1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of the Clay Travis and Buck 2 00:00:03,360 --> 00:00:07,640 Speaker 1: Sexton Show podcast. Welcome everybody to the Clay Travis and 3 00:00:07,880 --> 00:00:12,399 Speaker 1: Buck Sexton Show on this Thursday. Appreciate you being here 4 00:00:12,400 --> 00:00:15,160 Speaker 1: with us eight hundred two two eight eight two on 5 00:00:15,200 --> 00:00:19,959 Speaker 1: the phone lines. We're still waiting for a written house 6 00:00:20,320 --> 00:00:23,480 Speaker 1: jury verdict, so we do not know, but we will 7 00:00:23,520 --> 00:00:27,440 Speaker 1: bring you the moment we do. It could happen today, 8 00:00:27,520 --> 00:00:30,319 Speaker 1: could happen tomorrow. We'll also do a little bit of 9 00:00:30,840 --> 00:00:33,960 Speaker 1: let's be honest analysis bordering on speculation about what this 10 00:00:34,080 --> 00:00:37,159 Speaker 1: jury's actually thinking. Latest is with that, plus, we've got 11 00:00:37,200 --> 00:00:41,159 Speaker 1: some numbers when it comes to COVID out of Vermont, 12 00:00:41,240 --> 00:00:46,280 Speaker 1: out of Michigan, troubling stuff. We look like we're heading into, 13 00:00:46,320 --> 00:00:50,720 Speaker 1: at least in some states, quite a Thanksgiving period surge here. 14 00:00:51,479 --> 00:00:55,560 Speaker 1: And then the way the media covers Joe Biden, that'll 15 00:00:55,600 --> 00:00:58,520 Speaker 1: be discussion we get to as well. He likes cars 16 00:00:58,560 --> 00:01:01,400 Speaker 1: and ice cream and walks on the beach. This is 17 00:01:01,400 --> 00:01:03,960 Speaker 1: from the Washington Post, by the way, supposed to be 18 00:01:04,000 --> 00:01:07,319 Speaker 1: a serious newspaper, but one thing that's been fastening to 19 00:01:07,319 --> 00:01:11,720 Speaker 1: watch it play out as we've seen the facts in 20 00:01:11,760 --> 00:01:16,840 Speaker 1: this trial shatter the initial media narrative about Kyle Rittenhouse 21 00:01:16,880 --> 00:01:20,840 Speaker 1: as a white supremacist, Kyle Rittenhouse as a active shooter, 22 00:01:21,200 --> 00:01:27,319 Speaker 1: as an evildoer, is that somehow the narrative of racism continues. 23 00:01:27,440 --> 00:01:31,040 Speaker 1: He shot three white guys. He's a white guy. They 24 00:01:31,080 --> 00:01:35,960 Speaker 1: all attacked him, they all have extensive criminal records, and 25 00:01:36,040 --> 00:01:41,160 Speaker 1: yet it's a story about racism. Here is Joy Reid 26 00:01:41,240 --> 00:01:45,240 Speaker 1: who does manage it is actually something of a skill. 27 00:01:45,400 --> 00:01:49,560 Speaker 1: She does manage to take anything and somehow make it 28 00:01:49,720 --> 00:01:56,120 Speaker 1: about white supremacy, white racism. Here she is taking the 29 00:01:56,360 --> 00:02:00,720 Speaker 1: Rittenhouse trial, which anyone who's been watching understands is in 30 00:02:00,760 --> 00:02:04,240 Speaker 1: no way, shape or form about Kyle Rittenhouse being a racist, 31 00:02:04,320 --> 00:02:06,520 Speaker 1: but she still thinks it's. Oh no, by the way, 32 00:02:06,560 --> 00:02:11,720 Speaker 1: for good measure brings in none other than the Supreme 33 00:02:11,760 --> 00:02:16,560 Speaker 1: Court Justice Brett Kavanaugh into the discussion since cor Rittenhouse trial. 34 00:02:16,720 --> 00:02:19,639 Speaker 1: It reminded a lot of people of something something I 35 00:02:19,840 --> 00:02:22,880 Speaker 1: can't remember what it was. Oh, the Brett Kavanaugh hearings 36 00:02:22,880 --> 00:02:25,160 Speaker 1: in which Brett Kavanaugh, who had been accused by a 37 00:02:25,240 --> 00:02:30,400 Speaker 1: high school friend of committing sexual abuse of her, cried 38 00:02:30,600 --> 00:02:35,080 Speaker 1: his way through the hearings. In America, there's a thing 39 00:02:36,040 --> 00:02:42,960 Speaker 1: about both white vigilantism and white tears, particularly male white tears, 40 00:02:42,960 --> 00:02:45,000 Speaker 1: really white tears in general. They carry out and then 41 00:02:45,040 --> 00:02:49,200 Speaker 1: as soon as they get cause green waterworks, white men 42 00:02:49,240 --> 00:02:51,200 Speaker 1: can get away with that too, and it has the 43 00:02:51,240 --> 00:02:56,120 Speaker 1: same effect. Even as the right tries to politicize the 44 00:02:56,160 --> 00:02:59,440 Speaker 1: idea that masculinity is being robbed from American men by 45 00:02:59,520 --> 00:03:02,960 Speaker 1: multi call ltualism and wokeism, they still want to be 46 00:03:03,040 --> 00:03:05,880 Speaker 1: able to have their tears. Clay, can I just ask you, 47 00:03:05,960 --> 00:03:10,400 Speaker 1: do you think there is an extent of anti white 48 00:03:10,480 --> 00:03:13,840 Speaker 1: rhetoric that MSNBC would not would would not be okay 49 00:03:13,840 --> 00:03:15,440 Speaker 1: with at this point? I just wonder is there an 50 00:03:15,480 --> 00:03:20,520 Speaker 1: outer limit to viciousness and sadism from the anchors over there. 51 00:03:20,560 --> 00:03:26,600 Speaker 1: I'm curious, buck, pretend that Tucker Carlson or Sean Hannity 52 00:03:27,160 --> 00:03:31,280 Speaker 1: or Laura Ingram did the exact same bit Joy Reid 53 00:03:31,440 --> 00:03:37,200 Speaker 1: just did, but they said instead of white men, black men, 54 00:03:37,640 --> 00:03:42,800 Speaker 1: Hispanic men, Asian men. Is there any doubt that all 55 00:03:42,840 --> 00:03:47,400 Speaker 1: of the woke vigilantes out there would immediately demand that 56 00:03:47,480 --> 00:03:50,960 Speaker 1: they be fired for racism. This is the thing that 57 00:03:51,040 --> 00:03:55,760 Speaker 1: I think is significant here. We have created a world 58 00:03:56,720 --> 00:04:01,680 Speaker 1: where white people can be at act based on their 59 00:04:01,880 --> 00:04:07,640 Speaker 1: race that is not allowed in any way anywhere else. 60 00:04:07,720 --> 00:04:12,960 Speaker 1: These are the peculiar rules of identity politics and Buck. 61 00:04:13,120 --> 00:04:18,760 Speaker 1: What it does is corrode everything because if you're not 62 00:04:18,920 --> 00:04:23,080 Speaker 1: applying consistent standards, first of all, if you're basing anything, 63 00:04:23,279 --> 00:04:25,240 Speaker 1: let me just be clear on this, if you are 64 00:04:25,279 --> 00:04:32,760 Speaker 1: basing anything success, failure, significance, insignificance on someone's race, you 65 00:04:32,800 --> 00:04:37,000 Speaker 1: are an imbecile. Because that is the definition of racism 66 00:04:37,080 --> 00:04:41,680 Speaker 1: to say somebody did this because of the color of 67 00:04:41,720 --> 00:04:44,440 Speaker 1: their skin, or someone can or cannot do this because 68 00:04:44,440 --> 00:04:46,479 Speaker 1: of the color of their skin. And this is the 69 00:04:46,560 --> 00:04:50,000 Speaker 1: sort of convoluted circular logic that we have arrived at 70 00:04:51,000 --> 00:04:55,960 Speaker 1: where now modern day left wing wocists are the most 71 00:04:56,080 --> 00:04:59,159 Speaker 1: racist people in America and there's not even a close 72 00:04:59,240 --> 00:05:03,040 Speaker 1: second to the Buck. And so Joy Reid is not intelligent. 73 00:05:03,440 --> 00:05:08,680 Speaker 1: She doesn't make ever strong arguments. All she does is 74 00:05:08,920 --> 00:05:12,960 Speaker 1: embrace identity politics and cancel culture, which are the twin 75 00:05:13,080 --> 00:05:18,880 Speaker 1: pillars of Democratic Party association now which are going to 76 00:05:18,960 --> 00:05:22,880 Speaker 1: destroy the Democratic Party, and she is going to be 77 00:05:23,040 --> 00:05:27,000 Speaker 1: leading them right off the cliff into oblivion. You see 78 00:05:27,040 --> 00:05:32,280 Speaker 1: this with even the left approach to CRT and the 79 00:05:32,360 --> 00:05:35,240 Speaker 1: parents who are upset about CRT being taught to their kids. 80 00:05:35,839 --> 00:05:41,680 Speaker 1: You're supposed to submit to a leftist Democrat narrative of 81 00:05:41,880 --> 00:05:47,440 Speaker 1: anti whiteness, of whiteness, white supremacy as bad things, inherently oppressive. 82 00:05:47,480 --> 00:05:50,880 Speaker 1: You're supposed to say you're right, and if you don't, 83 00:05:51,640 --> 00:05:54,920 Speaker 1: the game is that in and of itself is evidence 84 00:05:55,240 --> 00:05:58,159 Speaker 1: of your racism as a white person. If you won't 85 00:05:58,160 --> 00:06:00,960 Speaker 1: sit there and say white fragilities are great, book, it's 86 00:06:01,000 --> 00:06:04,120 Speaker 1: not idiotic, it's amazing. If you won't sit there and say, 87 00:06:04,160 --> 00:06:07,960 Speaker 1: you know what, I should teach my kids that somehow 88 00:06:08,320 --> 00:06:13,320 Speaker 1: the sins of their ancestors fall upon their heads today 89 00:06:13,560 --> 00:06:18,080 Speaker 1: in America and they are guilty just because of their 90 00:06:18,080 --> 00:06:21,880 Speaker 1: white skin color. This is the kind of rhetoric that 91 00:06:22,080 --> 00:06:25,680 Speaker 1: is all over the place among Democrats. They put these 92 00:06:25,680 --> 00:06:28,800 Speaker 1: people on TV who will speak about this as though 93 00:06:28,800 --> 00:06:31,800 Speaker 1: there's some kind of PhD and anti whiteness. That is, 94 00:06:31,960 --> 00:06:35,320 Speaker 1: they create these pseudo academic frameworks for the discussion and 95 00:06:35,400 --> 00:06:38,600 Speaker 1: clay some people on the left are finally realizing, you know, 96 00:06:39,480 --> 00:06:45,640 Speaker 1: even irrespective of whether there's any truth, veracity, any reality 97 00:06:45,720 --> 00:06:49,800 Speaker 1: behind some of these different frameworks for an analyzing race 98 00:06:49,839 --> 00:06:54,799 Speaker 1: in America, if they stay with this. CRT is either 99 00:06:54,880 --> 00:06:58,320 Speaker 1: a fiction or parents who don't like it are bad. 100 00:06:58,640 --> 00:07:02,240 Speaker 1: They're going to get annihilated in the midterm election. And 101 00:07:02,279 --> 00:07:04,839 Speaker 1: I think Bill Maher, we brought him up several times 102 00:07:04,880 --> 00:07:08,599 Speaker 1: again definitely a liberal, but does have You can have 103 00:07:08,720 --> 00:07:11,800 Speaker 1: a rational discussion with him. I've done it before on 104 00:07:12,000 --> 00:07:15,240 Speaker 1: certain topics, and he even admits that on this issue 105 00:07:15,280 --> 00:07:20,239 Speaker 1: of essentially anti white racism, yes, which the left says 106 00:07:20,280 --> 00:07:21,960 Speaker 1: does not exist. By the way, it's impossible to be 107 00:07:22,040 --> 00:07:25,480 Speaker 1: racist against white people, They're wrong. Bill Marclay says, this 108 00:07:25,560 --> 00:07:27,600 Speaker 1: is a big problem. We learned about the Civil War. 109 00:07:27,760 --> 00:07:31,720 Speaker 1: I mean they mentioned racism, We understood slavery and Lincoln 110 00:07:31,720 --> 00:07:34,840 Speaker 1: and blah blah blah, but they didn't really go into 111 00:07:34,880 --> 00:07:37,760 Speaker 1: it any more than gone with the wind goes into it. 112 00:07:37,760 --> 00:07:40,920 Speaker 1: It was there, but you didn't feel it viscerally. Now 113 00:07:40,960 --> 00:07:42,840 Speaker 1: we're doing that, and I think that's a good thing. 