1 00:00:00,080 --> 00:00:03,200 Speaker 1: Hello the Internet, and welcome to season one, thirty three, 2 00:00:03,200 --> 00:00:07,840 Speaker 1: Episode three of dar Days Geist to production of I 3 00:00:08,160 --> 00:00:12,920 Speaker 1: Heart Radio by just screaming right there, I just filled 4 00:00:12,960 --> 00:00:16,600 Speaker 1: my room with viral load. Is something that I learned 5 00:00:16,680 --> 00:00:25,520 Speaker 1: in my research. Yeah, well we'll talk. This is a 6 00:00:25,640 --> 00:00:29,400 Speaker 1: podcast where we take a deep dive into America's shared 7 00:00:29,400 --> 00:00:33,520 Speaker 1: consciousness and say, officially, off the top, fuck the Koch 8 00:00:33,640 --> 00:00:39,159 Speaker 1: Brothers and funk box us. It's Wednesday May. My name 9 00:00:39,240 --> 00:00:46,919 Speaker 1: is Jack O'Brien ak. In my house, I'm quarantined wasting times. 10 00:00:47,040 --> 00:00:51,960 Speaker 1: Took my pants off. Keep your distance now, you back 11 00:00:52,080 --> 00:00:56,080 Speaker 1: up six ft. Just a man and his will to 12 00:00:56,360 --> 00:01:03,760 Speaker 1: survive so many deaths. It happened so fast. Trump should 13 00:01:03,800 --> 00:01:08,880 Speaker 1: have listened to Foulchy. Don't lose your grip on the 14 00:01:09,120 --> 00:01:13,120 Speaker 1: dreams of the past. You must fight just to keep 15 00:01:13,520 --> 00:01:20,160 Speaker 1: them alive. We think healthcare workers there on the front line, 16 00:01:20,680 --> 00:01:26,040 Speaker 1: rising up to the challenge of this virus. If we 17 00:01:26,200 --> 00:01:30,000 Speaker 1: all keep our distance them, we'll all be all right. 18 00:01:30,440 --> 00:01:38,240 Speaker 1: And we all want to say thank you jee healthcare workers. 19 00:01:38,280 --> 00:01:42,880 Speaker 1: All right. That was courtesy of Doug E. Fresh and 20 00:01:44,680 --> 00:01:47,440 Speaker 1: I think I'm gonna take that again, actually gotten, I'm 21 00:01:47,440 --> 00:01:53,360 Speaker 1: just just gonna do a Type forty five up top 22 00:01:53,440 --> 00:01:56,800 Speaker 1: of me singing I'm thrilled to be joined as always 23 00:01:56,840 --> 00:02:22,880 Speaker 1: by my co host Mr Miles. The slide Whistle apart 24 00:02:23,000 --> 00:02:28,480 Speaker 1: from d Lighten the Heart one of my favorite albums. 25 00:02:28,880 --> 00:02:31,880 Speaker 1: I remember I had to beg my dad to buy 26 00:02:32,000 --> 00:02:34,320 Speaker 1: this tape because I liked the song on the radio 27 00:02:34,400 --> 00:02:37,080 Speaker 1: so much. Uh, and he obliged me and I was 28 00:02:37,120 --> 00:02:40,360 Speaker 1: like one of the first albums I remember asking an 29 00:02:40,400 --> 00:02:42,760 Speaker 1: adult to get like to be like, we need this album. 30 00:02:42,800 --> 00:02:44,320 Speaker 1: Can you please have this in the house? Please? Thank you? 31 00:02:44,880 --> 00:02:48,360 Speaker 1: And I remember you saying that you realized early on 32 00:02:48,480 --> 00:02:50,799 Speaker 1: that the groove was in the heart, that that's where 33 00:02:50,800 --> 00:02:53,600 Speaker 1: it was located. Yeah, it was a pretty important moment 34 00:02:53,639 --> 00:02:56,079 Speaker 1: when that came out. You were like whoa. And if 35 00:02:56,120 --> 00:02:58,560 Speaker 1: I could add now more than ever, I think they 36 00:02:58,800 --> 00:03:05,280 Speaker 1: grow with in heart Jamie, like I'm I'm about and 37 00:03:05,320 --> 00:03:07,880 Speaker 1: I challenge that gang go to the YouTube channels of 38 00:03:07,880 --> 00:03:10,720 Speaker 1: all these companies that have quarantine commercials because they're typically 39 00:03:10,760 --> 00:03:13,720 Speaker 1: uploading them, because I feel like now more than ever 40 00:03:13,800 --> 00:03:16,400 Speaker 1: and in these times, is actually one. And we did 41 00:03:16,400 --> 00:03:19,960 Speaker 1: a story on this, but like almost comedically an absolute 42 00:03:19,960 --> 00:03:23,320 Speaker 1: requirement to these commercials. It's kind of shocking, because it's 43 00:03:23,320 --> 00:03:25,440 Speaker 1: like you have to imagine that some of these marketing 44 00:03:25,600 --> 00:03:28,720 Speaker 1: employees have seen how much people are making fun of it, 45 00:03:29,160 --> 00:03:32,960 Speaker 1: but no one has found an alternative to the words 46 00:03:33,240 --> 00:03:37,600 Speaker 1: to amid either amid is still every headlining involves amid 47 00:03:38,120 --> 00:03:42,280 Speaker 1: amidst Anyway, I digress, Miles. I don't know about you, 48 00:03:42,360 --> 00:03:46,560 Speaker 1: but I'm thrilled to be joined by our co host 49 00:03:46,880 --> 00:03:50,680 Speaker 1: Jamie loft Us. In the quarter there is a bank 50 00:03:50,800 --> 00:03:54,480 Speaker 1: or with a motor car and little children laugh on 51 00:03:54,600 --> 00:03:59,000 Speaker 1: zoom behind his back, and the banker never wears a 52 00:03:59,040 --> 00:04:06,240 Speaker 1: mask in the quarantine. Very strange. Covid Ninette is in 53 00:04:06,520 --> 00:04:12,320 Speaker 1: my eyears and in my ey do do do their 54 00:04:12,440 --> 00:04:17,080 Speaker 1: TV on mute? Turn on the sight. I drink some 55 00:04:17,400 --> 00:04:24,520 Speaker 1: bleach while high that was sent to me on Instagram 56 00:04:24,600 --> 00:04:28,280 Speaker 1: by Jackson and it I love it. Thank you Jacky. 57 00:04:29,640 --> 00:04:32,960 Speaker 1: That was very good. Uh well, we are thrilled to 58 00:04:33,040 --> 00:04:36,760 Speaker 1: be joined in our fourth seat by returning guests. One 59 00:04:36,760 --> 00:04:43,080 Speaker 1: of our fabes. She is Catherine in Spires. Hi. Hi, 60 00:04:43,560 --> 00:04:45,880 Speaker 1: thank you Hi. If I had known this had turned 61 00:04:45,880 --> 00:04:48,320 Speaker 1: into a karaoke show, though I would not have come on. 62 00:04:49,200 --> 00:04:51,480 Speaker 1: I know you said this last time, but yeah, you 63 00:04:51,640 --> 00:04:54,560 Speaker 1: keep coming back, So I don't know in a way. Look, 64 00:04:54,600 --> 00:04:58,160 Speaker 1: I'm prepared now, Katherine, what's your song? Go? I am unprepared. 65 00:04:58,320 --> 00:05:01,599 Speaker 1: I do not sing. I'm a lifetime of unpreparedness for 66 00:05:01,640 --> 00:05:04,240 Speaker 1: singing in front of other people. Are you also? Have you? 67 00:05:04,560 --> 00:05:07,279 Speaker 1: Do you do karaoke? We talked about this yesterday's episode 68 00:05:07,279 --> 00:05:10,840 Speaker 1: because Jack has not Jack has not sang ever at karaoke. 69 00:05:10,960 --> 00:05:13,760 Speaker 1: We found never saying karaoke. I do not do karaoke. 70 00:05:13,920 --> 00:05:17,920 Speaker 1: I have deep issues around singing in public. Also, interestingly, 71 00:05:18,000 --> 00:05:20,520 Speaker 1: like pre pandemic. About a year ago, a friend told 72 00:05:20,520 --> 00:05:22,680 Speaker 1: me that he went to a karaoke birthday party. He 73 00:05:22,760 --> 00:05:25,039 Speaker 1: was the only person who did not sing. He was 74 00:05:25,120 --> 00:05:27,320 Speaker 1: the only person who did not get the stomach flow 75 00:05:28,120 --> 00:05:36,120 Speaker 1: whoa mike had the flu. Yeah, that is amateur. You 76 00:05:36,279 --> 00:05:43,000 Speaker 1: always bring your own Always bring your own mike. There 77 00:05:43,040 --> 00:05:46,760 Speaker 1: should be a kabash on karaoke shaming the person who 78 00:05:46,760 --> 00:05:49,360 Speaker 1: doesn't want to do karaoke, especially if you don't know 79 00:05:49,480 --> 00:05:52,120 Speaker 1: many people that you're with. I like you not done 80 00:05:52,200 --> 00:05:54,560 Speaker 1: karaoke when it's like not a group of people I 81 00:05:54,600 --> 00:05:56,920 Speaker 1: know very well, and people give you such shit about it. 82 00:05:57,160 --> 00:05:59,279 Speaker 1: You know, it's funny. I've been I've gone to like 83 00:05:59,320 --> 00:06:01,479 Speaker 1: when I was first dating her Majesty, Like, she's like, oh, 84 00:06:01,520 --> 00:06:03,600 Speaker 1: so and so I was having a karaoke party k Town. 85 00:06:03,640 --> 00:06:05,440 Speaker 1: I'm like, okay, fine, I like karaoke, but when you're 86 00:06:05,520 --> 00:06:07,559 Speaker 1: when the vibe is off my you know, I'm brand 87 00:06:07,560 --> 00:06:10,480 Speaker 1: new to this group. I don't know anything, and someone sing, 88 00:06:10,600 --> 00:06:13,000 Speaker 1: I'm like, give me this microphone and I didn't montell 89 00:06:13,279 --> 00:06:18,400 Speaker 1: and then everybody was like, whoa, but he's he's a keeper, 90 00:06:18,560 --> 00:06:20,919 Speaker 1: right wow, and he must be an only child based 91 00:06:20,920 --> 00:06:24,360 Speaker 1: on these historyonics. Um. I think the other thing, though, too, 92 00:06:24,480 --> 00:06:27,000 Speaker 1: is like, yeah, don't shame, but it's like that's not honestly. 93 00:06:27,040 --> 00:06:29,320 Speaker 1: The people who like the karaoke anyway, they're fine with 94 00:06:29,320 --> 00:06:31,880 Speaker 1: people not seeing because then there's I'm sure you've been 95 00:06:31,880 --> 00:06:34,360 Speaker 1: around people who use it use a karaoke party to 96 00:06:34,400 --> 00:06:37,000 Speaker 1: be like I used to sing in the chorus in 97 00:06:37,080 --> 00:06:41,160 Speaker 1: high school and you're like okay, Like I feel I 98 00:06:41,200 --> 00:06:44,560 Speaker 1: got a high school soprano. If you do Disney songs, 99 00:06:44,600 --> 00:06:46,800 Speaker 1: you fucked the party up. I'm sorry. That's my rule. 100 00:06:46,800 --> 00:06:48,960 Speaker 1: One karaoe, you sucked the party up with Disney track. 101 00:06:51,680 --> 00:06:53,920 Speaker 1: I have a friend who was really good at one song. 102 00:06:54,040 --> 00:06:56,400 Speaker 1: Mac the knife. I think I've told the story before, 103 00:06:56,760 --> 00:06:59,520 Speaker 1: and he would go and like perform it towards the 104 00:06:59,560 --> 00:07:03,200 Speaker 1: beginning of like a karaoke party, and everyone would be 105 00:07:03,240 --> 00:07:05,680 Speaker 1: like really into it, and then like a couple of 106 00:07:05,760 --> 00:07:08,640 Speaker 1: songs later, he would get up again and perform the 107 00:07:08,680 --> 00:07:12,600 Speaker 1: same song again, and then like people would get really 108 00:07:12,640 --> 00:07:18,080 Speaker 1: weirded out. But uh, it's really good that that's a 109 00:07:18,160 --> 00:07:22,720 Speaker 1: great subtle way to convince people they're losing their minds, 110 00:07:21,480 --> 00:07:27,200 Speaker 1: Like I didn't just sing that. If he builds on 111 00:07:27,240 --> 00:07:29,640 Speaker 1: each performance as if he's like, not all right now 112 00:07:29,680 --> 00:07:31,720 Speaker 1: they did the second time at a little bit to 113 00:07:31,840 --> 00:07:34,040 Speaker 1: this one because that first one was whack. And then 114 00:07:34,080 --> 00:07:35,960 Speaker 1: so they're seeing like every time he does it and 115 00:07:36,040 --> 00:07:39,760 Speaker 1: the performance gets more in depth, it's almost great, but 116 00:07:39,800 --> 00:07:43,040 Speaker 1: it's more unnerving if he does it almost like he's 117 00:07:43,080 --> 00:07:47,000 Speaker 1: an animatronic and like every little vocal flourish and like 118 00:07:47,200 --> 00:07:51,480 Speaker 1: performance to flourish is exactly the same. They're like, what 119 00:07:51,600 --> 00:07:56,720 Speaker 1: the fun like that is happening. Uh. Anyways, Katherine, you 120 00:07:56,800 --> 00:08:01,600 Speaker 1: and me can continue to avoid singing Ayoki together. We're 121 00:08:01,640 --> 00:08:04,160 Speaker 1: gonna get to know you a little bit better in 122 00:08:04,160 --> 00:08:06,520 Speaker 1: a moment. First, we're gonna tell our listeners. A couple 123 00:08:06,560 --> 00:08:10,320 Speaker 1: of the things we're talking about. We're gonna look at 124 00:08:10,480 --> 00:08:14,480 Speaker 1: viral load, what that means, how people are actually getting sick, 125 00:08:15,200 --> 00:08:19,840 Speaker 1: mostly indoors and from breathing each other's air. We're gonna 126 00:08:19,880 --> 00:08:24,760 Speaker 1: talk about how people are feeling um about their governors, 127 00:08:24,800 --> 00:08:29,160 Speaker 1: like how the governors are doing overall, which across the board, 128 00:08:29,160 --> 00:08:33,000 Speaker 1: it's been pretty strong, but not all responses have been 129 00:08:33,120 --> 00:08:36,480 Speaker 1: rated the same. So we'll talk about that because I 130 00:08:36,520 --> 00:08:38,440 Speaker 1: feel like there's been a little bit of a media 131 00:08:38,520 --> 00:08:42,840 Speaker 1: bubble where we think that most Americans are like ready 132 00:08:42,880 --> 00:08:46,400 Speaker 1: to get back to work because we're seeing all those 133 00:08:46,400 --> 00:08:49,520 Speaker 1: protests and stuff, and like that's a very small, small 134 00:08:49,559 --> 00:08:53,120 Speaker 1: minority of people. We're gonna talk about the some polling 135 00:08:53,200 --> 00:08:57,920 Speaker 1: that suggests that haters, people who hate both Biden and 136 00:08:58,080 --> 00:09:03,359 Speaker 1: Trump prefer by din which is kind of a weird statistic, 137 00:09:03,400 --> 00:09:07,360 Speaker 1: but it's kind of what one Trump the election. We're 138 00:09:07,400 --> 00:09:10,200 Speaker 1: gonna talk about the fact that there are a lot 139 00:09:10,240 --> 00:09:15,040 Speaker 1: of pandemics and American history where they just kind of 140 00:09:15,320 --> 00:09:19,240 Speaker 1: where we just erased the pandemic from our memory. So 141 00:09:19,280 --> 00:09:23,839 Speaker 1: we'll talk about that. We'll talk about yeah exactly, talk 142 00:09:23,840 --> 00:09:25,719 Speaker 1: about Guy fire area. We'll talk about what going to 143 00:09:25,840 --> 00:09:29,000 Speaker 1: movie theaters in Texas is like since those are open, 144 00:09:29,480 --> 00:09:32,520 Speaker 1: all of that plenty more. But first, Katherine, what is 145 00:09:32,559 --> 00:09:37,400 Speaker 1: something from your search history that's revealing about who you are? UM? 146 00:09:37,600 --> 00:09:41,080 Speaker 1: I sometimes get super into scams. Um. Not doing them, 147 00:09:41,120 --> 00:09:43,480 Speaker 1: not yet, I'm not there yet one day, UM, but 148 00:09:43,600 --> 00:09:47,280 Speaker 1: researching them. And I was thinking that there's this, like 149 00:09:47,600 --> 00:09:51,960 Speaker 1: specifically Australian thing of pretending to have cancer and getting 150 00:09:51,960 --> 00:09:54,839 Speaker 1: money out of it. And there's this one influencer named 151 00:09:54,880 --> 00:09:57,199 Speaker 1: Belle Gibson, and I looked her up because a few 152 00:09:57,280 --> 00:10:00,840 Speaker 1: years ago she got caught out. She had been saying 153 00:10:01,360 --> 00:10:03,360 Speaker 1: that she had all kinds of cancer, but she was 154 00:10:03,440 --> 00:10:04,600 Speaker 1: I think she was one of the ones who was 155 00:10:04,600 --> 00:10:07,400 Speaker 1: saying she was going to