1 00:00:05,040 --> 00:00:08,600 Speaker 1: On this episode of newts World, the George Soros Empire 2 00:00:08,840 --> 00:00:11,959 Speaker 1: is now the Alex Soros Empire and the son is 3 00:00:12,039 --> 00:00:16,799 Speaker 1: even more radical than the father. In June twenty twenty three, 4 00:00:17,040 --> 00:00:20,440 Speaker 1: it was finally made official Alex Soros would be taking 5 00:00:20,440 --> 00:00:23,640 Speaker 1: over the empire started by his father, who has contributed 6 00:00:24,120 --> 00:00:27,640 Speaker 1: thirty two billion dollars of his own liney to the 7 00:00:27,680 --> 00:00:31,920 Speaker 1: cause of left wing ideas. As the news broke, one 8 00:00:32,040 --> 00:00:35,280 Speaker 1: question echoed around the world, what will the future of 9 00:00:35,320 --> 00:00:39,640 Speaker 1: Soros's influence look like? In his new book, The Air 10 00:00:40,320 --> 00:00:44,680 Speaker 1: Inside the Not So Secret Network of Alex Soros, Matt 11 00:00:44,760 --> 00:00:49,240 Speaker 1: Palombo investigates the transformation underway. This is not the end 12 00:00:49,680 --> 00:00:54,360 Speaker 1: of Soros backed radicalism, It's just the beginning. I'm really 13 00:00:54,360 --> 00:00:58,000 Speaker 1: pleased to welcome my guest, Matt Palombo. He's the content 14 00:00:58,080 --> 00:01:01,720 Speaker 1: manager of bonginoreport dot com and the best selling author 15 00:01:01,760 --> 00:01:19,280 Speaker 1: of nine books. Matt, welcome and thank you for joining 16 00:01:19,319 --> 00:01:20,360 Speaker 1: me again on new Chorld. 17 00:01:21,080 --> 00:01:22,960 Speaker 2: It's always good to be auto with you. I think 18 00:01:23,080 --> 00:01:25,920 Speaker 2: the George Sorows book was the last we discussed together, 19 00:01:26,040 --> 00:01:29,160 Speaker 2: and a lot has obviously happened since then. I wrote 20 00:01:29,200 --> 00:01:32,680 Speaker 2: a front cover story for The New York post, and 21 00:01:32,720 --> 00:01:35,440 Speaker 2: it was actually unintentional. They asked me to write a 22 00:01:35,480 --> 00:01:37,240 Speaker 2: story and didn't tell me they were going to make 23 00:01:37,280 --> 00:01:40,080 Speaker 2: it the front cover story. So that was an interesting 24 00:01:40,120 --> 00:01:42,840 Speaker 2: surprise to way up to one day in twenty twenty three. 25 00:01:43,040 --> 00:01:46,320 Speaker 2: But that helped kind of give the book new life 26 00:01:46,360 --> 00:01:49,360 Speaker 2: and helped spread it quite a bit. And one of 27 00:01:49,400 --> 00:01:53,440 Speaker 2: the most surreal things that came from it was I 28 00:01:53,480 --> 00:01:57,200 Speaker 2: got invited on Harris Faulkner's show and she had me 29 00:01:57,320 --> 00:02:00,440 Speaker 2: talk about the exact same topic they wouldn't let you 30 00:02:00,560 --> 00:02:04,760 Speaker 2: talk about. So there is some bizarre shift in I 31 00:02:04,800 --> 00:02:08,560 Speaker 2: don't know, the normalization of going after George Soros or something, 32 00:02:08,639 --> 00:02:12,040 Speaker 2: and I would like to think I maybe contributed slightly 33 00:02:12,080 --> 00:02:14,160 Speaker 2: to that. I don't know if I can really claim credit, 34 00:02:14,200 --> 00:02:17,600 Speaker 2: but I think the Boogeyman's status or people being afraid 35 00:02:17,680 --> 00:02:20,520 Speaker 2: to even be accused of being anti Semitic or something 36 00:02:20,600 --> 00:02:22,920 Speaker 2: for going after him has faded a little bit. So 37 00:02:23,560 --> 00:02:25,560 Speaker 2: now we're all eyes are on the sun. And he 38 00:02:25,720 --> 00:02:29,520 Speaker 2: is definitely much more open than his father in terms 39 00:02:29,520 --> 00:02:31,400 Speaker 2: of his influence, which has helped me quite a bit 40 00:02:31,440 --> 00:02:33,240 Speaker 2: in writing the book. I'm grateful to him for that. 41 00:02:33,720 --> 00:02:36,120 Speaker 1: But so before we jump into the book, which is 42 00:02:36,160 --> 00:02:40,600 Speaker 1: I think a very important contribution to understanding what's happening 43 00:02:40,560 --> 00:02:43,200 Speaker 1: in how things are going on. Tell us just from 44 00:02:43,240 --> 00:02:46,360 Speaker 1: here about your day job as content manager for the 45 00:02:46,360 --> 00:02:50,320 Speaker 1: Bongino Report, which is one of the leading conservative news aggregators. 46 00:02:51,400 --> 00:02:54,720 Speaker 2: Yeah. So back in late twenty nineteen, I was working 47 00:02:54,760 --> 00:02:57,640 Speaker 2: a very very boring job at a bank I won't 48 00:02:57,680 --> 00:03:00,000 Speaker 2: name him, and I got a call from Dan bong 49 00:03:00,440 --> 00:03:03,240 Speaker 2: and he said, Hey, I'm starting a new website and 50 00:03:03,280 --> 00:03:05,480 Speaker 2: you're going to run it. And I thought, all right, perfect, 51 00:03:05,480 --> 00:03:08,800 Speaker 2: I'm out of here. So very shortly after we launched 52 00:03:08,840 --> 00:03:12,960 Speaker 2: bonginoreport dot com. It was an alternative to Drudge Report, 53 00:03:13,160 --> 00:03:17,440 Speaker 2: and Drudge for forever basically was the leading conservative aggregator, 54 00:03:17,880 --> 00:03:21,480 Speaker 2: pretty much the only one. There was a very noticeable 55 00:03:21,560 --> 00:03:25,360 Speaker 2: shift to either the center left to the left in 56 00:03:25,400 --> 00:03:28,080 Speaker 2: recent years under Trump. He seemed to have some sort 57 00:03:28,120 --> 00:03:32,680 Speaker 2: of vendetta against Trump and that influences coverage everywhere. There's 58 00:03:32,680 --> 00:03:35,560 Speaker 2: been rumors that he sold the site, but I haven't 59 00:03:35,560 --> 00:03:37,640 Speaker 2: seen in the evidence that that's actually the case. So 60 00:03:38,200 --> 00:03:41,080 Speaker 2: that was the genesis of Bungina Report, and we just 61 00:03:41,120 --> 00:03:43,400 Speaker 2: try to educate people the best we can on a 62 00:03:43,520 --> 00:03:47,520 Speaker 2: diverse array of topics. It's mostly politics, but we throw 63 00:03:47,600 --> 00:03:51,080 Speaker 2: you know, sports and entertainment, hell, fitness, and some other 64 00:03:51,160 --> 00:03:54,400 Speaker 2: topics on the website, just so it's more of a 65 00:03:54,440 --> 00:03:57,280 Speaker 2: one stop shop. We have an opinion section that will 66 00:03:57,440 --> 00:04:00,760 Speaker 2: feature yours truly quite often and a lot of other 67 00:04:00,880 --> 00:04:02,640 Speaker 2: very well known authors. So that's what I've been doing. 68 00:04:02,760 --> 00:04:05,240 Speaker 2: This is actually my last month there, but it's going 69 00:04:05,320 --> 00:04:06,960 Speaker 2: to be in very very good hands. 70 00:04:07,440 --> 00:04:10,400 Speaker 1: You have really, you and Dan have really built that 71 00:04:10,480 --> 00:04:14,920 Speaker 1: into a very significant website in terms of conservative networking. 72 00:04:15,640 --> 00:04:18,360 Speaker 2: Thank you so much. Yeah, it's helped me a lot professionally, 73 00:04:18,360 --> 00:04:20,159 Speaker 2: and I know it's helped educate a lot of people. 74 00:04:20,240 --> 00:04:22,279 Speaker 2: But I've had a lot of great contacts and I 75 00:04:22,360 --> 00:04:24,360 Speaker 2: met you and your team through it, so it's helped 76 00:04:24,400 --> 00:04:25,080 Speaker 2: me tremendously. 