1 00:00:00,280 --> 00:00:03,440 Speaker 1: Hello the Internet, and welcome to season twenty three, episode 2 00:00:03,440 --> 00:00:08,200 Speaker 1: one of Daily's eighty for March nineteen, two thousand eighteen. 3 00:00:08,320 --> 00:00:11,479 Speaker 1: My name is Jack O'Brien a K eight six seven 4 00:00:11,600 --> 00:00:16,680 Speaker 1: five three Obriyan. That is courtesy Stewart Thomas, and I 5 00:00:16,720 --> 00:00:19,760 Speaker 1: am thrilled to be joined as always by my co host, 6 00:00:19,880 --> 00:00:23,560 Speaker 1: Mr Miles Gray. I'll pulled up to the house about 7 00:00:23,600 --> 00:00:26,160 Speaker 1: seven or eight and Masiel to the Cabby your home, 8 00:00:26,280 --> 00:00:30,520 Speaker 1: smell you greater, thank you to what ak a goddess 9 00:00:30,560 --> 00:00:33,040 Speaker 1: chairman Rice again coming through that AK, so thank you. 10 00:00:33,560 --> 00:00:36,320 Speaker 1: She is prolific and we are thrilled to be joined 11 00:00:36,320 --> 00:00:39,440 Speaker 1: in our third seat, uh by one of the funniest 12 00:00:39,479 --> 00:00:44,040 Speaker 1: comedians and you know just generally Daily's like guys guests 13 00:00:44,159 --> 00:00:50,080 Speaker 1: out there. Mr Eger, Mom place here, o, Jamie Loftus. 14 00:00:50,120 --> 00:00:54,080 Speaker 1: I'm catching up right. You might you might overtake her 15 00:00:54,120 --> 00:00:56,760 Speaker 1: something I'm trying to. We have this we go back 16 00:00:56,760 --> 00:00:58,760 Speaker 1: and forth on the d I'm talking trash to each 17 00:00:58,760 --> 00:01:03,240 Speaker 1: other about at Daily instagram Ms. Now, yeah, that is correct. 18 00:01:03,840 --> 00:01:07,039 Speaker 1: She has been banned in Twitter. Yeah, I think she 19 00:01:07,080 --> 00:01:09,480 Speaker 1: might come back. She'll be back. It seems like they're 20 00:01:09,760 --> 00:01:12,160 Speaker 1: she was only waiting for like the IOC to not 21 00:01:12,319 --> 00:01:15,920 Speaker 1: complaint to renew their complaint, and that might have happened. 22 00:01:15,920 --> 00:01:19,399 Speaker 1: But again, watch this spaceger. What is something from your 23 00:01:19,440 --> 00:01:21,760 Speaker 1: search history that is a feeling bad? Who? You are? All? Right? 24 00:01:21,800 --> 00:01:26,080 Speaker 1: Here we go? What if I have been searching? Oh, 25 00:01:26,280 --> 00:01:29,960 Speaker 1: Rick and Morty season four isn't happening. I don't know 26 00:01:29,959 --> 00:01:32,040 Speaker 1: if you guys have heard, but Adults Swim has yet 27 00:01:32,120 --> 00:01:35,480 Speaker 1: to order a fourth season from them. Wouldn't that be 28 00:01:35,520 --> 00:01:38,839 Speaker 1: like their top rated show? Is that not what's happening? 29 00:01:38,920 --> 00:01:41,520 Speaker 1: I don't understand what's happening. But someone tweeted at Dan 30 00:01:41,560 --> 00:01:44,639 Speaker 1: Harmon and said, hey, you lazy piece of ship, stop 31 00:01:44,680 --> 00:01:46,760 Speaker 1: being an alcoholic and right the next season of Rick 32 00:01:46,800 --> 00:01:49,480 Speaker 1: and Morty and he was like, there's no season because 33 00:01:49,520 --> 00:01:51,680 Speaker 1: season has not been ordered. Yeah, so the chef can't 34 00:01:51,720 --> 00:01:54,960 Speaker 1: get cooking unless you put the order in. Okay, Edgar, 35 00:01:55,160 --> 00:01:58,280 Speaker 1: what is something that you think is underrated? I think 36 00:01:58,640 --> 00:02:02,400 Speaker 1: March Madness is underrated? Guys underrating just came in and 37 00:02:02,400 --> 00:02:04,920 Speaker 1: said the brackets were bullshit. I'm hurt by them. I 38 00:02:04,920 --> 00:02:08,280 Speaker 1: didn't say bullshit in the tournament itself. The tournament itself 39 00:02:08,560 --> 00:02:11,760 Speaker 1: beautiful that it was true. I was hanging out in 40 00:02:11,960 --> 00:02:14,679 Speaker 1: a public house on Saturday night and to watch an 41 00:02:15,000 --> 00:02:18,799 Speaker 1: entire bar lose their ship. When Jordan Poole hit that shot, 42 00:02:19,200 --> 00:02:22,000 Speaker 1: that was so fun. That's beautiful, you know, if you 43 00:02:22,040 --> 00:02:23,959 Speaker 1: can't get that in any other sports. I was having 44 00:02:24,000 --> 00:02:26,760 Speaker 1: dinner with friends and one of one of our friends 45 00:02:26,760 --> 00:02:28,680 Speaker 1: he went to Michigan and he was like, Okay, can 46 00:02:28,680 --> 00:02:30,639 Speaker 1: we turn the game on? Like they're down by one 47 00:02:30,720 --> 00:02:32,480 Speaker 1: or two or something, and I was like, all right, 48 00:02:32,520 --> 00:02:34,680 Speaker 1: we turned it on and by the time like everything 49 00:02:34,760 --> 00:02:38,200 Speaker 1: loads up, it's the replay of this shot and we 50 00:02:38,360 --> 00:02:41,519 Speaker 1: literally turned in maybe five seconds after. They're like it's unbelievable, 51 00:02:41,560 --> 00:02:44,079 Speaker 1: and we're like, oh, so is this like this happened, 52 00:02:44,120 --> 00:02:46,840 Speaker 1: and then we had like a latent reaction. It was 53 00:02:46,919 --> 00:02:49,440 Speaker 1: so cool. I watched did you watch the whole game? 54 00:02:49,639 --> 00:02:51,680 Speaker 1: I watched that second half. That was one of the 55 00:02:51,680 --> 00:02:53,519 Speaker 1: better games I've ever seen. It was just like back 56 00:02:53,560 --> 00:02:56,040 Speaker 1: and forth, like trading buckets the whole time. It was 57 00:02:56,720 --> 00:02:58,920 Speaker 1: such a good game. I'm really happy to that kid 58 00:02:58,960 --> 00:03:03,920 Speaker 1: who had James Ray's exact haircut was shamed because he 59 00:03:04,000 --> 00:03:07,040 Speaker 1: was talking and I was ashamed that he had my 60 00:03:07,120 --> 00:03:09,840 Speaker 1: last name. But yeah, that's that was a weird little 61 00:03:09,880 --> 00:03:11,920 Speaker 1: man bun. He was. It was weird and I and 62 00:03:11,960 --> 00:03:13,720 Speaker 1: I said this as I was watching the game, was like, 63 00:03:13,800 --> 00:03:16,640 Speaker 1: a man bun looks really odd on a child, like 64 00:03:16,840 --> 00:03:19,040 Speaker 1: that hairstyle, like because you feel like that's like a 65 00:03:19,080 --> 00:03:26,880 Speaker 1: grizzled like adult look. Is that his brother something? I 66 00:03:26,880 --> 00:03:31,480 Speaker 1: I think it's he is not a Game of Thrones character, 67 00:03:31,520 --> 00:03:34,240 Speaker 1: even though it sounds like it should be. Really he's 68 00:03:34,400 --> 00:03:37,920 Speaker 1: a six one character who because he's playing basketball against 69 00:03:38,040 --> 00:03:40,920 Speaker 1: taller people, looks like he's like five six out there, 70 00:03:41,120 --> 00:03:44,960 Speaker 1: but he just fills it up. But he has a 71 00:03:44,960 --> 00:03:47,120 Speaker 1: man bun. And then his little brother had a man 72 00:03:47,200 --> 00:03:50,280 Speaker 1: bun and was like, see this is I believe that 73 00:03:51,280 --> 00:03:53,920 Speaker 1: is cool to have your brother look like you. And 74 00:03:53,960 --> 00:03:56,440 Speaker 1: the commentators like kept going to him like they did. 75 00:03:56,560 --> 00:03:59,120 Speaker 1: They showed that every single time his brother scored, and 76 00:03:59,160 --> 00:04:01,640 Speaker 1: his brother scored all he had the most points through 77 00:04:01,640 --> 00:04:05,400 Speaker 1: two rounds of any player other than Steph Curry. So 78 00:04:05,480 --> 00:04:09,120 Speaker 1: like he was bawling and the point away from Steph Curry, right, 79 00:04:09,560 --> 00:04:10,960 Speaker 1: I think he was more than a point. I think 80 00:04:10,960 --> 00:04:13,200 Speaker 1: Steph Curry was in the seventies and he was at 81 00:04:13,360 --> 00:04:17,040 Speaker 1: sixty one. But uh yeah, it was just a really 82 00:04:17,040 --> 00:04:19,919 Speaker 1: good game. I don't know. I don't know how I 83 00:04:19,920 --> 00:04:23,760 Speaker 1: feel about CBS constantly showing the families of the players 84 00:04:23,760 --> 00:04:26,320 Speaker 1: and the families of the coaches, because it's like none 85 00:04:26,320 --> 00:04:29,640 Speaker 1: of those people are It's just like purely unguarded moments, 86 00:04:29,760 --> 00:04:31,760 Speaker 1: you know, right where they're like and then end up 87 00:04:31,760 --> 00:04:33,520 Speaker 1: getting targeted. I don't know if you saw it happened 88 00:04:33,520 --> 00:04:35,800 Speaker 1: to the Duke mom against the team that they're playing, 89 00:04:35,839 --> 00:04:38,000 Speaker 1: but the kids started taunting her and attacking her and 90 00:04:38,080 --> 00:04:40,600 Speaker 1: yelling at her, and su they were able to identify 91 00:04:40,720 --> 00:04:44,680 Speaker 1: Wendell Carter's mom because you know y CBS kept cutting 92 00:04:44,720 --> 00:04:48,919 Speaker 1: to and if I could pick, like the ten moments 93 00:04:48,960 --> 00:04:51,880 Speaker 1: I would not want to be nationally televised from my 94 00:04:52,120 --> 00:04:54,720 Speaker 1: life up to this point. I'd say nine of them 95 00:04:54,760 --> 00:04:57,680 Speaker 1: are from games that my dad, the basketball coach, and 96 00:04:57,839 --> 00:05:00,880 Speaker 1: from games that he was coaching. Like I I get 97 00:05:01,000 --> 00:05:03,680 Speaker 1: very fired up during those games, and then like ten 98 00:05:03,720 --> 00:05:06,040 Speaker 1: seconds later, I'm like, damn, I really overreacted to that. 99 00:05:07,560 --> 00:05:10,320 Speaker 1: Would love I would love, love love to see a 100 00:05:10,360 --> 00:05:14,119 Speaker 1: shot of you just spilling nachos on yourself after JJ 101 00:05:14,200 --> 00:05:20,360 Speaker 1: redated three at Toronesota at somebody when I was like twelve, Yeah, Jack, O'Brien. Yeah, 102 00:05:20,560 --> 00:05:22,520 Speaker 1: I mean he was like a fifty year old big 103 00:05:22,680 --> 00:05:26,680 Speaker 1: that doesn't jack. Was he taunted you or something? He 104 00:05:26,760 --> 00:05:29,440 Speaker 1: was just like an annoying Uh. I think he was 105 00:05:29,520 --> 00:05:33,640 Speaker 1: a State fan. This was when my dad was an 106 00:05:33,640 --> 00:05:36,760 Speaker 1: assistant for the University of Kentucky during the SEC tournament. 107 00:05:37,200 --> 00:05:40,160 Speaker 1: Shout out to you a big, fat, fifty year old 108 00:05:40,160 --> 00:05:44,000 Speaker 1: white dude with a cowboy hat to Roota's probably definitely 109 00:05:44,640 --> 00:05:49,200 Speaker 1: anyways that day. But March Madness is wonderful. I suggest 110 00:05:49,240 --> 00:05:52,000 Speaker 1: people who are thinking about having kids line it up 111 00:05:52,040 --> 00:05:54,760 Speaker 1: so you are having your child right before March Madness, 112 00:05:54,760 --> 00:05:57,039 Speaker 1: because I just sit on the couch all day burping 113 00:05:57,080 --> 00:05:59,600 Speaker 1: my son and it was like, Yeah, it's like one 114 00:05:59,640 --> 00:06:03,520 Speaker 1: of the those types of entertainment that uh, you know, 115 00:06:03,600 --> 00:06:06,080 Speaker 1: the whole family can have on in the background, even 116 00:06:06,120 --> 00:06:09,279 Speaker 1: a newborn child's enjoyable. That sounds that sounds like a 117 00:06:09,400 --> 00:06:11,760 Speaker 1: very bad way to father. So you got in a 118 00:06:11,760 --> 00:06:14,000 Speaker 1: lot of contact hours with a lot of a lot 119 00:06:14,040 --> 00:06:15,880 Speaker 1: of skin to skin, a lot of skin strapped the 120 00:06:15,920 --> 00:06:17,680 Speaker 1: child on the game. He's starting to look like a 121 00:06:17,760 --> 00:06:20,359 Speaker 1: human being, you guys. Oh, no longer is he opening 122 00:06:20,360 --> 00:06:22,920 Speaker 1: his eyes more. He's opening his eyes. People keep saying 123 00:06:22,960 --> 00:06:24,400 Speaker 1: he looks like me. I don't think he looks like 124 00:06:24,440 --> 00:06:25,960 Speaker 1: me at all, but you're like, I think he looks 125 00:06:25,960 --> 00:06:30,960 Speaker 1: like a baby, like a baby, exactly. That's offensive. Yeah, 126 00:06:31,000 --> 00:06:33,839 Speaker 1: I'm just a nightmare at home. You guess, fucking baby, 127 00:06:34,040 --> 00:06:43,840 Speaker 1: fucking man exactly, U eggar. What's something you think is overrated? Video? So? 128 00:06:46,560 --> 00:06:54,840 Speaker 1: I know, fucking baby video? Oh p on on he 129 00:06:55,320 --> 00:06:58,440 Speaker 1: can that African? Dude? Have you seen that African goes 130 00:06:58,480 --> 00:07:06,800 Speaker 1: on Nigeria's ut? Yeah? Yeah, the seven years old. Yeah, 131 00:07:06,839 --> 00:07:09,600 Speaker 1: just look up, you know, I know, fucking baby and that. Okay, 132 00:07:10,120 --> 00:07:12,360 Speaker 1: it shouldn't be funny because it's a merrow thing. Yeah, 133 00:07:12,480 --> 00:07:15,080 Speaker 1: they suffer from dwarfism and it's not funny, but it's 134 00:07:15,120 --> 00:07:17,360 Speaker 1: also very fun Well, what's weird is that guy he 135 00:07:17,440 --> 00:07:19,240 Speaker 1: leans into it so much, Like I follow him on 136 00:07:19,280 --> 00:07:21,360 Speaker 1: all the social media because I just love his whole 137 00:07:21,360 --> 00:07:24,160 Speaker 1: style and he's the way he spells Connecticut uh and 138 00:07:24,240 --> 00:07:29,240 Speaker 1: snatch a cannut cricket. But but he doesn't given anyway. 