1 00:00:03,320 --> 00:00:15,360 Speaker 1: You are entering the freedom hunt. What is the great 2 00:00:15,520 --> 00:00:19,640 Speaker 1: COVID reset that's being planned? Twenty six hundred new votes 3 00:00:19,760 --> 00:00:23,480 Speaker 1: just turned up in Georgia. Joe Biden founded a fake 4 00:00:23,680 --> 00:00:29,600 Speaker 1: cancer charity, and California's plan to determine the election in Georgia. 5 00:00:30,040 --> 00:00:33,680 Speaker 1: This is the buck Sexton Show, where the mission or 6 00:00:33,760 --> 00:00:37,920 Speaker 1: mission is to decode what really matters with passionable intelligence. 7 00:00:40,080 --> 00:00:44,080 Speaker 1: Make no mistake, you're a great American. Again the buck 8 00:00:44,120 --> 00:00:52,920 Speaker 1: Sexton Show begins. He's a great guy. No, welcome, friends 9 00:00:52,960 --> 00:00:55,360 Speaker 1: to the buck Sexton Show. Thank you so much for 10 00:00:55,520 --> 00:01:00,480 Speaker 1: being here. Another busy day on the front lines freedom, 11 00:01:00,600 --> 00:01:03,640 Speaker 1: another day in which we must hold the line. I 12 00:01:03,680 --> 00:01:07,120 Speaker 1: think we're all starting to pick up on something the 13 00:01:07,280 --> 00:01:09,760 Speaker 1: warnings that people like me have been giving you for 14 00:01:09,880 --> 00:01:14,360 Speaker 1: many months now about how even after a vaccine, they're 15 00:01:14,400 --> 00:01:17,520 Speaker 1: not giving up all this emergency health authority. No, no, 16 00:01:18,000 --> 00:01:22,360 Speaker 1: quite the opposite that's now becoming apparent, even to skeptics 17 00:01:22,600 --> 00:01:27,360 Speaker 1: of those earlier warnings. We now have doctor Fauci, who 18 00:01:27,959 --> 00:01:34,240 Speaker 1: is honestly a disastrous, a disastrous statist bureaucrat, and an 19 00:01:34,240 --> 00:01:37,240 Speaker 1: imbecile on policy. I don't care how much he knows 20 00:01:37,560 --> 00:01:41,039 Speaker 1: about medicine. He's a moron when it comes to national 21 00:01:41,240 --> 00:01:45,400 Speaker 1: public health policy. He's now saying that we're probably heading 22 00:01:45,440 --> 00:01:50,040 Speaker 1: for the most severe restrictions stay at home orders, the 23 00:01:50,120 --> 00:01:53,040 Speaker 1: government telling you you cannot leave the place where you 24 00:01:53,080 --> 00:01:57,400 Speaker 1: live except under very narrowly defined circumstances. You cannot gather 25 00:01:57,520 --> 00:02:00,640 Speaker 1: with other people, you cannot go to business is other 26 00:02:00,680 --> 00:02:04,600 Speaker 1: than those necessary to feed yourself and perhaps to get 27 00:02:04,640 --> 00:02:09,160 Speaker 1: medical attention or supplies. That's what we're heading for. And 28 00:02:09,280 --> 00:02:13,320 Speaker 1: I have so many questions, like, why are we heading 29 00:02:13,320 --> 00:02:17,160 Speaker 1: for that when we've been masking up for months and 30 00:02:17,280 --> 00:02:20,120 Speaker 1: months now? Why are we heading for that with all 31 00:02:20,160 --> 00:02:23,440 Speaker 1: of our social distancing in mitigation. Oh, that's right, because 32 00:02:23,480 --> 00:02:26,440 Speaker 1: we didn't do it well enough, they tell us. It's 33 00:02:26,480 --> 00:02:32,200 Speaker 1: not that that stuff does not work. It does not 34 00:02:32,600 --> 00:02:37,200 Speaker 1: change the trajectory of the virus once it infects a community, 35 00:02:37,240 --> 00:02:39,680 Speaker 1: not over the long term. No, it can't be that. 36 00:02:39,800 --> 00:02:43,000 Speaker 1: It has to be that we aren't listening enough, you see, 37 00:02:43,000 --> 00:02:46,320 Speaker 1: that's the problem. This is a mindset that you do 38 00:02:47,200 --> 00:02:51,040 Speaker 1: often come across in countries where there is no voice 39 00:02:51,080 --> 00:02:53,400 Speaker 1: of the people in government. This is a mindset that 40 00:02:53,480 --> 00:02:56,679 Speaker 1: you will you will hear in places where the answer 41 00:02:57,560 --> 00:03:00,440 Speaker 1: from the government to why should we do that is 42 00:03:00,560 --> 00:03:05,040 Speaker 1: just a version of because I said so, that's where 43 00:03:05,040 --> 00:03:10,120 Speaker 1: we are now, because I said so, you can't open 44 00:03:10,160 --> 00:03:11,840 Speaker 1: your business. If you do, we'll find you if you're 45 00:03:11,880 --> 00:03:13,720 Speaker 1: a restaurant, will take your liquor license, or will just 46 00:03:13,720 --> 00:03:17,799 Speaker 1: shut you down entirely, will ruin you based on what 47 00:03:18,280 --> 00:03:21,799 Speaker 1: you're a health risk. Ah, Yes, a health risk, say 48 00:03:21,840 --> 00:03:26,359 Speaker 1: the people who keep breaking the very quarantine rules they 49 00:03:26,400 --> 00:03:31,400 Speaker 1: want to inflict upon the rest of us. Hypocrisy increasingly 50 00:03:31,440 --> 00:03:35,440 Speaker 1: as you are seeing, is the point. But ultimately this 51 00:03:35,560 --> 00:03:40,600 Speaker 1: is about showing everybody now that we've all been sufficiently 52 00:03:40,760 --> 00:03:44,640 Speaker 1: terrified by the media, now that they may have managed 53 00:03:44,680 --> 00:03:47,840 Speaker 1: to use this to take what should have been an 54 00:03:47,840 --> 00:03:50,960 Speaker 1: easy reelection for Donald Trump away from him. I know 55 00:03:51,040 --> 00:03:54,040 Speaker 1: the fight is still ongoing, friends, but let's be honest, 56 00:03:54,080 --> 00:03:59,960 Speaker 1: this is not looking great. They used COVID for that purpose, 57 00:04:00,000 --> 00:04:02,800 Speaker 1: but there's a much bigger purpose behind it too, the 58 00:04:02,960 --> 00:04:07,680 Speaker 1: policies around it, the mentality here, and you're starting to 59 00:04:07,720 --> 00:04:12,880 Speaker 1: see how it all comes together. Joe Biden talks about 60 00:04:13,160 --> 00:04:19,520 Speaker 1: build back better. That's the slogan, that's the phrase. Why 61 00:04:19,600 --> 00:04:23,440 Speaker 1: isn't it just returned to normal life? Isn't that what 62 00:04:23,480 --> 00:04:26,320 Speaker 1: we all want? We just want our freedoms back. We 63 00:04:26,400 --> 00:04:28,599 Speaker 1: just want the world that was taken away from us 64 00:04:29,360 --> 00:04:32,080 Speaker 1: under the guise of bureaucrats saving all of our lives. 65 00:04:32,120 --> 00:04:35,240 Speaker 1: What lives did they save here? What did they actually do? 66 00:04:35,320 --> 00:04:38,560 Speaker 1: What did they accomplish? There's no accounting for that. And 67 00:04:38,640 --> 00:04:42,039 Speaker 1: if you point out the horrific mistakes in the early 68 00:04:42,160 --> 00:04:46,000 Speaker 1: days from the public health experts, they say, everybody makes mistakes, 69 00:04:46,120 --> 00:04:49,640 Speaker 1: but listen to us now or else. They don't see 70 00:04:50,000 --> 00:04:52,680 Speaker 1: the problem with that. They don't see how that doesn't 71 00:04:52,880 --> 00:04:57,920 Speaker 1: sit well with a whole lot of us. And then 72 00:04:57,960 --> 00:05:03,760 Speaker 1: that brings me to build back better. Plan. A crisis 73 00:05:04,120 --> 00:05:08,119 Speaker 1: is an opportunity. We all know this. The Obama administration 74 00:05:08,960 --> 00:05:12,560 Speaker 1: made that clear. But in general, people who believe in 75 00:05:12,720 --> 00:05:17,800 Speaker 1: the plan, meaning that really smart folks will gather together 76 00:05:17,800 --> 00:05:22,640 Speaker 1: and make decisions for everybody else, also known as central planning, 77 00:05:22,680 --> 00:05:26,800 Speaker 1: also known as the beating heart of Marxism and socialism. 78 00:05:27,839 --> 00:05:30,080 Speaker 1: People that really believe in the plan know that the 79 00:05:30,120 --> 00:05:34,679 Speaker 1: best time to implement it is when everyone is scared, 80 00:05:35,680 --> 00:05:40,400 Speaker 1: when things have gone poorly for other reasons, or things 81 00:05:40,440 --> 00:05:43,200 Speaker 1: that are even out of the state's control. As we 82 00:05:43,240 --> 00:05:45,480 Speaker 1: see in this case, although we've made it worse with 83 00:05:45,520 --> 00:05:49,279 Speaker 1: these lockdowns. I think that's apparent at this space. Notice 84 00:05:49,279 --> 00:05:52,680 Speaker 1: that they don't even try to explain why we're having 85 00:05:52,680 --> 00:05:55,200 Speaker 1: more cases than ever before. It's spreading all over the country, 86 00:05:55,600 --> 00:05:58,200 Speaker 1: and mass compliance is that it's all time high. They 87 00:05:58,240 --> 00:06:02,320 Speaker 1: see no dissonance here, they see no problem whatsoever. They've 88 00:06:02,360 --> 00:06:07,839 Speaker 1: created a perception. Smart people wear masks. That's what they've done, right, 89 00:06:08,240 --> 00:06:11,960 Speaker 1: Like the sheep in George Orwell's animal farm. Four legs good, 90 00:06:12,040 --> 00:06:16,400 Speaker 1: two legs bad. Remember you've all read it, Wear a mask. 91 00:06:16,680 --> 00:06:19,719 Speaker 1: Cuomo yells at you. All the politicians yells, wear a mask. 92 00:06:19,800 --> 00:06:22,320 Speaker 1: Joe Biden, where's your mask? I'm wearing a mask. I 93 00:06:22,400 --> 00:06:25,960 Speaker 1: wear two masks now, Joe Biden says. And I'm not kidding. 94 00:06:26,880 --> 00:06:29,360 Speaker 1: He said it yesterday. Now, and it's not enough. The 95 00:06:29,520 --> 00:06:32,400 Speaker 1: virtue signaling thrill is not enough from a single cloth 96 00:06:32,520 --> 00:06:34,920 Speaker 1: placed across your face. You gotta double up on that 97 00:06:35,000 --> 00:06:37,320 Speaker 1: cloth to that, I say, oh yeah, Joe Biden, I'm 98 00:06:37,320 --> 00:06:40,960 Speaker 1: gonna start wearing three masks. Triple mask is where it's at. 99 00:06:43,000 --> 00:06:46,640 Speaker 1: These people are buffoons, but they're dangerous. They don't think 100 00:06:46,680 --> 00:06:49,640 Speaker 1: for themselves, but they still want to make you do 101 00:06:49,800 --> 00:06:53,200 Speaker 1: their bidding. It's all about the collective and it's all 102 00:06:53,240 --> 00:06:55,520 Speaker 1: about that plan that I was telling you about before, 103 00:06:56,360 --> 00:06:59,600 Speaker 1: and you're seeing this on a broader scale Otherwise, how 104 00:06:59,680 --> 00:07:05,479 Speaker 1: can you explain that? Now? When Boris Johnson gives a 105 00:07:05,520 --> 00:07:09,200 Speaker 1: speech the Prime Minister of the UK, build Back Better 106 00:07:09,880 --> 00:07:14,720 Speaker 1: is behind him in Canada at the Institute. This was 107 00:07:14,760 --> 00:07:20,160 Speaker 1: all all shared by Professor Weinstein on his Twitter account 108 00:07:20,200 --> 00:07:27,120 Speaker 1: Build Back Better in Canada, the Institute for European Environmental Policy, 109 00:07:27,200 --> 00:07:33,840 Speaker 1: the OECD tackling coronavirus, contributing to a global effort building 110 00:07:34,040 --> 00:07:41,680 Speaker 1: back better. Prime Minister Imron Khan having a spokesperson in 111 00:07:41,800 --> 00:07:45,840 Speaker 1: Pakistan stand in front of a sign that says build 112 00:07:45,960 --> 00:07:54,960 Speaker 1: back Better. Starting to see this UK, Canada, International Organizations OECD. 113 00:07:55,080 --> 00:07:59,400 Speaker 1: I mean, we're talking folks Grade A one globalists here. 114 00:08:00,160 --> 00:08:02,040 Speaker 1: There's a term we're gonna have to start using more. 115 00:08:03,000 --> 00:08:05,160 Speaker 1: We've used it in the past, but now we're seeing, 116 00:08:05,600 --> 00:08:09,120 Speaker 1: with the possibility of a Trump exit from the world stage, 117 00:08:09,480 --> 00:08:13,680 Speaker 1: the globalists want to come rushing back in. Why do 118 00:08:13,720 --> 00:08:16,200 Speaker 1: we not like what the globalists want for us? What's 119 00:08:16,240 --> 00:08:21,800 Speaker 1: the problem with it? Central planning for nation states results 120 00:08:21,920 --> 00:08:27,520 Speaker 1: in failure results in the destruction of freedom of individual 121 00:08:27,640 --> 00:08:33,160 Speaker 1: choice and therefore of a degree of individual individual identity autonomy. 122 00:08:33,840 --> 00:08:36,480 Speaker 1: They start to chip away at your very soul. We're 123 00:08:36,559 --> 00:08:39,800 Speaker 1: not machines. We don't exist to do what other people 124 00:08:39,840 --> 00:08:45,040 Speaker 1: in far off offices tell us to do. There should 125 00:08:45,040 --> 00:08:51,959 Speaker 1: only be the most universally applicable standards and guidelines, set, contracts, enforced, 126 00:08:52,760 --> 00:08:55,839 Speaker 1: and that's it. We're supposed to be able to make 127 00:08:55,880 --> 00:08:59,520 Speaker 1: other choices for ourselves. And as we know, and the 128 00:08:59,520 --> 00:09:02,120 Speaker 1: founders certainly understood this, which is why we have federal, state, 129 00:09:02,120 --> 00:09:04,079 Speaker 1: and local levels, which is why we have the House 130 00:09:04,120 --> 00:09:05,959 Speaker 1: of Representatives, which is why we have a Senate, which 131 00:09:06,000 --> 00:09:09,800 Speaker 1: is why we have a separate judiciary. That you don't 132 00:09:09,840 --> 00:09:15,240 Speaker 1: want the consolidation of power and very few hands because 133 00:09:15,240 --> 00:09:19,600 Speaker 1: it results in tyranny as well as bad decision making. 134 00:09:20,080 --> 00:09:23,600 Speaker 1: There is no one person, there's no one entity unless 135 00:09:23,640 --> 00:09:26,000 Speaker 1: all of a sudden we have a return of the Messiah, 136 00:09:26,040 --> 00:09:28,720 Speaker 1: that is in a position to tell everybody what to do, 137 00:09:29,000 --> 00:09:35,719 Speaker 1: what's best and what's right without catastrophically bad outcomes. So, 138 00:09:35,800 --> 00:09:38,000 Speaker 1: if you look at central planning, if you look at 139 00:09:38,000 --> 00:09:41,920 Speaker 1: collectivism as it plays out in a nation, state, now 140 00:09:41,920 --> 00:09:46,120 Speaker 1: imagine you're magnifying that out all over the world. One 141 00:09:46,240 --> 00:09:50,880 Speaker 1: world policy. You could have one world principles, but what 142 00:09:50,920 --> 00:09:53,800 Speaker 1: does a one world policy look like? Right? And they 143 00:09:53,800 --> 00:09:55,680 Speaker 1: always start with the one and then try to move 144 00:09:55,720 --> 00:09:59,600 Speaker 1: to the other. And we see that it's a failure. 145 00:10:00,640 --> 00:10:03,600 Speaker 1: They're unable to do it, but that never stops them. 146 00:10:03,760 --> 00:10:06,800 Speaker 1: They keep wanting to assert their will. They keep wanting 147 00:10:06,840 --> 00:10:10,560 Speaker 1: to tell you what to do, whether it's about energy, 148 00:10:10,640 --> 00:10:14,040 Speaker 1: whether it's about our own elections, international monitors looking at 149 00:10:14,080 --> 00:10:18,720 Speaker 1: what we're doing, any number of issues where the UN, 150 00:10:18,960 --> 00:10:24,600 Speaker 1: international consensus, global opinion are supposed to influence us. I 151 00:10:24,600 --> 00:10:29,760 Speaker 1: always think it's hilarious when journalists will show what the 152 00:10:29,840 --> 00:10:33,520 Speaker 1: opinion is of some European country or European countries about 153 00:10:33,520 --> 00:10:37,640 Speaker 1: our election. I'm pretty sure we won a revolution starting 154 00:10:37,720 --> 00:10:40,480 Speaker 1: in seventeen seventy six, so we could not give a 155 00:10:40,600 --> 00:10:44,720 Speaker 1: crap what the Brits or the French, or the Germans 156 00:10:44,920 --> 00:10:46,760 Speaker 1: or anybody else. And we had to win a few 157 00:10:46,760 --> 00:10:49,880 Speaker 1: wars against the Germans for that right too, or anybody 158 00:10:49,880 --> 00:10:53,720 Speaker 1: else thinks about our politicians. In fact, I'm quite certain 159 00:10:53,760 --> 00:10:56,960 Speaker 1: of it. I think my history is sound here. I 160 00:10:57,000 --> 00:11:00,480 Speaker 1: don't care at all but build back better as a 161 00:11:00,520 --> 00:11:05,479 Speaker 1: global rallying cry with COVID should make you very illidease. 162 00:11:06,920 --> 00:11:10,760 Speaker 1: We just want them to stop what they are doing 163 00:11:11,200 --> 00:11:14,480 Speaker 1: because they are not helping. And what they are telling 164 00:11:14,520 --> 00:11:17,880 Speaker 1: you is, Oh, you're gonna get more of this, and 165 00:11:17,960 --> 00:11:20,440 Speaker 1: you're gonna get a whole lot more of other stuff 166 00:11:20,440 --> 00:11:22,280 Speaker 1: that we're planning a lot of it doesn't even have 167 00:11:22,320 --> 00:11:28,280 Speaker 1: to do with COVID. This is out of the Slalinsky 168 00:11:28,360 --> 00:11:32,120 Speaker 1: playbook and rules for radicals as well. Just get a group, 169 00:11:32,160 --> 00:11:36,960 Speaker 1: get a population, Get people mobilized around one issue, and 170 00:11:37,000 --> 00:11:39,240 Speaker 1: then you have a mobilized group that you can use 171 00:11:39,280 --> 00:11:43,760 Speaker 1: for any other issue. Get people fearful and obedient, get 172 00:11:43,760 --> 00:11:47,160 Speaker 1: them to bend the knee on COVID nineteen lockdowns, which 173 00:11:47,200 --> 00:11:50,440 Speaker 1: is what they're about to do again, And then it 174 00:11:50,520 --> 00:11:53,320 Speaker 1: becomes so much easier to tell them we're also going 175 00:11:53,360 --> 00:11:56,320 Speaker 1: to do the following for your benefit. You listen to 176 00:11:56,400 --> 00:11:59,840 Speaker 1: us on COVID and we kept you safe, even though 177 00:12:00,240 --> 00:12:05,760 Speaker 1: they didn't and they made things worse. This is the 178 00:12:05,880 --> 00:12:10,720 Speaker 1: plan described accurately. They would tell you that the plan, 179 00:12:10,800 --> 00:12:15,760 Speaker 1: the centrally planned effort of a would be incoming Biden 180 00:12:15,760 --> 00:12:19,280 Speaker 1: administration and all of the international institutions in globalists that 181 00:12:19,280 --> 00:12:23,240 Speaker 1: it will lean on in order to erode your rights 182 00:12:23,240 --> 00:12:27,080 Speaker 1: and your autonomy. They will tell you that this is 183 00:12:27,080 --> 00:12:30,360 Speaker 1: going to make everything so so much better. They're going 184 00:12:30,360 --> 00:12:32,800 Speaker 1: to improve everything in your life. They're telling you that 185 00:12:32,840 --> 00:12:35,680 Speaker 1: as they're making your life more miserable and more difficult, 186 00:12:36,280 --> 00:12:39,520 Speaker 1: So why should you listen to them? Ultimately, this rests 187 00:12:39,559 --> 00:12:44,400 Speaker 1: on coercion. That's the problem with the leftist approach, with 188 00:12:44,440 --> 00:12:48,080 Speaker 1: the collectivist approach. These are arguments that should be settled 189 00:12:49,000 --> 00:12:54,800 Speaker 1: through an established process of people voting and also taking 190 00:12:54,840 --> 00:12:57,720 Speaker 1: actions that are within the scope of a constitution that 191 00:12:57,840 --> 00:13:00,239 Speaker 1: is written in plan language that we can all understand. 192 00:13:00,960 --> 00:13:03,880 Speaker 1: But they seek to subvert all of that. They either 193 00:13:03,920 --> 00:13:07,920 Speaker 1: say the constitution doesn't matter. It's an old document written 194 00:13:07,920 --> 00:13:11,520 Speaker 1: by people that we shouldn't listen to anymore. Or they 195 00:13:11,559 --> 00:13:16,160 Speaker 1: say that elections only count when they win, or they 196 00:13:16,200 --> 00:13:18,880 Speaker 1: say that our election doesn't even really matter all that much. 197 00:13:19,240 --> 00:13:21,640 Speaker 1: As long as we have people in charge who will 198 00:13:21,679 --> 00:13:25,160 Speaker 1: take orders and be a part of this globalist collective, 199 00:13:25,200 --> 00:13:27,880 Speaker 1: then everything is going to get so much better for us. 200 00:13:27,920 --> 00:13:33,840 Speaker 1: Here we are heading into a miserable, cold winter of 201 00:13:34,000 --> 00:13:39,000 Speaker 1: moronic democrat policies with COVID, where they're just going to 202 00:13:39,040 --> 00:13:43,480 Speaker 1: become even more unhinged and enraged. They will continue. I 203 00:13:43,520 --> 00:13:48,080 Speaker 1: can assure you to blame Trump and Trump supporters all 204 00:13:48,120 --> 00:13:51,080 Speaker 1: the way through January, all the way through the no 205 00:13:51,160 --> 00:13:53,520 Speaker 1: matter who's in charge in this country, through the end 206 00:13:53,559 --> 00:13:56,360 Speaker 1: of the winter, because otherwise they'd have to turn around 207 00:13:56,360 --> 00:13:59,760 Speaker 1: and realize that they're just not that smart and they've 208 00:13:59,800 --> 00:14:02,280 Speaker 1: been swindle They've been fooled. And no one likes that 209 00:14:02,320 --> 00:14:06,920 Speaker 1: feeling that Fauci isn't some saint that we should all 210 00:14:07,240 --> 00:14:10,280 Speaker 1: we should all elevate as the great hero of the 211 00:14:10,320 --> 00:14:14,120 Speaker 1: COVID nineteen pandemic. No, this guy should be thought of 212 00:14:14,640 --> 00:14:19,560 Speaker 1: as somebody deserving of scorn. I mean, he's truly failed 213 00:14:19,680 --> 00:14:23,280 Speaker 1: in his charge here. At a minimum, he should have 214 00:14:23,280 --> 00:14:25,600 Speaker 1: the humility to say, I've been wrong on key stuff. 215 00:14:25,800 --> 00:14:28,480 Speaker 1: I don't really know what to do anymore. Somebody else 216 00:14:28,480 --> 00:14:32,240 Speaker 1: should step up and be advising you guys. My policy 217 00:14:32,280 --> 00:14:36,880 Speaker 1: declarations are absurd, They're idiotic. We're going to have people 218 00:14:36,960 --> 00:14:39,800 Speaker 1: masking up after the vaccine. We're going to have people 219 00:14:39,840 --> 00:14:44,160 Speaker 1: continue to do this once there's no real epidemiological basis 220 00:14:44,760 --> 00:14:48,800 Speaker 1: for them to be worried about the risks, long since 221 00:14:48,840 --> 00:14:51,320 Speaker 1: passed the time when he should have stepped aside. But 222 00:14:51,400 --> 00:14:55,040 Speaker 1: now you're seeing it. Of course he's not going to 223 00:14:55,040 --> 00:14:58,480 Speaker 1: step aside. Of course, the people that have been screaming 224 00:14:58,480 --> 00:15:01,760 Speaker 1: at you to wear a cloth mask loosely fitted around 225 00:15:01,760 --> 00:15:04,760 Speaker 1: your face, sometimes usually in public, so you can show 226 00:15:04,760 --> 00:15:08,360 Speaker 1: what a great democrat you are, or because you don't 227 00:15:08,360 --> 00:15:10,000 Speaker 1: want people to spit at you and yell at you 228 00:15:10,040 --> 00:15:12,880 Speaker 1: and scream at you because you're one of the bad people. 