77 00:04:25,880 --> 00:04:28,560 Speaker 1: Before we get to your new book, I have to 78 00:04:28,600 --> 00:04:32,039 Speaker 1: ask you, since you wrote Dumb and Dumber, how Cuomo 79 00:04:32,120 --> 00:04:35,080 Speaker 1: and de Blasio ruined New York, we sort of have 80 00:04:35,200 --> 00:04:38,119 Speaker 1: gone way beyond to Bosio. I mean, what's your view 81 00:04:38,680 --> 00:04:42,120 Speaker 1: of Zoran mom Donnie as the new mayor of New York. 82 00:04:42,920 --> 00:04:46,239 Speaker 2: Well, fisically, we already know what's going to happen, because 83 00:04:46,240 --> 00:04:49,080 Speaker 2: it's going to be a continuation of what is already happening, 84 00:04:49,120 --> 00:04:52,240 Speaker 2: and there being a wealth exodus, a person exodus, and 85 00:04:53,080 --> 00:04:55,279 Speaker 2: you know, as someone who is in New Jersey or 86 00:04:55,360 --> 00:04:58,880 Speaker 2: even if you're in any surrounding state, even more liberals 87 00:04:58,920 --> 00:05:02,400 Speaker 2: are leaving to join your state. So you know, not 88 00:05:02,440 --> 00:05:05,400 Speaker 2: only is the exodus bad for the state itself losing people, 89 00:05:05,920 --> 00:05:09,760 Speaker 2: the people leaving are predominantly liberals who don't understand cause 90 00:05:09,800 --> 00:05:12,479 Speaker 2: and effect and don't realize that their own voting is 91 00:05:12,480 --> 00:05:15,359 Speaker 2: what's causing the policies that caused them to leave, so 92 00:05:15,400 --> 00:05:18,880 Speaker 2: they turn the surrounding states more blue. I mean Vermont 93 00:05:19,040 --> 00:05:21,400 Speaker 2: very famously was a bred state for a while. It 94 00:05:21,520 --> 00:05:24,520 Speaker 2: was immigration from New York that turned it blue. So 95 00:05:25,240 --> 00:05:26,640 Speaker 2: it's not going to be good for people like me 96 00:05:26,680 --> 00:05:30,280 Speaker 2: in Jersey. But then also he is an anti police 97 00:05:30,320 --> 00:05:33,880 Speaker 2: to fund the police guy. His chief of staff supports 98 00:05:34,240 --> 00:05:37,680 Speaker 2: putting social workers and sending them instead of police. And 99 00:05:38,240 --> 00:05:42,600 Speaker 2: it's policies where just one question can collapse the idea 100 00:05:42,680 --> 00:05:44,800 Speaker 2: it's okay, what if they have a knife, what if 101 00:05:44,839 --> 00:05:48,160 Speaker 2: they have a gun, And they always give some fantastical 102 00:05:48,240 --> 00:05:51,479 Speaker 2: answer of well, in a perfect world they wouldn't have one. Well, 103 00:05:51,600 --> 00:05:54,320 Speaker 2: we don't live in that world. Other ideas like having 104 00:05:54,400 --> 00:05:58,560 Speaker 2: fair free buses or continuing to not enforce the fare 105 00:05:58,600 --> 00:06:01,840 Speaker 2: in the subway has sec order effects in terms of crime, 106 00:06:01,960 --> 00:06:05,240 Speaker 2: and that you know, on an individual basis. You know, 107 00:06:05,240 --> 00:06:08,479 Speaker 2: if I don't pay my fare, I get onto the subway. Okay, 108 00:06:08,480 --> 00:06:12,760 Speaker 2: they're at three bucks. Someone who doesn't understand crime could say, well, 109 00:06:12,880 --> 00:06:15,520 Speaker 2: the cost of processing you and blah blah blah is 110 00:06:15,600 --> 00:06:18,440 Speaker 2: more than three dollars. So what's the point. And what 111 00:06:18,520 --> 00:06:21,760 Speaker 2: they're missing is the second order effect, and that of 112 00:06:21,960 --> 00:06:25,560 Speaker 2: all people who commit crimes on the subway and by extension, 113 00:06:25,600 --> 00:06:28,640 Speaker 2: the bus, basically one hundred percent of them don't pay 114 00:06:28,640 --> 00:06:32,120 Speaker 2: the fare. So it is a great filtering mechanism by 115 00:06:32,200 --> 00:06:34,760 Speaker 2: enforcing that one hundred percent. And for a long time, 116 00:06:34,839 --> 00:06:38,000 Speaker 2: Costco that was their business model was to have a 117 00:06:38,040 --> 00:06:40,880 Speaker 2: barrier to entry in terms of the fee you have 118 00:06:40,960 --> 00:06:44,200 Speaker 2: to pay, and that pretty much filtered out anyone who 119 00:06:44,200 --> 00:06:46,880 Speaker 2: would choplift and it'd cause other sorts of problems. So 120 00:06:47,560 --> 00:06:50,240 Speaker 2: we need that for you know, just law and order 121 00:06:50,240 --> 00:06:51,040 Speaker 2: reasons as well. 122 00:06:51,760 --> 00:06:55,000 Speaker 1: Why do you think mom Donne emerged and I mean 123 00:06:55,040 --> 00:06:57,320 Speaker 1: he got fifty percent of the mode in a three 124 00:06:57,320 --> 00:06:59,720 Speaker 1: way field what do you think is happening. 125 00:07:01,120 --> 00:07:04,960 Speaker 2: Well, it's depressing at this works on adults. I would 126 00:07:05,000 --> 00:07:08,040 Speaker 2: say he ran a good campaign in the sense that 127 00:07:08,560 --> 00:07:11,240 Speaker 2: it's the campaign I would have run running for high 128 00:07:11,280 --> 00:07:15,400 Speaker 2: school class president or middle school class president and there's 129 00:07:15,440 --> 00:07:17,160 Speaker 2: not going to be any homework and we're going to a 130 00:07:17,200 --> 00:07:20,240 Speaker 2: skate park side school. It was that kind of campaign. 131 00:07:20,400 --> 00:07:24,280 Speaker 2: And whatever sort of fake charisma he had seems to 132 00:07:24,320 --> 00:07:27,720 Speaker 2: fool the left. He has the almost identical fake smile 133 00:07:27,800 --> 00:07:31,240 Speaker 2: that AOC has when they're trying to resonate with people. 134 00:07:31,400 --> 00:07:34,760 Speaker 2: It really just worked. And his social media army was 135 00:07:34,880 --> 00:07:38,880 Speaker 2: very effective as well. They would pose videos of him 136 00:07:38,960 --> 00:07:41,560 Speaker 2: just being a human being and blow it up as 137 00:07:41,640 --> 00:07:43,960 Speaker 2: oh my god, look how lucky we are to have him, 138 00:07:44,200 --> 00:07:47,000 Speaker 2: or things in that category. I hit him going to 139 00:07:47,040 --> 00:07:49,880 Speaker 2: a bar nightclub and oh my god, when was the 140 00:07:49,960 --> 00:07:52,320 Speaker 2: last time you can remember a candidate doing this? And 141 00:07:52,360 --> 00:07:54,120 Speaker 2: I'm thinking, well, yeah, he wants to win an election. 142 00:07:54,240 --> 00:07:56,480 Speaker 2: This isn't rocket science here. He's tried to appeal to 143 00:07:56,560 --> 00:07:59,560 Speaker 2: as many people as possible, so, to be honest, the 144 00:07:59,600 --> 00:08:04,720 Speaker 2: fact that he only got marginally over fifty percent, given 145 00:08:04,800 --> 00:08:08,360 Speaker 2: how much he did out campaign his competitors, if you 146 00:08:08,440 --> 00:08:11,080 Speaker 2: do a campaign adjusted basis. I think he would have 147 00:08:11,160 --> 00:08:13,920 Speaker 2: lost when we out campaigned him, but it was enough 148 00:08:13,960 --> 00:08:16,600 Speaker 2: to win. And we already know how the story is 149 00:08:16,640 --> 00:08:19,559 Speaker 2: gonna end. It only really ends positively if he can't 150 00:08:19,560 --> 00:08:22,000 Speaker 2: get done anything he wants to get done. I saw 151 00:08:22,040 --> 00:08:25,080 Speaker 2: a report yesterday he's going to be calling Donald Trump. 152 00:08:25,560 --> 00:08:28,480 Speaker 2: I guess to try to fall out that relationship because 153 00:08:28,880 --> 00:08:31,520 Speaker 2: Trump ahead of the election said he was gonna freeze 154 00:08:31,560 --> 00:08:35,600 Speaker 2: federal funding. He sort of walked it back, but Bloomberg 155 00:08:35,679 --> 00:08:39,640 Speaker 2: yesterday was quoting Trump insiders as saying they do have 156 00:08:39,840 --> 00:08:43,720 Speaker 2: certain programs in mind they're gonna target potentially. So I 157 00:08:43,760 --> 00:08:46,560 Speaker 2: think Zoran is gonna try to maybe fall out that 158 00:08:46,640 --> 00:08:49,040 Speaker 2: relationship or work with Trump a little bit gun on 159 00:08:49,040 --> 00:08:51,920 Speaker 2: his good side, and maybe that will take the form 160 00:08:51,960 --> 00:08:55,040 Speaker 2: of not going through in certain policies. But there's no 161 00:08:55,120 --> 00:08:57,400 Speaker 2: way this ends up. Well. We have hundreds of years 162 00:08:57,400 --> 00:08:59,680 Speaker 2: of history to tell us exactly what's gonna happen. We 163 00:08:59,760 --> 00:09:04,680 Speaker 2: have states that have had government owned grocery stores, and 164 00:09:05,480 --> 00:09:08,079 Speaker 2: if he does have those government own grocery stores, we're 165 00:09:08,080 --> 00:09:10,880 Speaker 2: gonna have photos of New Yorkers coming to New Jersey 166 00:09:11,240 --> 00:09:13,960 Speaker 2: like bords Ey Elson, the supermarket all amazed that we 167 00:09:14,000 --> 00:09:16,920 Speaker 2: have food in Jerseys So that'll be some amazing images. 