139 00:07:29,400 --> 00:07:32,040 Speaker 1: This guy Jonathan, he's from the Dominican but yeah, like 140 00:07:32,320 --> 00:07:35,000 Speaker 1: on his Instagram, he's always like doing collapse with other 141 00:07:35,080 --> 00:07:38,360 Speaker 1: quote unquote Instagram comedians and they're just being like, you know, 142 00:07:38,400 --> 00:07:42,640 Speaker 1: putting him in diapers, and he's like doing I'm like yeah, 143 00:07:42,880 --> 00:07:45,200 Speaker 1: but again I'm like, you know, he realizes it's got 144 00:07:45,240 --> 00:07:48,000 Speaker 1: him like a million followers. That like then some social 145 00:07:48,000 --> 00:07:50,000 Speaker 1: media people just like that's my thing and that's your money. 146 00:07:50,560 --> 00:07:53,840 Speaker 1: It was problematic does he have body hair like in 147 00:07:53,880 --> 00:07:59,760 Speaker 1: the diaper na? So he first, yeah, I'm just sorry 148 00:07:59,800 --> 00:08:03,040 Speaker 1: how I'm curious about his conditions because he it's not 149 00:08:03,120 --> 00:08:06,520 Speaker 1: just that he is a little person. He looks like 150 00:08:06,560 --> 00:08:10,640 Speaker 1: a looks like a child. It's like like Emmanuel Lewis 151 00:08:10,680 --> 00:08:13,320 Speaker 1: the same thing, but you know, he has no facial hair. 152 00:08:13,480 --> 00:08:15,360 Speaker 1: But like, yo, it's funny because in the videos he's 153 00:08:15,400 --> 00:08:18,000 Speaker 1: like he's drinking a beer in the car, like he's 154 00:08:18,000 --> 00:08:21,440 Speaker 1: always he brings a hookomok yeah, constantly smoking. Yeah. I 155 00:08:21,480 --> 00:08:23,400 Speaker 1: was just thinking that that would be weird if he 156 00:08:23,480 --> 00:08:25,280 Speaker 1: was wearing a diaper and like he just had the 157 00:08:25,320 --> 00:08:28,000 Speaker 1: torso of like a forty year old man. Like just 158 00:08:28,040 --> 00:08:31,560 Speaker 1: like that little kid trap rapper from Atlanta that's been 159 00:08:31,560 --> 00:08:33,559 Speaker 1: like popping all over the internet last week. I can't 160 00:08:33,559 --> 00:08:36,040 Speaker 1: remember his name. It's like little Something but no really 161 00:08:36,040 --> 00:08:38,360 Speaker 1: he's like it's a little something he's a child, and 162 00:08:38,360 --> 00:08:40,320 Speaker 1: it's a video of him drinking a forty while driving 163 00:08:40,320 --> 00:08:43,720 Speaker 1: a car highway. I don't know why that is so 164 00:08:43,760 --> 00:08:45,720 Speaker 1: funny to me. It shouldn't be funny. It's so illegal 165 00:08:45,880 --> 00:08:49,400 Speaker 1: that so many different levels. It's the idea of a 166 00:08:49,480 --> 00:08:52,200 Speaker 1: kid who could give less of a funk about anything, 167 00:08:52,480 --> 00:08:54,319 Speaker 1: and he wrapped about like skipping school to sell to 168 00:08:54,400 --> 00:08:57,320 Speaker 1: sling drugs. It's funny as it shouldn't be funny, but 169 00:08:57,320 --> 00:09:00,400 Speaker 1: it is something that is overrated. Wow, okay, why don't 170 00:09:00,400 --> 00:09:03,679 Speaker 1: you take over the show? What is something that's overrated? 171 00:09:04,400 --> 00:09:08,079 Speaker 1: Season three of Love? Oh okay, okay, listen, all right, 172 00:09:08,280 --> 00:09:09,960 Speaker 1: I have I've tried. You know, all these people were 173 00:09:10,000 --> 00:09:12,320 Speaker 1: tweeting at me like gradl, finish it off, finish it off, 174 00:09:12,360 --> 00:09:15,360 Speaker 1: And I've tried, I think. And this is no shade 175 00:09:15,400 --> 00:09:18,880 Speaker 1: towards Judd Apataw, But man does that make go out 176 00:09:18,880 --> 00:09:20,760 Speaker 1: of his way to make his shows white white? Like 177 00:09:20,840 --> 00:09:23,880 Speaker 1: he goes out of his They're like some easy characters 178 00:09:23,880 --> 00:09:26,440 Speaker 1: that could just be black people, Like I think Matt 179 00:09:26,440 --> 00:09:28,560 Speaker 1: Besser is very funny. But if you're gonna have a 180 00:09:28,600 --> 00:09:31,080 Speaker 1: tour bus guy with the attitude that's a black woman, 181 00:09:31,240 --> 00:09:35,760 Speaker 1: roll easy. Ain't gonna give it to Matt Besser, who 182 00:09:35,760 --> 00:09:40,000 Speaker 1: I do think is very, very funny. It's just like, man, 183 00:09:40,040 --> 00:09:42,480 Speaker 1: that show just tries its hardest to be white. Yeah, 184 00:09:42,520 --> 00:09:44,400 Speaker 1: I mean that's that was one of the reasons. The 185 00:09:44,440 --> 00:09:46,600 Speaker 1: first season I was like, Oh, this is cool. I 186 00:09:46,280 --> 00:09:49,479 Speaker 1: I like this take on like you know what romances 187 00:09:49,600 --> 00:09:52,560 Speaker 1: to this generation. But then yeah, like when season two happened, 188 00:09:52,600 --> 00:09:55,080 Speaker 1: I was like, oh, I don't know. It's one of 189 00:09:55,080 --> 00:09:57,040 Speaker 1: those shows that, aside from the first season, just to 190 00:09:57,080 --> 00:09:58,920 Speaker 1: know what it was about, it didn't keep me like 191 00:09:59,160 --> 00:10:00,840 Speaker 1: hooked that. I was, Oh, I need to see season 192 00:10:00,880 --> 00:10:02,760 Speaker 1: two or I need to see season three. As at 193 00:10:02,960 --> 00:10:05,480 Speaker 1: one of the only black characters serves food to everybody 194 00:10:05,480 --> 00:10:11,160 Speaker 1: on the set, Jesus Christ. You mean like off camera. Yeah, yeah, 195 00:10:11,679 --> 00:10:13,920 Speaker 1: the Jude who does crafty. But I don't know, maybe 196 00:10:13,920 --> 00:10:15,719 Speaker 1: I'm being too hard on the show. No, I mean 197 00:10:15,720 --> 00:10:17,800 Speaker 1: I think. I mean people like it. I've from what 198 00:10:17,880 --> 00:10:20,720 Speaker 1: even aside from that, I think just from the narrative 199 00:10:20,760 --> 00:10:22,440 Speaker 1: of it, it just didn't really have me hooked past 200 00:10:22,480 --> 00:10:24,120 Speaker 1: that first season. Although there are a lot of good 201 00:10:24,200 --> 00:10:28,079 Speaker 1: other characters. It's funny. I just watched my first episode 202 00:10:28,080 --> 00:10:36,839 Speaker 1: of Love earlier like that, uh this week being married. Uh, 203 00:10:36,960 --> 00:10:40,280 Speaker 1: I was just yeah, I guess there's like really very 204 00:10:40,320 --> 00:10:42,840 Speaker 1: low stakes because I'm just like that that looks like 205 00:10:42,880 --> 00:10:46,640 Speaker 1: it sucks. But but yeah, my only impression of it 206 00:10:46,760 --> 00:10:50,959 Speaker 1: was that the main storyline, like the main characters were 207 00:10:51,679 --> 00:10:55,440 Speaker 1: pretty hard to watch. They're very unlikable. But then the 208 00:10:55,520 --> 00:10:58,040 Speaker 1: side characters are awesome, Like it seems like it's a 209 00:10:58,080 --> 00:11:01,800 Speaker 1: good opportunity for them to show like talent from UCB 210 00:11:02,040 --> 00:11:07,079 Speaker 1: essentially Claudio Doherty and is funny, and uh there's her. 211 00:11:07,440 --> 00:11:09,480 Speaker 1: She has like a coked up boyfriend who is pretty 212 00:11:09,480 --> 00:11:11,360 Speaker 1: funny in it. Uh, a lot of these things that 213 00:11:11,400 --> 00:11:12,880 Speaker 1: people got together. I was like, oh, look at all 214 00:11:12,920 --> 00:11:18,240 Speaker 1: these people from UCB. Kirby, Yeah, it comes through. Yeah, 215 00:11:17,600 --> 00:11:20,880 Speaker 1: it's great when someone's working when you can be like, yo, 216 00:11:21,000 --> 00:11:24,200 Speaker 1: everybody getting to check off this show. Shout outs to 217 00:11:24,240 --> 00:11:26,840 Speaker 1: Paul rust right, he did hook up with And again 218 00:11:26,920 --> 00:11:28,360 Speaker 1: I get it, you can put in your friends, but 219 00:11:28,400 --> 00:11:30,640 Speaker 1: I don't know, you know, maybe it says something that 220 00:11:30,640 --> 00:11:32,400 Speaker 1: when a UCB person gets a show and they put 221 00:11:32,440 --> 00:11:34,920 Speaker 1: up all their friends, all their friends are white. Right. Yeah, 222 00:11:34,960 --> 00:11:37,000 Speaker 1: Well I just got an email I've been cut from 223 00:11:37,040 --> 00:11:45,400 Speaker 1: Heroin Talk would you say that's uh an inaccurate representation 224 00:11:45,480 --> 00:11:48,120 Speaker 1: of the culture that it is depicting because it's like 225 00:11:48,160 --> 00:11:52,400 Speaker 1: about hipster white people and it's not. It's not inaccurate. 226 00:11:52,440 --> 00:11:55,120 Speaker 1: I just wish that there was like Insecure is dope, 227 00:11:55,640 --> 00:11:57,760 Speaker 1: But like I mean, I'm not from there, you know 228 00:11:57,800 --> 00:11:59,400 Speaker 1: what I mean, I'm not from that side of town. 229 00:11:59,760 --> 00:12:02,679 Speaker 1: I do you think that at times we associate Silver 230 00:12:02,800 --> 00:12:05,680 Speaker 1: Lake or Echo Park with white people, But there's a 231 00:12:05,800 --> 00:12:07,960 Speaker 1: there's a people of color crew out here that standing strong, 232 00:12:08,040 --> 00:12:10,720 Speaker 1: you know what I mean. He's stand in lines for 233 00:12:11,200 --> 00:12:17,240 Speaker 1: shortstop to you know what I'm saying. Yeah, but also too, 234 00:12:17,240 --> 00:12:19,000 Speaker 1: I think when you look at those areas too, they're 235 00:12:19,200 --> 00:12:21,480 Speaker 1: I mean, they're mostly Hispanic, they are, I mean, those 236 00:12:21,520 --> 00:12:24,240 Speaker 1: people aren't Like Yo, if you grew up there, you 237 00:12:24,360 --> 00:12:26,680 Speaker 1: have the neighbor who is like I used to have 238 00:12:26,720 --> 00:12:28,960 Speaker 1: the neighbors Silver like, who had so many like mountain 239 00:12:29,000 --> 00:12:32,360 Speaker 1: dew refrigerators, like you know, promotional refrigerator cases that he 240 00:12:32,360 --> 00:12:35,320 Speaker 1: would disassemble and was like making one master refrigerator. Always 241 00:12:35,360 --> 00:12:37,840 Speaker 1: kept telling me. But you know, like they're quirky people 242 00:12:37,840 --> 00:12:39,480 Speaker 1: if you live in there, like, there are also many 243 00:12:39,600 --> 00:12:42,440 Speaker 1: people who like are of those neighborhoods because those are 244 00:12:42,480 --> 00:12:45,120 Speaker 1: gentrified as fun. There's a house on Virgil and Fountain 245 00:12:45,480 --> 00:12:49,000 Speaker 1: that clearly stole the McDonald's sign from the McDonald's on 246 00:12:49,040 --> 00:12:51,520 Speaker 1: Fountain in Sunset, which is right next to it, when 247 00:12:51,600 --> 00:12:56,160 Speaker 1: he clearly stole Like it has a gigantic McDonald's m 248 00:12:56,200 --> 00:12:59,720 Speaker 1: attached to the house. I don't like you guys clearly 249 00:12:59,720 --> 00:13:02,600 Speaker 1: got this. The McDonald's block away. Yeah, they're like the one. 250 00:13:02,600 --> 00:13:05,120 Speaker 1: Oh the McDonald's that's missing there am n No, that 251 00:13:05,240 --> 00:13:08,319 Speaker 1: is that's not that one, like you know, So it 252 00:13:08,400 --> 00:13:11,079 Speaker 1: would be refreshing, Like I love, You're the worst, I'm 253 00:13:11,200 --> 00:13:13,760 Speaker 1: I'm liking love, But it would be refreshing to see 254 00:13:13,760 --> 00:13:15,960 Speaker 1: a show about these neighborhoods that reflected the people that 255 00:13:16,000 --> 00:13:20,839 Speaker 1: live there. We're getting there. There's so many people of color. 256 00:13:20,960 --> 00:13:23,319 Speaker 1: So maybe I'll just say Judd Apatow is overrated as 257 00:13:23,360 --> 00:13:27,760 Speaker 1: a producer. Um. And then finally, what is a myth? 258 00:13:27,880 --> 00:13:30,840 Speaker 1: What's something people believe to be true that you know 259 00:13:31,080 --> 00:13:34,280 Speaker 1: to be false based on personal experience? Absolutely? Uh, this 260 00:13:34,320 --> 00:13:36,839 Speaker 1: one is. I mean it's not shade at it, but 261 00:13:37,360 --> 00:13:40,000 Speaker 1: on the culture Kings, you'll hear it take about a 262 00:13:40,040 --> 00:13:44,679 Speaker 1: certain island from someone who you know isn't familiar with 263 00:13:44,720 --> 00:13:46,920 Speaker 1: that island very much. And it's the idea that Haiti 264 00:13:47,040 --> 00:13:51,280 Speaker 1: is is bro gass nation. I challenge anyone because you 265 00:13:51,320 --> 00:13:54,719 Speaker 1: have the president culture. I have compared this person to 266 00:13:54,800 --> 00:13:57,880 Speaker 1: DT before it didn't go so well. We'll call him 267 00:13:57,880 --> 00:14:02,319 Speaker 1: CT from the world. Yeah, from the real world challenge 268 00:14:03,320 --> 00:14:07,440 Speaker 1: as I mean, it's yeah, but that hades is broadcast nation. 269 00:14:07,800 --> 00:14:09,680 Speaker 1: Uh go to Haiti and some of the most beautiful 270 00:14:09,960 --> 00:14:12,400 Speaker 1: places in the world are They're of the mountains there 271 00:14:12,440 --> 00:14:14,800 Speaker 1: are very beautiful. The beaches they are very beautiful, very 272 00:14:14,800 --> 00:14:17,880 Speaker 1: good water, very good food, very good culture. Uh. And 273 00:14:17,920 --> 00:14:20,520 Speaker 1: I just like, you know, I think that the media 274 00:14:20,600 --> 00:14:22,960 Speaker 1: only talks about black nations and bad things are happening. 