1 00:00:00,080 --> 00:00:03,680 Speaker 1: Hello the Internet, and welcome to Season one, twenty three, 2 00:00:03,720 --> 00:00:07,960 Speaker 1: Episode one of dir Daily Night Guys production of I 3 00:00:08,119 --> 00:00:10,280 Speaker 1: Heart Radio. This is the podcast where we take a 4 00:00:10,320 --> 00:00:15,040 Speaker 1: deep dive into America's share consciousness and say, officially, off 5 00:00:15,080 --> 00:00:19,200 Speaker 1: the top, fuck the Koch Brothers and fuck Fox News. 6 00:00:19,360 --> 00:00:24,160 Speaker 1: It's Monday, March second. My name is Jack O'Brien a K. 7 00:00:24,840 --> 00:00:28,960 Speaker 1: Great Sweat Spectations a K. John dies at the trend 8 00:00:29,040 --> 00:00:33,040 Speaker 1: ak Wuthering Sites a K The Great Jacksbie a K. 9 00:00:33,400 --> 00:00:36,479 Speaker 1: The Catcher in o'bri a K. A Tale of two 10 00:00:36,560 --> 00:00:39,760 Speaker 1: Lyddy a K. A portrait of the artist has the 11 00:00:39,840 --> 00:00:43,479 Speaker 1: numb hands. That is courtesy of just t dd a 12 00:00:43,600 --> 00:00:46,320 Speaker 1: k S. I would have also accepted a portrait of 13 00:00:46,320 --> 00:00:50,080 Speaker 1: the artist has the dumb hands. Uh. Hung man as 14 00:00:50,120 --> 00:00:54,000 Speaker 1: a hungman? Yeah also work uh And I'm thrilled to 15 00:00:54,040 --> 00:00:58,160 Speaker 1: be joined as always by my co host, Mr Miles 16 00:00:58,200 --> 00:01:01,680 Speaker 1: Oh it's Miles Gray. Thank you to everybody in the 17 00:01:01,760 --> 00:01:05,800 Speaker 1: wonderful city of Toronto for making my a K of 18 00:01:06,319 --> 00:01:12,160 Speaker 1: a smoking weed with models great true come true, the 19 00:01:12,200 --> 00:01:17,360 Speaker 1: offerings of smoked meats, once biscuits, everything for Miles great. 20 00:01:17,520 --> 00:01:21,679 Speaker 1: Oh my goodness, the high We'll never I think I 21 00:01:21,760 --> 00:01:24,600 Speaker 1: might just have we just peeked smuggle my way back 22 00:01:24,600 --> 00:01:27,680 Speaker 1: into Ontario. But yeah, what a show, What a show, 23 00:01:28,080 --> 00:01:31,000 Speaker 1: What a what a time in Canada? Twenty four hours? 24 00:01:31,600 --> 00:01:34,200 Speaker 1: Uh and speaking of our time in Canada, we are 25 00:01:34,240 --> 00:01:38,479 Speaker 1: thrilled to be joined in our Toronto hotel room, which 26 00:01:38,520 --> 00:01:41,720 Speaker 1: is a big moment of all. But you you know 27 00:01:41,880 --> 00:01:46,160 Speaker 1: him as our writer Jamming Nam because that's his name, 28 00:01:46,600 --> 00:01:51,720 Speaker 1: is Mr jam McNay. What man, not too much? Thanks 29 00:01:51,720 --> 00:01:54,040 Speaker 1: for having me? Yeah, thanks for being here man, So 30 00:01:54,200 --> 00:01:58,000 Speaker 1: great to see you in person. Uh, most full disclosure. 31 00:01:58,080 --> 00:02:01,880 Speaker 1: I have never met you physically a few nights ago, 32 00:02:01,960 --> 00:02:05,640 Speaker 1: so this is all. I've been working with you for 33 00:02:05,640 --> 00:02:08,280 Speaker 1: like seven years. I feel like, I know, Yeah, it's crazy. 34 00:02:08,400 --> 00:02:10,560 Speaker 1: We've talked on the phone lots of times, but you 35 00:02:10,639 --> 00:02:12,840 Speaker 1: have to be here in person, in a hotel room 36 00:02:12,880 --> 00:02:16,720 Speaker 1: with the drapes closed, the whole other experience. I don't 37 00:02:16,760 --> 00:02:18,920 Speaker 1: know why Jack's wearing tissue boxes on his feet, but 38 00:02:20,040 --> 00:02:22,880 Speaker 1: I guess that's the ViBe's creating. And your nails are 39 00:02:23,280 --> 00:02:28,760 Speaker 1: grown out Suddenly I'm peeing in jars And yeah, did 40 00:02:28,760 --> 00:02:32,320 Speaker 1: he did? Howard? He was died mysteriously like I don't 41 00:02:32,320 --> 00:02:34,480 Speaker 1: think so, or like they just it wasn't publicized. He 42 00:02:34,680 --> 00:02:37,560 Speaker 1: lived a long time. He lived a mysteriously long time. 43 00:02:37,600 --> 00:02:41,000 Speaker 1: But he like went like into the chat completely retreated, 44 00:02:41,040 --> 00:02:44,160 Speaker 1: didn't he Like, I think people like flying around like 45 00:02:44,280 --> 00:02:47,280 Speaker 1: and wouldn't land. I think regardless of how he died, 46 00:02:47,320 --> 00:02:50,680 Speaker 1: people would be like that makes sense? Yeah, great, Yeah, 47 00:02:51,400 --> 00:02:53,720 Speaker 1: everything I know about Howard Hughes is informed by Mr 48 00:02:53,800 --> 00:02:58,120 Speaker 1: Burns in that one episode. Yeah you didn't see the Aviator, No, 49 00:02:58,919 --> 00:03:03,600 Speaker 1: because I did. It didn't look anything like Mr Burns 50 00:03:03,600 --> 00:03:05,280 Speaker 1: The Wave of the Future, the Wave of the Future, 51 00:03:05,320 --> 00:03:07,320 Speaker 1: Wave of the Future, Wave of the Future. He started 52 00:03:07,320 --> 00:03:09,560 Speaker 1: saying that although I did, I've done events at that 53 00:03:09,880 --> 00:03:13,320 Speaker 1: the hangar where he was building the hercules. Yeah, that's 54 00:03:13,360 --> 00:03:15,080 Speaker 1: like now just a relic in l A where they 55 00:03:15,080 --> 00:03:17,079 Speaker 1: just throw parties, because it's like, was it a made 56 00:03:17,120 --> 00:03:20,280 Speaker 1: up hangar? Like did they invent it for the did 57 00:03:20,280 --> 00:03:22,360 Speaker 1: they build it for the movie or no? No, No, 58 00:03:22,400 --> 00:03:26,000 Speaker 1: this was like the actual world, the actual hangars. You know, 59 00:03:26,120 --> 00:03:29,040 Speaker 1: people are like, it's the hangar from the Aviator, exactly 60 00:03:29,120 --> 00:03:34,639 Speaker 1: where's the rest? Well, here's here are several jars. Right, yeah, well, jam, 61 00:03:35,080 --> 00:03:38,280 Speaker 1: it's it's great to have you here. Uh, we're gonna 62 00:03:38,360 --> 00:03:40,600 Speaker 1: get to know you a little bit better in a moment. First, 63 00:03:40,640 --> 00:03:44,280 Speaker 1: we're gonna tell our listeners a couple of things we're 64 00:03:44,280 --> 00:03:47,520 Speaker 1: talking about. We're gonna talk about from the end of 65 00:03:47,600 --> 00:03:50,040 Speaker 1: last week. We didn't get a chance to discuss the 66 00:03:50,040 --> 00:03:53,840 Speaker 1: fact that Tom Styre knows you can't stand it, dick 67 00:03:53,920 --> 00:03:57,880 Speaker 1: banned it, dumb landed all over your planet. Uh. We're 68 00:03:57,880 --> 00:04:02,000 Speaker 1: gonna talk about Trump's coronavirus, you know, using the word hoax, 69 00:04:02,320 --> 00:04:05,520 Speaker 1: and in relation to uh, the fact that people are 70 00:04:05,800 --> 00:04:10,240 Speaker 1: being critical of his handling. We're gonna talk about a 71 00:04:10,240 --> 00:04:15,640 Speaker 1: new whistleblower. We're going to talk about how Bernie is. 72 00:04:15,800 --> 00:04:19,279 Speaker 1: So we're full disclosure. We don't know the outcome of 73 00:04:19,560 --> 00:04:23,520 Speaker 1: the South Carolina primary as of this recording because we're 74 00:04:23,520 --> 00:04:28,200 Speaker 1: in Canada and news travel slowly across the border, so 75 00:04:28,279 --> 00:04:31,400 Speaker 1: we don't know what happened yet in the South Carolina primary. 76 00:04:31,720 --> 00:04:34,600 Speaker 1: But I did want to talk about the fact that 77 00:04:34,720 --> 00:04:40,000 Speaker 1: Bernie's win in Nevada caused Biden to surge. Had an 78 00:04:40,040 --> 00:04:43,000 Speaker 1: interesting article about that. So we'll talk about that, and 79 00:04:43,000 --> 00:04:45,240 Speaker 1: then we're gonna talk about something I know. We'll get 80 00:04:45,240 --> 00:04:49,560 Speaker 1: to the bagel rito, to the bagel burrito, uh, and 81 00:04:49,800 --> 00:04:53,640 Speaker 1: I want to talk to you it's not just clever name. 82 00:04:53,839 --> 00:04:54,960 Speaker 1: And then I want to talk to you about the 83 00:04:54,960 --> 00:04:58,360 Speaker 1: invisible Man. And he saw it, which I didn't even 84 00:04:58,360 --> 00:05:04,599 Speaker 1: know it's possible to see the invisible man. But dad, joke, Dad, Hey, 85 00:05:04,640 --> 00:05:10,560 Speaker 1: I'm on fire. But jam first, seriously put me out. Uh, 86 00:05:11,279 --> 00:05:13,400 Speaker 1: jam first. We like to ask our guess, what's something 87 00:05:13,440 --> 00:05:16,880 Speaker 1: from your search history that's revealing about who you are? Okay, Well, 88 00:05:17,040 --> 00:05:21,479 Speaker 1: I wanted to talk about something kind of Canadian with 89 00:05:21,560 --> 00:05:24,080 Speaker 1: you guys, and I had something in the back of 90 00:05:24,120 --> 00:05:29,279 Speaker 1: my mind that I remember someone saying that I never investigated. 91 00:05:29,920 --> 00:05:33,960 Speaker 1: So I searched the other day. Was Jack the Ripper Canadian? 92 00:05:35,080 --> 00:05:37,719 Speaker 1: Because I thought someone told me that at a party 93 00:05:37,839 --> 00:05:41,240 Speaker 1: or something. It was and I looked it up and 94 00:05:41,279 --> 00:05:44,280 Speaker 1: there is like a guy that some people think could 95 00:05:44,279 --> 00:05:46,880 Speaker 1: have been Jack the Ripper who was He was born 96 00:05:46,880 --> 00:05:49,760 Speaker 1: in Scotland, but he was raised in Canada and he 97 00:05:49,839 --> 00:05:53,840 Speaker 1: was educated here. He became a doctor and he was 98 00:05:53,880 --> 00:05:59,120 Speaker 1: eventually arrested and executed in England for for poisoning women. 99 00:05:59,680 --> 00:06:03,479 Speaker 1: Huh uh. But the reason, the main reason why they 100 00:06:03,560 --> 00:06:06,920 Speaker 1: think he was Jack the Ripper is because as they 101 00:06:06,960 --> 00:06:12,120 Speaker 1: were hanging him in public, just before you know, the 102 00:06:12,120 --> 00:06:15,520 Speaker 1: trapdoor opened and he hung. He said I am Jack 103 00:06:16,400 --> 00:06:19,240 Speaker 1: and then and then he hung to death. That he 104 00:06:19,240 --> 00:06:21,000 Speaker 1: was strangled, so he never got to finish it. But 105 00:06:21,120 --> 00:06:24,279 Speaker 1: people based on that account that said that's what he said. 106 00:06:24,560 --> 00:06:26,600 Speaker 1: I wonder if he was going to confess to the 107 00:06:26,680 --> 00:06:30,599 Speaker 1: Jack the Ripper killings. Now there's a going to say 108 00:06:30,640 --> 00:06:34,320 Speaker 1: I am Jack's dull life and quote fight club. Yeah, 109 00:06:34,320 --> 00:06:37,760 Speaker 1: he was a big fight club fan. Yeah, his name 110 00:06:37,800 --> 00:06:42,279 Speaker 1: wasn't Jack. I know, his name was Thomas Cream, which 111 00:06:42,279 --> 00:06:48,320 Speaker 1: sounds made up like that. And he uh. The only 112 00:06:48,560 --> 00:06:50,640 Speaker 1: sort of hiccup in the story as he was in 113 00:06:50,839 --> 00:06:54,919 Speaker 1: jacking off as he said, I am jacking off people, 114 00:06:55,320 --> 00:07:00,200 Speaker 1: well you say that as a joke. But one of 115 00:07:00,240 --> 00:07:02,560 Speaker 1: the theories as to what he might have been saying, 116 00:07:02,960 --> 00:07:05,680 Speaker 1: one of his biographers said that he thinks he may have, 117 00:07:05,839 --> 00:07:10,280 Speaker 1: in that moment of strangulation, lost control of his body 118 00:07:10,320 --> 00:07:14,400 Speaker 1: functions and he might have actually been saying I'm ejaculating, oh, 119 00:07:15,840 --> 00:07:24,120 Speaker 1: which is like an oh, no one wins in this whatever. 