1 00:00:03,480 --> 00:00:07,720 Speaker 1: Hey guys, and welcome to Normally. This is the show 2 00:00:07,720 --> 00:00:10,520 Speaker 1: with normalist takes for when the news gets weird. 3 00:00:10,800 --> 00:00:12,120 Speaker 2: I am Mary Catherine. 4 00:00:11,760 --> 00:00:13,640 Speaker 3: Hamp and I am Carol Markowitz. 5 00:00:13,640 --> 00:00:18,040 Speaker 4: And the news is actually extra weird right now, extra 6 00:00:18,480 --> 00:00:21,800 Speaker 4: super weird. And this NBC is like reacting so well 7 00:00:22,000 --> 00:00:25,120 Speaker 4: to the chrump when they're doing just great. 8 00:00:25,480 --> 00:00:26,120 Speaker 2: What do you think? 9 00:00:26,440 --> 00:00:29,000 Speaker 1: I mean, their ratings were really good, partly because I 10 00:00:29,000 --> 00:00:30,640 Speaker 1: think a lot of people tuned in. 11 00:00:30,520 --> 00:00:34,960 Speaker 2: To watched the reaction, more. 12 00:00:34,800 --> 00:00:38,920 Speaker 1: People than usual, and I think both in media circles 13 00:00:39,000 --> 00:00:42,479 Speaker 1: and in liberal activist circles. But I sort of repeat myself. 14 00:00:43,640 --> 00:00:47,520 Speaker 1: You know they're processing and it's going to take a minute. 15 00:00:47,800 --> 00:00:50,519 Speaker 1: There's I think I want to kick us off with 16 00:00:50,560 --> 00:00:54,480 Speaker 1: one clip of a sort of liberal activist woman on 17 00:00:54,600 --> 00:00:59,560 Speaker 1: TikTok who sort of embodies some of the reactions in 18 00:01:00,280 --> 00:01:03,120 Speaker 1: that world online things you may be seeing on your 19 00:01:03,160 --> 00:01:05,520 Speaker 1: Facebook page. Let's hear a little bit from her. 20 00:01:06,319 --> 00:01:08,600 Speaker 5: I took the morning Degree. That's all the time we have. 21 00:01:08,800 --> 00:01:10,839 Speaker 5: Now is your time to start making a plan. Women, 22 00:01:10,880 --> 00:01:12,880 Speaker 5: I'm here to talk to you today. The first thing 23 00:01:12,920 --> 00:01:14,280 Speaker 5: you're going to do is you're going to delete your 24 00:01:14,280 --> 00:01:16,360 Speaker 5: period tracking app. I don't care what state you're in. 25 00:01:16,560 --> 00:01:19,640 Speaker 5: Go into your history, take out a paper planner, write 26 00:01:19,680 --> 00:01:21,480 Speaker 5: down your history so that you have it, because I 27 00:01:21,520 --> 00:01:23,720 Speaker 5: know that you it. You use it to track population 28 00:01:23,840 --> 00:01:25,560 Speaker 5: and all of that stuff. You can't do that in 29 00:01:25,560 --> 00:01:27,640 Speaker 5: an app anymore. Before you delete the app, you're going 30 00:01:27,680 --> 00:01:29,840 Speaker 5: to delete your data out of the app. That's not 31 00:01:30,120 --> 00:01:32,440 Speaker 5: a sure way to make sure that they can't use 32 00:01:32,440 --> 00:01:35,320 Speaker 5: it against you later, but it helps. Next thing you're 33 00:01:35,360 --> 00:01:37,640 Speaker 5: going to do, you're going to get Planned B or 34 00:01:37,760 --> 00:01:40,679 Speaker 5: it's prescription equivalent. If you are comfortable getting the prescription, 35 00:01:41,080 --> 00:01:43,040 Speaker 5: you can go to your doctor, and sometimes you can 36 00:01:43,040 --> 00:01:45,760 Speaker 5: get it for free. That version I think is called ELLA. 37 00:01:45,920 --> 00:01:48,280 Speaker 5: And then if you are not comfortable or unable to 38 00:01:48,280 --> 00:01:51,120 Speaker 5: do that with your doctor, go get Plan B in 39 00:01:51,240 --> 00:01:53,800 Speaker 5: cash at your local pharmacy. I don't care if you 40 00:01:53,800 --> 00:01:55,800 Speaker 5: don't need it right now, just keep it on your shelf. 41 00:01:55,920 --> 00:01:59,280 Speaker 1: I picked her because she's hitting all the marks of 42 00:01:59,320 --> 00:02:03,480 Speaker 1: the hysteria without actually yelling, which for an audio podcast 43 00:02:03,480 --> 00:02:05,279 Speaker 1: I just didn't want to do to you guys. 44 00:02:06,280 --> 00:02:07,440 Speaker 3: We'll have plenty of that later. 45 00:02:07,760 --> 00:02:10,959 Speaker 1: By the way, I love the idea that the government, 46 00:02:10,960 --> 00:02:15,280 Speaker 1: which like can't do rural broadband, is going to also 47 00:02:15,720 --> 00:02:17,920 Speaker 1: track my period like I have tracked my peerents as 48 00:02:17,919 --> 00:02:19,680 Speaker 1: I was fortunate, Like I haven't figured it out yet. 49 00:02:19,720 --> 00:02:21,360 Speaker 3: Right there were the app I was like, what are 50 00:02:21,360 --> 00:02:22,960 Speaker 3: these kids doing? Amazing? 51 00:02:23,960 --> 00:02:27,760 Speaker 4: And you know, we have lost elections before we I 52 00:02:27,800 --> 00:02:30,040 Speaker 4: you know, my first election that I voted was nineteen 53 00:02:30,120 --> 00:02:34,360 Speaker 4: ninety six. I've lost basically all, you know, but a 54 00:02:34,360 --> 00:02:37,120 Speaker 4: few in there. I was never like, grab all the 55 00:02:37,120 --> 00:02:40,840 Speaker 4: algebra books. They're taking away algebra from eighth graders, like, 56 00:02:40,919 --> 00:02:45,000 Speaker 4: because that's the equivalent here, that's the thinking process here. 57 00:02:45,360 --> 00:02:48,960 Speaker 3: It is somebody damaged this person, Somebody. 58 00:02:48,600 --> 00:02:50,760 Speaker 2: Made her afraid of things. 59 00:02:50,440 --> 00:02:53,880 Speaker 4: That she shouldn't be afraid of, and now she's spreading 60 00:02:53,880 --> 00:02:55,160 Speaker 4: that fear to other people. 61 00:02:55,760 --> 00:02:59,600 Speaker 1: Yeah, I think in ironically it's often sort of projection. 62 00:03:00,960 --> 00:03:04,120 Speaker 1: She would likely tell you that Trump won based on 63 00:03:04,240 --> 00:03:05,919 Speaker 1: fear while she's saying. 64 00:03:05,680 --> 00:03:06,760 Speaker 2: This, and. 65 00:03:08,600 --> 00:03:13,160 Speaker 1: It's just like you, she's also spreading misinformation, man, like 66 00:03:13,200 --> 00:03:16,000 Speaker 1: the idea that that that any of this is coming 67 00:03:16,000 --> 00:03:18,120 Speaker 1: to an end in any kind of way. I had 68 00:03:18,639 --> 00:03:22,480 Speaker 1: an old acquaintance who was offering to to marry same 69 00:03:22,520 --> 00:03:25,400 Speaker 1: sex couples before January, and I was like, do y'all 70 00:03:25,400 --> 00:03:29,040 Speaker 1: know that he's never opposed like ever yeah, ever, right. 71 00:03:29,560 --> 00:03:32,240 Speaker 4: I keep saying this, but my opposition to Trump in 72 00:03:32,280 --> 00:03:34,240 Speaker 4: the past has been that he was a moderate and 73 00:03:34,240 --> 00:03:39,000 Speaker 4: I was a conservative. So I'm confused that these people 74 00:03:39,120 --> 00:03:42,560 Speaker 4: who are on the left and or and or moderates 75 00:03:42,800 --> 00:03:45,360 Speaker 4: think that he's going to be some kind of right winger. 76 00:03:45,400 --> 00:03:49,880 Speaker 4: He never has been ever, ever, ever, ever, And he's 77 00:03:50,080 --> 00:03:51,000 Speaker 4: very malleable. 78 00:03:51,040 --> 00:03:52,600 Speaker 3: He's very open and convincing. 79 00:03:52,720 --> 00:03:54,880 Speaker 4: He I thought that the Democrats missed a lot of 80 00:03:54,920 --> 00:03:56,920 Speaker 4: opportunities in the first term to talk. 81 00:03:56,800 --> 00:03:57,560 Speaker 3: Him into stuff. 82 00:03:57,880 --> 00:03:59,120 Speaker 1: Now I get purprise. 83 00:03:59,280 --> 00:03:59,760 Speaker 2: Respected. 