275 00:14:23,280 --> 00:14:25,680 Speaker 1: And I think that people who walk away with these 276 00:14:25,680 --> 00:14:27,880 Speaker 1: takes are at the fault of the media. And if 277 00:14:27,880 --> 00:14:30,560 Speaker 1: the media could do a better job of representing these places, 278 00:14:30,840 --> 00:14:32,440 Speaker 1: like you know, like the idea that people have that 279 00:14:32,520 --> 00:14:36,200 Speaker 1: Africa is just like a waste of child which is 280 00:14:36,240 --> 00:14:39,280 Speaker 1: like what win Zimbab boys like fucking dope and has 281 00:14:39,360 --> 00:14:41,480 Speaker 1: way better urban spots than a lot of places where 282 00:14:41,520 --> 00:14:46,200 Speaker 1: these niggas live. And uh so the myth that black 283 00:14:46,280 --> 00:14:49,400 Speaker 1: nations are like, you know, these struggle these struggle pods. 284 00:14:49,480 --> 00:14:51,960 Speaker 1: I'm kind of over it. Yeah, well, I mean sure, yeah, 285 00:14:51,960 --> 00:14:56,120 Speaker 1: there's a certain level of financial economic instability in these places, 286 00:14:56,120 --> 00:14:58,880 Speaker 1: but that doesn't tinge the day to day life experience 287 00:14:58,880 --> 00:15:00,480 Speaker 1: of these people. Had go to Jock mel and it's 288 00:15:00,480 --> 00:15:02,120 Speaker 1: more beautiful than any place you've ever been to in 289 00:15:02,160 --> 00:15:05,480 Speaker 1: your life. This is facts. That's Haiti. Yeah, that's in Haiti. 290 00:15:05,520 --> 00:15:07,640 Speaker 1: That's where my father is from. In Haiti. A small 291 00:15:07,680 --> 00:15:10,720 Speaker 1: town or was it was a small town? Nice. Uh, 292 00:15:10,800 --> 00:15:15,040 Speaker 1: he's just a small town boy living in the lonely world. Uh. 293 00:15:15,040 --> 00:15:18,920 Speaker 1: That was beautiful, man, thank you anywhere. Yeah, there's no 294 00:15:18,960 --> 00:15:25,880 Speaker 1: trains in Haiti. Yeah, sick the midnight van I didn't 295 00:15:25,880 --> 00:15:30,800 Speaker 1: say anything about trades. That's beautiful. All right, let's get 296 00:15:30,840 --> 00:15:33,840 Speaker 1: into the stories of the day. We wanted to start 297 00:15:33,840 --> 00:15:38,160 Speaker 1: out with one that's kind of becoming bigger and bigger. Uh. 298 00:15:38,280 --> 00:15:42,640 Speaker 1: There was a serial bomber like old timey Batman style, 299 00:15:42,800 --> 00:15:47,320 Speaker 1: a serial bomber like terrorizing the town of Austin. Uh. 300 00:15:47,640 --> 00:15:52,640 Speaker 1: You know, and specifically the first three victims were people 301 00:15:52,640 --> 00:15:56,240 Speaker 1: of color. Uh. And two of the bombs seemed specifically 302 00:15:56,240 --> 00:16:02,040 Speaker 1: targeted at the people who uh were killed by them, um, 303 00:16:02,120 --> 00:16:03,880 Speaker 1: and then one of them was just somebody who I 304 00:16:03,880 --> 00:16:06,360 Speaker 1: think found it and was carrying it somewhere else, the 305 00:16:06,440 --> 00:16:09,440 Speaker 1: older woman. But so all three of the first three 306 00:16:09,520 --> 00:16:14,720 Speaker 1: victims were people of color. And then yesterday to twenty 307 00:16:14,760 --> 00:16:19,400 Speaker 1: something white guys were injured but not killed by a 308 00:16:19,440 --> 00:16:24,160 Speaker 1: trip wire induced bomb that blew up in southwest Austin, 309 00:16:24,240 --> 00:16:26,960 Speaker 1: which I don't know much about Austin. What two white 310 00:16:27,000 --> 00:16:29,800 Speaker 1: dudes got killed by this bomb? Right, we gotta stop 311 00:16:29,800 --> 00:16:33,320 Speaker 1: talking about. Yeah, they didn't get killed, they didn't get killed. 312 00:16:33,320 --> 00:16:39,240 Speaker 1: They they didn't get killed. Yeah, it's jack brought up 313 00:16:39,240 --> 00:16:41,880 Speaker 1: sort of like how when the first guy was killed, 314 00:16:42,000 --> 00:16:45,920 Speaker 1: the coverage was very weird from Fox. Yeah, so I 315 00:16:46,440 --> 00:16:49,560 Speaker 1: was googling around about this last week because we thought 316 00:16:49,640 --> 00:16:52,240 Speaker 1: it was crazy that three people had been blown up 317 00:16:52,280 --> 00:16:54,880 Speaker 1: by a serial bomber, like the UNI Bomber. People probably 318 00:16:54,880 --> 00:17:01,120 Speaker 1: don't remember this, but UNI Bomber was the hottest ship. 319 00:17:01,200 --> 00:17:05,080 Speaker 1: No it was. The UNI bomber was like, yeah it was, 320 00:17:05,280 --> 00:17:08,159 Speaker 1: and so and also he would like send out a 321 00:17:08,160 --> 00:17:11,239 Speaker 1: bomb like every like a couple of months maybe, and 322 00:17:11,280 --> 00:17:13,679 Speaker 1: like this dude was like, whoever is doing this in 323 00:17:13,720 --> 00:17:16,040 Speaker 1: Austin sent out three bombs within the space of like 324 00:17:16,160 --> 00:17:19,280 Speaker 1: a couple of weeks and had already like killed two people. 325 00:17:19,400 --> 00:17:22,000 Speaker 1: But so I was googling around about it yesterday and 326 00:17:22,359 --> 00:17:26,119 Speaker 1: or last week, and Fox News covered the first victim 327 00:17:26,320 --> 00:17:28,840 Speaker 1: of the Austin Cereal bomber in a way that was 328 00:17:28,880 --> 00:17:31,800 Speaker 1: basically like he probably did it himself. Look at this 329 00:17:31,840 --> 00:17:34,320 Speaker 1: guy and they had like a mud shot picture of 330 00:17:34,440 --> 00:17:38,400 Speaker 1: him where he looks like kind of crazy, and uh yeah, 331 00:17:38,480 --> 00:17:41,160 Speaker 1: the title of the article is Texas man killed by 332 00:17:41,240 --> 00:17:45,840 Speaker 1: quote device at home identified as police probe if he 333 00:17:46,000 --> 00:17:51,200 Speaker 1: constructed it. That's how they covered that story. And then 334 00:17:51,800 --> 00:17:53,479 Speaker 1: you know, yeah, I think it seems like now that 335 00:17:53,520 --> 00:17:57,080 Speaker 1: it's like four bombs, the cops are now doing the Okay, 336 00:17:57,080 --> 00:18:01,600 Speaker 1: clearly you want something. So what is coloradus having like 337 00:18:01,680 --> 00:18:05,560 Speaker 1: conversations that are like coded. There was like one where 338 00:18:05,720 --> 00:18:10,320 Speaker 1: yesterday they were like, clearly, you know people who can 339 00:18:10,440 --> 00:18:13,920 Speaker 1: like help with this, or they were referring to the 340 00:18:14,000 --> 00:18:16,720 Speaker 1: reward in a weird way and they were like, he'll 341 00:18:16,760 --> 00:18:19,840 Speaker 1: know what we're talking about. And it was just like 342 00:18:19,880 --> 00:18:23,399 Speaker 1: one of those weird sort of cryptic conversations where the 343 00:18:23,440 --> 00:18:26,879 Speaker 1: police and the bomber believe they're in like locked in 344 00:18:26,920 --> 00:18:31,119 Speaker 1: this secret conversation or something. Uh, just a all around 345 00:18:31,200 --> 00:18:33,720 Speaker 1: fucking crazy story. And this is all happening while south 346 00:18:33,760 --> 00:18:36,960 Speaker 1: By Southwest is happening down there in Austin, and people 347 00:18:37,080 --> 00:18:39,680 Speaker 1: like shows got canceled too because of it, right, yeah, 348 00:18:39,720 --> 00:18:42,720 Speaker 1: a Roots show. I'm surprised more shows didn't get canceled, 349 00:18:42,760 --> 00:18:46,080 Speaker 1: but yeah, the Roots canceled because they're like people there 350 00:18:46,080 --> 00:18:49,840 Speaker 1: so well that somebody called specifically a bomb threat in 351 00:18:50,200 --> 00:18:52,200 Speaker 1: and they caught the person who called who called the 352 00:18:52,240 --> 00:18:55,960 Speaker 1: bomb threat in, butund Yeah, basically they're just like, oh, 353 00:18:56,000 --> 00:18:59,960 Speaker 1: this person has this person does not have the expert 354 00:19:00,040 --> 00:19:02,119 Speaker 1: cheese to build these bombs. So that's the crazy thing 355 00:19:02,160 --> 00:19:05,280 Speaker 1: is that they're saying. At first they were like, hey, 356 00:19:05,359 --> 00:19:08,560 Speaker 1: you know, serial bomber, you should really be careful because 357 00:19:09,240 --> 00:19:12,320 Speaker 1: all these things you're messing around with are pretty like 358 00:19:12,760 --> 00:19:16,479 Speaker 1: volatile and unstable and you're probably gonna kill yourself if 359 00:19:16,520 --> 00:19:18,800 Speaker 1: you keep trying to make bombs like this. And then 360 00:19:18,840 --> 00:19:21,560 Speaker 1: the trip wire bomb, uh, they were like, oh shit, 361 00:19:21,680 --> 00:19:26,960 Speaker 1: this is so then. I mean, I don't know, maybe 362 00:19:27,080 --> 00:19:29,439 Speaker 1: my father watched too much n C I S around 363 00:19:29,440 --> 00:19:32,040 Speaker 1: me as a child, but if this dude has the 364 00:19:32,280 --> 00:19:35,320 Speaker 1: knowledge to make these kinds of bombs. Isn't this when 365 00:19:35,359 --> 00:19:37,840 Speaker 1: we start going like, all right, let's whittle it down 366 00:19:38,080 --> 00:19:41,879 Speaker 1: a little explosive experience. Yeah, I mean yeah. From watching 367 00:19:41,880 --> 00:19:44,280 Speaker 1: the movie Speed would also lead you to believe that, 368 00:19:44,320 --> 00:19:46,560 Speaker 1: obviously the sophistication of the bomb must have been someone 369 00:19:46,560 --> 00:19:48,920 Speaker 1: from the bomb squad, maybe a disgruntled person who had 370 00:19:48,920 --> 00:19:51,800 Speaker 1: retired from the fourth since then, but we don't know. Uh, 371 00:19:52,160 --> 00:19:54,639 Speaker 1: it's weird. But I think what's interesting is the whole like, Okay, 372 00:19:54,680 --> 00:19:56,560 Speaker 1: you clearly have a message. What is it? Because that's 373 00:19:56,560 --> 00:19:59,720 Speaker 1: really how the UNI bomber came undone is that he 374 00:20:00,000 --> 00:20:03,000 Speaker 1: had like this crazy what thirty five thousand words like 375 00:20:03,119 --> 00:20:07,439 Speaker 1: anti technology screed he wrote. You call it crazy, I 376 00:20:07,480 --> 00:20:11,640 Speaker 1: call it yeah, I mean looking at what but yeah, 377 00:20:11,800 --> 00:20:13,080 Speaker 1: Like he was to the New York Times in the 378 00:20:13,119 --> 00:20:15,200 Speaker 1: Washington Post and he was like, yo, I will stop 379 00:20:15,240 --> 00:20:18,120 Speaker 1: if you just post this, and they were like n FB. 380 00:20:18,119 --> 00:20:19,880 Speaker 1: I was like, yo, please just do whatever the funk 381 00:20:19,920 --> 00:20:21,480 Speaker 1: he wants. And then that's what led to like I 382 00:20:21,480 --> 00:20:24,600 Speaker 1: think his brother or his sister in law being like, oh, 383 00:20:25,240 --> 00:20:28,080 Speaker 1: that sounds a lot like that sounds a lot like ted. 384 00:20:28,240 --> 00:20:30,600 Speaker 1: That sounds a lot like Thanksgiving dinner at my house 385 00:20:30,760 --> 00:20:34,919 Speaker 1: like twelve years ago. That motherfucker is insufferable, So I 386 00:20:34,920 --> 00:20:37,280 Speaker 1: mean this could be. I mean again, it seems like 387 00:20:37,280 --> 00:20:40,359 Speaker 1: a weird tactor. They're like, hey, call us up, because 388 00:20:40,560 --> 00:20:42,960 Speaker 1: if you're like the logic of like someone who's a 389 00:20:43,000 --> 00:20:45,320 Speaker 1: criminal be like, why the funk would I call you guys? 390 00:20:45,359 --> 00:20:47,280 Speaker 1: And it's also I mean, I don't know, I don't 391 00:20:47,280 --> 00:20:49,800 Speaker 1: want want these word phenomenal, but like, how is he 392 00:20:49,800 --> 00:20:53,600 Speaker 1: pulling this off? Or she? You know, I don't want 393 00:20:53,640 --> 00:20:59,280 Speaker 1: to say that terrorists can only be men but mostly 394 00:20:59,280 --> 00:21:01,560 Speaker 1: men perpetrated. Hey listen, you know I'm not going to 395 00:21:01,640 --> 00:21:03,600 Speaker 1: sit here and say a woman can't make a good 396 00:21:03,640 --> 00:21:06,440 Speaker 1: bomb setting off bang banks in America's you know what 397 00:21:06,480 --> 00:21:08,840 Speaker 1: I'm saying, time honor tradition of the white man with her, 398 00:21:10,160 --> 00:21:12,680 Speaker 1: And um, I just think that how are they pulling 399 00:21:12,720 --> 00:21:15,800 Speaker 1: this off? In social media time? Like how are they not? 400 00:21:16,359 --> 00:21:18,280 Speaker 1: I don't know. I just feel like technology, like I 401 00:21:18,320 --> 00:21:21,359 Speaker 1: can't buy ship without my phone telling me like this 402 00:21:21,440 --> 00:21:23,919 Speaker 1: dude has must have so many bomb ads on his 403 00:21:24,040 --> 00:21:27,360 Speaker 1: like Instagram right now, Like his Instagram must be nothing 404 00:21:27,359 --> 00:21:31,240 Speaker 1: but fertilized, must be very careful. Uh, but yeah, I 405 00:21:31,240 --> 00:21:34,800 Speaker 1: mean he to build a bomb that is set off 406 00:21:34,800 --> 00:21:38,320 Speaker 1: by a trip wire in public, Like how does nobody 407 00:21:38,359 --> 00:21:41,000 Speaker 1: see you? And like picture of the Austin is a 408 00:21:41,000 --> 00:21:44,600 Speaker 1: weird place. Maybe they're like this guy's keeping Austin weird. 