229 00:15:12,920 --> 00:15:16,200 Speaker 1: That's even though there's a ninety nine percent chance you're 230 00:15:16,240 --> 00:15:18,800 Speaker 1: just a healthy person walking around living your life. You're 231 00:15:18,840 --> 00:15:23,280 Speaker 1: treated like some kind of zector of the plague. It's 232 00:15:23,280 --> 00:15:26,520 Speaker 1: really not about this, in the end. It's about the 233 00:15:26,560 --> 00:15:29,240 Speaker 1: massive shift in our mentality, the way that we have 234 00:15:29,360 --> 00:15:32,000 Speaker 1: let our liberties slip through our fingers with barely a 235 00:15:32,040 --> 00:15:37,080 Speaker 1: peep of protest, and they see an opening here. It's 236 00:15:37,120 --> 00:15:42,960 Speaker 1: not just about the great reset. It's a remaking of society. 237 00:15:43,120 --> 00:15:46,840 Speaker 1: We've been conditioned now to do whatever the government tells 238 00:15:46,920 --> 00:15:50,920 Speaker 1: us about some of the most personal, intimate aspects of 239 00:15:50,920 --> 00:15:55,160 Speaker 1: our lives. Who you spend the holidays with the government, 240 00:15:55,240 --> 00:15:59,720 Speaker 1: and it's bureaucrats thinks that it has that mandate. Now, 241 00:16:01,240 --> 00:16:05,000 Speaker 1: this is a power that the Obama socialists of a 242 00:16:05,000 --> 00:16:08,800 Speaker 1: few years ago could have barely dreamed of, and now 243 00:16:08,840 --> 00:16:14,320 Speaker 1: the Biden acolytes are all getting ready to implement this. 244 00:16:14,520 --> 00:16:18,560 Speaker 1: The Build Back Better Plan also known as the eradicate 245 00:16:18,640 --> 00:16:23,080 Speaker 1: your freedom, your liberty and the constitutional protections that have 246 00:16:23,200 --> 00:16:28,680 Speaker 1: been around for a couple of hundred years plan. You're 247 00:16:28,760 --> 00:16:32,440 Speaker 1: in the freedom This is the Buck Sex and Show podcast. 248 00:16:36,240 --> 00:16:40,360 Speaker 1: Do a risk benefit discussion with your family about what 249 00:16:40,400 --> 00:16:42,920 Speaker 1: you're going to want to do with the holidays. In 250 00:16:42,960 --> 00:16:45,360 Speaker 1: other words, you might say, you know, I have vulnerable 251 00:16:45,400 --> 00:16:47,800 Speaker 1: people in the family, I have elderly people, I have 252 00:16:47,880 --> 00:16:51,640 Speaker 1: people with underlying conditions. Do I want to get ten, fifteen, 253 00:16:51,720 --> 00:16:54,800 Speaker 1: twenty people flying in from different parts of the country. 254 00:16:55,160 --> 00:16:58,440 Speaker 1: That's a wonderful, beautiful tradition that we have, Jim. But 255 00:16:58,520 --> 00:17:02,040 Speaker 1: maybe the time now is to take an assessment of 256 00:17:02,080 --> 00:17:05,359 Speaker 1: that risk benefit ratio and maybe modify what you're gonna 257 00:17:05,400 --> 00:17:08,280 Speaker 1: do from now. And the scientific thing is that there 258 00:17:08,400 --> 00:17:10,879 Speaker 1: is light at the end of the tunnel, help is 259 00:17:10,920 --> 00:17:14,320 Speaker 1: on the way, So a vaccine should not have You 260 00:17:14,359 --> 00:17:16,880 Speaker 1: then make a decision, well, we're going to have a vaccine, 261 00:17:16,880 --> 00:17:19,359 Speaker 1: so we don't have to do anything else. No, the 262 00:17:19,400 --> 00:17:22,280 Speaker 1: fact that we have a vaccine coming means we should 263 00:17:22,359 --> 00:17:26,000 Speaker 1: double down and hang in there because help is on 264 00:17:26,080 --> 00:17:29,879 Speaker 1: the way. Oh wait, now we can have risk discussions 265 00:17:29,880 --> 00:17:32,800 Speaker 1: among ourselves because because Governor Cuomo in New York and 266 00:17:32,920 --> 00:17:38,520 Speaker 1: Governor Newsom in California, among others, have said limits on 267 00:17:38,520 --> 00:17:41,639 Speaker 1: how many people who can gather in your home, they've 268 00:17:41,680 --> 00:17:43,600 Speaker 1: decided this is a matter of law, this is a 269 00:17:43,600 --> 00:17:49,840 Speaker 1: matter of state coercion. Now the doctor Fauci, you know, 270 00:17:50,000 --> 00:17:52,280 Speaker 1: help is on the way, and the cavalry's come in. 271 00:17:52,359 --> 00:17:58,199 Speaker 1: And oh but notice that I think they've shown us 272 00:17:58,240 --> 00:18:00,199 Speaker 1: a little too much of who they are, especially with 273 00:18:00,240 --> 00:18:03,359 Speaker 1: this talk of mask up after the vaccine. I'm sorry, 274 00:18:03,400 --> 00:18:07,280 Speaker 1: what was that? The moron just said all aspects of 275 00:18:07,280 --> 00:18:12,440 Speaker 1: this should be left up to individuals, private businesses, private establishments. 276 00:18:12,640 --> 00:18:16,480 Speaker 1: What are we willing to do and what decisions are 277 00:18:16,480 --> 00:18:18,120 Speaker 1: we going to make? But it has not been that way. 278 00:18:19,160 --> 00:18:23,159 Speaker 1: Businesses require masks overwhelmingly because state mandates tell them to 279 00:18:23,200 --> 00:18:27,639 Speaker 1: require masks. Business is shut down because people are told 280 00:18:27,760 --> 00:18:31,720 Speaker 1: they have to. This has not been about choice or freedom. 281 00:18:32,080 --> 00:18:33,960 Speaker 1: Web and how they say we can start to talk 282 00:18:34,000 --> 00:18:37,720 Speaker 1: about risks huh. Thanks for listening to the buses and 283 00:18:37,800 --> 00:18:42,560 Speaker 1: show podcasts. Remember to subscribe on Apple podcasts, the iHeartRadio app, 284 00:18:42,760 --> 00:18:46,600 Speaker 1: or wherever you get your podcasts. What the hell are 285 00:18:46,680 --> 00:18:49,400 Speaker 1: you doing here? Yeah? It could be their last Thanksgiving 286 00:18:49,920 --> 00:18:52,879 Speaker 1: if you expose them to people who aren't wearing masks, 287 00:18:52,920 --> 00:18:56,000 Speaker 1: who aren't socially distancing and haven't been doing so and 288 00:18:56,080 --> 00:18:59,520 Speaker 1: haven't gotten tested because they somehow think they don't want 289 00:18:59,520 --> 00:19:02,080 Speaker 1: to get in the con of COVID. You know you 290 00:19:02,119 --> 00:19:04,040 Speaker 1: want to hide on state news, you do it. But 291 00:19:04,200 --> 00:19:07,240 Speaker 1: someday you're gonna have to deal with real questions and 292 00:19:07,280 --> 00:19:08,800 Speaker 1: either you're gonna come on a show or you're gonna 293 00:19:08,800 --> 00:19:10,000 Speaker 1: do it. But you know what, we may go back 294 00:19:10,000 --> 00:19:12,480 Speaker 1: to old school, and maybe the questions will come find you. 295 00:19:12,680 --> 00:19:15,280 Speaker 1: Maybe when you're living your life nice and easy because 296 00:19:15,320 --> 00:19:17,680 Speaker 1: you don't have the concerns that these same people that 297 00:19:17,720 --> 00:19:20,280 Speaker 1: you're telling the rise up that they have, Maybe the 298 00:19:20,320 --> 00:19:22,480 Speaker 1: questions will come and find you because you have to 299 00:19:22,480 --> 00:19:25,320 Speaker 1: answer to that kind of guidance. Let alone. It's a doctor, 300 00:19:25,640 --> 00:19:30,520 Speaker 1: do no harm. Invite Grandma. This could be her last Thanksgiving. Yeah, 301 00:19:30,520 --> 00:19:32,400 Speaker 1: if you invite her to a place where you can 302 00:19:32,400 --> 00:19:36,360 Speaker 1: get sick and die almost like Bro Cuomo over at 303 00:19:36,440 --> 00:19:43,919 Speaker 1: CNN is threatening? Is threatening? Doctor Scott Atlas here with 304 00:19:44,000 --> 00:19:48,919 Speaker 1: at least ambush questions outside of his home or something 305 00:19:49,040 --> 00:19:53,160 Speaker 1: right because he says, enjoy your Thanksgiving. Doctor Fauci said, 306 00:19:53,160 --> 00:19:57,560 Speaker 1: have a talk about the risks. Doctor Atlas says, see 307 00:19:57,560 --> 00:20:00,800 Speaker 1: your grandparents, don't don't be crazy like thing is perfect 308 00:20:00,840 --> 00:20:03,840 Speaker 1: and you could end up. You know, does Cuomo ever 309 00:20:03,880 --> 00:20:06,119 Speaker 1: look at the at the data that shows that a 310 00:20:06,200 --> 00:20:08,520 Speaker 1: vast majority of the people who are dying from COVID 311 00:20:09,240 --> 00:20:11,399 Speaker 1: are at high risk of dying from any number of 312 00:20:11,400 --> 00:20:16,400 Speaker 1: other natural causes imminently over people in their eighties. Almost 313 00:20:16,480 --> 00:20:18,600 Speaker 1: half of the people who have died of COVID in 314 00:20:18,640 --> 00:20:21,520 Speaker 1: the last month or so are people who are in 315 00:20:22,400 --> 00:20:25,080 Speaker 1: or above their eighties. Now that's not to say that 316 00:20:25,760 --> 00:20:27,280 Speaker 1: I know, I hate that we would have said this. 317 00:20:27,320 --> 00:20:29,119 Speaker 1: Every life is precious, you know. I still remember, I 318 00:20:29,119 --> 00:20:30,840 Speaker 1: still get very sad when I think about the loss 319 00:20:30,880 --> 00:20:35,639 Speaker 1: of all four of my grandparents. But I wouldn't have 320 00:20:35,680 --> 00:20:39,240 Speaker 1: told them stay in your nursing home, for which they 321 00:20:39,240 --> 00:20:41,920 Speaker 1: weren't in nursing homes. But regardless, I wouldn't have said, 322 00:20:41,920 --> 00:20:44,520 Speaker 1: you know, stay alone in your home don't see anyone. 323 00:20:44,920 --> 00:20:47,919 Speaker 1: You're eighty four. We can't let you see anyone for 324 00:20:47,960 --> 00:20:51,000 Speaker 1: the next eighteen months, maybe the next two years. Sorry, 325 00:20:51,359 --> 00:20:55,639 Speaker 1: it's not safe. Stay home alone. How about that? Is 326 00:20:55,680 --> 00:20:59,320 Speaker 1: that the life that Governor Cuomo and his idiot brother 327 00:20:59,400 --> 00:21:02,199 Speaker 1: over at seeing and want for everybody, because that's the 328 00:21:02,280 --> 00:21:06,400 Speaker 1: life that they're insisting that we all have. Can't see 329 00:21:06,400 --> 00:21:10,919 Speaker 1: your grandparents, can't actually take any of these risks. Trump 330 00:21:11,000 --> 00:21:14,840 Speaker 1: had COVID was fine in three days. Life's not perfect. 331 00:21:14,880 --> 00:21:17,760 Speaker 1: Some people get this and they die very few as 332 00:21:17,760 --> 00:21:20,720 Speaker 1: a percentage, And yet we have all of society being 333 00:21:20,760 --> 00:21:24,040 Speaker 1: told to be in this panic over this. Don't have Thanksgiving, 334 00:21:24,080 --> 00:21:27,760 Speaker 1: don't have Christmas, don't see people, don't live your lives. Yeah, 335 00:21:27,800 --> 00:21:33,720 Speaker 1: if you're sick. If I had the flu five years ago, okay, 336 00:21:33,880 --> 00:21:36,640 Speaker 1: I would not have gone to my family Thanksgiving. If 337 00:21:36,640 --> 00:21:39,400 Speaker 1: you're sick, clearly stay away from people. But what they're 338 00:21:39,440 --> 00:21:44,119 Speaker 1: talking about are the risks of asymptomatic transmission among people 339 00:21:44,119 --> 00:21:46,639 Speaker 1: in a family, and then the risk of somebody in 340 00:21:46,640 --> 00:21:49,520 Speaker 1: the family getting it and actually dying from it as 341 00:21:49,560 --> 00:21:53,240 Speaker 1: a result. There are a lot of folks out there 342 00:21:53,320 --> 00:21:55,959 Speaker 1: who are going to look at that and if they 343 00:21:56,040 --> 00:22:00,160 Speaker 1: understand the real numbers, the real data, and say, Okay, 344 00:22:00,200 --> 00:22:03,320 Speaker 1: we're just gonna we're gonna live our lives. We're going 345 00:22:03,359 --> 00:22:04,920 Speaker 1: to do this, We're going to see each other. We're 346 00:22:04,920 --> 00:22:10,720 Speaker 1: willing to do that anyway, knowing in any given year, 347 00:22:10,800 --> 00:22:13,160 Speaker 1: you could have showed up at Thanksgiving and given Grandma 348 00:22:13,200 --> 00:22:14,720 Speaker 1: the flu and she could have died from that. That 349 00:22:14,760 --> 00:22:16,720 Speaker 1: has been true. And people say, oh, you would know 350 00:22:17,040 --> 00:22:19,680 Speaker 1: that's not true because the flu is at least twenty 351 00:22:19,720 --> 00:22:22,439 Speaker 1: four hours before you show symptoms. You can spread it, 352 00:22:22,480 --> 00:22:23,920 Speaker 1: which is one of the reasons why the flu does 353 00:22:23,960 --> 00:22:28,560 Speaker 1: spread widely. So that could have happened in any given year. 354 00:22:28,920 --> 00:22:31,600 Speaker 1: But do you live your life based on that fear? 355 00:22:32,480 --> 00:22:38,040 Speaker 1: And let's also remember that COVID treatment has gotten substantially better, 356 00:22:38,760 --> 00:22:43,520 Speaker 1: which means the risk now is considerably less even for 357 00:22:43,680 --> 00:22:47,800 Speaker 1: those at high risk than it was back in April 358 00:22:47,960 --> 00:22:51,720 Speaker 1: and May and March of this past year. And there 359 00:22:52,320 --> 00:22:56,119 Speaker 1: are vaccines coming on the horizon, which I know doesn't 360 00:22:56,160 --> 00:22:59,400 Speaker 1: change your risk calculation for right now, but it does 361 00:22:59,520 --> 00:23:02,800 Speaker 1: mean that we are making real scientific progress against this 362 00:23:02,960 --> 00:23:07,200 Speaker 1: actual science. But I thought, I thought where a mask 363 00:23:07,320 --> 00:23:08,720 Speaker 1: was all you had to do, wearing a mask was 364 00:23:08,720 --> 00:23:10,520 Speaker 1: going to stop this thing cold in its tracks. That's 365 00:23:10,560 --> 00:23:12,160 Speaker 1: what we were told for months and months and months. 366 00:23:12,160 --> 00:23:15,200 Speaker 1: You mean that didn't work. Oh we didn't wear masks enough. 367 00:23:15,240 --> 00:23:20,439 Speaker 1: They'll tell us that's bull that's nonsense. But they're not 368 00:23:20,480 --> 00:23:23,560 Speaker 1: going to change because there's so much behind this. Isn't 369 00:23:23,600 --> 00:23:24,840 Speaker 1: it fun for them to be able to go around 370 00:23:24,840 --> 00:23:29,040 Speaker 1: and lecture everybody. Don't they get some joy out of 371 00:23:29,080 --> 00:23:33,840 Speaker 1: being the heroes here that stand up for science. We 372 00:23:33,960 --> 00:23:40,520 Speaker 1: believe the science Where a mask, Cuomo says, right, okay, 373 00:23:41,840 --> 00:23:45,280 Speaker 1: we've been doing that. Have they been doing that? Have 374 00:23:45,359 --> 00:23:48,720 Speaker 1: they been social distancing? Have some of the very people 375 00:23:49,440 --> 00:23:53,840 Speaker 1: who are making decisions about using the force of the 376 00:23:54,119 --> 00:23:59,800 Speaker 1: state to make you do things right now because of 377 00:24:00,080 --> 00:24:06,120 Speaker 1: COVID risk? Have they I'm just I'm wondering. I'm really asked. 378 00:24:06,160 --> 00:24:10,760 Speaker 1: I'm really asking have they been setting a good example? 379 00:24:12,160 --> 00:24:16,879 Speaker 1: The mayor of Chicago, remember Lorie Lightfoot, somebody who is 380 00:24:17,640 --> 00:24:21,560 Speaker 1: deeply unimpressive. That's fair to say true of many mayors, right, 381 00:24:22,080 --> 00:24:24,360 Speaker 1: I mean, she's probably a better mayor than de Blasio 382 00:24:24,440 --> 00:24:27,840 Speaker 1: because she at least got upset when there was widespread 383 00:24:27,880 --> 00:24:31,520 Speaker 1: looting of the downtown high end shopping district in Chicago. 384 00:24:31,600 --> 00:24:33,280 Speaker 1: She realized that's a bad look for her city, and 385 00:24:33,280 --> 00:24:35,520 Speaker 1: she was actually kind of upset about it. So I 386 00:24:35,560 --> 00:24:38,800 Speaker 1: guess she's not completely insane. Where's de Blasio views it 387 00:24:38,800 --> 00:24:41,080 Speaker 1: a little bit of you know, settling the score for 388 00:24:41,160 --> 00:24:43,680 Speaker 1: social justice. Got to have some looting and ryding sometimes, 389 00:24:43,760 --> 00:24:46,360 Speaker 1: you know, it's just the price the hard working people 390 00:24:46,400 --> 00:24:48,240 Speaker 1: in New York City have to pay for the left 391 00:24:48,280 --> 00:24:52,600 Speaker 1: wing lunatics in their midst. But Lorie Lightfoot is she 392 00:24:52,960 --> 00:24:55,040 Speaker 1: got the haircut when we couldn't get haircuts, remember that, 393 00:24:55,640 --> 00:24:57,280 Speaker 1: And then when asked about it, because she has to 394 00:24:57,280 --> 00:25:01,600 Speaker 1: look good for her city, that was her answer. Lorie 395 00:25:01,720 --> 00:25:05,199 Speaker 1: Lightfoot was out there with the big Biden protests on 396 00:25:05,200 --> 00:25:06,680 Speaker 1: the streets. We have this big we have the surge 397 00:25:06,720 --> 00:25:11,199 Speaker 1: of cases this week, and we're being told to change 398 00:25:11,240 --> 00:25:14,040 Speaker 1: all of these aspects of our lives. You know, no thanks. 399 00:25:14,119 --> 00:25:17,960 Speaker 1: They just canceled Thanksgiving parade. Thanksgiving parade in Houston, first 400 00:25:17,960 --> 00:25:20,639 Speaker 1: time that's happening over seventy years, ever since they've been 401 00:25:20,640 --> 00:25:23,560 Speaker 1: doing the parade. So they're canceling pride. And I'll look, 402 00:25:23,720 --> 00:25:25,760 Speaker 1: I don't like I'm not a parade person, but I 403 00:25:25,800 --> 00:25:28,560 Speaker 1: think people should. I think parades could can They could 404 00:25:28,600 --> 00:25:31,080 Speaker 1: certainly do the parade and just help people, you know, 405 00:25:31,200 --> 00:25:33,720 Speaker 1: don't gather in large numbers on They could still have 406 00:25:33,800 --> 00:25:36,840 Speaker 1: the parade and people could watch from a distance or not. 407 00:25:36,880 --> 00:25:39,480 Speaker 1: You know, there are ways they could do this, but no, 408 00:25:40,680 --> 00:25:42,679 Speaker 1: I mean, in general, I'm just an anti parade guy. 409 00:25:42,720 --> 00:25:46,520 Speaker 1: Unless it's a military veterans parade, and especially if there's 410 00:25:46,560 --> 00:25:50,800 Speaker 1: drums and or bagpipes involved, then it's cool. Other parades, 411 00:25:50,840 --> 00:25:55,600 Speaker 1: I'm just not into. I just don't care. But here's 412 00:25:55,680 --> 00:26:00,520 Speaker 1: Lorie Lightfoot talking about how the Biden celebration going on 413 00:26:00,600 --> 00:26:04,040 Speaker 1: there on the streets when they call the immedia called 414 00:26:04,040 --> 00:26:06,800 Speaker 1: the victory for Joe Biden. Oh yeah, she was out 415 00:26:06,800 --> 00:26:08,600 Speaker 1: there without a mask, and she was in crowds and 416 00:26:08,640 --> 00:26:10,159 Speaker 1: there are a lot of people gathered and yelling and 417 00:26:10,240 --> 00:26:15,240 Speaker 1: everything else. But you know, no big deal. Sixteen. We've 418 00:26:15,240 --> 00:26:18,800 Speaker 1: been saying all along, everybody has to take care, everybody 419 00:26:18,880 --> 00:26:20,919 Speaker 1: has to take precaution. I will tell you in that 420 00:26:20,960 --> 00:26:25,000 Speaker 1: big crowd a week ago, we had everybody was wearing masks. Look, 421 00:26:25,320 --> 00:26:28,119 Speaker 1: you can see the shot here. Mask compliance in our 422 00:26:28,160 --> 00:26:31,840 Speaker 1: city is actually up very, very high. But yes, there 423 00:26:31,840 --> 00:26:34,399 Speaker 1: are times when we actually do need to have a 424 00:26:34,480 --> 00:26:37,359 Speaker 1: relief and come together. And I felt like that was 425 00:26:37,440 --> 00:26:39,679 Speaker 1: one of those times that crowd was gathered, whether I 426 00:26:39,720 --> 00:26:42,320 Speaker 1: was there or not. But this has been a super 427 00:26:42,640 --> 00:26:49,280 Speaker 1: hard year on everyone. Everyone feels traumatize, they feel threatened 428 00:26:49,520 --> 00:26:52,199 Speaker 1: their safety, and they don't know what tomorrow is going 429 00:26:52,240 --> 00:26:55,040 Speaker 1: to bring. And with this new surge in cases, we 430 00:26:55,119 --> 00:26:57,840 Speaker 1: have just got to step up and do the right thing. 431 00:26:58,040 --> 00:27:00,480 Speaker 1: And I think people understand that. Back in the spring, 432 00:27:00,680 --> 00:27:03,800 Speaker 1: when we issue these blankets stay at home orders, it 433 00:27:03,840 --> 00:27:06,840 Speaker 1: was because we really didn't understand where the risk was, 434 00:27:07,000 --> 00:27:09,600 Speaker 1: so we were trying to mitigate it everywhere. We now 435 00:27:09,680 --> 00:27:11,760 Speaker 1: have a lot more data and we can use a 436 00:27:11,880 --> 00:27:15,680 Speaker 1: surgent's knife and not just a blunt instrument to try 437 00:27:15,720 --> 00:27:19,440 Speaker 1: to really go at where we're seeing the biggest risk 438 00:27:19,600 --> 00:27:22,439 Speaker 1: and help mitigate them. And for us right now, the 439 00:27:22,480 --> 00:27:25,119 Speaker 1: biggest risk that we're seeing in our city is in 440 00:27:25,160 --> 00:27:30,639 Speaker 1: these private spaces and gatherings or Trump rallies. Of course, 441 00:27:30,760 --> 00:27:32,440 Speaker 1: that's where the real risk is, right because this is 442 00:27:32,480 --> 00:27:34,600 Speaker 1: what Democrats have We're telling us for months leading up 443 00:27:34,640 --> 00:27:37,000 Speaker 1: the election. The Trump rallies are the real risks, not 444 00:27:37,080 --> 00:27:40,000 Speaker 1: BLM rallies and protests and looting and rioting. That's not 445 00:27:40,040 --> 00:27:44,920 Speaker 1: a risk. This has this has been politicized beyond recognition. 446 00:27:44,960 --> 00:27:47,879 Speaker 1: I mean, this is now a straight up political issue. 447 00:27:48,520 --> 00:27:53,160 Speaker 1: But I do want to be very clear here that 448 00:27:53,640 --> 00:27:59,840 Speaker 1: she is basically making some absurd justification as she goes along. 449 00:28:00,080 --> 00:28:04,080 Speaker 1: You know, people need relief sometimes, but don't gather for Thanksgiving. 450 00:28:05,040 --> 00:28:08,479 Speaker 1: Oh okay, so you need relief for a Joe Biden 451 00:28:08,600 --> 00:28:13,560 Speaker 1: victory dance like literally dancing in the streets. But people 452 00:28:13,560 --> 00:28:15,840 Speaker 1: shouldn't have the relief of seeing their family members over 453 00:28:15,840 --> 00:28:20,240 Speaker 1: the holidays, including family members who have been particularly isolated 454 00:28:20,320 --> 00:28:22,160 Speaker 1: during COVID, who have been cut off from their loved 455 00:28:22,160 --> 00:28:26,679 Speaker 1: ones and friends and just human contact. Now that that 456 00:28:26,800 --> 00:28:30,080 Speaker 1: doesn't that doesn't count. Joe Biden's victory is important. Your 457 00:28:30,119 --> 00:28:33,760 Speaker 1: Thanksgiving with your family is not. That's what Lori Lyford 458 00:28:33,800 --> 00:28:36,560 Speaker 1: wants you to know. Before I move on to another 459 00:28:36,600 --> 00:28:40,120 Speaker 1: case of this, I just wanted to point out she says, 460 00:28:40,160 --> 00:28:43,000 Speaker 1: we're in Chicago, just just to take an example, They're 461 00:28:43,000 --> 00:28:45,600 Speaker 1: doing great with masks in Chicago. They're doing great with 462 00:28:45,640 --> 00:28:48,720 Speaker 1: masks in Chicago. Okay, I'm so happy to hear that 463 00:28:49,800 --> 00:28:58,080 Speaker 1: in August you had you know, you had fifteen hundred 464 00:28:58,200 --> 00:29:01,520 Speaker 1: Let's say to two thousand ks a day in Chicago. 