1 00:00:00,200 --> 00:00:04,480 Speaker 1: Hello, everybody, Happy Saturday. It's Saturday morning here, and we 2 00:00:04,720 --> 00:00:09,800 Speaker 1: got the long awaited Trump Rogan interview clocked in at 3 00:00:09,840 --> 00:00:14,080 Speaker 1: exactly three hours long. There's quite a few let's just 4 00:00:14,080 --> 00:00:17,239 Speaker 1: say the weave was in full effect for the entire thing. 5 00:00:18,040 --> 00:00:20,960 Speaker 1: We both now listened to the entire interview. They ended 6 00:00:21,000 --> 00:00:22,919 Speaker 1: up dropping it around what was it like, ten o'clock 7 00:00:23,079 --> 00:00:27,080 Speaker 1: last night. It's got about ten million views now on YouTube. 8 00:00:27,400 --> 00:00:29,920 Speaker 1: So we pulled some of the sections that were the 9 00:00:29,920 --> 00:00:32,519 Speaker 1: most newsworthy that we thought, and we're going to go 10 00:00:32,560 --> 00:00:34,880 Speaker 1: ahead and start with some of them. The big, big 11 00:00:34,880 --> 00:00:38,159 Speaker 1: one that you're probably gonna hear from most media and 12 00:00:38,240 --> 00:00:43,720 Speaker 1: others is this one on the election from twenty Twentygan 13 00:00:44,680 --> 00:00:49,479 Speaker 1: asked Trump about specifically some of these quotes stolen election claims. 14 00:00:49,800 --> 00:00:52,720 Speaker 1: So let's take a listen and make sure the two 15 00:00:52,760 --> 00:00:54,920 Speaker 1: point speed's not on, and let's take a listen to 16 00:00:55,000 --> 00:00:55,720 Speaker 1: how that all went. 17 00:00:56,200 --> 00:00:58,280 Speaker 2: I want to talk about twenty twenty because you said 18 00:00:58,320 --> 00:01:02,800 Speaker 2: over and over again that robbed in twelve totally. How 19 00:01:02,840 --> 00:01:05,759 Speaker 2: do you think you webbed? Everybody always cuts you off. 20 00:01:05,840 --> 00:01:06,600 Speaker 3: I'm gonna do. 21 00:01:06,600 --> 00:01:08,000 Speaker 4: It, well, they not only cut you up. 22 00:01:08,040 --> 00:01:10,640 Speaker 5: Well, what I'd rather do is we'll do it another time, 23 00:01:10,720 --> 00:01:13,479 Speaker 5: and I would bring in papers that you would not believe, 24 00:01:13,640 --> 00:01:17,880 Speaker 5: so many different papers that election. 25 00:01:17,720 --> 00:01:20,319 Speaker 4: Was so crooked. It was the most crooked election. 26 00:01:20,400 --> 00:01:22,279 Speaker 3: Okay, but give me some examples of how. 27 00:01:22,280 --> 00:01:24,880 Speaker 4: Well, let's start. Let's start the top and the easy ones. 28 00:01:24,959 --> 00:01:25,240 Speaker 3: Okay. 29 00:01:25,400 --> 00:01:29,080 Speaker 5: They were supposed to get legislative approval to do the 30 00:01:29,120 --> 00:01:31,440 Speaker 5: things they did, and they didn't get it. In many 31 00:01:31,480 --> 00:01:32,720 Speaker 5: cases they didn't get it. 32 00:01:32,800 --> 00:01:36,119 Speaker 3: What things anything they made approval like. 33 00:01:36,120 --> 00:01:39,720 Speaker 5: For extensions of the voting, for voting earlier, for this, 34 00:01:40,040 --> 00:01:44,400 Speaker 5: all different things. By law, they had to get legislative approvals. 35 00:01:44,600 --> 00:01:47,000 Speaker 5: You don't have to go any further than that. If 36 00:01:47,000 --> 00:01:52,520 Speaker 5: you take a look at Wisconsin, they virtually admitted that 37 00:01:52,560 --> 00:01:57,240 Speaker 5: the election was rigged, robbed, and stolen. They wouldn't give 38 00:01:57,280 --> 00:02:02,240 Speaker 5: access in certain areas to the ballots because the ballots 39 00:02:02,280 --> 00:02:06,240 Speaker 5: weren't signed, they weren't originals they were We could go 40 00:02:06,320 --> 00:02:08,320 Speaker 5: into this stuff. We could go into the ballots, or 41 00:02:08,360 --> 00:02:09,600 Speaker 5: we could go into the overall. 42 00:02:09,800 --> 00:02:10,560 Speaker 4: I'll give you another one. 43 00:02:10,600 --> 00:02:16,000 Speaker 3: Are you going to present? Like? Do you do you think? 44 00:02:16,240 --> 00:02:21,480 Speaker 5: Let me just give you one before fifty one intelligence agents? 45 00:02:21,919 --> 00:02:24,680 Speaker 1: Should I stop it there? Because that's that's basically. 46 00:02:24,240 --> 00:02:28,840 Speaker 6: It, Yeah, are you going to present this ever? Well, 47 00:02:29,040 --> 00:02:30,000 Speaker 6: actually so it came. 48 00:02:29,840 --> 00:02:31,760 Speaker 1: Back to it twice. So there was more at the 49 00:02:31,919 --> 00:02:34,240 Speaker 1: end as well that they went into. But I mean 50 00:02:34,280 --> 00:02:36,639 Speaker 1: I thought that was, you know, in terms of that's 51 00:02:36,639 --> 00:02:38,919 Speaker 1: the one mainstream media and others are going to be 52 00:02:38,919 --> 00:02:41,040 Speaker 1: picking up on, and I mean genuinely was. It's a 53 00:02:41,040 --> 00:02:43,359 Speaker 1: problem for him because what you see there is that 54 00:02:43,400 --> 00:02:46,120 Speaker 1: even in a setting where Rogan's like, I won't even 55 00:02:46,120 --> 00:02:47,760 Speaker 1: cut you off, like you could just go into it, 56 00:02:48,000 --> 00:02:51,000 Speaker 1: he's like, well, I still have to look back. I mean, look, 57 00:02:51,000 --> 00:02:52,800 Speaker 1: I don't want to say this is like the entire interview. 58 00:02:52,840 --> 00:02:54,639 Speaker 1: This is obviously three hours, but we're trying to pick 59 00:02:54,680 --> 00:02:58,240 Speaker 1: out the most newsworthy bits here and specifically also the 60 00:02:58,280 --> 00:03:02,079 Speaker 1: ones that the campaign will try to highlight from the 61 00:03:02,160 --> 00:03:05,800 Speaker 1: Kamala Harris side, and because this is a political vulnerability 62 00:03:06,160 --> 00:03:08,880 Speaker 1: for Trump, that was, in my opinion, one of his 63 00:03:08,919 --> 00:03:09,640 Speaker 1: weaker moments. 64 00:03:10,160 --> 00:03:12,520 Speaker 7: Yeah, I mean it was also I mean, this was 65 00:03:13,800 --> 00:03:17,440 Speaker 7: maybe the most even like theoretically adversarial part of the interview. 66 00:03:17,520 --> 00:03:20,200 Speaker 7: Most of the interview was just kind of like bullshitting 67 00:03:20,200 --> 00:03:26,600 Speaker 7: about whales, psychologists and windmills, enjoy the one whatever, And 68 00:03:26,760 --> 00:03:28,919 Speaker 7: most of the interview too, As you said, this wasn't 69 00:03:28,960 --> 00:03:32,120 Speaker 7: the only place where stop the Steal came up. And frankly, 70 00:03:32,200 --> 00:03:35,800 Speaker 7: Rogan was like pretty sympathetic in most of the interactions 71 00:03:35,800 --> 00:03:38,760 Speaker 7: where he was like, oh yeah, like it's just like 72 00:03:38,880 --> 00:03:42,400 Speaker 7: Hillary totally deny the results. This is not unusual. Putting 73 00:03:42,440 --> 00:03:46,440 Speaker 7: the framing around what you're doing, which involved fake elector 74 00:03:46,520 --> 00:03:49,880 Speaker 7: slates and January sixth and you know, trying to get 75 00:03:49,920 --> 00:03:52,680 Speaker 7: the National Guard to seize ballot boxes, et cetera, is 76 00:03:52,760 --> 00:03:56,080 Speaker 7: just the same as Hillary, who conceded literally the next day. 77 00:03:56,520 --> 00:04:01,120 Speaker 7: So the framing overall was very like friendly. He also, 78 00:04:01,240 --> 00:04:03,120 Speaker 7: you know, indulged a lot about of course the Hunter 79 00:04:03,200 --> 00:04:05,640 Speaker 7: Biden laptop, and indulged a lot about well, of course 80 00:04:05,720 --> 00:04:08,839 Speaker 7: voter fraud is real and it's non zero blah blah blah. 81 00:04:08,880 --> 00:04:12,680 Speaker 7: But even within that context of a very friendly interviewer 82 00:04:13,040 --> 00:04:15,920 Speaker 7: and an audience that is overwhelmingly friendly too, you know, 83 00:04:15,960 --> 00:04:18,359 Speaker 7: he still kind of he still comes off looking like 84 00:04:18,920 --> 00:04:25,080 Speaker 7: a fool and a madman because he cannot explain anything 85 00:04:25,120 --> 00:04:27,479 Speaker 7: that makes sense about why he thinks there's fraud. He 86 00:04:27,600 --> 00:04:29,479 Speaker 7: just you know, throws a bunch of stuff out there. 87 00:04:29,600 --> 00:04:33,120 Speaker 7: It's relatively incoherent, says this thing about they were making 88 00:04:33,200 --> 00:04:35,799 Speaker 7: legislative changes, but they didn't go through the legislature. 89 00:04:35,800 --> 00:04:36,000 Speaker 3: I know. 90 00:04:36,040 --> 00:04:37,200 Speaker 7: One of the things I don't even know what he 91 00:04:37,279 --> 00:04:40,680 Speaker 7: was talking about with Wisconsin, but with Pennsylvania, one of 92 00:04:40,720 --> 00:04:42,599 Speaker 7: the things that they were pointing to is they had 93 00:04:43,080 --> 00:04:45,000 Speaker 7: changed some of the rules. You know, it was during 94 00:04:45,040 --> 00:04:47,920 Speaker 7: COVID to try to enable more mail in balloting. It 95 00:04:47,960 --> 00:04:51,840 Speaker 7: was a pencil, it was a Republican legislature that passed 96 00:04:51,880 --> 00:04:55,640 Speaker 7: those rules. So in any case, obviously there's no there there, 97 00:04:55,720 --> 00:04:58,360 Speaker 7: and Trump continues to insist that there is. There was 98 00:04:58,400 --> 00:05:00,800 Speaker 7: another interesting moment Sagra. I'm sure you caught as well, 99 00:05:00,839 --> 00:05:03,960 Speaker 7: where Trump said, like, you know, I lost by twenty 100 00:05:03,960 --> 00:05:05,960 Speaker 7: two thousand VOTs like Gus Well, he didn't lose, but 101 00:05:06,000 --> 00:05:08,160 Speaker 7: they said that I lost by twenty two thousands. 102 00:05:08,800 --> 00:05:11,080 Speaker 1: It was very Lex Friedman esque. Yeah, I mean the 103 00:05:12,240 --> 00:05:14,400 Speaker 1: reason why I think, and I'm sure Trump people will 104 00:05:14,440 --> 00:05:16,479 Speaker 1: be furious they're even starting on this, but look, this 105 00:05:16,560 --> 00:05:19,840 Speaker 1: is first of all consequential, right in terms of whatever 106 00:05:19,880 --> 00:05:22,440 Speaker 1: happens and what is it ten days now? But it's 107 00:05:22,520 --> 00:05:25,560 Speaker 1: just like if you've had four years, don't you think 108 00:05:25,600 --> 00:05:28,320 Speaker 1: you would come up with something better than I would 109 00:05:28,320 --> 00:05:29,680 Speaker 1: love to come back and. 110 00:05:29,680 --> 00:05:32,640 Speaker 6: Present with so many paperpers It's. 111 00:05:32,520 --> 00:05:34,960 Speaker 1: Like, come on, man, and like this again, this is 112 00:05:35,000 --> 00:05:40,760 Speaker 1: the part where it just is. It demonstrates the fundamental 113 00:05:40,760 --> 00:05:43,839 Speaker 1: weakness of trying to actually play in this in a 114 00:05:43,960 --> 00:05:46,160 Speaker 1: serious manner. At the end, he's like, well, there's this 115 00:05:46,200 --> 00:05:49,560 Speaker 1: phenomenal book by Molly Hemingway. But again, if you actually 116 00:05:49,600 --> 00:05:52,240 Speaker 1: read that Molly Hemingway book, or if you're familiar, the 117 00:05:52,320 --> 00:05:56,040 Speaker 1: Molly Hemingway book is specifically about big tech and influence 118 00:05:56,040 --> 00:05:57,680 Speaker 1: on the election. And by the way, that's a very 119 00:05:57,680 --> 00:06:01,680 Speaker 1: different conversation than talking about mailings or fraud or whatever. 