1 00:00:00,040 --> 00:00:03,880 Speaker 1: Hello the Internet, and welcome to season one, two, Episode 2 00:00:03,920 --> 00:00:07,560 Speaker 1: four of Dirt Dailies. Like Guys to production of My 3 00:00:07,800 --> 00:00:10,400 Speaker 1: Heart Radio. This is a podcast where we take a 4 00:00:10,440 --> 00:00:14,800 Speaker 1: deep dive into America's shared consciousness and say, officially, off 5 00:00:14,920 --> 00:00:18,599 Speaker 1: the top, fuck the Coke Brothers, Fuck Fox News, fuck 6 00:00:18,640 --> 00:00:27,240 Speaker 1: Rush Limbaugh, Colock buck Sexton, fuck Liverpool Bazos. We're recording 7 00:00:27,280 --> 00:00:33,320 Speaker 1: this mid Uh. I just like that's a big that's 8 00:00:33,320 --> 00:00:36,479 Speaker 1: a big shot to take right out. Yeah, yeah, I 9 00:00:36,479 --> 00:00:38,400 Speaker 1: don't know. The champions. We had to give the honor guard, 10 00:00:38,640 --> 00:00:40,600 Speaker 1: we had to give them the under guard. Yeah, Jack, 11 00:00:40,640 --> 00:00:43,919 Speaker 1: you don't want that. Liverpool, A lot of Liverpool's gang supporters. 12 00:00:43,960 --> 00:00:48,400 Speaker 1: I get the smoke regularly. I'm I'm waiting into waters. 13 00:00:48,479 --> 00:00:51,640 Speaker 1: I do not understand the depth stuff, so I will 14 00:00:51,840 --> 00:00:54,640 Speaker 1: shut up. But like a Karen at a Black Lives 15 00:00:54,640 --> 00:00:58,760 Speaker 1: Matter march, about to get into something, you might you 16 00:00:58,800 --> 00:01:02,200 Speaker 1: don't don't know. You didn't have to come here. Uh. 17 00:01:02,240 --> 00:01:06,240 Speaker 1: It's Thursday, July six. My name is Jack O'Brien. A 18 00:01:06,400 --> 00:01:11,080 Speaker 1: k all I can say is that this year is 19 00:01:11,240 --> 00:01:16,640 Speaker 1: pretty strange. We're all massed inside aunt Camp pronounced jez Lane, 20 00:01:18,280 --> 00:01:23,520 Speaker 1: my mountain dew and mouses Kirkling cold brew is the 21 00:01:23,680 --> 00:01:32,480 Speaker 1: only thing helping me through all this pain. I miss mondayingang. 22 00:01:33,040 --> 00:01:35,440 Speaker 1: That is courtesy of Christie. I'm Gucci man, and I'm 23 00:01:35,440 --> 00:01:38,560 Speaker 1: thrilled to be joined as always by my co host, 24 00:01:38,880 --> 00:01:47,120 Speaker 1: Mr Miles Brook Fool said, Myles, you know you better 25 00:01:47,920 --> 00:01:57,040 Speaker 1: watch out some girls. Some girls are only about side games. Game. 26 00:01:58,720 --> 00:02:01,040 Speaker 1: You gotta watch out. I'm you gotta watch out because 27 00:02:01,040 --> 00:02:05,240 Speaker 1: obviously the sexual power that exude from jack Days voices 28 00:02:05,240 --> 00:02:09,720 Speaker 1: on a daily basis, these verbal milkshakes cannot keep anyone 29 00:02:09,960 --> 00:02:13,080 Speaker 1: from these yards. Uh this a k A. I really 30 00:02:13,120 --> 00:02:16,000 Speaker 1: have to shout this a k A author out because 31 00:02:16,120 --> 00:02:18,919 Speaker 1: this was such a blast from my past. I almost 32 00:02:18,919 --> 00:02:20,880 Speaker 1: thought that there was no pandemic and we were in 33 00:02:20,919 --> 00:02:24,160 Speaker 1: the eighteen of Our Lord. That was from at Chapman, 34 00:02:24,360 --> 00:02:31,079 Speaker 1: Rice g It's fucking a k A Goddesses Masters, So 35 00:02:31,919 --> 00:02:38,519 Speaker 1: that's checked July thirt I'm sorry it took me so long. 36 00:02:38,560 --> 00:02:40,720 Speaker 1: I was almost in shock that I saw this. So 37 00:02:40,760 --> 00:02:43,520 Speaker 1: I hope you're doing well. It's been a minute. Chapman 38 00:02:44,040 --> 00:02:47,160 Speaker 1: the Ridge, Christie, I'm a Gucci man. You know, she 39 00:02:47,320 --> 00:02:51,000 Speaker 1: was the first one who was submitting so many so fast. 40 00:02:51,120 --> 00:02:56,639 Speaker 1: So Christie I mean, the list goes on. Shout out 41 00:02:56,639 --> 00:02:59,880 Speaker 1: Hannah Sultis. You know her influence will be felt down 42 00:03:00,040 --> 00:03:04,000 Speaker 1: through history. Hey, Miles, we have a great first time guest. 43 00:03:04,120 --> 00:03:10,919 Speaker 1: He is the brilliant, the talented Mr Hayes Brown. What's up? Hi. 44 00:03:11,360 --> 00:03:15,800 Speaker 1: I am flattered and humbled by that intro. I'm delighted 45 00:03:15,840 --> 00:03:18,920 Speaker 1: to hear all this first time. It was just a 46 00:03:18,919 --> 00:03:22,239 Speaker 1: little drop in when the impeached. Yeah, when the Impeachment 47 00:03:22,240 --> 00:03:26,000 Speaker 1: podcast started, We're like, okay, and then now come come 48 00:03:26,040 --> 00:03:28,480 Speaker 1: on in, come back, come on the guest be our 49 00:03:28,600 --> 00:03:34,839 Speaker 1: day for a while. Yeah. Um, so heyes, you you 50 00:03:35,000 --> 00:03:38,680 Speaker 1: hosted the Impeachment podcast back when that was all anyone 51 00:03:38,880 --> 00:03:42,440 Speaker 1: could think about wanted to think about. Uh. And now 52 00:03:42,720 --> 00:03:46,760 Speaker 1: you are hosting with BuzzFeed News or uh as part 53 00:03:46,760 --> 00:03:49,800 Speaker 1: of BuzzFeed News. Are you an editor at BuzzFeed News? So, 54 00:03:49,880 --> 00:03:53,000 Speaker 1: I was an editor at BuzzFeed News, but now my 55 00:03:53,320 --> 00:03:56,520 Speaker 1: main gig is doing the podcast daily. It's called News 56 00:03:56,520 --> 00:03:59,760 Speaker 1: the Clock from and I heart and yeah, that's that's 57 00:03:59,800 --> 00:04:02,920 Speaker 1: my day and day out these days. Uh. It's a 58 00:04:02,920 --> 00:04:06,360 Speaker 1: good show. Uh. You are a great voice to check 59 00:04:06,400 --> 00:04:09,600 Speaker 1: in with daily. Uh. And we're gonna get to know 60 00:04:09,680 --> 00:04:11,640 Speaker 1: you a little bit better in a moment. First, we're 61 00:04:11,680 --> 00:04:13,640 Speaker 1: gonna tell our listeners a couple of things we're talking 62 00:04:13,680 --> 00:04:17,040 Speaker 1: about today. What are we going to talk about today. 63 00:04:17,279 --> 00:04:20,120 Speaker 1: We're gonna talk about the fact that Asheville, North Carolina 64 00:04:20,200 --> 00:04:24,839 Speaker 1: approved reparations for black residents. Um, We're gonna talk about 65 00:04:25,560 --> 00:04:29,279 Speaker 1: the White House's battle with the c d C. That's 66 00:04:29,320 --> 00:04:32,719 Speaker 1: where we're at. We're gonna talk about the wayfair conspiracy theory, 67 00:04:33,040 --> 00:04:42,840 Speaker 1: uh which how our country getting? Oh boy? And then 68 00:04:42,880 --> 00:04:45,720 Speaker 1: I'm gonna talk about lead poisoning if we have time. 69 00:04:45,920 --> 00:04:49,839 Speaker 1: Got a lot to say about lead poisoning. But first, heys, 70 00:04:49,920 --> 00:04:52,320 Speaker 1: we like to ask our guests, what is something from 71 00:04:52,360 --> 00:04:57,039 Speaker 1: your search history that is revealing about who you are? Uh? 72 00:04:57,080 --> 00:04:59,120 Speaker 1: So I had to go back a little bit to 73 00:04:59,320 --> 00:05:01,960 Speaker 1: figure this out because I'm googling just random things all 74 00:05:02,040 --> 00:05:05,760 Speaker 1: day for work, and one that I came up with 75 00:05:06,160 --> 00:05:10,719 Speaker 1: was Garth Brooks breakfast Bowl because I saw a tweet 76 00:05:11,360 --> 00:05:14,400 Speaker 1: that mentioned the idea of So basically it was a 77 00:05:14,440 --> 00:05:18,279 Speaker 1: tweet about who would you be quarantining with? This person said, 78 00:05:18,279 --> 00:05:20,960 Speaker 1: oh man, I'll be eating Garth Brooks's breakfast bowl every day. 79 00:05:20,960 --> 00:05:24,000 Speaker 1: It's like, what is that? What kind of sexual maneuver 80 00:05:24,200 --> 00:05:28,920 Speaker 1: is that unfortunately, unfortunately, it is not at all a 81 00:05:28,960 --> 00:05:32,839 Speaker 1: sexual maneuver. It is though a breakfast that Garth has 82 00:05:33,240 --> 00:05:38,400 Speaker 1: contrived and his Inntricia Yearwood's cookbook, whereby you take scrambled 83 00:05:38,400 --> 00:05:43,080 Speaker 1: eggs and sausage and bacon and towrtalini and put it 84 00:05:43,080 --> 00:05:51,120 Speaker 1: all just sometimes apparently he will cook up fries or 85 00:05:51,120 --> 00:05:53,000 Speaker 1: some port of fried potato to go with it too, 86 00:05:53,360 --> 00:05:57,200 Speaker 1: and that is the Garth Brooks breakfast bowl. And it's 87 00:05:57,279 --> 00:06:02,040 Speaker 1: so American that it hurts soul and the arteries. Yeah, 88 00:06:02,640 --> 00:06:09,400 Speaker 1: exact violent mash up of food too. It's like and tortalini. 89 00:06:09,800 --> 00:06:13,279 Speaker 1: Apparently he puts tortalini in like so many different things. 90 00:06:13,400 --> 00:06:16,159 Speaker 1: And Tricia your what has apparently given up on telling him, no, 91 00:06:16,240 --> 00:06:18,600 Speaker 1: you can't do that. He'll just be like, oh, you're 92 00:06:18,600 --> 00:06:21,560 Speaker 1: making a breakfast keys, throw some tortalini and then it's like, no, 93 00:06:21,680 --> 00:06:24,200 Speaker 1: you're you're wilding out Garth Brooks. And she does it 94 00:06:24,320 --> 00:06:27,640 Speaker 1: and it's delicious. Apparent. You take your coffee black, yeah, black, 95 00:06:27,680 --> 00:06:30,880 Speaker 1: with some tortellini in there. Please just squeeze the pasta, 96 00:06:30,960 --> 00:06:33,039 Speaker 1: get the cheese in their stirred in and then let 97 00:06:33,040 --> 00:06:35,400 Speaker 1: the pasta float all you guys. You guys are gonna 98 00:06:35,440 --> 00:06:40,679 Speaker 1: say domo arigato when you have some of Garth's famous tortos. SHEMI, okay, 99 00:06:40,800 --> 00:06:47,200 Speaker 1: it's around. You just slice it so thin. Then you 100 00:06:47,200 --> 00:06:49,680 Speaker 1: don't even know, you don't even know, you don't even know. 101 00:06:50,240 --> 00:06:54,480 Speaker 1: Oh man, Garth Brooks one of my favorite. Uh you 102 00:06:54,480 --> 00:06:59,320 Speaker 1: know that there's some famous people who are just basically 103 00:06:59,560 --> 00:07:06,080 Speaker 1: a walking, talking, uh psychological experiment of like just you know, 104 00:07:06,120 --> 00:07:10,200 Speaker 1: they've grown up in such strange uh circumstance. There exists 105 00:07:10,200 --> 00:07:14,600 Speaker 1: in such strange circumstances because of how famous they are. Uh, 106 00:07:14,760 --> 00:07:19,239 Speaker 1: they're just any video, any interview with him, any video 107 00:07:19,360 --> 00:07:22,800 Speaker 1: he posts of himself. He's he's just like on a 108 00:07:22,880 --> 00:07:27,160 Speaker 1: different planet, um in a in a very entertaining way. 109 00:07:27,320 --> 00:07:29,320 Speaker 1: Hey man, Yeah, he's like he's just like gas lit 110 00:07:29,360 --> 00:07:31,960 Speaker 1: by his own success. You know, hey man, I don't 111 00:07:31,960 --> 00:07:36,680 Speaker 1: even know where I am, but so as a black kid, 112 00:07:36,680 --> 00:07:38,720 Speaker 1: I didn't really grow up with grape books. The first 113 00:07:38,760 --> 00:07:40,960 Speaker 1: memory I have of his existence was him on the 114 00:07:41,000 --> 00:07:43,880 Speaker 1: old nineties show Muppets Tonight, the very short lived show 115 00:07:43,880 --> 00:07:47,680 Speaker 1: where he was the guest. He they the conceit was 116 00:07:47,720 --> 00:07:49,680 Speaker 1: he was supposed to do a country song. For them, 117 00:07:49,680 --> 00:07:52,360 Speaker 1: and he just never really did. And at one point 118 00:07:52,440 --> 00:07:55,280 Speaker 1: he finally agrees to and he goes out he performs 119 00:07:55,360 --> 00:07:57,520 Speaker 1: If I were a rich man from further on the roof. 120 00:07:58,920 --> 00:08:00,920 Speaker 1: You said he was going to do a country song. Yeah, 121 00:08:00,920 --> 00:08:05,920 Speaker 1: he didn't say which country. There you go, Garth. Uh. Well, 122 00:08:05,960 --> 00:08:08,360 Speaker 1: I wonder if that was around the Chris Gaines time 123 00:08:08,520 --> 00:08:13,760 Speaker 1: when he was just upsetting all audience expectations. This this 124 00:08:13,800 --> 00:08:16,880 Speaker 1: what had been around like nineties sight, So I don't 125 00:08:16,880 --> 00:08:18,960 Speaker 1: remember when the Chris Gaines thing was, but I think 126 00:08:19,000 --> 00:08:21,640 Speaker 1: it was a little bit before a little bit after that. Yeah, 127 00:08:21,720 --> 00:08:24,280 Speaker 1: I think that was my first memory of like realizing 128 00:08:24,320 --> 00:08:27,080 Speaker 1: he was a big deal, because the Chris Gaines thing 129 00:08:27,240 --> 00:08:31,880 Speaker 1: was like I was like, oh, you can do that. 130 00:08:32,480 --> 00:08:35,439 Speaker 1: I mean, I knew his name, really yeah. But at 131 00:08:35,440 --> 00:08:39,360 Speaker 1: the same time I'm like, hey, okay, yeah, hey man, 132 00:08:39,600 --> 00:08:41,480 Speaker 1: you know, guys are like some Fiddler on the roof. 133 00:08:41,480 --> 00:08:48,680 Speaker 1: I'm gonna beat TeV are Um West. But just the 134 00:08:49,760 --> 00:08:52,600 Speaker 1: like that that is he was already on some next 135 00:08:52,679 --> 00:08:57,960 Speaker 1: level h thinking like galaxy brain fame. When he's like 136 00:08:58,000 --> 00:09:00,560 Speaker 1: all right, I'm at the peak of my it's like 137 00:09:00,800 --> 00:09:03,120 Speaker 1: Michael Jordan's level, where he's just like I'm at the 138 00:09:03,120 --> 00:09:06,120 Speaker 1: peak of my powers as a country artist. I will 139 00:09:06,559 --> 00:09:10,640 Speaker 1: change my name, change my appearance, and uh do a 140 00:09:11,120 --> 00:09:13,120 Speaker 1: part with the really wild part. Change in the name. 141 00:09:13,160 --> 00:09:15,960 Speaker 1: That's just part of being famous, people do. Beyonce was 142 00:09:16,000 --> 00:09:18,240 Speaker 1: briefly Sasha Fierce, and that's an alter ego, I you have. 143 00:09:18,320 --> 00:09:22,000 Speaker 1: It's fine. But changing the look was the will look, 144 00:09:22,520 --> 00:09:28,359 Speaker 1: the the genre, the um and and insisting on introducing 145 00:09:28,440 --> 00:09:30,960 Speaker 1: Chris Gaines as the musical guest on the episode of 146 00:09:31,120 --> 00:09:34,679 Speaker 1: SNL that he hosted. Um, but that's just me playing 147 00:09:34,679 --> 00:09:38,600 Speaker 1: peekaboo with reality. Man. Yeah, I moved to uh to 148 00:09:38,920 --> 00:09:43,960 Speaker 1: Kentucky in the nineties, and he was like, I was 149 00:09:44,040 --> 00:09:48,320 Speaker 1: fully unprepared for the fact that Garth Brooks was basically 150 00:09:48,400 --> 00:09:50,800 Speaker 1: like Michael Jackson at that point. Like it was like 151 00:09:50,920 --> 00:09:55,880 Speaker 1: Thriller Thriller era Michael Jackson for people who had jack 152 00:09:55,960 --> 00:10:01,040 Speaker 1: trucks and cowboy hats. Um, what is is something you 153 00:10:01,040 --> 00:10:05,280 Speaker 1: think is underrated? Underrated? I thought it hard about this one, 154 00:10:05,360 --> 00:10:08,920 Speaker 1: and I'm going to come both barrels blazing and say 155 00:10:08,960 --> 00:10:15,079 Speaker 1: that underrated is classic film Wild Wild West. And let 156 00:10:15,120 --> 00:10:21,480 Speaker 1: me explain, let me explain precisely. Uh, there are a 157 00:10:21,520 --> 00:10:25,640 Speaker 1: lot of problems with this movie. Just putting that out front. However, 158 00:10:26,880 --> 00:10:29,920 Speaker 1: it did two things for the culture. One, it kept 159 00:10:29,960 --> 00:10:33,480 Speaker 1: Will Smith from being neo in the Matrix. He turned 160 00:10:33,800 --> 00:10:36,720 Speaker 1: down neo for this role, and I think that the 161 00:10:36,720 --> 00:10:41,040 Speaker 1: timeline is better for that. And two, especially for right now, 162 00:10:41,200 --> 00:10:44,000 Speaker 1: I think it's important that we had a movie that 163 00:10:44,080 --> 00:10:49,200 Speaker 1: was all about Will Smith and Kevin Klein punching Confederates. 