1 00:00:10,880 --> 00:00:15,520 Speaker 1: You are entering the freedom Huch do libs want to 2 00:00:15,560 --> 00:00:21,239 Speaker 1: cancel Christmas? Two Antifa attacks, Amagaroli in DC, more good 3 00:00:21,320 --> 00:00:26,960 Speaker 1: vaccine news, Washington and Michigan imposed lockdowns and exodus from NYC. 4 00:00:27,480 --> 00:00:31,440 Speaker 1: Is really this is the Buck Sexon Show, where the 5 00:00:31,480 --> 00:00:34,720 Speaker 1: mission or mission is to decode what really matters with 6 00:00:34,880 --> 00:00:41,880 Speaker 1: passionable intelligence, Make no mistakes, are great American? Again the 7 00:00:42,080 --> 00:00:52,560 Speaker 1: Buck Sexon Show begins. He's a great guy. No welcome everybody. 8 00:00:52,680 --> 00:00:56,160 Speaker 1: We are in the middle of November. We're getting close 9 00:00:56,320 --> 00:00:59,760 Speaker 1: to Thanksgiving, and then after that it's going to be 10 00:01:00,400 --> 00:01:07,440 Speaker 1: a rapid a rapid schedule for the holiday period, Christmas, Hanukka, 11 00:01:07,520 --> 00:01:11,400 Speaker 1: New Year's fantastic stuff on the horizon. Except we all 12 00:01:11,440 --> 00:01:15,320 Speaker 1: know that there is this growing movement in the country 13 00:01:16,080 --> 00:01:20,800 Speaker 1: from people who are lockdowners, leftists, statists, people that are 14 00:01:21,240 --> 00:01:25,520 Speaker 1: obsessed with controlling others, or who have been overcome with 15 00:01:25,560 --> 00:01:28,960 Speaker 1: their own anxieties and fears. They want to tell you 16 00:01:29,000 --> 00:01:32,840 Speaker 1: that you're not really allowed to have a holiday, or 17 00:01:32,880 --> 00:01:35,039 Speaker 1: if you have a holiday, it needs to be outside. 18 00:01:35,520 --> 00:01:37,720 Speaker 1: You can only have certain family members, you can't go 19 00:01:37,760 --> 00:01:41,959 Speaker 1: above ten people. And this is all because if you 20 00:01:42,040 --> 00:01:46,600 Speaker 1: don't you're being reckless and people will will literally die 21 00:01:46,760 --> 00:01:51,400 Speaker 1: because of that recklessness. We need to reject this. Enough 22 00:01:51,480 --> 00:01:55,320 Speaker 1: is enough. It's time for us to say back off 23 00:01:55,840 --> 00:01:58,640 Speaker 1: or blank off, if you will. It's time for us 24 00:01:58,680 --> 00:02:01,880 Speaker 1: to tell people that we're not going to sit around 25 00:02:01,960 --> 00:02:07,920 Speaker 1: anymore and allow government authorities to make these on the fly, 26 00:02:08,360 --> 00:02:11,720 Speaker 1: see to the pant's decisions that don't ever have the 27 00:02:11,800 --> 00:02:15,079 Speaker 1: intended outcome. Right, whatever it is, if it's a lockdown now, 28 00:02:15,160 --> 00:02:17,000 Speaker 1: or if it's a lockdown in a month, it will 29 00:02:17,000 --> 00:02:20,760 Speaker 1: be temporary and it will eventually recede. It will happen, 30 00:02:20,880 --> 00:02:22,440 Speaker 1: and then it will stop happening, and then they'll be 31 00:02:22,440 --> 00:02:25,919 Speaker 1: more virus and we'll keep going wash, rinse, repeat. That's 32 00:02:26,000 --> 00:02:27,920 Speaker 1: what we are going through right now as a country, 33 00:02:27,919 --> 00:02:31,440 Speaker 1: and have been for many months. But they don't want 34 00:02:31,480 --> 00:02:34,880 Speaker 1: you to start thinking just because of the promising news 35 00:02:34,880 --> 00:02:38,120 Speaker 1: about a vaccine now another vaccine, this one of moderna 36 00:02:38,240 --> 00:02:45,000 Speaker 1: with ninety four plus percent effectiveness in giving someone protection 37 00:02:45,040 --> 00:02:48,600 Speaker 1: against this virus. Let's all understand there's already some portion 38 00:02:48,600 --> 00:02:52,080 Speaker 1: of the population that has either just good enough immunity 39 00:02:52,080 --> 00:02:54,640 Speaker 1: that they won't even show symptoms from this, or they 40 00:02:54,639 --> 00:02:58,200 Speaker 1: have antibodies and T cell immunity from either cross exposure 41 00:02:58,200 --> 00:03:01,239 Speaker 1: to similar enough viruses or from this virus in the past. 42 00:03:01,760 --> 00:03:05,680 Speaker 1: When you start adding a ninety four to almost ninety 43 00:03:05,720 --> 00:03:08,280 Speaker 1: five percent effective vaccine into the mix, which is far 44 00:03:08,520 --> 00:03:14,160 Speaker 1: higher than what was anticipated, we're getting much closer to 45 00:03:14,320 --> 00:03:17,880 Speaker 1: this being a situation where it's absurd. It's frankly absurd. 46 00:03:17,919 --> 00:03:21,239 Speaker 1: It's wrong to continue to insist that people not live 47 00:03:21,280 --> 00:03:25,680 Speaker 1: their lives because of the risk. Here. Nobody thinks that 48 00:03:25,720 --> 00:03:29,640 Speaker 1: we should build public policy off of a zero risk 49 00:03:29,760 --> 00:03:34,200 Speaker 1: tolerance posture, And if anyone's going to question that, we 50 00:03:34,200 --> 00:03:36,920 Speaker 1: would just say it is true. And I know that 51 00:03:36,960 --> 00:03:41,360 Speaker 1: there's been all this antiflubro stuff over this year because 52 00:03:41,400 --> 00:03:43,960 Speaker 1: this is not the flu. It's different. It's worse for 53 00:03:44,040 --> 00:03:46,920 Speaker 1: older people. But every year tens of thousands of people 54 00:03:46,960 --> 00:03:49,160 Speaker 1: die from the flu, and we don't shut down society 55 00:03:49,200 --> 00:03:52,080 Speaker 1: over it. And you could certainly make an argument if 56 00:03:52,120 --> 00:03:56,000 Speaker 1: we entirely shut down society it would lessen flu cases, 57 00:03:56,280 --> 00:03:58,600 Speaker 1: but there would be catastrophic costs that would come with that, 58 00:03:58,680 --> 00:04:01,000 Speaker 1: especially if it were a yearly accase Asian So what 59 00:04:01,040 --> 00:04:04,880 Speaker 1: do we do. We tell people to try to be sensible, 60 00:04:05,320 --> 00:04:10,240 Speaker 1: take individual take personal precautions, get the vaccine if you're 61 00:04:10,240 --> 00:04:13,320 Speaker 1: an older person, although flu vaccines are really thirty to 62 00:04:13,360 --> 00:04:16,880 Speaker 1: fifty percent effective in most years. And then we all 63 00:04:16,880 --> 00:04:19,839 Speaker 1: live our lives because we do not exist in a 64 00:04:19,880 --> 00:04:24,160 Speaker 1: society where the state promises you perfect health. You know, 65 00:04:24,240 --> 00:04:27,279 Speaker 1: I understand that we have an average life expectancy now 66 00:04:27,760 --> 00:04:31,799 Speaker 1: deep into the seventies. But that doesn't mean the government 67 00:04:31,839 --> 00:04:35,080 Speaker 1: guarantees anyone that they'll make it deep into their seventies, 68 00:04:35,160 --> 00:04:38,480 Speaker 1: or even their eighties, or perhaps even their nineties, right, 69 00:04:38,560 --> 00:04:40,640 Speaker 1: which would be fantastic, and a lot of us hopefully 70 00:04:40,640 --> 00:04:43,120 Speaker 1: we'll make it there. But there are no guarantees in life, friends, 71 00:04:44,200 --> 00:04:49,120 Speaker 1: And to build a government policy around that is destructive. 72 00:04:50,080 --> 00:04:57,640 Speaker 1: It's also unconstitutional. It's eroding the relationship between free people 73 00:04:57,760 --> 00:05:00,160 Speaker 1: and a government that are supposed to be representative but 74 00:05:01,600 --> 00:05:07,680 Speaker 1: limited as well right representative of our interests and supporting them, 75 00:05:08,120 --> 00:05:10,040 Speaker 1: but also knows that there are some areas that it 76 00:05:10,400 --> 00:05:13,880 Speaker 1: cannot transgress. It just can't go. It's not the government's mandate, 77 00:05:13,920 --> 00:05:17,640 Speaker 1: it's not its job. It should be troubling. Then, when 78 00:05:17,640 --> 00:05:22,120 Speaker 1: you have little fauci over the weekend, this guy has 79 00:05:22,160 --> 00:05:25,880 Speaker 1: still to this day not said anything that I could 80 00:05:25,920 --> 00:05:28,600 Speaker 1: point to and say, you know what, this was really helpful. 81 00:05:29,040 --> 00:05:31,440 Speaker 1: This was a game changer for us. This must have 82 00:05:31,480 --> 00:05:34,240 Speaker 1: saved a lot of lives. No, in fact, that critical 83 00:05:34,320 --> 00:05:37,400 Speaker 1: junctures his advice has been wrong, and it really just 84 00:05:37,480 --> 00:05:41,800 Speaker 1: comes down to be afraid, panic, avoid each other, and 85 00:05:41,960 --> 00:05:44,360 Speaker 1: give up as much as you possibly can of your 86 00:05:44,400 --> 00:05:46,520 Speaker 1: life while we try to figure out what the heck 87 00:05:46,520 --> 00:05:48,599 Speaker 1: we're doing. That's really the sum total of what his 88 00:05:48,680 --> 00:05:53,560 Speaker 1: strategy has been. And that's why when he says something 89 00:05:53,600 --> 00:05:56,080 Speaker 1: like this, now I understand that it was fake Tapper 90 00:05:56,120 --> 00:05:59,840 Speaker 1: who even goes to the so no Christmas point in 91 00:05:59,839 --> 00:06:03,600 Speaker 1: the conversation. But over the weekend, this is the the 92 00:06:03,640 --> 00:06:08,120 Speaker 1: top infectious disease expert of the United States government, and 93 00:06:09,200 --> 00:06:12,160 Speaker 1: here he is telling everybody. You know, now, not only 94 00:06:12,200 --> 00:06:15,279 Speaker 1: are we going to have to more or less canceled Thanksgiving, 95 00:06:15,279 --> 00:06:19,159 Speaker 1: we've also got to be prepared for the opposite of 96 00:06:19,160 --> 00:06:23,200 Speaker 1: a jolly Christmas. You know, you can sit alone hoping 97 00:06:23,279 --> 00:06:26,039 Speaker 1: you don't get some virus in your house, in your apartment, 98 00:06:26,480 --> 00:06:29,600 Speaker 1: and zoom family members from far away, because everyone now 99 00:06:29,720 --> 00:06:32,240 Speaker 1: is just a vector for disease and you can't take 100 00:06:32,279 --> 00:06:35,440 Speaker 1: any risks for anyone. Here's how some of that exchange 101 00:06:35,440 --> 00:06:37,919 Speaker 1: went and play the clip. The vaccine, it's got to 102 00:06:37,960 --> 00:06:43,120 Speaker 1: be deployed, and we can't abandon fundamental public health measures. 103 00:06:43,480 --> 00:06:46,960 Speaker 1: You can approach a degree of normality while still doing 104 00:06:47,000 --> 00:06:51,800 Speaker 1: some fundamental public health things that synergize with the vaccine 105 00:06:52,040 --> 00:06:54,200 Speaker 1: to get us back to normal. So not until the 106 00:06:54,240 --> 00:06:57,040 Speaker 1: second or third quarter of twenty twenty one, though Christmas 107 00:06:57,120 --> 00:07:03,040 Speaker 1: is probably not going to be possy. Well, you know, 108 00:07:03,160 --> 00:07:06,120 Speaker 1: I think that if we get most of the country 109 00:07:06,200 --> 00:07:12,680 Speaker 1: vaccinated in so we're not going to have vaccines by 110 00:07:12,720 --> 00:07:14,240 Speaker 1: the end of the year. We've known that, but they 111 00:07:14,240 --> 00:07:17,000 Speaker 1: will start in the new year. But in the meantime, 112 00:07:17,040 --> 00:07:19,160 Speaker 1: what do we do? This is where the debate now lies. 113 00:07:20,120 --> 00:07:23,200 Speaker 1: What should we think is acceptable between now and when 114 00:07:23,280 --> 00:07:27,400 Speaker 1: vaccine distribution actually happens. And they're going back to lockdowns, 115 00:07:27,400 --> 00:07:30,080 Speaker 1: even though the evidence of lockdowns work and save lives 116 00:07:30,720 --> 00:07:33,480 Speaker 1: is questionable at best. And we have a government that's 117 00:07:33,520 --> 00:07:38,800 Speaker 1: basing major policy decisions now a bureaucracy, And yes, the 118 00:07:38,840 --> 00:07:42,240 Speaker 1: Trump administration hasn't pushed back on this as forcefully as 119 00:07:42,280 --> 00:07:44,840 Speaker 1: I think it should have. The Democrats, of course, are 120 00:07:44,840 --> 00:07:47,200 Speaker 1: extreme lockdown ers. They love this power, and we'll get 121 00:07:47,240 --> 00:07:50,560 Speaker 1: into their hopes they can use this far beyond just 122 00:07:50,600 --> 00:07:52,720 Speaker 1: the pandemic, which I've been telling you all along would 123 00:07:52,760 --> 00:07:55,920 Speaker 1: be their reality. But we have to actually fight back 124 00:07:55,960 --> 00:07:59,560 Speaker 1: against this. I mean, Michigan and Washington State have both 125 00:07:59,560 --> 00:08:03,960 Speaker 1: gone into three week stay at home order lockdowns, So 126 00:08:04,040 --> 00:08:07,640 Speaker 1: those are now states where they're pushing even the more 127 00:08:07,640 --> 00:08:09,600 Speaker 1: extreme from what we saw the early stage of the 128 00:08:09,640 --> 00:08:13,560 Speaker 1: pandemic restrictions. And that was why doctor Scott Atlas, who 129 00:08:13,600 --> 00:08:16,160 Speaker 1: was one of the President's advisors on coronavirus, over the 130 00:08:16,160 --> 00:08:18,880 Speaker 1: weekend tweeted out that it's time to rise up against 131 00:08:18,920 --> 00:08:20,800 Speaker 1: this stuff. Now. He didn't mean violence, I know the 132 00:08:20,840 --> 00:08:23,360 Speaker 1: Libs always jumped to that. He just means got to 133 00:08:23,360 --> 00:08:26,320 Speaker 1: tell people, know, you gotta tell people. I'm sorry, We're 134 00:08:26,360 --> 00:08:28,280 Speaker 1: not just going to keep obeying these rules because there's 135 00:08:28,280 --> 00:08:30,680 Speaker 1: some people there who aren't terrified. I mean, if you're 136 00:08:30,680 --> 00:08:33,880 Speaker 1: thirty years old and you're terrified of COVID, chances are 137 00:08:33,920 --> 00:08:37,079 Speaker 1: you're just not very well informed, unless you happen to 138 00:08:37,120 --> 00:08:40,320 Speaker 1: be a very very small percentage of people out there 139 00:08:41,040 --> 00:08:48,319 Speaker 1: who have a kind of immunocompromise state that would make 140 00:08:48,360 --> 00:08:52,920 Speaker 1: them very susceptible to this. But that's we're talking about 141 00:08:52,920 --> 00:08:56,480 Speaker 1: the exception, not the rule. Here. For most people in 142 00:08:56,520 --> 00:08:58,960 Speaker 1: their thirties and their forties, this is not a big deal. 143 00:08:59,640 --> 00:09:02,000 Speaker 1: I just spoke to someone of the weekend. Her whole 144 00:09:02,040 --> 00:09:05,679 Speaker 1: family's got COVID. They feel like they've got some cold symptoms, 145 00:09:05,720 --> 00:09:08,840 Speaker 1: they're basically fine, and they're all in their thirties and 146 00:09:08,840 --> 00:09:11,319 Speaker 1: they've got young children. But this is the standard that 147 00:09:11,720 --> 00:09:13,839 Speaker 1: ends up happening across the country for so many people. 148 00:09:14,640 --> 00:09:17,080 Speaker 1: If you're eighty five, you know you're at tremendous risk 149 00:09:17,160 --> 00:09:19,880 Speaker 1: from the normal flu in any given year, as well 150 00:09:19,920 --> 00:09:23,160 Speaker 1: as the possibility of just getting pneumonia from a variety 151 00:09:23,160 --> 00:09:26,199 Speaker 1: of other infections. People who are at that age range 152 00:09:26,240 --> 00:09:29,240 Speaker 1: are at risk from a lot of diseases, and yes, 153 00:09:29,400 --> 00:09:33,760 Speaker 1: COVID has been a particularly a particularly serious risk in 154 00:09:33,800 --> 00:09:38,040 Speaker 1: this year. But we're treating all of society. I mean, 155 00:09:38,160 --> 00:09:42,600 Speaker 1: the government's policies effectively act like everyone is in their eighties. Now. 156 00:09:42,679 --> 00:09:44,840 Speaker 1: That's not to say that we shouldn't take those steps 157 00:09:44,960 --> 00:09:48,200 Speaker 1: four people in their eighties, but that's the focused protection 158 00:09:48,240 --> 00:09:51,800 Speaker 1: that we talked about in the Great Barrington Declaration. That 159 00:09:51,840 --> 00:09:55,880 Speaker 1: would be far more sensible. I am not afraid of 160 00:09:55,920 --> 00:09:58,000 Speaker 1: getting COVID. I don't want to give COVID to anyone 161 00:09:58,000 --> 00:10:00,640 Speaker 1: who's in their seventies or their eighties, and so I 162 00:10:00,640 --> 00:10:03,200 Speaker 1: would limit my exposure to those people, and I would 163 00:10:03,240 --> 00:10:04,559 Speaker 1: make sure that there would be any you know, that 164 00:10:04,600 --> 00:10:07,600 Speaker 1: I would have precautions taken. But I'm not worried about 165 00:10:07,600 --> 00:10:09,680 Speaker 1: getting COVID, And quite honestly, I'm not worried about giving 166 00:10:09,720 --> 00:10:12,640 Speaker 1: COVID accidentally to somebody else who's in the thirties or 167 00:10:12,679 --> 00:10:16,640 Speaker 1: forties if I'm asymptomatic, because the chances of them being 168 00:10:16,679 --> 00:10:20,160 Speaker 1: particularly sick with it are also very very low. These 169 00:10:20,200 --> 00:10:22,480 Speaker 1: are the things that we've actually learned about this virus, 170 00:10:22,520 --> 00:10:27,040 Speaker 1: about this disease. But they're not letting go of the 171 00:10:27,080 --> 00:10:30,120 Speaker 1: iron grip of control here. They're acting like they've figured 172 00:10:30,160 --> 00:10:33,800 Speaker 1: this stuff out, like they know what needs to be done. 173 00:10:34,960 --> 00:10:39,000 Speaker 1: Here is doctor Fauci telling people that even after you 174 00:10:39,080 --> 00:10:43,360 Speaker 1: are vaccinated, you are to continue with these public health 175 00:10:43,440 --> 00:10:48,400 Speaker 1: measures Play nine once the process is complete. Does that 176 00:10:48,440 --> 00:10:50,280 Speaker 1: mean they can take off their masks, they don't have 177 00:10:50,320 --> 00:10:52,960 Speaker 1: to social distance, they can just go about their lives 178 00:10:53,080 --> 00:10:55,679 Speaker 1: as before, you know, I would recommend that that's not 179 00:10:55,800 --> 00:10:58,800 Speaker 1: the case. I would recommend you have an added area 180 00:10:58,880 --> 00:11:03,480 Speaker 1: of protection. With a ninety plus percent effective vaccine, you 181 00:11:03,480 --> 00:11:06,880 Speaker 1: could feel much more confident. But I would recommend to 182 00:11:06,960 --> 00:11:11,040 Speaker 1: people to not abandon all public health measures just because 183 00:11:11,080 --> 00:11:15,479 Speaker 1: you've been vaccinated, because even though for the general population 184 00:11:15,800 --> 00:11:18,720 Speaker 1: it might be ninety to ninety five percent effective, you 185 00:11:18,760 --> 00:11:22,400 Speaker 1: don't necessarily know for you how effective it is. So 186 00:11:22,559 --> 00:11:26,280 Speaker 1: when I get vaccinated, which I hope too when it 187 00:11:26,360 --> 00:11:29,280 Speaker 1: becomes my turn to get vaccinated, I'm not going to 188 00:11:29,360 --> 00:11:33,400 Speaker 1: abandon completely public health measures. I could feel more relaxed 189 00:11:33,640 --> 00:11:37,000 Speaker 1: and essentially not having the stringency of it that we 190 00:11:37,080 --> 00:11:40,800 Speaker 1: have right now. But I think abandoning it completely would 191 00:11:40,840 --> 00:11:43,199 Speaker 1: not be a good idea because five to ten percent 192 00:11:43,240 --> 00:11:45,840 Speaker 1: of the people that get immunized it will not be 193 00:11:45,880 --> 00:11:48,679 Speaker 1: effective for so they might actually get the virus if 194 00:11:48,679 --> 00:11:53,199 Speaker 1: they just completely let down their guard. Okay, that's interesting. Yeah, 195 00:11:53,240 --> 00:11:56,319 Speaker 1: I think even even fake Tapper there's realizing. So now 196 00:11:56,320 --> 00:12:00,040 Speaker 1: we have no risk policy. You have a fiber A 197 00:12:00,240 --> 00:12:02,439 Speaker 1: vaccine that's ninety five percent. Remember it's not a hundred 198 00:12:02,480 --> 00:12:04,720 Speaker 1: percent you're even gonna get infected, and it's not one 199 00:12:04,800 --> 00:12:06,640 Speaker 1: hundred percent. If you get infected, you're even gonna end 200 00:12:06,720 --> 00:12:08,480 Speaker 1: up in the hospital or dying from It's not even close. 201 00:12:08,520 --> 00:12:11,800 Speaker 1: It's less than one percent. Think about the percentages we're 202 00:12:11,840 --> 00:12:14,160 Speaker 1: talking about here. And this is Fauccy. People listen to 203 00:12:14,160 --> 00:12:16,680 Speaker 1: this guy. He's just not very bright, folks. I don't 204 00:12:16,679 --> 00:12:18,680 Speaker 1: want to tell you he doesn't see all the other 205 00:12:18,679 --> 00:12:21,319 Speaker 1: things that are going on in society right now. You know, 206 00:12:21,360 --> 00:12:25,079 Speaker 1: we're abandoned public abandoned public health measures. What does that mean? 207 00:12:26,160 --> 00:12:29,960 Speaker 1: Here's the question, fouch. Can we start going to restaurants, 208 00:12:30,120 --> 00:12:34,439 Speaker 1: stop wearing masks in the gym, stop mask shaming strangers 209 00:12:34,440 --> 00:12:37,439 Speaker 1: for being outside in fresh air without a covering over 210 00:12:37,480 --> 00:12:39,560 Speaker 1: their mouth, in their nose all the time. Once a 211 00:12:39,600 --> 00:12:43,760 Speaker 1: person has the vaccine, the answer is yes, this is 212 00:12:43,800 --> 00:12:46,520 Speaker 1: a policy question. You know, there's a reason why we 213 00:12:46,559 --> 00:12:48,640 Speaker 1: don't have doctors running everything. I'm just gonna say it. 214 00:12:48,920 --> 00:12:52,080 Speaker 1: He's only focused in on this one thing, this one point. 215 00:12:52,559 --> 00:12:55,720 Speaker 1: He has no ability whatsoever to balance out the rest 216 00:12:55,720 --> 00:13:00,360 Speaker 1: of what's happening in society. And he's been wrong less 217 00:13:00,440 --> 00:13:04,040 Speaker 1: times already about the things that he's told us. If 218 00:13:04,160 --> 00:13:08,000 Speaker 1: I get this vaccine, should I wear a mask? Is 219 00:13:08,040 --> 00:13:12,720 Speaker 1: that reasonable? The answer is no, it's not reasonable. Stop 220 00:13:12,760 --> 00:13:16,440 Speaker 1: wearing a mask once you're vaccinated. Anybody who won't say 221 00:13:16,480 --> 00:13:19,679 Speaker 1: that is a lunatic. Okay, they're in love with their 222 00:13:19,679 --> 00:13:22,600 Speaker 1: own control, or they're so brainwashed with fear that they 223 00:13:22,640 --> 00:13:26,199 Speaker 1: can't be trusted to make any decisions. A ninety five 224 00:13:26,320 --> 00:13:30,480 Speaker 1: percent effective vaccine, did you realize what that's? The whole 225 00:13:30,520 --> 00:13:33,559 Speaker 1: point here is that if nine out of ten people 226 00:13:33,600 --> 00:13:37,400 Speaker 1: in a room can't get the virus, then the one 227 00:13:37,480 --> 00:13:39,760 Speaker 1: person that can get it, the chance of them getting 228 00:13:39,760 --> 00:13:41,840 Speaker 1: it is so much lower because that is hurt immunity. 