1 00:00:00,520 --> 00:00:04,120 Speaker 1: Welcome to the Tutor Dixon Podcast. I'm excited today because 2 00:00:04,160 --> 00:00:08,240 Speaker 1: I've heard all of these different rumors about George Soros's 3 00:00:08,360 --> 00:00:10,800 Speaker 1: life and now I have an expert here with me. 4 00:00:11,039 --> 00:00:13,280 Speaker 1: So I know that's probably not the guy you want 5 00:00:13,320 --> 00:00:15,560 Speaker 1: to talk about, but because he's the guy that's on 6 00:00:15,560 --> 00:00:16,560 Speaker 1: the other side, I feel like. 7 00:00:16,480 --> 00:00:19,279 Speaker 2: It's good to know about him. So Matt Palumbo is 8 00:00:19,280 --> 00:00:19,759 Speaker 2: here with me. 9 00:00:19,960 --> 00:00:22,720 Speaker 1: He is the content manager for the Bonjina Report and 10 00:00:23,200 --> 00:00:26,880 Speaker 1: the author of The Man Behind the Curtain Inside the 11 00:00:27,000 --> 00:00:29,560 Speaker 1: Secret Network of George Soros. 12 00:00:29,800 --> 00:00:32,159 Speaker 3: Matt, welcome, Well, thanks so much for having me on. 13 00:00:32,880 --> 00:00:36,720 Speaker 1: So I'm really his life has always fascinated me because 14 00:00:36,720 --> 00:00:38,559 Speaker 1: I've heard all these stories and I need to know 15 00:00:38,600 --> 00:00:40,920 Speaker 1: if they're true, because I heard that when he was 16 00:00:41,479 --> 00:00:43,960 Speaker 1: just fourteen he was kind of taken in by an 17 00:00:44,200 --> 00:00:47,920 Speaker 1: SS officer or someone who is connected to the Nazi 18 00:00:47,960 --> 00:00:52,159 Speaker 1: regime and then was actually involved in the taking of 19 00:00:52,240 --> 00:00:56,400 Speaker 1: property from Jewish people. But I know that there's been disputes. 20 00:00:56,560 --> 00:01:00,840 Speaker 1: You're the expert. What exactly is his childhood story, right. 21 00:01:00,760 --> 00:01:02,720 Speaker 3: So you're referring to and actually a lot of people 22 00:01:02,720 --> 00:01:05,920 Speaker 3: have seen a sixty minutes interview about this where he 23 00:01:06,040 --> 00:01:09,680 Speaker 3: was talking about his upbringing and during the German occupation 24 00:01:09,800 --> 00:01:12,160 Speaker 3: of Hungary, he was assigned to one of these so 25 00:01:12,240 --> 00:01:15,520 Speaker 3: called Jewish councils, and what they were were groups of 26 00:01:15,600 --> 00:01:19,679 Speaker 3: Jewish people that Nazis would have, you know, organized together, 27 00:01:19,800 --> 00:01:23,120 Speaker 3: and they would be in charge of basically deporting, rounding up, 28 00:01:23,360 --> 00:01:26,520 Speaker 3: and confiscating from their fellow Jews. And many of the 29 00:01:26,560 --> 00:01:29,679 Speaker 3: people who joined these councils were under this delusion that 30 00:01:29,720 --> 00:01:32,600 Speaker 3: they would be exempt from it, exempt from the Holocaust, 31 00:01:32,640 --> 00:01:35,720 Speaker 3: exempt from the Nazis oppression. So Soros was one of 32 00:01:35,720 --> 00:01:38,559 Speaker 3: the people who worked for them. And you know, while 33 00:01:38,640 --> 00:01:40,959 Speaker 3: someone could try to make the argument that while he 34 00:01:41,040 --> 00:01:43,400 Speaker 3: was coerced to do it, it was for his own life, 35 00:01:43,959 --> 00:01:47,880 Speaker 3: Soros's father, Tivodar hopefully I'm pronouncing that right, wrote in 36 00:01:47,880 --> 00:01:51,000 Speaker 3: an autobiography and he actually talks about this incident and 37 00:01:51,000 --> 00:01:53,040 Speaker 3: said that he thought his son seemed to enjoy the 38 00:01:53,080 --> 00:01:56,880 Speaker 3: work to some extent. And Soros was interviewed by sixty 39 00:01:56,880 --> 00:01:59,680 Speaker 3: minutes about this, and the interviewer did try to give 40 00:01:59,760 --> 00:02:02,240 Speaker 3: him the out of well, you know, certainly you did 41 00:02:02,280 --> 00:02:05,840 Speaker 3: this at gunpoint, and Soro's very coldly reply is like 42 00:02:05,880 --> 00:02:08,400 Speaker 3: almost in financial terms of well, if I hadn't to 43 00:02:08,440 --> 00:02:10,160 Speaker 3: do it, someone else wasn't going to do it anyway. 44 00:02:10,600 --> 00:02:13,240 Speaker 3: And you know, it was asking if it's something that 45 00:02:13,320 --> 00:02:16,000 Speaker 3: kept him up at night, and he said no. Now, 46 00:02:16,040 --> 00:02:19,240 Speaker 3: the other thing you were referencing was him being undertaken 47 00:02:19,480 --> 00:02:22,320 Speaker 3: or taken under the wing of a Nazi officer. There 48 00:02:22,440 --> 00:02:25,160 Speaker 3: was a person his father put him in touch with 49 00:02:25,360 --> 00:02:29,040 Speaker 3: to basically conceal his Jewish identity and then later help 50 00:02:29,120 --> 00:02:32,320 Speaker 3: him flee Hungary. And this man is basically credited with 51 00:02:32,360 --> 00:02:35,400 Speaker 3: saving a young George Soros his life. And you know 52 00:02:35,480 --> 00:02:38,640 Speaker 3: one thing that just tells you about Soro's character is 53 00:02:39,040 --> 00:02:42,560 Speaker 3: this man, throughout his entire life was never publicly identified 54 00:02:42,600 --> 00:02:45,600 Speaker 3: by George Soros or Thanks there was never any recognition 55 00:02:45,720 --> 00:02:48,200 Speaker 3: of this one guy when I was a kid saved me. 56 00:02:48,320 --> 00:02:50,320 Speaker 3: Thank God. It was some guy I think at the 57 00:02:50,400 --> 00:02:52,720 Speaker 3: Daily Nail figured out who he was after his death 58 00:02:52,720 --> 00:02:54,760 Speaker 3: and that he was the figure who saved sorrows. So 59 00:02:55,200 --> 00:02:58,520 Speaker 3: he got no recognition for that from George whatsoever. And 60 00:02:58,880 --> 00:03:01,440 Speaker 3: these are just stories early on in his life to 61 00:03:01,600 --> 00:03:03,400 Speaker 3: tell you exactly the kind of person he is and 62 00:03:03,480 --> 00:03:04,760 Speaker 3: nothing has changed since then. 63 00:03:05,160 --> 00:03:07,919 Speaker 1: Well, I think that's the you know, that's the part 64 00:03:07,919 --> 00:03:09,760 Speaker 1: where people go, gosh, she was a kid, and I 65 00:03:09,760 --> 00:03:11,600 Speaker 1: have a fourteen year old, and I think about my 66 00:03:11,720 --> 00:03:15,400 Speaker 1: fourteen year old now going through this. There is something 67 00:03:15,440 --> 00:03:19,880 Speaker 1: that tells me though that there would be that internal regret, 68 00:03:20,000 --> 00:03:22,239 Speaker 1: and I think that what you pointed out there where 69 00:03:22,280 --> 00:03:23,960 Speaker 1: he's like, you know, if I hadn't done it, somebody 70 00:03:24,000 --> 00:03:27,560 Speaker 1: else would have done it. It just seems very inhumane 71 00:03:27,760 --> 00:03:30,680 Speaker 1: to think that way when you you know what was 72 00:03:30,720 --> 00:03:33,200 Speaker 1: happening and what you were involved in. And so he 73 00:03:33,320 --> 00:03:36,640 Speaker 1: was kind of on that other side. But that also 74 00:03:36,960 --> 00:03:40,880 Speaker 1: is a strange upbringing regardless. You know, obviously everybody who 75 00:03:40,920 --> 00:03:44,560 Speaker 1: lived through that time there was massive trauma. There are 76 00:03:44,640 --> 00:03:48,160 Speaker 1: lots of scars, and a lot of times trauma leads 77 00:03:48,200 --> 00:03:51,840 Speaker 1: to a lot of dysfunction in life. And so George 78 00:03:51,960 --> 00:03:54,960 Speaker 1: Uros has kind of been a puppet master of sorts 79 00:03:55,040 --> 00:03:57,600 Speaker 1: in the political world. So how did he go from 80 00:03:57,720 --> 00:04:00,440 Speaker 1: that to becoming this multi billionaire? 