120 00:07:25,440 --> 00:07:27,400 Speaker 1: But he he was in jail during some of the 121 00:07:27,480 --> 00:07:30,200 Speaker 1: killings in the in London, so they we don't really 122 00:07:30,240 --> 00:07:31,880 Speaker 1: think he wouldn't that be a point of pride to 123 00:07:31,920 --> 00:07:35,120 Speaker 1: say Jack the Ripper was Canadian. I wonder, yeah, like 124 00:07:35,160 --> 00:07:37,760 Speaker 1: I wonder if we would lose our politeness credit. Yeah, 125 00:07:37,800 --> 00:07:41,080 Speaker 1: it was like if everyone had that in their subconscious, 126 00:07:41,120 --> 00:07:43,480 Speaker 1: like yeah, we got that in this Yeah. I feel 127 00:07:43,480 --> 00:07:45,920 Speaker 1: like it would definitely make Canada like a little bit 128 00:07:46,120 --> 00:07:49,600 Speaker 1: I don't know, anderous, little edgy. Yeah, yeah, but it's 129 00:07:49,640 --> 00:07:52,840 Speaker 1: kind of like balanced up by like Martin Short, yes, 130 00:07:54,960 --> 00:07:59,240 Speaker 1: also a national treasure. What is something you think is overrated? Overrated? 131 00:07:59,560 --> 00:08:04,800 Speaker 1: I'm going to say texting? Texting, because it just occurred 132 00:08:04,840 --> 00:08:07,040 Speaker 1: to me the other day that when I was a kid, 133 00:08:07,920 --> 00:08:10,440 Speaker 1: the big thing was like video phones, Like I remember 134 00:08:10,480 --> 00:08:13,560 Speaker 1: seeing video phones like radio shack for a thousand dollars 135 00:08:13,680 --> 00:08:16,320 Speaker 1: or you know, in movies there's always video phones. And 136 00:08:16,320 --> 00:08:18,720 Speaker 1: it's just occurred to me that we're always constantly sending 137 00:08:18,720 --> 00:08:22,720 Speaker 1: each other like electronic telegraphs basically just because we're too 138 00:08:22,720 --> 00:08:25,920 Speaker 1: anxious to actually see each other face to face or 139 00:08:26,000 --> 00:08:28,280 Speaker 1: talk to each other. Like if you if you just 140 00:08:28,400 --> 00:08:30,920 Speaker 1: randomly face time to friend, they would call the police. 141 00:08:31,080 --> 00:08:33,520 Speaker 1: Yeah I would. I would just be like, what is 142 00:08:33,600 --> 00:08:36,560 Speaker 1: wrong with them? If it's not a family member, Like 143 00:08:36,679 --> 00:08:39,520 Speaker 1: I only expect facetimes, Like I know when to expect 144 00:08:39,520 --> 00:08:42,959 Speaker 1: to FaceTime, not even like outside of hey, facetiming like 145 00:08:43,040 --> 00:08:45,640 Speaker 1: certain times like my birthday, if I get it from 146 00:08:45,640 --> 00:08:48,840 Speaker 1: aunt or something. Fine, Like I get that out of 147 00:08:48,880 --> 00:08:52,120 Speaker 1: the blue from like like a friend from high school, 148 00:08:52,160 --> 00:08:55,640 Speaker 1: I'm like, what the funk is this manner? How are 149 00:08:55,640 --> 00:08:57,480 Speaker 1: you trying to invade my life? At the moment, I 150 00:08:57,480 --> 00:09:01,120 Speaker 1: have but faced time to people before. That's way more embarrassing. 151 00:09:01,360 --> 00:09:04,880 Speaker 1: But dialing people, Yeah that Yeah, you just sit on 152 00:09:04,960 --> 00:09:07,120 Speaker 1: your phone like you literally were just setting it off. 153 00:09:07,120 --> 00:09:08,600 Speaker 1: And I don't think it was Yeah, I think it 154 00:09:08,679 --> 00:09:11,840 Speaker 1: was in my pocket. And then I think one time 155 00:09:11,880 --> 00:09:16,880 Speaker 1: my one year old had my phone and like facetimes somebody, 156 00:09:17,120 --> 00:09:21,400 Speaker 1: and yeah, it was like, oh sorry, that's like a 157 00:09:21,480 --> 00:09:24,120 Speaker 1: really awkward Sorry, my baby is trying to communicate with you. 158 00:09:24,760 --> 00:09:28,800 Speaker 1: But yeah, I I definitely prefer facetiming. I FaceTime my 159 00:09:28,880 --> 00:09:33,120 Speaker 1: family all the time from from the road, you know, yeah, 160 00:09:33,240 --> 00:09:35,640 Speaker 1: turn the page, man, We're just a couple of road dugs. 161 00:09:37,120 --> 00:09:40,000 Speaker 1: Just never know, these kids grow up so damn quick, man. 162 00:09:40,480 --> 00:09:42,600 Speaker 1: You know what I mean, you're basically living the lives 163 00:09:42,640 --> 00:09:47,760 Speaker 1: of like old like old Budvillians. Yeah, you're just duo 164 00:09:47,960 --> 00:09:52,400 Speaker 1: traveling from town to town. Yeah, exactly, and you know, 165 00:09:52,600 --> 00:09:55,000 Speaker 1: very physical, a lot of physical comedy, a lot of 166 00:09:55,880 --> 00:09:59,160 Speaker 1: yeah that's straw hat you wear on stage, Yeah, a 167 00:09:59,200 --> 00:10:01,240 Speaker 1: lot of tumbling. Yeah, and it comes out with the 168 00:10:01,240 --> 00:10:03,679 Speaker 1: old hook Yeah when you do a dad joke. I mean, 169 00:10:03,679 --> 00:10:05,959 Speaker 1: it's all, it's all very it's all. Yeah, you guys 170 00:10:06,000 --> 00:10:09,160 Speaker 1: missed it. If you missed out, you really missed out. 171 00:10:09,760 --> 00:10:13,080 Speaker 1: What is something you think is underrated? Underrated? The first 172 00:10:13,120 --> 00:10:15,680 Speaker 1: thing that came to mind for me was, you guys 173 00:10:15,760 --> 00:10:20,120 Speaker 1: remember the show American Vandal. Yeah, the Netflix. Yeah, it's 174 00:10:20,120 --> 00:10:22,000 Speaker 1: crazy to say it's underrated because it like won a 175 00:10:22,040 --> 00:10:28,240 Speaker 1: Peabody Award. Yeah, it's won a Peabody Award for Media 176 00:10:28,360 --> 00:10:31,560 Speaker 1: or something. But it's a legitimately great show that you 177 00:10:31,600 --> 00:10:33,960 Speaker 1: never hear about. And it was I looked into it. 178 00:10:33,960 --> 00:10:38,120 Speaker 1: It was only canceled by Netflix because Netflix didn't own 179 00:10:38,160 --> 00:10:41,960 Speaker 1: it outright. It was like another studio produced it and 180 00:10:42,000 --> 00:10:45,160 Speaker 1: they started making, you know, there their content that they 181 00:10:45,200 --> 00:10:47,760 Speaker 1: own a pent so they could use it for all 182 00:10:47,840 --> 00:10:49,760 Speaker 1: time forever. So I don't know, it's just kind of 183 00:10:49,760 --> 00:10:51,880 Speaker 1: a bummer. It was a really good show. Was season 184 00:10:51,920 --> 00:10:54,560 Speaker 1: two great. I didn't get I saw the first episode 185 00:10:54,600 --> 00:10:57,080 Speaker 1: and I was like, all right, I really liked the 186 00:10:57,120 --> 00:10:59,640 Speaker 1: first season rather than the second season. What happened in 187 00:10:59,679 --> 00:11:03,200 Speaker 1: season too is even better. Yeah, it's a laxative. It's 188 00:11:03,240 --> 00:11:07,480 Speaker 1: called the brown Out where basically someone spikes uh the 189 00:11:07,520 --> 00:11:13,880 Speaker 1: school's juice supply with laxatives. Same school, Uh No, different school. 190 00:11:14,000 --> 00:11:17,440 Speaker 1: The school basically hires the kids to the same kids. Yeah, 191 00:11:17,600 --> 00:11:19,880 Speaker 1: and who solved the first mystery? And also in the 192 00:11:19,920 --> 00:11:22,360 Speaker 1: world of the show, like, the first season was a 193 00:11:22,440 --> 00:11:26,200 Speaker 1: hit documentary series on Netflix, so they have all this 194 00:11:26,320 --> 00:11:28,960 Speaker 1: money and cloud now, so they re enact things with 195 00:11:29,040 --> 00:11:34,800 Speaker 1: computer graphics next level. Yeah, so even better than season 196 00:11:35,000 --> 00:11:39,040 Speaker 1: I think it is yea, and it actually tries to Yeah. 197 00:11:39,080 --> 00:11:41,920 Speaker 1: I love when one of our underrated actually gives us 198 00:11:41,960 --> 00:11:44,480 Speaker 1: like something to go do. This is great. Yeah. And 199 00:11:44,520 --> 00:11:46,840 Speaker 1: if you haven't seen American Vandal and you like true 200 00:11:46,840 --> 00:11:50,400 Speaker 1: crime and comedy, you should watch it because it threads 201 00:11:50,400 --> 00:11:54,079 Speaker 1: the needle perfectly for something so dumb. The first season 202 00:11:54,200 --> 00:11:57,400 Speaker 1: is like who drew all these dicks on ship? Who 203 00:11:57,600 --> 00:12:01,080 Speaker 1: was it? And just the process of elimination of like 204 00:12:01,120 --> 00:12:04,640 Speaker 1: treating that so seriously man, And some of the characters 205 00:12:04,640 --> 00:12:09,040 Speaker 1: are so real, like just so balls, just completely accurate 206 00:12:09,080 --> 00:12:11,960 Speaker 1: balls on literally Finally, what is a meth? What's something 207 00:12:11,960 --> 00:12:13,839 Speaker 1: people think is true? You know to be false? Sir, 208 00:12:14,720 --> 00:12:18,280 Speaker 1: I wanted to throw out another kind of Canadian centric thing. Yeah, 209 00:12:18,320 --> 00:12:22,920 Speaker 1: what would you guys guess? Is Canada's national sport hockey? 210 00:12:23,120 --> 00:12:27,720 Speaker 1: Right you think that? No, Well, it's kind of hockey. 211 00:12:27,760 --> 00:12:35,360 Speaker 1: But historically it was always lacrosse the cross which no, 212 00:12:35,559 --> 00:12:41,520 Speaker 1: lacrosse was the national game until the sixties when, uh, 213 00:12:41,880 --> 00:12:45,720 Speaker 1: some guy in parliament decided that it should be hockey. 214 00:12:46,040 --> 00:12:48,440 Speaker 1: So we introduced a bill to legally make hockey the 215 00:12:48,640 --> 00:12:51,679 Speaker 1: national sport. And then the apparently there was like a 216 00:12:51,760 --> 00:12:54,800 Speaker 1: lacrosse lobby that got piste off about this, so they 217 00:12:54,800 --> 00:12:57,079 Speaker 1: got another member of parliament to introduce a bill to 218 00:12:57,120 --> 00:13:00,800 Speaker 1: make lacross the legal national sport. And apparently this is 219 00:13:00,840 --> 00:13:03,560 Speaker 1: a thing that happened. It was a big deal and 220 00:13:03,600 --> 00:13:05,920 Speaker 1: they kind of negated each other and nothing happened until 221 00:13:05,960 --> 00:13:09,280 Speaker 1: the nineties when someone made it law that lacrosse could 222 00:13:09,320 --> 00:13:13,040 Speaker 1: be the national summer game and hockey could be the 223 00:13:13,120 --> 00:13:17,960 Speaker 1: national winter game. So it's it's kind of lacrosse kind 224 00:13:17,960 --> 00:13:20,400 Speaker 1: of they gave hockey a bit of it in the end. 225 00:13:20,440 --> 00:13:26,160 Speaker 1: Are there like general political association. Like in America, you know, 226 00:13:26,760 --> 00:13:31,080 Speaker 1: football tends to have like sort of a right leaning 227 00:13:31,200 --> 00:13:35,600 Speaker 1: political baseball more than football, and baseball also has like 228 00:13:35,679 --> 00:13:38,440 Speaker 1: sort of a right leaning thing. And then the NBA 229 00:13:38,520 --> 00:13:43,840 Speaker 1: is more center left technocratic liberal. I feel like, uh, 230 00:13:43,960 --> 00:13:51,040 Speaker 1: and then I don't know what's leftist chess. Yeah, So 231 00:13:51,400 --> 00:13:57,240 Speaker 1: is lacrosse still popular though, like is it for decades? 