1 00:00:06,800 --> 00:00:09,080 Speaker 1: Hey, we're back on normal. The show with normal it 2 00:00:09,119 --> 00:00:10,559 Speaker 1: takes for winning news getting weird. 3 00:00:10,640 --> 00:00:12,879 Speaker 2: I am Mary Caston, I am Carol marc O. Wiz. 4 00:00:12,880 --> 00:00:14,440 Speaker 2: How is your weekend, Mary Catherine? 5 00:00:14,720 --> 00:00:16,640 Speaker 1: Oh, it's pretty good, other than the fact that we 6 00:00:16,680 --> 00:00:18,640 Speaker 1: got a bunch of tornadoes coming through here later today. 7 00:00:18,680 --> 00:00:21,040 Speaker 1: So we're gonna get this podcast done before severe weather. 8 00:00:21,200 --> 00:00:21,599 Speaker 1: That's ok. 9 00:00:22,200 --> 00:00:25,000 Speaker 2: Yeah, that's that's something you should definitely get done today. 10 00:00:25,040 --> 00:00:28,040 Speaker 2: Then I tornadoes. You guys get tornadoes. I didn't realize that. 11 00:00:28,320 --> 00:00:31,120 Speaker 1: Yeah, the mid Atlantic gets tornadoes occasionally, but this is 12 00:00:31,120 --> 00:00:32,720 Speaker 1: a little bit of an odd thing. And they're saying 13 00:00:32,760 --> 00:00:34,279 Speaker 1: it's going to be a strong storm. I guess we'll 14 00:00:34,280 --> 00:00:35,360 Speaker 1: know by the time this airs. 15 00:00:35,600 --> 00:00:42,840 Speaker 2: So that's the very all right, we are finally having 16 00:00:42,960 --> 00:00:45,760 Speaker 2: nice weather. We went to the beach this weekend because 17 00:00:45,840 --> 00:00:49,040 Speaker 2: you know, summer's finally here after a long, hard winter. 18 00:00:50,840 --> 00:00:53,760 Speaker 1: Sure it was very hard, very very Laura ingles down 19 00:00:53,760 --> 00:00:54,640 Speaker 1: there for you guys. 20 00:00:56,560 --> 00:01:00,840 Speaker 2: We buckled down and wore sweatshirts. You know, we too 21 00:01:00,920 --> 00:01:01,600 Speaker 2: have suffered. 22 00:01:04,560 --> 00:01:07,200 Speaker 1: I'm sure. All right, I'm happy for you guys. 23 00:01:07,319 --> 00:01:12,760 Speaker 2: Thank you. I'm happy you're happy, you know. Okay, all right, 24 00:01:12,840 --> 00:01:17,000 Speaker 2: let's do it. You know, Look, we like to talk 25 00:01:17,040 --> 00:01:22,080 Speaker 2: about news that matters here on normally, and I frequently 26 00:01:22,200 --> 00:01:26,760 Speaker 2: don't think that the podcast Wars is news that matters. 27 00:01:26,800 --> 00:01:30,240 Speaker 2: But of course it has now kind of taken a 28 00:01:30,440 --> 00:01:37,360 Speaker 2: turn into actual, possible, real news. Over the weekend, Tucker 29 00:01:37,400 --> 00:01:41,240 Speaker 2: Carlson said that he was being investigated by the CIA. 30 00:01:41,360 --> 00:01:45,479 Speaker 2: They were reading his texts with Iran and are quote 31 00:01:45,560 --> 00:01:50,800 Speaker 2: unquote framing him as a foreign agent. Now, everybody that 32 00:01:50,920 --> 00:01:54,840 Speaker 2: heard that would like Tucker saying I'm being investigated by 33 00:01:54,880 --> 00:01:58,400 Speaker 2: the CIA. Everybody was like, oh, because you're a foreign asset. 34 00:01:58,480 --> 00:02:02,720 Speaker 2: That totally makes sense now, And the thing is that 35 00:02:02,760 --> 00:02:07,400 Speaker 2: he has behaved so erratically and done so many weird 36 00:02:07,520 --> 00:02:11,360 Speaker 2: things and flipped his positions so entirely, But even setting 37 00:02:11,400 --> 00:02:14,440 Speaker 2: that aside, people can change whatever. He's had so many 38 00:02:14,480 --> 00:02:18,360 Speaker 2: moments that made no sense, Like he had one recently 39 00:02:18,600 --> 00:02:22,679 Speaker 2: where he said that Saudi Arabia and Qatar had arrested 40 00:02:22,720 --> 00:02:27,240 Speaker 2: agents of MASAD, the Israeli intelligence agency, who were planning 41 00:02:27,320 --> 00:02:31,200 Speaker 2: bombings in these countries. Now Saudi Arabia and Qatar. Qatar 42 00:02:31,320 --> 00:02:35,400 Speaker 2: quickly pushed back and said, yeah, absolutely not, this never happened. 43 00:02:35,880 --> 00:02:38,160 Speaker 2: But now it's like, did he hear that from Iran, 44 00:02:38,360 --> 00:02:41,560 Speaker 2: and that's why he shared this false news, because Iran 45 00:02:41,680 --> 00:02:43,760 Speaker 2: wanted to get a piece of news like that out 46 00:02:43,800 --> 00:02:48,639 Speaker 2: there and use their dupe in the US to do that. Unclear, 47 00:02:49,440 --> 00:02:53,200 Speaker 2: but things like that have really, you know, made the 48 00:02:53,280 --> 00:02:56,320 Speaker 2: rounds in the last few days because of Tucker's commentary. 49 00:02:56,440 --> 00:03:00,160 Speaker 2: But the thing is because he lies so frequently, like 50 00:03:00,200 --> 00:03:03,760 Speaker 2: when he lied about being detained at Bengurian Airport in 51 00:03:03,840 --> 00:03:06,000 Speaker 2: Israel and everybody was like, it's an airport. He went 52 00:03:06,040 --> 00:03:09,720 Speaker 2: through security and VIP security at that where he posed 53 00:03:09,760 --> 00:03:14,960 Speaker 2: for pictures. The other more likely possibility is that Tucker 54 00:03:15,160 --> 00:03:18,160 Speaker 2: is just lying for the hits and the clicks, which 55 00:03:18,600 --> 00:03:22,320 Speaker 2: he is now wont to do. What do you think, Yeah. 56 00:03:22,160 --> 00:03:24,120 Speaker 1: I was gonna say that's the There's a couple theories. 57 00:03:24,120 --> 00:03:26,440 Speaker 1: One that he's just making it up as he goes 58 00:03:26,880 --> 00:03:30,519 Speaker 1: and that it will get lots of clicks, and it did. Two, 59 00:03:31,280 --> 00:03:36,240 Speaker 1: he's saying I was texting with Iranians. He doesn't say who, 60 00:03:37,120 --> 00:03:39,440 Speaker 1: but he goes on in the clip to say this 61 00:03:39,520 --> 00:03:42,360 Speaker 1: happened to me before with intelligence services when I was 62 00:03:42,400 --> 00:03:45,960 Speaker 1: trying to set up an interview with Vladimir Putin. So 63 00:03:46,040 --> 00:03:49,320 Speaker 1: it the analogy would suggest maybe it's someone very high 64 00:03:49,800 --> 00:03:53,960 Speaker 1: in Iran who he's discussing things with, if that's true 65 00:03:54,000 --> 00:03:57,200 Speaker 1: at all. But there's also the possibility that he's not 66 00:03:57,320 --> 00:04:00,840 Speaker 1: being spied on, but that the person he was talking 67 00:04:00,880 --> 00:04:02,640 Speaker 1: to was being spied on. 68 00:04:02,800 --> 00:04:06,960 Speaker 2: That's the likely possibility there very story if. 69 00:04:06,760 --> 00:04:08,800 Speaker 1: The story is too true, that the spying was coming 70 00:04:08,840 --> 00:04:11,960 Speaker 1: from the other end of the telephone or text line. 71 00:04:12,920 --> 00:04:16,400 Speaker 1: And then there was a very uh, sort of spy 72 00:04:16,520 --> 00:04:21,960 Speaker 1: games theory that I love. Yeah, that Trump knew that 73 00:04:22,520 --> 00:04:26,080 Speaker 1: Tucker was enthralled to the Runians and to some degree 74 00:04:26,839 --> 00:04:29,480 Speaker 1: and sending them information, So he brought Tucker in remember 75 00:04:29,560 --> 00:04:31,800 Speaker 1: several times right before the Iranians. 