229 00:13:42,160 --> 00:13:45,120 Speaker 1: That's how we get there. So the chance of the 230 00:13:45,520 --> 00:13:49,120 Speaker 1: velocity of spread is going to collapse as you get 231 00:13:49,160 --> 00:13:51,320 Speaker 1: more and more people vaccine it. Plus you get people 232 00:13:51,320 --> 00:13:54,960 Speaker 1: with the antibodies and the T cell response out there 233 00:13:54,960 --> 00:13:57,880 Speaker 1: who have already been infected, So the pandemic's gonna fall 234 00:13:57,920 --> 00:14:02,640 Speaker 1: off a cliff. We're still gonna wear masks. This lunatic 235 00:14:02,679 --> 00:14:04,360 Speaker 1: really thinks that I want to be walking into my 236 00:14:04,440 --> 00:14:06,199 Speaker 1: building that where I live in a New York City 237 00:14:06,520 --> 00:14:09,680 Speaker 1: next summer in the stifling heat with a mask on 238 00:14:09,800 --> 00:14:12,560 Speaker 1: because there's a one a million chance that I'm gonna 239 00:14:12,559 --> 00:14:15,600 Speaker 1: get COVID. What is it gonna take for people to 240 00:14:15,640 --> 00:14:18,679 Speaker 1: realize this is now a scam. This is outrageous. They've 241 00:14:18,720 --> 00:14:21,440 Speaker 1: moved the goalpost so many times, and now you've got 242 00:14:21,480 --> 00:14:27,600 Speaker 1: this moron Fauci acting like we're trying to gauge for perfection. 243 00:14:28,160 --> 00:14:30,720 Speaker 1: No chance. If you get in COVID, then COVID has 244 00:14:30,720 --> 00:14:33,640 Speaker 1: to be eradicated its entirety. We don't do this with 245 00:14:33,680 --> 00:14:37,120 Speaker 1: other diseases. We don't do this with the flu. You know, 246 00:14:37,160 --> 00:14:40,640 Speaker 1: we don't do this with a name. Anything that kills people, 247 00:14:40,680 --> 00:14:43,080 Speaker 1: that's out there right now, it still exists. It's still 248 00:14:43,080 --> 00:14:46,200 Speaker 1: out there. Oh, you can't leave your house, can't be 249 00:14:46,240 --> 00:14:48,600 Speaker 1: around strangers because you know they might catch it from you. 250 00:14:49,160 --> 00:14:51,680 Speaker 1: But this is what happens because the media is complicit 251 00:14:51,760 --> 00:14:53,520 Speaker 1: in all this, because they knew the only way that 252 00:14:53,560 --> 00:14:56,400 Speaker 1: Biden was gonna win was putting the country in this 253 00:14:56,560 --> 00:14:59,840 Speaker 1: desperate state of COVID panic and using it as a 254 00:15:00,120 --> 00:15:03,240 Speaker 1: just a cudgel to bludgeon Trump with all the time, 255 00:15:03,280 --> 00:15:06,200 Speaker 1: which is what they've done. So they created this panic 256 00:15:06,360 --> 00:15:08,920 Speaker 1: and now they don't want to unwind it. Now they 257 00:15:08,960 --> 00:15:12,600 Speaker 1: want to keep everybody nice and complacent. Bend that knee, peasant, 258 00:15:12,640 --> 00:15:17,040 Speaker 1: do what they tell you, even after a vaccine. Absolutely not, 259 00:15:17,880 --> 00:15:20,120 Speaker 1: And we're gonna have to establish something and people are 260 00:15:20,120 --> 00:15:22,400 Speaker 1: gonna have to just come up with. You know, if 261 00:15:22,400 --> 00:15:25,720 Speaker 1: you're vaccinated, you wear some kind of a yellow wristband 262 00:15:25,800 --> 00:15:27,680 Speaker 1: or something so you can walk around not wearing a 263 00:15:27,720 --> 00:15:30,320 Speaker 1: mask anymore. And I want him yeah you mad yea. 264 00:15:32,200 --> 00:15:35,560 Speaker 1: They didn't even do anything, folks. We're getting more cases 265 00:15:35,560 --> 00:15:38,520 Speaker 1: than ever before. Mask compliance is higher than it has 266 00:15:38,520 --> 00:15:41,440 Speaker 1: ever been in this country, more cases than ever before. 267 00:15:41,520 --> 00:15:43,680 Speaker 1: But they never try to even explain that. Dude. They oh, 268 00:15:44,760 --> 00:15:48,080 Speaker 1: listen to the science. Yeah, the science, the real scientist, 269 00:15:48,120 --> 00:15:51,640 Speaker 1: the ones that have to actually live with results from 270 00:15:51,640 --> 00:15:56,560 Speaker 1: big pharma. They've created vaccines that, once distributed, means we 271 00:15:56,640 --> 00:16:00,960 Speaker 1: get to go back to normal life, full style coughing 272 00:16:00,960 --> 00:16:03,520 Speaker 1: on each other on the subway and not worrying about it. 273 00:16:03,760 --> 00:16:06,080 Speaker 1: That's where we are heading with this vaccine. I don't 274 00:16:06,080 --> 00:16:12,320 Speaker 1: care what Fouci says. You're in the freedom life. This 275 00:16:12,480 --> 00:16:27,479 Speaker 1: is the Buck Sexton Show podcast. The average development timeline 276 00:16:27,520 --> 00:16:31,360 Speaker 1: for the vaccine, including clinical tests and manufacturing, can take 277 00:16:31,440 --> 00:16:35,360 Speaker 1: eight to twelve years. Through operation warp speed, we're doing 278 00:16:35,360 --> 00:16:38,440 Speaker 1: it in less than one year. If you had a 279 00:16:38,440 --> 00:16:41,800 Speaker 1: different administration with different people, what we've done would have 280 00:16:41,840 --> 00:16:44,680 Speaker 1: taken in my opinion three four or five years that 281 00:16:44,760 --> 00:16:48,120 Speaker 1: I would have been in the FDA forever. This is 282 00:16:48,200 --> 00:16:52,040 Speaker 1: five times faster than the fastest prior vaccine development in history. 283 00:16:52,520 --> 00:16:56,440 Speaker 1: Five times faster. Said again, five times faster. Nobody can 284 00:16:56,480 --> 00:17:00,120 Speaker 1: believe it. Actually, it's a record, and it's happening, and 285 00:17:00,160 --> 00:17:03,960 Speaker 1: it happened under Trump, because of Trump, because of a 286 00:17:04,040 --> 00:17:08,159 Speaker 1: government plan. And yet again the timing here, it almost 287 00:17:08,160 --> 00:17:12,840 Speaker 1: just feels like there's been history conspiring against the reelection 288 00:17:12,840 --> 00:17:16,200 Speaker 1: of this administration, because I really believe if you had 289 00:17:16,240 --> 00:17:20,560 Speaker 1: this vaccine information out there, if people knew where we 290 00:17:20,560 --> 00:17:24,480 Speaker 1: were with this before they were voting, would have changed 291 00:17:24,520 --> 00:17:29,680 Speaker 1: the minds. Because this is a Trump administration directive. I mean, 292 00:17:29,720 --> 00:17:34,120 Speaker 1: this comes from Trump's action. What we're seeing here, this 293 00:17:34,240 --> 00:17:36,840 Speaker 1: is not just something that happened to occur while he 294 00:17:36,880 --> 00:17:38,959 Speaker 1: was in the Oval office. Operation warp speed. He's been 295 00:17:38,960 --> 00:17:42,840 Speaker 1: talking about it for months, and what could be a 296 00:17:42,040 --> 00:17:46,960 Speaker 1: better outcome here? Ninety five percent multiple vaccines hitting the market. 297 00:17:46,960 --> 00:17:48,840 Speaker 1: We're going to get mass distribution of it the next 298 00:17:48,840 --> 00:17:52,320 Speaker 1: couple of months, next well, next couple of quarters. And 299 00:17:52,760 --> 00:17:55,120 Speaker 1: yet we're going to have a Biden administration that comes 300 00:17:55,119 --> 00:17:56,960 Speaker 1: into power and they're going to do everything they can 301 00:17:57,080 --> 00:18:00,159 Speaker 1: to try to act like, oh, it's their distribution of this. 302 00:18:00,480 --> 00:18:03,000 Speaker 1: It's like Trump did all the homework and Biden's going 303 00:18:03,040 --> 00:18:05,560 Speaker 1: to get to hand it in and act like he's 304 00:18:05,600 --> 00:18:07,680 Speaker 1: the genius. You know, he's the one that really pulled 305 00:18:07,680 --> 00:18:10,959 Speaker 1: this whole thing together. You can already tell the politics 306 00:18:10,960 --> 00:18:14,720 Speaker 1: around this are quote would be completely insane, because when 307 00:18:14,720 --> 00:18:16,560 Speaker 1: it really came down to it, this was the biggest 308 00:18:16,600 --> 00:18:19,800 Speaker 1: challenge of the Trump administration and on the single most 309 00:18:19,840 --> 00:18:23,520 Speaker 1: important issue where he really could have done something a 310 00:18:23,680 --> 00:18:27,200 Speaker 1: huge victory with these vaccines. They'll never give him credit 311 00:18:27,200 --> 00:18:30,120 Speaker 1: for it, though. Thanks for listening to the bus sets 312 00:18:30,200 --> 00:18:34,000 Speaker 1: and show podcasts. Remember to subscribe on Apple podcasts, the 313 00:18:34,080 --> 00:18:38,760 Speaker 1: iHeartRadio app, or wherever you get your podcasts. This process 314 00:18:38,800 --> 00:18:41,920 Speaker 1: has been driven solely by science and data. So it's 315 00:18:41,920 --> 00:18:44,800 Speaker 1: a shame that some one example being the governor of 316 00:18:44,840 --> 00:18:48,159 Speaker 1: New York, have actually injected politics into the process and 317 00:18:48,240 --> 00:18:52,240 Speaker 1: suggested the possibility of intentionally delaying access to an FDA 318 00:18:52,359 --> 00:18:58,280 Speaker 1: authorized vaccine, which is simply unconscionable. Yeah, it's truly sociopathic 319 00:18:58,280 --> 00:19:01,479 Speaker 1: and I'm not trying to be funny. I mean that 320 00:19:01,480 --> 00:19:04,679 Speaker 1: that Governor Cromo would even consider a one day delay 321 00:19:04,720 --> 00:19:08,240 Speaker 1: of this, just despite Trump shows you this guy's a psycho. 322 00:19:08,359 --> 00:19:13,680 Speaker 1: I mean, he's got problems, folks. He's dangerous, doesn't care. 323 00:19:14,880 --> 00:19:20,080 Speaker 1: He goes out there writing leadership books while he's shoveling 324 00:19:20,520 --> 00:19:23,800 Speaker 1: old people with COVID into nursing homes and they're dying 325 00:19:23,840 --> 00:19:27,040 Speaker 1: by the thousands. Because he's too stupid to figure out 326 00:19:27,040 --> 00:19:29,560 Speaker 1: what a catastrophe that is. Then he writes a leadership 327 00:19:29,600 --> 00:19:32,840 Speaker 1: book on what to do during COVID. A person who's 328 00:19:32,880 --> 00:19:36,879 Speaker 1: capable of that is pretty frightening. And that's the situation 329 00:19:36,920 --> 00:19:39,359 Speaker 1: we find ourselves in with Governor Cuomo of New York. 330 00:19:39,600 --> 00:19:41,560 Speaker 1: He has already said that they that he's going to 331 00:19:41,640 --> 00:19:43,960 Speaker 1: have his state health experts look at the vaccine and 332 00:19:44,000 --> 00:19:46,760 Speaker 1: the data before it's approved for people. I live in 333 00:19:46,760 --> 00:19:49,399 Speaker 1: New York, so this is personal to me. You know, 334 00:19:49,480 --> 00:19:52,480 Speaker 1: I have parents here who are in their sixties and seventies, 335 00:19:53,040 --> 00:19:55,480 Speaker 1: and I want them to be able to get this 336 00:19:55,600 --> 00:19:59,679 Speaker 1: vaccine as soon as it comes out. And there may 337 00:19:59,720 --> 00:20:03,600 Speaker 1: be a delay because Cuomo wants to play games. I 338 00:20:03,720 --> 00:20:05,360 Speaker 1: thought that he was the guy that was mister take 339 00:20:05,400 --> 00:20:08,840 Speaker 1: the virus seriously. He wants to wait to get a 340 00:20:08,960 --> 00:20:12,000 Speaker 1: life in life saving vaccine into the hands of people 341 00:20:12,000 --> 00:20:14,119 Speaker 1: who are at high risk in this in this state. 342 00:20:15,240 --> 00:20:19,480 Speaker 1: What because his board of hand picked bureaucrats for whatever 343 00:20:19,560 --> 00:20:21,000 Speaker 1: the New York State, I mean, I don't even know 344 00:20:21,040 --> 00:20:22,760 Speaker 1: what he would call the health authority that would look 345 00:20:22,800 --> 00:20:26,199 Speaker 1: over this is New York State. Bureaucrats are are going 346 00:20:26,240 --> 00:20:28,119 Speaker 1: to do a better job than the scientists at the 347 00:20:28,160 --> 00:20:31,600 Speaker 1: FDA and also at at FISER and Moderna in these 348 00:20:31,640 --> 00:20:35,200 Speaker 1: other places, these multi billion dollars pharmaceutical companies, this is 349 00:20:35,240 --> 00:20:37,960 Speaker 1: all they do. By the way, Big Farma demonized a lot, 350 00:20:38,760 --> 00:20:41,320 Speaker 1: and let's all take a moment here to recognize that 351 00:20:41,680 --> 00:20:44,679 Speaker 1: Big Pharma may have maybe giving us not only saving 352 00:20:44,680 --> 00:20:49,840 Speaker 1: a lot of lives, giving the world our lives back. So, 353 00:20:50,040 --> 00:20:52,600 Speaker 1: you know, a little golf clap for FISA and Moderna 354 00:20:52,640 --> 00:20:55,760 Speaker 1: and these other these other companies that, yes, with the 355 00:20:55,760 --> 00:20:59,880 Speaker 1: profit motive in mind as well, put world class, real 356 00:21:00,119 --> 00:21:03,440 Speaker 1: world class scientists, not world class bureaucrats who've been sitting 357 00:21:03,440 --> 00:21:06,320 Speaker 1: around for decades doing nothing with no results to show 358 00:21:06,320 --> 00:21:09,440 Speaker 1: for anything. Real scientists on this one. And now we're 359 00:21:09,520 --> 00:21:12,480 Speaker 1: in a place where we've got a ninety five percent 360 00:21:12,560 --> 00:21:15,680 Speaker 1: effective vaccine, and there are other vaccines. I mean, I 361 00:21:15,720 --> 00:21:17,560 Speaker 1: don't know how much more effective. I mean, theoretically, I 362 00:21:17,560 --> 00:21:19,280 Speaker 1: guess you'd get to ninety nine percent. Maybe I don't 363 00:21:19,320 --> 00:21:22,560 Speaker 1: think anything will be one hundred percent. But there's more 364 00:21:22,600 --> 00:21:26,240 Speaker 1: that are coming online. And yet there's still politics around this, 365 00:21:27,160 --> 00:21:31,639 Speaker 1: there's still the desire to make it seem like you 366 00:21:31,680 --> 00:21:35,120 Speaker 1: can't trust this because Trump, and that is just disgusting, 367 00:21:35,200 --> 00:21:39,360 Speaker 1: it's reckless. And Kamala and Joe Biden played this game too. 368 00:21:39,320 --> 00:21:41,840 Speaker 1: You remember during the campaign, Oh, I don't know, I 369 00:21:41,880 --> 00:21:45,199 Speaker 1: don't know if you know, if the scientists say, but 370 00:21:45,359 --> 00:21:47,280 Speaker 1: not if Trump says, Well, there was no there was 371 00:21:47,320 --> 00:21:50,560 Speaker 1: no future in which Trump was going to say take 372 00:21:50,600 --> 00:21:53,199 Speaker 1: this vaccine when it hadn't been approved by all the 373 00:21:53,200 --> 00:21:54,880 Speaker 1: scientists in the chain of m maybe four and that 374 00:21:54,880 --> 00:21:59,240 Speaker 1: that was a complete myth. That was preposterous and everybody 375 00:21:59,240 --> 00:22:02,200 Speaker 1: should have recognized it as such. But when there was 376 00:22:02,200 --> 00:22:05,440 Speaker 1: an opportunity for demagoguery and a frightened people, what did 377 00:22:05,480 --> 00:22:12,320 Speaker 1: Kamala and Joe do? Took the took the completely dishonorable 378 00:22:12,359 --> 00:22:15,639 Speaker 1: approach here by saying, oh, you can't trust this, you 379 00:22:15,680 --> 00:22:21,400 Speaker 1: can't trust this vaccine. Here's what Governor Cuomo is is 380 00:22:21,680 --> 00:22:23,920 Speaker 1: the worst governor in America. We have the worst mayor 381 00:22:23,960 --> 00:22:25,720 Speaker 1: in New York City, and I think the worst governor. Well, 382 00:22:26,560 --> 00:22:30,000 Speaker 1: some of you are probably gonna say no, I think 383 00:22:30,080 --> 00:22:32,040 Speaker 1: I think he's the worst governor America. I don't really 384 00:22:32,119 --> 00:22:35,640 Speaker 1: think he could do worst at him? Really, where would 385 00:22:35,640 --> 00:22:38,400 Speaker 1: you have to go for that one? California Gavin Newsom, 386 00:22:38,400 --> 00:22:41,000 Speaker 1: he's smarter than Cuomo, so at least say that for him. 387 00:22:41,840 --> 00:22:46,240 Speaker 1: But Cuomo's Cuomo's threatening to actually sue the Trump administration 388 00:22:46,280 --> 00:22:49,960 Speaker 1: of this vaccine played nineteen. I tell you today, if 389 00:22:50,000 --> 00:22:55,320 Speaker 1: the Trump administration does not change this plan and does 390 00:22:55,440 --> 00:23:00,880 Speaker 1: not provide an equitable vaccine process, we will enforce our 391 00:23:01,000 --> 00:23:05,480 Speaker 1: legal rights. We will bring legal action to protect New Yorkers. 392 00:23:06,240 --> 00:23:10,000 Speaker 1: I mean, this guy is a lunatic. The administration has 393 00:23:10,000 --> 00:23:16,840 Speaker 1: overseen the program that fast track this vaccine to world 394 00:23:16,880 --> 00:23:19,920 Speaker 1: record status. But now his claim is that they don't 395 00:23:19,920 --> 00:23:22,040 Speaker 1: know how to distribute the vaccine. They've been working with 396 00:23:22,040 --> 00:23:24,080 Speaker 1: the farmer companies on this for months and months and months. 397 00:23:24,920 --> 00:23:28,399 Speaker 1: What what evidence is there that Governor Cuomo knows something 398 00:23:28,440 --> 00:23:31,280 Speaker 1: about vaccine distribution that Trump doesn't. What you're hearing, though, 399 00:23:31,280 --> 00:23:35,399 Speaker 1: you'll notice this becomes this becomes the talking point is 400 00:23:35,400 --> 00:23:38,439 Speaker 1: that as Cuomo is suggesting that there's some kind of 401 00:23:38,440 --> 00:23:43,320 Speaker 1: social justice element to this, that there's a lack of access. Really, 402 00:23:43,400 --> 00:23:46,040 Speaker 1: are there neighborhoods where they don't have they have they 403 00:23:46,080 --> 00:23:49,159 Speaker 1: have no health clinics, no Walmarts, no Dwayne Reads, no 404 00:23:49,280 --> 00:23:54,119 Speaker 1: drug stores. And I mean, really that's a thing that 405 00:23:54,200 --> 00:23:56,439 Speaker 1: we're we're going to say, is now the problem with 406 00:23:56,480 --> 00:23:59,600 Speaker 1: the vaccine. Plus they're going to be all kinds of 407 00:23:59,640 --> 00:24:02,160 Speaker 1: government programs to get it directly into nursing homes. Plus 408 00:24:02,160 --> 00:24:04,199 Speaker 1: there's gonna be I mean, they're coming at this from 409 00:24:04,240 --> 00:24:07,359 Speaker 1: so many different angles, and Cuomo is threatening to sue 410 00:24:07,400 --> 00:24:09,280 Speaker 1: them because he doesn't think it's a good enough plan. 411 00:24:09,359 --> 00:24:14,600 Speaker 1: This guy's a maniac. It's really it's really frightening. You know, 412 00:24:14,640 --> 00:24:16,560 Speaker 1: it's really frightening that these are the people who were 413 00:24:16,560 --> 00:24:19,400 Speaker 1: in charge, and that there there are people dumb enough 414 00:24:19,440 --> 00:24:21,160 Speaker 1: to think that they're doing a good job. That's even 415 00:24:21,200 --> 00:24:24,920 Speaker 1: more terrifying. Remember the whole Cuomo Brothers Variety show on CNN. 416 00:24:25,000 --> 00:24:27,720 Speaker 1: Ha ha, you know, got like a big Q tip 417 00:24:27,800 --> 00:24:29,600 Speaker 1: and they did all this stuff. Haha. It was also 418 00:24:29,640 --> 00:24:33,080 Speaker 1: funny where people are dying in unprecedented numbers of COVID, 419 00:24:33,080 --> 00:24:35,199 Speaker 1: I mean, the highest death rate we've ever seen. But 420 00:24:35,280 --> 00:24:37,320 Speaker 1: they were doing a big haha thing late night on 421 00:24:37,359 --> 00:24:40,720 Speaker 1: TV that was really really worthwhile for everybody to watch. 422 00:24:42,760 --> 00:24:45,639 Speaker 1: So he's threatening to sue, and then he's and then 423 00:24:45,680 --> 00:24:48,199 Speaker 1: he's trying to explain why this is a problem, and 424 00:24:48,320 --> 00:24:51,040 Speaker 1: it's all it's all bullcrap. Doesn't make it sense. Play twenty. 425 00:24:52,680 --> 00:24:55,760 Speaker 1: The whole four years has been malpractice. This is a 426 00:24:55,800 --> 00:24:59,919 Speaker 1: person who never said he understood government or wanted to govern. 427 00:25:00,080 --> 00:25:03,720 Speaker 1: There is no governance. It was all public relations. My 428 00:25:03,880 --> 00:25:07,400 Speaker 1: fear is he's making every mistake he made when COVID 429 00:25:07,520 --> 00:25:11,760 Speaker 1: first started. This is just a redux. We're going to 430 00:25:11,800 --> 00:25:17,280 Speaker 1: do vaccines and because Fiser and Maderna have a vaccine, yeah, 431 00:25:17,359 --> 00:25:20,680 Speaker 1: that's like COVID testing. If you remember back then, we're 432 00:25:20,680 --> 00:25:24,240 Speaker 1: going to do COVID testing. I direct the states to 433 00:25:24,359 --> 00:25:27,320 Speaker 1: do COVID testing. And how are the states supposed to 434 00:25:27,320 --> 00:25:31,439 Speaker 1: do testing on vaccine Mika? They have no idea what 435 00:25:31,480 --> 00:25:34,240 Speaker 1: they're talking about. With vaccinations, we have to do three 436 00:25:34,320 --> 00:25:39,440 Speaker 1: hundred and thirty million. This nation, with doing everything we 437 00:25:39,480 --> 00:25:43,479 Speaker 1: did over the past eight months, only did one hundred 438 00:25:43,480 --> 00:25:48,199 Speaker 1: and twenty million. COVID tests. This guy's a moron, he 439 00:25:48,240 --> 00:25:50,760 Speaker 1: really is. We absolutely do not need to do three 440 00:25:50,880 --> 00:25:55,640 Speaker 1: hundred and thirty million vaccinations. He doesn't understand basic epidemiology. 441 00:25:56,400 --> 00:26:02,720 Speaker 1: If you get this vaccine out to let's say, twenty 442 00:26:02,720 --> 00:26:08,040 Speaker 1: to thirty million seniors sixty five and over, the death 443 00:26:08,160 --> 00:26:11,200 Speaker 1: rate from this is going to go to almost almost zero. 444 00:26:11,240 --> 00:26:13,879 Speaker 1: I mean, you're gonna be losing You will be losing 445 00:26:13,920 --> 00:26:17,359 Speaker 1: fewer people to COVID you than you're currently losing to 446 00:26:17,480 --> 00:26:19,720 Speaker 1: the flu and a regular month, if you get the 447 00:26:19,800 --> 00:26:22,480 Speaker 1: vaccine to all the seniors who are at risk, just bait. 448 00:26:22,520 --> 00:26:24,720 Speaker 1: And I'm just telling you if you look at the data, 449 00:26:25,000 --> 00:26:27,960 Speaker 1: if you look at the numbers who dies from COVID nineteen, 450 00:26:28,840 --> 00:26:32,440 Speaker 1: mostly people over seventy five, a good number of people 451 00:26:32,440 --> 00:26:36,840 Speaker 1: over sixty five, and almost no people under fifty. I mean, 452 00:26:37,040 --> 00:26:42,040 Speaker 1: you know, a tiny fraction. It's a a wholly manageable 453 00:26:42,600 --> 00:26:45,280 Speaker 1: public health risk to people under the age of fifty. 