232 00:13:57,520 --> 00:13:59,920 Speaker 1: There are like leagues I think, but not on the 233 00:14:00,120 --> 00:14:03,439 Speaker 1: same scale or no. No, it's it's a weird kind 234 00:14:03,440 --> 00:14:06,600 Speaker 1: of technicality. Lacrosse is weird in America too. It's kind 235 00:14:06,600 --> 00:14:10,480 Speaker 1: of like randomly distributed, Like it's like huge in New England. 236 00:14:10,480 --> 00:14:12,520 Speaker 1: I feel like it's big in New England, but it's 237 00:14:12,600 --> 00:14:16,560 Speaker 1: really big in like the DC, Maryland, Yeah, Baltimore area, 238 00:14:16,760 --> 00:14:20,480 Speaker 1: Like it's huge right in that region, right, and then 239 00:14:20,520 --> 00:14:22,800 Speaker 1: there's like some places out west where it's really big. 240 00:14:22,840 --> 00:14:25,840 Speaker 1: But it just seems kind of like, yeah, it's been 241 00:14:25,920 --> 00:14:29,240 Speaker 1: evangelized to some places I played because like I knew 242 00:14:29,480 --> 00:14:31,720 Speaker 1: a lot of kids when I played competitive hockey that 243 00:14:31,760 --> 00:14:33,640 Speaker 1: with me who lived in the East Coast. They're like, well, 244 00:14:33,640 --> 00:14:36,320 Speaker 1: when it's not cold, we're all playing lacrosse. Because it's 245 00:14:36,320 --> 00:14:39,120 Speaker 1: sort of similar not skill sets, but just sort of 246 00:14:39,120 --> 00:14:44,040 Speaker 1: practically similar things. But I tried playing once and I 247 00:14:44,160 --> 00:14:48,080 Speaker 1: was really bad with the sick whatever the funk you 248 00:14:48,160 --> 00:14:50,680 Speaker 1: call that thing. And I was like, man, funk this, 249 00:14:50,760 --> 00:14:54,280 Speaker 1: I'll go back to hockey. Yeah, you're sticking game, wasn't you? 250 00:14:54,320 --> 00:14:56,480 Speaker 1: Weren't I just you know, you should see me out 251 00:14:56,480 --> 00:14:59,360 Speaker 1: there in the nice nimble, nimble stick sucking risk shots 252 00:14:59,360 --> 00:15:03,120 Speaker 1: from the blue line. Wow. Yeah, that's how on point 253 00:15:03,120 --> 00:15:05,080 Speaker 1: my risk shot. Yeah you did go out for rip 254 00:15:05,160 --> 00:15:10,000 Speaker 1: last night, and yeah that was a great time. Yeah, 255 00:15:10,040 --> 00:15:12,160 Speaker 1: shout oh, shout out to the couple from Sudbury to 256 00:15:12,200 --> 00:15:18,120 Speaker 1: shout out to everybody building. Sorry, guys were still high 257 00:15:18,120 --> 00:15:23,560 Speaker 1: off the show last night. What what a crowd people? Yeah, 258 00:15:23,600 --> 00:15:26,320 Speaker 1: it was a lot of people. They were. They were rowdy. 259 00:15:27,000 --> 00:15:30,400 Speaker 1: Everyone's been rowdy. Yeah. They were amazing and just a 260 00:15:30,440 --> 00:15:33,640 Speaker 1: rowdy bunch all over the world, internationally known and locally respected. 261 00:15:34,600 --> 00:15:36,720 Speaker 1: It was like a rock concert. Yeah it was. They 262 00:15:37,040 --> 00:15:39,440 Speaker 1: were Honestly, I mean, Miles and I have seen a 263 00:15:39,480 --> 00:15:44,840 Speaker 1: million faces and we have rocked them. Oh sorry, that 264 00:15:44,920 --> 00:15:48,240 Speaker 1: was I just gave myself douche chills. All right, let's 265 00:15:48,760 --> 00:15:50,880 Speaker 1: let's let's take a quick break and we'll be right back, 266 00:16:01,200 --> 00:16:05,840 Speaker 1: and we're back, and uh, there's just kind of a 267 00:16:05,920 --> 00:16:09,080 Speaker 1: little snapshot in time that we got at the end 268 00:16:09,120 --> 00:16:13,480 Speaker 1: of last week. That was the closest I've ever seen 269 00:16:13,640 --> 00:16:16,560 Speaker 1: to reality, matching up with the part at the end 270 00:16:16,600 --> 00:16:19,400 Speaker 1: of Rosemary's Baby where she's like drugged him keeps like 271 00:16:19,440 --> 00:16:22,440 Speaker 1: looking up and like seeing these like snapshots from like 272 00:16:22,440 --> 00:16:27,240 Speaker 1: a party of Satanists, know that part, Like, Yeah, that's 273 00:16:27,280 --> 00:16:30,000 Speaker 1: what this evoked in my mind because it was a 274 00:16:30,080 --> 00:16:34,560 Speaker 1: juvenile concert they were performing back that ass up and 275 00:16:34,880 --> 00:16:38,880 Speaker 1: the camera just kept panning from juvenile over to Tom Styre, 276 00:16:39,400 --> 00:16:42,600 Speaker 1: I think Tom Starr's wife and one of his staffers 277 00:16:42,720 --> 00:16:47,560 Speaker 1: or his daughter, I don't know, dancing on stage like 278 00:16:48,200 --> 00:16:52,400 Speaker 1: badly but with complete abandon and it just seemed like 279 00:16:53,600 --> 00:16:58,800 Speaker 1: a complete fucking fever dream nightmare. Yeah, I mean apparently 280 00:16:58,840 --> 00:17:01,320 Speaker 1: that like there was nice food there. There was like 281 00:17:01,360 --> 00:17:05,080 Speaker 1: short there was a charcouterie stage, yeah, and like old 282 00:17:05,200 --> 00:17:10,880 Speaker 1: pork Panini's full potato bar. It was just like opulent. Yeah. 283 00:17:11,119 --> 00:17:13,359 Speaker 1: I mean, I'm not against it. I I root for 284 00:17:13,400 --> 00:17:17,639 Speaker 1: the Satanists. Some Rosemary's Baby satan this, but they just 285 00:17:17,640 --> 00:17:21,240 Speaker 1: want a baby just seeing I don't even know what 286 00:17:21,359 --> 00:17:25,479 Speaker 1: to fucking think man, Just Tom Stire awkwardly being like 287 00:17:25,760 --> 00:17:29,440 Speaker 1: I'm hip hoping everybody. Yeah, he was definitely dancing like 288 00:17:29,480 --> 00:17:32,399 Speaker 1: a politician, Like he kept like pointing to the crowd 289 00:17:32,520 --> 00:17:34,960 Speaker 1: like politicians always do. But that was like part of 290 00:17:34,960 --> 00:17:37,280 Speaker 1: his dance routine. It would be funny if it's like 291 00:17:37,320 --> 00:17:40,320 Speaker 1: wife just started busting it open on stage and they're like, 292 00:17:40,400 --> 00:17:44,959 Speaker 1: what Stire or whoever that woman was on stage? Uh? 293 00:17:45,080 --> 00:17:49,520 Speaker 1: And juvenile? Okay, I didn't realize he's Stire gang to 294 00:17:49,680 --> 00:17:52,639 Speaker 1: secure the bag man, Yeah, yeah, of course, like just 295 00:17:52,640 --> 00:17:55,959 Speaker 1: just secure the bag. Professional. He didn't even look like 296 00:17:56,000 --> 00:17:58,959 Speaker 1: he was out there, you know, just having a party 297 00:17:59,000 --> 00:18:01,920 Speaker 1: for this billionaire selection. Yeah, he was just thinking about 298 00:18:01,920 --> 00:18:04,679 Speaker 1: the speedboat. Yeah, that that party would get him right 299 00:18:04,760 --> 00:18:06,400 Speaker 1: right right, He's like, keep your eye on the price. 300 00:18:06,880 --> 00:18:09,240 Speaker 1: It was hard to watch. It felt like if someone 301 00:18:09,400 --> 00:18:14,000 Speaker 1: had granted my self consciousness sentience, it would be Tom 302 00:18:14,080 --> 00:18:17,080 Speaker 1: Styer dancing at that right right. It was just like 303 00:18:17,160 --> 00:18:20,080 Speaker 1: every like, that's why I don't dance, because that's what 304 00:18:20,480 --> 00:18:23,399 Speaker 1: plays in my head when I pictured myself dance. Yeah, 305 00:18:23,560 --> 00:18:27,200 Speaker 1: you can't dance like nobody's watching you like that that 306 00:18:27,520 --> 00:18:30,400 Speaker 1: he felt like he was dancing like everybody was watching, 307 00:18:30,600 --> 00:18:33,440 Speaker 1: and he just like had was fully aware of that, 308 00:18:33,480 --> 00:18:36,320 Speaker 1: which is how I always feel. I mean, I like, 309 00:18:36,359 --> 00:18:38,560 Speaker 1: I think, you know, he was like, Okay, Joe Biden 310 00:18:38,640 --> 00:18:41,919 Speaker 1: got Jim Clyburn to come out for him and endorse him. 311 00:18:41,040 --> 00:18:46,800 Speaker 1: Yeah right, well this is this was a big race 312 00:18:46,920 --> 00:18:49,679 Speaker 1: for style, right, he had kind of put all his 313 00:18:49,760 --> 00:18:55,480 Speaker 1: eggs in the Nevada and South Carolina baskets. Yeah. So, uh, 314 00:18:55,680 --> 00:18:59,679 Speaker 1: we'll see once the news reaches Canada how how that 315 00:18:59,800 --> 00:19:01,480 Speaker 1: ray went for him. I'm just gonna be a couple 316 00:19:01,520 --> 00:19:05,160 Speaker 1: of years now. I'm just curious if he realizes that 317 00:19:05,320 --> 00:19:11,920 Speaker 1: juvenile is not from South Carolina, like he's an your 318 00:19:11,960 --> 00:19:16,560 Speaker 1: boy from New Orleans. But hey, you know, uh so 319 00:19:17,280 --> 00:19:21,440 Speaker 1: coronavirus stuff. I feel like, uh, you know, it's probably 320 00:19:21,720 --> 00:19:24,639 Speaker 1: not the most fun story to hear us tracking because 321 00:19:24,680 --> 00:19:29,439 Speaker 1: it's just scary and nothing we can do about it. 322 00:19:29,480 --> 00:19:32,760 Speaker 1: And also we probably have it because we've been traveling NonStop. 323 00:19:33,000 --> 00:19:35,240 Speaker 1: I keep seeing these stories where people are like, yeah, 324 00:19:35,920 --> 00:19:40,440 Speaker 1: people cutting back on domestic travel and international travel, and 325 00:19:40,560 --> 00:19:45,320 Speaker 1: like companies aren't sending people anywhere anywhere. And we've been 326 00:19:45,800 --> 00:19:48,359 Speaker 1: like we've spent like half our time over the past 327 00:19:48,359 --> 00:19:52,320 Speaker 1: week on planes. Uh yeah, I don't know. I feel 328 00:19:52,320 --> 00:19:56,200 Speaker 1: okay though we've been We've just been destroying ourselves with 329 00:19:56,640 --> 00:20:02,160 Speaker 1: but greasy food which helps, and washing, washing my hands, 330 00:20:02,480 --> 00:20:05,840 Speaker 1: prayer and prayer. Yeah, we hold our hands. We hold 331 00:20:05,880 --> 00:20:09,600 Speaker 1: hands together. Uh, just miles and both hands. Let's lick 332 00:20:09,680 --> 00:20:17,240 Speaker 1: our palms. But anyways, Trump is keeping things interesting. At 333 00:20:17,280 --> 00:20:22,320 Speaker 1: a South Carolina rally, he let everyone know what's actually 334 00:20:22,359 --> 00:20:24,880 Speaker 1: going on with the coronavirus. It's just a lie by 335 00:20:24,920 --> 00:20:32,639 Speaker 1: the Democrats to smear him. Kind of was them fucking hoax? Y'all? Yes, great, God, 336 00:20:32,680 --> 00:20:36,440 Speaker 1: that would be great. I mean again, listen to his words. 