114 00:07:42,920 --> 00:07:47,400 Speaker 1: People should understand that that's different than teaching that racism 115 00:07:47,480 --> 00:07:50,720 Speaker 1: is the essence of America. That's what people get upset about, 116 00:07:51,080 --> 00:07:54,160 Speaker 1: or involving children who are probably not old enough or 117 00:07:54,240 --> 00:07:58,680 Speaker 1: sophisticated enough to understand this very complicated issue. Kids are 118 00:07:58,720 --> 00:08:03,920 Speaker 1: taught and some time separated into groups oppressor and oppressed. Again, 119 00:08:04,080 --> 00:08:07,280 Speaker 1: does a kid even know what those words mean? I 120 00:08:07,320 --> 00:08:09,120 Speaker 1: think this is so well said by Bill Maher and 121 00:08:09,520 --> 00:08:11,560 Speaker 1: what we should say. Also, while we played the clip 122 00:08:11,640 --> 00:08:16,800 Speaker 1: of Joy Reid, some of the foremost proponents of anti 123 00:08:16,880 --> 00:08:21,080 Speaker 1: white racism are white. There is a in fact, that's 124 00:08:21,120 --> 00:08:26,400 Speaker 1: the primary cadre of woke liberals. It's typically not black, Hispanic, 125 00:08:26,520 --> 00:08:31,160 Speaker 1: or Asian people that are embracing anti white tropes as 126 00:08:31,320 --> 00:08:35,439 Speaker 1: much as it is the woke your Brooklyn brethren in 127 00:08:35,800 --> 00:08:37,920 Speaker 1: New York City. You can kind of look at them 128 00:08:38,080 --> 00:08:40,560 Speaker 1: and feel like, Okay, this is the kind of person 129 00:08:40,800 --> 00:08:43,480 Speaker 1: who is going to come out and say white people 130 00:08:43,559 --> 00:08:47,080 Speaker 1: are awful. The number of white people that run around 131 00:08:47,280 --> 00:08:50,839 Speaker 1: on social media talking about how awful white people are 132 00:08:51,200 --> 00:08:55,800 Speaker 1: and propagating modern day racism, that's the legion that I 133 00:08:55,840 --> 00:08:58,720 Speaker 1: see Buck. I mean, those are the people that are 134 00:08:58,920 --> 00:09:04,400 Speaker 1: desperate sort of advance this woke ideology. Is people who 135 00:09:04,480 --> 00:09:08,400 Speaker 1: are driving the Democratic Party. Like I said right off 136 00:09:08,400 --> 00:09:10,560 Speaker 1: the cliff, most of them are not black women like 137 00:09:10,679 --> 00:09:13,280 Speaker 1: Joy read. Most of them are white men and women 138 00:09:13,600 --> 00:09:18,480 Speaker 1: of extremely liberal bent who have convinced themselves that America 139 00:09:18,600 --> 00:09:23,200 Speaker 1: is a fundamentally awful place. And they define America entirely 140 00:09:23,200 --> 00:09:25,280 Speaker 1: based on slavery. And this is important too in a 141 00:09:25,360 --> 00:09:30,480 Speaker 1: larger context book, slavery existed everywhere. We have this idea 142 00:09:30,600 --> 00:09:36,000 Speaker 1: in America that uniquely America was a proponent of slavery 143 00:09:36,120 --> 00:09:39,679 Speaker 1: and almost nowhere else in the world had slavery. It's 144 00:09:39,720 --> 00:09:43,760 Speaker 1: a flagrant misunderstanding of world history. Look, slavery is a 145 00:09:44,320 --> 00:09:49,839 Speaker 1: stain and a sin on American history, but in America 146 00:09:49,920 --> 00:09:53,360 Speaker 1: that I think this is significant. Slavery was only legal 147 00:09:53,840 --> 00:09:57,760 Speaker 1: for eighty years, from seventeen eighty three when we gained 148 00:09:57,760 --> 00:10:02,640 Speaker 1: our independence to eighteen sixty when Lincoln signed the Emancipation Proclamation. 149 00:10:03,360 --> 00:10:06,440 Speaker 1: This country had legal slavery for eighty years pre that 150 00:10:07,040 --> 00:10:10,560 Speaker 1: you should be angry at England, which allowed slavery in 151 00:10:10,600 --> 00:10:14,000 Speaker 1: the colonies when we had no actual independence. And you 152 00:10:14,000 --> 00:10:16,240 Speaker 1: can argue, well, we didn't have the full fruition of 153 00:10:16,280 --> 00:10:20,080 Speaker 1: equality in eighteen sixty three when the Emancipation Proclamation happened. 154 00:10:20,320 --> 00:10:22,760 Speaker 1: But for the vast majority of kids that are in 155 00:10:22,800 --> 00:10:26,640 Speaker 1: school today, the idea that they're responsible for something that 156 00:10:26,679 --> 00:10:30,360 Speaker 1: happened one hundred and fifty years ago is fundamentally to 157 00:10:30,480 --> 00:10:35,679 Speaker 1: me barbaric and insane? Yeah, what are we actually supposed 158 00:10:35,800 --> 00:10:40,960 Speaker 1: to do based upon this framework of whether it's critical 159 00:10:41,040 --> 00:10:45,480 Speaker 1: race theory or the essentially the rhetoric coming out of 160 00:10:45,480 --> 00:10:49,400 Speaker 1: the left today, which is that white supremacy is infused 161 00:10:49,600 --> 00:10:53,640 Speaker 1: in everything about America. It's infused in capitalism and free markets, 162 00:10:53,640 --> 00:10:57,320 Speaker 1: in the constitution, our government. If everything around us is racist, well, 163 00:10:57,320 --> 00:10:59,560 Speaker 1: then what exactly are we supposed to do? The only 164 00:10:59,600 --> 00:11:02,520 Speaker 1: answer to that, the only real answer to that, is 165 00:11:02,559 --> 00:11:06,440 Speaker 1: to submit to and obey and give power to whomever 166 00:11:06,600 --> 00:11:09,800 Speaker 1: is making that argument. The whole purpose of this is 167 00:11:09,960 --> 00:11:13,720 Speaker 1: essentially to deconstruct. It's about power. It's about to deconstruct 168 00:11:13,960 --> 00:11:17,280 Speaker 1: America as we know, the society all around us, and 169 00:11:17,320 --> 00:11:20,720 Speaker 1: allow the people that are pushing this movement to reconstruct 170 00:11:20,760 --> 00:11:23,280 Speaker 1: it in whatever way they see fit. It's essentially and 171 00:11:23,280 --> 00:11:25,880 Speaker 1: this is why I do think the term racial Marxism 172 00:11:26,559 --> 00:11:30,320 Speaker 1: is very apt here, because they do view this as 173 00:11:30,720 --> 00:11:35,160 Speaker 1: a beachhead of sorts into creating an internal revolution, certainly 174 00:11:35,200 --> 00:11:38,760 Speaker 1: a cultural and political revolution from within America to undo 175 00:11:38,920 --> 00:11:42,319 Speaker 1: so much of what has been built and kept this 176 00:11:42,440 --> 00:11:45,400 Speaker 1: country together for a very long time and create a 177 00:11:45,480 --> 00:11:49,240 Speaker 1: new image of America that is rooted in intersectionality and 178 00:11:49,400 --> 00:11:52,360 Speaker 1: essentially oppression studies. And as you point out, lay if 179 00:11:52,360 --> 00:11:55,000 Speaker 1: you actually know the history, if one knows the history, 180 00:11:55,000 --> 00:11:57,520 Speaker 1: they would know that there was a massive slave trade 181 00:11:57,559 --> 00:12:01,040 Speaker 1: in the Mediterranean of white Christians by the Muslim slave traders. 182 00:12:01,040 --> 00:12:04,599 Speaker 1: There were African tribes enslaving other African tribes, the Aztecs 183 00:12:04,679 --> 00:12:06,960 Speaker 1: enslaving all the tribes around them. Here in the Americas, 184 00:12:07,000 --> 00:12:10,880 Speaker 1: we can go on for all thousands of years, the 185 00:12:10,960 --> 00:12:13,640 Speaker 1: Jews in Egypt, I mean, you know the Bible, we 186 00:12:13,920 --> 00:12:16,200 Speaker 1: go back all over the place. What does that have 187 00:12:16,320 --> 00:12:19,640 Speaker 1: to do with how he can make schools better today 188 00:12:19,640 --> 00:12:22,320 Speaker 1: for everyone's kids by adopting school choice, right, what does 189 00:12:22,360 --> 00:12:25,120 Speaker 1: that have to do with the principle that we're all 190 00:12:25,160 --> 00:12:27,320 Speaker 1: equal in the eyes of God and in the eyes 191 00:12:27,360 --> 00:12:29,640 Speaker 1: of a law in this country as individuals, as human beings, 192 00:12:29,679 --> 00:12:33,200 Speaker 1: irrespective of skin color. They are pushing constantly the critical 193 00:12:33,280 --> 00:12:36,959 Speaker 1: race theorists a different approach. And by the way they 194 00:12:37,080 --> 00:12:41,040 Speaker 1: keep doing this, it's not CRT whatever. This version of 195 00:12:41,080 --> 00:12:44,040 Speaker 1: America as a white supremacist state, which is the narrative 196 00:12:44,120 --> 00:12:48,400 Speaker 1: from the left now, is so destructive and it's also 197 00:12:48,600 --> 00:12:51,400 Speaker 1: going counter to the best things about this country, which 198 00:12:51,840 --> 00:12:55,320 Speaker 1: are rooted in individual equality, in the law and in 199 00:12:55,360 --> 00:12:58,560 Speaker 1: the eyes of God, meritocracy, the best man or woman wins. 200 00:12:58,679 --> 00:13:02,840 Speaker 1: They're creating the Supreme Court has referred to, at least 201 00:13:02,840 --> 00:13:05,720 Speaker 1: I believe it was in a descent by Alito, the 202 00:13:05,880 --> 00:13:09,520 Speaker 1: racial entitlement state. And who gets to make the determinations. 