1 00:00:03,720 --> 00:00:07,800 Speaker 1: Rat soup Eden honkin motherfucker, Hello the Internet, and welcome 2 00:00:07,920 --> 00:00:11,400 Speaker 1: to the Daily Zake Guys for Tuesday, October Night, two 3 00:00:11,400 --> 00:00:16,599 Speaker 1: thousand and seventeen. My name is Jack O'Brien. It's October tenth. 4 00:00:16,960 --> 00:00:19,560 Speaker 1: I'm joined as always by my co host, Mr Miles Gray. 5 00:00:19,640 --> 00:00:22,079 Speaker 1: Thank you. Contrary to popular belief, I am not a 6 00:00:22,200 --> 00:00:24,840 Speaker 1: Russian backed propaganda account, So I just want to set 7 00:00:24,840 --> 00:00:28,000 Speaker 1: the record straight on that. Yeah. Uh, we we did 8 00:00:28,040 --> 00:00:30,840 Speaker 1: deep background on that. It is true. And we are 9 00:00:30,920 --> 00:00:35,720 Speaker 1: joined in our third seat by the hilarious Jamie Loftus. 10 00:00:35,720 --> 00:00:38,720 Speaker 1: How are you, Jamie? Hello, I'm good good, all right, 11 00:00:38,840 --> 00:00:42,040 Speaker 1: So Eric, quick getting to know you session. What is 12 00:00:42,640 --> 00:00:46,360 Speaker 1: the strangest thing in your search history? Oh, recently is 13 00:00:46,440 --> 00:00:50,600 Speaker 1: twerking Mummy working Mummy. Yeah, it's I already knew what 14 00:00:50,640 --> 00:00:52,159 Speaker 1: it was, but I wanted to see if there are 15 00:00:52,240 --> 00:00:55,000 Speaker 1: videos of it. It's like this novelty toy at CVS 16 00:00:55,160 --> 00:00:58,640 Speaker 1: right now with a little mummy and it's and it 17 00:00:58,720 --> 00:01:00,800 Speaker 1: plays a song and then his but shakes and he 18 00:01:00,880 --> 00:01:03,760 Speaker 1: smiles and he wear sunglasses. And I've come so close 19 00:01:03,800 --> 00:01:06,040 Speaker 1: to bout like I was in CVS last week, like 20 00:01:06,120 --> 00:01:08,080 Speaker 1: literally buying Plan B. I'm like I can't get plan 21 00:01:08,200 --> 00:01:10,760 Speaker 1: B and Tworking Mummy and have that be the purchase. 22 00:01:11,240 --> 00:01:13,920 Speaker 1: But yeah, that would look crazy, I've got like it 23 00:01:13,920 --> 00:01:16,080 Speaker 1: would it would imply that the two were related in 24 00:01:16,120 --> 00:01:20,280 Speaker 1: some way. But I do want. I'm gonna wait till 25 00:01:20,280 --> 00:01:22,959 Speaker 1: like November one. I'm gonna be at CVS. First thing. 26 00:01:22,959 --> 00:01:29,160 Speaker 1: I'm gonna get Tworking Mommy, the one century big mouth 27 00:01:29,160 --> 00:01:32,320 Speaker 1: billy bess or what kind of fish that's sang on 28 00:01:32,360 --> 00:01:34,200 Speaker 1: the wall. Why is everything kind of like like sort 29 00:01:34,240 --> 00:01:36,840 Speaker 1: of reinforce these stereotypes, right, like big mouth billy bads, 30 00:01:36,880 --> 00:01:39,480 Speaker 1: like sort of like a country like singing fisherman. Sorry, 31 00:01:39,520 --> 00:01:43,240 Speaker 1: like mummies are like African and they're twerking. I hadn't 32 00:01:43,280 --> 00:01:47,360 Speaker 1: kind of problematic pas that one. Wow, I'm still trying 33 00:01:47,360 --> 00:01:49,920 Speaker 1: to get tworking money, and of course you should have. 34 00:01:50,000 --> 00:01:52,160 Speaker 1: I have to not. I won't buy it at full price. 35 00:01:52,200 --> 00:01:53,880 Speaker 1: I don't know what that means. That probably says more 36 00:01:53,960 --> 00:01:56,639 Speaker 1: about me than it says anything about its work. Alright, 37 00:01:56,680 --> 00:02:01,000 Speaker 1: One overrated thing, one underrated thing, Jamie over rated blade 38 00:02:01,080 --> 00:02:04,520 Speaker 1: Runner slash Harrison Ford. I know every man hates me. 39 00:02:06,200 --> 00:02:10,000 Speaker 1: Uh yeah, I did actually see that the demographic breakdown 40 00:02:10,080 --> 00:02:12,880 Speaker 1: of the you know, I thought they were saying it 41 00:02:12,919 --> 00:02:15,360 Speaker 1: was like I didn't do well. It made thirty million dollars, 42 00:02:15,440 --> 00:02:17,920 Speaker 1: which I think is a lot for a Blade Runner sequel. 43 00:02:18,440 --> 00:02:20,440 Speaker 1: I mean, but their break even is like one seventy 44 00:02:20,520 --> 00:02:24,960 Speaker 1: or something. But yeah, it was like seventy eight percent. Mail. 45 00:02:26,320 --> 00:02:28,560 Speaker 1: I know, like you you look at the poster, You're like, 46 00:02:28,639 --> 00:02:30,519 Speaker 1: there's no way this movie passes the back one test. 47 00:02:30,520 --> 00:02:33,320 Speaker 1: There in no way this movie is progressive for literally anyone. 48 00:02:33,639 --> 00:02:38,680 Speaker 1: But I mean, I've especially dislike the first Blade Runner 49 00:02:38,760 --> 00:02:42,600 Speaker 1: movie and all Harrison Ford characters, like most of his 50 00:02:42,680 --> 00:02:45,800 Speaker 1: popular characters. I watched this really cool video essay recently 51 00:02:45,840 --> 00:02:49,600 Speaker 1: about how he's just like really good at playing predatory characters. 52 00:02:49,680 --> 00:02:52,400 Speaker 1: There's like you can make a twenty minute montage of 53 00:02:52,440 --> 00:02:55,440 Speaker 1: like Han Solo, Indiana Jones whatever. The guy in Blade 54 00:02:55,480 --> 00:03:01,040 Speaker 1: Runners name is Steve, who knows it's blade There's Mr 55 00:03:01,080 --> 00:03:05,320 Speaker 1: blade Um like making unwanted advances on women and having 56 00:03:05,360 --> 00:03:07,720 Speaker 1: it be like look at this cool guy. Like there's 57 00:03:07,760 --> 00:03:11,800 Speaker 1: a rape scene and Blade Runner scored to saxophone music. 58 00:03:11,840 --> 00:03:15,720 Speaker 1: You're just like, this is this is gross um solo 59 00:03:17,120 --> 00:03:21,880 Speaker 1: Han Solo predator seduction scene. We'll call it is just 60 00:03:21,960 --> 00:03:24,200 Speaker 1: her being like I don't want to kiss you, and 61 00:03:24,280 --> 00:03:26,960 Speaker 1: him like pressing her up against a wall and you 62 00:03:27,000 --> 00:03:31,080 Speaker 1: can't go anywhere. There's like she says no eleven times 63 00:03:31,280 --> 00:03:34,160 Speaker 1: before and uh. And then at the end of Indiana Jones, 64 00:03:34,160 --> 00:03:36,520 Speaker 1: where the one of the female leads was like, I'm 65 00:03:36,560 --> 00:03:39,480 Speaker 1: actually like I'm done with this. I'm gonna go and 66 00:03:39,480 --> 00:03:41,120 Speaker 1: get on a bus and go somewhere else. And then 67 00:03:41,160 --> 00:03:44,120 Speaker 1: he's like not, no way, a bitch, and then he 68 00:03:44,240 --> 00:03:47,400 Speaker 1: like ropes her, like literally ropes her, pulls her back 69 00:03:47,440 --> 00:03:50,440 Speaker 1: to him and starts making out with her, and everyone's like, whoo, 70 00:03:50,520 --> 00:03:57,280 Speaker 1: he got her. She's I don't realize how much Harrison 71 00:03:57,320 --> 00:03:59,440 Speaker 1: Ford has messed me up in my relationships. That's the 72 00:03:59,520 --> 00:04:01,040 Speaker 1: end of the movie. Me. It's like, oh yeah, I'm 73 00:04:01,040 --> 00:04:02,560 Speaker 1: going to capture you with a rope and now you're 74 00:04:02,560 --> 00:04:06,280 Speaker 1: my girlfriend. Not that I'm roping people in. Another thing 75 00:04:06,280 --> 00:04:07,960 Speaker 1: I'm trying to say is like the first time, like 76 00:04:08,120 --> 00:04:10,240 Speaker 1: someone tells me they love me, like he taught me, 77 00:04:10,280 --> 00:04:11,720 Speaker 1: you don't have to say I love you back, because 78 00:04:11,760 --> 00:04:14,600 Speaker 1: she's like I love you. He's like, I know, I know. 79 00:04:14,800 --> 00:04:17,120 Speaker 1: I'm just like now my dad, He's like, I love you, Mas, 80 00:04:17,120 --> 00:04:20,760 Speaker 1: I'm like, no, I'm blame Harrison Ford from my intimacy issues. 81 00:04:21,560 --> 00:04:23,680 Speaker 1: Harrison Ford, like I don't. I don't know anything about 82 00:04:23,720 --> 00:04:26,240 Speaker 1: his personal life. But toxic mal Icon not a not 83 00:04:26,279 --> 00:04:30,520 Speaker 1: a fan? Okay, underrated? Underrated? The four for four special 84 00:04:30,520 --> 00:04:33,800 Speaker 1: at Wendy's. What is the four for four special? One, dude, 85 00:04:33,920 --> 00:04:36,839 Speaker 1: best fast food deal in the game right now? I 86 00:04:36,880 --> 00:04:39,320 Speaker 1: don't know because I used to be a big advocate 87 00:04:39,320 --> 00:04:41,240 Speaker 1: of the mick pick two for to fifty, which is 88 00:04:41,279 --> 00:04:42,880 Speaker 1: you can get to Mike Chickens, and you're like, well, 89 00:04:42,920 --> 00:04:45,719 Speaker 1: this rules. But the four for four at Wendy's. You 90 00:04:45,880 --> 00:04:50,320 Speaker 1: get a junior bacon cheeseburger, you get small nuggets, you 91 00:04:50,360 --> 00:04:53,320 Speaker 1: get small fries, and you get a medium drink. It's 92 00:04:53,320 --> 00:04:56,960 Speaker 1: a great deal. I had it just yesterday. How many 93 00:04:56,960 --> 00:04:58,560 Speaker 1: times have you had it this week or in the 94 00:04:58,600 --> 00:05:00,839 Speaker 1: last I don't live close enough to away Indy's, so 95 00:05:00,880 --> 00:05:03,760 Speaker 1: it's like a treat. You're in the right area. And 96 00:05:03,760 --> 00:05:06,000 Speaker 1: then like my friend and I parked and we're like, 97 00:05:06,000 --> 00:05:08,200 Speaker 1: we can't wait to get to a second location. We 98 00:05:08,240 --> 00:05:09,800 Speaker 1: have to eat it in the parking lot. So in 99 00:05:09,839 --> 00:05:13,400 Speaker 1: the parking lot, we're staring at billboard for Young Sheldon. 100 00:05:13,480 --> 00:05:16,800 Speaker 1: It was like the darkest timeline, but it was great. 101 00:05:16,920 --> 00:05:19,000 Speaker 1: It was a great deal, the best way to use 102 00:05:19,040 --> 00:05:21,280 Speaker 1: four dollars. And just this other record, Shay, you were 103 00:05:21,320 --> 00:05:24,200 Speaker 1: not sponsored by Wendy's in anyway. This is you coming 104 00:05:24,200 --> 00:05:27,080 Speaker 1: out an independent consumer. But it was like, I'm currently 105 00:05:27,120 --> 00:05:30,000 Speaker 1: dressed in a Wendy. I didn't want to call you, 106 00:05:30,120 --> 00:05:31,880 Speaker 1: call that out, but yet no, no, no, no, I 107 00:05:31,960 --> 00:05:34,559 Speaker 1: just love I love food. That's bad. I will openly 108 00:05:34,600 --> 00:05:37,200 Speaker 1: acknowledge it's bad. I eat the sushi from seven eleven 109 00:05:37,200 --> 00:05:39,320 Speaker 1: and it's bad, but I love it. You should start 110 00:05:39,320 --> 00:05:45,440 Speaker 1: a podcast about your crazy eating behavior. Stomach goat, stomach. 