454 00:26:46,560 --> 00:26:49,040 Speaker 1: And yet he's saying we need to get three hundred 455 00:26:49,080 --> 00:26:51,359 Speaker 1: and thirty million doses of this out. First of all, 456 00:26:51,359 --> 00:26:54,720 Speaker 1: what's okay, what's his plan? You know? Notice this he says, 457 00:26:54,720 --> 00:26:56,720 Speaker 1: they don't know and they're gonna make mistakes, but he 458 00:26:56,800 --> 00:27:00,840 Speaker 1: never Okay, what's the better idea? Just complained, he's got 459 00:27:00,880 --> 00:27:03,679 Speaker 1: nothing to say. This guy is a dangerous buffoon. He 460 00:27:03,760 --> 00:27:06,800 Speaker 1: really is. And it's a shame that New York has 461 00:27:06,880 --> 00:27:11,000 Speaker 1: him as a governor. He's an unserious person, a nepotistic 462 00:27:11,119 --> 00:27:13,280 Speaker 1: thug that should never have had the job in the 463 00:27:13,320 --> 00:27:16,760 Speaker 1: first place. This guy's literally the governor because his daddy 464 00:27:16,840 --> 00:27:20,200 Speaker 1: was governor. It just goes to show you what situation 465 00:27:20,320 --> 00:27:25,720 Speaker 1: is with New York City Democrat machine politics. But it's 466 00:27:25,760 --> 00:27:28,000 Speaker 1: it's also very personal for him. I mean this is 467 00:27:28,040 --> 00:27:30,320 Speaker 1: for him. It's really just about his ongoing feud. Forget 468 00:27:30,359 --> 00:27:32,639 Speaker 1: about getting COVID to people that are scared and that 469 00:27:32,720 --> 00:27:35,280 Speaker 1: are that are at real risk from this. What's most 470 00:27:35,280 --> 00:27:38,080 Speaker 1: important to Cuomo is that his petty little schoolyard crap 471 00:27:38,119 --> 00:27:42,240 Speaker 1: with with Trump is addressed. Play twenty one. That's just 472 00:27:42,400 --> 00:27:46,880 Speaker 1: Trump talking. He's going to be gone. I think, frankly 473 00:27:47,040 --> 00:27:50,080 Speaker 1: spent too much time trying to delve into the bizarre 474 00:27:50,200 --> 00:27:54,560 Speaker 1: world of Trump's. He doesn't like that I criticize him. 475 00:27:54,920 --> 00:27:57,400 Speaker 1: He doesn't like that I stand up to him. He's 476 00:27:57,440 --> 00:28:01,080 Speaker 1: a typical bully and a boy. There's him. It's not 477 00:28:01,280 --> 00:28:04,199 Speaker 1: me who doubts the FDA is fifty percent of the 478 00:28:04,200 --> 00:28:10,200 Speaker 1: American people Kaiser, Pole, Pew, Pole, ABC poll, CNN poll. 479 00:28:10,680 --> 00:28:14,040 Speaker 1: They all say fifty percent of the American people don't 480 00:28:14,040 --> 00:28:16,760 Speaker 1: trust the vaccine. They believe he politicized the process. New 481 00:28:16,840 --> 00:28:20,439 Speaker 1: York and six other states have put together an independent 482 00:28:20,560 --> 00:28:24,919 Speaker 1: review panel to build that trust. So when the FDA 483 00:28:25,480 --> 00:28:28,359 Speaker 1: says here's our process, we have an independent panel with 484 00:28:28,440 --> 00:28:32,119 Speaker 1: a Nobel laureate that can say it was a fair process. 485 00:28:32,160 --> 00:28:34,239 Speaker 1: Because if people don't trust the vaccine, they're not going 486 00:28:34,280 --> 00:28:39,040 Speaker 1: to take the vaccine. It's all for nought. Okay. What 487 00:28:39,160 --> 00:28:44,760 Speaker 1: he just did there is is truly disgusting, beyond words. 488 00:28:46,000 --> 00:28:48,440 Speaker 1: Why do fifty percent of people not trust this vaccine? 489 00:28:49,320 --> 00:28:54,440 Speaker 1: Because Democrats like Cuomo and him specifically, have spent months 490 00:28:55,160 --> 00:28:58,880 Speaker 1: undermining the ability of the Trump administration to help produce 491 00:28:58,880 --> 00:29:02,440 Speaker 1: a vaccine and for the Trump administration's FDA to oversee 492 00:29:02,440 --> 00:29:06,520 Speaker 1: the safety protocols necessary for this. That's why half the country. 493 00:29:06,560 --> 00:29:08,680 Speaker 1: What do you think the correlation is between people being 494 00:29:08,720 --> 00:29:12,960 Speaker 1: Democrats and not trusting a vaccine? Very high. They have 495 00:29:13,160 --> 00:29:18,080 Speaker 1: brainwashed their followers, They have brainwashed Biden voters in the 496 00:29:18,120 --> 00:29:20,680 Speaker 1: thing that you can't trust the Trump FDA, And now 497 00:29:20,720 --> 00:29:24,200 Speaker 1: they turn around and say, because of that distrust, we 498 00:29:24,280 --> 00:29:28,320 Speaker 1: have to have delays and additional layers of safety and 499 00:29:28,360 --> 00:29:33,520 Speaker 1: protection for people. So people like Cuomo created that problem 500 00:29:33,520 --> 00:29:38,040 Speaker 1: with their reckless demagoguery that will result in people dying 501 00:29:38,080 --> 00:29:41,920 Speaker 1: who would not have died. They create that distrust and 502 00:29:42,000 --> 00:29:46,200 Speaker 1: then they turn around like they're just being above the fray. Mica, 503 00:29:46,720 --> 00:29:48,960 Speaker 1: you see the distrust out there about vaccines. We have 504 00:29:49,000 --> 00:29:51,000 Speaker 1: to dispel that distrust. Now, that's why we need to 505 00:29:51,000 --> 00:29:54,120 Speaker 1: have a panel. This is grotesque. I mean, this is 506 00:29:54,160 --> 00:29:58,200 Speaker 1: beyond just political stuff. Now, this country has been through 507 00:29:58,240 --> 00:30:00,520 Speaker 1: hell over this vaccine and they just to want to 508 00:30:00,520 --> 00:30:05,680 Speaker 1: give Trump a win. Brainless thugs like Cuomo just care 509 00:30:05,680 --> 00:30:08,480 Speaker 1: about how it looks for them and their side and 510 00:30:08,560 --> 00:30:12,360 Speaker 1: their team, and they hate Trump. That's what really matters 511 00:30:12,360 --> 00:30:17,400 Speaker 1: to them. Everything else is just for the cameras. Make 512 00:30:17,480 --> 00:30:21,080 Speaker 1: believe secondary. Yeah, eventually we'll get the vaccine out to 513 00:30:21,120 --> 00:30:23,120 Speaker 1: people if we delayed a few months because we want 514 00:30:23,120 --> 00:30:24,840 Speaker 1: to play games with Think about this, this guy is 515 00:30:24,840 --> 00:30:29,000 Speaker 1: really saying his public health experts. New York State government 516 00:30:29,080 --> 00:30:31,000 Speaker 1: is full of morons. I can tell you this I mean, 517 00:30:31,120 --> 00:30:32,680 Speaker 1: I can't speak to other states as well as like 518 00:30:32,720 --> 00:30:34,960 Speaker 1: ken New York, but I've lived here for decades. People 519 00:30:34,960 --> 00:30:36,800 Speaker 1: that work in state government in New York, a lot 520 00:30:36,800 --> 00:30:41,000 Speaker 1: of state reps, big bureaucrats, functionaries within the state government 521 00:30:41,040 --> 00:30:45,880 Speaker 1: system are completely incompetent fools. This is a poorly run state, 522 00:30:46,120 --> 00:30:50,320 Speaker 1: which is why it's also losing hundreds of thousands of 523 00:30:50,400 --> 00:30:53,440 Speaker 1: people now in this last year. But he thinks that 524 00:30:53,480 --> 00:30:57,479 Speaker 1: he's gonna have his his ax by experts, well, locut 525 00:30:57,520 --> 00:31:01,200 Speaker 1: the vaccine. My experts, well are men Whether the vaccinate 526 00:31:01,320 --> 00:31:05,920 Speaker 1: is acceptable? Really, I understand, I understand how the founders 527 00:31:06,000 --> 00:31:09,440 Speaker 1: must have felt about the British overlords not giving a 528 00:31:09,480 --> 00:31:11,880 Speaker 1: crap about them taking their stuff and just ruining their 529 00:31:11,880 --> 00:31:15,400 Speaker 1: lives and not given a care about it in any way. 530 00:31:16,000 --> 00:31:17,720 Speaker 1: That's what it feels like to be an American now 531 00:31:17,720 --> 00:31:20,080 Speaker 1: living in New York City, in New York State under 532 00:31:20,080 --> 00:31:23,600 Speaker 1: Democrat control. These people just don't care. There's nothing that 533 00:31:23,640 --> 00:31:26,240 Speaker 1: I can point to you and say, at least at 534 00:31:26,320 --> 00:31:28,680 Speaker 1: least on that they'll put the politics aside because it 535 00:31:28,720 --> 00:31:32,240 Speaker 1: really matters. Nope, not even saving lives of the vaccine. 536 00:31:32,440 --> 00:31:35,360 Speaker 1: Still got to be Democrats first. Still gotta be leftists 537 00:31:35,360 --> 00:31:41,520 Speaker 1: statists before all. Else you're in the freedom. This is 538 00:31:41,560 --> 00:31:47,960 Speaker 1: the Buck Sexton Show podcast. As soon as April, the 539 00:31:48,040 --> 00:31:51,680 Speaker 1: vaccine will be available to the entire general population, with 540 00:31:51,760 --> 00:31:55,040 Speaker 1: the exception of places like New York State, where, for 541 00:31:55,160 --> 00:32:00,240 Speaker 1: political reasons, the governor decided to say and I don't 542 00:32:00,240 --> 00:32:02,120 Speaker 1: think it's good politically. I think it's very bad from 543 00:32:02,160 --> 00:32:05,840 Speaker 1: a health standpoint. But he wants to take his time 544 00:32:05,840 --> 00:32:09,240 Speaker 1: on the vaccine. He doesn't trust where the vaccine's coming from. 545 00:32:09,280 --> 00:32:12,040 Speaker 1: These are coming from the greatest companies anywhere in the world, 546 00:32:12,160 --> 00:32:14,920 Speaker 1: greatest labs in the world, but he doesn't trust the 547 00:32:14,920 --> 00:32:17,920 Speaker 1: fact that it's this White House, this administration. So we 548 00:32:17,960 --> 00:32:20,360 Speaker 1: won't be delivering it to New York until we have 549 00:32:20,400 --> 00:32:23,560 Speaker 1: authorization to do so. And that pains me to say 550 00:32:23,600 --> 00:32:27,520 Speaker 1: that this is a very successful, amazing vaccine at ninety 551 00:32:27,560 --> 00:32:31,440 Speaker 1: percent and more. But so the governor, Governor Cuomo, will 552 00:32:31,480 --> 00:32:33,080 Speaker 1: have to let us know when he's ready for it. 553 00:32:33,120 --> 00:32:37,000 Speaker 1: Otherwise we can't. We can't be delivering it to a 554 00:32:37,040 --> 00:32:41,520 Speaker 1: state that won't be giving it to its people immediately. 555 00:32:42,240 --> 00:32:44,080 Speaker 1: And I know many I know the people of New 556 00:32:44,120 --> 00:32:46,120 Speaker 1: York very well. I know they want it so the 557 00:32:46,200 --> 00:32:48,920 Speaker 1: governor will let us know when he's ready. He's had 558 00:32:48,960 --> 00:32:54,120 Speaker 1: some very bad editorials recently about this statement and what's 559 00:32:54,120 --> 00:32:56,680 Speaker 1: happened with respect to nursing homes and his handling of 560 00:32:57,320 --> 00:32:59,400 Speaker 1: nursing homes, and I hope he doesn't handle this as 561 00:32:59,440 --> 00:33:02,160 Speaker 1: badly as he handled the nursing homes. Well, that's for sure. 562 00:33:03,400 --> 00:33:06,560 Speaker 1: President not mincing words, You're not pulling back the punches 563 00:33:06,600 --> 00:33:10,680 Speaker 1: that Cuomo so very much deserves be thrown in his 564 00:33:10,760 --> 00:33:14,840 Speaker 1: direction if the governor of New York holds back, or 565 00:33:14,880 --> 00:33:17,720 Speaker 1: any governor for that matter, anywhere across the country. So 566 00:33:17,920 --> 00:33:20,120 Speaker 1: for some of you, you know, it doesn't seem like 567 00:33:20,160 --> 00:33:23,880 Speaker 1: there's quite this interpersonal feud that's broken out with the president, 568 00:33:23,920 --> 00:33:27,560 Speaker 1: but you never know, you know, you never know, Governor Knewsome, 569 00:33:27,760 --> 00:33:30,920 Speaker 1: because Cuomo was talking to other governors about how they 570 00:33:30,960 --> 00:33:35,040 Speaker 1: wanted to try and stop the Trump rollout plan. They 571 00:33:35,040 --> 00:33:37,440 Speaker 1: wanted to do something else. I don't think any of 572 00:33:37,440 --> 00:33:40,040 Speaker 1: them are that stupid, though for their own reasons politically, 573 00:33:40,120 --> 00:33:43,600 Speaker 1: they would go along with this, because if Cuomo, if 574 00:33:43,640 --> 00:33:47,240 Speaker 1: his games, if his nonsense results in this vaccine being 575 00:33:47,280 --> 00:33:50,360 Speaker 1: delayed even one day in its distribution in New York City, 576 00:33:50,600 --> 00:33:52,720 Speaker 1: he should be he should be drummed out of office. 577 00:33:52,720 --> 00:33:55,600 Speaker 1: I mean, he should be forced to resign. And I 578 00:33:55,720 --> 00:33:58,800 Speaker 1: mean that, and it's incumbent upon the people of New 579 00:33:58,880 --> 00:34:03,600 Speaker 1: York and I mean Democrat too. It's disgusting, it's absolutely disgusting. 580 00:34:03,600 --> 00:34:06,040 Speaker 1: He's putting people, he's putting friends of mine, my loved ones, 581 00:34:06,120 --> 00:34:13,359 Speaker 1: my family members at risk by being such a just unbelievable, 582 00:34:15,239 --> 00:34:19,000 Speaker 1: pigheaded thug. I mean, this guy is the worst, the worst, 583 00:34:20,760 --> 00:34:25,919 Speaker 1: and people vote for him. I think it's a good idea. Ah, 584 00:34:25,960 --> 00:34:29,319 Speaker 1: it's it's amazing. There's nothing, there's no redeeming quality this 585 00:34:29,360 --> 00:34:33,000 Speaker 1: guy as whatsoever. None, not even smart. Never mind the 586 00:34:33,000 --> 00:34:38,160 Speaker 1: fact that he's a jerk. But that's what we are 587 00:34:38,239 --> 00:34:41,839 Speaker 1: up against now in this fight to get this vaccine distributed. 588 00:34:42,120 --> 00:34:44,879 Speaker 1: It doesn't matter who's going to be put at risk 589 00:34:45,480 --> 00:34:48,080 Speaker 1: by this, it doesn't matter to them. They don't care. 590 00:34:48,960 --> 00:34:52,920 Speaker 1: All they really care about is who gets credit for 591 00:34:53,000 --> 00:34:56,960 Speaker 1: what and how can this be used as a political tool. 592 00:34:57,239 --> 00:35:00,920 Speaker 1: That's what they really care about. And it's a shame 593 00:35:00,960 --> 00:35:03,640 Speaker 1: that people are going to suffer as a result of this. 594 00:35:03,760 --> 00:35:06,560 Speaker 1: It's a shame. But just remember this, because they're going 595 00:35:06,600 --> 00:35:08,319 Speaker 1: to try to take this away from Trump. You can 596 00:35:08,320 --> 00:35:11,920 Speaker 1: be assured of that what President Trump has accomplished here 597 00:35:11,920 --> 00:35:16,799 Speaker 1: with Operation Warp Speed is truly amazing. And what his 598 00:35:16,840 --> 00:35:20,759 Speaker 1: administration and the scientists at these big farmer companies and 599 00:35:20,920 --> 00:35:25,080 Speaker 1: the people working on Operation Warp Speed specifically to put 600 00:35:25,120 --> 00:35:28,400 Speaker 1: in place the financial incentives, the and the and the 601 00:35:28,440 --> 00:35:32,520 Speaker 1: federal government's backstop of this program to create the vaccine 602 00:35:32,640 --> 00:35:37,160 Speaker 1: as it's being tested and proven. This is this is remarkable. 603 00:35:37,600 --> 00:35:42,120 Speaker 1: I mean, this is like a Manhattan project for curing 604 00:35:42,680 --> 00:35:46,399 Speaker 1: a pandemic. And it looks like Trump has pulled this off. 605 00:35:47,200 --> 00:35:49,120 Speaker 1: It's a shame that people didn't figure this out in 606 00:35:49,160 --> 00:35:51,080 Speaker 1: time enough. People didn't figure this out in time to 607 00:35:51,840 --> 00:35:55,320 Speaker 1: have a different election results so far. Thanks for listening 608 00:35:55,320 --> 00:35:58,759 Speaker 1: to the Bust and Show podcast. Remember to subscribe on 609 00:35:58,800 --> 00:36:03,080 Speaker 1: Apple Podcasts, iHeart Radio, app or wherever you get your podcasts. 610 00:36:04,440 --> 00:36:09,200 Speaker 1: The battle over ballots continues. This election, as I keep 611 00:36:09,200 --> 00:36:13,520 Speaker 1: reminding everybody who listens, is not over. We will be 612 00:36:13,600 --> 00:36:18,680 Speaker 1: looking at lawsuits in the days ahead, at the response 613 00:36:18,760 --> 00:36:22,360 Speaker 1: from judges, and just see where this all goes. We 614 00:36:22,400 --> 00:36:26,520 Speaker 1: are playing out the process. So far, we have not 615 00:36:26,680 --> 00:36:32,600 Speaker 1: seen ironclad proof of some of the more extreme voter 616 00:36:32,760 --> 00:36:36,360 Speaker 1: fraud claims, but we also are early in the process. 617 00:36:36,880 --> 00:36:39,600 Speaker 1: We've certainly seen proof of irregularities, and there is some 618 00:36:39,760 --> 00:36:47,080 Speaker 1: evidence of widespread fraud sworn affidavits from people who say 619 00:36:47,200 --> 00:36:51,960 Speaker 1: this fraudulent thing happened affecting foulsands. Remember when we say widespread, 620 00:36:52,320 --> 00:36:54,440 Speaker 1: if it happened in two or three states, and we're 621 00:36:54,480 --> 00:36:57,399 Speaker 1: talking about thousands of votes, that's widespread enough to swing 622 00:36:57,440 --> 00:37:00,799 Speaker 1: the election, So that's widespread fraud. Still trying to see 623 00:37:00,800 --> 00:37:03,680 Speaker 1: if we can prove this, and the effort on the 624 00:37:03,760 --> 00:37:06,600 Speaker 1: left and the Democrat frenzy right now to get this 625 00:37:06,600 --> 00:37:09,759 Speaker 1: whole thing shut down as fast as possible before we 626 00:37:09,800 --> 00:37:12,520 Speaker 1: can even get to a result, is in and of 627 00:37:12,520 --> 00:37:16,400 Speaker 1: itself very telling. As I've been as I've been saying, 628 00:37:16,520 --> 00:37:22,520 Speaker 1: there's no downside to getting a real answer here. There's 629 00:37:22,560 --> 00:37:24,719 Speaker 1: no problem with this. They can tell you. Oh, but 630 00:37:24,760 --> 00:37:27,440 Speaker 1: it's slowing them. Biden transition and all this A Biden's 631 00:37:27,440 --> 00:37:29,920 Speaker 1: been in government longer than I've been alive, literally longer 632 00:37:29,960 --> 00:37:32,799 Speaker 1: than I've been alive, and we're so worried that he's 633 00:37:33,160 --> 00:37:35,760 Speaker 1: not going to know what to do day one or something. 634 00:37:35,800 --> 00:37:37,719 Speaker 1: Because there's been a few days here of lawsuits, and 635 00:37:37,760 --> 00:37:41,280 Speaker 1: the administration is not already saying all hail the incoming 636 00:37:41,280 --> 00:37:46,640 Speaker 1: Biden chief. Sorry, it's not the way it's going to be. Now. 637 00:37:46,719 --> 00:37:49,880 Speaker 1: Rudy Giuliani, who's the president's lawyer, who's very much involved 638 00:37:49,920 --> 00:37:53,040 Speaker 1: in making this case, I asked him to come on. 639 00:37:53,120 --> 00:37:55,640 Speaker 1: He's busy today, but we'll get him on hopefully another time. 640 00:37:56,160 --> 00:37:58,359 Speaker 1: So I try to go to the source directly with him. 641 00:37:58,360 --> 00:38:01,680 Speaker 1: We had to what I interview Jenna Ellis from the team, 642 00:38:01,800 --> 00:38:04,839 Speaker 1: the Trump legal team last week, so I'm up on 643 00:38:04,880 --> 00:38:09,320 Speaker 1: where they are. Rudy was on Fox making the case, 644 00:38:10,320 --> 00:38:14,680 Speaker 1: and here's here's what he said about where we are 645 00:38:14,760 --> 00:38:17,000 Speaker 1: right now. So I want you to hear it from 646 00:38:17,040 --> 00:38:19,400 Speaker 1: really the president's chief lawyer on this issue right now, 647 00:38:19,440 --> 00:38:22,239 Speaker 1: or at least his most visible lawyer and spokesperson on this, 648 00:38:23,000 --> 00:38:27,520 Speaker 1: Rudy Giuliani. Here he is about the software. I mean, 649 00:38:27,600 --> 00:38:30,279 Speaker 1: this is a big part of this and we have 650 00:38:30,320 --> 00:38:33,320 Speaker 1: to see what we're able to prove. Sydney Powell's also involved, 651 00:38:33,520 --> 00:38:37,719 Speaker 1: And I'll just say this, Sydney Powell was mocked by 652 00:38:37,920 --> 00:38:41,240 Speaker 1: the mainstream media and the Democrat Party for months and months, 653 00:38:41,480 --> 00:38:46,120 Speaker 1: not a serious lawyer, conspiracy theories She was spot on 654 00:38:46,160 --> 00:38:49,120 Speaker 1: when it came to the ambush of General Flynn and 655 00:38:49,200 --> 00:38:53,640 Speaker 1: the deep state betrayal that occurred there on behalf of 656 00:38:53,719 --> 00:38:57,080 Speaker 1: Hillary Clinton and the way that the justice system has 657 00:38:57,120 --> 00:39:01,120 Speaker 1: failed General Flynn. It's not that he failed our justice system, 658 00:39:01,239 --> 00:39:04,440 Speaker 1: it's the other way around. The justice system has failed him. 659 00:39:04,480 --> 00:39:07,399 Speaker 1: She was completely correct on that they mocked and ridiculed her, 660 00:39:07,440 --> 00:39:11,000 Speaker 1: and she through the actions that she took and what 661 00:39:11,160 --> 00:39:13,719 Speaker 1: was uncovered as a result of her lawsuit showed us 662 00:39:13,760 --> 00:39:17,520 Speaker 1: just how absurd those hateful claims directed at her work. 663 00:39:18,480 --> 00:39:22,640 Speaker 1: But here is Rudy Giuliani talking about software. Now, this 664 00:39:22,719 --> 00:39:26,080 Speaker 1: is the big This would be a game changer if 665 00:39:26,120 --> 00:39:32,000 Speaker 1: they can prove that there were intentional backdoors, you know, 666 00:39:32,160 --> 00:39:35,120 Speaker 1: all other means of trying to mess with these vote counts. 667 00:39:35,680 --> 00:39:38,520 Speaker 1: Here's Rudy making the case on Fox Play one. The 668 00:39:38,520 --> 00:39:42,319 Speaker 1: software that they use is done by a company called Smartmadock. 669 00:39:42,640 --> 00:39:46,440 Speaker 1: It's a company that was founded by Chavez and by 670 00:39:46,520 --> 00:39:50,319 Speaker 1: Chavez is two allies and still own own it. It's 671 00:39:50,320 --> 00:39:53,480 Speaker 1: been used to cheat in elections in South America. It 672 00:39:53,719 --> 00:39:57,520 Speaker 1: was it was banned by the United States Civil about 673 00:39:57,520 --> 00:40:01,120 Speaker 1: a decade ago. It's come back now as a subcontractor 674 00:40:01,360 --> 00:40:04,520 Speaker 1: to other companies or sort of hides in the weeds, 675 00:40:04,600 --> 00:40:09,160 Speaker 1: But Dominion sends everything to smart Matock. Can you believe it? 676 00:40:09,200 --> 00:40:12,879 Speaker 1: Our votes are sent overseas, they are sent to someplace else, 677 00:40:12,880 --> 00:40:15,839 Speaker 1: some other country. Why do they leave our country? And 678 00:40:15,920 --> 00:40:19,480 Speaker 1: this company and this company has tried and true methods 679 00:40:19,520 --> 00:40:22,440 Speaker 1: for fixing elections by calling a halt to the voting 680 00:40:22,719 --> 00:40:25,440 Speaker 1: when you're running too far behind. They've done that in 681 00:40:25,480 --> 00:40:28,560 Speaker 1: prior elections. Now what happened on election night? He was 682 00:40:28,600 --> 00:40:32,040 Speaker 1: ahead by eight hundred thousand votes in Pennsylvania, Impossible to 683 00:40:32,080 --> 00:40:37,359 Speaker 1: catch up unless you're chanting. And the same thing in Michigan, wisconsint. 