1 00:00:00,840 --> 00:00:03,520 Speaker 1: You're in the freedom hunt. Thanks for listening to The 2 00:00:03,560 --> 00:00:06,560 Speaker 1: Buck Sexton Show podcast. To get the latest from Buck 3 00:00:06,640 --> 00:00:12,639 Speaker 1: at buck sexton dot com. We know that the journos lie. 4 00:00:12,960 --> 00:00:15,600 Speaker 1: That's not anything new. We've seen that plenty of times. 5 00:00:15,600 --> 00:00:18,520 Speaker 1: We're all very aware of the fact that they always 6 00:00:18,600 --> 00:00:24,239 Speaker 1: root for one side. They are Democrats. They're controlled effectively 7 00:00:24,280 --> 00:00:26,920 Speaker 1: by the Democrat Party, or perhaps, as some argue, the 8 00:00:26,960 --> 00:00:30,960 Speaker 1: Democrat Party is controlled by the corporate media. They work 9 00:00:31,000 --> 00:00:35,279 Speaker 1: hand in hand. They are symbiotic organisms. But we have 10 00:00:35,440 --> 00:00:38,480 Speaker 1: yet another story to add into the mix here. That's 11 00:00:38,600 --> 00:00:42,560 Speaker 1: fake news. I mean. The reason that Trump's fake news 12 00:00:42,600 --> 00:00:47,800 Speaker 1: allegations or accusations, quite honestly, just the fact that they 13 00:00:47,920 --> 00:00:51,040 Speaker 1: used the term against them upset them so much was 14 00:00:51,080 --> 00:00:53,600 Speaker 1: because at some level they know it's true. They don't 15 00:00:53,600 --> 00:00:55,880 Speaker 1: want to believe it. They'd never admit that, but at 16 00:00:55,920 --> 00:00:59,560 Speaker 1: some level, Donald Trump is somebody who was able to 17 00:00:59,560 --> 00:01:01,920 Speaker 1: speak the truth about the media that they're hoping the 18 00:01:01,960 --> 00:01:05,200 Speaker 1: American people don't figure out. It is largely now a 19 00:01:06,240 --> 00:01:10,760 Speaker 1: profession of propaganda. It's not something that you can count on, 20 00:01:10,840 --> 00:01:15,560 Speaker 1: it's not something you can trust. People have their own motivations, 21 00:01:15,720 --> 00:01:18,479 Speaker 1: they bring their own biases to it, and more than 22 00:01:18,520 --> 00:01:25,040 Speaker 1: ever now it is used to weaponize perception against conservatives 23 00:01:25,080 --> 00:01:27,000 Speaker 1: and Republicans. And I I don't want to get into that 24 00:01:27,040 --> 00:01:28,839 Speaker 1: some more. But you know what else can be weaponized 25 00:01:28,920 --> 00:01:32,959 Speaker 1: is your data. That's right, the stuff that's constantly being 26 00:01:33,000 --> 00:01:35,960 Speaker 1: collected on you online. You know you can't trust these 27 00:01:35,959 --> 00:01:39,360 Speaker 1: social media companies, right, they sell your stuff, but they're 28 00:01:39,400 --> 00:01:42,319 Speaker 1: also tracking it. They're keeping it all on servers. What 29 00:01:42,400 --> 00:01:45,199 Speaker 1: do you think that turns into in a matter of years, 30 00:01:45,520 --> 00:01:48,160 Speaker 1: given how they're already censoring us, They're already looking for 31 00:01:48,200 --> 00:01:51,680 Speaker 1: people who have wrong think in their social media profiles. 32 00:01:51,880 --> 00:01:54,040 Speaker 1: Don't you think it's time that you took the basic 33 00:01:54,200 --> 00:01:57,920 Speaker 1: step to protect yourself online? Do what I do with 34 00:01:58,000 --> 00:02:01,120 Speaker 1: Express VPN. I've got the Express VPN app on my phone. 35 00:02:01,200 --> 00:02:03,520 Speaker 1: It's so straightforward, so easy. You get this app, you 36 00:02:03,560 --> 00:02:05,640 Speaker 1: set it up, you can have it protecting you on 37 00:02:06,040 --> 00:02:09,960 Speaker 1: multiple devices. Here's what it does. Express VPN encrypts my 38 00:02:10,040 --> 00:02:14,920 Speaker 1: network data, so it protects sensitive information from being compromised. Okay, 39 00:02:15,080 --> 00:02:17,799 Speaker 1: and it's so easy to use. One click. I mean, 40 00:02:17,840 --> 00:02:21,080 Speaker 1: I'm not somebody who's super tech savvy. One click and 41 00:02:21,120 --> 00:02:24,799 Speaker 1: you'll protect all of your devices. And they make sure 42 00:02:24,840 --> 00:02:30,079 Speaker 1: that they protect your ability to operate online without everything 43 00:02:30,120 --> 00:02:32,200 Speaker 1: being spied on. Don't you just want to have some 44 00:02:32,320 --> 00:02:35,320 Speaker 1: privacy for what you're doing online without big tech peering 45 00:02:35,360 --> 00:02:38,720 Speaker 1: over your shoulder and selling all of your activity. Stop 46 00:02:38,760 --> 00:02:41,840 Speaker 1: handing over your data to these big tech left wing companies. 47 00:02:42,160 --> 00:02:45,359 Speaker 1: Go with the VPN, the virtual Private network that I 48 00:02:45,440 --> 00:02:47,960 Speaker 1: trust for online protection. All you have to do is 49 00:02:47,960 --> 00:02:51,440 Speaker 1: go to Express vpn dot com slash buck to get 50 00:02:51,480 --> 00:02:54,600 Speaker 1: three months free on a one year package. That's Express 51 00:02:54,880 --> 00:02:58,520 Speaker 1: vpn dot com slash buck. Please go now, set it up. 52 00:02:58,639 --> 00:03:00,800 Speaker 1: You'll be happy you did. This is a you need 53 00:03:00,800 --> 00:03:03,280 Speaker 1: this on your phone, you need this on your devices. 54 00:03:03,280 --> 00:03:09,320 Speaker 1: Express vpn dot com, slash buck. They're supposed to bring 55 00:03:09,400 --> 00:03:11,520 Speaker 1: us the truth in journals, and that's what they say. 56 00:03:11,560 --> 00:03:15,600 Speaker 1: They speak truth to power. They claim that their very 57 00:03:15,720 --> 00:03:20,399 Speaker 1: profession is all about bringing you the facts. Well, let's 58 00:03:20,400 --> 00:03:24,119 Speaker 1: do it a quick review. What are some of the giant, 59 00:03:24,800 --> 00:03:28,920 Speaker 1: awful lies told with intent as well? I don't believe 60 00:03:28,960 --> 00:03:32,359 Speaker 1: that these were situations where they were good faith errors. 61 00:03:32,400 --> 00:03:36,119 Speaker 1: I think that they recognized an opportunity to push an agenda. 62 00:03:36,320 --> 00:03:40,800 Speaker 1: They recognized a means of pushing forward politics, and they 63 00:03:40,840 --> 00:03:44,320 Speaker 1: took it right. They saw what they were doing, they 64 00:03:44,320 --> 00:03:46,360 Speaker 1: saw that they could get away with it in their 65 00:03:46,360 --> 00:03:51,120 Speaker 1: own minds, and so they bashed Republicans with fake news. 66 00:03:51,160 --> 00:03:55,000 Speaker 1: I mean, fake news has been weaponized, and you should 67 00:03:55,080 --> 00:03:59,640 Speaker 1: never forget that fake news was originally a term that 68 00:03:59,680 --> 00:04:03,640 Speaker 1: the democratic media was using to try to explain away 69 00:04:04,120 --> 00:04:07,280 Speaker 1: news stories online. They said that the Trump supporters were 70 00:04:07,280 --> 00:04:09,960 Speaker 1: all believing. This is back in twenty fifteen. We're all 71 00:04:10,000 --> 00:04:12,200 Speaker 1: believing things that weren't true, and that's why Trump had 72 00:04:12,240 --> 00:04:15,360 Speaker 1: so much support. The Russian fake news online was what 73 00:04:15,400 --> 00:04:18,040 Speaker 1: they were turning to. Well, for a lot of us, 74 00:04:18,240 --> 00:04:20,920 Speaker 1: we recognize that when Trump turned this around on them, 75 00:04:21,320 --> 00:04:25,520 Speaker 1: it really stung. The journals were upset by this because 76 00:04:26,040 --> 00:04:29,680 Speaker 1: it was so true that they peddle in falsehoods on 77 00:04:29,720 --> 00:04:33,160 Speaker 1: a regular basis, and they're not upset about it. They 78 00:04:33,200 --> 00:04:34,960 Speaker 1: only get upset when it doesn't work and when they 79 00:04:35,000 --> 00:04:38,480 Speaker 1: get caught. At some level they recognize this is their job. 80 00:04:38,560 --> 00:04:42,960 Speaker 1: They are activists, they are advocates. They are not people 81 00:04:43,000 --> 00:04:46,440 Speaker 1: who are neutral in a pursuit of the truth. And 82 00:04:46,520 --> 00:04:48,880 Speaker 1: some of the clear examples of this, I mean, the 83 00:04:48,920 --> 00:04:53,000 Speaker 1: biggest one that comes to mind more than really any 84 00:04:53,040 --> 00:04:57,960 Speaker 1: other is the Russia collusion hoax, which they pushed for 85 00:04:58,279 --> 00:05:01,480 Speaker 1: years and actually still cling to at some level. They'll say, well, 86 00:05:01,880 --> 00:05:04,560 Speaker 1: there wasn't quite the collusion that we said there was, 87 00:05:04,839 --> 00:05:07,160 Speaker 1: but there was clearly something going on and there was 88 00:05:07,200 --> 00:05:10,960 Speaker 1: a willingness to collude. They put on their freud hats 89 00:05:10,960 --> 00:05:13,520 Speaker 1: and they say, well, we can see into the minds 90 00:05:13,560 --> 00:05:16,360 Speaker 1: of Trump and his people. They would have colluded if 91 00:05:16,360 --> 00:05:19,279 Speaker 1: they could have gotten away with it. But of course 92 00:05:19,320 --> 00:05:22,760 Speaker 1: that's not what we were told in the initial phases. 93 00:05:22,800 --> 00:05:25,920 Speaker 1: Early on, what they were telling us is that Trump 94 00:05:26,000 --> 00:05:30,200 Speaker 1: worked with the Russian government, with Putin and the Kremlin 95 00:05:30,240 --> 00:05:34,320 Speaker 1: to steal the election. That was an awful lie. It's 96 00:05:34,360 --> 00:05:39,040 Speaker 1: one that undermined a president. It's one that was used 97 00:05:39,040 --> 00:05:41,560 Speaker 1: as the primary method think about this. That was the 98 00:05:41,680 --> 00:05:47,359 Speaker 1: number one rallying cry of the hashtag resistance while Trump 99 00:05:47,440 --> 00:05:50,400 Speaker 1: was in office. It was a lot. They actually got 100 00:05:50,400 --> 00:05:53,760 Speaker 1: a special counsel based off of it. I mean, they 101 00:05:53,760 --> 00:05:55,520 Speaker 1: were able to take it to the next level of 102 00:05:55,560 --> 00:06:00,280 Speaker 1: It wasn't merely we don't It wasn't merely a question of, 103 00:06:01,480 --> 00:06:04,640 Speaker 1: you know, this is one of several stories or areas 104 00:06:04,680 --> 00:06:07,080 Speaker 1: where we're going to attack the president. They were able 105 00:06:07,120 --> 00:06:11,159 Speaker 1: to use this to turn the government apparatus against a 106 00:06:11,279 --> 00:06:16,039 Speaker 1: sitting president. It's all lies. Did anyone really suffer the 107 00:06:16,080 --> 00:06:19,440 Speaker 1: consequences for this? Now? In fact, over at MSNBC it 108 00:06:19,520 --> 00:06:22,560 Speaker 1: caused a big ratings boom, same thing at CNN. The 109 00:06:22,640 --> 00:06:29,560 Speaker 1: Russia collusion hoaxers and now truthers were overwhelmingly promoted. It 110 00:06:29,680 --> 00:06:32,920 Speaker 1: advanced their careers. I mean, there was some guy or 111 00:06:32,920 --> 00:06:34,960 Speaker 1: remember who wrote a book I don't remember his name now, 112 00:06:35,000 --> 00:06:39,240 Speaker 1: he's an idiot called Proof of Collusion, and the guy 113 00:06:39,279 --> 00:06:44,400 Speaker 1: had like almost a million followers on Twitter. Some total 114 00:06:44,440 --> 00:06:47,200 Speaker 1: clown that nobody should have ever heard of, or believed 115 00:06:47,279 --> 00:06:50,360 Speaker 1: or listened to her read, created a big career for himself. 116 00:06:50,360 --> 00:06:53,760 Speaker 1: The guy's an idiot. And there's tons of people out 117 00:06:53,760 --> 00:06:56,159 Speaker 1: there like that. So not only do they lie and 118 00:06:56,240 --> 00:07:00,080 Speaker 1: advance their political goals, they benefit from the lie. And 119 00:07:00,080 --> 00:07:03,279 Speaker 1: then they go around telling us all that that Trump 120 00:07:03,360 --> 00:07:05,600 Speaker 1: lies so much and that we're delusional because we don't 121 00:07:05,600 --> 00:07:07,920 Speaker 1: see the Trump lies. Yeah, you know, Trump lies about 122 00:07:07,920 --> 00:07:10,640 Speaker 1: how many ice cream ice cream scoops he had last night, 123 00:07:11,000 --> 00:07:14,200 Speaker 1: and they freak out about it. And you know, I 124 00:07:14,320 --> 00:07:17,760 Speaker 1: sit here and I see what's going on with this 125 00:07:17,800 --> 00:07:21,640 Speaker 1: once again, and I actually worry about the future of 126 00:07:21,640 --> 00:07:24,760 Speaker 1: the country. I really do, because we now have the elites, 127 00:07:24,840 --> 00:07:29,080 Speaker 1: We have this cast of so called truth tellers who 128 00:07:29,120 --> 00:07:32,080 Speaker 1: are the biggest frauds and the biggest liars in the country. 129 00:07:32,320 --> 00:07:35,440 Speaker 1: So there's Russia collusion, which was, as you know, a 130 00:07:36,040 --> 00:07:42,080 Speaker 1: big lie. There is their willingness to suppress stories they 131 00:07:42,120 --> 00:07:46,160 Speaker 1: don't like, like the Hunter Biden story. That's a form 132 00:07:46,200 --> 00:07:49,000 Speaker 1: of lying, suppression of truth, and that was right before 133 00:07:49,040 --> 00:07:52,280 Speaker 1: the election. We know what they did there. There was 134 00:07:52,320 --> 00:07:56,960 Speaker 1: the the insurrection Day where people beat Officer sick Nick 135 00:07:57,080 --> 00:08:00,360 Speaker 1: to death with flagpoles. That was the wor you know 136 00:08:00,400 --> 00:08:03,360 Speaker 1: that they were saying that there were there were murders 137 00:08:03,400 --> 00:08:06,880 Speaker 1: of police officers on Capitol Hill during the January sixth 138 00:08:06,880 --> 00:08:09,680 Speaker 1: Insurrection Day. It was a riot. It was not an insurrection, 139 00:08:09,840 --> 00:08:12,680 Speaker 1: and we all know it. But Officer sick Nick did 140 00:08:12,680 --> 00:08:14,160 Speaker 1: not die from being beaten to death. In fact, he 141 00:08:14,160 --> 00:08:16,880 Speaker 1: didn't die from any blunt force trauma or any assault 142 00:08:16,880 --> 00:08:20,160 Speaker 1: of any kind, based on the autopsy information that we've 143 00:08:20,200 --> 00:08:22,560 Speaker 1: been given, not officially, but that has been reported on. 144 00:08:23,400 --> 00:08:27,440 Speaker 1: That's a pretty damn big lie, isn't it. Saying that 145 00:08:27,520 --> 00:08:29,840 Speaker 1: police officer was beaten to death? By people, so you 146 00:08:29,880 --> 00:08:33,520 Speaker 1: can blame everybody who generally is on the right of 147 00:08:33,559 --> 00:08:36,719 Speaker 1: American politics, where we're all responsible for that. And it 148 00:08:36,960 --> 00:08:39,800 Speaker 1: turns out, well, no, that's not what happened. How could 149 00:08:39,800 --> 00:08:42,920 Speaker 1: the media get that wrong? Ah? But you see, it 150 00:08:43,040 --> 00:08:46,480 Speaker 1: served the purpose, that's the point. It served the purpose. 151 00:08:47,440 --> 00:08:50,600 Speaker 1: And then that brings me to the latest one. You'll 152 00:08:50,600 --> 00:08:55,160 Speaker 1: recall that President Trump was very upset and did not 153 00:08:55,679 --> 00:08:59,680 Speaker 1: did not believe at first the results and still perhaps doesn't. 154 00:08:59,679 --> 00:09:04,080 Speaker 1: There was ls of the twenty twenty presidential election well 155 00:09:04,120 --> 00:09:06,160 Speaker 1: as part of during that, as part of that whole 156 00:09:06,200 --> 00:09:09,920 Speaker 1: period and that that back and forth, The Washington Post 157 00:09:10,880 --> 00:09:16,520 Speaker 1: published a story on January ninth saying that Trump essentially 158 00:09:17,640 --> 00:09:26,520 Speaker 1: pressured Georgia, a Georgia elections investigator to quote find the fraud. Okay, 159 00:09:26,720 --> 00:09:32,160 Speaker 1: find the fraud. And just a few days ago, Now 160 00:09:32,160 --> 00:09:34,400 Speaker 1: that was that was a big deal for everyone, understand this, 161 00:09:34,440 --> 00:09:39,280 Speaker 1: because they were saying that now Trump was using his position, 162 00:09:39,679 --> 00:09:42,880 Speaker 1: as you know now the outgoing president, but he was 163 00:09:42,960 --> 00:09:45,640 Speaker 1: using his position still as the man occupying the oval 164 00:09:45,640 --> 00:09:49,120 Speaker 1: office to change the results of the election, using pressure. 165 00:09:49,559 --> 00:09:52,200 Speaker 1: That's a big charge to make. That really got a 166 00:09:52,200 --> 00:09:55,120 Speaker 1: lot of attention and In fact, the line find the 167 00:09:55,200 --> 00:09:59,640 Speaker 1: fraud was cited in the articles of impeachment against Trump 168 00:10:00,120 --> 00:10:02,520 Speaker 1: the Democrats and the Congress brought against him for a 169 00:10:02,679 --> 00:10:05,440 Speaker 1: second time. Well, just a few days ago. You gotta 170 00:10:05,520 --> 00:10:11,520 Speaker 1: hear this the Washington Post. Remember that story. I was 171 00:10:11,640 --> 00:10:15,920 Speaker 1: January ninth. Now it's March eleventh, two months pass. And 172 00:10:16,040 --> 00:10:20,920 Speaker 1: here is what they add to this story as a correction. 173 00:10:21,760 --> 00:10:25,080 Speaker 1: Two months after publication of this story, the Georgia Secretary 174 00:10:25,080 --> 00:10:28,680 Speaker 1: of State released an audio recording of President Donald Trump's 175 00:10:28,720 --> 00:10:32,880 Speaker 1: December phone call with the state's top election investigator. The 176 00:10:32,960 --> 00:10:36,480 Speaker 1: recording revealed that the Post misquoted Trump's comments on the 177 00:10:36,559 --> 00:10:41,080 Speaker 1: call based on information provided by a source. Trump did 178 00:10:41,160 --> 00:10:44,440 Speaker 1: not tell the investigator to find the fraud or say 179 00:10:44,520 --> 00:10:48,359 Speaker 1: she would be a national hero if she did so. Instead, 180 00:10:48,440 --> 00:10:52,920 Speaker 1: Trump urged the investigator to scrutinize ballots in Fulton County, Georgia, 181 00:10:52,960 --> 00:10:57,319 Speaker 1: asserting she would find dishonesty there. He also told her 182 00:10:57,360 --> 00:11:00,480 Speaker 1: she had the most important job in the country right now. 183 00:11:01,160 --> 00:11:03,480 Speaker 1: A story about their recording can be found here. The 184 00:11:03,520 --> 00:11:05,440 Speaker 1: headline and text of the story have been corrected to 185 00:11:05,480 --> 00:11:10,720 Speaker 1: remove quotes misattributed to Trump. So they lied about what 186 00:11:10,760 --> 00:11:13,800 Speaker 1: he said, how do they do that? How did this 187 00:11:13,880 --> 00:11:19,720 Speaker 1: actually happen? Well, they used anonymous sourcing as the as 188 00:11:19,800 --> 00:11:23,240 Speaker 1: the people telling them that this is what Trump said. Right. 189 00:11:23,480 --> 00:11:29,520 Speaker 1: Remember on page ten of the Democrats impeachment brief, they 190 00:11:29,600 --> 00:11:33,240 Speaker 1: highlighted this Washington Post article and the fake quotes in 191 00:11:33,400 --> 00:11:37,040 Speaker 1: oral arguments while it was being televised. So they used this, 192 00:11:37,480 --> 00:11:40,560 Speaker 1: they use that. Doesn't this remind you of something else? Oh? Wait, 193 00:11:41,160 --> 00:11:46,920 Speaker 1: untrue news stories lies from left wing Democrat media organizations 194 00:11:47,120 --> 00:11:50,480 Speaker 1: are then cited in official government proceedings to attack an 195 00:11:50,559 --> 00:11:53,920 Speaker 1: enemy of the left, to attack a republican just like 196 00:11:54,040 --> 00:12:00,400 Speaker 1: what happened in the FISA debacle going after Carter Page, 197 00:12:00,480 --> 00:12:03,479 Speaker 1: just like what happened when they were going after George Bappadopoulos, 198 00:12:03,960 --> 00:12:06,440 Speaker 1: and people in the FBI were saying, well, look at 199 00:12:06,440 --> 00:12:10,600 Speaker 1: what Yahoo reported on Yahoo's reporting bull crap, and the 200 00:12:10,679 --> 00:12:13,679 Speaker 1: FBI morons, because that's what the people involved in this 201 00:12:13,760 --> 00:12:17,680 Speaker 1: were morons, were like, well, that gives us the justification. 202 00:12:18,120 --> 00:12:21,320 Speaker 1: If it's reported by Yahoo or the Washington Post, it's 203 00:12:21,440 --> 00:12:25,160 Speaker 1: gotta be true. What the heck is going on here? 204 00:12:26,679 --> 00:12:30,040 Speaker 1: This is not the way a free and fair society 205 00:12:30,080 --> 00:12:36,480 Speaker 1: can run. Enough is enough. We cannot trust these news organizations. 206 00:12:36,520 --> 00:12:40,120 Speaker 1: They are not trustworthy. We need to understand that. It's 207 00:12:40,120 --> 00:12:42,680 Speaker 1: not a mistake, it's who they are. This is what 208 00:12:42,760 --> 00:12:48,079 Speaker 1: they've become. Journalism is not a thing in America anymore. 209 00:12:48,240 --> 00:12:51,720 Speaker 1: There are some journalists, but the overall practice of journalism 210 00:12:52,080 --> 00:12:57,880 Speaker 1: is just warring propaganda machines, pushing the left wing political agenda. 211 00:12:58,080 --> 00:13:04,400 Speaker 1: That's all. So they lied about about what Trump said. 212 00:13:05,200 --> 00:13:07,880 Speaker 1: The only reason we know about this is because there's 213 00:13:07,880 --> 00:13:11,160 Speaker 1: an actual recording, and the recording was found in the 214 00:13:11,200 --> 00:13:17,240 Speaker 1: trash folder on a computer belonging to a Georgia elections 215 00:13:17,320 --> 00:13:21,400 Speaker 1: investigator when there was a Freedom of Information Act request. 216 00:13:21,480 --> 00:13:26,640 Speaker 1: And this is what end up happening. Unbelievable. And you know, 217 00:13:26,800 --> 00:13:33,800 Speaker 1: other news outlets used their own anonymous sources to verify 218 00:13:34,720 --> 00:13:38,559 Speaker 1: the quotes attributed to Trump that the Washington Post also 219 00:13:38,640 --> 00:13:42,800 Speaker 1: had anonymous sources. Was it all the same source? This 220 00:13:42,880 --> 00:13:45,600 Speaker 1: is why anonymous sourcing is one of the biggest shams, 221 00:13:45,640 --> 00:13:49,679 Speaker 1: one of the biggest frauds that the media perpetrates, because 222 00:13:49,720 --> 00:13:51,200 Speaker 1: you know, they can say whatever they want and they'll 223 00:13:51,200 --> 00:13:53,160 Speaker 1: never reveal their source and then just making it up 224 00:13:53,160 --> 00:13:55,920 Speaker 1: as they go along, or it's all one person, but 225 00:13:56,000 --> 00:13:58,080 Speaker 1: ten outlets are all talking to the same person, so 226 00:13:58,120 --> 00:14:02,440 Speaker 1: you think it's a lot of different sources. According to 227 00:14:02,600 --> 00:14:04,920 Speaker 1: this is from the Federalist dot Com Today. According to 228 00:14:04,920 --> 00:14:08,120 Speaker 1: the chairman of the Georgia Republican Party, the Secretary of 229 00:14:08,120 --> 00:14:12,959 Speaker 1: State's office secretly recorded the conversation, mischaracterized its contents to 230 00:14:13,000 --> 00:14:15,640 Speaker 1: the Washington Post, and then attempted to delete the recording. 