1 00:00:05,559 --> 00:00:08,760 Speaker 1: This fucking Luca guy. Man, I'll tell you what a guy. 2 00:00:09,160 --> 00:00:13,080 Speaker 1: It was my la accent bro Yo, who's this? Oh 3 00:00:13,280 --> 00:00:16,200 Speaker 1: you see this fucking Luca guy. I wish he did 4 00:00:16,200 --> 00:00:20,160 Speaker 1: play for the nick so more people like freaking lucer Luca. 5 00:00:20,840 --> 00:00:26,640 Speaker 1: That is one of the wildest like accent flourishes, the 6 00:00:26,760 --> 00:00:29,120 Speaker 1: end of an a having to be an R. It's 7 00:00:29,200 --> 00:00:32,000 Speaker 1: British people too. I think I heard Elton John. I 8 00:00:32,040 --> 00:00:35,879 Speaker 1: capt Elton John doing it and like it'll take you 9 00:00:35,960 --> 00:00:38,560 Speaker 1: a couple of vodka and sodas. 10 00:00:40,000 --> 00:00:43,480 Speaker 2: Yeah, there was like an infamous like Lonely Island line 11 00:00:43,520 --> 00:00:46,599 Speaker 2: where they go like yesterday, I saw a film, as 12 00:00:46,640 --> 00:00:52,720 Speaker 2: I recalled, it was a horror film and it works. 13 00:00:53,159 --> 00:00:57,680 Speaker 1: It works in very specific parts of New York. Yeah, 14 00:00:57,720 --> 00:01:02,520 Speaker 1: but yeah, my friends was from grew up in in 15 00:01:02,600 --> 00:01:06,520 Speaker 1: New York City. Can't can't get a word ending in 16 00:01:06,600 --> 00:01:08,880 Speaker 1: a out without dropping that R on the end of 17 00:01:11,120 --> 00:01:16,720 Speaker 1: the exactly, you know, when he's not trying to do 18 00:01:16,760 --> 00:01:20,080 Speaker 1: the hard R, he's still exit by accident. He thought 19 00:01:20,120 --> 00:01:32,039 Speaker 1: he was being cool. Hello the Internet, and welcome to 20 00:01:32,120 --> 00:01:38,000 Speaker 1: season three, seventy eight, Episode four of Guy. How These 21 00:01:38,120 --> 00:01:42,240 Speaker 1: Episodes Fly? Episode four already of season three seventy eight. 22 00:01:42,920 --> 00:01:48,560 Speaker 1: I mean it feels like just yesterday. Oh, it's almost Friday. Friday. 23 00:01:48,920 --> 00:01:52,000 Speaker 1: There's like a Morning Zoo show when I was a kid, 24 00:01:52,680 --> 00:01:57,760 Speaker 1: when it was Friday, everyone scream that's Friday. That's everywhere. 25 00:01:58,080 --> 00:02:01,960 Speaker 1: That was everybody across Americas where I'm a strange come. 26 00:02:02,040 --> 00:02:05,760 Speaker 3: So that's from Big Boy's like growing up in La Radio, 27 00:02:05,840 --> 00:02:06,880 Speaker 3: working in La Radio. 28 00:02:06,960 --> 00:02:07,440 Speaker 1: That was what I think. 29 00:02:07,440 --> 00:02:09,399 Speaker 3: When Big Boys say his name, everyone goes big Way 30 00:02:09,720 --> 00:02:10,680 Speaker 3: like in the background. 31 00:02:11,160 --> 00:02:13,720 Speaker 1: That's just that's just basic. Morning Radio also had this 32 00:02:13,760 --> 00:02:16,480 Speaker 1: thing they said that was definitely unique to them. They said, 33 00:02:16,639 --> 00:02:21,000 Speaker 1: TG I F I think it was thank God it's Friday. 34 00:02:21,320 --> 00:02:27,480 Speaker 1: Whoa that was Dayton Dayton FM radio original I think. Anyways, 35 00:02:27,800 --> 00:02:31,160 Speaker 1: and this is a podcast where we take that Morning 36 00:02:31,240 --> 00:02:34,480 Speaker 1: Zoo energy and take a deep bab into America share consciousness. 37 00:02:34,760 --> 00:02:40,880 Speaker 1: It is Thursday, March six mm hmm. It's also National 38 00:02:41,000 --> 00:02:44,480 Speaker 1: Slam the scam Day Thursday. 39 00:02:44,040 --> 00:02:47,520 Speaker 3: Of It's it's Consumer Protection Week. I think this will 40 00:02:47,560 --> 00:02:49,560 Speaker 3: be I don't think we're gonna have this anymore. So 41 00:02:49,639 --> 00:02:53,840 Speaker 3: let's enjoy our last consumer protection Week ever, and then 42 00:02:53,880 --> 00:02:56,799 Speaker 3: the scams will be just people. We are gonna have 43 00:02:56,800 --> 00:02:58,040 Speaker 3: to add to our phone book in respect. 44 00:02:58,040 --> 00:03:01,960 Speaker 1: It's also National dress Day now, National White Chocolate Cheese 45 00:03:02,000 --> 00:03:06,480 Speaker 1: cake Day, National Oreo Cookie Day, National Frozen Food Day. 46 00:03:06,760 --> 00:03:08,640 Speaker 1: I think more to preserve food rather than like the 47 00:03:08,639 --> 00:03:12,000 Speaker 1: preservative laden frozen foods that you know I love to eat, 48 00:03:12,000 --> 00:03:14,639 Speaker 1: like those kids dinners with the weird brownie and the 49 00:03:14,680 --> 00:03:17,880 Speaker 1: penguin on It. Also National Dept's Day. Shoutout that shout 50 00:03:17,880 --> 00:03:21,280 Speaker 1: out teeth, shout out. Wow, we got some big ones Oreo. 51 00:03:21,919 --> 00:03:23,640 Speaker 1: I mean that's a that's a big one for me. 52 00:03:24,120 --> 00:03:26,520 Speaker 1: Shout out. That's a big one. You gotta tell you 53 00:03:26,600 --> 00:03:28,840 Speaker 1: take your kids aside. And then they got real specific 54 00:03:28,919 --> 00:03:31,560 Speaker 1: on the white chocolate cheesecake for some reason. Yeah. Again, 55 00:03:31,680 --> 00:03:34,360 Speaker 1: this is where honestly we should I just gotta be like, 56 00:03:34,360 --> 00:03:37,560 Speaker 1: how do I get Zeitgeist Day on here? Yeah, to 57 00:03:37,600 --> 00:03:42,600 Speaker 1: be honest, dollars yeah exactly. Four won't do it. Local, 58 00:03:42,760 --> 00:03:46,800 Speaker 1: won't do it, business commerce department or whatever. Damn it. 59 00:03:46,880 --> 00:03:49,600 Speaker 1: You know what we're doing exactly what this thing basically 60 00:03:49,640 --> 00:03:53,000 Speaker 1: is their sales pitch to companies. It's like seven benefits. 61 00:03:53,040 --> 00:03:56,320 Speaker 1: You get news, you get news coverage, and you enter 62 00:03:56,400 --> 00:04:02,080 Speaker 1: the conversation. Yeah, well got us cell phone. We got 63 00:04:02,080 --> 00:04:06,360 Speaker 1: nothing else, folks. Yeah, slam the scam day. I mean 64 00:04:06,400 --> 00:04:09,640 Speaker 1: it is sad because that did sound serious and like 65 00:04:09,680 --> 00:04:14,920 Speaker 1: they were going to pass some very legitimate legislation behind 66 00:04:15,080 --> 00:04:20,440 Speaker 1: the slam the scam. Nope, nope again, sounds like a 67 00:04:20,680 --> 00:04:24,960 Speaker 1: morning Zoo idea. Uh my name is Jack O'Brien aka 68 00:04:25,360 --> 00:04:29,520 Speaker 1: cost going up on a Tuesday, Musk get in the 69 00:04:29,560 --> 00:04:34,120 Speaker 1: house and he's douche stop. Mark is fucked on a Tuesday, 70 00:04:34,640 --> 00:04:38,640 Speaker 1: Tammy four oh one case days losing that one at 71 00:04:38,680 --> 00:04:46,279 Speaker 1: Christy Almagucci Man. Remember I love mconan. What a time 72 00:04:46,880 --> 00:04:50,560 Speaker 1: cousin of one of the producers who created the Daily 73 00:04:50,880 --> 00:04:55,119 Speaker 1: Heist main music that you hear, right, Yeah, Jimmy Greg cousin. 74 00:04:55,680 --> 00:04:59,560 Speaker 1: We love Mconyan, we love I love Mconaan. He's all right. 75 00:04:59,560 --> 00:05:01,120 Speaker 1: I don't know what up in him. I'm thrilled to 76 00:05:01,160 --> 00:05:04,279 Speaker 1: be joined as always buy my co host, mister Miles 77 00:05:04,360 --> 00:05:09,480 Speaker 1: Grass Miles Gray aka my Strops. Ain't all that sweet 78 00:05:10,000 --> 00:05:15,320 Speaker 1: masserration one. I'm jingling my teeth masserration but so thick 79 00:05:15,440 --> 00:05:19,080 Speaker 1: like it's glue. Come dial up beaties for you. Okay, 80 00:05:19,080 --> 00:05:21,080 Speaker 1: now this isn't this is that was to the tune 81 00:05:21,120 --> 00:05:24,839 Speaker 1: of operation and they were talking about macerated berries again 82 00:05:24,920 --> 00:05:29,400 Speaker 1: to create that juicy, delicious, sweet feeling that was just 83 00:05:29,800 --> 00:05:32,159 Speaker 1: a culinary phrase, brought it shot a housey on salad 84 00:05:32,200 --> 00:05:35,360 Speaker 1: for that combination of things. I saw that, I understood it. 85 00:05:35,640 --> 00:05:39,719 Speaker 1: Thank you, macerate your berries whenever possible. I thought that 86 00:05:39,720 --> 00:05:42,240 Speaker 1: that was a disgusting term. I did not know what 87 00:05:42,320 --> 00:05:45,440 Speaker 1: it meant, and I skipped right past it. Yeah, yeah, yeah, yeah, 88 00:05:45,440 --> 00:05:47,080 Speaker 1: what is that? Just like putting sugar on it and 89 00:05:47,080 --> 00:05:50,560 Speaker 1: then like warming it up, or you just just honestly 90 00:05:51,160 --> 00:05:54,359 Speaker 1: sugar put a little sprinkle, little sugar, a little sugar 91 00:05:54,400 --> 00:05:58,960 Speaker 1: on it, Yeah, okay, and then make it sounds like masturbation. Yeah. 92 00:05:59,040 --> 00:06:03,200 Speaker 1: For some reason, Miles, We're thrilled to be joined in 93 00:06:03,320 --> 00:06:07,480 Speaker 1: our third seat by one of our favorite guests who 94 00:06:07,560 --> 00:06:11,680 Speaker 1: hasn't been on in a while. Thrilled to have them back. 95 00:06:11,720 --> 00:06:15,919 Speaker 1: A hilarious stand up comedian, actor, writer, founding member of 96 00:06:16,160 --> 00:06:20,039 Speaker 1: Facial Recognition Comedy. You've seen her on Dear White People, 97 00:06:20,080 --> 00:06:22,839 Speaker 1: How to Get Away with Murder, all the up and 98 00:06:22,920 --> 00:06:27,200 Speaker 1: coming comedian lists stages across America. Please welcome back to 99 00:06:27,279 --> 00:06:29,240 Speaker 1: the show, visit de Son. 100 00:06:32,400 --> 00:06:34,360 Speaker 4: Guys. Thank you so much for having me. 101 00:06:34,640 --> 00:06:38,440 Speaker 5: Jack Miles doesn't feel like it's been a long time. 102 00:06:38,520 --> 00:06:40,600 Speaker 4: I know it has technically, but just. 103 00:06:40,680 --> 00:06:43,919 Speaker 1: I don't know the three long years it's been, and 104 00:06:43,960 --> 00:06:46,600 Speaker 1: we were just saying it doesn't. I don't even know 105 00:06:46,640 --> 00:06:48,200 Speaker 1: what a year means anymore, I. 106 00:06:48,160 --> 00:06:51,440 Speaker 5: Know, why does Is this a collective experience or is 107 00:06:51,440 --> 00:06:52,960 Speaker 5: this just something that happens with age? 108 00:06:53,000 --> 00:06:56,839 Speaker 4: The perception of time just feels like just a second, it's. 109 00:06:56,640 --> 00:07:00,600 Speaker 1: A I don't know. That's I wonder. I mean that 110 00:07:00,680 --> 00:07:03,440 Speaker 1: it affects all of us, but I don't even know 111 00:07:03,440 --> 00:07:05,159 Speaker 1: how to even talk about this in a smart way. 112 00:07:05,200 --> 00:07:07,400 Speaker 1: I don't know. Everybody I talk to is like, dang, 113 00:07:07,480 --> 00:07:10,800 Speaker 1: time goes by real quick. Huh the days are long? 114 00:07:11,120 --> 00:07:13,080 Speaker 1: Or yeah, the days are long, the years are short. 115 00:07:13,320 --> 00:07:18,400 Speaker 1: The podcasts are infinite, Like I feel, yeah, like podcast 116 00:07:18,440 --> 00:07:23,000 Speaker 1: time is because it's so much of being on in 117 00:07:23,040 --> 00:07:26,760 Speaker 1: the same format, Like it's just every episode is like 118 00:07:26,800 --> 00:07:30,920 Speaker 1: a drop in the infinite time loop of the daily zeitgeist. 119 00:07:31,040 --> 00:07:34,800 Speaker 1: For me, I don't I can hardly differentiate one episode 120 00:07:34,880 --> 00:07:36,880 Speaker 1: to the next. I'm like, yeah, as we were talking 121 00:07:36,880 --> 00:07:39,320 Speaker 1: about the other day, and it's like you mentioned that 122 00:07:39,400 --> 00:07:40,880 Speaker 1: in twenty eighteen. 123 00:07:43,360 --> 00:07:45,720 Speaker 4: Yeah, it's like in a little pocket Universe of Zone. 124 00:07:46,160 --> 00:07:50,560 Speaker 1: Yeah exactly, it's like Severance. Wow, but what do you 125 00:07:50,600 --> 00:07:54,920 Speaker 1: like doing the show? Yeah? Man, No, Severence is good. 126 00:07:55,760 --> 00:08:00,360 Speaker 1: They actually like their jobs. Okay, oh okay, soocho uh 127 00:08:00,720 --> 00:08:03,160 Speaker 1: fizz A. Wonderful to have you back. We're gonna get 128 00:08:03,200 --> 00:08:05,480 Speaker 1: to know you a little bit better in a moment. First, 129 00:08:05,520 --> 00:08:07,880 Speaker 1: we're gonna tell the listeners a couple of things we're 130 00:08:07,880 --> 00:08:11,640 Speaker 1: talking about. We're gonna talk about the experience of owning 131 00:08:11,680 --> 00:08:14,200 Speaker 1: a cyber truck. This has been a question that I've had. 132 00:08:14,320 --> 00:08:17,920 Speaker 1: What's it like for those people, I mean cyber truck 133 00:08:17,960 --> 00:08:21,520 Speaker 1: in particular, they should have known better when they when 134 00:08:21,520 --> 00:08:24,640 Speaker 1: they bought them, Like at that point he was well 135 00:08:24,680 --> 00:08:29,000 Speaker 1: on his way to the open Nazi salutes, et cetera. 