1 00:00:00,120 --> 00:00:03,000 Speaker 1: Hey, guys, ready or not, twenty twenty four is here 2 00:00:03,200 --> 00:00:05,640 Speaker 1: and we here at breaking points, are already thinking of 3 00:00:05,720 --> 00:00:07,920 Speaker 1: ways we can up our game for this critical election. 4 00:00:08,119 --> 00:00:11,039 Speaker 2: We rely on our premium subs to expand coverage, upgrade 5 00:00:11,080 --> 00:00:12,720 Speaker 2: the studio ad staff give. 6 00:00:12,600 --> 00:00:15,560 Speaker 3: You, guys, the best independent coverage that is possible. 7 00:00:15,600 --> 00:00:17,599 Speaker 2: If you like what we're all about, it just means 8 00:00:17,640 --> 00:00:19,400 Speaker 2: the absolute world to have your support. 9 00:00:19,480 --> 00:00:25,320 Speaker 3: But enough with that, let's get to the show. Good morning, everybody, 10 00:00:25,320 --> 00:00:27,680 Speaker 3: Happy Thursday. We have an amazing show for everybody today. 11 00:00:27,680 --> 00:00:28,360 Speaker 3: When do we have crystal? 12 00:00:28,560 --> 00:00:31,720 Speaker 1: Indeed, we do more chaos in Lebanon. This time we 13 00:00:31,800 --> 00:00:36,239 Speaker 1: had exploding walkie talkies with more deaths and injuries, so 14 00:00:36,280 --> 00:00:38,360 Speaker 1: we'll break down that. We also have some more information 15 00:00:38,520 --> 00:00:40,920 Speaker 1: on how the hell this happened. How Israel was able 16 00:00:40,920 --> 00:00:44,240 Speaker 1: to penetrate the supply chain and get these exploding devices 17 00:00:44,280 --> 00:00:46,440 Speaker 1: in the hands of Tedula operatives. 18 00:00:46,479 --> 00:00:47,400 Speaker 4: It is a crazy story. 19 00:00:47,400 --> 00:00:49,080 Speaker 1: So we'll track all of that and of course what 20 00:00:49,120 --> 00:00:53,600 Speaker 1: it means for us and for a broader Middle East war. Big, 21 00:00:53,720 --> 00:00:57,000 Speaker 1: big economic news. This is something that has been much anticipated. 22 00:00:57,360 --> 00:01:02,000 Speaker 1: The FED significantly cutting rates yesterday. Obviously that is meant 23 00:01:02,000 --> 00:01:04,880 Speaker 1: to have an important economic impact also may have an 24 00:01:04,880 --> 00:01:07,520 Speaker 1: important political impact Trump is reacting to that. We also 25 00:01:07,560 --> 00:01:10,200 Speaker 1: have some more details about the direction Trump is going 26 00:01:10,240 --> 00:01:13,199 Speaker 1: in with his economic plans or concepts of a plan, 27 00:01:13,240 --> 00:01:15,240 Speaker 1: I guess, so I'll break that down for you as well. 28 00:01:16,000 --> 00:01:20,600 Speaker 1: Teamsters Union decided not to endorse at all in this 29 00:01:20,760 --> 00:01:24,280 Speaker 1: presidential race. You know, Republicans are excited about this, and 30 00:01:24,360 --> 00:01:26,880 Speaker 1: it's not endorsement of them, at least Teamsters in their view, 31 00:01:26,959 --> 00:01:29,960 Speaker 1: or not endorsing Kamalin. We got some also interesting numbers 32 00:01:30,319 --> 00:01:33,280 Speaker 1: from the head of the Teamsters about which direction their 33 00:01:33,360 --> 00:01:34,479 Speaker 1: members are going in. 34 00:01:35,080 --> 00:01:37,520 Speaker 4: The Diddy indictment has been revealed. 35 00:01:37,600 --> 00:01:40,040 Speaker 1: We now know some of the details of exactly what 36 00:01:40,080 --> 00:01:43,039 Speaker 1: the charges are and what the federal authorities are alleging, 37 00:01:43,120 --> 00:01:46,240 Speaker 1: and frankly, it is all quite horrifying. So show you 38 00:01:46,280 --> 00:01:48,840 Speaker 1: that some of the things that also they seized from 39 00:01:48,840 --> 00:01:52,640 Speaker 1: his properties and excited for a few guests. This morning, 40 00:01:52,640 --> 00:01:55,760 Speaker 1: we've got a panel that's going to debate the pro 41 00:01:55,880 --> 00:01:59,200 Speaker 1: life tactics coming from the Trump campaign. So these are 42 00:01:59,200 --> 00:02:01,120 Speaker 1: both you know, soccer I kind of had this debate before, 43 00:02:01,200 --> 00:02:03,480 Speaker 1: but we're like, we're both pro choice, so we. 44 00:02:03,400 --> 00:02:04,680 Speaker 4: Don't really have a dog in this fight. 45 00:02:04,760 --> 00:02:06,520 Speaker 1: Here, So we decided let's get two people are pro 46 00:02:06,600 --> 00:02:09,359 Speaker 1: life on to talk through this issue of whether or 47 00:02:09,360 --> 00:02:12,120 Speaker 1: not Trump should be moderating on the issue or whether 48 00:02:12,160 --> 00:02:14,640 Speaker 1: it's you know, a moral red line. So Leila Rose 49 00:02:14,720 --> 00:02:16,360 Speaker 1: is going to be one of those. Chamberlain's the other one. 50 00:02:16,400 --> 00:02:18,480 Speaker 1: So that should be really good. And we have a 51 00:02:18,520 --> 00:02:21,920 Speaker 1: reporter from New York to explain what the hell is 52 00:02:21,960 --> 00:02:25,960 Speaker 1: going on in the Eric Adams administration because some fifteen 53 00:02:26,160 --> 00:02:30,359 Speaker 1: members of his inner circle are now under some sort 54 00:02:30,440 --> 00:02:33,560 Speaker 1: of federal investigation. Some people are saying this is like 55 00:02:33,600 --> 00:02:37,680 Speaker 1: the worst corruption and the most you know, insanity, since basically, 56 00:02:37,720 --> 00:02:40,920 Speaker 1: like Tammany Hall is a wild situation unfolding, New. 57 00:02:40,880 --> 00:02:44,480 Speaker 3: York is fully back Eric Adams, New York City. 58 00:02:44,320 --> 00:02:49,080 Speaker 2: Is the deeply corrupt mayor to infuse life into the city. 59 00:02:49,200 --> 00:02:50,960 Speaker 1: Well, the thing I la, I mean he has some 60 00:02:51,360 --> 00:02:53,880 Speaker 1: he has created some legendary content, That's. 61 00:02:53,760 --> 00:02:55,760 Speaker 3: What I mean. I mean, you can't help but love this. 62 00:02:55,960 --> 00:02:59,680 Speaker 2: It's like we've got corruption, We've got this like blathering idiot, 63 00:03:00,040 --> 00:03:03,120 Speaker 2: perhaps savant at times, just being like New York is. 64 00:03:03,080 --> 00:03:08,280 Speaker 3: The Paris or New York. He said, you never. 65 00:03:08,120 --> 00:03:09,679 Speaker 2: Know what can happen in New York He's like, you 66 00:03:09,720 --> 00:03:11,960 Speaker 2: could getting a bagel and the other day, you know, the. 67 00:03:11,919 --> 00:03:14,040 Speaker 3: Twin Towers could go down. That's a real thing that 68 00:03:14,080 --> 00:03:16,680 Speaker 3: he actually said. Yeah, Yeah, New York is fully back. 69 00:03:16,760 --> 00:03:17,239 Speaker 3: We're back. 70 00:03:17,560 --> 00:03:20,000 Speaker 1: I have way too much of the video that he 71 00:03:20,040 --> 00:03:22,800 Speaker 1: did about like searching your child's bedroom. I have like 72 00:03:22,880 --> 00:03:25,440 Speaker 1: way too much of that memorize, including him calling a 73 00:03:25,480 --> 00:03:29,600 Speaker 1: backpack a quote popular knap sense right with many different pockets. 74 00:03:29,840 --> 00:03:32,080 Speaker 3: Yeah, the vegan who's not really vegan. I could go 75 00:03:32,120 --> 00:03:33,560 Speaker 3: on forever. Yeah, there's too much. 76 00:03:33,639 --> 00:03:35,320 Speaker 4: So anyway, a lot going on there. 77 00:03:35,360 --> 00:03:38,200 Speaker 1: We also are going to get to this horrifying situation 78 00:03:38,240 --> 00:03:41,360 Speaker 1: with the NYPD where they chased down someone who jumped 79 00:03:41,360 --> 00:03:45,200 Speaker 1: a two dollars and ninety cents fare and ended in 80 00:03:45,280 --> 00:03:49,480 Speaker 1: a bloody scene. A police officer was hit with friendly fire, 81 00:03:49,600 --> 00:03:54,280 Speaker 1: the far evader himself was killed the passerbys. It's insane situation. 82 00:03:54,760 --> 00:03:56,840 Speaker 1: So lots to talk about from New York City. So 83 00:03:56,840 --> 00:03:57,520 Speaker 1: we'll get it into. 84 00:03:57,480 --> 00:03:59,400 Speaker 3: All of that before we get to that. Thank you 85 00:03:59,440 --> 00:04:00,960 Speaker 3: to all of our subscribers. 86 00:04:01,000 --> 00:04:03,880 Speaker 2: As a reminder, you do get the show early on 87 00:04:04,000 --> 00:04:06,560 Speaker 2: locals and in your inbox for our premium subscribers, So 88 00:04:06,680 --> 00:04:09,720 Speaker 2: yesterday for example, Counterpoints had a good debate with Matt 89 00:04:09,760 --> 00:04:12,600 Speaker 2: Walsh over at The Daily Wire, and our premium subscribers 90 00:04:12,840 --> 00:04:15,240 Speaker 2: got that early and quite a few have appreciated that, 91 00:04:15,280 --> 00:04:17,279 Speaker 2: and it's gone quite viral now since. 92 00:04:17,320 --> 00:04:18,799 Speaker 3: Yeah, it's been really really interesting. 93 00:04:18,839 --> 00:04:20,600 Speaker 2: So that's the way you can support not only our work, 94 00:04:20,640 --> 00:04:23,359 Speaker 2: but you get the show a full hour early in 95 00:04:23,640 --> 00:04:27,320 Speaker 2: your inbox, the full show and also available RSS feed 96 00:04:27,360 --> 00:04:29,880 Speaker 2: on locals, etc. So subscribe if you want to be 97 00:04:29,880 --> 00:04:32,400 Speaker 2: able to take advantage of that. Breakingpoints dot Com. Let's 98 00:04:32,400 --> 00:04:35,400 Speaker 2: get the Hasbola though, because this story has really captured 99 00:04:35,440 --> 00:04:40,359 Speaker 2: the popular imagination outside of the geopolitical context. It's literally 100 00:04:40,400 --> 00:04:43,000 Speaker 2: like out of a Born movie. Not of the details, 101 00:04:43,360 --> 00:04:45,719 Speaker 2: the decision to do this. I mean there's literally like 102 00:04:45,760 --> 00:04:51,200 Speaker 2: a major death toll geopolitical consequences from the United States, Israeli, Lebanon, 103 00:04:51,520 --> 00:04:53,920 Speaker 2: a potential broader war. So we have some video that 104 00:04:53,960 --> 00:04:56,520 Speaker 2: we can share people, but I mean, this is crazy stuff. 105 00:04:56,600 --> 00:04:58,960 Speaker 1: Yeah, so let's go ahead and put these new scenes 106 00:04:58,960 --> 00:05:04,560 Speaker 1: of chaos. On Tuesday, Counterpoints covered that HESBELA pagers and 107 00:05:04,600 --> 00:05:08,640 Speaker 1: some other devices that were not owned by HESBLA exploded 108 00:05:09,040 --> 00:05:12,119 Speaker 1: with creating mass chaos. I mean, you're talking about people 109 00:05:12,120 --> 00:05:14,680 Speaker 1: who were at the market. Here you can see these 110 00:05:14,680 --> 00:05:18,000 Speaker 1: are new images walkie talkies that exploded, and even things 111 00:05:18,040 --> 00:05:20,960 Speaker 1: like this is a keypad entryway to get into a 112 00:05:21,000 --> 00:05:23,839 Speaker 1: building that exploded. This is a picture of one of 113 00:05:23,880 --> 00:05:26,960 Speaker 1: the devices, presumably after you know, it was blown. 114 00:05:26,640 --> 00:05:29,920 Speaker 4: Apart, and it was sheer terror. 115 00:05:30,120 --> 00:05:32,920 Speaker 1: You know, you had people who were in markets going 116 00:05:32,960 --> 00:05:36,719 Speaker 1: about their business and then suddenly somewhere an explosion happens. 117 00:05:36,720 --> 00:05:40,080 Speaker 1: People are panicking, You had innocent bystanders, you had children 118 00:05:40,080 --> 00:05:44,599 Speaker 1: who were killed. So you know, some factors, some factions 119 00:05:44,640 --> 00:05:47,120 Speaker 1: are calling this, you know, this highly targeted attack, but 120 00:05:47,320 --> 00:05:50,200 Speaker 1: in fact it's the polar opposite of that. You know, 121 00:05:50,240 --> 00:05:52,160 Speaker 1: you had people who were at home with their families, 122 00:05:52,240 --> 00:05:55,360 Speaker 1: down on their motorbikes, like I said, in a market 123 00:05:55,720 --> 00:05:58,359 Speaker 1: when these things blew up, and whoever happened to be 124 00:05:58,440 --> 00:06:01,560 Speaker 1: around was hit and was injured. So you now have 125 00:06:02,200 --> 00:06:06,680 Speaker 1: thousands of injuries. You have somewhere around a dozen deaths, 126 00:06:06,720 --> 00:06:09,760 Speaker 1: four of them children, by the way. So like I said, 127 00:06:09,960 --> 00:06:11,680 Speaker 1: I don't think there's any way to describe it other 128 00:06:11,720 --> 00:06:14,279 Speaker 1: than terror. It was quite clear Israel hasn't officially taken 129 00:06:14,440 --> 00:06:17,400 Speaker 1: credit for it, but quite clear that it was Israel 130 00:06:17,800 --> 00:06:20,720 Speaker 1: behind these attacks, and we can also show you some 131 00:06:20,760 --> 00:06:22,960 Speaker 1: of the evidence of how this all went down and 132 00:06:22,960 --> 00:06:25,359 Speaker 1: how they were able to penetrate the supply chain in 133 00:06:25,480 --> 00:06:26,080 Speaker 1: this manner. 134 00:06:26,720 --> 00:06:28,480 Speaker 4: But in addition, you know, here's. 135 00:06:28,279 --> 00:06:31,880 Speaker 1: Bibi Netanya, who thinking he's really cool and uh, positioning 136 00:06:31,960 --> 00:06:33,400 Speaker 1: himself as a new James Bond. 137 00:06:33,480 --> 00:06:37,000 Speaker 3: Let's take a listen, deniel I so much James Boone, 138 00:06:38,120 --> 00:06:38,760 Speaker 3: James Boone. 139 00:06:44,040 --> 00:06:46,640 Speaker 1: So let's go ahead and put up the Wall Street 140 00:06:46,680 --> 00:06:48,719 Speaker 1: Journal article that we have here that has some of 141 00:06:48,760 --> 00:06:52,640 Speaker 1: the new details. Again, we had attacks on subsequent days. 142 00:06:52,760 --> 00:06:57,000 Speaker 1: Tuesday was the pagers. Wednesdays was buying large walkie talkies. 143 00:06:57,279 --> 00:07:00,520 Speaker 1: The headline here is Hez blowwakie talkies blow up across Lebanon. 144 00:07:00,600 --> 00:07:04,039 Speaker 1: In second wave of attacks, those walkie talkies used by 145 00:07:04,040 --> 00:07:06,159 Speaker 1: the group, they said, blew up in homes, cars, and 146 00:07:06,200 --> 00:07:08,839 Speaker 1: in operative's hands across the country. People familiar with the 147 00:07:08,880 --> 00:07:12,200 Speaker 1: matter said, just a day after thousands of pagers carried 148 00:07:12,200 --> 00:07:15,000 Speaker 1: by HESBELA members exploded at roughly the same time, the 149 00:07:15,080 --> 00:07:18,040 Speaker 1: new attack killed twenty people injured more than four hundred 150 00:07:18,040 --> 00:07:20,960 Speaker 1: and fifty after Tuesday's bombies killed twelve and injured more 151 00:07:21,000 --> 00:07:24,480 Speaker 1: than twenty eight hundred people. That's according to Lebanon's government, 152 00:07:24,520 --> 00:07:28,600 Speaker 1: which blamed Israel, which is reasonable. There was a quote 153 00:07:28,640 --> 00:07:33,720 Speaker 1: here from Yoav Gallant in terms of the broader geopolitical implications, 154 00:07:33,760 --> 00:07:36,920 Speaker 1: because we've been covering here, in fact Monday morning when 155 00:07:37,360 --> 00:07:39,760 Speaker 1: this I guess Tuesday morning, when this was all unfolding 156 00:07:39,960 --> 00:07:42,000 Speaker 1: and we were getting the initial images, we were covering 157 00:07:42,000 --> 00:07:44,160 Speaker 1: the fact that bb Night now who very much wants 158 00:07:44,200 --> 00:07:47,640 Speaker 1: to expand the official war into Lebanon. Now, there's already 159 00:07:47,680 --> 00:07:50,520 Speaker 1: been tit for tat exchanges between Hesblah and Israel. 160 00:07:50,600 --> 00:07:51,400 Speaker 4: That's not new. 161 00:07:51,680 --> 00:07:54,520 Speaker 1: What he's talking about is a much more significant escalation, 162 00:07:54,640 --> 00:07:56,239 Speaker 1: something that theoretically, at least. 163 00:07:56,080 --> 00:07:57,800 Speaker 4: The US opposes. 164 00:07:58,360 --> 00:08:01,640 Speaker 1: Yoav Galant, the Israel defense minister, who's kind of on 165 00:08:01,680 --> 00:08:04,320 Speaker 1: the ounce in the net Yahoo administration because he was 166 00:08:04,400 --> 00:08:06,760 Speaker 1: war in favor of securing some sort of a ceasefire 167 00:08:06,760 --> 00:08:09,440 Speaker 1: hostage deal. But he told the Wall Street Journal the 168 00:08:09,480 --> 00:08:12,080 Speaker 1: center of gravity is shifting to the north. This means 169 00:08:12,120 --> 00:08:15,520 Speaker 1: that we are moving forces, resources and energy to the north. 170 00:08:15,840 --> 00:08:18,720 Speaker 1: I estimate that we are at the start of a 171 00:08:18,840 --> 00:08:24,000 Speaker 1: new phase in this war. So any hope of you know, 172 00:08:24,400 --> 00:08:26,360 Speaker 1: I mean, one thing that would end the hes Bulah 173 00:08:26,360 --> 00:08:28,680 Speaker 1: attacks right away. Is if you had some sort of 174 00:08:28,680 --> 00:08:32,040 Speaker 1: a lasting ceasefire deal in exchange of hostages. I think 175 00:08:32,080 --> 00:08:35,439 Speaker 1: any hope of that is off the table as long 176 00:08:35,480 --> 00:08:37,360 Speaker 1: as you know, it's very clear the US doesn't want 177 00:08:37,360 --> 00:08:39,600 Speaker 1: to use their leverage to force any sort of result 178 00:08:39,880 --> 00:08:42,439 Speaker 1: on the Israelis. It's very clear bb nat Yah who 179 00:08:42,440 --> 00:08:45,040 Speaker 1: wants to not only continue the assault that he has 180 00:08:45,240 --> 00:08:48,720 Speaker 1: already you know, already been taking in, but he wants 181 00:08:48,760 --> 00:08:53,000 Speaker 1: to expand into this new war as well. And you know, 182 00:08:53,240 --> 00:08:55,200 Speaker 1: no end insight basically sober. 183 00:08:55,320 --> 00:08:58,240 Speaker 2: It's super it's very There's so much to say, not 184 00:08:58,280 --> 00:09:00,920 Speaker 2: only about the covert details the attack itself. We'll get 185 00:09:00,960 --> 00:09:03,200 Speaker 2: to that in terms of how it exactly folded out, 186 00:09:03,240 --> 00:09:05,880 Speaker 2: showing how sophisticated is really intelligence is. But there's also 187 00:09:05,880 --> 00:09:08,440 Speaker 2: a big why question, like why now, there's a couple 188 00:09:08,480 --> 00:09:10,640 Speaker 2: of different stories out there. One is that this could 189 00:09:10,720 --> 00:09:13,800 Speaker 2: be the precursor to some sort of larger attack. Too 190 00:09:14,040 --> 00:09:16,080 Speaker 2: is that it actually means a larger attack's not going 191 00:09:16,120 --> 00:09:18,800 Speaker 2: to happen. There was a third explanation I saw floated 192 00:09:18,800 --> 00:09:21,800 Speaker 2: that Hesbola had actually realized that there was something wrong 193 00:09:21,840 --> 00:09:24,679 Speaker 2: with their pagers and that once they got intelligence that 194 00:09:24,760 --> 00:09:28,440 Speaker 2: they might lose their ability to detonate these, They're like, well, 195 00:09:28,480 --> 00:09:30,520 Speaker 2: we might as well just do it right now whenever 196 00:09:30,559 --> 00:09:33,480 Speaker 2: we have the ability. So all of those seem actually 197 00:09:33,600 --> 00:09:36,719 Speaker 2: quite plausible. I'm not really sure I did read that. 198 00:09:36,800 --> 00:09:39,640 Speaker 2: In Israel, there is a lot of mounting pressure on 199 00:09:40,000 --> 00:09:43,800 Speaker 2: Yahoo to actually either sign a cease fire deal or 200 00:09:44,360 --> 00:09:47,600 Speaker 2: enable some ability for those tens of thousands of people 201 00:09:47,760 --> 00:09:50,640 Speaker 2: in the north of Israel sharing a border with Lebanon 202 00:09:50,920 --> 00:09:53,480 Speaker 2: to be able to return home. That actually could be 203 00:09:53,559 --> 00:09:56,160 Speaker 2: a part of the impetus as well, to try and 204 00:09:56,200 --> 00:09:58,720 Speaker 2: satisfy the domestic and people are pissed. They haven't been 205 00:09:58,760 --> 00:10:00,880 Speaker 2: able to live home in over a year, so that's 206 00:10:01,080 --> 00:10:02,959 Speaker 2: that could be part of it. But yeah, I mean 207 00:10:03,440 --> 00:10:07,800 Speaker 2: when you pair that with the calculus, it's extraordinarily brazen, right. 208 00:10:07,840 --> 00:10:09,800 Speaker 2: I mean, you have what over a thousand of them 209 00:10:10,040 --> 00:10:14,319 Speaker 2: seem to have exploded. Multiple people were killed, multiple bystanders 210 00:10:14,360 --> 00:10:16,400 Speaker 2: were I mean the videos that we showed and they 211 00:10:16,440 --> 00:10:20,400 Speaker 2: showed previously yesterday at literal grocery stores and everywhere. They 212 00:10:20,520 --> 00:10:23,880 Speaker 2: basically didn't really care about any potential collateral damage, and 213 00:10:23,920 --> 00:10:26,280 Speaker 2: they sent that page immediately. I mean, it's one of 214 00:10:26,320 --> 00:10:30,160 Speaker 2: the most brazen intelligence operations and assassination, you know, things 215 00:10:30,160 --> 00:10:32,439 Speaker 2: that have played out in history. I also think it's 216 00:10:32,480 --> 00:10:37,160 Speaker 2: a really good reminder modern war is not glorious. It's 217 00:10:37,200 --> 00:10:40,600 Speaker 2: not like a movie or call of duty. Watch videos 218 00:10:40,640 --> 00:10:42,800 Speaker 2: coming out of Ukraine. You have guys who are Russian 219 00:10:42,800 --> 00:10:45,400 Speaker 2: and Ukrainians napping in a hole and they look up 220 00:10:45,440 --> 00:10:47,600 Speaker 2: and they see a drone who drops a grenade on them, 221 00:10:47,600 --> 00:10:50,800 Speaker 2: and then they get literally blow up into smithereens or 222 00:10:50,840 --> 00:10:53,120 Speaker 2: here and you know, like this this is what actual 223 00:10:53,200 --> 00:10:58,240 Speaker 2: technological warfare looks like. It's bad, like it's you know, 224 00:10:58,320 --> 00:11:00,880 Speaker 2: be able to watch people get their limbs blown off. 225 00:11:00,960 --> 00:11:03,160 Speaker 2: I don't recommend it, but I have watched now several 226 00:11:03,160 --> 00:11:05,960 Speaker 2: of these videos, and this is what it actually looks like. 227 00:11:06,040 --> 00:11:07,880 Speaker 2: You know, this is what this is what you actually 228 00:11:07,920 --> 00:11:09,480 Speaker 2: want to stop from happening. 229 00:11:09,559 --> 00:11:13,080 Speaker 1: Generally, the reaction to it has been really just dark 230 00:11:13,160 --> 00:11:19,640 Speaker 1: in my opinion, Like the level of dehumanization of I 231 00:11:19,679 --> 00:11:23,079 Speaker 1: guess any Arab population at this point is really quite astonishing. 232 00:11:23,240 --> 00:11:26,079 Speaker 4: And you know, think about us the Russia Ukraine example. 233 00:11:26,160 --> 00:11:29,880 Speaker 1: Okay, imagine Russia partnered with China, which you know they're allies. 234 00:11:30,040 --> 00:11:33,480 Speaker 1: They have and we're able to similarly, you know, infiltrate 235 00:11:33,600 --> 00:11:37,200 Speaker 1: the Ukrainian supply chain, and we're able to you know, 236 00:11:37,240 --> 00:11:40,679 Speaker 1: blow up thousands of pages, walkie talkie, cell phones, whatever, 237 00:11:40,760 --> 00:11:45,680 Speaker 1: electronic devices indiscriminately across Ukraine, with a significant toll on 238 00:11:46,120 --> 00:11:49,400 Speaker 1: children killed, you know, random people just happen to be 239 00:11:49,480 --> 00:11:54,080 Speaker 1: nearby family members, et cetera. Imagine the way that would 240 00:11:54,120 --> 00:11:57,679 Speaker 1: be discussed, People would see clearly like this is this 241 00:11:57,720 --> 00:12:00,480 Speaker 1: is horrifying, this is you know, this is INDUS criminate, 242 00:12:00,640 --> 00:12:03,400 Speaker 1: this is this is a terror attack that would be 243 00:12:03,440 --> 00:12:05,200 Speaker 1: discussed in a very clear way. 244 00:12:05,679 --> 00:12:05,920 Speaker 5: Here. 245 00:12:06,040 --> 00:12:08,480 Speaker 1: Not only is it not discussed that way overwhelmingly. There 246 00:12:08,480 --> 00:12:11,800 Speaker 1: are a few exceptions out there, but it's discussed as 247 00:12:11,880 --> 00:12:15,880 Speaker 1: like wow, how cool and amazing and lol, look what 248 00:12:15,960 --> 00:12:18,680 Speaker 1: happened to them, et cetera. And you know, it's just 249 00:12:18,880 --> 00:12:22,560 Speaker 1: really disturbing the way that people are able to put 250 00:12:22,559 --> 00:12:25,160 Speaker 1: their humanity to the side, put the humanity of this, 251 00:12:25,280 --> 00:12:27,680 Speaker 1: you know, entire nation of people to the side, entire 252 00:12:27,720 --> 00:12:30,199 Speaker 1: region of people to the side, just based on the 253 00:12:30,720 --> 00:12:34,160 Speaker 1: US propaganda that they're fed. So, I mean that's part 254 00:12:34,200 --> 00:12:37,080 Speaker 1: of what's really dark here. Sorry you're alluding to as well, 255 00:12:37,160 --> 00:12:40,160 Speaker 1: Like once you open these doors, they don't close again. 256 00:12:40,640 --> 00:12:42,680 Speaker 1: Like this is the new reality is that this could 257 00:12:42,679 --> 00:12:44,280 Speaker 1: be a weapon in anyone's hands. 258 00:12:44,440 --> 00:12:46,280 Speaker 2: It's like, that's scary, and yeah, that's kind of what 259 00:12:46,320 --> 00:12:48,600 Speaker 2: I wanted to focus on too. Is you know how 260 00:12:48,600 --> 00:12:50,920 Speaker 2: many years have we been talking about here on the show. 261 00:12:51,000 --> 00:12:54,480 Speaker 2: We don't make anything. This entire phone is made outside 262 00:12:54,520 --> 00:12:56,640 Speaker 2: of the United States. The chip inside of it. Do 263 00:12:56,679 --> 00:12:58,560 Speaker 2: you really know? I mean, as far as I know, 264 00:12:58,760 --> 00:13:00,800 Speaker 2: you can't even take the back off your iPhone. You 265 00:13:00,880 --> 00:13:03,400 Speaker 2: have no idea what's in this spide You. 266 00:13:03,360 --> 00:13:04,800 Speaker 3: Don't know what's inside. I don't even know what's in 267 00:13:04,800 --> 00:13:05,600 Speaker 3: any of these cameras. 268 00:13:05,720 --> 00:13:08,960 Speaker 2: You know, on how many of us buy new electronics 269 00:13:09,000 --> 00:13:11,400 Speaker 2: on a day to day basis. So this is a 270 00:13:11,600 --> 00:13:14,880 Speaker 2: very good glimpse into look it could be used against us, 271 00:13:15,160 --> 00:13:18,840 Speaker 2: It could be used against anybody. And the details of 272 00:13:18,920 --> 00:13:22,200 Speaker 2: how this all went down actually shows how frankly easy 273 00:13:22,240 --> 00:13:25,720 Speaker 2: it was for the Israel. This isn't just because they're Lebanese. 274 00:13:25,720 --> 00:13:28,360 Speaker 2: Obviously these Reelis wanted to do it to Hesbala. This 275 00:13:28,440 --> 00:13:32,440 Speaker 2: could happen here instantaneously if anybody wanted to. 276 00:13:32,520 --> 00:13:34,040 Speaker 3: And also Israel is a small country. 277 00:13:34,080 --> 00:13:37,559 Speaker 2: Yes they're technologically advanced, but the actual details of the plot, 278 00:13:37,640 --> 00:13:41,040 Speaker 2: they're not that difficulty. That's actually kind of what's astounding. 279 00:13:41,160 --> 00:13:42,679 Speaker 2: Why don't we get into that. Yeah, you can put 280 00:13:42,720 --> 00:13:43,160 Speaker 2: that on the screen. 281 00:13:43,320 --> 00:13:45,520 Speaker 4: Let's go put this the Financial Times article. 282 00:13:45,600 --> 00:13:48,559 Speaker 1: And these details have actually been confirmed and furthered by 283 00:13:48,600 --> 00:13:52,280 Speaker 1: the New York Times, So you know, immediately people once 284 00:13:52,360 --> 00:13:54,840 Speaker 1: the pagers blow up, are like, where the hell did 285 00:13:54,880 --> 00:13:56,200 Speaker 1: these pages come from? 286 00:13:56,360 --> 00:13:57,400 Speaker 4: Like, how did this happen? 287 00:13:57,640 --> 00:14:00,000 Speaker 1: How were the Israelis able to penetrate the supply chain 288 00:14:00,200 --> 00:14:05,400 Speaker 1: in this way? They say, here Hesbela's preliminary investigation. According 289 00:14:05,440 --> 00:14:08,240 Speaker 1: to one of its officials, allegis Israel spy somehow hijacked 290 00:14:08,280 --> 00:14:10,520 Speaker 1: delivery of pages to Lebanon, packed them with tiny load 291 00:14:10,520 --> 00:14:14,480 Speaker 1: of explosives and components, and then detonated them almost simultaneously. 