1 00:00:00,160 --> 00:00:03,480 Speaker 1: Hello the Internet, and welcome to this episode of The 2 00:00:03,560 --> 00:00:07,840 Speaker 1: Weekly Zeitgeist. Uh. These are some of our favorite segments 3 00:00:08,119 --> 00:00:14,880 Speaker 1: from this week, all edited together into one NonStop infotainment 4 00:00:16,040 --> 00:00:22,440 Speaker 1: last stravaganza. Uh. Yeah, So, without further ado, here is 5 00:00:22,680 --> 00:00:27,040 Speaker 1: the Weekly Zeitgeist. What is something you think is underrated? 6 00:00:27,320 --> 00:00:30,680 Speaker 1: Something I've really gotten into recently is reading the print newspaper, 7 00:00:31,480 --> 00:00:33,760 Speaker 1: just as we like are all like consuming more news 8 00:00:33,840 --> 00:00:37,920 Speaker 1: than ever like online. I like how it organizes information 9 00:00:38,200 --> 00:00:40,800 Speaker 1: in a way that's a little like easier to know 10 00:00:40,840 --> 00:00:43,479 Speaker 1: what's important and what's not. On the Internet, sometimes everything 11 00:00:43,520 --> 00:00:47,320 Speaker 1: feels like an equally sized piece of information. But in 12 00:00:47,400 --> 00:00:49,760 Speaker 1: the newspaper, it's like here's the front page, like here's 13 00:00:49,800 --> 00:00:52,319 Speaker 1: the stupid ship. You don't have to worry about. Uh. 14 00:00:52,360 --> 00:00:54,440 Speaker 1: And you also have the feeling of being done at 15 00:00:54,480 --> 00:00:56,960 Speaker 1: some point, which is so much better than the Internet, 16 00:00:57,000 --> 00:00:59,639 Speaker 1: where it's like, oh, you've read everything in the newspaper, 17 00:00:59,680 --> 00:01:02,000 Speaker 1: you can throw it away. Now. Imagine scrolling to the 18 00:01:02,040 --> 00:01:04,520 Speaker 1: bottom of Twitter one day and you're like, wait, no, 19 00:01:06,760 --> 00:01:13,720 Speaker 1: I've read everything. Does the world? What what print publications 20 00:01:13,760 --> 00:01:17,399 Speaker 1: are you subscribing to? I read the l A Times. Uh, 21 00:01:17,800 --> 00:01:21,399 Speaker 1: never heard of it? Uh? And I get it. Um 22 00:01:21,440 --> 00:01:23,920 Speaker 1: this I really love because you know, I'm worried about 23 00:01:23,920 --> 00:01:25,880 Speaker 1: it like piling up in my house and like tipping 24 00:01:25,880 --> 00:01:30,399 Speaker 1: over onto me and uh and so I get well, 25 00:01:30,440 --> 00:01:31,920 Speaker 1: I mean like you would if you get it at 26 00:01:31,959 --> 00:01:33,840 Speaker 1: your house, it's gonna just pile up. And that's how 27 00:01:33,880 --> 00:01:37,759 Speaker 1: the New Yorker is to something. Yeah. So I get 28 00:01:37,760 --> 00:01:41,160 Speaker 1: it delivered to like the cafe near my house, so 29 00:01:41,200 --> 00:01:43,760 Speaker 1: I can like go get it there and like read 30 00:01:43,800 --> 00:01:45,679 Speaker 1: it there. I feel like it's a New York I'm 31 00:01:45,720 --> 00:01:49,200 Speaker 1: like trying to get the like bodega lifestyle, like living 32 00:01:49,200 --> 00:01:50,720 Speaker 1: in New York. I didn't even know that was an 33 00:01:50,720 --> 00:01:53,160 Speaker 1: option you. I just asked. I was like, is this okay? 34 00:01:53,160 --> 00:01:57,640 Speaker 1: And they're like yeah. I guess they probably thought I 35 00:01:57,680 --> 00:02:01,320 Speaker 1: was setting up some weird alibi. Right, I live here, 36 00:02:01,360 --> 00:02:03,760 Speaker 1: This is where my newspaper. Can you hold this newspaper 37 00:02:03,800 --> 00:02:05,680 Speaker 1: but you take a photo right now? And also can 38 00:02:05,760 --> 00:02:09,120 Speaker 1: we point to the clock what time it is? Okay? Cool? Thanks, 39 00:02:09,320 --> 00:02:12,360 Speaker 1: I'd probably never be back out. You can keep all 40 00:02:12,400 --> 00:02:16,800 Speaker 1: the newspapers. Uh yeah, no, I I totally feel you 41 00:02:16,880 --> 00:02:20,080 Speaker 1: on like the having the information organized for you. I 42 00:02:20,120 --> 00:02:23,799 Speaker 1: subscribe to the Sunday New York Times and just having 43 00:02:23,880 --> 00:02:27,520 Speaker 1: a front page to like read all those stories and 44 00:02:27,600 --> 00:02:31,040 Speaker 1: feel like, Okay, those were the most important stories of 45 00:02:31,120 --> 00:02:34,240 Speaker 1: that week according to like people who are paying attention 46 00:02:34,240 --> 00:02:36,680 Speaker 1: to the news. Is kind of a good good tool. 47 00:02:36,840 --> 00:02:39,760 Speaker 1: And you get Tea Magazine. I go right to Tea Magazine. 48 00:02:39,800 --> 00:02:43,920 Speaker 1: I love that it weighs fifty paths. I don't know 49 00:02:43,960 --> 00:02:46,840 Speaker 1: if there's anything that's not an ad in it. No, yeah, 50 00:02:46,880 --> 00:02:49,959 Speaker 1: why what is Tea Magazine? I've only seen the cover 51 00:02:50,080 --> 00:02:55,000 Speaker 1: of it, and just the binding is like like three dimensional. 52 00:02:55,040 --> 00:02:57,880 Speaker 1: It's so thick. Yeah, like when you pick up the 53 00:02:57,919 --> 00:03:01,360 Speaker 1: Sunday Times and it's so heavy. That's all magazine. Yeah, 54 00:03:01,600 --> 00:03:06,080 Speaker 1: mostly team magazine. What's something people think is true you 55 00:03:06,120 --> 00:03:08,440 Speaker 1: know to be false? I do a show about a 56 00:03:08,840 --> 00:03:10,920 Speaker 1: l A a podcast about like l A news and 57 00:03:10,919 --> 00:03:13,000 Speaker 1: stuff called l A Podcast, and we talk a lot 58 00:03:13,160 --> 00:03:17,640 Speaker 1: about housing and homelessness, uh, stuff that is like a 59 00:03:17,680 --> 00:03:19,399 Speaker 1: huge deal in l A and in pretty much every 60 00:03:19,440 --> 00:03:23,040 Speaker 1: major city now. And there's so many myths around that, uh. 61 00:03:23,080 --> 00:03:24,960 Speaker 1: And the one that I think probably comes up the 62 00:03:24,960 --> 00:03:29,560 Speaker 1: most is that it's really expensive to house homeless. But 63 00:03:29,760 --> 00:03:32,959 Speaker 1: the alternative, like, but the thing that's keeping the homeless 64 00:03:32,960 --> 00:03:37,040 Speaker 1: people from being housed is cost when really what's super 65 00:03:37,120 --> 00:03:39,800 Speaker 1: expensive is what we do now, which is let people 66 00:03:40,000 --> 00:03:42,000 Speaker 1: live on the streets so they go to the emergency 67 00:03:42,080 --> 00:03:44,600 Speaker 1: room every day, they go in and out of jail. 68 00:03:44,840 --> 00:03:48,600 Speaker 1: That ship is really really expensive. It is cheaper, uh, 69 00:03:48,680 --> 00:03:52,560 Speaker 1: to just provide homes for people. Yeah, and we have 70 00:03:52,840 --> 00:03:55,920 Speaker 1: a lot of money available to actually tackle this problem 71 00:03:55,920 --> 00:03:58,119 Speaker 1: that we're kind of running into a lot of neighborhoods 72 00:03:58,120 --> 00:04:01,480 Speaker 1: where people are haven't quite realized that this is actually 73 00:04:01,480 --> 00:04:04,440 Speaker 1: a good solution to homelessness, and they just see people like, 74 00:04:04,800 --> 00:04:06,760 Speaker 1: you know, they've been town hall meetings where people are 75 00:04:06,800 --> 00:04:09,560 Speaker 1: screaming down homeless people who have gotten back on their 76 00:04:09,560 --> 00:04:12,560 Speaker 1: feet from like, uh, support housing, and people like we 77 00:04:12,600 --> 00:04:15,160 Speaker 1: don't care about your story or whatever, and they think 78 00:04:15,480 --> 00:04:17,159 Speaker 1: there's like a whole there's like a whole pushback in 79 00:04:17,160 --> 00:04:19,200 Speaker 1: the city to where we have the money to do this. 80 00:04:19,320 --> 00:04:21,920 Speaker 1: Actually it's been it's all there. We just have to 81 00:04:21,960 --> 00:04:23,680 Speaker 1: find the places to do it. And yeah, it's true, 82 00:04:23,720 --> 00:04:26,440 Speaker 1: like there's no harder place to try and recover whether 83 00:04:26,480 --> 00:04:28,480 Speaker 1: you have mental illness or something else going on than 84 00:04:28,560 --> 00:04:30,640 Speaker 1: doing that on the street, you know what I mean. 85 00:04:30,680 --> 00:04:33,279 Speaker 1: And it's it's such a simple thing but we're still 86 00:04:33,320 --> 00:04:36,479 Speaker 1: trying to you know, overcome the optics. I think of 87 00:04:36,560 --> 00:04:40,320 Speaker 1: people just the idea of their being support housing near them, thinks, oh, 88 00:04:40,320 --> 00:04:43,120 Speaker 1: it's going to breed crime or whatever, when the alternative 89 00:04:43,200 --> 00:04:45,799 Speaker 1: is people living near you on the street. Like you're saying, 90 00:04:45,839 --> 00:04:47,640 Speaker 1: but you don't, I would think, yeah, that you would 91 00:04:47,640 --> 00:04:51,000 Speaker 1: like people moving inside instead of sleeping on the sidewalk. 92 00:04:51,080 --> 00:04:53,279 Speaker 1: But yeah, like exactly like you're saying, the money is 93 00:04:53,320 --> 00:04:57,840 Speaker 1: so much easier to get than it is to spend. Yeah, yeah, Well, 94 00:04:57,880 --> 00:05:00,000 Speaker 1: and and recently in the city there's a new program 95 00:05:00,000 --> 00:05:02,560 Speaker 1: them that the mayors will you know, saying, hey, turn 96 00:05:02,640 --> 00:05:05,360 Speaker 1: all your rental rentable units in the back of your house, 97 00:05:05,600 --> 00:05:08,960 Speaker 1: your garage or in lawsuit or whatever. Well we can 98 00:05:09,000 --> 00:05:11,520 Speaker 1: subsidize these people living there to help get back on 99 00:05:11,520 --> 00:05:13,560 Speaker 1: their feet there. Then you know, there there there are 100 00:05:13,680 --> 00:05:16,400 Speaker 1: solutions that we're trying to pursue. But yeah, there's Ah, 101 00:05:16,800 --> 00:05:19,880 Speaker 1: it's definitely like you say, there's this idea, this preconceived 102 00:05:19,880 --> 00:05:23,440 Speaker 1: notion about what it means to help rehabilitate homeless people 103 00:05:23,520 --> 00:05:26,599 Speaker 1: or get them the support they need. Uh that people 104 00:05:26,640 --> 00:05:29,680 Speaker 1: have all wrong, But yeah, removing step by steps, but 105 00:05:29,920 --> 00:05:32,120 Speaker 1: we gotta take bear steps. Yeah, I live by u 106 00:05:32,120 --> 00:05:34,760 Speaker 1: c l A. And they have this huge like veterans 107 00:05:34,920 --> 00:05:38,279 Speaker 1: campus just like it's like right in the middle of 108 00:05:38,320 --> 00:05:41,760 Speaker 1: the city. It's a huge campus that's just like old, 109 00:05:41,960 --> 00:05:47,320 Speaker 1: rotting buildings that haven't been used for decades. They say 110 00:05:47,320 --> 00:05:49,880 Speaker 1: they can't really put housing on there. They're finally starting to. 111 00:05:50,600 --> 00:05:53,400 Speaker 1: Instead they like let the Brentwood School, the private school, 112 00:05:53,440 --> 00:05:56,599 Speaker 1: like play tennis there and stuff like that. Right. Yeah. 113 00:05:57,720 --> 00:06:02,000 Speaker 1: The mail bombs suspect was taken into custody on Friday 114 00:06:02,080 --> 00:06:08,360 Speaker 1: morning in Florida, Surprise, surprise, very quickly. Caesar sayok or 115 00:06:08,640 --> 00:06:14,760 Speaker 1: Caesar Sayok, as the FBI dude called him, Chris Chris 116 00:06:14,839 --> 00:06:19,640 Speaker 1: Ray handled that pronunciation, Caesar say ok. So he seems 117 00:06:19,680 --> 00:06:24,120 Speaker 1: to be basically a cartoon of what you would expect 118 00:06:24,240 --> 00:06:28,880 Speaker 1: based on the targets. Oh yeah, and clearly, like the 119 00:06:28,960 --> 00:06:31,039 Speaker 1: first we found out, oh they have someone in custody, 120 00:06:31,080 --> 00:06:32,960 Speaker 1: and then the images started coming out of like this 121 00:06:33,120 --> 00:06:35,240 Speaker 1: van that he was driving around in, and you're like, 122 00:06:36,400 --> 00:06:40,360 Speaker 1: what is going on because everything is basically a Trump 123 00:06:40,480 --> 00:06:46,960 Speaker 1: meme or some kind of like far right propaganda thing. Yeah. Also, 124 00:06:47,240 --> 00:06:50,840 Speaker 1: my favorite sticker of all was youth soccer Prospects for 125 00:06:50,880 --> 00:06:54,719 Speaker 1: Trump is my favorite construction of Trump supporter is some 126 00:06:54,839 --> 00:06:58,640 Speaker 1: obscure group for Trump, right, like Christian Dad's who vape 127 00:06:58,680 --> 00:07:01,880 Speaker 1: for Trump or something like that. But the all the 128 00:07:02,240 --> 00:07:04,600 Speaker 1: like all of the images, when you look, you're like, oh, 129 00:07:04,760 --> 00:07:08,240 Speaker 1: of course before we saw a very common thread with 130 00:07:08,279 --> 00:07:10,440 Speaker 1: all of the targets of people who received the bombs. 131 00:07:10,640 --> 00:07:12,320 Speaker 1: And then when you look, you're like, oh, you have 132 00:07:12,360 --> 00:07:14,720 Speaker 1: a literally you have a sticker with Hillary Clinton in 133 00:07:14,960 --> 00:07:18,840 Speaker 1: actual cross hairs on your van or Obama or CNN. 134 00:07:18,920 --> 00:07:22,600 Speaker 1: It was Van Jones, but it was just like I 135 00:07:22,640 --> 00:07:25,840 Speaker 1: couldn't believe what I was saying, Yeah, and it's a van. 136 00:07:26,640 --> 00:07:29,360 Speaker 1: And he also ended up having like Facebook accounts. Now 137 00:07:29,400 --> 00:07:31,600 Speaker 1: they don't know if these are his, but these Facebook 138 00:07:31,640 --> 00:07:34,160 Speaker 1: accounts he was the only follower of, and like there 139 00:07:34,200 --> 00:07:35,960 Speaker 1: was a lot of overlap where one page was literally 140 00:07:35,960 --> 00:07:38,400 Speaker 1: just called the first name was killed George and the 141 00:07:38,440 --> 00:07:40,880 Speaker 1: last name was Soros, and other one was like kill 142 00:07:40,960 --> 00:07:43,600 Speaker 1: all and the last name was like socialists. And there's 143 00:07:43,640 --> 00:07:47,640 Speaker 1: a lot of common imagery between those Facebook pages and 144 00:07:47,680 --> 00:07:49,840 Speaker 1: like what is on his Twitter account, which is like 145 00:07:50,000 --> 00:07:54,160 Speaker 1: a very dark account where you could say, oh, this 146 00:07:54,200 --> 00:07:57,640 Speaker 1: person intends to do harm to progressives. Or Democrats or 147 00:07:57,680 --> 00:08:01,480 Speaker 1: whoever is against Trump right out. The fact that he 148 00:08:01,760 --> 00:08:06,080 Speaker 1: is a cartoon of what you would expect has caused 149 00:08:06,240 --> 00:08:10,320 Speaker 1: a lot of people on the right to immediately claim, well, 150 00:08:10,320 --> 00:08:12,640 Speaker 1: they were claiming this before we even saw this, dude, 151 00:08:12,760 --> 00:08:17,840 Speaker 1: but they've been claiming false flag from Jump Street basically, um, 152 00:08:18,080 --> 00:08:21,080 Speaker 1: And now that there's it appears to be a mentally 153 00:08:21,120 --> 00:08:26,880 Speaker 1: ill person who is basically, yeah, a cartoon caricature of 154 00:08:26,920 --> 00:08:30,360 Speaker 1: a Trump supporter, they're even more like, Okay, this is 155 00:08:30,440 --> 00:08:34,400 Speaker 1: just too obvious. Uh oh, oldest trick in the book. 156 00:08:34,400 --> 00:08:37,400 Speaker 1: Blame it on the crazy guy. Guys, Come on, that's 157 00:08:37,440 --> 00:08:41,600 Speaker 1: all over. Are the Donald the are the Donald? Actually 158 00:08:41,640 --> 00:08:46,640 Speaker 1: got into um the idea that this guy was from Broward, 159 00:08:46,720 --> 00:08:49,200 Speaker 1: which is also where the Parkland shooter is from. And 160 00:08:49,240 --> 00:08:52,440 Speaker 1: as we all know, the Parkland shooter is clearly a 161 00:08:52,520 --> 00:08:58,160 Speaker 1: Democratic operative who was just trying to help gun control. Um. 162 00:08:58,200 --> 00:09:01,839 Speaker 1: But yeah, the thread I was talking about that was saying, 163 00:09:01,920 --> 00:09:05,160 Speaker 1: Comie McCabe struck in page They aren't the only ones, 164 00:09:05,800 --> 00:09:10,480 Speaker 1: because clearly the whole FBI and Department of Justice, full 165 00:09:10,520 --> 00:09:15,720 Speaker 1: of Trump appointees, we're all in on constructing this vast 166 00:09:15,960 --> 00:09:21,120 Speaker 1: conspiracy to bomb Trump's opponents so that people would hate 167 00:09:21,160 --> 00:09:25,720 Speaker 1: Trump their boss. Um. Just the idea that this is 168 00:09:25,760 --> 00:09:31,240 Speaker 1: too obvious is mind boggling, because this guy does not 169 00:09:31,280 --> 00:09:34,520 Speaker 1: appear to be a fan of subtlety, just based on 170 00:09:34,640 --> 00:09:38,920 Speaker 1: his van and well, I mean the evidence is so overwhelming, 171 00:09:39,360 --> 00:09:44,480 Speaker 1: you know, and his motive is literally plastered all over 172 00:09:44,559 --> 00:09:47,400 Speaker 1: the car he's driving. If someone tells you who they are, 173 00:09:48,040 --> 00:09:52,480 Speaker 1: I believe that, yes, absolutely, And that's usually something you 174 00:09:52,559 --> 00:09:56,520 Speaker 1: tell teenagers about like their friends. But this is a no. 175 00:09:56,760 --> 00:09:59,160 Speaker 1: This is they're saying exactly what their intentions are and 176 00:09:59,200 --> 00:10:03,000 Speaker 1: it's happening. Yet we're still surprised. The yeah again, this 177 00:10:03,080 --> 00:10:05,760 Speaker 1: is just like you know, it's it's hard to for them. 178 00:10:05,840 --> 00:10:08,600 Speaker 1: They cannot operate in a world where they've done anything 179 00:10:08,640 --> 00:10:12,000 Speaker 1: wrong or there's any that there's any possibility that the 180 00:10:12,080 --> 00:10:15,400 Speaker 1: rhetoric they use or the policies they pursue could be 181 00:10:16,160 --> 00:10:19,959 Speaker 1: feut as negative. This seems like a new level of 182 00:10:20,240 --> 00:10:24,559 Speaker 1: dangerous to me, that they are physically you know, attacking 183 00:10:24,679 --> 00:10:28,480 Speaker 1: or trying to attack and just not being like bright enough. 184 00:10:28,920 --> 00:10:32,360 Speaker 1: Engineer Doug was saying, like, well, the UNI bomber, they 185 00:10:32,400 --> 00:10:34,920 Speaker 1: never caught him, Like, what was this guy doing? Differently? 186 00:10:34,960 --> 00:10:37,679 Speaker 1: And it's like everything like this guy did not have 187 00:10:37,840 --> 00:10:41,520 Speaker 1: the knowledge of like how to do what he was 188 00:10:41,559 --> 00:10:45,280 Speaker 1: trying to accomplish. Well, the other thing is like, you know, granted, 189 00:10:45,320 --> 00:10:47,840 Speaker 1: we're here saying, wow, well it looks like, you know, 190 00:10:47,920 --> 00:10:49,800 Speaker 1: from when we saw the targets, are like, oh, this 191 00:10:49,840 --> 00:10:52,559 Speaker 1: seems like someone maybe a far right person or someone 192 00:10:52,600 --> 00:10:54,400 Speaker 1: who supports the agenda of the far right. And then 193 00:10:54,559 --> 00:10:57,080 Speaker 1: you see the van and you're like, Okay, I'm not 194 00:10:57,200 --> 00:11:00,800 Speaker 1: here saying that Donald Trump told the person to do it. 195 00:11:00,840 --> 00:11:02,880 Speaker 1: I can very much see a world where this person 196 00:11:02,960 --> 00:11:07,160 Speaker 1: is mentally ill, he happens to gravitate towards this media diet, 197 00:11:07,480 --> 00:11:10,640 Speaker 1: and that has like spurred this on people on their right, 198 00:11:10,679 --> 00:11:12,800 Speaker 1: or at least the people who are trying to defend 199 00:11:12,840 --> 00:11:15,040 Speaker 1: this are they can't even go as far as to 200 00:11:15,080 --> 00:11:18,200 Speaker 1: say just on the on the evidence alone, to say 201 00:11:18,360 --> 00:11:21,840 Speaker 1: it looks like this person may have been a follower 202 00:11:21,920 --> 00:11:25,360 Speaker 1: of the right wing media. At the very least, you 203 00:11:25,400 --> 00:11:27,760 Speaker 1: don't have to you don't have to say by admitting 204 00:11:27,760 --> 00:11:30,800 Speaker 1: that doesn't mean you're saying, oh, Republicans are responsible for this. 205 00:11:30,920 --> 00:11:33,280 Speaker 1: Although let's be real, when you look at all the 206 00:11:33,320 --> 00:11:36,319 Speaker 1: ship that Trump says and that people on Fox News say, 207 00:11:36,400 --> 00:11:39,360 Speaker 1: this seems like you're clearly those voices in your head 208 00:11:39,360 --> 00:11:41,079 Speaker 1: are coming from somewhere. Yeah, because there are pictures of 209 00:11:41,160 --> 00:11:42,920 Speaker 1: him at rallies, which we can assume is where the 210 00:11:43,000 --> 00:11:45,520 Speaker 1: indoctrination started. Yeah. Well, I think it's also a further 211 00:11:45,600 --> 00:11:49,400 Speaker 1: indictment of him being one of them is that they 212 00:11:49,640 --> 00:11:52,000 Speaker 1: see him and they're like, well, it must be a 213 00:11:52,000 --> 00:11:55,280 Speaker 1: false flag because he is one of them. They don't 214 00:11:55,320 --> 00:11:58,360 Speaker 1: want to be blamed for this, because you know, he's 215 00:11:58,400 --> 00:12:01,560 Speaker 1: a guy who is like Ben Shapiro and like the 216 00:12:01,800 --> 00:12:07,440 Speaker 1: people who are you know, far right Mega Chud's, you know, 217 00:12:07,840 --> 00:12:10,760 Speaker 1: and it's well right, and Ben Shapiro, he was out 218 00:12:10,800 --> 00:12:13,760 Speaker 1: here being like, oh wow, blame blame the right again 219 00:12:13,800 --> 00:12:17,160 Speaker 1: when he's someone himself and has like embroiled in a 220 00:12:17,240 --> 00:12:21,280 Speaker 1: controversy where his rhetoric clearly what was being consumed or 221 00:12:21,480 --> 00:12:24,000 Speaker 1: his podcasts or ideas are being consumed by a guy 222 00:12:24,000 --> 00:12:28,280 Speaker 1: who shot up a mosque. So Russia. Limbaugh is pointing 223 00:12:28,280 --> 00:12:31,600 Speaker 1: to the fact that the stickers are placed too evenly 224 00:12:31,880 --> 00:12:36,040 Speaker 1: on this person's van and not sun faded, to prove 225 00:12:36,080 --> 00:12:39,800 Speaker 1: that it's a set up and Russia. Limbaugh is like 226 00:12:40,120 --> 00:12:46,160 Speaker 1: a mainstream right wing media personality like he is feeding 227 00:12:46,200 --> 00:12:50,760 Speaker 1: them their thoughts. He's a thought leader in their world. 