203 00:13:09,559 --> 00:13:13,240 Speaker 1: This is where the Marxist revolutionary comes into play. Who 204 00:13:13,280 --> 00:13:16,280 Speaker 1: makes the determinations about what's fair, what's right? Who gets what? 205 00:13:16,280 --> 00:13:20,560 Speaker 1: Where do Asians fit into the hierarchy? The lgbt too successful? Yeah, 206 00:13:20,640 --> 00:13:25,079 Speaker 1: does the LGBTQ community. Are they to be put in 207 00:13:25,160 --> 00:13:29,200 Speaker 1: a place of greater hierarchy in the oppression studies than 208 00:13:29,559 --> 00:13:31,440 Speaker 1: the black community? Or how do we how do we 209 00:13:31,440 --> 00:13:34,360 Speaker 1: figure that out? If your trans if it's dizzy ing 210 00:13:34,720 --> 00:13:38,440 Speaker 1: and it's incoherent, it's just meant to frighten people. It's 211 00:13:38,600 --> 00:13:43,640 Speaker 1: moral blackmail against America by people who are either ruthless 212 00:13:43,760 --> 00:13:46,400 Speaker 1: in their pursuit of power or idiots or both, actually 213 00:13:46,400 --> 00:13:48,480 Speaker 1: a lot of both. And I also think a lot 214 00:13:48,480 --> 00:13:51,119 Speaker 1: of it's coming from China. You know, they're taking advantage 215 00:13:51,120 --> 00:13:54,679 Speaker 1: of our social media openness and our enemies in the 216 00:13:54,720 --> 00:13:58,200 Speaker 1: world recognize that the way to destroy America is not 217 00:13:58,320 --> 00:14:02,640 Speaker 1: to attack externally. It's to get us so riled up 218 00:14:03,000 --> 00:14:06,560 Speaker 1: divided based on our diversity in this country that we're 219 00:14:06,640 --> 00:14:10,240 Speaker 1: throwing punches at each other in the country instead of 220 00:14:10,280 --> 00:14:12,600 Speaker 1: recognizing that we're getting punched in the back of the 221 00:14:12,600 --> 00:14:15,280 Speaker 1: head every damn day by China. KGB was doing this 222 00:14:15,360 --> 00:14:18,560 Speaker 1: in this country with direct operations against us, trying to 223 00:14:18,600 --> 00:14:20,920 Speaker 1: pull out our seams. And you know, they don't teach 224 00:14:20,920 --> 00:14:22,400 Speaker 1: that in the schools though. They don't teach about the 225 00:14:22,400 --> 00:14:24,800 Speaker 1: communist penetrations of this country either. Well, we'll do some 226 00:14:24,880 --> 00:14:27,440 Speaker 1: of that on this show. We love our pets on 227 00:14:27,440 --> 00:14:29,600 Speaker 1: this program. They're a part of our families. It's why 228 00:14:29,600 --> 00:14:31,080 Speaker 1: we want to make sure they're healthy and live a 229 00:14:31,120 --> 00:14:34,800 Speaker 1: long time. You gotta add some stuff into their dog food, though, 230 00:14:34,800 --> 00:14:39,000 Speaker 1: because dry kibble sits on shipping crates or warehouses for 231 00:14:39,240 --> 00:14:42,240 Speaker 1: gears sometimes and so the manufacturers have to use a 232 00:14:42,280 --> 00:14:46,360 Speaker 1: sterilization process. Well that's not good because in that food 233 00:14:46,440 --> 00:14:50,320 Speaker 1: you would normally have things like enzymes, probiotics, vitamins, omega oils. 234 00:14:50,800 --> 00:14:55,000 Speaker 1: Rough Greens adds that back into your dogs kibble. It's 235 00:14:55,000 --> 00:14:57,480 Speaker 1: a healthy supplement you put into your dog's food with 236 00:14:57,600 --> 00:15:00,880 Speaker 1: all the live nutrients necessary for superior your dog health. 237 00:15:01,160 --> 00:15:04,120 Speaker 1: Rough Greens is a one hundred percent vegan additive with 238 00:15:04,240 --> 00:15:07,680 Speaker 1: no GMOs, antibiotics, hormones, or filler. So you just add 239 00:15:07,760 --> 00:15:10,280 Speaker 1: this in and rough Greens will make your dog healthier 240 00:15:10,320 --> 00:15:12,640 Speaker 1: by making your dogs food better. The folks at rough 241 00:15:12,680 --> 00:15:14,920 Speaker 1: Greens are so confident your dog is gonna love it. 242 00:15:15,160 --> 00:15:17,360 Speaker 1: They've got a great way to get started. Go to 243 00:15:17,480 --> 00:15:22,000 Speaker 1: Roughgreens dot com. That's ruff Roughgreens dot com slash eib 244 00:15:22,480 --> 00:15:24,480 Speaker 1: and they're gonna give you the first bag free. All 245 00:15:24,520 --> 00:15:28,840 Speaker 1: you pay is shipping. That's rough Greens dot com slash eib. 246 00:15:29,200 --> 00:15:36,640 Speaker 1: Roughgreens dot com slash eib. So the Clay Travis nd 247 00:15:36,680 --> 00:15:40,040 Speaker 1: Buck Sexton Show Everybody eight hundred two two two eight 248 00:15:40,080 --> 00:15:45,240 Speaker 1: eight two let's get some calls going here. We have 249 00:15:45,480 --> 00:15:50,680 Speaker 1: Alexis in Texas. What's going on? Alexis? Hi, sir? How 250 00:15:50,720 --> 00:15:52,200 Speaker 1: are you doing? So? I just wanted to cover on 251 00:15:52,240 --> 00:15:56,000 Speaker 1: and talk about Governor Ronison says possibly being a running 252 00:15:56,040 --> 00:15:59,560 Speaker 1: maker President Trump. I have mixed films about it. Most 253 00:15:59,560 --> 00:16:02,280 Speaker 1: definitely President Trump was to run today, I would vote 254 00:16:02,280 --> 00:16:03,760 Speaker 1: for him if he was to run. In twenty twenty 255 00:16:03,760 --> 00:16:07,320 Speaker 1: four with Rondas sens as his VP. I would definitely run, 256 00:16:07,760 --> 00:16:11,600 Speaker 1: go for it. But I just feel like, right now, 257 00:16:11,640 --> 00:16:14,680 Speaker 1: we're all seeing how corrupt our federal government is. We're 258 00:16:14,680 --> 00:16:19,720 Speaker 1: all seeing how corrupt the establishment the system is. So 259 00:16:19,760 --> 00:16:21,760 Speaker 1: I feel like, why would we throw our best governor 260 00:16:22,760 --> 00:16:24,920 Speaker 1: to the wolves where we can just stay in Florida 261 00:16:24,960 --> 00:16:27,640 Speaker 1: for as long as he can and protect those that 262 00:16:27,680 --> 00:16:31,760 Speaker 1: are running there. Because at some point, sir, we're telling 263 00:16:31,800 --> 00:16:34,480 Speaker 1: everybody to move out these cities, moving book, go where 264 00:16:34,480 --> 00:16:36,840 Speaker 1: you're you know you're valued, and where your values are. 265 00:16:37,400 --> 00:16:40,880 Speaker 1: So why would we take our best governor and send 266 00:16:40,920 --> 00:16:43,440 Speaker 1: him somewhere where it's good? Because a good question. And Alexis, 267 00:16:43,480 --> 00:16:46,240 Speaker 1: I appreciate how polite she is. You can call me Buck, Alexis, 268 00:16:47,000 --> 00:16:48,520 Speaker 1: it's very nice. Thank you for the call. I mean, 269 00:16:48,880 --> 00:16:51,240 Speaker 1: I understand. I was talking to a couple of my 270 00:16:51,280 --> 00:16:55,040 Speaker 1: buddies who live in Florida now, and they made that 271 00:16:55,080 --> 00:16:58,560 Speaker 1: same argument. They said, look, if he's not going to 272 00:16:58,640 --> 00:17:03,360 Speaker 1: be president, I would rather have him in Florida from 273 00:17:03,400 --> 00:17:07,000 Speaker 1: twenty twenty two to twenty twenty six fighting all the 274 00:17:07,080 --> 00:17:10,160 Speaker 1: battles that matter in the state of Florida. And that's 275 00:17:10,160 --> 00:17:12,520 Speaker 1: as high of an endorsement as you can get for 276 00:17:12,560 --> 00:17:15,800 Speaker 1: a governor to be that popular that people who live 277 00:17:15,840 --> 00:17:19,359 Speaker 1: in the state don't want to lose him the presidency. 278 00:17:19,440 --> 00:17:21,679 Speaker 1: I think there's a lot to that, because that's an 279 00:17:21,680 --> 00:17:26,080 Speaker 1: excellent point from Alexis. And also you see how California 280 00:17:26,160 --> 00:17:33,639 Speaker 1: has really become the distillation of leftist Liberal Democratic Party 281 00:17:33,800 --> 00:17:36,200 Speaker 1: rule in America. I mean, New York is pretty bad too, 282 00:17:36,240 --> 00:17:38,879 Speaker 1: but California more than any other players. It's of course, 283 00:17:38,920 --> 00:17:41,159 Speaker 1: it's funny because New York I do a show. I mean, 284 00:17:41,240 --> 00:17:42,960 Speaker 1: I'm sitting here, Clay, We're doing this show. I'm in 285 00:17:43,000 --> 00:17:45,560 Speaker 1: New York City. There's over a million Republicans here, right, 286 00:17:45,600 --> 00:17:47,560 Speaker 1: so you've got a lot of Republicans around me, but 287 00:17:47,560 --> 00:17:50,120 Speaker 1: of course we're greatly outnumbered. Same thing. We've got big 288 00:17:50,160 --> 00:17:53,639 Speaker 1: audiences in places like Los Angeles and San Diego and 289 00:17:54,000 --> 00:17:56,400 Speaker 1: on the stations there, but they're surrounded by lips too. 290 00:17:56,400 --> 00:17:59,359 Speaker 1: But California has become the distillation I think that's a 291 00:17:59,359 --> 00:18:02,400 Speaker 1: good way of putting it, or the epitome, if you will, 292 00:18:02,440 --> 00:18:10,560 Speaker 1: of leftist rule. Florida continuing to be a place of freedom, prosperity, success, 293 00:18:10,600 --> 00:18:13,000 Speaker 1: and people voting with their feet to go there. And 294 00:18:13,040 --> 00:18:15,240 Speaker 1: it's not a super red state, you know. I think 295 00:18:15,280 --> 00:18:18,640 Speaker 1: that's it's not the