81 00:04:01,040 --> 00:04:03,480 Speaker 3: Right? So he ended up studying the London School of 82 00:04:03,520 --> 00:04:06,640 Speaker 3: Economics for college. He went there for all his degrees 83 00:04:06,640 --> 00:04:09,640 Speaker 3: through a pH d, and then he ended up coming 84 00:04:09,680 --> 00:04:12,240 Speaker 3: to America and his initial goal was he'd make a 85 00:04:12,240 --> 00:04:16,520 Speaker 3: million dollars and then go back to Europe. Unfortunately, that's 86 00:04:16,600 --> 00:04:20,200 Speaker 3: this isn't what happened. And since then he became unfortunately, Yeah, 87 00:04:20,440 --> 00:04:23,760 Speaker 3: he became one of the most successful investors of all time. 88 00:04:23,839 --> 00:04:26,800 Speaker 3: In fact, if you go by it's something like one 89 00:04:26,880 --> 00:04:30,000 Speaker 3: million dollars invested with him would be worth two billion today. 90 00:04:30,640 --> 00:04:32,520 Speaker 3: Now granted this is you know, from like the fifties 91 00:04:32,560 --> 00:04:34,440 Speaker 3: or or the sixties onwards, so you would have had 92 00:04:34,440 --> 00:04:36,760 Speaker 3: to hold for quite a while. But you know, there's 93 00:04:36,800 --> 00:04:39,200 Speaker 3: only one other investor, a guy named Ray Dahlio who 94 00:04:39,279 --> 00:04:43,640 Speaker 3: runs aheadshown called Bridgewater Associates, that has ever produced higher 95 00:04:43,680 --> 00:04:47,799 Speaker 3: percent returns than Soros. And you know that alone itself 96 00:04:47,839 --> 00:04:50,160 Speaker 3: should leave people a bit skeptical of how is it 97 00:04:50,160 --> 00:04:52,800 Speaker 3: even possible? And he's had a number of insider trading 98 00:04:52,800 --> 00:04:56,680 Speaker 3: scandals over the years. He very famously broke the pound, 99 00:04:57,279 --> 00:05:00,600 Speaker 3: the English pound and other currencies. And he he developed 100 00:05:00,600 --> 00:05:04,159 Speaker 3: this theory and finance called reflexivity, which is just a 101 00:05:04,200 --> 00:05:07,120 Speaker 3: fancy way of saying that there are self fulfilling prophecies 102 00:05:07,120 --> 00:05:09,680 Speaker 3: in finance. If he can hop into a trend that 103 00:05:09,680 --> 00:05:11,799 Speaker 3: people think is going to happen, the trend will then happen. 104 00:05:12,000 --> 00:05:15,120 Speaker 3: And at some point in his career he realized this 105 00:05:15,200 --> 00:05:17,719 Speaker 3: actually applies to the media as well, and that the 106 00:05:17,800 --> 00:05:20,799 Speaker 3: media has this effect of being kind of a national 107 00:05:21,400 --> 00:05:24,160 Speaker 3: horse blinders on the American public and that they can 108 00:05:24,240 --> 00:05:26,760 Speaker 3: really only see through whatever the media tells them. And 109 00:05:27,080 --> 00:05:29,520 Speaker 3: you know, until there was alternate media, that's really the 110 00:05:29,520 --> 00:05:33,719 Speaker 3: only chance choice they had, so you know what they want. Correct. 111 00:05:33,800 --> 00:05:35,120 Speaker 3: So if you know, if you want to push a 112 00:05:35,200 --> 00:05:38,880 Speaker 3: narrative that America is horrible and racist, you only focus 113 00:05:38,920 --> 00:05:41,520 Speaker 3: on stories of that angle, and then it becomes true 114 00:05:41,560 --> 00:05:42,920 Speaker 3: and then people themselves. 115 00:05:42,560 --> 00:05:44,960 Speaker 2: Another thing that he would have learned in Nazi Germany. 116 00:05:45,520 --> 00:05:48,000 Speaker 3: Correct, Yeah, so they actually more part of the Nazi 117 00:05:48,000 --> 00:05:51,160 Speaker 3: Germany thing. It was even more bizarre that he didn't 118 00:05:51,600 --> 00:05:54,400 Speaker 3: have any cognizance of the optics of what he was saying, 119 00:05:54,480 --> 00:05:57,440 Speaker 3: and that even though you are someone who legitimately doesn't 120 00:05:57,480 --> 00:06:00,440 Speaker 3: care about what you did, you think you'd not atend 121 00:06:00,520 --> 00:06:02,160 Speaker 3: and go, oh my god, it was the worst thing 122 00:06:02,160 --> 00:06:04,080 Speaker 3: I had to do my whole life. I've been trying 123 00:06:04,080 --> 00:06:06,279 Speaker 3: to repent for it by doing blah blah blah. And 124 00:06:06,320 --> 00:06:08,680 Speaker 3: she didn't even have that thought. He was just yet happened, 125 00:06:08,680 --> 00:06:11,839 Speaker 3: you know, Oh. 126 00:06:10,480 --> 00:06:14,240 Speaker 1: Yeah, And I think that that is why some of 127 00:06:14,279 --> 00:06:17,560 Speaker 1: his I guess political investments have been so disturbing. But 128 00:06:17,640 --> 00:06:19,680 Speaker 1: as you're saying this, as you're telling me this about 129 00:06:19,720 --> 00:06:22,479 Speaker 1: the other investments, I'm like, Okay, well is he that 130 00:06:23,480 --> 00:06:26,000 Speaker 1: Could it be that he is this involved in the 131 00:06:26,040 --> 00:06:29,159 Speaker 1: political world because there is insider trading. Has he made 132 00:06:29,240 --> 00:06:34,480 Speaker 1: his fortune by that connection and then increased that connection. 133 00:06:35,000 --> 00:06:37,200 Speaker 1: I mean, it's kind of like a chicken or egg thing. 134 00:06:37,320 --> 00:06:40,719 Speaker 1: What was it his political connections that got him the 135 00:06:40,760 --> 00:06:42,719 Speaker 1: big money and then he puts the money back in 136 00:06:42,760 --> 00:06:44,320 Speaker 1: and gets more political connections. 137 00:06:45,040 --> 00:06:45,240 Speaker 2: Yeah. 138 00:06:45,279 --> 00:06:48,080 Speaker 3: Well, so there is actually this myth among like I guess, 139 00:06:48,839 --> 00:06:52,599 Speaker 3: center left business people, that Soros was responsible for helping 140 00:06:53,000 --> 00:06:56,480 Speaker 3: transition a lot of post Soviet countries to capitalism. And 141 00:06:56,839 --> 00:06:58,960 Speaker 3: what that really means is when a lot of these 142 00:06:58,960 --> 00:07:01,440 Speaker 3: countries broke up, you had all of these state owned 143 00:07:01,480 --> 00:07:04,120 Speaker 3: assets and there's the question of well, who gets them 144 00:07:04,160 --> 00:07:06,440 Speaker 3: and in most of the cases just a select few 145 00:07:06,480 --> 00:07:09,120 Speaker 3: of oligarchs that get assigned those assets and make billions 146 00:07:09,120 --> 00:07:12,920 Speaker 3: of dollars overnight. And Soros, through his political connections, was 147 00:07:12,960 --> 00:07:16,920 Speaker 3: able to because of his control, you know, over certain people, 148 00:07:17,320 --> 00:07:19,160 Speaker 3: and I'm sure you through bribes and all that, was 149 00:07:19,200 --> 00:07:21,000 Speaker 3: able to buy up a lot of these state owned 150 00:07:21,000 --> 00:07:23,040 Speaker 3: assets for pennies on the dollar and make all this 151 00:07:23,120 --> 00:07:26,680 Speaker 3: money for himself, so that him benefiting from corruption was 152 00:07:26,720 --> 00:07:29,160 Speaker 3: sort of spun as. Oh, he was helping these countries 153 00:07:29,240 --> 00:07:32,600 Speaker 3: go capitalists. If they were going socialist and he could 154 00:07:32,600 --> 00:07:34,120 Speaker 3: have made money, he would have done it too. But 155 00:07:34,320 --> 00:07:36,280 Speaker 3: you know, he was I guess smart enough on the 156 00:07:36,280 --> 00:07:37,960 Speaker 3: optics of that. It's been in this favor. 