 --> 00:18:37,360 Speaker 3: now saying on air that the shooter quote identified as 331 00:18:37,600 --> 00:18:41,639 Speaker 3: both genders and was quote a biological woman who sometimes 332 00:18:41,680 --> 00:18:45,639 Speaker 3: identified as a man named Jeffrey unquote, which just isn't true. 333 00:18:46,560 --> 00:18:47,879 Speaker 3: Jesus Christ. 334 00:18:48,200 --> 00:18:50,520 Speaker 1: But the thing about this one is that it wasn't 335 00:18:50,600 --> 00:18:53,080 Speaker 1: just far right influencers in Fox News who ran with 336 00:18:53,080 --> 00:18:58,000 Speaker 1: this transgender narrative. MSNBC jumped on very early to say 337 00:18:58,000 --> 00:19:01,800 Speaker 1: that the shooter was quote a Hispanic transgender woman who 338 00:19:01,920 --> 00:19:05,160 Speaker 1: quote unquote identified as a woman unquote. 339 00:19:05,400 --> 00:19:09,359 Speaker 2: It is totally made up, pure fiction. It's fiction. It's fiction. 340 00:19:09,800 --> 00:19:10,439 Speaker 2: We made it up. 341 00:19:10,880 --> 00:19:11,560 Speaker 1: M s NBC. 342 00:19:11,760 --> 00:19:19,119 Speaker 3: More like MSNB shit, great, great, great, I'm doing great 343 00:19:19,160 --> 00:19:19,840 Speaker 3: this morning. 344 00:19:22,920 --> 00:19:24,960 Speaker 1: Do you know what's also doing great mia. 345 00:19:25,520 --> 00:19:27,800 Speaker 3: Is it the products and services support this podcast. 346 00:19:27,920 --> 00:19:30,720 Speaker 1: They're pretty consistent. Yeah they are. They are still around 347 00:19:31,200 --> 00:19:44,880 Speaker 1: and here you can listen to their important messages. All right, 348 00:19:44,920 --> 00:19:49,080 Speaker 1: we are so back. So there's there's so many more 349 00:19:49,160 --> 00:19:51,720 Speaker 1: cases like the ones that I've talked about. Right. The 350 00:19:51,760 --> 00:19:53,800 Speaker 1: reason I started working on this episode in the first 351 00:19:53,800 --> 00:19:55,959 Speaker 1: place was due to far right accounts claiming that a 352 00:19:55,960 --> 00:19:59,320 Speaker 1: man named Jared Rivierrez, who killed his seventy year old 353 00:19:59,400 --> 00:20:01,880 Speaker 1: roommate and went on a mass stabbing spree last month 354 00:20:01,920 --> 00:20:04,760 Speaker 1: outside of an AMC theater and a McDonald's in Massachusetts, 355 00:20:05,440 --> 00:20:08,720 Speaker 1: was claimed to be a quote mentally ill trans terrorist 356 00:20:08,720 --> 00:20:14,960 Speaker 1: by limbs of TikTok and a transactivist quote unquote who's 357 00:20:15,040 --> 00:20:17,399 Speaker 1: a man who thinks he's a woman, which is a 358 00:20:17,480 --> 00:20:22,199 Speaker 1: line Libs of TikTok loves using. Now, Jared claims to 359 00:20:22,240 --> 00:20:24,280 Speaker 1: be an artist and a model, but was actually like 360 00:20:24,320 --> 00:20:28,479 Speaker 1: this really weird like grifter entrepreneur. He kind of reminds 361 00:20:28,520 --> 00:20:32,879 Speaker 1: me of that weird Canadian cat killer Luke Megnan YadA 362 00:20:32,920 --> 00:20:35,639 Speaker 1: who like created a whole bunch of fake posts to 363 00:20:35,840 --> 00:20:38,680 Speaker 1: like pretend to be famous and like created like fake 364 00:20:38,760 --> 00:20:42,920 Speaker 1: fans It's very similar to this case and later this 365 00:20:43,000 --> 00:20:46,720 Speaker 1: guy Luke in Canada also killed a gay man, very 366 00:20:46,720 --> 00:20:51,760 Speaker 1: similar cases. Honestly, Jared here again, he's like pretending to 367 00:20:51,800 --> 00:20:55,560 Speaker 1: be like an international entrepreneur. He looks like this weird 368 00:20:55,600 --> 00:20:59,760 Speaker 1: like hippie surfer dude with long bleached hair. Jared's father 369 00:20:59,920 --> 00:21:03,239 Speaker 1: is a wealthy Christian therapist who looks very similar and 370 00:21:03,400 --> 00:21:06,080 Speaker 1: anti trans influencers have pointed to the word she on 371 00:21:06,280 --> 00:21:10,880 Speaker 1: Jared's Instagram profile, but Jared's actual gender identity is really unclear. 372 00:21:11,119 --> 00:21:14,080 Speaker 1: He's never pictured wearing women's clothing. He would frequently post 373 00:21:14,240 --> 00:21:18,320 Speaker 1: shirtless buff selfies. Jared has never claimed to be trans 374 00:21:18,480 --> 00:21:22,080 Speaker 1: or a woman, and has never used transgender language or iconography. 