Dakotas, It's not you know, Utah. 296 00:18:19,480 --> 00:18:23,320 Speaker 1: Florida showing that if you just leave the Republicans in charge, 297 00:18:23,840 --> 00:18:26,440 Speaker 1: great things can happen for your state is a very 298 00:18:26,520 --> 00:18:29,640 Speaker 1: powerful political message. Here's a good question for you, tu Buck. 299 00:18:30,280 --> 00:18:34,680 Speaker 1: Florida is, like you said, a very fifty fifty ish state, 300 00:18:34,720 --> 00:18:37,160 Speaker 1: although it seems to be moving. As Rohan de scientists 301 00:18:37,240 --> 00:18:39,080 Speaker 1: told us the last time he came on, they're now 302 00:18:39,160 --> 00:18:43,520 Speaker 1: more Republicans registered in Florida. It's never happened before. There's 303 00:18:43,560 --> 00:18:48,160 Speaker 1: always been more Democrats. But if you look at California, 304 00:18:48,359 --> 00:18:56,120 Speaker 1: the full fruition of Democratic ideals leads to disaster. Has 305 00:18:56,160 --> 00:19:01,560 Speaker 1: there ever been a state that embodied full on Republican 306 00:19:01,680 --> 00:19:05,840 Speaker 1: politics that has ended in disaster? I mean, it's kind 307 00:19:05,840 --> 00:19:08,879 Speaker 1: of interesting to think about, right. It's an interesting test because, 308 00:19:08,920 --> 00:19:11,919 Speaker 1: as you mentioned, there's the Utah's, there's the Dakotas. You know, 309 00:19:11,960 --> 00:19:16,000 Speaker 1: states that you know are going to go red. There's 310 00:19:16,080 --> 00:19:20,720 Speaker 1: no equivalent of California where people can't even feel comfortable 311 00:19:21,080 --> 00:19:23,640 Speaker 1: like leaving their cars parked on the road because they're 312 00:19:23,640 --> 00:19:26,280 Speaker 1: going to get broken into or where Walgreens is shutting 313 00:19:26,280 --> 00:19:28,880 Speaker 1: down because you can't even stay open. This has been 314 00:19:28,960 --> 00:19:33,320 Speaker 1: a really almost a parlor game or conversation for conservatives 315 00:19:33,640 --> 00:19:35,600 Speaker 1: for a long time now, where they say, can we 316 00:19:35,640 --> 00:19:38,639 Speaker 1: just I've spoken to many people that folks listening would know, 317 00:19:39,280 --> 00:19:42,760 Speaker 1: people in media, conservatives, people in politics on the right, 318 00:19:43,119 --> 00:19:46,640 Speaker 1: We say, can we just flip one city and make 319 00:19:46,680 --> 00:19:49,879 Speaker 1: it a test and make it be conservatives? You know, 320 00:19:50,040 --> 00:19:52,400 Speaker 1: even for example, where you are in Tennessee, right, Yes, 321 00:19:52,520 --> 00:19:55,119 Speaker 1: Nashville is blue? Yes, you know you look at these cities. 322 00:19:55,200 --> 00:19:58,560 Speaker 1: Dallas is blue. Yeah, what's the reddest big city? I 323 00:19:58,600 --> 00:20:03,439 Speaker 1: think it's Fort Worth is basically fifty fifty. But what 324 00:20:03,560 --> 00:20:06,760 Speaker 1: about Salt Lake? I think for Worth is bigger than 325 00:20:06,760 --> 00:20:09,200 Speaker 1: salt I actually I shouldn't say that. I made that up. 326 00:20:09,240 --> 00:20:12,480 Speaker 1: I made that up. Checked me. Our Salt Lake audience 327 00:20:12,560 --> 00:20:14,760 Speaker 1: is like, how dare you, sir? I'm thinking in the 328 00:20:14,800 --> 00:20:17,280 Speaker 1: context of you know, sports teams, right, because you have 329 00:20:17,280 --> 00:20:19,960 Speaker 1: to be a decent sized city by and large most 330 00:20:20,000 --> 00:20:21,760 Speaker 1: of them. I mean I know that somebody can be like, well, 331 00:20:21,760 --> 00:20:24,480 Speaker 1: Green Bay's not very big. Yeah, okay, for the most part, 332 00:20:24,960 --> 00:20:27,840 Speaker 1: professional sports cities have to be pretty big. I'm trying 333 00:20:27,880 --> 00:20:30,600 Speaker 1: to think you can tweet us at Buck Sexton, at 334 00:20:30,640 --> 00:20:32,800 Speaker 1: Clay Travis. I know, for Worth is much bigger. For 335 00:20:32,960 --> 00:20:36,320 Speaker 1: Worth is eight hundred thousand, and Salt Lake City is 336 00:20:36,320 --> 00:20:41,119 Speaker 1: like one hundred and fifty thousand, so very very different. 337 00:20:41,600 --> 00:20:44,720 Speaker 1: For Worth is much much bigger. Two hundred thousand is 338 00:20:44,720 --> 00:20:46,200 Speaker 1: what I see here for salt Lake. For Worth is 339 00:20:46,200 --> 00:20:48,040 Speaker 1: eight hundred and on. This is one of those things 340 00:20:48,040 --> 00:20:52,760 Speaker 1: where you get complicated, right like, because some places define themselves, like, 341 00:20:53,119 --> 00:20:56,680 Speaker 1: for instance, Jacksonville. We have a lot of listeners in Jacksonville. 342 00:20:56,840 --> 00:20:59,920 Speaker 1: The city of Jacksonville never ends. Buck, you can draw 343 00:21:00,160 --> 00:21:03,400 Speaker 1: for like four hours and you're still in Jacksonville. Sub 344 00:21:03,440 --> 00:21:06,160 Speaker 1: cities are tiny, right Like. I just check this out 345 00:21:06,160 --> 00:21:08,040 Speaker 1: too in fact checking. You're totally right, by the way, 346 00:21:08,040 --> 00:21:10,320 Speaker 1: if you wouldn't expand to the suburbs. Yes, you know, 347 00:21:10,440 --> 00:21:13,479 Speaker 1: in counties people all a lot of the freedom lovers 348 00:21:13,480 --> 00:21:16,280 Speaker 1: in Houston, for example, live you know, thirty or forty 349 00:21:16,280 --> 00:21:18,359 Speaker 1: minutes from downtown Houston from what I understand, not that 350 00:21:18,400 --> 00:21:19,919 Speaker 1: there's really a downtown, but you know what I mean, 351 00:21:19,960 --> 00:21:23,440 Speaker 1: from the center. The center point um Salt Lake City 352 00:21:23,640 --> 00:21:25,760 Speaker 1: fifty according to what I see here on the on 353 00:21:25,800 --> 00:21:29,520 Speaker 1: the interwebs. Fifty three percent of Salt Lake City residents 354 00:21:29,600 --> 00:21:32,359 Speaker 1: voted Democrat in the last election. So there's another one, 355 00:21:32,440 --> 00:21:35,760 Speaker 1: think about right, another almost no red city. Yeah, we 356 00:21:35,960 --> 00:21:38,119 Speaker 1: I mean that's so we could call it the Conservative 357 00:21:38,119 --> 00:21:40,240 Speaker 1: City Project. It's a dream we've had for a long time. 358 00:21:40,280 --> 00:21:42,639 Speaker 1: You sort of run one city where we have, you know, 359 00:21:42,960 --> 00:21:46,679 Speaker 1: clean streets, low taxes, back the blue like. I don't know, 360 00:21:46,680 --> 00:21:48,880 Speaker 1: it'd be fun. I'd love to know what the closest 361 00:21:48,880 --> 00:21:51,840 Speaker 1: city to that is. Play. We won't tell us what's 362 00:21:51,880 --> 00:21:53,239 Speaker 1: going on in from mot by the way we come 363 00:21:53,280 --> 00:21:57,560 Speaker 1: back because the numbers are concerning from a COVID perspective. 364 00:21:57,560 --> 00:21:59,439 Speaker 1: We'll get into that. Plus, we're watching for the written 365 00:21:59,440 --> 00:22:07,080 Speaker 1: House Verdon. We'll stay with it. Stay with us. You're 366 00:22:07,200 --> 00:22:10,960 Speaker 1: listening to Clay Travis and Buck Sexton on the EIB 367 00:22:11,359 --> 00:22:30,119 Speaker 1: Network Welcome Back in Thursday edition Clay Travis Buck Sexton Show. 368 00:22:30,240 --> 00:22:33,879 Speaker 1: I hope all of you are having a fantastic start 369 00:22:33,920 --> 00:22:35,960 Speaker 1: to your day, middle part of your day, wherever you 370 00:22:35,960 --> 00:22:38,359 Speaker 1: may be across this great country or this great land. 371 00:22:38,600 --> 00:22:43,800 Speaker 1: I am down in Miami doing the show on news 372 00:22:44,000 --> 00:22:49,320 Speaker 1: Radio six ten. WIOD appreciate Grace Blazer and her crew 373 00:22:49,440 --> 00:22:53,560 Speaker 1: taken care of us down here. So many fantastic affiliates Buck. 374 00:22:53,560 --> 00:22:55,679 Speaker 1: One of the cool things about doing the show, you 375 00:22:55,760 --> 00:22:58,560 Speaker 1: and I are on the road quite a bit, getting 376 00:22:58,560 --> 00:23:04,000 Speaker 1: to see all the different communities and experience their vibe 377 00:23:04,080 --> 00:23:08,919 Speaker 1: and the and their interesting nature, and just getting to 378 00:23:09,000 --> 00:23:12,520 Speaker 1: meet so many listeners. I met so many Clay and 379 00:23:12,520 --> 00:23:17,760 Speaker 1: Buck listeners last night at the Fox Nation Patriot Awards. 380 00:23:18,320 --> 00:23:22,080 Speaker 1: So many people Buck asking where you were listening to 381 00:23:22,160 --> 00:23:24,959 Speaker 1: us all over the country, but in particular because we 382 00:23:24,960 --> 00:23:28,240 Speaker 1: were in South Florida for the event, so many South 383 00:23:28,240 --> 00:23:33,240 Speaker 1: Florida people, and also so many people who were from 384 00:23:33,320 --> 00:23:38,119 Speaker 1: somewhere else and had gotten fed up and moved to Florida. 385 00:23:38,240 --> 00:23:41,640 Speaker 1: And I think the numbers when we get an official 386 00:23:41,680 --> 00:23:45,399 Speaker 1: tally of all of the different movement that took place 387 00:23:45,480 --> 00:23:48,719 Speaker 1: during COVID, the amount of people who moved to states 388 00:23:48,760 --> 00:23:54,040 Speaker 1: like Florida, Tennessee, Texas are going to be off the charts. 389 00:23:54,119 --> 00:23:57,600 Speaker 1: I think they're underrated right now, just anecdotally based on 390 00:23:58,119 --> 00:23:59,840 Speaker 1: some of the people that I am meeting on a 391 00:24:00,080 --> 00:24:05,240 Speaker 1: regular basis, Following several different stories out there, Rittenhouse Jury 392 00:24:05,880 --> 00:24:10,159 Speaker 1: continues to deliberate, try to make a determination now in 393 00:24:10,280 --> 00:24:14,240 Speaker 1: day three, we will talk about that a bit. Going forward. 