manage it with vegetables, and 156 00:10:07,520 --> 00:10:09,840 Speaker 1: people gave her hundreds of thousands of dollars and she 157 00:10:09,880 --> 00:10:12,520 Speaker 1: said she was going to give three thousand dollars Australian 158 00:10:12,520 --> 00:10:15,560 Speaker 1: dollars of it to charity and she never did. And 159 00:10:15,600 --> 00:10:17,680 Speaker 1: the more I looked into it, like I said, I 160 00:10:17,679 --> 00:10:20,400 Speaker 1: don't know what it is about Australians and pretending to 161 00:10:20,400 --> 00:10:22,600 Speaker 1: have cancer. It's seems to be more of a thing 162 00:10:22,640 --> 00:10:25,840 Speaker 1: there than in other English speaking countries. I'm stuck on 163 00:10:26,120 --> 00:10:32,520 Speaker 1: Bell Gibson's great name. It might not be her real name. 164 00:10:32,559 --> 00:10:34,920 Speaker 1: She's lying about her age. She's actually saying that she's 165 00:10:35,000 --> 00:10:37,640 Speaker 1: older than I'm not going to it sounds like a 166 00:10:37,800 --> 00:10:41,120 Speaker 1: very low hanging fruit idea for mel Gibson to change 167 00:10:41,120 --> 00:10:51,679 Speaker 1: his identity. I think this is Bell Gibson years old. 168 00:10:52,120 --> 00:10:54,679 Speaker 1: That's wild. That is not what I would have expected 169 00:10:54,720 --> 00:10:57,440 Speaker 1: from that scam. When you said you noticed this sort 170 00:10:57,480 --> 00:11:00,839 Speaker 1: of cancer scam more in Australia, like did you notice 171 00:11:00,880 --> 00:11:03,760 Speaker 1: that other like the US had one that seemed more common, 172 00:11:03,840 --> 00:11:05,760 Speaker 1: Like what were you kind of seeing out there? When 173 00:11:05,760 --> 00:11:08,120 Speaker 1: you're like, I think this seems they really like this one. 174 00:11:08,440 --> 00:11:11,000 Speaker 1: I felt like one difference with the pretending you have 175 00:11:11,080 --> 00:11:14,240 Speaker 1: cancer thing is that it targets other regular people, whereas 176 00:11:14,240 --> 00:11:16,400 Speaker 1: I feel in America there's a greater sense of like, 177 00:11:16,559 --> 00:11:18,360 Speaker 1: I gotta go after some rich people and get their 178 00:11:18,400 --> 00:11:23,920 Speaker 1: money first. Makes sense because we're so capitalists, our scammers 179 00:11:23,920 --> 00:11:26,320 Speaker 1: would be too right, right right, They're like I, No, No No, 180 00:11:26,520 --> 00:11:28,520 Speaker 1: regular people don't have enough money. I need to like 181 00:11:28,600 --> 00:11:31,320 Speaker 1: bleed the fattest pig in the land, which is like 182 00:11:31,360 --> 00:11:35,480 Speaker 1: some company or something exactly. Oh, well, you know, I 183 00:11:35,840 --> 00:11:38,040 Speaker 1: shout out to Bell. That's just like the name Bell 184 00:11:38,120 --> 00:11:42,280 Speaker 1: giveson it sounds like Mel Gibson's alter ego. Yeah, it's 185 00:11:42,280 --> 00:11:45,760 Speaker 1: pretty cool that she like that she had multiple like 186 00:11:45,840 --> 00:11:48,760 Speaker 1: all the cancers. She was like, uh got so much, 187 00:11:48,840 --> 00:11:53,640 Speaker 1: so much cancer now I can't for vegetables. I got 188 00:11:53,679 --> 00:11:56,480 Speaker 1: like eight or nine cancers right now. So that's literally 189 00:11:56,520 --> 00:11:58,680 Speaker 1: what she said. She said that it wasn't like she 190 00:11:58,720 --> 00:12:01,719 Speaker 1: had liver cancer. You turned cancer, brain cancer, like it 191 00:12:01,800 --> 00:12:05,120 Speaker 1: just kept growing so fucked up. Because, yeah, it really 192 00:12:05,160 --> 00:12:08,599 Speaker 1: praise on this base fear we all have, like the 193 00:12:08,920 --> 00:12:10,839 Speaker 1: not many people in this earth can say they have 194 00:12:10,960 --> 00:12:13,080 Speaker 1: never had some kind of experience with cancer someone in 195 00:12:13,080 --> 00:12:15,640 Speaker 1: their life having it. So yeah, like it acts on 196 00:12:15,679 --> 00:12:20,400 Speaker 1: this really like just hearing the word like ovarian cancer 197 00:12:20,480 --> 00:12:23,120 Speaker 1: or anything cancer, Like, oh god, God, is this personal? 198 00:12:23,200 --> 00:12:25,360 Speaker 1: K Like, oh, I know how bad that can be, 199 00:12:25,679 --> 00:12:29,240 Speaker 1: And it's really I think it's so dark. I think 200 00:12:29,600 --> 00:12:32,760 Speaker 1: that's the thing is that standing rich people because they're 201 00:12:32,840 --> 00:12:36,080 Speaker 1: dumb is hilarious. But making regular people feel bad for 202 00:12:36,120 --> 00:12:38,599 Speaker 1: you for having cancer, I don't think that's funny. What 203 00:12:38,720 --> 00:12:43,200 Speaker 1: came over. She's um in trouble illegally, but I don't 204 00:12:43,240 --> 00:12:45,280 Speaker 1: think she's been put in jail, She's just getting sued 205 00:12:45,440 --> 00:12:48,360 Speaker 1: left and right. The fact that she's twenty eight and 206 00:12:48,440 --> 00:12:53,600 Speaker 1: already this deep into a scamming career suggests to me 207 00:12:53,720 --> 00:12:57,400 Speaker 1: that in this in this version of reality, we have 208 00:12:57,520 --> 00:13:07,600 Speaker 1: not heard the last of Bell Gibson um m, yeah, 209 00:13:09,080 --> 00:13:12,280 Speaker 1: being dragged in like with old shackles. Though for some reason, 210 00:13:12,360 --> 00:13:17,079 Speaker 1: like it's pride and prejudice or this is Scooby Doo villain. 211 00:13:18,360 --> 00:13:21,959 Speaker 1: We had an elaborate one of these happened at Cracked 212 00:13:21,960 --> 00:13:24,880 Speaker 1: in our forums where like one of the moderators and 213 00:13:25,040 --> 00:13:28,760 Speaker 1: like long time forum member like went through this long 214 00:13:29,520 --> 00:13:35,240 Speaker 1: prolonged health crisis thing where everybody was like worried about him. 215 00:13:35,240 --> 00:13:38,840 Speaker 1: He was going into surgery. It was like very I 216 00:13:38,880 --> 00:13:43,200 Speaker 1: don't know, and we were like interacting with his daughter 217 00:13:43,440 --> 00:13:46,079 Speaker 1: while he was in a coma, and then it turned 218 00:13:46,120 --> 00:13:48,640 Speaker 1: out it was all him and like none of it 219 00:13:48,720 --> 00:13:54,719 Speaker 1: was true and it was very eerie and strange disconcerting 220 00:13:54,840 --> 00:13:58,440 Speaker 1: for sure. Was that your main feeling about it, like disconcerted? 221 00:13:58,480 --> 00:13:59,960 Speaker 1: Did you feel bad for him at all? Or was 222 00:14:00,000 --> 00:14:05,080 Speaker 1: it to annoy totally felt horrible for him? Yeah, I 223 00:14:05,080 --> 00:14:07,640 Speaker 1: mean because he spent like were they not angling for money. 224 00:14:07,640 --> 00:14:10,880 Speaker 1: It was purely just sympathy and attention. They weren't angling 225 00:14:10,920 --> 00:14:14,600 Speaker 1: for money. And then like we started putting together uh 226 00:14:14,960 --> 00:14:20,240 Speaker 1: like fund to help and they were like ship. I 227 00:14:20,280 --> 00:14:24,760 Speaker 1: think because they that that made it too real for them. Um, well, 228 00:14:24,920 --> 00:14:27,280 Speaker 1: I can appreciate them drawing the line when the jig 229 00:14:28,400 --> 00:14:34,000 Speaker 1: I think, sorry, emotionally, life out of you the cash No, 230 00:14:34,200 --> 00:14:37,400 Speaker 1: that's I've already had my fill. God, I'm making me 231 00:14:37,440 --> 00:14:41,920 Speaker 1: want to rewatch J. T Leroy? What's J. T Leroy? 232 00:14:42,440 --> 00:14:49,000 Speaker 1: That's a long story, Jack, Well, another time I will be. 233 00:14:49,040 --> 00:14:53,240 Speaker 1: People can google that if they so wish. Catherine, what 234 00:14:53,400 --> 00:14:57,560 Speaker 1: is something you think is underrated? Um? The show Lady Dynamite, 235 00:14:57,600 --> 00:15:00,480 Speaker 1: which was Maria Bamford show that lasted for two mini 236 00:15:00,560 --> 00:15:04,000 Speaker 1: seasons on Netflix. It's still on Netflix and I came 237 00:15:04,040 --> 00:15:06,200 Speaker 1: across it again. I watched it the when it first 238 00:15:06,240 --> 00:15:08,960 Speaker 1: came out. It is so funny and it's one of 239 00:15:09,040 --> 00:15:11,600 Speaker 1: those really frustrating things where it's like, why did this 240 00:15:11,720 --> 00:15:14,479 Speaker 1: get canceled? Netflix has all the money in the world apparently, 241 00:15:14,520 --> 00:15:17,480 Speaker 1: and this got canceled and it's actually good, but everyone 242 00:15:17,680 --> 00:15:21,160 Speaker 1: watching it's hilarious. Maria Bamford ended up canceling that show 243 00:15:21,200 --> 00:15:24,720 Speaker 1: herself is the good news Netflix did not cancel it. 244 00:15:24,840 --> 00:15:28,760 Speaker 1: Maria Bamford was like, uh tie, I think like just 245 00:15:29,080 --> 00:15:32,240 Speaker 1: didn't want to do that intensive production schedule anymore. So 246 00:15:32,280 --> 00:15:36,560 Speaker 1: she like it was a mutual split. Oh well that 247 00:15:36,680 --> 00:15:40,440 Speaker 1: changes everything. Now I'm less angry, which is nice. She 248 00:15:40,640 --> 00:15:43,200 Speaker 1: ended her show is self Care, yeah, which is the 249 00:15:43,240 --> 00:15:45,280 Speaker 1: whole show is like, that's a through line in it 250 00:15:45,360 --> 00:15:48,560 Speaker 1: about how she went. She kind of lost it when 251 00:15:48,560 --> 00:15:50,560 Speaker 1: she got too busy, So that's nice that you know 252 00:15:51,440 --> 00:15:54,240 Speaker 1: she kept that in real life. Yeah. I like when 253 00:15:54,280 --> 00:15:59,320 Speaker 1: creative people, uh just decide to end something as opposed 254 00:15:59,360 --> 00:16:02,320 Speaker 1: to having it ended for them by the powers that be, 255 00:16:02,520 --> 00:16:06,360 Speaker 1: that's so nice. And so having the project put out 256 00:16:06,400 --> 00:16:10,000 Speaker 1: of its misery for all th same vibe with Fleabag 257 00:16:10,160 --> 00:16:12,760 Speaker 1: kind of where it's just like two really good seasons. 258 00:16:12,800 --> 00:16:14,400 Speaker 1: And then she was like, all right, I think we said, 259 00:16:14,440 --> 00:16:16,240 Speaker 1: well we had to say talk to you later, and 260 00:16:16,280 --> 00:16:19,560 Speaker 1: it's like yeah, but yeah, I think it's you see 261 00:16:19,560 --> 00:16:22,800 Speaker 1: that more with like in Europe than you do in America, 262 00:16:22,960 --> 00:16:27,360 Speaker 1: where people just like because I'm sure, yeah, if there's 263 00:16:27,400 --> 00:16:29,600 Speaker 1: like an army of agents and managers, like, dude, you're 264 00:16:29,680 --> 00:16:34,200 Speaker 1: leaving cash on the table right now, you're just kid. Yeah, 265 00:16:34,480 --> 00:16:39,280 Speaker 1: Dave Chappelle did it, and people like legitimately the media 266 00:16:39,400 --> 00:16:44,080 Speaker 1: was covering it as if he had had episode. Yeah, 267 00:16:43,520 --> 00:16:47,000 Speaker 1: well that's the only explanation for why he would leave 268 00:16:47,040 --> 00:16:51,880 Speaker 1: so much money on the table. Yeah wait, you mean 269 00:16:51,920 --> 00:16:54,320 Speaker 1: you just make stuff and like that makes you happy? 270 00:16:54,360 --> 00:16:58,600 Speaker 1: You're not. You didn't just do this to get the money. Oh, 271 00:16:59,000 --> 00:17:03,920 Speaker 1: let down, slid fucking hippie gross Jamie. I hope this 272 00:17:03,960 --> 00:17:06,720 Speaker 1: doesn't bump me out, But actually Marvel is working with 273 00:17:06,800 --> 00:17:12,960 Speaker 1: Fleabag to launch the extended Fleabag Universe. Priest is actually 274 00:17:13,000 --> 00:17:20,680 Speaker 1: getting his own movie. The fact that, yeah, foxes follow 275 00:17:20,760 --> 00:17:24,320 Speaker 1: him around and he uses that as his superpower. I 276 00:17:24,320 --> 00:17:28,800 Speaker 1: would actually watch for them, And I think Thanos is 277 00:17:28,840 --> 00:17:30,960 Speaker 1: the old man having sex with her in that first 278 00:17:31,040 --> 00:17:37,960 Speaker 1: epid episode. He's like, you're so young. God, I forgot 279 00:17:37,960 --> 00:17:41,320 Speaker 1: about that until right now. That's great. It's great to 280 00:17:41,359 --> 00:17:44,320 Speaker 1: watch that show with like older like maybe a parent 281 00:17:44,480 --> 00:17:46,520 Speaker 1: or someone who doesn't quite know what they're getting into. 282 00:17:46,560 --> 00:17:48,119 Speaker 1: Because that moment, I'm was like, what do you think 283 00:17:48,160 --> 00:17:53,399 Speaker 1: of that? Far I'm watching you right there? What is 284 00:17:53,400 --> 00:17:57,600 Speaker 1: something you think is overrated? Katherine um so kind of 285 00:17:57,600 --> 00:18:01,679 Speaker 1: speaking of like overdoing it as Americans think eating meat. 286 00:18:02,600 --> 00:18:04,520 Speaker 1: I think we need to rethink meat. I say this 287 00:18:04,600 --> 00:18:08,600 Speaker 1: is a non vegetarian. I feel like non vegetarians need 288 00:18:08,960 --> 00:18:14,480 Speaker 1: to rethink how much meat they consume. I feel like 289 00:18:14,520 --> 00:18:17,360 Speaker 1: people who are not vegetarians like eat meat every day 290 00:18:17,359 --> 00:18:20,639 Speaker 1: without thinking about it. And I think we need to 291 00:18:20,720 --> 00:18:23,080 Speaker 1: chill out on that, especially because in all the news 292 00:18:23,160 --> 00:18:25,080 Speaker 1: right now, we're learning that, like it's all the meat 293 00:18:25,119 --> 00:18:29,240 Speaker 1: processing plants that are hot spots for COVID, and then 294 00:18:29,240 --> 00:18:32,280 Speaker 1: we're learning that they've always been really dangerous for people 295 00:18:32,320 --> 00:18:34,639 Speaker 1: to work in. And we're learning like all these things 296 00:18:34,680 --> 00:18:38,800 Speaker 1: that have to do with humanitarian reasons why we should 297 00:18:38,800 --> 00:18:41,160 Speaker 1: stop eating me Like, if we don't care about the animals, 298 00:18:41,200 --> 00:18:43,280 Speaker 1: that's like kind of a lost cause. But maybe other 299 00:18:43,320 --> 00:18:47,479 Speaker 1: people we care about. I don't know. It's almost as 300 00:18:47,520 --> 00:18:51,119 Speaker 1: if someone one fourteen years ago tried to tell people 301 00:18:51,280 --> 00:18:55,320 Speaker 1: what it was like working in meat packing places. It's 302 00:18:55,359 --> 00:18:59,920 Speaker 1: almost like that the jungle anyway, and we can't We've 303 00:19:00,080 --> 00:19:02,720 Speaker 1: still come around and being like, yeah, this is still 304 00:19:02,760 --> 00:19:06,480 Speaker 1: the scene of like abject mistreatment of workers. Yeah, And 305 00:19:06,520 --> 00:19:09,720 Speaker 1: I think Americans who aren't vegetarians are like, fuck you, 306 00:19:09,800 --> 00:19:11,720 Speaker 1: I'm gonna eat meat every day. But it's like, what 307 00:19:11,960 --> 00:19:15,640 Speaker 1: if we weren't vegetarians but we still considered meat something 308 00:19:15,720 --> 00:19:20,240 Speaker 1: rare and special. I don't know, we could do it. Maybe, Yeah, 309 00:19:20,280 --> 00:19:23,880 Speaker 1: I think you can like sort of reorient the way 310 00:19:23,920 --> 00:19:26,959 Speaker 1: you think about ship like that. It's all just just 311 00:19:27,119 --> 00:19:30,080 Speaker 1: now that I've been eating less meat, not even not 312 00:19:30,160 --> 00:19:32,440 Speaker 1: even trying to be a good person, just because I'm 313 00:19:32,440 --> 00:19:35,280 Speaker 1: like going out shopping less and it's really perishable. So 314 00:19:35,320 --> 00:19:36,760 Speaker 1: I'm like, all right, I guess I'm just not gonna 315 00:19:36,760 --> 00:19:42,400 Speaker 1: eat it like it is now more than ever exactly. 