337 00:20:36,960 --> 00:20:38,800 Speaker 1: Tell me if this doesn't, you know, get you to 338 00:20:38,880 --> 00:20:42,560 Speaker 1: completely realize, Oh yeah, this is probably of course. Now 339 00:20:42,600 --> 00:20:51,160 Speaker 1: the Democrats are politicizing the coronavirus, you know that virus. 340 00:20:51,280 --> 00:20:54,280 Speaker 1: That's funny. They're politicized or politicized. We did one of 341 00:20:54,280 --> 00:20:58,680 Speaker 1: the great jobs. You say, how's President Trump doing? They go, oh, 342 00:20:58,800 --> 00:21:01,960 Speaker 1: no good, no good. They have no clue. They don't 343 00:21:01,960 --> 00:21:04,640 Speaker 1: have any clue. They can't even count their votes in Iowa. 344 00:21:04,720 --> 00:21:10,760 Speaker 1: They can't even count the kid. Yea burnt burnt Democrats. Okay, 345 00:21:10,800 --> 00:21:14,840 Speaker 1: so the World Health Organization all over the world. Know, 346 00:21:15,040 --> 00:21:20,680 Speaker 1: just everyone is like, this is a problem. They're politicizing it. Yeah, okay, 347 00:21:20,920 --> 00:21:22,760 Speaker 1: they're doing it. I like it. Those we did one 348 00:21:22,760 --> 00:21:25,640 Speaker 1: of the great jobs. Yea, the great jobs. I wonder 349 00:21:25,880 --> 00:21:28,600 Speaker 1: maybe that'll be his like mission accomplished banner. We did 350 00:21:28,640 --> 00:21:34,560 Speaker 1: one of the great great jobs. We did great jobs. 351 00:21:35,200 --> 00:21:38,760 Speaker 1: Yeah with it with a complete own. Uh. This is 352 00:21:38,880 --> 00:21:43,800 Speaker 1: just it's that news is hitting. As you know, we're 353 00:21:43,800 --> 00:21:47,520 Speaker 1: starting to see cases of unknown origins popping up in 354 00:21:47,600 --> 00:21:51,840 Speaker 1: multiple states, which like when you read into it, that 355 00:21:51,920 --> 00:21:55,760 Speaker 1: means that these are people who are getting it who 356 00:21:55,880 --> 00:21:59,480 Speaker 1: haven't traveled and they don't like they don't know who 357 00:21:59,560 --> 00:22:01,960 Speaker 1: they got it from. Like there's nobody they were in 358 00:22:02,040 --> 00:22:05,199 Speaker 1: contact with that they know of who had traveled. So 359 00:22:05,240 --> 00:22:08,080 Speaker 1: it's just like, yeah, that's like community, like it's just 360 00:22:08,200 --> 00:22:10,960 Speaker 1: out there now, like people are just getting it. Yeah, 361 00:22:11,960 --> 00:22:14,320 Speaker 1: and it's just a hoax, y'all. I do like that. 362 00:22:14,760 --> 00:22:17,480 Speaker 1: It seems like Trump has fully become the mayor from 363 00:22:17,560 --> 00:22:20,440 Speaker 1: Jaws at this point. Oh my god. Yeah, it was 364 00:22:20,480 --> 00:22:23,200 Speaker 1: just like that, there's no problem. The economy is doing great, 365 00:22:23,480 --> 00:22:29,639 Speaker 1: Keep keep doing what you're doing. Um, And there there's 366 00:22:30,119 --> 00:22:35,240 Speaker 1: apparently a new whistleblower yeah, because we've got another whistleblower, 367 00:22:35,840 --> 00:22:39,520 Speaker 1: this one out of Health and Human Services, And this 368 00:22:39,560 --> 00:22:43,840 Speaker 1: one is basically after seeing how HHS officials were like 369 00:22:44,400 --> 00:22:48,560 Speaker 1: sent to Wuhan to like get Americans basically out of 370 00:22:48,560 --> 00:22:52,199 Speaker 1: the city. Um, and these people from HHS were not 371 00:22:52,280 --> 00:22:56,040 Speaker 1: given protective gear and we're not subsequently tested for the virus. 372 00:22:56,640 --> 00:22:59,040 Speaker 1: So they said, yeah, go to sick town, meet the 373 00:22:59,080 --> 00:23:02,080 Speaker 1: sick people, and bring them on back. But I don't know, 374 00:23:02,200 --> 00:23:03,600 Speaker 1: just bring them back. We don't know what's going on. 375 00:23:03,600 --> 00:23:06,840 Speaker 1: It probably here's some hand sanitizer. No, no, no, no no, no, 376 00:23:07,240 --> 00:23:10,000 Speaker 1: you don't need that actually no. But so this person 377 00:23:10,600 --> 00:23:14,560 Speaker 1: who like works in the Administration for Children and Families 378 00:23:15,080 --> 00:23:19,000 Speaker 1: like sort of specifically that subdivision, apparently like the officials 379 00:23:19,000 --> 00:23:23,320 Speaker 1: from the department retaliated against her by reassigning her, and 380 00:23:23,440 --> 00:23:25,800 Speaker 1: she claims that she was told that if she didn't 381 00:23:25,840 --> 00:23:28,440 Speaker 1: accept her new position by like March five or something, 382 00:23:28,480 --> 00:23:30,800 Speaker 1: that she would just be fired. Yeah. I mean it's 383 00:23:30,800 --> 00:23:35,200 Speaker 1: an active cover up already, like already like not even 384 00:23:35,240 --> 00:23:39,360 Speaker 1: that far into the crisis, and it's an active cover up, 385 00:23:39,600 --> 00:23:43,120 Speaker 1: and it's happening kind of on every level. Like there 386 00:23:43,240 --> 00:23:47,440 Speaker 1: was a health official who was booked onto every weekend 387 00:23:47,600 --> 00:23:51,280 Speaker 1: like morning show, and Pence made him cancel at all 388 00:23:51,680 --> 00:23:56,879 Speaker 1: because yeah, it's they're just completely in information lockdown. Uh, 389 00:23:56,920 --> 00:24:00,680 Speaker 1: this is all about controlling the image, but they don't 390 00:24:00,680 --> 00:24:02,920 Speaker 1: even have control of that at this point, like everything's 391 00:24:02,920 --> 00:24:05,919 Speaker 1: out there. People are like just reading the complaints. The 392 00:24:05,960 --> 00:24:09,320 Speaker 1: other allegations are that the Americans who were coming back 393 00:24:09,359 --> 00:24:13,520 Speaker 1: from Wuhan were like, there's Travis Air Force Base in Fairfield, California, 394 00:24:13,600 --> 00:24:18,240 Speaker 1: march Uh Air Reserve Base in Riverside, that those people 395 00:24:18,280 --> 00:24:22,360 Speaker 1: were greeted by HHS officials and who like they may 396 00:24:22,359 --> 00:24:26,080 Speaker 1: have been left without protection against coronavirus transmission as they 397 00:24:26,080 --> 00:24:28,720 Speaker 1: received these people, and then those people, the employees of 398 00:24:28,840 --> 00:24:32,480 Speaker 1: HHS took commercial flights around the country and we're just 399 00:24:32,520 --> 00:24:36,120 Speaker 1: staying in hotels. Yeah, it's just like there's nothing at 400 00:24:36,160 --> 00:24:38,879 Speaker 1: all that they did right. And they were saying that 401 00:24:38,960 --> 00:24:41,720 Speaker 1: even then, even when they talk about how they handled 402 00:24:41,960 --> 00:24:44,120 Speaker 1: not just the administration but in general, the cruise ship 403 00:24:44,560 --> 00:24:47,720 Speaker 1: that was docked, if they had actually evacuated people from 404 00:24:47,720 --> 00:24:50,239 Speaker 1: the ship a lot sooner, that there would have been 405 00:24:50,240 --> 00:24:53,840 Speaker 1: a lot less cases of people get like getting the illness. 406 00:24:54,600 --> 00:24:57,720 Speaker 1: So it's all very comforting I mean, we've been just 407 00:24:58,240 --> 00:25:01,080 Speaker 1: bathing in the ship stream of news for the past 408 00:25:01,119 --> 00:25:03,760 Speaker 1: three years, and there have been like a couple of 409 00:25:03,800 --> 00:25:08,479 Speaker 1: stories where I've involuntarily like said out loud, oh my god. 410 00:25:08,880 --> 00:25:12,760 Speaker 1: And that happened twice this morning when when I got 411 00:25:12,800 --> 00:25:14,600 Speaker 1: to the part where it was like and they just 412 00:25:14,640 --> 00:25:18,720 Speaker 1: sent him around on commercial flights. And then the hoax thing. 413 00:25:19,000 --> 00:25:22,600 Speaker 1: It's like you read about how bad things are, like 414 00:25:22,640 --> 00:25:24,919 Speaker 1: all these signs that it's about to hit like an 415 00:25:24,920 --> 00:25:28,600 Speaker 1: inflection point, and then Trump is describing it as a hoax, 416 00:25:28,760 --> 00:25:33,320 Speaker 1: like it's literally just like things out of movies about 417 00:25:33,320 --> 00:25:37,120 Speaker 1: a botched like how we just have the worst possible. 418 00:25:37,760 --> 00:25:39,840 Speaker 1: You know, this this is the thing that we were 419 00:25:39,840 --> 00:25:42,520 Speaker 1: worried about where you know, we kept being like, yeah, 420 00:25:42,520 --> 00:25:46,320 Speaker 1: but what if Trump like was president during something that 421 00:25:46,400 --> 00:25:52,080 Speaker 1: was actually important, like not sort of his contempt for 422 00:25:52,200 --> 00:25:56,919 Speaker 1: experts like this is that moment, absolute contempt for the 423 00:25:56,960 --> 00:25:59,840 Speaker 1: people who like are trying to get this thing under control, 424 00:26:00,119 --> 00:26:04,200 Speaker 1: putting in at people who believe in like hardcore religion 425 00:26:04,240 --> 00:26:07,320 Speaker 1: and pseudoscience to like run point, and his contempt for 426 00:26:07,400 --> 00:26:10,919 Speaker 1: people who are poor is going to come in. His 427 00:26:11,000 --> 00:26:13,639 Speaker 1: contempt for people who are brown is going to come in. 428 00:26:13,800 --> 00:26:17,600 Speaker 1: He's his racism, Like, it's all gonna come in now, 429 00:26:17,640 --> 00:26:21,360 Speaker 1: because like all all of the different you know, biases 430 00:26:21,800 --> 00:26:26,080 Speaker 1: like that affect how he interacts with reality are going 431 00:26:26,160 --> 00:26:28,600 Speaker 1: to are going to come out and be a part 432 00:26:28,680 --> 00:26:32,680 Speaker 1: of how this event unfolds. I think it also it affects, 433 00:26:33,000 --> 00:26:36,760 Speaker 1: you know, how he how he plays the game because 434 00:26:36,800 --> 00:26:39,840 Speaker 1: he uses fear so much. If people are afraid of 435 00:26:39,880 --> 00:26:42,480 Speaker 1: the coronavirus, he's not gonna be able to like stoke 436 00:26:42,600 --> 00:26:45,440 Speaker 1: up fear for a migrant caravan or you know, he's 437 00:26:45,440 --> 00:26:48,840 Speaker 1: not able to control the mass hysteria in the way 438 00:26:48,840 --> 00:26:51,200 Speaker 1: that he's used to. Well, he's gonna be able. He's 439 00:26:51,200 --> 00:26:55,560 Speaker 1: going to use this to to make people afraid of 440 00:26:55,800 --> 00:26:58,399 Speaker 1: migrant caravans. I