168 00:09:17,880 --> 00:09:21,880 Speaker 1: To what extent do the limitations on the mayor, between 169 00:09:21,920 --> 00:09:25,240 Speaker 1: the city council, the state legislature, and the governor. To 170 00:09:25,280 --> 00:09:28,400 Speaker 1: what extent is he less of a direct threat than 171 00:09:28,480 --> 00:09:29,640 Speaker 1: his speeches would imply. 172 00:09:30,800 --> 00:09:33,680 Speaker 2: Well, I know Hoschel has cast doubt specifically in the 173 00:09:33,720 --> 00:09:37,920 Speaker 2: free bussing program, so that's at least one although it 174 00:09:38,040 --> 00:09:40,880 Speaker 2: seems that for half of the city they already have 175 00:09:40,960 --> 00:09:43,640 Speaker 2: a free bussing program in that you just don't pay 176 00:09:44,160 --> 00:09:46,679 Speaker 2: and for the bus driver it's not worth the confrontation, 177 00:09:46,920 --> 00:09:49,720 Speaker 2: so maybe it's not much a change there. And yes, 178 00:09:49,760 --> 00:09:51,760 Speaker 2: he does need the city council to go along with 179 00:09:51,800 --> 00:09:54,160 Speaker 2: the tax increases. I mean, I believe there's only five 180 00:09:54,280 --> 00:09:56,960 Speaker 2: or six Republicans in their city council. So it just 181 00:09:57,040 --> 00:10:00,640 Speaker 2: comes down to the center of left versus the progress faction, 182 00:10:00,840 --> 00:10:01,600 Speaker 2: how they decided. 183 00:10:02,600 --> 00:10:05,840 Speaker 1: To what extent was the impact of George Soros and 184 00:10:05,920 --> 00:10:10,880 Speaker 1: Alex Soros and the money they pour into building these systems, 185 00:10:11,280 --> 00:10:14,479 Speaker 1: To what extent did that help with the rise of Mondani. 186 00:10:15,280 --> 00:10:18,520 Speaker 2: So one of the group that got the most money 187 00:10:18,640 --> 00:10:22,680 Speaker 2: that was helping Mandami was the Working Families Party. They've 188 00:10:22,679 --> 00:10:26,160 Speaker 2: gotten many millions from Soros well Alex and George both 189 00:10:26,360 --> 00:10:31,880 Speaker 2: and they are a third party that they do have 190 00:10:31,960 --> 00:10:34,360 Speaker 2: representation in government. I think they've won to two seats 191 00:10:34,360 --> 00:10:37,960 Speaker 2: in the Philadelphia City Council, but it's mostly an add 192 00:10:38,000 --> 00:10:41,560 Speaker 2: on to the Democratic Party in that they will run 193 00:10:41,960 --> 00:10:45,640 Speaker 2: their candidates as Democrats. And in New York they have 194 00:10:45,760 --> 00:10:48,720 Speaker 2: fusion voting, meaning you can run as more than one party, 195 00:10:48,840 --> 00:10:52,280 Speaker 2: So there is a single digit percent of the electorate 196 00:10:52,360 --> 00:10:55,719 Speaker 2: probably that are Democrats who are so far left they 197 00:10:55,720 --> 00:10:59,000 Speaker 2: are disillusioned with the party, even as far left as 198 00:10:59,000 --> 00:11:02,000 Speaker 2: it is, and would only vote for a Democrat if 199 00:11:02,040 --> 00:11:05,200 Speaker 2: they're also in the Working Families Party line. Ed would 200 00:11:05,240 --> 00:11:08,400 Speaker 2: vote for the Canada on the Working Families Parti's line. Now, 201 00:11:08,520 --> 00:11:11,280 Speaker 2: to get on that line, you have to sign on 202 00:11:11,480 --> 00:11:14,800 Speaker 2: with a bunch of very cartoonish far left policies. And 203 00:11:14,840 --> 00:11:18,600 Speaker 2: this is basically what everyone at a Climate Hystoria protest 204 00:11:18,720 --> 00:11:22,920 Speaker 2: or a free Palaceline protest believes, being very anti cop 205 00:11:23,320 --> 00:11:26,360 Speaker 2: tacts billionaires and millionaires, and they never say how much, 206 00:11:26,559 --> 00:11:30,880 Speaker 2: just always more so those kind of politicians, And Mamdami 207 00:11:30,960 --> 00:11:34,840 Speaker 2: himself actually voted for himself on the Working Families Party line, 208 00:11:34,880 --> 00:11:38,120 Speaker 2: So he clearly identifies with that faction, and it is 209 00:11:38,160 --> 00:11:41,920 Speaker 2: a socialist faction, but it's really the most successful third 210 00:11:41,960 --> 00:11:44,280 Speaker 2: party we have in the country, and that if you 211 00:11:44,640 --> 00:11:48,200 Speaker 2: count people who are members of the Working Families Party 212 00:11:48,280 --> 00:11:51,280 Speaker 2: plus the Democratic Party, the two have dozens of seats 213 00:11:51,320 --> 00:11:53,040 Speaker 2: in New York legislatures and all of that. 214 00:11:53,760 --> 00:11:56,680 Speaker 1: I did not realize that he had voted on that line. 215 00:11:57,280 --> 00:12:00,840 Speaker 1: What does that tell you? When he's done smiling, he 216 00:12:00,880 --> 00:12:02,719 Speaker 1: actually is on the hard left. 217 00:12:03,400 --> 00:12:05,920 Speaker 2: He has the charism of a used car salesman. Whenever 218 00:12:05,960 --> 00:12:09,160 Speaker 2: I see that smile, I think you're trying to defraud 219 00:12:09,200 --> 00:12:11,200 Speaker 2: me in some way. I don't know. It's just very 220 00:12:11,240 --> 00:12:14,240 Speaker 2: bizarre to see because I think for us, there's no 221 00:12:14,360 --> 00:12:17,920 Speaker 2: way it's even convincing. But he's a wolf in sheep's clothing. 222 00:12:18,080 --> 00:12:21,040 Speaker 2: He fundamentally, I don't know if he even views himself 223 00:12:21,080 --> 00:12:24,000 Speaker 2: as American, and in fact, his mother himself and this 224 00:12:24,200 --> 00:12:27,120 Speaker 2: was twelve years ago, said that he doesn't. But the 225 00:12:27,240 --> 00:12:30,480 Speaker 2: thing that was most notable to me during his election 226 00:12:30,640 --> 00:12:33,080 Speaker 2: speech was that line where he says, you know it's 227 00:12:33,120 --> 00:12:37,640 Speaker 2: for the Senegalese taxi drivers then used beck nurses. These 228 00:12:37,640 --> 00:12:41,439 Speaker 2: were demographics I didn't even know were associated with these professions. 229 00:12:41,440 --> 00:12:43,760 Speaker 2: I think it was like mad libs. He was all right, 230 00:12:43,800 --> 00:12:47,200 Speaker 2: it was Becky okay nurse. But we on the right 231 00:12:47,520 --> 00:12:53,880 Speaker 2: have for decades criticized Hyphi needed Americanism, so African American, 232 00:12:54,440 --> 00:12:59,360 Speaker 2: Hispanic American, Asian American instead of just saying American, and 233 00:12:59,559 --> 00:13:03,760 Speaker 2: he reversed it. He dropped the American part. I've never 234 00:13:03,800 --> 00:13:06,200 Speaker 2: seen that done before, So I don't know. He does 235 00:13:06,240 --> 00:13:09,520 Speaker 2: seem to have an US versus that mentality. When AOC 236 00:13:09,880 --> 00:13:12,120 Speaker 2: was at one of his rallies talking of the groups 237 00:13:12,160 --> 00:13:15,880 Speaker 2: who built the country, she never mentioned the British or 238 00:13:15,880 --> 00:13:18,320 Speaker 2: the Dutch. It was immigrant groups that have only been 239 00:13:18,360 --> 00:13:20,840 Speaker 2: here for the past thirty to fifty years. So he, 240 00:13:21,040 --> 00:13:23,760 Speaker 2: I think, views himself and those who support him as 241 00:13:23,800 --> 00:13:26,720 Speaker 2: separate from the rest of America, the country's standing stock, 242 00:13:26,800 --> 00:13:29,439 Speaker 2: and we're also going to see that appear in his policies. 