375 00:21:22,440 --> 00:21:26,399 Speaker 1: Jared did file a name change request last April, but 376 00:21:26,520 --> 00:21:29,080 Speaker 1: it was to change his last name. He goes by 377 00:21:29,160 --> 00:21:32,960 Speaker 1: Jared that same month, April, So two months ago, Jared 378 00:21:33,040 --> 00:21:36,119 Speaker 1: sexually harassed a model at a Beverly Hills hotel, saying 379 00:21:36,119 --> 00:21:38,440 Speaker 1: that he wanted to have kids with her and proposed 380 00:21:38,480 --> 00:21:41,160 Speaker 1: to her, saying I'm going to be a good husband. 381 00:21:41,480 --> 00:21:45,600 Speaker 1: You're gonna be my wife unquote. This person simply, we 382 00:21:45,680 --> 00:21:48,919 Speaker 1: have no reason to think they're trans. They do this. 383 00:21:49,359 --> 00:21:54,800 Speaker 1: They do like weird like art stuff, and I don't know. 384 00:21:54,840 --> 00:21:58,919 Speaker 1: They're like California Beverly Hills poison brained, and it seems 385 00:21:58,920 --> 00:22:01,280 Speaker 1: to they see to have gone through some kind of 386 00:22:01,320 --> 00:22:04,320 Speaker 1: mental health breakdown which resulted in them killing their roommate, 387 00:22:04,480 --> 00:22:08,680 Speaker 1: two dogs, and stabbing like six or seven people in Massachusetts. 388 00:22:09,240 --> 00:22:13,399 Speaker 1: But another trans terrorist, sure, why not? In January of 389 00:22:13,400 --> 00:22:15,960 Speaker 1: this year, in Iowa, teenager open fire at a school, 390 00:22:16,040 --> 00:22:20,440 Speaker 1: killing one person and then himself again. The usual suspects 391 00:22:20,960 --> 00:22:23,640 Speaker 1: were super quick to label him as another trans terrorist, 392 00:22:23,640 --> 00:22:26,520 Speaker 1: Elon Musk saying, this is happening a lot. Something is 393 00:22:26,560 --> 00:22:30,600 Speaker 1: deeply wrong. This kid largely seemed like a regular gen 394 00:22:30,720 --> 00:22:34,639 Speaker 1: Z liberal. He listed his pronouns as he they. He 395 00:22:34,880 --> 00:22:37,760 Speaker 1: posted things like nominally in support of trans people. He 396 00:22:37,840 --> 00:22:40,520 Speaker 1: used the hashtag gender fluid a single time in a 397 00:22:40,560 --> 00:22:43,600 Speaker 1: TikTok video filmed with what appears to be a trans 398 00:22:43,640 --> 00:22:46,080 Speaker 1: friend of his. He also posted on Reddit two years 399 00:22:46,119 --> 00:22:49,800 Speaker 1: ago that he didn't want to transition because he didn't 400 00:22:49,920 --> 00:22:54,479 Speaker 1: quote wants to look ugly. He never specifically identified as trans. 401 00:22:54,720 --> 00:22:56,680 Speaker 1: This is just kind of a tragic case. I don't 402 00:22:56,720 --> 00:22:59,240 Speaker 1: know what the deal with this kid was. They seemed 403 00:22:59,280 --> 00:23:06,080 Speaker 1: deeply confused and upset and killed someone and then killed themselves. 404 00:23:05,440 --> 00:23:08,919 Speaker 1: It sucks, but it's not a mass shooting, and it 405 00:23:08,960 --> 00:23:13,439 Speaker 1: doesn't it doesn't link to anything being a pattern of 406 00:23:13,480 --> 00:23:17,440 Speaker 1: transgender terrorism. That does not stop someone like Donald Trump 407 00:23:17,480 --> 00:23:20,880 Speaker 1: Junior saying, quote, the modern LGBTQ plus movement is radicalizing 408 00:23:20,920 --> 00:23:23,920 Speaker 1: our youth and becoming violent extremists per capita, Is there 409 00:23:23,920 --> 00:23:26,280 Speaker 1: a more violent group of people anywhere in the world 410 00:23:26,320 --> 00:23:30,680 Speaker 1: than radicalized transactivists Given the tiny fraction of the population 411 00:23:30,760 --> 00:23:32,760 Speaker 1: they make up, it doesn't seem like anyone else comes 412 00:23:32,800 --> 00:23:36,640 Speaker 1: even close. We have a lot of claims like this, 413 00:23:37,640 --> 00:23:40,440 Speaker 1: which is why I need to start talking about statistics 414 00:23:40,480 --> 00:23:45,560 Speaker 1: my least favorite thing, because this sort of messaging is 415 00:23:45,640 --> 00:23:48,120 Speaker 1: repeated a lot. We have this post from I think 416 00:23:48,119 --> 00:23:50,960 Speaker 1: Benny Johnson or Donald Trump Junior. I can't twelve which 417 00:23:50,960 --> 00:23:53,560 Speaker 1: one because unfortunately it got deleted before I was able 418 00:23:53,600 --> 00:23:55,800 Speaker 1: to log who did it, so apologies for that. But 419 00:23:56,040 --> 00:23:58,840 Speaker 1: it's a very similar sort of thing, saying there's been 420 00:23:58,880 --> 00:24:02,080 Speaker 1: at least five massive tax by transgner people since twenty eighteen. 