292 00:14:15,040 --> 00:14:18,920 Speaker 1: They traced it back to this sort of shell company 293 00:14:19,000 --> 00:14:22,800 Speaker 1: called BAC Consulting, according to Hungarian company records, was just 294 00:14:22,800 --> 00:14:25,280 Speaker 1: set up in May of twenty twenty two by this 295 00:14:25,320 --> 00:14:29,800 Speaker 1: woman you see on your screen. She's apparently the sole 296 00:14:29,840 --> 00:14:32,480 Speaker 1: director of the company. She did not reply to calls 297 00:14:32,480 --> 00:14:35,640 Speaker 1: and messages seeking her comment. Her LinkedIn profile lists a 298 00:14:35,720 --> 00:14:39,920 Speaker 1: PhD from ucl in particle physics among her qualifications, as 299 00:14:39,960 --> 00:14:43,880 Speaker 1: well as stints at other elite UK institutions like the 300 00:14:44,000 --> 00:14:47,040 Speaker 1: London School of Economics. One person who met her in 301 00:14:47,240 --> 00:14:51,600 Speaker 1: recent years described her as an academic. So immediately there 302 00:14:51,600 --> 00:14:54,440 Speaker 1: were a lot of questions about why this lady is 303 00:14:54,480 --> 00:14:58,920 Speaker 1: selling Taiwanese pagers to Lebanese buyers, And like I said, 304 00:14:58,920 --> 00:15:01,400 Speaker 1: the New York Times was basically able to confirm, like, oh, 305 00:15:01,480 --> 00:15:04,920 Speaker 1: these are this BAC consulting led by this woman who 306 00:15:05,000 --> 00:15:07,880 Speaker 1: you know very likely or very clearly has Israeli ties. 307 00:15:08,440 --> 00:15:12,040 Speaker 1: They're the ones who inserted the explosives before selling these 308 00:15:12,080 --> 00:15:15,520 Speaker 1: pagers to Hesbela. You know, they went and tried to 309 00:15:15,520 --> 00:15:18,360 Speaker 1: find her office building it's empty, and try to find 310 00:15:18,360 --> 00:15:21,240 Speaker 1: her apartment it's empty but has like a multi like 311 00:15:21,320 --> 00:15:24,760 Speaker 1: complicated multi luck on the door. The people who were 312 00:15:24,800 --> 00:15:27,560 Speaker 1: neighbors that we haven't seen her here forever. So anyway, 313 00:15:28,040 --> 00:15:31,080 Speaker 1: this appears to have been the way they were able 314 00:15:31,160 --> 00:15:37,640 Speaker 1: to effectuate this plot. And you know, the irony here 315 00:15:37,880 --> 00:15:41,240 Speaker 1: is that Hesbela knew that they needed to get ditched 316 00:15:41,280 --> 00:15:43,840 Speaker 1: their like smartphones and their cell phones because they were 317 00:15:43,880 --> 00:15:46,120 Speaker 1: worried about they knew about Israeli innovation. 318 00:15:46,200 --> 00:15:48,400 Speaker 4: We've even covered here. Was it called Pegasus, the. 319 00:15:49,320 --> 00:15:52,920 Speaker 1: Advanced hacking tools that they have where yeah, where you're 320 00:15:52,960 --> 00:15:55,200 Speaker 1: able to basically get access to any phone that you 321 00:15:55,240 --> 00:15:56,400 Speaker 1: have the phone number for and. 322 00:15:56,400 --> 00:15:57,960 Speaker 2: It's able to see what's going on. I'm a text 323 00:15:58,000 --> 00:16:00,440 Speaker 2: message nothing, Pegas is one. You needed to send something 324 00:16:00,480 --> 00:16:03,320 Speaker 2: like a compromise message. Pegas is too. If they want it, 325 00:16:03,360 --> 00:16:03,800 Speaker 2: you're done. 326 00:16:03,840 --> 00:16:06,040 Speaker 1: If they can get your phone number, then that's it. 327 00:16:06,120 --> 00:16:08,280 Speaker 1: They can get access to your phone. So they knew 328 00:16:08,320 --> 00:16:10,680 Speaker 1: that they've been tracking that as well, and so there 329 00:16:10,720 --> 00:16:12,280 Speaker 1: was a big push of like, all right, we got 330 00:16:12,280 --> 00:16:13,560 Speaker 1: to get rid of all. 331 00:16:13,400 --> 00:16:14,120 Speaker 4: The cell phones. 332 00:16:14,440 --> 00:16:16,600 Speaker 1: We got to go to this more like you know, 333 00:16:16,800 --> 00:16:20,840 Speaker 1: sort of terrestrial, outdated tech, the low tech that will 334 00:16:20,840 --> 00:16:23,760 Speaker 1: be more difficult for the israelis to be able to 335 00:16:23,920 --> 00:16:26,800 Speaker 1: track and be able to penetrate, to keep our communications 336 00:16:26,840 --> 00:16:31,160 Speaker 1: and our location networks secure. And you know, once they 337 00:16:31,240 --> 00:16:33,960 Speaker 1: made that move, that's exactly how Israel was able to 338 00:16:34,680 --> 00:16:36,680 Speaker 1: jump in. As you said, Tacker, there was some reporting 339 00:16:36,680 --> 00:16:40,240 Speaker 1: that the reason this happened now was because somebody in 340 00:16:40,280 --> 00:16:43,960 Speaker 1: Hesbela had figured out this was going on, and Israel 341 00:16:44,040 --> 00:16:46,600 Speaker 1: was able to assassinate that individual. This is all you know, 342 00:16:46,680 --> 00:16:49,080 Speaker 1: this is all not fully confirmed. There's as you said, 343 00:16:49,080 --> 00:16:50,560 Speaker 1: there's a lot of different stories about what might have 344 00:16:50,600 --> 00:16:53,440 Speaker 1: happened or why now, But Israel assassinates that person to 345 00:16:53,480 --> 00:16:56,200 Speaker 1: prevent them from you know, telling the chain of command 346 00:16:56,200 --> 00:16:59,160 Speaker 1: what the hell's going on. But they realized, you know, 347 00:16:59,160 --> 00:17:01,280 Speaker 1: the gig was kind of up up. The other thing, though, 348 00:17:01,320 --> 00:17:04,320 Speaker 1: I think that makes sense is we've seen anytime that 349 00:17:04,359 --> 00:17:06,880 Speaker 1: beb is a little bit on the rocks domestically politically. 350 00:17:06,920 --> 00:17:07,439 Speaker 4: What does he do? 351 00:17:07,560 --> 00:17:11,200 Speaker 1: He you know, assassinates a like top has what commander 352 00:17:11,240 --> 00:17:15,600 Speaker 1: in Beirut, or he assassinates Ismael Honeya in Tehran, or 353 00:17:15,640 --> 00:17:18,560 Speaker 1: he does some sort of you know, a taxa and 354 00:17:18,720 --> 00:17:23,360 Speaker 1: embassy in Syria. He does some sort of escalatory provocation 355 00:17:24,040 --> 00:17:28,160 Speaker 1: that his domestic population absolutely loves and takes the pressure 356 00:17:28,200 --> 00:17:30,879 Speaker 1: off of him politically so that he can keep holding 357 00:17:30,920 --> 00:17:32,800 Speaker 1: onto power and keep doing exactly what happens. 358 00:17:32,800 --> 00:17:35,000 Speaker 2: It could be the best explanation, right, And that's actually 359 00:17:35,040 --> 00:17:36,760 Speaker 2: one that makes quite a lot of sense. That bond 360 00:17:36,840 --> 00:17:39,520 Speaker 2: video went quite viral in Israel makes sense. You know, 361 00:17:39,560 --> 00:17:41,479 Speaker 2: there's one of those where look, we got to think 362 00:17:41,520 --> 00:17:44,080 Speaker 2: about it. I guess in their domestic terms, I mean 363 00:17:44,119 --> 00:17:46,240 Speaker 2: the problem is is that in Lebanon two there could 364 00:17:46,240 --> 00:17:49,040 Speaker 2: be a lot of chaos now in terms of what 365 00:17:49,080 --> 00:17:52,000 Speaker 2: the fallout from this could be for Hezbola and for 366 00:17:52,119 --> 00:17:55,640 Speaker 2: any of their Iranian proxies for them, Like, can they 367 00:17:55,680 --> 00:17:57,200 Speaker 2: really take this sitting down? 368 00:17:57,240 --> 00:17:58,800 Speaker 3: I mean you could see it both ways. One you'd be. 369 00:17:58,840 --> 00:18:02,160 Speaker 2: Terrified, You're like, wow, every element of our communications chain 370 00:18:02,200 --> 00:18:05,080 Speaker 2: is totally compromised. We're going to get wiped, you know, 371 00:18:05,119 --> 00:18:07,040 Speaker 2: if we ever have to go to a war again. 372 00:18:07,119 --> 00:18:09,040 Speaker 2: The other is, well, this is this is the thing 373 00:18:09,080 --> 00:18:12,520 Speaker 2: about Husbola. Yeah it do they commit like terrorist acts, yes, 374 00:18:12,560 --> 00:18:16,359 Speaker 2: but it's difficult to describe really in the West because 375 00:18:16,760 --> 00:18:20,600 Speaker 2: it's a non governmental like governmental institution. It's like almost 376 00:18:20,640 --> 00:18:23,720 Speaker 2: part of the Lebanese society and government at a basic 377 00:18:23,800 --> 00:18:26,760 Speaker 2: level of like schools, kind of like amas, you know 378 00:18:26,840 --> 00:18:30,439 Speaker 2: in Gaza. So it's a lot like the Bath party 379 00:18:30,520 --> 00:18:33,399 Speaker 2: in Iraq after our invasion, we were like, oh, we 380 00:18:33,440 --> 00:18:35,600 Speaker 2: can't have any Bath members. What about the teachers, what 381 00:18:35,600 --> 00:18:38,360 Speaker 2: about people run the electric companies. It's just it's difficult 382 00:18:38,400 --> 00:18:40,760 Speaker 2: to parse, you know the difference. That's also another thing 383 00:18:40,760 --> 00:18:43,040 Speaker 2: about the operation. I think it would be one thing 384 00:18:43,119 --> 00:18:44,840 Speaker 2: if they were all like in a meeting and you 385 00:18:44,920 --> 00:18:48,639 Speaker 2: exploded a meeting, right That's that's certainly like one area. 386 00:18:48,720 --> 00:18:51,360 Speaker 2: But the way that they did it, well, people were 387 00:18:51,760 --> 00:18:54,480 Speaker 2: in public. I don't really know, Like I don't know 388 00:18:54,520 --> 00:18:56,199 Speaker 2: if it was a message or if it was just 389 00:18:56,280 --> 00:18:58,679 Speaker 2: we have to do this right now, otherwise we're not 390 00:18:58,720 --> 00:19:01,320 Speaker 2: going to have any ability. But that's what's opened themselves 391 00:19:01,440 --> 00:19:05,480 Speaker 2: up to a lot of criticism from its own allies 392 00:19:05,560 --> 00:19:08,480 Speaker 2: like the US and others who at least behind the scenes, 393 00:19:08,920 --> 00:19:12,600 Speaker 2: were stunned that something like this happened inside the Middle East. 394 00:19:12,640 --> 00:19:14,159 Speaker 3: It certainly has created. 395 00:19:14,520 --> 00:19:16,480 Speaker 2: A lot of tension. We're going to get to this. 396 00:19:16,600 --> 00:19:19,439 Speaker 2: Flights have actually not been canceled to Israel. We can 397 00:19:19,520 --> 00:19:20,400 Speaker 2: put that up right now. 398 00:19:20,359 --> 00:19:20,840 Speaker 3: If we want. 399 00:19:21,000 --> 00:19:22,520 Speaker 4: Yeah, that's seven eight seven. 400 00:19:23,160 --> 00:19:29,080 Speaker 2: So multiple carriers have canceled there. They have canceled all 401 00:19:29,160 --> 00:19:33,560 Speaker 2: flights at Israel Amid Lebanon explanation, Luftanza Air so not 402 00:19:33,760 --> 00:19:36,080 Speaker 2: like Arab like f the hot Airways or whatever I'm 403 00:19:36,119 --> 00:19:39,159 Speaker 2: talking about, Luftanza Air, France and multiple others that have 404 00:19:39,240 --> 00:19:41,280 Speaker 2: canceled it. I mean, I guess out of fear that 405 00:19:41,280 --> 00:19:43,560 Speaker 2: somebody's gonna blow up on their plane, which is not 406 00:19:44,280 --> 00:19:47,080 Speaker 2: you know, unfounded no, I would say, I mean. 407 00:19:47,359 --> 00:19:49,760 Speaker 1: We could have, right, I mean, if somebody happened, if 408 00:19:49,760 --> 00:19:52,480 Speaker 1: a you know, a person happened to be on one 409 00:19:52,480 --> 00:19:56,080 Speaker 1: of these planes when the signal was sent. I mean, 410 00:19:56,440 --> 00:19:59,560 Speaker 1: I don't know. It seems pretty reasonably as pausible. Yah, 411 00:19:59,600 --> 00:20:04,679 Speaker 1: seems pretty plausible. But I mean again, if you think, like, 412 00:20:05,080 --> 00:20:08,280 Speaker 1: try to put yourself in the shoes of the Lebanese people. 413 00:20:08,359 --> 00:20:11,000 Speaker 1: Imagine if you had US service members who were at 414 00:20:11,000 --> 00:20:14,640 Speaker 1: the market, at home with their family, like, with their kids, whatever, 415 00:20:15,200 --> 00:20:18,320 Speaker 1: and their cell phone explodes with thousands of you know, 416 00:20:18,440 --> 00:20:20,920 Speaker 1: people who were injured, many of whom were innocent, bystander's 417 00:20:21,000 --> 00:20:25,199 Speaker 1: children who were killed, etc. You can imagine how we 418 00:20:25,240 --> 00:20:27,600 Speaker 1: would view that. We would rightly view that as a 419 00:20:27,680 --> 00:20:30,239 Speaker 1: terror attack. Put a four up on the screen. Just 420 00:20:30,520 --> 00:20:32,480 Speaker 1: one of the details here of one of the young 421 00:20:32,520 --> 00:20:33,720 Speaker 1: girl's nine year. 422 00:20:33,560 --> 00:20:35,480 Speaker 4: Old child who was killed yesterday. 423 00:20:35,600 --> 00:20:37,760 Speaker 1: Fatima was in the kitchen when the pager on the 424 00:20:37,760 --> 00:20:40,080 Speaker 1: table began to beep her. According to her aunt, she 425 00:20:40,119 --> 00:20:41,800 Speaker 1: picked up the device to bring it to her dad 426 00:20:41,840 --> 00:20:44,160 Speaker 1: and was holding it when it exploded, mangling her face, 427 00:20:44,400 --> 00:20:47,000 Speaker 1: leaving the room covered in blood. Fatima was trying to 428 00:20:47,000 --> 00:20:50,080 Speaker 1: take courses in English. Her aunt said she loved English, 429 00:20:50,160 --> 00:20:52,679 Speaker 1: and this is one of the children who was killed 430 00:20:52,680 --> 00:20:55,879 Speaker 1: in this attack. Matt Miller was asked a little bit 431 00:20:55,880 --> 00:20:59,520 Speaker 1: about this in a State Department briefing, specifically if he 432 00:20:59,600 --> 00:21:02,399 Speaker 1: supports it's the operations at target has. Well, let's go 433 00:21:02,400 --> 00:21:05,040 Speaker 1: ahead and take a listen to this exchange which has 434 00:21:05,080 --> 00:21:07,280 Speaker 1: to do with that, and also talks a little bit 435 00:21:07,320 --> 00:21:10,000 Speaker 1: more broadly about legitimacy of targets in general. 436 00:21:10,080 --> 00:21:13,720 Speaker 6: Yes, of course we support UH operations to target has 437 00:21:13,720 --> 00:21:17,520 Speaker 6: below militants who continue to launch terrorist attacks against civilians. 438 00:21:18,160 --> 00:21:20,919 Speaker 6: Israel has a right to defend itself against terrorism and 439 00:21:20,960 --> 00:21:25,360 Speaker 6: a right to carry out legitimate attacks against terrorists, not civilians, 440 00:21:25,400 --> 00:21:27,720 Speaker 6: but terrorists. So as a general proposition, yes, of course. 441 00:21:27,960 --> 00:21:30,280 Speaker 7: Okay, So let me go take you back to the 442 00:21:30,400 --> 00:21:34,280 Speaker 7: legitimacy of targets and so on. Yesterday a group of 443 00:21:34,280 --> 00:21:39,159 Speaker 7: settlers attacked that's school in Jericho. They beat up the students, 444 00:21:39,200 --> 00:21:41,520 Speaker 7: they broke their bone, they beat up their teachers, and 445 00:21:41,560 --> 00:21:45,240 Speaker 7: so on. Are they a legitimate target? Should they be 446 00:21:45,280 --> 00:21:48,240 Speaker 7: a legitimate target by the same kind of definition that 447 00:21:48,560 --> 00:21:51,000 Speaker 7: in which you have defined the other target. 448 00:21:50,760 --> 00:21:54,679 Speaker 6: Are are civilians who the settlers attacking legitimate targets. Absolutely not. 449 00:21:54,680 --> 00:21:58,200 Speaker 7: I'm saying the settlers who are who have attacked. 450 00:21:58,280 --> 00:22:02,720 Speaker 6: The settlers should be stulers should settlers should be held 451 00:22:02,720 --> 00:22:05,880 Speaker 6: accountable through law enforcement means site hold on, not through 452 00:22:05,880 --> 00:22:11,760 Speaker 6: any type of uh extra judicial process or military process. 453 00:22:11,800 --> 00:22:14,359 Speaker 6: They should be held account by law enforcement, which is 454 00:22:14,400 --> 00:22:18,000 Speaker 6: what we would say about any type of violent attacks 455 00:22:18,080 --> 00:22:22,840 Speaker 6: on individuals, that the law enforcement hold them accountable to 456 00:22:22,840 --> 00:22:23,439 Speaker 6: the folkstad of. 457 00:22:23,440 --> 00:22:25,840 Speaker 7: The law, although they do take the law into their 458 00:22:25,840 --> 00:22:27,080 Speaker 7: own hand time and time again. 459 00:22:27,240 --> 00:22:30,080 Speaker 6: Very violent, absolutely, which is why we believe they should 460 00:22:30,080 --> 00:22:32,200 Speaker 6: be held accountable. And as you've seen, the United States 461 00:22:32,200 --> 00:22:35,280 Speaker 6: make clear through our own actions, if and when Israel 462 00:22:35,320 --> 00:22:37,600 Speaker 6: does not step up and hold people accountable, we will 463 00:22:37,600 --> 00:22:38,400 Speaker 6: do so ourselves. 464 00:22:39,119 --> 00:22:39,639 Speaker 3: Interesting. 465 00:22:39,760 --> 00:22:41,320 Speaker 4: Yeah, I really help people accountable. 466 00:22:41,600 --> 00:22:44,280 Speaker 2: One I think very reasonable take for those out there. 467 00:22:44,320 --> 00:22:46,560 Speaker 2: A guy named John rob who often looked to He says, 468 00:22:46,600 --> 00:22:48,840 Speaker 2: the reason the governments don't do this is it green 469 00:22:48,880 --> 00:22:52,160 Speaker 2: lights the booby trapping and sabotaging of civilian supply chains. 470 00:22:52,200 --> 00:22:56,760 Speaker 2: Electronics that explode devolve into contaminated food and or water. 471 00:22:56,840 --> 00:23:00,040 Speaker 2: And that's actually, frankly, what scares me the most and 472 00:23:00,680 --> 00:23:02,879 Speaker 2: part of the reason why I really wanted to flag. 473 00:23:02,920 --> 00:23:05,680 Speaker 2: This of like, this is what modern war would look 474 00:23:05,760 --> 00:23:08,840 Speaker 2: like if you think about total war. Almost every war 475 00:23:08,880 --> 00:23:13,000 Speaker 2: of the twentieth century major conflict between nation states escalates 476 00:23:13,000 --> 00:23:16,080 Speaker 2: into like a true do or die situation, especially if 477 00:23:16,119 --> 00:23:19,000 Speaker 2: America or to ever get involved. Think about how compromised 478 00:23:19,040 --> 00:23:23,000 Speaker 2: our supply chain is, how much we rely on exports. 479 00:23:23,040 --> 00:23:26,679 Speaker 2: Even our own military often runs on stuff from Afar. 480 00:23:26,760 --> 00:23:30,680 Speaker 2: But then think about too, about the legitimacy of target 481 00:23:30,800 --> 00:23:33,840 Speaker 2: allegedly like here in America, and like we would count 482 00:23:33,840 --> 00:23:36,040 Speaker 2: for that you and I could technically qualify like, oh, 483 00:23:36,040 --> 00:23:40,560 Speaker 2: propagandists of the state, you know, depending on whose definition, 484 00:23:40,680 --> 00:23:43,680 Speaker 2: if somebody was in here and they happened to be 485 00:23:43,920 --> 00:23:47,200 Speaker 2: one of those people, which certainly possible any of the 486 00:23:47,520 --> 00:23:50,879 Speaker 2: supply or the transit networks that we take whenever we 487 00:23:51,000 --> 00:23:52,959 Speaker 2: come here to where you could just see how this 488 00:23:53,000 --> 00:23:56,159 Speaker 2: could very clearly go crazy. And that is actually probably 489 00:23:56,160 --> 00:24:00,320 Speaker 2: what I'm most afraid of is watching both watch the 490 00:24:00,480 --> 00:24:03,040 Speaker 2: Russia Ukraine War. I mean, if you look at it, 491 00:24:03,240 --> 00:24:06,560 Speaker 2: what are the Russians strike Whenever they do missiles, It's 492 00:24:06,600 --> 00:24:09,840 Speaker 2: not the civilian popular they're going after, like energy centers 493 00:24:09,920 --> 00:24:14,399 Speaker 2: and the power stations inside of Ukraine. With Hamas Israel 494 00:24:14,440 --> 00:24:16,360 Speaker 2: has mostly done that as well. But now with Hesbolo, 495 00:24:16,440 --> 00:24:19,720 Speaker 2: you're like you're giving you know, uh, these these tainted 496 00:24:19,880 --> 00:24:23,200 Speaker 2: pagers that have been exploited through some sort of supply chain. 497 00:24:23,240 --> 00:24:25,760 Speaker 2: You're just blowing it up wherever you want. Same with 498 00:24:25,800 --> 00:24:30,040 Speaker 2: these cheap, commercially available drones which we're seeing all over 499 00:24:30,080 --> 00:24:31,560 Speaker 2: the Russia Ukraine war. 500 00:24:31,600 --> 00:24:32,960 Speaker 3: A lot of them fall out of the sky and 501 00:24:33,000 --> 00:24:35,280 Speaker 3: blow people up all the time. So this is what 502 00:24:35,320 --> 00:24:36,240 Speaker 3: it's really going to look like. 503 00:24:36,280 --> 00:24:38,560 Speaker 2: This is why war is a nightmare and you should 504 00:24:38,640 --> 00:24:41,480 Speaker 2: avoid it at all costs. And we're getting now four 505 00:24:41,560 --> 00:24:43,960 Speaker 2: K video of what it really looks like when you 506 00:24:44,000 --> 00:24:46,680 Speaker 2: get your entire face blown off. Previously, you know, at 507 00:24:46,680 --> 00:24:49,359 Speaker 2: best it's a government sensor. Lets some guy ride about 508 00:24:49,359 --> 00:24:51,640 Speaker 2: it two years later, like now you're seeing it four 509 00:24:51,720 --> 00:24:55,080 Speaker 2: k irl and that's that's really scary, honestly. 510 00:24:55,160 --> 00:24:57,399 Speaker 4: Now it's a Pandora's box, like it really is. 511 00:24:57,480 --> 00:25:00,199 Speaker 1: They really are opening Pandora's box with this, And so 512 00:25:00,400 --> 00:25:02,120 Speaker 1: you know for all that we can put John Fetterman 513 00:25:02,200 --> 00:25:04,080 Speaker 1: out here up on the screen a six to finish 514 00:25:04,080 --> 00:25:08,240 Speaker 1: this sound fools like him who celebrate these types of actions. 515 00:25:08,440 --> 00:25:11,119 Speaker 1: I fully support efforts to target and neutralize any existential 516 00:25:11,119 --> 00:25:14,359 Speaker 1: threat like HESBLA and think it could never happen to us, 517 00:25:14,600 --> 00:25:16,920 Speaker 1: Like have the arrogance to think that this could never 518 00:25:16,960 --> 00:25:19,199 Speaker 1: be done to us or one of our allies or 519 00:25:19,200 --> 00:25:21,760 Speaker 1: some population that he happens to care about. You know, 520 00:25:21,800 --> 00:25:24,120 Speaker 1: you're a full You're an absolute fool. And what can 521 00:25:24,160 --> 00:25:27,600 Speaker 1: we say about it if slash when it does happen 522 00:25:27,680 --> 00:25:30,080 Speaker 1: to some group that we care about, What will we 523 00:25:30,160 --> 00:25:32,719 Speaker 1: have to say about it when we you know, maybe 524 00:25:32,720 --> 00:25:35,400 Speaker 1: behind the scenes we'll have another tough talk with Netanyahu 525 00:25:35,480 --> 00:25:38,359 Speaker 1: or whatever. But there's no expectation that the US government 526 00:25:38,400 --> 00:25:42,080 Speaker 1: is going to come out and condemn these indiscriminate attacks 527 00:25:42,160 --> 00:25:46,600 Speaker 1: on you know, this technology and infiltration of a civilian 528 00:25:46,680 --> 00:25:50,160 Speaker 1: supply chain, et cetera. So very scary world that we're 529 00:25:50,280 --> 00:25:50,760 Speaker 1: entering here. 530 00:25:51,119 --> 00:25:56,600 Speaker 2: Certainly, let's go to the next part the economy. There's 531 00:25:56,600 --> 00:25:59,360 Speaker 2: been some major developments here with the Federal Reserve. Let's 532 00:25:59,400 --> 00:26:01,800 Speaker 2: go and put this out there on the screen. The 533 00:26:01,800 --> 00:26:06,040 Speaker 2: Federal Reserve has announced now a half point rate cut yesterday, 534 00:26:06,520 --> 00:26:09,119 Speaker 2: lowers interest rates by quote fifty basis points. 535 00:26:09,119 --> 00:26:11,119 Speaker 3: You can think of that as half of a percent. 536 00:26:11,480 --> 00:26:14,560 Speaker 2: It still is the largest reduction I believe since two 537 00:26:14,600 --> 00:26:17,399 Speaker 2: thousand and eight, and is the first time since twenty 538 00:26:17,560 --> 00:26:21,000 Speaker 2: twenty that a rate cut has been announced now by 539 00:26:21,119 --> 00:26:23,159 Speaker 2: the Fed. Really, what it is is that it's an 540 00:26:23,160 --> 00:26:27,040 Speaker 2: admission by Jerome Powell that this effort to curb inflation 541 00:26:27,800 --> 00:26:32,400 Speaker 2: just through interest rates is now over. But it also reveals, 542 00:26:32,440 --> 00:26:35,600 Speaker 2: i think, frankly, an extraordinary failure on their point, because 543 00:26:35,760 --> 00:26:38,719 Speaker 2: what ended up happening is that we had effectively supply 544 00:26:38,880 --> 00:26:42,320 Speaker 2: side inflation that was not entirely fiscally caused. I'm not 545 00:26:42,320 --> 00:26:45,760 Speaker 2: going to say fiscal policy didn't have any impact on it, 546 00:26:45,840 --> 00:26:48,880 Speaker 2: but throughout the entire time recall, we had very very 547 00:26:48,920 --> 00:26:52,040 Speaker 2: low unemployment rates. Now we're actually beginning to see those 548 00:26:52,119 --> 00:26:55,600 Speaker 2: unemployment rates take up. Inflation to the extent it is 549 00:26:55,680 --> 00:26:59,479 Speaker 2: cooled is largely because again of supply side factors, and 550 00:26:59,520 --> 00:27:02,760 Speaker 2: all they have done really is that jack interest rates 551 00:27:02,840 --> 00:27:06,440 Speaker 2: up so high that it has made the basic attainment 552 00:27:06,560 --> 00:27:09,560 Speaker 2: of American life from a car loan to a house 553 00:27:09,640 --> 00:27:14,640 Speaker 2: loan incredibly expensive. The ratio now worth prices where they 554 00:27:14,640 --> 00:27:17,040 Speaker 2: are at all time highs or near all time highs 555 00:27:17,240 --> 00:27:20,640 Speaker 2: for houses specifically in like the majority of housing markets 556 00:27:20,680 --> 00:27:23,280 Speaker 2: compared then to the mortgage, and then when you put 557 00:27:23,280 --> 00:27:26,560 Speaker 2: that up against what the average income or even frankly 558 00:27:26,600 --> 00:27:28,400 Speaker 2: like a decent income, let's say one hundred and twenty 559 00:27:28,400 --> 00:27:31,159 Speaker 2: thousand dollars per year, you just put a vast majority 560 00:27:31,200 --> 00:27:35,080 Speaker 2: of housing unavailable to a lot of people. Another really 561 00:27:35,119 --> 00:27:38,000 Speaker 2: bad thing that happened is that high high interest rates 562 00:27:38,560 --> 00:27:42,560 Speaker 2: at the current time, at least compared to our relative history, 563 00:27:43,040 --> 00:27:45,359 Speaker 2: locked a lot of people in who have low interest 564 00:27:45,440 --> 00:27:49,040 Speaker 2: rates into their houses. So the housing stock took a dive. 565 00:27:49,920 --> 00:27:52,840 Speaker 2: And so what happened is that the housing supply actually 566 00:27:52,880 --> 00:27:57,960 Speaker 2: constricted significantly. Then you had borrowing costs significantly go up, 567 00:27:58,119 --> 00:28:00,520 Speaker 2: credit card interest balance in all these other things are 568 00:28:00,600 --> 00:28:03,840 Speaker 2: all time highs right now. People's savings are very very low. 569 00:28:04,440 --> 00:28:06,040 Speaker 2: So I mean, look, I'm happy to see it. I 570 00:28:06,040 --> 00:28:08,560 Speaker 2: guess some people are calling it to you know, election 571 00:28:08,960 --> 00:28:12,439 Speaker 2: interference and all that. To be honest, like, this is 572 00:28:12,480 --> 00:28:14,240 Speaker 2: part of the problem I think with the so called 573 00:28:14,240 --> 00:28:16,640 Speaker 2: like independent Federal Reserve and all that. It is actually 574 00:28:16,720 --> 00:28:19,240 Speaker 2: quite common to cut interest rates in an election year. 575 00:28:19,359 --> 00:28:21,240 Speaker 2: You could read it into that kind of what you will. 576 00:28:22,400 --> 00:28:24,200 Speaker 2: Dave Ramsey talks about all the time. He's like, election 577 00:28:24,280 --> 00:28:25,600 Speaker 2: year is coming he's like, you know, they're going to 578 00:28:25,680 --> 00:28:28,200 Speaker 2: cut interest rates out. Just it's one of those where 579 00:28:28,480 --> 00:28:31,160 Speaker 2: you could almost you could also basically bet on it. 580 00:28:31,200 --> 00:28:34,600 Speaker 2: But also at the current time, it is pretty clear 581 00:28:35,359 --> 00:28:38,040 Speaker 2: what the net effect of these very high interest rates were, 582 00:28:38,080 --> 00:28:42,720 Speaker 2: which was very high credit card balances, a mortgage unattainability, 583 00:28:43,200 --> 00:28:46,280 Speaker 2: locking people a lot of the housing stock up. The 584 00:28:46,320 --> 00:28:49,000 Speaker 2: only question is if this is even enough to still 585 00:28:49,120 --> 00:28:52,280 Speaker 2: unleash you know, some borrowing or some interest in the 586 00:28:52,320 --> 00:28:55,440 Speaker 2: real estate market, just because compared to where a lot 587 00:28:55,480 --> 00:28:57,560 Speaker 2: of people still are with a two or three percent 588 00:28:57,640 --> 00:29:00,520 Speaker 2: mortgage rate, you know, five percent still a lot, you know, 589 00:29:00,600 --> 00:29:03,120 Speaker 2: if you especially if you look at the comparison for 590 00:29:03,160 --> 00:29:06,040 Speaker 2: the same amount of downpayment and what your new mortgage 591 00:29:06,160 --> 00:29:08,480 Speaker 2: would be in some cases like thousands of dollars more 592 00:29:08,520 --> 00:29:10,440 Speaker 2: depending on the house, especially if you live in a 593 00:29:10,440 --> 00:29:12,960 Speaker 2: market like we do in the DMV, where like the 594 00:29:13,000 --> 00:29:15,440 Speaker 2: average house costs is like eight or nine hundred thousand 595 00:29:15,440 --> 00:29:16,920 Speaker 2: dollars just extraordinary. 596 00:29:17,040 --> 00:29:18,040 Speaker 3: Yeah, well it costs you. 597 00:29:18,160 --> 00:29:21,520 Speaker 1: It's insane the amount of difference at one point in 598 00:29:21,560 --> 00:29:22,640 Speaker 1: the mortgage industry. 