243 00:13:29,480 --> 00:13:32,880 Speaker 2: He himself has called for taxing, in his words, richer, 244 00:13:32,960 --> 00:13:36,440 Speaker 2: whiter neighborhoods. He made an effort to say whiter. So 245 00:13:36,800 --> 00:13:37,800 Speaker 2: that's the kind of guy he is. 246 00:13:54,960 --> 00:13:57,200 Speaker 1: How did Alex end up becoming the heir. 247 00:13:58,000 --> 00:14:00,880 Speaker 2: He actually was? Not who people thought would be the 248 00:14:00,920 --> 00:14:03,480 Speaker 2: first pick. A lot of people thought his son Jonathan 249 00:14:03,920 --> 00:14:07,560 Speaker 2: Sous was going to be the pick. I personally leaned 250 00:14:07,640 --> 00:14:10,880 Speaker 2: towards it being Alex, just because I knew that Alex 251 00:14:11,000 --> 00:14:13,439 Speaker 2: was the one that was sort of accompanying him on 252 00:14:13,520 --> 00:14:17,880 Speaker 2: his business trips growing up, and Alex through his social 253 00:14:17,920 --> 00:14:21,160 Speaker 2: media for the past few years leading up to the announcement, 254 00:14:21,720 --> 00:14:24,480 Speaker 2: just all the people who is publicly meeting with Tipney 255 00:14:24,520 --> 00:14:26,680 Speaker 2: off that it would be him. But there was an 256 00:14:27,000 --> 00:14:30,000 Speaker 2: article in Vanity Fair I believe that talked about this, 257 00:14:30,160 --> 00:14:34,200 Speaker 2: and a lot of insiders actually thought that Alex was 258 00:14:34,240 --> 00:14:37,880 Speaker 2: the wrong person to lead the organization. And if you've 259 00:14:37,880 --> 00:14:40,800 Speaker 2: ever seen the guy speak, he's you know, I'm not 260 00:14:40,880 --> 00:14:45,400 Speaker 2: perfect myself, but he's not exactly Shakespearean. Someone who knows 261 00:14:45,480 --> 00:14:49,000 Speaker 2: him described his speaking style as being like that of 262 00:14:49,080 --> 00:14:52,320 Speaker 2: a record skipping And I think if anyone goes on 263 00:14:52,360 --> 00:14:54,240 Speaker 2: YouTube and looks up his speech of his they'll know 264 00:14:54,840 --> 00:14:57,120 Speaker 2: exactly what I mean and probably laugh at that description 265 00:14:57,200 --> 00:14:57,680 Speaker 2: a little bit. 266 00:14:57,880 --> 00:14:59,600 Speaker 1: So what do you think motivates Alex? 267 00:15:00,600 --> 00:15:03,240 Speaker 2: Well, I think he's to some extent a carbon copy 268 00:15:03,280 --> 00:15:06,440 Speaker 2: of his father. I think that his father was, to 269 00:15:06,480 --> 00:15:10,080 Speaker 2: a large extent motivated not only by wealth and power, 270 00:15:10,160 --> 00:15:13,320 Speaker 2: but power just for the sake of having it. And 271 00:15:13,360 --> 00:15:17,200 Speaker 2: that was the life that Alex was groomed under From 272 00:15:17,200 --> 00:15:20,400 Speaker 2: a very young age. He was following his father around 273 00:15:20,440 --> 00:15:22,760 Speaker 2: on trips all around the world. So you know, while 274 00:15:22,840 --> 00:15:26,040 Speaker 2: you and I were studying for our high school math tests, 275 00:15:26,040 --> 00:15:30,520 Speaker 2: he was sitting in meetings with Nancy Pelosi and world leaders. 276 00:15:30,560 --> 00:15:34,200 Speaker 2: And he flaunts it on social media every single day 277 00:15:34,200 --> 00:15:36,920 Speaker 2: it seems he is with someone new. He posted one 278 00:15:36,960 --> 00:15:39,320 Speaker 2: with Mamdami. I think it was the night over the 279 00:15:39,400 --> 00:15:42,880 Speaker 2: day after the election. It was of note because he 280 00:15:42,920 --> 00:15:45,480 Speaker 2: was actually in Europe when he posted that photo, meaning 281 00:15:45,880 --> 00:15:49,600 Speaker 2: he took it probably weeks prior realized it might look 282 00:15:49,680 --> 00:15:53,239 Speaker 2: bad if the anti billionaire candidate was pictured with a billionaire, 283 00:15:53,240 --> 00:15:55,520 Speaker 2: and then decided, all right, well, once the election's over, 284 00:15:55,920 --> 00:15:59,040 Speaker 2: we can do that. And I'm told so. He has 285 00:15:59,080 --> 00:16:02,520 Speaker 2: posted about third thirty or so photos with the Prime 286 00:16:02,560 --> 00:16:06,440 Speaker 2: Minister of Albania, who is wildly accused of turning the 287 00:16:06,480 --> 00:16:08,760 Speaker 2: country into a narco state. And I talked about that 288 00:16:08,800 --> 00:16:11,120 Speaker 2: in the book. Maybe that's a tie in of why 289 00:16:11,160 --> 00:16:13,840 Speaker 2: Alex loves being there so much. Maybe he's profiting from it. 290 00:16:14,200 --> 00:16:17,920 Speaker 2: But the former Prime minister told me he has flight 291 00:16:18,040 --> 00:16:20,840 Speaker 2: logs that show something like one hundred and forty visits 292 00:16:20,880 --> 00:16:23,640 Speaker 2: from Alex to Albania in the past couple of years, 293 00:16:23,960 --> 00:16:27,000 Speaker 2: meaning what he's showing us on social media, as much 294 00:16:27,040 --> 00:16:30,040 Speaker 2: as it is, is a microcosm of the true influence 295 00:16:30,080 --> 00:16:34,800 Speaker 2: and he has officially even before he took over officially. 296 00:16:34,840 --> 00:16:38,080 Speaker 2: In June of twenty twenty three, he was posting a 297 00:16:38,120 --> 00:16:42,640 Speaker 2: photo of himself introducing himself to the Prime Minister of 298 00:16:42,680 --> 00:16:46,440 Speaker 2: North Macedonia and the caption the photo was it's an 299 00:16:46,560 --> 00:16:50,720 Speaker 2: honor to introduce my father to the president, meaning it 300 00:16:50,760 --> 00:16:53,680 Speaker 2: was a connection Alex himself had made and was now 301 00:16:53,760 --> 00:16:56,960 Speaker 2: sharing them with his father. It was a total role reversal, 302 00:16:57,120 --> 00:16:59,200 Speaker 2: I point out in the book I Know Him Ramblings. 303 00:16:59,200 --> 00:17:02,040 Speaker 2: I'll wrap up on that. In the book, he mentioned 304 00:17:02,080 --> 00:17:06,480 Speaker 2: that he had basically taken over operations in Europe in 305 00:17:06,480 --> 00:17:10,119 Speaker 2: twenty fifteen. That was when George decided he was going 306 00:17:10,200 --> 00:17:13,160 Speaker 2: to stop traveling there so often and he needed Alex 307 00:17:13,240 --> 00:17:16,280 Speaker 2: to basically do his job there. So it caused me 308 00:17:16,440 --> 00:17:19,120 Speaker 2: to re examine a lot of the influence I had 309 00:17:19,160 --> 00:17:24,040 Speaker 2: written about George's influence in Europe around those years. And reanalyzed, well, 310 00:17:24,040 --> 00:17:27,080 Speaker 2: what's the evidence of actually being Alex there and having 311 00:17:27,160 --> 00:17:28,000 Speaker 2: all weaves together. 