1 00:00:00,080 --> 00:00:01,599 Speaker 1: Hey, guys, Saga and Crystal here. 2 00:00:01,680 --> 00:00:05,200 Speaker 2: Independent media just played a truly massive role in this election, 3 00:00:05,360 --> 00:00:07,840 Speaker 2: and we are so excited about what that means for 4 00:00:07,880 --> 00:00:08,720 Speaker 2: the future of the show. 5 00:00:08,880 --> 00:00:10,760 Speaker 3: This is the only place where you can find honest 6 00:00:10,760 --> 00:00:13,280 Speaker 3: perspectives from the left and the right that simply does 7 00:00:13,320 --> 00:00:14,680 Speaker 3: not exist anywhere else. 8 00:00:14,760 --> 00:00:17,080 Speaker 2: So if that is something that's important to you, please 9 00:00:17,120 --> 00:00:19,599 Speaker 2: go to Breakingpoints dot com. Become a member today and 10 00:00:19,640 --> 00:00:22,800 Speaker 2: you'll get access to our full shows, unedited, ad free, 11 00:00:22,800 --> 00:00:25,600 Speaker 2: and all put together for you every morning in your inbox. 12 00:00:25,680 --> 00:00:27,560 Speaker 3: We need your help to build the future of independent 13 00:00:27,560 --> 00:00:29,920 Speaker 3: news media and we hope to see you at Breakingpoints 14 00:00:29,960 --> 00:00:33,680 Speaker 3: dot com. 15 00:00:33,800 --> 00:00:36,560 Speaker 1: Good morning, everybody, Happy Monday. We have an amazing show 16 00:00:36,600 --> 00:00:38,280 Speaker 1: for everybody today where we have Crystal d. 17 00:00:38,360 --> 00:00:39,960 Speaker 4: We do glad to have you back, my friend. 18 00:00:40,040 --> 00:00:41,640 Speaker 1: Thank you. Yeah, it was it was a rough one 19 00:00:41,640 --> 00:00:41,919 Speaker 1: out there. 20 00:00:41,920 --> 00:00:43,879 Speaker 3: It's the worst flu season since two thousand and nine, 21 00:00:43,920 --> 00:00:46,920 Speaker 3: So everybody out there please take precautions. Stay away from 22 00:00:47,240 --> 00:00:49,400 Speaker 3: anybody who tells you that they're feeling okay, it's not 23 00:00:49,479 --> 00:00:51,239 Speaker 3: too bad, Stay away from them. 24 00:00:51,440 --> 00:00:54,840 Speaker 4: Yes, yes, be free to breaking out the mask and 25 00:00:54,960 --> 00:00:55,360 Speaker 4: so for. 26 00:00:55,320 --> 00:00:57,840 Speaker 3: Real, Yeah, this will be the only time I will 27 00:00:57,920 --> 00:01:00,440 Speaker 3: endorse mask we're in culture, especially if you're people who 28 00:01:01,040 --> 00:01:02,080 Speaker 3: have children and all of that. 29 00:01:02,200 --> 00:01:03,080 Speaker 1: It's it's a rough one. 30 00:01:03,080 --> 00:01:06,160 Speaker 3: I know multiple people who've been inflicted, so stay away 31 00:01:06,200 --> 00:01:08,319 Speaker 3: from them. And if you hear my voice crack, it's 32 00:01:08,319 --> 00:01:09,640 Speaker 3: not my fault. I apologize. 33 00:01:09,640 --> 00:01:12,520 Speaker 2: My daughter's second grade class has been absolutely decimated. 34 00:01:12,640 --> 00:01:13,000 Speaker 1: Horrible. 35 00:01:13,000 --> 00:01:14,480 Speaker 4: We've gotten i won't. 36 00:01:14,240 --> 00:01:17,280 Speaker 2: Say unscathed, but we've escaped the worst of it so 37 00:01:17,400 --> 00:01:20,400 Speaker 2: far this year. So fingers crossed, the weather turns nicer 38 00:01:20,440 --> 00:01:21,600 Speaker 2: and some of these things died down. 39 00:01:21,720 --> 00:01:23,040 Speaker 4: Yes, it's been a rough one. 40 00:01:23,080 --> 00:01:23,640 Speaker 1: It's been bad. 41 00:01:23,720 --> 00:01:25,760 Speaker 4: So in any case, glad you're back. We've got a 42 00:01:25,800 --> 00:01:26,520 Speaker 4: lot to talk about. 43 00:01:27,160 --> 00:01:32,200 Speaker 2: ELON sent out a weekend ultimatum to old federal government employees. Interestingly, though, 44 00:01:32,280 --> 00:01:35,160 Speaker 2: a lot of the agencies are telling their workers, including 45 00:01:35,200 --> 00:01:38,319 Speaker 2: you know, FBI now under cash Betel, Department of Defense, 46 00:01:38,319 --> 00:01:42,240 Speaker 2: et cetera, don't respond to this email. So very interesting 47 00:01:42,319 --> 00:01:45,440 Speaker 2: dynamics playing out here. We got some new polls revealing 48 00:01:45,480 --> 00:01:47,720 Speaker 2: the latest about how the public feels about DOJ and 49 00:01:47,760 --> 00:01:50,160 Speaker 2: ELON and all of these things that are unfolding. We 50 00:01:50,240 --> 00:01:52,840 Speaker 2: also had a purge of some of the top brass 51 00:01:52,840 --> 00:01:55,480 Speaker 2: at the Pentagon. We'll tell you what happened and what 52 00:01:55,520 --> 00:01:59,120 Speaker 2: it potentially means elections in Germany. So the far right 53 00:01:59,160 --> 00:02:01,960 Speaker 2: party there AFI, which have been boosted by Jade Vans 54 00:02:01,960 --> 00:02:06,080 Speaker 2: and also prominently by Elon Musk comes in second. Really 55 00:02:06,520 --> 00:02:12,679 Speaker 2: interesting political dynamics there. Inflation, the war in Ukraine, immigration economics, 56 00:02:12,800 --> 00:02:15,960 Speaker 2: incumbent parties, all of these trends playing out in Germany. 57 00:02:16,000 --> 00:02:17,640 Speaker 4: So we'll break that down for you as well. 58 00:02:18,200 --> 00:02:21,440 Speaker 2: Bernie is out doing some barn burner town halls in 59 00:02:21,480 --> 00:02:25,280 Speaker 2: Nebraska and Iowan particular, massive overflow crowds, kind of leading 60 00:02:25,280 --> 00:02:28,400 Speaker 2: the way for Democrats. He actually has a strategy that 61 00:02:28,440 --> 00:02:30,840 Speaker 2: he is pursuing low and behold. At least one person 62 00:02:31,040 --> 00:02:33,840 Speaker 2: has some idea of what they're doing out there. Warren 63 00:02:33,880 --> 00:02:37,160 Speaker 2: Buffett is hoarding the most amount of cash in Berkshire 64 00:02:37,160 --> 00:02:39,840 Speaker 2: Hathaway that he ever has, So what does that indicate. 65 00:02:39,880 --> 00:02:42,360 Speaker 2: There are also some other troubling economic indicators. We're going 66 00:02:42,400 --> 00:02:45,079 Speaker 2: to take a look at all of that. And Luigimngioni 67 00:02:45,200 --> 00:02:48,399 Speaker 2: main appearance in court. Our own Spencer Snyder was there 68 00:02:48,440 --> 00:02:51,160 Speaker 2: on the ground talking to people who are outside protesters 69 00:02:51,200 --> 00:02:53,760 Speaker 2: and his supporters who were outside, explaining what they thought 70 00:02:53,800 --> 00:02:56,799 Speaker 2: about his case and why they were there to support him, 71 00:02:56,840 --> 00:02:58,680 Speaker 2: so really interested to get that on the ground report 72 00:02:58,680 --> 00:02:58,960 Speaker 2: as well. 73 00:02:59,000 --> 00:02:59,600 Speaker 1: Yes, that's right. 74 00:03:00,080 --> 00:03:02,799 Speaker 3: Continue to monitor the faq on his website with a 75 00:03:02,840 --> 00:03:03,760 Speaker 3: lot of great interest. 76 00:03:03,840 --> 00:03:04,880 Speaker 1: Did you watch that segment? 77 00:03:04,960 --> 00:03:05,000 Speaker 2: No? 78 00:03:05,280 --> 00:03:06,800 Speaker 1: Yeah, Ryan and I did it. 79 00:03:06,800 --> 00:03:09,000 Speaker 3: It was an faq all about how people can send 80 00:03:09,080 --> 00:03:12,639 Speaker 3: him photographs and to keep in mind that those photographs 81 00:03:12,680 --> 00:03:15,480 Speaker 3: are screened by the police. Just it turns up the 82 00:03:15,600 --> 00:03:18,880 Speaker 3: number of third straft Luigi finds himself. 83 00:03:18,400 --> 00:03:20,480 Speaker 1: Receiving on what did you say? 84 00:03:20,520 --> 00:03:23,120 Speaker 3: He's a great I have to say, I told you 85 00:03:23,200 --> 00:03:25,760 Speaker 3: guys on the call, I am absolutely in love with 86 00:03:25,840 --> 00:03:28,600 Speaker 3: Luigi's sweater. I'm in the market, so if anybody knows 87 00:03:28,840 --> 00:03:30,800 Speaker 3: where he got it, please let me know. All right, 88 00:03:30,880 --> 00:03:33,320 Speaker 3: let's go ahead and start with does so actually a 89 00:03:33,400 --> 00:03:36,480 Speaker 3: very interesting showdown happening here in Washington? And I would 90 00:03:36,480 --> 00:03:40,280 Speaker 3: say the first like major institutional pushback within the MAGA 91 00:03:40,480 --> 00:03:42,880 Speaker 3: coalition the government against Doe. Here. 92 00:03:42,960 --> 00:03:44,400 Speaker 1: Let's put this up there on the screen. 93 00:03:44,440 --> 00:03:48,480 Speaker 3: It began with like an office Space style meme email 94 00:03:48,520 --> 00:03:52,440 Speaker 3: that Elon sent to the entire federal workforce on Saturday 95 00:03:52,800 --> 00:03:55,360 Speaker 3: around three pm, and it says, what did you do 96 00:03:55,600 --> 00:04:01,560 Speaker 3: last week? Please reply with approximately five bullets. Note of 97 00:04:02,200 --> 00:04:05,360 Speaker 3: like the weird pronunciation, There five bullets of what you 98 00:04:05,440 --> 00:04:08,200 Speaker 3: accomplished last week and c see your manager. Please do 99 00:04:08,280 --> 00:04:12,360 Speaker 3: not send any classified information, links or attachments. Deadline is 100 00:04:12,400 --> 00:04:16,200 Speaker 3: this Monday at eleven fifty nine EST. So let's go 101 00:04:16,240 --> 00:04:20,000 Speaker 3: to Elon's explanation for that email. It says, consistent with 102 00:04:20,040 --> 00:04:24,200 Speaker 3: President Trump's instructions, all federal employees will shortly receive an 103 00:04:24,240 --> 00:04:26,800 Speaker 3: email requesting to understand what they got done last week. 104 00:04:27,080 --> 00:04:31,159 Speaker 3: Failure to respond will be taken as resignation. So this 105 00:04:31,360 --> 00:04:36,600 Speaker 3: appears to have been probably the most explicit example of 106 00:04:36,760 --> 00:04:40,800 Speaker 3: elon slash dose quote unquote overreach with pushback, because what 107 00:04:40,880 --> 00:04:44,680 Speaker 3: immediately happened was their agencies telling them not to comply. 108 00:04:44,839 --> 00:04:47,040 Speaker 3: Keep in mind Trump has not spoken out about this 109 00:04:47,200 --> 00:04:49,159 Speaker 3: at all. If anything's been encouraging him to go further, 110 00:04:49,320 --> 00:04:51,520 Speaker 3: put that next one, please so we can show people. 111 00:04:51,520 --> 00:04:53,640 Speaker 3: It says Elon is doing a great job, but I 112 00:04:53,640 --> 00:04:55,800 Speaker 3: would like to see him get more aggressive. Remember we 113 00:04:55,839 --> 00:04:58,039 Speaker 3: have a country to save, but ultimately to make greater 114 00:04:58,120 --> 00:05:02,919 Speaker 3: than ever before Maga. Imediately, though, following that email, Cash Patel, 115 00:05:03,080 --> 00:05:08,120 Speaker 3: the newly confirmed FBI director, directed his entire workforce not 116 00:05:08,400 --> 00:05:12,320 Speaker 3: to respond to the email. It just says all FBI personnel, 117 00:05:12,400 --> 00:05:15,520 Speaker 3: may I love may have received an email from OPM 118 00:05:15,560 --> 00:05:18,279 Speaker 3: requesting information. The FBI, through the Office of the Director, 119 00:05:18,560 --> 00:05:20,520 Speaker 3: is in charge of all of our review processes and 120 00:05:20,560 --> 00:05:24,200 Speaker 3: will conduct reviews in accordance with FBI procedures. When and 121 00:05:24,279 --> 00:05:27,760 Speaker 3: if further information is required, we will coordinate the responses 122 00:05:27,960 --> 00:05:31,120 Speaker 3: for now. Please pause any responses. Thank you, Cash Ptel. 123 00:05:31,680 --> 00:05:35,599 Speaker 3: On the right is RFK Junior actually, who reversed his 124 00:05:35,680 --> 00:05:38,920 Speaker 3: original policy telling his workforce to reply to the email, 125 00:05:38,960 --> 00:05:42,040 Speaker 3: saying HHS leadership continues to work with APM officials and 126 00:05:42,080 --> 00:05:45,160 Speaker 3: how to best meet the intent of yesterday's notice. Employees 127 00:05:45,200 --> 00:05:49,799 Speaker 3: are therefore directed to pause activities and answering the OPM email. 128 00:05:49,920 --> 00:05:53,920 Speaker 3: Additional guidance will be provided on or around noon tomorrow. 129 00:05:54,000 --> 00:05:57,159 Speaker 3: And then finally, the Pentagon also weigh in here. Let's 130 00:05:57,200 --> 00:06:00,360 Speaker 3: go to a four. Please just to show people, Apartment 131 00:06:00,360 --> 00:06:03,880 Speaker 3: of Defense, the entire Pentagon received the following email. When 132 00:06:04,040 --> 00:06:06,799 Speaker 3: if required, the Department will coordinate responses to the email 133 00:06:07,080 --> 00:06:09,720 Speaker 3: you have received from oer PM. So I do think 134 00:06:09,760 --> 00:06:11,720 Speaker 3: this is very significant, Crystal. I think it's the very 135 00:06:11,720 --> 00:06:15,359 Speaker 3: first time that you've seen Doge and or Elon, you know, 136 00:06:15,520 --> 00:06:17,599 Speaker 3: send one of these mass emails. 137 00:06:17,680 --> 00:06:18,760 Speaker 1: Beyond even the quote. 138 00:06:18,600 --> 00:06:21,839 Speaker 3: Unquote fork in the road the buyout, this one was 139 00:06:21,880 --> 00:06:25,200 Speaker 3: one where the directors of the agencies really step forward 140 00:06:25,200 --> 00:06:27,359 Speaker 3: and they're like, yeah, that's just not happening in terms 141 00:06:27,400 --> 00:06:29,760 Speaker 3: of you trying to run my workforce. 142 00:06:29,760 --> 00:06:31,279 Speaker 1: So I do find it actually very interesting. 143 00:06:31,640 --> 00:06:33,840 Speaker 3: And I mean I'm presuming that there's at least some 144 00:06:33,920 --> 00:06:36,560 Speaker 3: Trump support or maybe the Chief of Staff Susie Wiles 145 00:06:36,560 --> 00:06:39,920 Speaker 3: somebody like this, because it's just obviously like overriding chain 146 00:06:40,000 --> 00:06:43,000 Speaker 3: of command, you know, the Senate, confirmed appointees and the 147 00:06:43,000 --> 00:06:44,800 Speaker 3: workforce and others. So this could be a turning point. 148 00:06:44,800 --> 00:06:46,320 Speaker 3: I'm actually curious to see how it goes. 149 00:06:46,440 --> 00:06:47,159 Speaker 4: Yeah, we'll see. 150 00:06:47,800 --> 00:06:50,880 Speaker 2: There's a lot that's interesting about this and the dynamics 151 00:06:50,880 --> 00:06:53,960 Speaker 2: and the way that it played out. So first of all, 152 00:06:54,000 --> 00:06:58,919 Speaker 2: I didn't realize this, but apparently previously, like before cash 153 00:06:58,920 --> 00:07:01,599 Speaker 2: Battel was not needed to be director of the FBI, 154 00:07:01,680 --> 00:07:03,880 Speaker 2: and certainly before he was confirmed, et cetera, he was 155 00:07:03,960 --> 00:07:04,839 Speaker 2: quite critical of Youwan. 156 00:07:05,200 --> 00:07:06,480 Speaker 4: He went on a bunch of podcasts. 157 00:07:06,600 --> 00:07:09,720 Speaker 2: Our friends over at drop Site actually compiled all of 158 00:07:09,760 --> 00:07:11,920 Speaker 2: this information. But he went on a bunch of podcasts 159 00:07:11,920 --> 00:07:13,840 Speaker 2: where he's very critical of him, like kind of similar 160 00:07:13,880 --> 00:07:17,640 Speaker 2: to like the Steve Bannon style criticism critical of him 161 00:07:17,680 --> 00:07:19,880 Speaker 2: on his Twitter account. And you could just imagine for 162 00:07:19,960 --> 00:07:22,640 Speaker 2: all these people who like you know, got their spot 163 00:07:23,280 --> 00:07:26,040 Speaker 2: as an agency head and went through Senate confirmation, did 164 00:07:26,040 --> 00:07:28,360 Speaker 2: the whole thing, and then you get in there and 165 00:07:28,400 --> 00:07:32,040 Speaker 2: on basically day one, you've got this goofball over here, 166 00:07:32,200 --> 00:07:34,040 Speaker 2: richest man on the planet who thinks he can just 167 00:07:34,080 --> 00:07:35,760 Speaker 2: come in over your head and be like, yeah, I'm 168 00:07:35,760 --> 00:07:37,520 Speaker 2: going to fire a bunch of your workforce if they 169 00:07:37,520 --> 00:07:40,320 Speaker 2: don't respond to my email in a couple of days time. 170 00:07:40,800 --> 00:07:44,960 Speaker 2: And so whereas congressional Republicans seem to have been pretty 171 00:07:45,120 --> 00:07:48,200 Speaker 2: comfortable just like feeding all of their power and authority 172 00:07:48,240 --> 00:07:52,400 Speaker 2: to Elon into Dooge, these agency heads were like, wait. 173 00:07:52,200 --> 00:07:56,400 Speaker 4: A second, no, no, no, no, no, this is my workforce. 