1 00:00:00,080 --> 00:00:04,240 Speaker 1: Hello the Internet, am welcome to Season one, nine, Episode 2 00:00:04,240 --> 00:00:09,320 Speaker 1: two of days Guys Action of My Heart Radio. This 3 00:00:09,360 --> 00:00:10,800 Speaker 1: is a podcast where you take a deep have in 4 00:00:10,800 --> 00:00:16,400 Speaker 1: New America's share consciousness. It's Tuesday, November ten, seventy one 5 00:00:16,520 --> 00:00:21,759 Speaker 1: days until January twenties. But who's counting? My name is 6 00:00:21,880 --> 00:00:26,319 Speaker 1: Jack O'Brien. A k Now. This is a story all 7 00:00:26,360 --> 00:00:29,840 Speaker 1: about how Pennsylvania turned blue flipped upside down, and I 8 00:00:29,880 --> 00:00:32,120 Speaker 1: would like to do this intro, So sit right there, 9 00:00:32,159 --> 00:00:34,760 Speaker 1: I'll tell you how this became the place that turned around. 10 00:00:34,760 --> 00:00:40,160 Speaker 1: This affair in West Philadelphia. The difference was made where 11 00:00:40,200 --> 00:00:43,440 Speaker 1: they kept counting ballots and it lasted for days counting 12 00:00:43,479 --> 00:00:46,159 Speaker 1: all the votes, then relaxing. All cool because the ballots 13 00:00:46,159 --> 00:00:48,920 Speaker 1: that were mailed in were just as valid too. Then 14 00:00:48,920 --> 00:00:51,360 Speaker 1: a campaign of lies they were up to no good 15 00:00:51,680 --> 00:00:55,040 Speaker 1: started filing lawsuits in the neighborhood. They lost just one 16 00:00:55,080 --> 00:00:58,279 Speaker 1: little fight and Donald got scared. He said, fuck this ship. 17 00:00:58,440 --> 00:01:03,240 Speaker 1: I won't leave and I don't even care. Damn. That's 18 00:01:04,600 --> 00:01:08,760 Speaker 1: shout out And I'm thrilled to be joined as a 19 00:01:09,240 --> 00:01:14,240 Speaker 1: by'm my co host Mr Miles Gray's Miles a k A. 20 00:01:14,880 --> 00:01:20,720 Speaker 1: I'm so fucking tired from fucking years of doing this show. 21 00:01:21,080 --> 00:01:24,560 Speaker 1: I'm I'm gonna have a good podcast a K to 22 00:01:24,640 --> 00:01:28,119 Speaker 1: start the next one. I'm just so I'm tired. Yeah 23 00:01:30,400 --> 00:01:32,920 Speaker 1: right now. I love Christie. I'm a Gucci man. I 24 00:01:32,959 --> 00:01:35,240 Speaker 1: see you. I sees you with that ether a K. 25 00:01:35,480 --> 00:01:37,880 Speaker 1: I'm I promise you. I'm gonna bless everybody with that 26 00:01:37,920 --> 00:01:41,759 Speaker 1: second ether verse. But for now, I'm just Miles, just 27 00:01:42,440 --> 00:01:44,560 Speaker 1: hanging out with y'all. Good to see you, Thanks for 28 00:01:44,600 --> 00:01:47,960 Speaker 1: having me. Somebody else who gives us ether, who writes 29 00:01:48,040 --> 00:01:52,320 Speaker 1: ethers for us, is in our third seat today, coming 30 00:01:52,360 --> 00:01:56,640 Speaker 1: to us all the way from uh north of the border. 31 00:01:56,880 --> 00:02:00,840 Speaker 1: I think Canada is uh he is is the brilliant 32 00:02:00,920 --> 00:02:06,400 Speaker 1: the town to J M mcnaw hey, Hey, how's it 33 00:02:06,480 --> 00:02:11,480 Speaker 1: going good? Many, You're welcome, Jam, You're welcome Canada. We 34 00:02:11,520 --> 00:02:18,600 Speaker 1: did it. You're welcome. Saved your ass? What is this? 35 00:02:18,880 --> 00:02:22,119 Speaker 1: What was that? Like? What's it like being up here? 36 00:02:22,760 --> 00:02:28,399 Speaker 1: Turin election? The same right? I did look up like 37 00:02:29,000 --> 00:02:31,920 Speaker 1: because you know, I was watching cable news like like 38 00:02:32,000 --> 00:02:33,800 Speaker 1: everyone to see how it's all playing out, and I 39 00:02:33,840 --> 00:02:36,920 Speaker 1: saw the celebrations in the streets, and then I so 40 00:02:37,000 --> 00:02:38,680 Speaker 1: I looked up to see because I don't leave my 41 00:02:38,720 --> 00:02:43,680 Speaker 1: house anymore because of all the stuff. So I looked 42 00:02:43,720 --> 00:02:45,880 Speaker 1: up on Twitter to see if there was a celebration 43 00:02:45,880 --> 00:02:48,760 Speaker 1: in Toronto at all, and there was a small, a 44 00:02:48,800 --> 00:02:53,359 Speaker 1: small gathering, but they were immediately dwarf by like an 45 00:02:53,400 --> 00:03:00,000 Speaker 1: anti masker rally that was happening downtown in Toronto. In Toronto, Yeah, 46 00:03:00,200 --> 00:03:02,400 Speaker 1: because I think we Freaky Friday with you guys. I 47 00:03:02,400 --> 00:03:06,160 Speaker 1: think that's what's gonna happen more and more. Pete in 48 00:03:06,200 --> 00:03:09,840 Speaker 1: the same fountain and it was a magical fountain. Yeah, 49 00:03:10,000 --> 00:03:14,959 Speaker 1: That's that's how the SWITCHERU happens in that movie, The SWITCHERU. 50 00:03:15,280 --> 00:03:17,240 Speaker 1: I think, I don't know, the one switch movie with 51 00:03:17,320 --> 00:03:19,800 Speaker 1: Jason Bateman that nobody saw. They Pete in the fountain 52 00:03:20,000 --> 00:03:23,160 Speaker 1: and yeah, he like he's in a found with Ryan 53 00:03:23,200 --> 00:03:28,440 Speaker 1: Reynolds and then like the like the point of SWITCHERU 54 00:03:28,560 --> 00:03:31,160 Speaker 1: movies is supposed to be that unlike people have to 55 00:03:31,200 --> 00:03:33,240 Speaker 1: live in the body of somebody they're not like, and 56 00:03:33,360 --> 00:03:37,120 Speaker 1: Jason Bateman and Ryan Reynolds two guys who are like cocky, 57 00:03:37,320 --> 00:03:43,160 Speaker 1: like same aged white guys SWITCHERU. It's like, whoa, I'm 58 00:03:43,200 --> 00:03:50,680 Speaker 1: a different kind of handsome now exactly, I'm adorable. Yeah. 59 00:03:51,080 --> 00:03:55,800 Speaker 1: Um all right, Well, uh, jam, we're gonna get to 60 00:03:55,880 --> 00:03:58,800 Speaker 1: know you a little bit better in a moment. First, 61 00:03:58,800 --> 00:04:00,760 Speaker 1: we're gonna tell our listeners a couple of things we're 62 00:04:00,760 --> 00:04:05,680 Speaker 1: talking about. Uh, we're talking about the COVID nineteen vaccine 63 00:04:05,880 --> 00:04:10,560 Speaker 1: that was announced that is effective, which I didn't know 64 00:04:10,640 --> 00:04:13,320 Speaker 1: whether to be impressed by that or not. We'll talk 65 00:04:13,320 --> 00:04:21,120 Speaker 1: about again. Fox thinks it's very suspicious that that vaccine 66 00:04:21,160 --> 00:04:26,480 Speaker 1: was announced after the election. Oh now they got some 67 00:04:26,600 --> 00:04:29,240 Speaker 1: serious I mean to be honest, if I was a 68 00:04:29,240 --> 00:04:31,680 Speaker 1: Trump supporter, I definitely would be like, oh, come on, 69 00:04:32,600 --> 00:04:34,680 Speaker 1: you know. And if I was at fires, I'm like, yeah, fun, 70 00:04:34,800 --> 00:04:39,440 Speaker 1: Yeah we did that. Yeah, seriously fun. Y'all. If you're 71 00:04:39,440 --> 00:04:42,920 Speaker 1: a company that like thrives on believing in science, I 72 00:04:42,960 --> 00:04:46,680 Speaker 1: don't I think it's you're within your rights. Uh. We're 73 00:04:46,680 --> 00:04:50,400 Speaker 1: gonna talk about the terrifying things the president is doing today. 74 00:04:51,120 --> 00:04:53,719 Speaker 1: We're gonna talk about why this transition is going to 75 00:04:53,760 --> 00:04:57,480 Speaker 1: be a fucking mess and some historical precedent for that. 76 00:04:58,200 --> 00:05:01,240 Speaker 1: We'll talk about the Trump's porters, how they're digging in 77 00:05:01,279 --> 00:05:05,400 Speaker 1: their heels. They've already spun off from this version of reality. 78 00:05:06,279 --> 00:05:11,280 Speaker 1: Michelle Bachman is calling out God himself. That's the stage 79 00:05:11,320 --> 00:05:14,040 Speaker 1: we're at, Like people are trying to speak to the man. 80 00:05:14,680 --> 00:05:22,120 Speaker 1: Ha ha ha ha ha ha ha ha man. Uh, 81 00:05:22,200 --> 00:05:25,720 Speaker 1: we're gonna talk about one conspiracy theory. Jam you you 82 00:05:25,760 --> 00:05:28,680 Speaker 1: looked into Uh. If you hear people talking about the 83 00:05:28,760 --> 00:05:33,200 Speaker 1: hammer and the scorecard, get ready to just have your 84 00:05:33,480 --> 00:05:37,280 Speaker 1: brain filled with a load of wild bullshit. We'll talk 85 00:05:37,360 --> 00:05:42,880 Speaker 1: about Yeah, yeah, the hammer in the score the scorecard 86 00:05:42,960 --> 00:05:46,400 Speaker 1: or the hammer scorecard scorecard? Alright, alright, the hammer is 87 00:05:46,480 --> 00:05:50,440 Speaker 1: a socialist bar, but the scorecard is the opposite where 88 00:05:50,880 --> 00:05:54,719 Speaker 1: on opposite in corners Wayne's in Wayne's World two where 89 00:05:54,720 --> 00:05:58,000 Speaker 1: they held the fundraiser for Wayne Stock. Remember like it 90 00:05:58,080 --> 00:05:59,960 Speaker 1: was like, remember like that party they had. It was 91 00:06:00,120 --> 00:06:03,680 Speaker 1: like at a like a Lenin themed bar with all 92 00:06:03,720 --> 00:06:06,520 Speaker 1: the monuments. Yeah, Like it was like I was coupled 93 00:06:06,600 --> 00:06:09,640 Speaker 1: Lenin out. It's like, so we'll be a communist party. 94 00:06:09,680 --> 00:06:11,160 Speaker 1: I remember was a joke and I was like, this 95 00:06:11,160 --> 00:06:15,320 Speaker 1: show is sick. I love that movie. Uh. St Louis 96 00:06:16,120 --> 00:06:19,560 Speaker 1: the mccloskey's. We're checking in with the mccloskey's of Saint Louis. 97 00:06:20,400 --> 00:06:24,000 Speaker 1: They are, uh, they're in the running. They're they're definitely 98 00:06:24,480 --> 00:06:28,760 Speaker 1: in the running to be nominated for Most Notable Shitty 99 00:06:28,760 --> 00:06:32,440 Speaker 1: White People. They probably don't have a chance with just 100 00:06:32,760 --> 00:06:36,400 Speaker 1: the year that we've had, but they're they could be nominated. 101 00:06:37,240 --> 00:06:39,720 Speaker 1: Um jam, Before we get to any of that, what's 102 00:06:39,720 --> 00:06:43,039 Speaker 1: something from your search history that will allow us to 103 00:06:43,160 --> 00:06:46,400 Speaker 1: judge you? Oh wow, well yeah, I guess you can 104 00:06:46,480 --> 00:06:51,520 Speaker 1: judge me for this new tone on the top. Yeah, 105 00:06:52,920 --> 00:06:57,280 Speaker 1: history right here, And it says I, I have been 106 00:06:57,320 --> 00:07:02,800 Speaker 1: watching a lot of murder she out this fall. Hell yeah, 107 00:07:03,240 --> 00:07:06,800 Speaker 1: it's a lot of anxiety. Yeah it's Yeah, there's two 108 00:07:07,040 --> 00:07:09,880 Speaker 1: because I was really trying to unpack why I find 109 00:07:09,920 --> 00:07:12,800 Speaker 1: it so calming. I think it's because you can watch 110 00:07:12,800 --> 00:07:15,280 Speaker 1: an episode and everything gets solved in you know, forty 111 00:07:15,320 --> 00:07:19,680 Speaker 1: two minutes or whatever. Yeah, and you don't live where 112 00:07:19,680 --> 00:07:23,320 Speaker 1: the murder rate is the highest in the entire history 113 00:07:23,320 --> 00:07:28,600 Speaker 1: of the world of any town US a week, everyone 114 00:07:28,600 --> 00:07:30,440 Speaker 1: in that town is having an affair with everyone else. 115 00:07:30,440 --> 00:07:33,360 Speaker 1: Everyone's plotting to kill someone. It's it's the worst place 116 00:07:33,400 --> 00:07:35,679 Speaker 1: to live. But yeah, I find it's very calming. Oddly, 117 00:07:35,800 --> 00:07:40,120 Speaker 1: and also like I find like my anxiety about like 118 00:07:40,200 --> 00:07:44,120 Speaker 1: aging and mortality are oddly soothed by it. Because you 119 00:07:44,200 --> 00:07:47,880 Speaker 1: think about Angela Landsberry like she's been She's still alive 120 00:07:47,960 --> 00:07:52,080 Speaker 1: and she's been an old lady my entire life. She's 121 00:07:52,120 --> 00:07:55,640 Speaker 1: still alive. It's wild man. She even she came here 122 00:07:55,680 --> 00:07:57,560 Speaker 1: to Toronto and did like a stage show, like a 123 00:07:57,600 --> 00:07:59,440 Speaker 1: play a few years ago, and I wish I had 124 00:07:59,480 --> 00:08:03,960 Speaker 1: gone now. But Angela Asbury is still alive. Yeah, I mean, 125 00:08:04,080 --> 00:08:06,400 Speaker 1: I hope nothing happens between when we record this and 126 00:08:06,440 --> 00:08:13,040 Speaker 1: when she's Wow, wow, good on you, Angela. So yeah 127 00:08:13,120 --> 00:08:15,640 Speaker 1: that that that makes me happy. So I've been watching 128 00:08:15,640 --> 00:08:17,680 Speaker 1: British She wrote, I think I tweeted something out about it, 129 00:08:17,760 --> 00:08:22,760 Speaker 1: and someone responded, Uh, that's Angela. Lansbury's daughter used to 130 00:08:22,800 --> 00:08:26,280 Speaker 1: hang out with Charles Manson. So I googled that. That 131 00:08:26,440 --> 00:08:28,040 Speaker 1: was something that I felt I had to look into it. 132 00:08:28,120 --> 00:08:30,280 Speaker 1: It was just something she like dropped in an interview 133 00:08:30,360 --> 00:08:34,640 Speaker 1: for no reason. She just brought up like Charlie. Oh yeah, yeah, 134 00:08:34,760 --> 00:08:37,040 Speaker 1: we used to kick it with Charlie. Yeah, I remember 135 00:08:37,040 --> 00:08:39,679 Speaker 1: we were all writing songs together for a little bit. 136 00:08:40,040 --> 00:08:42,880 Speaker 1: To shame, those albums never got traction. But have you 137 00:08:42,920 --> 00:08:47,000 Speaker 1: heard those Manson family recordings. It's like shitty Beach Boys. 138 00:08:47,120 --> 00:08:50,720 Speaker 1: It's like, yeah, it's like boys written by Yeah, well 139 00:08:50,720 --> 00:08:54,320 Speaker 1: they did one of uncause he was hanging out with 140 00:08:54,360 --> 00:09:05,200 Speaker 1: one of them. Yeah Dennis. Yeah. Hey, Burt uh Or 141 00:09:05,240 --> 00:09:13,040 Speaker 1: as superproducer, called him Dennis Dennis Hazelberger. Yeah, what's funny. 