312 00:17:28,800 --> 00:17:32,200 Speaker 1: You point out that the level of penetration. For example, 313 00:17:32,800 --> 00:17:36,520 Speaker 1: when Biden became president, who are some seventeen people who 314 00:17:36,560 --> 00:17:40,440 Speaker 1: came from one of the Soros funded operations, some of 315 00:17:40,440 --> 00:17:43,760 Speaker 1: them pretty important, I mean near attendant as a very 316 00:17:43,880 --> 00:17:47,080 Speaker 1: major player, had been very big on the Clinton team, 317 00:17:47,720 --> 00:17:51,159 Speaker 1: also worked for Obama. But she was president of Center 318 00:17:51,200 --> 00:17:55,280 Speaker 1: for American Progress, which Soros was a major, major funder 319 00:17:55,320 --> 00:17:58,520 Speaker 1: of Ron Clayton. This really surprised me. He's on the 320 00:17:58,560 --> 00:18:01,720 Speaker 1: board of the Center for American prob Action Fund, which 321 00:18:01,760 --> 00:18:04,600 Speaker 1: is their lobbying arm. He was Biden's first White House 322 00:18:04,680 --> 00:18:06,920 Speaker 1: chief of staff and I think probably far and away 323 00:18:06,960 --> 00:18:10,040 Speaker 1: his best chief of staff. I mean, you go down this, 324 00:18:10,200 --> 00:18:13,399 Speaker 1: you'd be in to realize they've really penetrated the system 325 00:18:13,880 --> 00:18:15,480 Speaker 1: in some very significant ways. 326 00:18:16,280 --> 00:18:18,960 Speaker 2: Yeah. Then there was the three dozen or so meetings 327 00:18:19,000 --> 00:18:22,400 Speaker 2: that Alex had at the White House, and a friend 328 00:18:22,440 --> 00:18:24,720 Speaker 2: of mine who works at a CYC called NewsBusters. He's 329 00:18:24,840 --> 00:18:28,200 Speaker 2: Joe Vasquez. He's got like their Soros guy. So I 330 00:18:28,240 --> 00:18:29,879 Speaker 2: asked him if he wanted to go through all the 331 00:18:29,880 --> 00:18:33,080 Speaker 2: White House visitor logs with me and I don't know 332 00:18:33,119 --> 00:18:36,480 Speaker 2: if this was because of the transition or if Biden's 333 00:18:36,520 --> 00:18:40,160 Speaker 2: administration took them down, but those visitor logs actually got 334 00:18:40,160 --> 00:18:43,840 Speaker 2: removed from the website at the end of his presidency. Joe, 335 00:18:44,080 --> 00:18:45,840 Speaker 2: I don't know what possessed him to do it, but 336 00:18:45,880 --> 00:18:49,880 Speaker 2: he happened to have archived them months prior, so without him, 337 00:18:49,920 --> 00:18:52,600 Speaker 2: this chapter would have never come to fruition. Him and 338 00:18:52,640 --> 00:18:55,360 Speaker 2: I spent about a month or so going through all 339 00:18:55,400 --> 00:19:00,120 Speaker 2: of the visitor logs, and the real challenge was, well, 340 00:19:00,200 --> 00:19:02,600 Speaker 2: let's try to figure out what those visits correlate to. 341 00:19:03,119 --> 00:19:06,240 Speaker 2: And there is about two thirds of them there was 342 00:19:06,320 --> 00:19:10,240 Speaker 2: some sort of climate issue leading into the meeting or 343 00:19:10,520 --> 00:19:14,320 Speaker 2: happening being announced within two weeks after it, so it 344 00:19:14,400 --> 00:19:18,320 Speaker 2: might be a correlation, causation, coincidence, but in two thirds 345 00:19:18,320 --> 00:19:21,600 Speaker 2: of the cases that's what would happen. And we thought 346 00:19:21,640 --> 00:19:24,800 Speaker 2: it was just notable because our research had also shown well, 347 00:19:24,880 --> 00:19:27,359 Speaker 2: it was four hundred and thirty eight million dollars he 348 00:19:28,000 --> 00:19:31,119 Speaker 2: spent on these climate causes, the first ever writings of 349 00:19:31,160 --> 00:19:34,440 Speaker 2: Alex Soros publicly or on climate change, and that's kind 350 00:19:34,440 --> 00:19:37,000 Speaker 2: of his issue. So that was our major corelating factor. 351 00:19:37,080 --> 00:19:41,840 Speaker 2: But there was one day where in the morning, the 352 00:19:41,840 --> 00:19:45,439 Speaker 2: President of Kenya had visited the White House and it 353 00:19:45,520 --> 00:19:48,480 Speaker 2: was at an event where Alex was their president. He 354 00:19:48,600 --> 00:19:52,159 Speaker 2: was actually pictured with the President of Kenya. The President 355 00:19:52,200 --> 00:19:54,640 Speaker 2: of Kenya was actually working with OSF at the time, 356 00:19:54,800 --> 00:19:58,960 Speaker 2: USAID and all these green climate crazy deals and all that, 357 00:19:59,520 --> 00:20:04,959 Speaker 2: and his reputation was kind of in patters at home. 358 00:20:05,119 --> 00:20:08,080 Speaker 2: There's a lot of corruption allegations. Something like half their 359 00:20:08,200 --> 00:20:11,720 Speaker 2: national debt was in fact was linked to corruption, and 360 00:20:11,760 --> 00:20:14,119 Speaker 2: this was viewed as an attempt to clean up his 361 00:20:14,200 --> 00:20:16,520 Speaker 2: image by having him to be the first Kenyan president 362 00:20:16,600 --> 00:20:20,840 Speaker 2: to visit with Joe Biden. But that same exact day, 363 00:20:21,720 --> 00:20:24,520 Speaker 2: just hours, I think seven or so hours later, Alex 364 00:20:24,560 --> 00:20:29,080 Speaker 2: had a private meeting with Joe Biden. So after that 365 00:20:29,320 --> 00:20:33,120 Speaker 2: then all these climate related deals start occurring with Kenya's 366 00:20:33,160 --> 00:20:36,359 Speaker 2: president in the White House and USAID, and it seemed 367 00:20:36,440 --> 00:20:39,960 Speaker 2: like a pretty interesting coincidence. If it was one that 368 00:20:40,040 --> 00:20:42,920 Speaker 2: all those people would be together, then all these things 369 00:20:42,920 --> 00:20:45,199 Speaker 2: linked to Alex would play out. So I think that 370 00:20:45,320 --> 00:20:48,160 Speaker 2: was the biggest one that we found there. And also 371 00:20:48,200 --> 00:20:51,480 Speaker 2: Patrick Gaspar, the former president of the Open Society Foundation, 372 00:20:52,119 --> 00:20:55,600 Speaker 2: ended up getting an ambassadorship late into the Biden administration 373 00:20:55,680 --> 00:20:56,040 Speaker 2: as well. 374 00:20:56,880 --> 00:21:02,200 Speaker 1: You also have this I think intriguing strategy, dangerous strategy 375 00:21:02,800 --> 00:21:06,560 Speaker 1: where the soress have gone in and spent about forty 376 00:21:06,560 --> 00:21:10,960 Speaker 1: million dollars to help elect about seventy five district attorneys 377 00:21:11,400 --> 00:21:14,080 Speaker 1: and that's had a real effect on whether or not 378 00:21:14,160 --> 00:21:17,119 Speaker 1: criminals get prosecuted. I mean, do you think that was 379 00:21:17,160 --> 00:21:21,439 Speaker 1: a deliberate strategy to undermine the rule of law or 380 00:21:21,520 --> 00:21:22,399 Speaker 1: what were they thinking? 381 00:21:23,200 --> 00:21:25,480 Speaker 2: Well, I would just say it has to be. You know, 382 00:21:25,520 --> 00:21:28,439 Speaker 2: these law and order issues, the most predictable outcome is 383 00:21:28,480 --> 00:21:30,400 Speaker 2: going to be the outcome. If you have someone who 384 00:21:30,480 --> 00:21:34,320 Speaker 2: tried to murder someone unsuccessfully and a judge says, well, 385 00:21:34,560 --> 00:21:36,160 Speaker 2: we're not going to give you any bail, you can 386 00:21:36,200 --> 00:21:38,719 Speaker 2: go free. What do we think they're going to do. 387 00:21:38,840 --> 00:21:40,399 Speaker 2: My guess would be they might try to kill the 388 00:21:40,440 --> 00:21:43,400 Speaker 2: person they try to kill unsuccessfully. If they are an 389 00:21:43,520 --> 00:21:46,320 Speaker 2: arson s I think they might go consider more artisan 390 00:21:46,359 --> 00:21:49,639 Speaker 2: after this. The problem with these second chance judges is 391 00:21:49,720 --> 00:21:53,760 Speaker 2: they think second chances are infinity chances, but a lot 392 00:21:53,760 --> 00:21:57,600 Speaker 2: of them ideologically just empathize with criminals. They had this 393 00:21:57,720 --> 00:22:01,600 Speaker 2: idea that just circumstances alone can exonerate you if you 394 00:22:01,640 --> 00:22:04,679 Speaker 2: had a rough childhood, that's good enough. And it was 395 00:22:04,720 --> 00:22:07,840 Speaker 2: incredible that the Joe Biden of the nineteen nineties, when 396 