1 00:00:00,240 --> 00:00:03,279 Speaker 1: Hello the Internet, and welcome to season forty three, episode 2 00:00:03,279 --> 00:00:07,280 Speaker 1: two of their Daily Night Guys Where August seven, two eight. 3 00:00:07,320 --> 00:00:11,160 Speaker 1: Team my Names, Jack O'Brien aka Me and you, Oh 4 00:00:11,320 --> 00:00:15,040 Speaker 1: Brian and the Night Gang two miles down to step 5 00:00:15,160 --> 00:00:20,120 Speaker 1: on toes coming up Prussian third rate shows there's courtesy 6 00:00:20,160 --> 00:00:22,639 Speaker 1: of one Pablo Sinclair on Twitter, and I'm thrilled to 7 00:00:22,640 --> 00:00:25,840 Speaker 1: be joined as always by my co host, Mr Miles Gray. 8 00:00:27,280 --> 00:00:32,560 Speaker 1: Oh what's that coming over the horizon? Could it be? Yes? 9 00:00:33,240 --> 00:00:37,239 Speaker 1: Miles is a dance? Jack's my sult companigin if you 10 00:00:37,320 --> 00:00:44,360 Speaker 1: can get gang everywhere? Blinde watching Mangazi, fake news, Papa Rozzi, 11 00:00:44,880 --> 00:00:51,480 Speaker 1: I have dy and no hair? Whoa we hate fasci us? 12 00:00:51,479 --> 00:00:54,320 Speaker 1: Whoa anyway? Yeah, thank you so much to Hex for 13 00:00:54,400 --> 00:00:58,520 Speaker 1: that snap inspired a k because rhythm we just decided 14 00:00:58,600 --> 00:01:00,600 Speaker 1: right before we went live that rhythm is in fact, 15 00:01:00,680 --> 00:01:03,840 Speaker 1: they d answer, So get looked it up. Are we 16 00:01:03,920 --> 00:01:06,960 Speaker 1: rhythm or are we dnswer think about that? Think about it. 17 00:01:07,040 --> 00:01:08,680 Speaker 1: I'm we are through to be joining our third tee 18 00:01:08,720 --> 00:01:10,640 Speaker 1: by one of the funniest human beings and writers on 19 00:01:10,720 --> 00:01:13,679 Speaker 1: planet Earth and one of my favorite people on planet Earth. 20 00:01:13,800 --> 00:01:17,640 Speaker 1: We are of no relation, Mr Daniel O'Brien, thank you. 21 00:01:17,760 --> 00:01:19,520 Speaker 1: It's a shame you said such nice things about me 22 00:01:19,560 --> 00:01:21,960 Speaker 1: because they had loaded in the chamber a joke about 23 00:01:21,959 --> 00:01:24,280 Speaker 1: how you're a ks must come from bloom A paper, 24 00:01:24,319 --> 00:01:28,280 Speaker 1: because you're really making a fucking meal out of them, insane. 25 00:01:28,440 --> 00:01:30,600 Speaker 1: You guys are out of control. What so what do 26 00:01:30,640 --> 00:01:32,319 Speaker 1: you mean? What's what's out of control about? It is 27 00:01:32,319 --> 00:01:34,800 Speaker 1: it's too self indulgent to start a podcast and have 28 00:01:34,920 --> 00:01:38,520 Speaker 1: to hit the skip ahead fifteen seconds, mustial times to 29 00:01:38,640 --> 00:01:40,080 Speaker 1: get to the guests. This is just this is what 30 00:01:40,120 --> 00:01:42,479 Speaker 1: we do, you know, it's it used to just be potatoes, 31 00:01:42,640 --> 00:01:45,480 Speaker 1: it used to just be a word. And now you 32 00:01:45,480 --> 00:01:49,000 Speaker 1: guys are are really making little one many musical one. Yeah, 33 00:01:49,040 --> 00:01:50,960 Speaker 1: pretty soon we're gonna do. I think I'm going to 34 00:01:51,000 --> 00:01:53,200 Speaker 1: try and do And that's a twenty minute full on 35 00:01:53,240 --> 00:01:56,640 Speaker 1: a just to take people there. They're often not even 36 00:01:57,320 --> 00:02:00,880 Speaker 1: puns anymore, like say which I'm kind of miles. That 37 00:02:01,040 --> 00:02:04,840 Speaker 1: kind of works. Gray bad, gray bad. I won't see 38 00:02:04,840 --> 00:02:09,600 Speaker 1: anything gray in there, so it all works. I'm glad 39 00:02:09,639 --> 00:02:11,600 Speaker 1: I cut the went to them all the other day. 40 00:02:11,800 --> 00:02:15,680 Speaker 1: The entire first verse that is gonna wrap of my 41 00:02:15,760 --> 00:02:18,720 Speaker 1: A K. Daniel. It's wonderful to have you before we 42 00:02:18,760 --> 00:02:20,239 Speaker 1: get to know you a little bit better. We're gonna 43 00:02:20,280 --> 00:02:23,520 Speaker 1: tell our listeners what they're in store for. Uh. We're 44 00:02:23,560 --> 00:02:25,880 Speaker 1: gonna talk about how we're all living in a new 45 00:02:25,919 --> 00:02:29,040 Speaker 1: reality that language hasn't caught up with. To start off 46 00:02:29,040 --> 00:02:32,799 Speaker 1: with something light, Uh, we're gonna talk about four and 47 00:02:32,880 --> 00:02:36,360 Speaker 1: ten movies made under direct influence of the Pentagonal list 48 00:02:36,960 --> 00:02:40,640 Speaker 1: using Foyer requests was just compiled. It's pretty interesting. We're 49 00:02:40,680 --> 00:02:44,600 Speaker 1: gonna talk about Rick Gates, the witness at the Maniport 50 00:02:44,600 --> 00:02:49,400 Speaker 1: trial yesterday. It's just like, yeah, we crimed it up together, 51 00:02:49,760 --> 00:02:54,080 Speaker 1: that's for sure. We're gonna talk about how certain elections 52 00:02:54,080 --> 00:02:56,440 Speaker 1: are looking a little shady. If you're if you're worried 53 00:02:56,480 --> 00:03:00,280 Speaker 1: about the sanctity of our democracy, you might be in 54 00:03:00,280 --> 00:03:03,320 Speaker 1: in store for some sleepless nights. We're gonna talk about 55 00:03:03,360 --> 00:03:07,840 Speaker 1: Steven Sagall now being a Russian citizen, not just a friend, 56 00:03:08,080 --> 00:03:11,119 Speaker 1: but a Russian citizen, like I assumed that was the case, 57 00:03:11,160 --> 00:03:16,919 Speaker 1: that he's been pronounced Vladimir Putin. Uh. We're gonna talk 58 00:03:17,280 --> 00:03:20,919 Speaker 1: with super producer on a hosnier about what the funk 59 00:03:21,000 --> 00:03:24,720 Speaker 1: went down on the Bachelorette last night. We're gonna talk 60 00:03:24,880 --> 00:03:29,680 Speaker 1: about Colin Kaevernick on the New Madden and we're not 61 00:03:29,800 --> 00:03:32,280 Speaker 1: on it. Yeah, we're not on it, and you know 62 00:03:33,040 --> 00:03:36,160 Speaker 1: we're and you know, and you know, and that whole 63 00:03:36,200 --> 00:03:39,800 Speaker 1: thing racism. We're gonna talk about how Johnny Depp's Biggie Flick, 64 00:03:40,280 --> 00:03:43,520 Speaker 1: which we've talked about once or twice. Before I saw 65 00:03:43,520 --> 00:03:45,800 Speaker 1: the trailer, I was confused as to how this was 66 00:03:45,840 --> 00:03:48,240 Speaker 1: going to be a movie. It turns out it's not, 67 00:03:48,360 --> 00:03:51,680 Speaker 1: maybe because they pulled it from the release schedule. It's 68 00:03:51,720 --> 00:03:54,880 Speaker 1: no longer being released in a month. Uh, movie pass 69 00:03:54,960 --> 00:03:58,119 Speaker 1: has downgraded yet again. Somehow. We're going to talk about 70 00:03:58,160 --> 00:04:02,840 Speaker 1: the McDonald's monopoly scam going to theaters near you in 71 00:04:02,840 --> 00:04:06,440 Speaker 1: the not too distant future. But first, Daniel, we like 72 00:04:06,480 --> 00:04:09,120 Speaker 1: to ask Carl Guest, what is something from your search 73 00:04:09,160 --> 00:04:12,000 Speaker 1: history that's revealing about who you are? The most recent 74 00:04:12,200 --> 00:04:16,080 Speaker 1: search that had was why aren't there more female magicians? 75 00:04:16,120 --> 00:04:18,919 Speaker 1: Something that I've been thinking about for a while, and 76 00:04:18,960 --> 00:04:21,680 Speaker 1: I want to stay in advance that the answer is 77 00:04:21,680 --> 00:04:24,559 Speaker 1: not satisfying. UM, But I watch a lot of magic 78 00:04:24,680 --> 00:04:27,080 Speaker 1: videos on YouTube because I like magic a whole lot, 79 00:04:27,240 --> 00:04:29,680 Speaker 1: and the show fool Us with Penn and Teller is 80 00:04:29,760 --> 00:04:32,160 Speaker 1: a joy of a show to watch. And I'm noticing 81 00:04:32,200 --> 00:04:35,279 Speaker 1: that like one, just anecdotally, one out of every like 82 00:04:35,400 --> 00:04:39,400 Speaker 1: twenty was a female magician. And I started googling around. 83 00:04:39,480 --> 00:04:41,960 Speaker 1: I assumed in the back of my head that the 84 00:04:42,000 --> 00:04:44,680 Speaker 1: reason would be some like secretly terrible sexist reason, like 85 00:04:44,720 --> 00:04:47,240 Speaker 1: we would find out that, like most industries, the magic 86 00:04:47,279 --> 00:04:50,719 Speaker 1: industry is like very toxic and bad for women's like 87 00:04:50,760 --> 00:04:53,960 Speaker 1: stand up comedy, right right. I haven't exactly seen that. 88 00:04:54,000 --> 00:04:56,279 Speaker 1: But the only article that I found, and it's called 89 00:04:56,320 --> 00:04:58,640 Speaker 1: why are there so Few Female Magicians? It's from The 90 00:04:58,640 --> 00:05:00,920 Speaker 1: Atlantic by Ashley Feder, but it came out in two 91 00:05:00,920 --> 00:05:02,680 Speaker 1: thousand thirteen, and I just feel like we need to 92 00:05:02,680 --> 00:05:06,240 Speaker 1: do another study because even in this report, the author 93 00:05:06,360 --> 00:05:08,680 Speaker 1: is just like, we're not really sure. Sometimes people are 94 00:05:08,680 --> 00:05:11,960 Speaker 1: saying maybe it's because women aren't aren't encouraged to play 95 00:05:12,000 --> 00:05:14,760 Speaker 1: with toys when they're young, and toys lead to magic. 96 00:05:15,080 --> 00:05:17,000 Speaker 1: There's a lot of people saying, like magic is a 97 00:05:17,040 --> 00:05:20,360 Speaker 1: pursuit of people who get bullied as a kid, because 98 00:05:20,360 --> 00:05:25,839 Speaker 1: it's very much an indoor introvert pursuit. And uh, the 99 00:05:25,960 --> 00:05:29,160 Speaker 1: article suspects that women don't get bullied as much when 100 00:05:29,160 --> 00:05:32,599 Speaker 1: they're they're younger, and they don't. We gotta yeah, we 101 00:05:32,680 --> 00:05:36,720 Speaker 1: need Daniel O'Brien think peace on the closest thing that 102 00:05:36,800 --> 00:05:38,760 Speaker 1: they got that made like literal sense to me was 103 00:05:38,800 --> 00:05:40,600 Speaker 1: it's a costume thing. A lot of times magic you 104 00:05:40,680 --> 00:05:43,200 Speaker 1: hide things in your coat and your sleeves, and women 105 00:05:43,240 --> 00:05:45,800 Speaker 1: don't wear big coats. When they do, you have an 106 00:05:45,800 --> 00:05:49,760 Speaker 1: attractive woman, So it's just like it's harder to do 107 00:05:49,839 --> 00:05:52,039 Speaker 1: magic when you're wearing a tight dress, right or yeah? 108 00:05:52,040 --> 00:05:54,040 Speaker 1: And I think if and if you look at the 109 00:05:54,120 --> 00:05:56,600 Speaker 1: magic shows, like as a kid, the women roys, the 110 00:05:56,640 --> 00:05:59,400 Speaker 1: assistance who are just in address who had sod in half? 111 00:05:59,400 --> 00:06:01,720 Speaker 1: And that was that, And I guess maybe if you're 112 00:06:01,720 --> 00:06:03,520 Speaker 1: not represented like that as a kid, are like, I 113 00:06:03,560 --> 00:06:04,920 Speaker 1: don't want to do that. I'm not sure I saw 114 00:06:04,960 --> 00:06:06,960 Speaker 1: it in half. Also shout out to my homegirl Carl, 115 00:06:07,080 --> 00:06:10,560 Speaker 1: who was actually a very avid magician. It was like 116 00:06:10,560 --> 00:06:12,640 Speaker 1: a producer that I met on a like a past 117 00:06:12,720 --> 00:06:15,320 Speaker 1: job and she was taking classes at the Magic House. 118 00:06:15,520 --> 00:06:17,120 Speaker 1: She's like, I've always wanted to be a magician since 119 00:06:17,120 --> 00:06:18,240 Speaker 1: I was a kid. It's like now that have the 120 00:06:18,240 --> 00:06:20,520 Speaker 1: free time I'm doing and actually I think wrote a 121 00:06:20,520 --> 00:06:24,400 Speaker 1: film about being a queer magician. Yeah, that she's trying 122 00:06:24,400 --> 00:06:27,640 Speaker 1: to get kickstarted. Yeah, that's film. Just reminds me of 123 00:06:27,720 --> 00:06:31,599 Speaker 1: how dated that article is because they open their article 124 00:06:31,680 --> 00:06:36,839 Speaker 1: with in the new movie Burt Wonderstone Magician, I'm like, 125 00:06:36,960 --> 00:06:42,839 Speaker 1: this is no longer relevant. Wow, that movie happened, didn't it. Um. Yeah, 126 00:06:42,839 --> 00:06:46,280 Speaker 1: I also wonder if there's any element of it that 127 00:06:47,360 --> 00:06:51,239 Speaker 1: magical women scare men like and have since very early 128 00:06:51,320 --> 00:06:53,200 Speaker 1: on which I was brought up to. It was like, yeah, 129 00:06:53,240 --> 00:06:57,200 Speaker 1: because for hundreds of years women were murdered for pursuing that. 130 00:06:59,839 --> 00:07:04,039 Speaker 1: I give you to like Carrie, they have to unmagic 131 00:07:04,160 --> 00:07:07,720 Speaker 1: everything just to keep men comfortable. What is something you 132 00:07:07,760 --> 00:07:12,000 Speaker 1: think is overrated? Daniel, I'm gonna say Howard Stern and Jack. 133 00:07:12,040 --> 00:07:13,440 Speaker 1: You're a little bit older than me, so I want 134 00:07:13,440 --> 00:07:15,640 Speaker 1: to do my little piece about him and then leave 135 00:07:15,720 --> 00:07:17,920 Speaker 1: room for you to prove me wrong, because I think 136 00:07:17,920 --> 00:07:21,600 Speaker 1: that that that I will not be um. I bring 137 00:07:21,640 --> 00:07:25,040 Speaker 1: this up just because he is someone that I was 138 00:07:25,080 --> 00:07:27,000 Speaker 1: aware of as a child as a shock jock, and like, 139 00:07:27,080 --> 00:07:29,760 Speaker 1: I'm from far enough in the past that my life 140 00:07:29,760 --> 00:07:32,120 Speaker 1: is quaint, and like Howard Stern, my dad would listen to. 141 00:07:32,200 --> 00:07:33,840 Speaker 1: But I was not allowed to listen to this. I'm 142 00:07:33,880 --> 00:07:36,560 Speaker 1: from a very different time where like this radio program 143 00:07:36,560 --> 00:07:38,280 Speaker 1: is for adults, you can't listen to it. But I 144 00:07:38,320 --> 00:07:40,520 Speaker 1: knew of him as like a shocking guy, and then 145 00:07:40,560 --> 00:07:42,800 Speaker 1: I saw his show on E And the thing that 146 00:07:42,840 --> 00:07:45,000 Speaker 1: sticks in my craw about him is that so many 147 00:07:45,040 --> 00:07:48,320 Speaker 1: comedians and writers and people I respect really revere him. 148 00:07:48,360 --> 00:07:51,679 Speaker 1: He is like somehow graduated into this place of uh 149 00:07:51,920 --> 00:07:57,120 Speaker 1: royalty and untouchability, especially as an interviewer, and everyone just like, oh, 150 00:07:57,200 --> 00:07:58,920 Speaker 1: I mean like that he does the shock jock stuff, 151 00:07:58,960 --> 00:08:01,520 Speaker 1: but really him as an interview or he gets places 152 00:08:01,520 --> 00:08:04,880 Speaker 1: that you wouldn't expect. So I did some research into this, 153 00:08:04,960 --> 00:08:06,640 Speaker 1: and I just don't think it bears any fruit. Like 154 00:08:06,640 --> 00:08:11,800 Speaker 1: I there's so many old interviews with him and uh, miles, 155 00:08:11,800 --> 00:08:17,040 Speaker 1: your President, Donald Trump, And there is no one on 156 00:08:17,080 --> 00:08:19,040 Speaker 1: the planet, no one on Fox News who is as 157 00:08:19,560 --> 00:08:23,600 Speaker 1: asked kissy to Donald Trump as Howard Stern really fawning 158 00:08:23,640 --> 00:08:26,840 Speaker 1: interview after fawning interview through the nineties nearly two thousands, 159 00:08:26,840 --> 00:08:29,240 Speaker 1: where he's just talking about what a stud Donald Trump 160 00:08:29,280 --> 00:08:31,000 Speaker 1: is and just like setting him up to be the man, 161 00:08:31,080 --> 00:08:33,920 Speaker 1: and not in a way that he's not giving Trump 162 00:08:34,000 --> 00:08:36,640 Speaker 1: rope to hang himself or embarrass himself. He just like, man, 163 00:08:36,679 --> 00:08:38,520 Speaker 1: I but you're you're what you're you're you're pulling down 164 00:08:38,520 --> 00:08:42,120 Speaker 1: like tens models every night, right say yes, like yeah, 165 00:08:42,160 --> 00:08:48,560 Speaker 1: I guess I am. You're so great. And there's other 166 00:08:48,600 --> 00:08:50,560 Speaker 1: views that I see him do, Like there's one that 167 00:08:50,760 --> 00:08:53,800 Speaker 1: sticks out in my mind from uh when he was 168 00:08:53,840 --> 00:08:55,720 Speaker 1: doing the E Show, which was just his show that 169 00:08:55,760 --> 00:08:57,840 Speaker 1: was filmed, and he had Carmen Electra on and he 170 00:08:57,880 --> 00:09:01,280 Speaker 1: wanted to sit on the Sabbian machine. Is that the yeah, 171 00:09:01,360 --> 00:09:04,439 Speaker 1: some like sex toy machine, and he very clearly wanted 172 00:09:04,480 --> 00:09:07,200 Speaker 1: to get her to orgasm live on the radio, and 173 00:09:07,280 --> 00:09:09,800 Speaker 1: she very clearly like, no, I'm not going to do that, 174 00:09:10,160 --> 00:09:12,440 Speaker 1: and he's and he's like, she does that Howard starting thing. 