111 00:05:45,560 --> 00:05:49,240 Speaker 1: James also wearing a Chuck E Cheese like teacher with 112 00:05:49,279 --> 00:05:52,159 Speaker 1: the evolution of the Chucky Cheese mascot. All right, guys, 113 00:05:52,240 --> 00:05:56,760 Speaker 1: let's get into our too sort of top stories. So 114 00:05:56,800 --> 00:06:04,080 Speaker 1: there's this dove head um boy that is at best confusing. UM, 115 00:06:04,839 --> 00:06:11,680 Speaker 1: but it seems really like wildly aggressively racist. Um if 116 00:06:11,720 --> 00:06:15,080 Speaker 1: you if you haven't seen it, UM, I've heard that 117 00:06:15,160 --> 00:06:17,160 Speaker 1: it's a video, but the versions of it that I've 118 00:06:17,200 --> 00:06:20,839 Speaker 1: seen so far are it's like a four panel, four pictures. 119 00:06:21,360 --> 00:06:26,000 Speaker 1: First picture is a black woman, then wearing a brown shirt. 120 00:06:26,200 --> 00:06:28,440 Speaker 1: The black one. In the second picture, she's like taking 121 00:06:28,480 --> 00:06:32,400 Speaker 1: her shirt off. In the third picture it's the shirt 122 00:06:32,520 --> 00:06:35,440 Speaker 1: is like off and it's revealing a white body. And 123 00:06:35,520 --> 00:06:38,520 Speaker 1: then the final picture it's like, ah, it was a 124 00:06:38,560 --> 00:06:42,000 Speaker 1: white person underneath the black person all along. There's no 125 00:06:42,160 --> 00:06:44,599 Speaker 1: video available of it though I haven't seen it was 126 00:06:44,640 --> 00:06:46,840 Speaker 1: taken down, but they are saying that it actually came 127 00:06:46,880 --> 00:06:49,080 Speaker 1: from a three second video clip. And I think the 128 00:06:49,200 --> 00:06:55,440 Speaker 1: last level was her becoming another non Caucasian but like female. 129 00:06:55,520 --> 00:06:57,200 Speaker 1: At the end, I was like, is that the only time? 130 00:06:57,240 --> 00:06:59,840 Speaker 1: Because it would be extra disturbing if that's the only 131 00:06:59,839 --> 00:07:02,480 Speaker 1: time and that happens. But is it a weird infinite 132 00:07:02,720 --> 00:07:05,119 Speaker 1: I don't know, right, like the black and White video 133 00:07:05,320 --> 00:07:08,320 Speaker 1: and Michael Jackson's black and white video. But I mean 134 00:07:08,320 --> 00:07:09,920 Speaker 1: you could shake your hair out and turn into like 135 00:07:09,960 --> 00:07:14,560 Speaker 1: a anything you wanted, making guy right. So so she 136 00:07:14,760 --> 00:07:18,800 Speaker 1: the white woman does turn into a final form. As 137 00:07:18,840 --> 00:07:23,920 Speaker 1: we say in the okay Pokemon community, got it, It 138 00:07:24,040 --> 00:07:27,920 Speaker 1: is still like to have a black woman in brown 139 00:07:27,960 --> 00:07:32,120 Speaker 1: turn into a white woman in white is problematic for 140 00:07:32,480 --> 00:07:36,320 Speaker 1: like what when you look back at soap eds throughout 141 00:07:36,360 --> 00:07:40,720 Speaker 1: the early twentieth century and late nineteenth century, you have 142 00:07:41,320 --> 00:07:44,640 Speaker 1: like ads where a black baby is washed and turns 143 00:07:44,640 --> 00:07:48,760 Speaker 1: out to be white underneath. Um. You. And then there's 144 00:07:48,880 --> 00:07:52,520 Speaker 1: also just like if you look at soap ads in India, 145 00:07:53,000 --> 00:07:57,040 Speaker 1: India has a whole bunch of things for like skin lightning. 146 00:07:57,160 --> 00:08:00,680 Speaker 1: And there there's been a controversy with Laura Reale when 147 00:08:00,680 --> 00:08:05,000 Speaker 1: they brought Beyonce on as like their spokesmodel. Uh, they 148 00:08:05,040 --> 00:08:08,960 Speaker 1: really whitened her up, Like the picture of her doesn't 149 00:08:09,000 --> 00:08:14,160 Speaker 1: really look like Beyonce, like a white woman. Um so yeah, 150 00:08:14,440 --> 00:08:19,080 Speaker 1: it's just it's part of a sort of ongoing conversation 151 00:08:19,160 --> 00:08:22,400 Speaker 1: with the with the beauty ads or with the beauty industry. 152 00:08:22,760 --> 00:08:28,000 Speaker 1: Um and Dove in particular has this lotion. Uh it's 153 00:08:28,040 --> 00:08:32,680 Speaker 1: called Dove Summer Glow Nourishing Lotion. And when you look 154 00:08:32,720 --> 00:08:36,800 Speaker 1: on the bottle at who it's for, it says normal 155 00:08:37,120 --> 00:08:41,880 Speaker 1: to dark skin. Why can't they just say anyone can 156 00:08:42,000 --> 00:08:46,440 Speaker 1: use this like it's and it's especially from Dove, who 157 00:08:46,559 --> 00:08:49,559 Speaker 1: they're like constantly giving themselves, like patting themselves on the 158 00:08:49,600 --> 00:08:52,920 Speaker 1: back for how open and accepting they are of all women. 159 00:08:53,000 --> 00:08:56,120 Speaker 1: Like that's just especially like come on, you know, if 160 00:08:56,120 --> 00:08:59,640 Speaker 1: you're if you're touting yourself as the company that gets 161 00:08:59,640 --> 00:09:03,480 Speaker 1: it and actually attempt to get it. Well. It also 162 00:09:03,600 --> 00:09:05,640 Speaker 1: just shows you, like what's going on these ad agencies 163 00:09:05,679 --> 00:09:07,480 Speaker 1: where they're like putting it together like yeah, that looks 164 00:09:07,480 --> 00:09:10,120 Speaker 1: good to me, let's go with it. Like no, you 165 00:09:10,160 --> 00:09:12,720 Speaker 1: think someone might have spoken up to be like, hey, 166 00:09:13,000 --> 00:09:15,600 Speaker 1: is it a little weird that the black woman transforms 167 00:09:15,600 --> 00:09:18,280 Speaker 1: to a white woman? And then okay, well anyway, I 168 00:09:18,320 --> 00:09:21,600 Speaker 1: guess we'll just will air that. Yeah, And Dove really, 169 00:09:21,720 --> 00:09:25,640 Speaker 1: I mean there's something even pretty obnoxious about their like 170 00:09:25,760 --> 00:09:28,280 Speaker 1: woke ads when they're trying to be awoke and their 171 00:09:28,480 --> 00:09:32,680 Speaker 1: beauty is only skin deep or whatever, because ultimately they're 172 00:09:32,679 --> 00:09:36,240 Speaker 1: trying to sell you soap and you know, it's still 173 00:09:36,440 --> 00:09:38,880 Speaker 1: I don't know. And it's the same thing with always 174 00:09:38,960 --> 00:09:41,960 Speaker 1: in there like fight like a girl thing, where it's 175 00:09:41,960 --> 00:09:44,920 Speaker 1: it's like I see, yeah, I don't know, a modified 176 00:09:45,559 --> 00:09:51,719 Speaker 1: like yeah, yeah, just piggybacking on feminism in order to 177 00:09:51,760 --> 00:09:54,480 Speaker 1: sell stuff. Yeah, there's this really dark dove Head where 178 00:09:54,520 --> 00:09:58,800 Speaker 1: they had women describe what they thought they looked like 179 00:09:59,080 --> 00:10:02,440 Speaker 1: to a uh, sketch artists, a sketch artist, and then 180 00:10:02,480 --> 00:10:05,280 Speaker 1: like the drawings were like ugly and then they were like, 181 00:10:05,400 --> 00:10:08,520 Speaker 1: now look what you actually look like or something, and 182 00:10:08,840 --> 00:10:10,800 Speaker 1: the women were like, oh my gosh, I really do 183 00:10:11,120 --> 00:10:14,560 Speaker 1: have a horrible self image and like anyways, by soap 184 00:10:15,800 --> 00:10:23,560 Speaker 1: what um to get that dirty feeling away? Another unsuccessful 185 00:10:23,640 --> 00:10:29,080 Speaker 1: marketing campaign going on right now is uh where I 186 00:10:29,080 --> 00:10:31,360 Speaker 1: guess it was more going on two thousand and sixteen. 187 00:10:31,480 --> 00:10:37,439 Speaker 1: So uh as all these different uh tendrils of Russia's 188 00:10:38,200 --> 00:10:43,400 Speaker 1: pro Trump, anti Hillary marketing campaign are being revealed from 189 00:10:43,440 --> 00:10:46,560 Speaker 1: the two thousand sixteen election. I mean, Facebook has just 190 00:10:46,600 --> 00:10:50,440 Speaker 1: revealed some I think even Yahoo was getting some some spend, 191 00:10:50,480 --> 00:10:54,439 Speaker 1: which is crazy. But Google Ads got a big spend 192 00:10:54,600 --> 00:10:59,520 Speaker 1: and we have this YouTube campaign. Um so, Miles, can 193 00:10:59,559 --> 00:11:02,320 Speaker 1: you explain what was going on? Yeah? So in the 194 00:11:02,400 --> 00:11:06,280 Speaker 1: Daily Beast, uh, they kind of confirmed what some people 195 00:11:06,640 --> 00:11:10,560 Speaker 1: looking at Russian managed accounts we're kind of talking about. 196 00:11:10,600 --> 00:11:12,800 Speaker 1: There was a YouTube page and a Facebook page for 197 00:11:12,840 --> 00:11:17,280 Speaker 1: Williams and Calvin Who are these YouTube stars and diehard 198 00:11:17,320 --> 00:11:20,760 Speaker 1: Donald Trump supporters and crazy anti Hillary, uh, you know, 199 00:11:20,960 --> 00:11:25,319 Speaker 1: rhetoric spiters um that claimed they're from Atlanta. Um. But 200 00:11:25,920 --> 00:11:29,280 Speaker 1: as the investigation became a little more solidified and they 201 00:11:29,320 --> 00:11:31,920 Speaker 1: looked into it, it turns out that this was actually 202 00:11:32,120 --> 00:11:36,079 Speaker 1: a Russian backed propaganda account. Um, And I mean, I 203 00:11:36,120 --> 00:11:38,240 Speaker 1: guess we can just play a clip they're saying they're 204 00:11:38,280 --> 00:11:43,560 Speaker 1: from Atlanta. Just black dudes from Atlanta, according to them, 205 00:11:44,120 --> 00:11:48,600 Speaker 1: just kind of talking US politics. Just two brothers from Atlanta, Atlanta, 206 00:11:48,640 --> 00:11:52,360 Speaker 1: Georgia Beanie that says Vogue on it right. Yeah, just 207 00:11:52,400 --> 00:11:54,040 Speaker 1: to give you a kind of a sample of of 208 00:11:54,080 --> 00:11:56,400 Speaker 1: what they were kind of talking about on this account. Hi, 209 00:11:58,120 --> 00:12:00,400 Speaker 1: today's going to be one of the wharfs and in 210 00:12:00,440 --> 00:12:03,440 Speaker 1: America and we have one of the worst candidates, and 211 00:12:03,480 --> 00:12:07,000 Speaker 1: the candidates is Clinton. Most of the black people in 212 00:12:07,040 --> 00:12:09,160 Speaker 1: America thinks that Hilary is the one who's going to 213 00:12:09,240 --> 00:12:11,520 Speaker 1: protect them and he is the one who is going 214 00:12:11,559 --> 00:12:14,719 Speaker 1: to fight for them. But hello, Lara Clinton is one 215 00:12:14,760 --> 00:12:17,520 Speaker 1: of the deaths. Is liar. All she wants is power. 