231 00:14:16,040 --> 00:14:19,120 Speaker 1: It was recently discovered in a laptop trash folder as 232 00:14:19,120 --> 00:14:24,840 Speaker 1: part of an open records search. So the Washington Post 233 00:14:26,200 --> 00:14:30,080 Speaker 1: fabricated quotes they knew were from a secondhand source in 234 00:14:30,160 --> 00:14:32,840 Speaker 1: the office of a political enemy, couldn't confirm the quotes 235 00:14:32,880 --> 00:14:35,840 Speaker 1: with additional sourcing, still attributed them to the sitting president 236 00:14:35,880 --> 00:14:38,640 Speaker 1: of the United States. Used those quotes as a basis 237 00:14:38,640 --> 00:14:42,000 Speaker 1: to speculate the President committed a crime, and the Democrat 238 00:14:42,000 --> 00:14:45,760 Speaker 1: Party would later repeatedly cite the bogus article one attempting 239 00:14:45,760 --> 00:14:49,680 Speaker 1: to impeach Trump for high crimes and misdemeanors. This is 240 00:14:49,720 --> 00:14:52,440 Speaker 1: all from my friend Mark Hemingway at the Federalist dot 241 00:14:52,480 --> 00:14:56,760 Speaker 1: Com quote. But wait, it gets much worse. Several other 242 00:14:56,840 --> 00:15:02,640 Speaker 1: major media outlets, including NBC, ABC, US Today, PBS, and CNN, 243 00:15:02,640 --> 00:15:06,600 Speaker 1: confirmed the fabricated quotes from the post anonymous sources by 244 00:15:06,680 --> 00:15:13,040 Speaker 1: citing their own anonymous sources. He writes, alas, not only 245 00:15:13,080 --> 00:15:15,120 Speaker 1: is this going to pass without any consequences, we are 246 00:15:15,160 --> 00:15:18,160 Speaker 1: inured to this behavior from the media. The Post did 247 00:15:18,160 --> 00:15:20,680 Speaker 1: this at the tail end of a Trump presidency defined 248 00:15:20,720 --> 00:15:24,600 Speaker 1: by years of the media repeatedly being debased by sources 249 00:15:24,640 --> 00:15:27,600 Speaker 1: who use credulously granted anonymity as a cloak to pass 250 00:15:27,640 --> 00:15:32,680 Speaker 1: off dodgy information, enriched themselves, or ironically enough so doubt 251 00:15:32,680 --> 00:15:35,200 Speaker 1: about the results of the twenty sixteen election. It's not 252 00:15:35,280 --> 00:15:38,120 Speaker 1: exactly puzzling. While the Trump White House might have stopped 253 00:15:38,120 --> 00:15:42,800 Speaker 1: returning reporters phone calls whether or not the mistakes above 254 00:15:42,800 --> 00:15:45,840 Speaker 1: were intentional, this kind of thing has become so commonplace 255 00:15:45,880 --> 00:15:51,160 Speaker 1: and reckless that intent is almost functionally irrelevant. With near universality, 256 00:15:51,200 --> 00:15:54,720 Speaker 1: all these damning media screwups run in one political direction. 257 00:15:55,720 --> 00:15:57,880 Speaker 1: It's a shame New York Governor Andrew Cuomo didn't try 258 00:15:57,920 --> 00:16:00,200 Speaker 1: and kiss any of the grandmothers he killed, Otherwise the 259 00:16:00,240 --> 00:16:03,040 Speaker 1: media may have been obligated to cover his deadly policies. 260 00:16:03,080 --> 00:16:06,640 Speaker 1: And quote Marker Mark A. Hemingway at the Federalist just 261 00:16:06,880 --> 00:16:12,040 Speaker 1: lighting it up here, and it's exactly the point. I 262 00:16:12,080 --> 00:16:16,920 Speaker 1: mean this. Our media deserves, honestly, it deserves repudiation, to 263 00:16:17,000 --> 00:16:20,600 Speaker 1: deserve scorn. These people are atrocious. They're immoral, they're unethical, 264 00:16:20,600 --> 00:16:22,840 Speaker 1: They ruin lives. There's no decency, there's no honesty, and 265 00:16:22,880 --> 00:16:27,040 Speaker 1: they're mostly really dumb too. They think they're smart. A 266 00:16:27,080 --> 00:16:30,440 Speaker 1: lot of them managed to weasel their way into relatively 267 00:16:30,520 --> 00:16:35,080 Speaker 1: fancy institutions for their degrees, a Columbia Journalism School or whatever. 268 00:16:35,520 --> 00:16:37,800 Speaker 1: It's all meaningless, friends, it doesn't. It doesn't actually tell 269 00:16:37,840 --> 00:16:40,880 Speaker 1: you anything about them. A lot of them just found 270 00:16:41,040 --> 00:16:44,280 Speaker 1: some way to use the system to their own benefit. 271 00:16:44,320 --> 00:16:46,120 Speaker 1: And that's all they do. That's really all their careers 272 00:16:46,160 --> 00:16:50,280 Speaker 1: all about. They use the system to elevate themselves at 273 00:16:50,320 --> 00:16:57,440 Speaker 1: the expense of truth, decency, hard work, ethics. It's all 274 00:16:57,480 --> 00:17:02,920 Speaker 1: about them. It's a profession of sociopaths who weaponize their 275 00:17:03,400 --> 00:17:06,960 Speaker 1: quasi psychosis on behalf of the Democrat Party and get 276 00:17:07,040 --> 00:17:10,879 Speaker 1: rich and famous doing so. At least the TV journals do. 277 00:17:11,040 --> 00:17:15,800 Speaker 1: The print journals, they just walk around generally looking frazzled 278 00:17:15,840 --> 00:17:20,119 Speaker 1: and frumpy and upset and angry and hate Republicans and 279 00:17:20,200 --> 00:17:25,199 Speaker 1: pretend that they're doing God's work by writing editorials disguised 280 00:17:25,200 --> 00:17:29,359 Speaker 1: as news pieces. That is the American media today, And 281 00:17:29,440 --> 00:17:32,479 Speaker 1: the fact that they would lie about a president, and 282 00:17:32,520 --> 00:17:35,119 Speaker 1: that that lie would find its way into another impeachment 283 00:17:35,160 --> 00:17:38,119 Speaker 1: trial after other lies told about the president for the 284 00:17:38,160 --> 00:17:41,560 Speaker 1: first impeachment trial, after other lies told about the president 285 00:17:41,560 --> 00:17:44,760 Speaker 1: to bring a special counsel against him. How much lying 286 00:17:44,880 --> 00:17:47,960 Speaker 1: can they do about us before we realize they are 287 00:17:48,040 --> 00:17:51,280 Speaker 1: bad people who cannot be trusted. I will tell you 288 00:17:51,320 --> 00:17:53,280 Speaker 1: that we would have worked just as hard to eliminate 289 00:17:53,280 --> 00:17:55,400 Speaker 1: those acts of voter suppression as we did to eliminate 290 00:17:55,440 --> 00:17:58,040 Speaker 1: the ones that existed in twenty eighteen. We were able 291 00:17:58,040 --> 00:18:00,640 Speaker 1: to mitigate that harm in twenty twenty. We will continue 292 00:18:00,640 --> 00:18:03,919 Speaker 1: to fight. The reality is voters, when they see that 293 00:18:04,000 --> 00:18:07,080 Speaker 1: people are attacking their right to vote, we respond, and 294 00:18:07,119 --> 00:18:10,480 Speaker 1: we respond with a fury that is born of urgency. 295 00:18:10,880 --> 00:18:12,920 Speaker 1: We would not have the American Rescue Plan that is 296 00:18:12,960 --> 00:18:15,919 Speaker 1: going to lift one hundred and seventy one thousand children 297 00:18:15,920 --> 00:18:19,280 Speaker 1: in Georgia out of poverty, will serve millions of Americans 298 00:18:19,280 --> 00:18:21,720 Speaker 1: and lift them out of poverty. That's something that would 299 00:18:21,800 --> 00:18:24,160 Speaker 1: not happen but for the right to vote. And so 300 00:18:24,640 --> 00:18:28,080 Speaker 1: I refuse to countenance anything other than the deepest commitment 301 00:18:28,240 --> 00:18:31,040 Speaker 1: to defending our democracy through Fairfight dot Com and the 302 00:18:31,080 --> 00:18:33,600 Speaker 1: work that other organizations are doing. This has become a 303 00:18:33,640 --> 00:18:37,520 Speaker 1: big national fight for you. But I am curious, are 304 00:18:37,560 --> 00:18:40,560 Speaker 1: you still thinking about running for governor in Georgia in 305 00:18:40,560 --> 00:18:44,480 Speaker 1: twenty twenty two. My focus is on making sure we 306 00:18:44,480 --> 00:18:46,879 Speaker 1: have elections in twenty twenty two, and that means that 307 00:18:46,920 --> 00:18:50,080 Speaker 1: we have to defend our democracy against all enemies, foreign 308 00:18:50,119 --> 00:18:54,080 Speaker 1: and certainly the domestic enemies we see permeating and unfortunately 309 00:18:54,119 --> 00:18:57,600 Speaker 1: populating our state legislatures, fighting hard to restrict access to 310 00:18:57,600 --> 00:18:59,600 Speaker 1: the right to vote, trying to make certain that people 311 00:19:00,160 --> 00:19:03,280 Speaker 1: and young people cannot participate fully in our democracy, which 312 00:19:03,320 --> 00:19:06,080 Speaker 1: is the least patriotic thing I can imagine. In this moment, 313 00:19:06,720 --> 00:19:10,200 Speaker 1: Stacy Abrams can go on air and say absolutely anything, 314 00:19:11,040 --> 00:19:14,320 Speaker 1: and the journals like Chuck Todd, who's just a sniveling 315 00:19:14,320 --> 00:19:18,359 Speaker 1: little fraud, But the journals nod their heads, they go, yeah, 316 00:19:18,359 --> 00:19:21,800 Speaker 1: that's right, Stacey Abrams, You're so great. You're not somebody 317 00:19:21,800 --> 00:19:25,720 Speaker 1: who pretends that she won an election that she lost 318 00:19:25,760 --> 00:19:27,199 Speaker 1: that and no one ever calls her out on this. 319 00:19:28,040 --> 00:19:31,119 Speaker 1: I mean, they're putting someone on on TV here who's 320 00:19:31,160 --> 00:19:34,520 Speaker 1: the big defender of free and fair elections, according to Democrats, 321 00:19:34,520 --> 00:19:38,840 Speaker 1: Stacy Abrams, who can accept that she lost an election. 322 00:19:39,880 --> 00:19:42,720 Speaker 1: She walks around acting like she actually won the Georgia 323 00:19:43,000 --> 00:19:46,640 Speaker 1: gubernatorial race. But she didn't. But that's okay because she's 324 00:19:46,640 --> 00:19:52,440 Speaker 1: Stacy Abrams. She suggests on National TV that Republicans because 325 00:19:52,480 --> 00:19:56,000 Speaker 1: of the domestic threat. Oh yes, the QAnon election cancelers 326 00:19:56,000 --> 00:20:00,119 Speaker 1: are out there. More hysteria nonsense from Democrats that there 327 00:20:00,200 --> 00:20:04,840 Speaker 1: might be canceled elections. What no pushback. Oh, I'm working 328 00:20:04,920 --> 00:20:07,639 Speaker 1: on having just making sure we have elections in twenty 329 00:20:07,720 --> 00:20:10,399 Speaker 1: twenty two. Oh yes, because the big bad mean Republicans 330 00:20:10,400 --> 00:20:13,480 Speaker 1: will will get rid of all of the elections. Every 331 00:20:13,480 --> 00:20:17,840 Speaker 1: election integrity measure is racist, every everything that we do. 332 00:20:18,000 --> 00:20:20,840 Speaker 1: You know, I just want to know, why have any 333 00:20:20,920 --> 00:20:24,160 Speaker 1: rules about elections at all? I mean, at some point 334 00:20:24,200 --> 00:20:25,919 Speaker 1: you run into this, right, why not just have you know, 335 00:20:25,920 --> 00:20:28,959 Speaker 1: how anybody can vote and whatever's in the box at 336 00:20:29,000 --> 00:20:30,760 Speaker 1: the end of the day at the polling station. And 337 00:20:30,840 --> 00:20:32,840 Speaker 1: who says, end of the day, let's let's have an 338 00:20:32,840 --> 00:20:36,400 Speaker 1: election year and we'll just sort of let well, it'll 339 00:20:36,400 --> 00:20:38,600 Speaker 1: all be on the honor system. And you can just 340 00:20:38,640 --> 00:20:40,720 Speaker 1: write down the name of the person you want to 341 00:20:40,760 --> 00:20:43,119 Speaker 1: be president, and you put it in that box. And 342 00:20:43,280 --> 00:20:46,720 Speaker 1: there's no security because we trust people. There's no there's 343 00:20:46,720 --> 00:20:50,040 Speaker 1: no checking, you know, the voter roles, there's no providing ID, 344 00:20:50,560 --> 00:20:53,080 Speaker 1: there's no RUA. U said, well, just you know, it'll 345 00:20:53,119 --> 00:20:54,960 Speaker 1: be like passing a hat around that everyone writes it 346 00:20:55,000 --> 00:20:56,760 Speaker 1: on a piece of paper. We'll do that all over 347 00:20:56,800 --> 00:20:58,320 Speaker 1: the country. We'll do it for a whole year, because 348 00:20:58,320 --> 00:21:02,760 Speaker 1: you know, we believe in democracy. How much elimination of 349 00:21:02,880 --> 00:21:06,840 Speaker 1: voter integrity measures is actually too much for democrats? You 350 00:21:06,840 --> 00:21:09,640 Speaker 1: have to ask that question. The answer, by the way, 351 00:21:09,720 --> 00:21:11,560 Speaker 1: is there's no such thing. As long as they win, 352 00:21:11,720 --> 00:21:14,600 Speaker 1: that's all that matters. Well, it's been pretty aggressive. I mean, 353 00:21:14,600 --> 00:21:18,800 Speaker 1: you've had significant contributions by the New York Times, Jesse McKinley, 354 00:21:18,960 --> 00:21:21,800 Speaker 1: all many Times, Union Brend the Lions up there pushing 355 00:21:21,800 --> 00:21:26,840 Speaker 1: the story forward, New York Post, Champion, Washington Post. All 356 00:21:26,880 --> 00:21:30,600 Speaker 1: these forces gathering, you know, sort of undoes the right 357 00:21:30,640 --> 00:21:34,760 Speaker 1: wing conspiracy theory about the mainstream media, which is that 358 00:21:34,800 --> 00:21:37,880 Speaker 1: we don't cover democratic politicians. But I would be remissed, 359 00:21:37,880 --> 00:21:41,639 Speaker 1: Brian if I didn't mention CNN's own huge media story 360 00:21:41,760 --> 00:21:45,080 Speaker 1: here with Chris Cuomo, the anchor at the nine o'clock 361 00:21:45,119 --> 00:21:49,359 Speaker 1: hour who covered Andrew Cuomo and had all these wonderful 362 00:21:49,400 --> 00:21:52,000 Speaker 1: love a thon interviews with him, more than ten of them, 363 00:21:52,520 --> 00:21:55,560 Speaker 1: and they suspended the conflict of interest rule for Chris 364 00:21:55,680 --> 00:21:58,720 Speaker 1: Cuomo for those interviews. Yet all of a sudden they've 365 00:21:58,800 --> 00:22:01,000 Speaker 1: enforced it again now that Andrew Cuomo is in the 366 00:22:01,040 --> 00:22:05,000 Speaker 1: midst of an historic scandal in the Albany Statehouse. So 367 00:22:05,040 --> 00:22:07,680 Speaker 1: I think that that is a major black eye for CNN, 368 00:22:08,760 --> 00:22:13,640 Speaker 1: A major black guy for CNN. This guy Wemple from 369 00:22:13,680 --> 00:22:18,160 Speaker 1: the Washington Post, he's on CNN air and he is 370 00:22:18,720 --> 00:22:21,320 Speaker 1: he is giving them a little little slap right across 371 00:22:21,359 --> 00:22:24,560 Speaker 1: the face. He's the one, He's the one giving them 372 00:22:24,560 --> 00:22:26,199 Speaker 1: a black eye right there. I gotta say I was 373 00:22:26,400 --> 00:22:30,440 Speaker 1: a little surprised. Apparently, apparently the journals can actually get 374 00:22:30,560 --> 00:22:37,400 Speaker 1: upset at their fellow journals when they're so grotesquely unethical 375 00:22:37,640 --> 00:22:42,439 Speaker 1: in their professions, when there's such an obvious fraudulence at 376 00:22:42,440 --> 00:22:44,600 Speaker 1: the heart of what they're doing, and just the conflict 377 00:22:44,600 --> 00:22:48,000 Speaker 1: of interest and all of it. Yeah, turns out that 378 00:22:48,760 --> 00:22:51,440 Speaker 1: occasionally even even the lib journals will have to call 379 00:22:51,440 --> 00:22:53,800 Speaker 1: out their fellow lib journals. That was a fascinating one. 380 00:22:54,040 --> 00:22:56,280 Speaker 1: But just to get into the heart of the issue 381 00:22:56,280 --> 00:22:58,760 Speaker 1: here for a second, why is he even pointing this out? 382 00:22:58,800 --> 00:23:01,840 Speaker 1: What's he stating? Why is he said this? As you know, 383 00:23:02,720 --> 00:23:08,760 Speaker 1: back when Chris, when Andrew Cuomo was the hero, the 384 00:23:08,760 --> 00:23:12,879 Speaker 1: hero of the pandemic, we were told that it was 385 00:23:12,920 --> 00:23:16,800 Speaker 1: fine that his brother, Chris Cuomo, was interviewing him on 386 00:23:16,960 --> 00:23:21,240 Speaker 1: on what is ostensibly, or at least theoretically allegedly a 387 00:23:21,320 --> 00:23:25,399 Speaker 1: news channel night after night, and it was all supposed 388 00:23:25,440 --> 00:23:27,360 Speaker 1: to be so great. And look at these two brothers 389 00:23:27,359 --> 00:23:30,200 Speaker 1: and during the pandemic and everything else. I mean, that's 390 00:23:30,240 --> 00:23:33,280 Speaker 1: just not journalism, right, I mean, I have two brothers. 391 00:23:33,280 --> 00:23:37,040 Speaker 1: They're they're just the best guys, the most fantastic individuals 392 00:23:37,080 --> 00:23:40,159 Speaker 1: you could ever you could ever meet. But you know, 393 00:23:40,240 --> 00:23:42,119 Speaker 1: if I were doing, if I were pretending to be 394 00:23:42,200 --> 00:23:46,199 Speaker 1: a journalist covering the news, it would not be appropriate 395 00:23:46,240 --> 00:23:50,840 Speaker 1: for me to have my politician brother on and give 396 00:23:50,920 --> 00:23:53,200 Speaker 1: him a BackRub on TV every night. I mean that 397 00:23:53,200 --> 00:23:57,800 Speaker 1: that's just not that's not cool. That's not what it's 398 00:23:57,840 --> 00:24:00,680 Speaker 1: It's fraudy. Look, they can do whatever they want at CNN. 399 00:24:01,160 --> 00:24:03,160 Speaker 1: They just can't be frauds about it. They can't lie 400 00:24:03,200 --> 00:24:04,919 Speaker 1: about it. You know, if they want to be a 401 00:24:04,960 --> 00:24:07,880 Speaker 1: propaganda channel for the DNC, that's fine, just say so. 402 00:24:08,720 --> 00:24:11,240 Speaker 1: But they won't even do that. You'll notice I'm much 403 00:24:11,320 --> 00:24:15,199 Speaker 1: harder on CNN than I am on MSNBC on this issue. 404 00:24:15,720 --> 00:24:19,120 Speaker 1: I mean, MSNBC is engaged in all kinds of dishonesty 405 00:24:19,160 --> 00:24:22,200 Speaker 1: and bullcrap and their left wing lunatics, and they put 406 00:24:22,600 --> 00:24:25,600 Speaker 1: fake Republicans on TV to just trash Republicans so their 407 00:24:25,600 --> 00:24:28,119 Speaker 1: audience thinks, oh gee, the real Republicans actually hate the 408 00:24:28,160 --> 00:24:30,480 Speaker 1: Republicans that have real support in the party. There's a 409 00:24:30,480 --> 00:24:31,920 Speaker 1: lot of things, you know, it was the it was 410 00:24:31,960 --> 00:24:34,320 Speaker 1: the home channel for the Lincoln Project. A lot of 411 00:24:34,320 --> 00:24:38,879 Speaker 1: stuff to trash MSNBC for. But everyone knows MSNBC is 412 00:24:38,960 --> 00:24:44,760 Speaker 1: lib Central. Everyone knows that CNN is every bit as 413 00:24:44,880 --> 00:24:50,320 Speaker 1: left wing as MSNBC in its propaganda efforts, but still 414 00:24:50,400 --> 00:24:54,520 Speaker 1: clings to the absurd fiction that it is actually a 415 00:24:54,960 --> 00:24:58,520 Speaker 1: journalistic endeavor, that they're speaking the truth to people, that 416 00:24:58,520 --> 00:25:01,200 Speaker 1: they're bringing them the facts. You know, Apple and Banana, 417 00:25:01,240 --> 00:25:04,280 Speaker 1: Remember that you know facts first. All these different CNN slogans, 418 00:25:04,640 --> 00:25:09,760 Speaker 1: it's just dishonest, and anybody who is discerning and has 419 00:25:09,760 --> 00:25:13,080 Speaker 1: critical thinking skills knows this can come to this very obvious, 420 00:25:13,160 --> 00:25:17,240 Speaker 1: very blatant conclusion. You know that this guy from Washington 421 00:25:17,280 --> 00:25:19,879 Speaker 1: Post calling out CNN, Yes, CNN has no response to that. 422 00:25:19,920 --> 00:25:23,119 Speaker 1: And in fact, it's even worse because they waive the 423 00:25:23,160 --> 00:25:26,440 Speaker 1: conflict of interest when they wanted to give a lot 424 00:25:26,480 --> 00:25:28,680 Speaker 1: of a lot of puffery and a lot of high 425 00:25:28,680 --> 00:25:33,359 Speaker 1: fives to Governor Cuomo. Now that the guy is barely 426 00:25:33,880 --> 00:25:38,080 Speaker 1: holding on, now that he's just still the governor for 427 00:25:38,119 --> 00:25:40,520 Speaker 1: the time being. But I mean, this guy had an 428 00:25:40,560 --> 00:25:42,960 Speaker 1: iron grip on that position and now he's down to 429 00:25:43,040 --> 00:25:46,399 Speaker 1: his last finger. I mean, he is. It's not looking 430 00:25:46,400 --> 00:25:48,679 Speaker 1: good for him right now. I still think he's gonna 431 00:25:48,720 --> 00:25:51,240 Speaker 1: I'll tell you this, I still believe Cuomo is gonna 432 00:25:51,280 --> 00:25:55,760 Speaker 1: hang on. Another fascinating thing is watching the Libs try 433 00:25:55,800 --> 00:25:58,760 Speaker 1: to defend Gavin Newsom. I mean, there was some Elizabeth 434 00:25:58,800 --> 00:26:02,200 Speaker 1: Warren tweet Buckeye for Michio. I haven't been on your 435 00:26:02,240 --> 00:26:05,200 Speaker 1: show in a while because you know, I'm I'm out 436 00:26:05,240 --> 00:26:08,640 Speaker 1: there fighting for the poor people, you know, the pores. 437 00:26:09,160 --> 00:26:13,320 Speaker 1: I'm worth about ten million, but Oh gosh, golly. You know, 438 00:26:13,560 --> 00:26:15,879 Speaker 1: I was gonna be president and I just want to 439 00:26:16,119 --> 00:26:18,760 Speaker 1: I want to help all the pores, you know, That's 440 00:26:18,800 --> 00:26:22,040 Speaker 1: what I want to do, the poor people out there. Yeah. Sure, 441 00:26:23,040 --> 00:26:28,120 Speaker 1: and I'm fighting for you. Oh gosh. Anyway, she's back 442 00:26:28,119 --> 00:26:32,880 Speaker 1: and she's saying that it's essentially right wing provocateurs. It's 443 00:26:33,040 --> 00:26:37,720 Speaker 1: right wing people who are the ones who are trying 444 00:26:37,760 --> 00:26:41,440 Speaker 1: to get rid of Gavin Newsom because Gavin Newsom listened 445 00:26:41,480 --> 00:26:43,880 Speaker 1: to the science or something. And I'm sitting here saying, lady, 446 00:26:44,480 --> 00:26:47,480 Speaker 1: California is all that. This is all democrats in control. 447 00:26:47,760 --> 00:26:50,320 Speaker 1: They run the state government, they run the state legislature. 448 00:26:50,359 --> 00:26:54,000 Speaker 1: There is no Republican governance in the state of California. 449 00:26:54,119 --> 00:26:57,520 Speaker 1: And the people of California are the ones who realize 450 00:26:57,560 --> 00:27:02,639 Speaker 1: Gavin Newsom is at best a hypocrite, at worst a 451 00:27:03,200 --> 00:27:08,000 Speaker 1: hypocrite who's also an incompetent and an idiot because of 452 00:27:08,040 --> 00:27:10,760 Speaker 1: what happened during COVID and they saw the numbers. You 453 00:27:10,800 --> 00:27:13,239 Speaker 1: know that, It's really straightforward. Would you rather have been 454 00:27:13,359 --> 00:27:16,040 Speaker 1: for the last twelve months at Floridian or at Californian 455 00:27:17,160 --> 00:27:19,679 Speaker 1: We all know the answer to that question. People are upset, 456 00:27:19,880 --> 00:27:23,840 Speaker 1: but they're blaming somehow, it's Republicans fault. They're blaming Republicans 457 00:27:23,920 --> 00:27:28,600 Speaker 1: for Gavin Newsom in the midst of a recall. Anyway, 458 00:27:29,160 --> 00:27:31,560 Speaker 1: Cuomo here in New York, though, has has nobody to 459 00:27:31,600 --> 00:27:34,639 Speaker 1: blame but himself, and it's Democrats who are pushing for 460 00:27:34,720 --> 00:27:40,440 Speaker 1: him to go. And even Nancy Pelosi is saying that 461 00:27:40,680 --> 00:27:47,119 Speaker 1: he said, he shaid, look look his heart play seventeen. 462 00:27:47,840 --> 00:27:51,840 Speaker 1: What these women have said must be treated with respect. 463 00:27:51,840 --> 00:27:56,199 Speaker 1: They are credible and serious charges. And then I called 464 00:27:56,240 --> 00:28:01,640 Speaker 1: for an investigation. I have confidence in the Attorney General 465 00:28:02,240 --> 00:28:05,120 Speaker 1: of New York. She has called for a I think 466 00:28:05,240 --> 00:28:11,240 Speaker 1: expeditious investigation. And again, with all the respect in the 467 00:28:11,280 --> 00:28:13,960 Speaker 1: world for what these women have come forth and said. 468 00:28:14,440 --> 00:28:19,200 Speaker 1: In terms of you're talking about New Yorkers now, in 469 00:28:19,320 --> 00:28:23,600 Speaker 1: terms of generally speaking, people have to look inside themselves 470 00:28:23,600 --> 00:28:29,520 Speaker 1: and say, Governor Cuomo, also, are they how affected is 471 00:28:29,560 --> 00:28:34,399 Speaker 1: their leadership and leading the state under the circumstances that 472 00:28:34,440 --> 00:28:37,439 Speaker 1: are there. But I do think that the women deserve 473 00:28:37,560 --> 00:28:41,200 Speaker 1: to hear the results of these investigations, as does the governor. 