84 00:04:00,000 --> 00:04:02,920 Speaker 4: I hope that he doesn't take their conversations, but he 85 00:04:02,960 --> 00:04:03,720 Speaker 4: will because. 86 00:04:03,520 --> 00:04:04,520 Speaker 3: He likes so to do that. 87 00:04:04,880 --> 00:04:07,160 Speaker 1: Kim Kardashian walks through the office and is like, you 88 00:04:07,200 --> 00:04:10,880 Speaker 1: should work on pardoning people's slash criminal justice reform, and 89 00:04:10,920 --> 00:04:12,720 Speaker 1: he's like, maybe I will. 90 00:04:12,880 --> 00:04:15,800 Speaker 2: Yeah, Like that is yep. 91 00:04:15,880 --> 00:04:19,080 Speaker 4: I always say, Kim Kardashian understood the process more than 92 00:04:19,440 --> 00:04:22,039 Speaker 4: Senate you know, our House Democrats did. So who is 93 00:04:22,080 --> 00:04:24,800 Speaker 4: to blame for the Donald Trump win? Well, it's the 94 00:04:24,880 --> 00:04:29,159 Speaker 4: voter's Mary Catherine, those dastardly voters. They voted for the 95 00:04:29,160 --> 00:04:35,400 Speaker 4: wrong person. And Harris actually ran a flawless campaign. According 96 00:04:35,400 --> 00:04:38,120 Speaker 4: to the media, flawless, there were no mistakes. 97 00:04:38,440 --> 00:04:40,560 Speaker 6: And I think it's important to say that, you know, 98 00:04:41,000 --> 00:04:44,440 Speaker 6: anyone who has experienced or been in the United States 99 00:04:44,440 --> 00:04:47,040 Speaker 6: for any period of time and experience this country's history 100 00:04:47,040 --> 00:04:49,599 Speaker 6: and knows it cannot have believed that it would be 101 00:04:49,600 --> 00:04:53,119 Speaker 6: easy to elect a woman president, let alone a woman 102 00:04:53,160 --> 00:04:53,599 Speaker 6: of color. 103 00:04:53,880 --> 00:04:54,440 Speaker 3: Let's just be. 104 00:04:54,480 --> 00:04:59,560 Speaker 6: Clear, and nothing that was true yesterday about how flawlessly 105 00:04:59,640 --> 00:05:02,280 Speaker 6: this CA paign was run is not true now. I mean, 106 00:05:02,320 --> 00:05:06,800 Speaker 6: this really was an historic, flawlessly run campaign. She had 107 00:05:06,920 --> 00:05:10,160 Speaker 6: Queen Latifa never endorses anyone. She came out of doors, 108 00:05:10,520 --> 00:05:15,000 Speaker 6: you know. I mean, she had every prominent celebrity voice. 109 00:05:15,040 --> 00:05:18,600 Speaker 6: She had, she had the Taylor Swifty to the Swifties, 110 00:05:18,800 --> 00:05:21,240 Speaker 6: she had the beehive like, you could not have run 111 00:05:21,240 --> 00:05:23,080 Speaker 6: a better campaign in that short period of time. And 112 00:05:23,120 --> 00:05:24,000 Speaker 6: I think that's still. 113 00:05:23,800 --> 00:05:26,080 Speaker 4: True, and with a straight face they say that. 114 00:05:26,560 --> 00:05:29,280 Speaker 1: And this is one of those things where the overlap 115 00:05:29,400 --> 00:05:34,120 Speaker 1: of democratic activism and media is bad for them, because 116 00:05:34,200 --> 00:05:37,159 Speaker 1: what the Democratic Party actually needed was to run a primery. 117 00:05:37,480 --> 00:05:40,320 Speaker 1: What I actually needed was to focus on the fact 118 00:05:40,360 --> 00:05:42,680 Speaker 1: that Joe Biden was not for the job. Probably back 119 00:05:42,720 --> 00:05:45,880 Speaker 1: in twenty twenty one, twenty two and that they were 120 00:05:45,880 --> 00:05:47,840 Speaker 1: going to have to have a runway to something else. 121 00:05:48,240 --> 00:05:49,240 Speaker 2: They didn't do that. 122 00:05:49,480 --> 00:05:52,679 Speaker 1: Right well, Kamala Harris. Kamala Harris and the entire party 123 00:05:52,720 --> 00:05:55,400 Speaker 1: were part of covering that up. The media was part 124 00:05:55,400 --> 00:05:57,760 Speaker 1: of covering that up, which is why she had one 125 00:05:57,839 --> 00:06:00,640 Speaker 1: hundred and seven day opportunity which. 126 00:06:00,480 --> 00:06:01,200 Speaker 2: Was very short. 127 00:06:02,720 --> 00:06:06,080 Speaker 1: And also like both the party and the candidate need 128 00:06:06,120 --> 00:06:10,120 Speaker 1: to take responsibility for this. I was James Carville, who's 129 00:06:10,200 --> 00:06:13,599 Speaker 1: very emotional but still rational, said the other day, like 130 00:06:14,080 --> 00:06:16,120 Speaker 1: on the View, when she was asked what would you 131 00:06:16,160 --> 00:06:18,320 Speaker 1: do differently than Joe Biden? She couldn't come up with 132 00:06:18,320 --> 00:06:21,719 Speaker 1: an answer. Yeah, And this is the important part. That's 133 00:06:21,839 --> 00:06:25,760 Speaker 1: the only question she existed to answer. That's that's fall 134 00:06:26,240 --> 00:06:28,440 Speaker 1: And I think if you can't do that, you have 135 00:06:28,600 --> 00:06:29,279 Speaker 1: what can you do? 136 00:06:29,640 --> 00:06:31,120 Speaker 4: Queen Latifa is not going to save you. 137 00:06:31,200 --> 00:06:33,080 Speaker 3: Also, how much was Queen Latifa paid? 138 00:06:33,120 --> 00:06:35,680 Speaker 4: Because the other part of this is that apparently the 139 00:06:35,720 --> 00:06:38,360 Speaker 4: Harris campaign ran through a billion dollars and spent that 140 00:06:38,440 --> 00:06:39,920 Speaker 4: on utter nonsense. 141 00:06:40,360 --> 00:06:42,400 Speaker 3: They paid Oprah Winfrey. 142 00:06:42,000 --> 00:06:44,800 Speaker 4: A million dollars to show up a million dollars to 143 00:06:44,960 --> 00:06:45,919 Speaker 4: Oprah Winfrey. 144 00:06:46,160 --> 00:06:47,919 Speaker 3: She didn't do it for free. 145 00:06:47,640 --> 00:06:50,960 Speaker 4: Like I'm sorry, that's a really bad sign for you. 146 00:06:51,000 --> 00:06:53,880 Speaker 4: And I'm wonder if, like other celebrities got paid or 147 00:06:53,880 --> 00:06:55,640 Speaker 4: didn't get paid and now they hear this like. 148 00:06:55,640 --> 00:06:57,760 Speaker 3: Oh, I was supposed to get paid for that. 149 00:06:58,240 --> 00:07:01,760 Speaker 4: Also, she spent four four, one hundred thousand dollars a 150 00:07:01,960 --> 00:07:05,679 Speaker 4: day to put her face on the Las Vegas form. 151 00:07:06,120 --> 00:07:07,920 Speaker 4: Oh man, I'm trying that that's the official fear for 152 00:07:08,080 --> 00:07:12,560 Speaker 4: at this sphere. Why why what is that? I mean, 153 00:07:12,640 --> 00:07:15,960 Speaker 4: what a terrible use of money. And I'd be so 154 00:07:16,080 --> 00:07:18,760 Speaker 4: mad right now. If I was a donor to the 155 00:07:18,840 --> 00:07:21,600 Speaker 4: Kamala Harris campaign, I would say, this is what you 156 00:07:21,640 --> 00:07:24,360 Speaker 4: spent money on, and she'd build out that call her 157 00:07:24,440 --> 00:07:27,960 Speaker 4: daddy set in a hotel room for one hundred thousand dollars. Why, 158 00:07:28,640 --> 00:07:30,520 Speaker 4: I was the worst set I've ever seen my you know, 159 00:07:30,560 --> 00:07:32,360 Speaker 4: I showed it to my kids. We were all like, 160 00:07:32,360 --> 00:07:34,040 Speaker 4: I could do that for three hundred bucks. 