1 00:00:00,240 --> 00:00:02,600 Speaker 1: Up next, The Truth with Lisa both part of the 2 00:00:02,600 --> 00:00:06,520 Speaker 1: gang which too many elites on the Coast don't live 3 00:00:06,519 --> 00:00:08,920 Speaker 1: in the real world. They have these grand ideas about 4 00:00:08,920 --> 00:00:11,600 Speaker 1: how society should function, but they don't start for the 5 00:00:11,600 --> 00:00:15,520 Speaker 1: consequences of their own ideology. They insulate themselves in a 6 00:00:15,520 --> 00:00:18,759 Speaker 1: cocoon of their money, fancy degrees, and self righteousness. It's 7 00:00:18,760 --> 00:00:21,040 Speaker 1: time to get a dose of reality. This is The 8 00:00:21,079 --> 00:00:29,920 Speaker 1: Truth with Lisa Booth. Yeah, welcome back to the Truth 9 00:00:30,000 --> 00:00:32,880 Speaker 1: with Lisa Booth. I'm really excited for this week's guest. 10 00:00:33,000 --> 00:00:35,440 Speaker 1: He is absolutely brilliant. You've seen on the TV, You've 11 00:00:35,479 --> 00:00:38,239 Speaker 1: read his work. He's an absolute genius. The one and 12 00:00:38,360 --> 00:00:43,040 Speaker 1: only Victor Davis Hansen. Professor Hanson is a classicist, military 13 00:00:43,040 --> 00:00:46,560 Speaker 1: and historian, and one of the nation's most respected political commentators. 14 00:00:46,880 --> 00:00:49,440 Speaker 1: He's published more than two dozen books, including the New 15 00:00:49,479 --> 00:00:53,320 Speaker 1: York Times bestseller The Case for Trump, and his next book, 16 00:00:53,400 --> 00:00:56,440 Speaker 1: set to come out in October, is titled The Dying Citizen. 17 00:00:56,520 --> 00:01:00,360 Speaker 1: How progressive elites, tribalism, and globalization are destroying the idea 18 00:01:00,400 --> 00:01:02,319 Speaker 1: of America. I know, I can't wait to go get that. 19 00:01:02,600 --> 00:01:05,800 Speaker 1: Professor Hansen is also a Senior Fellow at the Hoover 20 00:01:05,880 --> 00:01:09,520 Speaker 1: Institute at Stanford University and has spent decades in academia. 21 00:01:10,080 --> 00:01:12,640 Speaker 1: And if that's not enough, he's also a farmer in 22 00:01:12,680 --> 00:01:16,680 Speaker 1: San Joaquin Valley of California. Today, Professor Hanson, I have 23 00:01:16,720 --> 00:01:19,880 Speaker 1: a wide ranging conversation about politics, the state of America, 24 00:01:20,000 --> 00:01:22,080 Speaker 1: and the difference between elites who live in a bubble 25 00:01:22,120 --> 00:01:24,240 Speaker 1: and ordinary Americans who live in the woral world. I 26 00:01:24,240 --> 00:01:26,319 Speaker 1: can't wait to get started. So with that, I want 27 00:01:26,319 --> 00:01:29,480 Speaker 1: to welcome Professor Victor Davis Hanson to the show. Professor, 28 00:01:29,520 --> 00:01:31,080 Speaker 1: it's an honor to have you on the Truth with 29 00:01:31,120 --> 00:01:34,120 Speaker 1: Lisa Booth. Thank you for having me. I've seen your work, 30 00:01:34,240 --> 00:01:36,360 Speaker 1: I've read your work. I've every time I've watched you 31 00:01:36,360 --> 00:01:39,080 Speaker 1: on TV. You're absolutely brilliant. But I wasn't as familiar 32 00:01:39,120 --> 00:01:41,880 Speaker 1: with sort of your upbringing. So, you know, in researching 33 00:01:41,920 --> 00:01:44,119 Speaker 1: for the show, I realized that, so your fifth generation 34 00:01:44,160 --> 00:01:46,560 Speaker 1: grape and plum farmer, and you grew up on a 35 00:01:46,640 --> 00:01:49,560 Speaker 1: hunder and thirty five acre farm in Selma, California. And 36 00:01:49,600 --> 00:01:51,520 Speaker 1: what I find so interesting is you actually you had 37 00:01:51,560 --> 00:01:54,880 Speaker 1: a PhD in classics from Stanford University and then you 38 00:01:54,960 --> 00:01:57,800 Speaker 1: decided to go back to selma to help manage your 39 00:01:57,840 --> 00:02:01,280 Speaker 1: family's farm. What was behind that? I think there was 40 00:02:01,360 --> 00:02:04,680 Speaker 1: two less idealistically, there were not a lot of jobs 41 00:02:04,680 --> 00:02:08,240 Speaker 1: in nineteen eighty for classical I was a classical philologist, 42 00:02:08,240 --> 00:02:13,280 Speaker 1: so that's the narrowest uh subset or subdiscipline, and classics 43 00:02:13,280 --> 00:02:18,400 Speaker 1: that was being Greek and Latin language and manuscripts and philology, 44 00:02:18,840 --> 00:02:21,320 Speaker 1: even though I wrote a thesis on ancient history. But 45 00:02:21,880 --> 00:02:25,480 Speaker 1: also I had a grandmother who was ninety three, living alone. 46 00:02:25,720 --> 00:02:28,960 Speaker 1: My parents were both trying to manage the farm and work. 47 00:02:30,160 --> 00:02:34,400 Speaker 1: And uh, I had a twin brother who was had 48 00:02:34,480 --> 00:02:37,680 Speaker 1: just arrived and he had quit graduate school, so he 49 00:02:37,760 --> 00:02:41,440 Speaker 1: asked me if I could help him, because we also 50 00:02:41,480 --> 00:02:43,959 Speaker 1: had another forty five was about a hundred and eighty 51 00:02:44,040 --> 00:02:47,960 Speaker 1: five acres, and we didn't have a lot of money, 52 00:02:48,160 --> 00:02:50,320 Speaker 1: and the storm has kind of been run down because 53 00:02:50,360 --> 00:02:54,080 Speaker 1: my grandfather, who had just died, was elderly. And so 54 00:02:54,120 --> 00:02:58,240 Speaker 1: I did that for five years NonStop, and then for 55 00:02:58,280 --> 00:03:02,160 Speaker 1: the next ten to twelve of I did that. But 56 00:03:02,280 --> 00:03:06,360 Speaker 1: in I had also become a professor at the closest university, 57 00:03:06,440 --> 00:03:09,000 Speaker 1: cal State University, and I started a classics program. They 58 00:03:09,000 --> 00:03:11,880 Speaker 1: didn't have any Latin and Greek program, and I started 59 00:03:11,880 --> 00:03:14,440 Speaker 1: as a part time teacher at four dollars a month, 60 00:03:14,480 --> 00:03:19,040 Speaker 1: and over the next twenty one years we had kind 61 00:03:19,040 --> 00:03:23,040 Speaker 1: of a department of five people and it was pretty successful. 62 00:03:23,080 --> 00:03:27,480 Speaker 1: Then I finally, when I was about forty nine, I 63 00:03:27,600 --> 00:03:31,600 Speaker 1: retired and stopped farming and stopped teaching there. And then 64 00:03:31,600 --> 00:03:34,080 Speaker 1: I commuted one day a week and have an apartment 65 00:03:34,120 --> 00:03:36,960 Speaker 1: pow Out the last seventeen years and was at the 66 00:03:36,960 --> 00:03:39,760 Speaker 1: who I met, the Hoover Institution. But I still live here, 67 00:03:39,800 --> 00:03:42,320 Speaker 1: and I'm speaking from you from my farm and I've 68 00:03:42,320 --> 00:03:46,160 Speaker 1: really been nowhere else the last fourteen months, like everybody else. 69 00:03:46,840 --> 00:03:48,920 Speaker 1: What kind of lessons do you think people could learn 70 00:03:49,000 --> 00:03:52,720 Speaker 1: from farmers and farming? Well, the most important is pragmatism. 