228 00:12:51,240 --> 00:12:54,200 Speaker 1: And yeah, I just don't. I I think this is 229 00:12:55,559 --> 00:12:59,480 Speaker 1: extremely extremely dangerous. But yeah, because they're being fed that 230 00:12:59,520 --> 00:13:01,560 Speaker 1: there aren't going to be any consequences and we're going 231 00:13:01,600 --> 00:13:04,160 Speaker 1: to do backflips to get you out of it if 232 00:13:04,160 --> 00:13:07,880 Speaker 1: you do. Because we've seen it both with like the 233 00:13:07,920 --> 00:13:10,319 Speaker 1: Proud Boys, when the assault someone, we've seen it now. 234 00:13:10,840 --> 00:13:14,040 Speaker 1: We just we keep seeing someone just barely slipped through 235 00:13:14,040 --> 00:13:16,480 Speaker 1: because they don't want to even be associated with them, 236 00:13:16,520 --> 00:13:19,520 Speaker 1: so they'll do the gymnastics it takes to excuse it, 237 00:13:19,960 --> 00:13:22,400 Speaker 1: and it's making it so much easier for them to 238 00:13:22,400 --> 00:13:25,080 Speaker 1: step further and further across the line and cause harm. Yeah, 239 00:13:25,080 --> 00:13:27,679 Speaker 1: because the further we get away from at the very 240 00:13:27,760 --> 00:13:30,480 Speaker 1: least being objective enough to say, at the very least 241 00:13:30,520 --> 00:13:33,760 Speaker 1: they could say, you know what, clearly this is a 242 00:13:33,800 --> 00:13:37,160 Speaker 1: sign that the the this like left right polarization is 243 00:13:37,240 --> 00:13:40,040 Speaker 1: leading to this kind of thing would be like the 244 00:13:40,120 --> 00:13:43,199 Speaker 1: minimum you could say to be a humane person. And 245 00:13:43,240 --> 00:13:46,440 Speaker 1: we were living in a country right now where there 246 00:13:46,440 --> 00:13:50,440 Speaker 1: are race like this racist and violent rhetoric is translating 247 00:13:50,480 --> 00:13:54,200 Speaker 1: into real world violence whether it's Heather Higher being run 248 00:13:54,240 --> 00:13:57,080 Speaker 1: over by a car, whether it's mail bombs being sent, 249 00:13:57,400 --> 00:14:00,520 Speaker 1: or white supremacists in Kentucky pulling up into a Kroger 250 00:14:00,800 --> 00:14:04,080 Speaker 1: and just shooting black people at random while telling like 251 00:14:04,120 --> 00:14:06,480 Speaker 1: another white person outside, oh don't or don't shoot me, 252 00:14:06,480 --> 00:14:09,440 Speaker 1: I won't shoot because whites don't kill whites. We're seeing 253 00:14:09,920 --> 00:14:15,280 Speaker 1: they are really yesterday, yeah, there are real or last week, Yeah, 254 00:14:14,400 --> 00:14:19,520 Speaker 1: there are real stakes for people of color and people 255 00:14:19,560 --> 00:14:23,160 Speaker 1: on the left clearly from there, you know, the rhetoric 256 00:14:23,240 --> 00:14:25,800 Speaker 1: on the left is about moral outrage because we aren't 257 00:14:25,840 --> 00:14:29,800 Speaker 1: doing what's right by human beings versus like trying to 258 00:14:29,920 --> 00:14:32,920 Speaker 1: dehumanize people on the right and saying, oh, they're all 259 00:14:32,960 --> 00:14:35,440 Speaker 1: like animals that are going to kill you or whatever. 260 00:14:35,520 --> 00:14:38,320 Speaker 1: But what we're seeing right now is there's tremendous follow 261 00:14:38,360 --> 00:14:40,960 Speaker 1: through with people on the far right in terms of 262 00:14:41,000 --> 00:14:42,960 Speaker 1: acting out this kind of violence, and like you say, 263 00:14:43,040 --> 00:14:45,440 Speaker 1: when people show themselves to be who they are, we 264 00:14:45,440 --> 00:14:47,880 Speaker 1: should believe them. Much like a woman in New Jersey 265 00:14:47,960 --> 00:14:50,720 Speaker 1: who were like received a bunch of face threatening Facebook 266 00:14:50,720 --> 00:14:53,520 Speaker 1: messages from a man in Kentucky who was coming after 267 00:14:53,560 --> 00:14:56,160 Speaker 1: her children who were half black and saying like oh, 268 00:14:56,200 --> 00:14:58,560 Speaker 1: they should be hung like I'll kill these kids, blah 269 00:14:58,600 --> 00:15:00,680 Speaker 1: blah blah. These you know and words deserve to die. 270 00:15:01,080 --> 00:15:03,240 Speaker 1: So she called the police in Kentucky, was like, I 271 00:15:03,280 --> 00:15:04,960 Speaker 1: don't know why this guy came at me, blah blah blah. 272 00:15:05,000 --> 00:15:07,120 Speaker 1: They sent a straight state trooper to his house. He 273 00:15:07,240 --> 00:15:08,640 Speaker 1: had a bunch of guns in his car and he 274 00:15:08,680 --> 00:15:11,960 Speaker 1: was pulling out with plans to go shoot up some schools. Yeah, 275 00:15:12,200 --> 00:15:14,400 Speaker 1: And like it also ties into when people are like, oh, 276 00:15:14,440 --> 00:15:16,280 Speaker 1: the Internet isn't real. What people say on the Internet 277 00:15:16,360 --> 00:15:18,240 Speaker 1: isn't real. It's just a troll. It's just a troll. 278 00:15:18,320 --> 00:15:20,520 Speaker 1: It's like, how much can you say that before it 279 00:15:20,600 --> 00:15:25,200 Speaker 1: actually starts becoming actual consequences. Clearly not even in this level. Yeah, 280 00:15:25,200 --> 00:15:28,360 Speaker 1: because this man is out here making threats constantly on Twitter, 281 00:15:28,360 --> 00:15:31,560 Speaker 1: saying and even on Facebook. I don't know, I don't 282 00:15:31,560 --> 00:15:33,720 Speaker 1: know that's where. And that's why it gets dangerous because 283 00:15:33,760 --> 00:15:36,600 Speaker 1: now they'll never be able to look at what they're 284 00:15:36,640 --> 00:15:39,120 Speaker 1: doing and just say, no, this, this has nothing to 285 00:15:39,120 --> 00:15:40,880 Speaker 1: do with us. We have we have no hand in this, 286 00:15:41,040 --> 00:15:42,720 Speaker 1: and I don't know what's going on with these people, 287 00:15:42,760 --> 00:15:45,640 Speaker 1: because nothing we say would remotely resemble something that would 288 00:15:45,680 --> 00:15:48,040 Speaker 1: motivate something. Yeah, like I wish the worst thing that 289 00:15:48,120 --> 00:15:50,640 Speaker 1: I could possibly be afraid of is someone yelling at 290 00:15:50,680 --> 00:15:54,600 Speaker 1: me while I'm eating, Like that's a breezy ass consequence 291 00:15:54,640 --> 00:15:58,160 Speaker 1: to bed take my ship to go. Yeah, that's I 292 00:15:58,200 --> 00:16:00,480 Speaker 1: would much rather deal with that than wondering is this 293 00:16:00,600 --> 00:16:03,320 Speaker 1: dude with a Pigioto haircut gonna mark me today? Like that, 294 00:16:03,600 --> 00:16:05,480 Speaker 1: I wouldn't much rather be yelled at it. Get your 295 00:16:05,480 --> 00:16:09,200 Speaker 1: throat slit at the bart station exactly. But I mean 296 00:16:09,240 --> 00:16:11,400 Speaker 1: this double standard has been going on for a long 297 00:16:11,480 --> 00:16:15,640 Speaker 1: time that the media and just the mainstream is much 298 00:16:15,680 --> 00:16:20,160 Speaker 1: more forgiving towards people who have right wing views who 299 00:16:20,200 --> 00:16:23,280 Speaker 1: are racist acting out of racism, like Timothy McVeigh and 300 00:16:23,280 --> 00:16:27,720 Speaker 1: the Oklahoma City bombing. Compare that to September eleven, Like, 301 00:16:27,760 --> 00:16:30,960 Speaker 1: those are both heinous acts of terrorism, but we did not, 302 00:16:31,280 --> 00:16:34,880 Speaker 1: like launch a bunch of wars to fight white supremacist 303 00:16:35,200 --> 00:16:39,280 Speaker 1: nationalist militias following the Oklahoma City bombing. And yeah, I 304 00:16:39,320 --> 00:16:43,120 Speaker 1: mean it's also a for I think a lot of 305 00:16:43,400 --> 00:16:47,160 Speaker 1: liberal people are probably like liberal white people are now 306 00:16:47,280 --> 00:16:51,480 Speaker 1: learning that what it's like to have this double standard 307 00:16:51,560 --> 00:16:54,200 Speaker 1: of like you yell at someone, They're like whoa, that 308 00:16:54,400 --> 00:16:58,080 Speaker 1: is a dangerous angry person, but they can like shoot 309 00:16:58,120 --> 00:17:01,560 Speaker 1: you and that's considered okay. Like people of color have 310 00:17:01,600 --> 00:17:04,480 Speaker 1: been dealing with that double standard for a long time, 311 00:17:04,560 --> 00:17:07,800 Speaker 1: and people on the right are very practiced at using 312 00:17:07,840 --> 00:17:10,480 Speaker 1: that to their advantage. Yeah, it's a lot of like, well, 313 00:17:10,920 --> 00:17:15,400 Speaker 1: you're getting emotional, so you're clearly unhinged. Right. That's where 314 00:17:15,400 --> 00:17:17,639 Speaker 1: I'm like, I don't know where how this plays out, 315 00:17:17,920 --> 00:17:20,639 Speaker 1: and we we truly do not know what the motive 316 00:17:20,800 --> 00:17:24,400 Speaker 1: was for this person. I mean, granted, we can speculate 317 00:17:24,640 --> 00:17:27,920 Speaker 1: wildly based on what we're looking at, but I think 318 00:17:28,040 --> 00:17:30,879 Speaker 1: in all fairness to be objective, you say, let's just 319 00:17:30,920 --> 00:17:34,480 Speaker 1: say we don't know, right, and then we're at what point, though, 320 00:17:34,720 --> 00:17:37,720 Speaker 1: at what moment will the country arrive at where you 321 00:17:37,760 --> 00:17:40,640 Speaker 1: will actually hear something from people on on the right 322 00:17:40,680 --> 00:17:43,320 Speaker 1: and extreme right begin to own up to the fact 323 00:17:43,359 --> 00:17:47,199 Speaker 1: that maybe something has to change a little bit in 324 00:17:47,280 --> 00:17:50,480 Speaker 1: some way, or are we just find like marching towards no. 325 00:17:50,640 --> 00:17:54,119 Speaker 1: Trump has said that things need to change, CNN needs 326 00:17:54,160 --> 00:17:58,679 Speaker 1: to start being nicer to him. That's how he's taking it. 327 00:17:58,720 --> 00:18:01,120 Speaker 1: I mean, it's I I I honestly don't know. That's 328 00:18:01,119 --> 00:18:03,760 Speaker 1: why I've I've come to a point where I don't 329 00:18:04,280 --> 00:18:09,280 Speaker 1: I can't imagine any scenario where either side just sort 330 00:18:09,320 --> 00:18:11,960 Speaker 1: of capitulates. And I was like, well, it turns out 331 00:18:12,000 --> 00:18:13,920 Speaker 1: we were wrong, Like, I just don't. I don't think 332 00:18:13,920 --> 00:18:16,680 Speaker 1: it's going to happen, and uh, and then then we'll 333 00:18:16,680 --> 00:18:18,960 Speaker 1: reach that breaking point and see what happens. Yeah, because 334 00:18:18,960 --> 00:18:21,320 Speaker 1: like a protest and ship like that, I've resorted to 335 00:18:21,640 --> 00:18:24,080 Speaker 1: the silence of the lambs technique, where like, if I 336 00:18:24,119 --> 00:18:26,240 Speaker 1: say my name and make myself a human as many 337 00:18:26,240 --> 00:18:28,399 Speaker 1: times as I can, will you not harm me? Like, Hi, 338 00:18:28,560 --> 00:18:30,399 