316 00:19:42,400 --> 00:19:44,679 Speaker 1: I mean, the knock on effects of our meat consumption 317 00:19:44,800 --> 00:19:48,399 Speaker 1: can be felt in the environment and working conditions. I 318 00:19:48,480 --> 00:19:50,560 Speaker 1: just actually, it's funny because I just bought I just 319 00:19:50,600 --> 00:19:55,280 Speaker 1: got some impossible meat at my grocer yesterday because I 320 00:19:55,280 --> 00:19:57,359 Speaker 1: was like, you know what, I'm gonna I'm just gonna 321 00:19:57,359 --> 00:20:00,679 Speaker 1: start eating impossible burgers again, because I it's like a 322 00:20:00,680 --> 00:20:02,640 Speaker 1: great comfort food because we would eat it a lot 323 00:20:02,680 --> 00:20:04,359 Speaker 1: for lunch when we were all working in the same 324 00:20:04,359 --> 00:20:10,680 Speaker 1: office back in the day. But yeah, like I think 325 00:20:10,720 --> 00:20:13,520 Speaker 1: it is. You know, it's something I've even grappled with 326 00:20:13,560 --> 00:20:16,000 Speaker 1: because like I've always been like as a kid, Like 327 00:20:16,040 --> 00:20:19,119 Speaker 1: the joke was like Miles only eats meat, like he does. 328 00:20:19,280 --> 00:20:21,840 Speaker 1: I mean, I ate vegetables too, but like my relatives 329 00:20:21,840 --> 00:20:24,560 Speaker 1: in Japan, because in Japan the meat diet isn't as 330 00:20:25,000 --> 00:20:28,000 Speaker 1: heavy there. It's now much more popular, but early on 331 00:20:28,560 --> 00:20:30,199 Speaker 1: I remember my relative who I tease me like, oh, 332 00:20:30,200 --> 00:20:33,680 Speaker 1: here comes meat boy because meat boys meat. Yeah yeah, 333 00:20:33,880 --> 00:20:38,320 Speaker 1: rather than like fish or other things or like yeah. 334 00:20:38,320 --> 00:20:41,960 Speaker 1: I was the exact opposite in that my extended family 335 00:20:42,119 --> 00:20:45,000 Speaker 1: at one time at a barbecue when I was like 336 00:20:45,080 --> 00:20:48,159 Speaker 1: five or six. I was raised like pescterium for the 337 00:20:48,240 --> 00:20:50,320 Speaker 1: first part of my life, and they were like, Jack, 338 00:20:50,320 --> 00:20:53,879 Speaker 1: do you want like hamburger, hot dog or steak? And 339 00:20:53,920 --> 00:20:56,800 Speaker 1: I was like what steak? I literally didn't know what 340 00:20:56,880 --> 00:20:59,479 Speaker 1: a steak was, and they were like, what's going on? 341 00:20:59,680 --> 00:21:04,600 Speaker 1: Jim to my dad's dad, Yeah, like shamed him for me, 342 00:21:05,040 --> 00:21:07,520 Speaker 1: But that's funny, and we have these like I think 343 00:21:07,600 --> 00:21:09,720 Speaker 1: especially for I think for me as a man too, 344 00:21:09,840 --> 00:21:12,160 Speaker 1: like when I was a teenager eating like a lot 345 00:21:12,200 --> 00:21:15,040 Speaker 1: of my food habits have were borne out of like 346 00:21:15,160 --> 00:21:18,440 Speaker 1: puberty and college where I was just like, yeah, dude, 347 00:21:18,520 --> 00:21:20,880 Speaker 1: I fucking eat anything. I'm growing. I need to eat 348 00:21:20,920 --> 00:21:23,480 Speaker 1: all this ship. It's also like a dick measuring contest 349 00:21:23,520 --> 00:21:26,520 Speaker 1: on like food I can eat and like it took 350 00:21:26,720 --> 00:21:29,760 Speaker 1: years to be able to let these fucked habitscore. I'm like, 351 00:21:30,240 --> 00:21:32,800 Speaker 1: I'm like, I used to like performatively just eat a 352 00:21:32,800 --> 00:21:35,560 Speaker 1: lot of food, so just for like the lulls, and 353 00:21:35,560 --> 00:21:37,159 Speaker 1: now I'm like, what the funk? This is bad? And 354 00:21:37,200 --> 00:21:40,600 Speaker 1: also like perceptions of like masculinity as it relates to meat, 355 00:21:40,920 --> 00:21:43,880 Speaker 1: I'm like, no, man, it is part of toxic masculinity, 356 00:21:44,160 --> 00:21:48,800 Speaker 1: weirdly to unpack, to unpack the yep yep. So I 357 00:21:48,840 --> 00:21:52,359 Speaker 1: eat my impossible burger and I'm feeling manly. Do you 358 00:21:52,359 --> 00:21:55,719 Speaker 1: have like do you have when you're eating the impossible burgers? 359 00:21:55,720 --> 00:21:58,520 Speaker 1: Do you have cut outs of like Anna Nick and 360 00:21:59,160 --> 00:22:02,520 Speaker 1: up around the table and I order I'd order way 361 00:22:02,560 --> 00:22:05,760 Speaker 1: more extra catch up for Nick because he famously just 362 00:22:05,800 --> 00:22:08,960 Speaker 1: like it's like gaspacho, souper and burger the way he 363 00:22:11,320 --> 00:22:17,240 Speaker 1: really goes in. Um, what is a myth, Catherine? What? 364 00:22:17,240 --> 00:22:19,919 Speaker 1: What's something people think it's true you know to be 365 00:22:20,000 --> 00:22:24,119 Speaker 1: false or vice versa. So the idea of a patient zero, 366 00:22:24,359 --> 00:22:30,119 Speaker 1: specifically as it relates to the HIV epidemic, the COVID 367 00:22:30,160 --> 00:22:34,359 Speaker 1: bad isn't real. Probably not one of the reasons. So 368 00:22:34,400 --> 00:22:36,399 Speaker 1: there's a couple of reasons why patient zero is a 369 00:22:36,400 --> 00:22:38,480 Speaker 1: false premise. In one of them, I think it's so 370 00:22:38,600 --> 00:22:41,800 Speaker 1: interesting and so basic. It's all about linguistics. The doctor 371 00:22:41,840 --> 00:22:44,879 Speaker 1: who wrote up the report about patient zero, he actually 372 00:22:44,920 --> 00:22:48,159 Speaker 1: didn't write zero. He wrote oh as in, this is 373 00:22:48,200 --> 00:22:50,399 Speaker 1: our patient who was outside of California, because they were 374 00:22:50,400 --> 00:22:54,080 Speaker 1: studying people in California. But it got misinterpreted as patient zero, 375 00:22:54,119 --> 00:22:57,520 Speaker 1: which obviously is a way cooler like branding. Right it 376 00:22:57,640 --> 00:23:04,040 Speaker 1: sounds good yea, And it's on the disease within themselves. Yeah, yeah, 377 00:23:04,240 --> 00:23:06,439 Speaker 1: I will make it. Because the myth is about like 378 00:23:06,480 --> 00:23:09,240 Speaker 1: a flight attendant, right, yeah, exactly, a guy who he 379 00:23:09,359 --> 00:23:11,920 Speaker 1: was a flight attendant and French Canadian or something French 380 00:23:11,920 --> 00:23:16,880 Speaker 1: Canadian hum Gaiton Dugas I think was his name. And 381 00:23:17,000 --> 00:23:19,639 Speaker 1: the idea was that he was just an absolute sex maniac, 382 00:23:19,760 --> 00:23:23,159 Speaker 1: going from city to city on the airplanes and fucking everybody, 383 00:23:23,240 --> 00:23:25,600 Speaker 1: and that he knew he was sick, but he didn't care. 384 00:23:25,680 --> 00:23:28,639 Speaker 1: He just had to bang constantly. So none of that 385 00:23:28,800 --> 00:23:32,280 Speaker 1: was really true. It's just a good story in the 386 00:23:32,320 --> 00:23:33,720 Speaker 1: sense of like all it's going to get all the 387 00:23:33,720 --> 00:23:40,159 Speaker 1: conservatives upset. But yeah, and one of the reasons why 388 00:23:40,720 --> 00:23:44,080 Speaker 1: he was actually incredibly helpful was studying HIV. It's actually 389 00:23:44,119 --> 00:23:47,399 Speaker 1: really heartbreaking that he was so demonized because the reason 390 00:23:47,480 --> 00:23:50,879 Speaker 1: he was so helpful was because he actually remembered the 391 00:23:51,000 --> 00:23:53,119 Speaker 1: names of most of the people he had sex with, 392 00:23:53,960 --> 00:23:56,080 Speaker 1: so they were able to trace from him, whereas all 393 00:23:56,119 --> 00:23:58,119 Speaker 1: the other early patients were like, I don't know, I 394 00:23:58,160 --> 00:24:00,480 Speaker 1: don't know who any of these people were. So he 395 00:24:00,640 --> 00:24:03,000 Speaker 1: was like sweet enough to catch their names, and then 396 00:24:03,040 --> 00:24:09,119 Speaker 1: he got in trouble for it essentially, So he was 397 00:24:09,480 --> 00:24:13,520 Speaker 1: just noteworthy because he was so helpful to researchers, and 398 00:24:13,600 --> 00:24:16,520 Speaker 1: like there was so much written up on him because 399 00:24:16,520 --> 00:24:20,359 Speaker 1: he was able to help do like contact tracing. Yeah, 400 00:24:20,400 --> 00:24:22,159 Speaker 1: that's exactly what it was. And then this book was 401 00:24:22,200 --> 00:24:24,199 Speaker 1: published a few years after he died, called and the 402 00:24:24,240 --> 00:24:26,280 Speaker 1: Band Played On, which is pretty famous I think a 403 00:24:26,320 --> 00:24:31,359 Speaker 1: documentary version is, and the person writing it like laid 404 00:24:31,440 --> 00:24:34,679 Speaker 1: all of the blame for HIV essentially on him. And 405 00:24:34,680 --> 00:24:36,920 Speaker 1: then a few years after that, the editor of the 406 00:24:36,960 --> 00:24:40,080 Speaker 1: book publicly apologized, saying that he let the author do 407 00:24:40,160 --> 00:24:42,119 Speaker 1: that on purpose because he knew it would drum up 408 00:24:42,119 --> 00:24:44,880 Speaker 1: book sales and he knew that it wasn't true. Oh 409 00:24:45,600 --> 00:24:51,200 Speaker 1: damn yeah, not worth it, No, not at all. It's crazy. 410 00:24:51,359 --> 00:24:53,840 Speaker 1: So that's another thing I think, like in in these 411 00:24:53,920 --> 00:24:56,520 Speaker 1: times that looking for a patient zero, and I see 412 00:24:56,920 --> 00:24:59,879 Speaker 1: in the media they'll still do that, like patient zero's 413 00:25:00,040 --> 00:25:03,120 Speaker 1: zero or like patient zero of this particular outbreak in Chicago. 414 00:25:03,119 --> 00:25:05,680 Speaker 1: It's like, I don't know, I don't know we should 415 00:25:05,680 --> 00:25:08,159 Speaker 1: be doing that. I don't know what benefit there is. 416 00:25:08,400 --> 00:25:12,600 Speaker 1: I mean maybe just for the purposes of scientific data gathering, 417 00:25:12,680 --> 00:25:15,640 Speaker 1: as like some way to just identify, like I think 418 00:25:15,760 --> 00:25:17,840 Speaker 1: this is where we need to look first, but like 419 00:25:17,880 --> 00:25:20,560 Speaker 1: for the meeting, that concept of it, I think is 420 00:25:20,600 --> 00:25:22,280 Speaker 1: what you're like talking about is like how we need 421 00:25:22,680 --> 00:25:26,199 Speaker 1: like who do we blame exactly? Funk? Was it? Who ate? 422 00:25:26,280 --> 00:25:30,560 Speaker 1: Some weird ship? What the like? That's I think what 423 00:25:30,800 --> 00:25:33,560 Speaker 1: that idea of a patient zero helps people do is 424 00:25:33,640 --> 00:25:35,840 Speaker 1: just be like, funk that person. It just builds up 425 00:25:35,840 --> 00:25:38,160 Speaker 1: their anger. Also, speaking of which, I want to say 426 00:25:38,200 --> 00:25:40,600 Speaker 1: that we keep saying wet market in America, I think 427 00:25:40,640 --> 00:25:42,520 Speaker 1: because it sounds gross, so we get to think that 428 00:25:42,560 --> 00:25:45,760 Speaker 1: it's gross it's a farmer's market. If we just called 429 00:25:45,800 --> 00:25:48,000 Speaker 1: it a farmer's market, people would have a clearer idea 430 00:25:48,040 --> 00:25:49,600 Speaker 1: of what they were talking about, and maybe a less 431 00:25:49,680 --> 00:25:52,119 Speaker 1: racist one. I don't know, maybe what why do they call? What? 432 00:25:52,320 --> 00:25:55,480 Speaker 1: Where did that designation of wet market? Like? What do 433 00:25:55,520 --> 00:25:57,199 Speaker 1: you have to be to be have a wet market? 434 00:25:57,480 --> 00:25:59,800 Speaker 1: I think it's the things that they sell there. If 435 00:25:59,800 --> 00:26:02,560 Speaker 1: I'm remember in correctly that a wet market has meat 436 00:26:02,640 --> 00:26:06,040 Speaker 1: and the dry market is like only um like grains 437 00:26:06,080 --> 00:26:10,040 Speaker 1: and stuff like also fresh meat, fish, produce, imperishable goods. Yeah, 438 00:26:10,240 --> 00:26:14,280 Speaker 1: the fucking farmer's market. There's not a fish not a 439 00:26:14,280 --> 00:26:16,840 Speaker 1: fishmonger there. There's not a meat person there, there's not 440 00:26:16,880 --> 00:26:22,840 Speaker 1: the every person selling produce. Really interesting. Yeah, wow, alright, guys, 441 00:26:22,920 --> 00:26:25,040 Speaker 1: let's take a quick break and we'll be right back. 442 00:26:35,320 --> 00:26:40,360 Speaker 1: And we're back. So this piece by uh Aaron Bromage, 443 00:26:40,560 --> 00:26:46,520 Speaker 1: the professor of epidemiology from UMSS. I wanted to talk 444 00:26:46,560 --> 00:26:49,120 Speaker 1: a little bit more about it. Yesterday we talked kind 445 00:26:49,160 --> 00:26:52,200 Speaker 1: of about some of the macro stuff, but today I 446 00:26:52,240 --> 00:26:55,679 Speaker 1: wanted to talk about some of the details because he 447 00:26:55,760 --> 00:26:59,520 Speaker 1: kind of gets into the weeds of how the virus 448 00:26:59,600 --> 00:27:03,720 Speaker 1: like is transmitted and he uses a couple of different 449 00:27:04,080 --> 00:27:08,120 Speaker 1: sort of case studies, but basically it's a lot of 450 00:27:08,640 --> 00:27:13,560 Speaker 1: studying of like how much viral load gross phrase, but 451 00:27:14,040 --> 00:27:17,960 Speaker 1: one that is actually helpful for understanding like how the 452 00:27:18,000 --> 00:27:21,760 Speaker 1: thing is transmitted. So for instance, a single cop released 453 00:27:21,760 --> 00:27:27,720 Speaker 1: about three thousand droplets a sneeze thirty thousand droplets. A 454 00:27:27,800 --> 00:27:31,840 Speaker 1: breath is only like fifty to five hundred droplets or 455 00:27:31,840 --> 00:27:35,360 Speaker 1: fifty or five thousand, depending on how long it's taking, 456 00:27:35,920 --> 00:27:38,560 Speaker 1: how long you're spending with the person. But it really 457 00:27:38,600 --> 00:27:42,960 Speaker 1: seems like the main thing to keep in mind is 458 00:27:43,280 --> 00:27:48,760 Speaker 1: like spending a lot of time with people indoors, Like 459 00:27:48,800 --> 00:27:53,680 Speaker 1: they did this uh they said exposure to virus times 460 00:27:53,840 --> 00:27:57,840 Speaker 1: uh time formula, and that's basically how they're doing all 461 00:27:57,880 --> 00:28:01,680 Speaker 1: contact tracing. UM. So if you spend greater than ten 462 00:28:01,720 --> 00:28:05,000 