136 00:08:29,480 --> 00:08:33,079 Speaker 1: But yeah, just like, what's that like to be associated 137 00:08:33,120 --> 00:08:36,120 Speaker 1: with Elon Musk these days? We'll check in with them. 138 00:08:36,440 --> 00:08:40,640 Speaker 1: We'll check in with The La Times. Obviously, there's the 139 00:08:40,679 --> 00:08:45,840 Speaker 1: famous billionaire owned paper of Jeff Bezos, the Washington Post. 140 00:08:46,160 --> 00:08:48,839 Speaker 1: But we got our own. Don't forget about us over 141 00:08:48,880 --> 00:08:53,720 Speaker 1: here in La The La Times has a billionaire owner 142 00:08:53,760 --> 00:08:57,199 Speaker 1: who's got some interesting ideas about how to keep things 143 00:08:57,240 --> 00:09:02,080 Speaker 1: fair and balanced. So we'll talk about that, We'll talk 144 00:09:02,120 --> 00:09:08,360 Speaker 1: about how Trump is saving neoliberalism in Canada inadvertently, all 145 00:09:08,400 --> 00:09:11,040 Speaker 1: of that plenty more. But first, physic we do like 146 00:09:11,120 --> 00:09:14,280 Speaker 1: to ask our guest, what is something from your search 147 00:09:14,600 --> 00:09:16,520 Speaker 1: history that's revealing about who you are? 148 00:09:16,920 --> 00:09:18,439 Speaker 5: I mean, I'll just give you the last thing that 149 00:09:19,360 --> 00:09:22,600 Speaker 5: I googled how many miles is going around the Earth? 150 00:09:23,320 --> 00:09:25,040 Speaker 5: And I was about to Yeah, I was about to 151 00:09:25,080 --> 00:09:27,880 Speaker 5: do an audition where I played a lab technician for 152 00:09:28,480 --> 00:09:32,040 Speaker 5: an auto manufacturer, and I don't know what that looks like. 153 00:09:32,200 --> 00:09:34,760 Speaker 5: So I just was thinking of facts that I could 154 00:09:34,840 --> 00:09:37,920 Speaker 5: just maybe spit out to seem like you know what 155 00:09:37,960 --> 00:09:41,000 Speaker 5: I'm talking about, Uh huh. In case you're curious, it's 156 00:09:41,480 --> 00:09:45,560 Speaker 5: Earth's circumference is twenty four nine hundred and one miles. 157 00:09:45,600 --> 00:09:47,559 Speaker 4: So if you are you going to. 158 00:09:47,559 --> 00:09:49,839 Speaker 1: Use that, just give me a little flavor how you're 159 00:09:49,840 --> 00:09:51,440 Speaker 1: going to drop that little fact in the audition. 160 00:09:52,440 --> 00:09:55,120 Speaker 5: Okay, So I was looking. I was sort of in 161 00:09:55,200 --> 00:09:58,760 Speaker 5: my mind's eye seeing a lab where a car was 162 00:09:58,800 --> 00:10:02,800 Speaker 5: being tested in the lap. So it's not physically driving 163 00:10:02,800 --> 00:10:04,760 Speaker 5: around right, driving on those. 164 00:10:04,600 --> 00:10:08,319 Speaker 1: Little wheel roller thing. Yeah, so a lot of treadmills. 165 00:10:08,679 --> 00:10:10,200 Speaker 5: I was really slick about it. I was kind of 166 00:10:10,200 --> 00:10:13,160 Speaker 5: cool about it. I was like, I was like, huh, 167 00:10:13,200 --> 00:10:16,120 Speaker 5: look at my little notepad. You've gone around the earth, 168 00:10:16,200 --> 00:10:16,560 Speaker 5: or I said. 169 00:10:16,600 --> 00:10:17,319 Speaker 4: I said the number. 170 00:10:17,360 --> 00:10:20,439 Speaker 5: It was like, uh, twenty four thousand and nine whatever 171 00:10:20,520 --> 00:10:22,560 Speaker 5: times ten, so it was like four hundred. 172 00:10:22,559 --> 00:10:23,000 Speaker 4: I don't remember. 173 00:10:23,040 --> 00:10:24,640 Speaker 1: I can't do it. Forty miles. 174 00:10:25,200 --> 00:10:28,400 Speaker 4: Yeah, you've been around the world ten times, the. 175 00:10:28,400 --> 00:10:31,800 Speaker 1: World ten times. Yeah, And then like a producer is like, 176 00:10:31,920 --> 00:10:35,960 Speaker 1: hold on one second, I think that's that's a circumference. 177 00:10:36,080 --> 00:10:39,040 Speaker 1: That's the actual circumference of the earth. Okay, oh yeah, 178 00:10:39,200 --> 00:10:42,080 Speaker 1: back out the math check now. We found her. We 179 00:10:42,120 --> 00:10:44,760 Speaker 1: found her. We found her. That's cool. That is a 180 00:10:44,800 --> 00:10:46,640 Speaker 1: fun fact. That's also like the sort of thing I'm 181 00:10:46,640 --> 00:10:49,959 Speaker 1: always looking up as a as a father, you know, right, 182 00:10:50,480 --> 00:10:54,120 Speaker 1: like kids have curious questions like that. So yeah, okay, 183 00:10:54,160 --> 00:10:55,920 Speaker 1: do you still remember how many feet in a mile? Jack? 184 00:10:57,840 --> 00:11:04,040 Speaker 1: It's either fifty to eighty. Yeah. Yeah. I always am 185 00:11:04,120 --> 00:11:07,640 Speaker 1: between twenty five hundred and eighty or fifty five two 186 00:11:07,720 --> 00:11:10,640 Speaker 1: hundred and eighty and never get it right. Hey, the 187 00:11:10,720 --> 00:11:13,400 Speaker 1: numbers are there though, the number I have the numbers, 188 00:11:13,480 --> 00:11:17,199 Speaker 1: they are in the wrong order everything, But that's all good, 189 00:11:17,480 --> 00:11:18,040 Speaker 1: that's right. 190 00:11:18,240 --> 00:11:20,680 Speaker 4: But you know what, They're in the cloud, that's. 191 00:11:20,600 --> 00:11:21,760 Speaker 1: Right there there. 192 00:11:22,480 --> 00:11:24,480 Speaker 5: If I don't know a fact, I'm like, it's in 193 00:11:24,520 --> 00:11:27,520 Speaker 5: the cloud. Let me just you know, google it bumpers down. 194 00:11:27,600 --> 00:11:29,080 Speaker 4: You know everything in it. 195 00:11:29,440 --> 00:11:33,520 Speaker 1: What is something physically you think is underrated? Oh? 196 00:11:33,640 --> 00:11:35,960 Speaker 4: Man, robes? I'm actually wearing one right now. 197 00:11:36,000 --> 00:11:39,360 Speaker 1: I'm gonna say I I caught that high pile fleece 198 00:11:39,679 --> 00:11:42,480 Speaker 1: robe with the leftoard print. Yeah. 199 00:11:43,120 --> 00:11:45,480 Speaker 5: I mean, I think people think of it as homewhere, 200 00:11:45,559 --> 00:11:48,040 Speaker 5: but I would love to bring robes out into the 201 00:11:48,080 --> 00:11:52,280 Speaker 5: world to formal events. Even they're I think they're stylish, 202 00:11:52,320 --> 00:11:55,160 Speaker 5: They're they're flattering, they cinch at the waist, which it 203 00:11:55,280 --> 00:11:57,480 Speaker 5: gives you a silhouette, keeps you warm. 204 00:11:57,760 --> 00:12:00,120 Speaker 4: I opted for a robe instead of a jacket today. 205 00:12:00,480 --> 00:12:04,559 Speaker 1: I mean historically, like like, aren't robes like the pop 206 00:12:04,600 --> 00:12:06,839 Speaker 1: in like the most popping ship you could wear, really, 207 00:12:07,040 --> 00:12:08,200 Speaker 1: you know what I mean? And then we just kind 208 00:12:08,240 --> 00:12:10,440 Speaker 1: of made them bathrobes. I feel like if somebody pulled 209 00:12:10,520 --> 00:12:14,559 Speaker 1: up like like an emperor, Yeah yeah, bring back to 210 00:12:14,760 --> 00:12:17,840 Speaker 1: fucking emperor robes. Now. This is this is how we 211 00:12:17,920 --> 00:12:21,880 Speaker 1: embrace the class war, is that we wear our bathrobes 212 00:12:21,920 --> 00:12:24,400 Speaker 1: out to show people like we are. We are the 213 00:12:24,600 --> 00:12:28,480 Speaker 1: you know, the nobility of you need something, you know, 214 00:12:28,600 --> 00:12:32,600 Speaker 1: like they're there are umbrellas in Hong Kong there, you know, 215 00:12:32,720 --> 00:12:36,360 Speaker 1: everybody like has their They had a bit of a 216 00:12:36,400 --> 00:12:39,360 Speaker 1: function too. Yeah, yeah, yeah, those are those are functional, 217 00:12:39,920 --> 00:12:43,400 Speaker 1: I think, But like bathrobes are functional in that they're 218 00:12:43,520 --> 00:12:48,120 Speaker 1: so fucking comfy. Yeah, so comfy. Who's gonna get I mean, 219 00:12:48,280 --> 00:12:50,280 Speaker 1: I feel like a billionaire that's their nightmare to I 220 00:12:50,280 --> 00:12:53,520 Speaker 1: would never wear a bathrobe in public. That's how would 221 00:12:53,520 --> 00:12:54,680 Speaker 1: they know I'm a billionaire. 222 00:12:55,240 --> 00:12:56,520 Speaker 3: And what I mean, I don't give a fuck. I'm 223 00:12:56,520 --> 00:13:00,000 Speaker 3: gonna be comfortable. This is my bathrobe. I've got multiple robes. 224 00:13:00,240 --> 00:13:03,400 Speaker 1: I'm not gonna front. There is the concept of pajama 225 00:13:03,520 --> 00:13:06,640 Speaker 1: rich that where you get so rich that you just 226 00:13:06,679 --> 00:13:10,640 Speaker 1: start wearing your pajamas out into public. Also, I feel 227 00:13:10,679 --> 00:13:13,680 Speaker 1: like wearing a pajama set is a flex Like I've 228 00:13:14,440 --> 00:13:17,000 Speaker 1: I like in one of these sort of like fire 229 00:13:17,040 --> 00:13:19,920 Speaker 1: relief clothing boxes I got. There are like many things 230 00:13:19,960 --> 00:13:22,720 Speaker 1: like were like nice pajama sets that were donated and 231 00:13:22,760 --> 00:13:25,199 Speaker 1: I'm like, I've never worn a pajama set in my life, 232 00:13:25,880 --> 00:13:27,400 Speaker 1: and part of me felt like I was the was 233 00:13:27,440 --> 00:13:29,920 Speaker 1: like class betrayal to like put on this like Brooks 234 00:13:29,920 --> 00:13:33,160 Speaker 1: Brothers pajama set, someone that donated. I'm like, I can't. 235 00:13:33,240 --> 00:13:36,040 Speaker 1: I can't wear this shit. I need to wear basketball 236 00:13:36,080 --> 00:13:38,640 Speaker 1: shorts and no shirt. Okay. So pajama rich comes I 237 00:13:38,640 --> 00:13:43,520 Speaker 1: think from a Bill Simmons The Sports Guy column where 238 00:13:43,520 --> 00:13:45,880 Speaker 1: he was talking about Jack Nicholson coming to a Lakers 239 00:13:45,920 --> 00:13:50,240 Speaker 1: game in his pajamas and nobody cared because he's pajama rich. 240 00:13:50,480 --> 00:13:55,000 Speaker 1: And Hugh Hefner also famously, I think the one person 241 00:13:55,040 --> 00:13:58,440 Speaker 1: who has pulled it off. It just needs to be 242 00:13:58,480 --> 00:14:01,240 Speaker 1: a fancy enough road, right Like Hugh Hefner's robes were 243 00:14:01,320 --> 00:14:04,600 Speaker 1: like silk and ship. You know it was a smoking 244 00:14:04,679 --> 00:14:07,720 Speaker 1: jacket that went down to the floor. Whereas you know 245 00:14:07,840 --> 00:14:10,080 Speaker 1: it just can't look past all the allegations when he 246 00:14:10,120 --> 00:14:16,040 Speaker 1: wears I'm just chilling. The thing about me is I'm 247 00:14:16,040 --> 00:14:18,440 Speaker 1: a chill How often you wear that robe? Is it? Like? 248 00:14:18,679 --> 00:14:20,160 Speaker 1: I know you say you like it, but are we? 249 00:14:20,240 --> 00:14:21,400 Speaker 1: Are we for real? Do you step in? 250 00:14:21,960 --> 00:14:24,200 Speaker 4: I wear a robe on a daily basis. 251 00:14:24,240 --> 00:14:26,080 Speaker 5: I'm known in my neighborhood as I have two big 252 00:14:26,160 --> 00:14:31,040 Speaker 5: huskies that I walked around the world. So this is 253 00:14:31,120 --> 00:14:33,320 Speaker 5: this is one rope I have. I have one in 254 00:14:33,400 --> 00:14:36,760 Speaker 5: black with a fuzzy, fuzzy neck collar. I have one 255 00:14:36,800 --> 00:14:38,920 Speaker 5: that says doctor desani, I'm not a doctor. 256 00:14:41,040 --> 00:14:45,240 Speaker 1: You have one that's like actual, like a doctor's lab 257 00:14:45,280 --> 00:14:49,960 Speaker 1: coat or a bathrobe that just that is giving white 258 00:14:50,000 --> 00:14:52,080 Speaker 1: coat scientists, doctor vibes. 259 00:14:52,440 --> 00:14:57,520 Speaker 5: I do have a white coat as well, just for yeah, 260 00:14:57,680 --> 00:15:00,840 Speaker 5: and to trick people into letting you get them shots. 261 00:15:01,160 --> 00:15:02,960 Speaker 3: That is the cool thing about being Asian. We can 262 00:15:03,040 --> 00:15:06,920 Speaker 3: lie about being a doctor anywhere. Yeah you know, doctor, 263 00:15:07,800 --> 00:15:08,520 Speaker 3: They're just not me. 264 00:15:09,240 --> 00:15:10,960 Speaker 1: Yeah. Oh yeah, I'll pull up. I'll pull up in 265 00:15:11,000 --> 00:15:12,560 Speaker 1: a hoodie and just say I'm a doctor and people like, 266 00:15:12,560 --> 00:15:16,040 Speaker 1: oh thank you. I'm like yeah, and I'm in I'm 267 00:15:16,080 --> 00:15:18,120 Speaker 1: in dermatology. That's what my skin looks like this. Can 268 00:15:18,200 --> 00:15:19,080 Speaker 1: you pick out the way now? 269 00:15:19,640 --> 00:15:25,320 Speaker 5: Shirtless and shoeless, I'm a dermatologist, a p dietrist. 270 00:15:26,160 --> 00:15:29,320 Speaker 1: Do it all. That's right. Do you think you've walked 271 00:15:29,360 --> 00:15:33,400 Speaker 1: your dogs twenty four nine and one miles? Oh absolutely, yeah, 272 00:15:33,560 --> 00:15:35,000 Speaker 1: you've done a full lap. 273 00:15:35,520 --> 00:15:39,120 Speaker 4: Yeah, I do about I do about like five miles 274 00:15:39,160 --> 00:15:39,440 Speaker 4: a day. 275 00:15:40,520 --> 00:15:41,320 Speaker 1: Let me do that back. 276 00:15:41,600 --> 00:15:43,360 Speaker 4: It's twenty four thousand whatever. 277 00:15:43,520 --> 00:15:46,760 Speaker 1: Divide yeah, yeah, no, it checks out. Wait, you do 278 00:15:46,920 --> 00:15:49,520 Speaker 1: five miles of dog walking a day total? 