421 00:24:02,359 --> 00:24:04,640 Speaker 1: Considering the group makes up less than point five percent 422 00:24:04,640 --> 00:24:08,520 Speaker 1: of the population, that's massive overrepresentation. We'll get into that 423 00:24:08,560 --> 00:24:13,159 Speaker 1: in a sec. So, boy, often when these people are 424 00:24:13,200 --> 00:24:16,720 Speaker 1: talking about this, this trend of trans mass shooters, they're 425 00:24:16,760 --> 00:24:20,200 Speaker 1: focusing specifically on the period of time between twenty eighteen 426 00:24:20,680 --> 00:24:24,480 Speaker 1: and twenty twenty four because largely a lot of conservatives 427 00:24:24,520 --> 00:24:27,240 Speaker 1: think that trans people were kind of like invented around 428 00:24:27,280 --> 00:24:29,439 Speaker 1: twenty eighteen, because that's when they first started to kind 429 00:24:29,480 --> 00:24:33,160 Speaker 1: of like notice that people were trans, which is something 430 00:24:33,160 --> 00:24:35,280 Speaker 1: we've talked about before in terms of like the arc 431 00:24:35,320 --> 00:24:39,040 Speaker 1: of homophobia and transphobia in relation to like gay marriage 432 00:24:39,080 --> 00:24:40,560 Speaker 1: and like a few other things. This is something we've 433 00:24:40,600 --> 00:24:43,800 Speaker 1: reported on consistently on the show. So they're very often 434 00:24:43,800 --> 00:24:46,920 Speaker 1: only looking at data from select years, and as we've 435 00:24:46,920 --> 00:24:51,440 Speaker 1: discussed here, they largely inflate the number of quote unquote 436 00:24:51,480 --> 00:24:54,000 Speaker 1: mass shooters as well as the number of mass shooters 437 00:24:54,000 --> 00:24:57,960 Speaker 1: who they call transgender. They will often, you know, very 438 00:24:57,960 --> 00:25:00,360 Speaker 1: loosely define what a mass shooting is when it's soon them, 439 00:25:00,560 --> 00:25:03,679 Speaker 1: and then very strictly define it when it doesn't. In 440 00:25:03,720 --> 00:25:06,560 Speaker 1: the Blaze article about that Call of Duty Pride pack, 441 00:25:06,680 --> 00:25:09,800 Speaker 1: they say, quote trans identifying suspects a share of public 442 00:25:09,840 --> 00:25:12,520 Speaker 1: mass shootings nationwide over the twenty eighteen or twenty twenty 443 00:25:12,560 --> 00:25:16,200 Speaker 1: three period is reportedly well over seven times their share 444 00:25:16,200 --> 00:25:20,600 Speaker 1: of the population, which links to a very sketchy right 445 00:25:20,640 --> 00:25:24,800 Speaker 1: wing crime stats website that doesn't publish any of their data. 446 00:25:24,960 --> 00:25:28,359 Speaker 1: So sure, so, there is a few different ways to 447 00:25:28,400 --> 00:25:32,320 Speaker 1: categorize what a mass shooting is. There's no universal definition 448 00:25:32,440 --> 00:25:34,960 Speaker 1: for what makes a mass shooting versus a mass killing, 449 00:25:35,520 --> 00:25:39,600 Speaker 1: so different groups categorize things kind of differently. The Mass 450 00:25:39,680 --> 00:25:43,240 Speaker 1: Killing Database is a partnership between the ap USA Today 451 00:25:43,240 --> 00:25:46,920 Speaker 1: and Northwestern University, and it defines mass killings quote as 452 00:25:46,960 --> 00:25:50,000 Speaker 1: the intentional killing of four or more victims, excluding the 453 00:25:50,040 --> 00:25:53,200 Speaker 1: deaths of unborn children and the offenders by any means, 454 00:25:53,200 --> 00:25:56,440 Speaker 1: within a twenty four hour period. Their database currently lists 455 00:25:56,440 --> 00:25:59,720 Speaker 1: five hundred and ninety such killings since two thousand and six. 456 00:26:00,359 --> 00:26:03,200 Speaker 1: James Allen Fox, professor of criminology and law at Northwestern 457 00:26:03,320 --> 00:26:06,200 Speaker 1: University who manages the database, has said, quote, you can 458 00:26:06,240 --> 00:26:09,320 Speaker 1: count the number of transgender and non binary shooters on 459 00:26:09,320 --> 00:26:14,800 Speaker 1: one hand, they're actually underrepresented unquote, and again it's possible 460 00:26:15,040 --> 00:26:17,159 Speaker 1: that because of how successful the right has been at 461 00:26:17,160 --> 00:26:20,239 Speaker 1: this syop. When you're counting these number of transgender, non 462 00:26:20,240 --> 00:26:25,640 Speaker 1: binary shooters on one hand, that's also super overrepresented because 463 00:26:25,640 --> 00:26:28,800 Speaker 1: they're most likely containing like the Colorado