1 00:00:01,360 --> 00:00:04,040 Speaker 1: Hey guys. Here we are back on normally the show 2 00:00:04,080 --> 00:00:06,600 Speaker 1: with normalist takes for when the news gets weird, and 3 00:00:06,640 --> 00:00:09,039 Speaker 1: it's really weird because we're a week before election day. 4 00:00:09,360 --> 00:00:10,800 Speaker 1: I'm Mary Katherine Ham. 5 00:00:10,760 --> 00:00:14,040 Speaker 2: And I'm Carol Markowitz. How's it going, MK, It's good. 6 00:00:14,120 --> 00:00:14,320 Speaker 3: You know. 7 00:00:14,960 --> 00:00:16,880 Speaker 1: Look, I do not work on a campaign, so I 8 00:00:16,880 --> 00:00:18,759 Speaker 1: have the luxury of being able to sort of take 9 00:00:18,800 --> 00:00:23,799 Speaker 1: a moment with my family. Election. Yeah, so thank you 10 00:00:23,840 --> 00:00:26,360 Speaker 1: to all those doing the work out there that is 11 00:00:26,400 --> 00:00:28,720 Speaker 1: not the work that I'm doing. I got to goof 12 00:00:28,760 --> 00:00:31,960 Speaker 1: off and hang out with the Travis Mannon Foundation for 13 00:00:32,040 --> 00:00:35,279 Speaker 1: the Marine Corps Marathon dinner. I did not run, though 14 00:00:35,320 --> 00:00:37,080 Speaker 1: those crazy people are trying to talk to me in 15 00:00:37,120 --> 00:00:41,040 Speaker 1: it for next year. And the kids were off with dad, 16 00:00:41,120 --> 00:00:46,199 Speaker 1: riding around in like little baby ATVs and meeting ducks 17 00:00:46,479 --> 00:00:49,880 Speaker 1: and goofing off outside building fires. We got to teach 18 00:00:49,920 --> 00:00:50,960 Speaker 1: them to do that nice. 19 00:00:51,080 --> 00:00:53,040 Speaker 4: Yeah, they seem like they were having a really good time. 20 00:00:53,320 --> 00:00:55,400 Speaker 1: They were having a very good time. He put them in. 21 00:00:55,440 --> 00:00:57,640 Speaker 1: He put the babies in overalls with no shirts, which 22 00:00:57,640 --> 00:00:59,560 Speaker 1: I thought was really a look that's the look. 23 00:00:59,640 --> 00:01:01,760 Speaker 2: Yeah, sure, I love it. 24 00:01:01,760 --> 00:01:03,560 Speaker 1: If anybody didn't know I was right of center. They 25 00:01:03,560 --> 00:01:05,240 Speaker 1: could look at the kids in the overalls with these 26 00:01:05,240 --> 00:01:07,480 Speaker 1: shirts and be like, Okay, yeah, we got it. 27 00:01:08,600 --> 00:01:10,080 Speaker 2: We know where this family stands. 28 00:01:11,400 --> 00:01:12,000 Speaker 1: What about you. 29 00:01:12,680 --> 00:01:15,319 Speaker 5: I was in Texas with my family. We were in 30 00:01:15,800 --> 00:01:19,920 Speaker 5: San Antonio and then briefly in Austin. It was fantastic 31 00:01:19,959 --> 00:01:21,600 Speaker 5: and we were there to see Billy Joel. But I 32 00:01:21,600 --> 00:01:24,160 Speaker 5: have a history buff Son, so got to see the 33 00:01:24,160 --> 00:01:28,479 Speaker 5: Alamo and that was really interesting, really cool. Davy Crockett 34 00:01:28,680 --> 00:01:32,959 Speaker 5: all about it. Learned a lot, and yeah, it was fantastic. 35 00:01:33,400 --> 00:01:38,040 Speaker 5: You know, it's funny. Political season in Florida and political 36 00:01:38,120 --> 00:01:41,160 Speaker 5: season in Texas should be pretty similar. But I was 37 00:01:41,240 --> 00:01:44,040 Speaker 5: in kind of left leaning areas, so you did see 38 00:01:44,120 --> 00:01:47,360 Speaker 5: quite a few Harris Wall signs. But in the center 39 00:01:47,480 --> 00:01:50,760 Speaker 5: of Austin like this house is just asking to be 40 00:01:50,840 --> 00:01:51,760 Speaker 5: egged or something. 41 00:01:51,840 --> 00:01:53,280 Speaker 2: There's like, you. 42 00:01:53,240 --> 00:01:57,920 Speaker 5: Know, noa Kamala with the K being a hammer and sickle, 43 00:01:58,840 --> 00:02:02,360 Speaker 5: and then like make America Healthy Again sign, which is 44 00:02:02,480 --> 00:02:05,880 Speaker 5: you know, the Robert F. Kennedy version of MAGA, and 45 00:02:06,360 --> 00:02:08,240 Speaker 5: they were They're just doing it loud and proud. 46 00:02:09,280 --> 00:02:09,480 Speaker 3: You know. 47 00:02:09,800 --> 00:02:12,040 Speaker 1: I like to see that on both sides. I like 48 00:02:12,080 --> 00:02:14,480 Speaker 1: to see that in areas where you are the minority, 49 00:02:14,520 --> 00:02:16,680 Speaker 1: because we should live in a country where you should 50 00:02:16,680 --> 00:02:21,880 Speaker 1: feel comfortable doing that in my old But did I 51 00:02:21,919 --> 00:02:23,600 Speaker 1: ever do it in my old neighborhood where was very 52 00:02:23,600 --> 00:02:27,000 Speaker 1: little I'm not sure. I Look, I was very outspoken publicly, 53 00:02:27,040 --> 00:02:29,919 Speaker 1: but not not in my lot lawn where my property 54 00:02:30,080 --> 00:02:30,960 Speaker 1: was so right. 55 00:02:31,040 --> 00:02:32,520 Speaker 2: You don't want to get it. I get it. 56 00:02:32,600 --> 00:02:37,040 Speaker 1: Yeah, brave evil out there. It's interesting because so I'm 57 00:02:37,080 --> 00:02:39,800 Speaker 1: in Virginia. I'm actually in a competitive district of Virginia 58 00:02:39,840 --> 00:02:44,120 Speaker 1: this weekend, so there's a lot of activity here. You're 59 00:02:44,160 --> 00:02:46,679 Speaker 1: in Texas. These are not two places that are considered 60 00:02:46,720 --> 00:02:51,320 Speaker 1: battleground states. Nonetheless, they are places that are getting visits 61 00:02:51,760 --> 00:02:55,600 Speaker 1: from presidential candidates in the last week of an election. 62 00:02:56,400 --> 00:02:57,240 Speaker 2: Do I think it's going on? 63 00:02:57,639 --> 00:02:59,400 Speaker 1: Well, it used to be that that would tell you 64 00:02:59,480 --> 00:03:03,160 Speaker 1: a lot of information. Right now, some campaigns are feeling 65 00:03:03,200 --> 00:03:05,600 Speaker 1: themselves a little too much, right and they're like, we're 66 00:03:05,600 --> 00:03:07,600 Speaker 1: going to go George Bush. I can't remember it was 67 00:03:07,639 --> 00:03:10,160 Speaker 1: at two thousand, went to California right at the end, 68 00:03:10,240 --> 00:03:13,800 Speaker 1: to be like, look, we're putting down a steak California. 69 00:03:13,880 --> 00:03:14,720 Speaker 1: We're feeling good. 70 00:03:15,000 --> 00:03:16,520 Speaker 2: When did he win California? 71 00:03:17,560 --> 00:03:21,320 Speaker 1: And did he win California. No, he did. Likelihood is 72 00:03:21,360 --> 00:03:24,120 Speaker 1: that's not happening. So this is probably what's happening with 73 00:03:24,240 --> 00:03:28,919 Speaker 1: say Trump going to Virginia. But there is some polling 74 00:03:29,000 --> 00:03:32,080 Speaker 1: in Virginia that looks closer than it should be, right, 75 00:03:32,919 --> 00:03:36,800 Speaker 1: And also Governor Younkin, the competent Republican governor of the state, 76 00:03:37,400 --> 00:03:40,920 Speaker 1: has a good operation here that has turned out rural 77 00:03:41,000 --> 00:03:44,840 Speaker 1: voters at huge numbers and is turning out Republicans in 78 00:03:44,960 --> 00:03:47,800 Speaker 1: large numbers for early voting, So that may be the 79 00:03:47,840 --> 00:03:52,000 Speaker 1: reason for that. On the other hand, Kamala is in Texas. 80 00:03:51,960 --> 00:03:55,200 Speaker 5: Right, and we saw a lot of all read ads 81 00:03:55,240 --> 00:03:58,960 Speaker 5: in Texas. I mean, he's definitely trying for Ted Cruz 82 00:03:58,960 --> 00:04:02,240 Speaker 5: a seat, and I guess that's the motivation there maybe 83 00:04:02,240 --> 00:04:04,040 Speaker 5: some house seats well. 84 00:04:04,040 --> 00:04:06,840 Speaker 1: And I think I was trying to figure out this 85 00:04:06,960 --> 00:04:10,640 Speaker 1: Houston rally for Kamala Harris, like what's going on here 86 00:04:10,960 --> 00:04:15,280 Speaker 1: A couple things. I think there is some thought that 87 00:04:15,400 --> 00:04:21,400 Speaker 1: eventually Texas could be an emerging purplish blue state right 88 00:04:21,480 --> 00:04:24,200 Speaker 1: or at least purplish right, and so they want to 89 00:04:24,240 --> 00:04:28,400 Speaker 1: kind of reinforce that. I think they needed somewhere. They 90 00:04:28,400 --> 00:04:30,960 Speaker 1: wanted somewhere that they could do abortion messaging. Texas is 91 00:04:30,960 --> 00:04:37,960 Speaker 1: a heartbeat built state, and it's like Beyonce's hometown. 