Speaker 1: my name is Vanessa, I'm twenty years old, I have 339 00:18:30,400 --> 00:18:32,520 Speaker 1: a mom, Like how many times do I have to 340 00:18:32,560 --> 00:18:36,480 Speaker 1: try and make myself a human to you? But I 341 00:18:36,560 --> 00:18:38,639 Speaker 1: can't do that to all of them in mass But 342 00:18:38,720 --> 00:18:40,920 Speaker 1: it's it's it's I can't do that to every single 343 00:18:40,920 --> 00:18:43,720 Speaker 1: one on a one on one basis. That's impossible. Yeah, 344 00:18:43,720 --> 00:18:45,720 Speaker 1: all right, we're gonna take a quick break and we'll 345 00:18:45,760 --> 00:18:57,919 Speaker 1: be right back, and we are back. On Tuesday, the 346 00:18:57,960 --> 00:19:02,280 Speaker 1: President Donald Trump made his way to Pittsburgh to visit 347 00:19:02,320 --> 00:19:06,359 Speaker 1: the Tree of Life Synagogue where that horrific shooting took place, 348 00:19:06,400 --> 00:19:09,280 Speaker 1: in which eleven people were killed, and you know, initially 349 00:19:09,480 --> 00:19:12,879 Speaker 1: many people, including the mayor of Pittsburgh, were like, do 350 00:19:13,000 --> 00:19:16,560 Speaker 1: not come here right now. At least let's bury our 351 00:19:16,680 --> 00:19:19,000 Speaker 1: dead and mourn before you come in here for some 352 00:19:19,080 --> 00:19:23,879 Speaker 1: kind of circus circus, tree, circuit, try whatever that word circuit, circus, 353 00:19:24,359 --> 00:19:27,880 Speaker 1: thank you, um. And you know, he even brought along 354 00:19:27,960 --> 00:19:32,520 Speaker 1: Javanca and Steve Manuchin to demonstrate how pro semite he is, 355 00:19:33,480 --> 00:19:36,320 Speaker 1: wearing like a stupid sweatshirt that had like a star 356 00:19:36,400 --> 00:19:38,960 Speaker 1: of David with like an ex over Ben. I don't know, 357 00:19:39,840 --> 00:19:44,320 Speaker 1: I got it from Sara. Yeah. Oh, I'm sorry. I 358 00:19:44,320 --> 00:19:47,000 Speaker 1: confuse these people. I mean, it's easy to confuse his 359 00:19:47,000 --> 00:19:51,600 Speaker 1: wife and his daughter. I'm sorry. Yeah, he wished, but 360 00:19:51,960 --> 00:19:54,320 Speaker 1: he pulled up, but I don't think he was expecting. 361 00:19:54,400 --> 00:19:57,720 Speaker 1: The people of Pittsburgh were definitely not pleased, because he 362 00:19:57,840 --> 00:20:00,800 Speaker 1: was met by thousands of protesters who took to the 363 00:20:00,800 --> 00:20:04,680 Speaker 1: streets in and around the synagogue to basically show that 364 00:20:04,720 --> 00:20:08,480 Speaker 1: the community is united against hatred and also showing that 365 00:20:08,640 --> 00:20:13,320 Speaker 1: this is not the time for someone who's crazy conspiracy 366 00:20:13,359 --> 00:20:17,439 Speaker 1: theories and like anti Semitic conspiracy theories have fueled this 367 00:20:17,600 --> 00:20:21,359 Speaker 1: kind of violence in the real world. It wasn't his 368 00:20:21,400 --> 00:20:26,680 Speaker 1: motivation for bringing Javanka that Jared is Jewish and that 369 00:20:26,760 --> 00:20:30,040 Speaker 1: Avanca converted to Judaism when they got married. Yeah, okay, 370 00:20:30,040 --> 00:20:32,320 Speaker 1: that's why I said. Yeah, and Steve Manuchin, so he 371 00:20:32,359 --> 00:20:36,639 Speaker 1: brought every I think the Jewish person whom I have 372 00:20:36,720 --> 00:20:41,000 Speaker 1: Jewish friends. Yeah, exactly, He's like, where's the hat? Sure? 373 00:20:41,160 --> 00:20:44,119 Speaker 1: Ivanka and Jared were the only people who were like 374 00:20:44,160 --> 00:20:47,880 Speaker 1: pushing him to respond to they They were begging him, Yeah, 375 00:20:47,920 --> 00:20:49,560 Speaker 1: because it wasn't like one of his first sort of 376 00:20:49,640 --> 00:20:53,480 Speaker 1: quotes or whatever about his hair and how like some reporter, 377 00:20:53,760 --> 00:20:56,280 Speaker 1: like angry leftist person had like pointed out that his 378 00:20:56,320 --> 00:20:58,360 Speaker 1: hair was blowing in the wind at of press conference, 379 00:20:58,359 --> 00:21:01,080 Speaker 1: and he was like that was what he decided to 380 00:21:01,119 --> 00:21:03,240 Speaker 1: share with everyone. On the day of the shooting, was 381 00:21:03,320 --> 00:21:06,359 Speaker 1: just like him being like, my hair is real. Okay, 382 00:21:06,400 --> 00:21:09,760 Speaker 1: it blew away and that's fake news, but you know, 383 00:21:09,840 --> 00:21:11,960 Speaker 1: and it's crazy. At one point, the amount of people 384 00:21:12,000 --> 00:21:14,119 Speaker 1: were that were in the streets like sort of complicated 385 00:21:14,119 --> 00:21:16,239 Speaker 1: his arrival of his motor kid. So like there was 386 00:21:16,280 --> 00:21:18,720 Speaker 1: a you know, shout out to the people of Pittsburgh 387 00:21:18,800 --> 00:21:21,600 Speaker 1: for coming together and you know, letting this person know 388 00:21:21,720 --> 00:21:24,720 Speaker 1: that this is the most ill timed presidential visit. I mean, 389 00:21:24,720 --> 00:21:26,600 Speaker 1: there was leadership on both sides of the aisle who 390 00:21:26,640 --> 00:21:28,320 Speaker 1: are like, I don't want to go with you. They're like, 391 00:21:28,359 --> 00:21:30,639 Speaker 1: don't I don't want to be a part of this um. 392 00:21:30,640 --> 00:21:32,680 Speaker 1: And they're even I think one of the victims families 393 00:21:32,680 --> 00:21:34,760 Speaker 1: even refused to meet with him because, as they say, 394 00:21:34,800 --> 00:21:39,240 Speaker 1: they're like, you're crazy misrepresentation of this group of migrants 395 00:21:39,240 --> 00:21:42,520 Speaker 1: who are coming north from Central America and using this 396 00:21:42,560 --> 00:21:47,720 Speaker 1: like George Soros conspirator, globalist, globalist uh, anti Jewish dog 397 00:21:47,720 --> 00:21:50,879 Speaker 1: whistle at this point when dog was the fucking airhorn. 398 00:21:51,600 --> 00:21:54,919 Speaker 1: UH fueled the man who eventually went to gab and 399 00:21:55,000 --> 00:21:57,440 Speaker 1: was like, okay that I don't give a funk, I'm 400 00:21:57,480 --> 00:22:00,720 Speaker 1: doing this. And you know, it was a very very 401 00:22:00,800 --> 00:22:02,920 Speaker 1: charged day. You could you could see the emotion in 402 00:22:02,960 --> 00:22:04,680 Speaker 1: the streets as the news covered it, in the amount 403 00:22:04,680 --> 00:22:06,680 Speaker 1: of people that were there. And you wouldn't believe that 404 00:22:06,680 --> 00:22:08,960 Speaker 1: based on the tweet that he put out Wednesday morning, 405 00:22:09,359 --> 00:22:13,560 Speaker 1: because it said, this is just such a ridiculous tweet. 406 00:22:13,600 --> 00:22:16,080 Speaker 1: He said, Millennia and I were treated very nicely yesterday 407 00:22:16,119 --> 00:22:18,640 Speaker 1: in Pittsburgh. The Office of the President was shown great 408 00:22:18,680 --> 00:22:21,200 Speaker 1: respect on a very sad and solemn day. We were 409 00:22:21,200 --> 00:22:24,400 Speaker 1: treated so warmly. Small protest was not seen by us, 410 00:22:24,520 --> 00:22:27,119 Speaker 1: staged far away. The fake news stories were just the 411 00:22:27,119 --> 00:22:30,639 Speaker 1: opposite disgraceful. Let me ask you how many of those 412 00:22:30,680 --> 00:22:37,720 Speaker 1: words were capitalized unnecessarily disgraceful? Was fake news and fake 413 00:22:37,720 --> 00:22:40,400 Speaker 1: news not proper now at this point, I think so 414 00:22:41,080 --> 00:22:43,320 Speaker 1: when you just when you're just talking about journalists who 415 00:22:43,400 --> 00:22:47,680 Speaker 1: talk to people and are broadcasting that. But again, it 416 00:22:47,800 --> 00:22:51,160 Speaker 1: just shows you how he is doing everything he can 417 00:22:51,240 --> 00:22:55,400 Speaker 1: to avoid meaningful discussion around his rhetoric and the environment 418 00:22:55,480 --> 00:22:57,639 Speaker 1: that he's creating. And it's not just him, but he 419 00:22:57,680 --> 00:22:59,879 Speaker 1: has a huge partner it by being the president and 420 00:23:00,240 --> 00:23:02,720 Speaker 1: being the sort of figurehead for a lot of these 421 00:23:03,119 --> 00:23:07,320 Speaker 1: super right wing, deranged people, um, and by having this 422 00:23:07,359 --> 00:23:09,359 Speaker 1: tweet to just sort of paper over the cracks like 423 00:23:09,440 --> 00:23:11,800 Speaker 1: he was like it was wonderful, and the Office of 424 00:23:11,800 --> 00:23:14,640 Speaker 1: the President was like, that's such a fucking weird way 425 00:23:14,680 --> 00:23:19,720 Speaker 1: to the hot with like okay, like because he doesn't 426 00:23:19,760 --> 00:23:22,440 Speaker 1: even really mention the reason that he's there other than 427 00:23:22,480 --> 00:23:24,520 Speaker 1: saying said and sow him. He's just like and no 428 00:23:24,560 --> 00:23:27,040 Speaker 1: one was actually mad at me. I rule, I'm great 429 00:23:27,240 --> 00:23:30,760 Speaker 1: and anyways, the song is about me. It's just like 430 00:23:30,840 --> 00:23:34,480 Speaker 1: so it's it's so like at this point, the fact 431 00:23:34,520 --> 00:23:37,439 Speaker 1: that people in Pittsburgh did not want him there is 432 00:23:37,520 --> 00:23:40,640 Speaker 1: just like a testament to how far everything has come 433 00:23:40,720 --> 00:23:43,760 Speaker 1: with like we don't want the president to know because 434 00:23:43,760 --> 00:23:46,800 Speaker 1: it's so transparent, like he's going to take advantage of 435 00:23:46,840 --> 00:23:49,840 Speaker 1: this tragedy and make it about something that has nothing 436 00:23:49,880 --> 00:23:51,639 Speaker 1: to do with us, nothing to do with our community, 437 00:23:52,119 --> 00:23:55,160 Speaker 1: and uh, it's going to be to push an agenda 438 00:23:55,200 --> 00:23:58,439 Speaker 1: that will ultimately harm us, right exactly. Yeah, it's like 439 00:23:59,040 --> 00:24:01,520 Speaker 1: I'm so sick of him like disavowing accountability for the ship. 440 00:24:01,600 --> 00:24:03,919 Speaker 1: That's like him standing like in front of a burning 441 00:24:03,920 --> 00:24:06,080 Speaker 1: house with a can of gasoline and being like I 442 00:24:06,160 --> 00:24:10,360 Speaker 1: was received very warmly by this house. Yeah, like technically 443 00:24:10,359 --> 00:24:12,560 Speaker 1: it was warm. Fire is warm in this house is 444 00:24:12,600 --> 00:24:15,280 Speaker 1: lit if anything, um, and you know, it just sort 445 00:24:15,280 --> 00:24:19,480 Speaker 1: of all around the bumbling of the administration around this 446 00:24:19,680 --> 00:24:23,600 Speaker 1: event has been like so offensive, like from March parading 447 00:24:23,640 --> 00:24:26,680 Speaker 1: out your Jewish family members to somehow be like, well, 448 00:24:26,680 --> 00:24:29,000 Speaker 1: there's no way I could have said anything because look 449 00:24:29,040 --> 00:24:32,960 Speaker 1: at Jared to my daughter and then Mike Pence was 450 00:24:33,000 --> 00:24:38,280 Speaker 1: at an event where a fake rabbi essentially said a 451 00:24:38,400 --> 00:24:41,560 Speaker 1: prayer for the victims and one of the most offensive 452 00:24:42,160 --> 00:24:44,760 Speaker 1: I don't even know how to describe, Like, how so 453 00:24:45,560 --> 00:24:47,919 Speaker 1: this is bad, Miles, this is all bad. The rabbi 454 00:24:48,280 --> 00:24:51,680 Speaker 1: is of the what they're the Messianic Jews, the Jews 455 00:24:51,720 --> 00:24:54,879 Speaker 1: for Jesus, Messianic Jews juice for Jesus, which are fake Jews, 456 00:24:55,119 --> 00:24:57,800 Speaker 1: are not real Jews. They believe that Jesus is the Savior. 