409 00:21:46,320 --> 00:21:48,800 Speaker 1: But yeah, I mean the thing and like all the 410 00:21:48,800 --> 00:21:51,879 Speaker 1: other bombs were devices that were left on people's porches, 411 00:21:52,200 --> 00:21:56,640 Speaker 1: so like I mean presumably left it there. Yeah, I'm 412 00:21:56,640 --> 00:21:58,919 Speaker 1: sure now because we're like I think like five hundred 413 00:21:59,000 --> 00:22:02,000 Speaker 1: people are on the cave, like they'll eventually there. They 414 00:22:02,000 --> 00:22:03,800 Speaker 1: may be able to, you know, put together some kind 415 00:22:03,800 --> 00:22:06,080 Speaker 1: of surveillance footage because I feel like more and more people, 416 00:22:06,119 --> 00:22:07,960 Speaker 1: even like people their own homes they have like those 417 00:22:08,040 --> 00:22:10,280 Speaker 1: rain cameras and stuff in front of their door, that 418 00:22:10,359 --> 00:22:13,120 Speaker 1: maybe they can get something together, but who knows. Yeah, 419 00:22:13,760 --> 00:22:16,080 Speaker 1: all right, we're gonna take a quick break. We'll be 420 00:22:16,240 --> 00:22:28,320 Speaker 1: right back, and we're back. And uh, we wanted to 421 00:22:28,359 --> 00:22:34,600 Speaker 1: talk about a company, uh called Cambridge Analytica that I 422 00:22:34,680 --> 00:22:36,840 Speaker 1: mean a name like that. They've got to be smart 423 00:22:37,040 --> 00:22:40,920 Speaker 1: and trustworthy, Am I right? I know that company? Yeah, 424 00:22:41,320 --> 00:22:43,879 Speaker 1: So they came up with a low energy Twitter brand 425 00:22:43,920 --> 00:22:50,840 Speaker 1: for me. Oh did that with them? With that idea 426 00:22:50,840 --> 00:22:52,760 Speaker 1: and they said, hey, start saying on boy and going 427 00:22:52,800 --> 00:22:58,520 Speaker 1: everybody energy gang, They're gonna love them, so uh really, 428 00:22:58,560 --> 00:23:01,560 Speaker 1: I mean, this is a small price to pay for 429 00:23:01,760 --> 00:23:04,600 Speaker 1: a free platform where you can pretend like photos of 430 00:23:04,960 --> 00:23:09,080 Speaker 1: former co workers, food and you're family friends, ugly children 431 00:23:09,119 --> 00:23:12,879 Speaker 1: are are enjoyable and pretend to like them. Are you 432 00:23:12,920 --> 00:23:18,920 Speaker 1: talking about? No? No? But apparently so, you know, those 433 00:23:19,000 --> 00:23:21,960 Speaker 1: quizzes that people were taking like three years ago where 434 00:23:22,119 --> 00:23:24,600 Speaker 1: it was like find out which member of sex in 435 00:23:24,600 --> 00:23:28,120 Speaker 1: the city you are, or apparently there were some that 436 00:23:28,160 --> 00:23:31,320 Speaker 1: you could get paid a small amount to take, those 437 00:23:31,359 --> 00:23:36,760 Speaker 1: were actually being collected by various people. Usually they claimed 438 00:23:36,800 --> 00:23:40,440 Speaker 1: that they were for academic purposes and as the name 439 00:23:40,480 --> 00:23:48,240 Speaker 1: Cambridge Analytical would suggest Cambridge Cambridge where colleges are um. 440 00:23:48,359 --> 00:23:53,080 Speaker 1: But uh apparently they sold this to a marketing firm 441 00:23:53,359 --> 00:23:57,439 Speaker 1: that then used it to, you know, help the Trump 442 00:23:57,480 --> 00:24:01,640 Speaker 1: campaign sort of target people. They over fifty million raw 443 00:24:01,720 --> 00:24:06,639 Speaker 1: profiles of people, and they had specifically targeted the questions 444 00:24:07,240 --> 00:24:11,320 Speaker 1: as a way to like find out very specific things 445 00:24:11,359 --> 00:24:15,760 Speaker 1: like where they passionate people, where they uh easy to 446 00:24:15,880 --> 00:24:19,439 Speaker 1: convince about, things where they religious, Like these very specific 447 00:24:19,600 --> 00:24:24,520 Speaker 1: sort of uh fulcrums that people's personalities turn on that 448 00:24:24,680 --> 00:24:28,800 Speaker 1: tell these experts like how easy they're going to be 449 00:24:29,080 --> 00:24:32,360 Speaker 1: to manipulate with certain appeals, right, because they're like, oh, 450 00:24:32,400 --> 00:24:34,480 Speaker 1: this person is a fan of the occult based on 451 00:24:34,560 --> 00:24:38,840 Speaker 1: these things, or like they're introverted religious person or extroverted 452 00:24:38,920 --> 00:24:42,600 Speaker 1: liberal or whatever. Because it's weird to like those psychographics 453 00:24:42,600 --> 00:24:45,800 Speaker 1: they put together. Uh yeah, you could find out like 454 00:24:45,920 --> 00:24:49,919 Speaker 1: how religious you are, agreeable, neurotic, spiritual, depressed, and like 455 00:24:50,000 --> 00:24:52,600 Speaker 1: also can tell like if you had sensationalist interest or 456 00:24:52,640 --> 00:24:54,640 Speaker 1: if you were fair minded and things like that. So yeah, 457 00:24:54,760 --> 00:24:56,840 Speaker 1: it makes sense that then at that point you can 458 00:24:56,880 --> 00:25:00,560 Speaker 1: tailor like a media plan to like get this person 459 00:25:00,840 --> 00:25:03,959 Speaker 1: to like either begin going down a ClickHole of like 460 00:25:04,000 --> 00:25:06,720 Speaker 1: all these different articles and things like that, or you know, 461 00:25:06,760 --> 00:25:08,800 Speaker 1: sort of paint the reality in a different way based 462 00:25:09,040 --> 00:25:11,520 Speaker 1: I don't know, call me crazy, but how kind of 463 00:25:11,520 --> 00:25:13,000 Speaker 1: them to make that kind of effort, you know what 464 00:25:13,000 --> 00:25:15,800 Speaker 1: I'm saying, I don't know, thank you for showing so 465 00:25:15,880 --> 00:25:18,640 Speaker 1: much interest. No one really thinks about me this way. 466 00:25:18,680 --> 00:25:20,480 Speaker 1: So in the fact that someone's out there like, man, 467 00:25:20,560 --> 00:25:23,800 Speaker 1: like what does Edgar like, right, Well, that's really considerate. Guys, 468 00:25:23,840 --> 00:25:27,280 Speaker 1: Like well, I'm a like a like a religious, uh 469 00:25:27,760 --> 00:25:31,240 Speaker 1: self conscious extrovert. Now that now I can go to 470 00:25:31,280 --> 00:25:34,919 Speaker 1: my therapist with that. I will. A lot of what 471 00:25:34,960 --> 00:25:37,960 Speaker 1: they learned from those fifty million raw profiles are like, okay, 472 00:25:37,960 --> 00:25:40,720 Speaker 1: so these are the five million who we want to 473 00:25:40,720 --> 00:25:43,160 Speaker 1: focus on. You know, Like it's not like you get 474 00:25:43,160 --> 00:25:45,600 Speaker 1: fifty million and you're like, Okay, this is how we 475 00:25:45,640 --> 00:25:49,080 Speaker 1: convert all fifty million into Trump supporters. It's just you 476 00:25:49,119 --> 00:25:52,280 Speaker 1: are able to convert a very small number of them 477 00:25:52,400 --> 00:25:57,960 Speaker 1: into like hyperpartisan Trump supporters. Um. On NPR this morning, 478 00:25:57,960 --> 00:26:00,360 Speaker 1: they were reporting this and saying, and I mean these 479 00:26:00,400 --> 00:26:03,199 Speaker 1: sorts of tools have not been shown to be effective, 480 00:26:03,359 --> 00:26:07,640 Speaker 1: so like I think this is over rated or at 481 00:26:07,720 --> 00:26:11,040 Speaker 1: most this is like a a good marketing tool for 482 00:26:11,119 --> 00:26:15,040 Speaker 1: Cambridge analystics to seem like one of the talking heads 483 00:26:15,040 --> 00:26:19,840 Speaker 1: on NPR on their up First podcast, UM, I just 484 00:26:19,960 --> 00:26:23,400 Speaker 1: I think it's miss guy. Like there's a reason that 485 00:26:23,920 --> 00:26:27,320 Speaker 1: advertisers used to pay so much money just to get 486 00:26:27,400 --> 00:26:31,879 Speaker 1: like what your address was, and like whether you preferred 487 00:26:31,920 --> 00:26:34,000 Speaker 1: like this type of coffee or that type of coffee. 488 00:26:34,720 --> 00:26:37,639 Speaker 1: They would pay so much money. And there's just so 489 00:26:37,760 --> 00:26:40,480 Speaker 1: much data that is worth so much money to people 490 00:26:40,840 --> 00:26:45,280 Speaker 1: available on social media that I think this is first 491 00:26:45,320 --> 00:26:48,040 Speaker 1: of all, I think it was probably more influential than 492 00:26:48,080 --> 00:26:49,800 Speaker 1: a lot of people want to believe during the election, 493 00:26:49,960 --> 00:26:53,040 Speaker 1: and I also think it's still being used to this day. 494 00:26:53,080 --> 00:26:55,840 Speaker 1: I mean when when you look at like the ways 495 00:26:55,880 --> 00:26:59,879 Speaker 1: that people are, you know, going in completely opposite to 496 00:27:00,000 --> 00:27:05,240 Speaker 1: actions and living in completely different realities, and you combine 497 00:27:05,280 --> 00:27:07,879 Speaker 1: the access to information that these companies have with the 498 00:27:07,920 --> 00:27:11,879 Speaker 1: fact that we only want information that you know, contributes 499 00:27:11,960 --> 00:27:15,960 Speaker 1: to our existing viewpoint. And I mean we found out 500 00:27:16,040 --> 00:27:20,119 Speaker 1: last week that the all right is specifically targeting people 501 00:27:20,240 --> 00:27:25,119 Speaker 1: who uh suffer from depression, which makes tons of sense. 502 00:27:25,160 --> 00:27:28,480 Speaker 1: But you have all of the ingredients that you need. 503 00:27:28,600 --> 00:27:32,639 Speaker 1: You have the access to the information, and you have 504 00:27:32,760 --> 00:27:35,359 Speaker 1: the people who are willing to use that information and 505 00:27:35,440 --> 00:27:39,880 Speaker 1: be cynical about that information to manipulate people. And I 506 00:27:39,880 --> 00:27:42,240 Speaker 1: I don't think it's a small thing. What's just really 507 00:27:42,280 --> 00:27:44,920 Speaker 1: crazy to think of sort of like the way it works, 508 00:27:45,000 --> 00:27:48,879 Speaker 1: Like since Cambridge University wouldn't work with Cambridge Analytica to 509 00:27:49,080 --> 00:27:52,399 Speaker 1: use like the cover of academic research to get this information, 510 00:27:52,800 --> 00:27:55,080 Speaker 1: then they just found like that this hack. This Dr 511 00:27:55,200 --> 00:27:58,800 Speaker 1: Cogan guy who worked at Cambridge who is also like 512 00:27:58,880 --> 00:28:01,520 Speaker 1: an associate professor sir at the University of St. Petersburg, 513 00:28:01,560 --> 00:28:04,600 Speaker 1: who has like really interesting ties to Russia, where he's like, oh, 514 00:28:04,640 --> 00:28:07,480 Speaker 1: they just made me an associate professor when I was 515 00:28:07,480 --> 00:28:10,239 Speaker 1: on a vacation. I don't know how many times you 516 00:28:10,280 --> 00:28:12,640 Speaker 1: have gotten a job while you were on vacation. Uh. 517 00:28:12,680 --> 00:28:15,000 Speaker 1: If so, please tell me what your travel tips are. 518 00:28:15,480 --> 00:28:18,560 Speaker 1: But anyway, like that that guy was then is the 519 00:28:18,560 --> 00:28:21,280 Speaker 1: mastermind to create like the sort of like My Digital 520 00:28:21,320 --> 00:28:23,360 Speaker 1: Life app and things like that that used the sort 521 00:28:23,400 --> 00:28:27,000 Speaker 1: of Facebook loophole of saying, yeah, we'll give you access 522 00:28:27,000 --> 00:28:28,879 Speaker 1: to all these people's things if you if you promise 523 00:28:28,920 --> 00:28:31,480 Speaker 1: it's for academic use, and then they use two dred 524 00:28:31,520 --> 00:28:35,120 Speaker 1: seventy thousand people who signed up wittingly to get fifty 525 00:28:35,200 --> 00:28:39,840 Speaker 1: million people's information. And and it's like you're saying, like Jack, 526 00:28:39,920 --> 00:28:42,600 Speaker 1: like just with it's not just things that live directly 527 00:28:42,640 --> 00:28:44,880 Speaker 1: on Facebook. Like if you take a buzz feed quiz 528 00:28:44,920 --> 00:28:47,600 Speaker 1: that even has a Facebook bug on the thing, they're 529 00:28:47,600 --> 00:28:50,000 Speaker 1: already gonna know that you went there, like they have 530 00:28:50,040 --> 00:28:54,040 Speaker 1: so much, which I like my Facebook to everything. Yeah, 531 00:28:54,080 --> 00:28:56,440 Speaker 1: I don't use Facebook, not even because I was even 532 00:28:56,440 --> 00:28:58,920 Speaker 1: paranoid of it. It was just it wasn't the way 533 00:28:58,960 --> 00:29:01,680 Speaker 1: I was interested in seeing information so I just really 534 00:29:01,680 --> 00:29:03,480 Speaker 1: stopped using it. But now to know, I mean I've 535 00:29:03,480 --> 00:29:05,760 Speaker 1: already I I've used it for years, So who knows 536 00:29:05,800 --> 00:29:08,320 Speaker 1: what kind of ship they already know. But yeah, it's 537 00:29:08,320 --> 00:29:11,240 Speaker 1: interesting now to see that they've taken something that has 538 00:29:11,280 --> 00:29:14,200 Speaker 1: like nearly you know, the amount of users that like 539 00:29:14,240 --> 00:29:17,480 Speaker 1: an organized religion does like around the world, and you 540 00:29:17,520 --> 00:29:22,040 Speaker 1: can now fully just kind of weaponize that ship. And 541 00:29:22,760 --> 00:29:25,880 Speaker 1: uh yeah, like you're saying, you know, Super producer Sophie 542 00:29:25,880 --> 00:29:29,240 Speaker 1: Lichterman earlier was like, I've never taken a Facebook quiz, 543 00:29:29,560 --> 00:29:32,360 Speaker 1: and then she went to BuzzFeed and took this quiz 544 00:29:32,880 --> 00:29:36,000 Speaker 1: which rap song are you? And uh, she's nine nine 545 00:29:36,000 --> 00:29:39,040 Speaker 1: problems just in case you guys are curious. Uh. And 546 00:29:39,680 --> 00:29:43,160 Speaker 1: uh then when she pressed share at the end of it, 547 00:29:43,200 --> 00:29:46,200 Speaker 1: like I told her to press share on Facebook, Uh, 548 00:29:46,280 --> 00:29:48,800 Speaker 1: it already had her logged into Facebook. So like, Facebook 549 00:29:48,840 --> 00:29:51,080 Speaker 1: is collecting all that data, right, whether you realize that 550 00:29:51,240 --> 00:29:54,000 Speaker 1: or not, whether you're doing it as a you know, 551 00:29:54,040 --> 00:29:57,400 Speaker 1: whether you're coming from Facebook or not. Facebook is constantly 552 00:29:58,120 --> 00:30:01,120 Speaker 1: as long as you're logged into Facebook anywhere on the Internet, 553 00:30:01,160 --> 00:30:03,400 Speaker 1: they're paying attention to you. I just wish they would 554 00:30:03,400 --> 00:30:04,920 Speaker 1: be honest about it, you know what I mean, Like 555 00:30:05,240 --> 00:30:07,360 Speaker 1: I'm okay with being spied on. Just tell a boy, 556 00:30:07,440 --> 00:30:09,520 Speaker 1: you know what I mean, Like, I'll leave something for you. 557 00:30:10,880 --> 00:30:13,680 Speaker 1: I'll leave a nice little note, pictures, And I just 558 00:30:13,800 --> 00:30:16,120 Speaker 1: I don't know, like how much of this information can 559 00:30:16,200 --> 00:30:17,680 Speaker 1: actually be weaponized, like you know what I mean, Like 560 00:30:17,720 --> 00:30:21,160 Speaker 1: I I connect Facebook to a lot of things. For example, 561 00:30:21,200 --> 00:30:24,600 Speaker 1: where porn hub had the uh the little ad where 562 00:30:24,640 --> 00:30:27,560 Speaker 1: you could get free premium for the day of Valentine's Day, 563 00:30:27,560 --> 00:30:31,560 Speaker 1: which I thought was very kind. I connected it to 564 00:30:31,600 --> 00:30:33,480 Speaker 1: my Facebook and I was like, what, why do they want? 565 00:30:33,480 --> 00:30:35,440 Speaker 1: What do they what does porn Hub want out of 566 00:30:35,440 --> 00:30:37,960 Speaker 1: my Facebook? And then I found out they know everything. 