157 00:07:38,680 --> 00:07:41,720 Speaker 1: So ultimately he doesn't leave the United States. He stays here, 158 00:07:41,800 --> 00:07:44,800 Speaker 1: and he decides that he is going to play in 159 00:07:44,840 --> 00:07:49,880 Speaker 1: politics and influence modern day US politics, and so he 160 00:07:50,000 --> 00:07:53,280 Speaker 1: has been increasingly involved. I think that in the last 161 00:07:53,440 --> 00:07:57,239 Speaker 1: ten years we've probably heard more and more about George Soros. 162 00:07:57,200 --> 00:07:58,800 Speaker 2: And what he's been doing. 163 00:07:58,840 --> 00:08:02,280 Speaker 1: Now he's played in I would say, what Republicans saw 164 00:08:02,320 --> 00:08:05,680 Speaker 1: as non traditional politics, and they weren't really in those spaces. 165 00:08:05,720 --> 00:08:09,600 Speaker 1: And so those prosecutors, those das, and suddenly we started 166 00:08:09,640 --> 00:08:12,920 Speaker 1: to see this uptick of crime in the US and 167 00:08:13,160 --> 00:08:15,440 Speaker 1: it was all of a sudden, this connection like, oh, 168 00:08:15,600 --> 00:08:18,280 Speaker 1: wait a minute, He's getting all these soft on crime 169 00:08:18,640 --> 00:08:23,040 Speaker 1: das elected and prosecutors elected, and now we have a 170 00:08:23,040 --> 00:08:25,400 Speaker 1: big crime problem. But what is the endgame there? 171 00:08:25,440 --> 00:08:26,080 Speaker 2: I don't get it. 172 00:08:26,880 --> 00:08:28,840 Speaker 3: That's the thing that even I struggled the answer. But 173 00:08:28,880 --> 00:08:31,240 Speaker 3: you kind of have to just assume it's chaos, you know. 174 00:08:31,360 --> 00:08:35,080 Speaker 3: Like I think there's a tendency among conservatives to at 175 00:08:35,160 --> 00:08:38,560 Speaker 3: least historically, I think it's shifting for the better, that 176 00:08:38,600 --> 00:08:40,600 Speaker 3: they kind of view liberals as people who were just 177 00:08:40,720 --> 00:08:43,080 Speaker 3: misguided and would agree with us if they knew better. 178 00:08:44,160 --> 00:08:46,640 Speaker 1: I think it's like this is Pollyann of you. I mean, 179 00:08:46,679 --> 00:08:49,720 Speaker 1: if we could just tell them, they they would agree. 180 00:08:49,800 --> 00:08:51,839 Speaker 3: Those are that's a case. That's the case of the 181 00:08:51,920 --> 00:08:55,600 Speaker 3: das and explain violent crimes have a very they're very 182 00:08:55,960 --> 00:08:59,000 Speaker 3: reliable statistics because if someone gets murdered, it's getting reported. 183 00:08:59,360 --> 00:09:01,760 Speaker 3: But if you're in an area where there's no point 184 00:09:02,000 --> 00:09:05,960 Speaker 3: in reporting a theft, paradoxically, those areas see a decline 185 00:09:05,960 --> 00:09:08,920 Speaker 3: in theft on paper because no one's reporting them. And 186 00:09:09,000 --> 00:09:12,800 Speaker 3: there was a single month in San Francisco where Target 187 00:09:12,840 --> 00:09:15,600 Speaker 3: and the local and the San Franisco Police Department had 188 00:09:15,600 --> 00:09:19,040 Speaker 3: a system where Target could effectively report one hundred percent 189 00:09:19,120 --> 00:09:22,079 Speaker 3: of shoplisting incidents. Now they end up dropping the system 190 00:09:22,160 --> 00:09:24,880 Speaker 3: to police still didn't respond to them. But there was 191 00:09:24,920 --> 00:09:27,280 Speaker 3: a single month where one hundred percent of incidents at 192 00:09:27,280 --> 00:09:31,199 Speaker 3: the three target locations in San Francisco were actually reported, 193 00:09:31,640 --> 00:09:35,400 Speaker 3: and just from those three locations, the theft rate in 194 00:09:35,440 --> 00:09:37,240 Speaker 3: the entire city doubled for that month. 195 00:09:37,720 --> 00:09:41,280 Speaker 2: So that's and there is it didn't really double. That's 196 00:09:41,320 --> 00:09:42,000 Speaker 2: the sad thing. 197 00:09:42,240 --> 00:09:44,200 Speaker 3: Yeah, that's the end. There's tens of thousands. I mean, 198 00:09:44,280 --> 00:09:46,520 Speaker 3: the thing is close to one hundred thousand small businesses 199 00:09:46,520 --> 00:09:49,440 Speaker 3: in San Francisco, so you can just extrapolate from that 200 00:09:49,520 --> 00:09:53,160 Speaker 3: what is the real crime rate, and it is it's 201 00:09:53,200 --> 00:09:55,199 Speaker 3: like an upside down world where you will be seeing 202 00:09:55,240 --> 00:09:57,480 Speaker 3: homes that are worth millions of dollars, You'll be seeing 203 00:09:57,480 --> 00:10:00,120 Speaker 3: all these nice cars, and then there are war thing 204 00:10:00,240 --> 00:10:03,000 Speaker 3: is about theft as if you're in an extremely low 205 00:10:03,040 --> 00:10:05,600 Speaker 3: income area and you know, these are kind of places 206 00:10:05,640 --> 00:10:07,920 Speaker 3: where people might pay a premium to avoid that, and 207 00:10:08,000 --> 00:10:09,480 Speaker 3: yet that's right on your doorstep. 208 00:10:10,000 --> 00:10:12,320 Speaker 1: Well, and that's why we've seen so many people suddenly 209 00:10:12,320 --> 00:10:16,199 Speaker 1: frustrated in these communities, and yet they continue to vote 210 00:10:16,200 --> 00:10:18,800 Speaker 1: for this. But I think that that is the combination 211 00:10:19,080 --> 00:10:21,840 Speaker 1: of what you were talking about earlier, his influence in 212 00:10:21,880 --> 00:10:25,760 Speaker 1: the media, his understanding of propaganda, and I'm telling you 213 00:10:26,000 --> 00:10:29,920 Speaker 1: it's become so extreme because it doesn't matter if it's true. 214 00:10:30,000 --> 00:10:34,040 Speaker 1: I mean, even in Michigan, they spliced my words together 215 00:10:34,080 --> 00:10:36,840 Speaker 1: and made me say things that I didn't say in commercials. 216 00:10:36,840 --> 00:10:40,440 Speaker 1: And afterward they openly asked Gretchen Whimer, do you did 217 00:10:40,480 --> 00:10:43,160 Speaker 1: you know that these were not the things she said? 218 00:10:43,360 --> 00:10:45,280 Speaker 1: And she was fine with it. She said, yeah, we 219 00:10:45,400 --> 00:10:46,520 Speaker 1: knew that, but we won. 220 00:10:47,200 --> 00:10:47,959 Speaker 2: So they are. 221 00:10:48,200 --> 00:10:51,520 Speaker 1: Manipulating the minds of the people, fully manipulating the Not 222 00:10:51,679 --> 00:10:55,000 Speaker 1: reporting crime is also a manipulation if you think about that, 223 00:10:55,160 --> 00:10:57,760 Speaker 1: because you keep seeing Biden come out and say, oh, 224 00:10:57,840 --> 00:10:59,640 Speaker 1: we've got the lowest crime ever. 225 00:11:00,120 --> 00:11:03,480 Speaker 2: Well you also have let's go back to California. You 226 00:11:03,600 --> 00:11:03,920 Speaker 2: have this. 227 00:11:04,120 --> 00:11:06,360 Speaker 1: We're not going to put you in jail if you 228 00:11:06,920 --> 00:11:10,320 Speaker 1: or arrest you if you steal under nine hundred dollars, 229 00:11:10,320 --> 00:11:13,760 Speaker 1: and therefore that's not recorded as crimes either. So as 230 00:11:13,800 --> 00:11:16,480 Speaker 1: you let these people out, as you don't charge them, 231 00:11:16,600 --> 00:11:18,880 Speaker 1: when they go back out on the streets. 232 00:11:18,600 --> 00:11:21,240 Speaker 2: There's no record that they did what they did. 233 00:11:21,440 --> 00:11:24,320 Speaker 1: And so even though we feel the crime, we know 234 00:11:24,400 --> 00:11:28,280 Speaker 1: it's more it's more unsafe. When we got outside, there's 235 00:11:28,320 --> 00:11:30,840 Speaker 1: more criminals on the street, there's more problems. 