1 00:00:00,080 --> 00:00:03,880 Speaker 1: Hello the Internet, A Welcome to season one, episode four 2 00:00:03,920 --> 00:00:08,240 Speaker 1: of Days Like Guys My Heart Radio. This is the 3 00:00:08,240 --> 00:00:10,319 Speaker 1: podcast where we take a deep dive into American's share 4 00:00:10,360 --> 00:00:14,680 Speaker 1: consciousness and say, officially off the top, fuck the Koch Brothers, 5 00:00:14,680 --> 00:00:18,680 Speaker 1: fuck fools, fuck Rush Limbaugh, fuck but sex, fuck JK Rolling, 6 00:00:19,079 --> 00:00:31,040 Speaker 1: buck Bench, Biro, Jeffie Star, Jeffrey Star. It's Thursday, July second. 7 00:00:32,040 --> 00:00:35,440 Speaker 1: My name is Jack O'Brien a k. No one knows 8 00:00:35,479 --> 00:00:43,559 Speaker 1: what it's like to be the sweetest Tissa needest because 9 00:00:43,680 --> 00:00:48,239 Speaker 1: of my size. That is courtesy of Christie Amagucci Main 10 00:00:48,640 --> 00:00:52,680 Speaker 1: and I'm thrilled to be joined by my special guest 11 00:00:52,720 --> 00:01:03,360 Speaker 1: co host lil Zamber Sol Jamie loftus Aka. I got okay, 12 00:01:03,600 --> 00:01:05,399 Speaker 1: it's been a lot, it's been a little bit. I 13 00:01:05,440 --> 00:01:09,639 Speaker 1: forgot to ask. That's on me. I'm rusty Jack. Someone 14 00:01:10,160 --> 00:01:12,479 Speaker 1: well my say someone. I mean like five people, five 15 00:01:12,520 --> 00:01:14,440 Speaker 1: people told me I looked exactly like you in a 16 00:01:14,520 --> 00:01:19,880 Speaker 1: picture yesterday. That picture of all the pictures that I 17 00:01:19,959 --> 00:01:22,560 Speaker 1: could have been compared to you, that was not the 18 00:01:22,640 --> 00:01:25,480 Speaker 1: one I wanted to That was not that. That's the 19 00:01:25,600 --> 00:01:28,560 Speaker 1: thing I think about, but I don't wanted to be 20 00:01:28,600 --> 00:01:31,080 Speaker 1: associated with that picture. It was like one of those 21 00:01:31,120 --> 00:01:34,920 Speaker 1: panorama ones where like the face and time is somehow 22 00:01:34,959 --> 00:01:39,960 Speaker 1: warped together, and like your face looks like you were 23 00:01:40,000 --> 00:01:42,200 Speaker 1: suffering from the thing that Eric Salts had in the 24 00:01:42,200 --> 00:01:47,320 Speaker 1: mask a little bit, and people are like, it's Jack 25 00:01:50,760 --> 00:01:59,680 Speaker 1: oh Man, Okay, now that's that's uh well. We are 26 00:01:59,760 --> 00:02:03,840 Speaker 1: through to be joined in our third siege by the hilarious, 27 00:02:04,280 --> 00:02:07,000 Speaker 1: the talented one of our favorite guests here on the 28 00:02:07,040 --> 00:02:18,640 Speaker 1: Daily's like she is Danny Fernandez, Dan Dent that I 29 00:02:18,720 --> 00:02:22,680 Speaker 1: have my own ak. Thank you. Um. Also, if you 30 00:02:22,800 --> 00:02:25,919 Speaker 1: hear grunting noises, my dog has decided to be the 31 00:02:26,080 --> 00:02:29,160 Speaker 1: loudest person. She wants to be the fourth member of 32 00:02:29,160 --> 00:02:33,200 Speaker 1: this podcast. So she's on is a smring out today. 33 00:02:34,320 --> 00:02:37,079 Speaker 1: Do you see her just like going to town, like 34 00:02:37,200 --> 00:02:42,360 Speaker 1: licking herself. She is a piglet. There's a there's a 35 00:02:42,400 --> 00:02:46,200 Speaker 1: wild energy about the world today. So I'm just like 36 00:02:46,320 --> 00:02:50,239 Speaker 1: prepared for anything. I got ben Afflecks coffee order this morning, 37 00:02:50,360 --> 00:02:55,079 Speaker 1: so what alright, We're not getting to any of our 38 00:02:55,080 --> 00:02:58,280 Speaker 1: news stories today. By the way, I got his. I 39 00:02:58,280 --> 00:03:00,600 Speaker 1: got his coffee order because there was he had a 40 00:03:00,639 --> 00:03:02,760 Speaker 1: gross dunk and done his coffee order and everyone was like, 41 00:03:02,880 --> 00:03:04,880 Speaker 1: what's in this coffee cup? And I knew exactly what 42 00:03:05,000 --> 00:03:07,160 Speaker 1: was in it? And then I like fact checked it 43 00:03:07,160 --> 00:03:10,560 Speaker 1: with Boston Twitter, which is the worst Twitter, and they 44 00:03:10,680 --> 00:03:13,080 Speaker 1: and and everyone confirmed that it was like a Vanilla 45 00:03:13,160 --> 00:03:17,240 Speaker 1: Sworld Extra Extra, which is like it's like five million calories. 46 00:03:17,240 --> 00:03:22,000 Speaker 1: It's disgusting. But but but I got it, just just 47 00:03:22,000 --> 00:03:26,320 Speaker 1: just okay, got it. I was so confused. I thought 48 00:03:27,040 --> 00:03:29,720 Speaker 1: I thought you were in line behind Ben Affleck or 49 00:03:29,760 --> 00:03:32,480 Speaker 1: in front of him, and they gave you his coffee. 50 00:03:33,080 --> 00:03:36,400 Speaker 1: Got it. It's like when people when like Mark Wahlberg 51 00:03:36,520 --> 00:03:38,800 Speaker 1: was like I wake up at three am, and like 52 00:03:38,880 --> 00:03:41,480 Speaker 1: people did that. But this is the way easier version 53 00:03:41,480 --> 00:03:47,840 Speaker 1: of that, uh, way less aspirational. I do feel like 54 00:03:48,200 --> 00:03:51,440 Speaker 1: the only way I can picture Ben Affleck of these 55 00:03:51,520 --> 00:03:55,560 Speaker 1: past like five years is ordering coffee and smoking cigarettes 56 00:03:55,600 --> 00:03:59,440 Speaker 1: through a mask, Like those are the has somehow been 57 00:03:59,520 --> 00:04:04,880 Speaker 1: five years, not since he's been not doing that. A 58 00:04:04,920 --> 00:04:08,000 Speaker 1: fan of that, I'm not a fan of his, but 59 00:04:08,120 --> 00:04:11,320 Speaker 1: I was. I was intrigued by the coffee order. Yeah, no, 60 00:04:11,560 --> 00:04:17,039 Speaker 1: that's I love a super aggressive, like not even coffee anymore, 61 00:04:17,120 --> 00:04:20,120 Speaker 1: coffee order. Yeah, you walk out with this coffee order 62 00:04:20,200 --> 00:04:25,800 Speaker 1: without a mask and It's like, Wow, he doesn't care 63 00:04:25,839 --> 00:04:30,920 Speaker 1: about his health. Yeah, he has no regard for anyone. Um. Now, 64 00:04:30,960 --> 00:04:33,359 Speaker 1: people might not be able to hear this, but it's 65 00:04:33,400 --> 00:04:35,760 Speaker 1: the most audible it's ever been. That Danny has a 66 00:04:35,839 --> 00:04:38,760 Speaker 1: much better microphone than the rest of us. Maybe maybe 67 00:04:38,800 --> 00:04:40,479 Speaker 1: that's not making it all the way through to the 68 00:04:40,680 --> 00:04:43,200 Speaker 1: Do you know who gave me this microphone? Is that 69 00:04:43,240 --> 00:04:46,080 Speaker 1: what you're getting at? No, it's not, it's not. It 70 00:04:46,200 --> 00:04:52,400 Speaker 1: just sounds amazing, y'all. Did I heart? No, I'm speaking 71 00:04:52,440 --> 00:04:58,520 Speaker 1: on a microphone. I'm heart microphone and does not sound 72 00:04:58,560 --> 00:05:03,599 Speaker 1: as not sound as rich. Uh, your voice sounds like rich. 73 00:05:04,200 --> 00:05:09,120 Speaker 1: This is just my natural might I might just come 74 00:05:09,120 --> 00:05:13,839 Speaker 1: from within. Um. Anyways, I'm back in the office because 75 00:05:14,080 --> 00:05:18,800 Speaker 1: Spectrum decided to not work today in my entire neighborhood. 76 00:05:19,040 --> 00:05:21,280 Speaker 1: Is this the first time you've been back? It is 77 00:05:21,720 --> 00:05:27,200 Speaker 1: and is very clean. Uh, and we still have snacks 78 00:05:27,320 --> 00:05:30,880 Speaker 1: left over from months ago. I went back in early 79 00:05:30,960 --> 00:05:38,719 Speaker 1: corter to steal some toilet paper full disclosure. Yeah, uh yeah, 80 00:05:38,760 --> 00:05:43,279 Speaker 1: it's nice. Uh. We there's been some major upgrades. Uh, 81 00:05:43,320 --> 00:05:47,000 Speaker 1: and we're thrilled to be back. All right, Danny, We're 82 00:05:47,000 --> 00:05:48,920 Speaker 1: going to get to know you a little bit better 83 00:05:48,960 --> 00:05:50,880 Speaker 1: in a moment. First, we're gonna tell our listeners a 84 00:05:50,920 --> 00:05:53,720 Speaker 1: couple of things we're talking about today. We're going to 85 00:05:53,839 --> 00:05:57,279 Speaker 1: talk about. So, we have a new study that kind 86 00:05:57,279 --> 00:06:02,840 Speaker 1: of independently verifies how many people will have died courtesy 87 00:06:03,000 --> 00:06:08,479 Speaker 1: of COVID nineteen. And it is basically what we thought 88 00:06:08,480 --> 00:06:10,800 Speaker 1: it was. It's like a little bit more than the 89 00:06:11,880 --> 00:06:15,080 Speaker 1: you know, the estimate based on death certificates and all 90 00:06:15,120 --> 00:06:18,880 Speaker 1: that good stuff. Uh. And it's you know, it's what 91 00:06:19,000 --> 00:06:21,520 Speaker 1: I think most of our listeners think it is. But 92 00:06:21,640 --> 00:06:26,120 Speaker 1: it's important to get the like this officially, you know, 93 00:06:26,240 --> 00:06:30,359 Speaker 1: makes any claim that this is just a panic, complete bullshit, 94 00:06:30,560 --> 00:06:35,320 Speaker 1: like scientifically and independently. So that's good. We're gonna talk 95 00:06:35,520 --> 00:06:38,920 Speaker 1: not really at all good, but Uh, we're gonna talk 96 00:06:38,920 --> 00:06:42,880 Speaker 1: about that gun toting lawyer who we we talked about 97 00:06:43,040 --> 00:06:51,880 Speaker 1: yesterday's episode now making the rounds in the media. Uh incoherently. Yeah, Yeah, 98 00:06:52,080 --> 00:06:56,680 Speaker 1: the gun total lawyer. It's like that's like in my judges, 99 00:06:56,880 --> 00:07:02,600 Speaker 1: like trash can on his map. Uh. We're gonna talk 100 00:07:02,600 --> 00:07:06,560 Speaker 1: about Trump's official stance on Russia putting hits on US 101 00:07:06,600 --> 00:07:10,560 Speaker 1: troops being it's a hoax. Uh. And also his official 102 00:07:10,640 --> 00:07:13,920 Speaker 1: stance on the w w E, which is that it 103 00:07:14,080 --> 00:07:17,720 Speaker 1: is real. He believes wrestling Israel. We'll talk about that. 104 00:07:17,760 --> 00:07:20,840 Speaker 1: We'll ask you guys, what is your gas station meal. 105 00:07:21,680 --> 00:07:27,160 Speaker 1: We're gonna talk about what our Netflix rewatches. We are 106 00:07:27,800 --> 00:07:32,640 Speaker 1: not recording an episode tomorrow, so we are going to 107 00:07:32,760 --> 00:07:37,880 Speaker 1: do our Netflix assignments tonight. All of that plenty more. 108 00:07:37,920 --> 00:07:40,640 Speaker 1: But first, Danny, what is something from your search history 109 00:07:40,680 --> 00:07:43,520 Speaker 1: that is revealing about who you are? Oh? Man, let 110 00:07:43,600 --> 00:07:48,440 Speaker 1: me pull it up right now and see. Um. Oh no, 111 00:07:49,480 --> 00:07:58,920 Speaker 1: this is so embarrassing. It's modern wall accents. No, that's 112 00:07:58,960 --> 00:08:01,600 Speaker 1: the most embarrass It should just be like girl on 113 00:08:01,680 --> 00:08:04,320 Speaker 1: girl something or whatever, which is like the next tab, 114 00:08:04,680 --> 00:08:10,800 Speaker 1: but they're modern wall accent. This is so embarrassing, Like 115 00:08:10,920 --> 00:08:13,880 Speaker 1: I just, I mean it is, but like, what better 116 00:08:13,920 --> 00:08:17,280 Speaker 1: time to redesign your space that you're confined in for 117 00:08:17,360 --> 00:08:21,960 Speaker 1: the rest of eternity as we know it? Yeah, I mean, 118 00:08:22,000 --> 00:08:28,080 Speaker 1: because of my uh spectrum issues with spectrum Internet, I 119 00:08:28,160 --> 00:08:31,520 Speaker 1: have had a series of backgrounds that are like cardboard 120 00:08:31,520 --> 00:08:35,400 Speaker 1: boxes in the basement and like our washer dryer out 121 00:08:35,400 --> 00:08:40,079 Speaker 1: in the garage, and it just I am always amazed 122 00:08:40,360 --> 00:08:46,360 Speaker 1: and very impressed by people with a coherent messan scene 123 00:08:46,400 --> 00:08:49,520 Speaker 1: behind them during a zoom calling you, I was going 124 00:08:49,559 --> 00:08:54,679 Speaker 1: to compliment you on your wallet, thank you. This is 125 00:08:54,720 --> 00:08:57,199 Speaker 1: also this is cheating. But I have two other ones 126 00:08:57,240 --> 00:08:59,360 Speaker 1: in here that I'm just looking at since I pulled 127 00:08:59,360 --> 00:09:01,960 Speaker 1: open my tab abbs just to give you an inside. 