76 00:04:31,480 --> 00:04:33,560 Speaker 2: Tr January seventeenth, and. 77 00:04:33,400 --> 00:04:36,599 Speaker 1: You and I both talked about, well, like this would 78 00:04:36,640 --> 00:04:39,599 Speaker 1: suggest we know that Tucker's going to lobby for not attacking. 79 00:04:39,680 --> 00:04:42,680 Speaker 1: That's that's all common knowledge. And we thought, well, that 80 00:04:42,760 --> 00:04:46,560 Speaker 1: suggests maybe he is staying his hand, and perhaps Trump 81 00:04:46,800 --> 00:04:49,640 Speaker 1: knew that's what that would signal and was using Tucker 82 00:04:49,839 --> 00:04:52,120 Speaker 1: for that. I'm not sure that I buy that the 83 00:04:52,120 --> 00:04:55,640 Speaker 1: Intel and the administration were aligned in that way and 84 00:04:55,720 --> 00:04:59,600 Speaker 1: did that so seamlessly, but it is an interesting theory. 85 00:05:00,040 --> 00:05:02,160 Speaker 2: I mean I love that theory. Look, I didn't think 86 00:05:02,200 --> 00:05:04,039 Speaker 2: it was true. I thought the whole time I was like, 87 00:05:04,040 --> 00:05:06,120 Speaker 2: I think Tucker is just lying. But it was a 88 00:05:06,240 --> 00:05:10,200 Speaker 2: real fun Sunday to see the possibilities that people were 89 00:05:10,200 --> 00:05:15,719 Speaker 2: coming up with. Because if the Trump administration did know 90 00:05:15,960 --> 00:05:19,280 Speaker 2: in advance that Tucker was talking to the Iranians, and 91 00:05:19,440 --> 00:05:22,080 Speaker 2: if they invited him to the White House to kind 92 00:05:22,080 --> 00:05:25,000 Speaker 2: of send the signal to Iran that we won't be attacking. Look, 93 00:05:25,040 --> 00:05:29,640 Speaker 2: we're listening to this guy. It's an interesting theory. And 94 00:05:29,720 --> 00:05:31,880 Speaker 2: also Tucker on his show a few days ago said, 95 00:05:32,240 --> 00:05:37,960 Speaker 2: describe what the USA his country allegedly did in Iran 96 00:05:38,120 --> 00:05:41,640 Speaker 2: as a sneak attack and how wrong that was. And 97 00:05:41,680 --> 00:05:45,719 Speaker 2: that kind of language lends credibility to the idea that 98 00:05:46,600 --> 00:05:50,320 Speaker 2: the Trump administration had lulled Iran into a false sense 99 00:05:50,320 --> 00:05:55,440 Speaker 2: of security by using Tucker Carlson. Is it true? I 100 00:05:55,480 --> 00:05:55,839 Speaker 2: doubt it. 101 00:05:55,960 --> 00:05:58,240 Speaker 1: There's also the fact with Trump that he's always sort 102 00:05:58,240 --> 00:06:03,240 Speaker 1: of just this like the deal guy who is always 103 00:06:04,160 --> 00:06:08,040 Speaker 1: pushing people in weird directions and signaling weird things, and 104 00:06:08,080 --> 00:06:11,320 Speaker 1: it all sort of comes together to his benefit often. No, 105 00:06:11,720 --> 00:06:15,880 Speaker 1: I'm not a like Trump playing five D chess theorist. 106 00:06:15,600 --> 00:06:18,880 Speaker 3: But maybe, but he does have an ability to know 107 00:06:19,640 --> 00:06:23,560 Speaker 3: like who the players are, what they want, what everyone's signaling, 108 00:06:23,880 --> 00:06:26,120 Speaker 3: because he's been doing this for a very long time 109 00:06:26,200 --> 00:06:29,800 Speaker 3: in other capacities obviously, so I don't know. 110 00:06:29,960 --> 00:06:30,479 Speaker 1: Interesting. 111 00:06:32,160 --> 00:06:36,240 Speaker 2: I mean also the fact that Tucker is constantly calling 112 00:06:36,279 --> 00:06:38,520 Speaker 2: everybody who doesn't agree with him an agent of Israel. 113 00:06:39,200 --> 00:06:42,159 Speaker 2: Everybody's a foreign agent to Tucker. If he ends up 114 00:06:42,200 --> 00:06:46,000 Speaker 2: being the actual foreign agent, there's something really just delicious 115 00:06:46,040 --> 00:06:46,480 Speaker 2: about that. 116 00:06:47,320 --> 00:06:50,440 Speaker 1: Yeah, whenever I read a Candice Owen's tweet, I think 117 00:06:50,480 --> 00:06:53,320 Speaker 1: every accusation is a confession. Like that's what it feels 118 00:06:53,360 --> 00:06:56,800 Speaker 1: like to me. There's a there's a group of folks 119 00:06:56,839 --> 00:07:00,480 Speaker 1: who I'm like, yeah, this seems like the thing pointing 120 00:07:00,560 --> 00:07:01,800 Speaker 1: back to you a little bit here. 121 00:07:02,360 --> 00:07:05,120 Speaker 2: Yeah, And look, why would he come out with this, right? 122 00:07:05,520 --> 00:07:08,440 Speaker 2: It either is to draw attention, like to back to 123 00:07:08,480 --> 00:07:10,520 Speaker 2: his podcast, you know, if there was a dip in 124 00:07:10,600 --> 00:07:13,280 Speaker 2: conversation where Tucker wasn't mentioned for five minutes and he 125 00:07:13,320 --> 00:07:15,600 Speaker 2: wants to be back in the news or to get 126 00:07:15,600 --> 00:07:19,720 Speaker 2: ahead of the story that might be breaking. So we'll see. 127 00:07:20,800 --> 00:07:23,960 Speaker 2: And again, I'm loath to talk about these people because 128 00:07:24,280 --> 00:07:26,960 Speaker 2: all they want is our attention. All they want is 129 00:07:27,000 --> 00:07:30,000 Speaker 2: eyeballs and clicks, and that's all they care about, and 130 00:07:30,840 --> 00:07:32,120 Speaker 2: I just don't want to give it to them. 131 00:07:32,400 --> 00:07:33,600 Speaker 1: But this is. 132 00:07:33,600 --> 00:07:37,880 Speaker 2: Obviously if Tucker Carlson is an agent of BRAN, that 133 00:07:38,120 --> 00:07:41,320 Speaker 2: would be news, that would be news. Markaputo, who is 134 00:07:41,360 --> 00:07:44,280 Speaker 2: a Trump White House reporter for Axios, says the story 135 00:07:44,600 --> 00:07:48,080 Speaker 2: is not true. He says, top admin officials say it's 136 00:07:48,360 --> 00:07:54,040 Speaker 2: BS and look are they going to tell Markaputo that 137 00:07:54,400 --> 00:07:59,440 Speaker 2: they're investigating Tucker Carlson. I don't know, he says. Also 138 00:07:59,480 --> 00:08:03,200 Speaker 2: Mark says DOJFBI is getting a lot of citizen requests 139 00:08:03,200 --> 00:08:09,920 Speaker 2: to investigate, to investigate Tucker Reefara, So who knows. Right Again, 140 00:08:10,040 --> 00:08:13,040 Speaker 2: We'll stay on top of this and see what happens. 