599 00:29:22,720 --> 00:29:24,920 Speaker 3: You should play with those calculators, and it's really important to. 600 00:29:24,920 --> 00:29:27,719 Speaker 1: Understand it's insane like, I really didn't hadn't done that 601 00:29:27,800 --> 00:29:29,960 Speaker 1: math until we started looking at it in the context 602 00:29:30,040 --> 00:29:31,800 Speaker 1: of FED policy, and I was blown away. 603 00:29:31,840 --> 00:29:35,840 Speaker 3: But I never needed to because of eight right, just low. 604 00:29:35,720 --> 00:29:38,760 Speaker 1: Interested like lower zero interest rates. And yeah, when you 605 00:29:38,840 --> 00:29:41,000 Speaker 1: start looking at it, oh, when you're in mortgage interest 606 00:29:41,040 --> 00:29:43,920 Speaker 1: rate is five percent, six percent, seven percent, how much 607 00:29:43,920 --> 00:29:47,479 Speaker 1: of a difference that makes in terms of what you're getting, 608 00:29:47,520 --> 00:29:50,080 Speaker 1: how much house you can get for your money. It's 609 00:29:50,240 --> 00:29:52,760 Speaker 1: pretty mind blowing. So I think that'll be one of 610 00:29:52,800 --> 00:29:55,840 Speaker 1: the major impacts is you know, hopefully it will help 611 00:29:55,920 --> 00:29:58,920 Speaker 1: to start to get more movement in the housing market. 612 00:29:59,000 --> 00:30:02,400 Speaker 1: I did see that housing starts, like new house building 613 00:30:03,000 --> 00:30:06,040 Speaker 1: is up, but not enough to overcome the fact that 614 00:30:06,080 --> 00:30:08,400 Speaker 1: you have you know, you can imagine if you have 615 00:30:08,560 --> 00:30:11,000 Speaker 1: a low mortgage interest rate, even if you kind of 616 00:30:11,040 --> 00:30:12,720 Speaker 1: want to move or kind of want to get something else, 617 00:30:12,800 --> 00:30:16,040 Speaker 1: they're no way you're going anywhere until mortgage interest rates 618 00:30:16,040 --> 00:30:18,200 Speaker 1: come down. So that will certainly be one of the 619 00:30:18,200 --> 00:30:20,160 Speaker 1: things we will be looking towards. You know, there are 620 00:30:20,160 --> 00:30:22,680 Speaker 1: a lot of people who argue this rate cut, and 621 00:30:22,880 --> 00:30:25,040 Speaker 1: I think emblematic of the fact that they went with 622 00:30:25,120 --> 00:30:27,720 Speaker 1: the you know, the fifty bps or that the half 623 00:30:27,720 --> 00:30:30,360 Speaker 1: point rate cut rather than the standard point two five 624 00:30:30,400 --> 00:30:32,800 Speaker 1: percentage point. A lot of people feel like this came 625 00:30:32,920 --> 00:30:35,360 Speaker 1: kind of too late, like they hung on to the 626 00:30:35,400 --> 00:30:38,440 Speaker 1: interest rate you know, hikes and keeping it static for 627 00:30:38,480 --> 00:30:40,920 Speaker 1: a little bit too long, because we started to see 628 00:30:41,360 --> 00:30:45,000 Speaker 1: these troubling signs in the labor market in particular, where 629 00:30:45,000 --> 00:30:47,760 Speaker 1: you're having job misses in terms of the number of 630 00:30:47,760 --> 00:30:50,280 Speaker 1: new jobs created, you start to have that unemployment rate 631 00:30:50,600 --> 00:30:53,400 Speaker 1: tick up, and so you know, there are many who 632 00:30:53,400 --> 00:30:55,760 Speaker 1: would argue that this actually came a little bit too 633 00:30:55,920 --> 00:30:57,640 Speaker 1: late and that's why they're going with this. 634 00:30:57,840 --> 00:30:58,640 Speaker 4: Larger rate cut. 635 00:30:58,640 --> 00:31:02,440 Speaker 1: But you know, obviously huge impact in terms of the economy. 636 00:31:02,480 --> 00:31:05,000 Speaker 1: Impossible to predict how much because these are you know, 637 00:31:05,040 --> 00:31:07,320 Speaker 1: there's a lag, and these are very powerful tools, but 638 00:31:07,360 --> 00:31:10,040 Speaker 1: sometimes it takes some time to see what exactly all unfolds. 639 00:31:10,320 --> 00:31:12,680 Speaker 4: And also potentially you know, powerful impact. 640 00:31:12,440 --> 00:31:16,120 Speaker 1: On the political situation, given that we are close to 641 00:31:16,160 --> 00:31:19,120 Speaker 1: an election, and any positive movement in the economy, which 642 00:31:19,160 --> 00:31:21,800 Speaker 1: people expect. You know that when lending and when it's 643 00:31:21,880 --> 00:31:25,200 Speaker 1: cheaper to borrow, it stimulates more economic activity. 644 00:31:25,240 --> 00:31:26,600 Speaker 4: That's typically how that works. 645 00:31:26,920 --> 00:31:29,640 Speaker 1: So the expectation is that this will help juice the 646 00:31:29,680 --> 00:31:32,200 Speaker 1: economy in a way that could be beneficial to Kamala Harris, 647 00:31:32,200 --> 00:31:34,000 Speaker 1: which is why Trump is that's. 648 00:31:33,800 --> 00:31:36,800 Speaker 2: Why, well, let's talk about that. Trump addressed this yesterday. 649 00:31:37,080 --> 00:31:38,400 Speaker 2: Let's go ahead and take a listen. 650 00:31:38,880 --> 00:31:41,080 Speaker 8: I guess it, Josie, economy is very good. To cut 651 00:31:41,080 --> 00:31:44,760 Speaker 8: it by that much, assuming they're not just playing politics, 652 00:31:44,800 --> 00:31:48,560 Speaker 8: the economy would be very bad, or they're playing politics 653 00:31:48,560 --> 00:31:49,280 Speaker 8: to one of the others. 654 00:31:49,280 --> 00:31:50,600 Speaker 7: But it was a big cut. 655 00:31:50,960 --> 00:31:51,880 Speaker 3: It was a big cut. You know. 656 00:31:51,920 --> 00:31:54,600 Speaker 2: Trump A lot of people forget this, but he was 657 00:31:54,720 --> 00:31:57,840 Speaker 2: obsessed with actually giving I remember this. It was smart 658 00:31:57,880 --> 00:32:00,760 Speaker 2: because he was one of the first presidents to in 659 00:32:00,800 --> 00:32:03,440 Speaker 2: a long time. A lot of presidents have this religion 660 00:32:03,480 --> 00:32:05,560 Speaker 2: around the FED. They're like, oh, we can't impact the 661 00:32:05,560 --> 00:32:08,479 Speaker 2: Federal Reserve at all. And he would openly just tweet 662 00:32:08,520 --> 00:32:10,680 Speaker 2: and berate Jerome Powell, being like, you need to keep 663 00:32:10,760 --> 00:32:13,720 Speaker 2: interest rates low. It's because of his real estate background. 664 00:32:13,760 --> 00:32:16,360 Speaker 2: I mean, he knows that he lived through the seventies 665 00:32:16,400 --> 00:32:19,120 Speaker 2: and eighties. That's when he made his money. So imagine 666 00:32:19,160 --> 00:32:22,400 Speaker 2: playing in a world where nineteen percent interest rates. I 667 00:32:22,440 --> 00:32:25,560 Speaker 2: can't I really honestly can't imagine what mortgage payments and 668 00:32:25,600 --> 00:32:27,800 Speaker 2: all that would have looked like even if the prices 669 00:32:28,080 --> 00:32:31,800 Speaker 2: were crazy low. So his interest and knowledge of interest 670 00:32:31,880 --> 00:32:35,120 Speaker 2: rates was one where as president he had consistently campaigned 671 00:32:35,360 --> 00:32:38,280 Speaker 2: to keep low interest rates and to pressure the Federal Reserve. 672 00:32:38,320 --> 00:32:41,080 Speaker 2: And he understands also the power now, as you said, 673 00:32:41,240 --> 00:32:43,600 Speaker 2: the idea that a low interest rate cut or a 674 00:32:43,600 --> 00:32:48,560 Speaker 2: cut of fifty basis points is going to material materialize 675 00:32:48,600 --> 00:32:50,800 Speaker 2: in a real way for most people in the span 676 00:32:50,880 --> 00:32:53,360 Speaker 2: of was it forty something days now to election? 677 00:32:53,560 --> 00:32:54,800 Speaker 3: That is kind of ridiculous. 678 00:32:54,800 --> 00:32:58,120 Speaker 2: But I mean he does understand too what the overall 679 00:32:58,160 --> 00:33:01,480 Speaker 2: economic picture of that can look like like. If you're 680 00:33:01,600 --> 00:33:05,760 Speaker 2: willing to take a federal like interest rate view of history, 681 00:33:05,920 --> 00:33:08,280 Speaker 2: going back and reading the eighties, you know, you really 682 00:33:08,280 --> 00:33:09,080 Speaker 2: have two choices. 683 00:33:09,120 --> 00:33:10,680 Speaker 3: You can look at it as a change in interest rates. 684 00:33:10,720 --> 00:33:12,800 Speaker 2: You can look at a change in fiscal policy, and 685 00:33:12,880 --> 00:33:14,640 Speaker 2: it kind of tells you. Both can tell you a 686 00:33:14,720 --> 00:33:17,600 Speaker 2: very compelling story as to why growth in an economy 687 00:33:17,600 --> 00:33:20,040 Speaker 2: occurs or why people feel the way that they do. 688 00:33:20,120 --> 00:33:21,520 Speaker 2: I think the number one lesson we can all take 689 00:33:21,560 --> 00:33:24,080 Speaker 2: away is we now all understand why like boomers are 690 00:33:24,080 --> 00:33:26,200 Speaker 2: so obsessed with inflation because of what it was like 691 00:33:26,280 --> 00:33:29,360 Speaker 2: to live through the nineteen seventies and so we didn't 692 00:33:29,400 --> 00:33:30,960 Speaker 2: get it nearly as bad, but I get it now, 693 00:33:31,040 --> 00:33:32,880 Speaker 2: you know, in terms of what it looks like, and 694 00:33:32,920 --> 00:33:34,720 Speaker 2: a lot of people will pay a lot more attention. 695 00:33:34,920 --> 00:33:38,240 Speaker 2: And politically, of course, I mean, inflation is probably the 696 00:33:38,320 --> 00:33:41,640 Speaker 2: single biggest blow to the Biden that other than his age, 697 00:33:41,760 --> 00:33:44,120 Speaker 2: and to Kamala Harris that she has to work through. 698 00:33:44,120 --> 00:33:46,480 Speaker 2: So we're learning really the impact that that has, and 699 00:33:46,520 --> 00:33:49,320 Speaker 2: it wakes everybody up to what politics looks like. 700 00:33:49,480 --> 00:33:52,200 Speaker 1: Yeah, that's right, And just let's put this CNBC article 701 00:33:52,280 --> 00:33:54,960 Speaker 1: up that took a look at some of the overseas, 702 00:33:55,080 --> 00:33:57,160 Speaker 1: you know, sort of the global impacts of what a 703 00:33:57,240 --> 00:33:59,680 Speaker 1: fat rate cut could mean. They say, from currencies and 704 00:33:59,680 --> 00:34:02,080 Speaker 1: command of these equities to bonds, global markets are braced 705 00:34:02,080 --> 00:34:02,840 Speaker 1: for that rate cut. 706 00:34:03,120 --> 00:34:06,160 Speaker 4: This was written before it happened. They talk about how oil. 707 00:34:05,960 --> 00:34:08,560 Speaker 1: And other commodities which are usually price and dollars, often 708 00:34:08,600 --> 00:34:11,200 Speaker 1: receive a boost with the rate cut. A lot of 709 00:34:11,320 --> 00:34:15,040 Speaker 1: emerging markets very sensitive to these factors, and they say 710 00:34:15,080 --> 00:34:17,920 Speaker 1: much of the global stock market volatility over recent months 711 00:34:17,960 --> 00:34:20,600 Speaker 1: was linked to speculation about when and by how much 712 00:34:20,640 --> 00:34:23,719 Speaker 1: the US Central Bank will reduced rates. Quote interest rate 713 00:34:23,719 --> 00:34:25,960 Speaker 1: cuts reduced the cost of barring US dollars, there by 714 00:34:25,960 --> 00:34:29,960 Speaker 1: creating easier liquidity conditions for companies around the world. Lower 715 00:34:30,000 --> 00:34:33,239 Speaker 1: interest rates should also lower the yield available on US 716 00:34:33,280 --> 00:34:37,200 Speaker 1: assets like treasuries, US, making other markets relatively more attractive. 717 00:34:37,280 --> 00:34:39,360 Speaker 1: So that's some of the prediction about some of the 718 00:34:39,440 --> 00:34:43,640 Speaker 1: global ripple effects of the FED lowering rates. The FED 719 00:34:43,719 --> 00:34:46,759 Speaker 1: was actually a little bit slow by global standards. Some 720 00:34:46,800 --> 00:34:50,359 Speaker 1: other more advanced economies had their central banks had cut 721 00:34:50,400 --> 00:34:53,680 Speaker 1: rates before we did. Even though you know this is 722 00:34:53,680 --> 00:34:56,560 Speaker 1: not to minimize the pain of inflation here, but if 723 00:34:56,600 --> 00:34:59,279 Speaker 1: you look around the world, we actually fared a lot 724 00:34:59,360 --> 00:35:04,200 Speaker 1: better then many other advanced countries and were able to 725 00:35:04,600 --> 00:35:08,600 Speaker 1: lessen inflation more quickly than other advanced economies. So the 726 00:35:08,640 --> 00:35:11,359 Speaker 1: FED a little bit behind the curve globally in terms 727 00:35:11,400 --> 00:35:12,160 Speaker 1: of making this move. 728 00:35:12,560 --> 00:35:13,239 Speaker 3: Yeah, you're right. 729 00:35:13,280 --> 00:35:16,040 Speaker 2: And now we've got to turn to some more recent 730 00:35:16,120 --> 00:35:20,760 Speaker 2: economic news. Trump with one of the most hilarious flip 731 00:35:20,760 --> 00:35:22,480 Speaker 2: flops of all time. Let's go ahead and put this 732 00:35:22,560 --> 00:35:24,919 Speaker 2: up there on the screen. I wonder if he even 733 00:35:25,000 --> 00:35:28,640 Speaker 2: noticed that he was flip flopping. So Trump somehow put 734 00:35:28,800 --> 00:35:31,120 Speaker 2: buried this in the middle of a tweet whenever he 735 00:35:31,160 --> 00:35:34,920 Speaker 2: announced a rally in Long Island, New York, an area 736 00:35:34,960 --> 00:35:39,080 Speaker 2: that has slowly but surely turned very maga. He says, 737 00:35:39,200 --> 00:35:41,719 Speaker 2: Nasau Coliseum will be a really big deal. It's going 738 00:35:41,800 --> 00:35:44,040 Speaker 2: to be packed, and it was packed, hundreds of thousands 739 00:35:44,040 --> 00:35:46,239 Speaker 2: of migrants, cry, etc. What the hell do you have 740 00:35:46,320 --> 00:35:48,560 Speaker 2: to lose? Vote for Trump? I will listen to this. 741 00:35:49,000 --> 00:35:55,080 Speaker 2: I will turn it around. Get salt back, lowerre your taxes. Okay, 742 00:35:55,200 --> 00:35:57,799 Speaker 2: So we spent hours and hours on this show talking 743 00:35:57,800 --> 00:36:01,000 Speaker 2: about salt. It remains one of the most hilarious policy 744 00:36:01,000 --> 00:36:06,480 Speaker 2: areas in Washington because this is a blue state, specifically 745 00:36:06,760 --> 00:36:11,120 Speaker 2: rich person ub session. The way it basically works, it's 746 00:36:11,200 --> 00:36:15,920 Speaker 2: kind of hard to explain, but the previously, prior to 747 00:36:15,960 --> 00:36:20,160 Speaker 2: the twenty seventeen Trump tax bill, blue states where they 748 00:36:20,160 --> 00:36:21,160 Speaker 2: had high tax rates. 749 00:36:21,200 --> 00:36:23,600 Speaker 3: Let's say California. The easiest ways to think about. 750 00:36:23,400 --> 00:36:25,560 Speaker 4: Alighi in New York California or primary all right. 751 00:36:25,560 --> 00:36:27,080 Speaker 2: But California is an easy one. And let's take a 752 00:36:27,120 --> 00:36:29,359 Speaker 2: million dollars. So, and there's a reason I'm saying a million, 753 00:36:29,360 --> 00:36:31,440 Speaker 2: because that's really the only people this applies to. If 754 00:36:31,480 --> 00:36:33,239 Speaker 2: you have a million dollars, you have to pay what 755 00:36:33,320 --> 00:36:35,279 Speaker 2: is it thirteen something percent income tax to the state 756 00:36:35,320 --> 00:36:38,239 Speaker 2: of California. Okay, so what used to happen is that 757 00:36:38,239 --> 00:36:41,160 Speaker 2: that thirteen percent one hundred and thirty k roughly would 758 00:36:41,200 --> 00:36:46,400 Speaker 2: then get subtracted from your overall federal income taxable burden, 759 00:36:46,520 --> 00:36:50,120 Speaker 2: as in, you would then pay the top individual rate 760 00:36:50,560 --> 00:36:56,320 Speaker 2: after whatever cutoff on that eight hundred thousand dollars. Well, 761 00:36:56,440 --> 00:36:59,719 Speaker 2: the Tax Cuts and Jobs Act removed that so called 762 00:37:00,239 --> 00:37:03,960 Speaker 2: beneficiary and made it so that your taxable income at 763 00:37:04,000 --> 00:37:08,120 Speaker 2: the state level was no longer deductible from your overall 764 00:37:08,480 --> 00:37:13,760 Speaker 2: tax at the federal level. This massively hurts rich people. 765 00:37:13,840 --> 00:37:15,839 Speaker 2: So you actually tweeted out this graph, and it's very 766 00:37:15,880 --> 00:37:18,120 Speaker 2: beneficial to put this up there on the screen. For 767 00:37:18,160 --> 00:37:20,680 Speaker 2: the absolute vast majority of Americans, this does not matter 768 00:37:20,920 --> 00:37:22,920 Speaker 2: at all. But as you can see right here, the 769 00:37:24,000 --> 00:37:27,520 Speaker 2: benefits of assault cap. Basically what happened is they capped 770 00:37:27,520 --> 00:37:29,280 Speaker 2: it at just ten thousand dollars. 771 00:37:29,600 --> 00:37:31,000 Speaker 3: If you remove that. 772 00:37:31,000 --> 00:37:36,520 Speaker 2: Cap, you massively benefit people who make a lot high, 773 00:37:36,680 --> 00:37:40,080 Speaker 2: high dollar income. So we're not talking about carried interest, 774 00:37:40,200 --> 00:37:42,680 Speaker 2: we're not talking about stocks. We're talking about specifically people 775 00:37:42,840 --> 00:37:46,000 Speaker 2: who make over about a million dollars a year. So 776 00:37:46,040 --> 00:37:48,280 Speaker 2: what you could see here from the Tax Policy Center, 777 00:37:48,640 --> 00:37:51,760 Speaker 2: is after you pass the three hundred and sixty thousand level, 778 00:37:51,880 --> 00:37:55,279 Speaker 2: you start to save a ton of money, especially like 779 00:37:55,320 --> 00:37:56,800 Speaker 2: I just gave that example. 780 00:37:56,400 --> 00:37:57,640 Speaker 3: Some five million dollars. 781 00:37:57,800 --> 00:38:00,120 Speaker 2: Well you can imagine now you know, thirteen percent or 782 00:38:00,160 --> 00:38:03,799 Speaker 2: whatever of that five million then getting knocked off of 783 00:38:03,840 --> 00:38:06,600 Speaker 2: what you are eligible to them to pay for federal 784 00:38:06,600 --> 00:38:09,239 Speaker 2: income tax. We are now talking in the ballpark of 785 00:38:09,320 --> 00:38:13,080 Speaker 2: five figures. And so that is something which rich people 786 00:38:13,160 --> 00:38:16,440 Speaker 2: in Blue states and California, California and New York, but 787 00:38:16,480 --> 00:38:18,880 Speaker 2: New Jersey as well, and you know very other ones. 788 00:38:19,040 --> 00:38:22,919 Speaker 2: This is their number one priority has been now for 789 00:38:23,440 --> 00:38:27,320 Speaker 2: the last basically twenty seventeen, so the last like seven years. 790 00:38:28,000 --> 00:38:31,520 Speaker 2: Josh gottheimer famously, as we hear on the show, he 791 00:38:31,600 --> 00:38:35,080 Speaker 2: called himself mister Salt. He even said at one point 792 00:38:35,120 --> 00:38:39,440 Speaker 2: quote no salt, no dice, because I mean, people are up. 793 00:38:39,280 --> 00:38:40,480 Speaker 3: In arms over this. 794 00:38:40,600 --> 00:38:41,840 Speaker 4: I was on what was that? 795 00:38:41,960 --> 00:38:45,920 Speaker 2: This was during Built Back Better very both Anyway, Basically, 796 00:38:46,040 --> 00:38:47,200 Speaker 2: he tried to get it all through. 797 00:38:47,560 --> 00:38:50,160 Speaker 1: You tried to hold the whole thing hostage, just getting 798 00:38:50,200 --> 00:38:53,879 Speaker 1: this tax benefit for he represents New Jersey, yes, and 799 00:38:54,040 --> 00:38:56,080 Speaker 1: you know the rich people in his district. This was 800 00:38:56,160 --> 00:39:03,400 Speaker 1: priority number one. So I guess he's representing you in particular, because, 801 00:39:03,480 --> 00:39:07,279 Speaker 1: as that chart points out, the tld R. To make 802 00:39:07,320 --> 00:39:10,040 Speaker 1: this really simple, is that what Trump is floating here 803 00:39:10,120 --> 00:39:11,319 Speaker 1: is a major tax cut for. 804 00:39:11,280 --> 00:39:15,440 Speaker 2: The rich, specifically the Blue rich, the rich rich in 805 00:39:15,480 --> 00:39:16,040 Speaker 2: New York. 806 00:39:15,880 --> 00:39:20,520 Speaker 1: New Jersey, California, et cetera. And so, like you said, 807 00:39:20,640 --> 00:39:22,680 Speaker 1: this was something that was in the Tax Gets and 808 00:39:22,760 --> 00:39:24,920 Speaker 1: Jobs Act. It was controversial at the time because Democrats 809 00:39:24,920 --> 00:39:26,480 Speaker 1: were saying, like, oh, you're targeting our states. 810 00:39:26,840 --> 00:39:29,360 Speaker 3: I'm like, okay, so what and then it passes. 811 00:39:29,440 --> 00:39:31,839 Speaker 1: And not only that, but if you lift the cap 812 00:39:32,000 --> 00:39:33,799 Speaker 1: and then you know, you don't make it. It's it's 813 00:39:33,840 --> 00:39:35,320 Speaker 1: also like it's expensive. 814 00:39:35,360 --> 00:39:38,600 Speaker 3: It's extremely expensive because as I this. 815 00:39:38,600 --> 00:39:41,200 Speaker 4: Is I'm talking about, it's expensive for the federal government. 816 00:39:41,680 --> 00:39:45,080 Speaker 1: Excuse me, it adds significant amount to the deficit. Like 817 00:39:45,120 --> 00:39:48,160 Speaker 1: it is a very expensive benefit that you're talking about 818 00:39:48,239 --> 00:39:51,320 Speaker 1: giving to wealthy Blue state. 819 00:39:51,719 --> 00:39:55,760 Speaker 2: Because and again because wealthy people they may not pay 820 00:39:55,800 --> 00:39:59,440 Speaker 2: the same percentage, but they owe the vast majority of 821 00:39:59,520 --> 00:40:03,000 Speaker 2: the you know, is made up of a lot of 822 00:40:03,120 --> 00:40:06,080 Speaker 2: let's say, the top five percent of all households in 823 00:40:06,080 --> 00:40:08,080 Speaker 2: the United States. I forget the exact stats, but it 824 00:40:08,080 --> 00:40:10,840 Speaker 2: may be something like fifty and actually in Blue states. 825 00:40:10,920 --> 00:40:13,000 Speaker 2: Part of the other reason the Blue States hated it 826 00:40:13,040 --> 00:40:15,640 Speaker 2: is that New York in particular, especially in New York City, 827 00:40:15,840 --> 00:40:20,440 Speaker 2: they basically designed their entire tax in their entire tax strategy, 828 00:40:20,760 --> 00:40:24,400 Speaker 2: to rely on the top one hundred individuals in the 829 00:40:24,400 --> 00:40:26,200 Speaker 2: city of New York. So I think it's like the 830 00:40:26,239 --> 00:40:29,080 Speaker 2: top one hundred individuals in the city of New York 831 00:40:29,160 --> 00:40:32,240 Speaker 2: made up almost fifty percent of all taxation coming in 832 00:40:32,280 --> 00:40:33,280 Speaker 2: to the overall city. 833 00:40:33,320 --> 00:40:35,520 Speaker 3: So when just one of those people leaves, it's a disaster. 834 00:40:35,719 --> 00:40:39,640 Speaker 2: And what happened is that we had massive Blue state outflow, 835 00:40:39,760 --> 00:40:43,600 Speaker 2: specifically of the richest individuals. So for example, you had 836 00:40:43,680 --> 00:40:47,040 Speaker 2: Ken Griffin move his entire Cityldell operation. I think from 837 00:40:47,120 --> 00:40:51,040 Speaker 2: Chicago down to Miami. There's been multiple very very wealthy 838 00:40:51,400 --> 00:40:54,160 Speaker 2: individuals who change their permanent residents and they spend six 839 00:40:54,200 --> 00:40:56,560 Speaker 2: months in one day in Florida and in Texas, and 840 00:40:56,560 --> 00:40:59,120 Speaker 2: in fact, that's part of the major problems that they've had. 841 00:40:59,200 --> 00:41:01,160 Speaker 2: So one of the reasons that the Blue States have 842 00:41:01,160 --> 00:41:03,839 Speaker 2: been campaigning so hard is that they are getting hit 843 00:41:03,960 --> 00:41:07,640 Speaker 2: by this because of out migration of their wealthiest population. 844 00:41:07,680 --> 00:41:11,759 Speaker 1: And that is so David clan He was saying, look, 845 00:41:11,800 --> 00:41:14,040 Speaker 1: there is actually a progressive case. 846 00:41:14,000 --> 00:41:15,840 Speaker 4: For this blue state wealthy. 847 00:41:16,200 --> 00:41:17,719 Speaker 1: I just want to make the case, like to play 848 00:41:17,719 --> 00:41:19,719 Speaker 1: Devil's out of his her case, She says, I'm going 849 00:41:19,760 --> 00:41:21,879 Speaker 1: to stand up for salt on progressive grounds because someone 850 00:41:21,920 --> 00:41:24,080 Speaker 1: has to. It's good actually to incentivize the rich to 851 00:41:24,120 --> 00:41:26,799 Speaker 1: stay in states that tax them and provide services, rather 852 00:41:26,800 --> 00:41:29,480 Speaker 1: than encourage them to relocate to states that don't, enforcing 853 00:41:29,520 --> 00:41:32,640 Speaker 1: austerity in states that do so. He's basically saying, you know, 854 00:41:32,760 --> 00:41:37,280 Speaker 1: if you don't have this tax deductibility, then it incentivizes 855 00:41:37,320 --> 00:41:39,520 Speaker 1: a kind of race to the bottom in terms of 856 00:41:39,560 --> 00:41:41,440 Speaker 1: states just trying to cut their taxes as low as 857 00:41:41,440 --> 00:41:45,600 Speaker 1: possible provide very few services to their lower income population 858 00:41:46,160 --> 00:41:49,320 Speaker 1: in order to attract the you know, driven or whoever. 859 00:41:49,520 --> 00:41:50,919 Speaker 3: I'll give you the philosophical case. 860 00:41:50,960 --> 00:41:52,400 Speaker 2: I don't believe this, but i'll give it to you 861 00:41:52,440 --> 00:41:55,480 Speaker 2: as it has been made to me, is it's unfair 862 00:41:55,560 --> 00:41:58,960 Speaker 2: to tax money twice, which again I don't think that's right. 863 00:41:59,320 --> 00:42:03,200 Speaker 2: But the philosophical argument is like, look, you're paying thirteen 864 00:42:03,239 --> 00:42:05,440 Speaker 2: percent on a million, but then you're also paying for 865 00:42:06,320 --> 00:42:08,760 Speaker 2: what's the top individual rate like thirty seven or something. 866 00:42:08,800 --> 00:42:11,560 Speaker 2: Whichever part of your income is eligible for that thirty seven, 867 00:42:11,760 --> 00:42:14,440 Speaker 2: you're getting double taxed on that money, which means you're 868 00:42:14,440 --> 00:42:16,680 Speaker 2: effectively playing a much higher tax rate. 869 00:42:17,120 --> 00:42:18,680 Speaker 3: So that's the philosophical argument. 870 00:42:18,719 --> 00:42:21,799 Speaker 2: The practical argument also is that it incentivizes people not 871 00:42:21,840 --> 00:42:24,200 Speaker 2: to get paid cash. So what means is that a 872 00:42:24,200 --> 00:42:26,080 Speaker 2: lot of people in the Blue States and others, they 873 00:42:26,160 --> 00:42:28,640 Speaker 2: change their whole compensation structure, so they're like, look, I 874 00:42:28,640 --> 00:42:30,680 Speaker 2: don't want money anymore, pay me in stock, and then 875 00:42:30,719 --> 00:42:33,160 Speaker 2: I'll let it best and I'll just pay long term 876 00:42:33,320 --> 00:42:36,080 Speaker 2: capital gains, which is fifteen percent. It's a broader problem, 877 00:42:36,160 --> 00:42:38,920 Speaker 2: and it's generally indicative of how screwed up our entire 878 00:42:39,160 --> 00:42:43,520 Speaker 2: tax system is. But that's the only philosophical argument. Yeah, again, 879 00:42:43,600 --> 00:42:45,279 Speaker 2: I don't believe it. I mean, I just think that 880 00:42:45,719 --> 00:42:47,719 Speaker 2: especially I mean the type of people who make over 881 00:42:47,800 --> 00:42:50,520 Speaker 2: a million dollars a year. There's not a lot of 882 00:42:50,520 --> 00:42:53,239 Speaker 2: people who make a million dollars cash on their W 883 00:42:53,440 --> 00:42:56,520 Speaker 2: two per year. It might be I think it might 884 00:42:56,520 --> 00:42:58,960 Speaker 2: be less than a million people or households in the 885 00:42:59,120 --> 00:43:00,000 Speaker 2: entire United States. 886 00:43:00,120 --> 00:43:02,239 Speaker 1: I mean, to me, this argument makes sense in like 887 00:43:02,280 --> 00:43:04,239 Speaker 1: a broader contact if you were going to do a 888 00:43:04,239 --> 00:43:07,839 Speaker 1: whole overhaul, because the bottom line is, like people who 889 00:43:07,880 --> 00:43:12,080 Speaker 1: are making that level of income a year, they get 890 00:43:12,160 --> 00:43:14,120 Speaker 1: off with such a low tax rate. 891 00:43:14,280 --> 00:43:17,120 Speaker 4: You know, they really are. They have so. 892 00:43:17,120 --> 00:43:21,040 Speaker 1: Many loopholes that they're able to exploit. They typically pay 893 00:43:21,200 --> 00:43:24,080 Speaker 1: a lower rate than just like an average middle class person. 894 00:43:24,440 --> 00:43:26,520 Speaker 1: And so then it makes it very tough for me 895 00:43:26,560 --> 00:43:28,759 Speaker 1: to swallow, like, yeah, but we should still give them 896 00:43:28,800 --> 00:43:31,920 Speaker 1: this other tax benefit back that they previously had. So 897 00:43:33,239 --> 00:43:37,320 Speaker 1: broadly speaking, going back to like the Trump point of this, 898 00:43:37,320 --> 00:43:40,480 Speaker 1: this is very consistent with the way he has operated 899 00:43:40,560 --> 00:43:44,000 Speaker 1: in this campaign. I mean, it's been pretty shameless the 900 00:43:44,040 --> 00:43:48,200 Speaker 1: way that he has given his donor set whatever goodies 901 00:43:48,239 --> 00:43:51,799 Speaker 1: it is that they're looking for, whether it's consistent or 902 00:43:51,920 --> 00:43:54,640 Speaker 1: totally you know, opposite of what he said in the past. 903 00:43:54,840 --> 00:43:58,279 Speaker 1: This isn't very obvious example the complete one eighty on 904 00:43:58,360 --> 00:44:03,239 Speaker 1: Crypto another various, very obvious example going into room of 905 00:44:03,280 --> 00:44:05,680 Speaker 1: oil and gas executives and saying, give me a billion 906 00:44:05,760 --> 00:44:08,480 Speaker 1: dollars and I will cut the regulations and make it sure, 907 00:44:08,560 --> 00:44:11,240 Speaker 1: you know, make sure that your return on investment is rewarded. 