71 00:03:53,040 --> 00:03:55,960 Speaker 1: That all of these ideas that we have are the abstract. 72 00:03:57,160 --> 00:03:59,720 Speaker 1: They don't really mean anything unless they're matched with re 73 00:04:00,000 --> 00:04:02,240 Speaker 1: all of of your deeds. So I can I learned that. 74 00:04:02,280 --> 00:04:05,680 Speaker 1: When I got back I'm Stanford. I saw my father 75 00:04:05,960 --> 00:04:08,720 Speaker 1: and my family and they said, well, what can you do? 76 00:04:08,920 --> 00:04:11,200 Speaker 1: And I said, well, I can write fluently in Grant, 77 00:04:11,280 --> 00:04:14,400 Speaker 1: Latin and Greek. I can tell you all the manuscript 78 00:04:14,440 --> 00:04:17,760 Speaker 1: family history of Esklis I'm an expert in the text 79 00:04:17,800 --> 00:04:20,200 Speaker 1: of the cidities, at least I thought I was. And 80 00:04:20,200 --> 00:04:22,560 Speaker 1: they said, can you go down and wire that Raisin d. 81 00:04:22,720 --> 00:04:25,839 Speaker 1: Hyde writer, it's got a two twenty And I said, no, 82 00:04:26,680 --> 00:04:29,440 Speaker 1: I haven't been doing that since I was seventeen eighteen. 83 00:04:29,880 --> 00:04:32,640 Speaker 1: And they said, well, what was the purpose then, And 84 00:04:32,680 --> 00:04:35,039 Speaker 1: they didn't mean to mock education, They just said you 85 00:04:35,080 --> 00:04:38,400 Speaker 1: have to be well rounded. So for the next five 86 00:04:38,480 --> 00:04:41,760 Speaker 1: years I learned that if I was going to survive, 87 00:04:41,839 --> 00:04:45,200 Speaker 1: I had to learn to well drive and service tractors, 88 00:04:45,600 --> 00:04:49,680 Speaker 1: pest asides, uh, go to farmers markets, and pedal through. 89 00:04:49,760 --> 00:04:52,400 Speaker 1: I did all of that with people who most of 90 00:04:52,440 --> 00:04:56,640 Speaker 1: them hadn't graduated from high school, local Mexican American people 91 00:04:56,640 --> 00:04:59,440 Speaker 1: I grew up with, some of them, had a lot 92 00:04:59,440 --> 00:05:02,840 Speaker 1: of people here illegally, and uh. It was really a 93 00:05:02,839 --> 00:05:05,600 Speaker 1: way of testing your education. So if you had ideas 94 00:05:05,600 --> 00:05:08,200 Speaker 1: and the abstract and it didn't work. And one good 95 00:05:08,200 --> 00:05:10,840 Speaker 1: thing about farming, if you say, well, you know, I 96 00:05:10,880 --> 00:05:14,280 Speaker 1: think that they're wrong about suggesting ten pounds of acre 97 00:05:14,360 --> 00:05:18,080 Speaker 1: of ammonium sulfate. I think I could do fifteen. And 98 00:05:18,160 --> 00:05:20,400 Speaker 1: yet if you do fifteen acres and you burn one tree, 99 00:05:20,400 --> 00:05:24,240 Speaker 1: and you did five acres, the first tree doesn't just burn, 100 00:05:24,279 --> 00:05:27,080 Speaker 1: the next three burns and all of them burn because 101 00:05:27,200 --> 00:05:32,000 Speaker 1: you were idealistic or abstract or theoretical, but you didn't 102 00:05:32,000 --> 00:05:36,320 Speaker 1: know the actual conditions on the ground. So I became 103 00:05:36,440 --> 00:05:41,279 Speaker 1: very careful about saying things and postulating or pontificating unless 104 00:05:42,080 --> 00:05:45,200 Speaker 1: I could see where the practical reality. And then the 105 00:05:45,200 --> 00:05:47,400 Speaker 1: other thing very quickly is I gained a great deal 106 00:05:47,440 --> 00:05:52,720 Speaker 1: of respect and uh, I don't know, adulation almost for 107 00:05:52,880 --> 00:05:56,760 Speaker 1: people who made a living with their hands and their wits, farmers, 108 00:05:56,800 --> 00:06:01,640 Speaker 1: independent truck drivers, mechanics, people that I got along with, 109 00:06:01,680 --> 00:06:05,120 Speaker 1: and I did came to a really important discovery at 110 00:06:05,120 --> 00:06:07,000 Speaker 1: a very early age that the people had gone to 111 00:06:07,000 --> 00:06:11,799 Speaker 1: school with as an undergraduate undergraduate UH school were either 112 00:06:11,960 --> 00:06:17,000 Speaker 1: not as bright or no brighter. They were certainly no brighter, 113 00:06:17,040 --> 00:06:19,000 Speaker 1: but many were not as bright as the people out 114 00:06:19,000 --> 00:06:20,880 Speaker 1: in the real world that had to run a seven 115 00:06:20,880 --> 00:06:25,839 Speaker 1: eleven store or a farm supply business. And that was 116 00:06:26,040 --> 00:06:29,279 Speaker 1: kind of I mean, that's not anti enlightenment, but it's 117 00:06:29,920 --> 00:06:33,560 Speaker 1: it's trying to remind America that it doesn't really matter 118 00:06:33,839 --> 00:06:39,000 Speaker 1: what your degrees or your alphabet alphabetic cluster is behind 119 00:06:39,040 --> 00:06:41,800 Speaker 1: your name, if you're not practical. We really saw that 120 00:06:41,880 --> 00:06:45,040 Speaker 1: during the COVID with the careers of Dr Fauci, Dr 121 00:06:45,160 --> 00:06:47,880 Speaker 1: Collins and others. I think, I think that's so fascinating 122 00:06:47,920 --> 00:06:49,800 Speaker 1: because you know, right now there's sort of the schism 123 00:06:49,800 --> 00:06:52,159 Speaker 1: in the country, and you know, you you look at 124 00:06:52,200 --> 00:06:54,560 Speaker 1: the left particularly, and they've really become this party of 125 00:06:54,600 --> 00:06:57,440 Speaker 1: elite and very disconnected from a lot of Americans who 126 00:06:57,839 --> 00:06:59,719 Speaker 1: you know, have a working class background. And that's an 127 00:06:59,720 --> 00:07:02,039 Speaker 1: interest saying for you because you've sort of been in 128 00:07:02,120 --> 00:07:03,880 Speaker 1: both worlds where you'd have been in this sort of 129 00:07:03,880 --> 00:07:07,600 Speaker 1: this elite academia while simultaneously having you know, sort of 130 00:07:07,640 --> 00:07:10,360 Speaker 1: a rule and working class background. Yeah, I think so. 131 00:07:10,400 --> 00:07:12,240 Speaker 1: I'll give you one example. I came. I grew up 132 00:07:12,320 --> 00:07:15,040 Speaker 1: hunting on this farm, and I had we had every 133 00:07:15,040 --> 00:07:18,360 Speaker 1: generation about three or four guns. So the time I 134 00:07:18,400 --> 00:07:22,160 Speaker 1: took over my great great great grandmother's house, the Victorian 135 00:07:22,200 --> 00:07:25,040 Speaker 1: farmhouse that I have, I maybe had twenty guns, but 136 00:07:25,120 --> 00:07:27,040 Speaker 1: they were all old, you know, and I never saw 137 00:07:27,080 --> 00:07:30,080 Speaker 1: them as weapons. But then I noticed that when you 138 00:07:30,120 --> 00:07:33,240 Speaker 1: live out here and that the environment was changing, that 139 00:07:33,280 --> 00:07:36,200 Speaker 1: all your ideas about gun control don't mean anything, because 140 00:07:36,240 --> 00:07:39,080 Speaker 1: what really means something is when at two in the morning, 141 00:07:39,240 --> 00:07:43,160 Speaker 1: when two people on PCP don't speak English and throw 142 00:07:43,160 --> 00:07:46,320 Speaker 1: a rock at your window and yell at you in Spanish, 143 00:07:46,320 --> 00:07:48,400 Speaker 1: they're going to come in and break into your house 144 00:07:48,440 --> 00:07:51,760 Speaker 1: and kill you. And the sheriff is forty miles away, 145 00:07:51,960 --> 00:07:55,240 Speaker 1: forty minutes away, and your son who's ten, and your 146 00:07:55,320 --> 00:07:57,960 Speaker 1: daughter who's eight, and your other daughter is six or crying. 