92 00:04:37,680 --> 00:04:39,080 Speaker 2: Right, that's really it. 93 00:04:39,160 --> 00:04:43,159 Speaker 4: They just wanted Beyonce to show up, and so. 94 00:04:42,960 --> 00:04:43,800 Speaker 1: You have to do. 95 00:04:44,000 --> 00:04:44,960 Speaker 3: Yeah. 96 00:04:45,320 --> 00:04:48,120 Speaker 5: So what's interesting is she did show up your you know, 97 00:04:48,200 --> 00:04:51,320 Speaker 5: the whole she doesn't really show up, but then she 98 00:04:51,360 --> 00:04:55,480 Speaker 5: didn't perform, which angered a lot of attendees. 99 00:04:56,160 --> 00:04:59,440 Speaker 1: Yeah. I almost wondered if that is that better or 100 00:04:59,480 --> 00:05:02,000 Speaker 1: worse not showing up at all. I do think it's 101 00:05:02,080 --> 00:05:04,720 Speaker 1: better than lying to people and telling them she's going 102 00:05:04,800 --> 00:05:07,120 Speaker 1: to show up and then she doesn't show up. But 103 00:05:07,240 --> 00:05:09,719 Speaker 1: she did. You know, a lot of the media hype 104 00:05:10,120 --> 00:05:14,400 Speaker 1: again was that she was coming to perform, so a 105 00:05:14,400 --> 00:05:16,320 Speaker 1: lot of people thought they were going to a mini 106 00:05:16,360 --> 00:05:20,560 Speaker 1: Beyonce concert, right, And they didn't get a mini Beyonce concert. 107 00:05:20,640 --> 00:05:23,320 Speaker 1: They got a short speech from Kelly Roland, who, by 108 00:05:23,360 --> 00:05:26,240 Speaker 1: the way, story of her life. People even talking about 109 00:05:26,240 --> 00:05:30,720 Speaker 1: the fact that she spoke there right overshadowed for far 110 00:05:30,839 --> 00:05:33,680 Speaker 1: too long. Yeah, and then Beyonce takes the stage and 111 00:05:33,680 --> 00:05:36,920 Speaker 1: gives a three minute speech. She says, I'm not here's 112 00:05:36,920 --> 00:05:39,360 Speaker 1: a celebrity, here's a mom. I don't have any issue 113 00:05:39,360 --> 00:05:42,159 Speaker 1: with the speech per se. It's like a pretty rote 114 00:05:42,320 --> 00:05:45,240 Speaker 1: political speech, but it does seem like you're kind of 115 00:05:45,279 --> 00:05:46,479 Speaker 1: letting people down a bit. 116 00:05:46,800 --> 00:05:47,440 Speaker 4: At that moment. 117 00:05:47,839 --> 00:05:50,240 Speaker 2: Yeah, I think that that's absolutely right. 118 00:05:50,320 --> 00:05:53,799 Speaker 5: And look, you know, it's funny because over the weekend, 119 00:05:53,880 --> 00:05:56,160 Speaker 5: of course we'll talk about it. But Donald Trump had 120 00:05:56,160 --> 00:05:59,640 Speaker 5: his rally in Madison Square Garden and they're not tricking 121 00:05:59,680 --> 00:06:02,239 Speaker 5: any into coming to Madison Square Gardens. 122 00:06:03,440 --> 00:06:05,080 Speaker 2: We're going to have hul Kogan there. 123 00:06:05,200 --> 00:06:08,159 Speaker 5: You know, it's not there's no you know, come here 124 00:06:08,520 --> 00:06:12,760 Speaker 5: to hear Kid Rock play, none of that, Right, it's 125 00:06:12,880 --> 00:06:15,960 Speaker 5: very much come here to hear the candidate. And he's 126 00:06:16,040 --> 00:06:19,120 Speaker 5: able to fill Medisine Square Garden that way. And she 127 00:06:19,640 --> 00:06:23,159 Speaker 5: has to say that Beyonce will be there in order 128 00:06:23,240 --> 00:06:25,960 Speaker 5: to get people to come down to her rally in Houston, 129 00:06:26,000 --> 00:06:27,080 Speaker 5: And it's really a tell. 130 00:06:27,720 --> 00:06:29,599 Speaker 1: I have a theory, by the way, about Beyonce and 131 00:06:29,640 --> 00:06:33,119 Speaker 1: not performing, which is that so Taylor Swift and Beyonce 132 00:06:33,240 --> 00:06:36,760 Speaker 1: are the two top performers in the world basically at 133 00:06:36,760 --> 00:06:40,279 Speaker 1: this point, right, Yeah, but the news cycle and the 134 00:06:40,320 --> 00:06:44,760 Speaker 1: Eras tour has certainly favored Taylor as the top woman 135 00:06:45,040 --> 00:06:47,360 Speaker 1: in this ranking for the past year and a half. 136 00:06:48,240 --> 00:06:51,640 Speaker 1: I think Beyonce is like Taylor endorsed Harris, but she's 137 00:06:51,640 --> 00:06:54,960 Speaker 1: not coming anywhere near this. I get paid a lot 138 00:06:54,960 --> 00:06:57,640 Speaker 1: of money to perform. I'm not going to be performing 139 00:06:58,000 --> 00:07:01,240 Speaker 1: for free or for a cut rate for Corobla Harris 140 00:07:01,279 --> 00:07:02,160 Speaker 1: when Taylor ain't going. 141 00:07:02,160 --> 00:07:04,520 Speaker 2: To do that, right, And there's a lot you know 142 00:07:04,640 --> 00:07:04,960 Speaker 2: to that. 143 00:07:05,800 --> 00:07:09,440 Speaker 5: Also, Beyonce's in a questionable news cycle right now with 144 00:07:09,480 --> 00:07:11,360 Speaker 5: the P Diddy stuff. I think that she's getting a 145 00:07:11,360 --> 00:07:16,000 Speaker 5: lot of unfair criticism because you know, she's not the 146 00:07:16,040 --> 00:07:18,640 Speaker 5: one having the parties. But there's a lot of like 147 00:07:18,720 --> 00:07:22,280 Speaker 5: Beyonce New Beyonce is involved Beyonce, you know all of that. 148 00:07:23,200 --> 00:07:25,640 Speaker 5: There's a lot of like you have to bow before 149 00:07:25,680 --> 00:07:28,640 Speaker 5: Beyonce in order to survive in the music industry. She's 150 00:07:28,720 --> 00:07:32,320 Speaker 5: just she's getting a lot of negativity and I don't know, 151 00:07:33,240 --> 00:07:36,000 Speaker 5: maybe she agreed to endorse before this news cycle began 152 00:07:36,040 --> 00:07:38,360 Speaker 5: because it actually doesn't fit with what's going on right now. 153 00:07:38,400 --> 00:07:40,480 Speaker 5: I think she's laying low in a lot of ways 154 00:07:40,760 --> 00:07:43,320 Speaker 5: because again of the P Didty stuff, which again I 155 00:07:43,400 --> 00:07:46,120 Speaker 5: find unfair, But is that that is what's going on 156 00:07:46,160 --> 00:07:46,920 Speaker 5: with her right now? 157 00:07:47,120 --> 00:07:48,720 Speaker 1: Yeah, And there's been a shift that she used to 158 00:07:48,720 --> 00:07:51,880 Speaker 1: be a person you basically weren't allowed to have negative 159 00:07:51,880 --> 00:07:54,840 Speaker 1: feelings about or say anything enough, And I think that 160 00:07:54,920 --> 00:07:57,280 Speaker 1: has shifted a bit, as it should not to be 161 00:07:57,360 --> 00:07:59,520 Speaker 1: unfair to her, but just like people should be able 162 00:07:59,600 --> 00:08:02,000 Speaker 1: to express that like, maybe a Beyonce album is not 163 00:08:02,200 --> 00:08:05,280 Speaker 1: the revelation that everyone else thinks it is. 164 00:08:05,280 --> 00:08:07,160 Speaker 2: Without didn't love the Country album, did you? 165 00:08:08,280 --> 00:08:10,600 Speaker 1: I actually did. I was not a hater on the 166 00:08:10,600 --> 00:08:14,040 Speaker 1: country album, although that on that single was so catchy 167 00:08:14,120 --> 00:08:16,920 Speaker 1: as to be obnoxious after a little while. 168 00:08:17,200 --> 00:08:20,760 Speaker 5: Yes, yes, I love Beyonce's music. I am a big 169 00:08:20,840 --> 00:08:24,040 Speaker 5: Beyonce fan. I've gotten into country in the last few years. 170 00:08:24,160 --> 00:08:26,360 Speaker 5: I did not love the country album. I you know, 171 00:08:26,520 --> 00:08:29,640 Speaker 5: I love her other music, but the country album did 172 00:08:29,640 --> 00:08:31,440 Speaker 5: not do it for me as a new country fan. 173 00:08:31,600 --> 00:08:33,960 Speaker 1: Yeah, I'm sort of obnoxiously middle of the road on 174 00:08:34,040 --> 00:08:37,040 Speaker 1: both Taylor Swift and Beyonce, like I like them most 175 00:08:37,120 --> 00:08:40,000 Speaker 1: of the time. I don't have big feelings. 176 00:08:39,600 --> 00:08:42,520 Speaker 5: Right, Taylor's grown on me. Having a fourteen year old daughter, 177 00:08:42,600 --> 00:08:43,280 Speaker 5: it's hard not to. 178 00:08:43,679 --> 00:08:45,959 Speaker 1: I'm at the beginning of that road, so I'm sure 179 00:08:45,960 --> 00:08:50,040 Speaker 1: I'll be in my feelings guys as we move forward. Anyway, 180 00:08:50,160 --> 00:08:53,720 Speaker 1: So let's talk about Trump's weekend. Trump held a rally 181 00:08:53,760 --> 00:08:58,600 Speaker 1: at Madison Square Garden, as you noted, and a couple 182 00:08:58,640 --> 00:09:01,679 Speaker 1: of things so that it's an interesting lineup. It's Dana White, 183 00:09:01,679 --> 00:09:07,000 Speaker 1: head of the UFC, It's doctor Phil, It's Lee Greenwood 184 00:09:07,040 --> 00:09:13,439 Speaker 1: is of course singing, and they all come together Tucker 185 00:09:13,440 --> 00:09:16,640 Speaker 1: Carlson speaking. Like you said, it's all sort of campaign affiliated. 