161 00:07:34,080 --> 00:07:35,160 Speaker 2: Right, I mean it was. 162 00:07:35,280 --> 00:07:37,960 Speaker 1: It was truly like a two hundred dollars bill at 163 00:07:38,000 --> 00:07:39,640 Speaker 1: TJ Max that would have. 164 00:07:40,240 --> 00:07:42,880 Speaker 4: Like read fake books and some like pots. 165 00:07:42,920 --> 00:07:44,880 Speaker 1: And I have some experience with that, like I could 166 00:07:44,920 --> 00:07:46,720 Speaker 1: do with Oh okay, so you can get it for 167 00:07:46,800 --> 00:07:50,600 Speaker 1: like a hundred now it's really it's really wild. And 168 00:07:50,640 --> 00:07:54,760 Speaker 1: I think the idea was because she was this, She 169 00:07:54,960 --> 00:07:58,320 Speaker 1: was a commodity, she was a prepackaged thing. She wasn't 170 00:07:58,360 --> 00:08:01,560 Speaker 1: a person, and so so it was just like, put 171 00:08:01,640 --> 00:08:06,240 Speaker 1: cool things around her, put cool people around her, send 172 00:08:06,280 --> 00:08:09,360 Speaker 1: the signals that she is cool. Looks on the spirit, 173 00:08:09,480 --> 00:08:13,160 Speaker 1: that's a cool thing. Beyonce's cool. That's a cool thing 174 00:08:13,320 --> 00:08:18,360 Speaker 1: like And it just didn't hit voters in any way 175 00:08:18,440 --> 00:08:20,480 Speaker 1: about the things they cared about. 176 00:08:20,680 --> 00:08:22,200 Speaker 3: Now, they were like, you know, it would be cool. 177 00:08:22,280 --> 00:08:23,920 Speaker 4: How about reducing the price of eggs. 178 00:08:24,000 --> 00:08:26,800 Speaker 1: That would be cool. I feel like that's cool. Well, 179 00:08:26,800 --> 00:08:29,000 Speaker 1: and then some of the reaction to the election has 180 00:08:29,040 --> 00:08:32,200 Speaker 1: of course been to lecture them about how they shouldn't 181 00:08:32,280 --> 00:08:37,640 Speaker 1: vote based on their economic self interest. Are they letting that, 182 00:08:38,160 --> 00:08:40,920 Speaker 1: letting whether you could afford groceries cloud your judgment. 183 00:08:41,480 --> 00:08:44,120 Speaker 4: When there's so many more important issues than feeding your family. 184 00:08:45,080 --> 00:08:48,360 Speaker 1: Yeah, I think that's not a winning message for them. 185 00:08:49,480 --> 00:08:53,040 Speaker 1: I think they're not quite so coping with this yet. 186 00:08:53,480 --> 00:08:55,400 Speaker 1: But one of the things I would say to my 187 00:08:56,080 --> 00:09:00,480 Speaker 1: Democratic counterparts is that you lost. 188 00:09:00,320 --> 00:09:01,040 Speaker 2: Your own people. 189 00:09:01,559 --> 00:09:04,520 Speaker 1: Yeah, right, those are the people who left. 190 00:09:04,559 --> 00:09:05,040 Speaker 2: I think. 191 00:09:07,080 --> 00:09:09,840 Speaker 1: Someone said they were focused on Republicans who left the 192 00:09:09,840 --> 00:09:12,880 Speaker 1: Republican Party instead of on Democrats who were leaving the. 193 00:09:12,800 --> 00:09:15,040 Speaker 4: Different They were like, how about another Cheney? 194 00:09:16,800 --> 00:09:20,360 Speaker 7: And I think Democrats while I call yeah, because again 195 00:09:20,400 --> 00:09:23,040 Speaker 7: Trump is a moderate and so he was able to 196 00:09:23,160 --> 00:09:28,000 Speaker 7: unite people from both sides of the aisle and they 197 00:09:28,000 --> 00:09:31,320 Speaker 7: were able to support him without really compromising that much. 198 00:09:32,320 --> 00:09:36,200 Speaker 7: Actually it may have been Jensaki that said that, some 199 00:09:36,200 --> 00:09:41,320 Speaker 7: good thinking Jensaki. The other thing, can I note that 200 00:09:41,360 --> 00:09:44,960 Speaker 7: women are doing? And it goes into our next subject. 201 00:09:45,600 --> 00:09:46,880 Speaker 2: Is this four bu movement? 202 00:09:47,240 --> 00:09:51,760 Speaker 1: Yeah, which apparently the name comes from a fringe South 203 00:09:51,840 --> 00:09:57,920 Speaker 1: Korean feminist movement, so it debuted in the late twenty tens. 204 00:09:59,559 --> 00:10:02,520 Speaker 1: It's for B because B is a shorthand for the 205 00:10:02,520 --> 00:10:03,720 Speaker 1: word no in Korean. 206 00:10:03,880 --> 00:10:09,000 Speaker 2: So good a session. No sex, no dating, no marrying men, 207 00:10:09,360 --> 00:10:10,000 Speaker 2: no children. 208 00:10:10,280 --> 00:10:12,480 Speaker 1: Right, so that's one of the directives from. 209 00:10:12,120 --> 00:10:15,800 Speaker 4: I thought they were already doing that, right. 210 00:10:17,160 --> 00:10:17,640 Speaker 2: I don't know. 211 00:10:17,720 --> 00:10:22,760 Speaker 1: This is this type of I'm gonna call it hysterical disengagement. 212 00:10:24,080 --> 00:10:27,160 Speaker 1: I don't think it's going to help anyone win anymore elections. 213 00:10:27,679 --> 00:10:30,800 Speaker 4: Yeah, it doesn't move any votes, right, No, one's like 214 00:10:31,080 --> 00:10:35,080 Speaker 4: this is cool, this sounds amazing. I will join these women, 215 00:10:36,400 --> 00:10:38,320 Speaker 4: or I voted for Donald Trump, but now that I 216 00:10:38,360 --> 00:10:41,400 Speaker 4: see this, I will rethink that vote. There's not a 217 00:10:41,440 --> 00:10:44,120 Speaker 4: single person doing that, which is what the goal is. 218 00:10:44,200 --> 00:10:46,680 Speaker 4: I think if they thought about that, like the goal 219 00:10:46,760 --> 00:10:49,199 Speaker 4: is not to rage, the goal is not to punish, the. 220 00:10:49,160 --> 00:10:50,160 Speaker 3: Goal is not any of that. 221 00:10:50,200 --> 00:10:52,679 Speaker 4: The goal is to next time get more votes than 222 00:10:52,720 --> 00:10:56,040 Speaker 4: the other guy, they might rethink this strategy. 223 00:10:56,360 --> 00:10:57,960 Speaker 3: But I don't think any of these people are. 224 00:10:57,840 --> 00:11:00,319 Speaker 4: Thinking that far ahead. In fact, I think they think 225 00:11:00,360 --> 00:11:03,240 Speaker 4: that the country's over and democracy has ended and all 226 00:11:03,280 --> 00:11:06,280 Speaker 4: of that. Again, I don't remember taking to my bed 227 00:11:06,520 --> 00:11:10,240 Speaker 4: when John McCain lost, or Mitt Romney or you know, 228 00:11:10,440 --> 00:11:12,080 Speaker 4: Donald Trump last time, or any of that. 229 00:11:12,440 --> 00:11:16,720 Speaker 1: So I think that if it were my kids. 230 00:11:16,440 --> 00:11:20,200 Speaker 4: I'd say, I'm sorry you suffered this electoral loss. 231 00:11:20,480 --> 00:11:23,720 Speaker 1: Get over it and go to school. That's it. 232 00:11:24,040 --> 00:11:24,560 Speaker 3: Get out of that. 233 00:11:24,600 --> 00:11:27,120 Speaker 1: Oh well, that's another thing. By the way, our friend 234 00:11:27,360 --> 00:11:31,000 Speaker 1: Bethany Mandel wrote in the New York Post about moms 235 00:11:31,040 --> 00:11:34,960 Speaker 1: who are who clearly have scared the mess out of 236 00:11:34,960 --> 00:11:36,680 Speaker 1: their children over this. 237 00:11:36,960 --> 00:11:37,480 Speaker 2: Dad's too. 238 00:11:37,480 --> 00:11:40,680 Speaker 1: There's at least one dad mentioned, And this is an 239 00:11:40,720 --> 00:11:43,480 Speaker 1: ongoing problem from COVID to now where it's like, yeah, 240 00:11:43,480 --> 00:11:46,120 Speaker 1: it's the you need to stand in the breach for 241 00:11:46,160 --> 00:11:50,080 Speaker 1: your children. If you are scared of something, you can 242 00:11:50,360 --> 00:11:54,280 Speaker 1: you have perspective about it, right, Sometimes pretend you're not scared. 243 00:11:54,480 --> 00:11:58,719 Speaker 4: Dads on airplanes, yeah, considering the stability. 244 00:11:58,320 --> 00:11:59,760 Speaker 1: Them like, no, no, it's fine. 245 00:12:00,240 --> 00:12:03,440 Speaker 3: The crash. I totally think we're getting as you see. 246 00:12:03,559 --> 00:12:05,960 Speaker 1: Good for you, Carol, I thank you doing what you 247 00:12:06,080 --> 00:12:06,640 Speaker 1: need to do. 248 00:12:06,840 --> 00:12:08,480 Speaker 3: We'll be right back on normally. 