147 00:07:58,080 --> 00:08:01,600 Speaker 1: Then the only thing that protects you from the other world, 148 00:08:01,640 --> 00:08:05,600 Speaker 1: the world of non civilization, is your ability to stop it. 149 00:08:06,160 --> 00:08:08,040 Speaker 1: So I would get it. I had that. It was 150 00:08:08,080 --> 00:08:10,680 Speaker 1: a very traumatic experience, but I got a shot down. 151 00:08:10,760 --> 00:08:13,559 Speaker 1: I went out and confronted the two people. I made 152 00:08:13,600 --> 00:08:16,560 Speaker 1: them walk back to their car that was hidden in 153 00:08:16,560 --> 00:08:19,920 Speaker 1: the vineyard, and I called the sheriff, and the sheriff 154 00:08:19,960 --> 00:08:22,520 Speaker 1: didn't come, and he didn't come, and he didn't come, 155 00:08:22,640 --> 00:08:25,640 Speaker 1: and I sat there in the fog forty degrees in 156 00:08:25,680 --> 00:08:28,280 Speaker 1: a winter night, just waiting until he came. And he 157 00:08:28,360 --> 00:08:31,320 Speaker 1: never came. And then I walked them out, took the 158 00:08:31,400 --> 00:08:33,320 Speaker 1: keys through them in the vineyard and said you're gonna 159 00:08:33,320 --> 00:08:36,480 Speaker 1: walk to town. And I learned something from that, and 160 00:08:36,520 --> 00:08:39,280 Speaker 1: that is that all the focism that I had been 161 00:08:39,280 --> 00:08:41,480 Speaker 1: told as a child by neighbors, and I sort of 162 00:08:41,480 --> 00:08:43,120 Speaker 1: wanted to get away from that and go to the 163 00:08:43,240 --> 00:08:46,320 Speaker 1: university and meet people who were educated. And my parents 164 00:08:46,320 --> 00:08:48,400 Speaker 1: had told me that because they were both educated, and 165 00:08:48,400 --> 00:08:50,199 Speaker 1: they came back in the farm. My mother was one 166 00:08:50,200 --> 00:08:53,439 Speaker 1: of the first women to graduate in Stamford Law School 167 00:08:53,440 --> 00:08:57,199 Speaker 1: in nine and she was the first female appellate court 168 00:08:57,360 --> 00:08:59,680 Speaker 1: judge in California. But yet she went back to the 169 00:08:59,720 --> 00:09:02,920 Speaker 1: farm and her sixties she would pedal fruit with us, 170 00:09:03,000 --> 00:09:04,480 Speaker 1: or my dad would get on the tracker. He was 171 00:09:04,480 --> 00:09:07,080 Speaker 1: a JC administrator and they were running the farm. And 172 00:09:07,120 --> 00:09:11,040 Speaker 1: they had told me, don't ever ever look down on 173 00:09:11,120 --> 00:09:13,720 Speaker 1: your roots or working people, and they will always be 174 00:09:13,800 --> 00:09:16,199 Speaker 1: there for you in a way that your academic friends 175 00:09:16,240 --> 00:09:18,360 Speaker 1: will not. And they were so right. How has this 176 00:09:18,400 --> 00:09:21,400 Speaker 1: all shaped your viewpoint on immigration? You know some of 177 00:09:21,400 --> 00:09:23,880 Speaker 1: the stories you just told. Also, you know, working on 178 00:09:23,920 --> 00:09:26,040 Speaker 1: a farm, growing up where you grew up, how has 179 00:09:26,080 --> 00:09:28,480 Speaker 1: that shaped your viewpoint on immigration in the country. I 180 00:09:28,520 --> 00:09:33,120 Speaker 1: think it's a tragedy because, say, yesterday I got up 181 00:09:33,240 --> 00:09:36,040 Speaker 1: and I went to town. I talked to a guy 182 00:09:36,080 --> 00:09:38,880 Speaker 1: who wants to paint my house. I went to home 183 00:09:38,920 --> 00:09:41,600 Speaker 1: depot and got some parts I went to the diesel 184 00:09:41,679 --> 00:09:45,720 Speaker 1: mechanic and got some fuel additive. But I didn't see 185 00:09:45,760 --> 00:09:49,800 Speaker 1: anybody who was not Mexican American or from Mexico, and 186 00:09:49,840 --> 00:09:51,920 Speaker 1: all of them were wonderful people, and I didn't even. 187 00:09:52,040 --> 00:09:53,880 Speaker 1: I don't even at this point, because we're about eighty 188 00:09:53,880 --> 00:09:56,680 Speaker 1: five percent Hispanic in this town that was once about 189 00:09:56,720 --> 00:10:00,560 Speaker 1: eight white when I was a young kid. But the 190 00:10:00,600 --> 00:10:03,160 Speaker 1: point of what I mean by tragic is every single 191 00:10:03,240 --> 00:10:07,320 Speaker 1: person who came legally or is here legally, or came 192 00:10:07,679 --> 00:10:11,440 Speaker 1: in a measured fashion uh and learned to speak English 193 00:10:11,440 --> 00:10:13,760 Speaker 1: and got a high school to poema are are wildly 194 00:10:13,840 --> 00:10:17,679 Speaker 1: successful that they're intermarried with different people from different backgrounds. 195 00:10:18,080 --> 00:10:21,200 Speaker 1: It may be predominantly Hispanic, but we're getting to the 196 00:10:21,200 --> 00:10:24,520 Speaker 1: point like the Italian immigration of the nineteenth century, where 197 00:10:25,000 --> 00:10:28,199 Speaker 1: people who were Catholic and came from Sicily faced greater 198 00:10:28,280 --> 00:10:32,320 Speaker 1: prejudice than Northern European Protestants. But by three generations, if 199 00:10:32,320 --> 00:10:36,480 Speaker 1: your name was Juliana, Giuliani or Cuomo, nobody could determine 200 00:10:36,520 --> 00:10:40,120 Speaker 1: your politics. And that was happening here. And then when 201 00:10:40,120 --> 00:10:43,840 Speaker 1: we open the borders and people flood in, many of 202 00:10:43,840 --> 00:10:46,280 Speaker 1: them from southern Mexico and that's the point that's never made. 203 00:10:46,360 --> 00:10:49,439 Speaker 1: That people are not coming from the Northern province states 204 00:10:49,520 --> 00:10:53,800 Speaker 1: as they used to, but Yucatan, Chiapas Oahaka, and they're 205 00:10:53,880 --> 00:10:56,920 Speaker 1: much poorer. Some of them do not speak Spanish as 206 00:10:56,920 --> 00:11:01,120 Speaker 1: their primary language. They peaked Uh, sort of a dialect 207 00:11:01,120 --> 00:11:05,120 Speaker 1: mix of tech. They come up here, and as indigenous people, 208 00:11:05,240 --> 00:11:08,600 Speaker 1: they've had a lot more prejudice in Mexico. They don't 209 00:11:08,600 --> 00:11:11,160 Speaker 1: know English, and so they're much harder to assimilate. So 210 00:11:11,240 --> 00:11:15,160 Speaker 1: at that very moment when immigration changed, and we should 211 00:11:15,160 --> 00:11:18,000 Speaker 1: have been really doubled down on the melting pot. And 212 00:11:18,040 --> 00:11:20,920 Speaker 1: I tried for twenty one years at cal State, where 213 00:11:20,960 --> 00:11:23,960 Speaker 1: I had mostly Mexican American students. I tried to teach 214 00:11:24,000 --> 00:11:27,080 Speaker 1: them Greek and Latin, made sure they read French and German. 