186 00:09:16,679 --> 00:09:20,040 Speaker 1: It's not as many celebrity types, although Paul Kokin is 187 00:09:20,040 --> 00:09:21,800 Speaker 1: certainly an icon in his zone. 188 00:09:21,880 --> 00:09:22,040 Speaker 3: Right. 189 00:09:23,280 --> 00:09:26,960 Speaker 1: They fill the place. And let's first talk about the 190 00:09:26,960 --> 00:09:30,920 Speaker 1: fact that it's classified in media in this way. So 191 00:09:31,000 --> 00:09:36,600 Speaker 1: here's an MSNBC chiron. Trump's Madison Square Garden rally comes 192 00:09:36,679 --> 00:09:42,920 Speaker 1: eighty five years after pro Nazi rally at famed venue. Okay, 193 00:09:43,440 --> 00:09:45,839 Speaker 1: and here's Larry Sabato, who used to be a pretty 194 00:09:45,840 --> 00:09:50,440 Speaker 1: well respected University of Virginia political science professor who could 195 00:09:50,520 --> 00:09:53,360 Speaker 1: be trusted on election issues. But I'll let you judge 196 00:09:53,360 --> 00:09:57,120 Speaker 1: whether you should trust him. Further, I love historical documentaries. 197 00:09:57,160 --> 00:09:59,200 Speaker 1: I'm currently watching one about the nineteen thirty nine pro 198 00:09:59,280 --> 00:10:02,400 Speaker 1: Nazi rally Madison Square Garden. Oh wait, it's a live 199 00:10:02,440 --> 00:10:03,800 Speaker 1: Trump rally. My bad. 200 00:10:04,280 --> 00:10:04,640 Speaker 5: Mm hmm. 201 00:10:05,760 --> 00:10:07,560 Speaker 2: Yeah, that's crazy. It's crazy. 202 00:10:07,679 --> 00:10:10,600 Speaker 5: That is a crazy thing to say, and I think 203 00:10:10,640 --> 00:10:13,880 Speaker 5: they need to be called out on it, you know. Actually, So, 204 00:10:14,120 --> 00:10:16,199 Speaker 5: I saw Billy Joel over the weekend in Texas and 205 00:10:16,559 --> 00:10:20,760 Speaker 5: Ilia Shapiro was there as well. But Ilia tweeted he said, 206 00:10:20,800 --> 00:10:22,760 Speaker 5: those who like in Trump to Hitler and the MSG 207 00:10:22,920 --> 00:10:25,560 Speaker 5: rally to the Nazi rally isn't just smearing Trump but 208 00:10:25,679 --> 00:10:28,880 Speaker 5: minimizing Hitler Nazis, which, given the antisemitic nature of the 209 00:10:28,920 --> 00:10:32,040 Speaker 5: progressive left, may well be the point. He also tweeted, 210 00:10:32,120 --> 00:10:35,160 Speaker 5: so what the Nazis had a rally there, Billy Joel 211 00:10:35,160 --> 00:10:36,120 Speaker 5: had concerts there. 212 00:10:36,920 --> 00:10:37,559 Speaker 2: What's your point? 213 00:10:37,640 --> 00:10:40,480 Speaker 1: Basically right, I'm so surprised that Billy Joel did one 214 00:10:40,600 --> 00:10:45,200 Speaker 1: hundred and fifty Nazi reenacts at Madison Square Garden. 215 00:10:45,320 --> 00:10:47,079 Speaker 4: A nice Jewish boy from Long Island. 216 00:10:47,280 --> 00:10:51,160 Speaker 1: Silly, crazy, No, I think these are insane people thoughts. 217 00:10:51,200 --> 00:10:54,560 Speaker 1: I really do, and I try to generally understand the 218 00:10:54,600 --> 00:10:58,200 Speaker 1: takes of those in opposition to me in politics, but 219 00:10:58,280 --> 00:11:00,840 Speaker 1: I do think this one is really off the wall. 220 00:11:01,760 --> 00:11:03,520 Speaker 1: By the way, just to nitpick, I don't think Madison 221 00:11:03,559 --> 00:11:07,120 Speaker 1: Square Garden building is even the same building as the 222 00:11:07,200 --> 00:11:09,400 Speaker 1: nineteen thirties, or maybe that you with your facts. 223 00:11:09,400 --> 00:11:11,319 Speaker 2: Mary cassutation, it's. 224 00:11:11,120 --> 00:11:13,960 Speaker 1: Just like the idea that this is invoking that instead 225 00:11:14,000 --> 00:11:16,400 Speaker 1: of is oh I don't know, entire life lived in 226 00:11:16,440 --> 00:11:17,120 Speaker 1: New York City. 227 00:11:17,240 --> 00:11:17,679 Speaker 2: That's right. 228 00:11:18,040 --> 00:11:19,800 Speaker 1: It could be that. It could be that that he 229 00:11:19,880 --> 00:11:20,079 Speaker 1: was here. 230 00:11:20,160 --> 00:11:22,160 Speaker 2: It might be that angle not the Nazi. 231 00:11:22,240 --> 00:11:25,560 Speaker 5: Actually, you know, there's also the point that there were 232 00:11:25,559 --> 00:11:28,320 Speaker 5: a lot of pro Israel comments made that you know, 233 00:11:28,400 --> 00:11:31,680 Speaker 5: at the rally. I saw Jews rapping to fill in, 234 00:11:31,679 --> 00:11:35,480 Speaker 5: which is a religious practice, and Israeli flags. 235 00:11:35,800 --> 00:11:38,880 Speaker 2: It was a very welcoming event for Jews. 236 00:11:39,120 --> 00:11:42,880 Speaker 5: And it's kind of absurd that that, again, that minimization 237 00:11:43,000 --> 00:11:45,360 Speaker 5: that Elias talking about is acceptable. 238 00:11:45,720 --> 00:11:46,720 Speaker 2: It really shouldn't be. 239 00:11:47,360 --> 00:11:51,320 Speaker 1: Well, and we've been watching for more than a year now, 240 00:11:52,200 --> 00:11:59,840 Speaker 1: crowds gather with terrorist organization flags, with chants that literally 241 00:12:00,280 --> 00:12:05,520 Speaker 1: for the elimination of Jews, things projected on buildings calling 242 00:12:05,559 --> 00:12:12,640 Speaker 1: for martyrdom, checkpoints for Jewish students at UCLA, right, and 243 00:12:12,760 --> 00:12:17,240 Speaker 1: those things, somehow are not called Nazi rallies. They're not 244 00:12:17,360 --> 00:12:23,520 Speaker 1: even called Charlottesville, which I think is a fair comparison. Yeah, 245 00:12:23,559 --> 00:12:29,400 Speaker 1: but this has become the thing that is a Nazi event. 246 00:12:30,120 --> 00:12:33,880 Speaker 1: While you see actual Israel flags in the crowd, exactly. 247 00:12:34,640 --> 00:12:36,880 Speaker 1: This is just crazy talk to me, right. 248 00:12:36,880 --> 00:12:40,800 Speaker 5: And it's like permitted, You're allowed to say these insane things. 249 00:12:41,080 --> 00:12:44,280 Speaker 5: And I think that that really only happens on the left. 250 00:12:44,320 --> 00:12:47,520 Speaker 5: Only the left allowed to say outlandish, insane things and 251 00:12:47,520 --> 00:12:51,280 Speaker 5: not have their careers ruined, you know, like Alarry Sabato 252 00:12:51,360 --> 00:12:54,480 Speaker 5: of the right would be shun I actually buy people 253 00:12:54,520 --> 00:12:57,320 Speaker 5: on the right too, right, it would be like think 254 00:12:57,360 --> 00:12:59,640 Speaker 5: pieces by moderate rightists. 255 00:13:00,080 --> 00:13:02,240 Speaker 4: I was saying, like, I don't stand with this, and 256 00:13:02,280 --> 00:13:03,280 Speaker 4: this is unacceptable. 257 00:13:03,320 --> 00:13:05,120 Speaker 2: Where where is that from the left? 258 00:13:05,640 --> 00:13:06,400 Speaker 3: Right? Well? 259 00:13:06,440 --> 00:13:09,560 Speaker 1: And in addition to the so that's one story coming 260 00:13:09,600 --> 00:13:12,080 Speaker 1: out of this right and this was basically, I think 261 00:13:12,120 --> 00:13:14,920 Speaker 1: an attempt to do sort of a mini RNC event 262 00:13:15,640 --> 00:13:18,320 Speaker 1: in New York City towards the end of this campaign. Now, 263 00:13:18,559 --> 00:13:22,040 Speaker 1: I think that it looked like maybe the people who 264 00:13:22,120 --> 00:13:26,840 Speaker 1: planned the extraordinarily successful RNC should have been more involved 265 00:13:26,880 --> 00:13:29,920 Speaker 1: in this one. Yeah, because you had some things that 266 00:13:29,960 --> 00:13:32,520 Speaker 1: did not hit the right notes, including a roast comic 267 00:13:32,720 --> 00:13:37,240 Speaker 1: from Texans who told some mean jokes about as roast 268 00:13:37,280 --> 00:13:42,959 Speaker 1: comics do about Puerto Rico, Puerto Rican's hispanics, right, And 269 00:13:43,400 --> 00:13:47,240 Speaker 1: I believe there was some kind of joke about Puerto 270 00:13:47,320 --> 00:13:51,880 Speaker 1: Rico being an island of trash right and okay, so 271 00:13:53,040 --> 00:13:56,680 Speaker 1: a mitigating that he's a comic, like that's like, let's 272 00:13:56,720 --> 00:13:58,959 Speaker 1: just put that out there. He's not saying this stuff 273 00:13:59,000 --> 00:14:03,200 Speaker 1: with a like means it sincerely. But I think when 274 00:14:03,200 --> 00:14:05,200 Speaker 1: you have the happy vibes going on, as they did 275 