216 00:12:17,840 --> 00:12:20,600 Speaker 1: All she wants is to luluver America. She doesn't care 217 00:12:20,679 --> 00:12:23,520 Speaker 1: about any of Hilary is being found by the Muslim 218 00:12:23,679 --> 00:12:26,120 Speaker 1: and she's going to stand for the Muslim. You know, 219 00:12:26,360 --> 00:12:31,720 Speaker 1: this woman is very, very deadly, and she's she's an 220 00:12:31,760 --> 00:12:37,520 Speaker 1: old witch. She's the old witch. Yeah. So it turns out, 221 00:12:37,800 --> 00:12:39,600 Speaker 1: I mean, again, there's a couple of guys from Atlanta 222 00:12:39,640 --> 00:12:42,600 Speaker 1: there's a couple of guys from Atlanta, Nigeria. You know. 223 00:12:43,160 --> 00:12:45,320 Speaker 1: It's what's funny is like on their people found their 224 00:12:45,320 --> 00:12:48,760 Speaker 1: other accounts, like they're they're saying they're from Nigeria. Uh. 225 00:12:48,800 --> 00:12:51,400 Speaker 1: But yes, this is another example, I guess. I mean, 226 00:12:51,400 --> 00:12:53,360 Speaker 1: this is kind of a big thing because now it's 227 00:12:53,400 --> 00:12:56,040 Speaker 1: gone from just sort of like faceless accounts to like 228 00:12:56,160 --> 00:12:59,880 Speaker 1: real life actors trying to push this like really, are 229 00:13:00,000 --> 00:13:04,160 Speaker 1: I see of anti Hillary pro Trump agenda. It's funny 230 00:13:04,160 --> 00:13:07,640 Speaker 1: because they don't mention Trump because the way they describe 231 00:13:07,720 --> 00:13:09,880 Speaker 1: Hillary could be so easily applied to him too, if 232 00:13:09,920 --> 00:13:12,320 Speaker 1: like he just wants to own the world, he doesn't 233 00:13:12,360 --> 00:13:14,520 Speaker 1: care about anyone. I'm like, oh, isn't that you know, 234 00:13:14,679 --> 00:13:16,840 Speaker 1: well they do like they do big Trump, they do 235 00:13:16,920 --> 00:13:18,720 Speaker 1: big up Trump, and they're like he can't beat it. 236 00:13:18,720 --> 00:13:21,720 Speaker 1: It's just because he's a businessman. Like that was like 237 00:13:24,160 --> 00:13:28,480 Speaker 1: yeah right, so yeah, this is uh again, I mean 238 00:13:29,040 --> 00:13:31,160 Speaker 1: it sort of shows like how deep this uh, this 239 00:13:31,360 --> 00:13:34,520 Speaker 1: Russia influence campaign goes. I mean, but to be fair, 240 00:13:34,600 --> 00:13:36,800 Speaker 1: like nobody was really checking for this, Like this was 241 00:13:36,840 --> 00:13:40,679 Speaker 1: definitely I think, kind of a goose egg for Russia. 242 00:13:40,760 --> 00:13:42,800 Speaker 1: But it just shows you, like Yeah, how far they're 243 00:13:42,800 --> 00:13:45,040 Speaker 1: willing to go, even prop up like fake s YouTube 244 00:13:45,040 --> 00:13:48,000 Speaker 1: accounts with like you know and no nobody, nobody, I 245 00:13:48,040 --> 00:13:50,480 Speaker 1: don't know anyone who would probably watched that and was like, 246 00:13:50,520 --> 00:13:54,920 Speaker 1: oh ship the old weach right. Yeah. I feel like 247 00:13:54,960 --> 00:13:58,760 Speaker 1: they tried thirty different things and a handful of them worked, right, 248 00:13:58,800 --> 00:14:00,960 Speaker 1: Like there wasn't there a face book group that was 249 00:14:01,000 --> 00:14:04,480 Speaker 1: actually successful? No, yeah exactly. I mean like they they've 250 00:14:04,480 --> 00:14:06,960 Speaker 1: they've had a few successes. Obviously, they had that black 251 00:14:07,000 --> 00:14:10,120 Speaker 1: Devist account that had more followers on Facebook than the 252 00:14:10,200 --> 00:14:12,839 Speaker 1: legit Black Lives Matter account, where they were just kind 253 00:14:12,840 --> 00:14:18,120 Speaker 1: of stoking the flames of racial tension. Um so yeah. 254 00:14:18,160 --> 00:14:20,320 Speaker 1: And but again even with that account, there were some 255 00:14:20,480 --> 00:14:22,440 Speaker 1: like some things that tipped you off that this might 256 00:14:22,480 --> 00:14:25,400 Speaker 1: not be Americans behind it. Uh And just like with 257 00:14:25,440 --> 00:14:27,560 Speaker 1: this account, I mean one of the things they thought 258 00:14:27,640 --> 00:14:29,760 Speaker 1: that Baton Rouge was in l A like as in 259 00:14:29,800 --> 00:14:34,400 Speaker 1: Los Angeles. Is that not true? Wait a second, who knows. 260 00:14:34,480 --> 00:14:36,840 Speaker 1: They're probably getting a script and they're seeing Baton Rouge 261 00:14:36,880 --> 00:14:39,680 Speaker 1: like Louisiana because Louisiana's l a on there and they're like, 262 00:14:41,240 --> 00:14:44,480 Speaker 1: rather than like this neighborhood, Baton Rouge in Louisiana and 263 00:14:44,560 --> 00:14:48,040 Speaker 1: then they called Lebron James the best basket player of 264 00:14:48,120 --> 00:14:51,000 Speaker 1: the year. So a couple of things, uh, you know, 265 00:14:51,080 --> 00:14:54,920 Speaker 1: don't don't quite check out, but you know Williams and Calvin. 266 00:14:55,560 --> 00:14:58,600 Speaker 1: But what's crazy is their account was up until I 267 00:14:58,640 --> 00:15:01,360 Speaker 1: think Monday morning, and then it finally got taken down 268 00:15:01,520 --> 00:15:04,840 Speaker 1: like after this article broke. So Google YouTube shout out 269 00:15:04,880 --> 00:15:08,520 Speaker 1: to you guys for not being on your ship. And 270 00:15:08,720 --> 00:15:12,600 Speaker 1: they they've specifically said we're taking this down because it's 271 00:15:12,680 --> 00:15:15,680 Speaker 1: a Russian backed propaganda. Well when you go to their articles, 272 00:15:15,680 --> 00:15:18,080 Speaker 1: it says like it's been you know, their accountant has 273 00:15:18,080 --> 00:15:21,560 Speaker 1: been associated with like one who violated their terms of service, 274 00:15:22,200 --> 00:15:24,240 Speaker 1: so it's been terminating. I don't know who terminated it, 275 00:15:24,280 --> 00:15:28,160 Speaker 1: but that's probably because I think there was a little 276 00:15:28,160 --> 00:15:30,720 Speaker 1: bit embarrassing for YouTube to now have this kind of 277 00:15:30,760 --> 00:15:32,960 Speaker 1: content on there. But I mean it's YouTube. There's a 278 00:15:33,000 --> 00:15:37,360 Speaker 1: bunch of shitty content, right, Yeah, it definitely wasn't. There's 279 00:15:37,360 --> 00:15:41,480 Speaker 1: a screenshot of her as the Wicked Witch of the West. Also, 280 00:15:41,520 --> 00:15:43,320 Speaker 1: like the clip art they use in their videos as 281 00:15:43,360 --> 00:15:47,440 Speaker 1: b roll is like so yeah, like first grade, like 282 00:15:47,520 --> 00:15:51,280 Speaker 1: using like Sony Vegas, like editing software. Like it's it's 283 00:15:51,280 --> 00:15:53,520 Speaker 1: pretty mush, but it's the same messaging that you see 284 00:15:53,520 --> 00:15:57,120 Speaker 1: in the more sophisticated campaigns, just filtered through. Yeah, a 285 00:15:57,200 --> 00:16:00,800 Speaker 1: second grader whoever they had in charge of this, But yeah, 286 00:16:00,880 --> 00:16:04,440 Speaker 1: it's all about making Hillary look bad to the black community, 287 00:16:04,520 --> 00:16:08,440 Speaker 1: trying to suppress voter turnout like on the day, and 288 00:16:08,480 --> 00:16:11,560 Speaker 1: clearly like Russia doesn't understand like black culture, because I 289 00:16:11,560 --> 00:16:13,600 Speaker 1: mean like they were trying to basically like blame, like 290 00:16:13,640 --> 00:16:17,600 Speaker 1: trying to say Obama's a legacy was police brutality. Okay, 291 00:16:17,600 --> 00:16:20,120 Speaker 1: come on now, I don't know where you got that. 292 00:16:20,800 --> 00:16:24,120 Speaker 1: But again, you know, nice trying Russia. They're also not 293 00:16:24,160 --> 00:16:27,520 Speaker 1: a very effective use of misogyny either. No, yeah, you're 294 00:16:27,520 --> 00:16:31,040 Speaker 1: gonna want to step up your misogyny game. Calling her 295 00:16:31,080 --> 00:16:34,040 Speaker 1: an old witch. Yeah, like there's a few waves behind 296 00:16:35,280 --> 00:16:37,800 Speaker 1: It was a rough translation from a Russian script. All Right, 297 00:16:37,840 --> 00:16:40,760 Speaker 1: we're gonna go to a quick break and when we 298 00:16:40,840 --> 00:16:43,480 Speaker 1: come back, we're going to get into our main story 299 00:16:44,320 --> 00:16:49,760 Speaker 1: about the Las Vegas shooting. And we're back from what 300 00:16:49,840 --> 00:16:53,280 Speaker 1: I think was probably an ad um. So our main 301 00:16:53,440 --> 00:16:57,680 Speaker 1: story that we wanted to talk about is the shooting 302 00:16:57,680 --> 00:17:00,440 Speaker 1: in Las Vegas, and just sort of this eight of 303 00:17:00,520 --> 00:17:05,480 Speaker 1: that story at this point. Um, I was traveling last 304 00:17:05,520 --> 00:17:11,320 Speaker 1: week and found myself like personally triggered by old, fat 305 00:17:11,320 --> 00:17:14,159 Speaker 1: white men, Like I was like nervous around them and 306 00:17:14,200 --> 00:17:18,400 Speaker 1: also kind of hostile towards them. Uh but which which 307 00:17:18,440 --> 00:17:23,400 Speaker 1: obviously isn't fair. But um, yeah, but that's that's where 308 00:17:23,480 --> 00:17:27,400 Speaker 1: I'm personally at. Not a great year for big, fat, 309 00:17:27,440 --> 00:17:30,840 Speaker 1: old white guys. Yeah, it's been been a tough years. 310 00:17:32,080 --> 00:17:36,560 Speaker 1: But the media's main focus right now seems to be, uh, 311 00:17:37,040 --> 00:17:42,040 Speaker 1: a sort of desperate, visceral need to find a motive. 312 00:17:42,280 --> 00:17:46,760 Speaker 1: Like they're just like why we can't figure out write 313 00:17:47,000 --> 00:17:50,119 Speaker 1: why this guy did this, and like they need to 314 00:17:50,240 --> 00:17:53,239 Speaker 1: attach this to some narrative. When you look back at 315 00:17:53,280 --> 00:17:57,600 Speaker 1: our history of mass shootings, we don't even usually get 316 00:17:57,640 --> 00:18:02,080 Speaker 1: the motive right. Like an in retrospect Columbine. I think 317 00:18:02,119 --> 00:18:05,600 Speaker 1: everybody thinks it was about the two guys were nerds 318 00:18:05,760 --> 00:18:08,880 Speaker 1: who were getting revenge on jocks who picked on them, 319 00:18:08,920 --> 00:18:13,400 Speaker 1: and I think it like sparked this whole anti bullying movement, 320 00:18:13,640 --> 00:18:19,240 Speaker 1: And that wasn't true at all. Uh, they weren't like bullied. 