175 00:09:12,480 --> 00:09:13,880 Speaker 1: It gets really close to the mic and it's like, 176 00:09:14,000 --> 00:09:15,520 Speaker 1: just bet, there's no wheels here, it's just me. It's 177 00:09:15,520 --> 00:09:18,000 Speaker 1: just me. How it's Stern sucking me, Howard Stern and 178 00:09:18,040 --> 00:09:19,720 Speaker 1: your voice and like, how do you feel close your 179 00:09:19,760 --> 00:09:21,680 Speaker 1: eyes and she's like, no, I'm not gonna do it. 180 00:09:21,720 --> 00:09:25,240 Speaker 1: And it's like four minutes of a gross old man 181 00:09:25,320 --> 00:09:28,440 Speaker 1: trying to get this woman to orgasm into a microphone. Well, 182 00:09:28,480 --> 00:09:31,959 Speaker 1: this show was just gross misogynistic bullshit from the onset. 183 00:09:32,040 --> 00:09:33,640 Speaker 1: I think, as like a twelve year old, I was like, 184 00:09:33,640 --> 00:09:36,040 Speaker 1: whoa cool, he's using a laser pointer to point in 185 00:09:36,080 --> 00:09:38,080 Speaker 1: at like a woman's breast and be like, yeah, you 186 00:09:38,120 --> 00:09:41,040 Speaker 1: gotta fix these and you're like that right. Yeah. They 187 00:09:41,040 --> 00:09:42,400 Speaker 1: would have the people who were like, I want to 188 00:09:42,400 --> 00:09:44,240 Speaker 1: be a playmate, and they would come on it would 189 00:09:44,240 --> 00:09:47,520 Speaker 1: be like Dr salth Collabor was like the plastic surgeon, 190 00:09:47,880 --> 00:09:50,600 Speaker 1: and they would just literally grade their bodies and yeah, 191 00:09:50,600 --> 00:09:51,880 Speaker 1: this is yeah, I don't know if you're gonna play 192 00:09:51,880 --> 00:09:53,920 Speaker 1: with this whatever, blah blah blah. I mean, yeah, I 193 00:09:53,960 --> 00:09:55,840 Speaker 1: don't know if he deserves to be Like I remember 194 00:09:56,000 --> 00:09:57,599 Speaker 1: being hot to me as a kid, Like when I 195 00:09:57,640 --> 00:10:00,280 Speaker 1: would sneak off and listen to Howard Stern by my elf. 196 00:10:00,720 --> 00:10:02,800 Speaker 1: It's so strange to me just I mean, this is 197 00:10:02,840 --> 00:10:05,640 Speaker 1: just the state of the prevalence of pornography or laughter 198 00:10:05,760 --> 00:10:07,360 Speaker 1: of in the early nineties when I was a kid. 199 00:10:07,520 --> 00:10:09,840 Speaker 1: It's Howard starting me like, wow, she took off her clothes, 200 00:10:09,880 --> 00:10:11,440 Speaker 1: you have an amazing body, and I'd just be sitting 201 00:10:11,440 --> 00:10:15,680 Speaker 1: there like I believe you that sounds and one day 202 00:10:15,760 --> 00:10:18,679 Speaker 1: to see stuff. But like when I see him, like 203 00:10:19,240 --> 00:10:23,120 Speaker 1: Letterman had his Netflix show where he interviews six important 204 00:10:23,120 --> 00:10:26,520 Speaker 1: people and it's George Clooney, Barack Obama, Jay Z, Tina Fey, 205 00:10:26,600 --> 00:10:29,160 Speaker 1: and like, oh gosh, Howard Stern. I'm like, I don't 206 00:10:29,200 --> 00:10:30,800 Speaker 1: think you're in that camp, man. I don't think he 207 00:10:30,880 --> 00:10:32,760 Speaker 1: belonged there. And I don't know why he's sort of 208 00:10:32,760 --> 00:10:36,920 Speaker 1: been grandfathered in into this legendary legacy status. But yeah, 209 00:10:37,000 --> 00:10:40,480 Speaker 1: it's even like Fred Armison, who's this like, you know, 210 00:10:40,880 --> 00:10:44,760 Speaker 1: super comic guy, and like he's like, Howard Stern's my 211 00:10:44,840 --> 00:10:47,480 Speaker 1: biggest comedic influence. I'm like, what, I would be worried 212 00:10:48,160 --> 00:10:49,880 Speaker 1: if you if you list Howard Stern is one of 213 00:10:49,920 --> 00:10:52,760 Speaker 1: your comedic legends, I would look a little bit deeper. Um, 214 00:10:53,320 --> 00:10:56,680 Speaker 1: But yeah, I agree. I never listened to him growing up, 215 00:10:56,920 --> 00:11:00,240 Speaker 1: and once I started working in comedy, I fell like 216 00:11:00,320 --> 00:11:02,559 Speaker 1: I was like coming from a different planet where I 217 00:11:02,600 --> 00:11:06,000 Speaker 1: didn't refer to him as like Howard Howard Man to 218 00:11:06,040 --> 00:11:09,440 Speaker 1: Howard uh. But I also started working in comedy in 219 00:11:09,480 --> 00:11:11,640 Speaker 1: New York, and I think that's like a very New 220 00:11:11,720 --> 00:11:14,880 Speaker 1: York thing because people who lived in New York growing up, 221 00:11:15,120 --> 00:11:18,600 Speaker 1: all had that for them like the whole time. So 222 00:11:18,800 --> 00:11:21,280 Speaker 1: I don't know if it's like something that imprinted on 223 00:11:21,320 --> 00:11:24,800 Speaker 1: them early or something. It was like edgy comedy at 224 00:11:24,840 --> 00:11:26,640 Speaker 1: a young age. I think that's all. As a kid, 225 00:11:26,720 --> 00:11:29,280 Speaker 1: you see that stuff and you're like, whoa, this is like, 226 00:11:29,520 --> 00:11:31,840 Speaker 1: this is like something else. This is something that normally 227 00:11:31,880 --> 00:11:34,199 Speaker 1: I wouldn't be able to see her here. And then 228 00:11:34,200 --> 00:11:36,920 Speaker 1: once that wears off and you're like, actually, this is right. 229 00:11:37,000 --> 00:11:38,280 Speaker 1: And if that was the only thing that he was 230 00:11:38,360 --> 00:11:39,880 Speaker 1: known for, if it was just like, look, no one 231 00:11:39,920 --> 00:11:42,280 Speaker 1: at the time was doing anything as subverse as this, 232 00:11:42,520 --> 00:11:45,280 Speaker 1: then I'd be like, Okay, yeah, Probably describing boobs into 233 00:11:45,320 --> 00:11:48,920 Speaker 1: a microphone was using life changing for a lot of people. 234 00:11:49,160 --> 00:11:51,880 Speaker 1: Are having disabled people as props for your thing. You're like, oh, 235 00:11:51,920 --> 00:11:54,880 Speaker 1: this guy stutters like, oh, here's beetle juice, the weird 236 00:11:54,920 --> 00:11:58,240 Speaker 1: looking guy, and you're like, You're like, back, you do 237 00:11:58,320 --> 00:12:00,880 Speaker 1: you look like you're like, yo, this ship is fuck off. 238 00:12:01,600 --> 00:12:04,560 Speaker 1: This is not good. You can't do this. That's a 239 00:12:04,559 --> 00:12:09,360 Speaker 1: really good point. He's he probably doesn't work anymore for 240 00:12:09,440 --> 00:12:12,800 Speaker 1: a lot of reasons. What is something you think is underrated? Uh? 241 00:12:12,840 --> 00:12:14,160 Speaker 1: You tell me if this is the first time this 242 00:12:14,200 --> 00:12:16,480 Speaker 1: has happened on your podcast. The last time I was here, 243 00:12:16,520 --> 00:12:23,760 Speaker 1: I did overrated bird Scooters, Underrated bird Scooters. What happened 244 00:12:23,800 --> 00:12:26,760 Speaker 1: you've come back from. There's still two problems that I 245 00:12:26,800 --> 00:12:29,959 Speaker 1: have with it, uh, and they are it's garris. I 246 00:12:29,960 --> 00:12:31,880 Speaker 1: don't like the way that it looks in neighborhoods have 247 00:12:31,960 --> 00:12:35,920 Speaker 1: these dirty scooters strewn about everywhere. And when you say scooters, 248 00:12:35,960 --> 00:12:40,080 Speaker 1: you mean, oh, I mean the scooters Bird in Line, 249 00:12:40,120 --> 00:12:43,720 Speaker 1: these electric scooters that you can get like those city bikes. 250 00:12:43,800 --> 00:12:45,880 Speaker 1: You pay to rent these things and you get charged 251 00:12:45,920 --> 00:12:48,839 Speaker 1: by either the time or the mileage, whatever it is, 252 00:12:48,880 --> 00:12:52,040 Speaker 1: and then you their dockless, so you just dropped them morever. Uh. 253 00:12:52,160 --> 00:12:54,840 Speaker 1: So my two problems are still their garris. I don't 254 00:12:54,880 --> 00:12:57,880 Speaker 1: like the looks at them, and be I think a 255 00:12:57,920 --> 00:13:00,559 Speaker 1: lot of people this is just anecdotally, aren't being safe 256 00:13:00,559 --> 00:13:03,560 Speaker 1: when they're riding on them. But I spent more time 257 00:13:03,640 --> 00:13:06,680 Speaker 1: researching this, and and I have since I no longer 258 00:13:06,760 --> 00:13:09,360 Speaker 1: have a car, and I'm not a scooter person, but 259 00:13:09,440 --> 00:13:13,240 Speaker 1: I do bike everywhere that I go, which is forced 260 00:13:13,240 --> 00:13:15,080 Speaker 1: me to spend a lot more time thinking about like 261 00:13:15,120 --> 00:13:19,920 Speaker 1: sidewalk and street infrastructure and Um, the problem with bird 262 00:13:19,960 --> 00:13:22,600 Speaker 1: scooters right now isn't that they exist, it's how people 263 00:13:23,040 --> 00:13:26,560 Speaker 1: are using them. But if we make them prevalent enough 264 00:13:26,600 --> 00:13:28,800 Speaker 1: and like and we use them safely, then we're going 265 00:13:28,840 --> 00:13:31,920 Speaker 1: to just build better bike lanes and scooter lanes. And 266 00:13:32,400 --> 00:13:35,080 Speaker 1: the one of the biggest issues we have in in 267 00:13:35,240 --> 00:13:37,760 Speaker 1: Los Angeles is not a lot of options for people 268 00:13:37,760 --> 00:13:40,040 Speaker 1: to commute. So I'm now in a place where, like 269 00:13:40,080 --> 00:13:42,120 Speaker 1: anytime I see something that provides more options for people 270 00:13:42,160 --> 00:13:44,080 Speaker 1: to get from point A to point B, I think 271 00:13:44,080 --> 00:13:46,560 Speaker 1: it's a good thing. And I normally hate the Silicon 272 00:13:46,679 --> 00:13:49,880 Speaker 1: Valley build first and regulate it later. I think that 273 00:13:50,000 --> 00:13:53,439 Speaker 1: is like inherent all their disruptive practices. But I'm fine 274 00:13:53,440 --> 00:13:55,360 Speaker 1: with it in this case because you can already see 275 00:13:55,480 --> 00:13:57,840 Speaker 1: Santa Monica is doing a lot in terms of regulating 276 00:13:57,840 --> 00:14:00,320 Speaker 1: these things. There are places where you can't use them, 277 00:14:00,320 --> 00:14:01,319 Speaker 1: like they don't want you to use them on the 278 00:14:01,360 --> 00:14:04,199 Speaker 1: beach because they want to discourage these as a tourist 279 00:14:04,200 --> 00:14:07,600 Speaker 1: activity and encourage them as three to four mile commute 280 00:14:07,600 --> 00:14:11,520 Speaker 1: activity where you're getting from place to place, And they're 281 00:14:11,520 --> 00:14:14,960 Speaker 1: strict about the amount of scooters that are allowed in 282 00:14:15,120 --> 00:14:18,679 Speaker 1: Santa Monica and they're strict about helmets and don't ride 283 00:14:18,679 --> 00:14:21,000 Speaker 1: it on the sidewalk and you need to have a license. 284 00:14:21,040 --> 00:14:23,480 Speaker 1: And I just feel like Santa Monica is because they're 285 00:14:23,520 --> 00:14:26,120 Speaker 1: so bougie ahead of the curve a little bit in 286 00:14:26,240 --> 00:14:30,280 Speaker 1: terms of where we want all of these scooters and 287 00:14:30,280 --> 00:14:32,720 Speaker 1: regulations to go. It's a little bit nerve racking because 288 00:14:32,760 --> 00:14:35,600 Speaker 1: there are people who are trying to put an idea 289 00:14:35,760 --> 00:14:38,480 Speaker 1: forward about let's just shut them down until we can 290 00:14:38,480 --> 00:14:40,240 Speaker 1: figure out how to regulate them, Like no, no, no no, 291 00:14:40,240 --> 00:14:41,880 Speaker 1: no no, because then people are gonna forget about them, 292 00:14:41,920 --> 00:14:45,160 Speaker 1: and like, let's let's just all focus on regulating them now, 293 00:14:45,160 --> 00:14:48,320 Speaker 1: because if scooters become a part of life in Los Angeles, 294 00:14:48,480 --> 00:14:51,640 Speaker 1: then we're gonna get better streets, better bike lanes, better sidewalks, 295 00:14:52,200 --> 00:14:58,040 Speaker 1: which is good for better ingredients, better pizza. I think, yeah, 296 00:14:58,120 --> 00:15:01,080 Speaker 1: I definitely see the and if it especially for people 297 00:15:01,080 --> 00:15:04,000 Speaker 1: who commute, because it's the amount of time you save, 298 00:15:04,160 --> 00:15:06,280 Speaker 1: like actually scoot ring, Like if you normally had to 299 00:15:06,320 --> 00:15:08,200 Speaker 1: walk a mile and a half or something, that time 300 00:15:08,280 --> 00:15:10,600 Speaker 1: is cut short. I guess, I think really, to me, 301 00:15:10,640 --> 00:15:12,920 Speaker 1: the biggest thing that I don't like is just the 302 00:15:12,960 --> 00:15:16,160 Speaker 1: way they leave them around and haven't quite figured out 303 00:15:16,160 --> 00:15:18,840 Speaker 1: how to like curb that from just being there are 304 00:15:18,840 --> 00:15:21,040 Speaker 1: people who fucking just left them, like in the middle 305 00:15:21,120 --> 00:15:23,360 Speaker 1: of like a like a residential street I was driving 306 00:15:23,360 --> 00:15:25,880 Speaker 1: on and I had to drive around fucking bird scooter 307 00:15:26,000 --> 00:15:28,080 Speaker 1: or whatever. That's the thing that I found about myself 308 00:15:28,280 --> 00:15:30,160 Speaker 1: the first time I was here, complained about how they 309 00:15:30,160 --> 00:15:32,000 Speaker 1: were all over the place and leaving the sidewalk unsafe. 310 00:15:32,080 --> 00:15:35,680 Speaker 1: And then I started reading this great series from Melissa 311 00:15:35,720 --> 00:15:38,360 Speaker 1: Walker and Curbed where she points out how a lot 312 00:15:38,400 --> 00:15:41,840 Speaker 1: of people will complain about these scooters and literally no 313 00:15:41,880 --> 00:15:43,600 Speaker 1: one moved them. And I was like, oh, yeah, sho it. 314 00:15:43,680 --> 00:15:45,120 Speaker 1: I guess that's me. And now, like when I see 315 00:15:45,120 --> 00:15:46,800 Speaker 1: a scooter in the sidewalk where it shouldn't be, I 316 00:15:46,840 --> 00:15:48,440 Speaker 1: put it up on the grass where I put it 317 00:15:48,480 --> 00:15:50,800 Speaker 1: somewhere that makes sense. Fort get you a point scooter debate, 318 00:15:50,840 --> 00:15:52,280 Speaker 1: It should get me. Yeah, I'm going to make a 319 00:15:52,320 --> 00:15:54,080 Speaker 1: little bit money. That's just what I mean. You already 320 00:15:54,080 --> 00:15:56,400 Speaker 1: are by you know, lobbying for them on our show. Yes, 321 00:15:56,600 --> 00:15:58,760 Speaker 1: hopefully that will lead to better infrastructure in the city 322 00:15:58,760 --> 00:16:01,160 Speaker 1: for sure. Yeah, I think I mean I heard it 323 00:16:01,200 --> 00:16:05,600 Speaker 1: described as they solve the last mile problem of public transportations, 324 00:16:05,720 --> 00:16:09,040 Speaker 1: Like there's in cities like Los Angeles that are spread out. 325 00:16:09,160 --> 00:16:11,360 Speaker 1: You know, once you get to your subway stop, you 326 00:16:11,400 --> 00:16:14,640 Speaker 1: still have a mile to go. Walking sucks. Uh, So 327 00:16:14,760 --> 00:16:18,320 Speaker 1: they make it easier to get there, and I agree 328 00:16:18,360 --> 00:16:21,200 Speaker 1: it can be. I think one thing that is underrated 329 00:16:21,360 --> 00:16:25,000 Speaker 1: is changing your mode of transport around a place. It'll 330 00:16:25,080 --> 00:16:28,080 Speaker 1: change the way you look and feel about your town. 331 00:16:28,520 --> 00:16:32,280 Speaker 1: Like just taking the subway or the metro in Los 332 00:16:32,280 --> 00:16:35,320 Speaker 1: Angeles a couple of times made me think differently about 333 00:16:35,400 --> 00:16:38,520 Speaker 1: Los Angeles. Uh. And Like when I lived in New 334 00:16:38,600 --> 00:16:41,640 Speaker 1: York City, the way that I conceived of the city 335 00:16:41,680 --> 00:16:45,560 Speaker 1: in general was just as these little islands around subway 336 00:16:45,560 --> 00:16:48,800 Speaker 1: stops right there. And once I had a car there 337 00:16:48,880 --> 00:16:51,160 Speaker 1: and could like connect them via driving, I was like, 338 00:16:51,200 --> 00:16:53,560 Speaker 1: what the funk is going on this? I had no 339 00:16:53,640 --> 00:16:56,840 Speaker 1: idea these things were close to each other. Um, so, yeah, 340 00:16:56,880 --> 00:16:59,880 Speaker 1: I think they're worth trying out. How how are we 341 00:17:00,120 --> 00:17:02,960 Speaker 1: dealing with helmets with them, you're just supposed to wear 342 00:17:03,000 --> 00:17:05,760 Speaker 1: a helmet, You're you're just supposed to carry a helmet around. Yeah, 343 00:17:05,760 --> 00:17:09,280 Speaker 1: the law requires you to have a helmet and a 344 00:17:09,400 --> 00:17:12,879 Speaker 1: driver's license and to ride them on the street and anecdotally, 345 00:17:12,920 --> 00:17:15,040 Speaker 1: you could see that almost no one that is not 346 00:17:15,160 --> 00:17:18,520 Speaker 1: happening in my neighborhood. I think there's one organization I'm 347 00:17:18,560 --> 00:17:21,120 Speaker 1: not sure which. If you get their scooters, they will 348 00:17:21,119 --> 00:17:23,639 Speaker 1: give you a free helmet. It's Bird Bird does that? 349 00:17:23,800 --> 00:17:26,040 Speaker 1: Well there you go. Uh finally, what is a myth? 350 00:17:26,119 --> 00:17:28,159 Speaker 1: With's something people think is true that you know to 351 00:17:28,280 --> 00:17:31,439 Speaker 1: be false, that the Olympics are good. I didn't even 352 00:17:31,480 --> 00:17:33,880 Speaker 1: realize until right now, how l A centric that all 353 00:17:33,920 --> 00:17:36,679 Speaker 1: this stuff is going to be alienating l A and 354 00:17:36,800 --> 00:17:41,679 Speaker 1: magician centric. We have the Olympics coming to Los Angeles 355 00:17:41,720 --> 00:17:45,080 Speaker 1: in two thousand and as much as there's a really 356 00:17:45,119 --> 00:17:47,439 Speaker 1: great argument to be had that places like Los Angeles 357 00:17:47,480 --> 00:17:50,440 Speaker 1: just infrastructurally are one of the only places that can 358 00:17:50,480 --> 00:17:53,640 Speaker 1: handle an Olympics. Like there's a lot of talk about 359 00:17:53,720 --> 00:17:58,199 Speaker 1: how if some random place gets the Olympics, they get 360 00:17:58,240 --> 00:17:59,840 Speaker 1: a lot of money up front, and then it end 361 00:17:59,920 --> 00:18:03,040 Speaker 1: up destroying their city long term. It just takes a 362 00:18:03,040 --> 00:18:04,520 Speaker 1: lot of time to recover because they build up all 363 00:18:04,520 --> 00:18:06,200 Speaker 1: the stuff they don't need. L A is one of 364 00:18:06,240 --> 00:18:08,320 Speaker 1: the few places on the planet that has a lot 365 00:18:08,359 --> 00:18:11,920 Speaker 1: of this stuff already and won't need to build too much. Uh. So, 366 00:18:12,040 --> 00:18:13,280 Speaker 1: on the one hand, it's a good thing that it's 367 00:18:13,280 --> 00:18:15,720 Speaker 1: coming to l A. On the other hand, it's just 368 00:18:15,880 --> 00:18:20,560 Speaker 1: going to speed up gentrification. And we can already see 369 00:18:20,560 --> 00:18:25,880 Speaker 1: that they're squeezing in new laws to outlaw homelessness, which 370 00:18:25,920 --> 00:18:29,320 Speaker 1: is a huge problem in this city. Are already and like, 371 00:18:29,359 --> 00:18:32,359 Speaker 1: I don't know where we're gonna put all these people 372 00:18:32,359 --> 00:18:34,720 Speaker 1: that we already don't have enough housing for. But it's 373 00:18:35,040 --> 00:18:37,760 Speaker 1: our our dumb mayor who wants to be fucking president. 374 00:18:37,800 --> 00:18:39,160 Speaker 1: One day. It was so important to him to get 375 00:18:39,160 --> 00:18:42,480 Speaker 1: an Olympics and then leave before it happened, So it 376 00:18:42,480 --> 00:18:44,040 Speaker 1: doesn't matter. He's gonna be able to say I brought 377 00:18:44,119 --> 00:18:47,960 Speaker 1: Olympics to Los Angeles and uh, mysteriously got rid of 378 00:18:47,960 --> 00:18:50,200 Speaker 1: a bunch of homeless people. So that's why you should 379 00:18:50,200 --> 00:18:53,119 Speaker 1: make me president. Yeah. It's never we're gonna build up 380 00:18:53,160 --> 00:18:57,000 Speaker 1: their infrastructure for like, uh, you know, a great new 381 00:18:57,040 --> 00:18:59,760 Speaker 1: subway system. It's always we're going to tear down these 382 00:19:00,119 --> 00:19:03,520 Speaker 1: or neighborhoods and put a fucking genants soccer stadium in 383 00:19:03,520 --> 00:19:05,480 Speaker 1: the middle of it or whatever. I mean, there's a 384 00:19:05,480 --> 00:19:09,680 Speaker 1: whole no Olympics platform, a group of people in that 385 00:19:09,720 --> 00:19:11,720 Speaker 1: movement and yeah, Like it's true, like we have a 386 00:19:11,760 --> 00:19:14,440 Speaker 1: housing crisis. It would be one thing if they suggested 387 00:19:14,520 --> 00:19:16,360 Speaker 1: like a version of doing the Olympics that address those 388 00:19:16,359 --> 00:19:18,199 Speaker 1: problems first and be like, yes, we get what the 389 00:19:18,240 --> 00:19:21,000 Speaker 1: Olympics need to do. Let's let's first address those problems 390 00:19:21,040 --> 00:19:23,119 Speaker 1: and then maybe we can talk about having Olympics. But 391 00:19:23,160 --> 00:19:25,680 Speaker 1: it's like, no, it's gonna be great for businesses and uh, 392 00:19:25,880 --> 00:19:27,640 Speaker 1: you know, we'll just kick people out and push them 393 00:19:27,640 --> 00:19:30,560 Speaker 1: further out. So there was a there's like a PR 394 00:19:30,960 --> 00:19:33,600 Speaker 1: team that is like trying to win a bid or 395 00:19:33,640 --> 00:19:36,320 Speaker 1: like maybe the city is looking for different PR teams. 396 00:19:36,359 --> 00:19:38,040 Speaker 1: But the problem of trying to solve is how do 397 00:19:38,080 --> 00:19:41,280 Speaker 1: we get people who are visiting l A for the Olympics, Uh, 398 00:19:41,359 --> 00:19:44,439 Speaker 1: comfortable around homeless people in downtown? Like how do we 399 00:19:44,480 --> 00:19:46,760 Speaker 1: sell people on this? Which I guess is better than 400 00:19:46,800 --> 00:19:49,360 Speaker 1: like we're just gonna get rid of them, but it's 401 00:19:49,359 --> 00:19:51,320 Speaker 1: still like this is a strange thing to be thinking about. 402 00:19:51,359 --> 00:19:53,199 Speaker 1: It's like, well, maybe we can dress them up as 403 00:19:53,320 --> 00:19:56,560 Speaker 1: mascot and then that'll be better than how do we 404 00:19:56,640 --> 00:20:00,480 Speaker 1: feed the homeless people to the tourists? But it's not 405 00:20:01,080 --> 00:20:03,840 Speaker 1: it's not the ideal situation when you just help these 406 00:20:03,880 --> 00:20:05,800 Speaker 1: people get the help they need, or at least the 407 00:20:05,800 --> 00:20:07,680 Speaker 1: stability to be in work, because a lot of people 408 00:20:07,720 --> 00:20:10,520 Speaker 1: can work or can take them, but being homeless can 409 00:20:10,600 --> 00:20:12,600 Speaker 1: just restrict you from doing all those things like have 410 00:20:12,680 --> 00:20:15,200 Speaker 1: an address that you can tell people to send your 411 00:20:15,240 --> 00:20:17,359 Speaker 1: mail to, or these other things that you know that 412 00:20:17,400 --> 00:20:19,800 Speaker 1: they just sort of the knock on effect. Just once 413 00:20:19,840 --> 00:20:21,600 Speaker 1: the momentum it's going, it's very hard to get out of. 414 00:20:21,880 --> 00:20:25,040 Speaker 1: It's it's tough because there are our most vulnerable citizens 415 00:20:25,080 --> 00:20:26,720 Speaker 1: and we're doing the least to protect them, and the 416 00:20:26,720 --> 00:20:30,640 Speaker 1: Olympics is gonna set that back even further. Right. It's 417 00:20:30,800 --> 00:20:34,800 Speaker 1: very American to you know, send all the resources to 418 00:20:35,000 --> 00:20:38,280 Speaker 1: the richest people. And it's also what the Olympics does 419 00:20:38,400 --> 00:20:41,159 Speaker 1: in all countries. So like those two things coming together, 420 00:20:41,480 --> 00:20:46,560 Speaker 1: we're gonna all live in like Elysium pretty soon. I think, uh, yeah, 421 00:20:46,320 --> 00:20:50,560 Speaker 1: I've heard the idea thrown around to just find one 422 00:20:50,640 --> 00:20:53,920 Speaker 1: location and just place the Olympics there for good, And 423 00:20:54,160 --> 00:20:57,399 Speaker 1: I feel like that could be a cool solution because 424 00:20:57,800 --> 00:21:00,200 Speaker 1: you wouldn't funk with all these cities and just uped 425 00:21:00,240 --> 00:21:04,440 Speaker 1: all these actual lives, uh and you know, it would 426 00:21:04,440 --> 00:21:09,040 Speaker 1: give different corporations like the ability to like you know, 427 00:21:09,160 --> 00:21:11,639 Speaker 1: build out new technologies and ship because that is like 428 00:21:11,680 --> 00:21:14,479 Speaker 1: one of the cool things about the Olympics is they do, 429 00:21:14,760 --> 00:21:18,199 Speaker 1: you know, show the capabilities of new technologies. It's just 430 00:21:18,280 --> 00:21:21,800 Speaker 1: that a lot of the time now they're being used 431 00:21:21,960 --> 00:21:28,440 Speaker 1: to create like the most futuristic police state possible. So yeah, great, 432 00:21:29,320 --> 00:21:32,119 Speaker 1: great search history over under in myth Daniel. Yeah, I 433 00:21:32,160 --> 00:21:34,120 Speaker 1: feel good about this and now I can just sort 434 00:21:34,119 --> 00:21:38,920 Speaker 1: of check out. Um, so I wanted to talk about 435 00:21:39,160 --> 00:21:43,720 Speaker 1: I was listening to a podcast interviewing uh, this brilliant 436 00:21:43,760 --> 00:21:47,280 Speaker 1: woman who I hadn't heard of before Today's saying up 437 00:21:47,320 --> 00:21:52,320 Speaker 1: too fetchy, and she was talking about how inadequate our 438 00:21:52,480 --> 00:21:57,480 Speaker 1: language and touchstones are for sort of the new reality 439 00:21:57,520 --> 00:22:00,760 Speaker 1: that we live in. Like the novel War gets brought 440 00:22:00,840 --> 00:22:03,520 Speaker 1: up a lot, but we don't live in a reality 441 00:22:03,520 --> 00:22:07,680 Speaker 1: where that applies, or you know, we don't have like 442 00:22:07,720 --> 00:22:12,440 Speaker 1: a single source that is like cramming this single mediated 443 00:22:12,480 --> 00:22:15,520 Speaker 1: message down our throat. We live in a world where, uh, 444 00:22:15,560 --> 00:22:18,640 Speaker 1: it's just you know, the most interesting, saddest, most shocking, 445 00:22:18,680 --> 00:22:23,080 Speaker 1: most surprising things are the ones that get thrown in 446 00:22:23,119 --> 00:22:29,720 Speaker 1: our face. Um. And there's by like basically we choose 447 00:22:29,920 --> 00:22:34,240 Speaker 1: to do that. Um. There's also a article from a 448 00:22:34,359 --> 00:22:39,479 Speaker 1: guy named Jason Pargin on a site called cracked uh, 449 00:22:39,920 --> 00:22:45,400 Speaker 1: where he wrote about how Netflix he compared the thumbnails 450 00:22:45,480 --> 00:22:49,800 Speaker 1: that Netflix was giving him for you know, various shows 451 00:22:49,840 --> 00:22:53,520 Speaker 1: to the ones in his wife's account, and it's pretty 452 00:22:53,520 --> 00:22:57,280 Speaker 1: funny how different they are. And clearly Netflix thinks he 453 00:22:57,520 --> 00:23:01,640 Speaker 1: is a serial killer because it's like lots of pictures 454 00:23:01,640 --> 00:23:05,680 Speaker 1: of scantily clad women uh in danger. It seems like, 455 00:23:06,200 --> 00:23:09,960 Speaker 1: um alright. Because Netflix depends depending on your viewing habits, 456 00:23:10,000 --> 00:23:12,840 Speaker 1: they'll alter whatever the actual thumbnail is for each thing, 457 00:23:12,920 --> 00:23:15,320 Speaker 1: so like for one show for friends, you might see 458 00:23:15,320 --> 00:23:18,159 Speaker 1: a different character than another person. I was talking. I 459 00:23:18,200 --> 00:23:21,920 Speaker 1: was talking about how their movie that they made, the 460 00:23:22,000 --> 00:23:23,960 Speaker 1: rom com I think it's called like The Fix Up 461 00:23:24,040 --> 00:23:26,399 Speaker 1: or something, had the thumbnail with Pete Davidson even though 462 00:23:26,400 --> 00:23:28,640 Speaker 1: he's a minor character, and one of the zike getting 463 00:23:28,680 --> 00:23:32,160 Speaker 1: pointed out, actually that's just you who's a Pete Davidson fan. 464 00:23:32,280 --> 00:23:35,200 Speaker 1: That they were like this guy. Uh, and now all 465 00:23:35,240 --> 00:23:37,920 Speaker 1: of my thumbnails are Pete Davidson faces. Somehow, I think 466 00:23:37,920 --> 00:23:40,520 Speaker 1: I tried to make myself algorithm proof because I'm scared 467 00:23:40,560 --> 00:23:44,080 Speaker 1: of data in general. So the Netflix account that I have, uh, 468 00:23:44,280 --> 00:23:47,240 Speaker 1: it's my account, but also my parents use it, my 469 00:23:47,280 --> 00:23:49,960 Speaker 1: brother uses it, his kids use it, my former sister 470 00:23:50,000 --> 00:23:53,000 Speaker 1: in law uses it. And there's only one name attached 471 00:23:53,040 --> 00:23:55,640 Speaker 1: to so we all browses one person, and so it's 472 00:23:55,640 --> 00:23:59,040 Speaker 1: a sometime in high Sometimes it's annoying because they're like, hey, 473 00:23:59,320 --> 00:24:02,600 Speaker 1: do you want to watch a Boss Baby again? I don't. 474 00:24:03,080 --> 00:24:05,520 Speaker 1: You're like, all right, one more time. And I mean 475 00:24:05,560 --> 00:24:08,119 Speaker 1: the boobs thing seems like silly and basic, but we 476 00:24:08,200 --> 00:24:10,720 Speaker 1: do have like a whole group of people who think 477 00:24:10,760 --> 00:24:14,639 Speaker 1: they deserve sex from attractive women, like the in cell community, 478 00:24:14,920 --> 00:24:18,880 Speaker 1: and you know, they have sexy attractive women looking at 479 00:24:18,920 --> 00:24:22,600 Speaker 1: them longingly from images all day every day. It's more 480 00:24:22,680 --> 00:24:26,479 Speaker 1: like black mirror. I guess, um, But I think this 481 00:24:26,520 --> 00:24:28,840 Speaker 1: ties into Alex Jones because the thing you're seeing all 482 00:24:28,880 --> 00:24:32,399 Speaker 1: over the right wing media right now is people saying, 483 00:24:32,440 --> 00:24:36,080 Speaker 1: like the shutting down of Alex Jones is censorship, taking 484 00:24:36,119 --> 00:24:39,880 Speaker 1: Alex Jones off all these platforms, and you know, we're 485 00:24:39,880 --> 00:24:43,760 Speaker 1: all living in these realities that are mediated by algorithms. 486 00:24:43,800 --> 00:24:47,040 Speaker 1: There's like the three degrees of Alex Jones joke on 487 00:24:47,080 --> 00:24:50,920 Speaker 1: YouTube that any interest you start out with you're always 488 00:24:51,000 --> 00:24:54,119 Speaker 1: just three videos away from YouTube suggesting and Alex Jones 489 00:24:54,240 --> 00:24:57,520 Speaker 1: video to you or you were Um. So it's almost 490 00:24:57,560 --> 00:25:02,960 Speaker 1: like there's a new form of thought control that's not restrictive, 491 00:25:03,040 --> 00:25:06,440 Speaker 1: but like sort of just kind of bombards your attention, 492 00:25:06,560 --> 00:25:10,960 Speaker 1: like spends all your attention on versions of the message 493 00:25:11,400 --> 00:25:15,760 Speaker 1: that you know, like our greatest philosopher, Kim Kardashian said, 494 00:25:15,880 --> 00:25:19,960 Speaker 1: interesting to look at. So uh, yeah, I don't know. 495 00:25:20,000 --> 00:25:22,720 Speaker 1: He also got kicked off of you porn, so right, 496 00:25:22,880 --> 00:25:25,040 Speaker 1: and that's the latest stuff they banned from you porn 497 00:25:25,119 --> 00:25:31,840 Speaker 1: and Pinterest. So guys, I mean on Twitter, Twitter, uh, 498 00:25:31,920 --> 00:25:34,560 Speaker 1: and some Facebook pages. There's some infore stuff on there, 499 00:25:34,600 --> 00:25:36,960 Speaker 1: but yeah, but Pinterest was where the money was. Yeah, 500 00:25:37,000 --> 00:25:41,040 Speaker 1: it really was. I mean, when you're selling those neutra suticals. Um. 501 00:25:41,119 --> 00:25:44,320 Speaker 1: But yeah. She was talking about how like it's uh 502 00:25:44,440 --> 00:25:47,560 Speaker 1: with Russia in the two thousand and sixteen election, a 503 00:25:47,560 --> 00:25:49,880 Speaker 1: lot of people are thinking about Russians as like these 504 00:25:49,920 --> 00:25:52,840 Speaker 1: experts who are smart and knowledgeable about Americans, and she 505 00:25:52,880 --> 00:25:57,040 Speaker 1: said they actually started out focusing on California and Texas secession. 506 00:25:57,800 --> 00:25:59,479 Speaker 1: That was like the thing they thought they were going 507 00:25:59,520 --> 00:26:02,560 Speaker 1: to get him Erica to break apart around because that's 508 00:26:02,560 --> 00:26:04,080 Speaker 1: the sort of thing that happens in there part of 509 00:26:04,119 --> 00:26:06,360 Speaker 1: the world with like PRIMEA and like ship like that, 510 00:26:06,680 --> 00:26:10,239 Speaker 1: and just you know, they saw, based on you know, 511 00:26:10,359 --> 00:26:14,560 Speaker 1: just straightforward analytics, that fake stories about Hillary Clinton got 512 00:26:14,600 --> 00:26:17,360 Speaker 1: a lot more attention, and so that's what they used instead. 