249 00:12:11,880 --> 00:12:14,080 Speaker 4: When Donald Trump won the first time, we were living 250 00:12:14,120 --> 00:12:16,079 Speaker 4: in Brooklyn and my daughter was going to school in Manhattan. 251 00:12:16,200 --> 00:12:18,319 Speaker 4: She was in first grade, and I remember I stayed 252 00:12:18,360 --> 00:12:20,559 Speaker 4: up all night because when a shop to the system, 253 00:12:20,559 --> 00:12:22,120 Speaker 4: I had no id. You know, I did not think 254 00:12:22,360 --> 00:12:24,800 Speaker 4: he had any chance at all. It was unbelievable. She 255 00:12:24,840 --> 00:12:26,440 Speaker 4: wakes up in the morning and I kind of knew 256 00:12:26,520 --> 00:12:27,800 Speaker 4: what it was going to be like for her. In 257 00:12:27,840 --> 00:12:29,960 Speaker 4: New York City, the kids were going to be upset, 258 00:12:30,040 --> 00:12:32,400 Speaker 4: and they were. They were crying children in her class. 259 00:12:32,640 --> 00:12:35,680 Speaker 4: But just to praise my own parenting, I was like, hey, 260 00:12:35,760 --> 00:12:38,520 Speaker 4: I just want to tell you Donald Trump won. And 261 00:12:38,559 --> 00:12:43,120 Speaker 4: she looked at me and she's like, one what, she 262 00:12:43,240 --> 00:12:46,840 Speaker 4: was unaware he was running for anything, So oh, yeah, 263 00:12:46,840 --> 00:12:49,240 Speaker 4: that's how you the kids. First graders should be a 264 00:12:49,320 --> 00:12:51,199 Speaker 4: one what conversation, m H. 265 00:12:52,000 --> 00:12:54,560 Speaker 1: I like, my kids knew there's a presidential election going on. 266 00:12:54,600 --> 00:12:58,480 Speaker 1: They had a sort of they were underwhelmed by Kamala Harris, 267 00:12:58,520 --> 00:13:00,600 Speaker 1: but not because of me, Honestly. I let them just 268 00:13:00,640 --> 00:13:04,400 Speaker 1: listen to her, and they thought Donald Trump was sort 269 00:13:04,400 --> 00:13:09,640 Speaker 1: of funny, which actually is sort of a lesson for Democrats. 270 00:13:09,800 --> 00:13:12,600 Speaker 3: Yeah, be sort of funny about. 271 00:13:12,400 --> 00:13:13,959 Speaker 2: Why this went the way it went. 272 00:13:14,800 --> 00:13:17,480 Speaker 1: And I go, I always go back to the Harris 273 00:13:17,480 --> 00:13:22,360 Speaker 1: walls obviously. Yeah, if that is your take, you can't 274 00:13:22,400 --> 00:13:24,760 Speaker 1: convince anybody who might think something different. 275 00:13:25,080 --> 00:13:28,600 Speaker 2: That's it. So I think that's a problem for them. 276 00:13:29,000 --> 00:13:30,559 Speaker 1: Yeah. Can I also note, and I'm not going to 277 00:13:30,600 --> 00:13:32,600 Speaker 1: play the clip because it's too graphic, but there's one 278 00:13:33,679 --> 00:13:38,080 Speaker 1: one young woman it suggested that her revenge would be 279 00:13:39,040 --> 00:13:45,000 Speaker 1: throwing dirty sanitary products at the trucks of the men 280 00:13:45,440 --> 00:13:49,560 Speaker 1: who had caused this calamity man and I just had 281 00:13:49,600 --> 00:13:52,160 Speaker 1: a thought about that because she's like, Oh, they'll be 282 00:13:52,160 --> 00:13:54,040 Speaker 1: so horrified if they if they really want to control 283 00:13:54,080 --> 00:13:55,839 Speaker 1: our bodies, then you'll see. 284 00:13:55,559 --> 00:13:56,480 Speaker 2: What it's really like. 285 00:13:56,640 --> 00:14:02,240 Speaker 1: Right, every single college educator feminists has clogged a toilet at. 286 00:14:02,080 --> 00:14:05,120 Speaker 2: Some point doing the wrong thing. 287 00:14:06,040 --> 00:14:10,120 Speaker 1: And do they think it was college educated feminist plumbers 288 00:14:10,160 --> 00:14:10,640 Speaker 1: who came. 289 00:14:10,520 --> 00:14:11,120 Speaker 2: To clean that out? 290 00:14:11,200 --> 00:14:12,560 Speaker 3: Oh yeah, that's a really. 291 00:14:13,840 --> 00:14:16,199 Speaker 1: I just I just don't think you're gonna surprise them, 292 00:14:16,400 --> 00:14:16,839 Speaker 1: that's right. 293 00:14:18,920 --> 00:14:21,000 Speaker 2: Is that too much for the show? Sorry, everybody? 294 00:14:21,200 --> 00:14:23,840 Speaker 4: I mean, I think that's an excellent point. It wasn't 295 00:14:23,880 --> 00:14:26,840 Speaker 4: actually the feminists doing the plunging in there. 296 00:14:27,120 --> 00:14:29,720 Speaker 1: Yeah yeah, well I don't think you were in college 297 00:14:29,760 --> 00:14:30,480 Speaker 1: and messed that up. 298 00:14:30,520 --> 00:14:31,520 Speaker 3: Okay, yep. 299 00:14:33,120 --> 00:14:36,960 Speaker 4: The other thing is that white women are getting the 300 00:14:37,000 --> 00:14:40,960 Speaker 4: brunt of the complaints about what went wrong here from 301 00:14:40,960 --> 00:14:44,320 Speaker 4: the left. I'm talking progressive white women, not us, because 302 00:14:44,800 --> 00:14:46,840 Speaker 4: we're like, hah yeah, maybe it was our fault. 303 00:14:49,560 --> 00:14:51,400 Speaker 3: No, no, progressive white women. 304 00:14:51,480 --> 00:14:53,120 Speaker 4: And we're not going to play another joy read clip 305 00:14:53,120 --> 00:14:54,760 Speaker 4: because we have another one for later and that's just 306 00:14:54,800 --> 00:14:58,720 Speaker 4: too much joy read for any show. But she is like, 307 00:14:58,960 --> 00:15:02,280 Speaker 4: I'm not joining you or you know, resistance this time, 308 00:15:02,400 --> 00:15:04,800 Speaker 4: no pink hats this time for us. Black women are 309 00:15:04,840 --> 00:15:08,600 Speaker 4: sitting that out. And then another another clip I saw 310 00:15:08,720 --> 00:15:13,880 Speaker 4: on Instagram had this openly gay man talking about how 311 00:15:13,960 --> 00:15:15,680 Speaker 4: him and his husband now have to think about where 312 00:15:15,720 --> 00:15:17,760 Speaker 4: they're gonna live and whether the marriage is gonna be valid, 313 00:15:17,760 --> 00:15:23,160 Speaker 4: which again not a thing. And how white women like, 314 00:15:23,840 --> 00:15:26,280 Speaker 4: we're gonna wear blue bracelets to signal that they were 315 00:15:26,320 --> 00:15:29,000 Speaker 4: allies and the keep at such a wrong move for 316 00:15:29,040 --> 00:15:31,400 Speaker 4: them to do because if you were really an ally, 317 00:15:31,440 --> 00:15:34,160 Speaker 4: you wouldn't need the bracelet. I'm just like these white 318 00:15:34,200 --> 00:15:38,320 Speaker 4: women liberals keep the lift this way. I don't know 319 00:15:38,400 --> 00:15:41,880 Speaker 4: do they think when they hear these kinds of like attacks, 320 00:15:41,920 --> 00:15:45,120 Speaker 4: like real attacks on their character and on their person, 321 00:15:45,520 --> 00:15:48,360 Speaker 4: are they like, oh, they don't make me or do 322 00:15:48,440 --> 00:15:49,400 Speaker 4: they just take it? 323 00:15:49,840 --> 00:15:52,240 Speaker 1: I think they take it, and I think there is 324 00:15:52,320 --> 00:15:56,240 Speaker 1: there's a certain sub section that enjoys it, right Like there, 325 00:15:56,360 --> 00:15:59,240 Speaker 1: I saw one woman speaking, of course straight to camera 326 00:15:59,240 --> 00:16:02,280 Speaker 1: because all these selfie videos or all selfie videos, you 327 00:16:02,320 --> 00:16:05,800 Speaker 1: gotta set it up before you cry. And she's like, 328 00:16:06,240 --> 00:16:09,200 Speaker 1: she's like, it's not for you to decide whether you're 329 00:16:09,320 --> 00:16:13,560 Speaker 1: safe for black and brown women, It's for them to decide. 