think, like I think, I think this 441 00:26:58,480 --> 00:27:03,120 Speaker 1: will eventually. I mean usually like illnesses. I mean, it's 442 00:27:03,160 --> 00:27:07,160 Speaker 1: already causing racism. Like my wife and mother in law, 443 00:27:07,280 --> 00:27:11,240 Speaker 1: we're both like, you know, telling me they feel self conscious, 444 00:27:11,320 --> 00:27:15,240 Speaker 1: just like sneezing in public because you know how people 445 00:27:15,320 --> 00:27:21,000 Speaker 1: yeah they're Korean and people just generally are uh Like 446 00:27:21,080 --> 00:27:27,879 Speaker 1: that's already like part of how people perceive this event. Uh, 447 00:27:28,000 --> 00:27:31,080 Speaker 1: And it's gonna it's gonna keep happening and it's gonna 448 00:27:31,119 --> 00:27:33,840 Speaker 1: get worse. Well, the other thing is, like on Fox News, 449 00:27:34,359 --> 00:27:37,960 Speaker 1: they have been taking the orders from the President and 450 00:27:38,160 --> 00:27:41,720 Speaker 1: downplaying and mitigating like how bad this could be to 451 00:27:41,840 --> 00:27:46,840 Speaker 1: their viewers, which skew older and the older people, as 452 00:27:46,880 --> 00:27:50,040 Speaker 1: we've seen, are they probably most vulnerable to the effects 453 00:27:50,080 --> 00:27:53,080 Speaker 1: of the virus um And they're like, yeah, I don't 454 00:27:53,080 --> 00:27:55,040 Speaker 1: worry about it, don't worry about it. Like, how do 455 00:27:55,080 --> 00:27:57,479 Speaker 1: they think that's gonna end up too? Like, if you know, 456 00:27:57,760 --> 00:27:59,760 Speaker 1: hopefully there will there we can get to a point 457 00:27:59,800 --> 00:28:03,680 Speaker 1: where it doesn't get so terrible and people are sort 458 00:28:03,680 --> 00:28:07,280 Speaker 1: of in total mass hysteria and the transmission of the 459 00:28:07,320 --> 00:28:10,880 Speaker 1: virus has gone out of control. But you know, they're 460 00:28:10,920 --> 00:28:14,160 Speaker 1: actively telling people things like that is dangerous for them, 461 00:28:14,600 --> 00:28:18,120 Speaker 1: you know, like they should be like, yeah, you know what, uh, 462 00:28:18,560 --> 00:28:20,639 Speaker 1: maybe protect yourself a little bit rather than being like, 463 00:28:20,880 --> 00:28:24,320 Speaker 1: you know, how many coronavirus deaths in the US? Zero? Okay, 464 00:28:24,440 --> 00:28:26,960 Speaker 1: Trump's got it under control. Baby, Lick all the door 465 00:28:27,040 --> 00:28:32,280 Speaker 1: knobs and you're good. Um, I mean I stopped licking 466 00:28:32,280 --> 00:28:34,600 Speaker 1: door knobs as soon as I heard this news. Well 467 00:28:34,760 --> 00:28:38,200 Speaker 1: what self control? I've been saying, you're a hero. Because 468 00:28:38,240 --> 00:28:42,520 Speaker 1: I can't stop personally, but I mean that's just me. Um. Alright, 469 00:28:42,600 --> 00:28:45,800 Speaker 1: let's let's talk briefly. Even though the South Carolina primary 470 00:28:45,840 --> 00:28:48,040 Speaker 1: news hasn't reached us up here, I do want to 471 00:28:48,040 --> 00:28:52,200 Speaker 1: talk about something that happened in the polls that wrote 472 00:28:52,200 --> 00:28:56,360 Speaker 1: about it then the last week that is somewhat unprecedented 473 00:28:56,560 --> 00:28:59,360 Speaker 1: or at least like they didn't have a precedent for it, 474 00:28:59,440 --> 00:29:05,320 Speaker 1: which is that so Bernie had a decisive victory in Nevada, 475 00:29:05,520 --> 00:29:11,240 Speaker 1: the first state that was actually had a diverse demographic people. 476 00:29:11,760 --> 00:29:13,440 Speaker 1: You know, the media at first was like, well, this 477 00:29:13,520 --> 00:29:16,480 Speaker 1: is gonna be like a thing. Now this is he's 478 00:29:16,520 --> 00:29:19,320 Speaker 1: the front runner. He's a clear front runner. But the 479 00:29:19,360 --> 00:29:22,960 Speaker 1: media also was freaking out, and so was the d 480 00:29:23,120 --> 00:29:28,160 Speaker 1: n C. And it actually caused Biden to surge and 481 00:29:28,400 --> 00:29:33,680 Speaker 1: Sanders Poles to plummet his win like hurt his polls, 482 00:29:34,200 --> 00:29:37,920 Speaker 1: which is like, never been a thing that happens. So 483 00:29:37,960 --> 00:29:41,040 Speaker 1: it's like in which polls, what polls exactly did it affect? 484 00:29:41,200 --> 00:29:44,240 Speaker 1: Like also five thirty eight just does a blended average 485 00:29:44,280 --> 00:29:48,440 Speaker 1: of all the polls, and South Carolina, Sanders was surging, 486 00:29:48,600 --> 00:29:54,040 Speaker 1: Biden was dropping, uh Sanders one Nevada and so Va 487 00:29:54,720 --> 00:30:02,040 Speaker 1: Nevada and uh sorry, uh it so and then Biden 488 00:30:02,080 --> 00:30:05,200 Speaker 1: started surging and Sanders started dropping like a stone. Now 489 00:30:05,240 --> 00:30:10,200 Speaker 1: it's uh Sanders has a like one in thirty chance 490 00:30:10,400 --> 00:30:13,800 Speaker 1: of winning in South Carolina and Biden has a ninety 491 00:30:13,840 --> 00:30:17,520 Speaker 1: seven percent chance. And you know a lot of people 492 00:30:17,560 --> 00:30:20,920 Speaker 1: were like, well, Biden had a he overperformed by having 493 00:30:20,960 --> 00:30:23,840 Speaker 1: a solid debate um And they were like, and he 494 00:30:23,880 --> 00:30:29,920 Speaker 1: also got that uh endorsement. But they were saying that. Actually, 495 00:30:29,920 --> 00:30:32,360 Speaker 1: when you look at when the surge happened, it was 496 00:30:32,560 --> 00:30:37,920 Speaker 1: when Sanders one in Nevada. So it was the media reaction, 497 00:30:38,080 --> 00:30:40,160 Speaker 1: it was the d n C reaction. It was just 498 00:30:40,240 --> 00:30:44,920 Speaker 1: like the public's reaction to Sanders winning was that's that's 499 00:30:45,080 --> 00:30:47,400 Speaker 1: it seems to. I mean, I think some makes sense. Yeah, 500 00:30:47,440 --> 00:30:49,880 Speaker 1: are still you know, of the belief or whatever, buy 501 00:30:49,960 --> 00:30:54,080 Speaker 1: into whatever perceived threat his presidency could be. Uh. And 502 00:30:54,160 --> 00:30:56,120 Speaker 1: that shows when you have things like that and sort 503 00:30:56,160 --> 00:30:59,520 Speaker 1: of how impressionable people are. The other thing interesting too, 504 00:30:59,520 --> 00:31:02,400 Speaker 1: is there was a a few researchers actually were studying 505 00:31:02,440 --> 00:31:07,120 Speaker 1: the effects of like five thirty eight on election and 506 00:31:07,160 --> 00:31:10,040 Speaker 1: how it may have actually depressed voter turnout because they 507 00:31:10,120 --> 00:31:13,440 Speaker 1: were like it's gonna be a fucking blizzo out, but 508 00:31:13,600 --> 00:31:15,880 Speaker 1: don't worry about it. And a lot of people are like, oh, 509 00:31:15,920 --> 00:31:19,280 Speaker 1: that created a lot of overconfidence in voters. I think 510 00:31:19,400 --> 00:31:21,800 Speaker 1: I think yeah, I would say the New York Times 511 00:31:21,880 --> 00:31:26,560 Speaker 1: more than there. It's all together, baby, it's all together. 512 00:31:26,640 --> 00:31:28,760 Speaker 1: I think it's all I mean, because the fact is 513 00:31:28,800 --> 00:31:32,120 Speaker 1: it's the just the sort of reliance on polling data 514 00:31:32,240 --> 00:31:36,200 Speaker 1: to helps you know, yeah, rather, I mean, I get it. 515 00:31:36,200 --> 00:31:38,840 Speaker 1: It's a it helps give people a snapshot of what's 516 00:31:38,880 --> 00:31:41,600 Speaker 1: happening in time. But I think again, I think a 517 00:31:41,680 --> 00:31:43,640 Speaker 1: lot of the lesson most people learned anyway out of there. 518 00:31:43,640 --> 00:31:46,280 Speaker 1: It was like, yes, we understand what the polls are 519 00:31:46,320 --> 00:31:49,920 Speaker 1: saying too, but it can it can work in every direction. Yeah, 520 00:31:50,000 --> 00:31:52,440 Speaker 1: I think definitely the media coverage of polling in two 521 00:31:52,520 --> 00:31:56,400 Speaker 1: thousands sixteen. I just think five thirty eight does like 522 00:31:56,560 --> 00:32:00,800 Speaker 1: a pretty scientific, blended average of the holes, whereas like 523 00:32:00,840 --> 00:32:05,520 Speaker 1: the New York Times was just like, it's chance Hillary wins. 524 00:32:06,760 --> 00:32:08,240 Speaker 1: Was one of the only places that was like, no, 525 00:32:08,360 --> 00:32:12,120 Speaker 1: it's actually pretty close. Do you remember that on election 526 00:32:12,200 --> 00:32:16,920 Speaker 1: day watching that those numbers are going Yeah, yeah, it 527 00:32:17,080 --> 00:32:22,040 Speaker 1: was wild. Yeah, I like that was It's like traumatic. Anyways, 528 00:32:22,320 --> 00:32:26,320 Speaker 1: So the thing that is most likely the most likely thing, 529 00:32:26,840 --> 00:32:31,080 Speaker 1: and they're blended average of overall outcomes now up at 530 00:32:31,360 --> 00:32:34,840 Speaker 1: fifty chance of happening, is that nobody gets the majority 531 00:32:34,880 --> 00:32:38,520 Speaker 1: and then it's a broker convention, broker convention, in which 532 00:32:38,560 --> 00:32:42,800 Speaker 1: case that like I think Sanders only chance now is 533 00:32:42,920 --> 00:32:46,280 Speaker 1: getting a majority out right, because look, I mean there 534 00:32:46,280 --> 00:32:49,680 Speaker 1: are Michael Bloomberg is working on super delegates. There are 535 00:32:49,720 --> 00:32:52,760 Speaker 1: people working on super delegates if there has to be 536 00:32:52,800 --> 00:32:57,600 Speaker 1: a second vote, and it's yeah, it's anybody's guess what 537 00:32:58,640 --> 00:33:00,680 Speaker 1: would do? Dude, I'm telling you right now, it ain't 538 00:33:00,680 --> 00:33:03,800 Speaker 1: gonna be Elizabeth Warren either. The fucking people they're talking 539 00:33:03,800 --> 00:33:07,360 Speaker 1: about is Michael Bloomberg or like Michelle Obama, Like they're 540 00:33:07,360 --> 00:33:11,400 Speaker 1: in fantasye what, Like they don't want they can't have 541 00:33:11,560 --> 00:33:16,040 Speaker 1: anybody who's going to do anything remotely disruptive to the 542 00:33:16,160 --> 00:33:20,320 Speaker 1: billionaire like elite class. Absolutely not, Like if it goes 543 00:33:20,360 --> 00:33:23,320 Speaker 1: to a broker convention, like I think Biden is the 544 00:33:23,320 --> 00:33:27,200 Speaker 1: best we could hope for. Like it's honestly like yeah, 545 00:33:27,440 --> 00:33:30,360 Speaker 1: or they or these people really think Bloomberg, I have 546 00:33:30,440 --> 00:33:33,040 Speaker 1: no fucking clue what could happen it's gonna be interest. 