00:14:05,280 --> 00:14:10,240 Speaker 1: for several weeks, putting mean comic on stage, who makes 276 00:14:10,320 --> 00:14:10,800 Speaker 1: me joke? 277 00:14:10,920 --> 00:14:11,439 Speaker 4: Miss? 278 00:14:11,640 --> 00:14:13,160 Speaker 1: Yeah that doesn't work for you. 279 00:14:13,520 --> 00:14:14,679 Speaker 2: Yeah it was a miss. 280 00:14:14,760 --> 00:14:18,800 Speaker 5: But of course the hysteria from the left is I mean, 281 00:14:19,000 --> 00:14:21,960 Speaker 5: come on, like, you're not that offended by that joke. 282 00:14:22,120 --> 00:14:22,600 Speaker 2: Stop it. 283 00:14:22,720 --> 00:14:26,640 Speaker 5: You know, it's something to grab onto. It's when you're 284 00:14:26,680 --> 00:14:29,360 Speaker 5: on campaigns, they call it the magic bullet. You're always 285 00:14:29,360 --> 00:14:32,040 Speaker 5: looking for the magic bullet that will take out the 286 00:14:32,120 --> 00:14:35,480 Speaker 5: other candidate. Bad joke for the Trump you know, in 287 00:14:35,760 --> 00:14:38,360 Speaker 5: the Trump era with the two assassination attempts, but that 288 00:14:38,480 --> 00:14:41,640 Speaker 5: is what it's called in campaign and they seem to 289 00:14:41,680 --> 00:14:44,520 Speaker 5: think that this joke is the magic bullet. 290 00:14:44,600 --> 00:14:45,800 Speaker 2: And I'm not so sure. 291 00:14:46,160 --> 00:14:50,080 Speaker 1: Well, they are suffering with Hispanic and Latino voters. I 292 00:14:50,120 --> 00:14:53,240 Speaker 1: think it's fair to say, hey, don't take off Hispanic 293 00:14:53,320 --> 00:14:56,400 Speaker 1: voters a week before the election with dumb jokes. Sure, 294 00:14:56,920 --> 00:14:59,280 Speaker 1: I also think that people who are inclined to vote 295 00:14:59,280 --> 00:15:03,400 Speaker 1: for Trump probably aren't the kind of people who change 296 00:15:03,440 --> 00:15:07,880 Speaker 1: their minds over that's right, bad jokes, because part of 297 00:15:07,920 --> 00:15:12,640 Speaker 1: the allure of Trump is to be in a different 298 00:15:12,680 --> 00:15:16,200 Speaker 1: place where we don't take offense to every single joke. Yeah, 299 00:15:16,320 --> 00:15:19,360 Speaker 1: maybe I could be wrong about this. I could be wrong. 300 00:15:20,160 --> 00:15:23,080 Speaker 4: It could be new voters who would take a second look. 301 00:15:23,120 --> 00:15:25,920 Speaker 5: But I agree with you largely is that Trump is 302 00:15:25,920 --> 00:15:27,720 Speaker 5: the candidate of joking. 303 00:15:27,880 --> 00:15:28,400 Speaker 2: Is okay. 304 00:15:28,840 --> 00:15:32,200 Speaker 5: Yes, even at the expense of different groups, even at 305 00:15:32,240 --> 00:15:35,600 Speaker 5: the expense of different you know, territories and states. 306 00:15:35,680 --> 00:15:38,400 Speaker 4: Yes, this is all okay. And I know I hate 307 00:15:38,440 --> 00:15:40,360 Speaker 4: the whole this is racist, Like, no, it's not. 308 00:15:40,640 --> 00:15:43,960 Speaker 5: Yeah, maybe it's anti Puerto Rican, but to anti Puerto Rico, 309 00:15:44,280 --> 00:15:46,920 Speaker 5: but it's not racist. This joke could be made about 310 00:15:46,960 --> 00:15:50,280 Speaker 5: Australia and that would be the same and there's nothing 311 00:15:50,400 --> 00:15:51,440 Speaker 5: race based about it. 312 00:15:51,680 --> 00:15:54,800 Speaker 1: Well, and it's worth noting that George Lopez on the 313 00:15:54,840 --> 00:15:59,400 Speaker 1: trail made a joke about I'm going to laugh at 314 00:15:59,400 --> 00:16:01,600 Speaker 1: it because importantly it was a better joke. It is 315 00:16:01,600 --> 00:16:02,160 Speaker 1: a better cast. 316 00:16:02,280 --> 00:16:03,240 Speaker 2: That is important. 317 00:16:03,360 --> 00:16:05,680 Speaker 1: Ye Es, if you're funny, you're gonna get away with 318 00:16:05,720 --> 00:16:08,960 Speaker 1: more that's it, Lopez said, when Trump was talking about 319 00:16:10,480 --> 00:16:12,680 Speaker 1: building the wall, He's on the trail for Harris Walls. 320 00:16:12,720 --> 00:16:14,160 Speaker 1: When you're talking about building the wall, he said, you'd 321 00:16:14,160 --> 00:16:16,680 Speaker 1: better build that in one day because the immigrants are 322 00:16:16,680 --> 00:16:19,120 Speaker 1: going to come steal your construction supplies. 323 00:16:21,040 --> 00:16:24,360 Speaker 2: So canceled. We'll be right back on normally. 324 00:16:27,960 --> 00:16:30,240 Speaker 1: I hate the environment where it's fine for them to 325 00:16:30,280 --> 00:16:32,880 Speaker 1: have these rallies at Columbia that actually do call for 326 00:16:32,920 --> 00:16:37,880 Speaker 1: the elimination of Jews. But this gathering of Jews and 327 00:16:38,000 --> 00:16:42,400 Speaker 1: Hispanics and black voters and all types in Madison Square 328 00:16:42,440 --> 00:16:45,600 Speaker 1: Garden is a Nazi rally. And telling a joke, a 329 00:16:45,640 --> 00:16:48,120 Speaker 1: bad joke that offends people on the right is bad, 330 00:16:48,160 --> 00:16:50,160 Speaker 1: But telling a bad joke or a mean joke on 331 00:16:50,200 --> 00:16:50,960 Speaker 1: the left is fine. 332 00:16:51,600 --> 00:16:51,800 Speaker 3: Right. 333 00:16:52,080 --> 00:16:55,680 Speaker 4: That's you know, that's the way it goes, the double standard. 334 00:16:56,360 --> 00:16:58,600 Speaker 1: Shall we hear a little bit about from doctor phil 335 00:16:58,840 --> 00:17:01,360 Speaker 1: who was at the rally. I was surprised that he 336 00:17:01,360 --> 00:17:03,440 Speaker 1: gave the speech. Millennia also spoke as well, a little 337 00:17:03,440 --> 00:17:04,040 Speaker 1: bit of a surprise. 338 00:17:04,200 --> 00:17:06,240 Speaker 6: Tell you what the critics are going to say when 339 00:17:06,240 --> 00:17:08,399 Speaker 6: they hear me talking about this, They're going to say, well, now, 340 00:17:08,440 --> 00:17:12,000 Speaker 6: wait a minute, come on, is it Trump a bully 341 00:17:13,240 --> 00:17:15,240 Speaker 6: and let me tell you why. The answer to that 342 00:17:15,320 --> 00:17:20,080 Speaker 6: question is no, because to be a bully, there has 343 00:17:20,160 --> 00:17:24,959 Speaker 6: to be an imbalance of power, and when there's not, 344 00:17:25,560 --> 00:17:29,160 Speaker 6: it's just called a debate. And he's just better at 345 00:17:29,200 --> 00:17:30,399 Speaker 6: it than anybody else. 346 00:17:32,320 --> 00:17:34,840 Speaker 1: He also said at one point, he's like, I know, 347 00:17:34,920 --> 00:17:37,480 Speaker 1: in Hollywood, if you come out and do this all 348 00:17:37,480 --> 00:17:39,760 Speaker 1: of a sudden, you're gonna have no job. But for me, 349 00:17:39,840 --> 00:17:40,520 Speaker 1: I don't need one. 350 00:17:42,240 --> 00:17:43,600 Speaker 2: It's good for him. 351 00:17:43,680 --> 00:17:46,879 Speaker 5: I mean, you know, I often think that these people 352 00:17:46,920 --> 00:17:50,159 Speaker 5: in safe positions like adoptor Phil type should be more outspoken. 353 00:17:50,160 --> 00:17:52,119 Speaker 4: You have nothing to worry about, just say what you think. 354 00:17:52,800 --> 00:17:55,600 Speaker 1: Uncancellable people are very important to our society. 355 00:17:55,800 --> 00:17:57,359 Speaker 2: Yes, you gotta have. 356 00:17:57,680 --> 00:18:00,720 Speaker 1: You gotta have Elon Musk too much, you sure? Yeah. 357 00:18:00,800 --> 00:18:04,360 Speaker 1: Dave Chappelle's who talented to be canceled Doctor Phil got 358 00:18:04,400 --> 00:18:06,239 Speaker 1: his Oprah money and ran with it and made the 359 00:18:06,280 --> 00:18:07,720 Speaker 1: best that he could out of it, and he didn't 360 00:18:07,760 --> 00:18:10,880 Speaker 1: need j all anymore. Dave Ramsey is another good example. 361 00:18:11,359 --> 00:18:13,520 Speaker 1: He's not going to lose his giant audience. He's never 362 00:18:13,520 --> 00:18:15,159 Speaker 1: been part of the mainstream to begin with. 363 00:18:15,560 --> 00:18:18,240 Speaker 4: Yeah, so, Joe Rogan, I mean obviously. 364 00:18:19,000 --> 00:18:22,679 Speaker 1: Yes, speaking of shall we play a clip from that? 365 00:18:23,240 --> 00:18:28,040 Speaker 1: Trump sat down for three hours with Joe Rogan. I 366 00:18:28,080 --> 00:18:30,320 Speaker 1: have listened not to all three hours of it, but 367 00:18:30,359 --> 00:18:33,600 Speaker 1: I have listened to it, and I thought he came 368 00:18:33,640 --> 00:18:39,440 Speaker 1: across interesting, a little like pretty low key. He was conversational. 