1 00:00:00,200 --> 00:00:03,440 Speaker 1: Hello the Internet, and welcome to season sixty nine episode 2 00:00:03,440 --> 00:00:06,680 Speaker 1: for us there Daily Night Case. Yeah, the podcast where 3 00:00:06,680 --> 00:00:08,920 Speaker 1: we take a deep dine them to share consciousness is 4 00:00:09,160 --> 00:00:14,440 Speaker 1: Thursday February fourteens. Happy Valentine's Day. It's two thousand nineteen. 5 00:00:14,440 --> 00:00:17,120 Speaker 1: My name is Jack O'Brian aka Ready or Not Daily 6 00:00:17,239 --> 00:00:21,439 Speaker 1: Sight taking over the Buffalo Podsters, Low cut Clownsters. I 7 00:00:21,720 --> 00:00:25,319 Speaker 1: Jack O'Brien, Man's Miles Gray cut your pots short like 8 00:00:25,440 --> 00:00:30,200 Speaker 1: Anna hose Nie uh courtesy of Infinite Content on Twitter 9 00:00:30,240 --> 00:00:32,400 Speaker 1: and on Thrilled to be joined as always by my 10 00:00:32,520 --> 00:00:36,440 Speaker 1: co host, Mr Miles Gray. I'll it O'Brien and he 11 00:00:36,520 --> 00:00:38,960 Speaker 1: hit me to the Zight Gang to simulate the activate 12 00:00:39,000 --> 00:00:41,360 Speaker 1: the leaving right brain. Say, baby boy, you only Buggy 13 00:00:41,440 --> 00:00:43,479 Speaker 1: has your last cut. You focus on the past, your 14 00:00:43,479 --> 00:00:45,600 Speaker 1: as via has what that's when to live by or 15 00:00:45,640 --> 00:00:47,120 Speaker 1: either that one to die do? I just tried to 16 00:00:47,159 --> 00:00:52,000 Speaker 1: throw it to you determine your adventure Miles Gray. Okay, Wow, 17 00:00:53,200 --> 00:00:55,120 Speaker 1: who had to sweat through that one because it's been 18 00:00:55,120 --> 00:00:56,440 Speaker 1: a while since they saying that one. But thank you 19 00:00:56,480 --> 00:01:00,800 Speaker 1: to Matthew come Ins for that. Rosa Parks. Because Black 20 00:01:00,840 --> 00:01:04,640 Speaker 1: History one outcast is by day gay we'll not because 21 00:01:05,760 --> 00:01:08,240 Speaker 1: it just happens to be black history. That was good. 22 00:01:08,400 --> 00:01:09,880 Speaker 1: Thank you so much, thank you so much, thank you, 23 00:01:09,880 --> 00:01:13,360 Speaker 1: thank you, thank you, thank you to Matthew bad news 24 00:01:13,440 --> 00:01:16,960 Speaker 1: for my wife. When I read that it was Valentine's Day. 25 00:01:17,000 --> 00:01:18,320 Speaker 1: That was the first time that I thought that it 26 00:01:18,440 --> 00:01:21,080 Speaker 1: thought about the fact that it was Valentine's Day since 27 00:01:21,120 --> 00:01:24,080 Speaker 1: we did that story yesterday. You were out in the 28 00:01:24,160 --> 00:01:30,479 Speaker 1: field yesterday in the yeah, fighting for your meal. All right, well, 29 00:01:31,080 --> 00:01:38,640 Speaker 1: we're thrilled to join hilarious comedian and performer Blair's Saki Hi, Hi, Hello, 30 00:01:38,720 --> 00:01:41,840 Speaker 1: how are you? I am really well, thank you. Those 31 00:01:41,920 --> 00:01:44,880 Speaker 1: routes are so cool. I'm so impressed. Frank One, it 32 00:01:45,000 --> 00:01:49,360 Speaker 1: was better yours was obviously. Don't poison the well, Jack, 33 00:01:49,760 --> 00:01:52,040 Speaker 1: that's a really cut throat thing. I'm not trying to 34 00:01:52,320 --> 00:01:56,320 Speaker 1: k anyone right now. I'm thinking about Valentine's Day. Yeah, 35 00:01:56,560 --> 00:02:00,400 Speaker 1: what are you going? Valentine's Day? Not to your minds, 36 00:02:03,000 --> 00:02:07,240 Speaker 1: but I have a show, so yeah. But I also 37 00:02:07,360 --> 00:02:10,680 Speaker 1: love Valentine'sday. It's my favorite holiday. It is really yeah, 38 00:02:11,080 --> 00:02:15,960 Speaker 1: you strike me, of course, Valentine's really someone who would 39 00:02:15,960 --> 00:02:18,799 Speaker 1: be like Valentine's Day, But you really, well, I see 40 00:02:18,800 --> 00:02:21,880 Speaker 1: your your manicure is in the spirit of the season. 41 00:02:22,000 --> 00:02:24,519 Speaker 1: Oh yeah, No, I love Valentine's Day. I love love 42 00:02:24,880 --> 00:02:28,639 Speaker 1: like big fan of it. Yeah that's a controversial take. 43 00:02:29,560 --> 00:02:32,480 Speaker 1: Thank you. What do you like about love? Um? I 44 00:02:32,520 --> 00:02:34,960 Speaker 1: think it's just the reason that we're put on earth 45 00:02:35,040 --> 00:02:37,600 Speaker 1: and it makes you feel good, it's fun. I think 46 00:02:37,600 --> 00:02:41,240 Speaker 1: it makes sex better. Um, you got to do on 47 00:02:41,520 --> 00:02:50,880 Speaker 1: Valentine's Day? Have you ever had sex? Yeah? Yeah. What's 48 00:02:50,880 --> 00:02:53,040 Speaker 1: the thing about Valentine's Day that you're like, Oh, I 49 00:02:53,080 --> 00:02:58,079 Speaker 1: finally because it's Valentine's Valentine's in sixth grade, valens Time's Day? 50 00:02:58,720 --> 00:03:01,160 Speaker 1: That what's like you do you know what I mean? 51 00:03:01,200 --> 00:03:03,160 Speaker 1: Like that, go, oh it's time. This is the thing 52 00:03:03,200 --> 00:03:05,720 Speaker 1: I do because it's Valentine's Well, I'm single right now, 53 00:03:05,880 --> 00:03:09,280 Speaker 1: but usually historically I've had really great boyfriends that have 54 00:03:09,360 --> 00:03:13,239 Speaker 1: always like done wild ass Valentine's say things. Um, what's 55 00:03:13,240 --> 00:03:18,480 Speaker 1: the best, what's the most elaborate? Um? Taking? Oh, taken 56 00:03:18,520 --> 00:03:22,560 Speaker 1: on trip? Last year, my ex boyfriend took me to 57 00:03:22,760 --> 00:03:26,320 Speaker 1: Spa and then we went to dinner, but then we 58 00:03:26,400 --> 00:03:29,480 Speaker 1: got on a fight. We were going to go that's 59 00:03:29,480 --> 00:03:33,440 Speaker 1: how your real couple. We got a fight because he 60 00:03:33,520 --> 00:03:36,480 Speaker 1: said he wanted our wedding to have five hundred people, 61 00:03:36,680 --> 00:03:41,440 Speaker 1: and I said, no, bitch, we're having a small wedding. Okay. 62 00:03:43,000 --> 00:03:46,440 Speaker 1: We got a legit fight about that because neither of 63 00:03:46,560 --> 00:03:49,680 Speaker 1: us back down, but we're not together anymore. Yeah, is 64 00:03:49,760 --> 00:03:56,120 Speaker 1: that because of that? Because I couldn't ended that night? No, no, no, 65 00:03:56,600 --> 00:04:00,080 Speaker 1: it ended out way later than that. But yeah, be 66 00:04:00,160 --> 00:04:06,240 Speaker 1: a gas wedding Indian. Yeah, I was like he wanted. Yeah, 67 00:04:06,400 --> 00:04:11,200 Speaker 1: he was slightly Catholic. If he had his way, he 68 00:04:11,320 --> 00:04:16,240 Speaker 1: would have like I don't know, fucking scrill Ex performing 69 00:04:16,440 --> 00:04:19,960 Speaker 1: and like everyone beyond like Molly. He was like, look, 70 00:04:20,000 --> 00:04:24,960 Speaker 1: I don't believe weddings are like about the girl was 71 00:04:25,360 --> 00:04:31,359 Speaker 1: very controversial. Roomzilla is amazing its own show. Just find 72 00:04:31,400 --> 00:04:33,760 Speaker 1: the only men who are like this has to be 73 00:04:33,800 --> 00:04:37,159 Speaker 1: perfect for me. Scrills performing and we all cheers with 74 00:04:37,279 --> 00:04:43,200 Speaker 1: Molly Water. He's like a juggle Molly Water. But it's 75 00:04:43,200 --> 00:04:45,040 Speaker 1: like lo jo, so like you could go ham on 76 00:04:45,040 --> 00:04:46,760 Speaker 1: it and like if you're really trying to roll hard, 77 00:04:46,800 --> 00:04:50,919 Speaker 1: you can drink a lot anyway. Anyway, broom thoughts Blair, 78 00:04:50,960 --> 00:04:52,120 Speaker 1: We're going to get to know you a little bit 79 00:04:52,200 --> 00:04:54,360 Speaker 1: better in a moment. First we're gonna tell our listeners 80 00:04:54,360 --> 00:04:56,680 Speaker 1: a few of the things we're talking about today. We're 81 00:04:56,680 --> 00:05:00,839 Speaker 1: going to cover a couple new innovations in algence is. 82 00:05:04,000 --> 00:05:08,080 Speaker 1: We're going to talk about some bad economic indicators that 83 00:05:08,120 --> 00:05:14,800 Speaker 1: are popping up, some Trump golf simulating, just new additions 84 00:05:14,880 --> 00:05:17,680 Speaker 1: to Trump's executive time. Uh. And then we're going to 85 00:05:17,760 --> 00:05:20,920 Speaker 1: talk about anti bactors and the fact that there is 86 00:05:21,120 --> 00:05:26,280 Speaker 1: a measles outbreak here in two thousand nineteen. All of 87 00:05:26,279 --> 00:05:28,279 Speaker 1: that and more. But first, blair Wood is something from 88 00:05:28,279 --> 00:05:31,600 Speaker 1: your search history that's revealing a bad who you are? Oh? 89 00:05:31,640 --> 00:05:37,040 Speaker 1: My last google's Richard Lewis. Richard Lewis. Yeah, um, well, 90 00:05:37,200 --> 00:05:40,000 Speaker 1: someone noted from my show last night. They're like, hey, 91 00:05:40,120 --> 00:05:42,880 Speaker 1: Richard Lewis is here. And I was like, oh no, 92 00:05:43,480 --> 00:05:52,200 Speaker 1: who then is Richard sick? That's so tight? And then 93 00:05:52,200 --> 00:05:54,039 Speaker 1: I googled it and then I was like, oh, he's 94 00:05:54,080 --> 00:05:57,440 Speaker 1: on curb enthusiasm in a famous comedian. Yeah, you guys 95 00:05:57,440 --> 00:06:02,280 Speaker 1: have very similar energy. Yeah. I was gonna say, you're 96 00:06:02,279 --> 00:06:06,200 Speaker 1: the twenty nineteen Richard Lewis. I love that, Love that 97 00:06:06,279 --> 00:06:10,680 Speaker 1: for me. Yeah, you're so dark and neurotic. Yeah, what 98 00:06:10,839 --> 00:06:15,000 Speaker 1: is something you think is underrated? Oh Mary Poppins movie. 99 00:06:15,440 --> 00:06:20,320 Speaker 1: Um yeah, Mary Poppins returns. Also crocs? Okay, oh hell yeah, 100 00:06:20,440 --> 00:06:26,240 Speaker 1: let's talk crocs. Okay, what is underrated about them? Do you? Well? 101 00:06:26,279 --> 00:06:28,760 Speaker 1: You're a cozy. I we need to get into her face? 102 00:06:28,920 --> 00:06:32,799 Speaker 1: Just changed when what's underrated about crocs? Your sunny disposion 103 00:06:32,880 --> 00:06:38,040 Speaker 1: turn to the scow like underrated by w Blair? Okay, 104 00:06:38,040 --> 00:06:40,240 Speaker 1: are you rocking crocs? Oh no, I'm not, but I 105 00:06:40,360 --> 00:06:41,839 Speaker 1: thought about it, but then I was like, no, good 106 00:06:41,880 --> 00:06:44,920 Speaker 1: for the rain? Yeah you know it is raining here 107 00:06:45,200 --> 00:06:48,479 Speaker 1: and cold here in southern Los Angeles. Yeah, but you 108 00:06:48,560 --> 00:06:52,200 Speaker 1: just like them. You you like the breatheability, the fact, 109 00:06:52,279 --> 00:06:57,360 Speaker 1: the comfort, the cushioning. Oh yeah. Also, I like sometimes 110 00:06:57,440 --> 00:07:00,720 Speaker 1: I just like things that everyone hates because I love 111 00:07:00,760 --> 00:07:04,200 Speaker 1: an underdog, you know what I mean? Like all my friends, 112 00:07:04,279 --> 00:07:06,280 Speaker 1: I'm like, why are you going so hard on crocs? 113 00:07:06,360 --> 00:07:08,560 Speaker 1: Like do you even know someone who wears crocs? Have 114 00:07:08,600 --> 00:07:12,440 Speaker 1: you even seen someone wearing crocs? To understand what? That 115 00:07:11,640 --> 00:07:17,440 Speaker 1: person's walked a mile in their crocks? And recently I 116 00:07:17,520 --> 00:07:21,880 Speaker 1: picked up a pair with my mom and their platform crocs, 117 00:07:21,920 --> 00:07:26,640 Speaker 1: which they said it couldn't be done. I found them, 118 00:07:26,760 --> 00:07:29,280 Speaker 1: So I'm living a really good life in them. I 119 00:07:29,320 --> 00:07:31,080 Speaker 1: love it. I feel like crocs is one of those 120 00:07:31,120 --> 00:07:35,560 Speaker 1: outgroup things that, like the liberal elites just decided like 121 00:07:36,080 --> 00:07:37,880 Speaker 1: the only people who live in the middle of the 122 00:07:37,880 --> 00:07:41,040 Speaker 1: country were crocs. I know a lot of liberals who 123 00:07:41,080 --> 00:07:45,400 Speaker 1: wear crocs. Really, but thing to make fun of. He 124 00:07:45,480 --> 00:07:50,000 Speaker 1: was trying to get Hathaway just for no reason. She said, yeah, oh, 125 00:07:50,080 --> 00:07:52,600 Speaker 1: like just hating on Anne Hathaway. Right, Oh you're saying 126 00:07:52,600 --> 00:07:54,680 Speaker 1: and I thought you said anne Hathaway hit she's the 127 00:07:54,680 --> 00:07:57,440 Speaker 1: crocs of people. Yeah, Anne Hathway. Anne Hathaway is a 128 00:07:57,440 --> 00:08:00,000 Speaker 1: great example of somebody had just turned every the world 129 00:08:00,200 --> 00:08:02,760 Speaker 1: turned on because of that one bad oscar hosting thing 130 00:08:03,080 --> 00:08:04,920 Speaker 1: or I don't even know if it was because that 131 00:08:05,280 --> 00:08:08,520 Speaker 1: like just one day they're like, yeah I hate, and 132 00:08:08,720 --> 00:08:11,560 Speaker 1: and someone else is like, yeah, I also hate. And 133 00:08:11,600 --> 00:08:15,560 Speaker 1: it's like you actually, wait, does everybody else it's still 134 00:08:15,680 --> 00:08:18,920 Speaker 1: mad at everyone for that. I think it's just okay, 135 00:08:18,960 --> 00:08:21,360 Speaker 1: this is what everybody's agreed on, so I can get 136 00:08:21,360 --> 00:08:24,720 Speaker 1: out of my jokes about bad things. Basically, and it's 137 00:08:24,760 --> 00:08:29,800 Speaker 1: a it's a inherently uncreative and insecure way to be 138 00:08:30,000 --> 00:08:32,920 Speaker 1: where you're just taking other people's opinions. Basically, you said it, 139 00:08:33,280 --> 00:08:37,000 Speaker 1: but you know, crop powered everybody else crocking it up. 140 00:08:37,160 --> 00:08:39,240 Speaker 1: And the new Mary Poppins is good. The music is good. 141 00:08:39,640 --> 00:08:47,640 Speaker 1: If when I say Somewhere ethereal it was magic, I 142 00:08:47,679 --> 00:08:51,240 Speaker 1: didn't know I could feel that way again at this age, 143 00:08:51,520 --> 00:08:54,160 Speaker 1: I encourage everyone out there to see it. I mean, 144 00:08:54,800 --> 00:08:59,560 Speaker 1: Emily Blunt spectacular. Every I was so good. I loved 145 00:08:59,760 --> 00:09:05,160 Speaker 1: like the fucking acid trippy, wild magic parts so good. Okay, 146 00:09:05,480 --> 00:09:07,880 Speaker 1: I didn't even know there were acid trippy magic parts. 