394 00:24:15,200 --> 00:24:19,120 Speaker 1: We have got all sorts of different issues with COVID 395 00:24:19,240 --> 00:24:25,040 Speaker 1: cases now surging all over the Northeast, all over the Midwest. 396 00:24:25,720 --> 00:24:29,159 Speaker 1: You'll recall that during the summer we told you COVID 397 00:24:29,280 --> 00:24:33,119 Speaker 1: was seasonal in the South. Everybody was piling on the 398 00:24:33,160 --> 00:24:36,919 Speaker 1: Red States. Everybody was piling on Ron DeSantis and Greg 399 00:24:36,920 --> 00:24:39,359 Speaker 1: Abbott and all the big state governors in the South. 400 00:24:40,160 --> 00:24:43,560 Speaker 1: And now that the Blue states are surging, if you 401 00:24:43,680 --> 00:24:49,520 Speaker 1: look at the numbers honestly and an unbelievable rate, suddenly 402 00:24:50,000 --> 00:24:54,200 Speaker 1: nobody is blaming any of the governors at all, and 403 00:24:54,560 --> 00:24:59,719 Speaker 1: it's totally vanishing as a political related story at all. 404 00:25:00,000 --> 00:25:03,520 Speaker 1: You can't blame the Red states. Everybody runs in the 405 00:25:03,560 --> 00:25:06,840 Speaker 1: opposite direction. But what's going on right now, Michigan COVID 406 00:25:06,960 --> 00:25:11,720 Speaker 1: cases up eighty three percent, Blue state governor, Minnesota COVID 407 00:25:11,760 --> 00:25:15,600 Speaker 1: cases up sixty two percent, Blue state governor, New Mexico 408 00:25:16,080 --> 00:25:19,920 Speaker 1: COVID cases up forty three percent, Blue state governor New 409 00:25:19,920 --> 00:25:25,880 Speaker 1: Hampshire up seventy eight percent, Blue state governor, Wisconsin up 410 00:25:26,000 --> 00:25:31,120 Speaker 1: fifty three percent, Blue state governor, and Vermont. The six 411 00:25:31,200 --> 00:25:33,680 Speaker 1: states that are growing the fastest rate now according to 412 00:25:33,680 --> 00:25:37,720 Speaker 1: the New York Times database, blue state governor. And this 413 00:25:37,840 --> 00:25:42,080 Speaker 1: is big deal buck because Joe Biden ran his basement 414 00:25:42,200 --> 00:25:47,919 Speaker 1: campaign selling everybody the idea of I'll fix COVID, I'll 415 00:25:47,960 --> 00:25:53,200 Speaker 1: trust the science. Donald Trump isn't handling COVID, right, I will. 416 00:25:53,760 --> 00:25:59,000 Speaker 1: And as COVID isn't disappearing, Joe Biden's overall approval ratings 417 00:25:59,080 --> 00:26:02,399 Speaker 1: are tanking at a level, frankly, combined with Kamala Harris 418 00:26:02,440 --> 00:26:05,080 Speaker 1: that we've never seen before. Quinnipiac came out with a 419 00:26:05,160 --> 00:26:10,280 Speaker 1: new poll buck thirty six percent Joe Biden approval, new low, 420 00:26:10,880 --> 00:26:15,240 Speaker 1: fifty three percent disapproval. And listen to this twenty nine 421 00:26:15,400 --> 00:26:22,200 Speaker 1: percent approval from independent voters, fifty six percent of them disapproved. 422 00:26:22,280 --> 00:26:24,920 Speaker 1: This is crazy. So remember Biden was I think that's 423 00:26:24,920 --> 00:26:28,439 Speaker 1: a critical point. He was supposed to fix COVID, and 424 00:26:28,520 --> 00:26:30,960 Speaker 1: he came in with one hundred days of masking. And 425 00:26:31,000 --> 00:26:36,960 Speaker 1: remember when people were were, you know, clapping like trained seals. Yeah, amazing, 426 00:26:37,280 --> 00:26:41,080 Speaker 1: sam Ash Hunt, no joke here, I am mash Hunter. 427 00:26:41,160 --> 00:26:45,119 Speaker 1: Days away, he said, COVID with disappears, and that was 428 00:26:45,160 --> 00:26:47,639 Speaker 1: not the very Look there's what was said. And I 429 00:26:47,680 --> 00:26:49,720 Speaker 1: think this is fair across the board. There's look kind 430 00:26:49,720 --> 00:26:52,040 Speaker 1: of what was said in the first thirty to sixty 431 00:26:52,119 --> 00:26:54,439 Speaker 1: days of COVID when we were all like, oh my gosh, 432 00:26:54,440 --> 00:26:56,240 Speaker 1: and northern Italy and it was crazy, and you know, 433 00:26:56,320 --> 00:26:59,360 Speaker 1: look that's and then there's what you say, six months 434 00:26:59,480 --> 00:27:02,720 Speaker 1: a year, eighteen months into COVID, Right, these are different things, 435 00:27:02,960 --> 00:27:06,480 Speaker 1: much broader data sets, much more actual experience. Biden was 436 00:27:06,520 --> 00:27:09,320 Speaker 1: supposed to get all this under control. Here we are 437 00:27:09,400 --> 00:27:12,560 Speaker 1: now with Osho saying they're not going to implement as 438 00:27:12,600 --> 00:27:15,119 Speaker 1: it stands right now. Could change the legality of this, 439 00:27:15,400 --> 00:27:18,440 Speaker 1: but they're not going to implement the mandate. I think 440 00:27:18,440 --> 00:27:22,240 Speaker 1: there was just a yes here we go. In Forbes, 441 00:27:22,600 --> 00:27:25,520 Speaker 1: there was a study that nearly a third of healthcare 442 00:27:25,560 --> 00:27:31,160 Speaker 1: workers in US hospitals clay are still not vaccinated. Healthcare workers. 443 00:27:31,200 --> 00:27:34,560 Speaker 1: They're must be so anti science. They're not vaccinated. They 444 00:27:34,560 --> 00:27:37,000 Speaker 1: all had it, by the way, Yeah, of course they've 445 00:27:37,000 --> 00:27:39,760 Speaker 1: been exposed this. We're not tracking natural immunity the way 446 00:27:39,800 --> 00:27:43,000 Speaker 1: that we should. The CDC doesn't seem to care about 447 00:27:43,119 --> 00:27:46,280 Speaker 1: natural immunity for quite I think at this point manifestly 448 00:27:46,320 --> 00:27:50,320 Speaker 1: obvious reasons. But it's amazing that they can't even really 449 00:27:50,400 --> 00:27:53,920 Speaker 1: explain what's going on. You're starting to see the like, well, 450 00:27:54,040 --> 00:27:56,159 Speaker 1: we don't really know what's going on Vermont. You've been 451 00:27:56,160 --> 00:27:59,000 Speaker 1: bringing up vermonologue. I dug into the numbers on Vermont. 452 00:27:59,760 --> 00:28:03,160 Speaker 1: Right now they want to tell you, Oh, the narrative 453 00:28:03,320 --> 00:28:08,200 Speaker 1: is two thirds of patients in the hospital and hospitalizations 454 00:28:08,240 --> 00:28:11,120 Speaker 1: are rising. Yes, and now this is Vermont's a small state, 455 00:28:11,160 --> 00:28:13,600 Speaker 1: but it's a little bit like what was that Was 456 00:28:13,640 --> 00:28:16,399 Speaker 1: it the Princess cruise or something? There was that cruise 457 00:28:16,720 --> 00:28:18,679 Speaker 1: right where they had Yeah, it was almost like a 458 00:28:18,680 --> 00:28:21,880 Speaker 1: floating Petrie dish of how dangerous is COVID? How quick 459 00:28:21,920 --> 00:28:25,679 Speaker 1: because it spread? How Oh? Yes, Vermont, if you're looking 460 00:28:25,680 --> 00:28:29,199 Speaker 1: at a case study for vaccination, is very interesting because 461 00:28:29,560 --> 00:28:31,880 Speaker 1: it's a it's a state that has actually a low 462 00:28:32,119 --> 00:28:35,199 Speaker 1: had a low infection rate overall compared to other states, 463 00:28:35,800 --> 00:28:39,240 Speaker 1: so not a lot of natural immunity relatively speaking, but 464 00:28:39,520 --> 00:28:42,120 Speaker 1: very very high I believe, the highest in the country 465 00:28:42,400 --> 00:28:44,920 Speaker 1: per capita vaccination rate. Right, you've seen that too, right, 466 00:28:45,520 --> 00:28:49,400 Speaker 1: So what they're telling you right now is, well, two 467 00:28:49,560 --> 00:28:53,040 Speaker 1: thirds of hospitalized COVID nineteen patients in Vermont. By ways 468 00:28:53,080 --> 00:28:55,320 Speaker 1: from ABC and New York Times, you know, I'm not. 469 00:28:55,480 --> 00:28:58,600 Speaker 1: This isn't you know Buck's right wing crazy blog dot com. 470 00:28:58,680 --> 00:29:02,560 Speaker 1: So you know, media matters can stuff it. But here 471 00:29:02,560 --> 00:29:07,560 Speaker 1: you go. Two thirds of hospitalized COVID patients are unvaccinated. 472 00:29:08,000 --> 00:29:12,280 Speaker 1: That means a third of the people in the hospital 473 00:29:12,400 --> 00:29:15,400 Speaker 1: right now, let's call it thirty thirty to thirty five 474 00:29:15,440 --> 00:29:21,440 Speaker 1: percent are fully vaccinated. That is not insignificant. That is 475 00:29:21,840 --> 00:29:25,760 Speaker 1: far higher than what we were led to believe four months. Now. 476 00:29:25,800 --> 00:29:27,720 Speaker 1: I know they'll say, oh, but it's you know, it's better, 477 00:29:27,760 --> 00:29:31,200 Speaker 1: It's better. This is the mentality of Okay, if six 478 00:29:31,200 --> 00:29:34,000 Speaker 1: feet of distancing doesn't work, let's try ten. If one 479 00:29:34,040 --> 00:29:38,080 Speaker 1: mass doesn't work, let's try to There are limits to 480 00:29:38,240 --> 00:29:42,160 Speaker 1: what we should put ourselves through for limited efficacy in 481 00:29:42,280 --> 00:29:46,120 Speaker 1: battling this virus with these different measures and mitigation tools 482 00:29:46,120 --> 00:29:49,600 Speaker 1: that are out there, no doubt. And also, did you 483 00:29:49,640 --> 00:29:54,040 Speaker 1: see Fauci came out and said that the CDC is 484 00:29:54,120 --> 00:29:58,280 Speaker 1: going to have to potentially change their definition of what 485 00:29:58,440 --> 00:30:02,440 Speaker 1: fully vaccinated means to take into account the boosters, so 486 00:30:02,680 --> 00:30:06,080 Speaker 1: that people out there listening who went and got their 487 00:30:06,160 --> 00:30:09,520 Speaker 1: COVID vaccine and just said, Okay, I got my vaccine, 488 00:30:09,600 --> 00:30:14,200 Speaker 1: leave me alone. You now in some locations are not 489 00:30:14,360 --> 00:30:17,360 Speaker 1: going to classify as fully vaccinated unless you got your 490 00:30:17,440 --> 00:30:20,280 Speaker 1: vaccine and then you've also gotten your boosters. Where does 491 00:30:20,280 --> 00:30:23,280 Speaker 1: this ever end? I mean, they're going to mandate boosters. 