00:22:07,880 --> 00:22:11,000 Speaker 2: speaking about the crime bill of all people, said, you know, 397 00:22:11,040 --> 00:22:12,600 Speaker 2: I don't care if you had a rough childhood. If 398 00:22:12,600 --> 00:22:15,080 Speaker 2: you're a criminal, you're a criminal. I'm going what happened 399 00:22:15,119 --> 00:22:17,800 Speaker 2: to that guy? That actually is the attitude that we need. 400 00:22:17,840 --> 00:22:21,040 Speaker 2: Obviously that Joe Biden is long gone. You know, the 401 00:22:21,080 --> 00:22:23,879 Speaker 2: first book on George I looked through all of the 402 00:22:23,960 --> 00:22:27,760 Speaker 2: crime increases under them, and granted some of this was 403 00:22:27,880 --> 00:22:30,720 Speaker 2: under the backdrop of the national crime wave in twenty 404 00:22:30,760 --> 00:22:33,919 Speaker 2: twenty from the George Floyd protests, but in the places 405 00:22:33,960 --> 00:22:37,840 Speaker 2: where there was the protests plus the Soros DA, the 406 00:22:37,920 --> 00:22:41,360 Speaker 2: crime rate went up significantly higher. We had crime doubling 407 00:22:41,400 --> 00:22:46,600 Speaker 2: in many cities with things like shoplifting. It's so high 408 00:22:46,720 --> 00:22:50,360 Speaker 2: that in many places they don't even report it. And 409 00:22:50,560 --> 00:22:54,560 Speaker 2: someone pointed out, like the stats can be misleading in 410 00:22:54,600 --> 00:22:56,720 Speaker 2: that if you are in a place where you have 411 00:22:56,760 --> 00:22:59,639 Speaker 2: to overprotect against it, you were to some extent in 412 00:22:59,680 --> 00:23:05,000 Speaker 2: prison your own citizens because you want in prison criminals. 413 00:23:05,040 --> 00:23:07,760 Speaker 2: If I have to go into CVS and wait thirty 414 00:23:07,840 --> 00:23:10,840 Speaker 2: minutes to get someone to unlock a role of deodorant. 415 00:23:10,880 --> 00:23:14,280 Speaker 2: For me, that is a micro prison you're putting on 416 00:23:14,359 --> 00:23:16,720 Speaker 2: your own customers because you won't do it to other people. 417 00:23:16,720 --> 00:23:20,639 Speaker 2: And even if you had a scenario where okay, you 418 00:23:20,760 --> 00:23:24,600 Speaker 2: have Liberal City where the theft rate is identical to 419 00:23:24,720 --> 00:23:27,680 Speaker 2: Safe City, but in Liberal City everything is locked up 420 00:23:27,960 --> 00:23:30,560 Speaker 2: and in the Safe City everything's on the honor system, 421 00:23:31,080 --> 00:23:33,680 Speaker 2: are they really the same crime rate? And you can 422 00:23:33,680 --> 00:23:36,800 Speaker 2: see in that analogy how misleading the stats are. In 423 00:23:36,840 --> 00:23:40,479 Speaker 2: San Francisco, there was one month where there was a 424 00:23:40,560 --> 00:23:43,879 Speaker 2: single Target store, just one Target location in the whole city, 425 00:23:44,400 --> 00:23:46,439 Speaker 2: and they decided they were going to test out a 426 00:23:46,480 --> 00:23:50,200 Speaker 2: new system to report one hundred percent of shoplifting incidents 427 00:23:50,240 --> 00:23:52,640 Speaker 2: to the San Francisco Police Department just for one month. 428 00:23:53,359 --> 00:23:57,080 Speaker 2: That month, the crime rate in the entire city doubled. 429 00:23:57,640 --> 00:24:00,800 Speaker 2: And there are tens of thousands of business in the city, 430 00:24:01,240 --> 00:24:05,880 Speaker 2: One business reporting every shoplifting incident doubled the city's crime rate. 431 00:24:06,280 --> 00:24:08,960 Speaker 2: So that just goes to show you that the crime 432 00:24:09,040 --> 00:24:12,440 Speaker 2: rates we see, as bad as they are, aren't even 433 00:24:12,600 --> 00:24:14,800 Speaker 2: close to what they really are in those cities. And 434 00:24:15,200 --> 00:24:20,040 Speaker 2: again everyone knows this, and Chasa Buden was famously ousted 435 00:24:20,200 --> 00:24:23,760 Speaker 2: the margin of the vote was basically consistent with the 436 00:24:23,800 --> 00:24:27,600 Speaker 2: percent of San Francisco's electorate that are Republican, meaning they 437 00:24:27,680 --> 00:24:30,760 Speaker 2: kind of got Kingmaker's status in that election. Without them, 438 00:24:30,880 --> 00:24:34,080 Speaker 2: they might still have that DA. So liberals will vote 439 00:24:34,119 --> 00:24:37,719 Speaker 2: for the worst people possible and enable them to then degree. 440 00:24:37,840 --> 00:24:40,320 Speaker 2: So I am cynical on this issue, and that I 441 00:24:40,359 --> 00:24:43,240 Speaker 2: think these judges know exactly what they're doing. I don't 442 00:24:43,280 --> 00:24:45,960 Speaker 2: see how they couldn't possibly know it, because it's the 443 00:24:46,000 --> 00:24:49,439 Speaker 2: same result every time. There's never been a case where 444 00:24:49,880 --> 00:24:52,439 Speaker 2: you let out a guy without bail who committed an 445 00:24:52,440 --> 00:24:55,760 Speaker 2: attempted homicide and goes, well, that was nice. I won't 446 00:24:55,800 --> 00:24:56,720 Speaker 2: make that mistake again. 447 00:25:14,040 --> 00:25:17,040 Speaker 1: Were you right? The George Source did more than any 448 00:25:17,080 --> 00:25:21,680 Speaker 1: individual to shape the narrative on drugs in America. Why 449 00:25:21,720 --> 00:25:23,960 Speaker 1: did he do that? And how long has he been 450 00:25:24,000 --> 00:25:24,360 Speaker 1: doing it? 451 00:25:25,119 --> 00:25:27,280 Speaker 2: So since the nineteen eighties. It was what became the 452 00:25:27,359 --> 00:25:31,800 Speaker 2: Drug Policy Institute, and they started with marijuana, which was, 453 00:25:32,200 --> 00:25:36,520 Speaker 2: I guess, ironically the gateway drug to bigger drug decriminalization 454 00:25:36,640 --> 00:25:40,360 Speaker 2: and legalization efforts, where you start with the least harmful 455 00:25:40,440 --> 00:25:43,480 Speaker 2: drug and you have the rhetoric of well, we really 456 00:25:43,520 --> 00:25:46,440 Speaker 2: want to lock people up over a plan, and I've 457 00:25:46,480 --> 00:25:48,880 Speaker 2: gone through the numbers. I don't think we really were 458 00:25:48,920 --> 00:25:51,879 Speaker 2: ever locking people up. You were only getting locked up 459 00:25:51,920 --> 00:25:54,560 Speaker 2: from marijuana really, if you had a ton of it 460 00:25:54,640 --> 00:25:57,679 Speaker 2: in your trunk, or if it was in conjunction with 461 00:25:57,760 --> 00:26:01,199 Speaker 2: other crimes. I went through the ones because there is 462 00:26:01,240 --> 00:26:04,720 Speaker 2: I think some libert carrying group had seventy thousand people 463 00:26:04,760 --> 00:26:07,120 Speaker 2: that have been to jail for weed, and I went 464 00:26:07,160 --> 00:26:09,240 Speaker 2: through just a dozen of them, and it's like a 465 00:26:09,560 --> 00:26:13,200 Speaker 2: man committed an armed robbery had marijuana on him, and 466 00:26:13,240 --> 00:26:15,600 Speaker 2: I'm thinking, well, I don't think the weed was really 467 00:26:15,640 --> 00:26:17,840 Speaker 2: the reason here for that, but that's how they would 468 00:26:17,840 --> 00:26:21,520 Speaker 2: sell it, and they, through the media as well, convinced 469 00:26:21,520 --> 00:26:23,840 Speaker 2: people this was selling to be normalized. And then I 470 00:26:23,920 --> 00:26:27,560 Speaker 2: think the narrative they then push after that was harm reduction, 471 00:26:27,680 --> 00:26:30,119 Speaker 2: where it was well, we're going to have people do drugs, 472 00:26:30,200 --> 00:26:32,200 Speaker 2: so we might as well have it be safe. And 473 00:26:32,920 --> 00:26:37,600 Speaker 2: that logic only works if there is a fixed percentage 474 00:26:37,600 --> 00:26:39,840 Speaker 2: of the population you're going to be hooked up to 475 00:26:39,880 --> 00:26:42,400 Speaker 2: a heroin machine all day and go all right, well, 476 00:26:42,600 --> 00:26:44,360 Speaker 2: something we can do, we got to make it safer. 