spring shooter and 464 00:26:28,840 --> 00:26:31,280 Speaker 1: a lot of these other people. Now, trans people on 465 00:26:31,320 --> 00:26:34,280 Speaker 1: average are reported to make up about one percent of 466 00:26:34,280 --> 00:26:37,439 Speaker 1: the US population, but that number is steadily growing. We 467 00:26:37,480 --> 00:26:39,840 Speaker 1: got to pump those numbers up. Those are rookie numbers. Now. 468 00:26:39,880 --> 00:26:42,040 Speaker 1: It's also just kind of unclear what that number actually is. 469 00:26:42,240 --> 00:26:44,679 Speaker 1: That's the current one from the US Census Bureau, and 470 00:26:44,760 --> 00:26:48,240 Speaker 1: kind of an average, doubt because a lot of stats 471 00:26:48,320 --> 00:26:51,399 Speaker 1: of like people older than twenty five say the numbers 472 00:26:51,400 --> 00:26:54,400 Speaker 1: at like around zero point five point six percent versus 473 00:26:54,680 --> 00:26:58,080 Speaker 1: people under twenty five reportedly it's like one point five percent. 474 00:26:58,160 --> 00:26:59,920 Speaker 1: So you know, I'm just gonna say around one percent. 475 00:27:00,280 --> 00:27:00,440 Speaker 2: Now. 476 00:27:00,480 --> 00:27:04,199 Speaker 1: Under most criterias for mass killings, only one incident, the 477 00:27:04,280 --> 00:27:09,120 Speaker 1: one in Nashville, qualifies for inclusion. Another data source called 478 00:27:09,160 --> 00:27:11,760 Speaker 1: the Violence Project has recorded data on mass shootings in 479 00:27:11,800 --> 00:27:15,640 Speaker 1: the US since nineteen sixty six. They more narrowly define 480 00:27:15,680 --> 00:27:17,760 Speaker 1: a mass killing as four more people killed in a 481 00:27:17,800 --> 00:27:22,760 Speaker 1: public unconnected to other criminal activity. Their current database has 482 00:27:22,800 --> 00:27:25,879 Speaker 1: one hundred and ninety three entries. A spokesperson for their 483 00:27:25,960 --> 00:27:30,199 Speaker 1: organization told Reuters that the twenty twenty three Nashville shooting 484 00:27:30,280 --> 00:27:33,159 Speaker 1: quote is the first case of a trans perpetrator in 485 00:27:33,200 --> 00:27:37,160 Speaker 1: their database, per their methodology. Another more broad data collection 486 00:27:37,560 --> 00:27:40,439 Speaker 1: project is called the Gun Violence Archive. I'm just going 487 00:27:40,480 --> 00:27:43,960 Speaker 1: to quote from Reuter's here quote. The Gun Violence Archive, 488 00:27:43,960 --> 00:27:46,240 Speaker 1: which began collecting data on gun violence in the US 489 00:27:46,280 --> 00:27:49,000 Speaker 1: in twenty thirteen, recorded more than four thousand and four 490 00:27:49,119 --> 00:27:51,720 Speaker 1: hundred mass shootings in the last decade. Its definition of 491 00:27:51,720 --> 00:27:54,560 Speaker 1: a mass shooting is four or more people shot resulting 492 00:27:54,640 --> 00:27:58,680 Speaker 1: in injury or death, excluding the perpetrator of those quote. 493 00:27:58,760 --> 00:28:01,520 Speaker 1: The number of known suspects mass shooting which are trans 494 00:28:01,760 --> 00:28:04,840 Speaker 1: is under ten for the last decade, which translated to 495 00:28:04,960 --> 00:28:08,399 Speaker 1: zero point one one percent of the four four hundred 496 00:28:08,400 --> 00:28:12,080 Speaker 1: shootings unquote, which is about nine times lower than SIS 497 00:28:12,160 --> 00:28:15,320 Speaker 1: people per capita if we use the one percent trans 498 00:28:15,359 --> 00:28:19,480 Speaker 1: population stat and even using the more conservative mass killing 499 00:28:19,560 --> 00:28:22,400 Speaker 1: data set, the rate of this sort of violence by 500 00:28:22,480 --> 00:28:25,399 Speaker 1: trans people is far lower than what would match our 501 00:28:25,480 --> 00:28:28,359 Speaker 1: population margin. I'm going to add in a short quote 502 00:28:28,359 --> 00:28:29,959 Speaker 1: from the Washington Post to kind of add in some 503 00:28:30,040 --> 00:28:34,359 Speaker 1: context here quote. The Gun Violence Archive methodology would allow 504 00:28:34,359 --> 00:28:37,639 Speaker 1: for inclusion of the Aberdeen and Denver cases with zero 505 00:28:37,680 --> 00:28:39,640 Speaker 1: point six percent of the population. One would expect at 506 00:28:39,720 --> 00:28:42,560 Speaker 1: least sixteen mass shootings to be conducted by people identifying 507 00:28:42,600 --> 00:28:45,479 Speaker 1: as trans in the past five years. Instead, there are 508 00:28:45,520 --> 