465 00:29:03,680 --> 00:29:08,400 Speaker 1: Yesterday you had eleven I'm sorry, fifteen thousand, fifteen thousand 466 00:29:08,960 --> 00:29:12,080 Speaker 1: as of November thirteenth, so a few days ago. It's 467 00:29:12,080 --> 00:29:15,040 Speaker 1: the data that just popped up here. Twelve thousand. I 468 00:29:15,040 --> 00:29:18,280 Speaker 1: think November sixteenth was twelve thousand every that's the closest one. 469 00:29:18,760 --> 00:29:22,640 Speaker 1: So we've gone from call it fifteen hundred and twelve thousand, 470 00:29:23,160 --> 00:29:26,880 Speaker 1: fifteen thousand a couple of days ago, new cases. And 471 00:29:27,480 --> 00:29:32,560 Speaker 1: but we're doing great with masks. Gee, how great would 472 00:29:32,560 --> 00:29:36,640 Speaker 1: we be doing without mask mandates? I asked that question 473 00:29:36,840 --> 00:29:40,400 Speaker 1: in all honesty. She says, and she's the mayor and 474 00:29:40,440 --> 00:29:43,240 Speaker 1: she's watching it very closely, and she's a Democrat. She says, 475 00:29:43,480 --> 00:29:46,840 Speaker 1: we're doing great, guys, great masking. Okay, cool cases are 476 00:29:46,960 --> 00:29:52,560 Speaker 1: up seven x in two months. Well what are we 477 00:29:52,760 --> 00:29:55,480 Speaker 1: what are we to believe that without our amazing cloth 478 00:29:55,560 --> 00:29:58,600 Speaker 1: mask policy they'd be up seventy? Is that really what 479 00:29:58,600 --> 00:30:01,800 Speaker 1: we're going to think? In New York City, we didn't 480 00:30:01,800 --> 00:30:05,560 Speaker 1: wear masks in February when the virus was spreading all 481 00:30:05,600 --> 00:30:09,640 Speaker 1: over the city, and it didn't get up to those 482 00:30:09,760 --> 00:30:13,200 Speaker 1: kinds of numbers, right going up to one hundred thousand 483 00:30:13,280 --> 00:30:17,640 Speaker 1: cases a day, let's say something like that. But in Chicago, 484 00:30:17,680 --> 00:30:20,640 Speaker 1: a city with two million instead of eight million people, 485 00:30:21,360 --> 00:30:24,720 Speaker 1: they're they're up to fifteen thousand cases a day, and 486 00:30:24,760 --> 00:30:28,920 Speaker 1: they're a great example of mask wearing. But like I said, 487 00:30:29,360 --> 00:30:31,280 Speaker 1: that's all, and if you don't wear them, you're a 488 00:30:31,280 --> 00:30:36,840 Speaker 1: bad person. In fact, it is your patriotic duty. Play 489 00:30:36,880 --> 00:30:41,120 Speaker 1: clip five. Ask a rhetorical question. Do you guys understand this? 490 00:30:42,120 --> 00:30:46,680 Speaker 1: Does anybody understand why a governor would turn this into 491 00:30:46,680 --> 00:30:51,400 Speaker 1: a political statement. It's about patriotism, It's about being patriotic, 492 00:30:51,480 --> 00:30:54,880 Speaker 1: it's about saving life. For real, I'm not it's not hyperbole. 493 00:30:55,200 --> 00:30:58,680 Speaker 1: It's about being patriotic. And I think you're seeing more 494 00:30:58,680 --> 00:31:04,040 Speaker 1: and more this gun awful virus continues to spread almost unabated, 495 00:31:04,640 --> 00:31:11,280 Speaker 1: that that governors are stepping up, he says, it spreads. 496 00:31:11,360 --> 00:31:16,400 Speaker 1: I'm using his words now, I'm using the Democrat talking 497 00:31:16,480 --> 00:31:23,360 Speaker 1: points here, and I just want explanations. He's using words 498 00:31:23,400 --> 00:31:29,240 Speaker 1: like unabated. Meanwhile, we have masking going on. Meanwhile, we 499 00:31:29,280 --> 00:31:33,920 Speaker 1: have masking going on in numbers that they're praising. Unobated 500 00:31:34,000 --> 00:31:37,240 Speaker 1: means effectively without any stopping of it, right with it. 501 00:31:37,360 --> 00:31:41,640 Speaker 1: It's just free reign to spread. But our masking has 502 00:31:41,680 --> 00:31:44,000 Speaker 1: been great. Good job at the masking, but Biden saying 503 00:31:44,040 --> 00:31:47,480 Speaker 1: it's spreading unabated. Nobody wants to see these two things 504 00:31:47,480 --> 00:31:49,880 Speaker 1: in conflict, though, right, because a whole lot of people 505 00:31:49,880 --> 00:31:52,280 Speaker 1: will look like a bunch of dumb asses if we 506 00:31:52,480 --> 00:31:59,400 Speaker 1: actually dig into what's happening here. You're in. This is 507 00:31:59,440 --> 00:32:07,720 Speaker 1: the Bucks Sexton Show podcast and another one, another one 508 00:32:07,840 --> 00:32:12,040 Speaker 1: here telling us that we all have to mask up, 509 00:32:12,080 --> 00:32:13,680 Speaker 1: that we have to listen to the mandates, we have 510 00:32:13,800 --> 00:32:18,920 Speaker 1: to obey all these different rules and regulations around COVID. 511 00:32:19,080 --> 00:32:23,560 Speaker 1: But he doesn't have to obey the rules. He's important. 512 00:32:24,200 --> 00:32:27,600 Speaker 1: He's an important, powerful person who's doing the bidding of 513 00:32:27,640 --> 00:32:31,960 Speaker 1: the left, so he gets to live by a different 514 00:32:32,160 --> 00:32:36,719 Speaker 1: set of rules. That's the explanation we get. That's the 515 00:32:36,840 --> 00:32:40,840 Speaker 1: reality of this. So let's just hear from himself because 516 00:32:40,920 --> 00:32:43,239 Speaker 1: he's got to do a little fake apology thing. Here 517 00:32:43,240 --> 00:32:47,600 Speaker 1: we got Gavin noosm everybody play thirteen. I was asked 518 00:32:47,800 --> 00:32:51,240 Speaker 1: to go to a friend's fiftieth birthday. My wife and 519 00:32:51,280 --> 00:32:53,920 Speaker 1: I a friend that I've known for almost twenty years 520 00:32:53,960 --> 00:32:57,840 Speaker 1: and a friend that had well put a lot of 521 00:32:58,000 --> 00:33:01,360 Speaker 1: time and energy into his fiftieth birthday. It was in Napa, 522 00:33:01,400 --> 00:33:05,160 Speaker 1: which was in the Orange status, relatively loose compared to 523 00:33:05,200 --> 00:33:10,120 Speaker 1: some other counties. It was to be an outdoor restaurant 524 00:33:10,200 --> 00:33:13,719 Speaker 1: and we started the well the program start at four o'clock. 525 00:33:13,800 --> 00:33:16,280 Speaker 1: It was one of those early reservations. I got there 526 00:33:16,280 --> 00:33:18,920 Speaker 1: a little bit late at four thirty, and as soon 527 00:33:18,960 --> 00:33:21,920 Speaker 1: as I sat down at the larger table, I realized 528 00:33:21,920 --> 00:33:25,280 Speaker 1: it was a little larger group than I had anticipated, 529 00:33:25,920 --> 00:33:29,400 Speaker 1: and I made a bad mistake. Instead of sitting down, 530 00:33:30,520 --> 00:33:34,800 Speaker 1: I should have stood up and walked back on my 531 00:33:34,880 --> 00:33:39,320 Speaker 1: car and drove back to my house. Instead, I chose 532 00:33:39,400 --> 00:33:41,640 Speaker 1: to sit there with my wife and a number of 533 00:33:41,680 --> 00:33:45,160 Speaker 1: other couples that were outside the household. You can quibble 534 00:33:45,160 --> 00:33:47,960 Speaker 1: about the guidelines, et cetera, et cetera, but the spirit 535 00:33:48,360 --> 00:33:51,680 Speaker 1: of what I'm preaching all the time was contradicted and 536 00:33:51,720 --> 00:33:53,160 Speaker 1: I got to own that. And so I want to 537 00:33:53,160 --> 00:33:57,720 Speaker 1: apologize to you because I need to preach and practice, 538 00:33:58,000 --> 00:34:01,080 Speaker 1: not just preach and not actus. And I've done my 539 00:34:01,120 --> 00:34:04,600 Speaker 1: best to do that. We're all human, we all fall short. 540 00:34:04,680 --> 00:34:08,920 Speaker 1: Sometimes He's much more slick, I'll give him that than 541 00:34:09,040 --> 00:34:12,280 Speaker 1: say Governor Cuomo is, who is just a deluded sociopath, 542 00:34:13,239 --> 00:34:18,600 Speaker 1: the governor of California. Yeah, he's a smooth operator. He is. 543 00:34:19,560 --> 00:34:22,080 Speaker 1: You know, you say, oh, okay, we're all fallible, we 544 00:34:22,080 --> 00:34:25,279 Speaker 1: all and you want to sympathize with him. Except you 545 00:34:25,760 --> 00:34:28,400 Speaker 1: if you were running a restaurant and we ran a 546 00:34:28,400 --> 00:34:32,160 Speaker 1: foul of one of Newsome's mandates, you don't get to say, well, 547 00:34:32,200 --> 00:34:34,600 Speaker 1: we made a mistake when we had that reservation for 548 00:34:34,640 --> 00:34:37,319 Speaker 1: twelve people, and no, you get a fine, you get 549 00:34:37,320 --> 00:34:40,560 Speaker 1: shut down, you get punished. He just gets to say, oh, 550 00:34:40,600 --> 00:34:43,160 Speaker 1: you know, we're all human. But I'd also note that 551 00:34:43,200 --> 00:34:45,880 Speaker 1: even his takeaway here is wrong. I don't have a 552 00:34:45,880 --> 00:34:49,920 Speaker 1: problem with Gavin Newsom going to French Laundry, by the way, 553 00:34:50,600 --> 00:34:54,920 Speaker 1: considered by some the fanciest and finest restaurant in America. 554 00:34:54,960 --> 00:34:58,000 Speaker 1: Actually it's Thomas Keller's flagship place up in Napa. I 555 00:34:58,040 --> 00:35:01,279 Speaker 1: remember I tried to go there over ten years ago, 556 00:35:01,560 --> 00:35:03,920 Speaker 1: and I think they told me there was a reservation 557 00:35:04,040 --> 00:35:07,280 Speaker 1: list stretching back six months or something like that, and 558 00:35:07,520 --> 00:35:10,000 Speaker 1: basically no chance. Kid. You know, I'd saved up all 559 00:35:10,000 --> 00:35:11,759 Speaker 1: my pennies from my government work. I just wanted to 560 00:35:11,800 --> 00:35:15,800 Speaker 1: go there as a culinary you know, a culinary special treat. 561 00:35:16,320 --> 00:35:20,000 Speaker 1: Couldn't do it. But French Laundry is a great restaurant, true, 562 00:35:20,080 --> 00:35:22,239 Speaker 1: very very expensive. Is it worth the enormous fee? I 563 00:35:22,239 --> 00:35:25,120 Speaker 1: don't know, but that's for you to decide. Point here being, 564 00:35:25,320 --> 00:35:27,360 Speaker 1: I got no problem with Gavin Newsom going to a 565 00:35:27,800 --> 00:35:30,719 Speaker 1: friend's fiftieth birthday party. Good for him. I got a 566 00:35:30,719 --> 00:35:34,320 Speaker 1: problem with Gavin Newsom walking around telling everybody else you 567 00:35:34,640 --> 00:35:38,319 Speaker 1: can't go to your friend or dad or you know, 568 00:35:38,880 --> 00:35:42,760 Speaker 1: mom or co workers fiftieth birthday party. Can't do that, sorry, 569 00:35:42,840 --> 00:35:47,759 Speaker 1: not allowed, government mandate. Too dangerous, too dangerous. That's what 570 00:35:47,840 --> 00:35:52,120 Speaker 1: they tell us, that's what they say. Well, do as 571 00:35:52,160 --> 00:35:54,480 Speaker 1: I do, do as I say, not as I do. 572 00:35:54,760 --> 00:35:58,920 Speaker 1: Is really now a mantra for democrats empower during COVID, 573 00:35:59,000 --> 00:36:02,560 Speaker 1: isn't it? Just like they enjoy the authority but they 574 00:36:02,600 --> 00:36:06,239 Speaker 1: don't want their responsibility. Thanks for listening to the bus 575 00:36:06,520 --> 00:36:10,319 Speaker 1: and show podcasts. Remember to subscribe on Apple podcasts, the 576 00:36:10,400 --> 00:36:15,520 Speaker 1: iHeartRadio app, or wherever you get your podcasts. Que all 577 00:36:15,640 --> 00:36:20,160 Speaker 1: the hysteria out there now over how if Trump doesn't 578 00:36:20,200 --> 00:36:23,400 Speaker 1: just hand over the keys to the White House tomorrow, 579 00:36:23,880 --> 00:36:27,160 Speaker 1: we're all gonna die of COVID? Because of the delay. 580 00:36:27,880 --> 00:36:30,800 Speaker 1: Oh my gosh, right, I mean, what they've used COVID 581 00:36:30,840 --> 00:36:33,480 Speaker 1: for so many things. Why not have this be this 582 00:36:33,719 --> 00:36:41,120 Speaker 1: secret to convincing everybody that Trump's delay is costing lives 583 00:36:41,120 --> 00:36:43,680 Speaker 1: his delay and conceding that's really what this is all about. 584 00:36:44,280 --> 00:36:48,799 Speaker 1: You're hearing a lot of this of this now. Joe 585 00:36:48,880 --> 00:36:53,080 Speaker 1: Biden's out there, He's giving his team's talking points, and 586 00:36:53,080 --> 00:36:56,400 Speaker 1: then the media will reflect those talking points back to 587 00:36:56,480 --> 00:36:59,560 Speaker 1: him with questions that are effectively given everything that you've 588 00:36:59,600 --> 00:37:04,040 Speaker 1: said is true, how awful is Trump really? And what 589 00:37:04,160 --> 00:37:06,760 Speaker 1: should we do to continue to talk about his awfulness 590 00:37:06,760 --> 00:37:09,360 Speaker 1: in the press. But first, let's start with what Joe's 591 00:37:09,360 --> 00:37:14,120 Speaker 1: contention is. Here. Here's Joe Biden, no joke, no joke 592 00:37:15,120 --> 00:37:20,759 Speaker 1: period period. I mean, I'm just here saying stuff that 593 00:37:20,880 --> 00:37:23,719 Speaker 1: people tell me to say, and I've been doing it 594 00:37:23,800 --> 00:37:28,000 Speaker 1: for forty years. Play clip one. It's great news that 595 00:37:28,120 --> 00:37:31,759 Speaker 1: Maderna and Fiser each come up with vaccines that are 596 00:37:31,760 --> 00:37:35,840 Speaker 1: in excessive ninety percent effectiveness and getting the vaccine and 597 00:37:35,920 --> 00:37:40,399 Speaker 1: a vaccination, though, are two different things. Everyone on our 598 00:37:40,440 --> 00:37:43,680 Speaker 1: Call today, in our Zoom Today, agreed that the sooner 599 00:37:43,719 --> 00:37:47,520 Speaker 1: we have access to the administration's distribution plan the sooner 600 00:37:47,560 --> 00:37:52,239 Speaker 1: this transition would be smoothly move forward. And you know, 601 00:37:52,440 --> 00:37:55,000 Speaker 1: as we battle COVID well else to make sure the 602 00:37:55,080 --> 00:37:58,920 Speaker 1: business and workers have the tools, the resources, the national 603 00:37:59,000 --> 00:38:03,040 Speaker 1: guidance and health and safety standards to operate safely. And 604 00:38:03,160 --> 00:38:06,080 Speaker 1: we can do that. We can bring Democrats from republic 605 00:38:06,200 --> 00:38:09,200 Speaker 1: Is together, work with business and labor to deliver those 606 00:38:09,280 --> 00:38:13,840 Speaker 1: necessary resources. And for millions of Americans who've lost hours 607 00:38:13,840 --> 00:38:17,160 Speaker 1: and wages or have lost their jobs, we all agreed 608 00:38:17,280 --> 00:38:22,560 Speaker 1: on our call that we can deliver immediate relief. You know, 609 00:38:22,600 --> 00:38:25,160 Speaker 1: it would help in delivering immediate relief if Nancy Pelosi 610 00:38:25,200 --> 00:38:29,520 Speaker 1: stopped holding relief hostage to her outlandish demands to bail 611 00:38:29,560 --> 00:38:32,200 Speaker 1: out cities that were running up huge debts even before 612 00:38:32,239 --> 00:38:37,040 Speaker 1: the COVID crisis. But he's not going to talk about that, No. Instead, 613 00:38:37,080 --> 00:38:39,120 Speaker 1: what you get from Joe Biden is, we just want 614 00:38:39,120 --> 00:38:42,200 Speaker 1: to know what their vaccine rollout plan is, man. We 615 00:38:42,520 --> 00:38:46,640 Speaker 1: just want to know what's going on with that one 616 00:38:46,680 --> 00:38:50,200 Speaker 1: issue with it. We all understand what that would turn into. Right, 617 00:38:50,760 --> 00:38:53,759 Speaker 1: They're saying they want to know the vaccine rollout plan 618 00:38:54,239 --> 00:38:57,399 Speaker 1: so that there can be a smoother transition and keep 619 00:38:57,400 --> 00:38:59,920 Speaker 1: in mind that Trump hasn't even accepted that there is 620 00:39:00,680 --> 00:39:04,839 Speaker 1: necessarily there could be, but a transition coming. And that's 621 00:39:04,880 --> 00:39:07,200 Speaker 1: the part of this that they're not going to that's 622 00:39:07,200 --> 00:39:09,680 Speaker 1: not going to shift, that's not going to change. But 623 00:39:10,520 --> 00:39:12,520 Speaker 1: what we all know they would do the moment that 624 00:39:12,600 --> 00:39:16,000 Speaker 1: the Trump team told them what the transition plan and 625 00:39:16,120 --> 00:39:20,600 Speaker 1: what the vaccine plans are, they would start criticizing it 626 00:39:20,640 --> 00:39:26,200 Speaker 1: publicly trashing it. Oh my gosh, Trump is just putting 627 00:39:26,239 --> 00:39:33,520 Speaker 1: forward this vaccine distribution plan that privileges you know, white cisgender, 628 00:39:33,640 --> 00:39:37,040 Speaker 1: patriarchy or something. You know, there would be some oh 629 00:39:37,120 --> 00:39:40,480 Speaker 1: my gosh, you know, oh it's only the vaccines only 630 00:39:40,560 --> 00:39:44,040 Speaker 1: for the rich. What it's going to nursing homes and 631 00:39:44,080 --> 00:39:47,640 Speaker 1: healthcare providers? Oh, you know, whatever. It may be, right, 632 00:39:48,719 --> 00:39:51,799 Speaker 1: that's that's what they're gonna tell us. So it just 633 00:39:52,000 --> 00:39:56,240 Speaker 1: opens up all kinds of criticism. They got plenty of time. Remember, 634 00:39:56,280 --> 00:39:58,960 Speaker 1: they're gonna be handed a plan if there is a 635 00:39:59,000 --> 00:40:02,160 Speaker 1: transition of what vaccine is supposed to be. But really 636 00:40:02,160 --> 00:40:04,480 Speaker 1: this is all them saying, this is all the storyline 637 00:40:05,560 --> 00:40:08,800 Speaker 1: of we would do a better job, and any problems 638 00:40:08,800 --> 00:40:11,600 Speaker 1: in the vaccine distribution that do come up if there's 639 00:40:11,600 --> 00:40:16,759 Speaker 1: a Biden presidency will immediately be blamed upon Trump and 640 00:40:16,920 --> 00:40:20,600 Speaker 1: his unwillingness to pass the plans to them now so 641 00:40:20,640 --> 00:40:22,959 Speaker 1: they can come up with their fixes to the plan, 642 00:40:23,600 --> 00:40:26,880 Speaker 1: even though there's zero reason to believe that Joe Biden 643 00:40:26,920 --> 00:40:30,000 Speaker 1: and the clowns that he is filling in and slots 644 00:40:30,000 --> 00:40:33,600 Speaker 1: around him already would be better at this no reason 645 00:40:33,640 --> 00:40:38,320 Speaker 1: to believe it whatsoever. Who just created the public private 646 00:40:38,360 --> 00:40:43,480 Speaker 1: partnership to get us to this stage? Who created that? 647 00:40:43,480 --> 00:40:46,400 Speaker 1: That's right, it was the Trump administration. Right, it was 648 00:40:46,480 --> 00:40:50,360 Speaker 1: President Trump that came up with this Operation warp Speed 649 00:40:50,400 --> 00:40:53,760 Speaker 1: with his advisors. I understand marshaling the experience and the 650 00:40:53,800 --> 00:40:56,719 Speaker 1: knowledge of experts around him, but they were able to 651 00:40:56,760 --> 00:40:59,399 Speaker 1: do that, and you'll notice they get no benefit as 652 00:40:59,400 --> 00:41:03,160 Speaker 1: a result. They have there's no willingness to say, wow, 653 00:41:03,520 --> 00:41:08,000 Speaker 1: good job Trump and team. You guys probably know what 654 00:41:08,040 --> 00:41:10,960 Speaker 1: you're doing. Let us know about this vaccine plan when 655 00:41:10,960 --> 00:41:12,520 Speaker 1: you can, because we want to make sure we do 656 00:41:12,560 --> 00:41:16,120 Speaker 1: a great job of implementing it when Joe Biden takes over. 657 00:41:16,200 --> 00:41:18,359 Speaker 1: I'm talking about from the perspective of the Biden team, 658 00:41:18,480 --> 00:41:23,040 Speaker 1: that's that would be a reasonable position. No, their position is, oh, 659 00:41:23,040 --> 00:41:26,720 Speaker 1: this is an outrage. He's not conceding, he's not giving 660 00:41:26,800 --> 00:41:28,839 Speaker 1: us what we need, he's not doing what we tell 661 00:41:28,880 --> 00:41:33,520 Speaker 1: him to do. It's terrible, it's awful, and the media is, 662 00:41:33,520 --> 00:41:37,040 Speaker 1: of course playing along with the whole thing. Here's a 663 00:41:37,239 --> 00:41:39,799 Speaker 1: NBC News reporter that I mean, this is a this 664 00:41:39,840 --> 00:41:44,719 Speaker 1: is a great question, because this is a reminder you 665 00:41:44,719 --> 00:41:49,680 Speaker 1: could call this, you know, the Obama's the Obama administration 666 00:41:49,880 --> 00:41:52,759 Speaker 1: era of journalism questions, right, this is the kind of 667 00:41:52,800 --> 00:41:56,200 Speaker 1: stuff you'd see when they'd ask Obama, sir. I know 668 00:41:56,239 --> 00:41:57,919 Speaker 1: this is going to be a tough one, but what's 669 00:41:57,960 --> 00:42:00,600 Speaker 1: it like to have to deal with the evil and 670 00:42:00,680 --> 00:42:04,880 Speaker 1: stupid Republicans when you, yourself are a super genius that 671 00:42:05,000 --> 00:42:08,560 Speaker 1: everybody should bow down to and beg forgiveness from for 672 00:42:08,760 --> 00:42:12,240 Speaker 1: just not being as awesome as you. That was ninety 673 00:42:12,280 --> 00:42:17,440 Speaker 1: five percent of mainstream journals for eight years. It was 674 00:42:17,480 --> 00:42:19,719 Speaker 1: it was embarrassing, It was debasing. I mean, just as 675 00:42:19,719 --> 00:42:23,759 Speaker 1: a human being to be so so just to be 676 00:42:23,800 --> 00:42:28,839 Speaker 1: always supplicating, you know, to be so just toady's all 677 00:42:28,880 --> 00:42:30,879 Speaker 1: the time. But anyway, you're going to see a lot 678 00:42:30,920 --> 00:42:33,560 Speaker 1: of that if there if there is a Biden administration 679 00:42:33,760 --> 00:42:38,080 Speaker 1: and here's NBC NBC reporter who's doing a great example 680 00:42:38,160 --> 00:42:40,960 Speaker 1: of what you could expect for Biden, same kind of 681 00:42:40,960 --> 00:42:43,160 Speaker 1: treatment plate. Too good to see you. I'm gonna start 682 00:42:43,160 --> 00:42:45,840 Speaker 1: with a question about your pandemic planning and then a 683 00:42:45,920 --> 00:42:48,960 Speaker 1: question about your economic plan. You spoke about the need 684 00:42:49,000 --> 00:42:53,759 Speaker 1: to access the outgoing administration's COVID vaccine distribution plans. What 685 00:42:53,800 --> 00:42:55,800 Speaker 1: do you see as the biggest threat to your transition 686 00:42:55,880 --> 00:43:00,120 Speaker 1: right now? Given President Trump's unprecedented attempt to obstruct and 687 00:43:00,200 --> 00:43:03,759 Speaker 1: delay a smooth transfer of power, more people may die. 688 00:43:04,520 --> 00:43:10,360 Speaker 1: Isn't that amazing? Think about all the ways that he showed, 689 00:43:10,360 --> 00:43:13,279 Speaker 1: the editorial line that he's taking in that question, the 690 00:43:13,480 --> 00:43:18,160 Speaker 1: unprecedented obstruction that's going on. What are the threats to 691 00:43:18,280 --> 00:43:22,200 Speaker 1: you saving so many lives? Joe Biden is an imbecile. 