492 00:30:23,360 --> 00:30:26,280 Speaker 1: That's going When I say they, it may not be everywhere. 493 00:30:26,280 --> 00:30:27,840 Speaker 1: It may not be possible for them to do it 494 00:30:28,280 --> 00:30:30,720 Speaker 1: through ocean the federal government. They're gonna do it in California. 495 00:30:30,720 --> 00:30:32,760 Speaker 1: They're gonna do it in New York. The definition of 496 00:30:32,840 --> 00:30:35,480 Speaker 1: fully vaccinate is going to change. And they have to 497 00:30:35,560 --> 00:30:39,320 Speaker 1: change the definition because otherwise, if people realize is there 498 00:30:39,440 --> 00:30:44,560 Speaker 1: is no other rolling vaccination campaign like this that never 499 00:30:44,600 --> 00:30:47,880 Speaker 1: ever been subjected to certainly not that's mandatory. We do 500 00:30:48,000 --> 00:30:51,680 Speaker 1: call it the flu shot because we understand why. You know, 501 00:30:52,080 --> 00:30:53,480 Speaker 1: when was the last time you got the flu clay 502 00:30:53,440 --> 00:30:55,200 Speaker 1: if you had it recently? I had it like six 503 00:30:55,320 --> 00:30:57,160 Speaker 1: years ago, and I was a great question. I was 504 00:30:57,200 --> 00:30:59,200 Speaker 1: trying to fall like ten days like I haven't had it, 505 00:30:59,240 --> 00:31:01,280 Speaker 1: I haven't had an ala. Actually, yeah, I actually had 506 00:31:01,280 --> 00:31:03,080 Speaker 1: it like six years ago. And I remember I felt 507 00:31:03,080 --> 00:31:06,400 Speaker 1: like I actually was on Fox and Friends and it 508 00:31:06,440 --> 00:31:07,880 Speaker 1: was super early in the morning. I think it was 509 00:31:07,880 --> 00:31:09,840 Speaker 1: on like six am, and I thought maybe I just 510 00:31:09,880 --> 00:31:11,760 Speaker 1: didn't get enough sleep. Maybe I was a little hung over. 511 00:31:11,760 --> 00:31:13,800 Speaker 1: We can't tell anybody that, but I'm like, I don't 512 00:31:13,840 --> 00:31:16,960 Speaker 1: feel so good. And I started right as a second, 513 00:31:16,960 --> 00:31:21,000 Speaker 1: I started dripping with sweat and like and started to shake, 514 00:31:21,440 --> 00:31:23,000 Speaker 1: and I was like, oh my gosh, I don't get 515 00:31:23,000 --> 00:31:25,680 Speaker 1: nervous about TV. I'm really sick. And I finished the 516 00:31:25,760 --> 00:31:27,760 Speaker 1: hit and had to like, I just came on me 517 00:31:27,840 --> 00:31:30,240 Speaker 1: so fast. But the point I'm making is if you 518 00:31:30,240 --> 00:31:33,040 Speaker 1: could avoid the flu every year by getting a flu shot, 519 00:31:33,080 --> 00:31:34,880 Speaker 1: trust me, you would want to do it. A lot 520 00:31:34,960 --> 00:31:38,760 Speaker 1: of people know that. You know, it's like a fifty 521 00:31:38,960 --> 00:31:42,560 Speaker 1: sixty percent shot. I mean maybe some of your seventy 522 00:31:42,720 --> 00:31:44,600 Speaker 1: and they miss and they have to guess, and there's 523 00:31:44,640 --> 00:31:48,320 Speaker 1: different strains, a different immunity. It's super complicated. And that's 524 00:31:48,360 --> 00:31:50,840 Speaker 1: the way we've organized society around this for how many 525 00:31:50,840 --> 00:31:54,000 Speaker 1: decades now, that's the only way we should be organizing 526 00:31:54,000 --> 00:31:56,880 Speaker 1: against COVID too. I agree. And by the way, as 527 00:31:56,920 --> 00:31:59,920 Speaker 1: bad as getting the flu is the when it run 528 00:32:00,280 --> 00:32:03,560 Speaker 1: through your family. When you've got kids, you have that 529 00:32:03,760 --> 00:32:06,600 Speaker 1: awful feeling where like one kid gets it and then 530 00:32:06,600 --> 00:32:08,440 Speaker 1: you're like, Okay, I gotta take care of this kid. 531 00:32:08,520 --> 00:32:11,240 Speaker 1: They're throwing up, they're pooping everywhere, and you're like, I'm 532 00:32:11,240 --> 00:32:13,800 Speaker 1: definitely gonna get it, but you have that hanging over 533 00:32:13,880 --> 00:32:15,760 Speaker 1: your head, and it just like it is like a 534 00:32:15,800 --> 00:32:19,360 Speaker 1: slow moving disaster through the household. Right, For every single 535 00:32:19,600 --> 00:32:21,360 Speaker 1: advertisement for why I need to get married to have 536 00:32:21,400 --> 00:32:23,760 Speaker 1: kids sued, by the way, I will tell you. I 537 00:32:23,800 --> 00:32:26,680 Speaker 1: will tell you there is nothing worse than kid gets 538 00:32:26,680 --> 00:32:29,240 Speaker 1: sick and you know you're gonna get it, and your 539 00:32:29,240 --> 00:32:31,600 Speaker 1: wife might get it and your other kids get it. 540 00:32:31,800 --> 00:32:33,480 Speaker 1: So the reason when you're asking, I was thinking in 541 00:32:33,560 --> 00:32:37,120 Speaker 1: my head, the whole family got the flu. It's probably 542 00:32:37,120 --> 00:32:39,640 Speaker 1: been about five or six years ago. But the flu 543 00:32:39,760 --> 00:32:42,960 Speaker 1: in a household is such a slow moving disaster. For 544 00:32:43,040 --> 00:32:45,880 Speaker 1: like two weeks, everybody feels like crap, and then you're 545 00:32:46,160 --> 00:32:49,120 Speaker 1: you know, somebody gets it, somebody else gets it, and 546 00:32:49,560 --> 00:32:51,800 Speaker 1: but yeah, you're right. I mean that is where we 547 00:32:51,840 --> 00:32:54,160 Speaker 1: are headed with COVID is. You're gonna have to make 548 00:32:54,200 --> 00:32:55,680 Speaker 1: a decision do you get the flu shot or not. 549 00:32:55,880 --> 00:32:59,040 Speaker 1: And when you see the data in Vermont, I want 550 00:32:59,040 --> 00:33:01,520 Speaker 1: to pull it because I ain't ever giving the wrong number. Oh, 551 00:33:01,560 --> 00:33:03,760 Speaker 1: by the way, a correction, I always talked again and right, 552 00:33:03,800 --> 00:33:06,640 Speaker 1: I said Bruce Rattner wrote the op ed yesterday. I 553 00:33:06,720 --> 00:33:09,200 Speaker 1: meant Stephen Rattner was Obama's I don't even know who 554 00:33:09,200 --> 00:33:10,560 Speaker 1: Bruce rat I don't know why that name was even 555 00:33:10,560 --> 00:33:12,400 Speaker 1: in my head. Was isn't there a Ratner who's a 556 00:33:12,480 --> 00:33:15,000 Speaker 1: movie director? I was gonna say, I think Bruce Ratner, 557 00:33:15,040 --> 00:33:17,320 Speaker 1: because I was like, oh, yeah, I know that guy. 558 00:33:17,320 --> 00:33:19,600 Speaker 1: But I feel like there's a Bruce Rattner who does 559 00:33:19,720 --> 00:33:23,760 Speaker 1: is involved in like in Entertained. Neither here nor there, 560 00:33:23,760 --> 00:33:25,520 Speaker 1: just a correct things like the things right. It was 561 00:33:25,560 --> 00:33:27,760 Speaker 1: Stephen Ratner who wrote the op ed and who was 562 00:33:27,800 --> 00:33:31,120 Speaker 1: a private equity guy. Point being though over ninety percent 563 00:33:31,280 --> 00:33:35,680 Speaker 1: of senior citizens in Vermont are vaccinated, fully vaccinated, and 564 00:33:35,720 --> 00:33:38,120 Speaker 1: they're rushing to get the boosters as fast as possibly can, 565 00:33:38,200 --> 00:33:41,160 Speaker 1: over ninety eight percent there we go, thank you, fully 566 00:33:41,240 --> 00:33:44,240 Speaker 1: vaccinated sixty five and up in Vermont. And so what 567 00:33:44,400 --> 00:33:47,360 Speaker 1: this is showing us though their whole premise is well, 568 00:33:47,840 --> 00:33:50,360 Speaker 1: you have to protect them from even being exposed to 569 00:33:50,360 --> 00:33:53,760 Speaker 1: the virus as much as possible, because even if they're vaccinated, 570 00:33:53,800 --> 00:33:56,680 Speaker 1: they could still be at risk. Thirty percent of the 571 00:33:56,720 --> 00:34:00,720 Speaker 1: hospital folks, not three percent. Thirty percent does anyway? I 572 00:34:00,760 --> 00:34:01,920 Speaker 1: can I just take a step back on this for 573 00:34:01,880 --> 00:34:05,080 Speaker 1: a second. Clay, if I had told somebody three months ago, 574 00:34:05,120 --> 00:34:07,000 Speaker 1: if you had sat down with Faucie three months ago 575 00:34:07,040 --> 00:34:09,239 Speaker 1: and said, sir, what percentage of people do you think 576 00:34:09,239 --> 00:34:12,600 Speaker 1: will be hospitalized in a state like Vermont who are 577 00:34:12,719 --> 00:34:15,800 Speaker 1: vaccinated versus he would have said you ninety five percent. 578 00:34:15,960 --> 00:34:19,040 Speaker 1: Ninety eight percent will be unvaccinated in the hospital. It's 579 00:34:19,080 --> 00:34:23,359 Speaker 1: thirty percent who are unvaccinated who are actually, I'm sorry, 580 00:34:23,480 --> 00:34:24,840 Speaker 1: you know ninety eight percent of the people who are 581 00:34:24,880 --> 00:34:26,880 Speaker 1: in the hospital would have been unvaccinated. That's not the 582 00:34:26,920 --> 00:34:28,920 Speaker 1: case at all. So now we look at this and 583 00:34:28,960 --> 00:34:31,880 Speaker 1: we say, it can't stop you from getting it. It 584 00:34:31,920 --> 00:34:34,880 Speaker 1: doesn't stop you from spreading. Yes, it reduces, but we 585 00:34:34,920 --> 00:34:39,359 Speaker 1: are talking about reductions when we were promised effective control, 586 00:34:39,920 --> 00:34:42,160 Speaker 1: and that was the illusion of Fouci and the rest 587 00:34:42,160 --> 00:34:44,719 Speaker 1: of them. We could control this virus with the vaccine. 588 00:34:44,760 --> 00:34:48,239 Speaker 1: We can do some mitigation of the vaccine, of the 589 00:34:48,320 --> 00:34:52,400 Speaker 1: spread of it, and some mitigation of death and hospitalization. 