00:28:49,200 Speaker 1: just three possible cases cited by most conservatives unquote. So 509 00:28:49,360 --> 00:28:51,960 Speaker 1: after looking over all of this data, it would actually 510 00:28:52,040 --> 00:28:55,600 Speaker 1: appear that transgender people are less likely to commit a 511 00:28:55,640 --> 00:28:58,920 Speaker 1: mass shooting than CIS people, even by some of the 512 00:28:58,920 --> 00:29:02,240 Speaker 1: more conservative estimate. It's the other side of this is 513 00:29:02,280 --> 00:29:05,520 Speaker 1: that not only are trans people less likely to you know, 514 00:29:05,760 --> 00:29:08,440 Speaker 1: do this sort of violence, they are way more likely 515 00:29:08,520 --> 00:29:11,160 Speaker 1: to be on the receiving end than sispeople. For the 516 00:29:11,240 --> 00:29:14,120 Speaker 1: National Archive of Criminal Justice Data, LGBTQ plus people are 517 00:29:14,120 --> 00:29:15,600 Speaker 1: more than twice as likely to be a victim of 518 00:29:15,600 --> 00:29:18,560 Speaker 1: gun violence than their cisgender and straight peers. According to 519 00:29:18,600 --> 00:29:22,040 Speaker 1: the Human Rights Campaign, twenty nine percent of transgender youth 520 00:29:22,120 --> 00:29:24,880 Speaker 1: have been threatened or injured with a weapon on school property, 521 00:29:25,120 --> 00:29:28,000 Speaker 1: compared to seven percent of cisgender youth. So even for 522 00:29:28,000 --> 00:29:30,560 Speaker 1: school shootings, you are so much, so much more likely 523 00:29:30,600 --> 00:29:34,520 Speaker 1: to face gun violence at school if you are trans, transgender, 524 00:29:34,560 --> 00:29:37,959 Speaker 1: non binary, gender questioning people have reportedly higher rates of 525 00:29:37,960 --> 00:29:40,680 Speaker 1: being impacted or knowing someone who's been impacted by a 526 00:29:40,720 --> 00:29:45,120 Speaker 1: mass shooting compared to their cisgender queer peers. This is 527 00:29:45,200 --> 00:29:47,440 Speaker 1: you know, a data average, but it's usually around twenty 528 00:29:47,440 --> 00:29:50,200 Speaker 1: two percent to nineteen percent. And this whole topic gets 529 00:29:50,240 --> 00:29:53,240 Speaker 1: so much more like dark and grounded when you know 530 00:29:53,280 --> 00:29:55,520 Speaker 1: that three hundred and twenty trans people were killed last 531 00:29:55,600 --> 00:29:59,080 Speaker 1: year according to data from the annual Trans Murder Monitoring Report, 532 00:29:59,440 --> 00:30:01,840 Speaker 1: which is like, it's so dark that we even have 533 00:30:01,960 --> 00:30:04,959 Speaker 1: something called the Trans Murder Monitoring Report. 534 00:30:05,480 --> 00:30:07,760 Speaker 3: Also, we need to mention this because I don't think 535 00:30:07,800 --> 00:30:10,680 Speaker 3: people this is really badly understood people who aren't trans. 536 00:30:10,680 --> 00:30:14,120 Speaker 3: But those numbers are always significant undercounts, because yes, those 537 00:30:14,160 --> 00:30:16,960 Speaker 3: projects are people scraping. Basically, news reports are trying to 538 00:30:17,000 --> 00:30:19,520 Speaker 3: find like the families of victims, and there are a 539 00:30:19,600 --> 00:30:22,440 Speaker 3: lot of people who get killed who the only people 540 00:30:22,440 --> 00:30:24,400 Speaker 3: who know are their friends and those people fucking either 541 00:30:24,440 --> 00:30:26,760 Speaker 3: aren't talking to the press, or the precious never like 542 00:30:27,280 --> 00:30:29,760 Speaker 3: covers it, or you know, the police give their dead 543 00:30:29,840 --> 00:30:32,040 Speaker 3: name and never talk about it, so they just are 544 00:30:32,120 --> 00:30:33,680 Speaker 3: dead and everyone thinks they're si. 545 00:30:34,280 --> 00:30:34,520 Speaker 2: Yep. 546 00:30:34,760 --> 00:30:37,560 Speaker 1: And just in the United States last year, thirty three 547 00:30:37,600 --> 00:30:39,640 Speaker 1: trans people were murdered, and again this is a vast 548 00:30:39,720 --> 00:30:42,760 Speaker 1: undercount like MIA said, Meanwhile, you have all these people 549 00:30:42,800 --> 00:30:45,440 Speaker 1: on the right who will talk about all of these 550 00:30:45,480 --> 00:30:49,200 Speaker 1: all these alleged mass shootings by alleged trans people, and 551 00:30:49,240 --> 00:30:51,320 Speaker 1: one of their favorite lines when they try to like 552 00:30:51,360 --> 00:30:55,400 Speaker 1: affirm that a shooter is actually trans is quote watch 553 00:30:55,440 --> 00:30:58,880 Speaker 1: how quickly this story will now disappear unquote, which is 554 00:30:58,960 --> 00:31:01,760 Speaker 1: just ironic for a few reasons. One, because that's how 555 00:31:01,880 --> 00:31:03,920 Speaker 1: news works, is that we move on to a new thing. 