147 00:09:07,880 --> 00:09:10,280 Speaker 1: So now I am excited and going to watch that. 148 00:09:10,960 --> 00:09:13,559 Speaker 1: Just full disclosure. You are a producer on the film 149 00:09:13,559 --> 00:09:16,600 Speaker 1: that does have points on the back end, right, Oh no, 150 00:09:16,679 --> 00:09:23,120 Speaker 1: I was super hollywoods. There are so many things that 151 00:09:23,200 --> 00:09:27,920 Speaker 1: I endure so fullheartedly. You know, um that I will 152 00:09:28,000 --> 00:09:31,280 Speaker 1: receive nothing back from. But you know that's okay. What 153 00:09:31,320 --> 00:09:35,040 Speaker 1: someone out there from the Croc's world is listening. What's 154 00:09:35,040 --> 00:09:39,960 Speaker 1: something you think is overrated? Oh? Oh, Macha, I fucking 155 00:09:40,080 --> 00:09:43,480 Speaker 1: hate macha. What are we doing? Every want to agreed here? 156 00:09:43,520 --> 00:09:46,280 Speaker 1: That ship is disgusting. One day I walk in and 157 00:09:46,320 --> 00:09:48,160 Speaker 1: I was like, I'm gonna get on board. I'm gonna 158 00:09:48,200 --> 00:09:50,840 Speaker 1: be healthy with this green shirt. In my body. Literally 159 00:09:50,880 --> 00:09:53,480 Speaker 1: tastes like toilet dirt. Why are you guys all aligned 160 00:09:53,480 --> 00:10:00,080 Speaker 1: to yourselves? Toilet dirt clean word for pooh, right, the 161 00:10:00,120 --> 00:10:04,440 Speaker 1: dirt is to toilet dirty. I made some toilet dirt. 162 00:10:04,960 --> 00:10:06,439 Speaker 1: What do you mean by it? So you mean just 163 00:10:06,520 --> 00:10:09,720 Speaker 1: green tea? No? No, no, no, no, no, two distinct 164 00:10:10,200 --> 00:10:13,240 Speaker 1: products like but I mean yeah, but maucha powder to 165 00:10:13,320 --> 00:10:15,920 Speaker 1: make green. I mean I'm thinking of Japanese green tea. 166 00:10:16,080 --> 00:10:19,360 Speaker 1: Is that we're talking about, no macho Like, actually, I 167 00:10:19,400 --> 00:10:23,320 Speaker 1: don't actually know the whole background in origins and history 168 00:10:23,360 --> 00:10:26,760 Speaker 1: and connection. How did you have it? Because maas is 169 00:10:26,760 --> 00:10:30,280 Speaker 1: green tea in Japan. Yeah. Yeah, but it's like so 170 00:10:30,840 --> 00:10:33,640 Speaker 1: it's just to Everyone is like going wild about it, 171 00:10:33,640 --> 00:10:36,320 Speaker 1: these macho latte's, and I think they do have like 172 00:10:36,360 --> 00:10:40,280 Speaker 1: a lot of health properties, but they taste horrible. And 173 00:10:40,320 --> 00:10:43,960 Speaker 1: all my friends act like it's the truth. And they 174 00:10:43,960 --> 00:10:46,200 Speaker 1: get these like seven dollar macha latte and they're like 175 00:10:46,400 --> 00:10:48,240 Speaker 1: it's so freaking good. I can't even start my day 176 00:10:48,280 --> 00:10:51,760 Speaker 1: without my macho latte, you know, And I wanted I try. 177 00:10:51,920 --> 00:10:54,800 Speaker 1: It's like I'll try anything. I'll try anything. It's weird 178 00:10:54,800 --> 00:10:57,200 Speaker 1: to have it as a latte. I mean, like, so 179 00:10:57,240 --> 00:10:59,840 Speaker 1: I'm assuming they put green tea like powdered green tea 180 00:11:00,040 --> 00:11:02,600 Speaker 1: into a normal lot time. Yeah, it's happening they have them. 181 00:11:02,600 --> 00:11:05,679 Speaker 1: I tried at Starbucks once, but like the powder doesn't 182 00:11:05,679 --> 00:11:11,160 Speaker 1: fully dissolve. What ye, Starbucks, did you like it? What 183 00:11:11,360 --> 00:11:16,720 Speaker 1: is it? Um? No? I like drinking like just like 184 00:11:16,800 --> 00:11:20,880 Speaker 1: macha with like hot water. Yeah, I like just I 185 00:11:20,920 --> 00:11:23,360 Speaker 1: love green tea, but I don't think they taste anything like. 186 00:11:23,760 --> 00:11:27,559 Speaker 1: I can't even find besides the green part, right, I think, Yeah, 187 00:11:27,600 --> 00:11:29,440 Speaker 1: I think just because of the way they process it 188 00:11:29,480 --> 00:11:32,240 Speaker 1: is maybe a bit different than green tea were used to. Yeah. 189 00:11:32,520 --> 00:11:35,720 Speaker 1: But yeah, if it tastes like totally dirt, don't eat. Yeah, 190 00:11:35,800 --> 00:11:38,600 Speaker 1: I can't go back. I got to be myself. Yeah. 191 00:11:38,760 --> 00:11:42,240 Speaker 1: Shout out to Shamrocks shakes, which were the original green beverage, 192 00:11:42,520 --> 00:11:48,120 Speaker 1: creamy green beverage or old milk. Yes, the true green 193 00:11:48,320 --> 00:11:51,319 Speaker 1: green drink. One piece of Irish heritage I'm proud of 194 00:11:51,440 --> 00:11:53,760 Speaker 1: is the Shamrock shake that McDonald would make every once 195 00:11:53,760 --> 00:11:56,920 Speaker 1: in a while. What is finally, what is a myth? 196 00:11:57,040 --> 00:11:59,440 Speaker 1: What something people think is true you know to be false. 197 00:12:00,120 --> 00:12:02,760 Speaker 1: I want to put this out there, but everyone thinks 198 00:12:02,800 --> 00:12:06,760 Speaker 1: that short guys have small weeners and they don't all right, 199 00:12:07,120 --> 00:12:14,120 Speaker 1: all right about it? Go off off, Okay, sorry my 200 00:12:14,160 --> 00:12:17,400 Speaker 1: mom if you're listening to this. But um, in my 201 00:12:17,480 --> 00:12:21,440 Speaker 1: own experience and the data and evidence that I have 202 00:12:21,600 --> 00:12:25,520 Speaker 1: empirically collected, UM, that's just not true. Like I've seen 203 00:12:25,600 --> 00:12:28,760 Speaker 1: some short, short guys with huge dogs and they're out 204 00:12:28,800 --> 00:12:32,000 Speaker 1: there just living their lives and no one knows what, 205 00:12:32,120 --> 00:12:35,400 Speaker 1: no one expects it. Um, So sometimes I don't think 206 00:12:35,440 --> 00:12:40,200 Speaker 1: that they get the credit or the people. Um, they 207 00:12:40,200 --> 00:12:42,800 Speaker 1: don't expect that. And talk dudes too, there could be 208 00:12:42,840 --> 00:12:48,560 Speaker 1: some mishaps there, you know, exactly, there's a there's all right, 209 00:12:48,640 --> 00:12:50,839 Speaker 1: I wasn't gonna I wasn't gonna say any names. And 210 00:12:51,200 --> 00:12:58,319 Speaker 1: Shock has a small witness on every commercial ever, then don't. 211 00:13:00,240 --> 00:13:03,480 Speaker 1: But yeah, I think that that is like sometimes your 212 00:13:04,120 --> 00:13:07,000 Speaker 1: body size doesn't have a lot to do with more 213 00:13:07,200 --> 00:13:10,000 Speaker 1: penis size and so or you could have like a 214 00:13:10,280 --> 00:13:12,719 Speaker 1: Chat could have a normal sized penis, but because he 215 00:13:13,200 --> 00:13:15,880 Speaker 1: is the biggest human being ever, it looks like a 216 00:13:15,880 --> 00:13:18,240 Speaker 1: normal sized penis on a truck. So it's just it 217 00:13:18,800 --> 00:13:22,760 Speaker 1: looks small. Imagine truck nuts on an airplane, right exactly, 218 00:13:22,880 --> 00:13:25,640 Speaker 1: it looks tiny. But with small dudes, like I'm sure 219 00:13:25,679 --> 00:13:30,280 Speaker 1: a normal sized penis on them looks big, you know, yeah, relatively, 220 00:13:30,640 --> 00:13:32,839 Speaker 1: I'd like to say, even on the more maco level, 221 00:13:32,920 --> 00:13:36,480 Speaker 1: Like I'm an advocate for short dudes, okay, yeah, like 222 00:13:36,640 --> 00:13:39,000 Speaker 1: a lot of times, I think they have big personalities 223 00:13:39,200 --> 00:13:41,120 Speaker 1: if it doesn't swing too far the other way to 224 00:13:41,280 --> 00:13:44,000 Speaker 1: like a Napoleon complex. Yeah, yeah, yeah exactly, because that 225 00:13:44,120 --> 00:13:46,520 Speaker 1: can also happen, but the Napoleon would have been fun 226 00:13:46,600 --> 00:13:49,720 Speaker 1: to date. I think they're nicer to girls, like, they're 227 00:13:49,760 --> 00:13:52,960 Speaker 1: probably better boyfriends because it, you know, and I think 228 00:13:52,960 --> 00:13:57,600 Speaker 1: they have good sized dicks for the most part. Sting, 229 00:13:57,840 --> 00:14:01,679 Speaker 1: I got your backs, awesome. What's short? What what do 230 00:14:01,720 --> 00:14:04,839 Speaker 1: you consider short? Like six was it compared to you? Yeah, like, 231 00:14:06,280 --> 00:14:08,559 Speaker 1: look that volleyball, so to me, that's short. In the 232 00:14:08,640 --> 00:14:13,640 Speaker 1: volleyball world, I did a few like huge dudes from college. 233 00:14:13,679 --> 00:14:15,839 Speaker 1: Like the girls on my volleyball team would be like, dude, 234 00:14:15,880 --> 00:14:19,800 Speaker 1: fuck you, how dare you? Because they're like, I need that. 235 00:14:19,840 --> 00:14:22,440 Speaker 1: I'm a middle blocker. What I mean I need somebody 236 00:14:22,440 --> 00:14:27,280 Speaker 1: six fives? Yeah exactly, but my last boyfriend was five seven. Yeah. 237 00:14:28,000 --> 00:14:31,120 Speaker 1: It would also be a defensive specialist probably, yeah, probably 238 00:14:32,360 --> 00:14:36,800 Speaker 1: but he likes to so jets Mob alright, j Mom. 239 00:14:37,560 --> 00:14:40,640 Speaker 1: Jets Mob was a gang high school, yes, and l 240 00:14:40,680 --> 00:14:42,960 Speaker 1: A used to go around sucking people up using jiu jitsu, 241 00:14:43,040 --> 00:14:52,400 Speaker 1: breaking people's arms on arms and yeah ju club. Dang. 242 00:14:53,160 --> 00:14:54,680 Speaker 1: It was like, well they were like I think there 243 00:14:54,680 --> 00:14:56,920 Speaker 1: are people from different I'm sure people. If you're from 244 00:14:57,040 --> 00:14:59,280 Speaker 1: l A remember Jets Mob, holler at me about jets Mob. 245 00:14:59,320 --> 00:15:01,080 Speaker 1: But like that was good thing. They would pull up 246 00:15:01,120 --> 00:15:03,880 Speaker 1: to parties. Dang, I'm glad you're okay. Oh yeah, they 247 00:15:04,280 --> 00:15:07,840 Speaker 1: mostly picked on like white kids. I was okay. I 248 00:15:07,920 --> 00:15:09,440 Speaker 1: was like, get away from me with that dumb ship. 249 00:15:10,640 --> 00:15:15,400 Speaker 1: Let's talk about some new innovations and indulgence. Um, so 250 00:15:15,440 --> 00:15:19,560 Speaker 1: we have two new innovations to talk about. Super Producer 251 00:15:19,560 --> 00:15:23,280 Speaker 1: around a Hosnie this morning set the group a message 252 00:15:23,400 --> 00:15:29,080 Speaker 1: about alcoholic ice cream. Boozy ice cream treats from Hoggends. 253 00:15:29,440 --> 00:15:32,320 Speaker 1: What is it? It is just booze ice cream, just yeah, 254 00:15:32,360 --> 00:15:35,000 Speaker 1: just booze flavored ice cream. There's one that's like stout, 255 00:15:35,440 --> 00:15:37,800 Speaker 1: that's like a stout flavored like so there's the ones 256 00:15:37,840 --> 00:15:41,640 Speaker 1: you would expect, like Irish cream, Irish cream brownie, Yeah, 257 00:15:41,680 --> 00:15:45,560 Speaker 1: Irish cream brownie. But then there's stout chocolate pretzel crunch, 258 00:15:45,920 --> 00:15:49,360 Speaker 1: so it's like Guinness flavored ice cream with chocolate and 259 00:15:49,400 --> 00:15:52,920 Speaker 1: pretzels in it. And do you need an idea to 260 00:15:53,040 --> 00:15:55,960 Speaker 1: buy that? I think so. I think there's like, literally 261 00:15:57,800 --> 00:16:01,680 Speaker 1: it's point less than point five per cent, So that's 262 00:16:01,760 --> 00:16:05,080 Speaker 1: gonna get drunk unless you melt a bunch of them 263 00:16:05,080 --> 00:16:11,120 Speaker 1: ships down and beer rum Trace late chase is trace 264 00:16:11,320 --> 00:16:12,840 Speaker 1: late Chase is that when we went to high school 265 00:16:12,840 --> 00:16:17,600 Speaker 1: with Oh my bad, it was with trace actis trace 266 00:16:19,080 --> 00:16:23,000 Speaker 1: uh and then amoretto black cherry almond toffee. Okay, but 267 00:16:23,720 --> 00:16:26,600 Speaker 1: that sounds sounds decent. Is there a need to like 268 00:16:26,800 --> 00:16:29,600 Speaker 1: is it really actually changing the flavor because of that 269 00:16:29,680 --> 00:16:32,280 Speaker 1: little bit of alcohol? I don't know. Yeah, maybe, like 270 00:16:32,760 --> 00:16:35,400 Speaker 1: have you ever had rum raisin? Like it? It tastes 271 00:16:35,440 --> 00:16:39,520 Speaker 1: better a little bit of like authentically a little bit 272 00:16:39,520 --> 00:16:41,480 Speaker 1: of alcoholic. I think it's a little bit. I remember 273 00:16:41,560 --> 00:16:44,240 Speaker 1: high school, my homegirls they used to bake calua brownies 274 00:16:44,480 --> 00:16:45,880 Speaker 1: and just because you could taste a little bit of 275 00:16:45,920 --> 00:16:48,040 Speaker 1: calua in them, they would like sell them to people 276 00:16:48,080 --> 00:16:50,240 Speaker 1: like they would get you fucked up, And that was 277 00:16:50,320 --> 00:16:52,760 Speaker 1: like a side hustle. Shout out to Maggie shot on 278 00:16:52,840 --> 00:16:55,840 Speaker 1: the volleyball team, you know what I mean? Yeah? Wait, 279 00:16:56,040 --> 00:16:59,400 Speaker 1: what that would I'd be so bum Like they're selling 280 00:16:59,440 --> 00:17:02,160 Speaker 1: a lot, Like because you didn't alcoholic ice cream, You're like, oh, 281 00:17:02,160 --> 00:17:04,160 Speaker 1: I'm going to get buzz from this, but the alcoholic 282 00:17:04,200 --> 00:17:07,160 Speaker 1: content is not enough so that like you're adding more 283 00:17:07,240 --> 00:17:10,160 Speaker 1: calories to your fucking ice cream. It's an infusion, that's 284 00:17:10,200 --> 00:17:12,000 Speaker 1: what they just called it, an infusion because they have 285 00:17:12,119 --> 00:17:15,000 Speaker 1: like adult milkshakes where they are throwing like shots in there, 286 00:17:15,200 --> 00:17:16,560 Speaker 1: you know what I mean. But this is just more 287 00:17:16,640 --> 00:17:18,440 Speaker 1: like and they are I do think they're selling a 288 00:17:18,520 --> 00:17:22,320 Speaker 1: lot because the amoretto black cherry toffee almond has a 289 00:17:22,480 --> 00:17:26,200 Speaker 1: literal shot of liquor on the label, Like that right, 290 00:17:26,359 --> 00:17:29,840 Speaker 1: They're just like, yeah, so you wanna put this down 291 00:17:30,080 --> 00:17:32,120 Speaker 1: with just the right amount of sweet. This non dairy 292 00:17:32,160 --> 00:17:34,400 Speaker 1: ice cream is a delight for anyone who prefers fruit 293 00:17:34,440 --> 00:17:36,920 Speaker 1: flavored ice cream to the traditional chocolate vanilla base with 294 00:17:36,960 --> 00:17:39,560 Speaker 1: a strong nutty flavor balancing out the black cherry amoretto swirls. 295 00:17:39,600 --> 00:17:41,520 Speaker 1: This creason was so smoothly creamy I couldn't even tell 296 00:17:41,600 --> 00:17:44,639 Speaker 1: was made without milk. Oh god, I do need to 297 00:17:44,680 --> 00:17:48,000 Speaker 1: give a shout out to Insider, which is apparently a 298 00:17:48,040 --> 00:17:51,639 Speaker 1: lifestyle website, for having the worst title in the history 299 00:17:51,840 --> 00:17:54,200 Speaker 1: of articles that I've ever seen. They said, I tried 300 00:17:54,320 --> 00:17:57,400 Speaker 1: all of the Hogan Dahs boozy ice creams, and they 301 00:17:57,440 --> 00:18:03,600 Speaker 1: were like alcoholic versions of child hood treats. I think 302 00:18:03,600 --> 00:18:06,280 Speaker 1: they're just giving you the information in the headline, like 303 00:18:06,480 --> 00:18:08,200 Speaker 1: you don't need to you don't need to click it anymore. 