513 00:26:17,720 --> 00:26:19,280 Speaker 1: So I think they might not have realized that we 514 00:26:19,280 --> 00:26:22,960 Speaker 1: already have some dumb fucking third generation Silicon Valley billionaire 515 00:26:22,960 --> 00:26:25,760 Speaker 1: who's been trying to buy California into three different states, 516 00:26:25,960 --> 00:26:27,600 Speaker 1: right and he I think he's getting the help of 517 00:26:27,760 --> 00:26:32,520 Speaker 1: the Russians. Russians, and they just everyone was like they 518 00:26:32,560 --> 00:26:35,960 Speaker 1: get this ship off the ballot. Alright, sorry, try again 519 00:26:35,960 --> 00:26:41,000 Speaker 1: in a four more years. We'll be back. Anyways. I 520 00:26:41,000 --> 00:26:43,159 Speaker 1: wanted to bring this up, Dan because I expect you 521 00:26:43,200 --> 00:26:46,560 Speaker 1: to create our new vocabulary around all this ship. So 522 00:26:47,200 --> 00:26:51,000 Speaker 1: get to work, okay, cool after the break, yeah, said 523 00:26:51,080 --> 00:26:52,960 Speaker 1: us with some new words. All right, we'll be right back. 524 00:27:03,240 --> 00:27:06,600 Speaker 1: And we're back. And so, Miles, what's going on the pump? 525 00:27:06,880 --> 00:27:09,040 Speaker 1: I mean not much. You know, we all know Paul 526 00:27:09,119 --> 00:27:14,480 Speaker 1: Manafort is so guilty. Yeah, and you know, this is 527 00:27:14,880 --> 00:27:18,880 Speaker 1: what they all the lawyers call a documents case because 528 00:27:18,880 --> 00:27:20,120 Speaker 1: a lot of it has to do with a lot 529 00:27:20,119 --> 00:27:23,360 Speaker 1: of his fraudulent claims about his income and defrauding banks 530 00:27:23,400 --> 00:27:26,840 Speaker 1: and lying about his money and money laundering, etcetera, etcetera. 531 00:27:27,119 --> 00:27:29,720 Speaker 1: So there is clearly a mountain of evidence up against him, 532 00:27:29,720 --> 00:27:31,680 Speaker 1: but they just need a few witnesses just come through 533 00:27:31,720 --> 00:27:34,399 Speaker 1: and be like, yes, that it is what it looks like. 534 00:27:34,480 --> 00:27:37,240 Speaker 1: So yes. Cut to Rick Gates, who was Palm Manaforts 535 00:27:37,280 --> 00:27:40,720 Speaker 1: protege and his like right hand man when Paul Manafort 536 00:27:40,760 --> 00:27:43,280 Speaker 1: was running the Trump campaign and even stayed after Paul 537 00:27:43,280 --> 00:27:46,400 Speaker 1: Manafort left. Was a big figure on the Trump campaign. 538 00:27:46,400 --> 00:27:48,080 Speaker 1: He's the number two, and then I think took over 539 00:27:48,119 --> 00:27:52,000 Speaker 1: the Inauguration committee after after that. Um So, he took 540 00:27:52,000 --> 00:27:55,800 Speaker 1: the stand yesterday in the trial, and it essentially just 541 00:27:55,840 --> 00:27:58,280 Speaker 1: boiled down to this him going up on the stand 542 00:27:58,359 --> 00:28:01,240 Speaker 1: just saying, yes, Paul man of or and I committed crimes, 543 00:28:01,320 --> 00:28:04,119 Speaker 1: and I also helped him commit crimes, and also I 544 00:28:04,200 --> 00:28:06,719 Speaker 1: used to steal money from him. It was so refreshingly 545 00:28:06,720 --> 00:28:09,400 Speaker 1: plain spoken the way that didn't expect, like reading over transcripts, 546 00:28:09,400 --> 00:28:11,800 Speaker 1: you always assume someone be like, well, crimes are very 547 00:28:11,840 --> 00:28:14,879 Speaker 1: it's it's all encompassing. At the time, what I was 548 00:28:14,880 --> 00:28:16,719 Speaker 1: doing this. Guy was like, oh yeah, I woke up 549 00:28:16,720 --> 00:28:18,679 Speaker 1: and I looked at my schedule and it said crimes 550 00:28:18,680 --> 00:28:21,520 Speaker 1: with Paul, and then I did crimes with Paul and 551 00:28:21,560 --> 00:28:25,200 Speaker 1: then more criming at five Like yeah, because I mean, 552 00:28:25,240 --> 00:28:27,880 Speaker 1: as I've said on the show earlier, to like that. 553 00:28:28,160 --> 00:28:31,520 Speaker 1: They're like, there's there's plain email threads back to each 554 00:28:31,520 --> 00:28:34,800 Speaker 1: other where he's like, help me doctor this like PDF. 555 00:28:34,840 --> 00:28:36,399 Speaker 1: I can't do it in word and I need to 556 00:28:36,400 --> 00:28:38,320 Speaker 1: make it look like I make more money. And then 557 00:28:38,320 --> 00:28:40,400 Speaker 1: he sends it back and then Paul Manafort literally like 558 00:28:40,720 --> 00:28:42,760 Speaker 1: can you make this a PDF for me? The bank 559 00:28:42,840 --> 00:28:44,720 Speaker 1: needs it as a p and like it's just all there, 560 00:28:45,080 --> 00:28:48,080 Speaker 1: just like you know, so well, I've got you. Hotmail 561 00:28:48,200 --> 00:28:50,960 Speaker 1: is different right now. He's the way I like, and 562 00:28:51,080 --> 00:28:53,040 Speaker 1: I changed the picture that come. Why does my last 563 00:28:53,120 --> 00:28:55,200 Speaker 1: name come up before my first name? I don't like that. 564 00:28:55,960 --> 00:28:58,720 Speaker 1: So yeah, it was very easy time. And I guess 565 00:28:58,720 --> 00:29:00,440 Speaker 1: you know when you think about why it was clean 566 00:29:00,480 --> 00:29:02,920 Speaker 1: in terms of him when the prosecution was talking to 567 00:29:03,000 --> 00:29:06,680 Speaker 1: him or what do you call that? Uh that they 568 00:29:06,720 --> 00:29:10,280 Speaker 1: were a cross examining, a cross examining, thank you h that. Yeah, 569 00:29:10,320 --> 00:29:12,120 Speaker 1: he was just up there because he's he's got a 570 00:29:12,120 --> 00:29:15,040 Speaker 1: plea deal with Paul with Robert Mueller. Uh And it's 571 00:29:15,120 --> 00:29:17,240 Speaker 1: essentially you know, he's looking he was looking at ten 572 00:29:17,360 --> 00:29:21,200 Speaker 1: years for lying to the FBI and conspiracy against the 573 00:29:21,240 --> 00:29:24,400 Speaker 1: United States. Probably not a good thing you wanted your record. Uh. 574 00:29:24,400 --> 00:29:26,560 Speaker 1: And because he's cooperating, I think they're knocking it down. 575 00:29:26,840 --> 00:29:29,320 Speaker 1: But yeah, it's clear that he's just like, yes, whatever 576 00:29:29,360 --> 00:29:31,160 Speaker 1: you need so I don't have to go to jail 577 00:29:31,200 --> 00:29:34,280 Speaker 1: for ten years, I will tell you. Because the evidence 578 00:29:34,280 --> 00:29:36,600 Speaker 1: is so damning, they really allow them to bring out 579 00:29:36,640 --> 00:29:39,520 Speaker 1: like the c squad of lawyers come now, did you 580 00:29:39,560 --> 00:29:43,200 Speaker 1: do crimes? Yes? For the question. Yeah, it was like 581 00:29:43,200 --> 00:29:45,400 Speaker 1: it was almost like that. Uh. And you know, good 582 00:29:45,440 --> 00:29:49,280 Speaker 1: luck to Paul Manafort's defense team because I mean, you know, 583 00:29:49,400 --> 00:29:52,000 Speaker 1: there's a chance that maybe the jury could be convinced 584 00:29:52,000 --> 00:29:54,880 Speaker 1: that Rick Gates isn't reliable because he's also a criminal. 585 00:29:54,960 --> 00:29:57,040 Speaker 1: But I mean, like most cases where you have someone 586 00:29:57,080 --> 00:29:58,640 Speaker 1: snitch on the other person, you have to kind of 587 00:29:58,640 --> 00:30:01,760 Speaker 1: be like, well, he's pretty credible, like why he's doing it? 588 00:30:02,280 --> 00:30:04,280 Speaker 1: But yeah, I mean even if a lot of a 589 00:30:04,280 --> 00:30:07,080 Speaker 1: lot of pundits are saying like even if uh, Rick 590 00:30:07,120 --> 00:30:10,400 Speaker 1: Gates didn't take the stand. The fucking documents are just 591 00:30:10,520 --> 00:30:13,440 Speaker 1: all they're already so it's it's it was more just 592 00:30:13,520 --> 00:30:16,080 Speaker 1: for them to like really underline and underscore, like yeah, 593 00:30:16,160 --> 00:30:18,520 Speaker 1: these guys there, this is what they did. And again, 594 00:30:18,560 --> 00:30:20,400 Speaker 1: this is the guy who was in charge of the 595 00:30:20,440 --> 00:30:23,880 Speaker 1: inaugural committee for the president. He would he played a 596 00:30:23,880 --> 00:30:27,680 Speaker 1: big role. Like whether you believe that he uh anything 597 00:30:27,720 --> 00:30:30,400 Speaker 1: he says about Manafort, He's like, I do crimes. I 598 00:30:30,440 --> 00:30:33,680 Speaker 1: steal from every everyone, from my own body the worst. 599 00:30:34,120 --> 00:30:38,520 Speaker 1: I am bad um and people. Yeah, it's it's amazing 600 00:30:38,560 --> 00:30:40,520 Speaker 1: how far we've come in terms of like what we're 601 00:30:40,560 --> 00:30:42,920 Speaker 1: used to him, what we're just like dismissing, like this 602 00:30:43,160 --> 00:30:47,720 Speaker 1: is a you know, just weak, defining news story in 603 00:30:47,880 --> 00:30:52,040 Speaker 1: any other time, any other administration. The first Trump campaign 604 00:30:52,040 --> 00:30:56,560 Speaker 1: official who has in court admitted to committing crimes. We 605 00:30:57,280 --> 00:30:59,520 Speaker 1: you know, used to talk about like, wow, what if 606 00:30:59,600 --> 00:31:02,600 Speaker 1: this thing goes as deep as like water Gate? What 607 00:31:02,680 --> 00:31:06,719 Speaker 1: if this is our water Gate? This is like Watergate 608 00:31:06,920 --> 00:31:11,320 Speaker 1: is nothing compared to this guy, Morton Halperin, who was 609 00:31:11,360 --> 00:31:13,760 Speaker 1: like he was on Nixon's enemies list and he was 610 00:31:13,800 --> 00:31:16,560 Speaker 1: a you know, he helped write the Pentagon papers and 611 00:31:16,600 --> 00:31:20,800 Speaker 1: then served on Nixon's National Security Council staff and you know, 612 00:31:21,240 --> 00:31:24,800 Speaker 1: actually criticized him. He was like one of Nixon's like 613 00:31:24,960 --> 00:31:28,920 Speaker 1: Mueller's basically, And the New Yorker interviewed him and was like, so, 614 00:31:29,240 --> 00:31:31,920 Speaker 1: how do you think like this compares to Watergate? And 615 00:31:31,960 --> 00:31:34,560 Speaker 1: he was just immediately like, oh, Trump's way worse. He's 616 00:31:34,600 --> 00:31:37,080 Speaker 1: far worse than Nixon, certainly as a threat to the country, 617 00:31:37,080 --> 00:31:39,560 Speaker 1: which like you would totally expect him to be like, 618 00:31:39,800 --> 00:31:43,600 Speaker 1: you know, I stopped the worst person, but he's just like, no, 619 00:31:44,400 --> 00:31:47,800 Speaker 1: we do not hold a fucking ship. Yeah. Yeah. So 620 00:31:47,840 --> 00:31:50,360 Speaker 1: also I think, just for a timing perspective, because John 621 00:31:50,400 --> 00:31:54,640 Speaker 1: Lovett tweeted this this morning, if the Trump presidency is 622 00:31:54,640 --> 00:31:57,680 Speaker 1: a marathon, we have just passed mile ten. That's where 623 00:31:57,680 --> 00:32:01,240 Speaker 1: we're at. And Jack and I we've with run marathons. Yes, 624 00:32:01,680 --> 00:32:03,920 Speaker 1: we know there's quite a bit more after that, twenty 625 00:32:03,960 --> 00:32:08,080 Speaker 1: six point two miles. Uh, the last six miles are like, 626 00:32:08,280 --> 00:32:10,760 Speaker 1: you know, that's twenty miles. Yes, they really say that 627 00:32:11,000 --> 00:32:14,040 Speaker 1: in your brain the first twenty miles are only the 628 00:32:14,040 --> 00:32:17,880 Speaker 1: halfway point. Yeah. As as a fellow marathon or Daniel, 629 00:32:18,000 --> 00:32:22,239 Speaker 1: you would you would get that. I agree with that. Uh, 630 00:32:22,640 --> 00:32:24,920 Speaker 1: what was the marathon. Technically the distance between the town 631 00:32:24,920 --> 00:32:27,440 Speaker 1: of Marathon and like Athens, or isn't that why the 632 00:32:27,520 --> 00:32:29,760 Speaker 1: distance is twenty six point something like that. It was 633 00:32:29,800 --> 00:32:31,800 Speaker 1: something comes to mythology. Well, we don't only need to flex. 634 00:32:31,880 --> 00:32:35,320 Speaker 1: I was feeling good about my marathon. Dumb and small 635 00:32:35,360 --> 00:32:37,480 Speaker 1: because people always have those thirteen point one or twenty 636 00:32:37,520 --> 00:32:39,480 Speaker 1: six point two bumper stickers. I'm like the twenty six 637 00:32:39,480 --> 00:32:42,240 Speaker 1: point two so specific, like like when people like, yeah, 638 00:32:42,240 --> 00:32:44,200 Speaker 1: ire in a ten k or twenty five k or whatever, 639 00:32:44,320 --> 00:32:50,160 Speaker 1: like jerks t K Jack. We're driving and you see 640 00:32:50,160 --> 00:32:52,080 Speaker 1: someone with a thirteen point one sticker to you like 641 00:32:52,160 --> 00:32:54,680 Speaker 1: ram them a little bit all the time. Well, I 642 00:32:54,760 --> 00:32:58,200 Speaker 1: just feel entitled to cut them off because they're less 643 00:32:58,200 --> 00:33:01,240 Speaker 1: than me, right, They clearly don't want it this bad um. Hey, 644 00:33:01,280 --> 00:33:06,400 Speaker 1: speaking of numbers, transition hard pivot in the paint, there 645 00:33:06,440 --> 00:33:09,400 Speaker 1: is a Georgia precinct with a total of two hundred 646 00:33:09,440 --> 00:33:13,360 Speaker 1: and seventy six voters, and apparently six hundred and seventy 647 00:33:13,440 --> 00:33:16,840 Speaker 1: votes were cast in that precinct. A lot of go 648 00:33:16,960 --> 00:33:19,840 Speaker 1: getters there, and that was in the primaries in May. 649 00:33:20,520 --> 00:33:23,400 Speaker 1: It was a real head scratcher because yeah, like you 650 00:33:23,480 --> 00:33:26,320 Speaker 1: say in mud Creek. They're only two hundred seventy six 651 00:33:26,360 --> 00:33:30,800 Speaker 1: registered voters. Uh so that's about a two turnout. That's 652 00:33:30,840 --> 00:33:33,240 Speaker 1: pretty good. I mean, you know, the Democrats need that 653 00:33:33,320 --> 00:33:36,360 Speaker 1: kind of turnout absolutely at Russia, please help us. So 654 00:33:36,400 --> 00:33:40,040 Speaker 1: this is just further evidence that the Republicans are right 655 00:33:40,120 --> 00:33:42,160 Speaker 1: and that voter fraud is a big deal. These were 656 00:33:42,200 --> 00:33:46,239 Speaker 1: probably all illegals. Democrats chipped in. It was actually when 657 00:33:46,280 --> 00:33:48,080 Speaker 1: they when they looked down, it was all isis and 658 00:33:48,200 --> 00:33:51,719 Speaker 1: ms R teen voters. So yeah, and they wrote in 659 00:33:51,920 --> 00:33:56,160 Speaker 1: ms A lot of the residents of mud Creek were 660 00:33:56,160 --> 00:33:57,720 Speaker 1: like is it just me? Or there were like four 661 00:33:57,800 --> 00:34:01,600 Speaker 1: hundred new people here getting that bus. They're like, isn't that? 662 00:34:01,840 --> 00:34:04,280 Speaker 1: Isn't that Bills cousin that They're like, no with the 663 00:34:04,320 --> 00:34:08,560 Speaker 1: tear drop tattoo. But yeah, so again we're like, wait, 664 00:34:08,560 --> 00:34:10,640 Speaker 1: hold on, how the funk does this happen? And but 665 00:34:10,680 --> 00:34:12,839 Speaker 1: the thing is, Georgia is one of four states that 666 00:34:12,960 --> 00:34:17,160 Speaker 1: uses these voting machines uh statewide that produced no paper record, 667 00:34:17,600 --> 00:34:20,080 Speaker 1: so the voter cannot verify what they're like, how the 668 00:34:20,160 --> 00:34:23,160 Speaker 1: vote wasn't put or actually put into the machine. And 669 00:34:23,280 --> 00:34:25,840 Speaker 1: it's very difficult to audit because you just have to 670 00:34:25,880 --> 00:34:28,600 Speaker 1: go off whatever the information is coming digitally off of 671 00:34:28,600 --> 00:34:33,360 Speaker 1: the voter machine, and cybersecurity experts have like said repeatedly 672 00:34:33,840 --> 00:34:36,479 Speaker 1: that these voter systems were vulnerable enough for a person 673 00:34:36,600 --> 00:34:39,719 Speaker 1: just access voter data and even manipulate the data if 674 00:34:39,719 --> 00:34:42,239 Speaker 1: they wanted to, and so it just leads to like 675 00:34:42,320 --> 00:34:46,719 Speaker 1: all kinds of wild confusion that can essentially like lead 676 00:34:46,760 --> 00:34:49,120 Speaker 1: to just negating someone's vote completely or they're like they're 677 00:34:49,200 --> 00:34:52,080 Speaker 1: unable to vote because there's like the directions are so 678 00:34:52,160 --> 00:34:54,279 Speaker 1: crummy that they're told by the website to be at 679 00:34:54,320 --> 00:34:56,400 Speaker 1: one precinct and then they show up and they're like, no, 680 00:34:56,600 --> 00:34:58,239 Speaker 1: you have to be over here, and then they go. 681 00:34:58,640 --> 00:35:00,600 Speaker 1: It just caused a lot of confusions. Some of people 682 00:35:00,600 --> 00:35:03,600 Speaker 1: say they're like sworn statements of voters, saying one voter 683 00:35:03,719 --> 00:35:05,800 Speaker 1: explained that she and her husband, who are registered to 684 00:35:05,840 --> 00:35:09,320 Speaker 1: vote at the same address, were assigned different polling places 685 00:35:09,360 --> 00:35:12,360 Speaker 1: and different city council districts, and another there was a 686 00:35:12,440 --> 00:35:14,920 Speaker 1: voting machine that just froze on election day, and several 687 00:35:14,960 --> 00:35:17,440 Speaker 1: instances voters showed up their polling places as listed on 688 00:35:17,480 --> 00:35:19,960 Speaker 1: the Secretary of State's website, only to be told they 689 00:35:20,000 --> 00:35:24,040 Speaker 1: were supposed to vote elsewhere. So in Atlanta, voting machine 690 00:35:24,040 --> 00:35:26,879 Speaker 1: provided a Democrat with a voting ballot including the fifth 691 00:35:26,920 --> 00:35:30,319 Speaker 1: congressional district where John Lewis ran unopposed, instead of the 692 00:35:30,440 --> 00:35:34,080 Speaker 1: sixth Congressional district, which it was like a very competitive 693 00:35:34,120 --> 00:35:36,560 Speaker 1: Democratic race. So it's giving him a completely wrong ballot. 