474 00:28:41,320 --> 00:28:46,480 Speaker 1: Anybody infect no tolerance, No tolerance, And this is a 475 00:28:46,560 --> 00:28:49,400 Speaker 1: subject very near and dear to my heart. This is 476 00:28:49,680 --> 00:28:52,840 Speaker 1: no tolerance for sexual harassment. Let the world know that. 477 00:28:53,480 --> 00:28:56,760 Speaker 1: But you're not calling an into resign right now. I 478 00:28:56,840 --> 00:28:58,720 Speaker 1: think we should see the results of the emit, but 479 00:28:58,760 --> 00:29:02,160 Speaker 1: he may decide. I was hopefully this result will be soon. 480 00:29:02,960 --> 00:29:05,640 Speaker 1: And what I'm saying is the governor should look inside 481 00:29:05,680 --> 00:29:09,280 Speaker 1: his heart. He loves New York to see if he 482 00:29:09,400 --> 00:29:13,040 Speaker 1: can govern effectively. Isn't a remarkable how she's dancing around 483 00:29:13,040 --> 00:29:21,200 Speaker 1: on this one. Hey, zero tolerances sexual harassment, zero tolerance, 484 00:29:21,600 --> 00:29:23,479 Speaker 1: but we're going to tolerate it this time. I mean, 485 00:29:23,560 --> 00:29:25,760 Speaker 1: she's like, we're not. We're not really gonna call for 486 00:29:25,840 --> 00:29:28,200 Speaker 1: him to leave. You know, it's up to him. But 487 00:29:28,320 --> 00:29:31,440 Speaker 1: we're very, very tough on this issue. Pelosi wants you 488 00:29:31,520 --> 00:29:34,880 Speaker 1: to know, but not so not so tough that if 489 00:29:34,920 --> 00:29:37,920 Speaker 1: Cuomo thinks, yeah, he should probably stay, that he shouldn't stay. Well, 490 00:29:37,920 --> 00:29:40,720 Speaker 1: we got we got zero tolerance on this issue, but 491 00:29:40,840 --> 00:29:43,640 Speaker 1: you know, not so tough that you know that that's 492 00:29:43,680 --> 00:29:46,920 Speaker 1: where we are. That's that's how this goes. So I 493 00:29:46,960 --> 00:29:51,040 Speaker 1: would just say, you know, yeah, this is what you 494 00:29:51,080 --> 00:29:55,480 Speaker 1: get from Democrats, a lot of pseudo moralizing while they're 495 00:29:55,480 --> 00:29:58,440 Speaker 1: really just thinking about how will this affect our grip 496 00:29:58,480 --> 00:30:02,040 Speaker 1: on power. How will this affect our ability to continue 497 00:30:02,160 --> 00:30:06,680 Speaker 1: to be in control. That's what they're really thinking about. 498 00:30:06,720 --> 00:30:10,200 Speaker 1: And it's a state official with Cuomo, but he's tied 499 00:30:10,240 --> 00:30:13,840 Speaker 1: into the National Democrat COVID narrative. You have to remember that. 500 00:30:13,960 --> 00:30:16,320 Speaker 1: You know, it's worse than a crisis. I thought I 501 00:30:16,320 --> 00:30:19,120 Speaker 1: would see a crisis, but this is really a human heartbreak. 502 00:30:19,480 --> 00:30:22,120 Speaker 1: We have a brand new facility to care for these children. 503 00:30:22,360 --> 00:30:25,120 Speaker 1: They built it beyond capacity thinking they would never reach it. 504 00:30:25,400 --> 00:30:28,719 Speaker 1: Today they just set the anniversary that they broke capacity 505 00:30:28,800 --> 00:30:30,960 Speaker 1: more than a thousand and forty children and it's only 506 00:30:31,000 --> 00:30:34,200 Speaker 1: growing every day. And what that means is one hundred 507 00:30:34,240 --> 00:30:36,520 Speaker 1: and twenty of these border agents that are doing an 508 00:30:36,560 --> 00:30:40,120 Speaker 1: extraordinary job in unbelievable times can't be on the border 509 00:30:40,160 --> 00:30:42,360 Speaker 1: protecting us. And when you go to Monument three and 510 00:30:42,400 --> 00:30:45,520 Speaker 1: you talk to those agents, it's not just people from 511 00:30:45,520 --> 00:30:48,760 Speaker 1: Mexico or Honduras or a Salvador. They're now finding people 512 00:30:48,760 --> 00:30:53,600 Speaker 1: from Yemen, Iran, Turkey, people are on the terrorist watch list. 513 00:30:53,640 --> 00:30:56,000 Speaker 1: They are catching and they're rushing it all at once. 514 00:30:56,640 --> 00:30:59,480 Speaker 1: It's an open border, folks, I mean, if it's close 515 00:30:59,560 --> 00:31:01,440 Speaker 1: to it, as you're gonna get without just straight up 516 00:31:01,480 --> 00:31:05,120 Speaker 1: saying all right, fireAll a border patrol. Anyone who shows 517 00:31:05,200 --> 00:31:08,280 Speaker 1: up gets to stay. You know, this is fascinating because 518 00:31:08,800 --> 00:31:13,520 Speaker 1: America is a country, for example, that want you know that, 519 00:31:13,560 --> 00:31:17,200 Speaker 1: that claims extra territorial taxation for all Americans. So if you, 520 00:31:17,280 --> 00:31:20,480 Speaker 1: if you're an American citizen, you live, you know, overseas, 521 00:31:20,520 --> 00:31:24,120 Speaker 1: they'll they'll still tax you. And if you have American citizenship, 522 00:31:24,120 --> 00:31:28,040 Speaker 1: I mean, America claims a lot of ability over you 523 00:31:28,080 --> 00:31:30,440 Speaker 1: as as a political entity if you are in this country. 524 00:31:31,320 --> 00:31:33,920 Speaker 1: But now some people can come and go as they please, 525 00:31:34,840 --> 00:31:37,280 Speaker 1: and they can enter the American family, can they can 526 00:31:37,320 --> 00:31:39,880 Speaker 1: they leave the American family too, whatever they want without 527 00:31:39,920 --> 00:31:43,560 Speaker 1: any any official process, without having to let us know. 528 00:31:44,200 --> 00:31:45,920 Speaker 1: I mean, can you just come back and forth? Oh? 529 00:31:46,040 --> 00:31:50,800 Speaker 1: You know, I just I'm just wondering. I'm curious. You know, 530 00:31:51,000 --> 00:31:54,320 Speaker 1: do illegal immigrants do they have to file taxes or no? 531 00:31:54,920 --> 00:31:57,200 Speaker 1: People say they pay taxes, No, they don't. They pay 532 00:31:57,240 --> 00:31:59,360 Speaker 1: First of all, if they did pay taxes, overwhelmingly, they 533 00:31:59,400 --> 00:32:01,480 Speaker 1: would get a refund from the government, because that's how 534 00:32:01,520 --> 00:32:03,680 Speaker 1: our system works. As you know, the bottom fifty percent 535 00:32:03,680 --> 00:32:06,920 Speaker 1: of earners pay two percent. The bottom fifty percent pay 536 00:32:06,960 --> 00:32:10,040 Speaker 1: two percent of income tax in this country, but they 537 00:32:10,040 --> 00:32:11,720 Speaker 1: would get a refund, no doubt from the government. So 538 00:32:11,720 --> 00:32:13,920 Speaker 1: they probably would want to file taxes if they could, 539 00:32:14,520 --> 00:32:17,080 Speaker 1: because if you make less than a certain amount, your 540 00:32:17,080 --> 00:32:20,040 Speaker 1: government actually gives you money. But yes, they pay sales 541 00:32:20,040 --> 00:32:22,240 Speaker 1: tax when they buy food and gas and cigarettes and 542 00:32:22,240 --> 00:32:23,680 Speaker 1: things like that, the way the rest of us do. 543 00:32:24,720 --> 00:32:28,000 Speaker 1: But do the laws apply or not? You know, I'm 544 00:32:28,040 --> 00:32:31,760 Speaker 1: about to spend the next you know, Oh gosh, I 545 00:32:31,800 --> 00:32:33,680 Speaker 1: got to gather all this stuff together. We got tax 546 00:32:33,720 --> 00:32:35,680 Speaker 1: season coming up, which is just the nightmare. And I 547 00:32:35,720 --> 00:32:38,360 Speaker 1: hated and I got to pull all these different things together. 548 00:32:38,800 --> 00:32:41,640 Speaker 1: And if I don't do it, you know, the government 549 00:32:42,040 --> 00:32:45,360 Speaker 1: insists that they know how much I owe, but they 550 00:32:45,360 --> 00:32:47,320 Speaker 1: won't tell me what I owe. It's up to me 551 00:32:47,400 --> 00:32:50,840 Speaker 1: to figure it out. And if I'm wrong, I can 552 00:32:50,880 --> 00:32:54,080 Speaker 1: suffer consequences. If I'm wrong, I could even theoretically go 553 00:32:54,120 --> 00:32:58,360 Speaker 1: to jail. They do that to people. And yet think 554 00:32:58,360 --> 00:33:00,920 Speaker 1: about that, Who am I? Who am I really harming? 555 00:33:00,960 --> 00:33:03,600 Speaker 1: I mean, if I'm if my taxes are off by 556 00:33:03,640 --> 00:33:06,200 Speaker 1: ten percent or fifteen percent, let's say you know what 557 00:33:06,640 --> 00:33:10,200 Speaker 1: I does that affect the country zero. It affects the 558 00:33:10,200 --> 00:33:14,360 Speaker 1: country zero. But they'll send more fines after me. They'll 559 00:33:14,480 --> 00:33:16,440 Speaker 1: maybe threatened to throw me in prison if I if 560 00:33:16,480 --> 00:33:19,360 Speaker 1: I mess up my taxes, even if it's a good 561 00:33:19,360 --> 00:33:20,760 Speaker 1: faith there. I mean, I may think it's a good 562 00:33:20,760 --> 00:33:22,720 Speaker 1: faith there. I think the tax system is an abomination. 563 00:33:23,720 --> 00:33:25,240 Speaker 1: But you know what they say to you, the laws 564 00:33:25,280 --> 00:33:29,120 Speaker 1: the law. So when it comes to taxes, get ready 565 00:33:29,120 --> 00:33:32,840 Speaker 1: for this. The laws the law. You're not hurting anybody. 566 00:33:33,160 --> 00:33:36,960 Speaker 1: It's super complicated, you know, nobody even really you know, 567 00:33:37,000 --> 00:33:39,360 Speaker 1: different accounts will come to different answers for how much 568 00:33:39,400 --> 00:33:41,680 Speaker 1: a lot of people owe depending on the circumstances. There 569 00:33:41,680 --> 00:33:43,840 Speaker 1: are gray areas the IRS code. There are some things 570 00:33:43,840 --> 00:33:46,640 Speaker 1: where the IRS can't even tell you what the official 571 00:33:46,720 --> 00:33:50,320 Speaker 1: ruling on something is. But the law is the law, 572 00:33:51,240 --> 00:33:55,400 Speaker 1: and you are subject to penalty and even the laws 573 00:33:55,440 --> 00:33:59,000 Speaker 1: of your freedom based upon that law. But illegal immigration 574 00:33:59,120 --> 00:34:01,440 Speaker 1: is not a crime. That's what they want. You know 575 00:34:01,600 --> 00:34:05,160 Speaker 1: that that's not a crime. You're not actually, you know, 576 00:34:05,640 --> 00:34:09,480 Speaker 1: stealing services from American taxpayers by being here legally, although 577 00:34:09,760 --> 00:34:13,200 Speaker 1: are aren't you? Or don't I pay taxes? Because just 578 00:34:13,320 --> 00:34:16,520 Speaker 1: being here, I live under a certain regime of rule 579 00:34:16,560 --> 00:34:19,800 Speaker 1: of law and protection, and you know, police and fire 580 00:34:19,880 --> 00:34:22,120 Speaker 1: and the FBI and all these different services and things 581 00:34:22,120 --> 00:34:25,520 Speaker 1: that are out there, you know, the Treasury Department, the 582 00:34:25,560 --> 00:34:28,160 Speaker 1: fat I mean, we're paying for this with our tax dollars. 583 00:34:28,440 --> 00:34:33,440 Speaker 1: So isn't illegal presence here essentially theft of services or no, oh, 584 00:34:33,480 --> 00:34:36,279 Speaker 1: it's it's not okay. So then why do I have 585 00:34:36,280 --> 00:34:40,360 Speaker 1: to pay taxes? And really think about this, you know, 586 00:34:40,560 --> 00:34:43,920 Speaker 1: I understand there are a lot of people that probably 587 00:34:43,960 --> 00:34:45,520 Speaker 1: don't want to pay taxes. Why don't we let the 588 00:34:45,520 --> 00:34:47,200 Speaker 1: people who want to pay taxes pay them and those 589 00:34:47,239 --> 00:34:49,040 Speaker 1: of those who don't want to can just say nah, 590 00:34:49,120 --> 00:34:51,919 Speaker 1: not this year. It's been a tough year COVID and everything. No, no, 591 00:34:51,920 --> 00:34:55,920 Speaker 1: no income tax for me. Any One individual doing that 592 00:34:56,080 --> 00:34:59,120 Speaker 1: isn't a problem. Any One individual doing that isn't gonna 593 00:34:59,160 --> 00:35:02,400 Speaker 1: hurt the Treasury, doesn't really matter. But yeah, they'll punish 594 00:35:02,440 --> 00:35:04,319 Speaker 1: that bird. They'll ruin that person's life if they have to. 595 00:35:04,600 --> 00:35:06,520 Speaker 1: The I R S will come after you and they'll 596 00:35:06,560 --> 00:35:09,879 Speaker 1: lock you up. But hold on a second. Why oh, 597 00:35:09,960 --> 00:35:12,719 Speaker 1: because the law is the law. So the law is 598 00:35:12,760 --> 00:35:15,440 Speaker 1: the law for American citizens when it comes to taxes 599 00:35:15,520 --> 00:35:18,719 Speaker 1: for American persons who are here legally, Green card holders, etc. 600 00:35:19,120 --> 00:35:22,120 Speaker 1: When it comes to taxes, but when it comes to 601 00:35:22,160 --> 00:35:27,400 Speaker 1: illegal immigrants, Nah, the law doesn't matter. Here's Kevin McCarthy 602 00:35:28,080 --> 00:35:30,480 Speaker 1: trying to explain that. No, it's actually a problem play too. 603 00:35:31,360 --> 00:35:33,799 Speaker 1: The illegal immigration is never right at any time. So 604 00:35:33,880 --> 00:35:37,080 Speaker 1: let's fix legal immigration. But border securities number one, let's 605 00:35:37,120 --> 00:35:40,439 Speaker 1: finish those seventeen miles we're already building. Let's make sure 606 00:35:40,440 --> 00:35:42,600 Speaker 1: that we don't encourage people to think they're just going 607 00:35:42,680 --> 00:35:45,960 Speaker 1: to become citizens by coming. Keep the children back in 608 00:35:46,040 --> 00:35:48,800 Speaker 1: their own country, and if they can want to claim asylum, 609 00:35:49,040 --> 00:35:52,000 Speaker 1: having the cases in their own country, because eighty percent 610 00:35:52,040 --> 00:35:55,240 Speaker 1: of them don't come true, and they're already in the country. 611 00:35:55,440 --> 00:35:58,120 Speaker 1: In America, you've got ten million Americans out of work. 612 00:35:58,360 --> 00:36:00,720 Speaker 1: Now you're bringing people in to compete are those jobs? 613 00:36:01,000 --> 00:36:04,759 Speaker 1: And yet Democrats pretend to be the party of the 614 00:36:04,800 --> 00:36:09,000 Speaker 1: working class. There they don't believe in supply demand when 615 00:36:09,040 --> 00:36:14,040 Speaker 1: it comes to labor and Professor Borhaus at Harvard University, 616 00:36:14,640 --> 00:36:16,680 Speaker 1: who I've read, I've read a lot of his work. 617 00:36:16,880 --> 00:36:20,600 Speaker 1: He's done some of the most extensive research on this Nationally. 618 00:36:20,719 --> 00:36:24,000 Speaker 1: You can't necessarily see the effect of illegal immigrants in 619 00:36:24,040 --> 00:36:26,480 Speaker 1: the labor pool, but when you look at areas where 620 00:36:26,520 --> 00:36:29,719 Speaker 1: there's a big surge of illegal immigration for particularly unskilled 621 00:36:29,760 --> 00:36:36,120 Speaker 1: labor or lower end wage wages. You absolutely see the effect, 622 00:36:36,320 --> 00:36:38,680 Speaker 1: of course you do. Right. So it may not be 623 00:36:38,920 --> 00:36:41,359 Speaker 1: that you feel it in northern Minnesota, but you might 624 00:36:41,400 --> 00:36:44,280 Speaker 1: feel it in Arizona, you might feel it in Southeast Texas. 625 00:36:45,480 --> 00:36:50,759 Speaker 1: But Democrats pretend they're the ones who care about working families, right. Interesting. 626 00:36:51,160 --> 00:36:53,839 Speaker 1: In fact, here's Iana Pressley saying that GOP doesn't care 627 00:36:53,880 --> 00:36:57,640 Speaker 1: about working families played twenty two. Yeah, there's there's no confusion. 628 00:36:57,800 --> 00:37:01,319 Speaker 1: What that is is what our GOP colleagues are so 629 00:37:01,440 --> 00:37:07,040 Speaker 1: very good at doing is um spearheading misinformation campaigns, including 630 00:37:07,080 --> 00:37:10,040 Speaker 1: a perpetuating the Big Lie, which resulted in that insurrection 631 00:37:10,040 --> 00:37:14,080 Speaker 1: on January. Since I remained focused and my Democratic colleagues 632 00:37:14,120 --> 00:37:17,080 Speaker 1: remain focused on centering the needs of everyone who calls 633 00:37:17,160 --> 00:37:19,959 Speaker 1: this country home, who has been hurting. We are making 634 00:37:20,000 --> 00:37:24,080 Speaker 1: massive infusions to our states municipalities, many of our governors 635 00:37:24,080 --> 00:37:26,280 Speaker 1: and mayors and felt that they have been going it alone, 636 00:37:26,320 --> 00:37:28,040 Speaker 1: and we are finally getting them the aid that they 637 00:37:28,080 --> 00:37:32,279 Speaker 1: so desperately need. That our GOP colleagues have have proudly 638 00:37:33,120 --> 00:37:37,560 Speaker 1: affronted and obstructed at every turn. Also massive infusions to 639 00:37:37,680 --> 00:37:40,960 Speaker 1: our community health centers. I represent the district with the 640 00:37:42,280 --> 00:37:47,600 Speaker 1: health centers in the country. Okay, they're bringing in hundreds 641 00:37:47,600 --> 00:37:49,720 Speaker 1: of thousands of illegal immigrants who are going to compete 642 00:37:49,719 --> 00:37:52,520 Speaker 1: with work working families of all races in this country. 643 00:37:52,520 --> 00:37:55,040 Speaker 1: By the way, four jobs at a time when we 644 00:37:55,080 --> 00:37:59,360 Speaker 1: have gone through an economic nightmare. That's what's actually happening. 645 00:37:59,360 --> 00:38:01,400 Speaker 1: And they held up aid to everybody who was going 646 00:38:01,480 --> 00:38:06,520 Speaker 1: to get it for over six months. The Democrats, let's 647 00:38:06,560 --> 00:38:10,359 Speaker 1: live in reality, folks. A border crisis gets worse every day, 648 00:38:10,440 --> 00:38:15,359 Speaker 1: more and more people, facilities overrun, FEMA deployed to our 649 00:38:15,560 --> 00:38:19,080 Speaker 1: southern border. But it's not a crisis. The Democrats say, well, 650 00:38:19,120 --> 00:38:20,880 Speaker 1: what is really going on here, and what are the 651 00:38:20,920 --> 00:38:24,200 Speaker 1: politics at work? And what does this mean for the 652 00:38:24,239 --> 00:38:27,040 Speaker 1: future of this country? Some big questions, important ones. We 653 00:38:27,120 --> 00:38:30,120 Speaker 1: got our friend Ryan Gurdusky with us now to talk 654 00:38:30,120 --> 00:38:32,960 Speaker 1: about all that and more. He is the author of 655 00:38:33,040 --> 00:38:36,799 Speaker 1: They're not listening How the elites created the National Populous Revolution. Ryan, 656 00:38:36,880 --> 00:38:39,439 Speaker 1: great to have you back, Thanks for having me. So 657 00:38:40,560 --> 00:38:43,759 Speaker 1: you know your populous revolution. It's interesting because it was 658 00:38:43,800 --> 00:38:47,839 Speaker 1: really a populous revolt against the Gang of Eight. Bill 659 00:38:47,960 --> 00:38:51,040 Speaker 1: back in the day that stopped Rubio and the others 660 00:38:51,440 --> 00:38:55,000 Speaker 1: from being able to get through the amnesty bill. Are 661 00:38:55,080 --> 00:38:59,839 Speaker 1: we seeing the beginnings of a public consciousness about what's 662 00:39:00,080 --> 00:39:02,600 Speaker 1: really happening at our border where the Democrat plan is 663 00:39:03,120 --> 00:39:06,880 Speaker 1: and therefore the pushback from actual Americans, from the actual 664 00:39:06,960 --> 00:39:10,760 Speaker 1: voters could be severe. Or are you seeing a kind 665 00:39:10,760 --> 00:39:14,439 Speaker 1: of apathy toward it right now? Well, I know people 666 00:39:14,440 --> 00:39:17,040 Speaker 1: are upset actually right now the scene and released the 667 00:39:17,120 --> 00:39:20,319 Speaker 1: poll last week where the worst issue for Biden, where 668 00:39:20,360 --> 00:39:23,640 Speaker 1: he was underwater by twelve points with voters, was on immigration. 669 00:39:24,800 --> 00:39:26,839 Speaker 1: Immigration is not an issue that a lot of people 670 00:39:26,920 --> 00:39:29,280 Speaker 1: focus on, especially in the media, until it's a crisis, 671 00:39:29,360 --> 00:39:32,960 Speaker 1: usually pertaining to the border. Right now, on the border, 672 00:39:33,000 --> 00:39:35,480 Speaker 1: we do have a crisis, over one hundred thousand people 673 00:39:35,480 --> 00:39:39,799 Speaker 1: per month coming into the United States, mostly declaring asylums, 674 00:39:39,800 --> 00:39:42,880 Speaker 1: a lot of children and women while I'm trying to 675 00:39:42,880 --> 00:39:48,040 Speaker 1: get into the interior. And then what happens is under Trump, 676 00:39:48,200 --> 00:39:50,320 Speaker 1: we had a political remain in Mexico. They would have 677 00:39:50,320 --> 00:39:53,399 Speaker 1: to wait in Mexico, wait until a judge heard their 678 00:39:53,440 --> 00:39:57,239 Speaker 1: asylum case, asylum claim, and then rule whether it was 679 00:39:58,239 --> 00:40:02,240 Speaker 1: real or not real. Now that policy is basically gone. 680 00:40:02,560 --> 00:40:05,279 Speaker 1: They can come into the interior the United States. They've 681 00:40:06,320 --> 00:40:10,080 Speaker 1: they've filled over capacity all of the detention centers, so 682 00:40:10,120 --> 00:40:12,239 Speaker 1: they get released into the interior. They've put on a 683 00:40:12,239 --> 00:40:14,640 Speaker 1: bus a ship to either a city in California or 684 00:40:14,680 --> 00:40:17,680 Speaker 1: Texas or Arizona, and then from there go wherever they are. 685 00:40:17,719 --> 00:40:20,120 Speaker 1: And they given the ticket saying come back in two 686 00:40:20,200 --> 00:40:24,320 Speaker 1: years to come here an immigration judge. It's a total disaster. 687 00:40:25,160 --> 00:40:29,120 Speaker 1: And this is a disaster created by two people, mostly 688 00:40:29,160 --> 00:40:32,160 Speaker 1: George W. Bush when he changed our asylum laws and 689 00:40:34,040 --> 00:40:36,680 Speaker 1: Joe Biden. Joe Biden when he sat there and started 690 00:40:36,719 --> 00:40:38,959 Speaker 1: gutting when he did two things in the campaign trail. 691 00:40:39,040 --> 00:40:43,600 Speaker 1: He promised illegal aliens both amnesty and free healthcare, and 692 00:40:43,800 --> 00:40:48,600 Speaker 1: started gutting the Trump era immigration laws to protect what's 693 00:40:48,640 --> 00:40:51,760 Speaker 1: going on right now. Trump warned that there were coyotes 694 00:40:51,760 --> 00:40:53,560 Speaker 1: and human smugglers on the other side of the border 695 00:40:53,880 --> 00:40:57,239 Speaker 1: waiting for Joe Biden. I mean Central Americans. They pay 696 00:40:57,320 --> 00:41:02,360 Speaker 1: a lot of attention to American laws, American politicians on immigration. 697 00:41:02,880 --> 00:41:07,279 Speaker 1: So at this point, it's it's reached, it's reached at 698 00:41:07,640 --> 00:41:11,239 Speaker 1: such a level where now they're renting out um. You know, 699 00:41:11,760 --> 00:41:13,839 Speaker 1: the stadiums. I mean, there's a stadium in Dallas where 700 00:41:13,840 --> 00:41:16,200 Speaker 1: they're gonna be just putting thousands of kids, like thousands 701 00:41:16,239 --> 00:41:19,200 Speaker 1: of people and just waiting. And I think the thing 702 00:41:19,239 --> 00:41:22,440 Speaker 1: that annoys Americans the most is their children can't go 703 00:41:22,520 --> 00:41:27,040 Speaker 1: to school in person. But illegal alien children who are 704 00:41:27,040 --> 00:41:29,800 Speaker 1: who are arrested the border are going to school in person. 