1 00:00:00,440 --> 00:00:03,240 Speaker 1: This is Buck's first thoughts, the news you need to 2 00:00:03,240 --> 00:00:05,880 Speaker 1: get through your day in forty five minutes. Make sure 3 00:00:05,880 --> 00:00:08,520 Speaker 1: you subscribe on the iHeart app or wherever you get 4 00:00:08,560 --> 00:00:13,880 Speaker 1: your podcasts. I bring you good news from sunny Florida, 5 00:00:14,000 --> 00:00:16,919 Speaker 1: my friends, and some of you will obviously be able 6 00:00:16,960 --> 00:00:21,680 Speaker 1: to hear. I'm at Sepak, having a bit of a 7 00:00:21,720 --> 00:00:26,279 Speaker 1: reunion with so many of my freedom loving friends and colleagues. Here. 8 00:00:26,360 --> 00:00:30,600 Speaker 1: It's day one. It's relatively calm, but I know it's 9 00:00:30,640 --> 00:00:33,000 Speaker 1: going to fill up with thousands and thousands of folks. 10 00:00:34,120 --> 00:00:38,320 Speaker 1: Florida for a New Yorker right now is the closest 11 00:00:38,360 --> 00:00:40,720 Speaker 1: thing I think you can have as an American to 12 00:00:40,960 --> 00:00:46,000 Speaker 1: fleeing East Berlin for West Berlin circa nineteen sixty five. 13 00:00:47,080 --> 00:00:50,400 Speaker 1: You get down here and there's mask requirements. You get 14 00:00:50,400 --> 00:00:53,640 Speaker 1: down here and there are people who are taking precautions, 15 00:00:53,680 --> 00:00:58,920 Speaker 1: they're social distancing, but there's a difference in overall feeling 16 00:00:59,240 --> 00:01:04,080 Speaker 1: where you're going forward with your life. You're gonna you're 17 00:01:04,080 --> 00:01:07,240 Speaker 1: gonna keep operating your store, You're gonna keep showing up 18 00:01:07,280 --> 00:01:11,680 Speaker 1: for work. People are gonna keep moving forward, and it's 19 00:01:11,760 --> 00:01:15,959 Speaker 1: just such a difference. It's amazing feeling it all around. 20 00:01:16,000 --> 00:01:18,560 Speaker 1: You see it going on, and I gotta tell you, 21 00:01:18,600 --> 00:01:21,720 Speaker 1: I'm I feel like I worked for the Florida Tourism 22 00:01:21,800 --> 00:01:24,320 Speaker 1: Board every time I come down here. But Ronda Santists 23 00:01:24,360 --> 00:01:27,440 Speaker 1: deserves so much credit for this. Has done such an 24 00:01:27,440 --> 00:01:32,360 Speaker 1: excellent job and in the face of unbelievable pressure and criticism. 25 00:01:33,080 --> 00:01:36,120 Speaker 1: Let seepac. I'll have more stories for you tomorrow on 26 00:01:36,160 --> 00:01:38,600 Speaker 1: this one. Right now, it's just the very very beginnings 27 00:01:38,600 --> 00:01:43,080 Speaker 1: of it. President Trump, former President Trump, pardon me, will 28 00:01:43,160 --> 00:01:47,480 Speaker 1: be appearing here and talking about the future of the GOP. 29 00:01:47,680 --> 00:01:49,600 Speaker 1: So there's a lot that we'll have to discuss about this, 30 00:01:50,200 --> 00:01:56,760 Speaker 1: But I wanted to start with racism and fake racism 31 00:01:57,160 --> 00:02:01,360 Speaker 1: and how fake racism can ruin lives. Now. I went 32 00:02:01,400 --> 00:02:06,000 Speaker 1: to a college called Amherst. Amherst is in central Massachusetts. 33 00:02:06,520 --> 00:02:10,640 Speaker 1: I bring this up because it is very left wing, 34 00:02:11,400 --> 00:02:13,720 Speaker 1: but not as left wing as some of the other 35 00:02:13,800 --> 00:02:19,200 Speaker 1: schools in the neighborhood, notably Hampshire College, UMass Amherst, which 36 00:02:19,240 --> 00:02:21,480 Speaker 1: is an entirely different school for who doesn't know that's 37 00:02:21,480 --> 00:02:26,000 Speaker 1: a state school for the University of Massachusetts, and Smith College. 38 00:02:26,720 --> 00:02:29,280 Speaker 1: I know quite a bit about Smith College because I 39 00:02:29,360 --> 00:02:33,280 Speaker 1: had a girlfriend who was a Smith attendee, and I 40 00:02:33,320 --> 00:02:35,120 Speaker 1: can tell you that Smith is like living in an 41 00:02:35,160 --> 00:02:42,960 Speaker 1: alternate universe. Smith College in Northampton, Massachusetts is the most 42 00:02:43,240 --> 00:02:46,040 Speaker 1: far left place I think I've ever been in my life. 43 00:02:46,080 --> 00:02:47,959 Speaker 1: And that includes somebody. That's somebody who grew up in 44 00:02:48,000 --> 00:02:49,959 Speaker 1: New York City and has lived in Greenwich Village and 45 00:02:51,400 --> 00:02:54,480 Speaker 1: has lived in Washington, DC, which voted ninety four percent 46 00:02:54,680 --> 00:02:59,800 Speaker 1: for Joe Biden this last time around. Smith is all 47 00:03:00,040 --> 00:03:02,359 Speaker 1: the campus lunacy that we talk about. It's like it's 48 00:03:02,360 --> 00:03:06,480 Speaker 1: concentrated in one place, and it's the center now of 49 00:03:06,480 --> 00:03:12,760 Speaker 1: a national level story over race and class and wokeness. 50 00:03:13,960 --> 00:03:15,679 Speaker 1: And this reminds me very much of some of the 51 00:03:16,240 --> 00:03:19,000 Speaker 1: similar situations that happened while I was a student there. 52 00:03:19,040 --> 00:03:22,640 Speaker 1: Now going on twenty years ago, it's been quite a 53 00:03:22,639 --> 00:03:25,519 Speaker 1: while since I was at Amur's College at a little 54 00:03:25,840 --> 00:03:29,240 Speaker 1: stint at the CIA popped into a rock and Afghanistan 55 00:03:29,360 --> 00:03:33,399 Speaker 1: started a media career. Thank you Glenn Beck and Rush Limbaugh, 56 00:03:33,639 --> 00:03:37,920 Speaker 1: and now here I am. But I remember what it 57 00:03:37,960 --> 00:03:39,800 Speaker 1: was like at Smith back in the day. I remember 58 00:03:40,560 --> 00:03:44,760 Speaker 1: how ideologically driven so many people were, and it was 59 00:03:44,840 --> 00:03:49,760 Speaker 1: really the totalitarianism of wokeness that we're experiencing every day 60 00:03:50,760 --> 00:03:55,160 Speaker 1: that was only in places like Smith twenty years ago, 61 00:03:55,320 --> 00:03:57,720 Speaker 1: to the extent that you're seeing it now, where it 62 00:03:57,760 --> 00:03:59,960 Speaker 1: doesn't matter what the facts are. It doesn't actually matter 63 00:04:00,000 --> 00:04:03,119 Speaker 1: matter what the truth of any situation may be. What 64 00:04:03,200 --> 00:04:06,800 Speaker 1: matters is does this help the cause? It is very 65 00:04:06,840 --> 00:04:10,200 Speaker 1: Soviet in a sense. I mentioned before what it's like 66 00:04:10,320 --> 00:04:13,040 Speaker 1: to travel from East to West Berlin or the closest 67 00:04:13,080 --> 00:04:15,800 Speaker 1: thing to it for an American today, and that is 68 00:04:15,880 --> 00:04:20,240 Speaker 1: going from a lockdown, a core lockdown place like New 69 00:04:20,320 --> 00:04:24,880 Speaker 1: York City and finding yourself in Florida. I'm an Orlando 70 00:04:24,920 --> 00:04:28,000 Speaker 1: obviously for seedpac But the Soviet Union was a place 71 00:04:28,040 --> 00:04:32,720 Speaker 1: where the truth didn't matter, the facts didn't matter. There 72 00:04:32,880 --> 00:04:37,520 Speaker 1: was the storyline that the people in power demanded, and 73 00:04:37,560 --> 00:04:41,120 Speaker 1: if you deviated from it, you well, in that case, 74 00:04:41,160 --> 00:04:43,800 Speaker 1: of course, could be sent to the Gulag, you could 75 00:04:43,839 --> 00:04:45,960 Speaker 1: be executed. I mean, it was worse than it is here. 76 00:04:45,960 --> 00:04:49,239 Speaker 1: I'm not saying it's the same, but the mentality is similar. 77 00:04:50,200 --> 00:04:52,880 Speaker 1: And the erosion of freedom that we've had, really the 78 00:04:53,240 --> 00:04:56,000 Speaker 1: threat to freedom, the damage to freedom that has occurred 79 00:04:56,880 --> 00:04:59,839 Speaker 1: in the last year in America is unlike anything else 80 00:04:59,839 --> 00:05:02,560 Speaker 1: we You've ever experienced. So I do think it's legitimate. 81 00:05:02,600 --> 00:05:05,320 Speaker 1: I do think it's fair for us to sit around 82 00:05:05,400 --> 00:05:09,040 Speaker 1: and say, hold on a second, how much more of 83 00:05:09,080 --> 00:05:14,880 Speaker 1: this can we take before we are crossing that rubicon? 84 00:05:15,040 --> 00:05:17,120 Speaker 1: And have we already crossed it? In somebodys, aren't we 85 00:05:17,160 --> 00:05:22,880 Speaker 1: on a glide path now toward a near totalitarian state? 86 00:05:24,080 --> 00:05:26,400 Speaker 1: I know it's a scary thought, and you could say, oh, 87 00:05:26,560 --> 00:05:29,440 Speaker 1: that's We're still a country with rule of law, and 88 00:05:29,440 --> 00:05:32,120 Speaker 1: we're still a country where things, you know, you still 89 00:05:32,120 --> 00:05:35,000 Speaker 1: have constitutional protection. How long are you going to have 90 00:05:35,080 --> 00:05:38,400 Speaker 1: that for? Do we really think that that just injuries? 