1 00:00:00,360 --> 00:00:03,960 Speaker 1: This is the Buck Sexton Show podcast. Join the conversation 2 00:00:04,120 --> 00:00:08,280 Speaker 1: and message Buck on Facebook, Instagram, or email Team Bucket 3 00:00:08,400 --> 00:00:11,280 Speaker 1: iHeartMedia dot com. He may read it on the show. 4 00:00:12,119 --> 00:00:15,280 Speaker 1: I've told you all along you cannot trust these bureaucracies. 5 00:00:15,360 --> 00:00:19,000 Speaker 1: You cannot trust institutions in this country anymore because so 6 00:00:19,040 --> 00:00:22,600 Speaker 1: many of them have been overtaken by left wing idealogues. 7 00:00:23,200 --> 00:00:25,959 Speaker 1: That's the case when you talk about the news media 8 00:00:26,040 --> 00:00:28,960 Speaker 1: has been for a long time. It's also now very 9 00:00:29,040 --> 00:00:31,840 Speaker 1: apparent when you look at the major bureaucracies out there, 10 00:00:31,920 --> 00:00:35,599 Speaker 1: you look at what's going on with institutions like the 11 00:00:35,720 --> 00:00:40,760 Speaker 1: CDC right, So it's gone beyond just the private sector wokeness. 12 00:00:40,800 --> 00:00:44,839 Speaker 1: It's gone beyond college campuses and universities that have Marxist 13 00:00:44,880 --> 00:00:49,960 Speaker 1: running all over the place. Now what should be nonpartisan 14 00:00:50,040 --> 00:00:55,960 Speaker 1: government federal government institutions are provinces of the left effectively 15 00:00:56,120 --> 00:00:59,200 Speaker 1: and are working for progressive and woke ideology in whatever 16 00:00:59,240 --> 00:01:02,520 Speaker 1: way they can. This is a major challenge. This is 17 00:01:02,560 --> 00:01:05,240 Speaker 1: a threat to our freedoms and liberty. It's when we 18 00:01:05,240 --> 00:01:08,160 Speaker 1: have to take very seriously. But you also have to 19 00:01:08,200 --> 00:01:11,200 Speaker 1: focus on what's going on online these days, and as 20 00:01:11,240 --> 00:01:14,160 Speaker 1: you know, the internet never forgets. And there's never been 21 00:01:14,160 --> 00:01:17,119 Speaker 1: a more important time to protect your Internet activity than 22 00:01:17,280 --> 00:01:21,080 Speaker 1: right now, given all the politicization and all the ways 23 00:01:21,080 --> 00:01:24,399 Speaker 1: that big tech are punishing people. That's why I urge 24 00:01:24,400 --> 00:01:28,000 Speaker 1: you to get Express VPN. Everything you search for, a watch, 25 00:01:28,080 --> 00:01:30,800 Speaker 1: or click online can be tracked by big tech companies. 26 00:01:31,120 --> 00:01:33,640 Speaker 1: They can match your activity to your true identity using 27 00:01:33,640 --> 00:01:37,920 Speaker 1: your devices unique IP address. When I switch on Express VPN, 28 00:01:38,120 --> 00:01:41,320 Speaker 1: my computer, my phone, whatever it is I'm using has 29 00:01:41,360 --> 00:01:44,840 Speaker 1: a masked IP address. Makes it a lot harder for 30 00:01:44,880 --> 00:01:48,200 Speaker 1: websites to identify me. Use Express VPN and up to 31 00:01:48,240 --> 00:01:51,520 Speaker 1: five devices simultaneously. It's so easy to use. You download 32 00:01:51,560 --> 00:01:53,520 Speaker 1: the app, you'll have it set up in a minute. 33 00:01:54,200 --> 00:01:56,680 Speaker 1: Stop handing over your data to big tech companies. Go 34 00:01:56,760 --> 00:02:00,200 Speaker 1: with the VPN I trust for online protection. Is it 35 00:02:00,320 --> 00:02:03,919 Speaker 1: Express vpn dot com slash buck to get three months 36 00:02:03,920 --> 00:02:08,120 Speaker 1: free on a one year package. That's Express vpn dot 37 00:02:08,120 --> 00:02:11,520 Speaker 1: com slash buck to get three extra months free Express 38 00:02:12,080 --> 00:02:15,640 Speaker 1: vpn dot com slash buck right now to learn more. 39 00:02:16,120 --> 00:02:18,960 Speaker 1: I've been warning you all along that the CDC was 40 00:02:19,000 --> 00:02:22,200 Speaker 1: going to get addicted to all the power and influence 41 00:02:22,240 --> 00:02:25,080 Speaker 1: that it's had. This is an institution, This is an 42 00:02:25,160 --> 00:02:30,520 Speaker 1: organization of the federal government that has been largely resigned 43 00:02:30,600 --> 00:02:35,240 Speaker 1: to putting out flu advisory notices. You know, once in 44 00:02:35,240 --> 00:02:38,720 Speaker 1: a while, they'll they'll be an ebola scare, or they'll 45 00:02:38,760 --> 00:02:42,560 Speaker 1: be a haunt of virus outbreak somewhere, and they'll they'll 46 00:02:42,560 --> 00:02:45,639 Speaker 1: call someone of the CDC for comment on the news. 47 00:02:45,639 --> 00:02:49,320 Speaker 1: But generally speaking, the CDC was something that you mostly 48 00:02:49,400 --> 00:02:53,560 Speaker 1: knew about because in zombie apocalypse movies or in some 49 00:02:54,560 --> 00:02:58,519 Speaker 1: you know, some some sci fi thriller, the CDC would 50 00:02:58,560 --> 00:03:02,200 Speaker 1: make an appearance right the show The Strain, for example, 51 00:03:02,200 --> 00:03:05,160 Speaker 1: and the hero as a CDC scientist. It's actually a 52 00:03:05,160 --> 00:03:06,800 Speaker 1: good show. I think it holds up pretty well for 53 00:03:06,800 --> 00:03:10,079 Speaker 1: what it is. But now we see that, just like 54 00:03:10,120 --> 00:03:15,280 Speaker 1: all the other federal bureaucracies, the CDC is involved in 55 00:03:15,720 --> 00:03:21,600 Speaker 1: not just partisan politics, but in progressive politics, in Marxist 56 00:03:21,720 --> 00:03:26,079 Speaker 1: identity politics, and it doesn't want to step away. As 57 00:03:26,120 --> 00:03:30,680 Speaker 1: the COVID pandemic slowly fades, it's going to be a long, 58 00:03:31,480 --> 00:03:37,040 Speaker 1: painful extrication from the overlords that we have now at 59 00:03:37,080 --> 00:03:40,000 Speaker 1: the CDC telling us what we can do, where we 60 00:03:40,000 --> 00:03:43,680 Speaker 1: can shop, whether we can go and breathe fresh air 61 00:03:43,720 --> 00:03:47,960 Speaker 1: outside without some smelly rag across our face. Right, that's 62 00:03:48,360 --> 00:03:50,360 Speaker 1: not going to be an easy process in and of itself, 63 00:03:50,360 --> 00:03:54,800 Speaker 1: But the CDC wants to be involved in the national conversation. 64 00:03:54,800 --> 00:03:57,120 Speaker 1: That's why they have Rachelle will Lenski is the director. Now, 65 00:03:57,160 --> 00:04:00,280 Speaker 1: this is somebody who is a progressive and a left 66 00:04:00,680 --> 00:04:04,840 Speaker 1: I mean she is, I assure you, entirely in line 67 00:04:05,440 --> 00:04:10,040 Speaker 1: with all of the political positions of a prime time 68 00:04:10,240 --> 00:04:15,080 Speaker 1: MSNBC host. And if you were to sit down, Robin 69 00:04:15,120 --> 00:04:17,960 Speaker 1: will Lenski of the CDC, I'm sorry, Rochelle will Lenski 70 00:04:18,000 --> 00:04:23,400 Speaker 1: of the CDC is somebody who would believe and of 71 00:04:23,400 --> 00:04:25,799 Speaker 1: course a woman's right to choose, meaning terminate a pregnancy 72 00:04:25,920 --> 00:04:29,040 Speaker 1: for all nine months. She believes, I'm sure in all 73 00:04:29,120 --> 00:04:32,960 Speaker 1: of the whole panoply of transgender rights, even the ones 74 00:04:32,960 --> 00:04:35,200 Speaker 1: that are being created as I'm still sitting here speaking 75 00:04:35,240 --> 00:04:37,880 Speaker 1: to you, I'm sure she believes in giving puberty blocking 76 00:04:37,960 --> 00:04:40,240 Speaker 1: drugs to ten year olds who think that they're a 77 00:04:40,279 --> 00:04:42,760 Speaker 1: different gender than they are. Whatever it may be, find 78 00:04:42,800 --> 00:04:45,279 Speaker 1: a left wing issue, and the head of the CDC, 79 00:04:45,480 --> 00:04:47,640 Speaker 1: and I'm sure all the people around her too, because 80 00:04:47,640 --> 00:04:51,320 Speaker 1: these are science bureaucrats. Who do you think goes to 81 00:04:51,360 --> 00:04:53,440 Speaker 1: work for the CDC, people that are really going to 82 00:04:53,520 --> 00:04:56,479 Speaker 1: cure cancer, or people who want to be working in 83 00:04:56,520 --> 00:05:00,920 Speaker 1: the government. You went to med school for four years 84 00:05:00,920 --> 00:05:03,200 Speaker 1: and then did your residency, or you have a PhD 85 00:05:03,320 --> 00:05:05,120 Speaker 1: in microbiology and you want to go work at this 86 00:05:05,400 --> 00:05:08,000 Speaker 1: at the CDC so you can do what exactly if 87 00:05:08,000 --> 00:05:10,520 Speaker 1: you're really good generally speaking, aren't you going to go 88 00:05:10,560 --> 00:05:13,359 Speaker 1: to big pharma. Aren't you gonna actually work at a 89 00:05:13,360 --> 00:05:15,520 Speaker 1: place where they're coming up with new drugs that save 90 00:05:15,560 --> 00:05:18,360 Speaker 1: people's lives, sup pointing the South folks as we all 91 00:05:18,360 --> 00:05:23,240 Speaker 1: sit around worshiping Saint fauci As that this guy knows anything. 92 00:05:25,200 --> 00:05:28,680 Speaker 1: But here they are weighing in today, we're still in 93 00:05:28,720 --> 00:05:31,440 Speaker 1: the midst of this COVID pandemic. It's fading out, but 94 00:05:31,520 --> 00:05:34,440 Speaker 1: there are a lot of cases still, and people are 95 00:05:34,520 --> 00:05:37,840 Speaker 1: dying every day, and you've had a real spike in 96 00:05:37,920 --> 00:05:40,200 Speaker 1: cases in places like New York in Michigan, which we'll 97 00:05:40,200 --> 00:05:45,640 Speaker 1: talk about more later. Yet they're immediately shifting focus because 98 00:05:45,640 --> 00:05:48,960 Speaker 1: they don't want to lose the ability to be front 99 00:05:48,960 --> 00:05:52,320 Speaker 1: and center in the public conversation. They're shifting focus here 100 00:05:52,400 --> 00:06:01,040 Speaker 1: to racism as an urgent public health threat. Now, there 101 00:06:01,080 --> 00:06:04,280 Speaker 1: are a lot of ways that we could tackle this conversation. 102 00:06:04,320 --> 00:06:06,640 Speaker 1: You can get into this, but let me just give 103 00:06:06,640 --> 00:06:10,600 Speaker 1: you a sense of This is the statement from Rachelle Wilenski, MDMPH, 104 00:06:11,279 --> 00:06:14,520 Speaker 1: director of the Centers for Disease Control and Prevention. Here's 105 00:06:14,520 --> 00:06:17,320 Speaker 1: what she writes. The COVID nineteen pandemic has resulted in 106 00:06:17,360 --> 00:06:20,440 Speaker 1: the depth of over five hundred thousand Americans. Tens of 107 00:06:20,480 --> 00:06:24,680 Speaker 1: millions have been infected, and across the country people are suffering. Importantly, 108 00:06:24,720 --> 00:06:29,839 Speaker 1: these painful, etc. Etc. Okay, the disparities seen over the 109 00:06:29,880 --> 00:06:33,719 Speaker 1: past year were not a result of COVID nineteen. Instead, 110 00:06:33,760 --> 00:06:38,760 Speaker 1: the pandemic illuminated inequities that have existed for generations and 111 00:06:38,880 --> 00:06:43,479 Speaker 1: revealed for all of America, unknown but often unaddressed epidemic 112 00:06:43,680 --> 00:06:51,480 Speaker 1: affecting impacting public health racism. Wow, the real public health epidemic, 113 00:06:51,520 --> 00:06:53,480 Speaker 1: I guess is in COVID, the one that we're gonna 114 00:06:53,480 --> 00:06:57,480 Speaker 1: have to struggle with for generations. The real public health 115 00:06:57,600 --> 00:07:02,520 Speaker 1: epidemic is racism. Think about this, How is racism a 116 00:07:02,560 --> 00:07:07,160 Speaker 1: public health epidemic? Where can we can we isolate racism 117 00:07:07,160 --> 00:07:10,960 Speaker 1: in a Petrie dish? Can we actually do a test 118 00:07:11,080 --> 00:07:14,760 Speaker 1: for you? Know, antibiotic resistance when it comes to racism, 119 00:07:14,800 --> 00:07:17,880 Speaker 1: and what are we really talking about here. No, this 120 00:07:18,160 --> 00:07:22,920 Speaker 1: is the transference of a supposed institution of science which 121 00:07:22,960 --> 00:07:26,400 Speaker 1: is really just a massive government bureaucracy that's a tremendous 122 00:07:26,400 --> 00:07:30,200 Speaker 1: amount of sloth, waste, and abuse, and it's been catastrophically 123 00:07:30,360 --> 00:07:33,200 Speaker 1: inept during the COVID pandemic. Let's remind ourselves of that. 124 00:07:33,600 --> 00:07:36,600 Speaker 1: Remember when in the early days messed up all the testing, 125 00:07:37,360 --> 00:07:39,800 Speaker 1: The CDC messed up the testing. And also, who is 126 00:07:39,840 --> 00:07:42,480 Speaker 1: telling you at the beginning, guys, testing for this disease 127 00:07:43,000 --> 00:07:45,680 Speaker 1: is just one of a hundred steps to try to 128 00:07:45,720 --> 00:07:47,600 Speaker 1: deal with this. But there was such a focus on 129 00:07:47,640 --> 00:07:49,720 Speaker 1: it because it was it turned into it was Trump's 130 00:07:49,760 --> 00:07:52,640 Speaker 1: fault that the tests in the early days weren't coming 131 00:07:52,680 --> 00:07:54,360 Speaker 1: out and the numbers that they needed them to, meaning 132 00:07:54,400 --> 00:07:58,760 Speaker 1: they weren't producing enough of these tests. Anyway, the CDC 133 00:07:59,000 --> 00:08:03,480 Speaker 1: has been an abject failure. They were they didn't have 134 00:08:03,520 --> 00:08:08,520 Speaker 1: the backbone, the institutional backbone to say, sorry, lazy teachers, unions, 135 00:08:08,560 --> 00:08:14,280 Speaker 1: the schools should be open, all of them always. There 136 00:08:14,360 --> 00:08:17,600 Speaker 1: was no reason to shut down K through twelve education. Ever, 137 00:08:17,680 --> 00:08:20,320 Speaker 1: in this country, the data never supported it. It was 138 00:08:20,400 --> 00:08:24,320 Speaker 1: never reasonable. CDC too cowardly to do that, because did 139 00:08:24,400 --> 00:08:27,640 Speaker 1: you think that if you took a poll of CDC employees, 140 00:08:27,840 --> 00:08:32,319 Speaker 1: what ninety five percent of them voted for Joe Biden. 141 00:08:33,320 --> 00:08:36,480 Speaker 1: That's what I would guess about ninety five percent. And 142 00:08:36,559 --> 00:08:39,000 Speaker 1: if you wonder where I get these statistics from, if 143 00:08:39,000 --> 00:08:43,000 Speaker 1: you look at the federal government and federal government bureaucrat 144 00:08:43,360 --> 00:08:47,840 Speaker 1: donations in the Hillary Trump campaign, guess what, over ninety 145 00:08:47,840 --> 00:08:51,040 Speaker 1: percent went to Hillary Clinton. So you've got a whole 146 00:08:51,080 --> 00:08:56,080 Speaker 1: bunch of CNN watching leftists working at the CDC, and 147 00:08:56,160 --> 00:08:58,880 Speaker 1: now they want to get in on the next big challenge, 148 00:08:59,600 --> 00:09:01,800 Speaker 1: race as a public health threat. And you know they 149 00:09:01,880 --> 00:09:08,559 Speaker 1: cite for they cite in this health data about life expectancy, 150 00:09:09,679 --> 00:09:15,720 Speaker 1: they cite that white Americans live longer than black, black, 151 00:09:15,720 --> 00:09:21,040 Speaker 1: and Hispanic Americans on average. And so this is racism. 152 00:09:21,040 --> 00:09:22,800 Speaker 1: It has to be racism, they say, Right, what's so 153 00:09:22,960 --> 00:09:25,680 Speaker 1: fascinating is do you think that white Americans have the 154 00:09:25,679 --> 00:09:28,320 Speaker 1: longest life expectancy because you know, white supremacy. When they 155 00:09:28,320 --> 00:09:31,720 Speaker 1: talk about racism, the only racism they're fighting against. It's 156 00:09:31,760 --> 00:09:35,040 Speaker 1: not Black on Asian racism, it's not Hispanic on black 157 00:09:35,160 --> 00:09:38,959 Speaker 1: racism or or anything else. It's white supremacy. We all 158 00:09:39,000 --> 00:09:41,920 Speaker 1: know that that's the only racism that concerns the left 159 00:09:41,920 --> 00:09:43,880 Speaker 1: in this country. There is no other racism as far 160 00:09:43,920 --> 00:09:47,760 Speaker 1: as they're concerned, even racism among other races. They will 161 00:09:47,800 --> 00:09:49,840 Speaker 1: tell you, and you know this is true, is the 162 00:09:49,880 --> 00:09:52,959 Speaker 1: result of white supremacy. So white people are the are 163 00:09:53,040 --> 00:09:55,640 Speaker 1: the reason for all racism all over the world in fact, 164 00:09:55,679 --> 00:09:59,200 Speaker 1: which is insane, but that's what the left believes. Somehow, 165 00:09:59,240 --> 00:10:04,880 Speaker 1: Asian American have a considerably higher life expectancy I believe 166 00:10:04,920 --> 00:10:09,760 Speaker 1: it's over eighty than white Americans do. Which is interesting, 167 00:10:09,800 --> 00:10:14,000 Speaker 1: isn't it, Because Asian Americans also have higher average household 168 00:10:14,040 --> 00:10:17,240 Speaker 1: income than white Americans do. But but the system of 169 00:10:17,240 --> 00:10:20,440 Speaker 1: white supremacy cannot be We can't say that this is 170 00:10:20,480 --> 00:10:23,480 Speaker 1: an exaggerated construct of the left. No, no, we all 171 00:10:23,520 --> 00:10:27,040 Speaker 1: have to bow before the terrors of the white supremacist 172 00:10:27,120 --> 00:10:32,120 Speaker 1: system that exists all over our country. Look, there's a 173 00:10:32,240 --> 00:10:37,840 Speaker 1: tremendous amount uh, there's a there's there's a tremendous amount 174 00:10:38,679 --> 00:10:42,880 Speaker 1: of misinformation out there about all of this. Right, there's 175 00:10:42,880 --> 00:10:47,280 Speaker 1: a tremendous amount of people who are sitting around saying, 176 00:10:48,280 --> 00:10:51,480 Speaker 1: hold on a second, maybe the CDC has actually got 177 00:10:51,520 --> 00:10:54,320 Speaker 1: this right, and they and they and then as I said, 178 00:10:54,400 --> 00:10:57,200 Speaker 1: they have to they have to bow down to this 179 00:10:57,280 --> 00:11:04,800 Speaker 1: notion that white supremacy is influencing all of our institutions. 180 00:11:04,840 --> 00:11:08,040 Speaker 1: It's it's in everything, it's everywhere, it's all over the place. 181 00:11:10,080 --> 00:11:12,079 Speaker 1: Maybe can we can we have a conversation as to 182 00:11:12,120 --> 00:11:16,199 Speaker 1: whether that's actually exaggerated and that's harmful and that separates 183 00:11:16,320 --> 00:11:21,079 Speaker 1: us and that that pulls us apart? Right? Can can 184 00:11:21,120 --> 00:11:24,080 Speaker 1: we have a conversation about that? Or were not allowed to? No, 185 00:11:24,320 --> 00:11:28,120 Speaker 1: we're just supposed to accept their premise. We're supposed to 186 00:11:28,120 --> 00:11:31,360 Speaker 1: accept their premise that even the health disparities from COVID 187 00:11:31,400 --> 00:11:35,480 Speaker 1: are a function of white supremacy and racism. Structure, structural racism, 188 00:11:35,480 --> 00:11:38,679 Speaker 1: white supremacy, these are the same things. They're used interchangeably now. 189 00:11:38,720 --> 00:11:41,320 Speaker 1: They didn't used to be white supremacy. Used to be 190 00:11:41,360 --> 00:11:44,840 Speaker 1: guys with you know, neo Nazi tattoos and shaved heads 191 00:11:44,840 --> 00:11:47,960 Speaker 1: who were you know, really bad people. Now white supremacy 192 00:11:48,000 --> 00:11:52,840 Speaker 1: as well. There's disparate representation in the you know, MIT 193 00:11:53,640 --> 00:11:57,240 Speaker 1: electrical engineering program among different ethnic groups, so that looks 194 00:11:57,240 --> 00:11:59,560 Speaker 1: like white supremacy to me. I mean, it's it's abused 195 00:12:00,120 --> 00:12:03,319 Speaker 1: all the time. It's abused all the time as a 196 00:12:03,559 --> 00:12:08,640 Speaker 1: as just a concept now to silence people. And then 197 00:12:08,679 --> 00:12:12,880 Speaker 1: that brings me to the CDC. I've been worried all 198 00:12:12,920 --> 00:12:18,440 Speaker 1: along that the left has seen something here. The left 199 00:12:18,520 --> 00:12:22,840 Speaker 1: has seen that if you can terrify people based upon 200 00:12:22,880 --> 00:12:25,520 Speaker 1: their health, or if you can go for something what's 201 00:12:25,559 --> 00:12:28,720 Speaker 1: really perhaps the most personal thing for all of us, 202 00:12:28,720 --> 00:12:31,600 Speaker 1: our health, our ability to enjoy our day to day lives, 203 00:12:31,600 --> 00:12:36,800 Speaker 1: and to stay alive, and this is a really effective 204 00:12:36,880 --> 00:12:40,880 Speaker 1: means of control. This is a really effective means of 205 00:12:40,920 --> 00:12:44,840 Speaker 1: getting people to do whatever you want them to do. 206 00:12:44,920 --> 00:12:48,480 Speaker 1: We've seen this during the pandemic. I've said, they're going 207 00:12:48,520 --> 00:12:51,040 Speaker 1: to go from the public health emergency to the climate 208 00:12:51,120 --> 00:12:56,240 Speaker 1: change emergency, They're going to go from the They're going 209 00:12:56,280 --> 00:12:59,000 Speaker 1: to go from the public health emergency to the gun 210 00:12:59,120 --> 00:13:01,880 Speaker 1: violence emergency, which they've already done. And in fact, as 211 00:13:01,920 --> 00:13:04,400 Speaker 1: you know, the CDC always wants to study gun violence 212 00:13:04,400 --> 00:13:07,240 Speaker 1: as that the CDC has a role in this, but 213 00:13:07,360 --> 00:13:10,120 Speaker 1: it's using a large federal bureaucracy under the guise of 214 00:13:10,240 --> 00:13:14,640 Speaker 1: health to control you. And they say that this is 215 00:13:14,679 --> 00:13:17,720 Speaker 1: now all about racism because then all these equity challenges 216 00:13:17,720 --> 00:13:21,559 Speaker 1: all across the country. It turns into listen to the science. 217 00:13:22,400 --> 00:13:28,800 Speaker 1: That's what they'll say, listen to the science. And as 218 00:13:28,840 --> 00:13:31,480 Speaker 1: we all know, that hasn't been true about their approach 219 00:13:31,520 --> 00:13:33,920 Speaker 1: to COVID, it's definitely not going to be true about 220 00:13:33,920 --> 00:13:36,960 Speaker 1: their approach to what they call now white supremacy, which 221 00:13:37,400 --> 00:13:40,160 Speaker 1: is it's almost hard, it's hard to define. It's whatever 222 00:13:40,200 --> 00:13:43,720 Speaker 1: the left decides it is, and now it's whatever the CDC, 223 00:13:43,840 --> 00:13:47,800 Speaker 1: the Centers for Disease Control decides it is. Perhaps we 224 00:13:47,840 --> 00:13:52,640 Speaker 1: should call it the Centers for Racism Control. Now you 225 00:13:52,760 --> 00:13:56,800 Speaker 1: got in this CDC statement put out by the director Wilenski, 226 00:13:57,240 --> 00:13:59,320 Speaker 1: very political obviously if she's going to get that job 227 00:13:59,320 --> 00:14:03,360 Speaker 1: in the bidenm and we will continue. Sorry, here you go. 228 00:14:03,400 --> 00:14:05,880 Speaker 1: As the nation's leading public health agency, CDC has a 229 00:14:05,880 --> 00:14:08,320 Speaker 1: critical role to play to address the impact of racism 230 00:14:08,320 --> 00:14:11,880 Speaker 1: on public health. To say that there's racism in public 231 00:14:11,920 --> 00:14:14,920 Speaker 1: health that they never will say who's committing the public 232 00:14:14,960 --> 00:14:18,439 Speaker 1: health racism. That's what I want to know. I want 233 00:14:18,440 --> 00:14:22,200 Speaker 1: to know who's actually doing the racism in public health. Now, 234 00:14:22,320 --> 00:14:25,240 Speaker 1: if they want to argue that there is an economic 235 00:14:25,360 --> 00:14:30,280 Speaker 1: disparity for health outcomes. That's absolutely true, and we should 236 00:14:30,320 --> 00:14:33,120 Speaker 1: look at how that happens, why that happens, where that is. 237 00:14:33,640 --> 00:14:36,120 Speaker 1: But if they're going to say that the racism requires 238 00:14:36,160 --> 00:14:40,840 Speaker 1: action by individuals, that is immoral. That's what racism has 239 00:14:40,840 --> 00:14:42,640 Speaker 1: to be premised on. That's what racism has to be 240 00:14:42,680 --> 00:14:47,320 Speaker 1: based on. So who's doing it? Are doctors not treating 241 00:14:47,320 --> 00:14:52,480 Speaker 1: minority patients because they're racist? Whose fault is it? If 242 00:14:52,720 --> 00:14:58,640 Speaker 1: one community drinks more sugary soda, for example, and more 243 00:14:58,720 --> 00:15:01,520 Speaker 1: foods that are likely to tribute to type two diabetes 244 00:15:01,640 --> 00:15:05,840 Speaker 1: than another, do all ethnic groups in this country actually 245 00:15:05,920 --> 00:15:08,320 Speaker 1: have the same risks from different diseases? And actually turns 246 00:15:08,360 --> 00:15:09,600 Speaker 1: out if you look at the numbers, there are some 247 00:15:09,640 --> 00:15:13,880 Speaker 1: diseases that all of the world disparately affect certain populations 248 00:15:13,880 --> 00:15:17,640 Speaker 1: based on ethnicity. That's just a genetic reality. Some people, 249 00:15:17,720 --> 00:15:23,400 Speaker 1: some groups, ethnic groups, national groups are more susceptible to 250 00:15:23,400 --> 00:15:25,400 Speaker 1: certain diseases. I mean, one that comes to mind is 251 00:15:25,520 --> 00:15:29,800 Speaker 1: sickle cell anemia, for example. So there actually are some 252 00:15:29,840 --> 00:15:32,600 Speaker 1: health disparities that are just there that aren't the result 253 00:15:33,040 --> 00:15:36,960 Speaker 1: of racism. It's worth noting that. But how do they 254 00:15:37,080 --> 00:15:39,160 Speaker 1: expect how's the CDC going to say that we should 255 00:15:39,160 --> 00:15:42,920 Speaker 1: tackle this. Well, you see an example of it in Vermont. 