1 00:00:11,697 --> 00:00:14,977 Speaker 1: You're listening to the Buck Sexton Show podcast. Make sure 2 00:00:15,017 --> 00:00:18,017 Speaker 1: you subscribe to the podcast on the iHeartRadio app or 3 00:00:18,057 --> 00:00:19,737 Speaker 1: wherever you get your podcasts. 4 00:00:20,177 --> 00:00:22,817 Speaker 2: Hey guys, welcome to the Buck Brief. Very excited first 5 00:00:22,817 --> 00:00:26,297 Speaker 2: time on the program. Wade Stots is here. He is 6 00:00:26,337 --> 00:00:29,817 Speaker 2: a host of The Wade Show with Wade. He is 7 00:00:29,857 --> 00:00:32,377 Speaker 2: a thought leader, which I am excited about, by the way. 8 00:00:32,417 --> 00:00:35,657 Speaker 2: I appreciate that in your bio, and he's a thoughtful guy. 9 00:00:36,497 --> 00:00:38,577 Speaker 2: We're so much week. We could talk about this week 10 00:00:39,577 --> 00:00:42,337 Speaker 2: going on right now. I wanted to throw out to you. 11 00:00:42,937 --> 00:00:46,017 Speaker 2: I think the Kamala campaign is in a quiet panic. 12 00:00:46,937 --> 00:00:49,417 Speaker 2: They're not quiet quitting, but they're quiet panicking. What do 13 00:00:49,457 --> 00:00:51,097 Speaker 2: you think, Yeah, I. 14 00:00:51,377 --> 00:00:54,097 Speaker 1: Think it's This week has certainly been a crazy one 15 00:00:54,137 --> 00:00:58,977 Speaker 1: for them. They're the just the display that we saw 16 00:00:59,137 --> 00:01:01,817 Speaker 1: at the Trump rally, with the richest man in the 17 00:01:01,857 --> 00:01:04,657 Speaker 1: world jumping around like a you know, toddler at Disneyland 18 00:01:05,137 --> 00:01:07,777 Speaker 1: and one hundred thousand people out there watching It's It's 19 00:01:07,817 --> 00:01:10,897 Speaker 1: been actually a pretty wild thing to watch these real 20 00:01:10,937 --> 00:01:14,617 Speaker 1: people gathering at real places to be excited about Trump, 21 00:01:14,977 --> 00:01:17,817 Speaker 1: whereas we have Kamala showing up on this sort of 22 00:01:18,057 --> 00:01:22,817 Speaker 1: like skanky podcast, and also and also The Late Show 23 00:01:22,857 --> 00:01:25,817 Speaker 1: with Stephen Colbert, which is kind of its own skanky podcast. 24 00:01:25,857 --> 00:01:27,897 Speaker 2: At this point, you know, I think he doesn't even 25 00:01:27,897 --> 00:01:30,377 Speaker 2: think what he does is funny anymore. I think I 26 00:01:30,377 --> 00:01:32,097 Speaker 2: think the cole Beart Show is at a point like 27 00:01:32,137 --> 00:01:36,657 Speaker 2: it's it's sad. You know, he's a little bit like 28 00:01:36,657 --> 00:01:39,217 Speaker 2: like the stripper who knows she shouldn't be doing it anymore, 29 00:01:39,257 --> 00:01:40,777 Speaker 2: but like she needs the money. 30 00:01:41,097 --> 00:01:43,817 Speaker 1: Yeah, when Black Velvet comes on, yeah he has to 31 00:01:43,857 --> 00:01:46,577 Speaker 1: come out. Yeah, yeah, it really it's it's a bizarre 32 00:01:46,577 --> 00:01:48,217 Speaker 1: thing to watch a guy. I mean, I think he's 33 00:01:48,217 --> 00:01:50,177 Speaker 1: got some talented writers. I think he's got quite a 34 00:01:50,177 --> 00:01:53,097 Speaker 1: bit of comedic talent. But yeah, I can't imagine that 35 00:01:53,177 --> 00:01:55,617 Speaker 1: he like him from thirty years ago, would be proud 36 00:01:55,657 --> 00:01:57,457 Speaker 1: to watch his show every single night. 37 00:01:57,537 --> 00:02:00,537 Speaker 2: But yeah, he was, I will always been. I thought 38 00:02:00,537 --> 00:02:02,457 Speaker 2: he was kind of funny back in the day when 39 00:02:02,497 --> 00:02:04,537 Speaker 2: he did I mean I used to. I actually thought 40 00:02:04,537 --> 00:02:06,217 Speaker 2: it was funnier than The Daily Show for a while 41 00:02:06,257 --> 00:02:09,097 Speaker 2: at John Stewart's peak, when he was doing his sort 42 00:02:09,097 --> 00:02:11,897 Speaker 2: of O'Reilly esque but I actually thought that was pretty 43 00:02:12,217 --> 00:02:13,777 Speaker 2: And I'm I was very right wing then. 44 00:02:13,777 --> 00:02:14,497 Speaker 1: I'm very right wing. 45 00:02:14,537 --> 00:02:16,497 Speaker 2: Now, I thought it was pretty funny, but unfortunately it's 46 00:02:16,497 --> 00:02:19,217 Speaker 2: just gotten kind of sad. But speaking of sad, I 47 00:02:19,257 --> 00:02:23,817 Speaker 2: mean the the Kamala campaign at this point, I well, actually, 48 00:02:23,937 --> 00:02:27,097 Speaker 2: if we're gonna talk sad, Tim Walls, I also think 49 00:02:27,137 --> 00:02:30,897 Speaker 2: that they've reached a point where they realize this guy, 50 00:02:31,057 --> 00:02:33,017 Speaker 2: this guy is kind of a nothing burger, like he's 51 00:02:33,137 --> 00:02:36,657 Speaker 2: he's actually so ineffectual and lame that it's hard for 52 00:02:36,697 --> 00:02:39,337 Speaker 2: me to get too worked up about him even being 53 00:02:39,377 --> 00:02:41,497 Speaker 2: in the second most important world. I guess actually vice 54 00:02:41,537 --> 00:02:43,057 Speaker 2: president's not that you know what I mean, like a 55 00:02:43,177 --> 00:02:46,417 Speaker 2: hardy from the presidency, right, But yeah, no, it's not 56 00:02:46,457 --> 00:02:47,457 Speaker 2: working out for him either. 57 00:02:48,257 --> 00:02:50,417 Speaker 1: No, he's yeah, he'll show up on these shows now 58 00:02:50,457 --> 00:02:52,777 Speaker 1: trying to you know, sort of look in control, as 59 00:02:52,777 --> 00:02:54,657 Speaker 1: compared to what he looked like in the debate, which 60 00:02:54,697 --> 00:02:58,097 Speaker 1: was definitely, uh, you know, a different kind of display. 61 00:02:58,337 --> 00:03:01,177 Speaker 1: But I thought in the vice presidential debate, I thought 62 00:03:01,217 --> 00:03:03,697 Speaker 1: that JD did a good job of like using Tim 63 00:03:03,737 --> 00:03:07,137 Speaker 1: Walls's nice guy thing against him. So that's at a 64 00:03:07,137 --> 00:03:09,697 Speaker 1: certain point, I think jd uh just kept saying, oh, 65 00:03:09,737 --> 00:03:10,977 Speaker 1: I agree with you on this, and I think we 66 00:03:11,217 --> 00:03:13,497 Speaker 1: agree on these points. And the sort of nice midwestern 67 00:03:13,497 --> 00:03:15,617 Speaker 1: guy had to say, oh, yeah, we're actually friends. Everything's 68 00:03:15,657 --> 00:03:18,897 Speaker 1: really good, and then forgot to attack him, and so 69 00:03:19,417 --> 00:03:20,937 Speaker 1: it was a it was a brilliant maneuver. 