91 00:05:38,480 --> 00:05:41,360 Speaker 1: You really think that continues no matter who's in charge, 92 00:05:41,400 --> 00:05:44,039 Speaker 1: who's in power. In fact, if you look at the 93 00:05:44,080 --> 00:05:48,640 Speaker 1: totalitarianisms of the twentieth century, they arose out of periods 94 00:05:48,640 --> 00:05:53,800 Speaker 1: of liberal reform. They arose from democracies. People didn't expect 95 00:05:53,800 --> 00:05:55,479 Speaker 1: it to happen in the Soviet n They didn't expect 96 00:05:55,480 --> 00:05:57,920 Speaker 1: it to happen in Nazi Germany, or rather they didn't 97 00:05:57,960 --> 00:06:02,440 Speaker 1: know what was going to happen. Think of the Soviet Revolution, 98 00:06:02,520 --> 00:06:05,160 Speaker 1: people do they don't study it in school. I mean, 99 00:06:05,160 --> 00:06:08,560 Speaker 1: I really believe that, you know, academics want Americans to 100 00:06:08,600 --> 00:06:12,200 Speaker 1: be ignorant of socialism and the history of socialism throughout 101 00:06:12,200 --> 00:06:15,240 Speaker 1: the twentieth century, obviously starting with Karl Marx went well 102 00:06:15,279 --> 00:06:19,159 Speaker 1: before them, but then into the twentieth century totalitarianisms, because 103 00:06:19,160 --> 00:06:21,960 Speaker 1: if you know about these things, you're terrified of them 104 00:06:22,000 --> 00:06:23,840 Speaker 1: and you want to fight them with everything you've got. 105 00:06:25,080 --> 00:06:29,160 Speaker 1: If you understand what it is from history to live 106 00:06:29,200 --> 00:06:32,839 Speaker 1: in a society where the truth does not matter, then 107 00:06:32,920 --> 00:06:35,760 Speaker 1: you understand how much you have to fight to prevent 108 00:06:35,880 --> 00:06:39,600 Speaker 1: us from descending into that. And that then brings me 109 00:06:39,640 --> 00:06:46,160 Speaker 1: to the Soviet style absurdity of what happened at Smith College. 110 00:06:46,760 --> 00:06:50,360 Speaker 1: Now I know this place well. I can tell you 111 00:06:50,400 --> 00:06:54,480 Speaker 1: that there are there are dorms there, there are dormitories 112 00:06:54,520 --> 00:06:59,960 Speaker 1: that are segregated by sexual preference and by or sexual 113 00:07:00,080 --> 00:07:03,080 Speaker 1: orientation or whatever we're supposed to say. Now to the 114 00:07:03,120 --> 00:07:06,799 Speaker 1: point where you'd think, well that that can't be that complicated, 115 00:07:06,800 --> 00:07:10,400 Speaker 1: well it actually does get very complicated very quickly, because 116 00:07:10,560 --> 00:07:12,840 Speaker 1: there are a lot of different preferences and a lot 117 00:07:12,880 --> 00:07:16,080 Speaker 1: of different self identifications that go into it. I could 118 00:07:16,120 --> 00:07:19,960 Speaker 1: not even begin to tell you how many different sexual 119 00:07:20,560 --> 00:07:25,640 Speaker 1: orientations are represented on the Smith College campus. I'm being serious. 120 00:07:25,720 --> 00:07:28,720 Speaker 1: I have absolutely no idea because there are so many 121 00:07:28,560 --> 00:07:32,200 Speaker 1: and they're constantly changing, right there are new ones that 122 00:07:32,280 --> 00:07:33,760 Speaker 1: come up, and you're not allowed to you're not allowed 123 00:07:33,800 --> 00:07:36,200 Speaker 1: to say, hold on a second, is that is that good? 124 00:07:36,320 --> 00:07:38,320 Speaker 1: Is that healthy? Is that moral? You can't ask any 125 00:07:38,360 --> 00:07:41,080 Speaker 1: of those questions. If you do, you're a bigot. You're 126 00:07:41,120 --> 00:07:44,880 Speaker 1: a bigot. You see, the the wokeness has been weaponized 127 00:07:44,880 --> 00:07:49,000 Speaker 1: in our society. That's what you're experiencing now. The terms 128 00:07:49,040 --> 00:07:52,560 Speaker 1: that they've been building up over many years, the frameworks 129 00:07:52,640 --> 00:07:59,880 Speaker 1: for assaulting people verbally, professionally destroying their lives. They've gotten strong, 130 00:08:00,080 --> 00:08:03,760 Speaker 1: they've gotten more potent, and now they feel flush with power. 131 00:08:03,840 --> 00:08:05,840 Speaker 1: Now they feel like they can get away with whatever 132 00:08:06,200 --> 00:08:10,040 Speaker 1: they have to, whatever they need to. And we're experiencing 133 00:08:10,040 --> 00:08:14,360 Speaker 1: that right now, and we don't have a particularly powerful 134 00:08:15,320 --> 00:08:17,880 Speaker 1: counter voice. We don't have somebody who can step up 135 00:08:17,880 --> 00:08:21,480 Speaker 1: and say enough. It feels like there's a void on 136 00:08:21,480 --> 00:08:26,800 Speaker 1: our side. And yes, that is certainly a large part 137 00:08:26,800 --> 00:08:29,400 Speaker 1: of it is the absence of Rush Limbaugh right now. 138 00:08:30,280 --> 00:08:32,760 Speaker 1: So I understand the concerns that people have. I understand 139 00:08:32,760 --> 00:08:36,080 Speaker 1: the feeling that we seem like we can't win this fight, 140 00:08:36,679 --> 00:08:40,960 Speaker 1: but we can we will. First, though, we have to 141 00:08:41,040 --> 00:08:43,040 Speaker 1: establish what it is that's going on, and that brings 142 00:08:43,040 --> 00:08:47,600 Speaker 1: you back to Smith College, specifically. Inside this is the 143 00:08:47,640 --> 00:08:50,920 Speaker 1: New York Times piece Inside a battle over race, class 144 00:08:50,960 --> 00:08:54,240 Speaker 1: and power at Smith, a student said she was racially 145 00:08:54,280 --> 00:08:58,640 Speaker 1: profiled while eating in a college dorm. An investigation found 146 00:08:58,880 --> 00:09:02,000 Speaker 1: no evidence of buy but the evidence, but the incident 147 00:09:02,000 --> 00:09:05,880 Speaker 1: will not fade away. That headline gives you a pretty 148 00:09:05,920 --> 00:09:11,160 Speaker 1: good overview of what happened at Smith College. But here's 149 00:09:11,160 --> 00:09:15,240 Speaker 1: a shorter, better version of it. A black female student 150 00:09:15,280 --> 00:09:20,040 Speaker 1: at Smith claimed there was racism when there was no racism, 151 00:09:20,160 --> 00:09:22,920 Speaker 1: even went so far as to lie about who was 152 00:09:22,960 --> 00:09:28,560 Speaker 1: even involved in the alleged incident. Ruined lives, got people threatened, 153 00:09:29,040 --> 00:09:37,040 Speaker 1: people's people's livelihoods destroyed, and there was absolutely absolutely no 154 00:09:37,880 --> 00:09:41,679 Speaker 1: consequences or punishment for her whatsoever. The only people who 155 00:09:41,760 --> 00:09:46,960 Speaker 1: suffered were the innocent. The only people who had any 156 00:09:47,040 --> 00:09:50,720 Speaker 1: downside in this whole situation were those who did nothing wrong, 157 00:09:51,120 --> 00:09:57,040 Speaker 1: including thirty plus year employees of this college. Overrun by 158 00:09:57,120 --> 00:10:01,920 Speaker 1: psycho libs, completely destroyed by I wokeness. And it's really 159 00:10:02,120 --> 00:10:06,080 Speaker 1: a perfect example of what the modern American college campus is. 160 00:10:06,880 --> 00:10:08,720 Speaker 1: And I want you all to think about this before 161 00:10:08,800 --> 00:10:11,679 Speaker 1: you get to the point where you're going to send 162 00:10:11,679 --> 00:10:16,120 Speaker 1: your child, send your son, your daughter to a now 163 00:10:16,360 --> 00:10:19,600 Speaker 1: seventy thousand dollars a year boondoggle at a place like Smith, 164 00:10:19,760 --> 00:10:24,600 Speaker 1: it is an unseerious place ethically, intellectually, the same thing 165 00:10:24,640 --> 00:10:26,640 Speaker 1: as true of Amer's College, where I went, by the way, 166 00:10:26,760 --> 00:10:31,880 Speaker 1: un serious places hard to get into academically for some people, 167 00:10:32,400 --> 00:10:35,200 Speaker 1: not as hard for others. That's a whole other conversation. 168 00:10:35,600 --> 00:10:37,560 Speaker 1: In fact, not hard at all, depending on who you are. 169 00:10:38,320 --> 00:10:42,199 Speaker 1: But how did a completely innocent person get destroyed at 170 00:10:42,240 --> 00:10:46,080 Speaker 1: Smith College? How did fake racism ruin lives? Well, that's 171 00:10:46,080 --> 00:10:49,840 Speaker 1: the story we have to tell now. This is the 172 00:10:49,960 --> 00:10:55,360 Speaker 1: Buck Sexton Show podcast. Follow Buck on Facebook, Instagram, and Twitter. 173 00:10:56,280 --> 00:10:58,959 Speaker 1: Here's the tale from the New York Times story by 174 00:10:59,000 --> 00:11:04,839 Speaker 1: Michael Powell in the Midsummer of twenty eighteen, Umu Kanuete, 175 00:11:05,920 --> 00:11:11,400 Speaker 1: a black student at Smith College, recounted a distressing American tale. 176 00:11:12,000 --> 00:11:14,160 Speaker 1: She was eating lunch and a dorm lounge when a 177 00:11:14,280 --> 00:11:17,000 Speaker 1: janitor and a campus police officer walked over and asked 178 00:11:17,000 --> 00:11:20,160 Speaker 1: her what she was doing there. The officer, who could 179 00:11:20,200 --> 00:11:24,280 Speaker 1: have been carrying a lethal weapon, left her near meltdown. 180 00:11:24,320 --> 00:11:27,920 Speaker 1: These are quotes from a Miss Kannote wrote on her 181 00:11:27,920 --> 00:11:32,160 Speaker 1: Facebook saying this encounter continued a year long pattern of 182 00:11:32,360 --> 00:11:37,600 Speaker 1: harassment at Smith. All I did was b black. Kanoete wrote, 183 00:11:38,480 --> 00:11:41,319 Speaker 1: It's outrageous that some people question my being at Smith 184 00:11:41,360 --> 00:11:45,400 Speaker 1: College and my existence overall as a woman of color. 