330 00:16:13,680 --> 00:16:17,520 Speaker 1: And it's like this self flagellation is so stuck in 331 00:16:17,600 --> 00:16:21,560 Speaker 1: twenty twenty. Yeah, and I think people are done. 332 00:16:21,320 --> 00:16:22,760 Speaker 2: With it, and I'd be so. 333 00:16:23,480 --> 00:16:23,680 Speaker 6: Yeah. 334 00:16:23,840 --> 00:16:28,480 Speaker 1: Emo reactions are not a small part of what was 335 00:16:28,520 --> 00:16:31,480 Speaker 1: rejected onto it, right Yeah, And. 336 00:16:31,520 --> 00:16:32,400 Speaker 3: You can never be right. 337 00:16:32,480 --> 00:16:34,960 Speaker 4: It's a circular firing squad. As I like to say, 338 00:16:34,960 --> 00:16:39,400 Speaker 4: that circular firing squad. They never miss they always hit somebody. 339 00:16:39,560 --> 00:16:43,440 Speaker 4: So if you're in that squad, like, maybe take a 340 00:16:43,440 --> 00:16:45,760 Speaker 4: step out, because it's going to be you one day. 341 00:16:45,840 --> 00:16:47,120 Speaker 4: Yeah it's white liberal. 342 00:16:46,800 --> 00:16:49,560 Speaker 3: Women today, but it could be anybody at any time. 343 00:16:49,600 --> 00:16:53,160 Speaker 4: Black men have been targeted for for that circular firing squad. 344 00:16:53,160 --> 00:16:56,240 Speaker 4: Occasionally they don't do enough of you know, black men, 345 00:16:56,320 --> 00:16:58,560 Speaker 4: I've heard or the white men of black people. 346 00:16:58,960 --> 00:17:01,000 Speaker 2: That's literally some thing people used to say. 347 00:17:02,440 --> 00:17:05,600 Speaker 4: And you know, so if you're in that leftist circular 348 00:17:05,640 --> 00:17:08,159 Speaker 4: firing squad, like, just no, they're going to come for 349 00:17:08,320 --> 00:17:09,320 Speaker 4: you eventually. 350 00:17:09,560 --> 00:17:11,920 Speaker 3: It might not be you today, but it will be sometime. 351 00:17:12,400 --> 00:17:15,200 Speaker 1: And a lot of people that used to be doing 352 00:17:15,240 --> 00:17:18,080 Speaker 1: that have and we're in your coalition have opted out. 353 00:17:18,440 --> 00:17:19,840 Speaker 2: As a result, by the. 354 00:17:19,840 --> 00:17:21,879 Speaker 1: Latino men are getting a lot of you know, men 355 00:17:21,920 --> 00:17:25,160 Speaker 1: and women are getting a lot of blowback because those 356 00:17:25,160 --> 00:17:30,000 Speaker 1: demographics moved toward Trump. But every demographic moved to toward 357 00:17:30,040 --> 00:17:34,400 Speaker 1: Trump except for college educated white women. I believe it's 358 00:17:34,400 --> 00:17:36,600 Speaker 1: the that's the one that no, I. 359 00:17:36,520 --> 00:17:39,840 Speaker 4: Think it's I think it's all women because black women 360 00:17:39,880 --> 00:17:41,159 Speaker 4: also did not move for Trump. 361 00:17:41,240 --> 00:17:46,880 Speaker 1: So so like the number of demographics that moved toward 362 00:17:47,000 --> 00:17:51,240 Speaker 1: Trump that are people you consider allies. 363 00:17:50,840 --> 00:17:52,240 Speaker 2: That should be in your coalition. 364 00:17:52,520 --> 00:17:56,240 Speaker 1: Yeah, so far out numbers those who moved toward the 365 00:17:56,280 --> 00:17:58,879 Speaker 1: Democratic Party. That's the thing you need to think about. 366 00:17:58,880 --> 00:18:00,720 Speaker 1: Did you see the stat that was like some exit 367 00:18:00,760 --> 00:18:04,760 Speaker 1: polling that sixty plus percent of American Indians very. 368 00:18:04,920 --> 00:18:08,840 Speaker 4: That's so good, every one of those like, you know, 369 00:18:08,920 --> 00:18:11,560 Speaker 4: and this person's unsafe, and that person's unsafe, and Indigenous 370 00:18:11,560 --> 00:18:13,639 Speaker 4: people are unsafe, and Indigenous people are like, we're going 371 00:18:13,720 --> 00:18:14,480 Speaker 4: to be over here now. 372 00:18:15,560 --> 00:18:16,560 Speaker 2: It's really amazing. 373 00:18:16,760 --> 00:18:19,600 Speaker 1: I do think the again I said, I'd like a 374 00:18:19,720 --> 00:18:21,479 Speaker 1: decisive victory no matter what happens. 375 00:18:21,640 --> 00:18:23,560 Speaker 2: Yeah, And this one was so decisive. 376 00:18:23,160 --> 00:18:25,679 Speaker 1: Across the board that I think it is going to 377 00:18:25,800 --> 00:18:28,439 Speaker 1: force a lot of people on the left to reckon 378 00:18:28,520 --> 00:18:31,680 Speaker 1: with it eventually, I will. I'll take another couple of 379 00:18:31,760 --> 00:18:32,560 Speaker 1: losses before that. 380 00:18:32,920 --> 00:18:33,600 Speaker 3: Yeah, I don't know. 381 00:18:33,760 --> 00:18:39,040 Speaker 4: I mean another point of data. Forty eight states moved 382 00:18:39,080 --> 00:18:42,920 Speaker 4: to the right, all but Utah and Washington State. And 383 00:18:43,040 --> 00:18:45,639 Speaker 4: what I heard about Utah is that it was so 384 00:18:45,960 --> 00:18:47,919 Speaker 4: on the right that there wasn't just that much space 385 00:18:48,000 --> 00:18:51,199 Speaker 4: to move to the right, So I'm what you need 386 00:18:51,280 --> 00:18:51,359 Speaker 4: to do. 387 00:18:51,560 --> 00:18:53,480 Speaker 3: Yeah, you can't just all least so far. 388 00:18:53,400 --> 00:18:53,880 Speaker 2: You can go. 389 00:18:55,440 --> 00:18:57,919 Speaker 4: So yeah, forty eight states moved to the right, including 390 00:18:57,960 --> 00:18:59,000 Speaker 4: California and New York. 391 00:18:59,160 --> 00:19:00,680 Speaker 1: Because it's gonna be some soul searching. 392 00:19:00,840 --> 00:19:04,080 Speaker 3: I again don't know that there will be, but let's hope. 393 00:19:04,800 --> 00:19:06,240 Speaker 1: A notable I don't know if I said this on 394 00:19:06,280 --> 00:19:11,800 Speaker 1: the last podcast, but that that referendum that increased about 395 00:19:11,840 --> 00:19:15,760 Speaker 1: initiatives that increased punishments for shoplifting and drug offenses in 396 00:19:15,800 --> 00:19:21,240 Speaker 1: California passed at like seventy plus percent all over the state. 397 00:19:22,000 --> 00:19:25,439 Speaker 1: And meanwhile, Gavin Newsome future of the Democratic Party is like, 398 00:19:25,680 --> 00:19:30,359 Speaker 1: I am ready to resist the Trump administration. It's like, 399 00:19:30,400 --> 00:19:32,480 Speaker 1: I'm not sure that your state is ready for that. 400 00:19:32,560 --> 00:19:35,960 Speaker 1: I think I told you that they're resisting you, right, 401 00:19:36,160 --> 00:19:37,840 Speaker 1: liberal governance in their towns. 402 00:19:38,280 --> 00:19:41,760 Speaker 4: Yeah, well, this is all shaping up to be a 403 00:19:41,920 --> 00:19:46,959 Speaker 4: really happy Thanksgiving. That's the country. I think families are 404 00:19:46,960 --> 00:19:50,439 Speaker 4: getting ready to hopefully not be at each other's throats. 