477 00:26:44,640 --> 00:26:47,080 Speaker 2: That's not how it works when you normalize drugs. And 478 00:26:47,400 --> 00:26:49,920 Speaker 2: take away the stigma you have people do more of them. 479 00:26:49,920 --> 00:26:54,000 Speaker 2: And even if you can make drugs safer through these 480 00:26:54,000 --> 00:26:56,959 Speaker 2: sorts of efforts, you will also increase the volume by 481 00:26:57,000 --> 00:26:59,879 Speaker 2: which they're used. So even if you made the drugs 482 00:27:00,280 --> 00:27:02,639 Speaker 2: as dangerous, if you're doing them twice as much, it 483 00:27:02,720 --> 00:27:05,359 Speaker 2: nets out to zero. And I have stats there on 484 00:27:05,400 --> 00:27:08,920 Speaker 2: the safe injection sites and all these sorts of efforts. 485 00:27:09,000 --> 00:27:13,240 Speaker 2: And you also make surrounding areas way less safe in 486 00:27:13,280 --> 00:27:16,080 Speaker 2: that you basically are sectioning off a part of town 487 00:27:16,160 --> 00:27:19,879 Speaker 2: where you are gonna have drug users congregating and no 488 00:27:19,920 --> 00:27:22,720 Speaker 2: one else. Normal people can't go there, so you're gonna 489 00:27:22,760 --> 00:27:26,280 Speaker 2: have very shady people. It's gonna increase crime there. So 490 00:27:26,320 --> 00:27:29,719 Speaker 2: there's just all these second order effects no one is considering. 491 00:27:29,800 --> 00:27:33,520 Speaker 2: And the real solution is, well, we just say you 492 00:27:33,600 --> 00:27:35,640 Speaker 2: actually can't do drugs in the street, and if you're 493 00:27:35,680 --> 00:27:37,719 Speaker 2: going to, we're gonna have to put you somewhere, and 494 00:27:37,760 --> 00:27:41,280 Speaker 2: it's either gonna be prison or some work program where 495 00:27:41,600 --> 00:27:44,600 Speaker 2: you can't do drugs. And there's plenty of countries that 496 00:27:44,720 --> 00:27:47,200 Speaker 2: do that, but we've convinced ourselves in this country it's 497 00:27:47,240 --> 00:27:50,159 Speaker 2: cruel to stop people from destroying their lives. 498 00:27:50,640 --> 00:27:53,800 Speaker 1: I mean, you have this general picture somebody is very 499 00:27:53,880 --> 00:27:57,280 Speaker 1: far to the left, very pro criminal, very pro drug, 500 00:27:58,000 --> 00:28:02,320 Speaker 1: and yet in Ukraine, at least on the surface, he 501 00:28:02,400 --> 00:28:04,880 Speaker 1: seems to be an investing money in a way that's 502 00:28:04,920 --> 00:28:08,159 Speaker 1: important to a country that's in danger of being overrun. 503 00:28:09,560 --> 00:28:11,520 Speaker 2: Yeah, so he has been making a lot of connections 504 00:28:11,560 --> 00:28:15,800 Speaker 2: with these Lenzi administration. Basically, Zelenzi's number two is a 505 00:28:15,840 --> 00:28:17,919 Speaker 2: guy who has been friends with quite a bit. They 506 00:28:17,960 --> 00:28:21,280 Speaker 2: post pictures together on social media wishing each other a 507 00:28:21,320 --> 00:28:24,840 Speaker 2: happy birthday, so I guess they're somewhat close. He has 508 00:28:24,920 --> 00:28:27,280 Speaker 2: met with Solenzia a number of times. He donated a 509 00:28:27,280 --> 00:28:31,480 Speaker 2: million dollars to a charity that his wife founded. IBus 510 00:28:31,480 --> 00:28:34,360 Speaker 2: did another problem with that ant problem with him helping Ukraine. 511 00:28:34,480 --> 00:28:37,280 Speaker 2: The question just is what is he going to do 512 00:28:37,400 --> 00:28:40,720 Speaker 2: with the influence after the war, And I think it's 513 00:28:40,760 --> 00:28:42,480 Speaker 2: going to be to sort of push a lot of 514 00:28:42,560 --> 00:28:45,480 Speaker 2: these sort of social agenda for ins. I have a 515 00:28:45,520 --> 00:28:48,240 Speaker 2: whole chapter in Albania and his relationship with the Prime 516 00:28:48,320 --> 00:28:52,400 Speaker 2: Minister Eddie Rama, and just last week or so they 517 00:28:52,680 --> 00:28:56,560 Speaker 2: passed a law recognizing more than two genders. I talked 518 00:28:56,560 --> 00:28:58,920 Speaker 2: to the former prime minister and I said, or I 519 00:28:59,040 --> 00:29:01,760 Speaker 2: just texted and I'm like, so is this Alex Soros? 520 00:29:01,800 --> 00:29:05,120 Speaker 2: And he just strets back, Absolutely, it's Alex Soros. But okay, 521 00:29:05,200 --> 00:29:07,960 Speaker 2: well that makes a lot of sense. One tie and 522 00:29:08,080 --> 00:29:12,120 Speaker 2: I did find there with his Albanian influence was there 523 00:29:12,240 --> 00:29:17,080 Speaker 2: was a very large munition contract that Ukraine signed with Albania, 524 00:29:17,400 --> 00:29:20,840 Speaker 2: and Albania was an odd choice because they don't have 525 00:29:21,120 --> 00:29:25,000 Speaker 2: the capabilities to fulfill the contract, so they're basically just 526 00:29:25,080 --> 00:29:28,240 Speaker 2: going to sublet that contract out to a different country, 527 00:29:28,840 --> 00:29:31,680 Speaker 2: which I just sent a raised the question of why 528 00:29:31,760 --> 00:29:33,440 Speaker 2: do you need a middleman? It just seemed like a 529 00:29:33,560 --> 00:29:36,200 Speaker 2: favor for his friend Eddie Rama to make some extra money, 530 00:29:36,720 --> 00:29:39,480 Speaker 2: given that they could have just contracted directly with whoever's 531 00:29:39,480 --> 00:29:42,000 Speaker 2: going to actually fulfill the contract. So there was some 532 00:29:42,240 --> 00:29:44,840 Speaker 2: minor corruption there that I think I found. It's a 533 00:29:44,880 --> 00:29:47,440 Speaker 2: country that I think pay attention to for how he's 534 00:29:47,440 --> 00:29:49,760 Speaker 2: going to try to liberalize the society afterwards. 535 00:29:50,440 --> 00:29:54,600 Speaker 1: This is a person both father and son. Now, as 536 00:29:54,640 --> 00:29:57,480 Speaker 1: you point out in your new book The Air Inside 537 00:29:57,520 --> 00:30:00,760 Speaker 1: the Not So Secret Network of Alex Soros, this is 538 00:30:00,840 --> 00:30:07,560 Speaker 1: two generations of extraordinarily rich people trying to profoundly change 539 00:30:07,600 --> 00:30:10,280 Speaker 1: the world. In the direction that most of us would 540 00:30:10,280 --> 00:30:13,120 Speaker 1: think's crazy, and they have the money to have a 541 00:30:13,200 --> 00:30:14,680 Speaker 1: real impact and. 542 00:30:14,760 --> 00:30:17,600 Speaker 2: They were succeeding. Yeah, I mean, it's I don't know 543 00:30:17,640 --> 00:30:21,320 Speaker 2: if it's funny or tragic that his spending is classified 544 00:30:21,360 --> 00:30:26,560 Speaker 2: as philanthropy and it's the opposite of philanthropy. The other thing, too, 545 00:30:26,760 --> 00:30:31,000 Speaker 2: is his spending two in total is understated because there 546 00:30:31,120 --> 00:30:35,080 Speaker 2: was the USAID connection. And I had known of USAID 547 00:30:35,280 --> 00:30:37,720 Speaker 2: from writing about George in the past and other left 548 00:30:37,760 --> 00:30:40,720 Speaker 2: wing groups, but even I didn't realize the extent of it. 549 00:30:40,880 --> 00:30:43,360 Speaker 2: And it is going back to the sort of mad 550 00:30:43,480 --> 00:30:47,400 Speaker 2: libs analogy. It was just the craziest forms of left 551 00:30:47,440 --> 00:30:49,719 Speaker 2: wing spending you can imagine. It would be like, all right, 552 00:30:49,760 --> 00:30:54,400 Speaker 2: we're spending money on helping transgender raccoons learn dance therapy. 