185 00:11:46,320 --> 00:11:50,520 Speaker 1: The college's president, Kathleen McCartney, offered profuse apologies and put 186 00:11:50,559 --> 00:11:54,760 Speaker 1: the janitor on paid leave. This painful incident reminds us 187 00:11:54,760 --> 00:11:58,000 Speaker 1: of the ongoing legacy of racism and bias, the president wrote, 188 00:11:58,440 --> 00:12:01,360 Speaker 1: in which people of color are targeted while simply going 189 00:12:01,400 --> 00:12:06,040 Speaker 1: about the business of their ordinary lives. The New York Times, 190 00:12:06,040 --> 00:12:09,160 Speaker 1: the Washington Post, and CNN picked up the story of 191 00:12:09,200 --> 00:12:13,640 Speaker 1: a young black female student harassed by white workers the 192 00:12:13,679 --> 00:12:16,240 Speaker 1: American Civil Liberties Union, which took the student's case that 193 00:12:16,360 --> 00:12:21,640 Speaker 1: she was profiled for quote eating while black. Less attention 194 00:12:21,720 --> 00:12:23,880 Speaker 1: was paid three months later, when a law firm hired 195 00:12:23,920 --> 00:12:27,960 Speaker 1: by Smith College to investigate the episode found no persuasive 196 00:12:27,960 --> 00:12:31,760 Speaker 1: evidence of bias. Miss Kounawetday was determined to have eaten 197 00:12:31,800 --> 00:12:35,080 Speaker 1: in a deserted dorm that had been closed for the summer. 198 00:12:35,800 --> 00:12:39,320 Speaker 1: The janitor had been encouraged to notify this security on 199 00:12:39,360 --> 00:12:43,120 Speaker 1: campus if he saw unauthorized people there, and the officer, 200 00:12:43,240 --> 00:12:48,760 Speaker 1: like all campus police, was unarmed. The whole thing was 201 00:12:48,800 --> 00:12:52,560 Speaker 1: a lie. Very important that you know this right away. 202 00:12:52,600 --> 00:12:55,679 Speaker 1: The whole thing was a lie. There was no profiling, 203 00:12:55,760 --> 00:12:59,480 Speaker 1: there was no racism. And it gets worse actually than this. 204 00:12:59,600 --> 00:13:04,120 Speaker 1: It's even worse than you think. Smith College officials were 205 00:13:04,120 --> 00:13:07,480 Speaker 1: emphasizing reconciliation and healing after the incident, The New York 206 00:13:07,520 --> 00:13:10,280 Speaker 1: Times rights. In the months to come, they announced a 207 00:13:10,360 --> 00:13:14,000 Speaker 1: raft of anti bias training for all staff, a revamped 208 00:13:14,040 --> 00:13:17,160 Speaker 1: and more sensitive campus police force, and the creation of 209 00:13:17,200 --> 00:13:21,480 Speaker 1: dormitories set aside for black students and other students of color, 210 00:13:21,559 --> 00:13:25,400 Speaker 1: and quote, that's a that's a thing that continues to 211 00:13:25,440 --> 00:13:29,719 Speaker 1: happen on these campuses. There are dorms that are segregated 212 00:13:30,640 --> 00:13:34,319 Speaker 1: at the request of, at the demand of minority students, 213 00:13:36,000 --> 00:13:38,640 Speaker 1: and in some cases at my college, at Amherst College, 214 00:13:38,640 --> 00:13:40,559 Speaker 1: which is right down the road from Smith, and they 215 00:13:40,600 --> 00:13:42,920 Speaker 1: you can take all classes at one, you can take 216 00:13:42,960 --> 00:13:44,680 Speaker 1: all the classes from one when you're at the other. 217 00:13:44,960 --> 00:13:47,040 Speaker 1: So there is a lot a crossover at these schools. 218 00:13:47,320 --> 00:13:51,040 Speaker 1: And Smith is an all women's college, although I'm being serious, 219 00:13:51,040 --> 00:13:55,040 Speaker 1: I don't know how they describe that now, because there 220 00:13:55,040 --> 00:13:57,640 Speaker 1: are gender fluid people who attend Smith who are not 221 00:13:57,760 --> 00:14:02,000 Speaker 1: biological females. So they eliminated gender from the student constitution. 222 00:14:02,000 --> 00:14:04,600 Speaker 1: I'm serious. So I didn't even know it's all women, 223 00:14:04,720 --> 00:14:07,679 Speaker 1: except it's not all women. That's the best way I 224 00:14:07,679 --> 00:14:11,160 Speaker 1: could put it to you. And that's just a biological fact. 225 00:14:12,160 --> 00:14:16,600 Speaker 1: So this situation of this story reminds me of so 226 00:14:16,640 --> 00:14:19,000 Speaker 1: many things that I saw going on when I was 227 00:14:19,040 --> 00:14:24,320 Speaker 1: on campus. And it's not surprising at all that this 228 00:14:24,400 --> 00:14:28,680 Speaker 1: is how the administrators, the cowardly administrators, acted about all 229 00:14:28,680 --> 00:14:33,520 Speaker 1: of this. Because here's part of the problem. Not only 230 00:14:33,560 --> 00:14:38,800 Speaker 1: was there no bias, This student, miss Kannowete, wrote on 231 00:14:38,800 --> 00:14:41,960 Speaker 1: her Facebook page and put a photo up. She docks 232 00:14:43,160 --> 00:14:47,600 Speaker 1: a worker whom she thought, I mean, you really at 233 00:14:47,600 --> 00:14:49,640 Speaker 1: again in the details of the story, she thought was 234 00:14:49,680 --> 00:14:53,280 Speaker 1: the person who called the police or campus police, and 235 00:14:53,400 --> 00:14:57,760 Speaker 1: she was wrong. She docks the wrong person. She thought 236 00:14:57,800 --> 00:15:01,520 Speaker 1: a cafeteria worker was the one who said that she 237 00:15:01,720 --> 00:15:04,120 Speaker 1: you know, who called security on her. So let's go 238 00:15:04,160 --> 00:15:06,680 Speaker 1: down the list here. Remember this is a big national story, 239 00:15:07,240 --> 00:15:11,280 Speaker 1: and the list is there was no bias found in 240 00:15:11,320 --> 00:15:15,240 Speaker 1: the incident whatsoever. This woman, missus Knoete, was eating in 241 00:15:15,280 --> 00:15:17,640 Speaker 1: a dorm that was closed for the summer. She should 242 00:15:17,680 --> 00:15:20,720 Speaker 1: not have been there, She was not allowed to be 243 00:15:20,800 --> 00:15:22,920 Speaker 1: there under the rules of the college. She just decided 244 00:15:23,000 --> 00:15:25,720 Speaker 1: she was gonna open it for herself and lounge out 245 00:15:25,720 --> 00:15:28,280 Speaker 1: and hang out and do the whole thing. Right. She 246 00:15:28,400 --> 00:15:30,840 Speaker 1: was laying out over over some benches or couches or 247 00:15:30,840 --> 00:15:34,600 Speaker 1: something and in a dark room, in a dark I 248 00:15:34,600 --> 00:15:38,960 Speaker 1: think it actually is a lounge room, and a custodian, 249 00:15:39,080 --> 00:15:43,280 Speaker 1: a janitor saw her and did exactly what he was 250 00:15:43,320 --> 00:15:45,960 Speaker 1: supposed to do, which they said, call security, And so 251 00:15:46,200 --> 00:15:49,640 Speaker 1: unarmed security showed up and said, hey, you know, what 252 00:15:49,680 --> 00:15:51,960 Speaker 1: are you supposed to What are you doing here? And 253 00:15:52,040 --> 00:15:55,040 Speaker 1: she wasn't supposed to be there, and security had a 254 00:15:55,160 --> 00:15:57,000 Speaker 1: nice polite conversation or they said, hey, can you go 255 00:15:57,040 --> 00:15:58,840 Speaker 1: to one of the other dorms. This dorm is closed. 256 00:15:59,440 --> 00:16:03,800 Speaker 1: I mean, this is the equivalent of you know, somebody 257 00:16:04,240 --> 00:16:07,480 Speaker 1: like at a at a stadium or something. You know, 258 00:16:07,520 --> 00:16:09,440 Speaker 1: if one of the security guys comes up to you says, oh, 259 00:16:09,480 --> 00:16:11,600 Speaker 1: you know, you're actually in twenty four A and need 260 00:16:11,640 --> 00:16:13,720 Speaker 1: to be at twenty four C. Could you move over, 261 00:16:13,720 --> 00:16:15,600 Speaker 1: because here are some other You know, this is a 262 00:16:15,720 --> 00:16:18,760 Speaker 1: nothing burger event. This is nothing. But here's what you 263 00:16:18,800 --> 00:16:22,520 Speaker 1: have to know. This black female student at Smith College 264 00:16:22,720 --> 00:16:26,720 Speaker 1: is knute. She knows the rules of the game now, 265 00:16:27,400 --> 00:16:30,600 Speaker 1: and she knows, Ah, I don't like this. I might 266 00:16:30,600 --> 00:16:33,000 Speaker 1: have been embarrassed for a moment by this for whatever reason, 267 00:16:33,040 --> 00:16:35,240 Speaker 1: because I wasn't supposed to be there. But the rules 268 00:16:35,280 --> 00:16:38,640 Speaker 1: don't really apply to me because I'm oppressed. I'm special, 269 00:16:38,800 --> 00:16:41,440 Speaker 1: you see, and I have a lot of power as 270 00:16:41,480 --> 00:16:44,480 Speaker 1: long as I play the right card. And so she did. 271 00:16:45,840 --> 00:16:48,760 Speaker 1: She said that she was terrified because the officer might 272 00:16:48,800 --> 00:16:52,000 Speaker 1: have had a weapon, but all campus officers are unarmed 273 00:16:52,000 --> 00:16:55,320 Speaker 1: at Smith, and she would know that she's a student there, 274 00:16:55,960 --> 00:16:58,440 Speaker 1: and she could also see when somebody has a gun 275 00:16:58,440 --> 00:17:01,760 Speaker 1: as a police officer, you know, oh you can see 276 00:17:01,800 --> 00:17:04,600 Speaker 1: it on them. There was no weapon. This was just 277 00:17:04,640 --> 00:17:07,480 Speaker 1: somebody who walked up. It was a security guard. Basically, 278 00:17:07,520 --> 00:17:10,840 Speaker 1: he said, hey, this dorm is closed. She went on 279 00:17:10,880 --> 00:17:15,600 Speaker 1: a rampage online and she decided that she was going 280 00:17:15,680 --> 00:17:20,119 Speaker 1: to get even the Smith College president who makes half 281 00:17:20,320 --> 00:17:24,199 Speaker 1: a million dollars a year in salary five hundred k 282 00:17:24,320 --> 00:17:27,720 Speaker 1: plus folks, and also all kinds of benefits and basically 283 00:17:27,720 --> 00:17:29,960 Speaker 1: just goes to cocktail parties and give speeches that people 284 00:17:29,960 --> 00:17:34,640 Speaker 1: write on occasion. That's all, that's her job. She decided 285 00:17:34,680 --> 00:17:38,080 Speaker 1: it was time to go full awoke and throw people 286 00:17:38,119 --> 00:17:41,080 Speaker 1: under the bus. They put the janitor who couldn't even 287 00:17:41,200 --> 00:17:46,520 Speaker 1: see if miss Kannowete was male or female on leave, 288 00:17:47,119 --> 00:17:50,320 Speaker 1: and because they had a transcript of the phone call, 289 00:17:50,359 --> 00:17:55,000 Speaker 1: You're not going to believe what Knawete decided to do 290 00:17:55,680 --> 00:17:57,880 Speaker 1: when the transcript of the phone call came out. Get 291 00:17:57,880 --> 00:18:02,719 Speaker 1: ready for it. You're listening to the Fuck Sexton Joe podcast. 