141 00:08:13,200 --> 00:08:18,560 Speaker 2: But it's likely just podcaster nonsense where he would like 142 00:08:18,920 --> 00:08:22,120 Speaker 2: more attention. And I've also said I think he's having 143 00:08:22,160 --> 00:08:24,720 Speaker 2: some sort of mental break. He doesn't look like himself anymore, 144 00:08:24,720 --> 00:08:27,040 Speaker 2: he doesn't laugh like himself. I was a big fan 145 00:08:27,120 --> 00:08:29,160 Speaker 2: of his, I rooted for him. I wanted him to 146 00:08:29,160 --> 00:08:33,640 Speaker 2: succeed Postbox. He just fell off a cliff and I 147 00:08:33,720 --> 00:08:35,679 Speaker 2: know people are like, oh, just because he opposes the 148 00:08:35,720 --> 00:08:37,760 Speaker 2: war in Iran, like, no, I'm sorry. It's not just 149 00:08:37,840 --> 00:08:40,240 Speaker 2: because he opposes the war in Iran. It's because he 150 00:08:40,320 --> 00:08:43,960 Speaker 2: seems like a different person altogether. He throws out horrible 151 00:08:44,040 --> 00:08:48,760 Speaker 2: accusations against all kinds of people. He says things that 152 00:08:48,840 --> 00:08:51,520 Speaker 2: I think he would have just been shocked at before. 153 00:08:52,080 --> 00:08:54,520 Speaker 2: He's not the same guy that he used to be. 154 00:08:54,559 --> 00:08:57,400 Speaker 2: And it's not about Israel either. When he talks about 155 00:08:57,440 --> 00:09:00,800 Speaker 2: how Jews needs to get DNA tests, or how he 156 00:09:00,880 --> 00:09:04,920 Speaker 2: alludes to Jews pedophiles, or ties him into Epstein, or 157 00:09:04,960 --> 00:09:07,560 Speaker 2: says that Israel was involved in nine to eleven, none 158 00:09:07,600 --> 00:09:11,199 Speaker 2: of that is quote unquote criticism of what Israel is 159 00:09:11,240 --> 00:09:14,679 Speaker 2: doing in Gaza. It's a completely other level and it's 160 00:09:14,720 --> 00:09:18,600 Speaker 2: absolutely insane. Like he released a clip from his own 161 00:09:18,600 --> 00:09:20,880 Speaker 2: show just a few hours ago and he said, why 162 00:09:20,880 --> 00:09:23,160 Speaker 2: do all of our elected leaders seem to be devoted 163 00:09:23,200 --> 00:09:26,760 Speaker 2: to serving Israel? And the people in that clip are 164 00:09:26,800 --> 00:09:31,360 Speaker 2: like Rubio Patel, heg Seth, I mean, Huckabee. This is 165 00:09:31,440 --> 00:09:35,040 Speaker 2: not questioning Israeli policy in Gaza. This is not opposing 166 00:09:35,040 --> 00:09:37,960 Speaker 2: the Iranian war. This is something else entirely. This is 167 00:09:37,960 --> 00:09:42,839 Speaker 2: making horrific accusations against his own fellow countrymen. But also 168 00:09:43,120 --> 00:09:46,240 Speaker 2: allegedly the people on his own political side, which I 169 00:09:46,240 --> 00:09:48,240 Speaker 2: don't think he's on the right at all anymore. I 170 00:09:48,320 --> 00:09:53,040 Speaker 2: mean one of our first mentions of Tucker's most recent insanities. 171 00:09:53,360 --> 00:09:55,480 Speaker 2: I was a big fan of Tucker Carlson's back when 172 00:09:55,480 --> 00:09:57,680 Speaker 2: he was a conservative. I don't know he is anymore. 173 00:09:58,760 --> 00:10:00,600 Speaker 1: My breaking point was when he went to Russia and 174 00:10:00,679 --> 00:10:05,319 Speaker 1: was like, wow, the technology and living style. I was like, no, 175 00:10:05,440 --> 00:10:08,920 Speaker 1: thank you, I'm out on this. I did a lecture 176 00:10:08,960 --> 00:10:11,400 Speaker 1: at Hillsdale College last week while I was there, and 177 00:10:11,440 --> 00:10:14,120 Speaker 1: it was on the fact that every day, for the 178 00:10:14,120 --> 00:10:17,080 Speaker 1: rest of our lives in a modern info ecosystem, your 179 00:10:17,160 --> 00:10:18,720 Speaker 1: job is to figure out what is real and what 180 00:10:18,800 --> 00:10:20,960 Speaker 1: is not. And it takes a lot of time, and 181 00:10:21,000 --> 00:10:23,439 Speaker 1: it takes a lot of thinking through what people's possible 182 00:10:23,480 --> 00:10:25,800 Speaker 1: motivations are. One of the things I think the federal 183 00:10:25,800 --> 00:10:28,560 Speaker 1: government could do is get serious about who's being paid 184 00:10:28,559 --> 00:10:30,440 Speaker 1: by foreign entities, because it would be nice to know, 185 00:10:31,000 --> 00:10:35,080 Speaker 1: and people could make their assessments of those truth tellers 186 00:10:35,600 --> 00:10:41,120 Speaker 1: given that information. But there's a broader podcast war going 187 00:10:41,160 --> 00:10:44,560 Speaker 1: on that is just eating up hours and hours of 188 00:10:44,600 --> 00:10:49,760 Speaker 1: talk time. Is not devoted to policy. It's you know, 189 00:10:49,880 --> 00:10:53,440 Speaker 1: Candice versus Ben Shapiro. Ben Shapiro and Megan back and 190 00:10:53,480 --> 00:10:57,240 Speaker 1: forth with each other. Piers Morgan got brought into it somewhere, 191 00:10:58,280 --> 00:10:59,600 Speaker 1: And one of the things I want to say about 192 00:10:59,600 --> 00:11:03,320 Speaker 1: Peers More is that in like Megan Kelly's defending Piers 193 00:11:03,360 --> 00:11:07,600 Speaker 1: Morgan against Ben Shapiro, and it's like she asked at 194 00:11:07,600 --> 00:11:10,000 Speaker 1: one point, like how many people need to be removed 195 00:11:10,000 --> 00:11:12,240 Speaker 1: from the conservative movement to make Ben Shapiro happy? And 196 00:11:12,240 --> 00:11:13,880 Speaker 1: I would just like to point out that Peers Morgan 197 00:11:14,280 --> 00:11:17,520 Speaker 1: was never concerned ever. Ever, I don't I don't really 198 00:11:17,679 --> 00:11:19,840 Speaker 1: dislike the guy too much. I understand him for what 199 00:11:19,960 --> 00:11:23,560 Speaker 1: he is an entertainer, an entertainer, a tabloidy guy, a 200 00:11:23,600 --> 00:11:27,079 Speaker 1: sometimes interesting thinker who will engage