684 00:40:37,400 --> 00:40:40,680 Speaker 1: He was ahead in all those states by numbers that 685 00:40:40,920 --> 00:40:42,960 Speaker 1: in prior times, and I can show this to your 686 00:40:43,080 --> 00:40:47,920 Speaker 1: networks would have called for him. Yes, he's making some 687 00:40:48,040 --> 00:40:53,359 Speaker 1: pretty severe allegations here. I just keep saying the same 688 00:40:53,480 --> 00:40:59,000 Speaker 1: thing about this stuff. Let's find out, let's see, let's 689 00:40:59,239 --> 00:41:03,040 Speaker 1: let's understand what evidence can be presented, Let's look at 690 00:41:03,080 --> 00:41:06,320 Speaker 1: what's really out there and come to a conclusion based 691 00:41:06,360 --> 00:41:10,440 Speaker 1: upon what we can prove. He's saying straight up this 692 00:41:10,560 --> 00:41:12,360 Speaker 1: was fixed, and the stuff that he's telling you about 693 00:41:12,400 --> 00:41:17,799 Speaker 1: the information going overseas and this company. That's all you know, 694 00:41:17,840 --> 00:41:19,960 Speaker 1: as smart mannic, as shady as Rudy says it is. 695 00:41:19,960 --> 00:41:23,040 Speaker 1: We should know, we should get answers to all this. 696 00:41:23,960 --> 00:41:28,440 Speaker 1: We should have complete faith that our elections are secure 697 00:41:28,880 --> 00:41:30,760 Speaker 1: and that are they are happening the way that they should. 698 00:41:30,960 --> 00:41:33,080 Speaker 1: And the only way to know that, despite what the 699 00:41:33,120 --> 00:41:37,960 Speaker 1: liberal media tells you, despite what the mainstream keeps pushing, 700 00:41:38,000 --> 00:41:42,000 Speaker 1: the only way to know that is if we check, 701 00:41:43,160 --> 00:41:46,479 Speaker 1: if we compile what we have in terms of data, 702 00:41:46,480 --> 00:41:49,120 Speaker 1: if if we look at these at these allegations, take 703 00:41:49,160 --> 00:41:56,160 Speaker 1: them seriously and get answers about them. Right. So that 704 00:41:56,239 --> 00:41:58,959 Speaker 1: was one the smart manic and the software, that's one 705 00:42:00,360 --> 00:42:03,640 Speaker 1: part of these allegations where he made on TV. Now 706 00:42:03,680 --> 00:42:08,400 Speaker 1: here he is with the pole watchers not being allowed 707 00:42:08,400 --> 00:42:12,680 Speaker 1: to count the mail in ballots another major component of 708 00:42:12,719 --> 00:42:16,520 Speaker 1: their lawsuits played too. I mean, there is unprecedented. They 709 00:42:16,560 --> 00:42:20,120 Speaker 1: are counting mail in ballots and they don't allow any 710 00:42:20,160 --> 00:42:24,520 Speaker 1: Republican to inspect. That is illegal, unlawful, against the law. 711 00:42:24,560 --> 00:42:26,600 Speaker 1: I don't know how else to put it. Never happened. 712 00:42:26,600 --> 00:42:30,240 Speaker 1: I've done a many absentee ballot elections as a Republican. 713 00:42:30,280 --> 00:42:32,359 Speaker 1: On one side, a Democrat on the other, No, no, no, 714 00:42:32,560 --> 00:42:36,239 Speaker 1: the Republican was outside getting pushed around by goons. When 715 00:42:36,239 --> 00:42:38,879 Speaker 1: they finally get in, they're twenty feet away and they're 716 00:42:38,880 --> 00:42:43,160 Speaker 1: told to use binoculars. Binoculars. The only way you can 717 00:42:43,360 --> 00:42:46,520 Speaker 1: tell whether a mail in ballot is valid is by 718 00:42:46,560 --> 00:42:49,799 Speaker 1: examining the outer envelope. The minute you remove the outer 719 00:42:49,920 --> 00:42:53,240 Speaker 1: envelope is gone. You can no longer validate it. And 720 00:42:53,280 --> 00:42:56,000 Speaker 1: that's why, under the law of every state, if you 721 00:42:56,040 --> 00:42:59,720 Speaker 1: don't expect it, the vote is invalid. There are cases 722 00:43:00,040 --> 00:43:02,839 Speaker 1: putting in Pennsylvania that have been overturned for just a 723 00:43:02,920 --> 00:43:06,200 Speaker 1: few ballots that were handled that way. We can prove 724 00:43:06,239 --> 00:43:08,799 Speaker 1: that six hundred and thirty two thousand ballots will handle 725 00:43:08,880 --> 00:43:12,080 Speaker 1: that way, particularly in Philadelphia. And if you tell me 726 00:43:12,120 --> 00:43:14,840 Speaker 1: that Philadelphia doesn't see in elections, I will tell you 727 00:43:14,840 --> 00:43:18,480 Speaker 1: you live in our mars. So that would be a 728 00:43:18,480 --> 00:43:21,440 Speaker 1: lot of ballots that would be invalidated, right, And we 729 00:43:21,480 --> 00:43:24,480 Speaker 1: know the mail in ballots are expected overwhelmingly to have 730 00:43:24,480 --> 00:43:28,160 Speaker 1: been for Biden. So there's your margin and then some 731 00:43:28,400 --> 00:43:32,640 Speaker 1: several times over your margin of victory for Biden disappearing 732 00:43:32,640 --> 00:43:35,799 Speaker 1: and going for Trump. So people who claim that, oh, 733 00:43:35,880 --> 00:43:38,880 Speaker 1: this is these challenges wouldn't even mean anything, They wouldn't 734 00:43:38,920 --> 00:43:42,160 Speaker 1: even do anything. That's just not true. If you discarded 735 00:43:42,200 --> 00:43:44,880 Speaker 1: six hundred thousand ballots because they were not properly observed 736 00:43:44,880 --> 00:43:47,239 Speaker 1: in their mail and ballots, if you did that, that 737 00:43:47,320 --> 00:43:50,839 Speaker 1: obviously would change Pennsylvania. And if you look at what's 738 00:43:50,880 --> 00:43:55,759 Speaker 1: going on in other states, there are substantial questions and 739 00:43:55,920 --> 00:43:59,760 Speaker 1: large numbers of ballots that are at issue there as well. 740 00:44:00,760 --> 00:44:04,120 Speaker 1: Rudy pointed out in Michigan and Detroit, really it's not 741 00:44:04,120 --> 00:44:06,839 Speaker 1: the state of Michigan, it's the city of Detroit, right, 742 00:44:06,920 --> 00:44:11,440 Speaker 1: these Democrat urban machines that are able to churn out 743 00:44:11,520 --> 00:44:15,160 Speaker 1: votes just in time and just in the way that 744 00:44:15,320 --> 00:44:19,920 Speaker 1: was exactly as needed for Biden to win. That there 745 00:44:19,920 --> 00:44:23,600 Speaker 1: were problems in Detroit specifically, and here is Rudy outlining 746 00:44:23,600 --> 00:44:27,040 Speaker 1: those play three. Now we move on to Detroit. In Detroit, 747 00:44:27,840 --> 00:44:30,279 Speaker 1: we have evidence that a hundred thousand ballots were brought 748 00:44:30,320 --> 00:44:32,920 Speaker 1: in at four thirty in the morning and counted it. 749 00:44:33,239 --> 00:44:35,279 Speaker 1: And so the extent that our witnesses, and there are 750 00:44:35,280 --> 00:44:37,239 Speaker 1: four of them, saw it, and one of them is 751 00:44:37,280 --> 00:44:41,840 Speaker 1: an ex employee of Dominion. According to them, every single 752 00:44:41,880 --> 00:44:45,080 Speaker 1: ballot was for Biden. And not only that, whatever ballots 753 00:44:45,080 --> 00:44:47,319 Speaker 1: they could see because Steve weren't Republicans, so they could 754 00:44:47,320 --> 00:44:49,920 Speaker 1: get closer. Every ballot they could see, it just had 755 00:44:49,960 --> 00:44:53,000 Speaker 1: Biden's name on it. Nobody else, not even another Democrat. 756 00:44:53,200 --> 00:44:55,880 Speaker 1: Now why does that happen. It happens because you know 757 00:44:55,960 --> 00:45:00,000 Speaker 1: you're behind. Dominion notifies you, you call off the county. 758 00:45:00,000 --> 00:45:03,759 Speaker 1: Then you start doing ballots like you can't. You can't 759 00:45:03,760 --> 00:45:06,880 Speaker 1: do the down ticket. That's why you have Biden and 760 00:45:07,080 --> 00:45:09,680 Speaker 1: no down ticket, because they just had enough time to 761 00:45:09,719 --> 00:45:12,640 Speaker 1: get Biden's name it. We never got a chance to 762 00:45:12,680 --> 00:45:16,000 Speaker 1: inspect a single one of those. That's another Look, it's 763 00:45:16,040 --> 00:45:22,400 Speaker 1: a big allegation. This is election rigging. This is a 764 00:45:22,520 --> 00:45:25,960 Speaker 1: real threat to our democratic system, an actual threat if 765 00:45:25,960 --> 00:45:30,279 Speaker 1: this is happening. And you know Rudy, remember he was 766 00:45:30,440 --> 00:45:32,520 Speaker 1: he was one saying that they had a lot of 767 00:45:32,560 --> 00:45:34,759 Speaker 1: documents about Hunter Biden, that there was going to be 768 00:45:34,760 --> 00:45:37,799 Speaker 1: more information coming out about Hunter Biden. Now I told you, 769 00:45:37,840 --> 00:45:39,520 Speaker 1: because I'm always honest with you, that I didn't think 770 00:45:39,520 --> 00:45:41,400 Speaker 1: it was going to matter for the election. And it didn't. 771 00:45:41,520 --> 00:45:44,160 Speaker 1: I think that's pretty clear. But it was still worthwhile 772 00:45:44,920 --> 00:45:46,960 Speaker 1: from a new cycle perspective, and it's good that we 773 00:45:47,040 --> 00:45:50,840 Speaker 1: know it, especially if there is a Biden presidency going forward. 774 00:45:50,880 --> 00:45:53,040 Speaker 1: I think people should be aware of how corrupt and 775 00:45:53,080 --> 00:45:57,319 Speaker 1: how outrageous the Biden crime family really is. But that 776 00:45:57,440 --> 00:46:03,560 Speaker 1: all said, Rudy was correct in talking about Hunter Biden 777 00:46:03,719 --> 00:46:06,120 Speaker 1: and the way that he was getting payoffs from foreign countries, 778 00:46:06,280 --> 00:46:09,080 Speaker 1: and he was ridiculed for all that. So do we 779 00:46:09,160 --> 00:46:11,359 Speaker 1: really think that he's completely making all this up right 780 00:46:11,400 --> 00:46:14,440 Speaker 1: now and has nothing to back him up he'd do that? 781 00:46:14,600 --> 00:46:18,240 Speaker 1: Why what benefit would there be to him of exposing 782 00:46:18,320 --> 00:46:21,840 Speaker 1: himself in that way? If he really also didn't believe 783 00:46:21,960 --> 00:46:26,000 Speaker 1: that this effort to change these votes would be successful 784 00:46:26,800 --> 00:46:29,360 Speaker 1: in and of itself, why do you want to be 785 00:46:29,440 --> 00:46:32,880 Speaker 1: the guy who's the bagdad Bob of a losing Trump election. 786 00:46:33,400 --> 00:46:37,200 Speaker 1: That does not sound like fun, That does not sound 787 00:46:37,200 --> 00:46:39,840 Speaker 1: like something that would be an intelligent strategic move for 788 00:46:39,960 --> 00:46:42,400 Speaker 1: just Rudy on a personal level. So for him to 789 00:46:42,400 --> 00:46:45,640 Speaker 1: come out in this way and be firing off these 790 00:46:45,719 --> 00:46:48,440 Speaker 1: kinds of allegations and charges, I think you have to 791 00:46:48,480 --> 00:46:51,200 Speaker 1: take him at his word that he has real reason 792 00:46:51,239 --> 00:46:53,279 Speaker 1: to believe this. And now when ice to take him 793 00:46:53,280 --> 00:46:55,520 Speaker 1: at his word, that just means let's see what he's got. 794 00:46:56,600 --> 00:47:00,440 Speaker 1: They're filing these lawsuits in court, they're presenting it before judges. 795 00:47:01,120 --> 00:47:04,040 Speaker 1: Let's see what the information that they provide really is 796 00:47:04,080 --> 00:47:06,520 Speaker 1: and what the judges response to it. That's all within 797 00:47:06,560 --> 00:47:10,480 Speaker 1: the process, within the system. This is completely legitimate. The 798 00:47:10,640 --> 00:47:12,640 Speaker 1: Left wants to pretend that we've already gone to this 799 00:47:12,719 --> 00:47:17,440 Speaker 1: phase of ignoring what judges have said, going outside the system, 800 00:47:17,480 --> 00:47:20,239 Speaker 1: and that's just not true. That's not what is happening here. 801 00:47:20,840 --> 00:47:24,320 Speaker 1: But when you hear all the places where there were problems, 802 00:47:24,560 --> 00:47:26,840 Speaker 1: when you hear all the places where there were issues, 803 00:47:26,920 --> 00:47:33,760 Speaker 1: I mean, here is Rudy talking about all the different 804 00:47:33,800 --> 00:47:35,680 Speaker 1: states where this software was used that could have been 805 00:47:35,719 --> 00:47:39,600 Speaker 1: an issue play for well, I know I can prove 806 00:47:40,080 --> 00:47:42,080 Speaker 1: that they did it in Michigan. I can prove it, 807 00:47:42,080 --> 00:47:45,880 Speaker 1: we witnesses. We're investigating the rest in every one of 808 00:47:45,880 --> 00:47:49,400 Speaker 1: those states, though we have more than enough illegal ballots 809 00:47:49,520 --> 00:47:53,960 Speaker 1: already documented to overturn the result in that state, because 810 00:47:54,520 --> 00:47:58,000 Speaker 1: not only did they use a Venezuelan company to count 811 00:47:58,040 --> 00:48:03,360 Speaker 1: our ballots, which almost should be illegal per Se number two, 812 00:48:04,080 --> 00:48:08,480 Speaker 1: they didn't allow Republicans in key places to observe the 813 00:48:08,880 --> 00:48:12,319 Speaker 1: mail vote. That makes the male vote completely invalid. Now, 814 00:48:12,360 --> 00:48:14,640 Speaker 1: they didn't do it everywhere. They did it in big 815 00:48:14,680 --> 00:48:17,560 Speaker 1: cities where they have corrupt machines that will protect them, 816 00:48:17,719 --> 00:48:24,000 Speaker 1: meaning in Pennsylvania, Philadelphia and Pittsburgh, in Detroit, they didn't 817 00:48:24,000 --> 00:48:26,200 Speaker 1: have to do it. In Chicago, in New York or Boston, 818 00:48:26,239 --> 00:48:29,560 Speaker 1: they could have. They have corrupt machines there. They did 819 00:48:29,600 --> 00:48:34,440 Speaker 1: it absolutely. In Phoenix, Arizona, they did it absolutely. In Milwaukee, Wisconsin, 820 00:48:35,280 --> 00:48:39,439 Speaker 1: Republicans were shut out from enough of the count so 821 00:48:39,480 --> 00:48:42,719 Speaker 1: they could accomplish what Smartmadock wanted to do. As I've 822 00:48:42,760 --> 00:48:47,440 Speaker 1: been saying, this is a lot of a lot of 823 00:48:47,800 --> 00:48:51,400 Speaker 1: big talk, a lot of large allegations here. This is 824 00:48:51,760 --> 00:48:56,800 Speaker 1: major stuff. And we'll see what he's able to prove. 825 00:48:57,000 --> 00:48:59,239 Speaker 1: We'll see what the Trump team, the legal team is 826 00:48:59,239 --> 00:49:02,920 Speaker 1: able to bring forward. I will tell you though, even 827 00:49:03,000 --> 00:49:06,960 Speaker 1: with sworn Affidavid's, even with people coming forward, he said, 828 00:49:07,000 --> 00:49:12,239 Speaker 1: I witnessed the following. My concern isn't that they're not credible, 829 00:49:12,800 --> 00:49:15,160 Speaker 1: or that they don't exist, or that Juliana's making this 830 00:49:15,160 --> 00:49:18,160 Speaker 1: stuff up. I don't think that's the issue. I think 831 00:49:18,200 --> 00:49:21,839 Speaker 1: the issue is that federal judges who look at this 832 00:49:22,280 --> 00:49:25,520 Speaker 1: are going to say, I'm not overturning their rest. I'm 833 00:49:25,560 --> 00:49:28,200 Speaker 1: not overturning this state selection results. Sorry, not going to 834 00:49:28,280 --> 00:49:32,479 Speaker 1: do it. Yeah. So I think that really the fall 835 00:49:32,520 --> 00:49:35,120 Speaker 1: down here is going to be the system just saying 836 00:49:36,239 --> 00:49:38,640 Speaker 1: we don't want to see the country burn We're not 837 00:49:38,760 --> 00:49:44,200 Speaker 1: willing to be the ones who stopped this from happening. Sorry, 838 00:49:44,800 --> 00:49:47,520 Speaker 1: And of course that's perverse because they're supposed to be 839 00:49:47,760 --> 00:49:50,839 Speaker 1: defending our system of democracy. But their idea will be, 840 00:49:51,280 --> 00:49:54,960 Speaker 1: let's allow for this assault on democracy so we don't 841 00:49:54,960 --> 00:49:57,840 Speaker 1: have to have an assault on small businesses and neighborhoods 842 00:49:57,840 --> 00:49:59,440 Speaker 1: all across the country that are gonna get burned down 843 00:49:59,480 --> 00:50:03,560 Speaker 1: by angry ID voters. I am concerned about that, meaning 844 00:50:03,560 --> 00:50:06,760 Speaker 1: that the judges will view it that way and aren't 845 00:50:06,760 --> 00:50:08,680 Speaker 1: willing to turn around. And then it's you think the 846 00:50:08,680 --> 00:50:11,080 Speaker 1: Supreme Court's really going to get involved. I'm getta get 847 00:50:11,080 --> 00:50:14,480 Speaker 1: involved in time in all these different states, I don't think. So. 848 00:50:15,719 --> 00:50:17,359 Speaker 1: I don't think that you could you could even count 849 00:50:17,360 --> 00:50:19,759 Speaker 1: on the Supremes to jump in on this one. So 850 00:50:20,600 --> 00:50:23,200 Speaker 1: that's why I keep saying, let's see what is produced, 851 00:50:23,840 --> 00:50:27,279 Speaker 1: let's see what the judges say, and then we can 852 00:50:27,320 --> 00:50:31,560 Speaker 1: have a conversation about what comes next for America. But 853 00:50:31,600 --> 00:50:35,920 Speaker 1: in the meantime, we simply do not know. We should 854 00:50:35,920 --> 00:50:38,880 Speaker 1: fight this to the end, and when we get to 855 00:50:38,920 --> 00:50:41,600 Speaker 1: the end, we can come to conclusions about what's next. 856 00:50:41,640 --> 00:50:44,239 Speaker 1: But this is not over. That's where we are and 857 00:50:44,280 --> 00:50:47,640 Speaker 1: that's where we're going to stay until the facts change. 858 00:50:48,800 --> 00:50:52,799 Speaker 1: You're in. This is the Buck Sex and Show Podcast. 859 00:50:56,840 --> 00:50:59,720 Speaker 1: Never let a crisis go to waste. Remember that quote, 860 00:51:00,200 --> 00:51:03,680 Speaker 1: Ram Emmanuel Obama's first chief of staff in the White House. 861 00:51:03,840 --> 00:51:07,160 Speaker 1: Remember that. Now that's an old saying. It stretches back. Really, 862 00:51:07,160 --> 00:51:09,400 Speaker 1: I think thousands of years you could find that stuff 863 00:51:09,400 --> 00:51:12,600 Speaker 1: and Sun Sue an ancient Chinese philosophy. You know, a 864 00:51:12,600 --> 00:51:18,680 Speaker 1: crisis and an opportunity or are always intertwined. But some 865 00:51:18,800 --> 00:51:23,120 Speaker 1: other places, notably are our Canadian brothers and sisters up North, Ah. 866 00:51:24,560 --> 00:51:28,120 Speaker 1: They're already hearing from their prime minister. It's embarrassing this 867 00:51:28,160 --> 00:51:32,239 Speaker 1: guy as their prime minister, but he is justin Trudeau 868 00:51:32,800 --> 00:51:35,840 Speaker 1: that the pandemic is about a lot more than the pandemic. 869 00:51:36,040 --> 00:51:39,600 Speaker 1: As some of us have been saying along, the pandemic 870 00:51:39,680 --> 00:51:43,080 Speaker 1: has meeting far beyond just trying to deal with a 871 00:51:43,200 --> 00:51:47,080 Speaker 1: communicable disease and mitigate the impact on health and the economy. 872 00:51:47,640 --> 00:51:53,000 Speaker 1: It's an opportunity, you see, for a great reset. Play 873 00:51:53,040 --> 00:51:57,640 Speaker 1: clip ten. Building back better means getting support to the 874 00:51:57,680 --> 00:52:01,000 Speaker 1: most vulnerable while maintaining our momentum on reaching the twenty 875 00:52:01,040 --> 00:52:06,000 Speaker 1: thirty Agenda for Sustainable Development and the SDGs. Canada is 876 00:52:06,080 --> 00:52:09,800 Speaker 1: here to listen and to help. This pandemic has provided 877 00:52:09,800 --> 00:52:13,319 Speaker 1: an opportunity for a reset. This is our chance to 878 00:52:13,360 --> 00:52:17,799 Speaker 1: accelerate our pre pandemic efforts to reimagine economic systems that 879 00:52:17,880 --> 00:52:23,440 Speaker 1: actually address global challenges like extreme poverty, inequality, and climate change. 880 00:52:23,760 --> 00:52:28,640 Speaker 1: A reset, he tells you, a great reset. Let's let's 881 00:52:28,719 --> 00:52:31,960 Speaker 1: use COVID as a moment to address poverty and climate change. 882 00:52:32,280 --> 00:52:35,120 Speaker 1: What what does COVID have to do with that? Will 883 00:52:35,120 --> 00:52:39,800 Speaker 1: you see? If you took a leftist, statist mindset, he 884 00:52:39,920 --> 00:52:41,799 Speaker 1: wouldn't need to ask that question at all. No one 885 00:52:41,840 --> 00:52:43,960 Speaker 1: we need to ask that question because it's all about 886 00:52:44,040 --> 00:52:47,600 Speaker 1: fear and control. And if that's what you're looking for, 887 00:52:48,239 --> 00:52:51,759 Speaker 1: COVID is a remarkable opportunity. You mean, COVID. If you're 888 00:52:52,239 --> 00:52:56,240 Speaker 1: looking to leverage fear in order to control people, COVID 889 00:52:56,400 --> 00:52:59,640 Speaker 1: is your best opportunity. Certainly since the Great Recession and 890 00:53:00,120 --> 00:53:02,719 Speaker 1: really much more powerful than that, right. I mean they 891 00:53:02,719 --> 00:53:04,799 Speaker 1: remember they told us the entire financial system was going 892 00:53:04,840 --> 00:53:07,799 Speaker 1: to melt down unless Goldman Sachs got bailed out one 893 00:53:07,840 --> 00:53:11,440 Speaker 1: hundred cents on the dollar for its counterparty risk with AIG. 894 00:53:11,640 --> 00:53:12,920 Speaker 1: I mean, there was a lot of stuff that went 895 00:53:12,920 --> 00:53:15,440 Speaker 1: on though that was just stunk to high heaven. But 896 00:53:15,600 --> 00:53:17,359 Speaker 1: it was a hey, let us do this, or else 897 00:53:17,400 --> 00:53:20,439 Speaker 1: the whole system melts down. Sorry, And then the bank 898 00:53:20,520 --> 00:53:23,120 Speaker 1: started paying people huge salaries again the next year, and 899 00:53:23,160 --> 00:53:25,839 Speaker 1: as we know, never really paid the price for it. 900 00:53:26,040 --> 00:53:28,440 Speaker 1: And it was just the losses of Wall Street were 901 00:53:28,440 --> 00:53:30,920 Speaker 1: socialized in the general population in two thousand and eight, 902 00:53:30,920 --> 00:53:33,680 Speaker 1: which is not the way it's supposed to be. But 903 00:53:33,800 --> 00:53:36,800 Speaker 1: this is a much better opportunity for social social control 904 00:53:36,880 --> 00:53:42,200 Speaker 1: even than that. And that's what that's what is being 905 00:53:42,239 --> 00:53:45,080 Speaker 1: said here by Justin Trudeau. He's letting everybody know that 906 00:53:46,040 --> 00:53:50,440 Speaker 1: this moment of mass mobilization against a virus just out 907 00:53:50,480 --> 00:53:53,960 Speaker 1: of the Olinsky text, out of rules for radicals. Now 908 00:53:54,040 --> 00:53:56,160 Speaker 1: you have a mass mobilization that they want to use 909 00:53:56,680 --> 00:53:59,799 Speaker 1: for all the other left wing socialist agenda items. True 910 00:53:59,800 --> 00:54:03,480 Speaker 1: and Canada. True here in America too. Thanks for listening 911 00:54:03,520 --> 00:54:08,160 Speaker 1: to the Bust. Remember to subscribe on Apple Podcasts, the 912 00:54:08,280 --> 00:54:12,600 Speaker 1: iHeart Radio app, or wherever you get your podcasts. Let's 913 00:54:12,680 --> 00:54:17,800 Speaker 1: dive into the latest on COVID nineteen, lockdowns, vaccines, college 914 00:54:18,120 --> 00:54:21,919 Speaker 1: debt forgiveness, and oh so much more with our friend 915 00:54:22,040 --> 00:54:29,799 Speaker 1: James Altucher. He is an entrepreneur, podcaster, or author, general thinker. Guy. 916 00:54:29,840 --> 00:54:31,759 Speaker 1: You should be following and listening to a whole bunch 917 00:54:31,800 --> 00:54:34,439 Speaker 1: of things. And James, great to have you on the show. 918 00:54:36,200 --> 00:54:39,359 Speaker 1: Buck once again, So so many things happening, so great 919 00:54:39,400 --> 00:54:41,439 Speaker 1: to be on the show to talk about them. Let's 920 00:54:41,480 --> 00:54:45,240 Speaker 1: start with Let's start, if we can, with college debt forgiveness, 921 00:54:45,280 --> 00:54:47,839 Speaker 1: because I find this to be fascinating. The Biden team 922 00:54:47,920 --> 00:54:51,680 Speaker 1: now with the assumption that they will be the new administration, 923 00:54:51,800 --> 00:54:53,840 Speaker 1: that's what they're acting upon. At least they're saying that 924 00:54:54,000 --> 00:54:56,560 Speaker 1: they will be the new administration. They're claiming that they're 925 00:54:56,600 --> 00:55:00,160 Speaker 1: going to. I believe the latest plan is forgive, which 926 00:55:00,160 --> 00:55:02,920 Speaker 1: just means have the federal government wipe away up to 927 00:55:03,040 --> 00:55:06,880 Speaker 1: fifty thousand dollars of student loan debt for people. And 928 00:55:07,040 --> 00:55:09,120 Speaker 1: I see this, and I say, there's so much about 929 00:55:09,200 --> 00:55:13,279 Speaker 1: this that's bothersome, and it really just feels like, you know, 930 00:55:13,719 --> 00:55:17,279 Speaker 1: this would be like if the Republican said, you know, 931 00:55:17,560 --> 00:55:21,080 Speaker 1: we're going to find a favored constituency and just straight 932 00:55:21,160 --> 00:55:23,399 Speaker 1: up right checks out of the Treasury Department to them 933 00:55:23,840 --> 00:55:26,480 Speaker 1: because it'll help us, it'll bail us out. This is 934 00:55:26,560 --> 00:55:30,200 Speaker 1: money going from welders and mechanics to people who went 935 00:55:30,239 --> 00:55:35,040 Speaker 1: to third tiered liberal arts colleges and studied wokeness. Yeah, buck, 936 00:55:35,480 --> 00:55:38,560 Speaker 1: this is so upsetting. By the way, I didn't even 937 00:55:38,600 --> 00:55:40,840 Speaker 1: know how you felt about this particular issue. You know, 938 00:55:40,960 --> 00:55:44,799 Speaker 1: everyone feels differently, whether particularly whether they have debt or not. Well, 939 00:55:44,840 --> 00:55:48,160 Speaker 1: let's just look at it from an economic perspective. Who 940 00:55:48,200 --> 00:55:51,800 Speaker 1: are you going to help the person who studied, you know, 941 00:55:52,200 --> 00:55:56,600 Speaker 1: some you know, got an English degree at Harvard or 942 00:55:56,680 --> 00:55:59,319 Speaker 1: Princeton or wherever and get rid of some of their debt, 943 00:55:59,760 --> 00:56:02,759 Speaker 1: Or are the tens of millions of people who have 944 00:56:02,840 --> 00:56:06,400 Speaker 1: been left unemployed by this pandemic, many people living in 945 00:56:06,880 --> 00:56:10,040 Speaker 1: low income housing who can't even afford afford to get, 946 00:56:10,120 --> 00:56:14,880 Speaker 1: like I don't know, a manicurist license or a license 947 00:56:14,960 --> 00:56:18,120 Speaker 1: to practice any job that will get them out of poverty. 