369 00:18:39,480 --> 00:18:45,040 Speaker 1: Trump and Rogan seemed to enjoy him. I do think 370 00:18:45,119 --> 00:18:47,800 Speaker 1: that if Kamala were asked to do a three hour 371 00:18:47,800 --> 00:18:51,600 Speaker 1: conversation that probably wouldn't go well. I listened to her 372 00:18:51,640 --> 00:18:54,199 Speaker 1: on Brene Brown, which is kind of the these are 373 00:18:54,240 --> 00:18:58,800 Speaker 1: the mirrored existences of these campaigns. She's going on BRENEI. 374 00:18:58,840 --> 00:19:00,920 Speaker 1: Brown talking to women, He's going on Joe Rogan talking 375 00:19:00,920 --> 00:19:03,120 Speaker 1: to men. She went on Brene Brown, and I will 376 00:19:03,119 --> 00:19:05,840 Speaker 1: say she finally found an interviewer who will hear her 377 00:19:05,880 --> 00:19:12,159 Speaker 1: word souad and say that is so powerful. Right, But 378 00:19:12,240 --> 00:19:15,719 Speaker 1: it doesn't really change that it's word salad. But you know, 379 00:19:16,119 --> 00:19:19,960 Speaker 1: Trump and Rogan went down some weird roads though. 380 00:19:20,000 --> 00:19:23,400 Speaker 4: That's the Rogan show, right, that is the Rogan experience. 381 00:19:24,320 --> 00:19:28,199 Speaker 1: Yes, exactly. I kind of liked they talked about, you know, 382 00:19:28,200 --> 00:19:30,040 Speaker 1: he talked about getting to the White House and how 383 00:19:30,040 --> 00:19:33,879 Speaker 1: it actually did impact him, sort of the view from 384 00:19:33,920 --> 00:19:37,560 Speaker 1: the outside is, Oh, this guy's been everywhere, all these 385 00:19:37,600 --> 00:19:40,479 Speaker 1: luxurious places. He comes to the White House. What does 386 00:19:40,560 --> 00:19:43,399 Speaker 1: that mean to him? And he talked about sort of 387 00:19:43,440 --> 00:19:45,800 Speaker 1: being it's so beautiful. He kept going on about how 388 00:19:45,840 --> 00:19:48,359 Speaker 1: beautiful it is and the Lincoln bedroom and how long 389 00:19:48,400 --> 00:19:51,080 Speaker 1: Lincoln's bed was, and then he went into some history 390 00:19:51,119 --> 00:19:54,720 Speaker 1: about he said. He talked about how they lost their son, Tat, 391 00:19:54,840 --> 00:19:57,919 Speaker 1: his name was Tat, and they both suffered from They 392 00:19:57,920 --> 00:20:01,280 Speaker 1: didn't call it depression, they suffered from melancholy. Yeah, yeah, 393 00:20:01,840 --> 00:20:02,800 Speaker 1: and he kept saying it. 394 00:20:03,280 --> 00:20:06,400 Speaker 2: Yes, it definitely affected him. 395 00:20:06,400 --> 00:20:09,960 Speaker 5: I mean, that's what's so interesting is that Donald Trump 396 00:20:10,040 --> 00:20:12,320 Speaker 5: does have another gear and he got to show it 397 00:20:12,560 --> 00:20:15,439 Speaker 5: on Rogan. And that's what Rogan is all about. That 398 00:20:15,600 --> 00:20:18,040 Speaker 5: is what people go on Rogan to do. They go 399 00:20:18,160 --> 00:20:20,680 Speaker 5: on it to be like, you know me, but here's 400 00:20:20,800 --> 00:20:23,320 Speaker 5: three hours of me and this is where my mind 401 00:20:23,400 --> 00:20:25,080 Speaker 5: goes and this is what I get into, and this 402 00:20:25,119 --> 00:20:26,399 Speaker 5: is the random knowledge I have. 403 00:20:27,280 --> 00:20:29,399 Speaker 2: I think Trump did it, and good for him. You know, 404 00:20:29,440 --> 00:20:33,600 Speaker 2: we talked about it before on here, but Kamala should 405 00:20:33,880 --> 00:20:35,360 Speaker 2: do it. She should do it. 406 00:20:35,480 --> 00:20:38,879 Speaker 5: And the fact that she, you know, kept flirting with 407 00:20:38,920 --> 00:20:41,280 Speaker 5: the idea. But now it looks like she's definitely not 408 00:20:41,320 --> 00:20:42,399 Speaker 5: doing it. 409 00:20:42,320 --> 00:20:43,280 Speaker 2: It's unfortunate. 410 00:20:43,359 --> 00:20:45,240 Speaker 5: Rogan even said he would be fair to her. He 411 00:20:45,280 --> 00:20:50,159 Speaker 5: wants to have a conversation. It's interesting that she doesn't think. 412 00:20:50,040 --> 00:20:53,520 Speaker 1: She has to. Well, Rogan is not a mean interviewer. Sure, 413 00:20:54,040 --> 00:20:57,000 Speaker 1: yeah'll ask some probing questions, but he's not coming at you. 414 00:20:57,480 --> 00:21:00,920 Speaker 1: That's rights probably high. 415 00:21:01,000 --> 00:21:03,520 Speaker 2: You know, my people are nice, right right. 416 00:21:04,320 --> 00:21:06,359 Speaker 1: But yeah, I think look, and I also just like 417 00:21:06,400 --> 00:21:09,800 Speaker 1: long form in general because it lets people air out 418 00:21:10,000 --> 00:21:12,399 Speaker 1: their thoughts and you learned interesting things. One of the 419 00:21:12,440 --> 00:21:15,000 Speaker 1: things I think that's a reason they shouldn't have had 420 00:21:15,000 --> 00:21:16,800 Speaker 1: this comic, by the way, is because you've had so 421 00:21:16,920 --> 00:21:19,840 Speaker 1: many of these humanizing moments from Trump where he has 422 00:21:19,920 --> 00:21:22,200 Speaker 1: been a better version of himself in the last couple 423 00:21:22,240 --> 00:21:25,920 Speaker 1: of weeks, and to have him have to take responsibility 424 00:21:26,320 --> 00:21:32,320 Speaker 1: for something that wasn't him going rogue is not what 425 00:21:32,359 --> 00:21:36,160 Speaker 1: you want. Here is Rogan and Trump going down one 426 00:21:36,160 --> 00:21:39,639 Speaker 1: of the strange paths that they went down about whales 427 00:21:39,640 --> 00:21:41,080 Speaker 1: and windmills. 428 00:21:41,440 --> 00:21:43,639 Speaker 7: It's no different than leaving garbage on the ground. 429 00:21:43,840 --> 00:21:46,200 Speaker 3: How about in New Jersey. Off the coast of New Jersey, 430 00:21:46,280 --> 00:21:49,639 Speaker 3: they want to build that people are going crazy, not 431 00:21:49,800 --> 00:21:50,440 Speaker 3: to build them. 432 00:21:50,720 --> 00:21:51,600 Speaker 7: But we have them. 433 00:21:51,600 --> 00:21:54,760 Speaker 3: The whales are washing up on shore right, So in 434 00:21:54,840 --> 00:21:57,399 Speaker 3: fifty years they had one whale come ashore, now they 435 00:21:57,440 --> 00:21:59,600 Speaker 3: had like eighteen come into last year. 436 00:22:00,080 --> 00:22:02,400 Speaker 7: What is the what is happening with the whales? I've 437 00:22:02,400 --> 00:22:03,000 Speaker 7: read about this. 438 00:22:03,080 --> 00:22:05,359 Speaker 3: Well, they say that the wind drives them crazy. You know, 439 00:22:05,400 --> 00:22:07,520 Speaker 3: it's a vibration because you have those you know those 440 00:22:07,600 --> 00:22:10,040 Speaker 3: things that fifty story buildings, some of them. 441 00:22:09,920 --> 00:22:12,000 Speaker 7: Right, and they're super sensitive to vibration. 442 00:22:12,160 --> 00:22:12,640 Speaker 5: They have those. 443 00:22:13,240 --> 00:22:15,359 Speaker 3: You know, the wind is rushing, the things are blowing. 444 00:22:15,400 --> 00:22:18,760 Speaker 3: It's a vibration and it makes noise. You know what 445 00:22:18,800 --> 00:22:21,040 Speaker 3: it is. I want to be a whale psychiatrist. It 446 00:22:21,200 --> 00:22:26,160 Speaker 3: drives the whales freakin crazy, and something happens with them. 447 00:22:26,520 --> 00:22:29,440 Speaker 3: But for whatever reason, they're getting washed up on shure 448 00:22:29,560 --> 00:22:33,879 Speaker 3: and you know, and yet the environment, the environments, they 449 00:22:33,880 --> 00:22:36,560 Speaker 3: don't talk about it. I think there's nothing uglier. I 450 00:22:36,600 --> 00:22:38,359 Speaker 3: see it in Scotland, I see it all. 451 00:22:38,200 --> 00:22:38,840 Speaker 7: Over the world. 452 00:22:39,440 --> 00:22:42,280 Speaker 3: You have this beautiful valley, it's been there for you know, 453 00:22:43,040 --> 00:22:46,679 Speaker 3: in civilization thousands of years, but millions of years, and 454 00:22:46,720 --> 00:22:49,399 Speaker 3: all of a sudden you have these ugly windmills up. 455 00:22:50,840 --> 00:22:54,240 Speaker 5: He cares about this issue this is like a Trump 456 00:22:54,400 --> 00:22:57,160 Speaker 5: core issue, like we all have them. The odd thing 457 00:22:57,280 --> 00:23:01,280 Speaker 5: that we really really care about windmills is Trump's think. 