70 00:03:21,217 --> 00:03:23,777 Speaker 2: But yeah, I can't go ahead as I say, did 71 00:03:23,777 --> 00:03:25,897 Speaker 2: you have that moment that I think that I know 72 00:03:25,937 --> 00:03:27,297 Speaker 2: because I talked to your friends. A lot of people 73 00:03:27,297 --> 00:03:30,697 Speaker 2: did were like, what this This vice presidential debate is 74 00:03:30,777 --> 00:03:34,177 Speaker 2: so weird. It's like they're kind of being cordial, and 75 00:03:35,337 --> 00:03:37,497 Speaker 2: it's a lot like watching it was a high school debate, 76 00:03:37,497 --> 00:03:39,297 Speaker 2: would operate where you're supposed to not be mean to 77 00:03:39,337 --> 00:03:40,257 Speaker 2: your opponent. 78 00:03:40,577 --> 00:03:43,177 Speaker 1: Right, Yeah, Usually everybody after the debate is talking about 79 00:03:43,177 --> 00:03:45,297 Speaker 1: who won. And I think a lot of times the 80 00:03:45,337 --> 00:03:48,337 Speaker 1: things that people passed around after that one wasn't clips 81 00:03:48,417 --> 00:03:50,737 Speaker 1: or wasn't big dunks, but it was just these looks 82 00:03:50,777 --> 00:03:52,777 Speaker 1: that both of them gave the camera. It was it 83 00:03:52,817 --> 00:03:56,217 Speaker 1: was bizarre to see the interaction be mainly about screenshots. Uh. 84 00:03:56,377 --> 00:03:58,497 Speaker 1: And and also that Tim Wall said he was friends 85 00:03:58,497 --> 00:04:01,217 Speaker 1: with school shooters, so there was that That clip I 86 00:04:01,217 --> 00:04:02,817 Speaker 1: think was the only one I saw being passed around, 87 00:04:02,817 --> 00:04:05,297 Speaker 1: But otherwise it was just Tim Wall's just looking panicky 88 00:04:05,417 --> 00:04:07,377 Speaker 1: and and you know, JD looking at the camera. 89 00:04:07,577 --> 00:04:11,097 Speaker 2: Did you see SNL actually made fun of that one 90 00:04:11,377 --> 00:04:14,777 Speaker 2: moment or that that thing and really poking I think 91 00:04:14,777 --> 00:04:20,257 Speaker 2: at the the Kamala decision to go with Walls over Shapiro, well, 92 00:04:20,337 --> 00:04:23,377 Speaker 2: I think if they, if they lose, be one of 93 00:04:23,417 --> 00:04:27,497 Speaker 2: the big Monday morning quarterbacking sessions of the whole campaign 94 00:04:28,097 --> 00:04:32,777 Speaker 2: and SNL, which is very left wing. Fun fact, the 95 00:04:32,817 --> 00:04:35,297 Speaker 2: Weekend Update guy was my classmate and on the debate 96 00:04:35,337 --> 00:04:38,497 Speaker 2: team with me in high school, so there's that, Oh cool, yeah, yeah, yeah, 97 00:04:39,177 --> 00:04:41,097 Speaker 2: I haven't talked since we're in high school, but you know, 98 00:04:42,097 --> 00:04:44,897 Speaker 2: but yeah, the SNL is very left wing. But they 99 00:04:44,937 --> 00:04:47,937 Speaker 2: even made fun of Walls just being like not getting 100 00:04:47,937 --> 00:04:50,377 Speaker 2: it done. But also the school shooter comment was so weird. 101 00:04:51,177 --> 00:04:53,697 Speaker 2: People misspeak, but usually you would correct something like that, 102 00:04:53,817 --> 00:04:55,497 Speaker 2: and he just does not have hurt himself at all. 103 00:04:56,057 --> 00:04:58,537 Speaker 1: Yeah, I think he did several days of debate coaching 104 00:04:58,537 --> 00:05:02,217 Speaker 1: and nobody sort of flagged that line, which is bizarre. 105 00:05:02,297 --> 00:05:04,857 Speaker 1: But yeah, SNL is such a fascinating thing because I think, 106 00:05:04,937 --> 00:05:08,177 Speaker 1: like most recently on Saturday, they had Nate Pergatsey, who's 107 00:05:08,217 --> 00:05:10,817 Speaker 1: a sort of he doesn't talk about politics a lot, 108 00:05:10,897 --> 00:05:12,457 Speaker 1: He's not but he doesn't. 109 00:05:12,257 --> 00:05:14,137 Speaker 2: Feel like his stuff. Do you like his stuff? I 110 00:05:14,177 --> 00:05:16,577 Speaker 2: actually think he's really funny, and I appreciate that I 111 00:05:16,617 --> 00:05:18,577 Speaker 2: could watch him with my parents and not feel like 112 00:05:18,617 --> 00:05:19,617 Speaker 2: I have to fast forward. 113 00:05:19,697 --> 00:05:22,697 Speaker 1: You know. Yeah, absolutely, he's clean. He's also just kind 114 00:05:22,697 --> 00:05:25,417 Speaker 1: of a like, he's a Nashville guy and is building 115 00:05:25,457 --> 00:05:28,057 Speaker 1: his own kind of comedy network. But I think SNL 116 00:05:28,257 --> 00:05:30,697 Speaker 1: kind of knows that it's lost a lot of normal folks, 117 00:05:30,817 --> 00:05:32,217 Speaker 1: and then once in a while they bring on a 118 00:05:32,217 --> 00:05:36,617 Speaker 1: guy like Natepergatzy or like Shane Gillis who just appeals to, 119 00:05:36,897 --> 00:05:39,937 Speaker 1: you know, people who don't have bad relationships with their 120 00:05:40,017 --> 00:05:42,577 Speaker 1: dads or like you can tell that Shane Gillis and 121 00:05:42,697 --> 00:05:45,177 Speaker 1: Natepergatzy at least have Republican dads or at least have 122 00:05:45,737 --> 00:05:47,857 Speaker 1: that kind of thing and don't hate them, which is great. 123 00:05:47,857 --> 00:05:50,537 Speaker 1: It's a refreshing thing to see on TV. But at 124 00:05:50,577 --> 00:05:52,897 Speaker 1: a certain level, he kind of lose people after something 125 00:05:52,977 --> 00:05:56,457 Speaker 1: like the you know what was it? Hillary? Somebody dresses 126 00:05:56,537 --> 00:05:59,777 Speaker 1: Hillary Clinton singing singing some sad song after she lost. 127 00:06:00,017 --> 00:06:01,897 Speaker 1: So I don't know if they can get people back, 128 00:06:02,217 --> 00:06:03,417 Speaker 1: but at least they're trying. 