120 00:06:01,760 --> 00:06:05,680 Speaker 1: So right, you know, but let's particulate that properly. So 121 00:06:05,760 --> 00:06:07,080 Speaker 1: I was like, bro, and look. 122 00:06:07,200 --> 00:06:10,440 Speaker 7: But how can you at this point when your biggest 123 00:06:10,480 --> 00:06:15,400 Speaker 7: donor is explicitly running a big tech platform on your behalf, 124 00:06:15,800 --> 00:06:18,520 Speaker 7: So like, spare me at this point your complaints about 125 00:06:18,520 --> 00:06:23,960 Speaker 7: the Hunter Biden laptop when at your request, Elon Musk 126 00:06:24,160 --> 00:06:26,800 Speaker 7: is censoring documents that you find to be unfavorable to 127 00:06:26,880 --> 00:06:31,080 Speaker 7: your campaign and running the algorithm, et cetera to benefit you. 128 00:06:31,600 --> 00:06:34,880 Speaker 7: So you know, if that constitutor stole an election last 129 00:06:34,880 --> 00:06:37,120 Speaker 7: time with Hunter Biden, laptop, like, tell me about what's 130 00:06:37,160 --> 00:06:37,960 Speaker 7: going on right now? 131 00:06:38,120 --> 00:06:41,240 Speaker 1: Yeah, and I mean again, it's it is. Also this 132 00:06:41,360 --> 00:06:44,720 Speaker 1: is too where like talent comes into play, like with 133 00:06:44,839 --> 00:06:46,760 Speaker 1: JD you know, and look, people know Jade and I 134 00:06:46,920 --> 00:06:49,440 Speaker 1: very vehemently disagree about this whole twenty twenty election thing, 135 00:06:49,640 --> 00:06:52,839 Speaker 1: but he smartly usually comes back to tech and or 136 00:06:52,920 --> 00:06:54,560 Speaker 1: censorhip because that's about as good as you're going to get. 137 00:06:54,560 --> 00:06:55,800 Speaker 1: And me, we're still not going to look great, but 138 00:06:56,080 --> 00:06:58,200 Speaker 1: that's good to get With Trump, as I always tell people, 139 00:06:58,240 --> 00:07:00,360 Speaker 1: he believes it, all right, he actually believed it, and 140 00:07:00,400 --> 00:07:01,960 Speaker 1: so this is the evidence. 141 00:07:02,240 --> 00:07:04,960 Speaker 7: Well, the last thing I don't I actually don't agree 142 00:07:05,000 --> 00:07:06,919 Speaker 7: that he believes it. I don't think that he really 143 00:07:06,960 --> 00:07:08,880 Speaker 7: believes No, I don't think so. I mean all the 144 00:07:08,920 --> 00:07:11,280 Speaker 7: people that told him over and over again that no, 145 00:07:11,400 --> 00:07:15,200 Speaker 7: there's no there there. I think that I don't actually 146 00:07:15,280 --> 00:07:18,600 Speaker 7: think that he believes this. But I think he just 147 00:07:18,640 --> 00:07:22,400 Speaker 7: can't admit that he lost because it goes so against 148 00:07:22,480 --> 00:07:25,840 Speaker 7: his image, et cetera, et cetera. The last thing I'll 149 00:07:25,840 --> 00:07:28,040 Speaker 7: point out, and you gestured towards the saga, is that 150 00:07:28,200 --> 00:07:30,880 Speaker 7: it's not just consequential because of what happened in the past. 151 00:07:30,880 --> 00:07:33,640 Speaker 7: It's also consequential because there, and we're going to cover 152 00:07:33,720 --> 00:07:36,120 Speaker 7: this this week. You know, they are laying groundwork for 153 00:07:36,560 --> 00:07:41,520 Speaker 7: if the election is close, especially and Trump loses, to 154 00:07:41,560 --> 00:07:44,080 Speaker 7: assert once again that it was stolen. I mean, he's 155 00:07:44,120 --> 00:07:47,960 Speaker 7: already making comments in that direction. At the McDonald's photo 156 00:07:47,960 --> 00:07:49,840 Speaker 7: op thing. He said, hey, you know, I'll accept the 157 00:07:49,880 --> 00:07:52,920 Speaker 7: election results if they're fair. But and then goes on 158 00:07:52,960 --> 00:07:54,920 Speaker 7: to say, hey, I'm I'm up in the polls and 159 00:07:54,960 --> 00:07:57,160 Speaker 7: I've got a ninety three percent chance of winning, which 160 00:07:57,200 --> 00:08:01,560 Speaker 7: is of course utterly preposterous. So you know, it's very 161 00:08:01,600 --> 00:08:03,800 Speaker 7: possible that he is going to win. But if he doesn't, 162 00:08:04,120 --> 00:08:07,640 Speaker 7: I think we're going to see another It's almost a guarantee. 163 00:08:07,640 --> 00:08:10,160 Speaker 7: We're going to see another organized effort to gaslight and 164 00:08:10,240 --> 00:08:13,320 Speaker 7: try to convince the country that it was stolen from 165 00:08:13,400 --> 00:08:16,960 Speaker 7: him yet again. And you know what the consequences of 166 00:08:17,000 --> 00:08:18,520 Speaker 7: that would be hard to say. 167 00:08:18,640 --> 00:08:21,120 Speaker 1: All Right, So this next part, this was interesting to me. 168 00:08:21,240 --> 00:08:24,920 Speaker 1: This was Trump on what he did wrong while he 169 00:08:25,000 --> 00:08:27,160 Speaker 1: was president. Let's take a listen to that. 170 00:08:28,640 --> 00:08:30,920 Speaker 5: The biggest mistake I made was I picked some people. 171 00:08:30,960 --> 00:08:33,880 Speaker 5: I picked some great people, you know, but you don't 172 00:08:33,880 --> 00:08:37,480 Speaker 5: think about that. I picked some people that I shouldn't 173 00:08:37,480 --> 00:08:40,960 Speaker 5: have picked. I picked a few people that I shouldn't 174 00:08:40,960 --> 00:08:41,360 Speaker 5: have picked. 175 00:08:41,520 --> 00:08:44,760 Speaker 3: And neo cons, Yeah, neocons. 176 00:08:44,360 --> 00:08:47,760 Speaker 5: Or bad people or disloyal people, or people that were 177 00:08:47,840 --> 00:08:50,480 Speaker 5: just people that people that advice. 178 00:08:50,640 --> 00:08:50,880 Speaker 3: Yeah. 179 00:08:50,960 --> 00:08:52,719 Speaker 4: I mean, look, I mean you're reading about him a 180 00:08:52,720 --> 00:08:53,440 Speaker 4: little bit today. 181 00:08:54,280 --> 00:08:56,560 Speaker 5: A guy like Kelly who is a bully, a bully, 182 00:08:56,559 --> 00:08:57,880 Speaker 5: but a week a weak person. 183 00:08:57,960 --> 00:08:58,800 Speaker 4: You know, you know more. 184 00:08:58,679 --> 00:09:01,840 Speaker 5: About bullies than anybody around because you deal in a 185 00:09:01,880 --> 00:09:04,840 Speaker 5: certain sport where the bullies are exposed very quickly. 186 00:09:05,240 --> 00:09:07,640 Speaker 4: But you know, uh, he's bad. 187 00:09:08,320 --> 00:09:10,680 Speaker 5: Bolton was an idiot, but he was great for me 188 00:09:10,800 --> 00:09:13,640 Speaker 5: because I go in with a guy like a John Bolton. 189 00:09:13,840 --> 00:09:14,680 Speaker 4: You know John Bolton. 190 00:09:14,679 --> 00:09:16,800 Speaker 5: A friend of mine called called me up, I was 191 00:09:16,840 --> 00:09:19,400 Speaker 5: picking Bolton. He's a very smart guy. His name is 192 00:09:19,400 --> 00:09:22,040 Speaker 5: Phil Rouffin. He's a very rich guy from Las Vegas, 193 00:09:22,120 --> 00:09:24,920 Speaker 5: one of the he's a great card player. He doesn't 194 00:09:24,920 --> 00:09:26,600 Speaker 5: play cards, but he's a great part. You know, he's 195 00:09:26,640 --> 00:09:29,920 Speaker 5: just a natural got poker sense, right, you know, a 196 00:09:30,000 --> 00:09:34,520 Speaker 5: good old poker sense. And Phil Rouffin is very, very 197 00:09:34,640 --> 00:09:37,559 Speaker 5: wise kind of a guy and very one of the 198 00:09:37,640 --> 00:09:42,520 Speaker 5: richest people around and has had great success and understands people. 199 00:09:42,559 --> 00:09:46,120 Speaker 5: So it was in that I was picking Bolton or 200 00:09:46,120 --> 00:09:48,400 Speaker 5: I picked Bolton. He called up, he said, don't pick him. 201 00:09:48,760 --> 00:09:51,920 Speaker 5: Why he's a bad guy. Now he wasn't in politics 202 00:09:51,920 --> 00:09:54,040 Speaker 5: at all, He's in various businesses. 203 00:09:55,080 --> 00:09:59,000 Speaker 4: He said, he's a bad guy. He's just it always 204 00:09:59,040 --> 00:10:03,000 Speaker 4: works out with that guy. I said, I wish you'd 205 00:10:03,040 --> 00:10:04,800 Speaker 4: told me this two weeks. I already hired him. You 206 00:10:04,800 --> 00:10:07,760 Speaker 4: know he's here, and he was right. 207 00:10:07,840 --> 00:10:12,000 Speaker 1: But all right, So I wanted to share that part 208 00:10:12,520 --> 00:10:16,760 Speaker 1: because there's two things that go on here. Yeah. Number one, 209 00:10:17,120 --> 00:10:20,160 Speaker 1: it gives us some insight into the hiring decisions. I 210 00:10:20,160 --> 00:10:22,880 Speaker 1: guess of the past, which was basically like fielding calls 211 00:10:22,920 --> 00:10:23,959 Speaker 1: from whoever. 212 00:10:24,000 --> 00:10:26,840 Speaker 6: Phil is random rich people Phil. 213 00:10:26,400 --> 00:10:28,160 Speaker 1: Whoever has card sense. By the way, he's looking for 214 00:10:28,280 --> 00:10:32,320 Speaker 1: card sense is the terminology. But you know, second is 215 00:10:32,400 --> 00:10:36,000 Speaker 1: this acknowledgment about how bad things went in the first 216 00:10:36,120 --> 00:10:39,920 Speaker 1: administration and specifically you know Trump, you know Joe was 217 00:10:39,920 --> 00:10:42,160 Speaker 1: actually trying to get him on neo cons and even 218 00:10:42,240 --> 00:10:45,320 Speaker 1: to try to list people out. But this remains if 219 00:10:45,360 --> 00:10:47,319 Speaker 1: Trump does win, there's a decent chance that he's going 220 00:10:47,360 --> 00:10:50,240 Speaker 1: to win. This is the singular question around what is 221 00:10:50,320 --> 00:10:53,280 Speaker 1: going to happen the next time around, because, as people 222 00:10:53,320 --> 00:10:56,560 Speaker 1: saw by his own admission, he literally was like I 223 00:10:56,600 --> 00:10:58,520 Speaker 1: got there and I didn't know what I was doing, 224 00:10:58,800 --> 00:11:00,920 Speaker 1: and a bunch of people call me and they ended 225 00:11:00,960 --> 00:11:03,240 Speaker 1: up wanting the job, and I ended up hiring them, 226 00:11:03,480 --> 00:11:06,520 Speaker 1: And like this time around, it's like, well, what are 227 00:11:06,559 --> 00:11:09,600 Speaker 1: the assurances that it is actually different? Here? You could 228 00:11:09,600 --> 00:11:11,640 Speaker 1: look on two sides of the coin. You've got JD. 229 00:11:12,040 --> 00:11:14,480 Speaker 1: You had Project twenty twenty five, but now they say 230 00:11:14,480 --> 00:11:17,640 Speaker 1: they won't hire anybody from Project twenty twenty five. You've 231 00:11:17,720 --> 00:11:21,560 Speaker 1: got Johnny McEntee, you've got Don Junior, but you also 232 00:11:21,559 --> 00:11:24,480 Speaker 1: have this thing called the America First Project. And so 233 00:11:24,760 --> 00:11:27,480 Speaker 1: I enjoyed this clip for a couple of reasons. The 234 00:11:27,559 --> 00:11:31,640 Speaker 1: internal psychology of just like how exactly the staffing administration 235 00:11:31,760 --> 00:11:33,839 Speaker 1: was made last night, which was obvious to everybody as 236 00:11:33,840 --> 00:11:36,079 Speaker 1: we were covering it, and you know it always a 237 00:11:36,120 --> 00:11:38,760 Speaker 1: fundamental question was people being like, hey, why do you 238 00:11:38,840 --> 00:11:41,560 Speaker 1: keep hiring people who don't agree with you? And it's 239 00:11:41,679 --> 00:11:44,800 Speaker 1: like this was a good view. If I recall with Bolton, 240 00:11:44,840 --> 00:11:47,120 Speaker 1: he liked Bolton because he was on Fox News, but 241 00:11:47,240 --> 00:11:50,079 Speaker 1: a huge part of the at least finally I will 242 00:11:50,200 --> 00:11:52,720 Speaker 1: admit it now is one of the reasons why a 243 00:11:52,720 --> 00:11:54,640 Speaker 1: lot of things that didn't get done last time that 244 00:11:54,679 --> 00:11:56,719 Speaker 1: he said he wanted to get done was because he 245 00:11:56,720 --> 00:11:58,880 Speaker 1: would hire people who actively did not agree with him. 246 00:11:58,920 --> 00:12:01,480 Speaker 1: So whether he's learned or lesson not obviously is an 247 00:12:01,520 --> 00:12:03,839 Speaker 1: open question. But I did think at the very least 248 00:12:03,880 --> 00:12:05,080 Speaker 1: it was an interesting answer. 