256 00:15:43,880 --> 00:15:47,480 Speaker 1: This is from Scientific American Vermont to give minority residence 257 00:15:47,920 --> 00:15:53,280 Speaker 1: priority for COVID vaccines. This was just just recently. States 258 00:15:53,280 --> 00:15:55,960 Speaker 1: have tribe with limited success to get vaccines to people 259 00:15:56,000 --> 00:15:59,480 Speaker 1: of color who have been disproportionately killed and hospitalized by 260 00:15:59,480 --> 00:16:04,880 Speaker 1: the virus. Starting Thursday, Vermont explicitly gave black adults and 261 00:16:04,960 --> 00:16:09,600 Speaker 1: people from other minority communities priority status for vaccinations. It 262 00:16:09,640 --> 00:16:13,160 Speaker 1: follows Montana, which in January announced that Native Americans other 263 00:16:13,160 --> 00:16:15,840 Speaker 1: people of color, because they're at higher risk of complications 264 00:16:15,840 --> 00:16:20,800 Speaker 1: from COVID nineteen, would be allowed to receive the vaccine. 265 00:16:21,560 --> 00:16:24,000 Speaker 1: All Black, Indigenous residents and other people of color who 266 00:16:24,040 --> 00:16:26,920 Speaker 1: are permanent Vermont residence and sixteen or older are eligible 267 00:16:26,960 --> 00:16:30,160 Speaker 1: for the vaccine. Okay, so we're actually now prioritizing people 268 00:16:30,600 --> 00:16:32,560 Speaker 1: for life saving for what we all understand as a 269 00:16:32,560 --> 00:16:36,760 Speaker 1: life saving vaccine based upon skin color. That is happening 270 00:16:36,760 --> 00:16:40,160 Speaker 1: in America today. You think that this is the beginning 271 00:16:40,200 --> 00:16:41,520 Speaker 1: of this, or you think that this is just a 272 00:16:41,560 --> 00:16:42,840 Speaker 1: one off. You think that they're going to do more 273 00:16:42,880 --> 00:16:45,240 Speaker 1: of this, or they're going to do less of this 274 00:16:45,720 --> 00:16:50,840 Speaker 1: going forward, Right, this. When I say this, I mean 275 00:16:51,960 --> 00:16:55,400 Speaker 1: using race as a means of making distinctions about health 276 00:16:55,400 --> 00:16:59,840 Speaker 1: that really matter, distinctions about public health authorities and states, 277 00:17:00,040 --> 00:17:03,720 Speaker 1: sources and ways that really matter. You know, what, would 278 00:17:03,720 --> 00:17:06,200 Speaker 1: it have been fair? I mean I had to help 279 00:17:06,240 --> 00:17:08,679 Speaker 1: my family members. I had to help my parents get vaccinated. 280 00:17:08,720 --> 00:17:11,200 Speaker 1: They're both seniors or my mom's close to being a senior. 281 00:17:12,680 --> 00:17:15,080 Speaker 1: I had to help them get appointments and figure out 282 00:17:15,119 --> 00:17:17,359 Speaker 1: and it was not easy for them at all. Would 283 00:17:17,359 --> 00:17:21,520 Speaker 1: I resent the idea that people who are younger than 284 00:17:21,560 --> 00:17:24,880 Speaker 1: my parents but are of a of a preferred by 285 00:17:24,880 --> 00:17:28,200 Speaker 1: the CDC racial category would go ahead of them, even 286 00:17:28,240 --> 00:17:31,160 Speaker 1: though the risk, as we know, is first and foremost 287 00:17:31,160 --> 00:17:33,879 Speaker 1: determined by age. Yeah, I think that that's a problem. 288 00:17:33,920 --> 00:17:37,879 Speaker 1: I think that's racism. But that's not the way that 289 00:17:37,960 --> 00:17:41,480 Speaker 1: the left sees this at all. They are pulling us apart. 290 00:17:41,520 --> 00:17:48,000 Speaker 1: They are Marxist identity politics obsessed. That's what's happening now 291 00:17:48,040 --> 00:17:50,440 Speaker 1: across the country, and that's what's happening with the CDC's 292 00:17:50,480 --> 00:17:54,640 Speaker 1: involvement in all of this. And you know they're they're 293 00:17:54,720 --> 00:17:56,880 Speaker 1: they're doing things at CDC like here's here's how they're 294 00:17:56,920 --> 00:17:59,160 Speaker 1: tackling this, right, let's ask about what are they really doing. 295 00:17:59,280 --> 00:18:02,560 Speaker 1: We're expand ending our internal agency efforts to foster greater 296 00:18:02,640 --> 00:18:06,600 Speaker 1: diversity and create an inclusive and affirming environment that's going 297 00:18:06,640 --> 00:18:08,639 Speaker 1: to save a lot of lives. Yeah, I'm sure the 298 00:18:08,640 --> 00:18:10,560 Speaker 1: CDC is going to be really successful in that we're 299 00:18:10,600 --> 00:18:14,040 Speaker 1: launching a new web portal Racism and Health as part 300 00:18:14,040 --> 00:18:16,200 Speaker 1: of our ongoing commitment to serve as a catalyst for 301 00:18:16,240 --> 00:18:19,119 Speaker 1: public and scientific discourse around racism and health and to 302 00:18:19,119 --> 00:18:21,199 Speaker 1: be accountable for our progress. Oh, I'm sure they're going 303 00:18:21,240 --> 00:18:24,760 Speaker 1: to be really accountable. Here's how they finish off this statement. 304 00:18:24,800 --> 00:18:29,840 Speaker 1: Confronting the impact of racism will not be easy. I 305 00:18:29,920 --> 00:18:31,840 Speaker 1: know we can meet this challenge. I know we can 306 00:18:31,840 --> 00:18:34,119 Speaker 1: create an America where all people have the opportunity to 307 00:18:34,119 --> 00:18:37,040 Speaker 1: live a healthy lifestyle when we each take responsibility and 308 00:18:37,040 --> 00:18:39,520 Speaker 1: work together. I am committed to this work. I certainly 309 00:18:39,520 --> 00:18:44,359 Speaker 1: helpe you will lean in and join me. This is 310 00:18:44,400 --> 00:18:47,960 Speaker 1: all just, this is all just the same stuff that 311 00:18:48,000 --> 00:18:52,479 Speaker 1: you see, the kind of you know, Marxist equity babble 312 00:18:52,600 --> 00:18:56,520 Speaker 1: that you see from college and university admissions offices. I mean, 313 00:18:56,560 --> 00:18:59,960 Speaker 1: they're really pushing very hard on this notion that I'm 314 00:19:00,000 --> 00:19:04,359 Speaker 1: America is this really evil, racist country, and that there 315 00:19:04,440 --> 00:19:07,720 Speaker 1: is no in fact equal protection under the law. The 316 00:19:07,840 --> 00:19:11,919 Speaker 1: law has to be making constant distinctions between people based 317 00:19:11,960 --> 00:19:16,960 Speaker 1: upon race. This is an enormous moral regression. This is 318 00:19:17,000 --> 00:19:21,400 Speaker 1: absolutely wrong. This is absolutely going in the wrong direction. 319 00:19:22,440 --> 00:19:24,880 Speaker 1: And it started with smaller things like, oh, a little 320 00:19:24,880 --> 00:19:26,600 Speaker 1: bit of affirmative action in school is a little bit 321 00:19:26,600 --> 00:19:29,000 Speaker 1: of firmative action and hiring. Now you've got states that 322 00:19:29,040 --> 00:19:32,640 Speaker 1: are saying, oh, you're black or Latino, you get priority 323 00:19:32,720 --> 00:19:35,200 Speaker 1: access to a vaccine over other people, including other people 324 00:19:35,200 --> 00:19:37,520 Speaker 1: who are at higher risk because of their age and comorbidities, 325 00:19:38,080 --> 00:19:42,320 Speaker 1: because equity. It's actually happening in this country right now 326 00:19:42,320 --> 00:19:45,439 Speaker 1: in America. The Biden administrations, of course pushing all this 327 00:19:45,480 --> 00:19:48,680 Speaker 1: stuff as much as they possibly can. That's right, rich 328 00:19:48,680 --> 00:19:51,680 Speaker 1: old white guy Joe Biden is trying to convince America 329 00:19:51,720 --> 00:19:57,719 Speaker 1: he's so concerned with equity. Sure he is. It's a fraud, friends, 330 00:19:57,720 --> 00:20:00,840 Speaker 1: but unfortunately it's when we're going to have to fight 331 00:20:00,920 --> 00:20:04,440 Speaker 1: back against because this is just the beginning. The CDC 332 00:20:04,960 --> 00:20:08,680 Speaker 1: as a woke agency is a reality. You really got 333 00:20:08,680 --> 00:20:10,880 Speaker 1: to fight to get to the truth. These days, the 334 00:20:10,920 --> 00:20:13,439 Speaker 1: media is lying to you all the time, more than ever, 335 00:20:13,520 --> 00:20:15,080 Speaker 1: but it is worse. I just want to say that 336 00:20:15,119 --> 00:20:17,960 Speaker 1: it's worse than it's ever been. And also, people are 337 00:20:18,040 --> 00:20:24,840 Speaker 1: more politically locked into their beliefs and they've ever been before. 338 00:20:24,960 --> 00:20:30,000 Speaker 1: People are more certain that whatever whatever they're saying is 339 00:20:30,000 --> 00:20:33,360 Speaker 1: the only proper way of and I'm talking about even 340 00:20:33,440 --> 00:20:35,840 Speaker 1: the words they use, but just their positions as well. 341 00:20:36,760 --> 00:20:42,679 Speaker 1: We are in a polarized and ossified political environment unlike 342 00:20:42,720 --> 00:20:45,800 Speaker 1: anything that's ever been before in my lifetime. It's existed 343 00:20:45,840 --> 00:20:48,280 Speaker 1: in the past, but it's gotten worse. It keeps getting worse. 344 00:20:49,480 --> 00:20:52,280 Speaker 1: And you see this even over the gun control issue, 345 00:20:52,280 --> 00:20:53,840 Speaker 1: in the way that Joe Biden is talking about gun 346 00:20:53,880 --> 00:20:58,320 Speaker 1: control and you say, hold on a second, why is 347 00:20:58,359 --> 00:21:02,040 Speaker 1: he coming up with this? And he's had so much 348 00:21:02,080 --> 00:21:04,399 Speaker 1: time with all these different advisors and people that are 349 00:21:04,400 --> 00:21:07,800 Speaker 1: actually writing these speeches and the legislation in Congress, and 350 00:21:07,920 --> 00:21:11,240 Speaker 1: he lies about stuff, and we're supposed to think that 351 00:21:11,240 --> 00:21:14,960 Speaker 1: that's not a big problem, Like it's not an issue 352 00:21:15,480 --> 00:21:18,159 Speaker 1: that when it comes to a constitutionally protected right, you 353 00:21:18,320 --> 00:21:20,879 Speaker 1: have the President of the United States saying things that 354 00:21:20,920 --> 00:21:25,160 Speaker 1: are just not true, and then if you bring that up, 355 00:21:25,240 --> 00:21:27,880 Speaker 1: people yell at you like you're a bad person. The 356 00:21:27,920 --> 00:21:31,120 Speaker 1: truth will get you in trouble. Well, the good news 357 00:21:31,160 --> 00:21:33,840 Speaker 1: is there are other people out there like you who 358 00:21:34,119 --> 00:21:36,800 Speaker 1: share your beliefs and you know this. But if you 359 00:21:36,920 --> 00:21:39,359 Speaker 1: try to share your political opinions on social media lately, 360 00:21:39,480 --> 00:21:42,760 Speaker 1: it's hard to have a civil conversation. Luckily, there's Caucus 361 00:21:42,880 --> 00:21:47,240 Speaker 1: Room dot coms, a social media network exclusively for conservatives. 362 00:21:47,520 --> 00:21:50,520 Speaker 1: Caucus Room is an online community for conservatives to gather 363 00:21:50,640 --> 00:21:54,639 Speaker 1: and engage locally. Only real people who are verified conservatives 364 00:21:54,640 --> 00:21:57,720 Speaker 1: can become Caucus remembers. But Caucus Room will never share 365 00:21:57,760 --> 00:22:01,399 Speaker 1: your information with anyone ever. Sign up process ensure as 366 00:22:01,400 --> 00:22:04,760 Speaker 1: you're communicating with real conservatives in your neighborhood, no bots 367 00:22:04,920 --> 00:22:07,800 Speaker 1: or trolls. It's a great way to get engaged on 368 00:22:07,800 --> 00:22:11,240 Speaker 1: issues where you can make the biggest difference locally. At 369 00:22:11,240 --> 00:22:14,320 Speaker 1: Caucus Room, you can participate in live virtual meetings that 370 00:22:14,359 --> 00:22:17,520 Speaker 1: are so secure. The platform plate host over a dozen 371 00:22:17,640 --> 00:22:21,200 Speaker 1: virtual Republican Party conventions over the past year. Caucus Room 372 00:22:21,280 --> 00:22:24,359 Speaker 1: is made by conservatives for conservatives to get organized and 373 00:22:24,480 --> 00:22:27,359 Speaker 1: make a difference. Join the Buck Sexton Listeners group on 374 00:22:27,440 --> 00:22:33,320 Speaker 1: caucus room dot com. That c Aucus Room dot com 375 00:22:33,359 --> 00:22:37,000 Speaker 1: to interact with other listeners just like you again. Caucus 376 00:22:37,280 --> 00:22:42,640 Speaker 1: room dot com, c au cus r oom, Caucus room 377 00:22:42,720 --> 00:22:45,439 Speaker 1: dot com. Join the buck Sexton Listeners group and interact 378 00:22:45,480 --> 00:22:48,000 Speaker 1: with others just like you. Most people don't know. And 379 00:22:48,119 --> 00:22:50,040 Speaker 1: you walk into a store and you buy a gun, 380 00:22:50,080 --> 00:22:52,840 Speaker 1: you have a background check, but you go to a 381 00:22:52,880 --> 00:22:56,440 Speaker 1: gun show, you can buy whatever you want, no background check. 382 00:22:57,440 --> 00:23:01,439 Speaker 1: Not true? Does anybody care anymore when things are not 383 00:23:01,600 --> 00:23:03,800 Speaker 1: true when Joe Biden says them, or when a Democrat 384 00:23:03,840 --> 00:23:06,480 Speaker 1: says them, or oh, I know, we can apply that 385 00:23:06,600 --> 00:23:09,320 Speaker 1: Don Lemon standard, which is well Trump lied so much 386 00:23:09,400 --> 00:23:13,920 Speaker 1: that no lies matter anymore. Now I don't I don't 387 00:23:13,960 --> 00:23:16,160 Speaker 1: agree with that. I don't agree with any of that, 388 00:23:16,280 --> 00:23:19,159 Speaker 1: but that's the standard they're trying to apply now to 389 00:23:19,200 --> 00:23:24,440 Speaker 1: cover up for Amtrak. Joe. You know, here, I am them. 390 00:23:24,680 --> 00:23:27,879 Speaker 1: I'm just gonna you know, I'm just gonna say the stuff. 391 00:23:27,960 --> 00:23:32,919 Speaker 1: And you know, I'm no joke, friends, you know, just 392 00:23:33,040 --> 00:23:35,639 Speaker 1: kind of little breathy, a little a little bit of 393 00:23:35,680 --> 00:23:39,440 Speaker 1: stop and start listen to me, because I'm so earnest, 394 00:23:40,040 --> 00:23:43,159 Speaker 1: such a such a straight shooter, not like a gun shooter, 395 00:23:43,359 --> 00:23:46,520 Speaker 1: like a different kind of shooter. It's not true that 396 00:23:46,560 --> 00:23:49,040 Speaker 1: you can go to a gun show and buy a 397 00:23:49,119 --> 00:23:53,720 Speaker 1: gun without a background check. As a matter of policy, 398 00:23:53,760 --> 00:23:56,160 Speaker 1: that's not the case. If you're a federally licensed firearms 399 00:23:56,160 --> 00:23:58,880 Speaker 1: dealer at a gun show, you will run a background check. 400 00:23:59,359 --> 00:24:01,520 Speaker 1: So when Joeiden says that you can just go to 401 00:24:01,560 --> 00:24:04,040 Speaker 1: a gun show and buy one, that's not true. There 402 00:24:04,040 --> 00:24:07,119 Speaker 1: are some wiggle room in the law for hobbyists and 403 00:24:07,280 --> 00:24:12,640 Speaker 1: enthusiasts who aren't engaged in selling guns as a as 404 00:24:12,640 --> 00:24:15,200 Speaker 1: their business who are at a gun show, But the 405 00:24:15,359 --> 00:24:18,359 Speaker 1: overwhelming majority, it turns out, of people that go to 406 00:24:18,400 --> 00:24:21,239 Speaker 1: gun shows and buy a gun will actually have to 407 00:24:21,240 --> 00:24:24,600 Speaker 1: pass a background check. There's a whole other part of 408 00:24:24,600 --> 00:24:26,719 Speaker 1: this argument too that I think is worth noting, and 409 00:24:26,800 --> 00:24:30,960 Speaker 1: that's a lot of really bad people can pass background checks. 410 00:24:31,600 --> 00:24:34,480 Speaker 1: If somebody has a criminal background, they're gonna know that, 411 00:24:34,840 --> 00:24:38,879 Speaker 1: and they're very likely to ignore whatever the gun laws 412 00:24:38,880 --> 00:24:41,919 Speaker 1: are if they want to get a gun. But a 413 00:24:41,920 --> 00:24:45,160 Speaker 1: lot of other people, including people that have severe mental 414 00:24:45,200 --> 00:24:46,679 Speaker 1: illness or are going to go on some kind of 415 00:24:46,680 --> 00:24:52,320 Speaker 1: a shooting spree, they when you look at it, they 416 00:24:52,320 --> 00:24:54,600 Speaker 1: would pass. They do pass background checks a lot of 417 00:24:54,600 --> 00:24:58,000 Speaker 1: the time. So I understand that there are a lot 418 00:24:58,040 --> 00:24:59,600 Speaker 1: of security measures. I'm not one of these people that's 419 00:24:59,600 --> 00:25:01,760 Speaker 1: going to pret and that there's no need for things 420 00:25:01,800 --> 00:25:05,120 Speaker 1: that aren't one hundred percent effective, right, I mean, this 421 00:25:05,160 --> 00:25:07,600 Speaker 1: is what the left does with vaccines. Now, well it's 422 00:25:07,600 --> 00:25:09,160 Speaker 1: not one hundred percent, so you still have to mask 423 00:25:09,240 --> 00:25:12,840 Speaker 1: up what that's crazy? Sorry, not one hundred percent? All right, 424 00:25:13,000 --> 00:25:17,080 Speaker 1: they're playing games here. Yes, vaccines are incredibly effective at 425 00:25:17,160 --> 00:25:20,120 Speaker 1: preventing the virus from being spread as well as individuals 426 00:25:20,119 --> 00:25:23,000 Speaker 1: from getting it. It's not perfect. I understand that you 427 00:25:23,040 --> 00:25:26,560 Speaker 1: can make a case that background checks are are going 428 00:25:26,600 --> 00:25:29,080 Speaker 1: to work sometimes, and they do work sometimes in stopping 429 00:25:29,119 --> 00:25:31,600 Speaker 1: people from getting farms. But let's also not overstate the 430 00:25:31,680 --> 00:25:35,920 Speaker 1: fact that a lot of mass shooters pass background checks. 431 00:25:37,480 --> 00:25:39,920 Speaker 1: So you know, you're you're throwing a bunch of things 432 00:25:40,000 --> 00:25:42,800 Speaker 1: at this in the hopes that it's going to reduce 433 00:25:43,080 --> 00:25:47,240 Speaker 1: violence in a meaningful way. And what you really get 434 00:25:47,280 --> 00:25:49,280 Speaker 1: with the background check stuff, for the most part, is 435 00:25:49,359 --> 00:25:52,440 Speaker 1: going to be the if it saves just one life mentality, 436 00:25:52,960 --> 00:25:56,800 Speaker 1: which is not how we make policy. If it saves 437 00:25:56,840 --> 00:26:00,920 Speaker 1: one life is the basis for a truly irannical government. 438 00:26:01,119 --> 00:26:03,600 Speaker 1: Because think of all the ways anyone who's going to 439 00:26:03,720 --> 00:26:05,800 Speaker 1: argue with me on this one. The speed limits should 440 00:26:05,800 --> 00:26:07,520 Speaker 1: be ten miles an hour. We would save tens of 441 00:26:07,600 --> 00:26:11,399 Speaker 1: thousands of lives a year. It's true, ten mile an hour. 442 00:26:11,560 --> 00:26:13,960 Speaker 1: What you have to go so fast? What your business 443 00:26:13,960 --> 00:26:17,920 Speaker 1: wouldn't function anymore? Too bad, it'll save lives. We don't 444 00:26:17,960 --> 00:26:20,639 Speaker 1: do that, do we, Although I worry these days that 445 00:26:20,760 --> 00:26:22,840 Speaker 1: the mentality in the era of COVID has changed so 446 00:26:22,960 --> 00:26:25,119 Speaker 1: much that people would say, yeah, actually, you know, we 447 00:26:25,160 --> 00:26:27,359 Speaker 1: probably should have a ten mile a ten mile per 448 00:26:27,400 --> 00:26:29,359 Speaker 1: hour speed limit. You know, I think we actually should 449 00:26:29,359 --> 00:26:34,160 Speaker 1: have that. So the gun show thing is not true. 450 00:26:34,200 --> 00:26:37,920 Speaker 1: But more importantly, you get to the underlying philosophy of 451 00:26:38,080 --> 00:26:44,080 Speaker 1: Joe Biden and his underlying philosophy of the Constitution. Here's 452 00:26:44,080 --> 00:26:48,800 Speaker 1: what he says, play too their phony arguments suggesting that 453 00:26:48,840 --> 00:26:51,120 Speaker 1: these are Second Amendment rights at stake for what we're 454 00:26:51,160 --> 00:26:56,280 Speaker 1: talking about. But no amendment, no amendment to the Constitution 455 00:26:56,480 --> 00:27:02,440 Speaker 1: is absolute. Isn't that so interesting? Because the only amendment 456 00:27:02,480 --> 00:27:05,680 Speaker 1: to the Constitution, and this is just obvious, the only 457 00:27:05,680 --> 00:27:11,080 Speaker 1: amendment of the Constitution that Democrats believe is absolute is 458 00:27:11,560 --> 00:27:16,280 Speaker 1: the right to an abortion, which is not in an amendment, 459 00:27:16,359 --> 00:27:18,600 Speaker 1: nor is it in the Constitution. But there can be 460 00:27:18,720 --> 00:27:24,560 Speaker 1: no restrictions on it whatsoever, no limitations whatsoever. They will 461 00:27:24,680 --> 00:27:28,440 Speaker 1: fight any number of things that have come forward that 462 00:27:28,640 --> 00:27:35,000 Speaker 1: including making abortion centers have doctors with admitting privileges at 463 00:27:35,040 --> 00:27:38,879 Speaker 1: a hospital. Democrats, they left, will fight against that like crazy, 464 00:27:39,160 --> 00:27:42,719 Speaker 1: including saying that you need to have a surgical grade 465 00:27:43,680 --> 00:27:47,879 Speaker 1: medical center to be performing abortions. Democrats will fight against that. 466 00:27:47,960 --> 00:27:51,399 Speaker 1: So even what we would call safety measures for abortions, 467 00:27:51,440 --> 00:27:55,639 Speaker 1: never mind stopping of abortions, they will do everything they 468 00:27:55,680 --> 00:27:57,640 Speaker 1: can to stop. They'll do everything they can to shut 469 00:27:57,720 --> 00:28:01,080 Speaker 1: that down, and unfortunately they're very successful in it. They 470 00:28:01,160 --> 00:28:05,200 Speaker 1: are abortion absolutists. That is true of Democrats, that is 471 00:28:05,200 --> 00:28:08,960 Speaker 1: true of the left. So that's one thing they do 472 00:28:09,080 --> 00:28:12,119 Speaker 1: believe in. And it's just ironic that the only amendment 473 00:28:12,160 --> 00:28:14,160 Speaker 1: that they believe is absolute is the one that doesn't exist, 474 00:28:14,280 --> 00:28:16,320 Speaker 1: or the only constitutional right, which is the right to 475 00:28:16,359 --> 00:28:19,200 Speaker 1: an abortion, which does not exist. And they can continue 476 00:28:19,240 --> 00:28:21,280 Speaker 1: with this lie as long as they want, but it's absurd. 