different points of view, 201 00:11:27,360 --> 00:11:29,920 Speaker 1: and I'm fine with that, but he was not part 202 00:11:29,960 --> 00:11:35,520 Speaker 1: of the conservative move ever. The Ben Meghan dispute stems 203 00:11:35,559 --> 00:11:38,880 Speaker 1: from Candice Owens going off a cliff in the wake 204 00:11:38,960 --> 00:11:43,719 Speaker 1: of Charlie Kirk's assassination and Megan being sort of mystifyingly 205 00:11:43,800 --> 00:11:49,040 Speaker 1: unable to say that's bad, that the accusing the friends 206 00:11:49,040 --> 00:11:53,120 Speaker 1: of Charlie of being complicit in his murder is bad, 207 00:11:54,280 --> 00:11:57,280 Speaker 1: And that's been going on for months now, and now 208 00:11:57,320 --> 00:12:00,000 Speaker 1: we're to the point where Megan Kelly and Mark Levin 209 00:12:00,360 --> 00:12:03,040 Speaker 1: are going back and forth for three days fighting. And 210 00:12:03,080 --> 00:12:05,720 Speaker 1: here's where we get to the news part, Carol, because 211 00:12:05,720 --> 00:12:06,800 Speaker 1: I'm not going to do the news. 212 00:12:06,920 --> 00:12:08,160 Speaker 2: Yes, yes, I'm not going. 213 00:12:08,080 --> 00:12:10,000 Speaker 1: To dissect all of that. But here's the thing. Once 214 00:12:10,040 --> 00:12:13,040 Speaker 1: the President jumps in, that's news with a truth social 215 00:12:13,200 --> 00:12:15,480 Speaker 1: it is news. So he gets in to referee this 216 00:12:15,559 --> 00:12:18,680 Speaker 1: thing between Megan Kelly and Mark Levin. You'll remember that 217 00:12:18,920 --> 00:12:21,320 Speaker 1: Trump and Megan Kelly haven't always been on friendly terms. 218 00:12:21,360 --> 00:12:24,160 Speaker 1: After that first debate where she asked him really tough 219 00:12:24,240 --> 00:12:26,160 Speaker 1: questions in two thousand. 220 00:12:26,000 --> 00:12:30,120 Speaker 2: And I I thought, questions what you're supposed to be 221 00:12:30,160 --> 00:12:31,600 Speaker 2: asking at the debates. 222 00:12:31,520 --> 00:12:33,400 Speaker 1: For sure, for sure, And I thought he did not 223 00:12:33,559 --> 00:12:35,880 Speaker 1: treat her correctly either, and I was mad at him 224 00:12:35,880 --> 00:12:38,800 Speaker 1: at that time. So Donald Trump says, Mark Levin, a 225 00:12:38,840 --> 00:12:42,000 Speaker 1: truly great American patriot, is somewhat undersieged by other people 226 00:12:42,040 --> 00:12:45,079 Speaker 1: with far less intellect, capability and love for our country. 227 00:12:45,360 --> 00:12:48,200 Speaker 1: Mark is tough, strong, and brilliant. Hence the nickname The 228 00:12:48,200 --> 00:12:51,240 Speaker 1: Great One, conceived by our maga friend, the wonderful Sean Hannity. 229 00:12:51,280 --> 00:12:53,680 Speaker 1: After years of dealing with Mark and legal media and 230 00:12:53,760 --> 00:12:58,600 Speaker 1: other capacities. It goes on and on, but he asserts 231 00:12:58,640 --> 00:13:01,319 Speaker 1: that when it comes to this group of people who 232 00:13:01,360 --> 00:13:04,120 Speaker 1: are fighting Mark, they are not MAGA. 233 00:13:04,400 --> 00:13:04,880 Speaker 2: I am. 234 00:13:05,000 --> 00:13:08,280 Speaker 1: And MAGA includes not allowing Iran, a sick, demented and 235 00:13:08,360 --> 00:13:10,760 Speaker 1: violent terrorist regime, to have a nuclear weapon to blow 236 00:13:10,800 --> 00:13:13,000 Speaker 1: up the United States of America, the Middle East, and 237 00:13:13,120 --> 00:13:16,240 Speaker 1: ultimately the rest of the world. MAGA is about stopping 238 00:13:16,240 --> 00:13:18,560 Speaker 1: them cold, and that is exactly what we are doing. 239 00:13:18,840 --> 00:13:21,600 Speaker 1: God bless our military. Thank you for the attention to 240 00:13:21,720 --> 00:13:22,199 Speaker 1: this matter. 241 00:13:22,280 --> 00:13:25,920 Speaker 2: I love the attention to this matter. Yeah. I look, 242 00:13:26,040 --> 00:13:29,360 Speaker 2: you know, he likes Mark Levin a lot. He likes 243 00:13:29,360 --> 00:13:32,160 Speaker 2: Benjamin Nett Yahoo a lot. These people are not going 244 00:13:32,200 --> 00:13:36,200 Speaker 2: to be able to bully Trump into dropping him into 245 00:13:36,240 --> 00:13:39,800 Speaker 2: dropping either one of those people. And I mean, good 246 00:13:39,840 --> 00:13:40,680 Speaker 2: for Trump, you know. 247 00:13:41,520 --> 00:13:43,480 Speaker 1: Well, and it's very interesting for him to lay down 248 00:13:43,520 --> 00:13:45,800 Speaker 1: the marker that And I think he's right. If you 249 00:13:45,800 --> 00:13:49,040 Speaker 1: look at polling, there are influential people who disagree with 250 00:13:49,120 --> 00:13:53,160 Speaker 1: Trump's intervention here. Many of them align with the Vice president, 251 00:13:53,160 --> 00:13:56,880 Speaker 1: which is another interesting part of a Yeah, but the 252 00:13:56,920 --> 00:14:01,520 Speaker 1: majority of regular GOP voters are fine with the intervention, 253 00:14:02,080 --> 00:14:06,280 Speaker 1: fine with the strike may get moody later that they 254 00:14:06,280 --> 00:14:07,720 Speaker 1: could certainly get critical. 255 00:14:07,840 --> 00:14:09,640 Speaker 2: Of course we can get more critical. 256 00:14:10,280 --> 00:14:13,840 Speaker 1: But now, yeah, it is correct to say the majority 257 00:14:13,880 --> 00:14:18,320 Speaker 1: of them are with Trump, and that the podcast war 258 00:14:18,400 --> 00:14:22,600 Speaker 1: folks who are not are in they're the outliers, and 259 00:14:22,680 --> 00:14:23,840 Speaker 1: he's making that clear here. 260 00:14:24,560 --> 00:14:27,800 Speaker 2: So about JD. Vance, we don't really know where the 261 00:14:27,880 --> 00:14:30,600 Speaker 2: Vice president stands here. He has not made any public 262 00:14:30,680 --> 00:14:34,720 Speaker 2: commentary on the podcast Wars. He often pretends not to 263 00:14:34,760 --> 00:14:37,560 Speaker 2: know what's going on, which I completely don't believe because 264 00:14:37,600 --> 00:14:41,520 Speaker 2: he is the most online like elected official in the country. 