249 00:12:05,520 --> 00:12:07,960 Speaker 7: Well, so, you know, a lot of people are sharing 250 00:12:08,000 --> 00:12:10,800 Speaker 7: this on the right of like see Trump regrets hiring 251 00:12:10,840 --> 00:12:14,560 Speaker 7: these neocons, and it's like, it's actually, if you listen 252 00:12:14,600 --> 00:12:17,800 Speaker 7: to what he says, Joe suggests was the problem that 253 00:12:17,800 --> 00:12:21,360 Speaker 7: they're neocons and Trump times in Yeah, but they were 254 00:12:21,679 --> 00:12:26,520 Speaker 7: bad and disloyal right for him. It's not about John 255 00:12:26,559 --> 00:12:29,960 Speaker 7: Bolton had a you know, bad ideology that disagreed with him, 256 00:12:30,040 --> 00:12:34,160 Speaker 7: or John Kelly or you know, Madis or Millie or 257 00:12:34,360 --> 00:12:37,880 Speaker 7: Mike Pence. It's that they were disloyal that in the 258 00:12:37,960 --> 00:12:40,280 Speaker 7: end they criticized him and they came down on the 259 00:12:40,320 --> 00:12:42,640 Speaker 7: wrong side of the only issue that matters to Donald Trump, 260 00:12:42,640 --> 00:12:45,360 Speaker 7: which is how do you feel about Donald Trump? How 261 00:12:45,400 --> 00:12:48,240 Speaker 7: do I know that? Because in the same interview, when 262 00:12:48,240 --> 00:12:50,560 Speaker 7: he's asked about, oh my cat just arrived, when he's 263 00:12:50,640 --> 00:12:55,320 Speaker 7: asked about, you know, the releasing the JFK files. He 264 00:12:55,440 --> 00:12:58,720 Speaker 7: goes on and on about how great and wonderful Mike 265 00:12:58,760 --> 00:13:01,520 Speaker 7: Pompeio is and how much he loves Mike Pompeo, who, 266 00:13:01,520 --> 00:13:03,520 Speaker 7: by the way, is the guy who wanted Julian Assans 267 00:13:03,600 --> 00:13:06,680 Speaker 7: to literally be assassinated, and who is as much of 268 00:13:06,679 --> 00:13:08,120 Speaker 7: a Neocon as. 269 00:13:08,000 --> 00:13:09,720 Speaker 6: You could possibly get. 270 00:13:10,040 --> 00:13:15,760 Speaker 7: But there's Kitty, that's Salem, I'm mister. But because he 271 00:13:15,960 --> 00:13:18,800 Speaker 7: is correct on the only issue that ultimately matters, he's 272 00:13:18,840 --> 00:13:20,240 Speaker 7: still in Trump's good graces. 273 00:13:20,400 --> 00:13:20,560 Speaker 3: You know. 274 00:13:20,600 --> 00:13:23,520 Speaker 7: Another example I'll give you is that they confirmed Tom 275 00:13:23,559 --> 00:13:27,319 Speaker 7: Cotton is on the list of potential secretaries of Defense. 276 00:13:27,920 --> 00:13:33,280 Speaker 7: Tom Cotton is the most hawkish Neocon person in all 277 00:13:33,320 --> 00:13:38,079 Speaker 7: of elected Washington DC period. So that's why you shouldn't like, 278 00:13:38,200 --> 00:13:40,240 Speaker 7: I'm not saying you, I'm saying people out there that 279 00:13:40,280 --> 00:13:43,640 Speaker 7: are sharing this as like, oh, look, he understands we're 280 00:13:43,679 --> 00:13:45,199 Speaker 7: not gonna have neo cons this time. 281 00:13:45,559 --> 00:13:48,439 Speaker 6: Like you're fooling yourself. He's talking about. 282 00:13:48,200 --> 00:13:52,520 Speaker 7: He's upset with these people because they ultimately criticized him. 283 00:13:52,960 --> 00:13:54,559 Speaker 6: That's it. It had nothing to. 284 00:13:54,520 --> 00:13:57,840 Speaker 7: Do with their ideology or you know, blocking him on 285 00:13:57,920 --> 00:14:01,000 Speaker 7: something that was important to him. They got crosswise on 286 00:14:01,120 --> 00:14:03,440 Speaker 7: the only thing that matters to him. And you know, 287 00:14:03,520 --> 00:14:06,480 Speaker 7: so you should not have any expectations that he's not 288 00:14:06,600 --> 00:14:09,760 Speaker 7: going to go ahead and chalk the next administration full 289 00:14:09,760 --> 00:14:14,160 Speaker 7: of neo cons once again, because he's already floating knew 290 00:14:14,200 --> 00:14:16,800 Speaker 7: neocon names to be part of the new administration. 291 00:14:16,920 --> 00:14:19,400 Speaker 1: You should be very realistic, folks. As laid out in 292 00:14:19,440 --> 00:14:22,400 Speaker 1: my monologue, the case again, the only case for why 293 00:14:22,400 --> 00:14:25,040 Speaker 1: it wouldn't happen is if somebody inside actually tried to 294 00:14:25,400 --> 00:14:27,360 Speaker 1: make sure. But the Tom Cotton thing on the list 295 00:14:27,400 --> 00:14:30,360 Speaker 1: that was very, very disturbing. The next one that I 296 00:14:30,400 --> 00:14:35,200 Speaker 1: wanted to share here was an interesting clip with Drogan 297 00:14:35,360 --> 00:14:40,880 Speaker 1: talking about Kamala Harris and this was specifically Trump brought 298 00:14:40,960 --> 00:14:44,640 Speaker 1: up here. He was like, can you imagine Kamala doing 299 00:14:44,840 --> 00:14:48,680 Speaker 1: this interview with Joe Rogan? And he was like, well, yeah, 300 00:14:48,720 --> 00:14:51,080 Speaker 1: I can. I actually think God would have a conversation 301 00:14:51,160 --> 00:14:53,360 Speaker 1: with her. So this gets to the whole like should 302 00:14:53,400 --> 00:14:55,440 Speaker 1: Kamala have done Rogan or not? Let's take a listen. 303 00:14:55,960 --> 00:14:59,200 Speaker 4: Can you imagine Kamala doing this show? I could imagine 304 00:14:59,200 --> 00:15:01,760 Speaker 4: he SA should be laying on the floor. 305 00:15:01,800 --> 00:15:03,800 Speaker 2: She was supposed to do it, and she might still 306 00:15:03,840 --> 00:15:06,080 Speaker 2: do it, and I hope she does. I will talk 307 00:15:06,120 --> 00:15:07,720 Speaker 2: to her like a human being. I would try to 308 00:15:07,840 --> 00:15:08,280 Speaker 2: put this. 309 00:15:08,720 --> 00:15:12,320 Speaker 4: Interview with you. I hope she does, because it would 310 00:15:12,360 --> 00:15:12,880 Speaker 4: be a mess. 311 00:15:13,120 --> 00:15:16,480 Speaker 5: She'd be laying on the floor, She'd be saying, Colin 312 00:15:16,600 --> 00:15:17,120 Speaker 5: the medics. 313 00:15:17,200 --> 00:15:19,520 Speaker 2: I think we'd have a fine conversation. I think I'd 314 00:15:19,560 --> 00:15:21,200 Speaker 2: be able to talk to her. I wouldn't try to 315 00:15:21,280 --> 00:15:23,160 Speaker 2: interview her. I just try to have a conversation with 316 00:15:23,200 --> 00:15:25,320 Speaker 2: her and hopefully get to know her as a human being. 317 00:15:25,440 --> 00:15:27,840 Speaker 2: That was my goal having her on, trying to get 318 00:15:27,840 --> 00:15:29,960 Speaker 2: her to express herself, just as I don't know if 319 00:15:29,960 --> 00:15:32,960 Speaker 2: these I don't think these formats are good. I don't 320 00:15:33,000 --> 00:15:35,840 Speaker 2: think that two people. First of all, I hate the 321 00:15:35,880 --> 00:15:38,200 Speaker 2: idea of the presidential debates because I hate the idea 322 00:15:38,240 --> 00:15:38,480 Speaker 2: of it. 323 00:15:38,560 --> 00:15:40,640 Speaker 1: Okay, it goes into the debate there, but that was 324 00:15:40,680 --> 00:15:43,840 Speaker 1: specifically about having Kamala on. So Kamala is also going 325 00:15:43,880 --> 00:15:46,120 Speaker 1: on a podcast. She's going on the Shannon Sharp podcast, 326 00:15:46,640 --> 00:15:48,840 Speaker 1: which actually is quite big. People might remember it from 327 00:15:48,880 --> 00:15:50,960 Speaker 1: the the Cat Williams viral. 328 00:15:51,720 --> 00:15:54,000 Speaker 6: Right, Yeah, it is actually have a big audience. 329 00:15:54,040 --> 00:15:56,440 Speaker 1: No, it's it's very big, and obviously, look it's you know, 330 00:15:56,440 --> 00:15:58,920 Speaker 1: it's a big blackmail audience. That's what's they're trying to 331 00:15:58,960 --> 00:15:59,320 Speaker 1: go after. 332 00:15:59,440 --> 00:16:01,480 Speaker 6: But okay, so the young men in general. 333 00:16:01,760 --> 00:16:04,880 Speaker 1: Yeah, my take after watching the Trump Rogan interview actually 334 00:16:05,080 --> 00:16:07,280 Speaker 1: was that Kamalas should have done it, because I mean 335 00:16:07,320 --> 00:16:09,680 Speaker 1: it's pretty clear when he was like, let her have 336 00:16:09,680 --> 00:16:12,840 Speaker 1: a conversation, he would let her just talk. I don't 337 00:16:12,840 --> 00:16:14,600 Speaker 1: think it would have gone badly for her, you know, 338 00:16:14,680 --> 00:16:17,760 Speaker 1: I still I really don't. I really believe that, especially 339 00:16:17,840 --> 00:16:20,000 Speaker 1: look look at the posture you know that Rogan took. 340 00:16:20,040 --> 00:16:22,280 Speaker 1: And in general with Rogan, like whenever he talks with people, 341 00:16:22,440 --> 00:16:24,800 Speaker 1: he's not the most challenging person. He might ask a 342 00:16:24,880 --> 00:16:26,640 Speaker 1: challenging question per se, but he's going to give the 343 00:16:26,680 --> 00:16:29,080 Speaker 1: space to talk. And he's not Brett Baer at least 344 00:16:29,320 --> 00:16:31,440 Speaker 1: is what I would say. So if I watching this 345 00:16:31,920 --> 00:16:34,360 Speaker 1: how and how this went down, I actually don't think 346 00:16:34,360 --> 00:16:36,080 Speaker 1: it would have gone badly for her. I'm curious what 347 00:16:36,120 --> 00:16:36,440 Speaker 1: you think. 348 00:16:36,600 --> 00:16:38,440 Speaker 6: Yeah, I agree, she should, she should do it. 349 00:16:39,000 --> 00:16:40,920 Speaker 7: She I mean, it looks like they've turned it down 350 00:16:40,960 --> 00:16:44,720 Speaker 7: and her dude Ian Sam's les on her campaign, he 351 00:16:44,760 --> 00:16:47,720 Speaker 7: said they're not going to do it. I listen, I 352 00:16:47,800 --> 00:16:51,400 Speaker 7: understand why because it's definitely more fraud and risky situation 353 00:16:51,560 --> 00:16:54,640 Speaker 7: for her because I do think Rogan would be somewhat 354 00:16:54,640 --> 00:16:55,840 Speaker 7: more adversarial with her. 355 00:16:55,840 --> 00:16:56,800 Speaker 6: At least there's a risk. 356 00:16:56,880 --> 00:16:59,600 Speaker 1: Yeah, I mean several things that he disagreed with her on, 357 00:16:59,680 --> 00:17:03,120 Speaker 1: So the idea that it would be as friendly, I mean, look, Joe, 358 00:17:03,520 --> 00:17:06,359 Speaker 1: he can whatever he wants. It's clear throughout this like 359 00:17:06,400 --> 00:17:08,399 Speaker 1: there's a lot of things that he disagrees with the 360 00:17:08,440 --> 00:17:09,960 Speaker 1: modern left about and he brought a lot of that 361 00:17:10,000 --> 00:17:11,320 Speaker 1: out the Trump and it was sad. 362 00:17:11,480 --> 00:17:11,560 Speaker 5: No. 363 00:17:11,640 --> 00:17:13,200 Speaker 7: I mean, he came off as just like, you know, 364 00:17:13,320 --> 00:17:15,399 Speaker 7: partisan pro Trump guy. That's how he came off. And 365 00:17:15,440 --> 00:17:18,280 Speaker 7: I think that's probably pretty fair assessment at this point. 366 00:17:18,320 --> 00:17:20,000 Speaker 7: And that's also who his audience is. You know, we've 367 00:17:20,040 --> 00:17:21,760 Speaker 7: seen the polling. It's like sixty five percent of his 368 00:17:21,800 --> 00:17:25,680 Speaker 7: audiences pro Trump. So you know, it's also like responding 369 00:17:25,720 --> 00:17:27,800 Speaker 7: to where his audience wants him to be. But all 370 00:17:27,800 --> 00:17:31,680 Speaker 7: that being said, you know, Trump and Kamala are engaged 371 00:17:31,920 --> 00:17:36,600 Speaker 7: in tactically two different goals at this point. Trump's goal 372 00:17:36,920 --> 00:17:40,520 Speaker 7: is to humanize himself to you know, try to buck 373 00:17:40,560 --> 00:17:43,480 Speaker 7: the like. You know, multiple people who serve with him 374 00:17:43,480 --> 00:17:46,280 Speaker 7: coming out being like, hey, this guy, he is a fascist, 375 00:17:46,680 --> 00:17:49,720 Speaker 7: and also to undercut his own comments, like he just 376 00:17:49,760 --> 00:17:53,639 Speaker 7: sent out a very you know, disturbing truth about the 377 00:17:53,960 --> 00:17:57,080 Speaker 7: season assist and I'm going to go after all my opponents, 378 00:17:57,200 --> 00:18:00,840 Speaker 7: donors and supporters, etctera, et cetera. So he's trying to 379 00:18:01,160 --> 00:18:03,879 Speaker 7: soften that with hey, look at me, I'm just one 380 00:18:03,880 --> 00:18:07,160 Speaker 7: of the boys, like hanging out on your favorite podcast, Kamala. 