694 00:35:36,600 --> 00:35:39,239 Speaker 1: So there's a lot of there's just a lot of 695 00:35:39,280 --> 00:35:41,359 Speaker 1: funk ups that are going on, and people are saying, like, yo, 696 00:35:41,400 --> 00:35:43,120 Speaker 1: even if you just throw out the idea that it 697 00:35:43,160 --> 00:35:46,640 Speaker 1: could be Russian hacking or whatever, it's just fucked up 698 00:35:46,719 --> 00:35:50,040 Speaker 1: voting systems that need to be addressed either way. Uh. 699 00:35:50,040 --> 00:35:52,759 Speaker 1: And again when you look at the Secretary of State 700 00:35:52,800 --> 00:35:55,680 Speaker 1: of Georgia, uh, which a man named Brian Kemp. He's 701 00:35:55,760 --> 00:35:58,440 Speaker 1: running for governor right now. So he's been like, no, no, 702 00:35:58,480 --> 00:36:00,560 Speaker 1: everything's fine, like we've got it all worked out, because 703 00:36:00,560 --> 00:36:02,080 Speaker 1: I don't think it's good for you as a governor 704 00:36:02,120 --> 00:36:04,480 Speaker 1: to run on. Yeah. I oversee the you know, the 705 00:36:04,520 --> 00:36:07,239 Speaker 1: elections that are completely fucked up and screwed up all 706 00:36:07,239 --> 00:36:10,640 Speaker 1: the time and giving people problems. Uh So, yeah, this 707 00:36:10,680 --> 00:36:13,240 Speaker 1: isn't the first time that Dy've even come under scrutiny. 708 00:36:13,280 --> 00:36:17,200 Speaker 1: Like even Robert Mueller. His indictment indicated that Russians were 709 00:36:17,400 --> 00:36:20,880 Speaker 1: charged with hacking into democratic emails and visited county election 710 00:36:20,920 --> 00:36:24,279 Speaker 1: websites in Georgia, among other states. And there have been 711 00:36:24,320 --> 00:36:26,200 Speaker 1: a lot of white hat hackers who have just been 712 00:36:26,200 --> 00:36:28,840 Speaker 1: telling them like, hey, your machine suck and your voting 713 00:36:28,880 --> 00:36:30,960 Speaker 1: systems suck. Like I'm well, I'm not, I'm here to 714 00:36:31,040 --> 00:36:33,160 Speaker 1: do to tell you about the problems, not here to 715 00:36:33,200 --> 00:36:35,640 Speaker 1: actually sunk around in the systems, and like please, you 716 00:36:35,640 --> 00:36:38,239 Speaker 1: should do something about it. But you know, we'll see 717 00:36:38,280 --> 00:36:40,840 Speaker 1: what happens, because you know, there is a there's a 718 00:36:40,880 --> 00:36:44,080 Speaker 1: bipartisan group working on election security, but that is gonna 719 00:36:44,239 --> 00:36:48,160 Speaker 1: probably be more for the election than the mid terms 720 00:36:48,160 --> 00:36:49,960 Speaker 1: coming up in November. Yeah, there's a good five thirty 721 00:36:50,239 --> 00:36:54,200 Speaker 1: article where, uh, one of their writers sort of does 722 00:36:54,320 --> 00:36:58,880 Speaker 1: a timeline of the mid term election day what it 723 00:36:58,880 --> 00:37:02,359 Speaker 1: would look like if rush to successfully interferes. And it's 724 00:37:02,400 --> 00:37:05,319 Speaker 1: interesting because the way that they fuck with things is 725 00:37:05,360 --> 00:37:08,560 Speaker 1: not like, well, look, Republicans got a million votes and 726 00:37:08,640 --> 00:37:12,359 Speaker 1: Democrats got zero, Like we wouldn't know, it's just they 727 00:37:12,719 --> 00:37:16,320 Speaker 1: like this actually happened in the primaries in my district. 728 00:37:16,560 --> 00:37:20,320 Speaker 1: The voter rolls were fucked up, and so it created 729 00:37:20,400 --> 00:37:24,680 Speaker 1: long delays at the ballot, and so fewer people voted 730 00:37:24,840 --> 00:37:28,399 Speaker 1: in that district. And they knew, like, if Russia wanted 731 00:37:28,440 --> 00:37:31,520 Speaker 1: to funk with the outcome, they would make it so 732 00:37:31,560 --> 00:37:34,840 Speaker 1: that fewer people could yeah, confusion, and so that fewer 733 00:37:34,840 --> 00:37:37,560 Speaker 1: people could vote in a certain district where they knew 734 00:37:37,600 --> 00:37:39,319 Speaker 1: that Democrats were going to get a lot of the votes. 735 00:37:40,120 --> 00:37:43,880 Speaker 1: Although our president has already told us that they probably 736 00:37:43,880 --> 00:37:46,879 Speaker 1: want Democrats to win, so yeah, for sure, So we're 737 00:37:47,360 --> 00:37:49,640 Speaker 1: I mean again, and even if that's the case, then 738 00:37:49,640 --> 00:37:52,120 Speaker 1: why wouldn't you do something about it? Right if you 739 00:37:52,200 --> 00:37:54,600 Speaker 1: really have that fear, Like I mean, if you're gonna 740 00:37:54,640 --> 00:37:56,440 Speaker 1: try and explain a way the blue wave if it 741 00:37:56,520 --> 00:37:58,920 Speaker 1: comes and to say that, oh that's Russia, then it 742 00:37:58,920 --> 00:38:01,480 Speaker 1: would it would be whove you to be like, yeah, 743 00:38:01,520 --> 00:38:03,600 Speaker 1: we gotta we gotta buckle down on this thing. We 744 00:38:03,600 --> 00:38:06,840 Speaker 1: can't have them steal the you know, the house or whatever. 745 00:38:06,960 --> 00:38:09,400 Speaker 1: I mean. I mean, there's a chance he's just hedging 746 00:38:09,440 --> 00:38:11,280 Speaker 1: his bets again the same way that he did leading 747 00:38:11,280 --> 00:38:14,040 Speaker 1: into the first elections and everything was ragged, and now 748 00:38:14,080 --> 00:38:16,799 Speaker 1: it's saying Russia wants the Democrats to win. So if 749 00:38:16,800 --> 00:38:18,640 Speaker 1: the Democrats win, he can spend the rest of his 750 00:38:18,640 --> 00:38:20,799 Speaker 1: life saying, the Russians did that, and if they don't win, 751 00:38:20,840 --> 00:38:22,680 Speaker 1: he could spend the rest of his life saying, no 752 00:38:22,680 --> 00:38:24,880 Speaker 1: one thought I was gonna win. I had the media 753 00:38:24,920 --> 00:38:27,080 Speaker 1: and the Russians against me, and I still want because 754 00:38:27,520 --> 00:38:30,080 Speaker 1: I'm great. Isn't that right? But then on one side, 755 00:38:30,080 --> 00:38:33,680 Speaker 1: and he's like, but Russia, Russia loves me. Putin loves me, 756 00:38:33,719 --> 00:38:35,880 Speaker 1: but then they also don't want me, so like he 757 00:38:35,960 --> 00:38:39,080 Speaker 1: also he died, Like he says three different things simultaneous, 758 00:38:39,120 --> 00:38:41,279 Speaker 1: and you're like, wait, Pussia, Putin is the homie and 759 00:38:41,320 --> 00:38:43,600 Speaker 1: you're trying to work on good relationships. But he definitely 760 00:38:43,600 --> 00:38:45,600 Speaker 1: didn't want you to be president, although he literally said 761 00:38:45,600 --> 00:38:47,439 Speaker 1: in a press conference, yes, I wanted him to win, 762 00:38:48,080 --> 00:38:50,640 Speaker 1: So I don't whatever. Again, this is what this is 763 00:38:50,640 --> 00:38:52,040 Speaker 1: the world we're living and where we're like, yeah, what 764 00:38:52,080 --> 00:38:54,400 Speaker 1: I mean? Fucket? I mean, because we're not getting any 765 00:38:54,440 --> 00:38:56,719 Speaker 1: feedback that like, oh, yeah, you can't do this and 766 00:38:56,760 --> 00:38:58,640 Speaker 1: here are the consequences. We're just sort of like, I 767 00:38:59,000 --> 00:39:01,719 Speaker 1: you know, eventually Robert Mueller might figure it out and 768 00:39:01,760 --> 00:39:04,719 Speaker 1: then create a rich pressure. But you know, Republicans, y'all 769 00:39:04,719 --> 00:39:08,279 Speaker 1: can do something, but you won't. Yeah, So from the 770 00:39:08,320 --> 00:39:11,800 Speaker 1: sanctity of our democracy to the thing that people actually 771 00:39:11,800 --> 00:39:15,680 Speaker 1: get a startup. We are bringing in super producer On 772 00:39:15,800 --> 00:39:19,560 Speaker 1: Hosnier to tell us what happened last night in the 773 00:39:19,560 --> 00:39:27,839 Speaker 1: Bachelaurette finale. Oh, thank you so much for Howard Stern. Yeah, 774 00:39:28,160 --> 00:39:31,120 Speaker 1: by the way, is Howard Stern like pro Trump politically? 775 00:39:31,239 --> 00:39:36,920 Speaker 1: Now he's not alright, Sorry, he's probing annoying. Okay, so 776 00:39:38,160 --> 00:39:42,560 Speaker 1: hold on, Turner, Michael, I can't handle that. He's probing 777 00:39:42,760 --> 00:39:47,239 Speaker 1: uninteresting to look at. So here's the time for all 778 00:39:47,280 --> 00:39:49,440 Speaker 1: the people who are triggered by my bachelor stuff to 779 00:39:49,480 --> 00:39:54,560 Speaker 1: skip forward forty five minutes because that's right here. So 780 00:39:54,840 --> 00:39:58,360 Speaker 1: last night was the Bachelrette finale, and it really just 781 00:39:58,360 --> 00:40:01,200 Speaker 1: shows you where we are in America because the guy 782 00:40:01,280 --> 00:40:04,440 Speaker 1: who won was the one who had controversy for liking 783 00:40:04,480 --> 00:40:08,640 Speaker 1: a bunch of like really intense alterright memes, like stuff 784 00:40:08,680 --> 00:40:13,440 Speaker 1: like calling David Hogg a crisis actor, image of like 785 00:40:13,560 --> 00:40:15,960 Speaker 1: feminazis and then one of like a guy throwing a 786 00:40:15,960 --> 00:40:20,520 Speaker 1: little boy back over the border, like really like you're out, 787 00:40:21,440 --> 00:40:24,799 Speaker 1: yeah yeah, and like transphobic stuff and homophobic stuff. It 788 00:40:24,840 --> 00:40:27,080 Speaker 1: was just stuff like you have to follow a certain 789 00:40:27,120 --> 00:40:29,960 Speaker 1: type of account to like these to begin with. And 790 00:40:30,000 --> 00:40:31,879 Speaker 1: then of course someone out of him, probably someone who 791 00:40:31,920 --> 00:40:33,560 Speaker 1: followed him, because that's the only way you can see 792 00:40:33,560 --> 00:40:35,600 Speaker 1: what how people are liking if your friend keeps showing 793 00:40:35,680 --> 00:40:39,440 Speaker 1: up like like this, you know, so of course he 794 00:40:39,520 --> 00:40:43,840 Speaker 1: won naturally out of like, however, how many people do 795 00:40:43,920 --> 00:40:49,840 Speaker 1: they start with? And she narrowed name. His name is Garrett, 796 00:40:49,960 --> 00:40:53,239 Speaker 1: your Gary just right, the bachelor. I don't know how 797 00:40:53,239 --> 00:40:56,520 Speaker 1: to say his last name. Um, he's from Antica, California, 798 00:40:56,560 --> 00:40:59,960 Speaker 1: which is like a known red county in California. Send 799 00:41:00,000 --> 00:41:04,480 Speaker 1: to California. Yeah, so his politics clearly are problematic. And 800 00:41:04,880 --> 00:41:08,080 Speaker 1: the woman Becca, who is the bachelorette, known Hillary supporter, 801 00:41:08,440 --> 00:41:11,480 Speaker 1: like goes to all the women marches, got her pussy 802 00:41:11,480 --> 00:41:15,280 Speaker 1: hat flowing, you know, like out here, very outspoken about 803 00:41:15,719 --> 00:41:18,279 Speaker 1: her politics. So she ends up with this guy, and 804 00:41:19,600 --> 00:41:21,920 Speaker 1: when it came out, we hadn't known that he was 805 00:41:21,960 --> 00:41:24,399 Speaker 1: gonna win. When it came all this controversy came out. 806 00:41:24,440 --> 00:41:26,480 Speaker 1: And then she put out a statement being like you 807 00:41:26,560 --> 00:41:28,520 Speaker 1: really just got to watch the show to understand and 808 00:41:28,560 --> 00:41:30,400 Speaker 1: all this stuff. And he put out a statement being like, 809 00:41:30,440 --> 00:41:33,160 Speaker 1: my bad I didn't know. I'm a dum dumb. And 810 00:41:33,200 --> 00:41:37,120 Speaker 1: then and then as you watch the show, holy sh it, 811 00:41:37,200 --> 00:41:39,680 Speaker 1: he's a dum dumb. Like he the way he speaks, 812 00:41:39,719 --> 00:41:41,759 Speaker 1: he kind of talks like Forrest Gump, where he's like 813 00:41:41,960 --> 00:41:46,399 Speaker 1: I really like her and she like me. Like last 814 00:41:46,480 --> 00:41:49,399 Speaker 1: night he literally said, he was like you, you don't 815 00:41:49,440 --> 00:41:52,239 Speaker 1: even give me butterflies because they're small. You give me 816 00:41:52,320 --> 00:41:56,879 Speaker 1: eagles in my stomach, Like that's that's the level. Also 817 00:41:57,000 --> 00:42:02,120 Speaker 1: another point where they're trying to give me eagles, yes, 818 00:42:03,600 --> 00:42:06,080 Speaker 1: shout out to Philadelphia. And then he literally cried through 819 00:42:06,120 --> 00:42:08,400 Speaker 1: the whole episode, like he would start talking to a 820 00:42:08,480 --> 00:42:10,560 Speaker 1: family member of hers and he would just immediately just 821 00:42:10,560 --> 00:42:14,520 Speaker 1: start bawling, just be like just I don't know, I 822 00:42:14,760 --> 00:42:18,560 Speaker 1: feel legal feelings, like he couldn't handle it. Just still 823 00:42:18,600 --> 00:42:23,880 Speaker 1: make it so full of dragons dragons. And there was 824 00:42:23,920 --> 00:42:25,879 Speaker 1: a point when they were on a date last night 825 00:42:25,920 --> 00:42:28,719 Speaker 1: that they're on a boat. They're talking about because he 826 00:42:28,760 --> 00:42:30,960 Speaker 1: had just met her family. They're having a conversation. He's 827 00:42:30,960 --> 00:42:32,760 Speaker 1: been like, oh, you know, I talked to your sister. 828 00:42:33,200 --> 00:42:38,120 Speaker 1: I talked to you. Oh my god, dolphins, dolphins, and 829 00:42:38,160 --> 00:42:42,239 Speaker 1: the entire conversation pivots and they're just being like, dolphins, 830 00:42:42,280 --> 00:42:44,040 Speaker 1: did he say a problematic ship while he was on 831 00:42:44,040 --> 00:42:46,320 Speaker 1: the show. He doesn't say anything. He's like so dumb 832 00:42:46,400 --> 00:42:47,799 Speaker 1: that he's just like, yo, you don't even have an 833 00:42:47,800 --> 00:42:50,160 Speaker 1: opinion on anything. No, he's just being like, that's funny, 834 00:42:50,280 --> 00:42:55,000 Speaker 1: like that man is throwing that little man over a wall, 835 00:42:55,480 --> 00:42:57,640 Speaker 1: and look, the dolphins are doing flips. And also this 836 00:42:57,680 --> 00:43:01,759 Speaker 1: is incidental, but I think the kid should stay in case. Yeah, 837 00:43:01,880 --> 00:43:05,440 Speaker 1: and so, and you know he obviously he won the 838 00:43:05,440 --> 00:43:09,160 Speaker 1: other guy, which is it's heartbreaking because the other guy 839 00:43:09,239 --> 00:43:11,319 Speaker 1: he survived a school shooting. He survived a lot of 840 00:43:11,320 --> 00:43:14,040 Speaker 1: trauma from his childhood. So you know, there were jokes 841 00:43:14,040 --> 00:43:16,400 Speaker 1: being like, okay, so literally that guy is someone the 842 00:43:16,400 --> 00:43:20,640 Speaker 1: guy who one would call a crisis actor. The other 843 00:43:20,680 --> 00:43:22,680 Speaker 1: guy was the crisis actor he was, and then the 844 00:43:22,719 --> 00:43:24,799 Speaker 1: other man that one was the one that would call 845 00:43:24,880 --> 00:43:28,359 Speaker 1: the runner up a crisis actor. It's a whole lot 846 00:43:28,400 --> 00:43:39,200 Speaker 1: of my mouth got dry. I was talking too quick. Um, 847 00:43:39,239 --> 00:43:41,759 Speaker 1: so I don't know it kind of it shows a 848 00:43:41,800 --> 00:43:44,480 Speaker 1: lot what's wrong with what's going on with the casting 849 00:43:44,520 --> 00:43:46,640 Speaker 1: of the Bachelor. Like another guy gotta cute who was 850 00:43:47,000 --> 00:43:50,160 Speaker 1: on the show a contestant got accused of sexual harassment. 