1 00:00:01,840 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:06,200 --> 00:00:10,720 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty arm Strong 3 00:00:10,800 --> 00:00:17,800 Speaker 1: and Jetty and now he Armstrong and Yetty. 4 00:00:23,680 --> 00:00:27,680 Speaker 2: So you, Penn has stripped Leah Thomas of his titles 5 00:00:27,720 --> 00:00:31,880 Speaker 2: in women's swimming and apologized to the ladies he defeated. 6 00:00:33,920 --> 00:00:37,760 Speaker 2: Thomas hasn't complained further, proving he's not a woman. 7 00:00:42,600 --> 00:00:48,280 Speaker 3: I didn't see that joke coming. So Penn State took 8 00:00:48,800 --> 00:00:49,800 Speaker 3: the menpen. 9 00:00:51,000 --> 00:00:52,000 Speaker 1: University of Pennsylvanca. 10 00:00:52,000 --> 00:00:53,360 Speaker 3: That's how I thought it was. It's just Penn State 11 00:00:53,400 --> 00:00:56,480 Speaker 3: on our clip, so I got confused. But iron bastards. 12 00:00:57,000 --> 00:00:59,080 Speaker 3: Uh sorry, that was harsh. 13 00:00:58,840 --> 00:01:01,120 Speaker 4: You folks. That he's my friends and look at it. 14 00:01:01,280 --> 00:01:07,119 Speaker 4: I can't. I'm so sorry, Michael Vanston, I'm kids. 15 00:01:06,720 --> 00:01:09,280 Speaker 1: These are my friends. And I turned on the like 16 00:01:09,360 --> 00:01:11,880 Speaker 1: some sort of crazed in a wolverine. It hurt. 17 00:01:12,160 --> 00:01:16,200 Speaker 3: But the But the same university who allowed this for 18 00:01:16,440 --> 00:01:21,280 Speaker 3: several years in the face of criticism, has now taken 19 00:01:20,920 --> 00:01:26,200 Speaker 3: and and and brow beat and threatened any of the 20 00:01:26,400 --> 00:01:30,280 Speaker 3: women who spoke out against it. Yes, well, I guess 21 00:01:30,280 --> 00:01:36,480 Speaker 3: I should be happy that it ended up where it should. 22 00:01:36,160 --> 00:01:37,039 Speaker 1: Have should be. 23 00:01:37,880 --> 00:01:42,000 Speaker 3: But how cowardly are you? I mean, do you have 24 00:01:42,120 --> 00:01:46,040 Speaker 3: any principles at all? So when the wind was blowing 25 00:01:46,120 --> 00:01:50,320 Speaker 3: your direction, you let this nonsense occur, and then when 26 00:01:50,320 --> 00:01:53,360 Speaker 3: the wind shifted, you go one hundred. 27 00:01:53,000 --> 00:01:57,200 Speaker 1: And eighty full degrees. Yeah, wow, that's weak. 28 00:01:58,440 --> 00:02:01,960 Speaker 4: Well, they were under serious Title line threat from the 29 00:02:02,000 --> 00:02:05,800 Speaker 4: Trump administration, which is good. It's absolutely one hundred percent 30 00:02:05,880 --> 00:02:10,519 Speaker 4: ironclad correct. If you let dudes into women's sports, whoop 31 00:02:10,600 --> 00:02:13,800 Speaker 4: up on them, you're not protecting women's rights. Oh and 32 00:02:13,880 --> 00:02:16,799 Speaker 4: letting the dudes into their private spaces too. It's an 33 00:02:16,800 --> 00:02:18,360 Speaker 4: outrage against Title nine. 34 00:02:19,960 --> 00:02:20,720 Speaker 1: A couple of things. 35 00:02:20,760 --> 00:02:22,880 Speaker 3: I'm going through my notes from being on vacation for 36 00:02:22,880 --> 00:02:24,560 Speaker 3: a week, and just a lot of different things I 37 00:02:24,560 --> 00:02:26,760 Speaker 3: took notes on. I didn't follow the news that closely 38 00:02:28,200 --> 00:02:30,320 Speaker 3: in New York, though, I kept coming across a little 39 00:02:30,360 --> 00:02:37,000 Speaker 3: stuff about Mamdani, who had been the socialist Jew hating 40 00:02:37,960 --> 00:02:40,760 Speaker 3: most likely to be mayor of New York. Guy, I 41 00:02:40,800 --> 00:02:45,080 Speaker 3: remember that story. The op ed stuff, the oppo research 42 00:02:45,120 --> 00:02:48,120 Speaker 3: stuff is starting to come out. Remember I mentioned this 43 00:02:48,160 --> 00:02:50,959 Speaker 3: before we went on vacation, that Mark Alpern was shocked 44 00:02:51,720 --> 00:02:53,880 Speaker 3: that the mainstream media did not do a better job 45 00:02:53,960 --> 00:02:56,400 Speaker 3: of getting into the apple research of this guy, and 46 00:02:56,440 --> 00:02:59,000 Speaker 3: now some of it's starting to come out, things that 47 00:02:59,000 --> 00:03:02,840 Speaker 3: they'd tweeted and said and videos he participated in this 48 00:03:02,880 --> 00:03:04,680 Speaker 3: sort of stuff. But one of the things over the 49 00:03:04,680 --> 00:03:10,080 Speaker 3: weekend was he had checked. He was accurate. He wasn't lying, 50 00:03:10,240 --> 00:03:13,160 Speaker 3: but it's he knew what he was doing. He had 51 00:03:13,240 --> 00:03:16,440 Speaker 3: checked the box African American when he applied for college 52 00:03:18,440 --> 00:03:22,280 Speaker 3: his Ivy League application. He's from Uganda. But you know, 53 00:03:22,400 --> 00:03:26,120 Speaker 3: the whole getting a leg up for being African American 54 00:03:26,280 --> 00:03:30,359 Speaker 3: was not for white Ugandans was not the regional point. 55 00:03:31,040 --> 00:03:33,520 Speaker 3: So there's a fair amount of blowback I guess in 56 00:03:33,560 --> 00:03:37,840 Speaker 3: the African American community that he tried to get various 57 00:03:37,840 --> 00:03:40,280 Speaker 3: breaks for being African American. 58 00:03:41,840 --> 00:03:45,320 Speaker 1: You see, So what is his deal? Was his dad? 59 00:03:45,600 --> 00:03:49,000 Speaker 4: His dad was a white Ugandan and his mom was 60 00:03:49,040 --> 00:03:52,880 Speaker 4: what from he was born in Syria. 61 00:03:53,120 --> 00:03:55,960 Speaker 1: I can't even something like that. Yeah he comes from 62 00:03:56,200 --> 00:03:56,680 Speaker 1: you know, like. 63 00:03:57,240 --> 00:04:01,920 Speaker 3: Humanities professors and artist parents that sort of thing. 64 00:04:02,240 --> 00:04:03,480 Speaker 1: Yeah, yeah, But. 65 00:04:03,480 --> 00:04:06,560 Speaker 3: Anyway, so I don't know if there's gonna be enough, Damagy, 66 00:04:06,560 --> 00:04:09,800 Speaker 3: you gotta have another candidate to beat him. So that 67 00:04:10,200 --> 00:04:13,320 Speaker 3: seems like the main problem. Although does Eric Adams end 68 00:04:13,400 --> 00:04:15,000 Speaker 3: up being the guy, and they. 69 00:04:16,440 --> 00:04:19,240 Speaker 4: There are fever pitch meetings going on as we speak 70 00:04:19,320 --> 00:04:22,320 Speaker 4: trying to figure out who is the one candidate, Probably 71 00:04:22,360 --> 00:04:26,600 Speaker 4: not old Gropie, probably not the half wit incumbent. 72 00:04:26,720 --> 00:04:29,000 Speaker 3: They got to find somebody else, not my circus, not 73 00:04:29,160 --> 00:04:31,640 Speaker 3: my monkeys. So I'm not that concerned about it. I 74 00:04:31,640 --> 00:04:36,719 Speaker 3: don't live in New York, but I think most people 75 00:04:36,720 --> 00:04:38,640 Speaker 3: on the right think having this guy around as a 76 00:04:38,680 --> 00:04:40,560 Speaker 3: punching bag would be awesome. 77 00:04:40,839 --> 00:04:45,120 Speaker 4: For questions further my goal of enacting progressive policies so 78 00:04:45,120 --> 00:04:48,479 Speaker 4: people see what miserable failures they are. You got Daniel Lurie, 79 00:04:48,600 --> 00:04:53,239 Speaker 4: the mayor of San Francisco, who's is saying great stuff 80 00:04:53,279 --> 00:04:56,440 Speaker 4: and doing great things. And you know, as he said, 81 00:04:56,600 --> 00:05:01,719 Speaker 4: I'm paraphrasing, but enough of the fees and the wannabe 82 00:05:01,760 --> 00:05:04,440 Speaker 4: do gooders that we didn't need to go with things 83 00:05:04,480 --> 00:05:05,200 Speaker 4: that work. 84 00:05:06,480 --> 00:05:08,400 Speaker 1: What an amazing philosophy that is. 85 00:05:08,640 --> 00:05:10,360 Speaker 3: Again, going through my notes from when I was gone, 86 00:05:10,400 --> 00:05:13,240 Speaker 3: I came across this quote which I really liked. The 87 00:05:13,279 --> 00:05:16,800 Speaker 3: big difference between me and Superman is Superman had supervision 88 00:05:17,040 --> 00:05:18,440 Speaker 3: and I need supervision. 89 00:05:19,760 --> 00:05:20,279 Speaker 1: That was funny. 