174 00:07:56,800 --> 00:07:59,360 Speaker 2: I have some authority at this agency, and you're not 175 00:07:59,400 --> 00:08:02,200 Speaker 2: going to just completely bigfoot me on all of this. 176 00:08:02,480 --> 00:08:05,200 Speaker 2: So we'll see, you know. The RFK one was interesting 177 00:08:05,280 --> 00:08:08,040 Speaker 2: as well because initially the guidance he put out was 178 00:08:08,080 --> 00:08:10,320 Speaker 2: go ahead and respond to this email, and then they 179 00:08:10,320 --> 00:08:12,920 Speaker 2: sort of backtracked and said like, well, I actually, you know, 180 00:08:13,040 --> 00:08:14,920 Speaker 2: pause your work on that email was I think the 181 00:08:14,960 --> 00:08:16,960 Speaker 2: way they phrased it in the sort of like awkward 182 00:08:16,960 --> 00:08:20,040 Speaker 2: worded email. I'll tell you I've mentioned this before. You know, 183 00:08:20,160 --> 00:08:21,560 Speaker 2: the town I live in, which is the town I 184 00:08:21,560 --> 00:08:23,960 Speaker 2: grew up on, which is not DC, which is not 185 00:08:24,040 --> 00:08:26,120 Speaker 2: even northern of Virginia. It really is this like you know, 186 00:08:26,400 --> 00:08:30,560 Speaker 2: rural community totally built around a naval base where they 187 00:08:30,600 --> 00:08:33,320 Speaker 2: do a bunch of civilian research. So it's mostly like 188 00:08:33,360 --> 00:08:35,840 Speaker 2: civilian There are active duty military there as well, it's 189 00:08:35,840 --> 00:08:38,480 Speaker 2: mostly like civilian scientists that work there. And so I 190 00:08:38,520 --> 00:08:41,840 Speaker 2: was talking to some of my very non political, like 191 00:08:42,000 --> 00:08:45,240 Speaker 2: parent friends there about all this is going down, and 192 00:08:45,280 --> 00:08:49,040 Speaker 2: I mean they're completely panicked. They have never seen anything 193 00:08:49,120 --> 00:08:52,000 Speaker 2: like it. They're deeply confused about what to do. One 194 00:08:52,000 --> 00:08:54,720 Speaker 2: of them showed me the communication that they got from 195 00:08:54,880 --> 00:08:58,559 Speaker 2: the captain who runs their particular group at the base, 196 00:08:58,679 --> 00:09:00,520 Speaker 2: and it was like, actually, the think of it was 197 00:09:00,600 --> 00:09:02,680 Speaker 2: kind of funny because they were like, we're not sure 198 00:09:02,720 --> 00:09:06,520 Speaker 2: this email is real, so while we're investigating, just go 199 00:09:06,520 --> 00:09:09,280 Speaker 2: ahead and don't respond to this email. 200 00:09:09,480 --> 00:09:10,680 Speaker 4: But you know, it. 201 00:09:10,600 --> 00:09:14,040 Speaker 2: Really is for the federal government workforce, which by the 202 00:09:14,080 --> 00:09:16,360 Speaker 2: way is I think a majority of them actually work 203 00:09:16,400 --> 00:09:18,920 Speaker 2: for the Department of Defense. It is not necessarily the 204 00:09:19,080 --> 00:09:22,240 Speaker 2: like caricatureish view that people have of some like you know, 205 00:09:22,360 --> 00:09:26,320 Speaker 2: super liberal political activists bureaucrat. Many of them live and 206 00:09:26,400 --> 00:09:30,640 Speaker 2: work outside of DC in rural areas, many whom are Republicans. 207 00:09:30,679 --> 00:09:32,160 Speaker 2: By the way, I mean most of these people who 208 00:09:32,160 --> 00:09:34,760 Speaker 2: work on this space, I know for a fact vote Republican. 209 00:09:34,840 --> 00:09:36,720 Speaker 2: The town that I'm from is like sixty to sixty 210 00:09:36,720 --> 00:09:40,360 Speaker 2: five percent Trump supporting kind of a county. So anyway, 211 00:09:40,400 --> 00:09:43,640 Speaker 2: there's a vast wat of people who are really being 212 00:09:43,840 --> 00:09:47,400 Speaker 2: shaken by this approach from Elon and the chaos that 213 00:09:47,400 --> 00:09:49,400 Speaker 2: it's injected into this entire workforce. 214 00:09:49,480 --> 00:09:52,959 Speaker 3: Yeah, the numbers here from Claude. We have four million 215 00:09:53,040 --> 00:09:55,360 Speaker 3: people who work for the federal government. It is the 216 00:09:55,480 --> 00:09:59,120 Speaker 3: largest employer in the United States. Approximately eighty five percent 217 00:09:59,160 --> 00:10:03,120 Speaker 3: of federal employe civilian employees work outside of the Washington, 218 00:10:03,200 --> 00:10:07,600 Speaker 3: DC metropolitan area. The distribution exactly as you said, military 219 00:10:07,640 --> 00:10:12,040 Speaker 3: bases which are located throughout the country, federal agencies, national parks, 220 00:10:12,160 --> 00:10:15,760 Speaker 3: VA hospitals, border patrol, and the Social Security Administration, which 221 00:10:15,760 --> 00:10:17,440 Speaker 3: has an office in most counties. 222 00:10:17,679 --> 00:10:20,240 Speaker 1: I believe every county across the United States. 223 00:10:20,040 --> 00:10:22,000 Speaker 3: So let's put a five up there on the screen 224 00:10:22,120 --> 00:10:25,000 Speaker 3: just to show people even more so kind of what 225 00:10:25,040 --> 00:10:28,880 Speaker 3: this is leading to. The OPM email has been met 226 00:10:28,920 --> 00:10:31,839 Speaker 3: not only with some of the most high profile agencies 227 00:10:31,960 --> 00:10:34,600 Speaker 3: saying not to comply, but you also have some of 228 00:10:34,640 --> 00:10:38,160 Speaker 3: the largest unions of federal workers telling them as well 229 00:10:38,400 --> 00:10:41,480 Speaker 3: to be cautious responding or not to respond at all. 230 00:10:41,520 --> 00:10:44,520 Speaker 3: But I think most important really is the State Department 231 00:10:44,600 --> 00:10:48,400 Speaker 3: said not to do with THEE and the Commerce Department 232 00:10:48,640 --> 00:10:53,360 Speaker 3: specifically Noah and NSA employees were told the same not 233 00:10:53,440 --> 00:10:55,400 Speaker 3: to I guess, you know, theoretically they should, right. 234 00:10:55,520 --> 00:10:56,360 Speaker 1: Well, that was. 235 00:10:56,280 --> 00:11:00,520 Speaker 2: Actually another point that one of the parents in King 236 00:11:00,520 --> 00:11:02,440 Speaker 2: George County where I live made as well. It's like 237 00:11:02,880 --> 00:11:05,679 Speaker 2: he's like, you know, we all have like really high 238 00:11:05,760 --> 00:11:09,920 Speaker 2: levels of classification, and so if you're just like mass 239 00:11:10,000 --> 00:11:12,800 Speaker 2: firing a bunch of people who have some of the 240 00:11:12,880 --> 00:11:16,559 Speaker 2: highest security clearances in the government, He's like, you know, 241 00:11:17,200 --> 00:11:19,000 Speaker 2: how loyal do you think they're going to be feeling 242 00:11:19,040 --> 00:11:20,080 Speaker 2: to the country after that? 243 00:11:20,480 --> 00:11:22,840 Speaker 1: You know, I mean, I don't don't like that because it's. 244 00:11:22,640 --> 00:11:24,840 Speaker 2: Like a risk as well to all of this because 245 00:11:24,920 --> 00:11:27,920 Speaker 2: it is done in such a like, you know, there's 246 00:11:28,200 --> 00:11:32,120 Speaker 2: it's just such a blanket across the board, no thought 247 00:11:32,160 --> 00:11:34,960 Speaker 2: into how many years of service you've put in, how 248 00:11:35,000 --> 00:11:37,679 Speaker 2: effective an employee you've been, how significant you've been into 249 00:11:37,720 --> 00:11:40,600 Speaker 2: the organization, just like zero loyalty whatsoever. 250 00:11:40,800 --> 00:11:42,600 Speaker 3: Yeah, the only reason I don't like that is because 251 00:11:42,760 --> 00:11:45,079 Speaker 3: it presumed that it's like, oh, if we don't pay them, 252 00:11:45,120 --> 00:11:46,880 Speaker 3: then they're going to go work for somebody else. It's like, 253 00:11:46,880 --> 00:11:48,720 Speaker 3: why that might be true in theory, is just it 254 00:11:48,800 --> 00:11:50,640 Speaker 3: kind of you know, hits against the idea. 255 00:11:50,720 --> 00:11:53,800 Speaker 2: I mean, I'm not ultra like advocating to it, but 256 00:11:53,840 --> 00:11:56,720 Speaker 2: I am saying it, like, these are human beings, you know, right, 257 00:11:56,760 --> 00:12:00,160 Speaker 2: And if you've shown if you put in twenty years 258 00:12:00,200 --> 00:12:02,760 Speaker 2: of loyal service to the government as a civil servant 259 00:12:03,080 --> 00:12:06,920 Speaker 2: and then you're just booted out unceremoniously for literally no reason, 260 00:12:07,640 --> 00:12:09,760 Speaker 2: I think that's probably going to impact how loyal you. 261 00:12:09,679 --> 00:12:12,240 Speaker 3: Feel to your Maybe the Russians in the Chinese are 262 00:12:12,280 --> 00:12:13,360 Speaker 3: just rubbing their hands. 263 00:12:13,600 --> 00:12:15,359 Speaker 4: They maybe they maybe. 264 00:12:15,080 --> 00:12:18,200 Speaker 3: Let's go to a six here we have. This was 265 00:12:18,280 --> 00:12:22,200 Speaker 3: flagged by Ken Clippenstein. He's Jerry Connelly, who is what 266 00:12:22,280 --> 00:12:24,240 Speaker 3: is he? The head of the dem Oversight Committee. 267 00:12:24,320 --> 00:12:24,760 Speaker 1: That's correct. 268 00:12:24,920 --> 00:12:28,960 Speaker 3: Yeah, he's currently battling cancer. But Ken has really mounted 269 00:12:28,960 --> 00:12:31,720 Speaker 3: a war against him just for not because of his illness, 270 00:12:31,800 --> 00:12:34,880 Speaker 3: just to show like gerontocracy and who the Democratic Party chooses. 271 00:12:35,040 --> 00:12:37,079 Speaker 4: They chose this guy over AOC, right. 272 00:12:37,120 --> 00:12:40,480 Speaker 3: So yeah, here was his response on the federal email. 273 00:12:40,520 --> 00:12:41,280 Speaker 3: Let's take a listen. 274 00:12:41,640 --> 00:12:44,920 Speaker 1: What are you recommending federal workers should do? 275 00:12:45,320 --> 00:12:47,640 Speaker 5: When they turn on the news today, they hear this 276 00:12:48,000 --> 00:12:50,360 Speaker 5: and they're like, I got a deadline by tomorrow night. 277 00:12:50,400 --> 00:12:55,480 Speaker 1: What should I do this? Yeah? I hesitate to give 278 00:12:55,520 --> 00:12:56,319 Speaker 1: personal advice. 279 00:12:56,720 --> 00:12:59,440 Speaker 5: I guess if you can cover yourself and do the 280 00:12:59,480 --> 00:13:01,800 Speaker 5: five things you did last week, just to be able 281 00:13:01,840 --> 00:13:02,160 Speaker 5: to say. 282 00:13:02,080 --> 00:13:02,720 Speaker 6: Well I did it. 283 00:13:03,080 --> 00:13:05,360 Speaker 3: So yeah, he's like, well, maybe just respond to the email. 284 00:13:05,400 --> 00:13:07,439 Speaker 3: We were I'm you and I are willing to cut 285 00:13:07,440 --> 00:13:07,640 Speaker 3: the guy. 286 00:13:07,800 --> 00:13:09,120 Speaker 4: I'm a little sympathetic. Well. 287 00:13:09,160 --> 00:13:12,880 Speaker 2: First of all, background on Jerry Connolly. He before he 288 00:13:13,000 --> 00:13:16,040 Speaker 2: was in Congress, he was the chair of the Board 289 00:13:16,040 --> 00:13:17,840 Speaker 2: of Supervisors in Fairfax County. 290 00:13:17,960 --> 00:13:19,160 Speaker 4: Yeah, he has been. 291 00:13:19,400 --> 00:13:23,240 Speaker 2: He his district represents Fairfax County and the environs. He 292 00:13:23,320 --> 00:13:26,120 Speaker 2: probably has more federal government workers in his district than 293 00:13:26,280 --> 00:13:28,760 Speaker 2: any other district in the country or certainly among the top. 294 00:13:28,920 --> 00:13:32,080 Speaker 2: So this is very like like he knows these people, 295 00:13:32,480 --> 00:13:34,920 Speaker 2: so he's thinking about He's not thinking about like how 296 00:13:34,920 --> 00:13:36,200 Speaker 2: do you make a political point. 297 00:13:36,360 --> 00:13:37,840 Speaker 4: He's thinking about, like, you know. 298 00:13:38,320 --> 00:13:41,480 Speaker 2: Susie who works in wherever, wants to keep her job. 299 00:13:41,720 --> 00:13:43,800 Speaker 2: She's not trying to make some political stance. And so 300 00:13:43,880 --> 00:13:46,760 Speaker 2: I'm actually sympathetic to this because if somebody, you know, 301 00:13:46,840 --> 00:13:48,440 Speaker 2: my county just asked me, like what should I do, 302 00:13:48,559 --> 00:13:49,400 Speaker 2: I don't know what I'd say. 303 00:13:49,440 --> 00:13:50,200 Speaker 4: I don't know what I tell them. 304 00:13:50,200 --> 00:13:51,720 Speaker 2: I'm I don't want to put them at risk to 305 00:13:51,800 --> 00:13:55,079 Speaker 2: like get fired out of some stupid over some stupid emails. 306 00:13:55,120 --> 00:13:58,360 Speaker 2: So you know, a better response would have been talk 307 00:13:58,440 --> 00:14:01,280 Speaker 2: to your union, talk to your supervisor, like figure out 308 00:14:01,280 --> 00:14:03,680 Speaker 2: what the coordinated response is, versus like, I don't know, 309 00:14:03,720 --> 00:14:05,800 Speaker 2: I guess just respond to the email and cover yourself. 310 00:14:05,840 --> 00:14:07,560 Speaker 4: But I am a little bit sympathetic to him. 311 00:14:07,480 --> 00:14:08,200 Speaker 1: Here on this one. 312 00:14:08,440 --> 00:14:10,480 Speaker 3: I think you're I think we were willing to cut 313 00:14:10,640 --> 00:14:12,800 Speaker 3: a little bit of slack. I have also taken a 314 00:14:12,840 --> 00:14:15,959 Speaker 3: personal census of some of the federal employees who. 315 00:14:15,840 --> 00:14:17,760 Speaker 1: I know, and they're not happy right now. 316 00:14:18,080 --> 00:14:20,360 Speaker 3: Maybe I'm sure there's some mag of people who are 317 00:14:20,440 --> 00:14:22,240 Speaker 3: cheering about it, but really what it is is about 318 00:14:22,280 --> 00:14:25,640 Speaker 3: the chaos and people just not really knowing what to do. 319 00:14:25,720 --> 00:14:29,040 Speaker 1: How this will manifest politically. I genuinely have no idea. 320 00:14:29,320 --> 00:14:31,560 Speaker 3: I have been thinking about that statistic about the number 321 00:14:31,560 --> 00:14:34,200 Speaker 3: of people employed by the federal government, just because as 322 00:14:34,200 --> 00:14:36,200 Speaker 3: we know formula and people work for the government. Than 323 00:14:36,240 --> 00:14:38,920 Speaker 3: if we think about family, then everybody probably has a 324 00:14:38,960 --> 00:14:42,640 Speaker 3: cousin or you know, a friend or some daughter, son, whatever, 325 00:14:43,080 --> 00:14:46,320 Speaker 3: somebody who works for the FEDS who is currently experiencing this. 326 00:14:46,440 --> 00:14:50,200 Speaker 3: And what we know from COVID is that the reason 327 00:14:50,320 --> 00:14:52,480 Speaker 3: why I think that the twenty twenty election is the 328 00:14:52,520 --> 00:14:55,640 Speaker 3: highest turnout election in modern history is because it was 329 00:14:55,680 --> 00:14:59,120 Speaker 3: the first time that government really touched people's lives in 330 00:14:59,160 --> 00:15:03,160 Speaker 3: an ultrati way, be it checks, be it lockdowns, be 331 00:15:03,200 --> 00:15:06,960 Speaker 3: it vaccine mandates, Like the government policy had never been 332 00:15:07,120 --> 00:15:11,800 Speaker 3: more directly intervention in your bank account and in your life. 333 00:15:11,880 --> 00:15:14,600 Speaker 3: And so in this case, you know, if the government 334 00:15:14,680 --> 00:15:18,240 Speaker 3: is seen as being axing your job or causing stress 335 00:15:18,560 --> 00:15:21,920 Speaker 3: or any of that, it could certainly activate and give 336 00:15:22,000 --> 00:15:26,880 Speaker 3: people a reason to turn out, which is something I 337 00:15:26,880 --> 00:15:30,040 Speaker 3: think is a good transition to our next polling segment, 338 00:15:30,080 --> 00:15:33,160 Speaker 3: which is just about how people are feeling about Elon 339 00:15:33,280 --> 00:15:35,840 Speaker 3: and or Doge. I'm gonna give my normal caveat just everybody, 340 00:15:35,880 --> 00:15:39,040 Speaker 3: remember how wrong the poles were back in twenty twenty four, 341 00:15:39,160 --> 00:15:42,200 Speaker 3: not that long ago. So keep that in mind when 342 00:15:42,200 --> 00:15:44,760 Speaker 3: you're looking at this and all the other structural problems. 