279 00:15:49,760 --> 00:15:53,320 Speaker 3: Yeah, damn that doesn't fucking I have a small dog 280 00:15:53,680 --> 00:15:57,320 Speaker 3: this day and he hates walking. He's let's take a ship. 281 00:15:57,760 --> 00:15:59,000 Speaker 3: I gotta go back inside. 282 00:15:59,080 --> 00:16:00,600 Speaker 1: I'm not. He's like small, you know what I mean. 283 00:16:00,680 --> 00:16:03,400 Speaker 1: So there's like different levels of exercise that they need. 284 00:16:03,880 --> 00:16:06,120 Speaker 1: But damn, that's a fucking that's a good walk you 285 00:16:06,200 --> 00:16:08,160 Speaker 1: could take. Listen to a lot of shit on that one, 286 00:16:09,040 --> 00:16:11,760 Speaker 1: all right. And what fizza is something that you think 287 00:16:12,000 --> 00:16:13,000 Speaker 1: is overrated? 288 00:16:13,680 --> 00:16:17,640 Speaker 5: Apple air pods or any sort of earbuds that just 289 00:16:17,920 --> 00:16:20,280 Speaker 5: stick inside your ear and don't have something that attaches 290 00:16:20,320 --> 00:16:22,640 Speaker 5: to your ear. This is more of a personal thing. 291 00:16:22,720 --> 00:16:27,560 Speaker 5: I just hate the way it feels. Yeah, and they 292 00:16:27,640 --> 00:16:30,160 Speaker 5: fall out, and I just you know, when you're on 293 00:16:30,160 --> 00:16:33,200 Speaker 5: an airplane, you're you feel like like your ear is 294 00:16:33,360 --> 00:16:35,280 Speaker 5: stuff up. I don't know, I feel like it. 295 00:16:35,320 --> 00:16:37,160 Speaker 1: Feels like how do you feel? Yeah? 296 00:16:37,920 --> 00:16:41,120 Speaker 3: I feel oh like just from the pressure seal like around. 297 00:16:41,200 --> 00:16:43,480 Speaker 3: It just feels a little bit. Yeah, okay, I get that. 298 00:16:44,040 --> 00:16:46,360 Speaker 1: And the noise cancelation on those does freak me out 299 00:16:46,360 --> 00:16:47,600 Speaker 1: a little bit. Where you put it in and it's 300 00:16:47,680 --> 00:16:50,280 Speaker 1: just like zoom. You feel like you're just like inside 301 00:16:50,320 --> 00:16:52,360 Speaker 1: a balloon all of a sudden, What the fuck is 302 00:16:52,440 --> 00:16:55,360 Speaker 1: going on here? Yeah? I love that, Like equal my 303 00:16:55,520 --> 00:16:57,320 Speaker 1: equilibrium gets a little fucked. 304 00:16:57,160 --> 00:17:01,760 Speaker 4: Up, falling because I have no balance, went like. 305 00:17:02,440 --> 00:17:09,480 Speaker 1: Ies crossing, You're like, bro, they put it like during 306 00:17:09,560 --> 00:17:11,320 Speaker 1: the testing of the AirPods, they put it in and 307 00:17:11,359 --> 00:17:16,040 Speaker 1: people just start falling over the early ones. Good yeah, 308 00:17:19,000 --> 00:17:21,800 Speaker 1: oh god, get it up. Have you seen that? I 309 00:17:22,440 --> 00:17:24,840 Speaker 1: actually really like that sensation. I don't know why. 310 00:17:25,040 --> 00:17:26,800 Speaker 3: I think I was, like, I'm one of those kids 311 00:17:26,840 --> 00:17:29,359 Speaker 3: who like tried to hide in the tiniest boxes, Like 312 00:17:29,359 --> 00:17:30,960 Speaker 3: I'm the opposite of claustrophobic. 313 00:17:31,080 --> 00:17:33,760 Speaker 1: I like to claustrophilic. I guess that's why they're drawn 314 00:17:33,800 --> 00:17:35,920 Speaker 1: to each other miles. Yeah, and why we just hold 315 00:17:35,960 --> 00:17:37,720 Speaker 1: each other so tight. Wheah you see each other. 316 00:17:37,800 --> 00:17:40,200 Speaker 4: Maybe you guys can share a coffin in the afterlife. 317 00:17:40,280 --> 00:17:43,959 Speaker 1: Yeah, that's right. It wouldn't be tight enough. How are 318 00:17:44,040 --> 00:17:54,120 Speaker 1: we face or uh penis to button or six classic 319 00:17:55,480 --> 00:17:59,480 Speaker 1: that's like Lincoln lugs exactly, or they don't fit or 320 00:17:59,520 --> 00:18:01,720 Speaker 1: they don't fit right. But yeah, like have you seen 321 00:18:01,760 --> 00:18:04,200 Speaker 1: those clips of like those rooms that are truly like 322 00:18:04,400 --> 00:18:07,720 Speaker 1: sound vacuums, like they're designed for no sound waves to 323 00:18:07,840 --> 00:18:10,560 Speaker 1: like move in them. Yeah, though they're like total back. 324 00:18:10,640 --> 00:18:12,600 Speaker 1: I think they have to be like have the air 325 00:18:12,920 --> 00:18:14,919 Speaker 1: sucked out of them, like yeah, yeah yeah, And they 326 00:18:14,960 --> 00:18:17,639 Speaker 1: say that is so disorienting, and part of me is like, bro, 327 00:18:17,840 --> 00:18:20,240 Speaker 1: I want to know that. I want to know the 328 00:18:20,280 --> 00:18:22,600 Speaker 1: extreme of most humans in sensations. 329 00:18:22,640 --> 00:18:25,560 Speaker 3: So if y'all work in one of those research facilities 330 00:18:25,600 --> 00:18:27,600 Speaker 3: and you can, if you're down to have a four 331 00:18:27,720 --> 00:18:29,199 Speaker 3: year old just come through to fuck around in there 332 00:18:29,240 --> 00:18:30,200 Speaker 3: for like five minutes. 333 00:18:29,960 --> 00:18:32,800 Speaker 1: Through, let me know. Yeah. I think those cost like 334 00:18:33,000 --> 00:18:35,639 Speaker 1: millions of dollars to create, Like they create them for 335 00:18:36,560 --> 00:18:40,080 Speaker 1: like to to build like the James web Space Telescope 336 00:18:40,080 --> 00:18:41,800 Speaker 1: and like shit like that where they can't have any 337 00:18:42,080 --> 00:18:45,160 Speaker 1: germs or like imperfections touching a thing. They'll like create 338 00:18:45,280 --> 00:18:47,840 Speaker 1: a whole room that's a vacuum, so that like the 339 00:18:48,000 --> 00:18:50,000 Speaker 1: germs is like fall right to the ground or whatever. 340 00:18:50,400 --> 00:18:52,320 Speaker 1: But you're like, hey, could I just like kind of 341 00:18:52,400 --> 00:18:56,399 Speaker 1: drunk drive through there? Yeah? I can? I play some 342 00:18:56,520 --> 00:18:59,399 Speaker 1: SoundCloud off my cell phone in here? Well tell me 343 00:18:59,440 --> 00:19:04,280 Speaker 1: your doctor, yeah exactly exactly. They're like, are those official 344 00:19:04,359 --> 00:19:09,800 Speaker 1: doctors sandals you're wearing? Yeah? The doctors. Doctors wear some 345 00:19:10,000 --> 00:19:13,920 Speaker 1: fucked up shoes because they need comfort. You know, they're 346 00:19:13,960 --> 00:19:16,720 Speaker 1: on their feet all day. So you're good there. Yeah, 347 00:19:16,760 --> 00:19:21,000 Speaker 1: that's true. The white robe is like approximating it, but 348 00:19:21,080 --> 00:19:25,240 Speaker 1: it's clearly a bathrobe. And doctor Miles is written in sharp. 349 00:19:25,760 --> 00:19:28,600 Speaker 1: That's the one thing that's fucking it up. I spell 350 00:19:28,720 --> 00:19:31,600 Speaker 1: Miles with like white tape, all crudely, just on that. 351 00:19:32,359 --> 00:19:34,640 Speaker 1: And you have loose cigarettes coming out of your podcast. 352 00:19:35,000 --> 00:19:38,480 Speaker 3: And I'm wearing I'm wearing a commemorative Scrubs Rewatch podcast 353 00:19:38,600 --> 00:19:40,760 Speaker 3: t shirt. I'd be like, dude, I'm a doctor. Why 354 00:19:40,800 --> 00:19:43,000 Speaker 3: would I be wearing this because my favorite podcast. Yeah, 355 00:19:43,040 --> 00:19:47,680 Speaker 3: went to medical school. Yeah, watching Scrubs one and a 356 00:19:47,720 --> 00:19:52,560 Speaker 3: half times all the way through. All right, let's uh, 357 00:19:52,760 --> 00:19:55,000 Speaker 3: let's take a quick break, should we Should we do that? 358 00:19:55,080 --> 00:19:56,919 Speaker 1: Should we take a little break? Do we come back 359 00:19:56,960 --> 00:20:00,160 Speaker 1: and talk about some news? Yes, let's do it. I'll 360 00:20:00,160 --> 00:20:15,320 Speaker 1: be right back and we're back. And I've been waiting 361 00:20:15,400 --> 00:20:18,639 Speaker 1: for the backlash, and I mean it's coming. Like Tesla 362 00:20:18,720 --> 00:20:21,640 Speaker 1: stock is way down right like that, it's going down 363 00:20:21,720 --> 00:20:25,560 Speaker 1: and doing badly, not readily as I think it deserves, 364 00:20:25,640 --> 00:20:28,320 Speaker 1: but it's been badly. It's definitely on its way down. 365 00:20:28,640 --> 00:20:31,520 Speaker 1: There's definitely a lot of debate over if it's actual 366 00:20:31,640 --> 00:20:34,680 Speaker 1: people boycotting the brand, if it's just generally it's on 367 00:20:34,760 --> 00:20:37,959 Speaker 1: a downward slope because Tesla's have become less of desirable 368 00:20:38,040 --> 00:20:40,879 Speaker 1: in the EV market, but because like there are some 369 00:20:41,080 --> 00:20:44,119 Speaker 1: that are claiming they're like, yes, yes, folks, this is 370 00:20:44,200 --> 00:20:45,960 Speaker 1: what we did to Elon Musk and know people like, 371 00:20:46,320 --> 00:20:48,480 Speaker 1: it's hard to exactly say if it's just because the 372 00:20:48,560 --> 00:20:51,600 Speaker 1: Trump shitter, just because the guys sucks overall and people 373 00:20:51,680 --> 00:20:54,119 Speaker 1: fucking hate him. It's hard to tell, but it is, 374 00:20:54,320 --> 00:20:59,160 Speaker 1: it's not doing great, but also it's yeah, it's volid. 375 00:20:59,280 --> 00:21:02,040 Speaker 1: It's always been volatile. It was at its peak like 376 00:21:02,280 --> 00:21:07,199 Speaker 1: after he after the election, like right after I think 377 00:21:07,240 --> 00:21:10,719 Speaker 1: Inauguration day, right before I guess like December was its 378 00:21:10,840 --> 00:21:15,080 Speaker 1: peak of all time, and since then it has fallen sharply, 379 00:21:15,840 --> 00:21:19,400 Speaker 1: but probably, you know, hard to differentiate as of yet. 380 00:21:20,119 --> 00:21:23,720 Speaker 1: I do just feel like it's got to be so 381 00:21:23,960 --> 00:21:27,119 Speaker 1: much less cool to own a Tesla now than it 382 00:21:27,280 --> 00:21:31,320 Speaker 1: ever has been in the history of that car or 383 00:21:31,440 --> 00:21:34,520 Speaker 1: any maybe Volkswagen during World War Two. But it's not 384 00:21:34,840 --> 00:21:39,680 Speaker 1: not that people didn't put it together. I don't think 385 00:21:39,680 --> 00:21:42,920 Speaker 1: they were super popular anyway. It's Hitler's what's wait, what's 386 00:21:42,960 --> 00:21:46,080 Speaker 1: that car he's in right now? I think that. Well, 387 00:21:46,400 --> 00:21:49,119 Speaker 1: I don't know about driving around LA. I see people 388 00:21:49,440 --> 00:21:51,199 Speaker 1: going hard as cyber trucks. 389 00:21:51,560 --> 00:21:56,160 Speaker 6: I admittedly have also gone hard as a cyber truck owner. Yeah, 390 00:21:56,160 --> 00:21:59,520 Speaker 6: I didn't do middle fingers, yeah, because my dad taught 391 00:21:59,560 --> 00:22:01,879 Speaker 6: me better. But the thing I do is I'll give 392 00:22:01,920 --> 00:22:04,760 Speaker 6: a thumbs down like this, just straight up, straight up. 393 00:22:05,000 --> 00:22:07,159 Speaker 6: I think this is I think a thumbs down like 394 00:22:07,600 --> 00:22:09,240 Speaker 6: just seeing like, you know, the ship where like you're 395 00:22:09,280 --> 00:22:11,719 Speaker 6: in sort of bumper to bumper traffic and you're facing 396 00:22:11,800 --> 00:22:13,840 Speaker 6: the opposite lane of traffic, so like I could look 397 00:22:13,880 --> 00:22:16,400 Speaker 6: dead into the driver's eye. I'll just do some ship 398 00:22:16,520 --> 00:22:20,280 Speaker 6: like I'm fucking what's the hero? I'll be like this no, 399 00:22:21,359 --> 00:22:24,640 Speaker 6: And some people are like fuck you and really get masked. 400 00:22:24,680 --> 00:22:26,359 Speaker 1: Some people get it reaction because part of me just 401 00:22:26,400 --> 00:22:28,640 Speaker 1: feels like it's the most childish way to say fuck 402 00:22:28,720 --> 00:22:31,960 Speaker 1: you is just yes, wow, thumbs down. 403 00:22:32,280 --> 00:22:34,040 Speaker 5: But back in the day and what is the Roman 404 00:22:34,280 --> 00:22:37,840 Speaker 5: Times or Greek Times at the Amphitheater. 405 00:22:38,560 --> 00:22:40,080 Speaker 4: Yeah, that was like life or dead. 406 00:22:40,200 --> 00:22:42,600 Speaker 1: So and these motherfuckers do be thinking about ancient Rome, 407 00:22:42,680 --> 00:22:44,920 Speaker 1: so maybe they are taking to be something. Damn, he 408 00:22:45,080 --> 00:22:47,280 Speaker 1: just threatened our life. Yeah, so you have to be 409 00:22:47,440 --> 00:22:49,720 Speaker 1: like no, but in a Ciscle and Ebert way. 410 00:22:50,080 --> 00:22:52,560 Speaker 5: But you know what, some of them deserve that because 411 00:22:52,560 --> 00:22:54,560 Speaker 5: I almost me and my dogs were walking. We almost 412 00:22:54,600 --> 00:22:57,440 Speaker 5: got hit by a cyber truck that that ran a 413 00:22:57,480 --> 00:22:59,480 Speaker 5: stop signed. So that guy gets a thumb. 414 00:22:59,320 --> 00:23:01,600 Speaker 1: Down, you know, yeah, I would agree with that, but 415 00:23:01,840 --> 00:23:03,800 Speaker 1: I mean for something like that that's a little more existential. 