381 00:18:07,880 --> 00:18:09,399 Speaker 7: And this was why I want to give credit to 382 00:18:09,440 --> 00:18:11,080 Speaker 7: Weigel who really laid out this dichotomy. 383 00:18:11,160 --> 00:18:12,080 Speaker 6: It really landed with me. 384 00:18:12,680 --> 00:18:16,400 Speaker 7: Kamala has to cross this threshold of like we can 385 00:18:16,480 --> 00:18:19,159 Speaker 7: see her as commander in chief, and you know, for 386 00:18:19,200 --> 00:18:22,280 Speaker 7: anyone who hasn't been president before, that's always a challenge. 387 00:18:22,560 --> 00:18:24,720 Speaker 7: And of course because she is a woman, and you know, 388 00:18:24,800 --> 00:18:28,520 Speaker 7: we've never had a female president, that makes the part 389 00:18:28,560 --> 00:18:32,600 Speaker 7: of Americans imagining that even more challenging. And she also 390 00:18:32,680 --> 00:18:35,800 Speaker 7: has not done herself any favors at certain points, is 391 00:18:35,840 --> 00:18:37,920 Speaker 7: coming off as a lightweight and making it even harder 392 00:18:37,920 --> 00:18:40,720 Speaker 7: for people to imagine her. So that was the decision, 393 00:18:41,080 --> 00:18:44,200 Speaker 7: that was the thinking behind things like going on with Brettbaer, 394 00:18:44,600 --> 00:18:47,880 Speaker 7: which you know where she's like, I'm tough, I can 395 00:18:48,000 --> 00:18:50,359 Speaker 7: go into the lions Den and I can take whatever 396 00:18:50,359 --> 00:18:53,040 Speaker 7: you have to throw at me. And I think doing 397 00:18:53,080 --> 00:18:58,239 Speaker 7: a Rogan interview would send a similar message of you know, 398 00:18:58,480 --> 00:19:00,679 Speaker 7: I know this is not friendly territory for me at 399 00:19:00,680 --> 00:19:03,280 Speaker 7: this point. I know there's an audience here that's deeply 400 00:19:03,280 --> 00:19:05,640 Speaker 7: skeptical of me, but I don't care. I'm not afraid, 401 00:19:05,840 --> 00:19:08,560 Speaker 7: like I can go in. So for Trump, sitting with 402 00:19:08,640 --> 00:19:12,360 Speaker 7: Rogan accomplishes his goal of like humanizing him blah blah blah. 403 00:19:12,440 --> 00:19:16,520 Speaker 7: For Kamala, it could accomplish that goal of I'm not afraid. 404 00:19:16,800 --> 00:19:20,440 Speaker 7: I'm tough, I can handle myself even in difficult circumstances. 405 00:19:20,480 --> 00:19:22,440 Speaker 6: So I agree with you it's a mistake. 406 00:19:22,600 --> 00:19:25,760 Speaker 7: We're going to talk a little bit more later after 407 00:19:25,760 --> 00:19:27,399 Speaker 7: we get through all the clips about the sort of 408 00:19:27,560 --> 00:19:31,159 Speaker 7: meta thing, meta like podcast election thing. But I do 409 00:19:31,359 --> 00:19:34,919 Speaker 7: just have to say the podcast election has left me 410 00:19:35,040 --> 00:19:39,240 Speaker 7: very depressed, because, look, it'd be one thing if, you know, 411 00:19:39,720 --> 00:19:43,439 Speaker 7: conversation with Rogan and THEO Vaughn and Shannon Sharp and 412 00:19:43,480 --> 00:19:46,000 Speaker 7: Alex Cooper and whatever, if that was part of an 413 00:19:46,040 --> 00:19:52,560 Speaker 7: ecosystem in which many adversarial, difficult conversations were also happening. 414 00:19:52,960 --> 00:19:55,080 Speaker 7: But especially on the Trump side, Like, when is the 415 00:19:55,160 --> 00:19:58,280 Speaker 7: last time he sat for an adversarial interview if you 416 00:19:58,280 --> 00:20:01,280 Speaker 7: don't count I mean the debate, which you know, it's 417 00:20:01,320 --> 00:20:03,240 Speaker 7: a different thing, and he wouldn't agree to any more 418 00:20:03,280 --> 00:20:06,240 Speaker 7: debates after the first one. I think it might be 419 00:20:06,320 --> 00:20:08,840 Speaker 7: that back in what July when he did that National 420 00:20:08,840 --> 00:20:11,760 Speaker 7: Association of Black Journalists event, that's the last time I 421 00:20:11,800 --> 00:20:17,440 Speaker 7: remember him sitting for an adversarial interview. So that means 422 00:20:17,440 --> 00:20:21,399 Speaker 7: that these things are not like compliments to you know, Oh, 423 00:20:21,440 --> 00:20:23,399 Speaker 7: let's get to know them a little bit better and 424 00:20:23,480 --> 00:20:27,119 Speaker 7: who they are underneath the hood. This is it, Like, 425 00:20:27,840 --> 00:20:31,960 Speaker 7: so you're putting the you know, traditional roles served by 426 00:20:32,119 --> 00:20:34,919 Speaker 7: like journalists whose job it is to learn how to 427 00:20:35,280 --> 00:20:37,960 Speaker 7: you know, conduct adversarial interviews. And we've got all kinds 428 00:20:38,000 --> 00:20:40,080 Speaker 7: of like, you know, grievances with some of these journalists 429 00:20:40,119 --> 00:20:42,040 Speaker 7: and how they conduct themselves and what they focus on. 430 00:20:42,480 --> 00:20:44,479 Speaker 7: But you know, I think it's fair to say, like 431 00:20:44,600 --> 00:20:47,600 Speaker 7: Anderson Cooper on CNN, whatever we think of him, that 432 00:20:47,720 --> 00:20:50,800 Speaker 7: town hall with Kamala included much more adversarial. 433 00:20:50,800 --> 00:20:53,160 Speaker 6: It was much more edifying in terms of how she. 434 00:20:53,080 --> 00:20:56,720 Speaker 7: Would actually conduct herself, what she's actually focused on, which 435 00:20:56,880 --> 00:21:00,679 Speaker 7: included both audience questions and Anderson Cooper asked asking difficult 436 00:21:00,720 --> 00:21:03,199 Speaker 7: follow ups that his own audience was honestly very unhappy with. 437 00:21:03,359 --> 00:21:06,320 Speaker 1: They got furious this. Yeah, it's it's funny. You saw 438 00:21:06,320 --> 00:21:08,359 Speaker 1: that with Charlemagne, right. I mean, look, yeah, if we 439 00:21:08,400 --> 00:21:10,600 Speaker 1: want to talk to meta, it is true, you know, 440 00:21:10,800 --> 00:21:14,439 Speaker 1: open kimono here. I tried very hard to interview Donald Trump, 441 00:21:15,040 --> 00:21:17,880 Speaker 1: you know, as part of this whole podcast, you know thing, 442 00:21:17,960 --> 00:21:19,680 Speaker 1: and at the end of the day, it just looks 443 00:21:19,720 --> 00:21:22,399 Speaker 1: like it's not going to happen. And that's fine. I 444 00:21:22,480 --> 00:21:24,240 Speaker 1: did point out, you know, I interviewed him on four 445 00:21:24,280 --> 00:21:27,240 Speaker 1: separate occasions when I was a White House correspondent. But 446 00:21:27,480 --> 00:21:29,440 Speaker 1: I mean, if I'm looking at it from their perspective, 447 00:21:29,680 --> 00:21:31,960 Speaker 1: they don't really want that right because they want the 448 00:21:32,040 --> 00:21:34,840 Speaker 1: humanization and you know, you know, you could call me 449 00:21:34,920 --> 00:21:38,480 Speaker 1: partisan or whatever, but I would actually have asked some 450 00:21:38,520 --> 00:21:43,680 Speaker 1: pretty serious stuff about Ukraine, foreign policy, social security, the economy. 451 00:21:43,840 --> 00:21:46,160 Speaker 1: You know, I wouldn't commit necessarily like cut him off 452 00:21:46,160 --> 00:21:48,800 Speaker 1: the way that NBC News or whatever would want me to. 453 00:21:48,840 --> 00:21:50,399 Speaker 1: But I'm not going to just sit there and like 454 00:21:50,520 --> 00:21:52,840 Speaker 1: let some of this stuff right go by. And it 455 00:21:52,880 --> 00:21:55,400 Speaker 1: was clear I mean, it has become clear now that 456 00:21:55,400 --> 00:21:57,880 Speaker 1: that that you know, they just didn't want that to happen. Again, 457 00:21:57,960 --> 00:21:59,840 Speaker 1: I get it. I know if I'm running for office, 458 00:22:00,119 --> 00:22:03,040 Speaker 1: probably what you want as well. Coming back to what 459 00:22:03,080 --> 00:22:04,600 Speaker 1: you said, and I do think this is the most 460 00:22:04,600 --> 00:22:08,520 Speaker 1: important analytical framework is that. And I brought this up, 461 00:22:08,560 --> 00:22:10,639 Speaker 1: you know, credit to this guy Ruben who I stole 462 00:22:10,640 --> 00:22:13,080 Speaker 1: it from. But you know, the Trump McDonald's thing and 463 00:22:13,200 --> 00:22:18,080 Speaker 1: Rogan interview talking about whale psychology. You cannot imagine a 464 00:22:18,119 --> 00:22:21,199 Speaker 1: person in the McDonald's interview and on Rogan just fucking 465 00:22:21,200 --> 00:22:25,040 Speaker 1: around talking about ear scars as a hitlaryan dictator, like 466 00:22:25,359 --> 00:22:29,080 Speaker 1: it's just simply not possible. And that is the card 467 00:22:29,119 --> 00:22:31,960 Speaker 1: he Rubin calls it like Trump being a cartoon, and 468 00:22:32,200 --> 00:22:35,320 Speaker 1: that really is like both his political superpower. And I 469 00:22:35,320 --> 00:22:38,760 Speaker 1: think it fundamentally explains a lot of the you know, 470 00:22:38,800 --> 00:22:41,560 Speaker 1: everyone's like, oh, well, nothing sticks to him. I'm like, yeah, 471 00:22:41,600 --> 00:22:45,240 Speaker 1: this is why. It's because the camp, the celebrity, the 472 00:22:45,320 --> 00:22:48,760 Speaker 1: humanization here now with the podcast format and others, and 473 00:22:48,880 --> 00:22:52,560 Speaker 1: especially in the absence of some of the stuff that 474 00:22:52,600 --> 00:22:54,760 Speaker 1: you were talking about, especially the averagar and also look, 475 00:22:54,800 --> 00:22:56,240 Speaker 1: it's been gone for a long time. It has not 476 00:22:56,280 --> 00:22:58,360 Speaker 1: been in office, so a lot of people don't really 477 00:22:58,359 --> 00:23:00,600 Speaker 1: remember what it was like, you know, when behind the 478 00:23:00,640 --> 00:23:03,159 Speaker 1: podium or in the in the oval or if they do, 479 00:23:03,400 --> 00:23:05,439 Speaker 1: a very different perhaps view than what it was like 480 00:23:05,440 --> 00:23:08,360 Speaker 1: to actually live through at the time. So I think 481 00:23:08,400 --> 00:23:10,199 Speaker 1: that is one of the major things and one of 482 00:23:10,200 --> 00:23:12,399 Speaker 1: the reasons why I think this will probably be his 483 00:23:12,480 --> 00:23:14,720 Speaker 1: last podcast interview and from here on now it's just 484 00:23:14,720 --> 00:23:16,600 Speaker 1: going to be a stretch get out the vote and 485 00:23:16,920 --> 00:23:19,119 Speaker 1: the rallies. So and even at the rallies, you know, 486 00:23:19,160 --> 00:23:22,320 Speaker 1: we see these these all these ave Maria and the 487 00:23:22,520 --> 00:23:25,200 Speaker 1: opera and the dancing. I'm giggling because I mean, what 488 00:23:25,240 --> 00:23:29,159 Speaker 1: else can you do? It's funny, and that is fundamentally 489 00:23:29,840 --> 00:23:33,119 Speaker 1: not in line with what Kamala's closing message will be 490 00:23:33,640 --> 00:23:38,360 Speaker 1: about January sixth, about fascism, and I do think it's 491 00:23:38,440 --> 00:23:41,080 Speaker 1: very effective as a counter It's one of the reasons 492 00:23:41,080 --> 00:23:42,959 Speaker 1: why I wouldn't do it if I were her, especially 493 00:23:42,960 --> 00:23:45,760 Speaker 1: the closing argument. I mean, just based on all the polling, 494 00:23:45,880 --> 00:23:47,399 Speaker 1: all that, you know, the stuff that Matt carp and 495 00:23:47,400 --> 00:23:49,520 Speaker 1: all them have put out there, but they seem to 496 00:23:49,520 --> 00:23:51,600 Speaker 1: believe it. I mean, I'm sure we'll cover in New 497 00:23:51,680 --> 00:23:54,160 Speaker 1: York Times Sienna the final poll, Crystal. But I don't 498 00:23:54,160 --> 00:23:55,600 Speaker 1: know if you saw, like you know, in terms of 499 00:23:55,600 --> 00:23:58,040 Speaker 1: this strategy about getting Republicans not to vote for Trump, 500 00:23:58,119 --> 00:24:00,760 Speaker 1: like there are less Republicans not voting for Trump, been 501 00:24:00,760 --> 00:24:03,640 Speaker 1: Democrats not voting for Kamala Harris. I mean, what are 502 00:24:03,640 --> 00:24:04,240 Speaker 1: we talking. 