553 00:30:54,440 --> 00:30:56,160 Speaker 2: I'm going wait a second, what are we spending money 554 00:30:56,200 --> 00:30:57,920 Speaker 2: on here? I might have made that one up. 555 00:30:58,120 --> 00:31:00,720 Speaker 1: I have a hunch that one was not quite accurate. 556 00:31:01,000 --> 00:31:03,880 Speaker 2: No, it was things in that category of just this 557 00:31:04,040 --> 00:31:07,760 Speaker 2: could easily be made up. And George Sorolis has been 558 00:31:08,040 --> 00:31:10,920 Speaker 2: working with USAID East with the nineteen nineties. I found 559 00:31:10,920 --> 00:31:15,160 Speaker 2: a document from nineteen ninety three on an early project 560 00:31:15,240 --> 00:31:18,400 Speaker 2: there to train journalists in Eastern Europe to promote his agenda, 561 00:31:18,920 --> 00:31:22,160 Speaker 2: and the way he would get funding from it would 562 00:31:22,200 --> 00:31:26,640 Speaker 2: be both from directly getting money to groups that he controls. 563 00:31:27,120 --> 00:31:31,000 Speaker 2: So in two thousand and nine under Obama, he used 564 00:31:31,040 --> 00:31:35,320 Speaker 2: his influence in USAID to basically change the rules on 565 00:31:35,600 --> 00:31:38,600 Speaker 2: what you would have to do to get USAAD funding, 566 00:31:38,720 --> 00:31:41,520 Speaker 2: and it was sort of like that Working Families pledge. 567 00:31:41,600 --> 00:31:44,880 Speaker 2: You'd have to sign on to a portfolio of just 568 00:31:45,040 --> 00:31:50,800 Speaker 2: random left wing ideas like supporting legalizing prostitution, decriminalizing drugs, 569 00:31:51,000 --> 00:31:54,480 Speaker 2: things the OSF supports. And this is even for groups 570 00:31:54,520 --> 00:31:56,560 Speaker 2: that are not political, would have to sign on to 571 00:31:56,640 --> 00:31:58,720 Speaker 2: all of these things. And you'd have groups when you'd 572 00:31:58,760 --> 00:32:00,960 Speaker 2: gone to who we're going, I just want to build 573 00:32:01,000 --> 00:32:02,480 Speaker 2: a well, why do I have to be on board 574 00:32:02,520 --> 00:32:04,480 Speaker 2: with game arriage all all of a sudden, it was 575 00:32:04,600 --> 00:32:07,520 Speaker 2: to flex control over a lot of groups globally, and 576 00:32:08,160 --> 00:32:10,280 Speaker 2: maybe someone would just have to fake it, but some 577 00:32:10,400 --> 00:32:13,440 Speaker 2: of them would go along with it, and then he 578 00:32:13,520 --> 00:32:17,480 Speaker 2: would receive billions of dollars to groups that were not 579 00:32:17,600 --> 00:32:20,720 Speaker 2: even necessarily groups that he funded or founded, but groups 580 00:32:20,760 --> 00:32:23,600 Speaker 2: that were adjacent that had the exact same goals as 581 00:32:23,720 --> 00:32:26,600 Speaker 2: him that he would use to work in conjunction with him. 582 00:32:26,960 --> 00:32:30,720 Speaker 2: The most notable group that he started was the East 583 00:32:30,840 --> 00:32:33,680 Speaker 2: West Management Institute, which got two hundred and seventy million 584 00:32:34,040 --> 00:32:36,200 Speaker 2: for USAD and it was actually the bulk of the 585 00:32:36,280 --> 00:32:39,640 Speaker 2: usaa DE funding that was direct to him. And that 586 00:32:39,760 --> 00:32:42,880 Speaker 2: group is run by a woman named Elina Fiso, and 587 00:32:43,520 --> 00:32:46,960 Speaker 2: she is the ex wife of Eddie Rama, the Prime 588 00:32:47,000 --> 00:32:50,320 Speaker 2: Minister of Albania. And that group played a very large 589 00:32:50,480 --> 00:32:54,920 Speaker 2: role in constitutional reform in Albania and the consequence of 590 00:32:55,000 --> 00:32:59,600 Speaker 2: that constitutional reform was it completely left their legal system 591 00:32:59,640 --> 00:33:04,400 Speaker 2: and share the percentage of people convicted for drug trafficking collapsed. 592 00:33:04,480 --> 00:33:07,360 Speaker 2: There's a backlog for decades and cases that are still 593 00:33:07,360 --> 00:33:12,040 Speaker 2: getting worked through, and it coincides with Albania becoming Europe's 594 00:33:12,080 --> 00:33:15,760 Speaker 2: first narco state because they lack the capacity to prosecute 595 00:33:15,800 --> 00:33:18,880 Speaker 2: these people, and I argue it is by design. There's 596 00:33:18,880 --> 00:33:22,080 Speaker 2: an enormous amount of corruption in their permitting process to 597 00:33:22,120 --> 00:33:26,080 Speaker 2: build buildings in Almanium, and there is this paradox where 598 00:33:26,240 --> 00:33:30,200 Speaker 2: there is a declining population but there is a surplus 599 00:33:30,280 --> 00:33:33,680 Speaker 2: an explosion in housing construction, but it is all drug 600 00:33:33,760 --> 00:33:37,560 Speaker 2: trafficking money. So they're building these high rises. No one 601 00:33:37,640 --> 00:33:39,920 Speaker 2: is living in them, so it's not really adding to 602 00:33:40,000 --> 00:33:43,000 Speaker 2: the housing stock. So the average rent there is five 603 00:33:43,080 --> 00:33:45,960 Speaker 2: hundred dollars a month. That's basically eighty percent of the 604 00:33:46,040 --> 00:33:49,480 Speaker 2: average salary. So if this was legitimate construction, they should 605 00:33:49,480 --> 00:33:52,440 Speaker 2: have some of the cheapest housing in Eastern Europe. Because 606 00:33:52,480 --> 00:33:54,880 Speaker 2: it's all drug money, it is flooding to supply with 607 00:33:54,960 --> 00:33:57,600 Speaker 2: housing that is not actually helping anyone. And I've seen 608 00:33:57,800 --> 00:34:00,240 Speaker 2: estimates that Rama the Prime Minister, is worth hundred of 609 00:34:00,400 --> 00:34:02,959 Speaker 2: millions in euros, but heart to verify. 610 00:34:03,760 --> 00:34:05,360 Speaker 1: Let me just say I think that your new book, 611 00:34:05,480 --> 00:34:09,800 Speaker 1: The Air Inside the Not So Secret Network of Alex 612 00:34:09,880 --> 00:34:14,840 Speaker 1: Soros is available on Amazon and books risols, and combined 613 00:34:14,880 --> 00:34:18,120 Speaker 1: with your earlier work on his father, you may well 614 00:34:18,200 --> 00:34:21,680 Speaker 1: be the world's leading expert on the Soros family and 615 00:34:21,760 --> 00:34:24,480 Speaker 1: their efforts to undermine the West. And I want to 616 00:34:24,520 --> 00:34:26,680 Speaker 1: thank you for joining us. I think this has been 617 00:34:26,760 --> 00:34:29,840 Speaker 1: fascinating and I know you're going to go on and 618 00:34:30,200 --> 00:34:33,239 Speaker 1: serve the country. The work you've been doing is very 619 00:34:33,400 --> 00:34:34,000 Speaker 1: very important. 620 00:34:34,640 --> 00:34:36,319 Speaker 2: He's a lot from you, So thank you very much. 621 00:34:41,320 --> 00:34:44,520 Speaker 1: Thank you to my guest, Matt Palumbo. Newsworld is produced 622 00:34:44,520 --> 00:34:48,040 Speaker 1: by Gingrish three sixty and iHeartMedia. Our executive producer is 623 00:34:48,080 --> 00:34:52,239 Speaker 1: Guarncie Sloan, Our researcher is Rachel Peterson. The artwork for 624 00:34:52,320 --> 00:34:55,840 Speaker 1: the show, Who's created by Steve Penley. Special thanks to 625 00:34:55,840 --> 00:34:58,880 Speaker 1: the team at Gingrish sweet sixty. If you've been enjoying Newsworld, 626 00:34:59,239 --> 00:35:01,839 Speaker 1: I hope you'll go to Apple Podcasts and both rate 627 00:35:01,920 --> 00:35:04,840 Speaker 1: us with five stars and give us a review so 628 00:35:05,000 --> 00:35:07,680 Speaker 1: others can learn what it's all about. Join me on 629 00:35:07,800 --> 00:35:12,080 Speaker 1: substack at Gingrich three sixty dot. I'm new Gingrich. This 630 00:35:12,320 --> 00:35:13,000 Speaker 1: is Newtsworld.