304 00:18:08,240 --> 00:18:10,920 Speaker 1: But that is that is the premise of them. It 305 00:18:11,080 --> 00:18:14,680 Speaker 1: was just restating because even this one, like from the 306 00:18:14,720 --> 00:18:17,600 Speaker 1: same website, an Instagram fitness model with thirteen million followers 307 00:18:17,680 --> 00:18:19,560 Speaker 1: was bitten by a pig while trying to take photos 308 00:18:19,640 --> 00:18:21,640 Speaker 1: with them in the Bahamas. I don't need to read 309 00:18:21,640 --> 00:18:24,840 Speaker 1: the article anymore. You could have been like Instagram fitness 310 00:18:24,920 --> 00:18:29,760 Speaker 1: model gets in wild. Fuck it right, man, I'll leave 311 00:18:29,800 --> 00:18:33,280 Speaker 1: them to write. I love that, though, I want to 312 00:18:33,320 --> 00:18:36,600 Speaker 1: find out more about that. That title for me is 313 00:18:36,720 --> 00:18:39,840 Speaker 1: like saying the new Mary Poppins is like a remake 314 00:18:40,080 --> 00:18:43,160 Speaker 1: of the old Mary Poppins. It's just like, yeah, motherfucker, 315 00:18:43,359 --> 00:18:46,440 Speaker 1: that's what we knew it was. Harris is the most 316 00:18:46,600 --> 00:18:49,080 Speaker 1: romantic city in the world. Here are ten ways to 317 00:18:49,160 --> 00:18:53,000 Speaker 1: celebrate love and travel. Yeah, you know, I'd click on 318 00:18:53,080 --> 00:18:58,159 Speaker 1: that ship, Miles. Let's talk about doubleheader bread bull. Oh 319 00:18:58,240 --> 00:19:02,280 Speaker 1: my god, yo, so Panera has lost their damn minds. 320 00:19:03,080 --> 00:19:08,160 Speaker 1: They put out a double barreled bread bull soup fucking 321 00:19:08,280 --> 00:19:12,760 Speaker 1: loaf nobody in on earth asked for what basically is 322 00:19:12,920 --> 00:19:16,040 Speaker 1: is like a rustic loaf. They cut out two big 323 00:19:16,119 --> 00:19:18,760 Speaker 1: circles in them, and it's like a dueling bread bull 324 00:19:19,160 --> 00:19:20,880 Speaker 1: that I guess they wanted to be like if you're 325 00:19:20,880 --> 00:19:23,200 Speaker 1: sharing a milkshake with somebody, or like a Sunday where 326 00:19:23,200 --> 00:19:25,520 Speaker 1: you can both scoop out of it. I'm not even 327 00:19:25,560 --> 00:19:28,800 Speaker 1: sure who this is for. I am absolutely their target demo. 328 00:19:29,040 --> 00:19:31,280 Speaker 1: Would you now, okay, great Blair, are you going to 329 00:19:31,359 --> 00:19:33,639 Speaker 1: eat that with someone else? Or you have a spoon 330 00:19:33,640 --> 00:19:35,000 Speaker 1: in your right hand and spoon in your left hand 331 00:19:35,080 --> 00:19:38,119 Speaker 1: and you're just alternating hands scooping out the bread bull. Honestly, 332 00:19:38,160 --> 00:19:43,000 Speaker 1: I couldn't see both scenarios happening very easily. I would 333 00:19:43,040 --> 00:19:45,760 Speaker 1: love I and the President. I'll sit on the same 334 00:19:45,840 --> 00:19:49,840 Speaker 1: side as the at the restaurant as my boyfriend. Yeah. 335 00:19:49,920 --> 00:19:52,320 Speaker 1: I love that. I think it's cute. I think that 336 00:19:52,400 --> 00:19:55,080 Speaker 1: would be really fun to share. I also love sharing food. 337 00:19:55,160 --> 00:19:59,360 Speaker 1: I'm Italian. I love to share. I think that's gorgeous. Yeah, 338 00:20:00,040 --> 00:20:02,520 Speaker 1: you would never do that. Uh No, I don't know, 339 00:20:02,600 --> 00:20:04,480 Speaker 1: it's just weird. I've just never I've never had a 340 00:20:04,520 --> 00:20:06,520 Speaker 1: bread bull and been like, damn, you know what. I 341 00:20:06,640 --> 00:20:09,440 Speaker 1: wish I could have a double barrel bread bull to 342 00:20:09,520 --> 00:20:11,879 Speaker 1: share with my friend. I feel like bread bulls, and 343 00:20:11,960 --> 00:20:14,000 Speaker 1: maybe I'm wrong, but I feel like bread bulls are 344 00:20:14,040 --> 00:20:17,359 Speaker 1: one of the most universally love things. I don't love 345 00:20:17,400 --> 00:20:19,399 Speaker 1: a bread bull. It's just that, like, I'm like, yo, 346 00:20:19,560 --> 00:20:21,879 Speaker 1: I think the bread bull was peak bread bull to me, 347 00:20:22,440 --> 00:20:25,640 Speaker 1: and now we're jumping the shark. I think they're taking 348 00:20:25,680 --> 00:20:27,760 Speaker 1: it too far, Like when they try to mix chocolate 349 00:20:27,880 --> 00:20:31,840 Speaker 1: with bacon and you're like, they're they're both perfect separate 350 00:20:31,880 --> 00:20:34,200 Speaker 1: into teeth. Yeah. Yeah, But I mean, I don't mind. 351 00:20:34,240 --> 00:20:36,120 Speaker 1: I don't have a problem with this either. I don't 352 00:20:36,119 --> 00:20:37,800 Speaker 1: have a problem with I'm just sort of like, I 353 00:20:37,880 --> 00:20:39,600 Speaker 1: don't I don't see how this is going to take 354 00:20:39,680 --> 00:20:41,159 Speaker 1: off though, you know, I don't see where this is 355 00:20:41,160 --> 00:20:43,280 Speaker 1: actually feeling like a void in a market where people 356 00:20:43,280 --> 00:20:45,920 Speaker 1: are like, oh, think, okay, great, I'm getting this, Miles. 357 00:20:46,000 --> 00:20:49,400 Speaker 1: It's a normal indulgence, innovation, find a new slant. Maybe 358 00:20:50,080 --> 00:20:52,880 Speaker 1: it's a stunt like the mcgrib you saw that took off. 359 00:20:53,800 --> 00:20:56,119 Speaker 1: I think you know they're dropping it around Valentine's Day, 360 00:20:56,160 --> 00:20:58,200 Speaker 1: so they want to be like, yo, split a bowl 361 00:20:58,240 --> 00:21:02,160 Speaker 1: of broccoli. Super, that's what I can do. And yeah, 362 00:21:02,240 --> 00:21:07,080 Speaker 1: it looked like the biggest asshole. What did you get, babe? 363 00:21:08,119 --> 00:21:17,680 Speaker 1: Close your eyes. I take her to a Panera with her, like, oh, 364 00:21:17,800 --> 00:21:19,600 Speaker 1: I don't know your wife is she would she would 365 00:21:19,600 --> 00:21:25,840 Speaker 1: be like, I'm taking the kids, We're moving to Pittsburgh. Crip. No, 366 00:21:26,119 --> 00:21:29,720 Speaker 1: she would be happy with anything. She is a great 367 00:21:29,800 --> 00:21:35,080 Speaker 1: wife because I would be out on the street. Let's 368 00:21:35,119 --> 00:21:40,639 Speaker 1: talk about some negative economic indicators. Yeah, so this is 369 00:21:40,800 --> 00:21:42,399 Speaker 1: this is news to me. All I've heard is just 370 00:21:42,680 --> 00:21:47,600 Speaker 1: fire stats about the economy that Connie's blowing off Trump. 371 00:21:48,040 --> 00:21:53,400 Speaker 1: This Trump economy can't be stopped to runaway train going 372 00:21:54,080 --> 00:21:59,040 Speaker 1: out of control. I don't know, book, I pay a 373 00:21:59,119 --> 00:22:03,520 Speaker 1: lot of attention to economic indicators. And uh so you 374 00:22:03,600 --> 00:22:06,760 Speaker 1: were saying, Miles that one of the indicators back in 375 00:22:06,920 --> 00:22:10,000 Speaker 1: oh eight was that five point five million Americans couldn't 376 00:22:10,000 --> 00:22:12,359 Speaker 1: pay their car notes. Yeah, and we're more than ninety 377 00:22:12,440 --> 00:22:14,600 Speaker 1: days behind on their car note. And that was like 378 00:22:14,960 --> 00:22:17,320 Speaker 1: some right before the crash, some people are like, huh, 379 00:22:17,400 --> 00:22:20,040 Speaker 1: that's weird. People can't keep up with their car anyways, 380 00:22:20,119 --> 00:22:22,639 Speaker 1: Bye bye, by hey, keep it going, baby, let's keep 381 00:22:22,720 --> 00:22:25,399 Speaker 1: lending people money. Well, right before two thousan five and 382 00:22:25,440 --> 00:22:28,159 Speaker 1: a half million were more than ninety days behind on 383 00:22:28,200 --> 00:22:31,400 Speaker 1: their car payment. Were getting close to that. Oh yeah, 384 00:22:31,440 --> 00:22:34,080 Speaker 1: in federalserv of New York just said there are more 385 00:22:34,119 --> 00:22:36,520 Speaker 1: than seven million car loans that are more than nine 386 00:22:36,720 --> 00:22:40,800 Speaker 1: days past due. Now it's you know, apparently the auto 387 00:22:40,920 --> 00:22:43,760 Speaker 1: loan business has been of booming, and like they are 388 00:22:43,920 --> 00:22:47,240 Speaker 1: approving people who probably might not be able to you know, 389 00:22:47,280 --> 00:22:49,920 Speaker 1: don't have the credit to actually get alan, but you know, 390 00:22:50,119 --> 00:22:52,120 Speaker 1: people have to get around whatever. I mean. That could 391 00:22:52,160 --> 00:22:54,200 Speaker 1: have something to do with the fact that the you know, 392 00:22:54,359 --> 00:22:58,280 Speaker 1: car buying and car leasing is probably going down because millennials, 393 00:22:58,320 --> 00:23:02,440 Speaker 1: I hear killing that because we're as right, and also 394 00:23:02,520 --> 00:23:04,959 Speaker 1: because of uber and like that. Yeah, well here's the thing. 395 00:23:05,040 --> 00:23:07,240 Speaker 1: So I mean a lot of people are like, yeah, 396 00:23:07,480 --> 00:23:09,159 Speaker 1: I mean they're starting to slip. It was more that 397 00:23:09,280 --> 00:23:11,879 Speaker 1: they weren't sort of sounding off alarm bells, but a 398 00:23:11,920 --> 00:23:13,720 Speaker 1: lot of people are like, oh, this was a precursor 399 00:23:13,800 --> 00:23:17,439 Speaker 1: to another recession and big event. But you know, if 400 00:23:17,560 --> 00:23:20,840 Speaker 1: the auto loan industry collapses, it's not as you know, 401 00:23:20,960 --> 00:23:23,480 Speaker 1: a huge threat to the economy is like the mortgage 402 00:23:23,520 --> 00:23:26,960 Speaker 1: industry collapse with people's homes. But still, I mean, it's 403 00:23:27,000 --> 00:23:30,560 Speaker 1: definitely a sign that many people are unable to manage 404 00:23:30,600 --> 00:23:33,399 Speaker 1: their bills are over extended. And also I think too, 405 00:23:33,520 --> 00:23:36,679 Speaker 1: with America being so like consumption heavy and like celebrity 406 00:23:36,720 --> 00:23:39,119 Speaker 1: worshiped on like the ship you have, a lot of 407 00:23:39,160 --> 00:23:41,200 Speaker 1: people can go get upside down on a car payment 408 00:23:41,200 --> 00:23:43,000 Speaker 1: because they're like, I'm not buying no use car, Like 409 00:23:43,080 --> 00:23:47,760 Speaker 1: I'm like the charger and it's like but I work, Yeah, 410 00:23:47,840 --> 00:23:50,240 Speaker 1: and you're like, hey, easy, now, let's let's let's spend 411 00:23:50,280 --> 00:23:52,480 Speaker 1: within our means. But yeah, I think it's definitely a 412 00:23:52,520 --> 00:23:54,959 Speaker 1: sign that at the very least people are having are 413 00:23:55,080 --> 00:23:57,359 Speaker 1: stretched a bit thin. You know, that's why you just 414 00:23:57,520 --> 00:24:00,479 Speaker 1: go with something sensible. Yeah, I mean the used car 415 00:24:00,680 --> 00:24:04,200 Speaker 1: a few days of Postmates that gets going ahead of you. 416 00:24:04,600 --> 00:24:09,639 Speaker 1: I can see how those car payments are kidding exactly irresponsible, 417 00:24:10,000 --> 00:24:12,800 Speaker 1: you know, but not talking about me. Yeah, but I 418 00:24:13,080 --> 00:24:18,920 Speaker 1: look that Rolls Royce race that you have. Thank you. 419 00:24:19,040 --> 00:24:21,600 Speaker 1: It's the most important thing about what's your what's your 420 00:24:21,640 --> 00:24:25,160 Speaker 1: monthly payment? Again? Fuck it? You know what I mean? 421 00:24:27,280 --> 00:24:29,119 Speaker 1: All right, we're gonna take a quick break. We'll be 422 00:24:29,240 --> 00:24:43,560 Speaker 1: right back, and we're back. And uh, while President Deals 423 00:24:43,680 --> 00:24:47,880 Speaker 1: has been you know, negotiating his way into one point 424 00:24:48,080 --> 00:24:52,200 Speaker 1: four billion dollars of wall funding or one point six 425 00:24:52,280 --> 00:24:55,080 Speaker 1: I forget how many, but but it's exactly what was 426 00:24:55,160 --> 00:24:59,199 Speaker 1: offered at the outset one point Okay, my bad, my bad. Right, 427 00:24:59,240 --> 00:25:01,720 Speaker 1: I think the first deal was like around one point 428 00:25:01,800 --> 00:25:04,040 Speaker 1: six point seven. Then they around like when I get 429 00:25:04,160 --> 00:25:06,920 Speaker 1: one point three, So he got a worse deal than 430 00:25:07,400 --> 00:25:11,359 Speaker 1: he started with ahead of the shutdown, you know, just 431 00:25:11,680 --> 00:25:14,760 Speaker 1: basically pulling the nuclear option. And also look, baby, you 432 00:25:14,800 --> 00:25:17,920 Speaker 1: know he just the dead is what twenty two trillion? Okay, 433 00:25:18,040 --> 00:25:20,119 Speaker 1: you know, President Deals, that got our back. But what 434 00:25:20,280 --> 00:25:23,040 Speaker 1: he didn't realize at that time is that the wall 435 00:25:23,119 --> 00:25:24,960 Speaker 1: is already mostly built and he only has to like 436 00:25:25,119 --> 00:25:28,440 Speaker 1: you know, shure up finished the wall. Yeah, so he's 437 00:25:28,480 --> 00:25:31,720 Speaker 1: down in Texas right now. Drudge is saying he started 438 00:25:31,760 --> 00:25:34,480 Speaker 1: with six miles of wall, even though the whole idea 439 00:25:34,560 --> 00:25:36,960 Speaker 1: was to build a wall from sea to shining Sea. 440 00:25:37,400 --> 00:25:40,120 Speaker 1: But he, you know, when he gets tired, of having 441 00:25:40,160 --> 00:25:42,600 Speaker 1: all this success and doing all these things that are 442 00:25:42,640 --> 00:25:47,440 Speaker 1: saving America, he has a new plan for killing some 443 00:25:47,640 --> 00:25:51,280 Speaker 1: time at the office. Uh. And by the way, this 444 00:25:51,400 --> 00:25:53,440 Speaker 1: is fair game that we're looking at, like how he 445 00:25:53,560 --> 00:25:57,920 Speaker 1: spends his free time. Uh, the right is meanwhile obsessing 446 00:25:57,960 --> 00:26:01,520 Speaker 1: about how the apartment build the AOC lives in there, 447 00:26:01,600 --> 00:26:04,240 Speaker 1: Like does she live in a luxury building? It's like 448 00:26:04,800 --> 00:26:07,720 Speaker 1: she's not allowed to live in a nice apartment. Yeah 449 00:26:07,960 --> 00:26:12,360 Speaker 1: that's a that's a headline a home. But she's supposed 450 00:26:12,400 --> 00:26:17,360 Speaker 1: to anyways. Trump, since he spent most of his free 451 00:26:17,400 --> 00:26:20,640 Speaker 1: time in executive time, which is just unstructured free play 452 00:26:20,760 --> 00:26:24,480 Speaker 1: time like a preschool, he has gotten a new golf 453 00:26:24,600 --> 00:26:27,840 Speaker 1: simulator for the Oval office, but you know, not to 454 00:26:27,920 --> 00:26:31,440 Speaker 1: shade him, because Obama had one put in. But Trump 455 00:26:31,560 --> 00:26:34,480 Speaker 1: was like, it's not good enough. Plus it doesn't let 456 00:26:34,520 --> 00:26:37,600 Speaker 1: you into golf clubs I could get into because a 457 00:26:37,640 --> 00:26:39,520 Speaker 1: black man couldn't get into some of these clubs. So 458 00:26:39,760 --> 00:26:42,000 Speaker 1: I got a better one. Yeah, he was like, I 459 00:26:42,080 --> 00:26:45,040 Speaker 1: think fifty dollar golf simulator that the White House, Like 460 00:26:45,119 --> 00:26:47,440 Speaker 1: he's paying for it out of his own pocket. But 461 00:26:47,520 --> 00:26:48,879 Speaker 1: it's just one of those things that has like the 462 00:26:49,000 --> 00:26:51,000 Speaker 1: screen and you just hit the fucking ball at it 463 00:26:51,440 --> 00:26:54,000 Speaker 1: and it, uh you can apparently play in like just 464 00:26:54,160 --> 00:26:57,800 Speaker 1: the most storied golf courses from around the world. Yeah, 465 00:26:58,000 --> 00:27:01,280 Speaker 1: and it'll like probably a just the lay so that 466 00:27:01,440 --> 00:27:04,920 Speaker 1: you can like put on like actual contoured greens and ship. 467 00:27:05,119 --> 00:27:07,320 Speaker 1: Oh yeah, I wonder, but I mean, at the very least, 468 00:27:07,720 --> 00:27:09,520 Speaker 1: what the funny thing was. I think they also made 469 00:27:09,520 --> 00:27:11,320 Speaker 1: a statement there, like, but he hasn't been using it 470 00:27:11,440 --> 00:27:15,720 Speaker 1: like in executive time, right, yeah, yeah, yeah, he's just 471 00:27:15,800 --> 00:27:20,119 Speaker 1: doing tweets and watching TV and just literally he's for 472 00:27:20,119 --> 00:27:21,680 Speaker 1: the last few weeks he's tried to see if he 473 00:27:21,760 --> 00:27:26,840 Speaker 1: could actually swallow a big mac cole. But yeah, that 474 00:27:27,000 --> 00:27:29,440 Speaker 1: is literally the only thing I respect about him is 475 00:27:29,480 --> 00:27:34,119 Speaker 1: how hard he rides for McDonald's. Are you McDonald I 476 00:27:34,240 --> 00:27:38,040 Speaker 1: love McDonald's. I only um either, like I don't need 477 00:27:38,119 --> 00:27:39,800 Speaker 1: that much because it makes you feel bad. But I 478 00:27:39,880 --> 00:27:42,200 Speaker 1: also think that like in my mind, I make it 479 00:27:42,280 --> 00:27:46,080 Speaker 1: so that the breakfast isn't unhealthy. Yeah, that's breakfast, Yeah, 480 00:27:46,760 --> 00:27:48,879 Speaker 1: doesn't account. It's only like if you get a nasty 481 00:27:49,000 --> 00:27:52,280 Speaker 1: with some chicken nugs and two cheesebag or comba, now 482 00:27:52,440 --> 00:27:55,200 Speaker 1: you're a filthy, disgusting person. But if you get that 483 00:27:55,240 --> 00:27:59,399 Speaker 1: double stack. That breakfast orange Joes, though, is like crack. 