851 00:43:50,640 --> 00:43:53,760 Speaker 1: So this past season, this girl was given a whole 852 00:43:54,040 --> 00:43:56,560 Speaker 1: lot of ship heads. And you know another thing in 853 00:43:56,600 --> 00:43:58,600 Speaker 1: that after the rows, like after the show, they have 854 00:43:58,719 --> 00:44:01,000 Speaker 1: like this final after show where they bring all the 855 00:44:01,040 --> 00:44:05,240 Speaker 1: contestants on and talk. She basically says that she didn't 856 00:44:05,280 --> 00:44:08,880 Speaker 1: pick the runner up because she felt like he was 857 00:44:08,960 --> 00:44:12,279 Speaker 1: mentally unstable. And yes, on the show he was being 858 00:44:12,400 --> 00:44:15,839 Speaker 1: very like insecure naturally when you're like fighting for the 859 00:44:15,920 --> 00:44:18,320 Speaker 1: love of a woman who's in love with like other people, 860 00:44:18,920 --> 00:44:22,520 Speaker 1: and so he came off it's like, oh god, the 861 00:44:22,560 --> 00:44:25,160 Speaker 1: whole time and so on that after a human being 862 00:44:25,200 --> 00:44:28,719 Speaker 1: who's forced to be on some shitty dating exactly, who 863 00:44:28,880 --> 00:44:31,200 Speaker 1: is you know, just an emotional guy and and he's 864 00:44:31,280 --> 00:44:33,560 Speaker 1: coming off a really bad break up. You were saying, Yes, 865 00:44:33,600 --> 00:44:35,719 Speaker 1: he got broken up with and Dumpton apparently took that 866 00:44:35,800 --> 00:44:37,799 Speaker 1: very hard, where his mom had to really build him 867 00:44:37,800 --> 00:44:40,839 Speaker 1: back up because he felt so unlovable. But he also 868 00:44:40,920 --> 00:44:45,520 Speaker 1: survived a school shooting. He survived, He's a survivor. Yeah, 869 00:44:45,560 --> 00:44:47,920 Speaker 1: he survived an incident where his mom had an affair 870 00:44:47,920 --> 00:44:49,960 Speaker 1: with the coach at his school and he was on 871 00:44:50,000 --> 00:44:53,120 Speaker 1: the team and it was like a city like whatever 872 00:44:53,200 --> 00:44:56,040 Speaker 1: town scandal he survived, that survived the school shooting that 873 00:44:56,080 --> 00:44:57,920 Speaker 1: his mom and sister were both at because they were 874 00:44:57,960 --> 00:44:59,880 Speaker 1: both at the school, and then he got through this 875 00:45:00,920 --> 00:45:03,040 Speaker 1: and this girl, literally, Becca literally says like, you know, 876 00:45:03,120 --> 00:45:04,719 Speaker 1: I just don't know how you would react to like 877 00:45:04,880 --> 00:45:08,400 Speaker 1: a like a dead relative or like a sick child basically, 878 00:45:08,840 --> 00:45:12,480 Speaker 1: and it's like, you, bitch, did you speak the racist 879 00:45:12,560 --> 00:45:14,960 Speaker 1: and you're saying this mentally unstable? But did she know? 880 00:45:15,440 --> 00:45:18,080 Speaker 1: Did they address there like, yo, we know you're on 881 00:45:18,120 --> 00:45:20,239 Speaker 1: this end of the political spectrum. And then I'm sure 882 00:45:20,760 --> 00:45:23,120 Speaker 1: off the show you found out about this man? What's 883 00:45:23,160 --> 00:45:26,440 Speaker 1: the deal? What's good be? So finally he has to, 884 00:45:26,440 --> 00:45:28,520 Speaker 1: towards the end of the after show, he has to 885 00:45:28,560 --> 00:45:31,480 Speaker 1: address it, and he gives the most half as X. 886 00:45:31,520 --> 00:45:34,200 Speaker 1: He doesn't explain why he liked it, He doesn't explain 887 00:45:34,280 --> 00:45:37,320 Speaker 1: what his politics are. He just goes, I didn't understand 888 00:45:37,719 --> 00:45:40,719 Speaker 1: how people would take like a double tap like on Instagram. 889 00:45:41,080 --> 00:45:43,120 Speaker 1: And I'm learning, and I'm trying to grow and move 890 00:45:43,160 --> 00:45:46,279 Speaker 1: on from are not who I am. I'm darning His 891 00:45:46,320 --> 00:45:49,120 Speaker 1: apology here, and it is exactly the kind of apology 892 00:45:49,160 --> 00:45:50,719 Speaker 1: that we see a lot in modern times that I 893 00:45:50,760 --> 00:45:53,640 Speaker 1: absolutely hate. When I'm sorry to those who offended. I 894 00:45:53,640 --> 00:45:56,200 Speaker 1: take full responsibility for my legs, and I'm gonna learn 895 00:45:56,440 --> 00:45:58,680 Speaker 1: and I'm gonna grow. I need someone in there to 896 00:45:58,680 --> 00:46:01,120 Speaker 1: to jump in and be why don't you explain to 897 00:46:01,160 --> 00:46:03,719 Speaker 1: me why this is offensive? Though, because anytime someone does 898 00:46:03,760 --> 00:46:06,400 Speaker 1: something shitty and then it publicly was like, you're right, 899 00:46:06,440 --> 00:46:08,000 Speaker 1: I did this and I'm gonna take some time to 900 00:46:08,040 --> 00:46:10,200 Speaker 1: learn and grow. It's never good enough to me because 901 00:46:10,239 --> 00:46:13,000 Speaker 1: you could just disappear from public life for two weeks 902 00:46:13,000 --> 00:46:15,120 Speaker 1: and come back and be like, did it grew? I 903 00:46:15,160 --> 00:46:17,919 Speaker 1: need you to articulate why you think we're all mad 904 00:46:18,040 --> 00:46:21,040 Speaker 1: right now? I grew. I'm grown af After that, and 905 00:46:21,120 --> 00:46:22,759 Speaker 1: she kind of glossed over it as wall and she 906 00:46:22,800 --> 00:46:25,200 Speaker 1: was like, well, we're just continuing to have conversations as 907 00:46:25,239 --> 00:46:28,200 Speaker 1: to why that was bad, and that was it was 908 00:46:28,239 --> 00:46:31,120 Speaker 1: so like just glazed over. It fell flat for me. 909 00:46:31,200 --> 00:46:33,680 Speaker 1: I was like, okay, but why do you still like 910 00:46:33,840 --> 00:46:38,000 Speaker 1: that kind of stuff or like what made you? It 911 00:46:38,120 --> 00:46:40,560 Speaker 1: was like, I'm on the bachelorette, Okay, I need to 912 00:46:40,560 --> 00:46:43,320 Speaker 1: find somebody. The best I can do is Peppe the 913 00:46:43,320 --> 00:46:46,839 Speaker 1: frog over here, and then well that's what it felt 914 00:46:46,880 --> 00:46:48,680 Speaker 1: like like she's like, I don't know, I remember, but 915 00:46:48,760 --> 00:46:51,200 Speaker 1: last season I was dumped on National TV after being 916 00:46:51,200 --> 00:46:53,080 Speaker 1: picked and then my the guy who picked me went 917 00:46:53,120 --> 00:46:54,960 Speaker 1: back to the runner up, so you know, I really 918 00:46:55,000 --> 00:46:57,640 Speaker 1: need this. This is this the one he chased around 919 00:46:57,800 --> 00:46:59,359 Speaker 1: and he was like, oh are you mad at me? 920 00:47:00,000 --> 00:47:02,200 Speaker 1: And she's like, yo, leave me then alone want to 921 00:47:02,560 --> 00:47:06,800 Speaker 1: broke up with on TV after proposing to going back 922 00:47:06,840 --> 00:47:10,080 Speaker 1: to go back to the runner up. So there was 923 00:47:10,120 --> 00:47:13,520 Speaker 1: a lot going on there. So I don't know how 924 00:47:13,640 --> 00:47:16,399 Speaker 1: encyclopedic be as your knowledge of Bachelor and Bachelorette, it's 925 00:47:16,400 --> 00:47:21,279 Speaker 1: pretty deep fairly Okay, who's darva Congress? In general? What 926 00:47:21,320 --> 00:47:24,400 Speaker 1: are the success rate of these matches? Is it pretty 927 00:47:24,440 --> 00:47:27,600 Speaker 1: high or pretty super lower? It's low? Yeah, yeah, it's low. 928 00:47:27,640 --> 00:47:31,319 Speaker 1: I mean the unfortunate thing is because of Instagram and 929 00:47:31,400 --> 00:47:35,320 Speaker 1: social media, it's harder for these relationships to survive because 930 00:47:35,320 --> 00:47:37,879 Speaker 1: the genuineity it's not clear and people are just coming 931 00:47:37,960 --> 00:47:39,640 Speaker 1: on to like kind of have a presence on the 932 00:47:39,680 --> 00:47:43,200 Speaker 1: internet so they can, you know, sell sponsor ads on Instagram. 933 00:47:43,200 --> 00:47:45,360 Speaker 1: Like you don't know what people are really in it for. 934 00:47:45,440 --> 00:47:47,439 Speaker 1: If they're there to be famous, if they're actually there 935 00:47:47,480 --> 00:47:49,960 Speaker 1: to find love and it becomes a little bit more. 936 00:47:50,440 --> 00:47:53,560 Speaker 1: There's a lot of gray areas currently on the show 937 00:47:54,640 --> 00:47:58,480 Speaker 1: and a lot of very bad cast Yeah you know, 938 00:47:58,680 --> 00:48:03,560 Speaker 1: come on ABC, So yes, so I expect. I don't 939 00:48:03,600 --> 00:48:06,600 Speaker 1: really expect more from ABC, though, to be honest, the 940 00:48:06,640 --> 00:48:09,600 Speaker 1: unfortunate thing is if you did not get that information 941 00:48:09,640 --> 00:48:12,759 Speaker 1: about him, he's one of the most likable dudes. It's 942 00:48:12,800 --> 00:48:15,200 Speaker 1: so frustrating. It's a mind funk. We keep joking like, 943 00:48:15,200 --> 00:48:17,359 Speaker 1: god damn, he's the most likable racist I've ever seen 944 00:48:17,400 --> 00:48:19,799 Speaker 1: in my life. Like, we don't. If you didn't know 945 00:48:19,880 --> 00:48:22,160 Speaker 1: this background, you'd be like, oh, he's great because he's 946 00:48:22,200 --> 00:48:25,560 Speaker 1: just nice, he's sweet, he's just like her, like literally, 947 00:48:25,640 --> 00:48:29,440 Speaker 1: but he could just be one of these ignorant type people. Yeah, 948 00:48:29,440 --> 00:48:31,200 Speaker 1: where that's that's the hard But that's why it's like 949 00:48:31,239 --> 00:48:33,399 Speaker 1: you can't really immediately be like, well, he's just because 950 00:48:33,680 --> 00:48:36,920 Speaker 1: it sounds like he's just really stupid. That's that is 951 00:48:36,960 --> 00:48:39,960 Speaker 1: for sure. A known quality is he is dumb. Growing up, 952 00:48:39,960 --> 00:48:41,799 Speaker 1: all my friends like these frog memes. We didn't really 953 00:48:41,840 --> 00:48:43,399 Speaker 1: know what it meant. It was just a thing we did. 954 00:48:43,800 --> 00:48:45,840 Speaker 1: Right now, I'm on TV and everyone's mad at me. 955 00:48:47,040 --> 00:48:50,600 Speaker 1: We're just really we're just really bad at drawing plus signs, 956 00:48:50,600 --> 00:48:53,000 Speaker 1: and they ended up looking like that. It's just like dolphins. 957 00:48:53,960 --> 00:48:55,879 Speaker 1: He literally a dolphin just jumped up and he goes, 958 00:48:55,920 --> 00:49:00,680 Speaker 1: they're doing tricks for us. They're just dolphins like hanging out. 959 00:49:00,719 --> 00:49:06,719 Speaker 1: It's not for you, my friend. You think they're socialists. 960 00:49:07,000 --> 00:49:11,000 Speaker 1: Never mind, So that's what happened. But you know what, guys, 961 00:49:11,080 --> 00:49:13,080 Speaker 1: we're moving on to Bachelor in Paradise, one of the 962 00:49:13,080 --> 00:49:16,560 Speaker 1: greatest television shows. It's not a disaster, it's one of 963 00:49:16,600 --> 00:49:18,759 Speaker 1: the greatest things to ever happen in the world. That's 964 00:49:18,800 --> 00:49:22,160 Speaker 1: just where we watch Bachelorette and The Bachelor, so we 965 00:49:22,200 --> 00:49:24,799 Speaker 1: can finish our year off with Bachelor in Paradise. It's 966 00:49:24,800 --> 00:49:28,200 Speaker 1: a fucking ship show. Literally, everyone's on like on the 967 00:49:28,280 --> 00:49:31,560 Speaker 1: chopping block. Anything can happen because on the Bachelor Bacherette 968 00:49:31,600 --> 00:49:34,839 Speaker 1: they really protect the main person. They don't make them 969 00:49:34,840 --> 00:49:36,560 Speaker 1: look like a fool, to make them always look great. 970 00:49:37,120 --> 00:49:40,439 Speaker 1: The Bachelor in Paradise, you all fools. The editors will 971 00:49:40,480 --> 00:49:43,440 Speaker 1: have you crying and talking to fucking raccoons. Then he 972 00:49:43,520 --> 00:49:46,799 Speaker 1: gives a ship. Don't you like drunk like confessing to 973 00:49:46,840 --> 00:49:50,040 Speaker 1: an iguana that's how they just take it there and 974 00:49:50,080 --> 00:49:52,000 Speaker 1: they don't give a funk and you're all idiots and 975 00:49:52,120 --> 00:49:54,680 Speaker 1: I love it. Who is the premise? Is there a 976 00:49:54,719 --> 00:50:01,800 Speaker 1: single bachelor bachelor in Paradise? They yeah, it's a raccoon 977 00:50:01,880 --> 00:50:07,640 Speaker 1: try and fun. Yeah, they take all the cast offs 978 00:50:07,680 --> 00:50:11,280 Speaker 1: put them on this um like resort in um Mexico 979 00:50:11,360 --> 00:50:15,879 Speaker 1: that has very poor plumbing. And yeah, it's like they're 980 00:50:15,880 --> 00:50:18,440 Speaker 1: always like it smells like shit, and oh you know 981 00:50:18,520 --> 00:50:21,000 Speaker 1: why because they probably have septic systems. And the question 982 00:50:21,000 --> 00:50:22,839 Speaker 1: and the toilet paper down the thing and they tell 983 00:50:22,880 --> 00:50:25,160 Speaker 1: you you'll do the paper in little garbage. Can't because 984 00:50:25,200 --> 00:50:26,560 Speaker 1: we can't handle the ship. And don't get mad when 985 00:50:26,560 --> 00:50:30,040 Speaker 1: it starts backing up anyway. Yeah, so it's all stops 986 00:50:30,040 --> 00:50:31,920 Speaker 1: and then they all fall in love with each other basically, 987 00:50:31,960 --> 00:50:33,879 Speaker 1: and it's a ship show and it's a lot of fun. 988 00:50:33,920 --> 00:50:36,320 Speaker 1: They drink a lot. So what's the name of the 989 00:50:36,400 --> 00:50:39,640 Speaker 1: runner up from last night? What's his name? Blake? Blake, 990 00:50:40,280 --> 00:50:42,440 Speaker 1: shout out to you, man, I think I think Becca 991 00:50:42,520 --> 00:50:45,600 Speaker 1: did not choose you because it was coming from a 992 00:50:45,600 --> 00:50:49,360 Speaker 1: place of weakness. You know, you represent maybe some instability 993 00:50:49,520 --> 00:50:52,080 Speaker 1: or like, you know, having been broken up with you 994 00:50:52,640 --> 00:50:55,560 Speaker 1: have that part of your personality. And she got dumped 995 00:50:55,600 --> 00:50:59,800 Speaker 1: on national television, so she just didn't want to relive 996 00:51:00,000 --> 00:51:02,160 Speaker 1: at and be reminded. But that just that's just gonna 997 00:51:02,160 --> 00:51:04,480 Speaker 1: make you strong. I do want to say. Mental illness 998 00:51:04,560 --> 00:51:07,239 Speaker 1: is so stigmatized, it's not appropriate what she did to 999 00:51:07,280 --> 00:51:09,920 Speaker 1: be like that is not stable enough to handle. It's like, 1000 00:51:10,040 --> 00:51:13,520 Speaker 1: just he survived all that, he survived your ship ass breakup. 1001 00:51:13,640 --> 00:51:16,120 Speaker 1: You shouldn't even bring that up as your reasoning and 1002 00:51:16,160 --> 00:51:17,600 Speaker 1: at all you should be like, you know it wasn't 1003 00:51:17,640 --> 00:51:19,440 Speaker 1: gonna work. You shouldn't then go be like because you 1004 00:51:19,440 --> 00:51:23,680 Speaker 1: look unstable. Blake. Incredibly brave of you to put yourself 1005 00:51:23,680 --> 00:51:27,560 Speaker 1: out there in such a grand and dramatic ways on 1006 00:51:27,600 --> 00:51:30,719 Speaker 1: your journey towards healing and growth. Blake, Blake, all right, 1007 00:51:30,760 --> 00:51:32,920 Speaker 1: we're gonna take a quick break. Thank you so so much, 1008 00:51:33,000 --> 00:51:35,560 Speaker 1: quick Blake, A man, We're gonna take out quick Blake, 1009 00:51:36,000 --> 00:51:51,160 Speaker 1: and we'll be right back. And we're back. And uh, 1010 00:51:51,200 --> 00:51:54,319 Speaker 1: we've got some bad news. Bad news for anybody who 1011 00:51:54,400 --> 00:51:58,120 Speaker 1: was raised in the eighties and early nineties and you know, 1012 00:51:58,320 --> 00:52:01,359 Speaker 1: was a fan of action films. Steven Seagal is no 1013 00:52:01,440 --> 00:52:04,759 Speaker 1: longer on our team. Yeah, he fully he's gone to 1014 00:52:04,800 --> 00:52:08,600 Speaker 1: the dark. So lost another good one. Uh. So you know, 1015 00:52:08,680 --> 00:52:11,160 Speaker 1: we we've known that he's been flirting with Vladimir Putin 1016 00:52:11,200 --> 00:52:15,319 Speaker 1: for a while, lad the Mirpole years. Uh and now 1017 00:52:15,360 --> 00:52:18,920 Speaker 1: he is officially a Russian citizen. He's been a Russian citizen, 1018 00:52:18,920 --> 00:52:21,000 Speaker 1: he became a resist citizen a while back, but now 1019 00:52:21,560 --> 00:52:25,080 Speaker 1: he According to his Twitter and the Russian Embassy Twitter, 1020 00:52:25,640 --> 00:52:28,319 Speaker 1: this is Steven Seagal's tweet from his day. I am 1021 00:52:28,600 --> 00:52:31,799 Speaker 1: I'm deeply humbled and honored to have been appointed as 1022 00:52:31,840 --> 00:52:35,600 Speaker 1: a Special Representative of the Russian Foreign Ministry in charge 1023 00:52:35,600 --> 00:52:40,000 Speaker 1: of Russian and American humanitarian ties. I hope we can 1024 00:52:40,040 --> 00:52:43,840 Speaker 1: strive for a peace, harmony and positive results in the world. 