416 00:23:03,800 --> 00:23:05,000 Speaker 3: I think you can go harder than a thumbs down 417 00:23:05,440 --> 00:23:07,119 Speaker 3: to each their own. You don't have to engage all 418 00:23:07,160 --> 00:23:10,800 Speaker 3: these people. But yes, the brand is not strong in 419 00:23:10,880 --> 00:23:12,720 Speaker 3: this city, and it's to the point where people have 420 00:23:12,800 --> 00:23:15,920 Speaker 3: to put like help me bumper stickers on their tesla's 421 00:23:15,960 --> 00:23:18,240 Speaker 3: where they're like, hey, this was before the guy came 422 00:23:18,280 --> 00:23:20,680 Speaker 3: out as a fascist dick bag. Is when I buy 423 00:23:20,840 --> 00:23:23,560 Speaker 3: this further record, I didn't buy it because but I 424 00:23:23,640 --> 00:23:26,760 Speaker 3: think that's why cyber truck owners get the stick because 425 00:23:26,800 --> 00:23:29,880 Speaker 3: this shit has been for purchase in the New Boy 426 00:23:29,960 --> 00:23:33,480 Speaker 3: era musk and there's real no plausible deniability around whether 427 00:23:33,560 --> 00:23:35,920 Speaker 3: or not you like who's your politics, It did or 428 00:23:35,960 --> 00:23:39,439 Speaker 3: didn't affect your purchase yeah, either way, a. 429 00:23:39,480 --> 00:23:43,119 Speaker 5: Cyber truck let me merge and I just had cognitive dissonance. 430 00:23:43,200 --> 00:23:44,520 Speaker 5: It was very difficult for me. 431 00:23:45,119 --> 00:23:48,200 Speaker 1: Yeah, you just slammed the brakes and break checked it 432 00:23:48,240 --> 00:23:51,720 Speaker 1: to get over and it's like, fucking I had to 433 00:23:51,800 --> 00:23:54,240 Speaker 1: do something. But in so, they've been in the news 434 00:23:54,320 --> 00:23:56,640 Speaker 1: this week. First of all, Tesla's been in the news. 435 00:23:56,680 --> 00:24:01,520 Speaker 1: Somebody lit I think the first Tesla not factory, but 436 00:24:01,640 --> 00:24:06,040 Speaker 1: the first Tesla like showroom in France on fire and 437 00:24:06,119 --> 00:24:08,359 Speaker 1: burnt it to the ground. Oh yeah, you know how 438 00:24:08,400 --> 00:24:12,879 Speaker 1: France do. But there's just been a smattering of stories 439 00:24:12,920 --> 00:24:16,720 Speaker 1: that suggest that owning a cyber truck means being subjected 440 00:24:16,800 --> 00:24:20,480 Speaker 1: to never end, to a never ending gauntlet of embarrassment 441 00:24:20,560 --> 00:24:23,800 Speaker 1: and shame. So there was Marty Grass Parade in New 442 00:24:23,920 --> 00:24:27,440 Speaker 1: Orleans and a cyber truck rolled up and it was 443 00:24:27,600 --> 00:24:31,119 Speaker 1: like all black but then had like flashing lights and 444 00:24:31,400 --> 00:24:34,800 Speaker 1: kind of looked a little like the car from Night 445 00:24:34,920 --> 00:24:38,480 Speaker 1: Rider was had some interesting stuff like I think in 446 00:24:38,560 --> 00:24:41,240 Speaker 1: a yeah, it looked a little like kit but like 447 00:24:41,400 --> 00:24:43,520 Speaker 1: also the lights were flashing on the top, so it 448 00:24:43,600 --> 00:24:46,600 Speaker 1: could look like a cop car a little bit. But 449 00:24:46,800 --> 00:24:51,000 Speaker 1: the second that rolled up, cops cyber trucks. Are they 450 00:24:51,080 --> 00:24:55,359 Speaker 1: really Yeah yeah, wow, Yeah. The second that ship rolled up, 451 00:24:55,400 --> 00:25:01,320 Speaker 1: it was just mercilessly booed un from the time it 452 00:25:01,520 --> 00:25:03,960 Speaker 1: was in sight of the people on the side of 453 00:25:04,000 --> 00:25:06,480 Speaker 1: the road. Some people on Reddit were also claiming that 454 00:25:06,560 --> 00:25:10,960 Speaker 1: the car was pelted with beads aggressively until a window broke. 455 00:25:11,640 --> 00:25:13,400 Speaker 4: Oh this windows suck. 456 00:25:14,400 --> 00:25:17,280 Speaker 1: Yeah, those windows that are supposed to be indestructible. Those 457 00:25:17,280 --> 00:25:20,760 Speaker 1: accounts are unconfirmed and yet very funny. Wait, okay, so 458 00:25:20,920 --> 00:25:30,840 Speaker 1: this is wow. This thing looks annoying as fun Wow. Okay, 459 00:25:31,240 --> 00:25:34,360 Speaker 1: well yeah, that's I don't know what that person thought 460 00:25:34,400 --> 00:25:38,919 Speaker 1: the reaction was gonna be. Yeah, dude, my ass car. 461 00:25:39,040 --> 00:25:42,240 Speaker 1: Everyone's gonna fucking They probably like lived their life on 462 00:25:43,280 --> 00:25:45,800 Speaker 1: I guess my thought heading into this was like, oh, 463 00:25:45,800 --> 00:25:50,119 Speaker 1: they probably lived their life on like cyber truck enthusiast forums. 464 00:25:50,240 --> 00:25:52,879 Speaker 1: But as we'll get to even those are not safe. 465 00:25:52,960 --> 00:25:55,960 Speaker 1: Those are just people sharing horror stories of what it's 466 00:25:56,080 --> 00:25:58,320 Speaker 1: like to drive around in a cyber truck. There's a 467 00:25:58,400 --> 00:26:01,840 Speaker 1: report on four or four media about a Facebook group 468 00:26:01,880 --> 00:26:05,560 Speaker 1: for cyber truck owners in which they commiserate about the 469 00:26:05,640 --> 00:26:08,440 Speaker 1: shared hell of driving around in a cyber truck. Apparently 470 00:26:08,480 --> 00:26:12,600 Speaker 1: people are constantly leaving notes containing messages like Nazi car 471 00:26:13,160 --> 00:26:20,080 Speaker 1: and what's Elon's cum taste like, which is another way 472 00:26:20,119 --> 00:26:22,440 Speaker 1: of giving the thumbs down a little bit more explicit. 473 00:26:23,040 --> 00:26:25,760 Speaker 1: That must be so shattering to some cyber truck owner's 474 00:26:25,800 --> 00:26:28,359 Speaker 1: soul to be like, but this is the stuff I 475 00:26:28,480 --> 00:26:30,680 Speaker 1: should post on four chan coming back at me. 476 00:26:32,640 --> 00:26:34,440 Speaker 4: Elon must come is delicious. 477 00:26:36,240 --> 00:26:39,600 Speaker 1: It's really good. It's actually better than So that's some 478 00:26:39,840 --> 00:26:42,639 Speaker 1: famous misconception, is that it wouldn't be good, but it's 479 00:26:42,720 --> 00:26:45,920 Speaker 1: actually good. So you're actually the one who looks stupid 480 00:26:46,040 --> 00:26:53,280 Speaker 1: right now, hired taste. Yeah yeah. People also kick the 481 00:26:53,400 --> 00:26:57,760 Speaker 1: cars throw quote slices of cheese at them for some reason. 482 00:26:58,440 --> 00:27:01,640 Speaker 1: No word on whether the cheese has shattered any windows. Yeah, 483 00:27:01,720 --> 00:27:04,639 Speaker 1: well probably. I think this is the thing that I 484 00:27:04,680 --> 00:27:07,280 Speaker 1: also see too, is the amount of people who cope 485 00:27:07,320 --> 00:27:09,960 Speaker 1: with their cyber truck and they're like, dude, it's just 486 00:27:10,040 --> 00:27:12,359 Speaker 1: like such a fucking truck. Dude is so sick, Like 487 00:27:12,440 --> 00:27:14,480 Speaker 1: it just does all this truck stuff because it's like 488 00:27:14,600 --> 00:27:18,160 Speaker 1: man truck and I'm truck man with it. And there's 489 00:27:18,240 --> 00:27:21,040 Speaker 1: also so many videos of it absolutely failing to do 490 00:27:21,160 --> 00:27:23,880 Speaker 1: the most basic things like drive in just a little 491 00:27:23,920 --> 00:27:25,639 Speaker 1: bit of snow or all this other stuff. 492 00:27:26,000 --> 00:27:29,080 Speaker 3: And it's interesting to see how, like obviously with Elon 493 00:27:29,160 --> 00:27:31,920 Speaker 3: Musk ascending to like the heights of government and sort 494 00:27:31,960 --> 00:27:35,120 Speaker 3: of being like the winner at the moment in terms 495 00:27:35,160 --> 00:27:39,240 Speaker 3: of like the socio political environment, that that hasn't really 496 00:27:39,359 --> 00:27:43,440 Speaker 3: changed anything about traditional mask like American male masculinity. Like 497 00:27:43,640 --> 00:27:46,240 Speaker 3: a truck is still like a Ford or a Dodge 498 00:27:46,480 --> 00:27:48,800 Speaker 3: or a Chevy, you know what I mean, not this 499 00:27:49,200 --> 00:27:52,520 Speaker 3: fucking weird like drawing of like from a fucking you know, 500 00:27:52,640 --> 00:27:56,440 Speaker 3: octagonal like video game rendering car. And I don't know, Like, 501 00:27:56,480 --> 00:27:58,879 Speaker 3: it's interesting to see how there's still that group of 502 00:27:58,920 --> 00:27:59,560 Speaker 3: people who are like. 503 00:27:59,560 --> 00:28:02,320 Speaker 1: Well, now younes on top. Behold, I'm one of these 504 00:28:02,359 --> 00:28:06,160 Speaker 1: cyber truck guys. Now you'll celebrate me. Right, Wait, what's 505 00:28:06,200 --> 00:28:09,960 Speaker 1: his com taste? Like? Hold on, but I thought we're winning. 506 00:28:10,520 --> 00:28:13,040 Speaker 1: First of all, probably delicious. Second of all, how would 507 00:28:13,080 --> 00:28:17,720 Speaker 1: I know? Okay, yeah, yeah, but there's so these cyber 508 00:28:17,800 --> 00:28:21,280 Speaker 1: truck groups. Facebook groups are you know, first of all 509 00:28:21,400 --> 00:28:24,840 Speaker 1: entertaining because you get to see the collection of all 510 00:28:25,040 --> 00:28:29,000 Speaker 1: all the people flinging them off. But it also reveals 511 00:28:29,040 --> 00:28:32,280 Speaker 1: something scary, which is that cyber trucks are outfitted with 512 00:28:32,520 --> 00:28:36,800 Speaker 1: so many cameras that they can catch like every they're like, look, 513 00:28:36,840 --> 00:28:39,720 Speaker 1: this person's rolling their eyes as they drive by in 514 00:28:39,800 --> 00:28:42,320 Speaker 1: the opposite lane on the four or five right right, 515 00:28:42,560 --> 00:28:46,680 Speaker 1: like they have just like super obsess over it. They're 516 00:28:46,720 --> 00:28:50,400 Speaker 1: insecurities played by plate. Oh my god, this fucking guy 517 00:28:50,480 --> 00:28:53,960 Speaker 1: gave me three thumbs downs those recording in century mode. 518 00:28:54,240 --> 00:28:56,880 Speaker 1: That's what they call it, century mode Jesus. 519 00:28:57,320 --> 00:29:01,280 Speaker 3: Yeah, well, I've also seen people post like how the 520 00:29:01,400 --> 00:29:04,080 Speaker 3: camera rays work, and they're like being like, it's there 521 00:29:04,080 --> 00:29:05,560 Speaker 3: aren't that many blind spots. 522 00:29:05,720 --> 00:29:07,560 Speaker 1: But hey, yeah, I don't know. I don't know if 523 00:29:07,560 --> 00:29:09,840 Speaker 1: anyone is a tesla mechanic and you can tell us 524 00:29:09,880 --> 00:29:14,800 Speaker 1: how to completely render those cameras useless, maybe by simply 525 00:29:14,880 --> 00:29:18,360 Speaker 1: turning it on because it's a tesla. But I'm curious 526 00:29:18,360 --> 00:29:21,360 Speaker 1: to know these kinds of tips and tricks. Yeah, they're 527 00:29:21,960 --> 00:29:26,160 Speaker 1: they're also trying to identify the people who like who 528 00:29:26,560 --> 00:29:29,720 Speaker 1: are flipping them off for giving them thumbs down. Miles, 529 00:29:29,800 --> 00:29:31,520 Speaker 1: you should you should go on these forums to make 530 00:29:31,560 --> 00:29:35,720 Speaker 1: sure very very free speech, very free speech absolutist, I know, right, Yeah, 531 00:29:37,200 --> 00:29:40,440 Speaker 1: we're all about free speech and uh you know, making 532 00:29:40,840 --> 00:29:44,960 Speaker 1: comedy legal. I'm gonna I'm gonna fucking sue that twelve 533 00:29:45,040 --> 00:29:48,720 Speaker 1: year old that rolled their eyes at me. Oh Jesus Christ, 534 00:29:49,120 --> 00:29:51,440 Speaker 1: God bless you. We tell you about that time when 535 00:29:51,480 --> 00:29:55,160 Speaker 1: I first learned the flip off motion like this one, 536 00:29:55,840 --> 00:29:59,360 Speaker 1: you know, the the arm the yeah, the full four. 537 00:30:00,640 --> 00:30:02,800 Speaker 1: My friend and I when we were like five, learned 538 00:30:02,880 --> 00:30:05,760 Speaker 1: that and then we just went in my backyard to 539 00:30:05,880 --> 00:30:08,640 Speaker 1: the street that went behind my house and just flipped 540 00:30:08,640 --> 00:30:15,440 Speaker 1: off everything that like just full, full, whole body flip off. 541 00:30:16,560 --> 00:30:17,280 Speaker 4: What does that imply? 542 00:30:17,520 --> 00:30:20,000 Speaker 5: Elbow deep Like that's way worse than a finger, like, 543 00:30:20,320 --> 00:30:24,800 Speaker 5: you know, I don't know, I'm just going off. 544 00:30:24,760 --> 00:30:27,000 Speaker 1: The you know, makes does make more sense, like because 545 00:30:27,000 --> 00:30:30,200 Speaker 1: you're stopping at a certain point, but it's like, so universe, 546 00:30:30,240 --> 00:30:30,920 Speaker 1: I'm gonna. 547 00:30:30,680 --> 00:30:36,160 Speaker 7: Stick my fist up yours. You're giving them, Yeah, yeah, 548 00:30:36,560 --> 00:30:39,520 Speaker 7: up to the bicep. Anything more would be would be 549 00:30:39,960 --> 00:30:42,200 Speaker 7: would be a little I believe, yeah, or I would 550 00:30:42,240 --> 00:30:43,160 Speaker 7: be charged with murder. 