343 00:15:44,800 --> 00:15:46,760 Speaker 3: It's all we really have to go off of. So 344 00:15:46,880 --> 00:15:49,120 Speaker 3: based on that, what are we seeing? Can we make 345 00:15:49,160 --> 00:15:52,880 Speaker 3: possibly some inferences. CNN's Harry Enton, who we always respect, 346 00:15:52,880 --> 00:15:54,640 Speaker 3: broke some of the numbers down that we do have. 347 00:15:54,920 --> 00:15:55,800 Speaker 1: Let's take a listen. 348 00:15:56,080 --> 00:15:59,560 Speaker 5: The people are mad, they are angry, they are rising 349 00:15:59,640 --> 00:16:02,280 Speaker 5: up to look here top worst things that Trump has done. 350 00:16:02,320 --> 00:16:04,800 Speaker 5: This is among the folks who oppose Trump actions in 351 00:16:04,840 --> 00:16:07,040 Speaker 5: office so far. You might have thought going into the 352 00:16:07,040 --> 00:16:09,840 Speaker 5: election ry afterwards of the immigration policy, but that comes 353 00:16:09,880 --> 00:16:12,160 Speaker 5: into just ten percent. Check out on this side of 354 00:16:12,200 --> 00:16:14,640 Speaker 5: the screen. Tho, I'm coming over to mister burman'side. Must 355 00:16:14,920 --> 00:16:18,040 Speaker 5: doge or the funding freezers right, these funding cuts? Look 356 00:16:18,080 --> 00:16:21,080 Speaker 5: at that that takes the cake twenty four percent. That 357 00:16:21,200 --> 00:16:24,640 Speaker 5: is the top answer amongst those who oppose Donald Trump's 358 00:16:24,680 --> 00:16:28,080 Speaker 5: actions in office, saying it is the worst thing that 359 00:16:28,200 --> 00:16:31,680 Speaker 5: he has done so far. It's must it's doge, it's 360 00:16:31,720 --> 00:16:34,280 Speaker 5: those funding cuts. The people are mad, and if last 361 00:16:34,360 --> 00:16:36,600 Speaker 5: night is an example that town hall, they ain't gonna 362 00:16:36,600 --> 00:16:40,080 Speaker 5: take it anymore. The most significant Trump action this term 363 00:16:40,200 --> 00:16:43,440 Speaker 5: so far. Look at this. Democrats are more angry about 364 00:16:43,480 --> 00:16:46,160 Speaker 5: this than Republicans are happy about it. Look at this. Democrats, 365 00:16:46,400 --> 00:16:50,240 Speaker 5: eighteen percent say that the must doze access to data 366 00:16:50,320 --> 00:16:53,880 Speaker 5: is the most significant action so far for Trump this term. 367 00:16:54,040 --> 00:16:55,520 Speaker 5: Bring it over to this side of the screen. Look 368 00:16:55,560 --> 00:16:58,840 Speaker 5: at this. Just nine percent of Republicans say that must 369 00:16:58,880 --> 00:17:01,480 Speaker 5: doge and the access to data is the most significant 370 00:17:01,480 --> 00:17:05,400 Speaker 5: Trump action so far. So Elon mus is becoming this 371 00:17:06,000 --> 00:17:09,520 Speaker 5: rallying point for Anger, this rallying point for Anger. On 372 00:17:09,560 --> 00:17:12,399 Speaker 5: the left. Back in December of twenty twenty four, he 373 00:17:12,480 --> 00:17:15,439 Speaker 5: was underwater, but just underwater by five points. Look at 374 00:17:15,440 --> 00:17:17,800 Speaker 5: where he is now in February twenty twenty five. The 375 00:17:17,840 --> 00:17:21,120 Speaker 5: American people are turning against Elon Musk. His net favorable 376 00:17:21,160 --> 00:17:25,000 Speaker 5: rating way down there pass now minus ten points, minus 377 00:17:25,000 --> 00:17:27,959 Speaker 5: twelve points. The bottom line is this, the voters are 378 00:17:27,960 --> 00:17:30,399 Speaker 5: angry with the Elon Musk. They're angry with the cuts 379 00:17:30,400 --> 00:17:31,240 Speaker 5: of the federal government. 380 00:17:31,400 --> 00:17:34,639 Speaker 1: So that's the top line here in terms of the numbers. 381 00:17:34,680 --> 00:17:36,600 Speaker 3: Krystal and I were just talking while the thing was 382 00:17:36,640 --> 00:17:38,680 Speaker 3: going in terms of the polls, and I guess it's 383 00:17:38,680 --> 00:17:40,679 Speaker 3: worth talking about in terms of what it is. 384 00:17:40,720 --> 00:17:42,400 Speaker 1: What do you think? So overall the. 385 00:17:42,320 --> 00:17:45,159 Speaker 3: Statistical analysis saw so like a rough like three percent 386 00:17:45,240 --> 00:17:47,600 Speaker 3: miss across the word. It's not terrible, but of course 387 00:17:47,600 --> 00:17:50,639 Speaker 3: that was within the margin of error, especially in a 388 00:17:50,640 --> 00:17:53,000 Speaker 3: lot of these swing states. My only caution, as I 389 00:17:53,040 --> 00:17:56,040 Speaker 3: was telling you, is about the oversampling of Democrats. That 390 00:17:56,119 --> 00:17:58,440 Speaker 3: was clearly a big problem from twenty twenty. It was 391 00:17:58,480 --> 00:18:00,600 Speaker 3: a big problem twenty twenty four part of the reason 392 00:18:00,640 --> 00:18:04,280 Speaker 3: where the MYSS was and especially right now, just because Democrats, 393 00:18:04,840 --> 00:18:07,639 Speaker 3: if that is to be trusted, especially enthusiasm number, if 394 00:18:07,680 --> 00:18:10,199 Speaker 3: they're a lot more likely to be politically engaged and 395 00:18:10,320 --> 00:18:13,159 Speaker 3: or respond to, can skew things differently from where they are. 396 00:18:13,160 --> 00:18:15,239 Speaker 3: I just want to caution people just considering how I mean, 397 00:18:15,280 --> 00:18:18,000 Speaker 3: the Iowa stuff and all that is just too too ingrained, 398 00:18:18,000 --> 00:18:20,199 Speaker 3: and it's been too soon since all of that for 399 00:18:20,280 --> 00:18:23,159 Speaker 3: me to fully put my trust in all of this. 400 00:18:23,280 --> 00:18:24,720 Speaker 4: Although I think that's all valid. 401 00:18:24,880 --> 00:18:26,560 Speaker 2: The only thing I will say is if we're thinking, 402 00:18:26,640 --> 00:18:28,760 Speaker 2: if we're projecting these polls out to like, Okay, well, 403 00:18:28,760 --> 00:18:31,800 Speaker 2: what does a mid term performance look like. Which side 404 00:18:31,920 --> 00:18:33,679 Speaker 2: is more energized matters a lot. 405 00:18:33,640 --> 00:18:35,439 Speaker 3: That is exactly, and that is the one that matters 406 00:18:35,560 --> 00:18:36,760 Speaker 3: the most in a midterm. 407 00:18:37,080 --> 00:18:38,040 Speaker 4: Yeah, and that's what I saw. 408 00:18:38,080 --> 00:18:40,440 Speaker 2: I mean, I ran for Congress in twenty ten as 409 00:18:40,440 --> 00:18:43,400 Speaker 2: a Democrat in the two party wave, and so, you know, 410 00:18:43,560 --> 00:18:48,720 Speaker 2: it was Democrats had control of everything. They were sort 411 00:18:48,720 --> 00:18:51,600 Speaker 2: of like demoralized or not that energized or you know, 412 00:18:51,800 --> 00:18:54,359 Speaker 2: not that excited to come out and vote, and Republicans 413 00:18:54,440 --> 00:18:57,320 Speaker 2: voted on mass and they were pissed and they wanted 414 00:18:57,359 --> 00:18:59,280 Speaker 2: to take back power. And you know, we're going to 415 00:18:59,280 --> 00:19:01,639 Speaker 2: show you the or any town halls. We're going to 416 00:19:01,680 --> 00:19:03,479 Speaker 2: show you a little bit of like the pushback at 417 00:19:03,480 --> 00:19:05,959 Speaker 2: some of the Republican town halls. There is a very 418 00:19:06,040 --> 00:19:10,199 Speaker 2: similar vibe that is starting to emerge to you know, 419 00:19:10,240 --> 00:19:14,040 Speaker 2: the twenty ten twenty tens. It's just the reverse in 420 00:19:14,119 --> 00:19:17,000 Speaker 2: terms of which political party is more energized this time around. 421 00:19:17,040 --> 00:19:20,560 Speaker 2: And I think, you know, naturally, when you have one 422 00:19:20,600 --> 00:19:24,560 Speaker 2: party that's in power, typically historically there is a backlash 423 00:19:24,640 --> 00:19:27,960 Speaker 2: and there is you know, a adjustment in the next 424 00:19:28,000 --> 00:19:30,760 Speaker 2: minterm where the party that's in power performs really poorly. 425 00:19:31,160 --> 00:19:33,359 Speaker 2: And then when you add on top of that, you know, 426 00:19:33,600 --> 00:19:38,800 Speaker 2: dose taking these incredibly aggressive, chaotic actions, the consolidation of 427 00:19:38,840 --> 00:19:41,040 Speaker 2: power in the hands of this one dude that people 428 00:19:41,080 --> 00:19:44,280 Speaker 2: are increasingly like, really not psyched about, and the ways 429 00:19:44,280 --> 00:19:47,040 Speaker 2: that it really does touch, you know, so many communities 430 00:19:47,119 --> 00:19:51,480 Speaker 2: across the country, because again, federal government workers are not 431 00:19:51,760 --> 00:19:53,840 Speaker 2: just here in d C. They are spread out in 432 00:19:53,880 --> 00:19:56,800 Speaker 2: communities across the country. The impact of federal government spending 433 00:19:56,840 --> 00:20:00,000 Speaker 2: is spread out in you know, places across the country. 434 00:20:00,040 --> 00:20:01,760 Speaker 2: Are a bunch of articles about and this is actually 435 00:20:01,760 --> 00:20:03,520 Speaker 2: really sad to me because I love our national parks 436 00:20:03,520 --> 00:20:05,760 Speaker 2: and I know you do too. Soger like the impact 437 00:20:05,800 --> 00:20:09,080 Speaker 2: there and how they've had to stop taking reservations and 438 00:20:09,280 --> 00:20:11,639 Speaker 2: you know, they're so short staff they can barely function 439 00:20:11,720 --> 00:20:16,440 Speaker 2: at this point. Those national parks are huge economic drivers 440 00:20:16,840 --> 00:20:20,399 Speaker 2: for the mostly rural and many of them Western communities 441 00:20:20,800 --> 00:20:24,120 Speaker 2: that you know that exists out there. So the impact 442 00:20:24,280 --> 00:20:27,760 Speaker 2: is a lot more diffuse and a lot more widespread 443 00:20:28,000 --> 00:20:30,600 Speaker 2: than I think people are taking into account. And in addition, 444 00:20:30,680 --> 00:20:33,000 Speaker 2: I was seeing one analysis that also suggests, you know, 445 00:20:33,040 --> 00:20:35,520 Speaker 2: for every federal government worker that you fire, you're also 446 00:20:35,560 --> 00:20:38,400 Speaker 2: talking about probably two or three contractors that are. 447 00:20:38,320 --> 00:20:39,119 Speaker 4: Impacted by that. 448 00:20:39,280 --> 00:20:41,480 Speaker 2: And again, you know, back to by small town that 449 00:20:41,520 --> 00:20:44,200 Speaker 2: I live in, I know that's like the whole economy 450 00:20:44,200 --> 00:20:48,280 Speaker 2: there is around this base. If that takes on, if 451 00:20:48,280 --> 00:20:51,439 Speaker 2: that is cut significantly, it would be devastating to the 452 00:20:51,600 --> 00:20:54,760 Speaker 2: whole entire town and community, et cetera. So I think 453 00:20:54,800 --> 00:21:00,000 Speaker 2: people are very upset and unhappy with the really callous, 454 00:21:00,119 --> 00:21:01,840 Speaker 2: chaotic way this is all unfolding. 455 00:21:01,960 --> 00:21:03,960 Speaker 3: Yeah, part of the problem is is that it doesn't 456 00:21:04,000 --> 00:21:06,760 Speaker 3: feel like there's some grand plan. And that's always the 457 00:21:06,840 --> 00:21:10,040 Speaker 3: issue is if I think about the tariffs we talked 458 00:21:10,080 --> 00:21:12,919 Speaker 3: about from twenty eighteen, one of the reason why I 459 00:21:12,960 --> 00:21:16,000 Speaker 3: think that Trump never got any real sustainable pushback is 460 00:21:16,040 --> 00:21:17,080 Speaker 3: it was directly connected. 461 00:21:17,080 --> 00:21:18,600 Speaker 1: We're like, look, we're doing this around China. 462 00:21:18,720 --> 00:21:21,879 Speaker 3: Yes, washing machines will be more expensive, soybean farmers, We're 463 00:21:21,920 --> 00:21:24,119 Speaker 3: going to cut you guys checks from these tariffs. This 464 00:21:24,160 --> 00:21:27,159 Speaker 3: is all about restoring the trade deficit. And people were like, Okay, 465 00:21:27,200 --> 00:21:29,960 Speaker 3: I understand that. The thing is with dose right now 466 00:21:30,040 --> 00:21:32,439 Speaker 3: is it doesn't feel It feels both slap shot and 467 00:21:32,480 --> 00:21:35,240 Speaker 3: it also doesn't necessarily feel as if it's working to 468 00:21:35,280 --> 00:21:39,520 Speaker 3: some broader end, and the more that that stuff permeates, 469 00:21:39,640 --> 00:21:41,800 Speaker 3: Like you said, I mean for me, you know, if 470 00:21:41,800 --> 00:21:44,800 Speaker 3: somebody messed with my Zion reservation, I would be very upset. 471 00:21:44,840 --> 00:21:46,800 Speaker 3: So I feel very much with a lot of those 472 00:21:46,840 --> 00:21:49,240 Speaker 3: people out there. It's already a shitty program the way 473 00:21:49,280 --> 00:21:52,720 Speaker 3: that the National Park Service reservations worked, and if you 474 00:21:52,800 --> 00:21:55,440 Speaker 3: had stuff like that planned for the future, it would 475 00:21:55,480 --> 00:21:58,560 Speaker 3: be infuriating. Because it is one of the cheapest vacations 476 00:21:58,560 --> 00:22:01,080 Speaker 3: and American can take to go to a National park. 477 00:22:01,119 --> 00:22:03,879 Speaker 3: It's literally what like seventy dollars or something for a 478 00:22:03,960 --> 00:22:07,360 Speaker 3: year long past, and you can have unlimited entertainment in them. 479 00:22:07,359 --> 00:22:12,840 Speaker 3: So absolutely, anybody out there go as quick as you 480 00:22:12,880 --> 00:22:17,080 Speaker 3: possibly can. This Spartan to be spring. Shannandoah's here nearby us. 481 00:22:17,080 --> 00:22:20,040 Speaker 3: It's an amazing park. I've never been to Smoky Mountains, 482 00:22:20,080 --> 00:22:24,200 Speaker 3: that's next on my list. Yeah, But Zion, Yosemite, Glacier, 483 00:22:24,320 --> 00:22:27,800 Speaker 3: any of these, they're just incredible, incredible places. Let's put 484 00:22:27,800 --> 00:22:29,679 Speaker 3: this one up there on the screen a eight, please, 485 00:22:29,720 --> 00:22:30,320 Speaker 3: because this is. 486 00:22:30,280 --> 00:22:31,840 Speaker 1: The probably the most noteworthy one. 487 00:22:31,840 --> 00:22:33,639 Speaker 3: If we want to go off of people who were accurate, 488 00:22:33,680 --> 00:22:36,919 Speaker 3: Trump's own polster certainly was accurate. And he says a 489 00:22:36,920 --> 00:22:40,959 Speaker 3: poll of swing voters is showing warning signs for Republicans 490 00:22:41,000 --> 00:22:44,399 Speaker 3: bent on helping billionaires. So it is interesting because if 491 00:22:44,440 --> 00:22:48,919 Speaker 3: you dig down into the memo from this polster, it 492 00:22:49,000 --> 00:22:52,840 Speaker 3: finds quote sizable majorities in competitive House districts are unhappy 493 00:22:52,880 --> 00:22:56,240 Speaker 3: about their economic predicament. It gently warns that Republicans that 494 00:22:56,240 --> 00:22:58,879 Speaker 3: some of Trump's priorities they would enact would prove unpopular, 495 00:22:59,119 --> 00:23:02,440 Speaker 3: though it does avoids saying this directly, the memo suggests 496 00:23:02,440 --> 00:23:05,359 Speaker 3: that some Republicans at least do think that public opinion matters, 497 00:23:05,400 --> 00:23:07,600 Speaker 3: and even that maybe, just maybe they do fear being 498 00:23:07,600 --> 00:23:10,880 Speaker 3: held accountable in the future election. Says fifty nine percent 499 00:23:10,880 --> 00:23:13,720 Speaker 3: of voters in eighteen swing districts are worried about their 500 00:23:13,760 --> 00:23:17,360 Speaker 3: personal financial situations. Republicans have to play catch up here. 501 00:23:17,520 --> 00:23:21,480 Speaker 3: Trump's approval the district is forty seven forty nine. So still, 502 00:23:21,520 --> 00:23:24,440 Speaker 3: I mean, it's competitive, definitely within the margin of error. 