215 00:11:27,240 --> 00:11:30,080 Speaker 1: That got them into law schools, business schools. But it 216 00:11:30,120 --> 00:11:33,760 Speaker 1: wasn't easy. And what I'm getting at is when these 217 00:11:33,760 --> 00:11:36,920 Speaker 1: elites just throw open the borders and let people come 218 00:11:36,920 --> 00:11:40,240 Speaker 1: in here illegally with no English and no high school 219 00:11:40,240 --> 00:11:44,559 Speaker 1: diploma and not diverged. They're not coming from all over 220 00:11:44,600 --> 00:11:48,280 Speaker 1: the world but from just one region, then it's so 221 00:11:48,360 --> 00:11:52,440 Speaker 1: hard to integrate, assimilate, intermarry, immigrants, and they never suffer 222 00:11:52,559 --> 00:11:55,200 Speaker 1: the consequences of their own ideology because they have the 223 00:11:55,240 --> 00:11:57,920 Speaker 1: money and the influence to find a zip code or 224 00:11:57,920 --> 00:12:00,920 Speaker 1: a geography that insulates them. Who does it fall most 225 00:12:00,920 --> 00:12:03,960 Speaker 1: heavily on Mexican American people. If they came to my 226 00:12:04,000 --> 00:12:08,120 Speaker 1: hometown and talked to a fourth generation, their generation, somebody 227 00:12:08,120 --> 00:12:13,240 Speaker 1: of Mexican dissent, they would say, oh, Victory, it's hard 228 00:12:13,280 --> 00:12:14,959 Speaker 1: to have a p when we have all these people 229 00:12:15,000 --> 00:12:17,080 Speaker 1: coming in. And you know, these gang members attacked my 230 00:12:17,160 --> 00:12:20,079 Speaker 1: grandson because he doesn't speak Spanish, and I don't even 231 00:12:20,080 --> 00:12:22,280 Speaker 1: know who these people are. And when they get in 232 00:12:22,280 --> 00:12:24,400 Speaker 1: erect they leave the scene of the accident, or they've 233 00:12:24,400 --> 00:12:26,920 Speaker 1: got phony I d s. Or my wife is at 234 00:12:26,960 --> 00:12:30,200 Speaker 1: the state dialysis center and it used to be an hour. 235 00:12:30,320 --> 00:12:33,360 Speaker 1: Now they're waiting in line because all these immigrants don't 236 00:12:33,360 --> 00:12:36,800 Speaker 1: have any healthcare and they don't and and they're here 237 00:12:36,800 --> 00:12:40,640 Speaker 1: are legally excepted. So a lot of the opposition I 238 00:12:40,679 --> 00:12:43,520 Speaker 1: think to the illegal immigration comes from the people that 239 00:12:43,600 --> 00:12:47,960 Speaker 1: directly influences and but legal immigration, I think is a 240 00:12:47,960 --> 00:12:53,680 Speaker 1: wonderful thing. And uh a true diversity of thought and 241 00:12:54,120 --> 00:12:56,760 Speaker 1: different groups. And I grew up, you know, with an 242 00:12:57,160 --> 00:13:02,040 Speaker 1: Armenian neighbor, Greek American neighbor, a Japanese American, a Mexican 243 00:13:02,080 --> 00:13:04,800 Speaker 1: American neighbor, and where they all kidded each other about 244 00:13:04,800 --> 00:13:10,000 Speaker 1: their ethnic faults or shortcomings. Uh, they all judge these 245 00:13:10,000 --> 00:13:12,439 Speaker 1: each other on how well they farmed. It was incidental. 246 00:13:13,000 --> 00:13:15,800 Speaker 1: So I'm really worried maybe you are too, at least 247 00:13:15,840 --> 00:13:20,320 Speaker 1: about this Biden administration fixation on race, because I think 248 00:13:20,520 --> 00:13:24,360 Speaker 1: there's never been a multiracial democracy except ours that work 249 00:13:24,480 --> 00:13:28,120 Speaker 1: without you know, Soviet like coercion or the Ottoman coercion. 250 00:13:28,600 --> 00:13:31,680 Speaker 1: And when we look around the world today, India is example, 251 00:13:31,760 --> 00:13:33,720 Speaker 1: so is Brazil. I can't think of any others, and 252 00:13:33,720 --> 00:13:37,200 Speaker 1: they don't do a very good job. And so it's 253 00:13:37,360 --> 00:13:41,400 Speaker 1: we don't want to become the former Yugoslavia or Rwanda, Iraq. 254 00:13:42,040 --> 00:13:46,720 Speaker 1: And yet Biden seems intent on emphasizing differences in grievances 255 00:13:46,800 --> 00:13:50,839 Speaker 1: and victimizations rather than the melting pot assimilation and the 256 00:13:50,960 --> 00:13:53,200 Speaker 1: dream of Martin Luther King. But what do you think 257 00:13:53,240 --> 00:13:55,400 Speaker 1: is behind that? Because I've heard, you know, some of 258 00:13:55,440 --> 00:13:59,840 Speaker 1: the words to describe the by administration. We've heard you know, communism, Marxist, socialist, 259 00:14:00,160 --> 00:14:03,520 Speaker 1: they've sort of been used interchangeably to describe the administration. 260 00:14:04,080 --> 00:14:06,560 Speaker 1: You know, are those distinctions important? And then you know, 261 00:14:06,600 --> 00:14:10,000 Speaker 1: how would you label the Biden administration because I've heard 262 00:14:10,040 --> 00:14:13,040 Speaker 1: a lot about you know, basically, instead of class warfare 263 00:14:13,320 --> 00:14:16,319 Speaker 1: like the Marxist of the past, now it's racial divisions 264 00:14:16,320 --> 00:14:19,080 Speaker 1: that they're driving in a similar fashion. I think you 265 00:14:19,120 --> 00:14:22,560 Speaker 1: make a good point. I think there's two phenomena working 266 00:14:22,640 --> 00:14:26,040 Speaker 1: in tandem. One or the people around him that go 267 00:14:26,160 --> 00:14:30,000 Speaker 1: in and out of academia or the law or politics, 268 00:14:30,160 --> 00:14:32,240 Speaker 1: whoever has advising And I don't know if it's people 269 00:14:32,280 --> 00:14:35,280 Speaker 1: around Kamala Harris or the Obama's or chief of staff, 270 00:14:35,280 --> 00:14:40,160 Speaker 1: but they are influenced by this neo Marxist idea that 271 00:14:40,560 --> 00:14:44,280 Speaker 1: there's a permanently oppressed class. But that has never worked, 272 00:14:44,920 --> 00:14:48,200 Speaker 1: that meaning revolution has never worked in this country because 273 00:14:48,240 --> 00:14:52,320 Speaker 1: of the successive market capitalism and upward mobility. So if 274 00:14:52,360 --> 00:14:54,360 Speaker 1: you start off as a truck driver, you end up, 275 00:14:54,840 --> 00:14:56,760 Speaker 1: you know, making pretty good money and you're not a 276 00:14:56,760 --> 00:15:00,320 Speaker 1: class victim. But so gram Skin others said, you know, 277 00:15:00,320 --> 00:15:03,240 Speaker 1: there is a cultural Marxism, social Marxism, and here they 278 00:15:03,320 --> 00:15:06,320 Speaker 1: fixed on race, and they said, you know what, if 279 00:15:06,360 --> 00:15:10,240 Speaker 1: we can prove that race is always oppressive and it 280 00:15:10,320 --> 00:15:12,920 Speaker 1: sticks with you for the rest of your life. Then 281 00:15:13,480 --> 00:15:17,080 Speaker 1: opens a victim. Jay z is a victim, Megan Markle's 282 00:15:17,120 --> 00:15:20,280 Speaker 1: a victim. The Obama's are a victim. They can be 283 00:15:20,320 --> 00:15:22,080 Speaker 1: worth a hundred million dollars, they can be the most 284 00:15:22,080 --> 00:15:25,000 Speaker 1: powerful couple in nine states, but because they're black, they're 285 00:15:25,080 --> 00:15:27,400 Speaker 1: always going to be a victim. And we know there's 286 00:15:27,400 --> 00:15:29,720 Speaker 1: too many victims for the number of victimizers, or we 287 00:15:29,720 --> 00:15:33,680 Speaker 1: wouldn't have these crazy things like the juicy Smalett of fiasco. 