236 00:11:31,559 --> 00:11:33,880 Speaker 2: We don't know. We don't have those numbers because they 237 00:11:33,920 --> 00:11:34,600 Speaker 2: aren't recorded. 238 00:11:35,360 --> 00:11:37,440 Speaker 3: Yeah, and that's actually what you described as a problem 239 00:11:37,520 --> 00:11:40,000 Speaker 3: with the whole philosophy of second chances, and that it's 240 00:11:40,040 --> 00:11:43,400 Speaker 3: impossible to enforce because if I go out robistore on 241 00:11:43,440 --> 00:11:46,800 Speaker 3: San Francisco, if I somehow get arrested, which is unlikely, 242 00:11:47,160 --> 00:11:49,240 Speaker 3: and the judge says, you know what, you messed up, 243 00:11:49,240 --> 00:11:51,439 Speaker 3: We'll give you a second chance. If I go do 244 00:11:51,559 --> 00:11:54,920 Speaker 3: that again and get arrested, I don't have a criminal record, 245 00:11:55,200 --> 00:11:58,360 Speaker 3: So if I get a different judge, they're going to say, oh, well, 246 00:11:58,400 --> 00:12:00,480 Speaker 3: you know you messed up, ones you get a second chance. 247 00:12:00,520 --> 00:12:02,520 Speaker 3: And in theory, you could have an infinite number of 248 00:12:02,600 --> 00:12:05,640 Speaker 3: second chances by that kind of policy. And you know, 249 00:12:05,720 --> 00:12:08,599 Speaker 3: the years this common thread with these DA's where criminals 250 00:12:08,600 --> 00:12:11,880 Speaker 3: are somehow the real victims. And you know, there's there's 251 00:12:11,920 --> 00:12:14,480 Speaker 3: never a single person on the planet who's treated as 252 00:12:14,480 --> 00:12:16,760 Speaker 3: if they could just be a person who's morally loose, 253 00:12:16,800 --> 00:12:19,400 Speaker 3: who wants to feed the steal. It has to be well, 254 00:12:19,440 --> 00:12:22,959 Speaker 3: they're discriminated against by society in some reason. They will 255 00:12:23,000 --> 00:12:26,160 Speaker 3: speak about crime as if you know, one more after 256 00:12:26,280 --> 00:12:29,240 Speaker 3: school program being solved, we just have prevented all of this, 257 00:12:29,400 --> 00:12:32,840 Speaker 3: and crime exists everywhere in the world, and there are 258 00:12:33,360 --> 00:12:36,720 Speaker 3: European countries where the income rates are you know, one 259 00:12:36,800 --> 00:12:38,920 Speaker 3: tenth of that of the US, and their crime rates 260 00:12:38,920 --> 00:12:42,200 Speaker 3: are you know, ninety percent lower, like you know Albeania 261 00:12:42,280 --> 00:12:42,920 Speaker 3: and Romania. 262 00:12:43,440 --> 00:12:46,760 Speaker 1: Well, it's like in DC, they just literally came out, 263 00:12:46,800 --> 00:12:49,080 Speaker 1: what was it, It was like, I. 264 00:12:48,960 --> 00:12:52,120 Speaker 2: Think it was the district attorney. I'm not sure. 265 00:12:52,160 --> 00:12:54,160 Speaker 1: They came out and said, we're not going to arrest 266 00:12:54,160 --> 00:12:56,160 Speaker 1: ourselves out of this carjacking wave. 267 00:12:56,280 --> 00:12:59,559 Speaker 2: It's like, but yes, you can. Yeah, that's exactly how 268 00:12:59,559 --> 00:13:00,200 Speaker 2: you do it. 269 00:13:00,320 --> 00:13:03,040 Speaker 3: Yeah, you know El Salvador is the best example of that. 270 00:13:03,120 --> 00:13:05,680 Speaker 3: And you know, they had the advantage of their country 271 00:13:05,720 --> 00:13:08,440 Speaker 3: where for some reason, their gang members tattoo exactly what 272 00:13:08,559 --> 00:13:10,360 Speaker 3: gang they're part of, so it was very easy to 273 00:13:10,440 --> 00:13:12,800 Speaker 3: arrest them. But they at one point had a murder 274 00:13:12,880 --> 00:13:15,480 Speaker 3: rate of like one hundred and fifty people for ever 275 00:13:15,640 --> 00:13:17,760 Speaker 3: or one hundred fifty murders for one hundred thousand people, 276 00:13:17,840 --> 00:13:20,320 Speaker 3: which it was the highest in the world at the time, 277 00:13:20,360 --> 00:13:24,079 Speaker 3: and for reference, that was five times higher than Chicago's. Well, 278 00:13:24,200 --> 00:13:26,840 Speaker 3: they arrested almost every gang member in their country, and 279 00:13:26,880 --> 00:13:29,640 Speaker 3: their murder rate is now seventy five percent lower than ours. 280 00:13:29,960 --> 00:13:33,760 Speaker 3: So they went for being five times Chicago to basically 281 00:13:33,840 --> 00:13:36,040 Speaker 3: as safe as Vermont or Maine or a state like that, 282 00:13:36,160 --> 00:13:38,760 Speaker 3: or a Midwestern state in a single you know, in 283 00:13:38,840 --> 00:13:42,120 Speaker 3: less than a decade, and they arrested themselves out of 284 00:13:42,120 --> 00:13:43,560 Speaker 3: the problem. So yeah, it seems to work. 285 00:13:43,720 --> 00:13:46,440 Speaker 2: Let's take a quick commercial break. We'll continue next on 286 00:13:46,480 --> 00:13:53,160 Speaker 2: a Tutor Dixon podcast. You hear people talk. 287 00:13:52,960 --> 00:13:55,360 Speaker 1: About why they're running for office, right, but I mean, 288 00:13:55,760 --> 00:13:59,120 Speaker 1: as you listen to these presidential candidates, it should be 289 00:13:59,120 --> 00:14:01,880 Speaker 1: a given that one reason we have government is to 290 00:14:01,960 --> 00:14:02,600 Speaker 1: keep you safe. 291 00:14:02,640 --> 00:14:05,319 Speaker 2: That public safety should be a top priority. 292 00:14:05,360 --> 00:14:08,079 Speaker 1: And not only does that matter in your town or 293 00:14:08,120 --> 00:14:11,360 Speaker 1: on the border or nationally, Like these are things that 294 00:14:11,920 --> 00:14:14,959 Speaker 1: you kind of come to expect from the United States. 295 00:14:15,000 --> 00:14:17,319 Speaker 1: And I think it's been slowly eroding, like I said, 296 00:14:17,360 --> 00:14:18,400 Speaker 1: over the past ten years. 297 00:14:18,440 --> 00:14:20,760 Speaker 2: Who started being like, oh wow, wait wait. 298 00:14:20,560 --> 00:14:23,240 Speaker 1: George Soros's name is on a lot of these lists 299 00:14:23,240 --> 00:14:25,880 Speaker 1: of donor lists, and a lot of these people that 300 00:14:25,960 --> 00:14:29,640 Speaker 1: got elected that are not arresting people are connected to that. 301 00:14:29,840 --> 00:14:32,440 Speaker 1: One other thing. I mean, I think that your comment 302 00:14:32,480 --> 00:14:36,440 Speaker 1: on chaos is interesting. I think chaos is a way 303 00:14:36,520 --> 00:14:38,680 Speaker 1: to fully take down a country and there's only one 304 00:14:38,760 --> 00:14:40,960 Speaker 1: way to really take down the United States, and that 305 00:14:41,000 --> 00:14:43,560 Speaker 1: would be to create chaos to the point where the 306 00:14:43,600 --> 00:14:46,760 Speaker 1: country is so unstable that then someone else can roll in. 307 00:14:46,840 --> 00:14:49,680 Speaker 1: And so you have to wonder, well, what is his 308 00:14:49,880 --> 00:14:53,440 Speaker 1: endgame here? And he's now moved on and he's retired 309 00:14:53,480 --> 00:14:55,880 Speaker 1: and supposedly he's handing the baton to his son, and 310 00:14:55,920 --> 00:14:58,080 Speaker 1: everybody's like, oh, maybe this is an option in the 311 00:14:58,120 --> 00:15:00,080 Speaker 1: Sun's like, no, I'm going to be. 312 00:15:00,120 --> 00:15:02,560 Speaker 2: Even more political. I'm going to be more involved. 