265 00:14:43,080 --> 00:14:45,880 Speaker 2: I would just say that there have been stories like 266 00:14:46,480 --> 00:14:49,640 Speaker 2: JD Vance wanted the US to go harder in Iran 267 00:14:49,680 --> 00:14:52,200 Speaker 2: and stuff like that. I feel like those are placed 268 00:14:52,240 --> 00:14:55,080 Speaker 2: to challenge this idea that JD's on the outside of 269 00:14:55,080 --> 00:14:57,920 Speaker 2: the Trump administration. I don't know if he is or 270 00:14:57,920 --> 00:15:01,240 Speaker 2: if he isn't. My own perspective is I hope he's not. 271 00:15:01,640 --> 00:15:05,680 Speaker 2: I hope he is actually a part of the decisions 272 00:15:05,720 --> 00:15:08,720 Speaker 2: being made. I hope he is in line with Donald 273 00:15:08,760 --> 00:15:11,600 Speaker 2: Trump because he is the president and Vadie's his vice 274 00:15:11,680 --> 00:15:14,320 Speaker 2: president and they should be aligned on stuff like this. 275 00:15:14,720 --> 00:15:17,840 Speaker 2: I hope this isn't an actual creator that people imagine 276 00:15:17,840 --> 00:15:20,600 Speaker 2: it to be. Having said that we have no idea. 277 00:15:21,120 --> 00:15:25,000 Speaker 1: Yeah, I think it's not an implausible or even hypocritical 278 00:15:25,040 --> 00:15:28,200 Speaker 1: at all position for him to have taken. That would be. Look, 279 00:15:28,600 --> 00:15:32,040 Speaker 1: I am less pro intervention than you are, sir, but 280 00:15:32,200 --> 00:15:35,040 Speaker 1: if we're going to do it, let's do it very 281 00:15:35,160 --> 00:15:38,440 Speaker 1: very fast and very very effectively. So I think that 282 00:15:39,040 --> 00:15:41,120 Speaker 1: arguing for that might not be a departure from his 283 00:15:42,120 --> 00:15:42,920 Speaker 1: belief system. 284 00:15:43,040 --> 00:15:45,200 Speaker 2: Yeah, but the only thing I would say about that is, 285 00:15:45,360 --> 00:15:47,360 Speaker 2: do we think that Trump is like, no, let's not 286 00:15:47,440 --> 00:15:49,520 Speaker 2: do it fast and do it hard? Like, I know 287 00:15:49,680 --> 00:15:52,200 Speaker 2: that story made no sense to me because of who 288 00:15:52,240 --> 00:15:55,640 Speaker 2: Donald Trump is. Like if Donald Trump was George W. Bush, 289 00:15:55,680 --> 00:15:59,760 Speaker 2: I'd be like, Okay, maybe I think of George softer, 290 00:16:00,160 --> 00:16:00,400 Speaker 2: you know. 291 00:16:00,800 --> 00:16:03,000 Speaker 1: But I'm always going to give the benefit of doubt 292 00:16:03,080 --> 00:16:05,880 Speaker 1: to war fighters who have been in war and for 293 00:16:05,920 --> 00:16:08,840 Speaker 1: that reason. But they're like, hey, hey, hey, last time 294 00:16:08,880 --> 00:16:11,600 Speaker 1: we did this, remember what happened? And I think that's 295 00:16:11,640 --> 00:16:15,120 Speaker 1: a that's a fair take for him to have. Yeah, 296 00:16:14,520 --> 00:16:17,680 Speaker 1: but yeah, it does. It's interesting to me that Trump 297 00:16:17,720 --> 00:16:23,040 Speaker 1: is just like, nah, not maga on this one. Guys. Yep. Good. 298 00:16:23,360 --> 00:16:25,600 Speaker 2: I hope he continues to speak out. I hope he. 299 00:16:26,440 --> 00:16:29,480 Speaker 2: The other thing is, you know, I mentioned the clip 300 00:16:29,520 --> 00:16:32,640 Speaker 2: that Tucker put out yesterday about you know, the people 301 00:16:33,120 --> 00:16:35,960 Speaker 2: in the administration who care more about Israel. I mean, 302 00:16:36,000 --> 00:16:38,000 Speaker 2: what he's really trying to say is Donald Trump cares 303 00:16:38,040 --> 00:16:39,920 Speaker 2: more about Israel, and I wish he would grow a 304 00:16:39,960 --> 00:16:42,080 Speaker 2: pair and just say it. Say what do you actually mean, 305 00:16:42,120 --> 00:16:44,120 Speaker 2: Tucker Carlson, Say what you actually mean? 306 00:16:44,760 --> 00:16:47,600 Speaker 1: Yeah, those invites might dry up unless they're useful to 307 00:16:47,640 --> 00:16:49,200 Speaker 1: them getting information to someone else. 308 00:16:50,240 --> 00:16:51,840 Speaker 2: Yep. Not sure. He's going to be on too many 309 00:16:51,880 --> 00:16:54,680 Speaker 2: real estate panels in Saudi Arabia getting paid. God knows 310 00:16:54,680 --> 00:16:56,960 Speaker 2: what if he doesn't have invites at the White House. 311 00:16:57,680 --> 00:16:59,480 Speaker 2: We're going to take a sharp break and be right 312 00:16:59,520 --> 00:17:06,480 Speaker 2: back with more on normally. We are back on normally 313 00:17:06,560 --> 00:17:09,920 Speaker 2: where the New York State Controller Thomas P. DiNapoli has 314 00:17:09,960 --> 00:17:13,360 Speaker 2: put out a report about New York City government services 315 00:17:13,640 --> 00:17:19,000 Speaker 2: for the quote unquote unsheltered that means homeless. He writes 316 00:17:19,080 --> 00:17:23,000 Speaker 2: that New York City's unsheltered population increased from thirty five 317 00:17:23,040 --> 00:17:25,640 Speaker 2: one hundred and eighty eight in fiscal year twenty nineteen 318 00:17:25,720 --> 00:17:28,760 Speaker 2: to forty five hundred oh four in fiscal year twenty 319 00:17:28,800 --> 00:17:33,400 Speaker 2: twenty five, a twenty six percent increase from pre pandemic levels, 320 00:17:33,680 --> 00:17:36,600 Speaker 2: and we're getting lots of results, right, Yeah, yeah, just 321 00:17:36,640 --> 00:17:39,359 Speaker 2: listen to all the results we're getting in that time. 322 00:17:39,560 --> 00:17:43,919 Speaker 2: Spending on services for the population has more than tripled, 323 00:17:44,160 --> 00:17:47,280 Speaker 2: growing from one hundred and two million in twenty nineteen 324 00:17:47,720 --> 00:17:50,400 Speaker 2: to nearly three hundred and sixty eight million in twenty 325 00:17:50,520 --> 00:17:55,640 Speaker 2: twenty five, a two hundred and sixty two percent increase. 326 00:17:56,119 --> 00:17:59,640 Speaker 2: It's absolutely bonkers, Like there's just how do you look 327 00:17:59,680 --> 00:18:03,280 Speaker 2: at these numbers and think that this is okay? And 328 00:18:03,320 --> 00:18:07,680 Speaker 2: the numbers come out to about eighty one thousand per 329 00:18:07,960 --> 00:18:11,680 Speaker 2: homeless person in fiscal year twenty twenty five, I mean 330 00:18:12,240 --> 00:18:16,280 Speaker 2: that is it's more than the Charles Smirklee on X 331 00:18:16,320 --> 00:18:19,040 Speaker 2: points out that's more than the median New York City 332 00:18:19,040 --> 00:18:22,639 Speaker 2: household income. Unbelievable, and they're still living in the street. 