908 00:44:11,520 --> 00:44:15,879 Speaker 1: I mean, it's just absolutely brazen and shameless. So I think, 909 00:44:15,960 --> 00:44:18,839 Speaker 1: you know, this falls into this category of he's got 910 00:44:18,880 --> 00:44:22,040 Speaker 1: some blue state billionaires who are on his team now, 911 00:44:22,080 --> 00:44:24,680 Speaker 1: and he's like, I'm going to deliver fishes because most 912 00:44:24,719 --> 00:44:27,400 Speaker 1: average people they're not even going to notice the like 913 00:44:27,800 --> 00:44:30,600 Speaker 1: salt part of that truth. But the people who it's 914 00:44:30,640 --> 00:44:33,279 Speaker 1: important to oh, trust me, this is number one. Trust me, 915 00:44:33,640 --> 00:44:35,480 Speaker 1: they are taking a look at that. They are noting 916 00:44:35,520 --> 00:44:36,760 Speaker 1: that very very strongly. 917 00:44:36,840 --> 00:44:39,200 Speaker 3: Absolutely, especially the two hundred and fifty k, the three hundred. 918 00:44:39,200 --> 00:44:41,480 Speaker 2: I mean, look, I guess again, I could make a 919 00:44:41,520 --> 00:44:43,560 Speaker 2: case here in DC if you make three hundred and 920 00:44:43,600 --> 00:44:47,319 Speaker 2: sixty grand, you're not actually that rich. I mean you are, like, 921 00:44:47,680 --> 00:44:50,480 Speaker 2: you're obviously way more rich than the vast majority all 922 00:44:50,480 --> 00:44:51,120 Speaker 2: of the Ericans. 923 00:44:51,719 --> 00:44:54,040 Speaker 3: Yeah, I'm not saying you're a freaking farmer, but you're not. 924 00:44:54,120 --> 00:44:54,600 Speaker 3: You're living. 925 00:44:54,760 --> 00:44:58,719 Speaker 2: I mean, for example, I remember looking at kavanaughs financials. 926 00:44:58,960 --> 00:45:02,800 Speaker 2: His his how or his household income was something like 927 00:45:02,840 --> 00:45:03,920 Speaker 2: three hundred and twenty k. 928 00:45:04,280 --> 00:45:05,799 Speaker 3: He is basically living. 929 00:45:05,640 --> 00:45:09,520 Speaker 2: Paycheck to paycheck between it was like NATS season tickets 930 00:45:09,760 --> 00:45:13,040 Speaker 2: to private school educations, and a very high mortgage on 931 00:45:13,120 --> 00:45:16,239 Speaker 2: a million dollar plus house. I see that a lot, 932 00:45:16,280 --> 00:45:18,120 Speaker 2: you know, with a lot of people in this area 933 00:45:18,160 --> 00:45:20,680 Speaker 2: in particular, just because the cost of living is so 934 00:45:20,680 --> 00:45:22,880 Speaker 2: so high. So for them, you know, a couple of 935 00:45:22,880 --> 00:45:24,920 Speaker 2: grand that they would be able to save actually is 936 00:45:25,239 --> 00:45:28,400 Speaker 2: kind of meaningful. So anyways, that is the latest Trump 937 00:45:28,880 --> 00:45:29,680 Speaker 2: flip flop. 938 00:45:30,000 --> 00:45:33,120 Speaker 1: We're also we're also getting some war on the concept 939 00:45:33,160 --> 00:45:36,799 Speaker 1: of a healthcare plan worth talking about. Let's just touch 940 00:45:36,800 --> 00:45:38,719 Speaker 1: on this quickly as well. I can put this up 941 00:45:38,719 --> 00:45:41,759 Speaker 1: on the screen from Axios. They wrote this up. They 942 00:45:41,800 --> 00:45:45,480 Speaker 1: said the Hill Gop anyway, is setting their sights on 943 00:45:45,560 --> 00:45:49,719 Speaker 1: scrapping drug price talks. So one of the accomplishments of 944 00:45:49,719 --> 00:45:52,520 Speaker 1: the Biden administration that is overwhelmingly popular in the comic 945 00:45:52,640 --> 00:45:56,040 Speaker 1: touts on the trail for good reason quite frequently is 946 00:45:56,080 --> 00:45:59,600 Speaker 1: on certain drugs. They are now able to negotiate with 947 00:45:59,640 --> 00:46:02,320 Speaker 1: the medic Care program to lower the cost of those 948 00:46:02,360 --> 00:46:06,080 Speaker 1: prescription drugs. Well, you have a lot of Republicans in 949 00:46:06,160 --> 00:46:09,839 Speaker 1: Congress who hate this because I mean by them, because 950 00:46:09,840 --> 00:46:12,680 Speaker 1: they're on the take from the pharmaceutical industry. But they 951 00:46:12,680 --> 00:46:15,319 Speaker 1: say it squash's innovation. Blah blah blah, that's what they say. 952 00:46:15,560 --> 00:46:18,520 Speaker 1: So anyway, they've made this a priority to try to 953 00:46:18,640 --> 00:46:21,600 Speaker 1: if Republicans are able to gain control, try to get 954 00:46:21,680 --> 00:46:24,360 Speaker 1: rid of even this. You know, it's a pretty modest reform, 955 00:46:24,400 --> 00:46:26,719 Speaker 1: frankly from the Biden administration because it only covers a 956 00:46:26,719 --> 00:46:30,359 Speaker 1: certain handful of drugs. But in the next administration, there's 957 00:46:30,400 --> 00:46:32,879 Speaker 1: an additional wave of drugs that would be subject to 958 00:46:32,920 --> 00:46:36,920 Speaker 1: this price negotiation to lower costs as long as the 959 00:46:37,080 --> 00:46:41,759 Speaker 1: law remains in place. So Trump hasn't said any thing. 960 00:46:41,800 --> 00:46:44,200 Speaker 1: You know, you use this as general rhetoric about pledging 961 00:46:44,239 --> 00:46:46,360 Speaker 1: to take on big farm of blah blah blah, but 962 00:46:46,640 --> 00:46:50,040 Speaker 1: he has not said actually anything specifically about the Republican 963 00:46:50,280 --> 00:46:53,560 Speaker 1: plans to roll back this. This was in the Inflation 964 00:46:53,640 --> 00:46:56,200 Speaker 1: Reduction Act, these Medicare drug price negotiations. 965 00:46:56,200 --> 00:46:57,000 Speaker 3: It'd be a huge fight. 966 00:46:57,080 --> 00:46:59,360 Speaker 2: I mean, if I recall Josh Holly actually put it 967 00:46:59,400 --> 00:47:02,280 Speaker 2: up fifty one on over forty nine in the Senate, 968 00:47:02,719 --> 00:47:06,319 Speaker 2: voted on behalf of flowing prescription drug price. This will 969 00:47:06,360 --> 00:47:08,840 Speaker 2: be a titanic fight. I just looked at it. I 970 00:47:08,840 --> 00:47:11,400 Speaker 2: couldn't find the exact voting record, but it looks like 971 00:47:11,440 --> 00:47:13,400 Speaker 2: he sponsored at least some bill. I believe he voted 972 00:47:13,440 --> 00:47:16,160 Speaker 2: on it on reconciliation because there was a whole Kirsten 973 00:47:16,200 --> 00:47:19,600 Speaker 2: Cinema showdown on this as well. The whole point is 974 00:47:19,600 --> 00:47:22,880 Speaker 2: that this will preview many of what the Trump admin. 975 00:47:23,200 --> 00:47:25,919 Speaker 2: Major fights are going to be. We just talked about 976 00:47:25,960 --> 00:47:29,160 Speaker 2: taxes and salt. Actually it's funny because if I were 977 00:47:29,200 --> 00:47:32,440 Speaker 2: to guess, Republicans would be much more likely not to 978 00:47:32,480 --> 00:47:35,919 Speaker 2: give him salt in favor of something like prescription drug prize. 979 00:47:35,920 --> 00:47:37,680 Speaker 2: They don't care about salt because it's abou Blue states 980 00:47:37,840 --> 00:47:39,719 Speaker 2: and they like it. They think it's funny to tax 981 00:47:39,719 --> 00:47:41,520 Speaker 2: blue states, even outside. 982 00:47:41,160 --> 00:47:44,680 Speaker 1: Of the like you know the Republicans that represent Long Island, right. 983 00:47:44,640 --> 00:47:47,200 Speaker 2: Yeah, outside of that, but in the Senate, specifically the Senate, 984 00:47:47,239 --> 00:47:50,960 Speaker 2: what matters the most in reconciliation. So then it comes 985 00:47:51,000 --> 00:47:54,320 Speaker 2: back to what their major priority would be. Drug price 986 00:47:54,360 --> 00:47:57,239 Speaker 2: would actually be probably much more on the table. You 987 00:47:57,280 --> 00:48:01,440 Speaker 2: should recall this. Both of these are incredibly expensive in 988 00:48:01,520 --> 00:48:03,920 Speaker 2: terms of the deficit. Like you just said, I mean, 989 00:48:03,960 --> 00:48:07,600 Speaker 2: I don't forget exactly. Remember the prescription drug price legislation 990 00:48:07,680 --> 00:48:10,560 Speaker 2: is frankly bs even the way that it's currently been enacted, 991 00:48:10,760 --> 00:48:12,400 Speaker 2: which is it only what is it only allows them 992 00:48:12,440 --> 00:48:15,719 Speaker 2: to negotiate the top ten drugs that Medicare buys, not 993 00:48:15,760 --> 00:48:18,400 Speaker 2: even all the drugs that Medicare buys, even though Medicare 994 00:48:18,480 --> 00:48:22,560 Speaker 2: is the largest purchaser of pharmaceuticals in the entire United States. 995 00:48:22,800 --> 00:48:25,880 Speaker 2: So every other what is it, PBM, you know, like 996 00:48:26,000 --> 00:48:28,160 Speaker 2: blue Cross, Blue Shield, they all get to negotiate, but 997 00:48:28,160 --> 00:48:28,839 Speaker 2: the government doesn't. 998 00:48:28,840 --> 00:48:30,759 Speaker 3: They just have to pay. Yeah, I mean it's a 999 00:48:30,880 --> 00:48:32,040 Speaker 3: ridiculous policy. 1000 00:48:32,040 --> 00:48:34,680 Speaker 1: It should obviously apply to all drugs, but I mean 1001 00:48:34,719 --> 00:48:36,640 Speaker 1: it's one of those things you're like, it's an improvement, 1002 00:48:36,719 --> 00:48:39,360 Speaker 1: and it genuinely is. And you know, the top drugs 1003 00:48:39,360 --> 00:48:43,280 Speaker 1: that they're negotiating, like, there's been a huge significant impact 1004 00:48:43,560 --> 00:48:46,520 Speaker 1: for seniors in particular Medicare recipients. 1005 00:48:46,880 --> 00:48:47,440 Speaker 4: It matters. 1006 00:48:47,560 --> 00:48:49,520 Speaker 1: I don't want to say it doesn't, but yeah, I mean, 1007 00:48:49,640 --> 00:48:52,759 Speaker 1: this is a very modest, modest reform, and you know, 1008 00:48:53,000 --> 00:48:57,320 Speaker 1: just to rebut directly the argument that Republicans and some Democrats, 1009 00:48:57,320 --> 00:48:59,239 Speaker 1: by the way, make who are on the take with 1010 00:48:59,280 --> 00:49:01,719 Speaker 1: pharmaceutical in history about this, like oh, they're not going 1011 00:49:01,760 --> 00:49:04,120 Speaker 1: to have the money for innovation, blah blah blah. First 1012 00:49:04,239 --> 00:49:06,319 Speaker 1: go and take a look at what we pay for 1013 00:49:06,360 --> 00:49:09,840 Speaker 1: these drugs versus everywhere else in the world, and you 1014 00:49:09,880 --> 00:49:14,480 Speaker 1: will be utterly disgusted. Why should our country be the 1015 00:49:14,560 --> 00:49:19,359 Speaker 1: piggy bank for these pharmaceutical giants, who are wildly profitable too, 1016 00:49:19,680 --> 00:49:26,279 Speaker 1: by the way. In addition, every single new drug molecule 1017 00:49:26,760 --> 00:49:30,480 Speaker 1: that has been invented in this century has been. 1018 00:49:30,360 --> 00:49:33,080 Speaker 4: With the aid of federal tax dollars. 1019 00:49:33,440 --> 00:49:37,759 Speaker 1: By and large, the research and development that these pharmaceutical 1020 00:49:37,760 --> 00:49:42,760 Speaker 1: giants are taken is like, let me reformulate viagra because 1021 00:49:42,800 --> 00:49:45,880 Speaker 1: it's very profitable, so that you know, it's a different 1022 00:49:45,920 --> 00:49:48,640 Speaker 1: dosage or it's a different delivery mechanism to try to. 1023 00:49:48,640 --> 00:49:50,080 Speaker 4: Extend patent life. 1024 00:49:50,560 --> 00:49:53,440 Speaker 1: That's a lot of the R and D type, you know, 1025 00:49:53,560 --> 00:49:57,320 Speaker 1: investments that they're making, not developing the new life saving 1026 00:49:57,360 --> 00:49:59,680 Speaker 1: blah blah blah, because that's risky. 1027 00:50:00,080 --> 00:50:01,279 Speaker 4: And by the way, you know. 1028 00:50:01,239 --> 00:50:03,880 Speaker 1: What, if not a lot of people have that incurable disease, 1029 00:50:03,880 --> 00:50:06,040 Speaker 1: then it's not going to be all that profitable. And 1030 00:50:06,120 --> 00:50:11,360 Speaker 1: so that's why public federal funding has been absolutely vital 1031 00:50:11,760 --> 00:50:15,440 Speaker 1: in the development of new drug molecules and drug company 1032 00:50:15,480 --> 00:50:18,239 Speaker 1: development not so much because they're driven by the profit 1033 00:50:18,280 --> 00:50:20,319 Speaker 1: motive and not you know what would actually be like 1034 00:50:20,880 --> 00:50:24,320 Speaker 1: most beneficial to society. So anyway, the talking points against 1035 00:50:24,320 --> 00:50:27,600 Speaker 1: this are total and complete bullshit. And one look at 1036 00:50:27,640 --> 00:50:30,640 Speaker 1: what we pay versus what the rest of the world plays. 1037 00:50:30,800 --> 00:50:31,520 Speaker 4: Should tell you that. 1038 00:50:34,280 --> 00:50:36,160 Speaker 2: Let's go to the next part about the Teamsters up 1039 00:50:36,239 --> 00:50:38,960 Speaker 2: this is actually really honestly, it is. 1040 00:50:38,920 --> 00:50:39,760 Speaker 3: A crazy development. 1041 00:50:39,800 --> 00:50:40,560 Speaker 4: It's very interesting. 1042 00:50:40,600 --> 00:50:41,839 Speaker 3: The first this is. 1043 00:50:41,800 --> 00:50:44,520 Speaker 2: The first time the Teamsters have not endorsed a Democrat 1044 00:50:44,560 --> 00:50:47,319 Speaker 2: since nineteen ninety six. So let's go ahead and put 1045 00:50:47,320 --> 00:50:50,120 Speaker 2: this up there on the screen. The Teamsters has announced 1046 00:50:50,120 --> 00:50:53,120 Speaker 2: they will not be making an endorsement in the presidential race. 1047 00:50:53,400 --> 00:50:55,880 Speaker 2: I'll go ahead and read here it says the General 1048 00:50:55,920 --> 00:50:58,560 Speaker 2: Executive Board of the International brother of Teamsters on Wednesday 1049 00:50:58,560 --> 00:51:02,520 Speaker 2: elected not to endorse any candidate for US president after 1050 00:51:02,560 --> 00:51:06,280 Speaker 2: reviewing six months of nationwide member polling, wrapping up nearly 1051 00:51:06,320 --> 00:51:10,120 Speaker 2: a year of rank and file roundtable interviews with major candidates, 1052 00:51:10,320 --> 00:51:13,520 Speaker 2: the union was left with few commitments on top Teamster 1053 00:51:13,600 --> 00:51:16,320 Speaker 2: issues from either President Trump or Vice President Kamala Harris, 1054 00:51:16,520 --> 00:51:19,360 Speaker 2: and found no definitive support amongst members for its parties 1055 00:51:19,400 --> 00:51:24,280 Speaker 2: nominee in data release publicly earlier this day, President Biden 1056 00:51:24,480 --> 00:51:27,600 Speaker 2: won the support of Teamsters voting in straw polls at 1057 00:51:27,640 --> 00:51:31,680 Speaker 2: local unions between April to July prior to his exit 1058 00:51:31,719 --> 00:51:35,120 Speaker 2: from the race, but an independent electronic and phone polling 1059 00:51:35,160 --> 00:51:38,360 Speaker 2: from July to September, A majority of voting members twice 1060 00:51:38,400 --> 00:51:42,600 Speaker 2: selected Trump for a possible Teamster's endorsement over Harris. The 1061 00:51:42,760 --> 00:51:46,000 Speaker 2: union's extensive member polling showed no majority support for Vice 1062 00:51:46,040 --> 00:51:49,320 Speaker 2: President Harris and no universal support amongst the membership for 1063 00:51:49,440 --> 00:51:52,279 Speaker 2: President Trump. He goes on to say, the Teamsters thanks 1064 00:51:52,280 --> 00:51:54,960 Speaker 2: call candidates for meeting with the members. So this is 1065 00:51:54,960 --> 00:51:58,280 Speaker 2: an extraordinary development, obviously for a couple of reasons. Traditionally 1066 00:51:58,320 --> 00:52:00,720 Speaker 2: the teams always just endorsed a Democrat at a candidate. 1067 00:52:00,920 --> 00:52:04,120 Speaker 2: But Sean O'Brien has made some interesting plays in the 1068 00:52:04,200 --> 00:52:07,279 Speaker 2: last couple of in the last couple of months, So 1069 00:52:07,600 --> 00:52:12,080 Speaker 2: he spoke at the RNC convention where which is kind 1070 00:52:12,080 --> 00:52:14,600 Speaker 2: of shocking. And not only did he speak at the 1071 00:52:14,719 --> 00:52:18,040 Speaker 2: RNC convention, he gave, you know, a blistering speech against 1072 00:52:18,320 --> 00:52:19,560 Speaker 2: corporate profiteering. 1073 00:52:19,600 --> 00:52:21,160 Speaker 3: The crowd kind of didn't know what to do with it. 1074 00:52:21,160 --> 00:52:23,560 Speaker 3: They were like, do we support this? You know, they're 1075 00:52:23,600 --> 00:52:25,200 Speaker 3: like some people were like yeah. 1076 00:52:25,400 --> 00:52:27,439 Speaker 2: The other people were like, I don't know what's going 1077 00:52:27,480 --> 00:52:29,600 Speaker 2: on with this communism here in the building. 1078 00:52:29,800 --> 00:52:32,720 Speaker 3: He's given interviews in the past. He was praised JD Vance. 1079 00:52:32,960 --> 00:52:33,640 Speaker 3: He praised. 1080 00:52:33,719 --> 00:52:36,040 Speaker 2: I believe Josh Holly, but he's put down people like 1081 00:52:36,280 --> 00:52:38,759 Speaker 2: Mitch McConnell and others with Trumpet was very much like 1082 00:52:38,800 --> 00:52:43,359 Speaker 2: a questioning agenda with Kamala previously. I mean, look, let's 1083 00:52:43,360 --> 00:52:46,680 Speaker 2: also be fair, he was relatively complimentary to Joe Biden 1084 00:52:47,040 --> 00:52:48,360 Speaker 2: when we had him here on the show. 1085 00:52:48,840 --> 00:52:50,080 Speaker 3: He'd been complimentary of that. 1086 00:52:50,400 --> 00:52:53,080 Speaker 2: He seemed to portray himself more as like a hard 1087 00:52:53,120 --> 00:52:56,120 Speaker 2: line like issues guy talking about the pro Act and others. 1088 00:52:56,280 --> 00:53:00,000 Speaker 2: We've interviewed him twice here in person. So regardless, I've 1089 00:53:00,000 --> 00:53:02,799 Speaker 2: aways found me to be an interesting character. But you know, 1090 00:53:02,920 --> 00:53:07,360 Speaker 2: this development is actually major, especially because I think it 1091 00:53:07,400 --> 00:53:10,640 Speaker 2: reveals a lot about cultural politics, something I've been talking 1092 00:53:10,640 --> 00:53:12,440 Speaker 2: about here a lot on the show. But you know, 1093 00:53:12,480 --> 00:53:15,799 Speaker 2: when you had some plus fifty percent majority of the 1094 00:53:15,840 --> 00:53:19,800 Speaker 2: Teamsters union members in that poll switched from Biden to Trump, 1095 00:53:20,120 --> 00:53:23,319 Speaker 2: you can't help but just say that's crazy, Like obviously 1096 00:53:23,560 --> 00:53:26,160 Speaker 2: we have and look, let's also be fair, teams is 1097 00:53:26,160 --> 00:53:29,359 Speaker 2: probably the most conservative union, not in terms of like 1098 00:53:29,640 --> 00:53:31,879 Speaker 2: the union itself, but its membership. 1099 00:53:32,280 --> 00:53:34,520 Speaker 3: It would makes sense, but among one. 1100 00:53:34,480 --> 00:53:36,839 Speaker 2: Of them these are white working class folks, so to 1101 00:53:36,920 --> 00:53:39,920 Speaker 2: be to be surprised that white working class people are 1102 00:53:39,960 --> 00:53:42,879 Speaker 2: supporting Trump at nearly a sixty to forty margin. That's 1103 00:53:42,920 --> 00:53:45,560 Speaker 2: not really a surprise in these days, but it does 1104 00:53:45,680 --> 00:53:48,399 Speaker 2: tell you the power of a lot of culture and 1105 00:53:48,520 --> 00:53:52,040 Speaker 2: how these individual union members have voted. Remember, Trump won 1106 00:53:52,120 --> 00:53:55,200 Speaker 2: some forty percent of the union vote back in twenty sixteen. 1107 00:53:55,239 --> 00:53:58,279 Speaker 2: He shocked everybody against Hillary. That was a way higher 1108 00:53:58,360 --> 00:54:02,200 Speaker 2: number under Barack Obama. So there is actually a lot analytically, 1109 00:54:02,320 --> 00:54:03,720 Speaker 2: this is a very interesting result. 1110 00:54:04,040 --> 00:54:07,439 Speaker 1: Yeah, your cultural point is really important. I saw someone 1111 00:54:07,440 --> 00:54:10,440 Speaker 1: tweet that this is a real blow for quote unquote deliverism, 1112 00:54:10,600 --> 00:54:13,600 Speaker 1: which is, you know, the theory of politics that I 1113 00:54:13,760 --> 00:54:16,880 Speaker 1: would like to believe was the way it actually works 1114 00:54:16,880 --> 00:54:19,600 Speaker 1: and probably isn't, in which if you deliver for a 1115 00:54:19,680 --> 00:54:23,600 Speaker 1: key constituency, they reward you. The one thing that in 1116 00:54:23,680 --> 00:54:27,480 Speaker 1: the Teamsters announcement they point to that's legitimate is they 1117 00:54:27,480 --> 00:54:30,200 Speaker 1: have some members that were impacted by that railway strike 1118 00:54:30,239 --> 00:54:31,719 Speaker 1: and the way the federal government came in with a 1119 00:54:31,760 --> 00:54:34,000 Speaker 1: heavy hand and crammed down, you know, a deal on 1120 00:54:34,040 --> 00:54:36,040 Speaker 1: them that they did not want and blocked any sort 1121 00:54:36,040 --> 00:54:37,960 Speaker 1: of continuing strike activity. 1122 00:54:38,200 --> 00:54:38,960 Speaker 4: That's legitimate. 1123 00:54:39,239 --> 00:54:42,200 Speaker 1: But if you you know, okay, and Trump also you know, 1124 00:54:42,239 --> 00:54:44,440 Speaker 1: would not commit to doing any better on that, So 1125 00:54:44,480 --> 00:54:46,600 Speaker 1: they're kind of like, you know, even on that one. 1126 00:54:47,320 --> 00:54:51,240 Speaker 1: On the pro Act, very clear, you know, Democrats, almost 1127 00:54:51,280 --> 00:54:54,360 Speaker 1: every Democrat supported the pro Act. Kamala Harris supports the Proact, 1128 00:54:54,400 --> 00:54:57,480 Speaker 1: Joe Biden also supports the pro Act. Donald Trump doesn't 1129 00:54:58,400 --> 00:55:01,440 Speaker 1: even more clear though this question of deliverism. 1130 00:55:01,920 --> 00:55:03,200 Speaker 4: Democrats, over the. 1131 00:55:03,160 --> 00:55:10,279 Speaker 1: Objections of every single Republican, saved the Teamsters pension as 1132 00:55:10,320 --> 00:55:13,960 Speaker 1: part of the American Rescue Plan. And you know, I 1133 00:55:14,400 --> 00:55:19,640 Speaker 1: know Teamsters members who were close to retirement where this 1134 00:55:19,800 --> 00:55:22,560 Speaker 1: was really quite existential for them. Their pension fund was 1135 00:55:22,719 --> 00:55:25,879 Speaker 1: totally screwed. They were looking at, you know, maybe I'm 1136 00:55:25,880 --> 00:55:27,520 Speaker 1: going to get a quarter of the pound I was 1137 00:55:27,719 --> 00:55:29,799 Speaker 1: promised that I worked hard. 1138 00:55:29,600 --> 00:55:31,640 Speaker 4: For my entire life and career. 1139 00:55:32,200 --> 00:55:35,240 Speaker 1: And it was Democrats, led by Joe Biden Kamala Harris, 1140 00:55:35,520 --> 00:55:40,000 Speaker 1: who again over the votes of every single Republican, made 1141 00:55:40,040 --> 00:55:44,160 Speaker 1: sure that that pension fund was made whole so Teamster's 1142 00:55:44,200 --> 00:55:47,560 Speaker 1: retirees would be able to retire with you know, the 1143 00:55:47,800 --> 00:55:50,319 Speaker 1: levels of funding that they had worked for and had 1144 00:55:50,400 --> 00:55:55,239 Speaker 1: been promised. So yeah, when you you know, I think 1145 00:55:55,280 --> 00:55:57,239 Speaker 1: there's a lot to say here. I mean, first of all, 1146 00:55:57,360 --> 00:56:01,279 Speaker 1: Sean O'Brien, how strongly did he, you know, educate his 1147 00:56:01,360 --> 00:56:04,960 Speaker 1: members about the disparity between the Republicans and the Democrats 1148 00:56:05,000 --> 00:56:08,200 Speaker 1: on that issue by going to the Republican convention Even 1149 00:56:08,239 --> 00:56:11,520 Speaker 1: though he wasn't just like flowery towards Republicans, he really 1150 00:56:11,560 --> 00:56:13,520 Speaker 1: gave them a kind of a talking point, and I 1151 00:56:13,560 --> 00:56:16,960 Speaker 1: think also didn't do an effective job of educating on 1152 00:56:17,120 --> 00:56:21,040 Speaker 1: the very clear disparity between Democrats and Republicans just purely 1153 00:56:21,200 --> 00:56:25,120 Speaker 1: on labor issues. Then with regard to the difference in 1154 00:56:25,600 --> 00:56:29,160 Speaker 1: how the membership voted between Joe Biden and Kamala Harris Yew, 1155 00:56:29,200 --> 00:56:31,160 Speaker 1: on the one hand, you're like, this is perplexing because 1156 00:56:31,200 --> 00:56:33,680 Speaker 1: they're in the same administration. On the other hand, saga 1157 00:56:33,719 --> 00:56:36,080 Speaker 1: to your point on the culture like Joe Biden reads's 1158 00:56:36,160 --> 00:56:39,439 Speaker 1: moderate old white guy, Kamala aras black woman who has 1159 00:56:39,560 --> 00:56:42,439 Speaker 1: a more progressive record, comes from California, et. 1160 00:56:42,360 --> 00:56:45,359 Speaker 4: Cetera, etc. It's hard to think that it's anything. 1161 00:56:45,040 --> 00:56:49,520 Speaker 1: Other than that cultural vote, given that on labor they 1162 00:56:49,600 --> 00:56:52,640 Speaker 1: have an identical record and posture. 1163 00:56:52,800 --> 00:56:54,160 Speaker 3: I mean, I guess the case you could make. 1164 00:56:54,200 --> 00:56:57,160 Speaker 2: We had teams as president on talk about Gavin Newsom 1165 00:56:57,600 --> 00:56:59,640 Speaker 2: a lot of the teams just people hate California. They 1166 00:56:59,640 --> 00:57:01,719 Speaker 2: don't like Avin for signing what was it that bill 1167 00:57:01,760 --> 00:57:05,040 Speaker 2: about driverless cars that he overruled. 1168 00:57:04,600 --> 00:57:07,319 Speaker 3: The Teamsters on. That's the last time we talked about. No. 1169 00:57:07,360 --> 00:57:11,120 Speaker 2: I'm just they're like, look, she's some California Stilicon Valley, 1170 00:57:11,239 --> 00:57:12,960 Speaker 2: you know, liberal, which is kind of true. 1171 00:57:13,520 --> 00:57:15,759 Speaker 1: Her record on unions is rock solid, though, you know, 1172 00:57:15,800 --> 00:57:19,200 Speaker 1: and Trump's record on unions was horrific. So there's a 1173 00:57:19,240 --> 00:57:23,080 Speaker 1: lot of debate, and always there's a lot of criticism 1174 00:57:23,360 --> 00:57:26,600 Speaker 1: when unions come out and endorse like lefty causes like 1175 00:57:26,640 --> 00:57:29,520 Speaker 1: the ua W came down and you know, in favor 1176 00:57:29,560 --> 00:57:31,080 Speaker 1: of a ceasefire in Gaza. 1177 00:57:31,080 --> 00:57:32,760 Speaker 4: A number of other unions did as well. 1178 00:57:33,080 --> 00:57:34,880 Speaker 1: And there's always this refrain from the right of like, 1179 00:57:34,960 --> 00:57:37,120 Speaker 1: just stick to the policy, stick to wages, stick to 1180 00:57:37,240 --> 00:57:40,880 Speaker 1: like what you're focused on. And here it almost feels 1181 00:57:40,880 --> 00:57:43,560 Speaker 1: like the reverse because again, if you're just looking at 1182 00:57:43,560 --> 00:57:47,480 Speaker 1: the issues, it's really not close between the Democrats and Republicans. 1183 00:57:47,760 --> 00:57:53,120 Speaker 1: I actually I not only understand, but I support unions 1184 00:57:53,280 --> 00:57:57,040 Speaker 1: withholding their support for Democrats who don't deliver for them. 1185 00:57:57,520 --> 00:58:00,880 Speaker 1: But this administration, the Biden Harris administration, and I have 1186 00:58:00,920 --> 00:58:02,640 Speaker 1: a million other critiques of them that you guys hear 1187 00:58:02,680 --> 00:58:05,600 Speaker 1: on the show all the time. On labor, they were 1188 00:58:05,640 --> 00:58:10,040 Speaker 1: not perfect. They are by far, by far the best 1189 00:58:10,080 --> 00:58:12,440 Speaker 1: administration on labor in my lifetime. 1190 00:58:12,560 --> 00:58:13,760 Speaker 4: It's not even close. 1191 00:58:14,280 --> 00:58:17,360 Speaker 1: Way better than Obama, way better than Clinton, obviously, way 1192 00:58:17,360 --> 00:58:21,440 Speaker 1: better than every Republican. So yeah, that's what's like depressing 1193 00:58:21,440 --> 00:58:23,280 Speaker 1: to me about it is because I would like the 1194 00:58:23,280 --> 00:58:26,000 Speaker 1: politics of deliverism to be a real thing. The fact 1195 00:58:26,040 --> 00:58:29,880 Speaker 1: that on a very specific, really important, very tangible issue, 1196 00:58:30,240 --> 00:58:32,280 Speaker 1: this administration delivered for this union. 