1025 00:52:44,040 --> 00:52:48,440 Speaker 1: I take this honor very seriously. I am a gross 1026 00:52:48,440 --> 00:52:50,600 Speaker 1: sex crime. Yeah. I think it was the part that 1027 00:52:50,640 --> 00:52:53,719 Speaker 1: they didn't fit into characters. But yeah, he's a he's 1028 00:52:53,719 --> 00:52:58,680 Speaker 1: got this special I guess title of humanitarian thie improver 1029 00:53:00,080 --> 00:53:02,560 Speaker 1: up again. Look, when I think about people talking, you know, 1030 00:53:02,560 --> 00:53:05,160 Speaker 1: they're always like, oh, the Russians, man, they're infiltrating. This 1031 00:53:05,200 --> 00:53:09,280 Speaker 1: shows that America has fully entered the brains of Eastern 1032 00:53:09,280 --> 00:53:13,760 Speaker 1: European autocrats because they are like in love with Steven Seagal, 1033 00:53:14,040 --> 00:53:16,439 Speaker 1: Like they're like, this guy is the cool the guy 1034 00:53:16,520 --> 00:53:20,160 Speaker 1: from under Siege. I hung out with him, and you're like, dude, 1035 00:53:20,200 --> 00:53:23,839 Speaker 1: you're a fucking like Chechen strong man. You're like, yeah, 1036 00:53:23,880 --> 00:53:25,399 Speaker 1: but he's cool, like he actually knows like all those 1037 00:53:25,440 --> 00:53:27,960 Speaker 1: karate moves, like he could actually suck me up. But yeah, 1038 00:53:28,000 --> 00:53:30,680 Speaker 1: like he's not. It's funny. He's always been powdering around 1039 00:53:30,719 --> 00:53:33,880 Speaker 1: with Putin. Like Putin I think personally handed Steven Seagal 1040 00:53:33,960 --> 00:53:37,920 Speaker 1: his Russian passport was like welcome to Russia. Uh, and 1041 00:53:38,239 --> 00:53:41,920 Speaker 1: the prolific Jewish action hero. This isn't his first time 1042 00:53:42,200 --> 00:53:45,360 Speaker 1: being around these autocrats, because yeah, there's the Rams and 1043 00:53:45,440 --> 00:53:48,560 Speaker 1: catarrav and Czechnia. They hung out for a while, like 1044 00:53:48,600 --> 00:53:51,080 Speaker 1: they were doing like you know, he's a huge mixed 1045 00:53:51,120 --> 00:53:54,719 Speaker 1: martial arts fan, and Segal visited Chechnya and like they 1046 00:53:54,719 --> 00:53:56,799 Speaker 1: were like even doing some dance moves or some cool 1047 00:53:56,880 --> 00:53:59,239 Speaker 1: videos on Twitter of that. He even met up with 1048 00:53:59,400 --> 00:54:03,920 Speaker 1: alex Yeah, Alexander Lukashenko, who's like the president of Belarus 1049 00:54:04,120 --> 00:54:06,719 Speaker 1: who set kind of les a Rice in two thousand five, 1050 00:54:06,760 --> 00:54:09,920 Speaker 1: called the last dictator in Europe. That guy gave Sigal 1051 00:54:10,040 --> 00:54:12,080 Speaker 1: like a guided tour of some of Belarus' is like 1052 00:54:12,160 --> 00:54:15,440 Speaker 1: state owned cooperative farms. Like, is that we got like 1053 00:54:15,480 --> 00:54:17,600 Speaker 1: a giant ass carrot or a watermelon or something it 1054 00:54:17,600 --> 00:54:20,160 Speaker 1: could be handed him some giant vegetable and he was like, 1055 00:54:20,680 --> 00:54:23,240 Speaker 1: I take this very seriously. It was like a really bizarre, 1056 00:54:24,320 --> 00:54:28,000 Speaker 1: exact same speech that he gave to hold this giant 1057 00:54:28,480 --> 00:54:31,080 Speaker 1: baby sized carrot testament to all of your growth. Now 1058 00:54:31,120 --> 00:54:33,200 Speaker 1: the guys are talking about Steven Segal the action here. 1059 00:54:33,320 --> 00:54:38,360 Speaker 1: I mostly know him as the artist, the musician, guitar 1060 00:54:38,520 --> 00:54:42,520 Speaker 1: right right, yeah, with usually there's electricity and lightning going 1061 00:54:42,560 --> 00:54:45,160 Speaker 1: on behind him. Yeah, I mean, he's just that guy. 1062 00:54:45,520 --> 00:54:47,880 Speaker 1: And the funny thing is he also went to Russia 1063 00:54:47,960 --> 00:54:51,359 Speaker 1: once with Dana Roora Baker, who's a congressman down down 1064 00:54:51,400 --> 00:54:54,439 Speaker 1: south in Slano Beach. I think, is it anyway who 1065 00:54:54,719 --> 00:54:57,600 Speaker 1: is quite literally might be an actual Russian agent and 1066 00:54:57,680 --> 00:54:59,960 Speaker 1: congressman at the same time, Like I forget. I think 1067 00:55:00,040 --> 00:55:02,279 Speaker 1: is Kevin McCarthy last year who joked He's like, if 1068 00:55:02,280 --> 00:55:04,560 Speaker 1: there's somebody who's probably getting paid by Russia, it's probably 1069 00:55:04,600 --> 00:55:07,359 Speaker 1: Dana Robacker. And then now he's like, let's let's let's 1070 00:55:07,400 --> 00:55:10,719 Speaker 1: keep that low. But Dania Robacker was the given that 1071 00:55:10,760 --> 00:55:12,640 Speaker 1: he's being paid by Puttin, he was like, I mean, 1072 00:55:12,800 --> 00:55:15,600 Speaker 1: he was making the point that Trump might also be 1073 00:55:15,760 --> 00:55:18,640 Speaker 1: getting paid by He was like, I mean, if there's 1074 00:55:18,680 --> 00:55:21,560 Speaker 1: a second person who's being paid by by Puttin besides 1075 00:55:21,640 --> 00:55:24,720 Speaker 1: Dana Roorbacker, probably Trump. It makes me feel like there's 1076 00:55:24,880 --> 00:55:28,440 Speaker 1: a position open in Russia for like modern pop cultural 1077 00:55:29,320 --> 00:55:32,480 Speaker 1: guide for because because clearly no one's in Putin's here 1078 00:55:32,480 --> 00:55:35,040 Speaker 1: about this. He's like, we've got Steven Seagal and then 1079 00:55:35,360 --> 00:55:39,759 Speaker 1: they were like, have you seen the raid? We got 1080 00:55:39,800 --> 00:55:42,440 Speaker 1: like way way cooler people right now, Like nobody follows, 1081 00:55:42,800 --> 00:55:45,960 Speaker 1: and he's like, Mr Puttin, you know, Keanu Reeves is 1082 00:55:45,960 --> 00:55:49,799 Speaker 1: actually having a research as a really cool action hero. 1083 00:55:50,600 --> 00:55:54,360 Speaker 1: No him, but yeah, And there's the quote Roora Baker 1084 00:55:54,440 --> 00:55:57,520 Speaker 1: talks about going to Russia with Steven Seagal and he says, 1085 00:55:57,880 --> 00:56:00,319 Speaker 1: because of his black belt in karate and thing, he's 1086 00:56:00,360 --> 00:56:02,440 Speaker 1: gotten to know a number of important people in Russia, 1087 00:56:02,440 --> 00:56:05,120 Speaker 1: including Putin, and he was able to use that influence 1088 00:56:05,120 --> 00:56:06,879 Speaker 1: to make sure we got to talk to the very 1089 00:56:06,920 --> 00:56:11,399 Speaker 1: top people. So it's they are so star struck by 1090 00:56:11,440 --> 00:56:13,640 Speaker 1: Steven Seagal over there that's I'm like, yo, you know what, 1091 00:56:13,840 --> 00:56:16,200 Speaker 1: we still we still got mind control of them. They're 1092 00:56:16,200 --> 00:56:18,520 Speaker 1: still into these eighties films and thinks Steven Seagal is like, 1093 00:56:18,920 --> 00:56:20,919 Speaker 1: this is what we're going to get, right. I feel 1094 00:56:20,960 --> 00:56:23,040 Speaker 1: like we could also buy back Steven Seagal for our 1095 00:56:23,080 --> 00:56:25,879 Speaker 1: side with an under siege three oh yes, or it's 1096 00:56:25,920 --> 00:56:29,480 Speaker 1: like this time it's a plane. That's fine, okay, I'll switch. 1097 00:56:29,760 --> 00:56:33,800 Speaker 1: I'm an American patriot again. So speaking of action movies, guys, 1098 00:56:34,239 --> 00:56:38,800 Speaker 1: they a journalist used Foyer request to get a list 1099 00:56:38,960 --> 00:56:42,640 Speaker 1: of four and ten of the movies that were made 1100 00:56:42,719 --> 00:56:46,319 Speaker 1: under direct influence of the Department of Defense. What would 1101 00:56:46,320 --> 00:56:50,240 Speaker 1: that mean if they under the direct influence script approval? Uh, 1102 00:56:50,440 --> 00:56:54,680 Speaker 1: you know, just giving notes Essentially. It's not like they're like, hey, 1103 00:56:54,719 --> 00:56:57,000 Speaker 1: we've got a can you read on our script really quick? 1104 00:56:58,000 --> 00:57:01,120 Speaker 1: Goes to Fox right, No, but it's basically Fox goes 1105 00:57:01,160 --> 00:57:04,480 Speaker 1: to the Pentagon and says, hey, we want aircraft carriers 1106 00:57:04,480 --> 00:57:08,120 Speaker 1: in this movie. You are the only ones with aircraft 1107 00:57:08,160 --> 00:57:11,680 Speaker 1: carriers in the universe. Can we use your aircraft carriers? 1108 00:57:11,960 --> 00:57:14,560 Speaker 1: And the Pentagon is like, okay, let's take a look 1109 00:57:14,600 --> 00:57:16,480 Speaker 1: at the script. Okay, we have some note we have 1110 00:57:16,520 --> 00:57:20,840 Speaker 1: some notes and uh, some of the titles are pretty expected, 1111 00:57:21,520 --> 00:57:25,200 Speaker 1: like all the Jack Ryan movies with Harrison Ford and 1112 00:57:25,480 --> 00:57:29,960 Speaker 1: Ben Affleck and uh some of all Years a Red Dawn, 1113 00:57:30,160 --> 00:57:35,200 Speaker 1: which is pretty clearly just straightforward American propaganda from the 1114 00:57:35,240 --> 00:57:38,720 Speaker 1: Cold War. But there's some I don't know, some that 1115 00:57:38,760 --> 00:57:42,560 Speaker 1: I I did not see coming, like Pet Cemetery and 1116 00:57:42,720 --> 00:57:45,600 Speaker 1: The Perfect Storm. Now, is there an aircraft carrier in 1117 00:57:45,640 --> 00:57:50,640 Speaker 1: Pets the Last Action Hero I don't remember there being 1118 00:57:50,640 --> 00:57:53,840 Speaker 1: an aircraft carrier in them. No, But so it's I 1119 00:57:53,840 --> 00:57:56,080 Speaker 1: don't know, maybe they needed guns and that's a cheap 1120 00:57:56,120 --> 00:57:58,200 Speaker 1: way to get the guns from it. Yeah, but there 1121 00:57:58,200 --> 00:58:00,640 Speaker 1: are plenty of gun wranglers that work in the industry 1122 00:58:00,640 --> 00:58:02,640 Speaker 1: that have all that stuff for you to use, like 1123 00:58:02,720 --> 00:58:05,640 Speaker 1: unless it's something I'm even then, like it wouldn't be 1124 00:58:05,680 --> 00:58:08,240 Speaker 1: for props like they have, like the studios have full 1125 00:58:08,240 --> 00:58:10,440 Speaker 1: on prop departments for that. I don't know. Pet Cemetery 1126 00:58:10,560 --> 00:58:14,720 Speaker 1: like to keep people in fear of like a Native Americans. 1127 00:58:14,720 --> 00:58:17,200 Speaker 1: Oh interesting, like you'd be like, yeah, you know Native 1128 00:58:17,240 --> 00:58:20,360 Speaker 1: American burial ground. They're like keep that narrative going. Good thing, 1129 00:58:20,480 --> 00:58:24,800 Speaker 1: we got rid. Yeah, that's what our pets would be 1130 00:58:24,800 --> 00:58:26,880 Speaker 1: coming back from the dead, perfect storm. I mean, I 1131 00:58:26,880 --> 00:58:29,280 Speaker 1: think that's just a good, uh, good old fashioned ad 1132 00:58:29,280 --> 00:58:33,320 Speaker 1: for gloss to mass. Maybe the coast Guard shows up 1133 00:58:33,360 --> 00:58:36,400 Speaker 1: and they needed some coast Oh yeah, they get saved, 1134 00:58:36,400 --> 00:58:40,680 Speaker 1: don't they. They don't get they died. But I'm sure 1135 00:58:40,680 --> 00:58:44,720 Speaker 1: that big way. I'm sure there are scenes with the 1136 00:58:44,760 --> 00:58:49,960 Speaker 1: coast Guard. Yeah, yeah, they're fucked um. Yeah. And the 1137 00:58:50,040 --> 00:58:53,520 Speaker 1: article makes a good point that you know, we scoff 1138 00:58:53,560 --> 00:58:56,680 Speaker 1: at the idea of like North Korean propaganda, and we 1139 00:58:56,760 --> 00:58:59,800 Speaker 1: do frequently. Yes, we we were just doing it off air, 1140 00:58:59,840 --> 00:59:04,800 Speaker 1: you guys just but you know propaganda foreign countries where 1141 00:59:04,800 --> 00:59:10,800 Speaker 1: they like pushed their junkie propaganda on you know, unwilling audiences, 1142 00:59:10,920 --> 00:59:13,920 Speaker 1: and you know people who are just like this ship again, 1143 00:59:14,040 --> 00:59:18,120 Speaker 1: it's another movie where uh, the deer leader like breaks 1144 00:59:18,160 --> 00:59:22,560 Speaker 1: people's knees backwards or whatever. But we're like the country 1145 00:59:22,680 --> 00:59:27,440 Speaker 1: where we where people actively solicit and consume our government's 1146 00:59:27,480 --> 00:59:31,280 Speaker 1: war propaganda, like we demand it and they give it 1147 00:59:31,320 --> 00:59:34,280 Speaker 1: to us. Uh So I don't know why I made 1148 00:59:34,280 --> 00:59:37,200 Speaker 1: that all sexy, but we do it and they gave it. 1149 00:59:37,200 --> 00:59:40,400 Speaker 1: Well why Star Trek Resurrection, Star Trek four and Star 1150 00:59:40,440 --> 00:59:44,560 Speaker 1: Trek Resurrection. But no other Star Trek movie. That must 1151 00:59:44,600 --> 00:59:46,400 Speaker 1: have been someone high up with the Pentagon. It's just like, 1152 00:59:46,480 --> 00:59:48,439 Speaker 1: I got to read that script before it comes out, 1153 00:59:49,680 --> 00:59:55,160 Speaker 1: Like Huge Treky. Johnny Depp's movie, the story in which 1154 00:59:55,200 --> 00:59:58,960 Speaker 1: he is solving the murder of Notorious b I G. 1155 00:59:59,720 --> 01:00:03,440 Speaker 1: Has been shelved in. Definitely, it's been pulled out of 1156 01:00:03,640 --> 01:00:05,360 Speaker 1: It was supposed to be coming out in a month 1157 01:00:05,400 --> 01:00:10,080 Speaker 1: that released a trailer. It was baffling, like it wasn't clear. 1158 01:00:10,560 --> 01:00:12,520 Speaker 1: It just seemed like it was. It was almost like 1159 01:00:12,640 --> 01:00:17,160 Speaker 1: l a confidential set against the backdrop of the Notorious 1160 01:00:17,200 --> 01:00:22,200 Speaker 1: b I G s murder um and then a Rolling 1161 01:00:22,240 --> 01:00:25,080 Speaker 1: Stone profile that we talked about on this show made 1162 01:00:25,160 --> 01:00:30,480 Speaker 1: him look like a reclusive racist. Uh. There's also you know, 1163 01:00:30,560 --> 01:00:35,080 Speaker 1: people have kind of turned on him after the revelation 1164 01:00:35,160 --> 01:00:38,520 Speaker 1: that he was abusive to Amber heard when they were married, 1165 01:00:39,040 --> 01:00:43,360 Speaker 1: and now the studios pulled that movie. Yeah, well, you 1166 01:00:43,400 --> 01:00:46,640 Speaker 1: know he's not He's not the hot property that he was. 1167 01:00:47,360 --> 01:00:49,560 Speaker 1: His stock has plummeted and and a lot of people 1168 01:00:49,560 --> 01:00:51,560 Speaker 1: were like, how the fund is this guy still surviving 1169 01:00:51,560 --> 01:00:56,760 Speaker 1: all these controvers especially like with the Harry Potter Universe films, 1170 01:00:56,760 --> 01:00:59,600 Speaker 1: The Fantastic Beast things. Was funny because they were supposed 1171 01:00:59,640 --> 01:01:03,280 Speaker 1: to do panels at comic Con, and rather than subjecting 1172 01:01:03,360 --> 01:01:06,640 Speaker 1: him to the possibility of having to answer questions about 1173 01:01:06,720 --> 01:01:09,640 Speaker 1: being fucking Johnny Depp, they were like, you know what, 1174 01:01:09,760 --> 01:01:14,080 Speaker 1: let's just have you do a couple uh in character appearances. 1175 01:01:14,160 --> 01:01:16,920 Speaker 1: That way you can just be some guy who totally 1176 01:01:17,000 --> 01:01:22,160 Speaker 1: doesn't know of this man depth. They speak so funny that, like, here, 1177 01:01:22,240 --> 01:01:25,760 Speaker 1: let's soften your image by having you be proto Voldemort, 1178 01:01:26,000 --> 01:01:28,360 Speaker 1: the ultimate evil that needs to be destroyed. I think 1179 01:01:29,000 --> 01:01:30,840 Speaker 1: you are pretty off putting right now, but the kids 1180 01:01:30,880 --> 01:01:33,080 Speaker 1: are gonna love this. But just come in character as 1181 01:01:33,120 --> 01:01:37,560 Speaker 1: this other evil far I know not of the spouse abuse. 