129 00:06:03,737 --> 00:06:07,497 Speaker 2: I think they had somebody actually sing a song. It 130 00:06:07,577 --> 00:06:12,977 Speaker 2: was like a mournful allid with a big photo of Hillary. 131 00:06:13,017 --> 00:06:13,497 Speaker 1: Do you remember, you know? 132 00:06:13,657 --> 00:06:15,017 Speaker 2: I think that was what do you remember that? 133 00:06:15,537 --> 00:06:17,937 Speaker 1: Yeah? So if I remember right, I think yeah it was. 134 00:06:18,017 --> 00:06:22,377 Speaker 1: It was somebody singing like Halleejah. 135 00:06:22,217 --> 00:06:24,377 Speaker 2: Like Jeff Buckley. 136 00:06:24,457 --> 00:06:24,617 Speaker 1: You know. 137 00:06:24,697 --> 00:06:26,937 Speaker 2: This is like when you break up with your girlfriend 138 00:06:26,977 --> 00:06:28,977 Speaker 2: in high school and you have no context for like 139 00:06:29,017 --> 00:06:31,697 Speaker 2: how you remember in five years or whatever. That's the 140 00:06:31,777 --> 00:06:33,137 Speaker 2: kind of music that they put on. 141 00:06:33,217 --> 00:06:35,897 Speaker 1: Yeah, right, Yeah, what was supposed to be this punk 142 00:06:35,977 --> 00:06:39,177 Speaker 1: rock late night TV show where everybody gets everybody's a target. Yeah, 143 00:06:39,177 --> 00:06:41,337 Speaker 1: everybody had to have a morning moment like there was 144 00:06:41,377 --> 00:06:43,777 Speaker 1: some kind of national tragedy. Yeah. 145 00:06:43,817 --> 00:06:46,817 Speaker 2: I have to say the big regret I have of 146 00:06:46,857 --> 00:06:50,857 Speaker 2: the twenty sixteen election is I lived at that time 147 00:06:51,097 --> 00:06:56,137 Speaker 2: in Manhattan, but within a within half a mile of 148 00:06:56,257 --> 00:07:00,377 Speaker 2: the would be Hillary celebration headquarters, and I was so 149 00:07:00,537 --> 00:07:02,617 Speaker 2: busy being like I cannot believe Trump won that I 150 00:07:02,617 --> 00:07:05,577 Speaker 2: didn't think, oh my gosh, I should have gone there 151 00:07:05,617 --> 00:07:08,377 Speaker 2: and just been joy riding in the in the wreckage 152 00:07:08,457 --> 00:07:11,457 Speaker 2: left by all the all the sad shardona. 153 00:07:11,177 --> 00:07:13,297 Speaker 1: Drinking that was going on. That you had to look 154 00:07:13,337 --> 00:07:15,257 Speaker 1: like the look at the pictures. Just like the rest 155 00:07:15,297 --> 00:07:16,657 Speaker 1: of us, there's. 156 00:07:16,417 --> 00:07:18,497 Speaker 2: Plenty of let's you know, we got, we got, we 157 00:07:18,577 --> 00:07:23,097 Speaker 2: got a few, a few things here on the immediate horizon. 158 00:07:23,417 --> 00:07:26,417 Speaker 2: Uh one is uh you're going to be seeing I 159 00:07:26,497 --> 00:07:30,217 Speaker 2: think the early voting coming in and also uh, from 160 00:07:30,217 --> 00:07:33,537 Speaker 2: what we can see right now in Pennsylvania, I think 161 00:07:33,537 --> 00:07:35,137 Speaker 2: that that's going to be one of the areas of 162 00:07:35,177 --> 00:07:38,017 Speaker 2: real I think when people look at this election, they'll 163 00:07:38,057 --> 00:07:42,777 Speaker 2: see that it was Kamala's lack of connectivity with white 164 00:07:42,777 --> 00:07:46,177 Speaker 2: working class voters in particular. That is probably the the 165 00:07:46,177 --> 00:07:47,977 Speaker 2: the end of it all. But I want to get 166 00:07:47,977 --> 00:07:49,577 Speaker 2: back into the campaign in the latest of year in 167 00:07:49,617 --> 00:07:52,737 Speaker 2: just a second. The first up, you know, the inflation 168 00:07:52,817 --> 00:07:55,697 Speaker 2: that we've been contending with under this Biden administration is 169 00:07:55,697 --> 00:07:57,417 Speaker 2: not something you voted for, but you have to deal 170 00:07:57,457 --> 00:07:59,457 Speaker 2: with it and the high prices that come along with it. 171 00:07:59,897 --> 00:08:02,417 Speaker 2: But that's why I want you to deal with this 172 00:08:02,497 --> 00:08:05,937 Speaker 2: financial stress. 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Wade, what are the positive trends you're seeing 187 00:08:45,417 --> 00:08:47,377 Speaker 2: in the election and what are the things that worry 188 00:08:47,377 --> 00:08:49,897 Speaker 2: you to just in terms of winning where we have 189 00:08:49,977 --> 00:08:52,297 Speaker 2: to win, not just the presidency, any Senate races you're 190 00:08:52,297 --> 00:08:55,857 Speaker 2: concerned about, Like, give me your battlefield view of election 191 00:08:55,977 --> 00:08:56,817 Speaker 2: twenty twenty four. 192 00:08:57,497 --> 00:09:00,337 Speaker 1: Yeah, well, you mentioned Pennsylvania, and I think that's certainly, 193 00:09:00,777 --> 00:09:04,217 Speaker 1: you know, a Keystone state. But the wild thing is 194 00:09:04,297 --> 00:09:08,417 Speaker 1: that this moment that Trump couldn't have choreographed, this moment 195 00:09:08,457 --> 00:09:11,817 Speaker 1: that happened back in jo where he was almost killed, 196 00:09:12,257 --> 00:09:14,777 Speaker 1: happened in Pennsylvania, and happened in a place that was 197 00:09:14,977 --> 00:09:19,137 Speaker 1: already a battleground and then became even more so. But then, yeah, 198 00:09:19,297 --> 00:09:23,857 Speaker 1: like you mentioned earlier, not picking Shapiro, then Kamala doesn't 199 00:09:23,897 --> 00:09:27,577 Speaker 1: get to get all of the Pennsylvania draw that she 200 00:09:27,617 --> 00:09:31,217 Speaker 1: might have gotten there before. What I think is fascinating 201 00:09:31,257 --> 00:09:33,137 Speaker 1: is on the ground, I think we're seeing a lot 202 00:09:33,177 --> 00:09:38,937 Speaker 1: of every sign points to Trump winning, at least if 203 00:09:38,937 --> 00:09:41,457 Speaker 1: it were a fair fight, if there weren't thumbs on 204 00:09:41,457 --> 00:09:43,777 Speaker 1: the scales all over the place. But I think that 205 00:09:45,017 --> 00:09:49,377 Speaker 1: the media has lost enough credibility that now folks