313 00:15:02,560 --> 00:15:07,280 Speaker 1: But we're watching this from the standpoint of secretaries of state, 314 00:15:07,320 --> 00:15:09,240 Speaker 1: and I just want to bring this up quickly because 315 00:15:09,640 --> 00:15:13,880 Speaker 1: we watched Katie Hobbs, she was secretary of state. She 316 00:15:14,120 --> 00:15:17,400 Speaker 1: was a George Soro's candidate in Michigan. Jocelyn Benson a 317 00:15:17,440 --> 00:15:21,120 Speaker 1: secretary of state George Soro's candidate. They are all, as 318 00:15:21,360 --> 00:15:24,520 Speaker 1: Justlyn Benson would say, they're all coordinating. And the leftist 319 00:15:24,560 --> 00:15:26,440 Speaker 1: media is like, of course you're coordinating. You have to 320 00:15:26,440 --> 00:15:29,320 Speaker 1: make sure that you protect everyone from these election people. 321 00:15:29,440 --> 00:15:32,600 Speaker 1: You know, we've got to save democracy. But I think 322 00:15:32,640 --> 00:15:35,480 Speaker 1: it is kind of interesting, as you talk about chaos 323 00:15:35,520 --> 00:15:39,560 Speaker 1: to see these folks who are doing crazy things, like 324 00:15:39,640 --> 00:15:41,880 Speaker 1: even Gretchen Whitmer in the state of Michigan is now 325 00:15:42,320 --> 00:15:45,800 Speaker 1: giving people five hundred dollars to take an illegal immigrant 326 00:15:45,880 --> 00:15:49,680 Speaker 1: into their home and and she'll pay the rent for 327 00:15:49,800 --> 00:15:52,920 Speaker 1: ten years or for twelve months if you take someone 328 00:15:53,080 --> 00:15:56,080 Speaker 1: into your home. I mean bringing these people into our state. 329 00:15:56,200 --> 00:16:00,680 Speaker 1: That to me is causing chaos. And again, someone who 330 00:16:00,680 --> 00:16:03,240 Speaker 1: took money from George Soros, but the secretaries of State, 331 00:16:03,440 --> 00:16:07,320 Speaker 1: Katie Hobbs ran her own election for governor. Jocelyn Benson 332 00:16:07,640 --> 00:16:10,240 Speaker 1: has always also come out and said she's going to 333 00:16:10,320 --> 00:16:13,320 Speaker 1: run for governor. So again she will run her own 334 00:16:13,440 --> 00:16:17,080 Speaker 1: election for governor. They get into the secretary of State positions, 335 00:16:17,200 --> 00:16:20,600 Speaker 1: they kind of change the rules around elections and they 336 00:16:20,680 --> 00:16:23,240 Speaker 1: leave people on the voter list, they don't clean things up, 337 00:16:23,280 --> 00:16:25,200 Speaker 1: and then suddenly they're running. 338 00:16:24,880 --> 00:16:29,040 Speaker 2: For the highest the highest elected seat in the state. 339 00:16:29,440 --> 00:16:30,920 Speaker 2: Doesn't that seem a little fishy? 340 00:16:31,320 --> 00:16:31,480 Speaker 1: Yeah? 341 00:16:31,520 --> 00:16:34,120 Speaker 3: And Soros actually started a project in the early two 342 00:16:34,160 --> 00:16:38,520 Speaker 3: thousands called the Secretary of State Project, and the whole 343 00:16:38,560 --> 00:16:42,400 Speaker 3: point was to stop the and prevent a kind of, 344 00:16:42,880 --> 00:16:45,520 Speaker 3: you know, the whole recount situation that happened with George W. 345 00:16:45,600 --> 00:16:48,000 Speaker 3: Bush where he you know, you know, marginally sweeked out 346 00:16:48,040 --> 00:16:50,600 Speaker 3: the victory in Florida, So he did that for the 347 00:16:50,640 --> 00:16:54,080 Speaker 3: express purpose of presidential elections, and as we know, he's 348 00:16:54,080 --> 00:16:57,120 Speaker 3: increasingly gone local. So yeah, it makes perfect sense that 349 00:16:57,160 --> 00:16:59,720 Speaker 3: he would do that. And one of the things you 350 00:16:59,760 --> 00:17:02,400 Speaker 3: kind of of noticed in studying these people is yes, 351 00:17:02,440 --> 00:17:05,360 Speaker 3: they are all connected. I mean, even within the Biden administration, 352 00:17:05,440 --> 00:17:07,600 Speaker 3: there are a dozen or so people that have at 353 00:17:07,680 --> 00:17:09,760 Speaker 3: least been connected with Soros and that they've worked for 354 00:17:09,800 --> 00:17:11,960 Speaker 3: a Soros funded group, have served on the board of 355 00:17:11,960 --> 00:17:15,879 Speaker 3: a source group near Tandent and ron Klain, you know, 356 00:17:15,880 --> 00:17:17,760 Speaker 3: in some capacity, or on the board of the Center 357 00:17:17,800 --> 00:17:21,320 Speaker 3: for American Progress, which is Soros linked. Our Secretary of State, 358 00:17:21,400 --> 00:17:26,000 Speaker 3: Anthony Blincoln, his parents are major donors Soros's endeavors, and 359 00:17:26,000 --> 00:17:29,679 Speaker 3: in fact, at Central European University, which is started by 360 00:17:29,720 --> 00:17:32,879 Speaker 3: George Soros, they have a digital archive of you know, 361 00:17:32,960 --> 00:17:36,280 Speaker 3: various books and the archive is named after Anthony Blincoln's parents. 362 00:17:37,160 --> 00:17:39,240 Speaker 3: And one of the first things he did after taking 363 00:17:39,280 --> 00:17:42,680 Speaker 3: off is was he sanctioned one of his biggest critics 364 00:17:42,680 --> 00:17:46,040 Speaker 3: in Albania, who is the first democratically elected president in 365 00:17:46,080 --> 00:17:48,920 Speaker 3: the country, and Soros tried to sway him and failed 366 00:17:48,960 --> 00:17:52,280 Speaker 3: and I guess got revenge two or three decades later 367 00:17:52,400 --> 00:17:55,720 Speaker 3: from that. He now can't enter the US. So a 368 00:17:55,840 --> 00:17:58,000 Speaker 3: very petty guy, I guess. But he has an enormous 369 00:17:58,000 --> 00:18:00,200 Speaker 3: amount of influence in all these people. The influence is 370 00:18:00,240 --> 00:18:01,480 Speaker 3: are connected to some degree. 371 00:18:02,240 --> 00:18:05,480 Speaker 1: But I meann't just going back to being a fourteen 372 00:18:05,520 --> 00:18:08,399 Speaker 1: year old and watching the behind the scenes of everything 373 00:18:08,400 --> 00:18:11,320 Speaker 1: that's happening in Nazi Germany, and everybody's like, oh, you know, 374 00:18:11,359 --> 00:18:13,920 Speaker 1: he was thirteen and by the time he turned fifteen, 375 00:18:14,119 --> 00:18:16,919 Speaker 1: the war was over, but he was I mean, that 376 00:18:17,000 --> 00:18:19,200 Speaker 1: was a critical time of learning. You think about, this 377 00:18:19,240 --> 00:18:22,600 Speaker 1: is your freshman year in high school, so you're learning 378 00:18:22,640 --> 00:18:25,320 Speaker 1: not only a lot of social stuff, but you're learning 379 00:18:25,359 --> 00:18:29,840 Speaker 1: life lessons. He is behind the scenes with one of 380 00:18:29,880 --> 00:18:35,960 Speaker 1: the most manipulative regimes in history that was able to 381 00:18:37,200 --> 00:18:40,440 Speaker 1: twist people's minds and make them believe that what he 382 00:18:40,560 --> 00:18:43,640 Speaker 1: was doing was okay, And you think about, how could 383 00:18:43,680 --> 00:18:46,679 Speaker 1: that possibly have ever happened? But now we see this 384 00:18:46,760 --> 00:18:51,040 Speaker 1: happening on college campuses. We've seen this situation with Hamas 385 00:18:51,080 --> 00:18:54,280 Speaker 1: where people have come out and supported Hamas. 386 00:18:53,760 --> 00:18:56,280 Speaker 2: And you're like, what are you? I mean, even I 387 00:18:56,280 --> 00:18:56,600 Speaker 2: think the. 388 00:18:58,200 --> 00:19:01,359 Speaker 1: Most interesting one was the letter from Osama bin Laden 389 00:19:01,560 --> 00:19:06,200 Speaker 1: when recently college students started to say, gosh, poor Osama 390 00:19:06,240 --> 00:19:08,879 Speaker 1: bin Laden, this really makes sense why he did what 391 00:19:08,960 --> 00:19:10,800 Speaker 1: he did, and people in. 392 00:19:10,720 --> 00:19:12,440 Speaker 2: The United States are like, how is this happening? 