503 00:23:24,440 --> 00:23:26,719 Speaker 3: But you should pay attention to the Tony Fabrizio one 504 00:23:26,760 --> 00:23:29,399 Speaker 3: obviously is very accurate in the Trump pulls in the 505 00:23:29,440 --> 00:23:32,920 Speaker 3: Trump election. Trump obviously trusts him, and it may inform 506 00:23:33,040 --> 00:23:36,280 Speaker 3: some of the future decisions here around Elon and one 507 00:23:36,280 --> 00:23:38,600 Speaker 3: thing we know about Trump is that Trump is the 508 00:23:38,680 --> 00:23:41,960 Speaker 3: ultimate transactional figure. Now I don't think that at this 509 00:23:42,200 --> 00:23:45,760 Speaker 3: point he cannot sideline Elon because Elon has become a 510 00:23:45,840 --> 00:23:48,600 Speaker 3: cause celab for the left right, like in terms of 511 00:23:48,960 --> 00:23:52,680 Speaker 3: the number one vector and Trump more than anything from 512 00:23:52,680 --> 00:23:55,600 Speaker 3: what I understand that people around him, his biggest regret 513 00:23:56,160 --> 00:24:00,600 Speaker 3: of his entire presidency is ever caving to liberals so Arlottesville, 514 00:24:00,760 --> 00:24:05,879 Speaker 3: apologizing and firing Mike Flynn, like his main takeaway from 515 00:24:05,920 --> 00:24:08,560 Speaker 3: the first term is that he should just not listen 516 00:24:08,880 --> 00:24:12,000 Speaker 3: at all. So anybody predicting some like grand firing and 517 00:24:12,040 --> 00:24:13,000 Speaker 3: all that, I. 518 00:24:13,000 --> 00:24:13,639 Speaker 1: Don't see it. 519 00:24:13,760 --> 00:24:16,760 Speaker 3: I do think that this sign of this email and 520 00:24:17,160 --> 00:24:19,520 Speaker 3: saying hey, don't reply and all that, that could be 521 00:24:19,880 --> 00:24:22,920 Speaker 3: the slow phase out. You also don't forget those Technically 522 00:24:23,080 --> 00:24:26,480 Speaker 3: is only supposed to exist until July fourth of twenty 523 00:24:26,520 --> 00:24:29,760 Speaker 3: twenty six, so it could be like an initial sidelining 524 00:24:29,800 --> 00:24:32,800 Speaker 3: and then like a nice disbandment where they don't acknowledge 525 00:24:32,840 --> 00:24:35,960 Speaker 3: it one hundred percent, but don't forget. July twenty twenty 526 00:24:36,000 --> 00:24:39,200 Speaker 3: six is right around when you would have the midterm elections, 527 00:24:39,240 --> 00:24:42,360 Speaker 3: so it's like, right the summer season is exactly when 528 00:24:42,359 --> 00:24:45,119 Speaker 3: people start to pay attention, so I could see, you know, 529 00:24:45,359 --> 00:24:48,280 Speaker 3: some stuff like that in the future, or just a 530 00:24:48,359 --> 00:24:51,240 Speaker 3: general ongoing move of being like, all right, you own, 531 00:24:51,280 --> 00:24:54,040 Speaker 3: you can tweet, you know, whatever bullshit statistics that you 532 00:24:54,080 --> 00:24:57,639 Speaker 3: want about however much money supposedly saved the government, but 533 00:24:57,880 --> 00:24:59,600 Speaker 3: these emails and all this other stuff like. 534 00:24:59,560 --> 00:25:00,679 Speaker 1: That to stop. 535 00:25:00,840 --> 00:25:01,960 Speaker 4: We'll see, We'll see. 536 00:25:02,000 --> 00:25:03,920 Speaker 2: I don't mean there's no real sign of that at 537 00:25:03,920 --> 00:25:06,160 Speaker 2: this point, but maybe if the poll numbers get more, 538 00:25:06,200 --> 00:25:08,040 Speaker 2: die or he'll decide like, all right, I'm kind of 539 00:25:08,400 --> 00:25:10,760 Speaker 2: done with this guy, you know. Part of the problem, 540 00:25:10,840 --> 00:25:14,520 Speaker 2: also outlined in this memo from Trump's own polster, is 541 00:25:14,800 --> 00:25:18,600 Speaker 2: warning signs about the way that they craft this tax 542 00:25:18,640 --> 00:25:23,120 Speaker 2: bill coming up as well, because they ask people, you know, 543 00:25:23,200 --> 00:25:25,800 Speaker 2: what the top priority of tax policy should be, and 544 00:25:25,880 --> 00:25:29,000 Speaker 2: unsurprisingly a vast majority sixty three percent so that the 545 00:25:29,000 --> 00:25:32,760 Speaker 2: top priority should be helping working class families. Only one 546 00:25:32,800 --> 00:25:36,560 Speaker 2: percent said it should be helping corporations and the wealthiest Americans. 547 00:25:36,840 --> 00:25:40,080 Speaker 2: And yet we already know that in terms of the 548 00:25:40,119 --> 00:25:43,159 Speaker 2: tax package that they're putting together, whether or not no 549 00:25:43,320 --> 00:25:45,880 Speaker 2: tax on tips or some other of the more populist 550 00:25:45,880 --> 00:25:48,040 Speaker 2: proposals that Trump put out there whether or not any 551 00:25:48,080 --> 00:25:50,480 Speaker 2: of them make it into that package still really an 552 00:25:50,520 --> 00:25:51,199 Speaker 2: open question. 553 00:25:51,560 --> 00:25:52,560 Speaker 4: But even if they. 554 00:25:52,440 --> 00:25:55,840 Speaker 2: Do, the vast bulk of that four point five trillion 555 00:25:55,880 --> 00:25:58,560 Speaker 2: dollar tax cut is going to go to the wealthiest 556 00:25:58,600 --> 00:26:02,440 Speaker 2: incorporations through the extension of the Tax Cuts and Jobs Act. 557 00:26:02,680 --> 00:26:04,919 Speaker 2: So you've got that, and then you also have the 558 00:26:04,960 --> 00:26:08,400 Speaker 2: fact that Americans are still saying, hey, my biggest priority 559 00:26:08,480 --> 00:26:11,920 Speaker 2: is still inflation. It's still cost of living, and there 560 00:26:12,119 --> 00:26:15,000 Speaker 2: is zero focus on that from the Trump administration. We've 561 00:26:15,040 --> 00:26:17,320 Speaker 2: already seen inflation tickup. Now he's saying, oh, that's the 562 00:26:17,320 --> 00:26:17,760 Speaker 2: fault of. 563 00:26:17,680 --> 00:26:18,320 Speaker 4: The last guy. 564 00:26:18,600 --> 00:26:21,879 Speaker 2: Maybe people will give him some grace for now because 565 00:26:21,920 --> 00:26:25,040 Speaker 2: he is still so no into office. But if those 566 00:26:25,080 --> 00:26:28,439 Speaker 2: trends continue, which they very possibly could, especially with the 567 00:26:28,640 --> 00:26:31,439 Speaker 2: you know, the tariff threats certainly feed into that, et cetera, 568 00:26:31,880 --> 00:26:35,959 Speaker 2: then he could really be in quite in having quite 569 00:26:36,000 --> 00:26:37,680 Speaker 2: a lot of problems politically. 570 00:26:38,040 --> 00:26:40,280 Speaker 4: There already are a lot of polls showing. 571 00:26:40,000 --> 00:26:42,800 Speaker 2: That one of his greatest strengths as a politician has 572 00:26:42,840 --> 00:26:45,000 Speaker 2: always been the way people trust him on the economy 573 00:26:45,200 --> 00:26:47,399 Speaker 2: because they just think, oh, this guy's a businessman, like 574 00:26:47,480 --> 00:26:49,560 Speaker 2: he must know what he's doing, et cetera. He is 575 00:26:49,600 --> 00:26:53,399 Speaker 2: deeply underwater on the economy already, and so saga. I 576 00:26:53,440 --> 00:26:55,520 Speaker 2: think that's the other problem with doge is it is 577 00:26:55,560 --> 00:26:58,600 Speaker 2: the sense of like I didn't ask for, like Gulf 578 00:26:58,640 --> 00:27:01,760 Speaker 2: of America renaming. I didn't ask for this, like just 579 00:27:01,880 --> 00:27:05,200 Speaker 2: go and randomly fire a bunch of federal government workers. 580 00:27:05,359 --> 00:27:09,600 Speaker 2: And you know, I didn't vote for this random guy, 581 00:27:09,960 --> 00:27:12,720 Speaker 2: richest man on the planet, like consolidating power and doing 582 00:27:12,800 --> 00:27:16,400 Speaker 2: all of this just blatant self dealing. And why aren't 583 00:27:16,400 --> 00:27:19,879 Speaker 2: you focused on the priorities that actually impact me and 584 00:27:19,880 --> 00:27:21,720 Speaker 2: that I'm focused on in my day to day life. 585 00:27:21,720 --> 00:27:23,040 Speaker 4: I think that's a real risk for Heemisop. 586 00:27:23,160 --> 00:27:27,320 Speaker 3: Well, not surprised me, but I'm still just vote so burned, 587 00:27:27,480 --> 00:27:29,679 Speaker 3: I think by a lot. It just seems a little 588 00:27:29,680 --> 00:27:32,360 Speaker 3: too cute for that to happen, as in like check 589 00:27:32,440 --> 00:27:35,920 Speaker 3: the box of every liberal slash mainstream critique and I've 590 00:27:36,040 --> 00:27:38,280 Speaker 3: just because of the way that twenty twenty four meant, 591 00:27:38,359 --> 00:27:41,400 Speaker 3: I'm like, maybe we'll see just in terms of what 592 00:27:41,440 --> 00:27:44,879 Speaker 3: it means for how people internalize all of this. Remember 593 00:27:44,880 --> 00:27:46,880 Speaker 3: my warning, the more tapped in you are, the more 594 00:27:46,960 --> 00:27:49,120 Speaker 3: likely to work to vote for Kamala. So how many 595 00:27:49,119 --> 00:27:52,280 Speaker 3: people out there are even aware of those Golf of America, 596 00:27:52,400 --> 00:27:54,040 Speaker 3: or even if they are aware of Golf of America, 597 00:27:54,280 --> 00:27:56,840 Speaker 3: people are pretty aware of it. I think it's funny. 598 00:27:56,920 --> 00:27:58,919 Speaker 3: But that's what I'm saying, is that you can be 599 00:27:59,000 --> 00:28:01,160 Speaker 3: aware and like it. And I think that's the one 600 00:28:01,200 --> 00:28:03,920 Speaker 3: caution I would always give people is remember the way 601 00:28:03,960 --> 00:28:06,600 Speaker 3: that the media or the liberals will frame something is 602 00:28:06,680 --> 00:28:10,520 Speaker 3: not necessarily how it lands. Remember Phereto recogate the childless 603 00:28:10,520 --> 00:28:13,399 Speaker 3: cat lady, stuff like brat Summer, all this stuff. It 604 00:28:13,440 --> 00:28:16,720 Speaker 3: was a complete opposite of how it all eventually turned out. 605 00:28:16,760 --> 00:28:18,960 Speaker 1: I just really think that's important for people to take away. 606 00:28:19,160 --> 00:28:21,960 Speaker 2: Well, you know, if we had paid attention to just 607 00:28:22,119 --> 00:28:26,680 Speaker 2: the material concerns of Americans, we would have been much 608 00:28:26,720 --> 00:28:28,840 Speaker 2: more you know, more people would have had a much 609 00:28:28,840 --> 00:28:31,639 Speaker 2: more accurate view of how this election was ultimately going 610 00:28:31,720 --> 00:28:34,800 Speaker 2: to go. Because people were consistently like, my biggest problem 611 00:28:34,920 --> 00:28:37,320 Speaker 2: is inflation, and I'm not happy with the economy, and 612 00:28:37,359 --> 00:28:39,240 Speaker 2: I'm certainly not happy with the way the Democrats have 613 00:28:39,280 --> 00:28:42,160 Speaker 2: handled the economy. And so when you have all of them, 614 00:28:42,160 --> 00:28:44,520 Speaker 2: We're going to do an economic segment later on. A 615 00:28:44,520 --> 00:28:48,480 Speaker 2: lot of warning signs, consumer sentimental, you know, turning really negative, 616 00:28:48,480 --> 00:28:52,640 Speaker 2: inflation ticking up, concerns about inflation ticking up. Trump increasingly 617 00:28:52,720 --> 00:28:55,800 Speaker 2: underwater on the economy. Like I think those are very 618 00:28:55,840 --> 00:28:58,480 Speaker 2: important warning signs for him. And when you couple that 619 00:28:58,680 --> 00:29:01,920 Speaker 2: with this agenda that seems really clearly cropped, like all 620 00:29:01,960 --> 00:29:05,400 Speaker 2: the populist you know, positioning from the campaign is gone, 621 00:29:05,480 --> 00:29:07,360 Speaker 2: and now you've just handed the keys over the richest 622 00:29:07,360 --> 00:29:09,960 Speaker 2: man on the planet who's out there looking out for 623 00:29:10,040 --> 00:29:12,960 Speaker 2: himself and his interest and you're about to couple that 624 00:29:13,000 --> 00:29:15,600 Speaker 2: with a gigantic tax cut for the rich. I think 625 00:29:15,640 --> 00:29:18,360 Speaker 2: that is very politically perilous, to say the least. 626 00:29:18,480 --> 00:29:20,480 Speaker 3: Yeah, the tax cut, I think is again I actually 627 00:29:20,520 --> 00:29:23,240 Speaker 3: think that might be the most perilous one for Trump 628 00:29:23,280 --> 00:29:25,120 Speaker 3: because there's no getting around it. 629 00:29:26,120 --> 00:29:28,320 Speaker 1: If anything, he was lucky. 630 00:29:28,040 --> 00:29:30,640 Speaker 3: That he passed it so early last time around what 631 00:29:30,720 --> 00:29:33,479 Speaker 3: was in April I think of twenty seventeen, remember if 632 00:29:33,520 --> 00:29:35,920 Speaker 3: I recall the TCJ, or maybe it was jud it was. 633 00:29:35,840 --> 00:29:36,360 Speaker 1: Something like that. 634 00:29:36,440 --> 00:29:39,720 Speaker 3: Yeah, that was the first like major accomplishment. It was obviously, 635 00:29:39,840 --> 00:29:42,720 Speaker 3: as I always say, the lowest approval rating for Donald Trump. 636 00:29:42,800 --> 00:29:45,800 Speaker 3: And by that point, though three four years later, people 637 00:29:45,800 --> 00:29:48,720 Speaker 3: had mostly forgotten about it. So that's one of those 638 00:29:48,760 --> 00:29:52,080 Speaker 3: where it could be politically perilous. I definitely think it 639 00:29:52,120 --> 00:29:54,840 Speaker 3: will be for the midterm elections. In the long term, 640 00:29:54,920 --> 00:29:57,720 Speaker 3: I have no idea been thinking about the Clinton administration 641 00:29:57,760 --> 00:30:00,840 Speaker 3: A lot, which similarly had a very rocky nineteen ninety three, 642 00:30:00,960 --> 00:30:03,400 Speaker 3: got blown out in nineteen ninety four, but by ninety 643 00:30:03,400 --> 00:30:05,960 Speaker 3: six is still able to pull it out and somehow win. 644 00:30:06,080 --> 00:30:08,120 Speaker 3: So it's not always a you know, a predictor of 645 00:30:08,160 --> 00:30:09,160 Speaker 3: how things will go. 646 00:30:09,240 --> 00:30:10,880 Speaker 4: Obama is another example of that part. 647 00:30:11,040 --> 00:30:14,160 Speaker 2: You know, tea party wave happens and then Republicans think, oh, 648 00:30:14,160 --> 00:30:17,080 Speaker 2: we're a lock to win, and then you know, he 649 00:30:17,280 --> 00:30:21,880 Speaker 2: wins in actually quite a significant landslide. On the other hand, 650 00:30:22,000 --> 00:30:23,840 Speaker 2: I mean this also raises the question, like Trump is 651 00:30:23,880 --> 00:30:25,640 Speaker 2: out there, I'm going to run for another shouldn't I 652 00:30:25,680 --> 00:30:28,479 Speaker 2: run for another term? And there's a whole Bannon and 653 00:30:28,480 --> 00:30:30,600 Speaker 2: lots of other people that are trying to push for 654 00:30:30,640 --> 00:30:34,120 Speaker 2: a Trump term number three, which obviously is unconstitutional. I 655 00:30:34,160 --> 00:30:36,400 Speaker 2: don't at this point see how they could actually make 656 00:30:36,440 --> 00:30:39,360 Speaker 2: that happen. But you know, the other thing is that 657 00:30:39,480 --> 00:30:42,600 Speaker 2: it is unlikely to be Trump who's running again. So 658 00:30:42,640 --> 00:30:46,880 Speaker 2: in those situations you have incumbent presidents who were both 659 00:30:47,080 --> 00:30:50,800 Speaker 2: extremely politically talented, like you know how we feel about 660 00:30:50,840 --> 00:30:53,800 Speaker 2: them ideologically, Bill Clinton and Barack Obama were both generally 661 00:30:54,080 --> 00:30:58,400 Speaker 2: generation generational political talents. Trump is in his own way 662 00:30:58,640 --> 00:31:02,280 Speaker 2: as well, so you are unlikely to have him on 663 00:31:02,360 --> 00:31:05,200 Speaker 2: the ballot again, which I do think sort of complicates 664 00:31:05,200 --> 00:31:09,160 Speaker 2: the picture because nobody has been able to really consolidate 665 00:31:09,560 --> 00:31:13,800 Speaker 2: and put together the amount of enthusiasm and this particular 666 00:31:13,880 --> 00:31:15,880 Speaker 2: coalition that Donald Trump has been the face for. 667 00:31:16,000 --> 00:31:18,000 Speaker 1: It is the eighty eight election. The eighty eight election 668 00:31:18,120 --> 00:31:18,960 Speaker 1: was very interesting. 669 00:31:19,520 --> 00:31:22,120 Speaker 3: HW was a very weak candidate, of course, like the 670 00:31:22,160 --> 00:31:24,920 Speaker 3: blue blood and you know with the grocery store stuff 671 00:31:24,920 --> 00:31:28,120 Speaker 3: that all happened eventually and sunk him in ninety two, 672 00:31:28,280 --> 00:31:31,600 Speaker 3: but really it was like Reagan hangover. People trusted him 673 00:31:31,720 --> 00:31:35,120 Speaker 3: the twelve years of government supply side economics and all 674 00:31:35,200 --> 00:31:37,920 Speaker 3: that narratively was there, and then Ducaccus was just horrible. 