405 00:19:50,440 --> 00:19:56,440 Speaker 4: But it certainly seems like the media, particularly MSNBC and CNN, 406 00:19:56,800 --> 00:19:59,920 Speaker 4: are setting it up that perhaps they want to encourage 407 00:20:00,080 --> 00:20:04,040 Speaker 4: people to argue with their Trump relatives Joy Reid. Second 408 00:20:04,080 --> 00:20:06,760 Speaker 4: clip from her Today had on a psychologist, and she 409 00:20:06,880 --> 00:20:10,800 Speaker 4: asked her if the psychologist recommends being around those awful 410 00:20:10,840 --> 00:20:14,000 Speaker 4: family members who voted differently than you did. 411 00:20:14,080 --> 00:20:15,960 Speaker 6: How do you interact with people who you know voted 412 00:20:15,960 --> 00:20:18,480 Speaker 6: for this right if you are an LGBTQ person and 413 00:20:18,520 --> 00:20:21,480 Speaker 6: you know someone in your family voted essentially against your rights, 414 00:20:21,520 --> 00:20:23,680 Speaker 6: or you're a woman knowing that you know this man 415 00:20:23,800 --> 00:20:27,119 Speaker 6: was calling people the B word. Jade Vance was literally 416 00:20:27,160 --> 00:20:29,800 Speaker 6: calling Kamala Harris the trash and said we're going to 417 00:20:29,880 --> 00:20:32,120 Speaker 6: take out the trash. I know a lot of black 418 00:20:32,119 --> 00:20:34,960 Speaker 6: women were incredibly triggered by that. And if you then 419 00:20:35,000 --> 00:20:37,160 Speaker 6: meet somebody and you know they voted for the people 420 00:20:37,200 --> 00:20:39,960 Speaker 6: who called you trash, or if you're Puerto Rican, you 421 00:20:39,960 --> 00:20:42,960 Speaker 6: know and you know someone voted that way, do you recommend, 422 00:20:43,000 --> 00:20:45,920 Speaker 6: just from a psychological standpoint, being around them. We got 423 00:20:45,920 --> 00:20:47,080 Speaker 6: the holidays coming up. 424 00:20:48,280 --> 00:20:50,959 Speaker 8: So I love that you asked this question because you 425 00:20:51,000 --> 00:20:53,560 Speaker 8: know there is a push, I think just a societal 426 00:20:53,600 --> 00:20:57,239 Speaker 8: norm that if somebody is your family, that they are 427 00:20:57,400 --> 00:21:00,600 Speaker 8: entitled to your time. And I think think the answer 428 00:21:00,720 --> 00:21:04,040 Speaker 8: is absolutely not. So if you are going to a 429 00:21:04,080 --> 00:21:06,760 Speaker 8: situation where you have family members where you have close 430 00:21:06,800 --> 00:21:11,240 Speaker 8: friends who you know have voted in ways that are 431 00:21:11,240 --> 00:21:15,119 Speaker 8: against you, like what you said, against your livelihood, and 432 00:21:15,480 --> 00:21:18,840 Speaker 8: it's completely fine to not be around those people and 433 00:21:18,880 --> 00:21:21,119 Speaker 8: to tell them why, you know, to say I have 434 00:21:21,200 --> 00:21:24,040 Speaker 8: a problem with the way that you voted because it 435 00:21:24,080 --> 00:21:26,760 Speaker 8: went against my very livelihood and I'm not going to 436 00:21:26,760 --> 00:21:28,679 Speaker 8: be around you this holiday. I need to take some 437 00:21:28,800 --> 00:21:31,680 Speaker 8: space for me and I actually talk to you know, 438 00:21:31,880 --> 00:21:36,440 Speaker 8: adults as well as advising parents for children. I mean, 439 00:21:36,480 --> 00:21:38,640 Speaker 8: I think, you know, I don't think that you should 440 00:21:38,680 --> 00:21:41,000 Speaker 8: force children. I don't think you should have forced adults 441 00:21:41,000 --> 00:21:43,240 Speaker 8: to be around people just because they're your family. I 442 00:21:43,280 --> 00:21:47,680 Speaker 8: think there's a level of, you know, need to establish boundaries. 443 00:21:47,720 --> 00:21:50,399 Speaker 8: And if you feel like you need to establish boundaries 444 00:21:50,400 --> 00:21:53,280 Speaker 8: with people, whether they're your family or not, I think 445 00:21:53,480 --> 00:21:55,480 Speaker 8: you should very much be entitled to do so, and 446 00:21:55,520 --> 00:21:58,240 Speaker 8: I think it may be essential for your mental health. 447 00:21:58,359 --> 00:21:59,760 Speaker 3: Yeah, I don't know. 448 00:22:00,480 --> 00:22:04,640 Speaker 4: I am of the don't split apart from your family 449 00:22:05,119 --> 00:22:05,920 Speaker 4: or your close. 450 00:22:05,760 --> 00:22:07,280 Speaker 3: Friends do over politics. 451 00:22:07,720 --> 00:22:10,919 Speaker 4: On X this account, this small account went viral for 452 00:22:10,960 --> 00:22:14,560 Speaker 4: posting that people should cut off their family members. And look, 453 00:22:14,880 --> 00:22:17,719 Speaker 4: you know, a small account on x saying something whatever, 454 00:22:17,880 --> 00:22:20,840 Speaker 4: but that person got all of these comments, including from 455 00:22:20,880 --> 00:22:23,520 Speaker 4: people who said they were cutting off their. 456 00:22:23,520 --> 00:22:25,880 Speaker 3: Children and never seeing their grandchildren, and. 457 00:22:25,800 --> 00:22:28,480 Speaker 4: It's just crushing. And I can't imagine what. 458 00:22:28,320 --> 00:22:29,520 Speaker 3: My kids would need to believe. 459 00:22:29,560 --> 00:22:32,240 Speaker 4: And I've made the joke like maybe you know, even 460 00:22:32,280 --> 00:22:34,920 Speaker 4: if they come home in a Stalin shirt, I'll be like, h, 461 00:22:35,520 --> 00:22:37,400 Speaker 4: he killed a lot of our family members. Please don't 462 00:22:37,400 --> 00:22:39,239 Speaker 4: wear that. But I would never be like, and you're 463 00:22:39,280 --> 00:22:43,760 Speaker 4: not welcome in my home. Belief is just that, and 464 00:22:43,960 --> 00:22:46,920 Speaker 4: you can't and you shouldn't be cutting off family members 465 00:22:47,359 --> 00:22:50,880 Speaker 4: for what they believe and who they voted for, families everything, 466 00:22:51,080 --> 00:22:54,399 Speaker 4: And you know, I really think that people need to 467 00:22:54,440 --> 00:22:56,760 Speaker 4: hear that, they need to hear that family is important 468 00:22:56,840 --> 00:22:58,960 Speaker 4: and your politics are less important than that. 469 00:22:59,440 --> 00:23:03,639 Speaker 1: Yeah, I think the people that folks should set healthy 470 00:23:03,680 --> 00:23:08,879 Speaker 1: boundaries with first are like joy read, you know, because 471 00:23:09,640 --> 00:23:11,960 Speaker 1: because a lot of this truly, and I know that 472 00:23:12,240 --> 00:23:14,960 Speaker 1: some people really are hurting. And I thought the same 473 00:23:14,960 --> 00:23:17,040 Speaker 1: thing during COVID. I thought there were people who were 474 00:23:18,080 --> 00:23:21,840 Speaker 1: really hurting who shouldn't have to be because a lot 475 00:23:21,840 --> 00:23:24,720 Speaker 1: of things had been ginned up to make them very scared, 476 00:23:25,240 --> 00:23:25,840 Speaker 1: and that. 477 00:23:25,680 --> 00:23:28,399 Speaker 2: That was a systematic effort. And I didn't like that. 478 00:23:28,920 --> 00:23:31,040 Speaker 1: And I know that yelling people yelling at people about 479 00:23:31,040 --> 00:23:33,880 Speaker 1: their anxiety probably doesn't solve their anxiety, but like there 480 00:23:33,880 --> 00:23:37,720 Speaker 1: needs to be some evaluation of how much of this 481 00:23:38,240 --> 00:23:44,480 Speaker 1: angst is self inflicted, because if you're cutting off family members, 482 00:23:45,040 --> 00:23:46,960 Speaker 1: I would suggest that you wait for Trump to like 483 00:23:48,040 --> 00:23:53,760 Speaker 1: do something first, right, Yeah, that would if you. I 484 00:23:53,800 --> 00:23:56,280 Speaker 1: actually heard somebody who had who is very on the 485 00:23:58,000 --> 00:24:01,000 Speaker 1: never Trump side of the folks who the Republican Party 486 00:24:01,000 --> 00:24:04,200 Speaker 1: over him, who said, like, yeah, I think one of 487 00:24:04,240 --> 00:24:06,440 Speaker 1: the better things that we could do as never Trump 488 00:24:06,520 --> 00:24:09,080 Speaker 1: people and that the media could do is actually evaluate 489 00:24:09,160 --> 00:24:11,320 Speaker 1: what he does balls and joke. 490 00:24:12,119 --> 00:24:12,760 Speaker 2: It's bold. 491 00:24:12,920 --> 00:24:15,760 Speaker 1: It's a bold strategy, and I think it's one that 492 00:24:15,800 --> 00:24:18,840 Speaker 1: many people should undertake, and it would keep them a 493 00:24:18,920 --> 00:24:22,679 Speaker 1: little bit more between the navigational beacons because this is 494 00:24:23,480 --> 00:24:25,920 Speaker 1: I get it. Look, you want to set some healthy boundaries. 