567 00:30:38,080 --> 00:30:41,720 Speaker 1: Now they're just like recommending very specific porn to me, 568 00:30:41,800 --> 00:30:43,920 Speaker 1: you like those Japanese now do now do video? And 569 00:30:43,960 --> 00:30:45,240 Speaker 1: I'm like, how did you guys know that? From the 570 00:30:45,280 --> 00:30:48,160 Speaker 1: ship that I like on Facebook where people to get 571 00:30:48,160 --> 00:30:52,760 Speaker 1: greased up like slide all over each other. But I mean, 572 00:30:53,040 --> 00:30:55,680 Speaker 1: the reason it can be weaponized because it can find 573 00:30:55,720 --> 00:31:00,440 Speaker 1: people who are exceptionally vulnerable to this kind of information 574 00:31:00,520 --> 00:31:04,120 Speaker 1: or misinformation campaign. And that's like clearly to someone who 575 00:31:04,160 --> 00:31:07,720 Speaker 1: is like a reasonable, uh cynical person has enough reasonable 576 00:31:07,720 --> 00:31:09,720 Speaker 1: cynicism could be like, oh, this is bullshit or whatever, 577 00:31:09,760 --> 00:31:13,440 Speaker 1: like they're not as easily pulled into the trap on 578 00:31:13,480 --> 00:31:15,760 Speaker 1: that side. Well, from what I understand, I mean, granted 579 00:31:15,800 --> 00:31:17,840 Speaker 1: I did get you at that type pot earlier, but 580 00:31:18,360 --> 00:31:20,080 Speaker 1: like I think when you look at people who are 581 00:31:20,440 --> 00:31:23,600 Speaker 1: sort of isolated, older people who have conservative viewpoints, like 582 00:31:23,760 --> 00:31:26,440 Speaker 1: they're like, oh, we can really energize this person, or 583 00:31:26,480 --> 00:31:28,320 Speaker 1: even on the other side, if it's someone who's on 584 00:31:28,360 --> 00:31:32,080 Speaker 1: the super like left and believes all kinds of conspiratorial things, 585 00:31:32,640 --> 00:31:35,960 Speaker 1: you can sort of begin to seed this misinformation into 586 00:31:36,000 --> 00:31:38,680 Speaker 1: their reality and then you then you have completely gasolt 587 00:31:38,760 --> 00:31:40,760 Speaker 1: this person and that's where the weaponization. But then is 588 00:31:40,800 --> 00:31:42,880 Speaker 1: there any opportunity to like, you know, I don't know 589 00:31:43,120 --> 00:31:45,520 Speaker 1: counter this, Like, is there an opportunity for like, you know, 590 00:31:45,720 --> 00:31:47,360 Speaker 1: us three to like put in some money, you got 591 00:31:47,440 --> 00:31:49,719 Speaker 1: some geeks together and find these people and then then 592 00:31:49,800 --> 00:31:52,280 Speaker 1: we use it to our own ends like that. That's 593 00:31:52,280 --> 00:31:56,080 Speaker 1: the thing is that there's no longer really any good 594 00:31:56,360 --> 00:32:00,719 Speaker 1: presumption of you know, objectivity, because every he is just 595 00:32:00,960 --> 00:32:05,640 Speaker 1: in this sort of advertising uh you know, social media 596 00:32:05,800 --> 00:32:09,280 Speaker 1: Maelstrom where you know, all these different pieces of data 597 00:32:09,280 --> 00:32:12,840 Speaker 1: are coming at us whether we realize they are, you know, 598 00:32:12,920 --> 00:32:16,640 Speaker 1: being used to a specific end or not. Um And 599 00:32:16,680 --> 00:32:20,040 Speaker 1: I mean, so the guy who is the whistleblower a 600 00:32:20,040 --> 00:32:25,760 Speaker 1: guy named Christopher Wiley, Canadian Jay shout out to Canada. 601 00:32:27,040 --> 00:32:31,640 Speaker 1: He's a guy who who his background was working for 602 00:32:32,760 --> 00:32:37,640 Speaker 1: Trudeau's party, the Labor Party, I believe liberals, the Liberal Party. Uh, 603 00:32:37,720 --> 00:32:42,040 Speaker 1: and also on Obama's early campaign, I think two thousand 604 00:32:42,080 --> 00:32:45,480 Speaker 1: eight campaign and two thousand twelve. And so he had 605 00:32:45,520 --> 00:32:49,840 Speaker 1: the experience with people using online data and you know, 606 00:32:49,920 --> 00:32:52,960 Speaker 1: social media effectively in the ways that social media was 607 00:32:53,040 --> 00:32:57,160 Speaker 1: used back then. But then he was like, they basically 608 00:32:57,240 --> 00:32:59,760 Speaker 1: took that and ran with it and like put it 609 00:32:59,760 --> 00:33:03,640 Speaker 1: on steroids by you know, basically scraping all of these 610 00:33:04,240 --> 00:33:07,520 Speaker 1: tropes of information that Facebook was giving people access to. 611 00:33:07,840 --> 00:33:10,640 Speaker 1: And a lot of the stuff they did wasn't against 612 00:33:10,720 --> 00:33:13,600 Speaker 1: Facebook's rules at the time. Facebook just didn't give a 613 00:33:13,600 --> 00:33:16,760 Speaker 1: ship And in fact, Facebook like part of their sales 614 00:33:16,800 --> 00:33:21,160 Speaker 1: pitch is this, it's the unprecedented access to you know, 615 00:33:21,640 --> 00:33:26,760 Speaker 1: people's personal information. Man. Uh, that you just fucking got 616 00:33:26,800 --> 00:33:31,320 Speaker 1: me in my head so deep. You know, once you 617 00:33:31,320 --> 00:33:34,600 Speaker 1: you can't just delete the Facebook, It's gone, okay. Well 618 00:33:35,040 --> 00:33:40,080 Speaker 1: ah um, years ago, when I was in college and 619 00:33:40,160 --> 00:33:42,600 Speaker 1: I smoked a lot of marijuana. Some might argue more 620 00:33:42,640 --> 00:33:46,440 Speaker 1: marijuana than I smoke today in college. No way. I 621 00:33:46,480 --> 00:33:51,400 Speaker 1: said that the social network is the Citizen Kane of today, 622 00:33:51,840 --> 00:33:55,280 Speaker 1: and everyone laughed at me, and they laughed at me, 623 00:33:55,320 --> 00:33:58,760 Speaker 1: and they said, this fucking stoner right now hearing the 624 00:33:58,920 --> 00:34:04,440 Speaker 1: far reach that Facebook has. Similarly to how Citizen Kane 625 00:34:04,480 --> 00:34:06,560 Speaker 1: kind of describes the effects that the media had at 626 00:34:06,600 --> 00:34:08,799 Speaker 1: that time, I just want to say I was right. 627 00:34:08,960 --> 00:34:15,360 Speaker 1: That's it, where although they probably didn't go far enough, right, like, yeah, no, 628 00:34:15,480 --> 00:34:17,600 Speaker 1: they didn't critique. They'd only said he's a douche. They 629 00:34:17,600 --> 00:34:20,120 Speaker 1: didn't really say, look at the power that you just 630 00:34:20,600 --> 00:34:24,080 Speaker 1: that's act one of of Citizen Kane. And now we 631 00:34:24,160 --> 00:34:26,480 Speaker 1: have to get to the part where Mark Zuckerberg's faces 632 00:34:26,600 --> 00:34:30,560 Speaker 1: like projected giant behind him as he's addressing large crowns, 633 00:34:30,600 --> 00:34:32,640 Speaker 1: and well, now, I mean now he's been summoned by 634 00:34:32,680 --> 00:34:35,759 Speaker 1: like every like you know, politician is like, gets your 635 00:34:35,800 --> 00:34:38,279 Speaker 1: ass in here right now, because like what's going on 636 00:34:38,320 --> 00:34:42,200 Speaker 1: over at your company? Yeah, so their stock is plummeting 637 00:34:42,239 --> 00:34:45,200 Speaker 1: today to the point that it's actually dragging the entire 638 00:34:45,239 --> 00:34:49,560 Speaker 1: stock market down. Because of how badly it's doing. Because 639 00:34:49,600 --> 00:34:52,480 Speaker 1: I mean, I think investors realized this was the promise 640 00:34:52,480 --> 00:34:55,439 Speaker 1: of Facebook, was that they were going to connect this 641 00:34:55,800 --> 00:35:00,640 Speaker 1: trove of information about people that existed online, we their 642 00:35:00,719 --> 00:35:04,839 Speaker 1: actual identities. That was the thing that didn't exist before Facebook, 643 00:35:05,000 --> 00:35:06,879 Speaker 1: is you know, we were all we all had these 644 00:35:06,880 --> 00:35:09,560 Speaker 1: different user names on different sites, or we just didn't 645 00:35:09,560 --> 00:35:12,759 Speaker 1: log into different sites. And Facebook made it so that 646 00:35:12,880 --> 00:35:16,879 Speaker 1: people actually connected what they did online with their identities. 647 00:35:16,920 --> 00:35:21,359 Speaker 1: And that's an impossibly powerful tool. Like that's a wet 648 00:35:21,520 --> 00:35:24,040 Speaker 1: dream of everybody who has worked in marketing. When I 649 00:35:24,080 --> 00:35:27,960 Speaker 1: started cracked, like they so we hired a consultant who 650 00:35:28,040 --> 00:35:30,480 Speaker 1: was like from the magazine industry, and it was like 651 00:35:30,520 --> 00:35:33,439 Speaker 1: this older guy who would work for Rolling Stone, and 652 00:35:33,480 --> 00:35:38,000 Speaker 1: they had like this trove of just addresses with people's names, 653 00:35:38,200 --> 00:35:40,840 Speaker 1: and like they would like pay like twenty dollars for 654 00:35:40,880 --> 00:35:43,440 Speaker 1: that just to like launch a new magazine to like 655 00:35:43,800 --> 00:35:46,480 Speaker 1: hit people with mailers. And it's like a junk mail 656 00:35:46,560 --> 00:35:49,320 Speaker 1: and ship. Like all they had was names and addresses 657 00:35:49,360 --> 00:35:51,480 Speaker 1: and they were paying like tens of thousands of dollars. 658 00:35:51,800 --> 00:35:55,080 Speaker 1: Compare that to like the insane amounts of information that 659 00:35:55,160 --> 00:35:58,319 Speaker 1: you give to these companies just when you're taking a 660 00:35:58,440 --> 00:36:02,359 Speaker 1: fucking quiz about whether you or Leonardo or Michelangelo from 661 00:36:02,400 --> 00:36:04,800 Speaker 1: the Turtles. What they need to do is start paying 662 00:36:04,880 --> 00:36:06,920 Speaker 1: the old black woman on the corner and all these 663 00:36:06,920 --> 00:36:12,239 Speaker 1: neighborhoods that she knows everybody's ship, but I'll tell you 664 00:36:12,239 --> 00:36:16,880 Speaker 1: who voted. But have those psychographics though psychographics they're like, oh, 665 00:36:16,960 --> 00:36:19,359 Speaker 1: I know he's insecure because his girlfriend cheated on him 666 00:36:19,640 --> 00:36:22,600 Speaker 1: about fifteen years ago. But yeah, with this ship now 667 00:36:22,600 --> 00:36:24,680 Speaker 1: it's crazy because yeah, you're going from names and addresses 668 00:36:24,719 --> 00:36:28,480 Speaker 1: to now like, oh, I'm trying to target neurotic, introverted 669 00:36:28,719 --> 00:36:31,040 Speaker 1: men under the age of twenty three or whatever, and 670 00:36:31,080 --> 00:36:33,160 Speaker 1: now you like boom, right, and then you can even 671 00:36:33,160 --> 00:36:35,880 Speaker 1: cut it down be like who live in the South boom? 672 00:36:35,920 --> 00:36:39,560 Speaker 1: Who live in you know, then these three counties boom. Yeah, 673 00:36:40,080 --> 00:36:43,080 Speaker 1: So I for one bow to our corporate overlord. So 674 00:36:43,719 --> 00:36:45,880 Speaker 1: you know, Facebook, as long as you're gonna send people 675 00:36:46,000 --> 00:36:48,400 Speaker 1: to the Daily Zygeist, were cool with you. We love it. 676 00:36:48,480 --> 00:36:51,040 Speaker 1: Just use your psycho graphics too. Maybe we should trying 677 00:36:51,040 --> 00:36:55,040 Speaker 1: to get Mark Zuckerberg reach guest reach guest. Yeah, we 678 00:36:55,040 --> 00:36:58,200 Speaker 1: could do it. Sure, he's not that busy. Uh. One 679 00:36:58,239 --> 00:37:01,840 Speaker 1: of the great details of this. First of all, Cambridge Analytical. 680 00:37:01,880 --> 00:37:05,160 Speaker 1: We're talking about the name being like so transparently, like 681 00:37:05,640 --> 00:37:07,760 Speaker 1: they might as well have called it the Harvard Science 682 00:37:07,800 --> 00:37:11,120 Speaker 1: people who you can totally trust, as uh, our writer 683 00:37:11,239 --> 00:37:15,320 Speaker 1: Jam McNabb put it. But they were named by Steve Bannon. 684 00:37:15,440 --> 00:37:22,960 Speaker 1: Steve Bannon was early involved in this company board member. Yeah. Uh. 685 00:37:23,080 --> 00:37:26,759 Speaker 1: And uh so this academic that you who you were 686 00:37:26,760 --> 00:37:31,000 Speaker 1: talking about, who is still on staff at Cambridge University, Uh, 687 00:37:31,160 --> 00:37:34,840 Speaker 1: Dr Cogan. He changed his name at one point to 688 00:37:35,080 --> 00:37:38,920 Speaker 1: Dr Specter because he was just like, yeo, I kind 689 00:37:38,960 --> 00:37:43,640 Speaker 1: of m into being an evil genius genius and then 690 00:37:43,680 --> 00:37:46,680 Speaker 1: he changed it back apparently something someone was like bad. 691 00:37:47,200 --> 00:37:49,719 Speaker 1: He's like, you know, we're kind of doing some subversive 692 00:37:49,840 --> 00:37:55,719 Speaker 1: spy ship here, right, and oh, oh is that obvious? 