164 00:10:49,960 --> 00:10:52,880 Speaker 1: I think that that is the thing we should be 165 00:10:52,880 --> 00:10:56,600 Speaker 1: focused on. That they talk about Confederate massacres of free 166 00:10:56,640 --> 00:10:59,960 Speaker 1: black people and the South will rise again as bullshit 167 00:11:00,040 --> 00:11:02,560 Speaker 1: it and just I really think that we need to 168 00:11:02,559 --> 00:11:05,240 Speaker 1: take another look at it, maybe to lead out some 169 00:11:05,440 --> 00:11:09,080 Speaker 1: extremely proud of problematic jokes about Asians and the disabled 170 00:11:09,320 --> 00:11:13,880 Speaker 1: and just focused on the Confederate punchion. Those nineties action 171 00:11:13,920 --> 00:11:17,200 Speaker 1: films What can you do? What can you do? What was? 172 00:11:17,320 --> 00:11:21,760 Speaker 1: What was loveless? That was Kenneth Brana right yep? And 173 00:11:21,800 --> 00:11:24,440 Speaker 1: what was his backstory? Like? Was he? I just remember 174 00:11:24,559 --> 00:11:27,120 Speaker 1: his name and who? I just remember his his backstory? 175 00:11:29,160 --> 00:11:33,839 Speaker 1: He lost his lower half due to some accident or 176 00:11:33,880 --> 00:11:38,920 Speaker 1: another in his backstory. Instead focused on mechanical improvement, So 177 00:11:38,960 --> 00:11:41,560 Speaker 1: we had this steam powered wheelchair. He's the one that 178 00:11:41,559 --> 00:11:45,160 Speaker 1: built the giant Robots spid mechanical. And there was another 179 00:11:45,240 --> 00:11:50,880 Speaker 1: bullet that Wild West, Wild Wild West on side was 180 00:11:50,880 --> 00:11:53,280 Speaker 1: another bullet that that movie took for us is that 181 00:11:53,760 --> 00:11:58,520 Speaker 1: the producer John Peters, riding into the nineties just high, 182 00:11:58,800 --> 00:12:03,520 Speaker 1: literally literally uns blazing, was like, somebody is going to 183 00:12:03,559 --> 00:12:06,240 Speaker 1: make a movie that ends with the giant mechanical spider. 184 00:12:06,480 --> 00:12:09,120 Speaker 1: He was determined. He was determined. He tried to put 185 00:12:09,160 --> 00:12:13,960 Speaker 1: it in a Superman movie and people people noted it 186 00:12:14,080 --> 00:12:16,800 Speaker 1: out of out of that script. So he was like, 187 00:12:17,120 --> 00:12:20,040 Speaker 1: all right, guess now I'm gonna throw an idea out 188 00:12:20,080 --> 00:12:22,880 Speaker 1: there and you're going to incorporate it into the script. 189 00:12:23,080 --> 00:12:29,719 Speaker 1: And sure enough, John Peters giant mechanical electric sprint. I mean, 190 00:12:29,880 --> 00:12:31,920 Speaker 1: how many times if people had to like placate and 191 00:12:32,000 --> 00:12:33,840 Speaker 1: be like, hey dude, I funk with the vision. I 192 00:12:33,880 --> 00:12:36,400 Speaker 1: seriously do. I just don't know if it's right for this? 193 00:12:36,520 --> 00:12:39,840 Speaker 1: What didn't I mean, how pivotal as Wild Wild West 194 00:12:39,880 --> 00:12:43,000 Speaker 1: to like steampunk culture because I feel like, because I 195 00:12:43,000 --> 00:12:46,080 Speaker 1: feel like I'm sure and amazing, we recognize I feel 196 00:12:46,120 --> 00:12:48,839 Speaker 1: like more than we recognized because especially because the tiny 197 00:12:48,840 --> 00:12:52,440 Speaker 1: sunglasses fad. Do you remember the tiny like little Wild 198 00:12:52,480 --> 00:12:56,960 Speaker 1: Wild West sunglasses the Burger King went to exactly. Those 199 00:12:57,000 --> 00:12:59,360 Speaker 1: were such a hot commodity. I loved mine until I 200 00:12:59,559 --> 00:13:01,599 Speaker 1: pretty sure lost mine at the pool. That's something that 201 00:13:01,720 --> 00:13:05,440 Speaker 1: same summer, we're we did a rewatch of men in 202 00:13:05,480 --> 00:13:11,480 Speaker 1: Black earlier in the quarantine and it ends showing like 203 00:13:11,520 --> 00:13:15,600 Speaker 1: a future vision of after Tommy Lee Jones retires and 204 00:13:15,640 --> 00:13:18,920 Speaker 1: Will Smith is the new like leader of the crew 205 00:13:19,280 --> 00:13:22,800 Speaker 1: and he has like these weird tiny, uh, sort of 206 00:13:23,679 --> 00:13:27,880 Speaker 1: armless sunglasses on his face that are uh he that 207 00:13:27,960 --> 00:13:31,880 Speaker 1: was his mechanical spider tiny sunglasses. He's like, you know 208 00:13:32,120 --> 00:13:35,960 Speaker 1: it looked up tiny sunglasses. Fun fact, those are what 209 00:13:36,000 --> 00:13:39,200 Speaker 1: inspired Kylie Jenner the last couple of years. Some tiny 210 00:13:39,200 --> 00:13:42,439 Speaker 1: sunglasses that's entirely made up. That's not at all to 211 00:13:42,800 --> 00:13:44,880 Speaker 1: my knowledge. I believe it though. She's like, have you 212 00:13:44,880 --> 00:13:51,800 Speaker 1: guys seen this? What is something you think is overrated? Uh? 213 00:13:51,960 --> 00:13:55,280 Speaker 1: Being right? Like, don't get me wrong, I'm a Virgo 214 00:13:55,640 --> 00:14:00,280 Speaker 1: with Sagittarius. I love being right. But some p pull 215 00:14:00,440 --> 00:14:04,160 Speaker 1: on God's Internet take it too far and cannot admit 216 00:14:04,320 --> 00:14:07,440 Speaker 1: when they are wrong. And I feel like if more 217 00:14:07,520 --> 00:14:10,320 Speaker 1: people online, we're willing to be like, oh yo, my 218 00:14:10,440 --> 00:14:13,400 Speaker 1: facts were completely twisted there, or hey, I stepped out 219 00:14:13,400 --> 00:14:16,040 Speaker 1: of line, I was wrong, then the internet would be 220 00:14:16,080 --> 00:14:19,480 Speaker 1: a better place in my opinion. Yeah, but then you 221 00:14:19,480 --> 00:14:26,920 Speaker 1: look like a punk with no balls and that it 222 00:14:27,080 --> 00:14:30,720 Speaker 1: is over rated, Like why not just say oh shit, 223 00:14:30,960 --> 00:14:36,000 Speaker 1: I learned something today and forward it really is. Yeah, 224 00:14:36,040 --> 00:14:38,600 Speaker 1: I think we've over the last you know, I think 225 00:14:38,720 --> 00:14:41,400 Speaker 1: months and months, whether it's the pandemic or the uprisings 226 00:14:41,400 --> 00:14:44,200 Speaker 1: and things like that that have gone on more and 227 00:14:44,240 --> 00:14:47,080 Speaker 1: more being encouraging people or feel like the funniest tweets 228 00:14:47,120 --> 00:14:49,200 Speaker 1: to me are the ones encouraging people, like, hey man, 229 00:14:49,280 --> 00:14:51,840 Speaker 1: let's normalize just being like, yeah, okay, I took an 230 00:14:51,960 --> 00:14:54,280 Speaker 1: L on that one, but I learned picking it up 231 00:14:54,360 --> 00:14:56,840 Speaker 1: and moving on because guess what, I learned something now. 232 00:14:56,880 --> 00:14:59,440 Speaker 1: So now I'm adding to my fucking you know, if 233 00:14:59,480 --> 00:15:01,360 Speaker 1: you want to, if you're gonna get your ego wrapped 234 00:15:01,400 --> 00:15:04,320 Speaker 1: into it, then at least then at least say, oh shoot, 235 00:15:04,360 --> 00:15:05,880 Speaker 1: I didn't know that. Let me shut the funk up 236 00:15:05,880 --> 00:15:08,080 Speaker 1: real quick. I'm gonna take the L put this in 237 00:15:08,120 --> 00:15:10,240 Speaker 1: my knowledge base, and then I can come back harder 238 00:15:10,280 --> 00:15:11,800 Speaker 1: because then at least I know what the right thing is. 239 00:15:11,840 --> 00:15:14,520 Speaker 1: I'm not just out here just an empty vessel, vessel 240 00:15:14,560 --> 00:15:16,800 Speaker 1: for my ego to run wild, right. I feel like 241 00:15:17,040 --> 00:15:20,960 Speaker 1: every villain that we come across in is someone who 242 00:15:20,960 --> 00:15:24,720 Speaker 1: has refused to take the l and grow from it. Yeah, 243 00:15:25,600 --> 00:15:28,600 Speaker 1: the big I mean, wow, oh god, that's like the 244 00:15:28,600 --> 00:15:30,800 Speaker 1: the lesson that we're having to learn as a society 245 00:15:30,800 --> 00:15:33,120 Speaker 1: and most people have in general. But it's like this one. 246 00:15:33,120 --> 00:15:36,400 Speaker 1: It's like, so the the message of is learned to 247 00:15:36,400 --> 00:15:39,600 Speaker 1: take the l um and you know, accept that and 248 00:15:39,680 --> 00:15:42,680 Speaker 1: keep it moving. Yep. The I feel like a lot 249 00:15:42,720 --> 00:15:47,920 Speaker 1: of the criticisms of cancel culture are really criticisms of 250 00:15:47,960 --> 00:15:52,960 Speaker 1: the idea that you only get one chance to like 251 00:15:53,040 --> 00:15:55,640 Speaker 1: be wrong and then nobody listens to you ever again. 252 00:15:55,840 --> 00:15:59,680 Speaker 1: And I feel like that's not necessarily the case. That's 253 00:15:59,680 --> 00:16:04,360 Speaker 1: not like the thesis statement of you know, progressive culture 254 00:16:04,520 --> 00:16:08,400 Speaker 1: right now, it's just a way that defensive people have 255 00:16:08,640 --> 00:16:13,040 Speaker 1: interpreted criticism. I feel like, exactly again, people who just 256 00:16:13,120 --> 00:16:16,680 Speaker 1: can't take the l who I cannot believe that I 257 00:16:16,720 --> 00:16:20,200 Speaker 1: said this, and now people are yelling at me and 258 00:16:20,320 --> 00:16:23,520 Speaker 1: want me to be fired from my very high powered 259 00:16:23,560 --> 00:16:28,080 Speaker 1: position because I had this opinion that is just an opinion. 260 00:16:30,240 --> 00:16:34,120 Speaker 1: Oh boy, hey, is what is a myth. What's something 261 00:16:34,200 --> 00:16:37,360 Speaker 1: people think is true you know to be false. So 262 00:16:37,440 --> 00:16:39,600 Speaker 1: this one is gonna be a little controversial. But the 263 00:16:39,640 --> 00:16:42,800 Speaker 1: one that I'm bringing to you is the myth that 264 00:16:43,400 --> 00:16:48,400 Speaker 1: famed documentary and Michael Moore is from Flint, Michigan. Oh 265 00:16:48,560 --> 00:16:50,400 Speaker 1: is he? Do people think he's from Flint? Or I 266 00:16:50,400 --> 00:16:53,200 Speaker 1: guess we should have a strong association with him because 267 00:16:53,200 --> 00:16:56,000 Speaker 1: of his early work, right exactly did Roger and me 268 00:16:56,240 --> 00:16:59,240 Speaker 1: the classic documentary about what happened to Flint after gene collapse? 269 00:16:59,480 --> 00:17:01,800 Speaker 1: And you know his dead was a GM worker. Is 270 00:17:02,640 --> 00:17:05,000 Speaker 1: his family like part took part in the sit down 271 00:17:05,119 --> 00:17:08,119 Speaker 1: strikes of when the General Motors Union the u a 272 00:17:08,280 --> 00:17:12,000 Speaker 1: W was being founded. But here's the thing. He was 273 00:17:12,040 --> 00:17:16,080 Speaker 1: born and raised in Davison, Michigan, which is about two 274 00:17:16,080 --> 00:17:18,920 Speaker 1: suburbs out from Flint. So if you go east from Flint, 275 00:17:18,960 --> 00:17:23,560 Speaker 1: first you hit Burton and then Davison Township, and yes, 276 00:17:24,000 --> 00:17:26,280 Speaker 1: it's the Flint area. It's a suburb of Flint. It's 277 00:17:26,320 --> 00:17:28,080 Speaker 1: like the people who say that they're from Chicago when 278 00:17:28,080 --> 00:17:31,840 Speaker 1: they're really from like the North Shore. But it's it's yeah, 279 00:17:31,840 --> 00:17:34,479 Speaker 1: that's that's that's the analogy. I'd say. It's like if 280 00:17:34,480 --> 00:17:37,560 Speaker 1: you're saying like, yeah, I'm from Chicago. Ah, you're actually 281 00:17:37,680 --> 00:17:42,359 Speaker 1: from like Evanston or further out, not quite. I see 282 00:17:42,359 --> 00:17:44,480 Speaker 1: what you're doing there, And some people do adjust to, 283 00:17:44,560 --> 00:17:46,879 Speaker 1: you know, because you don't feel like explaining like where 284 00:17:46,960 --> 00:17:50,280 Speaker 1: whatever place you're from is. But also you get some 285 00:17:50,320 --> 00:17:52,439 Speaker 1: more credit from that. And that is something that I 286 00:17:52,480 --> 00:17:55,920 Speaker 1: have long been like, Okay, but Michael, do you get 287 00:17:55,960 --> 00:17:58,080 Speaker 1: to say that when you did not graduate from the 288 00:17:58,119 --> 00:18:02,320 Speaker 1: Flint school system, a local Michigan or beef, we're like, oh, 289 00:18:02,920 --> 00:18:06,320 Speaker 1: from Davison, even from Flint. It's like the thing. It's 290 00:18:06,400 --> 00:18:08,000 Speaker 1: in a way like when I travel and I meet 291 00:18:08,000 --> 00:18:10,040 Speaker 1: people and they say they're from l A and I'm like, oh, really, well, 292 00:18:10,040 --> 00:18:14,080 Speaker 1: part of they're like Huntington Beach. I said, that is 293 00:18:14,760 --> 00:18:17,160 Speaker 1: Orange County, My good man. But I understand to you, 294 00:18:17,320 --> 00:18:19,560 Speaker 1: if you're zooming out on a map enough, those two 295 00:18:19,600 --> 00:18:22,000 Speaker 1: points look very close together, So fair play to you 296 00:18:22,040 --> 00:18:24,400 Speaker 1: on that. But if the closer we get, we begin 297 00:18:24,480 --> 00:18:26,359 Speaker 1: to see the distance between the two and they are 298 00:18:26,359 --> 00:18:29,119 Speaker 1: not in fact the same place. Is Davidson like is 299 00:18:29,160 --> 00:18:31,919 Speaker 1: there a a certain vibe that's very different from Flint? 300 00:18:32,000 --> 00:18:34,000 Speaker 1: That is also like is it a it's a little 301 00:18:34,080 --> 00:18:36,880 Speaker 1: less work. I mean is that it's it's more that 302 00:18:36,960 --> 00:18:39,600 Speaker 1: it's a little whiter, that's for sure. Because one of 303 00:18:39,640 --> 00:18:42,840 Speaker 1: the big things is that when uh GM collapsed and 304 00:18:42,880 --> 00:18:46,280 Speaker 1: after like the you know, general creation of the suburbs, 305 00:18:46,280 --> 00:18:49,000 Speaker 1: Flint became blacker and black or over time, and because 306 00:18:49,000 --> 00:18:51,639 Speaker 1: as people fled out to the suburbs, and that's you know, 307 00:18:52,119 --> 00:18:55,880 Speaker 1: very clearly on display to this day. Um. And also 308 00:18:55,920 --> 00:19:00,159 Speaker 1: you know, like their school systems have more money available, etcetera. 