142 00:09:13,080 --> 00:09:16,400 Speaker 1: How and this is a complete aside. How our idea 143 00:09:16,480 --> 00:09:19,439 Speaker 1: of Dennis Haysbert has evolved over time based on how 144 00:09:19,480 --> 00:09:23,080 Speaker 1: old you are, Like, if you're consuming eighties media, you 145 00:09:23,080 --> 00:09:25,200 Speaker 1: know him from Major League Jane. I used to just 146 00:09:25,240 --> 00:09:28,800 Speaker 1: think he was Joe Boo, not even Pedro Serrano, which 147 00:09:28,800 --> 00:09:31,800 Speaker 1: was his actual player name, but Joe Boo, the idol. 148 00:09:31,880 --> 00:09:36,240 Speaker 1: He would all kinds of funked up and problematic um. 149 00:09:36,600 --> 00:09:39,360 Speaker 1: And then after that when he was on twenty four 150 00:09:39,480 --> 00:09:41,640 Speaker 1: and I was like, oh my god, Joe Boo's working still, 151 00:09:41,800 --> 00:09:44,319 Speaker 1: And then people like Dennis Haysbert is putting in a performance, 152 00:09:44,360 --> 00:09:47,280 Speaker 1: like oh ship Dennis Haysbert. But then some people only 153 00:09:47,320 --> 00:09:51,200 Speaker 1: know him as the All State guy. Yeah, yeah, I 154 00:09:51,200 --> 00:09:54,480 Speaker 1: don't know is Dennis Haysbert. Dave Chappelle played him in 155 00:09:54,880 --> 00:09:57,440 Speaker 1: a sketch over the Weekend, which is why we were 156 00:09:57,440 --> 00:10:01,120 Speaker 1: talking about it. M hmm. Is pretty funny. He had 157 00:10:01,160 --> 00:10:04,800 Speaker 1: like a voice changer. Oh, by the way, have you 158 00:10:04,840 --> 00:10:11,480 Speaker 1: seen the original The Manchurian candidate. Lansbury is now and 159 00:10:12,640 --> 00:10:16,880 Speaker 1: very pretty, but also playing like an older woman in 160 00:10:16,960 --> 00:10:20,000 Speaker 1: for In nineteen sixty two. She's playing like it's not 161 00:10:20,080 --> 00:10:23,720 Speaker 1: like she's like a young like you know, the love interest. 162 00:10:23,840 --> 00:10:27,200 Speaker 1: She's the love interest of the older politician, and like 163 00:10:27,480 --> 00:10:30,319 Speaker 1: she really pulling the strings behind the scenes. She was 164 00:10:30,360 --> 00:10:33,440 Speaker 1: only like ten years older than Laurence Harvey, who played 165 00:10:33,440 --> 00:10:37,200 Speaker 1: her son that movie. Yeah, they still had since she 166 00:10:37,280 --> 00:10:40,960 Speaker 1: had old lady energy back then. Yeah. Oh she was 167 00:10:41,000 --> 00:10:44,120 Speaker 1: his mom, not his wife. Yeah, I think she was 168 00:10:44,160 --> 00:10:46,280 Speaker 1: his mom fild that's right, because he was like a 169 00:10:46,320 --> 00:10:52,960 Speaker 1: young soldier. Yeah, alright, what if something you think is underrated? Uh? My, 170 00:10:53,120 --> 00:10:57,480 Speaker 1: underrated and overrated are pretty like kids centric because again, 171 00:10:57,520 --> 00:11:00,280 Speaker 1: I haven't left the house, so I spend my time 172 00:11:00,280 --> 00:11:07,840 Speaker 1: with my kids. Yeah these days. Yeah, your time with 173 00:11:07,880 --> 00:11:10,680 Speaker 1: your kids? Oh my god, that's all. All of the 174 00:11:10,760 --> 00:11:14,120 Speaker 1: people I talked to now are small children, and luckily 175 00:11:14,160 --> 00:11:16,200 Speaker 1: they're super cool and I love them, so that that 176 00:11:16,240 --> 00:11:19,320 Speaker 1: worked out. But it's hard though, man, kid bring you 177 00:11:19,480 --> 00:11:21,800 Speaker 1: like when you're only hanging out with kids, like you 178 00:11:21,840 --> 00:11:25,079 Speaker 1: get kid brain. And then like, my wife was out 179 00:11:25,080 --> 00:11:27,640 Speaker 1: of town for a couple of weeks and it was 180 00:11:27,679 --> 00:11:30,640 Speaker 1: just me and my kids, and like I when I 181 00:11:30,640 --> 00:11:33,800 Speaker 1: would get back around adults, I would be like just 182 00:11:34,120 --> 00:11:38,960 Speaker 1: in it, incapable of like saying anything like that made sense, 183 00:11:39,320 --> 00:11:43,439 Speaker 1: or I was just like on a different wavelengthedback from 184 00:11:43,440 --> 00:11:45,680 Speaker 1: the episodes the last couple of weeks. Yeah, the baby 185 00:11:45,720 --> 00:11:49,840 Speaker 1: talk was not popular. Yeah, yeah, I find sometimes like 186 00:11:49,880 --> 00:11:52,400 Speaker 1: I'll just say, like I'll just say to a friend 187 00:11:52,480 --> 00:11:55,360 Speaker 1: or even my wife, I'll accidentally call them buddy, I 188 00:11:55,400 --> 00:11:59,880 Speaker 1: can't happen to try this buddy anyway. Well, and it 189 00:12:00,040 --> 00:12:03,440 Speaker 1: was for my underrated I was I put I I 190 00:12:03,600 --> 00:12:07,800 Speaker 1: found in my old room in my parents house. I 191 00:12:07,840 --> 00:12:11,000 Speaker 1: found my old Waldo books. Where's Waldo? Yeah, so I 192 00:12:11,040 --> 00:12:15,200 Speaker 1: brought those home. Kids love them and I found them 193 00:12:15,320 --> 00:12:17,880 Speaker 1: very again. Again, a lot of these things are about 194 00:12:17,880 --> 00:12:20,840 Speaker 1: like alleviating anxiety for some reason. But like I I 195 00:12:20,880 --> 00:12:23,560 Speaker 1: got into them too. I found it very like stress 196 00:12:23,640 --> 00:12:26,079 Speaker 1: relieving to like just sit there for a few minutes 197 00:12:26,080 --> 00:12:29,560 Speaker 1: and try to find Waldo. Yeah, and you know you 198 00:12:29,600 --> 00:12:32,400 Speaker 1: don't have to only find Waldo. You can go deep 199 00:12:32,720 --> 00:12:37,680 Speaker 1: as a as a where's Waldo stand from a couple 200 00:12:37,720 --> 00:12:41,000 Speaker 1: of months ago. Actually, there's like lists of things for 201 00:12:41,040 --> 00:12:43,480 Speaker 1: you to look for, so you like, once you find Waldo, 202 00:12:43,559 --> 00:12:48,200 Speaker 1: it's not over. You can still explore. Um, yeah, you 203 00:12:48,200 --> 00:12:50,080 Speaker 1: can find a guy in the grassy knoll, you know, 204 00:12:50,160 --> 00:12:51,920 Speaker 1: and all that kind of stuff. That's why that's about 205 00:12:51,960 --> 00:12:55,280 Speaker 1: those books. I remember. It's funny that you mentioned that 206 00:12:55,360 --> 00:12:59,040 Speaker 1: because I remember, like the when I was like eighteen 207 00:12:59,160 --> 00:13:01,240 Speaker 1: or something, I'd pick up one of my old Wears 208 00:13:01,280 --> 00:13:03,240 Speaker 1: Waldo things that I hadn't maybe looked at, so I 209 00:13:03,320 --> 00:13:06,440 Speaker 1: was like six, And it's amazing how immediately like you 210 00:13:06,480 --> 00:13:09,360 Speaker 1: remember the ones you really like the one I think 211 00:13:09,400 --> 00:13:12,080 Speaker 1: I wears like the first second Wears Waldo book, but 212 00:13:12,080 --> 00:13:14,319 Speaker 1: there's like a beach one that I'm like, oh, this 213 00:13:14,360 --> 00:13:17,040 Speaker 1: was my favorite one to stare at for whatever reason. 214 00:13:17,360 --> 00:13:19,079 Speaker 1: And I remember how I memory. At a certain point, 215 00:13:19,120 --> 00:13:22,040 Speaker 1: you begin to memorize vaguely where Waldo was every time 216 00:13:22,080 --> 00:13:23,679 Speaker 1: you opened it as a kid, so they would kind 217 00:13:23,679 --> 00:13:27,280 Speaker 1: of become less stimulating. I remember one time some asshole 218 00:13:27,640 --> 00:13:30,319 Speaker 1: circled Waldo in my book and I almost beat this 219 00:13:30,400 --> 00:13:32,280 Speaker 1: motherfucker to death with the book because I was I 220 00:13:32,320 --> 00:13:35,719 Speaker 1: was like, you, fuck, do not desecrate this book by 221 00:13:35,760 --> 00:13:38,160 Speaker 1: marking where he is. That's the fucking fun or else 222 00:13:38,200 --> 00:13:41,200 Speaker 1: it's it's useless now. And I ripped the sheet out 223 00:13:41,360 --> 00:13:43,439 Speaker 1: and I was crying. I was a mess man. But 224 00:13:43,480 --> 00:13:45,800 Speaker 1: I'll leave my fucking Walado books along and I'm sorry 225 00:13:45,800 --> 00:13:50,920 Speaker 1: I brought that up now. Um yeah that was. I 226 00:13:51,280 --> 00:13:55,160 Speaker 1: feel like, so your kids are yelling right like there? Yeah, 227 00:13:55,240 --> 00:13:58,920 Speaker 1: ones five and ones too. Yeah. I now feel very 228 00:13:58,960 --> 00:14:01,080 Speaker 1: stupid because I think I still looking at that, like 229 00:14:01,120 --> 00:14:04,360 Speaker 1: I can picture the bedroom that I was in when 230 00:14:04,400 --> 00:14:06,920 Speaker 1: I was looking at them, and that I was in 231 00:14:06,960 --> 00:14:09,840 Speaker 1: that bedroom from like when I was eight until when 232 00:14:09,840 --> 00:14:14,960 Speaker 1: I was like, uh, hey, some of those are hard, man, 233 00:14:15,840 --> 00:14:18,120 Speaker 1: they are, you know, I was. I was doing the 234 00:14:18,280 --> 00:14:22,440 Speaker 1: mentor Wears a Wall though. The difference between the first 235 00:14:22,440 --> 00:14:25,360 Speaker 1: one and like the third and fourth one is crazy, 236 00:14:25,520 --> 00:14:28,600 Speaker 1: Like I was legitimately having trouble with the later ones. 237 00:14:28,640 --> 00:14:30,600 Speaker 1: He's like, you know, he could see like a sliver 238 00:14:30,720 --> 00:14:32,520 Speaker 1: of his head in this crowd, and the first one 239 00:14:32,560 --> 00:14:35,280 Speaker 1: he's just like, you know, like two inches tall and 240 00:14:36,120 --> 00:14:39,720 Speaker 1: just like walking down the street with his like walking cane. 241 00:14:39,920 --> 00:14:41,920 Speaker 1: Or then they do the ones where like someone would 242 00:14:41,960 --> 00:14:44,080 Speaker 1: have his hat on and you're like, the more it's 243 00:14:44,080 --> 00:14:48,120 Speaker 1: just somebody in his fucking outfit. Uh, throwing decoys into 244 00:14:48,120 --> 00:14:53,200 Speaker 1: the mix. Yeah, what is something you think is overrated? Yeah? 245 00:14:53,240 --> 00:14:56,640 Speaker 1: Overrated in the same vein of stuff I've been doing 246 00:14:56,720 --> 00:15:00,560 Speaker 1: with my kids. Uh. Someone gave my and an etch 247 00:15:00,600 --> 00:15:07,360 Speaker 1: a sketch recently and I remembered it very nostalgically from 248 00:15:07,400 --> 00:15:11,280 Speaker 1: being a kid, and it sucks. It's a useless product 249 00:15:11,600 --> 00:15:14,280 Speaker 1: that you can't draw good pictures with it. If you 250 00:15:14,360 --> 00:15:17,840 Speaker 1: do somehow managed to twist the knobs into making a 251 00:15:17,840 --> 00:15:21,280 Speaker 1: good picture, like, you can never save it. Someone will 252 00:15:21,360 --> 00:15:23,640 Speaker 1: jostle it and it will be gone forever. And my 253 00:15:23,720 --> 00:15:25,480 Speaker 1: kids have no interest in it either. Because I try 254 00:15:25,520 --> 00:15:28,960 Speaker 1: to explain why, they say, what do you what do 255 00:15:28,960 --> 00:15:30,240 Speaker 1: you do with it? And I say, well, it's like 256 00:15:30,360 --> 00:15:33,400 Speaker 1: drawing with a piece of paper and a crayon, except 257 00:15:33,520 --> 00:15:36,840 Speaker 1: it's worse than it's harder, and there's no applications for 258 00:15:36,880 --> 00:15:39,000 Speaker 1: it in the real world, like you're tuning a shitty 259 00:15:39,120 --> 00:15:43,120 Speaker 1: radio and yeah, that's it. It's like it's good for 260 00:15:43,160 --> 00:15:47,000 Speaker 1: about like maybe one I remembers, because I had one too, 261 00:15:47,400 --> 00:15:49,440 Speaker 1: and I only could work with it for maybe one 262 00:15:49,520 --> 00:15:52,960 Speaker 1: minute before I became so frustrated that I could not 263 00:15:53,120 --> 00:15:55,480 Speaker 1: actually do what I thought I was able to do. 264 00:15:55,600 --> 00:15:58,280 Speaker 1: Like because you have to really have like to be 265 00:15:58,320 --> 00:16:00,360 Speaker 1: able to make sense of those knobs and how they're 266 00:16:00,400 --> 00:16:03,160 Speaker 1: moving to like actually draw something. Half the time I 267 00:16:03,280 --> 00:16:05,280 Speaker 1: just twist them in circles and make wild ship, and 268 00:16:05,280 --> 00:16:06,960 Speaker 1: then I would just like twist the knobs to like 269 00:16:07,040 --> 00:16:14,640 Speaker 1: their like endpoint and liken it was gone. I was angry. Yeah, 270 00:16:14,840 --> 00:16:17,440 Speaker 1: I was a knob boy growing up. I love some 271 00:16:17,840 --> 00:16:21,160 Speaker 1: I love a good knob game The Labyrinth, and even 272 00:16:21,240 --> 00:16:24,480 Speaker 1: I didn't really funk with that just go yeah, knob City. 273 00:16:24,520 --> 00:16:26,680 Speaker 1: But there are definitely people who are into it, but 274 00:16:26,720 --> 00:16:29,920 Speaker 1: I feel like it's older people who are like really artistic, 275 00:16:30,000 --> 00:16:32,280 Speaker 1: and it's they're into it for the same reason that 276 00:16:32,360 --> 00:16:35,400 Speaker 1: like knitting is like soothing, where it's just like it 277 00:16:35,440 --> 00:16:37,880 Speaker 1: makes it gives you an extra challenge to like do 278 00:16:38,000 --> 00:16:41,440 Speaker 1: something fun and artistic. But like I, yeah, I never 279 00:16:41,600 --> 00:16:44,120 Speaker 1: got the I got the point of that ship. When 280 00:16:44,160 --> 00:16:48,080 Speaker 1: I was younger, Did you play the Labyrinth game a lot? Yeah? Yeah, 281 00:16:48,080 --> 00:16:50,240 Speaker 1: I was real in the Labyrinth, I could go to 282 00:16:50,280 --> 00:16:53,040 Speaker 1: the end and back like four times because that used 283 00:16:53,040 --> 00:16:56,080 Speaker 1: like a similar skill set where you're sort of deciding 284 00:16:56,080 --> 00:16:58,760 Speaker 1: those planes based on the knobs. But that was always 285 00:16:58,760 --> 00:17:01,200 Speaker 1: easier for me to like put a time into versus 286 00:17:01,280 --> 00:17:03,400 Speaker 1: like because I was I'm not good at drawing anyway. 