693 00:37:57,120 --> 00:38:01,560 Speaker 1: I'm Dr Cogan. Uh. And then uh, there's also a 694 00:38:01,600 --> 00:38:06,040 Speaker 1: weird detail where Russia gets involved in this. We can 695 00:38:06,640 --> 00:38:11,040 Speaker 1: use this to transition to our next subject. But according 696 00:38:11,080 --> 00:38:15,480 Speaker 1: to Wiley the whistleblower, he and Nix, who was the 697 00:38:15,480 --> 00:38:17,759 Speaker 1: head of the company at the time, we're asked to 698 00:38:17,800 --> 00:38:21,480 Speaker 1: explain their services to a Russian oil company headed by 699 00:38:21,480 --> 00:38:25,480 Speaker 1: one of Putin's associates. And while it was like, why 700 00:38:25,640 --> 00:38:27,800 Speaker 1: are we being asked to talk to them? That makes 701 00:38:27,800 --> 00:38:30,560 Speaker 1: no sense? Like they're like, yeah, you're they're they're a 702 00:38:30,600 --> 00:38:33,080 Speaker 1: Russian oil company, like a huge Looke oilers name of 703 00:38:33,120 --> 00:38:35,840 Speaker 1: the company, and they're like, but we do work talking 704 00:38:35,840 --> 00:38:40,640 Speaker 1: about American voters. So what does Russian oil have? What 705 00:38:41,320 --> 00:38:44,799 Speaker 1: they said, why do they need to understand quote behavioral 706 00:38:44,880 --> 00:38:49,120 Speaker 1: micro targeting in the context of elections? Right, I don't know, 707 00:38:49,560 --> 00:38:53,040 Speaker 1: it might depend on I doubt those consumers over there 708 00:38:53,080 --> 00:38:56,239 Speaker 1: have choice between who their oil and gas company is. 709 00:38:56,800 --> 00:38:58,919 Speaker 1: So it's not like, well, we want to make sure 710 00:38:59,160 --> 00:39:01,920 Speaker 1: like we're getting the best service to our customers. I 711 00:39:01,920 --> 00:39:03,920 Speaker 1: don't know. I mean, maybe you can't argue that, but 712 00:39:03,960 --> 00:39:07,239 Speaker 1: it seems all very again, there's always that sort of 713 00:39:07,280 --> 00:39:10,520 Speaker 1: like a cloud of Russia hanging over all. Right, So 714 00:39:10,560 --> 00:39:13,080 Speaker 1: speaking of the cloud of Russia, I mean I sent 715 00:39:13,120 --> 00:39:17,520 Speaker 1: out a panicked tweet early Saturday morning being like, we 716 00:39:17,600 --> 00:39:19,440 Speaker 1: might have to come in and record over the weekend 717 00:39:19,520 --> 00:39:22,920 Speaker 1: because uh, and link people to the tweet from Trump's 718 00:39:23,320 --> 00:39:26,120 Speaker 1: lawyer saying that they needed to fire Muller, that the 719 00:39:26,200 --> 00:39:30,440 Speaker 1: Muller investigation needed to be shut down. Uh. And I 720 00:39:30,480 --> 00:39:32,520 Speaker 1: think part of my panic came from the fact that 721 00:39:32,640 --> 00:39:35,319 Speaker 1: I thought this was a White House lawyer, not just 722 00:39:35,360 --> 00:39:40,360 Speaker 1: like Trump's personal pal lawyer. But it is just Trump's lawyer, 723 00:39:40,440 --> 00:39:44,200 Speaker 1: not one of the official White House lawyers who's saying this. 724 00:39:44,560 --> 00:39:46,120 Speaker 1: Everyone in the White House who did a good job 725 00:39:46,160 --> 00:39:49,480 Speaker 1: of walking that the funk back, like, no, he's not 726 00:39:49,480 --> 00:39:55,640 Speaker 1: speaking for anyone, right, So that's what they walked back. 727 00:39:55,719 --> 00:39:58,320 Speaker 1: And then Trump spent the weekend talking about how is 728 00:39:58,320 --> 00:40:00,920 Speaker 1: a witch hunt and specifically it resting Muller. So up 729 00:40:00,960 --> 00:40:02,719 Speaker 1: to this point he has said it's a witch hunt 730 00:40:02,719 --> 00:40:06,760 Speaker 1: and said he's innocent, but uh, he hasn't specifically talked 731 00:40:06,760 --> 00:40:10,040 Speaker 1: about Mueller and his name out his mouth, right he was, 732 00:40:10,440 --> 00:40:15,680 Speaker 1: you know, because that was what I'm sure his wiser 733 00:40:15,800 --> 00:40:18,400 Speaker 1: lawyers had told him to do. They didn't want him 734 00:40:18,440 --> 00:40:23,879 Speaker 1: to directly antagonize the guy investigating him, and Trump, you know, 735 00:40:24,360 --> 00:40:29,640 Speaker 1: according to reports, now has uh the confidence in his 736 00:40:29,800 --> 00:40:33,960 Speaker 1: job to just think that he can go off prompter. 737 00:40:34,280 --> 00:40:36,480 Speaker 1: I feel like we keep hearing that, like they're like, well, 738 00:40:36,480 --> 00:40:41,120 Speaker 1: now he's really confident that he doesn't need the input 739 00:40:41,320 --> 00:40:44,080 Speaker 1: of associates and he's just going off on his own. Well, 740 00:40:44,080 --> 00:40:46,640 Speaker 1: the more adults that leave the room, you're gonna get 741 00:40:46,680 --> 00:40:48,719 Speaker 1: shipped like this that his lawyers are probably do not 742 00:40:48,800 --> 00:40:51,239 Speaker 1: call Robert Mueller out by name. This is possibly could 743 00:40:51,239 --> 00:40:53,759 Speaker 1: be used as evidence against you and more obstruction ship, 744 00:40:54,440 --> 00:40:56,840 Speaker 1: because they already say, like, yo, he's up on the 745 00:40:56,960 --> 00:40:59,399 Speaker 1: like talking about these investigations and like leaning on people, 746 00:40:59,400 --> 00:41:02,040 Speaker 1: because that can look like a pattern with you of 747 00:41:02,080 --> 00:41:04,879 Speaker 1: trying to obstruct you know, this investigation or just any 748 00:41:04,920 --> 00:41:08,319 Speaker 1: investigation into your actions. This ship is getting hot in 749 00:41:08,320 --> 00:41:09,919 Speaker 1: the right way, you know what I mean, I'm very 750 00:41:10,000 --> 00:41:12,919 Speaker 1: very excited. Trump is acting like that dude who knows 751 00:41:12,960 --> 00:41:15,080 Speaker 1: his girls about to find that he's been cheating and 752 00:41:15,120 --> 00:41:17,080 Speaker 1: he's been like you know, now he's acting all erratic 753 00:41:17,120 --> 00:41:18,960 Speaker 1: and ship like that. I don't think he's ever not 754 00:41:19,080 --> 00:41:22,560 Speaker 1: been that dude, because he's just he's never done Yeah, 755 00:41:22,600 --> 00:41:26,440 Speaker 1: he's always cheated on his wives. He's always cheated at business. 756 00:41:26,520 --> 00:41:29,760 Speaker 1: He cheats at golf. Like I know somebody who golfed 757 00:41:29,760 --> 00:41:31,680 Speaker 1: with him once and was like, yo, he just like 758 00:41:31,760 --> 00:41:37,080 Speaker 1: straight moves his ball to a better location. And like 759 00:41:37,120 --> 00:41:38,919 Speaker 1: I feel like he's been doing that this whole time 760 00:41:38,920 --> 00:41:40,719 Speaker 1: and he's never gotten rock so that, I mean, that's 761 00:41:40,760 --> 00:41:44,720 Speaker 1: his only mode and he's never gotten rocked. He's also 762 00:41:45,400 --> 00:41:47,280 Speaker 1: did it all the way to the fucking White House 763 00:41:47,360 --> 00:41:51,200 Speaker 1: like till he was successful at that mode. Ever, he'll 764 00:41:51,239 --> 00:41:53,240 Speaker 1: get kay and he'll do the Day of Chappelle defense 765 00:41:53,280 --> 00:41:56,279 Speaker 1: and he'll say, oh, I'm sorry, I didn't know. I 766 00:41:56,280 --> 00:41:59,200 Speaker 1: couldn't do that because good defense life has told me 767 00:41:59,239 --> 00:42:04,120 Speaker 1: up to this point that if um, but I don't know. Uh. 768 00:42:04,200 --> 00:42:06,880 Speaker 1: It also seems like they're now more and more people 769 00:42:06,960 --> 00:42:10,040 Speaker 1: who are getting behind the well, this whole Mueller thing is, 770 00:42:10,640 --> 00:42:15,440 Speaker 1: you know, corrupt. And Andrew McCabe, who was the director 771 00:42:15,520 --> 00:42:19,040 Speaker 1: director of the FBI, uh was fired over the weekend, 772 00:42:19,160 --> 00:42:22,959 Speaker 1: and now there's this just all out pushed by conservative 773 00:42:23,040 --> 00:42:25,880 Speaker 1: and right wing media, which I do like draw a 774 00:42:25,920 --> 00:42:28,520 Speaker 1: distinction between like right wing, which is like Fox News 775 00:42:28,520 --> 00:42:31,520 Speaker 1: and ship like that, and then like conservatives, which is 776 00:42:31,560 --> 00:42:34,879 Speaker 1: like National Review, and National Review is even like kind 777 00:42:34,880 --> 00:42:38,759 Speaker 1: of starting to go in on the Mueller investigation. Uh 778 00:42:39,000 --> 00:42:41,640 Speaker 1: Drudge Report, which I would consider to be right wing. 779 00:42:41,680 --> 00:42:43,319 Speaker 1: They have a poll up at the top of their 780 00:42:43,320 --> 00:42:47,439 Speaker 1: page now that says that seventy percent of respondents say 781 00:42:47,480 --> 00:42:53,120 Speaker 1: that yes, Mueller should be fired to saying no. Granted, 782 00:42:53,520 --> 00:42:57,160 Speaker 1: his polls are wildly unscientific, and they're taken by people 783 00:42:57,160 --> 00:42:59,960 Speaker 1: who come to the Drudge Report, which is a super concern. 784 00:43:00,000 --> 00:43:02,120 Speaker 1: And I'm sure you could vote multiple times. You can, 785 00:43:02,480 --> 00:43:05,880 Speaker 1: and I'm sure it's very easy to hijack by bots 786 00:43:06,239 --> 00:43:09,040 Speaker 1: um And in fact, that's something I learned over the weekend. 787 00:43:09,120 --> 00:43:12,480 Speaker 1: So there is a comment section under the Pole and 788 00:43:12,960 --> 00:43:16,600 Speaker 1: they are just wild comments about like I'm ready to 789 00:43:16,640 --> 00:43:19,879 Speaker 1: start a civil war two and kill these liberals who 790 00:43:19,920 --> 00:43:22,919 Speaker 1: like think men or women and women or men and 791 00:43:23,120 --> 00:43:27,160 Speaker 1: like just straight up like the you're nightmare of what 792 00:43:27,320 --> 00:43:29,400 Speaker 1: like right wing people would be like. And I had 793 00:43:29,440 --> 00:43:31,600 Speaker 1: also seen that in the comments section of The Hill. 794 00:43:31,680 --> 00:43:34,480 Speaker 1: I think I've even talked about it on that the 795 00:43:34,560 --> 00:43:38,319 Speaker 1: Hills comments are just crazy like far right wing, like 796 00:43:38,360 --> 00:43:42,600 Speaker 1: almost like it's somebody satirizing the right wing. And somebody 797 00:43:42,640 --> 00:43:45,120 Speaker 1: pointed out in the comments section on the Hill they 798 00:43:45,120 --> 00:43:47,759 Speaker 1: were like somebody was arguing back with a right wing 799 00:43:47,840 --> 00:43:50,120 Speaker 1: comment er, and somebody came in and was like, you know, 800 00:43:50,200 --> 00:43:53,239 Speaker 1: you know, these are Russian bots right like this Basically 801 00:43:53,280 --> 00:43:56,920 Speaker 1: the Hill just has a terrible moderating system, and so 802 00:43:57,080 --> 00:44:00,279 Speaker 1: Russian bots just come in and like flood to our 803 00:44:00,600 --> 00:44:02,480 Speaker 1: How do you even begin to stop you have to 804 00:44:02,520 --> 00:44:08,600 Speaker 1: basically bring your comment moderation in house and like basically 805 00:44:09,080 --> 00:44:12,279 Speaker 1: create your own strategy for doing that. We had that 806 00:44:12,360 --> 00:44:15,160 Speaker 1: problem at Cracked that like at a certain point, all 807 00:44:15,200 --> 00:44:18,000 Speaker 1: of a sudden, comments like started being taken over by 808 00:44:18,000 --> 00:44:20,000 Speaker 1: people being like, hey, do you want to have sex 809 00:44:20,040 --> 00:44:23,000 Speaker 1: with me? People? I was like, oh, okay, So it 810 00:44:23,080 --> 00:44:26,120 Speaker 1: was like porn bots got I got a method. Now 811 00:44:26,400 --> 00:44:29,000 Speaker 1: I got a method. You guys ready for method? You 812 00:44:29,040 --> 00:44:33,279 Speaker 1: asked them yo Sprite or seven up? If they say 813 00:44:33,320 --> 00:44:38,319 Speaker 1: seven up, there's only one choice, and that is to 814 00:44:38,400 --> 00:44:45,560 Speaker 1: obey your sponsored for first time listeners. Eggar is a 815 00:44:45,840 --> 00:44:49,480 Speaker 1: unofficial Sprite spokesperson looking to become the official Sprites pokes. Yeah, 816 00:44:49,520 --> 00:44:52,520 Speaker 1: we'll see what happens with mother though, because you know, again, 817 00:44:52,520 --> 00:44:53,920 Speaker 1: this is the thing we're also talking about is like 818 00:44:54,120 --> 00:44:57,640 Speaker 1: the at least a few Republicans did come and be like, hey, 819 00:44:57,520 --> 00:45:01,200 Speaker 1: they don't even start talking about sibly firing. Like Linday 820 00:45:01,239 --> 00:45:02,759 Speaker 1: Graham was straight up like, if you do that, that 821 00:45:02,800 --> 00:45:05,000 Speaker 1: would be the beginning of the end of his presidency. 822 00:45:05,320 --> 00:45:07,520 Speaker 1: I wouldn't hold my breath to see if Lindsay Graham 823 00:45:07,800 --> 00:45:11,640 Speaker 1: found his motherfucker. Uh. And then also like you know, 824 00:45:11,719 --> 00:45:14,200 Speaker 1: James Lankford. Like a lot of people, Tray Gouty said 825 00:45:14,200 --> 00:45:16,400 Speaker 1: something which is funny because he's on his way out anyway, 826 00:45:16,440 --> 00:45:18,400 Speaker 1: so like he's like, oh, if you're if you're innocent, 827 00:45:18,760 --> 00:45:20,560 Speaker 1: you're not acting like you're innocent. Yeah, I mean that 828 00:45:20,640 --> 00:45:24,080 Speaker 1: was like, probably my favorite quote was from Trey Gaudy, 829 00:45:24,239 --> 00:45:28,160 Speaker 1: like the Mr ben Mr Benghazi himself, but he was 830 00:45:28,200 --> 00:45:32,440 Speaker 1: just like, uh, you know, talking to the president's lawyer. 