292 00:18:02,960 --> 00:18:05,720 Speaker 1: Make sure you subscribe to the podcast on the iHeartRadio 293 00:18:05,800 --> 00:18:10,199 Speaker 1: app or wherever you get your podcasts How Fake Racism 294 00:18:10,280 --> 00:18:12,800 Speaker 1: Destroys lives. You can consider this a one oh one 295 00:18:12,880 --> 00:18:16,240 Speaker 1: class today based on this story at Smith College. And again, 296 00:18:16,240 --> 00:18:19,440 Speaker 1: I am here at Spack, So if you hear any 297 00:18:19,720 --> 00:18:22,640 Speaker 1: commotion in the background, it's because I'm at Spack in Orlando, 298 00:18:22,720 --> 00:18:26,199 Speaker 1: Florida and just getting a taste of being in a 299 00:18:26,240 --> 00:18:28,919 Speaker 1: free state like Florida instead of a lockdown state like 300 00:18:29,000 --> 00:18:33,240 Speaker 1: New York. It's pretty pretty remarkable, it's pretty amazing. But 301 00:18:33,880 --> 00:18:38,399 Speaker 1: now I have to get back into this really troubling story. 302 00:18:39,119 --> 00:18:43,359 Speaker 1: That is, I think that the single, the single most 303 00:18:43,600 --> 00:18:50,280 Speaker 1: upsetting story of abuse of this new weaponization of racism 304 00:18:50,320 --> 00:18:52,240 Speaker 1: claims that you see going on, and it happens on 305 00:18:52,359 --> 00:18:56,199 Speaker 1: a regular basis. We all know this stuff happens. And 306 00:18:56,320 --> 00:19:02,800 Speaker 1: here you have Smith College abut all women's college, although 307 00:19:02,840 --> 00:19:04,680 Speaker 1: I don't know if they say that anymore, because that's 308 00:19:04,680 --> 00:19:07,159 Speaker 1: so gender fluid, and there's you know, gender is just 309 00:19:07,200 --> 00:19:09,480 Speaker 1: a state of mind and all that stuff. And I 310 00:19:09,560 --> 00:19:12,000 Speaker 1: know this place very well. I tried to convince my 311 00:19:12,040 --> 00:19:13,880 Speaker 1: little sister that it wasn't really for her. She went 312 00:19:13,920 --> 00:19:16,920 Speaker 1: and visited, and then she managed to find on her 313 00:19:16,960 --> 00:19:20,680 Speaker 1: own that it was not a place where a rational 314 00:19:20,720 --> 00:19:22,760 Speaker 1: person would want to spend four years. It is, by 315 00:19:22,800 --> 00:19:26,080 Speaker 1: the way, I'll tell you this beautiful town, Northampton, great food, 316 00:19:26,440 --> 00:19:30,480 Speaker 1: beautiful town. The winners there are very cold and snowy, 317 00:19:30,560 --> 00:19:33,399 Speaker 1: but also quite lovely in their own way. But Smith 318 00:19:33,440 --> 00:19:36,360 Speaker 1: has been ruined by ideology. It used to be that 319 00:19:36,440 --> 00:19:38,760 Speaker 1: Amherst was a was a men's college where I went, 320 00:19:38,800 --> 00:19:41,800 Speaker 1: and Smith was a women's college as well as Holyoak, 321 00:19:42,320 --> 00:19:44,720 Speaker 1: and the people would go to school there and they 322 00:19:44,760 --> 00:19:47,280 Speaker 1: would often find their their future spouse there and that 323 00:19:47,359 --> 00:19:49,639 Speaker 1: was the system. And then Amherst went co ed and 324 00:19:49,800 --> 00:19:53,960 Speaker 1: Smith and Holyoak went in a different direction, not quite 325 00:19:54,119 --> 00:19:58,240 Speaker 1: co ed, but not quite not co ed. I don't 326 00:19:58,240 --> 00:20:00,400 Speaker 1: know what you'd I don't know how to describe it exactly. 327 00:20:01,280 --> 00:20:04,119 Speaker 1: So this story that I've been telling you, you you have this, 328 00:20:04,560 --> 00:20:08,880 Speaker 1: this student who claimed bias at a very minor incident 329 00:20:09,080 --> 00:20:12,000 Speaker 1: where everything was by the book. There was nothing, there 330 00:20:12,080 --> 00:20:14,400 Speaker 1: was nothing that was in any way, and a law 331 00:20:14,440 --> 00:20:19,240 Speaker 1: firm that specializes in bias investigations did a full, full 332 00:20:19,280 --> 00:20:22,320 Speaker 1: look into this and said, there's nothing here, nothing here, 333 00:20:22,359 --> 00:20:26,160 Speaker 1: nothing but nothing happened, there was no incident. But we've 334 00:20:26,240 --> 00:20:31,080 Speaker 1: so trained people today, especially people who are gen Z, 335 00:20:31,800 --> 00:20:34,800 Speaker 1: people who are millennials, We've so trained them to look 336 00:20:35,840 --> 00:20:38,800 Speaker 1: to look for bias where none exists, because they recognized 337 00:20:38,840 --> 00:20:42,439 Speaker 1: it as a lever of power. It's a tool that 338 00:20:42,480 --> 00:20:45,000 Speaker 1: can be used, it makes people feel good. It's a 339 00:20:45,040 --> 00:20:49,320 Speaker 1: form of reverse bullying. And that's exactly what happened here. 340 00:20:50,280 --> 00:20:53,679 Speaker 1: You have the college president making five hundred k plus 341 00:20:53,680 --> 00:20:59,399 Speaker 1: a year. You have a student who decided that she 342 00:20:59,480 --> 00:21:03,040 Speaker 1: was the target of a race of a racist incident 343 00:21:03,040 --> 00:21:04,680 Speaker 1: where there was no reason to believe that that was 344 00:21:04,720 --> 00:21:08,359 Speaker 1: the case. And you also have a student who I 345 00:21:08,359 --> 00:21:11,520 Speaker 1: would be very curious to know is she paying tuition? 346 00:21:12,000 --> 00:21:15,200 Speaker 1: How much tuition is she paying? Was she in any 347 00:21:15,200 --> 00:21:19,760 Speaker 1: way assisted as a diversity admit to the school? You know, 348 00:21:19,920 --> 00:21:21,800 Speaker 1: these are the questions that if we're really going to 349 00:21:21,840 --> 00:21:25,879 Speaker 1: have a fair and equitable college admissions process, shouldn't we 350 00:21:25,920 --> 00:21:27,760 Speaker 1: be able to know some of these things? Shouldn't we 351 00:21:27,800 --> 00:21:30,520 Speaker 1: will to know what the advantage is in the admissions 352 00:21:30,520 --> 00:21:35,080 Speaker 1: process for people who have a particular background, by the way, 353 00:21:35,119 --> 00:21:39,880 Speaker 1: including legacies, including athletes, but also including the advantages of 354 00:21:40,320 --> 00:21:43,600 Speaker 1: race it admissions, which we all know are very real 355 00:21:43,920 --> 00:21:46,800 Speaker 1: there it's actually an enormous advantage. And if you have 356 00:21:46,920 --> 00:21:51,960 Speaker 1: parents from Molly from what is Northwest Africa, which Miss 357 00:21:53,000 --> 00:21:59,240 Speaker 1: which this student does Kennet, Miss Kennette, then that's a 358 00:21:59,359 --> 00:22:02,000 Speaker 1: that's a tremendou disadvantage in the admissions process too. So 359 00:22:02,040 --> 00:22:04,000 Speaker 1: she's going to a school where she was admitted in 360 00:22:04,080 --> 00:22:07,640 Speaker 1: part likely it's likely that she was admitted in part 361 00:22:07,720 --> 00:22:11,960 Speaker 1: because of the advantage of her race, because it is 362 00:22:12,000 --> 00:22:14,960 Speaker 1: true that there is a racial advantage in admissions in colleges. 363 00:22:15,000 --> 00:22:18,119 Speaker 1: We know that that's a fact. It's established Screame Court 364 00:22:18,119 --> 00:22:19,680 Speaker 1: looks at it. I know people don't like to talk 365 00:22:19,680 --> 00:22:22,399 Speaker 1: about it. It's true, this happens not if you're Asian. 