590 00:34:53,000 --> 00:34:54,839 Speaker 1: But that's only if you keep the shots going as 591 00:34:54,840 --> 00:34:58,480 Speaker 1: it stands right now, for every six months. We don't know. 592 00:34:58,880 --> 00:35:00,840 Speaker 1: That's the thing. You could set an over under and 593 00:35:00,880 --> 00:35:03,200 Speaker 1: say Hey, you're gonna have to get eight shots between 594 00:35:03,280 --> 00:35:06,319 Speaker 1: now and two years from now in order to be 595 00:35:06,400 --> 00:35:09,759 Speaker 1: protected in some way against COVID. It's wild. Also, what's 596 00:35:09,800 --> 00:35:13,359 Speaker 1: wild You don't have to wait another week to get 597 00:35:13,400 --> 00:35:16,160 Speaker 1: the benefit of a great Black Friday deal. A lot 598 00:35:16,200 --> 00:35:19,160 Speaker 1: of you, you know what, eight days till Black Friday, 599 00:35:19,200 --> 00:35:21,880 Speaker 1: We're exactly one week and a catch up sneak up 600 00:35:21,920 --> 00:35:24,359 Speaker 1: on a lot of people. 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How do people get signed up? It's 611 00:35:58,400 --> 00:36:02,200 Speaker 1: so easy? And remember pure has a thirty day risk 612 00:36:02,360 --> 00:36:06,200 Speaker 1: free guarantee, so you literally have nothing to lose from 613 00:36:06,239 --> 00:36:10,000 Speaker 1: your cell phone. Dial pound two fifty and say pure Talk. 614 00:36:10,239 --> 00:36:13,160 Speaker 1: You'll say fifty percent off your first month and save 615 00:36:13,320 --> 00:36:15,719 Speaker 1: on a new phone that's from your phone right now 616 00:36:15,880 --> 00:36:20,800 Speaker 1: dial pound two five zero say Pure Talk. Some restrictions 617 00:36:20,840 --> 00:36:28,040 Speaker 1: apply call for details. Thanks for rolling along with us 618 00:36:28,080 --> 00:36:30,759 Speaker 1: here on the Clay and Buck Show. We're joined now 619 00:36:30,920 --> 00:36:35,719 Speaker 1: by Senator Ron Johnson from Wisconsin. Senator Johnson, thanks for 620 00:36:35,760 --> 00:36:40,239 Speaker 1: being here. Well, guys, hope you're doing well. Senator. You know, 621 00:36:40,280 --> 00:36:44,319 Speaker 1: the border is a total mess. It's an area of 622 00:36:44,480 --> 00:36:46,839 Speaker 1: policy that you've been focusing in on. You've been trying 623 00:36:46,880 --> 00:36:50,520 Speaker 1: to tell the American people about what's happening there. The 624 00:36:50,719 --> 00:36:53,919 Speaker 1: Vice President formerly the borders are apparently no longer, although 625 00:36:53,920 --> 00:36:56,240 Speaker 1: I don't think there's an official announcement about that. Kamala 626 00:36:56,280 --> 00:36:59,279 Speaker 1: Harris was on TV this morning talking about the border issue. 627 00:36:59,320 --> 00:37:01,560 Speaker 1: I wanted our already to hear it and let you 628 00:37:01,680 --> 00:37:04,440 Speaker 1: react to it. Well, it's not going to be overnight. 629 00:37:04,920 --> 00:37:07,240 Speaker 1: We can't just flip a switch and make it better. 630 00:37:08,080 --> 00:37:11,520 Speaker 1: The reality is that we inherit a system, an immigration 631 00:37:11,600 --> 00:37:15,279 Speaker 1: system that was deeply broken, and it's requiring us to 632 00:37:15,280 --> 00:37:17,640 Speaker 1: actually put it back together in terms of creating a 633 00:37:17,719 --> 00:37:22,040 Speaker 1: fair process that is effective and efficient, but on the 634 00:37:22,120 --> 00:37:26,320 Speaker 1: root causes piece what we're looking at is that. You know, frankly, 635 00:37:26,480 --> 00:37:29,320 Speaker 1: people don't want to leave home, George, and when they do, 636 00:37:29,880 --> 00:37:32,319 Speaker 1: it's one or two reasons. They're fleeing some kind of 637 00:37:32,360 --> 00:37:35,760 Speaker 1: harm or to stay at home. They just simply cannot 638 00:37:35,800 --> 00:37:38,920 Speaker 1: satisfy the basic needs of their family. What do you 639 00:37:38,960 --> 00:37:43,399 Speaker 1: say to that, Senator, Well, the root causes the Biden 640 00:37:43,400 --> 00:37:48,279 Speaker 1: administration President Biden, Kamala Harris, and they did flip a 641 00:37:48,280 --> 00:37:52,080 Speaker 1: switch first couple of days in office. They completely dismantled 642 00:37:52,400 --> 00:37:55,880 Speaker 1: the successful policies of the Trump administration. They ended Return 643 00:37:55,920 --> 00:37:59,560 Speaker 1: to Mexico policy, They ended the agreements we had with 644 00:37:59,600 --> 00:38:02,160 Speaker 1: the mex SCO in Central America. They stopped building the fence, 645 00:38:02,400 --> 00:38:05,560 Speaker 1: but we'd pretty well stopped the flow of uncompanied children 646 00:38:05,600 --> 00:38:09,080 Speaker 1: and families exploiting our asylum laws. And we were going 647 00:38:09,160 --> 00:38:12,360 Speaker 1: to complete defense, and we were very close to having 648 00:38:13,360 --> 00:38:15,600 Speaker 1: pretty good control over the border. And they blew it 649 00:38:15,640 --> 00:38:18,360 Speaker 1: all up day one. They, by the way, they knew 650 00:38:18,480 --> 00:38:21,560 Speaker 1: what would happen. Kamal Harris was on my committee when 651 00:38:21,560 --> 00:38:25,400 Speaker 1: I held over thirty some hearings on the border security 652 00:38:25,400 --> 00:38:29,680 Speaker 1: and some aspects of the immigration system. We have the 653 00:38:29,719 --> 00:38:32,359 Speaker 1: broken immigration system that she should just come in and 654 00:38:32,400 --> 00:38:35,880 Speaker 1: just ask nasty questions. That's when she accused Ice of 655 00:38:35,960 --> 00:38:39,680 Speaker 1: basically being a like the Ku Klux Klan. So I 656 00:38:39,719 --> 00:38:42,800 Speaker 1: mean she she sat and hearings when we were getting 657 00:38:42,800 --> 00:38:45,520 Speaker 1: testimonies that they were selling children for eighty one dollars. 658 00:38:45,520 --> 00:38:49,840 Speaker 1: She understands the human depredations of human trafficking, the sex trafficking, 659 00:38:49,920 --> 00:38:52,480 Speaker 1: the flow of deadly drugs. Now we have one hundred 660 00:38:52,480 --> 00:38:57,560 Speaker 1: thousand overdoses last year. This administration knew full well what 661 00:38:57,600 --> 00:38:59,960 Speaker 1: the results are going to be of their disastrous power. 662 00:39:00,400 --> 00:39:03,000 Speaker 1: But I guess they just had to reverse whatever President 663 00:39:03,040 --> 00:39:06,480 Speaker 1: Trump did, so they flipped the switch. They caused this crisis. 664 00:39:06,560 --> 00:39:08,680 Speaker 1: It is true, it's going to be pretty hard to 665 00:39:08,680 --> 00:39:11,560 Speaker 1: put this genie back on the bottle. But they caused it. 666 00:39:11,640 --> 00:39:15,960 Speaker 1: They are the root cause. Senator Johnson speaking a root cause. 667 00:39:16,680 --> 00:39:19,480 Speaker 1: There is a mess right now as the jury continues 668 00:39:19,520 --> 00:39:24,839 Speaker 1: to deliberate in Kenosha, Wisconsin, MSNBC evidently caught chasing the 669 00:39:24,920 --> 00:39:29,359 Speaker 1: jurors and they've now been banned from the courthouse, got 670 00:39:29,440 --> 00:39:33,160 Speaker 1: National Guard, State Guard calling out, the governor calling out 671 00:39:33,200 --> 00:39:37,000 Speaker 1: support there. How concerned are you about this situation in 672 00:39:37,080 --> 00:39:40,040 Speaker 1: Kenosha and what might happen whenever a verdict comes down. 673 00:39:41,080 --> 00:39:43,840 Speaker 1: I'm highly concerned. Yeah, I think the governor might have 674 00:39:44,080 --> 00:39:47,440 Speaker 1: learned his lesson. I mean both he and Lieutenant governor. 675 00:39:48,160 --> 00:39:52,960 Speaker 1: In twenty twenty, when we had the riots, incited the riots, 676 00:39:53,960 --> 00:39:57,120 Speaker 1: they refused to take President Trump up and is offered 677 00:39:57,160 --> 00:39:59,600 Speaker 1: bringing more National Guard troops. They just ignored it the 678 00:39:59,640 --> 00:40:02,319 Speaker 1: inside the riots. So I guess now they're at least 679 00:40:02,360 --> 00:40:05,040 Speaker 1: having five hundred National Guard troops stand by, which is 680 00:40:05,680 --> 00:40:08,920 Speaker 1: better than nothing. But you know, from my standpoint, one 681 00:40:08,960 --> 00:40:12,160 Speaker 1: thing we have to point out is I don't think 682 00:40:12,160 --> 00:40:16,960 Speaker 1: we're overly concerned about riots if Kyle's convicted, right, We're 683 00:40:17,200 --> 00:40:21,799 Speaker 1: concerned about riots if he's found not guilty. That's right. 684 00:40:21,840 --> 00:40:25,319 Speaker 1: And the fact the matter is the violence that we 685 00:40:25,440 --> 00:40:29,560 Speaker 1: fear buying large comes from the left. Not universally so, 686 00:40:29,719 --> 00:40:32,399 Speaker 1: but by and large. That's something the mainstream media will 687 00:40:32,440 --> 00:40:34,680 Speaker 1: never admit. Let's face, they didn't. They didn't board up 688 00:40:34,680 --> 00:40:37,720 Speaker 1: storefronts the major Mesh Poulton areas prior to the November 689 00:40:37,760 --> 00:40:42,919 Speaker 1: twenty election in case Joe Biden won. Right once, once 690 00:40:42,960 --> 00:40:46,640 Speaker 1: he was declared the victor, the boarding could come down. 691 00:40:47,160 --> 00:40:49,680 Speaker 1: So let's be honest about this. You know, I condemned 692 00:40:49,760 --> 00:40:52,920 Speaker 1: January sixth. It was repugnant. It was repulsive, the violence, 693 00:40:52,920 --> 00:40:58,279 Speaker 1: the racial slurs. But that's an aberration coming from Trump supporters, 694 00:40:58,400 --> 00:41:01,920 Speaker 1: because most most Trump supporters God fearing, they love this country, 695 00:41:02,120 --> 00:41:06,640 Speaker 1: they respect law enforcement. They don't even think about breaking 696 00:41:06,640 --> 00:41:09,480 Speaker 1: the law or rioting. The rioting, by and large comes 697 00:41:09,480 --> 00:41:11,560 Speaker 1: from from the left. And we've got proof over five 698 00:41:11,640 --> 00:41:15,040 Speaker 1: hundred seventy riots in the summer, one to two billion 699 00:41:15,080 --> 00:41:17,840 Speaker 1: dollars or property damage, a couple of thousand law enforcement 700 00:41:17,840 --> 00:41:21,760 Speaker 1: officers injured during summer riots, a couple couple dozen people 701 00:41:21,920 --> 00:41:24,120 Speaker 1: died in some way, shape or form. But that's all 702 00:41:24,120 --> 00:41:27,320 Speaker 1: swept under the rug in the left, in the media, 703 00:41:27,400 --> 00:41:31,760 Speaker 1: which is the same thing they only focus on January sixth. 