457 00:24:57,920 --> 00:25:00,800 Speaker 1: That yes, she was Jesus exactly, and and that he 458 00:25:01,000 --> 00:25:03,800 Speaker 1: is still coming, you know, or sorry that he came 459 00:25:03,840 --> 00:25:05,760 Speaker 1: and he'll he'll come back, right, isn't that what Christmas 460 00:25:05,800 --> 00:25:07,760 Speaker 1: I believe? Think, Yeah, exactly. And I think that it's 461 00:25:07,760 --> 00:25:10,560 Speaker 1: also like a weird recruiting cool to try and convert 462 00:25:10,680 --> 00:25:15,119 Speaker 1: Jews to Christianity. So it's a very fucking it's very slippery, 463 00:25:15,320 --> 00:25:19,400 Speaker 1: quite literally, the opposite of Judaism even more than Christianity, 464 00:25:19,520 --> 00:25:22,640 Speaker 1: is it is I know, it's somehow, yeah, it's it's 465 00:25:23,000 --> 00:25:27,480 Speaker 1: it's not Christianity, it's not Judaism. It's just it's just bad. Um. Yeah, 466 00:25:27,520 --> 00:25:30,239 Speaker 1: but this is really really offensive. Um. This guy, by 467 00:25:30,280 --> 00:25:33,240 Speaker 1: the way, was not even a Jews for Jesus. Rabbi 468 00:25:33,400 --> 00:25:36,159 Speaker 1: if you want to call them rabbis. He was like 469 00:25:36,359 --> 00:25:42,760 Speaker 1: disbarred from Jews for Jesus. I love the term de 470 00:25:42,960 --> 00:25:49,959 Speaker 1: close investigatives from now on. Yeah, I've been decloaked with 471 00:25:50,040 --> 00:25:56,840 Speaker 1: Jamie Loft. Someone will make that on Twitter. Is a 472 00:25:56,960 --> 00:25:59,439 Speaker 1: gango do your photoshop thing. De cloked with Amy's Like, 473 00:26:02,440 --> 00:26:05,359 Speaker 1: but yeah, this group, because I think he was de 474 00:26:05,520 --> 00:26:08,439 Speaker 1: cloaked for libel, Like he's just this guy is a 475 00:26:08,440 --> 00:26:11,399 Speaker 1: fucking shit. He'll all around. He's too shitty for Jews. 476 00:26:11,400 --> 00:26:14,879 Speaker 1: For Jesus, even they don't want him. It's bananas and 477 00:26:14,920 --> 00:26:18,560 Speaker 1: like just I can't decide whether this is an intentional 478 00:26:18,760 --> 00:26:21,359 Speaker 1: slight to Jews or if this is just just falls 479 00:26:21,400 --> 00:26:25,040 Speaker 1: under the category of like oblivious of like Trump playing 480 00:26:25,600 --> 00:26:27,800 Speaker 1: that for all song happy at his rally the same 481 00:26:27,880 --> 00:26:29,879 Speaker 1: day as the shooting. I don't know how much to 482 00:26:29,920 --> 00:26:34,119 Speaker 1: read into this. It feels offensive. Well, it's just at 483 00:26:34,160 --> 00:26:36,760 Speaker 1: every corner, right, you just showed they know funk all. 484 00:26:36,840 --> 00:26:39,840 Speaker 1: Like a lot of this ship is so unintended half 485 00:26:39,880 --> 00:26:43,719 Speaker 1: the time because they like obviously sometimes their their offensiveness 486 00:26:43,800 --> 00:26:45,879 Speaker 1: is intended, but other times it's born out of the 487 00:26:45,920 --> 00:26:48,520 Speaker 1: idea that they're so ignorant about things, no idea like 488 00:26:48,600 --> 00:26:51,120 Speaker 1: it's it would be hard if you were looking for 489 00:26:51,160 --> 00:26:55,040 Speaker 1: someone who was absolutely the least qualified out of everyone 490 00:26:55,119 --> 00:26:57,359 Speaker 1: to do this specific task, it would be hard to 491 00:26:57,359 --> 00:26:59,840 Speaker 1: find that. It would be a Jews for Jesus Rabbi 492 00:27:00,000 --> 00:27:02,080 Speaker 1: who was kicked out of Jews, like he's just some 493 00:27:02,240 --> 00:27:07,320 Speaker 1: fucking so many steps of removal. So true I was 494 00:27:07,359 --> 00:27:09,159 Speaker 1: when I was reading this article, I came up with 495 00:27:09,200 --> 00:27:13,159 Speaker 1: five Jews more appropriate to host. Are sorry to deliver 496 00:27:13,280 --> 00:27:17,600 Speaker 1: these words of the gig? And uh it was Bernie 497 00:27:17,680 --> 00:27:22,840 Speaker 1: made off Um, the ghost of famous mobster Bugsy Siegel. Uh, 498 00:27:23,080 --> 00:27:27,080 Speaker 1: Kyle from South Park Drake, and of course of Anka Trump. 499 00:27:27,200 --> 00:27:30,879 Speaker 1: Yeah for me, I'm available. Yeah, I mean Ivanka, I 500 00:27:30,960 --> 00:27:33,440 Speaker 1: probably would have been like, I see what they did. 501 00:27:33,480 --> 00:27:37,240 Speaker 1: The gross also, and the crazy thing was during his benediction, 502 00:27:37,359 --> 00:27:41,200 Speaker 1: like he didn't mention any of the victims and then 503 00:27:41,600 --> 00:27:44,919 Speaker 1: only only evoked the names of the candidates at this 504 00:27:45,000 --> 00:27:48,640 Speaker 1: event that we're running for office and so all around 505 00:27:49,240 --> 00:27:53,000 Speaker 1: really smooth, move home, run right, and this is all 506 00:27:53,040 --> 00:27:55,240 Speaker 1: again like so to tie this back to sort of 507 00:27:55,280 --> 00:27:58,320 Speaker 1: Trump and sort of the last push into the mid 508 00:27:58,400 --> 00:28:01,640 Speaker 1: term elections coming up Tuesday, everybody vote. He just went 509 00:28:01,760 --> 00:28:03,960 Speaker 1: again right after his tweet about everyone treated us so 510 00:28:04,000 --> 00:28:07,080 Speaker 1: well in Pittsburgh, then went on to tweet some dumb 511 00:28:07,119 --> 00:28:09,520 Speaker 1: shit about how the caravan like people were being violently 512 00:28:09,520 --> 00:28:12,679 Speaker 1: attacked in Mexico and the officials are doing nothing. Again, 513 00:28:12,920 --> 00:28:16,200 Speaker 1: completely baseless things that he's just tweeting, which shows you 514 00:28:16,640 --> 00:28:19,920 Speaker 1: he's really learned fuck all. And again I hate like this. 515 00:28:19,960 --> 00:28:21,800 Speaker 1: We'll we'll be saying this for the next four years. 516 00:28:21,840 --> 00:28:25,479 Speaker 1: We'll just be like and it shows you he's learned nothing, 517 00:28:25,200 --> 00:28:32,760 Speaker 1: nothing like yeah fingers. But again, I think for the Republicans, 518 00:28:33,080 --> 00:28:36,720 Speaker 1: they're probably just reeling, especially House Republicans, because every time 519 00:28:36,760 --> 00:28:40,040 Speaker 1: he does this like we've seen since last week and 520 00:28:40,280 --> 00:28:43,440 Speaker 1: from the Maga bomber to this guy and his response 521 00:28:43,480 --> 00:28:46,800 Speaker 1: to those things, it's tanked his approval ratings bit by bit. Now, 522 00:28:47,080 --> 00:28:49,560 Speaker 1: don't get complacent, because we need to put the smash 523 00:28:49,640 --> 00:28:53,520 Speaker 1: on all these Republican people in the election. But yeah, 524 00:28:53,680 --> 00:28:56,520 Speaker 1: I think that's really costing the House if anything, because 525 00:28:56,840 --> 00:28:59,000 Speaker 1: this is not something you can go and campaign on 526 00:28:59,080 --> 00:29:01,000 Speaker 1: because immediately so was gonna ask you, what do you 527 00:29:01,000 --> 00:29:03,440 Speaker 1: think about this? Like, what's your what's this? What's your 528 00:29:03,480 --> 00:29:08,960 Speaker 1: president up to? Even though he's everyone's president. All I 529 00:29:09,000 --> 00:29:12,720 Speaker 1: can do is just sign and then I've come up 530 00:29:12,760 --> 00:29:14,920 Speaker 1: with so many new size in the past two years, 531 00:29:14,920 --> 00:29:19,480 Speaker 1: reinvented the game and them. I mean, well, there's different kinds. Okay, 532 00:29:19,480 --> 00:29:22,800 Speaker 1: so I just gave you and that's like, sure, this 533 00:29:22,880 --> 00:29:25,160 Speaker 1: is happening. And then there's like more of an aggrieved 534 00:29:25,240 --> 00:29:31,560 Speaker 1: like that's some more aggressive just like you know, there 535 00:29:31,600 --> 00:29:37,080 Speaker 1: there it is. That's that's a breaking news pile. All right, 536 00:29:37,160 --> 00:29:41,680 Speaker 1: let's talk about the bombshell that was dropped by Jacob 537 00:29:41,760 --> 00:29:45,560 Speaker 1: wool and Jack Berkman. Can I just preface this was 538 00:29:45,640 --> 00:29:48,360 Speaker 1: saying I didn't know what you guys were talking about. 539 00:29:48,480 --> 00:29:51,120 Speaker 1: When where should you? When? I And that made me happy. 540 00:29:51,920 --> 00:29:53,280 Speaker 1: You know, this is a small I mean it's a 541 00:29:53,400 --> 00:29:57,160 Speaker 1: it's a small, fun relevant story. Yes, no, I understand it. 542 00:29:57,240 --> 00:29:59,480 Speaker 1: And I looked at that afterwards. Didn't make me happy. 543 00:29:59,480 --> 00:30:01,520 Speaker 1: I'm like, oh, it's good that it's not as far 544 00:30:01,600 --> 00:30:06,120 Speaker 1: out as I was. Afright it was. I realized I 545 00:30:06,160 --> 00:30:08,200 Speaker 1: haven't heard about it, you know, yeah, yeah, yeah, it 546 00:30:08,240 --> 00:30:10,360 Speaker 1: was like if I hadn't heard about that means it's 547 00:30:11,040 --> 00:30:16,160 Speaker 1: that's good. Okay, good, Well we knew what to recap recap, right, 548 00:30:16,400 --> 00:30:18,400 Speaker 1: on daily I guess it is, like guy, So we 549 00:30:18,520 --> 00:30:23,320 Speaker 1: talked about how Maga Twitter celeb Jacob wool and GOP 550 00:30:23,560 --> 00:30:28,479 Speaker 1: huckster trickster conspiracy theory spreader Jack Berkman they teamed up 551 00:30:28,520 --> 00:30:32,680 Speaker 1: for like one of the most painfully transparent, obvious fraud 552 00:30:32,760 --> 00:30:36,240 Speaker 1: schemes to try and smear Robert Mueller for sexual assault, 553 00:30:36,240 --> 00:30:39,320 Speaker 1: where they were offering women money to sign an sworn 554 00:30:39,400 --> 00:30:42,480 Speaker 1: affidavid that he had either tried to rape them or 555 00:30:42,960 --> 00:30:48,320 Speaker 1: assaulted them in some way, and you know, uh, it 556 00:30:48,360 --> 00:30:51,840 Speaker 1: depends like I don't know, twenty grand card debt would 557 00:30:51,840 --> 00:30:54,200 Speaker 1: get paid off or something. It would be funny for 558 00:30:54,320 --> 00:30:56,600 Speaker 1: me to be like go up better and like how 559 00:30:56,680 --> 00:31:00,720 Speaker 1: much it's funny and it just like do it on 560 00:31:00,840 --> 00:31:05,080 Speaker 1: camera the whole time. Yeah. Yeah, And you know Robert Muller, Yeah, 561 00:31:05,120 --> 00:31:07,120 Speaker 1: I think so he did some sex stuff to me. 562 00:31:08,640 --> 00:31:11,640 Speaker 1: I mean they would, I mean, that would probably probably 563 00:31:11,640 --> 00:31:14,200 Speaker 1: would have been their next best option. But once they 564 00:31:14,280 --> 00:31:16,440 Speaker 1: figured out, you know, like a lot of journalists figured 565 00:31:16,440 --> 00:31:18,000 Speaker 1: out what was going on and kind of blew up 566 00:31:18,000 --> 00:31:20,719 Speaker 1: their spot and including like the Special Counsel's office being 567 00:31:20,760 --> 00:31:25,160 Speaker 1: like we've referred this to the FBI. Yeah, so that 568 00:31:25,280 --> 00:31:30,240 Speaker 1: began Backpedal Fest three thousand and eight because the way 569 00:31:30,280 --> 00:31:33,200 Speaker 1: these guys have had to be just dancing and trying 570 00:31:33,240 --> 00:31:36,240 Speaker 1: to change their tune has been kind of fucking hilarious. 