128 00:09:02,080 --> 00:09:07,240 Speaker 1: One is Lindsay Lohan and Hillary Duff from the two 129 00:09:07,280 --> 00:09:11,040 Speaker 1: thousand's the Eron Carter drama, Yes, the Aaron Carter, Chad 130 00:09:11,080 --> 00:09:13,440 Speaker 1: Michael Murray. And then another one is why do I 131 00:09:13,480 --> 00:09:22,200 Speaker 1: feel bursts of needle like electric shocks in my No, 132 00:09:22,360 --> 00:09:25,040 Speaker 1: it's because I have some autoimmune issues and stuff and 133 00:09:25,160 --> 00:09:28,280 Speaker 1: so um. But anyways, it's just funny. And then I 134 00:09:28,320 --> 00:09:30,719 Speaker 1: have what we do in the Shadows movie. Anyways, it's 135 00:09:30,760 --> 00:09:33,760 Speaker 1: just it's the full spectrum of Danny's brain. I mean, 136 00:09:33,840 --> 00:09:36,240 Speaker 1: I think that's a great way of finding out who 137 00:09:36,280 --> 00:09:40,600 Speaker 1: you are now everybody, truly you are a superhero with 138 00:09:40,679 --> 00:09:44,520 Speaker 1: electricity coursing through their hands, who cares about their surrounding 139 00:09:45,440 --> 00:09:52,440 Speaker 1: gorgeous modern wall exactly. What is something you think is underrated? Underrated? 140 00:09:52,480 --> 00:09:56,040 Speaker 1: I think is fostering animals. I think a lot of 141 00:09:56,080 --> 00:09:58,960 Speaker 1: times people think you have to adopt and adopting, which 142 00:09:59,000 --> 00:10:02,840 Speaker 1: is great is a huge commitment, and like not everyone 143 00:10:02,920 --> 00:10:07,000 Speaker 1: is ready for that, but fostering, for me gets that itch, 144 00:10:07,440 --> 00:10:09,760 Speaker 1: like because I already have a dog, and I fostered 145 00:10:09,760 --> 00:10:12,760 Speaker 1: and adopted several animals, and like sometimes, especially in my 146 00:10:12,800 --> 00:10:16,640 Speaker 1: little one bedroom apartment, I can't have more permanently, but 147 00:10:16,720 --> 00:10:19,040 Speaker 1: like I can for a month while they're trying to 148 00:10:19,480 --> 00:10:22,760 Speaker 1: re home. And so I really encourage people to foster, 149 00:10:23,280 --> 00:10:25,080 Speaker 1: especially like if you're like, oh, I need a puppy, 150 00:10:25,160 --> 00:10:27,319 Speaker 1: I have the puppy, like itch, and then you can 151 00:10:27,600 --> 00:10:30,000 Speaker 1: have them, but then have them like go to somebody 152 00:10:30,040 --> 00:10:33,480 Speaker 1: that can actually take care of them permanently forever. So 153 00:10:34,480 --> 00:10:37,000 Speaker 1: I think fostering, like not enough people do it, and 154 00:10:37,040 --> 00:10:39,280 Speaker 1: I think it is really helpful just to get them 155 00:10:39,320 --> 00:10:42,720 Speaker 1: out of the cages and out of the shelter, you know, 156 00:10:42,880 --> 00:10:47,080 Speaker 1: until they get into another home. So it's underrated. Absolutely. 157 00:10:47,840 --> 00:10:51,080 Speaker 1: What is something you think is overrated? Overrated as binging 158 00:10:51,240 --> 00:10:54,760 Speaker 1: binging television? I don't think that that's how TV is 159 00:10:54,800 --> 00:11:05,040 Speaker 1: meant to be watched, Like I think we don't jack no, 160 00:11:05,200 --> 00:11:07,640 Speaker 1: But I mean, okay, these these might not be the 161 00:11:07,679 --> 00:11:10,720 Speaker 1: most controversial things, but there are things that people don't 162 00:11:10,720 --> 00:11:14,120 Speaker 1: think of as a television writer, it really you're like, 163 00:11:14,240 --> 00:11:18,200 Speaker 1: because there's a huge movement and now like critical YouTube 164 00:11:18,280 --> 00:11:21,640 Speaker 1: videos and like just everybody being super hypercritical of media, 165 00:11:22,040 --> 00:11:24,800 Speaker 1: and I just think a lot of television isn't meant 166 00:11:24,800 --> 00:11:27,160 Speaker 1: to be binged. I think we end up being antsy 167 00:11:27,360 --> 00:11:30,280 Speaker 1: and we're like the show moved really slowly, and it's 168 00:11:30,320 --> 00:11:32,280 Speaker 1: like did the show move slow or were you just 169 00:11:32,320 --> 00:11:34,280 Speaker 1: like so anty to get to the next episode so 170 00:11:34,400 --> 00:11:37,160 Speaker 1: you could be done with the series. So like, I 171 00:11:37,200 --> 00:11:39,840 Speaker 1: guess as a creator and as someone that is, you know, 172 00:11:39,920 --> 00:11:42,560 Speaker 1: writing some of the it just I just don't know 173 00:11:42,600 --> 00:11:45,679 Speaker 1: if all television is meant to be I don't think 174 00:11:45,679 --> 00:11:47,360 Speaker 1: our brains are meant to take it in that way. 175 00:11:47,840 --> 00:11:50,640 Speaker 1: I'm finding that to be very true with I May 176 00:11:50,800 --> 00:11:55,280 Speaker 1: Destroy You, or I went into like saving up a 177 00:11:55,360 --> 00:11:57,439 Speaker 1: couple of episodes. I'm like, Okay, I'm gonna watch three 178 00:11:57,480 --> 00:12:00,560 Speaker 1: at once. But it is simply not that kind of ship. 179 00:12:00,720 --> 00:12:03,800 Speaker 1: Like after watching an episode, I'm like, I need some time, 180 00:12:04,440 --> 00:12:08,480 Speaker 1: I need to process, Like it's such a good, rich 181 00:12:09,280 --> 00:12:13,280 Speaker 1: show that I wouldn't want to sit like have it 182 00:12:13,400 --> 00:12:17,240 Speaker 1: in one sitting, if that makes sense. Really, yeah, a 183 00:12:17,280 --> 00:12:20,840 Speaker 1: lot of people don't realize that when Big Bang Theory 184 00:12:20,920 --> 00:12:24,040 Speaker 1: and Young Sheldon first came on the air like they 185 00:12:24,040 --> 00:12:27,400 Speaker 1: were not like they were meant to be enjoyed over 186 00:12:27,520 --> 00:12:34,720 Speaker 1: weeks and not. Yeah, no, absolutely, like I can't take 187 00:12:34,760 --> 00:12:37,400 Speaker 1: that sort of thing in all at once. I hate 188 00:12:37,520 --> 00:12:40,360 Speaker 1: Jack for making fun of my my takes, like, like 189 00:12:40,400 --> 00:12:46,160 Speaker 1: my takes, what's underrated, like drinking water? Everyone should drink water. No, 190 00:12:46,320 --> 00:12:48,319 Speaker 1: I think that's what I think. It's a really good point. 191 00:12:48,480 --> 00:12:52,640 Speaker 1: I've definitely found myself overwhelmed by a show that is 192 00:12:52,679 --> 00:12:55,680 Speaker 1: like two dents uh, and Big Bang Theory is not 193 00:12:55,760 --> 00:12:58,839 Speaker 1: its just being a dick. I also just think people 194 00:12:58,920 --> 00:13:01,199 Speaker 1: like are if you were to recommend it somebody like 195 00:13:01,320 --> 00:13:03,680 Speaker 1: nah it was it was too slow or not, it 196 00:13:03,720 --> 00:13:05,760 Speaker 1: didn't like And I think it would have been that 197 00:13:05,800 --> 00:13:09,400 Speaker 1: piece of art that literally those creators spent like months 198 00:13:09,440 --> 00:13:12,200 Speaker 1: to a year of their life making might have been 199 00:13:12,200 --> 00:13:14,680 Speaker 1: more enjoyable for you if you didn't binge it. So 200 00:13:14,960 --> 00:13:17,439 Speaker 1: that's just what I'm saying as a creator totally, as 201 00:13:17,480 --> 00:13:21,400 Speaker 1: somebody who's like in writer's rooms, does that conversation ever 202 00:13:21,559 --> 00:13:24,240 Speaker 1: come up where it's just like, well, people are going 203 00:13:24,280 --> 00:13:27,200 Speaker 1: to be watching this not over weeks, but over the 204 00:13:27,200 --> 00:13:29,839 Speaker 1: course thousand percent In fact, the last show I worked 205 00:13:29,880 --> 00:13:32,720 Speaker 1: on was at Netflix, and so we literally at the 206 00:13:32,840 --> 00:13:35,760 Speaker 1: end of our episode had to have a cliffhanger so 207 00:13:35,800 --> 00:13:38,160 Speaker 1: that the little five seconds it gives you before it 208 00:13:38,160 --> 00:13:40,360 Speaker 1: goes to the next episode, you would you would want 209 00:13:40,400 --> 00:13:43,120 Speaker 1: to watch it, you cannot have. So like with network TV, 210 00:13:43,240 --> 00:13:45,120 Speaker 1: it all ties up, not all the time, but a 211 00:13:45,120 --> 00:13:46,920 Speaker 1: lot of times, the end of the episode ties up 212 00:13:46,920 --> 00:13:50,280 Speaker 1: and somewhat of a conclusion, like somewhat of a little 213 00:13:50,320 --> 00:13:52,400 Speaker 1: bow that you can take with you until the next week. 214 00:13:52,960 --> 00:13:56,959 Speaker 1: But um, not all the times. But Netflix, you at 215 00:13:56,960 --> 00:13:59,199 Speaker 1: the end of our final act. It's like when we 216 00:13:59,240 --> 00:14:02,840 Speaker 1: don't even have a because we don't have commercials. But 217 00:14:03,600 --> 00:14:06,000 Speaker 1: structurally at the end of the episode, it has to 218 00:14:06,040 --> 00:14:08,960 Speaker 1: be a cliffhanger for you to go into the next episode. 219 00:14:09,480 --> 00:14:12,520 Speaker 1: Something I've found that it's always disorienting for me is 220 00:14:12,679 --> 00:14:16,880 Speaker 1: like there is between episodes you are encouraged to not 221 00:14:17,000 --> 00:14:20,200 Speaker 1: repeat information, and because that is like going to throw 222 00:14:20,400 --> 00:14:23,320 Speaker 1: a listener out there, like or a view we're off there, 223 00:14:23,320 --> 00:14:25,400 Speaker 1: like oh no, no no, no, they just watched the last episode. 224 00:14:25,400 --> 00:14:27,600 Speaker 1: You don't need to. Like you know, in the a 225 00:14:27,640 --> 00:14:29,040 Speaker 1: t V used to be where you sort of had 226 00:14:29,040 --> 00:14:31,120 Speaker 1: to recap what happened last week at the beginning, but 227 00:14:31,200 --> 00:14:34,080 Speaker 1: now it's like, yeah, don't do that. It will encourage 228 00:14:34,080 --> 00:14:35,880 Speaker 1: people to turn it off because they'll feel, you know, 229 00:14:36,080 --> 00:14:40,880 Speaker 1: condescended to Yeah. But I feel like Terry Gross Interviews 230 00:14:40,960 --> 00:14:42,920 Speaker 1: that this is I feel like she's a really good 231 00:14:42,960 --> 00:14:47,480 Speaker 1: example of somebody who is coming from a previous media 232 00:14:47,760 --> 00:14:51,000 Speaker 1: where you had to reset constantly. She's always like, if 233 00:14:51,040 --> 00:14:53,040 Speaker 1: you're just joining me, this is happening, and this is 234 00:14:53,080 --> 00:14:57,120 Speaker 1: who I'm talking to, and in podcast form, it doesn't 235 00:14:57,160 --> 00:14:59,920 Speaker 1: bother me because it just allows you to take thing 236 00:15:00,120 --> 00:15:03,320 Speaker 1: is in at a pace that is very easy, and 237 00:15:04,000 --> 00:15:06,400 Speaker 1: you know, you're not just I don't know like that. 238 00:15:06,560 --> 00:15:09,320 Speaker 1: I think sometimes you're right that, like, it's not always 239 00:15:09,320 --> 00:15:12,120 Speaker 1: bad to repeat things. Obviously you don't want to do 240 00:15:12,160 --> 00:15:14,840 Speaker 1: it in a way that is like banging people over 241 00:15:14,880 --> 00:15:19,640 Speaker 1: the head. But um, yeah, so I don't know, I 242 00:15:19,680 --> 00:15:24,680 Speaker 1: don't know what. I don't know what which I prefer, 243 00:15:24,880 --> 00:15:30,240 Speaker 1: but it's interesting. Uh. And finally, Danny, what is a myth? 244 00:15:30,320 --> 00:15:32,520 Speaker 1: What's something people think it's true you know to be false. 245 00:15:32,800 --> 00:15:34,800 Speaker 1: There is something that a lot of people think is 246 00:15:34,840 --> 00:15:37,680 Speaker 1: true that I absolutely know to be false, and that 247 00:15:37,880 --> 00:15:43,000 Speaker 1: is Jersey Mike's um black Lives Matter statement which I'm 248 00:15:43,000 --> 00:15:45,840 Speaker 1: going to read right here. It was under an official 249 00:15:45,920 --> 00:15:50,040 Speaker 1: Jersey Mike's logo and it said, we hear at Jersey 250 00:15:50,080 --> 00:15:53,440 Speaker 1: Mike's are always striving for greatness with our standards, but 251 00:15:53,480 --> 00:15:56,000 Speaker 1: also in our community. We have listened to the larger 252 00:15:56,080 --> 00:16:00,200 Speaker 1: cultural conversation have decided that effective tomorrow July one, are 253 00:16:00,240 --> 00:16:03,360 Speaker 1: famous b LT Bacon Lettuce and Tomato sandwich will now 254 00:16:03,400 --> 00:16:07,080 Speaker 1: be known as the b l M Bacon Lettuce Inmato Sandwich. 