288 00:15:34,160 --> 00:15:37,720 Speaker 1: So they're trying to create a permanent victimhood and then 289 00:15:38,200 --> 00:15:41,760 Speaker 1: have a permanent class but this is a racial division, 290 00:15:41,880 --> 00:15:45,400 Speaker 1: and then be the defenders of the oppressed, and then 291 00:15:45,520 --> 00:15:50,080 Speaker 1: leverage the system for political gain and power. And then secondly, 292 00:15:50,160 --> 00:15:56,240 Speaker 1: very quickly, Joe Biden, remember his campaign was in nobody'd 293 00:15:56,240 --> 00:15:58,440 Speaker 1: ever done that before. He blamed the quarantine, but it 294 00:15:58,480 --> 00:16:01,720 Speaker 1: was really his age and inability to campaign in the 295 00:16:01,760 --> 00:16:06,320 Speaker 1: traditional fashion. His transition was inert and all he had 296 00:16:06,360 --> 00:16:10,960 Speaker 1: to his handlers had two points. Donald Trump is mean 297 00:16:11,080 --> 00:16:14,000 Speaker 1: and tweets and he's angry and we don't like him, 298 00:16:14,040 --> 00:16:16,520 Speaker 1: and he's a divider and I'm going to be old 299 00:16:16,560 --> 00:16:21,160 Speaker 1: Joe Biden from scrant and two. We're in a quarantine. 300 00:16:21,240 --> 00:16:23,200 Speaker 1: We've got to have a hundred million people vote, not 301 00:16:23,320 --> 00:16:25,280 Speaker 1: on election day. We need my male own valut we 302 00:16:25,320 --> 00:16:27,520 Speaker 1: need early about it. It's extensive crisis. We've got to 303 00:16:27,560 --> 00:16:32,200 Speaker 1: shut people down. And that started to fade during the 304 00:16:32,240 --> 00:16:35,840 Speaker 1: transition with Operation Work Speed. By the time he was 305 00:16:36,000 --> 00:16:38,800 Speaker 1: entering office, a million people a day were being vaccinated. 306 00:16:38,840 --> 00:16:43,440 Speaker 1: And now Donald Trump is irrelevant really because he can't 307 00:16:43,440 --> 00:16:47,080 Speaker 1: get on social media. He's been barred. He's he's very 308 00:16:47,080 --> 00:16:50,880 Speaker 1: important within the Republican conservative circles. But CNN's, as you know, 309 00:16:50,960 --> 00:16:54,840 Speaker 1: either there ratings or disastrous because they can't fixate on him. 310 00:16:54,880 --> 00:16:59,120 Speaker 1: So Biden lost that, and he lost the uh COVID 311 00:16:59,360 --> 00:17:02,320 Speaker 1: quarantine recession, all that stuff to blame mont Trump. So 312 00:17:02,400 --> 00:17:05,160 Speaker 1: what was he left with? Now people are looking at 313 00:17:05,240 --> 00:17:07,200 Speaker 1: what he's done in the first hundred and forty days 314 00:17:07,200 --> 00:17:10,119 Speaker 1: and it's not pretty. The Middle East he's screwed up. 315 00:17:10,160 --> 00:17:12,320 Speaker 1: He could have left it alone, but it's a mess. 316 00:17:12,480 --> 00:17:15,959 Speaker 1: The border is a mess. Gasoline prices and energy development 317 00:17:16,000 --> 00:17:20,800 Speaker 1: are mess. Critical race theory and racial relations are mess. 318 00:17:20,880 --> 00:17:24,240 Speaker 1: And looks like we were bound to have a natural 319 00:17:24,280 --> 00:17:27,159 Speaker 1: recovery with plenty of prior stimulus, but getting up the 320 00:17:27,160 --> 00:17:30,760 Speaker 1: thirty trillion dollars at national debt and a lot of 321 00:17:30,800 --> 00:17:33,919 Speaker 1: stimuli and paying people not to work while you hector 322 00:17:34,400 --> 00:17:37,359 Speaker 1: and the productive class means we've got too many dollars 323 00:17:37,440 --> 00:17:40,840 Speaker 1: chasing too few products. And so he did all of 324 00:17:40,840 --> 00:17:42,639 Speaker 1: that and none of those things he's done. If you 325 00:17:42,640 --> 00:17:45,840 Speaker 1: look at the poles pole. So it's a race war. 326 00:17:45,920 --> 00:17:48,640 Speaker 1: It's this, it's that, it's that he's got to find 327 00:17:48,720 --> 00:17:52,000 Speaker 1: some bogey matt fascinating point, professor. We have to take 328 00:17:52,000 --> 00:17:59,840 Speaker 1: a quick break back on the other side, and we 329 00:18:00,119 --> 00:18:03,119 Speaker 1: created this massive welfare state over the past year due 330 00:18:03,160 --> 00:18:07,120 Speaker 1: to government lockdowns and the amount of enhance unemployment that's 331 00:18:07,119 --> 00:18:09,720 Speaker 1: being build out as well. You know, what impact do 332 00:18:09,760 --> 00:18:12,359 Speaker 1: you think that has in the country both culturally and 333 00:18:12,400 --> 00:18:15,120 Speaker 1: then also economically moving forward. You know, that's a really 334 00:18:15,119 --> 00:18:19,240 Speaker 1: good point when you you emphasize culturally, when we just say, 335 00:18:19,359 --> 00:18:23,199 Speaker 1: you know, it's well, if you're getting fours here and 336 00:18:23,280 --> 00:18:25,800 Speaker 1: eight hundred dollars there, there's no incentific go back and 337 00:18:25,920 --> 00:18:28,960 Speaker 1: work and lose it. And that was always supposedly a 338 00:18:29,040 --> 00:18:31,399 Speaker 1: right wing talking point, but it's absolutely true when you 339 00:18:31,440 --> 00:18:33,920 Speaker 1: see it, and I can see it in a small 340 00:18:33,960 --> 00:18:36,680 Speaker 1: town where you've talked to employers. I'm not talking about 341 00:18:36,720 --> 00:18:40,280 Speaker 1: corporate employer. I'm talking about small business employers that cannot 342 00:18:40,280 --> 00:18:44,400 Speaker 1: find workers, at least regular workers. They can find people 343 00:18:44,440 --> 00:18:46,240 Speaker 1: who will come in three or four hours a week 344 00:18:46,480 --> 00:18:49,080 Speaker 1: and get cash off the book so they can continue 345 00:18:49,119 --> 00:18:52,840 Speaker 1: to get supplements, or they can find are they themselves 346 00:18:52,960 --> 00:18:55,280 Speaker 1: then play the game and they'll say, you know, I 347 00:18:55,400 --> 00:18:57,680 Speaker 1: lost all of this money because of the dislocation, and 348 00:18:57,720 --> 00:19:01,280 Speaker 1: they didn't in some cases. So we've created sort of 349 00:19:01,320 --> 00:19:04,600 Speaker 1: a massive shared industry that we're all looking back at 350 00:19:04,640 --> 00:19:10,040 Speaker 1: the last fourteen months and saying we we were victimized. 