503 00:24:04,040 --> 00:24:07,600 Speaker 7: About here as an early critic of the Liz Cheney 504 00:24:07,600 --> 00:24:10,960 Speaker 7: strategy like you know, and and since she has leaned 505 00:24:11,000 --> 00:24:13,600 Speaker 7: into the Liz Cheney's strategy, is when the polls have 506 00:24:13,680 --> 00:24:17,359 Speaker 7: started to you know, really tie down move against her. 507 00:24:18,240 --> 00:24:20,000 Speaker 7: I do want to go back to what you were 508 00:24:20,000 --> 00:24:22,320 Speaker 7: saying about, you know, why Trump wouldn't sit with you. 509 00:24:22,480 --> 00:24:24,480 Speaker 7: And by the way, it wasn't even with me involved. 510 00:24:24,520 --> 00:24:27,880 Speaker 7: It was like, you know, maybe with you and but yeah, 511 00:24:27,920 --> 00:24:29,280 Speaker 7: I mean, they can go back and look at your 512 00:24:29,320 --> 00:24:32,640 Speaker 7: interviews of other Republican contenders and see that you ask 513 00:24:32,720 --> 00:24:33,680 Speaker 7: them real questions. 514 00:24:33,760 --> 00:24:36,440 Speaker 6: Because because if you are a person. 515 00:24:36,160 --> 00:24:38,040 Speaker 7: I don't care who you are, how much I like 516 00:24:38,080 --> 00:24:39,359 Speaker 7: you or hate your what you can go look at 517 00:24:39,400 --> 00:24:42,520 Speaker 7: my interviews with Bernie Sanders. Right, you are seeking the 518 00:24:42,560 --> 00:24:44,840 Speaker 7: highest office in the land. You want to be the 519 00:24:44,840 --> 00:24:48,040 Speaker 7: most powerful person on the planet. I don't care who 520 00:24:48,080 --> 00:24:49,760 Speaker 7: you are sitting with that person at this point, you 521 00:24:49,800 --> 00:24:53,320 Speaker 7: have responsibility to ask some some you know, challenging questions 522 00:24:53,359 --> 00:24:55,639 Speaker 7: about how they intend to use that power and how 523 00:24:55,640 --> 00:24:57,760 Speaker 7: they use that power in the past, in the case 524 00:24:57,800 --> 00:24:59,800 Speaker 7: of Donald Trump and so. 525 00:25:00,480 --> 00:25:03,399 Speaker 6: But in the like podcast. 526 00:25:03,160 --> 00:25:07,160 Speaker 7: New media arena. Yeah, all the incentives are to not 527 00:25:07,280 --> 00:25:11,359 Speaker 7: do that. Because let's say that the Trump people deluded 528 00:25:11,400 --> 00:25:14,000 Speaker 7: themselves into thinking they could get a softball interview with you, 529 00:25:14,280 --> 00:25:16,359 Speaker 7: and he sits with you and that's not what he gets. 530 00:25:16,520 --> 00:25:19,879 Speaker 7: He's never coming back. Yah, he is never coming back. 531 00:25:20,320 --> 00:25:22,679 Speaker 7: Or if you think in the by the come of 532 00:25:22,720 --> 00:25:26,159 Speaker 7: people that that was never an even remote possibility that 533 00:25:26,160 --> 00:25:30,840 Speaker 7: that was gonna happen. Right, And also, like think of 534 00:25:31,080 --> 00:25:34,560 Speaker 7: in terms of Rogan's audience or any of the like, 535 00:25:34,720 --> 00:25:37,640 Speaker 7: you know, right wing audiences that you know, he's been 536 00:25:37,880 --> 00:25:41,960 Speaker 7: going to these these podcasts for if Rogan did do 537 00:25:42,400 --> 00:25:46,800 Speaker 7: aggressive adversarial interview with Trump, his audience would be mad 538 00:25:46,800 --> 00:25:47,160 Speaker 7: at him. 539 00:25:47,320 --> 00:25:48,000 Speaker 1: Yeah, they would. 540 00:25:48,280 --> 00:25:50,840 Speaker 7: There is no incentive for him or anyone else. And 541 00:25:50,880 --> 00:25:52,960 Speaker 7: this is not you know, personal man, this is anybody 542 00:25:52,960 --> 00:25:56,560 Speaker 7: in the ecosystem. We think a lot about corporate media 543 00:25:56,640 --> 00:25:59,959 Speaker 7: incentives and where those lie, right, there is no reason 544 00:26:00,400 --> 00:26:03,879 Speaker 7: for anyone in that sphere to be adversarial, because they 545 00:26:03,920 --> 00:26:06,200 Speaker 7: will never get the interview again, and their audience will 546 00:26:06,200 --> 00:26:08,640 Speaker 7: be pissed at them. And in some ways, I think 547 00:26:08,680 --> 00:26:11,000 Speaker 7: the in centers are actually worse in the new media 548 00:26:11,080 --> 00:26:15,000 Speaker 7: landscape than in the old media landscape, because number one, 549 00:26:15,240 --> 00:26:19,000 Speaker 7: you're so much more there is so much more audience capture, 550 00:26:19,160 --> 00:26:22,960 Speaker 7: because it's so much more direct, you know, like whether 551 00:26:23,040 --> 00:26:25,320 Speaker 7: or not that video clicks or not, whether or not 552 00:26:25,400 --> 00:26:28,280 Speaker 7: you lose premium subscribers or not, Like that's your whole thing, 553 00:26:28,880 --> 00:26:30,760 Speaker 7: not to mention if you even think about the corporate 554 00:26:30,760 --> 00:26:32,959 Speaker 7: part of it zooming out from the political lens, Like 555 00:26:33,400 --> 00:26:36,480 Speaker 7: at least in traditional media, there's an alleged firewall between 556 00:26:36,480 --> 00:26:39,360 Speaker 7: the people who are selling ads and the hosts who 557 00:26:39,400 --> 00:26:41,800 Speaker 7: are on air and the journalists who are doing the work. 558 00:26:42,240 --> 00:26:44,640 Speaker 7: Like in new media, there's none of that buffer, which 559 00:26:44,640 --> 00:26:47,520 Speaker 7: is why we've decided not to do any direct adreads, 560 00:26:47,520 --> 00:26:51,280 Speaker 7: never to interface with a corporate sponsor, because we don't 561 00:26:51,280 --> 00:26:54,560 Speaker 7: want even the appearance of a conflict of interest. Now, 562 00:26:54,600 --> 00:26:57,480 Speaker 7: if you're a comedian in general, there's no reason for 563 00:26:57,560 --> 00:26:59,959 Speaker 7: you to worry about that as much. It's a different 564 00:27:00,119 --> 00:27:03,080 Speaker 7: ethical quandary. But if you're gonna be the only game 565 00:27:03,119 --> 00:27:06,720 Speaker 7: in town in terms of interviewing or would be presidential candidates, 566 00:27:07,160 --> 00:27:10,320 Speaker 7: then that creates a very different ethical landscape. So in 567 00:27:10,359 --> 00:27:14,320 Speaker 7: any case, I'm kind of, like I said the podcast election, 568 00:27:15,200 --> 00:27:17,720 Speaker 7: it's it's very depressing to me because obviously we work 569 00:27:17,720 --> 00:27:20,000 Speaker 7: in this space. I had a lot of hopes for 570 00:27:20,080 --> 00:27:23,240 Speaker 7: new media, and I see it. I see the incentive 571 00:27:23,280 --> 00:27:28,359 Speaker 7: landscape as at least as bad and corrupting as legacy media. 572 00:27:28,400 --> 00:27:30,680 Speaker 7: And like I said, if it was if it was part, 573 00:27:30,800 --> 00:27:32,960 Speaker 7: like if this Rogan interview was part of a broader 574 00:27:33,080 --> 00:27:36,320 Speaker 7: framework where he's sitting for tough questions with New York 575 00:27:36,359 --> 00:27:39,639 Speaker 7: Times editorial board, the Wall Street Journal, whoever. Oh, that 576 00:27:39,720 --> 00:27:42,159 Speaker 7: was a relatively adversarial interview he did was with what 577 00:27:42,240 --> 00:27:44,840 Speaker 7: was it Bloomberg? That was at least somewhat adversarial. So 578 00:27:44,840 --> 00:27:47,320 Speaker 7: we'll give him credit for that, but it's by and large, 579 00:27:47,480 --> 00:27:51,960 Speaker 7: not by and large, this is what we're getting. There's 580 00:27:52,040 --> 00:27:55,960 Speaker 7: no other debate, there's you know, So it's that's why 581 00:27:56,000 --> 00:27:58,240 Speaker 7: to me, it's very it's very depressing. 582 00:27:58,320 --> 00:28:00,800 Speaker 1: Yeah, I mean, look, I don't want this to be 583 00:28:00,840 --> 00:28:04,040 Speaker 1: too naval gazing, but it is certainly important, and it's 584 00:28:04,400 --> 00:28:07,879 Speaker 1: what you're talking about too, is important for people to understand, 585 00:28:08,040 --> 00:28:11,000 Speaker 1: like you were talking about there with incentives and incentives 586 00:28:11,080 --> 00:28:14,000 Speaker 1: do obviously matter. And this is way bigger than Rogan 587 00:28:14,080 --> 00:28:15,840 Speaker 1: because it's not just about him. It's so Trump has 588 00:28:15,840 --> 00:28:17,919 Speaker 1: been on a million of these podcasts. In fact, the 589 00:28:17,960 --> 00:28:20,400 Speaker 1: mystifying part to me is whenever he does much much 590 00:28:20,440 --> 00:28:22,879 Speaker 1: smaller podcasts and you're like, Okay, this is literally just 591 00:28:22,920 --> 00:28:26,679 Speaker 1: so you can feel good while you're talking. That's that's different. 592 00:28:27,480 --> 00:28:30,640 Speaker 1: Like here I see the strategy with the rest planet Tyris, 593 00:28:30,640 --> 00:28:31,840 Speaker 1: I'm like, what are we doing here? 594 00:28:32,000 --> 00:28:32,320 Speaker 6: All right? 595 00:28:32,440 --> 00:28:36,520 Speaker 1: So stick you know, sticking with that and just that 596 00:28:36,600 --> 00:28:42,280 Speaker 1: general like theme of adversarial questions, incentives and all that 597 00:28:42,360 --> 00:28:44,080 Speaker 1: I always tell people too, you know, in terms of 598 00:28:44,160 --> 00:28:45,640 Speaker 1: why that matters. And we saw a lot of that 599 00:28:45,720 --> 00:28:50,120 Speaker 1: during that whole insanity around Lauren Chen and the Russia situation, 600 00:28:50,280 --> 00:28:53,000 Speaker 1: just about standards and like how you you know people. 601 00:28:53,000 --> 00:28:55,520 Speaker 7: Yeah, just to refresh people's mind. That was the tenant 602 00:28:55,640 --> 00:29:02,800 Speaker 7: media things where Lauren Chen was knowing, knowingly taking like 603 00:29:03,240 --> 00:29:08,160 Speaker 7: some Russian government money and then lying to a bunch 604 00:29:08,160 --> 00:29:10,760 Speaker 7: of creators like Dave Rubin and timpoole that this was 605 00:29:10,800 --> 00:29:14,800 Speaker 7: some like French businessman or whatever, Eduardo Gregorian or whatever 606 00:29:14,840 --> 00:29:19,000 Speaker 7: his name was, and they like, okay, I'll take them 607 00:29:19,000 --> 00:29:21,360 Speaker 7: at their word. They didn't know that this wasn't some 608 00:29:21,640 --> 00:29:24,600 Speaker 7: random French businessman. But the very fact that you would 609 00:29:24,600 --> 00:29:29,120 Speaker 7: be like, sure, I'll just take in millions of dollars 610 00:29:29,160 --> 00:29:32,600 Speaker 7: in certain cases for doing very little work and not 611 00:29:32,800 --> 00:29:37,760 Speaker 7: ask any questions shows you how much like shady, sleaziness 612 00:29:38,280 --> 00:29:41,360 Speaker 7: and lack of scruples there is in the business in general. 613 00:29:41,520 --> 00:29:43,840 Speaker 1: Right, last thing I wanted to show here was this 614 00:29:44,360 --> 00:29:48,480 Speaker 1: UFO clip, not just about UFOs, but was about the 615 00:29:48,600 --> 00:29:52,320 Speaker 1: JFK files as well, and it revealed importantly what you 616 00:29:52,400 --> 00:29:55,720 Speaker 1: talked about, Crystal, about the Mike Pompeio connection and kind 617 00:29:55,720 --> 00:29:59,200 Speaker 1: of how that worked with government. Let's take a listen. 618 00:30:00,080 --> 00:30:03,240 Speaker 5: Of interested in the people coming from space? 