1 00:00:03,320 --> 00:00:06,000 Speaker 1: Eighty guys, we are back on normally the show with 2 00:00:06,240 --> 00:00:08,800 Speaker 1: normal ish takes for when the news gets weird. I 3 00:00:08,840 --> 00:00:10,080 Speaker 1: am Mary Catherine Ham. 4 00:00:10,240 --> 00:00:13,800 Speaker 2: And I'm Carol Markowitz. I'm Mary Catherine. How is your Thanksgiving? 5 00:00:14,360 --> 00:00:17,239 Speaker 1: You know it was good? Hectic. I went down to 6 00:00:17,280 --> 00:00:20,919 Speaker 1: the University of Georgia for an eight overtime win over 7 00:00:21,079 --> 00:00:25,040 Speaker 1: Isacillow Decads. Yeah, I was there from well, we tailgated 8 00:00:25,120 --> 00:00:29,000 Speaker 1: starting at three and then stayed at the game till 9 00:00:29,120 --> 00:00:32,959 Speaker 1: midnight plus so, and then I did not party downtown 10 00:00:33,000 --> 00:00:34,400 Speaker 1: because I don't do that anymore. 11 00:00:34,479 --> 00:00:37,560 Speaker 2: Well, that's a mistake, clearly. At least you got the win, right, 12 00:00:37,800 --> 00:00:39,200 Speaker 2: The W's all that matters. 13 00:00:39,240 --> 00:00:41,680 Speaker 1: I have a habit of going to fairly legendary games 14 00:00:41,720 --> 00:00:43,519 Speaker 1: by accident. I didn't think that was going to be 15 00:00:43,520 --> 00:00:45,879 Speaker 1: a legendary game, but here we are. So I made 16 00:00:45,920 --> 00:00:48,240 Speaker 1: it back and now we're in the in our house. 17 00:00:48,280 --> 00:00:53,199 Speaker 1: We're in the like Christmas March because one once December 18 00:00:53,240 --> 00:00:56,280 Speaker 1: first hits. Man, we are fully booked. 19 00:00:56,600 --> 00:00:59,840 Speaker 2: I love it. Yeah. Is your tree up it? Or 20 00:00:59,920 --> 00:01:00,200 Speaker 2: is long? 21 00:01:00,320 --> 00:01:02,720 Speaker 1: Is not up? We are working on that for hopefully 22 00:01:02,760 --> 00:01:04,360 Speaker 1: by Wednesday we'll have that done. 23 00:01:04,480 --> 00:01:05,680 Speaker 2: All right, send pictures. 24 00:01:06,000 --> 00:01:07,080 Speaker 1: I will I will. 25 00:01:07,480 --> 00:01:10,440 Speaker 2: So we come back from the weekend to the news 26 00:01:10,600 --> 00:01:14,440 Speaker 2: that Joe Biden, in a surprise to absolutely no one, 27 00:01:14,920 --> 00:01:19,200 Speaker 2: pardoned his son Hunter And he didn't just pardon him 28 00:01:19,400 --> 00:01:22,600 Speaker 2: of the things that Hunter has been accused of. He 29 00:01:22,640 --> 00:01:26,840 Speaker 2: has pardoned him a blanket parden for eleven years for 30 00:01:27,040 --> 00:01:31,559 Speaker 2: crimes we may not even know about yet. Yeah. Yeah, 31 00:01:31,560 --> 00:01:33,920 Speaker 2: so again, that wasn't a surprise to most people, but 32 00:01:34,000 --> 00:01:37,440 Speaker 2: some people were shocked. And were you surprised? 33 00:01:37,600 --> 00:01:41,240 Speaker 1: I was, I guess, yeah, I was not surprised. I 34 00:01:41,280 --> 00:01:44,000 Speaker 1: think again. I think I've said this before, but self 35 00:01:44,000 --> 00:01:46,959 Speaker 1: regard is very blinding. And so if you believe that 36 00:01:47,040 --> 00:01:51,960 Speaker 1: your side is without issues, and you believe and you've 37 00:01:51,960 --> 00:01:55,080 Speaker 1: talked yourself into the idea that Joe Biden is the 38 00:01:55,200 --> 00:01:59,640 Speaker 1: avatar of honesty and politics, I suppose you could talk 39 00:01:59,680 --> 00:02:01,800 Speaker 1: yourself into the idea. He wasn't going to do this, 40 00:02:02,000 --> 00:02:04,320 Speaker 1: but I just didn't see how that was going to happen. 41 00:02:04,360 --> 00:02:07,120 Speaker 1: He was at least going to commute the sentence that 42 00:02:07,800 --> 00:02:11,680 Speaker 1: Hunter Biden got for his crimes, of which he was 43 00:02:11,720 --> 00:02:13,960 Speaker 1: convicted by a jury, right, and by the way, they 44 00:02:13,960 --> 00:02:16,959 Speaker 1: weren't made up statutes sort of. Frankenstein in the felonies 45 00:02:17,040 --> 00:02:21,320 Speaker 1: like Donald Trump's were they were not traditional ones. It 46 00:02:21,440 --> 00:02:23,960 Speaker 1: was like, because it turns out, Carol, I don't know 47 00:02:24,040 --> 00:02:26,440 Speaker 1: if you know, but if you put like hookers in 48 00:02:26,520 --> 00:02:31,000 Speaker 1: blow on your deductions for your taxes, like I doesn't 49 00:02:31,120 --> 00:02:33,400 Speaker 1: like that. They don't like that, they don't like that. 50 00:02:34,280 --> 00:02:37,040 Speaker 2: I think of you as so like not cursing and 51 00:02:37,320 --> 00:02:38,160 Speaker 2: hookers and blow. 52 00:02:38,840 --> 00:02:41,000 Speaker 1: Sorry I went there in the beginning of the podcast. 53 00:02:41,000 --> 00:02:41,600 Speaker 2: I like it. 54 00:02:41,720 --> 00:02:45,360 Speaker 1: You sort of have to to talk about Hunter Biden, right, Like, 55 00:02:45,400 --> 00:02:47,320 Speaker 1: I can't do this thing where I'm just going to 56 00:02:47,400 --> 00:02:50,520 Speaker 1: pretend that he's something he's not because that's what the 57 00:02:50,600 --> 00:02:52,920 Speaker 1: Left asks of me, and I'm not going to pretend 58 00:02:52,919 --> 00:02:55,320 Speaker 1: that I can't see exactly what was going on with 59 00:02:55,400 --> 00:02:59,320 Speaker 1: Hunter and Joe meddling influence throughout this entire thing, which 60 00:02:59,320 --> 00:03:03,680 Speaker 1: by the way, doesn't feel like vindication. This date of 61 00:03:03,680 --> 00:03:08,800 Speaker 1: twenty fourteen is so interestingly exactly the time that he 62 00:03:09,000 --> 00:03:14,160 Speaker 1: joined Barisma, the Ukrainian energy company, obviously as a renowned 63 00:03:14,800 --> 00:03:19,120 Speaker 1: Ukrainian energy expert, Hunter Biden, where he got paid ludicrous 64 00:03:19,120 --> 00:03:21,480 Speaker 1: amounts of money, and we were all saying or yeah, 65 00:03:21,760 --> 00:03:23,880 Speaker 1: they were all saying, like it feels like there's something 66 00:03:23,880 --> 00:03:25,920 Speaker 1: weird going on here, and now I think we have 67 00:03:25,960 --> 00:03:27,680 Speaker 1: our answer that there's definitely something weird. 68 00:03:27,919 --> 00:03:28,359 Speaker 2: That's it. 69 00:03:28,720 --> 00:03:28,920 Speaker 3: You know. 70 00:03:29,040 --> 00:03:32,000 Speaker 2: The thing is also all these people who defended him 71 00:03:32,040 --> 00:03:36,080 Speaker 2: and said he would never pardon his son ever. That's 72 00:03:36,120 --> 00:03:38,840 Speaker 2: that's what makes our sides so special and unique and different. 