831 00:45:32,520 --> 00:45:35,400 Speaker 1: He was like, if your client is innocent, fucking act 832 00:45:35,480 --> 00:45:41,239 Speaker 1: like and uh that is you know. I'm telling you, man, 833 00:45:41,320 --> 00:45:44,279 Speaker 1: I'm telling you he's got the donuts. Like, have you 834 00:45:44,280 --> 00:45:46,560 Speaker 1: guys ever seen that Jerry Springer episode where the dude 835 00:45:46,600 --> 00:45:49,400 Speaker 1: comes home and there has been thousands of j what 836 00:45:49,440 --> 00:45:51,880 Speaker 1: do you mean that Jerry? The dude comes home and 837 00:45:52,000 --> 00:45:54,160 Speaker 1: has powder on his dick and his girls like, yo, 838 00:45:54,200 --> 00:45:56,440 Speaker 1: what's going on? And he said, I'll put a donut 839 00:45:56,440 --> 00:46:03,279 Speaker 1: on my dick versus what it was from. Remember how 840 00:46:03,280 --> 00:46:05,399 Speaker 1: back in the day conus used to be pottery. Man, 841 00:46:05,400 --> 00:46:08,680 Speaker 1: I don't know, I never use them. Well, he said, 842 00:46:08,680 --> 00:46:12,160 Speaker 1: I have put a donut on mind, And I think 843 00:46:12,160 --> 00:46:14,239 Speaker 1: this is what Trump's It's like, you know, he's just 844 00:46:14,280 --> 00:46:17,120 Speaker 1: like scrambling first. Yeah, well, but he's in a position 845 00:46:17,120 --> 00:46:18,560 Speaker 1: where he doesn't have to give the ex uses. He 846 00:46:18,600 --> 00:46:20,799 Speaker 1: can just dead the investigation. But I don't even talked 847 00:46:20,800 --> 00:46:23,360 Speaker 1: about it because it's a witch hunt from the jump, right, So, 848 00:46:23,760 --> 00:46:27,960 Speaker 1: and I'm having a hard time figuring out if that 849 00:46:28,120 --> 00:46:31,279 Speaker 1: is actually being like taken up by the right wing 850 00:46:31,560 --> 00:46:34,839 Speaker 1: or if you know, same conservatives are being persuaded by 851 00:46:34,840 --> 00:46:37,520 Speaker 1: that this is a witch hunt and that it's time 852 00:46:37,560 --> 00:46:40,480 Speaker 1: to fire Muller for some reason. Can I speak directly 853 00:46:40,480 --> 00:46:43,680 Speaker 1: to the conservatives? Yeah, nobody puts a donut on there, Dick. 854 00:46:48,120 --> 00:46:49,839 Speaker 1: All right, we are going to take a break. We'll 855 00:46:49,880 --> 00:47:01,680 Speaker 1: be right back, and we're back. And we wanted to 856 00:47:01,760 --> 00:47:05,720 Speaker 1: check in really quickly with the weekend box office because 857 00:47:05,800 --> 00:47:10,879 Speaker 1: Black Panther is the number one, still number one. It 858 00:47:10,880 --> 00:47:16,680 Speaker 1: has gone from successful to so successful, very very very 859 00:47:16,800 --> 00:47:19,919 Speaker 1: very super successful. But you know, black people can't lead movies, 860 00:47:19,960 --> 00:47:22,040 Speaker 1: you know what I'm saying, right, so that I mean 861 00:47:22,080 --> 00:47:25,839 Speaker 1: this has to officially just dead that idea, right, I mean, 862 00:47:25,840 --> 00:47:28,600 Speaker 1: who knows until like they use some like moral licensing 863 00:47:28,640 --> 00:47:31,439 Speaker 1: moment where they'll do another film that's predominantly black cast 864 00:47:31,520 --> 00:47:33,040 Speaker 1: and it doesn't do one like Okay, well then I 865 00:47:33,040 --> 00:47:34,640 Speaker 1: guess we have to, you know, circle the bags again. 866 00:47:35,000 --> 00:47:37,800 Speaker 1: I mean that that movie exists. It's called A Wrinkle 867 00:47:37,880 --> 00:47:40,400 Speaker 1: in Time. Is it not doing well in the box office. 868 00:47:40,400 --> 00:47:45,000 Speaker 1: It's doing well in the box office, is doing quite critically. Yeah, yeah, 869 00:47:45,040 --> 00:47:48,680 Speaker 1: well that's a whole other thing. I mean, I saw it, 870 00:47:48,840 --> 00:47:51,399 Speaker 1: you know, I liked that they're the message of like 871 00:47:51,520 --> 00:47:53,879 Speaker 1: of inclusion and empathy and all that was in there. 872 00:47:54,000 --> 00:47:56,840 Speaker 1: But as a film, like narratively speaking like, I was 873 00:47:56,880 --> 00:48:00,239 Speaker 1: a little confused, and I felt like, I'm not I 874 00:48:00,239 --> 00:48:01,840 Speaker 1: don't know. I don't want to talk bad about it, 875 00:48:01,840 --> 00:48:04,160 Speaker 1: because I like Ava du Vernet and I think the 876 00:48:04,160 --> 00:48:06,160 Speaker 1: work she does a great and what this film means 877 00:48:06,239 --> 00:48:09,680 Speaker 1: is good. But I was having trouble being like, this 878 00:48:09,760 --> 00:48:12,560 Speaker 1: was a great film. Here's who I blame, and I've 879 00:48:12,560 --> 00:48:16,239 Speaker 1: been saying it all day, the studio. I don't believe 880 00:48:16,280 --> 00:48:18,319 Speaker 1: that the studio let Ava Duvernet make the kind of 881 00:48:18,360 --> 00:48:20,359 Speaker 1: movie that you want. I don't know. It's Disney and 882 00:48:20,440 --> 00:48:23,719 Speaker 1: it was a huge budget. Huge budget. I mean, we're 883 00:48:23,760 --> 00:48:26,279 Speaker 1: talking about toys and toys and toys for days. I'm 884 00:48:26,280 --> 00:48:28,640 Speaker 1: pretty sure they were like, we're not taking our hands 885 00:48:28,640 --> 00:48:30,759 Speaker 1: off of this movie right in the way that I 886 00:48:30,760 --> 00:48:34,200 Speaker 1: could see Marvel letting Ryan Cougar get away with some things. Well, 887 00:48:34,239 --> 00:48:37,080 Speaker 1: but but that's still that's also Disney, but it's also 888 00:48:37,360 --> 00:48:40,600 Speaker 1: but it's a different brand. It's a different brand Real 889 00:48:40,640 --> 00:48:45,200 Speaker 1: Time Run Tomatoes. Yeah, it got kind of smack, No 890 00:48:45,280 --> 00:48:47,920 Speaker 1: it did, I mean, and you know that anyway, the 891 00:48:48,200 --> 00:48:52,680 Speaker 1: song I do wanna talk about Black Panther because I 892 00:48:52,719 --> 00:48:54,960 Speaker 1: think the last time I checked in with it was, 893 00:48:55,280 --> 00:48:58,400 Speaker 1: you know, opening weekend. It did really really well, but 894 00:48:58,440 --> 00:49:02,399 Speaker 1: it was like the third biggest mar movie opening ever. 895 00:49:02,640 --> 00:49:06,239 Speaker 1: And now because it's just continued to do insanely well, 896 00:49:06,320 --> 00:49:09,640 Speaker 1: it's the first movie since Avatar to be number one 897 00:49:09,640 --> 00:49:12,279 Speaker 1: of the box office for five straight weeks. Uh. It 898 00:49:12,440 --> 00:49:15,880 Speaker 1: is going to be the biggest Marvel movie ever. Uh 899 00:49:15,880 --> 00:49:20,160 Speaker 1: and it's already over a billion dollars internationally. Uh. I 900 00:49:20,200 --> 00:49:23,520 Speaker 1: don't know, it's just it's become it's not just like 901 00:49:24,040 --> 00:49:26,640 Speaker 1: a big movie. It is like one of the biggest 902 00:49:26,640 --> 00:49:30,080 Speaker 1: movies of all time, which is crazy. It's so big 903 00:49:30,160 --> 00:49:34,439 Speaker 1: that Marvel has moved up Infinity War right to get 904 00:49:34,440 --> 00:49:38,400 Speaker 1: on this hot that momentum, that wave. Um. I do 905 00:49:38,480 --> 00:49:42,800 Speaker 1: think this is interesting because this weekend there was a movie, 906 00:49:43,080 --> 00:49:44,719 Speaker 1: you know, toumb Rator came out, and we can talk 907 00:49:44,760 --> 00:49:48,239 Speaker 1: about that in a second. But a movie called I 908 00:49:48,280 --> 00:49:54,040 Speaker 1: Can Only Imagine or something a Christian movie? Is it 909 00:49:54,120 --> 00:49:57,000 Speaker 1: based on the song I can only imagine? That's right 910 00:49:57,480 --> 00:50:02,160 Speaker 1: when that big comes and I find myself sorry, I 911 00:50:02,239 --> 00:50:05,960 Speaker 1: was Christian kid. Yeah, I didn't hear that. We don't 912 00:50:05,960 --> 00:50:09,040 Speaker 1: get that song in my church. This is a movie 913 00:50:09,040 --> 00:50:11,760 Speaker 1: that made seventeen million dollars this weekend at the box office, 914 00:50:11,800 --> 00:50:14,800 Speaker 1: even though nobody was predicting it would make anything really 915 00:50:15,320 --> 00:50:19,000 Speaker 1: uh And. It's the story of a singer of a 916 00:50:19,400 --> 00:50:22,600 Speaker 1: popular Christian rock song, uh And. He tells the story 917 00:50:22,600 --> 00:50:24,839 Speaker 1: of his abusive childhood and how he came to sing 918 00:50:24,880 --> 00:50:28,560 Speaker 1: that song. What's the name of the band? H Mercy 919 00:50:28,840 --> 00:50:31,360 Speaker 1: Mercy Me there you go? I remember them. It's round 920 00:50:31,480 --> 00:50:37,040 Speaker 1: Back Presents. What will Sing? Will Ve Dance for Jesus? 921 00:50:37,719 --> 00:50:41,680 Speaker 1: You grew up like very, very satis. I only know 922 00:50:41,719 --> 00:50:43,640 Speaker 1: the old school songs like let me Hear It and 923 00:50:43,800 --> 00:50:51,160 Speaker 1: he Will Raise You Up? Goes? Were you there when 924 00:50:51,160 --> 00:50:57,759 Speaker 1: they crucified him? Sometimes it cause it's me to tremble. 925 00:50:58,800 --> 00:51:00,799 Speaker 1: This happens when you go, man, I was up on 926 00:51:00,840 --> 00:51:03,560 Speaker 1: that hill. Song you know what I'm saying that Chris Tomlin, 927 00:51:04,040 --> 00:51:05,800 Speaker 1: you got the good ship. You know what I'm saying. 928 00:51:06,320 --> 00:51:09,840 Speaker 1: But I think this movie I just wanted to. I 929 00:51:09,880 --> 00:51:13,319 Speaker 1: wanted to make the comparison that Christian movies. Every once 930 00:51:13,360 --> 00:51:15,160 Speaker 1: in a while there will be a Christian movie that 931 00:51:15,200 --> 00:51:17,560 Speaker 1: will just like blow up and people will be like, wait, 932 00:51:17,600 --> 00:51:21,520 Speaker 1: I didn't even know this movie existed. Rights in this 933 00:51:21,920 --> 00:51:26,279 Speaker 1: yeah exactly, and uh, God's not dead. They always get 934 00:51:26,360 --> 00:51:29,120 Speaker 1: killed by the critics. It's like at twenty seven on Metacritic. 935 00:51:29,239 --> 00:51:31,799 Speaker 1: It reminds me of like Tyler Perry movies, like when 936 00:51:31,840 --> 00:51:33,680 Speaker 1: they come out and they just blow up and people 937 00:51:33,680 --> 00:51:37,080 Speaker 1: are like, what this movie is a bombinable? Uh, and 938 00:51:37,239 --> 00:51:41,080 Speaker 1: you know they always get smashed on Metacritic and uh, 939 00:51:41,320 --> 00:51:46,640 Speaker 1: you know, but they're hitting a underserved demographic. I feel like, um, 940 00:51:46,719 --> 00:51:48,439 Speaker 1: And it's also just like your fans are gonna show 941 00:51:48,480 --> 00:51:49,560 Speaker 1: out for you, like you know what I mean, Like 942 00:51:49,600 --> 00:51:52,880 Speaker 1: Tyler Perry's fans don't read Variety, being like, I wonder 943 00:51:52,920 --> 00:51:55,239 Speaker 1: what they thought about this movie. Like Perry fans are 944 00:51:55,280 --> 00:51:57,319 Speaker 1: just like, let me see Tyler Perry and address right, 945 00:51:57,360 --> 00:52:00,840 Speaker 1: and I'm gonna go home happy. That was worth Yeah, 946 00:52:01,360 --> 00:52:03,440 Speaker 1: getting tickets for nine. Listen, these things don't live in 947 00:52:03,520 --> 00:52:08,600 Speaker 1: l A. Well, let's say with this film, this picture 948 00:52:08,680 --> 00:52:13,879 Speaker 1: sixty seven percent female over thirty five for I can 949 00:52:13,880 --> 00:52:16,640 Speaker 1: only imagine. Yeah, yeah, yeah, I'm telling My mom is 950 00:52:16,640 --> 00:52:18,520 Speaker 1: about to text me right now and say it, God, 951 00:52:18,640 --> 00:52:22,480 Speaker 1: why don't you like movies like these? What did she 952 00:52:22,520 --> 00:52:24,920 Speaker 1: tell you? That's what you should? You should write movies. 953 00:52:25,040 --> 00:52:27,399 Speaker 1: My mom, whenever I go home, has me sit down 954 00:52:27,440 --> 00:52:29,560 Speaker 1: and watch Fireproof and say you can find these people. 955 00:52:29,640 --> 00:52:31,960 Speaker 1: I don't even know what fireproof is that it's another 956 00:52:31,960 --> 00:52:36,080 Speaker 1: one of those is reel good movie. Heaven is reel 957 00:52:36,400 --> 00:52:41,319 Speaker 1: Heaven is a very popular one. Um My mom loves 958 00:52:41,360 --> 00:52:43,880 Speaker 1: that ship. And every time I go home, she convinces 959 00:52:43,920 --> 00:52:46,120 Speaker 1: me to make those kinds of movies. Right, And you're like, oh, 960 00:52:46,160 --> 00:52:48,719 Speaker 1: and you should watch this John Waters song. Yeah, and 961 00:52:48,760 --> 00:52:50,400 Speaker 1: then she gets Remember I tried to convince my mom 962 00:52:50,400 --> 00:52:53,319 Speaker 1: to watch Lady Burton. She said he's that guessing And 963 00:52:53,360 --> 00:52:54,879 Speaker 1: I said a little bit. She said, I'm not going 964 00:52:54,920 --> 00:52:58,000 Speaker 1: to watch oh man, I said, that's a good movie 965 00:52:58,000 --> 00:53:01,319 Speaker 1: about moms. To do a teller. I'm in love with 966 00:53:01,320 --> 00:53:04,279 Speaker 1: a church girl with jaw rule. My buddy edited that 967 00:53:04,320 --> 00:53:06,520 Speaker 1: and it was the production of that film was a nightmare. 968 00:53:06,560 --> 00:53:09,040 Speaker 1: And that's a faith based film, is it really? Yeah? 969 00:53:09,120 --> 00:53:12,439 Speaker 1: And you know the dude to produce it, I don't 970 00:53:12,440 --> 00:53:13,799 Speaker 1: even know, like say something that he was like he 971 00:53:13,960 --> 00:53:16,160 Speaker 1: like running a megachurch like up in San Jose and 972 00:53:16,160 --> 00:53:17,920 Speaker 1: like got a ton of money from his personers to 973 00:53:17,920 --> 00:53:20,279 Speaker 1: make it. He was also into some other shitty stuff. 