321 00:18:19,800 --> 00:18:23,320 Speaker 1: They one of the guys was just a genuine like 322 00:18:23,400 --> 00:18:27,560 Speaker 1: psychopath who just wanted to hurt and kill people. And 323 00:18:27,560 --> 00:18:30,160 Speaker 1: then the other one was just sort of peer pressured 324 00:18:30,160 --> 00:18:36,800 Speaker 1: into it. Um, the Austin Tower gunner, I think people 325 00:18:36,840 --> 00:18:39,040 Speaker 1: generally refer to that as like being a guy who 326 00:18:39,160 --> 00:18:43,000 Speaker 1: just like snapped under a bunch of pressure. Um, but 327 00:18:43,119 --> 00:18:47,480 Speaker 1: he was that That story is actually really interesting and uh, 328 00:18:47,520 --> 00:18:49,720 Speaker 1: I'm curious if this is what we're gonna find about 329 00:18:49,720 --> 00:18:53,280 Speaker 1: the Vegas one, because so he was just a normal guy. 330 00:18:53,840 --> 00:18:56,520 Speaker 1: He had a military background, which is I think how 331 00:18:56,560 --> 00:19:00,200 Speaker 1: he had access to guns, but he, uh, suddenly out 332 00:19:00,200 --> 00:19:04,000 Speaker 1: of the blue started he was just overtaken by this 333 00:19:04,200 --> 00:19:07,680 Speaker 1: urge to like hurt and kill people. And he was taught. 334 00:19:07,720 --> 00:19:09,920 Speaker 1: He would like say to his wife and the people 335 00:19:09,960 --> 00:19:12,239 Speaker 1: around him, he was like, I don't know why, like 336 00:19:12,320 --> 00:19:15,439 Speaker 1: this is I just really want to hurt and kill people, 337 00:19:15,520 --> 00:19:17,680 Speaker 1: and like you talked to a therapist and the therapist 338 00:19:17,760 --> 00:19:21,040 Speaker 1: was trying to help him, and uh, even when he 339 00:19:21,080 --> 00:19:23,480 Speaker 1: went to you know, shoot all these people, he left 340 00:19:23,480 --> 00:19:25,199 Speaker 1: a note being like, hey, could you please look at 341 00:19:25,200 --> 00:19:27,600 Speaker 1: my brain to figure out like why I'm doing this. 342 00:19:28,200 --> 00:19:31,639 Speaker 1: And they ended up finding a huge tumor that was 343 00:19:31,680 --> 00:19:38,200 Speaker 1: like affecting the area that causes aggression in human beings. Um, 344 00:19:38,600 --> 00:19:42,920 Speaker 1: but yeah, we we generally get that story wrong and 345 00:19:43,119 --> 00:19:45,919 Speaker 1: claim that it was like about some dude who was 346 00:19:46,000 --> 00:19:51,360 Speaker 1: like really tightly wound students or something. Yeah, this one, 347 00:19:51,400 --> 00:19:53,960 Speaker 1: the narrative seems to be we don't know what the 348 00:19:54,040 --> 00:19:57,359 Speaker 1: narrative is kind of um, which kind of causes people 349 00:19:57,359 --> 00:20:00,040 Speaker 1: to like freak out. I was like reading the this 350 00:20:00,160 --> 00:20:06,000 Speaker 1: old story um from from Pacific Standard about um, how 351 00:20:06,400 --> 00:20:08,719 Speaker 1: the human brain responds to narrative, and it's just like, 352 00:20:08,760 --> 00:20:11,760 Speaker 1: you know, our instinct to want to find a narrative 353 00:20:12,160 --> 00:20:16,000 Speaker 1: or any sort of rational now, especially in something terrible 354 00:20:16,200 --> 00:20:18,920 Speaker 1: that happens. And it's like when you get a sort 355 00:20:18,960 --> 00:20:22,080 Speaker 1: of narrative for something, it there's like a physical response 356 00:20:22,119 --> 00:20:25,400 Speaker 1: and you feel a little bit better, even if it's like, 357 00:20:25,880 --> 00:20:28,360 Speaker 1: you know, just receiving an answer why or something just 358 00:20:28,480 --> 00:20:34,080 Speaker 1: automatically physiologically makes you feel better, and not getting that 359 00:20:34,119 --> 00:20:38,720 Speaker 1: sort of narrative rationale is a negative physical response. Yeah. Right, Well, 360 00:20:38,800 --> 00:20:41,240 Speaker 1: especially with something so horrible is like a mass shooting, 361 00:20:41,480 --> 00:20:43,719 Speaker 1: it's so hard for people to process like why, like 362 00:20:44,280 --> 00:20:46,880 Speaker 1: especially with this, like it's so horrific. I mean, even 363 00:20:46,880 --> 00:20:50,639 Speaker 1: on my Facebook, I'm seeing people like clinging to some 364 00:20:50,840 --> 00:20:54,880 Speaker 1: really out there conspiratorial shit, I think, just for that 365 00:20:55,000 --> 00:20:57,560 Speaker 1: need to sort of make sense of why someone would 366 00:20:57,560 --> 00:21:00,560 Speaker 1: do something like this, and like they're people, I guess 367 00:21:00,560 --> 00:21:02,280 Speaker 1: it's easier for them to think that it's like a 368 00:21:02,320 --> 00:21:05,240 Speaker 1: Manchurian candidate type situation where this guy was like an 369 00:21:05,600 --> 00:21:08,520 Speaker 1: you know, some kind of puppet of like the state 370 00:21:08,600 --> 00:21:11,680 Speaker 1: to carry something out to distract the public. So yeah, 371 00:21:11,960 --> 00:21:15,720 Speaker 1: it we're definitely I think the thirst, the the need 372 00:21:15,840 --> 00:21:17,960 Speaker 1: to find like a reason to explain all of this 373 00:21:18,160 --> 00:21:21,040 Speaker 1: is very very intense, and it's it seems like we're 374 00:21:21,080 --> 00:21:23,320 Speaker 1: just kind of coming up empty, and it's, yeah, it's 375 00:21:23,400 --> 00:21:26,240 Speaker 1: kind of dangerous because like it's the simpler the rationale, 376 00:21:26,280 --> 00:21:29,760 Speaker 1: the easier it will be for like people to latch 377 00:21:29,760 --> 00:21:32,199 Speaker 1: onto it, like the like the Columbine narrative of like 378 00:21:32,480 --> 00:21:35,919 Speaker 1: losers who didn't fit in, where the real answer is 379 00:21:35,960 --> 00:21:40,320 Speaker 1: so much more complicated and kind of and scarier. So 380 00:21:40,400 --> 00:21:43,040 Speaker 1: everybody when they were hoping to find out what the 381 00:21:43,080 --> 00:21:45,280 Speaker 1: motive was, there was this note that you could see 382 00:21:45,280 --> 00:21:48,240 Speaker 1: in a photograph of the crime scene, and you couldn't 383 00:21:48,280 --> 00:21:50,560 Speaker 1: really see what was on it. So it turns out 384 00:21:50,800 --> 00:21:54,119 Speaker 1: that note was actually just his calculations that he had 385 00:21:54,200 --> 00:21:57,800 Speaker 1: drawn sort of the mathematical equation for how he knew 386 00:21:58,320 --> 00:22:02,520 Speaker 1: how to like arc the let's to specifically hit the 387 00:22:02,520 --> 00:22:05,919 Speaker 1: people he ended up hitting. UM And I read that 388 00:22:05,960 --> 00:22:08,639 Speaker 1: in the context of an article about how he was 389 00:22:08,720 --> 00:22:13,119 Speaker 1: like a real numbers guy, which made me think back 390 00:22:13,160 --> 00:22:18,480 Speaker 1: to UH. I read a Princeton study that found that 391 00:22:18,960 --> 00:22:25,359 Speaker 1: the only really predictive detail of personalities of like who 392 00:22:25,480 --> 00:22:27,840 Speaker 1: is going to become a terrorist or a mass murder 393 00:22:28,320 --> 00:22:34,680 Speaker 1: is that their engineers. Engineers are represented nine times as 394 00:22:34,760 --> 00:22:38,359 Speaker 1: much as you would expect based on chance. Is that 395 00:22:38,520 --> 00:22:42,439 Speaker 1: is that just because they're looking for order in chaos? 396 00:22:42,520 --> 00:22:44,760 Speaker 1: Or like, what is what is the rational? Is there 397 00:22:44,800 --> 00:22:48,119 Speaker 1: any like theory behind that? I'm looking for a narrative here? Yeah. 398 00:22:48,200 --> 00:22:51,119 Speaker 1: I So I spent a long time thinking about this 399 00:22:51,160 --> 00:22:54,280 Speaker 1: and couldn't come up with anything, and then I finally 400 00:22:54,560 --> 00:22:59,040 Speaker 1: read uh a explanation and it was what you just 401 00:22:59,119 --> 00:23:01,920 Speaker 1: came up on the flies. So that's really impressive. But yeah, 402 00:23:01,960 --> 00:23:06,000 Speaker 1: that that engineering like people who are numbers people, UH 403 00:23:06,240 --> 00:23:12,280 Speaker 1: strive for specific clean cut answers, and when they don't 404 00:23:12,320 --> 00:23:16,320 Speaker 1: get them in reality, it like bothers them and they 405 00:23:16,320 --> 00:23:20,200 Speaker 1: try and sort of make reality conformed to the clear 406 00:23:20,240 --> 00:23:23,360 Speaker 1: cut rules that they have because there's no ambiguity with math, 407 00:23:23,880 --> 00:23:26,320 Speaker 1: like it is what it is. You can't on this 408 00:23:26,480 --> 00:23:30,639 Speaker 1: year Terrence Howard, who has his own form of mathematics 409 00:23:31,200 --> 00:23:33,800 Speaker 1: Google terriology. Guys, if you don't believe me, just to 410 00:23:33,800 --> 00:23:35,640 Speaker 1: give some that up. I think he believes that one 411 00:23:35,680 --> 00:23:38,359 Speaker 1: times one isn't actually one but it's too now. But 412 00:23:38,400 --> 00:23:40,480 Speaker 1: think about it though, Yeah, that's that's sort of interesting 413 00:23:40,520 --> 00:23:43,119 Speaker 1: to think that people with I guess that need for 414 00:23:43,320 --> 00:23:47,040 Speaker 1: order find their way to extremism or just that it's 415 00:23:47,160 --> 00:23:50,240 Speaker 1: violence or yeah, and there's nothing. There's nothing to do 416 00:23:50,320 --> 00:23:54,280 Speaker 1: about it. We can't start profiling engineers or numbers people. Uh. 417 00:23:54,359 --> 00:23:57,560 Speaker 1: I think I just like this fact because I suck 418 00:23:57,600 --> 00:24:01,280 Speaker 1: at math, just like see it's the people who are 419 00:24:01,320 --> 00:24:05,160 Speaker 1: good at math um. So one thing that I do 420 00:24:05,280 --> 00:24:07,720 Speaker 1: think is useful in this context is the story of 421 00:24:07,760 --> 00:24:12,680 Speaker 1: the Australian Buy Back UM, which is like, basically Australia 422 00:24:12,840 --> 00:24:17,280 Speaker 1: overhauled their gun laws after a mass shooting that killed 423 00:24:17,320 --> 00:24:23,760 Speaker 1: thirty five people in UM. The Australian Prime Minister, who 424 00:24:23,840 --> 00:24:27,479 Speaker 1: was a conservative actually, which I think helped basically in 425 00:24:27,560 --> 00:24:30,359 Speaker 1: response to this mass shooting, was like we need to 426 00:24:31,760 --> 00:24:34,840 Speaker 1: have fewer guns. We need to get rid of semi 427 00:24:34,880 --> 00:24:40,760 Speaker 1: automatic weapons. Um. People were outraged when when they introduced 428 00:24:40,760 --> 00:24:46,880 Speaker 1: this idea. The Australians love their guns too. Um, they 429 00:24:47,080 --> 00:24:52,520 Speaker 1: do not have nearly as many guns. That's one difference obviously. UM. 430 00:24:52,800 --> 00:24:58,040 Speaker 1: They also, uh they had had like many mass shootings, 431 00:24:58,359 --> 00:25:01,160 