495 00:24:26,480 --> 00:24:28,800 Speaker 1: Sure that if you feel this way, the rest of 496 00:24:28,840 --> 00:24:31,000 Speaker 1: your family is going to have a great time with 497 00:24:31,040 --> 00:24:34,920 Speaker 1: you anyway. But like, it's very sad, like you say, 498 00:24:34,960 --> 00:24:37,159 Speaker 1: I have plenty of friends of family who disagree with me, 499 00:24:37,520 --> 00:24:41,960 Speaker 1: always have and they know it. I talk about it publicly, 500 00:24:42,600 --> 00:24:44,800 Speaker 1: and you know, I. 501 00:24:44,800 --> 00:24:48,600 Speaker 2: Just think it. It's very tragic to end up. 502 00:24:48,720 --> 00:24:50,720 Speaker 4: Yeah, this place, we're going to take a short break 503 00:24:50,720 --> 00:24:56,200 Speaker 4: and come right back with normally, But if you didn't 504 00:24:56,240 --> 00:24:59,640 Speaker 4: talk politics with the people in your family that disagree 505 00:24:59,640 --> 00:25:02,040 Speaker 4: with you. I mean, I always think about this, like, 506 00:25:02,119 --> 00:25:05,040 Speaker 4: you guys are not solving anything. Nobody's solving anything at 507 00:25:05,040 --> 00:25:07,720 Speaker 4: the Thanksgiving table, Like, oh okay, now that we have 508 00:25:07,800 --> 00:25:11,280 Speaker 4: screamed at each other and ruined thingsgiving, things will be 509 00:25:11,280 --> 00:25:13,840 Speaker 4: better in the country. Like that doesn't happen. So maybe 510 00:25:13,880 --> 00:25:16,600 Speaker 4: just argue about you know, marshmallows on sweet potatoes, because 511 00:25:17,000 --> 00:25:17,760 Speaker 4: I'm pretty in for that. 512 00:25:17,840 --> 00:25:17,919 Speaker 6: Well. 513 00:25:18,080 --> 00:25:20,359 Speaker 1: By the way, I would say that you're if you 514 00:25:20,359 --> 00:25:22,320 Speaker 1: are a person of the left and who would like 515 00:25:22,359 --> 00:25:25,240 Speaker 1: for the Democratic Party to win more elections, you're not 516 00:25:25,560 --> 00:25:28,080 Speaker 1: helping by disengaging from the people that they need to 517 00:25:28,119 --> 00:25:29,200 Speaker 1: woo back into the party. 518 00:25:29,320 --> 00:25:31,120 Speaker 3: Yep, especially people you love. 519 00:25:31,960 --> 00:25:34,160 Speaker 1: Yes, those could be the people you might be most 520 00:25:34,280 --> 00:25:38,600 Speaker 1: convincing with, right, So I think that's a bad idea 521 00:25:38,600 --> 00:25:40,320 Speaker 1: of speaking of things that he's done. By the way, 522 00:25:40,320 --> 00:25:45,160 Speaker 1: that might be interesting to those who are scared. Did 523 00:25:45,200 --> 00:25:47,359 Speaker 1: you know that he named his chief of staff Carol 524 00:25:47,560 --> 00:25:51,160 Speaker 1: That's right, Yeah, Jusey Wiles, Susie Wiles as chief staff. 525 00:25:51,160 --> 00:25:55,360 Speaker 1: By the way, Trump has had now the first female 526 00:25:55,359 --> 00:25:59,000 Speaker 1: campaign manager to win a presidential election. That was Kelly 527 00:25:59,000 --> 00:26:02,200 Speaker 1: and Conway and Susie Wiles. The incoming chief of staff 528 00:26:02,200 --> 00:26:04,960 Speaker 1: for the White House will be the first female chief 529 00:26:04,960 --> 00:26:05,760 Speaker 1: of staff for the White. 530 00:26:05,640 --> 00:26:07,400 Speaker 3: Someone's like, you value women? 531 00:26:08,000 --> 00:26:11,760 Speaker 4: Yeah, maybe he actually isn't anti women the way that 532 00:26:11,800 --> 00:26:15,040 Speaker 4: they say, or are they wearing the like, you know, 533 00:26:15,119 --> 00:26:17,200 Speaker 4: the the red outfit. I forgot what it's called. 534 00:26:17,240 --> 00:26:20,400 Speaker 1: Oh yeah, the Handmaid's t handmaid Yeah, that's actually they're 535 00:26:20,400 --> 00:26:22,359 Speaker 1: going to do. Any Liebowitz is going to do a 536 00:26:22,359 --> 00:26:24,760 Speaker 1: photoshoot for Susie Wiles like she does for all liberal women, 537 00:26:24,800 --> 00:26:27,720 Speaker 1: except she's going to require that Susie Will's wear the 538 00:26:27,760 --> 00:26:28,840 Speaker 1: Handmaid's tail outfit. 539 00:26:30,040 --> 00:26:30,520 Speaker 2: That's right. 540 00:26:31,320 --> 00:26:34,400 Speaker 3: Well, I'm sure religious figures. 541 00:26:33,960 --> 00:26:37,879 Speaker 4: Are saying what we're saying, right that perhaps don't argue 542 00:26:37,880 --> 00:26:40,560 Speaker 4: with your families over Thanksgiving, don't cut people. 543 00:26:40,359 --> 00:26:43,160 Speaker 3: Off or u and stuff like that. 544 00:26:43,240 --> 00:26:48,359 Speaker 4: However, Jonathan Kapeart at MSNBC interviewed a bishop who is 545 00:26:48,400 --> 00:26:49,120 Speaker 4: not saying that. 546 00:26:49,359 --> 00:26:50,200 Speaker 3: That's roll the clip. 547 00:26:50,600 --> 00:26:55,879 Speaker 9: The thing that I'm grappling with is that someone was 548 00:26:55,880 --> 00:27:05,399 Speaker 9: elected who ran a campaign that was openly hostile openly racist, xenophobic, misogynistic, 549 00:27:05,520 --> 00:27:11,480 Speaker 9: transphob to everything. And yet now the election's over, folks 550 00:27:11,960 --> 00:27:14,679 Speaker 9: accept the results. But now how do we How do 551 00:27:14,760 --> 00:27:18,199 Speaker 9: we move forward when we know the people in you 552 00:27:18,440 --> 00:27:20,800 Speaker 9: have people in their families who voted for him, They 553 00:27:20,840 --> 00:27:23,399 Speaker 9: work with people who voted for him, They live next 554 00:27:23,400 --> 00:27:25,480 Speaker 9: to people who voted for him. 555 00:27:25,800 --> 00:27:26,600 Speaker 7: What do you. 556 00:27:28,600 --> 00:27:32,480 Speaker 9: How do we how should we deal with those neighbors, 557 00:27:32,560 --> 00:27:34,280 Speaker 9: co workers, family members. 558 00:27:34,920 --> 00:27:37,320 Speaker 10: Well, first of all, we have to remain passionate about 559 00:27:37,320 --> 00:27:43,000 Speaker 10: protecting these most vulnerable people. You're absolutely right. If this 560 00:27:43,240 --> 00:27:46,800 Speaker 10: new president does half of what he says, there will 561 00:27:46,840 --> 00:27:49,520 Speaker 10: be so many of them in danger. I think the 562 00:27:49,560 --> 00:27:52,560 Speaker 10: way to move forward with in a family or in 563 00:27:52,600 --> 00:27:56,080 Speaker 10: the whole culture is this. Every religion in the world 564 00:27:56,200 --> 00:27:58,720 Speaker 10: has some version of do under others as you would 565 00:27:58,760 --> 00:28:02,000 Speaker 10: have them do under you. Love your neighbor, even love 566 00:28:02,040 --> 00:28:05,840 Speaker 10: your enemies. Those of us Christians have. And here's the trick. 567 00:28:06,400 --> 00:28:09,080 Speaker 10: Loving has little to do with liking. You don't have 568 00:28:09,160 --> 00:28:12,159 Speaker 10: to like someone to treat them like the child of 569 00:28:12,200 --> 00:28:14,920 Speaker 10: God they are. You can argue with them, you can 570 00:28:14,960 --> 00:28:18,119 Speaker 10: fight with them over all kinds of things, but you 571 00:28:18,200 --> 00:28:21,879 Speaker 10: can't not treat them as a person of worth and 572 00:28:22,000 --> 00:28:24,440 Speaker 10: respect that God que him to be. 573 00:28:24,880 --> 00:28:28,520 Speaker 4: He confirms, for kypart, that so many Americans are going 574 00:28:28,520 --> 00:28:31,360 Speaker 4: to be in danger. I do not like that from 575 00:28:31,760 --> 00:28:34,320 Speaker 4: a religious leader at all, but I guess that's the 576 00:28:34,320 --> 00:28:34,760 Speaker 4: guy who. 577 00:28:34,720 --> 00:28:35,880 Speaker 3: Goes on MSNBC. 