705 00:41:30,440 --> 00:41:33,480 Speaker 1: You know, we're told not to mask gather until fourth 706 00:41:33,480 --> 00:41:36,720 Speaker 1: of July at a barbecue, and they have three thousand 707 00:41:36,719 --> 00:41:40,319 Speaker 1: people in a stadium in Texas. By the way, most 708 00:41:40,360 --> 00:41:43,160 Speaker 1: of these people are not COVID tested, and there are 709 00:41:43,440 --> 00:41:46,040 Speaker 1: many new strains of COVID coming out of Central America. 710 00:41:46,080 --> 00:41:48,600 Speaker 1: That is so bad actually that the UK and the 711 00:41:48,640 --> 00:41:52,160 Speaker 1: EU have banned flights from Central and South America. So 712 00:41:52,239 --> 00:41:56,560 Speaker 1: we have we have no you know, broad COVID testing, 713 00:41:56,760 --> 00:41:59,080 Speaker 1: We have new strains coming across the border. We have 714 00:41:59,080 --> 00:42:02,200 Speaker 1: a global pandemic if we have high unemployment rates. And 715 00:42:02,440 --> 00:42:06,480 Speaker 1: Joe Biden has single handedly started gutting all the protections 716 00:42:06,520 --> 00:42:10,279 Speaker 1: from safe third country agreements to remain in Mexico to 717 00:42:10,400 --> 00:42:13,200 Speaker 1: the end of catching releases, crew created, catching release again, 718 00:42:14,080 --> 00:42:17,879 Speaker 1: all on our southern border, all for political purposes. None 719 00:42:17,880 --> 00:42:20,719 Speaker 1: of this is for public safety. None of this is 720 00:42:20,760 --> 00:42:25,520 Speaker 1: for protecting American labor, American jobs, or our health. I mean, 721 00:42:25,520 --> 00:42:27,960 Speaker 1: this is a man who ran on COVID over and 722 00:42:28,000 --> 00:42:30,640 Speaker 1: over and over and over again, and with new streems 723 00:42:30,680 --> 00:42:34,719 Speaker 1: of COVID emerging throughout South America and Latin America, he 724 00:42:34,800 --> 00:42:37,480 Speaker 1: has taken the doors open to whoever can get in 725 00:42:37,480 --> 00:42:39,880 Speaker 1: to the United States or you're probably gonna make your way, 726 00:42:40,120 --> 00:42:44,799 Speaker 1: and all the while enriching human smugglers and coyotes and 727 00:42:44,920 --> 00:42:47,880 Speaker 1: drug smugglers, and show the drug cartel the worst of 728 00:42:47,920 --> 00:42:51,280 Speaker 1: the human kind, the people who prey on poor people. 729 00:42:52,680 --> 00:42:56,719 Speaker 1: They are making billions and billions of dollars because of 730 00:42:56,800 --> 00:42:59,640 Speaker 1: Joe Biden. We're speaking Ryan Gredusky, author of They're Not 731 00:42:59,719 --> 00:43:04,480 Speaker 1: Listen and a conservative author commentator, Ryan who is This 732 00:43:04,520 --> 00:43:07,560 Speaker 1: is another question that I always want people to know 733 00:43:07,719 --> 00:43:10,680 Speaker 1: to keep in mind because the Democrats right now, you 734 00:43:10,719 --> 00:43:13,840 Speaker 1: listen to Jen Sack and Joe Biden, they act like, oh, 735 00:43:13,880 --> 00:43:17,520 Speaker 1: don't worry, we're going to We're going to handle this problem. 736 00:43:17,800 --> 00:43:19,560 Speaker 1: But for a lot of people they hear them, they say, oh, 737 00:43:19,600 --> 00:43:23,799 Speaker 1: so you're going to stop the inflow of people into 738 00:43:23,800 --> 00:43:26,520 Speaker 1: the American interior. You know, one hundred thousand a month. 739 00:43:26,840 --> 00:43:30,319 Speaker 1: From what I can tell, basically, everybody's being led into 740 00:43:30,320 --> 00:43:32,239 Speaker 1: the US. I mean they get held for a while 741 00:43:32,320 --> 00:43:34,960 Speaker 1: to process them, to go through some things, but as 742 00:43:35,000 --> 00:43:37,440 Speaker 1: long as they're claiming asylum, which they've all and I 743 00:43:37,480 --> 00:43:38,960 Speaker 1: know this for a fact from when I've been at 744 00:43:38,960 --> 00:43:42,760 Speaker 1: the border. They are told and trained by the actual 745 00:43:42,800 --> 00:43:45,200 Speaker 1: cartel coyotes. I mean they tell them this is what 746 00:43:45,280 --> 00:43:47,560 Speaker 1: you say. They give them risk bands to show that 747 00:43:47,600 --> 00:43:50,720 Speaker 1: they've paid the cartel. Now that's that's a new process 748 00:43:50,719 --> 00:43:54,200 Speaker 1: that's been put in place. But this is all very much, 749 00:43:54,280 --> 00:43:57,719 Speaker 1: you know, a well oiled machine of getting people into 750 00:43:57,719 --> 00:44:00,560 Speaker 1: the United States. Who's not being able to who's being 751 00:44:00,600 --> 00:44:02,360 Speaker 1: turned away? They act like they're turning a lot of 752 00:44:02,400 --> 00:44:04,560 Speaker 1: people away. I don't see. You know, if they were 753 00:44:04,560 --> 00:44:07,799 Speaker 1: telling us that fifty or sixty percent of migrants at 754 00:44:07,800 --> 00:44:10,399 Speaker 1: the border were being sent back right away, I would 755 00:44:10,440 --> 00:44:13,400 Speaker 1: be shocked. They are keeping I mean, they are keeping 756 00:44:13,440 --> 00:44:16,399 Speaker 1: some people away, but it's not many, mostly single men 757 00:44:17,160 --> 00:44:21,600 Speaker 1: or non unaccompanied miners. But if you're a woman or 758 00:44:21,600 --> 00:44:24,560 Speaker 1: a company miner or a family unit, no, you're being 759 00:44:24,600 --> 00:44:28,560 Speaker 1: pressed immediately. So that's why that is. It's causing a 760 00:44:28,600 --> 00:44:32,040 Speaker 1: bigger crisis. Actually, remember when children at the border, children 761 00:44:32,120 --> 00:44:36,120 Speaker 1: are used as as tools in this process where a 762 00:44:36,239 --> 00:44:39,240 Speaker 1: child is put with an adult who is not their relative, 763 00:44:39,239 --> 00:44:41,160 Speaker 1: who is not their family member or their parents being 764 00:44:41,200 --> 00:44:43,480 Speaker 1: told at the border to say that is your family member, 765 00:44:43,840 --> 00:44:48,000 Speaker 1: and then being allowed to come in with adults. That's 766 00:44:48,040 --> 00:44:51,919 Speaker 1: I mean, that's a huge, huge, huge problem, and it's 767 00:44:51,960 --> 00:44:54,920 Speaker 1: only getting worse under the Biden administration. And you have 768 00:44:54,960 --> 00:44:58,080 Speaker 1: this dual kind of narrative that's happening right now. You 769 00:44:58,160 --> 00:45:01,840 Speaker 1: have some Republicans, including some attorney generals now are assuming 770 00:45:01,880 --> 00:45:04,840 Speaker 1: the Biden administration. You have the governor of Texas and 771 00:45:05,080 --> 00:45:07,840 Speaker 1: at least National guardsmen which won't really do anything besides 772 00:45:07,960 --> 00:45:11,640 Speaker 1: process them a little more efficiently. And you have some 773 00:45:11,719 --> 00:45:16,520 Speaker 1: Republican congressman, and you have Democrat Congressman. Congressman Seculer and Gonzalez, 774 00:45:16,600 --> 00:45:21,840 Speaker 1: who represent the Texas Mexico border have come out strongly 775 00:45:21,880 --> 00:45:26,040 Speaker 1: against the Biden administration. And then you have like Congressman Salazar, 776 00:45:26,120 --> 00:45:30,400 Speaker 1: who's a Miami based congressman who is talking about legalizing 777 00:45:30,520 --> 00:45:34,479 Speaker 1: illegal aliens. You have Senator Rick Scott, who I broke 778 00:45:34,520 --> 00:45:39,520 Speaker 1: on Twitter yesterday is preparing a Dhaka amnesty for you know, 779 00:45:39,640 --> 00:45:42,680 Speaker 1: building of the border wall, which would literally do nothing 780 00:45:42,800 --> 00:45:48,360 Speaker 1: to stop the crisis that's happening right now. And you 781 00:45:48,400 --> 00:45:50,560 Speaker 1: have Democrats who are sitting there and talking about a 782 00:45:50,640 --> 00:45:54,360 Speaker 1: mass twenty two twenty to thirty person in my estimate 783 00:45:54,400 --> 00:45:59,280 Speaker 1: and Yale's estimate, amnesty, a mass amnesty which only incentivizes 784 00:45:59,320 --> 00:46:02,080 Speaker 1: more border things. So you have you have a bunch 785 00:46:02,120 --> 00:46:07,640 Speaker 1: of Republicans and Democrats um incentivizing and promoting the idea 786 00:46:07,640 --> 00:46:10,360 Speaker 1: that more people should come, and you have and you 787 00:46:10,440 --> 00:46:13,440 Speaker 1: have a lot of Republicans and a handful of Democrats 788 00:46:13,480 --> 00:46:15,799 Speaker 1: saying no, this is a real, real crisis. I think 789 00:46:15,840 --> 00:46:18,439 Speaker 1: this week, according to Politico, they're going to have two 790 00:46:18,480 --> 00:46:21,719 Speaker 1: amnesty bills voted on in the House, and at least 791 00:46:21,760 --> 00:46:24,800 Speaker 1: ten Republicans have co sponsored one of the amnesty bills. 792 00:46:25,600 --> 00:46:27,600 Speaker 1: Do you do you see a future here, Ryan in 793 00:46:27,680 --> 00:46:33,080 Speaker 1: which there is not at least some kind of major 794 00:46:33,120 --> 00:46:35,200 Speaker 1: amnesty that goes through, Because as far as I see 795 00:46:35,280 --> 00:46:38,960 Speaker 1: this right now, it feels like Democrat if Democrats did 796 00:46:39,000 --> 00:46:42,000 Speaker 1: amnesty for DACA, for all DOCCA people, which also would 797 00:46:42,040 --> 00:46:44,920 Speaker 1: include their families too. But that's there. There's always these 798 00:46:45,320 --> 00:46:49,040 Speaker 1: these attendant you know, people that were they focus on 799 00:46:49,040 --> 00:46:51,520 Speaker 1: one group, but then also anybody that's in the in 800 00:46:51,560 --> 00:46:54,480 Speaker 1: the general vicinity of that group, family members, et cetera, 801 00:46:54,800 --> 00:46:57,160 Speaker 1: also are covered by it. Do you do you see 802 00:46:57,160 --> 00:46:58,960 Speaker 1: a future in which there is in some form of 803 00:46:58,960 --> 00:47:03,359 Speaker 1: mass amnesty, Maybe not for all, however many millions, but two, three, four, 804 00:47:03,480 --> 00:47:06,800 Speaker 1: five millions, something like that. And I mean this year, well, 805 00:47:07,200 --> 00:47:09,480 Speaker 1: this year, I mean, a DOC amnesty would be the 806 00:47:09,520 --> 00:47:12,520 Speaker 1: only thing that could possibly go through. But it's very difficult. 807 00:47:12,560 --> 00:47:16,240 Speaker 1: I mean not when you're having millions on the border 808 00:47:16,560 --> 00:47:19,640 Speaker 1: and you're still having issue a large crisis. I mean, 809 00:47:19,680 --> 00:47:23,320 Speaker 1: that's the problem with granting an amnesty is twofold one. 810 00:47:23,560 --> 00:47:26,440 Speaker 1: Unless you actually fix the immigration system, you're just going 811 00:47:26,480 --> 00:47:28,840 Speaker 1: to have a future amnesty as well. It's not like 812 00:47:29,040 --> 00:47:32,560 Speaker 1: children aren't making their way into the country right now 813 00:47:32,560 --> 00:47:36,160 Speaker 1: who are not DOCA recipients. In fact, probably more are 814 00:47:36,239 --> 00:47:38,960 Speaker 1: making their way who are not docer recipients, but who 815 00:47:38,960 --> 00:47:41,680 Speaker 1: will be future DOC recipients because they meet the criteria, 816 00:47:41,920 --> 00:47:44,439 Speaker 1: they just don't meet the deadlines. So unless you fix 817 00:47:44,480 --> 00:47:46,439 Speaker 1: the problem, we'll have to have another dock in five 818 00:47:46,520 --> 00:47:48,760 Speaker 1: more years. Well, right, we had an amnesty in nineteen 819 00:47:48,760 --> 00:47:52,000 Speaker 1: eighty six with Ronald Reagan, which Reagan admitted he basically 820 00:47:52,080 --> 00:47:54,160 Speaker 1: got swindled. It was a promise that there would be 821 00:47:54,200 --> 00:47:56,520 Speaker 1: border security. We'd never do this again. That it was 822 00:47:56,520 --> 00:47:58,799 Speaker 1: supposed to be a couple of million people. They ended 823 00:47:58,880 --> 00:48:01,439 Speaker 1: up covering like close to three four five million people 824 00:48:01,440 --> 00:48:04,239 Speaker 1: when all said and done, and here we are, you know, 825 00:48:04,400 --> 00:48:07,160 Speaker 1: we went through the nineties. But even even worse was 826 00:48:07,440 --> 00:48:11,600 Speaker 1: judges extended that amnesty for years afterwards. They expanded that 827 00:48:11,680 --> 00:48:16,080 Speaker 1: amnesty through through through judicial process. So any amnesty that 828 00:48:16,120 --> 00:48:18,920 Speaker 1: goes through, you can make it as narrow as possible. 829 00:48:19,200 --> 00:48:22,200 Speaker 1: You could say only left handed people from Guatemala who 830 00:48:22,239 --> 00:48:25,120 Speaker 1: came in between May first and May second, and judges 831 00:48:25,200 --> 00:48:28,080 Speaker 1: will expand it. So it's not going to be what 832 00:48:28,120 --> 00:48:31,120 Speaker 1: anyone thinks it is. Anyone who has this like grandiose idea, 833 00:48:31,200 --> 00:48:34,239 Speaker 1: it's going to be narrow just for children, very compassionate. 834 00:48:34,320 --> 00:48:36,640 Speaker 1: That's a complete lie. Yeah, it's going to get into 835 00:48:36,640 --> 00:48:39,080 Speaker 1: the courts right away. We're talking to you. We're talking 836 00:48:39,080 --> 00:48:41,440 Speaker 1: to Ryan Grodosky, author of They're not listening how the 837 00:48:41,440 --> 00:48:45,879 Speaker 1: elites created the National Populous Revolution Ran. We're talking about 838 00:48:45,880 --> 00:48:49,720 Speaker 1: the border crisis here and what we're facing now as 839 00:48:49,760 --> 00:48:53,200 Speaker 1: a country as a result of this. Where is this 840 00:48:53,600 --> 00:48:56,160 Speaker 1: a problem? When does this turn into a problem for Democrats? 841 00:48:56,160 --> 00:48:58,640 Speaker 1: Because I think that the Democrat Party has managed to 842 00:48:58,640 --> 00:49:03,200 Speaker 1: convince certainly it's base and maybe a solid majority of 843 00:49:03,239 --> 00:49:06,759 Speaker 1: all Democrats that illegal immigration is actually not bad. There's 844 00:49:06,800 --> 00:49:09,360 Speaker 1: no downside to illegal immigration. I think that's where the 845 00:49:09,400 --> 00:49:12,880 Speaker 1: Democrat Party is well. Listen, if you're a woke like 846 00:49:13,040 --> 00:49:17,520 Speaker 1: most Democrats are, you believe that America is a better 847 00:49:17,560 --> 00:49:21,400 Speaker 1: country if it's less white because white people are inherently 848 00:49:21,600 --> 00:49:25,000 Speaker 1: the cause of all social cancers and social ills. So 849 00:49:25,200 --> 00:49:28,440 Speaker 1: why would you not support at abolishment to any border 850 00:49:28,880 --> 00:49:32,040 Speaker 1: or any border laws to diversify the country as fast 851 00:49:32,080 --> 00:49:35,680 Speaker 1: as possible, Because I mean, white people have less political say, 852 00:49:35,880 --> 00:49:39,279 Speaker 1: they're less involved in the political body politics, not the 853 00:49:39,400 --> 00:49:41,880 Speaker 1: less involved, but they have a less proportional representation the 854 00:49:41,960 --> 00:49:45,560 Speaker 1: body politics, and that is an essence a good thing 855 00:49:45,600 --> 00:49:49,520 Speaker 1: according to woke idea. People with the woke ideology, many 856 00:49:49,520 --> 00:49:52,960 Speaker 1: of whom are who are white. I think it gets 857 00:49:52,960 --> 00:49:58,160 Speaker 1: into the problem for Democrats when when independence and Republicans 858 00:49:58,200 --> 00:50:01,279 Speaker 1: are souring on a position and a portion of Democrats, 859 00:50:01,360 --> 00:50:03,719 Speaker 1: like about a fifth of Democrats or maybe an eighth 860 00:50:03,719 --> 00:50:06,640 Speaker 1: of Democrats are summoning on a position of immigration. And 861 00:50:06,680 --> 00:50:08,760 Speaker 1: that's what's happening right now. If you look at public 862 00:50:08,800 --> 00:50:12,760 Speaker 1: polls from CNN, which is not a right wing polling institution, 863 00:50:12,800 --> 00:50:17,879 Speaker 1: they're actually decent CNS poles sometimes, but you're seeing Joe 864 00:50:17,880 --> 00:50:21,640 Speaker 1: Biden's approve. Even PPP, which is a left wing polling institution, 865 00:50:22,080 --> 00:50:24,799 Speaker 1: has Joe Biden's appro ratings under fifty percent for the 866 00:50:24,880 --> 00:50:28,960 Speaker 1: very first time. It's being sunk by the immigration crisis 867 00:50:28,960 --> 00:50:32,000 Speaker 1: at the border, and more than anything else, the things 868 00:50:32,000 --> 00:50:36,200 Speaker 1: that irritate, you know, regular Americans who are a political 869 00:50:36,680 --> 00:50:39,799 Speaker 1: is when they're told to live by double standards, when 870 00:50:39,840 --> 00:50:42,080 Speaker 1: illegal alien children are allowed to go to school in 871 00:50:42,120 --> 00:50:46,640 Speaker 1: person and their children aren't. When illegal alien criminals are 872 00:50:46,680 --> 00:50:49,240 Speaker 1: allowed to which is a new policy under Joe Biden. 873 00:50:49,920 --> 00:50:54,359 Speaker 1: Illegal alien criminals lawyers are allowed to sit there and 874 00:50:54,400 --> 00:50:58,560 Speaker 1: fight against deportation because they say it doesn't or they're 875 00:50:58,560 --> 00:51:01,040 Speaker 1: already on the process of being departed, because they say 876 00:51:01,040 --> 00:51:03,720 Speaker 1: it doesn't fill out with what Joe Biden's executive order state. 877 00:51:04,000 --> 00:51:05,319 Speaker 1: So they could stay in the country even if they 878 00:51:05,360 --> 00:51:07,880 Speaker 1: committed a crime because it's it's it's not within the 879 00:51:07,920 --> 00:51:10,719 Speaker 1: crime per view of what Joe Biden's that are their 880 00:51:10,760 --> 00:51:17,000 Speaker 1: deportation priorities, um, when when, when they're when taxes don't 881 00:51:17,000 --> 00:51:19,600 Speaker 1: have to be paid, when services can be can be extended, 882 00:51:19,800 --> 00:51:22,919 Speaker 1: When all these things happen, they just feel like it's 883 00:51:23,040 --> 00:51:26,520 Speaker 1: rigged against them, and it creates a boiling point that 884 00:51:26,560 --> 00:51:29,080 Speaker 1: they look to a leader like Donald Trump. No even 885 00:51:29,080 --> 00:51:31,359 Speaker 1: not Donald Trump in twenty twenty four, but a leader 886 00:51:31,360 --> 00:51:34,960 Speaker 1: who sits there and points obvious things that everyone sees 887 00:51:35,000 --> 00:51:37,080 Speaker 1: but are afraid to talk about. When it comes to 888 00:51:38,440 --> 00:51:40,440 Speaker 1: a portion of this country are allowed to live a 889 00:51:40,480 --> 00:51:43,640 Speaker 1: certain way, Well, we have to live by different rules 890 00:51:43,680 --> 00:51:47,320 Speaker 1: and standards, and that irritates the hell out of average America. 891 00:51:47,400 --> 00:51:50,359 Speaker 1: What is the Republican way out of this? I think 892 00:51:50,400 --> 00:51:52,879 Speaker 1: that's another you know I've got. I got very frustrated 893 00:51:53,239 --> 00:51:55,560 Speaker 1: during the Trump years because we talked a lot about 894 00:51:55,800 --> 00:51:57,160 Speaker 1: we heard a lot in the early days about how 895 00:51:57,160 --> 00:51:59,520 Speaker 1: bad Obamacare was and we're going to have this great 896 00:51:59,520 --> 00:52:02,400 Speaker 1: Republican healthcare plan. It didn't happen. Okay, I mean, if 897 00:52:02,400 --> 00:52:03,920 Speaker 1: people can sit around and talk about how it was 898 00:52:03,960 --> 00:52:06,040 Speaker 1: going to happen, or you know, the obstruction or whatever. 899 00:52:06,280 --> 00:52:08,280 Speaker 1: We had the House, we had, the Senate, it didn't happen. 900 00:52:09,200 --> 00:52:13,040 Speaker 1: What are Republicans going to do to solve this if 901 00:52:13,040 --> 00:52:15,560 Speaker 1: they could? I mean, what is the approach well that 902 00:52:15,640 --> 00:52:17,640 Speaker 1: we could actually go we could go forward with Now, 903 00:52:18,040 --> 00:52:21,120 Speaker 1: the most important thing Republicans can do is their attorney 904 00:52:21,200 --> 00:52:25,280 Speaker 1: generals can sue the Biden administration and get nationwide injunctions 905 00:52:25,280 --> 00:52:28,040 Speaker 1: on many of these rules, which is finally happening. The 906 00:52:28,040 --> 00:52:31,600 Speaker 1: Florida AG Moody, she just made a lawsuit today over 907 00:52:31,640 --> 00:52:33,400 Speaker 1: some portion of the immigration goal. I haven't seen in 908 00:52:33,400 --> 00:52:37,279 Speaker 1: the court case. Eleven Republican attorney generals have sued over 909 00:52:37,560 --> 00:52:40,880 Speaker 1: Biden is stripping the public charge rule, which denies green 910 00:52:40,960 --> 00:52:46,560 Speaker 1: card holder green cards to aliens legal aliens, they cannot 911 00:52:46,560 --> 00:52:49,080 Speaker 1: get green cards if they owe money the federal government 912 00:52:49,120 --> 00:52:53,320 Speaker 1: through welfare. A lot of them have sued over catch 913 00:52:53,360 --> 00:52:56,759 Speaker 1: and release and over remain in Mexico. I mean they're 914 00:52:56,760 --> 00:52:59,759 Speaker 1: starting to sue. That is our main ability to fight 915 00:52:59,840 --> 00:53:02,640 Speaker 1: is in the courts and trying to get nationwide injunctions 916 00:53:02,640 --> 00:53:05,279 Speaker 1: to at least slow the process for a year and 917 00:53:05,360 --> 00:53:07,120 Speaker 1: maybe get to the Supreme Court and kind of see 918 00:53:07,120 --> 00:53:09,719 Speaker 1: what happens. Although it's very difficult to see how the 919 00:53:09,719 --> 00:53:12,839 Speaker 1: Supreme Court rule like that because the executives so much 920 00:53:12,840 --> 00:53:17,120 Speaker 1: purview over immigration, but nonetheless at least slow the process down. 921 00:53:17,600 --> 00:53:19,719 Speaker 1: And then with the Republican Congress. Look, I mean, at 922 00:53:19,719 --> 00:53:21,560 Speaker 1: the end of the day, you can talk about as 923 00:53:21,600 --> 00:53:24,280 Speaker 1: many not you, but anyone can talk as many compassionate 924 00:53:24,360 --> 00:53:26,960 Speaker 1: things as they want to do with the children or 925 00:53:27,000 --> 00:53:30,040 Speaker 1: with this. The asylum laws in this country, which grant 926 00:53:30,400 --> 00:53:33,680 Speaker 1: massive amount of waivers to anyone who says that they 927 00:53:33,680 --> 00:53:36,319 Speaker 1: were an abusive situation, that they have a gang after them, 928 00:53:36,360 --> 00:53:39,400 Speaker 1: that their government is corrupt, is what's creating this crisis. 929 00:53:39,560 --> 00:53:44,000 Speaker 1: The asylum laws one have to change more than anything else. 930 00:53:44,040 --> 00:53:46,640 Speaker 1: More than a border wall. We need a legal wall, 931 00:53:47,000 --> 00:53:50,400 Speaker 1: a legal wall that sits there and redefines how we 932 00:53:50,480 --> 00:53:55,479 Speaker 1: process asylum in this country, and you know, and start 933 00:53:55,560 --> 00:53:58,799 Speaker 1: working on new third safe country agreements, and actually get 934 00:53:58,840 --> 00:54:03,360 Speaker 1: all of Trump's executive orders on remain in Mexico, for instance, 935 00:54:03,960 --> 00:54:07,120 Speaker 1: make that into an actual law that's that's on the books, 936 00:54:07,120 --> 00:54:10,120 Speaker 1: not just an executive order, but a congressional law. Those 937 00:54:10,160 --> 00:54:11,920 Speaker 1: things have to happen, and they have to be the 938 00:54:11,960 --> 00:54:15,200 Speaker 1: main priority. This last week, Republicans, what are they talking 939 00:54:15,200 --> 00:54:19,960 Speaker 1: about abolishing the estate tax? I mean, it's it's they 940 00:54:20,000 --> 00:54:23,440 Speaker 1: are some of them are truly living in an other world. 