309 00:19:00,160 --> 00:19:03,240 Speaker 1: It's like my high school which no longer exists. Wow 310 00:19:03,680 --> 00:19:07,440 Speaker 1: wow really Oh yeah, Flinn Central closed down like maybe 311 00:19:07,760 --> 00:19:11,280 Speaker 1: three years after I graduated, which real shame, beautiful old building, 312 00:19:11,720 --> 00:19:16,399 Speaker 1: great magnet program. I was in the Magnet program for 313 00:19:16,480 --> 00:19:20,640 Speaker 1: UM social sciences, so English and uh and history and 314 00:19:21,160 --> 00:19:24,280 Speaker 1: theater had model Unitedations where people would come from other 315 00:19:24,359 --> 00:19:27,600 Speaker 1: high schools to our high school for that program to 316 00:19:28,080 --> 00:19:30,760 Speaker 1: it was a great school and I miss it on 317 00:19:30,800 --> 00:19:34,159 Speaker 1: the regular And what what had it was just the 318 00:19:34,600 --> 00:19:38,639 Speaker 1: funding and like funding it was too big a place 319 00:19:38,720 --> 00:19:41,800 Speaker 1: to who she is from Michigan in fact, um, but yeah, 320 00:19:41,800 --> 00:19:45,080 Speaker 1: I know, this wasn't money to maintain this giant old building. 321 00:19:45,080 --> 00:19:47,680 Speaker 1: There weren't enough students, so they were trying to consolidate, 322 00:19:47,720 --> 00:19:49,480 Speaker 1: and Central was one of those who is like, well 323 00:19:49,760 --> 00:19:53,800 Speaker 1: give it the X, which is such a shame. That's brutal. 324 00:19:54,520 --> 00:20:01,280 Speaker 1: It's weird. The documentary filmmakers are such like they are 325 00:20:01,520 --> 00:20:05,240 Speaker 1: our culture's most skillful liars. I feel like I feel 326 00:20:05,280 --> 00:20:08,240 Speaker 1: like I feel like all documentary films, like When You 327 00:20:08,359 --> 00:20:12,359 Speaker 1: Look hard Enough, are like based around some central lie 328 00:20:12,720 --> 00:20:15,359 Speaker 1: or like something that they're just like leaving out where 329 00:20:15,400 --> 00:20:20,440 Speaker 1: it's like okay, yeah, I see that's the narrative twists 330 00:20:20,160 --> 00:20:24,200 Speaker 1: right right, Um, it's not not all, but a lot 331 00:20:24,240 --> 00:20:27,840 Speaker 1: of the big ones I feel like are it's worth research, 332 00:20:27,960 --> 00:20:31,240 Speaker 1: doing as much research as possible when you when you 333 00:20:31,240 --> 00:20:35,840 Speaker 1: watch a documentary movie before allowing it to completely shape 334 00:20:35,840 --> 00:20:39,600 Speaker 1: your worldview or like foresee where like what their early 335 00:20:39,640 --> 00:20:42,120 Speaker 1: work was, it's like, oh, they were making like illegal 336 00:20:42,200 --> 00:20:47,160 Speaker 1: drag racing videos, Like I supposen't like trust their take 337 00:20:47,200 --> 00:20:51,160 Speaker 1: on this like complex jew political issue for sure, especially 338 00:20:51,160 --> 00:20:53,000 Speaker 1: like with the rise of YouTube and people putting out 339 00:20:53,040 --> 00:21:00,200 Speaker 1: documentaries out there like Weapon. Yeah, it's absolutely that's why 340 00:21:00,240 --> 00:21:03,359 Speaker 1: I trust. Like if it's British, I will the time 341 00:21:03,400 --> 00:21:05,520 Speaker 1: trust it as a documentary, Like if it says BBC 342 00:21:05,640 --> 00:21:08,320 Speaker 1: at the start like sold I don't believe whatever you 343 00:21:08,480 --> 00:21:10,640 Speaker 1: tell me now, And then every time I'm like, oh 344 00:21:10,680 --> 00:21:13,560 Speaker 1: cool another political doc on HBO, I'm like, oh, it's 345 00:21:13,680 --> 00:21:18,920 Speaker 1: Nancy Pelosi's daughter. That's right. She's a great documentarian though, 346 00:21:20,880 --> 00:21:24,720 Speaker 1: Alexander Pelosi, Yeah, yeah, yeah, she's She's had some really 347 00:21:25,160 --> 00:21:27,439 Speaker 1: like journeys with George like that one like which is 348 00:21:27,480 --> 00:21:30,000 Speaker 1: so funny when you're like whoa what access and you're like, 349 00:21:30,080 --> 00:21:34,800 Speaker 1: you're Nancy Pelosi's daughter, But you get interesting. There's like 350 00:21:34,840 --> 00:21:38,040 Speaker 1: some interesting uh stories that have been told, like she 351 00:21:38,119 --> 00:21:41,840 Speaker 1: alt said that other one with Ted Haggard, um about 352 00:21:41,880 --> 00:21:45,000 Speaker 1: you know that the evangelical pastor. It's interesting work. But yeah, 353 00:21:45,040 --> 00:21:47,560 Speaker 1: it's always interesting to see sort of how people get 354 00:21:47,600 --> 00:21:50,520 Speaker 1: into documentary documentary work. Some people like I always grew 355 00:21:50,600 --> 00:21:53,240 Speaker 1: up with a camera because my parents were rich, so 356 00:21:53,680 --> 00:21:55,560 Speaker 1: that's how I did it. And other people are like 357 00:21:55,920 --> 00:21:58,439 Speaker 1: nobody knew about this thing and like I had to 358 00:21:58,480 --> 00:22:00,639 Speaker 1: figure it out and blah blah blah. It's always I 359 00:22:00,680 --> 00:22:03,000 Speaker 1: always like to read about a little bit of the 360 00:22:03,000 --> 00:22:05,359 Speaker 1: backstory about where people are coming from, because it doesn't 361 00:22:05,359 --> 00:22:07,240 Speaker 1: necessarily need get the work. But it's always interesting to 362 00:22:07,240 --> 00:22:10,600 Speaker 1: see with them it fleshes out, it adds more context. Yeah, absolutely, 363 00:22:10,720 --> 00:22:12,320 Speaker 1: But I feel like that's something that we need to 364 00:22:12,640 --> 00:22:16,240 Speaker 1: be kind of paying more attention to as a people 365 00:22:16,520 --> 00:22:21,600 Speaker 1: as we enter this time when uh, like every almost 366 00:22:21,640 --> 00:22:25,840 Speaker 1: every human being will have a like enough footage of 367 00:22:25,880 --> 00:22:29,600 Speaker 1: them from birth to like make a compelling documentary one 368 00:22:29,600 --> 00:22:31,640 Speaker 1: way or another, like we have two while but yeah, 369 00:22:32,040 --> 00:22:36,720 Speaker 1: be aware that, like you can lie with real with 370 00:22:36,960 --> 00:22:40,080 Speaker 1: editing just editing, you don't have to, you know, you 371 00:22:40,160 --> 00:22:44,479 Speaker 1: know I am I. I stand hard for context. As 372 00:22:44,560 --> 00:22:46,399 Speaker 1: much context as you can pack into a thing that 373 00:22:46,480 --> 00:22:50,639 Speaker 1: explains why you're telling me this, why it's important, what 374 00:22:50,800 --> 00:22:53,440 Speaker 1: it led up to, whatever it is that you're talking about. 375 00:22:53,800 --> 00:22:58,960 Speaker 1: As much as you can give, the more I appreciate it. Yeah, alright, guys, 376 00:22:59,040 --> 00:23:12,320 Speaker 1: let's take a quick Racine will be right back and 377 00:23:12,359 --> 00:23:18,440 Speaker 1: we're back. Uh and yeah. Asheville, North Carolina, has approved 378 00:23:18,920 --> 00:23:24,600 Speaker 1: reparations for black residents. The city council voted seven oh 379 00:23:25,040 --> 00:23:30,880 Speaker 1: to address the inequality in their city caused by systemic racism. Yeah, 380 00:23:31,080 --> 00:23:34,159 Speaker 1: it's interesting. I mean it's not a direct payment type 381 00:23:34,200 --> 00:23:36,840 Speaker 1: thing that's a it's an investment in community because I 382 00:23:36,840 --> 00:23:39,520 Speaker 1: think that's really the most restorative thing is you want 383 00:23:39,960 --> 00:23:42,840 Speaker 1: you want, you want this to reverberate for generations, much 384 00:23:42,880 --> 00:23:46,119 Speaker 1: in the same way the systemic racism has reverberated for 385 00:23:46,200 --> 00:23:49,800 Speaker 1: generations to this point. Um, And there aren't many dollar figures, 386 00:23:49,840 --> 00:23:52,960 Speaker 1: but this is sort of what they're describing this resolution 387 00:23:53,000 --> 00:23:57,000 Speaker 1: as saying, quote, the resulting budgetary and programmatic priorities may include, 388 00:23:57,000 --> 00:23:59,560 Speaker 1: but not be limited to, increasing minority home ownership and 389 00:23:59,600 --> 00:24:03,000 Speaker 1: access to other affordable housing, increasing minority business ownership and 390 00:24:03,080 --> 00:24:06,439 Speaker 1: career opportunities, strategies to grow equity and generational wealth, closing 391 00:24:06,440 --> 00:24:10,040 Speaker 1: the gaps in healthcare, education, employment and pay, neighborhood safety, 392 00:24:10,080 --> 00:24:14,040 Speaker 1: and fairness within criminal justice. So there's no I think 393 00:24:14,080 --> 00:24:16,800 Speaker 1: there's no dollar amounts yet assigned to these things. But 394 00:24:16,840 --> 00:24:19,359 Speaker 1: they're going to have a committee together to to begin 395 00:24:19,440 --> 00:24:21,959 Speaker 1: looking at these things. And I'm not sure where this 396 00:24:22,160 --> 00:24:23,840 Speaker 1: you know, what the end game is, but at the 397 00:24:23,920 --> 00:24:27,159 Speaker 1: very least, I think this is to me signaling that 398 00:24:27,400 --> 00:24:31,040 Speaker 1: a certain municipality is willing to have a really uh 399 00:24:31,320 --> 00:24:34,880 Speaker 1: seemingly to have an honest discussion about how to correct 400 00:24:34,920 --> 00:24:37,399 Speaker 1: these things. I don't know about that. I mean, I 401 00:24:37,440 --> 00:24:40,040 Speaker 1: don't see anything. And here about making Juneteenth a holiday, 402 00:24:40,040 --> 00:24:42,480 Speaker 1: I don't see anything here about the Black National Anthem 403 00:24:42,520 --> 00:24:45,600 Speaker 1: being performance reporting events. How can we even possibly think 404 00:24:45,640 --> 00:24:48,720 Speaker 1: this is what the Black Lives Matters protesters want. There's 405 00:24:48,760 --> 00:24:54,359 Speaker 1: nothing about that Golden Girls episode thirty rocks not mentioned once. 406 00:24:55,960 --> 00:24:59,840 Speaker 1: This is restorative. I mean, I think I really like 407 00:25:00,000 --> 00:25:02,240 Speaker 1: because I'd like this. I like this. This is basically 408 00:25:02,720 --> 00:25:05,840 Speaker 1: what people have been protesting about, which is the idea 409 00:25:05,880 --> 00:25:07,320 Speaker 1: of like, okay, but what can we do to actually 410 00:25:07,320 --> 00:25:10,160 Speaker 1: fix the systems that have been put in place over 411 00:25:10,160 --> 00:25:12,920 Speaker 1: the last hundred fifty years to keep it so that 412 00:25:13,000 --> 00:25:15,960 Speaker 1: black people have just have less in this country? So 413 00:25:16,040 --> 00:25:17,879 Speaker 1: I think that that's a really good model that they 414 00:25:17,920 --> 00:25:20,400 Speaker 1: put together. Yeah, I know that they're still waiting on 415 00:25:20,480 --> 00:25:24,800 Speaker 1: the county to also back this resolution, which you know 416 00:25:24,880 --> 00:25:27,359 Speaker 1: would would be very helpful. And I know that they're there. 417 00:25:27,480 --> 00:25:29,160 Speaker 1: There's gonna be a vote on that from their board 418 00:25:29,160 --> 00:25:32,320 Speaker 1: of supervisors or whatever that equivalent is for that county. Um, 419 00:25:32,480 --> 00:25:35,679 Speaker 1: So you know, it's a process, and I think, like anything, 420 00:25:35,680 --> 00:25:37,560 Speaker 1: there are a lot of people who called in to 421 00:25:37,560 --> 00:25:40,159 Speaker 1: to support it. Meant most people did, and a few 422 00:25:40,200 --> 00:25:43,640 Speaker 1: people came to do the usual. I didn't own slaves, 423 00:25:43,720 --> 00:25:46,840 Speaker 1: So what is the problem. It's like, Okay, you didn't 424 00:25:46,840 --> 00:25:49,840 Speaker 1: own slaves, but you are benefiting from slavery still, So 425 00:25:50,400 --> 00:25:53,000 Speaker 1: let's let's let's still look at that part two. That's 426 00:25:53,040 --> 00:25:55,800 Speaker 1: because that's all this really is, I think to your point, Hayz, 427 00:25:55,920 --> 00:25:59,719 Speaker 1: is to begin at least these opening our eyes, are 428 00:25:59,760 --> 00:26:03,800 Speaker 1: having municipalities and local governments and legislators open their eyes 429 00:26:03,840 --> 00:26:07,600 Speaker 1: to the actual things they can correct legislatively to begin 430 00:26:07,920 --> 00:26:10,600 Speaker 1: equaling things out. And even this is more substantive than 431 00:26:10,640 --> 00:26:12,400 Speaker 1: a lot of the things that I've seen thrown out 432 00:26:12,440 --> 00:26:16,439 Speaker 1: there by you know, corporations and local governments about what 433 00:26:16,600 --> 00:26:20,280 Speaker 1: can be done moving forward. It's it's not symbolic in 434 00:26:20,320 --> 00:26:25,359 Speaker 1: the way that a lot of these other things have been. Right. Yeah, Um, 435 00:26:25,440 --> 00:26:29,480 Speaker 1: it'll be interesting to see just, you know, how how 436 00:26:29,520 --> 00:26:32,200 Speaker 1: this has followed through on um, because like you said, 437 00:26:32,280 --> 00:26:36,800 Speaker 1: there are some additional you know, layers to to get through, 438 00:26:37,080 --> 00:26:40,840 Speaker 1: and also how the right attempts to kind of re 439 00:26:40,960 --> 00:26:45,760 Speaker 1: contextualize this. Uh. There there was a tweet yesterday from 440 00:26:46,040 --> 00:26:49,680 Speaker 1: uh Donald Trump about how Joe Biden is trying to 441 00:26:49,800 --> 00:26:55,120 Speaker 1: abolish suburbs, which was I'm pretty sure just his way 442 00:26:55,160 --> 00:27:00,520 Speaker 1: of talking about redlining, but because you know, he his 443 00:27:00,720 --> 00:27:05,560 Speaker 1: definition of suburbs is a place where white supremacists can 444 00:27:05,960 --> 00:27:11,239 Speaker 1: live amongst each other and feel protected. He's describing that 445 00:27:11,320 --> 00:27:16,359 Speaker 1: as abolishing suburbs, and I feel like that's going to 446 00:27:17,240 --> 00:27:22,159 Speaker 1: you know, it's pretty transparently stupid, and I do feel like, well, 447 00:27:22,800 --> 00:27:25,960 Speaker 1: eventually kind of that that will come out in the wash, 448 00:27:26,080 --> 00:27:28,800 Speaker 1: but well, this is also the kind of you know, 449 00:27:28,960 --> 00:27:33,960 Speaker 1: any sort of restorative measure that takes an actual problem 450 00:27:34,119 --> 00:27:37,399 Speaker 1: that the government has caused, like something like this, the 451 00:27:37,480 --> 00:27:39,720 Speaker 1: right will just be like, you see what's happening. I mean, 452 00:27:39,720 --> 00:27:42,240 Speaker 1: this is why we don't have ppe for our nurses 453 00:27:42,480 --> 00:27:45,080 Speaker 1: and why you know, we're not able to pay our police. 