73 00:03:39,000 --> 00:03:43,240 Speaker 2: It's like, just don't love politicians this much. It's not normal. 74 00:03:43,360 --> 00:03:46,640 Speaker 2: It's not normal to love politicians. I again, have lots 75 00:03:46,680 --> 00:03:50,280 Speaker 2: of politicians that I, you know, respect or admire or whatever, 76 00:03:50,760 --> 00:03:53,000 Speaker 2: but I know they're going to do things to annoy 77 00:03:53,080 --> 00:03:56,560 Speaker 2: me and piss me off and upset me and disappoint me. 78 00:03:56,720 --> 00:03:58,760 Speaker 2: I mean, I'll just say I was a big Sarah 79 00:03:58,760 --> 00:04:03,400 Speaker 2: Palin fan. So yeah, I've been on this wild ride. 80 00:04:03,760 --> 00:04:08,600 Speaker 1: Yes, I understand now. I think that the entire thing 81 00:04:08,880 --> 00:04:11,560 Speaker 1: is just I occasionally say that I think we're in 82 00:04:11,600 --> 00:04:14,640 Speaker 1: an abusive relationship, like an emotionally abusive relationship with the 83 00:04:14,640 --> 00:04:17,839 Speaker 1: press and Democrats. And this is yet another example where 84 00:04:18,360 --> 00:04:22,560 Speaker 1: the gaslighting is so intense from this guy who's like, 85 00:04:23,440 --> 00:04:27,600 Speaker 1: you know what, the justice system was used improperly against 86 00:04:27,760 --> 00:04:30,679 Speaker 1: my son. So I have to first of all, who's 87 00:04:30,839 --> 00:04:33,760 Speaker 1: justice system is it? You're the deal, Yeah, this is 88 00:04:33,800 --> 00:04:37,840 Speaker 1: your DOJ right, and then to the extent that it 89 00:04:37,920 --> 00:04:42,000 Speaker 1: was used improperly on Hunter Biden. It was to excuse 90 00:04:42,080 --> 00:04:44,599 Speaker 1: his crimes, it was to help him get out of them, 91 00:04:44,680 --> 00:04:48,520 Speaker 1: to pass the statute of limitations, to shut up people 92 00:04:48,600 --> 00:04:51,680 Speaker 1: who brought forth information about his crimes. And in the 93 00:04:51,800 --> 00:04:57,120 Speaker 1: end they got caught in court, the government Joe Biden's 94 00:04:57,160 --> 00:05:00,600 Speaker 1: DOJ doing a way too generous plea deal that a 95 00:05:00,720 --> 00:05:04,360 Speaker 1: judge was like, wait, run that by me again, right, 96 00:05:04,960 --> 00:05:07,720 Speaker 1: And they couldn't get away with it because of this 97 00:05:07,839 --> 00:05:11,719 Speaker 1: judge who flagged it because they tried to hand Hunter 98 00:05:11,800 --> 00:05:14,400 Speaker 1: Biden the thing that Joe Biden's been handing him his 99 00:05:14,400 --> 00:05:15,920 Speaker 1: whole life, which is a take it out of jail 100 00:05:15,960 --> 00:05:16,800 Speaker 1: free right. 101 00:05:16,960 --> 00:05:20,680 Speaker 2: So that's actually it's funny. I tweeted today about how 102 00:05:20,960 --> 00:05:24,520 Speaker 2: this kind of behavior has obviously been nothing but terrible 103 00:05:24,640 --> 00:05:27,400 Speaker 2: for Hunter Biden, and then I saw that you tweeted 104 00:05:27,440 --> 00:05:30,120 Speaker 2: something very similar to last night. I'm glad our parenting 105 00:05:30,200 --> 00:05:34,960 Speaker 2: style of lines. You can't give kids passes their whole 106 00:05:35,120 --> 00:05:38,800 Speaker 2: entire lives and then expect them to turn out Okay, 107 00:05:38,839 --> 00:05:41,440 Speaker 2: that's just not how it goes. So I think this 108 00:05:41,520 --> 00:05:44,680 Speaker 2: is the latest in the pardoning that he's gotten. This 109 00:05:44,720 --> 00:05:46,760 Speaker 2: one's a little more official than the ones he's gotten 110 00:05:46,839 --> 00:05:49,599 Speaker 2: his whole entire life from his parents. But it's just 111 00:05:49,640 --> 00:05:52,400 Speaker 2: a bad way to raise your kids, and you're going 112 00:05:52,440 --> 00:05:53,159 Speaker 2: to get a bad out. 113 00:05:53,760 --> 00:05:56,240 Speaker 1: Yeah. I'm a little uncomfortable with this line that this 114 00:05:56,440 --> 00:05:58,840 Speaker 1: is like the love of a father. No more than 115 00:05:58,839 --> 00:06:01,000 Speaker 1: a little uncomfortable with this is the love of a father, 116 00:06:01,080 --> 00:06:04,120 Speaker 1: and this is what good parents do. There's plenty to 117 00:06:04,120 --> 00:06:07,240 Speaker 1: be said for Grace. I know the prodigal Sons her story. 118 00:06:08,080 --> 00:06:11,800 Speaker 1: But as you say, Carol, the reason he's here is 119 00:06:11,839 --> 00:06:14,600 Speaker 1: because his father has bailed him out of every bad 120 00:06:14,640 --> 00:06:19,120 Speaker 1: decision at every turn his entire life, which created a 121 00:06:19,160 --> 00:06:23,760 Speaker 1: person who needed a presidential pardon. And I reject that 122 00:06:23,760 --> 00:06:27,680 Speaker 1: that is love that is helpful to your children. Yep, 123 00:06:28,040 --> 00:06:30,080 Speaker 1: it's just not, you know. 124 00:06:30,320 --> 00:06:33,480 Speaker 2: Side note to this. Over the weekend story broke that 125 00:06:33,560 --> 00:06:37,120 Speaker 2: Pete Hecss's mom send him emails while he was going 126 00:06:37,160 --> 00:06:40,920 Speaker 2: through a divorce, really criticizing his treatment of women, and 127 00:06:41,000 --> 00:06:43,640 Speaker 2: people are like, well, this is disqualifying. The mom has 128 00:06:43,680 --> 00:06:46,440 Speaker 2: said that, you know, she basically takes it back and 129 00:06:46,480 --> 00:06:48,280 Speaker 2: they have a good relationship now and all of that. 130 00:06:48,520 --> 00:06:51,960 Speaker 2: But that's actually good parenting to me, that is good parenting, 131 00:06:52,080 --> 00:06:56,720 Speaker 2: saying you are being a little dirt bag and stop that. 132 00:06:56,920 --> 00:06:59,120 Speaker 2: I think that nothing wrong with that. 133 00:06:59,360 --> 00:07:04,159 Speaker 1: Not inviting to the state dinner, like that's Hunter's right path, 134 00:07:04,240 --> 00:07:07,159 Speaker 1: right is like, Oh, you did another insanely bad thing, 135 00:07:07,320 --> 00:07:09,479 Speaker 1: probably criminal, Why don't you come on down to the 136 00:07:09,480 --> 00:07:13,200 Speaker 1: state dinner and show off that you're still close with everybody. 