90 00:05:21,480 --> 00:05:24,039 Speaker 3: At one of the airports, I think it was LaGuardia, 91 00:05:24,520 --> 00:05:27,080 Speaker 3: which man looked was at Newark, you know where they've 92 00:05:27,080 --> 00:05:30,400 Speaker 3: been having the troubles, and LaGuardia looked fantastic. I remember 93 00:05:30,400 --> 00:05:33,360 Speaker 3: when Trump was president and he was complaining about why 94 00:05:33,360 --> 00:05:36,479 Speaker 3: do our New York airports look so dingy and dirty? 95 00:05:36,560 --> 00:05:38,400 Speaker 3: And you go around the world and they're bright and 96 00:05:38,800 --> 00:05:41,960 Speaker 3: they're they're nice. Now it's like a really nice mall, 97 00:05:42,080 --> 00:05:44,240 Speaker 3: both of them if you haven't been there recently. So 98 00:05:44,600 --> 00:05:46,880 Speaker 3: I don't know how much taxpayer money from where went 99 00:05:46,880 --> 00:05:49,680 Speaker 3: into that, but that definitely got fixed. But one of 100 00:05:49,680 --> 00:05:52,800 Speaker 3: the airports had an AI barista and there was a 101 00:05:52,839 --> 00:05:54,719 Speaker 3: long line there. I didn't try it, but it must 102 00:05:54,720 --> 00:05:57,640 Speaker 3: have worked pretty well. It was just a little shack 103 00:05:57,800 --> 00:06:00,799 Speaker 3: thing with computer screens and you apparently typed in whatever 104 00:06:00,800 --> 00:06:04,000 Speaker 3: you wanted for all kinds of different complicated coffee drinks, 105 00:06:04,400 --> 00:06:06,760 Speaker 3: and it was made there for you by the computer. 106 00:06:07,040 --> 00:06:09,400 Speaker 1: I don't know how much AI was involved in it. 107 00:06:09,400 --> 00:06:12,240 Speaker 3: It's a good hooks just about to ask good hook 108 00:06:12,320 --> 00:06:15,720 Speaker 3: But that is definitely gonna be way way more common 109 00:06:15,720 --> 00:06:18,960 Speaker 3: as we go along. Of you get your coffee, you 110 00:06:19,000 --> 00:06:21,960 Speaker 3: get your bagel, you get your parking ticket. 111 00:06:23,200 --> 00:06:25,599 Speaker 1: Pass for parking or whatever. It is it's all. 112 00:06:25,440 --> 00:06:29,279 Speaker 3: Computerized, no human being involved, which is not good for 113 00:06:29,320 --> 00:06:32,000 Speaker 3: a lot of low level of employment. But as far 114 00:06:32,040 --> 00:06:35,839 Speaker 3: as AI chat GPT, I used it so much while 115 00:06:35,839 --> 00:06:42,000 Speaker 3: on vacation, I haven't Googled anything in weeks, and I've 116 00:06:42,040 --> 00:06:46,800 Speaker 3: read about how Google clicks are down and they're really 117 00:06:46,839 --> 00:06:47,839 Speaker 3: in a panic about that. 118 00:06:48,120 --> 00:06:50,400 Speaker 1: Because, oh, yeah, way down. Revenue is dying. 119 00:06:50,640 --> 00:06:52,880 Speaker 3: Well, how would it not be once you start using 120 00:06:52,920 --> 00:06:55,960 Speaker 3: chat GPT. Why would I ever google anything? 121 00:06:56,200 --> 00:06:57,880 Speaker 1: Ever? Again, it's just. 122 00:06:57,800 --> 00:07:02,080 Speaker 4: Whatever AI system you prefer. Yeah, I accidentally google something 123 00:07:02,120 --> 00:07:03,440 Speaker 4: out of habit on vacation. 124 00:07:03,520 --> 00:07:05,160 Speaker 1: I was like, what the hell am I doing? 125 00:07:05,279 --> 00:07:10,080 Speaker 4: Is? I sort through sponsored, sponsored, sponsored, totally irrelevant sponsored please. 126 00:07:10,200 --> 00:07:12,840 Speaker 3: Including the fact that chat GPT, as I've talked about, 127 00:07:12,920 --> 00:07:17,200 Speaker 3: keeps track of your conversations and like knows what you're doing, 128 00:07:17,720 --> 00:07:24,720 Speaker 3: so that makes things handy. So landed at Newark and 129 00:07:24,800 --> 00:07:27,320 Speaker 3: I asked chit GPT, what's the best way to get 130 00:07:27,360 --> 00:07:31,000 Speaker 3: to the Knickerbocker Hotel in Manhattan and it said, thinking 131 00:07:31,160 --> 00:07:33,960 Speaker 3: of this time of day with you landing now, Normally 132 00:07:34,000 --> 00:07:35,960 Speaker 3: I would say take a lift or an uber if 133 00:07:36,000 --> 00:07:37,640 Speaker 3: you're willing to pay, but I think this time of 134 00:07:37,720 --> 00:07:40,960 Speaker 3: day you're better off taking the ground transportation. So as 135 00:07:40,960 --> 00:07:43,200 Speaker 3: soon as you walk out of your gate, take a left. 136 00:07:43,480 --> 00:07:46,440 Speaker 3: But it just walked me through the whole process of 137 00:07:46,480 --> 00:07:49,000 Speaker 3: getting to the train or bus that took me to 138 00:07:49,040 --> 00:07:51,000 Speaker 3: the train that took me wherever I needed to go. 139 00:07:51,080 --> 00:07:52,760 Speaker 1: It was in a way that Google never could. 140 00:07:52,920 --> 00:07:55,760 Speaker 3: It was like having a really smart New Yorker explain 141 00:07:55,800 --> 00:07:57,040 Speaker 3: to me exactly what to do. 142 00:07:57,880 --> 00:08:01,600 Speaker 1: Yeah, that's amazing. Yeah, it's great. 143 00:08:01,600 --> 00:08:04,280 Speaker 4: I think, and later, I mean, it's it's so complex, 144 00:08:04,320 --> 00:08:06,400 Speaker 4: it's amazing. I think later I asked some sort of 145 00:08:06,480 --> 00:08:09,880 Speaker 4: question about something, and it said, since you've already walked by. 146 00:08:11,520 --> 00:08:14,280 Speaker 1: Penn Station, maybe go this route so you can see, 147 00:08:14,360 --> 00:08:18,920 Speaker 1: you know. I just it's amazing. Yeah, yeah, it's it's 148 00:08:18,960 --> 00:08:21,760 Speaker 1: scary too. In a way, it is very very very 149 00:08:21,800 --> 00:08:22,080 Speaker 1: much so. 150 00:08:22,760 --> 00:08:25,000 Speaker 4: But I I let me be the first to welcome 151 00:08:25,040 --> 00:08:26,600 Speaker 4: our new AI overlords. 152 00:08:27,520 --> 00:08:27,960 Speaker 1: Yeah. 153 00:08:27,760 --> 00:08:29,560 Speaker 4: I use it all the time now and I look 154 00:08:29,640 --> 00:08:33,040 Speaker 4: back at stuff I looked at before to refresh. 155 00:08:32,679 --> 00:08:35,560 Speaker 1: My memory, and it's it's it's terrific. Yeah. 156 00:08:35,640 --> 00:08:38,080 Speaker 3: Yeah, in the past, I would have Googled or tried 157 00:08:38,080 --> 00:08:40,240 Speaker 3: to figure it out. We're headed to the met what's 158 00:08:40,240 --> 00:08:43,160 Speaker 3: the best way subway station? Just to the left out 159 00:08:43,200 --> 00:08:46,360 Speaker 3: of your hotel door, take the one train and. 160 00:08:47,480 --> 00:08:48,480 Speaker 1: Then follow ups too. 161 00:08:48,760 --> 00:08:52,480 Speaker 4: Yeah, you know, is everybody a capable walker or do 162 00:08:52,520 --> 00:08:54,960 Speaker 4: you want a route that that helps people who are 163 00:08:54,960 --> 00:08:55,640 Speaker 4: older or whatever. 164 00:08:55,760 --> 00:08:56,720 Speaker 1: Yeah, it's just amazing. 165 00:08:56,840 --> 00:09:00,760 Speaker 3: Yeah, yeah, yeah, yeah, And like you said, it's amazing 166 00:09:00,800 --> 00:09:04,080 Speaker 3: and cool and scary at the same time. I freaking 167 00:09:04,240 --> 00:09:07,200 Speaker 3: think New York is fantastic. It's hard for me to 168 00:09:07,280 --> 00:09:10,280 Speaker 3: not dislike New Yorkers and their pompous attitude. But the 169 00:09:10,320 --> 00:09:13,280 Speaker 3: reason they have that we're better than everybody else's attitude 170 00:09:13,400 --> 00:09:15,200 Speaker 3: is New York is better than everyone else. 171 00:09:15,320 --> 00:09:18,240 Speaker 1: It just is. It's just just it's the best. Everything. 172 00:09:18,400 --> 00:09:20,720 Speaker 3: Everything you'd ever want to do in the world is 173 00:09:20,800 --> 00:09:23,520 Speaker 3: right there within a couple of blocks. 174 00:09:23,520 --> 00:09:24,880 Speaker 1: It's just been fantastic. 