255 00:16:07,160 --> 00:16:12,520 Speaker 1: Black Lives Matter. Now, a lot of folks were sharing 256 00:16:12,560 --> 00:16:16,080 Speaker 1: this like it was real. It us in comedy Twitter, 257 00:16:16,840 --> 00:16:19,080 Speaker 1: you know that this myth is not true, and it 258 00:16:19,160 --> 00:16:23,280 Speaker 1: was created by the devil himself. Yes, or Lester, who 259 00:16:23,320 --> 00:16:26,560 Speaker 1: is a comedian and my most hated friend. Just kidding, yessir. 260 00:16:26,600 --> 00:16:29,800 Speaker 1: I love you very talented, very very funny man who 261 00:16:30,280 --> 00:16:33,400 Speaker 1: made this as a joke and it took off in 262 00:16:33,520 --> 00:16:36,840 Speaker 1: other areas of Twitter, where Yaser then had to like 263 00:16:37,400 --> 00:16:39,920 Speaker 1: ruin the joke, which sucks. I hate when comedians don't 264 00:16:39,920 --> 00:16:42,240 Speaker 1: get to keep their joke and be like, it's clear 265 00:16:42,840 --> 00:16:45,160 Speaker 1: this is fake. But as I sent it to some 266 00:16:45,240 --> 00:16:47,680 Speaker 1: of my other friends in comedy, they were like to 267 00:16:48,040 --> 00:16:51,040 Speaker 1: knowing today like who knows some of these companies saying 268 00:16:51,040 --> 00:16:56,200 Speaker 1: this wild ship? Who knows everything about that is basically 269 00:16:56,280 --> 00:17:01,920 Speaker 1: like a note perfect like recreation of how a lot 270 00:17:01,960 --> 00:17:07,560 Speaker 1: of corporations are addressing like the current the current moment 271 00:17:08,160 --> 00:17:12,199 Speaker 1: as they as they describe it. But I just like 272 00:17:13,440 --> 00:17:16,560 Speaker 1: the word NATO is so silly, Like that's it's like 273 00:17:16,680 --> 00:17:20,080 Speaker 1: perfect up to the word NATO, and then it's just yeah, 274 00:17:20,160 --> 00:17:23,320 Speaker 1: that's what's so great about it. That's what's well, what's funny, 275 00:17:23,320 --> 00:17:25,639 Speaker 1: you know whatever. There's like something printed in the newspaper 276 00:17:25,680 --> 00:17:29,560 Speaker 1: and then there's a retraction. You never really see the retraction, right, 277 00:17:29,560 --> 00:17:32,600 Speaker 1: it doesn't go viral the way that the first part does, 278 00:17:32,840 --> 00:17:35,520 Speaker 1: the publication. And that's how I feel about this, that 279 00:17:35,600 --> 00:17:38,720 Speaker 1: this has been shared on so many people's instagrams and 280 00:17:38,800 --> 00:17:42,399 Speaker 1: like feeds and like activists and stuff like that, and 281 00:17:42,720 --> 00:17:44,959 Speaker 1: nobody's going to see yas or being like putting up 282 00:17:45,000 --> 00:17:48,560 Speaker 1: his little hand and being like it was me. So 283 00:17:49,760 --> 00:17:52,800 Speaker 1: Yasir is a bad person. No. I love him, and 284 00:17:52,800 --> 00:17:54,879 Speaker 1: and he also did. We talked about other things he 285 00:17:54,880 --> 00:17:57,320 Speaker 1: did he did, like shaving your eyebrows for Black Lives 286 00:17:57,359 --> 00:18:01,840 Speaker 1: Matter and convincing white people if he's if he convinced 287 00:18:01,880 --> 00:18:05,000 Speaker 1: one person to shave their eyebrows, that is both the 288 00:18:05,040 --> 00:18:12,600 Speaker 1: funniest and meanest joke. Uh, there's a second one he 289 00:18:12,680 --> 00:18:15,840 Speaker 1: was doing, getting white people taking pictures of themselves in fedors. 290 00:18:16,000 --> 00:18:18,080 Speaker 1: I mean, the man is a gift, right, the man 291 00:18:18,200 --> 00:18:22,600 Speaker 1: is a gift. He is um an artist clearly, and 292 00:18:22,680 --> 00:18:29,560 Speaker 1: this is his work, this is his Sistine chapel. But 293 00:18:29,680 --> 00:18:34,880 Speaker 1: it's it's interesting because like the eyebrows and fedoras were 294 00:18:34,920 --> 00:18:37,359 Speaker 1: coming from him, so like I can see people like 295 00:18:37,480 --> 00:18:42,520 Speaker 1: catching on, like this is the issue that Nathan Felder 296 00:18:42,560 --> 00:18:47,680 Speaker 1: and or Fielder what is it Felder, Nathan Fielder, Nathan 297 00:18:48,040 --> 00:18:51,840 Speaker 1: for you his last name for you, and Sasha Baron 298 00:18:51,840 --> 00:18:54,480 Speaker 1: Cohen like ran into his Like people caught onto the 299 00:18:54,520 --> 00:18:57,200 Speaker 1: fact that they were fool of ship. But like I 300 00:18:58,080 --> 00:19:03,080 Speaker 1: see an amazing future for him. Uh impersonating brands and 301 00:19:03,160 --> 00:19:09,320 Speaker 1: doing this like because uh, there's there's just no depth 302 00:19:09,480 --> 00:19:12,280 Speaker 1: that I feel like brands won't think to an awkwardness. 303 00:19:12,720 --> 00:19:16,840 Speaker 1: Uh when it comes to trying to wrap their messaging 304 00:19:17,000 --> 00:19:21,480 Speaker 1: around the present moment. Although I was driving in a 305 00:19:21,560 --> 00:19:23,280 Speaker 1: car for the for for the first time in a 306 00:19:23,320 --> 00:19:29,120 Speaker 1: long time today, uh, and I noticed that the ads 307 00:19:29,200 --> 00:19:33,760 Speaker 1: have like stopped being kind of that same sentimental tone 308 00:19:33,800 --> 00:19:36,600 Speaker 1: that they all used to be. There's still some of those. 309 00:19:37,040 --> 00:19:41,679 Speaker 1: But I also heard a personal it's like one of 310 00:19:41,720 --> 00:19:44,160 Speaker 1: those lawyers who gets you out of d u eyes. 311 00:19:44,720 --> 00:19:48,600 Speaker 1: And the lawyer was just like, let's face it, you're 312 00:19:48,640 --> 00:19:52,560 Speaker 1: all hammered on your zoom calls. Well, if you get 313 00:19:52,880 --> 00:19:56,040 Speaker 1: arrested for being drunk and driving them, like, call me. 314 00:19:56,200 --> 00:20:00,479 Speaker 1: It was like just a really aggressive I don't know. 315 00:20:00,560 --> 00:20:03,240 Speaker 1: It seemed like he had given up or the advertising 316 00:20:03,280 --> 00:20:09,879 Speaker 1: agency had given up. Anyways, were beyond the faux sentimentality, 317 00:20:09,920 --> 00:20:15,119 Speaker 1: possibly with with DUI lawyers. Well, you know, how'd it 318 00:20:15,119 --> 00:20:18,439 Speaker 1: happened at some point? All right, guys, let's take a 319 00:20:18,520 --> 00:20:31,000 Speaker 1: quick break and we'll be right back. And we're back 320 00:20:31,520 --> 00:20:35,560 Speaker 1: and okay, So there is a new study we we've 321 00:20:35,640 --> 00:20:38,080 Speaker 1: kind of been talking about the fact that we were 322 00:20:38,760 --> 00:20:43,159 Speaker 1: waiting for somebody to do a kind of rigorous statistical 323 00:20:43,240 --> 00:20:47,960 Speaker 1: analysis of you know, what the number of deaths would 324 00:20:48,040 --> 00:20:53,800 Speaker 1: be during the time period from March April may like 325 00:20:53,960 --> 00:20:57,160 Speaker 1: through the pandemic, uh, like, what it would normally be 326 00:20:57,200 --> 00:21:01,959 Speaker 1: in a normal year, given who Americans are demographically and 327 00:21:02,040 --> 00:21:05,320 Speaker 1: what it actually was because that is traditionally the best 328 00:21:05,359 --> 00:21:08,879 Speaker 1: way to uh, you know, take a step back and 329 00:21:08,960 --> 00:21:13,480 Speaker 1: like see the actual effect of an event. And they 330 00:21:13,520 --> 00:21:18,440 Speaker 1: came out with a number that through the first two 331 00:21:19,280 --> 00:21:22,199 Speaker 1: and a half months it was a hundred and twenty 332 00:21:22,240 --> 00:21:25,840 Speaker 1: two thousand extra deaths. So a hundred and twenty two 333 00:21:26,520 --> 00:21:30,600 Speaker 1: people at the very least died from COVID nineteen pandemic 334 00:21:30,640 --> 00:21:34,879 Speaker 1: in the US just by looking at that data, and 335 00:21:35,760 --> 00:21:40,400 Speaker 1: you know it, it's not far from where the actual 336 00:21:40,480 --> 00:21:42,760 Speaker 1: numbers were. It's I think the actual numbers through the 337 00:21:42,840 --> 00:21:46,640 Speaker 1: end of May were like closer to a hundred thousand, 338 00:21:47,119 --> 00:21:52,480 Speaker 1: but it's still more six figures. Yeah, yeah, I mean basically, 339 00:21:52,680 --> 00:21:57,480 Speaker 1: so you know, this is I think what most of us. 340 00:21:57,680 --> 00:22:01,600 Speaker 1: But at least what I was assuming was that, you know, 341 00:22:01,680 --> 00:22:06,680 Speaker 1: they couldn't catch every single COVID nineteen death, so there 342 00:22:06,720 --> 00:22:10,680 Speaker 1: were some people who were dying who were not you know, 343 00:22:10,880 --> 00:22:15,480 Speaker 1: they either hadn't been tested, especially earlier on, and that's 344 00:22:15,600 --> 00:22:18,920 Speaker 1: kind of exactly what they found that early on, there 345 00:22:18,920 --> 00:22:21,879 Speaker 1: were a lot of extra deaths that were not attributed 346 00:22:21,920 --> 00:22:25,960 Speaker 1: to COVID nineteen. And as the pandemic has gone on 347 00:22:26,200 --> 00:22:30,560 Speaker 1: and as uh the medical community has like learned more, 348 00:22:30,960 --> 00:22:33,400 Speaker 1: they've gotten better at like shrinking that gap, so now 349 00:22:33,440 --> 00:22:36,720 Speaker 1: we're at least catching the people who are dying of 350 00:22:36,760 --> 00:22:42,040 Speaker 1: the disease and like properly attributing it to the pandemic. 351 00:22:42,560 --> 00:22:45,880 Speaker 1: But it's it's basically the opposite of what the President said, 352 00:22:45,920 --> 00:22:49,600 Speaker 1: which was that they were that there was a exaggeration 353 00:22:49,640 --> 00:22:54,240 Speaker 1: that they were giving the pandemic credit for extra deaths. 354 00:22:54,240 --> 00:22:58,240 Speaker 1: It's that they were missing quite a few, and they 355 00:22:58,240 --> 00:23:02,800 Speaker 1: were missing quite a few in specifically in Texas and Arizona, 356 00:23:03,359 --> 00:23:09,520 Speaker 1: which you know are aggressively conservative local governments where you know, 357 00:23:09,560 --> 00:23:12,120 Speaker 1: there seems to have been some intern and also Florida 358 00:23:12,320 --> 00:23:14,879 Speaker 1: and there seems to have been some internal pressure to 359 00:23:15,200 --> 00:23:19,760 Speaker 1: undercount and that is directly resulting in what we're seeing 360 00:23:19,840 --> 00:23:25,480 Speaker 1: right now in those states. Um, it is the watching, 361 00:23:25,560 --> 00:23:29,680 Speaker 1: I mean, and it's existed for the entire pandemic so far, 362 00:23:29,720 --> 00:23:33,080 Speaker 1: but watching kind of an increase in like the normalizing 363 00:23:33,080 --> 00:23:35,000 Speaker 1: of like, well, this is going to continue to happen, 364 00:23:35,080 --> 00:23:39,880 Speaker 1: like we're like the getting used to it. No. Um 365 00:23:40,080 --> 00:23:44,080 Speaker 1: is very disturbing, especially when it's coming from like very 366 00:23:44,160 --> 00:23:46,879 Speaker 1: cool headed elected officials that are like, so, as we know, 367 00:23:47,440 --> 00:23:51,359 Speaker 1: we are going to lose thousands of people. However, bars 368 00:23:51,359 --> 00:23:55,440 Speaker 1: are open like it's just I don't know it is. 369 00:23:55,520 --> 00:23:59,680 Speaker 1: That's very disturbing, and also it makes it so difficult. Um. 370 00:23:59,720 --> 00:24:03,440 Speaker 1: I've thinking about this a lot lately about how it's 371 00:24:03,440 --> 00:24:06,399 Speaker 1: difficult to take any number that you're given at face 372 00:24:06,520 --> 00:24:09,320 Speaker 1: value and it's safe to kind of round it up 373 00:24:09,359 --> 00:24:12,600 Speaker 1: because it benefits any elected official that wants to open 374 00:24:12,680 --> 00:24:16,439 Speaker 1: their city, state, whatever it may be, to you know, 375 00:24:16,560 --> 00:24:21,000 Speaker 1: downplay what is happening while they're saying, you know, because 376 00:24:21,040 --> 00:24:23,800 Speaker 1: of the course of the pandemic, thousands more people are 377 00:24:23,840 --> 00:24:26,680 Speaker 1: going to die. It's just a fact, so we might 378 00:24:26,720 --> 00:24:29,600 Speaker 1: as well just get on with it. It's just so 379 00:24:30,520 --> 00:24:34,720 Speaker 1: callous and disregards any potential solutions you could be offering 380 00:24:35,240 --> 00:24:38,200 Speaker 1: to people who are disproportionately affected by COVID, which it 381 00:24:38,240 --> 00:24:42,240 Speaker 1: seems like nowhere is taking those precautions. It is all 382 00:24:42,320 --> 00:24:46,240 Speaker 1: like citizen based mutual aid initiatives that are you know, 383 00:24:46,280 --> 00:24:50,399 Speaker 1: at least attempting to help people. It's just well, even 384 00:24:50,440 --> 00:24:52,679 Speaker 1: in I was gonna say, even in l ayer numbers 385 00:24:52,680 --> 00:24:55,480 Speaker 1: are so off because if you remember, we had those 386 00:24:55,520 --> 00:24:58,720 Speaker 1: times when they shut down the testing to punish us 387 00:24:58,760 --> 00:25:01,880 Speaker 1: for protesting, and then and then now I just saw 388 00:25:02,000 --> 00:25:03,960 Speaker 1: Katie Stole tweet and was like, you can't even get 389 00:25:03,960 --> 00:25:06,840 Speaker 1: an appointment right now. And so I've been lucky to 390 00:25:06,880 --> 00:25:09,320 Speaker 1: go in and I've gotten tested twice just because I 391 00:25:09,400 --> 00:25:12,640 Speaker 1: was out being active and protesting for a couple of weeks, 392 00:25:12,680 --> 00:25:13,960 Speaker 1: and so it was important to me if I was 393 00:25:14,040 --> 00:25:16,439 Speaker 1: keep going out to get tested. But they did this 394 00:25:16,520 --> 00:25:19,000 Speaker 1: to us at UT. I went to school in Austin 395 00:25:19,400 --> 00:25:21,600 Speaker 1: and when age one n one was out, they actually 396 00:25:21,680 --> 00:25:24,560 Speaker 1: wouldn't test us because if you get too many positive cases, 397 00:25:24,560 --> 00:25:27,040 Speaker 1: they had to shut the school down. So they would 398 00:25:27,080 --> 00:25:29,159 Speaker 1: just tell you basically to like go kind of like 399 00:25:29,200 --> 00:25:31,840 Speaker 1: what's happening now is like and that happened at the 400 00:25:31,840 --> 00:25:34,920 Speaker 1: beginning of the pandemic as well, where it was just like, um, 401 00:25:34,920 --> 00:25:37,600 Speaker 1: if you have these symptoms, just stay home, you know, 402 00:25:37,720 --> 00:25:39,320 Speaker 1: but like so you're not. Actually so a lot of 403 00:25:39,320 --> 00:25:43,360 Speaker 1: these people who might have COVID symptoms are not even 404 00:25:43,400 --> 00:25:46,040 Speaker 1: getting tested or sometimes, especially if you're here in l A, 405 00:25:46,119 --> 00:25:48,880 Speaker 1: you can't even get tested for several days. And there's 406 00:25:48,920 --> 00:25:52,080 Speaker 1: still cities where like public testing is still not even 407 00:25:52,119 --> 00:25:55,560 Speaker 1: an option, like my my hometown there, it's still only 408 00:25:55,600 --> 00:26:00,240 Speaker 1: available to UH first responders or people with pre existing condeys. 409 00:26:00,280 --> 00:26:02,879 Speaker 1: You can't just go. And I was lucky to get 410 00:26:02,920 --> 00:26:05,479 Speaker 1: tested this morning, but it was because you literally like 411 00:26:05,520 --> 00:26:08,480 Speaker 1: I just have the tab open on my computer all 412 00:26:08,520 --> 00:26:13,080 Speaker 1: the time, and some days you'll refresh it and okay, 413 00:26:13,119 --> 00:26:15,919 Speaker 1: we care about citizens like lives today and you can 414 00:26:15,960 --> 00:26:18,199 Speaker 1: get an appointment today. And then the next day the 415 00:26:18,240 --> 00:26:21,720 Speaker 1: website is totally different and it's gone and there's no options, 416 00:26:21,760 --> 00:26:26,240 Speaker 1: and it's like it's it's fucking impossible. It's yeah. I 417 00:26:26,280 --> 00:26:31,200 Speaker 1: went on Monday to Dodger Stadium. It was the most, uh, 418 00:26:31,640 --> 00:26:33,320 Speaker 1: the most I've ever felt like I was in like 419 00:26:33,359 --> 00:26:36,439 Speaker 1: a dystopian like End of Times movie for sure, like 420 00:26:36,720 --> 00:26:41,720 Speaker 1: the big Garsetti jumbo tron like I'm the worst person 421 00:26:41,760 --> 00:26:46,720 Speaker 1: to ever live, like on a JumboTron in both English 422 00:26:46,840 --> 00:26:51,880 Speaker 1: and Spanish, and uh, you know, pup nepotism, Like it's 423 00:26:51,960 --> 00:26:55,200 Speaker 1: just so frustrating and you have to turn to hear 424 00:26:55,240 --> 00:26:58,160 Speaker 1: the audio. You have to turn your radio to like 425 00:26:58,200 --> 00:27:03,000 Speaker 1: an AM station with they don't have yeah, but they 426 00:27:03,000 --> 00:27:07,000 Speaker 1: don't have it like down so it's like wow, wow, 427 00:27:07,359 --> 00:27:10,359 Speaker 1: Like it's like got this like horrible like sounds like 428 00:27:10,400 --> 00:27:14,320 Speaker 1: it's coming through a ham radio like in the eighteen hundreds, 429 00:27:14,440 --> 00:27:18,800 Speaker 1: like it's just so bleak feeling. There was a line 430 00:27:18,880 --> 00:27:23,399 Speaker 1: that went probably three miles away from Dodgers Stadium, just 431 00:27:23,680 --> 00:27:27,240 Speaker 1: lines of cars, people sitting in them, just like you know, 432 00:27:27,440 --> 00:27:30,640 Speaker 1: going up. Unfortunately, I did not, like I wasn't going 433 00:27:30,680 --> 00:27:34,040 Speaker 1: because I felt sick at the time. I had like 434 00:27:34,160 --> 00:27:36,240 Speaker 1: made in a few days before when I felt a 435 00:27:36,240 --> 00:27:39,359 Speaker 1: little bit sick. But I was just imagining, like this 436 00:27:39,440 --> 00:27:43,080 Speaker 1: must be awful for anybody who feels sick right now 437 00:27:43,520 --> 00:27:49,240 Speaker 1: to get testing. And you know, I think, like just anecdotally, 438 00:27:49,280 --> 00:27:52,680 Speaker 1: I think that we're probably going to see a huge 439 00:27:52,680 --> 00:27:58,119 Speaker 1: spike in the next you know, few days in Los Angeles, 440 00:27:58,160 --> 00:28:01,760 Speaker 1: just because you know, last week, I know people who 441 00:28:01,760 --> 00:28:05,600 Speaker 1: went to Dodger Stadium and there was no line whatsoever. 442 00:28:05,800 --> 00:28:09,879 Speaker 1: They just went in and got tested immediately. Uh. And 443 00:28:10,560 --> 00:28:13,920 Speaker 1: I have to assume like this huge influx of people 444 00:28:14,000 --> 00:28:17,480 Speaker 1: are getting tested is because people are feeling sick. Um. Yeah, 445 00:28:17,520 --> 00:28:19,800 Speaker 1: And as of last week, I think that the report 446 00:28:19,920 --> 00:28:21,720 Speaker 1: was that it was like between four and five percent 447 00:28:21,760 --> 00:28:24,600 Speaker 1: of tests were coming back positive. It was like the 448 00:28:25,040 --> 00:28:27,879 Speaker 1: rate if you can get tested, it's probably because you 449 00:28:27,920 --> 00:28:31,639 Speaker 1: feel sick. I will say a shout out to the 450 00:28:31,640 --> 00:28:34,520 Speaker 1: people who are actually working at Dodger Stadium. They didn't 451 00:28:34,520 --> 00:28:37,520 Speaker 1: admit like the number of cars they were processing, uh, 452 00:28:37,560 --> 00:28:41,000 Speaker 1: and the speed with which they gave me the results 453 00:28:41,120 --> 00:28:44,760 Speaker 1: was pretty staggering, like really well done on their part. 454 00:28:45,760 --> 00:28:51,600 Speaker 1: And they and they have those little claws like yeah, yeah, 455 00:28:51,840 --> 00:28:54,960 Speaker 1: you're like yeah, that I usually used on the weekend 456 00:28:55,000 --> 00:28:56,880 Speaker 1: when I don't want to move and I just like 457 00:28:57,240 --> 00:29:00,280 Speaker 1: use it to pick things up around me. I was sad. 458 00:29:00,400 --> 00:29:07,040 Speaker 1: Y'all already mentioned the Oklahoma cases. Okay, so Oklahoma, um 459 00:29:07,240 --> 00:29:12,000 Speaker 1: is seeing this is from Politicus USA, but it's being 460 00:29:12,040 --> 00:29:15,720 Speaker 1: reported in like other places where Oklahoma is seen percent 461 00:29:15,840 --> 00:29:19,600 Speaker 1: positive tests rate for COVID nineteen following Trump's Tulsa rally. 462 00:29:19,760 --> 00:29:22,840 Speaker 1: So like those testing places that they're doing it, like 463 00:29:22,960 --> 00:29:29,480 Speaker 1: all of the cases are coming back positive. Um, it 464 00:29:29,640 --> 00:29:32,160 Speaker 1: is five hundred tested in two days and they all 465 00:29:32,200 --> 00:29:36,959 Speaker 1: came back positive. Ridiculous. Yeah, I can like send this 466 00:29:37,000 --> 00:29:38,720 Speaker 1: to you all so you can include have the link 467 00:29:38,800 --> 00:29:43,320 Speaker 1: of it. But I mean, it's just I don't know. 468 00:29:43,440 --> 00:29:47,600 Speaker 1: It seems obvious to me, and I don't see how 469 00:29:47,600 --> 00:29:50,040 Speaker 1: it's not obvious to anybody else at this point, Like 470 00:29:50,120 --> 00:29:52,840 Speaker 1: how how anybody's still claiming like that there's a panic. 471 00:29:53,160 --> 00:29:55,440 Speaker 1: But this is one of those cases where it's really 472 00:29:56,040 --> 00:29:59,560 Speaker 1: it's not fun to be right, it's actually horrifying. But no, 473 00:30:00,000 --> 00:30:03,800 Speaker 1: it's horrible. And also it's i mean classifying it still 474 00:30:03,800 --> 00:30:08,480 Speaker 1: as a panic. You're like, yeah, there's there's every cause 475 00:30:08,520 --> 00:30:15,320 Speaker 1: for panic. Why is panic a bad word in this situation? Um, well, 476 00:30:15,800 --> 00:30:20,000 Speaker 1: let's talk about somebody else who was panicking. Uh that 477 00:30:20,000 --> 00:30:24,720 Speaker 1: that gun toten lawyer from Mike Judge's uh rejected pilot, 478 00:30:24,840 --> 00:30:29,760 Speaker 1: the gun toten lawyer. Um, so the we're getting a 479 00:30:29,840 --> 00:30:34,360 Speaker 1: little bit more information on, uh, the surrounding of the 480 00:30:34,440 --> 00:30:37,920 Speaker 1: mcclass keys, the family, the married couple who was standing 481 00:30:37,920 --> 00:30:42,000 Speaker 1: out with Mr fifteen and a handgun threatening people who 482 00:30:42,040 --> 00:30:45,640 Speaker 1: are walking by their house. Which that's what it was, 483 00:30:45,760 --> 00:30:48,640 Speaker 1: was people standing on their line on their lawn pointing 484 00:30:48,680 --> 00:30:52,520 Speaker 1: guns at people who are walking by their house. Um, 485 00:30:52,560 --> 00:30:57,840 Speaker 1: but he's making the rounds and according to his version 486 00:30:57,880 --> 00:31:02,200 Speaker 1: of events, uh, he it was like the storming of 487 00:31:02,280 --> 00:31:08,680 Speaker 1: the best steal. Uh. And what had happened was his uh, 488 00:31:08,800 --> 00:31:12,160 Speaker 1: his neighborhood, which is a gated community. They had just 489 00:31:12,240 --> 00:31:17,520 Speaker 1: like crashed through the gates and that's that's why he 490 00:31:17,640 --> 00:31:19,880 Speaker 1: was out there that they were coming for him and 491 00:31:19,920 --> 00:31:25,360 Speaker 1: for his family. Basically said like it was terrorism and intimidation. Okay, 492 00:31:25,440 --> 00:31:28,520 Speaker 1: good for him for feeling that way. Yeah. I meanwhile, 493 00:31:28,520 --> 00:31:30,960 Speaker 1: when you look at the video, it's just people being like, yeah, 494 00:31:31,000 --> 00:31:35,040 Speaker 1: I don't stop, don't just ignore them as they walked 495 00:31:35,080 --> 00:31:37,840 Speaker 1: by them. That's so. Also, it's kind of funny that 496 00:31:37,880 --> 00:31:40,520 Speaker 1: he uses storming of the Best Deal because like if 497 00:31:40,560 --> 00:31:43,840 Speaker 1: he knew, like the historical president for that the people 498 00:31:43,840 --> 00:31:47,560 Speaker 1: who stormed the Best Deal were a grieved citizens who 499 00:31:47,600 --> 00:31:50,680 Speaker 1: were correct, and the people in the Best Deal were evil, 500 00:31:51,200 --> 00:31:56,960 Speaker 1: so that uh you know that what? Yeah, Okay, I 501 00:31:57,000 --> 00:31:59,680 Speaker 1: don't know. I'm like I always I'm like, why do 502 00:31:59,760 --> 00:32:04,360 Speaker 1: we give these like losers platforms after they have publicly 503 00:32:04,400 --> 00:32:06,680 Speaker 1: showed their ass in such a stupid way. But it 504 00:32:06,840 --> 00:32:09,920 Speaker 1: is also like, I mean, they just continue to show 505 00:32:09,920 --> 00:32:12,479 Speaker 1: their ass. I guess it's kind of I don't know, 506 00:32:12,720 --> 00:32:16,479 Speaker 1: I don't know. Yeah, it's I mean, it's mixed. I 507 00:32:16,520 --> 00:32:20,960 Speaker 1: saw um my friend Brody who was like, please stop 508 00:32:21,000 --> 00:32:24,200 Speaker 1: making fun of this. It's terrifying, and like I get it. 509 00:32:24,400 --> 00:32:26,720 Speaker 1: You know, it's like how many of these people, these 510 00:32:26,720 --> 00:32:29,760 Speaker 1: white folks with guns or these Karen's that everyone keeps going. 