551 00:30:43,280 --> 00:30:46,800 Speaker 1: So let's be real. Anyways, I got in trouble, Oh 552 00:30:46,880 --> 00:30:51,000 Speaker 1: you did. Somebody pulled over and little assholes. It was 553 00:30:51,040 --> 00:30:53,440 Speaker 1: like wheeling West Virginia. It wasn't like a big pound 554 00:30:53,560 --> 00:30:57,040 Speaker 1: so I probably like flipped off my three neighbors. Yeah, yeah, yeah, 555 00:30:57,200 --> 00:31:02,040 Speaker 1: and they're like, this is O'Brien, your son is out 556 00:31:02,120 --> 00:31:06,280 Speaker 1: back giving everybody the full body a little burst your asshole. 557 00:31:10,760 --> 00:31:12,560 Speaker 5: You're young enough you could just say, I, you know, 558 00:31:12,680 --> 00:31:15,320 Speaker 5: you could the plausible deniability of I don't know what 559 00:31:15,440 --> 00:31:15,840 Speaker 5: it means. 560 00:31:16,440 --> 00:31:18,680 Speaker 1: I think that's what I went with, even though like 561 00:31:18,880 --> 00:31:21,320 Speaker 1: the whole point was that I had just learned what 562 00:31:21,400 --> 00:31:24,200 Speaker 1: it meant. I don't think my mom meant believed me. 563 00:31:24,840 --> 00:31:27,720 Speaker 1: I still remember lies I told at this period of 564 00:31:28,080 --> 00:31:30,400 Speaker 1: my life, and damn, well, don't put it on wax 565 00:31:30,880 --> 00:31:33,040 Speaker 1: is gonna come back to haunt you. Your mom's I 566 00:31:33,120 --> 00:31:36,360 Speaker 1: knew it. I fucking knew it. You're it. Yeah, Jack 567 00:31:36,440 --> 00:31:40,680 Speaker 1: knew the whole time. Honey, get in here. You don't 568 00:31:40,680 --> 00:31:44,240 Speaker 1: believe I just heard on his podcast one guy on 569 00:31:44,320 --> 00:31:48,160 Speaker 1: Facebook is claiming that his roofing business lost seventy grand 570 00:31:48,320 --> 00:31:52,200 Speaker 1: in business that purely because of his cyber truck. Yeah 571 00:31:52,280 --> 00:31:55,440 Speaker 1: because well, I mean I guess he like incorporates cyber 572 00:31:55,520 --> 00:31:58,720 Speaker 1: trucks into his business. Oh you know those are the 573 00:31:58,840 --> 00:32:04,000 Speaker 1: trucks that they use on business. And somebody was like, yeah, 574 00:32:04,040 --> 00:32:06,240 Speaker 1: I was gonna give them our work, and then we 575 00:32:06,560 --> 00:32:09,880 Speaker 1: canceled the contract because this guy, Yeah, they. 576 00:32:09,800 --> 00:32:12,880 Speaker 5: Don't want their property with cyber trucks all over them. Promise, 577 00:32:13,000 --> 00:32:14,960 Speaker 5: not a good look. So this guy just invested in 578 00:32:15,040 --> 00:32:16,120 Speaker 5: the wrong course. 579 00:32:16,680 --> 00:32:18,720 Speaker 1: Yeah, I went. I think in some yeah, some parts, 580 00:32:18,720 --> 00:32:21,080 Speaker 1: they're like they like Elon Musk because of the edge 581 00:32:21,120 --> 00:32:23,920 Speaker 1: words ship, and then they're shocked when people are associating 582 00:32:23,960 --> 00:32:26,760 Speaker 1: that with them because they bought the edge Lord car 583 00:32:26,960 --> 00:32:30,560 Speaker 1: and like they're they're like me in the backyard being 584 00:32:30,760 --> 00:32:33,280 Speaker 1: like doing the thing that's edge Lord and then being like, well, 585 00:32:33,320 --> 00:32:36,680 Speaker 1: I didn't know what it meant, right, They're just stuck. 586 00:32:37,040 --> 00:32:38,960 Speaker 1: They're just stuck into like here comes a car. 587 00:32:39,440 --> 00:32:39,640 Speaker 4: Yes. 588 00:32:40,400 --> 00:32:45,160 Speaker 3: And then when someone when someone goes, excuse me, I 589 00:32:45,240 --> 00:32:46,760 Speaker 3: think your kids like flicking people? 590 00:32:47,400 --> 00:32:48,080 Speaker 1: What the fuck? 591 00:32:48,280 --> 00:32:49,480 Speaker 4: What I thought it was? 592 00:32:49,600 --> 00:32:54,720 Speaker 1: How are you doing? I thought it meant GGI loser 593 00:32:54,960 --> 00:32:59,360 Speaker 1: shit loser shiit me and cyber truck owners that's what 594 00:32:59,480 --> 00:33:03,560 Speaker 1: we haven't Yeah, I'll find out. I did like this one. 595 00:33:03,600 --> 00:33:06,320 Speaker 1: Another cyber truck owner on the Facebook group pointed out 596 00:33:06,440 --> 00:33:09,560 Speaker 1: that actually all this hate is a good thing for 597 00:33:09,720 --> 00:33:13,280 Speaker 1: Tesla because Elon Musk is a genius and quote the 598 00:33:13,440 --> 00:33:18,280 Speaker 1: massive online negativity is actually fueling more curiosity and exposure. 599 00:33:18,600 --> 00:33:21,360 Speaker 3: Yes, yes, similar, like when you post crimes on the 600 00:33:21,440 --> 00:33:23,520 Speaker 3: internet and then there's a lot of uh, you know, 601 00:33:23,720 --> 00:33:28,280 Speaker 3: curiosity from the police investigating it. Yeah, it's like great, dude, 602 00:33:28,320 --> 00:33:32,000 Speaker 3: it's like so bad they write about us in. 603 00:33:32,040 --> 00:33:35,920 Speaker 1: A very mocking tone. Oh yeah, well look well we 604 00:33:36,000 --> 00:33:38,320 Speaker 1: all cope in our own ways, so sort of like the. 605 00:33:38,560 --> 00:33:41,640 Speaker 5: All publicity is good publicity. But right, I mean, the 606 00:33:41,720 --> 00:33:45,840 Speaker 5: real question I think is is are sales up? 607 00:33:46,680 --> 00:33:46,720 Speaker 7: No? 608 00:33:47,560 --> 00:33:51,880 Speaker 1: No hours ago? In the New York Times, Tesla sales 609 00:33:52,080 --> 00:33:57,600 Speaker 1: slump in Europe as anger toward Elon Musk grows performing 610 00:33:57,720 --> 00:34:02,160 Speaker 1: markets as global Slit sales plumb. It Yeah, so not 611 00:34:02,320 --> 00:34:05,920 Speaker 1: popular than you, I mean in Europe. In the US 612 00:34:06,320 --> 00:34:10,280 Speaker 1: might still be hanging on because of because they people 613 00:34:10,480 --> 00:34:13,200 Speaker 1: want to prove that they're not part of the wolkline virus. Yeah. 614 00:34:13,239 --> 00:34:15,839 Speaker 1: Here's I think this is a good sign. Tesla brings 615 00:34:15,920 --> 00:34:20,439 Speaker 1: back zero percent loans to boost am hand in the US. Wow, 616 00:34:20,840 --> 00:34:25,160 Speaker 1: zero percent loans. Damn bro, this fucking environment. I'm yeah, 617 00:34:25,640 --> 00:34:28,120 Speaker 1: that'll wow. I love a zero percent love. 618 00:34:28,040 --> 00:34:29,520 Speaker 4: But not for give it Tesla away. 619 00:34:30,239 --> 00:34:33,000 Speaker 1: You're gonna actually fucking need some good sales figures here, 620 00:34:33,120 --> 00:34:35,880 Speaker 1: Could we just give you these cars and like you 621 00:34:36,040 --> 00:34:39,080 Speaker 1: just pay us back whenever is good? They're like, yeah, 622 00:34:39,160 --> 00:34:44,120 Speaker 1: fucking taking the public library approached. You can just have 623 00:34:44,360 --> 00:34:48,439 Speaker 1: this like honestly, we yeah, no, it's yours, free and clear. 624 00:34:48,560 --> 00:34:50,480 Speaker 1: And then just like, do you think you could pay 625 00:34:50,560 --> 00:34:52,879 Speaker 1: us back at some point that would be cool? Yeah, 626 00:34:52,960 --> 00:34:55,279 Speaker 1: we don't want to bung you out. No worries if not, 627 00:34:56,120 --> 00:35:00,800 Speaker 1: no worries if not forgiveness. All right, we speaking of 628 00:35:00,920 --> 00:35:03,320 Speaker 1: from one billionaire to the next to this is our country. 629 00:35:03,880 --> 00:35:07,239 Speaker 1: We we've covered Jeff Bezos completely shipping all over the 630 00:35:07,360 --> 00:35:12,520 Speaker 1: Washington Post, But what about South African Los Angeles Times 631 00:35:12,960 --> 00:35:19,000 Speaker 1: billionaire owner Patrick Soon Shung? Yeah, who is doing something? 632 00:35:19,719 --> 00:35:24,600 Speaker 1: I mean, I don't know genius something this is. I 633 00:35:24,760 --> 00:35:27,640 Speaker 1: just want to give the backdrop because now, remember than 634 00:35:27,840 --> 00:35:30,640 Speaker 1: when the LA Times were like, we're not gonna endorse 635 00:35:30,719 --> 00:35:33,839 Speaker 1: Kamala and his daughter came out and said it had 636 00:35:33,880 --> 00:35:36,560 Speaker 1: to do with Gaza. Yeah yeah it was. Now I'm like, 637 00:35:36,960 --> 00:35:39,960 Speaker 1: he's actually too far left for you guys. He's the 638 00:35:40,120 --> 00:35:42,680 Speaker 1: most far left billionaire you've ever met. And now with 639 00:35:42,800 --> 00:35:47,120 Speaker 1: this is I'm like, far far left South African billionaire 640 00:35:47,719 --> 00:35:50,480 Speaker 1: out there, which means you're just you're not a Nazi, 641 00:35:50,760 --> 00:35:54,279 Speaker 1: You're more I guess a clan member. I guess it's 642 00:35:54,400 --> 00:35:56,560 Speaker 1: how that would work well, which makes sense because so 643 00:35:56,680 --> 00:36:00,600 Speaker 1: Patrick soon Shang is doing something even more howardly than 644 00:36:00,640 --> 00:36:03,640 Speaker 1: bezos to the op eds. He's touting a new AI 645 00:36:03,880 --> 00:36:07,120 Speaker 1: bot as a way to bring quote balance to opinion pieces. 646 00:36:07,200 --> 00:36:09,560 Speaker 1: So this is something he tweeted out with this new 647 00:36:09,680 --> 00:36:11,880 Speaker 1: feature that is going to go along with certain articles 648 00:36:11,960 --> 00:36:13,600 Speaker 1: to give people just a taste of like if there's 649 00:36:13,719 --> 00:36:15,640 Speaker 1: bias or just counterplat say quote. 650 00:36:15,920 --> 00:36:20,280 Speaker 3: Now the voice in perspective from all sides can be heard, seen, 651 00:36:20,440 --> 00:36:20,960 Speaker 3: and read. 652 00:36:21,560 --> 00:36:25,120 Speaker 1: No more echo chamber thanks to our talented content management 653 00:36:25,239 --> 00:36:29,160 Speaker 1: software team running this Graphene platform. So essentially, you read 654 00:36:29,200 --> 00:36:31,680 Speaker 1: an op ed, users can click to generate a summary 655 00:36:31,719 --> 00:36:34,200 Speaker 1: of the op ed, and then that AI summary can 656 00:36:34,239 --> 00:36:38,759 Speaker 1: provide fucking counterpoints to that to help someone understand that 657 00:36:39,640 --> 00:36:45,360 Speaker 1: the KKK was not bad. Well, that's what actually happened. 658 00:36:45,560 --> 00:36:49,440 Speaker 1: It was a cultural movement, miles. What else do you 659 00:36:49,560 --> 00:36:52,360 Speaker 1: need to know? Yes? What books are you scraping for 660 00:36:52,480 --> 00:36:53,360 Speaker 1: these answers? Ay? I? 661 00:36:53,760 --> 00:36:57,080 Speaker 3: So columnist Gustavo Ariano, he put a road a piece 662 00:36:57,360 --> 00:36:59,799 Speaker 3: in the La Times about the City of Anaheim's deep 663 00:37:00,040 --> 00:37:02,560 Speaker 3: eyes to the Ku Klux Klan and that the city 664 00:37:02,640 --> 00:37:06,160 Speaker 3: council missed an opportunity to grapple with that sordid past 665 00:37:06,440 --> 00:37:09,239 Speaker 3: when they didn't acknowledge the one hundred year anniversary of 666 00:37:09,480 --> 00:37:13,200 Speaker 3: said city council ousting clan members. They're like, nope, can't 667 00:37:13,239 --> 00:37:13,960 Speaker 3: be here anymore. 668 00:37:14,160 --> 00:37:16,800 Speaker 1: Sorry. But he's a pretty straightforward opinion piece. You know, 669 00:37:16,880 --> 00:37:20,200 Speaker 1: he's giving analysis on a historical fact and then adding 670 00:37:20,239 --> 00:37:23,160 Speaker 1: the pot we should maybe be proud of fighting against 671 00:37:23,280 --> 00:37:27,799 Speaker 1: like authoritarianism and institutional open racism at a time when 672 00:37:27,880 --> 00:37:31,840 Speaker 1: that is skyrocketing around the country, Like maybe maybe this 673 00:37:31,920 --> 00:37:34,520 Speaker 1: would have been a nice thing to remember that people 674 00:37:34,680 --> 00:37:37,279 Speaker 1: used to have courage and remember you can just do 675 00:37:37,600 --> 00:37:40,640 Speaker 1: this thing and just say, well, that's just like your opinion, man. 676 00:37:41,480 --> 00:37:43,720 Speaker 1: But is that what this is aid? No, the AI 677 00:37:44,120 --> 00:37:46,360 Speaker 1: added this tidbit that everyone's like, why is it caping 678 00:37:46,400 --> 00:37:49,840 Speaker 1: for the clan? Quote. Local historical accounts occasionally framed the 679 00:37:49,920 --> 00:37:52,920 Speaker 1: nineteen twenties Klan as a product of quote white Protestant 680 00:37:53,000 --> 00:37:57,160 Speaker 1: culture responding to societal changes, rather than an explicitly hate 681 00:37:57,280 --> 00:38:01,960 Speaker 1: driven movement, minimizing its ideological threat. So they were responding 682 00:38:02,040 --> 00:38:06,200 Speaker 1: to societal changes. Really, in many ways, they were following 683 00:38:06,320 --> 00:38:11,920 Speaker 1: the teachings of Jesus's that's what that was all about. 684 00:38:13,440 --> 00:38:17,160 Speaker 1: White product. First of all, a product of white Protestant 685 00:38:17,239 --> 00:38:22,320 Speaker 1: culture implies so much white supremacy that to suggests that 686 00:38:22,440 --> 00:38:27,560 Speaker 1: that's it's just this rewording of white supremacy. 