458 00:23:01,960 --> 00:23:05,520 Speaker 1: I love uh. I think he hates them because they're ugly. Right, 459 00:23:05,600 --> 00:23:10,080 Speaker 1: He's like, I build buildings. This is nonsense. You're using 460 00:23:10,080 --> 00:23:12,440 Speaker 1: all this material and building this iy sore. 461 00:23:13,680 --> 00:23:16,040 Speaker 5: But the whale thing, he seems to really care about 462 00:23:16,040 --> 00:23:19,359 Speaker 5: these whales too. He's like, you're bothering the whales. 463 00:23:19,680 --> 00:23:22,320 Speaker 1: He wants to work on their mental health with them, right, 464 00:23:22,359 --> 00:23:24,520 Speaker 1: he wants to be the Brene Brown of Wales. 465 00:23:24,720 --> 00:23:28,320 Speaker 5: Yes, in retirement, George W. Bush became a painter Donald 466 00:23:28,320 --> 00:23:29,879 Speaker 5: Trump whale psychologist. 467 00:23:30,280 --> 00:23:33,000 Speaker 1: So that like this was picked out of the interview 468 00:23:33,119 --> 00:23:36,199 Speaker 1: to sort of my opponents sort of act like he 469 00:23:36,320 --> 00:23:39,679 Speaker 1: was way crazy. But no, this is great. It's a 470 00:23:39,720 --> 00:23:42,280 Speaker 1: real thing that's happening. It's a funny way to talk 471 00:23:42,320 --> 00:23:45,600 Speaker 1: about it. They're talking about the downsides of environmental policies, 472 00:23:45,640 --> 00:23:50,840 Speaker 1: which they're correct never get talked about in mainstream sources. 473 00:23:52,160 --> 00:23:55,119 Speaker 1: And I don't I don't think if that's the worst 474 00:23:55,119 --> 00:23:57,920 Speaker 1: clip from that that you have had a bad day, 475 00:23:58,000 --> 00:23:59,359 Speaker 1: You've had a good day. 476 00:23:59,680 --> 00:23:59,920 Speaker 2: Fully. 477 00:24:00,119 --> 00:24:02,399 Speaker 1: Also, there's no AI images of a whale on the 478 00:24:02,440 --> 00:24:04,359 Speaker 1: couch sitting from now and I like that. 479 00:24:04,920 --> 00:24:07,400 Speaker 5: And you know, we talked about this in a previous episode, 480 00:24:07,400 --> 00:24:10,560 Speaker 5: but Elon Musk had to prove that his rockets weren't 481 00:24:10,600 --> 00:24:14,600 Speaker 5: hitting whales, and that is somehow seen as okay. 482 00:24:14,800 --> 00:24:16,560 Speaker 2: But wanting to protect. 483 00:24:16,200 --> 00:24:20,639 Speaker 5: Whales from you know, the vibrations of windmills, that's not. 484 00:24:21,200 --> 00:24:23,280 Speaker 1: Who knew how much whale content there would be in 485 00:24:23,320 --> 00:24:24,600 Speaker 1: the last two weeks of this selection. 486 00:24:24,680 --> 00:24:27,000 Speaker 4: Who knew that this would be a hot topic. 487 00:24:27,200 --> 00:24:29,879 Speaker 1: On the on the topic of both new media and 488 00:24:30,040 --> 00:24:35,119 Speaker 1: mental health issues. AOC and Tim Walls were doing a 489 00:24:35,720 --> 00:24:39,840 Speaker 1: sort of a Twitch stream of them playing Madden. Yeah, 490 00:24:39,880 --> 00:24:41,800 Speaker 1: and I want to say that I think this is 491 00:24:41,840 --> 00:24:44,200 Speaker 1: a cute idea. I like it. 492 00:24:44,640 --> 00:24:46,800 Speaker 2: I like it. Yeah, go ahead. 493 00:24:47,080 --> 00:24:49,080 Speaker 1: I was to say, I don't know if they pulled 494 00:24:49,119 --> 00:24:52,480 Speaker 1: it off, but I do think the idea of people 495 00:24:52,520 --> 00:24:56,400 Speaker 1: playing Madden and chatting about politics sure is something that's 496 00:24:56,480 --> 00:25:00,320 Speaker 1: content that I would consume. Yes, who is the audience this? 497 00:25:00,480 --> 00:25:03,760 Speaker 5: So they're trying to reach men, right, and they're like 498 00:25:03,920 --> 00:25:05,320 Speaker 5: men play video games. 499 00:25:05,400 --> 00:25:06,399 Speaker 2: They use Twitch. 500 00:25:07,400 --> 00:25:11,080 Speaker 4: I know AOC actually does use Twitch, so it's cool. 501 00:25:11,119 --> 00:25:14,760 Speaker 4: But they're trying to reach like the especially. 502 00:25:14,480 --> 00:25:17,760 Speaker 5: Like blue collar men, it's not AOC. He should have 503 00:25:17,760 --> 00:25:21,560 Speaker 5: played Twitch with I don't even know Fetterman, John Fetterman. 504 00:25:21,680 --> 00:25:23,840 Speaker 2: He should have gotten on there and played twitch with him. 505 00:25:24,080 --> 00:25:27,760 Speaker 4: But Fetterman's been sort of absent from this campaign. I mean, 506 00:25:27,760 --> 00:25:30,560 Speaker 4: he does speak out for Kamala, but I think him 507 00:25:30,600 --> 00:25:33,439 Speaker 4: being so pro Israel, they've sort of put him by 508 00:25:33,480 --> 00:25:34,119 Speaker 4: the wayside. 509 00:25:34,160 --> 00:25:36,719 Speaker 5: A long time ago, I saw John Fetterman one night 510 00:25:36,760 --> 00:25:39,480 Speaker 5: I was splipping channels, way before he was well known. 511 00:25:39,920 --> 00:25:41,520 Speaker 5: I saw him give an interview and I was like, 512 00:25:41,600 --> 00:25:43,919 Speaker 5: this guy is going to be trouble. He was a 513 00:25:44,080 --> 00:25:48,800 Speaker 5: hardcore socialist, but he was extremely smart, extremely well spoken, 514 00:25:48,840 --> 00:25:51,800 Speaker 5: and I was like, ooh, this is someone the right 515 00:25:51,840 --> 00:25:52,400 Speaker 5: should fear. 516 00:25:52,560 --> 00:25:54,000 Speaker 4: And then of course he goes on to become a 517 00:25:54,080 --> 00:25:54,639 Speaker 4: US Senator. 518 00:25:55,000 --> 00:25:57,719 Speaker 5: And now, of course I think he's awesome on his 519 00:25:57,800 --> 00:26:00,000 Speaker 5: Israel support, but he is still very of the LFE. 520 00:26:00,680 --> 00:26:03,919 Speaker 5: He should have maybe done a video game twitch with 521 00:26:04,040 --> 00:26:05,919 Speaker 5: somebody more masculine. 522 00:26:06,359 --> 00:26:09,399 Speaker 1: Yeah, I think the I think AOC is a is 523 00:26:09,440 --> 00:26:12,520 Speaker 1: an entree into new media spaces because she is quite 524 00:26:12,520 --> 00:26:16,920 Speaker 1: good at knowing what the tone should be in these areas. 525 00:26:17,680 --> 00:26:21,160 Speaker 1: Maybe they were just like AOC's hot and is on 526 00:26:21,200 --> 00:26:22,480 Speaker 1: Twitch and knows how to play man. 527 00:26:22,680 --> 00:26:25,359 Speaker 4: So yeah, young, I'm trying to understand. 528 00:26:25,480 --> 00:26:27,040 Speaker 5: It just doesn't make any sense to me that they 529 00:26:27,080 --> 00:26:29,760 Speaker 5: would do it with her, like, especially as they're trying 530 00:26:29,800 --> 00:26:31,960 Speaker 5: to kind of say we're not this far left thing, 531 00:26:32,440 --> 00:26:36,440 Speaker 5: and AOC is known for being pretty far left. 532 00:26:36,560 --> 00:26:39,840 Speaker 1: And to that point, let's hear a clip of AOC 533 00:26:39,960 --> 00:26:43,840 Speaker 1: talking to Tim Walls about her concerns about the twenty 534 00:26:43,880 --> 00:26:46,040 Speaker 1: twenty twenty four election and moving forward. 535 00:26:46,280 --> 00:26:48,840 Speaker 5: I do not want to do four more years of 536 00:26:48,960 --> 00:26:51,840 Speaker 5: resistance nonsense under Donald Trump? 537 00:26:51,960 --> 00:26:57,880 Speaker 2: Okay, like, good god, Like, do we remember. 538 00:26:57,600 --> 00:27:00,440 Speaker 5: What it was like waking up every day and it 539 00:27:00,640 --> 00:27:02,639 Speaker 5: was some shit going on? 540 00:27:03,359 --> 00:27:04,600 Speaker 2: Yeah, yeah, we do. 541 00:27:05,040 --> 00:27:07,560 Speaker 1: I remember that. I would say a lot of that 542 00:27:07,600 --> 00:27:09,000 Speaker 1: was self inflicted. 543 00:27:10,240 --> 00:27:12,439 Speaker 2: Nonsense, is very much how I think about it. 544 00:27:13,320 --> 00:27:16,840 Speaker 1: Yeah, we're actually on the same page, AOC. So if 545 00:27:16,880 --> 00:27:22,119 Speaker 1: you could contain yourself while taking in information during a 546 00:27:22,119 --> 00:27:25,879 Speaker 1: Trump presidency and not make up, say Russiagate, that would 547 00:27:25,960 --> 00:27:29,159 Speaker 1: keep you a little bit more sane in the he 548 00:27:29,240 --> 00:27:30,240 Speaker 1: becomes president. 549 00:27:30,560 --> 00:27:30,919 Speaker 2: Yeah. 550 00:27:31,119 --> 00:27:33,960 Speaker 5: Yeah, And you know, if if the media can maybe 551 00:27:34,040 --> 00:27:37,520 Speaker 5: relax a little bit and the Washington Post change their 552 00:27:37,560 --> 00:27:40,640 Speaker 5: tagline to democracy dies in darkness, and then it did 553 00:27:40,720 --> 00:27:42,600 Speaker 5: die right is dead. 554 00:27:43,320 --> 00:27:47,840 Speaker 1: This is this is of not only is AOC concerned 555 00:27:47,880 --> 00:27:50,520 Speaker 1: about what will happen to her, but already the Washington 556 00:27:50,520 --> 00:27:53,600 Speaker 1: Post in La Times newsrooms are losing it. Because the 557 00:27:53,640 --> 00:27:57,920 Speaker 1: Washington Post and LA Times decided not to endorse a candidate. 