477 00:28:22,200 --> 00:28:26,120 Speaker 1: And then you have something else that I thought about, 478 00:28:26,160 --> 00:28:31,439 Speaker 1: where Biden pulled the fire in a crowded theater line. 479 00:28:32,400 --> 00:28:34,919 Speaker 1: It's remarkable Democrats keep doing this. I mean a lot 480 00:28:34,960 --> 00:28:38,760 Speaker 1: of politicians and Republicans will do this too. Sometimes fire 481 00:28:38,800 --> 00:28:41,680 Speaker 1: in a crowded theater comes from a Supreme Court decision 482 00:28:41,800 --> 00:28:46,640 Speaker 1: Shank v. United States, where the Supreme Court wrongly held 483 00:28:47,160 --> 00:28:50,960 Speaker 1: that a person passing out flyers, a socialist pacifist who 484 00:28:51,040 --> 00:28:53,760 Speaker 1: was opposed to the First World War, passing out flyers 485 00:28:53,840 --> 00:28:57,160 Speaker 1: against the draft and against Woodrow Wilson, who was a tyrant, 486 00:28:57,200 --> 00:29:00,480 Speaker 1: by the way, against Woodrow Wilson's desire to enter the 487 00:29:00,560 --> 00:29:04,480 Speaker 1: US in the First World War, clearly protected political speech 488 00:29:04,800 --> 00:29:08,040 Speaker 1: that that was quote, the equivalent of yelling fire in 489 00:29:08,120 --> 00:29:12,720 Speaker 1: a crowded theater. So Democrats think this is clever. Biden 490 00:29:12,760 --> 00:29:14,840 Speaker 1: thinks this is clever to say, well, there are limitations 491 00:29:14,880 --> 00:29:16,840 Speaker 1: on rights like yelling fire in a crowded theater, and 492 00:29:16,960 --> 00:29:23,480 Speaker 1: he actually cites a a pseudo intellectual justification for the 493 00:29:23,600 --> 00:29:29,480 Speaker 1: tyrannical shutdown of speech, because that's what that actually refers to. 494 00:29:30,920 --> 00:29:37,240 Speaker 1: But you just never you never expect democrats when they speak, 495 00:29:37,280 --> 00:29:39,440 Speaker 1: when they speak about the Constitution. I will just say this, 496 00:29:40,000 --> 00:29:42,320 Speaker 1: it's a little bit like when Democrat politicians speak about 497 00:29:42,360 --> 00:29:45,560 Speaker 1: the Bible. You can they're always they're always a little uncomfortable. 498 00:29:45,560 --> 00:29:47,920 Speaker 1: There's always a little bit, you know, you know, a 499 00:29:48,040 --> 00:29:51,560 Speaker 1: little blue collar joe here. I'm just you know, doing 500 00:29:51,640 --> 00:29:55,040 Speaker 1: my thing, and you know, I get kind of folks here, 501 00:29:55,120 --> 00:29:59,080 Speaker 1: and you know what, get little breath here, and you 502 00:29:59,200 --> 00:30:03,960 Speaker 1: know something, you know, four score and on the seventh day, 503 00:30:04,240 --> 00:30:07,160 Speaker 1: and the thing, you know, they just kind of mutter 504 00:30:07,280 --> 00:30:13,120 Speaker 1: off into nonsense because ultimately Democrats believe that the Constitution 505 00:30:13,600 --> 00:30:17,080 Speaker 1: is a question of utility. They actually don't think that. 506 00:30:17,200 --> 00:30:19,840 Speaker 1: They're that, you know, they don't think that there are 507 00:30:21,360 --> 00:30:26,360 Speaker 1: universal truths that the founding fathers saw in those documents 508 00:30:26,480 --> 00:30:30,520 Speaker 1: and in the document the Constitution, and in the Bill 509 00:30:30,600 --> 00:30:34,440 Speaker 1: of Rights that are more important than whatever the Democrat 510 00:30:34,480 --> 00:30:38,240 Speaker 1: agenda of the moment may be. Shared principle doesn't matter. 511 00:30:38,280 --> 00:30:40,160 Speaker 1: Look at how we've switched from a country that wants 512 00:30:40,320 --> 00:30:43,640 Speaker 1: equality to a country that now wants equity, which is 513 00:30:43,680 --> 00:30:45,840 Speaker 1: just this is just a pathway to Marxism. If this 514 00:30:46,000 --> 00:30:49,800 Speaker 1: means the same ends, you get what the state says, 515 00:30:50,040 --> 00:30:53,280 Speaker 1: you can have as much as possible. Make that true. 516 00:30:53,600 --> 00:30:58,600 Speaker 1: Not the state will treat you and another person equally 517 00:30:58,800 --> 00:31:01,400 Speaker 1: under the law. You have the same recourse to the law, 518 00:31:01,720 --> 00:31:04,160 Speaker 1: you will have the same protections under law. And then 519 00:31:04,200 --> 00:31:07,480 Speaker 1: it's let the best man win. We have a great 520 00:31:07,600 --> 00:31:12,040 Speaker 1: society because we are willing to have an unequal society. 521 00:31:12,400 --> 00:31:14,520 Speaker 1: We are not equal in terms of talents, we are 522 00:31:14,560 --> 00:31:18,200 Speaker 1: not equal in terms of hard work, of intelligence, of 523 00:31:19,600 --> 00:31:23,160 Speaker 1: you know, beauty, of health, of all kinds of things. 524 00:31:23,920 --> 00:31:26,720 Speaker 1: It's not fair. Life is never going to be fair. 525 00:31:27,360 --> 00:31:32,520 Speaker 1: But a government that tries to create a utopian society 526 00:31:32,920 --> 00:31:36,920 Speaker 1: by having absolute control, we see what this does, and 527 00:31:37,080 --> 00:31:41,640 Speaker 1: it results in misery. It results in in the shared 528 00:31:42,840 --> 00:31:45,520 Speaker 1: shared misery. As a Churchill and it there's always a 529 00:31:45,600 --> 00:31:47,920 Speaker 1: Churchill quote. There's always a Churchill quote when you need one. 530 00:31:48,840 --> 00:31:52,240 Speaker 1: Capitalism is the unequal sharing of blessings, and socialism is 531 00:31:52,240 --> 00:31:55,360 Speaker 1: the unequal sharing of misery, or rather the equal sharing 532 00:31:55,520 --> 00:31:59,080 Speaker 1: of misery. You can't mess up your Churchill quote. That's 533 00:31:59,120 --> 00:32:02,840 Speaker 1: not good. But here we have one of these times 534 00:32:02,920 --> 00:32:06,880 Speaker 1: where you see very clearly the Democrat agenda, lady before you, 535 00:32:07,160 --> 00:32:11,320 Speaker 1: and on guns, on health, on all of these things. 536 00:32:12,200 --> 00:32:15,760 Speaker 1: It doesn't matter what argument we make. They've decided they 537 00:32:15,920 --> 00:32:19,600 Speaker 1: want these things. They have an emotional impulse to get it, 538 00:32:19,720 --> 00:32:23,440 Speaker 1: to get it done. And that's why you just you 539 00:32:23,600 --> 00:32:27,040 Speaker 1: see that it all all the facts and figures that 540 00:32:27,120 --> 00:32:29,280 Speaker 1: you can put forward it falls on deaf ears, doesn't matter. 541 00:32:30,640 --> 00:32:34,280 Speaker 1: It's already decided in their minds. So it's very, very 542 00:32:34,440 --> 00:32:37,920 Speaker 1: challenging to see this as anything other than a power 543 00:32:38,000 --> 00:32:41,800 Speaker 1: grab when you actually get into the facts and figures 544 00:32:41,840 --> 00:32:45,160 Speaker 1: with Democrats on gun control, and it's not going to 545 00:32:45,240 --> 00:32:48,280 Speaker 1: save us, meaning it's not going to save a lot 546 00:32:48,320 --> 00:32:50,760 Speaker 1: of lives, it's not going to deal with the enormous 547 00:32:50,880 --> 00:32:56,440 Speaker 1: gun violence surge last year. The gun violence surge was 548 00:32:56,480 --> 00:33:02,200 Speaker 1: the result of undermining law enforcement and emboldening criminals, which 549 00:33:02,320 --> 00:33:04,560 Speaker 1: was all part of a left wing narrative that America 550 00:33:04,680 --> 00:33:07,560 Speaker 1: is a racist place and the cops are racist, and 551 00:33:07,680 --> 00:33:12,520 Speaker 1: that there's a justification for the destruction of businesses and 552 00:33:12,840 --> 00:33:16,440 Speaker 1: rioting in neighborhoods because of that, that's what led to 553 00:33:16,520 --> 00:33:18,840 Speaker 1: the worst murder rates we've seen in this country in 554 00:33:18,920 --> 00:33:21,920 Speaker 1: over twenty years. But no, instead, we're going to talk 555 00:33:21,960 --> 00:33:26,160 Speaker 1: about ghost guns. We're going to talk about how we 556 00:33:26,240 --> 00:33:31,440 Speaker 1: can have some change made to to guns at gun shows. 557 00:33:32,080 --> 00:33:34,400 Speaker 1: I mean, all this stuff. Oh, we've got a new 558 00:33:34,440 --> 00:33:38,240 Speaker 1: ATF director who doesn't like the Second Amendment. Okay, that's 559 00:33:38,280 --> 00:33:42,240 Speaker 1: really going to help, right, This is garbage thinking. But 560 00:33:42,520 --> 00:33:47,920 Speaker 1: the Biden administration as you've seen there's a lot of 561 00:33:49,360 --> 00:33:54,280 Speaker 1: not just bad policy approaches, but bad faith in the 562 00:33:54,360 --> 00:33:56,880 Speaker 1: way they talk about this and the way they view 563 00:33:57,040 --> 00:34:01,640 Speaker 1: the other side. This all began with the disdainful narrative 564 00:34:01,720 --> 00:34:04,560 Speaker 1: of everyone who voted for Donald Trump was somehow a 565 00:34:04,640 --> 00:34:08,839 Speaker 1: part of the January six insurrection, which wasn't an insurrection. 566 00:34:09,160 --> 00:34:10,680 Speaker 1: And the more we found out about it, the more 567 00:34:10,760 --> 00:34:14,080 Speaker 1: we realized it was. You know, it was a mob 568 00:34:14,239 --> 00:34:17,960 Speaker 1: that got out of control, didn't actually kill any cops, 569 00:34:18,760 --> 00:34:22,800 Speaker 1: and is being treated like it was some kind of 570 00:34:23,000 --> 00:34:26,440 Speaker 1: militia effort to overthrow the United States government when it 571 00:34:26,520 --> 00:34:29,839 Speaker 1: was really a bunch of misled losers who did something 572 00:34:30,080 --> 00:34:33,640 Speaker 1: very very stupid and very foolish. But that was the 573 00:34:33,719 --> 00:34:36,960 Speaker 1: beginning narrative, you see, because the Democrats now they view 574 00:34:37,080 --> 00:34:39,919 Speaker 1: you and me through that lens. So they're not gonna 575 00:34:39,920 --> 00:34:41,400 Speaker 1: listen to us on guns, they're not gonna listen to 576 00:34:41,520 --> 00:34:44,560 Speaker 1: us on COVID, not listen to us on anything. We 577 00:34:44,719 --> 00:34:48,040 Speaker 1: just get pushed aside, swept away one of those January 578 00:34:48,120 --> 00:34:52,839 Speaker 1: six insurrection supporters. Even though we've been condemning that thing 579 00:34:52,920 --> 00:34:55,600 Speaker 1: the whole pot, it doesn't matter. They don't care. Said 580 00:34:55,600 --> 00:34:58,680 Speaker 1: a moment ago quote, you go to a gun show, 581 00:34:59,120 --> 00:35:01,919 Speaker 1: you can buy whatever, or you want no background check? 582 00:35:02,640 --> 00:35:05,560 Speaker 1: Is there a special exemption in federal law he's referring to, 583 00:35:05,840 --> 00:35:09,080 Speaker 1: or just do FLA dealers not have to do background 584 00:35:09,160 --> 00:35:12,520 Speaker 1: checks when our got a gun show? All right? Are 585 00:35:12,600 --> 00:35:14,960 Speaker 1: you asking me if he was referring it's okay. Were 586 00:35:15,000 --> 00:35:16,520 Speaker 1: you asking me if he was referring to like a 587 00:35:16,600 --> 00:35:18,959 Speaker 1: specific circumstance or I'm sorry to tell me a little 588 00:35:18,960 --> 00:35:20,960 Speaker 1: bit more about your question. I mean, is it the 589 00:35:21,000 --> 00:35:23,560 Speaker 1: president's belief that you do not have to undergo a 590 00:35:23,640 --> 00:35:27,239 Speaker 1: background check when you are a gun show? No, it's 591 00:35:27,280 --> 00:35:29,920 Speaker 1: not his belief. He believes that gun that background checks 592 00:35:29,920 --> 00:35:34,160 Speaker 1: should be universal. Right, he says no background check. Well, 593 00:35:34,480 --> 00:35:36,400 Speaker 1: we know what his position is, right, so let me 594 00:35:36,480 --> 00:35:39,239 Speaker 1: reiterate that, which is that the gut background checks or 595 00:35:39,320 --> 00:35:42,440 Speaker 1: something that should be universal. They're supported by more than 596 00:35:42,520 --> 00:35:46,000 Speaker 1: eighty percent of the public. He's supported legislation, advocated for that, 597 00:35:47,000 --> 00:35:50,640 Speaker 1: and advocated against loopholes as well. So that's his position, 598 00:35:50,680 --> 00:35:54,600 Speaker 1: and I appreciate you asking for the clarification. Yeah, well 599 00:35:54,800 --> 00:35:57,719 Speaker 1: that's really interesting, Jen Saki, another sake bomb dropped here 600 00:35:57,800 --> 00:36:00,800 Speaker 1: because he said very clearly we all heard Joe Biden 601 00:36:00,880 --> 00:36:03,480 Speaker 1: before he said that you can go to a back 602 00:36:03,560 --> 00:36:05,640 Speaker 1: you can go to a gun show, no background check. 603 00:36:05,760 --> 00:36:07,920 Speaker 1: That was no background check, that was the quote. Not 604 00:36:08,640 --> 00:36:11,239 Speaker 1: pretty much always a background check, but maybe under some 605 00:36:11,360 --> 00:36:13,479 Speaker 1: circumstances you might be able to get a farm without 606 00:36:13,480 --> 00:36:17,120 Speaker 1: a background check. That's not what he said. So when 607 00:36:17,160 --> 00:36:19,360 Speaker 1: she says, we know his position, okay, but what he 608 00:36:19,400 --> 00:36:22,720 Speaker 1: said isn't true, and it should matter what the President 609 00:36:22,760 --> 00:36:25,040 Speaker 1: of the United States says on a policy issue like this, 610 00:36:25,640 --> 00:36:28,800 Speaker 1: where the facts are really what we are talking about. 611 00:36:29,080 --> 00:36:35,480 Speaker 1: The facts are really what's at issue here. Vice President 612 00:36:36,480 --> 00:36:40,960 Speaker 1: Harris is also out there on the push for gun control. 613 00:36:41,080 --> 00:36:44,760 Speaker 1: Here she is playing nine. Over the course of my career, 614 00:36:45,680 --> 00:36:49,600 Speaker 1: I have seen gun violence up close. I've looked at 615 00:36:49,640 --> 00:36:54,160 Speaker 1: autopsy photographs. I've seen with my own two eyes what 616 00:36:54,280 --> 00:36:58,000 Speaker 1: a bullet can do to the human body. I've held 617 00:36:58,160 --> 00:37:02,400 Speaker 1: hands with the hand of parents who have lost a child. 618 00:37:03,920 --> 00:37:08,520 Speaker 1: I have seen children who are traumatized by the loss 619 00:37:08,640 --> 00:37:12,680 Speaker 1: of a parent or sibling. And I have fought my 620 00:37:12,920 --> 00:37:17,480 Speaker 1: entire career to end this violence and to pass reasonable 621 00:37:17,640 --> 00:37:23,160 Speaker 1: gun safety laws. Time and again, as progress has stalled, 622 00:37:23,840 --> 00:37:28,719 Speaker 1: we've all asked, what are we waiting for because we 623 00:37:28,800 --> 00:37:32,440 Speaker 1: aren't waiting for a tragedy. I know that we've had 624 00:37:32,520 --> 00:37:36,480 Speaker 1: more tragedy than we can bear. We aren't waiting for 625 00:37:36,600 --> 00:37:42,920 Speaker 1: solutions either, because the solutions exist, They already exist. People 626 00:37:43,239 --> 00:37:48,880 Speaker 1: on both sides of the aisle want action. Real people 627 00:37:49,280 --> 00:37:54,759 Speaker 1: on both sides of the aisle want action. Okay, what 628 00:37:55,000 --> 00:37:59,440 Speaker 1: action do we supposedly want? The panning of ghost guns? 629 00:38:00,320 --> 00:38:01,840 Speaker 1: Is the banning of ghost guns? I remember, I'm just 630 00:38:01,880 --> 00:38:03,839 Speaker 1: wondering if we went down this list. Let's let's take 631 00:38:03,840 --> 00:38:06,319 Speaker 1: a look at a city like oh Chicago, which had 632 00:38:06,360 --> 00:38:09,040 Speaker 1: a massive increase in shootings last year, and it's already 633 00:38:09,120 --> 00:38:11,440 Speaker 1: far too violent as a city. With the banning of 634 00:38:11,480 --> 00:38:15,279 Speaker 1: ghost guns, or the background check provision changes that they want, 635 00:38:15,960 --> 00:38:23,760 Speaker 1: or anything that Biden's talking about, classifying modifications to a pistol, 636 00:38:23,880 --> 00:38:25,920 Speaker 1: so that'll be a short barrel rifle and you'll have 637 00:38:26,000 --> 00:38:28,879 Speaker 1: to register it under the National Firearms Act. Would any 638 00:38:28,920 --> 00:38:30,840 Speaker 1: of that stop a single one of the shootings in 639 00:38:30,960 --> 00:38:33,560 Speaker 1: Chicago last year? Let's just take that as a as 640 00:38:33,719 --> 00:38:35,640 Speaker 1: as one point here. Would any of them do that? 641 00:38:36,840 --> 00:38:39,600 Speaker 1: I don't have the answer. I bet the answer is 642 00:38:40,239 --> 00:38:42,200 Speaker 1: less than one percent of those shootings would have been 643 00:38:42,200 --> 00:38:44,560 Speaker 1: affected by those things. But this is the action we 644 00:38:44,640 --> 00:38:46,600 Speaker 1: have to take. This is what we have to do. 645 00:38:47,080 --> 00:38:49,320 Speaker 1: It's about so much more than that. There's a fundamental 646 00:38:49,760 --> 00:38:52,279 Speaker 1: philosophical difference between the left and the right on the 647 00:38:52,320 --> 00:38:56,160 Speaker 1: issue of guns. They think that guns are a little 648 00:38:56,280 --> 00:39:00,840 Speaker 1: private rebellion in the hands of individual American citizens and 649 00:39:01,000 --> 00:39:05,680 Speaker 1: they cannot abide it. And we think that that little 650 00:39:05,719 --> 00:39:09,120 Speaker 1: private rebellion that each one of us has by essentially 651 00:39:09,200 --> 00:39:11,719 Speaker 1: having the opportunity to tell the state there is a 652 00:39:11,800 --> 00:39:13,839 Speaker 1: line that you shall not cross. There is a break 653 00:39:14,440 --> 00:39:17,759 Speaker 1: against tyranny. There's a bulwark against tyranny that has an 654 00:39:17,760 --> 00:39:21,600 Speaker 1: individual hands, which is the right to bear arms. That's 655 00:39:21,760 --> 00:39:26,919 Speaker 1: very important to this country. You know, advanced sophisticated democracies 656 00:39:26,920 --> 00:39:29,480 Speaker 1: in the past, with a high standard of living and 657 00:39:30,080 --> 00:39:34,040 Speaker 1: have gone fully tyrannical. They did not have an armed population. 658 00:39:35,040 --> 00:39:38,120 Speaker 1: We have an armed population, and we wanted to stay 659 00:39:38,200 --> 00:39:44,040 Speaker 1: that way. Democrats want to create registries and harass lawful 660 00:39:44,120 --> 00:39:46,840 Speaker 1: gun owners in every way they can change the culture, 661 00:39:47,200 --> 00:39:50,880 Speaker 1: change everything about the gun ownership reality in this country 662 00:39:51,360 --> 00:39:55,160 Speaker 1: so that they put it on a glide path to eradication. 663 00:39:55,920 --> 00:40:00,319 Speaker 1: That's what's really separating the two sides. Sarsani time friend 664 00:40:00,440 --> 00:40:04,239 Speaker 1: David Harsani from National Review dot Com is joining us 665 00:40:04,320 --> 00:40:06,080 Speaker 1: right now to talk about guns and maybe even some 666 00:40:06,200 --> 00:40:08,719 Speaker 1: Hunter Biden stuff if we've got the time. David, great 667 00:40:08,760 --> 00:40:11,320 Speaker 1: to have you. Let's jump right to this man. This 668 00:40:11,560 --> 00:40:16,279 Speaker 1: seems to me like it is absolutely as predictable as 669 00:40:16,320 --> 00:40:18,720 Speaker 1: anything could be the Biden administration. We're a few months 670 00:40:18,760 --> 00:40:22,600 Speaker 1: in and we're having it's the same gun control debate 671 00:40:22,680 --> 00:40:26,440 Speaker 1: we had under the Obama administration. Time and again. They 672 00:40:26,520 --> 00:40:28,799 Speaker 1: never give up. I'll give them credit for that. Yeah, 673 00:40:28,840 --> 00:40:30,719 Speaker 1: I was thinking about that about that the other day, 674 00:40:30,760 --> 00:40:33,440 Speaker 1: about how I'm constantly I feel like I'm writing the 675 00:40:33,480 --> 00:40:35,040 Speaker 1: same thing over and over again. But it's really not 676 00:40:35,200 --> 00:40:37,480 Speaker 1: my fault because they keep coming back with the same 677 00:40:37,560 --> 00:40:42,879 Speaker 1: exact arguments, the same exact policy proposals. Actually they're getting 678 00:40:42,920 --> 00:40:46,160 Speaker 1: a little worse. Like Biden said a lot of particulous 679 00:40:46,200 --> 00:40:49,120 Speaker 1: things the other day that are completely false. I mean, 680 00:40:49,160 --> 00:40:52,759 Speaker 1: their lies about gun shows, you know, not having to 681 00:40:52,840 --> 00:40:55,200 Speaker 1: have a background check when you buy guns at gun shows, 682 00:40:55,239 --> 00:40:59,040 Speaker 1: about are fifteens about everything. So I'm not sure exactly 683 00:40:59,120 --> 00:41:01,560 Speaker 1: why they're doing this because it seems unlikely the legislation 684 00:41:01,640 --> 00:41:04,160 Speaker 1: will pass, but it definitely will rile up gun owners 685 00:41:04,160 --> 00:41:07,080 Speaker 1: will probably see another huge spiking gun owner you know, 686 00:41:07,200 --> 00:41:09,920 Speaker 1: people buying guns. If the manufacturers can keep up with it, 687 00:41:10,040 --> 00:41:14,000 Speaker 1: I'm not sure. And what do you think they really 688 00:41:14,160 --> 00:41:17,319 Speaker 1: hope to accomplish by this? I mean, if we were 689 00:41:17,640 --> 00:41:20,000 Speaker 1: we were able to sit in in a meeting in 690 00:41:20,080 --> 00:41:23,640 Speaker 1: the Oval, let's say, with Kamala and Joe and you 691 00:41:23,719 --> 00:41:28,680 Speaker 1: know the Ron Klaine. Is this to drive up the 692 00:41:29,200 --> 00:41:33,319 Speaker 1: Democrat bases enthusiasm for this administration and just to drive 693 00:41:33,400 --> 00:41:36,400 Speaker 1: up donations or do you think that they really believe 694 00:41:36,920 --> 00:41:38,360 Speaker 1: that they're going to because I mean my thing is, 695 00:41:38,640 --> 00:41:42,520 Speaker 1: even if they got these things, no one who understands 696 00:41:42,560 --> 00:41:46,400 Speaker 1: the numbers and the statistics thinks that a change in 697 00:41:46,600 --> 00:41:49,560 Speaker 1: ghost guns is going to bring down the violence rate 698 00:41:49,719 --> 00:41:51,520 Speaker 1: or you'd be able to show how this is actually 699 00:41:51,600 --> 00:41:55,759 Speaker 1: saving lives. So what do they think they accomplish with this? Well? 700 00:41:55,800 --> 00:41:57,359 Speaker 1: I think it's two things. First of all, I think 701 00:41:57,400 --> 00:41:59,520 Speaker 1: there's a lot of pressure from left wing groups to 702 00:41:59,600 --> 00:42:02,240 Speaker 1: do some things, so they decide to, you know, pretend 703 00:42:02,280 --> 00:42:06,239 Speaker 1: they're doing something ghost guns. You know, when you're when 704 00:42:06,239 --> 00:42:09,200 Speaker 1: you're going the executive order route, there's only someone you 705 00:42:09,239 --> 00:42:12,120 Speaker 1: can do. It's unconstitutional to limit people, you know, AAR 706 00:42:12,160 --> 00:42:14,200 Speaker 1: fifteens or whatever. So they're trying to sort of nibble 707 00:42:14,200 --> 00:42:17,560 Speaker 1: at the edges to allow people to get excited about 708 00:42:17,600 --> 00:42:20,920 Speaker 1: them doing something. The second part is if they do something, 709 00:42:21,080 --> 00:42:23,680 Speaker 1: if they somehow get something through the point, you know, 710 00:42:23,800 --> 00:42:26,279 Speaker 1: AAR fifteens are used in only a small fraction of 711 00:42:26,360 --> 00:42:28,959 Speaker 1: murders in the United States. But if they get something through, 712 00:42:30,160 --> 00:42:32,759 Speaker 1: it's incrementalism and they want to take your guns. I 713 00:42:32,840 --> 00:42:35,160 Speaker 1: have zero doubt about that. And they're just trying to 714 00:42:35,200 --> 00:42:37,920 Speaker 1: figure out ways in which they can move forward, constantly, 715 00:42:38,000 --> 00:42:41,800 Speaker 1: move forward. I am you know, I'm against any like 716 00:42:41,920 --> 00:42:44,279 Speaker 1: it doesn't matter what I'm forward, but I'm against any 717 00:42:44,440 --> 00:42:47,080 Speaker 1: legislation that moves forward more gun control. We have forty 718 00:42:47,160 --> 00:42:49,840 Speaker 1: thousand gun laws on the books. We don't need anymore. 