393 00:19:12,440 --> 00:19:14,560 Speaker 1: But isn't this the isn't this what he would have 394 00:19:14,680 --> 00:19:18,399 Speaker 1: learned how to do this, how to manipulate the human mind? 395 00:19:18,920 --> 00:19:20,879 Speaker 3: Well? Yeah, and actually, when Hamas took power in two 396 00:19:20,880 --> 00:19:23,840 Speaker 3: thousand and seven, Soros write a letter complaining that the 397 00:19:23,920 --> 00:19:26,399 Speaker 3: US in Israel didn't want to work with what he 398 00:19:26,480 --> 00:19:30,240 Speaker 3: called the democratically elected government. So that's just to show 399 00:19:30,320 --> 00:19:33,919 Speaker 3: his judgment. And it's all. I mean, it is funny 400 00:19:33,920 --> 00:19:36,840 Speaker 3: in context of how if you criticize Soros, it's called 401 00:19:36,840 --> 00:19:40,000 Speaker 3: anti semitic, so it's like, you know, it's just I 402 00:19:40,000 --> 00:19:42,920 Speaker 3: think the worst anti Semite on Twitter has never done 403 00:19:42,960 --> 00:19:47,280 Speaker 3: the Nazi parties bidding and right, So you know, it's 404 00:19:47,320 --> 00:19:49,520 Speaker 3: funny in that regard. And you mentioned the Osama bin 405 00:19:49,560 --> 00:19:52,320 Speaker 3: Laden letter, and liberals were citing it to kind of 406 00:19:52,400 --> 00:19:55,439 Speaker 3: claim that, oh, they wasn't busy hated us for our freedom, 407 00:19:55,520 --> 00:19:57,919 Speaker 3: it's because of our foreign policy. And I don't think 408 00:19:57,960 --> 00:20:00,240 Speaker 3: they read the letter, because yes, he did criticis as 409 00:20:00,240 --> 00:20:03,480 Speaker 3: our foreign policy. But he also criticized American morality that 410 00:20:03,480 --> 00:20:06,560 Speaker 3: we let women have rights, that gay people aren't discriminated against, 411 00:20:06,800 --> 00:20:09,640 Speaker 3: et cetera, et cetera. So he covered both bases there 412 00:20:09,680 --> 00:20:12,040 Speaker 3: and the liberals that just ignored half of the letter 413 00:20:12,080 --> 00:20:12,679 Speaker 3: for some reason. 414 00:20:13,680 --> 00:20:17,200 Speaker 1: Yeah, so what happens now that you have I mean, 415 00:20:17,359 --> 00:20:19,199 Speaker 1: I think a lot of people were like, Okay, George 416 00:20:19,200 --> 00:20:22,560 Speaker 1: Soros is really old, so this is probably going to 417 00:20:22,600 --> 00:20:23,119 Speaker 1: go away. 418 00:20:23,200 --> 00:20:26,040 Speaker 2: It's not going away. He's passing this down to his son. 419 00:20:26,200 --> 00:20:28,520 Speaker 1: His son has been watching all of this, and they 420 00:20:29,040 --> 00:20:33,080 Speaker 1: have their fingers in everything. That the media is very controlling. 421 00:20:33,600 --> 00:20:37,800 Speaker 1: The media has had a huge effect on the minds 422 00:20:37,800 --> 00:20:40,159 Speaker 1: of Americans, and I do think that we saw that 423 00:20:41,040 --> 00:20:45,840 Speaker 1: most clearly on election night in twenty sixteen, because they 424 00:20:45,920 --> 00:20:48,040 Speaker 1: told us who to vote for and we didn't, and 425 00:20:48,080 --> 00:20:50,960 Speaker 1: you could see in their faces they were like, what, 426 00:20:51,840 --> 00:20:52,679 Speaker 1: how could we have? 427 00:20:53,040 --> 00:20:53,760 Speaker 2: We lost this? 428 00:20:53,960 --> 00:20:56,200 Speaker 1: You know? And I mean some of them outright said, 429 00:20:56,280 --> 00:20:58,800 Speaker 1: we are the ones that are supposed to be controlling 430 00:20:58,840 --> 00:21:02,240 Speaker 1: the minds of the people. They're so hook line and 431 00:21:02,280 --> 00:21:05,920 Speaker 1: synker into this. We control the narrative and you follow 432 00:21:06,040 --> 00:21:09,360 Speaker 1: what we say. But I mean, how pathetic is that 433 00:21:09,480 --> 00:21:13,440 Speaker 1: for those far left media organizations, that these people are 434 00:21:13,600 --> 00:21:16,880 Speaker 1: just pawns in his game. I mean, they're just pieces 435 00:21:16,920 --> 00:21:17,800 Speaker 1: on his chessboard. 436 00:21:18,520 --> 00:21:20,840 Speaker 3: Well, what is kind of incredible to me is that 437 00:21:20,880 --> 00:21:25,000 Speaker 3: despite people like Soros and the overwhelming majority of the 438 00:21:25,080 --> 00:21:28,280 Speaker 3: media being liberal, of people who identify with a party, 439 00:21:28,320 --> 00:21:31,560 Speaker 3: it's pretty much split between Republicans and Democrats evenly. And 440 00:21:31,600 --> 00:21:34,680 Speaker 3: that's with the media that's ninety percent plus liberal. I mean, 441 00:21:34,720 --> 00:21:38,040 Speaker 3: if the media is ninety percent Republican, I think the 442 00:21:38,119 --> 00:21:41,400 Speaker 3: numbers would be overwhelmingly right wing to left. And yet 443 00:21:41,680 --> 00:21:44,040 Speaker 3: even with ninety percent market share, the best that can 444 00:21:44,040 --> 00:21:47,159 Speaker 3: achieve is a break Even. Now, when it comes to 445 00:21:47,359 --> 00:21:50,720 Speaker 3: Alex Soro's taking over, he has twenty billion dollars to 446 00:21:50,800 --> 00:21:53,679 Speaker 3: work with, and when it comes to predicting what's going 447 00:21:53,720 --> 00:21:56,639 Speaker 3: to happen, I would say the minimum is just everything 448 00:21:56,680 --> 00:21:59,720 Speaker 3: that's been happening so far gets continued. Then you know, 449 00:21:59,720 --> 00:22:01,959 Speaker 3: the world cases he adds some issues on top of that, 450 00:22:02,000 --> 00:22:05,720 Speaker 3: which seems likely the only thing we have that's I 451 00:22:05,720 --> 00:22:07,439 Speaker 3: guess a positive is that he is sort of the 452 00:22:07,440 --> 00:22:09,560 Speaker 3: man in front of the curtain and that he just 453 00:22:09,680 --> 00:22:12,280 Speaker 3: brags in his social media of every single meeting he 454 00:22:12,320 --> 00:22:15,199 Speaker 3: does with every politician he does, so it makes it 455 00:22:15,359 --> 00:22:18,160 Speaker 3: very easy to attract his influence. And uh, I'm sure 456 00:22:18,200 --> 00:22:20,920 Speaker 3: he'll say its anti semitic to view his Instagram posts, 457 00:22:20,920 --> 00:22:22,919 Speaker 3: but at least we know he is. 458 00:22:22,960 --> 00:22:26,439 Speaker 2: He does he have a family now that I know of. 459 00:22:26,520 --> 00:22:28,320 Speaker 3: I mean, I didn't look too much into that, although 460 00:22:28,359 --> 00:22:30,119 Speaker 3: I have tried to interview him because I want to 461 00:22:30,119 --> 00:22:32,280 Speaker 3: do another book, and I know he knows who I am, 462 00:22:32,320 --> 00:22:35,359 Speaker 3: but does not I guess like me for obvious reasons. 463 00:22:35,720 --> 00:22:37,440 Speaker 2: It sounds like we need to find him a good 464 00:22:37,480 --> 00:22:38,440 Speaker 2: conservative woman. 465 00:22:38,760 --> 00:22:41,680 Speaker 3: Well he didn't, are Huma Abiden? 466 00:22:42,400 --> 00:22:42,600 Speaker 2: Oh? 467 00:22:42,880 --> 00:22:45,600 Speaker 3: Is he? Yeah? He posts on Valentine's Day a photo 468 00:22:45,680 --> 00:22:48,159 Speaker 3: of them together, so I. 469 00:22:48,160 --> 00:22:52,320 Speaker 2: Guess, yeah, that's a weird relationship. 470 00:22:52,400 --> 00:22:52,640 Speaker 3: Sorry. 471 00:22:52,720 --> 00:22:55,120 Speaker 2: Uh yeah, she has a strange history, so. 472 00:22:55,960 --> 00:22:59,000 Speaker 3: She knows how to pick him right exactly. 