137 00:07:13,360 --> 00:07:18,600 Speaker 1: I do think this business relationship between the two of 138 00:07:18,640 --> 00:07:22,520 Speaker 1: them and the influence pedaling has been almost thrown in 139 00:07:22,560 --> 00:07:26,840 Speaker 1: our faces during these four years. And I should note 140 00:07:26,840 --> 00:07:31,840 Speaker 1: also that this administration started with the widespread censorship and 141 00:07:31,960 --> 00:07:38,080 Speaker 1: disinformation campaign about Hunter Biden's laptop, which dealt with all 142 00:07:38,120 --> 00:07:41,120 Speaker 1: of these issues and had evidence for all of the 143 00:07:41,160 --> 00:07:44,520 Speaker 1: crimes that he's now pardoned of, and then we're bookending 144 00:07:44,560 --> 00:07:49,560 Speaker 1: it with this pardon for eleven years of whatever crimes 145 00:07:50,120 --> 00:07:54,720 Speaker 1: could have happened. Yeah, it's dirty, man, It's obviously dirty 146 00:07:54,720 --> 00:07:56,160 Speaker 1: on its face. It is. 147 00:07:56,200 --> 00:07:59,600 Speaker 2: And there's definitely still people who want to defend him 148 00:07:59,640 --> 00:08:02,640 Speaker 2: because he's not Trump. And Nate Silver is getting a 149 00:08:02,680 --> 00:08:05,760 Speaker 2: lot of hate from other people on the left because 150 00:08:05,760 --> 00:08:07,880 Speaker 2: he's saying, no, this is not acceptable, and this is 151 00:08:07,920 --> 00:08:11,920 Speaker 2: not appropriate, and this just shouldn't be done, and all 152 00:08:11,960 --> 00:08:14,240 Speaker 2: these people are like, oh, Nate Silver sucks now and 153 00:08:14,280 --> 00:08:17,960 Speaker 2: he's just the worst. Andy Kazinski also is getting a 154 00:08:17,960 --> 00:08:20,840 Speaker 2: lot of really vile hate because you're saying this is 155 00:08:20,880 --> 00:08:24,080 Speaker 2: not acceptable and no, you know, I'm glad that they're 156 00:08:24,200 --> 00:08:27,760 Speaker 2: speaking up and saying that their side has done something wrong, 157 00:08:27,880 --> 00:08:33,120 Speaker 2: but the avalanche of comments that they're getting saying like 158 00:08:33,200 --> 00:08:36,240 Speaker 2: you should just defend Joe Biden is not that comforting 159 00:08:36,280 --> 00:08:36,480 Speaker 2: to me. 160 00:08:36,720 --> 00:08:40,280 Speaker 1: Also, look what Joe Biden did to your party his 161 00:08:40,480 --> 00:08:44,480 Speaker 1: insistence on staying in the race. Yeah, partly because he 162 00:08:44,600 --> 00:08:47,240 Speaker 1: probably sensed that he needed to pardon his son and 163 00:08:47,320 --> 00:08:50,720 Speaker 1: maybe himself at some point and maybe his brother who else? Right, 164 00:08:50,800 --> 00:08:55,160 Speaker 1: who else is coming? That destroyed their chances to win 165 00:08:55,640 --> 00:09:01,080 Speaker 1: this presidential election over Donald Trump. I'm so mad about that. 166 00:09:01,280 --> 00:09:04,280 Speaker 1: I think so Dave Portnoy, who of Barstool Sports, who 167 00:09:04,679 --> 00:09:09,120 Speaker 1: endorsed Donald Trump and isn't often super political, but he 168 00:09:09,160 --> 00:09:11,679 Speaker 1: will jump in on things that annoy him and famously 169 00:09:11,920 --> 00:09:14,920 Speaker 1: just destroyed a Washington Post reporter who tried to destroy 170 00:09:15,000 --> 00:09:17,240 Speaker 1: his pizza fest up in New York. He had a 171 00:09:17,280 --> 00:09:21,560 Speaker 1: clip that I think speaks to what's annoying people like 172 00:09:22,120 --> 00:09:25,960 Speaker 1: Nate and Andy and people like us. Here's a little 173 00:09:25,960 --> 00:09:27,000 Speaker 1: bit of him talking about it. 174 00:09:28,800 --> 00:09:31,240 Speaker 4: Okay, I thought I was done with political rants, but 175 00:09:31,280 --> 00:09:32,400 Speaker 4: I guess I got one more. 176 00:09:32,480 --> 00:09:35,160 Speaker 3: This Hunter Biden thing. It's in the news. Everyone's talking 177 00:09:35,160 --> 00:09:39,199 Speaker 3: about it. Joe Biden after and the Democrats after. 178 00:09:39,600 --> 00:09:43,559 Speaker 4: Probably saying no less than nine million, four hundred and 179 00:09:43,640 --> 00:09:48,240 Speaker 4: eighty two times unequivocally that Joe Biden would not pardon 180 00:09:48,720 --> 00:09:51,080 Speaker 4: Hunter Biden if Trump was elected. 181 00:09:50,840 --> 00:09:54,199 Speaker 3: But the president would not pardon nor commute sensor his 182 00:09:54,360 --> 00:09:56,680 Speaker 3: son Hunter if to make sure that that is not 183 00:09:56,760 --> 00:09:57,520 Speaker 3: the way to Shangefield. 184 00:09:57,559 --> 00:10:00,280 Speaker 1: The next six months the President's stage were not still 185 00:10:00,679 --> 00:10:02,679 Speaker 1: an now it's still an al always. Do you know 186 00:10:03,040 --> 00:10:05,320 Speaker 1: it's still a no. It will be a no. It 187 00:10:05,360 --> 00:10:07,680 Speaker 1: is a no. And I don't have anything else to add. 188 00:10:07,800 --> 00:10:09,400 Speaker 1: People he pardoned his son, No. 189 00:10:09,960 --> 00:10:12,760 Speaker 3: He'd have to go through the jury system. Nobody's loved 190 00:10:12,760 --> 00:10:15,040 Speaker 3: the law. Blah blah blah. What's he doing? Of course 191 00:10:15,040 --> 00:10:17,680 Speaker 3: he pardons them. Of course he does know that. It's 192 00:10:17,679 --> 00:10:20,199 Speaker 3: like for eleven years, so anything he could possibly done 193 00:10:20,240 --> 00:10:24,120 Speaker 3: in the history of time he has pardoned. For now. 194 00:10:24,400 --> 00:10:27,080 Speaker 3: I'll start by saying, if if I could do that 195 00:10:27,120 --> 00:10:29,640 Speaker 3: for a loved one, a family member. I would probably 196 00:10:29,679 --> 00:10:31,120 Speaker 3: do the same thing. I won't lie about it and 197 00:10:31,200 --> 00:10:33,000 Speaker 3: be like, yeah, I'm gonna protect my own no shit. 198 00:10:33,160 --> 00:10:36,000 Speaker 4: If Trump gets elected and they're gonna make Hunter Biden 199 00:10:36,080 --> 00:10:38,520 Speaker 4: go to court and investigate them all this, yeah I'm 200 00:10:38,520 --> 00:10:39,360 Speaker 4: gonna protect him. 201 00:10:40,320 --> 00:10:43,520 Speaker 3: But the Democrats Biden, they didn't do that. They're like, no, 202 00:10:43,720 --> 00:10:45,320 Speaker 3: what are we crazy? Now? 203 00:10:45,840 --> 00:10:48,400 Speaker 5: This is the point of this rant, and I've been 204 00:10:48,440 --> 00:10:50,600 Speaker 5: saying it over and over and over, and why the 205 00:10:50,679 --> 00:10:54,160 Speaker 5: Democrats got slaughtered in the election because they think they're 206 00:10:54,200 --> 00:10:56,559 Speaker 5: morally superior to everybody else. 207 00:10:57,640 --> 00:11:00,440 Speaker 2: That's it, That's really it. I think that people have 208 00:11:00,480 --> 