511 00:32:29,800 --> 00:32:31,680 Speaker 1: But it's like you said, it's just rinse and repeat, 512 00:32:32,520 --> 00:32:35,560 Speaker 1: and you know this video of like a Karen smacking 513 00:32:36,000 --> 00:32:38,880 Speaker 1: uh an Indigenous woman and then getting her ass handed 514 00:32:38,920 --> 00:32:41,240 Speaker 1: to her. But it's also just like and it's great, 515 00:32:41,240 --> 00:32:43,400 Speaker 1: everyone's like dunking on them, but at some point it's 516 00:32:43,440 --> 00:32:45,360 Speaker 1: just like, this is what we're saying that this is 517 00:32:45,400 --> 00:32:48,280 Speaker 1: just like you know, and I think I think people 518 00:32:48,440 --> 00:32:51,120 Speaker 1: use comedy as a way to cope with what's going on, 519 00:32:51,400 --> 00:32:53,800 Speaker 1: but also I think like just making fun of white 520 00:32:53,800 --> 00:32:56,040 Speaker 1: people being allowed to be out with their guns is 521 00:32:56,080 --> 00:32:59,080 Speaker 1: really triggering. So it is it's kind of like what 522 00:32:59,120 --> 00:33:01,320 Speaker 1: you're saying, Jamie, like often how many times are we 523 00:33:01,360 --> 00:33:04,040 Speaker 1: going to like give them this platform. I will say 524 00:33:04,040 --> 00:33:06,680 Speaker 1: that I enjoyed seeing at the at the beginning of 525 00:33:06,760 --> 00:33:09,120 Speaker 1: when this was happening, that guy from the Law and 526 00:33:09,320 --> 00:33:11,320 Speaker 1: Order show, it was like the spinoff show. Do you 527 00:33:11,360 --> 00:33:14,840 Speaker 1: remember he was like not a showrunner, but he was 528 00:33:14,880 --> 00:33:16,760 Speaker 1: like one of the writers. And he took a picture 529 00:33:16,960 --> 00:33:19,880 Speaker 1: in West Hollywood. I'm like, funk out of here with 530 00:33:20,640 --> 00:33:23,240 Speaker 1: who's going to attack you? And fucking wiho. But whatever 531 00:33:23,560 --> 00:33:26,800 Speaker 1: he had his he had like a massive gun that 532 00:33:26,840 --> 00:33:28,680 Speaker 1: he was in front of his and he was like 533 00:33:28,680 --> 00:33:30,960 Speaker 1: like basically saying like he was going to shoot up 534 00:33:31,000 --> 00:33:36,520 Speaker 1: looters or whatever, and he got fired. Drew Johnda actually 535 00:33:36,640 --> 00:33:38,360 Speaker 1: shout out to Drew is the one that got him 536 00:33:38,360 --> 00:33:41,920 Speaker 1: fired because he like took that picture from like Facebook 537 00:33:42,000 --> 00:33:45,000 Speaker 1: or whatever and posted it and Drew, Yeah, it's I mean, 538 00:33:45,240 --> 00:33:48,320 Speaker 1: stuff like that is like, Okay, at least there are 539 00:33:48,560 --> 00:33:50,720 Speaker 1: I guess, yeah, And in the situation with this lawyer, 540 00:33:50,960 --> 00:33:56,240 Speaker 1: there are no consequences. He's just getting a sustained platform 541 00:33:56,360 --> 00:33:59,960 Speaker 1: to continue to talk his ship and like, and then 542 00:34:00,000 --> 00:34:02,400 Speaker 1: it just becomes this uncomfortable situation where it's like, I 543 00:34:02,400 --> 00:34:04,320 Speaker 1: guess the only thing you can do is make fun 544 00:34:04,360 --> 00:34:07,760 Speaker 1: of him. But you know, it's like the media is 545 00:34:07,800 --> 00:34:11,560 Speaker 1: actively making a decision to platform this person totally as 546 00:34:11,600 --> 00:34:14,920 Speaker 1: opposed to like, there are still protests going on that 547 00:34:15,040 --> 00:34:17,640 Speaker 1: should be that are not getting recognition, that still have 548 00:34:17,760 --> 00:34:20,880 Speaker 1: thousands of people showing up, um even the latest one 549 00:34:20,920 --> 00:34:23,400 Speaker 1: that was in Chicago, and everyone's like nobody is looking 550 00:34:23,400 --> 00:34:25,920 Speaker 1: at this, and instead it's literally all of the media 551 00:34:26,040 --> 00:34:29,440 Speaker 1: is covering these two dumb masses with guns as opposed 552 00:34:29,480 --> 00:34:31,680 Speaker 1: to the people on the ground still trying to do 553 00:34:31,719 --> 00:34:36,920 Speaker 1: the work. So I definitely understand the frustration here. I mean, 554 00:34:36,960 --> 00:34:38,520 Speaker 1: at least the guy that worked on the Law and 555 00:34:38,600 --> 00:34:43,359 Speaker 1: Order show got fired. Um. But it's also like when 556 00:34:43,400 --> 00:34:47,120 Speaker 1: Dick wolf does a good thing, what you know, if 557 00:34:47,160 --> 00:34:49,200 Speaker 1: Dick wolf Wolf does a good thing and no one's 558 00:34:49,239 --> 00:34:53,520 Speaker 1: there to see it didn't happen, They're like, he's still 559 00:34:53,560 --> 00:34:58,200 Speaker 1: in charge of like the largest copaganda operation on the planet. 560 00:34:59,080 --> 00:35:04,200 Speaker 1: I don't know, do we know named Richard Wolfe and 561 00:35:04,239 --> 00:35:09,480 Speaker 1: he goes by Dick Wolfe because that's such a like 562 00:35:09,560 --> 00:35:13,880 Speaker 1: that is a decision Richard, Yeah, Richard Anthony Wolfe. He 563 00:35:13,920 --> 00:35:16,120 Speaker 1: could have been Tony Wolfe, but he made he made 564 00:35:16,120 --> 00:35:19,280 Speaker 1: the choice. Will shout out to them though for immediately 565 00:35:19,800 --> 00:35:25,400 Speaker 1: firing him, like immediately they've made a statement that factors 566 00:35:25,400 --> 00:35:27,839 Speaker 1: into something that it was has been on my mind 567 00:35:27,880 --> 00:35:30,800 Speaker 1: recently as well, which is like that it is so 568 00:35:31,320 --> 00:35:35,440 Speaker 1: positive and like affirming to see people held accountable for 569 00:35:35,920 --> 00:35:40,680 Speaker 1: uh being hateful and being like literally an unsafe person 570 00:35:41,160 --> 00:35:44,279 Speaker 1: uh to be working with. That said, it is still 571 00:35:44,320 --> 00:35:48,279 Speaker 1: really frustrating to me that the only conceivable way that 572 00:35:48,400 --> 00:35:52,680 Speaker 1: I have seen this be accomplished is through like a 573 00:35:52,800 --> 00:35:59,760 Speaker 1: company or a an executive's anxiety about like being publicly shamed, 574 00:35:59,800 --> 00:36:03,400 Speaker 1: like that is the only thing I've ever seen, Jamie. 575 00:36:03,480 --> 00:36:05,640 Speaker 1: You saw you saw what happened with me with that 576 00:36:05,719 --> 00:36:08,360 Speaker 1: guy from Sovos, the guy that I got fired, And 577 00:36:08,400 --> 00:36:12,680 Speaker 1: it's true. So so just the background listener is a 578 00:36:12,680 --> 00:36:16,080 Speaker 1: account executive sent me a picture of his dick and 579 00:36:16,160 --> 00:36:19,239 Speaker 1: he caught me on the bad fucking morning because I 580 00:36:19,280 --> 00:36:21,000 Speaker 1: just was like, funk this ship. I'm not going to 581 00:36:21,080 --> 00:36:23,960 Speaker 1: deal with this anymore. Sorry for the language, and I 582 00:36:24,000 --> 00:36:26,960 Speaker 1: tweeted it out. I said, who is this guy? Um, 583 00:36:27,120 --> 00:36:29,680 Speaker 1: get me his info. I want his work. And the 584 00:36:29,760 --> 00:36:33,680 Speaker 1: Internet is terrifying because within ten minutes it was like, 585 00:36:33,719 --> 00:36:35,959 Speaker 1: this is where he works, here's his LinkedIn. He also 586 00:36:36,080 --> 00:36:38,440 Speaker 1: then changed. We knew it was him because he immediately 587 00:36:38,520 --> 00:36:41,719 Speaker 1: changed his LinkedIn last name and like I'm like no. 588 00:36:42,200 --> 00:36:43,680 Speaker 1: I was like, honey, who do you think we are? 589 00:36:43,760 --> 00:36:46,640 Speaker 1: We're very petty. This is the Internet they're gonna you know. 590 00:36:47,120 --> 00:36:49,760 Speaker 1: And so what I did is I tagged like people 591 00:36:49,760 --> 00:36:53,560 Speaker 1: were tagging the Sovos executives and I emailed them and 592 00:36:53,600 --> 00:36:56,480 Speaker 1: in my email was like, Hi, I'm a writer for Netflix. 593 00:36:56,600 --> 00:36:58,520 Speaker 1: I do this and that, Like I think adding the 594 00:36:58,560 --> 00:37:02,360 Speaker 1: extra pressure of like this isn't going away, and it 595 00:37:02,520 --> 00:37:05,279 Speaker 1: sucks that because I have a platform, I was able 596 00:37:05,320 --> 00:37:08,320 Speaker 1: to get him fired and he was within an hour. 597 00:37:08,840 --> 00:37:11,359 Speaker 1: They sent me a thing and was like, you know, 598 00:37:11,400 --> 00:37:14,719 Speaker 1: this isn't and I cc my manager. I definitely brought 599 00:37:14,800 --> 00:37:18,640 Speaker 1: in like don't funk with me energy and and they 600 00:37:18,640 --> 00:37:21,839 Speaker 1: were like, you know that he doesn't comply with our 601 00:37:21,960 --> 00:37:25,240 Speaker 1: standards and we feel that this warrants a public statement. 602 00:37:25,800 --> 00:37:29,600 Speaker 1: And it was because I was used my platform and 603 00:37:29,640 --> 00:37:32,520 Speaker 1: there are so many people who don't have my platform 604 00:37:32,560 --> 00:37:35,960 Speaker 1: who can't do that. But it was from the anxiety. 605 00:37:36,000 --> 00:37:38,520 Speaker 1: It wasn't necessarily because they wanted to. It was like 606 00:37:38,560 --> 00:37:43,000 Speaker 1: this bitch is unleashing everybody on us, right. It's it's 607 00:37:43,040 --> 00:37:46,680 Speaker 1: it's so frustrating to feel pretty certain that It's like 608 00:37:46,719 --> 00:37:49,880 Speaker 1: if you don't have a huge following and a company 609 00:37:50,000 --> 00:37:53,640 Speaker 1: or whatever entity it is, doesn't have a real and 610 00:37:53,719 --> 00:37:58,439 Speaker 1: present concern that people will find out nothing happened like there, 611 00:37:58,760 --> 00:38:00,400 Speaker 1: I don't know I had it. I had an issue 612 00:38:00,440 --> 00:38:03,239 Speaker 1: recently that was like ended up being handled internally, but 613 00:38:03,280 --> 00:38:06,120 Speaker 1: it was completely connected to the fact that they were 614 00:38:06,160 --> 00:38:08,279 Speaker 1: afraid that if they didn't do something, that I would 615 00:38:08,280 --> 00:38:10,200 Speaker 1: say something and everyone will be mad at them. And 616 00:38:10,200 --> 00:38:13,400 Speaker 1: it's like, well, thank you for basically telling me that 617 00:38:13,520 --> 00:38:16,120 Speaker 1: you don't give you don't actually give a ship about 618 00:38:16,200 --> 00:38:19,120 Speaker 1: what's happening. You're just you know, it's a pr issue. 619 00:38:19,719 --> 00:38:22,000 Speaker 1: And I do want to say that's happened to me too, 620 00:38:22,080 --> 00:38:23,839 Speaker 1: that Jamie and I have talked about where I've come 621 00:38:23,880 --> 00:38:27,840 Speaker 1: forward privately to some studios and they don't do anything. 622 00:38:27,920 --> 00:38:30,399 Speaker 1: So when you see me go public, like a couple 623 00:38:30,440 --> 00:38:32,479 Speaker 1: of years ago during Me Too, I was public about 624 00:38:32,520 --> 00:38:35,680 Speaker 1: several things, I want people to know that's because privately 625 00:38:35,800 --> 00:38:38,160 Speaker 1: they didn't do anything. And so a lot of times 626 00:38:38,200 --> 00:38:40,440 Speaker 1: people will be like, why are you dragging him in public? 627 00:38:40,480 --> 00:38:42,440 Speaker 1: Blah blah BLAHM Like that's because that's the only way 628 00:38:42,480 --> 00:38:45,759 Speaker 1: that they will react. They're then years of failure that 629 00:38:45,760 --> 00:38:47,880 Speaker 1: that like to handle it privately. And I want to 630 00:38:47,880 --> 00:38:50,520 Speaker 1: say none of these women, like if we are talking 631 00:38:50,520 --> 00:38:53,120 Speaker 1: to you know, not to totally push this into me too, 632 00:38:53,120 --> 00:38:55,360 Speaker 1: but like none of these women actually want to come forward. 