175 00:09:24,960 --> 00:09:26,559 Speaker 3: I can see how if you lived there and got 176 00:09:26,600 --> 00:09:28,840 Speaker 3: to have that life, you would think that everybody else 177 00:09:28,920 --> 00:09:31,000 Speaker 3: is living a lesser life. I sure as heck would 178 00:09:31,120 --> 00:09:32,960 Speaker 3: want to raise kids there. I can't even imagine what 179 00:09:33,000 --> 00:09:33,400 Speaker 3: that's like. 180 00:09:33,720 --> 00:09:36,840 Speaker 4: Oh yeah, there's substantial downsides, but you know, if you know, 181 00:09:36,960 --> 00:09:38,800 Speaker 4: if if you want to get out and do things 182 00:09:38,840 --> 00:09:42,600 Speaker 4: like that, and you know, it's great, it's a great place, 183 00:09:42,800 --> 00:09:43,240 Speaker 4: no doubt. 184 00:09:43,280 --> 00:09:45,720 Speaker 3: I still hope to do one year of my life. 185 00:09:45,760 --> 00:09:47,280 Speaker 3: I'd like to live in New York for one year. 186 00:09:47,360 --> 00:09:49,600 Speaker 3: I still hope to do that at some point. Oh, really, 187 00:09:49,800 --> 00:09:51,480 Speaker 3: just to experience everything. 188 00:09:51,600 --> 00:09:51,920 Speaker 1: I would. 189 00:09:51,920 --> 00:09:53,120 Speaker 3: You know, it would have been better to do it 190 00:09:53,120 --> 00:09:55,720 Speaker 3: when I was like twenty three, probably, but I could 191 00:09:55,720 --> 00:09:57,400 Speaker 3: go to the museum every day, and it would take 192 00:09:57,440 --> 00:10:00,199 Speaker 3: you a lifetime to take a year longer to see 193 00:10:00,200 --> 00:10:04,480 Speaker 3: everything in the museums. I did have the museum experience 194 00:10:04,520 --> 00:10:07,400 Speaker 3: that I always have, where you've got about an hour 195 00:10:07,520 --> 00:10:10,079 Speaker 3: in you of being amazed by things, and then after 196 00:10:10,120 --> 00:10:13,400 Speaker 3: that there is nothing that could possibly amaze you in ouritanium. 197 00:10:13,559 --> 00:10:14,520 Speaker 1: After about an hour. 198 00:10:14,800 --> 00:10:17,040 Speaker 4: Well, and the other people at the museum start to 199 00:10:17,040 --> 00:10:18,880 Speaker 4: annoy the hell out of you too, or I will 200 00:10:18,880 --> 00:10:20,520 Speaker 4: speak for myself, the annoy the hell out of me, 201 00:10:20,679 --> 00:10:23,840 Speaker 4: especially you know, once you get past one pm, get 202 00:10:23,880 --> 00:10:25,840 Speaker 4: out the museum you're talking about. 203 00:10:25,880 --> 00:10:28,480 Speaker 1: Oh, we got there early and it was still crowded. 204 00:10:29,280 --> 00:10:31,440 Speaker 3: I went to the Whitney at nine o'clock at night 205 00:10:31,480 --> 00:10:33,800 Speaker 3: and it was practically empty, and it was absolutely fantastic. 206 00:10:34,440 --> 00:10:37,120 Speaker 1: I asked this question last time. I forget what the 207 00:10:37,280 --> 00:10:39,520 Speaker 1: museum is that the whole Whitney. 208 00:10:39,360 --> 00:10:41,920 Speaker 3: The Whitney is mostly American art, and I'm a big 209 00:10:42,120 --> 00:10:44,280 Speaker 3: Hopper fan, Edward Hopper fan, and that's where all your 210 00:10:44,360 --> 00:10:47,360 Speaker 3: Edward Hopper art is going to be. So that's what 211 00:10:47,400 --> 00:10:50,560 Speaker 3: I was there for. My point was I'd been to 212 00:10:50,840 --> 00:10:52,920 Speaker 3: a museums a while back and talked about this. What 213 00:10:53,080 --> 00:10:56,040 Speaker 3: percentage of people at a museum want to be there? 214 00:10:56,280 --> 00:10:59,080 Speaker 3: And I think we should work on getting out the 215 00:10:59,120 --> 00:11:01,599 Speaker 3: people who don't want to be there. I asked my 216 00:11:01,679 --> 00:11:03,640 Speaker 3: kids this when we were leaving. My son said maybe 217 00:11:03,720 --> 00:11:06,120 Speaker 3: fifty percent. I said, I think it's lower than that. 218 00:11:06,480 --> 00:11:08,560 Speaker 3: You take a couple. You look at the couple and 219 00:11:08,600 --> 00:11:10,840 Speaker 3: it looks like either the dude or the chicks into it, 220 00:11:10,880 --> 00:11:13,120 Speaker 3: and the other person is along to be nice. And 221 00:11:13,160 --> 00:11:15,680 Speaker 3: then any family, none of the kids want to be there. 222 00:11:15,800 --> 00:11:17,960 Speaker 3: So you got two parents and three kids, none of 223 00:11:18,000 --> 00:11:20,040 Speaker 3: them want to be there. So I think it's maybe 224 00:11:20,120 --> 00:11:22,640 Speaker 3: thirty percent of the people in the building want to 225 00:11:22,679 --> 00:11:23,000 Speaker 3: be there. 226 00:11:25,360 --> 00:11:26,319 Speaker 1: Why so, why do we. 227 00:11:26,280 --> 00:11:29,920 Speaker 4: Do your recommend like video games, c an arcade for 228 00:11:29,960 --> 00:11:33,000 Speaker 4: the kids, and I don't know, big screen TVs for 229 00:11:33,040 --> 00:11:34,320 Speaker 4: the fellows who don't want to be there. 230 00:11:34,480 --> 00:11:36,360 Speaker 3: Leave them in the hotel and let them watch TV 231 00:11:36,520 --> 00:11:38,200 Speaker 3: or something. And then go on your own I think 232 00:11:38,480 --> 00:11:40,800 Speaker 3: cells holding cells. 233 00:11:40,840 --> 00:11:42,760 Speaker 1: I don't know, I'm thinking out loud. I did see where? 234 00:11:42,760 --> 00:11:45,680 Speaker 3: Did I see some of those rooms that you can 235 00:11:46,120 --> 00:11:48,640 Speaker 3: like they're kiosks with beds in them. We've talked about 236 00:11:48,679 --> 00:11:51,120 Speaker 3: this before. I didn't use one. It seems so gross 237 00:11:51,160 --> 00:11:53,360 Speaker 3: to me. I don't know if they clean the shell out, 238 00:11:53,400 --> 00:11:55,920 Speaker 3: they clean the sheets, but it was like a little hut. 239 00:11:56,000 --> 00:11:58,480 Speaker 1: Yes, every time, every customer, and. 240 00:11:58,440 --> 00:11:59,839 Speaker 3: You can pay money to go in there and take 241 00:11:59,840 --> 00:12:03,120 Speaker 3: a little snooze. I guess I love that idea so much. 242 00:12:03,160 --> 00:12:05,880 Speaker 4: I wish I could like have one carted around behind 243 00:12:05,920 --> 00:12:08,360 Speaker 4: me on some sort of trailer. Just wherever I go, 244 00:12:08,440 --> 00:12:12,120 Speaker 4: wherever I am, there's a nap module ready to be used. 245 00:12:12,160 --> 00:12:14,400 Speaker 1: It just a little sleepy time, just a little twenty 246 00:12:14,440 --> 00:12:14,880 Speaker 1: minute cat. 247 00:12:14,920 --> 00:12:17,320 Speaker 4: Now, if it's my own private nap module, sure, but 248 00:12:17,360 --> 00:12:20,000 Speaker 4: if it's a public nap module where people like we're 249 00:12:20,040 --> 00:12:21,360 Speaker 4: shooting up and having sex in. 250 00:12:21,320 --> 00:12:23,920 Speaker 1: There, I find it. You're got to go to a 251 00:12:23,960 --> 00:12:24,880 Speaker 1: better module. 252 00:12:25,120 --> 00:12:28,040 Speaker 3: I have trouble getting to sleep laying in other people's fluids. 253 00:12:28,080 --> 00:12:28,760 Speaker 1: I'm just funny that. 254 00:12:28,960 --> 00:12:34,400 Speaker 4: Oh so you're disgusting, Michael, that's disgusting. Yes, Well, because 255 00:12:34,440 --> 00:12:37,960 Speaker 4: that's not how it works. Nobody does that. Nobody could 256 00:12:37,960 --> 00:12:40,839 Speaker 4: make any money doing that. That's an absurd and disgusting 257 00:12:41,160 --> 00:12:45,120 Speaker 4: distortion reality. And you need to stop nobody's in anybody 258 00:12:45,120 --> 00:12:46,280 Speaker 4: else's fluids. 259 00:12:46,320 --> 00:12:48,920 Speaker 3: Good lord, man, I don't know. I saw some of 260 00:12:48,960 --> 00:12:51,440 Speaker 3: the people coming in and out. Is that I don't 261 00:12:51,440 --> 00:12:57,000 Speaker 3: want to lay in there or whatever? Oh God, I disavow, 262 00:12:57,600 --> 00:13:01,000 Speaker 3: I disavow. We have some actual news. We need to 263 00:13:01,000 --> 00:13:03,560 Speaker 3: catch up. How much is the big beautiful bill going 264 00:13:03,640 --> 00:13:06,839 Speaker 3: to add to our national deficit or debt? 265 00:13:06,920 --> 00:13:09,920 Speaker 1: I keep getting those numbers mixed up. And Elon Musk's 266 00:13:09,960 --> 00:13:12,600 Speaker 1: new political party, we'll talk about that. I'm excited about this. 267 00:13:12,640 --> 00:13:13,160 Speaker 1: Stay tuned. 