are 206 00:09:49,417 --> 00:09:51,097 Speaker 1: not waiting around to see what they have to say. 207 00:09:51,177 --> 00:09:55,177 Speaker 1: If people four years ago or eight years ago had 208 00:09:55,177 --> 00:09:56,817 Speaker 1: a certain picture of Donald Trump, I think that there 209 00:09:56,857 --> 00:09:59,057 Speaker 1: are a lot of people who don't have that picture anymore, 210 00:09:59,217 --> 00:10:03,017 Speaker 1: mainly because they've lost trust in institutions. And I think 211 00:10:03,097 --> 00:10:06,817 Speaker 1: the storms that have happened recently and the horrible ways 212 00:10:06,817 --> 00:10:09,857 Speaker 1: that people have been treated and left behind have certainly 213 00:10:09,897 --> 00:10:13,057 Speaker 1: been part of that. And I understand why folks would 214 00:10:13,057 --> 00:10:16,177 Speaker 1: be nervous about maybe calling it politicizing a storm or 215 00:10:16,217 --> 00:10:20,257 Speaker 1: something like that, but that's essentially what has already happened, 216 00:10:20,297 --> 00:10:22,657 Speaker 1: and the way that the left has treated this. I 217 00:10:22,657 --> 00:10:25,097 Speaker 1: think David Axelrod and Politico have put out all the 218 00:10:25,177 --> 00:10:28,657 Speaker 1: thought pieces about how this storm could swing the election 219 00:10:28,897 --> 00:10:31,057 Speaker 1: this way or that way. It's it's one of those 220 00:10:31,297 --> 00:10:34,777 Speaker 1: just tragic things that they're definitely not working hard to 221 00:10:34,777 --> 00:10:38,577 Speaker 1: get these rural southern states cleaned up by election day, 222 00:10:38,817 --> 00:10:41,017 Speaker 1: but they'll probably get them cleaned up by tax day 223 00:10:41,297 --> 00:10:42,177 Speaker 1: at least I can assume. 224 00:10:42,257 --> 00:10:46,177 Speaker 2: So, yeah, I think that in the aftermath. You know, 225 00:10:46,817 --> 00:10:49,457 Speaker 2: it's been a few years now, but the lessons learned 226 00:10:49,457 --> 00:10:51,577 Speaker 2: from from the COVID pandemic. One of them for me 227 00:10:51,697 --> 00:10:55,497 Speaker 2: is that this whenever a Democrat says, don't politicize fill 228 00:10:55,537 --> 00:10:58,537 Speaker 2: in the blanket's in bad faith, we'll politicize everything. The 229 00:10:58,617 --> 00:11:03,057 Speaker 2: politicize a school shooting within minutes and say things that indicate, 230 00:11:03,297 --> 00:11:05,537 Speaker 2: you know, we don't even know, you know, how many, 231 00:11:05,617 --> 00:11:07,857 Speaker 2: how many dead there are, what gun was used, or anything, 232 00:11:07,897 --> 00:11:10,617 Speaker 2: they'll politicize that right away. With COVID, they take a 233 00:11:10,617 --> 00:11:14,497 Speaker 2: mass pandemic and all of a sudden, they're telling everybody, oh, 234 00:11:14,737 --> 00:11:16,337 Speaker 2: you know, Trump is horrible, and we're all going to 235 00:11:16,377 --> 00:11:17,137 Speaker 2: I mean, I remember this. 236 00:11:17,097 --> 00:11:17,897 Speaker 1: Do you remember Trump? 237 00:11:17,977 --> 00:11:19,657 Speaker 2: Trump is going to be the reason that we all 238 00:11:19,737 --> 00:11:22,737 Speaker 2: die from COVID. I mean, it's completely insane. And so 239 00:11:22,857 --> 00:11:25,777 Speaker 2: now there's a storm, a hurricane that and by the way, 240 00:11:25,777 --> 00:11:27,857 Speaker 2: there's another one coming as you and I talk, right, 241 00:11:28,097 --> 00:11:31,017 Speaker 2: but there's a storm Heleene that already hit. And their 242 00:11:31,057 --> 00:11:34,457 Speaker 2: response to us is like, oh, yeah, we're doing a lot. 243 00:11:34,577 --> 00:11:37,857 Speaker 2: Shut up, you're lying about it. Well, why are all 244 00:11:37,897 --> 00:11:40,217 Speaker 2: these people who live in these areas so upset about it? 245 00:11:40,337 --> 00:11:42,737 Speaker 2: Like you're calling them liars? The answer is yes. By 246 00:11:42,777 --> 00:11:45,737 Speaker 2: the Morning Joe, fresh off of the plane from Nantucket, 247 00:11:45,897 --> 00:11:49,377 Speaker 2: wants the people of western North Carolina to know they're lying. 248 00:11:49,417 --> 00:11:52,097 Speaker 2: That's what Morning Joe is saying, right, yeah. 249 00:11:52,097 --> 00:11:54,697 Speaker 1: And the Kamala campaign always wants to keep things in 250 00:11:54,817 --> 00:11:56,457 Speaker 1: airy fairy world, like what we're going to do in 251 00:11:56,457 --> 00:11:58,577 Speaker 1: the future, and here's our plan, here are all the 252 00:11:58,617 --> 00:12:01,337 Speaker 1: things that we're going to do. But they're both running 253 00:12:01,337 --> 00:12:04,337 Speaker 1: on records, and so what's happening right now is the 254 00:12:04,377 --> 00:12:07,297 Speaker 1: Kamala's record is still being written, and people don't like that. 255 00:12:07,337 --> 00:12:09,657 Speaker 1: People don't like the way that it's happening. And everybody 256 00:12:09,657 --> 00:12:11,537 Speaker 1: wants to talk about what Trump, what Trump is going 257 00:12:11,617 --> 00:12:13,057 Speaker 1: to do, what Trump is going to do in the future, 258 00:12:13,177 --> 00:12:15,897 Speaker 1: just like they did back in twenty twenty, but he 259 00:12:16,017 --> 00:12:18,497 Speaker 1: was the president at the time, and he was the 260 00:12:18,537 --> 00:12:20,857 Speaker 1: president for four years. We can point to his record, 261 00:12:20,897 --> 00:12:23,577 Speaker 1: and we can point to Kamala's record, and rather than 262 00:12:23,817 --> 00:12:26,657 Speaker 1: sitting around talking about what might happen or sort of 263 00:12:26,657 --> 00:12:30,817 Speaker 1: theoretical hypothetical situations, they're both having to deal with their 264 00:12:30,857 --> 00:12:34,017 Speaker 1: own behavior. And Trump has a great record to go on. 265 00:12:34,297 --> 00:12:37,417 Speaker 1: Kamala just doesn't. People aren't happy right now, and she 266 00:12:38,017 --> 00:12:40,057 Speaker 1: can point to that and say I'm going to fix it. 267 00:12:40,097 --> 00:12:42,337 Speaker 1: But you know she is in power right now. 268 00:12:43,217 --> 00:12:45,057 Speaker 2: I'm going to put a question out there that I 269 00:12:45,097 --> 00:12:47,217 Speaker 2: want you to will answer when I come back from 270 00:12:47,297 --> 00:12:49,177 Speaker 2: this sponsor in a second, but just want everyone to 271 00:12:49,217 --> 00:12:51,777 Speaker 2: hear this for who is actually the president right now. 272 00:12:52,497 --> 00:12:55,577 Speaker 2: I think it's more complicated than a lot of people 273 00:12:55,737 --> 00:12:58,097 Speaker 2: would would respond, but we'll get to that in a second. 