619 00:30:03,360 --> 00:30:05,640 Speaker 4: You know, yes, and I know you're interested, oh. 620 00:30:05,640 --> 00:30:07,160 Speaker 3: Very interested in that. How much do they tell you 621 00:30:07,160 --> 00:30:07,560 Speaker 3: about that? 622 00:30:07,680 --> 00:30:08,000 Speaker 4: A lot? 623 00:30:08,280 --> 00:30:11,840 Speaker 3: Really? Well, they tell you how much can you tell you? 624 00:30:11,880 --> 00:30:14,440 Speaker 3: So how's that work? Because it's like super top secret? 625 00:30:14,920 --> 00:30:16,960 Speaker 5: Tell me well, based on Hunter Biden, I can say 626 00:30:17,000 --> 00:30:21,600 Speaker 5: whatever the hell now, But I interviewed a few people 627 00:30:21,640 --> 00:30:23,480 Speaker 5: it's never been my thing. I have to be honest, 628 00:30:23,520 --> 00:30:25,520 Speaker 5: I have never been a believer. I have people that 629 00:30:26,040 --> 00:30:28,360 Speaker 5: Area fifty one or whatever it is. I think it's 630 00:30:28,360 --> 00:30:31,320 Speaker 5: a number one tourist attraction in the whole country or something. 631 00:30:31,440 --> 00:30:32,360 Speaker 4: Area fifty one. 632 00:30:33,000 --> 00:30:34,720 Speaker 3: You know that, Sure, I know what it is. 633 00:30:35,800 --> 00:30:40,360 Speaker 5: It's a big tour secment. So I interviewed jet pilots 634 00:30:42,000 --> 00:30:45,120 Speaker 5: that say they saw a something. If you saw them, 635 00:30:45,120 --> 00:30:46,160 Speaker 5: you'd love to have them ass. 636 00:30:46,160 --> 00:30:49,000 Speaker 2: I've had a couple in here, Commander David Fraver, Yeah, 637 00:30:49,080 --> 00:30:51,360 Speaker 2: I had him and who had that sighting in two 638 00:30:51,360 --> 00:30:54,840 Speaker 2: thousand and four, very very compelling with visual, visual, video evidence, 639 00:30:55,040 --> 00:30:55,840 Speaker 2: radar evidence. 640 00:30:56,640 --> 00:31:02,440 Speaker 4: I don't believe his name, but I jet pilots that. 641 00:31:03,920 --> 00:31:09,080 Speaker 5: Were solid people, perfect, I mean, great pilots, and they 642 00:31:09,120 --> 00:31:14,560 Speaker 5: said we saw things, sure that we're very strange. 643 00:31:14,160 --> 00:31:16,320 Speaker 4: Like a round ball. But it wasn't a comet or 644 00:31:16,360 --> 00:31:18,240 Speaker 4: a meteor. It was something. 645 00:31:19,000 --> 00:31:21,719 Speaker 5: And it was going four times faster than an F 646 00:31:21,760 --> 00:31:23,640 Speaker 5: twenty two, which is a very fast plant. 647 00:31:23,680 --> 00:31:27,640 Speaker 1: You know. Okay, that was just the UFO section. I 648 00:31:27,640 --> 00:31:31,000 Speaker 1: guess I hadn't pulled that full clip. But there was 649 00:31:31,040 --> 00:31:34,520 Speaker 1: also a JFK section part of that specifically where they taught. 650 00:31:34,520 --> 00:31:36,160 Speaker 1: He was like, well, why didn't you release the JFK 651 00:31:36,280 --> 00:31:38,760 Speaker 1: files And he was like, well, Mike Pompeo and a 652 00:31:38,760 --> 00:31:41,320 Speaker 1: few other people called me the only interesting part on 653 00:31:41,360 --> 00:31:44,479 Speaker 1: the jf cancer is he said, well, there's addresses, and 654 00:31:44,560 --> 00:31:47,360 Speaker 1: some of these people are still alive. And I was like, 655 00:31:47,480 --> 00:31:51,840 Speaker 1: what some of these people still be alive in terms 656 00:31:51,840 --> 00:31:54,560 Speaker 1: of the main conspirators, right, I mean this was it 657 00:31:54,600 --> 00:31:57,640 Speaker 1: was nineteen sixty three, Like how I mean, theoretically, I 658 00:31:57,680 --> 00:32:00,800 Speaker 1: guess it would be extraordinarily old. But anyway, he said, 659 00:32:00,880 --> 00:32:02,600 Speaker 1: he was like, well, this time around you I. 660 00:32:02,800 --> 00:32:04,000 Speaker 6: Can pull it up if you want. 661 00:32:04,200 --> 00:32:04,720 Speaker 4: I got it. 662 00:32:04,960 --> 00:32:05,960 Speaker 6: Yeah, hold on, let me. 663 00:32:05,920 --> 00:32:08,600 Speaker 7: Pull up that part because the first while I'm pulling 664 00:32:08,600 --> 00:32:10,840 Speaker 7: it up, what did you make of the UFO part? 665 00:32:10,880 --> 00:32:12,840 Speaker 7: I mean to be, I have a rule of thumb. 666 00:32:13,800 --> 00:32:15,600 Speaker 7: This is a Kyle and I rule of thumb. Every 667 00:32:15,640 --> 00:32:16,960 Speaker 7: time he tells the story, that's. 668 00:32:16,760 --> 00:32:20,200 Speaker 6: Like, sir, I'll tell you, yeah, every. 669 00:32:20,040 --> 00:32:22,240 Speaker 7: Time it starts with sir, it's a lie, Like you're 670 00:32:22,280 --> 00:32:23,360 Speaker 7: just making this up right now? 671 00:32:23,760 --> 00:32:24,040 Speaker 3: Really? 672 00:32:24,720 --> 00:32:24,920 Speaker 6: Yes? 673 00:32:25,160 --> 00:32:27,200 Speaker 1: Well, okay, I will say that's the first time I've 674 00:32:27,240 --> 00:32:30,280 Speaker 1: ever heard of this so called the so called interview 675 00:32:30,280 --> 00:32:32,360 Speaker 1: with jet pilots I hope it did happen. I hope 676 00:32:32,360 --> 00:32:34,040 Speaker 1: more of those jet pilots can come out be disc 677 00:32:34,360 --> 00:32:37,720 Speaker 1: classified and speak to people. I mean, the unfortunate part 678 00:32:37,800 --> 00:32:39,520 Speaker 1: for me was just like I'll believe it when I 679 00:32:39,520 --> 00:32:42,160 Speaker 1: see it. So if I recall with Trump, there was 680 00:32:42,200 --> 00:32:44,280 Speaker 1: this whole thing. People probably don't even remember this, but 681 00:32:44,320 --> 00:32:47,360 Speaker 1: it was FISA D classification, and there was this Trump 682 00:32:47,400 --> 00:32:49,760 Speaker 1: pledged to do. Fis a de classification. Okay, here we. 683 00:32:49,720 --> 00:32:50,480 Speaker 3: Go, let's listen to it. 684 00:32:50,600 --> 00:32:51,280 Speaker 6: You can finish. 685 00:32:51,360 --> 00:32:54,280 Speaker 1: God, So fi's a declassification. And it was like Trump 686 00:32:54,360 --> 00:32:55,840 Speaker 1: was like, I'm going to do it anything, you know. 687 00:32:55,880 --> 00:32:57,880 Speaker 1: We just kept waiting and waiting, and I was covering 688 00:32:57,920 --> 00:33:00,640 Speaker 1: the wine house. We would ask the secretary when isis 689 00:33:00,680 --> 00:33:02,440 Speaker 1: the classification going to happen? And this and this, this, 690 00:33:02,480 --> 00:33:05,000 Speaker 1: and then finally it just like never happened, and a 691 00:33:05,000 --> 00:33:07,160 Speaker 1: lot of it came back to exactly this whole Mike 692 00:33:07,200 --> 00:33:09,880 Speaker 1: Pompeo thing. In my opinion, I mean, it's kind of 693 00:33:09,920 --> 00:33:12,960 Speaker 1: like with everything with the executive unless the executive really 694 00:33:12,960 --> 00:33:15,240 Speaker 1: really wants something to happen and is willing to follow 695 00:33:15,280 --> 00:33:18,640 Speaker 1: through on that every single day for his presidency until 696 00:33:18,640 --> 00:33:20,560 Speaker 1: it finally does. Then it's not going to happen in 697 00:33:20,640 --> 00:33:21,800 Speaker 1: terms of the deep state. 698 00:33:21,840 --> 00:33:23,480 Speaker 7: So yeah, I mean, he could have done last time 699 00:33:23,520 --> 00:33:25,200 Speaker 7: he did it, He could have done the files. 700 00:33:25,520 --> 00:33:27,680 Speaker 1: He claims he said this time that he will do 701 00:33:27,720 --> 00:33:29,680 Speaker 1: it now. Hopefully at this point he's. 702 00:33:29,600 --> 00:33:34,240 Speaker 7: Been prim tell him not to again. Could be My hope. 703 00:33:34,040 --> 00:33:37,200 Speaker 1: Would be that this time that you've had enough people 704 00:33:37,280 --> 00:33:38,880 Speaker 1: and he's had enough times that he said it on 705 00:33:38,880 --> 00:33:41,080 Speaker 1: the record that he might do it, So that would 706 00:33:41,120 --> 00:33:43,280 Speaker 1: have at the I have a little bit more hope 707 00:33:43,360 --> 00:33:46,040 Speaker 1: than I did last time, but not as much some 708 00:33:46,080 --> 00:33:46,440 Speaker 1: people do. 709 00:33:46,520 --> 00:33:49,120 Speaker 6: Okay, let's let me I'll play I'll play this part. Yeah. 710 00:33:49,280 --> 00:33:50,560 Speaker 2: One of the things that I wanted to talk to 711 00:33:50,560 --> 00:33:52,959 Speaker 2: you about is the JFK files. 712 00:33:53,520 --> 00:33:54,440 Speaker 3: And one of the things that you. 713 00:33:54,440 --> 00:33:58,000 Speaker 2: Said was that if they showed you what they showed me, 714 00:33:58,080 --> 00:34:00,520 Speaker 2: this was your quote, you wouldn't want people that know 715 00:34:00,520 --> 00:34:00,880 Speaker 2: it either. 716 00:34:03,280 --> 00:34:10,640 Speaker 4: So I opened them up. Partially. I was met with 717 00:34:11,040 --> 00:34:11,800 Speaker 4: from good people. 718 00:34:11,920 --> 00:34:14,240 Speaker 5: I mean, you know, look, I mean good people, people 719 00:34:14,239 --> 00:34:15,840 Speaker 5: that were well meeting. 720 00:34:16,239 --> 00:34:20,080 Speaker 4: Mike Pompeo was one of them. He's a good person. Uh. 721 00:34:21,040 --> 00:34:23,520 Speaker 5: They called me, they said, Sarah would rather have you 722 00:34:23,600 --> 00:34:28,440 Speaker 5: not after and I did open him, but I was 723 00:34:28,480 --> 00:34:31,160 Speaker 5: asked by some people not to open them. There's a 724 00:34:31,160 --> 00:34:33,480 Speaker 5: Martin Luther King file too, by the way, that they'd 725 00:34:33,520 --> 00:34:34,960 Speaker 5: like to see. I don't know if you know, but 726 00:34:35,040 --> 00:34:40,480 Speaker 5: there is that. But but JFK in particular, So they 727 00:34:40,520 --> 00:34:42,520 Speaker 5: called me. A lot of good people called me people 728 00:34:42,560 --> 00:34:45,040 Speaker 5: that I you know that you would find reasonable. 729 00:34:44,680 --> 00:34:47,000 Speaker 4: People, and they asked me not to do it. 730 00:34:47,040 --> 00:34:49,280 Speaker 5: So I said, well, we'll close it for another time, 731 00:34:49,800 --> 00:34:52,120 Speaker 5: but if I went, I'm going to open them up. 732 00:34:52,160 --> 00:34:55,520 Speaker 5: I'm just going to open enough. A lot of times 733 00:34:56,840 --> 00:35:00,239 Speaker 5: addresses people that are still living. They are ap people 734 00:35:00,239 --> 00:35:04,600 Speaker 5: that are affected, and there could be some national security 735 00:35:04,640 --> 00:35:06,480 Speaker 5: reason that for you know that I don't have to 736 00:35:06,560 --> 00:35:10,120 Speaker 5: necessarily know about. But some very good, talented people asked 737 00:35:10,120 --> 00:35:12,520 Speaker 5: me not to do it. I opened it up, and 738 00:35:12,560 --> 00:35:15,799 Speaker 5: then they said, would it be possible for us to 739 00:35:15,840 --> 00:35:17,080 Speaker 5: do that a different day. 740 00:35:17,840 --> 00:35:19,560 Speaker 3: How much of it did you read into. 741 00:35:20,560 --> 00:35:25,000 Speaker 5: I think it's going to be just fine to open it. 742 00:35:25,120 --> 00:35:26,680 Speaker 5: Let me put it that way. I think it's fine. 743 00:35:26,719 --> 00:35:28,920 Speaker 5: It's going to be time. It's a cleansing, you know, 744 00:35:28,960 --> 00:35:29,960 Speaker 5: it's truly a cleansing. 745 00:35:30,320 --> 00:35:31,000 Speaker 4: So I'm going to do it. 746 00:35:31,080 --> 00:35:34,520 Speaker 5: I'm going to do it immediately, almost immediately upon entering office. 747 00:35:34,680 --> 00:35:37,600 Speaker 3: Well, the thing when people look at it from the outside. 