00:11:02,720 Speaker 2: had enough, and a lot of the wokeness and the 209 00:11:02,760 --> 00:11:05,960 Speaker 2: cancel stuff really ties into that because they think we 210 00:11:06,040 --> 00:11:09,000 Speaker 2: are better. We will enforce your behavior, we will enforce 211 00:11:09,040 --> 00:11:12,000 Speaker 2: your speech and say that you're just not as good 212 00:11:12,000 --> 00:11:13,720 Speaker 2: as us, and so we have to tell you what 213 00:11:13,840 --> 00:11:15,640 Speaker 2: to do. So people have had it. 214 00:11:16,080 --> 00:11:21,560 Speaker 1: Donald Trump's bad behavior comes without the lecture, and people 215 00:11:21,880 --> 00:11:25,560 Speaker 1: that they like that better, Like they don't like being 216 00:11:25,640 --> 00:11:30,640 Speaker 1: lectured by people who are transparently dishonest jerks, Yeah, who 217 00:11:30,640 --> 00:11:34,560 Speaker 1: are violating every rule that they say that they're better 218 00:11:34,600 --> 00:11:37,520 Speaker 1: at observing and one of my favorite responses is this 219 00:11:37,640 --> 00:11:40,480 Speaker 1: idea that like, and it's animated the entire Trump era. 220 00:11:41,240 --> 00:11:43,880 Speaker 1: If you're a righteous Democrat or a Republican who's turned 221 00:11:43,880 --> 00:11:47,000 Speaker 1: into a Democrat because of Trump, your job is to 222 00:11:47,120 --> 00:11:51,480 Speaker 1: imagine the worst that Trump can do. And honestly, sometimes 223 00:11:51,520 --> 00:11:55,400 Speaker 1: he gives them rhetorical evidence for this and then use 224 00:11:55,440 --> 00:11:58,720 Speaker 1: it to justify doing a much worse version of the 225 00:11:58,760 --> 00:12:01,120 Speaker 1: thing Donald Trump is that he will do or that 226 00:12:01,280 --> 00:12:06,559 Speaker 1: you think he might. This is bad behavior and I'm 227 00:12:06,600 --> 00:12:08,520 Speaker 1: really sick of hearing about it from them. 228 00:12:08,960 --> 00:12:13,360 Speaker 2: That's really it. They just you know, yeah, pretend that 229 00:12:13,400 --> 00:12:15,360 Speaker 2: he's going to do something, then they do worst that 230 00:12:15,559 --> 00:12:16,120 Speaker 2: you nailed it. 231 00:12:16,800 --> 00:12:18,760 Speaker 1: Yeah, that's I mean, that's what Russiagate was, Like, I 232 00:12:18,760 --> 00:12:23,520 Speaker 1: can imagine that Trump would do this dastardly thing. Now, 233 00:12:23,600 --> 00:12:28,080 Speaker 1: let's create a situation where we bake a bunch of evidence. Meanwhile, 234 00:12:28,120 --> 00:12:32,800 Speaker 1: the hunter Biden's laptop is over here being very real. Yeah, well, 235 00:12:32,840 --> 00:12:36,680 Speaker 1: while are we told its misinformation? The whole thing is dirty. 236 00:12:37,280 --> 00:12:39,199 Speaker 2: Yeah, it's going to be four years of this kind 237 00:12:39,240 --> 00:12:43,200 Speaker 2: of thing though. They're not going to stop, I don't think. Yeah, 238 00:12:43,280 --> 00:12:46,120 Speaker 2: we will see, we'll see how it goes. But I 239 00:12:46,160 --> 00:12:48,280 Speaker 2: don't think any lessons have been learned. We've talked about 240 00:12:48,480 --> 00:12:50,320 Speaker 2: that on here before. I don't see a lot of 241 00:12:50,440 --> 00:12:53,560 Speaker 2: change or introspection. Like I said, a lot of comments 242 00:12:53,679 --> 00:12:56,520 Speaker 2: are saying, why aren't we defending Joe Biden from this? 243 00:12:57,520 --> 00:13:01,000 Speaker 1: So, you know, looking forward to four years of this, 244 00:13:01,480 --> 00:13:04,040 Speaker 1: I know, I shudder to think what they're cooking up. 245 00:13:04,120 --> 00:13:06,559 Speaker 1: As they did Russia Gate, I think people are a 246 00:13:06,600 --> 00:13:09,120 Speaker 1: lot more wary of it. I think, yeah, we've reached 247 00:13:09,160 --> 00:13:13,800 Speaker 1: the limits of them just being like ew, that's bad. Right, 248 00:13:14,360 --> 00:13:16,560 Speaker 1: people react to it, and I don't think that's gonna 249 00:13:16,600 --> 00:13:19,560 Speaker 1: work anymore, like, oh, that's traitorous. Okay, we're gonna we're 250 00:13:19,559 --> 00:13:21,720 Speaker 1: gonna take a minute to figure out what's actually going 251 00:13:21,760 --> 00:13:22,160 Speaker 1: on here. 252 00:13:22,760 --> 00:13:24,680 Speaker 2: I hope you might not be a Russian spy. 253 00:13:24,880 --> 00:13:27,040 Speaker 1: Yes, my gosh, the number of times I said that 254 00:13:27,080 --> 00:13:28,760 Speaker 1: on CNN and was looked at like I had a 255 00:13:28,800 --> 00:13:31,760 Speaker 1: third eyeball. It's like, I don't think you guys are 256 00:13:31,760 --> 00:13:34,280 Speaker 1: onto a thing here. I don't think this is real. 257 00:13:34,720 --> 00:13:40,720 Speaker 2: We'll be right back on normally, all right. 258 00:13:41,120 --> 00:13:43,719 Speaker 1: Speaking of trust and government, Donald Trump has made some 259 00:13:43,760 --> 00:13:49,520 Speaker 1: more appointments, one of which is quite splashy. Cash Pattel 260 00:13:50,559 --> 00:13:53,440 Speaker 1: to the head of the FBI. Now, this would have 261 00:13:53,480 --> 00:13:58,280 Speaker 1: been the only story this week, Carol, had Joe Biden 262 00:13:58,400 --> 00:14:02,720 Speaker 1: not pardoned this son Hunter Biden. And I bet that 263 00:14:02,760 --> 00:14:07,359 Speaker 1: the people who are lamenting, who are sort of begrudgingly 264 00:14:07,400 --> 00:14:11,800 Speaker 1: lamenting Joe Biden doing that, are annoyed that they can't 265 00:14:11,840 --> 00:14:15,319 Speaker 1: just lambast Cash Btel all day, because now Joe Biden 266 00:14:15,360 --> 00:14:20,200 Speaker 1: has given Cash Btel and Donald Trump the very reason 267 00:14:20,280 --> 00:14:24,760 Speaker 1: to say, yeah, we need a skull crusher at the FBI, 268 00:14:24,840 --> 00:14:26,120 Speaker 1: and this is why he's going there. 269 00:14:27,200 --> 00:14:30,520 Speaker 2: Yeah, you know, I have to say that I've been 270 00:14:30,520 --> 00:14:32,240 Speaker 2: reading up on Cash Hotel. I did not know a 271 00:14:32,280 --> 00:14:34,320 Speaker 2: lot about him, but a lot of people in my 272 00:14:34,360 --> 00:14:37,320 Speaker 2: life who I wouldn't imagine would be thrilled about this 273 00:14:37,440 --> 00:14:40,200 Speaker 2: appointment are very happy about it. Kind of who I 274 00:14:40,240 --> 00:14:44,200 Speaker 2: consider not moderates, but maybe just like very calm, sane 275 00:14:44,320 --> 00:14:49,080 Speaker 2: conservatives are saying, this is someone who is very smart 276 00:14:49,120 --> 00:14:51,760 Speaker 2: and can do a really good job at shaking up 277 00:14:51,800 --> 00:14:55,960 Speaker 2: an organization that needs it. So, Yeah, I think that 278 00:14:56,400 --> 00:14:59,560 Speaker 2: it's interesting that they stepped all over the Cash Totel story. 