1182 01:01:40,320 --> 01:01:42,280 Speaker 1: What's a spell to forget stuff? I've never seen a 1183 01:01:42,360 --> 01:01:47,200 Speaker 1: Harry Potter thing, but they would be like it would 1184 01:01:47,240 --> 01:01:49,880 Speaker 1: have been a really great drop right now though, Yeah amnesius, 1185 01:01:50,280 --> 01:01:52,320 Speaker 1: Yeah that sounds right. Yeah, there we go, just make 1186 01:01:52,400 --> 01:01:54,280 Speaker 1: something sound like a Latin word. I feel like that 1187 01:01:54,600 --> 01:01:58,919 Speaker 1: stupid nerds should you dorks all like as you crying 1188 01:01:59,000 --> 01:02:02,280 Speaker 1: to hear your Harry Potter? But yeah he just yeah 1189 01:02:02,320 --> 01:02:06,560 Speaker 1: he's God again. I'm well, I'm surprised that they were 1190 01:02:06,640 --> 01:02:09,040 Speaker 1: still hanging on to him. With that fantastic past, because 1191 01:02:09,040 --> 01:02:10,680 Speaker 1: even J. K Rowling was like, well, he's an adult 1192 01:02:10,720 --> 01:02:12,400 Speaker 1: and they handled that. So that's that. And everyone's like, 1193 01:02:14,080 --> 01:02:18,080 Speaker 1: especially because that's such an easy fix, it's really really 1194 01:02:18,120 --> 01:02:20,600 Speaker 1: easy to just like Grundwald looks like this. Now he 1195 01:02:20,600 --> 01:02:22,480 Speaker 1: doesn't look like Johnny Depp anymore, because we already know 1196 01:02:22,520 --> 01:02:24,880 Speaker 1: that he can change forms. He's done it, so just 1197 01:02:24,960 --> 01:02:31,680 Speaker 1: be like, look, it's it's Paula. He seems pretty harmless, right, 1198 01:02:36,520 --> 01:02:39,840 Speaker 1: Christopher Plumber maybe yeah, right exactly, He's like, a please, 1199 01:02:40,240 --> 01:02:42,120 Speaker 1: I can't keep doing this. Guy doesn't need to read 1200 01:02:42,120 --> 01:02:43,440 Speaker 1: a script for the rest of his life. He just 1201 01:02:43,520 --> 01:02:45,600 Speaker 1: needs to wait for the other dominoes to fall and 1202 01:02:45,640 --> 01:02:50,760 Speaker 1: they call him. Uh and finally Movie Pass four one 1203 01:02:50,760 --> 01:02:54,120 Speaker 1: out to movie Pass guys. Yeah they really they hit 1204 01:02:54,120 --> 01:02:57,439 Speaker 1: a wall. Yeah they so, after running out of money 1205 01:02:57,480 --> 01:03:01,600 Speaker 1: a couple of weeks ago, they have now downgraded their 1206 01:03:01,720 --> 01:03:05,720 Speaker 1: unlimited movie pass, which was the whole idea of the 1207 01:03:05,760 --> 01:03:08,520 Speaker 1: whole business model was you can see all the movies 1208 01:03:08,560 --> 01:03:11,920 Speaker 1: you want. You can just if you don't have a 1209 01:03:12,000 --> 01:03:14,280 Speaker 1: place to go, you can just hang out in movie 1210 01:03:14,280 --> 01:03:17,800 Speaker 1: theaters for the day. Essentially, now you get to see 1211 01:03:18,080 --> 01:03:23,280 Speaker 1: three movies a month, hot damn three moving pictures, three 1212 01:03:23,320 --> 01:03:27,160 Speaker 1: whole movies. But the funny thing, but they're also like 1213 01:03:27,240 --> 01:03:30,560 Speaker 1: blacking out popular movies, so like, yeah, mission impossible. You're 1214 01:03:30,560 --> 01:03:32,640 Speaker 1: gonna have to wait on that one. I mean, it's 1215 01:03:32,680 --> 01:03:34,400 Speaker 1: a shame because there was a way to do this 1216 01:03:34,440 --> 01:03:36,960 Speaker 1: business model better. When I grew up, we had like 1217 01:03:37,000 --> 01:03:39,200 Speaker 1: the main movie theater, and we also had the two 1218 01:03:39,240 --> 01:03:41,800 Speaker 1: dollar movie theater, which is a worse theater and you 1219 01:03:41,840 --> 01:03:45,360 Speaker 1: get the movies way later, but it's two dollars. If 1220 01:03:45,400 --> 01:03:48,080 Speaker 1: movie passages come out and it was like unlimited movies 1221 01:03:48,560 --> 01:03:51,480 Speaker 1: one month after their release, that's a business model that 1222 01:03:51,480 --> 01:03:54,040 Speaker 1: could sustain for I think a very long time. The 1223 01:03:54,080 --> 01:03:57,120 Speaker 1: fact that right out the gate they were saying unlimited 1224 01:03:57,120 --> 01:03:59,560 Speaker 1: movies and everyone in the world was allowed to get it. 1225 01:03:59,640 --> 01:04:01,240 Speaker 1: And it's like, yeah, you're gonna make this thing that's 1226 01:04:01,280 --> 01:04:03,720 Speaker 1: too good to be true because it's not true, and 1227 01:04:03,760 --> 01:04:05,240 Speaker 1: then you're gonna have to scale it back and people 1228 01:04:05,280 --> 01:04:06,880 Speaker 1: are gonna be mad when you're scaling it back. But 1229 01:04:06,920 --> 01:04:08,920 Speaker 1: if you start small, it seems like you have a 1230 01:04:08,920 --> 01:04:11,960 Speaker 1: lot of room for this to be a reasonable business model, 1231 01:04:12,160 --> 01:04:15,400 Speaker 1: right if you if you didn't view yourself as like 1232 01:04:15,480 --> 01:04:19,040 Speaker 1: the next Netflix, which every statement from the CEO, Mitchlow 1233 01:04:19,360 --> 01:04:21,280 Speaker 1: is just him being like, well, you see, I mean 1234 01:04:21,520 --> 01:04:25,000 Speaker 1: as Netflix, U sometimes you can't see a certain movie 1235 01:04:25,000 --> 01:04:28,320 Speaker 1: on Netflix. That's how we are. And it's like now 1236 01:04:28,400 --> 01:04:34,120 Speaker 1: you're not. You are maybe a movie version of Group 1237 01:04:34,200 --> 01:04:37,400 Speaker 1: On or something like. Yeah. And his quotes are amazing 1238 01:04:37,400 --> 01:04:39,880 Speaker 1: because like, there after they announced that they went from 1239 01:04:39,920 --> 01:04:42,880 Speaker 1: unlimited to three them not even one a week, he 1240 01:04:43,000 --> 01:04:44,920 Speaker 1: was saying it's like, you know, it's not going to 1241 01:04:45,000 --> 01:04:47,480 Speaker 1: affect their users, and quote, they will not be affected 1242 01:04:47,480 --> 01:04:49,840 Speaker 1: at all by this program, and even better, they'll stop 1243 01:04:49,880 --> 01:04:53,800 Speaker 1: hearing movie passes going out of business and that's their 1244 01:04:53,840 --> 01:04:56,360 Speaker 1: top concern. Yeah, because I'm like, oh god, the thing 1245 01:04:56,440 --> 01:04:58,280 Speaker 1: that I hate about having a movie pass is here 1246 01:04:58,320 --> 01:05:00,200 Speaker 1: about how's going to go out of business? It's not 1247 01:05:00,200 --> 01:05:02,280 Speaker 1: because when I show up, I can't see the movie 1248 01:05:02,600 --> 01:05:05,320 Speaker 1: that I was promised by paying into the fucking service. 1249 01:05:05,760 --> 01:05:08,919 Speaker 1: So hey, the guy understands his audience. Yeah, if there's 1250 01:05:08,960 --> 01:05:12,240 Speaker 1: one thing they hit, it's bad press about movie ress. Well, 1251 01:05:12,240 --> 01:05:13,720 Speaker 1: and then I guess, but that makes sense because he 1252 01:05:13,760 --> 01:05:16,640 Speaker 1: also went on to say that like of movie pass 1253 01:05:16,720 --> 01:05:19,600 Speaker 1: users see three or fewer movies a month, So I 1254 01:05:19,640 --> 01:05:21,760 Speaker 1: guess it won't totally affect it there only I guess, 1255 01:05:21,840 --> 01:05:24,640 Speaker 1: like the real rabid movie past, people are paying like 1256 01:05:24,760 --> 01:05:28,400 Speaker 1: you know, it's on. But that's why the AMC one 1257 01:05:28,440 --> 01:05:32,480 Speaker 1: looks good though too. You know, three movies fucking weak 1258 01:05:33,080 --> 01:05:35,080 Speaker 1: and boom you the chances are with the way that 1259 01:05:35,120 --> 01:05:38,200 Speaker 1: they have a fucking stranglehold on on theaters. Now you've 1260 01:05:38,320 --> 01:05:41,040 Speaker 1: lived by an AMC. Yeah, and I think that the 1261 01:05:41,120 --> 01:05:44,080 Speaker 1: idea is that it's cool to be able to see 1262 01:05:44,120 --> 01:05:47,120 Speaker 1: more than three. It's it's cool to have the unlimited thing. 1263 01:05:47,440 --> 01:05:50,280 Speaker 1: Of course, for for the movie pass users, I think 1264 01:05:50,320 --> 01:05:52,280 Speaker 1: that was a big part of the attraction. So oh yeah, 1265 01:05:52,280 --> 01:05:55,120 Speaker 1: because in my mind, I'm like, wait to potentially see 1266 01:05:55,280 --> 01:05:59,000 Speaker 1: four hundred dollars worth, like that's a deal, but in 1267 01:05:59,040 --> 01:06:02,600 Speaker 1: my mind like three a month, even though it's clearly 1268 01:06:03,280 --> 01:06:07,840 Speaker 1: less than the ticket. Uh. People are saying it might 1269 01:06:07,840 --> 01:06:12,600 Speaker 1: be sort of the napster of the movie ticket buying 1270 01:06:12,680 --> 01:06:15,880 Speaker 1: experience where this is gonna clearly go out of business 1271 01:06:16,440 --> 01:06:20,000 Speaker 1: because Mitch Lowe, uh, you know, had a high opinion 1272 01:06:20,040 --> 01:06:22,600 Speaker 1: of himself. But this is going to change how people 1273 01:06:22,640 --> 01:06:25,600 Speaker 1: buy movie tickets coming forward. You've given people a taste 1274 01:06:25,600 --> 01:06:27,200 Speaker 1: of this thing, and they want it and someone else 1275 01:06:27,200 --> 01:06:28,680 Speaker 1: will figure out how to do it, do it the 1276 01:06:28,760 --> 01:06:31,520 Speaker 1: right way. They're like, okay, so they clearly fuck that up, 1277 01:06:31,560 --> 01:06:34,440 Speaker 1: so let's just do this alright. Well, Daniel, it's been 1278 01:06:34,760 --> 01:06:38,160 Speaker 1: a pleasure having you. It's always really really flies by. 1279 01:06:38,280 --> 01:06:41,000 Speaker 1: Where can I Where can people find you? Who cares? 1280 01:06:41,000 --> 01:06:44,520 Speaker 1: Just a search around the UM, I guess I can 1281 01:06:44,600 --> 01:06:48,400 Speaker 1: plug launching a brand new podcast not on this network 1282 01:06:49,240 --> 01:06:51,800 Speaker 1: wants to check out, launching next week, I believe, for 1283 01:06:51,880 --> 01:06:54,280 Speaker 1: the week after. It's called Quick Question with Sore And 1284 01:06:54,280 --> 01:06:56,840 Speaker 1: and Daniel. It's hosted by me and Sore and Booie. 1285 01:06:57,440 --> 01:06:59,240 Speaker 1: We ask each other questions and we answered them. You 1286 01:06:59,240 --> 01:07:02,640 Speaker 1: can follows her q Q Underscore Sore and and Dan 1287 01:07:03,560 --> 01:07:08,800 Speaker 1: or Instagram Jesus Fucking Christ Q underscore with Underscore, Sore 1288 01:07:08,840 --> 01:07:12,880 Speaker 1: and Underscore and Underscore Daniel. Yes, this was set up 1289 01:07:12,920 --> 01:07:16,760 Speaker 1: by our mutual friend and former co worker, Michael Schrauer. 1290 01:07:16,800 --> 01:07:20,480 Speaker 1: Michael blame him for the worst Instagram handle anyone has 1291 01:07:20,480 --> 01:07:23,880 Speaker 1: ever shot. Yeah, I went to high school with him. Uh, 1292 01:07:24,120 --> 01:07:26,200 Speaker 1: what do you call him? Bacon? Right? Bacon? I was 1293 01:07:26,240 --> 01:07:28,680 Speaker 1: trying to refer like reference him in that name, and 1294 01:07:28,680 --> 01:07:31,840 Speaker 1: I was like, yeah, and and butter right, it's like 1295 01:07:32,120 --> 01:07:34,720 Speaker 1: what bacon. I'm like, man, when I knew him, he 1296 01:07:34,760 --> 01:07:38,400 Speaker 1: was stre old butter Bean. He doesn't want his last 1297 01:07:38,480 --> 01:07:40,520 Speaker 1: name to be using our podcast, so it's all bacon 1298 01:07:40,680 --> 01:07:44,680 Speaker 1: and sometimes business Daddy. Well, holler at me if you 1299 01:07:44,680 --> 01:07:46,240 Speaker 1: want some picks of him on the Notre Dame high 1300 01:07:46,240 --> 01:07:50,920 Speaker 1: school basketball team, I will embarrassing photos. Wait, he was 1301 01:07:50,960 --> 01:07:53,040 Speaker 1: on the Notre Dame basketball team on my high school. 1302 01:07:53,320 --> 01:07:57,080 Speaker 1: Oh fight, he ain't the fighting Irish man. Their podcast 1303 01:07:57,080 --> 01:08:00,360 Speaker 1: has a CFO. We gotta get to work. Yeah, Daniel, 1304 01:08:00,360 --> 01:08:03,120 Speaker 1: is there a tweet that you've been enjoying by any chance? Yeah, well, 1305 01:08:03,120 --> 01:08:05,480 Speaker 1: there's there's two. There's one recurring thing. I wish I 1306 01:08:05,520 --> 01:08:08,560 Speaker 1: knew who was the first person to make this observation. 1307 01:08:08,600 --> 01:08:12,080 Speaker 1: But so many people on Twitter will be like, man 1308 01:08:12,120 --> 01:08:13,800 Speaker 1: of work, going here is sort of like the prisoner 1309 01:08:13,840 --> 01:08:16,679 Speaker 1: for Askabad and going here, and someone will quote quote 1310 01:08:16,680 --> 01:08:19,599 Speaker 1: tweet that with I am begging you please read another 1311 01:08:19,680 --> 01:08:22,560 Speaker 1: fucking book because so many people are comparing things to 1312 01:08:22,560 --> 01:08:25,559 Speaker 1: Harry Potter and just I'm part of the exhausted army 1313 01:08:25,600 --> 01:08:27,880 Speaker 1: of people who are just like that's enough, let it go, 1314 01:08:28,520 --> 01:08:31,320 Speaker 1: like stop reaching um. But a more specific tweet that 1315 01:08:31,360 --> 01:08:34,360 Speaker 1: I loved um. This is from someone named at sort 1316 01:08:34,400 --> 01:08:38,160 Speaker 1: of bad uh and it's brackets takes exactly one puff 1317 01:08:38,200 --> 01:08:40,720 Speaker 1: of drugs and brackets. What if all of jay Z's 1318 01:08:40,720 --> 01:08:50,679 Speaker 1: problems for lift balloons? Miles Jack, where can people find you? 1319 01:08:50,680 --> 01:08:55,080 Speaker 1: You can find me on Twitter and Instagram at miles 1320 01:08:55,160 --> 01:08:58,760 Speaker 1: of Gray and a tweet that I am fucking with 1321 01:08:58,960 --> 01:09:01,639 Speaker 1: right now us from last one of last week's guest, 1322 01:09:01,720 --> 01:09:04,600 Speaker 1: Dave Ross at Dave le Ross, and he said postmates 1323 01:09:04,640 --> 01:09:08,680 Speaker 1: should be called comedians and cars getting coffee. I've got 1324 01:09:08,720 --> 01:09:12,240 Speaker 1: a comedian dating cards joke too, so I've got a 1325 01:09:12,240 --> 01:09:14,360 Speaker 1: I've got a couple of tweets. Oh no, she twittn't 1326 01:09:15,520 --> 01:09:19,120 Speaker 1: tweeted Info Wars wasn't even really banned from anywhere. It's 1327 01:09:19,160 --> 01:09:22,719 Speaker 1: all hoax and Alex Jones is a crisis actor. Katie 1328 01:09:22,720 --> 01:09:26,160 Speaker 1: Carresik tweeted I've literally never met a man who was 1329 01:09:26,240 --> 01:09:33,000 Speaker 1: not named Matt and Rody my goth name is Devoid 1330 01:09:33,439 --> 01:09:38,599 Speaker 1: is currently his Twitter handle. Rody Reid tweeted hurt people, 1331 01:09:38,840 --> 01:09:43,479 Speaker 1: hurt people in cars getting coffee, which I loved. You 1332 01:09:43,520 --> 01:09:46,400 Speaker 1: can follow me on Twitter at Jack Underscore O'Brien. You 1333 01:09:46,400 --> 01:09:49,280 Speaker 1: can follow us at Daily's like guys on Twitter, where 1334 01:09:49,320 --> 01:09:51,400 Speaker 1: at the Daily's like used on Instagram. We have a 1335 01:09:51,400 --> 01:09:54,040 Speaker 1: Facebook fan page and a website, Daily I guess dot 1336 01:09:54,040 --> 01:09:56,920 Speaker 1: com where we post our episode. You can also find 1337 01:09:56,960 --> 01:10:02,160 Speaker 1: our foot on the descript on iTunes of our podcast, 1338 01:10:02,320 --> 01:10:06,920 Speaker 1: so we'rewhere super accessible. That's where we link off to 1339 01:10:06,960 --> 01:10:09,720 Speaker 1: the information that we talked about in today's episode, as 1340 01:10:09,800 --> 01:10:11,879 Speaker 1: well as the song that we ride out on miles 1341 01:10:12,160 --> 01:10:15,679 Speaker 1: What does that kind of oh today, I'm just really 1342 01:10:16,120 --> 01:10:18,559 Speaker 1: I'm feeling like a nice Kruiverer type five, like well, 1343 01:10:18,560 --> 01:10:21,200 Speaker 1: I'm normally I am nine the songs that recommended like that. 1344 01:10:21,280 --> 01:10:23,880 Speaker 1: But this is a track from the Homies from Canada, 1345 01:10:23,960 --> 01:10:27,599 Speaker 1: Bad Bad, Not Good, really great band. Uh. This one's 1346 01:10:27,600 --> 01:10:31,240 Speaker 1: called Bookie number sixty nine. And yeah, they're just very 1347 01:10:31,280 --> 01:10:34,400 Speaker 1: talented musicians, young guys playing you know, they're like jazz dudes, 1348 01:10:34,439 --> 01:10:36,480 Speaker 1: but they're they're making it work, they're making it funky. 1349 01:10:36,560 --> 01:10:38,360 Speaker 1: And they also have an album with ghost Face Killer 1350 01:10:38,400 --> 01:10:40,680 Speaker 1: that's pretty good too. So check out this one, My Bad, Bad, 1351 01:10:40,880 --> 01:10:43,920 Speaker 1: not Good. What's the album with ghost Uh? If you 1352 01:10:44,000 --> 01:10:45,880 Speaker 1: just searched bad, Bad, not Good with ghost Face, it 1353 01:10:45,920 --> 01:10:48,599 Speaker 1: will come up. Alright, come bay, all right, we're gonna 1354 01:10:48,600 --> 01:10:51,040 Speaker 1: write out on that we will be back tomorrow because 1355 01:10:51,080 --> 01:14:17,880 Speaker 1: it is a daily podcast. We'll talk to you guys then. Bye. B.