287 00:17:03,520 --> 00:17:06,520 Speaker 1: It just it was a reminder of how unlike lack 288 00:17:06,560 --> 00:17:09,760 Speaker 1: of how little talent I had in that department. Yeah, well, 289 00:17:09,800 --> 00:17:12,040 Speaker 1: I'm sorry I brought that up to That's fine. It's 290 00:17:12,080 --> 00:17:15,480 Speaker 1: just not as easy as they look. Man, They're not 291 00:17:15,520 --> 00:17:17,960 Speaker 1: as easy as they look. That's right. All right. Let's 292 00:17:18,000 --> 00:17:21,880 Speaker 1: talk about some really good news that just hit. So 293 00:17:22,640 --> 00:17:27,160 Speaker 1: Fiser announced that they got their early results back from 294 00:17:27,200 --> 00:17:33,080 Speaker 1: their vaccine trials, and early numbers suggest that this vaccine 295 00:17:33,119 --> 00:17:39,159 Speaker 1: they're working on is effective, um, which is apparently good news. 296 00:17:39,640 --> 00:17:42,880 Speaker 1: Dr Fauci was like, hell, yeah, so that's that's how 297 00:17:42,920 --> 00:17:44,439 Speaker 1: I knew it was good news. But then like I 298 00:17:44,480 --> 00:17:47,440 Speaker 1: did a little bit more research. The flu shot is 299 00:17:47,480 --> 00:17:52,600 Speaker 1: apparently between like forty and sixty effective based on like 300 00:17:52,680 --> 00:17:55,920 Speaker 1: whatever year, uh you you get it, because they're having 301 00:17:55,920 --> 00:17:58,840 Speaker 1: to like rejigger it too, you know, apply to that 302 00:17:59,000 --> 00:18:04,600 Speaker 1: year's strain of influenza. And then like the vaccines that 303 00:18:04,920 --> 00:18:09,159 Speaker 1: actually eradicate diseases like polio and measles are like in 304 00:18:09,200 --> 00:18:12,879 Speaker 1: the nineties that are like polio was ninety for two doses. 305 00:18:13,280 --> 00:18:19,920 Speaker 1: Measles is effective. So like that's that's pretty promising numbers, 306 00:18:20,080 --> 00:18:23,760 Speaker 1: pretty exciting. Yeah, so as long as scientists are excited, 307 00:18:24,119 --> 00:18:26,600 Speaker 1: you know, yeah, yeah, it seems like scientists are excited, 308 00:18:27,400 --> 00:18:31,199 Speaker 1: just like what's the what's the science excitement meters say 309 00:18:31,440 --> 00:18:35,440 Speaker 1: the So the lab that kind of made the breakthrough 310 00:18:35,560 --> 00:18:41,600 Speaker 1: is called byon Tech, which sounds very uh, scary and 311 00:18:41,640 --> 00:18:46,200 Speaker 1: like dystopian, but they were funded by the German government 312 00:18:46,640 --> 00:18:53,280 Speaker 1: and a European investment bank. Um, so that's the Trump 313 00:18:53,280 --> 00:18:56,919 Speaker 1: administration obviously has jumped on ble see Operation warp Speed 314 00:18:57,040 --> 00:19:02,760 Speaker 1: where the the speediest um fucking really trying to I 315 00:19:02,800 --> 00:19:05,119 Speaker 1: don't know what they're trying to they It's like I 316 00:19:05,160 --> 00:19:07,080 Speaker 1: don't understand. I mean, this is this all this would 317 00:19:07,080 --> 00:19:08,520 Speaker 1: have happened because of Trump And I don't know when 318 00:19:08,560 --> 00:19:10,320 Speaker 1: I's talking about that, because this is all that we 319 00:19:10,320 --> 00:19:13,479 Speaker 1: should all be thinking Trump right now. But they're really, really, 320 00:19:13,680 --> 00:19:16,879 Speaker 1: really trying to comment heer this development to try and 321 00:19:16,920 --> 00:19:20,399 Speaker 1: be like you see and that's why he is should 322 00:19:20,440 --> 00:19:22,800 Speaker 1: have been elected. I don't know, it's too late now, 323 00:19:22,880 --> 00:19:24,879 Speaker 1: no matter what they think, they're trying to say, like 324 00:19:24,920 --> 00:19:30,040 Speaker 1: you're not yeah right, there's no vaccine now, guys. Oh 325 00:19:30,160 --> 00:19:32,560 Speaker 1: interesting well, I guess, uh, I guess we'll just go 326 00:19:32,640 --> 00:19:35,840 Speaker 1: with our vaccine. Then yeah, we'll go with hours, which 327 00:19:35,840 --> 00:19:39,080 Speaker 1: will be better. Fiser specifically came out was like they 328 00:19:39,119 --> 00:19:41,359 Speaker 1: they had nothing to do. We had nothing to do 329 00:19:41,440 --> 00:19:46,160 Speaker 1: with Operation Warp Speed. Um, but Pens trying to say 330 00:19:46,200 --> 00:19:50,440 Speaker 1: he did, wasn't they were responding to him? Right? Yeah, specifically, 331 00:19:50,480 --> 00:19:54,120 Speaker 1: I think he came out and was like, you're welcome America. Dude, 332 00:19:54,400 --> 00:19:58,000 Speaker 1: shut up my Pens out of here. I want to 333 00:19:58,040 --> 00:20:03,600 Speaker 1: hear from you. I miss my way. Um yea that ship. 334 00:20:04,920 --> 00:20:08,560 Speaker 1: But yeah, Fox on Fox and Friends, I mean Fox, 335 00:20:08,600 --> 00:20:12,679 Speaker 1: They're still I the only self cabin doing is watching 336 00:20:12,720 --> 00:20:19,160 Speaker 1: one American News and Fox, because I don't know why. 337 00:20:19,280 --> 00:20:22,240 Speaker 1: That's been the thing that's only made me smile is 338 00:20:22,280 --> 00:20:25,760 Speaker 1: to be like, y'all are you've truly you through everything 339 00:20:25,840 --> 00:20:28,360 Speaker 1: except the kitchen sink. You're through that now and you're 340 00:20:28,359 --> 00:20:32,080 Speaker 1: still grasping your ship trying to make sense of reality. Um. 341 00:20:32,119 --> 00:20:36,719 Speaker 1: But on Monday morning, Charles Paine, who's you know, just 342 00:20:36,840 --> 00:20:39,280 Speaker 1: he's on making money on Fox Business. He was talking 343 00:20:39,280 --> 00:20:42,400 Speaker 1: to ainsle air Heart on uh Fox and Friends. And 344 00:20:42,960 --> 00:20:45,879 Speaker 1: you know, because it's Fox, everything has to be some 345 00:20:45,960 --> 00:20:48,680 Speaker 1: kind of grievance or older. The president was actually smart 346 00:20:48,720 --> 00:20:50,600 Speaker 1: the whole time. As the air Heart just sort of 347 00:20:50,600 --> 00:20:53,359 Speaker 1: starts off by being like, again, oh so they're announcing 348 00:20:53,400 --> 00:20:57,439 Speaker 1: this now, um after but okay, well and she she 349 00:20:57,520 --> 00:21:01,119 Speaker 1: posits the question is the timing curious? Are you finding 350 00:21:01,160 --> 00:21:03,400 Speaker 1: the timing curious? We had an election a week ago. 351 00:21:06,640 --> 00:21:09,440 Speaker 1: I am finding the timing curious. It's frustrating, you know, 352 00:21:09,480 --> 00:21:13,000 Speaker 1: it's so interesting. I was watching, you know, talkling around 353 00:21:13,000 --> 00:21:15,520 Speaker 1: TV yesterday, you know, watching a couple of games or whatever, 354 00:21:15,760 --> 00:21:17,960 Speaker 1: and I saw a commercial for sixty minutes and they said, 355 00:21:17,960 --> 00:21:21,080 Speaker 1: we're gonna going to the military's Operation Warped meet the 356 00:21:21,240 --> 00:21:26,240 Speaker 1: Military's they're they're they're actually operating it. In fact, at 357 00:21:26,240 --> 00:21:28,399 Speaker 1: the end at that it has the President Trump. And 358 00:21:28,440 --> 00:21:31,040 Speaker 1: then then as an article this morning before this came out, 359 00:21:31,080 --> 00:21:34,840 Speaker 1: that was the shifting sort of Operation warp Speed to Biden. Now, 360 00:21:35,080 --> 00:21:38,399 Speaker 1: the Washington Post Biden Advisors met was sharp with the 361 00:21:38,480 --> 00:21:41,480 Speaker 1: Warp Speed the drugmakers before the election. But what I 362 00:21:41,520 --> 00:21:43,880 Speaker 1: thought was intriguing is on the Biden website it says 363 00:21:43,920 --> 00:21:47,919 Speaker 1: Operation Warp Speed lacks a strategy to see its mission 364 00:21:47,960 --> 00:21:50,639 Speaker 1: through and gain the trust of Americans. Well, I wonder 365 00:21:50,680 --> 00:21:52,639 Speaker 1: what they're gonna say today. They're gonna tell people not 366 00:21:52,720 --> 00:21:56,400 Speaker 1: to take this vaccine. The fights they're saying, it's nine effective, 367 00:21:56,720 --> 00:21:59,840 Speaker 1: it has nothing to do with operations speeding like that, 368 00:22:00,080 --> 00:22:02,879 Speaker 1: what what are you doing? He met with people in 369 00:22:02,960 --> 00:22:06,680 Speaker 1: it and now he's saying, but he said it wasn't good. Yeah, 370 00:22:06,800 --> 00:22:10,320 Speaker 1: this guy is transitioning into power, so he's trying to 371 00:22:10,359 --> 00:22:13,520 Speaker 1: see what the funk is going on. Yeah, so also 372 00:22:13,560 --> 00:22:19,600 Speaker 1: but effective, So if so facto operation warp speed is effective, 373 00:22:19,960 --> 00:22:23,879 Speaker 1: now just supposing for a moment, and this is I know, 374 00:22:23,960 --> 00:22:27,119 Speaker 1: gonna I'm asking you guys to trem wrap your mind 375 00:22:27,119 --> 00:22:30,840 Speaker 1: around a reality where the deep state and corporations aren't 376 00:22:31,240 --> 00:22:33,800 Speaker 1: trying to take Trump down from the inside. But like, 377 00:22:33,920 --> 00:22:38,320 Speaker 1: even then, I feel like it would almost be excusable 378 00:22:38,440 --> 00:22:43,560 Speaker 1: for them to hold off on announcing a successful vaccine 379 00:22:43,720 --> 00:22:46,920 Speaker 1: until it like would no longer be associated with him 380 00:22:47,000 --> 00:22:50,480 Speaker 1: because he's been so anti scientific and it's going to 381 00:22:50,520 --> 00:22:54,080 Speaker 1: be a struggle to get people to take this vaccine. 382 00:22:54,440 --> 00:22:57,840 Speaker 1: Like yeah, because it's not just about developing the vaccine, 383 00:22:57,840 --> 00:23:01,199 Speaker 1: it's about like the implementation of it, the distribution of it. 384 00:23:01,359 --> 00:23:04,399 Speaker 1: So yeah, like I mean, like you said, like so 385 00:23:04,480 --> 00:23:07,159 Speaker 1: much of it is about how many people will take it, 386 00:23:07,280 --> 00:23:09,960 Speaker 1: about you know, making sure that it's effective. So yeah, 387 00:23:10,040 --> 00:23:14,560 Speaker 1: having having like a future where someone who won't totally 388 00:23:14,560 --> 00:23:18,560 Speaker 1: fuck it up, we'll be in power is seems key 389 00:23:18,640 --> 00:23:22,560 Speaker 1: to that message that they're trying to send. Yeah. Yeah, 390 00:23:22,720 --> 00:23:24,760 Speaker 1: And so many people are like, you know, the razor 391 00:23:24,840 --> 00:23:28,360 Speaker 1: thin margins Joe Biden won by would have been completely 392 00:23:28,400 --> 00:23:31,960 Speaker 1: erased had this been announced just one week sooner. And 393 00:23:32,000 --> 00:23:36,119 Speaker 1: it's like they're not razor thin, uh object the numbers. 394 00:23:36,200 --> 00:23:38,200 Speaker 1: I don't know what kind of razors y'all are looking at, 395 00:23:38,680 --> 00:23:41,239 Speaker 1: but these are pretty thick, daddy. And even like the 396 00:23:41,280 --> 00:23:43,960 Speaker 1: way the head of research or the VP and charge 397 00:23:43,960 --> 00:23:49,880 Speaker 1: of like vaccinations at fires was like unequival, He's like unequivocal. 