366 00:22:23,600 --> 00:22:29,640 Speaker 1: If you're Asian, too bad. You know, it's rough for you. 367 00:22:29,720 --> 00:22:34,119 Speaker 1: But Democrats don't need to create the same framework of 368 00:22:34,119 --> 00:22:36,880 Speaker 1: of disadvantage for you. They're they're not they're not claiming 369 00:22:36,920 --> 00:22:42,399 Speaker 1: that you're so deeply oppressed. And so this is the 370 00:22:42,440 --> 00:22:44,120 Speaker 1: other part of this though, that really that really got 371 00:22:44,160 --> 00:22:50,720 Speaker 1: my attention. You have It's remarkable, miss Kinda when the 372 00:22:50,720 --> 00:22:56,840 Speaker 1: transcript because the custodian, the janitor called in to student 373 00:22:56,960 --> 00:22:59,920 Speaker 1: security or to a campus security rather called then and say, 374 00:23:00,119 --> 00:23:01,879 Speaker 1: you know that I couldn't tell if it was a 375 00:23:01,920 --> 00:23:04,240 Speaker 1: male or female because didn't even look, just knew that 376 00:23:04,280 --> 00:23:08,840 Speaker 1: somebody was in a dark lounge area of a closed 377 00:23:08,880 --> 00:23:12,359 Speaker 1: off dorm and the and the advice and look, these 378 00:23:12,400 --> 00:23:15,320 Speaker 1: campuses are very open to the public. There are there 379 00:23:15,320 --> 00:23:17,679 Speaker 1: are vagrants, and there are people that are you know, 380 00:23:17,720 --> 00:23:20,200 Speaker 1: trespassing and are not supposed to be there. That does happen. 381 00:23:20,640 --> 00:23:23,239 Speaker 1: I had a very dear friend who was attacked in 382 00:23:23,280 --> 00:23:27,800 Speaker 1: her bed by a local of some of some sort. 383 00:23:27,840 --> 00:23:30,320 Speaker 1: And you know, I remember running around the building when 384 00:23:30,320 --> 00:23:32,000 Speaker 1: I when I found out what had happened trying to 385 00:23:32,040 --> 00:23:36,000 Speaker 1: find this guy. Uh, you know, there there are incidents 386 00:23:36,000 --> 00:23:40,280 Speaker 1: that happened, even in a sleepy town like this. But 387 00:23:40,320 --> 00:23:42,199 Speaker 1: what ended up happening here that I thought was so 388 00:23:42,240 --> 00:23:44,440 Speaker 1: interesting was that she found out that this guy didn't 389 00:23:44,440 --> 00:23:48,600 Speaker 1: know her gender and said he because he because he 390 00:23:48,600 --> 00:23:50,159 Speaker 1: couldn't see into the room and it was dark. He 391 00:23:50,200 --> 00:23:53,399 Speaker 1: assumed it was a he that that she was upset 392 00:23:53,440 --> 00:23:56,840 Speaker 1: that she was misgendered. That was another part of the complaint. 393 00:23:56,920 --> 00:24:01,199 Speaker 1: Later on, she was misgendered. Oh yes, I'm sure this 394 00:24:01,240 --> 00:24:04,919 Speaker 1: guy on purpose did that. Right. This janitor who's been 395 00:24:04,960 --> 00:24:07,439 Speaker 1: working at the college for years and years, who and 396 00:24:07,480 --> 00:24:11,720 Speaker 1: it's written the article, is making forty thousand dollars a year. Okay, 397 00:24:12,400 --> 00:24:14,680 Speaker 1: this guy is just this is your average every day 398 00:24:14,680 --> 00:24:17,080 Speaker 1: American working hard. And I know what those janitors. I 399 00:24:17,080 --> 00:24:20,359 Speaker 1: became very good friends with the janitor at Amer's College, 400 00:24:20,400 --> 00:24:22,600 Speaker 1: particularly my junior year. I lived in a dorm called 401 00:24:22,640 --> 00:24:25,800 Speaker 1: cross It, and I remember having talks with him, I 402 00:24:25,800 --> 00:24:28,280 Speaker 1: mean about the stuff that he would have to you know, 403 00:24:28,280 --> 00:24:30,840 Speaker 1: I don't I know, I don't want to be gross, 404 00:24:30,960 --> 00:24:34,760 Speaker 1: but college kids act like savages. Okay they do. And 405 00:24:34,840 --> 00:24:36,639 Speaker 1: you know this is somebody's dad. I mean he was 406 00:24:36,800 --> 00:24:38,719 Speaker 1: you know, a wife and kids. He was cleaning up 407 00:24:38,840 --> 00:24:41,840 Speaker 1: vomit and urn and all the time, all the time, 408 00:24:41,880 --> 00:24:45,320 Speaker 1: these little brats would act like that, and you know, 409 00:24:45,400 --> 00:24:47,960 Speaker 1: he was getting paid. He was supposed to be getting 410 00:24:47,960 --> 00:24:50,120 Speaker 1: paid to you know, make sure the facilities look nice 411 00:24:50,119 --> 00:24:53,000 Speaker 1: and everything functions, and to change light bulbs when necessary, 412 00:24:53,000 --> 00:24:55,080 Speaker 1: and instead a lot of his job was, you know, 413 00:24:55,119 --> 00:25:00,720 Speaker 1: cleaning up the vomit and urine of privileged brats, including 414 00:25:00,800 --> 00:25:06,080 Speaker 1: woke privilege brats in particular, I might add, So you 415 00:25:06,119 --> 00:25:08,199 Speaker 1: know this is this is another instance here where the 416 00:25:08,280 --> 00:25:11,040 Speaker 1: facts do not matter. As I've told you now, there 417 00:25:11,119 --> 00:25:13,200 Speaker 1: was no reason to believe there was bias. There was 418 00:25:13,280 --> 00:25:18,600 Speaker 1: nothing about this incident that has any connection to what 419 00:25:18,640 --> 00:25:21,040 Speaker 1: a rational person would think is racist or is wrong. 420 00:25:21,440 --> 00:25:23,879 Speaker 1: But it didn't matter. That's the other part of this. 421 00:25:24,080 --> 00:25:29,399 Speaker 1: Smith College still put the janitor on paid leave. Another 422 00:25:29,440 --> 00:25:34,160 Speaker 1: woman who was a cafeteria worker, Cannowete, decided that she 423 00:25:34,320 --> 00:25:37,600 Speaker 1: was going to out her because she didn't realize who 424 00:25:37,600 --> 00:25:43,119 Speaker 1: it was at first who called security. And so what 425 00:25:43,400 --> 00:25:47,920 Speaker 1: ended up happening was she she uh said the wrong 426 00:25:47,960 --> 00:25:51,120 Speaker 1: and said the wrong person. She gave the wrong name, 427 00:25:52,560 --> 00:25:58,520 Speaker 1: it's really awful, really awful. So you know, this is 428 00:26:00,000 --> 00:26:01,679 Speaker 1: student workers, by the way, just just to give you 429 00:26:01,720 --> 00:26:03,919 Speaker 1: some more of the details here, student workers were not 430 00:26:03,920 --> 00:26:06,760 Speaker 1: supposed to use the Tyler cafeteria, which was reserved for 431 00:26:07,160 --> 00:26:11,359 Speaker 1: a camp for summer children. That's why you weren't supposed 432 00:26:11,400 --> 00:26:14,320 Speaker 1: to have students in these different in some of the cafeterias, 433 00:26:14,320 --> 00:26:18,680 Speaker 1: some of these areas, and the summer camp area was 434 00:26:19,040 --> 00:26:21,760 Speaker 1: off limits. That was the whole, the whole thing here. 435 00:26:21,760 --> 00:26:23,520 Speaker 1: But even the janitors knew that if they had to 436 00:26:23,600 --> 00:26:26,080 Speaker 1: enforce any of these rules, they were in trouble. We 437 00:26:26,240 --> 00:26:28,199 Speaker 1: used to joke, don't let her rich student report you, 438 00:26:28,200 --> 00:26:30,960 Speaker 1: because if you do, you're gone. Mark Patanade said, he's 439 00:26:30,960 --> 00:26:34,800 Speaker 1: a janitor. Miss Knoette took her food and walked through 440 00:26:34,840 --> 00:26:37,440 Speaker 1: a set of French doors, crossed a foyer, reclined in 441 00:26:37,480 --> 00:26:40,080 Speaker 1: the shadowed lounge of a dormitory close for the summer, 442 00:26:40,600 --> 00:26:43,199 Speaker 1: where she scrolled the web. As she ate, a large 443 00:26:43,280 --> 00:26:46,560 Speaker 1: stuffed bear obscured the view of her from the cafeteria. 444 00:26:46,600 --> 00:26:48,040 Speaker 1: So it was kind of a lounge off of a 445 00:26:48,080 --> 00:26:51,640 Speaker 1: cafeteria in a dorm It's complicated, but but she thought 446 00:26:51,680 --> 00:26:56,000 Speaker 1: that somebody else was the one who called security. It 447 00:26:56,119 --> 00:26:58,520 Speaker 1: was a janitor. She thought it was a different person, 448 00:26:59,280 --> 00:27:03,440 Speaker 1: and she outed that person. Miss Blair, the cafeteria worker, 449 00:27:03,440 --> 00:27:06,760 Speaker 1: received an email from a reporter at The Boston Globe 450 00:27:06,760 --> 00:27:08,760 Speaker 1: asking her to comment on why she called secure to 451 00:27:08,840 --> 00:27:13,240 Speaker 1: hi Miss Knoete for quote eating while black. That puzzled her. 452 00:27:13,280 --> 00:27:15,720 Speaker 1: The author writes here, what did she have to do 453 00:27:15,800 --> 00:27:19,520 Speaker 1: with this? The food services director called the next morning, Jackie. 454 00:27:19,520 --> 00:27:22,800 Speaker 1: He said, you're on Facebook. She found that Miss Kennoette 455 00:27:22,880 --> 00:27:27,879 Speaker 1: had posted her photograph, name and email. This is the 456 00:27:28,040 --> 00:27:31,199 Speaker 1: racist person, Miss Kannoeta wrote of Miss Blair, adding that 457 00:27:31,280 --> 00:27:35,240 Speaker 1: Miss Patnade, Mister Patnade right of the janitor, was also guilty. 458 00:27:35,920 --> 00:27:37,800 Speaker 1: He in fact worked an early shift that day and 459 00:27:37,800 --> 00:27:40,280 Speaker 1: had already gone home at the time of the incident. 