484 00:27:59,560 --> 00:28:02,240 Speaker 1: I swear of so much sugar. It's so good. It's 485 00:28:02,280 --> 00:28:04,879 Speaker 1: just like straight to your bloods I only drinking one. 486 00:28:04,880 --> 00:28:07,840 Speaker 1: I'm like hungover, but it just turns your mouth inside 487 00:28:07,840 --> 00:28:11,680 Speaker 1: out because it's so sweet. Like okay, um, okay, you 488 00:28:11,720 --> 00:28:22,480 Speaker 1: believe us, I believe you. So I just got a text. Okay, yeah, yeah, whatever, 489 00:28:23,680 --> 00:28:32,440 Speaker 1: three o'clock, three o'clock. What let's talk about measles? Fun comfortable? Yeah, 490 00:28:33,560 --> 00:28:36,280 Speaker 1: you know, are talking about because I thought it was 491 00:28:36,480 --> 00:28:39,480 Speaker 1: I thought we declared it eliminated and stuff you missed 492 00:28:39,520 --> 00:28:43,720 Speaker 1: in history class. Yeah, no, because there is a outbreak 493 00:28:43,800 --> 00:28:47,800 Speaker 1: of measles in the Pacific Northwest in a community that 494 00:28:48,160 --> 00:28:52,320 Speaker 1: has one of the lowest rates of vaccination. I think 495 00:28:53,280 --> 00:28:56,720 Speaker 1: is the vaccination right there versus is not enough for 496 00:28:57,120 --> 00:29:01,320 Speaker 1: herd immunity. And the reason that so few people are 497 00:29:01,560 --> 00:29:04,880 Speaker 1: being vaccinated there is not because it's like a you know, 498 00:29:05,440 --> 00:29:08,080 Speaker 1: poor place or like, you know, they don't have the funding. 499 00:29:08,560 --> 00:29:13,640 Speaker 1: It is a place where parents tend to have beliefs 500 00:29:14,520 --> 00:29:19,120 Speaker 1: about like vaccination choice is like how how they're terming it, 501 00:29:19,680 --> 00:29:23,080 Speaker 1: and it's basically this whole anti vax or campaign that 502 00:29:23,280 --> 00:29:29,280 Speaker 1: has started with a eighties nineteen eighties like study funded 503 00:29:29,320 --> 00:29:33,120 Speaker 1: by a British doctor that has since been retracted. But 504 00:29:33,400 --> 00:29:37,600 Speaker 1: it was published in like a respected paper journal Medicine 505 00:29:37,680 --> 00:29:39,520 Speaker 1: or something like that, right it was, I think it's 506 00:29:39,520 --> 00:29:42,400 Speaker 1: called the Lancet or something like that, but they've since 507 00:29:42,440 --> 00:29:46,640 Speaker 1: retracted it. And it also didn't say that these vaccinations 508 00:29:46,800 --> 00:29:51,680 Speaker 1: caused autism. It's just associated like one type of vaccination 509 00:29:51,920 --> 00:29:56,520 Speaker 1: with a stomach problem that coincided with autism in some cases. Uh. 510 00:29:56,640 --> 00:29:59,840 Speaker 1: And this doctor realized he could make tons and tons 511 00:29:59,880 --> 00:30:04,760 Speaker 1: of money by guessing parents up who have children with autism, 512 00:30:05,040 --> 00:30:07,400 Speaker 1: and when he was also I think connected to a 513 00:30:07,520 --> 00:30:11,360 Speaker 1: vaccine and alternative vaccine to MMR vaccines that he would 514 00:30:11,360 --> 00:30:14,440 Speaker 1: have profited off of by tearing that one down. Yeah, 515 00:30:14,440 --> 00:30:18,120 Speaker 1: because I think it's in Clark County, Washington. But yeah, 516 00:30:18,240 --> 00:30:22,040 Speaker 1: they're they have like laws where you can just basically say, oh, 517 00:30:22,160 --> 00:30:26,120 Speaker 1: I'm not vaccine for non religious personal like philosophical beliefs, 518 00:30:26,560 --> 00:30:30,640 Speaker 1: And I think Oregon and Idaho are also places where 519 00:30:30,720 --> 00:30:34,000 Speaker 1: you can basically make that decision. It's not a law 520 00:30:34,120 --> 00:30:36,400 Speaker 1: that your child has to be vaccinated if you have 521 00:30:36,640 --> 00:30:41,360 Speaker 1: personal beliefs. But in addition to this guy's paper that 522 00:30:41,800 --> 00:30:46,320 Speaker 1: kind of fucked the country over, it has also been 523 00:30:46,440 --> 00:30:52,280 Speaker 1: exacerbated this antivaccer movement by the Internet and specifically Russia, 524 00:30:52,720 --> 00:30:58,600 Speaker 1: and the Internet Research Agency is specifically like focused on 525 00:30:58,800 --> 00:31:03,080 Speaker 1: trying to get anti vax are messaging out there because 526 00:31:03,200 --> 00:31:06,680 Speaker 1: they just want to see the United States burned. Yeah, well, 527 00:31:06,720 --> 00:31:09,080 Speaker 1: it's a good wedge issue. They love wedge issues. And 528 00:31:09,240 --> 00:31:11,680 Speaker 1: this has been a thing that slowly has gained traction 529 00:31:12,800 --> 00:31:17,280 Speaker 1: because the scientifically illiterate are just listening to hot takes 530 00:31:17,440 --> 00:31:21,400 Speaker 1: or infographics. They see that they're saying, oh, this equals this, 531 00:31:22,000 --> 00:31:23,960 Speaker 1: and they would love to see nothing more than a 532 00:31:24,240 --> 00:31:28,280 Speaker 1: once eradicated disease begin to spread in the United States. Again, 533 00:31:28,800 --> 00:31:30,960 Speaker 1: not that it's just this is all because of Russia, 534 00:31:31,000 --> 00:31:33,920 Speaker 1: but it's just another element that Russia has identified as 535 00:31:33,960 --> 00:31:36,880 Speaker 1: like a week point in American society of being like, oh, wow, 536 00:31:36,960 --> 00:31:39,240 Speaker 1: some of these people don't believe science. Okay, let's let's 537 00:31:39,480 --> 00:31:40,920 Speaker 1: let's work with that a little bit. Yeah, and you 538 00:31:41,000 --> 00:31:44,880 Speaker 1: don't have to be like stupid to believe the stuff 539 00:31:45,120 --> 00:31:48,760 Speaker 1: because there is so much data and information out there 540 00:31:48,920 --> 00:31:51,960 Speaker 1: for both sides. That's the That's the thing that they've done, 541 00:31:52,200 --> 00:31:54,600 Speaker 1: is they've both sides it. So they will put out 542 00:31:54,680 --> 00:31:58,200 Speaker 1: studies that are saying that, you know, vaccines do cause autism, 543 00:31:58,240 --> 00:31:59,960 Speaker 1: and now they'll be like, but you know, there's other 544 00:32:00,080 --> 00:32:03,440 Speaker 1: people who claim they don't, and we're open to both sides. 545 00:32:03,800 --> 00:32:08,360 Speaker 1: When I just put vaccine into YouTube the top videos 546 00:32:08,480 --> 00:32:12,080 Speaker 1: pro vaccine verse anti vaccine, should your kids get vaccinating? 547 00:32:12,120 --> 00:32:14,760 Speaker 1: That's not even a question, right, Yeah, And it's it's 548 00:32:14,840 --> 00:32:17,560 Speaker 1: two groups of parents arguing back and forth, and it 549 00:32:17,600 --> 00:32:19,960 Speaker 1: doesn't come down on one side or the other. It's like, 550 00:32:20,400 --> 00:32:23,760 Speaker 1: you know, well that's your opinion, but here's our opinion, 551 00:32:24,040 --> 00:32:28,160 Speaker 1: and like these are two okay sides of a like 552 00:32:28,520 --> 00:32:31,160 Speaker 1: reasonable debate. Just like that Jabouki tweet, He's like, if 553 00:32:31,200 --> 00:32:33,520 Speaker 1: my child dies because I didn't want to vaccidate it, 554 00:32:33,600 --> 00:32:36,520 Speaker 1: that's my opinion, you know what I mean? And that's 555 00:32:36,560 --> 00:32:39,440 Speaker 1: the that's what's dangerous is because there's so much information 556 00:32:39,520 --> 00:32:43,880 Speaker 1: out there, misinformation, it keeps people off level footing about 557 00:32:43,920 --> 00:32:46,800 Speaker 1: what the science is. When a lot of the websites too, 558 00:32:46,840 --> 00:32:49,560 Speaker 1: when you look at like Facebook, two of those groups 559 00:32:49,600 --> 00:32:52,480 Speaker 1: where parents like where a lot of antivactors gather, they're 560 00:32:52,560 --> 00:32:56,160 Speaker 1: just disseminating like junk science, and there's never anything that 561 00:32:56,400 --> 00:33:00,440 Speaker 1: is from a real, yeah, reputable medical source. And I 562 00:33:00,480 --> 00:33:03,000 Speaker 1: think because of that one study was that's one that's 563 00:33:03,040 --> 00:33:04,760 Speaker 1: like sort of the origin myth that they hang on 564 00:33:04,880 --> 00:33:07,600 Speaker 1: to despite repeated things be like, Yo, this guy is 565 00:33:07,680 --> 00:33:09,280 Speaker 1: a quack. We have we had to kick him the 566 00:33:09,320 --> 00:33:12,040 Speaker 1: funk out. This is not real. Uh, this was a 567 00:33:12,200 --> 00:33:15,479 Speaker 1: dangerous thing and it caused this, this this little bit 568 00:33:15,520 --> 00:33:19,040 Speaker 1: of uncertainty among people that allowed this kind of thinking 569 00:33:19,120 --> 00:33:21,360 Speaker 1: to proliferate. And I think when you look at you know, 570 00:33:21,440 --> 00:33:25,360 Speaker 1: the numbers, right, measles on a continuum is much more 571 00:33:25,520 --> 00:33:29,480 Speaker 1: dangerous than vaccines are when if you contract the measles 572 00:33:29,800 --> 00:33:32,840 Speaker 1: versus like the possibility of some kind of vaccine injury. 573 00:33:33,160 --> 00:33:35,000 Speaker 1: And I think they point to these small cases because 574 00:33:35,120 --> 00:33:38,200 Speaker 1: millions of people get vaccinated, and you can point because 575 00:33:38,240 --> 00:33:40,040 Speaker 1: of the number the size of the group. You're like, well, 576 00:33:40,080 --> 00:33:42,280 Speaker 1: look at all these injuries, right, or this is our 577 00:33:42,360 --> 00:33:47,080 Speaker 1: perceived injuries. Yeah, that's like scientology like claims they have 578 00:33:47,280 --> 00:33:51,680 Speaker 1: like millions of people in their congregation when they actually 579 00:33:51,800 --> 00:33:56,480 Speaker 1: only have like two thousand, like like totally a lie 580 00:33:56,520 --> 00:34:00,160 Speaker 1: about all the numbers. It's scary about vaccination. Like I 581 00:34:00,240 --> 00:34:02,080 Speaker 1: am from Orange County and when I go back there, 582 00:34:02,120 --> 00:34:04,000 Speaker 1: you look at this as like something that's a total 583 00:34:04,120 --> 00:34:09,560 Speaker 1: common sense issue, and like I said something like I 584 00:34:09,680 --> 00:34:13,560 Speaker 1: was like at a party and um, a lot of 585 00:34:13,600 --> 00:34:15,759 Speaker 1: my brothers who are a little older than me, like 586 00:34:15,880 --> 00:34:18,560 Speaker 1: everyone has babies, and I was like, dude, who would 587 00:34:18,640 --> 00:34:22,040 Speaker 1: not vaccinated a kid? Like that's the worst thing you 588 00:34:22,080 --> 00:34:24,080 Speaker 1: could ever do? How could you not know that? And 589 00:34:24,200 --> 00:34:26,799 Speaker 1: my brother was like, Blair, there's like plenty of here. 590 00:34:27,239 --> 00:34:30,080 Speaker 1: There's like people here that don't vaccinate their kids. And 591 00:34:30,160 --> 00:34:32,560 Speaker 1: I was like, how is that even possible? And now 592 00:34:32,680 --> 00:34:35,880 Speaker 1: people do it on the low to like there's actually 593 00:34:35,960 --> 00:34:38,600 Speaker 1: like to think like people I know but aren't like 594 00:34:38,719 --> 00:34:41,360 Speaker 1: vaccinating their kids in Orange County, Like that's not like, 595 00:34:41,680 --> 00:34:43,800 Speaker 1: uh well, it's just like I think you know a 596 00:34:43,880 --> 00:34:46,200 Speaker 1: lot of people because again, there are a lot of 597 00:34:46,280 --> 00:34:49,480 Speaker 1: scary examples that that just speak to the fear and 598 00:34:49,560 --> 00:34:51,960 Speaker 1: people that allows people to be like, oh I don't 599 00:34:52,040 --> 00:34:56,360 Speaker 1: it's the it's the perceived potential for form that is 600 00:34:56,400 --> 00:34:59,160 Speaker 1: an important thing that I didn't really realize until I 601 00:34:59,239 --> 00:35:01,480 Speaker 1: started doing re search on this, that you know, there 602 00:35:01,640 --> 00:35:06,360 Speaker 1: are cases where getting a vaccine like has it's like, 603 00:35:06,480 --> 00:35:10,160 Speaker 1: one in two thousand times a kid will have a 604 00:35:10,200 --> 00:35:13,560 Speaker 1: negative reaction to a vaccine. They won't like have autism 605 00:35:13,680 --> 00:35:15,920 Speaker 1: or something like that, but they'll have some negative reaction. 