279 00:15:00,040 --> 00:15:03,240 Speaker 2: It's also interesting this constantly this feeling of like how 280 00:15:03,280 --> 00:15:07,000 Speaker 2: many of these appointments. Are the Democrats going to be 281 00:15:07,040 --> 00:15:10,320 Speaker 2: able to persuade Republican senators to vote down? And I 282 00:15:10,320 --> 00:15:12,040 Speaker 2: don't know. I don't know how many that's going to be. 283 00:15:12,520 --> 00:15:15,119 Speaker 2: I know that not all the appointments need Senate confirmation, 284 00:15:15,280 --> 00:15:18,360 Speaker 2: but the ones that do, it's interesting because they can't 285 00:15:18,400 --> 00:15:21,120 Speaker 2: both them all down, right, that's probably not going to happen. 286 00:15:21,240 --> 00:15:25,120 Speaker 1: So I mean, yeah, I'm open minded. I think the 287 00:15:25,160 --> 00:15:30,440 Speaker 1: FBI quite obviously has some very big issues with politicization. 288 00:15:30,600 --> 00:15:32,960 Speaker 1: We've seen it over and over again, and no matter 289 00:15:33,000 --> 00:15:36,840 Speaker 1: how much Biden gaslights me, I understand what's happening over there, 290 00:15:36,920 --> 00:15:40,760 Speaker 1: and I do think it needs reform. And so I 291 00:15:40,800 --> 00:15:42,560 Speaker 1: want to hear from him, and I want him to 292 00:15:42,560 --> 00:15:44,360 Speaker 1: be asked tough questions and all the things that you 293 00:15:44,400 --> 00:15:47,600 Speaker 1: do during confirmation. But I think again, we've reached the 294 00:15:47,640 --> 00:15:50,960 Speaker 1: limit of just the Washington establishment being. 295 00:15:50,800 --> 00:15:52,920 Speaker 2: Like this person's a clown, We are dying. 296 00:15:53,120 --> 00:15:56,400 Speaker 1: They don't know. We're not doing that anymore. And cash 297 00:15:56,440 --> 00:15:59,360 Speaker 1: Hotel can be there to answer questions, he can be vetted. Sure, 298 00:15:59,440 --> 00:16:01,480 Speaker 1: one thing I do if you think is interesting about this, 299 00:16:01,640 --> 00:16:03,200 Speaker 1: He's like, I don't know if you saw the mini 300 00:16:03,680 --> 00:16:06,600 Speaker 1: mini dust up about the Donald Trump admit or transition 301 00:16:06,760 --> 00:16:11,000 Speaker 1: might not let the FBI vet its candidates, and I 302 00:16:11,160 --> 00:16:13,320 Speaker 1: maybe we talked about this. You can vet them other ways. 303 00:16:13,360 --> 00:16:15,800 Speaker 1: Other people can vet them, private entities can invent them. 304 00:16:16,880 --> 00:16:21,880 Speaker 1: Why would the Trump administration or incoming Trump administration trust 305 00:16:21,880 --> 00:16:26,080 Speaker 1: the FBI to do this. I literally spied on them 306 00:16:26,160 --> 00:16:31,600 Speaker 1: last time. Yeah, under false pretenses. So yeah, the inserns 307 00:16:31,640 --> 00:16:36,080 Speaker 1: are warranted, yes, But Patel was He was a public defender. 308 00:16:36,120 --> 00:16:38,120 Speaker 1: At one point. He was the chief of staff of 309 00:16:38,160 --> 00:16:40,560 Speaker 1: the U S Secretary of Defense during the first Trump presidency. 310 00:16:40,600 --> 00:16:43,600 Speaker 1: He served in the National Security Council and a senior 311 00:16:43,640 --> 00:16:47,440 Speaker 1: advisor to the acting Director of National Intelligence. So he's got, 312 00:16:47,880 --> 00:16:50,320 Speaker 1: you know, some things there. He has not been an 313 00:16:50,560 --> 00:16:55,160 Speaker 1: FBI agent, which is traditionally the path. But again, I 314 00:16:55,160 --> 00:16:58,040 Speaker 1: don't think people are looking for traditional paths right from 315 00:16:58,080 --> 00:16:58,760 Speaker 1: Donald Trump. 316 00:16:58,960 --> 00:17:01,320 Speaker 2: Yep, they're done with that. They're done with like this 317 00:17:01,360 --> 00:17:03,320 Speaker 2: is the guy who's next in line, so he has 318 00:17:03,400 --> 00:17:06,679 Speaker 2: to take this role. I think that they've seen some 319 00:17:06,720 --> 00:17:10,840 Speaker 2: really bad things from those bureaucrats, so everybody expects to 320 00:17:10,840 --> 00:17:13,040 Speaker 2: take the position in the last four years, and I 321 00:17:13,400 --> 00:17:15,479 Speaker 2: don't know, I think they elected Donald Trump to not 322 00:17:15,520 --> 00:17:18,840 Speaker 2: be that guy, and he's very much not being that guy. 323 00:17:19,480 --> 00:17:21,280 Speaker 1: And they're also going to have a little tizzy. So 324 00:17:21,320 --> 00:17:24,280 Speaker 1: it just should preview it over the idea that Chris Ray, 325 00:17:24,359 --> 00:17:27,919 Speaker 1: who is the current FBI director, he either has to 326 00:17:28,280 --> 00:17:29,760 Speaker 1: resign or be fired. 327 00:17:29,880 --> 00:17:30,840 Speaker 2: He's going to be hired. 328 00:17:30,920 --> 00:17:33,840 Speaker 1: I think it's and like Trump might end up having 329 00:17:33,880 --> 00:17:36,720 Speaker 1: to fire him. And I just want to assure everyone that, yes, 330 00:17:36,760 --> 00:17:39,560 Speaker 1: the FBI director has a ten year term. It was 331 00:17:39,600 --> 00:17:43,320 Speaker 1: put in in order to prevent the hooverism of the FBI, 332 00:17:43,400 --> 00:17:45,240 Speaker 1: so that someone serves for a long time. It's supposed 333 00:17:45,240 --> 00:17:48,720 Speaker 1: to it's supposed to detach you from politicization. Yet I 334 00:17:48,800 --> 00:17:51,000 Speaker 1: think we see that that maybe didn't work out great. 