633 00:38:55,520 --> 00:38:58,359 Speaker 1: It sucks. I never want to have I don't want 634 00:38:58,360 --> 00:39:01,040 Speaker 1: to spend one my day doing is tracking down this 635 00:39:01,120 --> 00:39:04,080 Speaker 1: guy or whatever or like having I want to work, 636 00:39:04,480 --> 00:39:06,160 Speaker 1: you know, I'm a writer. I want to just do 637 00:39:06,239 --> 00:39:07,920 Speaker 1: my work and make my art. I don't want to 638 00:39:07,920 --> 00:39:09,759 Speaker 1: have to go to hr of my studio and say 639 00:39:09,800 --> 00:39:12,880 Speaker 1: that this man did this thing. And so none of 640 00:39:12,960 --> 00:39:15,919 Speaker 1: us actually want to be public. You know, when people 641 00:39:15,960 --> 00:39:17,799 Speaker 1: interview me, I want I want them to ask me 642 00:39:17,800 --> 00:39:20,040 Speaker 1: about my stuff, not about this ship. But like a 643 00:39:20,040 --> 00:39:21,960 Speaker 1: lot of us have to be public because that's the 644 00:39:22,000 --> 00:39:24,719 Speaker 1: only way they're scared. And like Jamie saying, like they 645 00:39:24,719 --> 00:39:26,120 Speaker 1: don't actually want to do the right thing, they're just 646 00:39:26,120 --> 00:39:29,440 Speaker 1: scared they're going to get canceled. So yeah, anyways, that 647 00:39:29,520 --> 00:39:33,320 Speaker 1: was my tangent. That was my rant um one detail 648 00:39:33,600 --> 00:39:37,720 Speaker 1: about just going back to this story because I do, like, granted, 649 00:39:37,760 --> 00:39:41,120 Speaker 1: I don't think this guy should be platformed, but I 650 00:39:41,160 --> 00:39:43,640 Speaker 1: hadn't heard the detail of like why the people were 651 00:39:43,680 --> 00:39:46,840 Speaker 1: going to the mayor's house to protest. Apparently the mayor 652 00:39:46,960 --> 00:39:51,800 Speaker 1: had like docked a bunch of protesters and so that's 653 00:39:51,880 --> 00:39:54,279 Speaker 1: why they were going. And also the police had like 654 00:39:54,360 --> 00:39:57,200 Speaker 1: blocked off a bunch of the other ways that they 655 00:39:57,200 --> 00:40:00,200 Speaker 1: could have gone, so they were like forced to walk 656 00:40:00,239 --> 00:40:04,160 Speaker 1: through this neighborhood they're walking to, like on the street, 657 00:40:04,280 --> 00:40:07,400 Speaker 1: and these people come out waving their guns and claiming 658 00:40:07,440 --> 00:40:10,799 Speaker 1: that they are being attacked and it's just something I 659 00:40:10,800 --> 00:40:13,240 Speaker 1: don't know. We're seeing more and more on social media 660 00:40:13,360 --> 00:40:17,560 Speaker 1: that entitled people experienced discomfort for the first time in 661 00:40:17,600 --> 00:40:21,680 Speaker 1: their lives. All right, and then real briefly, we've just 662 00:40:21,719 --> 00:40:26,840 Speaker 1: been talking about Trump uh and you know, Russia putting 663 00:40:27,160 --> 00:40:30,080 Speaker 1: hits on US troops, the fact that there's been intelligence 664 00:40:30,200 --> 00:40:34,120 Speaker 1: that suggests US for a while. Uh, and he either 665 00:40:34,320 --> 00:40:37,919 Speaker 1: was not told or was told ignored it. He has 666 00:40:38,160 --> 00:40:41,840 Speaker 1: chosen to claim that the whole story is a hoax. 667 00:40:42,480 --> 00:40:46,000 Speaker 1: We'll probably have to just wait for the details to 668 00:40:46,120 --> 00:40:51,239 Speaker 1: roll in. Uh, but from the reporting, it seems pretty 669 00:40:51,360 --> 00:40:55,839 Speaker 1: evident that he either knew and ignored or the intelligence 670 00:40:55,880 --> 00:41:00,640 Speaker 1: community were slow rolling the information so they could actually 671 00:41:00,640 --> 00:41:04,480 Speaker 1: get something done before he became aware of it and 672 00:41:05,040 --> 00:41:10,160 Speaker 1: stopped them from doing anything. Because that's generally how he 673 00:41:10,200 --> 00:41:15,120 Speaker 1: can be counted on to behave with regards to Russia. UM. 674 00:41:15,160 --> 00:41:19,600 Speaker 1: But so in contrast to that being his official policy 675 00:41:19,719 --> 00:41:26,920 Speaker 1: that the American intelligence is a hoax. Uh, there's this 676 00:41:26,960 --> 00:41:30,799 Speaker 1: other story that is recently making the rounds uh that 677 00:41:30,920 --> 00:41:40,000 Speaker 1: he thinks wrestling is real. Um. And uh so in 678 00:41:40,120 --> 00:41:43,759 Speaker 1: response to this story on others, UH, you know that 679 00:41:43,840 --> 00:41:49,080 Speaker 1: suggests that the President is um, you know, completely oblivious 680 00:41:49,120 --> 00:41:53,520 Speaker 1: to everything that's happening around him. Kaylie mac k mac, 681 00:41:53,600 --> 00:41:57,520 Speaker 1: we'll call her the press. The Press secretary was like, 682 00:41:58,480 --> 00:42:01,680 Speaker 1: the President is the most well and warmed uh person 683 00:42:02,120 --> 00:42:04,480 Speaker 1: on the planet earth. Like I literally think that that 684 00:42:04,560 --> 00:42:07,000 Speaker 1: was a direct quote, that's what she said. Uh. And 685 00:42:07,080 --> 00:42:12,480 Speaker 1: so Jensen carp tweeted a story he worked at Monday 686 00:42:12,560 --> 00:42:16,800 Speaker 1: Night Raw for w W as a writer. Uh and 687 00:42:17,520 --> 00:42:22,040 Speaker 1: uh yeah uh and when there there was a storyline 688 00:42:22,080 --> 00:42:27,480 Speaker 1: in the two thousands that Vince McMahon got into a 689 00:42:27,520 --> 00:42:31,400 Speaker 1: limousine and you saw it blow up. Uh And apparently 690 00:42:31,640 --> 00:42:36,520 Speaker 1: Press Donald Trump immediately called his office to make sure 691 00:42:36,560 --> 00:42:41,400 Speaker 1: he was alive because he and and so that's a 692 00:42:41,440 --> 00:42:44,360 Speaker 1: true story that dead Spin had actually reported back in 693 00:42:44,360 --> 00:42:48,880 Speaker 1: two thousands sixteen. So we have uh independent verification that 694 00:42:49,000 --> 00:42:54,480 Speaker 1: the President, when somebody died in a w W E storyline, 695 00:42:54,560 --> 00:42:58,640 Speaker 1: thought that they were really dead. No, and that was 696 00:42:58,680 --> 00:43:01,080 Speaker 1: back when like when you look at him speak during 697 00:43:01,120 --> 00:43:06,719 Speaker 1: that time, he's actually like, uh noticeably way more coherent 698 00:43:06,920 --> 00:43:10,759 Speaker 1: than he is currently. It's so embarrassed. Yeah, it's just 699 00:43:10,800 --> 00:43:13,160 Speaker 1: like thinking you're soap operas are real, like get a 700 00:43:13,920 --> 00:43:18,600 Speaker 1: get a life. Yeah, my god. Yeah, um, I feel 701 00:43:18,600 --> 00:43:21,640 Speaker 1: like wrestling is real for a lot of people though, 702 00:43:21,840 --> 00:43:25,400 Speaker 1: so I know, I mean, I love, I love wrestling, 703 00:43:26,160 --> 00:43:32,000 Speaker 1: and I'm invested. But Danny is pro Trump Danny first 704 00:43:32,040 --> 00:43:36,879 Speaker 1: of all, wild way to But it's like once you're 705 00:43:36,960 --> 00:43:41,840 Speaker 1: not a child Anny, like you know, like once I started, 706 00:43:41,920 --> 00:43:44,520 Speaker 1: it's I feel like the journey with wrestling is the 707 00:43:44,560 --> 00:43:47,400 Speaker 1: same one you have with the Disney Channel, where you're like, oh, 708 00:43:47,520 --> 00:43:51,040 Speaker 1: Hannah Montana is not a real person. It's a character 709 00:43:51,160 --> 00:43:53,279 Speaker 1: played by a person like you. You figure that out 710 00:43:53,320 --> 00:43:58,200 Speaker 1: when you're you're, you know, thirteen, Maybe I don't know, Yeah, 711 00:43:58,400 --> 00:44:01,800 Speaker 1: I don't know. I remember going back to my friends 712 00:44:01,920 --> 00:44:04,760 Speaker 1: like when I was I guess I was like seven 713 00:44:05,000 --> 00:44:07,840 Speaker 1: or eight, and I went over to my friend's house. 714 00:44:09,800 --> 00:44:12,480 Speaker 1: I was went to my friend's house who we had 715 00:44:12,520 --> 00:44:15,839 Speaker 1: watched like wrestling when we were younger, and she was 716 00:44:15,920 --> 00:44:19,280 Speaker 1: like still like thought wrestling was real, and I remember 717 00:44:19,440 --> 00:44:23,319 Speaker 1: like not wanting to spoil it for him and like 718 00:44:23,440 --> 00:44:25,480 Speaker 1: just kind of going with it, but like feeling and 719 00:44:25,560 --> 00:44:27,879 Speaker 1: this is a brag and a huge flex on my part, 720 00:44:28,000 --> 00:44:29,879 Speaker 1: but when I was seven, I knew wrestling was fake. 721 00:44:30,280 --> 00:44:35,840 Speaker 1: That's so no big deal. But I want to say, 722 00:44:36,120 --> 00:44:39,960 Speaker 1: until I was like eighteen, I thought it was library 723 00:44:40,120 --> 00:44:43,520 Speaker 1: and then furthermore, I thought Santa Claus had an e 724 00:44:43,719 --> 00:44:45,960 Speaker 1: at the end of it because of Tim Allen's movie 725 00:44:46,080 --> 00:44:51,440 Speaker 1: The Santa Claus. Also until I was like seventeen or eighteen, 726 00:44:51,600 --> 00:44:54,640 Speaker 1: and somebody on like Facebook corrected me, which is the 727 00:44:54,719 --> 00:44:57,760 Speaker 1: worst way to figure out that you're wrong about something. Yeah, 728 00:44:57,920 --> 00:45:02,120 Speaker 1: so I called it u on lower for the first 729 00:45:02,200 --> 00:45:05,720 Speaker 1: twenty years of my life, the first how many twenty 730 00:45:05,760 --> 00:45:07,799 Speaker 1: I like into college, I was calling it a mon 731 00:45:07,960 --> 00:45:10,399 Speaker 1: lower because I think it was like, at some point 732 00:45:10,560 --> 00:45:12,839 Speaker 1: learned it was wrong, but my family thought it was cute. 733 00:45:12,840 --> 00:45:17,399 Speaker 1: I'm like, let's just keep this rolling, and oh man, 734 00:45:18,080 --> 00:45:22,480 Speaker 1: little kids pronunciation of things the best, especially when they're 735 00:45:22,560 --> 00:45:29,440 Speaker 1: nineteen years old, especially when they're filing their taxes. All right, 736 00:45:29,560 --> 00:45:31,879 Speaker 1: let's take another quick break and we'll be right back. 737 00:45:41,960 --> 00:45:45,439 Speaker 1: And we're back, And as we do on this show, 738 00:45:45,480 --> 00:45:47,600 Speaker 1: we wanted to check in with a meme that was 739 00:45:47,640 --> 00:45:53,600 Speaker 1: circulating uh days ago, so days after it's relevant uh energy, 740 00:45:54,480 --> 00:45:58,279 Speaker 1: second rate Energy of our Second Rate podcast. But I 741 00:45:58,320 --> 00:46:01,279 Speaker 1: did just kind of start thinking about it last night. 742 00:46:01,360 --> 00:46:08,200 Speaker 1: And also, you know, the preponderance of evidence from these 743 00:46:08,239 --> 00:46:12,839 Speaker 1: memes I I now have some different snacks that I'm 744 00:46:12,880 --> 00:46:17,799 Speaker 1: interested in trying. Uh So, I wanted to, you know, 745 00:46:18,120 --> 00:46:22,880 Speaker 1: perform the service for for the audience. It is a 746 00:46:23,000 --> 00:46:26,399 Speaker 1: service and you're welcome. Uh So, I wanted to talk 747 00:46:26,440 --> 00:46:30,480 Speaker 1: about the gas station meal meme. What is your gas 748 00:46:30,480 --> 00:46:34,560 Speaker 1: station meal? What is the food that you will put 749 00:46:34,560 --> 00:46:37,799 Speaker 1: together if and only if you're in a gas station? Like, 750 00:46:37,840 --> 00:46:41,040 Speaker 1: what are some things that you only buy there? Um? 751 00:46:41,200 --> 00:46:45,120 Speaker 1: I can start off, please please start the start the conversation. 752 00:46:45,239 --> 00:46:48,319 Speaker 1: So gas station is really the only place these days 753 00:46:48,360 --> 00:46:52,960 Speaker 1: that I ever drank full sugar Mountain dew um, mountain 754 00:46:52,960 --> 00:46:55,480 Speaker 1: do zero these days are a diet mountain dew. In 755 00:46:55,600 --> 00:46:59,320 Speaker 1: my personal life, often I will indulge in a code 756 00:46:59,480 --> 00:47:03,160 Speaker 1: of some color when I am at a gas station. 