454 00:27:45,080 --> 00:27:47,480 Speaker 1: It's because we do things like just throw money away 455 00:27:47,520 --> 00:27:49,480 Speaker 1: at people who are just going to X, Y and z. 456 00:27:49,960 --> 00:27:51,879 Speaker 1: That that that that that like, I feel that's that 457 00:27:51,920 --> 00:27:55,840 Speaker 1: will probably be their laziest, instant sort of reactionary talking point, 458 00:27:56,359 --> 00:27:58,399 Speaker 1: because that's always it's always a good way to be like, 459 00:27:58,440 --> 00:28:01,359 Speaker 1: oh yeah, that's the reason why, um, there is very little. 460 00:28:01,359 --> 00:28:04,919 Speaker 1: It's not because we're you know, misappropriating all these this 461 00:28:05,040 --> 00:28:06,840 Speaker 1: money and giving it away to people who don't need it. 462 00:28:07,359 --> 00:28:09,919 Speaker 1: What's interesting about that, like abolishing the suburbs thing to 463 00:28:10,000 --> 00:28:13,280 Speaker 1: me is that even though clearly on its face it's not, 464 00:28:13,600 --> 00:28:16,280 Speaker 1: it's nonsensical, doesn't make any sense. But if you think 465 00:28:16,320 --> 00:28:18,560 Speaker 1: about it for a second and you really think about 466 00:28:18,800 --> 00:28:20,880 Speaker 1: the sort of like nimbism that not in my backyard, 467 00:28:20,920 --> 00:28:26,040 Speaker 1: nous that has suburbs refusing to allow low, low, low 468 00:28:26,320 --> 00:28:29,520 Speaker 1: cost housing in their areas so that they don't get 469 00:28:29,560 --> 00:28:33,240 Speaker 1: minorities moving into it, or the or not having multi 470 00:28:33,240 --> 00:28:35,760 Speaker 1: family units available. They know, we're going to keep it 471 00:28:35,800 --> 00:28:37,320 Speaker 1: to the one family house out here because this is 472 00:28:37,359 --> 00:28:38,760 Speaker 1: the suburb, and that's what we've done and that's what 473 00:28:38,800 --> 00:28:42,320 Speaker 1: we will do. If you look at changes to that 474 00:28:42,440 --> 00:28:46,560 Speaker 1: system as quote abolishing the suburbs, it's, you know, sort 475 00:28:46,640 --> 00:28:49,560 Speaker 1: of if you squint and turn your head, a policy 476 00:28:49,560 --> 00:28:52,000 Speaker 1: goal that a lot of people who support Joe Biden 477 00:28:52,040 --> 00:28:55,480 Speaker 1: also support, and but the way that the president frames 478 00:28:55,520 --> 00:28:58,480 Speaker 1: it is just so easily knocked down as a way 479 00:28:58,520 --> 00:29:01,320 Speaker 1: of trying to rile up his bay. Uh. It is 480 00:29:01,400 --> 00:29:05,120 Speaker 1: so transparent that the the suburban moms that he's trying 481 00:29:05,120 --> 00:29:07,480 Speaker 1: to win over, I feel like very few of them 482 00:29:07,480 --> 00:29:09,560 Speaker 1: are going to see that tweet or here that that 483 00:29:09,600 --> 00:29:12,520 Speaker 1: tweet went out there and suddenly think, oh my gosh, 484 00:29:12,560 --> 00:29:14,680 Speaker 1: Donald Trump is the one who's going to protect us 485 00:29:15,120 --> 00:29:19,600 Speaker 1: from the incoming hordes who are trying to destroy my township. 486 00:29:20,000 --> 00:29:23,120 Speaker 1: I think that's his next play, is to go for uh, 487 00:29:23,360 --> 00:29:26,760 Speaker 1: like what's left of like racist white mothers who are 488 00:29:26,760 --> 00:29:29,480 Speaker 1: still in the voting base. Because we were talking about 489 00:29:29,520 --> 00:29:31,360 Speaker 1: this a couple of weeks ago with all like the 490 00:29:31,800 --> 00:29:35,440 Speaker 1: rise of Karen Imagery and like these incidences. But you know, 491 00:29:35,440 --> 00:29:37,040 Speaker 1: I was bringing up the point like let's not forget 492 00:29:37,080 --> 00:29:39,760 Speaker 1: the role white women and mothers especially have had in 493 00:29:40,280 --> 00:29:45,640 Speaker 1: like maintaining white supremacy and segregating neighborhoods and schools and 494 00:29:45,680 --> 00:29:49,080 Speaker 1: things like that. Like they had a very very pivotal 495 00:29:49,200 --> 00:29:51,160 Speaker 1: role in all of that. When the men who were 496 00:29:51,200 --> 00:29:53,960 Speaker 1: failing on Capitol Hill with things like getting the damn 497 00:29:54,040 --> 00:29:56,120 Speaker 1: voting it was Civil Rights Act pass? What the heck 498 00:29:56,120 --> 00:29:58,920 Speaker 1: happened up there, guys, then they can pivot to, well, 499 00:29:58,960 --> 00:30:00,960 Speaker 1: how do we how do we have more teachers that 500 00:30:00,960 --> 00:30:02,680 Speaker 1: can point out kids who might be trying to pass 501 00:30:02,720 --> 00:30:05,760 Speaker 1: his white in this neighborhood? Can we have uh, you know, 502 00:30:05,840 --> 00:30:09,480 Speaker 1: like how set up these pta boards to also you know, 503 00:30:09,520 --> 00:30:13,520 Speaker 1: communicate to other parents that, uh, school choice is very 504 00:30:13,600 --> 00:30:16,440 Speaker 1: important and how important it is to deracialize a lot 505 00:30:16,520 --> 00:30:18,800 Speaker 1: of this language to also say the same thing. So 506 00:30:18,840 --> 00:30:21,280 Speaker 1: this is the same in sense by saying abolish the 507 00:30:21,320 --> 00:30:23,800 Speaker 1: suburbs or just saying is black and brown folks are 508 00:30:23,800 --> 00:30:26,080 Speaker 1: going to move into your neighborhood and you don't want that. 509 00:30:26,680 --> 00:30:29,760 Speaker 1: It's I think that's the only you know, I think 510 00:30:30,160 --> 00:30:33,560 Speaker 1: the one the one group that is maybe changing, you know, 511 00:30:33,600 --> 00:30:36,160 Speaker 1: Like I feel like the male vote who was voting 512 00:30:36,200 --> 00:30:37,840 Speaker 1: for him, I don't know. I'm pretty sure that is 513 00:30:37,880 --> 00:30:40,520 Speaker 1: maybe more solid, but with women it's been the biggest chain. 514 00:30:40,640 --> 00:30:43,480 Speaker 1: So maybe this is why the MS thirteen stuff is 515 00:30:43,520 --> 00:30:45,720 Speaker 1: also coming back out of his mouth as well, to 516 00:30:45,800 --> 00:30:48,920 Speaker 1: be like, you never know because it's open borders now, 517 00:30:48,960 --> 00:30:51,120 Speaker 1: it's everything to you know too, I think appeal to 518 00:30:51,160 --> 00:30:54,600 Speaker 1: someone's trying to make as opposed to a referendum on him. 519 00:30:55,120 --> 00:30:57,400 Speaker 1: You want the referendum to be will you feel safe 520 00:30:58,320 --> 00:31:01,160 Speaker 1: under a Biden administration? And he's just throwing everything out 521 00:31:01,160 --> 00:31:03,760 Speaker 1: there that he thinks might stick since it worked in 522 00:31:05,000 --> 00:31:08,400 Speaker 1: that I mean the fact that his American carnage speech 523 00:31:08,400 --> 00:31:12,000 Speaker 1: in two seen when he was inaugurated, the fact that 524 00:31:12,040 --> 00:31:15,160 Speaker 1: he probably would still stay the same thing now and 525 00:31:15,280 --> 00:31:17,680 Speaker 1: but think that it would be a good reelection. Bid 526 00:31:17,880 --> 00:31:20,920 Speaker 1: is really telling, right, I Mean he kind of did 527 00:31:21,000 --> 00:31:24,520 Speaker 1: at amount rushmore on ly four, Like his speech was 528 00:31:24,760 --> 00:31:29,560 Speaker 1: very reminiscent of the American the American carnage speech. Uh. 529 00:31:29,600 --> 00:31:34,080 Speaker 1: And it is three years into his administration. Uh. Yeah, 530 00:31:34,120 --> 00:31:38,160 Speaker 1: I've heard people's kind of analysis of the election and 531 00:31:38,280 --> 00:31:42,840 Speaker 1: his lagging poll numbers, although they are starting to stabilize 532 00:31:42,840 --> 00:31:46,479 Speaker 1: and even move up according to five thirty eight. But uh, 533 00:31:47,040 --> 00:31:51,400 Speaker 1: you know the fact that he's down nine ten points 534 00:31:51,440 --> 00:31:56,120 Speaker 1: on average to BIDE nationwide, being like just the sheer 535 00:31:57,360 --> 00:32:00,440 Speaker 1: enormous difference of being somebody who's gonna com in and 536 00:32:00,520 --> 00:32:03,360 Speaker 1: change everything and somebody who's been there for four years. 537 00:32:03,400 --> 00:32:07,160 Speaker 1: It doesn't how do you complain about the state of 538 00:32:07,200 --> 00:32:10,240 Speaker 1: the country that you've been running by making it not 539 00:32:10,480 --> 00:32:13,240 Speaker 1: your fault. It's the team state and or Obama left 540 00:32:13,280 --> 00:32:18,720 Speaker 1: you the lack of testing for coronavirus um. But it's 541 00:32:18,760 --> 00:32:20,720 Speaker 1: like being drunk in a car. You're driving a car 542 00:32:21,080 --> 00:32:23,280 Speaker 1: and you're like, the heck is wrong with this thing? Man? 543 00:32:23,680 --> 00:32:28,720 Speaker 1: You're like, you have the wheel You're talking about this. 544 00:32:29,000 --> 00:32:30,680 Speaker 1: I'm telling you, I don't know who built this. We 545 00:32:30,800 --> 00:32:33,760 Speaker 1: gotta this thing. You gotta get a refund on this man, 546 00:32:33,760 --> 00:32:39,040 Speaker 1: I'll tell you what. Yeah. Um, But the abolishing the 547 00:32:39,080 --> 00:32:42,600 Speaker 1: suburbs thing I feel like is you know that that's 548 00:32:42,640 --> 00:32:48,360 Speaker 1: still like pretty easy to sort through. But I think 549 00:32:48,400 --> 00:32:52,080 Speaker 1: the place that the rubber will still hit the road 550 00:32:52,400 --> 00:32:56,760 Speaker 1: is people complaining about like, well, my property value would 551 00:32:56,800 --> 00:33:01,280 Speaker 1: go down or uh, you know if if they brought 552 00:33:01,360 --> 00:33:05,720 Speaker 1: in affordable housing into my neighborhood. Um, And that's where 553 00:33:05,720 --> 00:33:09,680 Speaker 1: people are going to have to really understand that your 554 00:33:10,320 --> 00:33:15,440 Speaker 1: property value and the whole system that property ownership is 555 00:33:15,600 --> 00:33:20,000 Speaker 1: built on is you know, based on white supremacy and 556 00:33:20,080 --> 00:33:23,680 Speaker 1: an unfair system, and you need to suck it up, 557 00:33:24,840 --> 00:33:27,960 Speaker 1: especially when those property values actually complaining about possibly going 558 00:33:28,000 --> 00:33:31,160 Speaker 1: down were exactly what black people were forbidden from actually 559 00:33:31,320 --> 00:33:34,920 Speaker 1: having access to and allowing for generational wealth to come 560 00:33:34,960 --> 00:33:39,240 Speaker 1: into place. So you didn't do it then, so you 561 00:33:39,360 --> 00:33:42,680 Speaker 1: probably have to do it soon. So that's that's just 562 00:33:42,680 --> 00:33:44,560 Speaker 1: just catching up to you. I mean, you waited and 563 00:33:44,600 --> 00:33:47,160 Speaker 1: I you waited for it, and now the check is due. 564 00:33:47,160 --> 00:33:52,120 Speaker 1: So sorry my guys. Yeah. The Trump administration's war on 565 00:33:52,600 --> 00:33:59,360 Speaker 1: science continues. Specifically, Trump and some of his main cabinet people, 566 00:33:59,400 --> 00:34:04,080 Speaker 1: Peter and Nabarrow are doing everything they can to uh 567 00:34:04,480 --> 00:34:08,279 Speaker 1: just try and debunk Fauci now the c d C 568 00:34:09,239 --> 00:34:11,880 Speaker 1: and I don't know, it doesn't it doesn't seem like 569 00:34:12,120 --> 00:34:15,359 Speaker 1: it's working. But I do know that when when they 570 00:34:15,400 --> 00:34:20,200 Speaker 1: first started, uh you know, even quietly behind the scenes 571 00:34:20,200 --> 00:34:24,480 Speaker 1: shipped talking Fauci, uh you know, he needed to suddenly 572 00:34:24,560 --> 00:34:27,799 Speaker 1: get armed security at his house because of all the 573 00:34:27,880 --> 00:34:31,399 Speaker 1: death threats that were coming in from the president's supporters. 574 00:34:31,640 --> 00:34:35,000 Speaker 1: So I can only imagine what's what's happening now that 575 00:34:35,280 --> 00:34:38,560 Speaker 1: he has to just come out and be like, guys, 576 00:34:38,640 --> 00:34:41,800 Speaker 1: can we just knock knock the ship at all? He's 577 00:34:41,880 --> 00:34:45,279 Speaker 1: it's so they're like, now he's getting mad at an 578 00:34:45,280 --> 00:34:47,759 Speaker 1: op ed. You know, he authorized to be written. So 579 00:34:47,800 --> 00:34:51,200 Speaker 1: Peter Navarro, who I guess his op ed that was 580 00:34:51,239 --> 00:34:53,600 Speaker 1: slamming Fauci, were supposed to believe him more because he's 581 00:34:53,600 --> 00:34:57,840 Speaker 1: an economist and that's why we should value his just 582 00:34:58,000 --> 00:35:00,760 Speaker 1: as the OpEd was like, Anthony Fouch, He's been wrong 583 00:35:00,880 --> 00:35:05,200 Speaker 1: about fucking every single thing I've talked to him about. 584 00:35:05,600 --> 00:35:09,319 Speaker 1: He said, uh, you know that there was nothing to 585 00:35:09,400 --> 00:35:12,399 Speaker 1: worry about, that it's gonna be fine, that we don't 586 00:35:12,400 --> 00:35:14,520 Speaker 1: have to worry. He was like, it was all kinds 587 00:35:14,560 --> 00:35:16,600 Speaker 1: of misleading ship. A lot of things that he was saying, 588 00:35:16,600 --> 00:35:18,239 Speaker 1: like he really he I think he mentioned one of 589 00:35:18,239 --> 00:35:20,800 Speaker 1: the moments where Fauci I think went on Joe Scarborough 590 00:35:20,880 --> 00:35:23,919 Speaker 1: Show and said, Hey, there's a chance that this could 591 00:35:23,920 --> 00:35:28,400 Speaker 1: be low impact if we have testing that is robust 592 00:35:28,520 --> 00:35:31,360 Speaker 1: and we have containment policies that are going to actually 593 00:35:31,400 --> 00:35:34,400 Speaker 1: contain this. If we can do those things, we have 594 00:35:34,480 --> 00:35:37,680 Speaker 1: a chance of this not being a horrific ship show. 595 00:35:38,120 --> 00:35:39,920 Speaker 1: But then he's just like, and that's what it is. 596 00:35:40,480 --> 00:35:42,120 Speaker 1: And then we find out that the White House was 597 00:35:42,160 --> 00:35:44,560 Speaker 1: putting him up driving like, oh you know, actually he 598 00:35:44,600 --> 00:35:47,279 Speaker 1: went he went like rogue on that, So that's not 599 00:35:47,360 --> 00:35:51,880 Speaker 1: what the president believes. Sure, sure, jan okay. But what 600 00:35:51,960 --> 00:35:55,160 Speaker 1: gets me about that and the anonymous thing that the 601 00:35:55,160 --> 00:35:57,880 Speaker 1: White House put over the weekend. The list of times 602 00:35:57,880 --> 00:36:01,080 Speaker 1: that Fauci has been wrong. So many of those are 603 00:36:01,120 --> 00:36:03,840 Speaker 1: from like when we had known about the existence of 604 00:36:03,840 --> 00:36:07,080 Speaker 1: COVID nineteen for like a month, Like we did not 605 00:36:07,280 --> 00:36:11,319 Speaker 1: know about asymptomatic transmissions in the end of January, and 606 00:36:11,360 --> 00:36:17,040 Speaker 1: how prevalent that actually was or wasn't. When they first said, hey, guys, 607 00:36:17,120 --> 00:36:20,319 Speaker 1: don't hoard masks, they meant the medicals, grade surgical masks 608 00:36:20,360 --> 00:36:23,879 Speaker 1: and the in uh and honestly, people were thinking about 609 00:36:23,880 --> 00:36:25,319 Speaker 1: it the wrong way. Then people are like, oh, I 610 00:36:25,320 --> 00:36:28,400 Speaker 1: need to protect myself, and now they're trying to say, oh, no, 611 00:36:28,480 --> 00:36:30,720 Speaker 1: you need to protect others and wear masks protect others. 