556 00:31:04,440 --> 00:31:08,600 Speaker 1: But also it'll probably disappear as well because they're not 557 00:31:08,680 --> 00:31:11,640 Speaker 1: actually trans, you know, when you're in the case of 558 00:31:11,680 --> 00:31:15,760 Speaker 1: the Uvaldi shooter, in the case of the megachurch shooter 559 00:31:15,880 --> 00:31:19,000 Speaker 1: from last year. Yeah, people move on. But also they're 560 00:31:19,000 --> 00:31:21,840 Speaker 1: not gonna keep harping on your weird conspiracy theory because 561 00:31:21,840 --> 00:31:24,720 Speaker 1: it's a weird conspiracy theory. It's not true even if 562 00:31:24,720 --> 00:31:26,800 Speaker 1: this is even if they were right, which they are not. 563 00:31:27,120 --> 00:31:29,880 Speaker 1: It also is just like, imagine in like nineteen twenty 564 00:31:30,000 --> 00:31:32,920 Speaker 1: or like, we have a problematic rise in left handed 565 00:31:32,960 --> 00:31:35,000 Speaker 1: mass shooters, so we're like, well, yeah, because there's more 566 00:31:35,080 --> 00:31:37,720 Speaker 1: left handed people, there's gonna be at least some level 567 00:31:37,720 --> 00:31:41,760 Speaker 1: of correlation statistically. Again, these people act like trans people 568 00:31:41,760 --> 00:31:44,040 Speaker 1: were only invented in twenty eighteen and are just like 569 00:31:44,080 --> 00:31:47,400 Speaker 1: slowly like recruiting in numbers, which, hey, you know, at 570 00:31:47,440 --> 00:31:49,880 Speaker 1: least we are kind of slowly recruiting. And like the 571 00:31:49,920 --> 00:31:52,840 Speaker 1: actual goal of this rhetoric, beyond just you know, altering 572 00:31:52,840 --> 00:31:56,680 Speaker 1: the fabric of reality, is to just encourage violence against 573 00:31:56,720 --> 00:31:59,480 Speaker 1: trans people. That is what they're doing. It's it's to 574 00:31:59,520 --> 00:32:02,040 Speaker 1: see trans people as a threat so that you feel 575 00:32:02,080 --> 00:32:05,320 Speaker 1: justified in doing violence against them. Just a few weeks ago, 576 00:32:05,680 --> 00:32:09,800 Speaker 1: a very popular gun YouTuber made this joke where they 577 00:32:09,800 --> 00:32:14,040 Speaker 1: were talking about, you know, getting ready to shoot a 578 00:32:14,040 --> 00:32:17,040 Speaker 1: te word and they stopped and they were like, oh, sorry, 579 00:32:17,080 --> 00:32:21,280 Speaker 1: I mean a school shooter. Wink wink. So like they're 580 00:32:21,280 --> 00:32:24,480 Speaker 1: trying to use school shooter to be a dog whistle 581 00:32:24,560 --> 00:32:27,360 Speaker 1: for trans people. This is all just to justify violence. 582 00:32:27,360 --> 00:32:30,280 Speaker 1: That's all this is doing, and to some degree it's working. 583 00:32:30,560 --> 00:32:33,360 Speaker 1: Just last week, a trans kid was assaulted in the 584 00:32:33,400 --> 00:32:37,440 Speaker 1: men's bathroom at school and reportedly one of their teeth exploded. 585 00:32:38,040 --> 00:32:40,720 Speaker 1: This was a trans girl who was using the men's 586 00:32:40,720 --> 00:32:43,400 Speaker 1: bathroom like all of these freaks want them to, and 587 00:32:43,440 --> 00:32:46,160 Speaker 1: she still got assaulted. I think it's super important when 588 00:32:46,160 --> 00:32:49,200 Speaker 1: talking about this sort of unreality propaganda is that like 589 00:32:49,960 --> 00:32:53,280 Speaker 1: these people like Limbs of TikTok and Miles Schong, they're 590 00:32:53,280 --> 00:32:56,800 Speaker 1: not just like falling further into a delusional conspiracy theory. 591 00:32:56,840 --> 00:32:59,360 Speaker 1: Same thing with Elon Musk, Right, it's easy. I think 592 00:32:59,360 --> 00:33:01,479 Speaker 1: it's easy to be like, oh, they just actually like 593 00:33:01,800 --> 00:33:06,760 Speaker 1: legitimately are like falling into this like conspiratorial delusion. And 594 00:33:07,360 --> 00:33:10,000 Speaker 1: it's not that. What it is is they are actually 595 00:33:10,120 --> 00:33:14,400 Speaker 1: intentionally crafting reality. It's not them like falling victim to 596 00:33:14,480 --> 00:33:18,040 Speaker 1: this like unfortunate delusion. They are choosing which a version 597 00:33:18,040 --> 00:33:20,240 Speaker 1: of reality to believe in because it's the one that 598 00:33:20,280 --> 00:33:23,280 Speaker 1: they want, and that's what they're doing, and they want 599 00:33:23,320 --> 00:33:25,960 Speaker 1: it to be a reality where more people feel comfortable 600 00:33:26,280 --> 00:33:29,720 Speaker 1: assaulting and killing trans People's that's the actual goal of 601 00:33:29,720 --> 00:33:30,720 Speaker 1: this propaganda. 