757 00:47:03,440 --> 00:47:05,840 Speaker 1: Could you give an example of a code color? Red 758 00:47:06,200 --> 00:47:09,759 Speaker 1: is one of them? Yeah, plastic, I think there was 759 00:47:09,800 --> 00:47:14,080 Speaker 1: a blue at some point. I think those of ritals 760 00:47:14,160 --> 00:47:17,239 Speaker 1: might have more caffeine and sugar in them. I know 761 00:47:17,280 --> 00:47:21,799 Speaker 1: that Baja blast does. Uh Anyways, So mountain dew is 762 00:47:21,880 --> 00:47:24,440 Speaker 1: a strictly gas station indulgence at this point, and I 763 00:47:24,440 --> 00:47:27,680 Speaker 1: will I will sometimes get those like big old the 764 00:47:27,719 --> 00:47:32,240 Speaker 1: big old ones, the tall boys, the wide mouth tall boys. 765 00:47:32,600 --> 00:47:35,960 Speaker 1: And then so I realized I only get peanuts in 766 00:47:36,040 --> 00:47:40,480 Speaker 1: those like tall thin bags. Uh in chas stations when 767 00:47:40,520 --> 00:47:43,080 Speaker 1: I'm looking for a healthy, healthy snack, do you get 768 00:47:43,120 --> 00:47:46,600 Speaker 1: the spicy ones? I like the spicy too. I like 769 00:47:46,680 --> 00:47:50,319 Speaker 1: the hunting roasted, so not feeling too healthy, but just 770 00:47:50,400 --> 00:47:53,520 Speaker 1: more healthy than flame and hot Cheetos, which is what 771 00:47:53,600 --> 00:47:55,799 Speaker 1: I get when I'm I'm not feeling healthy and I 772 00:47:55,800 --> 00:47:59,080 Speaker 1: only get those gas stations. And then finally a big 773 00:47:59,120 --> 00:48:03,560 Speaker 1: cup recy with the Reese pieces inside. Um, those are 774 00:48:04,040 --> 00:48:07,200 Speaker 1: my gas station picks. And then any icy or slushy 775 00:48:07,280 --> 00:48:12,279 Speaker 1: or slurpee riotal love them. Good use of the word 776 00:48:12,280 --> 00:48:18,800 Speaker 1: for riottle. When this meme was coming around, this for me, okay, 777 00:48:18,840 --> 00:48:22,600 Speaker 1: this for me is like, uh, you know, and someone 778 00:48:23,239 --> 00:48:27,560 Speaker 1: like it's like when your friend gets into your thing 779 00:48:27,719 --> 00:48:29,279 Speaker 1: and then all of a sudden they're talking about your 780 00:48:29,320 --> 00:48:31,440 Speaker 1: thing and you're like, wait, hold on, this was my 781 00:48:31,680 --> 00:48:34,080 Speaker 1: thing there. That's how I felt about the gas station 782 00:48:34,160 --> 00:48:38,680 Speaker 1: meme because I've like, I eat almost exclusively at the 783 00:48:38,719 --> 00:48:41,880 Speaker 1: gas station. I know every I know where it is, 784 00:48:41,920 --> 00:48:45,640 Speaker 1: I know I have my friends there, and so for 785 00:48:45,680 --> 00:48:49,280 Speaker 1: people to just like pop up and be like, hey, 786 00:48:49,440 --> 00:48:53,000 Speaker 1: I've eaten a chip before. For me, I'm like, okay, like, 787 00:48:53,520 --> 00:48:57,759 Speaker 1: congratulations on your chip. But we've been out here, like 788 00:48:57,800 --> 00:49:00,920 Speaker 1: we've been at the gas station for years and years. 789 00:49:01,880 --> 00:49:06,319 Speaker 1: So that being said, there's so much more. I feel 790 00:49:06,320 --> 00:49:09,160 Speaker 1: like people are really like going to their like I 791 00:49:09,239 --> 00:49:11,640 Speaker 1: have a chip of a chip in a sip or 792 00:49:11,800 --> 00:49:14,880 Speaker 1: and sometimes if I'm feeling, you know, out of control, 793 00:49:15,160 --> 00:49:18,319 Speaker 1: I'll have a hot dog. Okay. There are so many 794 00:49:18,360 --> 00:49:21,200 Speaker 1: good options at the gas station. I'm at seven eleven 795 00:49:21,719 --> 00:49:24,520 Speaker 1: person currently, but have been other you know, I used 796 00:49:24,520 --> 00:49:26,440 Speaker 1: to be a Cumberland farms back in the day. Like 797 00:49:26,480 --> 00:49:28,719 Speaker 1: there's there's places you can go am to PM, a 798 00:49:28,719 --> 00:49:31,800 Speaker 1: lot of options. What you can get that is good 799 00:49:31,840 --> 00:49:37,360 Speaker 1: at seven eleven is their salads. Salads are expensive, especially 800 00:49:37,360 --> 00:49:40,480 Speaker 1: in Los Angeles, salads are very expensive, and so you 801 00:49:40,719 --> 00:49:42,400 Speaker 1: you find yourself saying, I wish I could get a 802 00:49:42,400 --> 00:49:44,600 Speaker 1: salad for five dollars. Where would a salad for five 803 00:49:44,640 --> 00:49:48,680 Speaker 1: dollars be seven eleven? The ingredients are pretty much fresh. 804 00:49:48,840 --> 00:49:52,560 Speaker 1: There is more other things than let us in it, 805 00:49:52,600 --> 00:49:55,320 Speaker 1: but it's good and it's never made me sick. That's important. 806 00:49:55,600 --> 00:49:59,120 Speaker 1: Gas station sushi. Never gotten sick, but never enjoyed it. 807 00:49:59,239 --> 00:50:03,760 Speaker 1: Necessarily there's there's so many options you can eat vegan 808 00:50:03,920 --> 00:50:07,080 Speaker 1: at a seven eleven. I don't think we're legally allowed 809 00:50:07,160 --> 00:50:10,720 Speaker 1: to recommend seven eleven sushi, Like I think our legal 810 00:50:10,760 --> 00:50:13,920 Speaker 1: department would have to have an objection to that, because 811 00:50:13,960 --> 00:50:16,319 Speaker 1: we might I'm going to get I get called out 812 00:50:16,360 --> 00:50:19,360 Speaker 1: every time, but it's not like it. I mean, I 813 00:50:19,360 --> 00:50:21,680 Speaker 1: don't eat it anymore. I've moved onto the salads. But 814 00:50:22,280 --> 00:50:24,560 Speaker 1: that you know that you can get a healthy option 815 00:50:24,640 --> 00:50:27,439 Speaker 1: and a diet Dr Pepper and then get out of there. Well, 816 00:50:27,520 --> 00:50:31,239 Speaker 1: you can have the sushi that doesn't have sushi, which 817 00:50:31,280 --> 00:50:34,280 Speaker 1: is what I do. Sometimes it'll be like the rice 818 00:50:34,360 --> 00:50:38,239 Speaker 1: and then it'll have avocado and cucumber. So you're not 819 00:50:38,239 --> 00:50:42,560 Speaker 1: getting with all the different types of fish. No, you're 820 00:50:42,600 --> 00:50:49,239 Speaker 1: just carbloating like crazy. But so die. Dr Pepper and 821 00:50:49,760 --> 00:50:55,080 Speaker 1: salad and sushi are are your picks. DDP salad. UH 822 00:50:55,440 --> 00:50:57,840 Speaker 1: if you're if you're like, if you're needing a little 823 00:50:57,880 --> 00:51:04,000 Speaker 1: extra something, UH would throw in some maybe a chip, 824 00:51:04,080 --> 00:51:07,440 Speaker 1: maybe a chip or maybe one of their um whatchamac 825 00:51:07,520 --> 00:51:17,520 Speaker 1: call it. They're weird, like people get a little nervous 826 00:51:17,560 --> 00:51:19,560 Speaker 1: around the rollers. But I say give it a shot 827 00:51:19,600 --> 00:51:22,239 Speaker 1: and see, you know, and then take a COVID test 828 00:51:22,280 --> 00:51:27,320 Speaker 1: a couple of days there. They should be sold together 829 00:51:27,520 --> 00:51:32,760 Speaker 1: as like an extra value meal. Yeah yeah, um, all right, Danny, 830 00:51:32,880 --> 00:51:35,960 Speaker 1: what is your gas station meal? Well, I'm gonna one 831 00:51:36,120 --> 00:51:38,879 Speaker 1: up you, Jack, because I get the healthy Mountain Dew, 832 00:51:39,480 --> 00:51:42,520 Speaker 1: which is kick Start. It's the one that has vitamins 833 00:51:42,520 --> 00:51:46,040 Speaker 1: in it. I wouldn't I would have picked that if 834 00:51:46,080 --> 00:51:50,319 Speaker 1: I didn't buy them by bulk at Ralph's. So I 835 00:51:50,360 --> 00:51:54,280 Speaker 1: can't say that's an exclusively gas station thing. I. Um, 836 00:51:54,320 --> 00:51:57,840 Speaker 1: there's some fancy gas stations in West Hollywood that only 837 00:51:58,160 --> 00:51:59,640 Speaker 1: I would be down there if I had to take 838 00:51:59,640 --> 00:52:02,759 Speaker 1: a meeting, um and was forced to go down there. 839 00:52:03,200 --> 00:52:07,440 Speaker 1: But um, the baked peas, which are healthy, do you 840 00:52:07,440 --> 00:52:09,360 Speaker 1: know what I'm talking about? The ones that you're supposed 841 00:52:09,360 --> 00:52:11,480 Speaker 1: to put on your salad, but I never do that. 842 00:52:11,560 --> 00:52:14,520 Speaker 1: I just eat the entire bag and your fingers get 843 00:52:14,520 --> 00:52:17,279 Speaker 1: all like Jimmy, don't know what I'm talking about? I think, 844 00:52:17,320 --> 00:52:23,000 Speaker 1: so yeah they have yes, yeah that, and like the 845 00:52:23,120 --> 00:52:27,040 Speaker 1: sea salt ones. Um. I also only at gas stations 846 00:52:27,040 --> 00:52:30,759 Speaker 1: get Fiji water because I want to feel rich. That is, 847 00:52:31,800 --> 00:52:35,640 Speaker 1: that's like going to the haircuttery and Beverly Hills. You're like, 848 00:52:36,040 --> 00:52:40,000 Speaker 1: it's like, like it is technically a really fancy thing 849 00:52:40,040 --> 00:52:43,040 Speaker 1: to do. Yeah, and I'm pretty sure it's just the 850 00:52:43,080 --> 00:52:44,960 Speaker 1: same as all the other water in there, but for 851 00:52:45,000 --> 00:52:48,160 Speaker 1: some reason, and at gas stations, I specifically get Fiji 852 00:52:48,200 --> 00:52:51,560 Speaker 1: water and I leave feeling good about myself, Like, I 853 00:52:51,600 --> 00:52:53,600 Speaker 1: don't know, just treat yourself once in a while to 854 00:52:53,680 --> 00:52:56,520 Speaker 1: a rich person thing, you know, and how much are they? 855 00:52:56,560 --> 00:52:58,680 Speaker 1: They're like the tiny little bottles are like, I think 856 00:52:58,719 --> 00:53:01,399 Speaker 1: six dollars. There's somethings six dollars and you can feel 857 00:53:01,520 --> 00:53:05,399 Speaker 1: rich as hell? Are there really six dollars? Are there there? 858 00:53:05,400 --> 00:53:08,160 Speaker 1: Like five to six dollars? Right? The the big ones 859 00:53:08,200 --> 00:53:10,799 Speaker 1: get pretty expensive. I'll occasionally flex and get like one 860 00:53:10,800 --> 00:53:14,560 Speaker 1: of those tiny little chameleon coffee cans. If I'm feeling 861 00:53:14,600 --> 00:53:19,920 Speaker 1: like a millionaire, I'll just like strut in. Yeah, I 862 00:53:19,920 --> 00:53:22,480 Speaker 1: don't know. There is something very strange about any time 863 00:53:22,560 --> 00:53:25,520 Speaker 1: I am at the seven eleven and like everything is 864 00:53:25,560 --> 00:53:27,920 Speaker 1: wrong up and it costs over ten dollars. You're like, 865 00:53:28,080 --> 00:53:32,640 Speaker 1: something's wrong, something's going wrong. It didn't happen though it's 866 00:53:32,640 --> 00:53:35,520 Speaker 1: happened to me. To cashier look at each other like 867 00:53:35,560 --> 00:53:40,120 Speaker 1: with disbelief. Wait, what it happens a few times a 868 00:53:40,200 --> 00:53:43,000 Speaker 1: day that people are not buying a carton of cigarette, 869 00:53:43,440 --> 00:53:47,000 Speaker 1: right unless you're getting like white claw or like cigarettes. 870 00:53:47,200 --> 00:53:50,879 Speaker 1: That's that's how you crack the two. Honestly, nuts are 871 00:53:51,040 --> 00:53:56,320 Speaker 1: very expensive, like the caramel roasted almonds or something. I 872 00:53:56,360 --> 00:53:59,680 Speaker 1: mean mine is just like yeah, um, and I would 873 00:53:59,719 --> 00:54:02,880 Speaker 1: say dried mango, but I'm pretty sure it's like dipped 874 00:54:02,920 --> 00:54:05,920 Speaker 1: in sulfuric acid, like you know, to keep it good, 875 00:54:06,440 --> 00:54:09,880 Speaker 1: Like never look at the back of those dried fruit things. 876 00:54:10,200 --> 00:54:17,080 Speaker 1: But I'll sometimes dip into like a rock star, a 877 00:54:17,160 --> 00:54:24,160 Speaker 1: diet rock star, the like textured white can droop waffles. 878 00:54:24,200 --> 00:54:29,879 Speaker 1: They sell like packs of two straff. Also rock star 879 00:54:31,200 --> 00:54:34,520 Speaker 1: rock Star has a healthy I think healthy in quotes 880 00:54:34,760 --> 00:54:38,040 Speaker 1: the healthy. But if you want to treat yourself, get 881 00:54:38,080 --> 00:54:41,279 Speaker 1: yourself some red vines, bite off the top, put it 882 00:54:41,320 --> 00:54:45,520 Speaker 1: into your rock star and that's your funky silly straw. 