692 00:43:22,840 --> 00:43:26,000 Speaker 1: He is not a smart person. He does not have 693 00:43:26,120 --> 00:43:31,040 Speaker 1: good judgment. He is not knowledgeable about anything that helps 694 00:43:31,200 --> 00:43:34,680 Speaker 1: the public with the policies that he implements. I just 695 00:43:34,840 --> 00:43:38,480 Speaker 1: want to scream, no one thinks this guy's impressive, but 696 00:43:38,480 --> 00:43:41,600 Speaker 1: now they're all going to pretend like he is. Democrats, 697 00:43:41,719 --> 00:43:44,160 Speaker 1: until five minutes ago, knew that he was a buffoon, 698 00:43:44,239 --> 00:43:46,600 Speaker 1: but he'd been around forever, and you know, he was 699 00:43:46,640 --> 00:43:49,680 Speaker 1: there to hold Obama's coat for eight years, and now 700 00:43:49,719 --> 00:43:52,120 Speaker 1: all of a sudden we are supposed to think that 701 00:43:52,239 --> 00:43:56,120 Speaker 1: he's the dear leader. Oh, he's amazing, He's going to 702 00:43:56,200 --> 00:44:00,000 Speaker 1: save us. It wasn't my question. That question was perfect 703 00:44:00,560 --> 00:44:04,440 Speaker 1: given how awful and horrible Trump is. What are you 704 00:44:04,440 --> 00:44:06,640 Speaker 1: gonna do to save more lives in the face of 705 00:44:06,680 --> 00:44:11,440 Speaker 1: his efforts to kill more people? Because he's awful. Journos, baby, 706 00:44:11,920 --> 00:44:14,600 Speaker 1: that's how they do it, that's how they get down. 707 00:44:15,200 --> 00:44:18,560 Speaker 1: And Biden's really know better. I mean Biden, of course 708 00:44:18,600 --> 00:44:22,839 Speaker 1: I love he goes. People will die. Yeah, sure, that's right. 709 00:44:22,840 --> 00:44:25,719 Speaker 1: Everyone's gonna die because Trump. I'm just gonna tell you this. 710 00:44:26,320 --> 00:44:30,000 Speaker 1: You know how the anti war movement disappeared under Obama? 711 00:44:30,120 --> 00:44:31,640 Speaker 1: I mean there were a couple of and hey, at 712 00:44:31,719 --> 00:44:33,879 Speaker 1: least they're consistent. There were a couple of code pin 713 00:44:33,960 --> 00:44:37,879 Speaker 1: crazy ladies running around occasionally during the Obama administration. They 714 00:44:37,880 --> 00:44:40,640 Speaker 1: had no institutional support. The editorial page of the New 715 00:44:40,680 --> 00:44:44,800 Speaker 1: York Times CNA nothing. People don't even know that Obama 716 00:44:44,880 --> 00:44:47,760 Speaker 1: just to look like he wasn't some whimp on national security, 717 00:44:47,800 --> 00:44:50,840 Speaker 1: he didn't know anything. Surged over one hundred thousand troops 718 00:44:50,840 --> 00:44:54,719 Speaker 1: in Afghanistan and announced or withdrawal at the same time 719 00:44:54,760 --> 00:44:57,200 Speaker 1: of the surge. So the Taliban got to sit there 720 00:44:57,200 --> 00:44:59,480 Speaker 1: and basically look at the calendars and look at the 721 00:44:59,480 --> 00:45:01,879 Speaker 1: clocks and like, Okay, well we fight this thing out 722 00:45:01,920 --> 00:45:04,200 Speaker 1: for a while, but we keep some in reserve. We 723 00:45:04,320 --> 00:45:07,200 Speaker 1: go across the border to Pakistan, and we just waited out. 724 00:45:08,480 --> 00:45:10,640 Speaker 1: That's exactly what they did. But we lost a lot 725 00:45:10,680 --> 00:45:14,560 Speaker 1: of particularly a lot of brave marines during that period fighting. 726 00:45:15,280 --> 00:45:18,280 Speaker 1: Childhood friend of mine was there in Hellman Province and 727 00:45:18,320 --> 00:45:20,800 Speaker 1: I remember, you know, we came back talking about this stuff. 728 00:45:21,040 --> 00:45:23,800 Speaker 1: It was nasty fighting going on there. We lost a 729 00:45:23,840 --> 00:45:27,239 Speaker 1: lot of marines. Media didn't even talk about it. I 730 00:45:27,280 --> 00:45:29,000 Speaker 1: mean they had covered a little oh there's a little 731 00:45:29,000 --> 00:45:30,880 Speaker 1: bit of a troop thing going on in Afghanistan. But 732 00:45:31,719 --> 00:45:34,440 Speaker 1: we lost more soldiers in Afghanistan under Obama than we 733 00:45:34,440 --> 00:45:36,920 Speaker 1: did under Bush. Does anyone even know that? Does anyone 734 00:45:36,920 --> 00:45:40,200 Speaker 1: even understand that? No? Of course not, because the anti 735 00:45:40,239 --> 00:45:45,120 Speaker 1: war movement disappeared, Because the anti war left is disingenuous, 736 00:45:45,600 --> 00:45:47,319 Speaker 1: right there, really just a bunch of marx Is trying 737 00:45:47,320 --> 00:45:50,880 Speaker 1: to undermine US foreign policy abroad. If they had been consistent. 738 00:45:50,920 --> 00:45:52,799 Speaker 1: I'd say, well, good for them, because I do think 739 00:45:52,840 --> 00:45:55,680 Speaker 1: the Bush administration pushed for too much conflict in too 740 00:45:55,760 --> 00:45:58,719 Speaker 1: many places. But for them, it's really just a tool 741 00:45:58,760 --> 00:46:00,800 Speaker 1: for the anti war left. It's a tool of politics. 742 00:46:00,840 --> 00:46:03,080 Speaker 1: The pretense that they care so much about our soldiers, 743 00:46:03,080 --> 00:46:05,719 Speaker 1: what they care about humanitarian losses in these countries. They 744 00:46:05,760 --> 00:46:09,280 Speaker 1: really don't. It's about what works as a political instrument 745 00:46:09,320 --> 00:46:12,120 Speaker 1: of bludgeoning the other side. And then when Obama is 746 00:46:12,160 --> 00:46:14,120 Speaker 1: in office, Oh no, we gotta back off this and 747 00:46:13,960 --> 00:46:16,600 Speaker 1: now war now Libyan war is fine. Now you know, 748 00:46:16,640 --> 00:46:18,920 Speaker 1: whatever we gotta do is fine. You're gonna see the 749 00:46:18,920 --> 00:46:21,400 Speaker 1: same thing with COVID. Be prepared for that. It's going 750 00:46:21,480 --> 00:46:23,759 Speaker 1: to be disgusting. Do you think CNN is gonna have 751 00:46:23,800 --> 00:46:27,080 Speaker 1: a COVID death tracker up if Biden takes office? Every day? 752 00:46:27,120 --> 00:46:28,840 Speaker 1: How many deaths, how many deaths? How many deaths do 753 00:46:28,840 --> 00:46:32,000 Speaker 1: you think that's going to happen? Oh, I want to 754 00:46:32,000 --> 00:46:34,560 Speaker 1: make a prediction right now, all of a sudden, the 755 00:46:34,600 --> 00:46:36,840 Speaker 1: deaths from COVID will just be a thing that happens. 756 00:46:36,880 --> 00:46:40,360 Speaker 1: It's sad, but no, it's not any one person's fault, 757 00:46:40,400 --> 00:46:44,640 Speaker 1: which is true, by the way, but that mentality has 758 00:46:44,640 --> 00:46:49,680 Speaker 1: been completely in reverse. Now it's all Trump's fault. Every 759 00:46:49,680 --> 00:46:52,680 Speaker 1: death is Trump's fault, and they even go so far 760 00:46:52,800 --> 00:46:59,080 Speaker 1: as to lie to you about the vaccines mistrust in society. 761 00:46:59,120 --> 00:47:02,319 Speaker 1: Here's Joe Biden self saying in play clip seven, it's 762 00:47:02,360 --> 00:47:06,799 Speaker 1: important that people who are in the greatest need get it. 763 00:47:06,800 --> 00:47:10,319 Speaker 1: I wouldn't hesitate to get the vaccine, but I also 764 00:47:10,360 --> 00:47:16,400 Speaker 1: want to set an example. But I wouldn't hesitate to 765 00:47:16,400 --> 00:47:19,080 Speaker 1: get the vaccine. And if in fact doctor doctor Fauci 766 00:47:19,160 --> 00:47:24,200 Speaker 1: and these two organizations, whether it's Maderna or Feiser, who 767 00:47:24,200 --> 00:47:29,000 Speaker 1: have been extremely responsible, conclude that it is safe and 768 00:47:29,719 --> 00:47:32,600 Speaker 1: able to be done. Look, the only reason people questioned 769 00:47:32,640 --> 00:47:35,160 Speaker 1: the vaccine now is because of Donald Trump. That's the 770 00:47:35,200 --> 00:47:37,719 Speaker 1: reason why people are questioning the vaccine because all the 771 00:47:37,760 --> 00:47:40,680 Speaker 1: things he says and doesn't say. It's a truthfulness and 772 00:47:40,800 --> 00:47:43,799 Speaker 1: not truthful to the exaggerations. I think we're on a 773 00:47:43,840 --> 00:47:46,560 Speaker 1: clear path now, we're in a clear path or the 774 00:47:46,600 --> 00:47:51,040 Speaker 1: international community and national leaders in the scientific community have 775 00:47:51,120 --> 00:47:55,720 Speaker 1: focused on these two vaccines. They appear to be ready 776 00:47:55,840 --> 00:47:59,080 Speaker 1: for prime time, ready to be used. And if that 777 00:47:59,440 --> 00:48:03,160 Speaker 1: continues on those roads, I would take the vaccine. The 778 00:48:03,239 --> 00:48:08,720 Speaker 1: only reason that people distrust the vaccine is Donald Trump 779 00:48:09,320 --> 00:48:13,879 Speaker 1: leaves out that Joe Biden and Kamala Harris and other 780 00:48:13,960 --> 00:48:20,920 Speaker 1: Democrats and the media became temporary and situational anti vaxers 781 00:48:21,400 --> 00:48:25,960 Speaker 1: for months leading up to the election because they wanted 782 00:48:26,000 --> 00:48:32,200 Speaker 1: people terrified and anything, any lie, any tool, any artifice 783 00:48:33,200 --> 00:48:38,000 Speaker 1: that they had to use to defeat Trump was okay, 784 00:48:38,080 --> 00:48:43,120 Speaker 1: including spreading anti vax nonsense as if the Trump FDA 785 00:48:43,280 --> 00:48:48,080 Speaker 1: would also be able to collude with Fizer and Moderna 786 00:48:48,239 --> 00:48:51,600 Speaker 1: to put out an unsafe or ineffective vaccine. You want 787 00:48:51,600 --> 00:48:54,520 Speaker 1: to talking about a conspiracy, You want to talk about 788 00:48:55,160 --> 00:48:59,360 Speaker 1: no evidence for something. But Kamala Harris and Joe Biden 789 00:48:59,640 --> 00:49:04,200 Speaker 1: were the one spreading that poison for months, and now 790 00:49:04,320 --> 00:49:08,239 Speaker 1: they blame Trump for the poison that they spread. They 791 00:49:08,440 --> 00:49:11,960 Speaker 1: created a perception among their followers who it's, you know, 792 00:49:11,920 --> 00:49:13,839 Speaker 1: and we're going to see again, who's the real cult? 793 00:49:13,960 --> 00:49:16,600 Speaker 1: Is it the Democrats or Republicans? Trust me, it's Democrats. 794 00:49:16,640 --> 00:49:20,920 Speaker 1: Remember the Obama era, they worshiped the guy was absurd, 795 00:49:22,200 --> 00:49:25,000 Speaker 1: but they created the Democrats created the perception that you 796 00:49:25,040 --> 00:49:27,319 Speaker 1: couldn't trust the Trump FDA, and now they're going to 797 00:49:27,360 --> 00:49:31,440 Speaker 1: turn around and say, oh gosh, look at this. People 798 00:49:31,480 --> 00:49:34,680 Speaker 1: don't trust Trump among our supporters in particular, We're going 799 00:49:34,719 --> 00:49:37,080 Speaker 1: to have to clean up this mess. I mean, they're 800 00:49:37,120 --> 00:49:40,080 Speaker 1: like the people that light a fire. That they're the 801 00:49:40,120 --> 00:49:43,600 Speaker 1: ones that commit arson, and then they complain when the 802 00:49:43,640 --> 00:49:46,799 Speaker 1: firefighters arrive. Oh you guys haven't put out that fire yet. 803 00:49:46,840 --> 00:49:49,680 Speaker 1: Oh gosh, you know, really not doing a good enough 804 00:49:49,760 --> 00:49:53,880 Speaker 1: job here. They're the ones that started this. It's because 805 00:49:53,920 --> 00:49:58,759 Speaker 1: of them. Do you think they'll ever admit that. No. Never, 806 00:49:58,880 --> 00:50:02,480 Speaker 1: of course that's completely absurd. They won't admit that. No. 807 00:50:02,680 --> 00:50:04,960 Speaker 1: So much easier to just continue to play this game 808 00:50:05,760 --> 00:50:09,640 Speaker 1: and lie to people. And one of the big lines 809 00:50:09,640 --> 00:50:13,680 Speaker 1: is that Joe Biden represents some kind of new era 810 00:50:13,800 --> 00:50:20,200 Speaker 1: of honor in our politics. Joe Biden is a slimy, feckless, reckless, 811 00:50:20,400 --> 00:50:27,799 Speaker 1: self interested DC swamp creature. That's just the truth. You're 812 00:50:27,880 --> 00:50:30,520 Speaker 1: in the Freedom Hunt. This is the Buck Sex and 813 00:50:30,600 --> 00:50:38,719 Speaker 1: Show podcast. It's a quick note on these Georgia Senate runoffs. 814 00:50:39,680 --> 00:50:45,480 Speaker 1: Who are Warnock and us Off the two Democrat candidates here? 815 00:50:45,480 --> 00:50:49,600 Speaker 1: What should we know about them? There's this plan that 816 00:50:49,600 --> 00:50:52,359 Speaker 1: we're seeing underway right now where Californians are saying they're 817 00:50:52,360 --> 00:50:56,200 Speaker 1: gonna move to Georgia. I guess they're going to establish 818 00:50:56,400 --> 00:50:59,680 Speaker 1: some form of residency there. They've got some way they 819 00:50:59,680 --> 00:51:03,080 Speaker 1: think they're going to be able to do this. They're 820 00:51:03,239 --> 00:51:07,520 Speaker 1: looking to change their residences, moved to Georgia and vote 821 00:51:08,400 --> 00:51:11,960 Speaker 1: in order to get these two Democrats elected. Let me 822 00:51:12,000 --> 00:51:14,279 Speaker 1: say right now, friends, I've been advocating for this for 823 00:51:14,280 --> 00:51:17,480 Speaker 1: a while. I want conservatives to pick a city. We 824 00:51:17,520 --> 00:51:21,160 Speaker 1: should create a nationwide movement. Pick a city that we 825 00:51:21,200 --> 00:51:26,120 Speaker 1: are going to take over politically. So whether it's Dallas 826 00:51:26,239 --> 00:51:29,880 Speaker 1: or Tampa, or you name it, we show up. It 827 00:51:29,920 --> 00:51:33,560 Speaker 1: has to be in a red Ish state. We show 828 00:51:33,680 --> 00:51:36,640 Speaker 1: up and we say, all right, I want, you know, 829 00:51:37,160 --> 00:51:42,160 Speaker 1: three hundred four hundred thousand Republicans to all converge in 830 00:51:42,200 --> 00:51:44,919 Speaker 1: this one place, and we're going to flip this city 831 00:51:45,000 --> 00:51:47,320 Speaker 1: red and we're going to run it like a conservative city. 832 00:51:47,560 --> 00:51:49,319 Speaker 1: I don't know what we call this project, but we 833 00:51:49,360 --> 00:51:52,120 Speaker 1: need to do it. It needs to happen because right 834 00:51:52,120 --> 00:51:54,400 Speaker 1: now we don't have any cities of any real size, 835 00:51:55,239 --> 00:52:00,440 Speaker 1: which is unacceptable, but because also think about the example. 836 00:52:00,480 --> 00:52:03,560 Speaker 1: We could set a city where police are supported, where 837 00:52:03,600 --> 00:52:06,840 Speaker 1: public services are efficient, but also taxes are minimal. I mean, 838 00:52:06,960 --> 00:52:12,200 Speaker 1: think about what we could do anyway. Here's John ass Off, 839 00:52:12,719 --> 00:52:15,480 Speaker 1: supposed to be smister, mister nice guy. He does remind 840 00:52:15,480 --> 00:52:19,360 Speaker 1: me of that Obama era Obamacare pajama boy meme. But 841 00:52:19,480 --> 00:52:24,120 Speaker 1: here's John Assoff, who the the mattaw watching Chris Hayes 842 00:52:24,239 --> 00:52:28,600 Speaker 1: loving MSNBC squad. They think this guy's fantastic. If you're 843 00:52:28,600 --> 00:52:31,200 Speaker 1: a leftist, they love us Off. Is he a nice guy? 844 00:52:31,680 --> 00:52:35,040 Speaker 1: Running in Georgia for the senatecy play a team. We 845 00:52:35,160 --> 00:52:38,880 Speaker 1: need to send the message this year. We need to 846 00:52:38,920 --> 00:52:42,360 Speaker 1: send the message that if you indulge this kind of politics, 847 00:52:42,600 --> 00:52:45,240 Speaker 1: you're not just getna get beat You're gonna get beaten 848 00:52:45,320 --> 00:52:52,640 Speaker 1: so bad in public. Because we have had enough, absolutely enough, 849 00:52:53,200 --> 00:52:55,520 Speaker 1: And what we are getting from Donald Trump and his 850 00:52:55,719 --> 00:53:00,880 Speaker 1: fellow travelers right now, never show your face in public 851 00:53:00,960 --> 00:53:05,840 Speaker 1: again for the crime of supporting Donald Trump. That's what 852 00:53:05,920 --> 00:53:09,360 Speaker 1: they're telling us. They want to never show your face 853 00:53:09,680 --> 00:53:12,840 Speaker 1: in public again. Oh yeah, I can feel all the 854 00:53:13,320 --> 00:53:16,560 Speaker 1: unity and the healing, can't you. And here's Democrat candidate 855 00:53:16,640 --> 00:53:20,520 Speaker 1: Raphael Warnock play seventeen. I don't no matter what happens 856 00:53:20,600 --> 00:53:22,960 Speaker 1: next month, more than a third of the nation that 857 00:53:23,000 --> 00:53:25,600 Speaker 1: would go along with this is reason to be afraid. 858 00:53:26,960 --> 00:53:32,200 Speaker 1: America needs to repent for its worship of whiteness on 859 00:53:32,360 --> 00:53:40,520 Speaker 1: full display. Repent America for your worship of whiteness. These 860 00:53:40,600 --> 00:53:44,279 Speaker 1: are the Democrat candidates here, Ausoffen Warnock. These are the 861 00:53:44,320 --> 00:53:48,399 Speaker 1: things that they say, and they are the ones that 862 00:53:48,480 --> 00:53:52,200 Speaker 1: the entire Democrat apparatus is going to go through, go 863 00:53:52,280 --> 00:53:57,160 Speaker 1: to extreme measures to do everything in their power to 864 00:53:57,320 --> 00:53:59,560 Speaker 1: make sure that they win, so that there can be 865 00:53:59,640 --> 00:54:02,719 Speaker 1: a Democrat majority in the House, the Senate, and perhaps yes, 866 00:54:02,760 --> 00:54:06,640 Speaker 1: even the presidency in the hands of Joe Biden. That 867 00:54:07,760 --> 00:54:11,680 Speaker 1: is a recipe for a twenty twenty one that could 868 00:54:11,680 --> 00:54:15,480 Speaker 1: be even worse, believe it or not than twenty twenty. 869 00:54:15,480 --> 00:54:18,960 Speaker 1: Thanks for listening to The Bus Sesson Show podcasts. Remember 870 00:54:19,000 --> 00:54:22,359 Speaker 1: to subscribe on Apple Podcasts, at the iHeartRadio app, or 871 00:54:22,360 --> 00:54:26,680 Speaker 1: wherever you get your podcasts. The fight is still on. 872 00:54:27,040 --> 00:54:30,040 Speaker 1: This election is not yet over, despite what you're hearing 873 00:54:30,200 --> 00:54:33,359 Speaker 1: in so many different places in the media. Let's hear 874 00:54:33,480 --> 00:54:36,600 Speaker 1: from the campaign right now. An advisor to the campaign, 875 00:54:36,719 --> 00:54:40,880 Speaker 1: senior strategic advisor, that is our friend Steve Cortez back 876 00:54:41,040 --> 00:54:43,120 Speaker 1: in the mix. Steve, thanks for making the time for 877 00:54:43,200 --> 00:54:45,759 Speaker 1: us I appreciate a bucket. You are very right when 878 00:54:45,800 --> 00:54:47,799 Speaker 1: I talk about this election, we must speak in the 879 00:54:47,920 --> 00:54:51,000 Speaker 1: present tense, because it is ongoing. Let's not be vold 880 00:54:51,040 --> 00:54:53,120 Speaker 1: in speaking of the past tense as though it is over. 881 00:54:53,440 --> 00:54:56,799 Speaker 1: Now you've got a roughly fifteen thousand I think it's 882 00:54:56,800 --> 00:55:00,239 Speaker 1: little less than that roughly fifteen thousand vote mar Rgin 883 00:55:00,280 --> 00:55:04,040 Speaker 1: of victory thus far, we call it a margin of separation, 884 00:55:04,160 --> 00:55:09,120 Speaker 1: perhaps for Joe Biden in in Georgia. We just found 885 00:55:09,160 --> 00:55:11,640 Speaker 1: twenty six hundred new votes just well, look, twenty six 886 00:55:11,719 --> 00:55:14,960 Speaker 1: hundred votes two for one going for Trump. Does this 887 00:55:15,000 --> 00:55:17,680 Speaker 1: begin to chip away at the Let's just move past 888 00:55:17,800 --> 00:55:21,920 Speaker 1: this and not audit and not recheck and not recount anything, Steve, 889 00:55:22,400 --> 00:55:24,759 Speaker 1: But it certainly does. You know, obviously, this is very 890 00:55:24,760 --> 00:55:27,240 Speaker 1: troubling that these votes are just happened to be missing 891 00:55:27,239 --> 00:55:30,400 Speaker 1: and suddenly got found, and that they overwhelmingly favored the president, 892 00:55:31,040 --> 00:55:33,560 Speaker 1: you know, forgiving you if I'm not shocked, right, sort 893 00:55:33,600 --> 00:55:35,680 Speaker 1: of like the police showing up in Casablanca and find 894 00:55:35,680 --> 00:55:38,279 Speaker 1: out while there's gambling going on at Ricks. And by 895 00:55:38,280 --> 00:55:41,080 Speaker 1: the way, the statistical case also backs up this anecdotal case. 896 00:55:41,160 --> 00:55:43,560 Speaker 1: When I mean the statistical case I'm staying. For example, 897 00:55:43,960 --> 00:55:46,000 Speaker 1: look at the state of Georgia and the rate of 898 00:55:46,080 --> 00:55:49,359 Speaker 1: rejection of mailed in ballots four years ago, when they 899 00:55:49,719 --> 00:55:52,640 Speaker 1: had about two hundred thousand mailed in ballots. In twenty sixteen, 900 00:55:52,640 --> 00:55:55,359 Speaker 1: which is a more normal rate before the pandemic, they 901 00:55:55,400 --> 00:55:57,640 Speaker 1: rejected three percent of all ballots that were mailed in. 902 00:55:57,719 --> 00:55:59,880 Speaker 1: They were even not registered voters, there was something in 903 00:56:00,040 --> 00:56:02,840 Speaker 1: valid about the ballot itself, it wasn't signed. Whatever the reason, 904 00:56:03,280 --> 00:56:06,680 Speaker 1: three percent were rejected. Now this time, one point three 905 00:56:06,800 --> 00:56:09,600 Speaker 1: million ballots in Georgia were mailed in, more than six 906 00:56:09,640 --> 00:56:13,360 Speaker 1: times the twenty sixteen told. That's not surprising given the pandemic. However, 907 00:56:13,480 --> 00:56:16,600 Speaker 1: here's what is surprising and more than surprising, I think 908 00:56:17,080 --> 00:56:19,320 Speaker 1: damning really of the vote totals and the validity of 909 00:56:19,440 --> 00:56:22,319 Speaker 1: vote tobles. That rate of rejection went down from three 910 00:56:22,360 --> 00:56:25,880 Speaker 1: percent all the way to point two four percent of 911 00:56:25,920 --> 00:56:29,040 Speaker 1: ballots were rejected. In other words, one twelfth the level 912 00:56:29,200 --> 00:56:32,040 Speaker 1: the percentage of ballants that we're rejected in twenty sixteen 913 00:56:32,080 --> 00:56:35,520 Speaker 1: were rejected this time, even though with such a mammoth increase, 914 00:56:35,640 --> 00:56:39,240 Speaker 1: over a million point one point one million more ballots 915 00:56:39,239 --> 00:56:42,080 Speaker 1: coming in. If anything, if there were a serious vetting 916 00:56:42,080 --> 00:56:44,240 Speaker 1: of the voting going on, we would expect, if anything, 917 00:56:44,239 --> 00:56:46,600 Speaker 1: that percentage to actually rise a book because you have 918 00:56:46,719 --> 00:56:48,799 Speaker 1: so many people doing it for the first time. The 919 00:56:48,880 --> 00:56:52,480 Speaker 1: fact is the percentage fell dramatically, and I believe the 920 00:56:52,520 --> 00:56:55,920 Speaker 1: complete void of vetting of votes and it wasn't contained 921 00:56:55,920 --> 00:56:58,399 Speaker 1: of Georgia. Similar thing happened in Pennsylvania. As a matter 922 00:56:58,400 --> 00:57:01,600 Speaker 1: of fact, the numbers are actually even more in Pennsylvania. 