547 00:33:33,080 --> 00:33:35,200 Speaker 1: I mean, we'll begin to see as as time goes on, 548 00:33:35,280 --> 00:33:37,800 Speaker 1: like what what they're trying, what kind of weather balloons 549 00:33:37,800 --> 00:33:41,200 Speaker 1: are sending up? But my goodness, like didn't they mention 550 00:33:41,360 --> 00:33:43,760 Speaker 1: Kamala Harris too. Yeah, there there were a few people 551 00:33:43,760 --> 00:33:46,800 Speaker 1: who said that there are people who like I mean, 552 00:33:47,200 --> 00:33:49,160 Speaker 1: there were all kinds of names going out there, But 553 00:33:49,240 --> 00:33:52,320 Speaker 1: I think what it came down to is that they 554 00:33:52,600 --> 00:33:54,760 Speaker 1: would They're going to figure something else out if it 555 00:33:54,800 --> 00:33:56,480 Speaker 1: comes down to it. And one of the people that 556 00:33:56,680 --> 00:33:58,920 Speaker 1: was in that New York Times article who was one 557 00:33:58,920 --> 00:34:03,000 Speaker 1: of the super delegates, this guy William Owen, He is like, dude, 558 00:34:03,120 --> 00:34:05,480 Speaker 1: he is one of the people who like contributes to 559 00:34:05,520 --> 00:34:10,919 Speaker 1: like Republicans. He's like a former health healthcare lobbyist who 560 00:34:10,920 --> 00:34:13,680 Speaker 1: like backed Mitch McConnell. This is the guy, like one 561 00:34:13,719 --> 00:34:15,840 Speaker 1: of the dudes like being like, yeah, we gotta we 562 00:34:15,920 --> 00:34:21,719 Speaker 1: gotta stop Sanders. Of course, an ex healthcare lobbyist. He's 563 00:34:21,760 --> 00:34:24,960 Speaker 1: not gonna pick Elizabeth Warred either, He's gonna pick fucking whoever, 564 00:34:25,080 --> 00:34:29,600 Speaker 1: probably Bloomberg. No. I mean this, it seems like the 565 00:34:29,680 --> 00:34:34,880 Speaker 1: most likely outcome is like the death of any political 566 00:34:34,960 --> 00:34:37,680 Speaker 1: will on on behalf of like anybody under the age 567 00:34:37,680 --> 00:34:41,200 Speaker 1: of forty. Yeah, everyone's just gonna be So this is 568 00:34:41,239 --> 00:34:44,160 Speaker 1: just not everyone, but every like the people who are 569 00:34:44,760 --> 00:34:50,080 Speaker 1: uh you know who became interested motivated about politics over 570 00:34:50,120 --> 00:34:54,319 Speaker 1: the past you know, five years are just gonna be 571 00:34:54,400 --> 00:34:57,880 Speaker 1: totally checked out. Well it'll be like a cause of revolution. 572 00:34:57,960 --> 00:34:59,839 Speaker 1: But yeah, I mean here's the deal, man, if they 573 00:35:00,000 --> 00:35:02,640 Speaker 1: do that ship, it's straight up class warfare at the point, 574 00:35:02,760 --> 00:35:05,360 Speaker 1: it's like you have the fucking people who are deciding 575 00:35:05,400 --> 00:35:08,839 Speaker 1: whoever they want and for them to just intervene like that, 576 00:35:08,960 --> 00:35:12,240 Speaker 1: to put the interests aside of people like working people's 577 00:35:12,280 --> 00:35:15,960 Speaker 1: you know, rights, needs and things like that, it's clearly 578 00:35:15,960 --> 00:35:18,160 Speaker 1: showing hey, we have the fucking power. At the end 579 00:35:18,160 --> 00:35:20,400 Speaker 1: of the day, you can you know, you can vote 580 00:35:21,040 --> 00:35:23,279 Speaker 1: and rally and ship, but at the end of the day, 581 00:35:23,320 --> 00:35:25,879 Speaker 1: like we set this system up so like we're gonna 582 00:35:25,960 --> 00:35:28,000 Speaker 1: we're gonna fucking keep it moving the same way it's 583 00:35:28,000 --> 00:35:30,279 Speaker 1: been moving. Yeah, I mean, we read that New York 584 00:35:30,280 --> 00:35:32,520 Speaker 1: Times article at the end of last week that just 585 00:35:32,640 --> 00:35:36,520 Speaker 1: covered the you know, the delegates planning to who are 586 00:35:36,560 --> 00:35:39,319 Speaker 1: like we've got to stop Sanders as just like yeah, 587 00:35:39,360 --> 00:35:41,839 Speaker 1: of course that's what they're doing and just like par 588 00:35:42,040 --> 00:35:44,880 Speaker 1: for the course, as opposed to, yeah, this is class warfare. 589 00:35:45,280 --> 00:35:47,960 Speaker 1: You will start a class war like you will end 590 00:35:48,239 --> 00:35:52,480 Speaker 1: your party's viability forever probably. But instead it was just 591 00:35:52,560 --> 00:35:59,400 Speaker 1: like yeah, and so there we found intense opposition. It's like, yeah, okay, 592 00:35:59,480 --> 00:36:03,480 Speaker 1: that's not from within our bubble. It's just yeah, it's 593 00:36:03,480 --> 00:36:07,040 Speaker 1: such a bubble that they don't they don't have any 594 00:36:07,120 --> 00:36:10,600 Speaker 1: concept of how toxic and bad that would be. Yeah, 595 00:36:10,719 --> 00:36:13,680 Speaker 1: And I think whoever, like, no matter who you support, 596 00:36:13,840 --> 00:36:16,680 Speaker 1: you need to look at this situation and understand what 597 00:36:16,760 --> 00:36:19,239 Speaker 1: these people at the at that at that level are 598 00:36:19,360 --> 00:36:22,279 Speaker 1: thinking and what they want to keep away from you, 599 00:36:22,360 --> 00:36:25,120 Speaker 1: what they want to take away from you. So, yeah, 600 00:36:25,120 --> 00:36:29,600 Speaker 1: we're fucked. Uh, we'll see, we'll see. Chin's up, Chin 601 00:36:29,760 --> 00:36:32,719 Speaker 1: up pal. All Right, we're gonna on that note, on 602 00:36:32,800 --> 00:36:34,799 Speaker 1: that hopeful note. We're gonna take a quick break and 603 00:36:34,800 --> 00:36:37,080 Speaker 1: we'll be right back to talk about the bagel rito 604 00:36:48,840 --> 00:36:54,320 Speaker 1: and we're back and uh, let's get to the real news. Yeah, 605 00:36:54,360 --> 00:36:58,800 Speaker 1: we're really fucked now. Looking things I think I've ever said, Okay, 606 00:36:58,840 --> 00:37:02,280 Speaker 1: it could be gross, or I think I'll try anything 607 00:37:02,360 --> 00:37:06,759 Speaker 1: once because you know, I'm the gross food bandit. Uh. 608 00:37:06,760 --> 00:37:10,560 Speaker 1: And the bagel Rito is from Einstein Bros. Bagel company. Yeah, 609 00:37:11,040 --> 00:37:13,640 Speaker 1: I've never heard of that. Okay, so that's a that's 610 00:37:13,640 --> 00:37:17,359 Speaker 1: a that's an American company. But essentially it's exactly what 611 00:37:17,400 --> 00:37:20,600 Speaker 1: you think. It's a burrito, it's a bagel. It's everything 612 00:37:20,640 --> 00:37:23,919 Speaker 1: you need. The way they describe it, the bagel Rito 613 00:37:24,040 --> 00:37:27,600 Speaker 1: is the latest breakfast innovation from Einstein Bros. Bagels, Substantial 614 00:37:27,640 --> 00:37:30,239 Speaker 1: in size and high end flavor. It's loaded with two 615 00:37:30,280 --> 00:37:33,520 Speaker 1: cage free eggs, thick cut bacon, turkey sausage, three cheeses, 616 00:37:33,560 --> 00:37:36,319 Speaker 1: hash brown salsa, and green chee liz to a in 617 00:37:36,600 --> 00:37:40,160 Speaker 1: a flower tortilla. It looks like the filling of this 618 00:37:40,280 --> 00:37:44,480 Speaker 1: burrito just looks like what you would like push out 619 00:37:44,520 --> 00:37:48,160 Speaker 1: of an artery of somebody. It looks like an artery. 620 00:37:48,239 --> 00:37:50,160 Speaker 1: It doesn't even look like a photograph. It looks like 621 00:37:50,200 --> 00:37:55,439 Speaker 1: a Salvador Dolly painting. So surreal. Yeah. Yeah, and it's 622 00:37:55,480 --> 00:37:59,840 Speaker 1: all all hand wrapped in Aziago bagel dough and baked fresh. 623 00:38:00,160 --> 00:38:02,920 Speaker 1: It's substantial size, high flavor, and portability has earned its 624 00:38:02,920 --> 00:38:07,000 Speaker 1: slogan big, bold and easy to hold. Now the reviews 625 00:38:07,160 --> 00:38:11,280 Speaker 1: have actually been good. Really, yes, they're saying like because 626 00:38:11,320 --> 00:38:14,120 Speaker 1: like it actually has a lot more ingredients than normal 627 00:38:14,239 --> 00:38:17,280 Speaker 1: fast food things do so like and there's like actual 628 00:38:17,360 --> 00:38:20,359 Speaker 1: flavors in it. Um. The only thing I'm a little 629 00:38:20,400 --> 00:38:25,000 Speaker 1: confused about is why have a flower tortilla within the bagel? Already? 630 00:38:25,200 --> 00:38:27,880 Speaker 1: I feel like the bagel itself. Wait, there's a flower 631 00:38:28,000 --> 00:38:31,239 Speaker 1: tortilla in the It's like you have a mini breakfast 632 00:38:31,280 --> 00:38:35,239 Speaker 1: burrito inside and then a bagel outside, so you have 633 00:38:35,280 --> 00:38:37,640 Speaker 1: two starts layers. I feel like that's a little redundant, 634 00:38:37,640 --> 00:38:39,920 Speaker 1: that's too much. But I don't know. Not now you're 635 00:38:39,960 --> 00:38:42,719 Speaker 1: telling me that it's getting positive reviews, and now I 636 00:38:42,800 --> 00:38:44,560 Speaker 1: kind of want to try it. Yeah, because they take 637 00:38:45,600 --> 00:38:48,280 Speaker 1: just like one of the food writers at the takeout 638 00:38:48,360 --> 00:38:51,120 Speaker 1: who like, you know typically you know, like like she 639 00:38:51,160 --> 00:38:53,600 Speaker 1: talks about food. Um, I think it was written by 640 00:38:53,600 --> 00:38:58,439 Speaker 1: Marnie Shert and it you know, Marnie Shert Einstein. Wait, 641 00:39:00,160 --> 00:39:02,640 Speaker 1: but yeah, like everyone, a lot of people there were 642 00:39:02,680 --> 00:39:04,480 Speaker 1: pretty impressed, and she went to like a press event. 643 00:39:04,520 --> 00:39:06,000 Speaker 1: The write up was at the press event, and most 644 00:39:06,000 --> 00:39:09,840 Speaker 1: people are like, oh, and it's actually like the bagel 645 00:39:09,920 --> 00:39:12,520 Speaker 1: was rigid enough that it wasn't like falling apart, so 646 00:39:12,760 --> 00:39:16,400 Speaker 1: it is big. Yeah. At the same time, at a 647 00:39:16,440 --> 00:39:19,480 Speaker 1: press event, they're making sure they fucking nailed that thing. 648 00:39:19,760 --> 00:39:22,960 Speaker 1: And the issue with fast food is you're having to 649 00:39:23,480 --> 00:39:26,759 Speaker 1: you know, spread that out a nation. Yeah. I mean, 650 00:39:26,760 --> 00:39:29,080 Speaker 1: they don't have a press event for the diarrhea, you get, 651 00:39:30,080 --> 00:39:31,799 Speaker 1: they might we should. I think we have to have 652 00:39:31,840 --> 00:39:34,720 Speaker 1: the bagel rito though. Yeah, I mean that that needs 653 00:39:34,760 --> 00:39:38,239 Speaker 1: to be something that is always I think the dough 654 00:39:38,280 --> 00:39:40,880 Speaker 1: Boys do a good job of this, of like taking 655 00:39:40,920 --> 00:39:44,520 Speaker 1: into account when they're reviewing fast food restaurants, like and 656 00:39:44,560 --> 00:39:47,279 Speaker 1: then I felt like sick for four hours, which is 657 00:39:47,320 --> 00:39:50,759 Speaker 1: actually not that bad for fast food, Like I don't 658 00:39:50,800 --> 00:39:54,040 Speaker 1: ever really feel bad for eating fast food. That's incredible. 