333 00:18:23,000 --> 00:18:25,240 Speaker 1: Smirkley also points out he's a data guy, and he 334 00:18:25,280 --> 00:18:28,480 Speaker 1: points out that New York's spending per homeless person is 335 00:18:28,520 --> 00:18:30,760 Speaker 1: up one hundred and eighty seven percent since twenty nineteen, 336 00:18:30,840 --> 00:18:34,280 Speaker 1: San Francisco up one hundred and ninety percent, Portland up 337 00:18:34,320 --> 00:18:38,560 Speaker 1: four hundred and thirty percent, LA plus four hundred and 338 00:18:38,600 --> 00:18:41,560 Speaker 1: eighty percent, an average of up three hundred and twenty 339 00:18:41,640 --> 00:18:44,439 Speaker 1: percent since twenty nineteen. And I have to say, like 340 00:18:44,680 --> 00:18:48,840 Speaker 1: I was wrong about NGOs there. There was a part 341 00:18:48,840 --> 00:18:51,600 Speaker 1: of me that was like, hey, handing some of these 342 00:18:51,760 --> 00:18:55,440 Speaker 1: tasks off to non governmental organizations might be. 343 00:18:55,400 --> 00:18:56,960 Speaker 2: A better way to serve You need a lot of 344 00:18:57,000 --> 00:18:58,600 Speaker 2: oversight to do it with the government. 345 00:18:58,760 --> 00:19:00,959 Speaker 1: Yeah, But it turns out it just kind of feels 346 00:19:01,000 --> 00:19:04,040 Speaker 1: like we're subsidizing all the bad things that the NGOs 347 00:19:04,040 --> 00:19:06,760 Speaker 1: are supposed to be helping with, and the NGO people 348 00:19:06,840 --> 00:19:09,640 Speaker 1: are getting rich or someone's getting rich in the laundering 349 00:19:09,680 --> 00:19:13,040 Speaker 1: process here, but it's certainly not helping the people that 350 00:19:13,080 --> 00:19:15,960 Speaker 1: the NGOs tell us that they are very compassionate about. 351 00:19:16,040 --> 00:19:18,200 Speaker 1: And I know there are people who do do really 352 00:19:18,240 --> 00:19:21,800 Speaker 1: good work, but man, this is depressing, right. 353 00:19:21,840 --> 00:19:24,000 Speaker 2: It just feels like what we've talked about on here, 354 00:19:24,040 --> 00:19:27,920 Speaker 2: scams everywhere, Like where is this money going? It makes 355 00:19:27,960 --> 00:19:31,239 Speaker 2: no sense that they're spending this much money and not 356 00:19:31,400 --> 00:19:34,119 Speaker 2: coming anywhere near solving the problem. In fact, the problem 357 00:19:34,280 --> 00:19:37,840 Speaker 2: keeps growing, it's getting worse. Smirk. Lee also says that 358 00:19:37,880 --> 00:19:41,440 Speaker 2: the city projects that the number per homeless person will 359 00:19:41,440 --> 00:19:44,840 Speaker 2: be ninety seven thousand in fiscal year twenty twenty six, 360 00:19:44,960 --> 00:19:48,280 Speaker 2: I mean one hundred k per homeless person for them 361 00:19:48,320 --> 00:19:50,720 Speaker 2: still not to have a home. What are we doing here? 362 00:19:50,840 --> 00:19:53,200 Speaker 1: Sorry for all of you paying taxes like, yeah, it's 363 00:19:53,240 --> 00:19:56,600 Speaker 1: crazy by the way, that numbers the floor. Yeah, because 364 00:19:56,640 --> 00:19:59,159 Speaker 1: it doesn't include a bunch of other spending done onmental, 365 00:19:59,240 --> 00:20:04,159 Speaker 1: car and housing resources that are spent as well. Speaking 366 00:20:04,200 --> 00:20:05,600 Speaker 1: of scams, you want to hear this one. This is 367 00:20:06,240 --> 00:20:11,119 Speaker 1: this is from gothamists. So not a celebri leaning publication here. 368 00:20:11,960 --> 00:20:14,600 Speaker 1: A month after the NYPD reported a one hundred and 369 00:20:14,640 --> 00:20:18,600 Speaker 1: fifty to two percent spike in reported bias crimes hate 370 00:20:18,600 --> 00:20:21,760 Speaker 1: crimes in the city, the department has changed its reporting 371 00:20:21,800 --> 00:20:24,639 Speaker 1: method to one that some hate crime experts say is 372 00:20:24,760 --> 00:20:29,040 Speaker 1: less transparent and less accurate. In January, the NYPD reported 373 00:20:29,080 --> 00:20:32,000 Speaker 1: fifty eight bias crimes across the city, up from twenty 374 00:20:32,040 --> 00:20:35,080 Speaker 1: three in January twenty twenty five, a jump the department 375 00:20:35,080 --> 00:20:37,720 Speaker 1: said was driven largely by wait for it, a spike 376 00:20:37,760 --> 00:20:40,920 Speaker 1: in reports of anti Jewish hate crimes. By the time 377 00:20:41,000 --> 00:20:43,600 Speaker 1: police reported the figures for February of this year, they 378 00:20:43,600 --> 00:20:47,680 Speaker 1: had changed their criteria for reporting hate crimes. Previously, the 379 00:20:47,720 --> 00:20:50,560 Speaker 1: department reported hate crimes that were being reviewed. Now it 380 00:20:50,640 --> 00:20:54,120 Speaker 1: only reports hate crimes that have been investigated and confirmed. 381 00:20:55,400 --> 00:20:57,680 Speaker 1: You could make an argument for that, but you can't 382 00:20:57,680 --> 00:21:00,760 Speaker 1: make an argument for changing it mid s, because what 383 00:21:00,840 --> 00:21:04,959 Speaker 1: happens now is that you cannot compare February of this 384 00:21:05,040 --> 00:21:08,399 Speaker 1: year in mom Donnie's term. They have to February of 385 00:21:08,480 --> 00:21:12,480 Speaker 1: last year in Adams's term. And several hate crimes experts 386 00:21:13,200 --> 00:21:16,440 Speaker 1: tell and academics tell the a Gothamist that actually, yes, 387 00:21:16,480 --> 00:21:18,960 Speaker 1: this doesn't really capture hate crimes if you're not doing 388 00:21:19,359 --> 00:21:22,960 Speaker 1: all reported crimes. So way to go, New York. 389 00:21:24,160 --> 00:21:26,480 Speaker 2: Yeah, good job. And I think that's the point, right. 390 00:21:26,480 --> 00:21:29,199 Speaker 2: They don't want the comparison because the comparison is not 391 00:21:29,240 --> 00:21:32,520 Speaker 2: going to be positive, and that's that's a real problem 392 00:21:32,600 --> 00:21:33,920 Speaker 2: where this is a problem. 393 00:21:34,040 --> 00:21:36,960 Speaker 1: Yeah, this is a problem in many areas of life, 394 00:21:37,000 --> 00:21:40,399 Speaker 1: particularly post pandemic. A bunch of schools were like, hey, 395 00:21:40,520 --> 00:21:43,280 Speaker 1: let's hide the ball about how badly we did by 396 00:21:43,359 --> 00:21:46,119 Speaker 1: changing the stat gathering so that you cannot compare apples 397 00:21:46,119 --> 00:21:48,000 Speaker 1: to apples, and it's really unhealthy. 