558 00:27:58,600 --> 00:28:03,760 Speaker 1: This will now. I think presidential endorsements by newspapers are 559 00:28:03,880 --> 00:28:06,840 Speaker 1: relics of the past, as newspapers are basically relics of 560 00:28:06,880 --> 00:28:10,080 Speaker 1: the past. At this point, it does not offend except 561 00:28:10,119 --> 00:28:10,760 Speaker 1: in your post. 562 00:28:10,840 --> 00:28:11,679 Speaker 2: Let's just get that out there. 563 00:28:11,760 --> 00:28:15,199 Speaker 1: Yeah, obviously, it does not surprise me or offend me 564 00:28:15,720 --> 00:28:19,720 Speaker 1: that they would endorse Kamala Harris. I expected to see that. 565 00:28:20,960 --> 00:28:22,639 Speaker 1: I think if they were going to make this decision, 566 00:28:22,640 --> 00:28:24,399 Speaker 1: they probably should have done it a year ago and 567 00:28:24,440 --> 00:28:28,200 Speaker 1: announced it because it looks weird right before the election. 568 00:28:28,680 --> 00:28:30,560 Speaker 1: But the newsrooms are not taking it. 569 00:28:30,640 --> 00:28:34,240 Speaker 5: Well, yeah, they're they're in a bit of a huff 570 00:28:34,280 --> 00:28:38,040 Speaker 5: about it. It is interesting the non endorsement, right, So 571 00:28:38,080 --> 00:28:41,040 Speaker 5: you're right. I don't think an endorsement matters. It only 572 00:28:41,080 --> 00:28:43,520 Speaker 5: matters when, and even then it doesn't really matter. But 573 00:28:43,640 --> 00:28:46,720 Speaker 5: if they endorse the other candidate, that would be crazy. Obviously, 574 00:28:46,720 --> 00:28:49,480 Speaker 5: if any of these people endorsed Trump, it would be 575 00:28:49,920 --> 00:28:53,760 Speaker 5: a gigantic story. It's interesting that the La Times came 576 00:28:53,760 --> 00:28:57,160 Speaker 5: out with its reasoning and said that basically Kamala is 577 00:28:57,440 --> 00:29:02,040 Speaker 5: not anti Israel enough, but the Washington Post hasn't really 578 00:29:02,080 --> 00:29:05,840 Speaker 5: said anything. Jen Ruben hardest hit because she was She's 579 00:29:05,840 --> 00:29:09,280 Speaker 5: a columnist at the Washington Post, and she was applauding 580 00:29:09,440 --> 00:29:12,880 Speaker 5: the La Times people resigning when the La Times hadn't endorsed. 581 00:29:12,920 --> 00:29:15,560 Speaker 5: But of course she still is working at the Washington 582 00:29:15,560 --> 00:29:19,320 Speaker 5: Post despite USA they didn't endorse Kamala. And it's interesting 583 00:29:19,360 --> 00:29:21,040 Speaker 5: because she's also you know, she's supposed to be the 584 00:29:21,040 --> 00:29:23,640 Speaker 5: conservative and she's like as far left as anybody there. 585 00:29:23,680 --> 00:29:23,880 Speaker 1: Now. 586 00:29:25,120 --> 00:29:26,440 Speaker 2: Yeah, so that's that's where we are. 587 00:29:26,480 --> 00:29:29,440 Speaker 1: I believe she called Kamala Harris one of the greatest 588 00:29:29,560 --> 00:29:35,840 Speaker 1: speakers of all time. I'm not really even paraprage, but yeah, 589 00:29:36,480 --> 00:29:39,960 Speaker 1: a bunch of employees are quitting, a bunch of liberals 590 00:29:39,960 --> 00:29:43,680 Speaker 1: are canceling their subscriptions, and I think that energy could 591 00:29:43,720 --> 00:29:46,680 Speaker 1: be better used for like knocking doors and doing phone 592 00:29:46,680 --> 00:29:50,480 Speaker 1: banking if you're going to do activism this week, I'm 593 00:29:50,520 --> 00:29:54,840 Speaker 1: sort of surprised at how mental everybody went over it, 594 00:29:54,880 --> 00:29:57,600 Speaker 1: and I don't think it serves anyone. I think their 595 00:29:57,640 --> 00:30:00,760 Speaker 1: concern is these guys, the owners of the places, are 596 00:30:00,840 --> 00:30:04,440 Speaker 1: rich guys who are bending to Trump in anticipation of 597 00:30:04,480 --> 00:30:08,280 Speaker 1: being punished by Trump. One I would say, if you 598 00:30:08,320 --> 00:30:11,640 Speaker 1: wanted to like appease Trump in some way, you could 599 00:30:11,720 --> 00:30:14,840 Speaker 1: just make your reporters be fairer and not crazy crazy 600 00:30:15,360 --> 00:30:18,680 Speaker 1: and like not things like comparing his events to Nazi rallies. 601 00:30:18,840 --> 00:30:20,360 Speaker 1: So that would be a more effective way to do 602 00:30:20,400 --> 00:30:23,440 Speaker 1: that too. I feel like the people who canceled over 603 00:30:23,520 --> 00:30:27,840 Speaker 1: the La Times thing once they found out that he subscribed, 604 00:30:29,040 --> 00:30:31,520 Speaker 1: Like what when they found out that the reason that 605 00:30:31,640 --> 00:30:36,520 Speaker 1: La Times didn't endorse is because, oh, Kamala was too supportive, 606 00:30:37,800 --> 00:30:41,680 Speaker 1: They're like, oh, scramble, what do we do now? Virtue signal? 607 00:30:42,120 --> 00:30:44,760 Speaker 1: So I know, I wish them all luck. The Washington 608 00:30:44,800 --> 00:30:47,480 Speaker 1: Post on their Instagram this week seemed to be preparing 609 00:30:48,080 --> 00:30:52,840 Speaker 1: its readership for uh, the possibility of a loss in 610 00:30:52,880 --> 00:30:53,640 Speaker 1: the near future. 611 00:30:53,920 --> 00:30:55,360 Speaker 3: Is that right? You know? 612 00:30:55,440 --> 00:30:58,880 Speaker 1: They were like, look into you know, spiritual practices. 613 00:31:00,080 --> 00:31:01,160 Speaker 2: Religion is good again. 614 00:31:01,640 --> 00:31:05,400 Speaker 1: Yes, So best of luck to everyone as we get 615 00:31:05,400 --> 00:31:05,880 Speaker 1: through this week. 616 00:31:05,960 --> 00:31:08,400 Speaker 5: One more thing about non endorsements. You know, I was 617 00:31:08,400 --> 00:31:13,400 Speaker 5: thinking about this, Taylor Swift and Beyonce endorse Travis Kelcey 618 00:31:13,480 --> 00:31:17,000 Speaker 5: and jay Z have not. And it's interesting because Kamala 619 00:31:17,040 --> 00:31:20,600 Speaker 5: Harris needs these you know, the men vote right, that's 620 00:31:20,920 --> 00:31:24,600 Speaker 5: where she's weakest, and they couldn't get those two to 621 00:31:24,720 --> 00:31:28,000 Speaker 5: issue endorsements, especially jay Z. I think that he would 622 00:31:28,000 --> 00:31:31,320 Speaker 5: be a natural Kamala Harris voter. He seems pretty on 623 00:31:31,400 --> 00:31:34,960 Speaker 5: the left with Beyonce, I don't think, maybe not Travis Kelcey. 624 00:31:35,080 --> 00:31:39,720 Speaker 5: But it's interesting that they didn't lock down those endorsements. 625 00:31:39,720 --> 00:31:41,840 Speaker 1: What do you think it is interesting? I do think 626 00:31:41,880 --> 00:31:45,840 Speaker 1: there is a general sort of lack of enthusiasm for 627 00:31:45,960 --> 00:31:49,520 Speaker 1: a person who hasn't proven that she's good at this. 628 00:31:49,960 --> 00:31:53,040 Speaker 1: That's it, and like, so you're not going to get 629 00:31:53,080 --> 00:31:53,960 Speaker 1: those extra. 630 00:31:53,720 --> 00:31:56,600 Speaker 5: Ones, right, We're going to take a short break and 631 00:31:56,680 --> 00:31:58,080 Speaker 5: come right back with normally. 632 00:32:01,520 --> 00:32:03,400 Speaker 1: I think we have one more story or in case 633 00:32:03,440 --> 00:32:05,120 Speaker 1: you missed it, and I do not want to miss 634 00:32:05,160 --> 00:32:06,280 Speaker 1: it because it is an important one. 635 00:32:06,360 --> 00:32:11,000 Speaker 5: Casts So, there was a study done through the National 636 00:32:11,000 --> 00:32:12,720 Speaker 5: Institute of Health, and I'm going to read you a 637 00:32:12,720 --> 00:32:14,760 Speaker 5: little bit from the New York Times on the study. 638 00:32:15,200 --> 00:32:18,800 Speaker 5: The doctor Johanna Olsen Kennedy began the study in twenty fifteen, 639 00:32:18,840 --> 00:32:22,360 Speaker 5: as part of a broader, multi million dollar federal. 