473 00:22:59,359 --> 00:23:02,200 Speaker 1: I'm like, probably not going to prior away from that one. 474 00:23:02,320 --> 00:23:05,800 Speaker 1: She's made some mistakes in the past, so I don't 475 00:23:05,880 --> 00:23:07,960 Speaker 1: know how we step in there. 476 00:23:08,880 --> 00:23:11,840 Speaker 2: So okay, so let's take a quick commercial break. We'll 477 00:23:11,840 --> 00:23:19,119 Speaker 2: continue next on the Tutor Dixon Podcast looking forward to 478 00:23:19,400 --> 00:23:22,000 Speaker 2: twenty twenty four. What do you think I mean, he 479 00:23:22,119 --> 00:23:23,520 Speaker 2: seems to be losing a. 480 00:23:23,480 --> 00:23:25,880 Speaker 1: Little bit of control over this because now people are 481 00:23:26,040 --> 00:23:31,280 Speaker 1: literally named Soros funded, and that's become a negative connotation. 482 00:23:31,480 --> 00:23:33,040 Speaker 2: So what does that do to the sun. 483 00:23:33,359 --> 00:23:35,760 Speaker 1: But what does that also do to a lot of 484 00:23:35,800 --> 00:23:40,000 Speaker 1: these people who are running in law enforcement positions to 485 00:23:40,080 --> 00:23:42,960 Speaker 1: be elected as an attorney's general and to be elected 486 00:23:43,040 --> 00:23:47,480 Speaker 1: as district attorneys and secretaries of state and those positions 487 00:23:47,760 --> 00:23:51,120 Speaker 1: where you are having an influence over whether it is 488 00:23:51,400 --> 00:23:56,600 Speaker 1: how a judgment is held or prosecuting someone, or even elections. 489 00:23:57,040 --> 00:23:58,680 Speaker 2: Now Soro's funded. 490 00:23:58,400 --> 00:24:01,320 Speaker 1: Is becoming a bad name, and how much influence does 491 00:24:01,320 --> 00:24:02,600 Speaker 1: he have going forward? 492 00:24:03,240 --> 00:24:05,760 Speaker 3: So there actually has been a decline in the number 493 00:24:05,800 --> 00:24:07,639 Speaker 3: of soros DA's. I think we're down to we're in 494 00:24:07,760 --> 00:24:10,480 Speaker 3: seventy from seventy five. And there were some who won 495 00:24:10,560 --> 00:24:12,560 Speaker 3: and then some who lost. So I found that in 496 00:24:12,720 --> 00:24:14,760 Speaker 3: a I wrote in the New York Post, I think 497 00:24:14,800 --> 00:24:17,320 Speaker 3: last month that I tracked that about a dozen or 498 00:24:17,320 --> 00:24:20,480 Speaker 3: so that had either been ousted, resigned, or just not 499 00:24:20,600 --> 00:24:24,080 Speaker 3: one reelection. And the most common thing was just them 500 00:24:24,119 --> 00:24:26,560 Speaker 3: not It was just them dropping out and refusing to 501 00:24:26,640 --> 00:24:29,479 Speaker 3: run for re election, knowing how humiliating it would be 502 00:24:29,520 --> 00:24:33,320 Speaker 3: for them to lose. But then there's people like Kim 503 00:24:33,400 --> 00:24:36,640 Speaker 3: Fox of the whole Jaesus Malay fame was one of them. 504 00:24:37,440 --> 00:24:39,120 Speaker 3: And then of the ousted ones, I think the most 505 00:24:39,160 --> 00:24:42,159 Speaker 3: notable was Chase A. Buden in San Francisco, who you know, 506 00:24:42,240 --> 00:24:44,639 Speaker 3: I love to say was too crazy for San Francisco, 507 00:24:44,920 --> 00:24:48,520 Speaker 3: and he kind of shattered the liberal narrative that only 508 00:24:48,560 --> 00:24:50,959 Speaker 3: you know it was racist people motivated to oust him 509 00:24:51,000 --> 00:24:53,879 Speaker 3: because because it was actually the Hispanics and Asians in 510 00:24:53,920 --> 00:24:56,560 Speaker 3: San Francisco who voted in larger numbers than the white 511 00:24:56,640 --> 00:25:00,000 Speaker 3: residents Austin, so that whole narrative of it being racially 512 00:25:00,119 --> 00:25:03,640 Speaker 3: motivated breaks down completely. It's only racially motivated, and that 513 00:25:03,840 --> 00:25:07,719 Speaker 3: those communities were disproportionately affected by those weekend crime policies. 514 00:25:08,200 --> 00:25:12,879 Speaker 3: And Soros himself actually deny it ever having funded Budin 515 00:25:13,040 --> 00:25:16,159 Speaker 3: after that happened while he was in office and it 516 00:25:16,240 --> 00:25:18,560 Speaker 3: was alleged that he funded him, he never saw fit 517 00:25:18,640 --> 00:25:20,480 Speaker 3: to clarify it. Only once he was ousted. Then he 518 00:25:20,560 --> 00:25:23,439 Speaker 3: tried to pretend otherwise. And he of course did fund him. 519 00:25:23,440 --> 00:25:26,080 Speaker 3: He funded him through a pack and he's trying to 520 00:25:26,080 --> 00:25:28,840 Speaker 3: do this whole degree of separation argument where it's no, 521 00:25:28,960 --> 00:25:31,320 Speaker 3: the pack funded him, not me, who funded the pack 522 00:25:31,560 --> 00:25:34,320 Speaker 3: It's logic only a fact checker would fun convincing. 523 00:25:34,359 --> 00:25:37,399 Speaker 1: I guess yeah, right, Well, I think that some of 524 00:25:37,440 --> 00:25:40,840 Speaker 1: these communities that have been affected by the soft on 525 00:25:40,920 --> 00:25:46,120 Speaker 1: crime prosecutors and all those folks out there, they are 526 00:25:46,240 --> 00:25:50,040 Speaker 1: seemingly turning against the Democrats because of that. We've even 527 00:25:50,080 --> 00:25:53,200 Speaker 1: heard rumblings of folks in Detroit, folks in Flint who 528 00:25:53,240 --> 00:25:56,480 Speaker 1: are saying, look, Democrats haven't come out here to help us. 529 00:25:56,640 --> 00:26:00,000 Speaker 1: We're in a bad situation. We've seen the violence increase 530 00:26:00,320 --> 00:26:03,840 Speaker 1: in Detroit. Detroit will say, oh, but our murder rates 531 00:26:03,880 --> 00:26:07,120 Speaker 1: are down, while we compete every year for the top 532 00:26:07,200 --> 00:26:10,200 Speaker 1: space as the most violent city in the country. In 533 00:26:10,280 --> 00:26:13,480 Speaker 1: Michigan alone, we have five of the top twenty most 534 00:26:13,560 --> 00:26:16,640 Speaker 1: violent cities in the country. So you look at that 535 00:26:17,359 --> 00:26:20,160 Speaker 1: and you start to pick apart these blue states where 536 00:26:20,200 --> 00:26:24,680 Speaker 1: people are suffering the most is these communities where they 537 00:26:24,760 --> 00:26:28,000 Speaker 1: continue to let repeat offenders go back out and hurt 538 00:26:28,160 --> 00:26:31,119 Speaker 1: and then they don't Actually, it's almost as though a 539 00:26:31,160 --> 00:26:34,920 Speaker 1: lot of these people who continually steal, rob assault, those 540 00:26:34,960 --> 00:26:38,000 Speaker 1: types of things, they're not put away until they murder, 541 00:26:38,359 --> 00:26:40,439 Speaker 1: and so they're like, oh, well, once they murdered, we 542 00:26:40,520 --> 00:26:42,800 Speaker 1: got rid of them. But I think folks in these 543 00:26:42,800 --> 00:26:46,239 Speaker 1: communities are starting to notice, Hey, we're just sitting ducks here. 544 00:26:46,280 --> 00:26:48,800 Speaker 1: We're just waiting for the bad guy to finally commit 545 00:26:48,840 --> 00:26:50,040 Speaker 1: the crime that puts him away. 546 00:26:50,760 --> 00:26:54,280 Speaker 3: Yeah, crime is an incredibly concentrated problem. Like, if you 547 00:26:54,280 --> 00:26:56,960 Speaker 3: have a crime in your city double or triple, it 548 00:26:57,000 --> 00:26:59,760 Speaker 3: doesn't even necessarily mean there's two to three times as 549 00:26:59,760 --> 00:27:02,240 Speaker 3: many criminals. It's more often the case that the same 550 00:27:02,280 --> 00:27:05,600 Speaker 3: group of criminals is just in Bolden and in Chicago. 