704 00:41:32,000 --> 00:41:35,360 Speaker 1: We need to be honest and realistic about where the 705 00:41:35,440 --> 00:41:37,600 Speaker 1: real threat of violence is coming from. It's coming from 706 00:41:37,600 --> 00:41:41,080 Speaker 1: the left. We're speaking of Senator Ron Johnson of Wisconsin. 707 00:41:41,239 --> 00:41:46,640 Speaker 1: Senator looks like Pelosi is promising to get the Build 708 00:41:46,719 --> 00:41:51,520 Speaker 1: Back Better Bill through the House. Side, what do you 709 00:41:51,760 --> 00:41:55,080 Speaker 1: what do you think when you're hearing the administration and 710 00:41:55,160 --> 00:41:58,960 Speaker 1: the Democrats all together making claims like this is all 711 00:41:59,040 --> 00:42:02,160 Speaker 1: paid for, there won't be any tax raises on anyone 712 00:42:02,200 --> 00:42:05,560 Speaker 1: making less than four hundred grand and it won't make 713 00:42:05,600 --> 00:42:10,160 Speaker 1: inflation worse. A general problem with liberals is they just 714 00:42:10,200 --> 00:42:13,719 Speaker 1: deny reality. You know what, what general human nature is. 715 00:42:13,760 --> 00:42:15,880 Speaker 1: You pay people not to work. Guess what they don't work. 716 00:42:16,040 --> 00:42:17,640 Speaker 1: I mean now, the fact that they're saying, well, the 717 00:42:17,640 --> 00:42:21,160 Speaker 1: way to fix inflation, which is too many dollars chasing 718 00:42:21,239 --> 00:42:26,120 Speaker 1: too few goods, is less spend more money. Let's create 719 00:42:26,239 --> 00:42:30,000 Speaker 1: more debt and death of spending. Let's mortgage their children's future. Further, 720 00:42:30,120 --> 00:42:33,160 Speaker 1: let's let's even have more dollars chasing too few goods. 721 00:42:33,400 --> 00:42:37,239 Speaker 1: They live in a fantasy world. But again I have 722 00:42:37,280 --> 00:42:40,359 Speaker 1: to point this out. The mainstream media props them up, 723 00:42:40,400 --> 00:42:43,480 Speaker 1: They cover for them, They are complicit in this. So 724 00:42:44,040 --> 00:42:47,480 Speaker 1: this mainstream media that got Joe Biden elected by covering 725 00:42:47,600 --> 00:42:50,800 Speaker 1: up you know, my and Chuck Rassley is a report 726 00:42:50,800 --> 00:42:54,000 Speaker 1: on Hunter Biden. Nothing to see there. Don't worry about 727 00:42:54,040 --> 00:42:57,520 Speaker 1: those foreign financial tangements with China and Russia and thirteen 728 00:42:57,560 --> 00:42:59,400 Speaker 1: other countries. Don't. Don't don't take you look at that. 729 00:42:59,440 --> 00:43:01,200 Speaker 1: What we're gonna We're going to make sure we elect 730 00:43:01,280 --> 00:43:05,719 Speaker 1: this moderate grandfather live like figure, and he he'll heal 731 00:43:05,760 --> 00:43:08,520 Speaker 1: and unify this nation. Nothing could be further from the truth. 732 00:43:08,560 --> 00:43:12,520 Speaker 1: He's a radical leftist and he's surrounding himself with open 733 00:43:12,640 --> 00:43:18,720 Speaker 1: border radical left socialist Marxist That's what he's doing. Senator Johnson. 734 00:43:18,840 --> 00:43:21,920 Speaker 1: I don't follow through on this very often, but I 735 00:43:21,960 --> 00:43:23,680 Speaker 1: said earlier in the week, and I don't know if 736 00:43:23,719 --> 00:43:25,520 Speaker 1: you heard it, or anybody on your staff might have 737 00:43:25,560 --> 00:43:27,719 Speaker 1: heard it. We really need for you to run for 738 00:43:27,800 --> 00:43:31,160 Speaker 1: re election in Wisconsin. You're a truth teller. I don't 739 00:43:31,160 --> 00:43:33,560 Speaker 1: know who might replace you, but I'm one hundred percent 740 00:43:33,560 --> 00:43:35,480 Speaker 1: confident they won't be as honest and as good at 741 00:43:35,480 --> 00:43:39,080 Speaker 1: their job as you are. I'm giving you my endorsement. 742 00:43:39,080 --> 00:43:40,600 Speaker 1: I don't even know if I'm supposed to do that. Obviously, 743 00:43:40,640 --> 00:43:42,759 Speaker 1: I don't live in Wisconsin, so I can't vote for you, 744 00:43:43,040 --> 00:43:47,279 Speaker 1: But will you please run for reelection? Well, listen, I 745 00:43:47,560 --> 00:43:50,359 Speaker 1: appreciate those kind words. I am going to be making 746 00:43:50,400 --> 00:43:52,839 Speaker 1: my decision the next few weeks, and I will tell 747 00:43:52,880 --> 00:43:56,960 Speaker 1: you that kind of encouragement it is impactful. I have 748 00:43:57,000 --> 00:43:59,600 Speaker 1: to admit. As I've traveled around Wisconsin, I'm getting all 749 00:43:59,680 --> 00:44:02,840 Speaker 1: kinds encouragement, and so I appreciate that we need you. 750 00:44:03,080 --> 00:44:05,080 Speaker 1: We need you because you're willing to fight, and so 751 00:44:05,200 --> 00:44:07,480 Speaker 1: few people are willing to fight, and you're willing to 752 00:44:07,520 --> 00:44:11,719 Speaker 1: fight with facts, in particular with COVID. Did you read 753 00:44:11,760 --> 00:44:14,680 Speaker 1: the Fifth Circuit opinion? Thank god they stood up and 754 00:44:14,840 --> 00:44:18,080 Speaker 1: actually stood up for the Constitution, but so few people 755 00:44:18,080 --> 00:44:19,680 Speaker 1: are willing to do that. We need you, they or 756 00:44:19,719 --> 00:44:23,480 Speaker 1: what did you think of the Fifth Circuit? Well, I 757 00:44:23,960 --> 00:44:27,879 Speaker 1: breathe a sigh of relief. I mean, these mandates are 758 00:44:27,880 --> 00:44:30,759 Speaker 1: going to be so destructive. I mean forcing people into 759 00:44:30,880 --> 00:44:35,640 Speaker 1: just gut wrenching, life altering decisions for no reason. Listen 760 00:44:35,640 --> 00:44:37,760 Speaker 1: to the vaccine where a heart cent effective and safe. 761 00:44:37,840 --> 00:44:40,719 Speaker 1: I could understand it, but they're unfortunately not. And of 762 00:44:40,719 --> 00:44:43,120 Speaker 1: course by saying that I'm going to get censored by 763 00:44:43,200 --> 00:44:46,879 Speaker 1: YouTube because I'm I'm telling the truth. Of course, guys, 764 00:44:46,920 --> 00:44:50,520 Speaker 1: if I do run, it literally be a contest between 765 00:44:50,680 --> 00:44:54,400 Speaker 1: the media, the social media, and the truth and be 766 00:44:54,440 --> 00:44:56,360 Speaker 1: a knockdown, drag out. Let's face it, they've got a 767 00:44:56,360 --> 00:44:58,920 Speaker 1: lot of power. They'll never admit they're wrong, and they 768 00:44:58,920 --> 00:45:01,839 Speaker 1: have the power to pretty well guarantee they're never proven wrong. 769 00:45:01,920 --> 00:45:04,120 Speaker 1: So I will need a lot of help and support 770 00:45:04,160 --> 00:45:07,040 Speaker 1: if I do run. Senator Ron Johnson and Wisconsin. Sir, 771 00:45:07,160 --> 00:45:09,399 Speaker 1: we always appreciate you swinging by the clan Buck Show. 772 00:45:09,400 --> 00:45:12,320 Speaker 1: Thanks for being here with us. Have a great day. 773 00:45:12,400 --> 00:45:14,480 Speaker 1: When you announced you're running, you can come back on. 774 00:45:14,640 --> 00:45:19,880 Speaker 1: We need you, sir, I hear you. It's not committing 775 00:45:19,960 --> 00:45:25,439 Speaker 1: quite yet, Missus Johnson probably gets to say this with Clay, 776 00:45:25,719 --> 00:45:27,880 Speaker 1: so I'll have to see the tun of the Towers 777 00:45:27,920 --> 00:45:31,880 Speaker 1: Foundation is making the holidays brighter for our nation's gold 778 00:45:31,960 --> 00:45:35,880 Speaker 1: star and fallen first responder families with young children. For 779 00:45:36,040 --> 00:45:38,360 Speaker 1: many of these families, the holidays are a tough reminder 780 00:45:38,400 --> 00:45:42,480 Speaker 1: of the sacrifice their hero made for us. The Foundation 781 00:45:42,600 --> 00:45:44,919 Speaker 1: is giving away one or more homes a day from 782 00:45:44,960 --> 00:45:48,440 Speaker 1: Thanksgiving through New Year's Eve during its season of Hope. 783 00:45:48,600 --> 00:45:51,279 Speaker 1: With each mortgage free home, the Foundation is delivering on 784 00:45:51,320 --> 00:45:55,000 Speaker 1: its promise to do good and never forget. For some 785 00:45:55,040 --> 00:45:57,319 Speaker 1: of these families, they have the comfort of knowing they 786 00:45:57,320 --> 00:45:59,279 Speaker 1: can stay in the home that they picked with their 787 00:45:59,320 --> 00:46:02,720 Speaker 1: loved one, the home where they made precious holiday memories. 788 00:46:03,000 --> 00:46:06,600 Speaker 1: For families in a new home, they're creating new memories 789 00:46:06,600 --> 00:46:10,320 Speaker 1: that will cherish forever. And all of this is possible 790 00:46:10,400 --> 00:46:13,239 Speaker 1: because of your generosity. You know, this show's listeners have 791 00:46:13,440 --> 00:46:17,520 Speaker 1: given over five million dollars to Tunnel to Towers. Think 792 00:46:17,560 --> 00:46:21,040 Speaker 1: about the impact that you guys have had supporting America's 793 00:46:21,120 --> 00:46:24,400 Speaker 1: greatest heroes and their families. And for those of you 794 00:46:24,440 --> 00:46:27,280 Speaker 1: who haven't signed up yet, you can donate eleven dollars 795 00:46:27,280 --> 00:46:30,080 Speaker 1: a month to Tunnel the Towers at t twot dot org. 796 00:46:30,400 --> 00:46:33,239 Speaker 1: That's t the number two t dot org