948 00:56:18,280 --> 00:56:20,440 Speaker 1: And instead, let's just give free money to people who 949 00:56:20,480 --> 00:56:23,120 Speaker 1: are already well off, already have jobs, already went to 950 00:56:23,200 --> 00:56:25,719 Speaker 1: a good school. You know, people, the kids who go 951 00:56:25,800 --> 00:56:29,200 Speaker 1: to college that they represent the top two thirds of society. 952 00:56:29,960 --> 00:56:33,600 Speaker 1: Are we once again we elect a president who was 953 00:56:33,719 --> 00:56:37,520 Speaker 1: neglecting completely the bottom third of society and the exact 954 00:56:38,520 --> 00:56:42,080 Speaker 1: marginalized population that Joe Biden kept promising with support. He 955 00:56:42,280 --> 00:56:47,000 Speaker 1: instantly abandoned the instant he's elected. It's so disappointing. I mean, 956 00:56:47,080 --> 00:56:49,520 Speaker 1: I got into I got into business schools. I got 957 00:56:49,560 --> 00:56:53,200 Speaker 1: into a couple of Ivy League business schools, and I 958 00:56:53,320 --> 00:56:57,000 Speaker 1: didn't go because I had been a government employee. I 959 00:56:57,200 --> 00:56:59,480 Speaker 1: didn't have a lot of money at all, and I 960 00:56:59,680 --> 00:57:02,040 Speaker 1: didn't want to take out when you know what maybe 961 00:57:02,120 --> 00:57:03,840 Speaker 1: not want to do one I want to work in media. 962 00:57:03,920 --> 00:57:06,960 Speaker 1: But also, James, I didn't want to pay back loans 963 00:57:07,000 --> 00:57:09,520 Speaker 1: that I knew when all said and done. People always say, oh, 964 00:57:09,560 --> 00:57:13,160 Speaker 1: I took out one hundred and fifty thousand dollars of loans, 965 00:57:13,640 --> 00:57:15,600 Speaker 1: But what they don't realize is that when you pay 966 00:57:15,680 --> 00:57:18,720 Speaker 1: those off on the schedule, it's actually about three hundred 967 00:57:18,760 --> 00:57:21,520 Speaker 1: thousand dollars of earnings over your life that you that 968 00:57:21,800 --> 00:57:24,760 Speaker 1: you're paying back, and you have to make you know, 969 00:57:24,880 --> 00:57:26,960 Speaker 1: considerably more than that at a at a you know, 970 00:57:27,040 --> 00:57:29,960 Speaker 1: at a decent federal tax rate. To have the three 971 00:57:30,040 --> 00:57:32,560 Speaker 1: hundred thousand dollars of your life, it's a huge expense. 972 00:57:32,960 --> 00:57:34,960 Speaker 1: And so I didn't do that. I wanted to get 973 00:57:35,000 --> 00:57:37,600 Speaker 1: a job instead. If I thought the government would just 974 00:57:37,640 --> 00:57:40,720 Speaker 1: go say, yeah, your Columbia MBA or your award in MBA, 975 00:57:41,240 --> 00:57:43,880 Speaker 1: we're paying for it for you, I probably would have 976 00:57:43,880 --> 00:57:46,240 Speaker 1: gone to b school for a couple of years. Yeah, buck, 977 00:57:46,400 --> 00:57:51,280 Speaker 1: this is so ridiculous, Like essentially, they go to eighteen 978 00:57:51,360 --> 00:57:55,160 Speaker 1: year olds who don't even have the don't even have 979 00:57:55,240 --> 00:57:58,280 Speaker 1: the ability to understand what's a huge risk, what's not. 980 00:57:58,640 --> 00:58:00,800 Speaker 1: They say, oh, here's a quarter a million dollars you 981 00:58:00,880 --> 00:58:03,800 Speaker 1: could borrow. And by the way, don't worry about this yet. 982 00:58:04,040 --> 00:58:06,040 Speaker 1: But this is the one kind of debt you can't 983 00:58:06,120 --> 00:58:09,760 Speaker 1: get rid of in a bankruptcy. We will garnish your wages, 984 00:58:10,080 --> 00:58:12,760 Speaker 1: we will make your life miserable, and forget about being 985 00:58:12,800 --> 00:58:16,200 Speaker 1: an entrepreneur. Like we're generating an entire generation of kids 986 00:58:16,640 --> 00:58:19,080 Speaker 1: that can't be entrepreneurs. They have to they have to 987 00:58:19,600 --> 00:58:22,680 Speaker 1: start paying back their loans right away. And again, we're 988 00:58:22,720 --> 00:58:25,360 Speaker 1: not helping the people who need help. Let's think about 989 00:58:25,520 --> 00:58:28,680 Speaker 1: I mean, sure, it always sounds like good intentions. The 990 00:58:28,800 --> 00:58:33,120 Speaker 1: Department of Education started in nineteen eighty. Ever, since nineteen eighty, 991 00:58:33,600 --> 00:58:38,000 Speaker 1: college tuitions have risen three times faster than a then inflation. 992 00:58:38,880 --> 00:58:41,720 Speaker 1: Debt has gone from zero to one point six trillion 993 00:58:41,760 --> 00:58:44,960 Speaker 1: dollars in student loan debt. I mean, the president of 994 00:58:45,120 --> 00:58:48,480 Speaker 1: Quinnipiac College, what school is that, I don't know, makes 995 00:58:48,520 --> 00:58:52,200 Speaker 1: over three million dollars. Why because the student he knows 996 00:58:52,280 --> 00:58:54,760 Speaker 1: the government's gonna make the students all pay this debt. 997 00:58:55,000 --> 00:58:59,040 Speaker 1: And now Joe Biden's administration is gonna forgive this debt. 998 00:58:59,080 --> 00:59:03,000 Speaker 1: And again, what about the girl raising three kids living 999 00:59:03,040 --> 00:59:06,640 Speaker 1: in low income housing who has been I don't know, 1000 00:59:06,840 --> 00:59:09,080 Speaker 1: doing her friends nails all her life, but she can't 1001 00:59:09,080 --> 00:59:13,080 Speaker 1: afford to get a blue collar license to work in 1002 00:59:13,120 --> 00:59:15,920 Speaker 1: a nail saloon. These are people who are actually starving, 1003 00:59:16,440 --> 00:59:20,160 Speaker 1: while you know, people who went to great school or 1004 00:59:20,160 --> 00:59:23,120 Speaker 1: are vacationing and getting a fifty thousand dollars check from Biden. 1005 00:59:23,760 --> 00:59:28,800 Speaker 1: Speaking of James Altucher, author, podcast or entrepreneur, and as 1006 00:59:28,840 --> 00:59:30,840 Speaker 1: I've been saying, guy whose insights you should hear on, 1007 00:59:30,880 --> 00:59:33,160 Speaker 1: this is a whole bunch of topics. What do you think, 1008 00:59:33,240 --> 00:59:36,400 Speaker 1: if anything, should be done. I mean, my position is 1009 00:59:37,080 --> 00:59:39,680 Speaker 1: that there should be a lot more And this is 1010 00:59:39,760 --> 00:59:42,360 Speaker 1: a broad I know there's a broad spectrum approach. There 1011 00:59:42,360 --> 00:59:45,200 Speaker 1: should be a lot more focus on one delaying. I 1012 00:59:45,240 --> 00:59:47,400 Speaker 1: don't think people should go from high school right into college. 1013 00:59:47,440 --> 00:59:48,880 Speaker 1: I think the gap year. I mean, they do this 1014 00:59:49,000 --> 00:59:51,200 Speaker 1: in Europe, they do this in other places. I think 1015 00:59:51,200 --> 00:59:53,200 Speaker 1: a gap year at least makes a lot of sense. 1016 00:59:53,320 --> 00:59:58,040 Speaker 1: Spend a year or two, you know, making likely minimum 1017 00:59:58,080 --> 01:00:01,160 Speaker 1: wage somewhere or at least doing service or whatever it 1018 01:00:01,240 --> 01:00:04,760 Speaker 1: may be, and then have a better understanding of what 1019 01:00:04,880 --> 01:00:07,600 Speaker 1: it is you want to do. I think four years 1020 01:00:07,640 --> 01:00:11,520 Speaker 1: for most undergrad programs is probably absurd. They should condense it. 1021 01:00:11,880 --> 01:00:14,920 Speaker 1: I think the college tuitions are far too high now 1022 01:00:15,000 --> 01:00:17,240 Speaker 1: we see with all this remote learning. I mean, I 1023 01:00:17,400 --> 01:00:20,800 Speaker 1: think there needs to be a pretty radical rethink of 1024 01:00:20,920 --> 01:00:25,520 Speaker 1: this four year liberal arts degree as a ticket to 1025 01:00:25,680 --> 01:00:28,240 Speaker 1: a better future. For a lot of people, that's just 1026 01:00:28,400 --> 01:00:30,800 Speaker 1: not the case, and especially when you're talking about taking 1027 01:00:30,880 --> 01:00:34,280 Speaker 1: out you know, sixty seventy thousand dollars of loans a 1028 01:00:34,400 --> 01:00:36,560 Speaker 1: year when you add in housing expense and everything else 1029 01:00:37,040 --> 01:00:39,919 Speaker 1: to go to schools. That no one ever is gonna say, oh, wow, 1030 01:00:40,000 --> 01:00:41,800 Speaker 1: you went there, I'm going to give you a job now. 1031 01:00:41,880 --> 01:00:45,160 Speaker 1: I don't think people understand that. I mean, kids don't. 1032 01:00:45,320 --> 01:00:48,600 Speaker 1: I mean there is a lot of I mean, since 1033 01:00:48,800 --> 01:00:52,640 Speaker 1: nineteen ninety two, the average college graduate between the ages 1034 01:00:52,640 --> 01:00:56,000 Speaker 1: of eighteen and thirty five income has gone down inflation adjusted. 1035 01:00:56,280 --> 01:00:58,680 Speaker 1: So it's not as even as if going to college 1036 01:00:58,720 --> 01:01:01,560 Speaker 1: gets you a better income. People say, oh, well, it 1037 01:01:01,600 --> 01:01:04,120 Speaker 1: gives you a better social experience. Let me tell you something. 1038 01:01:04,280 --> 01:01:06,760 Speaker 1: For two hundred and fifty thousand dollars, an eighteen year 1039 01:01:06,800 --> 01:01:09,760 Speaker 1: old is gonna doesn't need twenty fifty thousand dollars to 1040 01:01:09,800 --> 01:01:11,920 Speaker 1: figure out out how to be social with friends. Like 1041 01:01:12,160 --> 01:01:15,520 Speaker 1: they're gonna drink and have a party and make friends, 1042 01:01:15,760 --> 01:01:18,920 Speaker 1: and you know what, they're gonna work too. So I 1043 01:01:19,360 --> 01:01:21,520 Speaker 1: don't even know. I mean, this is an extreme view, 1044 01:01:21,600 --> 01:01:24,320 Speaker 1: but I'm not even sure what the benefits of college are. 1045 01:01:24,440 --> 01:01:26,920 Speaker 1: It does not help get a job anymore, it does 1046 01:01:27,000 --> 01:01:30,320 Speaker 1: not help get a bigger income. I don't remember. Do 1047 01:01:30,320 --> 01:01:34,160 Speaker 1: you remember any college. I don't certainly remember anything or 1048 01:01:34,280 --> 01:01:37,479 Speaker 1: very little. It's thirty years ago, and most people don't 1049 01:01:37,840 --> 01:01:40,560 Speaker 1: do for a career what they did in college. You 1050 01:01:40,600 --> 01:01:42,080 Speaker 1: can go to a library, you could read a book, 1051 01:01:42,120 --> 01:01:45,000 Speaker 1: you could take online classes. I agree, I don't think 1052 01:01:45,000 --> 01:01:48,800 Speaker 1: there should be a college, James. I think that this 1053 01:01:48,960 --> 01:01:52,920 Speaker 1: needs to be just radically, you know, changed. I mean, 1054 01:01:52,960 --> 01:01:54,680 Speaker 1: I think it's a lot of things, a lot of 1055 01:01:54,720 --> 01:01:57,600 Speaker 1: moving pieces here. But yeah, I don't I don't talk 1056 01:01:57,640 --> 01:02:00,480 Speaker 1: to anybody went to college with really anymore. And I 1057 01:02:00,560 --> 01:02:03,320 Speaker 1: don't care. I don't go back. I wasn't in a fraternity. 1058 01:02:03,360 --> 01:02:05,560 Speaker 1: I just I don't understand. I think this is an 1059 01:02:05,600 --> 01:02:09,640 Speaker 1: old model, and especially with the way information now, people 1060 01:02:09,720 --> 01:02:11,560 Speaker 1: have so much more access. I mean, you can watch, 1061 01:02:11,800 --> 01:02:14,480 Speaker 1: you can listen on podcast, you can watch on YouTube. 1062 01:02:15,200 --> 01:02:18,440 Speaker 1: Yale professors and they have the whole syllabus online. I mean, 1063 01:02:18,480 --> 01:02:20,400 Speaker 1: you can actually do this stuff on your own if 1064 01:02:20,440 --> 01:02:22,840 Speaker 1: you really want to know. But it was the thing 1065 01:02:22,920 --> 01:02:25,640 Speaker 1: is it was largely, I believe, a credentialing program, and 1066 01:02:25,760 --> 01:02:29,320 Speaker 1: that's really what and it turned into this big arms 1067 01:02:29,400 --> 01:02:32,000 Speaker 1: race to get into certain schools, and getting into that 1068 01:02:32,080 --> 01:02:34,480 Speaker 1: school means that you're going to, you know, have this 1069 01:02:34,640 --> 01:02:37,520 Speaker 1: much better life. Well there's only so many schools, that's 1070 01:02:37,560 --> 01:02:39,440 Speaker 1: really true. If and even those schools, it's not a 1071 01:02:39,480 --> 01:02:42,520 Speaker 1: ticket to anything necessarily it can be an advantage, but 1072 01:02:43,000 --> 01:02:45,440 Speaker 1: I think that this has all been It isn't arms race, 1073 01:02:45,520 --> 01:02:50,919 Speaker 1: and so the basic undergraduate degree has been diluted, even 1074 01:02:51,520 --> 01:02:54,240 Speaker 1: as a marketplace thing. Forget about what you actually learn, 1075 01:02:54,320 --> 01:02:56,920 Speaker 1: which I think is minimal at best in most of 1076 01:02:56,960 --> 01:03:01,920 Speaker 1: these schools. I think that the value of it has changed. 1077 01:03:02,040 --> 01:03:04,400 Speaker 1: I mean, if you have more people than ever with 1078 01:03:04,480 --> 01:03:08,000 Speaker 1: undergraduate degrees, people should understand the basic economics of this. 1079 01:03:08,440 --> 01:03:11,400 Speaker 1: That means that your undergraduate degree is less competitive for 1080 01:03:11,600 --> 01:03:14,560 Speaker 1: jobs when you get out. And we keep seeing this happen. Yeah, 1081 01:03:14,680 --> 01:03:20,120 Speaker 1: I mean again, there's been studies that show, you know, oh, 1082 01:03:20,320 --> 01:03:23,800 Speaker 1: thirty years after getting a degree, you'll you'll have more 1083 01:03:24,280 --> 01:03:27,160 Speaker 1: money in the bank. But these studies show that if 1084 01:03:27,200 --> 01:03:29,920 Speaker 1: you graduated in nineteen eighty, thirty years later you'll have 1085 01:03:30,000 --> 01:03:32,400 Speaker 1: money in the bank. Nineteen eighty they didn't have any 1086 01:03:32,400 --> 01:03:35,880 Speaker 1: student loan debt and tuitions were much cheaper. But even 1087 01:03:36,000 --> 01:03:39,800 Speaker 1: if you look at those studies, benefit only happens if 1088 01:03:39,840 --> 01:03:41,840 Speaker 1: you went to Harvard. It turns out that all the 1089 01:03:41,880 --> 01:03:45,600 Speaker 1: statistics are bs unless you're talking about Harvard. And so 1090 01:03:45,840 --> 01:03:49,200 Speaker 1: even those studies which should do well are not doing well. 1091 01:03:49,240 --> 01:03:51,919 Speaker 1: And it's it's so much worse right now, And I agree. 1092 01:03:51,960 --> 01:03:54,760 Speaker 1: There's so many great courses online you could take. You 1093 01:03:54,800 --> 01:03:58,440 Speaker 1: could take screenwriting from Aaron Sorkin. You could take you know, 1094 01:03:58,640 --> 01:04:01,200 Speaker 1: history from you of all Harror. You could take cooking 1095 01:04:01,280 --> 01:04:05,160 Speaker 1: for Wolfgang Puck. You could learn actual skills as an 1096 01:04:05,200 --> 01:04:08,800 Speaker 1: apprentice somewhere. You know. I have five kids. Some of 1097 01:04:08,840 --> 01:04:10,680 Speaker 1: them go to college, some of them don't. The ones 1098 01:04:10,680 --> 01:04:12,840 Speaker 1: who don't go to college, they get an extra four years. 1099 01:04:13,160 --> 01:04:15,440 Speaker 1: They get they have money in the bank when everyone 1100 01:04:15,480 --> 01:04:18,240 Speaker 1: else is in debt, and it's just a great thing. 1101 01:04:18,360 --> 01:04:22,240 Speaker 1: The kids don't forget we're talking about a one point 1102 01:04:22,360 --> 01:04:26,280 Speaker 1: six trillion dollar loan industry. Do you think they're gonna 1103 01:04:26,320 --> 01:04:29,240 Speaker 1: just let that industry die without putting up a fight? 1104 01:04:29,520 --> 01:04:32,000 Speaker 1: There is so much marketing. Oh no, you have to 1105 01:04:32,040 --> 01:04:34,320 Speaker 1: go to college so they have a well rounded education. 1106 01:04:35,440 --> 01:04:37,960 Speaker 1: When was the last time you had to calculate the 1107 01:04:38,160 --> 01:04:40,440 Speaker 1: volume of a cylinder or you had to know what 1108 01:04:40,600 --> 01:04:43,320 Speaker 1: Ohm's law was, or what the twelfth element on the 1109 01:04:43,400 --> 01:04:47,680 Speaker 1: periodic table is? Like, people don't need the things you 1110 01:04:47,840 --> 01:04:50,640 Speaker 1: learned in college. You never use later on in life. 1111 01:04:50,800 --> 01:04:52,880 Speaker 1: And by the way, your closest friends later on in 1112 01:04:52,960 --> 01:04:55,200 Speaker 1: life are the people you work with and your family 1113 01:04:55,240 --> 01:04:57,760 Speaker 1: and the people you grow with as an adult, like 1114 01:04:58,760 --> 01:05:01,280 Speaker 1: you know, I look, they agree. I think what the 1115 01:05:01,320 --> 01:05:05,040 Speaker 1: actual value of colleges it needs to be radically rethought. Yeah, James, 1116 01:05:05,080 --> 01:05:06,560 Speaker 1: can we can we hold you through for a second. 1117 01:05:06,560 --> 01:05:07,880 Speaker 1: I want to come back and talk to you about 1118 01:05:07,880 --> 01:05:10,919 Speaker 1: the pandemic and the flight from NYC. We got James 1119 01:05:10,960 --> 01:05:13,640 Speaker 1: al Tucher with us. Everybody follow him on social media, 1120 01:05:14,080 --> 01:05:17,920 Speaker 1: check out his podcast, his books, and he's an entrepreneur. 1121 01:05:17,960 --> 01:05:23,760 Speaker 1: Will be right back. You're in. This is the Buck 1122 01:05:23,840 --> 01:05:30,160 Speaker 1: Sex and Show podcast. We're back with my friend James 1123 01:05:30,240 --> 01:05:35,680 Speaker 1: al Tucher, podcaster, author, entrepreneur James Big story over the weekend. 1124 01:05:36,600 --> 01:05:40,480 Speaker 1: They're looking at address changes now during the pandemic here 1125 01:05:40,560 --> 01:05:44,680 Speaker 1: from NYC, so permanent change of address A few hundred thousand? 1126 01:05:44,680 --> 01:05:49,120 Speaker 1: Think was three hundred thousand households left New York. Now 1127 01:05:49,160 --> 01:05:51,320 Speaker 1: those are households, so that doesn't mean three d thousand people. 1128 01:05:51,320 --> 01:05:55,960 Speaker 1: That could be right, two three four people even, Um, 1129 01:05:56,400 --> 01:05:58,800 Speaker 1: what do you think of this number and what do 1130 01:05:58,880 --> 01:06:03,520 Speaker 1: you think it's telling us about out New York's prospects? Well, look, 1131 01:06:03,760 --> 01:06:06,000 Speaker 1: I love New York. Nobody I've lived in New York 1132 01:06:06,040 --> 01:06:09,040 Speaker 1: all my life I live there now. But this is 1133 01:06:09,120 --> 01:06:12,160 Speaker 1: exactly what I wrote in my column in August, which 1134 01:06:12,240 --> 01:06:18,400 Speaker 1: everybody then hated on. But the reality is, sales taxes 1135 01:06:18,440 --> 01:06:21,520 Speaker 1: are going down, income taxes are going down, property taxes 1136 01:06:21,520 --> 01:06:24,240 Speaker 1: are going down. One important New York residents haven't paid 1137 01:06:24,320 --> 01:06:27,720 Speaker 1: rent since March. Eight thousand to ten thousand restaurants are 1138 01:06:27,760 --> 01:06:30,560 Speaker 1: out of business, maybe eighty thousand small businesses are out 1139 01:06:30,600 --> 01:06:33,360 Speaker 1: of business. People are going to leave. If you can't 1140 01:06:33,520 --> 01:06:36,400 Speaker 1: pay for New York City services through taxes, New York 1141 01:06:36,400 --> 01:06:39,920 Speaker 1: City has to fire garbage collectors, teachers, emt workers, police. 1142 01:06:40,440 --> 01:06:42,920 Speaker 1: It's not a good situation. If you can't provide services, 1143 01:06:43,320 --> 01:06:45,400 Speaker 1: people will want to leave. If you're gonna if you're 1144 01:06:45,440 --> 01:06:47,840 Speaker 1: threatening to raise taxes, people will want to leave. This 1145 01:06:48,000 --> 01:06:50,959 Speaker 1: is exactly what's happening. It's not three hundred thousand people. 