335 00:17:52,280 --> 00:17:55,040 Speaker 1: And the president has a right to appoint people. That's 336 00:17:55,359 --> 00:17:57,880 Speaker 1: what happens when you get elected. Chris Ray was not elected, 337 00:17:58,240 --> 00:18:00,399 Speaker 1: that's right, but Donald Trump was. Yeah. 338 00:18:00,440 --> 00:18:04,439 Speaker 2: So since our last episode, there's been a bunch of nominations, 339 00:18:04,600 --> 00:18:07,200 Speaker 2: and I think the one that we were really excited about, 340 00:18:07,400 --> 00:18:09,320 Speaker 2: though we haven't discussed don here yet, I think we 341 00:18:09,359 --> 00:18:13,040 Speaker 2: were hoping. But Jay Badashara is going to the NIH 342 00:18:13,240 --> 00:18:16,560 Speaker 2: and that's just huge. It's really karma in action. But 343 00:18:16,600 --> 00:18:19,040 Speaker 2: also he's just such a fantastic guy, and I think 344 00:18:19,040 --> 00:18:21,240 Speaker 2: he's going to do so great there. I think he 345 00:18:21,480 --> 00:18:25,160 Speaker 2: will bring trust back to an organization that desperately needs it. 346 00:18:25,400 --> 00:18:27,359 Speaker 2: You know, I think that that's probably I mean, I 347 00:18:27,440 --> 00:18:29,600 Speaker 2: think you tweeted it. It's your favorite pick. I think 348 00:18:29,600 --> 00:18:31,480 Speaker 2: it's you know, top three of mine as well. 349 00:18:32,320 --> 00:18:35,240 Speaker 1: Yeah, I'm very excited. It's poetic for him to go 350 00:18:35,320 --> 00:18:39,440 Speaker 1: to the organization who's head at the time, Francis Collins 351 00:18:39,600 --> 00:18:43,600 Speaker 1: and in a concert with Anthony Fauci, worked to smear 352 00:18:43,680 --> 00:18:46,280 Speaker 1: him publicly for being part of the Great Barrington Declaration. 353 00:18:46,480 --> 00:18:48,639 Speaker 1: And the Great Barrington Declaration was just like a very 354 00:18:48,680 --> 00:18:52,160 Speaker 1: simple truth speaking idea that was like, hey, I think 355 00:18:52,200 --> 00:18:54,280 Speaker 1: we'd be better off if we didn't deprive a bunch 356 00:18:54,320 --> 00:18:57,960 Speaker 1: of Americans of their freedom and focused our protection on 357 00:18:58,240 --> 00:19:00,960 Speaker 1: older people who are more vulnerable to this disease. 358 00:19:01,040 --> 00:19:04,080 Speaker 2: All right, things are part super Saiyane right now. To 359 00:19:04,160 --> 00:19:08,840 Speaker 2: everybody except Taylor Lorenz. Pretty much, she's a for those 360 00:19:08,840 --> 00:19:12,399 Speaker 2: who don't know, the Washington Post columnist who's tweeted today 361 00:19:12,440 --> 00:19:14,720 Speaker 2: that she's spending thousands of dollars on a book party 362 00:19:14,720 --> 00:19:17,680 Speaker 2: to keep it COVID safe. In December twenty twenty four 363 00:19:18,119 --> 00:19:21,800 Speaker 2: you got tests to go, Yeah, you got it, and 364 00:19:21,880 --> 00:19:23,680 Speaker 2: the rest of us are just what did she say, 365 00:19:23,680 --> 00:19:26,720 Speaker 2: like willy nilly breathing the air. I don't remember the 366 00:19:26,760 --> 00:19:28,520 Speaker 2: exact language, but it was something like that. 367 00:19:28,840 --> 00:19:30,879 Speaker 1: It was dirtier than that. But I've already gone dirty 368 00:19:30,920 --> 00:19:32,960 Speaker 1: once in this podcast, so I won't do it again. No, 369 00:19:33,240 --> 00:19:35,320 Speaker 1: I'm excited to see him there. He's the kind of 370 00:19:35,400 --> 00:19:39,240 Speaker 1: reformer that I appreciate. He's less of a bomb thrower. 371 00:19:39,320 --> 00:19:43,080 Speaker 1: He's a very smart, respected person. He's sort of astoundingly 372 00:19:43,119 --> 00:19:45,760 Speaker 1: mild mannered for what he went through. He's been like 373 00:19:45,800 --> 00:19:49,239 Speaker 1: sort of unfailingly kind to his critics, which I know 374 00:19:49,320 --> 00:19:52,359 Speaker 1: is like sometimes not the thing that my mega friends 375 00:19:52,359 --> 00:19:54,480 Speaker 1: are looking for, but amazing. 376 00:19:54,640 --> 00:19:57,200 Speaker 2: I mean, yeah, I think sometimes you need to lay 377 00:19:57,240 --> 00:19:59,639 Speaker 2: the back down, but he is. I like that he 378 00:19:59,680 --> 00:20:02,320 Speaker 2: does it in a very thoughtful, calm manner. 379 00:20:02,480 --> 00:20:04,040 Speaker 1: He does still lay this back down. 380 00:20:04,080 --> 00:20:07,120 Speaker 2: It's just not you know, he doesn't curse or anything. 381 00:20:07,480 --> 00:20:09,480 Speaker 1: But like, if you're if you're if you're building my 382 00:20:09,720 --> 00:20:13,920 Speaker 1: kind of reformer ideal, that's more in line with it 383 00:20:14,000 --> 00:20:16,600 Speaker 1: than a cashptel. Although I am, as I said, open 384 00:20:16,600 --> 00:20:19,800 Speaker 1: minded to hear from it. So so the other. 385 00:20:19,680 --> 00:20:21,560 Speaker 2: Pick that I don't know. I'm kind of mixed on 386 00:20:21,600 --> 00:20:24,840 Speaker 2: this one, but Chad Kronister for head of the DEA 387 00:20:25,200 --> 00:20:26,879 Speaker 2: and the way the reason I'm mixed on it is 388 00:20:26,920 --> 00:20:29,640 Speaker 2: because Ron DeSantis came out and defended him, and I, 389 00:20:29,760 --> 00:20:32,200 Speaker 2: you know, generally trust Ron de Santis, but like I 390 00:20:32,240 --> 00:20:35,119 Speaker 2: said earlier in the episode, I don't love politicians and 391 00:20:35,160 --> 00:20:39,760 Speaker 2: they make mistakes sometime. Connistuur is known for he arrested 392 00:20:39,760 --> 00:20:43,840 Speaker 2: a pasture during the COVID, you know, the beginning of COVID, 393 00:20:43,960 --> 00:20:47,520 Speaker 2: and I just think, you know, unless you've apologized, unless 394 00:20:47,560 --> 00:20:51,399 Speaker 2: you have you know, had some sort of like awakening 395 00:20:51,440 --> 00:20:53,399 Speaker 2: where you realize that what you did was really wrong, 396 00:20:53,600 --> 00:20:55,920 Speaker 2: and if you have that, I'd like to hear about that. 397 00:20:56,240 --> 00:20:58,119 Speaker 2: I just I kind of don't have a lot of 398 00:20:58,160 --> 00:21:01,120 Speaker 2: grace for those people again unless they apologize and see 399 00:21:01,160 --> 00:21:03,320 Speaker 2: what they did wrong and are contrite about it. But 400 00:21:03,440 --> 00:21:06,080 Speaker 2: if you're arresting a pastor, I just don't want to 401 00:21:06,080 --> 00:21:10,000 Speaker 2: see you achieve, you know, further prominence in any role. 402 00:21:10,080 --> 00:21:14,800 Speaker 1: Really yeah, to me, the COVID bad behavior and like 403 00:21:14,920 --> 00:21:18,679 Speaker 1: depriving people there's civil liberties over an infectious disease is 404 00:21:18,680 --> 00:21:23,080 Speaker 1: a signal yep, that under even mild to medium pressure, 405 00:21:23,119 --> 00:21:25,119 Speaker 1: you might be willing to do the same again, and 406 00:21:25,160 --> 00:21:28,640 Speaker 1: you need to repent before I believe that you might 407 00:21:28,680 --> 00:21:29,520 Speaker 1: not do that. 408 00:21:29,520 --> 00:21:32,000 Speaker 2: That's really it. So I don't know why DeSantis. I 409 00:21:32,000 --> 00:21:35,560 Speaker 2: think maybe they have a good working personal relationship or whatever. 