687 00:38:27,920 --> 00:38:31,279 Speaker 3: Yeah, yeah, yeah, white responding to societal changes. So it's 688 00:38:31,320 --> 00:38:36,840 Speaker 3: a product of racists responding to demographic racial demographic shifts 689 00:38:36,880 --> 00:38:40,239 Speaker 3: around them and realizing that violence was the answer to 690 00:38:40,320 --> 00:38:42,520 Speaker 3: try and preserve their small worldview. 691 00:38:42,840 --> 00:38:45,880 Speaker 1: But yeah, minimizing its ideological threat. I do like that. 692 00:38:46,000 --> 00:38:49,920 Speaker 1: I mean they basically described so some people use this 693 00:38:50,120 --> 00:38:54,000 Speaker 1: wording to minimize how scary it seems, but it's still 694 00:38:54,000 --> 00:38:56,759 Speaker 1: white supremacy. They just don't say that part. Yeah yeah, 695 00:38:56,880 --> 00:38:59,960 Speaker 1: of course, of course that's so AI. This is good stuff. 696 00:39:00,960 --> 00:39:03,279 Speaker 3: Can I imagine someone just write an op ed about 697 00:39:03,280 --> 00:39:06,200 Speaker 3: this civil war, so this stupid fucking robot will be 698 00:39:06,320 --> 00:39:08,480 Speaker 3: like if this is a this is a disagreement about 699 00:39:08,560 --> 00:39:13,640 Speaker 3: economic priorities and nothing else to see. That's the whole thing. 700 00:39:13,920 --> 00:39:14,440 Speaker 1: We'll move on. 701 00:39:15,080 --> 00:39:18,280 Speaker 3: The feature, though, was taken down after I think someone 702 00:39:18,360 --> 00:39:20,279 Speaker 3: at the Times bothered to see what this fucking thing 703 00:39:20,360 --> 00:39:23,359 Speaker 3: was even saying to people, But many other journalists pointed 704 00:39:23,400 --> 00:39:25,320 Speaker 3: out very quickly, so they took it down and the 705 00:39:25,400 --> 00:39:28,239 Speaker 3: cool shit, but it's still up on other portions of 706 00:39:28,280 --> 00:39:31,000 Speaker 3: the La Times website. I think, you know, some people 707 00:39:31,040 --> 00:39:33,280 Speaker 3: are reporting it as like an l for the La Times. 708 00:39:33,320 --> 00:39:36,520 Speaker 3: But this is exactly what these billionaire pricks want. They 709 00:39:36,640 --> 00:39:40,239 Speaker 3: want to obscure facts. So as long as people come 710 00:39:40,320 --> 00:39:44,120 Speaker 3: away with a narrative that normalizes inequality, then we're good. 711 00:39:44,760 --> 00:39:47,399 Speaker 1: Then we're good. That's kind of even if it even 712 00:39:47,440 --> 00:39:50,319 Speaker 1: if it goes against maybe what I believe a certain point, 713 00:39:50,680 --> 00:39:53,200 Speaker 1: it's better to have people completely in disagreement over the 714 00:39:53,280 --> 00:39:55,839 Speaker 1: most basic things so they can't sort of coalesce around 715 00:39:55,880 --> 00:39:59,239 Speaker 1: the theme about maybe just wealth hoarding and who's to 716 00:39:59,280 --> 00:39:59,759 Speaker 1: blame for that. 717 00:40:00,239 --> 00:40:03,080 Speaker 5: There's an agenda here, it's I mean, we're being told that, oh, 718 00:40:03,160 --> 00:40:06,400 Speaker 5: it's to provide a balance perspective, but you know what, 719 00:40:06,560 --> 00:40:09,520 Speaker 5: some things do we really need a balanced perspective over, 720 00:40:09,840 --> 00:40:13,000 Speaker 5: like to where you know, do we need to warm 721 00:40:13,160 --> 00:40:14,320 Speaker 5: up towards the KKK? 722 00:40:14,640 --> 00:40:18,439 Speaker 4: Is that necessary? But what's scary is some people might. 723 00:40:18,400 --> 00:40:20,840 Speaker 3: Say yeah, yeah, no, of course and I think for 724 00:40:20,920 --> 00:40:23,400 Speaker 3: people to say, like for I'm sure one of the 725 00:40:23,440 --> 00:40:28,400 Speaker 3: biggest impediments for these like rabid white supremacists, like people 726 00:40:28,600 --> 00:40:31,080 Speaker 3: like still give a fuck about each other. That's the 727 00:40:31,120 --> 00:40:34,239 Speaker 3: biggest problem. Like we're not just willing to all the 728 00:40:34,360 --> 00:40:36,880 Speaker 3: time throw people on the wastepile. I mean, we very 729 00:40:36,960 --> 00:40:38,400 Speaker 3: much are in certain respects, but. 730 00:40:38,480 --> 00:40:42,160 Speaker 1: I think being able to give people the logic to 731 00:40:42,560 --> 00:40:45,719 Speaker 1: like sort of attach themselves to these really hateful ideologies 732 00:40:45,840 --> 00:40:48,239 Speaker 1: without it like sort of in its face being like 733 00:40:48,320 --> 00:40:51,160 Speaker 1: this is hateful ideology. It's like, no, I'm a Nazi 734 00:40:51,360 --> 00:40:56,399 Speaker 1: because of societal changes I'm responding to right, And that's 735 00:40:56,480 --> 00:40:59,200 Speaker 1: why Nazism, I think gets a bad rap is kind 736 00:40:59,200 --> 00:41:01,120 Speaker 1: of like this sort of the way they want to 737 00:41:01,120 --> 00:41:03,520 Speaker 1: sort of normalize this kind of thing, because that's one 738 00:41:03,520 --> 00:41:05,840 Speaker 1: of the biggest things. It's just funny that Nazi is 739 00:41:05,880 --> 00:41:08,920 Speaker 1: such a bad like loaded word in American culture that 740 00:41:09,040 --> 00:41:13,320 Speaker 1: even Republicans say it to attack Democrats, like so you 741 00:41:13,440 --> 00:41:15,879 Speaker 1: know it is bad, Like you only say that because 742 00:41:15,920 --> 00:41:19,320 Speaker 1: you know it is bad. But okay, go on, go on, 743 00:41:19,920 --> 00:41:22,520 Speaker 1: yes it's bad, but we're not allowed to wave like 744 00:41:22,680 --> 00:41:26,720 Speaker 1: they did. Come on, I mean, yeah, yes, free speech 745 00:41:27,120 --> 00:41:27,680 Speaker 1: pre speech. 746 00:41:28,000 --> 00:41:29,279 Speaker 4: We still got the thumbs down. 747 00:41:29,960 --> 00:41:32,520 Speaker 1: We have the thumbs down. They get to do nothing. 748 00:41:32,719 --> 00:41:35,080 Speaker 1: So if you're gonna give a thumbs down to me 749 00:41:35,280 --> 00:41:38,400 Speaker 1: and my sick car, I at least get to do 750 00:41:38,880 --> 00:41:41,200 Speaker 1: a Nazi salute, Okay, I would do if. 751 00:41:41,440 --> 00:41:43,640 Speaker 3: How horrifying that would be if like a like a 752 00:41:43,880 --> 00:41:46,359 Speaker 3: if people just walk around Wall Street just giving every 753 00:41:46,400 --> 00:41:48,840 Speaker 3: dude in a suit of thumbs down, like like they 754 00:41:49,000 --> 00:41:50,480 Speaker 3: just pull up like in their way. 755 00:41:50,480 --> 00:41:53,799 Speaker 1: Just go. I mean, we take them to their core. 756 00:41:54,120 --> 00:41:58,320 Speaker 1: We talked yesterday about how ineffectual and scattered the Democratic 757 00:41:58,400 --> 00:42:02,239 Speaker 1: Party's response to Trump's speech was. If they had all 758 00:42:02,440 --> 00:42:07,879 Speaker 1: just showed up fucking and just given the silent dead 759 00:42:08,440 --> 00:42:13,439 Speaker 1: thumbs down, yeah, yeah the whole time. Yeah, it would 760 00:42:13,480 --> 00:42:15,480 Speaker 1: have been so stupid, Like I kind of would have 761 00:42:15,560 --> 00:42:18,239 Speaker 1: liked it would have been more unified than whatever the 762 00:42:18,360 --> 00:42:23,319 Speaker 1: fuck that ship was on Tuesday. Yeah, the PLA so sad. 763 00:42:23,400 --> 00:42:26,000 Speaker 1: We're like, maybe they can fight the fascist off with 764 00:42:26,120 --> 00:42:29,800 Speaker 1: the thumbs down kind of, and that's an improvement on 765 00:42:29,920 --> 00:42:30,480 Speaker 1: what we saw. 766 00:42:31,160 --> 00:42:33,360 Speaker 4: Oh, we got some elbows. 767 00:42:34,480 --> 00:42:42,319 Speaker 1: The whole going down so hard. When I was doing 768 00:42:42,400 --> 00:42:43,879 Speaker 1: it as a five year old, I was like, fool 769 00:42:43,920 --> 00:42:49,600 Speaker 1: body ship was bruised and ship after Yeah, just dislocating 770 00:42:49,640 --> 00:42:52,520 Speaker 1: my shoulders. Given the frequency of you doing that, So 771 00:42:52,640 --> 00:42:55,120 Speaker 1: what did you give like one car like five? Yeah? 772 00:42:57,120 --> 00:43:04,680 Speaker 1: You gun fire semi automatic? U middle finger? What is 773 00:43:04,719 --> 00:43:06,719 Speaker 1: that gesture called? It's not the middle finger, it's the 774 00:43:06,840 --> 00:43:10,000 Speaker 1: up years, I guess would be what it's called up 775 00:43:10,120 --> 00:43:15,880 Speaker 1: yours with two thirds of my arms. I'm trying to see, like, 776 00:43:16,000 --> 00:43:18,560 Speaker 1: what is no? Seriously, let me put two thirds of 777 00:43:18,640 --> 00:43:19,640 Speaker 1: my arm up your ass. 778 00:43:20,040 --> 00:43:21,920 Speaker 4: I mean that's one way to say. 779 00:43:21,760 --> 00:43:24,920 Speaker 1: I love you, That's exactly, And that's what I tried 780 00:43:24,960 --> 00:43:28,879 Speaker 1: to explain to my mom and she's not having it. Mom, 781 00:43:29,040 --> 00:43:33,000 Speaker 1: What better way to express my love for our neighbors? 782 00:43:33,840 --> 00:43:36,239 Speaker 1: I suppose I spoke like a forty eight year old 783 00:43:36,280 --> 00:43:40,880 Speaker 1: guy from Brooklyn when I was five. Ma, come on, ma, 784 00:43:43,920 --> 00:43:48,719 Speaker 1: really all right, let's uh, let's take a quick break 785 00:43:49,120 --> 00:44:03,000 Speaker 1: and we'll be right back. And we're back. We're we're back. 786 00:44:04,840 --> 00:44:11,400 Speaker 1: Could see, Oh hey, what's going on up in Canada? Canada? Canada? 787 00:44:12,360 --> 00:44:18,400 Speaker 1: So just an unintended outcome of Donald Trump's five D 788 00:44:18,680 --> 00:44:22,120 Speaker 1: chess that is actually like half a dimension. 789 00:44:22,160 --> 00:44:25,120 Speaker 4: I feel like like one dimensions. 790 00:44:27,360 --> 00:44:31,040 Speaker 1: Yeah, but like five D chess implies he's playing chess 791 00:44:31,160 --> 00:44:35,560 Speaker 1: five moves in advance, and I think he is not 792 00:44:35,719 --> 00:44:38,600 Speaker 1: even thinking about the move he's making as he's making it. 793 00:44:38,800 --> 00:44:41,720 Speaker 1: I think it's less No, he's moving the chess pieces 794 00:44:41,760 --> 00:44:43,480 Speaker 1: on a board or they're like, bro, you can't do that. 795 00:44:44,800 --> 00:44:47,520 Speaker 1: Paun can't move like a queen. Bro, yeah, I can't watch. 796 00:44:47,600 --> 00:44:50,879 Speaker 1: It's like, bro, you you're gonna lose that, all right, final, 797 00:44:50,880 --> 00:44:53,000 Speaker 1: I'll do this. And he's like that's not a good movie. Oh, 798 00:44:53,239 --> 00:44:55,320 Speaker 1: we'll see, we'll see. And then he just puts a 799 00:44:55,400 --> 00:44:58,440 Speaker 1: handgun on the table and says, I can't. Oh yeah, 800 00:44:58,520 --> 00:45:01,160 Speaker 1: oh no, that's a toy. That's clearly a toy gun. 801 00:45:01,200 --> 00:45:05,360 Speaker 1: It's got the whole thing there, all right. So he 802 00:45:06,680 --> 00:45:09,800 Speaker 1: is basically and maybe there is an argument to be 803 00:45:09,880 --> 00:45:11,960 Speaker 1: made that this is a successful five D chest thing, 804 00:45:12,040 --> 00:45:14,279 Speaker 1: because the only thing that's going to keep fascism alive 805 00:45:14,400 --> 00:45:19,600 Speaker 1: is the continued survival of like neolib shit, you know, right, 806 00:45:19,760 --> 00:45:22,360 Speaker 1: So maybe maybe this is five I feel like this 807 00:45:22,440 --> 00:45:24,920 Speaker 1: is what he's just like knocking shit over and it 808 00:45:25,239 --> 00:45:28,960 Speaker 1: just keeps turning up like fucking aces for him. I'm 809 00:45:29,040 --> 00:45:32,279 Speaker 1: just mixing all my board all my table games here. Yeah, 810 00:45:32,360 --> 00:45:36,440 Speaker 1: but uh, so a few months ago, Trudeau announced he 811 00:45:36,600 --> 00:45:39,560 Speaker 1: was resigning. A new party leader would be chosen, with 812 00:45:39,640 --> 00:45:43,160 Speaker 1: an election happening at some point later this year. His 813 00:45:43,680 --> 00:45:47,239 Speaker 1: unpopularity was like unprecedented. People were just completely out on 814 00:45:47,320 --> 00:45:51,800 Speaker 1: his bullshit. Much very similar to Biden. It was just 815 00:45:52,280 --> 00:45:57,440 Speaker 1: he was incredibly unpopular. His policies like this sort of 816 00:45:58,480 --> 00:46:02,279 Speaker 1: neoliberal goal of being like, hey, we want to help you. 817 00:46:02,480 --> 00:46:04,400 Speaker 1: Here are some policies that help you, and then they 818 00:46:04,520 --> 00:46:09,399 Speaker 1: ultimately just are means for funneling wealth towards wealthy people 819 00:46:09,680 --> 00:46:15,680 Speaker 1: and corporations. People were like, fuck this, maybe we need 820 00:46:15,880 --> 00:46:19,760 Speaker 1: and so the stage was set for a massive liberal defeat, 821 00:46:20,040 --> 00:46:22,600 Speaker 1: much like we saw in the US. I know, the 822 00:46:23,440 --> 00:46:27,320 Speaker 1: margins weren't massive, but like when you take into account 823 00:46:27,480 --> 00:46:31,839 Speaker 1: like what should have happened given Trump what platform? Yeah, 824 00:46:33,200 --> 00:46:35,920 Speaker 1: it was really a massive defeat and complete fuck up 825 00:46:35,960 --> 00:46:40,080 Speaker 1: by the Democratic Party. So now though that Trump has 826 00:46:40,160 --> 00:46:45,239 Speaker 1: come into office and has threatened Canada with all in 827 00:46:45,400 --> 00:46:49,440 Speaker 1: every way basically I mean very implied implied military threats 828 00:46:49,520 --> 00:46:51,680 Speaker 1: of being like we're gonna you're gonna be our fifty 829 00:46:51,719 --> 00:46:55,840 Speaker 1: first state. But obviously the big one is the economic tariffs. 