719 00:42:49,880 --> 00:42:52,640 Speaker 1: We need enforcement of gun laws we have. We need 720 00:42:52,719 --> 00:42:55,760 Speaker 1: someone to investigate Hunter Biden, see why you had a weapon, 721 00:42:55,800 --> 00:42:58,160 Speaker 1: and why he led on his background check form, and 722 00:42:58,280 --> 00:43:00,520 Speaker 1: why a gun was stored out in a garbage your school, 723 00:43:00,520 --> 00:43:03,920 Speaker 1: for instance. Well, can you, David, we dive into that 724 00:43:03,920 --> 00:43:05,959 Speaker 1: because I actually haven't covered that yet on the show, 725 00:43:06,400 --> 00:43:08,239 Speaker 1: and so I want this audience to know exactly what 726 00:43:08,280 --> 00:43:09,839 Speaker 1: you're going and we're going to talk about Hunter Biden 727 00:43:09,840 --> 00:43:11,600 Speaker 1: in general and all the stuff that's come out. But 728 00:43:11,760 --> 00:43:14,640 Speaker 1: tell everybody what happened with a Hunter Biden gun situation. Well, 729 00:43:14,680 --> 00:43:16,239 Speaker 1: he you know, when you buy a gun, you signed 730 00:43:16,239 --> 00:43:17,840 Speaker 1: a background check. A lot of people don't know that 731 00:43:17,920 --> 00:43:20,839 Speaker 1: because Democrats always lie about it, but you know, eight 732 00:43:21,000 --> 00:43:22,960 Speaker 1: ninety nine percent of people buy guns have to go 733 00:43:23,000 --> 00:43:25,080 Speaker 1: through a background check. Every gun has gone through a 734 00:43:25,120 --> 00:43:27,840 Speaker 1: background check, and Hunter Biden has a I believe it 735 00:43:27,960 --> 00:43:30,080 Speaker 1: was just some kind of semi automatic gun that he 736 00:43:30,160 --> 00:43:33,040 Speaker 1: bought at a gun shop, but he lied on his 737 00:43:33,160 --> 00:43:36,520 Speaker 1: background check form because he said that he wasn't I 738 00:43:36,560 --> 00:43:38,879 Speaker 1: don't know how it's phrased, but it's doing drugs, right, yeah, 739 00:43:39,000 --> 00:43:42,759 Speaker 1: using drugs that he wasn't doing crack so um and 740 00:43:42,960 --> 00:43:46,480 Speaker 1: he was, which is fine, I mean not fine. But 741 00:43:46,560 --> 00:43:48,560 Speaker 1: maybe he's getting over it, maybe he's in rehab. I 742 00:43:48,600 --> 00:43:50,279 Speaker 1: don't know what he is. But he lied on his form, 743 00:43:50,360 --> 00:43:53,040 Speaker 1: which is I believe it might I think it's a felony. 744 00:43:53,560 --> 00:43:56,719 Speaker 1: So he's lying to the FBI. So a lot of 745 00:43:56,800 --> 00:43:59,919 Speaker 1: people lie on those forms and there are very few prosecutions. 746 00:44:00,160 --> 00:44:02,840 Speaker 1: Let's go after people lying on those forums. Let's go 747 00:44:03,040 --> 00:44:07,200 Speaker 1: after let's tighten up the system. Like in Charleston, the 748 00:44:08,560 --> 00:44:11,759 Speaker 1: local police hadn't informed the FBI that there was criminality. 749 00:44:12,120 --> 00:44:14,800 Speaker 1: You know that shooter had done drugs as well. So 750 00:44:15,680 --> 00:44:17,759 Speaker 1: um anyway, so I think you know, there are plenty 751 00:44:17,840 --> 00:44:19,520 Speaker 1: laws in the books. We need to tighten those up. 752 00:44:19,560 --> 00:44:22,480 Speaker 1: I'm all for, you know, going after people who lie 753 00:44:22,520 --> 00:44:24,720 Speaker 1: on background checks, but we don't need any more laws. 754 00:44:26,080 --> 00:44:29,640 Speaker 1: And what was the disposing of the gun hunter Biden 755 00:44:29,800 --> 00:44:32,600 Speaker 1: near a school or something? What's that? I don't know 756 00:44:32,719 --> 00:44:36,240 Speaker 1: the particulars exactly, but something like I think it feels 757 00:44:36,320 --> 00:44:38,160 Speaker 1: like this is just how it feels like after reading 758 00:44:38,200 --> 00:44:41,319 Speaker 1: it to me. Or what seems like is that his girlfriend, 759 00:44:41,480 --> 00:44:44,000 Speaker 1: I guess it is, felt that he was a danger 760 00:44:44,080 --> 00:44:46,120 Speaker 1: to himself or a danger to others and took the 761 00:44:46,160 --> 00:44:47,920 Speaker 1: gun and just threw it out in a nearby garbage 762 00:44:47,920 --> 00:44:49,760 Speaker 1: which happened to be across the street from a school, 763 00:44:50,239 --> 00:44:53,839 Speaker 1: which is and you can it's it's I'm not sure 764 00:44:53,880 --> 00:44:55,560 Speaker 1: in Delaware what the laws are, but you're not supposed 765 00:44:55,560 --> 00:44:58,759 Speaker 1: to throw out guns in in that way, and I 766 00:44:58,800 --> 00:45:01,359 Speaker 1: supposed to dispose of that's that's not a safe I mean, 767 00:45:01,600 --> 00:45:04,040 Speaker 1: if you're not supposed to dispose if you're any biotics 768 00:45:04,360 --> 00:45:06,680 Speaker 1: in the trash, you know, or or any prescripture. I'm 769 00:45:06,680 --> 00:45:09,239 Speaker 1: pretty sure it's supposed to throw a glock in the 770 00:45:09,320 --> 00:45:12,000 Speaker 1: trash and just hope that nobody finds it. But um, 771 00:45:12,400 --> 00:45:15,160 Speaker 1: I'm speaking of David Harsani of National View here and 772 00:45:15,239 --> 00:45:20,000 Speaker 1: David on the Hunter Biden stuff. So so here's my thing, 773 00:45:20,120 --> 00:45:21,800 Speaker 1: and I think you will you alluded to this, this 774 00:45:22,400 --> 00:45:26,280 Speaker 1: feeling or just a couple of moments ago. Yeah, addiction 775 00:45:26,440 --> 00:45:30,120 Speaker 1: is a very very serious crippling thing, and it ruins families, 776 00:45:30,120 --> 00:45:34,239 Speaker 1: and it is quite sad. I think it's perfectly fine out. 777 00:45:34,280 --> 00:45:38,040 Speaker 1: I think it's actually just being fair minded to say that, Yeah, 778 00:45:38,160 --> 00:45:41,000 Speaker 1: Hunter Biden is an addict, and that's something that we 779 00:45:41,040 --> 00:45:47,520 Speaker 1: can sympathize with. Hunter Biden is also a really narcissistic, spoiled, 780 00:45:47,840 --> 00:45:53,680 Speaker 1: destructive scumbag. And and if if he were Donald Trump's son, 781 00:45:54,160 --> 00:45:57,440 Speaker 1: or even any Republican son for that matter, he wouldn't 782 00:45:57,480 --> 00:46:00,800 Speaker 1: be going on a book tour right now. Jimmy Kimmel 783 00:46:00,920 --> 00:46:05,680 Speaker 1: is basically giving him a BackRub on TV. Yeah. I mean, 784 00:46:06,760 --> 00:46:09,320 Speaker 1: I never or very rarely were write about stories that 785 00:46:09,440 --> 00:46:11,480 Speaker 1: have to do with like infidelity or drug use of 786 00:46:11,600 --> 00:46:13,799 Speaker 1: politicians like I just don't do it because we don't 787 00:46:13,880 --> 00:46:16,600 Speaker 1: really know what the situation is all usually, but here's 788 00:46:16,640 --> 00:46:19,040 Speaker 1: the thing. This is the This is now the president's son, 789 00:46:19,160 --> 00:46:22,160 Speaker 1: the vice president son who only made a you know 790 00:46:22,200 --> 00:46:25,839 Speaker 1: who made fifty k for a Ukrainian energy firm because 791 00:46:25,880 --> 00:46:29,000 Speaker 1: of his last name. And we're not allowed to talk 792 00:46:29,040 --> 00:46:31,720 Speaker 1: about this sort of thing because it makes the president 793 00:46:31,800 --> 00:46:34,759 Speaker 1: look bad and it's just insane. I mean, if, like 794 00:46:34,920 --> 00:46:37,239 Speaker 1: you said, if this was Don Junior or any of 795 00:46:37,320 --> 00:46:39,760 Speaker 1: Trump's kids, it would be all over the front pages 796 00:46:39,800 --> 00:46:43,400 Speaker 1: of every newspaper. He's a bad guy. I'm sorry. You know, 797 00:46:43,480 --> 00:46:46,320 Speaker 1: the things he's done are immoral. It's not just the 798 00:46:46,440 --> 00:46:48,759 Speaker 1: drug use that I know addicts and I know that 799 00:46:48,800 --> 00:46:52,239 Speaker 1: people make mistakes and etc. But that's not the case here. 800 00:46:52,320 --> 00:46:54,759 Speaker 1: He doesn't seem to have any much remorse about him. 801 00:46:55,239 --> 00:46:58,480 Speaker 1: But moreover, he is benefiting from it still. Now he 802 00:46:58,520 --> 00:47:02,319 Speaker 1: has a book and he's and he's playing himself as 803 00:47:02,400 --> 00:47:06,160 Speaker 1: the victim where you know, a major media institutions aren't 804 00:47:06,200 --> 00:47:10,200 Speaker 1: investigating what he was up to in China, in Ukraine 805 00:47:10,239 --> 00:47:12,359 Speaker 1: and et cetera. They would just not be the same 806 00:47:12,440 --> 00:47:14,480 Speaker 1: for any other president's son. I mean, any at least 807 00:47:14,480 --> 00:47:20,680 Speaker 1: any Republicans. It's remarkable as well, David, to see Chris Hayes, 808 00:47:20,680 --> 00:47:25,560 Speaker 1: for example, over at MSNBC. Who he's He's I guess 809 00:47:25,680 --> 00:47:28,680 Speaker 1: if you're like a Brooklyn Liberal, you know he's your. 810 00:47:29,280 --> 00:47:33,240 Speaker 1: He is your your, your great champion of progressive causes. 811 00:47:33,280 --> 00:47:36,160 Speaker 1: I don't know. I've never understood how this guy is 812 00:47:36,200 --> 00:47:39,600 Speaker 1: someone that people listen to about anything but that's me. Uh. 813 00:47:40,480 --> 00:47:43,239 Speaker 1: He had some tweet about you know, maybe maybe is 814 00:47:43,280 --> 00:47:46,840 Speaker 1: it possible that Hunter Biden's laptop was actually real? And 815 00:47:47,040 --> 00:47:49,600 Speaker 1: I look at that and I honestly can't come to 816 00:47:49,800 --> 00:47:54,560 Speaker 1: a conclusion. I can't analyze with certainty in my own head. 817 00:47:55,600 --> 00:47:58,640 Speaker 1: Is he just really not smart and so he he 818 00:47:58,840 --> 00:48:03,239 Speaker 1: doesn't believe that the laptop was it's clearly real. There's 819 00:48:03,280 --> 00:48:05,560 Speaker 1: more information that's come out about it. It's obviously Hunter 820 00:48:05,640 --> 00:48:08,239 Speaker 1: Biden's laptop. If it wasn't, they would have been able 821 00:48:08,239 --> 00:48:10,839 Speaker 1: to bunk it right away. Or is this now kind 822 00:48:10,880 --> 00:48:13,399 Speaker 1: of a game? I mean, is gas lighting on something 823 00:48:13,520 --> 00:48:16,239 Speaker 1: like this for people who have large platforms and the 824 00:48:16,320 --> 00:48:20,480 Speaker 1: media on the left part of the fun I don't know. 825 00:48:21,400 --> 00:48:25,319 Speaker 1: I think that many times people convinced themselves of things 826 00:48:25,440 --> 00:48:29,520 Speaker 1: like the Russians are you know, the Russians planted Hunter's 827 00:48:30,040 --> 00:48:32,319 Speaker 1: laptop with the New York Post. I mean, I still 828 00:48:32,360 --> 00:48:34,560 Speaker 1: see people say stuff like that. It's just in saying 829 00:48:34,640 --> 00:48:38,880 Speaker 1: that story. Those stories had far more journalistic integrity and 830 00:48:38,920 --> 00:48:41,520 Speaker 1: the people who did them at far more journalistic integrity 831 00:48:41,560 --> 00:48:44,759 Speaker 1: the most stories you see on MSNBC about Russia or 832 00:48:44,800 --> 00:48:47,200 Speaker 1: whatever else. So I don't I don't know what the 833 00:48:47,239 --> 00:48:49,960 Speaker 1: answer to that is, but it's it's increasingly clear now 834 00:48:50,120 --> 00:48:51,839 Speaker 1: we you and I knew this, and we talked about 835 00:48:51,880 --> 00:48:54,080 Speaker 1: it at the time, that those stories were censored on 836 00:48:54,200 --> 00:48:57,040 Speaker 1: purpose to help one, you know, one candidate when the presidency. 837 00:48:57,280 --> 00:49:01,680 Speaker 1: It's corrupt, the media's corrupt. I refuse to say things 838 00:49:01,719 --> 00:49:04,720 Speaker 1: as a matter of course, even if it will benefit 839 00:49:04,880 --> 00:49:07,920 Speaker 1: my my you know, I'm a registered Republican, even will 840 00:49:07,920 --> 00:49:10,680 Speaker 1: benefit the Republican Party, it'll I refuse to say things 841 00:49:10,719 --> 00:49:13,000 Speaker 1: that make me feel like I'm a moron. And I 842 00:49:13,120 --> 00:49:15,799 Speaker 1: don't see that among very prominent people on the left. 843 00:49:15,840 --> 00:49:18,880 Speaker 1: I mean, I went on on a tario recently because 844 00:49:18,960 --> 00:49:23,640 Speaker 1: on Joe Scarborough Show on MSNBC in the morning, he 845 00:49:23,760 --> 00:49:26,520 Speaker 1: went on this whole thing about how you know, vaccine 846 00:49:26,760 --> 00:49:30,840 Speaker 1: denialism is for moron Trump supporters and like they're a 847 00:49:30,880 --> 00:49:34,440 Speaker 1: bunch of you know, toothless rubes who are drinking their 848 00:49:34,880 --> 00:49:37,400 Speaker 1: you know, Budweiser at Nascar. I mean it is just 849 00:49:37,640 --> 00:49:40,279 Speaker 1: he clearly makes us about anybody who was a question 850 00:49:40,320 --> 00:49:44,759 Speaker 1: about or vaccine hesitancy is some idiot Trump supporter when 851 00:49:45,000 --> 00:49:50,120 Speaker 1: I mean, in reality, the biggest vaccine hesitancy bulge in 852 00:49:50,200 --> 00:49:54,000 Speaker 1: the demographics is among minorities. But you know, it's like 853 00:49:54,120 --> 00:49:56,480 Speaker 1: he's not embarrassed to say something that's just so very 854 00:49:56,600 --> 00:49:59,719 Speaker 1: stupid because it serves the purpose in the moment. Yeah, 855 00:50:00,040 --> 00:50:02,759 Speaker 1: I mean it depends. So I think that a lot 856 00:50:02,840 --> 00:50:05,320 Speaker 1: of people on the left who are smart, you know, 857 00:50:05,440 --> 00:50:07,880 Speaker 1: as far as their IQ goes, or will do anything 858 00:50:07,960 --> 00:50:10,560 Speaker 1: because they feel like Republicans are evil and anything is 859 00:50:10,640 --> 00:50:13,240 Speaker 1: fine to say as long as it, you know, helps 860 00:50:13,280 --> 00:50:15,560 Speaker 1: them achieve the goals that they want. I think there 861 00:50:15,600 --> 00:50:17,640 Speaker 1: are other people like Joe Scarborough, who is just not 862 00:50:18,000 --> 00:50:21,640 Speaker 1: very bright to begin with, but also it will say 863 00:50:21,640 --> 00:50:24,640 Speaker 1: anything for ratings and will say anything that people want 864 00:50:24,680 --> 00:50:26,160 Speaker 1: to hear wherever he is. I mean, when he was 865 00:50:26,280 --> 00:50:28,520 Speaker 1: running in Florida, you know, he pretended to be this 866 00:50:28,719 --> 00:50:30,960 Speaker 1: one type of person and now he's up in wherever 867 00:50:31,200 --> 00:50:35,520 Speaker 1: what is it in New Jersey or wherever ms MSNBC films. 868 00:50:35,520 --> 00:50:37,720 Speaker 1: He pretends to be whatever is good there. When Trump, 869 00:50:38,000 --> 00:50:40,440 Speaker 1: when Trump was bringing him ratings, he said whatever Trump 870 00:50:40,480 --> 00:50:43,600 Speaker 1: wanted to hear. And now that you know, Trump was unpopularly, 871 00:50:43,640 --> 00:50:47,480 Speaker 1: so he'll say whatever he wants. But so it depends 872 00:50:47,480 --> 00:50:48,920 Speaker 1: where you're talking about. But I think there's a lot 873 00:50:48,960 --> 00:50:51,279 Speaker 1: of ends justify the means stuff there, and people sort 874 00:50:51,320 --> 00:50:54,040 Speaker 1: of are in bubbles and they repeat things and they 875 00:50:54,080 --> 00:50:56,680 Speaker 1: start to believe them, or if they don't, they just 876 00:50:56,880 --> 00:50:59,680 Speaker 1: want you know, it's propaganda. It's basically a propaganda, or 877 00:51:00,160 --> 00:51:02,120 Speaker 1: keep repeating it. And you know, I can't bore into 878 00:51:02,160 --> 00:51:03,600 Speaker 1: the souls of some of these people to know if 879 00:51:03,600 --> 00:51:06,400 Speaker 1: they actually believe what they're saying. I'm embarrassed for them. 880 00:51:06,520 --> 00:51:08,680 Speaker 1: Quite often, like Jennifer Rubins of the World, I just 881 00:51:08,800 --> 00:51:12,040 Speaker 1: think it's a sort of emotionally driven hatred of certain 882 00:51:12,120 --> 00:51:14,440 Speaker 1: kind of people. Or Tom Nichols at The Atlantic, I 883 00:51:14,480 --> 00:51:17,319 Speaker 1: think he just hates the aesthetic of people who wear 884 00:51:17,360 --> 00:51:20,200 Speaker 1: America shirts or are too flag wavy, you know what 885 00:51:20,280 --> 00:51:22,239 Speaker 1: I mean, or people who live in places that he 886 00:51:22,360 --> 00:51:25,560 Speaker 1: doesn't visit, so I think that's a problem too. So 887 00:51:25,600 --> 00:51:27,600 Speaker 1: I think it's a bunch of different sorts of sort 888 00:51:27,640 --> 00:51:29,759 Speaker 1: of you know, they're different sorts of trends going on. 889 00:51:31,400 --> 00:51:37,279 Speaker 1: Is this Biden administration at this stage more left wing 890 00:51:37,480 --> 00:51:41,120 Speaker 1: even than what we saw in the first year of 891 00:51:41,239 --> 00:51:45,439 Speaker 1: the Obama administration in two thousand and nine. First, Buck, 892 00:51:45,440 --> 00:51:46,839 Speaker 1: I just want to say, I love that you let 893 00:51:47,000 --> 00:51:49,160 Speaker 1: you team me up to go after my least favorite 894 00:51:49,200 --> 00:51:51,719 Speaker 1: people in the media. So I just wanted to quickly 895 00:51:51,760 --> 00:51:57,520 Speaker 1: say I appreciate that. But moving forward, let's to displace 896 00:51:57,600 --> 00:52:00,319 Speaker 1: my anger on this show. So the second thing, Yes, 897 00:52:00,400 --> 00:52:04,480 Speaker 1: I mean, obviously I think the party, the policy wise, 898 00:52:04,520 --> 00:52:06,480 Speaker 1: they're far left. I mean they're they're far left of 899 00:52:06,600 --> 00:52:09,040 Speaker 1: of Obama. And this is just accelerated in ways that 900 00:52:09,080 --> 00:52:12,880 Speaker 1: are incredible. So today I saw Joe Biden is going 901 00:52:12,960 --> 00:52:15,240 Speaker 1: to have a study group to look into packing the courts. 902 00:52:15,719 --> 00:52:17,759 Speaker 1: I mean, you know, why would he do that. It's 903 00:52:17,800 --> 00:52:20,719 Speaker 1: not popular among the normal people. It's not probably even 904 00:52:20,800 --> 00:52:23,879 Speaker 1: popular among most Democrats. It's popular on the far left. 905 00:52:23,880 --> 00:52:26,759 Speaker 1: Because the far left is the loudest, the most activist, 906 00:52:26,920 --> 00:52:30,319 Speaker 1: the most you know, the people who raise the money, 907 00:52:30,360 --> 00:52:32,279 Speaker 1: the people are out there marching and he has to 908 00:52:32,360 --> 00:52:35,480 Speaker 1: placate them. So I think that I think Joe Biden's 909 00:52:35,520 --> 00:52:37,359 Speaker 1: not left or right. I think Joe Biden is wherever 910 00:52:37,600 --> 00:52:39,560 Speaker 1: he thinks the Democratic Party is. It's been that way 911 00:52:39,560 --> 00:52:41,960 Speaker 1: his whole life, in from nineteen seventy three when he 912 00:52:42,080 --> 00:52:45,160 Speaker 1: was posing up to segregationist to now. But I think 913 00:52:45,239 --> 00:52:48,640 Speaker 1: that yeah, I mean, policy wise, it's it's it's incredible 914 00:52:48,760 --> 00:52:53,879 Speaker 1: the language they use, the racial identitarian sort of things 915 00:52:53,960 --> 00:52:57,439 Speaker 1: that he says, the anti gun rhetoric. You know, it's 916 00:52:57,480 --> 00:53:00,799 Speaker 1: just all far, far to the left. So I don't 917 00:53:00,840 --> 00:53:02,040 Speaker 1: know how that's going to work out for them in 918 00:53:02,080 --> 00:53:04,560 Speaker 1: the elections. But I mean, like this gun thing, what 919 00:53:04,719 --> 00:53:06,840 Speaker 1: was the point of that, just to rile upright wingers 920 00:53:06,840 --> 00:53:08,840 Speaker 1: and make yourself look even farther to the left. I 921 00:53:08,880 --> 00:53:11,000 Speaker 1: don't know. I don't know what they're doing. David Arsani, 922 00:53:11,040 --> 00:53:13,919 Speaker 1: everybody Nashalview dot com go check out his peace there 923 00:53:14,120 --> 00:53:17,399 Speaker 1: and David always a pleasure. Thank you, Buck. I think 924 00:53:17,440 --> 00:53:19,040 Speaker 1: that's right show, and I think that's part of what 925 00:53:19,880 --> 00:53:24,120 Speaker 1: is driving both the overwhelming bipartisan support in the country, 926 00:53:24,239 --> 00:53:26,840 Speaker 1: not Washington, and in the country for the COVID relief measures. 927 00:53:26,880 --> 00:53:29,560 Speaker 1: And for this infrastructure bill that the administration is trying 928 00:53:29,600 --> 00:53:32,160 Speaker 1: to push forward. So that's a big thing. A paradigm 929 00:53:32,280 --> 00:53:34,279 Speaker 1: kind of shipped. Maybe. I know you we've been talked 930 00:53:34,280 --> 00:53:36,840 Speaker 1: about this for several weeks here, you know, the Roosevelt 931 00:53:36,880 --> 00:53:38,959 Speaker 1: era to the Reagan era. Are we on the verge 932 00:53:38,960 --> 00:53:42,840 Speaker 1: of a new activist, progressive era? Lad in an unlikely 933 00:53:42,880 --> 00:53:45,160 Speaker 1: way by Joe Biden. I think that's not impossible. But 934 00:53:45,280 --> 00:53:47,800 Speaker 1: here's the problem with it when it comes to guns 935 00:53:48,480 --> 00:53:51,880 Speaker 1: is the guns have become largely a cultural issue and 936 00:53:52,080 --> 00:53:55,800 Speaker 1: not so much an issue about economics. Guns are definitely 937 00:53:55,960 --> 00:53:59,279 Speaker 1: a cultural issue, and it's that the left has convinced 938 00:53:59,600 --> 00:54:03,439 Speaker 1: it's adherents that gun owners are bad people. They really 939 00:54:03,520 --> 00:54:06,719 Speaker 1: believe that. I mean, they actually have disdain for people, 940 00:54:07,200 --> 00:54:09,400 Speaker 1: the kind of people who own guns or the wrong 941 00:54:09,680 --> 00:54:13,200 Speaker 1: people you see in their minds. And I think that 942 00:54:13,280 --> 00:54:16,000 Speaker 1: we all need to remember that there's a there's a 943 00:54:16,120 --> 00:54:20,520 Speaker 1: sense of the gun owners of America, according to Democrats, 944 00:54:20,920 --> 00:54:24,760 Speaker 1: are the red you know, the red flyover state, people 945 00:54:25,239 --> 00:54:27,839 Speaker 1: who have who listen to the wrong kind of music, 946 00:54:27,880 --> 00:54:29,560 Speaker 1: eat the wrong kind of food, go to the wrong 947 00:54:29,640 --> 00:54:32,359 Speaker 1: kind of schools, and vote the wrong politicians and that's 948 00:54:32,960 --> 00:54:36,759 Speaker 1: it all gets wrapped in together here. But the talk 949 00:54:36,800 --> 00:54:41,600 Speaker 1: about Biden as a very progressive candidate now or progressive 950 00:54:41,640 --> 00:54:45,120 Speaker 1: president rather, is something that we shouldn't ignore. It's very real, 951 00:54:45,640 --> 00:54:48,560 Speaker 1: and we do have what's going on right now with 952 00:54:49,360 --> 00:54:56,200 Speaker 1: the Biden administration unveiling before us a commission, a commission 953 00:54:56,320 --> 00:55:00,719 Speaker 1: to take a look at court packing. Folks, if you're 954 00:55:00,760 --> 00:55:04,120 Speaker 1: wondering how extreme they're willing to be, this is the 955 00:55:04,160 --> 00:55:07,279 Speaker 1: New York Times. Biden creating commission to study expanding the 956 00:55:07,360 --> 00:55:10,800 Speaker 1: Supreme Court. They're really doing this, They're really going to 957 00:55:10,880 --> 00:55:14,160 Speaker 1: try to push this. The commission will also examine other 958 00:55:14,239 --> 00:55:17,319 Speaker 1: potential changes, such as term limits for justices. Progressives are 959 00:55:17,360 --> 00:55:21,040 Speaker 1: pushing President Biden to add seats to balance the court's 960 00:55:21,200 --> 00:55:26,520 Speaker 1: conservative majority. President Biden on Friday will order a one 961 00:55:26,640 --> 00:55:28,600 Speaker 1: hundred and twenty days study of adding seats to the 962 00:55:28,640 --> 00:55:31,680 Speaker 1: Supreme Court, making good on a campaign year promise to 963 00:55:31,840 --> 00:55:36,880 Speaker 1: establish a bipartisan commission to examine the potentially explosive subjects 964 00:55:36,960 --> 00:55:40,440 Speaker 1: of expanding the court or setting term limits for justices. 965 00:55:40,440 --> 00:55:41,840 Speaker 1: As according to the White House and written in The 966 00:55:41,840 --> 00:55:45,359 Speaker 1: New York Times today, the President acted under pressure from 967 00:55:45,360 --> 00:55:49,120 Speaker 1: activists pushing for more seats to alter the ideological balance 968 00:55:49,160 --> 00:55:52,440 Speaker 1: of the court. After President Donald Trump appointed three justices, 969 00:55:52,680 --> 00:55:55,840 Speaker 1: including one to a seat that Republicans had blocked his predecessor, 970 00:55:55,880 --> 00:56:00,719 Speaker 1: Barack Obama from filing for filling rather for almost a year. 971 00:56:01,280 --> 00:56:04,319 Speaker 1: This is a reminder of something that is always true 972 00:56:04,320 --> 00:56:07,560 Speaker 1: about Democrats. When Democrats are out of power, anything in 973 00:56:07,600 --> 00:56:11,239 Speaker 1: the system that stops Republicans is sacred and must be protected. 