274 00:12:59,057 --> 00:13:01,377 Speaker 2: Our nation's operating systems are having more than their fair 275 00:13:01,417 --> 00:13:03,697 Speaker 2: share of failures, that's for sure, and some of the 276 00:13:03,697 --> 00:13:06,817 Speaker 2: top researchers at Stansbury Research certainly think so. Now they 277 00:13:06,897 --> 00:13:08,977 Speaker 2: produce financial research might be saying why do they care 278 00:13:09,017 --> 00:13:12,257 Speaker 2: about infrastructure and all that? Well, they have an insightful 279 00:13:12,297 --> 00:13:14,897 Speaker 2: new report that will explain it all about how strange 280 00:13:14,937 --> 00:13:18,297 Speaker 2: so called accidents are happening across America for a reason, 281 00:13:18,497 --> 00:13:21,857 Speaker 2: a reason that affects markets, your dollars in the bank, 282 00:13:22,217 --> 00:13:24,737 Speaker 2: your stocks, if you're in the markets. We've seen reports 283 00:13:24,737 --> 00:13:27,257 Speaker 2: of nine to one call centers going offline, red reports 284 00:13:27,257 --> 00:13:29,577 Speaker 2: of a plane almost falling apart mid flight. One of 285 00:13:29,577 --> 00:13:32,137 Speaker 2: the big reveals was the number of train accidents last year, 286 00:13:32,177 --> 00:13:34,737 Speaker 2: some forty seven hundred and all. Learn why so many 287 00:13:34,777 --> 00:13:37,617 Speaker 2: big accidents are now taking place in America and exactly 288 00:13:37,657 --> 00:13:40,337 Speaker 2: where and when the next big accidents most likely to occur. 289 00:13:40,617 --> 00:13:43,337 Speaker 2: Go to America disaster dot com to watch the free 290 00:13:43,377 --> 00:13:48,137 Speaker 2: presentation that's America Disaster dot Com. Wait, I mean I 291 00:13:48,137 --> 00:13:49,937 Speaker 2: asked who the president is? I want you to answer that. 292 00:13:49,977 --> 00:13:53,537 Speaker 2: And also, just what do you think when Biden has 293 00:13:53,577 --> 00:13:55,937 Speaker 2: sort of appeared recently a few times in the media, 294 00:13:56,337 --> 00:13:58,377 Speaker 2: It's like, oh, yeah, I guess that guy's still the president. 295 00:13:58,897 --> 00:14:01,337 Speaker 2: I feel like the Kamala campaign has got to be 296 00:14:01,577 --> 00:14:05,297 Speaker 2: just just streaming into the pillow, like they don't want 297 00:14:05,297 --> 00:14:07,777 Speaker 2: anyone to know, but they must be so angry that 298 00:14:07,897 --> 00:14:10,377 Speaker 2: this guy is showing up and clowning up everything. 299 00:14:11,537 --> 00:14:14,577 Speaker 1: Yeah, I think it's We're in an odd time where 300 00:14:14,897 --> 00:14:18,817 Speaker 1: I don't think that the presidency as such really even exists. 301 00:14:18,937 --> 00:14:21,897 Speaker 1: It's kind of this office that doesn't really people aren't 302 00:14:22,457 --> 00:14:25,897 Speaker 1: even though people might still have some kind of residual 303 00:14:25,937 --> 00:14:28,617 Speaker 1: respect for the office, the office itself isn't what it 304 00:14:28,697 --> 00:14:32,017 Speaker 1: used to be. And what I think the regime right 305 00:14:32,057 --> 00:14:34,537 Speaker 1: now is uncomfortable with is that Trump seems like he 306 00:14:34,577 --> 00:14:37,977 Speaker 1: actually wants to be president, rather than Kamala over here, 307 00:14:37,977 --> 00:14:40,457 Speaker 1: who wants to be whatever Biden is, which is kind 308 00:14:40,497 --> 00:14:42,537 Speaker 1: of a figurehead who goes out and talks once in 309 00:14:42,537 --> 00:14:46,737 Speaker 1: a while. And so who's the president? I mean, as 310 00:14:46,737 --> 00:14:49,257 Speaker 1: far as the presidency exists, I guess it's Joe Biden. 311 00:14:49,337 --> 00:14:51,937 Speaker 1: But that says more about the office itself. I think 312 00:14:51,977 --> 00:14:55,177 Speaker 1: the office has been demeaned so much that it doesn't 313 00:14:55,177 --> 00:14:58,617 Speaker 1: really count unless somebody like Trump gets in, and then 314 00:14:58,817 --> 00:15:02,857 Speaker 1: whatever he does will be I guess what again, running 315 00:15:02,857 --> 00:15:04,857 Speaker 1: for the actual office, like it says on the paper, 316 00:15:05,377 --> 00:15:06,937 Speaker 1: rather than running for what it's become. 317 00:15:07,697 --> 00:15:11,137 Speaker 2: Well, have you even heard anyone try to make the 318 00:15:11,297 --> 00:15:16,097 Speaker 2: argument or explain how it is that Biden is not 319 00:15:16,257 --> 00:15:20,617 Speaker 2: of sufficient mind to keep running for reelection and therefore 320 00:15:20,697 --> 00:15:24,697 Speaker 2: be president in the next year, but is of sufficient 321 00:15:24,817 --> 00:15:28,057 Speaker 2: mind to be president right now? You know what I mean? Right, Like, 322 00:15:28,177 --> 00:15:30,977 Speaker 2: does have the cognition, he can have the new codes 323 00:15:31,057 --> 00:15:33,217 Speaker 2: today and for the next few months, but we got 324 00:15:33,217 --> 00:15:34,737 Speaker 2: to take him away by January. 