1197 00:58:32,360 --> 00:58:34,880 Speaker 4: And then you know, they get slapped in the face. 1198 00:58:34,920 --> 00:58:37,200 Speaker 1: What incentive does it give them in the future for 1199 00:58:37,440 --> 00:58:40,160 Speaker 1: just talking like naked political manoeuvering. What incentive does it 1200 00:58:40,200 --> 00:58:42,280 Speaker 1: give them in the future to go to the mat 1201 00:58:42,320 --> 00:58:45,320 Speaker 1: and expend political capital in a similar fight when it's 1202 00:58:45,480 --> 00:58:46,440 Speaker 1: clearly not rewarded. 1203 00:58:47,080 --> 00:58:50,000 Speaker 2: Yes, but you know, Union's job is to represent as 1204 00:58:50,040 --> 00:58:53,160 Speaker 2: members members close port Trump, you know, at least right now, 1205 00:58:53,200 --> 00:58:55,680 Speaker 2: and so maybe the wash is the best that you 1206 00:58:55,760 --> 00:58:58,880 Speaker 2: are going to get when they're like, Okay, our members 1207 00:58:59,000 --> 00:59:01,600 Speaker 2: clearly are support of one candidate. We don't necessarily think 1208 00:59:01,600 --> 00:59:03,760 Speaker 2: that candidates can deliver us on a policy level. But 1209 00:59:03,800 --> 00:59:05,880 Speaker 2: we can't turn around and support somebody who's got only 1210 00:59:05,920 --> 00:59:08,360 Speaker 2: forty percent of our membership. At the end of the day, 1211 00:59:08,480 --> 00:59:12,200 Speaker 2: organizations at least are quasi democratic. This is probably the 1212 00:59:12,240 --> 00:59:15,439 Speaker 2: best result, you know, that Kamala could have gotten if 1213 00:59:15,480 --> 00:59:18,840 Speaker 2: the majority, vast majority actually in this particular case, are 1214 00:59:18,880 --> 00:59:22,000 Speaker 2: supportive of Donald Trump. I do think it also is 1215 00:59:22,040 --> 00:59:25,400 Speaker 2: an indicative of just what cultural politics look like and 1216 00:59:25,520 --> 00:59:26,680 Speaker 2: mean today. If you were going to go if I 1217 00:59:26,720 --> 00:59:29,000 Speaker 2: would probably go ask these teams just guys were like, look, 1218 00:59:29,000 --> 00:59:31,280 Speaker 2: why do you guys support Trump? I pretty much guarantee 1219 00:59:31,320 --> 00:59:33,360 Speaker 2: you mcgrade's can be number one at the top of 1220 00:59:33,400 --> 00:59:36,160 Speaker 2: that list, which they clearly could have major beef with 1221 00:59:36,400 --> 00:59:39,120 Speaker 2: the with the Biden Harris administration. 1222 00:59:38,640 --> 00:59:40,080 Speaker 3: So that actually validates the thing. 1223 00:59:40,120 --> 00:59:41,960 Speaker 2: A lot of what we talk about here is that, look, 1224 00:59:42,040 --> 00:59:44,120 Speaker 2: worker issues is not just the pro act. You know, 1225 00:59:44,160 --> 00:59:46,720 Speaker 2: a lot of people were actually white working class people. 1226 00:59:46,920 --> 00:59:49,280 Speaker 2: They don't necessarily care as much about that as they 1227 00:59:49,320 --> 00:59:52,800 Speaker 2: do a widespread, you know, amount of issues. I also 1228 00:59:52,840 --> 00:59:55,440 Speaker 2: think that this is just part of the further class 1229 00:59:55,440 --> 00:59:59,600 Speaker 2: realignment where we have where regardless of individual issues, the 1230 00:59:59,720 --> 01:00:03,480 Speaker 2: over all cultural orientation of the Democratic Party is trending 1231 01:00:03,520 --> 01:00:08,400 Speaker 2: towards white upper class voters, and the overall cultural orientation 1232 01:00:08,760 --> 01:00:12,120 Speaker 2: of the Republican Party is white working class voters. The 1233 01:00:12,240 --> 01:00:16,960 Speaker 2: interesting thing is that various races began to split them 1234 01:00:17,160 --> 01:00:20,440 Speaker 2: between Democrat and Republican based on their educational level. 1235 01:00:20,720 --> 01:00:21,400 Speaker 3: And I love this. 1236 01:00:21,760 --> 01:00:23,640 Speaker 2: I just see a poll this morning from New York Times, 1237 01:00:23,680 --> 01:00:28,600 Speaker 2: siena high quality Harris Trump tied at the national level. Yeah, terrible, 1238 01:00:29,400 --> 01:00:31,320 Speaker 2: Harris up by four in Pennsylvania. 1239 01:00:31,400 --> 01:00:31,960 Speaker 4: I know why. 1240 01:00:32,160 --> 01:00:36,360 Speaker 2: White people, white people in the mainline suburbs of Philly 1241 01:00:36,400 --> 01:00:40,120 Speaker 2: who all went to college, probably working pharma or banking 1242 01:00:40,560 --> 01:00:44,520 Speaker 2: or actually right now, Pennsylvania is exploding in healthcare. So 1243 01:00:44,560 --> 01:00:47,440 Speaker 2: it's like this was a bunch of rich doctors and 1244 01:00:47,600 --> 01:00:49,680 Speaker 2: nurses who are pro comma. 1245 01:00:49,720 --> 01:00:50,600 Speaker 3: Now, I actually love. 1246 01:00:50,520 --> 01:00:54,280 Speaker 2: That result just because again it demonstrates, like what, First 1247 01:00:54,320 --> 01:00:55,720 Speaker 2: of all, it validates a lot of stuff that we 1248 01:00:55,720 --> 01:00:59,280 Speaker 2: say here about class dynamics and orientation. But it also 1249 01:00:59,440 --> 01:01:04,280 Speaker 2: just shows you how different the current electorate is from 1250 01:01:04,320 --> 01:01:06,720 Speaker 2: the past, and then the various ways that things look. 1251 01:01:06,800 --> 01:01:08,840 Speaker 2: So we talked about salt, right, well, now we have 1252 01:01:09,200 --> 01:01:12,040 Speaker 2: two pro salt candidates, So rich people in blue states 1253 01:01:12,160 --> 01:01:13,120 Speaker 2: should be very happy. 1254 01:01:13,680 --> 01:01:14,640 Speaker 3: Now we also. 1255 01:01:14,800 --> 01:01:16,640 Speaker 1: Actually do we know where Kamo stands on salt. I 1256 01:01:16,640 --> 01:01:18,400 Speaker 1: don't sure that we do. I don't know that she 1257 01:01:18,440 --> 01:01:19,320 Speaker 1: does support. 1258 01:01:19,000 --> 01:01:22,640 Speaker 2: It, but anyway, most Democrats know they don't. A California 1259 01:01:22,720 --> 01:01:24,680 Speaker 2: Democrats don't salt. 1260 01:01:25,520 --> 01:01:29,160 Speaker 1: It was like a fairly small group the Gottheimer group 1261 01:01:29,240 --> 01:01:32,440 Speaker 1: let me find this, that was trying to reinstate the or. 1262 01:01:32,440 --> 01:01:34,960 Speaker 4: To lift the salt tax cap. But I don't know. 1263 01:01:35,000 --> 01:01:36,560 Speaker 1: I don't think they never put out a position. I 1264 01:01:36,560 --> 01:01:38,560 Speaker 1: don't actually think that she does support it. I would 1265 01:01:38,600 --> 01:01:41,160 Speaker 1: be shocked because the administration, at least the bid Harris 1266 01:01:41,200 --> 01:01:43,320 Speaker 1: administration wasn't supportive of it. 1267 01:01:43,360 --> 01:01:45,240 Speaker 2: That's right, but Joe Biden was not. But I guess 1268 01:01:45,440 --> 01:01:47,520 Speaker 2: is Delaware. I think it's a lower tax state and 1269 01:01:47,560 --> 01:01:50,040 Speaker 2: it doesn't matter. But my point is just at least 1270 01:01:50,040 --> 01:01:52,720 Speaker 2: Trump is now pro salt. But on the union front, 1271 01:01:52,800 --> 01:01:55,080 Speaker 2: I mean, I do think at a discrete policy level, 1272 01:01:55,120 --> 01:01:57,400 Speaker 2: this is going to have some impact where a lot 1273 01:01:57,440 --> 01:01:59,040 Speaker 2: of Democrats you know, in the future, are going to 1274 01:01:59,040 --> 01:02:00,400 Speaker 2: be like, look, if you got a bunch of white 1275 01:02:00,440 --> 01:02:04,120 Speaker 2: specifically a majority white union and they're not college educated, 1276 01:02:04,160 --> 01:02:06,200 Speaker 2: the likelihood that they don't support you is going to 1277 01:02:06,240 --> 01:02:08,600 Speaker 2: be very high and that will have some impact. That's 1278 01:02:08,640 --> 01:02:11,200 Speaker 2: straight up, that's what the future will look like. I 1279 01:02:11,200 --> 01:02:14,040 Speaker 2: guess the converse is, I would hope, you know, if 1280 01:02:14,040 --> 01:02:15,840 Speaker 2: you're a Republican, that you look at this too and 1281 01:02:15,880 --> 01:02:18,400 Speaker 2: you're like, hey, we could actually get some votes over here. 1282 01:02:18,920 --> 01:02:20,800 Speaker 2: So maybe one or two you got JD in the 1283 01:02:20,800 --> 01:02:23,200 Speaker 2: White if he wins, he is in the White House, 1284 01:02:23,440 --> 01:02:25,280 Speaker 2: this would be a chit that him and his staff 1285 01:02:25,320 --> 01:02:27,439 Speaker 2: would be able to use if they were talking about 1286 01:02:27,480 --> 01:02:30,479 Speaker 2: teamsters and they were up against let's say a Larry 1287 01:02:30,520 --> 01:02:33,240 Speaker 2: Cudlow across from the desk, and they could remind someone 1288 01:02:33,280 --> 01:02:35,720 Speaker 2: like Trump, which way will Trump go? No clue evidence 1289 01:02:35,760 --> 01:02:38,680 Speaker 2: suggests probably in the Cudlow direction, but you never know. 1290 01:02:38,840 --> 01:02:41,400 Speaker 1: I mean, Trump won't hesitate to throw Sean O'Brien on 1291 01:02:41,440 --> 01:02:43,520 Speaker 1: the teamsters under the bus the moment that it conflicts 1292 01:02:43,520 --> 01:02:45,640 Speaker 1: with you know, Bill Lackman or whoever whatever. 1293 01:02:45,760 --> 01:02:48,200 Speaker 3: Maybe I don't know that's true. I mean, we loves 1294 01:02:48,240 --> 01:02:48,680 Speaker 3: the unions. 1295 01:02:48,840 --> 01:02:51,800 Speaker 1: Judging by past record, you know, that's what we have 1296 01:02:51,920 --> 01:02:54,760 Speaker 1: to go on. He didn't move any of his positions 1297 01:02:54,920 --> 01:02:59,800 Speaker 1: on unions, and he's a lifelong union buster. Actually, remember 1298 01:02:59,800 --> 01:03:02,600 Speaker 1: when Trump and Elon were like joking about how awesome 1299 01:03:02,600 --> 01:03:05,360 Speaker 1: and cool it was, that Elon fired striking workers. Sean 1300 01:03:05,400 --> 01:03:09,600 Speaker 1: O'Brien came out and called that economic terrorist. And that's 1301 01:03:09,600 --> 01:03:13,360 Speaker 1: the guy you're you know, you're of coursing him, but 1302 01:03:13,680 --> 01:03:16,320 Speaker 1: you're giving him a big talking point that he's celebrating. 1303 01:03:16,360 --> 01:03:19,200 Speaker 4: So let's listen. I think, you know, I hope it 1304 01:03:19,240 --> 01:03:19,960 Speaker 4: works out for you. 1305 01:03:20,000 --> 01:03:22,640 Speaker 2: We have Trump's comments actually on this B eight. Please 1306 01:03:22,720 --> 01:03:24,280 Speaker 2: let's take a listen this President. 1307 01:03:24,320 --> 01:03:26,440 Speaker 9: Any reaction to the Teamsters decision. 1308 01:03:26,160 --> 01:03:26,880 Speaker 10: Not to endorse. 1309 01:03:27,640 --> 01:03:28,280 Speaker 9: No, they are. 1310 01:03:28,600 --> 01:03:29,440 Speaker 6: It's a great honor. 1311 01:03:29,520 --> 01:03:32,880 Speaker 8: They're not going to endorse the Democrats. That's a big thing. 1312 01:03:33,600 --> 01:03:35,960 Speaker 8: And this is the first time, and I guess fifty 1313 01:03:36,040 --> 01:03:39,400 Speaker 8: sixty years that that's happened. Democrats automatically have the team series. 1314 01:03:40,160 --> 01:03:41,680 Speaker 8: They took a voter and I guess I was at 1315 01:03:41,680 --> 01:03:44,560 Speaker 8: sixty percent or more. And that's a great honor. 1316 01:03:44,600 --> 01:03:46,360 Speaker 9: I mean, it's really I've. 1317 01:03:46,320 --> 01:03:47,920 Speaker 8: Had a lot of Teamsters work for I mean a 1318 01:03:47,920 --> 01:03:50,080 Speaker 8: lot of the concrete trucks, and we built all these 1319 01:03:50,120 --> 01:03:53,280 Speaker 8: buildings that you see in New York City the teamsters there, you. 1320 01:03:53,280 --> 01:03:55,520 Speaker 1: Go, a great honor to not be endorsed by the 1321 01:03:55,560 --> 01:04:03,440 Speaker 1: tess All right, let's go and move on to shocking 1322 01:04:03,600 --> 01:04:07,440 Speaker 1: new details. That we're learning about this federal indictment against 1323 01:04:07,520 --> 01:04:09,760 Speaker 1: Sean Ditty Combs, So you can put this up on 1324 01:04:09,800 --> 01:04:12,880 Speaker 1: the screen tear sheet with some of the details. He's 1325 01:04:12,920 --> 01:04:17,640 Speaker 1: been denied bail. This is per variety. Sean did he 1326 01:04:17,680 --> 01:04:20,440 Speaker 1: cums and I bail on sex trafficking and racketeering charges. 1327 01:04:20,480 --> 01:04:23,520 Speaker 1: So he was charged with three counts racketeering, conspiracy, sex 1328 01:04:23,560 --> 01:04:27,560 Speaker 1: trafficking by force, fraud or coercion, and transportation to engage 1329 01:04:27,560 --> 01:04:31,240 Speaker 1: in prostitution. The judge decided there were no conditions that 1330 01:04:31,280 --> 01:04:33,840 Speaker 1: could guarantee Comb's appearance in court. She said she considered 1331 01:04:33,880 --> 01:04:37,200 Speaker 1: alternatives like home detention, substantial bond offered by Combs, but 1332 01:04:37,280 --> 01:04:40,520 Speaker 1: ultimately concluded that the presumption in favor of detention has 1333 01:04:40,600 --> 01:04:42,640 Speaker 1: not been rebutted by the defense. 1334 01:04:43,960 --> 01:04:44,560 Speaker 4: Makes sense. 1335 01:04:44,960 --> 01:04:48,360 Speaker 1: This is a man with nearly endless resources. You know, 1336 01:04:48,440 --> 01:04:50,560 Speaker 1: if anyone was going to be a flight risk, seems 1337 01:04:50,600 --> 01:04:52,439 Speaker 1: like it would be him. In fact, I'm a little 1338 01:04:52,440 --> 01:04:54,840 Speaker 1: bit shocked he didn't already try to flee knowing that 1339 01:04:54,920 --> 01:04:58,360 Speaker 1: this was coming. But he is pled not guilty, and 1340 01:04:58,640 --> 01:05:00,840 Speaker 1: is I guess going to have his day in court. 1341 01:05:01,480 --> 01:05:03,400 Speaker 4: Let's put the next details. 1342 01:05:03,040 --> 01:05:05,720 Speaker 1: Up on the screen from the indictment, which I read 1343 01:05:05,720 --> 01:05:09,600 Speaker 1: in full. Its fourteen page indictment not overly lengthy. So 1344 01:05:09,680 --> 01:05:11,600 Speaker 1: this is what the grand jury charged. As I said, 1345 01:05:11,600 --> 01:05:14,440 Speaker 1: it was three counts racketeering, conspiracy, sex trafficking by force, 1346 01:05:14,840 --> 01:05:16,080 Speaker 1: and transportation to. 1347 01:05:16,120 --> 01:05:17,160 Speaker 4: Engage in prostitution. 1348 01:05:17,520 --> 01:05:19,600 Speaker 1: Go ahead, guys, and put up some of the next 1349 01:05:19,600 --> 01:05:21,880 Speaker 1: details so that I can read this off of the screen. 1350 01:05:22,440 --> 01:05:26,760 Speaker 1: So the core of this, the allegations here involve these 1351 01:05:26,800 --> 01:05:30,720 Speaker 1: quote unquote freak offs, and they say in the indictment 1352 01:05:30,760 --> 01:05:35,560 Speaker 1: that he subjected victims to physical, emotional and verbal abuse 1353 01:05:35,840 --> 01:05:38,600 Speaker 1: to force them to engage in these freakoffs. He maintained 1354 01:05:38,680 --> 01:05:44,880 Speaker 1: control over his victims through physical violence, promises of career opportunities, 1355 01:05:45,160 --> 01:05:48,640 Speaker 1: granting and threatening to withhold financial support by other cours 1356 01:05:48,760 --> 01:05:53,440 Speaker 1: of means, including tracking their whereabouts, dictating their appearance, monitoring 1357 01:05:53,480 --> 01:05:58,000 Speaker 1: their medical records, controlling their housing, and also supplying them 1358 01:05:58,160 --> 01:06:01,640 Speaker 1: with drugs during and separate from freakofs colms, among other things, 1359 01:06:01,880 --> 01:06:05,800 Speaker 1: Hit kicked through objects, at and dragged victims, at times. 1360 01:06:05,520 --> 01:06:06,000 Speaker 4: By their hair. 1361 01:06:06,080 --> 01:06:09,080 Speaker 1: These assaults resulted in injuries that took days or weeks 1362 01:06:09,120 --> 01:06:12,480 Speaker 1: to heal. He threatened their careers and livelihoods, including if 1363 01:06:12,520 --> 01:06:16,080 Speaker 1: they resisted participating in the quote unquote freak offs. Victims 1364 01:06:16,120 --> 01:06:18,680 Speaker 1: beliefs they could not refuse his demands without risking their 1365 01:06:18,720 --> 01:06:21,480 Speaker 1: financial or job security or without repercussions in the form 1366 01:06:21,520 --> 01:06:25,040 Speaker 1: of physical or emotional abuse. Comes also used the sensitive, 1367 01:06:25,040 --> 01:06:28,040 Speaker 1: embarrassing and incriminating recordings that he made during freak Offs 1368 01:06:28,040 --> 01:06:31,880 Speaker 1: as collateral to ensure the continued obedience and silence of 1369 01:06:31,920 --> 01:06:35,479 Speaker 1: the victims. Sogra If you read through the indictment, yes, 1370 01:06:35,560 --> 01:06:38,120 Speaker 1: this is you know, Sean Combs is at. 1371 01:06:37,520 --> 01:06:40,960 Speaker 4: The center of it. But they really framed. 1372 01:06:40,720 --> 01:06:44,920 Speaker 1: This as a you know, years long, we know, decades long, 1373 01:06:44,960 --> 01:06:50,120 Speaker 1: allegedly criminal enterprise. So Bad Boy Records was not just 1374 01:06:50,160 --> 01:06:53,200 Speaker 1: about you know, media, entertainment, culture, et cetera. They frame 1375 01:06:53,280 --> 01:06:56,840 Speaker 1: a core priority of Bad Boy Records being you know, 1376 01:06:57,480 --> 01:07:04,000 Speaker 1: this repeated system abuse and the cover up of that 1377 01:07:04,120 --> 01:07:07,320 Speaker 1: abuse being at the core of the enterprise. And really, 1378 01:07:07,360 --> 01:07:09,000 Speaker 1: I mean this is this is a portrait of a 1379 01:07:09,040 --> 01:07:11,840 Speaker 1: monster that you're looking at here. And what's being alleged, 1380 01:07:12,320 --> 01:07:15,600 Speaker 1: he says, he's not guilty. What's being alleged is wholly 1381 01:07:15,680 --> 01:07:20,360 Speaker 1: consistent with what Cassie, the R and B singer alleged 1382 01:07:20,760 --> 01:07:23,080 Speaker 1: he had done to her, and of course we saw 1383 01:07:23,160 --> 01:07:26,360 Speaker 1: in the public domain that horrifying video of her being 1384 01:07:26,520 --> 01:07:30,480 Speaker 1: beaten and dragged in a hotel hallway that comes up 1385 01:07:30,520 --> 01:07:32,600 Speaker 1: in this indictment, and they also talk about how he 1386 01:07:32,640 --> 01:07:36,000 Speaker 1: paid off a hotel worker to make sure that that 1387 01:07:36,440 --> 01:07:37,240 Speaker 1: never saw the light of it. 1388 01:07:37,360 --> 01:07:39,320 Speaker 2: Yeah, that's right, and included, by the way, in the 1389 01:07:39,360 --> 01:07:43,800 Speaker 2: search of his home they found narcotics videos, three AR 1390 01:07:43,880 --> 01:07:47,520 Speaker 2: fifteens with defaced serial numbers, and quote, more than one 1391 01:07:47,560 --> 01:07:51,160 Speaker 2: thousand bottles of baby oil and lubricant that that were 1392 01:07:51,200 --> 01:07:55,160 Speaker 2: called freakoff supplies. His employees were instructed to ensure that 1393 01:07:55,240 --> 01:07:58,600 Speaker 2: quote Freakoffs were always stocked with baby oil. 1394 01:07:58,280 --> 01:07:59,480 Speaker 3: Linens and lighting. 1395 01:08:00,120 --> 01:08:04,120 Speaker 2: Enforcement seized multiple of those supplies as evidence in both 1396 01:08:04,120 --> 01:08:07,480 Speaker 2: of his homes of not only his proclivities, but obviously 1397 01:08:07,520 --> 01:08:11,640 Speaker 2: what they allege is basically a scheme arranging for victims 1398 01:08:11,760 --> 01:08:14,600 Speaker 2: of sex workers and others to be able to move 1399 01:08:14,720 --> 01:08:18,639 Speaker 2: about the country and enable him to continue this scheme. 1400 01:08:18,680 --> 01:08:21,320 Speaker 2: I will say, this really does actually validate a lot 1401 01:08:21,320 --> 01:08:24,040 Speaker 2: of the details in terms of like forcing a lot 1402 01:08:24,080 --> 01:08:27,240 Speaker 2: of the people involved to engage with like male prostitutes 1403 01:08:27,840 --> 01:08:30,720 Speaker 2: is something that they allege here. The fact that he 1404 01:08:30,840 --> 01:08:33,400 Speaker 2: was denied bail is a pretty big deal. Just to 1405 01:08:33,439 --> 01:08:36,400 Speaker 2: show the way that the court sees it. They claim 1406 01:08:36,479 --> 01:08:41,519 Speaker 2: that they are going to appeal the decision. Their defense 1407 01:08:41,600 --> 01:08:44,880 Speaker 2: basically comes down to this quote, is it sex trafficking, 1408 01:08:45,080 --> 01:08:47,400 Speaker 2: not if everybody wants to be there. That is what 1409 01:08:47,520 --> 01:08:51,720 Speaker 2: his attorney, Mark agne Phillo said in terms of his 1410 01:08:51,800 --> 01:08:54,160 Speaker 2: clients innocence, and that actually is going to be a 1411 01:08:54,240 --> 01:08:56,920 Speaker 2: key part of the case. And I mean, it is 1412 01:08:56,960 --> 01:09:01,120 Speaker 2: an interesting question about consent and about what it exactly 1413 01:09:01,400 --> 01:09:04,080 Speaker 2: means for that. I mean, I think they probably have 1414 01:09:04,200 --> 01:09:07,479 Speaker 2: him from reading the indictment relatively like dead to rights 1415 01:09:07,479 --> 01:09:11,080 Speaker 2: in terms of transporting people across lines for sex purposes. 1416 01:09:11,120 --> 01:09:14,280 Speaker 2: That is a federal crime whenever it comes to prostitution. 1417 01:09:14,400 --> 01:09:16,559 Speaker 2: I guess the big question that they're going to get 1418 01:09:16,640 --> 01:09:20,800 Speaker 2: is about the consent not necessarily of the sex workers themselves, 1419 01:09:21,040 --> 01:09:24,840 Speaker 2: but also the other people who are involved and their 1420 01:09:24,880 --> 01:09:28,240 Speaker 2: allegations of being a victim where they have I think 1421 01:09:28,280 --> 01:09:31,200 Speaker 2: a better case is about the violence and then the 1422 01:09:31,240 --> 01:09:34,559 Speaker 2: evidence of the violence that he perpetrated on those people. 1423 01:09:34,600 --> 01:09:37,920 Speaker 2: But I could see some interesting like legal chicanery around 1424 01:09:37,920 --> 01:09:40,800 Speaker 2: that question of like whether people voluntarily wanted to be 1425 01:09:40,800 --> 01:09:41,160 Speaker 2: at the end. 1426 01:09:41,200 --> 01:09:44,960 Speaker 1: I mean, if the government proves the allegations they made here, 1427 01:09:45,040 --> 01:09:48,280 Speaker 1: it will not be a difficult question. Because you're talking about, 1428 01:09:48,560 --> 01:09:52,639 Speaker 1: you know, any given girl being beaten, you know, and 1429 01:09:52,680 --> 01:09:58,080 Speaker 1: force subject to emotional abuse. You're talking about her being drugs. 1430 01:09:58,120 --> 01:10:02,040 Speaker 1: You're talking about him saying if you don't come, I 1431 01:10:02,080 --> 01:10:02,880 Speaker 1: am going. 1432 01:10:02,680 --> 01:10:05,320 Speaker 4: To destroy you. I will destroy your career. 1433 01:10:05,800 --> 01:10:10,560 Speaker 1: There are allegations of arson in here, and multiple instances 1434 01:10:10,600 --> 01:10:13,400 Speaker 1: of arson. They actually don't go into the details, but 1435 01:10:13,720 --> 01:10:16,120 Speaker 1: one allegation that we know that's in the public sphere 1436 01:10:16,560 --> 01:10:21,000 Speaker 1: is that he threatened Cassie that if she left him 1437 01:10:21,000 --> 01:10:24,880 Speaker 1: and continued dating Kid Cutty Rabber Kid Cutty, that he 1438 01:10:25,360 --> 01:10:28,040 Speaker 1: would I think he threatened to blow up Kid Cutty's car, 1439 01:10:28,120 --> 01:10:30,599 Speaker 1: and then lo and behold, Kid Cutty's car blows up 1440 01:10:30,600 --> 01:10:32,479 Speaker 1: in the driveway, So that could be one of the 1441 01:10:32,520 --> 01:10:36,799 Speaker 1: instances of arson that they're talking about. So again, government 1442 01:10:36,840 --> 01:10:39,639 Speaker 1: has to prove their case. But also keep in mind 1443 01:10:39,720 --> 01:10:44,040 Speaker 1: that allegedly this was all recorded by Diddy himself, and 1444 01:10:44,280 --> 01:10:49,040 Speaker 1: they searched his residences, So I think it's entirely possible, 1445 01:10:49,040 --> 01:10:53,799 Speaker 1: if not likely, that they have a library of video 1446 01:10:53,840 --> 01:10:59,040 Speaker 1: footage to substantiate the allegations that they are making here. So, 1447 01:10:59,200 --> 01:11:01,559 Speaker 1: as I said, if if they prove what's in this indictment, 1448 01:11:01,680 --> 01:11:05,160 Speaker 1: it will not be a difficult question of you know, coercion, consent, 1449 01:11:05,200 --> 01:11:07,439 Speaker 1: et cetera, et cetera. Like if a woman is being 1450 01:11:07,800 --> 01:11:11,280 Speaker 1: beaten and emotionally abused and threatened within you know, her career, 1451 01:11:11,360 --> 01:11:13,120 Speaker 1: in an inch of her life, and you're amitable of 1452 01:11:13,160 --> 01:11:17,160 Speaker 1: your boyfriend's car to force you to participate in these things, 1453 01:11:17,160 --> 01:11:19,519 Speaker 1: then I think is a pretty clear lack of consent 1454 01:11:20,120 --> 01:11:24,599 Speaker 1: in that situation. Uh So, and he also they also 1455 01:11:24,640 --> 01:11:29,160 Speaker 1: alleged that he used kidnapping in order to get his way, 1456 01:11:29,479 --> 01:11:35,200 Speaker 1: So again, portrait of a total and complete monster. He 1457 01:11:35,240 --> 01:11:39,040 Speaker 1: will have his opportunity to argue otherwise. But the obviously 1458 01:11:39,040 --> 01:11:42,000 Speaker 1: the other big question here is like who else was 1459 01:11:42,000 --> 01:11:46,200 Speaker 1: that these freak offs? Who else participated? Who else in 1460 01:11:46,320 --> 01:11:49,960 Speaker 1: the Combs enterprise? You know, they make allegations here as 1461 01:11:50,000 --> 01:11:54,240 Speaker 1: well about how employees, assistants, et cetera, were you know, 1462 01:11:54,479 --> 01:11:56,840 Speaker 1: securing not only supplies for the freak offs. Okay, that 1463 01:11:56,920 --> 01:11:58,680 Speaker 1: may not be illegal if you don't know that you 1464 01:11:58,760 --> 01:12:01,320 Speaker 1: know what the supplies are going to be used for, 1465 01:12:01,800 --> 01:12:04,920 Speaker 1: but who helped to cover up the abuse. Remember, you're 1466 01:12:04,920 --> 01:12:07,080 Speaker 1: talking about women who had to be hidden for weeks 1467 01:12:07,080 --> 01:12:11,160 Speaker 1: at a time because again allegedly of the abuse that 1468 01:12:11,240 --> 01:12:15,000 Speaker 1: they suffered. They're you know, visible marks that could not 1469 01:12:15,080 --> 01:12:18,240 Speaker 1: be hidden. You're talking about him tracking their medical records 1470 01:12:18,320 --> 01:12:21,639 Speaker 1: so that he's in control of their medical care after 1471 01:12:21,680 --> 01:12:25,200 Speaker 1: they are subject to this abuse. So you know what 1472 01:12:25,320 --> 01:12:29,360 Speaker 1: other stars and celebrities could be implicated here, is you know, 1473 01:12:29,439 --> 01:12:31,719 Speaker 1: Didy the top of the chain, or is there someone 1474 01:12:31,760 --> 01:12:33,240 Speaker 1: else that they're going to try to get him to 1475 01:12:33,400 --> 01:12:36,040 Speaker 1: roll up on? Still a lot of questions. Puts he 1476 01:12:36,120 --> 01:12:39,400 Speaker 1: four up on the screen. We've got some reaction from 1477 01:12:39,520 --> 01:12:43,120 Speaker 1: the celebrity world. We have fifty cent apparently tweeted a 1478 01:12:43,120 --> 01:12:46,240 Speaker 1: photo of himself and actor Drew Barrymore, captioned here, I 1479 01:12:46,280 --> 01:12:48,559 Speaker 1: am keeping good company with Drew Barrymore and I don't 1480 01:12:48,560 --> 01:12:51,320 Speaker 1: have a thousand bottles of lube at the house, okay. 1481 01:12:52,600 --> 01:12:55,880 Speaker 1: Radio host Charlotte and the Gods said on Monday on 1482 01:12:55,920 --> 01:12:58,160 Speaker 1: a Monday segment of The Breakfast Breakfast Club, if Combs 1483 01:12:58,240 --> 01:13:00,640 Speaker 1: is convicted of rocketeering and sex trafficking, there will be 1484 01:13:00,720 --> 01:13:03,360 Speaker 1: others involved who will be probably. 1485 01:13:02,880 --> 01:13:03,599 Speaker 4: Going to jail. 1486 01:13:04,000 --> 01:13:07,519 Speaker 1: And singer Audreo Day, who's been outspoken about Comb, said 1487 01:13:07,520 --> 01:13:10,000 Speaker 1: Monday she felt validated after the arrest, falling up the 1488 01:13:10,040 --> 01:13:12,000 Speaker 1: tweet by saying she chose to speak to people who 1489 01:13:12,000 --> 01:13:16,639 Speaker 1: could move justice in the way I needed to. So yeah, 1490 01:13:16,720 --> 01:13:22,360 Speaker 1: there's my sense reading the indictment is it just scratched 1491 01:13:22,360 --> 01:13:27,639 Speaker 1: the surface of the specifics and doesn't get a lot 1492 01:13:27,680 --> 01:13:29,000 Speaker 1: into the evidence of what they have. 1493 01:13:29,160 --> 01:13:30,840 Speaker 4: I think we're going to learn a lot more here. 1494 01:13:30,960 --> 01:13:31,720 Speaker 3: Oh absolutely. 