410 00:21:35,640 --> 00:21:38,880 Speaker 1: He's a sheriff in ways in Florida, but. 411 00:21:38,840 --> 00:21:42,000 Speaker 2: I don't know exactly where. But apparently has been kind 412 00:21:42,000 --> 00:21:44,760 Speaker 2: of helpful to DeSantis in other ways when they got 413 00:21:44,800 --> 00:21:50,640 Speaker 2: rid of the Soros back prosecutor. But nevertheless, I am 414 00:21:50,680 --> 00:21:53,840 Speaker 2: not as forgiving, so or again I am as forgiving 415 00:21:53,920 --> 00:21:56,040 Speaker 2: I am, but let me hear some contrash. 416 00:21:56,160 --> 00:21:57,000 Speaker 1: You got to have remorse. 417 00:21:57,119 --> 00:22:00,199 Speaker 2: Yeah, yeah, yeah, and I'm a talk forgiveness. Right, going 418 00:22:00,200 --> 00:22:03,160 Speaker 2: to take a short break and come right back with normally. 419 00:22:06,119 --> 00:22:07,760 Speaker 1: Shall we talk about the dating scene? 420 00:22:08,080 --> 00:22:11,679 Speaker 2: Well, yeah, let's talk about the dating scene? Sorry happened? 421 00:22:11,680 --> 00:22:13,680 Speaker 2: Whose fault was it that Trump got elected? 422 00:22:14,240 --> 00:22:16,480 Speaker 1: Oh my gosh, you know, it's the men's fault. It's 423 00:22:16,480 --> 00:22:20,159 Speaker 1: always the men's fault, Carol. And as a podcast of 424 00:22:20,240 --> 00:22:22,240 Speaker 1: ladies that is nonetheless a fan of men. 425 00:22:22,840 --> 00:22:23,680 Speaker 2: Yeah, we like the men. 426 00:22:24,040 --> 00:22:25,639 Speaker 1: We did want to talk about this. This is a 427 00:22:25,640 --> 00:22:28,399 Speaker 1: New York Times opinion piece how our messed up dating 428 00:22:28,440 --> 00:22:33,880 Speaker 1: culture leads to loneliness, anger, and Donald Trump. Sarah Burnstein 429 00:22:33,960 --> 00:22:35,639 Speaker 1: is the author. It's very long, by the way, but 430 00:22:35,640 --> 00:22:37,240 Speaker 1: I'm going to give you the thesis at the beginning. 431 00:22:37,320 --> 00:22:41,520 Speaker 1: Joe Rogan elon Musk representatives of pro culture are on 432 00:22:41,640 --> 00:22:44,960 Speaker 1: the ascent, bringing with them an army of disaffected young men. 433 00:22:45,200 --> 00:22:47,320 Speaker 1: But where did they come from? Many argue that a 434 00:22:47,359 --> 00:22:49,720 Speaker 1: generation of men are resentful because they have fallen behind 435 00:22:49,720 --> 00:22:52,680 Speaker 1: women in work, in school. I believe this shift would 436 00:22:52,680 --> 00:22:54,879 Speaker 1: not have been so destabilizing were it not for the 437 00:22:54,880 --> 00:22:58,040 Speaker 1: fact that our society still has one glass slippered foot 438 00:22:58,400 --> 00:23:01,920 Speaker 1: in the world of Cinderella, by which she means that 439 00:23:01,960 --> 00:23:04,280 Speaker 1: men men are falling behind on all of these metrics. 440 00:23:04,280 --> 00:23:07,760 Speaker 1: And she does lay that out educational attainment, their general 441 00:23:07,800 --> 00:23:11,200 Speaker 1: happiness in life, the economic opportunities for them, and yet 442 00:23:11,240 --> 00:23:14,159 Speaker 1: our culture does nothing but girl power. She's saying, the 443 00:23:14,200 --> 00:23:17,280 Speaker 1: real problem is that women haven't let go of their 444 00:23:17,320 --> 00:23:20,639 Speaker 1: desire to date a more successful man and marry a 445 00:23:20,680 --> 00:23:21,600 Speaker 1: more successful man. 446 00:23:21,840 --> 00:23:24,680 Speaker 2: Right, So I actually read this article as she's blaming women. 447 00:23:24,840 --> 00:23:26,720 Speaker 2: I know it's supposed to be a pro woman article, 448 00:23:26,760 --> 00:23:29,480 Speaker 2: but she ends up arguing that women should lower their standards. 449 00:23:29,560 --> 00:23:32,240 Speaker 2: I don't know. She writes that women should quote let 450 00:23:32,280 --> 00:23:35,600 Speaker 2: go of the male breadwinner norm. I mean, you know 451 00:23:35,640 --> 00:23:38,199 Speaker 2: who would be thrilled with that? Men? Men would be thrilled. 452 00:23:38,359 --> 00:23:40,959 Speaker 2: You know, the idea that men are like just dying 453 00:23:41,040 --> 00:23:44,840 Speaker 2: to like support and to be the sole breadwinner. It's 454 00:23:44,920 --> 00:23:47,520 Speaker 2: just come on, it's just not true. 455 00:23:47,960 --> 00:23:51,119 Speaker 1: Well, and I think part of the part of the 456 00:23:51,119 --> 00:23:55,160 Speaker 1: issue with Democrats is that throughout this campaign they revealed, 457 00:23:55,160 --> 00:23:57,439 Speaker 1: and for throughout the last ten years, they revealed that 458 00:23:57,520 --> 00:24:01,480 Speaker 1: they don't much care for men. So she's like going 459 00:24:01,520 --> 00:24:06,639 Speaker 1: on this long journey to explain why men didn't vote 460 00:24:06,680 --> 00:24:09,800 Speaker 1: for Kamala Harris really, because that's like her actual concern 461 00:24:10,200 --> 00:24:12,520 Speaker 1: is that they get in line and do that. But 462 00:24:12,800 --> 00:24:14,720 Speaker 1: if you tell them that you don't like them over 463 00:24:14,760 --> 00:24:16,520 Speaker 1: and over again and that they're toxic and they're the 464 00:24:16,560 --> 00:24:19,840 Speaker 1: problem with everything, they don't want to hang out with you. 465 00:24:20,720 --> 00:24:24,600 Speaker 1: I don't understand why they have trouble understanding that. 466 00:24:25,240 --> 00:24:27,879 Speaker 2: It's also funny that she opens it with Elon Musk 467 00:24:27,920 --> 00:24:31,920 Speaker 2: and Joe Rogan, two extremely like wildly beyond all measure 468 00:24:32,000 --> 00:24:35,200 Speaker 2: successful men, only to then talk about men who don't 469 00:24:35,200 --> 00:24:37,679 Speaker 2: succeed It's like, make the connection for me, just that 470 00:24:37,680 --> 00:24:38,600 Speaker 2: they're men, that's. 471 00:24:38,440 --> 00:24:41,679 Speaker 1: It, Like, yeah, you know, so they're just they're just 472 00:24:41,760 --> 00:24:43,600 Speaker 1: like I mean, that's part of it is that they 473 00:24:43,600 --> 00:24:48,119 Speaker 1: are just a picture of things. She vaguely doesn't like, 474 00:24:48,720 --> 00:24:51,200 Speaker 1: right because actually Elon Musk and Joe Rogan are quite 475 00:24:51,280 --> 00:24:55,679 Speaker 1: different people, hugely different people in hugely different fields. But 476 00:24:55,720 --> 00:24:56,840 Speaker 1: she's like ew. 477 00:24:57,119 --> 00:25:00,480 Speaker 2: Right, yeah yeah, And then she's like and these these 478 00:25:00,520 --> 