551 00:27:05,720 --> 00:27:08,199 Speaker 3: I saw an estimate one so that pretty much the 552 00:27:08,400 --> 00:27:11,919 Speaker 3: entire murder epidemic is attributable to two thousand people in 553 00:27:11,960 --> 00:27:14,560 Speaker 3: a city of millions. Wow, and how hard is it 554 00:27:14,600 --> 00:27:17,119 Speaker 3: really to arrest two thousand people? I mean, the whole 555 00:27:17,160 --> 00:27:20,800 Speaker 3: liberal vision of okay, we need free everything so that 556 00:27:20,880 --> 00:27:23,600 Speaker 3: no one has to worry about money, and also the 557 00:27:23,640 --> 00:27:27,439 Speaker 3: best education system overnight and blah blah blah, and fred 558 00:27:27,480 --> 00:27:31,080 Speaker 3: guaranteed income all of that work versus which doesn't even 559 00:27:31,080 --> 00:27:34,000 Speaker 3: really work, versus just putting two thousand people in jail, Well, 560 00:27:34,200 --> 00:27:35,960 Speaker 3: the latter seems a heck of a lot easier to do. 561 00:27:36,080 --> 00:27:38,639 Speaker 3: And when it comes to people waking up on the 562 00:27:38,640 --> 00:27:42,159 Speaker 3: crime issue, I think in those areas, the GOP should 563 00:27:42,200 --> 00:27:45,359 Speaker 3: just be a single issue party because those people probably 564 00:27:45,400 --> 00:27:47,600 Speaker 3: don't like the party's whole package, but on the issue 565 00:27:47,600 --> 00:27:50,119 Speaker 3: that affects them the most, on crime, that's just what 566 00:27:50,320 --> 00:27:52,520 Speaker 3: we need to be to them is the anti crime party. 567 00:27:52,600 --> 00:27:55,359 Speaker 1: So the story you told about the country that rounded 568 00:27:55,440 --> 00:27:58,480 Speaker 1: up the folks that had the gang tattoos and suddenly 569 00:27:58,560 --> 00:28:02,520 Speaker 1: their murder rate went way down, I mean, to that point, 570 00:28:02,720 --> 00:28:05,359 Speaker 1: Chicago should be the same situation. You know, the bad 571 00:28:05,359 --> 00:28:09,040 Speaker 1: guys round them up once, you know, you take out 572 00:28:09,080 --> 00:28:12,399 Speaker 1: the leaders, and the next guy gets bumped up, you 573 00:28:12,480 --> 00:28:15,280 Speaker 1: take him out too, You get him in jail. You're 574 00:28:15,560 --> 00:28:17,880 Speaker 1: you're out of they're out of business. You know. It's 575 00:28:17,880 --> 00:28:20,719 Speaker 1: the same concept that we have with Hamas and what 576 00:28:20,960 --> 00:28:22,520 Speaker 1: and Yahoo has been trying to say, we got to 577 00:28:22,560 --> 00:28:25,800 Speaker 1: take out the leaders and then we can free these people. 578 00:28:25,880 --> 00:28:28,320 Speaker 1: But as you said, you've got people like George Soros 579 00:28:28,320 --> 00:28:30,080 Speaker 1: who are like, oh, work with this new democracy. 580 00:28:30,080 --> 00:28:30,639 Speaker 2: They're lovely. 581 00:28:31,640 --> 00:28:33,560 Speaker 1: Before I let you go, though, I do want you 582 00:28:33,640 --> 00:28:36,639 Speaker 1: to talk a little bit about the Bongino Report. I 583 00:28:36,680 --> 00:28:40,720 Speaker 1: will sometimes fill in for hosts on different shows, and 584 00:28:41,320 --> 00:28:44,360 Speaker 1: you know, anytime we're doing a podcast here where we're 585 00:28:44,440 --> 00:28:47,720 Speaker 1: recovering breaking news. It's like my number one place I 586 00:28:47,760 --> 00:28:49,880 Speaker 1: go because I'm like, Okay, if I need to know 587 00:28:49,920 --> 00:28:52,040 Speaker 1: what's going on in the world, I know that if 588 00:28:52,080 --> 00:28:53,960 Speaker 1: I go to the Bongino Report, They're going to have 589 00:28:54,040 --> 00:28:54,800 Speaker 1: everything there. 590 00:28:54,880 --> 00:28:57,400 Speaker 2: So for folks who are interested. 591 00:28:56,960 --> 00:28:58,760 Speaker 1: In the news and you don't want to go to 592 00:28:58,920 --> 00:29:01,640 Speaker 1: just one source, explain a little bit about what you 593 00:29:01,640 --> 00:29:03,400 Speaker 1: guys do, because I think it's fantastic. 594 00:29:03,880 --> 00:29:07,040 Speaker 3: Yeah. So, there was sort of a growing awareness that 595 00:29:07,120 --> 00:29:09,840 Speaker 3: Drudge has been moving to the left politically, and no 596 00:29:09,880 --> 00:29:12,880 Speaker 3: one's really sure entirely why it would only be sold 597 00:29:12,920 --> 00:29:14,800 Speaker 3: it or you know, it might have a vendetta against 598 00:29:14,840 --> 00:29:17,360 Speaker 3: Trump or something like that. But at the end of 599 00:29:17,400 --> 00:29:20,520 Speaker 3: twenty nineteen, Dan and I launched on ginareport dot com 600 00:29:20,560 --> 00:29:23,760 Speaker 3: and we have a number of sections, just like Capitol 601 00:29:23,800 --> 00:29:26,640 Speaker 3: Hill News, Cultural Issues, econ. We have a section called 602 00:29:26,680 --> 00:29:30,200 Speaker 3: swamp Watch, which is just sort of more corruption type stories, 603 00:29:31,000 --> 00:29:35,320 Speaker 3: trying like the other sect with national security, Opinion, entertainment, sports, 604 00:29:35,320 --> 00:29:37,840 Speaker 3: and health. I'm glad to remember them all. Then we 605 00:29:37,920 --> 00:29:40,480 Speaker 3: do like if had eighth stories or so per section, 606 00:29:40,600 --> 00:29:42,440 Speaker 3: I mean, it looked really bad if I didn't. Obviously, 607 00:29:43,040 --> 00:29:45,520 Speaker 3: we do eight stories per section. Then we have like 608 00:29:45,520 --> 00:29:48,120 Speaker 3: a top story section, which is rotated more often. It's 609 00:29:48,160 --> 00:29:50,680 Speaker 3: more just breaking news, and it's just sort of just 610 00:29:50,720 --> 00:29:53,200 Speaker 3: a general overview of what we think the best stories 611 00:29:53,240 --> 00:29:56,360 Speaker 3: from the best sources are. And we'll very rarely put 612 00:29:56,400 --> 00:29:59,320 Speaker 3: some liberal sources if they stumble upon a right wing opinion, 613 00:29:59,360 --> 00:30:02,400 Speaker 3: but it's mainly just the highest quality conservative news we 614 00:30:02,400 --> 00:30:04,440 Speaker 3: can find and just stuff we think will be of 615 00:30:04,480 --> 00:30:07,960 Speaker 3: the most used for someone in a daily discussion about politics. 616 00:30:08,440 --> 00:30:11,080 Speaker 1: Well, I really appreciate what you do, and I hope 617 00:30:11,120 --> 00:30:13,960 Speaker 1: more people will head over to The Bonino Report. It's 618 00:30:14,120 --> 00:30:17,240 Speaker 1: updated constantly, so if you are looking for what the 619 00:30:17,320 --> 00:30:20,080 Speaker 1: latest news is on a certain subject, they're going to 620 00:30:20,120 --> 00:30:22,560 Speaker 1: have it. Matt Palumbo, thank you so much for being 621 00:30:22,560 --> 00:30:23,000 Speaker 1: on today. 622 00:30:23,200 --> 00:30:23,800 Speaker 3: My pleasure. 623 00:30:23,840 --> 00:30:25,200 Speaker 2: Thank you, and thank. 624 00:30:25,040 --> 00:30:27,400 Speaker 1: You all for joining us on the Tutor Dixon Podcast. 625 00:30:27,440 --> 00:30:29,920 Speaker 1: For this episode and others. Head over to our website 626 00:30:29,960 --> 00:30:33,480 Speaker 1: tutordisonpodcast dot com. You can subscribe right there, or you 627 00:30:33,520 --> 00:30:36,640 Speaker 1: can go to the iHeartRadio app, Apple Podcasts, or wherever 628 00:30:36,680 --> 00:30:38,960 Speaker 1: you get your podcasts and join us next time on 629 00:30:39,040 --> 00:30:40,240 Speaker 1: the Tutor Dixon Podcast. 630 00:30:40,400 --> 00:30:41,120 Speaker 2: Have a blessing,