Speaker 1: minutes in a face to face situation, they view that 463 00:28:05,040 --> 00:28:09,960 Speaker 1: person as potentially infected. Um. And they so they looked 464 00:28:10,000 --> 00:28:15,720 Speaker 1: at like this one restaurant where just the direction that 465 00:28:15,760 --> 00:28:18,959 Speaker 1: the air was moving like through the room based on 466 00:28:19,000 --> 00:28:24,880 Speaker 1: like where events were um determined like which people at 467 00:28:26,240 --> 00:28:30,960 Speaker 1: the table and then which table around the original person 468 00:28:31,000 --> 00:28:35,080 Speaker 1: who was infected got infected. But then they also looked 469 00:28:35,240 --> 00:28:39,880 Speaker 1: at a workplace and it was just basically one entire 470 00:28:39,960 --> 00:28:44,160 Speaker 1: side of an office got infected and nobody on the 471 00:28:44,200 --> 00:28:49,080 Speaker 1: other side because it was all it's all location based, basically, 472 00:28:49,360 --> 00:28:52,000 Speaker 1: it's just being around the person for a long time. 473 00:28:52,400 --> 00:28:54,840 Speaker 1: When we're talking yesterday and I was like, oh my god, 474 00:28:54,880 --> 00:28:56,960 Speaker 1: it's gonna be hard to do a podcast because that 475 00:28:57,000 --> 00:28:59,520 Speaker 1: workplace talking about was like a call center and they 476 00:28:59,520 --> 00:29:03,160 Speaker 1: talked and bro bromage if we're gonna honor the French 477 00:29:03,200 --> 00:29:07,760 Speaker 1: pronunciation of it um rather than brom mage, which I'm 478 00:29:07,800 --> 00:29:12,040 Speaker 1: sure in college, dude, get brom mage in here. The 479 00:29:12,280 --> 00:29:16,000 Speaker 1: like just sort of the idea that like, right, like 480 00:29:16,120 --> 00:29:20,400 Speaker 1: speaking is another version of expelling these droplets and increases 481 00:29:20,440 --> 00:29:23,840 Speaker 1: to the viral load time versus exposure thing. And it 482 00:29:23,880 --> 00:29:25,960 Speaker 1: really I was like, damn, it's like the ventilation is 483 00:29:26,040 --> 00:29:29,440 Speaker 1: so key, like because if like you know, outside is 484 00:29:29,480 --> 00:29:33,680 Speaker 1: a completely different hole back because it's not confined space. 485 00:29:33,720 --> 00:29:37,120 Speaker 1: There's natural airflow, like it's way less risky. But just 486 00:29:37,200 --> 00:29:40,040 Speaker 1: even in a thing with even with a C that's 487 00:29:40,040 --> 00:29:42,680 Speaker 1: just swirling it around. And I think that's why for me, 488 00:29:42,720 --> 00:29:45,360 Speaker 1: it makes me you realize why, especially people who are 489 00:29:45,360 --> 00:29:48,960 Speaker 1: working in grocery stores are particularly vulnerable us As someone 490 00:29:49,080 --> 00:29:52,680 Speaker 1: like a consumer goes to a shopping a market maybe 491 00:29:53,000 --> 00:29:55,400 Speaker 1: twenty to forty minutes you get all your shopping done, 492 00:29:55,800 --> 00:29:58,280 Speaker 1: Versus someone who's working an eight hour shift in that 493 00:29:58,440 --> 00:30:01,400 Speaker 1: same building with people constantly going in and out. That's 494 00:30:01,400 --> 00:30:03,720 Speaker 1: a completely different risk factor. And then you're like, oh, 495 00:30:03,880 --> 00:30:07,280 Speaker 1: like it's it's much less of like, oh, that person 496 00:30:07,360 --> 00:30:09,080 Speaker 1: is not wearing a mask. In this context, it sort 497 00:30:09,120 --> 00:30:12,000 Speaker 1: of helps you understand, like truly like why places like 498 00:30:12,000 --> 00:30:17,720 Speaker 1: you're saying, meat processing places your shoulder to shoulder terrible ventilation. Yeah. 499 00:30:18,280 --> 00:30:20,680 Speaker 1: I read another element of that too that I totally 500 00:30:20,680 --> 00:30:23,000 Speaker 1: didn't think of is that in meat processing plants the 501 00:30:23,040 --> 00:30:25,560 Speaker 1: machinery is so loud that you have to yell right 502 00:30:25,600 --> 00:30:29,680 Speaker 1: in people's faces to be heard. So that's not that. Yeah. 503 00:30:30,480 --> 00:30:32,400 Speaker 1: I watched a video that a Q and A that 504 00:30:32,440 --> 00:30:35,000 Speaker 1: a doctor did a while back, and one of the 505 00:30:35,080 --> 00:30:38,160 Speaker 1: questions was, when I go outside to run an errand 506 00:30:38,200 --> 00:30:40,520 Speaker 1: or whatever, do I need to wash my clothes immediately 507 00:30:40,680 --> 00:30:43,400 Speaker 1: after I get home? And he said, no, I do, 508 00:30:43,720 --> 00:30:46,200 Speaker 1: because I'm a doctor and I'm in the hospital all day. 509 00:30:46,320 --> 00:30:48,440 Speaker 1: You going to the grocery store, You're fine. I wouldn't 510 00:30:48,440 --> 00:30:50,360 Speaker 1: even worry about it. I take off all my clothes 511 00:30:50,360 --> 00:30:54,480 Speaker 1: and throat in the washing when I get home, You're fine, right, yeah, yeah, 512 00:30:54,520 --> 00:30:58,280 Speaker 1: because that's you know, all the surfaces, all the all 513 00:30:58,320 --> 00:31:00,800 Speaker 1: the difference. I mean, unless somebody was like sneezing on 514 00:31:00,920 --> 00:31:05,120 Speaker 1: your back or something with it that right, I don't know. 515 00:31:05,160 --> 00:31:07,760 Speaker 1: I got these air pods and I'm blasting metal when 516 00:31:07,800 --> 00:31:09,560 Speaker 1: I'm in the when I'm in the shopping center, just 517 00:31:09,600 --> 00:31:13,400 Speaker 1: stay focused. Having someone sneeze on my back is actually 518 00:31:13,400 --> 00:31:17,840 Speaker 1: my kink. So this has made this very difficult. But 519 00:31:17,960 --> 00:31:19,720 Speaker 1: you have to be but he has to be wearing 520 00:31:19,760 --> 00:31:25,200 Speaker 1: an old Jerry Stackhouse seventy sixers throwbacks. That's very specific 521 00:31:25,760 --> 00:31:29,840 Speaker 1: and it's just what you need. It is, and that's 522 00:31:29,840 --> 00:31:33,760 Speaker 1: all I needed. Let's talk about how people are feeling 523 00:31:34,000 --> 00:31:39,160 Speaker 1: as we entered this week, where people were, you know, 524 00:31:39,280 --> 00:31:42,520 Speaker 1: the media was suggesting that maybe we're gonna see a 525 00:31:42,520 --> 00:31:45,880 Speaker 1: lot of different places open back up. There's a there's 526 00:31:45,920 --> 00:31:49,640 Speaker 1: a pull from the Washington Post that shows an interesting 527 00:31:49,680 --> 00:31:55,400 Speaker 1: relationship between a governor's approval numbers and like how aggressive 528 00:31:55,680 --> 00:31:59,560 Speaker 1: they're being when it comes to their containment policies. Yeah, 529 00:31:59,840 --> 00:32:01,640 Speaker 1: it's and this is kind of part of the thing 530 00:32:01,640 --> 00:32:03,840 Speaker 1: we're talking about. Like, and then when you watch the 531 00:32:03,880 --> 00:32:07,160 Speaker 1: news or read articles. It's always like amid pressure from 532 00:32:07,200 --> 00:32:10,880 Speaker 1: citizens or amid pressure from blah blah blah, governors are 533 00:32:10,880 --> 00:32:12,800 Speaker 1: trying to figure out a way to open as quickly 534 00:32:12,840 --> 00:32:17,320 Speaker 1: as possible. But this poll, I think completely undermines that sentiment. 535 00:32:17,640 --> 00:32:21,120 Speaker 1: You look at again overall state governor approval of like 536 00:32:21,160 --> 00:32:26,120 Speaker 1: how they're handling situations around seventy So Ohio where Dawine 537 00:32:26,240 --> 00:32:28,960 Speaker 1: is doing a pretty decent job eighty six percent approval. 538 00:32:29,040 --> 00:32:30,920 Speaker 1: That's a state that went for Trump and he has 539 00:32:30,960 --> 00:32:33,800 Speaker 1: eighty six percent approval, and comparatively, he is not trying 540 00:32:33,840 --> 00:32:36,440 Speaker 1: to open the state as aggressively as someone like let's 541 00:32:36,480 --> 00:32:40,480 Speaker 1: say Greg Abbott who has fifty seven percent approval, or 542 00:32:40,720 --> 00:32:43,840 Speaker 1: camp in Georgia who has thirty nine percent approval. So 543 00:32:43,840 --> 00:32:47,040 Speaker 1: it's funny, like when you look at this, you're saying, okay, 544 00:32:47,160 --> 00:32:49,840 Speaker 1: even states that have Democrat governors that are doing this, 545 00:32:50,000 --> 00:32:53,480 Speaker 1: there is they are getting some bit of bipartisan support 546 00:32:53,560 --> 00:32:56,200 Speaker 1: for being like yeah, man, like this is what needs 547 00:32:56,200 --> 00:32:59,200 Speaker 1: to happen. Um And especially like Ohio. I think it's 548 00:32:59,200 --> 00:33:01,920 Speaker 1: a really interesting in case because that's a swing state. 549 00:33:02,240 --> 00:33:05,360 Speaker 1: There's that went for Trump. This isn't like, hey man, 550 00:33:05,600 --> 00:33:09,000 Speaker 1: let's let's open everything back up there being very cautious 551 00:33:09,000 --> 00:33:11,520 Speaker 1: and his he has the highest approval rating. That's like 552 00:33:11,680 --> 00:33:16,360 Speaker 1: real bipartisan support for his leadership. And that's what makes 553 00:33:16,800 --> 00:33:20,320 Speaker 1: this whole thing very It's hard for someone like Trump 554 00:33:20,320 --> 00:33:23,160 Speaker 1: and the people who cry for reopening because when they 555 00:33:23,200 --> 00:33:26,360 Speaker 1: look at this poll. Trump clearly saw this because he 556 00:33:26,400 --> 00:33:30,560 Speaker 1: tweeted immediately right that there's like based governor aproval. He tweeted, 557 00:33:30,800 --> 00:33:33,400 Speaker 1: remember this everyone who has sky higher approval on their 558 00:33:33,640 --> 00:33:36,240 Speaker 1: handling of the coronavirus, and I'm happy for them all 559 00:33:36,480 --> 00:33:38,920 Speaker 1: could in no way have gotten those numbers or had 560 00:33:38,960 --> 00:33:41,960 Speaker 1: that success without me and the federal government's help, from 561 00:33:42,000 --> 00:33:45,920 Speaker 1: ventilators to testing. We made it happen. Shut the fuck up. 562 00:33:46,640 --> 00:33:49,960 Speaker 1: You're missing the point. The whole point here, Champ, is 563 00:33:50,000 --> 00:33:53,920 Speaker 1: that the governors who are locking down are getting better numbers. 564 00:33:53,960 --> 00:33:57,719 Speaker 1: Funck with not because you gave them testing. The people say, 565 00:33:57,840 --> 00:34:01,200 Speaker 1: I like the leadership, this person is demast I feel safe. 566 00:34:01,440 --> 00:34:04,200 Speaker 1: That's what's safe, is too people not that they want 567 00:34:04,200 --> 00:34:09,439 Speaker 1: to reopen. It's really a bizarre, bizarre dynamic right now. Yeah, 568 00:34:09,600 --> 00:34:11,600 Speaker 1: I I feel I feel like there there is like 569 00:34:12,320 --> 00:34:16,920 Speaker 1: it makes sense that it incentivizes uh, like businesses that 570 00:34:17,000 --> 00:34:19,840 Speaker 1: want to open anyways, and I don't I'm not talking 571 00:34:19,840 --> 00:34:22,799 Speaker 1: about small businesses. I'm talking about like large chains and 572 00:34:22,920 --> 00:34:25,800 Speaker 1: stuff like that. It behooves them to say, well, everyone's 573 00:34:25,800 --> 00:34:28,799 Speaker 1: saying we have to open again, and there's no real 574 00:34:28,840 --> 00:34:31,719 Speaker 1: way to quantify that. So there is an easy way 575 00:34:31,719 --> 00:34:33,680 Speaker 1: to craft a media narrative of like, Okay, we have 576 00:34:33,760 --> 00:34:38,160 Speaker 1: these pictures of some people are protesting, and those groups, 577 00:34:38,400 --> 00:34:43,239 Speaker 1: while infuriating, are in the minority of people. And you 578 00:34:43,320 --> 00:34:45,319 Speaker 1: have like companies that want to open and want to 579 00:34:45,320 --> 00:34:47,360 Speaker 1: start getting revenue again, And it's very very easy to 580 00:34:47,400 --> 00:34:49,920 Speaker 1: craft that media narrative and then and then also just 581 00:34:49,960 --> 00:34:57,479 Speaker 1: force people back to work in unsafe conditions um as well. Well, yeah, 582 00:34:57,480 --> 00:35:03,520 Speaker 1: there's another poll that asks Americans like, are you would 583 00:35:03,520 --> 00:35:08,720 Speaker 1: you rather America like open to like get businesses back open, 584 00:35:09,360 --> 00:35:11,960 Speaker 1: or would you rather than be cautious and wait and 585 00:35:12,080 --> 00:35:16,200 Speaker 1: keep businesses closed? And when you ask all American adults 586 00:35:16,200 --> 00:35:19,880 Speaker 1: at seventy one a cautious approach, and when you even 587 00:35:19,880 --> 00:35:23,120 Speaker 1: focus it on laid off or for load workers, it's 588 00:35:23,200 --> 00:35:28,760 Speaker 1: seventy nine percent are looking for a more cautious approach. 589 00:35:28,920 --> 00:35:33,279 Speaker 1: So that energy to reopen is really it seems like 590 00:35:33,320 --> 00:35:37,560 Speaker 1: it's coming from the Coke Brothers and like the you 591 00:35:37,600 --> 00:35:41,640 Speaker 1: know the as yeah, I mean, because there's it's also 592 00:35:41,680 --> 00:35:45,000 Speaker 1: like there's not the infrastructure structure to open a lot 593 00:35:45,040 --> 00:35:48,399 Speaker 1: of like reopen a lot of places safely where I've 594 00:35:48,440 --> 00:35:50,359 Speaker 1: been seeing a lot of this, And then I have 595 00:35:50,600 --> 00:35:54,520 Speaker 1: like friends and family who like use public transit to 596 00:35:54,520 --> 00:35:57,000 Speaker 1: get to work, but they're like, okay, so the cafe 597 00:35:57,080 --> 00:36:00,200 Speaker 1: I work at is reopening, but they're not allowing and 598 00:36:00,440 --> 00:36:02,480 Speaker 1: like if you can't get your job back unless you 599 00:36:02,520 --> 00:36:04,239 Speaker 1: have a car, And some of these people live in 600 00:36:04,280 --> 00:36:07,360 Speaker 1: like New York City and gigantic cities where it makes 601 00:36:07,400 --> 00:36:10,279 Speaker 1: no sense for that to be the demand, and so 602 00:36:10,360 --> 00:36:12,560 Speaker 1: it's like, you know, there is a demand to open 603 00:36:12,600 --> 00:36:15,120 Speaker 1: the business of the business can start generating revenue, but 604 00:36:15,160 --> 00:36:18,600 Speaker 1: there's no precautions taken for the workers. There's no like 605 00:36:19,360 --> 00:36:22,480 Speaker 1: plan for recourse of getting them there safely, of providing 606 00:36:22,520 --> 00:36:24,239 Speaker 1: them with the safety that they need to do it, 607 00:36:24,600 --> 00:36:28,400 Speaker 1: and so people are like remaining unemployed as well, and 608 00:36:28,480 --> 00:36:31,520 Speaker 1: it's just yeah, well I think that the like the 609 00:36:31,600 --> 00:36:35,520 Speaker 1: main refrain too is like from every doctor's like without 610 00:36:35,600 --> 00:36:40,000 Speaker 1: sorting out the biology piece of this, there is no economy, Like, 611 00:36:40,239 --> 00:36:42,840 Speaker 1: I don't understand what every science like, I don't understand 612 00:36:42,840 --> 00:36:45,160 Speaker 1: why you're worried about that. If people get sick and die, 613 00:36:45,200 --> 00:36:49,200 Speaker 1: you're gonna be dealing with a debilitating crisis in perpetuity 614 00:36:49,280 --> 00:36:53,640 Speaker 1: that will guarantee the absolute economic economic financial demise of 615 00:36:53,680 --> 00:36:57,279 Speaker 1: the country because you're you're basically trying to operate in 616 00:36:57,360 --> 00:37:00,400 Speaker 1: like these conditions. It's it's just antithetic, cool to the 617 00:37:00,400 --> 00:37:03,360 Speaker 1: outcome you're looking for. It's like, if you want economy, 618 00:37:03,400 --> 00:37:07,040 Speaker 1: because look what something like our economy is consumer spending, 619 00:37:07,360 --> 00:37:10,160 Speaker 1: then you need consumers that are healthy, that have faith 620 00:37:10,280 --> 00:37:13,759 Speaker 1: in going outside. The numbers are telling you right now, 621 00:37:14,280 --> 00:37:17,520 Speaker 1: nearly three fourths of the country is not feeling that way. 622 00:37:17,600 --> 00:37:19,600 Speaker 1: So even if you do, these people aren't ready to 623 00:37:19,680 --> 00:37:21,719 Speaker 1: go out and start throwing their cash around. That's like, 624 00:37:21,920 --> 00:37:24,279 Speaker 1: and also jobs, like no one has a sense of 625 00:37:24,320 --> 00:37:26,600 Speaker 1: stability because we still don't feel safe in terms of 626 00:37:26,640 --> 00:37:29,120 Speaker 1: like we have treatment and we have a vaccine, we're 627 00:37:29,120 --> 00:37:33,880 Speaker 1: still arriving at that place very slowly. Yeah, just another 628 00:37:33,920 --> 00:37:37,120 Speaker 1: way to disregard human life. Yeah, but I think that's 629 00:37:37,120 --> 00:37:39,680 Speaker 1: why it's important for people to realize, Like when most 630 00:37:39,680 --> 00:37:43,240 Speaker 1: people listening right who say, if you if you actually 631 00:37:43,280 --> 00:37:45,719 Speaker 1: care about science and believe, you're like, yeah, that's not good, 632 00:37:45,840 --> 00:37:48,360 Speaker 1: that doesn't sound good, that these don't sound like good outcomes. 