00:25:04,040 Speaker 2: men also, yeah, they count bone gpt on X, which 479 00:25:04,080 --> 00:25:05,720 Speaker 2: is where I saw the story in the first place, 480 00:25:05,840 --> 00:25:08,520 Speaker 2: points out that the article basically does blame women for 481 00:25:08,600 --> 00:25:11,879 Speaker 2: Trump's selection, and he says, quote, is women cause Donald 482 00:25:11,880 --> 00:25:14,840 Speaker 2: Trump to happen by doing too well after getting rights 483 00:25:14,880 --> 00:25:18,760 Speaker 2: and still demanding marry up? And this is the New 484 00:25:18,840 --> 00:25:21,160 Speaker 2: York Times. Like she thinks she's making a pro woman 485 00:25:21,680 --> 00:25:23,320 Speaker 2: argument here. I just don't see it. 486 00:25:23,480 --> 00:25:26,720 Speaker 1: And I also love the idea that women have succeeded more. 487 00:25:27,080 --> 00:25:32,879 Speaker 1: We shouldn't make sure that men have equal opportunities. We 488 00:25:32,880 --> 00:25:35,240 Speaker 1: should just get women to go. I guess I'll just 489 00:25:35,320 --> 00:25:39,399 Speaker 1: throw my hands up and marry whomever right well, because 490 00:25:39,600 --> 00:25:43,399 Speaker 1: it makes them itch to think about doing anything to 491 00:25:43,480 --> 00:25:47,040 Speaker 1: make sure that men succeed. They don't like that idea 492 00:25:47,080 --> 00:25:47,360 Speaker 1: at all. 493 00:25:48,280 --> 00:25:50,640 Speaker 2: Yeah, but that's not the solution, Mary Catherine. 494 00:25:51,080 --> 00:25:51,240 Speaker 3: No. 495 00:25:51,560 --> 00:25:53,640 Speaker 1: By the way, one of the things that I keep 496 00:25:53,680 --> 00:25:56,720 Speaker 1: telling liberal friends who might be concerned about the young 497 00:25:56,760 --> 00:25:59,240 Speaker 1: men and the fact that they went right, is if 498 00:25:59,240 --> 00:26:03,040 Speaker 1: indeed we have an entire generation of disaffected young men, 499 00:26:03,640 --> 00:26:09,680 Speaker 1: who whose adolescence or early adulthood was destroyed by COVID insanity, 500 00:26:09,800 --> 00:26:11,800 Speaker 1: who spend a lot of time online, who are maybe 501 00:26:11,800 --> 00:26:14,520 Speaker 1: a little bit underemployed, who didn't go to college, all 502 00:26:14,560 --> 00:26:17,160 Speaker 1: these things that might lead them not to be engaged 503 00:26:17,200 --> 00:26:21,520 Speaker 1: in society. If they remain disengaged, that's bad for all 504 00:26:21,560 --> 00:26:24,600 Speaker 1: of us. You know what's good for us If they 505 00:26:24,640 --> 00:26:30,640 Speaker 1: make their disaffection known by voting for a candidate free election. 506 00:26:31,000 --> 00:26:37,360 Speaker 1: That is an extremely healthy way. Yeah, like, I think 507 00:26:37,480 --> 00:26:39,840 Speaker 1: I think we're actually on the right track. But because 508 00:26:39,880 --> 00:26:44,399 Speaker 1: they didn't engage by voting for Kamala Harris, right, still 509 00:26:44,440 --> 00:26:46,680 Speaker 1: scary and bad. Yeah. 510 00:26:46,760 --> 00:26:51,080 Speaker 2: Yeah, yeah, it's really something that The New York Times 511 00:26:51,119 --> 00:26:54,440 Speaker 2: has now decided that women need to just settle and, 512 00:26:55,040 --> 00:26:57,640 Speaker 2: you know, marry one of these losers and make them 513 00:26:57,720 --> 00:26:59,760 Speaker 2: vote for the right person next side. 514 00:27:00,640 --> 00:27:03,199 Speaker 1: That sounds like such a bad recipe for both the 515 00:27:03,240 --> 00:27:06,760 Speaker 1: women and the man, like exact that, Yeah, letting go 516 00:27:06,800 --> 00:27:09,160 Speaker 1: of the male breadwinner norm is not an instant fixed 517 00:27:09,160 --> 00:27:12,040 Speaker 1: for our culture, but we can't move forward without that step. 518 00:27:12,240 --> 00:27:15,120 Speaker 1: After all, breadwinner is not only a limiting identity, it's 519 00:27:15,240 --> 00:27:17,280 Speaker 1: also a relative one. If we don't release men from 520 00:27:17,280 --> 00:27:20,439 Speaker 1: the expectation, any plan to help them regain lost ground 521 00:27:20,680 --> 00:27:23,520 Speaker 1: will have to also ensure that women never catch up. 522 00:27:23,840 --> 00:27:25,439 Speaker 2: And then then there was the line in there that 523 00:27:25,560 --> 00:27:28,520 Speaker 2: was like, men are only comfortable, according to studies when 524 00:27:28,520 --> 00:27:31,199 Speaker 2: a woman makes forty percent of what they make. And 525 00:27:31,240 --> 00:27:33,720 Speaker 2: my husband sent me that and was like, I can 526 00:27:33,760 --> 00:27:36,119 Speaker 2: put aside my pride and you could make two hundred 527 00:27:36,119 --> 00:27:37,080 Speaker 2: percent of what I make. 528 00:27:37,280 --> 00:27:41,080 Speaker 1: I'll be happy to study aside. Also, I do. I 529 00:27:41,119 --> 00:27:45,440 Speaker 1: think the idea that the New York Times can't engage 530 00:27:45,480 --> 00:27:50,159 Speaker 1: with is that it might be okay for women to 531 00:27:50,280 --> 00:27:54,320 Speaker 1: want someone who's more successful, That they might want to 532 00:27:54,359 --> 00:27:57,240 Speaker 1: not be in a traditional working role, That they might 533 00:27:57,600 --> 00:28:01,560 Speaker 1: want to have what they're doing at home supported by 534 00:28:01,640 --> 00:28:04,560 Speaker 1: someone who is capable of breadwinning. Like a lot of 535 00:28:04,600 --> 00:28:06,280 Speaker 1: people want that. 536 00:28:06,640 --> 00:28:09,560 Speaker 2: Yeah, they can't go there, obviously, that would be a 537 00:28:09,640 --> 00:28:12,280 Speaker 2: bridge too far. No, they're gonna get instead, they're gonna 538 00:28:12,320 --> 00:28:13,840 Speaker 2: concoct this whole other society. 539 00:28:14,200 --> 00:28:16,919 Speaker 1: Yeah, it's like a pathology that you might have a 540 00:28:17,040 --> 00:28:20,679 Speaker 1: dude out making money and his wife at home taking 541 00:28:20,760 --> 00:28:23,840 Speaker 1: care of the house. I don't, I know, wild and crazy. 542 00:28:24,000 --> 00:28:27,760 Speaker 2: Well, thanks for joining us on Normally. Normally airs Tuesdays 543 00:28:27,760 --> 00:28:30,920 Speaker 2: and Thursdays, and you can subscribe anywhere you get your podcasts. 544 00:28:31,040 --> 00:28:34,200 Speaker 2: Get in touch with us at normallythepod at gmail dot com. 545 00:28:34,200 --> 00:28:37,080 Speaker 2: We love hearing from you. Thanks for listening, and when 546 00:28:37,119 --> 00:28:39,000 Speaker 2: things get weird at normally