1495 01:13:31,760 --> 01:13:35,000 Speaker 2: I think it's a pretty clear cut case of just 1496 01:13:35,040 --> 01:13:38,200 Speaker 2: like Weinstein, where we know, know none of those assistants 1497 01:13:38,240 --> 01:13:41,160 Speaker 2: never got prosecuted. A lot of the people behind the 1498 01:13:41,160 --> 01:13:44,559 Speaker 2: scenes in the Weinstein company basically walked free or none 1499 01:13:44,560 --> 01:13:47,320 Speaker 2: of their names were brought up, obviously the whole Epstein 1500 01:13:47,439 --> 01:13:50,280 Speaker 2: case with Glean Maxwell. So it's really a question of 1501 01:13:50,280 --> 01:13:52,320 Speaker 2: what the Feds have and who they're able to prove 1502 01:13:52,520 --> 01:13:56,719 Speaker 2: as complicit. Also, I guess it depends on Comb's himself 1503 01:13:56,800 --> 01:13:59,400 Speaker 2: and whether he strikes a plea deal with the government. 1504 01:13:59,760 --> 01:14:01,960 Speaker 2: You know, like you said, Charlemagne and many other legal 1505 01:14:02,000 --> 01:14:04,599 Speaker 2: observers that he's almost certainly going to jail at least 1506 01:14:04,640 --> 01:14:06,639 Speaker 2: for some undetermined period of time. 1507 01:14:06,720 --> 01:14:07,800 Speaker 3: So we'll see. 1508 01:14:07,880 --> 01:14:10,920 Speaker 2: I mean, the details are truly crazy and I think 1509 01:14:11,640 --> 01:14:14,280 Speaker 2: demonstrate again some of the rot within hip hop and 1510 01:14:14,320 --> 01:14:16,920 Speaker 2: a lot of the behind the scenes stuff which were 1511 01:14:17,000 --> 01:14:19,920 Speaker 2: obviously floated out there. But we're ten times worse than 1512 01:14:20,080 --> 01:14:22,519 Speaker 2: anybody new, allegedly for the lawyers. 1513 01:14:22,680 --> 01:14:24,160 Speaker 4: Yeah, okay, see what we find out next. 1514 01:14:24,160 --> 01:14:26,160 Speaker 3: We've got a great panel standing by. Let's get to it. 1515 01:14:29,000 --> 01:14:31,000 Speaker 2: We are very excited now to be joined by a 1516 01:14:31,120 --> 01:14:33,200 Speaker 2: panel where we are going to discuss the topic of 1517 01:14:33,240 --> 01:14:36,800 Speaker 2: abortion and how Republicans should respond. So joining us now 1518 01:14:36,880 --> 01:14:40,000 Speaker 2: is familiar face Will Chamberlain. He is conservative commentator. We 1519 01:14:40,080 --> 01:14:42,080 Speaker 2: have Lila Rose as well. She is host of the 1520 01:14:42,200 --> 01:14:44,960 Speaker 2: Lila Rose Podcast. Thank you guys so much for joining us. 1521 01:14:45,000 --> 01:14:45,960 Speaker 3: We really appreciate it. 1522 01:14:46,960 --> 01:14:48,719 Speaker 5: Thank you for having me absolutely. 1523 01:14:48,800 --> 01:14:50,720 Speaker 2: Okay, So we're going to start off kind of with 1524 01:14:50,800 --> 01:14:54,080 Speaker 2: the way that you guys think Republicans should respond to 1525 01:14:54,280 --> 01:14:58,360 Speaker 2: the general abortion topic in the United States. Kamala Harris 1526 01:14:58,400 --> 01:15:00,680 Speaker 2: out with a new ad and it gets to some 1527 01:15:00,720 --> 01:15:03,240 Speaker 2: of the debates of and happening in the conservative movement 1528 01:15:03,280 --> 01:15:05,160 Speaker 2: and what that should look like. Let's take a listen 1529 01:15:05,160 --> 01:15:06,280 Speaker 2: to the ad and we're going to get both of 1530 01:15:06,320 --> 01:15:06,919 Speaker 2: your response. 1531 01:15:08,960 --> 01:15:12,200 Speaker 11: I've never slept a full night in my entire life. 1532 01:15:12,360 --> 01:15:15,080 Speaker 11: I was five years old when my stepfather abused me 1533 01:15:15,160 --> 01:15:17,760 Speaker 11: for the first time. I just felt like I was 1534 01:15:18,040 --> 01:15:20,519 Speaker 11: alone on a planet with a monster. 1535 01:15:23,880 --> 01:15:25,720 Speaker 4: I was twelve when he impregnated me. 1536 01:15:26,760 --> 01:15:30,200 Speaker 11: I just remember thinking, I have to get out of 1537 01:15:30,280 --> 01:15:30,880 Speaker 11: my skin. 1538 01:15:31,760 --> 01:15:33,360 Speaker 3: I can't be me right now, like. 1539 01:15:33,280 --> 01:15:36,000 Speaker 4: This can't be it. I didn't know what to do. 1540 01:15:36,760 --> 01:15:37,679 Speaker 3: I was a child. 1541 01:15:37,800 --> 01:15:41,640 Speaker 11: I didn't know what it meant to be pregnant at all. 1542 01:15:41,680 --> 01:15:47,479 Speaker 11: But I had options. Because Donald Trump overturned Roe v. Wade, 1543 01:15:47,720 --> 01:15:51,040 Speaker 11: girls and women all over the country have lost the 1544 01:15:51,160 --> 01:15:52,400 Speaker 11: right to choose. 1545 01:15:53,520 --> 01:15:55,480 Speaker 5: Even for rape or insist. 1546 01:15:56,720 --> 01:15:58,040 Speaker 4: Donald Trump did this. 1547 01:15:58,920 --> 01:16:09,000 Speaker 11: He took away our free. 1548 01:16:05,000 --> 01:16:07,400 Speaker 2: This is an important ad because it kind of highlights 1549 01:16:07,400 --> 01:16:10,160 Speaker 2: some of the difficulties in the conservative movement right now. 1550 01:16:10,160 --> 01:16:12,800 Speaker 2: Will I want to start with you both of you 1551 01:16:12,840 --> 01:16:15,759 Speaker 2: guys have kind of embroiled in a general topic online 1552 01:16:15,760 --> 01:16:20,320 Speaker 2: about how conservatives should respond on the topic of potential 1553 01:16:20,439 --> 01:16:24,719 Speaker 2: like moderation supposedly on the abortion issue, specifically in terms 1554 01:16:24,760 --> 01:16:27,760 Speaker 2: of exceptions for rape incests and the life of the mother, 1555 01:16:27,880 --> 01:16:31,839 Speaker 2: but also in terms of Donald Trump's previous statements perhaps 1556 01:16:31,880 --> 01:16:35,240 Speaker 2: either backing or endorsing a national abortion ban. How do 1557 01:16:35,280 --> 01:16:39,719 Speaker 2: you view the Trump campaigns like current navigation of the topic, 1558 01:16:39,800 --> 01:16:43,200 Speaker 2: and then the general idea of quote unquote moderation on 1559 01:16:43,240 --> 01:16:45,920 Speaker 2: the issue in the context of the twenty twenty four 1560 01:16:45,960 --> 01:16:47,040 Speaker 2: election politics. 1561 01:16:48,439 --> 01:16:50,360 Speaker 10: I mean, I think the Trump campaign is doing what 1562 01:16:50,400 --> 01:16:52,200 Speaker 10: makes sense at the moment. I think they have two 1563 01:16:52,320 --> 01:16:55,519 Speaker 10: big messages. One they think abortion is a state issue now, 1564 01:16:55,520 --> 01:16:59,160 Speaker 10: which it is under the law, that's the conclusion of dods. 1565 01:16:59,680 --> 01:17:04,200 Speaker 10: And second that they generally support the exceptions, you know, rape, incest, 1566 01:17:04,280 --> 01:17:05,360 Speaker 10: in the life of the mother. I mean, whenever you 1567 01:17:05,400 --> 01:17:07,840 Speaker 10: hear Trump talk about abortion, he always brings up his 1568 01:17:07,920 --> 01:17:12,240 Speaker 10: support of the exceptions. So I think, I mean, when 1569 01:17:12,240 --> 01:17:13,880 Speaker 10: it comes to specific ads like this one, I think 1570 01:17:13,920 --> 01:17:17,160 Speaker 10: you would just point out that they're basically false outright. 1571 01:17:17,400 --> 01:17:19,640 Speaker 10: Most of every every Harpe build that I know of 1572 01:17:19,720 --> 01:17:23,120 Speaker 10: has an exception, has the exceptions in it. So I 1573 01:17:23,160 --> 01:17:24,960 Speaker 10: think I think it's I think the Trump campaign is 1574 01:17:24,960 --> 01:17:27,639 Speaker 10: basically doing the right thing and it's messaging on this issue. 1575 01:17:28,080 --> 01:17:30,559 Speaker 10: And I think that's largely because you know, for the book, 1576 01:17:30,840 --> 01:17:32,960 Speaker 10: this is in a sense, if you look at the polling, 1577 01:17:33,000 --> 01:17:35,960 Speaker 10: it is where Republicans are seen as weakest, and so 1578 01:17:36,000 --> 01:17:37,719 Speaker 10: it's the issue we wanted to talk about the least, 1579 01:17:37,760 --> 01:17:39,479 Speaker 10: and it's the issue where we are playing defense. 1580 01:17:39,600 --> 01:17:41,920 Speaker 2: Lyyla, can we get your response because previously I know 1581 01:17:42,000 --> 01:17:44,400 Speaker 2: that you've been embroiled in some of these debates, specifically 1582 01:17:44,400 --> 01:17:47,240 Speaker 2: about Trump at least JD. Van's coming out in an 1583 01:17:47,320 --> 01:17:50,840 Speaker 2: interview and coming out supposedly saying that Trump would veto 1584 01:17:51,200 --> 01:17:54,160 Speaker 2: a national abortion ban, something that you were very critical of. 1585 01:17:54,240 --> 01:17:56,840 Speaker 2: So in the context of the politics and your own activism, 1586 01:17:56,960 --> 01:17:57,720 Speaker 2: how do you view this? 1587 01:17:58,439 --> 01:18:00,280 Speaker 12: Sure well, I want to start by to such josheeing 1588 01:18:00,320 --> 01:18:03,559 Speaker 12: the ad which was absolutely heartbreaking that you guys share it. 1589 01:18:03,600 --> 01:18:06,479 Speaker 12: I mean, this is the common approach used by abortion 1590 01:18:06,560 --> 01:18:09,599 Speaker 12: advocates is, you know, find the most tragic and heartbreaking story, 1591 01:18:09,640 --> 01:18:12,360 Speaker 12: and usually it's the victim, a twelve year old victims, 1592 01:18:12,400 --> 01:18:15,800 Speaker 12: a sexual assault survivor, and use them as justification for 1593 01:18:16,080 --> 01:18:19,080 Speaker 12: legalizing abortion on demand. And I think it's important to 1594 01:18:19,120 --> 01:18:21,360 Speaker 12: note that, first of all, there's almost a million abortions 1595 01:18:21,360 --> 01:18:25,759 Speaker 12: every single year. The vast majority of them are convenience abortions. 1596 01:18:25,760 --> 01:18:27,840 Speaker 12: These are abortions not having to do with these severe cases. 1597 01:18:27,840 --> 01:18:30,320 Speaker 12: They're having to do with general choice, and these are 1598 01:18:30,520 --> 01:18:33,160 Speaker 12: human beings. The science is very clear that at the 1599 01:18:33,160 --> 01:18:36,320 Speaker 12: moment of fertilization. This is a unique individual human life, 1600 01:18:36,520 --> 01:18:40,040 Speaker 12: and abortion is the intentional destruction of an innocent human life. 1601 01:18:40,320 --> 01:18:42,120 Speaker 12: In the case of rape and incests, these are the 1602 01:18:42,160 --> 01:18:45,320 Speaker 12: worst and most horrific and heartbreaking cases. But I think 1603 01:18:45,360 --> 01:18:48,920 Speaker 12: that the focus should be instead on getting justice for 1604 01:18:49,000 --> 01:18:51,840 Speaker 12: that young girl and removing her from a situation of 1605 01:18:51,880 --> 01:18:55,280 Speaker 12: sexual abuse, because the reality is I've spent a decade 1606 01:18:55,280 --> 01:18:59,320 Speaker 12: of my life investigating abortion clinics, and abortion clinics love 1607 01:18:59,439 --> 01:19:03,600 Speaker 12: abortion life sexual abuse because sexual abusers find abortion to 1608 01:19:03,640 --> 01:19:05,800 Speaker 12: be a great outlet, a great way to hide and 1609 01:19:05,840 --> 01:19:09,040 Speaker 12: cover up the crimes that they were committing on their victim. 1610 01:19:09,320 --> 01:19:11,840 Speaker 12: So this idea that abortion is a solution to sexual 1611 01:19:11,880 --> 01:19:13,880 Speaker 12: abuse or rape, that this is all that this young 1612 01:19:13,920 --> 01:19:16,599 Speaker 12: girl needs, this is her solution, I think it's horrible. 1613 01:19:16,640 --> 01:19:18,439 Speaker 12: I think the solution needs to be to remove her 1614 01:19:18,439 --> 01:19:21,559 Speaker 12: from the sexual abuse situation, to get her the healing 1615 01:19:21,640 --> 01:19:24,200 Speaker 12: and the support that she needs, and to get justice 1616 01:19:24,680 --> 01:19:25,800 Speaker 12: against her abuser. 1617 01:19:25,960 --> 01:19:28,720 Speaker 5: Often that doesn't happen, instead of filing. 1618 01:19:28,400 --> 01:19:31,960 Speaker 12: Out the penalty of this crime on this innocent, developing 1619 01:19:32,000 --> 01:19:32,800 Speaker 12: new human life. 1620 01:19:32,840 --> 01:19:36,439 Speaker 1: So, Lila, just to be clear, you believe that Hadley, 1621 01:19:36,520 --> 01:19:38,799 Speaker 1: the young lady in that ad who also was featured 1622 01:19:38,840 --> 01:19:42,280 Speaker 1: ad in the state of Kentucky, very red, very conservative, 1623 01:19:42,360 --> 01:19:45,200 Speaker 1: and very socially conservative state. She was also featured in 1624 01:19:45,200 --> 01:19:48,040 Speaker 1: an ad there that was very effective. You believe she 1625 01:19:48,080 --> 01:19:50,800 Speaker 1: should have been forced to carry that baby's term when 1626 01:19:50,840 --> 01:19:51,760 Speaker 1: she was twelve years old. 1627 01:19:52,080 --> 01:19:55,320 Speaker 12: I do not think that that baby should have been 1628 01:19:55,400 --> 01:19:56,799 Speaker 12: killed for the crime of the father. 1629 01:19:56,960 --> 01:19:57,840 Speaker 3: Okay do you? 1630 01:19:57,880 --> 01:20:00,400 Speaker 12: And I think she deserved the best medical care and 1631 01:20:00,439 --> 01:20:03,160 Speaker 12: support and she should have been removed from the abusive situation. 1632 01:20:03,800 --> 01:20:06,800 Speaker 12: But in many of these cases, abortion is not taking 1633 01:20:06,840 --> 01:20:08,559 Speaker 12: away the trauma of the rape. I mean, I think 1634 01:20:08,600 --> 01:20:11,519 Speaker 12: people get so horrified by rape, as they should be, 1635 01:20:11,840 --> 01:20:14,520 Speaker 12: and they think that somehow the baby, the new pregnancy, 1636 01:20:15,000 --> 01:20:17,479 Speaker 12: is the fault, is the reason for the trauma and 1637 01:20:17,520 --> 01:20:19,479 Speaker 12: the pain, when the reality is the trauma and the 1638 01:20:19,520 --> 01:20:20,920 Speaker 12: pain is from the sexual abuse. 1639 01:20:20,960 --> 01:20:22,439 Speaker 4: So, Lyla, that's what you do? 1640 01:20:22,479 --> 01:20:25,639 Speaker 1: You accept that view that that twelve year old girl 1641 01:20:26,040 --> 01:20:28,639 Speaker 1: raped byerstep dad should be forced to carry that baby 1642 01:20:28,680 --> 01:20:32,000 Speaker 1: to term. Do you accept that that's an unpopular view 1643 01:20:32,160 --> 01:20:35,720 Speaker 1: in the American public and a political liability for Republicans 1644 01:20:35,720 --> 01:20:36,800 Speaker 1: like Donald Trump to run on. 1645 01:20:37,439 --> 01:20:39,519 Speaker 12: Yeah, I think a lot of people have not really 1646 01:20:39,560 --> 01:20:41,960 Speaker 12: grappled with what abortion is that it's the intentional killing 1647 01:20:42,000 --> 01:20:44,040 Speaker 12: of an innocent human life. And I think that a 1648 01:20:44,080 --> 01:20:46,240 Speaker 12: lot of people haven't heard the stories of sexual assault 1649 01:20:46,240 --> 01:20:49,200 Speaker 12: survivors who have chosen life for their babies, or who 1650 01:20:49,280 --> 01:20:53,120 Speaker 12: had abortions and suffered afterwards trauma from the abortion, not 1651 01:20:53,280 --> 01:20:53,960 Speaker 12: just the rape. 1652 01:20:54,080 --> 01:20:55,800 Speaker 5: We don't really have these stories or. 1653 01:20:55,720 --> 01:20:58,200 Speaker 12: These ideas and are lexicon typically when it comes to 1654 01:20:58,240 --> 01:21:02,200 Speaker 12: this issue, because unfortunately the abortion advocates, like Kamala Harris 1655 01:21:02,360 --> 01:21:06,480 Speaker 12: is extremely pro abortion, is using these very tragic stories 1656 01:21:06,760 --> 01:21:09,960 Speaker 12: to justify their agenda, which is abortion on demand. 1657 01:21:10,040 --> 01:21:12,680 Speaker 1: I mean, don't forget ly, I understand, I understand you 1658 01:21:12,840 --> 01:21:15,639 Speaker 1: forget where I understand your personasive. But what we're trying 1659 01:21:15,680 --> 01:21:19,720 Speaker 1: to get to here is the political implications. So do 1660 01:21:19,760 --> 01:21:23,559 Speaker 1: you think that this ad is problem for Donald Trump? 1661 01:21:23,680 --> 01:21:26,720 Speaker 1: Do you think that his stance generally on abortion, in 1662 01:21:26,720 --> 01:21:28,960 Speaker 1: the fact that he's the person who put the justices 1663 01:21:28,960 --> 01:21:31,800 Speaker 1: in place that overturned Roll versus Wade, do you think 1664 01:21:31,800 --> 01:21:33,759 Speaker 1: that that's political liability as. 1665 01:21:33,640 --> 01:21:36,120 Speaker 4: Most do, or do you reject that analysis? 1666 01:21:36,720 --> 01:21:39,040 Speaker 12: Well, as you probably may have seen some of my 1667 01:21:39,120 --> 01:21:43,160 Speaker 12: statements about president former President Trump and his campaign, his 1668 01:21:43,280 --> 01:21:47,839 Speaker 12: campaign is not as pro abortion as the Harris Walls campaign, 1669 01:21:48,080 --> 01:21:49,400 Speaker 12: but they're in support of abortion. 1670 01:21:49,960 --> 01:21:52,320 Speaker 5: So you know the fact that Kamala Harris is using. 1671 01:21:52,080 --> 01:21:55,160 Speaker 12: This ad, I think it's very deceptive on multiple levels. 1672 01:21:55,400 --> 01:21:59,599 Speaker 12: But the reality is the Trump Fans campaign supports abortion pills. 1673 01:22:00,080 --> 01:22:04,200 Speaker 12: They support, as Will was saying earlier, they support abortion 1674 01:22:04,360 --> 01:22:05,519 Speaker 12: in multiple cases. 1675 01:22:06,120 --> 01:22:08,320 Speaker 5: They support they don't want the heartbeat law. 1676 01:22:08,320 --> 01:22:10,960 Speaker 12: As an example, President Trump has been critical of the 1677 01:22:10,960 --> 01:22:13,120 Speaker 12: heartbeat law that the pro life movement worked very hard 1678 01:22:13,160 --> 01:22:15,559 Speaker 12: for in the state of Florida. So there have been 1679 01:22:15,600 --> 01:22:18,880 Speaker 12: a number of really troubling positions and policies coming out 1680 01:22:18,920 --> 01:22:22,519 Speaker 12: of the Trump Fans campaign, and that's why the prologue 1681 01:22:22,560 --> 01:22:25,760 Speaker 12: movement and the base has been critical and saying, well, well, 1682 01:22:26,080 --> 01:22:28,280 Speaker 12: this is not the correct position to take there. 1683 01:22:28,320 --> 01:22:30,000 Speaker 5: These are human lives that deserve protection. 1684 01:22:30,200 --> 01:22:31,679 Speaker 2: Well, this is where I want to get your response, 1685 01:22:31,680 --> 01:22:33,360 Speaker 2: because one of the most interesting points I saw that 1686 01:22:33,400 --> 01:22:36,240 Speaker 2: you make was you previously worked for Governor Ron DeSantis, 1687 01:22:36,280 --> 01:22:38,160 Speaker 2: and you were like, listen, if the pro life community 1688 01:22:38,200 --> 01:22:40,759 Speaker 2: had wanted to come out and the Republican Party generally 1689 01:22:41,080 --> 01:22:43,599 Speaker 2: had wanted to support the best person on the issue 1690 01:22:43,600 --> 01:22:45,880 Speaker 2: of life in that campaign, they would have voted for 1691 01:22:45,920 --> 01:22:48,519 Speaker 2: somebody like a Ron DeSantis or a Mike Pence even 1692 01:22:48,560 --> 01:22:51,040 Speaker 2: at one point who was thinking about it. So on 1693 01:22:51,080 --> 01:22:53,760 Speaker 2: that political point of what Lilah said, what would your 1694 01:22:53,760 --> 01:22:55,599 Speaker 2: response be to her? I think both of these are 1695 01:22:55,680 --> 01:22:59,120 Speaker 2: totally legitimate arguments, and it gets down to the actual 1696 01:22:59,160 --> 01:23:02,360 Speaker 2: politics of it navigating this in this current election, what 1697 01:23:02,360 --> 01:23:02,800 Speaker 2: do you think? 1698 01:23:04,120 --> 01:23:06,400 Speaker 10: I think the way the pro life movement ought view 1699 01:23:06,760 --> 01:23:09,840 Speaker 10: what President Trump is doing is that he's he's just 1700 01:23:09,920 --> 01:23:13,479 Speaker 10: the messenger for where the broader public is. Trump was 1701 01:23:13,520 --> 01:23:16,000 Speaker 10: a deeply pragmatic and transactional leader when he was in 1702 01:23:16,080 --> 01:23:18,439 Speaker 10: the White House, and he has even more reason to 1703 01:23:18,439 --> 01:23:22,320 Speaker 10: be pragmatic now that he's facing criminal indictments across the 1704 01:23:22,320 --> 01:23:25,240 Speaker 10: country from a weaponized justice system against him. So, I mean, 1705 01:23:25,280 --> 01:23:27,680 Speaker 10: if anybody was designed to be like, how am I 1706 01:23:27,720 --> 01:23:30,360 Speaker 10: going to get the White House back? And who's focused 1707 01:23:30,360 --> 01:23:32,639 Speaker 10: on that goal beyond others, it would be Donald Trump. 1708 01:23:33,600 --> 01:23:35,679 Speaker 10: And so when he looks at the abortion issue, he says, 1709 01:23:35,840 --> 01:23:38,760 Speaker 10: this is a political liability for us, And I'm going 1710 01:23:38,840 --> 01:23:41,519 Speaker 10: to take the position that you know, I'm going to 1711 01:23:41,600 --> 01:23:43,840 Speaker 10: try and obviously balance the need the fact that pro 1712 01:23:43,880 --> 01:23:46,040 Speaker 10: life conservatives are a part of the conservative coalition and 1713 01:23:46,080 --> 01:23:48,519 Speaker 10: we don't want to lose their votes. But at the 1714 01:23:48,600 --> 01:23:51,280 Speaker 10: same time, given that the bulk of the public is 1715 01:23:51,400 --> 01:23:53,840 Speaker 10: not where the pro life movement is, we're going to 1716 01:23:53,840 --> 01:23:56,000 Speaker 10: have to chack to the center. And I think, you know, 1717 01:23:56,200 --> 01:23:59,320 Speaker 10: I don't hear a lot of you know, green saying 1718 01:23:59,320 --> 01:24:03,920 Speaker 10: the Kamala Harris is betraying them when Kamala Harris says 1719 01:24:03,920 --> 01:24:07,840 Speaker 10: she now supports cracking, or that the LGBTQ people are 1720 01:24:07,880 --> 01:24:10,200 Speaker 10: saying that Harris is betraying them when she no longer 1721 01:24:10,200 --> 01:24:13,799 Speaker 10: stands by her earlier position that there should be transition 1722 01:24:13,880 --> 01:24:18,800 Speaker 10: surgeries available to legal aliens detained. So I think there's 1723 01:24:19,320 --> 01:24:20,879 Speaker 10: I think happens during campaigns. 1724 01:24:20,920 --> 01:24:23,360 Speaker 1: Sure, I think the equivalent issue right now on the left, 1725 01:24:23,640 --> 01:24:26,280 Speaker 1: speaking of someone on the left is the Gaza seespire 1726 01:24:26,400 --> 01:24:29,160 Speaker 1: and the commitment to you know that many of us 1727 01:24:29,200 --> 01:24:32,400 Speaker 1: would like to see from the Biden administration to embarking weapons. 1728 01:24:32,880 --> 01:24:35,760 Speaker 1: And so there's a very similar debate that plays out 1729 01:24:35,880 --> 01:24:39,240 Speaker 1: between what we call the lesser evil voting that you 1730 01:24:39,280 --> 01:24:43,160 Speaker 1: know that Lilah is somewhat articulating of you know, from 1731 01:24:43,200 --> 01:24:46,920 Speaker 1: her perspective, Harris Walls are worse on abortion. From her perspective, 1732 01:24:47,320 --> 01:24:50,880 Speaker 1: Trump advanced may be better, but they still don't meet 1733 01:24:51,080 --> 01:24:54,680 Speaker 1: her moral red line. And you know, a part of 1734 01:24:54,720 --> 01:24:57,759 Speaker 1: why I'm pathetic to that view because I find myself 1735 01:24:57,760 --> 01:24:59,519 Speaker 1: in a similar position on the left. 1736 01:24:59,560 --> 01:25:02,320 Speaker 4: But yet, Nila, if you could just explain. 1737 01:25:01,960 --> 01:25:05,040 Speaker 1: A little bit more of how you think about your 1738 01:25:05,120 --> 01:25:07,799 Speaker 1: vote and more broadly, how you think about the votes 1739 01:25:07,920 --> 01:25:12,040 Speaker 1: of the pro life movement. Has Donald Trump done enough, 1740 01:25:12,240 --> 01:25:15,759 Speaker 1: come enough towards your position that you feel like, Okay, 1741 01:25:16,160 --> 01:25:18,800 Speaker 1: yes I can vote for this person, as he's not 1742 01:25:18,840 --> 01:25:21,040 Speaker 1: where I want him to be, but he's, in your view, 1743 01:25:21,040 --> 01:25:23,679 Speaker 1: the lesser of two evils, or do you still continue 1744 01:25:23,680 --> 01:25:27,080 Speaker 1: to feel like there's a moral line here and your 1745 01:25:27,120 --> 01:25:29,160 Speaker 1: threshold has not yet been met by him? 1746 01:25:29,920 --> 01:25:32,479 Speaker 12: Listen, context is key here in the recent history has 1747 01:25:32,520 --> 01:25:35,080 Speaker 12: to be stated. So what happened, as many folks may 1748 01:25:35,120 --> 01:25:38,559 Speaker 12: know or may not know, the Republican National Convention obviously 1749 01:25:38,640 --> 01:25:42,000 Speaker 12: shows Donald Trump as the nominee. And during that convention, 1750 01:25:42,520 --> 01:25:45,600 Speaker 12: after four decades of a pro life platform, due to 1751 01:25:45,640 --> 01:25:50,520 Speaker 12: reportedly Trump's influence and pressure on the convention and the delegates, 1752 01:25:50,760 --> 01:25:53,280 Speaker 12: they gutted the Republican Party platform on life. So you 1753 01:25:53,280 --> 01:25:56,599 Speaker 12: had four decades of a strong Republican Party platform on Life, 1754 01:25:56,640 --> 01:26:00,200 Speaker 12: protecting life abortion was mentioned and decried twenty three times. 1755 01:26:00,360 --> 01:26:03,160 Speaker 12: Now the platform mentions abortion once, and they talk about 1756 01:26:03,200 --> 01:26:06,280 Speaker 12: access to things like IVF and birth control. They are 1757 01:26:06,400 --> 01:26:09,240 Speaker 12: basically weakening, softening the platform on life. Then you look 1758 01:26:09,240 --> 01:26:11,559 Speaker 12: at the last several weeks President Trump's campaign coming out 1759 01:26:11,600 --> 01:26:14,519 Speaker 12: and saying they support access to abortion pills. Abortion pills 1760 01:26:14,560 --> 01:26:17,280 Speaker 12: are sixty percent of all abortions in this country. That's 1761 01:26:17,320 --> 01:26:20,559 Speaker 12: over a thousand abortions every single day, killed via children 1762 01:26:20,640 --> 01:26:24,240 Speaker 12: killed via the abortion pill. So these are dramatically huge 1763 01:26:24,280 --> 01:26:28,800 Speaker 12: concessions that the Trump campaign is making, ultimately throwing not 1764 01:26:28,840 --> 01:26:31,080 Speaker 12: just the proloct movement, which has been a base for 1765 01:26:31,200 --> 01:26:33,519 Speaker 12: the campaign in the past and for President Trump in 1766 01:26:33,560 --> 01:26:36,760 Speaker 12: the past, but throwing the cause, the issue under the 1767 01:26:36,800 --> 01:26:39,839 Speaker 12: bus here. So this is not just these tiny little quibbles. 1768 01:26:39,840 --> 01:26:44,160 Speaker 12: These are significant steps that have been unprecedented in recent 1769 01:26:44,360 --> 01:26:48,400 Speaker 12: decades coming from the GOP nominee. And that's why it 1770 01:26:48,439 --> 01:26:51,519 Speaker 12: is my responsibility as a pro life activist speaking for 1771 01:26:51,600 --> 01:26:55,160 Speaker 12: people who have no voice. Unborn children have no vote, 1772 01:26:55,160 --> 01:26:57,439 Speaker 12: they have no voice. They are being killed by the 1773 01:26:57,520 --> 01:27:00,400 Speaker 12: thousands every single day in this country legally, and is 1774 01:27:00,439 --> 01:27:03,640 Speaker 12: my responsibility to speak for these children. And so I 1775 01:27:03,680 --> 01:27:06,799 Speaker 12: have been speaking out urging the campaign to change course. 1776 01:27:06,840 --> 01:27:10,200 Speaker 12: The policies that they've been recently upholding and the statements 1777 01:27:10,240 --> 01:27:13,280 Speaker 12: that they're making are extremely pro abortion and it needs 1778 01:27:13,320 --> 01:27:13,759 Speaker 12: to stop. 1779 01:27:13,800 --> 01:27:16,400 Speaker 5: So that's my position. And look the left talking about the. 1780 01:27:16,360 --> 01:27:18,360 Speaker 1: Well, but will you vote for him if he doesn't 1781 01:27:18,439 --> 01:27:19,200 Speaker 1: change his position? 1782 01:27:19,360 --> 01:27:20,160 Speaker 4: Will you vote for him? 1783 01:27:20,479 --> 01:27:23,120 Speaker 12: The vote is at risk right now the voters, and 1784 01:27:23,200 --> 01:27:24,679 Speaker 12: then there are weeks before the election. 1785 01:27:24,800 --> 01:27:26,200 Speaker 5: He can change course on this. 1786 01:27:26,640 --> 01:27:29,160 Speaker 12: President Trump actually recently started to change course in the 1787 01:27:29,200 --> 01:27:32,320 Speaker 12: right direction because of pressure. So you know, pressure works. 1788 01:27:32,400 --> 01:27:35,080 Speaker 12: Keep in mind, these campaigns they work for the voters. 1789 01:27:35,360 --> 01:27:37,240 Speaker 12: The voters don't work for them. These are they're trying 1790 01:27:37,240 --> 01:27:39,559 Speaker 12: to be public servants to serve this country and represent 1791 01:27:39,640 --> 01:27:40,200 Speaker 12: this country. 