633 00:37:48,360 --> 00:37:50,759 Speaker 1: Oh I could get someone sick. I don't want that. 634 00:37:51,120 --> 00:37:54,040 Speaker 1: But then you think, why are these people insisting we 635 00:37:54,120 --> 00:37:57,319 Speaker 1: go back to work? Haven't they heard that people get sick. 636 00:37:57,600 --> 00:38:01,040 Speaker 1: It's because, again, like we're saying that, the ownership class, 637 00:38:01,080 --> 00:38:03,839 Speaker 1: the people who own these businesses, they're looking at their 638 00:38:03,840 --> 00:38:09,480 Speaker 1: revenues go down, and they're like, get my fucking workers, 639 00:38:09,520 --> 00:38:12,640 Speaker 1: my wage slaves back out there so I can see 640 00:38:12,680 --> 00:38:15,040 Speaker 1: my revenues go back up. It's nothing to do with 641 00:38:15,080 --> 00:38:18,359 Speaker 1: people's safety. And I think that's what I wish. You know, again, 642 00:38:18,400 --> 00:38:20,920 Speaker 1: you're gonna hear that, like when they dissect these pieces, 643 00:38:21,040 --> 00:38:23,040 Speaker 1: like who are these people doing jump squads in front 644 00:38:23,080 --> 00:38:24,799 Speaker 1: of the gym, It's like they're just they've been co 645 00:38:24,880 --> 00:38:27,880 Speaker 1: opted by a group, a very powerful group of wealthy 646 00:38:27,920 --> 00:38:30,480 Speaker 1: people who can give them some pre made signs and 647 00:38:30,520 --> 00:38:32,480 Speaker 1: give them some you know, like a rap sheet to 648 00:38:32,840 --> 00:38:34,719 Speaker 1: go off of when they talk to the media. I 649 00:38:34,719 --> 00:38:37,920 Speaker 1: wonder if they do start like companies, the businesses that 650 00:38:37,960 --> 00:38:41,560 Speaker 1: start opening early, if they'll lose even more money because 651 00:38:41,560 --> 00:38:43,279 Speaker 1: I was thinking about like all the women in those 652 00:38:43,280 --> 00:38:45,200 Speaker 1: televised protests or was talking about how they want to 653 00:38:45,200 --> 00:38:47,080 Speaker 1: get their hair done. Well, I very much would like 654 00:38:47,120 --> 00:38:49,400 Speaker 1: to get my hair done. But if the salon opened today, 655 00:38:49,440 --> 00:38:52,120 Speaker 1: I wouldn't go, and I wouldn't go for months. I 656 00:38:52,120 --> 00:38:54,920 Speaker 1: can live with having like really shaggy hair, it's fine. 657 00:38:55,440 --> 00:38:59,719 Speaker 1: So if if the salon opened today and no one came, 658 00:39:00,440 --> 00:39:03,360 Speaker 1: would they maybe just entirely lose their business? Like it 659 00:39:03,360 --> 00:39:06,000 Speaker 1: seems like they could be worse off. Yeah, I think 660 00:39:06,000 --> 00:39:10,040 Speaker 1: it's a it's a hard balance because again, without consumer confidence, 661 00:39:10,239 --> 00:39:14,880 Speaker 1: there's no consumption. Yeah, I mean there's that Dallas salon. 662 00:39:15,160 --> 00:39:21,320 Speaker 1: I do think somebody like who is pro science should 663 00:39:21,360 --> 00:39:25,839 Speaker 1: maybe organize a boycott for any businesses that are just 664 00:39:26,120 --> 00:39:32,160 Speaker 1: disregarding public health initiatives to try and get open. I'm sure, 665 00:39:32,200 --> 00:39:34,920 Speaker 1: I'm sure that will happen. And like I do feel 666 00:39:34,960 --> 00:39:37,479 Speaker 1: for business owners, but like, there needs to be some 667 00:39:38,360 --> 00:39:43,960 Speaker 1: some incentive for people to do what is best for everyone, right, 668 00:39:44,000 --> 00:39:46,600 Speaker 1: And I think also like, and I completely understand you're 669 00:39:46,600 --> 00:39:49,200 Speaker 1: a small business owner. You're absolutely getting killed by not 670 00:39:49,280 --> 00:39:54,200 Speaker 1: being able to do business. But again, that anger or 671 00:39:54,239 --> 00:39:56,840 Speaker 1: that frustration needs to be aimed at the federal government 672 00:39:56,920 --> 00:39:59,839 Speaker 1: because they're not. You know, other countries are somehow trying 673 00:39:59,840 --> 00:40:03,400 Speaker 1: to find ways to keep things afloat despite the economy 674 00:40:03,440 --> 00:40:05,840 Speaker 1: grinding to a hold, whereas our strategy here is to 675 00:40:05,960 --> 00:40:07,640 Speaker 1: be like, Okay, how can we cut checks for the 676 00:40:07,680 --> 00:40:10,400 Speaker 1: top top one percent? That's what all that's happened. And 677 00:40:10,400 --> 00:40:12,239 Speaker 1: I think, rather than getting mad, it's like, well, I 678 00:40:12,239 --> 00:40:15,200 Speaker 1: can't open my business. I understand that, but you also 679 00:40:15,320 --> 00:40:18,440 Speaker 1: need to look the Trump is giving your fucking money 680 00:40:18,480 --> 00:40:21,600 Speaker 1: away to billionaires that are laughing their asses off right now, 681 00:40:21,680 --> 00:40:25,680 Speaker 1: while your actual small business is fucking dying, and it's 682 00:40:25,680 --> 00:40:28,680 Speaker 1: not because of scientists, it's because of the like, please 683 00:40:28,760 --> 00:40:32,520 Speaker 1: understand the flow of of revenue and cash and capital 684 00:40:32,520 --> 00:40:34,920 Speaker 1: in this country, Like it's not meant to actually help you, 685 00:40:34,960 --> 00:40:38,040 Speaker 1: and and I feel bad when you know, like it 686 00:40:38,160 --> 00:40:42,160 Speaker 1: becomes so apparent that there's just absolute total disregard for 687 00:40:42,360 --> 00:40:45,080 Speaker 1: normal working people. It's like, well, I don't know, did 688 00:40:45,080 --> 00:40:46,560 Speaker 1: you give me over did you give me a six 689 00:40:46,600 --> 00:40:49,320 Speaker 1: figure donation to my pack? Dude? Then I'm not taking 690 00:40:49,320 --> 00:40:52,640 Speaker 1: that call, like I don't give a fuck. Right, Well, 691 00:40:52,719 --> 00:40:58,600 Speaker 1: let's talk about politics, because we are in a presidential election. Year. 692 00:40:58,880 --> 00:41:02,160 Speaker 1: Have you guys heard about this? That Donald Trump is 693 00:41:02,680 --> 00:41:07,520 Speaker 1: running for president against Joe Biden, the guy who I 694 00:41:07,560 --> 00:41:12,960 Speaker 1: guess used to vice president. So there's an interesting new 695 00:41:13,040 --> 00:41:16,200 Speaker 1: pull that says, you know what, one of the things 696 00:41:16,239 --> 00:41:19,800 Speaker 1: that we hear that I've heard a lot, at least 697 00:41:19,840 --> 00:41:23,080 Speaker 1: on on Twitter from the people I follow, is that, like, 698 00:41:23,560 --> 00:41:27,839 Speaker 1: you know, electing Bid or nominating Biden is kind of 699 00:41:27,880 --> 00:41:32,759 Speaker 1: death because people aren't nobody like feels passionately about him. 700 00:41:33,000 --> 00:41:36,279 Speaker 1: And that has always made sense to me. But apparently 701 00:41:36,440 --> 00:41:42,000 Speaker 1: in sixteen, an important voting block was people who wanted 702 00:41:42,040 --> 00:41:45,759 Speaker 1: to vote for somebody but hated both of the candidates 703 00:41:45,920 --> 00:41:49,879 Speaker 1: and voted anyways. Um, and that that ended up being 704 00:41:49,920 --> 00:41:56,680 Speaker 1: about twenty of voters. Uh and uh. Trump outperformed Clinton 705 00:41:57,080 --> 00:42:02,160 Speaker 1: by seventeen percentage points according to exit polls. Yeah, in 706 00:42:02,239 --> 00:42:05,640 Speaker 1: two thousand sixteen, it's you know, people go with the 707 00:42:05,680 --> 00:42:09,040 Speaker 1: devil they don't know. As the article says, like, you know, 708 00:42:09,080 --> 00:42:11,000 Speaker 1: it's like, well, because a lot of people in their mind, 709 00:42:11,000 --> 00:42:14,080 Speaker 1: without even actually thinking about what Donald Trump as president 710 00:42:14,120 --> 00:42:16,520 Speaker 1: would look like, we're just like, I don't know Clinton 711 00:42:16,600 --> 00:42:21,560 Speaker 1: woman like, and I'm willing to think much deeper than that. Um. Now, 712 00:42:21,640 --> 00:42:24,760 Speaker 1: like when they start looking at people like this same 713 00:42:24,800 --> 00:42:30,479 Speaker 1: group of disaffected Republicans, independents, other Democrats, things like that 714 00:42:30,880 --> 00:42:34,680 Speaker 1: Biden is leading that group by forty percentage points and 715 00:42:34,760 --> 00:42:37,120 Speaker 1: that and in according to this poll, like for the 716 00:42:37,160 --> 00:42:40,320 Speaker 1: way people were sort of identifying, that's nearly a quarter 717 00:42:40,440 --> 00:42:43,919 Speaker 1: of registered voters. Now, these are polls and they don't 718 00:42:43,960 --> 00:42:46,759 Speaker 1: mean anything, but it is interesting. I think the one 719 00:42:46,840 --> 00:42:49,480 Speaker 1: thing to see is that with Trump as the incumbent, 720 00:42:50,040 --> 00:42:52,520 Speaker 1: that there is a group of people who are kind 721 00:42:52,520 --> 00:42:55,239 Speaker 1: of looking at it like okay, I mean, I don't 722 00:42:55,239 --> 00:42:57,960 Speaker 1: know if do I want four more of this? Like 723 00:42:58,280 --> 00:43:00,480 Speaker 1: is that? But that's a but it's a small group 724 00:43:00,520 --> 00:43:01,799 Speaker 1: because I think for the most part, you look at 725 00:43:01,800 --> 00:43:05,960 Speaker 1: the numbers of the country's voting for him, that's that's 726 00:43:05,960 --> 00:43:08,480 Speaker 1: just nailed on. But it's like interesting to see the 727 00:43:08,560 --> 00:43:12,399 Speaker 1: movement and these other pieces that aren't quite nailed down. 728 00:43:13,280 --> 00:43:19,440 Speaker 1: M yeah, voting definitely for Trump or for Biden, you know, 729 00:43:19,920 --> 00:43:22,520 Speaker 1: Trump trump Trump. Yeah. Just based on like that, his 730 00:43:22,600 --> 00:43:25,680 Speaker 1: approval just seems to always hover there. I'm like, Okay, 731 00:43:25,680 --> 00:43:28,120 Speaker 1: those are the dedicated, the people who are dedicated to 732 00:43:28,120 --> 00:43:30,839 Speaker 1: the white supremacy death cult, who are willing to just 733 00:43:30,880 --> 00:43:35,200 Speaker 1: do whatever. It takes so many people, it's too many people. 734 00:43:35,239 --> 00:43:39,040 Speaker 1: I would say, I would agree with that. Well, they 735 00:43:39,080 --> 00:43:42,759 Speaker 1: saw the absolute nightmare scenario, which was a black man 736 00:43:42,880 --> 00:43:46,240 Speaker 1: become the strong, the most powerful person in the country, 737 00:43:46,280 --> 00:43:49,720 Speaker 1: and that's such an inversion of racial power for some people. 738 00:43:50,200 --> 00:43:54,799 Speaker 1: They needed Trump to fucking just you know, fucking erase that. 739 00:43:55,520 --> 00:43:59,000 Speaker 1: And that's really a degree to which the Obama administered, 740 00:43:59,040 --> 00:44:03,880 Speaker 1: the Obama president and see made America, like i'd say, 741 00:44:04,239 --> 00:44:09,640 Speaker 1: two percent more openly racist is really like, I can't 742 00:44:09,680 --> 00:44:14,840 Speaker 1: be underestimated. Like that was. People were like, well, racism 743 00:44:14,920 --> 00:44:17,840 Speaker 1: is over when he got elected, and then immediately everyone 744 00:44:18,000 --> 00:44:23,840 Speaker 1: was just openly racist. SI related. I very much enjoyed 745 00:44:23,880 --> 00:44:29,319 Speaker 1: the new Michelle Obama documentary on Yeah, it's fun. It's 746 00:44:29,360 --> 00:44:31,200 Speaker 1: like if you've read her book. It's just a summary 747 00:44:31,280 --> 00:44:34,000 Speaker 1: of the book in the book tour. But put me 748 00:44:34,040 --> 00:44:39,440 Speaker 1: in a good mood. I enjoid it. Yeah, I'll fucking 749 00:44:39,520 --> 00:44:42,479 Speaker 1: vote for it for Joe Biden, but I just don't 750 00:44:42,480 --> 00:44:44,799 Speaker 1: want anyone to ask me to feel happy about it. 751 00:44:45,640 --> 00:44:47,920 Speaker 1: I'm not legally required to feel happy about it, and 752 00:44:47,960 --> 00:44:52,640 Speaker 1: I won't, but I don't want you know, yeah, but 753 00:44:52,760 --> 00:44:55,399 Speaker 1: I mean, yeah, there's back to the good old days, 754 00:44:55,560 --> 00:44:57,000 Speaker 1: you know, when you could look at racist in the 755 00:44:57,040 --> 00:44:59,120 Speaker 1: eye and be like, can we agree on this alright? 