602 00:33:30,960 --> 00:33:33,400 Speaker 3: We need to be very clear about this about what's 603 00:33:33,440 --> 00:33:36,000 Speaker 3: sort of happening here. Which is one of one of 604 00:33:36,040 --> 00:33:39,600 Speaker 3: the fastest ways to get a group of people to 605 00:33:39,600 --> 00:33:41,920 Speaker 3: commit a genocide is by convincing them that they are 606 00:33:41,960 --> 00:33:42,960 Speaker 3: all about to be killed. 607 00:33:43,120 --> 00:33:43,320 Speaker 2: Right. 608 00:33:43,680 --> 00:33:45,360 Speaker 3: This is one of the things behind this or behind 609 00:33:45,400 --> 00:33:47,760 Speaker 3: the Bosnian genocide. This is one of the things behind Rwanda. 610 00:33:48,560 --> 00:33:50,440 Speaker 3: Is if you can convince a lot of people that 611 00:33:50,480 --> 00:33:53,360 Speaker 3: their neighbors are about to fucking kill them. That's how 612 00:33:53,360 --> 00:33:55,320 Speaker 3: you get them to do the genocide, because the thing 613 00:33:55,320 --> 00:33:57,040 Speaker 3: that they believe is that like, oh, like this is 614 00:33:57,040 --> 00:33:58,959 Speaker 3: self defense, Like these people are about to kill us, 615 00:33:59,720 --> 00:34:02,400 Speaker 3: and that is the kind of reality tunnel being mobilized. 616 00:34:02,440 --> 00:34:06,640 Speaker 3: Here is a is it called genocide? And the other 617 00:34:06,720 --> 00:34:08,360 Speaker 3: side of this that I think is so grim is 618 00:34:08,400 --> 00:34:10,040 Speaker 3: that there used to be a time as a society 619 00:34:10,080 --> 00:34:13,120 Speaker 3: where you know, we attempted to explain why there are 620 00:34:13,160 --> 00:34:17,200 Speaker 3: mass shootings. Right, this is something that I remember living through, 621 00:34:17,239 --> 00:34:20,040 Speaker 3: Like if you go back to like twenty sixteen, two thousand, seventeen, 622 00:34:20,080 --> 00:34:23,200 Speaker 3: twenty fifteen, like we used to there used to be 623 00:34:23,200 --> 00:34:28,359 Speaker 3: people other than these just like genocidal fascists, attempting to 624 00:34:28,440 --> 00:34:33,360 Speaker 3: explain why why these shootings were happening. The actual data 625 00:34:33,400 --> 00:34:35,480 Speaker 3: on trans mass shooters and how few of them there 626 00:34:35,520 --> 00:34:38,920 Speaker 3: are is quietly devastating to a lot of the theories 627 00:34:38,960 --> 00:34:40,920 Speaker 3: that used to be sort of bandied about, Right. The 628 00:34:40,920 --> 00:34:43,320 Speaker 3: theories of this was about sort of objection, the theory 629 00:34:43,320 --> 00:34:46,279 Speaker 3: that this was about this, you know, like sort of 630 00:34:46,320 --> 00:34:49,080 Speaker 3: de industrialization and like the consequences that this has had 631 00:34:49,120 --> 00:34:50,200 Speaker 3: on people, and that there were you know, it was 632 00:34:50,239 --> 00:34:52,440 Speaker 3: this sort of like downward social mobility that was causing 633 00:34:52,440 --> 00:34:54,759 Speaker 3: this violence. Right, If any of that were true, there 634 00:34:54,760 --> 00:34:57,560 Speaker 3: would be a fucking million mass shooters, because again, the 635 00:34:57,960 --> 00:35:02,399 Speaker 3: transproverty rate is like it's a right's around thirty percent, right, 636 00:35:02,440 --> 00:35:03,880 Speaker 3: for the rest of the country it is like a 637 00:35:04,000 --> 00:35:06,520 Speaker 3: quarter as well, it's that quarter. It's like a third 638 00:35:06,719 --> 00:35:12,040 Speaker 3: of that much, right there should be if it was 639 00:35:12,160 --> 00:35:15,879 Speaker 3: just purely a product of like material conditions, there would 640 00:35:15,880 --> 00:35:18,480 Speaker 3: be a lot more transmitant shooters. But there aren't because again, 641 00:35:18,840 --> 00:35:21,360 Speaker 3: you know, the actual theory that fits this data and 642 00:35:21,440 --> 00:35:25,600 Speaker 3: fits also the behavior of all of these people, like 643 00:35:25,640 --> 00:35:27,560 Speaker 3: all of these sort of FasTIS trying to explain mass 644 00:35:27,560 --> 