659 00:39:54,200 --> 00:39:57,239 Speaker 1: I think that's why I'll never see your machine. Yeah. Yeah, 660 00:39:57,360 --> 00:39:59,880 Speaker 1: Or I'm just completely rotten on the inside and like 661 00:40:00,080 --> 00:40:02,400 Speaker 1: nothing's working anymore, and it's yeah, dude, I don't know, 662 00:40:02,560 --> 00:40:05,400 Speaker 1: just the wheels are basically have come off and somehow 663 00:40:05,440 --> 00:40:07,400 Speaker 1: you're in free fall but alive. I feel great. I 664 00:40:07,400 --> 00:40:10,640 Speaker 1: haven't pooped in thirty days. Yeah, that's great. And then 665 00:40:10,680 --> 00:40:15,360 Speaker 1: when it comes once a month, lock all the furniture, 666 00:40:15,440 --> 00:40:18,120 Speaker 1: you guys know, I have to one day a month, 667 00:40:18,239 --> 00:40:20,480 Speaker 1: I don't come into work. That's one of my favorite 668 00:40:20,600 --> 00:40:23,360 Speaker 1: st NO sketches is the one about the birth control 669 00:40:23,400 --> 00:40:25,600 Speaker 1: pill that like gives you your period one like you 670 00:40:25,640 --> 00:40:28,759 Speaker 1: only have your period once a year, but then like 671 00:40:28,800 --> 00:40:32,080 Speaker 1: when you do, it's like they're like running around with axes. 672 00:40:33,080 --> 00:40:35,160 Speaker 1: Which year was? How long ago was it was when 673 00:40:35,400 --> 00:40:38,040 Speaker 1: it was one of the first ones after Tina fe left, 674 00:40:38,080 --> 00:40:41,440 Speaker 1: when she came back and hosted, and it was just 675 00:40:41,600 --> 00:40:45,239 Speaker 1: very like strongly in her voice was amazing. Alright, let's 676 00:40:45,239 --> 00:40:49,799 Speaker 1: talk about the Invisible Man jam. Yeah. Yeah, So when 677 00:40:49,840 --> 00:40:53,319 Speaker 1: I first heard they were remaking Invisible Man, you know, 678 00:40:53,360 --> 00:40:55,600 Speaker 1: I have flashbacks to the going to see the Chevy 679 00:40:55,680 --> 00:40:58,359 Speaker 1: Chase one when I was a kid in theaters and 680 00:40:58,640 --> 00:41:04,680 Speaker 1: being underwell uh but this this looks terrifying. What is 681 00:41:04,719 --> 00:41:07,080 Speaker 1: the story? I just know it's h. G. Wells, but 682 00:41:07,160 --> 00:41:08,919 Speaker 1: I don't know. I've never even seen the Chevy Chase. 683 00:41:09,000 --> 00:41:12,960 Speaker 1: It's about dude who's literally invisible, yeah, and then become invisible, 684 00:41:13,120 --> 00:41:17,600 Speaker 1: but like it becomes very sad kind of because see him. Yeah, 685 00:41:17,840 --> 00:41:22,239 Speaker 1: I mean this one not yeah, this one straight up horror. Yeah. 686 00:41:22,320 --> 00:41:26,520 Speaker 1: The Chevy Chase one is more like comedy that then 687 00:41:26,800 --> 00:41:31,239 Speaker 1: is like kind of is the original story by H. G. 688 00:41:31,320 --> 00:41:34,400 Speaker 1: Wells like malleable enough basically that depending on wherever the 689 00:41:34,520 --> 00:41:37,040 Speaker 1: script writer wants to take it, you can still honor 690 00:41:37,080 --> 00:41:40,480 Speaker 1: the original text and be I think they literally just 691 00:41:40,520 --> 00:41:44,040 Speaker 1: take the idea of a guy who can invisible. I 692 00:41:44,080 --> 00:41:46,520 Speaker 1: think the the original story was supposed to be about 693 00:41:46,600 --> 00:41:49,719 Speaker 1: kind of like the perils of scientific advancements because the 694 00:41:49,760 --> 00:41:52,960 Speaker 1: data scientists who just kind of gets driven insane by 695 00:41:53,000 --> 00:41:58,359 Speaker 1: I think that was scientists who go crazy. But this 696 00:41:58,440 --> 00:42:02,880 Speaker 1: one is from like the perspective of like the victim, 697 00:42:02,960 --> 00:42:06,560 Speaker 1: like you don't see anything through the perspective of the 698 00:42:06,560 --> 00:42:10,960 Speaker 1: the invisible man. Okay, and it's still played by chevy 699 00:42:11,040 --> 00:42:18,360 Speaker 1: Chase though, which I thought the terrifying invincibility of chevy 700 00:42:18,480 --> 00:42:26,040 Speaker 1: Chase such a such a imposing physical presence. The So this, yeah, 701 00:42:26,120 --> 00:42:30,400 Speaker 1: it really seems like it's got It's basically more in 702 00:42:30,520 --> 00:42:34,360 Speaker 1: line in the tradition of movies like Enough and Sleeping 703 00:42:34,400 --> 00:42:37,279 Speaker 1: with the Enemy, where it's like a story of a 704 00:42:37,280 --> 00:42:40,239 Speaker 1: woman who's in an abusive relationship who escapes and then 705 00:42:40,360 --> 00:42:44,360 Speaker 1: is tormented by the person she escapes, but that person 706 00:42:45,000 --> 00:42:48,320 Speaker 1: is insible, is able to make himself invisible, and also 707 00:42:48,960 --> 00:42:51,959 Speaker 1: like faked his own death right. Yeah, which is also 708 00:42:52,040 --> 00:42:55,719 Speaker 1: really clever because they kind of they use the sci 709 00:42:55,800 --> 00:43:00,560 Speaker 1: fi concept to kind of make how trauma feels very 710 00:43:00,600 --> 00:43:03,960 Speaker 1: palpable in terms of the story, because like the whole 711 00:43:04,000 --> 00:43:06,440 Speaker 1: first act of the movie is basically just you know, 712 00:43:06,520 --> 00:43:09,920 Speaker 1: she escapes this abuse of household and this guy, and 713 00:43:09,960 --> 00:43:13,400 Speaker 1: it's just her in empty rooms and this disquieting feeling 714 00:43:13,520 --> 00:43:16,680 Speaker 1: of not being alone or not being able to go 715 00:43:16,719 --> 00:43:19,000 Speaker 1: on with her life because she's kind of haunted by 716 00:43:19,040 --> 00:43:22,520 Speaker 1: this trauma. And it was really effective. I thought, even 717 00:43:22,560 --> 00:43:26,240 Speaker 1: just the beginning of the movie, before anything sci fi happens, 718 00:43:26,600 --> 00:43:30,760 Speaker 1: it's it's a horror scene that's just about her leaving 719 00:43:30,760 --> 00:43:33,000 Speaker 1: this guy and about her trying to get out of 720 00:43:33,000 --> 00:43:35,600 Speaker 1: the house while he's sleeping, and it was probably like 721 00:43:35,640 --> 00:43:37,799 Speaker 1: the most intense scariest part of the movie, and it's 722 00:43:37,800 --> 00:43:41,120 Speaker 1: before the guy is even invisible. Yeah, so yeah, I 723 00:43:41,160 --> 00:43:44,080 Speaker 1: thought it was pretty good. I mean, that's that is 724 00:43:44,600 --> 00:43:51,000 Speaker 1: probably the most common like real world experience of horror 725 00:43:51,120 --> 00:43:54,080 Speaker 1: that people have, is like that's that's when you're at 726 00:43:54,080 --> 00:43:58,960 Speaker 1: your most at the most dangerous, uh, is when you're 727 00:43:58,960 --> 00:44:01,320 Speaker 1: trying to leave, Like that's when you're the most danger 728 00:44:01,360 --> 00:44:03,640 Speaker 1: of being killed. Is when you're trying to leave an 729 00:44:03,640 --> 00:44:08,359 Speaker 1: abuse of significant other, like that just happens so much. 730 00:44:08,440 --> 00:44:14,920 Speaker 1: It's like underrepresented because we don't make women the protagonists 731 00:44:15,000 --> 00:44:18,959 Speaker 1: of our stories and even like the news, I feel 732 00:44:18,960 --> 00:44:23,200 Speaker 1: like under under representstive um. But yeah, so it's a 733 00:44:23,280 --> 00:44:28,280 Speaker 1: it's kind of an interesting turn sort of. It feels 734 00:44:28,280 --> 00:44:32,640 Speaker 1: sort of of a piece with the more like Jordan's 735 00:44:32,680 --> 00:44:38,920 Speaker 1: peel h like social socially conscious horror. Yeah, and it's 736 00:44:38,920 --> 00:44:43,680 Speaker 1: the same studio. It's it's Blumhouse doing it, so like, yeah, 737 00:44:43,719 --> 00:44:46,360 Speaker 1: they've been trying to corner the market on like the 738 00:44:46,440 --> 00:44:51,080 Speaker 1: socially conscious, low budget thriller, right Rosemary's Baby again, Yea, 739 00:44:51,600 --> 00:44:54,239 Speaker 1: they did that. One of who would have thought just 740 00:44:54,280 --> 00:44:57,960 Speaker 1: bringing people's attention to societal issues would also be just 741 00:44:58,200 --> 00:45:02,080 Speaker 1: horrifying without an sort of sensationalizing shit. But I mean 742 00:45:02,080 --> 00:45:04,400 Speaker 1: that's all Yeah, that's always been like the best horror 743 00:45:04,440 --> 00:45:07,040 Speaker 1: has been, yes, subtle, because I think it's universal, and 744 00:45:07,040 --> 00:45:10,160 Speaker 1: I think even then it's sort of demystifies or it's 745 00:45:10,239 --> 00:45:14,000 Speaker 1: less abstract, like the idea of someone's trauma, like if 746 00:45:14,440 --> 00:45:16,480 Speaker 1: if you have it in the form of an invisible man, 747 00:45:16,640 --> 00:45:18,880 Speaker 1: it can be someone by themselves and you don't know 748 00:45:18,920 --> 00:45:22,399 Speaker 1: if they're there, but just this feeling right that sort 749 00:45:22,400 --> 00:45:25,080 Speaker 1: of helps. I don't know if if it's completely abstract, 750 00:45:25,120 --> 00:45:27,120 Speaker 1: you like, oh yeah, that that is kind of yeah. 751 00:45:27,160 --> 00:45:29,319 Speaker 1: And then there's like a whole gas lighting thing too. 752 00:45:29,400 --> 00:45:32,600 Speaker 1: This seems to be like attention throughout is like, you know, 753 00:45:32,719 --> 00:45:37,879 Speaker 1: she's saying there's an invisible person who's hunting her, and 754 00:45:38,120 --> 00:45:42,320 Speaker 1: people are like, you're you know, yeah, more on that later, lady. Exactly. 