830 00:46:56,280 --> 00:46:59,800 Speaker 1: He has come back and been like that this guy's 831 00:46:59,800 --> 00:47:03,160 Speaker 1: inn asshole. You know. He like did a direct address 832 00:47:03,239 --> 00:47:07,240 Speaker 1: to Americans was like I'm sorry you're doing this to yourself, 833 00:47:07,800 --> 00:47:14,719 Speaker 1: and that has been incredibly popular in Canada. Everybody is like, uh, well, 834 00:47:15,000 --> 00:47:17,400 Speaker 1: I guess the election used to be about like domestic 835 00:47:17,560 --> 00:47:20,880 Speaker 1: Canadian policies, but now it's all about fending off threats 836 00:47:21,200 --> 00:47:24,840 Speaker 1: posed by the Trump administration. Their numbers has like shot. 837 00:47:24,680 --> 00:47:26,399 Speaker 4: Up nothing like a common enemy. 838 00:47:26,640 --> 00:47:28,640 Speaker 1: Ye yeah, exactly, totally to bring the. 839 00:47:28,640 --> 00:47:31,520 Speaker 5: People together, right yeah, I mean it's the best thing 840 00:47:31,560 --> 00:47:32,480 Speaker 5: that happened to Trudeau. 841 00:47:32,840 --> 00:47:34,839 Speaker 1: It is wild when like I just you know, as 842 00:47:34,880 --> 00:47:37,439 Speaker 1: our elections are happening all like Canadian Z that game, 843 00:47:37,480 --> 00:47:40,120 Speaker 1: we're like, we're right behind you, We're right behind you, 844 00:47:40,520 --> 00:47:42,600 Speaker 1: We're about to go We're about to flop to the 845 00:47:42,719 --> 00:47:45,400 Speaker 1: right also, and then it's just like it's just wild 846 00:47:46,040 --> 00:47:49,840 Speaker 1: how the emergence of this shithead Trump immediately like what 847 00:47:50,120 --> 00:47:53,160 Speaker 1: the fuck like and it just sort of immediately has 848 00:47:53,239 --> 00:47:56,239 Speaker 1: people been like, right, hold on a second, this guy 849 00:47:56,520 --> 00:48:00,000 Speaker 1: is a fucking loser and dangerous and all the people 850 00:48:00,200 --> 00:48:02,800 Speaker 1: that are parroting that shit like in our country like 851 00:48:02,920 --> 00:48:05,520 Speaker 1: this is it cannot lead down? Ever is going on? 852 00:48:05,600 --> 00:48:07,839 Speaker 1: So The person who was like favored to take over 853 00:48:07,960 --> 00:48:11,160 Speaker 1: for Trudeau was the head of the Conservative Party, Pierre 854 00:48:12,120 --> 00:48:18,759 Speaker 1: Pollievit Pollievvy, Polly every poll Evry, Pierre poly Evry. I 855 00:48:18,800 --> 00:48:23,440 Speaker 1: don't know why he's Italian Pierre. He was, you know, 856 00:48:23,600 --> 00:48:26,839 Speaker 1: poised to coast to victory and now has completely had 857 00:48:26,880 --> 00:48:31,360 Speaker 1: to revamp his strategy because his you know, in the 858 00:48:31,440 --> 00:48:34,200 Speaker 1: run up to our election, like the thing he was 859 00:48:34,640 --> 00:48:36,920 Speaker 1: that was giving him strength was that he was being 860 00:48:37,040 --> 00:48:41,120 Speaker 1: repeatedly referred to as Canada's Trump. Yeah, and now that's 861 00:48:41,280 --> 00:48:43,960 Speaker 1: not good for him now that Trump has had a 862 00:48:44,080 --> 00:48:47,279 Speaker 1: chance to be really bad at his job in the 863 00:48:47,360 --> 00:48:50,800 Speaker 1: eyes of everyone, except for like the thirty percent of 864 00:48:50,840 --> 00:48:53,560 Speaker 1: Americans who voted for him, you know, they're like, whoa, 865 00:48:53,680 --> 00:48:56,239 Speaker 1: that that might be a very bad thing. It's it 866 00:48:56,400 --> 00:48:57,200 Speaker 1: is interesting though, too. 867 00:48:57,239 --> 00:49:00,640 Speaker 3: Everything Trump does has this weird effect also doing the 868 00:49:00,680 --> 00:49:02,680 Speaker 3: opposite thing if he wants like where he's like, well, 869 00:49:02,680 --> 00:49:05,480 Speaker 3: I abandoned Ukraine and now Europe's like, bro, we need 870 00:49:05,560 --> 00:49:07,920 Speaker 3: to fucking we need to cut these Americans out of 871 00:49:07,960 --> 00:49:10,880 Speaker 3: the conversation because they're gonna fucking destroy everything and like 872 00:49:11,600 --> 00:49:14,160 Speaker 3: fuck fuck all this so and has like a shit, 873 00:49:14,719 --> 00:49:16,520 Speaker 3: they're all getting each other's backs. 874 00:49:16,560 --> 00:49:20,200 Speaker 1: Now this is different, and now with Canada, Trudeau merely 875 00:49:20,320 --> 00:49:23,759 Speaker 1: just being like, this is some bullshit, guys, and it 876 00:49:23,920 --> 00:49:28,080 Speaker 1: was like, yeah, we're back, We're back, and Mike, look, 877 00:49:28,200 --> 00:49:32,160 Speaker 1: a word of warning to the Canadians, man, do not 878 00:49:32,480 --> 00:49:36,560 Speaker 1: let the presence of an aspiring fascist turn into a 879 00:49:36,760 --> 00:49:40,960 Speaker 1: neoliberal honeymoon. Okay, the Democratic Party should have taken the 880 00:49:41,000 --> 00:49:44,880 Speaker 1: biggest like a bigger l over what happened in twenty sixteen, 881 00:49:45,200 --> 00:49:48,640 Speaker 1: But the presence of Trump made everyone nostalgic for the 882 00:49:48,719 --> 00:49:52,320 Speaker 1: before times. They completely lost sight of like what what 883 00:49:52,520 --> 00:49:55,440 Speaker 1: was ailing society and what actually needed to be addressed. 884 00:49:55,760 --> 00:49:58,800 Speaker 1: So take the opportunity if you can. Now, I don't know, 885 00:49:58,840 --> 00:50:03,239 Speaker 1: I'm not gonna be but theoretically you could drive a 886 00:50:03,360 --> 00:50:06,399 Speaker 1: stake into the heart of right wing extremism and meet 887 00:50:06,560 --> 00:50:09,640 Speaker 1: people's needs. Okay, because if. 888 00:50:09,520 --> 00:50:12,680 Speaker 3: You let the rot of inequality continue, the fungus that 889 00:50:12,840 --> 00:50:16,880 Speaker 3: is authoritarianism rule will have the perfect environment to replicate 890 00:50:16,960 --> 00:50:19,040 Speaker 3: and thrive in and you're just gonna end up being 891 00:50:19,080 --> 00:50:21,560 Speaker 3: the same place we are down the road. Like it's 892 00:50:21,920 --> 00:50:24,120 Speaker 3: not gonna be enough to be like, oh thank god 893 00:50:24,160 --> 00:50:26,399 Speaker 3: he's standing up to it. You now have to take 894 00:50:26,480 --> 00:50:29,839 Speaker 3: the opportunity to like just fucking learn from this. It's 895 00:50:29,920 --> 00:50:33,360 Speaker 3: because the Democrats did fuck all to address the needs 896 00:50:33,480 --> 00:50:36,440 Speaker 3: of the people at the expense of the donor class 897 00:50:36,800 --> 00:50:38,680 Speaker 3: that we're in this mess that we're in right now. 898 00:50:38,719 --> 00:50:41,319 Speaker 3: And also just ideologically, it's impossible for them to bite 899 00:50:41,360 --> 00:50:43,120 Speaker 3: the hand that feed, So we were fucked either way. 900 00:50:43,400 --> 00:50:46,600 Speaker 3: But Canada, you already got a leg up on America 901 00:50:46,680 --> 00:50:48,480 Speaker 3: in a few ways in terms of how you're treating 902 00:50:48,520 --> 00:50:48,920 Speaker 3: your people. 903 00:50:49,239 --> 00:50:55,680 Speaker 1: So just I'm just it'll come back, though, if you know, 904 00:50:55,760 --> 00:50:57,359 Speaker 1: if not cares, shit will come right back. 905 00:50:57,400 --> 00:51:00,480 Speaker 3: They are waiting for material conditions to be enough for 906 00:51:00,520 --> 00:51:03,120 Speaker 3: people to be like, yeah, fucking destroy everything that. 907 00:51:03,600 --> 00:51:05,160 Speaker 1: I wonder if we're gonna be able to if the 908 00:51:05,320 --> 00:51:06,680 Speaker 1: US is going to be able to get out of that, 909 00:51:06,840 --> 00:51:10,040 Speaker 1: because it is it does feel like the only thing 910 00:51:10,280 --> 00:51:14,880 Speaker 1: that can make the idea of sort of that corporatocracy. 911 00:51:15,160 --> 00:51:19,520 Speaker 1: But democrat look good is what Trump is doing, you know, 912 00:51:19,920 --> 00:51:23,320 Speaker 1: like he's doing the exact thing to make people be like, 913 00:51:24,000 --> 00:51:26,080 Speaker 1: I mean, I guess back to the other thing, and 914 00:51:26,280 --> 00:51:30,000 Speaker 1: Biden was fine, like yeah, I guess, No, it wasn't 915 00:51:30,080 --> 00:51:32,920 Speaker 1: and it's not now, And I think that's you know 916 00:51:33,120 --> 00:51:35,279 Speaker 1: if I like you think like the most cynical of 917 00:51:35,360 --> 00:51:38,560 Speaker 1: democratic strategies would be going to these billionaires be like, look, dude, 918 00:51:38,960 --> 00:51:42,680 Speaker 1: we need all y'all to like do token donations to 919 00:51:43,600 --> 00:51:46,680 Speaker 1: bring your cred back up and and make people feel 920 00:51:46,719 --> 00:51:49,960 Speaker 1: like you contribute to society. Just fucking just do these 921 00:51:50,040 --> 00:51:52,960 Speaker 1: token offerings to just fucking bring the temperature down a 922 00:51:53,000 --> 00:51:55,560 Speaker 1: little bit and say you're okay with that, and then 923 00:51:55,600 --> 00:51:57,680 Speaker 1: we can if you're okay with just a little bit 924 00:51:57,760 --> 00:52:00,640 Speaker 1: more taxes, we can just do some stuff that'll keep 925 00:52:00,680 --> 00:52:03,680 Speaker 1: them at bay before they all fucking turn off us. 926 00:52:04,320 --> 00:52:06,520 Speaker 1: That's but they can't even do that. They're just like, 927 00:52:07,280 --> 00:52:11,560 Speaker 1: but Trump's bad. So you're like, well that, okay. There 928 00:52:11,640 --> 00:52:14,520 Speaker 1: goes any opportunity to do anything, even the most cynical sense, 929 00:52:14,600 --> 00:52:18,120 Speaker 1: to try and keep the fucking powers that be in power, 930 00:52:18,400 --> 00:52:21,480 Speaker 1: because I mean, the road inevitably just ends this way, right, 931 00:52:21,680 --> 00:52:27,640 Speaker 1: So yeah, all these countries have the entire economically populist 932 00:52:27,880 --> 00:52:33,480 Speaker 1: lane to go down where you can create policies that 933 00:52:34,239 --> 00:52:37,719 Speaker 1: actually benefit people instead of corporations. And by the way, 934 00:52:37,760 --> 00:52:39,880 Speaker 1: corporations are people too, So Miles, when you said Joe 935 00:52:39,920 --> 00:52:42,200 Speaker 1: Biden didn't do things for people, you were meeting out 936 00:52:42,239 --> 00:52:47,200 Speaker 1: a big chunk of the population. Thank you. I will 937 00:52:47,320 --> 00:52:50,439 Speaker 1: refer to you your honor, no further answers, your honor. 938 00:52:50,800 --> 00:52:54,920 Speaker 1: But it's just so wild that like they are leaving 939 00:52:55,200 --> 00:52:59,120 Speaker 1: this huge lane that has like proven to be popular 940 00:52:59,400 --> 00:53:02,800 Speaker 1: in the past, with the Sanders campaign coming out of 941 00:53:02,880 --> 00:53:06,560 Speaker 1: nowhere in twenty sixteen, doing remarkably well in twenty eighteen. 942 00:53:06,640 --> 00:53:08,880 Speaker 1: But again, like to your point, I think people just 943 00:53:09,000 --> 00:53:11,640 Speaker 1: lost their nerve because they were like, well, we got 944 00:53:11,719 --> 00:53:14,320 Speaker 1: to beat him, and Sanders isn't gonna win, Like this 945 00:53:14,400 --> 00:53:16,600 Speaker 1: is not a time to be taking chances. This Trump 946 00:53:16,680 --> 00:53:19,960 Speaker 1: guy's pulling indicates that he could. Yeah, yeah, exactly, like 947 00:53:20,040 --> 00:53:21,680 Speaker 1: everybody's playing game. 948 00:53:22,560 --> 00:53:25,919 Speaker 5: I mean, do you think that they, the Democrats, those 949 00:53:26,000 --> 00:53:27,480 Speaker 5: in power, he didn't want to bite the hand that 950 00:53:28,239 --> 00:53:31,280 Speaker 5: feeds them, actually would rather have Trump than Bernie. 951 00:53:32,160 --> 00:53:35,319 Speaker 1: That's a great question. I mean probably, yeah, I think 952 00:53:35,360 --> 00:53:40,600 Speaker 1: they probably know that Trump is better for there. They 953 00:53:40,640 --> 00:53:45,720 Speaker 1: are so distinct from what, you know, what Bernie Sanders 954 00:53:46,040 --> 00:53:49,080 Speaker 1: and like, you know, the the idea of a progressive 955 00:53:49,120 --> 00:53:53,719 Speaker 1: politics that actually like is focused on helping people. That yeah, 956 00:53:53,760 --> 00:53:58,200 Speaker 1: I don't I don't think there's anything about Bernie Sanders 957 00:53:58,360 --> 00:54:02,160 Speaker 1: that appeals to me in stream Democrats, whereas with Trump 958 00:54:02,640 --> 00:54:07,040 Speaker 1: it gives them something to in theory, you know, fundrate. 