923 00:57:02,200 --> 00:57:05,480 Speaker 1: This indicates that a large share of these votes are 924 00:57:05,520 --> 00:57:07,759 Speaker 1: simply not valid, and the only way for us to 925 00:57:07,800 --> 00:57:10,480 Speaker 1: determine if they are is a serious audit, not just 926 00:57:10,520 --> 00:57:12,600 Speaker 1: a recount, not just sending them back to the machine, 927 00:57:12,800 --> 00:57:15,799 Speaker 1: but an actual hand audit of these results. And in 928 00:57:15,800 --> 00:57:17,680 Speaker 1: the case of Georgia, if we were to have the 929 00:57:17,720 --> 00:57:22,000 Speaker 1: same rejection rate as twenty sixteen, thirty nine thousand votes 930 00:57:22,160 --> 00:57:24,919 Speaker 1: would be rejected instead of the only three thousand that were. 931 00:57:25,480 --> 00:57:28,320 Speaker 1: Now where are we with the recount? And George of 932 00:57:28,360 --> 00:57:30,600 Speaker 1: the President has been tweeting about this. We know there 933 00:57:30,800 --> 00:57:33,760 Speaker 1: was some kind of recount, but he's not happy with 934 00:57:33,800 --> 00:57:36,040 Speaker 1: what's going on. Can you just tell us what is 935 00:57:36,040 --> 00:57:40,400 Speaker 1: the status of Georgia as of today? Right? Well, listen, 936 00:57:40,440 --> 00:57:42,640 Speaker 1: are the campaign is not happy with it, obviously, and 937 00:57:42,720 --> 00:57:45,000 Speaker 1: neither is the president because we're not having an honest 938 00:57:45,320 --> 00:57:47,520 Speaker 1: recount there. And this is particularly disappointed because we have 939 00:57:47,560 --> 00:57:51,200 Speaker 1: a supposedly Republican Secretary of State. Georgia, while it is 940 00:57:51,200 --> 00:57:54,640 Speaker 1: a swing state statewide, has been electing Republicans lately, so 941 00:57:54,680 --> 00:57:57,560 Speaker 1: we would expect better than this. But the unfortunate reality 942 00:57:57,680 --> 00:58:00,520 Speaker 1: is we know that the recounts had not been that 943 00:58:00,600 --> 00:58:02,920 Speaker 1: it has been a recount rather than an auditing. And 944 00:58:02,920 --> 00:58:05,479 Speaker 1: then that's again a crucial difference here. We're not saying 945 00:58:05,600 --> 00:58:07,680 Speaker 1: just put the numbers through the machine again. You know, 946 00:58:07,720 --> 00:58:09,200 Speaker 1: we realize that you're going to come up with a 947 00:58:09,280 --> 00:58:11,920 Speaker 1: very similar number there. You're gonna have a very tiny 948 00:58:11,920 --> 00:58:14,920 Speaker 1: sampling of just honest human error. You know, you'll change 949 00:58:14,960 --> 00:58:17,640 Speaker 1: a few hundred votes. That's normal for a just quote recount. 950 00:58:17,800 --> 00:58:19,720 Speaker 1: But we're talking about is an audit. And again, I 951 00:58:19,760 --> 00:58:22,800 Speaker 1: think an audit for very legitimate means. I think these 952 00:58:22,840 --> 00:58:27,280 Speaker 1: statistical case for the improbability of Joe Biden's win is 953 00:58:27,320 --> 00:58:29,120 Speaker 1: really compelling and one of the reasons, by the way, 954 00:58:29,200 --> 00:58:31,240 Speaker 1: let me give you another stat related to Georgia's Let's 955 00:58:31,240 --> 00:58:34,720 Speaker 1: give you start of the numbers these Biden only ballots nationwide, 956 00:58:34,760 --> 00:58:36,360 Speaker 1: and what I mean by Biden only, these people who 957 00:58:36,520 --> 00:58:39,240 Speaker 1: supposedly voted for Joe Biden and then for no one 958 00:58:39,280 --> 00:58:42,320 Speaker 1: else down ticket. Now that's a rare phenomenon. It certainly 959 00:58:42,440 --> 00:58:46,040 Speaker 1: is rare. Even in twenty twenty outside of the swing states. However, 960 00:58:46,200 --> 00:58:48,080 Speaker 1: there are a total of four hundred and fifty thousand 961 00:58:48,200 --> 00:58:51,560 Speaker 1: at least of these Biden only ballots in America. They 962 00:58:51,560 --> 00:58:55,240 Speaker 1: are predominantly in these swing states, which seems far too convenient. 963 00:58:55,320 --> 00:58:58,240 Speaker 1: And to get specific on Georgia, where we have very 964 00:58:58,280 --> 00:59:01,440 Speaker 1: contentious center rais is obviously ball races are heading into runoff, 965 00:59:01,760 --> 00:59:03,640 Speaker 1: but where you had highly contentious set of races with 966 00:59:03,680 --> 00:59:06,000 Speaker 1: a lot of interest in races plural because there's two 967 00:59:06,040 --> 00:59:08,440 Speaker 1: of them, it's really telling that if you look at 968 00:59:08,440 --> 00:59:12,600 Speaker 1: the Biden only votes, there were ninety five thousand Biden 969 00:59:12,760 --> 00:59:15,040 Speaker 1: only ballots in the state of Georgia where somebody voted 970 00:59:15,080 --> 00:59:18,520 Speaker 1: for Biden and then not downballot allegedly. If we compare 971 00:59:18,520 --> 00:59:21,160 Speaker 1: that to Trump, no such phenomenon. Out of the two 972 00:59:21,200 --> 00:59:24,480 Speaker 1: point four million votes that Donald Trump got, of those, 973 00:59:24,600 --> 00:59:28,160 Speaker 1: only eight hundred and eighteen people voted for Trump only, 974 00:59:28,440 --> 00:59:30,439 Speaker 1: and then nobody down ballots. So if you think about 975 00:59:30,480 --> 00:59:33,000 Speaker 1: that disparity, fewer than a thousand people voted for Trump, 976 00:59:33,040 --> 00:59:37,800 Speaker 1: only ninety five thousand supposedly voted for Biden. Only. Look 977 00:59:37,800 --> 00:59:40,240 Speaker 1: that just it reeks. Let's just be honest about it. 978 00:59:40,320 --> 00:59:42,440 Speaker 1: And again, in and of itself, I want to be fair, 979 00:59:42,640 --> 00:59:44,640 Speaker 1: that is not conclusive. In and of itself, it does 980 00:59:44,680 --> 00:59:47,560 Speaker 1: not prove fraud, but it sure does smell bad, and 981 00:59:47,560 --> 00:59:50,480 Speaker 1: it sure does point to a phenomenon that's pretty hard 982 00:59:50,520 --> 00:59:53,440 Speaker 1: for any reasonable person to explain in the state of Georgia. 983 00:59:53,560 --> 00:59:56,720 Speaker 1: Now we're speaking of Steve Quartet, senior strategic advisor to 984 00:59:57,040 --> 01:00:02,720 Speaker 1: the Trump campaign. Steve, tell me this, why haven't we 985 01:00:02,760 --> 01:00:05,160 Speaker 1: You know, we have all these stories, all this sort 986 01:00:05,200 --> 01:00:09,280 Speaker 1: of you know, the affidavits and all this about fraud, 987 01:00:09,880 --> 01:00:14,760 Speaker 1: but I have not yet seen the Aha. Here is 988 01:00:15,760 --> 01:00:19,400 Speaker 1: proof of a fraud. We've seen proof of irregularity, no 989 01:00:19,520 --> 01:00:22,040 Speaker 1: question about that. Right when you're finding ballots, when they're 990 01:00:22,040 --> 01:00:24,200 Speaker 1: you know, there's no there. And by the way, anyone 991 01:00:24,200 --> 01:00:26,120 Speaker 1: who says there, we're not going to be at least 992 01:00:26,440 --> 01:00:30,240 Speaker 1: irregularities in an election with one hundred and fifty million 993 01:00:30,280 --> 01:00:32,600 Speaker 1: give or take ballots cast. I mean they're living in 994 01:00:32,600 --> 01:00:35,160 Speaker 1: a fantasy world, right, So we know there are regularities 995 01:00:35,200 --> 01:00:37,120 Speaker 1: and that those those should be corrected, and that means 996 01:00:37,120 --> 01:00:39,400 Speaker 1: ballots are going to go alongside either Okay, fine, but 997 01:00:39,680 --> 01:00:44,440 Speaker 1: intentional fraud? Are we just you know, we have all 998 01:00:44,440 --> 01:00:47,720 Speaker 1: these people saying I saw this, I saw that. Are 999 01:00:47,760 --> 01:00:49,520 Speaker 1: we really going to be able to prove any of this? 1000 01:00:50,120 --> 01:00:51,600 Speaker 1: You know? But I believe you will. Here's what I 1001 01:00:51,640 --> 01:00:53,439 Speaker 1: would tell you. Those those cases of what I would 1002 01:00:53,440 --> 01:00:56,440 Speaker 1: call micro fraud are importance. You know, a dead person voting, 1003 01:00:56,440 --> 01:00:58,560 Speaker 1: an illegal immigrant voting. But I'll be the first to 1004 01:00:58,640 --> 01:01:00,960 Speaker 1: can see that that will not change the election. Now, 1005 01:01:00,960 --> 01:01:03,080 Speaker 1: we should clean that up and people should be punished. 1006 01:01:03,080 --> 01:01:05,080 Speaker 1: That people should end up in handcuffs when they have 1007 01:01:05,160 --> 01:01:08,560 Speaker 1: broken election laws. That's serious. But I will agree with 1008 01:01:08,600 --> 01:01:12,280 Speaker 1: you that that is not the smoking gun of macrol fraud, right, 1009 01:01:12,400 --> 01:01:14,200 Speaker 1: the macro fraud that we're talking about. I think there 1010 01:01:14,240 --> 01:01:16,640 Speaker 1: are two instances here, both of which are still to 1011 01:01:16,720 --> 01:01:19,240 Speaker 1: be argued in federal courts. So I would tell folks 1012 01:01:19,240 --> 01:01:21,600 Speaker 1: out there to hold tight because these arguments had not 1013 01:01:21,640 --> 01:01:24,480 Speaker 1: even started yet, and there are really two elements to them. 1014 01:01:24,760 --> 01:01:29,280 Speaker 1: One is we're hundreds of thousands of ballots illegally counted, 1015 01:01:29,640 --> 01:01:32,240 Speaker 1: meaning that there were no Republican observers, but there was 1016 01:01:32,280 --> 01:01:34,040 Speaker 1: no vetting, as I talked about in terms of the 1017 01:01:34,080 --> 01:01:38,680 Speaker 1: percentages insanely lower percentages of rejection raids and route. Giuliani 1018 01:01:38,720 --> 01:01:41,680 Speaker 1: primarily in terms of the public face of the campaign 1019 01:01:41,680 --> 01:01:43,760 Speaker 1: has been making this case that in Pennsylvania there are 1020 01:01:43,760 --> 01:01:46,600 Speaker 1: as many as six hundred thousand plus ballots that are 1021 01:01:46,640 --> 01:01:48,720 Speaker 1: simply not valid, not according to our opinion of the 1022 01:01:48,720 --> 01:01:53,360 Speaker 1: Trunk campaign, according to Pennsylvania law. So that's the macro case. 1023 01:01:53,400 --> 01:01:56,560 Speaker 1: And then perhaps even more damning one, and City Powell 1024 01:01:56,600 --> 01:01:58,520 Speaker 1: has really been the tip of the sphere on this 1025 01:01:58,560 --> 01:02:01,400 Speaker 1: one is the voting saw where now she has said 1026 01:02:01,440 --> 01:02:03,480 Speaker 1: and I think she has enormous credibility. She's one of 1027 01:02:03,480 --> 01:02:06,040 Speaker 1: the best lawyers in America. She certainly has a track 1028 01:02:06,080 --> 01:02:09,360 Speaker 1: record of meaning what she says publicly and eventually backing 1029 01:02:09,360 --> 01:02:11,960 Speaker 1: it with evidence. And I only say eventually because she 1030 01:02:12,040 --> 01:02:14,400 Speaker 1: simply does not want to make that evidence public yet, 1031 01:02:14,640 --> 01:02:17,320 Speaker 1: because it's about to be argued in court. But Sidney 1032 01:02:17,320 --> 01:02:20,840 Speaker 1: Poll has been very very clear in her intermedia appearances 1033 01:02:20,880 --> 01:02:23,960 Speaker 1: that she has an absolute proof of cheating going on 1034 01:02:24,080 --> 01:02:28,120 Speaker 1: in a systemic way. Regarding Dominion Software and perhaps other 1035 01:02:28,240 --> 01:02:32,440 Speaker 1: vote vote vendor companies that are out there, but primarily Dominion. 1036 01:02:32,520 --> 01:02:36,120 Speaker 1: And it really does when I talk about the statistical 1037 01:02:36,160 --> 01:02:39,560 Speaker 1: improbability of the case, that alone does not prove that 1038 01:02:39,600 --> 01:02:41,720 Speaker 1: there was fraud, but it points us toward fraud, right, 1039 01:02:41,720 --> 01:02:43,480 Speaker 1: And I think a reasonable person says, we're going to 1040 01:02:43,560 --> 01:02:46,680 Speaker 1: take the compelling, circumstantial case and then take a more 1041 01:02:46,960 --> 01:02:49,920 Speaker 1: serious look at things that can actually be proven as fraud. 1042 01:02:50,040 --> 01:02:53,520 Speaker 1: Lin So I am, like everybody else, awaiting those arguments 1043 01:02:53,520 --> 01:02:56,000 Speaker 1: to be made in court, but I'm very, very confident 1044 01:02:56,040 --> 01:02:58,280 Speaker 1: that Sidney Poll and others on the Trump legal team 1045 01:02:58,400 --> 01:03:00,560 Speaker 1: are going to make a compelling case that there wasn't 1046 01:03:00,600 --> 01:03:04,400 Speaker 1: just circumstantial fraud evidence of fraud, but actual approvable evidence. 1047 01:03:04,400 --> 01:03:07,720 Speaker 1: And I encourage everybody out there, encourage your audience to 1048 01:03:07,760 --> 01:03:10,000 Speaker 1: be patient in that regard. I mean, yes, we do 1049 01:03:10,120 --> 01:03:13,160 Speaker 1: have to move quickly, but we also can't build cases 1050 01:03:13,200 --> 01:03:16,160 Speaker 1: that are rock solid in a matter of hours. And 1051 01:03:16,200 --> 01:03:18,400 Speaker 1: so you know, we realize the clock is ticking. We 1052 01:03:18,520 --> 01:03:21,920 Speaker 1: realize December eighth and December fourteenth that are critical deadlines 1053 01:03:21,960 --> 01:03:24,160 Speaker 1: for the Electoral College. And I can assure you everyone 1054 01:03:24,160 --> 01:03:26,240 Speaker 1: of the Trump campaign is working around the clock, but 1055 01:03:26,280 --> 01:03:28,320 Speaker 1: I can also assure you that the case has to 1056 01:03:28,360 --> 01:03:31,640 Speaker 1: be rock solid, the constitutional case. I believe eventually that 1057 01:03:31,840 --> 01:03:34,320 Speaker 1: several of these states, Pennsylvania included, will not be able 1058 01:03:34,360 --> 01:03:36,840 Speaker 1: to certify electors, and I believe we're going to be 1059 01:03:36,840 --> 01:03:39,840 Speaker 1: in for a contingent election, which is not the optimal choice, 1060 01:03:39,840 --> 01:03:42,720 Speaker 1: but but it's also hardly without historical precedent, and it 1061 01:03:42,840 --> 01:03:47,360 Speaker 1: is something that is constitutionally and legally mandated in certain cases. 1062 01:03:47,400 --> 01:03:49,000 Speaker 1: I believe that's where we're going to end up, and 1063 01:03:49,000 --> 01:03:50,680 Speaker 1: I really believe that's how the president is going to 1064 01:03:50,760 --> 01:03:53,880 Speaker 1: end up with reelection. So let's just for everyone listening, 1065 01:03:53,920 --> 01:03:56,600 Speaker 1: and we're speaking of Steve Cortez, who's a senior strategic 1066 01:03:56,680 --> 01:04:01,160 Speaker 1: advisor to the Trump twenty twenty campaign. Steve, you're saying 1067 01:04:01,160 --> 01:04:04,960 Speaker 1: that this these legal challenges may result in a situation 1068 01:04:05,080 --> 01:04:09,360 Speaker 1: where it comes down to not the electoral College votes 1069 01:04:09,800 --> 01:04:11,920 Speaker 1: cast in the end, but it will be the House 1070 01:04:11,920 --> 01:04:15,040 Speaker 1: of Representatives. Is that what you think may happen? I 1071 01:04:15,160 --> 01:04:17,280 Speaker 1: believe so not Again that look that that's not official 1072 01:04:17,280 --> 01:04:20,680 Speaker 1: I speak right, that's an analysis and projection. So everyone's 1073 01:04:20,720 --> 01:04:24,320 Speaker 1: clear this is your assessment. But go ahead and of course, 1074 01:04:24,360 --> 01:04:26,320 Speaker 1: none of us know, right, but I in my view 1075 01:04:26,440 --> 01:04:29,120 Speaker 1: that is the most likely scenario. Is that, unfortunately, and 1076 01:04:29,240 --> 01:04:31,280 Speaker 1: it's the fault of the governors of some of these states, 1077 01:04:31,280 --> 01:04:34,080 Speaker 1: for example, Governor Wolf of Pennsylvania, who took it upon 1078 01:04:34,240 --> 01:04:38,080 Speaker 1: himself to unilaterally change the election procedures of his states, 1079 01:04:38,120 --> 01:04:40,120 Speaker 1: something he is not allowed to do by law nor 1080 01:04:40,160 --> 01:04:43,200 Speaker 1: by the US Constitution, but he did it anyway. Unfortunately, 1081 01:04:43,320 --> 01:04:45,880 Speaker 1: his state Supreme Court backed him in that. But because 1082 01:04:45,880 --> 01:04:49,440 Speaker 1: of that unlawful act, he created a system where I 1083 01:04:49,480 --> 01:04:53,040 Speaker 1: believe it's going to be nearly impossible to certify the 1084 01:04:53,240 --> 01:04:58,000 Speaker 1: votes and to send proper electors to the United States Congress. Now, again, 1085 01:04:58,080 --> 01:05:01,040 Speaker 1: this has happened before historically, and we we have procedures 1086 01:05:01,040 --> 01:05:03,360 Speaker 1: that trust the process. You mean, this has happened in America. 1087 01:05:03,400 --> 01:05:07,280 Speaker 1: It may happen again. We'll see. But that is my projection, 1088 01:05:07,360 --> 01:05:09,360 Speaker 1: but I think it's an educated one. Is that it 1089 01:05:09,360 --> 01:05:12,040 Speaker 1: will be difficult for either side to reach two hundred 1090 01:05:12,040 --> 01:05:14,520 Speaker 1: and seventy in terms of electoral votes. And if that happens, 1091 01:05:14,520 --> 01:05:16,959 Speaker 1: the vote then goes to the House of Representatives, where 1092 01:05:17,000 --> 01:05:19,800 Speaker 1: each state gets an equal vote. So Wyoming, our smallest 1093 01:05:19,800 --> 01:05:22,600 Speaker 1: state by population, gets one vote, as does California are 1094 01:05:22,680 --> 01:05:26,000 Speaker 1: most populous. In that case, there are twenty six delegations 1095 01:05:26,000 --> 01:05:29,760 Speaker 1: controlled by Republicans. If party lines hold, the president would 1096 01:05:29,760 --> 01:05:32,880 Speaker 1: then be elected reelected president of United States. Again, look, 1097 01:05:32,880 --> 01:05:35,800 Speaker 1: it's not optimal, but it's not unprecedented, and it's not 1098 01:05:35,840 --> 01:05:37,880 Speaker 1: a crisis. It doesn't mean that we can't go that 1099 01:05:37,960 --> 01:05:40,280 Speaker 1: route if we need to. But there's a lot of 1100 01:05:40,320 --> 01:05:44,280 Speaker 1: stop steps between here and there, And all I'm saying 1101 01:05:44,280 --> 01:05:46,400 Speaker 1: too is that there is there are enough of regularities 1102 01:05:46,400 --> 01:05:49,439 Speaker 1: on an anecdotal basis, there is enough statistical evidence out 1103 01:05:49,440 --> 01:05:52,920 Speaker 1: there making a circumstantial case that we should doubt these returns. 1104 01:05:53,080 --> 01:05:55,520 Speaker 1: And then we're going to see about the legal case, 1105 01:05:55,560 --> 01:05:59,080 Speaker 1: the full legal case regarding wholesale macro fraud that the 1106 01:05:59,080 --> 01:06:01,320 Speaker 1: Trump campaign can make. And by way, I'm not privy 1107 01:06:01,360 --> 01:06:03,840 Speaker 1: to that. Nobody is outside of that legal team, but 1108 01:06:04,160 --> 01:06:06,560 Speaker 1: we all will soon be priving to it in the country, 1109 01:06:06,680 --> 01:06:08,640 Speaker 1: and we will assess it as a country, as a people, 1110 01:06:08,680 --> 01:06:10,959 Speaker 1: and as will a Most importantly, the court's very likely 1111 01:06:10,960 --> 01:06:13,439 Speaker 1: the Supreme Court, and from there I think we find 1112 01:06:13,440 --> 01:06:15,840 Speaker 1: out who's truly going to be president the United States. 1113 01:06:15,840 --> 01:06:17,840 Speaker 1: But I would caution to anybody who believed that there 1114 01:06:17,880 --> 01:06:20,160 Speaker 1: is a president elect right now, there is not a 1115 01:06:20,280 --> 01:06:22,560 Speaker 1: president elect. Steve, can we hold you for one second? 1116 01:06:22,640 --> 01:06:24,720 Speaker 1: So I just want to give everybody a quick moment 1117 01:06:24,760 --> 01:06:26,160 Speaker 1: to catch their breath. I want to come back and 1118 01:06:26,240 --> 01:06:30,560 Speaker 1: ask you just a few questions about the Trump win 1119 01:06:30,760 --> 01:06:33,440 Speaker 1: among Latino's relative to where the gops. Can you give 1120 01:06:33,480 --> 01:06:37,080 Speaker 1: us a sect for that? All right? We got Steve Cortez. 1121 01:06:37,240 --> 01:06:40,160 Speaker 1: He is a senior strategic advisor to the Trump campaign. 1122 01:06:40,280 --> 01:06:44,400 Speaker 1: We'll be back with him in just a moment. You're 1123 01:06:44,480 --> 01:06:48,160 Speaker 1: in the freedom Hunt. This is the Buck Sexton Show podcast. 1124 01:06:51,960 --> 01:06:55,320 Speaker 1: Back with my friend Steve Cortez, senior strategic advisor to 1125 01:06:55,320 --> 01:06:58,560 Speaker 1: the Trump twenty twenty campaign. He's walked us through where 1126 01:06:58,600 --> 01:07:01,760 Speaker 1: we are now on these legal fights. Also made his 1127 01:07:01,840 --> 01:07:05,240 Speaker 1: own analytic assessment in the future, a prediction that this 1128 01:07:05,400 --> 01:07:08,360 Speaker 1: could in fact, emphasis on could, but could in fact 1129 01:07:08,360 --> 01:07:11,080 Speaker 1: go to the House of Representatives to determine who the 1130 01:07:11,120 --> 01:07:13,120 Speaker 1: next president will be. But Steve, I just want to 1131 01:07:13,120 --> 01:07:17,120 Speaker 1: ask you about the broader trent here of the incredible 1132 01:07:18,080 --> 01:07:21,720 Speaker 1: surge in Latino support relative to what the polls were 1133 01:07:21,760 --> 01:07:25,840 Speaker 1: saying and GOP expectations Latino support for President Trump. Tell 1134 01:07:25,920 --> 01:07:28,880 Speaker 1: us about this. Yes, the President did incredibly well. This 1135 01:07:28,920 --> 01:07:31,440 Speaker 1: is super important to me as an Hispanic and the 1136 01:07:31,480 --> 01:07:34,400 Speaker 1: whole team of the Trump campaign has been working for years, 1137 01:07:34,440 --> 01:07:37,720 Speaker 1: actually since the President won in twenty sixteen, to build support, 1138 01:07:37,800 --> 01:07:40,440 Speaker 1: to reach out in respectful and intentional ways to the 1139 01:07:40,480 --> 01:07:42,600 Speaker 1: Hispanic community. To contrast that, by the way, with our 1140 01:07:42,600 --> 01:07:45,480 Speaker 1: opponent Joe Biden, his idea of Hispanic outreach was going 1141 01:07:45,640 --> 01:07:49,080 Speaker 1: to Florida and playing Desposito on his cell phone. I 1142 01:07:49,160 --> 01:07:52,560 Speaker 1: call that hispanderine and it certainly didn't work, particularly in Florida. 1143 01:07:52,600 --> 01:07:56,240 Speaker 1: We won forty seven percent of the Hispanic vote in Florida, 1144 01:07:56,280 --> 01:07:58,120 Speaker 1: and that's according to exit polling. I think we might 1145 01:07:58,160 --> 01:08:00,240 Speaker 1: have done it even better than that, but regardless, I'll 1146 01:08:00,240 --> 01:08:03,000 Speaker 1: take forty seven percent. It's part of why the president 1147 01:08:03,080 --> 01:08:05,320 Speaker 1: just robbed in the state of Florida. Actually wasn't even 1148 01:08:05,360 --> 01:08:07,720 Speaker 1: close to find all the skeptics and certainly all the 1149 01:08:07,760 --> 01:08:10,640 Speaker 1: fake news polling that was out there on a national level. 