974 00:56:11,680 --> 00:56:14,600 Speaker 1: When Democrats are in power, anything in the system that 975 00:56:14,719 --> 00:56:19,920 Speaker 1: stops them is racist or obstructionist and must be destroyed. 976 00:56:20,680 --> 00:56:24,160 Speaker 1: If you remember that, you'll understand so much of the 977 00:56:24,320 --> 00:56:27,120 Speaker 1: propaganda and demagoguery that comes out of the Democratic Party 978 00:56:27,160 --> 00:56:29,120 Speaker 1: on a regular basis. If you can just keep that 979 00:56:29,480 --> 00:56:34,120 Speaker 1: in mind, so much else will make sense. There's no 980 00:56:34,280 --> 00:56:38,239 Speaker 1: principle here, There's no shared value that we're looking at 981 00:56:38,280 --> 00:56:40,239 Speaker 1: when it comes to the Supreme Court. No, No, they 982 00:56:40,440 --> 00:56:44,880 Speaker 1: want an outcome. They don't respect process that does not 983 00:56:45,040 --> 00:56:48,440 Speaker 1: give them the outcome they demand, always and at all times. 984 00:56:49,360 --> 00:56:52,000 Speaker 1: You see this with everything, with elections, with the DOJ, 985 00:56:52,320 --> 00:56:57,000 Speaker 1: with the court system, everything. Democrats don't get the political 986 00:56:57,080 --> 00:57:00,799 Speaker 1: outcome they want, they trash the system and minded they 987 00:57:00,920 --> 00:57:04,040 Speaker 1: get the political outcome they want. It is sacred, it 988 00:57:04,200 --> 00:57:07,279 Speaker 1: is not to be touched. And anyone who who even 989 00:57:07,719 --> 00:57:11,360 Speaker 1: brings up criticism of the way the institution is functioning 990 00:57:11,960 --> 00:57:15,120 Speaker 1: is undermining our institutions at our democracy, That's what they say. 991 00:57:16,280 --> 00:57:18,840 Speaker 1: Very difficult to argue with people who have no principles, 992 00:57:19,280 --> 00:57:21,880 Speaker 1: but that's what we're constantly forced to do with the 993 00:57:22,040 --> 00:57:24,960 Speaker 1: progressive left in America today all the time. It's very 994 00:57:25,040 --> 00:57:27,000 Speaker 1: hard to have a conversation with people who have no 995 00:57:27,120 --> 00:57:31,600 Speaker 1: moral core about moral issues, obviously is very important these days. 996 00:57:31,720 --> 00:57:35,240 Speaker 1: Taking care of your tech really matters. We all see 997 00:57:35,280 --> 00:57:38,520 Speaker 1: this now with the whole hundred Biden laptop situation, right. 998 00:57:38,560 --> 00:57:42,040 Speaker 1: I mean, what you're doing online and what exists on 999 00:57:42,120 --> 00:57:45,800 Speaker 1: your devices that can really come back to bite you. 1000 00:57:46,400 --> 00:57:49,240 Speaker 1: And that's if obviously you're somebody who's doing all kinds 1001 00:57:49,240 --> 00:57:52,439 Speaker 1: of crazy illegal stuff like Hunter Biden was, but also 1002 00:57:52,560 --> 00:57:55,440 Speaker 1: for the rest of us, your politics becomes a problem. 1003 00:57:55,640 --> 00:57:58,160 Speaker 1: That's what everyone's seeing now. I think I think everyone's 1004 00:57:58,200 --> 00:58:01,640 Speaker 1: becoming more aware of the fact that if you're a conservative, 1005 00:58:02,240 --> 00:58:05,200 Speaker 1: you simply cannot trust big tech. You know. They took 1006 00:58:05,280 --> 00:58:08,560 Speaker 1: down a Ron DeSantis YouTube video where he had a 1007 00:58:08,680 --> 00:58:12,160 Speaker 1: round table of top health experts talking about how lockdowns 1008 00:58:12,200 --> 00:58:14,560 Speaker 1: have failed. YouTube just took it down. They said, not 1009 00:58:14,720 --> 00:58:18,080 Speaker 1: in line with the consensus on mask wearing in lockdowns. 1010 00:58:18,360 --> 00:58:21,840 Speaker 1: Not in line with the consensus. Oh I'm sorry, So 1011 00:58:21,960 --> 00:58:28,160 Speaker 1: now the YouTube standards folks are health experts. Really, something 1012 00:58:28,200 --> 00:58:30,440 Speaker 1: else is going on here and they've shut me down too. 1013 00:58:30,480 --> 00:58:32,080 Speaker 1: They come after me in the past, as you know. 1014 00:58:32,560 --> 00:58:35,240 Speaker 1: But you can take action to protect your privacy online. 1015 00:58:35,560 --> 00:58:39,040 Speaker 1: You can anonymize your internet connection, surf the web freely 1016 00:58:39,120 --> 00:58:41,000 Speaker 1: without wondering who's going to get a hold of your 1017 00:58:41,040 --> 00:58:43,320 Speaker 1: search history or viewing habits or what they'll do with 1018 00:58:43,400 --> 00:58:46,000 Speaker 1: that information. I mean, do you really want the government 1019 00:58:46,160 --> 00:58:48,840 Speaker 1: or big tech to be reading over your shoulder everything 1020 00:58:48,920 --> 00:58:52,080 Speaker 1: you do online? Exactly. There's never been a more important 1021 00:58:52,120 --> 00:58:54,680 Speaker 1: time than now to protect your Internet activity. That's why 1022 00:58:54,720 --> 00:58:58,160 Speaker 1: I urge you to get Express VPN. When I use 1023 00:58:58,240 --> 00:59:00,800 Speaker 1: Express VPN, the big tech company he's can't see my 1024 00:59:00,920 --> 00:59:04,840 Speaker 1: IP address at all, my identity. My identity is anonymized 1025 00:59:04,880 --> 00:59:07,800 Speaker 1: by a secure VPN server and my data is encrypted 1026 00:59:07,880 --> 00:59:11,360 Speaker 1: for maximum protection. Stop handing over your data to big 1027 00:59:11,400 --> 00:59:14,439 Speaker 1: tech companies now and to the government. Defend your rights 1028 00:59:14,480 --> 00:59:17,720 Speaker 1: with the VPN I trust for online protection. Is it 1029 00:59:17,800 --> 00:59:22,400 Speaker 1: express vpn dot com slash buck. That's Express vpn dot 1030 00:59:22,480 --> 00:59:25,480 Speaker 1: com slash buck. To get three extra months free, go 1031 00:59:25,600 --> 00:59:29,040 Speaker 1: to Express vpn dot com slash buck right now to 1032 00:59:29,200 --> 00:59:32,120 Speaker 1: learn more. Does it make you crazy when you hear 1033 00:59:32,240 --> 00:59:35,600 Speaker 1: someone like Donald Trump Junior saying that the only reason 1034 00:59:35,720 --> 00:59:39,160 Speaker 1: he does is because he's a Biden and because of 1035 00:59:39,240 --> 00:59:43,000 Speaker 1: his last name, And how just wildly comical that is? 1036 00:59:43,080 --> 00:59:46,400 Speaker 1: I mean, because it is wildly comical? Is that that's 1037 00:59:46,440 --> 00:59:50,120 Speaker 1: putting it lightly? I think? But but you know, I 1038 00:59:50,280 --> 00:59:53,120 Speaker 1: really what I've learned is this is that I don't 1039 00:59:53,200 --> 00:59:55,560 Speaker 1: spend too much time thinking about I do. I think 1040 00:59:55,560 --> 00:59:58,840 Speaker 1: about it all the time. I'll think about it for you. Well, 1041 00:59:59,160 --> 01:00:01,200 Speaker 1: maybe that's why, because I have other people to think 1042 01:00:01,200 --> 01:00:05,320 Speaker 1: about it for about it? Do you know Donald Trump Junior? No, 1043 01:00:05,720 --> 01:00:07,400 Speaker 1: you've never met him now, not that I know of, 1044 01:00:07,600 --> 01:00:11,000 Speaker 1: Not that I know you say that. I know, pretty 1045 01:00:11,120 --> 01:00:17,880 Speaker 1: pretty rough place. Yeah. Um, so here we go, here 1046 01:00:17,960 --> 01:00:21,280 Speaker 1: we go. Now, now we're gonna have the media saying 1047 01:00:22,200 --> 01:00:25,240 Speaker 1: that Hunter Biden is not that you know it. Look, 1048 01:00:25,600 --> 01:00:28,200 Speaker 1: Jimmy Kimmel, isn't this amazing? You get you get these comedians, 1049 01:00:28,320 --> 01:00:31,080 Speaker 1: You get these guys who are supposed to be making 1050 01:00:31,120 --> 01:00:36,360 Speaker 1: people laugh. But what you really see is that they're 1051 01:00:36,520 --> 01:00:40,520 Speaker 1: political actors who also make some jokes. What you see 1052 01:00:40,680 --> 01:00:45,360 Speaker 1: is that they're they're serving to to aid the propaganda 1053 01:00:45,400 --> 01:00:47,920 Speaker 1: purposes of the Democrat Party. That's what Jimmy Kimmel does. 1054 01:00:48,640 --> 01:00:51,480 Speaker 1: And that's why when you have Hunter Biden in this way, 1055 01:00:51,560 --> 01:00:55,000 Speaker 1: you have Hunter Biden, uh getting you know, he's laughing 1056 01:00:55,080 --> 01:00:59,440 Speaker 1: and he's fine. If you see the stuff that is 1057 01:00:59,520 --> 01:01:02,800 Speaker 1: out from the laptop now, I mean Andrew Biden, it's 1058 01:01:03,160 --> 01:01:08,439 Speaker 1: really disturbing. I mean, he's he's got multiple prostitutes. He's 1059 01:01:08,480 --> 01:01:13,160 Speaker 1: making videos with prostitutes. They're you know, on top of 1060 01:01:13,280 --> 01:01:15,240 Speaker 1: him naked. I mean it's like, you know, this is 1061 01:01:15,360 --> 01:01:18,439 Speaker 1: not stuff for anybody, you know, any of anyone under 1062 01:01:18,480 --> 01:01:20,400 Speaker 1: eighteen to be seeing that. They're blurring it out in 1063 01:01:20,480 --> 01:01:24,640 Speaker 1: the media outlets, but you know, uh, this is just crazy, 1064 01:01:25,600 --> 01:01:27,160 Speaker 1: right when you see what's going on with him, you 1065 01:01:27,200 --> 01:01:29,840 Speaker 1: see what a bad guy he actually is and the 1066 01:01:29,920 --> 01:01:32,880 Speaker 1: things he's doing. I mean, it's just all gross and 1067 01:01:33,000 --> 01:01:35,040 Speaker 1: it's degrading and it's wrong. And then of course there's 1068 01:01:35,040 --> 01:01:36,880 Speaker 1: also the stuff where you just get him. I think 1069 01:01:36,920 --> 01:01:39,480 Speaker 1: he's a he's in a feathered boa in one photo 1070 01:01:40,440 --> 01:01:45,400 Speaker 1: in Tidy Whitey's. You know he's in He's in a 1071 01:01:45,680 --> 01:01:48,800 Speaker 1: very scale I look, I I'm just reading the news, folks. 1072 01:01:48,840 --> 01:01:51,920 Speaker 1: This is what's out there. This guy's taking these photos. 1073 01:01:51,960 --> 01:01:55,960 Speaker 1: I mean, he's like fifty years old. What is he doing. 1074 01:01:57,240 --> 01:01:59,760 Speaker 1: I mean, he's got alimony payments he's gotta make and 1075 01:02:00,320 --> 01:02:03,560 Speaker 1: and he's going to compare himself to Don Trump Junior, 1076 01:02:05,040 --> 01:02:10,080 Speaker 1: Donald Trump Junior. Is it a whole different category of 1077 01:02:10,240 --> 01:02:14,520 Speaker 1: responsible human being compared Hunter Biden? But oh yeah, they're 1078 01:02:14,520 --> 01:02:17,320 Speaker 1: gonna make jokes about that. Oh nepotism or whatever. Yeah, Look, 1079 01:02:17,720 --> 01:02:20,040 Speaker 1: there is nepotism in the Trump family. There's no question 1080 01:02:20,120 --> 01:02:23,520 Speaker 1: about that. I don't live in some delusion, but there's 1081 01:02:24,400 --> 01:02:26,760 Speaker 1: nepotism in the Trump family where you have you know, 1082 01:02:27,520 --> 01:02:30,680 Speaker 1: Don Junior and Ivanka and you know, graduating from Ivy 1083 01:02:30,760 --> 01:02:35,520 Speaker 1: League schools and presenting well and speaking well and working 1084 01:02:35,560 --> 01:02:38,240 Speaker 1: in companies that, yes that they work for their father's company, 1085 01:02:38,320 --> 01:02:40,760 Speaker 1: but they can at least talk to talk, walk the walk. 1086 01:02:40,840 --> 01:02:42,880 Speaker 1: I mean, Don Junior gives a good speech, he's good 1087 01:02:42,920 --> 01:02:46,000 Speaker 1: on his feet, you know. And I hate nepotism and 1088 01:02:46,160 --> 01:02:48,760 Speaker 1: politics money, but nepotism in the private sector is just 1089 01:02:48,840 --> 01:02:51,400 Speaker 1: a reality. You know, somebody who starts a company is 1090 01:02:51,400 --> 01:02:53,080 Speaker 1: gonna want to give it to his children. That that's 1091 01:02:53,120 --> 01:02:55,880 Speaker 1: just the way it works. It's property, that's how it happens. 1092 01:02:57,040 --> 01:02:59,160 Speaker 1: But to compare this with a Hunter Biden, but hundred 1093 01:02:59,160 --> 01:03:05,240 Speaker 1: Biden was getting a fifty thousand dollars a month, fifty 1094 01:03:05,320 --> 01:03:10,720 Speaker 1: thousand dollars a month to be on the board of Barisma, 1095 01:03:11,960 --> 01:03:14,400 Speaker 1: And now we see these photos. I wouldn't pay this 1096 01:03:14,480 --> 01:03:17,840 Speaker 1: guy five dollars a year to advise me on a 1097 01:03:17,920 --> 01:03:21,360 Speaker 1: hot dog stand. The only reason he was getting that 1098 01:03:21,440 --> 01:03:25,160 Speaker 1: money was because of his of his dad, and we 1099 01:03:25,280 --> 01:03:27,400 Speaker 1: all know it. His dad was the vice president too. 1100 01:03:27,560 --> 01:03:30,160 Speaker 1: So it's it's something that affects all of us in 1101 01:03:30,240 --> 01:03:35,480 Speaker 1: the sense that he's a a public official, a powerful 1102 01:03:35,520 --> 01:03:40,920 Speaker 1: public official at the time, and here he is talking 1103 01:03:40,960 --> 01:03:44,480 Speaker 1: about how you know he's actually he was qualified. You know, Oh, 1104 01:03:44,560 --> 01:03:46,160 Speaker 1: I know A hundred Biden went to Yale, right. I mean, 1105 01:03:46,240 --> 01:03:48,760 Speaker 1: this is the truth when you're when you're a Democrat politician. 1106 01:03:48,800 --> 01:03:51,040 Speaker 1: Because I did say before they went to everything schools. Look, 1107 01:03:51,040 --> 01:03:52,880 Speaker 1: I knew Ivanka growing up a little bit. She was 1108 01:03:52,920 --> 01:03:55,960 Speaker 1: a good student, she was smart. Everybody knew. It wasn't 1109 01:03:55,960 --> 01:03:58,280 Speaker 1: a great student. I mean, like I was a better student, obviously, 1110 01:03:58,360 --> 01:04:00,200 Speaker 1: but I'm just saying she was. She was a fair 1111 01:04:00,800 --> 01:04:02,480 Speaker 1: a B plus kind of student. She's a pretty good 1112 01:04:02,480 --> 01:04:06,600 Speaker 1: student at good schools. And h you know Andrew Biden, 1113 01:04:06,760 --> 01:04:11,360 Speaker 1: his guys clearly just a total, a total waste roll. 1114 01:04:12,400 --> 01:04:14,479 Speaker 1: But he says, oh no, he got his board spot. 1115 01:04:14,560 --> 01:04:17,320 Speaker 1: Here's why I play five. You wrote in the book, 1116 01:04:17,440 --> 01:04:20,520 Speaker 1: use I do want to talk about this, you know, 1117 01:04:20,760 --> 01:04:24,920 Speaker 1: the Ukraine and or Ukraine and and it became some 1118 01:04:25,360 --> 01:04:28,240 Speaker 1: an issue, it became something. It gave Donald Trump something 1119 01:04:28,320 --> 01:04:30,920 Speaker 1: to grab onto. He almost got well, he did get 1120 01:04:30,960 --> 01:04:34,240 Speaker 1: impeached as a result of it. But you wrote, did 1121 01:04:34,320 --> 01:04:36,200 Speaker 1: I make a mistake by taking a seat on the 1122 01:04:36,240 --> 01:04:39,600 Speaker 1: board of the Ukrainian Gas Company? No? Did I display 1123 01:04:39,600 --> 01:04:43,800 Speaker 1: a lack of judgment? No? Would I do it again? No? Yeah, 1124 01:04:44,200 --> 01:04:46,280 Speaker 1: and I met what I said. I meant. What I 1125 01:04:46,360 --> 01:04:49,840 Speaker 1: wrote is that, uh, you know, go to the beginning. 1126 01:04:50,080 --> 01:04:52,320 Speaker 1: Is that you know I went to Yale Law School. Um. 1127 01:04:52,720 --> 01:04:56,560 Speaker 1: I served on at least a dozen boards before Breezema. 1128 01:04:56,680 --> 01:04:59,280 Speaker 1: I was a vice chamber of the board of Amtrak. 1129 01:05:00,160 --> 01:05:02,360 Speaker 1: I was a chairman of the board of a World 1130 01:05:02,440 --> 01:05:06,920 Speaker 1: Food Program, US largest supporting the largest humanitarian organization in 1131 01:05:07,000 --> 01:05:10,240 Speaker 1: the world. I had an expertise in corporate governance. I 1132 01:05:10,320 --> 01:05:12,440 Speaker 1: was asked to serve on the board for corporate governance, 1133 01:05:12,760 --> 01:05:15,440 Speaker 1: and I was a lawyer at boy Schiller and Flexner, 1134 01:05:15,760 --> 01:05:18,880 Speaker 1: which was how I was first approached. However, what I 1135 01:05:18,960 --> 01:05:22,360 Speaker 1: didn't take into account was the way in which they 1136 01:05:22,400 --> 01:05:26,160 Speaker 1: would use the perception against my dad, and for that 1137 01:05:26,520 --> 01:05:31,680 Speaker 1: I wouldn't do it again. For that reason. Yeah, that's 1138 01:05:31,720 --> 01:05:33,960 Speaker 1: the only reason. It's because the perception thing, not because 1139 01:05:34,040 --> 01:05:36,320 Speaker 1: the whole thing is so absurd, not because it's so 1140 01:05:36,560 --> 01:05:42,560 Speaker 1: clear that this was the worst kind of nepotism, right. 1141 01:05:42,760 --> 01:05:45,520 Speaker 1: Nepotism that involves private companies and corporations is one thing. 1142 01:05:45,720 --> 01:05:50,600 Speaker 1: A nepotism that involves leveraging your familial ties to somebody 1143 01:05:50,720 --> 01:05:53,720 Speaker 1: in a high public office is a different thing when 1144 01:05:53,760 --> 01:05:57,640 Speaker 1: it involves a country like Ukraine, When it involves foreign 1145 01:05:58,280 --> 01:06:01,520 Speaker 1: countries and interests, I mean, this is a whole different level. 1146 01:06:01,600 --> 01:06:04,720 Speaker 1: But again, look at how dishonest the media is. Look 1147 01:06:04,840 --> 01:06:07,000 Speaker 1: look at what they're willing to do here to make 1148 01:06:07,040 --> 01:06:09,920 Speaker 1: it seem as though, oh yeah, it's all the same, 1149 01:06:09,960 --> 01:06:15,600 Speaker 1: you all. Hunter Biden is such a such a sympathetic guy. 1150 01:06:16,000 --> 01:06:18,880 Speaker 1: You know, maybe maybe we should just give him a break. Actually, 1151 01:06:18,880 --> 01:06:20,480 Speaker 1: he's kind of a likable guy. He's a good guy. 1152 01:06:20,640 --> 01:06:22,840 Speaker 1: This is somebody who impregnated as stripper and now says 1153 01:06:22,880 --> 01:06:26,280 Speaker 1: he doesn't even remember meeting her. This is somebody who's 1154 01:06:26,280 --> 01:06:29,800 Speaker 1: got photos of his meth mouth and photos of him 1155 01:06:29,840 --> 01:06:33,600 Speaker 1: with multiple prostitutes that he's paying to sleep with it. 1156 01:06:33,640 --> 01:06:38,800 Speaker 1: I mean, it's just disgusting. This is Joe Biden's son, 1157 01:06:39,120 --> 01:06:42,800 Speaker 1: the President's son, and the media makes him into a 1158 01:06:43,320 --> 01:06:46,400 Speaker 1: likable figure. I mean, it's one thing if he was 1159 01:06:46,440 --> 01:06:48,440 Speaker 1: going to go off and get treatment and you know, 1160 01:06:48,560 --> 01:06:51,280 Speaker 1: live a private life whatever. He's going on the talk 1161 01:06:51,320 --> 01:06:58,520 Speaker 1: show circuit. He's putting himself out there. I mean, it's unbelievable, unbelievable, 1162 01:06:58,560 --> 01:07:00,480 Speaker 1: but I guess it is believable. This is the way 1163 01:07:00,480 --> 01:07:03,320 Speaker 1: it happens. This is the the double standard of the 1164 01:07:03,480 --> 01:07:07,680 Speaker 1: left on display. And they just and the left wing 1165 01:07:07,800 --> 01:07:12,760 Speaker 1: media nothing, no truth matters to them. You know, he's 1166 01:07:12,800 --> 01:07:15,560 Speaker 1: on the team. He's on the team. Biden is their 1167 01:07:15,640 --> 01:07:18,040 Speaker 1: guy now, and anybody that's affiliated with Biden is on 1168 01:07:18,080 --> 01:07:19,840 Speaker 1: the team, and they'll protect them and they'll do all 1169 01:07:19,880 --> 01:07:26,680 Speaker 1: that kind of stuff. So it's a really stunning situation, 1170 01:07:26,840 --> 01:07:32,120 Speaker 1: isn't it. Yeah, Hunter Biden, anyone who says the laptop 1171 01:07:32,280 --> 01:07:34,480 Speaker 1: is not real is either a liar or a moron. 1172 01:07:34,760 --> 01:07:36,760 Speaker 1: You know, the laptop wasn't Hunter Biden's, I should say, 1173 01:07:36,760 --> 01:07:41,919 Speaker 1: any any who claims that it's laughable. And yet many 1174 01:07:42,040 --> 01:07:44,120 Speaker 1: big voices in the media have been saying that all along, 1175 01:07:44,160 --> 01:07:47,360 Speaker 1: They've they've been making that a part of this. They've 1176 01:07:47,360 --> 01:07:51,000 Speaker 1: been acting like maybe, maybe, just maybe it is in 1177 01:07:51,160 --> 01:07:56,200 Speaker 1: fact the case that this was Russian disinformation. In fact, 1178 01:07:56,280 --> 01:08:03,560 Speaker 1: I'm I'm still upset about how former intelligence officers very 1179 01:08:03,680 --> 01:08:08,000 Speaker 1: much debased themselves. And I'm talking about big names in 1180 01:08:08,080 --> 01:08:12,520 Speaker 1: the intel community Clapper and Brannan and I think Hayden 1181 01:08:12,840 --> 01:08:16,120 Speaker 1: and Panetta, they all signed that letter right before the 1182 01:08:16,200 --> 01:08:20,880 Speaker 1: election about how it was Russian disinformation. It absolutely was 1183 01:08:20,920 --> 01:08:24,559 Speaker 1: not Russian disinformation. That was a lie. So these people 1184 01:08:24,600 --> 01:08:26,599 Speaker 1: are either liars or they're idiots. I mean, it's gone 1185 01:08:26,600 --> 01:08:28,920 Speaker 1: to the point I've been saying this where for me 1186 01:08:29,240 --> 01:08:32,280 Speaker 1: being you know, XCIA myself, although only for a few years. 1187 01:08:32,320 --> 01:08:34,040 Speaker 1: I look, I joined the CIA to help find bin 1188 01:08:34,120 --> 01:08:38,040 Speaker 1: Laden and some of his some of his co conspirators, 1189 01:08:38,040 --> 01:08:40,560 Speaker 1: some of the bad guys and I realized what the 1190 01:08:40,600 --> 01:08:42,840 Speaker 1: federal government was really like after about four or five 1191 01:08:42,960 --> 01:08:45,080 Speaker 1: years and decided that, you know, I want to go 1192 01:08:45,160 --> 01:08:47,639 Speaker 1: to other things. Quite honestly, that was what ended up happening. 1193 01:08:47,720 --> 01:08:52,080 Speaker 1: So I'm not some CIA careerist, but it's gone to 1194 01:08:52,080 --> 01:08:53,800 Speaker 1: the point now where I feel like we're having worked 1195 01:08:53,840 --> 01:08:57,519 Speaker 1: in the intelligence community. The CIA is now like somebody 1196 01:08:57,600 --> 01:09:00,640 Speaker 1: having worked at Enron in the mid tooth thousands, you know, 1197 01:09:00,680 --> 01:09:03,320 Speaker 1: early two thousands, where yeah, I don't I don't think 1198 01:09:03,360 --> 01:09:05,760 Speaker 1: you want to want to brag about that one, you know, Oh, 1199 01:09:06,160 --> 01:09:10,960 Speaker 1: CIA guy, I don't know. The brand is very damage. 1200 01:09:11,000 --> 01:09:12,559 Speaker 1: I mean, yeah, I learned a lot of stuff there. 1201 01:09:12,640 --> 01:09:15,559 Speaker 1: I know things that are useful, particularly no things about 1202 01:09:15,640 --> 01:09:18,519 Speaker 1: the truth of the intelligence community. But man, the brand, 1203 01:09:18,560 --> 01:09:21,960 Speaker 1: it's just like people I know work the FBI. James Coomy, 1204 01:09:22,080 --> 01:09:26,120 Speaker 1: Oh my gosh, the FBI is never gonna be the 1205 01:09:26,240 --> 01:09:29,599 Speaker 1: same at least for a generation or two. Now people 1206 01:09:29,600 --> 01:09:31,760 Speaker 1: are going to realize, oh, it can be run by 1207 01:09:32,439 --> 01:09:36,280 Speaker 1: partisan hacks who do injustice in the name of justice 1208 01:09:36,840 --> 01:09:39,360 Speaker 1: and who are really just hatchetmen for the Democrat Party, 1209 01:09:39,439 --> 01:09:42,200 Speaker 1: and they can run the FBI as James Comey did. 1210 01:09:44,360 --> 01:09:47,080 Speaker 1: This is this is the country we're living in now. 1211 01:09:47,200 --> 01:09:51,200 Speaker 1: It's it's concerning, but this is where we are and 1212 01:09:51,320 --> 01:09:53,240 Speaker 1: this is what we are continuing to deal with. Yeah, 1213 01:09:53,280 --> 01:09:57,920 Speaker 1: the Russian disinformation. Think about how elaborate that plot would 1214 01:09:57,960 --> 01:09:59,800 Speaker 1: have to be. I mean, that's really the best the 1215 01:10:00,040 --> 01:10:04,439 Speaker 1: Jus could do. First of all, the Russia conspiracy theories 1216 01:10:05,280 --> 01:10:10,120 Speaker 1: from the Trump era used against Trump are so outlandish 1217 01:10:10,479 --> 01:10:12,880 Speaker 1: that now it's really hard. It's really challenging to think 1218 01:10:12,960 --> 01:10:17,599 Speaker 1: of something that's too crazy or stupid for Democrats to believe. Right, 1219 01:10:17,680 --> 01:10:20,479 Speaker 1: what is beyond the pale for them? What's it? And 1220 01:10:20,640 --> 01:10:24,880 Speaker 1: we see it with the return of this Russia mindset, 1221 01:10:25,280 --> 01:10:30,360 Speaker 1: Russia with the laptop which was clearly Hunter Biden's. And 1222 01:10:30,400 --> 01:10:31,880 Speaker 1: if you see the photos, you see what's going on. 1223 01:10:32,960 --> 01:10:36,719 Speaker 1: Like I said, you know, what is to say about 1224 01:10:36,800 --> 01:10:40,320 Speaker 1: Joe Biden's parenting skills? Are we allowed to ask that question? 