398 00:23:50,359 --> 00:23:52,639 Speaker 1: She was saying, we've never been part of it, and 399 00:23:52,680 --> 00:23:55,359 Speaker 1: we've never taken a dime from the US government or 400 00:23:55,440 --> 00:23:57,880 Speaker 1: from anyone to even suggest we'd be part of it. 401 00:23:57,760 --> 00:23:59,720 Speaker 1: And it wasn't just like no, that didn't happen. It's like, 402 00:24:00,119 --> 00:24:02,360 Speaker 1: do you understand how that program worked? Right? Like we 403 00:24:02,359 --> 00:24:05,760 Speaker 1: weren't anyway, So there. I think I think they did 404 00:24:05,800 --> 00:24:08,719 Speaker 1: walk that back a bit later because they said that 405 00:24:08,800 --> 00:24:13,600 Speaker 1: the US government did pay for like the future, like distribution, 406 00:24:13,720 --> 00:24:17,160 Speaker 1: like buying supplies. The Canada done that too, like people. Yeah, 407 00:24:17,400 --> 00:24:19,560 Speaker 1: it's like, it's not they didn't fund them at all 408 00:24:19,600 --> 00:24:21,840 Speaker 1: in terms of like they're testing or their research that 409 00:24:21,960 --> 00:24:26,160 Speaker 1: was all independently financed or financed by themselves. That's fine stuff. 410 00:24:26,160 --> 00:24:30,840 Speaker 1: The overpriced drugs, the other drugs they make that are overpriced, yeah, whatever, 411 00:24:30,880 --> 00:24:36,000 Speaker 1: other shady ship right that they have billions of dollars. 412 00:24:36,040 --> 00:24:39,199 Speaker 1: So the way the trials worked was actually easier to 413 00:24:39,240 --> 00:24:41,800 Speaker 1: get your head around than I would have expected. Are 414 00:24:41,840 --> 00:24:44,480 Speaker 1: easier to get my head around. So they've they've given 415 00:24:44,960 --> 00:24:48,679 Speaker 1: the trial in both forty three thousand people, and half 416 00:24:48,720 --> 00:24:52,439 Speaker 1: of them are given this new vaccine, uh, and half 417 00:24:52,480 --> 00:24:55,600 Speaker 1: of them are given a placebo for the men in 418 00:24:55,680 --> 00:24:59,359 Speaker 1: jadis vaccine and neither they nor their doctors no, which 419 00:24:59,680 --> 00:25:04,240 Speaker 1: is it? Right? And then since then nine people who 420 00:25:04,400 --> 00:25:07,280 Speaker 1: were involved in the study have become infected with COVID 421 00:25:07,359 --> 00:25:13,000 Speaker 1: nineteen and of them are from the placebo group. So 422 00:25:13,080 --> 00:25:17,080 Speaker 1: that's where the number comes from, is that the people 423 00:25:17,359 --> 00:25:21,360 Speaker 1: who got the actual vaccine were more likely to not 424 00:25:21,800 --> 00:25:26,720 Speaker 1: come down with COVID mhmm. So there you go. That's 425 00:25:26,720 --> 00:25:29,400 Speaker 1: how I saw a video on TikTok where a cute 426 00:25:29,440 --> 00:25:31,880 Speaker 1: blonde woman was saying the microchip was going to get 427 00:25:31,880 --> 00:25:35,760 Speaker 1: into you, and she was crying, and then apparently some 428 00:25:35,880 --> 00:25:38,440 Speaker 1: off camera government goons were beating her up. Did you 429 00:25:38,440 --> 00:25:40,800 Speaker 1: see the video where she's singing along to this song? 430 00:25:40,880 --> 00:25:45,480 Speaker 1: Of course it's wow? Uh? And yeah, that's it to 431 00:25:45,520 --> 00:25:48,520 Speaker 1: your point, I don't even know how if his own 432 00:25:48,560 --> 00:25:52,800 Speaker 1: supporters believe like he's he's the boy who cried hoax 433 00:25:52,920 --> 00:25:57,159 Speaker 1: so many goddamn times, nobody knows anything anymore. Like it 434 00:25:57,240 --> 00:26:00,320 Speaker 1: truly was like is it mailan or is the alien 435 00:26:00,400 --> 00:26:02,359 Speaker 1: vote fucked? So I don't do that, and then the 436 00:26:02,440 --> 00:26:05,080 Speaker 1: vaccine is no good? But then I don't but you, 437 00:26:05,200 --> 00:26:08,840 Speaker 1: but I gotta give you credit because you saved us. Uh. 438 00:26:08,880 --> 00:26:12,240 Speaker 1: He seems kind of incapable of the sort of leadership 439 00:26:12,280 --> 00:26:14,879 Speaker 1: that they say, like you are supposed to have during 440 00:26:15,080 --> 00:26:18,679 Speaker 1: a global pandemic, is just steady staying on the same 441 00:26:18,680 --> 00:26:25,400 Speaker 1: message and then like deferring to the scientists and the doctors. Uh. 442 00:26:25,440 --> 00:26:28,280 Speaker 1: And since he's incapable of that, I feel like this 443 00:26:28,359 --> 00:26:33,040 Speaker 1: is in better hands with almost literally any other politician, 444 00:26:33,200 --> 00:26:37,600 Speaker 1: but definitely a new administration. All right, let's take a 445 00:26:37,640 --> 00:26:52,399 Speaker 1: quick break. We'll come back, and we're back. So Trump 446 00:26:52,480 --> 00:26:55,600 Speaker 1: is out here throwing grenades right out the right out 447 00:26:55,640 --> 00:26:59,760 Speaker 1: of the gate. He's uh, he fired his secretary of Defense, 448 00:26:59,840 --> 00:27:06,040 Speaker 1: right yeah, just out fucking tweet on Monday morning. I 449 00:27:06,080 --> 00:27:08,800 Speaker 1: am pleased to announce that Christopher C. Miller, the highly 450 00:27:08,840 --> 00:27:12,680 Speaker 1: respected director of the National counter Terrorism Center, unanimously confirmed 451 00:27:12,680 --> 00:27:15,960 Speaker 1: by the Senate Senate. We'll be acting Secretary of Defense, 452 00:27:16,000 --> 00:27:19,800 Speaker 1: effective immediately. Chris will do a great job. Mark Esper 453 00:27:19,920 --> 00:27:22,359 Speaker 1: has been terminated. I would like to thank him for 454 00:27:22,400 --> 00:27:25,480 Speaker 1: his service. Um. I think we knew this was good. 455 00:27:25,840 --> 00:27:29,320 Speaker 1: Everyone was like the second Mark Esper didn't like fully 456 00:27:29,359 --> 00:27:33,480 Speaker 1: go along with the Black Lives Matter like troop goon 457 00:27:33,640 --> 00:27:37,120 Speaker 1: squad in the streets sort of strategy that I think 458 00:27:37,160 --> 00:27:40,879 Speaker 1: the countdown clock began because he was basically saying like, yeah, 459 00:27:40,920 --> 00:27:44,159 Speaker 1: and my capacity is this fucking Secretary of Defense. I 460 00:27:44,200 --> 00:27:47,120 Speaker 1: do not think US troops should be in the streets 461 00:27:47,119 --> 00:27:49,959 Speaker 1: to put down protests. I don't think that's the function 462 00:27:50,000 --> 00:27:53,200 Speaker 1: of the military as I know it. Uh So, now 463 00:27:53,400 --> 00:27:56,480 Speaker 1: it seems like everyone's like, Okay, well who's next, and 464 00:27:56,560 --> 00:27:59,840 Speaker 1: the money is on Christopher Ray at the FBI and 465 00:28:00,080 --> 00:28:04,920 Speaker 1: Gina has spool at the CIA, so next yeah, yeah, 466 00:28:04,960 --> 00:28:07,719 Speaker 1: if he's going to do more impulse firings or whatever, 467 00:28:07,880 --> 00:28:09,920 Speaker 1: just whatever he thinks he's going to get out of it. 468 00:28:10,440 --> 00:28:13,040 Speaker 1: Aside from there a chance that it's not impulse and 469 00:28:13,119 --> 00:28:16,119 Speaker 1: that it's like part of a plan to install people 470 00:28:16,200 --> 00:28:20,760 Speaker 1: who will allow him to you know, do some military 471 00:28:21,080 --> 00:28:22,960 Speaker 1: of course, and then it's just but then a lot 472 00:28:23,000 --> 00:28:26,720 Speaker 1: of people are like everyone's so deflated in that machine 473 00:28:26,880 --> 00:28:29,160 Speaker 1: that yeah, you're going to get there, and there's there's 474 00:28:29,280 --> 00:28:33,119 Speaker 1: clearly some fans of the president that are in positions 475 00:28:33,119 --> 00:28:35,719 Speaker 1: of power that are willing to completely fucking dig their 476 00:28:35,760 --> 00:28:38,360 Speaker 1: heels and ship. But yeah, I don't know, it's like 477 00:28:38,400 --> 00:28:41,080 Speaker 1: so hard. He always has a there's always some plan 478 00:28:41,240 --> 00:28:44,280 Speaker 1: to do something with this guy, and then it's always 479 00:28:44,320 --> 00:28:47,400 Speaker 1: like the shittiest version of it. Like even again with 480 00:28:47,480 --> 00:28:51,520 Speaker 1: the total Landscaping four season thing, like one of the 481 00:28:51,520 --> 00:28:54,560 Speaker 1: guys was a literal sex offender who was one of 482 00:28:54,560 --> 00:28:59,440 Speaker 1: the witnesses. He wasn't from Philadelphia either he was New 483 00:28:59,480 --> 00:29:02,320 Speaker 1: Jersey or something. He's from New Jersey and he's ran 484 00:29:02,640 --> 00:29:06,880 Speaker 1: like he's had unsuccessful runs for office in New Jersey before, 485 00:29:07,200 --> 00:29:09,480 Speaker 1: and it's like they're like like this is where like 486 00:29:09,680 --> 00:29:14,840 Speaker 1: they're at. So so the total landscaping thing was them 487 00:29:14,880 --> 00:29:17,720 Speaker 1: being like, we have witnesses to election fraud, and here's 488 00:29:17,720 --> 00:29:20,040 Speaker 1: a witness and people looked into it and they're like, yo, 489 00:29:20,200 --> 00:29:23,880 Speaker 1: this man is a straight up sex offender almost four 490 00:29:24,000 --> 00:29:28,000 Speaker 1: years um for like lewdness and endangering the welfare over 491 00:29:28,000 --> 00:29:31,800 Speaker 1: a minor and like exposing himself to kids, like like 492 00:29:31,840 --> 00:29:34,440 Speaker 1: that was the person. They're like, this, this is our 493 00:29:35,120 --> 00:29:38,400 Speaker 1: witness to to fucking ballate fraud. Our last stand is 494 00:29:38,440 --> 00:29:41,960 Speaker 1: gonna be a sex offender speaking in the back of 495 00:29:42,000 --> 00:29:51,040 Speaker 1: an alley next to a sex store crematorium. That sex 496 00:29:51,080 --> 00:29:54,800 Speaker 1: store is like doing really well. Apparently they I went 497 00:29:54,840 --> 00:29:58,280 Speaker 1: to their Facebook and they're thrilled with the publicity. So 498 00:29:59,000 --> 00:30:02,080 Speaker 1: there's a silver lining to the story. The Ritz Carlton 499 00:30:02,640 --> 00:30:07,680 Speaker 1: dildo Shop. I think it's called all right, let's uh, 500 00:30:07,760 --> 00:30:10,280 Speaker 1: let's talk about just where what we're looking at for 501 00:30:10,280 --> 00:30:15,240 Speaker 1: this transition. There is a g S A official g 502 00:30:15,520 --> 00:30:18,640 Speaker 1: S A stands for I'm gonna act like I'm quizzing 503 00:30:18,640 --> 00:30:20,560 Speaker 1: you guys, even though I just don't know what it's come. 504 00:30:22,040 --> 00:30:30,240 Speaker 1: General Services Administration got it. So they're not releasing the 505 00:30:30,320 --> 00:30:34,880 Speaker 1: funds for Biden to start putting his transition team together 506 00:30:35,280 --> 00:30:38,440 Speaker 1: there on the on the Trump train of none of 507 00:30:38,440 --> 00:30:42,360 Speaker 1: this is happening Trump one, how dare you ha ha 508 00:30:42,600 --> 00:30:48,040 Speaker 1: ha ha ha ha. In other words, um, just you know, 509 00:30:48,280 --> 00:30:53,080 Speaker 1: not not uh engaging with that reality. Um. We were 510 00:30:53,160 --> 00:30:59,240 Speaker 1: talking about how like they're the presidents who have lost 511 00:31:00,200 --> 00:31:04,800 Speaker 1: re election, the incumbents who have lost reelection in our 512 00:31:04,960 --> 00:31:08,280 Speaker 1: lifetime or just one right, it's just George H. W. 513 00:31:08,440 --> 00:31:14,960 Speaker 1: Bush um and one term area. Yeah, And he was 514 00:31:15,400 --> 00:31:18,640 Speaker 1: able to like he really went out of his way 515 00:31:18,680 --> 00:31:21,280 Speaker 1: to be like, look, we're gonna like do the right thing. 516 00:31:21,400 --> 00:31:23,920 Speaker 1: We're gonna like be above the fray all this ship, 517 00:31:24,680 --> 00:31:27,880 Speaker 1: and like that's kind of what you need because people 518 00:31:28,120 --> 00:31:31,240 Speaker 1: are like the people in the administration. Do you remember 519 00:31:31,280 --> 00:31:34,800 Speaker 1: the story of when after the second term of the 520 00:31:34,800 --> 00:31:39,000 Speaker 1: Clinton administration, when the George W. Bush administration was coming 521 00:31:39,000 --> 00:31:42,560 Speaker 1: in the Clinton administration like removed all the w's from 522 00:31:42,560 --> 00:31:48,240 Speaker 1: the keyboards as like a fuck you, yeah, which is 523 00:31:48,280 --> 00:31:50,800 Speaker 1: like people are petty and like if you don't have 524 00:31:51,160 --> 00:31:55,200 Speaker 1: a leader who's like out front being like yo, like 525 00:31:55,280 --> 00:31:59,880 Speaker 1: the this is how democracy works, then like knock it off. Yea, 526 00:32:00,200 --> 00:32:02,760 Speaker 1: then this is going We're going to have a complete 527 00:32:02,800 --> 00:32:08,120 Speaker 1: ship show, which I think, yeah, And this woman who's 528 00:32:08,160 --> 00:32:11,760 Speaker 1: running General Service g s A, she's she comes from 529 00:32:11,760 --> 00:32:13,840 Speaker 1: the fucking r NC, you know what I mean. And 530 00:32:13,920 --> 00:32:18,200 Speaker 1: she's full on you know, just here too. I don't know, 531 00:32:18,400 --> 00:32:21,200 Speaker 1: go along with this narrative of like, now you don't 532 00:32:21,200 --> 00:32:24,440 Speaker 1: know who I'm yet, so I'm not doing anything. And 533 00:32:24,720 --> 00:32:29,560 Speaker 1: this money specifically, like when you have a new administration 534 00:32:29,640 --> 00:32:33,160 Speaker 1: coming in, they need some cash, you know, to start 535 00:32:33,200 --> 00:32:37,240 Speaker 1: fucking creating office spaces, to begin planning out the transition, 536 00:32:37,320 --> 00:32:42,120 Speaker 1: to do all the business that a presidential