941 00:54:23,840 --> 00:54:26,440 Speaker 1: I mean Kevin McCarthy brought members on the board to 942 00:54:26,520 --> 00:54:29,279 Speaker 1: see what happened. They said, it's a humanitarian crisis, which 943 00:54:29,320 --> 00:54:33,680 Speaker 1: it is, um but that's not enough, uh, you know, 944 00:54:33,719 --> 00:54:35,319 Speaker 1: in order to that there and actually get a real 945 00:54:35,360 --> 00:54:38,520 Speaker 1: answer on the illegal alien problem, we need to change 946 00:54:38,520 --> 00:54:42,080 Speaker 1: our asylum laws. You know, first and foremost. You think 947 00:54:42,360 --> 00:54:44,239 Speaker 1: we've just got about a minute left. What do you 948 00:54:44,239 --> 00:54:47,840 Speaker 1: think of the chances that this Biden administration? You know, 949 00:54:47,840 --> 00:54:49,600 Speaker 1: what would you say the percentage chances are that that 950 00:54:49,680 --> 00:54:55,680 Speaker 1: it achieves amnesty. Oh, I don't know, fift so not 951 00:54:55,760 --> 00:54:57,600 Speaker 1: that high. You actually think they might not get there 952 00:54:57,760 --> 00:55:01,520 Speaker 1: abroad amnesty, it's never gonna win. Rubio and Graham came 953 00:55:01,520 --> 00:55:03,520 Speaker 1: out in the Senate and said, if we're not going 954 00:55:03,560 --> 00:55:05,879 Speaker 1: to support an amnesty, you could see by who they're 955 00:55:05,880 --> 00:55:08,520 Speaker 1: working with. They're getting Bob Menendez to push the amnesty. 956 00:55:08,560 --> 00:55:11,319 Speaker 1: He brings no broad consensus with the Republicans. If it 957 00:55:11,360 --> 00:55:14,040 Speaker 1: was Dick Dervi, I would say we have a serious threat. 958 00:55:14,080 --> 00:55:16,920 Speaker 1: But but Bob Menendez does not bring anybody, and the 959 00:55:17,000 --> 00:55:19,680 Speaker 1: House is moving, you don't think they'll break the filibuster 960 00:55:19,760 --> 00:55:23,080 Speaker 1: over this. No, no, not a chance. I just don't 961 00:55:23,120 --> 00:55:24,880 Speaker 1: think that they're going to do it over over amnesty. 962 00:55:25,000 --> 00:55:27,799 Speaker 1: What about HR one? You know, I don't don't. I 963 00:55:27,800 --> 00:55:29,080 Speaker 1: don't think that. I don't think they want to break 964 00:55:29,080 --> 00:55:31,600 Speaker 1: the filibuster. I think there's probably nine Democrats in the Senate. 965 00:55:31,719 --> 00:55:33,640 Speaker 1: They're all hoping for Joe Mansion. But if it's not 966 00:55:33,719 --> 00:55:36,959 Speaker 1: Joe Manchin as Christen Cinema, it's not her, it's Maggie Hassam. 967 00:55:37,000 --> 00:55:39,359 Speaker 1: If it's not him, it's John Tester. There's a lot 968 00:55:39,400 --> 00:55:42,360 Speaker 1: of Democrats who do not want to break the filibuster. 969 00:55:42,800 --> 00:55:45,080 Speaker 1: Not quite as radical as some of us are thinking. 970 00:55:45,080 --> 00:55:46,520 Speaker 1: We'll have to see. Ryan will have you back on 971 00:55:46,560 --> 00:55:48,799 Speaker 1: this one. Check out his book. They're not listening how 972 00:55:48,840 --> 00:55:52,040 Speaker 1: the elites created the National populous Revolution? Ryan or Dusky everybody? Ryan, 973 00:55:52,080 --> 00:55:55,000 Speaker 1: thanks so much, thank you. We should not get so 974 00:55:55,200 --> 00:55:59,479 Speaker 1: fixated on this elusive number of herd immunity. We should 975 00:55:59,560 --> 00:56:03,200 Speaker 1: just be concerned about getting as many people vaccinated as 976 00:56:03,239 --> 00:56:07,280 Speaker 1: quickly as we possibly can. Because her immunity is still 977 00:56:07,440 --> 00:56:11,000 Speaker 1: somewhat of an elusive number we made a projection of 978 00:56:11,080 --> 00:56:15,400 Speaker 1: it would likely be I've said many times somewhere between 979 00:56:15,480 --> 00:56:18,640 Speaker 1: seventy and eighty five percent, But we don't know that's 980 00:56:18,680 --> 00:56:22,239 Speaker 1: for sure. So rather than six stating on that, why 981 00:56:22,239 --> 00:56:25,000 Speaker 1: don't we just say, get as many people vaccinated as 982 00:56:25,040 --> 00:56:29,000 Speaker 1: quickly as you possibly can, and every day that goes by. Now, 983 00:56:29,040 --> 00:56:32,640 Speaker 1: with more than two million doses going into people, we're 984 00:56:32,680 --> 00:56:36,400 Speaker 1: getting closer and closer to control of this pandemic. I 985 00:56:36,440 --> 00:56:39,480 Speaker 1: think we should be closer and closer to telling Fauci 986 00:56:39,640 --> 00:56:43,640 Speaker 1: to shut the heck up. That's what I think. This 987 00:56:43,760 --> 00:56:46,560 Speaker 1: guy is not useful. He's wrong over and over again. 988 00:56:47,080 --> 00:56:52,719 Speaker 1: He is a nightmare. Okay, this guy is nothing but downside. 989 00:56:52,760 --> 00:56:55,160 Speaker 1: I mean the fact that he's saying we might be 990 00:56:55,239 --> 00:56:58,360 Speaker 1: able to get to a point where we can actually 991 00:56:58,400 --> 00:57:03,080 Speaker 1: have a small gathering the fourth of July entirely conceived, 992 00:57:03,560 --> 00:57:07,040 Speaker 1: entirely conceivable, he says. I mean, I think it's also 993 00:57:07,280 --> 00:57:12,080 Speaker 1: entirely conceivable that doctor Fauci is pretty much worthless, and 994 00:57:12,239 --> 00:57:16,240 Speaker 1: every American with a shred of critical thinking skills is 995 00:57:16,360 --> 00:57:20,720 Speaker 1: already ignoring him. Right, we know what is dangerous and 996 00:57:20,760 --> 00:57:24,080 Speaker 1: what's not. We don't need Fauci to keep on readjusting 997 00:57:24,520 --> 00:57:27,280 Speaker 1: the thermometer of our lives every day. Oh you know 998 00:57:27,280 --> 00:57:29,280 Speaker 1: a little too hot, little too cold. Oh no, that's 999 00:57:29,320 --> 00:57:32,840 Speaker 1: just right. You know, I want my porridge not too hot, 1000 00:57:32,960 --> 00:57:35,880 Speaker 1: not too cold, just right. That's that's the Fauci approach. 1001 00:57:36,680 --> 00:57:40,360 Speaker 1: He can't live your life that way. You just can't 1002 00:57:40,360 --> 00:57:44,680 Speaker 1: do it, all right, It's not not feasible to live 1003 00:57:44,720 --> 00:57:47,880 Speaker 1: your life that way. And yet that is what Fauci 1004 00:57:48,520 --> 00:57:52,440 Speaker 1: seems to demand. That is what he seems to insist on, 1005 00:57:53,200 --> 00:57:56,040 Speaker 1: and I think it's it's outrageous. I also think it's 1006 00:57:56,040 --> 00:58:02,200 Speaker 1: outrageous that they're acting like the problem with vaccines right now, 1007 00:58:02,880 --> 00:58:08,120 Speaker 1: the problem with vaccines has to do with Trump in 1008 00:58:08,160 --> 00:58:10,480 Speaker 1: some kebad like they're still looking for the boogeyman, right. 1009 00:58:10,480 --> 00:58:13,280 Speaker 1: They still want to pretend that the issue here is 1010 00:58:13,600 --> 00:58:19,720 Speaker 1: Donald Trump. Here is an Admiral Jurwar who's saying the 1011 00:58:19,760 --> 00:58:22,640 Speaker 1: following about this play ten, here's the problem. In a 1012 00:58:22,720 --> 00:58:26,360 Speaker 1: CNN poll, forty six percent of Republicans say they will 1013 00:58:26,480 --> 00:58:29,320 Speaker 1: not try to get a vaccine. And obviously there's one 1014 00:58:29,360 --> 00:58:31,800 Speaker 1: person with a lot of influence over that group, former 1015 00:58:31,840 --> 00:58:36,080 Speaker 1: President Trump. Do you think he should be actively encouraging 1016 00:58:36,160 --> 00:58:39,840 Speaker 1: his followers to get the vaccines that were developed under 1017 00:58:39,880 --> 00:58:44,040 Speaker 1: his own administration. Under the Trump administration's Operation warp speed. Well, 1018 00:58:44,080 --> 00:58:46,840 Speaker 1: thanks for having me on, and of course the answer 1019 00:58:46,920 --> 00:58:49,720 Speaker 1: is yes. I think all of us in the medical community, 1020 00:58:50,720 --> 00:58:54,120 Speaker 1: in the liturgical community, and I think it's very important 1021 00:58:54,160 --> 00:58:57,240 Speaker 1: for former President Trump as well as the Vice president 1022 00:58:57,320 --> 00:59:00,520 Speaker 1: to actively encourage all the followers to get the vaccine. 1023 00:59:00,880 --> 00:59:04,120 Speaker 1: This is something that the Trump administration developed under its time, 1024 00:59:04,480 --> 00:59:07,440 Speaker 1: and I think all of the above, including the former 1025 00:59:07,440 --> 00:59:10,160 Speaker 1: president speaking out, would be very important. I did not 1026 00:59:10,360 --> 00:59:15,120 Speaker 1: know that he was vaccinated until I heard it as 1027 00:59:15,120 --> 00:59:17,880 Speaker 1: it was reported in the news. I get a little 1028 00:59:17,920 --> 00:59:24,280 Speaker 1: hesitant to make judgments about people's private medical decisions about 1029 00:59:24,280 --> 00:59:27,800 Speaker 1: whether there could have been, you know, potential issues that 1030 00:59:27,840 --> 00:59:29,760 Speaker 1: he did not want to make it public. But I 1031 00:59:29,800 --> 00:59:31,880 Speaker 1: think the point now is, and I think this is 1032 00:59:31,880 --> 00:59:34,000 Speaker 1: where we are, that we all have to get together 1033 00:59:34,400 --> 00:59:39,160 Speaker 1: and urge every American. The people who follow former president 1034 00:59:39,200 --> 00:59:41,760 Speaker 1: are very committed to President Trump, and I think his 1035 00:59:41,920 --> 00:59:46,120 Speaker 1: leadership still matters a great deal. I think there's a 1036 00:59:46,120 --> 00:59:47,920 Speaker 1: lot that I want to say about this and just 1037 00:59:48,000 --> 00:59:50,480 Speaker 1: about the vaccines and the whole process and everything else here, 1038 00:59:51,000 --> 00:59:55,480 Speaker 1: but let's first have Biden. Interestantly, enough, Biden was out 1039 00:59:55,480 --> 01:00:00,800 Speaker 1: there telling everybody that forget about Trump, people are more 1040 01:00:00,840 --> 01:00:05,440 Speaker 1: important when it comes to Maga folks getting the vaccine. 1041 01:00:05,520 --> 01:00:07,560 Speaker 1: So we got a little bit of a conflicting message 1042 01:00:07,600 --> 01:00:10,720 Speaker 1: here from the Libs. What a surprise play nine. I 1043 01:00:10,840 --> 01:00:13,760 Speaker 1: discussed it with my team and they say, the thing 1044 01:00:13,760 --> 01:00:17,280 Speaker 1: that has more impact than anything Trump would say to 1045 01:00:17,600 --> 01:00:22,400 Speaker 1: the Maga folks is what the local doctor, what the 1046 01:00:22,520 --> 01:00:25,760 Speaker 1: local preachers, what the local people in the community saying. 1047 01:00:26,280 --> 01:00:31,440 Speaker 1: So I urge, I urge all local docts and ministers 1048 01:00:31,440 --> 01:00:35,760 Speaker 1: and priests, and to talk about why why it's important 1049 01:00:36,320 --> 01:00:39,560 Speaker 1: to get to get that vaccine and even after that, 1050 01:00:39,680 --> 01:00:47,280 Speaker 1: and so everyone is in fact vaccinated, everyone has to 1051 01:00:47,280 --> 01:00:53,200 Speaker 1: get vaccinated. Huh does that mean children? Children? Past that 1052 01:00:53,720 --> 01:00:57,920 Speaker 1: this disease basically, thank God, bounces off kids. Did they 1053 01:00:58,480 --> 01:01:00,760 Speaker 1: get it? It's like maybe a sniffle and then they're fine. 1054 01:01:01,280 --> 01:01:05,080 Speaker 1: And they're also not very important vectors of the disease 1055 01:01:05,120 --> 01:01:07,480 Speaker 1: for adults, so they're not a high risk for giving 1056 01:01:07,520 --> 01:01:09,400 Speaker 1: it to adults, even if they do get the disease. 1057 01:01:10,280 --> 01:01:12,160 Speaker 1: And if we want to get to her immunity, aren't 1058 01:01:12,240 --> 01:01:14,640 Speaker 1: children getting this because children are basically fine. I mean, 1059 01:01:14,680 --> 01:01:17,160 Speaker 1: I think you've had you've had millions of infections of 1060 01:01:17,240 --> 01:01:20,440 Speaker 1: children across the country and something like maybe maybe one 1061 01:01:20,520 --> 01:01:23,680 Speaker 1: hundred one hundred deaths in total from COVID nineteen, which 1062 01:01:23,720 --> 01:01:26,880 Speaker 1: is actually less than what you what you see for 1063 01:01:26,880 --> 01:01:31,000 Speaker 1: people under eighteen any given year from the flu. I mean, 1064 01:01:31,040 --> 01:01:32,919 Speaker 1: I'll never forget. I had a friend in media who 1065 01:01:33,000 --> 01:01:37,320 Speaker 1: died in twenty four hours from the swine flu, perfectly healthy, 1066 01:01:37,600 --> 01:01:40,480 Speaker 1: a wonderful young woman. It was really tragic and sad 1067 01:01:41,200 --> 01:01:45,600 Speaker 1: and just it's one of those freak things that can happen. 1068 01:01:45,640 --> 01:01:47,760 Speaker 1: I mean, you can get you can get the flu 1069 01:01:47,840 --> 01:01:49,400 Speaker 1: and it just hits your system at the wrong time 1070 01:01:49,440 --> 01:01:51,200 Speaker 1: in the wrong way, and it was swine flu in 1071 01:01:51,240 --> 01:01:53,520 Speaker 1: that case. But we all live with these risks all 1072 01:01:53,560 --> 01:01:56,920 Speaker 1: the time. But I want to know what we actually 1073 01:01:56,960 --> 01:01:58,720 Speaker 1: should be willing to live with these risks all the time. 1074 01:01:58,800 --> 01:02:03,400 Speaker 1: I want to know what the vaccine with the vaccine 1075 01:02:03,480 --> 01:02:05,960 Speaker 1: rules are really going to be here, because you see 1076 01:02:06,000 --> 01:02:08,520 Speaker 1: what they do is they it starts as a suggestion 1077 01:02:09,440 --> 01:02:14,160 Speaker 1: and then it becomes coercion. It starts as we really 1078 01:02:14,200 --> 01:02:16,280 Speaker 1: like you to do this thing. Hey guys, I think 1079 01:02:16,280 --> 01:02:18,640 Speaker 1: you should wear a mask, and then it's you can't 1080 01:02:18,640 --> 01:02:21,120 Speaker 1: go anywhere without wearing a mask. And if you don't 1081 01:02:21,120 --> 01:02:22,960 Speaker 1: wear a mask. We're gonna find you, and maybe we're 1082 01:02:22,960 --> 01:02:25,640 Speaker 1: gonna throw you in jail. It always starts as a 1083 01:02:25,640 --> 01:02:28,760 Speaker 1: suggestion from the government, and then and then what is 1084 01:02:28,800 --> 01:02:36,160 Speaker 1: suggested becomes mandatory, and what is mandatory becomes mandated through law, 1085 01:02:36,360 --> 01:02:40,480 Speaker 1: through punishment of the legal system, and then if you 1086 01:02:40,600 --> 01:02:44,520 Speaker 1: challenge it, then they come after you. And I gotta 1087 01:02:44,560 --> 01:02:48,680 Speaker 1: stay with these vaccines. You know, if people who are 1088 01:02:48,840 --> 01:02:51,840 Speaker 1: of who are at high risk have had plenty of 1089 01:02:51,840 --> 01:02:55,360 Speaker 1: opportunity for a ninety five percent effective vaccine, it's going 1090 01:02:55,360 --> 01:02:58,200 Speaker 1: to protect them. Are we really supposed to continue to 1091 01:02:58,240 --> 01:03:01,320 Speaker 1: live with all these restrictions in society because people who 1092 01:03:01,320 --> 01:03:05,320 Speaker 1: are at a legitimately acceptable risk themselves don't want to 1093 01:03:05,320 --> 01:03:09,080 Speaker 1: get this. You know, they just shut down and trust me, 1094 01:03:09,120 --> 01:03:12,040 Speaker 1: I'm very aware of this. They just shut down a 1095 01:03:12,200 --> 01:03:17,760 Speaker 1: whole bunch of European countries that were where we're giving 1096 01:03:17,800 --> 01:03:25,080 Speaker 1: out the vaccine from astra Zenica. They stopped doing this, okay, 1097 01:03:25,880 --> 01:03:30,000 Speaker 1: but they stopped this in a number of countries. But 1098 01:03:30,120 --> 01:03:32,640 Speaker 1: now the EU is saying they're convinced the astra Zenica 1099 01:03:32,720 --> 01:03:35,400 Speaker 1: benefits outweigh the risk. I mean, they shut it down 1100 01:03:35,400 --> 01:03:37,920 Speaker 1: in like France. Here we go This is from the 1101 01:03:37,960 --> 01:03:41,720 Speaker 1: ap With coronavirus cases rising in many places, governments faced 1102 01:03:41,720 --> 01:03:44,560 Speaker 1: the grimmest of dilemmas push on the vaccine that has 1103 01:03:44,600 --> 01:03:47,240 Speaker 1: nosed to say known to save lives, or suspend use 1104 01:03:47,240 --> 01:03:51,600 Speaker 1: of astra Zenica over reports of dangerous blood clots and 1105 01:03:51,640 --> 01:03:55,080 Speaker 1: a few recipients, even as the European regulators said there 1106 01:03:55,160 --> 01:03:59,120 Speaker 1: was no indication the shot was responsible. It has created 1107 01:03:59,200 --> 01:04:04,400 Speaker 1: a jagged divide across the globe, forcing politicians to a 1108 01:04:03,880 --> 01:04:07,320 Speaker 1: self assess the health risks of halting the shots at 1109 01:04:07,320 --> 01:04:09,720 Speaker 1: a time in many countries, especially in Europe, are already 1110 01:04:09,760 --> 01:04:16,000 Speaker 1: struggling to overcome logistical hurdles and vaccine hesitancy among their populations. 1111 01:04:16,040 --> 01:04:18,560 Speaker 1: Sweden was the latest to join a swelling group of 1112 01:04:18,600 --> 01:04:22,560 Speaker 1: European Union nations choosing caution over speed, even as the 1113 01:04:22,600 --> 01:04:25,680 Speaker 1: head of the European Medicine's Agency said the agency has 1114 01:04:25,720 --> 01:04:29,880 Speaker 1: firmly convinced the benefits of astra Zeneca outweigh the risks. 1115 01:04:30,280 --> 01:04:34,760 Speaker 1: So there are a number of major European countries that 1116 01:04:34,920 --> 01:04:40,400 Speaker 1: have stop with this. Germany, Italy, France, Spain, all I mean, 1117 01:04:40,520 --> 01:04:46,440 Speaker 1: those are really the biggest EU countries all suspended it. 1118 01:04:46,520 --> 01:04:50,600 Speaker 1: So I think it's so interesting as well. The suppression 1119 01:04:50,600 --> 01:04:54,520 Speaker 1: efforts on social media around vaccines have I think made 1120 01:04:54,560 --> 01:04:57,880 Speaker 1: this whole campaign worse. They've made this all more difficult 1121 01:04:58,520 --> 01:05:02,600 Speaker 1: because people feel like there's only one approved narrative allowed. 1122 01:05:03,240 --> 01:05:05,200 Speaker 1: You know, there can be official statements, there can be 1123 01:05:05,280 --> 01:05:08,760 Speaker 1: CDC and government statements, and that's all fine. But when 1124 01:05:09,080 --> 01:05:12,000 Speaker 1: the only thing that's allowed our official statements, especially when 1125 01:05:12,000 --> 01:05:16,200 Speaker 1: we've seen those official bodies be wrong, I mean flat 1126 01:05:16,200 --> 01:05:18,520 Speaker 1: out wrong at different Do I have to play the 1127 01:05:18,520 --> 01:05:21,280 Speaker 1: audio of Fauci's saying masks or a joke outside by 1128 01:05:21,280 --> 01:05:23,000 Speaker 1: the way, he was right then, But that's a whole 1129 01:05:23,000 --> 01:05:26,200 Speaker 1: other conversation. Do I have to say that? You know 1130 01:05:26,200 --> 01:05:27,840 Speaker 1: that they have to play these things for you where 1131 01:05:27,880 --> 01:05:30,840 Speaker 1: they've admitted that they got it wrong. We all know that. 1132 01:05:31,840 --> 01:05:34,680 Speaker 1: But yet, even though we understand that these organizations are 1133 01:05:35,280 --> 01:05:40,160 Speaker 1: are quite fallible and that they're also making policy decisions 1134 01:05:40,240 --> 01:05:43,200 Speaker 1: about the public that are supposed to weigh benefit and risk, 1135 01:05:44,160 --> 01:05:47,680 Speaker 1: they are only allowing certain narrative. They're only allowing certain 1136 01:05:47,800 --> 01:05:53,680 Speaker 1: things to be said, and it's wrong. It's wrong what 1137 01:05:53,720 --> 01:06:00,320 Speaker 1: they're doing. You know. The antidote to misinformation about any 1138 01:06:00,360 --> 01:06:03,240 Speaker 1: health issue or whatever is for people to make the 1139 01:06:03,320 --> 01:06:06,760 Speaker 1: case and show that it's wrong. It's not censorship and 1140 01:06:06,880 --> 01:06:10,520 Speaker 1: shut this down. And you can't say this, you know. 1141 01:06:10,720 --> 01:06:13,680 Speaker 1: And by the way, they don't. They pretend on the 1142 01:06:13,720 --> 01:06:17,240 Speaker 1: social media platforms that they just will put a you know, 1143 01:06:17,640 --> 01:06:20,720 Speaker 1: here's a I mean I got recently on my Facebook page, 1144 01:06:20,720 --> 01:06:22,600 Speaker 1: which I hope you're all following me on Facebook. If 1145 01:06:22,600 --> 01:06:25,440 Speaker 1: you're not, please do buck Sexton Facebook dot com slash 1146 01:06:25,440 --> 01:06:29,480 Speaker 1: buck Sexton. But my team we got hit with a 1147 01:06:29,520 --> 01:06:33,280 Speaker 1: misleading post because someone shared it. We shared a photo 1148 01:06:33,880 --> 01:06:37,520 Speaker 1: of gas prices at a gas station in California, and 1149 01:06:37,600 --> 01:06:41,160 Speaker 1: Facebook says it's misleading because, well, that's not the national average. 1150 01:06:42,040 --> 01:06:44,480 Speaker 1: I didn't say it was the national average. I didn't 1151 01:06:44,480 --> 01:06:49,280 Speaker 1: say it's representative of but it is an evidentiary point 1152 01:06:49,800 --> 01:06:52,280 Speaker 1: about how high gas prices are going in some places. 1153 01:06:52,360 --> 01:06:55,800 Speaker 1: It was real, it wasn't doctored. You know. This would 1154 01:06:55,800 --> 01:06:58,880 Speaker 1: be like say if I showed a photograph of a 1155 01:06:58,920 --> 01:07:02,320 Speaker 1: homeless encampment near Times Square, which there's been a lot 1156 01:07:02,320 --> 01:07:04,960 Speaker 1: of that in New York City recently, and I say, wow, 1157 01:07:05,000 --> 01:07:06,840 Speaker 1: the homeless problem in New York is getting really bad, 1158 01:07:07,120 --> 01:07:10,360 Speaker 1: and Facebook hits me with a you know, missing context 1159 01:07:11,200 --> 01:07:15,080 Speaker 1: or you know, could could lead to misperception because there 1160 01:07:15,120 --> 01:07:16,960 Speaker 1: are a lot of other people that aren't homeless and 1161 01:07:17,000 --> 01:07:18,960 Speaker 1: you're only showing a photo of the home. That's what 1162 01:07:19,000 --> 01:07:23,640 Speaker 1: we've come to, folks. That's happening now. And with vaccines, 1163 01:07:24,400 --> 01:07:28,200 Speaker 1: you ask, you raise any questions about all vaccines have 1164 01:07:28,680 --> 01:07:33,840 Speaker 1: some risk, some risk of side effect. That's a reality, right. 1165 01:07:33,880 --> 01:07:35,760 Speaker 1: And you know, I'm not anti vax I've gotten a 1166 01:07:35,800 --> 01:07:37,560 Speaker 1: ton of I've gotten more vaccines than I mean, I 1167 01:07:37,560 --> 01:07:40,280 Speaker 1: can literally can't remember all the vaccines I've gotten. When 1168 01:07:40,320 --> 01:07:41,760 Speaker 1: I was in the CIA, they sent me to some 1169 01:07:41,800 --> 01:07:43,960 Speaker 1: really nasty places. So it was, you know, here's this 1170 01:07:44,000 --> 01:07:45,760 Speaker 1: shot and that shot and this shot, and I mean 1171 01:07:45,800 --> 01:07:50,000 Speaker 1: I was just like a pincushion. But I understand that 1172 01:07:50,000 --> 01:07:51,280 Speaker 1: you can have a bed the same way that you 1173 01:07:51,360 --> 01:07:53,680 Speaker 1: can have a bad reaction to Thaylan all. You know, 1174 01:07:53,720 --> 01:07:55,880 Speaker 1: you could have stomach bleeding from a seat of menafin. 