268 00:13:17,000 --> 00:13:20,800 Speaker 5: But the thing that disappoints me is that if I 269 00:13:20,840 --> 00:13:22,679 Speaker 5: put out a model and I say, hey, here's what's 270 00:13:22,679 --> 00:13:24,240 Speaker 5: going to happen. We're gonna get three percent growth, and 271 00:13:24,240 --> 00:13:26,280 Speaker 5: then it turns out it's one and a half percent growth, 272 00:13:26,520 --> 00:13:29,240 Speaker 5: then as an academic economist, as a scientist, then it's 273 00:13:29,280 --> 00:13:31,280 Speaker 5: my duty to say, what did I get wrong? 274 00:13:31,400 --> 00:13:34,000 Speaker 1: What did my model miss? These people aren't doing. 275 00:13:33,840 --> 00:13:36,120 Speaker 5: That, And that's the thing that I find disappointing because 276 00:13:36,160 --> 00:13:39,680 Speaker 5: we put you know, pure reviewed academic stuff on the table, 277 00:13:39,720 --> 00:13:41,480 Speaker 5: said we're going to get that three percent growth, and 278 00:13:41,520 --> 00:13:43,000 Speaker 5: then we got it right last time, and we. 279 00:13:42,960 --> 00:13:44,240 Speaker 1: Believe we're going to get it right this time. 280 00:13:44,480 --> 00:13:47,160 Speaker 3: I thought that was interesting. That's Kevin has it. Which 281 00:13:47,200 --> 00:13:48,800 Speaker 3: of the people is he around Trump? 282 00:13:48,880 --> 00:13:54,080 Speaker 1: What is his deal? He's a what that economic advisor guru? 283 00:13:54,160 --> 00:13:56,920 Speaker 1: I whatever he is? He was on face the nation 284 00:13:57,280 --> 00:13:59,760 Speaker 1: and he was in this. 285 00:14:00,160 --> 00:14:02,000 Speaker 3: You know, I'm not just trying to do a boosterism 286 00:14:02,040 --> 00:14:05,959 Speaker 3: for the big beautiful bill because I think it, based 287 00:14:06,000 --> 00:14:08,640 Speaker 3: on the punditary of most of my favorite pundits, is 288 00:14:08,640 --> 00:14:11,920 Speaker 3: in it's total bad for the country. But I do 289 00:14:11,960 --> 00:14:14,640 Speaker 3: think it is in keeping with the way we've been 290 00:14:14,679 --> 00:14:18,679 Speaker 3: doing things in the United States now for several presidencies. 291 00:14:18,760 --> 00:14:21,240 Speaker 3: So I don't think it's like an outlying horror either. 292 00:14:21,640 --> 00:14:24,280 Speaker 3: It's just the way we do things now. Unfortunately, But 293 00:14:24,720 --> 00:14:27,520 Speaker 3: I guys making the point that the CBO has been 294 00:14:27,560 --> 00:14:30,160 Speaker 3: wrong many times on some big things in recent years, 295 00:14:30,160 --> 00:14:32,800 Speaker 3: and nobody ever points that out. He used the example 296 00:14:32,840 --> 00:14:35,480 Speaker 3: of what the CBO predicted the Trump tax cuts we're 297 00:14:35,480 --> 00:14:38,520 Speaker 3: going to do initially in twenty seventeen, and they were 298 00:14:38,520 --> 00:14:41,680 Speaker 3: wrong by half in terms of economic growth, and that 299 00:14:41,720 --> 00:14:42,440 Speaker 3: they could be again. 300 00:14:42,480 --> 00:14:44,320 Speaker 1: He goes on to talk more about that. 301 00:14:44,480 --> 00:14:46,880 Speaker 5: But if you think that one point eight percent growth 302 00:14:47,040 --> 00:14:48,920 Speaker 5: is what's going to happen over the next ten years, 303 00:14:49,080 --> 00:14:51,280 Speaker 5: then you should agree with the CBO number. But there's 304 00:14:51,320 --> 00:14:53,160 Speaker 5: another part of the CBO number that you need to 305 00:14:53,200 --> 00:14:55,400 Speaker 5: worry about, and that is that if we don't pass 306 00:14:55,440 --> 00:14:58,040 Speaker 5: the bill, that it's the biggest tax hike in history, 307 00:14:58,280 --> 00:15:00,040 Speaker 5: and with that big tax hike, that of course we 308 00:15:00,040 --> 00:15:02,040 Speaker 5: would have a recession. The CEA says that we'd have 309 00:15:02,080 --> 00:15:04,480 Speaker 5: about a four percent drop in GDP and lose nine 310 00:15:04,520 --> 00:15:06,720 Speaker 5: million jobs. If we got a four percent drop in 311 00:15:06,760 --> 00:15:08,840 Speaker 5: GDP and we lost nye billion jobs, what would happen 312 00:15:08,840 --> 00:15:10,880 Speaker 5: to the deficit? And so I don't think that the 313 00:15:10,920 --> 00:15:13,520 Speaker 5: CBO has a very strong record. I don't think these 314 00:15:13,520 --> 00:15:15,280 Speaker 5: places have a very strong record. And what they need 315 00:15:15,320 --> 00:15:17,880 Speaker 5: to do is get back to the basics of looking 316 00:15:17,920 --> 00:15:21,400 Speaker 5: at macroeconomic models. There's a really famous macro economist and 317 00:15:21,480 --> 00:15:23,600 Speaker 5: Harvard Dave, Jimstock. They should go back and read everything 318 00:15:23,680 --> 00:15:25,640 Speaker 5: Jim Stock has written for the last fifteen years and 319 00:15:25,640 --> 00:15:27,640 Speaker 5: fold those into their models and then maybe we could talk. 320 00:15:27,720 --> 00:15:29,120 Speaker 4: Yeah, so I wanted to play that stuff just so 321 00:15:29,160 --> 00:15:34,960 Speaker 4: you realize there are smart people that disagree with data 322 00:15:35,040 --> 00:15:37,480 Speaker 4: back it up on some of these CBO predictions that 323 00:15:38,120 --> 00:15:42,200 Speaker 4: the media is not telling you about it all. I remember, 324 00:15:42,240 --> 00:15:45,920 Speaker 4: at the dawn of Obamacare, our own Craig, the healthcare guru, 325 00:15:46,480 --> 00:15:51,200 Speaker 4: was saying the CBO estimates, everybody's estimates are wildly unrealistic. 326 00:15:51,480 --> 00:15:53,560 Speaker 1: They're just wrong. And he turned out to be one 327 00:15:53,680 --> 00:15:54,640 Speaker 1: hundred percent correct. 328 00:15:54,680 --> 00:15:57,080 Speaker 4: So yeah, and there are all sorts of not only 329 00:15:57,200 --> 00:15:59,880 Speaker 4: weird assumptions that they make, but the terminology they use 330 00:16:00,040 --> 00:16:04,120 Speaker 4: and the baselines that they use. Like, for instance, even 331 00:16:04,160 --> 00:16:08,080 Speaker 4: though this has been the policy for many years now, 332 00:16:08,160 --> 00:16:11,840 Speaker 4: the current tax rates, they consider it a tax cut 333 00:16:11,960 --> 00:16:15,360 Speaker 4: to keep them the same. Therefore, that's going to affect 334 00:16:15,400 --> 00:16:19,480 Speaker 4: the deficit by ex trillion dollars, Right, But that isn't 335 00:16:19,520 --> 00:16:22,440 Speaker 4: what you do with expenditures, just with taxes. It's just 336 00:16:23,440 --> 00:16:26,960 Speaker 4: it's madness. It makes it really difficult for even like 337 00:16:27,320 --> 00:16:30,360 Speaker 4: a person of goodwill and sure reasonable intellect to figure 338 00:16:30,360 --> 00:16:31,560 Speaker 4: out what the hell is going on. 339 00:16:31,680 --> 00:16:34,840 Speaker 3: Yeah, so you've got that what you just described, and 340 00:16:34,880 --> 00:16:41,120 Speaker 3: then both parties obviously really shade their predictions or explanations 341 00:16:41,120 --> 00:16:42,440 Speaker 3: in a direction that benefits them. 342 00:16:42,440 --> 00:16:46,080 Speaker 1: So yeah, it's really really tough to know. Yeah. 343 00:16:46,200 --> 00:16:48,680 Speaker 4: For what it's worth, Kevin hasse it is the director 344 00:16:48,720 --> 00:16:53,600 Speaker 4: of the National Economic Council. Good for him, important role, Jack, Yeah, 345 00:16:53,640 --> 00:16:55,320 Speaker 4: one he and his parents should be proud of. 346 00:16:55,400 --> 00:16:55,560 Speaker 6: Yeah. 347 00:16:55,680 --> 00:16:59,200 Speaker 3: For instance, he said that the CBO got Obamacare way wrong, 348 00:16:59,280 --> 00:17:01,600 Speaker 3: as you were just alluding to, and he actually had 349 00:17:01,600 --> 00:17:04,400 Speaker 3: the numbers in front of him how wrong they were. 350 00:17:05,080 --> 00:17:07,760 Speaker 4: Well, how with the Republicans and Democrats. Elon Musk has 351 00:17:07,800 --> 00:17:10,639 Speaker 4: started a new political party? Or has he? 352 00:17:10,920 --> 00:17:15,720 Speaker 1: It's not Claire. We'll talk about that next. Armstrong and Getty. 353 00:17:18,080 --> 00:17:19,960 Speaker 1: WNBA has a problem. 