325 00:15:34,777 --> 00:15:37,337 Speaker 1: How does that work? Right? Yeah, we had this bizarre 326 00:15:37,497 --> 00:15:42,017 Speaker 1: time where Biden quit and then passed passed the torch 327 00:15:42,017 --> 00:15:45,977 Speaker 1: to Kamala, but didn't ever say why. It didn't explicitly 328 00:15:45,977 --> 00:15:48,537 Speaker 1: say why he's He just said like, well, it's time. 329 00:15:48,577 --> 00:15:50,617 Speaker 1: It's just it's just time to change. Yeah. I don't 330 00:15:50,657 --> 00:15:53,497 Speaker 1: think there is an argument. There's there's a certain level 331 00:15:53,497 --> 00:15:56,377 Speaker 1: at which he knows that he's been pressed pushed out. 332 00:15:56,377 --> 00:15:58,497 Speaker 1: Everybody around him knows that he's been pushed out, but 333 00:15:58,577 --> 00:16:02,937 Speaker 1: nobody can nobody has permission to say why. Everybody everybody 334 00:16:03,017 --> 00:16:05,497 Speaker 1: knows it was because he was embarrassed in the debate. 335 00:16:05,777 --> 00:16:07,657 Speaker 1: And then I think they might have held on to 336 00:16:07,777 --> 00:16:10,697 Speaker 1: him after the debate if it weren't for the attempted 337 00:16:10,697 --> 00:16:14,337 Speaker 1: assassination on Trump, because that made Trump look really strong 338 00:16:14,617 --> 00:16:17,937 Speaker 1: as opposed to Biden, who had just been embarrassed, and 339 00:16:18,017 --> 00:16:20,417 Speaker 1: the media at that point they turned all of their 340 00:16:20,457 --> 00:16:23,937 Speaker 1: negative energy that they'd been associating with Trump onto Biden, 341 00:16:24,137 --> 00:16:26,777 Speaker 1: and so the media went after Trump chased him out 342 00:16:26,777 --> 00:16:29,577 Speaker 1: of office and with the help of obviously Nancy Pelosi 343 00:16:29,857 --> 00:16:32,857 Speaker 1: and the other folks there. But then after that they've 344 00:16:33,057 --> 00:16:35,097 Speaker 1: they're stuck now with Kamala. I think I think they 345 00:16:35,257 --> 00:16:39,377 Speaker 1: delayed as much as they could picking Kamala, but they 346 00:16:39,617 --> 00:16:41,657 Speaker 1: it was the best option that they thought they had. 347 00:16:42,697 --> 00:16:45,297 Speaker 1: And yeah, I can't imagine that they're pleased with the 348 00:16:45,337 --> 00:16:46,537 Speaker 1: position they put themselves in. 349 00:16:47,057 --> 00:16:49,537 Speaker 2: Isn't it interesting that there's a chance here, Wade? I mean, 350 00:16:49,697 --> 00:16:52,017 Speaker 2: I heard you know, your analysis aligns with how I 351 00:16:52,097 --> 00:16:56,417 Speaker 2: see it in Pennsylvania. There's a chance that a that 352 00:16:56,577 --> 00:17:03,337 Speaker 2: the poor Kamala VP pick by Joe Biden was one 353 00:17:03,377 --> 00:17:05,857 Speaker 2: of the worst decisions because that led to this no 354 00:17:06,017 --> 00:17:09,377 Speaker 2: primary switch and the whole thing is a mess, and 355 00:17:09,417 --> 00:17:13,497 Speaker 2: now Aamaa may not actually win because of her poor 356 00:17:13,537 --> 00:17:16,257 Speaker 2: pick as a VP, Right, I mean, two VP picks 357 00:17:16,257 --> 00:17:18,337 Speaker 2: that you would like. Usually VP doesn't No one even 358 00:17:18,337 --> 00:17:20,857 Speaker 2: remembers who was VP in the nineties or the eighties, right, Like, 359 00:17:20,897 --> 00:17:23,737 Speaker 2: it's not, you know, wasn't the guy you know, Potato? 360 00:17:23,897 --> 00:17:26,137 Speaker 2: And it's like the media attacking the Republican of course, 361 00:17:26,377 --> 00:17:28,577 Speaker 2: but you shoot, what I mean a bad Joe Biden 362 00:17:28,657 --> 00:17:31,457 Speaker 2: VP pick and a bad Kamala Harris VP pick could 363 00:17:31,457 --> 00:17:34,297 Speaker 2: be like a cascading failure. 364 00:17:35,137 --> 00:17:37,537 Speaker 1: Yeah, well, it certainly is at a certain level where 365 00:17:38,897 --> 00:17:41,377 Speaker 1: Obama had to pick somebody who could sort of sit 366 00:17:41,417 --> 00:17:44,137 Speaker 1: in the background and look nice or at least, you know, 367 00:17:44,257 --> 00:17:46,937 Speaker 1: smile for smile for the camera. Biden had to pick 368 00:17:46,977 --> 00:17:49,297 Speaker 1: somebody that was worse than he was, and then Kamala 369 00:17:49,337 --> 00:17:51,697 Speaker 1: has to pick somebody who's worse than she is. It 370 00:17:51,737 --> 00:17:53,897 Speaker 1: doesn't look good for the future of the Democratic Party 371 00:17:53,897 --> 00:17:56,857 Speaker 1: if everybody's just constantly scaling down trying to find trying 372 00:17:56,897 --> 00:17:59,177 Speaker 1: to find somebody who's worse than they are. But yeah, 373 00:17:59,217 --> 00:18:01,497 Speaker 1: definitely worse in front of the camera, as we as 374 00:18:01,497 --> 00:18:05,257 Speaker 1: we saw with Tim Malls. It's a nasty situation they've 375 00:18:05,257 --> 00:18:07,937 Speaker 1: gotten the men selves into. But again, that also assumes 376 00:18:07,977 --> 00:18:11,697 Speaker 1: that the entire office that they're running for is the 377 00:18:11,817 --> 00:18:14,217 Speaker 1: actual office that's written down on paper in the Constitution, 378 00:18:14,497 --> 00:18:16,137 Speaker 1: that this is what the president and vice president they're 379 00:18:16,177 --> 00:18:18,497 Speaker 1: going to do. At some level, they're not even really 380 00:18:18,537 --> 00:18:21,337 Speaker 1: good figureheads. It would be back in the day the 381 00:18:21,377 --> 00:18:24,337 Speaker 1: Democrats had a decent figurehead like Obama and a decent 382 00:18:24,337 --> 00:18:28,337 Speaker 1: figurehead like Bill Clinton, but now their figureheads aren't even 383 00:18:29,177 --> 00:18:30,137 Speaker 1: holding up to scrutiny. 384 00:18:31,297 --> 00:18:33,337 Speaker 2: I mean, how is it? This is almost like this 385 00:18:33,417 --> 00:18:35,977 Speaker 2: is like a metaphysical or we're getting to like the 386 00:18:36,017 --> 00:18:39,217 Speaker 2: existential here country of I don't know. I mean, how 387 00:18:39,217 --> 00:18:41,097 Speaker 2: many illegals We could do a whole podcast on that. 388 00:18:41,337 --> 00:18:43,777 Speaker 2: It's probably I think there's about twenty five million illegals 389 00:18:43,777 --> 00:18:47,377 Speaker 2: in the country, but could be low whatever. There's tens 390 00:18:47,417 --> 00:18:49,497 Speaker 2: of millions for sure, because we had eleven million plus 391 00:18:49,537 --> 00:18:51,977 Speaker 2: at least about ten million under Biden, So call it 392 00:18:52,057 --> 00:18:54,457 Speaker 2: twenty five or thirty million, but three hundred and fifty 393 00:18:54,457 --> 00:18:57,577 Speaker 2: million people in the country roughly, and we have Joe 394 00:18:57,577 --> 00:18:59,857 Speaker 2: Biden and Kamala Harris. Really like this, this is where 395 00:18:59,857 --> 00:19:00,937 Speaker 2: we are? How did this happen? 