612 00:36:30,719 --> 00:36:33,120 Speaker 1: And I don't think so. I don't buy it. You 613 00:36:33,160 --> 00:36:36,520 Speaker 1: were wrong about masks before. Yeah, if you listen to 614 00:36:36,640 --> 00:36:43,920 Speaker 1: just the word mask. Also that Jim Carrey movies completely unhinged. 615 00:36:44,360 --> 00:36:47,880 Speaker 1: So I'm just gonna choose to ignore everything except that 616 00:36:47,920 --> 00:36:50,799 Speaker 1: one bar where ben Stein ben Stein says we all 617 00:36:50,840 --> 00:36:54,920 Speaker 1: wear masks metaphorically speaking, it's a it's a it's a 618 00:36:54,920 --> 00:36:57,280 Speaker 1: throwaway line in the film, But I that that stuck 619 00:36:57,280 --> 00:37:00,239 Speaker 1: with me. That's the one takeaway from that movie. Tick 620 00:37:00,520 --> 00:37:03,640 Speaker 1: the Cuban Pete dancing stuck with me. So your own 621 00:37:04,480 --> 00:37:07,439 Speaker 1: the King of the Ramba beat. Because this whole thing 622 00:37:07,520 --> 00:37:11,360 Speaker 1: is like, really, it's just weird too, because this whole 623 00:37:11,440 --> 00:37:15,560 Speaker 1: like attack or there's this whole strategy of going all 624 00:37:15,680 --> 00:37:19,200 Speaker 1: in against the c d C. I'm not sure that 625 00:37:19,200 --> 00:37:21,840 Speaker 1: that's helping his numbers in terms of how the public 626 00:37:21,920 --> 00:37:26,240 Speaker 1: is already very much aware that they trust Anthony Faucci 627 00:37:26,360 --> 00:37:30,080 Speaker 1: over the president. So I'm not what aside from just 628 00:37:30,480 --> 00:37:32,440 Speaker 1: you know, I guess this is purely just to satisfy 629 00:37:32,520 --> 00:37:37,640 Speaker 1: Trump's very superficial impulses to say like not ah, like 630 00:37:37,719 --> 00:37:40,640 Speaker 1: in his version with his surrogates and aids out there. 631 00:37:40,640 --> 00:37:43,640 Speaker 1: But that's not that doesn't help because you're dealing with 632 00:37:43,680 --> 00:37:47,000 Speaker 1: a problem that requires empathy, which you have none of, 633 00:37:47,080 --> 00:37:50,520 Speaker 1: and the party has none of. That's really big like this, 634 00:37:50,800 --> 00:37:52,440 Speaker 1: we always like suspect you're like, oh, well, you know, 635 00:37:52,480 --> 00:37:54,480 Speaker 1: it's it's a lack of empathy. But now when you're 636 00:37:54,480 --> 00:37:56,680 Speaker 1: really being like, yeah, man, get these kids into school 637 00:37:56,680 --> 00:37:58,359 Speaker 1: and maybe they could die. I don't know, maybe these 638 00:37:58,360 --> 00:38:00,239 Speaker 1: teachers could die, I don't know, whatever, get him there, 639 00:38:00,239 --> 00:38:02,680 Speaker 1: because we've got to get this economy going, like what 640 00:38:03,000 --> 00:38:06,799 Speaker 1: really really really Yeah. Fauci had an interesting interview in 641 00:38:07,080 --> 00:38:09,760 Speaker 1: The Atlantic I believe it was yesterday at this point, 642 00:38:10,320 --> 00:38:12,759 Speaker 1: uh that Jess basically said like, I don't know what 643 00:38:12,800 --> 00:38:15,319 Speaker 1: they're doing right now, trying to attack me and really 644 00:38:15,520 --> 00:38:19,000 Speaker 1: making them look bad and dumb. So I don't get 645 00:38:19,000 --> 00:38:21,759 Speaker 1: it right, That's how I assume he was saying, in 646 00:38:21,760 --> 00:38:27,319 Speaker 1: his very Faucci in tone, Um, but yeah, yeah, yeah, 647 00:38:27,360 --> 00:38:29,359 Speaker 1: the Fauci the Faucci and bargain is you wear a 648 00:38:29,360 --> 00:38:36,320 Speaker 1: mask and you live. Yeah, what's the catch? You live? Whoa? 649 00:38:37,719 --> 00:38:40,479 Speaker 1: But then the deep state wins a pretty good deal. Yeah. 650 00:38:40,520 --> 00:38:42,239 Speaker 1: I don't know though if it's worth giving my soul 651 00:38:42,239 --> 00:38:45,759 Speaker 1: to the devil and five G. So yeah, I know 652 00:38:45,760 --> 00:38:51,000 Speaker 1: where I'm going after this. Try asshole, he's trying, that's 653 00:38:51,000 --> 00:38:53,200 Speaker 1: all I'm going to have it. That's the thing you 654 00:38:53,239 --> 00:38:55,840 Speaker 1: always hear this. There's so much heaven mixed up in 655 00:38:55,880 --> 00:38:58,440 Speaker 1: the mask wearing two because all the you know, Q 656 00:38:58,560 --> 00:39:02,960 Speaker 1: and on conspiracy stuff, that's tie my god with heaven. Yeah, 657 00:39:03,160 --> 00:39:05,319 Speaker 1: there's a lot of heaven hell dynamic because you know, 658 00:39:05,400 --> 00:39:08,160 Speaker 1: this is a good It flows right, It rolls right 659 00:39:08,200 --> 00:39:11,000 Speaker 1: off the tongue very It follows a nice after you've 660 00:39:11,000 --> 00:39:13,480 Speaker 1: had a bite of satanic panic from the eighties. This 661 00:39:13,640 --> 00:39:15,279 Speaker 1: you just followed up a little Q and on and 662 00:39:15,320 --> 00:39:19,719 Speaker 1: it finishes just beautifully in your mouth end in your brain. Um. 663 00:39:19,800 --> 00:39:22,400 Speaker 1: The thing with the CDC also is that on top 664 00:39:22,440 --> 00:39:26,239 Speaker 1: of all this, they're now directing hospitals to bypass the 665 00:39:26,280 --> 00:39:30,239 Speaker 1: fucking c d C and send all of their information 666 00:39:30,280 --> 00:39:33,759 Speaker 1: that they gather from like COVID patients just to go 667 00:39:34,000 --> 00:39:37,200 Speaker 1: You know, just a central database in Washington, so let's 668 00:39:37,200 --> 00:39:40,319 Speaker 1: just let's just go around. Then we'll let HHS look 669 00:39:40,320 --> 00:39:42,000 Speaker 1: at that a little bit, but we don't need the 670 00:39:42,040 --> 00:39:45,080 Speaker 1: CDC because they're gonna science it up again. And it's 671 00:39:45,160 --> 00:39:48,479 Speaker 1: really dark because all this based on everything I've seen 672 00:39:48,520 --> 00:39:51,239 Speaker 1: from this administration. This the fact that the c d C, 673 00:39:51,600 --> 00:39:53,960 Speaker 1: you know, a body, an organization that we can trust 674 00:39:53,960 --> 00:39:55,960 Speaker 1: that they aren't going to completely pervert these numbers we 675 00:39:56,040 --> 00:39:59,120 Speaker 1: know if it's in the hands of the administration. Can 676 00:39:59,120 --> 00:40:01,320 Speaker 1: only imagine what kind of bullshit is going to happen 677 00:40:01,320 --> 00:40:05,200 Speaker 1: with this, right because the CDC only has one political appointee, 678 00:40:05,200 --> 00:40:10,239 Speaker 1: the director. Everyone else's career scientist or civil servant as 679 00:40:10,440 --> 00:40:14,759 Speaker 1: clearly not the case. Um. So already we're starting to 680 00:40:14,800 --> 00:40:18,240 Speaker 1: see that some of the data that you would normally 681 00:40:18,280 --> 00:40:21,560 Speaker 1: see uh coming out from the CDC has been delayed. 682 00:40:22,400 --> 00:40:24,760 Speaker 1: I remember seeing that there was at least one state 683 00:40:25,080 --> 00:40:27,640 Speaker 1: who said that because of new federal reporting requirements, the 684 00:40:27,719 --> 00:40:29,640 Speaker 1: data that we normally put out right about now is 685 00:40:29,680 --> 00:40:32,239 Speaker 1: going to be late. Um. The c d C S 686 00:40:32,360 --> 00:40:35,319 Speaker 1: tracker is currently behind. So it's it's going to be 687 00:40:35,840 --> 00:40:39,640 Speaker 1: curious to see what the numbers look like in like 688 00:40:39,719 --> 00:40:43,080 Speaker 1: a week from now, and I am already looking forward 689 00:40:43,160 --> 00:40:45,920 Speaker 1: to what I'm sure is going to be an amazing 690 00:40:45,960 --> 00:40:47,920 Speaker 1: story that some outlet is going to write based off 691 00:40:47,920 --> 00:40:52,279 Speaker 1: a FOIA documents from HHS that described the discussion that 692 00:40:52,480 --> 00:40:56,319 Speaker 1: got this new system put into place. Now is have 693 00:40:56,480 --> 00:41:00,319 Speaker 1: they successfully done that? Like, have they successfully circumnavigated gone 694 00:41:00,360 --> 00:41:02,799 Speaker 1: around the CDC? Yeah, it's done. Deal, it's a deal. 695 00:41:02,960 --> 00:41:05,520 Speaker 1: Like the order is already out that hospitals now have 696 00:41:05,600 --> 00:41:08,400 Speaker 1: to report it to HHS instead of the CDC. And 697 00:41:08,440 --> 00:41:10,680 Speaker 1: don't get me wrong, the CDC has made mistakes. Their 698 00:41:10,960 --> 00:41:15,120 Speaker 1: system for reporting is outdated. They needed to like update 699 00:41:15,160 --> 00:41:18,680 Speaker 1: how the system works. But this was not the proper 700 00:41:18,840 --> 00:41:23,040 Speaker 1: solution that the department, like retirement community for big pharmagoon 701 00:41:23,200 --> 00:41:25,319 Speaker 1: lobbyists will be like yeah, yeah, yeah, I get them 702 00:41:25,320 --> 00:41:28,720 Speaker 1: in there and they'll let them handle that. The numbers 703 00:41:28,719 --> 00:41:32,160 Speaker 1: in there, jesus. Yeah, so the numbers are going to 704 00:41:32,239 --> 00:41:35,200 Speaker 1: suddenly start looking much better last time I checked. Even 705 00:41:35,239 --> 00:41:37,960 Speaker 1: with all this bullshit, this man is he's running for 706 00:41:38,040 --> 00:41:41,000 Speaker 1: re election, not against the fucking c d C or 707 00:41:41,040 --> 00:41:45,279 Speaker 1: Anthony Fauci, and like, except he is, he is in 708 00:41:45,360 --> 00:41:49,279 Speaker 1: his right because they're they're creating the reality you are saying. Yes, 709 00:41:49,600 --> 00:41:52,919 Speaker 1: there's the one saying ship's bad. Right now. He wants 710 00:41:52,960 --> 00:41:56,520 Speaker 1: people say, actually, ship is getting better, the ship is fine. 711 00:41:56,840 --> 00:42:01,080 Speaker 1: That ship you smell delightful ruses mm hmm. You didn't 712 00:42:01,120 --> 00:42:03,960 Speaker 1: step in chit. Oh yeah, those those books are wrong. 713 00:42:04,040 --> 00:42:05,680 Speaker 1: Your nose is all fucked up. That's the thing you 714 00:42:05,680 --> 00:42:08,960 Speaker 1: don't realize. Yeah, it's not a symptom of COVID nineteen. 715 00:42:10,680 --> 00:42:13,160 Speaker 1: Don't know. No, don't worry about it. Don't worry about it. 716 00:42:14,280 --> 00:42:16,480 Speaker 1: All right, guys, let's take another quick break and we'll 717 00:42:16,520 --> 00:42:30,960 Speaker 1: be back with the Wayfair conspiracy. And we're back. Uh 718 00:42:31,360 --> 00:42:38,120 Speaker 1: you guys ready for for some truth bombs because um so, 719 00:42:39,239 --> 00:42:42,479 Speaker 1: I'm just sorry the fact that we're going that we're 720 00:42:42,600 --> 00:42:45,319 Speaker 1: you know, we're about to talk about how people think 721 00:42:45,640 --> 00:42:49,360 Speaker 1: wait fair, you get just what I need is is 722 00:42:49,480 --> 00:42:55,040 Speaker 1: involved with human trafficking. Um, I can't stop. I don't know. 723 00:42:55,080 --> 00:42:59,680 Speaker 1: Like I laughed because I'm so shocked and sad because 724 00:42:59,680 --> 00:43:01,560 Speaker 1: I's the only thing I can do Otherwise I'm like, 725 00:43:01,760 --> 00:43:05,960 Speaker 1: oh man, so many brains are rotten like and are 726 00:43:06,560 --> 00:43:09,359 Speaker 1: thinking they got superpowers to connect these you know, see 727 00:43:09,360 --> 00:43:12,680 Speaker 1: the fucking matrix. Somehow out of nowhere scrolling on fucking 728 00:43:13,040 --> 00:43:21,680 Speaker 1: chrome all day. Yeah, they so. So basically, somebody noticed that, um, 729 00:43:21,719 --> 00:43:27,319 Speaker 1: there were some cabinets, uh, and you know, dressers and 730 00:43:27,920 --> 00:43:32,840 Speaker 1: various pieces of furniture that cost more than they should 731 00:43:32,920 --> 00:43:38,840 Speaker 1: They cost five figures. And they also noticed that some 732 00:43:39,040 --> 00:43:45,320 Speaker 1: of those cabinets had girls names like you know, Karen 733 00:43:45,800 --> 00:43:52,560 Speaker 1: jen h. And they searched the database and noticed that 734 00:43:52,719 --> 00:43:56,520 Speaker 1: some of those are the names of missing children, and 735 00:43:56,920 --> 00:44:02,640 Speaker 1: boom bang bing, they drew the conclusion that this is 736 00:44:03,239 --> 00:44:09,400 Speaker 1: how the deep state cabal is smuggling child slaves. Now 737 00:44:09,600 --> 00:44:14,359 Speaker 1: is is inside of these cabinets? I guess is they've 738 00:44:14,360 --> 00:44:17,160 Speaker 1: moved on from pizza parlors. They realized they've been found 739 00:44:17,160 --> 00:44:20,160 Speaker 1: out and moved on and they're smarter. They've got even 740 00:44:20,239 --> 00:44:23,400 Speaker 1: smarter than to do it at a Ping pong pizza restaurant, 741 00:44:23,840 --> 00:44:26,360 Speaker 1: uh that you know, doing it there in the in 742 00:44:26,440 --> 00:44:29,400 Speaker 1: full public view. Now they're smarter. Now it's on wayfair 743 00:44:29,480 --> 00:44:31,640 Speaker 1: and it's the kid's names and you can just order 744 00:44:31,680 --> 00:44:35,080 Speaker 1: it like a cabinet. That's how they've done it. Really 745 00:44:35,120 --> 00:44:36,799 Speaker 1: is sort of to the point of like not being 746 00:44:36,840 --> 00:44:39,440 Speaker 1: able to say you're wrong. You arrive at this, you 747 00:44:39,480 --> 00:44:41,839 Speaker 1: get this kind of momentum where you end up at 748 00:44:41,880 --> 00:44:46,520 Speaker 1: a Wayfair page and go, oh shit, hold on the anya, 749 00:44:46,719 --> 00:44:51,359 Speaker 1: shorty cabinet is ten nine dollars. This is how they're 750 00:44:51,400 --> 00:44:54,480 Speaker 1: doing it because there's on your way here. You have 751 00:44:54,600 --> 00:44:57,800 Speaker 1: not for once ever doubted or even took the second 752 00:44:57,840 --> 00:45:01,120 Speaker 1: to to question what you believe, whether that's you know, 753 00:45:01,280 --> 00:45:05,759 Speaker 1: based on anything tangible or real. So the furniture they 754 00:45:05,760 --> 00:45:11,200 Speaker 1: were looking at is more expensive because it is commercial industrial. 