606 00:35:16,440 --> 00:35:22,120 Speaker 1: And so the absolute, like safest way to go about 607 00:35:22,239 --> 00:35:25,880 Speaker 1: things for your kid is have everybody else be vaccinated, 608 00:35:26,000 --> 00:35:28,680 Speaker 1: and your kid doesn't get vaccinated because they're missing out 609 00:35:28,719 --> 00:35:30,799 Speaker 1: on that one out of two thousand chance that they 610 00:35:30,880 --> 00:35:34,400 Speaker 1: have a negative reaction and everybody else is vaccinated, so 611 00:35:34,560 --> 00:35:37,920 Speaker 1: you don't need to. But that is the most selfish 612 00:35:37,960 --> 00:35:40,759 Speaker 1: fucking thing you can do, because then that doesn't work 613 00:35:40,920 --> 00:35:43,600 Speaker 1: if everybody does that. Yeah, there are people posting, like, 614 00:35:44,280 --> 00:35:47,600 Speaker 1: like secretly pulling posts from Facebook of parents who are 615 00:35:47,640 --> 00:35:50,880 Speaker 1: anti vactors who have been like have basically ended up 616 00:35:50,920 --> 00:35:53,120 Speaker 1: getting sick or their kids are, and there's a lot 617 00:35:53,160 --> 00:35:56,400 Speaker 1: of people like it's it almost seems common sense. You're like, like, 618 00:35:56,520 --> 00:35:58,920 Speaker 1: I didn't vaccinate my child and now we both have 619 00:35:59,080 --> 00:36:02,040 Speaker 1: like protessis It's like, I feel so guilty. What do 620 00:36:02,160 --> 00:36:06,480 Speaker 1: I do? You missed your opportunity to do something about it. 621 00:36:06,800 --> 00:36:09,640 Speaker 1: But again, it's just a really weird thing to me 622 00:36:09,719 --> 00:36:13,360 Speaker 1: because it really takes this distrust of science for you 623 00:36:13,480 --> 00:36:15,880 Speaker 1: to have to take this first step into being like, no, 624 00:36:16,000 --> 00:36:18,359 Speaker 1: I'm working with this right. I feel like a lot 625 00:36:18,400 --> 00:36:22,040 Speaker 1: of those people are just a little nutty too. I'm sorry, 626 00:36:22,200 --> 00:36:25,560 Speaker 1: Like they don't like don't believe in climate change or 627 00:36:25,680 --> 00:36:28,400 Speaker 1: just like wacky ship that's like, but they are the 628 00:36:28,560 --> 00:36:31,520 Speaker 1: type of people who will believe in climate change, but 629 00:36:31,800 --> 00:36:34,440 Speaker 1: they won't. It's it's a weird because it's a lot 630 00:36:34,520 --> 00:36:37,080 Speaker 1: of like people to to the very far left who 631 00:36:37,120 --> 00:36:40,120 Speaker 1: don't vaccinate and very far to the right, But there's 632 00:36:40,160 --> 00:36:43,840 Speaker 1: also people on the far left who are like, you know, 633 00:36:44,160 --> 00:36:47,600 Speaker 1: I believe in alternative medicine, and I you know, like 634 00:36:47,719 --> 00:36:50,960 Speaker 1: the sorts of people who you encounter in like Venice 635 00:36:51,040 --> 00:36:53,839 Speaker 1: or Santa Monica when I lived there and I had 636 00:36:53,880 --> 00:36:56,920 Speaker 1: the same issue where I was like talking about antivaccors 637 00:36:56,960 --> 00:36:59,799 Speaker 1: being crazy, and then this mom was like, well, I'm 638 00:36:59,840 --> 00:37:01,719 Speaker 1: not an anti vaxer, but I do believe that we 639 00:37:01,760 --> 00:37:04,640 Speaker 1: should be able to space the vaccinations out, which is 640 00:37:04,719 --> 00:37:09,320 Speaker 1: like anti vax are light, but it's still like, because 641 00:37:09,440 --> 00:37:12,560 Speaker 1: we don't know what doing them bundling them all together does. 642 00:37:12,960 --> 00:37:16,640 Speaker 1: There's like a doctor who is in the southern California 643 00:37:16,760 --> 00:37:20,799 Speaker 1: area who specializes in teaching people how to do safe 644 00:37:20,880 --> 00:37:24,279 Speaker 1: vaccines because he knows that there's this fear out there. 645 00:37:24,520 --> 00:37:27,840 Speaker 1: And so yeah, it's like that it that gives it's 646 00:37:27,880 --> 00:37:31,320 Speaker 1: so sad and makes me bums me out about humanity 647 00:37:31,400 --> 00:37:34,440 Speaker 1: to think of like so many people in the medical 648 00:37:34,560 --> 00:37:40,799 Speaker 1: profession like profiting off of people's fear concerns. I mean, 649 00:37:40,920 --> 00:37:43,319 Speaker 1: there's like it can be very confusing. There's a lot 650 00:37:43,400 --> 00:37:46,520 Speaker 1: of information out there. If you can watch a video 651 00:37:46,640 --> 00:37:51,440 Speaker 1: about vaccination, and it'll be like scientists from Johns Hopkins 652 00:37:52,120 --> 00:37:56,080 Speaker 1: University Medical School, and you know, they're first of all, 653 00:37:56,120 --> 00:37:59,560 Speaker 1: the video that I found is of them describing it 654 00:37:59,800 --> 00:38:02,520 Speaker 1: is they're they're not good at communicating their message. It's 655 00:38:02,560 --> 00:38:06,080 Speaker 1: like reading a scientific paper, um. But they're talking about 656 00:38:06,120 --> 00:38:10,160 Speaker 1: this study on vaccination. The comments are full of people 657 00:38:10,239 --> 00:38:13,879 Speaker 1: being like how dare you? Like you've sold your soul 658 00:38:14,000 --> 00:38:16,840 Speaker 1: for profit and stuff like that. And then one of 659 00:38:16,960 --> 00:38:21,799 Speaker 1: the up next videos is the anti bactor's verse people 660 00:38:21,840 --> 00:38:25,480 Speaker 1: who believe in vaccines videos. But it can be very confusing. 661 00:38:25,560 --> 00:38:28,320 Speaker 1: There's all the both sides is um. But here's just 662 00:38:28,520 --> 00:38:33,120 Speaker 1: an easy test. Guys, if the Internet research agency from 663 00:38:33,280 --> 00:38:37,480 Speaker 1: Russia is backing your side, is lying to people, is 664 00:38:37,600 --> 00:38:40,279 Speaker 1: seating the Internet with your point of view. You need 665 00:38:40,400 --> 00:38:43,239 Speaker 1: to take a deeper look at your point of view. 666 00:38:43,480 --> 00:38:47,400 Speaker 1: It's not it's probably not good for the country. Russian 667 00:38:47,480 --> 00:38:49,279 Speaker 1: spies have been like, oh, here's a way to funk 668 00:38:49,360 --> 00:38:52,640 Speaker 1: with somebody, Like, we're gonna take someone's uneven footing on 669 00:38:53,400 --> 00:38:55,839 Speaker 1: something that most people gree our factors has some kind 670 00:38:55,880 --> 00:38:59,600 Speaker 1: of factual basis and we're unexploited, right, so yeah, good 671 00:38:59,719 --> 00:39:04,960 Speaker 1: rule them. Let's talk about something like like anti semitism 672 00:39:06,239 --> 00:39:12,880 Speaker 1: accusations to anti Semitism, Yeah, semitisms, anti Semitisms. So there's 673 00:39:12,880 --> 00:39:18,560 Speaker 1: been a controversy with Representative ilhan Omar basically being taken 674 00:39:18,600 --> 00:39:22,120 Speaker 1: to task over a tweet where her language seemed to 675 00:39:23,120 --> 00:39:26,279 Speaker 1: call to mind some standard anti Semitic tropes when she 676 00:39:26,400 --> 00:39:30,440 Speaker 1: said that the politicians support for Israel is all about 677 00:39:30,480 --> 00:39:34,520 Speaker 1: the Benjamin's and that kind of ties in with a 678 00:39:34,760 --> 00:39:41,359 Speaker 1: longstanding anti Semitic trope about Zionist money controlling government. Yeah. Yeah, 679 00:39:41,400 --> 00:39:43,680 Speaker 1: she's talking about a pack, right, She's talking about a 680 00:39:43,840 --> 00:39:47,480 Speaker 1: pack and the American Israel Public Affairs Committee, right, and 681 00:39:47,840 --> 00:39:51,200 Speaker 1: they are a very powerful lobbying group. Somebody was like, 682 00:39:51,640 --> 00:39:55,360 Speaker 1: I'd like to see who you think is paying these politicians, 683 00:39:56,040 --> 00:39:58,239 Speaker 1: and she was like, oh a pack. Like she just 684 00:39:58,480 --> 00:40:01,320 Speaker 1: straight up was like this is who i've but this 685 00:40:01,560 --> 00:40:05,080 Speaker 1: is a thing that is being Like Jeremy Corbin has 686 00:40:05,120 --> 00:40:07,919 Speaker 1: been attacked for being anti Semitic. He's the Labor Party 687 00:40:08,040 --> 00:40:13,719 Speaker 1: leader who won a surprising election in England last year. 688 00:40:14,200 --> 00:40:18,040 Speaker 1: And then because AOC talked to Jeremy Cormyan and had 689 00:40:18,160 --> 00:40:23,160 Speaker 1: like a public forum conversation with him, she's being like 690 00:40:23,400 --> 00:40:26,680 Speaker 1: asked about like whether she should be doing that and 691 00:40:26,760 --> 00:40:29,719 Speaker 1: whether she is anti Semitic. So it's a way that 692 00:40:29,920 --> 00:40:33,720 Speaker 1: people on the right are attacking people on the left 693 00:40:34,520 --> 00:40:37,240 Speaker 1: the center left too. Yeah, and people on the center 694 00:40:37,360 --> 00:40:39,920 Speaker 1: left are also attacking people on the left, um, because 695 00:40:39,960 --> 00:40:43,920 Speaker 1: we're this whole thing is around conflating criticism of Israel's 696 00:40:44,040 --> 00:40:49,040 Speaker 1: policies with being hatred towards Jewish people, and it's that's 697 00:40:49,120 --> 00:40:52,680 Speaker 1: not the case when you're talking about the actions of 698 00:40:52,880 --> 00:40:55,960 Speaker 1: Israel and the apartheid there and the blockade and Gaza 699 00:40:56,040 --> 00:40:59,840 Speaker 1: and all this other things and settlements, just those policies 700 00:41:00,000 --> 00:41:03,239 Speaker 1: are costing people their lives. It's a criticism of those policies, 701 00:41:03,320 --> 00:41:05,960 Speaker 1: not oh all Jews are this or that some kind 702 00:41:06,000 --> 00:41:08,719 Speaker 1: of weird problematic stereotype. UM, and I think a lot 703 00:41:08,760 --> 00:41:11,920 Speaker 1: of people don't realize that APAC was born out of 704 00:41:12,160 --> 00:41:15,360 Speaker 1: a a need to begin to spin the actions of 705 00:41:15,480 --> 00:41:18,000 Speaker 1: Israel in the United States because in there, in this 706 00:41:18,120 --> 00:41:21,480 Speaker 1: small town of Kabia, there was a massacre that occurred 707 00:41:21,520 --> 00:41:25,080 Speaker 1: where Israeli soldiers there was a very disproportionate what some 708 00:41:25,160 --> 00:41:27,719 Speaker 1: people just got as a casual mass murder, uh, in 709 00:41:27,840 --> 00:41:30,520 Speaker 1: response to an Israeli woman and child being killed by 710 00:41:30,600 --> 00:41:33,439 Speaker 1: Palestinian And they realized that the outcry in the United 711 00:41:33,480 --> 00:41:35,520 Speaker 1: States is like, what is going on here? We're supporting this. 712 00:41:36,280 --> 00:41:38,279 Speaker 1: The a few people were like, I think we need 713 00:41:38,320 --> 00:41:40,759 Speaker 1: to figure out a way to begin to create a 714 00:41:40,840 --> 00:41:44,640 Speaker 1: united front the United States and connecting American Jews to 715 00:41:44,800 --> 00:41:47,720 Speaker 1: support the actions of Israel and to kind of basically 716 00:41:47,760 --> 00:41:51,080 Speaker 1: inoculate the United States people to sort of not have 717 00:41:51,280 --> 00:41:55,279 Speaker 1: a negative look at these kinds of actions and Israel, like, 718 00:41:55,680 --> 00:41:59,480 Speaker 1: for context, Israel is at its most far right, like 719 00:41:59,600 --> 00:42:03,200 Speaker 1: it is being right now controlled by its equivalent of 720 00:42:03,360 --> 00:42:07,560 Speaker 1: the Trump administration or you know, the George W. Bush administration. 721 00:42:07,640 --> 00:42:11,040 Speaker 1: It is like has been controlled and is being controlled 722 00:42:11,080 --> 00:42:14,640 Speaker 1: by the like furthest right. So uh, that's why you 723 00:42:14,719 --> 00:42:16,799 Speaker 1: see a lot of people on the right now taking 724 00:42:16,920 --> 00:42:19,520 Speaker 1: up this idea of well, if you criticize them, you're 725 00:42:19,560 --> 00:42:23,800 Speaker 1: anti Semitic, because then you know that allows them and 726 00:42:24,120 --> 00:42:27,399 Speaker 1: their ally to get away with enforcing some very very 727 00:42:27,480 --> 00:42:31,560 Speaker 1: conservative and war like policies. Well, I think that's why 728 00:42:31,560 --> 00:42:33,920 Speaker 1: I like when you look at this right younger people 729 00:42:34,440 --> 00:42:38,720 Speaker 1: look at the whole issue a little more holistically, because 730 00:42:38,840 --> 00:42:41,120 Speaker 1: support for Israel for young people is I think an 731 00:42:41,200 --> 00:42:44,839 Speaker 1: economist pull from and found people eighteen to twenty nine, 732 00:42:44,960 --> 00:42:48,359 Speaker 1: only about a quarter of respond it's considered Israel even 733 00:42:48,440 --> 00:42:51,560 Speaker 1: an ally. And when you go from there to like 734 00:42:51,640 --> 00:42:54,759 Speaker 1: you said, the current government with Ness and Yahoo, it 735 00:42:55,120 --> 00:42:57,400 Speaker 1: runs in conflict with American Jews, who tend to be 736 00:42:57,600 --> 00:43:01,919 Speaker 1: very liberal and secular. So there's also already like even Jews, 737 00:43:02,000 --> 00:43:04,520 Speaker 1: they said, there was another pull about American Jews who 738 00:43:04,520 --> 00:43:06,440 Speaker 1: are voting. I think only about four percent said that 739 00:43:06,560 --> 00:43:09,320 Speaker 1: that factors into who they vote for. So there's a 740 00:43:09,760 --> 00:43:12,359 Speaker 1: we're starting to see. I mean, look, ilhan Omar caught 741 00:43:12,360 --> 00:43:14,279 Speaker 1: a lot of heat now all about the Benjamin thing. 742 00:43:15,080 --> 00:43:17,680 Speaker 1: This this look, you're you're opening yourself up to somebody 743 00:43:17,680 --> 00:43:19,560 Speaker 1: to be able to mischaracterize what you're trying to say 744 00:43:19,560 --> 00:43:21,239 Speaker 1: I think that could have been described a little bit better. 745 00:43:21,640 --> 00:43:24,279 Speaker 1: But what this has done, though, it's brought a pack 746 00:43:24,360 --> 00:43:26,440 Speaker 1: in the idea of like we're now having to have 747 00:43:26,520 --> 00:43:28,880 Speaker 1: a conversation of like, is there a way to actually, 748 00:43:29,440 --> 00:43:32,440 Speaker 1: when an open eyed, open hearted way, begin to discuss 749 00:43:32,960 --> 00:43:35,240 Speaker 1: the actions of Israel in a way that isn't immediately 750 00:43:35,239 --> 00:43:38,080 Speaker 1: going to be spun into anti Semitism, right, Yeah, And 751 00:43:38,400 --> 00:43:40,880 Speaker 1: I mean there has to be I think it's a 752 00:43:41,080 --> 00:43:44,640 Speaker 1: reasonable objection to be like, look, we don't want Israel 753 00:43:44,960 --> 00:43:48,080 Speaker 1: or the Israeli people or you know, Jewish people to 754 00:43:48,200 --> 00:43:51,799 Speaker 1: be accused of like having some secret conspiracy where they 755 00:43:51,840 --> 00:43:54,440 Speaker 1: control the media. We don't want it to be like 756 00:43:55,320 --> 00:43:58,239 Speaker 1: made into like you have to be able to acknowledge 757 00:43:58,360 --> 00:44:02,239 Speaker 1: that there's money involved in lobbying exists, but to just 758 00:44:02,520 --> 00:44:06,759 Speaker 1: like blindly be like, well we know what it's really motivated, right, 759 00:44:06,840 --> 00:44:09,239 Speaker 1: It can be a little bit you you just can't 760 00:44:09,280 --> 00:44:14,120 Speaker 1: be glib when talking about like Israel and motivation. You 761 00:44:14,280 --> 00:44:18,240 Speaker 1: have to be like detailed and specific. And again Trump 762 00:44:18,360 --> 00:44:20,320 Speaker 1: was like and pens are like, oh she should resign, 763 00:44:20,480 --> 00:44:21,880 Speaker 1: or Pencils like, well she should be taking off the 764 00:44:21,880 --> 00:44:24,400 Speaker 1: Foreign Fairs Committee or whatever, and she clap actus like, 765 00:44:24,440 --> 00:44:27,600 Speaker 1: I'm sorry, President Trump, you deal in all kinds of 766 00:44:27,719 --> 00:44:30,440 Speaker 1: racist bigotry all the time. You even say shit about 767 00:44:30,560 --> 00:44:33,680 Speaker 1: Jewish people that it could be seen I was dealing 768 00:44:33,719 --> 00:44:37,160 Speaker 1: with anti Semitic, deeply anti Semitic tropes. He has been 769 00:44:37,200 --> 00:44:41,239 Speaker 1: associated with very He's literally only anti hate when it 770 00:44:41,320 --> 00:44:46,880 Speaker 1: serves his agenda. Yeah, and he is like on the 771 00:44:47,040 --> 00:44:50,720 Speaker 1: flip side of that, he is unwilling to dissociate himself 772 00:44:50,840 --> 