640 00:32:22,000 --> 00:32:25,920 Speaker 4: Project on transgender youth. She and her colleagues recruited ninety 641 00:32:25,920 --> 00:32:29,080 Speaker 4: five children from across the country and gave them puberty blockers, 642 00:32:29,400 --> 00:32:33,320 Speaker 4: which stave off the permanent physical changes like press or 643 00:32:33,360 --> 00:32:37,280 Speaker 4: a deepening voice that could exacerbate their gender distress known 644 00:32:37,320 --> 00:32:40,400 Speaker 4: as dysphoria. In the nine years since the study was 645 00:32:40,440 --> 00:32:43,080 Speaker 4: founded by the National Institute of Health, and as medical 646 00:32:43,080 --> 00:32:45,480 Speaker 4: care for the small group of adolescents became a searing 647 00:32:45,560 --> 00:32:49,240 Speaker 4: issue in American politics, doctor Olsen's Kennedy's. 648 00:32:48,840 --> 00:32:50,800 Speaker 2: Team has not published the data. 649 00:32:51,520 --> 00:32:54,800 Speaker 5: Asked why, she said the findings might fuel the kind 650 00:32:54,840 --> 00:32:57,320 Speaker 5: of political attacks that have led to the bands of 651 00:32:57,400 --> 00:33:00,240 Speaker 5: the youth gender treatments in more than twenty states, which 652 00:33:00,240 --> 00:33:03,600 Speaker 5: will be soon considered by the Supreme Court, she said, 653 00:33:04,320 --> 00:33:06,560 Speaker 5: I do not want our work to be weaponized, which 654 00:33:06,640 --> 00:33:09,520 Speaker 5: to me just means only we can weaponize our work. 655 00:33:12,280 --> 00:33:14,160 Speaker 2: Yeah. I think this is a giant story. 656 00:33:14,320 --> 00:33:17,240 Speaker 5: It's the fact that New York Times even covered it 657 00:33:16,960 --> 00:33:22,160 Speaker 5: is kind of a plus. It's insane that she got 658 00:33:22,160 --> 00:33:24,720 Speaker 5: all this funding and doesn't want to release the research 659 00:33:24,760 --> 00:33:27,920 Speaker 5: because it doesn't say what she should would say this. 660 00:33:28,000 --> 00:33:28,840 Speaker 2: Is not science. 661 00:33:28,960 --> 00:33:31,680 Speaker 5: We saw a lot of this during COVID, of course, 662 00:33:32,880 --> 00:33:38,160 Speaker 5: and it's a big deal that giving kids these hormones 663 00:33:38,720 --> 00:33:42,240 Speaker 5: has some really bad outcomes that people don't know about. 664 00:33:42,320 --> 00:33:46,320 Speaker 5: I think a lot of people think that it's harmless, 665 00:33:46,440 --> 00:33:49,360 Speaker 5: largely harmless. And of course the conversation has moved in 666 00:33:49,400 --> 00:33:53,760 Speaker 5: the last few years, and the conservative side has managed 667 00:33:53,800 --> 00:33:57,440 Speaker 5: to penetrate some of this bubble. But when you hold 668 00:33:57,520 --> 00:34:00,960 Speaker 5: back scientific studies that don't prove what you hope it 669 00:34:00,960 --> 00:34:02,800 Speaker 5: would prove, that is not science. 670 00:34:03,400 --> 00:34:05,640 Speaker 1: Yeah. In fact, I would go even further and say 671 00:34:05,640 --> 00:34:09,120 Speaker 1: it's the opposite of science. Right. You're doing an experiment, 672 00:34:09,520 --> 00:34:12,040 Speaker 1: you're finding out the results of that experiment. And when 673 00:34:12,080 --> 00:34:14,480 Speaker 1: the results of that experiment are what are not these 674 00:34:14,560 --> 00:34:19,879 Speaker 1: sort of like ridiculously policed point of view that you've 675 00:34:19,880 --> 00:34:22,960 Speaker 1: been enforcing, you withhold those results by the way that 676 00:34:22,960 --> 00:34:25,480 Speaker 1: we paid for right, We paid a lot of money 677 00:34:25,520 --> 00:34:28,200 Speaker 1: for this. And the thing is, I think a lot 678 00:34:28,239 --> 00:34:32,960 Speaker 1: of the revolt against experts, the lack of public trust, 679 00:34:33,520 --> 00:34:36,840 Speaker 1: particularly in health experts. At this point, again, some of 680 00:34:36,840 --> 00:34:41,200 Speaker 1: the allure of Trump is yeah, he does not always 681 00:34:41,480 --> 00:34:43,520 Speaker 1: now I will I'll take some hits at him for 682 00:34:43,719 --> 00:34:47,839 Speaker 1: trusting Fauci in the beginning of the pandemic. But he 683 00:34:48,040 --> 00:34:51,520 Speaker 1: is more willing to listen to more voices than the 684 00:34:51,600 --> 00:34:55,719 Speaker 1: sort of these doctors of the world, right, because those 685 00:34:55,800 --> 00:34:58,760 Speaker 1: doctors of the world and those experts end up being 686 00:34:59,400 --> 00:35:02,760 Speaker 1: propaganda to find out, end up being people who aren't 687 00:35:02,800 --> 00:35:06,080 Speaker 1: interested in finding out whether the thing they're doing is 688 00:35:06,239 --> 00:35:10,319 Speaker 1: literally harming children. Yeah, a lot of Americans look at 689 00:35:10,320 --> 00:35:14,880 Speaker 1: the idea of pubity blockers and go instinctively that seems 690 00:35:14,920 --> 00:35:18,600 Speaker 1: like not a great idea, right, but they installed. 691 00:35:18,120 --> 00:35:19,960 Speaker 4: This idea, right that it's okay. 692 00:35:20,440 --> 00:35:24,120 Speaker 5: I think that I would say that even ten years ago, 693 00:35:24,239 --> 00:35:26,280 Speaker 5: I probably believed that they were harmless. 694 00:35:26,400 --> 00:35:29,160 Speaker 2: That was the line. The line was they were harmless. 695 00:35:29,160 --> 00:35:32,040 Speaker 2: And back then I believed what health officials told me. 696 00:35:32,200 --> 00:35:33,920 Speaker 2: So that's changed. 697 00:35:34,160 --> 00:35:37,759 Speaker 1: We've been on a journey, we really have. But I 698 00:35:37,760 --> 00:35:40,960 Speaker 1: think this is a lot of a lot of sort 699 00:35:40,960 --> 00:35:44,360 Speaker 1: of the undertone of the campaigns, these two campaigns fighting 700 00:35:44,360 --> 00:35:47,839 Speaker 1: each other, is about a lack of trust in the establishment, 701 00:35:47,880 --> 00:35:50,319 Speaker 1: a lack of trust in the experts. And I was 702 00:35:50,360 --> 00:35:53,279 Speaker 1: listening to Kamala on Brene Brown actually, and the two 703 00:35:53,280 --> 00:35:56,879 Speaker 1: of them were bemoaning the idea that Trump would turn 704 00:35:57,000 --> 00:36:00,760 Speaker 1: to non experts, that they did not approve of people 705 00:36:00,840 --> 00:36:03,600 Speaker 1: who would have power who are not of the established 706 00:36:03,960 --> 00:36:11,920 Speaker 1: expert elite class, to which many Americans respond fantastic, good, fantastic. 707 00:36:12,160 --> 00:36:14,360 Speaker 1: And I do think they have this incredible blind spot 708 00:36:14,600 --> 00:36:16,239 Speaker 1: despite the fact that this is in the New York 709 00:36:16,280 --> 00:36:18,160 Speaker 1: Times and they should read that because that's the kind 710 00:36:18,160 --> 00:36:21,560 Speaker 1: of thing they read. That this is a problem. 711 00:36:22,040 --> 00:36:25,640 Speaker 5: Right, this will be largely ignored, though obviously I think 712 00:36:25,680 --> 00:36:28,120 Speaker 5: some people on the left, the usual kind of people 713 00:36:28,160 --> 00:36:30,839 Speaker 5: who touch on this kind of stuff, will pick it up. 714 00:36:31,040 --> 00:36:35,520 Speaker 5: I actually first saw it on Jesse Single's Yeah Twitter. 715 00:36:35,960 --> 00:36:39,160 Speaker 4: But in general the left will ignore. 716 00:36:38,840 --> 00:36:43,200 Speaker 1: This, which was as a detriment to the children who 717 00:36:43,239 --> 00:36:46,080 Speaker 1: are being treated. Because when you want to make drastic 718 00:36:46,360 --> 00:36:48,799 Speaker 1: this is all I'm saying with the pandemic with this, 719 00:36:49,400 --> 00:36:52,359 Speaker 1: When you want to make drastic changes, when you want 720 00:36:52,400 --> 00:36:55,080 Speaker 1: to do things that might not be able to be 721 00:36:55,120 --> 00:36:58,000 Speaker 1: clawed back, you need to have some data for me, 722 00:36:58,480 --> 00:37:00,359 Speaker 1: and convincing data. 723 00:37:01,440 --> 00:37:03,680 Speaker 2: Data. Let's let's get some and let's follow it. 724 00:37:03,760 --> 00:37:06,400 Speaker 5: I don't know, crazy crazy ideas. 725 00:37:06,000 --> 00:37:09,959 Speaker 2: From normally more wild. Thanks for joining us. 726 00:37:09,840 --> 00:37:12,719 Speaker 5: On normally normally airs Tuesdays and Thursdays, and you can 727 00:37:12,760 --> 00:37:16,160 Speaker 5: subscribe anywhere you get your podcasts. Get in touch with 728 00:37:16,239 --> 00:37:20,040 Speaker 5: us at normallythepod at gmail dot com. Thanks for listening, 729 00:37:20,120 --> 00:37:22,480 Speaker 5: and when things get weird, act normally