460 00:27:41,119 --> 00:27:44,879 Speaker 1: Miss Kennoeta also lashed out at the Smith administration. They're 461 00:27:44,960 --> 00:27:50,560 Speaker 1: essentially enabling racist, cowardly acts. Miss Blair again, the entirely 462 00:27:50,560 --> 00:27:52,720 Speaker 1: innocent party who did not call the police had nothing 463 00:27:52,760 --> 00:27:54,600 Speaker 1: to do with this, Okay, Just to be very clear, 464 00:27:54,800 --> 00:27:57,320 Speaker 1: person was just doing her job working as a cafeteria worker, 465 00:27:57,600 --> 00:27:59,720 Speaker 1: making you know, thirty seven thirty eight grand year or 466 00:27:59,720 --> 00:28:03,159 Speaker 1: whatever it is. She has lupa's, a disease of the 467 00:28:03,200 --> 00:28:06,720 Speaker 1: immune system, and stress triggers episodes. Shed up going to 468 00:28:06,720 --> 00:28:09,879 Speaker 1: the hospital because of all this. I mean, you just 469 00:28:09,920 --> 00:28:11,919 Speaker 1: go through this and you know what it is. You 470 00:28:12,040 --> 00:28:17,840 Speaker 1: have a couple of white working class, hard working of 471 00:28:18,240 --> 00:28:23,200 Speaker 1: employees of Smith College totally thrown under the bus by 472 00:28:23,480 --> 00:28:26,800 Speaker 1: the five hundred thousand dollar year white female president of 473 00:28:26,880 --> 00:28:31,960 Speaker 1: Smith College, very privileged person, because a black female student 474 00:28:32,040 --> 00:28:34,920 Speaker 1: decided that she was going to have some fun with 475 00:28:35,040 --> 00:28:40,240 Speaker 1: weaponizing a racism accusation. This isn't just about Smith College 476 00:28:40,280 --> 00:28:42,000 Speaker 1: for those who aren't. Why is Buck spending so much 477 00:28:42,040 --> 00:28:46,400 Speaker 1: time today on one school in Massachusetts? And yes, there's 478 00:28:46,400 --> 00:28:48,160 Speaker 1: some nostalgia for me because I spent a lot of 479 00:28:48,160 --> 00:28:49,680 Speaker 1: time there and have a lot of stories I can 480 00:28:49,720 --> 00:28:53,440 Speaker 1: tell you about that place, bizarre ones. But it's because 481 00:28:53,520 --> 00:28:56,800 Speaker 1: this is actually now corporate culture too. This is across 482 00:28:56,880 --> 00:29:00,520 Speaker 1: the whole country. This is what wokeness me. It doesn't 483 00:29:00,520 --> 00:29:03,120 Speaker 1: matter if you didn't do anything wrong. It's a conversation 484 00:29:03,200 --> 00:29:05,680 Speaker 1: we need to have. They'll tell you. It doesn't matter 485 00:29:05,720 --> 00:29:08,640 Speaker 1: if you were just enforcing the rules as they're supposed 486 00:29:08,680 --> 00:29:11,640 Speaker 1: to be. You offended somebody who's a minority are protected 487 00:29:11,680 --> 00:29:16,000 Speaker 1: minority because remember, some minorities are protected, anothers aren't. Doesn't 488 00:29:16,000 --> 00:29:17,880 Speaker 1: matter what the truth is, doesn't matter what you did. 489 00:29:18,520 --> 00:29:23,080 Speaker 1: All that matters in this is that the wokeness gets 490 00:29:23,080 --> 00:29:27,680 Speaker 1: to pick people to destroy. It's about power. It's about 491 00:29:27,680 --> 00:29:29,719 Speaker 1: power for people who claim they don't have it, but 492 00:29:29,760 --> 00:29:32,640 Speaker 1: they know that as long as they play this game, 493 00:29:33,280 --> 00:29:38,320 Speaker 1: they do and they enjoy it, they get they get 494 00:29:38,320 --> 00:29:41,880 Speaker 1: a thrill out of it ruining the lives of working 495 00:29:41,920 --> 00:29:44,720 Speaker 1: class people who are who are cleaning up, who are 496 00:29:44,760 --> 00:29:47,760 Speaker 1: literally cleaning up vomit and throw up, and the mess 497 00:29:47,800 --> 00:29:50,880 Speaker 1: that these brats leave behind all the time. Get them 498 00:29:51,080 --> 00:29:54,120 Speaker 1: death threats online, which happened to the cafeteria worker and 499 00:29:54,200 --> 00:29:58,280 Speaker 1: the jender. Get them death threats online. Make them unemployable 500 00:29:58,280 --> 00:30:00,320 Speaker 1: in other jobs they try to look for, which also 501 00:30:00,400 --> 00:30:04,720 Speaker 1: happened because a black female student didn't like being told 502 00:30:04,960 --> 00:30:07,320 Speaker 1: you're not actually supposed to be eating in here, could 503 00:30:07,360 --> 00:30:10,480 Speaker 1: you please go to the other cafeteria. That's the America 504 00:30:10,520 --> 00:30:15,680 Speaker 1: we actually live in today. That's reality. That's what wokeness is. 505 00:30:15,960 --> 00:30:18,920 Speaker 1: That's what this story is. Don't forget it, because this 506 00:30:19,000 --> 00:30:22,920 Speaker 1: is what we're contending with now. This is instead instead 507 00:30:22,960 --> 00:30:29,680 Speaker 1: of Soviet class struggle. We have Soviet style racial Marxism 508 00:30:29,840 --> 00:30:34,480 Speaker 1: in this country. Now, that's what's happening, and it's destroying us. 509 00:30:35,280 --> 00:30:39,320 Speaker 1: It's pulling us apart. You're in the freedom hunt. Thanks 510 00:30:39,320 --> 00:30:42,200 Speaker 1: for listening to The buck Sexton Show podcast to get 511 00:30:42,240 --> 00:30:47,440 Speaker 1: the latest from Bucket buck Sexton dot com. Well, look 512 00:30:47,440 --> 00:30:51,160 Speaker 1: at this a news story breaking today. Actually that is 513 00:30:51,200 --> 00:30:53,680 Speaker 1: tying in with exactly what we've been or some of 514 00:30:53,680 --> 00:30:57,680 Speaker 1: what we've been talking about. In the last hour. Supreme 515 00:30:57,720 --> 00:31:02,600 Speaker 1: Court asked to outlaw race based college admissions. A group 516 00:31:02,840 --> 00:31:07,720 Speaker 1: challenging Harvard admissions policies says it files an appeal asking 517 00:31:07,760 --> 00:31:11,720 Speaker 1: the Court over the two thousand and three Grutter decision. 518 00:31:12,920 --> 00:31:17,040 Speaker 1: This is Gruttter v. Bollinger. This is uh, this is excellent. 519 00:31:17,760 --> 00:31:19,640 Speaker 1: Supreme Court has now been has not been asked to 520 00:31:19,680 --> 00:31:22,280 Speaker 1: outlaw race based admissions. Let's be very clear about this. 521 00:31:22,320 --> 00:31:28,360 Speaker 1: The Supreme Court should absolutely outlaw raced based admissions. Okay, 522 00:31:28,480 --> 00:31:32,960 Speaker 1: there's there's no good faith way to, no good faith 523 00:31:33,000 --> 00:31:38,280 Speaker 1: way to argue that this isn't an Equal Protection clause violation. 524 00:31:38,320 --> 00:31:41,680 Speaker 1: Of course, it's an Equal Protection clause violation. And the 525 00:31:42,040 --> 00:31:44,320 Speaker 1: way that this is finally coming to the forefront, I 526 00:31:44,320 --> 00:31:49,720 Speaker 1: think is because of Asian Americans and their treatment in 527 00:31:49,720 --> 00:31:52,560 Speaker 1: this whole process, because if we have you know, you're 528 00:31:52,600 --> 00:31:56,160 Speaker 1: always told that there's this system of white supremacy, that's 529 00:31:56,160 --> 00:31:58,960 Speaker 1: what they'll say, a system of white supremacy in America. 530 00:31:59,040 --> 00:32:03,240 Speaker 1: And they've expanded that term white supremacy tremendously, right, They've 531 00:32:03,240 --> 00:32:06,600 Speaker 1: expanded it a whole heck of a lot, so that 532 00:32:06,680 --> 00:32:10,520 Speaker 1: now it includes things that no reasonable person before would 533 00:32:10,560 --> 00:32:14,560 Speaker 1: have ever thought constitutes white supremacy. I mean, they wouldn't 534 00:32:14,560 --> 00:32:17,680 Speaker 1: have thought that, right, But now it's whatever they say 535 00:32:17,680 --> 00:32:20,680 Speaker 1: it is. It's whatever the left, whatever the woke mob 536 00:32:20,800 --> 00:32:27,320 Speaker 1: decides constitutes white supremacy, is just that. And the problem 537 00:32:27,320 --> 00:32:29,720 Speaker 1: that they have to contend with is that the average 538 00:32:29,760 --> 00:32:34,760 Speaker 1: Asian American household makes more money in America than the 539 00:32:34,800 --> 00:32:39,040 Speaker 1: average white American household does that the people who are 540 00:32:39,080 --> 00:32:43,800 Speaker 1: most overrepresented as a percentage of population in elite colleges 541 00:32:43,960 --> 00:32:48,920 Speaker 1: across the country are Asian Americans, not in fact, white Americans. 542 00:32:49,160 --> 00:32:51,120 Speaker 1: So how is it that we have a system that 543 00:32:51,200 --> 00:32:55,440 Speaker 1: they tell us is dedicated to the perpetuation the elevation, 544 00:32:55,720 --> 00:33:00,200 Speaker 1: unfair elevation of one race in America? But that's not 545 00:33:00,320 --> 00:33:03,880 Speaker 1: even accurate based on the facts about who is the 546 00:33:03,880 --> 00:33:07,960 Speaker 1: most elevated as a percentage of population in elite institutions 547 00:33:08,000 --> 00:33:10,360 Speaker 1: and when it comes to household wealth and things of 548 00:33:10,360 --> 00:33:14,600 Speaker 1: that nature. How is that possible? How can you argue, 549 00:33:14,840 --> 00:33:20,200 Speaker 1: for example, that Hispanic and Latino Americans or Hispanic or 550 00:33:20,280 --> 00:33:22,440 Speaker 1: Latino I refuse to use this term Latin x. I've 551 00:33:22,440 --> 00:33:26,720 Speaker 1: actually never met a Latino or Hispanic person who likes 552 00:33:26,720 --> 00:33:30,000 Speaker 1: the term Latin X. So I think that's always that's 553 00:33:30,000 --> 00:33:33,400 Speaker 1: always a tell. But how is it that you can 554 00:33:33,440 --> 00:33:37,720 Speaker 1: explain at Harvard, at Stanford, at you name, at University 555 00:33:37,720 --> 00:33:40,960 Speaker 1: of Michigan. That's where the Grutter v. Bollinger decision was, 556 00:33:41,160 --> 00:33:47,680 Speaker 1: University of Michigan. How can you explain the situation where 557 00:33:47,720 --> 00:33:52,560 Speaker 1: Asian Americans are discriminated against, but Latino Americans get a 558 00:33:53,680 --> 00:33:57,760 Speaker 1: they get a benefit in the admissions process. Why is 559 00:33:57,800 --> 00:34:01,120 Speaker 1: that fair? There's no legacy of slavery to discuss when 560 00:34:01,120 --> 00:34:07,040 Speaker 1: you're talking about Latino Latino applicants. So, and also what 561 00:34:07,120 --> 00:34:10,000 Speaker 1: really constitutes even being in one of these categories. Another 562 00:34:10,040 --> 00:34:14,160 Speaker 1: problem they have is that categories like white and Latino, 563 00:34:15,160 --> 00:34:18,719 Speaker 1: and and even a category like black, there are so 564 00:34:18,800 --> 00:34:23,360 Speaker 1: many variations within these categories. So you know, being African 565 00:34:23,400 --> 00:34:25,680 Speaker 1: American is a is a different thing, and you have 566 00:34:25,719 --> 00:34:28,960 Speaker 1: had a different experience than being somebody who comes from 567 00:34:31,719 --> 00:34:37,640 Speaker 1: Nigeria or Molly or Cameroon. Right, it's a different thing. 