1146 01:06:51,200 --> 01:06:53,600 Speaker 1: It's more like a million. And you're not even hearing 1147 01:06:53,680 --> 01:06:55,960 Speaker 1: from the people who don't submit change of address. Like 1148 01:06:56,000 --> 01:06:59,040 Speaker 1: a lot of young people just simply left town move back. 1149 01:06:59,120 --> 01:07:01,440 Speaker 1: Two million people in the country moved back in with 1150 01:07:01,560 --> 01:07:05,360 Speaker 1: their parents from urban areas, So three hundred thousands the 1151 01:07:05,400 --> 01:07:08,000 Speaker 1: tip of the iceberg. They're saying New York City's thirty 1152 01:07:08,040 --> 01:07:11,240 Speaker 1: five percent down in sales taxes. Wait till income taxes 1153 01:07:11,320 --> 01:07:13,440 Speaker 1: hit in twenty twenty one and twenty twenty two as 1154 01:07:13,520 --> 01:07:17,479 Speaker 1: people are leaving. It's a disaster. And I've got to say, 1155 01:07:17,960 --> 01:07:20,600 Speaker 1: there's no reason to believe that the powers that be. 1156 01:07:20,720 --> 01:07:24,320 Speaker 1: I mean, I'm pretty I'm tough on Cuomo Deblasio on 1157 01:07:24,440 --> 01:07:26,520 Speaker 1: this show, but I don't think I'm tough enough. I mean, 1158 01:07:26,520 --> 01:07:28,760 Speaker 1: I think they're two of the worst politicians in the country. 1159 01:07:29,800 --> 01:07:31,840 Speaker 1: I really do believe that Deblasio was the worst mayor 1160 01:07:31,880 --> 01:07:35,160 Speaker 1: in America for a large city. And it seems like 1161 01:07:35,840 --> 01:07:40,040 Speaker 1: there's almost a part, especially if Deblasio, that welcomes this 1162 01:07:40,280 --> 01:07:43,720 Speaker 1: catastrophe economically, you know, this financial catastrophe for the city, 1163 01:07:44,000 --> 01:07:46,600 Speaker 1: because it allows for the great remaking of New York 1164 01:07:47,120 --> 01:07:54,000 Speaker 1: into this you know, load of middle income paradise where 1165 01:07:54,040 --> 01:07:57,480 Speaker 1: the state is providing for people. Yeah, which, by the way, 1166 01:07:57,600 --> 01:08:01,360 Speaker 1: the city can't afford. Right there are about fifty billion 1167 01:08:01,400 --> 01:08:03,400 Speaker 1: dollars in the whole when you really add it up. 1168 01:08:03,680 --> 01:08:07,520 Speaker 1: And already Deblasio is threatened to fire twenty two thousand 1169 01:08:07,560 --> 01:08:10,520 Speaker 1: city employees. These are people who have worked all their 1170 01:08:10,560 --> 01:08:13,200 Speaker 1: lives for the city. They were essential workers. During the pandemic. 1171 01:08:13,560 --> 01:08:16,200 Speaker 1: Now they're the first one is being fired. And again 1172 01:08:16,320 --> 01:08:18,720 Speaker 1: that's gonna provide that's gonna make the city provide even 1173 01:08:18,800 --> 01:08:22,360 Speaker 1: fewer services. So you can have guys like Seinfeld from 1174 01:08:22,360 --> 01:08:24,720 Speaker 1: the Hampton say, New York City will live forever. We've 1175 01:08:24,760 --> 01:08:26,559 Speaker 1: got grit. But what are you going to tell these 1176 01:08:26,640 --> 01:08:30,160 Speaker 1: people who who live paycheck to paycheck need their jobs. 1177 01:08:30,200 --> 01:08:33,679 Speaker 1: We're frontline workers and now they're getting fired and there's 1178 01:08:33,720 --> 01:08:35,760 Speaker 1: no way to pay for them. There's no way to 1179 01:08:36,560 --> 01:08:38,439 Speaker 1: raise the money to pay for them. Like, you know 1180 01:08:38,479 --> 01:08:40,559 Speaker 1: what you have to do. And this is not going 1181 01:08:40,600 --> 01:08:43,200 Speaker 1: to be popular. But why is New York City running 1182 01:08:43,400 --> 01:08:46,720 Speaker 1: twenty seven hospitals poorly? Give them to sell them for 1183 01:08:46,840 --> 01:08:49,720 Speaker 1: thirty billion dollars to a company that will run them successfully. 1184 01:08:50,000 --> 01:08:52,360 Speaker 1: Why are we running all these city University of New 1185 01:08:52,439 --> 01:08:55,280 Speaker 1: York So are we in the education business? No, we're cities. 1186 01:08:55,800 --> 01:08:58,960 Speaker 1: Sell them to a bigger institution or just get rid 1187 01:08:59,000 --> 01:09:02,320 Speaker 1: of them. What are we doing? Like right now, everybody 1188 01:09:02,360 --> 01:09:05,760 Speaker 1: who makes a dollar buys on Amazon. No one is 1189 01:09:05,800 --> 01:09:09,760 Speaker 1: shopping local anymore. We need to open stores. We're addicted 1190 01:09:09,800 --> 01:09:13,040 Speaker 1: to Amazon and so money is not staying in the city. 1191 01:09:13,280 --> 01:09:16,519 Speaker 1: We need to provide incentives somehow for people to shop locally. 1192 01:09:16,600 --> 01:09:20,080 Speaker 1: Do some kind of creative couponing or even some crypto 1193 01:09:20,160 --> 01:09:24,920 Speaker 1: solution get people shopping locally. But it's gonna be really 1194 01:09:25,000 --> 01:09:27,280 Speaker 1: hard to encourage people to move back to New York. 1195 01:09:27,560 --> 01:09:30,240 Speaker 1: Every no company wants the liability, so they're telling their 1196 01:09:30,280 --> 01:09:34,639 Speaker 1: employees work remote. Every company loves saving on the costs, 1197 01:09:34,960 --> 01:09:38,200 Speaker 1: so hey, we could, we could at least less floor space. 1198 01:09:38,760 --> 01:09:44,360 Speaker 1: And finally, employees, your studies are showing they're more productive 1199 01:09:44,520 --> 01:09:47,719 Speaker 1: working at home. So I don't know what's going to happen, 1200 01:09:48,000 --> 01:09:50,599 Speaker 1: but it's not good. And everybody I speak to has 1201 01:09:50,640 --> 01:09:53,360 Speaker 1: not even offered a single solution. What do you think? 1202 01:09:53,479 --> 01:09:57,080 Speaker 1: Just real quick, what's your your sixty second take or 1203 01:09:57,160 --> 01:09:59,880 Speaker 1: so on. Now they're telling us we got a mask 1204 01:10:00,120 --> 01:10:03,960 Speaker 1: up in social distance after the distribution of a vaccine. 1205 01:10:04,000 --> 01:10:05,920 Speaker 1: So even if you get a vaccine that's ninety five 1206 01:10:05,960 --> 01:10:08,880 Speaker 1: percent effective as an individual, they're still being You're still 1207 01:10:08,880 --> 01:10:10,600 Speaker 1: being told by doctor fault. You know, there's wear a 1208 01:10:10,640 --> 01:10:13,479 Speaker 1: mask and social distance. Yeah. I mean, look at like 1209 01:10:13,600 --> 01:10:18,200 Speaker 1: Boris Johnson right now, he already had coronavirus, and today 1210 01:10:18,240 --> 01:10:21,799 Speaker 1: it was revealed he was exposed to someone with COVID nineteen. 1211 01:10:22,000 --> 01:10:26,160 Speaker 1: So he's quarantining himself. Where is the studies on the immunity? Okay, 1212 01:10:26,240 --> 01:10:30,240 Speaker 1: this this virus has been around for since probably last December. 1213 01:10:30,640 --> 01:10:33,080 Speaker 1: What do we know? We must know something about immunity. 1214 01:10:33,160 --> 01:10:35,400 Speaker 1: What's the story? How are these vaccines being made of 1215 01:10:35,520 --> 01:10:37,680 Speaker 1: not taking into account community? We're gonna need a new 1216 01:10:37,760 --> 01:10:40,800 Speaker 1: vaccine every three months. This is just too chaotic. Now 1217 01:10:41,160 --> 01:10:44,320 Speaker 1: we know better about the populations that get hit by this, 1218 01:10:44,680 --> 01:10:48,080 Speaker 1: we know better about treatment. Let's just us as people 1219 01:10:48,360 --> 01:10:50,479 Speaker 1: figure this out. We're not idiots. We don't need to 1220 01:10:50,600 --> 01:10:52,800 Speaker 1: have our hands held by the government. If there's an 1221 01:10:52,840 --> 01:10:56,280 Speaker 1: outbreak of twelve people in Minnesota, get them treated and 1222 01:10:56,439 --> 01:10:58,719 Speaker 1: keep them. You know, we always have to be careful 1223 01:10:58,720 --> 01:11:02,599 Speaker 1: about contact tracing. Now people are being literally shipped into 1224 01:11:03,360 --> 01:11:07,360 Speaker 1: practically prisons for people who are being quarantined, who are 1225 01:11:07,400 --> 01:11:10,360 Speaker 1: exposed to other people with COVID. Some of those conditions 1226 01:11:10,400 --> 01:11:13,840 Speaker 1: are getting pretty nasty. So the whole solutions a mess 1227 01:11:13,960 --> 01:11:15,599 Speaker 1: right now. It's a mess. They need to back off. 1228 01:11:15,960 --> 01:11:20,360 Speaker 1: Everybody listening to James Altucher follow him on social podcaster, author, 1229 01:11:20,439 --> 01:11:23,320 Speaker 1: entrepreneur James always appreciate your time. Fuck thanks so much. 1230 01:11:24,160 --> 01:11:27,599 Speaker 1: Thanks for listening to The Bus Sesson Show podcasts. Remember 1231 01:11:27,680 --> 01:11:30,960 Speaker 1: to subscribe on Apple podcasts, the iHeart Radio app, or 1232 01:11:31,040 --> 01:11:34,920 Speaker 1: wherever you get your podcasts. You know who, I really 1233 01:11:35,000 --> 01:11:37,200 Speaker 1: don't think we need to hear from right now for 1234 01:11:37,280 --> 01:11:39,639 Speaker 1: a lot of people. I mean, how wow. Hillary comes 1235 01:11:39,680 --> 01:11:41,640 Speaker 1: to mind, for sure, But you know who, I just 1236 01:11:41,920 --> 01:11:44,400 Speaker 1: don't feel any need whatsoever for us to hear from. 1237 01:11:45,240 --> 01:11:50,360 Speaker 1: That would be Barack Hussein Obama. Don't need to hear 1238 01:11:50,439 --> 01:11:54,200 Speaker 1: from this guy. It's not useful, it's not helpful. But 1239 01:11:54,320 --> 01:11:56,559 Speaker 1: of course we're going to because you know what's really 1240 01:11:56,600 --> 01:12:01,479 Speaker 1: happened here, right Joe Biden has been propped up and 1241 01:12:01,560 --> 01:12:05,800 Speaker 1: put forward as essentially the third term of an Obama administration, 1242 01:12:05,840 --> 01:12:07,120 Speaker 1: which is why you're going to have a lot of 1243 01:12:07,200 --> 01:12:14,000 Speaker 1: Obama alumni, alumni and alumna or whatever who people that 1244 01:12:14,080 --> 01:12:16,480 Speaker 1: work for that administration are going to be in this administration, 1245 01:12:17,400 --> 01:12:20,200 Speaker 1: all of them. So get ready for that's I think 1246 01:12:20,240 --> 01:12:24,280 Speaker 1: that's a guarantee at this point. But here is Obama 1247 01:12:25,240 --> 01:12:29,280 Speaker 1: just piling on with the usual. Trump is a dictator 1248 01:12:30,520 --> 01:12:34,520 Speaker 1: or comparison to dictators in the most reckless an irresponsible 1249 01:12:34,600 --> 01:12:39,960 Speaker 1: fashion play clip eleven. This sense over the last several 1250 01:12:40,080 --> 01:12:46,120 Speaker 1: years that literally anything goes and is justified in order 1251 01:12:46,200 --> 01:12:52,400 Speaker 1: to get power. And that's not unique to the United States. 1252 01:12:52,560 --> 01:12:55,479 Speaker 1: They're strong men and dictators around the world who think 1253 01:12:55,880 --> 01:12:59,320 Speaker 1: that I can do anything to stay in power. I 1254 01:12:59,400 --> 01:13:02,559 Speaker 1: can people, I can throw them in jail, I can 1255 01:13:03,120 --> 01:13:10,120 Speaker 1: run phony elections, I can suppress journalists. But that's not 1256 01:13:10,240 --> 01:13:14,840 Speaker 1: who we're supposed to be. That's crazy. I mean, what 1257 01:13:14,920 --> 01:13:18,400 Speaker 1: he's saying here is insane. First of all, literally anything 1258 01:13:18,479 --> 01:13:22,639 Speaker 1: goes under Trump. Was he asleep for the last four years. 1259 01:13:24,240 --> 01:13:26,519 Speaker 1: Did Trump just say, Okay, you know what, I'm building 1260 01:13:26,560 --> 01:13:28,560 Speaker 1: a wall. I don't care what the courts say. I 1261 01:13:28,600 --> 01:13:30,560 Speaker 1: don't care what's happening. I'm doing and I'm ordering the 1262 01:13:30,600 --> 01:13:34,519 Speaker 1: military to do it and it's done. No, he had 1263 01:13:34,680 --> 01:13:37,320 Speaker 1: judges that said no, and he had to go around 1264 01:13:37,479 --> 01:13:39,439 Speaker 1: and find it in the budget and see if it 1265 01:13:39,600 --> 01:13:42,840 Speaker 1: was legal and then come back and think of all 1266 01:13:42,880 --> 01:13:47,960 Speaker 1: the different issues. Did Trump get rid of Obamacare entirely? No? 1267 01:13:48,120 --> 01:13:49,840 Speaker 1: He did not. Did he just say it's gone. No, 1268 01:13:50,240 --> 01:13:56,120 Speaker 1: didn't happen. What is the unconstitutional action that President Trump 1269 01:13:56,360 --> 01:13:59,080 Speaker 1: engaged in. That's what I really want to know. Where 1270 01:13:59,160 --> 01:14:02,000 Speaker 1: did Trump because Obama broke the Constitution. In a whole 1271 01:14:02,040 --> 01:14:06,439 Speaker 1: bunch of ways, Obama was much closer to a dictator 1272 01:14:06,520 --> 01:14:08,200 Speaker 1: than Trump was. This is the part of this that's 1273 01:14:08,240 --> 01:14:12,720 Speaker 1: so interesting. Let's just take the media, for example, suppressing journalists. 1274 01:14:13,640 --> 01:14:18,360 Speaker 1: CNN might get sold now because they realized that without 1275 01:14:18,400 --> 01:14:21,600 Speaker 1: a Trump presidency, what does CNN even offer. It's not 1276 01:14:21,720 --> 01:14:26,200 Speaker 1: a journalistic enterprise. So what happens to it? You know, 1277 01:14:26,600 --> 01:14:32,000 Speaker 1: how does this have real value going forward? Jim Acosta, 1278 01:14:32,240 --> 01:14:36,760 Speaker 1: these other people at CNN, they elevated their careers by 1279 01:14:36,840 --> 01:14:40,280 Speaker 1: going against the president. That's the opposite of what happens 1280 01:14:41,240 --> 01:14:45,680 Speaker 1: in a dictatorship. In a fascistic state, what you have 1281 01:14:45,880 --> 01:14:49,040 Speaker 1: is the media all fawning over the dear leader. Right. 1282 01:14:49,080 --> 01:14:51,920 Speaker 1: When you look at dictatorships, the media is co opted. 1283 01:14:52,960 --> 01:14:56,120 Speaker 1: And who had a co opted media Obama did. If 1284 01:14:56,200 --> 01:14:58,479 Speaker 1: you went against Obama and the media, you were considered 1285 01:14:58,520 --> 01:15:03,040 Speaker 1: a right wing loon or your career was dramatically damage. 1286 01:15:03,080 --> 01:15:06,240 Speaker 1: You weren't allowed to do it. Nothing Obama did was 1287 01:15:06,320 --> 01:15:08,519 Speaker 1: to be criticized. And there was even little things. You know, 1288 01:15:08,640 --> 01:15:12,160 Speaker 1: they hid the photo of Obama shaking hand during his 1289 01:15:12,240 --> 01:15:14,280 Speaker 1: campaign in two thousand and eight with farracons just because 1290 01:15:14,320 --> 01:15:17,040 Speaker 1: they knew they were supposed to do that. You gotta 1291 01:15:17,160 --> 01:15:19,200 Speaker 1: hide that photo of Obama shaking hand of the Farrakon. 1292 01:15:19,280 --> 01:15:20,760 Speaker 1: That's not gonna look good for him. This was the 1293 01:15:20,840 --> 01:15:26,280 Speaker 1: press about suppressing their suppressing information. The big tech companies 1294 01:15:26,320 --> 01:15:30,439 Speaker 1: were suppressing information about Hunter Biden this time around, and 1295 01:15:30,520 --> 01:15:32,640 Speaker 1: about the Biden's going into the election, as we know. 1296 01:15:33,479 --> 01:15:36,120 Speaker 1: But that's not new in the sense that the media 1297 01:15:36,320 --> 01:15:39,799 Speaker 1: and big tech were colluding on the suppression of information 1298 01:15:39,840 --> 01:15:44,960 Speaker 1: about Obama that was not favorable. Right, Google with their 1299 01:15:45,000 --> 01:15:47,960 Speaker 1: algorithms so many ways that this is done. But Obama 1300 01:15:48,000 --> 01:15:51,120 Speaker 1: had the media in his pocket. That's really troubling. When 1301 01:15:51,200 --> 01:15:54,320 Speaker 1: you have ninety five percent of journalists in a country 1302 01:15:54,920 --> 01:15:58,400 Speaker 1: who will find a way to justify your imprisonment by 1303 01:15:58,720 --> 01:16:02,360 Speaker 1: a leader by a dictation, that's when you got big concerns. 1304 01:16:02,600 --> 01:16:06,880 Speaker 1: When of a journalistic establishment is calling the president, the 1305 01:16:07,040 --> 01:16:10,000 Speaker 1: duly elected president, a trader, and they're getting rich and 1306 01:16:10,120 --> 01:16:13,680 Speaker 1: famous for doing so. Your problem is not fascism. Your 1307 01:16:13,720 --> 01:16:17,439 Speaker 1: problem is a dishonest media. That's the part of this 1308 01:16:18,280 --> 01:16:21,080 Speaker 1: that they're hoping that everybody forgets. That's the component of 1309 01:16:21,160 --> 01:16:23,960 Speaker 1: this whole situation that you have to remember. As they're 1310 01:16:24,000 --> 01:16:29,040 Speaker 1: just going about rewriting history. Hearing including Obama himself here. 1311 01:16:29,080 --> 01:16:34,800 Speaker 1: He is then also saying, I mean, also the stuff 1312 01:16:34,800 --> 01:16:37,080 Speaker 1: about it. Trump can do anything. I can kill people, 1313 01:16:37,120 --> 01:16:40,320 Speaker 1: I can throw them in jail. Who did Trump order 1314 01:16:40,439 --> 01:16:43,280 Speaker 1: killed or who? Because you know Obama did have two 1315 01:16:43,439 --> 01:16:46,760 Speaker 1: US citizens. I'm more Unlucky and his son killed with 1316 01:16:46,880 --> 01:16:50,320 Speaker 1: drone strikes. Never never tried in a court, not even 1317 01:16:50,360 --> 01:16:53,679 Speaker 1: tried an absential that we know about. Nothing, just done killed. 1318 01:16:54,960 --> 01:17:00,080 Speaker 1: Unlucky Sun was sixteen years old, drone strike gone. How 1319 01:17:00,120 --> 01:17:02,479 Speaker 1: many other drone strikes through Obama? Remember that was fine though, 1320 01:17:02,479 --> 01:17:05,920 Speaker 1: because Obama was ordering it. You know that the drone 1321 01:17:05,960 --> 01:17:10,400 Speaker 1: strikes in Afghanistan in Pakistan, just so many of them, 1322 01:17:11,320 --> 01:17:13,280 Speaker 1: and Obama would make jokes about it. But then the 1323 01:17:13,320 --> 01:17:15,200 Speaker 1: government would still pretend that it was some big secrets. 1324 01:17:15,200 --> 01:17:18,360 Speaker 1: So nobody who knew anything about the drone program, people 1325 01:17:18,439 --> 01:17:21,640 Speaker 1: like me could not say anything from their time in 1326 01:17:21,720 --> 01:17:25,000 Speaker 1: the intelligence community. Obama could make jokes about it in public. 1327 01:17:25,080 --> 01:17:27,240 Speaker 1: I mean I'm being serious, literally make jokes about it. 1328 01:17:27,960 --> 01:17:31,400 Speaker 1: Talk about you know, how if anyone, you know, any 1329 01:17:31,479 --> 01:17:35,000 Speaker 1: boys ask his daughters out, you know he's got drones 1330 01:17:35,120 --> 01:17:36,960 Speaker 1: or whatever. I mean, he make jokes about being the 1331 01:17:37,000 --> 01:17:39,920 Speaker 1: president who orders drone strikes, but you couldn't talk about 1332 01:17:39,960 --> 01:17:42,400 Speaker 1: it if you had any knowledge of it and say 1333 01:17:42,479 --> 01:17:45,160 Speaker 1: that the drone strikes were happening where they were because 1334 01:17:45,200 --> 01:17:49,040 Speaker 1: it was classified. Just to protect the government from having 1335 01:17:49,080 --> 01:17:51,439 Speaker 1: to actually explain what was going on with that. The 1336 01:17:51,560 --> 01:17:56,879 Speaker 1: Obama administration governor to explain that Obama tapped the phones 1337 01:17:57,200 --> 01:18:01,120 Speaker 1: used by what twenty associated press journalists. He was tapping 1338 01:18:01,240 --> 01:18:04,200 Speaker 1: the phones of journalist friends to get at their sources. 1339 01:18:05,840 --> 01:18:08,840 Speaker 1: But but Trump is the tyrant. That's the game we're 1340 01:18:08,920 --> 01:18:12,360 Speaker 1: talking about, How Trump is the tyrant? Oh really, the 1341 01:18:12,479 --> 01:18:17,400 Speaker 1: Obama DOJ listed a Fox News reporter at the time. 1342 01:18:17,479 --> 01:18:21,680 Speaker 1: Now he's at Sinclair James Rosen as an unindicted co 1343 01:18:21,880 --> 01:18:26,719 Speaker 1: conspirator on a classified leak of information which people leaked 1344 01:18:26,720 --> 01:18:31,559 Speaker 1: to journalist classified information all the time. But the problem 1345 01:18:31,680 --> 01:18:34,880 Speaker 1: for the press is Trump. So if you oppose Trump, 1346 01:18:35,000 --> 01:18:38,320 Speaker 1: you get more famous and rich. If you are a 1347 01:18:38,840 --> 01:18:42,439 Speaker 1: huge anti Trump demagogue demagogue in the media, you've done 1348 01:18:42,520 --> 01:18:49,240 Speaker 1: nothing but become more famous. Right, and yet this is 1349 01:18:49,280 --> 01:18:53,640 Speaker 1: a brave position, and Trump is a grave threat to 1350 01:18:54,000 --> 01:18:57,519 Speaker 1: humanity as this is absurd, friends, this is absurd, right, 1351 01:18:57,640 --> 01:19:03,400 Speaker 1: Intelligent people can't really believe this, and of course what 1352 01:19:03,520 --> 01:19:06,280 Speaker 1: they really want now is for us to back away 1353 01:19:06,360 --> 01:19:09,920 Speaker 1: from Trump and refuse to continue to support him. Here's 1354 01:19:10,040 --> 01:19:14,080 Speaker 1: Obama talking about those people that because that's what they want. 1355 01:19:14,080 --> 01:19:15,960 Speaker 1: They want ever to pull support from Trump, leave him 1356 01:19:16,040 --> 01:19:18,760 Speaker 1: high and dry. So he flails all by himself in 1357 01:19:18,800 --> 01:19:21,640 Speaker 1: this legal fight, and I say, no, I refuse. I 1358 01:19:21,680 --> 01:19:25,000 Speaker 1: think the president's right to chase down these challenges. He's 1359 01:19:25,120 --> 01:19:30,760 Speaker 1: right to make sure this vote was legitimate. There's nothing elicit, 1360 01:19:30,840 --> 01:19:33,599 Speaker 1: there's nothing illegal or outside the box of what he's doing. 1361 01:19:35,280 --> 01:19:38,439 Speaker 1: Here's though, Obama trying to get Republicans to back off 1362 01:19:38,479 --> 01:19:43,400 Speaker 1: Play thirteen. What are these false claims of widespread election 1363 01:19:43,479 --> 01:19:47,880 Speaker 1: fraud doing to our country right now? The President doesn't 1364 01:19:47,920 --> 01:19:53,280 Speaker 1: like to lose and never admits loss. I'm more troubled 1365 01:19:53,360 --> 01:19:57,320 Speaker 1: by the fact that other Republican officials who clearly know better, 1366 01:19:58,000 --> 01:20:02,639 Speaker 1: are going along with us, are humoring him in this fashion. 