351 00:19:10,080 --> 00:19:12,840 Speaker 1: I had a corporate guy called me this week and 352 00:19:12,920 --> 00:19:15,080 Speaker 1: I think it's net worth is five million. I don't 353 00:19:15,080 --> 00:19:16,840 Speaker 1: want to talk too much about him, so the I R. 354 00:19:16,920 --> 00:19:18,680 Speaker 1: S doesn't go somebody doesn't go after But he said, 355 00:19:18,680 --> 00:19:21,120 Speaker 1: I gotta STI I got a stimulus check. And then 356 00:19:21,440 --> 00:19:23,560 Speaker 1: my son, who is a teacher, he said to me, 357 00:19:24,080 --> 00:19:26,879 Speaker 1: we didn't ask for it, a stimulus check, king, what 358 00:19:26,920 --> 00:19:28,520 Speaker 1: do I do with I said, put it in the bank, 359 00:19:28,920 --> 00:19:32,119 Speaker 1: and they said, well, I'm I'm supposed to stimulate the economy. 360 00:19:32,359 --> 00:19:34,280 Speaker 1: Am I I said, well, what do you need? He said, 361 00:19:34,280 --> 00:19:36,960 Speaker 1: I don't really need anything. We live very frugally, but 362 00:19:37,160 --> 00:19:40,200 Speaker 1: so culturally, we're creating this idea that the government is 363 00:19:40,200 --> 00:19:43,760 Speaker 1: in life of Julia Panjama Boy. Fashion is going to 364 00:19:43,840 --> 00:19:46,639 Speaker 1: always be there, and we're doing it by printing money. 365 00:19:46,640 --> 00:19:49,000 Speaker 1: And remember what Obama said the other day. Obama said 366 00:19:49,720 --> 00:19:52,280 Speaker 1: he came out of retirement as his want now to 367 00:19:52,359 --> 00:19:56,320 Speaker 1: make these pontifications. He said, well, you know, we've learned 368 00:19:56,320 --> 00:19:58,080 Speaker 1: that we don't have to fixate on a thirty trillion 369 00:19:58,160 --> 00:19:59,880 Speaker 1: dollar dead. We have a new way of thinking about 370 00:19:59,880 --> 00:20:02,320 Speaker 1: it economics, i e. We don't have to pay this 371 00:20:02,400 --> 00:20:05,159 Speaker 1: money back that maybe will inflate the currency, it might 372 00:20:05,240 --> 00:20:08,720 Speaker 1: hurt wealthy people might not that we're not gonna fixate 373 00:20:08,800 --> 00:20:11,800 Speaker 1: on it. And so it's been very delectarious. And then 374 00:20:11,840 --> 00:20:15,400 Speaker 1: the other thing, of course, in strictly economic terms, when 375 00:20:15,440 --> 00:20:20,480 Speaker 1: you coop up million people for fourteen months and you 376 00:20:20,600 --> 00:20:24,600 Speaker 1: let them out and they're being let out now, it's crazy. Uh, 377 00:20:24,920 --> 00:20:28,520 Speaker 1: you can't buy lumber, you can't buy a truck. I 378 00:20:28,520 --> 00:20:31,120 Speaker 1: bought a new truck and I could not believe it. 379 00:20:31,440 --> 00:20:34,160 Speaker 1: I went to this Dodge Ram place, and I mean 380 00:20:34,640 --> 00:20:37,040 Speaker 1: they were selling four or five six rams a day, 381 00:20:37,040 --> 00:20:38,920 Speaker 1: and not not in middle level of kind I bought, 382 00:20:38,960 --> 00:20:42,280 Speaker 1: I mean luxury luxury ram pick up sixty seventy eight 383 00:20:42,800 --> 00:20:47,199 Speaker 1: dollars and no down payment, zero interests incentives. They stopped 384 00:20:47,240 --> 00:20:49,879 Speaker 1: that now, But my gosh. And then people call you 385 00:20:49,960 --> 00:20:51,680 Speaker 1: up and say, you just bought a truck, will buy 386 00:20:51,680 --> 00:20:53,320 Speaker 1: it back for you for what you paid for it. 387 00:20:53,400 --> 00:20:57,240 Speaker 1: We're short at our used card lot. So why is 388 00:20:57,280 --> 00:21:01,320 Speaker 1: that happening? Because when when you create and print all 389 00:21:01,359 --> 00:21:04,800 Speaker 1: of this money and you let people out, and yet 390 00:21:04,840 --> 00:21:07,800 Speaker 1: you discourage them to be productive and to produce goods 391 00:21:07,800 --> 00:21:10,919 Speaker 1: and services, and you tell the employer, hey, guess what, 392 00:21:11,240 --> 00:21:14,399 Speaker 1: as soon as we can, your corporate taxes are going up, 393 00:21:14,440 --> 00:21:16,720 Speaker 1: your capital gains taxes are going up, your personal income 394 00:21:16,760 --> 00:21:19,640 Speaker 1: taxes are going up, your state taxes are going by 395 00:21:19,640 --> 00:21:22,320 Speaker 1: the way, we're gonna shut down this pipeline shut down, 396 00:21:22,359 --> 00:21:25,480 Speaker 1: and MORSH shut down federal leasing, and your energy costs 397 00:21:25,520 --> 00:21:28,200 Speaker 1: are gonna skyrocket. Well, and that a lot of people 398 00:21:28,240 --> 00:21:30,880 Speaker 1: get discouraged and they pull in their horns. And so 399 00:21:31,600 --> 00:21:35,520 Speaker 1: we did the worst possible thing with natural demand staring. 400 00:21:36,200 --> 00:21:39,240 Speaker 1: We artificially engineered a spike in it, and then we 401 00:21:39,800 --> 00:21:43,000 Speaker 1: deliberately or maybe accidentally, I don't know, depending on your 402 00:21:43,080 --> 00:21:47,560 Speaker 1: viewable Biden, we discourage production and the result is we're 403 00:21:47,600 --> 00:21:50,080 Speaker 1: going to get inflation of five to eight percent, I think, 404 00:21:50,560 --> 00:21:53,080 Speaker 1: or higher. And what you do when when you're an 405 00:21:53,119 --> 00:21:56,800 Speaker 1: investor and you've got your buying bank mortgages at two 406 00:21:56,880 --> 00:21:59,639 Speaker 1: point eight percent for thirty years and your currency is 407 00:21:59,680 --> 00:22:02,440 Speaker 1: going owned by five to seven percent, that's not gonna 408 00:22:02,520 --> 00:22:04,879 Speaker 1: last long. Well, personally, you know, I think it's with 409 00:22:04,960 --> 00:22:08,119 Speaker 1: intention because Democrats, you know, you mentioned Life of Julia campaign. 410 00:22:08,280 --> 00:22:10,359 Speaker 1: They want people to be dependent on the government from 411 00:22:10,400 --> 00:22:13,080 Speaker 1: cradle degree because it gives them control, it gives them votes. 412 00:22:13,359 --> 00:22:16,280 Speaker 1: That's you know, that's my personal opinion. But we're also seeing, sir, 413 00:22:16,400 --> 00:22:18,760 Speaker 1: you know, Americans, a lot of Americans making the decision 414 00:22:18,760 --> 00:22:21,040 Speaker 1: to not get vaccinated, which in my opinion, is their choice. 