00:44:55,040 Speaker 1: with like legitimate anti semi too, are like think Jewish 773 00:44:55,080 --> 00:44:58,560 Speaker 1: people should be killed, Like that's that's a big chunk 774 00:44:58,600 --> 00:45:02,040 Speaker 1: of his support. They good people on both sides, right, exactly, 775 00:45:02,239 --> 00:45:05,960 Speaker 1: So they're anti Semitism is a real thing. It's an 776 00:45:06,080 --> 00:45:10,920 Speaker 1: incredibly dangerous thing. It exists around the world. But using 777 00:45:11,000 --> 00:45:15,320 Speaker 1: it as like a way to push back criticism of 778 00:45:15,640 --> 00:45:21,000 Speaker 1: aggressively conservative and violent policies by the Israeli state is 779 00:45:21,160 --> 00:45:24,800 Speaker 1: probably that's not good for Jewish people in general, and 780 00:45:25,360 --> 00:45:28,560 Speaker 1: it's not good for you know, the way that we 781 00:45:28,640 --> 00:45:31,359 Speaker 1: have this conversation. I'm curious for the people who are 782 00:45:31,480 --> 00:45:34,399 Speaker 1: immediately jumped to the conclusion that criticism of Israel's anti 783 00:45:34,440 --> 00:45:38,400 Speaker 1: semitic is there anything that they can honestly say, concede 784 00:45:38,440 --> 00:45:42,120 Speaker 1: a point that is a real criticism of their policy. Right, 785 00:45:42,360 --> 00:45:44,359 Speaker 1: would those people ever say anything, because I don't think 786 00:45:44,400 --> 00:45:47,239 Speaker 1: a lot of politicians who immediately jumped to those conclusions 787 00:45:47,760 --> 00:45:50,160 Speaker 1: can say things that would actually be like a you know, 788 00:45:50,600 --> 00:45:53,920 Speaker 1: like I said, an even handed criticism of or objective 789 00:45:54,160 --> 00:45:57,759 Speaker 1: analysis of the foreign policy and with a pack. Right 790 00:45:57,800 --> 00:45:59,600 Speaker 1: when when they talk about the money, it's not that 791 00:46:00,200 --> 00:46:03,319 Speaker 1: that they're paying politicians to say, you love Israel, here's 792 00:46:03,320 --> 00:46:05,680 Speaker 1: your money, here's your little fee. It's about like any 793 00:46:05,760 --> 00:46:08,640 Speaker 1: lobbying organizations like the n r A or fossil fuels, 794 00:46:08,719 --> 00:46:11,920 Speaker 1: if you're out here talking spicy about their industry, they 795 00:46:11,960 --> 00:46:14,239 Speaker 1: will put money into campaigns that are going to be 796 00:46:14,480 --> 00:46:17,040 Speaker 1: against you, that that will spend money against you, and 797 00:46:17,080 --> 00:46:20,560 Speaker 1: if you're supportive, they will fund operations that will support you. 798 00:46:20,960 --> 00:46:22,759 Speaker 1: So it's not that the money moves and like, let 799 00:46:22,840 --> 00:46:24,560 Speaker 1: me cut you a check for saying this. It's that 800 00:46:24,680 --> 00:46:27,239 Speaker 1: the forces because of a lot how lobbying works, that 801 00:46:27,600 --> 00:46:29,200 Speaker 1: if you stick your head out of the trenches and 802 00:46:29,280 --> 00:46:32,200 Speaker 1: have a hot take criticizing Israel, it's like, oh, well, 803 00:46:32,280 --> 00:46:34,960 Speaker 1: you will notice very quickly that money will be poured 804 00:46:35,000 --> 00:46:37,760 Speaker 1: into opponent or some kind of other campaign or opposition 805 00:46:37,840 --> 00:46:40,839 Speaker 1: research to try and begin to destabilize your your seat 806 00:46:40,920 --> 00:46:43,960 Speaker 1: in office or whatever. So you know, I think again, 807 00:46:44,239 --> 00:46:46,759 Speaker 1: I'm these are the kinds of conversations that need to 808 00:46:46,800 --> 00:46:50,719 Speaker 1: begin happening, because I think in general, young people have 809 00:46:50,960 --> 00:46:53,400 Speaker 1: a different view on what is happening in the region 810 00:46:53,760 --> 00:46:58,759 Speaker 1: than much older conservatives do, and and even older people 811 00:46:58,840 --> 00:47:02,520 Speaker 1: who are center. Yeah, exactly. And as we discussed, I 812 00:47:02,600 --> 00:47:05,680 Speaker 1: think it's important to realize that you can't talk about 813 00:47:06,160 --> 00:47:08,520 Speaker 1: a pack and is reel the same way you would 814 00:47:08,520 --> 00:47:10,600 Speaker 1: talk about the n r A. You would want to 815 00:47:10,719 --> 00:47:15,360 Speaker 1: be more careful and think about historic tropes because, like 816 00:47:15,480 --> 00:47:17,600 Speaker 1: we said, anti Semitism is real things. So you just 817 00:47:17,680 --> 00:47:22,240 Speaker 1: have to be more specific and more kind of cogent 818 00:47:22,480 --> 00:47:26,759 Speaker 1: of all of the history that exists. Right, all right, 819 00:47:26,880 --> 00:47:29,239 Speaker 1: Well we're going to take a quick break. We'll be 820 00:47:29,480 --> 00:47:44,440 Speaker 1: right back, and we're back. So the Wisconsin GOP has 821 00:47:44,520 --> 00:47:48,920 Speaker 1: voted to remove Colin Kaepernick's name from a Black History 822 00:47:49,000 --> 00:47:52,759 Speaker 1: Month resolution. Yeah all because they were looking at that 823 00:47:52,840 --> 00:47:54,080 Speaker 1: and the go, okay, who are the people who are 824 00:47:54,080 --> 00:47:59,759 Speaker 1: recognizing what wait, hold on, Colin nfl kneeler Kaepernick, uh 825 00:47:59,800 --> 00:48:05,000 Speaker 1: and a politician, the Republican Assembly speaker uh said, just 826 00:48:05,120 --> 00:48:07,440 Speaker 1: to justify their actions, I think it's important to recognize 827 00:48:07,480 --> 00:48:10,840 Speaker 1: the contributions of literally thousands and thousands of African Americans 828 00:48:10,920 --> 00:48:13,720 Speaker 1: to our state's history, but also trying to find people 829 00:48:13,800 --> 00:48:17,480 Speaker 1: who again bring us together, not look at people who 830 00:48:17,560 --> 00:48:21,959 Speaker 1: draw some sort of vitriol from either side. Okay, good, 831 00:48:22,520 --> 00:48:25,279 Speaker 1: so you just like make everybody friends, like that guy 832 00:48:25,680 --> 00:48:27,880 Speaker 1: MLK or whatever. I mean, he was all about just 833 00:48:28,000 --> 00:48:30,759 Speaker 1: loving your neighbor and like be nice to racists and 834 00:48:30,880 --> 00:48:34,120 Speaker 1: eventually they'll be chill. Yeah, and let some also just 835 00:48:34,320 --> 00:48:39,480 Speaker 1: support like the best organization, the NFL is what we 836 00:48:39,560 --> 00:48:42,920 Speaker 1: should stand behind. They're the ones that need us support 837 00:48:43,040 --> 00:48:47,879 Speaker 1: with like the most benevolent intentions. And I mean so many, 838 00:48:48,000 --> 00:48:51,640 Speaker 1: so many players after retirement are thriving. Yeah, and all 839 00:48:51,719 --> 00:48:54,239 Speaker 1: those wives who have been hit, you know what I mean, 840 00:48:54,719 --> 00:48:58,640 Speaker 1: we should just keep going for those NFL owners. They 841 00:48:58,680 --> 00:49:01,520 Speaker 1: need us to be fair. They do punish those guys 842 00:49:01,680 --> 00:49:03,719 Speaker 1: until the stories out of that happens. Yeah, and that 843 00:49:03,880 --> 00:49:05,560 Speaker 1: what didn't the chiefs that do from the chiefs just 844 00:49:05,600 --> 00:49:07,680 Speaker 1: gets signed to the brown brown who like kicked his 845 00:49:07,800 --> 00:49:11,600 Speaker 1: wife on cameras. Yeah, it wasn't even his wife. It 846 00:49:11,680 --> 00:49:15,680 Speaker 1: was just a partner, just like randomly. I don't I 847 00:49:16,239 --> 00:49:22,640 Speaker 1: think she might have been a girlfriend something, But yeah, 848 00:49:22,640 --> 00:49:24,800 Speaker 1: I mean, like you know, Comin Kabin, he's from Milwaukee. 849 00:49:25,239 --> 00:49:27,120 Speaker 1: And the only reason they included him on this it 850 00:49:27,239 --> 00:49:29,680 Speaker 1: wasn't because they were like, oh, his work for trying 851 00:49:29,760 --> 00:49:33,200 Speaker 1: to show the fuccory of the NFL should be recognized. 852 00:49:33,600 --> 00:49:35,960 Speaker 1: It should, But it was because he donated like a 853 00:49:36,160 --> 00:49:38,960 Speaker 1: like a good amount of money to a nonprofit organization 854 00:49:39,000 --> 00:49:42,239 Speaker 1: that works in urban areas like in the state, and 855 00:49:42,280 --> 00:49:45,040 Speaker 1: they're like, this is great, this is someone contributing to 856 00:49:45,160 --> 00:49:48,560 Speaker 1: this state and helping, Like we should recognize uh African 857 00:49:48,600 --> 00:49:51,080 Speaker 1: Americans from our state who are doing good. But again, 858 00:49:51,280 --> 00:49:52,840 Speaker 1: you want to flex your white privilege on him and 859 00:49:52,880 --> 00:49:56,000 Speaker 1: be like, well, let me completely obscure everything about what's 860 00:49:56,040 --> 00:49:57,800 Speaker 1: going on here, and let's just make this about some 861 00:49:57,880 --> 00:50:01,120 Speaker 1: other thing rather than you know, the actual issue at 862 00:50:01,160 --> 00:50:03,840 Speaker 1: hand that might be uncomfortable to talk about. Yeah, or 863 00:50:03,960 --> 00:50:07,680 Speaker 1: like police brutality in the country, that's a major issue. 864 00:50:07,760 --> 00:50:11,360 Speaker 1: But yeah, let's recognize and um some other people and 865 00:50:11,560 --> 00:50:16,520 Speaker 1: remove this person who had everything to lose and still gives. 866 00:50:17,880 --> 00:50:22,560 Speaker 1: Yeah for a state just being a random northern Midwestern state. 867 00:50:22,719 --> 00:50:26,480 Speaker 1: I know way too much about like corrupt politicians and 868 00:50:26,600 --> 00:50:31,319 Speaker 1: corrupt like local people from Wisconsin, like just from making 869 00:50:31,360 --> 00:50:35,879 Speaker 1: a murderer, or who's the police chief? Who is come 870 00:50:35,920 --> 00:50:42,879 Speaker 1: on Manitowa County? Yes, who's the David Clark? David David Clark. Uh? Yeah, 871 00:50:43,080 --> 00:50:46,600 Speaker 1: let's give your ship together, Wisconsin. Hey, but if you're 872 00:50:46,640 --> 00:50:49,920 Speaker 1: like getting Wisconsin, you'll help out bro do something. I 873 00:50:50,320 --> 00:50:53,040 Speaker 1: doubt anyone is like getting in Wisconsin. Who is a 874 00:50:53,120 --> 00:50:56,879 Speaker 1: local politician who is corrupt and Republican? If you are 875 00:50:57,920 --> 00:51:01,399 Speaker 1: out also, o yeah, if you're Wisconsin, is that gang 876 00:51:02,560 --> 00:51:04,239 Speaker 1: brings some receipts out? So we can talk about it. 877 00:51:04,280 --> 00:51:07,160 Speaker 1: If you know something, hit us up. Let's talk Howard 878 00:51:07,200 --> 00:51:10,920 Speaker 1: Schultz because everybody else's for some reason, he got a 879 00:51:11,040 --> 00:51:16,120 Speaker 1: town hall on CNN because CNN has learned their lesson 880 00:51:16,239 --> 00:51:19,560 Speaker 1: from the two thousand and sixteen election and they're just like, well, 881 00:51:19,760 --> 00:51:21,960 Speaker 1: people are talking about him, so let's give him a 882 00:51:22,040 --> 00:51:24,520 Speaker 1: town a town hall for someone who has not even 883 00:51:24,600 --> 00:51:27,520 Speaker 1: said he is actually running, right, How the funk do 884 00:51:27,600 --> 00:51:29,600 Speaker 1: you need it? What do you need a town hall for? Sir? 885 00:51:29,960 --> 00:51:32,479 Speaker 1: And you have you know, again, we're talking about people 886 00:51:33,040 --> 00:51:36,920 Speaker 1: with weird takes on race. Howard soults to their rescue. 887 00:51:36,960 --> 00:51:39,640 Speaker 1: So at this town hall, a woman asked, who was 888 00:51:40,400 --> 00:51:41,960 Speaker 1: I don't know if it's relevant. She's an owner of 889 00:51:42,000 --> 00:51:44,440 Speaker 1: a coffee shop, African American woman. She was saying, you know, 890 00:51:45,280 --> 00:51:48,160 Speaker 1: at one of your stores in Philadelphia, two black men 891 00:51:48,200 --> 00:51:50,400 Speaker 1: were arrested because they were just in the store. They 892 00:51:50,440 --> 00:51:52,839 Speaker 1: didn't even interact with people. The managers like, I don't 893 00:51:52,920 --> 00:51:56,479 Speaker 1: know these guys through right, and the and the cops 894 00:51:56,520 --> 00:51:58,480 Speaker 1: handcuffed him and everything. And they said, and then you 895 00:51:58,600 --> 00:52:02,800 Speaker 1: had a uncon just bias sensitivity racial sensitivity training for 896 00:52:03,000 --> 00:52:05,400 Speaker 1: all of your employees. Do you think that solved the problem. 897 00:52:06,000 --> 00:52:07,680 Speaker 1: And he was like, I'm so glad you asked that, 898 00:52:08,239 --> 00:52:11,200 Speaker 1: just meandering on and on about how unconscious bias effects 899 00:52:11,239 --> 00:52:13,680 Speaker 1: this is and that. Then he said he gave the 900 00:52:13,760 --> 00:52:17,520 Speaker 1: million dollar line that all white people, Oh this is 901 00:52:17,600 --> 00:52:19,600 Speaker 1: if you ever have you ever catch yourself saying this, uh, 902 00:52:19,920 --> 00:52:22,120 Speaker 1: you're wrong or you need to be able to explain 903 00:52:22,120 --> 00:52:23,920 Speaker 1: yourself a little bit more. But here we go. This 904 00:52:24,040 --> 00:52:26,239 Speaker 1: is Howard Soul's answer after he's sort of you know, 905 00:52:26,480 --> 00:52:29,720 Speaker 1: humming and highing about whether or not that anti racism 906 00:52:29,800 --> 00:52:33,680 Speaker 1: sensitivity training worked. I would just say, as somebody who 907 00:52:33,760 --> 00:52:36,319 Speaker 1: grew up in a very diverse background as a young 908 00:52:36,400 --> 00:52:39,440 Speaker 1: boy in the projects, I didn't see color as a 909 00:52:39,520 --> 00:52:43,600 Speaker 1: young boy, and I honestly don't see color now, honestly. 910 00:52:44,080 --> 00:52:47,160 Speaker 1: So for somebody who had just got done talking about 911 00:52:47,320 --> 00:52:51,160 Speaker 1: unconscious bias to then be like, I don't see color, 912 00:52:51,239 --> 00:52:53,920 Speaker 1: and it's like, well, then you're really letting your unconscious 913 00:52:53,960 --> 00:52:56,960 Speaker 1: bias just take the funk over. If you really honestly 914 00:52:57,040 --> 00:53:00,920 Speaker 1: believe that you don't see color, you're just you're blind 915 00:53:01,080 --> 00:53:04,200 Speaker 1: to it. Your brain just doesn't process different races Like 916 00:53:04,400 --> 00:53:07,840 Speaker 1: that's I think you're giving yourself way too much credit 917 00:53:08,000 --> 00:53:11,240 Speaker 1: and your way too ignorant of your own unconscious blinds. 