1792 01:27:40,600 --> 01:27:42,800 Speaker 5: We don't vote work for them. They work for us. 1793 01:27:42,800 --> 01:27:45,800 Speaker 12: So it's our position and our responsibility to speak out 1794 01:27:45,800 --> 01:27:47,800 Speaker 12: for those that have no voice and that are those 1795 01:27:47,840 --> 01:27:48,880 Speaker 12: are children in the womb. 1796 01:27:49,000 --> 01:27:52,439 Speaker 1: And one more, one more question for you, because I'm 1797 01:27:52,439 --> 01:27:57,760 Speaker 1: still not really clear if you recognize, you know, the embrace. 1798 01:27:57,400 --> 01:28:00,920 Speaker 4: Of you know, rejection, you reject the IVF. 1799 01:28:01,560 --> 01:28:04,000 Speaker 1: We can actually put up on the screen D three 1800 01:28:04,120 --> 01:28:07,640 Speaker 1: the polling on IVF even only ten percent of Republicans 1801 01:28:08,000 --> 01:28:11,720 Speaker 1: even agree with your position on IVF, which, listen, you're 1802 01:28:11,760 --> 01:28:13,799 Speaker 1: you know, you're allowed to have the views that you do. 1803 01:28:14,240 --> 01:28:16,320 Speaker 5: But would it be resp on to that? 1804 01:28:16,520 --> 01:28:18,680 Speaker 1: Yeah, well just once, just one second, and then you 1805 01:28:18,720 --> 01:28:22,719 Speaker 1: can respond, would it be worth, in your opinion, Donald Trump, 1806 01:28:22,840 --> 01:28:27,599 Speaker 1: losing this election to Kamala Harris in order to, for example, 1807 01:28:27,840 --> 01:28:33,240 Speaker 1: oppose IVF or you know, oppose you know, even forcing 1808 01:28:33,320 --> 01:28:35,920 Speaker 1: a or support forcing a twelve year old girl to 1809 01:28:36,280 --> 01:28:36,640 Speaker 1: bear the. 1810 01:28:36,920 --> 01:28:37,960 Speaker 4: Baby of her rapists. 1811 01:28:37,960 --> 01:28:40,120 Speaker 1: Would you do you think it's worth losing an election 1812 01:28:40,200 --> 01:28:41,040 Speaker 1: over those issues. 1813 01:28:41,520 --> 01:28:43,240 Speaker 5: Listen, there's a few key distinctions here. 1814 01:28:43,320 --> 01:28:46,120 Speaker 12: First of all, you're assuming that by galvanizing his base, 1815 01:28:46,439 --> 01:28:50,120 Speaker 12: President Trump will somehow hurt his chances. The reality is this, 1816 01:28:50,640 --> 01:28:54,080 Speaker 12: pro abortion voters, voters that abortion is their top issue 1817 01:28:54,120 --> 01:28:55,720 Speaker 12: for them, that's what they're going to get out their 1818 01:28:55,800 --> 01:28:58,760 Speaker 12: vote for, are already voting for Kamala Harris. I don't 1819 01:28:58,760 --> 01:29:01,599 Speaker 12: think the strategy of the true fans campaign to say, well, 1820 01:29:01,640 --> 01:29:05,360 Speaker 12: I'm going to win some you know, hardcore abortion supporters 1821 01:29:05,400 --> 01:29:06,920 Speaker 12: who care about this so much they'll show up to 1822 01:29:06,960 --> 01:29:10,040 Speaker 12: vote on this issue. Those people are already voting for 1823 01:29:10,080 --> 01:29:14,439 Speaker 12: the Harris Walls ticket because Kamala Harris has a extreme 1824 01:29:14,479 --> 01:29:16,800 Speaker 12: pro abortion record and that's been tried and true for 1825 01:29:16,840 --> 01:29:19,840 Speaker 12: now her entire career. So to think that Donald Trump 1826 01:29:19,840 --> 01:29:21,960 Speaker 12: is them are going to get the abortion vote, I 1827 01:29:21,960 --> 01:29:24,599 Speaker 12: think is just pining the sky thinking. In addition, he's 1828 01:29:24,640 --> 01:29:27,720 Speaker 12: going to hurt and suppress his own base, the pro 1829 01:29:27,800 --> 01:29:31,120 Speaker 12: life base, by basically again throwing this issue under the bus. 1830 01:29:31,280 --> 01:29:32,800 Speaker 12: And then on the issue of IVF, I have to 1831 01:29:33,479 --> 01:29:36,280 Speaker 12: state about that. You know, the data shows that ninety 1832 01:29:36,320 --> 01:29:39,040 Speaker 12: three percent there's an education gap on this issue, which 1833 01:29:39,240 --> 01:29:41,559 Speaker 12: is is why the pulling is the way that you indicated, 1834 01:29:41,600 --> 01:29:42,920 Speaker 12: or some pulling may appear that way. 1835 01:29:43,280 --> 01:29:44,720 Speaker 5: Ninety three percent. 1836 01:29:44,680 --> 01:29:50,680 Speaker 12: Of babies conceived via IVF are end up being frozen, killed, destroyed, 1837 01:29:50,800 --> 01:29:53,799 Speaker 12: or miscarried. Only seven percent of them make it out alive. 1838 01:29:53,880 --> 01:29:57,200 Speaker 12: This is a highly dangerous and expensive and quite frankly, 1839 01:29:57,240 --> 01:30:01,320 Speaker 12: extremely difficult technology for the women and for the families. 1840 01:30:01,760 --> 01:30:04,000 Speaker 12: It is expensive and it is highly dangerous for the 1841 01:30:04,080 --> 01:30:06,280 Speaker 12: new human lives that are being created. There's a reason 1842 01:30:06,320 --> 01:30:09,280 Speaker 12: that there is concern about this, and there's ethical issues 1843 01:30:09,320 --> 01:30:12,120 Speaker 12: with this, and what the Trump Fans ticket did recently 1844 01:30:12,160 --> 01:30:14,479 Speaker 12: wasn't just to say we support IVF, it was to 1845 01:30:14,520 --> 01:30:19,600 Speaker 12: say we're going to do tax funded insurance companies subsidized 1846 01:30:19,640 --> 01:30:22,519 Speaker 12: and mandated IVF. So it was saying, we want everyone 1847 01:30:22,520 --> 01:30:24,400 Speaker 12: in the country to do IVF if they want that. 1848 01:30:24,680 --> 01:30:27,439 Speaker 12: This is about sixty thousand dollars to achieve one live 1849 01:30:27,520 --> 01:30:31,120 Speaker 12: berth and there's a million babies embryos that are frozen 1850 01:30:31,200 --> 01:30:35,200 Speaker 12: indefinitely right now. So no one's talking about these facts, right, 1851 01:30:35,240 --> 01:30:37,280 Speaker 12: We're just up in the one hundred thousand foot view 1852 01:30:37,320 --> 01:30:39,439 Speaker 12: of well, we support choice, we support reproductive freedom. Well 1853 01:30:39,439 --> 01:30:42,440 Speaker 12: what are we actually talking about when we use this terminology. 1854 01:30:42,439 --> 01:30:45,840 Speaker 12: We're talking about human lives that are recklessly being destroyed. 1855 01:30:46,120 --> 01:30:47,880 Speaker 12: And that's why the pro life movement needs to be 1856 01:30:47,880 --> 01:30:48,559 Speaker 12: speaking out right now. 1857 01:30:48,600 --> 01:30:50,320 Speaker 3: Total understand where you're coming from, Lila Will. 1858 01:30:50,400 --> 01:30:52,639 Speaker 2: I want to give you, obviously a chance to respond 1859 01:30:52,760 --> 01:30:54,439 Speaker 2: on the politics of the issue. You can go all 1860 01:30:54,439 --> 01:30:56,800 Speaker 2: the way back both with the R and C platform 1861 01:30:57,160 --> 01:30:58,280 Speaker 2: and then towards IVF. 1862 01:30:59,520 --> 01:31:02,000 Speaker 10: Okay, so I guess back towards the politics of the issue. 1863 01:31:02,000 --> 01:31:04,680 Speaker 10: I mean, Crystal said something interesting which was the analogy 1864 01:31:04,720 --> 01:31:07,519 Speaker 10: to the left in Gaza, which I think is actually 1865 01:31:07,680 --> 01:31:11,200 Speaker 10: very very interesting and appropriate, and I hope you know, uh, 1866 01:31:11,600 --> 01:31:13,360 Speaker 10: you know, as a Republican who wants to see Donald 1867 01:31:13,400 --> 01:31:16,280 Speaker 10: Trump in office, I hope that these propouse dying people 1868 01:31:16,400 --> 01:31:19,719 Speaker 10: stick to their guns and refuse to vote for Kamala Harris, 1869 01:31:19,720 --> 01:31:22,800 Speaker 10: who is very obviously the better candidate for Gaza pro 1870 01:31:22,960 --> 01:31:26,280 Speaker 10: Gaza for you know, platform, because I guarantee you the 1871 01:31:26,280 --> 01:31:28,559 Speaker 10: Republicans are going to be pro Israel one hundred percent 1872 01:31:28,560 --> 01:31:32,559 Speaker 10: of the time every time. So you know that said, 1873 01:31:32,640 --> 01:31:34,960 Speaker 10: you know, I hope that Democrats don't take my advice 1874 01:31:35,080 --> 01:31:37,800 Speaker 10: and you know, go ahead and continue to abstain and 1875 01:31:37,840 --> 01:31:40,520 Speaker 10: withhold their vote from Kamala Harris on because of Gaza. 1876 01:31:40,640 --> 01:31:43,639 Speaker 10: And at the same time, I really really hope that 1877 01:31:43,640 --> 01:31:46,719 Speaker 10: that Whila comes around and realizes that Trump is still 1878 01:31:46,760 --> 01:31:48,880 Speaker 10: in the Republican Party is the home of the pro 1879 01:31:48,920 --> 01:31:51,519 Speaker 10: life movement in the same way that the Democratic Party 1880 01:31:51,600 --> 01:31:55,200 Speaker 10: is the home of the Palestinian sympathizers, and comes around 1881 01:31:55,240 --> 01:31:56,200 Speaker 10: to vote for us. 1882 01:31:56,320 --> 01:31:59,559 Speaker 1: Well let me, let me, let me say prising, let 1883 01:31:59,600 --> 01:32:02,320 Speaker 1: me ask for I'll get a challenged just a second, Lila, 1884 01:32:02,400 --> 01:32:04,200 Speaker 1: but Will hasn't had as much of a chance to speak. 1885 01:32:04,200 --> 01:32:05,720 Speaker 1: But let me just press you on one thing, Will, 1886 01:32:05,760 --> 01:32:10,360 Speaker 1: because I do think that from Lilah's perspective, and from 1887 01:32:10,400 --> 01:32:13,559 Speaker 1: your perspective as well as a pro life person, you'll 1888 01:32:13,600 --> 01:32:18,760 Speaker 1: Republicans have under Trump. Trump specifically has somewhat accepted the 1889 01:32:18,960 --> 01:32:23,840 Speaker 1: Democratic framing around abortion, and we do see post Row 1890 01:32:23,920 --> 01:32:28,120 Speaker 1: versus Wade, you see an increase in support for choice. 1891 01:32:28,200 --> 01:32:31,559 Speaker 1: So for the first time, I kind of ever, it's 1892 01:32:31,560 --> 01:32:33,600 Speaker 1: not really a fifty to fifty issue anymore. You have 1893 01:32:33,640 --> 01:32:38,320 Speaker 1: a very clear, consistent majorities in favor broadly of choice. 1894 01:32:38,800 --> 01:32:42,760 Speaker 1: So isn't there a risk of longer term harm to 1895 01:32:42,960 --> 01:32:47,080 Speaker 1: the pro life movement of a Republican who in certain 1896 01:32:47,160 --> 01:32:52,879 Speaker 1: key ways accepts some of the Democratic framing on the issue. 1897 01:32:53,320 --> 01:32:54,600 Speaker 10: So I want to correct you at the asset. I 1898 01:32:54,640 --> 01:32:56,720 Speaker 10: wouldn't characterize in my politics as pro life. They're more 1899 01:32:56,720 --> 01:32:59,760 Speaker 10: pro natalist. So I end up disagreeing with Lyla on 1900 01:32:59,760 --> 01:33:03,599 Speaker 10: things like IVF for example. But and I don't want 1901 01:33:03,600 --> 01:33:05,519 Speaker 10: to like falsely portray myself to your art. 1902 01:33:05,840 --> 01:33:07,600 Speaker 4: Yeah, important clarification. 1903 01:33:08,520 --> 01:33:10,639 Speaker 10: But I think on the on the question of would 1904 01:33:10,640 --> 01:33:12,439 Speaker 10: this too harm to the pro life movement to have 1905 01:33:12,520 --> 01:33:15,320 Speaker 10: Trump in, I think the much greater harm is is 1906 01:33:15,360 --> 01:33:18,479 Speaker 10: the risk of a Kamala Rigas presidency. Something I tweeted 1907 01:33:18,479 --> 01:33:20,840 Speaker 10: out which I think is true that I think the 1908 01:33:20,880 --> 01:33:23,599 Speaker 10: pro life movement, if they were being strategic, should realize 1909 01:33:23,600 --> 01:33:25,720 Speaker 10: that they don't want abortion to be an issue at 1910 01:33:25,760 --> 01:33:27,679 Speaker 10: the federal level for at least a decade, given where 1911 01:33:27,680 --> 01:33:30,320 Speaker 10: the polling is, because the likely outcome of abortion being 1912 01:33:30,360 --> 01:33:33,920 Speaker 10: salient at the federal level is a national confiocation of Row, 1913 01:33:34,120 --> 01:33:36,280 Speaker 10: or further right, going all the way to saying that 1914 01:33:36,320 --> 01:33:38,679 Speaker 10: the federal government says nobody, no state can impose any 1915 01:33:38,680 --> 01:33:42,559 Speaker 10: restrictions on abortion whatsoever, or packing the Supreme Court if 1916 01:33:42,560 --> 01:33:44,960 Speaker 10: they get that chance, and then effectively reversing Dobbs and 1917 01:33:44,960 --> 01:33:48,200 Speaker 10: reinstating Row and writing it into the Constitution with a 1918 01:33:48,200 --> 01:33:51,360 Speaker 10: permanent Democrat majority in the Court. So I think I 1919 01:33:51,400 --> 01:33:55,160 Speaker 10: think that you know, I think perhaps the mistake that's 1920 01:33:55,200 --> 01:33:58,000 Speaker 10: being made and worrying too much about, oh, well, Trump 1921 01:33:58,040 --> 01:33:59,320 Speaker 10: is going to move us a little bit to the 1922 01:33:59,400 --> 01:34:02,200 Speaker 10: left is if the Democrats win. I think they are 1923 01:34:02,600 --> 01:34:05,799 Speaker 10: not considering just how bad it could get. It's like, effectively, 1924 01:34:05,840 --> 01:34:08,240 Speaker 10: I feel like you guys are treating Dobbs as the 1925 01:34:08,240 --> 01:34:11,719 Speaker 10: new baseline and not recognizing how things could get substantially worse. 1926 01:34:11,880 --> 01:34:13,439 Speaker 2: Leila, I want to get your response to that, because 1927 01:34:13,439 --> 01:34:15,559 Speaker 2: I think that seems to be the key one. It's like, Okay, 1928 01:34:15,600 --> 01:34:18,679 Speaker 2: Trump can lose and then the Democrats will basically resolve 1929 01:34:18,720 --> 01:34:21,680 Speaker 2: the abortion question for all time by nuking the filibuster 1930 01:34:22,080 --> 01:34:24,639 Speaker 2: and making it national. Or you can have the current 1931 01:34:24,640 --> 01:34:27,960 Speaker 2: outcome where multiple red states have at least some restriction. 1932 01:34:28,560 --> 01:34:30,760 Speaker 2: I mean, I mean, I guess I understand where you're 1933 01:34:30,760 --> 01:34:33,040 Speaker 2: coming from, but you also have to intersect with the 1934 01:34:33,080 --> 01:34:35,840 Speaker 2: practical realities of the American political system. 1935 01:34:35,920 --> 01:34:37,320 Speaker 3: So how do you think about that question? 1936 01:34:38,040 --> 01:34:39,840 Speaker 5: Yeah, well, listen a few things. 1937 01:34:39,880 --> 01:34:44,240 Speaker 12: First of all, again, what the Trump influence has done 1938 01:34:44,240 --> 01:34:46,439 Speaker 12: so far in the GOP and what the Trump fans 1939 01:34:46,479 --> 01:34:48,920 Speaker 12: ticket has done in just the last few weeks is 1940 01:34:49,400 --> 01:34:52,639 Speaker 12: moving left on abortion. And the job of the pro 1941 01:34:52,720 --> 01:34:55,240 Speaker 12: life movement is not to just show up and vote 1942 01:34:55,240 --> 01:34:57,560 Speaker 12: for whoever the GOP candidate is. The job of the 1943 01:34:57,600 --> 01:35:01,000 Speaker 12: prolift movement is to advocate and be activist for a 1944 01:35:01,040 --> 01:35:02,920 Speaker 12: group of people who have no voice. 1945 01:35:02,600 --> 01:35:04,880 Speaker 5: And no vote. Those are children in the womb. They're 1946 01:35:04,880 --> 01:35:07,000 Speaker 5: in danger being murdered by abortions. 1947 01:35:07,200 --> 01:35:07,960 Speaker 3: So that's our. 1948 01:35:07,920 --> 01:35:10,559 Speaker 12: Job, right And I look at you know, Cecile Richards, 1949 01:35:10,560 --> 01:35:12,560 Speaker 12: who is the former president of Planned Parent at the 1950 01:35:12,560 --> 01:35:15,760 Speaker 12: biggest abortion chain globally, and she's in the New York 1951 01:35:15,800 --> 01:35:18,720 Speaker 12: Times just in the last week telling Kamala Harris to 1952 01:35:18,760 --> 01:35:19,719 Speaker 12: be more pro abortion. 1953 01:35:20,240 --> 01:35:21,680 Speaker 5: The left knows how to do this. 1954 01:35:21,760 --> 01:35:25,479 Speaker 12: I mean, I think the right makes ourselves increasingly impotent 1955 01:35:25,640 --> 01:35:28,639 Speaker 12: when we just let the politicians do whatever they want 1956 01:35:28,640 --> 01:35:30,679 Speaker 12: and we don't stand up for what is good and true, 1957 01:35:30,680 --> 01:35:32,519 Speaker 12: at what we believe to be good and true. You know, 1958 01:35:32,600 --> 01:35:34,720 Speaker 12: Cecil Richards is out there say Kamala Harris be more 1959 01:35:34,720 --> 01:35:36,600 Speaker 12: pro abortion. It's not even good enough. And she's for 1960 01:35:36,840 --> 01:35:40,160 Speaker 12: abortion through all nine months that's tax funded. It's obscene, right, 1961 01:35:40,600 --> 01:35:42,639 Speaker 12: And so for the prolog movement to be silent right 1962 01:35:42,680 --> 01:35:45,920 Speaker 12: now and does not say a word of criticism, to 1963 01:35:45,960 --> 01:35:47,840 Speaker 12: say instead, oh, it's fine, whatever you want to do. 1964 01:35:47,920 --> 01:35:50,200 Speaker 12: We don't care as long as you're a little bit better. 1965 01:35:50,240 --> 01:35:52,000 Speaker 12: As long as you're better than Kamala on this, we're 1966 01:35:52,040 --> 01:35:53,840 Speaker 12: going to show up no matter what. I think that 1967 01:35:53,840 --> 01:35:56,160 Speaker 12: it would be a serious mistake. I think it is 1968 01:35:56,200 --> 01:35:58,559 Speaker 12: a responsibility of pro life voters. You know, my top 1969 01:35:58,600 --> 01:36:00,439 Speaker 12: iss she was life. I know that's not Will's, that's okay, 1970 01:36:01,160 --> 01:36:03,760 Speaker 12: he's going a different track. But my top issue is life. 1971 01:36:03,760 --> 01:36:07,400 Speaker 12: Because there's three thousand babies being killed by abortion every 1972 01:36:07,439 --> 01:36:09,600 Speaker 12: single day in this country. If you care about the 1973 01:36:09,640 --> 01:36:12,280 Speaker 12: future of this country, if we care about justice for 1974 01:36:12,360 --> 01:36:15,280 Speaker 12: the most vulnerable and the most innocent, then we would 1975 01:36:15,320 --> 01:36:17,680 Speaker 12: be all caring about this issue. We would all make 1976 01:36:17,760 --> 01:36:20,280 Speaker 12: this our top issue. This is the leading cause of 1977 01:36:20,360 --> 01:36:24,280 Speaker 12: death in America. And so my responsibility is to say 1978 01:36:24,320 --> 01:36:28,479 Speaker 12: stop doing this, GOP, stop pushing towards the left on 1979 01:36:28,520 --> 01:36:31,240 Speaker 12: this and becoming more pro abortion. And I will continue 1980 01:36:31,280 --> 01:36:32,840 Speaker 12: to say that the Democrats, you know there are some 1981 01:36:32,920 --> 01:36:36,120 Speaker 12: pro like Democrats, stop being so radically pro abortion as 1982 01:36:36,120 --> 01:36:39,800 Speaker 12: a party. Instead, why don't you embrace justice and human 1983 01:36:39,880 --> 01:36:43,479 Speaker 12: rights for the most vulnerable and create a better view 1984 01:36:43,560 --> 01:36:45,800 Speaker 12: for women that we don't need to kill our babies 1985 01:36:46,240 --> 01:36:48,880 Speaker 12: as our so called healthcare. We can do better. You know, 1986 01:36:48,880 --> 01:36:51,719 Speaker 12: there's countries like Malta that have one of the lowest 1987 01:36:51,720 --> 01:36:54,160 Speaker 12: maternal mortality rates in the world, and it's a pro 1988 01:36:54,240 --> 01:36:56,720 Speaker 12: life country. We can do this where we love and 1989 01:36:56,800 --> 01:36:59,479 Speaker 12: care for both mom and baby. That should be our demand, 1990 01:36:59,560 --> 01:37:02,280 Speaker 12: not just for the GOP, but for the Democrats as 1991 01:37:02,320 --> 01:37:02,519 Speaker 12: well well. 1992 01:37:02,520 --> 01:37:04,280 Speaker 2: Then I got a question for Will So the effect 1993 01:37:04,280 --> 01:37:07,000 Speaker 2: of this pushback from LYLA and the pro life activism 1994 01:37:07,080 --> 01:37:09,479 Speaker 2: appears to have been something like Trump on the debate 1995 01:37:09,520 --> 01:37:13,559 Speaker 2: stage then disavowing jd vance On saying he would veto 1996 01:37:13,640 --> 01:37:14,720 Speaker 2: a national abortion band. 1997 01:37:14,800 --> 01:37:16,160 Speaker 3: So do you think then that. 1998 01:37:16,880 --> 01:37:19,320 Speaker 2: Like pro life voices like Lila, which are entirely legitimate, 1999 01:37:19,360 --> 01:37:22,040 Speaker 2: I'm not putting that down, would help put could put 2000 01:37:22,080 --> 01:37:24,120 Speaker 2: Trump in a more vulnerable political position. 2001 01:37:25,320 --> 01:37:28,160 Speaker 10: I mean it's possible. I ultimately don't think Trent will 2002 01:37:28,320 --> 01:37:31,559 Speaker 10: end up taking to, you know, tacking too far towards 2003 01:37:31,560 --> 01:37:34,519 Speaker 10: the right, given where you know, we're what two months 2004 01:37:34,520 --> 01:37:37,040 Speaker 10: away from a general election six weeks. Yes, I think 2005 01:37:37,080 --> 01:37:39,720 Speaker 10: that that's the context. And I mean, I just I 2006 01:37:39,760 --> 01:37:42,280 Speaker 10: think I just fundamentally disagree with Lilah's political strategy here. 2007 01:37:42,280 --> 01:37:44,880 Speaker 10: I think that was absolutely appropriate. During the primary, I 2008 01:37:44,920 --> 01:37:47,120 Speaker 10: worked for a different candidate. During the primary. I supported 2009 01:37:47,160 --> 01:37:50,519 Speaker 10: rondas Stantis. I wanted him to win. And you know, 2010 01:37:50,920 --> 01:37:53,240 Speaker 10: even though I'm not personally as pro life as Governor 2011 01:37:53,280 --> 01:37:55,040 Speaker 10: de santis As, I was perfectly happy to support him 2012 01:37:55,040 --> 01:37:57,439 Speaker 10: because I thought he would be a great president. But 2013 01:37:57,479 --> 01:38:00,200 Speaker 10: he didn't win. And you know, the general election is 2014 01:38:00,240 --> 01:38:03,479 Speaker 10: where you know, the two great you know, political forces 2015 01:38:03,479 --> 01:38:06,719 Speaker 10: in our country collide and we see who who's persuading 2016 01:38:06,800 --> 01:38:10,360 Speaker 10: more of the public. And I think that it's really 2017 01:38:10,400 --> 01:38:12,640 Speaker 10: important that the pro life movement recognizes, you know, and 2018 01:38:12,680 --> 01:38:14,960 Speaker 10: this is for its you know, really for itself, for 2019 01:38:15,240 --> 01:38:17,240 Speaker 10: the health of the pro life movement and its political 2020 01:38:17,240 --> 01:38:20,280 Speaker 10: salients going forward, that it's on the right and the 2021 01:38:20,520 --> 01:38:23,360 Speaker 10: Republican Party is the vehicle for its concerns and imperfect 2022 01:38:23,439 --> 01:38:25,240 Speaker 10: as it may be in their eyes, and so it 2023 01:38:25,479 --> 01:38:27,160 Speaker 10: you know, pro life voters should come out and vote 2024 01:38:27,200 --> 01:38:28,720 Speaker 10: for Trump, even if he's in saying things they don't 2025 01:38:28,760 --> 01:38:29,080 Speaker 10: agree with. 2026 01:38:29,280 --> 01:38:32,639 Speaker 1: Well, one last question for you, because you know, Lila 2027 01:38:32,720 --> 01:38:35,000 Speaker 1: pointed out took a lot of the pro life language 2028 01:38:35,000 --> 01:38:37,400 Speaker 1: out of the R and C platform. Jade Vance floats 2029 01:38:37,400 --> 01:38:39,960 Speaker 1: he'd be to a national abortion band. Trump won't really say, 2030 01:38:40,240 --> 01:38:44,640 Speaker 1: but there's certainly been efforts for him to moderate on 2031 01:38:44,720 --> 01:38:46,479 Speaker 1: the issue and even just leaving it to the states. 2032 01:38:46,520 --> 01:38:48,360 Speaker 1: You know, if you view this as murder, it's murder, 2033 01:38:48,360 --> 01:38:51,360 Speaker 1: whether it's having in California's murder of what's happening in Mississippi. 2034 01:38:51,360 --> 01:38:52,680 Speaker 1: That's not the way I view the is shoe, but 2035 01:38:52,720 --> 01:38:53,799 Speaker 1: it's way Lyla and many. 2036 01:38:53,680 --> 01:38:57,120 Speaker 4: Other people do. So if in spite of being thrown 2037 01:38:57,160 --> 01:38:59,080 Speaker 4: under the bus like that. 2038 01:38:59,600 --> 01:39:03,160 Speaker 1: Every pro life voter shows up and votes for Donald Trump, 2039 01:39:03,800 --> 01:39:04,240 Speaker 1: aren't they? 2040 01:39:04,280 --> 01:39:04,439 Speaker 2: Then? 2041 01:39:04,560 --> 01:39:07,679 Speaker 1: You know, can't every Republican president there on forward basically 2042 01:39:07,680 --> 01:39:10,559 Speaker 1: take their vote for granted. And don't they lose power 2043 01:39:10,720 --> 01:39:14,839 Speaker 1: within the coalition if they're not willing to even threaten 2044 01:39:14,960 --> 01:39:15,960 Speaker 1: to withhold their votes. 2045 01:39:17,040 --> 01:39:19,160 Speaker 10: I mean, no, I think I think it's the opposite. Actually, 2046 01:39:19,240 --> 01:39:21,040 Speaker 10: I think the way you demonstrate your power within the 2047 01:39:21,080 --> 01:39:23,760 Speaker 10: coalition is by is in the primary and through your 2048 01:39:23,800 --> 01:39:26,760 Speaker 10: strength in the primary. And you know, Donal Trump's use 2049 01:39:26,840 --> 01:39:29,320 Speaker 10: were not a secret during the primary. He was critical 2050 01:39:29,439 --> 01:39:32,559 Speaker 10: of harpy bills like one that Ronda stands before during 2051 01:39:32,600 --> 01:39:36,720 Speaker 10: the primary, and it didn't matter pulling. You know, he 2052 01:39:36,880 --> 01:39:40,040 Speaker 10: won the primary going away. So I think that that's 2053 01:39:40,080 --> 01:39:42,519 Speaker 10: the place to start. And if you know, I think 2054 01:39:42,560 --> 01:39:45,840 Speaker 10: for any political movement, you know, internal fashion within a 2055 01:39:45,880 --> 01:39:47,559 Speaker 10: party to say, oh, we're going to withhold our vote 2056 01:39:47,560 --> 01:39:49,439 Speaker 10: in the general if you don't do exactly what we want, 2057 01:39:49,479 --> 01:39:52,519 Speaker 10: even though what we want is opposed by sixty five 2058 01:39:52,560 --> 01:39:55,320 Speaker 10: seventy percent of the public. I mean, for you know 2059 01:39:55,600 --> 01:39:58,240 Speaker 10: that suddenly the end result of that is that movement 2060 01:39:58,240 --> 01:40:01,240 Speaker 10: gets more and more marginalized because ultimately, even a lot 2061 01:40:01,240 --> 01:40:04,000 Speaker 10: of followers of that movement do want to win and 2062 01:40:04,040 --> 01:40:06,320 Speaker 10: do want to see that their their faction take power, 2063 01:40:06,400 --> 01:40:09,240 Speaker 10: because we see what happens when the other guys take power. 2064 01:40:09,280 --> 01:40:10,920 Speaker 10: I mean, people need to remember what it was like 2065 01:40:11,000 --> 01:40:12,800 Speaker 10: to have you know. I mean, well, we have Biden 2066 01:40:12,880 --> 01:40:15,559 Speaker 10: right now, but even you know, Obama was absolutely terrible 2067 01:40:15,800 --> 01:40:18,479 Speaker 10: on life and religious conscience when he was in power. 2068 01:40:19,479 --> 01:40:21,280 Speaker 10: You know, think of me, think about cases like the 2069 01:40:21,320 --> 01:40:23,439 Speaker 10: Little Sisters of the War. Why is the Little Sisters 2070 01:40:23,439 --> 01:40:25,840 Speaker 10: of the poor a plaintiff against Barack Obama? Guess what 2071 01:40:25,840 --> 01:40:28,559 Speaker 10: the broke Obama administration was forcing down their throats. 2072 01:40:28,880 --> 01:40:31,800 Speaker 3: So yeah, last word to you, Lilah, and then we 2073 01:40:31,800 --> 01:40:32,120 Speaker 3: got to go. 2074 01:40:32,760 --> 01:40:36,680 Speaker 5: Thank you, thank you so much. Yeah. Briefly, listen what 2075 01:40:36,760 --> 01:40:37,360 Speaker 5: Will is saying. 2076 01:40:37,360 --> 01:40:39,479 Speaker 12: I understand what he's saying, but the reality is, what 2077 01:40:39,560 --> 01:40:42,400 Speaker 12: has happened in the last few weeks is new President 2078 01:40:42,400 --> 01:40:44,799 Speaker 12: Trump coming out saying that he's going to do force 2079 01:40:44,920 --> 01:40:47,160 Speaker 12: tax funded tax fair funded. 2080 01:40:47,080 --> 01:40:49,120 Speaker 5: IVF for all people. This is new. 2081 01:40:49,360 --> 01:40:52,320 Speaker 12: These are not policies that he was doing in the primary. Okay, 2082 01:40:52,920 --> 01:40:56,080 Speaker 12: you know he supports access to abortion pills, this is new. 2083 01:40:56,360 --> 01:40:59,320 Speaker 12: Gutting the Republican Party platform, this is new. They didn't 2084 01:40:59,360 --> 01:41:01,719 Speaker 12: do that in twenty twenty or in twenty sixteen, obviously, 2085 01:41:01,960 --> 01:41:04,280 Speaker 12: So these are new things that are happening. And again 2086 01:41:04,320 --> 01:41:06,680 Speaker 12: I believe it's the responsibility of pro life voters to 2087 01:41:06,760 --> 01:41:09,639 Speaker 12: speak out right now. I do think that Trump will 2088 01:41:09,680 --> 01:41:11,960 Speaker 12: respond and does respond to pressure. I think that's our 2089 01:41:11,960 --> 01:41:14,920 Speaker 12: responsibility to speak out on behalf of the people that 2090 01:41:15,080 --> 01:41:17,360 Speaker 12: don't have a voice, and so that's what we will 2091 01:41:17,400 --> 01:41:19,759 Speaker 12: continue to do because there are lives. 