675 00:31:37,960 --> 00:31:40,080 Speaker 3: So it's one of those where you could see if 676 00:31:40,080 --> 00:31:44,200 Speaker 3: the Democrats choose a Ducaccas style figure, all that you 677 00:31:44,360 --> 00:31:46,320 Speaker 3: really all HW had to do was not just run 678 00:31:46,320 --> 00:31:50,040 Speaker 3: on the Reagan legacy, but really against like institutional leftism 679 00:31:50,360 --> 00:31:52,800 Speaker 3: as it kind of existed at that time. So I've 680 00:31:52,800 --> 00:31:55,040 Speaker 3: been thinking about that as well, but obviously that's a 681 00:31:55,080 --> 00:31:59,680 Speaker 3: long long way away. Let's put some of the polling 682 00:31:59,760 --> 00:32:02,080 Speaker 3: up here, just to see what we have so far. 683 00:32:02,200 --> 00:32:05,440 Speaker 3: This from the Washington This is from IPSO some new 684 00:32:05,440 --> 00:32:08,240 Speaker 3: polling that just came in approval of mus shutting down 685 00:32:08,280 --> 00:32:12,440 Speaker 3: federal programs he decides are unnecessary. Disapprove is fifty two 686 00:32:12,480 --> 00:32:15,840 Speaker 3: percent approved twenty six net minus twenty six. Let's go 687 00:32:15,840 --> 00:32:17,920 Speaker 3: to the next one, please, just to continue to show 688 00:32:17,920 --> 00:32:21,320 Speaker 3: people approval of Elon Musk's job in government. Disapproves at 689 00:32:21,360 --> 00:32:24,480 Speaker 3: forty nine. Approve is at thirty four net minus fifteen. 690 00:32:24,720 --> 00:32:27,520 Speaker 3: Next one as well, just to continue, would you rather 691 00:32:27,560 --> 00:32:30,360 Speaker 3: see the next control Congress by Democrats or Republicans? Has 692 00:32:30,400 --> 00:32:33,719 Speaker 3: Democrats there with fifty four Again, remember it's only been 693 00:32:33,760 --> 00:32:36,040 Speaker 3: a month, I think a month and four days and 694 00:32:36,080 --> 00:32:39,040 Speaker 3: all of that. Things definitely there, And keep in mind 695 00:32:39,080 --> 00:32:43,200 Speaker 3: all the caveats I gave about oversampling and all of that. 696 00:32:43,320 --> 00:32:45,480 Speaker 3: But I will just say initially, it would not be 697 00:32:45,640 --> 00:32:49,240 Speaker 3: a surprise. In fact, it would be historically a trend. 698 00:32:49,400 --> 00:32:52,440 Speaker 3: It would be very in line with historical trends for 699 00:32:52,800 --> 00:32:54,520 Speaker 3: the Republicans to have a blowout in the mid terms. 700 00:32:54,560 --> 00:32:56,280 Speaker 1: They already don't have control of Congress. 701 00:32:56,440 --> 00:32:59,320 Speaker 3: Their number one achievement, the only legislative achievement I can 702 00:32:59,360 --> 00:33:01,840 Speaker 3: track right now with any regularity, is. 703 00:33:01,800 --> 00:33:03,920 Speaker 1: This tax bill, which is not going to be popular. 704 00:33:04,240 --> 00:33:05,800 Speaker 1: It will be popular for a lot of rich people, 705 00:33:05,800 --> 00:33:08,719 Speaker 1: but that's it. So you're going to have that. 706 00:33:08,760 --> 00:33:12,040 Speaker 3: You could have potentially higher inflation and an economic crisis 707 00:33:12,600 --> 00:33:16,240 Speaker 3: or some sort of international situation. None of that could happen, 708 00:33:16,320 --> 00:33:18,600 Speaker 3: and you would still fit within a historical trend of 709 00:33:18,640 --> 00:33:22,560 Speaker 3: the Democratic thermostatic public opinion that turnout being high. This 710 00:33:22,600 --> 00:33:24,640 Speaker 3: is an interesting theory I've been looking at is that 711 00:33:25,240 --> 00:33:29,360 Speaker 3: united control of Congress, of Congress and the presidency often 712 00:33:29,480 --> 00:33:32,080 Speaker 3: leads to some of the bigger midterm blowouts. So if 713 00:33:32,080 --> 00:33:34,480 Speaker 3: you think about Obama a similar thing. I was just 714 00:33:34,480 --> 00:33:36,880 Speaker 3: looking at the margins. Those were margins were insane. Fifty 715 00:33:36,880 --> 00:33:39,120 Speaker 3: seven seats in the sent is crazy for the Democrats. 716 00:33:39,120 --> 00:33:42,280 Speaker 3: But the fact is that their ability to pass the 717 00:33:42,360 --> 00:33:45,080 Speaker 3: two thousand and nine the healthcare reform, obviously, that's what 718 00:33:45,120 --> 00:33:47,000 Speaker 3: ignited the Tea Party wave and that's what led to 719 00:33:47,080 --> 00:33:50,360 Speaker 3: the huge blowout in twenty ten. For that, if you 720 00:33:50,480 --> 00:33:52,800 Speaker 3: look back to the Democrats, a little bit different, you know, 721 00:33:52,840 --> 00:33:55,640 Speaker 3: with Clinton in terms of the control, but the similar 722 00:33:56,320 --> 00:33:59,440 Speaker 3: the ninety three push for that initial healthcare reform that 723 00:33:59,520 --> 00:34:01,760 Speaker 3: led to the Chip Act or whatever it was called. 724 00:34:01,880 --> 00:34:05,000 Speaker 3: Under Hillary Clinton experienced a significant amount of blowback with 725 00:34:05,080 --> 00:34:07,880 Speaker 3: the Contract for America. So you could easily see something 726 00:34:07,920 --> 00:34:10,400 Speaker 3: like that happen with Donald Trump. Is that very often 727 00:34:10,560 --> 00:34:14,160 Speaker 3: United control of government leads to a midterm kind of blowout, 728 00:34:14,200 --> 00:34:15,520 Speaker 3: which it wouldn't surprise me. 729 00:34:15,719 --> 00:34:19,200 Speaker 2: And I think they are really flirting with like historic 730 00:34:19,719 --> 00:34:25,080 Speaker 2: just like disaster and political disaster, because as we've discussed before, 731 00:34:25,840 --> 00:34:28,400 Speaker 2: by putting their hands in all of these agencies, you know, 732 00:34:28,440 --> 00:34:31,799 Speaker 2: even air traffic controllers got the elon justify yourself your 733 00:34:31,800 --> 00:34:35,600 Speaker 2: existence to me in five bullet points like across the board, 734 00:34:36,200 --> 00:34:39,840 Speaker 2: so you have, you know, one, you're one major disaster 735 00:34:40,000 --> 00:34:44,839 Speaker 2: away from people completely turning on this administration. Not to mention, 736 00:34:44,960 --> 00:34:47,719 Speaker 2: as we're about to discuss later in the show, a 737 00:34:47,760 --> 00:34:52,760 Speaker 2: lot of very concerning economic indicators, So you know, there's 738 00:34:52,960 --> 00:34:58,279 Speaker 2: a possibility out there of real political collapse outside of 739 00:34:58,320 --> 00:35:00,799 Speaker 2: even what like the Tea Party waves was, or what 740 00:35:00,840 --> 00:35:04,239 Speaker 2: the backlash in the Clinton administration was, et cetera. So 741 00:35:04,880 --> 00:35:07,080 Speaker 2: I do think that they are playing with fire right now. 742 00:35:07,120 --> 00:35:09,120 Speaker 2: And just to wrap up this block, go back to 743 00:35:09,200 --> 00:35:12,640 Speaker 2: A nine, which shows some of the numbers for Trump 744 00:35:12,640 --> 00:35:15,960 Speaker 2: in particular, because in the very early days of the administration, 745 00:35:16,160 --> 00:35:18,719 Speaker 2: Elon seemed to be taking on water, but Trump was 746 00:35:18,800 --> 00:35:20,960 Speaker 2: kind of hanging in there. You know, his approval rating 747 00:35:21,040 --> 00:35:23,040 Speaker 2: was staying war less fifty to fifty, which for him 748 00:35:23,160 --> 00:35:27,160 Speaker 2: is phenomenal. Greg Sargeant here as kind of a compilation 749 00:35:27,440 --> 00:35:30,800 Speaker 2: of some of the recent polling that has warning signs, 750 00:35:30,840 --> 00:35:34,279 Speaker 2: not just about Elon but about Trump himself. Only thirty 751 00:35:34,320 --> 00:35:37,440 Speaker 2: four percent of approve of Musk's role, sixty three percent 752 00:35:37,560 --> 00:35:41,680 Speaker 2: worry about his data access. According to CNN, fifty four 753 00:35:41,719 --> 00:35:43,880 Speaker 2: percent say it is bad that he was given a 754 00:35:43,880 --> 00:35:47,400 Speaker 2: big role. And now you have majorities disapproving of Trump 755 00:35:47,480 --> 00:35:51,600 Speaker 2: in CNN, Washington Post, and Gallop and also Trump's own polster, 756 00:35:51,680 --> 00:35:55,840 Speaker 2: as we showed you before, has him underwater in swing districts. 757 00:35:56,120 --> 00:35:59,799 Speaker 2: So Trump's approval pretty consistent trend in all of these 758 00:36:00,520 --> 00:36:03,520 Speaker 2: seems to be trending downward as he now takes on 759 00:36:03,920 --> 00:36:07,759 Speaker 2: water because of the unpopularity of Musk and Doge and 760 00:36:07,800 --> 00:36:09,080 Speaker 2: the actions that they're very possible. 761 00:36:09,160 --> 00:36:11,040 Speaker 3: Like you said, also keep in mind, though, is that 762 00:36:11,120 --> 00:36:13,360 Speaker 3: I came pretty damn close in the twenty twenty election, 763 00:36:13,600 --> 00:36:15,759 Speaker 3: even with what what did you have, like a thirty 764 00:36:15,800 --> 00:36:18,000 Speaker 3: percent approval rating, So you never know, there are a 765 00:36:18,000 --> 00:36:19,440 Speaker 3: lot of people out there who vote for Trump who 766 00:36:19,440 --> 00:36:20,000 Speaker 3: don't like him. 767 00:36:20,400 --> 00:36:22,799 Speaker 2: I will say one again, he's not supposed to be 768 00:36:22,840 --> 00:36:24,080 Speaker 2: on the ballot again, so. 769 00:36:24,080 --> 00:36:28,360 Speaker 3: Oh true, Hey, listen, we'll debate this another time. I'm 770 00:36:28,480 --> 00:36:30,319 Speaker 3: very for getting rid of the twin I don't like 771 00:36:30,360 --> 00:36:32,319 Speaker 3: the Bannon way because they're trying to craft it so 772 00:36:32,360 --> 00:36:33,760 Speaker 3: that it's only Donald Trump. 773 00:36:34,040 --> 00:36:36,360 Speaker 1: I think I think the entire two term elament. 774 00:36:36,200 --> 00:36:38,879 Speaker 3: Should be completely gotten rid of, and if Obama wants 775 00:36:38,880 --> 00:36:41,360 Speaker 3: to run again, let him. I hate Obama, as everybody 776 00:36:41,360 --> 00:36:43,040 Speaker 3: watches a show know. I think he should have been 777 00:36:43,080 --> 00:36:44,640 Speaker 3: able to run again. I think Clinton should have been 778 00:36:44,640 --> 00:36:47,120 Speaker 3: able to run again. Arguably would have been way better 779 00:36:47,120 --> 00:36:49,480 Speaker 3: off if Clinton had won the two thousand election, you know, 780 00:36:49,600 --> 00:36:51,759 Speaker 3: in terms of how he would have handled all that. 781 00:36:51,840 --> 00:36:54,440 Speaker 3: So that twenty second amendment really did actually cost us 782 00:36:54,920 --> 00:36:58,560 Speaker 3: some bad. What it did is it created the current 783 00:36:58,640 --> 00:37:01,520 Speaker 3: dynamic of the swings back and forth and led to 784 00:37:02,080 --> 00:37:06,240 Speaker 3: the inability for an FDR style king and or President. 785 00:37:06,280 --> 00:37:10,880 Speaker 3: I know we've had this debate before to basically enshrine 786 00:37:11,000 --> 00:37:13,800 Speaker 3: twenty years of rule, which if that's what America wants, 787 00:37:13,800 --> 00:37:16,720 Speaker 3: then I think that's what America should be able to have. Actually, 788 00:37:16,840 --> 00:37:18,160 Speaker 3: in tradition, be damned at. 789 00:37:18,120 --> 00:37:21,680 Speaker 2: This point, completely unprincipled view of this, which is in general, 790 00:37:21,760 --> 00:37:23,879 Speaker 2: I agree with that, and I do not want Donald Trump. 791 00:37:24,000 --> 00:37:26,239 Speaker 4: I want to run again, so but I'll let the 792 00:37:26,320 --> 00:37:27,080 Speaker 4: people decide. 793 00:37:27,200 --> 00:37:30,560 Speaker 2: Also, like you said, they're trying, Okay, so it is 794 00:37:31,560 --> 00:37:33,000 Speaker 2: they are not going to be able to pass a 795 00:37:33,040 --> 00:37:35,719 Speaker 2: constitutional amendment. That is not going to happen. So let's 796 00:37:35,760 --> 00:37:37,520 Speaker 2: just put that out there. So I don't know what 797 00:37:37,560 --> 00:37:40,279 Speaker 2: other pathways they would pursue, perhaps just making some like 798 00:37:40,360 --> 00:37:43,040 Speaker 2: Kakamami theory that they push up to the Supreme Court 799 00:37:43,080 --> 00:37:45,279 Speaker 2: and hope that those people are just so enthralled with 800 00:37:45,280 --> 00:37:48,000 Speaker 2: Trump at this point that they give him whatever he wants. 801 00:37:48,280 --> 00:37:50,640 Speaker 2: But yeah, what they want it to be is that 802 00:37:50,680 --> 00:37:54,440 Speaker 2: you can't serve to more than two consecutive terms, and 803 00:37:54,520 --> 00:37:57,400 Speaker 2: so that would rule out Obama but would rule in Trump. 804 00:37:57,480 --> 00:38:00,120 Speaker 2: That's what they're going for, which is totally unprit. 805 00:38:00,360 --> 00:38:02,040 Speaker 3: Even I wouldn't hate it. I wouldn't hate it just 806 00:38:02,080 --> 00:38:05,240 Speaker 3: to set the precedent for the future. Maybe we'll getting 807 00:38:05,320 --> 00:38:07,720 Speaker 3: really old too, by the way, like yeah. 808 00:38:07,920 --> 00:38:08,520 Speaker 1: Run against him. 809 00:38:08,560 --> 00:38:12,240 Speaker 3: Then tell the American people they care about age obviously, 810 00:38:12,280 --> 00:38:13,720 Speaker 3: whether that's what they said about Biden. 811 00:38:13,840 --> 00:38:14,400 Speaker 1: So there we go. 812 00:38:17,360 --> 00:38:20,840 Speaker 2: Trump making some significant moves over at the Pentagon, in 813 00:38:20,880 --> 00:38:25,040 Speaker 2: particular removing the previous Chair of the Joint Chiefs of Staff. 814 00:38:25,120 --> 00:38:27,480 Speaker 2: Let's go and put his announcement up on the screen. 815 00:38:28,120 --> 00:38:30,040 Speaker 2: This was on true Social He says, I want to 816 00:38:30,080 --> 00:38:32,839 Speaker 2: thank General Charles C. Q. Brown for his over forty 817 00:38:32,880 --> 00:38:34,759 Speaker 2: years of service to our country, including as our current 818 00:38:34,840 --> 00:38:36,719 Speaker 2: Chair of the Joint Chiefs of Staff. He has a 819 00:38:36,760 --> 00:38:39,080 Speaker 2: fine gentleman and ann outstanding leader, and I wish a 820 00:38:39,080 --> 00:38:41,560 Speaker 2: great future for him and his family. Today, I'm honored 821 00:38:41,560 --> 00:38:44,480 Speaker 2: to announce that I am nominating Air Force Lieutenant General 822 00:38:44,880 --> 00:38:48,000 Speaker 2: Dan Raisin Kine to be the next Chair of the 823 00:38:48,080 --> 00:38:50,760 Speaker 2: Joint Chiefs of Staff. General Kine is an accomplished pilot, 824 00:38:50,960 --> 00:38:54,920 Speaker 2: national security expert, successful entrepreneur, and a warfighter in quotes 825 00:38:54,960 --> 00:38:59,480 Speaker 2: for some reason, with significant interagency and special operations experience. 826 00:38:59,520 --> 00:39:01,400 Speaker 2: So we'll tell you a little bit more about the 827 00:39:01,760 --> 00:39:06,080 Speaker 2: individual who is General Brown's replacement. But this was one 828 00:39:06,200 --> 00:39:08,080 Speaker 2: of a number of moves that were made at the 829 00:39:08,120 --> 00:39:10,719 Speaker 2: Pentagon and what some are describing as a purge. So 830 00:39:10,760 --> 00:39:12,520 Speaker 2: in addition to the Chair of the Joint Chiefs of 831 00:39:12,560 --> 00:39:16,720 Speaker 2: Staff being removed, the Chief of Naval Operations, Admiral Lisa 832 00:39:16,719 --> 00:39:20,520 Speaker 2: Franchetti also removed. The Air Force Vice chief of Staff, 833 00:39:20,560 --> 00:39:24,319 Speaker 2: General James Slife also removed. And then in addition to this, 834 00:39:24,600 --> 00:39:27,480 Speaker 2: in what was I think maybe the most eyebrow raising 835 00:39:27,520 --> 00:39:31,600 Speaker 2: part of this whole maneuver, the three top lawyers for 836 00:39:31,719 --> 00:39:34,760 Speaker 2: the Army, Navy, and Air Force, So the top JAG 837 00:39:35,000 --> 00:39:39,760 Speaker 2: lawyers for those three service branches were all fired as well. 838 00:39:40,800 --> 00:39:42,719 Speaker 4: Obviously, you know this raises. 839 00:39:42,520 --> 00:39:44,040 Speaker 2: Questions, why do you want to get rid of the 840 00:39:44,040 --> 00:39:47,840 Speaker 2: top lawyers in these various for these various branches. 841 00:39:47,440 --> 00:39:48,120 Speaker 4: Of the military. 