1150 01:08:10,680 --> 01:08:12,360 Speaker 1: Though it's not just a Florida story, it's not just 1151 01:08:12,400 --> 01:08:14,400 Speaker 1: a Cuban and Venezuelan story. A lot of the media's 1152 01:08:14,440 --> 01:08:16,240 Speaker 1: trying to put it in a box and say, wow, 1153 01:08:16,320 --> 01:08:18,800 Speaker 1: he just didn't really one Q if that's not the case. 1154 01:08:18,840 --> 01:08:21,599 Speaker 1: For example, if we look at Texas, where there's very 1155 01:08:21,600 --> 01:08:25,120 Speaker 1: few quban, it's almost entirely a Mexican American Hispanic population. 1156 01:08:25,200 --> 01:08:27,439 Speaker 1: Of course, in border state of Texas, if we look 1157 01:08:27,439 --> 01:08:30,680 Speaker 1: at those border counties, it's really incredible the gains the 1158 01:08:30,680 --> 01:08:34,120 Speaker 1: president saw in those counties which are overwhelmingly Hispanic. And 1159 01:08:34,120 --> 01:08:37,240 Speaker 1: I'll give you some of the numbers. Zapata County is 1160 01:08:37,360 --> 01:08:40,759 Speaker 1: eighty five percent Hispanic, right on the US Mexico border. 1161 01:08:40,880 --> 01:08:43,760 Speaker 1: President Trump won it, and his margin versus his own 1162 01:08:43,800 --> 01:08:47,880 Speaker 1: margin in twenty sixteen increased thirty eight percent. Right next 1163 01:08:47,920 --> 01:08:51,320 Speaker 1: to Zapata County is Star County, ninety six percent a Spanicus, 1164 01:08:51,360 --> 01:08:54,240 Speaker 1: the most Hispanic county in America. The President didn't quite 1165 01:08:54,240 --> 01:08:56,400 Speaker 1: win it, but he only lost it by five points 1166 01:08:56,400 --> 01:08:59,519 Speaker 1: after losing it by sixty points in twenty sixteen. And 1167 01:08:59,600 --> 01:09:03,040 Speaker 1: you know, is such an a student of politics. Those 1168 01:09:03,120 --> 01:09:05,120 Speaker 1: kinds of swings just don't happen in four years, a 1169 01:09:05,240 --> 01:09:08,519 Speaker 1: fifty five percent swing for the same candidate. But why 1170 01:09:08,560 --> 01:09:10,679 Speaker 1: did this happen? And I think this is really important, 1171 01:09:10,880 --> 01:09:13,120 Speaker 1: particularly when it comes to Texas, and I call it 1172 01:09:13,160 --> 01:09:16,280 Speaker 1: the three genes. I think it was gas, guns, and God. 1173 01:09:16,560 --> 01:09:18,920 Speaker 1: That brought Hispanics over to President Trump's side of what 1174 01:09:18,960 --> 01:09:20,919 Speaker 1: I mean by that as gas is the energy industry. 1175 01:09:21,240 --> 01:09:23,560 Speaker 1: It's critical for all Americans, of course, but particularly for 1176 01:09:23,600 --> 01:09:25,400 Speaker 1: the state of Texas and a lot of spanks very 1177 01:09:25,439 --> 01:09:28,240 Speaker 1: directly involved in the energy industry. I think a spanks 1178 01:09:28,320 --> 01:09:31,120 Speaker 1: rightly knew that Joe Biden would be an existential threat 1179 01:09:31,200 --> 01:09:34,120 Speaker 1: to America's energy dominance. That's terrible for the country, for 1180 01:09:34,240 --> 01:09:36,439 Speaker 1: Texas and for a lot of spanks who work in 1181 01:09:36,479 --> 01:09:38,800 Speaker 1: those industries. When it comes to guns, the whole state 1182 01:09:38,840 --> 01:09:41,840 Speaker 1: of Texas has a great culture of the Second Amendment 1183 01:09:41,880 --> 01:09:44,240 Speaker 1: of self reliance and self protection. And there's a lot 1184 01:09:44,280 --> 01:09:46,919 Speaker 1: of good own raised in Texas with names like Cortez 1185 01:09:46,960 --> 01:09:49,200 Speaker 1: and Gomez who are not going to let a think 1186 01:09:49,280 --> 01:09:52,720 Speaker 1: Mexican bet to Rourke be empowered by Joe Biden to 1187 01:09:52,840 --> 01:09:55,080 Speaker 1: take away their firearms. And then I think the last 1188 01:09:55,120 --> 01:09:58,759 Speaker 1: gene that matters is God. Catholics are overwhelmingly church people, 1189 01:09:59,160 --> 01:10:02,960 Speaker 1: whether Evangelical or Catholic. We do not want Joe Biden 1190 01:10:03,000 --> 01:10:04,639 Speaker 1: to be in the White House food he can once 1191 01:10:04,680 --> 01:10:08,599 Speaker 1: again target religious groups like the Wonderful Women, the nuns 1192 01:10:08,600 --> 01:10:10,559 Speaker 1: of the Little sisters of the poor matters a lot 1193 01:10:10,600 --> 01:10:13,360 Speaker 1: to Spacks, and so we saw a surge of Hispanic 1194 01:10:13,439 --> 01:10:16,479 Speaker 1: support for the America First agenda and for President Trump. 1195 01:10:16,560 --> 01:10:18,120 Speaker 1: It's one of the reasons, by the way, that I 1196 01:10:18,200 --> 01:10:21,320 Speaker 1: so doubt the election results as told to us by 1197 01:10:21,360 --> 01:10:25,240 Speaker 1: the corporate media. This president got the highest minority share 1198 01:10:25,320 --> 01:10:29,519 Speaker 1: overall in sixty years for any Republican candidate. I believe 1199 01:10:29,520 --> 01:10:31,760 Speaker 1: if you combine that with a net game of ten 1200 01:10:31,800 --> 01:10:35,040 Speaker 1: million votes over twenty sixteen, to me, is the idea 1201 01:10:35,080 --> 01:10:37,599 Speaker 1: that we lost, frankly is at least in a clean 1202 01:10:37,800 --> 01:10:40,720 Speaker 1: count of the legal votes. To me, that's a dubious case. 1203 01:10:40,760 --> 01:10:42,880 Speaker 1: But we made great inroads with a spact something to 1204 01:10:42,960 --> 01:10:45,759 Speaker 1: really build on from here. Amazing as well, Steve, especially 1205 01:10:45,800 --> 01:10:49,160 Speaker 1: considering that one of the main lines of attack against 1206 01:10:49,160 --> 01:10:52,880 Speaker 1: this president was anti Hispanic bias, right, that he was 1207 01:10:53,000 --> 01:10:57,360 Speaker 1: racist against Hispanics. This was apparently news, or I should say, 1208 01:10:57,400 --> 01:11:01,000 Speaker 1: fake news. Two millions of Hispanics across the country, who, 1209 01:11:01,040 --> 01:11:04,600 Speaker 1: as you said, are are traditional and a lot of 1210 01:11:04,600 --> 01:11:08,519 Speaker 1: their values or entrepreneurs, are businesspeople and want a better, 1211 01:11:08,560 --> 01:11:11,400 Speaker 1: brighter future. They love this country, their patriots, and they 1212 01:11:11,439 --> 01:11:14,360 Speaker 1: came out of they voted for Donald Trump. Thanks so much, Steve. 1213 01:11:14,400 --> 01:11:17,960 Speaker 1: Steve Cortez advised with the Trump campaign. Always great to 1214 01:11:18,000 --> 01:11:21,360 Speaker 1: have you on, buddy. Thanks for giving us your time today. 1215 01:11:20,160 --> 01:11:24,879 Speaker 1: Thanks for listening to the Bus and Show podcast. Remember 1216 01:11:24,920 --> 01:11:28,679 Speaker 1: to subscribe on Apple Podcasts, the iHeartRadio app, or wherever 1217 01:11:28,760 --> 01:11:33,080 Speaker 1: you get your podcasts. Let's talk about the Joe Biden 1218 01:11:33,560 --> 01:11:39,519 Speaker 1: cancer charity scam. Oh wait, you haven't heard of this one. 1219 01:11:39,640 --> 01:11:45,920 Speaker 1: You've somehow not seen this being blasted all across social media. 1220 01:11:45,960 --> 01:11:49,840 Speaker 1: You're not You're not seeing the constant headlines about this one. 1221 01:11:50,360 --> 01:11:54,240 Speaker 1: What a shock. Friends. Let me explain to you a 1222 01:11:54,240 --> 01:11:57,120 Speaker 1: little bit about what we're actually seeing here. Let's talk 1223 01:11:57,600 --> 01:12:01,080 Speaker 1: about this for a moment, shall we. Joe Biden, it 1224 01:12:01,120 --> 01:12:06,879 Speaker 1: turns out, had a few years ago founded a charity 1225 01:12:06,920 --> 01:12:11,519 Speaker 1: for cancer research. Now this is something that's very near 1226 01:12:11,600 --> 01:12:14,240 Speaker 1: and dear to the Biden family, of course, because Joe 1227 01:12:14,240 --> 01:12:19,840 Speaker 1: Biden lost a son to cancer, so understandably people would 1228 01:12:19,840 --> 01:12:24,760 Speaker 1: want to support this. Everybody hates cancer. We're all united 1229 01:12:25,439 --> 01:12:31,400 Speaker 1: in our fight against against cancer. But if you're going 1230 01:12:31,439 --> 01:12:33,559 Speaker 1: to raise money for a charity in the name of 1231 01:12:33,600 --> 01:12:37,880 Speaker 1: that fight, shouldn't the money actually go to charitable purposes? 1232 01:12:38,320 --> 01:12:42,839 Speaker 1: Is that fair? To say. Right, in twenty seventeen, Biden 1233 01:12:42,880 --> 01:12:46,599 Speaker 1: founded the Biden Cancer Initiative. In two years, it took 1234 01:12:46,640 --> 01:12:50,479 Speaker 1: in four point eight million dollars in contribution. That's a 1235 01:12:50,479 --> 01:12:52,840 Speaker 1: lot of money for a charity. I know people who 1236 01:12:52,880 --> 01:12:55,759 Speaker 1: have started charities. In fact, I know someone who's father 1237 01:12:55,920 --> 01:12:59,720 Speaker 1: died of heart disease and she started a heart foundation, 1238 01:13:00,120 --> 01:13:06,719 Speaker 1: charitable foundation. The Biden Cancer Initiative, which remember was started 1239 01:13:06,800 --> 01:13:10,400 Speaker 1: right after he was no longer Vice president, just put 1240 01:13:10,400 --> 01:13:12,439 Speaker 1: that out there. So I was looking for stuff, right, 1241 01:13:12,479 --> 01:13:15,000 Speaker 1: I mean, this is right around the same period when 1242 01:13:15,040 --> 01:13:19,240 Speaker 1: the Hunter Biden reaching out to China and the Barisma 1243 01:13:19,360 --> 01:13:21,960 Speaker 1: stuff would really be kicking in more. You know, this 1244 01:13:22,120 --> 01:13:25,439 Speaker 1: is what we would expect. Biden's trying to get some 1245 01:13:25,439 --> 01:13:28,759 Speaker 1: good stuff going for himself. So the Biden Cancer Initiatives 1246 01:13:28,760 --> 01:13:33,240 Speaker 1: spent three million dollars three million, seventy thousand and change 1247 01:13:33,400 --> 01:13:36,680 Speaker 1: on salaries, so about three million dollars on salaries and 1248 01:13:36,880 --> 01:13:42,040 Speaker 1: about a million dollars on travel and conferences. Zero dollars 1249 01:13:42,880 --> 01:13:48,080 Speaker 1: on grants for research and for treatment. And this is 1250 01:13:48,080 --> 01:13:51,080 Speaker 1: all from the New York Post. Wait a second, you 1251 01:13:51,680 --> 01:13:56,000 Speaker 1: have a cancer charity that you get four million dollars 1252 01:13:56,000 --> 01:14:00,720 Speaker 1: of donations. And remember those donations are tax deduct so 1253 01:14:00,800 --> 01:14:03,400 Speaker 1: you get people that get to write a Biden Cancer 1254 01:14:03,760 --> 01:14:07,840 Speaker 1: Charity Initiative check and then deduct that from their taxes. 1255 01:14:08,520 --> 01:14:11,120 Speaker 1: So there's a big incentive. It's people and that's a 1256 01:14:11,120 --> 01:14:13,120 Speaker 1: good thing, right. We want people giving to charity, but 1257 01:14:14,120 --> 01:14:18,240 Speaker 1: we want the charity to do something. And now you 1258 01:14:18,360 --> 01:14:24,880 Speaker 1: have the usual hyenas in the mainstream media all coming 1259 01:14:24,880 --> 01:14:29,760 Speaker 1: together trying to defend this practice with Joe Biden. They're 1260 01:14:29,760 --> 01:14:32,879 Speaker 1: trying to say, well, they never claim that this charity 1261 01:14:32,880 --> 01:14:36,600 Speaker 1: would fund research or initiatives or anything. No, this is 1262 01:14:36,640 --> 01:14:39,400 Speaker 1: what Snopes and these other fact check organizations are trying 1263 01:14:39,400 --> 01:14:42,839 Speaker 1: to do. Now they're saying, well, it was really about 1264 01:14:42,960 --> 01:14:45,639 Speaker 1: and I want to give you the specifics here. It's 1265 01:14:45,640 --> 01:14:49,240 Speaker 1: not a grant giving organization. Its mission was quote to 1266 01:14:49,280 --> 01:14:55,400 Speaker 1: convene and connect partners. Oh okay, So they raise a 1267 01:14:55,439 --> 01:15:00,040 Speaker 1: bunch of money. They pay salaries to people, millions of 1268 01:15:00,080 --> 01:15:04,800 Speaker 1: dollars in two years, friends, three million dollars of salaries, 1269 01:15:05,040 --> 01:15:09,439 Speaker 1: a million dollars of gathering together for let's be honest 1270 01:15:10,080 --> 01:15:15,280 Speaker 1: parties conferences where I'm sure they had amazing food, fantastic lodging, 1271 01:15:15,600 --> 01:15:18,360 Speaker 1: you know, they're paying for these. This is the taxpayers 1272 01:15:18,360 --> 01:15:22,840 Speaker 1: subsidizing private jet travel and five star meals for Joe 1273 01:15:22,880 --> 01:15:26,519 Speaker 1: Biden and his cronies. Oh and paying them salaries to 1274 01:15:26,760 --> 01:15:31,479 Speaker 1: arrange the travel and the five star meals. That's what 1275 01:15:31,600 --> 01:15:37,040 Speaker 1: this is. This is a small scale version of the 1276 01:15:37,120 --> 01:15:42,240 Speaker 1: Clinton Foundation, which raised two billion dollars over many years 1277 01:15:42,760 --> 01:15:46,000 Speaker 1: spend tens of millions on private jet travel. Right, work 1278 01:15:46,040 --> 01:15:47,640 Speaker 1: for a charity, You really got to fly private all 1279 01:15:47,640 --> 01:15:51,240 Speaker 1: the time? Interesting, you know, you're traveling on the charity's dime. 1280 01:15:51,400 --> 01:15:53,120 Speaker 1: You gotta fly in a private jet. Well, if your 1281 01:15:53,160 --> 01:15:56,360 Speaker 1: Bill or Hillary or Chelsea or any of their cronies, yeah, 1282 01:15:56,400 --> 01:15:58,479 Speaker 1: of course you're not gonna fly you're not a pleb. 1283 01:15:58,720 --> 01:16:01,160 Speaker 1: You're not gonna fly commercial. The charity is going to 1284 01:16:01,200 --> 01:16:03,240 Speaker 1: pay for you to fly in a private jet, because 1285 01:16:03,240 --> 01:16:07,400 Speaker 1: that's what charities do. That was the Clinton Foundation and 1286 01:16:07,520 --> 01:16:09,559 Speaker 1: the lib media of course, all went along with this, said, 1287 01:16:09,560 --> 01:16:12,720 Speaker 1: oh no, the Bill, Hillary and Chelsea Clinton Foundation does 1288 01:16:12,760 --> 01:16:14,559 Speaker 1: great stuff all over the world. You look into this 1289 01:16:14,680 --> 01:16:17,840 Speaker 1: and there are a lot of people that are donating 1290 01:16:17,840 --> 01:16:20,879 Speaker 1: to it that have interest before the US government, including 1291 01:16:20,920 --> 01:16:24,880 Speaker 1: foreign entities, foreign governments that generally don't care very much 1292 01:16:24,880 --> 01:16:26,760 Speaker 1: about charity, but they're willing to write a big check, 1293 01:16:26,960 --> 01:16:30,080 Speaker 1: and they're willing to pay big dollars which go directly 1294 01:16:30,080 --> 01:16:33,160 Speaker 1: into Clinton pockets for speeches. Right, we know that the 1295 01:16:33,200 --> 01:16:37,559 Speaker 1: Clintons made tens of millions of dollars personally off of 1296 01:16:37,600 --> 01:16:42,720 Speaker 1: their influence, peddling schemes, giving speeches to big companies and corporations, 1297 01:16:43,200 --> 01:16:45,360 Speaker 1: all because Hillary Clinton was supposed to run again and 1298 01:16:45,439 --> 01:16:48,000 Speaker 1: supposed to be president. So that's what was happening there. 1299 01:16:48,560 --> 01:16:53,080 Speaker 1: People like me during that whole period were making noises 1300 01:16:53,080 --> 01:16:54,640 Speaker 1: about this. We were saying, hold on a second, this 1301 01:16:54,680 --> 01:16:57,839 Speaker 1: isn't really they're polluting the idea of charity. The Clinton 1302 01:16:57,880 --> 01:17:00,760 Speaker 1: Foundation was at best a pass through. It would give 1303 01:17:00,880 --> 01:17:03,599 Speaker 1: some portion of the money that it wasn't using on 1304 01:17:03,760 --> 01:17:07,880 Speaker 1: conferences and private jet travel and salaries to other charities 1305 01:17:08,240 --> 01:17:10,240 Speaker 1: that would actually do some stuff that might be good 1306 01:17:10,240 --> 01:17:12,759 Speaker 1: with the chair. But there was no there were no metrics. 1307 01:17:12,760 --> 01:17:16,120 Speaker 1: The Clinton Foundation wasn't doing anything as an entity that 1308 01:17:16,200 --> 01:17:18,880 Speaker 1: was benefiting the world. The whole thing was a scam basically, 1309 01:17:18,920 --> 01:17:20,680 Speaker 1: with a little bit of you know, it was like 1310 01:17:20,800 --> 01:17:24,880 Speaker 1: running a company that's a front. Right, you can have 1311 01:17:25,479 --> 01:17:29,080 Speaker 1: a luggage store somewhere, but if you're really not selling 1312 01:17:29,120 --> 01:17:31,880 Speaker 1: any luggage, just a few pieces here and there, but 1313 01:17:32,040 --> 01:17:33,920 Speaker 1: you are selling a lot of drugs out the back 1314 01:17:33,960 --> 01:17:36,000 Speaker 1: of it. You know, that's what we call a money 1315 01:17:36,080 --> 01:17:38,760 Speaker 1: laundering operation. But you got to have a front. The 1316 01:17:38,840 --> 01:17:44,120 Speaker 1: Clinton Foundation was effectively a money laundering operation for influence 1317 01:17:44,160 --> 01:17:48,000 Speaker 1: peddling by Bill and Hillary Clinton. We know this because 1318 01:17:48,560 --> 01:17:51,840 Speaker 1: they shut it down. Largely, they shut down the entire 1319 01:17:51,880 --> 01:17:56,080 Speaker 1: Clinton Global Initiative right after Hillary lost all of a sudden, 1320 01:17:56,080 --> 01:17:58,519 Speaker 1: donations dried up, all of a sudden, there was no 1321 01:17:58,520 --> 01:18:01,679 Speaker 1: more money, there was no more interest in this. Gee, 1322 01:18:01,720 --> 01:18:05,200 Speaker 1: what what happened? I thought? I thought that Saudi Arabia 1323 01:18:05,200 --> 01:18:07,360 Speaker 1: and Russia and these countries that were writing these these 1324 01:18:07,439 --> 01:18:09,920 Speaker 1: checks to Bill and Hillary Clinton in their foundation. I 1325 01:18:10,000 --> 01:18:13,760 Speaker 1: thought they all cared so much about women's empowerment and 1326 01:18:14,000 --> 01:18:18,920 Speaker 1: combating climate change. Oh no, only idiots believe that, right. 1327 01:18:20,200 --> 01:18:22,080 Speaker 1: That's why they had to shut it down though, because 1328 01:18:22,280 --> 01:18:25,519 Speaker 1: the influence peddling was no longer so valuable, So the 1329 01:18:25,600 --> 01:18:29,920 Speaker 1: charity front couldn't sustain itself anymore. That's what happened with 1330 01:18:29,960 --> 01:18:37,360 Speaker 1: the CGI. So what about the Biden Cancer Initiative? Isn't 1331 01:18:37,360 --> 01:18:40,720 Speaker 1: it amazing? The Biden Cancer Initiative even borrowings some of 1332 01:18:40,760 --> 01:18:44,120 Speaker 1: the terminology. You have the Clinton Global Initiative the CGI, 1333 01:18:44,360 --> 01:18:48,479 Speaker 1: and you've got the Biden Cancer Initiative the BCI. He 1334 01:18:48,600 --> 01:18:51,160 Speaker 1: probably saw what Hillary had been up to and figured 1335 01:18:51,240 --> 01:18:53,320 Speaker 1: that's a great scam. I gotta get in on some 1336 01:18:53,400 --> 01:18:57,280 Speaker 1: of that. You know what happened After a couple of years, 1337 01:18:58,600 --> 01:19:02,600 Speaker 1: they had to shut it down. You know why, because 1338 01:19:03,040 --> 01:19:10,360 Speaker 1: it didn't do anything, didn't actually help anyone. The charity 1339 01:19:10,479 --> 01:19:17,519 Speaker 1: suspended its operations in twenty nineteen. Gee gosh, I wonder 1340 01:19:18,680 --> 01:19:22,400 Speaker 1: what were they paying people salaries for millions of dollars 1341 01:19:22,520 --> 01:19:26,000 Speaker 1: tax pay or subsidize. Right, you donate to this charity 1342 01:19:26,160 --> 01:19:29,360 Speaker 1: and then the charity directs money to people. I would 1343 01:19:29,400 --> 01:19:31,559 Speaker 1: love to see who is getting paid off by this thing. 1344 01:19:32,479 --> 01:19:36,959 Speaker 1: Three million dollars in salary, a million dollars in operating expense, 1345 01:19:37,479 --> 01:19:42,040 Speaker 1: meaning conferences, which is renting out the ballroom at the 1346 01:19:42,040 --> 01:19:45,439 Speaker 1: Four Seasons and flying people who are officers of the 1347 01:19:45,479 --> 01:19:48,320 Speaker 1: company in privately and paying for them to have open 1348 01:19:48,400 --> 01:19:52,280 Speaker 1: bar and a live band, and who knows what else. 1349 01:19:53,600 --> 01:19:57,640 Speaker 1: That's what the Biden Cancer Initiative was doing. This is 1350 01:19:57,680 --> 01:20:00,040 Speaker 1: the guy that the Democrats now want in charge of 1351 01:20:00,080 --> 01:20:03,439 Speaker 1: your healthcare. This is the guy who's supposed to be 1352 01:20:03,479 --> 01:20:09,240 Speaker 1: a return to honor in our politics. I'm sorry, that's 1353 01:20:09,320 --> 01:20:12,000 Speaker 1: just too much for any of us to believe. We're 1354 01:20:12,040 --> 01:20:15,679 Speaker 1: not going to swallow that nonsense no matter how hard 1355 01:20:15,680 --> 01:20:19,960 Speaker 1: they try. Biden is a swamp creature. He's corrupt and 1356 01:20:20,080 --> 01:20:25,600 Speaker 1: we all know it. You're in the Freedom This is 1357 01:20:25,640 --> 01:20:32,080 Speaker 1: the Buck Sex and Show podcast. Who's to blame for 1358 01:20:32,120 --> 01:20:36,760 Speaker 1: the Democrats actually losing House seats in a pandemic year 1359 01:20:37,640 --> 01:20:41,080 Speaker 1: when the Republican Party has the presidency On the Senate, 1360 01:20:41,120 --> 01:20:43,120 Speaker 1: You'd think that there would be such a big opening 1361 01:20:43,120 --> 01:20:45,040 Speaker 1: for the Democrats to run the table here, but it 1362 01:20:45,880 --> 01:20:51,040 Speaker 1: didn't happen. Why is that. Well, let's hear from one 1363 01:20:51,080 --> 01:20:58,639 Speaker 1: of the left wing media's favorite members of Congress, Ilhan Omar, 1364 01:20:58,760 --> 01:21:04,640 Speaker 1: who did win reelection. And oh, Minneapolis, Minnesota, such nice people, Minneapolis, 1365 01:21:04,720 --> 01:21:11,000 Speaker 1: your politics. Gosh, here's Johano more play nine. I mean, 1366 01:21:11,040 --> 01:21:17,160 Speaker 1: there are so many lies and sneers that the Republicans 1367 01:21:17,439 --> 01:21:24,400 Speaker 1: engage in that have had impact on races, and you know, 1368 01:21:24,439 --> 01:21:29,000 Speaker 1: to to blame a movement that has shown up for 1369 01:21:29,120 --> 01:21:33,400 Speaker 1: us in the most aggressive way to deliver a decisive 1370 01:21:33,600 --> 01:21:42,200 Speaker 1: victory for president for President elect Biden is really shameful 1371 01:21:42,439 --> 01:21:48,400 Speaker 1: and something that I can't even believe my Democratic colleagues 1372 01:21:48,479 --> 01:21:51,280 Speaker 1: are doing. Yeah, I mean, who would have ever thought 1373 01:21:51,320 --> 01:21:56,600 Speaker 1: that defund the police and socialism now would be unpopular 1374 01:21:56,720 --> 01:22:01,040 Speaker 1: in places where people are swing voters or in places 1375 01:22:01,040 --> 01:22:03,599 Speaker 1: where there are districts that are not completely left wing 1376 01:22:04,120 --> 01:22:07,640 Speaker 1: echo chambers. Gosh, I don't know, but the left is 1377 01:22:07,720 --> 01:22:10,840 Speaker 1: upset because there was no No matter what these legal 1378 01:22:10,920 --> 01:22:17,240 Speaker 1: challenges show us, there was no repudiation of Trump. There 1379 01:22:17,400 --> 01:22:22,759 Speaker 1: was no there was no shattering of the Trump movement 1380 01:22:22,800 --> 01:22:25,840 Speaker 1: and the coalition, And if anything, we now have lots 1381 01:22:25,880 --> 01:22:27,680 Speaker 1: of data to suggest that all the left and the 1382 01:22:27,760 --> 01:22:31,280 Speaker 1: media's claims of Trump being racist are absurd given how 1383 01:22:31,280 --> 01:22:35,080 Speaker 1: he did with black and Hispanic voters relative to traditional 1384 01:22:35,120 --> 01:22:40,719 Speaker 1: GOP numbers, big improvement on those two fronts. And also 1385 01:22:43,080 --> 01:22:48,200 Speaker 1: the Democrats couldn't even win net house seats this time around. 