883 00:54:46,239 --> 00:54:49,520 Speaker 1: So and it's saving the environment. So I used to 884 00:54:49,600 --> 00:54:51,880 Speaker 1: love to do that when I was like trying to 885 00:54:51,960 --> 00:54:54,920 Speaker 1: look flor with you know what, like having a candy 886 00:54:55,040 --> 00:54:59,160 Speaker 1: straw and then be like hi, like that does that 887 00:54:59,200 --> 00:55:02,720 Speaker 1: resonate anybody? It's gonna make your road trip to see 888 00:55:02,760 --> 00:55:10,279 Speaker 1: your stepdad that you hate, like that much better. All right, 889 00:55:10,400 --> 00:55:14,440 Speaker 1: let's pick our Netflix rewatch, Jamie, You're you're gonna be 890 00:55:14,480 --> 00:55:18,600 Speaker 1: with us on Monday again? Correct? Yes, all right? So, 891 00:55:19,400 --> 00:55:24,800 Speaker 1: uh we have an interesting Netflix top ten floors. Lava 892 00:55:25,400 --> 00:55:32,680 Speaker 1: still number one with a bullet uh? Uh your a 893 00:55:32,760 --> 00:55:37,920 Speaker 1: Vision number two? Uh? The new Will Ferrell film uh 894 00:55:37,960 --> 00:55:42,359 Speaker 1: that apparently has some uh some slaps, some really good 895 00:55:42,440 --> 00:55:47,320 Speaker 1: music in it. Um. George Lopez has a new comedy special, 896 00:55:47,640 --> 00:55:50,279 Speaker 1: The Order, which I still don't know what that is, 897 00:55:50,320 --> 00:55:56,840 Speaker 1: even though it's been on on this list. The Order, No, sorry, 898 00:55:56,840 --> 00:55:59,200 Speaker 1: The Order is a separate show that has somebody in 899 00:55:59,320 --> 00:56:02,759 Speaker 1: a in a ram skull on the cover of it, 900 00:56:03,520 --> 00:56:06,479 Speaker 1: or at least in my in my phmbnail. But then again, 901 00:56:06,560 --> 00:56:09,200 Speaker 1: Netflix has always known that I'm a big fan of 902 00:56:10,120 --> 00:56:14,800 Speaker 1: people wearing ram skulls. Uh. Three sixty five days still 903 00:56:15,480 --> 00:56:19,880 Speaker 1: hanging in the top ten, crazy delicious When somebody reached 904 00:56:19,880 --> 00:56:22,239 Speaker 1: out and said they would like us to do a 905 00:56:23,000 --> 00:56:27,680 Speaker 1: detailed analysis, I don't know. Crazy. Is that like a 906 00:56:27,719 --> 00:56:32,560 Speaker 1: cooking show where they just put really wild stuff in there? Yeah? 907 00:56:32,680 --> 00:56:36,279 Speaker 1: I think a way. Who hosts that show? I I 908 00:56:36,360 --> 00:56:41,520 Speaker 1: have fallen asleep to this show before, not to the 909 00:56:41,560 --> 00:56:46,520 Speaker 1: best glowing review. You would like to get better sleep watch. 910 00:56:46,600 --> 00:56:51,480 Speaker 1: Oh wait, no, I'm thinking of a different with Nicole Byer. No. 911 00:56:51,640 --> 00:56:53,239 Speaker 1: I would never fall as like to that show. I 912 00:56:53,280 --> 00:56:57,040 Speaker 1: love that shows amazing I stay awake. Uh No, I 913 00:56:57,160 --> 00:57:01,439 Speaker 1: was thinking of the Action Bronson cooking show righte fucking 914 00:57:01,520 --> 00:57:05,640 Speaker 1: delicious or something like that. Um, something delicious, feel the 915 00:57:05,640 --> 00:57:08,359 Speaker 1: beat Still don't know what that is. The nut Job 916 00:57:08,440 --> 00:57:11,040 Speaker 1: is somehow still in the top ten. Um, We've got 917 00:57:11,040 --> 00:57:14,879 Speaker 1: two ablest pun based shows, Crazy Delicious in the nut Job. 918 00:57:16,720 --> 00:57:22,600 Speaker 1: Dark is a German like Lost type show that I 919 00:57:22,680 --> 00:57:25,880 Speaker 1: have actually watched episodes of, So that's probably what I'm 920 00:57:25,880 --> 00:57:29,120 Speaker 1: gonna go with. And then at number ten, gas Bar 921 00:57:29,240 --> 00:57:32,200 Speaker 1: Knows Love, which is the we've talked before. It's been 922 00:57:32,200 --> 00:57:34,680 Speaker 1: in here for a while. It's the poor No from 923 00:57:34,680 --> 00:57:37,280 Speaker 1: the guy who made Enter the Void. Uh Oh has 924 00:57:37,320 --> 00:57:40,800 Speaker 1: anyone done that one yet? Uh No, we have not. 925 00:57:42,520 --> 00:57:50,000 Speaker 1: I guess I'll try it. It's it's pretty graphic. But yeah, um, 926 00:57:50,040 --> 00:57:52,840 Speaker 1: all right, so you'll do Love, I'll do Dark. We're 927 00:57:52,880 --> 00:57:57,880 Speaker 1: doing bringing up nine and ten. Uh I've heard Eurovision 928 00:57:58,000 --> 00:58:01,600 Speaker 1: is good and I feel like talking about a good 929 00:58:01,720 --> 00:58:05,080 Speaker 1: comedy is not going to be that interesting to be like, yeah, man, 930 00:58:05,120 --> 00:58:11,880 Speaker 1: it was, it was funny, just suspected, no notes, no notes. 931 00:58:12,520 --> 00:58:16,040 Speaker 1: Uh but yeah, I'll probably watch that too at some 932 00:58:16,120 --> 00:58:22,520 Speaker 1: point and check in with it. Cool so dark and love, Yes, 933 00:58:22,720 --> 00:58:26,360 Speaker 1: please join me on this dark journey and apparently going 934 00:58:26,400 --> 00:58:30,680 Speaker 1: to take dark love. Uh well, Danny, it has been 935 00:58:30,720 --> 00:58:33,840 Speaker 1: a pleasure having you on the daily Zeitgeist. Where can 936 00:58:33,880 --> 00:58:38,400 Speaker 1: people find you? Follow you here? You enjoy you? Oh? Well, 937 00:58:38,440 --> 00:58:41,080 Speaker 1: you know, I have my own podcast on this network 938 00:58:41,120 --> 00:58:45,920 Speaker 1: called Nerdificent, where we tackle nerdy things with our friends 939 00:58:46,120 --> 00:58:48,480 Speaker 1: and try and dissect and do deep dives and also 940 00:58:48,520 --> 00:58:53,200 Speaker 1: remove gatekeeping that happened still in the nerd community. Um. 941 00:58:53,240 --> 00:58:55,640 Speaker 1: I'm also at Miss Danny Fernandez M S D A 942 00:58:55,960 --> 00:58:58,760 Speaker 1: and I. I can't even remember how to spell my name, 943 00:58:58,920 --> 00:59:02,440 Speaker 1: it's probably tagged on here at M S D A 944 00:59:02,600 --> 00:59:04,560 Speaker 1: and I F E R N A N D easy. 945 00:59:04,720 --> 00:59:06,920 Speaker 1: Um what else? Oh yeah, I'm on sci Fi's The 946 00:59:06,920 --> 00:59:10,240 Speaker 1: Great Debate this season. So my episode I think drops 947 00:59:10,280 --> 00:59:13,560 Speaker 1: this upcoming week, so you can check me debating with oh, 948 00:59:13,680 --> 00:59:17,360 Speaker 1: debating with Freaking yas or Lester and the Man Behind 949 00:59:17,920 --> 00:59:20,200 Speaker 1: So so so this is really funny, one of the 950 00:59:20,240 --> 00:59:22,360 Speaker 1: episodes we shot for The Great Debate had a live 951 00:59:22,400 --> 00:59:25,400 Speaker 1: studio audience. The other one, the final one that we 952 00:59:25,520 --> 00:59:29,600 Speaker 1: shot UM, was the day Shelter in Place was announced, 953 00:59:30,080 --> 00:59:33,520 Speaker 1: and so we had no studio audience, So it was 954 00:59:33,600 --> 00:59:36,640 Speaker 1: me and Yassir and Reggie wattson Open, Mike Eagle and 955 00:59:36,640 --> 00:59:40,680 Speaker 1: Baron Von just dicking around UM where it was just 956 00:59:40,840 --> 00:59:45,000 Speaker 1: off the rails. So I'm very fascinated to see if 957 00:59:45,000 --> 00:59:47,800 Speaker 1: this show, if that final episode is just like ten 958 00:59:47,840 --> 00:59:51,800 Speaker 1: minutes long, because we were just comedians trying to make 959 00:59:51,800 --> 00:59:56,000 Speaker 1: each other laugh and as we do, being dumb masses. 960 00:59:56,360 --> 01:00:02,080 Speaker 1: So that's great. And is there a tweet or some 961 01:00:02,160 --> 01:00:05,240 Speaker 1: of the work of social media you've been enjoying? Yes, 962 01:00:05,320 --> 01:00:08,840 Speaker 1: Oh my gosh, so somebody just tweeted Victoria Geeta I 963 01:00:08,880 --> 01:00:13,000 Speaker 1: think said, I'm beginning to think hindsight is with some 964 01:00:13,080 --> 01:00:15,640 Speaker 1: kind of message from a future time traveler that we 965 01:00:15,720 --> 01:00:27,040 Speaker 1: all misunderstood, And my mind is make you think, Jamie, 966 01:00:27,400 --> 01:00:29,120 Speaker 1: where can people find you? And what's a tweet you've 967 01:00:29,120 --> 01:00:32,600 Speaker 1: been enjoying? You can find me on Twitter at Jamie 968 01:00:32,640 --> 01:00:37,320 Speaker 1: Loftus help Instagram at Jamie christ Superstar. You can listen 969 01:00:37,360 --> 01:00:41,040 Speaker 1: to backdel cast, you're cann listen to my year in mensa. Uh, 970 01:00:41,360 --> 01:00:43,680 Speaker 1: new episodes of Robot Chicken are coming out right now, 971 01:00:43,760 --> 01:00:47,640 Speaker 1: so there's some stuff to be seen over there. And 972 01:00:47,720 --> 01:00:50,520 Speaker 1: a tweet I will find it's more of an informative tweet, 973 01:00:50,600 --> 01:00:55,680 Speaker 1: but but it gave me a brief moment of not 974 01:00:55,720 --> 01:00:59,480 Speaker 1: feeling like total dogshit. Um. So it's from at Annabelle 975 01:00:59,480 --> 01:01:02,800 Speaker 1: Greer and it says finding out that Kelly Ann Conway's 976 01:01:02,920 --> 01:01:05,360 Speaker 1: daughter is on TikTok and is super anti Trump and 977 01:01:05,400 --> 01:01:08,439 Speaker 1: has dozens of pro blm TikTok's and TikTok's telling Trump 978 01:01:08,520 --> 01:01:11,040 Speaker 1: supporters to go funk themselves is the bright spot of 979 01:01:11,720 --> 01:01:14,680 Speaker 1: I didn't know I was going to get but deaf needed. 980 01:01:14,840 --> 01:01:18,600 Speaker 1: And then on that on that thread is a bunch 981 01:01:18,640 --> 01:01:25,520 Speaker 1: of screenshots from Kelly and Conway's daughter's TikTok and um, yeah, 982 01:01:25,760 --> 01:01:28,600 Speaker 1: so you know the dinners at that house are are 983 01:01:28,680 --> 01:01:32,360 Speaker 1: wild and I hope that so I don't know. Yeah, 984 01:01:32,440 --> 01:01:38,520 Speaker 1: we talked about this on yesterday's trending. It's God damn it. 985 01:01:41,040 --> 01:01:44,240 Speaker 1: Don't you listen to every single episode of this show. 986 01:01:45,320 --> 01:01:48,959 Speaker 1: I listened to episodes a day. I can't get enough um. 987 01:01:49,080 --> 01:01:51,919 Speaker 1: I've also I don't know everything I have liked. It's 988 01:01:51,960 --> 01:01:54,640 Speaker 1: either very serious news items or it has to do 989 01:01:54,800 --> 01:01:59,400 Speaker 1: with YouTube drama that's going on right now going on 990 01:01:59,600 --> 01:02:06,240 Speaker 1: with we'll talk about it alright. A tweet I've been 991 01:02:06,400 --> 01:02:14,360 Speaker 1: enjoying speaking of kids saying the darnedest things slash mispronunciations. 992 01:02:14,440 --> 01:02:25,880 Speaker 1: What did you best pronounced Jerry? Where that mon lower adorable? Anyways? 993 01:02:25,960 --> 01:02:30,360 Speaker 1: At spin ub Zilla tweeted, babysitting is so easy. Kids 994 01:02:30,400 --> 01:02:32,520 Speaker 1: say ship and you can just repeat it back to them. 995 01:02:32,560 --> 01:02:35,800 Speaker 1: They say, like, the pine cones are monsters inside the 996 01:02:35,800 --> 01:02:38,200 Speaker 1: fish pants, and you go, what the pine cones are 997 01:02:38,240 --> 01:02:41,520 Speaker 1: monsters inside the fish pants? And they go, yeah, last yesterday, 998 01:02:41,520 --> 01:02:44,919 Speaker 1: and you go oh and boom, baby has been set. 999 01:02:48,200 --> 01:02:51,560 Speaker 1: That's good childcare advice. You can find me on Twitter, 1000 01:02:51,640 --> 01:02:54,040 Speaker 1: Jack Underscore O'Brien, you can find us on Twitter at 1001 01:02:54,080 --> 01:02:57,680 Speaker 1: Daily Zeitgeist. Were at the Daily Zeitgeist on Instagram. We 1002 01:02:57,760 --> 01:03:00,560 Speaker 1: have a Facebook campage on a website Daily Heasy guys 1003 01:03:00,640 --> 01:03:03,800 Speaker 1: dot Com where we post our episodes and our footnotes 1004 01:03:04,200 --> 01:03:07,280 Speaker 1: were linked off to the information that we talked about 1005 01:03:07,320 --> 01:03:11,360 Speaker 1: today's episode as well as the song we ride out 1006 01:03:11,480 --> 01:03:16,440 Speaker 1: on and today I'm gonna I'm gonna get a wreck. 1007 01:03:17,440 --> 01:03:22,120 Speaker 1: We're gonna ride out on Wild Light by Peter Matthew 1008 01:03:22,160 --> 01:03:25,160 Speaker 1: Bauer from The Walkman. Uh. This is off of his 1009 01:03:25,240 --> 01:03:28,560 Speaker 1: album from a few years back, and it's just a 1010 01:03:28,680 --> 01:03:34,800 Speaker 1: cool song, self produced. Uh. His family sings on it 1011 01:03:34,880 --> 01:03:37,960 Speaker 1: with them. It's just got a really good vibes. As 1012 01:03:38,080 --> 01:03:42,760 Speaker 1: Miles would say, Uh, it's pretty song. Uh, so we're 1013 01:03:42,760 --> 01:03:45,880 Speaker 1: going to ride out on that. The Daily Ze Guys 1014 01:03:45,920 --> 01:03:48,120 Speaker 1: is a production of my Heart Radio. For more podcasts 1015 01:03:48,120 --> 01:03:50,480 Speaker 1: for my heart Radio is the heart Radio app, Apple 1016 01:03:50,560 --> 01:03:53,880 Speaker 1: podcast or wherever you're listing your favorite shows, that is 1017 01:03:53,920 --> 01:03:56,680 Speaker 1: going to do it for today. We will be back 1018 01:03:56,800 --> 01:03:59,040 Speaker 1: this afternoon to tell you what's trending and we'll talk 1019 01:03:59,080 --> 01:04:06,760 Speaker 1: to you then by loser you Needlet's Cool, Oh I 1020 01:04:06,960 --> 01:04:14,200 Speaker 1: Live member, I Feel in my Bones people, makes no difference. 1021 01:04:15,240 --> 01:04:21,640 Speaker 1: That keeps the speed. It's kind who the Lasa Okay 1022 01:04:21,800 --> 01:04:25,040 Speaker 1: b Book and I've been the go