1175 01:07:55,920 --> 01:07:58,400 Speaker 1: That can happen. You know, usually it's if you take 1176 01:07:58,440 --> 01:08:00,280 Speaker 1: too much of it. But what's too much depends in 1177 01:08:00,320 --> 01:08:03,960 Speaker 1: the individual anyway. Point here being when they don't allow 1178 01:08:04,240 --> 01:08:07,400 Speaker 1: discussion about this to happen, when they shut it down 1179 01:08:07,400 --> 01:08:11,760 Speaker 1: and punish people, then we get to situations like this where, Okay, 1180 01:08:11,800 --> 01:08:15,120 Speaker 1: if somebody was talking about astra zenica side effects a 1181 01:08:15,200 --> 01:08:18,160 Speaker 1: month ago and we're told they're an anti vax lunatic. 1182 01:08:19,320 --> 01:08:23,120 Speaker 1: Now they see this that Italy, Spain, France, and Germany, 1183 01:08:23,520 --> 01:08:29,439 Speaker 1: nations with hundreds of millions of people, have suspended these 1184 01:08:29,520 --> 01:08:33,480 Speaker 1: vaccinations because or this vaccination rather this one type of vaccination, 1185 01:08:34,080 --> 01:08:38,080 Speaker 1: because of concerns over a side effect. What that does 1186 01:08:38,120 --> 01:08:41,080 Speaker 1: that raise trust in the public discourse around this, I 1187 01:08:41,120 --> 01:08:42,960 Speaker 1: think we all know the answer. It makes us feel 1188 01:08:43,000 --> 01:08:46,080 Speaker 1: like there's only the approved narrative and everything else is 1189 01:08:46,080 --> 01:08:50,639 Speaker 1: shut down, and that makes us distrustful of the official narrative. 1190 01:08:50,960 --> 01:08:55,559 Speaker 1: And this is what the lockdown censoring left doesn't understand 1191 01:08:55,640 --> 01:08:58,080 Speaker 1: or doesn't care about. We created a more stable, more 1192 01:08:58,080 --> 01:09:00,600 Speaker 1: peaceful Middle Eastern and you can see the impacts on 1193 01:09:00,640 --> 01:09:03,880 Speaker 1: Americans all across our country, whether that's through higher gas 1194 01:09:03,920 --> 01:09:07,479 Speaker 1: prices that come with the risk that Iran will be ascended, 1195 01:09:07,479 --> 01:09:10,240 Speaker 1: to all of those things reduce our security here at home. 1196 01:09:10,600 --> 01:09:13,120 Speaker 1: We can do better than that the Trump administration did. 1197 01:09:13,160 --> 01:09:16,080 Speaker 1: I hope this administration won't go back, won't give away 1198 01:09:16,080 --> 01:09:18,559 Speaker 1: the store for the sake of some deal that is 1199 01:09:18,600 --> 01:09:20,960 Speaker 1: not going to prevent Iran from having a nuclear weapon. 1200 01:09:21,000 --> 01:09:24,360 Speaker 1: There the world's largest state sponsor of terror, the most 1201 01:09:24,439 --> 01:09:27,759 Speaker 1: anti Semitic nation on the planet, wanting to wipe Israel 1202 01:09:27,800 --> 01:09:30,360 Speaker 1: from the face of the earth. This is unacceptable and 1203 01:09:30,479 --> 01:09:32,960 Speaker 1: the United States should maintain the policies that we did, 1204 01:09:33,280 --> 01:09:35,439 Speaker 1: which we're pushing back against them in a serious way. 1205 01:09:35,840 --> 01:09:38,400 Speaker 1: Why do you think we're trying to do this, you know, 1206 01:09:38,520 --> 01:09:41,719 Speaker 1: Stuart's a great question. You know, eight years of President 1207 01:09:41,760 --> 01:09:45,839 Speaker 1: Obama's policy, the deal, the same team as around Wendy Sherman, 1208 01:09:46,320 --> 01:09:48,880 Speaker 1: some all the same cast of characters. I think they're 1209 01:09:48,920 --> 01:09:52,280 Speaker 1: just wedded to this deal, which is clearly demonstrated. It failed. 1210 01:09:52,280 --> 01:09:54,479 Speaker 1: The deal is dead. The Europeans that come to know 1211 01:09:54,560 --> 01:09:57,200 Speaker 1: this as well, I can't explain why they would want 1212 01:09:57,200 --> 01:09:59,000 Speaker 1: to go back to it. It's truly a head scratcher. 1213 01:09:59,360 --> 01:10:01,840 Speaker 1: It doesn't the central thing it set out to do, 1214 01:10:02,160 --> 01:10:04,920 Speaker 1: which is to close out all pathways for Ron to 1215 01:10:04,920 --> 01:10:07,920 Speaker 1: have a nuclear weapon, but instead gives them money, gives 1216 01:10:07,920 --> 01:10:11,759 Speaker 1: them resources, and a clear, patient pathway to a nuclear program. 1217 01:10:12,520 --> 01:10:15,559 Speaker 1: It's still early, because I'm fair minded and honest with you, 1218 01:10:15,560 --> 01:10:20,640 Speaker 1: it's still early to assess the Biden administration foreign policy. 1219 01:10:21,000 --> 01:10:23,800 Speaker 1: And I don't just mean to assess it based on 1220 01:10:23,840 --> 01:10:26,400 Speaker 1: what it's done, because obviously that's very early. But I mean, 1221 01:10:26,400 --> 01:10:28,479 Speaker 1: we're not even really all that clear on what it is. 1222 01:10:28,520 --> 01:10:32,160 Speaker 1: You'll notice they don't talk about it very much. And 1223 01:10:32,520 --> 01:10:37,360 Speaker 1: here's why. The one area that I think after eight 1224 01:10:37,439 --> 01:10:40,640 Speaker 1: years of Obama, well, there were several areas where you 1225 01:10:40,680 --> 01:10:43,559 Speaker 1: just say it was indefensibly bad, but one area where 1226 01:10:43,360 --> 01:10:47,080 Speaker 1: they really were always on defense was on foreign policy. 1227 01:10:47,200 --> 01:10:50,160 Speaker 1: Because anybody who observed what happened under the Obama years, 1228 01:10:50,240 --> 01:10:53,280 Speaker 1: under eight years of the Obama administration could easily point 1229 01:10:53,320 --> 01:10:57,400 Speaker 1: to the fact that every so called hot zone for conflict, 1230 01:10:57,479 --> 01:11:00,559 Speaker 1: right at every place where there was active fighting military 1231 01:11:00,560 --> 01:11:05,240 Speaker 1: engagement got worse under Obama's time in office. The rise 1232 01:11:05,360 --> 01:11:10,439 Speaker 1: of the Islamic State, the terrorist attacks in Europe and 1233 01:11:10,520 --> 01:11:14,280 Speaker 1: here at home in America that we're occurring, the deterioration 1234 01:11:14,400 --> 01:11:18,040 Speaker 1: in Libya, in Syria, in Pakistan and Afghanistan, in Iraq, 1235 01:11:19,400 --> 01:11:23,679 Speaker 1: and the only thing that they pointed to as their 1236 01:11:23,680 --> 01:11:26,400 Speaker 1: big win was a deal that the Iranians, I mean, 1237 01:11:26,400 --> 01:11:29,280 Speaker 1: the Iranians couldn't believe their luck that they had such 1238 01:11:29,680 --> 01:11:33,400 Speaker 1: inapt and delusional negotiators like John Kerry on the other 1239 01:11:33,439 --> 01:11:35,360 Speaker 1: side of the table, where it's just, hey, can you 1240 01:11:35,360 --> 01:11:37,840 Speaker 1: guys stop doing all that nuclear stuff you do. You 1241 01:11:37,840 --> 01:11:39,760 Speaker 1: don't have to destroy anything. You don't have to like 1242 01:11:39,760 --> 01:11:43,040 Speaker 1: actually dismantle, loot, get rid of it. But there are 1243 01:11:43,040 --> 01:11:45,639 Speaker 1: gonna be some places that we can inspect. Okay, fine, 1244 01:11:45,920 --> 01:11:48,080 Speaker 1: but we're gonna let you get a whole lot more 1245 01:11:48,080 --> 01:11:52,840 Speaker 1: access the international international financial system and you know, intertwine 1246 01:11:52,880 --> 01:11:55,840 Speaker 1: yourselves in the international global banking network, get a whole 1247 01:11:55,920 --> 01:12:01,840 Speaker 1: lot richer, keep testing traditional ballistic missiles, and suffer no 1248 01:12:01,960 --> 01:12:04,439 Speaker 1: real consequences or pain for what you've done up to 1249 01:12:04,479 --> 01:12:08,879 Speaker 1: this point. And we'll even deliver pallets of literal pallets 1250 01:12:08,920 --> 01:12:13,040 Speaker 1: of cash to you as part of this. And the 1251 01:12:13,080 --> 01:12:15,479 Speaker 1: Obama administration to Turroun said, see look how great we are, 1252 01:12:15,760 --> 01:12:17,600 Speaker 1: and everybody that understands what the heck is going on 1253 01:12:17,640 --> 01:12:21,040 Speaker 1: the Middle East said, this wasn't not a good idea. 1254 01:12:21,200 --> 01:12:24,719 Speaker 1: They're going to go back to that now, the failed 1255 01:12:24,840 --> 01:12:28,320 Speaker 1: foreign policy of eight years of the Obama administration, you're 1256 01:12:28,360 --> 01:12:31,240 Speaker 1: about to see a replay of it now under the 1257 01:12:31,240 --> 01:12:35,800 Speaker 1: Biden administration. They've learned no lessons. In fact, what everybody 1258 01:12:35,880 --> 01:12:40,360 Speaker 1: who is reasonable and who is honestly has good judgment, 1259 01:12:40,960 --> 01:12:44,960 Speaker 1: sees as just a litany of failure. The Obama team 1260 01:12:45,000 --> 01:12:46,799 Speaker 1: thinks they did a really good job, and the Obama 1261 01:12:46,800 --> 01:12:49,160 Speaker 1: team is now the Biden team, and they're gonna do 1262 01:12:49,200 --> 01:12:52,120 Speaker 1: the same stuff, including with they're on. So keep your 1263 01:12:52,160 --> 01:12:54,639 Speaker 1: eye on it, folks. Will the man once known as 1264 01:12:54,640 --> 01:12:57,760 Speaker 1: the Love Gov managed to keep his position as the 1265 01:12:57,760 --> 01:13:01,320 Speaker 1: governor of New York State. Governor Momo, we have our 1266 01:13:01,320 --> 01:13:04,080 Speaker 1: friend Michael Goodwin from the New York Post joining now 1267 01:13:04,200 --> 01:13:07,639 Speaker 1: to discuss. Michael, great to have you my pleasure, Buck, 1268 01:13:07,680 --> 01:13:11,800 Speaker 1: thank you. Let's just start with this. Do do you 1269 01:13:11,920 --> 01:13:16,280 Speaker 1: think now that we're at a point where the pressure 1270 01:13:16,920 --> 01:13:20,720 Speaker 1: is it more likely that he actually goes than stays 1271 01:13:20,760 --> 01:13:25,040 Speaker 1: in your estimation in his role, more likely he goes. 1272 01:13:25,360 --> 01:13:28,120 Speaker 1: And I say that not because I think he's going 1273 01:13:28,160 --> 01:13:32,120 Speaker 1: to resign soon. I think he's going to fight it 1274 01:13:32,200 --> 01:13:35,799 Speaker 1: out as far as he can and on any argument 1275 01:13:35,880 --> 01:13:39,800 Speaker 1: that he can make. But I do think that the 1276 01:13:40,840 --> 01:13:44,320 Speaker 1: calls for him to resign are having some impact on 1277 01:13:44,439 --> 01:13:50,519 Speaker 1: public opinion, and I think that the investigation into the 1278 01:13:50,880 --> 01:13:55,479 Speaker 1: sexual harassment allegations seems to be moving pretty quickly. We 1279 01:13:55,800 --> 01:13:59,960 Speaker 1: had a report today that the one of the first 1280 01:14:00,160 --> 01:14:05,640 Speaker 1: to women to come forward, Charlotte Bennett, met with investigators, 1281 01:14:06,040 --> 01:14:10,400 Speaker 1: the outside investigators overseen by the Attorney General, and spend 1282 01:14:10,400 --> 01:14:13,280 Speaker 1: four hours with them. Gave them one hundred and twenty 1283 01:14:13,400 --> 01:14:19,320 Speaker 1: documents that support her claims, according to her lawyer, So 1284 01:14:19,680 --> 01:14:23,519 Speaker 1: that surprised me that they're moving that quickly. And I'm 1285 01:14:23,680 --> 01:14:28,920 Speaker 1: very confident that these women are telling something that about 1286 01:14:29,000 --> 01:14:31,760 Speaker 1: something that actually happened. And I say that and that 1287 01:14:31,880 --> 01:14:34,679 Speaker 1: was the reason I wrote the Sunday piece about the heroes. 1288 01:14:36,320 --> 01:14:41,200 Speaker 1: The seven women who have come forth are all are different, 1289 01:14:41,600 --> 01:14:44,880 Speaker 1: the stories are different, but the pattern is the same, 1290 01:14:45,600 --> 01:14:49,040 Speaker 1: and I think that it's not the sort of thing 1291 01:14:49,280 --> 01:14:54,280 Speaker 1: you come forward and say unless it's true. Andrew Cuomo's 1292 01:14:54,320 --> 01:15:00,320 Speaker 1: reputation for ruthlessness and for revenge would deter many people 1293 01:15:00,320 --> 01:15:03,320 Speaker 1: from coming forward, even with the truth, and it did 1294 01:15:03,439 --> 01:15:07,000 Speaker 1: deter these women for some time. It was only when 1295 01:15:07,040 --> 01:15:10,799 Speaker 1: the first one, Lindsey Boylan, came public that the second 1296 01:15:10,840 --> 01:15:14,519 Speaker 1: one then quickly came public, and then we've had five 1297 01:15:14,640 --> 01:15:18,760 Speaker 1: more since then. So it's fair to assume that none 1298 01:15:18,760 --> 01:15:21,040 Speaker 1: of them would have come public if the first one 1299 01:15:21,120 --> 01:15:24,519 Speaker 1: hadn't started, and then the second one. Those were the 1300 01:15:24,520 --> 01:15:29,280 Speaker 1: two most dramatic, and because no one had heard this 1301 01:15:29,320 --> 01:15:34,639 Speaker 1: story before. So I've been around long enough to trust 1302 01:15:34,720 --> 01:15:38,320 Speaker 1: my gut on these things. Reading what these women have said, 1303 01:15:38,439 --> 01:15:41,800 Speaker 1: listening to what they say in their interviews, knowing the 1304 01:15:41,920 --> 01:15:46,839 Speaker 1: governor as I know him, the way he operates his government, 1305 01:15:47,640 --> 01:15:53,000 Speaker 1: I strongly believe these women are telling the truth. And 1306 01:15:53,120 --> 01:15:56,639 Speaker 1: I don't believe that he is innocent. I believe that 1307 01:15:56,680 --> 01:16:01,760 Speaker 1: the investigation will show that more and more members of 1308 01:16:01,840 --> 01:16:05,760 Speaker 1: his staff were involved in one way or another. I mean, 1309 01:16:05,840 --> 01:16:09,760 Speaker 1: just for example lately, which seems fairly innocuous, but when 1310 01:16:09,760 --> 01:16:12,400 Speaker 1: you think about it, it makes your skin crawl. He 1311 01:16:12,479 --> 01:16:16,639 Speaker 1: goes to these events, so whether it's a fundraiser, a party, 1312 01:16:16,840 --> 01:16:19,280 Speaker 1: or whatever it is. We saw the picture of him 1313 01:16:19,720 --> 01:16:22,760 Speaker 1: holding the cheeks of a woman at a wedding where 1314 01:16:22,800 --> 01:16:27,240 Speaker 1: he had officiated, saying can I kiss you. You have 1315 01:16:27,400 --> 01:16:31,200 Speaker 1: other women saying, not among the seven, but who have 1316 01:16:31,280 --> 01:16:36,759 Speaker 1: spoken anonymously to reporters, saying that they met the governor 1317 01:16:36,800 --> 01:16:40,320 Speaker 1: at a fundraiser or a party, and he would instantly 1318 01:16:40,479 --> 01:16:44,040 Speaker 1: just gravitate toward them, and the next day they would 1319 01:16:44,080 --> 01:16:47,400 Speaker 1: get a call from his office offering them a job. 1320 01:16:48,400 --> 01:16:52,160 Speaker 1: They didn't apply for jobs they weren't interested in the jobs, 1321 01:16:52,240 --> 01:16:55,439 Speaker 1: but it was a job offer from Andrew Cuomo, and 1322 01:16:55,680 --> 01:16:58,000 Speaker 1: they were paid well. They were told how to dress 1323 01:16:58,400 --> 01:17:01,360 Speaker 1: the way he'd like them to dress according to these women. 1324 01:17:01,680 --> 01:17:04,080 Speaker 1: So you have all this kind of weird stuff. It's 1325 01:17:04,080 --> 01:17:08,360 Speaker 1: almost like it's a he's building a harem of women 1326 01:17:08,400 --> 01:17:12,000 Speaker 1: where he's the only male, and then he hits on 1327 01:17:12,479 --> 01:17:16,120 Speaker 1: numbers of them. So it's just a very strange situation 1328 01:17:16,200 --> 01:17:19,360 Speaker 1: that I think has has never been heard of in 1329 01:17:19,479 --> 01:17:22,280 Speaker 1: all the years and Andrew Cuomo has been governor. But 1330 01:17:22,520 --> 01:17:25,080 Speaker 1: I think it's real, and I think the investigators are 1331 01:17:25,080 --> 01:17:27,160 Speaker 1: going to find a lot of stuff if they if 1332 01:17:27,200 --> 01:17:31,240 Speaker 1: they are as diligent, as diligent as they seem to be. Well, 1333 01:17:31,439 --> 01:17:33,519 Speaker 1: one thing we're speaking to Michael Goodwin. He has a 1334 01:17:33,560 --> 01:17:35,839 Speaker 1: piece in the New York Post, the Courage of Andrew 1335 01:17:35,920 --> 01:17:39,920 Speaker 1: Cuomo's Accusers, which I recommend that you all check out. 1336 01:17:40,320 --> 01:17:41,680 Speaker 1: One thing you bring up in the piece, and I 1337 01:17:41,720 --> 01:17:44,120 Speaker 1: didn't know this is that Lindsey Boylan, who is the 1338 01:17:44,160 --> 01:17:47,559 Speaker 1: first one to come forward, is actually married with a 1339 01:17:47,640 --> 01:17:52,280 Speaker 1: small child when the Governor of New York is kind 1340 01:17:52,280 --> 01:17:55,680 Speaker 1: of known among staffers to be pursuing her. I mean 1341 01:17:55,720 --> 01:18:00,720 Speaker 1: just at a at a basic moral ethical level, that's 1342 01:18:00,800 --> 01:18:03,960 Speaker 1: that's really gross. I mean, that's grotesque behavior. I mean, 1343 01:18:03,960 --> 01:18:06,559 Speaker 1: what is he trying to be a home wrecker. He's 1344 01:18:06,560 --> 01:18:09,679 Speaker 1: trying to ruin someone's life. I mean it's I don't 1345 01:18:09,720 --> 01:18:12,679 Speaker 1: view that. That's not you know, office flirtation or anything else. 1346 01:18:12,760 --> 01:18:15,880 Speaker 1: That's a power dynamic. But also that's a guy who's 1347 01:18:15,880 --> 01:18:17,439 Speaker 1: looking to be a home wrecker. I didn't know that 1348 01:18:17,520 --> 01:18:20,840 Speaker 1: until I read your peace. Yeah, I mean, and she 1349 01:18:21,000 --> 01:18:25,080 Speaker 1: is in some ways a very interesting one, Lindsay Boylan, 1350 01:18:25,200 --> 01:18:30,920 Speaker 1: because she's got clear documentation that she released. For example, 1351 01:18:32,720 --> 01:18:38,160 Speaker 1: one of the governor's assistants sends Boiling an email. Boilan 1352 01:18:38,280 --> 01:18:42,960 Speaker 1: releases the email, in which she says the governor says, 1353 01:18:43,040 --> 01:18:45,519 Speaker 1: you look like an old girlfriend of his. You should 1354 01:18:45,560 --> 01:18:49,320 Speaker 1: look her up. You could be her prettier sister. Now, 1355 01:18:49,360 --> 01:18:52,960 Speaker 1: this woman's name was Lisa shield She was the governor's 1356 01:18:53,000 --> 01:18:58,200 Speaker 1: former girlfriend. Apparently, in meetings, the governor begins calling Lindsey 1357 01:18:58,280 --> 01:19:05,439 Speaker 1: Boylan Lisa. Now. The staff saw the email and they 1358 01:19:05,479 --> 01:19:09,360 Speaker 1: know who Lisa Shields is, and the governor starts in 1359 01:19:09,439 --> 01:19:13,040 Speaker 1: front of them. The governor starts calling Lindsay Boylan Lisa. 1360 01:19:13,200 --> 01:19:17,680 Speaker 1: Now If that isn't the meaning, what is he There 1361 01:19:17,720 --> 01:19:22,519 Speaker 1: are other emails that Boiland has released that show the 1362 01:19:22,600 --> 01:19:28,320 Speaker 1: governor's assistant writing to Boylan's boss in the state department 1363 01:19:28,360 --> 01:19:32,360 Speaker 1: that she worked for, saying, I just got a question. 1364 01:19:32,600 --> 01:19:35,600 Speaker 1: Is your chief of staff going to be at the 1365 01:19:35,680 --> 01:19:41,519 Speaker 1: meeting tomorrow? And Boylan's direct supervisor writes back, Ha, No, 1366 01:19:41,720 --> 01:19:45,160 Speaker 1: she won't be there, but she'll be worried about how 1367 01:19:45,200 --> 01:19:49,680 Speaker 1: the governor's day is going. So there is this flirtation 1368 01:19:50,120 --> 01:19:53,519 Speaker 1: where Boylan doesn't want any part of it, but the 1369 01:19:53,640 --> 01:19:56,880 Speaker 1: governor tells others he has a crush on her, and 1370 01:19:56,960 --> 01:20:00,400 Speaker 1: so they're all playing this game. The Secretary Mary is 1371 01:20:00,400 --> 01:20:03,200 Speaker 1: sending the note will Boilan be at the meeting? Boiland's 1372 01:20:03,280 --> 01:20:06,639 Speaker 1: boss is playing along saying, ha, no, but she'll be 1373 01:20:06,680 --> 01:20:10,000 Speaker 1: worried about the governor. I mean no, she wasn't worried 1374 01:20:10,000 --> 01:20:13,439 Speaker 1: about the governor. She wasn't interested in the governor. But 1375 01:20:13,600 --> 01:20:17,519 Speaker 1: that's the way this office created that dynamic. And so 1376 01:20:17,560 --> 01:20:19,200 Speaker 1: I think a lot of these people are going to 1377 01:20:19,280 --> 01:20:22,720 Speaker 1: be put under oath by these investigators and they're going 1378 01:20:22,800 --> 01:20:25,479 Speaker 1: to have to talk about this. And so I think 1379 01:20:25,520 --> 01:20:30,799 Speaker 1: Andrew Cuomo his refusal to resign made by him some time. 1380 01:20:31,240 --> 01:20:35,880 Speaker 1: But I feel really confident that these investigators are going 1381 01:20:35,920 --> 01:20:39,840 Speaker 1: to find a motherload of information about the way he 1382 01:20:39,920 --> 01:20:43,519 Speaker 1: operated that office that is going to be repulsive to 1383 01:20:43,560 --> 01:20:47,200 Speaker 1: the vast majority of New Yorkers. Michael, I'm curious as 1384 01:20:47,200 --> 01:20:52,120 Speaker 1: to your take on why the corporate media in general 1385 01:20:52,960 --> 01:20:55,760 Speaker 1: obviously not all And I've been very quick to point 1386 01:20:55,800 --> 01:20:58,000 Speaker 1: out that the New York Post broke the nursing home 1387 01:20:58,040 --> 01:21:02,759 Speaker 1: scandal wide open last May, but that the corporate media 1388 01:21:02,800 --> 01:21:06,160 Speaker 1: in general has been so much more focused on the 1389 01:21:06,200 --> 01:21:11,040 Speaker 1: sexual harassment than on the nursing home disaster. And the 1390 01:21:11,080 --> 01:21:14,639 Speaker 1: Democrat Party too, right, all the Democrats, Schumer who said 1391 01:21:14,680 --> 01:21:17,800 Speaker 1: that he should resign, he should resign, Jilla Brand, So, 1392 01:21:17,880 --> 01:21:20,880 Speaker 1: the two senators from New York I said he should resign, AOC, 1393 01:21:21,439 --> 01:21:25,519 Speaker 1: and most of the New York State Congressional Delegation a DC. 1394 01:21:26,000 --> 01:21:28,280 Speaker 1: You know, they've all said that a majority of them 1395 01:21:28,360 --> 01:21:31,559 Speaker 1: have said that that he should resign. It's all about 1396 01:21:31,560 --> 01:21:34,000 Speaker 1: the sexual harassment. I don't hear anyone saying you should 1397 01:21:34,000 --> 01:21:37,160 Speaker 1: resign because he sent seniors to their deaths with a 1398 01:21:37,920 --> 01:21:42,719 Speaker 1: just catastrophic executive order. What do you make of that? Well, 1399 01:21:42,800 --> 01:21:45,880 Speaker 1: some of them have, but you're right, the majority have not. 1400 01:21:46,520 --> 01:21:51,280 Speaker 1: The majority have focused on the sexual harassment. And I 1401 01:21:51,280 --> 01:21:54,639 Speaker 1: should point out the column of mine that you're cited, Buck, 1402 01:21:55,479 --> 01:21:58,519 Speaker 1: I salute. And there are three women who kept the 1403 01:21:58,640 --> 01:22:02,760 Speaker 1: nursing home disaster live and front and center, even when 1404 01:22:02,760 --> 01:22:06,439 Speaker 1: The Post was the only media outlet interested in it. 1405 01:22:06,840 --> 01:22:11,000 Speaker 1: And those three women are all directly involved in it. 1406 01:22:12,320 --> 01:22:16,840 Speaker 1: One of them wrote to me in April telling me 1407 01:22:16,880 --> 01:22:19,280 Speaker 1: about the order when her mother had died in a 1408 01:22:19,400 --> 01:22:22,519 Speaker 1: nursing home. No one had written about the order in 1409 01:22:22,640 --> 01:22:26,080 Speaker 1: terms of its impact. I had no idea about it myself, 1410 01:22:27,360 --> 01:22:30,080 Speaker 1: but that's what got the Post going on. We wrote 1411 01:22:30,080 --> 01:22:33,200 Speaker 1: about it that the death was the death that was 1412 01:22:33,320 --> 01:22:37,720 Speaker 1: causing You have Janistine of course, the Fox meteorologists who 1413 01:22:37,800 --> 01:22:41,240 Speaker 1: lost birth of both of her in laws in nursing 1414 01:22:41,280 --> 01:22:46,640 Speaker 1: homes to COVID. She has been enormously forceful personality for 1415 01:22:46,840 --> 01:22:50,920 Speaker 1: the grieving families, none of which the governor has ever met. 1416 01:22:51,400 --> 01:22:54,160 Speaker 1: I mean, that's another part of this which also does 1417 01:22:54,200 --> 01:22:58,840 Speaker 1: not get enough attention. His heartlessness with these families. Just think, 1418 01:22:58,880 --> 01:23:02,160 Speaker 1: if you know you had these families, they could not 1419 01:23:02,400 --> 01:23:07,760 Speaker 1: visit their loved ones, lest anyone bring COVID into the 1420 01:23:07,840 --> 01:23:12,160 Speaker 1: nursing homes, and the governor intentionally sends in, as it 1421 01:23:12,200 --> 01:23:17,760 Speaker 1: turns out, nine thousand discharge patients who are still positive 1422 01:23:17,760 --> 01:23:21,280 Speaker 1: with COVID into nursing homes, but the families couldn't go 1423 01:23:21,320 --> 01:23:24,920 Speaker 1: in because it was too dangerous. And then, of course 1424 01:23:24,960 --> 01:23:28,760 Speaker 1: the governor, because he is so thin skinned, tried to 1425 01:23:28,800 --> 01:23:32,559 Speaker 1: cover all this up. And it was only when Letitia James, 1426 01:23:32,640 --> 01:23:35,160 Speaker 1: the third of the three women that I cite in 1427 01:23:35,240 --> 01:23:39,599 Speaker 1: this category, when the state Attorney General did a report 1428 01:23:39,680 --> 01:23:43,000 Speaker 1: on this and said the governor was probably under counting 1429 01:23:43,080 --> 01:23:47,200 Speaker 1: nursing home deaths by fifty percent, that Cuomo finally put 1430 01:23:47,240 --> 01:23:49,960 Speaker 1: out most of the true numbers. He put out even 1431 01:23:50,000 --> 01:23:52,879 Speaker 1: more when a judge on a freedom of information request 1432 01:23:54,040 --> 01:23:57,360 Speaker 1: declared that he must. So all of this has come out, 1433 01:23:58,080 --> 01:24:01,240 Speaker 1: and you're right, most of the media was celebrating him, 1434 01:24:01,720 --> 01:24:04,639 Speaker 1: that he did a great job. He was a COVID leader. 