354 00:17:20,000 --> 00:17:23,520 Speaker 3: I don't think any sports league has ever had where 355 00:17:24,400 --> 00:17:29,840 Speaker 3: the players and the fans have such a disagreement about 356 00:17:29,840 --> 00:17:33,359 Speaker 3: what is good for their existence. Anyway, we'll talk more 357 00:17:33,359 --> 00:17:35,439 Speaker 3: about that next segment. I think it's interesting, even if 358 00:17:35,440 --> 00:17:36,880 Speaker 3: you know nothing about that of the NBA. 359 00:17:37,960 --> 00:17:41,199 Speaker 4: I saw the headline over the weekend that Elon Musk 360 00:17:41,600 --> 00:17:45,320 Speaker 4: is going to create a new political party, the America Party. 361 00:17:46,080 --> 00:17:49,680 Speaker 4: The current President of the United States. Good close friend. Wait, 362 00:17:49,760 --> 00:17:53,320 Speaker 4: I'm being told by the control room no longer a 363 00:17:53,359 --> 00:18:00,120 Speaker 4: friend with Elon Musk is commented on it to mister president. 364 00:17:59,600 --> 00:18:02,840 Speaker 1: Starting a third party. I think it's ridiculous. To start 365 00:18:02,880 --> 00:18:03,560 Speaker 1: a third party. 366 00:18:03,600 --> 00:18:08,320 Speaker 7: We have a tremendous success with the Republican Party. 367 00:18:08,520 --> 00:18:10,160 Speaker 1: The Democrats have lost their way. 368 00:18:10,200 --> 00:18:13,119 Speaker 7: But it's always been a two party system, and I 369 00:18:13,160 --> 00:18:15,840 Speaker 7: think starting a third party just hands to confusion. 370 00:18:16,359 --> 00:18:17,760 Speaker 1: It really seems to have been. 371 00:18:17,640 --> 00:18:20,919 Speaker 7: Developed for two parties. Third parties have never worked, So 372 00:18:21,000 --> 00:18:23,680 Speaker 7: he can have fun with it, but I think it's ridiculous. 373 00:18:25,840 --> 00:18:28,280 Speaker 4: I'm not sure it's ridiculous, for the same reason that 374 00:18:28,280 --> 00:18:31,120 Speaker 4: I've never poo pooed third party candidates. The Wall Street 375 00:18:31,200 --> 00:18:33,960 Speaker 4: Journal points out that they never win, but they can 376 00:18:34,119 --> 00:18:35,520 Speaker 4: siphon voters away. 377 00:18:36,480 --> 00:18:37,520 Speaker 1: I've always said. 378 00:18:37,520 --> 00:18:40,439 Speaker 4: They can make it clear to the existing parties that 379 00:18:40,480 --> 00:18:43,120 Speaker 4: they're not doing the job, and if they don't come 380 00:18:43,160 --> 00:18:46,240 Speaker 4: over here closer to where we are, they're gonna lose. 381 00:18:46,359 --> 00:18:48,800 Speaker 3: Yeah, and that's happened a number of times in our 382 00:18:48,880 --> 00:18:50,399 Speaker 3: lifetime of just doing talk radio. 383 00:18:50,600 --> 00:18:51,920 Speaker 1: Elon put it to a poll. 384 00:18:52,200 --> 00:18:54,600 Speaker 3: It was after the Big Beautiful Bill passed over the weekend, 385 00:18:54,600 --> 00:18:56,720 Speaker 3: and he was so discouraged, as he had been saying 386 00:18:57,440 --> 00:18:58,320 Speaker 3: for a while that. 387 00:19:00,080 --> 00:19:02,239 Speaker 1: What did he call it? Remember that? What was that 388 00:19:02,280 --> 00:19:04,200 Speaker 1: phrase he used for the Big Beautiful books? 389 00:19:04,200 --> 00:19:06,000 Speaker 3: I loved it, but I can never remember it, And 390 00:19:06,520 --> 00:19:12,480 Speaker 3: a big, unambiguous pilot crap or whatever it was. C Yeah, 391 00:19:12,480 --> 00:19:14,280 Speaker 3: because we are going to spend ourselves into ruin, and 392 00:19:14,320 --> 00:19:16,520 Speaker 3: that's absolutely clear, and this was a step that direction. 393 00:19:16,560 --> 00:19:19,239 Speaker 3: And why did you even attempt to have doge if 394 00:19:19,240 --> 00:19:20,640 Speaker 3: you're going to do this, I mean, it all makes 395 00:19:20,640 --> 00:19:22,639 Speaker 3: sense from elon standpoint. So he put it to a 396 00:19:22,680 --> 00:19:25,560 Speaker 3: poll on his Twitter, not surprisingly because if you follow 397 00:19:25,680 --> 00:19:28,360 Speaker 3: Elon you probably like him more than two to one. 398 00:19:28,440 --> 00:19:31,040 Speaker 3: People agreed we need a third party. So he said, Okay, 399 00:19:31,080 --> 00:19:32,879 Speaker 3: the American Party. You asked for it, we got it. 400 00:19:33,720 --> 00:19:38,679 Speaker 3: The question is how much of his political weight, and 401 00:19:38,760 --> 00:19:41,240 Speaker 3: he does have quite a bit and money, which he's 402 00:19:41,240 --> 00:19:43,800 Speaker 3: got more than anybody else on Earth, does he throw 403 00:19:43,880 --> 00:19:45,479 Speaker 3: behind the effort at a third party? 404 00:19:45,680 --> 00:19:50,399 Speaker 4: That's the question, right, Yeah, and this organizational, you know 405 00:19:50,560 --> 00:19:53,320 Speaker 4: minions who could work on that sort of thing. I 406 00:19:53,359 --> 00:19:56,639 Speaker 4: thought what he wrote on Twitter, I refused to say X. 407 00:19:57,480 --> 00:20:00,479 Speaker 4: Every member of Congress who campaigned on reducing government spending 408 00:20:00,480 --> 00:20:02,919 Speaker 4: and then immediately voted for the biggest debt increase in 409 00:20:03,000 --> 00:20:05,520 Speaker 4: history should hang their head in shame and they will 410 00:20:05,560 --> 00:20:07,800 Speaker 4: lose their primary next year if it is the last 411 00:20:07,800 --> 00:20:09,399 Speaker 4: thing I do on this earth. 412 00:20:10,760 --> 00:20:11,200 Speaker 1: Yeah. 413 00:20:11,240 --> 00:20:14,720 Speaker 3: Well, he got that committed once before for Trump, and 414 00:20:14,800 --> 00:20:19,560 Speaker 3: he made a huge difference. I think he certainly spent 415 00:20:19,680 --> 00:20:23,680 Speaker 3: a lot of money, and if he were to individually 416 00:20:23,880 --> 00:20:29,119 Speaker 3: fund rivals for House seats and set it seats, I 417 00:20:29,680 --> 00:20:32,000 Speaker 3: think he could make a big ripple. The problem is, 418 00:20:32,480 --> 00:20:34,639 Speaker 3: like you have already alluded to, people look at this 419 00:20:34,680 --> 00:20:37,640 Speaker 3: whole third party thing just the wrong way. It looks 420 00:20:37,880 --> 00:20:39,840 Speaker 3: like it's going to be a party that emerges on 421 00:20:39,880 --> 00:20:42,760 Speaker 3: the scene all of a sudden and wins elections. And 422 00:20:42,800 --> 00:20:45,920 Speaker 3: that has never happened. Has it ever happened? It had 423 00:20:45,920 --> 00:20:48,960 Speaker 3: happened in France, that happened with Macrone. I mean it 424 00:20:49,000 --> 00:20:52,400 Speaker 3: was a party that didn't exist until they've formed around him. 425 00:20:52,520 --> 00:20:55,320 Speaker 4: And it actually happened in eighteen sixty it beat the 426 00:20:55,359 --> 00:20:57,639 Speaker 4: other two parties. Yeah, and it's happened in eighteen sixty. 427 00:20:57,680 --> 00:21:02,639 Speaker 4: But in the modern world, no, it has not happened. 428 00:21:02,640 --> 00:21:06,879 Speaker 4: But the getting one party's attention for a while at 429 00:21:06,960 --> 00:21:09,359 Speaker 4: least that you better get your act together if you 430 00:21:09,359 --> 00:21:11,720 Speaker 4: want my support. Yes, it has happened many times. 431 00:21:12,080 --> 00:21:13,400 Speaker 1: Well, it's it's funny. 432 00:21:13,119 --> 00:21:16,040 Speaker 4: Because they act like the forming of the party is 433 00:21:16,200 --> 00:21:21,520 Speaker 4: upstream of the like the philosophy that it has When 434 00:21:21,840 --> 00:21:25,440 Speaker 4: it's the opposite. People are highly dissatisfied, they're highly troubled 435 00:21:25,440 --> 00:21:28,240 Speaker 4: by what the two parties are offering them, and they say, 436 00:21:28,240 --> 00:21:28,840 Speaker 4: all right, we're going. 437 00:21:28,840 --> 00:21:29,760 Speaker 1: To start a third party. 438 00:21:29,760 --> 00:21:33,720 Speaker 4: And yeah, in recent history it ends up being gobbled 439 00:21:33,800 --> 00:21:36,520 Speaker 4: up by one of the other parties those voters. 440 00:21:36,840 --> 00:21:40,119 Speaker 1: But because they come closer. 441 00:21:39,720 --> 00:21:43,080 Speaker 4: To where those people are, it gets gobblerfectly healthy. 