396 00:19:01,977 --> 00:19:06,097 Speaker 1: Right? Yeah, it's at a certain level, the like the 397 00:19:06,177 --> 00:19:11,217 Speaker 1: deureacratization of the whole office is such that the person 398 00:19:11,297 --> 00:19:13,337 Speaker 1: who's on the front of the ticket just needs to 399 00:19:13,337 --> 00:19:15,537 Speaker 1: be have enough name recognition to get the check mark 400 00:19:15,617 --> 00:19:18,817 Speaker 1: next to their name, and so we kind of all 401 00:19:18,897 --> 00:19:21,297 Speaker 1: know that anybody who's voting for Kamala Harris and voting 402 00:19:21,297 --> 00:19:23,857 Speaker 1: for Joe Biden is basically voting for the status quo, 403 00:19:24,137 --> 00:19:26,737 Speaker 1: voting for how the direction things have been going for 404 00:19:26,777 --> 00:19:29,457 Speaker 1: a very long time. Even at some level, while Trump 405 00:19:29,497 --> 00:19:32,377 Speaker 1: was in office, with all the deep state fighting against him, 406 00:19:32,977 --> 00:19:34,817 Speaker 1: the Washington tried as hard as they could to push 407 00:19:34,857 --> 00:19:38,937 Speaker 1: him out. Eventually they ended up succeeding. But that's essentially 408 00:19:38,937 --> 00:19:42,097 Speaker 1: what Kamala represents. Kamala represents voting for the thing that 409 00:19:42,097 --> 00:19:44,177 Speaker 1: we the way things have been going for a long time, 410 00:19:44,777 --> 00:19:47,057 Speaker 1: and anybody who's sped up with that is kind of 411 00:19:47,257 --> 00:19:50,617 Speaker 1: by default over on the Trump team. And Trump represents 412 00:19:50,617 --> 00:19:52,817 Speaker 1: at some level the desire that people have out in 413 00:19:52,817 --> 00:19:55,657 Speaker 1: the country to change that, to have something other than 414 00:19:55,697 --> 00:19:59,017 Speaker 1: the status quo. And this coalition of people that have 415 00:19:59,137 --> 00:20:03,537 Speaker 1: gathered behind Trump are varied. They have lots of different priorities, 416 00:20:03,657 --> 00:20:07,777 Speaker 1: they have even differences with Donald Trump himself, but the 417 00:20:07,857 --> 00:20:10,097 Speaker 1: thing they have in common is I don't like the 418 00:20:10,137 --> 00:20:12,217 Speaker 1: way things are going, and I don't and I will 419 00:20:12,257 --> 00:20:15,177 Speaker 1: not continue to just vote for the status quo, for 420 00:20:15,217 --> 00:20:18,577 Speaker 1: the for the blog, for the swamp in Washington, and 421 00:20:18,657 --> 00:20:22,297 Speaker 1: vote voting for the system. And at some level people 422 00:20:22,337 --> 00:20:25,857 Speaker 1: want disruption and they've been able to hang some of 423 00:20:25,897 --> 00:20:29,377 Speaker 1: that hope on Trump. Whether Trump's worthy of that or not. 424 00:20:31,177 --> 00:20:32,857 Speaker 2: I want to come in and ask you about the 425 00:20:32,857 --> 00:20:35,657 Speaker 2: Elon factor in all of this here. And you know 426 00:20:35,697 --> 00:20:38,497 Speaker 2: you mentioned him jump you know, he's like, you know, 427 00:20:39,377 --> 00:20:41,617 Speaker 2: we've talked about he jumps around. He's very excited. He's 428 00:20:41,617 --> 00:20:43,617 Speaker 2: at the rally and Butler, we'll get to this year 429 00:20:43,657 --> 00:20:46,337 Speaker 2: in just a second. But if you're saving some retirement 430 00:20:46,337 --> 00:20:49,377 Speaker 2: accounts a one hundred percent invested in cash, look you're 431 00:20:49,377 --> 00:20:52,137 Speaker 2: not alone, but you should give some serious consideration to 432 00:20:52,217 --> 00:20:55,617 Speaker 2: diversifying with gold and silver. Look at gold throughout history 433 00:20:55,617 --> 00:20:57,217 Speaker 2: and look at the price of gold today. It's been 434 00:20:57,217 --> 00:20:59,697 Speaker 2: an at all time high recently. The gold has been 435 00:20:59,737 --> 00:21:01,937 Speaker 2: a store of value. It has been something that has 436 00:21:01,977 --> 00:21:07,457 Speaker 2: maintained value during inflation, even hyperinflation. Gold is solid and 437 00:21:07,537 --> 00:21:10,177 Speaker 2: birch gold can can assist you in getting gold than 438 00:21:10,257 --> 00:21:12,617 Speaker 2: silver on hand. 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Text Buck 448 00:21:38,217 --> 00:21:41,657 Speaker 2: to ninety eight ninety eight ninety eight. And yeah, do 449 00:21:41,977 --> 00:21:44,457 Speaker 2: you think that that Elon? I see one thing I 450 00:21:44,457 --> 00:21:45,937 Speaker 2: love about him, not only to see the richest guy 451 00:21:45,937 --> 00:21:47,457 Speaker 2: in the world, give or take, and he's doing all 452 00:21:47,457 --> 00:21:49,497 Speaker 2: these amazing companies and all this cool stuff. He is 453 00:21:49,617 --> 00:21:53,537 Speaker 2: so red pilled and also kind of a class trader 454 00:21:53,577 --> 00:21:57,497 Speaker 2: to the Silicon Valley billionaire oligarchy, which I just love. 455 00:21:58,897 --> 00:22:01,417 Speaker 1: Yeah, he's this guy. What I love about the teaming 456 00:22:01,497 --> 00:22:03,817 Speaker 1: up of Elon and Trump is that they're both kind 457 00:22:03,817 --> 00:22:06,377 Speaker 1: of like that. They're guys who kind of came up 458 00:22:06,417 --> 00:22:11,137 Speaker 1: within the established regime or came up within the established system, 459 00:22:11,537 --> 00:22:14,177 Speaker 1: and have decided that they're not