415 00:22:21,200 --> 00:22:23,200 Speaker 1: I'm young and healthy, why should I be forced to 416 00:22:23,200 --> 00:22:26,879 Speaker 1: get vaccinated? However, it's creating sort of this, you know, 417 00:22:26,960 --> 00:22:28,719 Speaker 1: some the people that are choosing not to be are 418 00:22:28,760 --> 00:22:32,520 Speaker 1: soletly being ostracized from society. It's almost like a new 419 00:22:32,520 --> 00:22:37,679 Speaker 1: class structure, the vaccinated versus the unvaccinated. Where does that head? Well, 420 00:22:37,960 --> 00:22:40,960 Speaker 1: the problem with that is that any time you take 421 00:22:41,000 --> 00:22:46,280 Speaker 1: a multi ethnic, multi racial, quite diverse population and you start, 422 00:22:46,359 --> 00:22:49,920 Speaker 1: for even noble reasons to make distinctions and to categorize 423 00:22:49,960 --> 00:22:54,320 Speaker 1: and labels and I D cards, then new set of precedent. 424 00:22:55,080 --> 00:22:57,640 Speaker 1: And when it's based on a lie. And so why 425 00:22:57,760 --> 00:23:00,400 Speaker 1: is the left doing that? The left is doing as 426 00:23:00,440 --> 00:23:02,800 Speaker 1: if you turn on the cable networks, they all say 427 00:23:02,880 --> 00:23:06,480 Speaker 1: white Republicans are not being vaccinated. These are the deplorable, 428 00:23:06,680 --> 00:23:09,640 Speaker 1: these are the q on, these are all the conspiracy freaks. 429 00:23:09,680 --> 00:23:13,000 Speaker 1: But then you look at the data and by ethnic group, 430 00:23:13,480 --> 00:23:17,560 Speaker 1: and Asians are getting vaccinated about their proportions and the 431 00:23:17,640 --> 00:23:22,199 Speaker 1: general population a little bit above. Uh so are white? 432 00:23:22,400 --> 00:23:24,520 Speaker 1: In fact, they're a little above. In fact, they've been 433 00:23:24,520 --> 00:23:28,760 Speaker 1: criticized for being privileged that more white people as a 434 00:23:28,800 --> 00:23:32,160 Speaker 1: percentage of the state's population are vaccinated than other people. 435 00:23:32,560 --> 00:23:36,000 Speaker 1: So who are not being vaccinated according to their proportional 436 00:23:36,440 --> 00:23:41,119 Speaker 1: representation in the demography. It's African Americans and their historical 437 00:23:41,600 --> 00:23:45,639 Speaker 1: legitimate reasons why perhaps, and Latinos. So then we have this, 438 00:23:45,880 --> 00:23:48,640 Speaker 1: when you start playing with race, you get these paradoxes. 439 00:23:48,640 --> 00:23:50,640 Speaker 1: So we have all of these people a saying you've 440 00:23:50,640 --> 00:23:53,440 Speaker 1: got to get vaccinated, we're gonna punish you. And they're 441 00:23:53,480 --> 00:23:57,640 Speaker 1: also saying, but the underserved communities didn't get vaccinated. So 442 00:23:58,119 --> 00:23:59,959 Speaker 1: this is gonna be very interesting because are they going 443 00:24:00,080 --> 00:24:03,560 Speaker 1: that starts turning away uh, minorities when they want to 444 00:24:03,560 --> 00:24:05,200 Speaker 1: go to a movie or when they want to get 445 00:24:05,200 --> 00:24:07,760 Speaker 1: on a plane, they're gonna say, sorry, you weren't vaccinated 446 00:24:08,080 --> 00:24:11,800 Speaker 1: because those populations have a higher rate or higher distrust 447 00:24:11,880 --> 00:24:15,240 Speaker 1: of the vaccination or whatever particular exergies as you want, 448 00:24:15,400 --> 00:24:18,359 Speaker 1: than do the white majority that they think they think, 449 00:24:18,400 --> 00:24:21,520 Speaker 1: are they the kind of demagogue? Is the problem with 450 00:24:21,800 --> 00:24:25,000 Speaker 1: the population in general not being vaccinated? Such an interesting point, 451 00:24:25,000 --> 00:24:27,040 Speaker 1: and actually more people should be talking about that, So 452 00:24:27,080 --> 00:24:29,560 Speaker 1: I'm glad you mentioned that. That's a really brilliant point. 453 00:24:29,760 --> 00:24:32,000 Speaker 1: Let's take a quick commercial break and then we're back 454 00:24:32,080 --> 00:24:38,120 Speaker 1: with Professor Victor Davis Hanson. You know, to the earlier part, 455 00:24:38,200 --> 00:24:39,840 Speaker 1: like you're saying, they're trying to use it as a 456 00:24:39,840 --> 00:24:43,560 Speaker 1: way to sort of slander conservatives, to slander h Trump 457 00:24:43,560 --> 00:24:45,800 Speaker 1: supporters particularly, But we've seen this for a long time, 458 00:24:46,200 --> 00:24:49,360 Speaker 1: the dehumanization of Trump supporters to try to make them 459 00:24:49,440 --> 00:24:51,480 Speaker 1: less than you know, that's why the left, in my opinion, 460 00:24:51,880 --> 00:24:54,800 Speaker 1: calls an unborn child the clump of cells, because if 461 00:24:54,840 --> 00:24:57,640 Speaker 1: you do humanize something, it has lesser value. And they've 462 00:24:57,640 --> 00:24:59,480 Speaker 1: been trying to do that to Trump supporters, and we're 463 00:24:59,520 --> 00:25:02,280 Speaker 1: seeing even in with the January six event. Obviously it 464 00:25:02,359 --> 00:25:05,040 Speaker 1: was terrible what happened, but we have people like President 465 00:25:05,080 --> 00:25:08,000 Speaker 1: Biden saying it's the worst attack on our democracy since 466 00:25:08,040 --> 00:25:10,560 Speaker 1: the Civil War, which clearly it was not. No, that's 467 00:25:10,560 --> 00:25:13,600 Speaker 1: a complete historical eye. I mean nine eleven was much 468 00:25:13,720 --> 00:25:17,400 Speaker 1: more grievous. The Bonus March of nine two. They took 469 00:25:17,520 --> 00:25:21,560 Speaker 1: tanks out there and charged the crowd. Douglas McArthur did 470 00:25:21,640 --> 00:25:24,359 Speaker 1: with tanks, and they were out there for three months. 471 00:25:24,400 --> 00:25:28,639 Speaker 1: Twenty thousand people in continued protest. This summer, we had 472 00:25:28,640 --> 00:25:31,600 Speaker 1: a hundred and twenty days. Two billion dollars was to damage. 473 00:25:31,680 --> 00:25:38,280 Speaker 1: Thirty people dead, fourteen thousand people arrested. And and notice 474 00:25:38,359 --> 00:25:41,760 Speaker 1: what he also does. He does he says the intelligence 475 00:25:41,920 --> 00:25:46,280 Speaker 1: agencies say white supremacists. Well, that's only because of their definitions. 476 00:25:46,320 --> 00:25:48,920 Speaker 1: If you're Antifa or BLM and you try to burn 477 00:25:49,000 --> 00:25:53,800 Speaker 1: down a federal courthouse or police precincts, that is not terrorism. 