571 00:31:36,240 --> 00:31:38,680 Speaker 1: I mean, so, first, you know, yesterday we said that 572 00:31:39,000 --> 00:31:42,040 Speaker 1: on Thursday they were having this press conference to bring 573 00:31:42,040 --> 00:31:45,160 Speaker 1: out the woman who was there was their victim that 574 00:31:45,280 --> 00:31:47,960 Speaker 1: they did not manufacture, that they did not produce out 575 00:31:47,960 --> 00:31:51,280 Speaker 1: of thin air. So then we find out that maybe 576 00:31:51,320 --> 00:31:54,800 Speaker 1: this person either doesn't exist or realize that they might 577 00:31:54,840 --> 00:31:57,760 Speaker 1: be caught up in a like a felonious fraud scheme 578 00:31:57,800 --> 00:32:01,200 Speaker 1: to attack Robert Mueller and didn't show up. So on 579 00:32:01,240 --> 00:32:04,480 Speaker 1: the day, both Berkman and Jacob Waul, they're just saying like, hey, look, 580 00:32:04,480 --> 00:32:07,040 Speaker 1: you know we we said, you know, she she arrived 581 00:32:07,040 --> 00:32:09,920 Speaker 1: in d C but then boarded a flight to another 582 00:32:09,960 --> 00:32:12,280 Speaker 1: location because she feared for her life. And Jacob Ball, 583 00:32:12,320 --> 00:32:14,160 Speaker 1: you know, he posted her seats. He took a selfie 584 00:32:14,160 --> 00:32:18,480 Speaker 1: with some female form with the face crossed out, uh, 585 00:32:18,640 --> 00:32:21,800 Speaker 1: just to prove that that is the person. Hey, strange lady, 586 00:32:21,800 --> 00:32:24,560 Speaker 1: can I get a selfie with you for a scavenger hunt? 587 00:32:25,800 --> 00:32:28,680 Speaker 1: You know? Pretty much, but this is pretty much like 588 00:32:28,720 --> 00:32:30,840 Speaker 1: this is part for the course, especially for Berkman, who 589 00:32:30,880 --> 00:32:32,880 Speaker 1: has done this sort of thing before where he says 590 00:32:32,880 --> 00:32:35,280 Speaker 1: he's got a witness to some kind of insane crime 591 00:32:35,600 --> 00:32:37,400 Speaker 1: and then then there are no show. Like he did 592 00:32:37,440 --> 00:32:39,760 Speaker 1: the same thing with the death of that d NC 593 00:32:39,920 --> 00:32:41,920 Speaker 1: stafford seth Rich, who they were trying to say, like 594 00:32:42,000 --> 00:32:45,080 Speaker 1: Hillary Clinton, where this is the little boy that crowd 595 00:32:45,080 --> 00:32:48,440 Speaker 1: wolf is what this is. And now somebody that's going 596 00:32:48,480 --> 00:32:50,200 Speaker 1: to tell the troops is gonna go to these people 597 00:32:50,400 --> 00:32:53,000 Speaker 1: and be like, hey, this really happened to me and 598 00:32:53,040 --> 00:32:57,240 Speaker 1: there hey, and everybody's gonna go away Jacob right, yeah, 599 00:32:57,320 --> 00:33:00,520 Speaker 1: and he's like, but but no, this time to real 600 00:33:00,560 --> 00:33:05,480 Speaker 1: alien go Yeah. He's also like the youngest person to 601 00:33:05,520 --> 00:33:08,920 Speaker 1: be charged like securities for OUs things anyway. But so 602 00:33:09,320 --> 00:33:10,880 Speaker 1: you know, he did the same thing with seth Rich, 603 00:33:10,920 --> 00:33:12,880 Speaker 1: said there was gonna be a witness, then when it 604 00:33:12,920 --> 00:33:16,120 Speaker 1: came to throw down, the person just did not show up. 605 00:33:16,160 --> 00:33:18,120 Speaker 1: And he was like, oh, well, yeah, you know that 606 00:33:18,200 --> 00:33:20,800 Speaker 1: the guy exists. And then prior to all of this 607 00:33:20,920 --> 00:33:23,560 Speaker 1: kind of coming to light, you know, we'll deny that 608 00:33:23,600 --> 00:33:27,719 Speaker 1: he had anything about this intelligence firm, surefire. Uh And 609 00:33:27,720 --> 00:33:29,600 Speaker 1: he was like, you know, I don't, but I have 610 00:33:29,680 --> 00:33:31,920 Speaker 1: nothing to do with this thing. It's this is I 611 00:33:31,960 --> 00:33:33,840 Speaker 1: don't know why you think that even though my photo 612 00:33:33,960 --> 00:33:37,120 Speaker 1: is on the website and my email address is registered 613 00:33:37,120 --> 00:33:40,520 Speaker 1: to this domain and my mother's phone number is connected 614 00:33:40,560 --> 00:33:42,960 Speaker 1: to this business. Well then he had to backtrack on 615 00:33:43,080 --> 00:33:47,520 Speaker 1: that and basically said, oh, well I had to actually, um, 616 00:33:47,600 --> 00:33:50,400 Speaker 1: I had to deny that because I was having to 617 00:33:50,400 --> 00:33:54,040 Speaker 1: protect my anonymity as we put this really this huge 618 00:33:54,080 --> 00:33:56,560 Speaker 1: case together. That's why I was saying that. And then 619 00:33:57,080 --> 00:33:58,880 Speaker 1: once we got to the press conference, you know, we're 620 00:33:58,880 --> 00:34:00,760 Speaker 1: really curious what this is gonna sound like. It couldn't 621 00:34:00,760 --> 00:34:03,920 Speaker 1: have been a bigger fucking disaster because at this point 622 00:34:03,960 --> 00:34:06,600 Speaker 1: all the press were there basically to be like, these 623 00:34:06,600 --> 00:34:09,399 Speaker 1: are the two bumbling idiots whose plan was just sort 624 00:34:09,400 --> 00:34:11,279 Speaker 1: of brought to light for everyone to see. Yet they're 625 00:34:11,280 --> 00:34:12,680 Speaker 1: still going to try and come up here and act 626 00:34:12,719 --> 00:34:20,719 Speaker 1: like something's really happening. Hey, everybody, thanks for coming. So so, no, 627 00:34:21,120 --> 00:34:23,600 Speaker 1: it was a very it was a very very interesting 628 00:34:23,680 --> 00:34:26,400 Speaker 1: press conference. Oh but I shouldn't mention that before the 629 00:34:26,400 --> 00:34:29,200 Speaker 1: press conference, they did do this interview with Gateway Pundit, 630 00:34:29,239 --> 00:34:31,600 Speaker 1: which is the website that loves to spread pro Trump 631 00:34:31,640 --> 00:34:37,440 Speaker 1: conspiracy theories of all varieties, sounds legitiate where they were basically, 632 00:34:37,480 --> 00:34:40,520 Speaker 1: you know, saying that I don't know. Jacob Bile had 633 00:34:40,520 --> 00:34:44,239 Speaker 1: this very interesting setup for why he believes that this 634 00:34:44,280 --> 00:34:47,400 Speaker 1: woman who told them about Robert Mueller's behavior, that he 635 00:34:47,480 --> 00:34:50,120 Speaker 1: felt she was credible because of a certain stance that 636 00:34:50,160 --> 00:34:52,640 Speaker 1: he has. I'm the biggest skeptic in the world of 637 00:34:52,640 --> 00:34:56,640 Speaker 1: the me too movement. My default position is not to 638 00:34:56,800 --> 00:35:00,480 Speaker 1: believe the women to solid That's just a smart decision, 639 00:35:01,320 --> 00:35:06,200 Speaker 1: smart well crafted thought out words in his mind. Though, 640 00:35:06,320 --> 00:35:08,359 Speaker 1: if that's the setup, then that means when he goes 641 00:35:08,600 --> 00:35:12,160 Speaker 1: and because of that, I found this one very credible. 642 00:35:12,560 --> 00:35:15,000 Speaker 1: So she has to be very credible because that's a 643 00:35:15,080 --> 00:35:17,800 Speaker 1: weird way to see all that. That's that was a 644 00:35:18,040 --> 00:35:22,359 Speaker 1: huge skeptic of women in general, Like just you know, 645 00:35:22,560 --> 00:35:26,840 Speaker 1: when they talk, lies happen, But this one does it 646 00:35:26,960 --> 00:35:31,759 Speaker 1: that I can't produce. I believe she's very credible. Her 647 00:35:31,840 --> 00:35:34,359 Speaker 1: character is unimpeachable, and like the description every like she's 648 00:35:34,360 --> 00:35:37,400 Speaker 1: a well respected fashion designer. Also, I would like to 649 00:35:37,440 --> 00:35:41,480 Speaker 1: say that if any woman liberal or conservative will love me, 650 00:35:41,640 --> 00:35:45,439 Speaker 1: I'll go either way. Just one woman. She's a well 651 00:35:45,480 --> 00:35:50,480 Speaker 1: respected fashion designer. Really comes across as like my girlfriend 652 00:35:50,560 --> 00:35:54,440 Speaker 1: lives in Canada type ship one hundred percent weird science, 653 00:35:54,520 --> 00:35:57,480 Speaker 1: and he's pushing the buttons but she won't come out right. 654 00:35:58,920 --> 00:36:01,520 Speaker 1: So yeah, then I said the press conference like it 655 00:36:01,560 --> 00:36:04,080 Speaker 1: was just a fucking joke of itself, in which they 656 00:36:04,080 --> 00:36:06,759 Speaker 1: both stood up there. Jacob wol was like tweeting like, 657 00:36:06,800 --> 00:36:08,839 Speaker 1: oh Anti fuzz here and it was just some dude 658 00:36:08,880 --> 00:36:10,920 Speaker 1: who had like a car with like a Trump dinosaur 659 00:36:11,000 --> 00:36:13,640 Speaker 1: blow up like like in the parking lot. And then 660 00:36:13,640 --> 00:36:16,319 Speaker 1: he's like they're busting people in and he just took 661 00:36:16,320 --> 00:36:18,200 Speaker 1: a photo of a bus that was across the street, 662 00:36:18,239 --> 00:36:20,600 Speaker 1: but there were no people like coming out of it 663 00:36:20,760 --> 00:36:23,720 Speaker 1: or anything to do with Antifa. But that's how Jacob 664 00:36:23,719 --> 00:36:25,959 Speaker 1: Warl was trying to spend this whole event. And then 665 00:36:26,000 --> 00:36:28,840 Speaker 1: inside the event was just so hilarious. So he was 666 00:36:28,880 --> 00:36:30,839 Speaker 1: in there like people from the Gateway Pundit were even 667 00:36:30,880 --> 00:36:33,120 Speaker 1: grilling him a hardish shit about this stuff when they 668 00:36:33,120 --> 00:36:34,959 Speaker 1: were in there because they realized how bad this looks 669 00:36:34,960 --> 00:36:37,200 Speaker 1: for them. Uh. And there are all kinds of things 670 00:36:37,200 --> 00:36:40,799 Speaker 1: happening from him complaining that people on Twitter were photoshopping 671 00:36:40,840 --> 00:36:43,040 Speaker 1: his face onto a corn cop like he brought that up, 672 00:36:43,280 --> 00:36:45,600 Speaker 1: and I mean they make they did that with corn. 673 00:36:45,719 --> 00:36:48,120 Speaker 1: I'm they're trying to make me look bad. When they 674 00:36:48,160 --> 00:36:50,799 Speaker 1: asked about that on the press, he was complaining, yeah, 675 00:36:50,840 --> 00:36:53,440 Speaker 1: that people were making memes of him with like photoshop 676 00:36:53,600 --> 00:36:55,880 Speaker 1: and him on a corn cop. He complained that people 677 00:36:55,920 --> 00:37:00,279 Speaker 1: were calling his like relatives and it's a little sister, 678 00:37:00,719 --> 00:37:02,520 Speaker 1: and that was based on the fact that like people 679 00:37:02,600 --> 00:37:06,080 Speaker 1: called to fact check the number on the made up 680 00:37:06,400 --> 00:37:11,040 Speaker 1: Surefire Intelligence thing. Yeah he did. So He's like, you 681 00:37:11,320 --> 00:37:14,000 Speaker 1: called my house. It's like, because you fucking red that's 682 00:37:14,040 --> 00:37:15,799 Speaker 1: the number you put their asshole, what do you mean? 683 00:37:16,160 --> 00:37:18,480 Speaker 1: And then Jack Berkman was like, you called eleven year 684 00:37:18,520 --> 00:37:23,160 Speaker 1: old girls nice? Really bad? Do you think it's just 685 00:37:23,200 --> 00:37:25,440 Speaker 1: one of like we said some stuff and then we 686 00:37:25,560 --> 00:37:27,680 Speaker 1: kept saying it and now we have to do a 687 00:37:27,719 --> 00:37:32,400 Speaker 1: press conference and yeah, yeah, people showed the funk up. 688 00:37:32,480 --> 00:37:34,440 Speaker 1: Do you think they'll do it again or do you 689 00:37:34,480 --> 00:37:36,399 Speaker 1: think it's I don't know. I mean, I'm sure because 690 00:37:36,440 --> 00:37:38,600 Speaker 1: if they try it again, it feels like mental illness. 