1435 01:24:05,000 --> 01:24:08,360 Speaker 1: He was the antidote to Donald Trump, and I think 1436 01:24:08,479 --> 01:24:11,920 Speaker 1: for the media that was the main issue. He was 1437 01:24:12,000 --> 01:24:16,599 Speaker 1: not Trump. Trump was on every day with his COVID 1438 01:24:16,640 --> 01:24:20,439 Speaker 1: briefings early on especially, and so was Cuomo, and so 1439 01:24:20,479 --> 01:24:23,599 Speaker 1: it became a kind of dueling of the briefings and 1440 01:24:23,680 --> 01:24:27,800 Speaker 1: the Democrats and the media, they preferred Cuomo, even though, 1441 01:24:27,880 --> 01:24:30,840 Speaker 1: as we learned later, it was all wrong. And isn't 1442 01:24:30,880 --> 01:24:35,599 Speaker 1: that like everything else with the media, Buck, Russia, Russia, Russia, Ukraine, 1443 01:24:35,720 --> 01:24:38,320 Speaker 1: all of it. He should be in peace, he should 1444 01:24:38,360 --> 01:24:40,280 Speaker 1: be convicted, he should be thrown out, he should be 1445 01:24:40,320 --> 01:24:43,559 Speaker 1: locked up. Oops, we got it wrong. But they never admitted, 1446 01:24:43,640 --> 01:24:46,679 Speaker 1: They never say they're sorry. And the same with Cuomo. 1447 01:24:46,960 --> 01:24:50,240 Speaker 1: You're not hearing any of those media who lavish praise 1448 01:24:50,320 --> 01:24:53,400 Speaker 1: on him. Same boy, were we wrong? Not only did 1449 01:24:53,439 --> 01:24:56,160 Speaker 1: all these nursing home people die, and only did he 1450 01:24:56,280 --> 01:24:59,719 Speaker 1: hide the information? Even his book is full of lies 1451 01:25:00,280 --> 01:25:02,920 Speaker 1: because because it does the same thing that he did, 1452 01:25:03,200 --> 01:25:06,760 Speaker 1: he doesn't tell you the truth. So you would hope 1453 01:25:06,760 --> 01:25:10,240 Speaker 1: that reality would catch up if the media, with its prejudice, 1454 01:25:10,439 --> 01:25:13,360 Speaker 1: always seems to be behind. Michael Good one of the 1455 01:25:13,360 --> 01:25:16,120 Speaker 1: New York posts the Courage of Andrew Cuomo's accusers. Check 1456 01:25:16,160 --> 01:25:18,000 Speaker 1: out his piece at New York Post dot com. Michael, 1457 01:25:18,000 --> 01:25:19,559 Speaker 1: real quick before let you go, We've got got about 1458 01:25:19,560 --> 01:25:21,559 Speaker 1: a minute, but I did want to ask you. I'm 1459 01:25:21,600 --> 01:25:24,479 Speaker 1: starting to see something of early news stories breaking on 1460 01:25:24,520 --> 01:25:29,160 Speaker 1: this about New Jersey, which has the highest per capita 1461 01:25:29,240 --> 01:25:32,679 Speaker 1: death toll, higher than New York's, and yet Governor Murphy 1462 01:25:32,920 --> 01:25:37,160 Speaker 1: somehow escapes it seems to me even scrutiny, never mind 1463 01:25:37,240 --> 01:25:41,240 Speaker 1: scorn for his actions, including a very similar policy on 1464 01:25:41,320 --> 01:25:43,280 Speaker 1: nursing homes in his state. What do you make of that? 1465 01:25:44,760 --> 01:25:48,760 Speaker 1: You're right, he sent almost exactly the same nursing home 1466 01:25:48,800 --> 01:25:51,679 Speaker 1: directive as Cuomo did. He sent it six days after 1467 01:25:52,680 --> 01:25:56,439 Speaker 1: New York's came March twenty fifth. New Jerseys came March thirty. First. 1468 01:25:57,720 --> 01:26:01,720 Speaker 1: I've spoken to nursing home associate and other directors in 1469 01:26:01,800 --> 01:26:05,200 Speaker 1: some families in New Jersey. It's a mixed thing there, 1470 01:26:05,280 --> 01:26:10,760 Speaker 1: because the one distinction was that Murphy. Murphy's Department of 1471 01:26:10,800 --> 01:26:14,840 Speaker 1: Health apparently worked with the nursing home Association to let 1472 01:26:14,880 --> 01:26:20,639 Speaker 1: them exempt some nursing homes and so not everybody, not 1473 01:26:20,680 --> 01:26:24,000 Speaker 1: all nursing homes were forced to take these COVID patients, 1474 01:26:24,080 --> 01:26:27,680 Speaker 1: many of them were, and they got they got the 1475 01:26:27,760 --> 01:26:30,880 Speaker 1: similar result of New York. It's spread like wildfire. I 1476 01:26:30,920 --> 01:26:34,439 Speaker 1: think particularly the Veterans Home was maybe one of the 1477 01:26:34,479 --> 01:26:38,799 Speaker 1: worst hit in the whole country. Actually, yeah, yeah, yeah, 1478 01:26:38,840 --> 01:26:42,679 Speaker 1: And I'm sure they took a lot of cod from hospital, 1479 01:26:43,040 --> 01:26:45,960 Speaker 1: but the some of the others were able to get 1480 01:26:45,960 --> 01:26:49,120 Speaker 1: out of it, and that's because the Nursing Home Association 1481 01:26:49,240 --> 01:26:52,880 Speaker 1: in New Jersey worked quickly to get the governor's ear 1482 01:26:53,040 --> 01:26:55,760 Speaker 1: or at least the state health director. But you're right 1483 01:26:55,880 --> 01:26:59,200 Speaker 1: in the large sense that they followed the same policy 1484 01:26:59,600 --> 01:27:02,120 Speaker 1: with the same deadly results. And the fact that New 1485 01:27:02,200 --> 01:27:07,439 Speaker 1: Jersey has the highest per capita death total tells you 1486 01:27:07,560 --> 01:27:10,519 Speaker 1: something that many of those deaths came in nursing homes. 1487 01:27:10,600 --> 01:27:14,599 Speaker 1: Other states did something similar to Pennsylvania did it, And 1488 01:27:14,640 --> 01:27:18,160 Speaker 1: we see that the Pennsylvania Health secretary is now going 1489 01:27:18,240 --> 01:27:22,720 Speaker 1: to be a top official on the Biden administration, and 1490 01:27:22,840 --> 01:27:25,840 Speaker 1: she apparently took her mother out of a nursing home 1491 01:27:26,080 --> 01:27:29,760 Speaker 1: before the policy took effect. So there are a lot 1492 01:27:29,840 --> 01:27:35,439 Speaker 1: of questions that are unanswered about unnecessary deaths in the COVID. 1493 01:27:35,479 --> 01:27:39,000 Speaker 1: I think that's the way to properly classify this good 1494 01:27:39,640 --> 01:27:43,200 Speaker 1: New York post. Please keep checking all this stuff out. 1495 01:27:43,200 --> 01:27:44,599 Speaker 1: We gotta we got to go to a break now. 1496 01:27:44,640 --> 01:27:46,679 Speaker 1: We appreciate you joining us. We'll talk to you again, Sue, 1497 01:27:47,280 --> 01:27:49,960 Speaker 1: my pleasure back. Thank you. It's the same message that 1498 01:27:50,120 --> 01:27:53,679 Speaker 1: I say to the owners of Walmart. The Walton family 1499 01:27:53,680 --> 01:27:57,040 Speaker 1: the wealthiest family at America. We're living in an economy 1500 01:27:57,080 --> 01:27:59,839 Speaker 1: with a very, very rich and doing phenomenally well. Working 1501 01:28:00,040 --> 01:28:03,360 Speaker 1: families are struggling. So I say to Jeff Bezos, Jeff, 1502 01:28:03,360 --> 01:28:08,360 Speaker 1: you're worth one hundred and eighty two billion dollars. That's 1503 01:28:08,400 --> 01:28:11,759 Speaker 1: a lot of money. What is your problem with allowing 1504 01:28:11,800 --> 01:28:16,439 Speaker 1: workers in Alabama to organize for better wages and for 1505 01:28:16,600 --> 01:28:20,679 Speaker 1: better working conditions. You can afford to pay them more. 1506 01:28:21,000 --> 01:28:23,960 Speaker 1: And to the Walton family that owns Walmart, you're the 1507 01:28:24,080 --> 01:28:27,639 Speaker 1: richest family in America. Why are you having a starting 1508 01:28:27,680 --> 01:28:31,000 Speaker 1: wage of eleven dollars an hour so that your workers 1509 01:28:31,040 --> 01:28:35,040 Speaker 1: have to go on public assistance supplemented by the taxpayers 1510 01:28:35,040 --> 01:28:37,400 Speaker 1: of this country. We are going to deal with this 1511 01:28:37,479 --> 01:28:41,720 Speaker 1: issue of income and wealth inequality. It is a very 1512 01:28:41,800 --> 01:28:44,920 Speaker 1: dangerous issue. It is worse now than in any time 1513 01:28:45,240 --> 01:28:49,000 Speaker 1: it has been in the last hundred years. We cannot 1514 01:28:49,000 --> 01:28:52,400 Speaker 1: have a moral society or a strong economy when so 1515 01:28:52,560 --> 01:28:55,799 Speaker 1: few have so much and so many have so little. 1516 01:28:56,000 --> 01:28:58,880 Speaker 1: That's the struggle we're engaging in right now. It is 1517 01:28:58,880 --> 01:29:02,080 Speaker 1: a dangerous issue, dangers for a society, but not really 1518 01:29:02,280 --> 01:29:05,760 Speaker 1: in the way that Bernie Sanders means here. Envy is 1519 01:29:05,880 --> 01:29:10,480 Speaker 1: very powerful in politics, and so are things like misdirection 1520 01:29:11,200 --> 01:29:17,320 Speaker 1: and a disingenuous focus. These are these are very powerful things. 1521 01:29:18,439 --> 01:29:20,559 Speaker 1: So when when he talks about Jeff Bezos here, oh 1522 01:29:20,600 --> 01:29:23,759 Speaker 1: my gosh, one hundred and sixty billion dollars whatever it is, Yeah, 1523 01:29:23,880 --> 01:29:26,840 Speaker 1: Jeff Bezos can afford to pay more, right, of course 1524 01:29:26,840 --> 01:29:30,519 Speaker 1: he can. It doesn't really matter to Jeff Bezos. But 1525 01:29:30,560 --> 01:29:33,120 Speaker 1: what you're seeing in the tax plan, which I wanted 1526 01:29:33,120 --> 01:29:34,880 Speaker 1: to talk about more today, I mean, they're gonna tax 1527 01:29:35,800 --> 01:29:39,920 Speaker 1: They're gonna tax people more than we've we've seen in years, 1528 01:29:39,960 --> 01:29:43,439 Speaker 1: perhaps even in decades in this country. Is that they're 1529 01:29:43,439 --> 01:29:47,600 Speaker 1: going to start to really raise the rates on corporations. 1530 01:29:48,040 --> 01:29:49,720 Speaker 1: That's the big place. I think that they're going to 1531 01:29:49,800 --> 01:29:53,120 Speaker 1: raise them, maybe six seven percent something like that, based 1532 01:29:53,160 --> 01:29:57,400 Speaker 1: on the early early numbers they're talking about. And so 1533 01:29:57,439 --> 01:30:01,120 Speaker 1: they're looking at a big corporate tax hike, which is 1534 01:30:01,120 --> 01:30:02,960 Speaker 1: just going to mean the government is taking more money 1535 01:30:03,000 --> 01:30:06,080 Speaker 1: out of the private sector, and it means that hiring 1536 01:30:06,320 --> 01:30:09,120 Speaker 1: and investment and corporate growth is going to slow down. 1537 01:30:09,160 --> 01:30:12,000 Speaker 1: Because they'll talk about Amazon, you'll say, well, Amazon is 1538 01:30:12,000 --> 01:30:14,080 Speaker 1: so powerful, so big it can Yeah, but there are 1539 01:30:14,080 --> 01:30:16,439 Speaker 1: a lot of companies that aren't Amazon the same way. 1540 01:30:16,479 --> 01:30:19,559 Speaker 1: They'll talk about taxing Jeff Bezos more. But there are 1541 01:30:19,600 --> 01:30:22,240 Speaker 1: a lot of people that after working you know, their 1542 01:30:22,400 --> 01:30:25,920 Speaker 1: brains out for ten or fifteen years, they finally make 1543 01:30:26,080 --> 01:30:28,639 Speaker 1: four hundred thousand dollars a year, and now they're treated 1544 01:30:28,720 --> 01:30:31,840 Speaker 1: like they're in a similar financial situation to a billionaire 1545 01:30:32,000 --> 01:30:35,240 Speaker 1: in terms of their tax rate, and they're not. And 1546 01:30:35,280 --> 01:30:38,840 Speaker 1: they're also looking at taxing capital gains more, which you know, look, 1547 01:30:38,840 --> 01:30:41,080 Speaker 1: they're they're honing it a little more on actually going 1548 01:30:41,120 --> 01:30:43,800 Speaker 1: after the very wealthy and not just you know, everybody. 1549 01:30:44,280 --> 01:30:46,880 Speaker 1: But there are effects of that. There are there are 1550 01:30:47,000 --> 01:30:52,000 Speaker 1: downstream issues that they will not admit, and it's all 1551 01:30:52,040 --> 01:30:54,080 Speaker 1: just gonna it's gonna be like the minimum wage argument. 1552 01:30:54,280 --> 01:30:56,320 Speaker 1: What feels good to people is going to be more 1553 01:30:56,360 --> 01:30:59,679 Speaker 1: important than what actually is when it comes to taxes. 1554 01:31:01,640 --> 01:31:05,920 Speaker 1: Rock and roll, fellow patriots, it's time for roll call 1555 01:31:16,200 --> 01:31:20,760 Speaker 1: producer Mark in the house, spoocer Mark, what's going on, man, 1556 01:31:21,479 --> 01:31:23,559 Speaker 1: you know, holding it down for the Freedom Hut, making 1557 01:31:23,560 --> 01:31:27,000 Speaker 1: sure that the hut doesn't collapse. How's everything going going? Well? 1558 01:31:27,040 --> 01:31:28,800 Speaker 1: You know, Buck? You U asked for a bunch of 1559 01:31:29,120 --> 01:31:32,479 Speaker 1: reviews on the Apple podcast store. Can I report on 1560 01:31:32,520 --> 01:31:35,320 Speaker 1: how that's going. Yes, well, it's going very well. We're 1561 01:31:35,360 --> 01:31:37,759 Speaker 1: getting lots of five star reviews. But I noticed something 1562 01:31:38,280 --> 01:31:40,240 Speaker 1: about what people are writing. I'm not sure if you 1563 01:31:40,280 --> 01:31:43,840 Speaker 1: noticed this. Also, about ninety percent of them mentioned a 1564 01:31:43,920 --> 01:31:48,880 Speaker 1: certain producer of this show. Really, well, look at that. 1565 01:31:49,080 --> 01:31:51,800 Speaker 1: How many family members do you have that you can 1566 01:31:51,880 --> 01:31:53,760 Speaker 1: have all these reviews like this. It's not really a 1567 01:31:53,800 --> 01:31:57,519 Speaker 1: big family book. I'm just saying, I don't know your 1568 01:31:57,560 --> 01:32:01,320 Speaker 1: second cousins out there, the doc Mark second cousins are 1569 01:32:01,360 --> 01:32:03,479 Speaker 1: weighing in apparently, do you have some Do you have 1570 01:32:03,520 --> 01:32:06,280 Speaker 1: some exemplars of some of these reviews you'd like to 1571 01:32:06,280 --> 01:32:08,240 Speaker 1: share on air? Oh? No, there's nothing. There was nothing 1572 01:32:08,280 --> 01:32:10,240 Speaker 1: that made me chuckle this time. It was just mostly 1573 01:32:10,560 --> 01:32:12,679 Speaker 1: positive because if we have any funny ones, I obviously 1574 01:32:12,720 --> 01:32:14,360 Speaker 1: want to read those two it's the funny ones I 1575 01:32:14,760 --> 01:32:17,160 Speaker 1: gladly read. But there were no funny ones this time. Well, 1576 01:32:17,200 --> 01:32:19,599 Speaker 1: I really appreciate thank you for keep an eye on that, Mark. 1577 01:32:19,600 --> 01:32:21,559 Speaker 1: I really appreciate all the folks listening who do that. 1578 01:32:22,080 --> 01:32:25,400 Speaker 1: It's very helpful to us. Please five star reviews. If 1579 01:32:25,400 --> 01:32:29,280 Speaker 1: you listen to the podcast of the show, it affects 1580 01:32:29,439 --> 01:32:34,000 Speaker 1: who Apple will show as a podcast for new discovery purposes. 1581 01:32:34,560 --> 01:32:37,200 Speaker 1: And the more people know about and listen to this show, 1582 01:32:37,240 --> 01:32:39,040 Speaker 1: the more people want to keep listening to the show. 1583 01:32:39,080 --> 01:32:42,320 Speaker 1: That's we're like a product that you know, We're not 1584 01:32:42,560 --> 01:32:46,000 Speaker 1: on the top shelf with a giant display case around 1585 01:32:46,080 --> 01:32:48,320 Speaker 1: us as a podcast or I'm saying, you know, download this, 1586 01:32:48,400 --> 01:32:51,160 Speaker 1: download this. Some other folks kind of have that situation 1587 01:32:51,200 --> 01:32:53,320 Speaker 1: going for them, which is nice for them, But we're 1588 01:32:53,360 --> 01:32:57,280 Speaker 1: a podcast. We're like the amazing cookie that you find, 1589 01:32:57,560 --> 01:32:59,439 Speaker 1: you know, the in the in the box on the 1590 01:32:59,479 --> 01:33:01,320 Speaker 1: middle show Elf next to some other and you go, 1591 01:33:01,400 --> 01:33:04,200 Speaker 1: wait a second, these are the best cookies. I should 1592 01:33:04,200 --> 01:33:07,920 Speaker 1: eat these cookies all the time. So that's that's the 1593 01:33:07,920 --> 01:33:10,639 Speaker 1: way this works, and that's why our numbers keep growing 1594 01:33:10,640 --> 01:33:12,719 Speaker 1: even though, like I said, we have no marketing budget. 1595 01:33:13,200 --> 01:33:15,800 Speaker 1: You know, I didn't. I wasn't able to like buy 1596 01:33:15,880 --> 01:33:19,639 Speaker 1: a few million Facebook followers or something. It's all organic, 1597 01:33:19,680 --> 01:33:22,120 Speaker 1: as they say, It's all just people spreading the word 1598 01:33:22,160 --> 01:33:24,680 Speaker 1: about the show. And I really really appreciate that. So 1599 01:33:24,760 --> 01:33:27,120 Speaker 1: producer market looks like it looks like it's working. It 1600 01:33:27,200 --> 01:33:29,439 Speaker 1: absolutely isn't, you know. I just want to point out 1601 01:33:29,439 --> 01:33:31,479 Speaker 1: and maybe I'm the straw that stirs the drink around here, 1602 01:33:31,920 --> 01:33:35,519 Speaker 1: I you know, keeps the trains. I told Mark today, 1603 01:33:35,560 --> 01:33:38,240 Speaker 1: for those of you who watch Billions, you're really going 1604 01:33:38,280 --> 01:33:41,320 Speaker 1: to appreciate this comparison. And if now Mark you're watching 1605 01:33:41,439 --> 01:33:44,920 Speaker 1: just so he understands. But but Producer Mark is my Wags, 1606 01:33:46,000 --> 01:33:49,000 Speaker 1: you know, he's he's my my Wags from the show Billions, 1607 01:33:49,040 --> 01:33:52,200 Speaker 1: played by the actor Um, I'm trying to remember. I'm 1608 01:33:52,200 --> 01:33:56,040 Speaker 1: trying to remember. The guy's names. Is Michael Wags, Wagner 1609 01:33:56,240 --> 01:33:59,080 Speaker 1: is the is the uh is the cat? Is the 1610 01:33:59,600 --> 01:34:04,200 Speaker 1: carrat Oh played by David Costa Bile And he does 1611 01:34:04,200 --> 01:34:06,640 Speaker 1: a great job. Yeah, Producer Mark is my Wags for 1612 01:34:06,640 --> 01:34:08,880 Speaker 1: those of you that watch Billions. So he like lays 1613 01:34:08,920 --> 01:34:11,080 Speaker 1: down the law, you know, he makes sure that I 1614 01:34:11,120 --> 01:34:13,040 Speaker 1: actually show up to the office and that everything is 1615 01:34:13,080 --> 01:34:16,720 Speaker 1: like working as it should so Anto, Oh, he's a 1616 01:34:16,800 --> 01:34:19,000 Speaker 1: very good He's the best character on the show actually 1617 01:34:19,040 --> 01:34:23,479 Speaker 1: in my opinion, Well, i'll be as Paul Giamatti is 1618 01:34:23,479 --> 01:34:27,080 Speaker 1: also really good. And Producer Mark another show that I'm 1619 01:34:27,080 --> 01:34:30,360 Speaker 1: telling you you would like, all right, I have actually 1620 01:34:30,400 --> 01:34:32,439 Speaker 1: heard of that show and have had it on the 1621 01:34:32,560 --> 01:34:35,479 Speaker 1: peripheral of shows I want to watch like you will 1622 01:34:35,600 --> 01:34:38,920 Speaker 1: enjoy billions for sure, and I think missus Mark would 1623 01:34:38,960 --> 01:34:41,160 Speaker 1: would like it too. It's all it's all shot and 1624 01:34:41,240 --> 01:34:44,000 Speaker 1: set in New York, New York area, so there's a 1625 01:34:44,000 --> 01:34:46,760 Speaker 1: lot of stuff. A lot of the scenes are down 1626 01:34:46,840 --> 01:34:49,679 Speaker 1: by you know, the Federal Courthouse downtown and Lowerman actually 1627 01:34:49,760 --> 01:34:52,160 Speaker 1: here where our old Tribeca studio used to be, not 1628 01:34:52,200 --> 01:34:56,920 Speaker 1: too far from there. Technically it's still there indeed. Um 1629 01:34:57,000 --> 01:35:01,000 Speaker 1: So anyway, Producer Mark is my wags. Now we can 1630 01:35:01,439 --> 01:35:04,320 Speaker 1: we can get to some of the any exciting sports 1631 01:35:04,439 --> 01:35:06,320 Speaker 1: for the sports fans listening for this week that they 1632 01:35:06,320 --> 01:35:08,840 Speaker 1: should know about for this week. No, it's kind of quiet. 1633 01:35:08,840 --> 01:35:11,000 Speaker 1: I mean baseball season starts in two weeks. That's what 1634 01:35:11,040 --> 01:35:13,679 Speaker 1: I'm excited for. April first, the Mets open their season, 1635 01:35:13,720 --> 01:35:16,160 Speaker 1: and nine could not be more excited. Most ease. I'm 1636 01:35:16,200 --> 01:35:18,000 Speaker 1: sure I've asked this before, but what is you told me? 1637 01:35:18,080 --> 01:35:20,479 Speaker 1: Miracle might be the best sports movie of all time? 1638 01:35:20,760 --> 01:35:24,400 Speaker 1: What is the best baseball movie of all time? I mean, 1639 01:35:24,439 --> 01:35:28,320 Speaker 1: there's so many contenders there, because baseball is the movie 1640 01:35:28,360 --> 01:35:31,680 Speaker 1: that is the sport that has probably been depicted by 1641 01:35:31,720 --> 01:35:36,680 Speaker 1: movies most huh. I mean I love Major League if 1642 01:35:36,680 --> 01:35:39,360 Speaker 1: you like comedy, but a lot of people will probably 1643 01:35:40,000 --> 01:35:42,120 Speaker 1: argue with me that that's not the best baseball movie. 