842 00:39:48,440 --> 00:39:51,080 Speaker 2: And Pete Hegsath, who of course is nown Secretary of Defense, 843 00:39:51,280 --> 00:39:53,560 Speaker 2: was pressed on exactly that point on one of the 844 00:39:53,560 --> 00:39:55,719 Speaker 2: Sunday shows. Let's take a listen to that for. 845 00:39:55,680 --> 00:39:57,600 Speaker 7: People to may not know, I mean, they give advice 846 00:39:57,640 --> 00:39:59,680 Speaker 7: to the military about what is lawful and what isn't. 847 00:40:00,239 --> 00:40:03,279 Speaker 7: Not surprisingly, there's been some backlash to those who are 848 00:40:03,280 --> 00:40:06,120 Speaker 7: worried about their removal. One Georgetown law Professor says this 849 00:40:06,480 --> 00:40:09,080 Speaker 7: Trump also firing the Army, Navy, and Air Force jags. 850 00:40:09,120 --> 00:40:11,560 Speaker 7: In some ways, that's even more chilling than firing the 851 00:40:11,600 --> 00:40:14,200 Speaker 7: four stars. It's what you do when you're planning to 852 00:40:14,280 --> 00:40:16,680 Speaker 7: break the law. You get rid of any lawyers who 853 00:40:16,840 --> 00:40:18,120 Speaker 7: might try to slow you down. 854 00:40:18,160 --> 00:40:19,000 Speaker 4: Your response to her. 855 00:40:19,040 --> 00:40:22,000 Speaker 8: I don't know who Rosa is and what her hyperbole 856 00:40:22,080 --> 00:40:26,840 Speaker 8: is all about. Ultimately, we want lawyers who give sound 857 00:40:26,920 --> 00:40:31,080 Speaker 8: constitutional advice and don't exist to attempt to be roadblocks 858 00:40:31,080 --> 00:40:34,759 Speaker 8: to anything anything that happens in their spots. What we 859 00:40:34,800 --> 00:40:36,760 Speaker 8: know about these t jags are called t jags inside 860 00:40:36,760 --> 00:40:39,400 Speaker 8: the military. Traditionally they've been elected by each other or 861 00:40:39,480 --> 00:40:41,680 Speaker 8: chosen by each other, which is exactly how it works 862 00:40:41,680 --> 00:40:45,920 Speaker 8: often with the chairman as well, small group of insulated 863 00:40:45,960 --> 00:40:49,600 Speaker 8: officers who perpetuate the status quo. Well, guess what status 864 00:40:49,680 --> 00:40:51,959 Speaker 8: quo hasn't worked very well at the Pentagon. It's time 865 00:40:52,000 --> 00:40:52,840 Speaker 8: for fresh blood. 866 00:40:53,200 --> 00:40:56,239 Speaker 2: So one of the things we know about Hegxeth because 867 00:40:56,280 --> 00:40:58,719 Speaker 2: he's written about it and also because of his public advocacy, 868 00:40:58,880 --> 00:41:01,640 Speaker 2: is he has pushed for their to be fewer limits 869 00:41:01,680 --> 00:41:05,879 Speaker 2: on what he calls war fighters in terms of you know, 870 00:41:06,160 --> 00:41:09,160 Speaker 2: following the rules of war. He went to the mat 871 00:41:09,239 --> 00:41:11,480 Speaker 2: for a number of people who had been either indicted 872 00:41:11,560 --> 00:41:14,520 Speaker 2: or convicted of war crimes, one of whom was turned 873 00:41:14,520 --> 00:41:18,879 Speaker 2: in by his own soldiers underneath him for what he had, 874 00:41:19,040 --> 00:41:21,240 Speaker 2: you know, what he had done while he was in battle. 875 00:41:21,680 --> 00:41:24,719 Speaker 2: And so for him to push these individuals down, I 876 00:41:24,719 --> 00:41:28,360 Speaker 2: think it's pretty consistent with his desire to I guess 877 00:41:28,360 --> 00:41:30,840 Speaker 2: the polite way would say it would be like loosen 878 00:41:30,920 --> 00:41:33,879 Speaker 2: the rules of engagement. It's very much what you heard 879 00:41:34,120 --> 00:41:36,600 Speaker 2: kind of, you know, way back in the Vietnam era, 880 00:41:36,719 --> 00:41:39,000 Speaker 2: there was this sense of oh, if we let, you know, 881 00:41:39,120 --> 00:41:41,880 Speaker 2: our guys do what they do, then we would have 882 00:41:41,920 --> 00:41:44,720 Speaker 2: been more successful there. You also heard it from Pete Hegseth, 883 00:41:44,760 --> 00:41:46,560 Speaker 2: you know, in the context of the Iraq war, which 884 00:41:46,560 --> 00:41:50,600 Speaker 2: he supported up until shockingly recently, that you know, you 885 00:41:50,719 --> 00:41:54,840 Speaker 2: needed to let them be more you know, have fewer 886 00:41:54,920 --> 00:41:58,600 Speaker 2: rules of engagement and effectively like green light more war crimes. 887 00:41:58,760 --> 00:42:01,279 Speaker 2: So it's consistent with that. Also, the moves I think 888 00:42:01,320 --> 00:42:04,799 Speaker 2: overall are consistent with you know, Trump wants to make 889 00:42:04,840 --> 00:42:08,520 Speaker 2: sure that the people who are at the top of 890 00:42:08,600 --> 00:42:11,360 Speaker 2: these chains of command that they're going to do whatever 891 00:42:11,400 --> 00:42:14,640 Speaker 2: he wants them to. Do whether those whether that pertains 892 00:42:14,680 --> 00:42:17,080 Speaker 2: to executing on his foreign policy, which I think he 893 00:42:17,160 --> 00:42:21,239 Speaker 2: feels justifiably that he was stymied at times by the 894 00:42:21,280 --> 00:42:24,759 Speaker 2: top brass, or whether it comes to executing orders that 895 00:42:24,800 --> 00:42:29,680 Speaker 2: would be unlawful or unconstitutional, as when he wanted to, 896 00:42:29,760 --> 00:42:32,640 Speaker 2: you know, shoot protesters in the legs during the Black 897 00:42:32,680 --> 00:42:37,160 Speaker 2: Lives Matter protests and riots, and the current chair of 898 00:42:37,160 --> 00:42:39,240 Speaker 2: the Joint Chess of Stavas, Mark Esper, at that point 899 00:42:39,320 --> 00:42:40,560 Speaker 2: was like, we're not doing that. 900 00:42:40,840 --> 00:42:41,760 Speaker 4: So I think it's. 901 00:42:41,840 --> 00:42:45,840 Speaker 2: Importantly Yeah, Milly was, Yeah, they were both involved. 902 00:42:45,920 --> 00:42:49,960 Speaker 3: Yeah, Look, I mean my main thing is this traces 903 00:42:50,040 --> 00:42:51,759 Speaker 3: back to I have sympathy. There are a lot of 904 00:42:51,800 --> 00:42:54,440 Speaker 3: GWAT veterans who watched the show, and in a sense 905 00:42:54,560 --> 00:42:57,480 Speaker 3: they're not wrong in that they were constrained because they 906 00:42:57,640 --> 00:43:01,560 Speaker 3: were basically put into a situation where they became State 907 00:43:01,600 --> 00:43:04,640 Speaker 3: Department diplomats in his job that they never signed up 908 00:43:04,640 --> 00:43:07,200 Speaker 3: for nation building and others that was not sold to 909 00:43:07,280 --> 00:43:10,560 Speaker 3: the American public. So you have these guys National guardsmen 910 00:43:10,680 --> 00:43:14,200 Speaker 3: who were previously cops in Kansas, who are trying to 911 00:43:14,280 --> 00:43:18,399 Speaker 3: negotiate between two rival sheiks who are literally at war 912 00:43:18,560 --> 00:43:21,640 Speaker 3: over which boy they get to sexually molessed and they're like, 913 00:43:21,880 --> 00:43:23,120 Speaker 3: what the hell am I doing here? 914 00:43:23,200 --> 00:43:23,359 Speaker 1: Right? 915 00:43:23,440 --> 00:43:26,319 Speaker 3: So in a way they're right in terms of a 916 00:43:26,320 --> 00:43:29,120 Speaker 3: lot of the way that the jag Officer Corps at 917 00:43:29,120 --> 00:43:30,920 Speaker 3: all of that this was under my crystal. It's kind 918 00:43:30,920 --> 00:43:34,080 Speaker 3: of the hr buification of the military is they put 919 00:43:34,120 --> 00:43:37,719 Speaker 3: an intense amount of restrictions on people whose job was 920 00:43:37,760 --> 00:43:39,800 Speaker 3: not to do this in the first place. This is 921 00:43:39,840 --> 00:43:42,640 Speaker 3: where I sympathize with the Vietnam vets and with the 922 00:43:42,680 --> 00:43:45,080 Speaker 3: g Want Vets in terms of their like, look, we 923 00:43:45,120 --> 00:43:46,600 Speaker 3: didn't know what our job was or was it was 924 00:43:46,600 --> 00:43:49,160 Speaker 3: to kill the enemy or was it to negotiate, you know, 925 00:43:49,200 --> 00:43:51,960 Speaker 3: with all this bullshit between these tribal leaders, and then 926 00:43:51,960 --> 00:43:53,640 Speaker 3: train a bunch of guys who are the most corrupt 927 00:43:53,680 --> 00:43:56,399 Speaker 3: police force literally on planet Earth in Afghanistan. 928 00:43:56,480 --> 00:43:58,719 Speaker 1: So I don't I. 929 00:43:58,680 --> 00:44:01,920 Speaker 3: Sympathize with Pete on this simply because that is the 930 00:44:01,960 --> 00:44:05,399 Speaker 3: overwhelming feeling of how betrayed many of the people there are. 931 00:44:05,440 --> 00:44:07,840 Speaker 3: In terms of the four stars CeCu Brown, everything I 932 00:44:07,880 --> 00:44:10,800 Speaker 3: did in terms of research, this guy's mediocre at best 933 00:44:10,840 --> 00:44:14,120 Speaker 3: and basically just a complete representation of the four star 934 00:44:15,080 --> 00:44:18,800 Speaker 3: bureaucracy inside of the Pentagon terrible f thirty five review 935 00:44:18,800 --> 00:44:23,000 Speaker 3: over the program. Literally like a DEI person in that 936 00:44:23,160 --> 00:44:25,840 Speaker 3: nobody could say anything about his track record as a 937 00:44:25,840 --> 00:44:27,600 Speaker 3: general except for, oh, he's black. 938 00:44:27,680 --> 00:44:29,440 Speaker 1: It's like, okay, well, what did he do? 939 00:44:29,760 --> 00:44:32,960 Speaker 3: I read a twenty twenty three dissent against his nomination 940 00:44:33,080 --> 00:44:35,840 Speaker 3: which went through his background at the Air Force, not 941 00:44:35,920 --> 00:44:39,399 Speaker 3: a single major, remarkable thing. He was basically promoted because 942 00:44:39,400 --> 00:44:42,120 Speaker 3: of his race under Lloyd Austin's like, okay, well, so 943 00:44:42,200 --> 00:44:44,600 Speaker 3: I have no problem with him getting fired. I think 944 00:44:44,680 --> 00:44:46,439 Speaker 3: really what it comes down to is the Mark Milly 945 00:44:46,480 --> 00:44:49,520 Speaker 3: stuff that you talked about previously, which is that Trump 946 00:44:49,600 --> 00:44:53,120 Speaker 3: correctly saw how James Mattison, Mark Milly and the previous 947 00:44:53,200 --> 00:44:56,680 Speaker 3: Joint chiefs all basically worked to steymy his direct and 948 00:44:56,760 --> 00:44:59,960 Speaker 3: lawful orders, for example, like saying pulling out of Seria, 949 00:45:00,280 --> 00:45:02,839 Speaker 3: negotiating with the Taliban. These are the people who worked 950 00:45:02,880 --> 00:45:05,480 Speaker 3: inside the bureaucracy to keep it from happening. One of 951 00:45:05,520 --> 00:45:09,160 Speaker 3: the main reasons he picked Headsets Hegsat's entire formation as 952 00:45:09,200 --> 00:45:12,080 Speaker 3: a member of the United States military was joining because 953 00:45:12,080 --> 00:45:13,000 Speaker 3: he believed in Iraq. 954 00:45:13,200 --> 00:45:14,480 Speaker 1: Obviously that was bad. 955 00:45:14,360 --> 00:45:17,480 Speaker 3: But while being inside of the bureaucracy watching both the 956 00:45:17,520 --> 00:45:20,720 Speaker 3: constraining at the political and at the legal level, trying 957 00:45:20,760 --> 00:45:23,040 Speaker 3: to turn the Pentagon into something that it's not supposed 958 00:45:23,080 --> 00:45:25,920 Speaker 3: to be, both in terms of a social experiment through DII, 959 00:45:26,040 --> 00:45:28,719 Speaker 3: which CQ. Brown, by the way, literally on record talking 960 00:45:28,760 --> 00:45:30,600 Speaker 3: about how he would put his thumb on the scales 961 00:45:30,800 --> 00:45:33,600 Speaker 3: to promote more black officers. I just think that's totally 962 00:45:33,680 --> 00:45:36,040 Speaker 3: counter to what Trump ran on. So I don't care 963 00:45:36,160 --> 00:45:38,680 Speaker 3: whatsoever that he got fired with the jag stuff. It 964 00:45:38,719 --> 00:45:41,759 Speaker 3: also very much fits with Hegsat's view of the military 965 00:45:41,800 --> 00:45:44,920 Speaker 3: and his overall war on Pentagon bureaucracy. So I mean, 966 00:45:44,960 --> 00:45:46,719 Speaker 3: currently I don't have an issue with this. I was 967 00:45:46,760 --> 00:45:49,680 Speaker 3: looking to Pete has told the Department to prepare for 968 00:45:49,800 --> 00:45:53,239 Speaker 3: major budget cuts. Great, let's do it. Let's cut even 969 00:45:53,280 --> 00:45:56,359 Speaker 3: more four star generals. The commonly held thing that Pete 970 00:45:56,400 --> 00:45:58,719 Speaker 3: often talks about is the number of four stars that 971 00:45:58,760 --> 00:46:01,240 Speaker 3: we have today as opposed to the actual winning fighters 972 00:46:01,480 --> 00:46:03,680 Speaker 3: of World War Two. And I think he's completely correct 973 00:46:03,680 --> 00:46:06,919 Speaker 3: in terms of the explosion of all of the bureaucracy 974 00:46:06,920 --> 00:46:09,680 Speaker 3: inside of the Pentagon, where, in the words of Steve 975 00:46:09,719 --> 00:46:12,080 Speaker 3: Mannon the real budgets a trillion, we could lop a 976 00:46:12,160 --> 00:46:14,080 Speaker 3: hundred billion off the top, and not all that much 977 00:46:14,239 --> 00:46:15,120 Speaker 3: would happened over there. 978 00:46:15,200 --> 00:46:16,000 Speaker 4: Here's what I would say. 979 00:46:16,040 --> 00:46:17,960 Speaker 2: I think it's insane to imagine that the problem in 980 00:46:17,960 --> 00:46:20,560 Speaker 2: I Rock was that we were too protective of civilians 981 00:46:20,640 --> 00:46:21,520 Speaker 2: or in Afghanistan. 982 00:46:22,000 --> 00:46:23,799 Speaker 3: But do you understand how they get there, Like in 983 00:46:23,880 --> 00:46:26,400 Speaker 3: terms of their sent over there, what they think is 984 00:46:26,440 --> 00:46:29,040 Speaker 3: to kill terrorists. They show up and they're like, well, 985 00:46:29,080 --> 00:46:32,239 Speaker 3: we're supposed to. The brass tells you kill the terrorists, 986 00:46:32,280 --> 00:46:33,160 Speaker 3: but you need to have. 987 00:46:33,120 --> 00:46:35,120 Speaker 1: Eyes on him. He needs to be shooting at you. 988 00:46:35,160 --> 00:46:36,719 Speaker 3: And at the very same time you need to not 989 00:46:36,800 --> 00:46:38,800 Speaker 3: disrupt that civilians the job. 990 00:46:38,640 --> 00:46:41,879 Speaker 2: Of a soldier, no, but really just to give you 991 00:46:41,920 --> 00:46:43,839 Speaker 2: a specific so I mean, which is part of why 992 00:46:43,920 --> 00:46:48,560 Speaker 2: you want good JAG officers to advise you on the 993 00:46:48,640 --> 00:46:52,040 Speaker 2: rules of war and to make sure you're not just 994 00:46:52,160 --> 00:46:55,160 Speaker 2: blanket massacring civilians, which did happen at times. I mean, 995 00:46:55,200 --> 00:46:56,640 Speaker 2: one of the guys that he went to bat for, 996 00:46:56,719 --> 00:46:59,319 Speaker 2: which is the one that I said, his own men 997 00:46:59,719 --> 00:47:04,040 Speaker 2: turn him in. He instructed them to fire on a 998 00:47:04,120 --> 00:47:08,799 Speaker 2: group of civilians that they knew were civilians, and after 999 00:47:08,840 --> 00:47:11,279 Speaker 2: the fact tried to cover it up by saying, oh, well, 1000 00:47:11,320 --> 00:47:14,920 Speaker 2: we weren't able after the fact to check them for weapons, 1001 00:47:14,960 --> 00:47:18,440 Speaker 2: so we really don't know. So again, it was his 1002 00:47:18,600 --> 00:47:21,879 Speaker 2: own like the soldiers who were serving under him, who 1003 00:47:21,920 --> 00:47:24,360 Speaker 2: did not want to execute that order because they knew 1004 00:47:24,480 --> 00:47:27,600 Speaker 2: it was just a slaughter of civilians, who turned him in. 1005 00:47:28,200 --> 00:47:32,040 Speaker 2: And then he's found guilty and heg Seth add Gates 1006 00:47:32,040 --> 00:47:34,960 Speaker 2: Warm goes to that gets Trump to pardon him, even 1007 00:47:35,000 --> 00:47:37,320 Speaker 2: though you know, it was quite clear and getting was 1008 00:47:37,320 --> 00:47:40,000 Speaker 2: found guilty by Jervispeers, turned in by his own men 1009 00:47:40,280 --> 00:47:42,960 Speaker 2: that he had just gone out and slaughtered civilians. So, 1010 00:47:43,360 --> 00:47:46,320 Speaker 2: you know, I just I don't think that that's acceptable. 