442 00:21:43,240 --> 00:21:44,480 Speaker 1: Yes, it gets gobbled up. 443 00:21:44,560 --> 00:21:47,760 Speaker 3: And that you have now changed one of the two 444 00:21:47,840 --> 00:21:50,040 Speaker 3: dominant parties to be closer to what you want them 445 00:21:50,080 --> 00:21:50,240 Speaker 3: to be. 446 00:21:50,560 --> 00:21:51,680 Speaker 1: How's that a failure? 447 00:21:51,920 --> 00:21:55,000 Speaker 3: I've never understood how you portray that as a failure. 448 00:21:55,920 --> 00:21:58,040 Speaker 1: Right now, it probably wouldn't work. 449 00:21:58,119 --> 00:22:00,560 Speaker 4: Say within a marriage, if you're dissatis fied with the 450 00:22:00,560 --> 00:22:03,760 Speaker 4: way your wife is trading, you just start dating another gal. 451 00:22:04,200 --> 00:22:07,040 Speaker 1: Move in with it. She says, all right, I'll cook 452 00:22:07,080 --> 00:22:09,440 Speaker 1: three nights a week, you know whatever. This is right. 453 00:22:09,760 --> 00:22:13,280 Speaker 3: The problem, the biggest problem with the whole third party thing, well, 454 00:22:13,520 --> 00:22:17,919 Speaker 3: two things that are worth repeating. One, the two major 455 00:22:17,960 --> 00:22:20,840 Speaker 3: parties have gone out of their way to make it 456 00:22:20,920 --> 00:22:23,840 Speaker 3: incredibly difficult for a third party to ever have any 457 00:22:23,880 --> 00:22:25,000 Speaker 3: success on any level. 458 00:22:26,520 --> 00:22:31,240 Speaker 4: That is utterly undemocratic. Ain't crying about democracy. Yeah, ain't 459 00:22:31,280 --> 00:22:34,560 Speaker 4: cool at all because they got a good game going 460 00:22:34,680 --> 00:22:36,879 Speaker 4: right here where all the money flows to them and 461 00:22:36,920 --> 00:22:37,920 Speaker 4: they want to keep it that way. 462 00:22:37,960 --> 00:22:38,840 Speaker 1: So that sucks. 463 00:22:39,200 --> 00:22:41,679 Speaker 4: So that's one reason to really support third parties. In 464 00:22:41,720 --> 00:22:44,399 Speaker 4: my mind, the biggest problem flaw with the third party 465 00:22:44,440 --> 00:22:49,199 Speaker 4: thing is whatever the issue is, you almost well not 466 00:22:49,280 --> 00:22:54,600 Speaker 4: almost always in recent memory, you always help the party 467 00:22:54,640 --> 00:22:58,439 Speaker 4: you hate the most and hurt the party that you like. 468 00:22:59,080 --> 00:23:01,960 Speaker 1: M M. It's you know, the math works that way. Well, 469 00:23:02,000 --> 00:23:03,240 Speaker 1: you got to be cruel to be kind. 470 00:23:03,640 --> 00:23:07,560 Speaker 4: The Republican Party cannot rediscover its roots as a fiscal 471 00:23:07,640 --> 00:23:12,080 Speaker 4: conservative party, then you screw them and let the Democrats win, 472 00:23:12,400 --> 00:23:15,040 Speaker 4: and then they come closer to you. You know, it 473 00:23:15,119 --> 00:23:18,720 Speaker 4: helps being older and seeing bunches of election cycles go by. 474 00:23:19,280 --> 00:23:22,880 Speaker 4: You know what, turns out the whatever nineteen ninety six 475 00:23:22,960 --> 00:23:25,880 Speaker 4: election wasn't the most important one of our lifetime. Right 476 00:23:26,040 --> 00:23:29,480 Speaker 4: that midterm was in It's fine. Things went a little 477 00:23:29,520 --> 00:23:31,800 Speaker 4: sideways for a minute, and then they got back on track. 478 00:23:31,880 --> 00:23:35,200 Speaker 4: And you know, I was about to use the example repeat. 479 00:23:35,400 --> 00:23:38,040 Speaker 3: Like I think like the Green Party and some of 480 00:23:38,040 --> 00:23:40,439 Speaker 3: that stuff on the left has worked. It would seem 481 00:23:40,520 --> 00:23:46,640 Speaker 3: to pull the Democratic Party closer to their side by caring. 482 00:23:46,359 --> 00:23:47,560 Speaker 1: So much about their issues. 483 00:23:48,000 --> 00:23:50,199 Speaker 3: I don't know that that's happened with the Tea Party 484 00:23:51,160 --> 00:23:53,480 Speaker 3: or any of the fiscal conservatism stuff. You had the 485 00:23:53,600 --> 00:23:59,000 Speaker 3: Romney Ryan ticket in twenty twelve that got beaten pretty badly, 486 00:23:59,080 --> 00:24:01,880 Speaker 3: and the Tea Party and all that. But man, they've 487 00:24:01,920 --> 00:24:04,520 Speaker 3: completely abandoned fiscal conservatism. 488 00:24:04,640 --> 00:24:08,399 Speaker 4: So yeah, yeah, it doesn't work forever. Worth mentioning that 489 00:24:08,440 --> 00:24:11,760 Speaker 4: Trump clapped back not only the clip we played, but 490 00:24:11,920 --> 00:24:15,480 Speaker 4: he said no more rocket launches, satellites or electric car production, 491 00:24:15,800 --> 00:24:18,440 Speaker 4: and our country would save a fortune. Perhaps we should 492 00:24:18,480 --> 00:24:20,760 Speaker 4: have Doge take a good hard look at this big 493 00:24:20,800 --> 00:24:21,840 Speaker 4: money to be saved. 494 00:24:22,880 --> 00:24:24,080 Speaker 1: Yeah, fine, I didn't. 495 00:24:24,240 --> 00:24:27,320 Speaker 4: He's sad to see Elon go off the rails. I 496 00:24:27,320 --> 00:24:30,720 Speaker 4: won't see what happens if he's serious about it. There's 497 00:24:30,760 --> 00:24:32,960 Speaker 4: another Elon related story I wanted to touch on, or 498 00:24:33,119 --> 00:24:34,720 Speaker 4: is there something you're hot to try to get. 499 00:24:34,560 --> 00:24:37,360 Speaker 1: To before we move to that. Do you think Elon's 500 00:24:37,359 --> 00:24:44,320 Speaker 1: serious about this today? Yes? Will he hang in there 501 00:24:44,560 --> 00:24:46,639 Speaker 1: and put the work in? 502 00:24:46,840 --> 00:24:49,800 Speaker 3: I don't know, Man, he got serious about getting Trump elected? 503 00:24:50,520 --> 00:24:53,200 Speaker 1: No one of the things he yeah, great, great. 504 00:24:53,119 --> 00:24:59,719 Speaker 4: Financial and uh and cultural risk to himself. Which is 505 00:24:59,720 --> 00:25:03,160 Speaker 4: not escaped the attention of these shareholders and board members 506 00:25:03,160 --> 00:25:06,600 Speaker 4: of his various corporations who are being employed by Trump 507 00:25:06,680 --> 00:25:10,480 Speaker 4: and Company, to remind him of his fiscal responsibility to them, 508 00:25:10,800 --> 00:25:12,960 Speaker 4: and that maybe he ought to focus on his job, 509 00:25:13,160 --> 00:25:15,679 Speaker 4: his day job a little bit. So yeah, that that 510 00:25:15,840 --> 00:25:17,880 Speaker 4: and that will hold sway at some point. I mean 511 00:25:17,880 --> 00:25:22,080 Speaker 4: it's got to. He's got to fulfill his fiscal responsibility 512 00:25:22,080 --> 00:25:26,840 Speaker 4: to his shareholders. They're a chain saw chainsaw. Oh, that 513 00:25:26,920 --> 00:25:29,320 Speaker 4: reminds me. I was going to talk about that. So 514 00:25:29,400 --> 00:25:31,199 Speaker 4: he had a bunch of wind and we had a 515 00:25:31,240 --> 00:25:36,280 Speaker 4: big branch fall down and wiped out our American flag 516 00:25:36,480 --> 00:25:37,520 Speaker 4: a couple of days ago. 517 00:25:37,680 --> 00:25:38,200 Speaker 1: Wow. 518 00:25:38,280 --> 00:25:45,760 Speaker 4: Similar, Yeah, communist tree chainsaw coming for that tree. I'm 519 00:25:45,760 --> 00:25:47,719 Speaker 4: not going to have any damn America hating tree in 520 00:25:47,720 --> 00:25:50,040 Speaker 4: my yard. Way to plant a woke tree. 521 00:25:50,680 --> 00:25:52,640 Speaker 1: I didn't plan it. I did. It was there when 522 00:25:52,680 --> 00:25:53,199 Speaker 1: I moved in. 523 00:25:53,359 --> 00:25:56,240 Speaker 4: But anyway, yeah, that that tree will not last to 524 00:25:56,320 --> 00:25:57,440 Speaker 4: get a flag out of my launch. 525 00:25:57,640 --> 00:25:58,000 Speaker 1: Anyway. 