756 00:44:59,160 --> 00:45:02,160 Speaker 1: By part isn't good way to go? I think, you know, 757 00:45:02,800 --> 00:45:05,319 Speaker 1: it's it's interesting even just to see how how much 758 00:45:05,320 --> 00:45:08,520 Speaker 1: the terror read coverage fluctuates from being talked about to 759 00:45:08,640 --> 00:45:10,719 Speaker 1: not talked about. Two then seeing a lot of Democrats 760 00:45:10,760 --> 00:45:14,920 Speaker 1: fall inline who traditionally I've I thought would be voicing 761 00:45:15,280 --> 00:45:17,319 Speaker 1: an opinion on the side of if there is a 762 00:45:17,320 --> 00:45:20,520 Speaker 1: credible accusation, then we should hear this person out to 763 00:45:20,640 --> 00:45:23,279 Speaker 1: suddenly being like I think Joe Biden was credible, and 764 00:45:23,280 --> 00:45:24,719 Speaker 1: I don't even think that's limited to d n C. 765 00:45:24,880 --> 00:45:27,520 Speaker 1: It's just human natured and like, when the stakes are 766 00:45:27,520 --> 00:45:29,319 Speaker 1: like this, people are willing to be like I'm gonna 767 00:45:29,360 --> 00:45:32,000 Speaker 1: shut my mouth on this thing because I'm just focused 768 00:45:32,040 --> 00:45:34,719 Speaker 1: on this horse race where I just have to make 769 00:45:34,719 --> 00:45:37,640 Speaker 1: sure Blue team wins. It sucks when we we lose 770 00:45:38,080 --> 00:45:42,640 Speaker 1: any kind of like principles are trying to change things substantively, 771 00:45:42,680 --> 00:45:44,319 Speaker 1: because I think to really do that, we have to 772 00:45:44,480 --> 00:45:47,840 Speaker 1: we have to make some really hard decisions. Otherwise, you know, 773 00:45:48,120 --> 00:45:51,600 Speaker 1: things just keep going on. Is there any chance at 774 00:45:51,600 --> 00:45:58,359 Speaker 1: all that someone besides Biden gets the nominations. I mean, 775 00:45:58,920 --> 00:46:02,120 Speaker 1: it's possible, but I haven't heard enough where I like, 776 00:46:02,160 --> 00:46:04,880 Speaker 1: I'm starting to hear like, oh, they're really thinking about 777 00:46:05,120 --> 00:46:07,680 Speaker 1: I don't, Yeah, I don't. I haven't heard any indication 778 00:46:07,760 --> 00:46:09,640 Speaker 1: that anyone high up in the d n C is 779 00:46:09,680 --> 00:46:14,880 Speaker 1: interested in taking these allegations seriously enough to question taking 780 00:46:14,880 --> 00:46:19,440 Speaker 1: their candidate out of the race. Yeah, you know, And 781 00:46:19,560 --> 00:46:22,640 Speaker 1: it's weird and like it's just human nature, right like there, 782 00:46:23,239 --> 00:46:26,839 Speaker 1: this presidency has been so fucked up that now it's 783 00:46:26,880 --> 00:46:31,120 Speaker 1: like just fucking anything, please, Like, Okay, this guy is problematic. 784 00:46:31,200 --> 00:46:33,359 Speaker 1: I just don't care. Like this other guy, in my 785 00:46:33,400 --> 00:46:36,680 Speaker 1: mind is more problematic, and just get this fucking band 786 00:46:36,719 --> 00:46:39,000 Speaker 1: aid off please, like just can we move on? And 787 00:46:39,440 --> 00:46:41,520 Speaker 1: but we're like in part in doing that is like 788 00:46:41,560 --> 00:46:44,239 Speaker 1: we're trying to we're trying to make real changes to 789 00:46:44,280 --> 00:46:46,879 Speaker 1: our society on the way to this point of like 790 00:46:47,200 --> 00:46:50,799 Speaker 1: you know, advocating for people who are oppressed and like 791 00:46:51,000 --> 00:46:54,239 Speaker 1: actually trying to change our ideas and perceptions around rape 792 00:46:54,280 --> 00:46:57,520 Speaker 1: culture and consent culture. And when I mean it's worse 793 00:46:57,560 --> 00:47:04,200 Speaker 1: than problematic, it's at it's no, it's yeah, I guess 794 00:47:04,200 --> 00:47:07,400 Speaker 1: I mean just more in general, like the just zooming 795 00:47:07,400 --> 00:47:09,400 Speaker 1: out in terms of like a binary of what we're 796 00:47:09,400 --> 00:47:12,680 Speaker 1: looking at, like just not this isn't Uh. It's tough 797 00:47:12,680 --> 00:47:14,520 Speaker 1: when we see so many things that are wrong and 798 00:47:14,560 --> 00:47:17,160 Speaker 1: the opportunity to change them and it's not quite the 799 00:47:17,160 --> 00:47:19,360 Speaker 1: way we need. Al Right, guys, let's take a quick 800 00:47:19,360 --> 00:47:33,319 Speaker 1: break and we'll be right back. And we're back, uh 801 00:47:33,360 --> 00:47:36,240 Speaker 1: and real quick. I wanted to talk about this article 802 00:47:36,680 --> 00:47:42,799 Speaker 1: in the Atlantic about like how um pandemics are remembered, 803 00:47:42,840 --> 00:47:45,680 Speaker 1: because that's been something that I've just been curious about, 804 00:47:45,760 --> 00:47:51,040 Speaker 1: is like what will the cultural like pop cultural impact 805 00:47:51,400 --> 00:47:54,319 Speaker 1: of the pandemic be other than a bunch of like 806 00:47:54,480 --> 00:47:57,600 Speaker 1: bad rom coms as we've talked about, like the the 807 00:47:57,719 --> 00:48:02,040 Speaker 1: mumble core rom comma about like getting give Me the 808 00:48:02,120 --> 00:48:07,560 Speaker 1: Doolas Marble Divorce right exactly. But this article looks at 809 00:48:07,800 --> 00:48:13,279 Speaker 1: like some different like the nineteen eighteen epidemic that like 810 00:48:13,400 --> 00:48:17,719 Speaker 1: wiped out I think, uh, seven hundred thousand Americans and 811 00:48:17,960 --> 00:48:23,400 Speaker 1: they think between seventeen million and a hundred million people worldwide. 812 00:48:23,920 --> 00:48:27,479 Speaker 1: It was like right around World War One, And this 813 00:48:27,680 --> 00:48:33,400 Speaker 1: author just points out that like it was completely ignored 814 00:48:33,719 --> 00:48:37,200 Speaker 1: like culturally, like the it was almost like it was 815 00:48:37,280 --> 00:48:40,719 Speaker 1: just blanked out by the war, and like the war 816 00:48:40,840 --> 00:48:43,800 Speaker 1: being kind of a more even though it killed fewer people, 817 00:48:43,880 --> 00:48:46,960 Speaker 1: it was like a an easier thing to write about 818 00:48:47,040 --> 00:48:51,160 Speaker 1: because it was you know, humans killing other humans. The 819 00:48:51,719 --> 00:48:59,560 Speaker 1: writer's Charles C. Man uh very history writer. What was 820 00:48:59,680 --> 00:49:02,440 Speaker 1: what was everyone's familiar? I mean I was barely aware 821 00:49:02,520 --> 00:49:07,040 Speaker 1: of the pandemic before this blooming like so he points out. 822 00:49:08,840 --> 00:49:12,440 Speaker 1: He points out that Hemingway, Faulkner, Fitzgerald, and dos Passos 823 00:49:12,520 --> 00:49:17,120 Speaker 1: all like lived through it and they never once mentioned it, 824 00:49:17,239 --> 00:49:21,040 Speaker 1: like it was it's like this massive thing that happened, 825 00:49:21,200 --> 00:49:25,080 Speaker 1: and then like within twenty years the it was like 826 00:49:25,200 --> 00:49:28,919 Speaker 1: not no longer in history books, like it was taken 827 00:49:28,960 --> 00:49:31,600 Speaker 1: out of the textbooks. And then like in the seventies 828 00:49:31,640 --> 00:49:35,719 Speaker 1: somebody wrote a book that was like, yeah, this happened. 829 00:49:35,840 --> 00:49:38,800 Speaker 1: Do we not want to talk about that? Because this happened, 830 00:49:38,840 --> 00:49:43,440 Speaker 1: like in the next time it happens. Yeah, Because I 831 00:49:43,480 --> 00:49:45,440 Speaker 1: think the one thing that I took away just from 832 00:49:45,440 --> 00:49:49,480 Speaker 1: like reading about, you know, the firsthand accounts of people 833 00:49:49,480 --> 00:49:52,080 Speaker 1: then it's like it was just so bleak, like they 834 00:49:52,080 --> 00:49:54,880 Speaker 1: were just tossing like kids wrapped in sheets onto like 835 00:49:54,920 --> 00:49:57,719 Speaker 1: a wagon that would come down the street and like 836 00:49:57,719 --> 00:50:00,600 Speaker 1: like you know, fucking Life of Brian, bring out your 837 00:50:00,640 --> 00:50:04,480 Speaker 1: dead type ship and it I wonder if that's just 838 00:50:04,600 --> 00:50:07,839 Speaker 1: it's so traumatic. It's like, dude, we know, like we 839 00:50:07,880 --> 00:50:12,279 Speaker 1: saw people young and old die and it's just like 840 00:50:13,360 --> 00:50:15,719 Speaker 1: maybe let's just go to nice nice like maybe because 841 00:50:15,760 --> 00:50:17,319 Speaker 1: maybe it was one of those things like a too soon, 842 00:50:17,520 --> 00:50:20,200 Speaker 1: too soon. That's what I was thinking too, Like they 843 00:50:20,200 --> 00:50:23,160 Speaker 1: thought the war was finally winding down and then this 844 00:50:23,239 --> 00:50:25,319 Speaker 1: happens and they're like, you know what, fuck it, I'm 845 00:50:25,320 --> 00:50:28,440 Speaker 1: gonna go get drunk. And that's what the Flappers were 846 00:50:28,440 --> 00:50:30,879 Speaker 1: all about. They were they were wanted to party because 847 00:50:30,880 --> 00:50:34,000 Speaker 1: they might die at any point, right. I just want 848 00:50:34,040 --> 00:50:36,319 Speaker 1: to read this account from like an old person, like 849 00:50:36,600 --> 00:50:40,440 Speaker 1: an old who has interviewed, like in nineties six about 850 00:50:40,480 --> 00:50:44,399 Speaker 1: them growing up during the Spanish flu epidemic. Quote. They 851 00:50:44,400 --> 00:50:46,960 Speaker 1: were dying, many families losing one or more in their family. 852 00:50:47,000 --> 00:50:48,719 Speaker 1: It was getting so bad. The desk they even they 853 00:50:48,719 --> 00:50:50,800 Speaker 1: had to use wagons drawn by two horses to carry 854 00:50:50,800 --> 00:50:52,960 Speaker 1: to the grave. I remember seeing them past the house. 855 00:50:53,000 --> 00:50:55,359 Speaker 1: Seems like to me now is every day at that time, 856 00:50:55,360 --> 00:50:57,160 Speaker 1: when the phone would ring, when my mother and my 857 00:50:57,200 --> 00:50:59,239 Speaker 1: father would listen in and they would turn to us, 858 00:50:59,280 --> 00:51:01,640 Speaker 1: they would name the person they just heard had died. 859 00:51:01,960 --> 00:51:04,200 Speaker 1: It was night and day and you would hear about 860 00:51:04,200 --> 00:51:06,400 Speaker 1: these people dying. My father never got the flu, but 861 00:51:06,440 --> 00:51:08,440 Speaker 1: he would go to town by groceries for neighbors and 862 00:51:08,480 --> 00:51:10,480 Speaker 1: take to their front porch. And we didn't get the 863 00:51:10,480 --> 00:51:12,840 Speaker 1: flu at all in our family, but it was terrible. 864 00:51:13,200 --> 00:51:16,120 Speaker 1: So I think I can't imagine. Yeah, like I think 865 00:51:16,120 --> 00:51:21,200 Speaker 1: just everyone just sort of like just shuddering still. But 866 00:51:19,680 --> 00:51:24,120 Speaker 1: I but I mean, I do wonder, like because people 867 00:51:24,160 --> 00:51:27,520 Speaker 1: were shuddered, right, like everybody was kind of doing the 868 00:51:27,600 --> 00:51:30,279 Speaker 1: same thing we were doing, just without streaming media. So 869 00:51:30,320 --> 00:51:33,600 Speaker 1: I wonder if like that the fact that we're just like, okay, 870 00:51:33,760 --> 00:51:38,000 Speaker 1: we are actively burning time, like that is what our 871 00:51:38,040 --> 00:51:41,879 Speaker 1: activity is right now, We're just getting through this, Like 872 00:51:42,040 --> 00:51:45,880 Speaker 1: if that then becomes just this gap in our like 873 00:51:46,000 --> 00:51:51,919 Speaker 1: imagination and like cultural understanding. And I was gonna say 874 00:51:51,920 --> 00:51:56,480 Speaker 1: that this article also points out like that we like 875 00:51:56,560 --> 00:52:02,360 Speaker 1: America as a nation is founded on like the bones 876 00:52:02,560 --> 00:52:05,880 Speaker 1: of the biggest plague in the history of the world 877 00:52:05,920 --> 00:52:10,960 Speaker 1: with that killed a hundred million Native Americans up to uh, 878 00:52:11,000 --> 00:52:13,920 Speaker 1: you know, there's disagreement on the numbers, but it was 879 00:52:14,600 --> 00:52:18,399 Speaker 1: you know, it was just a nation that existed and 880 00:52:18,960 --> 00:52:22,680 Speaker 1: was like fully functioning and then everybody died of plague 881 00:52:22,880 --> 00:52:26,440 Speaker 1: and the European settlers just moved in and we're like, man, 882 00:52:26,600 --> 00:52:31,000 Speaker 1: this is easy. This is this whole land is completely settled. 883 00:52:31,800 --> 00:52:34,239 Speaker 1: That's what's freaky too with like what's happening in South 884 00:52:34,320 --> 00:52:37,040 Speaker 1: Dakota because a lot of tribes are setting up checkpoints 885 00:52:37,080 --> 00:52:39,920 Speaker 1: because they don't want people bringing COVID onto the reservation 886 00:52:40,080 --> 00:52:44,000 Speaker 1: because again they look at uh, that population is already 887 00:52:44,000 --> 00:52:48,399 Speaker 1: being horribly disproportionately affected by COVID and they are they 888 00:52:48,400 --> 00:52:51,000 Speaker 1: are reliving this in real time now where they're saying, 889 00:52:51,200 --> 00:52:54,399 Speaker 1: hold on, we have to fucking really protect ourselves now 890 00:52:54,440 --> 00:52:56,920 Speaker 1: because this ship is coming back now and we're setting 891 00:52:57,200 --> 00:53:00,279 Speaker 1: So them setting up checkpoints, is that the governor a 892 00:53:00,320 --> 00:53:03,600 Speaker 1: gnome of South Carolina be like, I'm gonna sue just 893 00:53:03,640 --> 00:53:07,440 Speaker 1: to to challenge these checkpoints, despite many people saying the 894 00:53:07,440 --> 00:53:10,160 Speaker 1: settled laws like this is their sovereign land, that they 895 00:53:10,160 --> 00:53:12,720 Speaker 1: are well within their rights to have these checkpoints because 896 00:53:12,760 --> 00:53:15,360 Speaker 1: that that was the ship deal the Bureau of Indian 897 00:53:15,360 --> 00:53:18,080 Speaker 1: Affairs gave people back in the day and even now 898 00:53:18,080 --> 00:53:19,960 Speaker 1: you're not going to even honor the sovereignty of their 899 00:53:20,040 --> 00:53:22,839 Speaker 1: land when there's not even the help, like the consideration 900 00:53:22,920 --> 00:53:26,799 Speaker 1: to the decimation of their people. It's fucking bullshit. But 901 00:53:26,920 --> 00:53:29,640 Speaker 1: it's it's weird to even see this now, like dimensions 902 00:53:29,680 --> 00:53:33,640 Speaker 1: of this, it's playing out like these we're seeing like 903 00:53:33,680 --> 00:53:35,960 Speaker 1: these little moments of history come back in these very 904 00:53:36,080 --> 00:53:39,120 Speaker 1: vivid ways in it. There's a lot of a lot 905 00:53:39,160 --> 00:53:42,600 Speaker 1: of fucking you know, trauma and fear built into something 906 00:53:42,640 --> 00:53:45,600 Speaker 1: like that. I also want to say that Mr Man, 907 00:53:45,640 --> 00:53:48,560 Speaker 1: in terms of the literature he cites, he's only citing 908 00:53:48,640 --> 00:53:52,040 Speaker 1: like the top five basically in terms of like the 909 00:53:52,080 --> 00:53:55,200 Speaker 1: most famous authors of that time, and they're all men. 910 00:53:55,280 --> 00:53:57,920 Speaker 1: And I wondered if we look deeper into literature, like 911 00:53:58,200 --> 00:54:02,440 Speaker 1: beyond the bestsellers maybe or books written by women. Who knows, 912 00:54:02,520 --> 00:54:04,880 Speaker 1: maybe there is more about this in literature. It's just 913 00:54:04,960 --> 00:54:08,160 Speaker 1: not what we're given to