1011 00:47:46,360 --> 00:47:47,680 Speaker 2: I don't think that's the way that we should be 1012 00:47:47,719 --> 00:47:50,040 Speaker 2: conducting ourselves. I don't think that that helped. That type 1013 00:47:50,080 --> 00:47:52,919 Speaker 2: of you know, just brutality towards civilians helped us either 1014 00:47:52,920 --> 00:47:54,800 Speaker 2: in Iraq and Afghanistan. Of course, we never should have 1015 00:47:54,800 --> 00:47:56,480 Speaker 2: been there in the first place. And the fact that 1016 00:47:56,480 --> 00:47:59,640 Speaker 2: Pete Hegseth was in favor of the Iraq war long 1017 00:47:59,680 --> 00:48:02,480 Speaker 2: after even you know, some of Hillary Clinton and some 1018 00:48:02,520 --> 00:48:04,840 Speaker 2: of the most died inable neocons had said, you know, 1019 00:48:04,880 --> 00:48:08,359 Speaker 2: this wasn't a great idea. Does not really particularly recommend him. 1020 00:48:08,560 --> 00:48:10,800 Speaker 2: So you know, the other thing I would say about 1021 00:48:10,840 --> 00:48:13,600 Speaker 2: the Chair of the Joint Chiefs here, who you know, 1022 00:48:13,640 --> 00:48:15,879 Speaker 2: I don't have a lot of specific knowledge about him. 1023 00:48:15,920 --> 00:48:17,880 Speaker 2: I know hag Seth, and his book didn't really offer 1024 00:48:18,040 --> 00:48:22,239 Speaker 2: a lot of analysis about why he suspected that he 1025 00:48:22,360 --> 00:48:25,920 Speaker 2: wasn't sort of deserving or you know, meritorious of this 1026 00:48:25,960 --> 00:48:28,799 Speaker 2: particular position. It seemed to be just an assumption like, well, 1027 00:48:28,840 --> 00:48:31,520 Speaker 2: he's black, so he must not deserve it. But putting 1028 00:48:31,520 --> 00:48:35,640 Speaker 2: that is send But I think it probably is true. 1029 00:48:35,680 --> 00:48:39,360 Speaker 3: I think it's pretty single thing St. Q. 1030 00:48:39,440 --> 00:48:40,839 Speaker 1: Brown did before he was. 1031 00:48:41,360 --> 00:48:43,600 Speaker 4: But sorry, that's the thing. Here's the thing. 1032 00:48:43,840 --> 00:48:45,919 Speaker 2: I think it's very difficult to argue that the guy 1033 00:48:45,960 --> 00:48:48,319 Speaker 2: that they're putting in now is there out of quote 1034 00:48:48,360 --> 00:48:51,680 Speaker 2: unquote merit. I mean, it's really clear Trump is putting 1035 00:48:51,719 --> 00:48:54,800 Speaker 2: him in place because he thinks he's a Trump maggot. 1036 00:48:54,880 --> 00:48:57,440 Speaker 2: Diehard will do whatever he wants. And I'm not just 1037 00:48:57,520 --> 00:49:00,440 Speaker 2: talking about, you know, executing his lawful orders with regard 1038 00:49:00,480 --> 00:49:03,719 Speaker 2: to Siria or whatever. I'm talking about even if he 1039 00:49:03,840 --> 00:49:08,160 Speaker 2: wants to use the military in ways that would be unconstitutional, 1040 00:49:08,320 --> 00:49:10,960 Speaker 2: unlawful and yes, fascist, that this would be the guy 1041 00:49:10,960 --> 00:49:13,319 Speaker 2: who would greenlight those sorts of things, and you know, 1042 00:49:13,400 --> 00:49:17,160 Speaker 2: to bolster that point, Trump has long been telling stories 1043 00:49:17,239 --> 00:49:20,320 Speaker 2: about this guy, claiming he put on a maga hat 1044 00:49:20,360 --> 00:49:22,680 Speaker 2: and said, I love you, sir, I think your great, sir. 1045 00:49:22,800 --> 00:49:26,480 Speaker 2: I'll kill for you, sir. He is he actually has 1046 00:49:26,520 --> 00:49:29,279 Speaker 2: to get a waiver in order to be elevated to 1047 00:49:29,320 --> 00:49:32,960 Speaker 2: this position because he doesn't meet the technical qualifications you're 1048 00:49:33,000 --> 00:49:35,360 Speaker 2: supposed to have for this job. So the idea of 1049 00:49:35,360 --> 00:49:37,279 Speaker 2: this is like just about merit. I think it's kind 1050 00:49:37,320 --> 00:49:40,080 Speaker 2: of preposterous. I think it's preposterous for many of the positions. 1051 00:49:39,719 --> 00:49:43,600 Speaker 3: Now we worship at the altar four star generalship and say, oh, well, 1052 00:49:43,600 --> 00:49:44,480 Speaker 3: he's not on star. 1053 00:49:45,080 --> 00:49:45,760 Speaker 4: I'm just saying. 1054 00:49:45,960 --> 00:49:48,400 Speaker 2: I'm just saying that if you're trying to argue that 1055 00:49:48,480 --> 00:49:51,080 Speaker 2: he's being put in place because of merit, I think 1056 00:49:51,080 --> 00:49:52,880 Speaker 2: that is relatively preposterous. 1057 00:49:52,880 --> 00:49:55,080 Speaker 3: Honestly, what I am arguing is that I don't care 1058 00:49:55,120 --> 00:49:57,640 Speaker 3: about the I don't think most people care either, whether 1059 00:49:57,680 --> 00:50:01,560 Speaker 3: somebody is quote like a check all boxes of having 1060 00:50:01,880 --> 00:50:05,160 Speaker 3: satisfied military bureaucracy up to the four star level so 1061 00:50:05,200 --> 00:50:07,440 Speaker 3: that they can get their nice little stamp of approval 1062 00:50:07,680 --> 00:50:09,719 Speaker 3: for jo Chairman of the jointies. By the way, see 1063 00:50:09,800 --> 00:50:11,960 Speaker 3: Q Brown will be just fine. Give Raithian or Lockheed 1064 00:50:11,960 --> 00:50:14,680 Speaker 3: literally tomorrow. Okay, so we all know how that worked. 1065 00:50:14,719 --> 00:50:17,200 Speaker 3: I'm not going to dispute. I don't actually know a 1066 00:50:17,239 --> 00:50:19,400 Speaker 3: ton about this new guy. I've been trying to read 1067 00:50:19,560 --> 00:50:21,160 Speaker 3: about Kane. But why don't we play the clip of 1068 00:50:21,160 --> 00:50:22,719 Speaker 3: Trump talking about Kane before we weigh in. 1069 00:50:22,800 --> 00:50:23,520 Speaker 1: Let's take a listen. 1070 00:50:23,760 --> 00:50:28,680 Speaker 6: A general, another general, a colonel, a staff sergeant. Could 1071 00:50:28,719 --> 00:50:32,359 Speaker 6: be in any movie. These guys, it's like perfect. They're 1072 00:50:32,360 --> 00:50:35,799 Speaker 6: like perfect individuals. If I were casting a movie on 1073 00:50:35,840 --> 00:50:38,160 Speaker 6: the military, I would pick these guys. There's nobody you 1074 00:50:38,200 --> 00:50:41,640 Speaker 6: could hire in Hollywood that looks like this. So I 1075 00:50:41,680 --> 00:50:46,000 Speaker 6: walked down and this is where I met General Raisin Kane. 1076 00:50:46,520 --> 00:50:47,359 Speaker 1: And what's your name? 1077 00:50:47,960 --> 00:50:50,000 Speaker 6: General, what's your name? And he gave me his name, 1078 00:50:50,080 --> 00:50:50,760 Speaker 6: what's your name. 1079 00:50:50,680 --> 00:50:51,680 Speaker 3: Sergeant, sir? 1080 00:50:51,760 --> 00:50:54,879 Speaker 6: And I love you, sir, think you're sir. I'll kill 1081 00:50:55,000 --> 00:50:59,840 Speaker 6: for you, sir. Then he puts on a make America 1082 00:51:00,120 --> 00:51:03,759 Speaker 6: right again. You're not allowed to do that, but they did. 1083 00:51:04,000 --> 00:51:05,920 Speaker 6: I remember I went into the Hangar and there were 1084 00:51:05,960 --> 00:51:08,520 Speaker 6: a lot of there were hundreds of troops and they're 1085 00:51:08,560 --> 00:51:10,200 Speaker 6: not supposed to do this, but they all put on 1086 00:51:10,239 --> 00:51:11,520 Speaker 6: the make America great again. 1087 00:51:12,560 --> 00:51:16,759 Speaker 2: Well, so that's what Trump has said, there's this qualification 1088 00:51:16,840 --> 00:51:19,799 Speaker 2: for the job, and you can't like this is what 1089 00:51:20,120 --> 00:51:21,399 Speaker 2: this is why Trump picked. 1090 00:51:21,440 --> 00:51:24,920 Speaker 3: Do I think Trump is mister Merritt and wants all 1091 00:51:24,920 --> 00:51:25,480 Speaker 3: of this stuff? 1092 00:51:25,640 --> 00:51:28,480 Speaker 1: No? Do I think that Pete Hegsath and them do. Yes. 1093 00:51:28,520 --> 00:51:32,319 Speaker 3: Actually they have a much longer track record of being 1094 00:51:32,360 --> 00:51:36,400 Speaker 3: against military bureaucracy, of restoring the Pentagon to its singular purpose. 1095 00:51:36,480 --> 00:51:37,960 Speaker 1: And you know, to counter what you. 1096 00:51:37,880 --> 00:51:39,760 Speaker 3: Were talking about early, because I think this is very important, 1097 00:51:40,000 --> 00:51:41,799 Speaker 3: is you were saying that's the job of soldier. The 1098 00:51:41,840 --> 00:51:44,080 Speaker 3: problem is that we made that the job of the 1099 00:51:44,120 --> 00:51:46,320 Speaker 3: soldier when it's not actually the job. The job of 1100 00:51:46,360 --> 00:51:48,479 Speaker 3: the soldier is to win and to fight a war. 1101 00:51:48,560 --> 00:51:50,719 Speaker 3: It's the job of the State Department and of the 1102 00:51:50,760 --> 00:51:53,960 Speaker 3: presidents and others to not put people in a situation 1103 00:51:54,320 --> 00:51:57,280 Speaker 3: which is actually counter to their job description. From Should 1104 00:51:57,320 --> 00:52:00,279 Speaker 3: nineteen year olds from Topeka really be negotiating, you know, 1105 00:52:00,520 --> 00:52:02,080 Speaker 3: tribal warfare between them? 1106 00:52:02,239 --> 00:52:06,719 Speaker 1: Absolutely not. Well, again, this problem with the entire mission. 1107 00:52:06,480 --> 00:52:10,200 Speaker 2: Back to you know, you're right, obviously we should never 1108 00:52:10,280 --> 00:52:14,640 Speaker 2: have been there at all period. But when you look 1109 00:52:14,640 --> 00:52:17,520 Speaker 2: at a track record of judgment. Pete Hegseth has had 1110 00:52:17,520 --> 00:52:19,960 Speaker 2: a very bad one. You know, he was he was 1111 00:52:20,000 --> 00:52:22,440 Speaker 2: wrong about Iraq, he was wrong about Afghanistan, he was 1112 00:52:22,440 --> 00:52:25,960 Speaker 2: wrong about Ukraine up until very recently. So you know, 1113 00:52:26,040 --> 00:52:29,200 Speaker 2: if you're looking for someone who but you know, what 1114 00:52:29,239 --> 00:52:33,359 Speaker 2: matters most is that you took the correct position when 1115 00:52:33,400 --> 00:52:36,000 Speaker 2: it was hard to do, when it was unpopular, when 1116 00:52:36,040 --> 00:52:39,160 Speaker 2: it didn't serve your political and career interests. He does 1117 00:52:39,200 --> 00:52:40,920 Speaker 2: not have a track record of that. He has a 1118 00:52:40,960 --> 00:52:42,960 Speaker 2: track record of being I want to go, and even more, 1119 00:52:43,000 --> 00:52:44,839 Speaker 2: I want to send even more people in. I want 1120 00:52:44,840 --> 00:52:47,880 Speaker 2: to go to even get us involved in even more wars. 1121 00:52:47,960 --> 00:52:50,479 Speaker 2: So I certainly don't trust him on that front. But yes, 1122 00:52:50,760 --> 00:52:53,680 Speaker 2: once you're there, part of the job of the soldier 1123 00:52:54,080 --> 00:52:58,000 Speaker 2: is to is to try to protect the civilian populations 1124 00:52:58,440 --> 00:52:59,680 Speaker 2: that are in the area. 1125 00:53:00,280 --> 00:53:02,120 Speaker 3: Did I'm not arguing that they shouldn't have. What I'm 1126 00:53:02,160 --> 00:53:04,320 Speaker 3: saying is the reason why they felt. This is the 1127 00:53:04,360 --> 00:53:06,719 Speaker 3: thing again that people need to remember the rules of 1128 00:53:06,800 --> 00:53:10,239 Speaker 3: engagement would change on an almost yearly basis in Afghanistan 1129 00:53:10,280 --> 00:53:13,440 Speaker 3: as to whatever the political mission was. First it was 1130 00:53:13,560 --> 00:53:16,040 Speaker 3: light up the Taliban, then it was McCrystal came in. 1131 00:53:16,239 --> 00:53:20,240 Speaker 3: Then Obama fires my Crystal, and it changes again, literally 1132 00:53:20,280 --> 00:53:22,520 Speaker 3: on a year by year basis. The type of shots 1133 00:53:22,560 --> 00:53:24,920 Speaker 3: that you could take were completely up in the air. 1134 00:53:24,960 --> 00:53:26,520 Speaker 3: They'd have to call up to the chain of comand 1135 00:53:26,560 --> 00:53:28,400 Speaker 3: they had no idea what they were doing. There's a 1136 00:53:28,400 --> 00:53:31,360 Speaker 3: book Jake Tapper wrote, there's a movie as well. I 1137 00:53:31,400 --> 00:53:33,719 Speaker 3: think I'm blanking on the name at the outpost. That's 1138 00:53:33,719 --> 00:53:35,880 Speaker 3: what it is. People should watch it in terms of 1139 00:53:35,960 --> 00:53:37,720 Speaker 3: what it actually was like for people when they're getting 1140 00:53:37,719 --> 00:53:41,800 Speaker 3: ambushed within those rules of engagement now obviously, and none 1141 00:53:41,840 --> 00:53:46,120 Speaker 3: of them would dispute they're want to protect the civilian population. 1142 00:53:46,200 --> 00:53:48,080 Speaker 3: That's not it at all. As far as the Gallagher 1143 00:53:48,120 --> 00:53:51,320 Speaker 3: current case, I recommend there's a book called Alpha about 1144 00:53:52,000 --> 00:53:52,520 Speaker 3: Eddie Gallagher. 1145 00:53:52,560 --> 00:53:54,280 Speaker 1: It's very anti Eddie Gallagher. 1146 00:53:54,320 --> 00:53:55,719 Speaker 3: If you want the case for why I should have 1147 00:53:55,719 --> 00:53:57,839 Speaker 3: been convicted, there's a lot of stuff online you can 1148 00:53:57,880 --> 00:54:00,160 Speaker 3: go and read against it. It's a lot more complica 1149 00:54:00,320 --> 00:54:02,400 Speaker 3: then people think. I will say that in terms of 1150 00:54:03,000 --> 00:54:05,319 Speaker 3: whether he should have been convicted or not, I'm still up. 1151 00:54:05,239 --> 00:54:06,560 Speaker 1: In the air in terms of what I've read about 1152 00:54:06,560 --> 00:54:06,879 Speaker 1: the case. 1153 00:54:07,000 --> 00:54:09,879 Speaker 3: But the point that I come back to is that 1154 00:54:10,000 --> 00:54:11,400 Speaker 3: if you're going to get into a war, and this 1155 00:54:11,480 --> 00:54:13,480 Speaker 3: was what the Vietnam people would often say too, is 1156 00:54:13,480 --> 00:54:14,920 Speaker 3: if we're going to get into a war, then we 1157 00:54:14,960 --> 00:54:16,080 Speaker 3: have to be able to fight. Now. I don't think 1158 00:54:16,080 --> 00:54:18,040 Speaker 3: we should have gotten in those wars in the first place, 1159 00:54:18,200 --> 00:54:20,759 Speaker 3: and we should if before we light it up. If 1160 00:54:20,760 --> 00:54:23,480 Speaker 3: it's not capable, if you're not capable to win purely 1161 00:54:23,520 --> 00:54:25,960 Speaker 3: through military means, then you should not be fighting in 1162 00:54:26,000 --> 00:54:28,600 Speaker 3: the first place. You shouldn't turn these people into these 1163 00:54:28,840 --> 00:54:31,439 Speaker 3: quasi diplomats. But then at the same time tell them 1164 00:54:31,640 --> 00:54:33,719 Speaker 3: that their war fighters. And I think that gets to 1165 00:54:33,840 --> 00:54:36,680 Speaker 3: the actual crux of Hegsett's ideology. 1166 00:54:36,800 --> 00:54:37,760 Speaker 1: Just in terms of everything. 1167 00:54:37,800 --> 00:54:40,520 Speaker 3: I've listened to the guy and I can't say I 1168 00:54:40,560 --> 00:54:43,280 Speaker 3: disagree with him at all, which is, don't get involved 1169 00:54:43,320 --> 00:54:45,480 Speaker 3: if you're not going to do it the way that 1170 00:54:45,520 --> 00:54:46,160 Speaker 3: you're supposed to. 1171 00:54:46,360 --> 00:54:49,239 Speaker 2: Yeah, but I just func mentally dispute the idea that 1172 00:54:49,520 --> 00:54:52,240 Speaker 2: like if we had had more gloves off and killed 1173 00:54:52,239 --> 00:54:55,279 Speaker 2: the billions, had more collateral damage, then it would have 1174 00:54:55,280 --> 00:54:58,000 Speaker 2: gone better for us in Iraq and Afghanistan. 1175 00:54:58,040 --> 00:54:59,560 Speaker 1: I know you're exactly right, all are. 1176 00:54:59,480 --> 00:55:02,720 Speaker 2: Opposite of the case, but that is Pete Hegsas's position 1177 00:55:03,080 --> 00:55:04,960 Speaker 2: is that we should have been more gloves off. I 1178 00:55:05,000 --> 00:55:08,319 Speaker 2: mean the case I'm talking about, this guy knew these 1179 00:55:08,320 --> 00:55:11,160 Speaker 2: were civilians and he was like kill them and tried 1180 00:55:11,200 --> 00:55:13,560 Speaker 2: to cover it up after the fact, hide the weapons, 1181 00:55:13,680 --> 00:55:16,600 Speaker 2: Like we weren't able to go and check and see 1182 00:55:16,640 --> 00:55:18,520 Speaker 2: if they had weapons so that they could have plausible 1183 00:55:18,560 --> 00:55:23,920 Speaker 2: deniability that they just mass murdered civilians. And it was not, 1184 00:55:24,120 --> 00:55:26,200 Speaker 2: you know, it was actually the people who were lower 1185 00:55:26,239 --> 00:55:28,880 Speaker 2: on the totem pole, who were probably less experienced, who 1186 00:55:28,920 --> 00:55:30,000 Speaker 2: were like this was wrong. 