478 00:25:53,880 --> 00:25:57,200 Speaker 1: If the January six is, they say, or if you 479 00:25:57,240 --> 00:26:00,359 Speaker 1: want to shoot Steve Scalise and take out three publican 480 00:26:00,960 --> 00:26:05,400 Speaker 1: leadership for James Hodgkinson, then that's death by suicide. That's 481 00:26:05,400 --> 00:26:08,560 Speaker 1: why you did it. Our major Hassan in two thousand 482 00:26:08,720 --> 00:26:12,560 Speaker 1: nine killed thirteen people, yelled allah akbar. Well, that was 483 00:26:12,600 --> 00:26:15,600 Speaker 1: workplace violent. So what the left does. They take all 484 00:26:15,640 --> 00:26:18,760 Speaker 1: of these incidents and then they arbitrarily, in fluid fashion, 485 00:26:18,800 --> 00:26:22,000 Speaker 1: determined this is a terrorist incident. This is a terrorist 486 00:26:22,080 --> 00:26:24,920 Speaker 1: And I'm talking about not just the political left. I'm 487 00:26:24,920 --> 00:26:29,320 Speaker 1: talking about the bureaucratic, institutionalized FBI left as well. And 488 00:26:29,359 --> 00:26:33,000 Speaker 1: so when Biden says this, and I don't know what 489 00:26:33,080 --> 00:26:35,480 Speaker 1: to say. He says he said the same thing about 490 00:26:35,520 --> 00:26:38,960 Speaker 1: anti Asian hate crimes when we know statistically about six 491 00:26:39,880 --> 00:26:42,879 Speaker 1: of them are committed by people who make up about 492 00:26:42,880 --> 00:26:46,480 Speaker 1: six percent of the population African American male. Or when 493 00:26:46,480 --> 00:26:49,920 Speaker 1: he said it about anti Semitic at Texas and Jewish 494 00:26:50,040 --> 00:26:52,639 Speaker 1: anti Jewish violence in Los Angeles and New York, we 495 00:26:52,720 --> 00:26:56,480 Speaker 1: knew who was doing that. It was almost overwhelmingly young 496 00:26:56,560 --> 00:27:00,160 Speaker 1: males of Middle Eastern descent. And yet you would think 497 00:27:00,240 --> 00:27:03,000 Speaker 1: that this was all created by Donald Trump using the 498 00:27:03,160 --> 00:27:07,920 Speaker 1: term Mouhan virus or going to Charlotte's five years ago. Well, 499 00:27:07,960 --> 00:27:09,680 Speaker 1: and of course that was a lie what they said 500 00:27:09,680 --> 00:27:12,560 Speaker 1: about you know what he said about Charlottesville. You know 501 00:27:12,600 --> 00:27:16,160 Speaker 1: that was a complete lie with the media pushed as well. Absolutely, 502 00:27:16,200 --> 00:27:18,639 Speaker 1: and we know that, yet they keep repeating. And he 503 00:27:18,680 --> 00:27:21,160 Speaker 1: said there were you know, bad people on good people 504 00:27:21,200 --> 00:27:23,080 Speaker 1: on both sides. And then he said, I'm not talking 505 00:27:23,119 --> 00:27:26,040 Speaker 1: about the plan and the Nazis and that, and that 506 00:27:26,160 --> 00:27:29,399 Speaker 1: was just completely left out. That that lie got a 507 00:27:29,400 --> 00:27:32,119 Speaker 1: lot of currency and residents because so many of the 508 00:27:32,160 --> 00:27:37,000 Speaker 1: never Trumpers jumped on television and just said Charttesville, Chartesville, Charttesville. 509 00:27:37,560 --> 00:27:39,920 Speaker 1: And then the left said, see, look at these never 510 00:27:40,000 --> 00:27:44,600 Speaker 1: trumpers as if they were they had any validity or currency. 511 00:27:44,720 --> 00:27:48,200 Speaker 1: But I'll just finish by saying, it's very dangerous when 512 00:27:48,240 --> 00:27:52,640 Speaker 1: you in Pavlovy and fashion just reject everything because Trump's 513 00:27:52,720 --> 00:27:55,960 Speaker 1: or anybody's fingerprints. So a lot of people have died 514 00:27:56,440 --> 00:28:00,480 Speaker 1: because it was laughed at what Trump's at about the 515 00:28:00,480 --> 00:28:05,359 Speaker 1: Wuhan Virology Lab having a role in this engineered gain 516 00:28:05,400 --> 00:28:08,920 Speaker 1: and function virus, and we lost three or four months 517 00:28:08,960 --> 00:28:11,440 Speaker 1: knowing what was going on. A lot of people died, 518 00:28:12,520 --> 00:28:15,159 Speaker 1: as we know from recent research at the hydrox of 519 00:28:15,240 --> 00:28:17,840 Speaker 1: cloroquine and iber methine. While they're not cure all, they 520 00:28:17,840 --> 00:28:21,879 Speaker 1: had efficacy in the early stages. That's demonstrably true. And 521 00:28:21,960 --> 00:28:27,159 Speaker 1: yet because Trump said that they were completely blacklisted or shunned, 522 00:28:27,200 --> 00:28:30,040 Speaker 1: that that route and a lot of people are sitting 523 00:28:30,080 --> 00:28:34,840 Speaker 1: in jail, in some cases solitary infinement because of this 524 00:28:35,119 --> 00:28:38,760 Speaker 1: lie that U On January six, there was an armed 525 00:28:38,800 --> 00:28:42,280 Speaker 1: insurrection with people. Not one of them was found with weapons, 526 00:28:42,880 --> 00:28:45,959 Speaker 1: and there were no architects that had sophisticated planned at 527 00:28:46,040 --> 00:28:49,080 Speaker 1: stage a coup, and the officer sick Nick was not 528 00:28:49,320 --> 00:28:52,240 Speaker 1: violently killed. He died a day layer of natural causes, 529 00:28:52,320 --> 00:28:55,280 Speaker 1: a stroke according to the autopsy. And there were not 530 00:28:55,400 --> 00:28:57,960 Speaker 1: ties bought in by people trying to tie up and 531 00:28:58,040 --> 00:29:01,600 Speaker 1: kidnap people. Those were police tie and I could go on. 532 00:29:01,760 --> 00:29:04,880 Speaker 1: The only person who died violently was a fourteen year 533 00:29:05,080 --> 00:29:08,719 Speaker 1: military vettman who was shot while in ouring coloniously maybe 534 00:29:09,000 --> 00:29:11,960 Speaker 1: the capital, and she was shot by an officer who 535 00:29:12,040 --> 00:29:15,200 Speaker 1: mysteriously to this day has not had his or her 536 00:29:15,320 --> 00:29:19,160 Speaker 1: name or gender are race identified. Yet that's our want 537 00:29:19,200 --> 00:29:22,200 Speaker 1: again to do so in every case an urn armed 538 00:29:22,640 --> 00:29:25,120 Speaker 1: suspect being shot by and killed by a police, so 539 00:29:26,240 --> 00:29:28,680 Speaker 1: we live in an empire of I don't know, delusion 540 00:29:28,800 --> 00:29:31,720 Speaker 1: and lies, and it's very It has a lot of 541 00:29:31,760 --> 00:29:36,600 Speaker 1: scary ramification, deadly ramification. Professor I, I could talk to 542 00:29:36,640 --> 00:29:38,560 Speaker 1: you for hours. I know that you are a busy 543 00:29:38,600 --> 00:29:40,640 Speaker 1: man and you're on a tight schedule. I thank you 544 00:29:40,720 --> 00:29:42,440 Speaker 1: so much for the time that you've spent on the 545 00:29:42,440 --> 00:29:44,800 Speaker 1: truth with Lisa Booth. It's an honor to speak with you. 546 00:29:45,200 --> 00:29:51,680 Speaker 1: Thank you for having me. Lesa enjoyed it. I want 547 00:29:51,720 --> 00:29:54,920 Speaker 1: to thank Professor Victor Davis Hansen for his insight today. 548 00:29:54,960 --> 00:29:56,960 Speaker 1: The man is always brilliant, and I want to thank 549 00:29:57,000 --> 00:29:59,760 Speaker 1: you guys at home for listening. If you enjoy today's show, 550 00:30:00,000 --> 00:30:02,280 Speaker 1: easy leave us a review and rate us five stars 551 00:30:02,280 --> 00:30:04,880 Speaker 1: on Apple Podcast. You can also find me on Twitter 552 00:30:04,920 --> 00:30:08,960 Speaker 1: and Instagram at Lisa Rebooth. Special thanks to our producer 553 00:30:09,080 --> 00:30:13,160 Speaker 1: John Cassio, writer Aaron Kleigman, researcher Margaret Smith, and our 554 00:30:13,200 --> 00:30:17,000 Speaker 1: executive producers Debbie Myers and speaker new Ingridge, all part 555 00:30:17,040 --> 00:30:18,640 Speaker 1: of the Gingridge three sixty Network.