918 00:53:11,400 --> 00:53:12,839 Speaker 1: What I would say is, okay, look, if you don't 919 00:53:12,840 --> 00:53:15,520 Speaker 1: see color, do you see a systemic racism? Do you 920 00:53:15,560 --> 00:53:18,960 Speaker 1: see invisible barriers that work as systems of oppression for 921 00:53:19,000 --> 00:53:20,799 Speaker 1: people of color in the country even though you don't 922 00:53:20,800 --> 00:53:23,839 Speaker 1: see color, can you see those things? Because those those 923 00:53:24,160 --> 00:53:26,160 Speaker 1: things exist. He seems like the sort of person who 924 00:53:26,200 --> 00:53:29,640 Speaker 1: would say yes, I do, and then would also argue 925 00:53:29,640 --> 00:53:32,960 Speaker 1: against taxing billionaires anymore than they're already. Yes I do, 926 00:53:33,080 --> 00:53:35,600 Speaker 1: but I grow up in the Bay View Canarsia Housing 927 00:53:35,719 --> 00:53:39,920 Speaker 1: so you know gang gang right, yeah, probably yeah, but 928 00:53:40,120 --> 00:53:43,080 Speaker 1: yeah again, I don't know what CNN is doing. This 929 00:53:43,239 --> 00:53:45,520 Speaker 1: man has no chance. There's no there's not even any 930 00:53:45,600 --> 00:53:47,719 Speaker 1: polling data. It's like, hey, we should keep a eye 931 00:53:47,719 --> 00:53:50,680 Speaker 1: on this, Howard shul Sky. Nope, he's not moving the needle. 932 00:53:50,719 --> 00:53:53,719 Speaker 1: If anything, he's going to have some kind of third 933 00:53:53,800 --> 00:53:57,399 Speaker 1: party effect in the worst case scenario and help uh 934 00:53:57,920 --> 00:54:02,399 Speaker 1: you know, fat Orange win right battle, there's polling saying 935 00:54:02,480 --> 00:54:04,759 Speaker 1: that he would actually pull more votes from Trump, but 936 00:54:05,160 --> 00:54:09,120 Speaker 1: it's just not even worth having that, Like, yeah, it 937 00:54:09,280 --> 00:54:11,520 Speaker 1: was funny. There's even studies about how that like color 938 00:54:11,640 --> 00:54:15,479 Speaker 1: blind argument, like his actual nonsense to like the idea, 939 00:54:15,520 --> 00:54:18,200 Speaker 1: like people who like deal in this kind of wishful thinking. 940 00:54:18,280 --> 00:54:21,680 Speaker 1: It's it's very interesting. Yeah, I mean no, there's ways 941 00:54:21,760 --> 00:54:24,800 Speaker 1: to test that, just like and you know when you 942 00:54:25,080 --> 00:54:28,160 Speaker 1: test people who claim to be color blind, but you 943 00:54:28,239 --> 00:54:32,960 Speaker 1: do that, there's like a instant reaction test that they 944 00:54:33,040 --> 00:54:37,000 Speaker 1: give people where you basically have to react to pictures 945 00:54:37,040 --> 00:54:39,680 Speaker 1: of people of different race faster than your mind can 946 00:54:39,760 --> 00:54:44,200 Speaker 1: process the thought and like can consciously decide what you 947 00:54:44,239 --> 00:54:47,560 Speaker 1: want to do, and like that proves that you still 948 00:54:47,680 --> 00:54:49,360 Speaker 1: have it, even if you don't want to admit it. 949 00:54:49,960 --> 00:54:53,600 Speaker 1: We still have that inherent bias. Yeah, hook up, Howard 950 00:54:53,640 --> 00:54:56,640 Speaker 1: sol saw those sensors. I have them walked through CANARSI 951 00:54:57,480 --> 00:54:59,040 Speaker 1: I would love to see something like hey, my man, 952 00:54:59,080 --> 00:55:01,279 Speaker 1: my man, my man running at him and see if 953 00:55:01,560 --> 00:55:04,960 Speaker 1: if he should just stays level and zen. Right. Oh no, right, 954 00:55:05,200 --> 00:55:07,000 Speaker 1: I mean but I don't see color, right, I just 955 00:55:07,080 --> 00:55:10,480 Speaker 1: see green. Baby. That's like that's like people's way of 956 00:55:10,640 --> 00:55:15,239 Speaker 1: trying to say, hey, I am not racist, but like 957 00:55:16,800 --> 00:55:20,120 Speaker 1: I don't see color. Yeah, I see scary people and 958 00:55:20,280 --> 00:55:24,959 Speaker 1: white people, right right right? Saying that just that's also 959 00:55:25,040 --> 00:55:28,520 Speaker 1: saying like, yeah, I don't acknowledge anyone suppression or any 960 00:55:28,640 --> 00:55:31,920 Speaker 1: issues that other people besides me may face. Yeah, so 961 00:55:32,160 --> 00:55:39,520 Speaker 1: vote for me. Alright. Uh, let's talk real quick about 962 00:55:39,640 --> 00:55:43,840 Speaker 1: why I am now for the first time excited about 963 00:55:43,880 --> 00:55:48,160 Speaker 1: the Avatar sequels because James Cameron is talking about the 964 00:55:48,160 --> 00:55:51,320 Speaker 1: Aquaman movies and he saw the exact same thing I 965 00:55:51,440 --> 00:55:54,520 Speaker 1: did in the Aquaman movie trailer. Yeah, the underwater ship. Yeah, 966 00:55:54,520 --> 00:55:56,799 Speaker 1: the underwater ship little stupid. It just looks like people 967 00:55:56,840 --> 00:55:59,480 Speaker 1: are flying around but not the most important thing. Okay, 968 00:56:00,120 --> 00:56:03,040 Speaker 1: all the Aquaman fans came from me. Okay, I get it. Okay, 969 00:56:03,120 --> 00:56:05,319 Speaker 1: it was might have been fun, but I'm talking straight 970 00:56:05,400 --> 00:56:08,640 Speaker 1: up what I saw, the depiction of underwater whatever. Because 971 00:56:08,680 --> 00:56:10,560 Speaker 1: he said, this is a quote, He goes, I could 972 00:56:10,600 --> 00:56:13,080 Speaker 1: have never made that film because it requires this total 973 00:56:13,200 --> 00:56:16,640 Speaker 1: dreamlike disconnect from any sense of physics or reality. It 974 00:56:16,760 --> 00:56:20,640 Speaker 1: exists somewhere between a Greek mythic landscape and a fairytale landscape, 975 00:56:20,960 --> 00:56:24,759 Speaker 1: and people just kind of zoom around underwater because they 976 00:56:24,920 --> 00:56:30,719 Speaker 1: propel themselves mentally. Verbatim was his quote. Now, all that 977 00:56:30,840 --> 00:56:33,480 Speaker 1: to say is he's like, I've spent thousands of hours 978 00:56:33,680 --> 00:56:36,240 Speaker 1: under the water. He's been in the lab man because 979 00:56:36,280 --> 00:56:40,080 Speaker 1: apparently the new Avatar movies, which are very believable right 980 00:56:40,400 --> 00:56:44,080 Speaker 1: well there, but like it's why, like all the all 981 00:56:44,120 --> 00:56:46,520 Speaker 1: the assumptions they ask you to make are insane. But 982 00:56:46,680 --> 00:56:48,720 Speaker 1: then he spends a lot of time on the visuals 983 00:56:48,760 --> 00:56:51,600 Speaker 1: to make it so you're anchoring just like accepts it. 984 00:56:52,160 --> 00:56:55,200 Speaker 1: So that's what he's been doing. Apparently a lot of 985 00:56:55,239 --> 00:56:58,759 Speaker 1: the Avatar sequels take place underwater, and he's like, that's 986 00:56:58,800 --> 00:57:02,719 Speaker 1: not what underwater looks like. Yeah, And he's been grinding 987 00:57:02,800 --> 00:57:04,799 Speaker 1: in the lab trying to find a way because he's 988 00:57:04,840 --> 00:57:07,160 Speaker 1: like he says, it has to look like it's actually 989 00:57:07,200 --> 00:57:10,879 Speaker 1: shot underwater, with like the way that everything's moving. So sure, 990 00:57:10,960 --> 00:57:13,320 Speaker 1: I guess that's an interesting, you know, weird flex but okay, 991 00:57:14,760 --> 00:57:17,400 Speaker 1: I totally respect just you know, that's because I'm having 992 00:57:17,440 --> 00:57:21,240 Speaker 1: a way more realistic underwater movies where people's ponytails fuck right, 993 00:57:21,480 --> 00:57:25,439 Speaker 1: and that's how they get down. This is almost killed 994 00:57:26,320 --> 00:57:30,200 Speaker 1: Ed Harris during the making of the Abyss because he 995 00:57:30,720 --> 00:57:34,320 Speaker 1: was just like so dedicated to like shooting people underwater, 996 00:57:34,600 --> 00:57:37,200 Speaker 1: like making it like r r r. He he is 997 00:57:37,400 --> 00:57:39,800 Speaker 1: very hard to work for when it comes to being underwater. 998 00:57:40,040 --> 00:57:43,120 Speaker 1: So shout out to anybody working on the Avatar sequel. 999 00:57:43,200 --> 00:57:47,080 Speaker 1: Your life is going to suck. Yeah, and possibly and 1000 00:57:47,520 --> 00:57:49,800 Speaker 1: we don't know. I beg you know, to your point though, 1001 00:57:49,920 --> 00:57:52,240 Speaker 1: even though Avatar like on its face is like yeah, okay, bro, 1002 00:57:53,040 --> 00:57:57,800 Speaker 1: like what unobtainium or whatever it was, like whatever it was, 1003 00:57:57,920 --> 00:57:59,880 Speaker 1: because like a lot of the landscapes were based on 1004 00:58:00,080 --> 00:58:01,960 Speaker 1: things that like he found in China, like those floating 1005 00:58:02,000 --> 00:58:04,000 Speaker 1: mountains and things like that. He tries to make things 1006 00:58:04,520 --> 00:58:07,680 Speaker 1: as believable in like the environmental sense as possible. So 1007 00:58:07,720 --> 00:58:10,760 Speaker 1: I'll give him that because if you remember, after Avatar 1008 00:58:10,880 --> 00:58:13,880 Speaker 1: came out, there are people who had like Pandora based depression, 1009 00:58:14,320 --> 00:58:16,760 Speaker 1: were like, I've seen the movie forty times, I just 1010 00:58:16,960 --> 00:58:19,240 Speaker 1: need to live in Pandora, Like it seems like that's 1011 00:58:19,280 --> 00:58:22,160 Speaker 1: the place I need to be there, homesick for Pandora 1012 00:58:22,480 --> 00:58:26,600 Speaker 1: because of the sensory experience. Yeah, I think Avatar is 1013 00:58:26,880 --> 00:58:31,280 Speaker 1: I think really unique as a cultural like Zeitgeist experience 1014 00:58:31,360 --> 00:58:35,800 Speaker 1: because it was the most like popular and Zeitgeist defining 1015 00:58:35,880 --> 00:58:39,880 Speaker 1: thing that just immediately disappeared from our memories. Nobody, like, 1016 00:58:40,040 --> 00:58:44,880 Speaker 1: nobody gives a shit about Avatar's best reproduction of Frengoli 1017 00:58:46,600 --> 00:58:49,160 Speaker 1: out there on the market, a lot of fun to 1018 00:58:49,240 --> 00:58:54,760 Speaker 1: look at, and it's intellectually just meaningless. Another criticism we 1019 00:58:54,840 --> 00:58:57,600 Speaker 1: had about Aquaman is that again, you know, because it 1020 00:58:57,760 --> 00:59:00,520 Speaker 1: was like an environmental aspect of Avatar is like, I mean, 1021 00:59:01,240 --> 00:59:03,280 Speaker 1: they didn't even help us understand it. Again, it says 1022 00:59:03,280 --> 00:59:05,280 Speaker 1: the film doesn't help us with our issues of actually 1023 00:59:05,360 --> 00:59:08,280 Speaker 1: understanding the ocean and exploring the ocean and preserving the ocean. 1024 00:59:08,760 --> 00:59:13,360 Speaker 1: It's like, okay, look, James Cameron is a noted asshole apparently, 1025 00:59:14,160 --> 00:59:16,960 Speaker 1: but the dude he can do no wrong as far 1026 00:59:17,000 --> 00:59:20,240 Speaker 1: as I'm concerned after a terminator too. So everyone ships 1027 00:59:20,280 --> 00:59:23,720 Speaker 1: on Avatar like that's another in athlet, you know. And 1028 00:59:23,880 --> 00:59:25,920 Speaker 1: I actually I saw it when it first came out 1029 00:59:25,960 --> 00:59:28,920 Speaker 1: in three D, and I was like, this is so cool. 1030 00:59:29,200 --> 00:59:33,360 Speaker 1: I loved it. It wasn't Aquaman, but like all these 1031 00:59:33,480 --> 00:59:38,160 Speaker 1: girls are seen it just because of yeah universal, all 1032 00:59:38,200 --> 00:59:43,520 Speaker 1: these girls are into him. Wait is Aquaman out yet? Yeah? 1033 00:59:45,640 --> 00:59:48,200 Speaker 1: I don't care about it. I probably won't see it, 1034 00:59:48,400 --> 00:59:52,320 Speaker 1: but um, I am really looking forward to Avatar sequels. Yeah. Now, 1035 00:59:52,360 --> 00:59:55,080 Speaker 1: I remember watching Avatar that my eyes were like getting 1036 00:59:55,160 --> 00:59:57,640 Speaker 1: dry because I wasn't blinking because I was so like, 1037 00:59:57,840 --> 01:00:02,160 Speaker 1: holy sh it, like my like just a amazed by everything. Yeah, 1038 01:00:02,400 --> 01:00:05,800 Speaker 1: they're red, really red. Yeah, I think it's just yeah, 1039 01:00:05,880 --> 01:00:07,440 Speaker 1: it was one of those things. Again, it's an in 1040 01:00:07,640 --> 01:00:09,880 Speaker 1: theater experience. It's not a thing you go, man, that's 1041 01:00:09,880 --> 01:00:11,880 Speaker 1: a fucking film that you need to see because a 1042 01:00:11,880 --> 01:00:14,240 Speaker 1: lot of like the story was like whatever, but yeah, 1043 01:00:14,240 --> 01:00:17,720 Speaker 1: as if as a a moment in cinema you're like, 1044 01:00:17,840 --> 01:00:21,720 Speaker 1: holy sh it. I also like when people get creatively competitive, 1045 01:00:22,000 --> 01:00:25,600 Speaker 1: like what does Aquaman even have to do with you? 1046 01:00:25,920 --> 01:00:28,680 Speaker 1: Like nothing, You're like, hey I have I'm like this 1047 01:00:29,840 --> 01:00:33,200 Speaker 1: creator of a cultural, huge cultural movie. But I just 1048 01:00:33,320 --> 01:00:37,200 Speaker 1: want to say how much this water movie sucks? Right, well, 1049 01:00:37,240 --> 01:00:39,600 Speaker 1: I think it's done so well. Yeah, and because so 1050 01:00:39,760 --> 01:00:43,160 Speaker 1: many of his movies do like he has dedicated his 1051 01:00:43,440 --> 01:00:46,800 Speaker 1: like Titanic. He made Titanic, shot it in like a 1052 01:00:46,880 --> 01:00:51,880 Speaker 1: big giant like bathtub, and also in Mexico. But then yeah, 1053 01:00:51,960 --> 01:00:56,080 Speaker 1: in Mexico, but then he explored underwater, like explored the 1054 01:00:56,160 --> 01:00:59,680 Speaker 1: Titanic and underwater like he's obsessed with, Like the a 1055 01:00:59,760 --> 01:01:02,680 Speaker 1: bit is like all like shot underwater, so he's like, 1056 01:01:03,160 --> 01:01:07,080 Speaker 1: I like literally almost killed a great actor to shoot underwater. 1057 01:01:07,160 --> 01:01:13,400 Speaker 1: And these assholes are just like, hey, he's just salty 1058 01:01:13,400 --> 01:01:17,720 Speaker 1: because Aquaman is doing like just doing bofo box office numbers. 1059 01:01:17,840 --> 01:01:19,480 Speaker 1: At the same time, I don't think he's ever had 1060 01:01:19,480 --> 01:01:23,040 Speaker 1: a movie that was as unsuccessful as Aquaman. Like yeah, 1061 01:01:23,160 --> 01:01:27,240 Speaker 1: but also this is a classic Madonna Lady Gaga situation, 1062 01:01:27,880 --> 01:01:35,880 Speaker 1: you know, just be happy for the younger coming up. Yeah, yeah, exactly. Yeah, 1063 01:01:36,040 --> 01:01:38,520 Speaker 1: And I'm sure I'm actually wrong about the Aquaman thing. 