755 00:45:11,320 --> 00:45:14,360 Speaker 1: So they were looking at like home prices, what what 756 00:45:14,440 --> 00:45:17,680 Speaker 1: a cabinet like that would cost in in uh, the 757 00:45:17,760 --> 00:45:20,920 Speaker 1: home department, but they were actually in the commercial department 758 00:45:20,960 --> 00:45:25,000 Speaker 1: where the cabinets are bigger, essentially, and they just ignored 759 00:45:25,080 --> 00:45:29,000 Speaker 1: that fact. Use there for it's like for a fucking 760 00:45:29,440 --> 00:45:31,520 Speaker 1: not for your home. It's just it just happens to 761 00:45:31,560 --> 00:45:35,320 Speaker 1: also be on way Wayfair. So but they just ignored 762 00:45:35,400 --> 00:45:38,520 Speaker 1: that detail, and that one detail could have cleared it up. 763 00:45:38,680 --> 00:45:45,640 Speaker 1: But instead details are for cowards, sheep, Keep thinking the 764 00:45:45,640 --> 00:45:47,399 Speaker 1: cool aid, sheep, where your masks you're going to help? 765 00:45:47,440 --> 00:45:53,880 Speaker 1: So because obviously human traffickers love including clues and Easter 766 00:45:53,920 --> 00:45:57,440 Speaker 1: eggs that could lead to them being caught like batman villains. 767 00:45:58,000 --> 00:46:02,640 Speaker 1: Uh yeah, So This started with like a I think 768 00:46:02,640 --> 00:46:08,400 Speaker 1: it's a interior design influencer, and then another lifestyle influencer 769 00:46:08,440 --> 00:46:14,080 Speaker 1: picked it up. But it's the influencers, man. But I 770 00:46:14,600 --> 00:46:17,560 Speaker 1: honestly this is one of those stories where I look 771 00:46:17,640 --> 00:46:20,839 Speaker 1: at it and I'm like, well, so what do like 772 00:46:21,200 --> 00:46:23,160 Speaker 1: is the internet just bad? Do we just give up 773 00:46:23,160 --> 00:46:25,520 Speaker 1: on the internet? Like? How do we do we do? 774 00:46:25,640 --> 00:46:28,600 Speaker 1: What do we do with this? It's such a mess. 775 00:46:28,680 --> 00:46:31,240 Speaker 1: And that's such a big broad question to consider because 776 00:46:31,680 --> 00:46:36,359 Speaker 1: we have almost too much access to, again going back 777 00:46:36,360 --> 00:46:40,480 Speaker 1: to the beginning, uncontextualized information, and without that context, the 778 00:46:40,520 --> 00:46:45,640 Speaker 1: human brain fucking loves to find pictures in random noise. 779 00:46:46,000 --> 00:46:47,560 Speaker 1: That's how we were able to look up at the 780 00:46:47,640 --> 00:46:51,080 Speaker 1: stars in all of their millions go that's a bear 781 00:46:51,400 --> 00:46:55,839 Speaker 1: with a giant ass tail, Like what what it's up there? 782 00:46:58,520 --> 00:47:00,799 Speaker 1: And so we want to be able to find like 783 00:47:01,120 --> 00:47:03,920 Speaker 1: things that will make help us make sense of things. 784 00:47:04,160 --> 00:47:06,680 Speaker 1: But because there is so much more noise than our 785 00:47:06,719 --> 00:47:09,360 Speaker 1: brains are used to, it's becoming easier for people to 786 00:47:09,360 --> 00:47:11,879 Speaker 1: pick out those random patterns and just run with them. 787 00:47:12,320 --> 00:47:15,720 Speaker 1: And without the context, you need to be like, oh, 788 00:47:15,760 --> 00:47:19,280 Speaker 1: that's for industrial that's our industrial grade cabinets, you're storing 789 00:47:19,400 --> 00:47:23,520 Speaker 1: like giant like I don't know, collections of tools for 790 00:47:23,560 --> 00:47:26,520 Speaker 1: a huge as farm in one of these cabinets, not 791 00:47:26,960 --> 00:47:30,480 Speaker 1: your doll collection for your little girl. Then you can't 792 00:47:31,160 --> 00:47:33,439 Speaker 1: you find the patterns that are wrong, and you can't 793 00:47:33,440 --> 00:47:37,360 Speaker 1: admit that those patterns are wrong, and that that's fun 794 00:47:37,520 --> 00:47:40,640 Speaker 1: and it's exciting to think that you've just cracked the 795 00:47:40,680 --> 00:47:44,239 Speaker 1: code that is secretly like speaking of the matrix that 796 00:47:44,320 --> 00:47:46,799 Speaker 1: you've see, really that you've cracked the code and be 797 00:47:47,320 --> 00:47:52,520 Speaker 1: like gotten a unique insight into the secret that is 798 00:47:53,160 --> 00:47:56,200 Speaker 1: going on behind the scenes of the entire world. That 799 00:47:56,360 --> 00:48:01,960 Speaker 1: is powerful, that's a powerful drug and they don't want 800 00:48:01,960 --> 00:48:04,879 Speaker 1: to give up on it. And so okay, if this 801 00:48:05,040 --> 00:48:08,279 Speaker 1: was you know, two percent of the population that was 802 00:48:08,360 --> 00:48:11,319 Speaker 1: just like off in a corner somewhere, that that would 803 00:48:11,320 --> 00:48:14,239 Speaker 1: be one thing. But first of all, the president is 804 00:48:14,400 --> 00:48:17,920 Speaker 1: the president, the actual president of these United States is 805 00:48:18,160 --> 00:48:21,520 Speaker 1: trying to fan these flames because there some of his 806 00:48:21,920 --> 00:48:28,000 Speaker 1: mustnaunch supporters. Uh. There's also a writer JM pointed out 807 00:48:28,000 --> 00:48:32,680 Speaker 1: this Newsweek article, Uh that the title was here are 808 00:48:32,719 --> 00:48:36,360 Speaker 1: some of the celebrities who sell products on Wayfair, which 809 00:48:36,600 --> 00:48:40,399 Speaker 1: you would only be interested in for one reason. As 810 00:48:40,600 --> 00:48:46,000 Speaker 1: evidence that this conspiracy theory is true. This came out 811 00:48:46,080 --> 00:48:49,319 Speaker 1: after all this or like during the fervor, during the 812 00:48:49,320 --> 00:48:52,960 Speaker 1: fervor to exploit like yeah, yeah, totally s c O. 813 00:48:53,239 --> 00:48:57,520 Speaker 1: Like they see, uh, this theory lighting lighting up in 814 00:48:57,640 --> 00:48:59,920 Speaker 1: terms of traffic, and they were somebody on their STA 815 00:49:00,000 --> 00:49:02,239 Speaker 1: half is you know with it? You know what I mean? 816 00:49:02,880 --> 00:49:05,439 Speaker 1: Because I see it everywhere. I see that. I see 817 00:49:05,480 --> 00:49:07,959 Speaker 1: the I see the stencils and shipped on the street 818 00:49:08,000 --> 00:49:12,200 Speaker 1: in l A, like all the where we go. Yeah yeah, yeah, 819 00:49:12,280 --> 00:49:14,400 Speaker 1: like I see that on the street. It's it's around, 820 00:49:15,400 --> 00:49:18,000 Speaker 1: which is very It's funny because you don't notice it 821 00:49:18,080 --> 00:49:21,319 Speaker 1: till you're really looking. What the Okay that's what that is. 822 00:49:21,960 --> 00:49:26,359 Speaker 1: Uh shout out to the San Fernando Valley. But this 823 00:49:26,440 --> 00:49:31,680 Speaker 1: whole it's interesting, Like the it's like the same moment article. 824 00:49:32,360 --> 00:49:34,840 Speaker 1: I'm sorry she had to like oh, like while we're talking, 825 00:49:35,680 --> 00:49:38,799 Speaker 1: I'm reading through it and like they up top they 826 00:49:38,840 --> 00:49:40,800 Speaker 1: talk about how all of this is, you know, bullshit, 827 00:49:40,880 --> 00:49:43,600 Speaker 1: and how in another article from Newsweek it's all debunked, 828 00:49:43,840 --> 00:49:46,520 Speaker 1: but they still put together this article about, well, these 829 00:49:46,560 --> 00:49:48,600 Speaker 1: are the celebrity Here are the celebrities who sell through 830 00:49:48,600 --> 00:49:51,560 Speaker 1: Wayfair Yeah, no one is looking up this information unless 831 00:49:51,560 --> 00:49:53,359 Speaker 1: they want to know who to shame. So I'm very 832 00:49:53,400 --> 00:49:56,279 Speaker 1: confused by this string lionel Richie into this. Come on, man, 833 00:49:56,520 --> 00:49:59,520 Speaker 1: who to shame? Richie didn't do anything? Any scenario shame, 834 00:49:59,719 --> 00:50:03,000 Speaker 1: like the worst case scenario, you know, cute like these 835 00:50:03,040 --> 00:50:05,040 Speaker 1: are the people who showed up at the pizza parlor 836 00:50:05,080 --> 00:50:09,680 Speaker 1: with automatic weapons, Like, wow, Trisia year would bring it 837 00:50:09,719 --> 00:50:15,359 Speaker 1: all back? What? Yeah you think Garth Brooks only puts 838 00:50:15,360 --> 00:50:20,719 Speaker 1: breakfast in that bowl? Come on, man, boy, yeah, wake up, fingertips. 839 00:50:20,840 --> 00:50:24,840 Speaker 1: It's all fingertips. It ain't totally it's it's totally. Okay, 840 00:50:24,960 --> 00:50:28,160 Speaker 1: that's you don't real are the It's like kind of 841 00:50:28,200 --> 00:50:30,000 Speaker 1: the same energy though that was like in the early 842 00:50:30,040 --> 00:50:32,400 Speaker 1: Internet when like the Matrix sequels are coming out and 843 00:50:32,440 --> 00:50:35,040 Speaker 1: like Lost and like people trying to fucking find Easter 844 00:50:35,120 --> 00:50:38,120 Speaker 1: eggs before the writers do. It's like that same energy 845 00:50:38,280 --> 00:50:40,000 Speaker 1: that I feel like when I'm looking at it to 846 00:50:40,040 --> 00:50:43,040 Speaker 1: your point of like the high like, oh ship, I 847 00:50:43,040 --> 00:50:45,280 Speaker 1: don't know who the mayor of Vingian is actually supposed 848 00:50:45,320 --> 00:50:48,719 Speaker 1: to be in Matrix Reloaded, Okay. The Mara Vingians were 849 00:50:48,719 --> 00:50:51,600 Speaker 1: these Christian kings that were in like dude, that what 850 00:50:51,920 --> 00:50:54,160 Speaker 1: I don't know. I don't know it was the reference, 851 00:50:54,239 --> 00:50:56,839 Speaker 1: but that's not like the basis for a conspiracy theory 852 00:50:56,880 --> 00:51:00,680 Speaker 1: slash religion moving forward, and but scint of you go 853 00:51:00,760 --> 00:51:02,440 Speaker 1: around and people like I do I figured, I don't know. 854 00:51:02,480 --> 00:51:03,880 Speaker 1: I read up on it, and that's what this is, 855 00:51:03,920 --> 00:51:06,719 Speaker 1: so therefore this is what it means. And this that's 856 00:51:06,719 --> 00:51:08,960 Speaker 1: also part of why I think that being right is overrated. 857 00:51:09,000 --> 00:51:11,800 Speaker 1: Like sometimes I watch shows with like a long narrative 858 00:51:11,880 --> 00:51:13,640 Speaker 1: ark and some sort of central mystery, and I'll try 859 00:51:13,680 --> 00:51:15,279 Speaker 1: and guess along with it. That's part of the fun. 860 00:51:15,520 --> 00:51:18,600 Speaker 1: But when I'm wrong, it's like not like, oh, well, 861 00:51:18,680 --> 00:51:21,520 Speaker 1: this was bullshit. I don't believe in this existence of 862 00:51:21,560 --> 00:51:24,600 Speaker 1: this movie anymore, like oh, okay, cool, I see what 863 00:51:24,640 --> 00:51:26,480 Speaker 1: they did there. I get how they got to that 864 00:51:26,520 --> 00:51:28,920 Speaker 1: point and why I was wrong. That's actually it's lost, 865 00:51:29,080 --> 00:51:31,839 Speaker 1: in which case I was, No, I rejected this, this 866 00:51:31,880 --> 00:51:34,359 Speaker 1: is right, and I turned my back on this. Now 867 00:51:34,920 --> 00:51:39,120 Speaker 1: that's fair. I mean, with fiction, sometimes your ideas are 868 00:51:39,200 --> 00:51:42,040 Speaker 1: better than the ones they end up going with for 869 00:51:42,160 --> 00:51:49,160 Speaker 1: various reasons. Yes, yes, uh, in when it comes to 870 00:51:49,440 --> 00:51:53,719 Speaker 1: interpretations of reality, like that's yeah, it's just a bunch 871 00:51:53,760 --> 00:51:58,040 Speaker 1: of Another thing this reminds me of is the fact 872 00:51:58,160 --> 00:52:02,720 Speaker 1: that the deadliest civil in human history was a cult 873 00:52:03,000 --> 00:52:07,280 Speaker 1: in China that thought that their leader was Jesus's brother, 874 00:52:07,360 --> 00:52:11,120 Speaker 1: and twenty million people died. So, like, I don't know, 875 00:52:11,640 --> 00:52:14,759 Speaker 1: it seems like this is one of those frog in 876 00:52:14,880 --> 00:52:19,040 Speaker 1: a pot like getting hotter and hotter until the waters 877 00:52:19,040 --> 00:52:23,759 Speaker 1: boiling things, where like if you had told me two 878 00:52:23,840 --> 00:52:27,160 Speaker 1: years ago that Q was as popular as it is 879 00:52:27,360 --> 00:52:31,040 Speaker 1: and that the president was openly embracing it, and that 880 00:52:31,400 --> 00:52:35,680 Speaker 1: Q ideology was like as murderous and like openly like 881 00:52:35,840 --> 00:52:40,759 Speaker 1: we're ready to rise up if yeah, I act out 882 00:52:40,800 --> 00:52:43,720 Speaker 1: real world violence, if Trump is like taken out of office, 883 00:52:43,800 --> 00:52:48,640 Speaker 1: like that would be caused for immediate and profuse alarm, 884 00:52:48,880 --> 00:52:52,640 Speaker 1: And instead it feels like it's just something that like 885 00:52:53,280 --> 00:52:59,879 Speaker 1: feels like a series of ingredients from the past two 886 00:53:00,040 --> 00:53:02,880 Speaker 1: undred news cycles converging and it's just like man, but 887 00:53:03,000 --> 00:53:06,719 Speaker 1: it's really like those are dangerous elements. Yeah. Meanwhile, it's 888 00:53:06,840 --> 00:53:10,160 Speaker 1: MS thirteen and uh, you know, open borders and you're 889 00:53:10,160 --> 00:53:13,640 Speaker 1: not gonna have windows because of Joe Biden's Green Revolution plan. 890 00:53:14,239 --> 00:53:17,600 Speaker 1: That was what is the emphasis of this administration when 891 00:53:17,719 --> 00:53:20,840 Speaker 1: we're also looking, you know, just comparing the language always 892 00:53:20,880 --> 00:53:23,040 Speaker 1: of what the threats are. It's always it's always people 893 00:53:23,080 --> 00:53:25,160 Speaker 1: of color, and it's always people who aren't you know, 894 00:53:25,440 --> 00:53:29,560 Speaker 1: cis head Christian American people. And we should say that. 895 00:53:29,760 --> 00:53:33,120 Speaker 1: I mean, there's totally good reason to be paying attention 896 00:53:33,239 --> 00:53:36,879 Speaker 1: for people to be have their antenna up about uh. 897 00:53:37,080 --> 00:53:40,440 Speaker 1: Sex trafficking and human trafficking like that is a thing 898 00:53:40,520 --> 00:53:44,280 Speaker 1: that we're finding out is just all over the place, 899 00:53:44,440 --> 00:53:51,880 Speaker 1: especially among the powerful with Jeffrey Epstein, Jolaine Maxwell and 900 00:53:52,640 --> 00:53:54,839 Speaker 1: Zeist for sure. And I think it's and it's it's 901 00:53:54,880 --> 00:53:58,160 Speaker 1: been such a real world problem. It's it's like any 902 00:53:58,440 --> 00:54:02,680 Speaker 1: like with these conspiracies. That's why it's it's very easy 903 00:54:02,719 --> 00:54:05,080 Speaker 1: for them to gain momentum because it has to start 904 00:54:05,160 --> 00:54:07,439 Speaker 1: with some kind of focal point that