691 00:37:38,840 --> 00:37:41,399 Speaker 1: I'm sure. Once the FBI pulls up on him, like 692 00:37:41,640 --> 00:37:43,640 Speaker 1: they just know the FBI is investigating, I'm sure. I 693 00:37:43,640 --> 00:37:45,440 Speaker 1: don't know if they if someone is actually like some 694 00:37:45,560 --> 00:37:47,600 Speaker 1: g mans pulled up and been like, yeah, we need 695 00:37:47,640 --> 00:37:50,520 Speaker 1: to talk. Uh if that that will probably get them 696 00:37:50,520 --> 00:37:52,600 Speaker 1: to abandon the story, but you never know that. I 697 00:37:52,640 --> 00:37:55,400 Speaker 1: think they're it's very, very desperate times for them. There 698 00:37:55,480 --> 00:37:58,480 Speaker 1: was another person in the audience who asked their like, 699 00:37:58,960 --> 00:38:01,560 Speaker 1: on the date of this supposed assault. They said, it 700 00:38:01,600 --> 00:38:03,719 Speaker 1: happened in New York City, and that just like I 701 00:38:03,719 --> 00:38:06,279 Speaker 1: said yesterday, it happened to be a day where there's 702 00:38:06,320 --> 00:38:10,080 Speaker 1: a very easily searchable article about how Robert Mueller had 703 00:38:10,160 --> 00:38:13,319 Speaker 1: jury duty with a full FBI detail on him on 704 00:38:13,480 --> 00:38:16,839 Speaker 1: that day in Washington, d C. And they're like when 705 00:38:16,880 --> 00:38:19,080 Speaker 1: it happened. He's like, well, that must have leaked or something, 706 00:38:19,080 --> 00:38:20,640 Speaker 1: and they're like, you can just search on the washing. 707 00:38:20,719 --> 00:38:22,759 Speaker 1: It's very you can google that date with his name 708 00:38:22,800 --> 00:38:25,480 Speaker 1: and it just shows up. I don't know. And then 709 00:38:26,239 --> 00:38:29,319 Speaker 1: his explanation was when they said, well, how could this be, said, well, 710 00:38:29,360 --> 00:38:32,000 Speaker 1: you know, sometimes people go to jury duty, but they're 711 00:38:32,040 --> 00:38:35,680 Speaker 1: also somewhere else, and the whole room actually erupted into 712 00:38:35,760 --> 00:38:39,080 Speaker 1: laughter at him. And then it turned out that Jack 713 00:38:39,120 --> 00:38:42,160 Speaker 1: Brooklyn's fly had been down the whole time, the whole time, 714 00:38:42,200 --> 00:38:48,839 Speaker 1: and that is not he just I mean not even 715 00:38:48,840 --> 00:38:51,160 Speaker 1: to mention that they couldn't figure out how to spell 716 00:38:51,280 --> 00:38:54,080 Speaker 1: this victim's name. They're like, I think it's Carolyne or 717 00:38:54,120 --> 00:38:58,000 Speaker 1: Caroline with an eat, like they couldn't nothing was you 718 00:38:58,040 --> 00:38:59,840 Speaker 1: think put watches something like that, and he's like, we 719 00:38:59,840 --> 00:39:03,360 Speaker 1: could it and train people just know. It's just amazing. 720 00:39:04,120 --> 00:39:07,640 Speaker 1: I don't know, but this is all sort of based 721 00:39:07,640 --> 00:39:10,160 Speaker 1: out of this ship, like this mago worldview of the 722 00:39:10,239 --> 00:39:13,920 Speaker 1: idea of how sexual assault allegations work on people, or 723 00:39:13,960 --> 00:39:16,719 Speaker 1: how they believe women can eat like this, this is 724 00:39:16,760 --> 00:39:19,440 Speaker 1: just a thing that that's the that's the reality in 725 00:39:19,440 --> 00:39:22,360 Speaker 1: which they operate. Uh. And this whole like the idea 726 00:39:22,360 --> 00:39:24,319 Speaker 1: of them thinking they really pulled a fast one, just 727 00:39:24,360 --> 00:39:28,120 Speaker 1: like total Dunning Kruger effect, like in action before eyes 728 00:39:28,120 --> 00:39:30,920 Speaker 1: of people thinking they're way more able than they are, 729 00:39:31,200 --> 00:39:36,799 Speaker 1: got you right how you're here. It was like you're 730 00:39:36,840 --> 00:39:39,680 Speaker 1: saying billions like people watching what we say, punked or 731 00:39:39,719 --> 00:39:41,560 Speaker 1: something and just not knowing how to do it. Yeah, 732 00:39:41,600 --> 00:39:44,560 Speaker 1: it's like seeing all those things, like just watching people 733 00:39:44,640 --> 00:39:47,439 Speaker 1: do things and feeling figuring out like oh, I could 734 00:39:47,440 --> 00:39:51,120 Speaker 1: figure out the mechanics of this, but not knowing why 735 00:39:51,200 --> 00:39:54,560 Speaker 1: you're doing it or for whatever motivation, and you just 736 00:39:54,640 --> 00:39:56,080 Speaker 1: do it and then you get to the end and 737 00:39:56,120 --> 00:40:00,600 Speaker 1: you're like, huh, how we should have thought it through 738 00:40:00,719 --> 00:40:04,439 Speaker 1: before we just tried it. Yeah, it's uh yeah, they're 739 00:40:04,440 --> 00:40:07,080 Speaker 1: so they're they're in some hot water and we'll see, Yeah, 740 00:40:07,120 --> 00:40:10,000 Speaker 1: I mean, what will go on idiots, But yeah, the 741 00:40:10,000 --> 00:40:12,360 Speaker 1: gamewayun didn't need to get smacked a couple of times, 742 00:40:12,400 --> 00:40:16,239 Speaker 1: like judicially. Oh yeah, yeah, that's I mean, because try 743 00:40:16,280 --> 00:40:19,640 Speaker 1: and metal in this investigation by like having someone commit 744 00:40:19,680 --> 00:40:24,400 Speaker 1: fraud for like a pay to live scheme, Like come on, now, well, 745 00:40:25,600 --> 00:40:27,719 Speaker 1: well well what do you got? I mean, right now, 746 00:40:27,760 --> 00:40:31,080 Speaker 1: we're in crazy land. That's who he's talking to. Because 747 00:40:31,520 --> 00:40:35,040 Speaker 1: even it's just clear right now, like even people that 748 00:40:35,120 --> 00:40:39,160 Speaker 1: were I think we're pro Trump, that we're you know, 749 00:40:39,280 --> 00:40:45,120 Speaker 1: moderate to severe plexarizes, yes whatever exactly at this point 750 00:40:45,160 --> 00:40:48,880 Speaker 1: are quietly not pro Trump anymore. Do you know what 751 00:40:48,920 --> 00:40:51,080 Speaker 1: I mean? I think that shifts being made. So now 752 00:40:51,920 --> 00:40:55,439 Speaker 1: that base is shrinking and they know that. So now 753 00:40:55,480 --> 00:40:59,240 Speaker 1: they're speaking to crazy crazy, crazy crazy crazy and crazy 754 00:40:59,280 --> 00:41:04,000 Speaker 1: is loudest suck. Usually they're they're smaller number, but they 755 00:41:03,840 --> 00:41:06,000 Speaker 1: like just go to certain intersections in l A and 756 00:41:06,000 --> 00:41:09,200 Speaker 1: you're like, here, they are right here. All right, we're 757 00:41:09,200 --> 00:41:19,719 Speaker 1: gonna take a quick break. We'll be right back, and 758 00:41:19,880 --> 00:41:25,640 Speaker 1: we're back. And sort of the opposite of Justin Bieber, 759 00:41:25,840 --> 00:41:29,040 Speaker 1: I would say, is a dog that we learned about 760 00:41:29,120 --> 00:41:34,920 Speaker 1: on Facebook the sort of well and that they're clever 761 00:41:35,120 --> 00:41:43,799 Speaker 1: about their fast food eating, whereas Justin Bieber is clueless. 762 00:41:40,719 --> 00:41:47,719 Speaker 1: If it's so this dog, people were talking about this 763 00:41:47,800 --> 00:41:49,799 Speaker 1: dog that was always at the McDonald's that were given 764 00:41:49,840 --> 00:41:52,920 Speaker 1: the dog scraps of their McDonald's and because they assumed 765 00:41:52,920 --> 00:41:58,200 Speaker 1: it was astray. And then Betsy Yes just tweeted, I 766 00:41:58,200 --> 00:42:01,520 Speaker 1: guess or posted on Facebook the triver dog and was like, look, 767 00:42:02,239 --> 00:42:07,279 Speaker 1: stop giving my fat ass gold digging dog McDonald's. She 768 00:42:07,440 --> 00:42:11,360 Speaker 1: just sneaks out every night and goes and basically caused 769 00:42:11,360 --> 00:42:17,440 Speaker 1: plays as a stray dog outside of McDonald's. But the 770 00:42:17,560 --> 00:42:22,000 Speaker 1: actual post is amazing because she has had it. She goes, 771 00:42:22,080 --> 00:42:24,759 Speaker 1: this is a quote from her Facebook. If you see 772 00:42:24,800 --> 00:42:27,960 Speaker 1: my dog at the McDonald's on shields, quit feeding her 773 00:42:28,000 --> 00:42:30,799 Speaker 1: fat ass. She's not even a stray dog. She's just 774 00:42:30,840 --> 00:42:33,319 Speaker 1: a gold digging ass bitch that be acting like she's 775 00:42:33,360 --> 00:42:35,560 Speaker 1: a stray so people will feel bad for her and 776 00:42:35,600 --> 00:42:39,879 Speaker 1: feed her burgers. And the picture of the dog. Yeah, 777 00:42:40,800 --> 00:42:43,399 Speaker 1: the picture of the dog is like it's just such 778 00:42:43,480 --> 00:42:47,239 Speaker 1: a strong, well fed looking dog. It's just like that 779 00:42:47,400 --> 00:42:51,920 Speaker 1: dog is just on plenty of protein in that dog's diet. 780 00:42:55,120 --> 00:42:58,080 Speaker 1: Names Princess and that face. Honestly, like I would feel bad, 781 00:42:58,239 --> 00:43:00,439 Speaker 1: like I don't know, you know, like you said, Jack, 782 00:43:00,520 --> 00:43:03,080 Speaker 1: like you know how wolves or whatever, how dogs became 783 00:43:03,120 --> 00:43:05,319 Speaker 1: domesticated because they knew how to like get near us 784 00:43:05,320 --> 00:43:08,279 Speaker 1: and get food or whatever. I see that whole, that 785 00:43:08,360 --> 00:43:11,279 Speaker 1: whole idea, that evolution in this dog's face, because even 786 00:43:11,280 --> 00:43:13,919 Speaker 1: though it looks well fed, I'm like, you know, let's 787 00:43:13,920 --> 00:43:16,000 Speaker 1: give us some fries or something, right, you know, yeah, 788 00:43:16,120 --> 00:43:18,479 Speaker 1: we all picture a dog like if her dog runs 789 00:43:18,480 --> 00:43:22,160 Speaker 1: away that it's like