748 00:35:37,160 --> 00:35:39,400 Speaker 7: All right, So anyway, what do you make of that? 749 00:35:39,480 --> 00:35:41,040 Speaker 7: Because to me, I'm just I know people are like 750 00:35:41,120 --> 00:35:43,360 Speaker 7: reading a lot and as well, he said there's addresses 751 00:35:43,360 --> 00:35:45,080 Speaker 7: and people are still alive. I just think he's making 752 00:35:45,200 --> 00:35:46,799 Speaker 7: it up, Like I think he's just coming up with 753 00:35:46,840 --> 00:35:50,240 Speaker 7: an excuse for why he didn't do the thing last time. 754 00:35:50,400 --> 00:35:52,759 Speaker 7: And the real reason probably is something more like like 755 00:35:52,840 --> 00:35:55,080 Speaker 7: well like Pompeo's that I know that is the real reason. 756 00:35:55,280 --> 00:35:57,640 Speaker 1: Yeah, I just want look, he said he would do it. 757 00:35:57,880 --> 00:35:59,799 Speaker 1: Let's let's hold his feet to the fire. If he wins, 758 00:36:00,400 --> 00:36:02,360 Speaker 1: let's get it done. Because it's funny, you. 759 00:36:02,320 --> 00:36:04,520 Speaker 7: Know, because because the Mega Movement is really good at 760 00:36:04,560 --> 00:36:07,200 Speaker 7: holding Trump's feet to the fire over his failed promise. 761 00:36:07,239 --> 00:36:11,360 Speaker 1: And we'll try, we'll try our best. I'll bring it 762 00:36:11,400 --> 00:36:13,759 Speaker 1: back to Jefferson Morley, who, Yeah, when we interviewed him, 763 00:36:13,800 --> 00:36:15,640 Speaker 1: we were like why why And he's like, it's just 764 00:36:15,719 --> 00:36:18,720 Speaker 1: all narrative. It's just that they can't have the information 765 00:36:18,760 --> 00:36:21,879 Speaker 1: out there about the direct CIA involvement. I don't think 766 00:36:21,880 --> 00:36:24,120 Speaker 1: it has to do with addresses or people alive, you know, 767 00:36:24,239 --> 00:36:27,440 Speaker 1: Like he said, he's really is about mythos and about 768 00:36:27,520 --> 00:36:30,879 Speaker 1: how the CIA and how foundational, you know, the assassination 769 00:36:31,080 --> 00:36:34,120 Speaker 1: is to like the American myth and how they don't want, 770 00:36:34,200 --> 00:36:37,160 Speaker 1: you know, the the imagery of the CIA to be diminished. 771 00:36:37,200 --> 00:36:37,319 Speaker 8: Now. 772 00:36:37,320 --> 00:36:40,040 Speaker 1: I mean the ridiculous part is that everybody knows, Like 773 00:36:40,080 --> 00:36:42,359 Speaker 1: if you were to ask people, you know, the vast 774 00:36:42,360 --> 00:36:45,000 Speaker 1: majority of Americans believe that it was a conspiracy. They 775 00:36:45,040 --> 00:36:46,720 Speaker 1: believed it at the time, they still believe it today. 776 00:36:46,880 --> 00:36:49,640 Speaker 1: If anything, they know even more than they've ever known. 777 00:36:49,680 --> 00:36:52,560 Speaker 1: So yeah, we'll see, Uh, we'll see if it happens 778 00:36:52,560 --> 00:36:53,520 Speaker 1: this time around. 779 00:36:54,000 --> 00:36:55,239 Speaker 6: The last thing I wanted to show. 780 00:36:55,239 --> 00:36:56,480 Speaker 7: I don't know, Sagara if you have it or I 781 00:36:56,520 --> 00:36:59,879 Speaker 7: can pull it up, But is the I think it's 782 00:37:00,600 --> 00:37:02,719 Speaker 7: reflecting on because I actually think there were some real 783 00:37:02,760 --> 00:37:05,440 Speaker 7: insights here from Rogan when he was asked by Lex 784 00:37:05,440 --> 00:37:07,759 Speaker 7: Friedman previously if you would interview Trump, and he was like, 785 00:37:07,800 --> 00:37:10,640 Speaker 7: absolutely not. And I actually Lex to his car was like, no, 786 00:37:10,800 --> 00:37:14,040 Speaker 7: You're gonna do it. And you know, I suspect that 787 00:37:14,160 --> 00:37:17,160 Speaker 7: Rogan was reluctant to do it. But then once you 788 00:37:17,239 --> 00:37:19,840 Speaker 7: see you know, the Ovon and all these other people 789 00:37:19,880 --> 00:37:21,759 Speaker 7: doing it, saying all right, well whatever I guess this 790 00:37:21,920 --> 00:37:24,359 Speaker 7: is just what we're doing now. But in any case, 791 00:37:24,400 --> 00:37:27,480 Speaker 7: let's let's take a listen to this clip of how 792 00:37:27,480 --> 00:37:29,359 Speaker 7: he previous. 793 00:37:30,120 --> 00:37:33,160 Speaker 3: Trump supporter in any way, shape or form. I've had 794 00:37:33,160 --> 00:37:35,200 Speaker 3: the opportunity to have him on my show more than once. 795 00:37:35,440 --> 00:37:36,719 Speaker 3: I've said no every time. 796 00:37:36,800 --> 00:37:37,800 Speaker 1: I don't want to help him. 797 00:37:37,960 --> 00:37:40,719 Speaker 3: I'm not interested in helping the Knight is still young. 798 00:37:40,960 --> 00:37:43,640 Speaker 3: We'll see if I have mon the Night is still young. 799 00:37:43,719 --> 00:37:45,920 Speaker 3: You think I'll have I think you'll have them one. Really, 800 00:37:46,000 --> 00:37:48,239 Speaker 3: why do you think that? Because you'll have Putina on. 801 00:37:51,480 --> 00:37:59,799 Speaker 9: And you're competitive as fuck? No, I think ultimately, I 802 00:37:59,800 --> 00:38:02,480 Speaker 9: mean you had You've had a lot of people that 803 00:38:02,520 --> 00:38:05,759 Speaker 9: I think you might. You may otherwise be skeptical. Would 804 00:38:05,800 --> 00:38:08,160 Speaker 9: I have a good conversation, which I think is geometric? 805 00:38:08,239 --> 00:38:10,160 Speaker 9: You don't care about politics, so can I have a 806 00:38:10,160 --> 00:38:14,160 Speaker 9: good conversation? And I think you had like people, people 807 00:38:14,160 --> 00:38:16,080 Speaker 9: like Kanye on for example, and you had a great 808 00:38:16,120 --> 00:38:19,920 Speaker 9: conversation with him. I think you I think, uh. 809 00:38:19,840 --> 00:38:20,960 Speaker 3: But Kanye is an artist. 810 00:38:21,560 --> 00:38:24,760 Speaker 8: But Kanye doing well or not doing well doesn't change 811 00:38:25,080 --> 00:38:26,200 Speaker 8: the course of our country. 812 00:38:27,520 --> 00:38:31,600 Speaker 9: Yeah, but you know, do you really bear the responsibility 813 00:38:32,040 --> 00:38:34,719 Speaker 9: of the course of our country based on a conversation. 814 00:38:35,239 --> 00:38:42,839 Speaker 8: I think you can revitalize and rehabilitate someone's image in 815 00:38:42,920 --> 00:38:45,560 Speaker 8: a way that is pretty shocking. 816 00:38:46,719 --> 00:38:47,680 Speaker 1: All right, that's the end. 817 00:38:48,880 --> 00:38:50,920 Speaker 7: So yeah, what do you make of that, because I mean, 818 00:38:50,920 --> 00:38:54,640 Speaker 7: I think he's I think he's pretty accurate there, Like 819 00:38:54,920 --> 00:38:56,719 Speaker 7: you say, I don't want to help them. I mean, 820 00:38:56,760 --> 00:39:00,279 Speaker 7: I think, for one thing, you know, Joe's politics have shifted, Like, 821 00:39:00,520 --> 00:39:02,520 Speaker 7: you know, the guy who was like, I'll vote for 822 00:39:02,520 --> 00:39:05,200 Speaker 7: Bernie Sanders is now like just pretty partisan, like pro 823 00:39:05,239 --> 00:39:08,040 Speaker 7: Trump guy and happy RFK juniors in that camp and whatever. 824 00:39:08,560 --> 00:39:09,479 Speaker 6: So that's one thing. 825 00:39:09,640 --> 00:39:13,160 Speaker 7: But but yeah, I mean I think he was correct 826 00:39:13,160 --> 00:39:16,440 Speaker 7: there that you look at Trump's approval rating now, it's 827 00:39:16,480 --> 00:39:20,759 Speaker 7: the highest it's ever been. And I've been skeptical of 828 00:39:20,840 --> 00:39:25,239 Speaker 7: how much these podcast appearances will actually like move voters 829 00:39:25,719 --> 00:39:28,400 Speaker 7: that are watching, like in the audience, like young men, 830 00:39:28,560 --> 00:39:30,920 Speaker 7: you know, many of whom probably just aren't really going 831 00:39:30,960 --> 00:39:33,000 Speaker 7: to vote. They might they might be like, yeah, Trump's school, 832 00:39:33,040 --> 00:39:34,719 Speaker 7: but then are they going to actually vote, Like I'm 833 00:39:34,719 --> 00:39:36,920 Speaker 7: a little skeptical of it from that perspective, I'm not 834 00:39:37,000 --> 00:39:41,680 Speaker 7: skeptical of the benefit is provided him in terms of 835 00:39:41,800 --> 00:39:45,040 Speaker 7: raising his approval rating and undercutting the messaging of like, 836 00:39:45,480 --> 00:39:49,440 Speaker 7: you know, rehabbing him post January sixth, and undercutting the 837 00:39:49,440 --> 00:39:52,319 Speaker 7: messaging of like this is a dangerous person to put 838 00:39:52,440 --> 00:39:54,480 Speaker 7: back in the White House. I think on that front, 839 00:39:54,920 --> 00:39:58,160 Speaker 7: it has already been profoundly successful. And I think Joe 840 00:39:58,280 --> 00:40:02,319 Speaker 7: is you know now also just accepted his part in 841 00:40:02,480 --> 00:40:04,400 Speaker 7: playing a role in that rehabilitation. 842 00:40:04,719 --> 00:40:07,520 Speaker 1: Yeah, if you interested, if you if you listen, there 843 00:40:07,520 --> 00:40:09,319 Speaker 1: are a couple things that he says, and he said 844 00:40:09,360 --> 00:40:12,120 Speaker 1: he changed his mind after Trump got shot, and he 845 00:40:12,239 --> 00:40:15,800 Speaker 1: also said it's because of Dana White. That's the number 846 00:40:15,840 --> 00:40:18,759 Speaker 1: one reason that this is happening. So clearly there wasn't 847 00:40:18,760 --> 00:40:21,919 Speaker 1: a major effort from Dana behind the scenes to get Trump. Dana, 848 00:40:22,000 --> 00:40:24,799 Speaker 1: by the way, doesn't get enough. It's funny if you 849 00:40:24,840 --> 00:40:27,200 Speaker 1: look at the genesis of this podcast stuff, it's all 850 00:40:27,280 --> 00:40:29,879 Speaker 1: Dana White. So, for example, Dana was the one who 851 00:40:29,920 --> 00:40:32,520 Speaker 1: Trump told Trump to do the NLK Boys, which I 852 00:40:32,640 --> 00:40:35,359 Speaker 1: believe is the very first podcast that Trump ever did. 853 00:40:35,480 --> 00:40:37,960 Speaker 1: This was back in twenty twenty two if you listen 854 00:40:38,040 --> 00:40:41,359 Speaker 1: to Trump with Aiden Ross. So Dana and Aiden Ross 855 00:40:41,400 --> 00:40:45,440 Speaker 1: have gambled before together in previous interviews, and Dana and 856 00:40:45,560 --> 00:40:48,040 Speaker 1: apparently Barren as well. We're the two who were like, 857 00:40:48,120 --> 00:40:50,560 Speaker 1: you gotta do this, And obviously Dana and Job been 858 00:40:50,560 --> 00:40:53,160 Speaker 1: friends for twenty three years and this was clearly an 859 00:40:53,200 --> 00:40:56,000 Speaker 1: area of disagreement or whatever behind them. I also think, 860 00:40:56,040 --> 00:40:58,399 Speaker 1: you know, you can't underestimate the fact we just brought 861 00:40:58,480 --> 00:41:00,719 Speaker 1: up with Theovonne like it's not novel at this point. 862 00:41:00,719 --> 00:41:03,120 Speaker 1: For like, this isn't the only podcast Trump's done. I 863 00:41:03,200 --> 00:41:05,560 Speaker 1: believe that this is eighth or ninth. Obviously it's the 864 00:41:05,600 --> 00:41:08,160 Speaker 1: biggest one, but it could be the one that more 865 00:41:08,440 --> 00:41:11,399 Speaker 1: most people pay attention to than any others. But within 866 00:41:11,440 --> 00:41:13,720 Speaker 1: the context and specifically because these guys are all friends 867 00:41:13,719 --> 00:41:15,880 Speaker 1: with each other, this is not outside of the norm 868 00:41:15,960 --> 00:41:18,920 Speaker 1: out of all of those podcast interviews. So that's like 869 00:41:19,239 --> 00:41:20,839 Speaker 1: the last part. But then, yeah, I mean I think 870 00:41:21,000 --> 00:41:23,000 Speaker 1: part of it too. And I guess, to Joe's credit, 871 00:41:23,040 --> 00:41:25,080 Speaker 1: he said, I want to have Kamala Harrison, you know, 872 00:41:25,160 --> 00:41:26,600 Speaker 1: and so he's like, look, you know, if I'm going 873 00:41:26,640 --> 00:41:29,400 Speaker 1: to do Trump, it seems that he obviously extended a 874 00:41:30,000 --> 00:41:32,760 Speaker 1: you know, like a Olive branch or whatever to Kamala 875 00:41:32,880 --> 00:41:34,520 Speaker 1: to have her on, And I guess I'll just close 876 00:41:34,560 --> 00:41:35,719 Speaker 1: with it. I hope she does it. I don't think 877 00:41:35,760 --> 00:41:37,600 Speaker 1: that she will, but I do hope that she does. 878 00:41:37,920 --> 00:41:41,000 Speaker 1: And so you know, you know, it's it is difficult. 