Speaker 1: but they had had like eleven in a decade, which 432 00:25:01,200 --> 00:25:04,360 Speaker 1: is still way too many mass shootings. UM. But I 433 00:25:04,480 --> 00:25:09,280 Speaker 1: went and looked in America has had eleven since August 434 00:25:09,359 --> 00:25:14,680 Speaker 1: twenty one of this year. UM, So it's a it's 435 00:25:14,680 --> 00:25:17,280 Speaker 1: probably a more pressing problem and a bigger issue in 436 00:25:17,280 --> 00:25:19,680 Speaker 1: America than it is in Australia. I don't think that's 437 00:25:19,920 --> 00:25:22,960 Speaker 1: a reason to then say so we can't like even 438 00:25:23,000 --> 00:25:27,240 Speaker 1: think about consider the solution because we're too far gone. Um. 439 00:25:27,280 --> 00:25:30,679 Speaker 1: But basically, the way they went about getting uh fewer 440 00:25:30,720 --> 00:25:35,440 Speaker 1: guns is they uh instituted a buyback where they would 441 00:25:35,520 --> 00:25:38,840 Speaker 1: pay people as much money as it took to get 442 00:25:38,840 --> 00:25:42,639 Speaker 1: their guns back, and they essentially took a number of 443 00:25:42,720 --> 00:25:46,240 Speaker 1: guns out of circulation. I think it was like a 444 00:25:46,280 --> 00:25:53,360 Speaker 1: pretty large percentage, and they saw immediate results. Um, the 445 00:25:53,480 --> 00:25:59,000 Speaker 1: number of people who the number of gun crimes went down. 446 00:25:59,040 --> 00:26:03,040 Speaker 1: But Also the overall number of crimes went down. Uh. 447 00:26:03,240 --> 00:26:08,240 Speaker 1: For instance, the firearm homicide rate felled by and the 448 00:26:08,280 --> 00:26:11,879 Speaker 1: firearms suicide rate felled by sixty five percent in the 449 00:26:11,920 --> 00:26:15,120 Speaker 1: decade after the law was introduced, and there wasn't an 450 00:26:15,160 --> 00:26:18,600 Speaker 1: increase in non gun homicides and non gun suicide. So 451 00:26:18,640 --> 00:26:21,840 Speaker 1: it's like those crimes that would have been committed or 452 00:26:21,880 --> 00:26:25,400 Speaker 1: suicides that would have been committed with guns, uh, just 453 00:26:25,680 --> 00:26:28,840 Speaker 1: didn't happen at all, right, without the opportunity, right without 454 00:26:29,119 --> 00:26:31,080 Speaker 1: you have no access to the guns anymore, which is 455 00:26:31,160 --> 00:26:34,119 Speaker 1: kind of counterintuitive. We tend to think that and and 456 00:26:34,160 --> 00:26:35,760 Speaker 1: this is an argument you tend to hear in the 457 00:26:35,760 --> 00:26:38,200 Speaker 1: aftermath of a mass shooting that like, evil will find 458 00:26:38,240 --> 00:26:41,800 Speaker 1: a way, um, But that tends not to be the 459 00:26:41,840 --> 00:26:44,920 Speaker 1: case when you look at statistics, especially if it's like 460 00:26:44,960 --> 00:26:49,960 Speaker 1: a very impulsive decision, right, and these decisions are tend 461 00:26:50,040 --> 00:26:55,480 Speaker 1: to be actually more impulsive than we like to believe. Um. 462 00:26:55,520 --> 00:26:58,240 Speaker 1: There's this thing called the British Cold Gas Study that 463 00:26:58,880 --> 00:27:03,400 Speaker 1: I love talking about um uh, but it's about suicide, 464 00:27:03,440 --> 00:27:05,720 Speaker 1: so it makes me not very fun at parties. But 465 00:27:06,560 --> 00:27:12,560 Speaker 1: basically it's Uh. Coal gas was how people in England 466 00:27:12,760 --> 00:27:15,560 Speaker 1: heated their stoves for the first half of the twentieth 467 00:27:15,560 --> 00:27:20,119 Speaker 1: century um and this is where you got the people, 468 00:27:20,800 --> 00:27:22,920 Speaker 1: where you got the idea of people sticking their head 469 00:27:23,080 --> 00:27:25,520 Speaker 1: in the oven to kill themselves because the gas was 470 00:27:25,960 --> 00:27:31,040 Speaker 1: highly uh right Sylvia plath uh was highly toxic and 471 00:27:31,080 --> 00:27:34,639 Speaker 1: so a person could just, you know, if they were 472 00:27:34,680 --> 00:27:37,679 Speaker 1: feeling bad, turn on the gas and put their head 473 00:27:37,720 --> 00:27:39,840 Speaker 1: in the oven and you know, be done with it 474 00:27:39,880 --> 00:27:43,359 Speaker 1: pretty quickly. So at a certain point, not because of 475 00:27:43,400 --> 00:27:47,040 Speaker 1: the suicide problem, but just because it was more efficient, 476 00:27:47,080 --> 00:27:51,000 Speaker 1: they switched to cleaner natural gas in their ovens. And 477 00:27:51,400 --> 00:27:55,000 Speaker 1: uh so coal gas had been responsible for a third 478 00:27:55,119 --> 00:27:59,440 Speaker 1: of all suicides in England prior to that switch, and 479 00:27:59,840 --> 00:28:03,560 Speaker 1: after they made the switch, the suicide rate just felled 480 00:28:03,560 --> 00:28:06,680 Speaker 1: by a third. It was just took away that mode 481 00:28:06,680 --> 00:28:10,440 Speaker 1: of suicide. You took away like this convenient mode of suicide, 482 00:28:10,520 --> 00:28:16,040 Speaker 1: and so people were less likely to make that decision, 483 00:28:16,400 --> 00:28:18,880 Speaker 1: like they just didn't end up killing themselves, which isn't 484 00:28:18,920 --> 00:28:22,640 Speaker 1: how we think about suicide. And I mean the Australian 485 00:28:22,640 --> 00:28:26,159 Speaker 1: buyback suggests that the same is true of homicide. That 486 00:28:26,640 --> 00:28:30,479 Speaker 1: if people don't have access to you know, guns are 487 00:28:30,560 --> 00:28:33,480 Speaker 1: essentially a button, like you can press a button and 488 00:28:34,080 --> 00:28:37,320 Speaker 1: permanently and someone's life, or permanently and your own life. 489 00:28:37,440 --> 00:28:42,680 Speaker 1: That's what's so dangerous about them is you know that 490 00:28:43,160 --> 00:28:46,120 Speaker 1: it's like you press that button and its final answer, 491 00:28:46,280 --> 00:28:49,200 Speaker 1: like that's there's there's no taking it back. Well, I 492 00:28:49,200 --> 00:28:52,920 Speaker 1: think that the Australian buyback is interesting too because it offers, 493 00:28:53,080 --> 00:28:56,680 Speaker 1: you know, it incentivizes giving up your gun too, which 494 00:28:56,720 --> 00:28:59,120 Speaker 1: I guess is a little bit different from the British 495 00:28:59,120 --> 00:29:02,520 Speaker 1: coal gas says you ration, but you know, like replacing 496 00:29:02,560 --> 00:29:06,040 Speaker 1: one vice with with another of like oh well we'll 497 00:29:06,280 --> 00:29:09,840 Speaker 1: pay you to have a gun, we'll pay you to 498 00:29:09,960 --> 00:29:14,000 Speaker 1: not be a danger to society. Yeah. Well, they're even 499 00:29:14,080 --> 00:29:16,800 Speaker 1: quotes from people who at the time sold their guns 500 00:29:16,800 --> 00:29:18,200 Speaker 1: and like why did you do? And some people were 501 00:29:18,560 --> 00:29:21,320 Speaker 1: clearly just said that like I just want to help society, 502 00:29:21,400 --> 00:29:23,280 Speaker 1: Like it's not about me having to own a gun. 503 00:29:23,320 --> 00:29:25,280 Speaker 1: I just feel like it's for the good of society, 504 00:29:25,320 --> 00:29:27,800 Speaker 1: which is just tough in this country because we look 505 00:29:27,800 --> 00:29:31,800 Speaker 1: at guns as being like fundamentally part of the American identity, 506 00:29:31,880 --> 00:29:34,960 Speaker 1: like it's in the Constitution, you know, it's the Second Amendment. 507 00:29:35,040 --> 00:29:37,600 Speaker 1: It's like my god given right as an American is 508 00:29:37,600 --> 00:29:40,480 Speaker 1: to is to bear arms, uh and not just wearing 509 00:29:40,480 --> 00:29:43,640 Speaker 1: sleeless teas. And I think like if you know, if 510 00:29:43,680 --> 00:29:46,000 Speaker 1: if we're gonna go stick to the letter of the constitution, 511 00:29:46,040 --> 00:29:49,120 Speaker 1: like you know, just give people muskets, then I mean, 512 00:29:49,400 --> 00:29:51,160 Speaker 1: like you don't need you don't need these crazy ass 513 00:29:51,200 --> 00:29:53,400 Speaker 1: assault rifles. And I mean when you look at the 514 00:29:53,440 --> 00:29:57,200 Speaker 1: gun ownership statistics in the US, like it's crazy. I 515 00:29:57,200 --> 00:29:59,240 Speaker 1: mean there was one study that came out that said 516 00:29:59,320 --> 00:30:02,560 Speaker 1: anywhere between thirty five and fifty percent of civilian guns 517 00:30:02,560 --> 00:30:06,400 Speaker 1: in the world are owned by Americans. Right. That means 518 00:30:06,440 --> 00:30:09,000 Speaker 1: guns that police or the military aren't using, like just 519 00:30:09,040 --> 00:30:11,840 Speaker 1: the guns that are available to civilians, we own nearly 520 00:30:11,880 --> 00:30:15,960 Speaker 1: half of them, right. And like a statistic. That's also 521 00:30:16,200 --> 00:30:19,200 Speaker 1: a statistic people bring up when they talk about why 522 00:30:19,320 --> 00:30:24,240 Speaker 1: the Australian buyback wouldn't work in America because in there 523 00:30:24,280 --> 00:30:27,480 Speaker 1: were seventeen and a half guns per one hundred people 524 00:30:27,480 --> 00:30:32,600 Speaker 1: in Australia, uh and in America it was ninety one 525 00:30:32,640 --> 00:30:35,360 Speaker 1: guns per hundred people and now it's up to a 526 00:30:35,440 --> 00:30:38,160 Speaker 1: hundred and one guns per hundred people. So they are 527 00:30:38,200 --> 00:30:42,280 Speaker 1: more guns than people. But when you actually look at 528 00:30:42,640 --> 00:30:47,160 Speaker 1: the ownership, like those guns are spread across only like 529 00:30:47,200 --> 00:30:50,200 Speaker 1: twenty two to twenty nine percent of the population. Only 530 00:30:50,800 --> 00:30:53,920 Speaker 1: like less than thirty percent of the population actually owns guns. 531 00:30:54,560 --> 00:30:57,840 Speaker 1: Um And you know, fifty five percent of people say 532 00:30:57,920 --> 00:31:01,080 Speaker 1: gun laws should be more strict in a gallop pole, 533 00:31:01,360 --> 00:31:06,200 Speaker 1: only ten percent say less strict. But you have this 534 00:31:06,560 --> 00:31:10,640 Speaker 1: really strong lobbying group, And Miles, I wanted to hear 535 00:31:10,880 --> 00:31:12,840 Speaker 1: kind of your take on this. The the n r 536 00:31:12,920 --> 00:31:19,000 Speaker 1: A is this crazy, far far right wing lobbying group 537 00:31:19,160 --> 00:31:24,600 Speaker 1: that gets sort of incorporated into the mainstream conservative viewpoints. 