1367 01:20:03,880 --> 01:20:07,840 Speaker 1: It is one more step in deal legitimizing not just 1368 01:20:08,200 --> 01:20:12,840 Speaker 1: the incoming Biden administration, but democracy generally. And that's a 1369 01:20:12,960 --> 01:20:15,920 Speaker 1: dangerous path. We would never accept that out of our 1370 01:20:15,920 --> 01:20:21,080 Speaker 1: own kids behaving that way if they lost, I mean, 1371 01:20:21,160 --> 01:20:28,280 Speaker 1: if my daughters in any kind of competition and then 1372 01:20:28,320 --> 01:20:32,639 Speaker 1: accused the other side of cheating when they lost when 1373 01:20:32,680 --> 01:20:35,320 Speaker 1: there was no evidence of it. We'd scold them there 1374 01:20:35,439 --> 01:20:37,320 Speaker 1: is evidence, So they can keep saying there's no evidence, 1375 01:20:37,360 --> 01:20:42,479 Speaker 1: but that's not true. And I also think it's fascinating 1376 01:20:42,520 --> 01:20:44,840 Speaker 1: that they keep going to this. It's a threat to democracy. 1377 01:20:45,360 --> 01:20:50,360 Speaker 1: Oh yes, you mean bringing entirely legitimate legal challenges in 1378 01:20:50,600 --> 01:20:53,920 Speaker 1: a court of law, completely in accordance with the rule 1379 01:20:54,000 --> 01:20:57,840 Speaker 1: of law. That's oh yeah, that's exactly what Stalin would 1380 01:20:57,840 --> 01:21:01,280 Speaker 1: have done. Oh, we have an election and I didn't win. 1381 01:21:01,439 --> 01:21:04,040 Speaker 1: So let's let's now go and see if the courts 1382 01:21:04,080 --> 01:21:06,560 Speaker 1: are going to agree that the election was rigged in 1383 01:21:06,720 --> 01:21:08,640 Speaker 1: some way with me. Yeah, or he just would have 1384 01:21:08,680 --> 01:21:10,760 Speaker 1: seized power and never even had an election. Right, this 1385 01:21:11,000 --> 01:21:15,160 Speaker 1: is so dumb. There's no intelligent argument being made here. 1386 01:21:15,800 --> 01:21:18,479 Speaker 1: This is there's nothing dictator like about this. They want 1387 01:21:18,479 --> 01:21:19,800 Speaker 1: to call him a cry baby. They want to say 1388 01:21:19,800 --> 01:21:22,960 Speaker 1: as a store loser. Fine, I mean that's politics. Say 1389 01:21:23,000 --> 01:21:27,040 Speaker 1: he's being a dictator. It's absurd. There's no basis for that. 1390 01:21:27,880 --> 01:21:31,719 Speaker 1: There's nothing he's doing that is in violation of norms, 1391 01:21:32,880 --> 01:21:35,080 Speaker 1: legal norms. Right, I'm not talking about what people would 1392 01:21:35,120 --> 01:21:37,400 Speaker 1: like or how they you know, the spirit of fair 1393 01:21:37,479 --> 01:21:39,280 Speaker 1: play or this other stuff they'd complain about that. No 1394 01:21:39,360 --> 01:21:43,680 Speaker 1: matter what, Obama's out there giving voice to all of 1395 01:21:43,720 --> 01:21:48,040 Speaker 1: this right now. Meanwhile, Ken Starr, who is a guy 1396 01:21:48,160 --> 01:21:51,920 Speaker 1: who knows quite quite a few things about recounts and 1397 01:21:52,120 --> 01:21:56,360 Speaker 1: votes and politics. Here he is on the irregularities we've 1398 01:21:56,400 --> 01:22:00,360 Speaker 1: seen play fourteen. Well, let's just take miss again the 1399 01:22:00,439 --> 01:22:02,599 Speaker 1: lawsuit that was filed, and again we have to let 1400 01:22:02,640 --> 01:22:06,880 Speaker 1: the lawsuit run its course. The lawsuit, if it is meritorious, 1401 01:22:07,080 --> 01:22:10,240 Speaker 1: that's the if we need to know, would change over 1402 01:22:10,439 --> 01:22:15,799 Speaker 1: one million votes in Georgia getto and of course Georgia 1403 01:22:15,880 --> 01:22:19,479 Speaker 1: itself has a state audit underway. That's exactly right. There 1404 01:22:19,479 --> 01:22:22,200 Speaker 1: will be a recount in Georgia if you take all 1405 01:22:22,280 --> 01:22:26,920 Speaker 1: these together. Pennsylvania allegations in Pennsylvania, these are allegations. What 1406 01:22:27,080 --> 01:22:30,840 Speaker 1: we do know is in Pennsylvania, as Justice Samuel Alito indicated, 1407 01:22:31,320 --> 01:22:36,880 Speaker 1: I'm going to embellishare utterly unconstitutional. And we've seen changes, 1408 01:22:37,000 --> 01:22:40,479 Speaker 1: including Gavin Newsom in California just condemned by a state 1409 01:22:40,600 --> 01:22:43,839 Speaker 1: court judge for doing what he did. This unprecedented flood 1410 01:22:44,280 --> 01:22:46,880 Speaker 1: of mail. In balance, all the more reason why in 1411 01:22:46,960 --> 01:22:51,320 Speaker 1: this election, we need to check. We need to check. 1412 01:22:53,080 --> 01:22:56,600 Speaker 1: That is the argument. There's nothing bad faith about it. 1413 01:22:56,680 --> 01:23:00,400 Speaker 1: There's nothing silly or absurd or we need you check. 1414 01:23:00,640 --> 01:23:04,280 Speaker 1: That's it. They can complain about this as much as 1415 01:23:04,280 --> 01:23:08,439 Speaker 1: they want. They can pretend that this is this is 1416 01:23:08,560 --> 01:23:11,280 Speaker 1: awful and it's practically North Korea, that that's just not 1417 01:23:12,520 --> 01:23:17,080 Speaker 1: that's just not intelligent, it's not not honest. We need 1418 01:23:17,160 --> 01:23:20,320 Speaker 1: to check. We are doing so. The Trump team has 1419 01:23:20,360 --> 01:23:23,439 Speaker 1: every right. Let's see where this goes. This fight is 1420 01:23:23,479 --> 01:23:27,280 Speaker 1: not over. The states have not certified, the Electoral College 1421 01:23:27,320 --> 01:23:32,360 Speaker 1: has not given its votes. We have time left. Let's 1422 01:23:32,400 --> 01:23:37,080 Speaker 1: see what they have. But remember this, the Democrats know 1423 01:23:37,240 --> 01:23:39,559 Speaker 1: that even more than just this election, which is a lot, 1424 01:23:39,720 --> 01:23:41,920 Speaker 1: but even more than just a presidential elections at stake 1425 01:23:42,040 --> 01:23:47,280 Speaker 1: right now, if there is fraud that has found and proven, 1426 01:23:47,800 --> 01:23:50,000 Speaker 1: and that a chord takes action on that changes even 1427 01:23:50,520 --> 01:23:53,599 Speaker 1: one state. Let's say it's not even enough, not even 1428 01:23:53,680 --> 01:23:56,519 Speaker 1: enough to flip this election, but it is intentional and 1429 01:23:56,600 --> 01:24:01,080 Speaker 1: it's real. That means that the next time around we 1430 01:24:01,200 --> 01:24:04,840 Speaker 1: will be on very solid ground. I don't think they'll 1431 01:24:04,880 --> 01:24:06,320 Speaker 1: be able to win the argument, at least in the 1432 01:24:06,360 --> 01:24:10,040 Speaker 1: court of public opinion that we should not have much 1433 01:24:10,160 --> 01:24:13,880 Speaker 1: more secure procedures in place for the next election to 1434 01:24:13,920 --> 01:24:17,400 Speaker 1: prevent something like this. Remember, it's not just this election, 1435 01:24:17,479 --> 01:24:20,719 Speaker 1: it's the whole concept of almost universal mail in balloting. 1436 01:24:21,760 --> 01:24:25,479 Speaker 1: It's not just this election, it's about the next one too. 1437 01:24:26,479 --> 01:24:31,000 Speaker 1: It's about the Democrat Party's reputation, perhaps if it's caught 1438 01:24:31,080 --> 01:24:34,800 Speaker 1: cheating this time around as the party of cheaters, which 1439 01:24:34,880 --> 01:24:37,920 Speaker 1: will be used by our side again the next time 1440 01:24:38,000 --> 01:24:40,120 Speaker 1: to say sorry, we're not just going to take it 1441 01:24:40,200 --> 01:24:45,240 Speaker 1: on your word. We're not going to allow ballot counting 1442 01:24:45,320 --> 01:24:49,160 Speaker 1: to occur without Republicans present, and we'll bring more legal 1443 01:24:49,280 --> 01:24:52,400 Speaker 1: challenges the next time. This has done the right way, 1444 01:24:53,600 --> 01:24:55,600 Speaker 1: it's done within the rule of law, or it's not 1445 01:24:55,720 --> 01:24:57,960 Speaker 1: done at all. That's the way we have to do 1446 01:24:58,080 --> 01:25:03,479 Speaker 1: all of this. That's the path way forward. So all 1447 01:25:03,560 --> 01:25:07,960 Speaker 1: let's all keep that in mind too. You're in the 1448 01:25:08,080 --> 01:25:11,440 Speaker 1: Freedom mind. This is the Buck Sex and Show podcast. 1449 01:25:15,120 --> 01:25:19,120 Speaker 1: There are lies about voter fraud all across social media 1450 01:25:19,240 --> 01:25:22,120 Speaker 1: these days. These lies would not be nearly as popular 1451 01:25:22,160 --> 01:25:25,320 Speaker 1: if there were no demand for it. These marches that 1452 01:25:25,439 --> 01:25:27,719 Speaker 1: Sarah Seidner was that yesterday, they would not be attracting 1453 01:25:27,800 --> 01:25:30,880 Speaker 1: thousands of people. If there was no demand for this 1454 01:25:31,080 --> 01:25:35,439 Speaker 1: parallel universe. It's the result of a poisonous stew of 1455 01:25:35,640 --> 01:25:40,960 Speaker 1: social alienation, negative partisanship, severe distrust of news sources. And 1456 01:25:41,040 --> 01:25:44,400 Speaker 1: I'm sure there are other factors as well. Look, the 1457 01:25:44,479 --> 01:25:46,600 Speaker 1: Trump supporters in my life, the people who voted for 1458 01:25:46,760 --> 01:25:50,040 Speaker 1: him two weeks ago, they don't believe the election was rigged. 1459 01:25:50,479 --> 01:25:54,280 Speaker 1: They're moving on. Most people are moving on. Most Trump 1460 01:25:54,400 --> 01:25:59,439 Speaker 1: voters do not buy all the bologna that's being sold 1461 01:25:59,760 --> 01:26:02,960 Speaker 1: by Rudy and by Trump and by these others. But 1462 01:26:03,120 --> 01:26:06,040 Speaker 1: some dow It's hard to know exactly how many. But 1463 01:26:06,120 --> 01:26:08,040 Speaker 1: I think we can confidently say, as I look at 1464 01:26:08,040 --> 01:26:11,439 Speaker 1: the ratings reports and web traffic reports, that millions of 1465 01:26:11,520 --> 01:26:16,960 Speaker 1: people are buying into this parallel universe. Well, first of all, 1466 01:26:17,080 --> 01:26:19,680 Speaker 1: let's understand, how do they trap supporters? Do you think 1467 01:26:19,760 --> 01:26:24,320 Speaker 1: bride Stealter really does? How Betty? I think it's very few, 1468 01:26:25,360 --> 01:26:29,080 Speaker 1: very few trap supporters that's bride sealter are actually death. 1469 01:26:30,240 --> 01:26:33,840 Speaker 1: Why can't they respond? Why can't Stelter media critic over 1470 01:26:33,880 --> 01:26:36,000 Speaker 1: at CNN whatever, whatever kind of job that is, right, 1471 01:26:36,280 --> 01:26:40,720 Speaker 1: media critic, You're in the media eor, media critic. Why 1472 01:26:40,880 --> 01:26:43,320 Speaker 1: is it that Stelter over at CNN can't deal with 1473 01:26:43,479 --> 01:26:46,719 Speaker 1: what Trump supporters, at least a lot of us are saying, 1474 01:26:46,800 --> 01:26:49,320 Speaker 1: which is you notice he says it's a lie about 1475 01:26:49,400 --> 01:26:52,240 Speaker 1: voter fraud. I've never lied about voter fraud on this show. 1476 01:26:52,840 --> 01:26:55,320 Speaker 1: I've talked about allegations that are out there that I 1477 01:26:55,400 --> 01:26:59,320 Speaker 1: want to investigated. But say, but repeating an allegation is 1478 01:26:59,360 --> 01:27:03,360 Speaker 1: not the same thing as a lie, especially on a situation, 1479 01:27:03,360 --> 01:27:06,439 Speaker 1: In a situation like this, where why is it so 1480 01:27:06,560 --> 01:27:08,840 Speaker 1: unthinkable that there would be voter fraud. There's voter fraud. 1481 01:27:08,880 --> 01:27:11,600 Speaker 1: It does happen. And this isn't a space you know, 1482 01:27:11,760 --> 01:27:14,960 Speaker 1: alien landing. This is something that actually goes on. I 1483 01:27:15,080 --> 01:27:17,000 Speaker 1: know some of you say, Buck, there are extraterrestrials, but 1484 01:27:17,080 --> 01:27:19,880 Speaker 1: that's a different show. So why are they saying lies? 1485 01:27:19,960 --> 01:27:24,880 Speaker 1: It's not there's no lies here. We're asking for answers. 1486 01:27:25,040 --> 01:27:28,639 Speaker 1: We want to know the truth. How do we get 1487 01:27:28,760 --> 01:27:32,559 Speaker 1: to the truth putting forward information, having attested in court, 1488 01:27:32,760 --> 01:27:36,000 Speaker 1: and letting the public see what's really going on. But 1489 01:27:36,160 --> 01:27:39,360 Speaker 1: over the weekend you had the Maga March happening in DC. 1490 01:27:39,520 --> 01:27:42,080 Speaker 1: I was sorry I couldn't be down there, but you 1491 01:27:42,200 --> 01:27:46,439 Speaker 1: saw these videos of all this extreme violence, and it's 1492 01:27:46,479 --> 01:27:50,439 Speaker 1: just all Trump supporters getting attacked. I'm not saying there's 1493 01:27:50,520 --> 01:27:52,719 Speaker 1: never violence from the right. I'm not saying there aren't 1494 01:27:52,760 --> 01:27:55,000 Speaker 1: people who are Trump supporters who sometimes want to get 1495 01:27:55,000 --> 01:27:57,960 Speaker 1: into a scrap. Of course there are. But there is 1496 01:27:58,479 --> 01:28:04,280 Speaker 1: a widespread acceptance and promotion of political violence that exists 1497 01:28:04,280 --> 01:28:07,760 Speaker 1: on the left that simply does not exist on the right. 1498 01:28:07,840 --> 01:28:11,640 Speaker 1: It just doesn't. There's no equivalency here. It's a false equivalency. 1499 01:28:12,760 --> 01:28:15,599 Speaker 1: That's why it's so amazing. Even after this weekend, when 1500 01:28:15,680 --> 01:28:18,960 Speaker 1: you have leftist attacking Trump supporters, You've got you know, 1501 01:28:19,000 --> 01:28:23,439 Speaker 1: the Queen of the Idiots, AOC out there saying that 1502 01:28:23,640 --> 01:28:27,720 Speaker 1: Trump is stoking the flames of violence. Play twenty four. 1503 01:28:28,520 --> 01:28:32,160 Speaker 1: To me, I already believe that President Trump is already 1504 01:28:32,240 --> 01:28:37,840 Speaker 1: stoking the flames of violence, as he has done for 1505 01:28:38,080 --> 01:28:41,640 Speaker 1: several years. You know, we saw, we saw even with 1506 01:28:41,800 --> 01:28:44,600 Speaker 1: the with the ballot counts that were happening in Philadelphia, 1507 01:28:44,840 --> 01:28:48,240 Speaker 1: his rhetoric and his attacks on our institutions and our 1508 01:28:48,320 --> 01:28:55,000 Speaker 1: systems inspired, very likely inspired a group of what seems 1509 01:28:55,040 --> 01:29:00,280 Speaker 1: like domestic terrorists to attempt to attack um where as 1510 01:29:00,280 --> 01:29:04,720 Speaker 1: were being counted in Philadelphia, where's this violence? They keep 1511 01:29:04,760 --> 01:29:08,040 Speaker 1: saying Trump is inspiring? Where where is this exactly? And 1512 01:29:08,240 --> 01:29:11,519 Speaker 1: Antifa has executed people for being Trump supporters. That happened 1513 01:29:11,520 --> 01:29:14,360 Speaker 1: out in Portland. Where where is this? Oh? They they're 1514 01:29:14,360 --> 01:29:16,639 Speaker 1: gonna point to that kid up in Kenosha who was attacked, 1515 01:29:16,640 --> 01:29:19,040 Speaker 1: including by a guy with a gun shot in self defense. 1516 01:29:19,160 --> 01:29:22,360 Speaker 1: That's not Trump violence. They could try to say it is, 1517 01:29:22,960 --> 01:29:26,800 Speaker 1: but they're full of it. Where is this massive violence? 1518 01:29:26,840 --> 01:29:30,160 Speaker 1: Because Antifa goes around punching people, harassing and menacing them 1519 01:29:30,200 --> 01:29:31,920 Speaker 1: in the streets of our nation's capital as they did 1520 01:29:31,960 --> 01:29:35,600 Speaker 1: this Wednesday, those are all Biden voters. Folks. Thanks for 1521 01:29:35,720 --> 01:29:39,400 Speaker 1: listening to the Bus Sesson Show podcasts. Remember to subscribe 1522 01:29:39,439 --> 01:29:42,920 Speaker 1: on Apple Podcasts, the iHeartRadio app, or wherever you get 1523 01:29:43,000 --> 01:29:55,639 Speaker 1: your podcasts. Liberty, Truth and Great Hair. Feel those funky beats. 1524 01:30:03,920 --> 01:30:07,400 Speaker 1: It's time for roll. Call Facebook dot com, Slash buck 1525 01:30:07,439 --> 01:30:11,360 Speaker 1: Sexton team buck at iHeartMedia dot com. If you want 1526 01:30:11,400 --> 01:30:14,640 Speaker 1: to email us and on Instagram buck Sexton, send us 1527 01:30:14,720 --> 01:30:18,080 Speaker 1: a message for the inbox, and make sure you go 1528 01:30:18,160 --> 01:30:20,800 Speaker 1: to buck Sexton dot com as well. Please check us 1529 01:30:20,840 --> 01:30:23,200 Speaker 1: out there. We've got stories posted hope and have a 1530 01:30:23,720 --> 01:30:26,240 Speaker 1: my latest editorial of the week up tomorrow. We're gonna 1531 01:30:26,240 --> 01:30:29,800 Speaker 1: try to shoot for Tuesdays. Maybe Tuesdays Wednesdays be our 1532 01:30:29,920 --> 01:30:33,360 Speaker 1: editorial day for That's that's right, me writing at editorial 1533 01:30:33,439 --> 01:30:37,040 Speaker 1: for buckseexon dot com every week, So please check it out. 1534 01:30:37,120 --> 01:30:40,960 Speaker 1: Site is new and improved, looks great, taste great, less filling. 1535 01:30:40,960 --> 01:30:43,000 Speaker 1: You remember that you're probably too young for that, producer, Mark, 1536 01:30:44,040 --> 01:30:46,519 Speaker 1: I know the reference Miller was a Miller Light or 1537 01:30:46,520 --> 01:30:49,280 Speaker 1: bud Light. I think bud light. It was bud Light. 1538 01:30:49,320 --> 01:30:51,360 Speaker 1: It's probably a bud light. Yeah, it tastes great. Let's filly. 1539 01:30:51,640 --> 01:30:55,360 Speaker 1: Do people still drink Budwiser the same way? Yes, I'd 1540 01:30:55,360 --> 01:30:58,040 Speaker 1: say it's the most commonly drunk beer in the in 1541 01:30:58,080 --> 01:31:00,080 Speaker 1: the world or in the country. I just feel like 1542 01:31:00,120 --> 01:31:02,720 Speaker 1: I saw and they must have stopped doing beer commercials, right, 1543 01:31:02,720 --> 01:31:04,600 Speaker 1: because you don't see. I mean, beer commercials used to 1544 01:31:04,600 --> 01:31:08,679 Speaker 1: be great. It was like people just all hanging out 1545 01:31:08,800 --> 01:31:11,040 Speaker 1: and you know, bathing suits at the beach and then 1546 01:31:11,120 --> 01:31:14,240 Speaker 1: all of a sudden, these Clydesdale horses running through snow 1547 01:31:14,280 --> 01:31:17,240 Speaker 1: out of nowhere, and it was, you know, it was like, yeah, 1548 01:31:17,479 --> 01:31:19,599 Speaker 1: beer commercials, man, I feel like I never see beer 1549 01:31:19,640 --> 01:31:22,360 Speaker 1: commercials anymore. They still do some pretty big Super Bowl 1550 01:31:22,400 --> 01:31:24,400 Speaker 1: ads and stuff like that. Yeah, yeah, you know what 1551 01:31:24,520 --> 01:31:26,240 Speaker 1: it is. Actually, I just realized I don't see commercials 1552 01:31:26,280 --> 01:31:28,479 Speaker 1: really because I don't watch normal TV exactly. You don't 1553 01:31:28,479 --> 01:31:31,280 Speaker 1: watch sports, and you don't watch That's it, tie. I 1554 01:31:31,320 --> 01:31:33,799 Speaker 1: don't watch TV anymore. I mean I watch like digital, 1555 01:31:34,320 --> 01:31:38,400 Speaker 1: non linear television almost exclusively. Now I'll have Fox in 1556 01:31:38,479 --> 01:31:42,080 Speaker 1: the background somewhat as a kind of a news ticker 1557 01:31:42,200 --> 01:31:45,800 Speaker 1: throughout the day. But even that, I mean, the stuff 1558 01:31:45,800 --> 01:31:47,360 Speaker 1: I have access to on the Internet is so much 1559 01:31:47,400 --> 01:31:49,800 Speaker 1: more timely and speedier than than what I got there. 1560 01:31:50,120 --> 01:31:55,439 Speaker 1: How is the producer Mark weekend? Quiet? RESTful? Chilling, just chilling, 1561 01:31:55,600 --> 01:31:58,920 Speaker 1: nothing really going on. You try any new shows or anything. No, 1562 01:32:00,800 --> 01:32:04,840 Speaker 1: I'm a boring person, but clearly I started watching I 1563 01:32:04,880 --> 01:32:07,719 Speaker 1: think of it as peaceful Producer Mark. I started watching 1564 01:32:08,280 --> 01:32:12,880 Speaker 1: a show on HBO called The Outsider. It's Stephen King, 1565 01:32:13,080 --> 01:32:15,479 Speaker 1: and I usually don't like this horror movie stuff for 1566 01:32:15,640 --> 01:32:19,719 Speaker 1: some reason, even though it's really disturbing and and very creepy, 1567 01:32:20,479 --> 01:32:23,040 Speaker 1: I keep watching it and we keep watching it, but 1568 01:32:23,160 --> 01:32:25,800 Speaker 1: it's it's traumatizing. Like you watch this, you're like, ohoh, 1569 01:32:25,920 --> 01:32:29,280 Speaker 1: this is creepy. UM. It's good, though I don't know 1570 01:32:29,360 --> 01:32:31,439 Speaker 1: it's well done. I'm kind of like, I think we're 1571 01:32:31,439 --> 01:32:33,479 Speaker 1: probably gonna finish the whole first season. We're about six 1572 01:32:33,520 --> 01:32:36,400 Speaker 1: seven episodes in UM, so I guess we watched it 1573 01:32:36,479 --> 01:32:38,880 Speaker 1: last weekend. This weekend, we watched two or three, you know, 1574 01:32:39,080 --> 01:32:41,400 Speaker 1: episodes over the course of the weekend each weekend, so 1575 01:32:41,520 --> 01:32:44,320 Speaker 1: that one's pretty good. I gotta finish Barbarian Bob Badden 1576 01:32:45,080 --> 01:32:48,439 Speaker 1: or whatever it's called, UM, which is this, uh, this 1577 01:32:48,640 --> 01:32:53,320 Speaker 1: show that you know, it's about barbarians and the Roman 1578 01:32:53,320 --> 01:32:57,000 Speaker 1: ancient Roman times. So there's that and uh yeah. Other 1579 01:32:57,080 --> 01:32:59,120 Speaker 1: than that, I just snow. Princess made me a tray 1580 01:32:59,360 --> 01:33:01,880 Speaker 1: of free So it turns out Rice Crispies are not 1581 01:33:01,960 --> 01:33:06,000 Speaker 1: technically gluten free. People don't know that Rice Crispies. They 1582 01:33:06,200 --> 01:33:09,960 Speaker 1: use a malt or sorry, a barley based sweetener for 1583 01:33:10,040 --> 01:33:12,519 Speaker 1: the rice krispies is the final ingreement ingredient and that 1584 01:33:12,640 --> 01:33:15,920 Speaker 1: does have gluten. So I can't even eat Rice Krispy treats, 1585 01:33:15,920 --> 01:33:17,680 Speaker 1: which is very annoying. But I can get gluten free 1586 01:33:17,760 --> 01:33:20,720 Speaker 1: Rice Krispy treat knockoffs, so we got those and she 1587 01:33:20,880 --> 01:33:23,439 Speaker 1: made me rice crispy treats. The problem is Producer Mark. 1588 01:33:23,560 --> 01:33:26,479 Speaker 1: She made them yesterday. I've basically only had them myself, 1589 01:33:26,840 --> 01:33:28,200 Speaker 1: and there was a big pan of them, and now 1590 01:33:28,280 --> 01:33:31,440 Speaker 1: half the pan has gone. I think that the boogeyman 1591 01:33:31,560 --> 01:33:34,240 Speaker 1: came and took some of them. I think it was you. 1592 01:33:34,800 --> 01:33:36,760 Speaker 1: I just feel I gotta come up with a I 1593 01:33:36,800 --> 01:33:38,320 Speaker 1: gotta come up with some kind of an excuse here, 1594 01:33:38,360 --> 01:33:44,360 Speaker 1: because I gotta yes to Lula, you little scoundrel. You 1595 01:33:44,520 --> 01:33:46,960 Speaker 1: got up on that counter. I know you did. She 1596 01:33:47,000 --> 01:33:49,800 Speaker 1: would probably love. She actually liked sweet things, which doesn't 1597 01:33:49,920 --> 01:33:52,280 Speaker 1: really surprise me. What It's always funny. Mean, sometimes I've 1598 01:33:52,280 --> 01:33:53,960 Speaker 1: tried to give her people food, Like I'll try to 1599 01:33:54,000 --> 01:33:55,920 Speaker 1: give her a bit of fish that I've cooked or something, 1600 01:33:55,960 --> 01:33:58,559 Speaker 1: and she just look at me like, eh no, I'm like, wow, 1601 01:33:59,080 --> 01:34:02,599 Speaker 1: doesn't like the cook does not like the cooking anyway. 