578 00:28:36,240 --> 00:28:38,160 Speaker 1: Well, he comes back around at the enemies like you 579 00:28:38,160 --> 00:28:41,040 Speaker 1: should treat people with respect, and I assume like it 580 00:28:41,120 --> 00:28:44,160 Speaker 1: seemed quite clear that he included people who voted the 581 00:28:44,160 --> 00:28:48,120 Speaker 1: way you didn't under that umbrella of God's love, which 582 00:28:48,120 --> 00:28:53,160 Speaker 1: I appreciate, and Ky parts like Jack, can we go 583 00:28:53,200 --> 00:28:57,160 Speaker 1: to someone else on this? I do think again part 584 00:28:57,160 --> 00:29:01,120 Speaker 1: of this emotionalism and the reaction and to Trump, who, 585 00:29:01,200 --> 00:29:04,720 Speaker 1: like Grant, it is a very unconventional candidate. I understand 586 00:29:04,760 --> 00:29:06,600 Speaker 1: that people are not used to all. We should be 587 00:29:06,640 --> 00:29:08,360 Speaker 1: used to it by now, but sure I understand that 588 00:29:08,360 --> 00:29:10,560 Speaker 1: they're evaluating him in a way that is different from 589 00:29:10,560 --> 00:29:14,800 Speaker 1: other candidates. That it can be jar but like when 590 00:29:14,880 --> 00:29:18,000 Speaker 1: you freak out to this degree as they have been 591 00:29:18,000 --> 00:29:22,959 Speaker 1: doing since twenty fifteen, people read, Okay, it's the end 592 00:29:23,000 --> 00:29:24,520 Speaker 1: of the world, and then it wasn't the end of 593 00:29:24,520 --> 00:29:26,760 Speaker 1: the world for forty years, and then they say he's 594 00:29:26,800 --> 00:29:28,240 Speaker 1: Hitler and he doesn't look like Hitler. 595 00:29:28,240 --> 00:29:30,040 Speaker 2: Because Hitler's just serving fries. 596 00:29:30,200 --> 00:29:34,719 Speaker 1: And I just think that it creates this gap between 597 00:29:34,760 --> 00:29:37,240 Speaker 1: what the leader telling people and what they experience in 598 00:29:37,280 --> 00:29:41,040 Speaker 1: their real lives, and they're not buying it. And Jonathan 599 00:29:41,080 --> 00:29:43,840 Speaker 1: Caepart is like a lead purveyor of the things that 600 00:29:43,880 --> 00:29:44,680 Speaker 1: sharing are not. 601 00:29:44,720 --> 00:29:50,800 Speaker 4: Buy Yeah, absolutely all of that is correct. I don't 602 00:29:50,840 --> 00:29:54,600 Speaker 4: think any lessons will be learned. I think we're hopefully 603 00:29:54,640 --> 00:29:57,479 Speaker 4: getting through to somebody with this, But I just I 604 00:29:57,480 --> 00:29:59,720 Speaker 4: see them doubling down on the crazy for the next 605 00:29:59,760 --> 00:30:01,960 Speaker 4: fe years and that's unfortunate. 606 00:30:02,480 --> 00:30:03,680 Speaker 2: I think it won't go well for them. 607 00:30:03,960 --> 00:30:08,560 Speaker 1: Although you know, as as noted, Trump will have to 608 00:30:08,640 --> 00:30:11,480 Speaker 1: do things that earn him cred with the people who 609 00:30:11,560 --> 00:30:14,600 Speaker 1: voted for Yeah, so that will be part of the 610 00:30:15,080 --> 00:30:18,120 Speaker 1: formula as well. Can we note one last thing before 611 00:30:18,160 --> 00:30:22,800 Speaker 1: we're done, a literal victory dance for Trump in the 612 00:30:22,920 --> 00:30:25,520 Speaker 1: NFL this weekend? Is then it fell spelling? 613 00:30:25,840 --> 00:30:28,840 Speaker 4: I thought after the Cowboys collapse, we're we're all done 614 00:30:28,880 --> 00:30:30,640 Speaker 4: here or you just checked out? 615 00:30:30,720 --> 00:30:32,520 Speaker 3: Yeah? I mean I is it still on TV? I 616 00:30:32,520 --> 00:30:33,240 Speaker 3: thought they don't. 617 00:30:33,040 --> 00:30:36,400 Speaker 1: As a lion span an uncharacteristic couple of decent seasons. 618 00:30:36,400 --> 00:30:39,240 Speaker 2: So no, So Nick Bosa, who is. 619 00:30:39,160 --> 00:30:41,680 Speaker 1: A who plays for the forty nine ers. 620 00:30:43,120 --> 00:30:44,800 Speaker 2: First this past week, he. 621 00:30:44,920 --> 00:30:49,480 Speaker 1: Was fine eleven thousand dollars for violating league policy against 622 00:30:49,480 --> 00:30:53,760 Speaker 1: displaying personal messages when he crashed an NBC postgame interview 623 00:30:54,080 --> 00:30:57,000 Speaker 1: wearing a Maga Okay, right, so that was hender. 624 00:30:57,040 --> 00:31:01,400 Speaker 11: They usually fine people for political messages, Mary Catherine, I 625 00:31:01,480 --> 00:31:03,680 Speaker 11: feel like there was a lot of political messaging for 626 00:31:03,720 --> 00:31:06,440 Speaker 11: a while there that no one was fined for, so 627 00:31:06,480 --> 00:31:10,920 Speaker 11: perhaps perhaps this was a new, newly implemented policy. 628 00:31:11,200 --> 00:31:12,920 Speaker 1: So he gets fined, he says it's worth it. 629 00:31:13,000 --> 00:31:14,080 Speaker 2: I don't care if they find me. 630 00:31:14,560 --> 00:31:18,480 Speaker 1: Uh. And then at this week's game, he scores a 631 00:31:18,560 --> 00:31:22,680 Speaker 1: touchdown and he joined by uh. 632 00:31:22,200 --> 00:31:23,520 Speaker 3: Several teammates of color. 633 00:31:23,640 --> 00:31:27,440 Speaker 1: I should note did be trump YMCA dance as his 634 00:31:27,880 --> 00:31:30,280 Speaker 1: celebration dance, and you know what, they can't find him 635 00:31:30,280 --> 00:31:35,840 Speaker 1: for that one's but I think that sort of encapsulates 636 00:31:36,360 --> 00:31:40,280 Speaker 1: again this phenomenon where he wears a Maga hat. He's 637 00:31:40,320 --> 00:31:46,800 Speaker 1: fined for his centrist to right leaning Maga views. The 638 00:31:46,960 --> 00:31:49,960 Speaker 1: rules feel like they're different for other people. And then 639 00:31:50,080 --> 00:31:52,560 Speaker 1: in the end a bunch of people join in in 640 00:31:52,600 --> 00:31:56,360 Speaker 1: this goofy dance because they don't find Trump to be 641 00:31:56,560 --> 00:31:59,960 Speaker 1: the threat that the people in charge have been telling them. 642 00:32:00,120 --> 00:32:02,840 Speaker 4: He is, yeah, Righty Trump should have just ran on 643 00:32:03,000 --> 00:32:04,120 Speaker 4: He's not actually Hitler. 644 00:32:04,680 --> 00:32:06,480 Speaker 1: Was that the that was sort of the campaign, that 645 00:32:06,680 --> 00:32:09,680 Speaker 1: was right, he did really run on that. Trump of 646 00:32:09,720 --> 00:32:12,320 Speaker 1: course put on truth social in all caps. Nick Bosa 647 00:32:12,560 --> 00:32:13,440 Speaker 1: is a great player. 648 00:32:16,760 --> 00:32:17,880 Speaker 3: Amazing that. 649 00:32:18,480 --> 00:32:19,840 Speaker 2: That's where were end for today. 650 00:32:20,240 --> 00:32:22,080 Speaker 3: I love it well. 651 00:32:22,560 --> 00:32:26,400 Speaker 4: Thanks for joining us on normally Normally airs Tuesdays and Thursdays, 652 00:32:26,560 --> 00:32:29,800 Speaker 4: and you can subscribe anywhere you get your podcasts. Get 653 00:32:29,800 --> 00:32:33,200 Speaker 4: in touch with us at normallythepod at gmail dot com. 654 00:32:33,240 --> 00:32:36,480 Speaker 4: Thanks for listening and when things get weird, act normally