fending for itself out in the wilderness. No, man, 790 00:43:22,200 --> 00:43:24,640 Speaker 1: it's just going to the nearest corner where there's like 791 00:43:25,080 --> 00:43:27,600 Speaker 1: a place where there's people are giving away food and 792 00:43:27,640 --> 00:43:29,720 Speaker 1: begging for food. Yeah. I mean, well, dogs are treated 793 00:43:29,719 --> 00:43:32,279 Speaker 1: better than most people in this country. So I had 794 00:43:32,280 --> 00:43:34,279 Speaker 1: a dog that used to fake a limp to get 795 00:43:34,280 --> 00:43:37,399 Speaker 1: me to pick her up. Well, maybe what's wrong. She's 796 00:43:37,440 --> 00:43:39,560 Speaker 1: just fine, and she learned she could just do that 797 00:43:39,640 --> 00:43:43,680 Speaker 1: to everyone. Like I didn't even realize it until I 798 00:43:43,719 --> 00:43:45,759 Speaker 1: went to the vet and the vet was like, I'm 799 00:43:45,760 --> 00:43:49,799 Speaker 1: not going to charge you because your dog is playing. Um, 800 00:43:49,880 --> 00:43:52,160 Speaker 1: can I have one moment with your dog? You need 801 00:43:52,200 --> 00:43:54,560 Speaker 1: to knock this ship off. This is going to get 802 00:43:54,560 --> 00:43:58,399 Speaker 1: expensive for Vanessa's like what's wrong with her? And it's 803 00:43:58,400 --> 00:44:02,400 Speaker 1: like now she just learned which to wear or she 804 00:44:01,560 --> 00:44:04,240 Speaker 1: would she would like whimper and like do a little hobble, 805 00:44:04,640 --> 00:44:06,120 Speaker 1: and as soon as I came near, like oh, I'm 806 00:44:06,160 --> 00:44:08,279 Speaker 1: gonna pick you up, she was just straighten out. She 807 00:44:08,400 --> 00:44:13,000 Speaker 1: was fine. Wow. But see that's funny, right, because like 808 00:44:13,280 --> 00:44:15,839 Speaker 1: I wonder if the owner was just so sick of 809 00:44:15,840 --> 00:44:17,800 Speaker 1: seeing people give a shit about her dog or something 810 00:44:17,840 --> 00:44:20,200 Speaker 1: like what what was it that was pissing like the 811 00:44:20,239 --> 00:44:22,080 Speaker 1: owner off that she had to go on Facebook. Well, 812 00:44:22,120 --> 00:44:24,839 Speaker 1: I bet she's a gold digging as bits, Like, I 813 00:44:24,880 --> 00:44:27,920 Speaker 1: bet it's harder to keep the dog in the house 814 00:44:27,960 --> 00:44:31,759 Speaker 1: when people are feeding. Like the dog is very motivated, right, 815 00:44:31,840 --> 00:44:35,200 Speaker 1: she knows exactly what she's doing. She's like, these motherfucker's 816 00:44:35,200 --> 00:44:38,040 Speaker 1: are going to give me burgers. And so this person 817 00:44:38,160 --> 00:44:40,319 Speaker 1: is just like, please stop encouraging her. Well, she has 818 00:44:40,360 --> 00:44:43,799 Speaker 1: to clean up Burger ships, right, that's true. That's the 819 00:44:43,880 --> 00:44:48,800 Speaker 1: other thing. Yeah, I would Yeah, you know what stopped 820 00:44:48,800 --> 00:44:52,239 Speaker 1: feeding that ship paints the driveway. You will never get 821 00:44:52,280 --> 00:44:54,919 Speaker 1: the silhouette of it out ever again. Oh no, Yeah, 822 00:44:55,120 --> 00:44:57,560 Speaker 1: you need to call up you know Eco Lab haunts 823 00:44:57,560 --> 00:45:00,680 Speaker 1: your pavement and get the pressure wash her out. What 824 00:45:00,719 --> 00:45:03,800 Speaker 1: about Halloween costumes? Are you guys doing anything for Halloween 825 00:45:03,920 --> 00:45:07,600 Speaker 1: dressing up? I know I am going to hand out 826 00:45:07,640 --> 00:45:10,400 Speaker 1: candy and I'm gonna I'm gonna hand him out bygone 827 00:45:10,400 --> 00:45:13,960 Speaker 1: era candy. You know, my hand out squeeze its and 828 00:45:14,160 --> 00:45:18,759 Speaker 1: Mando drinks. Mando was like a squeeze it but like 829 00:45:19,080 --> 00:45:22,520 Speaker 1: a weird like flat top that you would snap off. Okay, yeah, 830 00:45:22,560 --> 00:45:24,680 Speaker 1: I got old fru Topia's on my hand out. I'm 831 00:45:24,680 --> 00:45:31,759 Speaker 1: just like, yeah, so be yeah exactly. So Bees they 832 00:45:31,840 --> 00:45:35,360 Speaker 1: carry it one. What was the off brand? The third brand? 833 00:45:35,400 --> 00:45:39,239 Speaker 1: Not Gatorade, not Power it was Yeah, that was like 834 00:45:39,360 --> 00:45:43,640 Speaker 1: carbonated sports. It has a little st Yeah. The thing 835 00:45:43,680 --> 00:45:47,400 Speaker 1: about Toby was that it was unfinishable, huge, like the 836 00:45:47,600 --> 00:45:50,319 Speaker 1: bottles were just like so giant, and it was kind 837 00:45:50,360 --> 00:45:52,480 Speaker 1: of thick in a way that sort of made it 838 00:45:52,480 --> 00:45:55,000 Speaker 1: feel like a meal in a bad way. Uh, and 839 00:45:55,040 --> 00:45:57,800 Speaker 1: so I always was thrown out the last third of that. 840 00:45:57,960 --> 00:46:02,600 Speaker 1: So yeah, and like old not Io water bottles, remember Naya. Anyway, 841 00:46:02,600 --> 00:46:03,759 Speaker 1: I don't know, I don't I think I'm just gonna 842 00:46:03,800 --> 00:46:05,960 Speaker 1: hand out candy I got. They have glow in the 843 00:46:06,040 --> 00:46:08,600 Speaker 1: Dark candy, which I haven't opened up yet. I just 844 00:46:08,600 --> 00:46:09,920 Speaker 1: thought at the store and it's like glow in the 845 00:46:10,000 --> 00:46:12,680 Speaker 1: Dark Hershey's. I don't know if the candy itself was 846 00:46:12,680 --> 00:46:14,320 Speaker 1: going the darker. It's the packaging. It's got to be 847 00:46:14,360 --> 00:46:16,440 Speaker 1: the package. I haven't opened it up, but I mean, 848 00:46:16,480 --> 00:46:22,360 Speaker 1: I'm in the dark worms like those gummy worms for years, 849 00:46:22,400 --> 00:46:25,560 Speaker 1: you know. That's so what do I know? How about you? 850 00:46:25,640 --> 00:46:28,480 Speaker 1: I'm also and I'm not doing anything. What the idea 851 00:46:28,480 --> 00:46:30,640 Speaker 1: I have now? What kids seem to like more is 852 00:46:30,680 --> 00:46:37,080 Speaker 1: savory stuff. They love hot cheetahs, yes, instead of candy. 853 00:46:37,200 --> 00:46:41,600 Speaker 1: Now it's savory snacks. So maybe if I really want 854 00:46:41,640 --> 00:46:44,000 Speaker 1: to give the kids a thrill of this howling roast 855 00:46:44,040 --> 00:46:49,839 Speaker 1: up a prime rib, Rosemary like, would you like would 856 00:46:49,880 --> 00:46:52,280 Speaker 1: you like a more rare or well done? Said? Okay, 857 00:46:52,280 --> 00:46:55,080 Speaker 1: We're gonna love this. This is actually Australian wagu beef, 858 00:46:55,239 --> 00:46:58,239 Speaker 1: just just loose in the bag with all their big 859 00:46:58,400 --> 00:47:00,080 Speaker 1: slab of me and you're like, would you like some 860 00:47:00,160 --> 00:47:07,040 Speaker 1: of you on their carving station. It's a good idea. 861 00:47:09,080 --> 00:47:11,520 Speaker 1: Just watched the kids just like go back, like not 862 00:47:11,640 --> 00:47:19,319 Speaker 1: making eye contact. No, no, just the really thirsty chef 863 00:47:20,000 --> 00:47:22,480 Speaker 1: just like, why is no one coming to the station? 864 00:47:23,719 --> 00:47:26,839 Speaker 1: Uh ohen for you, young lad, I have mousaka. You're 865 00:47:26,840 --> 00:47:30,560 Speaker 1: gonna love this. Did you guys see the little girl's costume? 866 00:47:31,719 --> 00:47:38,120 Speaker 1: The headless little girl? Oh yeah, that's that's probably. It's 867 00:47:38,160 --> 00:47:41,360 Speaker 1: a costume that I think people have probably seen before 868 00:47:41,400 --> 00:47:45,360 Speaker 1: where the actual head is looks like it's on a plate, 869 00:47:45,440 --> 00:47:48,200 Speaker 1: and then there's like an apparatus above it that makes 870 00:47:48,200 --> 00:47:51,680 Speaker 1: it look like it's a headless body carrying the head 871 00:47:51,920 --> 00:47:54,279 Speaker 1: on a plate, but it's just the most And then 872 00:47:54,280 --> 00:47:56,360 Speaker 1: you find out this is like a physical deformity she 873 00:47:56,400 --> 00:47:59,120 Speaker 1: has and you're like, oh no, I'm so sorry your 874 00:47:59,200 --> 00:48:02,720 Speaker 1: head it's actually coming out of your dress, like total 875 00:48:02,760 --> 00:48:06,000 Speaker 1: recalling ship. Yeah, it's good for you taking ownership of it. 876 00:48:06,560 --> 00:48:11,640 Speaker 1: Proportion don't make sense in the in the costume, that's 877 00:48:11,640 --> 00:48:14,479 Speaker 1: what like, Well, I like how when a proposed nothing 878 00:48:14,520 --> 00:48:16,279 Speaker 1: this morning? You go, yo, did you see this little 879 00:48:16,280 --> 00:48:19,200 Speaker 1: girl's costume, and I was like, no, but I didn't 880 00:48:19,239 --> 00:48:21,040 Speaker 1: know what the funk you were talking about, something like 881 00:48:21,080 --> 00:48:22,759 Speaker 1: what do you mean? Like it's something like I was 882 00:48:22,800 --> 00:48:25,440 Speaker 1: like ships, some black face nonsense or some ship and 883 00:48:25,480 --> 00:48:26,719 Speaker 1: it was the thing I had signed. I was like, 884 00:48:26,719 --> 00:48:29,640 Speaker 1: oh yeah, and but you were sincerely like you were 885 00:48:29,719 --> 00:48:32,920 Speaker 1: really mesmerized by saying like damn like and then they 886 00:48:32,960 --> 00:48:36,680 Speaker 1: put the candy like in the neck hole. I know, yeah, 887 00:48:36,920 --> 00:48:39,399 Speaker 1: just a fan, that's I mean, that feels like one 888 00:48:39,400 --> 00:48:42,479 Speaker 1: of those costumes that a parent does to like show 889 00:48:42,560 --> 00:48:45,240 Speaker 1: their kids off. The worst ones are when they dressed 890 00:48:45,280 --> 00:48:48,080 Speaker 1: them up as something that they the parents are fans of, 891 00:48:48,320 --> 00:48:52,000 Speaker 1: like favorite whatever like podcast host or something. Right, you see, 892 00:48:52,239 --> 00:48:56,520 Speaker 1: you do not do this? And wait, have people dressed 893 00:48:56,600 --> 00:49:00,640 Speaker 1: up as dressed their kids up as you? Never? Never kids, 894 00:49:00,719 --> 00:49:05,720 Speaker 1: thank god, some adults occasionally, but I see like whatever, 895 00:49:05,800 --> 00:49:09,000 Speaker 1: some like Barstool sports host, you like, dress your kid 896 00:49:09,080 --> 00:49:10,640 Speaker 1: up as that, and a kid has to grow up 897 00:49:10,680 --> 00:49:12,200 Speaker 1: and then be like, what did you do when you 898 00:49:12,200 --> 00:49:15,400 Speaker 1: were a kid, Oh yeah, I was FD comment or whatever? 899 00:49:17,600 --> 00:49:21,840 Speaker 1: Do that to your children? All right, that's gonna do 900 00:49:21,920 --> 00:49:25,799 Speaker 1: it For this week's Weekly Zeite, Guys, please like and 901 00:49:25,840 --> 00:49:30,160 Speaker 1: review the show if you like the show, uh means 902 00:49:30,200 --> 00:49:34,480 Speaker 1: the world to Miles. He needs your validation, folks. I 903 00:49:34,520 --> 00:49:37,640 Speaker 1: hope you're having a great weekend and I will talk 904 00:49:37,680 --> 00:50:00,320 Speaker 1: to him Monday. By S.