1225 01:10:40,520 --> 01:10:43,479 Speaker 1: Is that not? Now? I know he's the president, he's 1226 01:10:43,479 --> 01:10:45,280 Speaker 1: not the parent in chief, but he kind of poses 1227 01:10:45,320 --> 01:10:50,000 Speaker 1: like he's America's grandpa. And what a mess this guy 1228 01:10:50,120 --> 01:10:51,960 Speaker 1: Hunter Biden is. And I'm not just talking about the 1229 01:10:52,000 --> 01:10:53,479 Speaker 1: drug abuse and a lot of people can get caught 1230 01:10:53,560 --> 01:10:55,240 Speaker 1: up in drugs and it's a sickness and it's it's 1231 01:10:55,400 --> 01:10:57,040 Speaker 1: you know, I do have a lot of sympathy for that. 1232 01:10:58,000 --> 01:11:00,360 Speaker 1: But there's a difference in being a drug addict and 1233 01:11:00,479 --> 01:11:03,200 Speaker 1: being a drug addict who flaunts it and makes money 1234 01:11:03,720 --> 01:11:06,680 Speaker 1: off of your affiliation with your family in ways that 1235 01:11:06,760 --> 01:11:10,360 Speaker 1: are corrupt and gross and is paying off prostitutes too. 1236 01:11:10,439 --> 01:11:13,360 Speaker 1: What a time and making videos of it and taking 1237 01:11:13,400 --> 01:11:17,000 Speaker 1: photos of yourself basically naked and smoking crack. I mean, 1238 01:11:17,240 --> 01:11:20,439 Speaker 1: what a just what a disaster this guy's but yeah 1239 01:11:20,479 --> 01:11:24,000 Speaker 1: on Jimmy Kimmel Show. Hahaha. It's also funny. They're all 1240 01:11:24,040 --> 01:11:26,680 Speaker 1: such good buddies and friends and everything else. Sure, you know, 1241 01:11:26,760 --> 01:11:29,439 Speaker 1: because must be good to be a democrat. This is 1242 01:11:29,560 --> 01:11:32,560 Speaker 1: something that you know. It does cross my mind. It 1243 01:11:32,640 --> 01:11:36,640 Speaker 1: must must be a really special, privileged thing to be 1244 01:11:36,760 --> 01:11:42,360 Speaker 1: able to be a democrat who can always always count 1245 01:11:42,400 --> 01:11:44,840 Speaker 1: on the media to catch your back, always always be 1246 01:11:45,080 --> 01:11:48,240 Speaker 1: there to take care of you in one way or another, 1247 01:11:48,320 --> 01:11:50,160 Speaker 1: as long as you're as long as you're important to 1248 01:11:50,200 --> 01:11:54,920 Speaker 1: the cause. Think about walking around with that kind of protection, 1249 01:11:55,160 --> 01:11:58,280 Speaker 1: no matter how much of a scumbag you are. It 1250 01:11:58,400 --> 01:12:01,360 Speaker 1: must be a remarkable thing to be a famous democrat 1251 01:12:01,400 --> 01:12:05,080 Speaker 1: in America today, we have this under control. And what 1252 01:12:05,200 --> 01:12:07,960 Speaker 1: the Biden administration has done is very deliberate. So we're 1253 01:12:07,960 --> 01:12:09,800 Speaker 1: all ringing our hands because Kamala won't go down to 1254 01:12:09,880 --> 01:12:12,000 Speaker 1: the border. Well let's say she does. Let's say my 1255 01:12:12,160 --> 01:12:15,000 Speaker 1: orchist does. So what they don't want to change this? 1256 01:12:15,200 --> 01:12:18,240 Speaker 1: This is very deliberate. They took very willful steps to 1257 01:12:18,360 --> 01:12:21,439 Speaker 1: reverse Trump administration policies or remain in Mexico policy, to 1258 01:12:21,520 --> 01:12:24,840 Speaker 1: silent cooperation agreements, stopped building the wall, and maybe more 1259 01:12:24,880 --> 01:12:28,080 Speaker 1: importantly than all about send a signal to people that 1260 01:12:28,160 --> 01:12:33,240 Speaker 1: they're welcome here. This is important for everyone to know 1261 01:12:34,439 --> 01:12:38,680 Speaker 1: because because Crenshaw actually gets what's happening, he understands this 1262 01:12:38,800 --> 01:12:43,599 Speaker 1: dynamic too. The Democrats weep, we keep assuming, or there's 1263 01:12:43,600 --> 01:12:47,560 Speaker 1: this mindset of, oh, the crisis at the border is 1264 01:12:47,680 --> 01:12:50,520 Speaker 1: that we have so many people coming into the country illegally. 1265 01:12:51,520 --> 01:12:54,600 Speaker 1: That's not what Democrats think the crisis at the border is. 1266 01:12:55,720 --> 01:13:00,840 Speaker 1: They view it as a problem of whether or not 1267 01:13:01,000 --> 01:13:04,080 Speaker 1: the people can be processed quickly and efficiently enough and 1268 01:13:04,160 --> 01:13:07,439 Speaker 1: be kept comfortable as they're led into the country. What 1269 01:13:07,560 --> 01:13:10,040 Speaker 1: do we think Kamala is going to do if she 1270 01:13:10,160 --> 01:13:11,840 Speaker 1: does go down to the border. I mean, we know, 1271 01:13:12,000 --> 01:13:15,040 Speaker 1: of course very little. But I mean, just what do 1272 01:13:15,120 --> 01:13:17,920 Speaker 1: they think. They're going to talk about more resources. They're 1273 01:13:17,960 --> 01:13:21,040 Speaker 1: going to talk about more people down there to process 1274 01:13:21,200 --> 01:13:25,120 Speaker 1: the intake of those who cross illegally into the country. 1275 01:13:26,400 --> 01:13:29,840 Speaker 1: But think about this for a moment. That just means 1276 01:13:29,920 --> 01:13:33,439 Speaker 1: then more people will want to come. They're actually we're 1277 01:13:33,520 --> 01:13:36,280 Speaker 1: working at cross purposes with the Democrats on this, or 1278 01:13:36,360 --> 01:13:40,320 Speaker 1: rather we're thinking about this atros cross purposes with the Democrats. 1279 01:13:40,960 --> 01:13:44,439 Speaker 1: Their view of all of this is that they would 1280 01:13:44,520 --> 01:13:50,240 Speaker 1: like a better, more efficient entry process for the hundreds 1281 01:13:50,280 --> 01:13:55,120 Speaker 1: of thousands of mostly Central American migrants who cross illegally 1282 01:13:55,240 --> 01:13:57,479 Speaker 1: and then want to stay here. They want that process 1283 01:13:57,520 --> 01:14:02,920 Speaker 1: to be smoother. We want this to stop, but for 1284 01:14:03,120 --> 01:14:05,760 Speaker 1: it to stop, there has to be a change in 1285 01:14:05,840 --> 01:14:08,960 Speaker 1: the incentive structure. And they're not going to change the 1286 01:14:09,000 --> 01:14:13,080 Speaker 1: incentive structure because that would mean turning people away. In fact, 1287 01:14:13,280 --> 01:14:15,600 Speaker 1: as I've said, they're making this easier. They're making it 1288 01:14:15,840 --> 01:14:19,920 Speaker 1: more likely for people, more likely for people to want 1289 01:14:19,960 --> 01:14:22,439 Speaker 1: to come, because they'll say, oh, well, now I know 1290 01:14:22,800 --> 01:14:26,200 Speaker 1: that if if I send my children to cross the border, 1291 01:14:26,200 --> 01:14:28,120 Speaker 1: if I send my kid to cross the border illegally, 1292 01:14:28,200 --> 01:14:30,680 Speaker 1: he or she will be well taken care of in 1293 01:14:30,760 --> 01:14:33,519 Speaker 1: a very nice facility and allowed to stay for sure 1294 01:14:33,680 --> 01:14:36,479 Speaker 1: and get schooling and healthcare and everything and be placed. 1295 01:14:36,560 --> 01:14:41,400 Speaker 1: And why are more people going to come? Why isn't 1296 01:14:41,439 --> 01:14:44,960 Speaker 1: that going to result in even more illegal crossing? This 1297 01:14:45,200 --> 01:14:48,360 Speaker 1: is why the problem is only going to get only 1298 01:14:48,439 --> 01:14:51,080 Speaker 1: going to get worse. And as I'm getting ready myself 1299 01:14:51,120 --> 01:14:52,759 Speaker 1: to head down to the border, you know now there 1300 01:14:53,040 --> 01:14:57,640 Speaker 1: are people who are making videos of them. Members of 1301 01:14:57,680 --> 01:14:59,439 Speaker 1: Congress have made videos where they're just standing there and 1302 01:14:59,479 --> 01:15:03,639 Speaker 1: there's just just people walking. And this happens particularly at nighttime, 1303 01:15:03,720 --> 01:15:07,320 Speaker 1: just walking across the border in large numbers, large numbers 1304 01:15:07,360 --> 01:15:10,160 Speaker 1: of them. But don't call it an open border, they say, oh, 1305 01:15:10,240 --> 01:15:15,200 Speaker 1: it's not open. Yeah, it's so secure that hundreds of 1306 01:15:15,240 --> 01:15:17,160 Speaker 1: people at a time, in different places all over the 1307 01:15:17,280 --> 01:15:19,960 Speaker 1: US Mexico border are just going to walk into the country. 1308 01:15:20,960 --> 01:15:23,400 Speaker 1: That is. That's where we are right now, That's where 1309 01:15:23,520 --> 01:15:27,200 Speaker 1: this is. And I just I gotta tell you, it's 1310 01:15:29,760 --> 01:15:33,400 Speaker 1: it's amazing to see how the Democrats have no way 1311 01:15:33,439 --> 01:15:36,799 Speaker 1: of explaining this to people other than to just focus 1312 01:15:36,880 --> 01:15:41,320 Speaker 1: on the humanitarian and emotional impulses around the issue while 1313 01:15:41,360 --> 01:15:44,160 Speaker 1: not dealing with the fundamental fact that as long as 1314 01:15:44,200 --> 01:15:47,720 Speaker 1: people can come into the United States illegally and are 1315 01:15:47,840 --> 01:15:51,240 Speaker 1: likely to stay under comfortable in the whole process, they're 1316 01:15:51,400 --> 01:15:56,920 Speaker 1: going to keep doing this. It's not going to stop, 1317 01:15:57,560 --> 01:15:59,840 Speaker 1: and in fact, it's going to escalate. They'll be even 1318 01:16:00,120 --> 01:16:04,240 Speaker 1: more of this. So I don't know where there goes. 1319 01:16:04,280 --> 01:16:05,840 Speaker 1: I mean, it'll drop down a bit in the summer 1320 01:16:05,840 --> 01:16:08,880 Speaker 1: because it gets so hot that it becomes dangerous and 1321 01:16:08,960 --> 01:16:11,839 Speaker 1: just uncomfortable for people to try to cross into America 1322 01:16:11,920 --> 01:16:15,400 Speaker 1: illegally on foot. But I don't know what happens beyond that, 1323 01:16:16,479 --> 01:16:19,439 Speaker 1: other than I think it's likely to continue and you'll 1324 01:16:19,520 --> 01:16:23,000 Speaker 1: have you'll have this going on for the first two 1325 01:16:23,120 --> 01:16:26,400 Speaker 1: years of the Biden administration. The only way this stops 1326 01:16:26,560 --> 01:16:30,760 Speaker 1: is if Democrats feel like it's a true crisis for 1327 01:16:30,960 --> 01:16:34,559 Speaker 1: their poll numbers, then they might have to do something. 1328 01:16:34,880 --> 01:16:38,160 Speaker 1: We talk a lot about online censorship these days. We 1329 01:16:38,280 --> 01:16:40,920 Speaker 1: have these discussions on this show about how people like 1330 01:16:41,080 --> 01:16:44,280 Speaker 1: me are being suppressed, being shut down. What can we 1331 01:16:44,320 --> 01:16:47,560 Speaker 1: actually do about this? We have to fight back effectively 1332 01:16:48,200 --> 01:16:52,320 Speaker 1: in the war against big tech suppression and censorship of 1333 01:16:52,439 --> 01:16:56,600 Speaker 1: conservative ideas. We've got somebody who knows very well exactly 1334 01:16:56,680 --> 01:16:59,920 Speaker 1: how we can do that now with us. Matt Needler, 1335 01:17:00,080 --> 01:17:04,519 Speaker 1: he is the CEO of Caucus Room dot Com. Caucus 1336 01:17:04,600 --> 01:17:07,240 Speaker 1: from dot Com is somebody that I work with as 1337 01:17:07,280 --> 01:17:09,439 Speaker 1: a sponsor. Or. We're very pleased to have hi, Matt On. Matt, 1338 01:17:09,479 --> 01:17:12,439 Speaker 1: thank you so much. Thanks for thanks for having me 1339 01:17:12,520 --> 01:17:15,479 Speaker 1: and thanks for supporting us. So tell me what we 1340 01:17:15,960 --> 01:17:21,120 Speaker 1: have heard recently from Supreme Court Justice Thomas that seems 1341 01:17:21,160 --> 01:17:24,519 Speaker 1: to be be sticking with people as as a beginning 1342 01:17:24,560 --> 01:17:27,400 Speaker 1: point for the conversation of how we can start to 1343 01:17:27,640 --> 01:17:31,760 Speaker 1: get rid of the big tech monopoly by treating it 1344 01:17:31,840 --> 01:17:34,280 Speaker 1: like monopoly. What do you see and tell us about 1345 01:17:34,320 --> 01:17:37,960 Speaker 1: what what Thomas says and how you see this moving forward. Yeah, 1346 01:17:38,080 --> 01:17:41,640 Speaker 1: I mean Justice Thomas really, uh, you know, kind of 1347 01:17:41,680 --> 01:17:43,720 Speaker 1: put a shot across the bow to the real big 1348 01:17:43,840 --> 01:17:48,560 Speaker 1: tech platforms, especially I think the app stores and Amazon, 1349 01:17:49,280 --> 01:17:51,360 Speaker 1: the folks that that took down Parlors. We know. A 1350 01:17:51,400 --> 01:17:56,600 Speaker 1: few months ago, he pointed out in an opinion he 1351 01:17:56,680 --> 01:18:05,040 Speaker 1: wrote around the Overcort's decision about President Trump blocking people 1352 01:18:05,080 --> 01:18:09,800 Speaker 1: on Twitter. They actually just ruled that opinion as moot 1353 01:18:09,840 --> 01:18:13,720 Speaker 1: because he's not president anymore. But but in the he 1354 01:18:13,920 --> 01:18:17,679 Speaker 1: put in an opinion associated with that that said, hey, 1355 01:18:17,760 --> 01:18:21,120 Speaker 1: you know, Okay, so maybe President Trump shouldn't have blocked 1356 01:18:21,280 --> 01:18:26,400 Speaker 1: these folks on Twitter, but Twitter blocked President Trump. And 1357 01:18:26,640 --> 01:18:30,440 Speaker 1: like the power of Twitter to do that is pretty extraordinary, 1358 01:18:31,560 --> 01:18:33,519 Speaker 1: and we need to be looking at not only that, 1359 01:18:33,800 --> 01:18:37,360 Speaker 1: but but how these app stores and others are treated 1360 01:18:38,200 --> 01:18:40,720 Speaker 1: in terms of whether or not they are offering a 1361 01:18:40,760 --> 01:18:44,400 Speaker 1: public accommodation kind of the way, like a hotel can't 1362 01:18:44,479 --> 01:18:47,719 Speaker 1: turn someone away because of you know, some arbitrary reason, 1363 01:18:48,680 --> 01:18:53,240 Speaker 1: but you know, if they if that person is violating 1364 01:18:53,280 --> 01:18:55,720 Speaker 1: the rules of the hotel, they can. So he was 1365 01:18:55,920 --> 01:19:00,360 Speaker 1: likening it to a public accommodation and then also usibly 1366 01:19:00,479 --> 01:19:03,400 Speaker 1: as a common carrier kind of the way like a 1367 01:19:03,520 --> 01:19:08,760 Speaker 1: train company can't refuse one kind of product but to 1368 01:19:08,960 --> 01:19:11,680 Speaker 1: accept another, you know, competitor's product or something like that. 1369 01:19:11,880 --> 01:19:14,280 Speaker 1: So so he pointed to those two things and it 1370 01:19:14,439 --> 01:19:19,280 Speaker 1: was basically just an invitation for someone to bring a 1371 01:19:19,439 --> 01:19:23,599 Speaker 1: case to the court. And um, so we were watching 1372 01:19:23,680 --> 01:19:26,280 Speaker 1: that with a lot of interest here at Caucus Room. Um. 1373 01:19:26,560 --> 01:19:29,200 Speaker 1: You know, as you know, Caucus Room is a social 1374 01:19:29,280 --> 01:19:33,320 Speaker 1: network for conservatives. Um. And so we've we're always pretty 1375 01:19:33,360 --> 01:19:39,120 Speaker 1: wary of you know, legislative and you know, uh, legislators 1376 01:19:39,160 --> 01:19:42,200 Speaker 1: getting um in the mix because they'll probably screw it up. 1377 01:19:42,240 --> 01:19:44,680 Speaker 1: And you know, we don't exactly you know, whatever the 1378 01:19:44,760 --> 01:19:47,600 Speaker 1: court decisions are is usually kind of an up or 1379 01:19:47,640 --> 01:19:52,000 Speaker 1: down or or nuanced decision with some specific issue like 1380 01:19:52,120 --> 01:19:55,560 Speaker 1: that Twitter case that you know probably doesn't relate to 1381 01:19:55,640 --> 01:19:58,680 Speaker 1: the way Caucus Room works. But but we watched it 1382 01:19:58,760 --> 01:20:02,720 Speaker 1: with a lot of interest. You know, we certainly had 1383 01:20:02,760 --> 01:20:05,160 Speaker 1: our own issues with the app stores and are still 1384 01:20:05,240 --> 01:20:08,040 Speaker 1: trying to get onto the app stores. So we've learned 1385 01:20:08,040 --> 01:20:10,680 Speaker 1: a lot. But it was a really important decision and 1386 01:20:10,800 --> 01:20:12,960 Speaker 1: one that we're still kind of chewing on this week. 1387 01:20:13,200 --> 01:20:15,120 Speaker 1: So so tell us of a year, and we're speaking 1388 01:20:15,160 --> 01:20:18,120 Speaker 1: to Matt Needler, who's a CEO of caucus Room dot com, 1389 01:20:18,200 --> 01:20:21,320 Speaker 1: which is a social media site for conservatives and one 1390 01:20:21,439 --> 01:20:24,000 Speaker 1: that I've partnered with as a sponsor. And I want 1391 01:20:24,000 --> 01:20:27,519 Speaker 1: to know, Matt, uh, why can't you get in the 1392 01:20:27,560 --> 01:20:30,080 Speaker 1: app store? For example, what's the reason that Apple, one 1393 01:20:30,120 --> 01:20:32,400 Speaker 1: of the most powerful companies in the world, gives for 1394 01:20:32,640 --> 01:20:36,720 Speaker 1: why you can't actually have an app? Just like you know, 1395 01:20:37,479 --> 01:20:40,160 Speaker 1: it seems like there are millions of them these days. Yeah, 1396 01:20:40,360 --> 01:20:44,400 Speaker 1: you know, it's uh so there's a lot of answers 1397 01:20:44,400 --> 01:20:45,920 Speaker 1: to that. I mean, the first few times we were 1398 01:20:45,960 --> 01:20:49,200 Speaker 1: rejected were perfectly reasonable. You know, we had bugs, we 1399 01:20:49,320 --> 01:20:52,599 Speaker 1: had didn't load properly, or it was missing a couple 1400 01:20:52,640 --> 01:20:55,400 Speaker 1: of basic you know, security features that that Apple wanted 1401 01:20:55,439 --> 01:20:57,320 Speaker 1: to see or something like that. And so we've addressed 1402 01:20:57,680 --> 01:21:00,280 Speaker 1: all of those. We're going to be resubmitting really soon. UM. 1403 01:21:00,960 --> 01:21:05,400 Speaker 1: But one of the things that that UH is there's 1404 01:21:05,439 --> 01:21:08,719 Speaker 1: kind of a key term which is called user generated content, 1405 01:21:09,200 --> 01:21:12,519 Speaker 1: and that's the official jargon for what a social network 1406 01:21:12,760 --> 01:21:15,599 Speaker 1: is UM. And when you think about user generated content 1407 01:21:15,760 --> 01:21:18,400 Speaker 1: like that could be anything. Could be the pictures people 1408 01:21:18,439 --> 01:21:22,080 Speaker 1: put up on Instagram, it could be UM, a text 1409 01:21:22,400 --> 01:21:26,040 Speaker 1: that someone puts in onto Twitter. UM. And you know, 1410 01:21:26,200 --> 01:21:32,640 Speaker 1: anybody's ability to preemptively moderate that is virtually impossible. There 1411 01:21:32,680 --> 01:21:36,280 Speaker 1: are some screening things and whatnot that Apple requires, you know, 1412 01:21:36,400 --> 01:21:38,240 Speaker 1: in terms of like like we don't want you know, 1413 01:21:38,320 --> 01:21:40,920 Speaker 1: pornography on on Caucus Room. Caucus Room is a place 1414 01:21:41,000 --> 01:21:44,680 Speaker 1: for conservatives to caucus We It's a lot like uh, 1415 01:21:44,760 --> 01:21:48,360 Speaker 1: sort of nextdoor dot com, where it's you know, oriented 1416 01:21:48,439 --> 01:21:50,680 Speaker 1: at first and foremost around your neighborhood, but you can 1417 01:21:50,800 --> 01:21:54,080 Speaker 1: join larger groups. In factors that there's a great buck 1418 01:21:54,120 --> 01:21:58,000 Speaker 1: Sexton group getting started this week. Um, it's a buck 1419 01:21:58,040 --> 01:22:01,519 Speaker 1: Sexton club that because we have clubs, newsrooms, and causes anyway, 1420 01:22:01,560 --> 01:22:03,559 Speaker 1: so when people join Caucus Room, keep an eye out 1421 01:22:03,560 --> 01:22:06,559 Speaker 1: for that. But the point is user user generated content 1422 01:22:07,720 --> 01:22:12,000 Speaker 1: is something that the app stores have extra requirements for. 1423 01:22:12,320 --> 01:22:15,000 Speaker 1: So if you're uploading a game like a Tetris kind 1424 01:22:15,040 --> 01:22:18,040 Speaker 1: of game or something, they've got one level of screening. 1425 01:22:18,160 --> 01:22:20,320 Speaker 1: But if you have user generated content, they've got a 1426 01:22:20,360 --> 01:22:23,559 Speaker 1: whole another level of screening. And so we have been 1427 01:22:24,560 --> 01:22:27,000 Speaker 1: working for you know, the better part of nine months too, 1428 01:22:27,760 --> 01:22:29,800 Speaker 1: and it kind of feels like sometimes the goalposts are 1429 01:22:29,880 --> 01:22:34,320 Speaker 1: shifting on us. But uh, you know, the latest thing 1430 01:22:34,439 --> 01:22:37,000 Speaker 1: that they had was, you know that we because we 1431 01:22:37,200 --> 01:22:41,920 Speaker 1: screen people who want to join Caucus Room and participate 1432 01:22:41,960 --> 01:22:45,040 Speaker 1: in our you know, the discussions, post content, create a 1433 01:22:45,160 --> 01:22:48,240 Speaker 1: group or something, you have to be a real person 1434 01:22:48,600 --> 01:22:50,040 Speaker 1: and we got to know that you, you know, you 1435 01:22:50,160 --> 01:22:53,600 Speaker 1: share the same generally share the same conservative values that 1436 01:22:53,680 --> 01:22:55,960 Speaker 1: the other members share on the site. And so we 1437 01:22:56,000 --> 01:22:58,200 Speaker 1: have a little screening process. So Matt tell me this, 1438 01:22:58,320 --> 01:23:01,360 Speaker 1: I mean, this is a different thing that you're doing 1439 01:23:01,600 --> 01:23:06,439 Speaker 1: with Caucus Room. How do you verify conservatives? Yeah, so 1440 01:23:06,560 --> 01:23:08,599 Speaker 1: we do a few different uh, we have a few 1441 01:23:08,640 --> 01:23:11,439 Speaker 1: different methods. We've got a few you know, commercial data 1442 01:23:12,600 --> 01:23:14,800 Speaker 1: things that we can run against. So u you know, 1443 01:23:14,880 --> 01:23:17,920 Speaker 1: one of the things that we've that's very clear is 1444 01:23:18,040 --> 01:23:23,160 Speaker 1: that liberals hate it when conservatives talk online, right, and 1445 01:23:23,320 --> 01:23:27,479 Speaker 1: so there were you know, one of the problems that 1446 01:23:27,560 --> 01:23:29,360 Speaker 1: Parlor fell into was that, you know, there were a 1447 01:23:29,400 --> 01:23:32,920 Speaker 1: lot of people joining it just to sabotage the conversations 1448 01:23:32,960 --> 01:23:36,920 Speaker 1: and to sabotage the site from the left. And uh, 1449 01:23:37,080 --> 01:23:39,760 Speaker 1: you know that is that's always a concern they you know, 1450 01:23:40,240 --> 01:23:43,160 Speaker 1: poll after poll shows that the only people who feel 1451 01:23:43,200 --> 01:23:47,200 Speaker 1: totally comfortable talking online are are the most liberal. And 1452 01:23:47,400 --> 01:23:50,680 Speaker 1: so when we built Caucus Room, we wanted to at 1453 01:23:50,800 --> 01:23:53,800 Speaker 1: least do some kind of a screening system to keep 1454 01:23:53,880 --> 01:23:57,640 Speaker 1: those liberal trolls out and um, and you know, for 1455 01:23:57,680 --> 01:23:59,080 Speaker 1: the most part, I think we've been we've done a 1456 01:23:59,120 --> 01:24:01,960 Speaker 1: really really good job that as we've been growing. But 1457 01:24:02,320 --> 01:24:05,760 Speaker 1: the you know, so, so you we use some commercial databases, 1458 01:24:05,800 --> 01:24:08,719 Speaker 1: and we also allow you to to vouch for a friend. 