398 00:21:48,200 --> 00:21:50,240 Speaker 2: Yeah, it does a lot of damage to people. We 399 00:21:50,280 --> 00:21:53,040 Speaker 2: can't solve problems that we can't admit we have my 400 00:21:53,680 --> 00:21:56,879 Speaker 2: all around mantra all the time. Ye yep, We're going 401 00:21:56,960 --> 00:21:59,000 Speaker 2: to take a short break and be right back with 402 00:21:59,080 --> 00:21:59,880 Speaker 2: Moron normally. 403 00:22:03,600 --> 00:22:05,600 Speaker 1: Oh right, coming back on normally was a little bit 404 00:22:05,640 --> 00:22:10,199 Speaker 1: of Oscars talk. Look, I don't watch Awards shows, but 405 00:22:10,280 --> 00:22:12,400 Speaker 1: what I do is go on the internet the next 406 00:22:12,480 --> 00:22:15,120 Speaker 1: day to learn what happened at the shows. So let 407 00:22:15,160 --> 00:22:18,800 Speaker 1: me tell you what happened at the Oscars one Battle 408 00:22:18,800 --> 00:22:22,720 Speaker 1: after another, which is that Leonardo DiCaprio vehicle that was 409 00:22:23,680 --> 00:22:29,200 Speaker 1: very lefty resistance fantasy played out that. 410 00:22:29,200 --> 00:22:32,199 Speaker 2: I didn't see it, But if you haven't read Leelle 411 00:22:32,240 --> 00:22:36,399 Speaker 2: Lebowitz's piece about the movie in Free Press, you absolutely should. 412 00:22:36,520 --> 00:22:39,960 Speaker 2: Leelle wrote a hilarious takedown of the movie and how 413 00:22:40,040 --> 00:22:40,720 Speaker 2: terrible it was. 414 00:22:41,240 --> 00:22:44,200 Speaker 1: Well and even so, it's a Thomas Anderson movie, who 415 00:22:44,240 --> 00:22:46,639 Speaker 1: is a good director, but I have heard it was 416 00:22:46,640 --> 00:22:48,680 Speaker 1: not one of his better films. But it did hit 417 00:22:48,680 --> 00:22:52,160 Speaker 1: all the sweet spots for Hollywood. It was named Best 418 00:22:52,160 --> 00:22:55,080 Speaker 1: Picture one Battle after another, and he was He got 419 00:22:55,240 --> 00:22:59,120 Speaker 1: Best Directing, Best Adapted Screenplay. It won six overall centers. 420 00:22:59,160 --> 00:23:04,080 Speaker 1: Starring Michael B. J got four Oscars. Capeop Demon Hunters 421 00:23:04,119 --> 00:23:07,960 Speaker 1: got Best Animation Film, Very deserved as well as Best 422 00:23:09,040 --> 00:23:11,320 Speaker 1: Best Song, and. 423 00:23:11,840 --> 00:23:15,600 Speaker 2: I've heard the song once or thousand times from my nieces. 424 00:23:15,960 --> 00:23:19,640 Speaker 1: Right. Frankenstein got a couple of wins. Uh, and then 425 00:23:19,760 --> 00:23:23,959 Speaker 1: Jesse Buckley was named Best Actress for Hamnett. Amy Madigan 426 00:23:24,000 --> 00:23:26,240 Speaker 1: won Best Supporting Actress for her role in Weapons One 427 00:23:26,240 --> 00:23:27,240 Speaker 1: that I actually have seen. 428 00:23:28,040 --> 00:23:29,919 Speaker 2: Have you seen any of the I've seen zero. I 429 00:23:29,920 --> 00:23:31,160 Speaker 2: haven't even heard of most of these. 430 00:23:31,520 --> 00:23:32,879 Speaker 1: I've seen Demon Hunters. 431 00:23:33,040 --> 00:23:35,439 Speaker 2: It might be because I'm old, it really it might be, 432 00:23:35,520 --> 00:23:37,920 Speaker 2: but it also might be because I think Hollywood movies 433 00:23:37,960 --> 00:23:40,399 Speaker 2: have just gotten worse and worse, and I can't watch them. 434 00:23:40,440 --> 00:23:43,119 Speaker 2: I can't sit through them. They're terrible. I watch old movies. 435 00:23:43,160 --> 00:23:45,400 Speaker 2: I am old. That's it. 436 00:23:45,400 --> 00:23:48,680 Speaker 1: It's okay, we can be old. Conan O'Brien hosted again. 437 00:23:48,840 --> 00:23:51,840 Speaker 1: They did tributes to Rob Bryner, Robert Redford, Diane Keaton, 438 00:23:51,960 --> 00:23:56,920 Speaker 1: Captain O'Hara. I think I heard that that Robert Duvall 439 00:23:57,040 --> 00:24:00,760 Speaker 1: was sort of given short shift in the memoriam, and 440 00:24:00,760 --> 00:24:02,680 Speaker 1: that's not cool. He's like one of the greatest actors 441 00:24:02,880 --> 00:24:05,840 Speaker 1: of the twentieth century. Okay, two clips I want to 442 00:24:05,840 --> 00:24:07,200 Speaker 1: play for you so you can get an idea of 443 00:24:07,320 --> 00:24:10,600 Speaker 1: the good and the bad. Here is the k pop 444 00:24:10,640 --> 00:24:16,399 Speaker 1: demon Hunter's creator telling us that she's the first Asian 445 00:24:16,440 --> 00:24:19,000 Speaker 1: person to ever win an oscar or something. Here she goes, 446 00:24:19,880 --> 00:24:20,280 Speaker 1: and for. 447 00:24:20,200 --> 00:24:23,040 Speaker 4: Those of you who look like me, I'm so sorry 448 00:24:23,160 --> 00:24:24,720 Speaker 4: that it took us so long. 449 00:24:24,560 --> 00:24:27,760 Speaker 1: To see us in a movie like this, but it 450 00:24:27,840 --> 00:24:30,680 Speaker 1: is here, and. 451 00:24:30,600 --> 00:24:33,360 Speaker 2: That means that the next generations don't have to go alonging. 452 00:24:33,840 --> 00:24:38,639 Speaker 2: This is for Korea and for Koreans everywhere. Poly math 453 00:24:39,040 --> 00:24:43,560 Speaker 2: political math on X did a chart where he wanted 454 00:24:43,560 --> 00:24:47,119 Speaker 2: to look at every protagonist in every Best Animated film 455 00:24:47,200 --> 00:24:50,000 Speaker 2: since the award was created in two thousand and one. 456 00:24:50,560 --> 00:24:53,600 Speaker 2: What he found was eleven of the protagonists were non human, 457 00:24:54,240 --> 00:24:58,399 Speaker 2: five were Asian, and five were white. So fe like 458 00:24:58,480 --> 00:25:00,280 Speaker 2: there are some protagonists who are also. 459 00:25:00,680 --> 00:25:03,000 Speaker 1: John put Hortz noted that just a couple of years ago, 460 00:25:03,000 --> 00:25:08,280 Speaker 1: and I believe that was a Korean film, Parasite won everything. Yeah, 461 00:25:08,320 --> 00:25:11,520 Speaker 1: this isn't this isn't exactly rare. One of the sad 462 00:25:11,560 --> 00:25:13,800 Speaker 1: things about being a progressive is that once you have 463 00:25:13,880 --> 00:25:16,800 Speaker 1: the MIC and you have your shining moment before the world, 464 00:25:16,840 --> 00:25:19,240 Speaker 1: you have to declare that all progress before you never 465 00:25:19,359 --> 00:25:23,840 Speaker 1: existly because it's important to preserve the fiction that we've 466 00:25:23,920 --> 00:25:28,280 Speaker 1: never done anything for any other minority population ever. And 467 00:25:28,320 --> 00:25:30,840 Speaker 1: I just I think that, like, by next year, is 468 00:25:30,880 --> 00:25:33,160 Speaker 1: the K pop demon Hunters win going to be gone 469 00:25:33,200 --> 00:25:35,600 Speaker 1: from everybody's brain and we'll just pretend that we're starting 470 00:25:35,640 --> 00:25:38,679 Speaker 1: at zero again, because I don't think we are. On 471 00:25:38,720 --> 00:25:41,840 Speaker 1: the other hand, we have Jesse Buckley, the best actress 472 00:25:41,880 --> 00:25:45,159 Speaker 1: for Hamnet, and here's her lovely acceptance speech. 