satisfying with that, and 460 00:22:14,217 --> 00:22:17,377 Speaker 1: so the money and the influence that they've built up 461 00:22:17,457 --> 00:22:20,577 Speaker 1: through that system is now being used against it, so 462 00:22:20,617 --> 00:22:22,977 Speaker 1: that even in the response to the most recent hurricane, 463 00:22:23,217 --> 00:22:26,177 Speaker 1: what we've seen is two guys who are private citizens 464 00:22:26,617 --> 00:22:30,617 Speaker 1: who have for at least shown a little bit more 465 00:22:30,697 --> 00:22:34,257 Speaker 1: legitimacy than the reigning government. So they've been able to 466 00:22:34,257 --> 00:22:36,777 Speaker 1: help out where the people who are supposed to the 467 00:22:36,777 --> 00:22:39,377 Speaker 1: people who again on paper, are supposed to be helping out, 468 00:22:39,537 --> 00:22:43,017 Speaker 1: are not. And so those two guys paired up is 469 00:22:43,337 --> 00:22:45,937 Speaker 1: kind of a dream team. And I think I think 470 00:22:45,937 --> 00:22:49,737 Speaker 1: I think some folks will have some think that Elon's 471 00:22:49,777 --> 00:22:52,057 Speaker 1: being cynical and that he thinks, oh, maybe I can 472 00:22:52,057 --> 00:22:54,857 Speaker 1: steer Trump, Maybe maybe I can hop on this thing 473 00:22:54,857 --> 00:22:57,617 Speaker 1: that's already running and winning, and so that I can 474 00:22:58,577 --> 00:23:01,257 Speaker 1: join up and I'll be in his favor once he wins. 475 00:23:01,657 --> 00:23:04,457 Speaker 1: But what I think is happening is he actually is 476 00:23:04,697 --> 00:23:06,817 Speaker 1: so like, you don't jump up and down like that 477 00:23:06,937 --> 00:23:09,617 Speaker 1: on the stage. You don't change your profile picture to 478 00:23:09,657 --> 00:23:12,737 Speaker 1: you wearing darknaga had. He has no nothing to gain 479 00:23:12,817 --> 00:23:16,537 Speaker 1: reputationally from this. He's made plenty of decisions that at 480 00:23:16,577 --> 00:23:18,857 Speaker 1: some level don't make sense on paper and don't make 481 00:23:18,897 --> 00:23:22,297 Speaker 1: sense with financially. He's making a bet at some level 482 00:23:22,497 --> 00:23:24,377 Speaker 1: that Trump's gonna win, that it's gonna be good for 483 00:23:24,417 --> 00:23:26,937 Speaker 1: the country. And I think it's it's a vision that 484 00:23:27,017 --> 00:23:31,097 Speaker 1: a lot of folks who just who can get behind, 485 00:23:31,177 --> 00:23:34,137 Speaker 1: and folks who are already on Trump's side and folks 486 00:23:34,177 --> 00:23:36,377 Speaker 1: who just you know, think that Elon's a cool guy 487 00:23:36,417 --> 00:23:37,617 Speaker 1: and we are all going to go live on Mars. 488 00:23:37,857 --> 00:23:41,617 Speaker 1: Like again, that coalition is a bizarre thing that's happening. 489 00:23:41,657 --> 00:23:45,537 Speaker 1: But all of them again dissatisfied with what we have now. 490 00:23:45,857 --> 00:23:47,617 Speaker 2: Yeah, I mean, look, I used to think electric cars 491 00:23:47,617 --> 00:23:49,577 Speaker 2: were kind of absurd, at least in the early days, 492 00:23:49,617 --> 00:23:51,897 Speaker 2: with like Prius, which was in the right, which is 493 00:23:52,057 --> 00:23:55,777 Speaker 2: maybe the ugliest car I think ever designed in history. Yeah, 494 00:23:55,817 --> 00:23:58,217 Speaker 2: and it's funny because you know, they had these other cars. 495 00:23:58,257 --> 00:23:58,937 Speaker 1: This is true story. 496 00:23:58,977 --> 00:24:02,737 Speaker 2: Actually, in the early days of evs, the Prius, even 497 00:24:02,737 --> 00:24:05,297 Speaker 2: though everyone thought it was ugly, because it was all 498 00:24:05,337 --> 00:24:07,857 Speaker 2: about showing people that you drive in ev it was 499 00:24:07,897 --> 00:24:10,737 Speaker 2: far more popular than the cars that look like normal cars, 500 00:24:10,777 --> 00:24:13,137 Speaker 2: like the normal version of the car, but we're electric, right, 501 00:24:13,177 --> 00:24:16,097 Speaker 2: So it was true. It was like virtue signaling via marketing. 502 00:24:16,137 --> 00:24:18,657 Speaker 2: That was the whole thing. Yeah. But now with the Tesla, 503 00:24:18,737 --> 00:24:20,377 Speaker 2: I'm like, this stuff is actually cool, Like I might 504 00:24:20,417 --> 00:24:22,137 Speaker 2: get one. I don't know, I think it'd be fun 505 00:24:22,137 --> 00:24:24,537 Speaker 2: to someone in my neighborhood drives a I'm not kidding 506 00:24:24,817 --> 00:24:27,657 Speaker 2: pink cyber truck, which I was like, that's that's bold, 507 00:24:27,777 --> 00:24:29,457 Speaker 2: it's bright pink, and it's the cyber truck. 508 00:24:29,497 --> 00:24:30,097 Speaker 1: So there you go. 509 00:24:30,977 --> 00:24:33,457 Speaker 2: Wait, where can people wait? Wait, I've seen your content. 510 00:24:33,457 --> 00:24:35,137 Speaker 2: That's how I found you. So you're doing great stuff. 511 00:24:35,137 --> 00:24:37,417 Speaker 2: Where can people go to check out the Wade Show? 512 00:24:38,297 --> 00:24:40,537 Speaker 1: Well, I'm on YouTube. The Wade Show with Wade is 513 00:24:40,537 --> 00:24:42,457 Speaker 1: the name of the show, and I'm also on x 514 00:24:42,617 --> 00:24:44,857 Speaker 1: at Wade Stats to be a d E S t 515 00:24:44,937 --> 00:24:47,137 Speaker 1: O T t S. I post my videos there and 516 00:24:47,137 --> 00:24:51,017 Speaker 1: then also I have a paywalled podcast on something called 517 00:24:51,057 --> 00:24:53,577 Speaker 1: Canon Plus. I work with a company called Canon Press 518 00:24:53,657 --> 00:24:57,457 Speaker 1: up in Idaho and we that's where we have the podcast. 519 00:24:57,457 --> 00:25:00,457 Speaker 1: We do interviews and things like that. It's a fun 520 00:25:00,497 --> 00:25:00,897 Speaker 1: place to be. 521 00:25:01,297 --> 00:25:03,017 Speaker 2: Go check it out. Wait, thanks for being with us, man, 522 00:25:03,017 --> 00:25:03,417 Speaker 2: good to see. 523 00:25:04,097 --> 00:25:04,817 Speaker 1: Thank you for having me.