1644 01:35:42,200 --> 01:35:44,479 Speaker 1: I will tell you, I think Major League is a 1645 01:35:44,520 --> 01:35:48,599 Speaker 1: fantastic movie. I love Major League like I can watch 1646 01:35:48,640 --> 01:35:53,040 Speaker 1: Major League anytime. I think it's great. So we're totally 1647 01:35:53,240 --> 01:35:54,960 Speaker 1: on the same page on that one. I think Major 1648 01:35:55,040 --> 01:35:58,160 Speaker 1: League is amazing. And you know, but I feel like 1649 01:35:58,160 --> 01:36:00,280 Speaker 1: everyone wants to say Field of Dreams. I feel like 1650 01:36:00,320 --> 01:36:03,240 Speaker 1: that's the one, or maybe Bull Durham, and I will 1651 01:36:03,240 --> 01:36:06,960 Speaker 1: tell you, I've never seen Bull Durham, and I completely 1652 01:36:06,960 --> 01:36:09,160 Speaker 1: have forgotten. I know the basic premise of Field the Dreams, 1653 01:36:09,160 --> 01:36:11,360 Speaker 1: but I can't even remember one minute of it. So 1654 01:36:11,760 --> 01:36:13,760 Speaker 1: a lot of people throw the sand lot out there 1655 01:36:13,760 --> 01:36:17,479 Speaker 1: as well. Is that really a baseball movie. I feel 1656 01:36:17,479 --> 01:36:19,000 Speaker 1: like it's more of a coming of age movie than 1657 01:36:19,000 --> 01:36:22,280 Speaker 1: a baseball sure, but it revolves around there is there is, 1658 01:36:22,320 --> 01:36:25,760 Speaker 1: there is the baseball. I agree, So yeah, there's some money. 1659 01:36:25,880 --> 01:36:27,760 Speaker 1: Or if you're a producer, Mark, if you're a big 1660 01:36:27,840 --> 01:36:30,519 Speaker 1: rosy o'donald fan, there's always a league of their own. 1661 01:36:31,400 --> 01:36:34,760 Speaker 1: I mean, it's a solid movie. Look at him. He 1662 01:36:34,800 --> 01:36:39,240 Speaker 1: even gives respect to a league of their own. It 1663 01:36:39,360 --> 01:36:44,040 Speaker 1: was a good film. Madonna's in it. Madonna, you know, 1664 01:36:44,120 --> 01:36:48,240 Speaker 1: she's from Michigan. Kind of random. Yeah, she's from Michigan. 1665 01:36:48,400 --> 01:36:51,200 Speaker 1: I guess all right, let's get in always from the coast. Yeah, 1666 01:36:51,400 --> 01:36:53,320 Speaker 1: that's what I'm saying that you wouldn't wouldn't expect her 1667 01:36:53,320 --> 01:36:55,320 Speaker 1: to be kind of I mean, I think Michigan is 1668 01:36:55,360 --> 01:36:57,800 Speaker 1: the heartland or do we consider Michigan the heartland or 1669 01:36:57,840 --> 01:36:59,320 Speaker 1: is a kind of its own thing. I'd say it's 1670 01:36:59,320 --> 01:37:03,400 Speaker 1: the heartland, like we're on you know, we got kfab Omaha, 1671 01:37:03,439 --> 01:37:07,160 Speaker 1: Nebraska for like, that's definitely the heartland. Texas feels to 1672 01:37:07,200 --> 01:37:08,920 Speaker 1: me like the heartland of the Texas is almost its 1673 01:37:08,920 --> 01:37:12,320 Speaker 1: own country. Yeah, I think Michigan's the hardland. It's not 1674 01:37:12,360 --> 01:37:14,559 Speaker 1: a coast, and it's not the South, so I think 1675 01:37:14,600 --> 01:37:20,400 Speaker 1: it's got to be considered hartland. All right, Bob hey Buck, 1676 01:37:20,479 --> 01:37:24,320 Speaker 1: active duty Marine here station overseas. I want to share 1677 01:37:24,400 --> 01:37:28,000 Speaker 1: my recent experience with the stand down on extremism that happened. 1678 01:37:28,400 --> 01:37:30,720 Speaker 1: I believe every American should know what the military is 1679 01:37:30,760 --> 01:37:35,080 Speaker 1: now teaching. My unit underwent a ninety minute presentation discussion 1680 01:37:35,160 --> 01:37:39,600 Speaker 1: on extremism and racism and everything else. You'd expect my 1681 01:37:39,720 --> 01:37:43,280 Speaker 1: intelligence was insulted. I was offended. I was offended at 1682 01:37:43,280 --> 01:37:46,720 Speaker 1: the Pentagon brass and the administration deem it necessary to 1683 01:37:46,800 --> 01:37:50,000 Speaker 1: lecture us as if we are children. The military needs 1684 01:37:50,000 --> 01:37:53,800 Speaker 1: to be a meritocracy, not some partisan social justice initiative. 1685 01:37:54,520 --> 01:37:57,320 Speaker 1: Nobody here cares what color your skin is. It's neither 1686 01:37:57,360 --> 01:38:00,920 Speaker 1: a priority nor even a remote consideration. In training and 1687 01:38:01,000 --> 01:38:03,240 Speaker 1: here in the fleet, we have people of every single 1688 01:38:03,240 --> 01:38:06,519 Speaker 1: ethnic group you can imagine, in every part of the core. 1689 01:38:07,040 --> 01:38:09,280 Speaker 1: We have each other's back because we serve our country. 1690 01:38:09,600 --> 01:38:11,600 Speaker 1: The last thing we need in natural defense is to 1691 01:38:11,600 --> 01:38:17,120 Speaker 1: be preoccupied with destructive ideologies and will culture. It sickened 1692 01:38:17,120 --> 01:38:20,160 Speaker 1: me to sit through this garbage. If the military wants 1693 01:38:20,200 --> 01:38:22,280 Speaker 1: to self implode and turn good people away, this is 1694 01:38:22,280 --> 01:38:24,880 Speaker 1: a great way to start. Well, Bob, first of all, 1695 01:38:24,920 --> 01:38:27,400 Speaker 1: thank you for your service, and also we really appreciate 1696 01:38:27,400 --> 01:38:29,599 Speaker 1: you writing in to give us a sense of what's 1697 01:38:29,760 --> 01:38:32,000 Speaker 1: really going on here. Now I can share this with you, Bob. 1698 01:38:32,240 --> 01:38:35,320 Speaker 1: I remember, for my time in the CIA and the 1699 01:38:35,439 --> 01:38:39,679 Speaker 1: counter terrorism side of things, how we were working against 1700 01:38:39,680 --> 01:38:42,080 Speaker 1: al Qaeda. I mean we had whole units and whole 1701 01:38:42,080 --> 01:38:47,320 Speaker 1: offices and everything devoted to fighting against jihadest terrorism, and 1702 01:38:47,400 --> 01:38:51,160 Speaker 1: yet when we'd sit in these unclassified trainings that some 1703 01:38:51,960 --> 01:38:54,479 Speaker 1: contractor would come in, you know, some person would come 1704 01:38:54,479 --> 01:38:57,880 Speaker 1: in and teach a module for the government. This is 1705 01:38:57,880 --> 01:39:01,000 Speaker 1: when I was at the NYPDE Intelligence of a h 1706 01:39:01,040 --> 01:39:03,439 Speaker 1: They'd come in and teach some module and it was 1707 01:39:03,479 --> 01:39:07,400 Speaker 1: always oh, the you know, like the shining light of 1708 01:39:07,520 --> 01:39:11,599 Speaker 1: christ terrorist group is looking to blow up city Hall, 1709 01:39:11,640 --> 01:39:13,479 Speaker 1: and you know, there was oh, it was like, uh, 1710 01:39:14,080 --> 01:39:16,680 Speaker 1: It's like, is this really this is really what we're 1711 01:39:16,720 --> 01:39:20,080 Speaker 1: worried about? Okay, okay, I guess this is you know, 1712 01:39:20,120 --> 01:39:22,599 Speaker 1: it was always a guy named Bob who hates the government, 1713 01:39:23,040 --> 01:39:25,160 Speaker 1: who was the terrorist entity that we were we were 1714 01:39:25,160 --> 01:39:29,160 Speaker 1: supposed to use as as the example. I understand it's fictionalized, 1715 01:39:29,160 --> 01:39:32,439 Speaker 1: although not always were these things fictionalized, but it was 1716 01:39:32,560 --> 01:39:35,680 Speaker 1: very clear what was going on. It was very obvious 1717 01:39:36,160 --> 01:39:39,800 Speaker 1: what was what the situation actually was there, and and 1718 01:39:39,880 --> 01:39:42,439 Speaker 1: it sounds it sounds like that's even now in the 1719 01:39:42,600 --> 01:39:45,960 Speaker 1: in the military side of things. Bob. I'm just sorry 1720 01:39:45,960 --> 01:39:48,439 Speaker 1: to hear you gotta deal with this. But if you would, Bob, 1721 01:39:48,720 --> 01:39:50,680 Speaker 1: I mean, if you can, I'm assuming obviously this is 1722 01:39:50,720 --> 01:39:53,720 Speaker 1: all unclassified stuff, send us another note and tell us 1723 01:39:53,800 --> 01:39:55,760 Speaker 1: what kind of stuff were they teaching. I mean, this 1724 01:39:55,840 --> 01:39:57,960 Speaker 1: is unclassified being taught to the military. You should be 1725 01:39:57,960 --> 01:40:01,320 Speaker 1: able to tell us, like, what are they saying about 1726 01:40:01,439 --> 01:40:03,680 Speaker 1: racism and extremism? You know, give us some sense of 1727 01:40:03,680 --> 01:40:05,280 Speaker 1: it if you can. I obviously don't want, you know, 1728 01:40:05,320 --> 01:40:07,680 Speaker 1: anyone to get in any trouble or anything, but I 1729 01:40:07,680 --> 01:40:09,120 Speaker 1: would like to know. And I do think there's a 1730 01:40:09,160 --> 01:40:11,800 Speaker 1: need to blow the whistle on this stuff. What are 1731 01:40:11,800 --> 01:40:14,040 Speaker 1: they teaching people in the military, And when it comes 1732 01:40:14,040 --> 01:40:16,160 Speaker 1: to racism, I'm not asking for someone to send in 1733 01:40:16,160 --> 01:40:19,599 Speaker 1: information about some classified weapons system. I'm like, Okay, how 1734 01:40:19,600 --> 01:40:22,000 Speaker 1: are they teaching the military racism is bad? I think 1735 01:40:22,000 --> 01:40:26,439 Speaker 1: that's unclassified. So we can all talk about that. Richard Buck, 1736 01:40:26,479 --> 01:40:28,759 Speaker 1: I've been on vacation and now I'm marathoning your show, 1737 01:40:28,760 --> 01:40:31,519 Speaker 1: which is great. Well, Richard, You've got an amazing taste. 1738 01:40:31,840 --> 01:40:33,680 Speaker 1: One thing no one is talking about is when they 1739 01:40:33,720 --> 01:40:37,479 Speaker 1: stop selling books. Amazon, Barnes and Noble, etc. Have all 1740 01:40:37,479 --> 01:40:40,880 Speaker 1: these doctor SEUs books and trans books and all their warehouses. 1741 01:40:41,360 --> 01:40:44,040 Speaker 1: They won't keep them. They'll quietly throw them into recycling 1742 01:40:44,080 --> 01:40:46,920 Speaker 1: bins and they will be shredded quietly out of the 1743 01:40:46,960 --> 01:40:49,840 Speaker 1: watchful eyes of the public. How is this any different 1744 01:40:49,880 --> 01:40:53,280 Speaker 1: from burning books? Seems much more Stalinist because Stalin did 1745 01:40:53,320 --> 01:40:55,760 Speaker 1: many things in secret. Still, it's very troubling. Hold your 1746 01:40:55,760 --> 01:40:58,920 Speaker 1: band books and your shields high, yeah, Richard. As people 1747 01:40:58,920 --> 01:41:02,800 Speaker 1: have been pointing out, those who banned books and burn 1748 01:41:02,880 --> 01:41:06,080 Speaker 1: books are never the good guys throughout all throughout history, 1749 01:41:06,280 --> 01:41:09,439 Speaker 1: The book burners, the book banners, these are not the 1750 01:41:09,520 --> 01:41:13,800 Speaker 1: people that had that had the force of righteousness on 1751 01:41:13,840 --> 01:41:18,120 Speaker 1: their side. And the Left is drunk with power and 1752 01:41:18,360 --> 01:41:22,439 Speaker 1: frenzied and emotionally distraught at having to deal with things 1753 01:41:22,439 --> 01:41:24,640 Speaker 1: in reality that it doesn't that the left does not 1754 01:41:24,680 --> 01:41:27,599 Speaker 1: approve of, you know, like men and women are different. 1755 01:41:27,640 --> 01:41:29,559 Speaker 1: This is upsetting to the left. They don't want to 1756 01:41:29,640 --> 01:41:30,960 Speaker 1: they don't want to hear this, they don't want to 1757 01:41:30,960 --> 01:41:36,280 Speaker 1: accept this. And that then brings me to what we 1758 01:41:36,320 --> 01:41:38,400 Speaker 1: can do about this, and that is we have to 1759 01:41:38,439 --> 01:41:42,360 Speaker 1: have a whole rethink of institutions in this country. And 1760 01:41:42,680 --> 01:41:48,360 Speaker 1: we need we need explicitly conservative institutions in every facet 1761 01:41:48,400 --> 01:41:52,759 Speaker 1: of American society. We need publishing houses, we need social 1762 01:41:52,760 --> 01:41:56,800 Speaker 1: media platforms, we need server farms, we need we need 1763 01:41:56,880 --> 01:42:00,639 Speaker 1: places that are and let's be clear our values are 1764 01:42:00,680 --> 01:42:03,559 Speaker 1: that we could you know, we're not looking to CeNSE 1765 01:42:03,640 --> 01:42:06,800 Speaker 1: or any books whatever, but we're saying that we'll at 1766 01:42:06,840 --> 01:42:10,400 Speaker 1: least defend the conservative value of free access to the marketplace. 1767 01:42:10,920 --> 01:42:16,240 Speaker 1: Went will defend the conservative value of of you know, 1768 01:42:16,320 --> 01:42:20,519 Speaker 1: content neutrality in speech in the political sphere as a 1769 01:42:20,560 --> 01:42:24,840 Speaker 1: social media platform for example, but also maybe just have 1770 01:42:24,880 --> 01:42:27,000 Speaker 1: some explicitly conservative things that do what they do. And 1771 01:42:27,080 --> 01:42:29,040 Speaker 1: we say, no, actually it's got to be conservative. I mean, 1772 01:42:29,080 --> 01:42:30,639 Speaker 1: you know, we got to think about that as well. 1773 01:42:31,800 --> 01:42:34,200 Speaker 1: But we are shut out now of institutions in a 1774 01:42:34,240 --> 01:42:40,040 Speaker 1: way that they're transforming the country with this control. We 1775 01:42:40,080 --> 01:42:42,280 Speaker 1: are living in a different America, will be living in 1776 01:42:42,320 --> 01:42:45,520 Speaker 1: a very different America in ten, fifteen to twenty years 1777 01:42:45,560 --> 01:42:48,320 Speaker 1: if this trend continues. And they know that, which is 1778 01:42:48,320 --> 01:42:50,320 Speaker 1: why they're not even really hiding it anymore, and which 1779 01:42:50,360 --> 01:42:53,600 Speaker 1: is why they feel as though their beliefs, their ideology 1780 01:42:53,840 --> 01:42:57,080 Speaker 1: is so ascendant at this point. Continue on with Role Call. 1781 01:42:57,160 --> 01:42:59,040 Speaker 1: We have Joseph and remember if you want to be 1782 01:42:59,120 --> 01:43:01,559 Speaker 1: a part of Role Call, go to Facebook dot com 1783 01:43:01,600 --> 01:43:04,320 Speaker 1: slash buck sex then also please just go to bucksexen 1784 01:43:04,400 --> 01:43:07,400 Speaker 1: dot com. You can always press play on the podcast 1785 01:43:07,479 --> 01:43:11,120 Speaker 1: there that's very much an easy way to listen to 1786 01:43:11,160 --> 01:43:14,160 Speaker 1: the Buckxxen show anytime. So you listen on your local station, great, 1787 01:43:14,200 --> 01:43:16,760 Speaker 1: But if you need to listen on demand, you can 1788 01:43:16,840 --> 01:43:19,360 Speaker 1: listen on your smartphone. Just go to bucksexen dot com, 1789 01:43:19,400 --> 01:43:23,120 Speaker 1: press play or on the iHeartRadio app or the podcasts 1790 01:43:23,160 --> 01:43:26,559 Speaker 1: that you have an Apple the Apple podcast store stipen 1791 01:43:26,600 --> 01:43:29,960 Speaker 1: buck sex then will pop up josiph rights, Hey Buck. 1792 01:43:30,000 --> 01:43:31,960 Speaker 1: I was excited for about a second when I found 1793 01:43:31,960 --> 01:43:35,840 Speaker 1: out that California was authorizing Jim's to open up again. 1794 01:43:36,360 --> 01:43:38,960 Speaker 1: My enthusiasm started to wane when the people from the 1795 01:43:39,040 --> 01:43:41,360 Speaker 1: gym made sure to warn me that I would have 1796 01:43:41,400 --> 01:43:44,080 Speaker 1: to wear a mask over my mouth and knows at 1797 01:43:44,120 --> 01:43:47,240 Speaker 1: all times. I thought one of the reasons that get 1798 01:43:47,320 --> 01:43:49,720 Speaker 1: that I was getting my out of shape body on 1799 01:43:49,760 --> 01:43:51,360 Speaker 1: the bike was to get the heart going a little 1800 01:43:51,400 --> 01:43:54,439 Speaker 1: more If I do that, isn't a suffocating mask going 1801 01:43:54,479 --> 01:43:57,920 Speaker 1: to hamper my breathing in a perhaps dangerous way, adding 1802 01:43:57,960 --> 01:44:00,520 Speaker 1: insult to injury. The email also told me that amenities 1803 01:44:00,560 --> 01:44:03,679 Speaker 1: like the sauna and jacuzzi would not be available. Also, 1804 01:44:03,800 --> 01:44:06,600 Speaker 1: I was informed that building my account would resume. I 1805 01:44:06,640 --> 01:44:09,280 Speaker 1: don't think that steam room saunas and jacuzzies are hospitable 1806 01:44:09,320 --> 01:44:11,160 Speaker 1: to the virus and are among the reasons I like 1807 01:44:11,320 --> 01:44:14,120 Speaker 1: using the gym. I bought my own exercise bike, but 1808 01:44:14,160 --> 01:44:16,240 Speaker 1: it would be very costly to buy my own steam 1809 01:44:16,320 --> 01:44:19,280 Speaker 1: room or JACUZI. I hate counseling my account over the 1810 01:44:19,320 --> 01:44:21,840 Speaker 1: issue because obviously by Jim has probably taken it in 1811 01:44:21,880 --> 01:44:23,880 Speaker 1: the shore. It's paying the lease in the building. But 1812 01:44:23,960 --> 01:44:26,559 Speaker 1: since the state is making them cut out these amenities building, 1813 01:44:26,560 --> 01:44:28,960 Speaker 1: my account almost feels like they're stealing from me. It's 1814 01:44:29,000 --> 01:44:31,160 Speaker 1: not what I agreed to. What think you listened to 1815 01:44:31,160 --> 01:44:34,360 Speaker 1: the show all the time? Thanks? Joseph is a tough one. 1816 01:44:34,400 --> 01:44:36,479 Speaker 1: I mean, I I was in my gym yesterday, but 1817 01:44:36,520 --> 01:44:39,000 Speaker 1: it's a gym in my building, so it's kind of 1818 01:44:39,000 --> 01:44:41,400 Speaker 1: a private gym. But there's I mean, there are hundreds 1819 01:44:41,400 --> 01:44:42,800 Speaker 1: of people living in my buildings. There's a lot of 1820 01:44:42,840 --> 01:44:47,559 Speaker 1: people use that gym. And you know, I saw a guy. 1821 01:44:48,000 --> 01:44:49,760 Speaker 1: There was one other guy because I went kind of late, 1822 01:44:50,160 --> 01:44:52,120 Speaker 1: who didn't have a mask on when I walked in, 1823 01:44:52,200 --> 01:44:54,120 Speaker 1: and he kind of scurried to go pull his mask 1824 01:44:54,240 --> 01:44:56,919 Speaker 1: put a mask on when I walked in. I told him, buddy, buddy, 1825 01:44:57,520 --> 01:44:59,519 Speaker 1: come on, do I look like a hypochondract to you, 1826 01:44:59,560 --> 01:45:01,840 Speaker 1: it's fine, don't don't. Don't put a mask on all right, 1827 01:45:02,320 --> 01:45:03,960 Speaker 1: not for me at least, unless you want to protect 1828 01:45:04,000 --> 01:45:05,519 Speaker 1: yourself from me. That's fine. But I was like, don't 1829 01:45:05,520 --> 01:45:07,600 Speaker 1: do it on my beef. I don't care. And he 1830 01:45:07,680 --> 01:45:09,599 Speaker 1: was like, oh, that's great. He's like, I'm so excited. 1831 01:45:09,920 --> 01:45:11,640 Speaker 1: And so, you know, the two of us were in 1832 01:45:11,680 --> 01:45:14,080 Speaker 1: there working out. I actually wore my mask because I 1833 01:45:14,120 --> 01:45:15,559 Speaker 1: knew what was going to happen, which is that within 1834 01:45:15,640 --> 01:45:18,040 Speaker 1: minutes somebody else was going to come in. And it 1835 01:45:18,160 --> 01:45:21,280 Speaker 1: was someone who I know is a supermasker, and you 1836 01:45:21,320 --> 01:45:22,800 Speaker 1: know she would have it, and so he had to 1837 01:45:22,800 --> 01:45:25,799 Speaker 1: put his mask on it. But it's so stupid, folks, 1838 01:45:25,920 --> 01:45:28,840 Speaker 1: it really is. Okay, it's just outrageous. Now we're gonna 1839 01:45:28,840 --> 01:45:31,400 Speaker 1: be on We're gonna be on the treadmill and they 1840 01:45:31,439 --> 01:45:33,960 Speaker 1: think that what the air that I'm breathing. There's already 1841 01:45:34,000 --> 01:45:37,160 Speaker 1: social distancing because we've got treadmills separated by like ten feet, 1842 01:45:37,920 --> 01:45:39,960 Speaker 1: and they're worried that the air I'm breathing out is 1843 01:45:39,960 --> 01:45:42,080 Speaker 1: going to circulate all over the room. Well, if that 1844 01:45:42,120 --> 01:45:44,960 Speaker 1: can happen, the mask isn't stopping air. From getting out 1845 01:45:45,000 --> 01:45:48,679 Speaker 1: around the side, so it's still circulating. So it's just 1846 01:45:49,200 --> 01:45:50,920 Speaker 1: the whole thing is so dumb. I don't know what 1847 01:45:50,960 --> 01:45:56,080 Speaker 1: to tell you, Rob. I'm sorry, not Rob Joseph about this, 1848 01:45:56,240 --> 01:46:00,439 Speaker 1: because you know, they just there's so much angs out 1849 01:46:00,439 --> 01:46:02,360 Speaker 1: there and they like this control and they don't want 1850 01:46:02,400 --> 01:46:05,639 Speaker 1: to let it go. But yeah, I mean, I tried 1851 01:46:05,680 --> 01:46:09,080 Speaker 1: to do some cardio yesterday, which was really tough. I mean, 1852 01:46:09,160 --> 01:46:12,280 Speaker 1: my cardio, my cardio fitness is probably the lowest it's 1853 01:46:12,280 --> 01:46:13,639 Speaker 1: ever been in my life right now. I'm just gonna 1854 01:46:13,640 --> 01:46:15,720 Speaker 1: say it. My strength is getting a little better, but 1855 01:46:15,800 --> 01:46:18,360 Speaker 1: my cardio fitness is at an all time low, and 1856 01:46:18,360 --> 01:46:20,240 Speaker 1: I'm trying to start doing some cardio to build this 1857 01:46:20,320 --> 01:46:23,960 Speaker 1: back up. And I'm just I've got this sopping wet, 1858 01:46:24,600 --> 01:46:28,240 Speaker 1: gross mask on my face and I'm sitting here. I'm like, 1859 01:46:28,280 --> 01:46:31,959 Speaker 1: thanks Foucy, you little idiot. This is not helping anybody. 1860 01:46:32,160 --> 01:46:34,080 Speaker 1: I don't have COVID. There's no one else around me. 1861 01:46:34,160 --> 01:46:36,560 Speaker 1: They're not gonna get COVID from me being on the treadmill. 1862 01:46:36,800 --> 01:46:39,040 Speaker 1: But if, oh gosh, I pull my mask down, everyone's 1863 01:46:39,040 --> 01:46:42,519 Speaker 1: gonna get sicker. It's gonna die. It's idiotic gyms are 1864 01:46:42,680 --> 01:46:46,120 Speaker 1: not major nodes of transmission. Therefore they should be considered 1865 01:46:46,200 --> 01:46:50,479 Speaker 1: acceptable and we don't need to mask in the damn gym. 1866 01:46:51,240 --> 01:46:53,960 Speaker 1: But I don't listen to me on this stuff. All right, 1867 01:46:54,000 --> 01:46:57,840 Speaker 1: we have Chris writing hey Buck producer Mark. Great job, guys, 1868 01:46:57,840 --> 01:46:59,599 Speaker 1: thanks for always giving us the truth, whether we want 1869 01:46:59,600 --> 01:47:02,320 Speaker 1: to hear it or not. Great job exposing the terrible 1870 01:47:02,360 --> 01:47:05,479 Speaker 1: Colorado governor. I heard you say you've never been to Colorado. Well, 1871 01:47:05,520 --> 01:47:07,920 Speaker 1: will you please come visit rural Colorado, the red part 1872 01:47:07,960 --> 01:47:10,280 Speaker 1: of the state. Good folks out here. They'll treat a 1873 01:47:10,280 --> 01:47:12,479 Speaker 1: New York City guy like family. I'm sure they will. Chris. 1874 01:47:12,520 --> 01:47:15,679 Speaker 1: Thank you. As for the beer, I'm also gluten free 1875 01:47:15,680 --> 01:47:17,400 Speaker 1: because it recks my inside. It's not sure if you 1876 01:47:17,400 --> 01:47:20,280 Speaker 1: can get it on the East Coast, but Holidaily Brewing 1877 01:47:20,360 --> 01:47:23,599 Speaker 1: Company from Golden, Colorado makes good gluten free beer. Favorite 1878 01:47:23,600 --> 01:47:27,360 Speaker 1: blonde is my favorite. Shield's Eye. Well, Chris, thank you 1879 01:47:27,400 --> 01:47:30,280 Speaker 1: for the tip, the heads up on this one. I 1880 01:47:30,320 --> 01:47:32,000 Speaker 1: was I was unaware of that, so I will have 1881 01:47:32,120 --> 01:47:34,840 Speaker 1: to I'll check that one out. Thanks so much for 1882 01:47:35,439 --> 01:47:40,080 Speaker 1: writing in, and I'll give it a shot. And for 1883 01:47:40,160 --> 01:47:43,240 Speaker 1: all of you, you should give a shot to passing 1884 01:47:43,240 --> 01:47:46,400 Speaker 1: the Buck, tell somebody new this week or this weekend. Hey, 1885 01:47:46,439 --> 01:47:48,160 Speaker 1: check out the sky Bucks Accent. He's got a pretty 1886 01:47:48,280 --> 01:47:51,240 Speaker 1: darn good podcast. You really enjoy it. And that's it 1887 01:47:51,320 --> 01:47:53,120 Speaker 1: for us. Bruce and Mark and I are signing off 1888 01:47:53,200 --> 01:47:54,639 Speaker 1: back tomorrow Shield's Eye