administration would do. 537 00:32:42,680 --> 00:32:46,080 Speaker 1: And it's just just sitting on like ten million dollars, 538 00:32:46,200 --> 00:32:50,040 Speaker 1: like not releasing it because you want to just say that, 539 00:32:50,080 --> 00:32:53,600 Speaker 1: like they said. And ascertainment has not yet been made 540 00:32:54,280 --> 00:32:57,320 Speaker 1: in terms of like like what is actually going on 541 00:32:57,400 --> 00:33:01,160 Speaker 1: with this stone walling? So cool? Well if you say 542 00:33:01,200 --> 00:33:04,120 Speaker 1: it like a mall security guard trying to sound official, 543 00:33:04,200 --> 00:33:08,800 Speaker 1: then it becomes more official, uh sir. An Ascertainment has 544 00:33:08,840 --> 00:33:13,800 Speaker 1: not yet been made with regards to the electoral situation. Um, 545 00:33:14,400 --> 00:33:16,000 Speaker 1: we're not going to get out in front of the 546 00:33:16,040 --> 00:33:24,680 Speaker 1: president on transition issues right now because he's crying. Interestingly, 547 00:33:25,360 --> 00:33:28,640 Speaker 1: the last time that there was like basically an outright 548 00:33:29,360 --> 00:33:34,680 Speaker 1: hostile kind of transition was Hoover to FDR, and like 549 00:33:34,760 --> 00:33:37,880 Speaker 1: Hoover was like, this guy's gonna fucking with this new 550 00:33:37,920 --> 00:33:41,280 Speaker 1: deal thing. He's gonna tank America. Like every we're so screwed, 551 00:33:41,800 --> 00:33:44,760 Speaker 1: like just believed that he was like the last man 552 00:33:44,880 --> 00:33:50,600 Speaker 1: standing between the end of America and you know, the 553 00:33:51,040 --> 00:33:55,280 Speaker 1: bang up job he was doing. But he like was 554 00:33:55,400 --> 00:33:59,640 Speaker 1: just openly like trying to like convince FDR that like 555 00:33:59,800 --> 00:34:02,960 Speaker 1: his way of like dealing with the economy was the 556 00:34:03,080 --> 00:34:07,440 Speaker 1: right way, which was like a more conservative, more conservative 557 00:34:07,480 --> 00:34:13,080 Speaker 1: politics or more conservative financial set up. And he was 558 00:34:13,160 --> 00:34:17,720 Speaker 1: also would also like make statements in the media about 559 00:34:17,760 --> 00:34:21,239 Speaker 1: like how FDR was like not doing the right thing 560 00:34:21,320 --> 00:34:23,200 Speaker 1: and like was not listening to him and he was 561 00:34:23,280 --> 00:34:28,760 Speaker 1: leaking things, which like I I would have if somebody 562 00:34:28,760 --> 00:34:30,120 Speaker 1: had told me that, I would have been like, yeah, 563 00:34:30,200 --> 00:34:32,560 Speaker 1: but like who had the last laugh. FDR came in 564 00:34:32,600 --> 00:34:35,680 Speaker 1: and just like had his way. But one thing that 565 00:34:36,239 --> 00:34:39,160 Speaker 1: kind of gets forgotten is that during back then, it 566 00:34:39,200 --> 00:34:41,840 Speaker 1: was a four month lame duck period just because it 567 00:34:41,880 --> 00:34:44,680 Speaker 1: took people a long time to get to d C 568 00:34:44,880 --> 00:34:50,719 Speaker 1: back then, like yeah, to take physical papers right exactly, 569 00:34:51,480 --> 00:34:56,160 Speaker 1: just boxes and boxes of papers. But during that four 570 00:34:56,239 --> 00:35:00,960 Speaker 1: months lame duck period. FDR was on February in Miami 571 00:35:01,160 --> 00:35:05,600 Speaker 1: and an unemployed bricklayer fired shots at an open convertible 572 00:35:05,640 --> 00:35:10,120 Speaker 1: where Roosevelt was seated next to Chicago Mayor Anton sermac 573 00:35:10,719 --> 00:35:13,279 Speaker 1: Uh and a woman in the crowd actually hit the 574 00:35:13,280 --> 00:35:16,680 Speaker 1: gunman's arm as he was shooting, and that's the only 575 00:35:16,719 --> 00:35:20,160 Speaker 1: reason that like it didn't kill FDR. The bullet struck 576 00:35:20,360 --> 00:35:23,160 Speaker 1: the Chicago mayor, and the Chicago mayor died a few 577 00:35:23,160 --> 00:35:27,640 Speaker 1: weeks later. So yeah, but that's the sort of thing. 578 00:35:28,000 --> 00:35:30,560 Speaker 1: You know. There's that Van Jones ted talk that I 579 00:35:30,640 --> 00:35:33,080 Speaker 1: was talking about at the end of last week about 580 00:35:33,120 --> 00:35:38,480 Speaker 1: how important the concession speeches and like having the lame 581 00:35:38,560 --> 00:35:43,280 Speaker 1: duck president buy into, you know, the transition, the peaceful 582 00:35:43,320 --> 00:35:46,960 Speaker 1: transition of power, because there is just so much energy 583 00:35:47,160 --> 00:35:51,879 Speaker 1: and so much anger, you know among people who are 584 00:35:51,960 --> 00:35:54,879 Speaker 1: on the losing side, that like you're gonna you're gonna 585 00:35:55,000 --> 00:35:58,520 Speaker 1: have problems like that. Yeah, especially because they think it's 586 00:35:58,520 --> 00:36:02,160 Speaker 1: going to be four or something suddenly, what are you 587 00:36:02,239 --> 00:36:06,440 Speaker 1: talking about? Really? Okay, they're gonna like make me get healthcare, 588 00:36:07,400 --> 00:36:11,719 Speaker 1: fucking like like probably relieve some debt I don't know, man, 589 00:36:11,800 --> 00:36:13,839 Speaker 1: I don't I'm not I'm not with this. It's weird 590 00:36:13,880 --> 00:36:17,440 Speaker 1: how the energy they're talking about certain policies, Like on 591 00:36:18,000 --> 00:36:20,320 Speaker 1: when Trump came into office, you're like, oh my god, 592 00:36:20,760 --> 00:36:24,040 Speaker 1: immigrants are going to be fucking savage, Like they're going 593 00:36:24,080 --> 00:36:27,800 Speaker 1: to be treated like in just in the most inhumane ways. Um, 594 00:36:28,160 --> 00:36:32,000 Speaker 1: Islamophobia is going to be on the rise. Uh, black 595 00:36:32,040 --> 00:36:34,880 Speaker 1: and brown people will have to consider their protection with 596 00:36:34,960 --> 00:36:37,560 Speaker 1: such an open racist in office. And these people are like, 597 00:36:37,880 --> 00:36:39,799 Speaker 1: I don't know, they're probably gonna like make me get 598 00:36:39,840 --> 00:36:48,920 Speaker 1: my soy injections were like all cultural worship. It was 599 00:36:48,920 --> 00:36:51,719 Speaker 1: a sucker Carlson or someone who's like Joe Biden's gonna 600 00:36:51,719 --> 00:36:56,000 Speaker 1: make everyone drinks Starbucks. Yeah, yeah, the worst thing you 601 00:36:56,000 --> 00:36:59,320 Speaker 1: could think of. H yeah, I mean it is pretty 602 00:36:59,320 --> 00:37:03,439 Speaker 1: bad Starbucks coffee. Is I would prefer something a bit better. 603 00:37:03,800 --> 00:37:08,040 Speaker 1: Yeah yeah, but I mean yeah, just listening to the 604 00:37:08,400 --> 00:37:14,920 Speaker 1: despair and terror and anger from like Trump voters who 605 00:37:14,920 --> 00:37:18,320 Speaker 1: are being interviewed over the weekend, just but but without 606 00:37:18,360 --> 00:37:22,719 Speaker 1: any real They're they're like there wasn't an explanation for 607 00:37:22,840 --> 00:37:25,919 Speaker 1: what they were afraid of or upset about, other than 608 00:37:26,760 --> 00:37:31,200 Speaker 1: that they think that Biden cheated, and that's a that's 609 00:37:31,200 --> 00:37:34,839 Speaker 1: a very necessary step. You need to keep your outrage up. 610 00:37:35,400 --> 00:37:38,319 Speaker 1: If if you then if you hit the wall like 611 00:37:38,360 --> 00:37:41,719 Speaker 1: sort of, even if you're completely like you know, into 612 00:37:41,760 --> 00:37:45,439 Speaker 1: some other narrative, the logic road ends when you're like, well, yeah, 613 00:37:45,480 --> 00:37:49,680 Speaker 1: what evidence, You're like, um, the I mean, they did it. 614 00:37:49,920 --> 00:37:52,319 Speaker 1: I know that much. But I guess that's been enough 615 00:37:52,320 --> 00:37:54,319 Speaker 1: for the last you know, four years for these people. 616 00:37:54,320 --> 00:37:56,680 Speaker 1: But they're also there seems to be also frustration too, 617 00:37:56,719 --> 00:38:00,480 Speaker 1: because if you're getting pooned by your liberal you know, 618 00:38:00,640 --> 00:38:04,239 Speaker 1: co workers and family members on like Facebook, and you're like, yeah, 619 00:38:04,280 --> 00:38:06,640 Speaker 1: just show me anything, and you can't. Then it's like 620 00:38:07,719 --> 00:38:09,719 Speaker 1: or even like did you see someone who tweeted at 621 00:38:09,719 --> 00:38:12,840 Speaker 1: the president who was like, sir, you are the president. 622 00:38:13,320 --> 00:38:15,560 Speaker 1: You can send the troops in. You need to just 623 00:38:15,640 --> 00:38:20,520 Speaker 1: do more than tweet, please please, sir. And I don't know, man, 624 00:38:20,560 --> 00:38:23,320 Speaker 1: Alex Trebek, just take it away one more time. In 625 00:38:23,440 --> 00:38:28,239 Speaker 1: other words, so us, it's all just very very It's 626 00:38:28,320 --> 00:38:31,279 Speaker 1: it's an interesting period for all involved, for people trying 627 00:38:31,320 --> 00:38:33,960 Speaker 1: to transition into this new administration and other people, I 628 00:38:33,960 --> 00:38:39,880 Speaker 1: guess transitioning into a more absurd form of surreality. So 629 00:38:39,920 --> 00:38:43,080 Speaker 1: what stops him from sending the troops in Like what 630 00:38:43,239 --> 00:38:46,920 Speaker 1: is it just his root we're accounting on his Republican 631 00:38:47,000 --> 00:38:52,239 Speaker 1: colleagues and the generals to not Yeah, well, I think 632 00:38:52,320 --> 00:38:55,120 Speaker 1: I think what happens is he says something and not 633 00:38:55,200 --> 00:38:58,120 Speaker 1: everyone's like yeah, yeah, yeah, do that ship like because 634 00:38:58,160 --> 00:39:01,160 Speaker 1: the stuff that they are they get unt but there's 635 00:39:01,200 --> 00:39:03,440 Speaker 1: clearly enough there's there are enough people who are sort 636 00:39:03,440 --> 00:39:05,600 Speaker 1: of like mm. Then it's also like you also know, 637 00:39:05,680 --> 00:39:08,600 Speaker 1: like you piste off all the generals, so like, well 638 00:39:08,719 --> 00:39:11,200 Speaker 1: you can give that order, Like who knows if they're 639 00:39:11,200 --> 00:39:13,640 Speaker 1: going to drag their feet because they don't want to 640 00:39:13,680 --> 00:39:15,759 Speaker 1: do this. It's all I don't know. I mean, it 641 00:39:16,120 --> 00:39:21,920 Speaker 1: seems that the he's just rapidly losing political capital um, 642 00:39:22,080 --> 00:39:27,040 Speaker 1: especially now that like most people have accepted the results, um, 643 00:39:27,080 --> 00:39:29,400 Speaker 1: even if they haven't out loud or in the media 644 00:39:29,440 --> 00:39:31,480 Speaker 1: to try and keep the base up. But it's just 645 00:39:31,520 --> 00:39:34,560 Speaker 1: like you know that they're not fired up, like you know, 646 00:39:34,600 --> 00:39:38,239 Speaker 1: like it was eighteen or something. He also just seems exhausted, 647 00:39:38,400 --> 00:39:41,719 Speaker 1: Like he does not seem like he could be you know, 648 00:39:42,320 --> 00:39:46,279 Speaker 1: out there screaming from the balcony, you know, staging this 649 00:39:46,400 --> 00:39:49,759 Speaker 1: cool like he just seems like tired and old, and 650 00:39:49,880 --> 00:39:51,279 Speaker 1: you know, I don't know if it's true, but there's 651 00:39:51,320 --> 00:39:53,319 Speaker 1: that report that he's just like eating way too much, 652 00:39:53,560 --> 00:39:57,759 Speaker 1: even more fast food than usual, and aids are like 653 00:39:57,800 --> 00:40:01,440 Speaker 1: having a light scented candle in the White House to uh, 654 00:40:01,920 --> 00:40:06,000 Speaker 1: to deal with the constant odor. But I just like, wait, 655 00:40:06,000 --> 00:40:09,560 Speaker 1: that's a that's an no, that was that was in 656 00:40:09,719 --> 00:40:11,800 Speaker 1: like a Daily Mail article today. So I don't know 657 00:40:11,840 --> 00:40:14,200 Speaker 1: if it's true enough, but I like to think it's true. 658 00:40:15,000 --> 00:40:16,960 Speaker 1: But I I, yeah, I just don't see like him 659 00:40:17,040 --> 00:40:19,400 Speaker 1: even having like the resolve at this point to do 660 00:40:19,520 --> 00:40:23,440 Speaker 1: something that dramatic. Like I just see him whining and 661 00:40:23,840 --> 00:40:26,680 Speaker 1: moaning and yeah, just going on Twitter until they have 662 00:40:26,760 --> 00:40:30,200 Speaker 1: to throw him out. Yeah, I mean, or someone like 663 00:40:30,280 --> 00:40:33,600 Speaker 1: him just goes to fucking mar Lago and just doesn't 664 00:40:33,640 --> 00:40:36,799 Speaker 1: come back. Yeah, like whatever, who gives an they'll send 665 00:40:36,840 --> 00:40:40,239 Speaker 1: my ship. Technically I'm at the Winter White House, still house. 