879 00:41:41,200 --> 00:41:42,879 Speaker 1: And we've talked to him about this, like he never 880 00:41:43,160 --> 00:41:45,880 Speaker 1: necessarily wanted to be a role which could move the 881 00:41:45,880 --> 00:41:49,440 Speaker 1: country or whatever. He slowly found himself there, and I 882 00:41:49,440 --> 00:41:51,520 Speaker 1: think maybe he's just shifted his mind of like, yeah, 883 00:41:51,600 --> 00:41:52,760 Speaker 1: I'm in this position. 884 00:41:53,200 --> 00:41:56,680 Speaker 7: It is what it is, right, Yeah, I just listen. 885 00:41:56,840 --> 00:42:02,000 Speaker 7: I think that, as I said before, since this podcast strategy, 886 00:42:02,280 --> 00:42:06,080 Speaker 7: you know, whether it's Alex Cooper or Theovon or Andrew Schultzer, 887 00:42:06,120 --> 00:42:08,759 Speaker 7: Joe Rogan or Shannon Sharp or whoever the hell it is, 888 00:42:08,840 --> 00:42:11,799 Speaker 7: on whatever side of the aisle they're on, Like, if 889 00:42:11,800 --> 00:42:14,560 Speaker 7: this is going to be the bulk of the questioning 890 00:42:14,960 --> 00:42:18,120 Speaker 7: and insight that we get into candidates, you do have 891 00:42:18,160 --> 00:42:20,719 Speaker 7: some responsibility here, Like as much as you want to 892 00:42:20,760 --> 00:42:23,480 Speaker 7: be like I'm just a you know, an influencer, an athlete, 893 00:42:23,520 --> 00:42:27,600 Speaker 7: a comedian, whatever you know, or like a whatever you 894 00:42:27,600 --> 00:42:29,560 Speaker 7: want to call Alex Cooper, I guess, like a cultural 895 00:42:29,560 --> 00:42:33,160 Speaker 7: figure well or influencer, yeah, influencer. I mean, as much 896 00:42:33,160 --> 00:42:35,000 Speaker 7: as you want to hide behind that of like, oh, well, 897 00:42:35,040 --> 00:42:38,080 Speaker 7: no one should expect me. It's like, well, we kind 898 00:42:38,120 --> 00:42:40,799 Speaker 7: of have to rely on you because this is all 899 00:42:40,800 --> 00:42:45,080 Speaker 7: we're getting. So you do have to take on if 900 00:42:45,080 --> 00:42:47,600 Speaker 7: you're going to interview Kamala, if you're going to interview Trump, 901 00:42:48,120 --> 00:42:50,520 Speaker 7: you do have to take on some level of responsibility 902 00:42:50,719 --> 00:42:54,440 Speaker 7: of like this is in terms of our like brittle, 903 00:42:54,600 --> 00:42:58,480 Speaker 7: broken down, depressing democratic process. This is kind of all 904 00:42:58,520 --> 00:43:02,160 Speaker 7: we're getting. So it does put maybe an unfair burden, 905 00:43:02,239 --> 00:43:04,840 Speaker 7: but it does put an onus on you to do 906 00:43:05,000 --> 00:43:08,319 Speaker 7: your best to you know, to get insights and to 907 00:43:08,400 --> 00:43:10,480 Speaker 7: be a little adversarial and to push them in areas 908 00:43:10,520 --> 00:43:13,080 Speaker 7: where they're not comfortable, especially like you know, you got 909 00:43:13,120 --> 00:43:16,120 Speaker 7: three hours of this man's time. How precious is his time? 910 00:43:16,800 --> 00:43:18,839 Speaker 7: How who was the last I mean, when has he 911 00:43:18,920 --> 00:43:21,520 Speaker 7: ever given anyone three hours of time? 912 00:43:21,880 --> 00:43:23,680 Speaker 6: And this is it? Like you said this, he's probably 913 00:43:23,680 --> 00:43:25,920 Speaker 6: not going to do anything else. Yeah, the election, I. 914 00:43:25,920 --> 00:43:27,879 Speaker 1: Think is that this is probably the last one. 915 00:43:28,239 --> 00:43:30,879 Speaker 7: So this is your last chance to you know, get 916 00:43:30,880 --> 00:43:34,319 Speaker 7: from him, Like what what are you going to do? 917 00:43:34,640 --> 00:43:37,360 Speaker 7: And what about the failures of last time? And what 918 00:43:37,480 --> 00:43:39,920 Speaker 7: about the Middle East? And yeah, you say none of 919 00:43:39,960 --> 00:43:42,560 Speaker 7: it would have happened, but like, okay, it did so 920 00:43:42,680 --> 00:43:46,239 Speaker 7: what now and so anyway, That's what I would say, 921 00:43:46,320 --> 00:43:47,960 Speaker 7: is like, as much as it would be nice to 922 00:43:48,040 --> 00:43:49,920 Speaker 7: just kick back and be like, let's chill and have 923 00:43:49,960 --> 00:43:53,200 Speaker 7: a conversation, I think because of the direction that they 924 00:43:53,480 --> 00:43:57,319 Speaker 7: I'm under no illusions that any of any of these 925 00:43:57,360 --> 00:43:59,799 Speaker 7: influencers or whatever are going to shift their approach, because 926 00:43:59,800 --> 00:44:01,960 Speaker 7: all the incentives are in the direction of doing the 927 00:44:02,120 --> 00:44:05,320 Speaker 7: like you know, softball, let's hang out interview. It's easier, 928 00:44:05,480 --> 00:44:07,480 Speaker 7: your audience likes it more, and you're more likely to 929 00:44:07,520 --> 00:44:10,640 Speaker 7: get the candidates back. But I do think it's it's 930 00:44:11,239 --> 00:44:15,720 Speaker 7: depressing and unfortunate and is further degradation of like our 931 00:44:16,520 --> 00:44:20,080 Speaker 7: democratic process and the ability of voters to assess who 932 00:44:20,080 --> 00:44:20,839 Speaker 7: they're voting for. 933 00:44:21,040 --> 00:44:23,279 Speaker 1: I aw say, it's a tough position, especially if never 934 00:44:23,320 --> 00:44:25,319 Speaker 1: had any experience doing this. You know, you and I 935 00:44:25,400 --> 00:44:27,279 Speaker 1: came up in a more traditional background, so you know, 936 00:44:27,320 --> 00:44:28,960 Speaker 1: you get kind of used to it, like in terms 937 00:44:28,960 --> 00:44:31,440 Speaker 1: of pressing people, Oh so and so, Senator so and 938 00:44:31,440 --> 00:44:33,960 Speaker 1: so is pissed off you, Okay, whatever, don't be a senator. 939 00:44:33,960 --> 00:44:36,320 Speaker 1: Then you know it's one of those where yeah, it's weird. 940 00:44:36,400 --> 00:44:39,160 Speaker 1: Trust me. It takes years of social conditioning to be 941 00:44:39,200 --> 00:44:41,240 Speaker 1: able to push past that, and you need a certain 942 00:44:41,400 --> 00:44:44,239 Speaker 1: personality type. And like you said, it's also not necessarily 943 00:44:44,239 --> 00:44:47,319 Speaker 1: fair to expect people maybe who've been acting or doing 944 00:44:47,400 --> 00:44:50,840 Speaker 1: like this for a lifetime and now are suddenly thrust 945 00:44:50,880 --> 00:44:53,200 Speaker 1: into the position. So I do sympathize it's a very 946 00:44:53,200 --> 00:44:56,560 Speaker 1: difficult kind of position to be in. And yeah, finally, 947 00:44:56,680 --> 00:44:58,120 Speaker 1: you know, really what I would say, And this is 948 00:44:58,120 --> 00:45:00,719 Speaker 1: to our audience as well and to everybody else who 949 00:45:00,800 --> 00:45:03,160 Speaker 1: is out there. Is part of the issue with podcasts 950 00:45:03,200 --> 00:45:06,120 Speaker 1: of people who are non political. It is conditioned people 951 00:45:06,160 --> 00:45:08,799 Speaker 1: to think that you should quote let people talk, which 952 00:45:08,840 --> 00:45:11,360 Speaker 1: is fine. My general theory is if you're an author 953 00:45:11,520 --> 00:45:15,080 Speaker 1: or whatever, yeah, like the stakes they're not that high. 954 00:45:15,200 --> 00:45:18,360 Speaker 1: But when you're a politician, I do think you should 955 00:45:18,360 --> 00:45:22,239 Speaker 1: have fundamentally different standards, and specifically for when people are 956 00:45:22,280 --> 00:45:24,480 Speaker 1: running for president. And part of the issue is that 957 00:45:24,760 --> 00:45:27,520 Speaker 1: people will listen to a podcast or even maybe an 958 00:45:27,560 --> 00:45:29,879 Speaker 1: interview that you or I have done with others where 959 00:45:29,920 --> 00:45:31,760 Speaker 1: you just kind of like let them talk, like whatever, 960 00:45:31,800 --> 00:45:34,439 Speaker 1: because again, the stakes are not necessarily all that high, 961 00:45:34,520 --> 00:45:37,800 Speaker 1: but it should be very different. And there were different 962 00:45:37,840 --> 00:45:41,520 Speaker 1: expectations for politicians that were there in the past and 963 00:45:41,760 --> 00:45:44,000 Speaker 1: if it's complimentary, it's fine. I have no issue with it, 964 00:45:44,200 --> 00:45:45,960 Speaker 1: like you said, But I don't think that. I do 965 00:45:46,000 --> 00:45:48,000 Speaker 1: think that there are way too many people out there 966 00:45:48,160 --> 00:45:50,680 Speaker 1: who only want to see this type of interview. And 967 00:45:50,719 --> 00:45:52,799 Speaker 1: by the way, that doesn't work for you at all. 968 00:45:52,880 --> 00:45:55,640 Speaker 1: It really doesn't, because you know, just flip it around 969 00:45:55,640 --> 00:45:57,480 Speaker 1: and say for the person you don't like. You know, 970 00:45:57,520 --> 00:45:59,719 Speaker 1: when I watch you know, that Alex Cooper thing or 971 00:45:59,760 --> 00:46:01,640 Speaker 1: whatever with Comma, I'm like, what the fuck am I 972 00:46:01,680 --> 00:46:02,279 Speaker 1: getting out of this? 973 00:46:02,400 --> 00:46:04,640 Speaker 7: Like yeah, but I mean I feel the same way 974 00:46:04,680 --> 00:46:07,040 Speaker 7: watching that. It's like, Okay, well this is like just 975 00:46:07,080 --> 00:46:10,920 Speaker 7: a propaganda puff piece, waste of time, you know. Yeah, 976 00:46:10,960 --> 00:46:14,560 Speaker 7: she's gotten much more difficult questions. Even the ladies of 977 00:46:14,600 --> 00:46:19,200 Speaker 7: the view gave her more difficult questions then I've seen 978 00:46:19,239 --> 00:46:22,320 Speaker 7: thrown at either candidate in like the podcast setting space. 979 00:46:22,920 --> 00:46:25,359 Speaker 7: So yeah, I mean, if if it's part of a 980 00:46:25,360 --> 00:46:27,400 Speaker 7: broader thing and then you can just like have the 981 00:46:27,400 --> 00:46:29,920 Speaker 7: conversation and see see who they are on the inside, 982 00:46:29,920 --> 00:46:32,640 Speaker 7: that's one thing. But that's not that's not where we are, 983 00:46:32,719 --> 00:46:34,480 Speaker 7: and it's only going to go more in this direction. 984 00:46:34,680 --> 00:46:37,440 Speaker 7: It's because if you're a politician and there's no public 985 00:46:37,760 --> 00:46:41,400 Speaker 7: pressure on you to do otherwise, Why would you, like, 986 00:46:41,480 --> 00:46:44,000 Speaker 7: why would you, as Kamala Harris, subject yourself to potentially 987 00:46:44,040 --> 00:46:46,960 Speaker 7: difficult questioning from Joe Rogan and a hostile audience. Why 988 00:46:46,960 --> 00:46:49,320 Speaker 7: would you do that outside of some you know, narrow 989 00:46:49,400 --> 00:46:53,200 Speaker 7: tactical goal of proving that you can. For most politicians, 990 00:46:53,280 --> 00:46:55,839 Speaker 7: we already see this trend like they'll just go on 991 00:46:55,880 --> 00:47:00,960 Speaker 7: the partisan networks and friendly podcast circuits and never really 992 00:47:01,000 --> 00:47:04,880 Speaker 7: get pressed. And that's that's just more and more of 993 00:47:04,920 --> 00:47:06,680 Speaker 7: the direction that we're heading in. And now we've basically 994 00:47:06,760 --> 00:47:10,719 Speaker 7: normalized having effectively no debates as well, so you know, 995 00:47:10,920 --> 00:47:12,359 Speaker 7: that's that's where we are, all. 996 00:47:12,360 --> 00:47:14,680 Speaker 1: Right, Buckle up, folks, ten days ago to the election. 997 00:47:14,840 --> 00:47:16,240 Speaker 1: We will see you all on Monday.