1064 01:01:38,560 --> 01:01:41,120 Speaker 1: It's doing better than I'm sure some of those movies. Yeah, 1065 01:01:41,160 --> 01:01:43,240 Speaker 1: I know, it's so good. Hey, what do you guys 1066 01:01:43,280 --> 01:01:46,200 Speaker 1: think about that? Beatles movie Before We Go Yesterday. What 1067 01:01:46,640 --> 01:01:49,560 Speaker 1: there's a Beatles movie coming out about the Beatles. No, 1068 01:01:49,960 --> 01:01:52,760 Speaker 1: it's like it's by the dude who wrote Love. Actually 1069 01:01:53,160 --> 01:01:56,720 Speaker 1: it's directed by Danny Boyle, the director of Slumdog Millionaire, 1070 01:01:57,000 --> 01:02:00,360 Speaker 1: and it's about this dude or train spotting, about this 1071 01:02:00,480 --> 01:02:03,640 Speaker 1: dude who gets hit by a car and when he's 1072 01:02:03,680 --> 01:02:07,240 Speaker 1: a musician and he's like, can't find people feeling his 1073 01:02:07,720 --> 01:02:09,439 Speaker 1: like he can't find people to listen to his music, 1074 01:02:09,720 --> 01:02:11,440 Speaker 1: gets hit by a car and when he wakes up, 1075 01:02:11,720 --> 01:02:14,640 Speaker 1: he plays a Beatles song and everyone's like, that's amazing 1076 01:02:14,840 --> 01:02:17,480 Speaker 1: you wrote that. He's like, no, that's a Beatles song 1077 01:02:17,560 --> 01:02:20,000 Speaker 1: and nobody knows what the Beatles are in this like 1078 01:02:20,240 --> 01:02:22,840 Speaker 1: world after he got hit by a car to kind 1079 01:02:22,880 --> 01:02:27,800 Speaker 1: of a convoluted, high concept thing. But it's also like wishful, 1080 01:02:28,200 --> 01:02:30,960 Speaker 1: like have you ever had that like wish where you're 1081 01:02:31,000 --> 01:02:34,880 Speaker 1: like and then I performed this song and everybody's like, damn, 1082 01:02:35,120 --> 01:02:37,400 Speaker 1: like that's your song. Wait. So it takes place in 1083 01:02:37,440 --> 01:02:39,920 Speaker 1: a world where guys hit by a car and then 1084 01:02:40,080 --> 01:02:42,400 Speaker 1: the rest of the world but he got hit by 1085 01:02:42,440 --> 01:02:44,160 Speaker 1: the car. He got hit by the rest of the 1086 01:02:44,240 --> 01:02:46,880 Speaker 1: world is fucked up. Now, Yeah, exactly. I'm having trouble 1087 01:02:46,880 --> 01:02:51,640 Speaker 1: with that. Oh I'm interview first in line. That sounds great. Convoluted, 1088 01:02:51,840 --> 01:02:53,800 Speaker 1: that would be great for like as a comedian who's like, 1089 01:02:53,840 --> 01:02:56,160 Speaker 1: can I'll just do all the washed material from the nineties? 1090 01:02:57,120 --> 01:03:05,240 Speaker 1: Have you ever had that? Yeah? But like, yeah, I've 1091 01:03:05,320 --> 01:03:07,160 Speaker 1: had that. Like it. Well, if I wasn't back to 1092 01:03:07,200 --> 01:03:09,920 Speaker 1: the future, I would, you know, back and and then 1093 01:03:10,000 --> 01:03:13,720 Speaker 1: and rock and roll, but install that invention. So he okay, 1094 01:03:13,760 --> 01:03:16,040 Speaker 1: So then he goes out, he starts playing Beatles songs 1095 01:03:16,120 --> 01:03:18,240 Speaker 1: and people are just being like, this guy's a genie. Yeah, 1096 01:03:18,240 --> 01:03:20,880 Speaker 1: he becomes a huge star and then who the fun 1097 01:03:21,000 --> 01:03:23,560 Speaker 1: knows what happens. Why do I hear James Cordon's voice 1098 01:03:23,600 --> 01:03:26,440 Speaker 1: in the trailer because he goes on the James Cordon 1099 01:03:26,520 --> 01:03:31,520 Speaker 1: Show because he's he goes on as himself and he's 1100 01:03:31,680 --> 01:03:35,120 Speaker 1: and he's front like he's fucking John, Paul, George and 1101 01:03:35,240 --> 01:03:37,720 Speaker 1: Ringo like all that she wrote all of their songs. 1102 01:03:37,960 --> 01:03:40,680 Speaker 1: That's so funny. They have all of their songs in 1103 01:03:41,200 --> 01:03:43,480 Speaker 1: the movie, which I was like, wait, how did they 1104 01:03:43,520 --> 01:03:45,760 Speaker 1: get all the Beatles songs? And then I realized that, 1105 01:03:45,840 --> 01:03:48,800 Speaker 1: like one of my son's favorite shows is the beat bugs, 1106 01:03:48,880 --> 01:03:51,240 Speaker 1: which is just bugs singing Beatles songs. I was like, oh, 1107 01:03:51,320 --> 01:03:54,560 Speaker 1: the Beatles are cashing in beat bugs. You know, this 1108 01:03:54,840 --> 01:03:57,840 Speaker 1: is one of the most predictable outcomes though, you know 1109 01:03:58,160 --> 01:04:01,840 Speaker 1: how it's gonna Yeah, he's gonna get found out. He's 1110 01:04:01,880 --> 01:04:03,960 Speaker 1: gonna have to tell the truth, and then there will 1111 01:04:04,000 --> 01:04:07,120 Speaker 1: be something redemptive about him, right right, yeah, with his 1112 01:04:07,200 --> 01:04:10,120 Speaker 1: own music, right, his own music, Sorry to all the 1113 01:04:10,240 --> 01:04:17,200 Speaker 1: listeners worldwide, right, just using yes to start over? Is 1114 01:04:17,200 --> 01:04:19,480 Speaker 1: that a college party? With a kiss the guitar and 1115 01:04:19,600 --> 01:04:22,760 Speaker 1: just starts playing Blackbird and Hedle? Like, wait, what's that? Right? 1116 01:04:23,600 --> 01:04:27,280 Speaker 1: I don't know. I mean, I guess this sounds like 1117 01:04:27,360 --> 01:04:29,960 Speaker 1: a good It just sounds like a script. A very 1118 01:04:30,320 --> 01:04:34,120 Speaker 1: frustrated failed musician wrote. It was like, damn bro, Like 1119 01:04:34,200 --> 01:04:36,160 Speaker 1: if I was back then, I could have thought of 1120 01:04:36,240 --> 01:04:38,800 Speaker 1: songs like that. Yeah, exactly, They're a good bar on it. 1121 01:04:38,920 --> 01:04:41,200 Speaker 1: Just like when you look at like eighties comedy scripts 1122 01:04:41,200 --> 01:04:43,480 Speaker 1: and you're like, how the fund did someone think that 1123 01:04:43,760 --> 01:04:48,520 Speaker 1: Okay was a different place that Well, Blair, it's been 1124 01:04:48,600 --> 01:04:52,960 Speaker 1: such a pleasure having you back. Where find you? You 1125 01:04:53,080 --> 01:04:55,880 Speaker 1: can find me online app Blair SAKI B L A 1126 01:04:56,040 --> 01:04:58,720 Speaker 1: I R. S O C C. I on Instagram and 1127 01:04:58,760 --> 01:05:01,960 Speaker 1: Twitter and have a show, The Blair and Greta Show 1128 01:05:02,280 --> 01:05:06,400 Speaker 1: every Tuesday at Gengis Cohen in West Hollywood. All right, 1129 01:05:06,680 --> 01:05:09,840 Speaker 1: and is there a tweet you've been enjoying? Oh yeah, Okay, 1130 01:05:10,000 --> 01:05:15,000 Speaker 1: this girl Maddie Smith and she's at so Maddie Smith. 1131 01:05:15,880 --> 01:05:17,920 Speaker 1: I think she's such a funny joke writer. But one 1132 01:05:17,960 --> 01:05:21,520 Speaker 1: tweet that I really liked that she said had sex 1133 01:05:21,600 --> 01:05:23,439 Speaker 1: with a dude who couldn't stay hard. So I asked 1134 01:05:23,520 --> 01:05:25,480 Speaker 1: him to explain Reddit and I p a s to me, 1135 01:05:25,600 --> 01:05:31,160 Speaker 1: which helped. Yeah. Man, Oh did you tweet something about 1136 01:05:31,240 --> 01:05:33,439 Speaker 1: dudes like not being able to fund because of porn 1137 01:05:33,560 --> 01:05:35,760 Speaker 1: or something? Yeah? Yeah, was that was that? Because you 1138 01:05:35,800 --> 01:05:37,920 Speaker 1: were thinking about this? Oh? No, I had to go 1139 01:05:38,080 --> 01:05:41,360 Speaker 1: back and look, this was from a while ago. Oh 1140 01:05:41,520 --> 01:05:44,680 Speaker 1: can I say one more of her? One time a 1141 01:05:44,760 --> 01:05:46,560 Speaker 1: doctor told me I should be dead after I told 1142 01:05:46,640 --> 01:05:48,680 Speaker 1: him how much I drink. So I turned my life 1143 01:05:48,720 --> 01:05:50,840 Speaker 1: around and stopped telling him the truth about how much 1144 01:05:50,840 --> 01:05:54,960 Speaker 1: I drink. My boyfriend nobody tells the truth that how 1145 01:05:55,040 --> 01:05:57,360 Speaker 1: much they drink to their doctor. I think that's the 1146 01:05:57,600 --> 01:06:01,680 Speaker 1: There's this study that the dude who like basically was 1147 01:06:01,720 --> 01:06:05,880 Speaker 1: an archaeologist of modern America, and he would dig into 1148 01:06:06,440 --> 01:06:10,720 Speaker 1: like garbage keeps and like he found that people underestimate 1149 01:06:10,760 --> 01:06:13,600 Speaker 1: they're drinking by a factor of like two to three. 1150 01:06:14,160 --> 01:06:16,760 Speaker 1: I'm sure yeah, when they're talking to doctors are answering, 1151 01:06:17,160 --> 01:06:19,520 Speaker 1: So like we just lie about the only people who 1152 01:06:19,560 --> 01:06:21,640 Speaker 1: are honest about how much they drink our college students 1153 01:06:21,800 --> 01:06:25,640 Speaker 1: are college age men. To yo, dude, I'll fuck I 1154 01:06:25,760 --> 01:06:29,040 Speaker 1: fucking pounded a fifth, like fucking like in three hours, dog, 1155 01:06:30,560 --> 01:06:36,439 Speaker 1: even because I was like that was too much. Uh, Miles, 1156 01:06:36,480 --> 01:06:38,600 Speaker 1: where can people find you? You can find me on 1157 01:06:38,760 --> 01:06:42,480 Speaker 1: Twitter and Instagram at miles of gray buff. Before I 1158 01:06:42,560 --> 01:06:44,200 Speaker 1: get to my tweets, I just want to let people 1159 01:06:44,240 --> 01:06:47,520 Speaker 1: know Tea Public is having a flash sale. So if 1160 01:06:47,560 --> 01:06:49,800 Speaker 1: you need a last minute Valentine's Day give for that 1161 01:06:50,040 --> 01:06:52,880 Speaker 1: Zeit Gang member in your life, please head to te 1162 01:06:52,960 --> 01:06:55,200 Speaker 1: public dot com size daily Zeitgeist, you know, just search 1163 01:06:55,280 --> 01:06:57,240 Speaker 1: for our merch on there because they're doing a sale 1164 01:06:57,240 --> 01:06:59,800 Speaker 1: and they'll hook you up with some low, low prices. 1165 01:06:59,840 --> 01:07:02,680 Speaker 1: Today a couple of tweets are like, one is from 1166 01:07:02,800 --> 01:07:04,960 Speaker 1: Jake Wiseman. It says I've said it before and I'm 1167 01:07:04,960 --> 01:07:08,200 Speaker 1: saying it again now. El Chapo would crush at the 1168 01:07:08,320 --> 01:07:13,840 Speaker 1: moss uh, and then another one because actually this reminded 1169 01:07:13,840 --> 01:07:15,560 Speaker 1: me of you, Blair, because you brought it up. Jabuki 1170 01:07:15,600 --> 01:07:18,000 Speaker 1: at Jabouki tweeted do couples who sit on the same 1171 01:07:18,040 --> 01:07:20,360 Speaker 1: side of the table deserve rights? I saw that. I 1172 01:07:20,440 --> 01:07:26,720 Speaker 1: almost wrote back to him, yeah, because you know, yeah, 1173 01:07:26,760 --> 01:07:29,440 Speaker 1: And also it just shows I don't care what everyone 1174 01:07:29,480 --> 01:07:32,640 Speaker 1: else thinks because I'm in love. I didn't realize that 1175 01:07:32,800 --> 01:07:35,080 Speaker 1: was like a taboo. Well, I don't think of it 1176 01:07:35,200 --> 01:07:37,240 Speaker 1: as a thing you do with somebody you really like. 1177 01:07:37,400 --> 01:07:39,200 Speaker 1: I just think of it as a thing you do 1178 01:07:39,480 --> 01:07:42,280 Speaker 1: at a restaurant where like one person staring at the 1179 01:07:42,360 --> 01:07:44,200 Speaker 1: wall and the other person has a view of like 1180 01:07:44,360 --> 01:07:48,400 Speaker 1: a good rest like I want to sit on that side. 1181 01:07:48,480 --> 01:07:50,960 Speaker 1: So it's about view equality, a view equality. If I 1182 01:07:51,040 --> 01:07:53,640 Speaker 1: see a couple sitting on the same side of a table, 1183 01:07:54,080 --> 01:07:58,080 Speaker 1: I know they fu right for sure. Or it's like 1184 01:07:58,160 --> 01:08:01,120 Speaker 1: the saddest like best friend zone type thing. It's like, no, 1185 01:08:01,240 --> 01:08:03,080 Speaker 1: it'll be easier for me to for us to share 1186 01:08:03,160 --> 01:08:08,280 Speaker 1: this food. Yeah, No. One more tweet I like. UH 1187 01:08:08,480 --> 01:08:12,640 Speaker 1: is from Chelsea Peretti, who quote tweeted uh. An ap 1188 01:08:12,840 --> 01:08:17,240 Speaker 1: science tweet at Associated Press, not the class about the 1189 01:08:17,479 --> 01:08:20,720 Speaker 1: Mars Rover because you know they've they've lost contact, but 1190 01:08:20,760 --> 01:08:24,120 Speaker 1: says NASA is giving silent Mars Rover one last opportunity 1191 01:08:24,360 --> 01:08:28,240 Speaker 1: to respond before declaring it dead after fifteen years. And 1192 01:08:28,320 --> 01:08:32,439 Speaker 1: then she puts, why does this feel so sad and romantic? Really? 1193 01:08:32,720 --> 01:08:38,200 Speaker 1: Is one last opportunity to respond before one last chance? 1194 01:08:39,439 --> 01:08:45,680 Speaker 1: Well written? Better headline writing than from the insider the inside? Yeah, 1195 01:08:45,720 --> 01:08:49,160 Speaker 1: that sounding Nicholas Bark story. I know a couple of 1196 01:08:49,160 --> 01:08:52,439 Speaker 1: tweets I've been enjoying. Eileen Cutright tweeted on TV No 1197 01:08:52,600 --> 01:08:55,000 Speaker 1: men can tie a necktie, but all women can, and 1198 01:08:55,080 --> 01:08:59,080 Speaker 1: there's no backstory to explain it. Uh. Sean O'Neill tweeted, 1199 01:08:59,160 --> 01:09:01,720 Speaker 1: I wake up in a world where the Beatles never existed. Me. 1200 01:09:02,320 --> 01:09:04,840 Speaker 1: Check out this song I just wrote. I begin playing 1201 01:09:04,920 --> 01:09:08,599 Speaker 1: oh blah D without having first build up years of goodwill, 1202 01:09:08,960 --> 01:09:14,080 Speaker 1: proud of people. Wow, this sucks as uh. And you 1203 01:09:14,160 --> 01:09:16,400 Speaker 1: can follow me on Twitter at Jack Undersquirrel Brian. You 1204 01:09:16,479 --> 01:09:18,880 Speaker 1: can find us on Twitter at Daily's like Guys Were 1205 01:09:18,920 --> 01:09:20,880 Speaker 1: at the Dailies, like guys on Instagram. We have a 1206 01:09:20,880 --> 01:09:24,000 Speaker 1: Facebook fan page and a website Dailys like guys dot com, 1207 01:09:24,080 --> 01:09:27,080 Speaker 1: where we post our episodes and our footnote where we 1208 01:09:27,160 --> 01:09:28,720 Speaker 1: link off to the information that we talked about in 1209 01:09:28,720 --> 01:09:32,120 Speaker 1: today's episode, as well as the song we ride out on. 1210 01:09:32,800 --> 01:09:35,880 Speaker 1: What's that gonna be today? Um, let's do a song 1211 01:09:36,120 --> 01:09:40,960 Speaker 1: from the new James Blake album uh uh, Not the 1212 01:09:41,040 --> 01:09:43,240 Speaker 1: Andre three thousand one that everyone's going wild over, but 1213 01:09:43,280 --> 01:09:47,120 Speaker 1: another one uh with Travis featuring Travis Scott and metro 1214 01:09:47,240 --> 01:09:50,280 Speaker 1: Booman called mile High. Uh. And it just shows you 1215 01:09:50,400 --> 01:09:53,559 Speaker 1: what James Blake when he's producing Travis Scott's sing rapping, 1216 01:09:54,040 --> 01:09:56,920 Speaker 1: how good the melodic lines could be. So this is 1217 01:09:57,000 --> 01:10:00,479 Speaker 1: Mile High featuring Travis Scotti, metro Booman, Bid James White, 1218 01:10:00,479 --> 01:10:03,479 Speaker 1: and you're saying James Blake is dating Jamala Jamal Jamal 1219 01:10:03,920 --> 01:10:06,559 Speaker 1: about power. I want to hang out with that power 1220 01:10:06,600 --> 01:10:08,479 Speaker 1: coupling that I want them to be friends with me. 1221 01:10:08,720 --> 01:10:11,839 Speaker 1: Oh yeah, he's like James play the player that appeared 1222 01:10:12,439 --> 01:10:15,080 Speaker 1: Jamilla just give me your cakes on still got my 1223 01:10:15,200 --> 01:10:20,479 Speaker 1: favorite drakeson his remix of Coming Through. All right, we're 1224 01:10:20,520 --> 01:10:22,759 Speaker 1: gonna ride out on that. We will be back tomorrow 1225 01:10:22,800 --> 01:10:25,400 Speaker 1: because it is a daily podcast. We'll talk to them. 1226 01:10:27,720 --> 01:10:32,040 Speaker 1: We own a drug Luden to see rock Coden bo 1227 01:10:32,160 --> 01:10:36,880 Speaker 1: goes flid losing Big rocks round u ten Fleetwood down 1228 01:10:37,120 --> 01:10:41,920 Speaker 1: to send to see Rock Coden. Don't leave around the sands, 1229 01:10:42,320 --> 01:10:47,680 Speaker 1: don't be around friends, we'd just be My comment, I'm 1230 01:10:47,760 --> 01:10:51,479 Speaker 1: on a thousand miles running. They didn't go downtown, sending 1231 01:10:51,680 --> 01:11:00,320 Speaker 1: the movement up town by zero