read in high school because 914 00:54:08,160 --> 00:54:10,600 Speaker 1: those are all like high school curriculum writers. That is 915 00:54:10,640 --> 00:54:13,520 Speaker 1: kind of funny. Yeah, if it was like a hundred 916 00:54:13,600 --> 00:54:16,000 Speaker 1: years from now, they're like, well, Chris d'liah never told 917 00:54:16,000 --> 00:54:19,400 Speaker 1: a joke about COVID, So I really don't know if 918 00:54:19,440 --> 00:54:22,680 Speaker 1: it was a part of the conversation at all. I 919 00:54:22,760 --> 00:54:25,200 Speaker 1: believe that your A K s during this time will 920 00:54:25,239 --> 00:54:29,520 Speaker 1: be what is like recognized history. That's what songs of 921 00:54:29,640 --> 00:54:32,440 Speaker 1: the Songs of Little Zam serenaded the people through the 922 00:54:32,520 --> 00:54:37,040 Speaker 1: dark time. Um, but we have to move on to 923 00:54:37,200 --> 00:54:40,520 Speaker 1: some important news because Miles, you've had a had a 924 00:54:40,560 --> 00:54:46,480 Speaker 1: spiritual shift on your relationship to uh Guy Fiery. Yeah, 925 00:54:46,520 --> 00:54:49,960 Speaker 1: I mean Guy Fiery. The Fear as Sons as I 926 00:54:50,040 --> 00:54:54,200 Speaker 1: call it, has opened my eyes to some prejudices that 927 00:54:54,320 --> 00:54:57,879 Speaker 1: I was holding against this man. Um. You know, like 928 00:54:58,040 --> 00:55:00,840 Speaker 1: the last I feel like eighteen months, I feel like 929 00:55:00,840 --> 00:55:04,000 Speaker 1: the Fiery Songs has been like in full effect where 930 00:55:04,440 --> 00:55:07,799 Speaker 1: every story that comes out is like what Guy Fear 931 00:55:07,840 --> 00:55:10,560 Speaker 1: is on a douche bag. I truly think that Shane 932 00:55:10,640 --> 00:55:16,080 Speaker 1: tourists shout out Shane like started the national waking up, 933 00:55:16,360 --> 00:55:19,640 Speaker 1: the global waking up to the fact that Guy Fearing 934 00:55:19,840 --> 00:55:23,160 Speaker 1: never did anything to hurt us. Yeah, and like I'm like, wait, 935 00:55:23,200 --> 00:55:25,400 Speaker 1: hold on, this dude is like got like he's like 936 00:55:25,440 --> 00:55:28,520 Speaker 1: a good dad and husband. I'm like what, I'm like, 937 00:55:28,600 --> 00:55:31,799 Speaker 1: what he officiated a mass same sex marriage for over 938 00:55:31,840 --> 00:55:34,080 Speaker 1: a hundred and one same sex couples in honor of 939 00:55:34,160 --> 00:55:39,080 Speaker 1: his sister who is lesbian that passed away. I'm like, so, 940 00:55:39,520 --> 00:55:42,400 Speaker 1: I'm like, okay. And then the reason I bring this 941 00:55:42,520 --> 00:55:44,879 Speaker 1: up now is that, like we found out that there 942 00:55:44,960 --> 00:55:48,960 Speaker 1: was this National Restaurant Association Education Foundation fund that was 943 00:55:49,000 --> 00:55:52,399 Speaker 1: being set up for restaurant employee relief because the food 944 00:55:52,440 --> 00:55:56,480 Speaker 1: industry has been just absolutely fucked by this whole shutdown. 945 00:55:56,600 --> 00:56:00,520 Speaker 1: It's like it's horrific um to the point where most 946 00:56:00,600 --> 00:56:02,799 Speaker 1: rushing like I don't know what to do. I don't 947 00:56:02,840 --> 00:56:05,920 Speaker 1: know how we reopened. I guess we'll just like just 948 00:56:05,960 --> 00:56:07,719 Speaker 1: go to the wheels come off at this point and 949 00:56:07,760 --> 00:56:10,319 Speaker 1: then we'll go from there. But this fund was meant to, 950 00:56:10,520 --> 00:56:13,399 Speaker 1: you know, help employees receive like a one time five 951 00:56:13,800 --> 00:56:16,560 Speaker 1: dollar check when you apply to use for whatever you need, 952 00:56:16,600 --> 00:56:19,800 Speaker 1: your bills, your rent or whatever. Turns out, guy Fiery 953 00:56:19,960 --> 00:56:23,319 Speaker 1: was on his grizzy because he was started banging those 954 00:56:23,320 --> 00:56:26,560 Speaker 1: phones and reaching out to like corporate donors he knew 955 00:56:26,760 --> 00:56:30,080 Speaker 1: he this dude raised over twenty million dollars for this fund, 956 00:56:30,200 --> 00:56:32,400 Speaker 1: like in a matter of a couple of weeks for it, 957 00:56:32,560 --> 00:56:34,439 Speaker 1: and that means that's like when they break that down, 958 00:56:34,440 --> 00:56:38,200 Speaker 1: that's like forty people who can get this grant because 959 00:56:38,200 --> 00:56:41,840 Speaker 1: of him, And I'm like, yes, I I abandoned like 960 00:56:41,880 --> 00:56:44,000 Speaker 1: Guy Fiery sucks maybe a year ago. But I'm like, 961 00:56:45,080 --> 00:56:46,719 Speaker 1: but now, like with this one, I've I've had to 962 00:56:46,719 --> 00:56:51,160 Speaker 1: take another moment is to just examine what my fiery 963 00:56:51,239 --> 00:56:54,160 Speaker 1: hate was? Was it that? Like it's funny because I'm 964 00:56:54,160 --> 00:56:56,840 Speaker 1: a huge Triple D fan. I love that show. I 965 00:56:56,880 --> 00:57:00,000 Speaker 1: think it's great. I love food. There's not never businesses 966 00:57:00,080 --> 00:57:03,600 Speaker 1: is yeah and creates exactly like the amount of business 967 00:57:03,600 --> 00:57:06,400 Speaker 1: it's created for these small these small restaurants is fantastic. 968 00:57:06,480 --> 00:57:08,839 Speaker 1: Like there's apps even dedicated to be like, am I 969 00:57:08,880 --> 00:57:12,279 Speaker 1: near a thing? Guy Fier, he's been to um and 970 00:57:12,360 --> 00:57:14,400 Speaker 1: now when you but then I'm just sort of like, 971 00:57:14,440 --> 00:57:16,040 Speaker 1: what the funk is it? I'm like, was it it 972 00:57:16,080 --> 00:57:17,960 Speaker 1: was easy to talk ship because he just looked like 973 00:57:18,000 --> 00:57:20,680 Speaker 1: a dude was spiked tips and ship and I was 974 00:57:20,720 --> 00:57:23,520 Speaker 1: just like a funk, that funk is weird, flame button ups. 975 00:57:23,960 --> 00:57:26,400 Speaker 1: I was like, I had to take a moment and 976 00:57:26,480 --> 00:57:29,720 Speaker 1: just say, like it was Guy Fiery merely there for 977 00:57:29,760 --> 00:57:33,280 Speaker 1: me to feel cool comparatively and and not only now 978 00:57:33,440 --> 00:57:35,640 Speaker 1: my waking up to my own shallowness as to what 979 00:57:35,800 --> 00:57:41,440 Speaker 1: my relationship with guy Fiery actually is I don't know. Yeah, 980 00:57:41,800 --> 00:57:45,600 Speaker 1: that was beautiful, though this process was like it was 981 00:57:45,640 --> 00:57:47,760 Speaker 1: just weird. I'm like, why the fund do I like? Honestly, 982 00:57:47,840 --> 00:57:51,640 Speaker 1: like I like everything he does, aside from me being like, okay, 983 00:57:51,640 --> 00:57:55,760 Speaker 1: I wouldn't dress like that. There. Yeah, there's something to 984 00:57:55,800 --> 00:57:58,400 Speaker 1: be said for like it's easy to hate someone doing 985 00:57:58,480 --> 00:58:02,640 Speaker 1: something very goofy, very confidently. I think that it's it's 986 00:58:02,760 --> 00:58:06,360 Speaker 1: very easy to pile on and then yeah, and but 987 00:58:06,400 --> 00:58:08,080 Speaker 1: it's like if you look at like, well, what is 988 00:58:08,120 --> 00:58:12,120 Speaker 1: that person actually doing? Like what are they doing there 989 00:58:12,160 --> 00:58:15,560 Speaker 1: promoting a local business while looking goofy and being confident, 990 00:58:15,800 --> 00:58:17,520 Speaker 1: then it's just I feel like it's almost one of 991 00:58:17,560 --> 00:58:20,920 Speaker 1: those like I don't know, like you're you're sort of 992 00:58:22,040 --> 00:58:24,520 Speaker 1: cringing on their behalf because they're not going to cringe 993 00:58:24,560 --> 00:58:29,440 Speaker 1: for themselves. But he's fining himself. He seems to like himself, 994 00:58:29,560 --> 00:58:34,480 Speaker 1: and I think that's no exactly like insecure people don't 995 00:58:34,560 --> 00:58:37,360 Speaker 1: like to see secure people do their ship because deep 996 00:58:37,360 --> 00:58:40,120 Speaker 1: down you're like, why do you have that confidence to 997 00:58:40,160 --> 00:58:44,720 Speaker 1: look like that? But really I'm like it's necessarily like 998 00:58:44,760 --> 00:58:47,640 Speaker 1: I think I'm speaking for myself. I'm speaking for himself. 999 00:58:47,720 --> 00:58:50,840 Speaker 1: I'm dismansing my own insecurities visa visa my relationship with 1000 00:58:50,880 --> 00:58:55,280 Speaker 1: Guy Fieri. I think the way he entered the kind 1001 00:58:55,280 --> 00:59:01,120 Speaker 1: of collective consciousness is as like it's like if Larry 1002 00:59:01,160 --> 00:59:04,760 Speaker 1: the Cable Guy was a Mad TV character, Guy Fiery 1003 00:59:04,960 --> 00:59:07,760 Speaker 1: was played by the was just a different character played 1004 00:59:07,800 --> 00:59:11,560 Speaker 1: by that same like Mad TV performer. I feel like 1005 00:59:11,720 --> 00:59:16,400 Speaker 1: they were like it was just that same like vibe. 1006 00:59:16,520 --> 00:59:18,880 Speaker 1: So I yeah, I just feel like he got a 1007 00:59:18,880 --> 00:59:24,720 Speaker 1: bad break from like how he came packaged to two people. 1008 00:59:25,040 --> 00:59:27,480 Speaker 1: But yeah, I mean I agree, like judging people by 1009 00:59:27,520 --> 00:59:35,680 Speaker 1: their by their hair is probably not fair. Um probably well. Also, 1010 00:59:35,680 --> 00:59:37,200 Speaker 1: I think also I had a kind of chip on 1011 00:59:37,200 --> 00:59:39,600 Speaker 1: my shoulder because I didn't like the name text was Sabis. 1012 00:59:39,960 --> 00:59:42,760 Speaker 1: I was like, fuck that, you don't know shit about anything, bro, 1013 00:59:42,920 --> 00:59:46,520 Speaker 1: just keeping moving with the fun restaurants. And then and 1014 00:59:46,520 --> 00:59:49,400 Speaker 1: then there's that New York Times review of his restaurant 1015 00:59:49,400 --> 00:59:51,760 Speaker 1: in Times Square, and I was like, oh, this guy sucks. 1016 00:59:51,800 --> 00:59:54,920 Speaker 1: But it was like from this snarky perspective of like 1017 00:59:55,400 --> 00:59:57,360 Speaker 1: food writers who just want to take a dump on him, 1018 00:59:57,400 --> 01:00:00,280 Speaker 1: like yeah, the food sucks or whatever. But like I mind. 1019 01:00:00,320 --> 01:00:03,439 Speaker 1: Now I'm like So I actually have a different take 1020 01:00:03,520 --> 01:00:07,600 Speaker 1: on that article because that review of Guy Fiery's restaurant 1021 01:00:07,680 --> 01:00:09,680 Speaker 1: in New York Times is very famous. I thought it 1022 01:00:09,720 --> 01:00:11,760 Speaker 1: was very funny, like it was written in a very 1023 01:00:11,800 --> 01:00:15,360 Speaker 1: funny manne. But I think people misunderstand what the writer 1024 01:00:15,480 --> 01:00:17,920 Speaker 1: was trying to do because they were saying that the 1025 01:00:17,960 --> 01:00:20,960 Speaker 1: writer was being a snob for caring that the food 1026 01:00:21,080 --> 01:00:24,680 Speaker 1: wasn't good at that restaurant. But I think what the 1027 01:00:24,680 --> 01:00:28,000 Speaker 1: writer was saying was like, people are going to come 1028 01:00:28,200 --> 01:00:29,720 Speaker 1: on a special trip to New York and they're going 1029 01:00:29,760 --> 01:00:33,040 Speaker 1: to go on a special trip dinner to this restaurant 1030 01:00:33,080 --> 01:00:34,919 Speaker 1: and the food is not good and you're charging forty 1031 01:00:35,480 --> 01:00:38,200 Speaker 1: entree and you shouldn't do that. And I think that 1032 01:00:38,400 --> 01:00:41,080 Speaker 1: was like a different point. But every but the way 1033 01:00:41,080 --> 01:00:44,400 Speaker 1: there were Yeah, I think there were some descriptions of 1034 01:00:44,400 --> 01:00:47,680 Speaker 1: the food though that I was like, oh, okay, I mean, look, 1035 01:00:47,760 --> 01:00:51,560 Speaker 1: I enjoyed the I mean there's no doubt, don't get 1036 01:00:51,560 --> 01:00:54,160 Speaker 1: me wrong, But I'm just you know, again, all this 1037 01:00:54,280 --> 01:00:58,840 Speaker 1: to say, I'm I'm doing all this introspection now to 1038 01:00:58,840 --> 01:01:00,320 Speaker 1: to you know, this is what I'm this the work 1039 01:01:00,360 --> 01:01:02,200 Speaker 1: I'm doing in choir. If I come out of here 1040 01:01:02,240 --> 01:01:04,200 Speaker 1: loving Guy Fiery. Then I feel like I've done apart, 1041 01:01:04,280 --> 01:01:06,520 Speaker 1: You've grown good person. Did you know that he also 1042 01:01:06,600 --> 01:01:11,320 Speaker 1: fed firefighters and people who lost their house. He's just 1043 01:01:11,400 --> 01:01:14,400 Speaker 1: a fucking That's what I'm saying. Like it's weird. How 1044 01:01:15,240 --> 01:01:18,200 Speaker 1: did we just sort of reach this like threshold where 1045 01:01:18,320 --> 01:01:20,920 Speaker 1: it was no longer I don't know. I think societally 1046 01:01:20,960 --> 01:01:23,600 Speaker 1: we all just begin to be like, yeah, we're not whatever. 1047 01:01:23,640 --> 01:01:26,640 Speaker 1: It's Guy Fieri, Like maybe we've all grown I don't know. 1048 01:01:27,240 --> 01:01:29,320 Speaker 1: I will say also that I went to a very 1049 01:01:29,400 --> 01:01:32,160 Speaker 1: fancy food event in Las Vegas at Caesar's Palace in 1050 01:01:32,200 --> 01:01:35,640 Speaker 1: the pool area, and there's like multiple pools there, and 1051 01:01:35,680 --> 01:01:37,600 Speaker 1: at all the pools it was a bunch of dressed 1052 01:01:37,640 --> 01:01:40,320 Speaker 1: up people like quietly drinking cocktails. But then when you 1053 01:01:40,320 --> 01:01:43,400 Speaker 1: went to Guy Fieri's pool area, that was a party. 