00:35:30,160 Speaker 3: shootings as being about trans people. The thing that it 645 00:35:30,200 --> 00:35:32,680 Speaker 3: fits is this is the theory that this is basically 646 00:35:32,760 --> 00:35:34,880 Speaker 3: the replacement of plan rallies. Right, we don't have we 647 00:35:34,920 --> 00:35:38,880 Speaker 3: don't have collective lynchings anymore. We have individual ones. And 648 00:35:39,000 --> 00:35:41,240 Speaker 3: all of these fucking people are trying to make sure 649 00:35:41,360 --> 00:35:44,480 Speaker 3: that there's just more lynchings, and that these lynchings are 650 00:35:45,239 --> 00:35:47,400 Speaker 3: you know, is like it's there there sort of like 651 00:35:47,640 --> 00:35:50,239 Speaker 3: armed follower fanatics go and shoot a bunch more trans 652 00:35:50,280 --> 00:35:53,720 Speaker 3: people in a nightclub, and then you know, once that happens, 653 00:35:53,760 --> 00:35:56,040 Speaker 3: they will disavow it by saying, oh, hey, this this 654 00:35:56,280 --> 00:35:59,520 Speaker 3: nightclub shooting was this is actually done by a fucking transperson. 655 00:35:59,560 --> 00:36:02,360 Speaker 3: They'll keep doing this until they have enough political power 656 00:36:02,400 --> 00:36:04,520 Speaker 3: to openly come out and claim that all of these 657 00:36:04,560 --> 00:36:08,400 Speaker 3: people were their fucking revolutionary heroes in their new fucking 658 00:36:08,520 --> 00:36:09,839 Speaker 3: pantheon of the fascist state. 659 00:36:10,440 --> 00:36:12,400 Speaker 1: And there was that trans boy who was assaulted in 660 00:36:12,560 --> 00:36:15,680 Speaker 1: the bathroom a few months ago and died days later 661 00:36:15,719 --> 00:36:19,520 Speaker 1: in the hospital. There's this this It keeps happening. And 662 00:36:19,320 --> 00:36:21,920 Speaker 1: I didn't want this to be like a depressing episode. 663 00:36:21,960 --> 00:36:25,000 Speaker 1: I wanted this to break down a conspiracy theory I've 664 00:36:25,000 --> 00:36:28,000 Speaker 1: been seeing more frequently talk about, you know what's fueling it, 665 00:36:28,239 --> 00:36:30,839 Speaker 1: actually go over the instances that are included in it 666 00:36:31,120 --> 00:36:34,520 Speaker 1: to kind of you know, debunk for lack of a 667 00:36:34,520 --> 00:36:37,840 Speaker 1: better term, uh, this sort of rhetoric, and just so 668 00:36:37,920 --> 00:36:39,719 Speaker 1: you can be more aware of it when you see it, 669 00:36:39,760 --> 00:36:43,040 Speaker 1: because often you'll see this this you know, this meme 670 00:36:43,160 --> 00:36:46,960 Speaker 1: with five five pictures, you'll see a copy pasta version 671 00:36:46,960 --> 00:36:51,120 Speaker 1: of it. So just just being aware of what this is, 672 00:36:51,200 --> 00:36:54,000 Speaker 1: what the what this rhetoric is trying to do, and 673 00:36:54,120 --> 00:36:58,400 Speaker 1: the you know, unfortunate fact that trans people are far 674 00:36:58,640 --> 00:37:01,400 Speaker 1: are far far more likely to be a victim of 675 00:37:01,400 --> 00:37:05,320 Speaker 1: gun violence and mash and mass shootings, yeah than people 676 00:37:05,560 --> 00:37:09,680 Speaker 1: than they ever then than sis people, and are actually 677 00:37:09,719 --> 00:37:14,120 Speaker 1: less likely to to to participate in such violence statistically speaking. 678 00:37:14,560 --> 00:37:17,160 Speaker 1: So yeah, that is that is the episode today. Not 679 00:37:17,200 --> 00:37:19,400 Speaker 1: meant to be depressing, just meant to be informative. But 680 00:37:19,520 --> 00:37:22,600 Speaker 1: you know, when it comes to me, those things often overlap. 681 00:37:23,640 --> 00:37:26,000 Speaker 1: But these such cases, I hope you have I hope 682 00:37:26,040 --> 00:37:29,520 Speaker 1: you have a good pride. Mounth Stay safe and stay dangerous. 683 00:37:35,160 --> 00:37:37,520 Speaker 3: It could Happen here as a production of cool Zone Media. 684 00:37:37,719 --> 00:37:38,920 Speaker 3: For more podcasts from. 685 00:37:38,760 --> 00:37:41,760 Speaker 1: Cool Zone Media, visit our website cool zonemedia dot com, 686 00:37:41,960 --> 00:37:44,600 Speaker 1: check us out on the iHeartRadio app, Apple Podcasts, or 687 00:37:44,640 --> 00:37:47,480 Speaker 1: wherever you listen to podcasts. You can find sources for 688 00:37:47,520 --> 00:37:50,560 Speaker 1: It could Happen here, updated monthly at cool zonemedia dot 689 00:37:50,560 --> 00:37:52,760 Speaker 1: com slash sources. Thanks for listening.