526 00:25:58,320 --> 00:26:00,280 Speaker 4: One more note on Elon Musk that I found very 527 00:26:00,359 --> 00:26:04,800 Speaker 4: very interesting. He is in trouble in China. Not not 528 00:26:04,920 --> 00:26:07,560 Speaker 4: literally in trouble with the Communist Party, but he was 529 00:26:07,640 --> 00:26:11,879 Speaker 4: the toast of Beijing for a very long time because 530 00:26:11,920 --> 00:26:16,840 Speaker 4: Tesla was the hottest car on Chinese roads. Tesla was 531 00:26:16,880 --> 00:26:20,760 Speaker 4: a huge success in China for a while, government officials 532 00:26:20,800 --> 00:26:23,639 Speaker 4: showered the company with incentives, part of a concerted strategy 533 00:26:23,720 --> 00:26:28,120 Speaker 4: to turbo charge the Chinese ev industry by injecting Tesla 534 00:26:28,240 --> 00:26:31,480 Speaker 4: know how into the country. No spurring competition, blah blah. 535 00:26:31,320 --> 00:26:34,000 Speaker 1: Blaharty turbo chargers on an electric vehicle. 536 00:26:34,280 --> 00:26:39,679 Speaker 4: It's a metaphor getting on Unfortunately, But now Tesla's market 537 00:26:39,760 --> 00:26:42,840 Speaker 4: share has shriveled as other Chinese automakers have become more 538 00:26:42,880 --> 00:26:48,040 Speaker 4: popular and Musk's reputation as a partner for Beijing. In Washington, 539 00:26:48,480 --> 00:26:51,760 Speaker 4: an insider who can talk to Trump is taking a 540 00:26:51,800 --> 00:26:54,160 Speaker 4: beating as his relationship with Trump sours. 541 00:26:54,720 --> 00:26:57,119 Speaker 3: Man, are there are a lot less Tesla's on the 542 00:26:57,160 --> 00:26:59,880 Speaker 3: East Coast than I'm used to seeing as a California 543 00:27:00,119 --> 00:27:03,280 Speaker 3: a California, you come to a four way stop, three 544 00:27:03,280 --> 00:27:05,600 Speaker 3: out of the four cars or at Tesla. Now you 545 00:27:05,640 --> 00:27:08,440 Speaker 3: get to Florida or New York, No, not so much. 546 00:27:09,040 --> 00:27:09,800 Speaker 1: Right right? 547 00:27:10,160 --> 00:27:13,560 Speaker 4: So Tesla is hurting bad as a brand in China, 548 00:27:13,560 --> 00:27:18,119 Speaker 4: and Elon as an influencer, is seeing his well influenced 549 00:27:18,119 --> 00:27:23,119 Speaker 4: decline precipitously, and his trade tensions with the US heated 550 00:27:23,160 --> 00:27:25,400 Speaker 4: up this year. Chinese Premiere or whatever that means. Lee 551 00:27:25,520 --> 00:27:31,600 Speaker 4: Qwang made it clear that Tesla's local operation could we 552 00:27:31,680 --> 00:27:35,600 Speaker 4: He said it wouldn't be targeted for retaliatory measures. 553 00:27:36,600 --> 00:27:37,919 Speaker 1: But that's a hint, isn't it. 554 00:27:38,640 --> 00:27:41,240 Speaker 4: Wait a minute, who's talking about Wait a minute, why 555 00:27:41,280 --> 00:27:42,359 Speaker 4: did you just say that? 556 00:27:43,200 --> 00:27:44,560 Speaker 1: Yeah, okay, I wonder. 557 00:27:44,240 --> 00:27:48,560 Speaker 3: What Elon cares about the most. I don't know how 558 00:27:48,760 --> 00:27:51,080 Speaker 3: important it is for him to be the world richest man. 559 00:27:51,119 --> 00:27:53,440 Speaker 3: He doesn't seem to care about material possessions the way 560 00:27:53,480 --> 00:27:56,639 Speaker 3: Jeff Bezos does. God, I followed that whole ridiculous wedding 561 00:27:56,680 --> 00:27:59,520 Speaker 3: for a while. What the freak is wrong with you, dude? 562 00:27:59,520 --> 00:28:01,920 Speaker 3: You and your I mean, it's one thing that you're 563 00:28:02,000 --> 00:28:04,320 Speaker 3: rich and you like nice stuff, but the needing to 564 00:28:04,359 --> 00:28:06,119 Speaker 3: parade it in front of people for. 565 00:28:06,240 --> 00:28:09,800 Speaker 1: Your tuned out of that during viguation, It's just horrible. 566 00:28:10,040 --> 00:28:14,439 Speaker 3: Is the worst conspicuous consumption since Louis the sixteenth. Again, 567 00:28:14,800 --> 00:28:17,040 Speaker 3: the behind closed doors. I kind of get it, you're rich, 568 00:28:17,119 --> 00:28:19,680 Speaker 3: so you like nice stuff, but the needing to have 569 00:28:19,760 --> 00:28:23,000 Speaker 3: everybody cheer as you walk out in all this stuff, 570 00:28:23,200 --> 00:28:27,280 Speaker 3: like nine different times in three days. There's something seriously 571 00:28:27,359 --> 00:28:29,560 Speaker 3: flawed with you. But I don't get the sense that 572 00:28:29,640 --> 00:28:39,160 Speaker 3: Elon cares about the yacht giant diamond stuff. I think 573 00:28:39,200 --> 00:28:41,200 Speaker 3: as an immigrant who came to this country and really 574 00:28:41,240 --> 00:28:43,200 Speaker 3: made a go of it and a lot of his friends, 575 00:28:43,200 --> 00:28:46,080 Speaker 3: I think he does really really care about America. I 576 00:28:46,120 --> 00:28:49,680 Speaker 3: can see him going down with the ship on that 577 00:28:49,760 --> 00:28:50,840 Speaker 3: taking a huge hit. 578 00:28:51,640 --> 00:28:55,880 Speaker 4: Yeah, Tesla is going to become an AI driven self 579 00:28:55,960 --> 00:29:00,240 Speaker 4: driving car company, auto driving taxes, taxis and that sort 580 00:29:00,240 --> 00:29:03,040 Speaker 4: of thing. I think what he's most interested in is 581 00:29:03,080 --> 00:29:06,480 Speaker 4: what he's most interested in at any given moment, day, week, 582 00:29:06,560 --> 00:29:08,040 Speaker 4: or month, and. 583 00:29:08,800 --> 00:29:09,640 Speaker 1: We should be fun. 584 00:29:10,400 --> 00:29:15,000 Speaker 4: I don't think it's Tesla anymore, or at least not 585 00:29:15,200 --> 00:29:17,480 Speaker 4: as a traditional car company like we've been thinking of. 586 00:29:17,560 --> 00:29:21,280 Speaker 4: Well not traditional, but you know what I mean. SpaceX 587 00:29:21,360 --> 00:29:24,080 Speaker 4: is probably still pretty intriguing to them. But it could 588 00:29:24,120 --> 00:29:28,400 Speaker 4: be this really seizes his attention, having stepped into the 589 00:29:28,760 --> 00:29:34,800 Speaker 4: pool of national politics and found it a really interesting 590 00:29:34,840 --> 00:29:37,240 Speaker 4: and be exciting and important. 591 00:29:37,720 --> 00:29:39,920 Speaker 1: This could be his new Tesla, I don't know. 592 00:29:39,960 --> 00:29:44,040 Speaker 3: Well, And he'd be running against the against Republicans, so 593 00:29:44,160 --> 00:29:45,000 Speaker 3: maybe that brings. 594 00:29:44,760 --> 00:29:47,640 Speaker 1: Them trying to outthink them. Yeah, maybe that brings back 595 00:29:47,680 --> 00:29:51,360 Speaker 1: a lot of those new to Elon. 596 00:29:51,480 --> 00:29:55,120 Speaker 3: Hating people that didn't like Trump gets them back in 597 00:29:55,120 --> 00:29:55,840 Speaker 3: the fold of Elon. 598 00:29:55,960 --> 00:29:57,880 Speaker 1: I have no idea, So what will the stick around 599 00:29:57,920 --> 00:29:58,840 Speaker 1: their cars say? Now? 600 00:29:59,040 --> 00:30:02,800 Speaker 4: I bought this before Elon went crazy, but kept it 601 00:30:03,280 --> 00:30:04,960 Speaker 4: until he's now cool again. 602 00:30:05,200 --> 00:30:07,360 Speaker 1: I parked it in the garage for nine months and 603 00:30:07,360 --> 00:30:08,200 Speaker 1: now I drive it again. 604 00:30:08,840 --> 00:30:10,720 Speaker 4: Why don't you just buy the car you want and 605 00:30:11,040 --> 00:30:13,280 Speaker 4: quit with your bumper stickers and weirdos. 606 00:30:13,600 --> 00:30:14,520 Speaker 1: Yeah, hippies. 607 00:30:14,680 --> 00:30:18,000 Speaker 3: The WNBA has a serious Caitlin Clark problem, even though 608 00:30:18,040 --> 00:30:19,800 Speaker 3: it's the best thing that ever happened to him. Explain 609 00:30:19,880 --> 00:30:21,040 Speaker 3: that it's kind of interesting. 610 00:30:21,120 --> 00:30:26,600 Speaker 6: Next Armstrong, I was smart enough when I was ten 611 00:30:26,720 --> 00:30:28,680 Speaker 6: years old to realize if I was ever going to 612 00:30:28,680 --> 00:30:31,360 Speaker 6: get any Yankee stadium without buying a ticket, it was 613 00:30:31,400 --> 00:30:33,160 Speaker 6: going to be to be in the booth, not to 614 00:30:33,200 --> 00:30:34,840 Speaker 6: be wearing pinstripes. 615 00:30:34,320 --> 00:30:35,200 Speaker 1: Out there on the field. 616 00:30:35,360 --> 00:30:36,680 Speaker 6: But you know, you were in high school, and I 617 00:30:36,720 --> 00:30:38,240 Speaker 6: wasn't half bad. I was good enough to be the 618 00:30:38,320 --> 00:30:40,280 Speaker 6: last guy cut, but I knew I wasn't going. 