666 00:40:40,480 --> 00:40:42,200 Speaker 1: The thing will see, I mean, I think the thing 667 00:40:42,239 --> 00:40:45,120 Speaker 1: that will be very telling is what these rallies look like, 668 00:40:45,239 --> 00:40:48,040 Speaker 1: because that's the next that's the next step we're hearing 669 00:40:48,200 --> 00:40:51,640 Speaker 1: is while the lawyers are out there filing, just fucking 670 00:40:51,800 --> 00:40:56,239 Speaker 1: whack ass non substantive cases, our lawsuits to try and 671 00:40:56,440 --> 00:40:59,600 Speaker 1: get a recount or upend the results, which is going 672 00:40:59,640 --> 00:41:02,640 Speaker 1: to happen. And he is saying, or they're all saying 673 00:41:02,680 --> 00:41:06,440 Speaker 1: that he wants to get out there and do some rallies, uh, 674 00:41:06,480 --> 00:41:08,719 Speaker 1: to like really keep the energy up. But like they're saying, 675 00:41:08,760 --> 00:41:10,880 Speaker 1: like in a couple of weeks, And if you're smart, 676 00:41:11,000 --> 00:41:12,840 Speaker 1: you're like, dude, you don't have a couple of weeks. 677 00:41:12,840 --> 00:41:14,600 Speaker 1: Like if you're gonna be doing that, you needed to 678 00:41:14,600 --> 00:41:18,359 Speaker 1: be out there every day since Tuesday. That's what he's 679 00:41:18,400 --> 00:41:20,760 Speaker 1: too tired. Like did you hear him, Like the interviews 680 00:41:20,760 --> 00:41:23,320 Speaker 1: he gave an election day, he sounded like Harvey Firestein 681 00:41:23,440 --> 00:41:29,160 Speaker 1: or something like his voice was just shot so froggy. Yeah, 682 00:41:29,480 --> 00:41:31,399 Speaker 1: I mean, I I think there's gonna be a lot 683 00:41:31,400 --> 00:41:33,920 Speaker 1: of energy at those at those rallies, just based on 684 00:41:34,120 --> 00:41:37,879 Speaker 1: what you're hearing from from the people who voted for him. 685 00:41:38,000 --> 00:41:41,520 Speaker 1: They really think that they're like they fully believe the 686 00:41:41,520 --> 00:41:45,160 Speaker 1: the elections being stolen from them, which you know from 687 00:41:45,160 --> 00:41:47,759 Speaker 1: the people, Yeah, yeah, yeah, yeah, that's why. Yeah, Like 688 00:41:47,840 --> 00:41:50,240 Speaker 1: he should not Joe Biden should not be cruising around 689 00:41:50,239 --> 00:41:54,759 Speaker 1: and convertibles right now with the Chicago. Yeah, well, I 690 00:41:54,800 --> 00:41:58,560 Speaker 1: just want to say, just to further demonstrate how deep 691 00:41:58,680 --> 00:42:00,719 Speaker 1: people are going to go into their own minds and 692 00:42:00,760 --> 00:42:04,400 Speaker 1: into the spiritual realm to try and correct this result. 693 00:42:04,760 --> 00:42:10,920 Speaker 1: Michelle Bachman, the wonderful Horseship congress person from Minnesota, she 694 00:42:11,360 --> 00:42:14,920 Speaker 1: is just out here. I'm just gonna play this. She's 695 00:42:14,960 --> 00:42:17,839 Speaker 1: like on her selfie videos, just trying to get God 696 00:42:17,920 --> 00:42:22,560 Speaker 1: to wake up. God. Please, I ask, oh God, that 697 00:42:22,800 --> 00:42:26,719 Speaker 1: you would take your iron rod, and I asked that 698 00:42:26,840 --> 00:42:32,440 Speaker 1: you would smash the clay jar of deceit in America. 699 00:42:32,880 --> 00:42:37,360 Speaker 1: Smash the clay jar of delusion in the United States 700 00:42:37,440 --> 00:42:42,520 Speaker 1: of America. Smash the delusion. Please, Father of Joe Biden 701 00:42:42,560 --> 00:42:46,480 Speaker 1: as our president, he is not. Would you take your 702 00:42:46,560 --> 00:42:51,840 Speaker 1: iron rod and smash the strong delusion that Nancy Pelosi 703 00:42:52,000 --> 00:42:55,439 Speaker 1: does have her House of Representatives. We don't know that. 704 00:42:55,640 --> 00:43:00,960 Speaker 1: Smash in smash Lord to take over for review a 705 00:43:01,160 --> 00:43:07,600 Speaker 1: Senate by Chuck Schumer. Lord smashed it with your iron rod. Smash, smash, 706 00:43:07,880 --> 00:43:11,319 Speaker 1: smash is what we need fucking God to come through with. 707 00:43:11,440 --> 00:43:17,440 Speaker 1: Please please please, Uh Domin Dominatrix, Daddy smashed me with 708 00:43:17,520 --> 00:43:20,640 Speaker 1: your iron rods so I can bust off this clay 709 00:43:20,719 --> 00:43:24,760 Speaker 1: Jar of delusion. It's um, yeah, so now we're praying 710 00:43:25,440 --> 00:43:30,759 Speaker 1: for God to change the news narrative. I don't know 711 00:43:31,239 --> 00:43:34,879 Speaker 1: that seems to be more prevalent among adults on that 712 00:43:34,960 --> 00:43:38,480 Speaker 1: side of the aisle than I would have expected. Maybe everywhere, 713 00:43:38,560 --> 00:43:41,680 Speaker 1: But this notion of God as somebody who like does 714 00:43:41,719 --> 00:43:45,239 Speaker 1: things for you and like you can appeal to for 715 00:43:45,239 --> 00:43:48,359 Speaker 1: for sports wins and stuff. Um, God, we didn't ask 716 00:43:48,400 --> 00:43:51,960 Speaker 1: for a single thing during the pandemic, just one God 717 00:43:52,040 --> 00:44:00,000 Speaker 1: as Santa Claus, God as politics Santa Claus. Um, yes, yeah, 718 00:43:59,840 --> 00:44:03,160 Speaker 1: I mean that's how most people become atheists, you know, 719 00:44:03,280 --> 00:44:06,360 Speaker 1: like if you're raised around religion, you're liking what happens, 720 00:44:06,920 --> 00:44:08,919 Speaker 1: and then you're gonna pray and then the you're gonna 721 00:44:08,960 --> 00:44:12,360 Speaker 1: get something or what happened. And wait this, this dude 722 00:44:12,400 --> 00:44:15,160 Speaker 1: died so I could because I because I'm gonna jerk 723 00:44:15,200 --> 00:44:18,400 Speaker 1: off is why he died. I'm sorry, this is a 724 00:44:18,400 --> 00:44:21,760 Speaker 1: lot to handle, and already I very vividly remember when 725 00:44:21,960 --> 00:44:25,759 Speaker 1: God left my life when I wanted a motherfucking Nintendo 726 00:44:26,440 --> 00:44:29,080 Speaker 1: for Christmas and I prayed because in my school I 727 00:44:29,120 --> 00:44:31,360 Speaker 1: went to Lutheran school, and like that's how they're setting 728 00:44:31,400 --> 00:44:34,040 Speaker 1: up this relationship to you and God. You pray and 729 00:44:34,040 --> 00:44:37,080 Speaker 1: then God will answer you, blah blah blah, and I'm like, okay, cool, 730 00:44:37,480 --> 00:44:40,040 Speaker 1: I need this motherfucking Nintendo because I'm trying to play 731 00:44:40,040 --> 00:44:44,080 Speaker 1: Battle Toads and I didn't get it, and I was done. 732 00:44:44,520 --> 00:44:47,960 Speaker 1: My heart turned black and nothing could happen even if 733 00:44:47,960 --> 00:44:50,600 Speaker 1: I did get Mario paint in a Super Nintendo. The 734 00:44:50,640 --> 00:44:53,799 Speaker 1: following Christmas, the ship had set sail and I was 735 00:44:53,840 --> 00:44:57,520 Speaker 1: going into the darkness of a godless world. So yeah, 736 00:44:57,680 --> 00:45:00,200 Speaker 1: but even then, it's I don't know, yeah, hate to 737 00:45:00,200 --> 00:45:01,760 Speaker 1: see it. You hate to see it for those people. 738 00:45:02,000 --> 00:45:05,360 Speaker 1: I do feel like the you know, expecting them to 739 00:45:05,480 --> 00:45:08,840 Speaker 1: come around to any version of reality where Trump loss 740 00:45:09,040 --> 00:45:14,279 Speaker 1: is like expecting Christians to be like, yeah, you know what, 741 00:45:14,440 --> 00:45:18,279 Speaker 1: Jesus did get powned by punchers pilot, Like I just 742 00:45:18,320 --> 00:45:21,240 Speaker 1: think that it is not happening for them, Like that's 743 00:45:22,040 --> 00:45:25,520 Speaker 1: their brain is never gonna go in that direction. I mean, 744 00:45:25,520 --> 00:45:27,600 Speaker 1: if there, if it's the same narrative, they should they 745 00:45:27,600 --> 00:45:30,719 Speaker 1: should look at at truly as uh Trump as a 746 00:45:30,760 --> 00:45:34,120 Speaker 1: christ figure, because I'm sure somebody was like, um, Jesus, 747 00:45:34,160 --> 00:45:36,080 Speaker 1: I would hate to tell you this, but you are 748 00:45:36,160 --> 00:45:38,879 Speaker 1: the son of God. You don't have to be crucified 749 00:45:38,960 --> 00:45:41,560 Speaker 1: right now. You know, you don't have to do this 750 00:45:41,800 --> 00:45:44,279 Speaker 1: right now, just so you know, I don't want to 751 00:45:44,320 --> 00:45:46,439 Speaker 1: see this. But if they're going through it, then maybe 752 00:45:46,520 --> 00:45:48,359 Speaker 1: he does have to do that and then go to 753 00:45:48,400 --> 00:45:51,839 Speaker 1: Mara Lago for four years and then he will be risen. Uh, 754 00:45:53,280 --> 00:45:56,480 Speaker 1: step out from the cave. They went to Mara Lago, 755 00:45:56,680 --> 00:46:00,719 Speaker 1: but his body was not there. He was he was 756 00:46:01,000 --> 00:46:04,400 Speaker 1: going to the white just a shroud with orange makeup 757 00:46:04,480 --> 00:46:08,239 Speaker 1: stains on. Let's take a quick break and we'll come 758 00:46:08,280 --> 00:46:22,280 Speaker 1: back and talk about that. And we're back and jam you. 759 00:46:22,280 --> 00:46:26,680 Speaker 1: You dove in and did some research into this conspiracy 760 00:46:26,760 --> 00:46:30,000 Speaker 1: theory that's starting to crop up more and more. That's 761 00:46:30,080 --> 00:46:34,000 Speaker 1: called the Hammer, or it's are around a computer, a 762 00:46:34,000 --> 00:46:39,000 Speaker 1: supercomputer called the Hammer, and a piece of software called 763 00:46:39,040 --> 00:46:43,000 Speaker 1: the Scorecard that comes from this dude, Dennis Montgomery, who 764 00:46:43,080 --> 00:46:46,080 Speaker 1: was a fascinating figure I didn't know about. Yeah, I 765 00:46:46,080 --> 00:46:49,000 Speaker 1: mean neither. I thought this was really fascinating. He he runs, 766 00:46:49,200 --> 00:46:52,440 Speaker 1: of course we know now he runs the deep state 767 00:46:52,480 --> 00:46:56,240 Speaker 1: computer that hacked all the votes and gave Biden the wind, 768 00:46:56,320 --> 00:46:58,520 Speaker 1: which is called the Hammer. And I guess the software 769 00:46:58,600 --> 00:47:05,279 Speaker 1: is called uh uh the scorecard. But yeah, I guess 770 00:47:05,280 --> 00:47:08,040 Speaker 1: this will pick up traction, like Bannon and people have 771 00:47:08,120 --> 00:47:10,480 Speaker 1: been talking about it on podcasts, and like I searched 772 00:47:10,520 --> 00:47:13,279 Speaker 1: on Twitter, and certainly there were a lot of like 773 00:47:13,320 --> 00:47:16,120 Speaker 1: either bots or you know, sort of all right trolls 774 00:47:16,120 --> 00:47:20,160 Speaker 1: tweeting about about the hammer. But so it's it's all 775 00:47:20,200 --> 00:47:25,040 Speaker 1: kind of based on the idea that this whistleblower, Dennis Montgomery, 776 00:47:25,080 --> 00:47:26,960 Speaker 1: who used to be like a c I a kind 777 00:47:27,000 --> 00:47:32,439 Speaker 1: of contractor uh was, was kind of blowing the lid 778 00:47:32,480 --> 00:47:38,120 Speaker 1: off of this hammer uh computer narrative. But like it's 779 00:47:38,120 --> 00:47:40,239 Speaker 1: so easy to just look him up, Like he has 780 00:47:40,239 --> 00:47:44,400 Speaker 1: a Wikipedia page that just has all of these crazy 781 00:47:44,520 --> 00:47:47,760 Speaker 1: uh exploits that he has been involved with. Like the 782 00:47:47,760 --> 00:47:50,960 Speaker 1: the wackiest one was after nine eleven in the early 783 00:47:51,000 --> 00:47:54,759 Speaker 1: two thousand's, he got more than twenty million dollars in 784 00:47:54,800 --> 00:47:59,440 Speaker 1: government contracts for his patented software that would quote find 785 00:47:59,640 --> 00:48:04,040 Speaker 1: terror plots in uh hidden in broadcasts on Al Jazeera. 