1054 01:01:43,520 --> 01:01:45,920 Speaker 1: They had like a Guns and Roses cover band and 1055 01:01:45,960 --> 01:01:48,360 Speaker 1: like airbrush artists doing work and people were in the 1056 01:01:48,400 --> 01:01:55,320 Speaker 1: pool like it wasn't much fun. Scene about Daniel food 1057 01:01:55,440 --> 01:02:00,680 Speaker 1: is like scoffing from his side exactly at it. I 1058 01:02:00,720 --> 01:02:03,640 Speaker 1: grew up in a very pro Fieri family where it 1059 01:02:04,040 --> 01:02:06,000 Speaker 1: was t g I fried as that carried his deal 1060 01:02:06,040 --> 01:02:09,440 Speaker 1: because I remember we like, my mom was very enthusiastic 1061 01:02:09,480 --> 01:02:12,600 Speaker 1: about Fieri's output and so, and she also, I'm kind 1062 01:02:12,600 --> 01:02:15,200 Speaker 1: of every time I hear his name, I'm wondering where 1063 01:02:15,240 --> 01:02:17,440 Speaker 1: she picked this up. But she had this thing where 1064 01:02:17,480 --> 01:02:20,240 Speaker 1: she would be like, it's not Fiery, it's Fiertti. You 1065 01:02:20,320 --> 01:02:24,520 Speaker 1: have to pronounce that the Italian way. She's very into him, 1066 01:02:24,640 --> 01:02:26,600 Speaker 1: And so we went we went to like t g 1067 01:02:26,720 --> 01:02:28,040 Speaker 1: I fried As, and my mom was like, I would 1068 01:02:28,040 --> 01:02:36,040 Speaker 1: like guy Fiertti's mozzarellistics, like he's fun. He's like he's 1069 01:02:36,120 --> 01:02:39,600 Speaker 1: fun and and the best part is that guy Fiery, 1070 01:02:40,000 --> 01:02:44,320 Speaker 1: Fiery Fiertti, depending on the pronunciation you preferred his name, 1071 01:02:44,560 --> 01:02:47,960 Speaker 1: doesn't give a fuck what we think of him. And 1072 01:02:48,000 --> 01:02:51,720 Speaker 1: that is part of why he is himself. He doesn't 1073 01:02:51,760 --> 01:02:55,800 Speaker 1: he someone who like you. Just if you're Guy Fieri, 1074 01:02:55,960 --> 01:02:57,920 Speaker 1: you can't give a funk what people think of you, 1075 01:02:58,360 --> 01:03:01,720 Speaker 1: or you can't be yourself in that way. I think 1076 01:03:01,760 --> 01:03:05,400 Speaker 1: also understanding of what Diners, Drive Ins and Dives was doing, 1077 01:03:05,400 --> 01:03:07,040 Speaker 1: because I know when it started. I think I was 1078 01:03:07,080 --> 01:03:09,320 Speaker 1: in my early twenties and I was like, why does 1079 01:03:09,360 --> 01:03:14,040 Speaker 1: he like everything? How can you be this enthusiastic about food? Yeah? 1080 01:03:14,240 --> 01:03:17,880 Speaker 1: But now, but like I'm smarter and also smarter people 1081 01:03:17,880 --> 01:03:20,080 Speaker 1: than we have explained it to me. It was totally 1082 01:03:20,200 --> 01:03:23,360 Speaker 1: just to keep these businesses going, That's what it was. Yeah, 1083 01:03:23,440 --> 01:03:25,680 Speaker 1: I mean, if you if you go to John taffa 1084 01:03:25,760 --> 01:03:29,960 Speaker 1: route where you travel the country verbally abusing small business owners, 1085 01:03:30,360 --> 01:03:35,080 Speaker 1: that's like it's just it's it's just as fun to watch. 1086 01:03:35,320 --> 01:03:39,000 Speaker 1: But you're like, this is a less noble endeavor. I mean, 1087 01:03:39,600 --> 01:03:43,520 Speaker 1: I hope this is what what that article by a 1088 01:03:44,280 --> 01:03:48,400 Speaker 1: man was talking about. How like another way that pandemics 1089 01:03:48,440 --> 01:03:52,600 Speaker 1: influence culture is by uh you know that there was 1090 01:03:52,640 --> 01:03:56,640 Speaker 1: like a peasant revolt after the after the Black Plague. 1091 01:03:56,680 --> 01:04:00,080 Speaker 1: And I'm hoping that we see and maybe this is 1092 01:04:00,160 --> 01:04:05,000 Speaker 1: like emerging class solidarity where like we used to identify, 1093 01:04:05,160 --> 01:04:07,160 Speaker 1: like we used to be stratified by like well, I'm 1094 01:04:07,200 --> 01:04:09,840 Speaker 1: a New York Times reader and looking down on like 1095 01:04:09,920 --> 01:04:14,120 Speaker 1: Guy Fietti. And now it's more like we are guys, 1096 01:04:15,040 --> 01:04:17,960 Speaker 1: we are We're all Guy Fieti doing a new thing. 1097 01:04:18,120 --> 01:04:25,000 Speaker 1: Instead a Guy Fox masks, Guy Fietti masks, yeah, my god. 1098 01:04:25,520 --> 01:04:35,880 Speaker 1: That's they're like the fs are here, the Macconnaissance. He 1099 01:04:36,400 --> 01:04:40,560 Speaker 1: just like got a Lincoln sponsorship, whereas Guy Fierti's doing 1100 01:04:40,720 --> 01:04:47,320 Speaker 1: doing raising twenty million dollars. Uh, Catherine, it's been so 1101 01:04:47,400 --> 01:04:51,560 Speaker 1: fun having you as Oh where can people find you 1102 01:04:51,720 --> 01:04:56,000 Speaker 1: and follow you? Um? Let's see. My podcast is called 1103 01:04:56,160 --> 01:05:00,400 Speaker 1: smart Mouth. It's a food history podcast. It's um words 1104 01:05:00,400 --> 01:05:03,520 Speaker 1: smart mouth. UM. And I'm on Twitter at Katherine Spires 1105 01:05:03,640 --> 01:05:07,600 Speaker 1: and on Instagram at smart Mouth podcast. Yeah yeah. And 1106 01:05:07,800 --> 01:05:10,320 Speaker 1: is there a tweet or some other work of social 1107 01:05:10,320 --> 01:05:14,240 Speaker 1: media you've been enjoying. Um, there was just one tweet 1108 01:05:14,280 --> 01:05:17,600 Speaker 1: that made me incredibly happy was someone named Drew Gregory. 1109 01:05:17,680 --> 01:05:22,640 Speaker 1: Their handle is draw Underscore Gregory and they wrote something 1110 01:05:22,680 --> 01:05:24,720 Speaker 1: I don't talk about a lot, is that my grandma 1111 01:05:24,800 --> 01:05:34,040 Speaker 1: cheated on my grandpa with Don Knots. Oh yeah, wow, Wow, Wow, 1112 01:05:36,160 --> 01:05:44,600 Speaker 1: that's a flow that's incredible. I liked it so much 1113 01:05:44,680 --> 01:05:47,240 Speaker 1: for so many reasons. That really made me happy, you know, 1114 01:05:47,480 --> 01:05:49,760 Speaker 1: weird thought because I just have to speak whatever my 1115 01:05:49,800 --> 01:05:52,200 Speaker 1: active brain is thinking. That I first learned figured out 1116 01:05:52,240 --> 01:05:55,160 Speaker 1: who Don Knots was was because of the movie Cereal Mom, 1117 01:05:55,440 --> 01:05:57,920 Speaker 1: the John Waters film. There at a swap meet and 1118 01:05:57,960 --> 01:06:01,000 Speaker 1: the guy buys a painting of Don goes it's Don 1119 01:06:01,240 --> 01:06:03,919 Speaker 1: fucking Knots And it's like a throwaway line it walks, 1120 01:06:03,960 --> 01:06:06,720 Speaker 1: so I was like, what the fund was that? Anyway, 1121 01:06:07,440 --> 01:06:09,800 Speaker 1: he's an icon, Jamie, it's been a pleasure having you. 1122 01:06:09,800 --> 01:06:12,840 Speaker 1: Where can people find you and follow you? You can 1123 01:06:12,880 --> 01:06:16,600 Speaker 1: find me on Twitter at Jamie left Us Help, Instagram 1124 01:06:16,640 --> 01:06:21,200 Speaker 1: at Jamie christ Superstar. I think I'm just gonna give 1125 01:06:21,240 --> 01:06:25,760 Speaker 1: a digital shout out to Chas and Buddha Judge's new 1126 01:06:25,840 --> 01:06:29,640 Speaker 1: memoir title. It's the Google it's I don't know what 1127 01:06:29,800 --> 01:06:32,880 Speaker 1: I mean, I don't I don't have a strong opinion 1128 01:06:32,920 --> 01:06:35,760 Speaker 1: on Chas and Buddha Judge, but the name of his 1129 01:06:35,960 --> 01:06:41,320 Speaker 1: memoir is I Have Something to tell You what. It 1130 01:06:41,480 --> 01:06:43,840 Speaker 1: made me laugh a lot. It's I think, what a 1131 01:06:43,920 --> 01:06:47,560 Speaker 1: direct name for a book where you're inevitably going to 1132 01:06:47,600 --> 01:06:50,760 Speaker 1: tell someone something and he looks so happy on the 1133 01:06:50,760 --> 01:06:53,720 Speaker 1: time there my friend, I'll shut my friend. George severes 1134 01:06:53,800 --> 01:06:58,280 Speaker 1: at George severes Uh tweeted the covers that me texting 1135 01:06:58,320 --> 01:07:04,480 Speaker 1: everyone that this is the new the Secret Chass and 1136 01:07:04,760 --> 01:07:08,000 Speaker 1: smiling and it says I have something to tell you, chess, 1137 01:07:09,600 --> 01:07:12,560 Speaker 1: like you're living in a white supremacist corporatocracy. Okay, and 1138 01:07:13,000 --> 01:07:15,360 Speaker 1: oh do you think the Buddha Judge camp would ever 1139 01:07:15,400 --> 01:07:20,480 Speaker 1: admit that. Never mind, I'm hoping for a messy tea 1140 01:07:20,560 --> 01:07:25,480 Speaker 1: report on Pete. I'm like, Dragon, I know, we'll we'll see, 1141 01:07:25,760 --> 01:07:28,280 Speaker 1: we'll see. But right now, all we know is that 1142 01:07:28,440 --> 01:07:30,560 Speaker 1: chas And has something to tell us, and we won't 1143 01:07:30,560 --> 01:07:37,360 Speaker 1: know what it is. There is a subtitle, even a memoir. Ah. 1144 01:07:37,640 --> 01:07:41,240 Speaker 1: I thought that I would give us some inkling like something. 1145 01:07:41,880 --> 01:07:45,919 Speaker 1: You how I got real and got happy there. Yeah, 1146 01:07:45,960 --> 01:07:48,280 Speaker 1: I was like, my theory is what he has to 1147 01:07:48,320 --> 01:07:50,840 Speaker 1: tell us is probably not much, but but he has 1148 01:07:50,880 --> 01:07:53,440 Speaker 1: something to tell us, and he doesn't even promise that 1149 01:07:53,480 --> 01:07:59,120 Speaker 1: it's juicy, it's just something. Yeah. My my assumption would 1150 01:07:59,120 --> 01:08:02,760 Speaker 1: be that he writing that book right now frantically because 1151 01:08:02,760 --> 01:08:11,080 Speaker 1: he has no ideas. Just know that it's something. We'll 1152 01:08:11,160 --> 01:08:16,640 Speaker 1: we'll get more specific later. People. Where can people find you? 1153 01:08:16,720 --> 01:08:20,960 Speaker 1: Miles find me, Follow me, Twitter, Instagram, PlayStation Network, Miles 1154 01:08:21,000 --> 01:08:24,080 Speaker 1: of Gray. Also on twitch dot tv. I've do a 1155 01:08:24,080 --> 01:08:27,000 Speaker 1: little stream over the weekend, starting to starting to twitch 1156 01:08:27,000 --> 01:08:30,160 Speaker 1: it up. You know, I'm lonely out here. Also my 1157 01:08:30,200 --> 01:08:32,439 Speaker 1: other show for it Tony D Fiance talking about ninety 1158 01:08:32,479 --> 01:08:35,400 Speaker 1: D Fiance with Sophia Alexander. Also, I was on Catherine's 1159 01:08:35,560 --> 01:08:40,040 Speaker 1: podcast Smart mouth. We talked about fungal uh, one of 1160 01:08:40,080 --> 01:08:42,439 Speaker 1: my favorite dishes, and she put me onto Wow. We 1161 01:08:42,479 --> 01:08:44,840 Speaker 1: put each other onto so much knowledge. It was a 1162 01:08:44,920 --> 01:08:48,360 Speaker 1: pure knowledge trust. Um. I would love to come back 1163 01:08:48,400 --> 01:08:51,479 Speaker 1: if you'll have me. Um. Let's see some tweets that 1164 01:08:51,520 --> 01:08:55,360 Speaker 1: I like. First one is from a Zara raheem at 1165 01:08:55,439 --> 01:08:58,320 Speaker 1: zar Raheem. It's a quote tweet of a complex tweet 1166 01:08:58,320 --> 01:09:01,839 Speaker 1: that says, Billy I wish Billy I wish Billie Eilish 1167 01:09:01,960 --> 01:09:05,920 Speaker 1: quote wrote a whole song in its entirety end quote 1168 01:09:06,000 --> 01:09:10,120 Speaker 1: during quarantine. Zara quote says Dolly Parton wrote I Will 1169 01:09:10,160 --> 01:09:13,800 Speaker 1: always love you and Joe Lane in the same day. 1170 01:09:14,640 --> 01:09:18,760 Speaker 1: So put that on another one mind blowing to me, 1171 01:09:18,880 --> 01:09:23,160 Speaker 1: Like how like hit songs seem to just like explode 1172 01:09:23,160 --> 01:09:25,400 Speaker 1: out of people's minds in like a couple of minutes, 1173 01:09:25,680 --> 01:09:30,599 Speaker 1: Like it's like so wild. Yeah. Um. And then one 1174 01:09:30,640 --> 01:09:35,240 Speaker 1: more is from actually Night Gang listener at the Dock 1175 01:09:35,360 --> 01:09:38,680 Speaker 1: Fish dr Randall Fish. Uh. We were talking about how 1176 01:09:38,760 --> 01:09:41,479 Speaker 1: Jamie likes to ride dirty with no license uh, and 1177 01:09:41,560 --> 01:09:44,200 Speaker 1: he posited this tweet as a joke. Jamie Loft is 1178 01:09:44,280 --> 01:09:47,799 Speaker 1: Knock Knock, Myles and Gray, who's there? Jamie Daisy Miles, 1179 01:09:47,920 --> 01:09:56,160 Speaker 1: Daisy who Jamie Daisy me rolling So that gave me 1180 01:09:56,200 --> 01:10:00,240 Speaker 1: a nice laugh. Shout out to you, Doc fish Uh 1181 01:10:00,360 --> 01:10:04,920 Speaker 1: tweet I've been enjoying. Jenny Hogan tweeted, people will rarely 1182 01:10:05,000 --> 01:10:07,240 Speaker 1: call you ugly to your face, but if you get 1183 01:10:07,320 --> 01:10:10,800 Speaker 1: slightly better looking, they will heavily imply that you used 1184 01:10:10,840 --> 01:10:15,160 Speaker 1: to be ugly. Yeah, very true. It is Jenny as 1185 01:10:15,200 --> 01:10:20,879 Speaker 1: always serving serving up truth. And also Sean Clemens tweeted 1186 01:10:21,200 --> 01:10:24,759 Speaker 1: rolling my eyes and saying okay, Karen when my wife 1187 01:10:24,760 --> 01:10:29,920 Speaker 1: asked me to help her with literally anything. You can 1188 01:10:29,960 --> 01:10:32,360 Speaker 1: find me on Twitter at Jack Underscore O'Brien. You can 1189 01:10:32,400 --> 01:10:35,040 Speaker 1: find us on Twitter at Daily zeke Guys. We're at 1190 01:10:35,080 --> 01:10:38,120 Speaker 1: the Daily zey Geys on Instagram. We have a Facebook 1191 01:10:38,160 --> 01:10:41,639 Speaker 1: fan page and a website Daily zey guys dot com 1192 01:10:41,640 --> 01:10:45,400 Speaker 1: where we post our episodes and our footnote where we 1193 01:10:45,439 --> 01:10:48,240 Speaker 1: link off to the information that we talked about in 1194 01:10:48,280 --> 01:10:50,960 Speaker 1: today's episode, as well as a song we write it 1195 01:10:51,000 --> 01:10:53,240 Speaker 1: out on Miles, what's that going to be there? Let's 1196 01:10:53,240 --> 01:10:55,960 Speaker 1: do a tract from zero seven this this. I've been 1197 01:10:55,960 --> 01:10:58,640 Speaker 1: thinking a lot about this band because trying to pick 1198 01:10:58,720 --> 01:11:01,840 Speaker 1: up my bass guitar again and this album when it 1199 01:11:01,880 --> 01:11:03,760 Speaker 1: follows the first zero seven album. I had like these 1200 01:11:03,760 --> 01:11:06,439 Speaker 1: groovy baselines that were easy enough that I could learn 1201 01:11:06,600 --> 01:11:08,720 Speaker 1: very early on, and I would play along with this 1202 01:11:08,760 --> 01:11:11,200 Speaker 1: album a lot. Uh. They are also one of the 1203 01:11:11,200 --> 01:11:14,800 Speaker 1: reasons I came into contact with Sea's music, because she 1204 01:11:14,800 --> 01:11:17,320 Speaker 1: would also be a featured vocalist and other production. So 1205 01:11:17,360 --> 01:11:19,800 Speaker 1: this is a track called Summer Salt by zero seven. 1206 01:11:20,040 --> 01:11:23,120 Speaker 1: We see it. There's also a remix that Danger Mouse 1207 01:11:23,160 --> 01:11:25,280 Speaker 1: did that's also we're checking out if you want to 1208 01:11:25,280 --> 01:11:27,760 Speaker 1: go down that route. But this zero seven Summer Salt, 1209 01:11:28,760 --> 01:11:34,160 Speaker 1: Summer Salt, Summer Salt, all right, like the gymnastics movie 1210 01:11:35,920 --> 01:11:41,600 Speaker 1: Summer Salt. I was thinking in the flavoring no, that 1211 01:11:41,600 --> 01:11:45,200 Speaker 1: would be offer album Winter Pepper. Oh god, it got 1212 01:11:46,120 --> 01:11:48,559 Speaker 1: the daily like guys to the production of I Heart Radio. 1213 01:11:48,640 --> 01:11:51,519 Speaker 1: For more podcasts from My Heart Radio, visit the I 1214 01:11:51,600 --> 01:11:54,840 Speaker 1: Heart Radio app, Apple podcast or where every listening your 1215 01:11:54,840 --> 01:11:58,479 Speaker 1: favorite shows that is going to do it for this morning. 1216 01:11:58,520 --> 01:12:00,759 Speaker 1: We'll be back this afternoon to tell it what's trending, 1217 01:12:01,080 --> 01:12:09,040 Speaker 1: and we'll talk to you then bye. You talk as 1218 01:12:09,160 --> 01:12:16,639 Speaker 1: cause your you'll go up to her and give up 1219 01:12:16,920 --> 01:12:28,559 Speaker 1: to yourscess. We lie the sex and stores really allknown one. 1220 01:12:29,320 --> 01:12:37,479 Speaker 1: You feel like home, You feel like you're fey back