1386 01:22:48,200 --> 01:22:52,080 Speaker 1: That's just what bigger indicator could you have of the 1387 01:22:52,320 --> 01:22:54,400 Speaker 1: left word drift of the party and how that's not 1388 01:22:54,960 --> 01:22:57,839 Speaker 1: popular Americans. Yeah, they might have been able to convince 1389 01:22:57,880 --> 01:23:01,640 Speaker 1: people with their constant Orange man bad the world is 1390 01:23:01,680 --> 01:23:03,519 Speaker 1: going to end because of Trump. They might have been 1391 01:23:03,560 --> 01:23:05,439 Speaker 1: able to fool enough people into thinking that that was 1392 01:23:05,479 --> 01:23:10,759 Speaker 1: true to be Trump. We shall see. But the left 1393 01:23:12,360 --> 01:23:16,440 Speaker 1: is a problem for Democrats. The left is a drag 1394 01:23:16,520 --> 01:23:21,320 Speaker 1: on the rest of the party, pulls down their poll numbers, 1395 01:23:22,000 --> 01:23:25,800 Speaker 1: and that's why they're so upset with this. Now. I 1396 01:23:25,800 --> 01:23:28,280 Speaker 1: think they realize. I think the aoc to squad that 1397 01:23:28,360 --> 01:23:34,320 Speaker 1: wing of the House Democrats knows that the power structure, 1398 01:23:34,880 --> 01:23:38,000 Speaker 1: they may be able to push the conversation and get 1399 01:23:38,040 --> 01:23:40,920 Speaker 1: all the media attention, but the powers that be for now, 1400 01:23:40,960 --> 01:23:44,240 Speaker 1: at least Pelosi and the rest recognize that this is 1401 01:23:44,240 --> 01:23:47,840 Speaker 1: a problem. The Democrat Party's strategy for a long time now, 1402 01:23:48,200 --> 01:23:50,880 Speaker 1: a long time now, has been to rile up the 1403 01:23:50,880 --> 01:23:54,240 Speaker 1: base and then moderate towards the center just before election 1404 01:23:54,320 --> 01:23:57,680 Speaker 1: time and hope the American people don't remember come the 1405 01:23:57,720 --> 01:24:00,000 Speaker 1: next election that they were full the last time around. 1406 01:24:00,040 --> 01:24:04,000 Speaker 1: And that's really a central Democrats strategy. Ilhan Omar of course, 1407 01:24:04,680 --> 01:24:08,559 Speaker 1: is a problem for that makes it too obvious, and 1408 01:24:08,680 --> 01:24:12,320 Speaker 1: also for the healing and unity message that Democrats want 1409 01:24:12,320 --> 01:24:15,040 Speaker 1: to pretend they're going and they don't really go with it, 1410 01:24:15,080 --> 01:24:17,840 Speaker 1: but that they want to pretend they're going with. Here's 1411 01:24:17,840 --> 01:24:20,360 Speaker 1: what you get from people like ilhan Omar on the 1412 01:24:20,479 --> 01:24:24,120 Speaker 1: left Democrats of the socialist wing of the Democrat Party, 1413 01:24:24,439 --> 01:24:28,920 Speaker 1: how they refer to Trump rallies play ten two is 1414 01:24:28,920 --> 01:24:32,639 Speaker 1: speak about me at every single rally, didn't really matter 1415 01:24:32,680 --> 01:24:38,080 Speaker 1: where he was, sometimes multiple times in the day as 1416 01:24:38,160 --> 01:24:44,759 Speaker 1: he held his clan rallies throughout the country, clan rallies. 1417 01:24:45,880 --> 01:24:49,400 Speaker 1: There's a sitting member of Congress. This is referring to 1418 01:24:49,439 --> 01:24:52,960 Speaker 1: any of you who went to a Trump rally as 1419 01:24:53,439 --> 01:24:58,040 Speaker 1: having attended a KKK rally. And she won't even get 1420 01:24:58,040 --> 01:25:01,920 Speaker 1: called out for this. I mean, that's disgusting. Even Christian 1421 01:25:02,000 --> 01:25:07,120 Speaker 1: Almumpo with a fanciest accent to have ever been on television, 1422 01:25:08,439 --> 01:25:11,320 Speaker 1: Even Christian Almumpoor had to apologize for a crystal knock 1423 01:25:11,320 --> 01:25:14,960 Speaker 1: Trump is a Nazi and his supporters or brown Shirts comparison. 1424 01:25:15,040 --> 01:25:18,080 Speaker 1: Last week, she did have to come out and say, Okay, 1425 01:25:18,080 --> 01:25:20,000 Speaker 1: I shouldn't have done that. Now. I don't think she's 1426 01:25:20,080 --> 01:25:23,679 Speaker 1: sorry for it, but it hurts the game that she's 1427 01:25:23,680 --> 01:25:26,760 Speaker 1: trying to play, which is oh but time. I'm just 1428 01:25:26,800 --> 01:25:32,000 Speaker 1: a journalist. I'm just presenting the facts as they need 1429 01:25:32,000 --> 01:25:37,800 Speaker 1: to be sure. But elan Omar can call Trump supporters, 1430 01:25:38,200 --> 01:25:43,960 Speaker 1: clan members or clan supporters just as bad. And there's 1431 01:25:44,000 --> 01:25:46,680 Speaker 1: no blowback to this at all. And that's what the 1432 01:25:46,720 --> 01:25:49,759 Speaker 1: Democrats are going to have to control as a narrative 1433 01:25:49,800 --> 01:25:52,040 Speaker 1: going forward. That's going to be the problem that they face. 1434 01:25:53,000 --> 01:25:55,679 Speaker 1: I'll also say this, well, I know they're all out 1435 01:25:55,680 --> 01:25:59,080 Speaker 1: there calling for Trump to concede. Here's one reason I 1436 01:25:59,120 --> 01:26:02,400 Speaker 1: haven't gotten to in a little while. And I'll use 1437 01:26:02,439 --> 01:26:05,439 Speaker 1: Anderson Cooper as a case in point here. Who is 1438 01:26:05,600 --> 01:26:08,120 Speaker 1: who is really one of the ultimate smug elite journos 1439 01:26:08,160 --> 01:26:11,040 Speaker 1: out there. This guy was very lucky. CNN just built 1440 01:26:11,120 --> 01:26:13,360 Speaker 1: him into a household name over a long period of time. 1441 01:26:13,760 --> 01:26:16,080 Speaker 1: They decided that he would be the one. He would 1442 01:26:16,120 --> 01:26:19,600 Speaker 1: be the franchise, so to speak, at CNN and the 1443 01:26:19,680 --> 01:26:22,200 Speaker 1: more around it, this is just just an unimpressive guy. 1444 01:26:22,240 --> 01:26:24,400 Speaker 1: I don't know, it's just a guy like any He's 1445 01:26:24,680 --> 01:26:28,479 Speaker 1: got a certain look, but he's a trust fund baby 1446 01:26:28,960 --> 01:26:32,240 Speaker 1: and they've just decided that he was the anointed at CNN. 1447 01:26:32,280 --> 01:26:36,559 Speaker 1: That's the way that it happened here he is though. 1448 01:26:37,080 --> 01:26:39,200 Speaker 1: I'll use some of his commentary here to make my 1449 01:26:39,280 --> 01:26:42,000 Speaker 1: point talking about the Trump team and where we are 1450 01:26:42,000 --> 01:26:46,040 Speaker 1: in the transition. Play twelve next week, the CDC starts 1451 01:26:46,040 --> 01:26:48,920 Speaker 1: the process of determining which of us, which Americans, will 1452 01:26:48,960 --> 01:26:51,599 Speaker 1: be the first to get the vaccine. That is an 1453 01:26:51,640 --> 01:26:54,599 Speaker 1: incredibly important decision. Not everyone can be at the front 1454 01:26:54,600 --> 01:26:56,920 Speaker 1: of the line, and people will have to wait. So 1455 01:26:56,960 --> 01:26:59,040 Speaker 1: it should be obvious why you would want to give 1456 01:26:59,080 --> 01:27:01,599 Speaker 1: an incoming him in his access to the people who 1457 01:27:01,600 --> 01:27:05,120 Speaker 1: are making these decisions right now, because in about sixty 1458 01:27:05,160 --> 01:27:08,280 Speaker 1: five days it becomes their decisions too, and they have 1459 01:27:08,320 --> 01:27:10,840 Speaker 1: to make it work. In our democracy, the people speak, 1460 01:27:10,840 --> 01:27:13,880 Speaker 1: and the people changed the course of history. That's what 1461 01:27:13,920 --> 01:27:16,640 Speaker 1: they did, and that is what has already happened. And 1462 01:27:16,680 --> 01:27:19,080 Speaker 1: the president is free to fight this in court all 1463 01:27:19,120 --> 01:27:22,320 Speaker 1: the way to inauguration day. He's been laughed out of courts. 1464 01:27:22,439 --> 01:27:25,960 Speaker 1: His lawyers are dropping left and right. His time is over. 1465 01:27:26,400 --> 01:27:30,000 Speaker 1: Let the new administration have a transition and let's help 1466 01:27:30,040 --> 01:27:33,880 Speaker 1: americans true this crisis. Oh yeah, Now, CNN really cares 1467 01:27:33,920 --> 01:27:36,679 Speaker 1: so much about the crisis and the vaccine and the plan. 1468 01:27:37,560 --> 01:27:40,280 Speaker 1: All of a sudden, it's all about that. Did they 1469 01:27:40,400 --> 01:27:44,479 Speaker 1: call out Biden and Harris for convincing people not to 1470 01:27:44,479 --> 01:27:47,760 Speaker 1: take to vaccine effectively for months before the election. No, No, 1471 01:27:47,880 --> 01:27:51,000 Speaker 1: they did not, No, they didn't matter. Then, just like 1472 01:27:51,040 --> 01:27:54,719 Speaker 1: they didn't call out the BLM mobs in the streets 1473 01:27:54,840 --> 01:27:57,479 Speaker 1: for the summer, that was fine, that was necessary, that 1474 01:27:57,560 --> 01:28:02,000 Speaker 1: was saving lives. Actually, they told us these people are 1475 01:28:02,040 --> 01:28:05,719 Speaker 1: intellectually and morally decrepit at CNN, but this is where 1476 01:28:05,720 --> 01:28:09,479 Speaker 1: they are. But there's another reason why I like that 1477 01:28:09,479 --> 01:28:11,479 Speaker 1: Trump is continuing this fight. And it's one of the 1478 01:28:11,479 --> 01:28:14,759 Speaker 1: best things about Trump and Trump is hm. He drives 1479 01:28:14,840 --> 01:28:22,360 Speaker 1: these smug, elitist, self indulgent, vain journos completely insane, and 1480 01:28:22,439 --> 01:28:25,840 Speaker 1: I love it. He drives them up the wall. I mean, 1481 01:28:25,880 --> 01:28:32,120 Speaker 1: they just can't handle it. He makes them lose their minds. 1482 01:28:32,720 --> 01:28:36,800 Speaker 1: And every moment where that's the case, we should just 1483 01:28:36,880 --> 01:28:40,040 Speaker 1: savor at every moment we have, whether it's a couple 1484 01:28:40,080 --> 01:28:44,840 Speaker 1: more months or four more years, his ability to really 1485 01:28:44,920 --> 01:28:48,120 Speaker 1: get under the skin of some of the worst people 1486 01:28:48,320 --> 01:28:52,080 Speaker 1: in professional life in America. The modern American journalist is 1487 01:28:52,439 --> 01:28:56,360 Speaker 1: a tremendous talent and it's a gift. And because he's 1488 01:28:56,520 --> 01:28:59,479 Speaker 1: forced them, or he's made them show us who they 1489 01:28:59,600 --> 01:29:03,639 Speaker 1: really are, and that's never going to change again. We're 1490 01:29:03,640 --> 01:29:06,240 Speaker 1: not going to forget that whoever ends up winning this election, 1491 01:29:06,240 --> 01:29:09,120 Speaker 1: and we'll remember that. CNN is a disaster and a 1492 01:29:09,200 --> 01:29:12,400 Speaker 1: joke and a fraud. The entire entity of the organization 1493 01:29:12,560 --> 01:29:15,120 Speaker 1: now is a disgrace. Are there some good people who 1494 01:29:15,120 --> 01:29:18,639 Speaker 1: work there Shore, you know? But there are also good 1495 01:29:18,680 --> 01:29:21,519 Speaker 1: people who work in the Kremlin, right. There are good 1496 01:29:21,520 --> 01:29:24,160 Speaker 1: people in a lot of places. Doesn't mean the institution, 1497 01:29:24,200 --> 01:29:28,439 Speaker 1: the entity should not be condemned. CNN is one of them. 1498 01:29:29,200 --> 01:29:31,960 Speaker 1: Thanks for listening to the bus Sex and Show podcasts. 1499 01:29:32,280 --> 01:29:36,080 Speaker 1: Remember to subscribe on Apple podcasts, the iHeartRadio app, or 1500 01:29:36,120 --> 01:29:41,080 Speaker 1: wherever you get your podcasts like Soft Butter on Warm Toast. 1501 01:29:41,439 --> 01:29:53,160 Speaker 1: Time to spread some freedom coast to coast. It's time 1502 01:29:53,200 --> 01:29:58,479 Speaker 1: for roll Call. Roll Call everybody, Facebook dot com, slash 1503 01:29:58,520 --> 01:30:03,920 Speaker 1: buck Sexton team Buck at iyeheart media dot com if 1504 01:30:03,920 --> 01:30:08,320 Speaker 1: you want to email us and producer Mark. Have you 1505 01:30:08,400 --> 01:30:12,600 Speaker 1: yet figured out a way that we could have pigeons, 1506 01:30:12,960 --> 01:30:15,000 Speaker 1: you know that that bring the message like they do 1507 01:30:15,000 --> 01:30:17,679 Speaker 1: in Game of Thrones, because that would be cool. Maybe 1508 01:30:17,720 --> 01:30:20,679 Speaker 1: like owls like they do at Hogwarts in the Magical World. Yeah, 1509 01:30:20,720 --> 01:30:22,120 Speaker 1: or I guess actually in Game of Thrones it's a 1510 01:30:22,200 --> 01:30:24,840 Speaker 1: raven but it comes from using messenger pigeons from back 1511 01:30:24,840 --> 01:30:27,040 Speaker 1: in the day, which is pretty ingenious when you think 1512 01:30:27,080 --> 01:30:30,080 Speaker 1: about it, right, Pigeons move fast, Yeah, but how do 1513 01:30:30,120 --> 01:30:32,880 Speaker 1: you trust the pigeon to find the right place? Well, 1514 01:30:32,880 --> 01:30:34,920 Speaker 1: you got to train them beforehand. You know. You can't 1515 01:30:34,920 --> 01:30:37,120 Speaker 1: just let pigeons run around willie nilly. We're you know, 1516 01:30:37,120 --> 01:30:39,959 Speaker 1: we're civilized. I don't think I would give an important 1517 01:30:40,000 --> 01:30:43,840 Speaker 1: document to a pigeon. So true story. I was walking 1518 01:30:43,880 --> 01:30:45,599 Speaker 1: down the street with the snow Princess a few weeks ago. 1519 01:30:45,640 --> 01:30:47,920 Speaker 1: I don't think I told you this and a bird, 1520 01:30:48,680 --> 01:30:52,639 Speaker 1: and I actually have photos of this. A bird like 1521 01:30:53,160 --> 01:30:56,240 Speaker 1: fell like it fell out of a nest almost, but 1522 01:30:56,320 --> 01:30:58,720 Speaker 1: I don't know. It fell right in front of us, 1523 01:30:59,080 --> 01:31:02,240 Speaker 1: and it was beautiful, full, and it was it was 1524 01:31:02,360 --> 01:31:05,240 Speaker 1: very many different colors, and I think we ended up 1525 01:31:05,439 --> 01:31:07,439 Speaker 1: believing that it was At first I thought it was 1526 01:31:07,479 --> 01:31:10,320 Speaker 1: a pet, and then it had fallen. And this was 1527 01:31:10,360 --> 01:31:11,960 Speaker 1: not a bird that you would normally see on a 1528 01:31:12,000 --> 01:31:13,560 Speaker 1: street in New York City. Okay, I've lived through my 1529 01:31:13,600 --> 01:31:15,240 Speaker 1: whole life, so I didn't like pick up a dirty 1530 01:31:15,320 --> 01:31:18,240 Speaker 1: sparrow that you know, looked like it had just come 1531 01:31:18,240 --> 01:31:22,000 Speaker 1: out of some uh you know, mutant experiment with toxic 1532 01:31:22,040 --> 01:31:24,439 Speaker 1: waste in our subway system, right, Like I this was 1533 01:31:24,479 --> 01:31:27,519 Speaker 1: a beautiful bird, different kind of green and yellow colors. 1534 01:31:28,320 --> 01:31:30,559 Speaker 1: It looked like it looked like a parakeet kind of right. 1535 01:31:30,560 --> 01:31:32,799 Speaker 1: It looked like something that would be a pet. So 1536 01:31:33,200 --> 01:31:37,160 Speaker 1: it and the snow Princess being who she is, um, 1537 01:31:37,280 --> 01:31:41,479 Speaker 1: because like I don't know what else to say, small children, dogs, animals, 1538 01:31:41,520 --> 01:31:43,760 Speaker 1: they all like love her, you know, like when she 1539 01:31:43,880 --> 01:31:46,880 Speaker 1: when she sees to Lula, to Lulah and her spend 1540 01:31:46,960 --> 01:31:49,120 Speaker 1: like twenty minutes of just you know, snuggle time because 1541 01:31:49,120 --> 01:31:52,360 Speaker 1: she gets so excited. So so anyway, so she holds 1542 01:31:52,360 --> 01:31:55,000 Speaker 1: out her hand and the bird just hops into her hands. 1543 01:31:55,560 --> 01:31:58,840 Speaker 1: So now I'm thinking, I'm thinking that this has got 1544 01:31:58,840 --> 01:32:01,400 Speaker 1: to be you know, pet. I think I think I 1545 01:32:01,439 --> 01:32:03,639 Speaker 1: got a pet bird, right, I mean, I'm sort of thinking. 1546 01:32:04,880 --> 01:32:09,200 Speaker 1: I'm thinking that this may be a m a thing 1547 01:32:09,240 --> 01:32:11,240 Speaker 1: that's gonna be a And so we walk around to 1548 01:32:11,280 --> 01:32:13,000 Speaker 1: the building in New York City was kind of a 1549 01:32:13,080 --> 01:32:16,200 Speaker 1: large apartment building where I went to the and I 1550 01:32:16,200 --> 01:32:18,680 Speaker 1: felt so weird. I walked to the front desk and 1551 01:32:18,760 --> 01:32:21,960 Speaker 1: I said, hey, um, I don't want to be weird, 1552 01:32:22,000 --> 01:32:24,200 Speaker 1: but I mean she had the bird in her hand still, 1553 01:32:24,240 --> 01:32:25,600 Speaker 1: she was carrying around in her hand. It was just 1554 01:32:25,680 --> 01:32:28,400 Speaker 1: hanging out, just chilling, like not flying away or anything. 1555 01:32:29,040 --> 01:32:31,640 Speaker 1: And we'd go to the front desk we say, hey, 1556 01:32:31,840 --> 01:32:33,400 Speaker 1: do you guys, I know this is weird, but do 1557 01:32:33,400 --> 01:32:35,200 Speaker 1: you guys know if if any of your tenants have 1558 01:32:35,320 --> 01:32:38,479 Speaker 1: like a pet bird, because we think and it couldn't 1559 01:32:38,479 --> 01:32:40,679 Speaker 1: really it tried to fly a little bit, it looked 1560 01:32:40,720 --> 01:32:43,599 Speaker 1: like one of its wings might have been hurt. So 1561 01:32:43,680 --> 01:32:47,320 Speaker 1: we didn't know what really to do, and um, we 1562 01:32:47,360 --> 01:32:49,400 Speaker 1: went in and we talked. The guy said, no, I 1563 01:32:49,400 --> 01:32:51,599 Speaker 1: don't I don't know, and he says it is very pretty. 1564 01:32:51,640 --> 01:32:53,320 Speaker 1: He's like and the guy says, I think you've got 1565 01:32:53,320 --> 01:32:55,200 Speaker 1: a new pet. And I'm looking at her like, look, 1566 01:32:55,320 --> 01:32:57,559 Speaker 1: I don't know. I don't know about just breaking a bird. 1567 01:32:57,560 --> 01:32:59,160 Speaker 1: And she, of course is like, I think we're breaking 1568 01:32:59,160 --> 01:33:00,479 Speaker 1: this bird home, and I'm like, no, I don't know 1569 01:33:00,520 --> 01:33:03,040 Speaker 1: if we're really bringing this bird hug. So we did 1570 01:33:03,040 --> 01:33:05,479 Speaker 1: a little bit of searching. Actually asked my dad, who 1571 01:33:05,560 --> 01:33:09,320 Speaker 1: is an avid birdwatcher, and my dad loves birdwatching, which 1572 01:33:09,360 --> 01:33:12,320 Speaker 1: is I think a surprise to folks because there's this 1573 01:33:12,360 --> 01:33:15,959 Speaker 1: guy who is big into sailing and golf and fishing 1574 01:33:16,000 --> 01:33:19,720 Speaker 1: and gave up hunting, grew up a big hunter, and 1575 01:33:19,760 --> 01:33:21,120 Speaker 1: I actually used to go hunting with him when I 1576 01:33:21,160 --> 01:33:24,400 Speaker 1: was a kid, and he loves birdwatching and knows all 1577 01:33:24,439 --> 01:33:26,639 Speaker 1: about birds. And I sent him a photo and he says, oh, 1578 01:33:26,680 --> 01:33:34,920 Speaker 1: that's a scarlet tanager and it is an American songbird. 1579 01:33:35,640 --> 01:33:40,360 Speaker 1: And it was a female scarlet tanager. I believe that 1580 01:33:40,400 --> 01:33:44,719 Speaker 1: we had. And they are rare in New York City, 1581 01:33:45,280 --> 01:33:48,840 Speaker 1: but you do come across them. And he said that, 1582 01:33:48,960 --> 01:33:50,519 Speaker 1: and then as he says, it's the bird actually did 1583 01:33:50,520 --> 01:33:52,519 Speaker 1: just sort of fly away and looked like it was okay. 1584 01:33:53,200 --> 01:33:55,240 Speaker 1: But I was a fun, little good story buck. I 1585 01:33:55,240 --> 01:33:56,880 Speaker 1: just thought i'd tell everybody. So I had a little 1586 01:33:57,000 --> 01:33:58,960 Speaker 1: we had a little wild Kingdom experiment here in New 1587 01:33:59,040 --> 01:34:00,880 Speaker 1: York City. He was very fun. I totally thought at 1588 01:34:00,880 --> 01:34:02,519 Speaker 1: the beginning of that story that you were going to say, 1589 01:34:02,520 --> 01:34:05,760 Speaker 1: a bird defecated on you. That happens all the time. 1590 01:34:06,800 --> 01:34:08,479 Speaker 1: I've had no I'm sure you would like that. I've 1591 01:34:08,479 --> 01:34:10,800 Speaker 1: had pigeons poop on me so many times. And what 1592 01:34:10,920 --> 01:34:13,320 Speaker 1: I hate is somebody always goes, oh, it's good luck. 1593 01:34:13,360 --> 01:34:16,559 Speaker 1: It is not good luck for a page in the 1594 01:34:16,600 --> 01:34:19,680 Speaker 1: poop on you. There's no good luck, you know. I've 1595 01:34:19,680 --> 01:34:21,400 Speaker 1: had so many people I well, I've walked into my 1596 01:34:21,479 --> 01:34:23,240 Speaker 1: office before. What I was I think what I what? 1597 01:34:23,360 --> 01:34:25,639 Speaker 1: I worked at the the YPD. I was like, oh crap, 1598 01:34:25,640 --> 01:34:28,000 Speaker 1: I got a pigeon. The craped on me. Oh good luck. 1599 01:34:28,080 --> 01:34:31,439 Speaker 1: Someone was saying, no, it is not, it's not good luck. 1600 01:34:32,040 --> 01:34:34,680 Speaker 1: It's so gross. You sit there. It reminds me a 1601 01:34:34,680 --> 01:34:37,120 Speaker 1: little bit of when you're walking in the summertime in 1602 01:34:37,160 --> 01:34:40,000 Speaker 1: New York and and there's you know, the the air 1603 01:34:40,000 --> 01:34:42,679 Speaker 1: condition There's all these external air conditioning units that'll stick 1604 01:34:42,680 --> 01:34:45,679 Speaker 1: out from window and water will drip off of them. 1605 01:34:46,160 --> 01:34:48,720 Speaker 1: And sometimes I don't know how this happens, but I'm 1606 01:34:48,760 --> 01:34:51,160 Speaker 1: sure it's happened to you market definitely, I remember it 1607 01:34:51,200 --> 01:34:54,000 Speaker 1: happening to me. You'll get one of those big drops 1608 01:34:54,160 --> 01:34:56,120 Speaker 1: off of like a rusty old air condition that goes 1609 01:34:56,240 --> 01:35:00,599 Speaker 1: right in your eye and then you just like, what, what 1610 01:35:00,320 --> 01:35:06,120 Speaker 1: what weird? You know, free on and bacteria and like 1611 01:35:06,320 --> 01:35:11,520 Speaker 1: viruses and mold just planted itself right in my eyeball. Yeah, 1612 01:35:11,560 --> 01:35:13,919 Speaker 1: COVID nineteen is nothing compared to some of the liquids 1613 01:35:14,080 --> 01:35:16,639 Speaker 1: experience in New York, sting compared to some of this stuff, 1614 01:35:16,640 --> 01:35:19,080 Speaker 1: did you deal? I'll never remember I used to I 1615 01:35:19,200 --> 01:35:20,479 Speaker 1: used to be a kid. You know, I thought it 1616 01:35:20,520 --> 01:35:21,680 Speaker 1: was cool. This was kind of cool. When I was 1617 01:35:21,680 --> 01:35:24,200 Speaker 1: in college. People would walk around wearing like flip flops 1618 01:35:24,240 --> 01:35:28,400 Speaker 1: with like jeans or whatever. You step in a couple 1619 01:35:28,439 --> 01:35:30,960 Speaker 1: of New York City street puddles, and the kind of 1620 01:35:30,960 --> 01:35:34,679 Speaker 1: puddles where there's a weird, viscous rainbow ee thing above 1621 01:35:34,760 --> 01:35:40,320 Speaker 1: the murky brown sort of you know, toxic waste looking sludge. 