786 00:48:05,440 --> 00:48:11,480 Speaker 1: That's oh he got how much? Wait? The government paid 787 00:48:11,560 --> 00:48:14,440 Speaker 1: him more than twenty million dollars too. He said, like 788 00:48:14,560 --> 00:48:18,520 Speaker 1: you could like freeze al Jazero shows and like decode 789 00:48:18,560 --> 00:48:21,080 Speaker 1: the pixels on the TV that would give you times 790 00:48:21,160 --> 00:48:24,640 Speaker 1: and coordinates for where to find the next terrorist plot. 791 00:48:24,719 --> 00:48:26,520 Speaker 1: And this wasn't just like a random thing. They paid 792 00:48:26,520 --> 00:48:29,080 Speaker 1: money for it and didn't like he the advice of 793 00:48:29,120 --> 00:48:32,239 Speaker 1: like flights were grounded as a result of this, Like 794 00:48:32,719 --> 00:48:37,399 Speaker 1: a counter terrorist operation uh went through on Obama's inauguration 795 00:48:37,480 --> 00:48:40,040 Speaker 1: day apparently because of this, Like and it was just 796 00:48:40,480 --> 00:48:44,839 Speaker 1: obviously a total scam, Like it's a con. Shit that's 797 00:48:44,880 --> 00:48:49,600 Speaker 1: so brilliant though of like weaponizing Islamophobia for your con job. 798 00:48:49,920 --> 00:48:53,080 Speaker 1: It's almost like yas or Leicester does with like fedoras 799 00:48:53,120 --> 00:48:56,399 Speaker 1: for freedom about being like, what's this I'll tell these 800 00:48:56,800 --> 00:48:59,040 Speaker 1: white people were a fedora to show your an ally 801 00:48:59,080 --> 00:49:01,600 Speaker 1: of the Black Lives matter, ye all weaponize that. And 802 00:49:01,640 --> 00:49:03,520 Speaker 1: this one's like oh yeah, just so you know, because 803 00:49:03,560 --> 00:49:07,640 Speaker 1: you have you're so afraid of of of Muslims that 804 00:49:08,040 --> 00:49:10,359 Speaker 1: I have a thing that will de scramble their TV 805 00:49:10,520 --> 00:49:13,319 Speaker 1: shows and reveal the hidden message because you already are 806 00:49:13,440 --> 00:49:15,759 Speaker 1: so fucking far gone that you're like, yep, that's like 807 00:49:15,800 --> 00:49:18,560 Speaker 1: the glasses and they live. They just like to show 808 00:49:18,600 --> 00:49:21,960 Speaker 1: you the reality. That's what people said about like the 809 00:49:22,000 --> 00:49:26,440 Speaker 1: devil working through he Man when we were kids, the 810 00:49:26,520 --> 00:49:29,920 Speaker 1: Devil does work through he man, okay, yeah, yeah, and 811 00:49:29,960 --> 00:49:32,879 Speaker 1: there's like other things like he was keep it moving, jam, 812 00:49:32,960 --> 00:49:36,719 Speaker 1: let's not hung up on the Devil does work. Okay. Come. 813 00:49:38,120 --> 00:49:41,880 Speaker 1: He was like a confidential informant for for Sheriff Joe R. Pio, 814 00:49:42,160 --> 00:49:44,400 Speaker 1: who like conned him out of a hundred and twenty 815 00:49:44,800 --> 00:49:52,480 Speaker 1: dollars claiming too Yeah, exactly, uh, using his supercomputer to 816 00:49:52,200 --> 00:49:57,000 Speaker 1: uh to prove a conspiracy between like the judge and 817 00:49:57,120 --> 00:50:03,200 Speaker 1: his racial discrimination case and and the prosecutor. And then 818 00:50:03,400 --> 00:50:06,759 Speaker 1: he was also lifting desperate racists. Yeah, this guy's kind 819 00:50:06,800 --> 00:50:09,839 Speaker 1: of a hero. Yeah, it's kind of amazing. Really. I mean, 820 00:50:09,880 --> 00:50:12,080 Speaker 1: I don't know why this isn't like a podcast or 821 00:50:12,120 --> 00:50:16,920 Speaker 1: a mini series or something. It's unbelievable. I can't believe 822 00:50:17,000 --> 00:50:21,600 Speaker 1: that this guy actually exists and has gotten that rich 823 00:50:21,680 --> 00:50:25,440 Speaker 1: off of this stuff. So how does he now factor 824 00:50:25,520 --> 00:50:30,040 Speaker 1: into the this election? Well, you see, the main ingredient 825 00:50:30,160 --> 00:50:32,840 Speaker 1: in all of these is that he has a supercomputer 826 00:50:33,040 --> 00:50:36,440 Speaker 1: called the Hammer that he's able to use to decode. 827 00:50:37,520 --> 00:50:39,840 Speaker 1: He's been using the Hammer. He created the Hammer a 828 00:50:39,840 --> 00:50:43,840 Speaker 1: long time ago. He's he's a computer god Tony Stark, 829 00:50:44,360 --> 00:50:47,799 Speaker 1: and he has been using the Hammer to like dig 830 00:50:47,840 --> 00:50:54,239 Speaker 1: into all this information and decode Al Jazeera and now yeah, 831 00:50:54,280 --> 00:50:57,480 Speaker 1: now he's claiming that they I think he's claiming that 832 00:50:57,520 --> 00:51:02,600 Speaker 1: they used his computer to steal the election. And now 833 00:51:02,640 --> 00:51:06,960 Speaker 1: he's like blowing the whistle. Is that right, jam, Yeah, yeah, exactly. Yeah, 834 00:51:07,640 --> 00:51:11,320 Speaker 1: And there's even more stuff, there's even more stories. But yeah, 835 00:51:11,360 --> 00:51:15,480 Speaker 1: it's it's worth reading about because just a fascinating seques 836 00:51:15,640 --> 00:51:19,040 Speaker 1: and just also like the idea that he's one of 837 00:51:19,080 --> 00:51:22,120 Speaker 1: the at least like his his kind of theories are 838 00:51:22,360 --> 00:51:25,040 Speaker 1: are one of the conspiracies that people are using this 839 00:51:25,120 --> 00:51:28,200 Speaker 1: election when there's just so many examples of him literally 840 00:51:28,280 --> 00:51:34,360 Speaker 1: using the same supercomputer narrative in these cons It's it's amazing, 841 00:51:34,680 --> 00:51:38,520 Speaker 1: it's hilarious, and yeah, please please make this a mini 842 00:51:38,560 --> 00:51:44,600 Speaker 1: series with Paul Giamatti or someone. I One thing is, 843 00:51:44,680 --> 00:51:48,759 Speaker 1: I don't think anyone would like the people who are 844 00:51:48,800 --> 00:51:52,680 Speaker 1: buying into the idea that Biden uses supercomputer to steal 845 00:51:52,680 --> 00:51:57,080 Speaker 1: the election are probably not skeptical of the idea that 846 00:51:57,200 --> 00:52:01,839 Speaker 1: he could use his supercomputer to decode Jazeera and uh 847 00:52:02,080 --> 00:52:04,760 Speaker 1: find out like the coordinates of the next terror attack, 848 00:52:04,920 --> 00:52:07,920 Speaker 1: like that that's true. Yeah, Yeah, they're probably just like, yeah, 849 00:52:07,960 --> 00:52:11,600 Speaker 1: of course, man, this guy's a credible source. Is the 850 00:52:11,640 --> 00:52:15,840 Speaker 1: guy who found stopped all those terror attacks in that reality. 851 00:52:16,880 --> 00:52:20,360 Speaker 1: Because their lives are so boring, all of the data 852 00:52:20,480 --> 00:52:22,600 Speaker 1: is out there for them to solve crimes from the 853 00:52:22,680 --> 00:52:24,839 Speaker 1: comfort of their homes, you know what I mean. It's 854 00:52:24,880 --> 00:52:27,680 Speaker 1: like it's actually you just pause out Jazera and you 855 00:52:27,680 --> 00:52:30,680 Speaker 1: look at that, and that's how you save the country. Actually, 856 00:52:31,080 --> 00:52:33,680 Speaker 1: if you just go to this pizza restaurant and check 857 00:52:33,719 --> 00:52:36,480 Speaker 1: out the basement, uh, you might be able to stop 858 00:52:36,480 --> 00:52:39,239 Speaker 1: a child trafficking ring. Actually, if you just look at 859 00:52:39,680 --> 00:52:43,040 Speaker 1: the first letter of each word in this article as 860 00:52:43,080 --> 00:52:47,520 Speaker 1: spells out the storm is coming. Therefore, it's like wow, 861 00:52:47,600 --> 00:52:51,960 Speaker 1: So if if nothing requires expertise, then everyone's an expert. 862 00:52:52,000 --> 00:52:53,680 Speaker 1: And that's like the real danger with all this ship. 863 00:52:54,000 --> 00:52:56,200 Speaker 1: It does feel like all these conspiracies are coming from 864 00:52:56,200 --> 00:52:59,200 Speaker 1: someone just like looking around their room trying to say, like, uh, 865 00:52:59,440 --> 00:53:05,960 Speaker 1: there's uh pizza pizza parlor conspiracy and TV and right, 866 00:53:06,320 --> 00:53:11,239 Speaker 1: it's just like shitty verbal kent from usual suspects. Yeah, yeah, 867 00:53:11,280 --> 00:53:14,000 Speaker 1: I mean that's literally what they did. Because like the 868 00:53:14,040 --> 00:53:18,120 Speaker 1: whole pizza Gate conspiracy came from a email dump, right, 869 00:53:18,320 --> 00:53:21,319 Speaker 1: So like they the wicked leaks email dump and they 870 00:53:21,360 --> 00:53:26,839 Speaker 1: just went through the random, boring, monotonous day to day 871 00:53:26,880 --> 00:53:30,279 Speaker 1: ship that people email about and like crafted a conspiracy 872 00:53:30,280 --> 00:53:33,720 Speaker 1: out of that. Mm hmm. Let's talk about the mccloskey's 873 00:53:34,040 --> 00:53:38,520 Speaker 1: real quick. I always like they're going through it, really 874 00:53:38,520 --> 00:53:41,319 Speaker 1: going through it. I want to for them, um, if 875 00:53:41,360 --> 00:53:43,680 Speaker 1: you don't know who they are, And that's why I 876 00:53:43,680 --> 00:53:46,600 Speaker 1: have this somber tone, is that the mccloskey's is the 877 00:53:46,680 --> 00:53:49,880 Speaker 1: lawyer couple from St. Louis UM that pulled the straps 878 00:53:49,920 --> 00:53:52,880 Speaker 1: out on the peaceful protesters who were marching through their 879 00:53:53,120 --> 00:53:57,200 Speaker 1: gated community. If you remember, very famously, the probably the 880 00:53:57,239 --> 00:53:59,359 Speaker 1: most famous photo is the one with the woman with 881 00:53:59,400 --> 00:54:03,120 Speaker 1: her hand on or hip with the little handgun a 882 00:54:03,160 --> 00:54:09,480 Speaker 1: little and so here is my handle, here is my nine. Um. 883 00:54:09,520 --> 00:54:13,839 Speaker 1: So these this couple is now suing the photographer who 884 00:54:13,880 --> 00:54:17,120 Speaker 1: took that specific photo. Because I think we all whenever 885 00:54:17,160 --> 00:54:21,000 Speaker 1: we think of the mccloskey's, it's just that like Mustard stage, Yeah, 886 00:54:21,120 --> 00:54:24,040 Speaker 1: like them, just like oh God, honey, let me get 887 00:54:24,040 --> 00:54:25,640 Speaker 1: my a R and you get your little gun and 888 00:54:25,640 --> 00:54:31,760 Speaker 1: we'll fight against progress. So they are now so apparently 889 00:54:31,920 --> 00:54:34,840 Speaker 1: this their their lawyers, UM and they have been apparently 890 00:54:34,880 --> 00:54:38,400 Speaker 1: are like very litigious. They're saying even before all this 891 00:54:38,440 --> 00:54:41,080 Speaker 1: ship went down in the summer, like they're just this 892 00:54:41,160 --> 00:54:42,959 Speaker 1: is how they get down. They like to sue people 893 00:54:43,040 --> 00:54:46,239 Speaker 1: or threatened people with lawsuits. And they're suing this up 894 00:54:46,400 --> 00:54:50,719 Speaker 1: I photographer for this photo because that photo has quote 895 00:54:50,760 --> 00:54:56,080 Speaker 1: contributed to their significant national recognition and infamy. Okay, And 896 00:54:56,160 --> 00:54:59,280 Speaker 1: in addition to suing the photographer and the news service, 897 00:54:59,480 --> 00:55:02,319 Speaker 1: they're also is suing that company, Red Bubble, you know, 898 00:55:02,440 --> 00:55:04,080 Speaker 1: or like you can just get ship printed on a 899 00:55:04,080 --> 00:55:07,440 Speaker 1: coffee mug or like a fucking phone case or like whatever, 900 00:55:07,560 --> 00:55:09,600 Speaker 1: you know, like all those there's like a plenty of 901 00:55:09,600 --> 00:55:13,960 Speaker 1: businesses like that. They're suing Red Bubble too, because they're 902 00:55:13,960 --> 00:55:17,480 Speaker 1: saying their image has proliferated across the world. Um. And 903 00:55:17,520 --> 00:55:20,879 Speaker 1: they say that with Red Bubble and Green Black the photographer, 904 00:55:21,200 --> 00:55:24,040 Speaker 1: they are profiting from T shirts, masks, and other items 905 00:55:24,040 --> 00:55:27,680 Speaker 1: and licensing use of photographs bearing their likeness without obtaining 906 00:55:27,680 --> 00:55:32,040 Speaker 1: their consent. And they said often their image on merchandise 907 00:55:32,239 --> 00:55:35,200 Speaker 1: sold by Red Bubble is accompanied with quote mocking and 908 00:55:35,200 --> 00:55:40,840 Speaker 1: pejorative taglines or captions, causing them quote humiliation, mental anguish, 909 00:55:41,040 --> 00:55:45,239 Speaker 1: and severe emotional distress. Also, uh, they also point out 910 00:55:45,360 --> 00:55:48,560 Speaker 1: that these people themselves used that photo on a personal 911 00:55:48,600 --> 00:55:51,360 Speaker 1: greeting card they made and sent out to fucking people 912 00:55:52,320 --> 00:55:55,239 Speaker 1: could be like ha ha stunting on them. You see us, 913 00:55:55,320 --> 00:55:57,560 Speaker 1: And now they're like, oh, we're suing. That's just that. 914 00:55:57,800 --> 00:56:03,080 Speaker 1: So now they're saying, um, they've humiliated us and and 915 00:56:03,080 --> 00:56:05,600 Speaker 1: and now we need to sue. I guess they know 916 00:56:05,840 --> 00:56:08,680 Speaker 1: very clearly that. I think as many people realize that 917 00:56:08,800 --> 00:56:12,840 Speaker 1: the white supremacist Mario Star that everyone was like glowing 918 00:56:12,920 --> 00:56:16,960 Speaker 1: with the last four years being like that ship is 919 00:56:16,960 --> 00:56:19,319 Speaker 1: wearing off now and they're like, oh, I can't. I 920 00:56:19,360 --> 00:56:21,520 Speaker 1: can't blow through walls like I used to anymore. Like 921 00:56:21,560 --> 00:56:24,600 Speaker 1: I'm straight up going like they're gonna remember me as 922 00:56:24,960 --> 00:56:29,960 Speaker 1: this racist trash couple who should not be practicing law. Yeah, 923 00:56:30,160 --> 00:56:32,400 Speaker 1: oh man, if they if they don't like having cameras 924 00:56:32,400 --> 00:56:35,360 Speaker 1: pointed at them, wait wait till they find out what 925 00:56:35,360 --> 00:56:38,480 Speaker 1: what guns are. Like. Yeah, I've heard people really don't 926 00:56:38,520 --> 00:56:41,879 Speaker 1: like having guns pointed at them. Sure, And I mean, 927 00:56:41,920 --> 00:56:45,399 Speaker 1: of course for for them all their notoriety and infamy. 