568 00:34:37,760 --> 00:34:42,359 Speaker 1: You've had a different experience. Being a white person can 569 00:34:42,400 --> 00:34:46,040 Speaker 1: be somebody who grew up, you know, on Martha's vineyard 570 00:34:46,040 --> 00:34:49,200 Speaker 1: for having's sakes, or you could be somebody who is 571 00:34:49,400 --> 00:34:54,560 Speaker 1: very light skinned from northern Iraq or Afghanistan. There are 572 00:34:54,680 --> 00:34:59,279 Speaker 1: Caucasians in fact, throughout much of the Western Eurasia who 573 00:34:59,320 --> 00:35:02,319 Speaker 1: are just as right as anybody else. And you know, 574 00:35:02,360 --> 00:35:04,799 Speaker 1: in terms of their actual skin, you'd see them and say, well, 575 00:35:04,800 --> 00:35:08,279 Speaker 1: they're white, and they have all kinds of oppression and 576 00:35:09,480 --> 00:35:12,439 Speaker 1: problems that they've had to deal with, systemic problems. These 577 00:35:12,520 --> 00:35:16,640 Speaker 1: categories are so messy as to be meaningless, except they're 578 00:35:16,680 --> 00:35:20,920 Speaker 1: not about fair. They're about power. This is bucks first thoughts, 579 00:35:21,120 --> 00:35:22,880 Speaker 1: the news you need to get through your day in 580 00:35:22,960 --> 00:35:25,920 Speaker 1: forty five minutes. Make sure you subscribe on the iHeart 581 00:35:25,960 --> 00:35:30,880 Speaker 1: app or wherever you get your podcasts. I'm here at seepack, 582 00:35:31,080 --> 00:35:33,640 Speaker 1: which is fun because I get to see buddies of 583 00:35:33,680 --> 00:35:36,200 Speaker 1: mine that I usually get to interact with on a 584 00:35:36,320 --> 00:35:39,040 Speaker 1: virtual level. I get to have them call in or 585 00:35:39,120 --> 00:35:43,520 Speaker 1: join by Skype or whatever. But Ben Ferguson of The 586 00:35:43,520 --> 00:35:46,560 Speaker 1: Ben Ferguson Show is here with me, and Ben I 587 00:35:46,600 --> 00:35:49,759 Speaker 1: gotta tell everybody you. You were supposed to bring your 588 00:35:49,840 --> 00:35:52,840 Speaker 1: tennis rackets so we could play, and I did not 589 00:35:52,960 --> 00:35:55,239 Speaker 1: bring mine. So the good news is I let you 590 00:35:55,280 --> 00:35:56,719 Speaker 1: off the hook. By the way I should have played 591 00:35:56,719 --> 00:35:58,520 Speaker 1: it up. I should have seemed like I was devastated 592 00:35:58,520 --> 00:36:00,480 Speaker 1: when you walked up me, like I forgot my rackets, 593 00:36:00,800 --> 00:36:03,759 Speaker 1: and I was relieved because I forgot mine too. But 594 00:36:03,880 --> 00:36:05,719 Speaker 1: I should have held you on the hookback, dude, I 595 00:36:05,760 --> 00:36:08,080 Speaker 1: had a court at to o'clock for us. I did 596 00:36:08,120 --> 00:36:09,719 Speaker 1: not play that well. I was too nice to you, 597 00:36:10,640 --> 00:36:12,960 Speaker 1: two guys with side parts who like to play tennis. 598 00:36:13,080 --> 00:36:16,239 Speaker 1: Not So what's it? What's it feel like for you? 599 00:36:16,280 --> 00:36:19,040 Speaker 1: I want to know one thing. When you leave New 600 00:36:19,120 --> 00:36:23,480 Speaker 1: York City and you arrive in Florida. Yes, there's some 601 00:36:23,520 --> 00:36:25,480 Speaker 1: different rules in regulations, but way people are still wearing 602 00:36:25,520 --> 00:36:27,040 Speaker 1: masks here a lot and everything. But when you leave 603 00:36:27,080 --> 00:36:29,600 Speaker 1: New York City and you get to Florida, you feel 604 00:36:29,600 --> 00:36:32,399 Speaker 1: like this is kind of what normal life. Feel it's 605 00:36:32,400 --> 00:36:34,319 Speaker 1: not quite normal here, but this is close. It's it's 606 00:36:34,320 --> 00:36:37,440 Speaker 1: a lot closer to normal than anywhere else. How does 607 00:36:37,480 --> 00:36:40,879 Speaker 1: it compare to to Texas and to Tennessee, to other 608 00:36:40,920 --> 00:36:42,759 Speaker 1: states that you spend a lot of you where you're 609 00:36:42,760 --> 00:36:46,320 Speaker 1: from a lot of time. So in in Tennessee, the state, 610 00:36:46,719 --> 00:36:48,879 Speaker 1: the governor there, Governor Lee, has done a great job 611 00:36:48,880 --> 00:36:53,000 Speaker 1: of saying, hey, we're gonna be pro business, pro opening up. 612 00:36:53,040 --> 00:36:55,360 Speaker 1: We're not gonna hold you back. We're gonna get we 613 00:36:55,400 --> 00:36:57,200 Speaker 1: want to get the kids back school. The problem is 614 00:36:57,280 --> 00:37:01,080 Speaker 1: in big cities like Nashville and Memphis, they have their 615 00:37:01,160 --> 00:37:04,040 Speaker 1: own health departments, so by law they get to make 616 00:37:04,080 --> 00:37:07,640 Speaker 1: their rules. The governor can't overrun them. So they've been 617 00:37:07,680 --> 00:37:09,640 Speaker 1: like no, no, no no, no, we shut down here. Like 618 00:37:09,920 --> 00:37:12,640 Speaker 1: our restaurant was twenty five percent occupancy until like two 619 00:37:12,640 --> 00:37:14,360 Speaker 1: weeks ago. No one can make a living do that. 620 00:37:14,400 --> 00:37:18,880 Speaker 1: We're gonna lose the Area Restaurant Association. They believe that 621 00:37:18,960 --> 00:37:22,320 Speaker 1: we'll probably lose at least forty percent of restaurants that 622 00:37:22,360 --> 00:37:25,239 Speaker 1: will never open again. Like close here, the keys back, 623 00:37:25,280 --> 00:37:28,560 Speaker 1: we're done, we've lost our business. We're done. Same thing 624 00:37:28,560 --> 00:37:31,000 Speaker 1: in Houston. You've got you've got a mayor. They're hard 625 00:37:31,000 --> 00:37:34,759 Speaker 1: core liberal right, big defund the police guy. You know, 626 00:37:34,920 --> 00:37:39,160 Speaker 1: Black lives matter, riots, protests, let's you know, and again 627 00:37:39,200 --> 00:37:41,520 Speaker 1: a guy that has said no, no, no, I have control. 628 00:37:42,000 --> 00:37:44,680 Speaker 1: I'm gonna shut us down. We're not gonna have bars open, 629 00:37:44,880 --> 00:37:47,400 Speaker 1: We're not gonna have tourism, We're not gonna have sports, 630 00:37:47,440 --> 00:37:49,279 Speaker 1: We're not gonna have it. I mean they have, They 631 00:37:49,280 --> 00:37:52,640 Speaker 1: have suffocated these cities, and we're gonna lose their thirty 632 00:37:52,640 --> 00:37:54,440 Speaker 1: five They think thirty five percent of the restaurants will 633 00:37:54,480 --> 00:37:57,880 Speaker 1: never reopen. How far down like as estimate for us, 634 00:37:57,880 --> 00:38:01,400 Speaker 1: because I know you own a barbecue restaurant and when 635 00:38:01,440 --> 00:38:03,560 Speaker 1: the world opens, I've promised Ben that I'm actually go 636 00:38:03,719 --> 00:38:06,640 Speaker 1: and try his brisket and I'm going to compare it 637 00:38:06,880 --> 00:38:09,840 Speaker 1: to the best Brooklyn hipster brisket. And I'm gonna be 638 00:38:09,880 --> 00:38:12,480 Speaker 1: ruthless about this. I will. There are very few things 639 00:38:12,520 --> 00:38:15,480 Speaker 1: I feel confident about in a a Lifebuck There's two of them. 640 00:38:15,680 --> 00:38:17,840 Speaker 1: One that my serve is going to be better than yours, 641 00:38:17,880 --> 00:38:22,480 Speaker 1: and to the brisket. The brisket is going to be 642 00:38:22,480 --> 00:38:26,279 Speaker 1: better than Brooklyn. I feel very confident in those two things. So, 643 00:38:27,040 --> 00:38:29,800 Speaker 1: first of all, don't worry. If you beat me a tennis, 644 00:38:29,840 --> 00:38:33,239 Speaker 1: I'll beat you in pink because obviously we're paddle sports guys. 645 00:38:33,239 --> 00:38:35,640 Speaker 1: That's the way it has to go. And second of all, um, 646 00:38:37,080 --> 00:38:41,040 Speaker 1: I just feel like the barbecue wars among various parts 647 00:38:41,080 --> 00:38:43,160 Speaker 1: of this country is one of the few places where 648 00:38:43,719 --> 00:38:47,480 Speaker 1: everybody is everyone's sort of convinced that if only you 649 00:38:47,560 --> 00:38:52,480 Speaker 1: try the best of my regional variety, you will so 650 00:38:52,520 --> 00:38:54,880 Speaker 1: I I it's funny, I'm a I'm an advocate for 651 