755 00:45:42,520 --> 00:45:45,279 Speaker 1: It doesn't happen to that, yeah, that idea of that 756 00:45:45,400 --> 00:45:48,359 Speaker 1: women need to be believed. And it's also it's it's 757 00:45:48,360 --> 00:45:50,080 Speaker 1: funny because she keeps trying to tell people that he 758 00:45:50,400 --> 00:45:53,080 Speaker 1: turned itself invisible, and they're like, I'm not even gonna 759 00:45:53,120 --> 00:45:55,600 Speaker 1: bother to look in his basement full of like mad 760 00:45:55,719 --> 00:46:00,520 Speaker 1: scientist equipment and mysterious chambers. I'm not you know, I 761 00:46:00,520 --> 00:46:02,960 Speaker 1: don't know. None of this is adding up. I will 762 00:46:03,000 --> 00:46:05,200 Speaker 1: say I think it's a little weird that, like it 763 00:46:05,280 --> 00:46:08,040 Speaker 1: was just written and directed by this dude is like 764 00:46:08,080 --> 00:46:11,080 Speaker 1: the guy who wrote Saw I think because he got 765 00:46:11,160 --> 00:46:14,600 Speaker 1: kind of some pats on the back for Elizabeth. Moss 766 00:46:14,600 --> 00:46:17,880 Speaker 1: said in an interview that he sort of collaborated with 767 00:46:17,920 --> 00:46:21,160 Speaker 1: her and wanted the female perspective on the story. Yeah. 768 00:46:21,239 --> 00:46:23,880 Speaker 1: I was like, why, I just don't understand why if 769 00:46:23,920 --> 00:46:25,719 Speaker 1: I was sitting down to write a script about this, 770 00:46:25,880 --> 00:46:29,239 Speaker 1: why I wouldn't ask co write it with. Yeah, one 771 00:46:29,320 --> 00:46:33,880 Speaker 1: of the many, many super talented women who aren't being 772 00:46:33,920 --> 00:46:38,000 Speaker 1: given jobs by Hollywood exactly. I just don't understand that. 773 00:46:38,120 --> 00:46:39,960 Speaker 1: And like I said, it's a good movie. It does 774 00:46:39,960 --> 00:46:42,000 Speaker 1: a lot well, but maybe it could have been a 775 00:46:42,000 --> 00:46:46,719 Speaker 1: great movie and had more perspective than this one does. 776 00:46:46,840 --> 00:46:49,919 Speaker 1: I don't know, but yeah, pretty good and better than 777 00:46:49,960 --> 00:46:52,960 Speaker 1: the the The Invisible Man we might have gotten if 778 00:46:52,960 --> 00:46:57,359 Speaker 1: they kept going with the like the Tom Cruise verse, right, 779 00:46:57,440 --> 00:47:01,319 Speaker 1: the Tom Cruise Monster verse. So this was this what? 780 00:47:01,520 --> 00:47:06,160 Speaker 1: This is a Universal film? Right? So Universal owns the 781 00:47:06,280 --> 00:47:11,439 Speaker 1: rights to all these classic monsters and they were going 782 00:47:11,560 --> 00:47:15,440 Speaker 1: to try to like turn it into their own like 783 00:47:15,560 --> 00:47:20,759 Speaker 1: Marvel Universe where Wolfman and the Mummy as played by 784 00:47:20,760 --> 00:47:25,560 Speaker 1: Tom Cruise uh and The Invisible Man as played by 785 00:47:25,640 --> 00:47:29,080 Speaker 1: Johnny Depp that had cast him Russell Crowe as Dr 786 00:47:29,160 --> 00:47:33,279 Speaker 1: Jackal Mr Hyde Uh. What like they were going to 787 00:47:33,480 --> 00:47:39,799 Speaker 1: create like this weird superhero movie slash monster movie hybrid uh. 788 00:47:39,840 --> 00:47:43,320 Speaker 1: And who could forget that Tom Cruise mummy. Oh everybody 789 00:47:43,320 --> 00:47:48,240 Speaker 1: who could remember remember that? Yeah? Uh that that movie 790 00:47:48,280 --> 00:47:51,120 Speaker 1: tanked and they were just like okay. And then also, yeah, 791 00:47:51,239 --> 00:47:54,080 Speaker 1: Johnny Depp as the Invisible Man might have been a 792 00:47:54,080 --> 00:47:57,720 Speaker 1: little bit problematic since he's an abuser. Yeah. I wonder 793 00:47:57,920 --> 00:48:00,719 Speaker 1: like was the story the same because that would be 794 00:48:00,760 --> 00:48:05,320 Speaker 1: really weird. Yeah, I'm assuming not. Um. Well, j M, 795 00:48:05,960 --> 00:48:08,879 Speaker 1: it's been such a pleasure having you man. Oh, thank 796 00:48:08,880 --> 00:48:11,360 Speaker 1: you for having Yeah, thank you for having us. Yeah, 797 00:48:11,400 --> 00:48:14,239 Speaker 1: thank you for working with working with us, contributing to 798 00:48:14,280 --> 00:48:17,360 Speaker 1: the show Man. Thank you for inviting me on this journey. 799 00:48:17,440 --> 00:48:19,879 Speaker 1: And it sounds silly when I say it out loud, 800 00:48:19,920 --> 00:48:23,440 Speaker 1: but I mean, thank you guys so much. Thanks. It's 801 00:48:23,640 --> 00:48:26,040 Speaker 1: feeling is mutual. I love is mutual? Baby, Yes, yes, 802 00:48:26,640 --> 00:48:30,440 Speaker 1: Where can people find you? Follow you? You can follow 803 00:48:30,440 --> 00:48:35,200 Speaker 1: me on Twitter. I'm at j M McNab again. I'm 804 00:48:35,680 --> 00:48:40,880 Speaker 1: usually on the Rewatchability podcasts on the Entertainment one podcast network. 805 00:48:41,680 --> 00:48:44,000 Speaker 1: If you're watching the new Star Trek show Picard, I 806 00:48:44,040 --> 00:48:47,040 Speaker 1: also do a recap show of that. It's called t 807 00:48:47,280 --> 00:48:51,960 Speaker 1: earl Gray Hot take. Can find that on podcast places. Oh, 808 00:48:51,960 --> 00:48:55,160 Speaker 1: because he says to you're great hot right, Yeah, that's 809 00:48:55,200 --> 00:48:57,480 Speaker 1: what we were going for. He was, it's like one 810 00:48:57,520 --> 00:49:00,560 Speaker 1: of the few like picard isms. I know, that's how 811 00:49:00,640 --> 00:49:03,680 Speaker 1: that's how he orders is to Yeah, I got it. Uh, 812 00:49:03,719 --> 00:49:08,480 Speaker 1: that's like his shaking nuts stirred exactly. It's way less cool. Yeah, 813 00:49:08,520 --> 00:49:11,320 Speaker 1: I love it. Is there a tweet you've been enjoying? 814 00:49:12,680 --> 00:49:17,680 Speaker 1: I did? Like? This is an older one, but from 815 00:49:18,200 --> 00:49:24,360 Speaker 1: the debate the other day? Uh? Tweets by Matt Oswald 816 00:49:24,560 --> 00:49:28,880 Speaker 1: who who tweeted out debate winner Bloomberg audience supporters who 817 00:49:28,920 --> 00:49:37,600 Speaker 1: are now SAG eligible. Oh man, that was wonderful. Just 818 00:49:38,600 --> 00:49:43,480 Speaker 1: what a crowd synthetic? So sorry? Authentic? Right, that's the 819 00:49:43,560 --> 00:49:48,240 Speaker 1: word for when everything's fake? And Miles, where can people 820 00:49:48,239 --> 00:49:51,080 Speaker 1: find you? Follow you on Twitter, Instagram at Miles of Gray. 821 00:49:51,160 --> 00:49:55,520 Speaker 1: Also on my other podcast for twenty Day Fiance with 822 00:49:55,600 --> 00:50:01,319 Speaker 1: Sophia Alexandra. Uh. Some tweets that I like. The first 823 00:50:01,320 --> 00:50:04,560 Speaker 1: one is from a past guest, Amy Miller at Amy Miller. 824 00:50:05,160 --> 00:50:08,879 Speaker 1: She said, please stranger, tell me what else I can 825 00:50:08,920 --> 00:50:14,439 Speaker 1: put in my act? People love giving you that those 826 00:50:14,480 --> 00:50:16,279 Speaker 1: tips after a show. This is this is what you 827 00:50:16,280 --> 00:50:19,600 Speaker 1: should do. I think, um, yeah, and I think that 828 00:50:19,880 --> 00:50:23,879 Speaker 1: is it? Okay? Oh wait, no, sorry. The other one 829 00:50:23,960 --> 00:50:26,200 Speaker 1: was from Sophia, but I couldn't find it on our Twitter. 830 00:50:26,239 --> 00:50:28,840 Speaker 1: I just saw it. This was on her Instagram. Sophia 831 00:50:28,880 --> 00:50:31,799 Speaker 1: Alexandra at the Sophia said, my psychiatrist is in my 832 00:50:31,840 --> 00:50:35,000 Speaker 1: phone as brain Wizard, and my dentist is Dentist Toothington, 833 00:50:35,280 --> 00:50:44,680 Speaker 1: and my dad is not around. Um oh. Sabrina Ahmed 834 00:50:44,920 --> 00:50:49,319 Speaker 1: tweeted a disaster about this asap Rocky for a Wall 835 00:50:49,360 --> 00:50:53,400 Speaker 1: Street Journal magazine thing. It's just so, it's a it's 836 00:50:53,440 --> 00:50:58,000 Speaker 1: a example of a media disaster that I feel like 837 00:50:58,160 --> 00:51:01,200 Speaker 1: is not being covered. But people need to look at 838 00:51:01,200 --> 00:51:05,960 Speaker 1: this asap Rocky photo shoot for the Wall Street Journal magazine. Um. 839 00:51:06,080 --> 00:51:09,120 Speaker 1: Why he's I feel like, what is he doing? Like 840 00:51:09,320 --> 00:51:11,400 Speaker 1: there's like a feature of them, Yeah, there's a feature. 841 00:51:11,440 --> 00:51:14,239 Speaker 1: There's all these pictures of him like just being I 842 00:51:14,280 --> 00:51:18,799 Speaker 1: don't know so well. Yeah, super dope, but like, I 843 00:51:18,840 --> 00:51:21,719 Speaker 1: don't know, man, what's going on with that guy? He's 844 00:51:21,760 --> 00:51:26,359 Speaker 1: so cool sometimes and then so awful others. Parker at 845 00:51:26,360 --> 00:51:29,600 Speaker 1: Allergic to Sex tweeted deleted Twitter because I thought it 846 00:51:29,640 --> 00:51:34,239 Speaker 1: was making me depressed. Turns out I just have depression. Uh. 847 00:51:34,320 --> 00:51:40,000 Speaker 1: And Julia Chiplett tweeted my Midwestern asked love screaming thank 848 00:51:40,080 --> 00:51:46,319 Speaker 1: you when leaving literally any establishment and that identify very 849 00:51:46,840 --> 00:51:49,879 Speaker 1: hard with that, and then Eli the average guy at 850 00:51:49,960 --> 00:51:53,400 Speaker 1: Jazz and my Pants tweeted, Oh you're not a coffee person. 851 00:51:53,680 --> 00:52:00,120 Speaker 1: Congratulations on never achieving your potential. You can find on 852 00:52:00,160 --> 00:52:02,279 Speaker 1: Twitter Jack Underscore O Brian. You can find us on 853 00:52:02,280 --> 00:52:05,759 Speaker 1: Twitter at Daily Zeitgeist. We're at the Daily Zeitgeist on Instagram. 854 00:52:05,760 --> 00:52:08,400 Speaker 1: We have Facebook fan page on a website Daily zycheis 855 00:52:08,480 --> 00:52:11,840 Speaker 1: dot com where we post our episodes and our footnote 856 00:52:12,280 --> 00:52:14,319 Speaker 1: where we link off to the information that we talked 857 00:52:14,320 --> 00:52:17,319 Speaker 1: about in today's episode, as well as the song we 858 00:52:17,440 --> 00:52:21,880 Speaker 1: write out on mild What song will that be for 859 00:52:21,920 --> 00:52:25,600 Speaker 1: this fine Monday? Let's do a track by Hiatus Kyote, 860 00:52:25,719 --> 00:52:28,279 Speaker 1: one of my favorite bands. It's spelled h I eight 861 00:52:28,480 --> 00:52:31,600 Speaker 1: t U s Hey, well that's nice. Hius Coyote k 862 00:52:31,800 --> 00:52:36,240 Speaker 1: A I y O t E. Fantastic band from Straia, 863 00:52:36,400 --> 00:52:39,600 Speaker 1: from Australia, UM and this track is called the Lung. 864 00:52:39,800 --> 00:52:42,000 Speaker 1: I think they are just one of the greatest bands 865 00:52:42,000 --> 00:52:44,399 Speaker 1: playing right now. They are masters of their instruments and 866 00:52:44,600 --> 00:52:46,600 Speaker 1: always a pleasure to see live at the Lung. L 867 00:52:46,760 --> 00:52:51,359 Speaker 1: U n G yesca big fan of those uh well 868 00:52:51,400 --> 00:52:53,720 Speaker 1: the Daily zey Geist to the production of I Heart Radio. 869 00:52:53,800 --> 00:52:55,960 Speaker 1: For more podcasts for my heart Radio, visit the I 870 00:52:56,000 --> 00:52:58,759 Speaker 1: Heart Radio at Apple podcast or wherever you listen to 871 00:52:58,760 --> 00:53:02,200 Speaker 1: your favorite shows. That's gonna do it for this Monday. 872 00:53:02,360 --> 00:53:04,480 Speaker 1: We'll be back this afternoon to tell you what the 873 00:53:04,520 --> 00:53:07,440 Speaker 1: heck is trending Right now. We'll talk to you down 874 00:53:07,480 --> 00:53:17,280 Speaker 1: back by from I'm Flare Cold. You'll go there Apple 875 00:53:17,440 --> 00:53:24,640 Speaker 1: all the head Sweet, come shoot down down Down store 876 00:53:24,760 --> 00:53:30,400 Speaker 1: a flair Cold. Don't go Apple over head sweet and 877 00:53:30,640 --> 00:53:40,000 Speaker 1: shoot it down Stone Flair Cold to Codamn Apple all 878 00:53:40,200 --> 00:53:41,840 Speaker 1: the head Swift cold S