is a real 905 00:54:07,440 --> 00:54:11,560 Speaker 1: world issue. So whether that's like your own financial disenfranchisement 906 00:54:11,920 --> 00:54:14,600 Speaker 1: being the source of many all kinds of conspiracies about 907 00:54:14,600 --> 00:54:17,240 Speaker 1: who runs what in the banks or whatever, or something 908 00:54:17,320 --> 00:54:21,720 Speaker 1: like this with sex trafficking, there's always this real world 909 00:54:21,760 --> 00:54:24,360 Speaker 1: issue that give enough people to sort of rally around 910 00:54:24,360 --> 00:54:27,839 Speaker 1: and then sort of connect these dots and yeah, it's 911 00:54:28,880 --> 00:54:32,759 Speaker 1: it's really again, we were talking earlier about earlier in 912 00:54:32,800 --> 00:54:37,359 Speaker 1: this week about the lengths that people can go when 913 00:54:37,400 --> 00:54:41,920 Speaker 1: they're fully engrossed and caught up in these conspiracy theories, 914 00:54:42,000 --> 00:54:44,880 Speaker 1: and it shows that for it's very real to people, 915 00:54:45,040 --> 00:54:47,920 Speaker 1: you know, on some level, like based on what they're reading, 916 00:54:47,960 --> 00:54:49,880 Speaker 1: like they're arriving at a place where this is the 917 00:54:50,000 --> 00:54:53,319 Speaker 1: reality that they're fighting against. So you know, on some 918 00:54:53,440 --> 00:54:57,640 Speaker 1: level you can see why, yes, the material was there 919 00:54:57,680 --> 00:55:00,319 Speaker 1: in the conversation and culture for like this to pick 920 00:55:00,400 --> 00:55:02,799 Speaker 1: up as like a trend. And then but then you 921 00:55:02,840 --> 00:55:04,759 Speaker 1: get to see like these bad faith things like this 922 00:55:04,800 --> 00:55:08,480 Speaker 1: Newsweek article too, where it's like, hey, let's uh, let's 923 00:55:08,520 --> 00:55:10,239 Speaker 1: kind of just hop on this right now because that'll 924 00:55:10,280 --> 00:55:13,319 Speaker 1: get to some clicks. Yeah, yeah, totally. And I mean 925 00:55:13,360 --> 00:55:17,240 Speaker 1: this just for if nothing else, it's worth talking about 926 00:55:17,280 --> 00:55:20,719 Speaker 1: this because this just doesn't how you know, we we 927 00:55:20,760 --> 00:55:23,680 Speaker 1: talked about the Jeffrey Epstein story a number of times, 928 00:55:23,680 --> 00:55:26,360 Speaker 1: and the way it actually works is they're out in 929 00:55:26,400 --> 00:55:29,920 Speaker 1: the open about it. They have a plane that everybody 930 00:55:30,040 --> 00:55:33,120 Speaker 1: refers to as the low Lead Express, Uh, they have 931 00:55:33,400 --> 00:55:37,600 Speaker 1: Pedophile Island, and then when people come for them, they 932 00:55:37,640 --> 00:55:41,560 Speaker 1: just you know, make that go away with sheer access 933 00:55:41,560 --> 00:55:47,480 Speaker 1: to power. They're not dropping hints in furniture commerce website, 934 00:55:47,640 --> 00:55:52,000 Speaker 1: right right, alright, guys, let's talk about this, uh, this 935 00:55:52,160 --> 00:55:55,960 Speaker 1: lead poisoning thesis. I had kind of heard about this, 936 00:55:56,560 --> 00:55:59,840 Speaker 1: uh in the background as as one of the explanations 937 00:56:00,160 --> 00:56:05,200 Speaker 1: or why crime started going down in the United States 938 00:56:05,560 --> 00:56:08,239 Speaker 1: in the early nineties and has kind of been going 939 00:56:08,280 --> 00:56:13,760 Speaker 1: down ever since. The thesis basically, as it relates to crime, 940 00:56:14,040 --> 00:56:19,360 Speaker 1: that that was the year that the first generation after 941 00:56:19,520 --> 00:56:24,200 Speaker 1: the Clean Air Act of nineteen seventy hit hit uh, 942 00:56:24,520 --> 00:56:28,959 Speaker 1: you know, adulthood and started to you know, uh, make 943 00:56:29,040 --> 00:56:32,040 Speaker 1: adult decisions and be you know, hit the age that 944 00:56:32,440 --> 00:56:37,920 Speaker 1: people generally start committing crimes um. And the idea is 945 00:56:38,120 --> 00:56:44,759 Speaker 1: that because the planet was so full of leaded gasoline 946 00:56:44,800 --> 00:56:49,480 Speaker 1: fumes um, that up to the year nineteen seventy, humans 947 00:56:49,600 --> 00:56:55,040 Speaker 1: were and especially children were exposed to unprecedented levels of lead. 948 00:56:55,360 --> 00:56:58,520 Speaker 1: And that's that's a fact that you can test by 949 00:56:58,640 --> 00:57:00,920 Speaker 1: you know that they were testing at the time. And 950 00:57:01,239 --> 00:57:05,960 Speaker 1: it's just a fact that people during that time, like 951 00:57:06,120 --> 00:57:10,960 Speaker 1: from the twenty late twenties through nine seventy were exposed 952 00:57:10,960 --> 00:57:15,680 Speaker 1: as cars became so dominant and up to the point 953 00:57:15,800 --> 00:57:18,040 Speaker 1: like up through the sixties was probably when it was 954 00:57:18,080 --> 00:57:19,920 Speaker 1: at its worst, because that was when the most cars 955 00:57:19,920 --> 00:57:24,360 Speaker 1: were out there belching out this lead gasoline fumes. So 956 00:57:24,440 --> 00:57:27,880 Speaker 1: there you going, Jack. So lead is bad. It turns 957 00:57:27,960 --> 00:57:31,919 Speaker 1: out so lead poisoning. So when when you come into 958 00:57:32,080 --> 00:57:37,200 Speaker 1: contact with consistent lead poisoning as a child, it affects 959 00:57:37,240 --> 00:57:39,960 Speaker 1: They found they found a lot of longitudinal studies that 960 00:57:40,360 --> 00:57:45,760 Speaker 1: uh say that it affects person's ability to regulate their emotions. Uh, 961 00:57:45,800 --> 00:57:50,760 Speaker 1: They're more likely to display psychological traits that include impulsivity 962 00:57:50,800 --> 00:57:55,680 Speaker 1: and egocentricity. Um, so what are these people born? Probably 963 00:57:56,960 --> 00:57:58,920 Speaker 1: where were they born? When? When do you? When do 964 00:57:58,960 --> 00:58:01,160 Speaker 1: you when? When we're we're peque one of these people 965 00:58:01,240 --> 00:58:03,880 Speaker 1: really getting off on the fuel the baby boom generation 966 00:58:04,400 --> 00:58:08,640 Speaker 1: is kind of so that that's what I'm kind of 967 00:58:08,680 --> 00:58:10,800 Speaker 1: connecting it to. That's a lot of the writing on 968 00:58:10,800 --> 00:58:14,600 Speaker 1: this has just been focused on explaining there's this big 969 00:58:14,720 --> 00:58:19,080 Speaker 1: demographic puzzle that a lot of different explanations have been 970 00:58:19,080 --> 00:58:23,120 Speaker 1: proposed for, uh, for why crime went down starting in 971 00:58:23,120 --> 00:58:28,800 Speaker 1: the nineties. Because everybody Joe Biden's crime bill, that's right, Well, 972 00:58:28,840 --> 00:58:31,880 Speaker 1: but that Joe Biden's crime bill, and like Clinton's like 973 00:58:31,960 --> 00:58:36,520 Speaker 1: all they're like, uh, super predator ship was was a 974 00:58:36,600 --> 00:58:39,480 Speaker 1: result of the fact that crime just started going up 975 00:58:39,600 --> 00:58:44,480 Speaker 1: in like this unprecedented and unpredicted way in the seventies 976 00:58:44,480 --> 00:58:49,760 Speaker 1: and eighties. Uh. And then for no real reason that 977 00:58:49,840 --> 00:58:53,200 Speaker 1: anybody has been able to identify, starting in the nineties, 978 00:58:53,200 --> 00:58:56,560 Speaker 1: that started going down. Um. And you know this is 979 00:58:56,640 --> 00:59:01,000 Speaker 1: Malcolm Gladwell wrote about this being from broken Windows policing 980 00:59:01,000 --> 00:59:05,600 Speaker 1: and Rudy Giuliani, which turns out as bullshit. Uh. And 981 00:59:06,560 --> 00:59:10,200 Speaker 1: there's a lot of different like explanations. The freakonomics people 982 00:59:10,560 --> 00:59:13,240 Speaker 1: wrote about it being the result of Roe v. Wade, 983 00:59:13,400 --> 00:59:16,760 Speaker 1: but that doesn't hold for other countries, so it doesn't 984 00:59:16,800 --> 00:59:21,160 Speaker 1: really make sense that that would be a cause. And 985 00:59:21,600 --> 00:59:25,200 Speaker 1: so this writer, a bunch of writers have pointed to 986 00:59:26,120 --> 00:59:29,800 Speaker 1: lead poisoning being the thing because once lead is taken 987 00:59:29,840 --> 00:59:33,240 Speaker 1: out of the gasoline in a country, about twenty years later, 988 00:59:33,480 --> 00:59:38,760 Speaker 1: almost like clockwork, their crime starts going down. Um. So 989 00:59:39,000 --> 00:59:42,600 Speaker 1: it's it's really interesting that there's we'll link off to 990 00:59:42,680 --> 00:59:45,800 Speaker 1: some articles that kind of explain it in more detail, 991 00:59:46,240 --> 00:59:49,640 Speaker 1: but basically, uh, there's this Mother Jones article that says 992 00:59:49,680 --> 00:59:53,360 Speaker 1: it's basically unassailable that lead poisoning explained who committed crime 993 00:59:53,960 --> 00:59:59,200 Speaker 1: and ended up at the cruel you know, bottom part 994 00:59:59,280 --> 01:00:03,560 Speaker 1: of our social strata, you know. Taking that if that 995 01:00:03,800 --> 01:00:08,240 Speaker 1: is true, and we take as a constant that America 996 01:00:08,560 --> 01:00:12,440 Speaker 1: is not a meritocracy but more of a lottery based 997 01:00:12,480 --> 01:00:15,640 Speaker 1: on where into whom you're born, and uh, you know, 998 01:00:16,080 --> 01:00:19,000 Speaker 1: I feel like it would be inevitable that the same 999 01:00:19,040 --> 01:00:22,160 Speaker 1: would be true at the top of our society, Like 1000 01:00:22,240 --> 01:00:26,000 Speaker 1: that the Baby Boomers who grew up and were exposed 1001 01:00:26,000 --> 01:00:30,080 Speaker 1: to all this lead and have damaged impulse control, who 1002 01:00:30,480 --> 01:00:35,400 Speaker 1: are still in positions of power, still running our country. Uh, 1003 01:00:35,440 --> 01:00:38,440 Speaker 1: that that would have an impact on them and just 1004 01:00:39,000 --> 01:00:44,880 Speaker 1: on our world in general, since they've been so greedily 1005 01:00:44,960 --> 01:00:48,960 Speaker 1: holding onto power for for so long, um, and so 1006 01:00:49,000 --> 01:00:52,760 Speaker 1: aggressive about it. I don't know, it just seems like 1007 01:00:54,160 --> 01:00:57,240 Speaker 1: it's a It's not not a thing that I found, like, 1008 01:00:57,680 --> 01:01:01,040 Speaker 1: you know, somebody else really making the case for there is. 1009 01:01:01,200 --> 01:01:03,720 Speaker 1: There was an article about how Baby Boomers as a 1010 01:01:03,720 --> 01:01:09,440 Speaker 1: generation were more sociopathic than other generations, and they like 1011 01:01:09,560 --> 01:01:12,880 Speaker 1: mentioned as an aside the high led content of their 1012 01:01:12,920 --> 01:01:17,760 Speaker 1: blood being one of the very unique things about their generation. Um, 1013 01:01:17,960 --> 01:01:23,440 Speaker 1: but it seems pretty I don't know, like it tracks 1014 01:01:23,440 --> 01:01:25,640 Speaker 1: when you think about one of the things that always 1015 01:01:25,640 --> 01:01:28,040 Speaker 1: surprised me when I really do look back is just 1016 01:01:28,120 --> 01:01:33,360 Speaker 1: how weird the crime infested the country was at that point, 1017 01:01:33,520 --> 01:01:36,120 Speaker 1: Like it wasn't just scare tactics, and it wasn't just 1018 01:01:36,240 --> 01:01:37,840 Speaker 1: movies where like, oh, you go to city, you're gonna 1019 01:01:37,840 --> 01:01:40,720 Speaker 1: get muggs, Like just a fact like oh, that dude 1020 01:01:40,760 --> 01:01:43,680 Speaker 1: has like seven knives on him. Oh, that woman just 1021 01:01:43,720 --> 01:01:46,240 Speaker 1: got mugged while I was watching. As it turns out, 1022 01:01:46,440 --> 01:01:49,640 Speaker 1: there was just a weird amount of crency serial killers, 1023 01:01:50,000 --> 01:01:52,520 Speaker 1: so many of them during this time period. So I 1024 01:01:52,520 --> 01:01:55,640 Speaker 1: should say that I got I started looking into this 1025 01:01:55,720 --> 01:01:59,040 Speaker 1: because I was listening to an episode of Last Podcast 1026 01:01:59,040 --> 01:02:01,920 Speaker 1: on the Left, and they were talking about the fact 1027 01:02:01,960 --> 01:02:07,640 Speaker 1: that these three major serial killers whose names I'm I'm 1028 01:02:07,680 --> 01:02:10,960 Speaker 1: not remembering, but they all came from uh the same 1029 01:02:11,000 --> 01:02:14,400 Speaker 1: neighborhood at around the same time or the same town 1030 01:02:14,400 --> 01:02:17,400 Speaker 1: at around the same time. And it's like such an 1031 01:02:17,600 --> 01:02:21,880 Speaker 1: abarition like that that's not normal, normal behavior. Uh. And 1032 01:02:22,000 --> 01:02:24,720 Speaker 1: there was just an overall spike and serial killers in 1033 01:02:24,760 --> 01:02:28,960 Speaker 1: the seventies, uh, And be there being geographical hotspots of 1034 01:02:29,040 --> 01:02:32,600 Speaker 1: serial killers would suggest like literally something in the water. 1035 01:02:33,160 --> 01:02:36,800 Speaker 1: So I don't know, Anna Cruz is Santa Cruz, there 1036 01:02:36,880 --> 01:02:43,280 Speaker 1: was three serial killers active at the same time. Yeah, exactly. Um, yeah, 1037 01:02:43,560 --> 01:02:46,920 Speaker 1: so I don't know. And London, Ontario to Canada, you 1038 01:02:47,000 --> 01:02:49,160 Speaker 1: got yours too. There's a there's a whole thing of 1039 01:02:49,200 --> 01:02:52,320 Speaker 1: like a few towns had multiple serial killers active at 1040 01:02:52,360 --> 01:02:54,800 Speaker 1: the same time. And when you look at with each 1041 01:02:54,800 --> 01:02:57,040 Speaker 1: other trying to get to the top of their charts, 1042 01:02:57,160 --> 01:03:02,000 Speaker 1: much like Arsenal but Liverpool, except the top of no chart. 