1459 01:24:09,360 --> 01:24:11,320 Speaker 1: So if you've got a friend that you you know, 1460 01:24:11,600 --> 01:24:14,439 Speaker 1: it's sort of on you if they join Caucus Room 1461 01:24:14,479 --> 01:24:17,599 Speaker 1: and misbehave. But the point is like we were trying 1462 01:24:17,680 --> 01:24:21,680 Speaker 1: to set up a system where you know, we are 1463 01:24:21,800 --> 01:24:25,360 Speaker 1: here to caucus as conservatives to have some you know, conversations, 1464 01:24:25,479 --> 01:24:27,600 Speaker 1: you know, who's the city council candidate we like in 1465 01:24:27,640 --> 01:24:31,160 Speaker 1: our neighborhood, who's the UM you know, what sort of 1466 01:24:31,240 --> 01:24:33,400 Speaker 1: slate of school board candidates do we want to support, 1467 01:24:33,640 --> 01:24:35,200 Speaker 1: and then all the way up to the national level 1468 01:24:35,320 --> 01:24:39,559 Speaker 1: talking about national conservative issues as well. But we don't 1469 01:24:40,000 --> 01:24:42,960 Speaker 1: feel like people will be able to comfortably have those 1470 01:24:43,000 --> 01:24:46,320 Speaker 1: conversations unless we kind of clear the room of um, 1471 01:24:46,479 --> 01:24:50,599 Speaker 1: you know, the troublemakers first. So so that's our that's 1472 01:24:50,640 --> 01:24:54,280 Speaker 1: our goal. But UM. You know that said, you can 1473 01:24:54,360 --> 01:24:56,680 Speaker 1: now join and at least look around a little bit 1474 01:24:56,760 --> 01:25:00,439 Speaker 1: without a screening process, So we have a limited access 1475 01:25:00,560 --> 01:25:02,200 Speaker 1: before we screen you if you'd like to see what 1476 01:25:02,280 --> 01:25:04,160 Speaker 1: it is. There's so there's one level of people can 1477 01:25:04,200 --> 01:25:05,760 Speaker 1: to sort of see what's going on if they go 1478 01:25:05,840 --> 01:25:08,599 Speaker 1: to Caucus room dot com and then to get more 1479 01:25:08,680 --> 01:25:11,200 Speaker 1: involved than to be posting and things. That's where this 1480 01:25:11,640 --> 01:25:16,040 Speaker 1: verification comes in, UM, and just give us a sense 1481 01:25:16,080 --> 01:25:18,479 Speaker 1: of what are some of your plans downline as this 1482 01:25:18,680 --> 01:25:23,080 Speaker 1: grows and expands. Yeah, you know, we UM I'll put 1483 01:25:23,120 --> 01:25:26,559 Speaker 1: it this way. Our verification system is so closely mirrored 1484 01:25:26,600 --> 01:25:30,519 Speaker 1: to to the way we're based here in Colorados. We 1485 01:25:30,600 --> 01:25:33,799 Speaker 1: launched in Colorado, and it's so close to Colorado's caucus system. 1486 01:25:34,120 --> 01:25:35,719 Speaker 1: You know, when you go to the caucuses, you actually 1487 01:25:35,760 --> 01:25:39,320 Speaker 1: have to show your ID and you have to show 1488 01:25:39,360 --> 01:25:42,160 Speaker 1: that you're a registered Republican in our in this case, 1489 01:25:42,840 --> 01:25:45,760 Speaker 1: in order to participate in your Republican caucus. And it's 1490 01:25:45,800 --> 01:25:48,680 Speaker 1: great because then you meet your local neighbors who are Republicans, 1491 01:25:49,080 --> 01:25:51,439 Speaker 1: and you talk about the local issues, and you nominate, 1492 01:25:51,600 --> 01:25:54,519 Speaker 1: and you know, you work your way up the chain 1493 01:25:54,640 --> 01:25:58,680 Speaker 1: to nominate people at the various assemblies for state legislator, 1494 01:25:59,040 --> 01:26:02,080 Speaker 1: county commissioner, and then you know, all the way up 1495 01:26:02,120 --> 01:26:06,320 Speaker 1: to governor and president. And so that's how you know, 1496 01:26:06,400 --> 01:26:09,559 Speaker 1: a lot of the caucus states worked. And I found 1497 01:26:09,720 --> 01:26:12,640 Speaker 1: a great value in that. I'm a former state legislator. 1498 01:26:13,120 --> 01:26:15,320 Speaker 1: I didn't have I was very young when I ran. 1499 01:26:16,080 --> 01:26:19,719 Speaker 1: I didn't have a Christmas card list. But the caucus 1500 01:26:20,080 --> 01:26:22,920 Speaker 1: system gives you sort of an instant support network of 1501 01:26:23,000 --> 01:26:26,240 Speaker 1: neighbors who are you know, share your values and want 1502 01:26:26,280 --> 01:26:29,280 Speaker 1: to help people like you get elected. So going through 1503 01:26:29,320 --> 01:26:32,639 Speaker 1: the caucus process is great for you know, a young 1504 01:26:32,800 --> 01:26:35,560 Speaker 1: local candidate just getting started, and we felt like we 1505 01:26:35,600 --> 01:26:38,640 Speaker 1: should see that online. So it's open to not just Republicans. 1506 01:26:38,800 --> 01:26:42,080 Speaker 1: As long as you're you just share conservative values, you 1507 01:26:42,120 --> 01:26:45,960 Speaker 1: can join. But that was the inspiration for the site. 1508 01:26:46,040 --> 01:26:48,280 Speaker 1: It wasn't We didn't want to be like some other 1509 01:26:48,360 --> 01:26:53,720 Speaker 1: social network. We wanted to be an organizing tool for conservatives, 1510 01:26:54,320 --> 01:26:56,800 Speaker 1: both locally and nationally. So that's where we're that's where 1511 01:26:56,840 --> 01:26:59,759 Speaker 1: we're headed. We're in almost every county in the US, 1512 01:27:00,520 --> 01:27:03,040 Speaker 1: most major cities. We've got hundreds or if not thousands 1513 01:27:03,080 --> 01:27:06,120 Speaker 1: of members already. UM and with your help and uh, 1514 01:27:06,240 --> 01:27:08,879 Speaker 1: you know, and and a bunch of other folks, we're 1515 01:27:08,920 --> 01:27:12,200 Speaker 1: growing really really fast. And so we're um, you know, 1516 01:27:12,280 --> 01:27:14,120 Speaker 1: we're just getting started. That's great. And so here in 1517 01:27:14,200 --> 01:27:17,000 Speaker 1: New York I can find other people who are like 1518 01:27:17,200 --> 01:27:20,639 Speaker 1: minded through caucusroom dot com. Right, that's right, yep, yep. 1519 01:27:20,720 --> 01:27:22,400 Speaker 1: You'll find them in your county. You can find them 1520 01:27:22,439 --> 01:27:24,880 Speaker 1: in your state. Uh, you can. You can start a 1521 01:27:24,920 --> 01:27:26,760 Speaker 1: group if I was a you know, if I'm a 1522 01:27:26,920 --> 01:27:31,080 Speaker 1: if I'm thinking about running for office, um, especially like 1523 01:27:31,240 --> 01:27:34,759 Speaker 1: state legislative level. You know, we've had some people already, 1524 01:27:34,920 --> 01:27:37,120 Speaker 1: you know, announcing for Congress, et cetera. And they're they're 1525 01:27:37,120 --> 01:27:40,360 Speaker 1: setting up caucus room groups so that they can find 1526 01:27:40,880 --> 01:27:44,240 Speaker 1: a local support network of verified conservatives to kind of 1527 01:27:44,280 --> 01:27:46,760 Speaker 1: help them get started. Fantastic one. All right, every everyone 1528 01:27:46,800 --> 01:27:49,800 Speaker 1: should definitely go check out the Buck Sexton group at 1529 01:27:49,880 --> 01:27:54,440 Speaker 1: caucus room dot com. Matt and Leedler, CEO of caucusom 1530 01:27:54,479 --> 01:27:56,120 Speaker 1: dot com. Matt, thank you so much, man. We really 1531 01:27:56,160 --> 01:27:59,400 Speaker 1: appreciate it. Hey, thanks for having me. Thanks Buck. Yeah, 1532 01:27:59,680 --> 01:28:01,360 Speaker 1: there has been a change, and I think a lot 1533 01:28:01,400 --> 01:28:06,479 Speaker 1: of Americans, especially hard working, poor middle class Americans circinis, 1534 01:28:06,600 --> 01:28:09,519 Speaker 1: start behaving differently. You're going to start voting with their feet, 1535 01:28:09,560 --> 01:28:12,000 Speaker 1: going to start looking with a little bit more of 1536 01:28:12,040 --> 01:28:15,479 Speaker 1: a suspect I toward what's happening in Washington, DC and 1537 01:28:15,680 --> 01:28:19,120 Speaker 1: within the Democratic Party, because look, these policies are not sustainable. 1538 01:28:19,160 --> 01:28:22,559 Speaker 1: The spending levels are out of control, and these are 1539 01:28:22,680 --> 01:28:25,559 Speaker 1: all going to lead to economic catastrophe. The Senator want 1540 01:28:25,600 --> 01:28:27,760 Speaker 1: to double back and on topic we were discussing here 1541 01:28:27,800 --> 01:28:30,880 Speaker 1: in New York. If you yeah, the spending levels are 1542 01:28:30,960 --> 01:28:34,920 Speaker 1: not sustainable. I know that we didn't talk about this, 1543 01:28:35,000 --> 01:28:36,439 Speaker 1: and I used to bring it up occasionally and I 1544 01:28:36,479 --> 01:28:38,320 Speaker 1: would say, you remember if you've listened to the show 1545 01:28:38,439 --> 01:28:40,120 Speaker 1: for years now, which some of you have been listening 1546 01:28:40,160 --> 01:28:42,960 Speaker 1: to the show almost ten years. But I would say, hey, 1547 01:28:44,320 --> 01:28:48,520 Speaker 1: the situation here of spending, even though the Trump administration 1548 01:28:48,640 --> 01:28:50,360 Speaker 1: is not good, folks are spending too much money. I know, 1549 01:28:50,479 --> 01:28:52,800 Speaker 1: no one wants to hear it, you know, Maga, You know, 1550 01:28:52,880 --> 01:28:54,599 Speaker 1: no one wants to hear anything other than how awesome 1551 01:28:54,640 --> 01:28:57,120 Speaker 1: everything is. But we're spending too much money. And it 1552 01:28:57,200 --> 01:29:00,960 Speaker 1: was true. Now we're spending way too much money. I mean, 1553 01:29:01,000 --> 01:29:05,840 Speaker 1: this is crazy, and it's like we're putting our currency 1554 01:29:06,240 --> 01:29:08,519 Speaker 1: through a stress test to see if we could just 1555 01:29:08,720 --> 01:29:13,040 Speaker 1: break the whole thing. We're trying to see if we 1556 01:29:13,160 --> 01:29:15,720 Speaker 1: can find a way to create inflation. Almost that's what 1557 01:29:15,840 --> 01:29:18,920 Speaker 1: it feels like. And eventually this is going to be 1558 01:29:18,960 --> 01:29:20,719 Speaker 1: a big problem. And I don't mean in ten years, 1559 01:29:21,640 --> 01:29:25,479 Speaker 1: I mean in this first Biden term. And inflation is 1560 01:29:25,920 --> 01:29:29,280 Speaker 1: so damaging because what ends up happening is that you 1561 01:29:29,400 --> 01:29:33,439 Speaker 1: have people with assets, who own assets, they can raise 1562 01:29:34,240 --> 01:29:37,200 Speaker 1: those prices or those assets will be inflated, particularly in 1563 01:29:37,240 --> 01:29:40,479 Speaker 1: the stock market, which has already been happening at some level. 1564 01:29:40,840 --> 01:29:43,320 Speaker 1: But you know, if you are somebody that owns property 1565 01:29:43,320 --> 01:29:46,759 Speaker 1: and you rent it out, well you'll you'll raise prices 1566 01:29:46,800 --> 01:29:49,559 Speaker 1: in order to keep up with inflation. But if you're 1567 01:29:49,600 --> 01:29:55,080 Speaker 1: somebody who relies on wages, it's more difficult. And if 1568 01:29:55,080 --> 01:29:59,320 Speaker 1: you're somebody who has savings, your savings will purchase less. 1569 01:29:59,360 --> 01:30:02,439 Speaker 1: Your savings are worthless. You are eating away at people's 1570 01:30:02,479 --> 01:30:08,280 Speaker 1: savings with this process. Uh. You know, every every action 1571 01:30:08,360 --> 01:30:10,599 Speaker 1: has an equal in opposite reaction, and the most basic 1572 01:30:11,320 --> 01:30:15,960 Speaker 1: truths of of economics and of objective reality are being 1573 01:30:16,120 --> 01:30:19,679 Speaker 1: forgotten in this whole process. And I understand it's it's 1574 01:30:19,720 --> 01:30:22,720 Speaker 1: not politically appealing to people to hear that there's not 1575 01:30:22,880 --> 01:30:25,920 Speaker 1: some magic money tree that's going to make everything so 1576 01:30:26,120 --> 01:30:29,280 Speaker 1: much better. I understand that. But at the end of 1577 01:30:29,320 --> 01:30:33,280 Speaker 1: the day, we have to be honest about this, and 1578 01:30:33,920 --> 01:30:37,360 Speaker 1: that means confronting the fact that while nobody wants to 1579 01:30:37,479 --> 01:30:41,200 Speaker 1: be the one who's telling everybody how bad things are 1580 01:30:41,360 --> 01:30:43,719 Speaker 1: right now, well maybe a little bit because Biden's the president. 1581 01:30:43,760 --> 01:30:45,920 Speaker 1: I get that, but you know, I don't want to 1582 01:30:45,960 --> 01:30:47,760 Speaker 1: be a downer, folks, But this is going to get 1583 01:30:47,800 --> 01:30:49,560 Speaker 1: out of control. And the problem with inflation is that 1584 01:30:49,640 --> 01:30:53,080 Speaker 1: when you figure out that it's happening it's often too 1585 01:30:53,200 --> 01:30:57,200 Speaker 1: late to do very much about it. I mean, well 1586 01:30:57,280 --> 01:30:59,120 Speaker 1: you can do things about it, but you've already got 1587 01:30:59,200 --> 01:31:01,680 Speaker 1: a problem. That's a better way of putting it. And 1588 01:31:02,680 --> 01:31:07,839 Speaker 1: here's you know, Claire McCaskill is saying that the GOP 1589 01:31:08,360 --> 01:31:12,120 Speaker 1: is the party of grievance and negativity, darkness and doom. Now, 1590 01:31:12,520 --> 01:31:16,439 Speaker 1: I I was just talking about some negativity. But you know, 1591 01:31:16,560 --> 01:31:18,960 Speaker 1: sometimes negativity is something you need to talk about. But 1592 01:31:19,080 --> 01:31:23,120 Speaker 1: I think the Democrats are really the ones who well, 1593 01:31:23,160 --> 01:31:26,479 Speaker 1: they're the ones that that view America negatively. I just 1594 01:31:26,840 --> 01:31:29,400 Speaker 1: I just view this as a function of math. Anyway, 1595 01:31:29,400 --> 01:31:32,519 Speaker 1: here's Claire McCaskill Place sixteen. Yeah, it's kind of weird. 1596 01:31:32,720 --> 01:31:35,400 Speaker 1: I mean, what is the Republican Party for right now? 1597 01:31:36,479 --> 01:31:39,240 Speaker 1: I thought it was really interesting yesterday that that Joe 1598 01:31:39,320 --> 01:31:43,240 Speaker 1: Biden led so strongly with the message bring us your ideas. 1599 01:31:43,800 --> 01:31:49,520 Speaker 1: I mean, the Republican Party has become the party of grievance, negativity, 1600 01:31:50,120 --> 01:31:56,760 Speaker 1: darkness and doom. This is so far from the profile 1601 01:31:56,880 --> 01:32:00,200 Speaker 1: of Ronald Reagan. It would give you whiplash to look 1602 01:32:00,200 --> 01:32:04,800 Speaker 1: at the two different models. They just are against everything. No, 1603 01:32:04,920 --> 01:32:07,760 Speaker 1: we're just against what Democrats are doing because they're doing 1604 01:32:07,920 --> 01:32:10,800 Speaker 1: dumb things that are hurtful to the country. Overall, it 1605 01:32:10,960 --> 01:32:14,720 Speaker 1: might help some people, but overall they're bad and that's 1606 01:32:14,760 --> 01:32:16,840 Speaker 1: how we feel. And it's just so funny, isn't it. 1607 01:32:17,200 --> 01:32:20,360 Speaker 1: We're the party of negativity. For four years, Democrats while 1608 01:32:20,400 --> 01:32:24,040 Speaker 1: Trump was president, spent spent all their time trying to 1609 01:32:24,200 --> 01:32:29,800 Speaker 1: explain to us how Trump was basically a fascist and 1610 01:32:30,000 --> 01:32:33,920 Speaker 1: how they were ruining They were we were ruining the 1611 01:32:33,960 --> 01:32:37,360 Speaker 1: country by having somebody who was a Hitler like figure 1612 01:32:37,479 --> 01:32:41,120 Speaker 1: almost as president. But oh and there was a Russian 1613 01:32:41,240 --> 01:32:43,519 Speaker 1: plot to steal the election and he wasn't even really 1614 01:32:43,560 --> 01:32:47,040 Speaker 1: the president, and the country is so racist and there's 1615 01:32:47,080 --> 01:32:49,639 Speaker 1: white supremacy everywhere, and all these things that they say, 1616 01:32:50,720 --> 01:32:53,679 Speaker 1: and then now they turn around when they're in charge, 1617 01:32:53,720 --> 01:32:56,280 Speaker 1: it's like, why are you guys, so you know, why 1618 01:32:56,320 --> 01:33:00,519 Speaker 1: are you so negative about the country? Oh? Okay? The 1619 01:33:00,920 --> 01:33:04,880 Speaker 1: entire Democrat agenda for four years under Trump wasn't to 1620 01:33:04,960 --> 01:33:08,680 Speaker 1: convince everybody that the country was basically spiraling into the 1621 01:33:08,800 --> 01:33:10,479 Speaker 1: seventh circle of hell im And I think we can 1622 01:33:10,520 --> 01:33:14,560 Speaker 1: all see exactly what was happening, and I remember it. 1623 01:33:15,040 --> 01:33:17,280 Speaker 1: But I do have to say that on the question 1624 01:33:17,640 --> 01:33:20,800 Speaker 1: of or on the issue of massive government spending and 1625 01:33:20,880 --> 01:33:23,880 Speaker 1: trillions and trillions of dollars. We have to look at 1626 01:33:23,920 --> 01:33:29,719 Speaker 1: this and understand that, yeah, they're spending too much money, 1627 01:33:30,560 --> 01:33:33,559 Speaker 1: and this is going to have really negative ramifications for people. 1628 01:33:33,600 --> 01:33:35,240 Speaker 1: This is going to affect you, it's going to affect me. 1629 01:33:36,160 --> 01:33:38,200 Speaker 1: And by the time it's clear that it's a problem, 1630 01:33:38,280 --> 01:33:40,000 Speaker 1: you know what they're gonna do. They're not gonna say, wow, 1631 01:33:40,040 --> 01:33:42,880 Speaker 1: you guys were right. They're gonna say it was Trump's fault, 1632 01:33:43,800 --> 01:33:47,400 Speaker 1: It's the Republican's fault, it's the rich not paying enough 1633 01:33:47,439 --> 01:33:51,040 Speaker 1: taxes fault. It's something like that. They'll have some excuse 1634 01:33:51,160 --> 01:33:54,360 Speaker 1: even though we can all see this train of inflation 1635 01:33:54,520 --> 01:33:57,720 Speaker 1: is coming down, coming down the tracks, and it's it's 1636 01:33:57,760 --> 01:34:03,960 Speaker 1: gonna get ugly. Friends, rock and roll, fellow Patriots, It's 1637 01:34:04,040 --> 01:34:20,760 Speaker 1: time for roll com for Aducer Mark. What was it 1638 01:34:20,880 --> 01:34:24,639 Speaker 1: like going to opening day of the New York Baseball Mets? 1639 01:34:24,960 --> 01:34:28,040 Speaker 1: How was it incredible? It was so nice to be 1640 01:34:28,120 --> 01:34:32,240 Speaker 1: back at City Field after a very long time, beautiful day. 1641 01:34:32,560 --> 01:34:36,799 Speaker 1: It was in the mid sixties, high early low seventies, 1642 01:34:36,840 --> 01:34:40,200 Speaker 1: and it was sunny, got to eat some hot dogs, 1643 01:34:40,360 --> 01:34:43,680 Speaker 1: have some beers, watch a baseball game. It felt like 1644 01:34:43,920 --> 01:34:45,840 Speaker 1: normalcy again. Yeah, it was a little weird. It wasn't 1645 01:34:45,880 --> 01:34:48,679 Speaker 1: a full park, but it was as close to normal 1646 01:34:48,760 --> 01:34:50,840 Speaker 1: as I personally have gotten in a long time. So 1647 01:34:50,960 --> 01:34:54,120 Speaker 1: it felt good. Very nice buddy who ended up winning 1648 01:34:54,200 --> 01:34:57,320 Speaker 1: the game? The Mets one. What was the score? It 1649 01:34:57,439 --> 01:34:59,800 Speaker 1: was a three to two They walked off, walked off 1650 01:35:00,200 --> 01:35:04,360 Speaker 1: hit by pitch? What does that mean? That means the 1651 01:35:04,960 --> 01:35:07,840 Speaker 1: batter got hit by the pitch and the basses were loaded, 1652 01:35:08,560 --> 01:35:10,400 Speaker 1: so he gets to go to first base. So that 1653 01:35:10,439 --> 01:35:13,200 Speaker 1: means the runner from third scored. Is that I mean, 1654 01:35:13,280 --> 01:35:15,680 Speaker 1: it's gonna ask. Is that a little anti clubactic? It's 1655 01:35:15,680 --> 01:35:19,559 Speaker 1: like completely It was actually a very weird situation. Nobody 1656 01:35:19,600 --> 01:35:22,120 Speaker 1: in the ballpark knew that it hit him because the 1657 01:35:22,240 --> 01:35:25,160 Speaker 1: umpires signaled shrike three. So me and a lot of 1658 01:35:25,200 --> 01:35:27,960 Speaker 1: fans started booing because the guy at the plate had 1659 01:35:28,280 --> 01:35:30,639 Speaker 1: grounded into a double play with the bases loaded. He'd 1660 01:35:30,680 --> 01:35:33,200 Speaker 1: been bad all game, so we started booing. Then all 1661 01:35:33,240 --> 01:35:35,120 Speaker 1: of a sudden, the umpires signaled that it hit him 1662 01:35:35,840 --> 01:35:37,840 Speaker 1: and the Mets won the game. So it was very weird. 1663 01:35:37,920 --> 01:35:40,880 Speaker 1: It was the strangest ending to a game I've ever 1664 01:35:40,960 --> 01:35:42,639 Speaker 1: been to, that's for sure. But the Mets won. That's 1665 01:35:42,640 --> 01:35:45,120 Speaker 1: all the matters. There we go, What was your what 1666 01:35:45,320 --> 01:35:48,200 Speaker 1: was your ballpark food of choice? I didn't go with 1667 01:35:48,240 --> 01:35:50,400 Speaker 1: anything crazy. A lot of stuff wasn't open because of 1668 01:35:50,479 --> 01:35:53,400 Speaker 1: the it wasn't full capacity. So I just went with 1669 01:35:53,479 --> 01:35:55,599 Speaker 1: the staples and with the hot dog when with some beers. 1670 01:35:56,439 --> 01:35:58,560 Speaker 1: You know, nothing crazy. See, I will say when I 1671 01:35:58,680 --> 01:36:02,200 Speaker 1: used to be able to eat the gluten, the hot 1672 01:36:02,280 --> 01:36:06,080 Speaker 1: dog with the bun is was. There was something pretty 1673 01:36:06,120 --> 01:36:08,519 Speaker 1: nice about it. I was always though. When I was 1674 01:36:08,560 --> 01:36:10,240 Speaker 1: a kid, I was a ketchup guy. Then I got older, 1675 01:36:10,240 --> 01:36:13,200 Speaker 1: I became a mustard guy. Oh no, I definitely go 1676 01:36:13,320 --> 01:36:16,560 Speaker 1: ketch up. I don't like mustard. M Yeah, you like 1677 01:36:16,640 --> 01:36:19,519 Speaker 1: all that sugar, don't you. I mean, I'm not worried 1678 01:36:19,560 --> 01:36:23,040 Speaker 1: about the sugar on a little bit of ketchup. I'm 1679 01:36:23,160 --> 01:36:26,479 Speaker 1: telling you, I'm sure, of course there is, but you 1680 01:36:26,560 --> 01:36:28,760 Speaker 1: know it's delicious. It's not like I'm looking. I'm I'm 1681 01:36:28,760 --> 01:36:31,840 Speaker 1: a weirdo though. I I go, and I have no 1682 01:36:31,960 --> 01:36:34,280 Speaker 1: shame about this. I just I think that mayonnaise with 1683 01:36:34,320 --> 01:36:36,840 Speaker 1: French fries is amazing. And I know that people I 1684 01:36:37,080 --> 01:36:42,000 Speaker 1: know like a total savage mayonnaise and French fries I 1685 01:36:42,120 --> 01:36:44,920 Speaker 1: love it. I love it. The smell of mayonnaise makes 1686 01:36:44,960 --> 01:36:48,479 Speaker 1: me want to vomit. Yeah, wow, really hate man is 1687 01:36:48,479 --> 01:36:51,240 Speaker 1: a great condom. So many, so many of my red 1688 01:36:51,280 --> 01:36:54,479 Speaker 1: blooded American team buck listening across the America right hours 1689 01:36:54,520 --> 01:36:57,760 Speaker 1: saying producer Mark Mayo is them. I've said this before. 1690 01:36:57,800 --> 01:37:00,280 Speaker 1: If you like Mayo, great, I just don't like it. 1691 01:37:00,720 --> 01:37:03,280 Speaker 1: You know, Aoli is just Mayo with with oil in it, 1692 01:37:03,400 --> 01:37:07,759 Speaker 1: you know, a little extra oil and flavor. Fancy aolis? 