2092 01:41:19,560 --> 01:41:20,000 Speaker 9: On the line. 2093 01:41:20,080 --> 01:41:22,080 Speaker 2: All right, Well, we really appreciate both of you joining us. 2094 01:41:22,080 --> 01:41:24,439 Speaker 2: It's a very interesting conversation, one that you don't generally 2095 01:41:24,439 --> 01:41:26,559 Speaker 2: see on television, So thank you both. 2096 01:41:26,840 --> 01:41:27,960 Speaker 3: We really appreciate it. 2097 01:41:30,880 --> 01:41:32,479 Speaker 1: For a look at whatever the hell is going on 2098 01:41:32,520 --> 01:41:34,479 Speaker 1: in New York City, which I've struggled to comprehend. We 2099 01:41:34,520 --> 01:41:36,360 Speaker 1: are joined by a great friend of the show, journalist 2100 01:41:36,479 --> 01:41:38,639 Speaker 1: Ross Barkin, who is a contributing writer for New York 2101 01:41:38,680 --> 01:41:39,360 Speaker 1: Times magazine. 2102 01:41:39,400 --> 01:41:40,000 Speaker 4: Great Cazar. 2103 01:41:41,320 --> 01:41:43,160 Speaker 9: Good to have me, and it's great to be back. 2104 01:41:43,520 --> 01:41:44,200 Speaker 4: Great to have me. 2105 01:41:44,240 --> 01:41:47,160 Speaker 1: I like that more people need to say that, let's 2106 01:41:47,160 --> 01:41:49,240 Speaker 1: go and put this first hair sheet up on the screen. 2107 01:41:49,280 --> 01:41:51,439 Speaker 1: This is the latest New York Times accounting of some 2108 01:41:51,479 --> 01:41:55,559 Speaker 1: of the developments with Eric Adams and his circle. The 2109 01:41:55,600 --> 01:41:57,840 Speaker 1: headline here is pressure grows on Mayor Adams as key 2110 01:41:57,840 --> 01:42:02,919 Speaker 1: officials leave a mid investigations. We just had two prominent 2111 01:42:02,920 --> 01:42:07,559 Speaker 1: officials resign. We had the police commissioner resigned on Thursday 2112 01:42:07,600 --> 01:42:10,400 Speaker 1: at the request of at city Hall. Lisa Zornberg, the 2113 01:42:10,439 --> 01:42:15,080 Speaker 1: mayor's chief legal advisor, resigned abroughly on Saturday, largely, they say, 2114 01:42:15,080 --> 01:42:17,559 Speaker 1: in frustration over the Mayor's refusal to follow her advice 2115 01:42:17,640 --> 01:42:20,639 Speaker 1: on personnel matters. As I was looking into this, there 2116 01:42:20,640 --> 01:42:23,880 Speaker 1: seemed to be more than a dozen Eric Adams associates 2117 01:42:23,920 --> 01:42:27,160 Speaker 1: who are under some sort of investigation. He himself appears 2118 01:42:27,200 --> 01:42:32,000 Speaker 1: to be under investigation for relationships with the country of Turkey. 2119 01:42:32,439 --> 01:42:36,240 Speaker 1: Can you just help us understand what's going on here 2120 01:42:36,560 --> 01:42:39,120 Speaker 1: and if these are all just like individuals doing their 2121 01:42:39,120 --> 01:42:40,920 Speaker 1: own thing, or if it really all goes back to 2122 01:42:41,280 --> 01:42:42,800 Speaker 1: Mayor Adams himself. 2123 01:42:44,560 --> 01:42:46,200 Speaker 9: A question what's going on? So there. 2124 01:42:47,640 --> 01:42:55,960 Speaker 13: Four federal investigations into Eric Adams and his administration. It 2125 01:42:56,040 --> 01:42:59,280 Speaker 13: is not clear at this point if Adams himself is 2126 01:42:59,320 --> 01:43:04,320 Speaker 13: a target. His phone in one of the investigations was seized. 2127 01:43:04,560 --> 01:43:08,040 Speaker 13: So right now you had the police commissioner who recently 2128 01:43:08,120 --> 01:43:14,280 Speaker 13: resigned because he is under investigation because his twin brother, 2129 01:43:15,320 --> 01:43:20,760 Speaker 13: stay with me, was running a security a consulting firm 2130 01:43:20,800 --> 01:43:24,439 Speaker 13: of some sort that was helping helping in quotation marks 2131 01:43:24,960 --> 01:43:30,040 Speaker 13: restaurants and businesses deal with various nightlife complaints. And this 2132 01:43:30,600 --> 01:43:33,280 Speaker 13: business of this twin brother would allegedly go over to 2133 01:43:33,360 --> 01:43:36,200 Speaker 13: these restaurants and tell them, hey, you know, we can 2134 01:43:36,200 --> 01:43:39,439 Speaker 13: make these complaints go away if you pay us a fee. 2135 01:43:39,800 --> 01:43:42,439 Speaker 13: So you have a sort of possible favor trading there. 2136 01:43:42,840 --> 01:43:46,960 Speaker 13: You've a completely separate investigation into Eric Adams as possible 2137 01:43:47,840 --> 01:43:53,080 Speaker 13: his mayoral campaigns, possible ties to the Turkish government, possibly 2138 01:43:53,160 --> 01:43:58,680 Speaker 13: taking foreign money, which is legal. You have another investigation 2139 01:43:58,920 --> 01:44:04,120 Speaker 13: into a consulting firm being run by a close Adams ally, 2140 01:44:04,680 --> 01:44:09,200 Speaker 13: Tim Pearson, who's very close with the NYPD. You have 2141 01:44:09,360 --> 01:44:11,960 Speaker 13: his deputy mayor for Public Safety and other Adam's ally 2142 01:44:12,080 --> 01:44:15,439 Speaker 13: Philip Banks, he had his phone seized. And then there's 2143 01:44:15,560 --> 01:44:18,360 Speaker 13: yet another investigation. So the question is where does this 2144 01:44:18,439 --> 01:44:21,640 Speaker 13: all go? What does this all mean? It's all very confusing. 2145 01:44:22,160 --> 01:44:24,240 Speaker 13: There are a lot of moving parts we do not 2146 01:44:24,600 --> 01:44:28,479 Speaker 13: know obviously the outcome. If Adams himself will be indicted, 2147 01:44:28,560 --> 01:44:31,120 Speaker 13: I will say no. Sitting mayor of New York City 2148 01:44:31,160 --> 01:44:34,120 Speaker 13: has ever been indicted. But there's always time, there's always 2149 01:44:34,160 --> 01:44:37,439 Speaker 13: the first time for something right. But already Adams has 2150 01:44:37,439 --> 01:44:40,599 Speaker 13: had people in his administration indicted in another separate case, 2151 01:44:40,600 --> 01:44:45,799 Speaker 13: has built his building's commissioner resigned over an indictment related 2152 01:44:45,840 --> 01:44:49,400 Speaker 13: to a completely separate corruption probe. So you have many 2153 01:44:49,479 --> 01:44:53,840 Speaker 13: different corruption probes, you have a lot of possibilities for 2154 01:44:55,040 --> 01:44:59,599 Speaker 13: further resignations, and you have a city that quite frankly, 2155 01:44:59,640 --> 01:45:03,000 Speaker 13: a city government that is somewhat paralyzed right now, that 2156 01:45:03,120 --> 01:45:06,240 Speaker 13: is not governing. It wasn't governing very well before all 2157 01:45:06,280 --> 01:45:10,120 Speaker 13: this started, but certainly now even less has happened. 2158 01:45:10,200 --> 01:45:13,000 Speaker 2: Sticking with that, I want to talk to my personal favorite, 2159 01:45:13,000 --> 01:45:15,880 Speaker 2: which is this idea of business owners being forced to 2160 01:45:15,960 --> 01:45:20,160 Speaker 2: pay protection racket money. Can you tell us some of 2161 01:45:20,200 --> 01:45:21,840 Speaker 2: the details on this is one of those which is 2162 01:45:21,840 --> 01:45:25,040 Speaker 2: often alleged in movies. I did realize it was somewhat real, 2163 01:45:25,120 --> 01:45:27,720 Speaker 2: this idea of like having a pension benefit card any 2164 01:45:27,760 --> 01:45:29,080 Speaker 2: of that. But this seems to go up to the 2165 01:45:29,160 --> 01:45:31,480 Speaker 2: highest levels of the New York administration. 2166 01:45:31,600 --> 01:45:32,640 Speaker 3: Can you talk to us about that? 2167 01:45:33,120 --> 01:45:33,439 Speaker 9: Sure? 2168 01:45:33,560 --> 01:45:39,120 Speaker 13: So, again, this is all you know in various reports 2169 01:45:39,200 --> 01:45:42,439 Speaker 13: that have not been in have been verifying the sense 2170 01:45:42,479 --> 01:45:45,439 Speaker 13: of there in mainstream outlets, but you know, the indictment 2171 01:45:45,479 --> 01:45:50,320 Speaker 13: has not been brought. So basically, as far as we understand, 2172 01:45:51,040 --> 01:45:53,599 Speaker 13: the former police commissioner just resign named Edward Caban. 2173 01:45:53,680 --> 01:45:56,519 Speaker 9: He has a twin brother, James. James is running. 2174 01:45:56,640 --> 01:46:00,240 Speaker 13: James a former NYPD officer who was forced out a 2175 01:46:00,280 --> 01:46:03,720 Speaker 13: long time ago and had issues. He was running this 2176 01:46:03,920 --> 01:46:07,479 Speaker 13: private firm that, as far as I understand, would go 2177 01:46:08,240 --> 01:46:10,479 Speaker 13: to restaurants or. 2178 01:46:10,439 --> 01:46:13,160 Speaker 9: Nightclubs, or nightclubs would come to them. Either way. 2179 01:46:13,360 --> 01:46:16,360 Speaker 13: The nightclub would have you know, maybe they're having an issue, 2180 01:46:16,360 --> 01:46:18,800 Speaker 13: the noise complaint or something with the city. They've been 2181 01:46:18,840 --> 01:46:22,200 Speaker 13: slapped with, you know, some type of fine or something else. Right, 2182 01:46:23,080 --> 01:46:27,400 Speaker 13: these things happen, and so this firm would help you 2183 01:46:28,160 --> 01:46:30,599 Speaker 13: deal with these issues and would take a fee. 2184 01:46:30,800 --> 01:46:30,960 Speaker 11: Right. 2185 01:46:31,160 --> 01:46:33,720 Speaker 13: Of course, the firm is being run by the twin 2186 01:46:33,760 --> 01:46:36,559 Speaker 13: brother of the police commissioner, so you can imagine some 2187 01:46:36,720 --> 01:46:41,080 Speaker 13: of the conflict of interest issues that might surface. 2188 01:46:41,400 --> 01:46:43,400 Speaker 4: Yeah, and how they're securing that help. 2189 01:46:43,640 --> 01:46:44,280 Speaker 3: Yeah, help. 2190 01:46:45,080 --> 01:46:48,160 Speaker 13: Whether this is enough to warrant a crime in the 2191 01:46:48,200 --> 01:46:50,680 Speaker 13: sense that an indictment will come, we don't know, but 2192 01:46:50,800 --> 01:46:53,479 Speaker 13: this is one of the investigations, and it has been 2193 01:46:53,560 --> 01:46:57,400 Speaker 13: enough to force the police commissioner to resign. New York 2194 01:46:57,479 --> 01:46:59,519 Speaker 13: is now on its third police commissioner in a three 2195 01:46:59,600 --> 01:47:04,240 Speaker 13: year peroo, which is quite insane. We had three police 2196 01:47:04,280 --> 01:47:07,040 Speaker 13: commissioners in eight years under build A. Blasio and then 2197 01:47:07,120 --> 01:47:09,559 Speaker 13: one under Michael Bloomberg, So three and three years is 2198 01:47:10,360 --> 01:47:10,800 Speaker 13: so this. 2199 01:47:10,760 --> 01:47:13,320 Speaker 1: Is this is perhaps an impossible question to answer, but 2200 01:47:13,479 --> 01:47:15,240 Speaker 1: you can feel free to baselessly speculate. 2201 01:47:15,360 --> 01:47:16,559 Speaker 4: You know, are these sort. 2202 01:47:16,400 --> 01:47:18,120 Speaker 1: Of things that are just like always going on in 2203 01:47:18,120 --> 01:47:20,320 Speaker 1: New York City government but normally don't see the light 2204 01:47:20,360 --> 01:47:22,880 Speaker 1: of day and some you know, federal prosecutor investigator or 2205 01:47:22,920 --> 01:47:24,720 Speaker 1: whatever got to be in their bonnet and decide they're 2206 01:47:24,720 --> 01:47:26,800 Speaker 1: actually going to crack down on it. Or do you 2207 01:47:26,920 --> 01:47:30,280 Speaker 1: think that there is an atypical level of pay to 2208 01:47:30,360 --> 01:47:34,440 Speaker 1: play corruption scheming occurring under the Atoms administration. 2209 01:47:35,400 --> 01:47:36,440 Speaker 9: I think it's atypical. 2210 01:47:36,520 --> 01:47:40,320 Speaker 13: So I will say there have been investigations into prior mayors. 2211 01:47:40,360 --> 01:47:42,559 Speaker 13: There are inevitably scandals of some sort. 2212 01:47:42,640 --> 01:47:42,920 Speaker 9: Build A. 2213 01:47:43,000 --> 01:47:48,360 Speaker 13: Blasio was investigated, no charges were ever filed. There were 2214 01:47:48,760 --> 01:47:51,639 Speaker 13: Michael Bloomberg himself was not investigated. But there was this 2215 01:47:52,040 --> 01:47:56,360 Speaker 13: city time scandal many years ago that damaged his administration. 2216 01:47:57,000 --> 01:47:59,200 Speaker 9: But this is unusual. 2217 01:47:59,320 --> 01:48:02,120 Speaker 13: You do not see this many investigations, and I think 2218 01:48:02,200 --> 01:48:06,320 Speaker 13: what strikes me is the brazenness. It's very much old 2219 01:48:06,439 --> 01:48:10,240 Speaker 13: school machine politics. But I would add it's old school 2220 01:48:10,280 --> 01:48:13,840 Speaker 13: machine politics without the delivery of public goods attached to it. 2221 01:48:13,920 --> 01:48:17,000 Speaker 13: So you looked at like the old Tamley Hall model. 2222 01:48:17,280 --> 01:48:19,439 Speaker 13: It was corrupt. It was what they would used to 2223 01:48:19,520 --> 01:48:22,120 Speaker 13: call honest graft. You'd take money and get rich, but 2224 01:48:22,240 --> 01:48:25,440 Speaker 13: in turn you'd be kind of delivering something for your constituents. 2225 01:48:25,880 --> 01:48:28,599 Speaker 13: I've argued for a while now, putting aside all the corruption, 2226 01:48:28,760 --> 01:48:32,479 Speaker 13: Adams has not been a very effective mayor because he hasn't. 2227 01:48:32,280 --> 01:48:33,479 Speaker 9: Accomplished very much. 2228 01:48:33,680 --> 01:48:35,920 Speaker 13: And I think most voters look at him and just 2229 01:48:35,960 --> 01:48:39,519 Speaker 13: see a mayor flailing about who's not serious and who 2230 01:48:39,520 --> 01:48:42,400 Speaker 13: now is appears to be corrupt, and they don't see 2231 01:48:42,400 --> 01:48:44,679 Speaker 13: their city getting better, and they don't see what they're 2232 01:48:44,720 --> 01:48:48,040 Speaker 13: what they're getting in return. I think that's a big 2233 01:48:48,080 --> 01:48:51,360 Speaker 13: issue for him. So it's atypical to see this many investigations. 2234 01:48:51,920 --> 01:48:55,679 Speaker 13: And then further, I'd say it's atypical and certainly modern 2235 01:48:55,760 --> 01:48:59,160 Speaker 13: times for a mayor to be three years plus into 2236 01:48:59,160 --> 01:49:02,760 Speaker 13: their first term and not really have any signature achievement 2237 01:49:03,120 --> 01:49:06,599 Speaker 13: that people can remotely talk about or remember. 2238 01:49:07,360 --> 01:49:08,800 Speaker 1: Yeah, so we got to get back to those good 2239 01:49:08,800 --> 01:49:13,240 Speaker 1: old tammany holidays, agree, honest graph Ross. At the same time, 2240 01:49:13,280 --> 01:49:14,920 Speaker 1: I also wanted to get you to weigh on an 2241 01:49:14,960 --> 01:49:19,799 Speaker 1: extraordinary and deeply disturbing situation that's unfolding. Their protests now 2242 01:49:19,840 --> 01:49:25,759 Speaker 1: over the NYPD's handling bloody handling of a fair evader 2243 01:49:25,960 --> 01:49:28,479 Speaker 1: on the subways. So we've put up e two guys 2244 01:49:28,520 --> 01:49:30,760 Speaker 1: just to see a little bit of the protests over 2245 01:49:30,800 --> 01:49:36,920 Speaker 1: this NYPD shooting various people over this fair evasion. We 2246 01:49:36,920 --> 01:49:38,840 Speaker 1: could go ahead and put also this tear sheet up 2247 01:49:38,840 --> 01:49:41,240 Speaker 1: on the screen to talk about some of the details here. 2248 01:49:41,560 --> 01:49:45,240 Speaker 1: Four people were shot after police opened fire on what 2249 01:49:45,240 --> 01:49:47,959 Speaker 1: they're describing as a knife wielding subway fair evader. 2250 01:49:48,400 --> 01:49:50,280 Speaker 4: Some questions now emerging about that knife. 2251 01:49:50,280 --> 01:49:53,280 Speaker 1: I'll let you lay that out for us, Ross, But effectively, 2252 01:49:53,320 --> 01:49:55,479 Speaker 1: what they say is that four people are shot, including 2253 01:49:55,520 --> 01:49:58,439 Speaker 1: a New York Police officer, by quote unquote friendly fire 2254 01:49:58,520 --> 01:50:00,920 Speaker 1: when two officers open fire will suing a subway rider 2255 01:50:00,960 --> 01:50:04,320 Speaker 1: who didn't pay his fare. The man jumped back onto 2256 01:50:04,400 --> 01:50:07,720 Speaker 1: the subway platform started approaching one of the officers with 2257 01:50:07,840 --> 01:50:11,640 Speaker 1: this alleged knife. Both officers fired their guns as they 2258 01:50:11,680 --> 01:50:14,599 Speaker 1: handcuffed the man. One of the officers realized he himself 2259 01:50:14,600 --> 01:50:17,320 Speaker 1: had been shot was bleeding from his chest. The bullet 2260 01:50:17,360 --> 01:50:20,160 Speaker 1: struck under the officer's left armpit, missing his vest and 2261 01:50:20,200 --> 01:50:24,639 Speaker 1: lodging in his back. Two random innocent bystanders, a man 2262 01:50:24,680 --> 01:50:26,920 Speaker 1: and a woman, also shot by police. The woman was 2263 01:50:27,000 --> 01:50:29,680 Speaker 1: grazed by a bullet and the man was struck in 2264 01:50:29,960 --> 01:50:34,639 Speaker 1: the head. The sub suspect, whose name has not yet 2265 01:50:34,680 --> 01:50:38,439 Speaker 1: been publicly released, has apparently, you know, a long track record, 2266 01:50:38,560 --> 01:50:41,160 Speaker 1: arrested more than twenty times, history of mental illness, etc. 2267 01:50:41,479 --> 01:50:43,479 Speaker 1: But all of this starts with someone you know effectively 2268 01:50:43,520 --> 01:50:46,240 Speaker 1: jumping the turnstile over a two dollars and ninety cents 2269 01:50:46,280 --> 01:50:46,960 Speaker 1: subway fare. 2270 01:50:48,880 --> 01:50:52,320 Speaker 9: Yes, and it's really a terrible episode. 2271 01:50:52,360 --> 01:50:55,280 Speaker 13: And I think it speaks to the fact that in 2272 01:50:55,280 --> 01:51:02,559 Speaker 13: too many cases police are called in to handle issues 2273 01:51:02,640 --> 01:51:06,640 Speaker 13: or handling issues in such ways where they're not necessary 2274 01:51:06,800 --> 01:51:10,559 Speaker 13: or certainly one should not be drawing their gun to 2275 01:51:10,680 --> 01:51:12,880 Speaker 13: stop a fair evader. I think that that is the 2276 01:51:12,920 --> 01:51:17,439 Speaker 13: real problem. Supposedly he wielded a knife or brandished it, 2277 01:51:17,640 --> 01:51:22,000 Speaker 13: but then you're shooting enough to hit him, to hit others, 2278 01:51:22,080 --> 01:51:25,200 Speaker 13: hit a police officer. So it's this rank and confidence 2279 01:51:26,320 --> 01:51:30,679 Speaker 13: combined with features of the system which you know police 2280 01:51:30,720 --> 01:51:34,040 Speaker 13: are trained in a certain way, and there's also a 2281 01:51:34,080 --> 01:51:37,800 Speaker 13: big push now to crack down fair evasion. It's actually 2282 01:51:37,800 --> 01:51:40,440 Speaker 13: a much bigger issue on the buses than the subways, 2283 01:51:41,400 --> 01:51:45,240 Speaker 13: and it's something that on one hand, no one should 2284 01:51:45,560 --> 01:51:47,599 Speaker 13: evade the fair like I think it should be paid. 2285 01:51:48,280 --> 01:51:51,120 Speaker 9: But this is also one of those problems where. 2286 01:51:51,439 --> 01:51:54,519 Speaker 13: If the MTA had better gates like they have in 2287 01:51:54,560 --> 01:51:59,000 Speaker 13: other countries, one couldn't really evade the fair of the subway. 2288 01:51:58,760 --> 01:52:01,000 Speaker 9: And you also would have running around the gun. 2289 01:52:01,160 --> 01:52:04,439 Speaker 13: So you kind of start there with there should just 2290 01:52:04,439 --> 01:52:10,320 Speaker 13: be better security, physical security infrastructure at the subway stations, 2291 01:52:10,320 --> 01:52:13,320 Speaker 13: which you see in other foreign metro systems. And of 2292 01:52:13,360 --> 01:52:19,800 Speaker 13: course the MTA in most American authorities and bureaucracies are 2293 01:52:19,880 --> 01:52:22,439 Speaker 13: very bad at spending money and run way over budget, 2294 01:52:22,520 --> 01:52:24,559 Speaker 13: so things that you could do in Asia in Europe 2295 01:52:24,640 --> 01:52:29,000 Speaker 13: for fractioning the costs become these insane endeavors where it 2296 01:52:29,000 --> 01:52:32,080 Speaker 13: should be very easy to secure subway stations and build 2297 01:52:32,160 --> 01:52:34,960 Speaker 13: just nice new gates so one doesn't hop the sort 2298 01:52:35,040 --> 01:52:38,280 Speaker 13: turnstile and then therefore one is not being chased by 2299 01:52:38,320 --> 01:52:39,800 Speaker 13: a cop of the gun. So it's kind of like 2300 01:52:39,840 --> 01:52:45,439 Speaker 13: all these various problems converging kind of at one time. 2301 01:52:46,000 --> 01:52:49,200 Speaker 13: But you know, also New York is a real problem 2302 01:52:49,240 --> 01:52:51,639 Speaker 13: which which we've talked about actually on the show before, 2303 01:52:51,640 --> 01:52:54,479 Speaker 13: dealing with mentally ill people. There's a lot of mentally 2304 01:52:54,520 --> 01:52:56,400 Speaker 13: ill people on the streets who should not be. 2305 01:52:56,360 --> 01:52:56,920 Speaker 9: On the streets. 2306 01:52:56,960 --> 01:52:59,160 Speaker 13: I think one thing I'll say about Eric Adams, and 2307 01:52:59,200 --> 01:53:03,920 Speaker 13: he's been correct about, is that authorities need to be 2308 01:53:04,000 --> 01:53:07,160 Speaker 13: more aggressive at getting mentally ill people help and getting 2309 01:53:07,160 --> 01:53:11,200 Speaker 13: them to secure facilities, not prisons, but places where they 2310 01:53:11,200 --> 01:53:13,960 Speaker 13: can really be medicated and kind of have their lives 2311 01:53:14,040 --> 01:53:17,600 Speaker 13: restored to a degree. But at the same time, you know, 2312 01:53:17,720 --> 01:53:19,600 Speaker 13: setting a cop out with the gun is not the 2313 01:53:19,640 --> 01:53:23,080 Speaker 13: way to do it. You also need the infrastructure, you 2314 01:53:23,120 --> 01:53:26,560 Speaker 13: need the facilities, need the mental health services, the psychiatric 2315 01:53:26,640 --> 01:53:30,479 Speaker 13: hospitals which we close down over the many decades to 2316 01:53:30,600 --> 01:53:33,439 Speaker 13: house these sort of people. So you see kind of 2317 01:53:33,520 --> 01:53:38,120 Speaker 13: an episode of real incompetence in the NYPD, which isn't new. 2318 01:53:38,880 --> 01:53:40,400 Speaker 9: And then I think you. 2319 01:53:40,280 --> 01:53:44,400 Speaker 13: Take all these bigger macro issues and this is an 2320 01:53:44,400 --> 01:53:48,200 Speaker 13: instant that you wouldn't really see in other countries. And 2321 01:53:48,280 --> 01:53:50,880 Speaker 13: I think if you speak to all these issues, you 2322 01:53:50,880 --> 01:53:51,799 Speaker 13: can kind of see. 2323 01:53:51,560 --> 01:53:54,920 Speaker 1: Why confluence of a lot of things lasting ross to 2324 01:53:55,000 --> 01:53:56,120 Speaker 1: that point about incompetence. 2325 01:53:56,120 --> 01:53:57,320 Speaker 4: You can put this up on the screen. 2326 01:53:57,479 --> 01:54:01,080 Speaker 1: So the police said on Monday, we're searching for a 2327 01:54:01,120 --> 01:54:05,680 Speaker 1: man who allegedly removed that knife from the scene of 2328 01:54:05,720 --> 01:54:10,000 Speaker 1: that police shooting at the Brooklyn subway station. That contradicted 2329 01:54:10,080 --> 01:54:14,160 Speaker 1: an earlier claim that they had recovered the weapon from 2330 01:54:14,240 --> 01:54:17,879 Speaker 1: the scene. They said later that it was a different knife. 2331 01:54:18,200 --> 01:54:20,680 Speaker 1: So what exactly is going on here is best we 2332 01:54:20,680 --> 01:54:21,080 Speaker 1: can tell. 2333 01:54:23,120 --> 01:54:27,080 Speaker 13: I mean, I would say just to sure reports incompetence 2334 01:54:27,400 --> 01:54:31,800 Speaker 13: and also could be lying involved. I mean, police do lie, 2335 01:54:32,600 --> 01:54:39,240 Speaker 13: but I'd say never, never underestimate rank incompetence. 2336 01:54:39,280 --> 01:54:39,440 Speaker 2: You know. 2337 01:54:39,920 --> 01:54:42,840 Speaker 13: I'm a bit of an Ockham's razor person. Yeah, I 2338 01:54:42,920 --> 01:54:45,200 Speaker 13: tend to think, okay, you know, I think the average 2339 01:54:45,360 --> 01:54:46,760 Speaker 13: not the average person. But I think i'd say a 2340 01:54:46,760 --> 01:54:50,160 Speaker 13: lot of people in politics think, oh, this is odd conspiracy, right, 2341 01:54:50,200 --> 01:54:51,960 Speaker 13: And then I think most of the time, like the 2342 01:54:52,000 --> 01:54:55,560 Speaker 13: Trump assassination attempt, the more you read about it, the 2343 01:54:55,560 --> 01:54:58,360 Speaker 13: more you realize it it was just a real screw up. 2344 01:54:58,400 --> 01:55:02,360 Speaker 13: I mean a real security failure and lack of coordination. 2345 01:55:02,480 --> 01:55:05,640 Speaker 13: So here at the police, I mean it's Look, the 2346 01:55:05,760 --> 01:55:08,680 Speaker 13: NYPD is not I would I would say, in one hand, 2347 01:55:08,760 --> 01:55:11,080 Speaker 13: it's a better trained police force and a lot of 2348 01:55:11,120 --> 01:55:14,520 Speaker 13: others across America. I'd rather deal with the NYPD than 2349 01:55:14,720 --> 01:55:18,800 Speaker 13: some like small town, small time police that are paid 2350 01:55:19,000 --> 01:55:22,600 Speaker 13: less money and go through less training and don't have 2351 01:55:22,760 --> 01:55:26,360 Speaker 13: sort of the awareness of these kinds of situations. At 2352 01:55:26,400 --> 01:55:29,440 Speaker 13: the same time, Look, you've got a lot of you know, 2353 01:55:29,720 --> 01:55:32,280 Speaker 13: cops who are in there. I don't know much about 2354 01:55:32,280 --> 01:55:33,960 Speaker 13: these police officers. A lot of they're just in their 2355 01:55:33,960 --> 01:55:37,800 Speaker 13: twenties and they didn't go they didn't really get much education, 2356 01:55:37,920 --> 01:55:39,680 Speaker 13: and they do some training and then they're on the 2357 01:55:39,680 --> 01:55:43,040 Speaker 13: force of like twenty two to twenty three and you 2358 01:55:43,080 --> 01:55:46,080 Speaker 13: get problems like this. And so I do think we 2359 01:55:46,160 --> 01:55:50,960 Speaker 13: need honestly better policing. I don't think we need the 2360 01:55:51,040 --> 01:55:54,520 Speaker 13: absence of policing, but we do need better police on 2361 01:55:54,560 --> 01:55:57,560 Speaker 13: the force. And that's like, that's a bigger conversation, right, 2362 01:55:58,160 --> 01:55:59,880 Speaker 13: But I do think, like I think of policing like 2363 01:55:59,880 --> 01:56:03,880 Speaker 13: the German model. Germany has like a highly trained police force. 2364 01:56:03,920 --> 01:56:06,080 Speaker 13: When I understand and they go through like years of 2365 01:56:06,120 --> 01:56:11,400 Speaker 13: sort of education and really are prepared to be out 2366 01:56:11,480 --> 01:56:14,000 Speaker 13: in the world. I do think with the NYPD and 2367 01:56:14,040 --> 01:56:17,040 Speaker 13: most American police, you're just you're getting You're giving very young, 2368 01:56:17,120 --> 01:56:21,480 Speaker 13: inexperienced people guns. You're telling them go out and go 2369 01:56:21,520 --> 01:56:24,080 Speaker 13: to these neighborhoods that are you know, not like the 2370 01:56:24,080 --> 01:56:26,360 Speaker 13: neighborhoods they know. And I don't know much about this 2371 01:56:26,400 --> 01:56:29,120 Speaker 13: police officer. That's typically what you see. 2372 01:56:29,400 --> 01:56:32,160 Speaker 1: Yeah, it's part of a confluence of some of the 2373 01:56:32,320 --> 01:56:35,960 Speaker 1: you know, the worst ills of American untreated mental illness, 2374 01:56:36,160 --> 01:56:40,640 Speaker 1: you know, viol relatively compared to other similarly developed countries, 2375 01:56:40,760 --> 01:56:45,080 Speaker 1: violence society, cops that are insufficiently trained to or you know, 2376 01:56:45,480 --> 01:56:49,000 Speaker 1: perhaps feel fearful in the situation anyway. So and it 2377 01:56:49,120 --> 01:56:51,200 Speaker 1: ends in absolute horror. Ross thank you so much for 2378 01:56:51,240 --> 01:56:52,880 Speaker 1: breaking all these issues down, because I've been trying to 2379 01:56:52,880 --> 01:56:53,880 Speaker 1: figure out what the hell's going on. 2380 01:56:53,920 --> 01:56:54,840 Speaker 4: I really appreciate it. 2381 01:56:54,840 --> 01:56:56,120 Speaker 3: Thanks man, We appreciate you well. 2382 01:56:56,120 --> 01:56:57,680 Speaker 9: It's happy to be here. Thank you so much. 2383 01:56:57,880 --> 01:56:58,520 Speaker 4: That's our pleasure. 2384 01:56:59,080 --> 01:57:00,840 Speaker 3: Thanks so much for watching, guys. We appreciate you. 2385 01:57:00,920 --> 01:57:02,960 Speaker 2: Become a prem subscriber if you want the show early, 2386 01:57:03,040 --> 01:57:04,560 Speaker 2: otherwise we'll see you guys later