1043 01:03:02,680 --> 01:03:07,880 Speaker 1: And when you look at three of our last four presidents, 1044 01:03:07,920 --> 01:03:12,200 Speaker 1: they were born within three months of each other. Uh, 1045 01:03:12,280 --> 01:03:15,280 Speaker 1: George W. Bush, Bill Clinton, and Donald Trump were all 1046 01:03:15,320 --> 01:03:18,960 Speaker 1: born are all at the like slightly older edge of 1047 01:03:19,080 --> 01:03:27,720 Speaker 1: the baby boomer generation. And you know they have variously 1048 01:03:28,360 --> 01:03:33,960 Speaker 1: completely funked up our our country in pretty aggressive ways. Um. 1049 01:03:34,080 --> 01:03:36,360 Speaker 1: I feel like we go too hard on George Bush, 1050 01:03:36,360 --> 01:03:39,360 Speaker 1: you know, like ever since Ellen, you know, I think 1051 01:03:39,520 --> 01:03:42,960 Speaker 1: we were all supposed to realize, you know that George Bush, 1052 01:03:43,040 --> 01:03:46,320 Speaker 1: he must also be involved in the wayfair conspiracy because 1053 01:03:46,480 --> 01:03:47,960 Speaker 1: I don't know, if you saw the image, the way 1054 01:03:48,000 --> 01:03:50,080 Speaker 1: they were talking to each other, they were signaling to 1055 01:03:50,160 --> 01:03:52,440 Speaker 1: us what the real truth was. What's in the cabinet 1056 01:03:52,680 --> 01:04:00,200 Speaker 1: named W H M and presidents have what cabinets to 1057 01:04:00,240 --> 01:04:05,160 Speaker 1: go down for the Deep States against US. Yeah. So anyways, 1058 01:04:05,200 --> 01:04:09,080 Speaker 1: just I mean this is also a very hopeful spin 1059 01:04:09,160 --> 01:04:12,360 Speaker 1: on things that like we are just being poisoned by 1060 01:04:12,400 --> 01:04:17,160 Speaker 1: this about to pass from this earth generation. So that 1061 01:04:17,360 --> 01:04:22,800 Speaker 1: this isn't any sort of like actionable ideas here other 1062 01:04:22,840 --> 01:04:26,160 Speaker 1: than don't inhale lead. I just think it's interesting and 1063 01:04:26,320 --> 01:04:29,800 Speaker 1: let's not forget though, speaking going back to Flint. Uh, 1064 01:04:29,920 --> 01:04:32,440 Speaker 1: the number of lead pipes that are still in use 1065 01:04:32,480 --> 01:04:35,960 Speaker 1: in this country is extremely high, and it's something that 1066 01:04:36,120 --> 01:04:39,040 Speaker 1: can be solved. Gonna take a lot of money in time, 1067 01:04:39,280 --> 01:04:43,480 Speaker 1: but it can be solved. It's not that it's going 1068 01:04:43,520 --> 01:04:48,120 Speaker 1: to take a lot of money. Miles is big on austerity. 1069 01:04:48,560 --> 01:04:56,720 Speaker 1: Uh um over here. Um. The one other detail of 1070 01:04:56,760 --> 01:04:59,240 Speaker 1: it is that people have been pointing to the year 1071 01:05:00,040 --> 01:05:03,920 Speaker 1: as a year to look for a drop in violence 1072 01:05:03,920 --> 01:05:06,960 Speaker 1: in the Middle East because that's when like two thousand 1073 01:05:07,120 --> 01:05:10,600 Speaker 1: was basically their nineteen seventy in terms of removing lead 1074 01:05:10,640 --> 01:05:14,800 Speaker 1: from gasoline. So uh, that's one way that I mean, 1075 01:05:14,840 --> 01:05:18,960 Speaker 1: that's a convenient way to explain terrorism right right where 1076 01:05:19,000 --> 01:05:21,360 Speaker 1: it's like, yeah, nothing to do with the United States 1077 01:05:21,440 --> 01:05:24,320 Speaker 1: foreign policy. It's it was the gas. I'm pretty sure. 1078 01:05:24,960 --> 01:05:30,240 Speaker 1: I mean, it's always been about the oil and gas. Damn, 1079 01:05:30,240 --> 01:05:34,960 Speaker 1: we need an improv team here between. Yeah, all of 1080 01:05:35,000 --> 01:05:39,400 Speaker 1: this is can be like seen as a very convenient 1081 01:05:39,720 --> 01:05:43,000 Speaker 1: like sort of well that that was the answer, and 1082 01:05:43,040 --> 01:05:45,040 Speaker 1: now we don't have to worry about anything. And that's 1083 01:05:45,520 --> 01:05:48,280 Speaker 1: definitely definitely not what we're saying. I remember always as 1084 01:05:48,280 --> 01:05:52,360 Speaker 1: a kid, though, too, seeing unleaded gas, like, right, well, 1085 01:05:52,360 --> 01:05:54,800 Speaker 1: why would you like gas? Or just when I saw 1086 01:05:54,840 --> 01:05:56,640 Speaker 1: it on my wall, where do you get leaded gas? 1087 01:05:57,240 --> 01:05:59,520 Speaker 1: I'm like, why why do you get unletted? I remember 1088 01:05:59,520 --> 01:06:02,200 Speaker 1: always asked my mom white because she would say unleaded 1089 01:06:02,280 --> 01:06:04,440 Speaker 1: because there was still the eighties and I could there. 1090 01:06:04,520 --> 01:06:07,360 Speaker 1: I'm sure there was people had habits of like saying 1091 01:06:07,400 --> 01:06:09,360 Speaker 1: that or whatever or that was like a way to 1092 01:06:09,360 --> 01:06:12,120 Speaker 1: describe gas. But I was like it always bugged my mind, 1093 01:06:12,200 --> 01:06:14,720 Speaker 1: was like, shouldn't we get the good ship? Like you 1094 01:06:14,760 --> 01:06:18,360 Speaker 1: don't want un anything? Yeah, make the cars and the 1095 01:06:18,400 --> 01:06:21,640 Speaker 1: brains go fast? Yea, yeah, exactly. Yeah. The the guy 1096 01:06:21,680 --> 01:06:24,600 Speaker 1: who helped develop lead a gasoline, Thomas Midgeley Jr. Did 1097 01:06:25,200 --> 01:06:28,360 Speaker 1: at a at a press conference, poured lead a gasoline 1098 01:06:28,360 --> 01:06:31,120 Speaker 1: into a ball like poured it over his hands, put 1099 01:06:31,160 --> 01:06:34,640 Speaker 1: it under his nose, huffed it. Uh, and to prove 1100 01:06:34,720 --> 01:06:37,240 Speaker 1: his point. The state of New Jersey was still like, 1101 01:06:37,280 --> 01:06:40,480 Speaker 1: we're you know, funk all that. But oh my god. 1102 01:06:41,080 --> 01:06:43,440 Speaker 1: He had to take a leave of absence from work 1103 01:06:43,440 --> 01:06:48,480 Speaker 1: after being diagnosed with lead poisoning. He also, apparently, I'm 1104 01:06:48,520 --> 01:06:52,000 Speaker 1: just looking this up. He apparently also helped invent CFCs 1105 01:06:52,080 --> 01:06:59,840 Speaker 1: like free on which this dude shout out right, and 1106 01:07:00,040 --> 01:07:03,120 Speaker 1: then in nineteen forty at the age of fifty one, 1107 01:07:03,360 --> 01:07:07,320 Speaker 1: and then more in nineteen forty at the age of 1108 01:07:07,360 --> 01:07:09,720 Speaker 1: fifty one, just like talking about his two of his 1109 01:07:09,760 --> 01:07:14,080 Speaker 1: inventions like might have destroyed the world and killed a 1110 01:07:14,120 --> 01:07:16,560 Speaker 1: bunch of people. Well, in nineteen forty, at the age 1111 01:07:16,560 --> 01:07:20,080 Speaker 1: of fifty one, Midsuley contracted polio, which left him severely disabled. 1112 01:07:20,240 --> 01:07:23,080 Speaker 1: He devised an elaborate system of ropes and pulleys to 1113 01:07:23,160 --> 01:07:26,000 Speaker 1: lift himself out of bed. In nineteen forty four, he 1114 01:07:26,040 --> 01:07:30,520 Speaker 1: became entangled in the device and died of strangulation. That's 1115 01:07:30,520 --> 01:07:35,800 Speaker 1: how he went entangled with august Alsina entangled aglement. It 1116 01:07:35,880 --> 01:07:42,560 Speaker 1: was truly entanglement. Wow, not stop. He could not stop 1117 01:07:42,600 --> 01:07:45,240 Speaker 1: inventing things that would kill people like it was just 1118 01:07:45,320 --> 01:07:51,160 Speaker 1: like He's like, damn it, not again. Deal with the devil? Was? 1119 01:07:51,240 --> 01:07:55,040 Speaker 1: I want to be a famous inventor? Yeah, exactly, which 1120 01:07:55,080 --> 01:08:00,120 Speaker 1: has been granted? Ship, Like, hey, is this like that 1121 01:08:00,200 --> 01:08:04,520 Speaker 1: Garth book sketch saying go back Brooks doing the deal 1122 01:08:04,560 --> 01:08:11,880 Speaker 1: with the Devil sketch? One of my favorite sarguess fargus, 1123 01:08:11,920 --> 01:08:16,320 Speaker 1: I've just been bit by the bug and it's driving 1124 01:08:16,400 --> 01:08:22,759 Speaker 1: me madd God the son of a bite. Fred Socks 1125 01:08:22,800 --> 01:08:28,280 Speaker 1: is a hits. Uh, Fred Slacks, I think Slacks, Yes, 1126 01:08:28,280 --> 01:08:31,840 Speaker 1: thank you so much. I sit corrected. Those those songs, 1127 01:08:32,000 --> 01:08:35,120 Speaker 1: Uh just pop into my head all the time and 1128 01:08:35,360 --> 01:08:38,320 Speaker 1: there's nothing to be done about it. Hey, this was 1129 01:08:38,360 --> 01:08:41,720 Speaker 1: so fun, man. Where can people find you? Follow you? Here? 1130 01:08:41,760 --> 01:08:44,920 Speaker 1: You so? You can find me on Twitter at Hayes Brown. 1131 01:08:45,080 --> 01:08:47,800 Speaker 1: Very easy to find, almost too easy. Uh. You can 1132 01:08:47,840 --> 01:08:52,400 Speaker 1: listen to news a clock on Apple Podcasts, Spotify, the 1133 01:08:52,439 --> 01:08:55,559 Speaker 1: I Heart radio app, wherever you go for your sound stories. 1134 01:08:56,840 --> 01:08:59,519 Speaker 1: And is there a tweet or some other work of 1135 01:08:59,600 --> 01:09:03,599 Speaker 1: social media you've been enjoying. I saw one the other 1136 01:09:03,800 --> 01:09:06,600 Speaker 1: just the other day that really summed up my feelings 1137 01:09:06,640 --> 01:09:09,680 Speaker 1: about how this election cycle is going right now. It's 1138 01:09:09,720 --> 01:09:13,040 Speaker 1: from at Pope hat. I've decided it's safer to watch 1139 01:09:13,040 --> 01:09:16,040 Speaker 1: Trump press conferences through the reactions of Twitter people like 1140 01:09:16,120 --> 01:09:19,040 Speaker 1: looking at an eclipse with a pinhole camera. I could 1141 01:09:19,040 --> 01:09:23,800 Speaker 1: not agree more something that he does not possess the 1142 01:09:24,040 --> 01:09:28,559 Speaker 1: wherewithal to do. Yeah, the levels of irony are several miles. 1143 01:09:28,600 --> 01:09:30,360 Speaker 1: Where can people find you in? What's tweet? You've been 1144 01:09:30,439 --> 01:09:35,719 Speaker 1: enjoying couples? Okay, so Twitter, Instagram, PlayStation Network, Miles of Gray. 1145 01:09:35,880 --> 01:09:39,040 Speaker 1: Also my other podcast for twenty Day Fiance. You know, 1146 01:09:39,120 --> 01:09:41,519 Speaker 1: let's get hi talk about ninety day fiance. Just let's 1147 01:09:41,520 --> 01:09:43,640 Speaker 1: blow some steam off, let's watch some trash, but like 1148 01:09:44,000 --> 01:09:47,920 Speaker 1: really really analyze it thoroughly with Sophia Alexandra Um. Some 1149 01:09:48,000 --> 01:09:50,880 Speaker 1: tweets that I like. First two are from Reductress. First one, 1150 01:09:51,000 --> 01:09:52,720 Speaker 1: it's a photo of like a guy in a ski 1151 01:09:52,800 --> 01:09:56,160 Speaker 1: mask and it says right wing burglar conflicted about mask 1152 01:09:57,400 --> 01:10:00,360 Speaker 1: that feels fair. Another one is a woman like outside 1153 01:10:00,360 --> 01:10:02,880 Speaker 1: of the Magic Kingdom, like like so excited, like and 1154 01:10:03,120 --> 01:10:06,320 Speaker 1: he says this woman died at Disney World from having 1155 01:10:06,360 --> 01:10:10,720 Speaker 1: too much fun and also COVID nineteen uh. And the 1156 01:10:10,840 --> 01:10:15,040 Speaker 1: last one is from ao ed Ivory. Uh. So this 1157 01:10:15,160 --> 01:10:17,640 Speaker 1: was great She says her tweet is time machine and 1158 01:10:17,680 --> 01:10:20,600 Speaker 1: I'm supposed to kill baby. Who nah, I'm taking that 1159 01:10:20,680 --> 01:10:24,120 Speaker 1: right back and telling my parents to immigrate to New Zealand. 1160 01:10:24,160 --> 01:10:31,559 Speaker 1: I'm sorry, that's my ministry now. Oh man, some tweets 1161 01:10:31,600 --> 01:10:37,840 Speaker 1: I've been enjoying. Uh. The zitron tweeted the screen cap 1162 01:10:38,080 --> 01:10:41,920 Speaker 1: of somebody on a message board saying, tipping on rent 1163 01:10:42,240 --> 01:10:45,920 Speaker 1: when paying rent? What is customary to tip the landlord 1164 01:10:46,040 --> 01:10:49,040 Speaker 1: leasing company? I found fifteen percent of my rent is 1165 01:10:49,080 --> 01:10:51,759 Speaker 1: a number I'm comfortable with and have gone as highest 1166 01:10:52,760 --> 01:10:56,760 Speaker 1: during holiday seasons. Uh. And they just wrote to the 1167 01:10:56,840 --> 01:11:03,240 Speaker 1: landlord break this, which like, that's it's the only I've 1168 01:11:03,360 --> 01:11:10,360 Speaker 1: never heard of that go with the buy. Somebody retweeted 1169 01:11:10,360 --> 01:11:15,240 Speaker 1: that video of the bear using numb chucks that you 1170 01:11:15,520 --> 01:11:20,040 Speaker 1: that you mentioned the other day. Miles and Nate cheers 1171 01:11:20,080 --> 01:11:23,840 Speaker 1: in it. At cheers in it on Twitter tweeted, I'm 1172 01:11:23,880 --> 01:11:27,000 Speaker 1: a zoologist. I know this behavior looks cute, but bears 1173 01:11:27,040 --> 01:11:30,000 Speaker 1: only trained like this when their sense has been slayed 1174 01:11:30,040 --> 01:11:36,479 Speaker 1: by a rival dojo. That's just science. I was so 1175 01:11:36,680 --> 01:11:38,600 Speaker 1: I was so ready for that to be one of 1176 01:11:38,600 --> 01:11:40,760 Speaker 1: those like bumbers tweets and they're like, but this is 1177 01:11:40,800 --> 01:11:45,080 Speaker 1: a really bad sign that the bear is overheated, right 1178 01:11:45,160 --> 01:11:52,200 Speaker 1: right right. You can find on Twitter at Jack Underscore O'Brien. 1179 01:11:52,479 --> 01:11:54,920 Speaker 1: You can find us on Twitter at daily zeitgeis. Were 1180 01:11:54,920 --> 01:11:57,720 Speaker 1: at the daily zeitgeis on Instagram. We have a Facebook 1181 01:11:57,720 --> 01:12:01,040 Speaker 1: fan page and a website daily like guys dot com, 1182 01:12:01,040 --> 01:12:04,160 Speaker 1: where we post our episodes and our foot notes where 1183 01:12:04,200 --> 01:12:06,639 Speaker 1: we link off to the information that we talked about 1184 01:12:06,720 --> 01:12:10,160 Speaker 1: today's episode, as well as the song we ride out 1185 01:12:10,200 --> 01:12:12,280 Speaker 1: on Miles. What are we going to ride out on today? 1186 01:12:12,479 --> 01:12:15,679 Speaker 1: Just go take it back to some Stereo lab um. 1187 01:12:15,680 --> 01:12:18,479 Speaker 1: This is Stereo Lab with the track called Diagonals. I 1188 01:12:18,520 --> 01:12:22,639 Speaker 1: think they're great band. Uh another band, Like most most 1189 01:12:22,680 --> 01:12:25,280 Speaker 1: bands I've come into contact with, is a function of 1190 01:12:25,360 --> 01:12:28,519 Speaker 1: some producer I like sampling them. But this track is 1191 01:12:28,560 --> 01:12:30,920 Speaker 1: really cool because like there's like this sort of rising 1192 01:12:30,960 --> 01:12:33,160 Speaker 1: pitch shifter on the drums in the very beginning, and 1193 01:12:33,160 --> 01:12:35,760 Speaker 1: you think like something's wrong with your inner ear equilibrium. 1194 01:12:35,880 --> 01:12:38,120 Speaker 1: It's not that, just how it's mixed, and then it 1195 01:12:38,160 --> 01:12:41,200 Speaker 1: starts getting into it. So just enjoy. This is Diagonals 1196 01:12:41,200 --> 01:12:49,639 Speaker 1: by Stereolab. Great band, great type of line. Diagonals. Well, 1197 01:12:49,640 --> 01:12:52,040 Speaker 1: The Daily zeit geys is a production of I Heart Radio. 1198 01:12:52,080 --> 01:12:54,360 Speaker 1: For more podcasts for My heart Radio, visit the I 1199 01:12:54,439 --> 01:12:57,080 Speaker 1: heart Radio app, Apple podcast, or wherever you listen to 1200 01:12:57,120 --> 01:13:01,280 Speaker 1: your favorite shows. That is gonna do it us this morning. 1201 01:13:01,360 --> 01:13:03,879 Speaker 1: We'll be back this afternoon to tell you what's trending 1202 01:13:04,040 --> 01:13:25,880 Speaker 1: and we'll talk to you then bye bye, good night. 1203 01:13:28,880 --> 01:13:32,719 Speaker 1: He's He's