959 00:54:07,320 --> 00:54:09,960 Speaker 1: I was gonna say, like, in theory, run against but 960 00:54:10,080 --> 00:54:13,239 Speaker 1: it's not even really running, it's just fundraising. 961 00:54:13,480 --> 00:54:13,680 Speaker 4: Do you know? 962 00:54:13,960 --> 00:54:17,840 Speaker 1: I got so many fucking texts during that address, begging 963 00:54:18,000 --> 00:54:20,759 Speaker 1: texts from the Democrats, you know what I mean, Like 964 00:54:21,280 --> 00:54:23,799 Speaker 1: they're still they're so caught in their ways. They're like, yeah, fine, man, 965 00:54:23,840 --> 00:54:25,759 Speaker 1: we'll just like people be freaked out again and maybe 966 00:54:25,760 --> 00:54:27,560 Speaker 1: we can get more money. Although now I think they're 967 00:54:27,640 --> 00:54:32,000 Speaker 1: realizing people are so fucking disheartened by everything. Yeah, there's 968 00:54:32,239 --> 00:54:34,279 Speaker 1: the money ain't flown in like it used to. They're 969 00:54:34,280 --> 00:54:37,839 Speaker 1: willing to try anything except the uh Bernie Sanders thing 970 00:54:38,200 --> 00:54:42,480 Speaker 1: that would actually work, because that is Yeah. I mean, 971 00:54:42,520 --> 00:54:45,560 Speaker 1: it's just it's the thing that we saw with Biden 972 00:54:45,719 --> 00:54:48,400 Speaker 1: coming up against certain things and being like a what 973 00:54:48,560 --> 00:54:48,920 Speaker 1: can I do? 974 00:54:49,120 --> 00:54:49,279 Speaker 7: Man? 975 00:54:49,600 --> 00:54:52,960 Speaker 1: I'm trying over here, and it's like, what's the unspoken thing? 976 00:54:53,120 --> 00:54:54,920 Speaker 1: You're not saying what what are you trying? And not 977 00:54:55,160 --> 00:54:58,160 Speaker 1: able to like, yes, there's Republicans in Congress, but it's 978 00:54:58,200 --> 00:54:59,799 Speaker 1: also what do you want me to do? Up end 979 00:54:59,800 --> 00:55:03,480 Speaker 1: this status quo? Yeah, exactly, Yeah, And I think that's 980 00:55:03,680 --> 00:55:04,560 Speaker 1: it's the basic thing. 981 00:55:04,640 --> 00:55:07,560 Speaker 3: I mean, like, going forward, the only people who will 982 00:55:07,600 --> 00:55:11,080 Speaker 3: be worth listening to or voting for are people who 983 00:55:11,160 --> 00:55:14,440 Speaker 3: can just very simple premise. The status quo is violent, 984 00:55:14,560 --> 00:55:17,720 Speaker 3: and it's killing people, and it's every it's making everyone unhappy, 985 00:55:17,800 --> 00:55:20,239 Speaker 3: their meet their needs aren't being met, and we're so 986 00:55:20,520 --> 00:55:23,800 Speaker 3: far removed from like the even what people call like 987 00:55:23,920 --> 00:55:26,560 Speaker 3: the good old days when people could have like even 988 00:55:27,440 --> 00:55:32,080 Speaker 3: like my grandmother like was a fucking switchboard operator and shit, 989 00:55:32,160 --> 00:55:34,960 Speaker 3: and my grandfather drove a bus. Like they were able 990 00:55:35,040 --> 00:55:37,760 Speaker 3: to do shit and have a house even being black 991 00:55:38,040 --> 00:55:40,719 Speaker 3: like that, shit was kind of possible even then. We're 992 00:55:40,800 --> 00:55:43,320 Speaker 3: so far from that in the progressive tax policy that 993 00:55:43,400 --> 00:55:45,839 Speaker 3: we had then, we're just so if you're not if 994 00:55:45,840 --> 00:55:47,600 Speaker 3: you're not willing to come to the table and be like, 995 00:55:47,920 --> 00:55:51,400 Speaker 3: hey guys, everything that's been happening for the last few decades, we. 996 00:55:51,560 --> 00:55:54,040 Speaker 1: Have to reverse course on all of this. But that 997 00:55:54,239 --> 00:55:57,279 Speaker 1: is just far too extreme a mess, like perceived as 998 00:55:57,320 --> 00:56:01,880 Speaker 1: far to extreme a message from again the stakeholders of 999 00:56:01,960 --> 00:56:03,960 Speaker 1: our media and things like that, that it's just it's 1000 00:56:05,160 --> 00:56:07,200 Speaker 1: but that's really what it is. Someone who's like we 1001 00:56:07,320 --> 00:56:09,319 Speaker 1: just need to change a couple of things. No, we don't. 1002 00:56:09,360 --> 00:56:11,400 Speaker 1: We need to change fucking so many things. And if 1003 00:56:11,400 --> 00:56:13,919 Speaker 1: you're not really saying that with your whole chest, don't 1004 00:56:13,960 --> 00:56:17,600 Speaker 1: waste people's time. Tweak the messaging. Tweak the messaging. Yeah, 1005 00:56:17,840 --> 00:56:20,000 Speaker 1: but thank you at that kind of stuff, right yeah, 1006 00:56:20,160 --> 00:56:23,080 Speaker 1: all right, Uh fizz A, what a pleasure having you 1007 00:56:23,160 --> 00:56:25,160 Speaker 1: back on the show. Thank you so much for joining. 1008 00:56:25,200 --> 00:56:28,200 Speaker 1: Where can people find you? Follow you all that good stuff? 1009 00:56:28,560 --> 00:56:30,760 Speaker 5: Thank you so much for having me. It's always a pleasure. 1010 00:56:31,120 --> 00:56:34,240 Speaker 5: I can be found on the internet along with most people, 1011 00:56:34,520 --> 00:56:47,200 Speaker 5: uh say, at physitals, on Instagram, TikTok, uh, threads, x face, Twitter, 1012 00:56:48,040 --> 00:56:49,840 Speaker 5: We don't say we say Twitter. 1013 00:56:49,760 --> 00:56:52,000 Speaker 1: We say Twitter, and we say Twitter. 1014 00:56:52,120 --> 00:56:55,960 Speaker 4: Yeah yeah, physic dot com. And then also check out 1015 00:56:56,040 --> 00:56:57,320 Speaker 4: Facial Recognition Comedy. 1016 00:56:57,360 --> 00:57:00,520 Speaker 5: It's a show that I host monthly that I run 1017 00:57:00,640 --> 00:57:03,320 Speaker 5: with Paul Viganalan who's also been on this show, and 1018 00:57:03,400 --> 00:57:06,920 Speaker 5: Tzar Ali. Our next show is March twenty first. It's 1019 00:57:07,000 --> 00:57:09,200 Speaker 5: usually a third Friday of the month at the comedy Store, 1020 00:57:09,320 --> 00:57:12,279 Speaker 5: So check it out. And uh yeah, it features a 1021 00:57:12,320 --> 00:57:14,520 Speaker 5: bunch of comics were not the same person? 1022 00:57:15,480 --> 00:57:15,959 Speaker 1: Oh wow? 1023 00:57:16,400 --> 00:57:19,960 Speaker 4: Yeah, okay, drownd comics that we all get mistaken for 1024 00:57:20,080 --> 00:57:22,920 Speaker 4: each other. Guys, girls, you know it doesn't matter. 1025 00:57:23,920 --> 00:57:27,400 Speaker 1: I like, no, that's okay, never mind. 1026 00:57:27,680 --> 00:57:28,320 Speaker 4: It's funny though. 1027 00:57:28,360 --> 00:57:31,240 Speaker 5: It's a funny show and we have different comics every 1028 00:57:31,320 --> 00:57:35,400 Speaker 5: month and it's I mean, it's it's nuts nice. 1029 00:57:36,000 --> 00:57:37,800 Speaker 1: Is there a work a media you've been enjoying? 1030 00:57:39,040 --> 00:57:41,400 Speaker 4: There are Oh yeah, yeah, I got this. I saw 1031 00:57:41,480 --> 00:57:44,080 Speaker 4: this tweet that just took me back. 1032 00:57:44,240 --> 00:57:45,520 Speaker 1: Let me fine? 1033 00:57:45,560 --> 00:57:46,120 Speaker 4: Oh yeah yeah. 1034 00:57:46,560 --> 00:57:51,080 Speaker 5: So on Twitter, Trash Jones aka at jay z u 1035 00:57:51,640 --> 00:57:55,280 Speaker 5: X said about three days ago, by age thirty, you 1036 00:57:55,320 --> 00:57:58,400 Speaker 5: should have one harrowing friendship breakup that you talk about 1037 00:57:58,440 --> 00:58:03,560 Speaker 5: with the fragile stoicism of the Vietnam veteran, And that 1038 00:58:03,760 --> 00:58:04,160 Speaker 5: just hit me. 1039 00:58:05,200 --> 00:58:08,240 Speaker 1: Yeah, yeah, I got one. I could think of, Yeah, 1040 00:58:08,400 --> 00:58:11,600 Speaker 1: you don't got one. You're not living with enough and 1041 00:58:11,720 --> 00:58:14,000 Speaker 1: I don't have one. So I'm not living and I 1042 00:58:14,040 --> 00:58:16,680 Speaker 1: don't have it because I don't set healthy boundaries. I don't. 1043 00:58:18,040 --> 00:58:21,120 Speaker 1: I'm saying mind came as a result of like a therapist, 1044 00:58:21,160 --> 00:58:23,800 Speaker 1: You're like, you shouldn't actually set boundaries with people. I'm like, 1045 00:58:23,880 --> 00:58:32,160 Speaker 1: what cut to I hear the choppers flying overhead, amazing miles. 1046 00:58:32,160 --> 00:58:34,320 Speaker 1: Where can people find you as their working media, you've 1047 00:58:34,400 --> 00:58:36,960 Speaker 1: been enjoying, Ye find me everywhere. They got as symbols 1048 00:58:37,000 --> 00:58:39,200 Speaker 1: at miles of gray g r a y not g 1049 00:58:39,400 --> 00:58:42,200 Speaker 1: r e y. I know we habitually spell gray like 1050 00:58:42,360 --> 00:58:44,440 Speaker 1: g r e y, but it's g r a y, 1051 00:58:45,080 --> 00:58:48,680 Speaker 1: and I love when people spell like this always happens. 1052 00:58:49,040 --> 00:58:52,320 Speaker 3: You got the handle right to talk to me, but 1053 00:58:52,440 --> 00:58:54,800 Speaker 3: then you spell my full name g r e y. 1054 00:58:54,960 --> 00:59:00,560 Speaker 3: I'm like, I get it at auto fills, but anyway. 1055 00:59:00,560 --> 00:59:02,760 Speaker 3: You also find Jacket on the Basketball podcasts and Jack 1056 00:59:02,800 --> 00:59:05,640 Speaker 3: on mat Boot's Talking ninety Dance on four to twenty 1057 00:59:05,760 --> 00:59:08,760 Speaker 3: Day fiance Sophia Alexandra a tweet I like it is 1058 00:59:08,800 --> 00:59:11,720 Speaker 3: from at Len zero Killer. It looks like Lendo killer 1059 00:59:11,960 --> 00:59:15,120 Speaker 3: and it said we found bruv in a blokeless place. 1060 00:59:15,960 --> 00:59:23,000 Speaker 1: We found bruv in a blokeless place. Awesome, snoop. You 1061 00:59:23,080 --> 00:59:28,040 Speaker 1: can find me on Twitter at jack hunderscore Olbrian and 1062 00:59:28,240 --> 00:59:32,360 Speaker 1: on Blue Sky at jack Obi. The number one tweet 1063 00:59:32,360 --> 00:59:35,600 Speaker 1: I've been enjoying from brooks otter Lake, I underscores ezz 1064 00:59:35,600 --> 00:59:40,439 Speaker 1: eas Easy's easy, tweeted Honora don't shaking TV. You don't 1065 00:59:40,480 --> 00:59:49,280 Speaker 1: need to do that stuff. Anora. You can find us 1066 00:59:49,920 --> 00:59:54,800 Speaker 1: on Twitter at daily Zeikeeist. We're also on blue Sky 1067 00:59:55,440 --> 00:59:58,800 Speaker 1: at daily Zeikekeist. You can find us on Instagram at 1068 00:59:58,880 --> 01:00:01,640 Speaker 1: the daily Zeikeist. We have a Facebook fan page and 1069 01:00:01,760 --> 01:00:05,360 Speaker 1: a website, daily zeitgeist dot com. You can go to 1070 01:00:05,440 --> 01:00:08,680 Speaker 1: this episode wherever you're listening to it doesn't matter. Check 1071 01:00:08,720 --> 01:00:11,400 Speaker 1: out the description of the episode, and there you will 1072 01:00:11,480 --> 01:00:14,960 Speaker 1: find the footnotes, which is where we link off to 1073 01:00:15,040 --> 01:00:17,800 Speaker 1: the information and articles that we talked about used for 1074 01:00:17,920 --> 01:00:21,560 Speaker 1: research in today's episode. We also like to link off 1075 01:00:21,600 --> 01:00:24,880 Speaker 1: to a song that we think you might enjoy. Miles, 1076 01:00:25,400 --> 01:00:28,000 Speaker 1: is there a song that you think people might enjoy? 1077 01:00:28,280 --> 01:00:31,080 Speaker 1: I think there's a song that people might enjoy. So 1078 01:00:31,360 --> 01:00:33,800 Speaker 1: there is a band I really like call men I Trust. 1079 01:00:34,920 --> 01:00:37,280 Speaker 1: We've gone out on this track before called Billy Toppy, 1080 01:00:37,400 --> 01:00:39,320 Speaker 1: but the men I Trust just put out like a 1081 01:00:39,440 --> 01:00:42,720 Speaker 1: live sessions album, and the live version is also really good. 1082 01:00:43,480 --> 01:00:44,440 Speaker 1: It's like one of those. 1083 01:00:44,360 --> 01:00:47,360 Speaker 3: Kind of driving, kind of like rock tracks. I really 1084 01:00:47,480 --> 01:00:52,040 Speaker 3: like the just picked driving, humming bass on this one. 1085 01:00:52,800 --> 01:00:54,800 Speaker 3: But yeah, it's also a super good live track. So 1086 01:00:54,920 --> 01:00:58,160 Speaker 3: this is men I Trust Billy Toppy the live version. 1087 01:00:58,880 --> 01:01:01,080 Speaker 1: All right, we will link off to that in the 1088 01:01:01,120 --> 01:01:05,200 Speaker 1: footnotes today, said production of iHeartRadio. For more podcasts from iHeartRadio, 1089 01:01:05,320 --> 01:01:08,480 Speaker 1: visit the iHeartRadio app, Apple podcast, or wherever you listen 1090 01:01:08,480 --> 01:01:10,680 Speaker 1: to your favorite shows. That is going to do it 1091 01:01:10,760 --> 01:01:13,160 Speaker 1: for us this morning, back this afternoon to tell you 1092 01:01:13,240 --> 01:01:15,680 Speaker 1: what is trending, and hey, we'll talk to you all then. 1093 01:01:15,760 --> 01:01:16,439 Speaker 1: Bye bye,