1693 01:37:07,840 --> 01:37:11,240 Speaker 1: All right, let's get to it. Facebook dot com, slash 1694 01:37:11,320 --> 01:37:13,719 Speaker 1: buck sexty. When I said, it's a Facebook message, somebody 1695 01:37:13,760 --> 01:37:15,519 Speaker 1: send me, by the way, they they send me a 1696 01:37:15,560 --> 01:37:18,160 Speaker 1: message on Instagram and said, Buck, how do I I 1697 01:37:18,280 --> 01:37:21,200 Speaker 1: want to text a couple of friends your show, which, 1698 01:37:21,320 --> 01:37:24,880 Speaker 1: by the way, that's a huge, huge favor and we 1699 01:37:25,000 --> 01:37:26,560 Speaker 1: thank you so much for anybody who could do that. 1700 01:37:27,880 --> 01:37:30,000 Speaker 1: But how They said how because it wasn't that easy 1701 01:37:30,000 --> 01:37:31,280 Speaker 1: to do In the iHeart app, I'll just tell you 1702 01:37:31,400 --> 01:37:35,840 Speaker 1: you can go to buck Sexton dot com slash podcast 1703 01:37:36,520 --> 01:37:38,800 Speaker 1: and just cut and paste that UURL. Just just do 1704 01:37:38,880 --> 01:37:42,679 Speaker 1: a copy paste rather that UURL send somebody that link 1705 01:37:43,080 --> 01:37:47,080 Speaker 1: buck Sexton dot com slash podcast and it goes right 1706 01:37:47,160 --> 01:37:49,639 Speaker 1: there and you press them, just click the play button 1707 01:37:49,720 --> 01:37:52,639 Speaker 1: and you're listening to the Buck Sexton Show. So please, 1708 01:37:52,720 --> 01:37:54,519 Speaker 1: that's a that's a really easy way to do it. 1709 01:37:55,040 --> 01:37:57,280 Speaker 1: If somebody's not that familiar with the iHeart Radio app 1710 01:37:57,400 --> 01:38:00,280 Speaker 1: or with Apple Podcast pretty smart. Can you can you 1711 01:38:00,439 --> 01:38:05,240 Speaker 1: text people Apple from the Apple podcast story? Can you 1712 01:38:05,360 --> 01:38:07,280 Speaker 1: can you text links? Can we do that? Yeah? Can 1713 01:38:07,479 --> 01:38:10,840 Speaker 1: you can go and search for the Buck Sexton Show, 1714 01:38:11,280 --> 01:38:14,040 Speaker 1: you believe. You click on the show page and there 1715 01:38:14,040 --> 01:38:16,559 Speaker 1: should be like the three little dots that you used 1716 01:38:16,600 --> 01:38:19,640 Speaker 1: to share things. You can either share an episode or 1717 01:38:19,640 --> 01:38:22,920 Speaker 1: the full show and it will give you a link. Really, 1718 01:38:23,120 --> 01:38:25,479 Speaker 1: I think you can do that on the IHRBH more thing. Um. 1719 01:38:25,600 --> 01:38:28,080 Speaker 1: You know, Mark, the snow Princess came back from from 1720 01:38:28,120 --> 01:38:29,680 Speaker 1: Buffalo yesterday and I got to see her. It was 1721 01:38:29,720 --> 01:38:32,599 Speaker 1: so exciting, so happy because I had COVID for two weeks, 1722 01:38:32,760 --> 01:38:34,720 Speaker 1: couldn't see her then. Then she had to go home 1723 01:38:34,800 --> 01:38:36,760 Speaker 1: to Buffalo where she's from, so I didn't see her then, 1724 01:38:37,840 --> 01:38:40,400 Speaker 1: and so I hadn't seen her in like three weeks, 1725 01:38:41,240 --> 01:38:44,000 Speaker 1: and so we saw last night. We had a great, 1726 01:38:44,080 --> 01:38:46,760 Speaker 1: great you know, catchup time or union all that, but 1727 01:38:46,880 --> 01:38:48,559 Speaker 1: we were just it was kind of late. We want 1728 01:38:48,600 --> 01:38:50,680 Speaker 1: to watch some kind of a movie, some kind of 1729 01:38:50,760 --> 01:38:54,160 Speaker 1: a show. We put on the number one the number 1730 01:38:54,280 --> 01:38:57,639 Speaker 1: one thing on Netflix. Just you're like, all right, we'll 1731 01:38:57,680 --> 01:38:59,960 Speaker 1: just give this a shot. I knew nothing about it. 1732 01:39:01,280 --> 01:39:03,920 Speaker 1: We got about thirty minutes into it maybe, And I'm 1733 01:39:04,000 --> 01:39:08,920 Speaker 1: pretty sure it's about a guy who's having a relationship 1734 01:39:08,960 --> 01:39:11,320 Speaker 1: with a woman and the daughter of the woman is 1735 01:39:11,360 --> 01:39:16,840 Speaker 1: figuring out that the boyfriend is a human lamb prey, 1736 01:39:17,439 --> 01:39:20,519 Speaker 1: which is like a fish that grabs onto another fish 1737 01:39:20,560 --> 01:39:23,920 Speaker 1: and sucks its insides out. Pretty sure that's what this 1738 01:39:24,000 --> 01:39:25,760 Speaker 1: movie's turning into. And it just makes me want to 1739 01:39:25,880 --> 01:39:28,200 Speaker 1: because we watched this one. We had another Netflix movie 1740 01:39:28,280 --> 01:39:32,320 Speaker 1: recently about like the crazy babysitter, who's like sexy but 1741 01:39:32,479 --> 01:39:35,519 Speaker 1: crazy kind of a thing. You know, this is who 1742 01:39:35,680 --> 01:39:39,000 Speaker 1: is writing this crap? Mark? Like, who comes up? They have? 1743 01:39:39,080 --> 01:39:43,160 Speaker 1: They have such deep pockets at Netflix and Amazon and Hulu. 1744 01:39:43,920 --> 01:39:46,920 Speaker 1: Can't they just make good shows? Why do they make 1745 01:39:47,040 --> 01:39:50,639 Speaker 1: such trash shows? Yeah? But I don't have a clue 1746 01:39:50,840 --> 01:39:53,640 Speaker 1: why Netflix makes this trash but people are obviously watching it. 1747 01:39:53,880 --> 01:39:55,479 Speaker 1: I mean, why else would they be making it and 1748 01:39:55,520 --> 01:39:57,559 Speaker 1: spending the money if people aren't watching it. I think 1749 01:39:57,560 --> 01:39:59,639 Speaker 1: they're very hit hit or miss. But that's the point. 1750 01:40:00,040 --> 01:40:02,360 Speaker 1: People like some stuff, some people don't like other stuff. 1751 01:40:02,720 --> 01:40:04,640 Speaker 1: I guess it just reminds me a little bit of 1752 01:40:04,720 --> 01:40:07,800 Speaker 1: how I remember I grew up in my family. We 1753 01:40:07,960 --> 01:40:10,920 Speaker 1: were I was fortunate, I guess in the sense and 1754 01:40:11,040 --> 01:40:13,920 Speaker 1: that we had my dad likes My dad likes to 1755 01:40:13,960 --> 01:40:15,960 Speaker 1: watch stev He's a big reader, but he also likes 1756 01:40:16,000 --> 01:40:19,080 Speaker 1: to watch TV. And and we had like all the 1757 01:40:19,160 --> 01:40:21,960 Speaker 1: different HBO channels. And if you're watching all the different 1758 01:40:22,040 --> 01:40:25,080 Speaker 1: HBO channels, like like I was, occasionally something would come 1759 01:40:25,080 --> 01:40:27,280 Speaker 1: on late at night and in the movie would be 1760 01:40:27,439 --> 01:40:30,639 Speaker 1: it would be so bad. I mean, it would honestly 1761 01:40:30,720 --> 01:40:33,640 Speaker 1: be such trash that the thought process even as like 1762 01:40:33,720 --> 01:40:36,679 Speaker 1: a teenage as teenager watching this stuff, I think, who 1763 01:40:37,960 --> 01:40:40,479 Speaker 1: thought this was a good idea? I mean who who? 1764 01:40:40,640 --> 01:40:43,960 Speaker 1: Because they spent money they made this movie, you know 1765 01:40:44,200 --> 01:40:46,400 Speaker 1: who thought that making? And the one that always comes 1766 01:40:46,439 --> 01:40:47,760 Speaker 1: to mind that I brought up before the show was 1767 01:40:47,840 --> 01:40:51,519 Speaker 1: LEPrecon five. Remember producer Mark, do you even know the 1768 01:40:51,640 --> 01:40:54,519 Speaker 1: leprac am the Leprica? Do you have the LEPrecon movies? 1769 01:40:54,560 --> 01:40:56,320 Speaker 1: You know what I'm talking about? No? And based on 1770 01:40:56,400 --> 01:40:58,439 Speaker 1: how you're describing them. I don't want to. I'm the 1771 01:40:58,640 --> 01:41:03,360 Speaker 1: Leprica coming lady. You know, he I'll eat your face 1772 01:41:03,439 --> 01:41:05,640 Speaker 1: if you'll try to take me put gold. You know, 1773 01:41:06,120 --> 01:41:09,640 Speaker 1: there was this little guy. He was actually it was 1774 01:41:09,680 --> 01:41:11,720 Speaker 1: a it was a little person. He actually was a 1775 01:41:11,760 --> 01:41:17,439 Speaker 1: little person um named Warwick Davis, who was an actor 1776 01:41:17,640 --> 01:41:22,800 Speaker 1: who played the lead character in the movie Willow, which 1777 01:41:22,920 --> 01:41:25,799 Speaker 1: was a Disney movie that it's kind of a Dungeons 1778 01:41:25,800 --> 01:41:30,240 Speaker 1: and Dragons fantasy genre movie. And so he's a little person. 1779 01:41:30,520 --> 01:41:32,960 Speaker 1: But then he went on to make a whole bunch 1780 01:41:33,080 --> 01:41:35,280 Speaker 1: of these movies called the LEPrecon. And you know, I 1781 01:41:35,360 --> 01:41:39,360 Speaker 1: always think of Leprecons as the guy from the cereal box, 1782 01:41:39,479 --> 01:41:42,800 Speaker 1: the frosted lucky chart arms that are magically delicious. You know, 1783 01:41:42,920 --> 01:41:47,559 Speaker 1: do you remember that I'm going of course, yeah, he's 1784 01:41:47,600 --> 01:41:49,920 Speaker 1: a nice little LEPrecon. You know, he wants to hand 1785 01:41:50,040 --> 01:41:53,479 Speaker 1: you little marshmallows that are different charms, and the whole 1786 01:41:53,560 --> 01:41:55,040 Speaker 1: thing and lucky charms. I used to eat it. I 1787 01:41:55,080 --> 01:41:57,040 Speaker 1: thought they pretty it's pretty yummy. It would turn the 1788 01:41:57,120 --> 01:42:01,920 Speaker 1: cereal milk weird colors. Anyway, the lucky jibs and and 1789 01:42:02,080 --> 01:42:08,479 Speaker 1: I see that's a the Warwick Davis. LEPrecon character is 1790 01:42:08,800 --> 01:42:13,120 Speaker 1: a mean LEPrecon who like like kills people. He's very 1791 01:42:13,200 --> 01:42:19,519 Speaker 1: bad LEPrecon. They made LEPrecon in Space, LEPrecon in the Hood. 1792 01:42:19,720 --> 01:42:23,639 Speaker 1: True story. Uh, they made so many of these movies, 1793 01:42:24,040 --> 01:42:27,479 Speaker 1: and he just watch and he like bites people and 1794 01:42:27,600 --> 01:42:29,720 Speaker 1: rips their faces off and all this stuff, and it's 1795 01:42:29,760 --> 01:42:32,880 Speaker 1: pretty violent sometimes. And I just remember thinking to myself, like, 1796 01:42:33,000 --> 01:42:38,440 Speaker 1: who is the screenwriter for this? Who makes these trash movies? 1797 01:42:39,360 --> 01:42:41,080 Speaker 1: But then I guess I'm sitting here talking about them, 1798 01:42:41,120 --> 01:42:43,680 Speaker 1: but I kind of watch some of them, So I 1799 01:42:43,760 --> 01:42:45,920 Speaker 1: guess some people will watch stuff even but it's garbage. 1800 01:42:46,120 --> 01:42:48,240 Speaker 1: But Netflix is this is all my way of saying, 1801 01:42:48,280 --> 01:42:51,000 Speaker 1: Netflix producer Mark is making, is making some pretty trash 1802 01:42:51,080 --> 01:42:54,280 Speaker 1: stuff these days. They're either going to either win Oscars 1803 01:42:54,520 --> 01:42:56,599 Speaker 1: or some sort of award or they make tresh. It's 1804 01:42:56,680 --> 01:42:58,719 Speaker 1: there's no in between. There's not a lot in between. 1805 01:42:59,000 --> 01:43:01,200 Speaker 1: They don't do a lot of gentleman's b. Plus you know, 1806 01:43:01,400 --> 01:43:05,040 Speaker 1: it's either an A or A or a D. There's 1807 01:43:05,120 --> 01:43:07,640 Speaker 1: not a lot of mid mid range stuff. And the 1808 01:43:07,760 --> 01:43:10,560 Speaker 1: shows over the So anyway, I guess the sostance we 1809 01:43:10,680 --> 01:43:12,800 Speaker 1: might finish this. I don't even know if this is finishable, 1810 01:43:13,240 --> 01:43:19,799 Speaker 1: Like we got through the the you know, sexy college 1811 01:43:19,840 --> 01:43:24,160 Speaker 1: student nanny who you know, I can't even explain it. 1812 01:43:24,360 --> 01:43:25,920 Speaker 1: That was number one on nept We got through that, 1813 01:43:26,040 --> 01:43:29,679 Speaker 1: which was absurd. I mean, it's so bad. But anyway, 1814 01:43:29,680 --> 01:43:31,200 Speaker 1: I'm looking for something good to watch this week, and 1815 01:43:31,240 --> 01:43:34,360 Speaker 1: if any of you have recommendations for me, I'll never forget. 1816 01:43:34,400 --> 01:43:37,840 Speaker 1: It was this audience that told me about the masterpiece 1817 01:43:37,920 --> 01:43:40,599 Speaker 1: theater show Poll Dark, which is available on Amazon, which 1818 01:43:40,680 --> 01:43:42,960 Speaker 1: is a great show. What you can watch you with 1819 01:43:43,080 --> 01:43:47,200 Speaker 1: the whole family. It's a great show, really well done. 1820 01:43:48,000 --> 01:43:50,720 Speaker 1: You know. I I recommended recently for one of my 1821 01:43:50,800 --> 01:43:54,200 Speaker 1: family members Outlander, which have you watched that? One? Producer 1822 01:43:54,280 --> 01:43:58,519 Speaker 1: more Yeah, a long time ago. Yeah, I enjoyed Outlander. 1823 01:43:58,560 --> 01:44:01,040 Speaker 1: But I will say it's really leave violent, and there's 1824 01:44:01,080 --> 01:44:04,280 Speaker 1: a lot of sexy, sexy, sexy, naughty time stuff going 1825 01:44:04,320 --> 01:44:08,800 Speaker 1: on in that show and special fun fun time exactly. 1826 01:44:09,080 --> 01:44:12,720 Speaker 1: That's that that thing, and and it's uh, you know, 1827 01:44:12,760 --> 01:44:14,519 Speaker 1: it's a little too much, a little too much of that. 1828 01:44:15,280 --> 01:44:17,360 Speaker 1: Uh So I I couldn't I have it able to 1829 01:44:17,400 --> 01:44:19,240 Speaker 1: finish shoutlet. So I'm looking I'm looking for a new 1830 01:44:19,280 --> 01:44:21,800 Speaker 1: show anyway, that's that's I've told you about ted Lasso 1831 01:44:21,800 --> 01:44:25,040 Speaker 1: about one hundred times and you still haven't watched it. Yeah, 1832 01:44:25,160 --> 01:44:26,560 Speaker 1: I think i'll do it. Where is is it on? 1833 01:44:26,800 --> 01:44:29,800 Speaker 1: Is it on Apple TV? Oh? See, that's why I 1834 01:44:29,840 --> 01:44:32,200 Speaker 1: don't have Apple TV. Just download the app and get 1835 01:44:32,240 --> 01:44:36,720 Speaker 1: a free trial. Okay, maybe I'll do that. Then is 1836 01:44:36,760 --> 01:44:41,439 Speaker 1: Have you seen the Superstore show? Yes? Fantastic? Someone else 1837 01:44:41,479 --> 01:44:43,719 Speaker 1: said that, so I might check that. Where is that Hulu? 1838 01:44:43,880 --> 01:44:46,720 Speaker 1: That's on Hulu? Yeah, okay, I'm gonna give that. I'm 1839 01:44:46,720 --> 01:44:49,679 Speaker 1: gonna give that a shot. Have you seen Brooklyn nine nine? 1840 01:44:49,720 --> 01:44:53,240 Speaker 1: That's also Snow Snow Princess. We're gonna check out Superstore? Okay, 1841 01:44:53,920 --> 01:44:57,880 Speaker 1: she she's hearing me. Uh and uh Brooklyn nine nine. Yes, 1842 01:44:57,960 --> 01:45:03,120 Speaker 1: that's the Andy Sandberg. It's a cop comedy. Is that one? Good? Hilarious? 1843 01:45:03,400 --> 01:45:04,920 Speaker 1: Love it? Okay? All right, So I got a couple 1844 01:45:04,960 --> 01:45:06,800 Speaker 1: to add into the mix here, let's get to your 1845 01:45:06,880 --> 01:45:09,720 Speaker 1: thoughts team. We got John up here. Hey, but a 1846 01:45:09,880 --> 01:45:12,599 Speaker 1: quick question. Did the number of deaths in the US 1847 01:45:12,880 --> 01:45:16,479 Speaker 1: go up last year? Not taking into account how I 1848 01:45:16,560 --> 01:45:18,640 Speaker 1: wonder if the rate was redistributed to COVID, if there 1849 01:45:18,680 --> 01:45:22,280 Speaker 1: was a significant rise, I'm also curious if it changes 1850 01:45:22,280 --> 01:45:24,160 Speaker 1: if we adjust for the rise in suicide and murder. 1851 01:45:24,200 --> 01:45:27,080 Speaker 1: I know COVID is real. I want the actual impact things. John, 1852 01:45:27,240 --> 01:45:35,280 Speaker 1: I have not independently dove into, dived into dove into 1853 01:45:35,680 --> 01:45:40,280 Speaker 1: these numbers. I have not done that yet. I will 1854 01:45:40,360 --> 01:45:46,280 Speaker 1: tell you that my understanding is that there is excess mortality, 1855 01:45:46,800 --> 01:45:50,080 Speaker 1: substantial excess mortality in the era in the COVID year, 1856 01:45:50,400 --> 01:45:53,760 Speaker 1: So a lot of people did die from COVID. Who 1857 01:45:54,280 --> 01:45:57,040 Speaker 1: you know when you look at so expected mortality is 1858 01:45:57,040 --> 01:45:58,800 Speaker 1: in any given year in the US, how many people die, 1859 01:45:59,680 --> 01:46:05,559 Speaker 1: and excess mortality is a clear separation from I guess 1860 01:46:05,720 --> 01:46:10,280 Speaker 1: a standard deviation at least above that and or a 1861 01:46:10,400 --> 01:46:12,240 Speaker 1: deviation from it. We could just put it that way, 1862 01:46:12,720 --> 01:46:17,120 Speaker 1: and there were a few hundred there were there were 1863 01:46:17,200 --> 01:46:21,280 Speaker 1: hundreds of thousands of additional deaths from COVID. Vast majority 1864 01:46:21,360 --> 01:46:23,599 Speaker 1: of those deaths are people over seventy So you start 1865 01:46:23,640 --> 01:46:27,320 Speaker 1: to get into well, there are more people dying that 1866 01:46:28,040 --> 01:46:31,000 Speaker 1: from COVID. But there's also a high percentage if you're 1867 01:46:31,000 --> 01:46:33,479 Speaker 1: looking at just the excess mortality questions the function of numbers, 1868 01:46:33,479 --> 01:46:36,599 Speaker 1: there's a high percentage of people who died who were 1869 01:46:37,520 --> 01:46:42,360 Speaker 1: near near life expectancy in the US anyway. But yes, 1870 01:46:42,560 --> 01:46:44,680 Speaker 1: the answer question John, is that a lot of a 1871 01:46:44,760 --> 01:46:47,559 Speaker 1: lot of people did die. Hundreds of thousands of people 1872 01:46:47,600 --> 01:46:50,400 Speaker 1: did die from COVID based on everything that I've seen, 1873 01:46:51,200 --> 01:46:55,160 Speaker 1: Burke rights, you sound like a an elitist snob when 1874 01:46:55,160 --> 01:46:58,600 Speaker 1: you denigrate states with less population. Density isn't necessarily a 1875 01:46:58,680 --> 01:47:01,080 Speaker 1: good thing most people. We don't want to live right 1876 01:47:01,160 --> 01:47:03,719 Speaker 1: on top of one another. And frankly, leadership is leadership. 1877 01:47:04,040 --> 01:47:06,120 Speaker 1: Population size has nothing to do with it. If you 1878 01:47:06,160 --> 01:47:08,759 Speaker 1: can lead, it doesn't matter if you're governing Florida or Montana. 1879 01:47:09,200 --> 01:47:12,120 Speaker 1: Christy Noome is disqualified not because she's in a small state, 1880 01:47:12,160 --> 01:47:14,120 Speaker 1: but because she caved to wokeness over the issue of 1881 01:47:14,160 --> 01:47:19,599 Speaker 1: biological sex. Okay, Burke, well, let's actually so, I appreciate 1882 01:47:19,640 --> 01:47:22,439 Speaker 1: you writing and taking the time, let's actually address what 1883 01:47:22,520 --> 01:47:26,360 Speaker 1: you're saying here. I didn't say that density was good 1884 01:47:26,439 --> 01:47:30,320 Speaker 1: or bad, so I don't know why you're thinking that 1885 01:47:30,479 --> 01:47:32,800 Speaker 1: that's what I was saying. I was pointing out that 1886 01:47:33,360 --> 01:47:37,439 Speaker 1: comparing the leadership shown by Ron de Santis in Florida 1887 01:47:37,880 --> 01:47:41,200 Speaker 1: with a population of twenty one million and a lot 1888 01:47:41,240 --> 01:47:47,240 Speaker 1: of density during COVID and comparing Christy Noome in South Dakota, 1889 01:47:47,360 --> 01:47:51,600 Speaker 1: with a population of about two million and a population 1890 01:47:51,680 --> 01:47:56,000 Speaker 1: density similar to the South Pacific. As I've said, islands 1891 01:47:56,040 --> 01:47:59,400 Speaker 1: in the South Pacific is not an apt comparison because 1892 01:47:59,560 --> 01:48:04,160 Speaker 1: COVID density translates directly to more cases and higher mortality, 1893 01:48:04,720 --> 01:48:09,200 Speaker 1: and so it's not as impressive as a leader to 1894 01:48:09,400 --> 01:48:11,599 Speaker 1: be in charge of a state that is much smaller 1895 01:48:11,880 --> 01:48:15,559 Speaker 1: with much lesser density, because those things factor so much. 1896 01:48:15,800 --> 01:48:19,120 Speaker 1: This is like saying, why aren't we New Zealand, Burke, 1897 01:48:19,800 --> 01:48:22,880 Speaker 1: Why does New Zealand have such a better COVID response 1898 01:48:22,960 --> 01:48:27,879 Speaker 1: than we do? It would be intellectually dishonest to suggest 1899 01:48:28,000 --> 01:48:30,599 Speaker 1: that you could compare those two things. New Zealand has 1900 01:48:30,640 --> 01:48:35,080 Speaker 1: a much smaller population and much less density than the 1901 01:48:35,200 --> 01:48:40,680 Speaker 1: United States does overall. So I mean, you can call 1902 01:48:40,800 --> 01:48:43,960 Speaker 1: me whatever you want to call me, but listen to 1903 01:48:44,040 --> 01:48:46,320 Speaker 1: what I'm saying. Don't get angry based on what you're 1904 01:48:46,400 --> 01:48:51,200 Speaker 1: interpreting or your interpretation rather of what I'm saying. I 1905 01:48:51,680 --> 01:48:53,960 Speaker 1: have no I'm trying to move to a less dense 1906 01:48:54,040 --> 01:48:56,240 Speaker 1: place myself. I don't know what. I don't know why 1907 01:48:56,280 --> 01:48:59,200 Speaker 1: you think I like density? Density stinks? Too many people 1908 01:48:59,280 --> 01:49:03,120 Speaker 1: is too expensive and obviously in a pandemic and density 1909 01:49:03,240 --> 01:49:06,200 Speaker 1: is a real challenge. So Burke always free to write 1910 01:49:06,200 --> 01:49:08,720 Speaker 1: into criticize. But on this one, my friend, I think, 1911 01:49:08,840 --> 01:49:11,080 Speaker 1: listen more closely to what I'm saying. Let's come back 1912 01:49:11,120 --> 01:49:12,960 Speaker 1: in a second with more roll call. Coming back here 1913 01:49:13,000 --> 01:49:16,560 Speaker 1: with rollcall. Remember Facebook dot com, slashbuck sexon, or you 1914 01:49:16,640 --> 01:49:21,080 Speaker 1: can email us Team Bucket. iHeartMedia dot com. Richard Buck, 1915 01:49:21,160 --> 01:49:24,320 Speaker 1: I'm very glad you survived the rona. We should all 1916 01:49:24,360 --> 01:49:27,960 Speaker 1: take inspiration from our Bostonian patriot ancestors and have a 1917 01:49:28,160 --> 01:49:31,720 Speaker 1: coke party. I mean assume he means the soda producer Mark. 1918 01:49:32,040 --> 01:49:34,960 Speaker 1: We should record dumping out coke products and setting them 1919 01:49:35,040 --> 01:49:38,840 Speaker 1: to coke and coke CEO. I'm tired of these lib crazies, 1920 01:49:38,920 --> 01:49:40,840 Speaker 1: and these companies need to feel some kind of pain. 1921 01:49:41,360 --> 01:49:43,320 Speaker 1: Major League baseball is just as bad, but I don't 1922 01:49:43,320 --> 01:49:45,720 Speaker 1: have any baseball stuff to burn. Let's have a coke 1923 01:49:45,840 --> 01:49:47,880 Speaker 1: party while keep it our shield hide. Not like a 1924 01:49:48,760 --> 01:49:50,960 Speaker 1: like a hundred Biden coke party. He means like the 1925 01:49:51,320 --> 01:49:55,840 Speaker 1: caffeinated sugary beverage. So just to be clear, but yeah, Richard, 1926 01:49:55,920 --> 01:49:57,599 Speaker 1: thanks for writing in, and thank you for being glad 1927 01:49:57,600 --> 01:50:01,679 Speaker 1: that I survived the RONA. I certainly am too, Dave. Hey, Buck, 1928 01:50:01,760 --> 01:50:04,479 Speaker 1: listen to the podcast late night as usual. Our VP 1929 01:50:04,720 --> 01:50:08,639 Speaker 1: literally just said, strengthening up our economy over water policy. 1930 01:50:09,160 --> 01:50:11,400 Speaker 1: Are you kidding me? I'm looking forward to you in 1931 01:50:11,479 --> 01:50:14,320 Speaker 1: producer marks strengthening up your podcast to make sure water 1932 01:50:14,560 --> 01:50:17,400 Speaker 1: is managed properly, no pressure. What the hell are these 1933 01:50:17,439 --> 01:50:21,600 Speaker 1: people talking about? David? That is a great question. What 1934 01:50:21,960 --> 01:50:25,840 Speaker 1: the hell are the Democrats talking about when it comes 1935 01:50:25,840 --> 01:50:29,000 Speaker 1: to things like infrastructure, and as we've said, anything they 1936 01:50:29,080 --> 01:50:32,280 Speaker 1: want to make infrastructures infrastructure, Well, that's not how that's 1937 01:50:32,320 --> 01:50:36,320 Speaker 1: not how words work. That doesn't make any sense. But yes, 1938 01:50:36,520 --> 01:50:38,479 Speaker 1: we see it for what it is, and we will 1939 01:50:38,640 --> 01:50:40,560 Speaker 1: continue to focus in on what is true and what 1940 01:50:40,720 --> 01:50:43,320 Speaker 1: is real. Dam I want you all have a great weekend. 1941 01:50:43,400 --> 01:50:45,360 Speaker 1: Thanks as always for being here with me. Please do 1942 01:50:45,720 --> 01:50:49,920 Speaker 1: tell one person texts them a link to bucksexon dot 1943 01:50:49,960 --> 01:50:52,280 Speaker 1: com slash podcasts say hey, listen to this guy. It's 1944 01:50:52,320 --> 01:50:55,519 Speaker 1: the best conservative podcast out there. Talk to you all Monday, 1945 01:50:55,840 --> 01:50:56,479 Speaker 1: Shields High