1602 01:34:02,720 --> 01:34:05,760 Speaker 1: So for the way you are officially single, buck is gone? 1603 01:34:06,800 --> 01:34:12,000 Speaker 1: What you now started saying we about television shows? Oh yeah, yeah, yeah, 1604 01:34:12,040 --> 01:34:15,840 Speaker 1: it's O course, yeah yeah, you know it's um, it's good. 1605 01:34:15,840 --> 01:34:19,720 Speaker 1: I mean, I'm I'm embracing you know. I. I we 1606 01:34:19,840 --> 01:34:22,920 Speaker 1: have candles that that go a lot now and I 1607 01:34:23,040 --> 01:34:26,400 Speaker 1: keep the apartment cleaner. And you know, I like to 1608 01:34:26,479 --> 01:34:29,439 Speaker 1: cook and do some do some slow cooking on the weekends, 1609 01:34:29,479 --> 01:34:33,000 Speaker 1: to use the slow cooker and gosh, you know, play 1610 01:34:33,080 --> 01:34:35,240 Speaker 1: of easy listening music in the background. Maybe go to 1611 01:34:35,320 --> 01:34:36,960 Speaker 1: home depot. I don't know if we're gonna have enough time. 1612 01:34:37,040 --> 01:34:40,000 Speaker 1: You know, she coming to Thanksgiving too, because yeah Thanksgiving. 1613 01:34:40,120 --> 01:34:44,840 Speaker 1: Yeah yeah, she's coming with the fan of Thanksgiving. You're done, yep, alrighty, 1614 01:34:45,080 --> 01:34:48,559 Speaker 1: let's get into the roll call, Michael. If this recount 1615 01:34:48,640 --> 01:34:50,720 Speaker 1: goes Trump's a way, well, the Democrats don't want to 1616 01:34:50,800 --> 01:34:56,639 Speaker 1: heal our divide and come together. Um, Michael, the answer 1617 01:34:56,880 --> 01:35:01,400 Speaker 1: is most certainly no, Democrats will not want to heal 1618 01:35:01,479 --> 01:35:06,360 Speaker 1: the country. I am not really prone to overstatement about 1619 01:35:06,400 --> 01:35:08,880 Speaker 1: these things. If somehow Trump pulled off the win at 1620 01:35:08,920 --> 01:35:11,280 Speaker 1: this point, you would see mass riots in major American 1621 01:35:11,320 --> 01:35:15,200 Speaker 1: cities that would last for weeks. Producer Mark, with that 1622 01:35:15,280 --> 01:35:18,840 Speaker 1: even surprise. You imagine we wake up in three weeks 1623 01:35:19,640 --> 01:35:23,000 Speaker 1: and the news announcers are saying, it turns out that 1624 01:35:23,120 --> 01:35:25,920 Speaker 1: the judges and the YadA YadA, Trump actually won these 1625 01:35:25,960 --> 01:35:29,200 Speaker 1: three states, so he's now actually the president elect. Do 1626 01:35:29,240 --> 01:35:30,840 Speaker 1: you think things? Do you think that people are gonna 1627 01:35:30,840 --> 01:35:33,280 Speaker 1: go quietly over that one. I would lock myself down 1628 01:35:33,400 --> 01:35:36,559 Speaker 1: and not leave the house for months. Actly. It would 1629 01:35:36,640 --> 01:35:41,400 Speaker 1: be like the did you ever see the original Purge movie? Yes, yeah, 1630 01:35:41,439 --> 01:35:43,280 Speaker 1: it would be like that, Like you'd want to just 1631 01:35:43,360 --> 01:35:46,600 Speaker 1: stay home. You'd want to stay home, you would not 1632 01:35:46,680 --> 01:35:49,599 Speaker 1: want to go anywhere. So yeah, I do not think 1633 01:35:49,640 --> 01:35:52,280 Speaker 1: that they will accept it at all. I also think 1634 01:35:52,320 --> 01:35:56,519 Speaker 1: the odds of that happening are are pretty small. So 1635 01:35:56,840 --> 01:35:58,920 Speaker 1: and as I've been telling you all along, I think 1636 01:35:58,960 --> 01:36:00,840 Speaker 1: they're pretty small. I was not. Just to be clear, 1637 01:36:01,040 --> 01:36:04,519 Speaker 1: my election prediction was not off by very much. It 1638 01:36:04,680 --> 01:36:07,520 Speaker 1: was actually much better than pretty much all the posters 1639 01:36:08,320 --> 01:36:10,639 Speaker 1: I said. And this is a matter of record because 1640 01:36:10,640 --> 01:36:12,400 Speaker 1: I wrote this on Twitter two and I said on 1641 01:36:12,479 --> 01:36:16,240 Speaker 1: the show, I said Trump was gonna win Florida and Ohio, 1642 01:36:16,760 --> 01:36:20,640 Speaker 1: that Biden was gonna win Michigan, Wisconsin, and Minnesota. I 1643 01:36:20,720 --> 01:36:22,640 Speaker 1: did say Trump would win in Pennsylvania. That was the 1644 01:36:22,720 --> 01:36:24,000 Speaker 1: one that it looks like I got wrong. And I 1645 01:36:24,080 --> 01:36:27,120 Speaker 1: didn't realize he was gonna lose Georgia. But other than that, 1646 01:36:27,200 --> 01:36:28,360 Speaker 1: and I said it was going to be a very 1647 01:36:28,479 --> 01:36:32,439 Speaker 1: narrow Trump win. I think I predicted two hundred and 1648 01:36:32,840 --> 01:36:35,439 Speaker 1: seventy something votes to two hundred and sixty something votes 1649 01:36:35,439 --> 01:36:39,080 Speaker 1: for Biden. So now granted the electoral college victory for Biden, 1650 01:36:39,160 --> 01:36:41,320 Speaker 1: man d up being bigger than that. And that's all 1651 01:36:41,320 --> 01:36:43,519 Speaker 1: assuming that we don't get these reversals in the court. 1652 01:36:43,960 --> 01:36:46,200 Speaker 1: But I'm just saying I was way closer to reality 1653 01:36:46,280 --> 01:36:49,280 Speaker 1: than pretty much all the pollsters except for a Trafalgar 1654 01:36:49,960 --> 01:36:54,519 Speaker 1: Brad dear bucking Mark. The election isn't even finalized, and 1655 01:36:54,600 --> 01:36:58,120 Speaker 1: the crazy left is already making demands of Biden. I 1656 01:36:58,320 --> 01:37:01,200 Speaker 1: recently read news reports the co founder of the BLM 1657 01:37:01,280 --> 01:37:03,880 Speaker 1: movement wants a person will sit down with Biden to 1658 01:37:04,040 --> 01:37:07,000 Speaker 1: discuss their demands and expectations of the Biden administration for 1659 01:37:07,080 --> 01:37:09,679 Speaker 1: giving him the black vote. So now the black vote 1660 01:37:09,840 --> 01:37:13,000 Speaker 1: is a quid pro quo to the office of the presidency. 1661 01:37:13,479 --> 01:37:16,400 Speaker 1: Elizabeth Warren wants Biden to bypass the House and take 1662 01:37:16,479 --> 01:37:20,720 Speaker 1: executive actions concerning student debt, a minimum wage standards that 1663 01:37:20,720 --> 01:37:24,080 Speaker 1: would cost the American taxpayer billions, if not trillions. Where 1664 01:37:24,160 --> 01:37:27,080 Speaker 1: has this attitude or belief come from that says everything 1665 01:37:27,120 --> 01:37:30,040 Speaker 1: should be given freely, without work or sacrifice, and that 1666 01:37:30,120 --> 01:37:33,200 Speaker 1: everything should be fair. I'm very concerned about the effects 1667 01:37:33,240 --> 01:37:35,760 Speaker 1: the liberal agenda will have on our great country. I'm 1668 01:37:35,840 --> 01:37:38,439 Speaker 1: keeping my fingers crossed for Trump win, for a Trump win, 1669 01:37:38,520 --> 01:37:41,160 Speaker 1: but also trying to repair for the liberal onslaught called 1670 01:37:41,200 --> 01:37:43,560 Speaker 1: the Biden presidency. Thank you for all that you do, 1671 01:37:43,760 --> 01:37:50,519 Speaker 1: keep us unformed, shields high. Yeah, Brada, you know their 1672 01:37:50,600 --> 01:37:52,360 Speaker 1: executive orders where you're going to see a lot of 1673 01:37:52,400 --> 01:37:56,800 Speaker 1: the early Biden stuff come in again, assuming that we 1674 01:37:56,920 --> 01:38:02,280 Speaker 1: don't have these court reversals of the vote in Sylvania, Georgia, Michigan. 1675 01:38:03,280 --> 01:38:06,760 Speaker 1: So that's where you're going to see a lot of action. 1676 01:38:06,800 --> 01:38:08,280 Speaker 1: That's where're gonna see a lot of movement from the 1677 01:38:08,320 --> 01:38:10,960 Speaker 1: Biden team. And that's not the way it's supposed to be. 1678 01:38:11,439 --> 01:38:14,800 Speaker 1: The legislative branch. Congress is what's really supposed to be 1679 01:38:14,880 --> 01:38:19,560 Speaker 1: in charge of changing policies. But Democrats don't care. What 1680 01:38:19,680 --> 01:38:21,240 Speaker 1: they care about is getting their way and getting what 1681 01:38:21,280 --> 01:38:25,200 Speaker 1: they want, and so whatever is useful to that end, 1682 01:38:25,240 --> 01:38:29,200 Speaker 1: to that purpose is what they're going to support. And 1683 01:38:29,479 --> 01:38:34,960 Speaker 1: as for the fairness, this kind of fairness approach, the 1684 01:38:35,400 --> 01:38:39,080 Speaker 1: Biden fairness doctrine, Yeah, this is this is also very 1685 01:38:39,160 --> 01:38:42,679 Speaker 1: central to Marxist and socialist thought, which is that any 1686 01:38:43,040 --> 01:38:47,480 Speaker 1: imbalance in the end result that people enjoy in society 1687 01:38:48,080 --> 01:38:53,479 Speaker 1: must be the result of structural inequality. Inequity is the 1688 01:38:53,560 --> 01:38:56,360 Speaker 1: result of structural inequality that must be addressed to get 1689 01:38:56,439 --> 01:38:59,320 Speaker 1: rid of the inequity, and equity being the end result, 1690 01:38:59,400 --> 01:39:02,840 Speaker 1: equality being the treatment of people as the same through 1691 01:39:02,920 --> 01:39:07,120 Speaker 1: the through the process. They want to change that. They 1692 01:39:07,200 --> 01:39:09,000 Speaker 1: want to change that, and that gives them an endless 1693 01:39:09,000 --> 01:39:13,439 Speaker 1: amount of opportunities if they take that approach. For things like, Okay, 1694 01:39:13,600 --> 01:39:17,639 Speaker 1: we know that college educated, predominantly college educated whites, for example, 1695 01:39:17,720 --> 01:39:21,519 Speaker 1: will be helped um. You know, so a majority of 1696 01:39:21,520 --> 01:39:25,000 Speaker 1: the people that will be helped by a student loan 1697 01:39:25,120 --> 01:39:28,280 Speaker 1: forgive us up to fifty thousand dollars are college educated 1698 01:39:28,360 --> 01:39:32,559 Speaker 1: white liberals. That's the constituency they're going for there. Now 1699 01:39:32,600 --> 01:39:35,920 Speaker 1: they are already really have those as Democrats, but they 1700 01:39:36,040 --> 01:39:38,160 Speaker 1: it's a it's a huge giveaway to them, and it 1701 01:39:38,240 --> 01:39:43,360 Speaker 1: will perhaps mobilize even more help from from that constituency. 1702 01:39:43,479 --> 01:39:47,040 Speaker 1: And when you look at for example, when you look 1703 01:39:47,080 --> 01:39:53,840 Speaker 1: at college educated white women, that's a demographic. When they're married, 1704 01:39:53,920 --> 01:39:57,960 Speaker 1: they become Republicans generally, that's what happens. But when they're single, 1705 01:39:58,200 --> 01:40:01,240 Speaker 1: they're they're liberals, they're Democrats, and they want to make 1706 01:40:01,240 --> 01:40:06,080 Speaker 1: sure they sure that constituency up going forward. So that's 1707 01:40:06,120 --> 01:40:10,320 Speaker 1: why that giveaway is so important to Democrats, Sam Rights, 1708 01:40:10,360 --> 01:40:13,680 Speaker 1: how do how do I show a reasonable Democrat that 1709 01:40:13,920 --> 01:40:17,000 Speaker 1: mainstream media are not neutral entities but are in fact 1710 01:40:17,080 --> 01:40:19,759 Speaker 1: what you call the information arm of the Democrat Party. 1711 01:40:20,280 --> 01:40:22,800 Speaker 1: A family overseemed genuinely confused about where I was getting 1712 01:40:22,840 --> 01:40:26,200 Speaker 1: information to make me question the election results. When I 1713 01:40:26,280 --> 01:40:28,680 Speaker 1: pointed her a conservative news site, she said, but they 1714 01:40:28,720 --> 01:40:31,759 Speaker 1: are reporting crazy stuff. That's not true. I know because 1715 01:40:31,760 --> 01:40:34,400 Speaker 1: all the legitimate news sites say so, how do I 1716 01:40:34,520 --> 01:40:36,280 Speaker 1: show her that the New York Times and CNN are 1717 01:40:36,360 --> 01:40:38,240 Speaker 1: not the middle but are only slightly the right of 1718 01:40:38,320 --> 01:40:41,240 Speaker 1: Vox and the Huffington Post shields high. Well, Sam, there's 1719 01:40:41,280 --> 01:40:44,680 Speaker 1: not really one answer to this. It's it's a collective. 1720 01:40:45,640 --> 01:40:50,560 Speaker 1: It's a you know, over time, piece by piece conclusion 1721 01:40:50,640 --> 01:40:54,320 Speaker 1: that you come to and and so it build. It's 1722 01:40:54,360 --> 01:40:56,439 Speaker 1: cumulative is the word. I was looking for. A cumulative approach, 1723 01:40:56,520 --> 01:41:00,600 Speaker 1: not collective. And that's that's really why we know. But 1724 01:41:00,840 --> 01:41:03,000 Speaker 1: if you want one thing to do would just be, 1725 01:41:04,280 --> 01:41:06,280 Speaker 1: you know, have her, you know, you could sit with 1726 01:41:06,360 --> 01:41:11,160 Speaker 1: her and go through the Twitter feed of a prominent 1727 01:41:11,880 --> 01:41:15,720 Speaker 1: either CNN personality or CNN just the news site on 1728 01:41:15,800 --> 01:41:19,920 Speaker 1: Twitter CNN and go through it all and show that 1729 01:41:20,760 --> 01:41:25,200 Speaker 1: anybody who is being honest would see it's a Democrat aligned, 1730 01:41:25,439 --> 01:41:30,000 Speaker 1: left wing propaganda effort. That's what that is, what you 1731 01:41:30,120 --> 01:41:33,760 Speaker 1: are getting with something like that. I think all you 1732 01:41:33,800 --> 01:41:35,360 Speaker 1: have to do is scroll through the Twitter account and 1733 01:41:35,360 --> 01:41:38,160 Speaker 1: you'll see that. So that's one way to go if 1734 01:41:38,160 --> 01:41:40,920 Speaker 1: you're looking for an easy one. The other thing to 1735 01:41:40,960 --> 01:41:43,679 Speaker 1: do would just be set up side by side, show 1736 01:41:43,800 --> 01:41:48,400 Speaker 1: her how CNN dot Com covers an issue, and then 1737 01:41:48,439 --> 01:41:51,160 Speaker 1: show her how the Huffington Post what their's top stories are, 1738 01:41:52,160 --> 01:41:54,920 Speaker 1: and then show her like the BBC. Now the BBC 1739 01:41:55,080 --> 01:41:56,720 Speaker 1: is not conservative, it's not. But I just mean as 1740 01:41:56,760 --> 01:42:00,439 Speaker 1: a as a as a different news approach because I 1741 01:42:00,520 --> 01:42:06,400 Speaker 1: think it's clear how much opinion is infused now, even 1742 01:42:06,439 --> 01:42:09,840 Speaker 1: into the headlines and just everything about something like CNN. 1743 01:42:10,600 --> 01:42:13,960 Speaker 1: They don't even really try to hide it anymore. They're 1744 01:42:14,000 --> 01:42:18,960 Speaker 1: at a new level of Democrat propaganda. They've reached a 1745 01:42:19,000 --> 01:42:24,920 Speaker 1: whole new heights of that. You're in the freedom Hunt. 1746 01:42:25,360 --> 01:42:32,000 Speaker 1: This is the Buck Sexton Show podcast. More roll call 1747 01:42:32,080 --> 01:42:36,920 Speaker 1: to finish us out for the day, We've got Brian greetings, 1748 01:42:36,960 --> 01:42:39,120 Speaker 1: bucket Mark quick question, if a state does a recount 1749 01:42:39,160 --> 01:42:42,040 Speaker 1: between a Trump and between Trump and Biden, does that 1750 01:42:42,120 --> 01:42:46,240 Speaker 1: automatically trigger recount of downballot candidates as well? Just wondering 1751 01:42:46,240 --> 01:42:49,519 Speaker 1: if the recount and Georgia may inadvertently prevent a runoff race. 1752 01:42:50,960 --> 01:42:53,640 Speaker 1: I don't think so, Brian. I'd have to look. I mean, 1753 01:42:53,720 --> 01:42:56,120 Speaker 1: every state has different laws and results, but I think 1754 01:42:56,200 --> 01:43:00,840 Speaker 1: that Georgia Senate runoff situation and is going to play 1755 01:43:00,880 --> 01:43:03,880 Speaker 1: out as as anticipated right now. I don't foresee any 1756 01:43:04,000 --> 01:43:07,439 Speaker 1: change in that so, and I know Trump is already 1757 01:43:07,479 --> 01:43:12,480 Speaker 1: Trump is already very much upset with the ballot recount 1758 01:43:12,560 --> 01:43:15,599 Speaker 1: in Georgia. So let's see what other legal challenges are 1759 01:43:15,640 --> 01:43:19,200 Speaker 1: going to come up there. Jj a bucking producer, Mark 1760 01:43:19,320 --> 01:43:23,000 Speaker 1: everyone's complete lack of surprise. Not only are the Democrats 1761 01:43:23,080 --> 01:43:27,400 Speaker 1: canceling Thanksgiving, but they're also depressing the economy. I work 1762 01:43:27,439 --> 01:43:29,800 Speaker 1: in the hospitality industry, and while two weeks ago we 1763 01:43:29,880 --> 01:43:32,400 Speaker 1: were steadily recovering our business and looking to finally rehire 1764 01:43:32,479 --> 01:43:36,240 Speaker 1: some staff, we're drawing back up again. Praying President Trump's 1765 01:43:36,320 --> 01:43:38,640 Speaker 1: legal challenges bear fruit. Thanks for keeping us informed and 1766 01:43:38,760 --> 01:43:42,800 Speaker 1: courage and safe and warm at night. Well, JJ, you're 1767 01:43:42,840 --> 01:43:45,000 Speaker 1: welcome for that safety and warm thank you so much 1768 01:43:45,000 --> 01:43:49,719 Speaker 1: for listening to the show. And as for the depressing 1769 01:43:49,760 --> 01:43:53,760 Speaker 1: of the economy, yeah, this is a huge component of 1770 01:43:53,920 --> 01:43:58,920 Speaker 1: why these COVID lockdowns are so. Yes, costly in financial terms, 1771 01:43:58,960 --> 01:44:02,720 Speaker 1: but costly and human terms too. It's more than just 1772 01:44:02,840 --> 01:44:05,400 Speaker 1: the loss of a paycheck when someone loses a job. 1773 01:44:05,479 --> 01:44:09,639 Speaker 1: It's that it's that sense of purpose in the community. 1774 01:44:09,720 --> 01:44:13,720 Speaker 1: It's the respect of peers and family. It's it's that 1775 01:44:14,320 --> 01:44:19,200 Speaker 1: that desire to provide and meeting that challenge right, It's 1776 01:44:19,240 --> 01:44:24,240 Speaker 1: it's a lot for people, psychologically, emotionally, really challenging for them. 1777 01:44:25,400 --> 01:44:28,960 Speaker 1: So it is clearly depressing the economy, and in depressing 1778 01:44:29,000 --> 01:44:33,120 Speaker 1: an economy, you're actually depressing people too. You're making them depressed, 1779 01:44:34,000 --> 01:44:37,840 Speaker 1: and that has a tremendous downside for our society, for 1780 01:44:37,880 --> 01:44:40,639 Speaker 1: our country. And I don't think it's getting nearly enough 1781 01:44:40,640 --> 01:44:44,560 Speaker 1: attention in the mainstream press, not at all. Let me 1782 01:44:44,600 --> 01:44:46,880 Speaker 1: see here we go. Russ writes Buck. I'm confused. You 1783 01:44:46,960 --> 01:44:48,640 Speaker 1: continue to say don't bend the knee, then you say 1784 01:44:48,680 --> 01:44:50,360 Speaker 1: I wear a mask all the time. I realize there's 1785 01:44:50,360 --> 01:44:52,400 Speaker 1: a little bit of don't charge the machine gunness in that, 1786 01:44:52,439 --> 01:44:54,800 Speaker 1: But you're setting a bad example. When does civil disobedience 1787 01:44:54,840 --> 01:44:57,640 Speaker 1: become the plan? Well, Rush Russ, let me tell you 1788 01:44:57,680 --> 01:44:59,360 Speaker 1: what happens if if I go around not wearing a 1789 01:44:59,439 --> 01:45:04,000 Speaker 1: mask by myself, I am outvoted in New York and 1790 01:45:04,160 --> 01:45:08,120 Speaker 1: outnumbered at least about nine to eight to nine to one, 1791 01:45:08,920 --> 01:45:12,040 Speaker 1: and in Manhattan it's more like twenty or thirty to one. 1792 01:45:12,760 --> 01:45:15,920 Speaker 1: And so what happens is I start getting fined and 1793 01:45:16,200 --> 01:45:18,519 Speaker 1: then they'll move to have an eviction proceeding against me 1794 01:45:18,600 --> 01:45:22,840 Speaker 1: over time in my own building. And it's not a 1795 01:45:22,880 --> 01:45:24,920 Speaker 1: battle that I can win. So it is just charging 1796 01:45:24,920 --> 01:45:26,600 Speaker 1: the machine gun nests in New York City. There are 1797 01:45:26,640 --> 01:45:29,639 Speaker 1: other places in the country where there are enough people 1798 01:45:30,200 --> 01:45:34,160 Speaker 1: who are willing to join in a maskless movement. And 1799 01:45:34,280 --> 01:45:38,160 Speaker 1: remember I'm not anti mask all the time, you know, 1800 01:45:38,280 --> 01:45:40,400 Speaker 1: indoors with people who are at a higher risk, if 1801 01:45:40,400 --> 01:45:42,479 Speaker 1: it makes people feel more comfortable, I don't think that's 1802 01:45:42,520 --> 01:45:46,240 Speaker 1: as much of an imposition. I'm just adamantly against masking 1803 01:45:46,360 --> 01:45:50,320 Speaker 1: up outdoors and for very brief periods where you're walking 1804 01:45:50,439 --> 01:45:52,960 Speaker 1: through a restaurant, through a lobby. I mean, it's just absurd. 1805 01:45:54,240 --> 01:45:57,080 Speaker 1: I think that the science on masking is incomplete, and 1806 01:45:57,160 --> 01:46:01,320 Speaker 1: I think that the policies government policies around that are overreach. 1807 01:46:02,320 --> 01:46:05,240 Speaker 1: But you know, it's a little bit ross. Like if 1808 01:46:05,280 --> 01:46:07,519 Speaker 1: you ask me, Buck, you say the tax rates too 1809 01:46:07,640 --> 01:46:10,160 Speaker 1: high and that that's confiscatory. Why don't you just not 1810 01:46:10,320 --> 01:46:12,799 Speaker 1: pay your taxes? Well, because I'll just go to prison. 1811 01:46:13,240 --> 01:46:15,800 Speaker 1: That's not that's not building a movement to change the 1812 01:46:15,880 --> 01:46:19,439 Speaker 1: tax code. That's just me breaking you know, in New 1813 01:46:19,520 --> 01:46:22,160 Speaker 1: York it's stay law, my friend. Right now, so I 1814 01:46:22,240 --> 01:46:23,560 Speaker 1: would be breaking the law. I mean, you ask for 1815 01:46:23,600 --> 01:46:27,080 Speaker 1: civil disobedience. If there were other New Yorkers who I 1816 01:46:27,160 --> 01:46:28,800 Speaker 1: think would join me, that would be one thing. But 1817 01:46:28,880 --> 01:46:32,400 Speaker 1: otherwise you're just the one guy with you know, his 1818 01:46:32,520 --> 01:46:34,800 Speaker 1: fixed bayonet running up to the machine gun nest with 1819 01:46:34,920 --> 01:46:37,880 Speaker 1: the Germans already sighted in on you. And that's not good, 1820 01:46:38,560 --> 01:46:41,479 Speaker 1: no point in being cannon fodder, but a fair question. 1821 01:46:41,520 --> 01:46:44,639 Speaker 1: I appreciate you asking. All right, team, that's it for today. 1822 01:46:44,800 --> 01:46:47,200 Speaker 1: Please check out Buck Sexton dot com and pass the buck. 1823 01:46:47,280 --> 01:46:50,599 Speaker 1: Tell somebody about this podcast, The Bucks Exit Show, where 1824 01:46:50,600 --> 01:46:52,519 Speaker 1: every listening to podcasts shields high