538 00:31:24,600 --> 00:31:27,120 Speaker 1: Like it's almost like their PETA. I feel like, like 539 00:31:28,360 --> 00:31:31,280 Speaker 1: on the left, like I know, Pete is fucking crazy, right, 540 00:31:31,800 --> 00:31:34,760 Speaker 1: I'm unable to admit that, But I feel like the 541 00:31:34,920 --> 00:31:38,360 Speaker 1: n r A is sort of, you know, gets incorporated 542 00:31:38,520 --> 00:31:41,800 Speaker 1: into the whole sort of right wing ethos. Yeah, I 543 00:31:41,840 --> 00:31:44,959 Speaker 1: mean they are so powerful. I mean like just in 544 00:31:45,080 --> 00:31:47,160 Speaker 1: terms of like so the n r A spends so 545 00:31:47,320 --> 00:31:51,720 Speaker 1: much money influencing campaigns or donating the candidates that help 546 00:31:51,840 --> 00:31:54,800 Speaker 1: push their anti gun control agenda, like it's really for 547 00:31:54,840 --> 00:31:57,120 Speaker 1: their thing, Like there's no nuance to what they're about. 548 00:31:57,200 --> 00:31:59,800 Speaker 1: It's just like any kind of gun regulation where against 549 00:31:59,880 --> 00:32:01,640 Speaker 1: like we're not even here to talk about solutions like 550 00:32:01,760 --> 00:32:04,880 Speaker 1: don't try and regulate guns in any form or fashion, 551 00:32:05,080 --> 00:32:07,400 Speaker 1: which is only ten percent of the US population agrees 552 00:32:07,440 --> 00:32:11,040 Speaker 1: with right exactly. And it's but this is how they're effective. 553 00:32:11,040 --> 00:32:13,400 Speaker 1: They are because they're built on this idea of like, hey, 554 00:32:13,440 --> 00:32:16,200 Speaker 1: they're taking your freedoms or whatever. They have a very 555 00:32:16,240 --> 00:32:18,920 Speaker 1: active grassroots arm, so like if there's any kind of 556 00:32:18,920 --> 00:32:22,640 Speaker 1: gun legislation on the books, they can flood the offices 557 00:32:22,720 --> 00:32:25,480 Speaker 1: of congressmen and senators with cause being like don't vote 558 00:32:25,560 --> 00:32:27,080 Speaker 1: or don't vote for it, don't vote or even if 559 00:32:27,120 --> 00:32:30,080 Speaker 1: the public polling says a majority of Americans are against it. 560 00:32:30,440 --> 00:32:32,800 Speaker 1: And and beyond that, I mean, like when you really 561 00:32:32,800 --> 00:32:35,160 Speaker 1: think about how lobbying works, Like you know, these politicians 562 00:32:35,240 --> 00:32:39,600 Speaker 1: they count on donations to keep their campaigns running because 563 00:32:39,600 --> 00:32:42,040 Speaker 1: if you get outspent, you can lose very easily just 564 00:32:42,200 --> 00:32:44,560 Speaker 1: on how much you spend. So you're kind of beholden 565 00:32:44,920 --> 00:32:47,960 Speaker 1: to these different lobbyists or industry groups who will give 566 00:32:48,040 --> 00:32:51,800 Speaker 1: you your donations. So effective that after Sandy Hook gun 567 00:32:51,920 --> 00:32:54,720 Speaker 1: laws got less strict exactly. You know, they also have 568 00:32:54,760 --> 00:32:56,440 Speaker 1: a very they have a pattern of whenever they are 569 00:32:56,520 --> 00:32:59,080 Speaker 1: these mass shootings, they keep their mouth shut, let the 570 00:32:59,120 --> 00:33:01,760 Speaker 1: outrage die down down, and then come through with something 571 00:33:01,800 --> 00:33:05,320 Speaker 1: like weak ask gun legislation. Um. You know, they've done 572 00:33:05,360 --> 00:33:08,400 Speaker 1: everything they can to make sure that Americans don't really 573 00:33:08,440 --> 00:33:10,880 Speaker 1: address the issue of gun violence. I mean, like in 574 00:33:11,160 --> 00:33:14,680 Speaker 1: nineties six, they did everything they could to gut federal 575 00:33:14,720 --> 00:33:17,800 Speaker 1: funding for the CDC to actually research the effects of 576 00:33:17,840 --> 00:33:20,920 Speaker 1: gun violence on the country. And nearly every study that 577 00:33:20,960 --> 00:33:24,080 Speaker 1: looks into gun violence draws a direct correlation that guns 578 00:33:24,160 --> 00:33:27,680 Speaker 1: equals very bad things or more crime or you know, 579 00:33:27,720 --> 00:33:30,840 Speaker 1: more violent death. Again, because they have a lot of 580 00:33:30,840 --> 00:33:33,920 Speaker 1: politicians in their pockets, they can actually like they'll literally 581 00:33:33,920 --> 00:33:36,840 Speaker 1: write legislation sometimes and they'll just say, hey, you know, 582 00:33:37,040 --> 00:33:40,520 Speaker 1: slide this into the bill. Um. And because we've not 583 00:33:40,600 --> 00:33:43,720 Speaker 1: really looked at gun violence in this country through the 584 00:33:43,720 --> 00:33:46,280 Speaker 1: eyes loans of the CDC or like a huge sort 585 00:33:46,320 --> 00:33:49,560 Speaker 1: of organized study on it, we don't really have reliable 586 00:33:49,560 --> 00:33:53,000 Speaker 1: gun statistics, which allows this sort of debate to always 587 00:33:53,000 --> 00:33:56,040 Speaker 1: get derailed by saying like, oh, the stats are imperfect 588 00:33:56,040 --> 00:33:58,280 Speaker 1: and things like that. That's because the n r A 589 00:33:58,400 --> 00:34:02,160 Speaker 1: has been behind delegis Asian perfect. But I mean, like 590 00:34:02,800 --> 00:34:06,680 Speaker 1: looking at the Australian buy back, it wasn't even ambiguous, 591 00:34:06,720 --> 00:34:09,400 Speaker 1: like the rate in states where the buy back happened 592 00:34:09,440 --> 00:34:12,800 Speaker 1: quickly fell quickly. The suicide and homicide rate in states 593 00:34:12,800 --> 00:34:16,560 Speaker 1: where the buyback happened quickly fell quickly. Uh. In states 594 00:34:16,560 --> 00:34:19,400 Speaker 1: where the buy back happened slowly across the decade, the 595 00:34:19,480 --> 00:34:22,719 Speaker 1: homicide and suicide rate fell slowly across the decade. Like 596 00:34:22,760 --> 00:34:25,920 Speaker 1: it's it's not ambiguous at all. Yeah. By the way, 597 00:34:25,960 --> 00:34:28,000 Speaker 1: the n r I just posted a picture of your 598 00:34:28,040 --> 00:34:32,040 Speaker 1: head photoshopped on a woman's body. So cool, they're not 599 00:34:34,400 --> 00:34:37,120 Speaker 1: you just have a bunch of those, um so Australian 600 00:34:37,120 --> 00:34:39,680 Speaker 1: buy back that that would not work in this country, 601 00:34:39,880 --> 00:34:44,560 Speaker 1: right because miles is head was photoshop woman's body. Yeah. 602 00:34:44,560 --> 00:34:46,400 Speaker 1: I mean so essentially when you look at it, the 603 00:34:46,520 --> 00:34:49,400 Speaker 1: n r RAY has basically taken our ability to actually 604 00:34:49,400 --> 00:34:53,440 Speaker 1: study gun violence away from us. Uh. They have taken 605 00:34:53,520 --> 00:34:56,279 Speaker 1: away the ability for candidates to just sort of run 606 00:34:56,320 --> 00:34:59,520 Speaker 1: on something they believe in because they donate so heavily 607 00:34:59,560 --> 00:35:01,879 Speaker 1: and also pay so much to run attack ads against 608 00:35:01,880 --> 00:35:04,000 Speaker 1: people who are against gun control that they you know, 609 00:35:04,040 --> 00:35:08,280 Speaker 1: they control the entire gun argument in this country. Um. 610 00:35:08,360 --> 00:35:10,040 Speaker 1: And you know, I think that a lot of that 611 00:35:10,040 --> 00:35:11,799 Speaker 1: has to do with the fact that they're able to 612 00:35:11,880 --> 00:35:15,359 Speaker 1: spend millions of dollars sort of unrestricted, whether it's through 613 00:35:15,400 --> 00:35:18,120 Speaker 1: their actual p a c s or their packs or 614 00:35:18,200 --> 00:35:20,919 Speaker 1: through you know, outside spending using dark money groups. They 615 00:35:20,920 --> 00:35:23,600 Speaker 1: basically are just they have us hamstrung. They have us 616 00:35:23,680 --> 00:35:27,520 Speaker 1: unable to really have a constructive dialogue about gun control. 617 00:35:27,760 --> 00:35:30,200 Speaker 1: And these attack ads that they run against the candidates, 618 00:35:30,200 --> 00:35:33,120 Speaker 1: they're not necessarily about gun stuff, right, they just might 619 00:35:33,160 --> 00:35:36,319 Speaker 1: attack the person based on their character whatever they want. Yeah, 620 00:35:36,360 --> 00:35:38,120 Speaker 1: I mean there's no way to know because sometimes if 621 00:35:38,120 --> 00:35:40,359 Speaker 1: you look down and say paid for by Americans for 622 00:35:40,520 --> 00:35:42,719 Speaker 1: you know, freedoms, you know, and those are those are 623 00:35:42,840 --> 00:35:45,719 Speaker 1: like those are five O one C for like dark 624 00:35:45,800 --> 00:35:49,000 Speaker 1: money nonprofits where you don't know where the money comes from. Uh, 625 00:35:49,040 --> 00:35:50,880 Speaker 1: and yeah it can, it can, and who knows they 626 00:35:50,880 --> 00:35:53,040 Speaker 1: could be funded by the gun lobby. And then other 627 00:35:53,040 --> 00:35:55,239 Speaker 1: ones are more straightforward that are like they're coming for 628 00:35:55,320 --> 00:35:58,200 Speaker 1: your guns. But yea that they're able to attack people 629 00:35:58,200 --> 00:36:01,160 Speaker 1: in many number of ways. Yeah, and they're actually doing 630 00:36:01,400 --> 00:36:04,000 Speaker 1: a thing now that they've never done before. But it 631 00:36:04,000 --> 00:36:07,240 Speaker 1: seems to be sort of a new pretty successful tactic 632 00:36:07,800 --> 00:36:11,560 Speaker 1: with that they're actually coming out and saying we're willing 633 00:36:11,680 --> 00:36:15,920 Speaker 1: to accept a ban on bump stocks, which are these 634 00:36:16,280 --> 00:36:20,040 Speaker 1: sort of hacks of semi automatic weapons that the shooter 635 00:36:20,080 --> 00:36:24,120 Speaker 1: in Las Vegas was using. Um. But these are I 636 00:36:24,160 --> 00:36:27,280 Speaker 1: guess they're willing to oppose them because they're not made 637 00:36:27,280 --> 00:36:30,759 Speaker 1: by any of the gun manufacturers they represent pretty much 638 00:36:30,800 --> 00:36:36,200 Speaker 1: who are funding them. Um. And yeah, it's not it's 639 00:36:36,239 --> 00:36:39,799 Speaker 1: not really going to help many things. But they have 640 00:36:40,000 --> 00:36:42,560 Speaker 1: been able to control the story essentially, Like when you 641 00:36:42,680 --> 00:36:45,520 Speaker 1: hear about the story and gun control right now, the 642 00:36:45,560 --> 00:36:48,120 Speaker 1: thing that people are talking about is bump stocks, right 643 00:36:48,200 --> 00:36:50,200 Speaker 1: and all suddenly people are like, oh, then Ari has 644 00:36:50,239 --> 00:36:53,480 Speaker 1: a change of heart. It's like it's non profitable, it 645 00:36:53,680 --> 00:36:55,560 Speaker 1: is not problem like it there. That's what the n 646 00:36:55,640 --> 00:36:57,920 Speaker 1: r A is all about. Yeah. And uh. And when 647 00:36:57,920 --> 00:37:00,000 Speaker 1: it comes to the buy back, I guess we should 648 00:37:00,160 --> 00:37:03,480 Speaker 1: say that this has been tried in America, um, just 649 00:37:03,640 --> 00:37:09,680 Speaker 1: in very specific, localized cases. Um. And so in Australia 650 00:37:09,719 --> 00:37:12,920 Speaker 1: they made the semi automatic weapons illegal, so they were 651 00:37:12,960 --> 00:37:15,440 Speaker 1: doing both things. You weren't allowed to have the guns 652 00:37:15,520 --> 00:37:18,800 Speaker 1: and when you brought them in they would pay you money. Uh. 653 00:37:18,920 --> 00:37:22,000 Speaker 1: Obviously they're not making any of the guns illegal in 654 00:37:22,040 --> 00:37:25,120 Speaker 1: the United States, but they have tried just paying people 655 00:37:25,560 --> 00:37:30,239 Speaker 1: for guns. Uh. Los Angeles is actually doing this right now. Uh. 656 00:37:30,360 --> 00:37:35,399 Speaker 1: And the police say that it's actually been effective. It's 657 00:37:35,440 --> 00:37:38,040 Speaker 1: taken a bunch of guns off the street, and they 658 00:37:38,040 --> 00:37:41,440 Speaker 1: say that there's been less gun violence. Uh. But of course, 659 00:37:41,719 --> 00:37:45,680 Speaker 1: thanks to the n r A, there's no real good 660 00:37:45,760 --> 00:37:49,520 Speaker 1: statistics on this because, like Miles said, the CDC, which 661 00:37:49,680 --> 00:37:52,640 Speaker 1: would be the branch of the government that would typically 662 00:37:52,800 --> 00:37:56,040 Speaker 1: do studies into this, had all of their funding removed 663 00:37:56,080 --> 00:37:59,319 Speaker 1: when they started talking about gun violence. Uh. Yes, specifically 664 00:37:59,320 --> 00:38:02,239 Speaker 1: they are. They are forbidden to use any of the 665 00:38:02,320 --> 00:38:05,200 Speaker 1: money from the federal government to actually do any kind 666 00:38:05,200 --> 00:38:07,879 Speaker 1: of public health research into gun violence at all. So 667 00:38:08,239 --> 00:38:11,759 Speaker 1: there's no real, unimpeachable evidence that could really kind of 668 00:38:11,800 --> 00:38:15,160 Speaker 1: affect the conversation around this, because we're only getting statistics 669 00:38:15,200 --> 00:38:18,640 Speaker 1: like raw statistics from the FBI about like homicides and suicides, 670 00:38:19,040 --> 00:38:21,480 Speaker 1: and then stats that are either from like the pro 671 00:38:21,600 --> 00:38:24,799 Speaker 1: gun and r A or pro gun control stuff from 672 00:38:24,840 --> 00:38:27,520 Speaker 1: the Brady campaign. So yeah, yeah, And there are a 673 00:38:27,560 --> 00:38:30,320 Speaker 1: couple of studies that's say, like buy backs don't work 674 00:38:30,480 --> 00:38:34,080 Speaker 1: in America, but those studies are based on a lot 675 00:38:34,080 --> 00:38:37,520 Speaker 1: of times these localized examples, some of them are rural 676 00:38:37,840 --> 00:38:40,800 Speaker 1: buy backs, where you know, you just get old guys 677 00:38:40,840 --> 00:38:44,560 Speaker 1: selling you back their old revolver that doesn't work anymore. 678 00:38:45,080 --> 00:38:47,719 Speaker 1: Um And so I mean you need it to be 679 00:38:48,160 --> 00:38:52,560 Speaker 1: uh intelligently done. Um And you know the best example 680 00:38:52,640 --> 00:38:55,880 Speaker 1: is still the Australian one, where you pair more strict 681 00:38:56,160 --> 00:38:58,880 Speaker 1: gun control laws with the gun buy back. Right. So 682 00:38:58,920 --> 00:39:00,520 Speaker 1: it's not just sort of like if you want to 683 00:39:00,560 --> 00:39:02,799 Speaker 1: bring your gun by, we'll give you a target gift card. 684 00:39:02,800 --> 00:39:04,839 Speaker 1: It's like, if we catch you with these guns, it's 685 00:39:04,840 --> 00:39:06,640 Speaker 1: a problem, so you might as well come bring him 686 00:39:06,640 --> 00:39:08,160 Speaker 1: in and get some money for it, right, and focus 687 00:39:08,200 --> 00:39:10,919 Speaker 1: on specific models, so it's not just like any gun, 688 00:39:11,320 --> 00:39:13,759 Speaker 1: we'll we'll take it. Yeah. And if you google like 689 00:39:13,880 --> 00:39:16,160 Speaker 1: American gun buy backs things, a lot of them are 690 00:39:16,200 --> 00:39:20,040 Speaker 1: just like these crazy opinion pieces from like pro gun 691 00:39:20,120 --> 00:39:23,120 Speaker 1: websites or websites that clearly are like right leaning three 692 00:39:23,120 --> 00:39:25,200 Speaker 1: on the three on like the first page of results 693 00:39:25,200 --> 00:39:28,160 Speaker 1: are about how like arguments that the Australian gun buy 694 00:39:28,200 --> 00:39:32,000 Speaker 1: back didn't work and was actually like work failure, right, Yeah, 695 00:39:32,040 --> 00:39:34,239 Speaker 1: despite people in Australia being like, no, there hasn't been 696 00:39:34,280 --> 00:39:39,040 Speaker 1: a mass shooting since America's first Freedom dot Org right, 697 00:39:39,160 --> 00:39:41,560 Speaker 1: sounds legit to me. I mean, I like freedom and 698 00:39:41,600 --> 00:39:44,520 Speaker 1: I'm from America. So all right, so we're gonna go 699 00:39:44,560 --> 00:39:46,560 Speaker 1: to a break real quick. We're gonna come back talk 700 00:39:46,560 --> 00:39:50,080 Speaker 1: really quickly about gun marketing and how they they're marketed 701 00:39:50,120 --> 00:39:53,399 Speaker 1: to people, and then go out on maybe some more 702 00:39:53,520 --> 00:39:57,759 Speaker 1: lighthearted stuff. We'll be right back and we're back. Um, 703 00:39:57,960 --> 00:40:02,440 Speaker 1: so real quick, Jamie, you have some knowledge of a 704 00:40:02,640 --> 00:40:07,439 Speaker 1: marketing campaign from the gun industry that caught your attention. Ah. Yeah, 705 00:40:07,520 --> 00:40:10,880 Speaker 1: this was a story that was in Playboy magazine about 706 00:40:10,920 --> 00:40:13,840 Speaker 1: a year ago, uh, that I did some work on. 707 00:40:13,960 --> 00:40:17,000 Speaker 1: It was about this company called Silence or co Um 708 00:40:17,040 --> 00:40:20,560 Speaker 1: that is a really big disruptor in terms of marketing 709 00:40:20,880 --> 00:40:25,879 Speaker 1: gun silencers to millennials, which is you know, I don't 710 00:40:25,880 --> 00:40:29,640 Speaker 1: need to say extremely dangerous, but just the tactics they 711 00:40:29,760 --> 00:40:32,640 Speaker 1: use where it's like, I think we have such ingrained 712 00:40:32,680 --> 00:40:35,440 Speaker 1: like n r A attack ads are a very specific 713 00:40:35,520 --> 00:40:38,400 Speaker 1: thing that almost in a weird way, I think, feel dated. 714 00:40:39,040 --> 00:40:40,880 Speaker 1: Uh and like you know, you don't see that and 715 00:40:40,880 --> 00:40:43,600 Speaker 1: you're like, oh, that's for people in their twenties, you know, 716 00:40:44,280 --> 00:40:48,240 Speaker 1: whereas companies like Silence or co they're like their whole 717 00:40:48,280 --> 00:40:51,759 Speaker 1: marketing campaign last year was based on this like Miami 718 00:40:51,920 --> 00:40:55,000 Speaker 1: Vice style aesthetic, and they released a bunch of goofy 719 00:40:55,080 --> 00:40:58,160 Speaker 1: videos of them dressed up like my Miami Vice things 720 00:40:58,200 --> 00:41:01,200 Speaker 1: and then putting on gun stile answers and you know, 721 00:41:01,640 --> 00:41:06,399 Speaker 1: shooting and um. They also have worked with Steve Aoki extensively. 722 00:41:06,960 --> 00:41:09,520 Speaker 1: I know, it's like, oh DJs with guns, Like after 723 00:41:09,600 --> 00:41:12,839 Speaker 1: I do hot sad, I had to go home and 724 00:41:13,040 --> 00:41:17,879 Speaker 1: uh shoot stuff quietly. Even though I'm a DJ, I'm 725 00:41:17,880 --> 00:41:20,400 Speaker 1: all about volume except when it comes to my guns. 726 00:41:20,440 --> 00:41:24,480 Speaker 1: So in conclusion, guys, yeah, I mean, look, obviously the 727 00:41:24,520 --> 00:41:27,360 Speaker 1: gun lobby is very powerful, but you know, like I 728 00:41:27,400 --> 00:41:29,200 Speaker 1: think people sort of need to look at it like this. 729 00:41:29,280 --> 00:41:30,840 Speaker 1: The n r A is spending a lot of money 730 00:41:31,320 --> 00:41:34,359 Speaker 1: to prop up candidates who will help, you know, push 731 00:41:34,400 --> 00:41:37,440 Speaker 1: their pro gun agenda. Um, but there aren't many groups 732 00:41:37,560 --> 00:41:40,319 Speaker 1: that get the same kind of donations. Who are who 733 00:41:40,320 --> 00:41:43,240 Speaker 1: are gun control advocacy groups? Um? And I think people 734 00:41:43,320 --> 00:41:45,080 Speaker 1: can you know, this is a moment for a lot 735 00:41:45,120 --> 00:41:47,600 Speaker 1: of these groups to kind of step up and uh 736 00:41:47,640 --> 00:41:50,080 Speaker 1: sort of make their presence known. And I think, if 737 00:41:50,320 --> 00:41:53,839 Speaker 1: you know, imagine if these gun gun control groups spent 738 00:41:53,880 --> 00:41:55,960 Speaker 1: as much as the n r A, there we might 739 00:41:56,000 --> 00:41:59,480 Speaker 1: be able to see some kind of sort of evening 740 00:41:59,480 --> 00:42:02,040 Speaker 1: of the scale in terms of what the influence is uh. 741 00:42:02,120 --> 00:42:04,000 Speaker 1: And some people have even floated the idea of approaching 742 00:42:04,160 --> 00:42:06,440 Speaker 1: candidates for Congress or Senate and saying, look, if you 743 00:42:06,440 --> 00:42:09,440 Speaker 1: don't take the n r A money will match actually 744 00:42:09,440 --> 00:42:11,560 Speaker 1: what the n r A gives you uh for you 745 00:42:11,600 --> 00:42:13,799 Speaker 1: to not take their money, but you can still have 746 00:42:13,880 --> 00:42:16,919 Speaker 1: that in your coffers for your campaign. So I think 747 00:42:16,960 --> 00:42:18,919 Speaker 1: you know, not to you know, a lot of people 748 00:42:18,960 --> 00:42:21,160 Speaker 1: do feel a little defeated by because every article you're 749 00:42:21,160 --> 00:42:22,600 Speaker 1: seeing is like the nr A is so powerful and 750 00:42:22,800 --> 00:42:25,239 Speaker 1: there's nothing you do about. I mean, Massachusetts is a 751 00:42:25,280 --> 00:42:27,000 Speaker 1: is a great example of a state that has not, 752 00:42:27,239 --> 00:42:30,680 Speaker 1: you know, bowed to the power of the n r A. California, 753 00:42:31,360 --> 00:42:34,160 Speaker 1: Great Commonwealth of Massachusetts