974 00:53:20,280 --> 00:53:22,040 Speaker 1: But anyway, job roles in his name is Miles in 975 00:53:22,040 --> 00:53:25,480 Speaker 1: the film. So I was gonna say, do Christian movies 976 00:53:25,560 --> 00:53:29,319 Speaker 1: have like a future Black Panther equivalent where they're going 977 00:53:29,360 --> 00:53:33,440 Speaker 1: to like have this massive box office domination when they 978 00:53:33,480 --> 00:53:37,960 Speaker 1: combine with like a very i'm sure well executed blockbuster. 979 00:53:38,040 --> 00:53:40,640 Speaker 1: But then I was really the passion was basically that No. 980 00:53:40,760 --> 00:53:42,520 Speaker 1: But I feel like, you see how like we just 981 00:53:42,560 --> 00:53:44,920 Speaker 1: sang like these songs that we were familiar with from 982 00:53:45,320 --> 00:53:48,360 Speaker 1: like the cultural touchstone of Christianity and our childhood or 983 00:53:48,400 --> 00:53:51,080 Speaker 1: whatever like that you could find a way to sort 984 00:53:51,120 --> 00:53:55,880 Speaker 1: of exploit that nostalgia coupled with people who are actually 985 00:53:56,400 --> 00:54:00,200 Speaker 1: uh like current uh you know, uh churchgoers and things 986 00:54:00,239 --> 00:54:02,239 Speaker 1: like that, and maybe find some overlap. I mean that 987 00:54:02,280 --> 00:54:04,920 Speaker 1: would be like the finesse ven diagram move of the century. 988 00:54:04,920 --> 00:54:07,960 Speaker 1: But uh, and then real quick, we want to talk 989 00:54:08,000 --> 00:54:09,919 Speaker 1: about the number two movies. So we've talked about Black 990 00:54:09,960 --> 00:54:13,439 Speaker 1: Panther number one, and uh, I can only imagine number three. 991 00:54:13,520 --> 00:54:20,360 Speaker 1: Number two was tomb Raider, the reboot with Alicia Vickender. 992 00:54:20,520 --> 00:54:27,359 Speaker 1: Alicia Vikender um nice and amazing. So uh, the main 993 00:54:27,400 --> 00:54:30,719 Speaker 1: thing I've been hearing about this is that you know, 994 00:54:30,880 --> 00:54:34,080 Speaker 1: it's just another tomb Rader movie. I guess. The original 995 00:54:34,080 --> 00:54:39,880 Speaker 1: tomb Rader was the most successful video game adaptation movie 996 00:54:39,960 --> 00:54:42,919 Speaker 1: of all time still to this day. Yeah, I'm so 997 00:54:42,960 --> 00:54:45,879 Speaker 1: sorry to all the Resident Evil fans out there. I tried, 998 00:54:46,000 --> 00:54:49,399 Speaker 1: Oh man, I went to every opening night. Uh well, 999 00:54:49,520 --> 00:54:52,040 Speaker 1: when I was allowed to watch movies. Absolutely, yes I did. 1000 00:54:52,320 --> 00:54:54,560 Speaker 1: I mean because I love that franchise, and I love 1001 00:54:55,239 --> 00:54:58,840 Speaker 1: Mila Djovivic that kept her career going and her husband. 1002 00:54:58,880 --> 00:55:02,279 Speaker 1: The forgotten pt Anderson is that he's a director, right, 1003 00:55:03,040 --> 00:55:07,480 Speaker 1: He's like yeah, and his name is Pet Anderson. Name 1004 00:55:07,600 --> 00:55:13,239 Speaker 1: is Anderson, Name is Pet Anderson. And everyone was just 1005 00:55:13,280 --> 00:55:15,920 Speaker 1: like what Paul Thomas Anderson directed the Resident Evil movies? 1006 00:55:17,120 --> 00:55:24,680 Speaker 1: His um. But so there is also apparently a controversy 1007 00:55:24,719 --> 00:55:30,200 Speaker 1: going on on the internet about the casting of Loura 1008 00:55:30,239 --> 00:55:34,520 Speaker 1: Croft and whether her boobs are too small because he is. 1009 00:55:34,640 --> 00:55:38,560 Speaker 1: Apparently that was like the main feature of the lower 1010 00:55:38,600 --> 00:55:43,200 Speaker 1: craft character Croft, Laura I call her Craft because well 1011 00:55:43,239 --> 00:55:47,319 Speaker 1: that's what's my nickname for just triggered me. So the 1012 00:55:47,360 --> 00:55:50,080 Speaker 1: story of how she was designed is she was just 1013 00:55:50,120 --> 00:55:54,440 Speaker 1: like a female Indiana Jones who was normally proportioned. And then, uh, 1014 00:55:54,920 --> 00:55:57,960 Speaker 1: a designer was like, maybe we should give her slightly 1015 00:55:58,040 --> 00:56:00,359 Speaker 1: larger boobs, and so he was trying to reached them 1016 00:56:00,400 --> 00:56:03,000 Speaker 1: by fifty percent, but he increased them by a hundred 1017 00:56:03,040 --> 00:56:06,000 Speaker 1: and fifty percent accidentally and was like, oh, I'm sorry 1018 00:56:06,040 --> 00:56:09,759 Speaker 1: and fixed it and his team was like second, and 1019 00:56:09,800 --> 00:56:14,399 Speaker 1: now he has a mansion rightly, and uh, yeah, they 1020 00:56:14,480 --> 00:56:20,000 Speaker 1: left the mistake in and she had just physics defying 1021 00:56:20,200 --> 00:56:23,279 Speaker 1: boobs and uh that was sort of her main thing. 1022 00:56:23,360 --> 00:56:25,360 Speaker 1: And now a bunch of dudes are like, Okay, is 1023 00:56:25,360 --> 00:56:28,879 Speaker 1: it just me or can everybody else just agree that, like, 1024 00:56:29,000 --> 00:56:31,319 Speaker 1: her boobs are too small to be lured? No? I 1025 00:56:31,320 --> 00:56:32,920 Speaker 1: mean on Twitter they're saying, do I have to be 1026 00:56:32,960 --> 00:56:35,239 Speaker 1: the asshole who says her tits are too small for 1027 00:56:35,280 --> 00:56:37,719 Speaker 1: me to see her as Laura Croft? And then well, 1028 00:56:38,000 --> 00:56:40,000 Speaker 1: and then I think another one said what was like 1029 00:56:40,040 --> 00:56:42,440 Speaker 1: a current view that got redacted, or they're like, oh, 1030 00:56:42,440 --> 00:56:45,399 Speaker 1: it looks like Luke Croft with that flat chest kind 1031 00:56:45,400 --> 00:56:47,799 Speaker 1: of shipped in the like can I can I speak 1032 00:56:47,800 --> 00:56:50,680 Speaker 1: to that man directly? Sure? You have never had sex 1033 00:56:50,680 --> 00:56:53,359 Speaker 1: in old life. The only t of these you've ever 1034 00:56:53,400 --> 00:56:57,080 Speaker 1: seen are digital digital. So don't be mad at least 1035 00:56:57,120 --> 00:56:59,480 Speaker 1: because she's out here flexing, she's doing stunts that you 1036 00:56:59,520 --> 00:57:01,960 Speaker 1: could never do. The thing is, the Laura Croft character 1037 00:57:02,000 --> 00:57:04,520 Speaker 1: has been so hyper sexualized, like from the get go, 1038 00:57:04,640 --> 00:57:06,480 Speaker 1: that people still can't shake it. Because even like when 1039 00:57:06,480 --> 00:57:09,279 Speaker 1: the film came out in two thousand one, people were 1040 00:57:09,320 --> 00:57:13,080 Speaker 1: like fixated on the idea of like Angelina Jolie's breasts 1041 00:57:13,120 --> 00:57:15,920 Speaker 1: and if they measured up to the character, and like 1042 00:57:16,000 --> 00:57:18,520 Speaker 1: asking her in interviews like, oh, well, what did you 1043 00:57:18,560 --> 00:57:20,800 Speaker 1: do like to like bust out as your role as 1044 00:57:20,880 --> 00:57:22,760 Speaker 1: Laura what did you have to do? And she's like, oh, 1045 00:57:22,840 --> 00:57:26,280 Speaker 1: we had to enhance a few things, and like people 1046 00:57:26,280 --> 00:57:28,360 Speaker 1: a trash yeah, And even then, like I think from 1047 00:57:28,400 --> 00:57:30,400 Speaker 1: back then there was a like Washington Post, is this 1048 00:57:30,520 --> 00:57:34,120 Speaker 1: a reviewer says Laura Croft? Tuma starts Angelina Jolie's lips 1049 00:57:34,160 --> 00:57:37,000 Speaker 1: and breasts and in a much smaller role the actual 1050 00:57:37,040 --> 00:57:40,320 Speaker 1: Angelina Jolie herself. Listen, I'm gonna say this right now. 1051 00:57:40,360 --> 00:57:42,640 Speaker 1: These video game niggas is fake as fun because they 1052 00:57:42,720 --> 00:57:45,640 Speaker 1: let Mark Wahlberg by Max Pain and he looks nothing 1053 00:57:45,680 --> 00:57:49,000 Speaker 1: like Max Paint. Ain't say shit. But now they're gonna 1054 00:57:49,000 --> 00:57:51,920 Speaker 1: come from Laura Croft because they're titties. Man, this is ridiculous. 1055 00:57:52,480 --> 00:57:55,400 Speaker 1: It's again. It shows you, you know, the toxic overlap 1056 00:57:55,400 --> 00:57:57,480 Speaker 1: of a video game. Uh, you know some men in 1057 00:57:57,520 --> 00:58:00,360 Speaker 1: the video game world and having this kind of I'm 1058 00:58:00,360 --> 00:58:02,040 Speaker 1: gonna come find me on Fortnite so you can get 1059 00:58:02,040 --> 00:58:04,400 Speaker 1: the ass beat. Let's not forget where the men's right 1060 00:58:04,440 --> 00:58:09,120 Speaker 1: to activist movements started, gammer Gate, gamer Gate. Alright, Edgar, 1061 00:58:09,360 --> 00:58:12,240 Speaker 1: it has been a pleasure as always having you. Where 1062 00:58:12,240 --> 00:58:15,320 Speaker 1: can people find you? They can find me on Twitter 1063 00:58:15,400 --> 00:58:19,400 Speaker 1: at Edgar Montpezier. Please join in my campaign to restore 1064 00:58:19,440 --> 00:58:25,440 Speaker 1: my cum shorts. Yea, they've been taken from me. And 1065 00:58:25,800 --> 00:58:28,000 Speaker 1: if you guys could please convince my girlfriend that it 1066 00:58:28,040 --> 00:58:30,360 Speaker 1: is a normal and or okay thing to do, that 1067 00:58:30,360 --> 00:58:32,960 Speaker 1: would be quite helpful. I might almost be able to 1068 00:58:32,960 --> 00:58:35,160 Speaker 1: guarantee you that you might not find any people. It's 1069 00:58:35,160 --> 00:58:37,480 Speaker 1: all right. People were d M ing me asking about you, 1070 00:58:38,440 --> 00:58:42,040 Speaker 1: Edgar fucking crazy. I was like, man, I'm not here 1071 00:58:42,040 --> 00:58:43,760 Speaker 1: to judge what this man does. And listen to all 1072 00:58:43,760 --> 00:58:46,640 Speaker 1: those people. Print out your porn searches and let's see 1073 00:58:46,640 --> 00:58:49,320 Speaker 1: who's fucking crazy because I'm out here jerking into shorts 1074 00:58:49,440 --> 00:58:52,360 Speaker 1: watching normal porns while you're out there jerking into napkins 1075 00:58:52,360 --> 00:58:55,080 Speaker 1: watching some fucked up Japanese game show. So don't be 1076 00:58:55,120 --> 00:58:58,240 Speaker 1: coming at me because Japanese game show. Now you know 1077 00:58:58,240 --> 00:59:00,720 Speaker 1: what you lost the cum shorts out lot. Man, Please 1078 00:59:00,760 --> 00:59:02,800 Speaker 1: flame this man in his Twitter. You guys know what 1079 00:59:02,800 --> 00:59:05,000 Speaker 1: I'm talking about. With these japan game shows. They gay wow, 1080 00:59:05,560 --> 00:59:07,880 Speaker 1: they do need to leave japanel on, Edgar, this is 1081 00:59:08,120 --> 00:59:10,680 Speaker 1: problem at miles Where can people find you? Oh, you 1082 00:59:10,720 --> 00:59:14,720 Speaker 1: can find me reporting Edgar's Twitter and Instagram. But if 1083 00:59:14,720 --> 00:59:16,560 Speaker 1: you want to find me on my at Miles of Gray, 1084 00:59:16,600 --> 00:59:19,560 Speaker 1: on Twitter and Instagram and even on PlayStation, people are 1085 00:59:19,600 --> 00:59:23,760 Speaker 1: like ps n name, it's Miles of great. I keep 1086 00:59:23,760 --> 00:59:26,120 Speaker 1: it consistent. I'm not gonna promise I will follow you, 1087 00:59:26,160 --> 00:59:27,920 Speaker 1: but at least send me a message and stroke my 1088 00:59:27,960 --> 00:59:31,040 Speaker 1: ego and maybe I will grant you access. Let's play 1089 00:59:31,080 --> 00:59:34,840 Speaker 1: Fortnite together, Edgar, dead Goal. You can follow me at 1090 00:59:34,880 --> 00:59:38,080 Speaker 1: Jack Underscore O'Brien on Twitter. You can follow us at 1091 00:59:38,160 --> 00:59:40,440 Speaker 1: Daily's like Ice on Twitter at the Daily's Like Ice 1092 00:59:40,560 --> 00:59:43,200 Speaker 1: on Instagram. We have Facebook fan page and a website, 1093 00:59:43,240 --> 00:59:46,240 Speaker 1: Dailies like Ice dot Com, where we post our episodes 1094 00:59:46,320 --> 00:59:49,800 Speaker 1: and our foot or link off to the sources of 1095 00:59:49,800 --> 00:59:52,800 Speaker 1: the information we talked about today. That's gonna do it 1096 00:59:52,840 --> 00:59:55,320 Speaker 1: for today, Miles. Do we have a song that you 1097 00:59:55,760 --> 00:59:57,560 Speaker 1: like to write us out on? Yeah, you know, I 1098 00:59:57,640 --> 00:59:59,880 Speaker 1: just let's just start off the weeks and a nice groove. 1099 01:00:00,400 --> 01:00:02,960 Speaker 1: So this is one of my favorite sort of first 1100 01:00:03,000 --> 01:00:05,400 Speaker 1: baseline I've ever learned, and also one of the great 1101 01:00:05,640 --> 01:00:08,160 Speaker 1: tracks of Herbie Hancock's when he had the head Hunter's 1102 01:00:08,200 --> 01:00:12,400 Speaker 1: album on the great classic song Watermelon Man. But this vibe, this, 1103 01:00:12,480 --> 01:00:13,960 Speaker 1: oh my god, let me just tell you from the 1104 01:00:14,000 --> 01:00:17,160 Speaker 1: drums for the bass, guitar, everything, it's just a wonderful 1105 01:00:17,200 --> 01:00:20,080 Speaker 1: rendition of Watermelon Man. And I promise you if you 1106 01:00:20,200 --> 01:00:22,520 Speaker 1: like this kind of stuff you've been like, we're gonna 1107 01:00:22,520 --> 01:00:24,560 Speaker 1: write out on that. We will be back tomorrow because 1108 01:00:24,600 --> 01:01:01,480 Speaker 1: it is a daily podcast. Talk to them. The wer 1109 01:01:01,640 --> 01:02:17,760 Speaker 1: the er, the er, theer, theer, theer theer. M er 1110 01:02:25,680 --> 01:04:53,080 Speaker 1: boffo poof football, bof boffer po boffer, poffo po boffer poofofofo. 1111 01:05:00,080 --> 01:05:43,480 Speaker 1: Ah so sad. Just see the sea, This is little way. 1112 01:05:45,240 --> 01:05:59,280 Speaker 1: This is the end of the end of the day. 1113 01:06:00,480 --> 01:06:34,520 Speaker 1: The money who who all who m