1187 00:55:30,480 --> 00:55:33,160 Speaker 4: And by the way, the just one. 1188 00:55:33,080 --> 00:55:34,960 Speaker 2: Last thing on this and we can get into this 1189 00:55:35,360 --> 00:55:37,319 Speaker 2: last piece of with regard to you know, the dude 1190 00:55:37,360 --> 00:55:40,600 Speaker 2: who's now the chair of the Joint Chiefs. Those rules 1191 00:55:40,680 --> 00:55:43,640 Speaker 2: are not just put in place for protecting other civilians. 1192 00:55:43,920 --> 00:55:47,000 Speaker 2: It's also put in place so that our war fighters 1193 00:55:47,600 --> 00:55:50,919 Speaker 2: can live with themselves afterwards, so that they can come 1194 00:55:50,960 --> 00:55:53,400 Speaker 2: home and be able to go back to a normal 1195 00:55:53,440 --> 00:55:55,960 Speaker 2: life and not be completely traumatized by the things that 1196 00:55:56,040 --> 00:55:59,320 Speaker 2: they did. And you know, inevitably, when you have humans 1197 00:55:59,360 --> 00:56:01,799 Speaker 2: killing other humans, it's going to be a horrific and 1198 00:56:01,840 --> 00:56:05,880 Speaker 2: traumatizing experience, no doubt about that. But if you feel 1199 00:56:05,920 --> 00:56:09,080 Speaker 2: like you conducted yourself honorably, and that the you know, 1200 00:56:09,160 --> 00:56:11,520 Speaker 2: expectation was you were just killing the bad guys. You 1201 00:56:11,560 --> 00:56:14,279 Speaker 2: weren't just going out and like murdering whatever civilians happen 1202 00:56:14,360 --> 00:56:16,799 Speaker 2: into your path because some psycho who was above you 1203 00:56:16,920 --> 00:56:19,680 Speaker 2: was ordering you to do that. Like that's also protection 1204 00:56:19,880 --> 00:56:23,279 Speaker 2: for our own soldiers. And I don't think, you know, 1205 00:56:23,360 --> 00:56:26,879 Speaker 2: I think the firing of these JAG officers, the top 1206 00:56:26,960 --> 00:56:30,040 Speaker 2: lawyers in these three services indicates, you know, he has 1207 00:56:30,160 --> 00:56:33,200 Speaker 2: no respect for that whatsoever. Obviously that's what he's written 1208 00:56:33,280 --> 00:56:36,120 Speaker 2: in the past. And I also think, you know, again, 1209 00:56:36,200 --> 00:56:40,200 Speaker 2: the overall program here. Yes, it may be something about 1210 00:56:40,280 --> 00:56:43,759 Speaker 2: the bureaucracy and making sure that even the lawful orders 1211 00:56:43,760 --> 00:56:47,640 Speaker 2: are properly executed. Fine, but I think at core, as 1212 00:56:47,719 --> 00:56:50,959 Speaker 2: judging by the way Trump himself describes who's put in here, 1213 00:56:51,239 --> 00:56:53,359 Speaker 2: it really is about making sure this is someone who 1214 00:56:53,360 --> 00:56:56,080 Speaker 2: will do whatever I say, no matter what it is, 1215 00:56:56,160 --> 00:56:59,440 Speaker 2: whether it is legal or illegal or somewhere in between, 1216 00:57:00,160 --> 00:57:03,239 Speaker 2: going to execute on my orders. And the last piece 1217 00:57:03,280 --> 00:57:05,560 Speaker 2: of this is this was pulled up, so this is 1218 00:57:05,760 --> 00:57:08,000 Speaker 2: this is kind of weird. I just put this out there. 1219 00:57:08,080 --> 00:57:10,399 Speaker 2: Make of it what you will. The new guy who 1220 00:57:10,440 --> 00:57:14,120 Speaker 2: got put in Dan Kine. He had just retired from 1221 00:57:14,120 --> 00:57:16,200 Speaker 2: the military, so they're pulling him back out. And I'm 1222 00:57:16,200 --> 00:57:20,560 Speaker 2: talking about like just retired in January. Immediately after he retires. 1223 00:57:20,960 --> 00:57:23,440 Speaker 2: Oh look, if he gets snatched up by three different 1224 00:57:23,440 --> 00:57:27,520 Speaker 2: crypto firms, one of them in particular, Thrive Capital, was 1225 00:57:27,680 --> 00:57:32,480 Speaker 2: founded by Jared Kushner's brother Joshua, had an investment by 1226 00:57:32,520 --> 00:57:34,760 Speaker 2: Peter Teel, and also let a funding round for Open 1227 00:57:34,800 --> 00:57:38,600 Speaker 2: Ai in twenty twenty four. And so you know, the 1228 00:57:38,680 --> 00:57:44,360 Speaker 2: other thing that Trump gets out of selecting this individual 1229 00:57:44,560 --> 00:57:48,520 Speaker 2: for this position is number one. I mean, how much 1230 00:57:48,520 --> 00:57:50,360 Speaker 2: money did he make while he was there? Like is 1231 00:57:50,360 --> 00:57:53,280 Speaker 2: he now responsible for sort of like his financial security? 1232 00:57:53,680 --> 00:57:58,040 Speaker 2: But certainly he would never have ascended to anything like 1233 00:57:58,480 --> 00:58:02,080 Speaker 2: this level in term of his career. He just retired 1234 00:58:02,520 --> 00:58:05,400 Speaker 2: without Trump. So he owes Trump everything is what I'm 1235 00:58:05,440 --> 00:58:08,120 Speaker 2: trying to say. And so that again speaks to this 1236 00:58:08,240 --> 00:58:10,960 Speaker 2: part of I want you to be loyal, no matter 1237 00:58:11,000 --> 00:58:13,320 Speaker 2: what I ask you to do, and I think he 1238 00:58:13,400 --> 00:58:15,480 Speaker 2: feels like with Dan Kaine, that's what he's getting. 1239 00:58:15,640 --> 00:58:18,320 Speaker 3: So Cain, first of all, I will just say this, 1240 00:58:18,680 --> 00:58:21,439 Speaker 3: this is not a pro Kaine argument. They all glow 1241 00:58:21,520 --> 00:58:26,280 Speaker 3: out and join crypto cybersecurity firms and or prime contractors 1242 00:58:26,320 --> 00:58:26,640 Speaker 3: after that. 1243 00:58:26,720 --> 00:58:28,040 Speaker 1: So he's not particularly they are. 1244 00:58:28,080 --> 00:58:30,040 Speaker 2: They all started by Jared Kushner's brother. 1245 00:58:30,120 --> 00:58:31,040 Speaker 1: However, right Capital? 1246 00:58:31,200 --> 00:58:34,040 Speaker 3: Ye, yes, does Joshua Kushner own a stake in thrit 1247 00:58:34,040 --> 00:58:35,840 Speaker 3: But but this is what I'm saying in terms of 1248 00:58:36,040 --> 00:58:37,920 Speaker 3: if you look at the board seats for all of 1249 00:58:37,960 --> 00:58:38,760 Speaker 3: these people. 1250 00:58:38,680 --> 00:58:40,280 Speaker 1: What's the first thing that they all go out and do. 1251 00:58:40,480 --> 00:58:42,240 Speaker 3: And by the way, Jim Mattis literally was on the 1252 00:58:42,240 --> 00:58:44,880 Speaker 3: board of Pharahos if we all recall so to show, 1253 00:58:45,280 --> 00:58:48,040 Speaker 3: just to show folks saying how this all works, Trace 1254 00:58:48,160 --> 00:58:49,360 Speaker 3: is at KKR Capital. 1255 00:58:49,480 --> 00:58:52,160 Speaker 2: I could go on it's an accident that he gets 1256 00:58:52,360 --> 00:58:54,959 Speaker 2: snatched up and hired and who knows how much money 1257 00:58:54,960 --> 00:58:57,640 Speaker 2: he makes in this short period of time from a 1258 00:58:57,680 --> 00:59:00,080 Speaker 2: firm that is connected both to Peter Teel and to 1259 00:59:00,120 --> 00:59:00,520 Speaker 2: Jared Cuk. 1260 00:59:00,600 --> 00:59:02,880 Speaker 3: I actually don't think it's the Teal connection. Everything I've 1261 00:59:02,880 --> 00:59:05,000 Speaker 3: been able to read is that Trump met this guy 1262 00:59:05,080 --> 00:59:07,160 Speaker 3: six years ago in Iraq and was like, man, I 1263 00:59:07,240 --> 00:59:07,600 Speaker 3: just love it. 1264 00:59:07,640 --> 00:59:10,280 Speaker 2: No, I'm not saying that, I'm saying that this means 1265 00:59:10,360 --> 00:59:13,680 Speaker 2: that so he retires, he has a short window of 1266 00:59:13,720 --> 00:59:16,080 Speaker 2: time to go on the private sector and make bank 1267 00:59:16,400 --> 00:59:18,360 Speaker 2: and guess who shows up at his door to be like, 1268 00:59:18,680 --> 00:59:20,960 Speaker 2: we will pay you. We don't know how much, however 1269 00:59:21,040 --> 00:59:24,640 Speaker 2: much happens to be Jared Kushner's brother's firm. 1270 00:59:25,080 --> 00:59:26,600 Speaker 4: Like, that's not an accident. 1271 00:59:26,760 --> 00:59:29,800 Speaker 1: I honestly don't think it's nearly as intentional as you think. 1272 00:59:29,840 --> 00:59:32,160 Speaker 3: I think literally all of these guys, especially because he's 1273 00:59:32,200 --> 00:59:35,480 Speaker 3: a former Air Force person and work flu F sixteen's, 1274 00:59:35,680 --> 00:59:38,320 Speaker 3: is going to go join some space like firm. They 1275 00:59:38,360 --> 00:59:39,880 Speaker 3: all have them on the payroll. This is not a 1276 00:59:39,880 --> 00:59:42,440 Speaker 3: defense of him, per se. This is the entire general 1277 00:59:42,480 --> 00:59:44,120 Speaker 3: offers class. This is the problem. 1278 00:59:44,120 --> 00:59:46,800 Speaker 2: It's just an accident that it's Kushner's brother's firm that 1279 00:59:46,840 --> 00:59:47,880 Speaker 2: happens to give him this man. 1280 00:59:47,960 --> 00:59:50,240 Speaker 3: I don't think it's a quote unquote accident or whatever. 1281 00:59:50,360 --> 00:59:52,440 Speaker 3: I don't know if they necessarily picked him because they 1282 00:59:52,440 --> 00:59:54,760 Speaker 3: thought he was going to be the next chairman. Again, 1283 00:59:54,960 --> 00:59:57,280 Speaker 3: everything I've read is that Trump is obsessed with this 1284 00:59:57,400 --> 00:59:59,920 Speaker 3: dude because of his quote can do attitude from a 1285 01:00:00,080 --> 01:00:03,160 Speaker 3: visit to Iraq six years ago. Maybe because they knew 1286 01:00:03,200 --> 01:00:05,280 Speaker 3: that Trump liked him, they hired him. So I can't, 1287 01:00:05,320 --> 01:00:07,960 Speaker 3: you know, rule that out, per se. But everything I've 1288 01:00:07,960 --> 01:00:10,080 Speaker 3: been able to see from his background as he joined 1289 01:00:10,200 --> 01:00:12,600 Speaker 3: that main firm apparently that was paying him, was this 1290 01:00:12,680 --> 01:00:16,680 Speaker 3: cybersecurity firm in Washington that seems to be like the 1291 01:00:16,720 --> 01:00:18,040 Speaker 3: major source of his funds. 1292 01:00:18,040 --> 01:00:19,880 Speaker 1: I'm not defending any of this. I think it's gross. 1293 01:00:19,880 --> 01:00:21,640 Speaker 3: And this is the problem I have with all of 1294 01:00:21,680 --> 01:00:25,360 Speaker 3: this is the bureaucratization, the corporate basically fusing of the 1295 01:00:25,480 --> 01:00:28,919 Speaker 3: entire general officership. So whoever this guy is, I would 1296 01:00:29,000 --> 01:00:32,400 Speaker 3: really hope that who at least don't keep that ethos 1297 01:00:32,400 --> 01:00:34,360 Speaker 3: whenever you're at the top. But I'm not naive in 1298 01:00:34,440 --> 01:00:37,120 Speaker 3: terms of who and why he got picked. But I 1299 01:00:37,200 --> 01:00:39,760 Speaker 3: don't think that the connection is as solid as people 1300 01:00:40,000 --> 01:00:40,680 Speaker 3: are trying to make. 1301 01:00:40,840 --> 01:00:44,680 Speaker 2: I just think it's very convenient that this man now 1302 01:00:44,840 --> 01:00:50,000 Speaker 2: owes both his career and his wealth to Trump and 1303 01:00:50,000 --> 01:00:50,600 Speaker 2: the Trump family. 1304 01:00:50,640 --> 01:00:53,360 Speaker 3: Okay, but this is where I just well, first of all, 1305 01:00:53,480 --> 01:00:56,840 Speaker 3: I mean not really right, like Joshua Kushner basically denounced. 1306 01:00:56,440 --> 01:00:58,480 Speaker 1: His own brother whenever he was in the White House. 1307 01:00:58,280 --> 01:01:00,640 Speaker 3: And who was he married to the super Harley class 1308 01:01:00,760 --> 01:01:03,080 Speaker 3: or something like that, who is putting out anti Trump stuff. 1309 01:01:03,080 --> 01:01:05,480 Speaker 3: I don't think the connection is as close as you're 1310 01:01:05,520 --> 01:01:07,680 Speaker 3: making it out to be. But again, this is the 1311 01:01:07,720 --> 01:01:10,800 Speaker 3: problem with the systemic corruption around here, Like did people 1312 01:01:10,840 --> 01:01:13,160 Speaker 3: really care when Lloyd Did democrats really care when Lloyd 1313 01:01:13,160 --> 01:01:15,880 Speaker 3: Austin literally coming from prime contractors back into. 1314 01:01:15,720 --> 01:01:18,560 Speaker 1: The Defense Secretary? Not really c Q. Brown. 1315 01:01:18,720 --> 01:01:21,960 Speaker 3: He'll be employed tomorrow by probably the same type of 1316 01:01:22,000 --> 01:01:24,800 Speaker 3: people here because of his past experience. So I just 1317 01:01:24,840 --> 01:01:26,800 Speaker 3: don't think that people have a huge light to stand 1318 01:01:26,840 --> 01:01:28,560 Speaker 3: on in terms of pointing out corruption. 1319 01:01:28,840 --> 01:01:31,120 Speaker 2: It's not just about the care it's about the direct 1320 01:01:31,240 --> 01:01:34,479 Speaker 2: family time. So if we're if my case is he's 1321 01:01:34,480 --> 01:01:37,360 Speaker 2: put in there because of loyalty, and if you have 1322 01:01:37,480 --> 01:01:40,680 Speaker 2: been responsible not only for the career elevation, which is 1323 01:01:40,800 --> 01:01:42,840 Speaker 2: very you know, again, he has to get a waiver 1324 01:01:42,920 --> 01:01:45,520 Speaker 2: to even get put in this position. He had retired, 1325 01:01:46,080 --> 01:01:49,000 Speaker 2: very unusual come back out of retirement like Trump. He 1326 01:01:49,120 --> 01:01:54,000 Speaker 2: owes Trump his career and you have this connection family 1327 01:01:54,000 --> 01:01:56,720 Speaker 2: connection to as well. I'm just saying that if you 1328 01:01:56,920 --> 01:02:00,880 Speaker 2: owe that much to this one person, then that is 1329 01:02:00,920 --> 01:02:04,640 Speaker 2: another attempt to help guarantee that whatever it is that 1330 01:02:04,680 --> 01:02:06,720 Speaker 2: you want to do in the future, this person is 1331 01:02:06,720 --> 01:02:08,120 Speaker 2: going to be loyal no matter why. 1332 01:02:08,120 --> 01:02:08,840 Speaker 1: I see what you're saying. 1333 01:02:08,920 --> 01:02:11,000 Speaker 3: Yeah, I think that's probably fair, although I mean he 1334 01:02:11,040 --> 01:02:14,920 Speaker 3: probably was picked for this exact reason specifically be. 1335 01:02:14,880 --> 01:02:17,200 Speaker 1: The person, but this is going to be guarantee. 1336 01:02:17,320 --> 01:02:20,000 Speaker 3: Yeah, I mean, I just would say, it's not like 1337 01:02:20,120 --> 01:02:21,919 Speaker 3: any person who serves as the Chairman of the Joint 1338 01:02:21,960 --> 01:02:23,320 Speaker 3: Chiefs is ever hard up for money. 1339 01:02:23,480 --> 01:02:23,960 Speaker 1: Literally. 1340 01:02:24,000 --> 01:02:25,920 Speaker 3: Ever, if you go look at all these spaces, you 1341 01:02:25,920 --> 01:02:28,320 Speaker 3: don't need Peter Teel or Joshua Kushner to cut you 1342 01:02:28,400 --> 01:02:31,200 Speaker 3: a check. There's oceans of money here in Northern Virginia 1343 01:02:31,240 --> 01:02:32,880 Speaker 3: to be made for all of them. So I don't 1344 01:02:32,880 --> 01:02:35,000 Speaker 3: think it's nearly as clear cut. And you know, people 1345 01:02:35,040 --> 01:02:37,040 Speaker 3: are going to say that I'm defending this guy. I'm 1346 01:02:37,040 --> 01:02:40,840 Speaker 3: just pointing out how disgusting this entire system is. Every 1347 01:02:40,920 --> 01:02:45,160 Speaker 3: single basically one Star Onward becomes a multi millionaire within 1348 01:02:45,200 --> 01:02:49,960 Speaker 3: a year after a year after they resign, through these boards, 1349 01:02:50,200 --> 01:02:54,480 Speaker 3: through whatever Fox News or CFR contracts and all of this, 1350 01:02:54,600 --> 01:02:57,560 Speaker 3: And unfortunately it is par for the course that we 1351 01:02:57,600 --> 01:03:00,160 Speaker 3: have here. And again, I just don't think that these 1352 01:03:00,200 --> 01:03:02,480 Speaker 3: people have much like to stand on when their literal 1353 01:03:02,560 --> 01:03:05,960 Speaker 3: heroes are doing the exact same thing. So it's like, Okay, 1354 01:03:06,000 --> 01:03:09,240 Speaker 3: you're arguing within a broken system. The next Democratic president 1355 01:03:09,280 --> 01:03:11,320 Speaker 3: is almost certainly going to pick somebody who's also on 1356 01:03:11,360 --> 01:03:14,640 Speaker 3: the board of Lockheed or whatever. It's a systemic problem 1357 01:03:14,680 --> 01:03:16,760 Speaker 3: that we have, and it just makes it probably more 1358 01:03:16,800 --> 01:03:20,120 Speaker 3: cynical in terms of the war over like who's really corrupt, 1359 01:03:20,200 --> 01:03:33,120 Speaker 3: because easily people can point out that it's everyone