and the state of California also 754 00:42:34,239 --> 00:42:37,920 Speaker 1: as well. Yeah, but I think, you know, it's important 755 00:42:37,920 --> 00:42:40,280 Speaker 1: to know that there are there are there are solutions 756 00:42:40,280 --> 00:42:44,200 Speaker 1: out there, aside from just clearly the first reaction is like, well, 757 00:42:44,280 --> 00:42:45,920 Speaker 1: let's take all of the guns away. I think this 758 00:42:46,120 --> 00:42:49,560 Speaker 1: also can be framed around a conversation around the money 759 00:42:49,560 --> 00:42:51,919 Speaker 1: that's going into politics and also becoming aware of how 760 00:42:52,200 --> 00:42:54,719 Speaker 1: we can counter that with our own dollars as well. Right, 761 00:42:54,840 --> 00:42:58,120 Speaker 1: we're not an anti gun lobby. At the Daily Zy, 762 00:42:58,560 --> 00:43:02,040 Speaker 1: We're like, this is just an example of politics and 763 00:43:02,160 --> 00:43:07,120 Speaker 1: democracy like not working of people want stronger gun control 764 00:43:07,239 --> 00:43:10,239 Speaker 1: and are just like, well, the n r A is 765 00:43:10,280 --> 00:43:13,200 Speaker 1: not gonna let us. And that's my impression of you 766 00:43:13,360 --> 00:43:17,800 Speaker 1: listeners pussies. Sorry, oh no, I mean yeah, and again 767 00:43:17,800 --> 00:43:20,000 Speaker 1: I think people need to go back to Citizens United 768 00:43:20,120 --> 00:43:23,239 Speaker 1: when basically it was ruled that corporations can spend on 769 00:43:23,280 --> 00:43:27,480 Speaker 1: the mid amounts of money on campaign So yeah, actionable 770 00:43:27,600 --> 00:43:31,840 Speaker 1: things stay, We'll call your congress people. And uh, let's 771 00:43:32,400 --> 00:43:36,480 Speaker 1: move on to Lauren Michael's sorry as excuse for y 772 00:43:36,600 --> 00:43:39,319 Speaker 1: S and L didn't talk about the Weinstein thing. Uh 773 00:43:39,600 --> 00:43:42,960 Speaker 1: he claimed it's a New York thing, so he's he's 774 00:43:43,000 --> 00:43:46,240 Speaker 1: arguing like, oh, this is too inside baseball to joke about. 775 00:43:46,560 --> 00:43:49,280 Speaker 1: It's too too much of a New yormally New Yorkers 776 00:43:49,320 --> 00:43:54,000 Speaker 1: care about Strami sandwiches in Harvey Weinstein sexual misconduct to 777 00:43:54,120 --> 00:43:57,799 Speaker 1: New York. And also, yeah, and there are jokes on 778 00:43:58,080 --> 00:44:00,640 Speaker 1: sn O constantly that if you're not from New York, 779 00:44:00,680 --> 00:44:02,520 Speaker 1: they will fly over your heads. I feel like that's 780 00:44:02,560 --> 00:44:05,440 Speaker 1: almost every Weekend Update segment. There's a lot of New 781 00:44:05,520 --> 00:44:08,080 Speaker 1: York in Joe. You know, it's I mean, it's an 782 00:44:08,120 --> 00:44:12,719 Speaker 1: excuse to not talk about powerful power, but that like 783 00:44:13,120 --> 00:44:16,680 Speaker 1: it's an excuse. My favorite part of sn L thus 784 00:44:16,680 --> 00:44:19,240 Speaker 1: far this season. There's only been two but the Weekend 785 00:44:19,320 --> 00:44:21,960 Speaker 1: Update characters the guy who just bought a boat and 786 00:44:22,120 --> 00:44:25,600 Speaker 1: the guy who just joined Soho House. We're fucking hilarious. 787 00:44:25,640 --> 00:44:28,400 Speaker 1: But it was like chock full of like insider New 788 00:44:28,480 --> 00:44:30,560 Speaker 1: York stuff, Like you're not going to get that joke 789 00:44:30,640 --> 00:44:32,719 Speaker 1: if you don't live in a city that has a 790 00:44:32,760 --> 00:44:35,160 Speaker 1: Soho House And what is that just la in New York? 791 00:44:35,640 --> 00:44:40,480 Speaker 1: I don't even know what boom, but yeah, it's it's 792 00:44:40,480 --> 00:44:44,040 Speaker 1: a it's a very weak as excuse, Laurence, come on now. Um. 793 00:44:44,120 --> 00:44:47,719 Speaker 1: And also that's so right, like they're's so ripe for material, 794 00:44:47,840 --> 00:44:50,520 Speaker 1: like how could you? Yeah, that's a stupid comedy decision 795 00:44:50,560 --> 00:44:52,720 Speaker 1: to Also, I'm kind of mad that like they're constantly 796 00:44:52,760 --> 00:44:54,759 Speaker 1: just framing like some of these instanes of like his 797 00:44:54,840 --> 00:44:57,359 Speaker 1: alleged sexual harassment, when like they're women straight up talking 798 00:44:57,480 --> 00:44:59,840 Speaker 1: like he was masturbating in front of me, Like is 799 00:44:59,840 --> 00:45:03,040 Speaker 1: that I think that's a step beyond harassment at that point, 800 00:45:03,080 --> 00:45:09,600 Speaker 1: like forcibly, having someone watch you masturbate. I think it's yeah, right, 801 00:45:09,800 --> 00:45:14,320 Speaker 1: very strange, and nobody about plants, writes Um and then 802 00:45:14,920 --> 00:45:18,360 Speaker 1: last of all, you guys, I'm worried about the Avatar franchise. 803 00:45:18,960 --> 00:45:22,200 Speaker 1: Um oh, now we're getting into the real issue. I 804 00:45:22,200 --> 00:45:27,720 Speaker 1: feel like I really enjoyed Avatar for the run time 805 00:45:27,880 --> 00:45:31,000 Speaker 1: of Avatar, like from when it started to the end, 806 00:45:31,120 --> 00:45:34,279 Speaker 1: I was like, man, this is amazing, and then it 807 00:45:34,400 --> 00:45:37,640 Speaker 1: just totally disappeared from my mind. I think culturally a 808 00:45:37,719 --> 00:45:41,520 Speaker 1: similar thing happened. Like you don't hear people talk about Avatar, uh, 809 00:45:41,560 --> 00:45:44,560 Speaker 1: really all that much. It's not even a DVD you 810 00:45:44,600 --> 00:45:47,080 Speaker 1: get high to and watch, you know, like some films, 811 00:45:47,080 --> 00:45:49,600 Speaker 1: like you'll still like the Matrix, like man, it was Waitress, 812 00:45:49,640 --> 00:45:53,239 Speaker 1: but you never like, hey, man, let's watch Avatar real quick. Fine, 813 00:45:53,280 --> 00:45:56,640 Speaker 1: it's but it's a goofy It's a doofy little movie. 814 00:45:56,960 --> 00:46:00,960 Speaker 1: I don't know. So I am pro film industry and 815 00:46:01,000 --> 00:46:03,040 Speaker 1: that I like movies, and I don't want the film 816 00:46:03,080 --> 00:46:05,880 Speaker 1: industry to completely crumble. And so I'm a little bit 817 00:46:05,920 --> 00:46:10,360 Speaker 1: worried because they are apparently investing a billion dollars in 818 00:46:10,400 --> 00:46:16,120 Speaker 1: the Avatar franchise. That's no one's favorite movie, and uh 819 00:46:16,320 --> 00:46:19,080 Speaker 1: they just so. I was already worried because it just 820 00:46:19,120 --> 00:46:21,759 Speaker 1: didn't seem like a franchise that people were going to 821 00:46:22,480 --> 00:46:27,080 Speaker 1: really keep going back to. But um, they just released 822 00:46:27,360 --> 00:46:31,480 Speaker 1: a photograph like hyping the next movie and it was 823 00:46:31,480 --> 00:46:35,839 Speaker 1: a bunch of child actors standing around Like it's apparently, 824 00:46:36,400 --> 00:46:40,319 Speaker 1: uh as if there's anything more depressing than a child actor, right, 825 00:46:40,560 --> 00:46:46,560 Speaker 1: it's gonna be like Jake and whatever her name's children 826 00:46:46,680 --> 00:46:50,880 Speaker 1: are going to be main characters character right, which so 827 00:46:50,920 --> 00:46:54,719 Speaker 1: they're doing like the Muppet Babies for Avatar, Like yeah, 828 00:46:54,800 --> 00:46:57,279 Speaker 1: I mean, like there's no better marketing than to have 829 00:46:57,320 --> 00:47:00,200 Speaker 1: a poster full of people you never heard of, like, 830 00:47:00,280 --> 00:47:03,680 Speaker 1: oh shit, that kid I've never seen before, isn't it? 831 00:47:03,760 --> 00:47:05,680 Speaker 1: And their child stars so they might be really hard 832 00:47:05,719 --> 00:47:09,200 Speaker 1: to watch amazing. Yeah, I mean go back and watch 833 00:47:09,280 --> 00:47:13,080 Speaker 1: Terminator two, which is James Cameron's greatest movie. I'll fight 834 00:47:13,120 --> 00:47:16,719 Speaker 1: you Jamie. Oh yeah, we've talked about it, but uh, 835 00:47:17,480 --> 00:47:20,400 Speaker 1: but like, go back and watch that, and it's a 836 00:47:20,440 --> 00:47:25,920 Speaker 1: great movie. Despite Edward for long, he was just shouting 837 00:47:26,040 --> 00:47:29,319 Speaker 1: and nagging the whole time. My mom helped him put 838 00:47:29,320 --> 00:47:33,640 Speaker 1: out a CD in Japan. Nice. The album is terrible. 839 00:47:33,680 --> 00:47:36,160 Speaker 1: It's trash, but you know, shots Daddy for a long 840 00:47:36,280 --> 00:47:38,279 Speaker 1: Miles says, the coolest parents in the world. By the way, 841 00:47:38,360 --> 00:47:42,000 Speaker 1: you should ask them about them, um child actors. Man, 842 00:47:42,320 --> 00:47:44,879 Speaker 1: I don't know. They're they've they've got to they've got 843 00:47:44,880 --> 00:47:47,359 Speaker 1: to go. They're troubling. You're not always gonna get Haley 844 00:47:47,440 --> 00:47:51,879 Speaker 1: Joell Osmond. You're not. You're just not like Haley. He's 845 00:47:51,920 --> 00:47:55,359 Speaker 1: the best. Was really good, I thought, Jonathan lit NICKI 846 00:47:55,600 --> 00:47:58,799 Speaker 1: really crushed again. NICKI, Yeah, there are some good ones, 847 00:47:58,880 --> 00:48:02,040 Speaker 1: but didn't you keep doing it? He just have that one. 848 00:48:02,280 --> 00:48:05,399 Speaker 1: Maybe he didn't want to write Yeah, live your life 849 00:48:05,440 --> 00:48:07,759 Speaker 1: Jonathan lip Niki yea, you know he was like the 850 00:48:07,800 --> 00:48:12,319 Speaker 1: game's changed, all right. Thank you so much for joining us, 851 00:48:12,400 --> 00:48:15,480 Speaker 1: Jamie loftus. Where can people follow you? You can follow 852 00:48:15,480 --> 00:48:18,320 Speaker 1: me at Hamburger Phone or you can listen to my podcast, 853 00:48:18,400 --> 00:48:21,319 Speaker 1: The back Delcast is about women in movies and it 854 00:48:21,440 --> 00:48:24,160 Speaker 1: is wonderful. Uh. And you can follow us on Twitter 855 00:48:24,280 --> 00:48:29,640 Speaker 1: at Daily Zeitgeist. We're on Instagram at the Daily Zeitgeist. Uh. 856 00:48:29,840 --> 00:48:33,359 Speaker 1: We also have a Facebook page, The Daily Zeitgeist. I'm 857 00:48:33,400 --> 00:48:40,000 Speaker 1: at Jack Underscore O'Brien, Miles I'm at Miles of Gray, Twitter, Instagram, 858 00:48:40,000 --> 00:48:44,280 Speaker 1: PlayStation network, you know, Holler and we'll be back tomorrow, 859 00:48:44,320 --> 00:49:03,240 Speaker 1: because that's what daily podcasts do. By sp