1622 01:35:40,800 --> 01:35:42,800 Speaker 1: You step in one or two of those puddles with 1623 01:35:42,880 --> 01:35:46,160 Speaker 1: a flip flop on, You're done. You're never doing that again. 1624 01:35:46,240 --> 01:35:48,240 Speaker 1: I don't know how any human being walks around any 1625 01:35:48,280 --> 01:35:52,920 Speaker 1: city in flip flops, the disgusting stuff that's all around. Yeah, 1626 01:35:52,960 --> 01:35:57,840 Speaker 1: flip flops are for showers and the beach and you 1627 01:35:57,880 --> 01:36:00,439 Speaker 1: know places like that. That's what flip flop ups are for. 1628 01:36:01,160 --> 01:36:03,639 Speaker 1: You know, maybe walking down to your lobby to get 1629 01:36:03,720 --> 01:36:06,599 Speaker 1: the morning paper or something. But it's not for outdoor 1630 01:36:06,680 --> 01:36:11,400 Speaker 1: outdoor I see people do this. Southern fraternity kids love 1631 01:36:11,400 --> 01:36:12,920 Speaker 1: to do this thing where they wear the flip flops 1632 01:36:12,920 --> 01:36:16,679 Speaker 1: with like dress pants or a sear sucker even maybe 1633 01:36:16,720 --> 01:36:20,400 Speaker 1: out in your beautiful beaucolic college campus on the grass 1634 01:36:20,479 --> 01:36:22,720 Speaker 1: or whatever. That's that's one thing but you step into 1635 01:36:22,760 --> 01:36:26,680 Speaker 1: an urban environment, Ringworm friends, I'm just telling you, it's 1636 01:36:26,720 --> 01:36:29,559 Speaker 1: all over the place. Gotta keep those gotta keep your 1637 01:36:29,560 --> 01:36:31,360 Speaker 1: feet clean. One thing, you know, I was talking about 1638 01:36:31,360 --> 01:36:34,880 Speaker 1: comfortable shoes. Gotta take care of your feet. Two things 1639 01:36:34,960 --> 01:36:38,120 Speaker 1: if you learn nothing else team from this show. Two 1640 01:36:38,240 --> 01:36:40,120 Speaker 1: things that the older I get, the more I realize, 1641 01:36:40,160 --> 01:36:41,800 Speaker 1: and older people have been telling me this for a 1642 01:36:41,840 --> 01:36:46,439 Speaker 1: long time. Two things. Take care of your feet. Take 1643 01:36:46,479 --> 01:36:51,280 Speaker 1: care of your teeth enormously important down the line. You 1644 01:36:51,360 --> 01:36:53,240 Speaker 1: want to take the best care of your teeth you can, 1645 01:36:53,400 --> 01:36:55,120 Speaker 1: and take the best care of your feet you can. 1646 01:36:55,520 --> 01:36:58,920 Speaker 1: And step one on feet is comfortable shoes. I'm just saying, 1647 01:36:58,960 --> 01:37:02,360 Speaker 1: comfortable shoes, whatever they are. I don't care if you 1648 01:37:02,400 --> 01:37:05,120 Speaker 1: look like you're walking around with clown shoes on. They 1649 01:37:05,160 --> 01:37:08,479 Speaker 1: make your feet feel good. Wear your clown shoes. See 1650 01:37:08,520 --> 01:37:10,920 Speaker 1: producer Mark, I'm a utilitarian. I'll have to get a 1651 01:37:10,960 --> 01:37:13,840 Speaker 1: pair of clown shoes. Yeah, just don't get a clown nose, 1652 01:37:13,880 --> 01:37:15,840 Speaker 1: because then people think we're doing a different kind of show. 1653 01:37:16,280 --> 01:37:19,120 Speaker 1: All right, I've I have not given enough time to 1654 01:37:19,160 --> 01:37:20,680 Speaker 1: our friends and roll call to We'll make sure we 1655 01:37:20,760 --> 01:37:24,120 Speaker 1: get deeper into it tomorrow. And so with that, I 1656 01:37:24,200 --> 01:37:26,599 Speaker 1: do want to get to it, and remember buck sexton 1657 01:37:26,680 --> 01:37:29,880 Speaker 1: dot com. I'll have an editorial up there tomorrow, in 1658 01:37:29,920 --> 01:37:33,200 Speaker 1: fact is the plan, and you will also post podcast 1659 01:37:33,240 --> 01:37:36,000 Speaker 1: off social media stuff. Your one stop shop for all 1660 01:37:36,040 --> 01:37:40,720 Speaker 1: things buck Sexton is buck sexton dot com. So we 1661 01:37:40,760 --> 01:37:43,720 Speaker 1: want to make that happen. And now we get to 1662 01:37:43,720 --> 01:37:48,200 Speaker 1: the roll call Brandy, right, San Hey, Buck and Mark 1663 01:37:48,840 --> 01:37:51,760 Speaker 1: king Insley has declared we cannot have people at our 1664 01:37:51,800 --> 01:37:55,000 Speaker 1: homes who don't live with us. I can't believe these 1665 01:37:55,000 --> 01:37:58,240 Speaker 1: new regulations. My husband wants to move out of the state. 1666 01:37:58,560 --> 01:38:00,920 Speaker 1: I'm worried it wouldn't be much better than anywhere else. 1667 01:38:01,320 --> 01:38:03,960 Speaker 1: I know your family is still planning on celebrating Thanksgiving 1668 01:38:03,960 --> 01:38:06,960 Speaker 1: together Christmas as well. Oh. I appreciate you and your views. 1669 01:38:07,000 --> 01:38:10,400 Speaker 1: It helps give me clarity, Brandy. Like I said, if 1670 01:38:10,439 --> 01:38:12,639 Speaker 1: somebody feels like they might be a little bit sick 1671 01:38:12,760 --> 01:38:16,200 Speaker 1: or something, you know, we're not going to risk somebody 1672 01:38:16,200 --> 01:38:19,400 Speaker 1: who's symptomatic with COVID being near my parents and or 1673 01:38:19,439 --> 01:38:21,559 Speaker 1: anyone in my family we got I got a new nephew, 1674 01:38:21,600 --> 01:38:26,000 Speaker 1: little baby, and you know, but that's where we draw 1675 01:38:26,080 --> 01:38:28,160 Speaker 1: the line, right, I mean, if everyone feels healthy We're 1676 01:38:28,160 --> 01:38:30,559 Speaker 1: not going to live our lives in a closet and 1677 01:38:30,680 --> 01:38:33,320 Speaker 1: not see each other until there's a vaccine that who 1678 01:38:33,320 --> 01:38:35,519 Speaker 1: even knows how long the distribution's going to take on 1679 01:38:35,560 --> 01:38:40,920 Speaker 1: this thing. So yeah, I'm sorry. I know about the 1680 01:38:41,240 --> 01:38:44,400 Speaker 1: totalitarian impulse of Insley. It's not not a surprise to 1681 01:38:44,439 --> 01:38:47,400 Speaker 1: me at all. And I just I just wish these 1682 01:38:47,439 --> 01:38:50,720 Speaker 1: crazy libs would back off. But they're not going to 1683 01:38:52,040 --> 01:38:53,920 Speaker 1: that much. That much. I think we know for sure 1684 01:38:53,960 --> 01:38:56,080 Speaker 1: they are going to double down, as I've been telling you, 1685 01:38:56,600 --> 01:38:59,040 Speaker 1: Remember I started saying, and I think right around late 1686 01:38:59,120 --> 01:39:01,400 Speaker 1: July into a guest, I said, you know, I've realized 1687 01:39:01,439 --> 01:39:05,479 Speaker 1: here they're not going to open things up after if 1688 01:39:05,479 --> 01:39:07,559 Speaker 1: Biden wins. And I know, let's just assume that it's 1689 01:39:07,560 --> 01:39:09,400 Speaker 1: a win for now. I know we're still fighting this out, 1690 01:39:09,400 --> 01:39:11,439 Speaker 1: but you know what I mean, they think it's a 1691 01:39:11,439 --> 01:39:13,479 Speaker 1: win for sure. They're not opening things up. No, they're 1692 01:39:13,520 --> 01:39:16,519 Speaker 1: locking you down even more. They like this power. You 1693 01:39:16,560 --> 01:39:18,679 Speaker 1: think they want to give up all this authority, all 1694 01:39:18,680 --> 01:39:23,479 Speaker 1: this delicious, wondrous ability to dictate to you. You think 1695 01:39:23,479 --> 01:39:27,839 Speaker 1: they want to let that go? Oh? I don't think so. Friends, 1696 01:39:28,520 --> 01:39:32,840 Speaker 1: They're liking it. Matthew, Oh, but that said, Brandy, keep 1697 01:39:32,840 --> 01:39:35,040 Speaker 1: the faith, and at least if you're in Washington State, 1698 01:39:35,080 --> 01:39:37,759 Speaker 1: you have the beautiful coast there. I think the Pacific 1699 01:39:37,800 --> 01:39:43,400 Speaker 1: Northwest is one of the one of the underappreciated gems 1700 01:39:43,400 --> 01:39:47,000 Speaker 1: in terms of geography and the landscape. There's something really 1701 01:39:47,040 --> 01:39:50,360 Speaker 1: beautiful about the coast line up there, all right, Matthew, 1702 01:39:51,080 --> 01:39:55,280 Speaker 1: Hey Buck, I find your argument for conservatives building unsingable 1703 01:39:55,320 --> 01:39:58,160 Speaker 1: aircraft carriers or free speech to be highly thought provoking. 1704 01:39:58,760 --> 01:40:00,720 Speaker 1: Recently in the news, I saw the CNN will be 1705 01:40:00,800 --> 01:40:03,639 Speaker 1: up for sale. If Trump doesn't win reelection, he should 1706 01:40:03,640 --> 01:40:06,920 Speaker 1: buy CNN and completely reform it. Imagine if in twenty 1707 01:40:07,000 --> 01:40:10,519 Speaker 1: twenty four he campaigns on his stellar presidential record and 1708 01:40:10,600 --> 01:40:13,120 Speaker 1: the fact that he reformed fake news. I find the 1709 01:40:13,120 --> 01:40:16,439 Speaker 1: thought of Trump buying CNN highly satisfying. What are your thoughts? 1710 01:40:16,880 --> 01:40:19,439 Speaker 1: PS love the Dracula podcast. Keep up the good work, 1711 01:40:19,479 --> 01:40:26,720 Speaker 1: Shields High, Matthew, that would be fun. I don't think 1712 01:40:26,720 --> 01:40:28,840 Speaker 1: Trump is going to buy CNN. I think that there 1713 01:40:28,840 --> 01:40:30,920 Speaker 1: would be people who would block a sale even if 1714 01:40:30,920 --> 01:40:34,760 Speaker 1: Trump wanted to do that of CNN. Imagine if they 1715 01:40:34,800 --> 01:40:36,960 Speaker 1: bought it and we started calling it the conservative news network. 1716 01:40:37,000 --> 01:40:39,240 Speaker 1: Wouldn't that be amazing. Wouldn't it be great just do 1717 01:40:39,280 --> 01:40:41,519 Speaker 1: a total house cleaning, get rid of all those journeys. 1718 01:40:41,520 --> 01:40:45,280 Speaker 1: They'd all find jobs at PBS and ABC and NBC, 1719 01:40:45,439 --> 01:40:48,240 Speaker 1: and they'd all be fine. All that'll you know, maybe 1720 01:40:48,240 --> 01:40:50,400 Speaker 1: they wouldn't be making the absurd salaries that some of 1721 01:40:50,400 --> 01:40:54,040 Speaker 1: them do, because it's really about creating the It's like 1722 01:40:54,040 --> 01:40:56,920 Speaker 1: a patronage network for connected liberals. Right. You go there, 1723 01:40:57,160 --> 01:40:59,840 Speaker 1: whether you're a contributor or a host, they pay you 1724 01:41:00,040 --> 01:41:03,800 Speaker 1: whatever the legacy media institution bosses say you should get 1725 01:41:03,840 --> 01:41:05,960 Speaker 1: you know, say that you should get paid. That's your 1726 01:41:05,960 --> 01:41:08,800 Speaker 1: salary there. It's really not linked to any specific because 1727 01:41:08,800 --> 01:41:10,760 Speaker 1: the entity itself is what's bringing in the money. The 1728 01:41:10,800 --> 01:41:14,840 Speaker 1: CNN brand. Everyone there is entirely replaceable, right, So it's 1729 01:41:14,840 --> 01:41:16,920 Speaker 1: just what does Zucker think of you, which is why 1730 01:41:17,000 --> 01:41:19,160 Speaker 1: he has so much sway over what people there say 1731 01:41:19,240 --> 01:41:21,120 Speaker 1: in their career. You know, if you're if you're a 1732 01:41:21,160 --> 01:41:24,920 Speaker 1: CNN employee, whatever Jeff Zucker decides about you and your 1733 01:41:24,960 --> 01:41:28,840 Speaker 1: future and your income, that is what it is, at 1734 01:41:28,880 --> 01:41:31,760 Speaker 1: least while you're at CNN. And I'm glad you like 1735 01:41:31,800 --> 01:41:34,679 Speaker 1: the Dracula podcast, Matthew. We got some really good response 1736 01:41:34,680 --> 01:41:37,080 Speaker 1: on that, so there will be now more shield Tie podcasts. 1737 01:41:37,080 --> 01:41:40,000 Speaker 1: We're actually working on getting some advertisers lined up for them, 1738 01:41:40,000 --> 01:41:41,639 Speaker 1: because we're going to do at least a series of six, 1739 01:41:41,720 --> 01:41:44,519 Speaker 1: if not eight, and we're gonna hopefully release them by 1740 01:41:44,560 --> 01:41:46,720 Speaker 1: the end of this year or early in twenty twenty one, 1741 01:41:46,720 --> 01:41:51,439 Speaker 1: in January. That's the schedule for it right now. Charlie, Hey, 1742 01:41:51,479 --> 01:41:54,280 Speaker 1: buck love the show. You've got a great perspective. I 1743 01:41:54,360 --> 01:41:56,760 Speaker 1: just have to question your thoughts about the election. You 1744 01:41:56,800 --> 01:41:59,160 Speaker 1: seem to think that we'll accept election results if in 1745 01:41:59,200 --> 01:42:02,000 Speaker 1: fact they showed Joe Biden winning. Do you truly believe 1746 01:42:02,000 --> 01:42:04,160 Speaker 1: that all the weird anomalies that happen November four to 1747 01:42:04,200 --> 01:42:07,439 Speaker 1: show anything other than fraud? The statistical data is literally 1748 01:42:07,479 --> 01:42:09,479 Speaker 1: not adding up to a Biden win in many ways. 1749 01:42:09,800 --> 01:42:11,880 Speaker 1: How will we ever accept this win? And what is 1750 01:42:11,880 --> 01:42:15,479 Speaker 1: you're taking the conservative people's response to it? Shields High, Charlie. 1751 01:42:15,520 --> 01:42:19,080 Speaker 1: When I say accept it, that's not to say that 1752 01:42:19,200 --> 01:42:22,599 Speaker 1: I agree with it or that I don't think that 1753 01:42:22,640 --> 01:42:26,680 Speaker 1: there may still have been fraud and irregularities based on 1754 01:42:26,760 --> 01:42:30,000 Speaker 1: exactly what you're talking about, But I would ask you 1755 01:42:30,160 --> 01:42:33,519 Speaker 1: what really is the alternative? I mean, if we go 1756 01:42:33,600 --> 01:42:37,000 Speaker 1: through the process, and the process, imperfect as it may be, 1757 01:42:37,680 --> 01:42:40,479 Speaker 1: does end up spitting out at the end that Joe 1758 01:42:40,520 --> 01:42:42,640 Speaker 1: Biden is a head in the electoral College and has 1759 01:42:42,680 --> 01:42:46,439 Speaker 1: the two seventy required right right, we respect law and order, 1760 01:42:46,479 --> 01:42:49,760 Speaker 1: we respect the system. He's then the president, and we 1761 01:42:49,800 --> 01:42:53,160 Speaker 1: move forward. That's how it happens. I don't see an alternative. 1762 01:42:53,560 --> 01:42:57,240 Speaker 1: I don't see any other way. And when you start 1763 01:42:57,280 --> 01:42:59,080 Speaker 1: thinking about what the alternatives are, I think you go 1764 01:42:59,120 --> 01:43:02,280 Speaker 1: down a very dangerous path very quickly. So no, we 1765 01:43:02,280 --> 01:43:06,600 Speaker 1: we will. We will accept the outcome of the process. 1766 01:43:06,640 --> 01:43:08,960 Speaker 1: That's not to say we will agree with it or 1767 01:43:09,040 --> 01:43:15,000 Speaker 1: refrain from believing that the process may have been tainted. 1768 01:43:15,040 --> 01:43:17,320 Speaker 1: But that's all we have for This is the process. 1769 01:43:17,360 --> 01:43:19,760 Speaker 1: There's no way around it. So I think that's the 1770 01:43:19,800 --> 01:43:21,960 Speaker 1: best way I can answer your question. Charlie, And thank 1771 01:43:21,960 --> 01:43:26,880 Speaker 1: you so much for writing in You're in the Freedom Hunt. 1772 01:43:27,320 --> 01:43:33,600 Speaker 1: This is the Buck Sexton Show podcast. All right, we 1773 01:43:33,720 --> 01:43:37,519 Speaker 1: got more roll call, Danielle writes in, Hey, bucking producer 1774 01:43:37,600 --> 01:43:40,880 Speaker 1: Mark love the show. I listened on Radio kf ab 1775 01:43:41,080 --> 01:43:45,200 Speaker 1: Omaha podcast and lately I've been watching the first as well. Well. 1776 01:43:45,240 --> 01:43:47,680 Speaker 1: Thanks so much, folks. You can always watch me on 1777 01:43:47,800 --> 01:43:50,920 Speaker 1: demand on the first Just download the first TV app 1778 01:43:51,160 --> 01:43:52,960 Speaker 1: look for the Buck Sexton show. We put not a 1779 01:43:52,960 --> 01:43:54,719 Speaker 1: show every day if you want to watch the TV 1780 01:43:54,840 --> 01:43:57,640 Speaker 1: show of Buck Sexton, which I hope you do. And 1781 01:43:57,720 --> 01:44:01,519 Speaker 1: as for k kf aby Omaha, great heritage radio station 1782 01:44:01,960 --> 01:44:04,479 Speaker 1: that I'm so appreciative. You know, they put me on 1783 01:44:04,520 --> 01:44:06,599 Speaker 1: early in my radio career and have stayed with me, 1784 01:44:06,840 --> 01:44:12,200 Speaker 1: and we've built such a fantastic, loyal and large audience there. 1785 01:44:13,000 --> 01:44:15,000 Speaker 1: So big thanks to the folks of k f ab 1786 01:44:15,120 --> 01:44:18,839 Speaker 1: Omaha for keeping us, keeping us early on and straight 1787 01:44:18,840 --> 01:44:23,000 Speaker 1: through on their on their list there on their rundown. 1788 01:44:24,040 --> 01:44:26,479 Speaker 1: He writes. Also, I've been wanting to tell you for 1789 01:44:26,479 --> 01:44:28,479 Speaker 1: a while now how impressed I am with your call 1790 01:44:28,560 --> 01:44:31,920 Speaker 1: to wartime conservatism. It reminds me of William Wallace and 1791 01:44:31,960 --> 01:44:34,439 Speaker 1: Braveheart when he tells Robert the Bruce, if we join, 1792 01:44:34,520 --> 01:44:36,400 Speaker 1: we can win, and if we win, we'll have something 1793 01:44:36,439 --> 01:44:39,320 Speaker 1: we've never had before, a country of our own. Keep 1794 01:44:39,400 --> 01:44:41,360 Speaker 1: up the great work, Shields High Well, Daniels. You know 1795 01:44:41,439 --> 01:44:44,720 Speaker 1: Braveheart is my favorite movie. So any comparison of any 1796 01:44:44,800 --> 01:44:47,479 Speaker 1: kind between the work that I do and some of 1797 01:44:47,520 --> 01:44:49,840 Speaker 1: the great lines in the movie Braveheart makes me smile 1798 01:44:49,920 --> 01:44:51,800 Speaker 1: ear to ear, so thank you so much for that. 1799 01:44:52,479 --> 01:44:55,559 Speaker 1: And yeah, for anyone who has not seen Braveheart, I mean, 1800 01:44:55,760 --> 01:44:58,559 Speaker 1: come on, you've seen it. Reproducer are of course sure. 1801 01:44:58,560 --> 01:45:00,840 Speaker 1: I've asked you that a long time ago. But yeah, yeah, okay, 1802 01:45:00,840 --> 01:45:02,240 Speaker 1: I'm just you just don't have to see it once. 1803 01:45:02,280 --> 01:45:04,479 Speaker 1: I'm not you know, I'm not not that crazy, but 1804 01:45:04,520 --> 01:45:07,200 Speaker 1: you gotta see it. Rick writes Buck, you have me 1805 01:45:07,320 --> 01:45:09,960 Speaker 1: laughing with your Obama impersonation today. Good stuff. Keep up 1806 01:45:09,960 --> 01:45:12,760 Speaker 1: the good work and shields hie. Thank you, Rick. I 1807 01:45:12,800 --> 01:45:15,320 Speaker 1: don't even remember doing the Obama impersonation. I think it 1808 01:45:15,360 --> 01:45:17,680 Speaker 1: just sort of comes out of me sometimes we do 1809 01:45:17,760 --> 01:45:19,320 Speaker 1: a lot back in the day when he was president. 1810 01:45:19,400 --> 01:45:21,920 Speaker 1: I'm gonna have to really work on a little bit 1811 01:45:21,960 --> 01:45:25,720 Speaker 1: more of a Joe Biden impersonation. I think I kind 1812 01:45:25,720 --> 01:45:27,640 Speaker 1: of got it. It's like a you know, it's an 1813 01:45:27,640 --> 01:45:30,920 Speaker 1: old guy who kind of yells, has some fall back 1814 01:45:31,080 --> 01:45:34,599 Speaker 1: slogans and phrases that he uses, so we'll get there. 1815 01:45:34,800 --> 01:45:38,439 Speaker 1: You need a Kamala. Kamala's not easy. There's no I 1816 01:45:38,439 --> 01:45:41,320 Speaker 1: don't see an impersonation of her. I don't know. I've 1817 01:45:41,680 --> 01:45:43,320 Speaker 1: I agree with you that that would be good, but 1818 01:45:43,400 --> 01:45:45,640 Speaker 1: I don't you know, I don't know. I'd have to 1819 01:45:45,640 --> 01:45:48,200 Speaker 1: really work on I'll tell you this. I've never heard 1820 01:45:48,840 --> 01:45:51,760 Speaker 1: a good impersonation of Kamala Harris, so that makes me 1821 01:45:51,800 --> 01:45:53,720 Speaker 1: think it'd be a difficult one to do, you know 1822 01:45:53,760 --> 01:45:55,479 Speaker 1: what I mean. I mean, I know you hate SNL, 1823 01:45:55,560 --> 01:45:58,920 Speaker 1: but Maya Rudolph, just because she looks a lot like Kamala, 1824 01:45:59,120 --> 01:46:01,799 Speaker 1: does do a pretty good one. There are some talented 1825 01:46:01,840 --> 01:46:04,439 Speaker 1: people on SNL. I mean, I do give credit where 1826 01:46:04,439 --> 01:46:08,000 Speaker 1: it's due. But she was part of the pre woke 1827 01:46:08,200 --> 01:46:11,200 Speaker 1: SNL and now she's back to play Kamala. I love 1828 01:46:11,439 --> 01:46:13,720 Speaker 1: SNL in the and they were all libs then too, 1829 01:46:13,720 --> 01:46:16,240 Speaker 1: but they weren't annoying about it. SNL and the Mike Myers, 1830 01:46:16,760 --> 01:46:21,759 Speaker 1: Dana Carvey, Chris Farley era with you know, Phil Hartman 1831 01:46:22,040 --> 01:46:24,720 Speaker 1: rip and you know, a whole bunch. I mean, that 1832 01:46:24,840 --> 01:46:27,559 Speaker 1: was great, it was. It was great even when it 1833 01:46:27,640 --> 01:46:29,840 Speaker 1: wasn't that funny. It was all in a spirit of 1834 01:46:29,880 --> 01:46:32,559 Speaker 1: fun and comedy and it was worth watching, you know. 1835 01:46:32,600 --> 01:46:35,760 Speaker 1: I in those years, the early two thousands, SNL in 1836 01:46:35,840 --> 01:46:39,000 Speaker 1: late nineties, early two thousands, I thought it was really fantastic, 1837 01:46:39,280 --> 01:46:40,640 Speaker 1: all right, that's gonna be able to get to more 1838 01:46:40,720 --> 01:46:43,240 Speaker 1: roll call tomorrow. Friends, be sure to check out bucksxon 1839 01:46:43,320 --> 01:46:45,240 Speaker 1: dot com, shields high