473 00:25:46,119 --> 00:25:51,560 Speaker 4: You Fred, I love you, man, I love you. You're 474 00:25:51,560 --> 00:25:54,080 Speaker 4: the most incredible dad. You're my best friend. And I 475 00:25:54,080 --> 00:25:56,120 Speaker 4: want to have twenty thousand more babies with you. 476 00:25:56,200 --> 00:25:57,560 Speaker 1: I do, I do. 477 00:25:59,240 --> 00:26:02,119 Speaker 4: And Ala my little girl who is eight months, who 478 00:26:02,119 --> 00:26:04,719 Speaker 4: has absolutely no idea what's going on, and it's probably 479 00:26:04,840 --> 00:26:08,240 Speaker 4: dreaming of milk. But this is kind of a big deal. 480 00:26:08,720 --> 00:26:10,320 Speaker 2: And I love you and I love being. 481 00:26:10,200 --> 00:26:12,639 Speaker 4: Your mom, and I can't wait to discover life beside you, 482 00:26:13,520 --> 00:26:22,199 Speaker 4: Chloe and Maggie. You, to get to know this incandescent 483 00:26:22,359 --> 00:26:28,320 Speaker 4: woman and journey to understand the capacity of a mother's 484 00:26:28,400 --> 00:26:35,199 Speaker 4: love is the greatest collision of my life. It's Mother's 485 00:26:35,280 --> 00:26:42,600 Speaker 4: Day in the UK today, so I would like to 486 00:26:42,640 --> 00:26:47,240 Speaker 4: dedicate this to the beautiful chaos of a mother's heart. 487 00:26:49,000 --> 00:26:51,320 Speaker 1: It's really nice. I feel like we are having a 488 00:26:51,359 --> 00:26:54,919 Speaker 1: bit of a trend toward acceptance species by very famous 489 00:26:54,960 --> 00:26:58,920 Speaker 1: people that include appreciation for their children and their families. 490 00:26:59,000 --> 00:27:01,239 Speaker 1: Kuren Culkin is no notable because he kept telling his 491 00:27:01,280 --> 00:27:04,320 Speaker 1: wife if I win another one can have another baby, 492 00:27:04,800 --> 00:27:07,480 Speaker 1: having more babies because he keeps sweating awards and now 493 00:27:07,520 --> 00:27:11,480 Speaker 1: this lovely sentiment. By the way, I think anyone who's 494 00:27:11,560 --> 00:27:14,000 Speaker 1: afraid of motherhood can look to this woman who is 495 00:27:14,040 --> 00:27:17,160 Speaker 1: at the absolute pinnacle of her career and has an 496 00:27:17,240 --> 00:27:20,960 Speaker 1: eight month old baby that it does not have to 497 00:27:21,480 --> 00:27:25,320 Speaker 1: shackle you. It does not have to be a trap, 498 00:27:25,720 --> 00:27:28,879 Speaker 1: and it stands in beautiful contrast to who is it 499 00:27:28,960 --> 00:27:31,679 Speaker 1: Michelle Williams that gave that speech once saying that the 500 00:27:31,720 --> 00:27:34,120 Speaker 1: reason she was standing before you is because she had 501 00:27:34,119 --> 00:27:39,480 Speaker 1: an abortion right. Yeah, like, nah, I'm not here for that. Yeah, 502 00:27:40,560 --> 00:27:42,480 Speaker 1: Michael B. Jordan, who I do like very much. One 503 00:27:42,520 --> 00:27:47,960 Speaker 1: best actor I believe for Sinners and best supporting actor 504 00:27:48,119 --> 00:27:49,840 Speaker 1: was Sean Penn, who has too many Why is he 505 00:27:49,840 --> 00:27:50,280 Speaker 1: still winning? 506 00:27:52,920 --> 00:27:55,720 Speaker 2: Yeah? I think families are back in Disney had apparently 507 00:27:55,960 --> 00:27:59,960 Speaker 2: a very popular ad during the Word Show where It's 508 00:28:00,280 --> 00:28:02,959 Speaker 2: which showed a father and son bonding over the years 509 00:28:03,040 --> 00:28:05,080 Speaker 2: on a Disney cruise. It was a very good ad 510 00:28:05,119 --> 00:28:08,960 Speaker 2: Mary Catherine, Yeah, said another news. There was some politics 511 00:28:09,000 --> 00:28:12,920 Speaker 2: at the show, of course, somebody called for a ceasefire 512 00:28:12,960 --> 00:28:16,440 Speaker 2: and Gaza. I hope that lady gets her news updated soon. 513 00:28:17,480 --> 00:28:20,719 Speaker 2: But of course very little was said if I had 514 00:28:20,800 --> 00:28:24,920 Speaker 2: anything at all about the Iranians who are either trapped 515 00:28:24,960 --> 00:28:28,640 Speaker 2: in Iran as this plays out with the administration killing 516 00:28:28,760 --> 00:28:33,919 Speaker 2: and maiming people who oppose them, or the Iranian women's 517 00:28:33,920 --> 00:28:38,160 Speaker 2: soccer team who have requested asylum in Australia but now 518 00:28:38,200 --> 00:28:42,880 Speaker 2: their families are being kidnapped back in Iran and nobody's 519 00:28:42,880 --> 00:28:44,920 Speaker 2: speaking out for them. Nobody's wearing a pin. 520 00:28:45,240 --> 00:28:47,320 Speaker 1: You can really take a stand for them if you 521 00:28:47,600 --> 00:28:49,600 Speaker 1: wanted to, so they don't have to go back to 522 00:28:49,640 --> 00:28:52,000 Speaker 1: Handmaid's Tale. But we're not saying anything about that. 523 00:28:52,520 --> 00:28:56,440 Speaker 2: Much easier to wear a Palestinian flag pin or something 524 00:28:56,520 --> 00:29:01,200 Speaker 2: and call for a ceasefire that happened months ago. What 525 00:29:01,240 --> 00:29:03,520 Speaker 2: are you gonna do, Hollywood, gonna Hollywood. 526 00:29:04,400 --> 00:29:06,680 Speaker 1: There's a couple bright spots there, so good join. 527 00:29:06,680 --> 00:29:08,280 Speaker 2: No, you're optimistic, I hear you. 528 00:29:09,200 --> 00:29:10,920 Speaker 1: Hey, you know we're trying to turn a big ship 529 00:29:11,280 --> 00:29:15,040 Speaker 1: really sized cult problem a Disney. 530 00:29:14,720 --> 00:29:18,080 Speaker 2: Size cruise ship. Thank you for joining us on normally 531 00:29:18,160 --> 00:29:21,280 Speaker 2: normally airs Tuesdays and Thursdays, and you can subscribe anywhere 532 00:29:21,320 --> 00:29:23,440 Speaker 2: you get your podcasts. Get in touch with us that 533 00:29:23,600 --> 00:29:26,880 Speaker 2: normallypot at gmail dot com. Thanks for listening, and when 534 00:29:26,880 --> 00:29:28,840 Speaker 2: things get weird, you stay normally