619 00:30:40,200 --> 00:30:41,200 Speaker 1: To be the star of the team. 620 00:30:41,880 --> 00:30:45,240 Speaker 6: And it was just amusing that the baseball coach actually 621 00:30:45,400 --> 00:30:48,160 Speaker 6: said to me when he cut me. He said something 622 00:30:48,160 --> 00:30:50,480 Speaker 6: to the effect of, you're not bad with the glove, 623 00:30:50,560 --> 00:30:52,320 Speaker 6: and you can run a little bit, but I don't 624 00:30:52,360 --> 00:30:54,040 Speaker 6: think you can hit your weight, and I don't think 625 00:30:54,080 --> 00:30:56,760 Speaker 6: you weigh one thirty, which might have been true when 626 00:30:56,760 --> 00:30:59,440 Speaker 6: I was sixteen years old. And then he said, have 627 00:30:59,520 --> 00:31:02,560 Speaker 6: you ever thought about broadcasting? Said that's pretty much all 628 00:31:02,600 --> 00:31:04,680 Speaker 6: I think about. And he was a wry guy and 629 00:31:04,720 --> 00:31:05,880 Speaker 6: he said, good try that. 630 00:31:06,320 --> 00:31:12,160 Speaker 3: Wow, Bob Costas, Speaking of sports, the WNBA has a problem. 631 00:31:12,200 --> 00:31:15,520 Speaker 3: I don't remember any professional sports league ever happening their 632 00:31:15,560 --> 00:31:18,480 Speaker 3: most popular player, who's been the best thing that ever 633 00:31:18,560 --> 00:31:21,360 Speaker 3: happened to them in league history, is not liked by 634 00:31:21,400 --> 00:31:24,920 Speaker 3: the other players on the other teams so much so 635 00:31:24,960 --> 00:31:27,920 Speaker 3: they just had the All Star voting for the WNBA. 636 00:31:28,440 --> 00:31:31,920 Speaker 3: Caitlin Clark broke her record from last year among fan 637 00:31:32,120 --> 00:31:35,240 Speaker 3: voting with the gazillion votes and finished in first place. 638 00:31:35,760 --> 00:31:38,360 Speaker 3: She finished third in the media voting. With all the 639 00:31:38,440 --> 00:31:44,240 Speaker 3: media she finished ninth in player voting. Wow, four guards, 640 00:31:44,560 --> 00:31:46,240 Speaker 3: as in she wouldn't be on the team. 641 00:31:46,880 --> 00:31:50,560 Speaker 1: So yeah, so that is a problem. 642 00:31:50,640 --> 00:31:55,800 Speaker 3: And then the stats, the league commissioner said, Caitlin Clark's 643 00:31:55,800 --> 00:31:58,320 Speaker 3: not only our most popular player, she's the most popular 644 00:31:58,360 --> 00:32:03,520 Speaker 3: athlete in America, which she probably is. She her games 645 00:32:05,040 --> 00:32:09,160 Speaker 3: garnered two hundred percent more viewership than the average w 646 00:32:09,520 --> 00:32:13,840 Speaker 3: NBA game. She's responsible for almost thirty percent of all 647 00:32:14,120 --> 00:32:19,160 Speaker 3: w NBA economic activity, and all merchandise sales have risen 648 00:32:19,280 --> 00:32:24,000 Speaker 3: six hundred percent since she entered the league. Holy crap, 649 00:32:24,120 --> 00:32:27,080 Speaker 3: I mean she is so dominant in terms of making 650 00:32:27,080 --> 00:32:31,320 Speaker 3: that league relevant. But finished ninth and other player voting 651 00:32:31,320 --> 00:32:32,320 Speaker 3: for the All Star roster. 652 00:32:33,840 --> 00:32:37,200 Speaker 4: Wow, she is like her effect is similar to that 653 00:32:37,240 --> 00:32:39,480 Speaker 4: to Tiger Woods back in the day. But daughter players 654 00:32:39,480 --> 00:32:43,880 Speaker 4: didn't hate Tiger Woods. No, they might have resented getting 655 00:32:43,920 --> 00:32:45,400 Speaker 4: whooped up on every tournament. 656 00:32:45,440 --> 00:33:02,880 Speaker 1: But no, that's interesting. Strong, I'm strong ready thought. Here's 657 00:33:02,920 --> 00:33:06,360 Speaker 1: your host for final thoughts, Joe. I kind of wish 658 00:33:06,400 --> 00:33:07,600 Speaker 1: we had more time to talk about that. 659 00:33:07,680 --> 00:33:11,360 Speaker 4: It's a really interesting phenomenon evolving around race and all. 660 00:33:11,240 --> 00:33:11,840 Speaker 1: Sorts of stuff. 661 00:33:11,920 --> 00:33:15,120 Speaker 4: Hey, let's get a craction with Oh yeah, yeah, let's 662 00:33:15,120 --> 00:33:17,880 Speaker 4: get a final thought from every and how lefties hate 663 00:33:17,880 --> 00:33:20,080 Speaker 4: everybody who doesn't march to their drummer. 664 00:33:20,240 --> 00:33:23,080 Speaker 1: Yeah, he says, trying to start the future one more time. 665 00:33:23,200 --> 00:33:25,440 Speaker 1: Let's get a final thought from everybody, Michael lead us Off. 666 00:33:25,920 --> 00:33:27,680 Speaker 1: I loved hearing about Jack's vacation. 667 00:33:27,840 --> 00:33:30,520 Speaker 4: My favorite part that was him shaming his kids about 668 00:33:30,560 --> 00:33:31,720 Speaker 4: them not being in shape. 669 00:33:31,880 --> 00:33:37,280 Speaker 1: This is great, Jack, You're very great. Love it. 670 00:33:37,360 --> 00:33:41,720 Speaker 4: Yes, shut up at March, Katie Green or a steam Newswoman. 671 00:33:41,760 --> 00:33:43,240 Speaker 1: As a final thought, Katie, it. 672 00:33:43,240 --> 00:33:46,240 Speaker 5: Is wonderful to have time off, but I completely lose 673 00:33:46,320 --> 00:33:46,880 Speaker 5: track of. 674 00:33:46,880 --> 00:33:48,600 Speaker 1: Days, times, all of it. 675 00:33:48,640 --> 00:33:51,000 Speaker 3: So it's nice to have some normalcy again. 676 00:33:53,080 --> 00:33:53,320 Speaker 1: Jack. 677 00:33:53,400 --> 00:33:56,040 Speaker 4: Final thought for us, May you have a job you 678 00:33:56,080 --> 00:33:58,520 Speaker 4: look forward to coming back to. I feel very fortunate 679 00:33:58,560 --> 00:34:00,560 Speaker 4: that I was excited to come back to work today 680 00:34:00,600 --> 00:34:04,560 Speaker 4: after a week's vacation. My final thought is my vacation 681 00:34:04,600 --> 00:34:07,680 Speaker 4: I should have talked about. This started off terribly logistics 682 00:34:07,680 --> 00:34:12,680 Speaker 4: and errands on Monday, then Tuesday into Wednesday, an intestinal 683 00:34:12,719 --> 00:34:15,800 Speaker 4: illness that was like I'd swig down five gallons of 684 00:34:15,880 --> 00:34:19,120 Speaker 4: free Jolles and wash them down with some local pond 685 00:34:19,200 --> 00:34:25,319 Speaker 4: water in Tijuana. God, oh, the cramps, the cramps. But 686 00:34:25,440 --> 00:34:27,440 Speaker 4: it all went away and we finished strong, which is 687 00:34:27,520 --> 00:34:28,120 Speaker 4: kind of the key. 688 00:34:29,760 --> 00:34:32,560 Speaker 1: All forgot. If you did those things, your stomach would 689 00:34:32,560 --> 00:34:33,399 Speaker 1: be upset, so. 690 00:34:33,440 --> 00:34:36,760 Speaker 4: That, yes, and I would not be able to stray 691 00:34:36,840 --> 00:34:40,799 Speaker 4: far from the accommodation room. Armstrong and Getty wrapping up 692 00:34:40,800 --> 00:34:43,799 Speaker 4: another grueling a four hour workday. So many people, thanks, 693 00:34:43,800 --> 00:34:45,680 Speaker 4: so a little time. Go to Armstrong and getdy dot com. 694 00:34:45,680 --> 00:34:48,040 Speaker 4: Grab yourself some swag huh. Drop a note nail bag 695 00:34:48,080 --> 00:34:50,760 Speaker 4: at Armstrong and getdy dot com. Subscribe to our podcast 696 00:34:50,800 --> 00:34:53,160 Speaker 4: so you never miss an episode. We will see you tomorrow. 697 00:34:53,280 --> 00:34:57,239 Speaker 4: God bless America. 698 00:34:58,120 --> 00:35:02,520 Speaker 1: I'm Strong and Getty match great in heaven. It's all 699 00:35:02,560 --> 00:35:04,920 Speaker 1: better off and we're working together. No Joe, and everyone 700 00:35:05,000 --> 00:35:08,440 Speaker 1: knows it. So let's go with a fine No, Henry, Henry, 701 00:35:08,560 --> 00:35:13,160 Speaker 1: that is wrong. What is the biggest threat, Henry? The gorilla? 702 00:35:13,280 --> 00:35:16,000 Speaker 1: That's right. The gorilla is the biggest threat. So do 703 00:35:16,040 --> 00:35:18,719 Speaker 1: you see where my queen is right now? That is 704 00:35:18,760 --> 00:35:22,080 Speaker 1: your biggest threat. Get rid of the gorilla, Henry, that 705 00:35:22,239 --> 00:35:26,640 Speaker 1: I know. Bye Bye, Armstrong and Getty