928 00:56:45,440 --> 00:56:48,879 Speaker 1: I mean, it's not like they turned down the opportunity 929 00:56:48,960 --> 00:56:54,000 Speaker 1: to speak at the Republican National Convention. So we'll see 930 00:56:54,000 --> 00:56:58,759 Speaker 1: where this goes. All that all that recognition, Um, what 931 00:56:58,840 --> 00:57:01,920 Speaker 1: do you think that's like? Like obviously they feel some 932 00:57:01,960 --> 00:57:04,520 Speaker 1: type of way about it because they know, like aside 933 00:57:04,560 --> 00:57:07,720 Speaker 1: from the little group of other you know, Stevie racists 934 00:57:07,760 --> 00:57:09,520 Speaker 1: they hang out with, who might pat him on the back, 935 00:57:09,760 --> 00:57:11,960 Speaker 1: there's those moments or people like they're like, did you 936 00:57:12,000 --> 00:57:13,279 Speaker 1: just I don't know if you saw we were in 937 00:57:13,320 --> 00:57:17,400 Speaker 1: another post again from that one meme company, and it's 938 00:57:17,440 --> 00:57:20,000 Speaker 1: really it really makes us look bad, honey. I don't know. 939 00:57:20,320 --> 00:57:22,280 Speaker 1: I think we should sue, like if it's getting to them, 940 00:57:22,320 --> 00:57:25,600 Speaker 1: if people are if in their own family people keep 941 00:57:25,640 --> 00:57:30,920 Speaker 1: talking about them. But well, I mean with that those 942 00:57:30,960 --> 00:57:34,680 Speaker 1: outfits too, Like I don't know that i'd recognize either 943 00:57:34,760 --> 00:57:39,080 Speaker 1: of them in a Panera bread. So I wonder if 944 00:57:39,080 --> 00:57:42,280 Speaker 1: they're suing for being made to throw out those outfits, 945 00:57:42,320 --> 00:57:44,520 Speaker 1: like they can't wear those outfits in public. I mean, 946 00:57:44,560 --> 00:57:46,960 Speaker 1: the mustard stains on his pink polo shirt may have 947 00:57:47,000 --> 00:57:50,840 Speaker 1: already been a loss anyway. And and then her striped 948 00:57:50,920 --> 00:57:53,280 Speaker 1: I remember she had a black and white striped shirt, 949 00:57:53,320 --> 00:57:55,640 Speaker 1: he had a pink polo and they both were stained 950 00:57:55,680 --> 00:57:59,240 Speaker 1: with Mustard. Yeah, hey, we've all been there. I mean 951 00:57:59,320 --> 00:58:01,560 Speaker 1: she looked like to like the henchman from the old 952 00:58:01,560 --> 00:58:04,600 Speaker 1: Batman TV show. Yeah, like she looked like she was 953 00:58:04,640 --> 00:58:11,120 Speaker 1: already a cartoon villain. Yeah, it's all very cartoonish. And yeah, 954 00:58:13,320 --> 00:58:15,840 Speaker 1: it's weird how we've had like those moments and then 955 00:58:15,880 --> 00:58:19,280 Speaker 1: other ones like where I actually felt good to like 956 00:58:19,360 --> 00:58:22,000 Speaker 1: suddenly it's it's weird. It's it's starting to become like 957 00:58:22,120 --> 00:58:26,440 Speaker 1: more surreal. Uh as the calendar, your clocks down. Yeah, 958 00:58:26,520 --> 00:58:28,360 Speaker 1: the fact that that was in June, Like you could 959 00:58:28,360 --> 00:58:30,200 Speaker 1: have told me that was in March, or you could 960 00:58:30,240 --> 00:58:34,600 Speaker 1: have told me it was last week. Yeah. Yeah, I 961 00:58:34,640 --> 00:58:36,360 Speaker 1: was like, oh yeah, I remember Trump was re inaugurated 962 00:58:36,360 --> 00:58:39,520 Speaker 1: and then the mccloskey's pointed people, yet remember them. It's 963 00:58:39,600 --> 00:58:44,160 Speaker 1: right after FDR almost got shot. Yeah, that amazing flag 964 00:58:44,320 --> 00:58:48,960 Speaker 1: fight with Hoover, you know, obviously handled the economy so well. 965 00:58:49,000 --> 00:58:51,360 Speaker 1: It's not like inside out pockets were known as Hoover 966 00:58:51,480 --> 00:58:56,400 Speaker 1: flags back then. I mean that's just good branding by FDR. 967 00:58:56,920 --> 00:58:58,920 Speaker 1: Yeah I knew what he was doing. Yeah, that to 968 00:58:59,000 --> 00:59:01,560 Speaker 1: suppress the vote. A guy who came up with Hooverville's 969 00:59:01,600 --> 00:59:05,080 Speaker 1: and Hoover flags that's who. That's who cost me the election. 970 00:59:06,320 --> 00:59:10,120 Speaker 1: Uh JM, it's been a pleasure having you on the show. 971 00:59:10,160 --> 00:59:13,920 Speaker 1: Where can people find you and follow you? Oh? Thanks 972 00:59:13,920 --> 00:59:16,800 Speaker 1: for having me guys. You can find me on Twitter 973 00:59:16,960 --> 00:59:20,800 Speaker 1: at j m McNab again. I also co host a 974 00:59:20,840 --> 00:59:24,920 Speaker 1: movie podcast, rewatch Ability. You can find that anywhere anywhere 975 00:59:24,920 --> 00:59:28,640 Speaker 1: you get podcasts. And is there a tweet or some 976 00:59:28,720 --> 00:59:32,720 Speaker 1: other work of social media you've been enjoying? Oh I 977 00:59:33,000 --> 00:59:35,160 Speaker 1: I did. Uh. I don't know if you guys watched 978 00:59:35,160 --> 00:59:38,480 Speaker 1: Gravity Falls, but the guy who created it, and there's 979 00:59:38,480 --> 00:59:41,160 Speaker 1: a lot of the voices, Alex Hirsch has been calling 980 00:59:41,200 --> 00:59:46,440 Speaker 1: into the Trump voter fraud hotline as Gravity Falls characters, 981 00:59:47,400 --> 00:59:49,880 Speaker 1: which has been pretty enjoyable. So if you go to him, 982 00:59:49,920 --> 00:59:55,000 Speaker 1: he's at Underscore Alex Hirsch on Twitter, Uh, miles, where 983 00:59:55,000 --> 00:59:57,440 Speaker 1: can people find you and follow you? Almost tweet you've 984 00:59:57,440 --> 01:00:02,360 Speaker 1: been enjoying? Oh man? And I've been on Twitter and 985 01:00:02,440 --> 01:00:06,280 Speaker 1: Instagram as Miles of Gray. That's where you can find 986 01:00:06,320 --> 01:00:10,480 Speaker 1: me there. I haven't been on I don't know, but 987 01:00:10,680 --> 01:00:13,360 Speaker 1: I did see this one tweet. I will say someone 988 01:00:13,440 --> 01:00:16,320 Speaker 1: retweeted it just because at the levels of denial are 989 01:00:16,320 --> 01:00:20,280 Speaker 1: really something else. Someone is comparing the vote count in 990 01:00:20,280 --> 01:00:23,600 Speaker 1: the state of Washington, saying like, Okay, so this is weird, 991 01:00:23,680 --> 01:00:26,760 Speaker 1: Like over three point eight million votes were cast in Washington, 992 01:00:27,080 --> 01:00:30,520 Speaker 1: yet there's only six four thousand people that live in Washington. 993 01:00:30,960 --> 01:00:34,360 Speaker 1: And in this person's screen caps, they don't even see 994 01:00:34,680 --> 01:00:38,720 Speaker 1: that the population they're looking at is the population of Washington, 995 01:00:39,160 --> 01:00:44,040 Speaker 1: District of Columbia, d C. A very small part of 996 01:00:44,080 --> 01:00:47,280 Speaker 1: the country where the capital is, and the state of Washington. 997 01:00:47,520 --> 01:00:50,920 Speaker 1: And still out here like they're like, what the funk 998 01:00:51,000 --> 01:00:54,080 Speaker 1: is going on in our country? Clearly it's a failure 999 01:00:54,120 --> 01:00:58,280 Speaker 1: of the education system for starters. So that's that's point one. 1000 01:00:58,840 --> 01:01:00,520 Speaker 1: Uh and then from there, who knows, I mean, white 1001 01:01:00,520 --> 01:01:03,760 Speaker 1: supremacies completely rotting people's brain. So it's a few different things. 1002 01:01:04,040 --> 01:01:07,840 Speaker 1: M hmmm. Tweet I've been enjoying. Dan White tweeted just 1003 01:01:07,880 --> 01:01:10,920 Speaker 1: found out my dentist doesn't buy back old teeth. I 1004 01:01:10,920 --> 01:01:14,920 Speaker 1: thought it was like a GameStop situation. Apparently they quote 1005 01:01:15,000 --> 01:01:18,560 Speaker 1: have literally no use for old teeth, quote couldn't use 1006 01:01:18,600 --> 01:01:22,040 Speaker 1: them if they wanted to, and quote need some kind 1007 01:01:22,080 --> 01:01:27,560 Speaker 1: of explanation for where all these teeth came from. I 1008 01:01:27,640 --> 01:01:29,919 Speaker 1: love that guy. You can find me on Twitter, Jack 1009 01:01:30,000 --> 01:01:32,520 Speaker 1: Underscore O'Brian. You can find us on Twitter at Daily's 1010 01:01:32,560 --> 01:01:35,080 Speaker 1: Like Guys, We're at the dailies like Geist on Instagram. 1011 01:01:35,120 --> 01:01:37,760 Speaker 1: We have a Facebook fan page and a website Daily's 1012 01:01:37,800 --> 01:01:40,240 Speaker 1: like Guys dot com, where we post our episodes and 1013 01:01:40,320 --> 01:01:43,520 Speaker 1: our footnotes. We link off to the information that we 1014 01:01:43,560 --> 01:01:45,920 Speaker 1: talked about in today's episode, as well as the song 1015 01:01:46,040 --> 01:01:48,480 Speaker 1: we ride out on miles. What are we riding out 1016 01:01:48,480 --> 01:01:51,880 Speaker 1: on today? Just high energy, you know, we're just gonna 1017 01:01:51,920 --> 01:01:56,000 Speaker 1: get our our shoulders shaken, our toes happened. Uh. This 1018 01:01:56,120 --> 01:01:59,640 Speaker 1: is a track from Use of Days uh and pass 1019 01:01:59,680 --> 01:02:02,560 Speaker 1: Ali you. It's called front Line and it's just got 1020 01:02:02,640 --> 01:02:05,960 Speaker 1: like you, dude, use of so nasty on the drums uh, 1021 01:02:06,000 --> 01:02:10,120 Speaker 1: And I've played other works of his before, but this 1022 01:02:10,160 --> 01:02:12,840 Speaker 1: one it just got like it's almost like, I don't know, 1023 01:02:12,920 --> 01:02:16,000 Speaker 1: drum and bassie live drums, Uh, just good energy. So 1024 01:02:16,160 --> 01:02:18,720 Speaker 1: that's what we need to start. I'm trying to reinvigorate 1025 01:02:18,760 --> 01:02:22,080 Speaker 1: my body because I am exhausted. I think I keep 1026 01:02:22,080 --> 01:02:24,520 Speaker 1: saying that, but I'm really like, as the days we're 1027 01:02:24,640 --> 01:02:29,720 Speaker 1: on from Tuesday, I'm like more and more like, what 1028 01:02:30,120 --> 01:02:32,320 Speaker 1: have I become a risk of a man? I feel 1029 01:02:32,360 --> 01:02:35,720 Speaker 1: more like completely worn out from the last week, and 1030 01:02:35,800 --> 01:02:39,200 Speaker 1: I feel like I need to give myself that Like, yeah, 1031 01:02:39,240 --> 01:02:41,680 Speaker 1: well it's weird because we started this show as like 1032 01:02:41,720 --> 01:02:46,360 Speaker 1: a response to the administration and then like we've gotten 1033 01:02:46,400 --> 01:02:49,560 Speaker 1: to this point and now it's like fuck and there's 1034 01:02:49,560 --> 01:02:52,960 Speaker 1: still so much more to do. But also like we 1035 01:02:53,200 --> 01:02:55,560 Speaker 1: I think we very much. Also, I think all people 1036 01:02:55,600 --> 01:02:58,240 Speaker 1: need to figure out how to give themselves just a 1037 01:02:58,280 --> 01:03:02,280 Speaker 1: moment of reflection and rest, because like it's it's not old, 1038 01:03:02,520 --> 01:03:04,280 Speaker 1: and the only way we're going to keep going is 1039 01:03:04,280 --> 01:03:08,720 Speaker 1: if we properly take a rest, properly exect victories around 1040 01:03:08,760 --> 01:03:11,760 Speaker 1: you feel good because you gotta keep the batteries. Got 1041 01:03:11,760 --> 01:03:14,400 Speaker 1: to be full, uh to stay in it. So you know, 1042 01:03:15,080 --> 01:03:18,160 Speaker 1: we'll be figuring out ways to charge our batter I'm 1043 01:03:18,160 --> 01:03:21,040 Speaker 1: telling you. Murder Root, Yeah, yeah, I think on my 1044 01:03:21,120 --> 01:03:23,840 Speaker 1: hop in off because I loved I remember as a kid, 1045 01:03:23,840 --> 01:03:25,680 Speaker 1: I loved it because I was like, oh man, look 1046 01:03:25,680 --> 01:03:29,600 Speaker 1: at this nicely. My best friend Chris got real into Murder, 1047 01:03:29,640 --> 01:03:33,680 Speaker 1: she wrote after we graduated, just like Fount literally nothing 1048 01:03:33,720 --> 01:03:41,200 Speaker 1: else than which is like all right, the daily like guys, 1049 01:03:41,240 --> 01:03:43,520 Speaker 1: the production of I Heart Radio. For more podcasts from 1050 01:03:43,520 --> 01:03:45,840 Speaker 1: my Heart Radio. Visit the I Heart Radio app, Apple 1051 01:03:45,920 --> 01:03:49,040 Speaker 1: podcast wherever you listen your favorite shows. That's gonna do 1052 01:03:49,120 --> 01:03:52,360 Speaker 1: it for this morning. We'll be back this afternoon to 1053 01:03:52,400 --> 01:03:54,960 Speaker 1: tell you what's trending, and we'll talk to you all then. 1054 01:03:55,160 --> 01:04:01,280 Speaker 1: By by I mean if I gonna take all my rooms, 1055 01:04:01,320 --> 01:04:03,280 Speaker 1: get out, rise and take gave your ships off you 1056 01:04:03,400 --> 01:04:05,240 Speaker 1: there your night. You just my fist that you see. 1057 01:04:05,280 --> 01:04:07,120 Speaker 1: You want it. For my money I made, I grant 1058 01:04:07,120 --> 01:04:08,560 Speaker 1: the levee, and they pay for my sins, for my 1059 01:04:08,640 --> 01:04:10,640 Speaker 1: dead bullish whiz. For my money I made, I'll grant 1060 01:04:10,680 --> 01:04:12,959 Speaker 1: the levy. Who has been on these de bulish wis. 1061 01:04:13,240 --> 01:04:15,400 Speaker 1: They don't know about them. Love life. Still doing my 1062 01:04:15,480 --> 01:04:18,640 Speaker 1: day on full life. There, oh, I'm all right, Still 1063 01:04:18,640 --> 01:04:21,000 Speaker 1: doing my life in a fun life. They girl rut 1064 01:04:21,040 --> 01:04:23,360 Speaker 1: the block side. Still doing my day on full life. 1065 01:04:23,680 --> 01:04:25,960 Speaker 1: Niggas don't cut it in the six side. Still doing 1066 01:04:26,000 --> 01:04:29,040 Speaker 1: my in the side, Like, who's forfending on my life? 1067 01:04:29,320 --> 01:04:30,440 Speaker 1: I still happening off with the