00:38:54,880 --> 00:38:57,279 Speaker 1: the barbecue world. It's a lost art. It is a 652 00:38:57,480 --> 00:39:00,880 Speaker 1: it is is truly art. And there are there are 653 00:39:00,920 --> 00:39:03,000 Speaker 1: people that I will take you to go see, and 654 00:39:03,040 --> 00:39:06,400 Speaker 1: it's amazing who have built their own smokers their way, 655 00:39:06,920 --> 00:39:09,880 Speaker 1: who cook their way, who show up at two in 656 00:39:09,880 --> 00:39:12,000 Speaker 1: the morning and do it their way. There are some 657 00:39:12,080 --> 00:39:16,320 Speaker 1: of the most amazing places that may disappear because of COVID, 658 00:39:16,400 --> 00:39:18,719 Speaker 1: right that I will take you two when you come 659 00:39:18,719 --> 00:39:21,000 Speaker 1: to Memphis. But but the restaurant industry in general, I 660 00:39:21,040 --> 00:39:23,319 Speaker 1: think that's where you're going kind of like, what do 661 00:39:23,360 --> 00:39:25,719 Speaker 1: you do? I mean, look at our employees. They're underemployed 662 00:39:25,800 --> 00:39:28,560 Speaker 1: right now, right. I think Democrats were in favor of 663 00:39:28,560 --> 00:39:32,759 Speaker 1: a living wage we're underemployed because we've had employees. We've 664 00:39:32,760 --> 00:39:34,600 Speaker 1: had to shift hours around it. We've had to lay 665 00:39:34,600 --> 00:39:36,960 Speaker 1: off people, We've had to say we don't have enough 666 00:39:36,960 --> 00:39:38,480 Speaker 1: hours free. If you got to get a job somewhere else, 667 00:39:38,480 --> 00:39:40,719 Speaker 1: get a job somewhere else. I'm sorry, because when you 668 00:39:40,760 --> 00:39:43,920 Speaker 1: operate at twenty five percent for months on end, you 669 00:39:43,960 --> 00:39:46,440 Speaker 1: don't need a full staff. You can't afford a full staff. 670 00:39:46,560 --> 00:39:48,359 Speaker 1: I can only serve twenty five percent of the food 671 00:39:48,360 --> 00:39:52,800 Speaker 1: I was serving before, and so this is destroyed those 672 00:39:53,520 --> 00:39:56,960 Speaker 1: hourly workers. And we pay above average wages that are 673 00:39:56,960 --> 00:40:00,239 Speaker 1: at my restaurants, something I care about, and I want 674 00:40:00,239 --> 00:40:02,520 Speaker 1: to make sure that people are not struggling. You get 675 00:40:02,560 --> 00:40:04,440 Speaker 1: you go. I want to be a good employer, but 676 00:40:04,480 --> 00:40:06,560 Speaker 1: I've had to look at him going. I cannot employe 677 00:40:06,560 --> 00:40:08,279 Speaker 1: if you need to leave, I understand it. I can't 678 00:40:08,320 --> 00:40:12,040 Speaker 1: give you forty hours because you would have to shut down. Yeah, 679 00:40:12,040 --> 00:40:14,240 Speaker 1: and no one can make money at twenty five percent. 680 00:40:14,280 --> 00:40:17,399 Speaker 1: I mean, I didn't realize barbecue has good margins, right, 681 00:40:17,400 --> 00:40:19,640 Speaker 1: it's I mean it does. It has good margins because 682 00:40:20,000 --> 00:40:22,840 Speaker 1: you have a very simple menu. You don't have a 683 00:40:22,880 --> 00:40:24,360 Speaker 1: lot of items on that menu. You don't have a 684 00:40:24,360 --> 00:40:27,160 Speaker 1: lot of loss. Right if we cook briskets and we 685 00:40:27,239 --> 00:40:29,239 Speaker 1: run out, we were proud of that. We put a 686 00:40:29,320 --> 00:40:31,200 Speaker 1: huge sign up says out of brisket, Right, we run 687 00:40:31,239 --> 00:40:33,120 Speaker 1: out of ribs for the day, we run out of ribs. 688 00:40:33,120 --> 00:40:36,399 Speaker 1: That happens, right, No, and it does. But it's kind 689 00:40:36,400 --> 00:40:38,200 Speaker 1: of like a rite of passage, like, man, our stuff's good, 690 00:40:38,239 --> 00:40:41,120 Speaker 1: we run out all the time, and so there's no there. 691 00:40:41,160 --> 00:40:44,400 Speaker 1: It's a good margin, becauess, but there's no business that 692 00:40:44,440 --> 00:40:46,799 Speaker 1: can run at twenty five percent. How long do you 693 00:40:46,800 --> 00:40:48,920 Speaker 1: think they're going to continue that? Because my, my big 694 00:40:49,200 --> 00:40:51,719 Speaker 1: we just went to fifty percent with no reason behind it, 695 00:40:51,760 --> 00:40:54,000 Speaker 1: just arbitrary number. Like, well, this is what I'm saying 696 00:40:54,000 --> 00:40:56,400 Speaker 1: because because in New York they just went from I 697 00:40:56,840 --> 00:40:59,640 Speaker 1: make I make jokes about how stupid the lockdowns are, 698 00:41:00,200 --> 00:41:02,840 Speaker 1: and and now I'm actually concerned. It's almost like Governor 699 00:41:02,880 --> 00:41:06,000 Speaker 1: Cuomo listens to my show or something and goes, you 700 00:41:06,000 --> 00:41:08,520 Speaker 1: know what, just to be a jackass, I'm gonna do 701 00:41:08,560 --> 00:41:10,799 Speaker 1: the thing the opposite of what you said. He'll do 702 00:41:10,840 --> 00:41:12,759 Speaker 1: the thing that I've been making fun of. For real. 703 00:41:13,200 --> 00:41:15,200 Speaker 1: So I've been saying because I said, why we open 704 00:41:15,239 --> 00:41:18,200 Speaker 1: at twenty five percent, why not twenty seven point five percent? 705 00:41:18,239 --> 00:41:20,239 Speaker 1: You know, throw the margin right, what if this is 706 00:41:20,280 --> 00:41:22,960 Speaker 1: based on science and the numbers shouldn't be rounded. They did, 707 00:41:23,000 --> 00:41:25,239 Speaker 1: they did thirty five percent. Now they've gone from twenty 708 00:41:25,239 --> 00:41:27,480 Speaker 1: five to thirty five, not even fifty. And I'm like, well, 709 00:41:27,480 --> 00:41:30,000 Speaker 1: why stop there? When's the forty percent opening? I mean, 710 00:41:30,080 --> 00:41:34,280 Speaker 1: it's all such arbitrary crap. And and my my concern 711 00:41:34,520 --> 00:41:37,239 Speaker 1: is that people don't understand. Yes, they're going to let 712 00:41:37,360 --> 00:41:39,400 Speaker 1: up on this for a little bit once the weather 713 00:41:39,480 --> 00:41:41,319 Speaker 1: gets better. In all these places the cases are going 714 00:41:41,360 --> 00:41:44,200 Speaker 1: way down, but they think that they have the right 715 00:41:44,280 --> 00:41:49,440 Speaker 1: to reinstitute this, and there will be arasolis virus next 716 00:41:49,480 --> 00:41:52,160 Speaker 1: winter time. There will be and might seem there, but 717 00:41:52,160 --> 00:41:54,000 Speaker 1: it might be might. By the way, how do we 718 00:41:54,040 --> 00:41:57,320 Speaker 1: handle flu? The flu has basically been eradicated according to CDC. 719 00:41:57,680 --> 00:41:59,840 Speaker 1: Where did go? Where did it go? The flu is 720 00:42:00,000 --> 00:42:02,680 Speaker 1: has been eradicated, So we're to believe And I want 721 00:42:02,680 --> 00:42:04,080 Speaker 1: to be very clear, because you know, I get I 722 00:42:04,080 --> 00:42:05,719 Speaker 1: don't know if you've had this. I've been attacked by 723 00:42:05,800 --> 00:42:09,560 Speaker 1: the PolitiFact and those maniacs were just saying, yeah, of course, 724 00:42:09,560 --> 00:42:12,960 Speaker 1: the stories on how I'm telling partially true things I'm 725 00:42:13,000 --> 00:42:16,800 Speaker 1: like also known as seeing reality. But the flu is 726 00:42:16,840 --> 00:42:20,279 Speaker 1: somehow gone. The flu will come back. I mean when 727 00:42:20,280 --> 00:42:22,719 Speaker 1: I say somehow, that's just what they say. This is 728 00:42:23,080 --> 00:42:26,839 Speaker 1: the masking and social distancing obviously didn't work very well 729 00:42:26,840 --> 00:42:28,920 Speaker 1: this winter time overall. I mean you could say it 730 00:42:28,960 --> 00:42:30,480 Speaker 1: worked a little bit if you want, but clearly we 731 00:42:30,600 --> 00:42:33,560 Speaker 1: said all time records for debts and flu, though is gone. 732 00:42:33,960 --> 00:42:36,920 Speaker 1: These things will come back then at some level, and 733 00:42:36,960 --> 00:42:40,120 Speaker 1: there will be a knee jerk reaction in places, even 734 00:42:40,120 --> 00:42:42,839 Speaker 1: in places like Nashville, even place you look at Blue 735 00:42:42,840 --> 00:42:45,320 Speaker 1: states and they're gonna be shutting down barbecue joints again, 736 00:42:45,480 --> 00:42:47,800 Speaker 1: mark my word. The people that are making the decisions 737 00:42:47,840 --> 00:42:50,160 Speaker 1: these health parts, they're elected by no one. They're appointed, 738 00:42:50,280 --> 00:42:53,200 Speaker 1: which bothers me. Right, you've got Cuomo and others, right, 739 00:42:53,400 --> 00:42:55,880 Speaker 1: But the people under them that all of a sudden 740 00:42:55,880 --> 00:42:58,280 Speaker 1: got this power to shut down America, they're not elected 741 00:42:58,280 --> 00:43:01,200 Speaker 1: by anybody. The health department that can shut down your business, 742 00:43:01,200 --> 00:43:03,080 Speaker 1: that can find you thousands of dollars, that can take 743 00:43:03,120 --> 00:43:06,319 Speaker 1: away your business license are elected by no one. And 744 00:43:06,360 --> 00:43:10,560 Speaker 1: then and these rules I'll just give you example. November December, 745 00:43:11,320 --> 00:43:15,319 Speaker 1: they said twenty five percent occupancy. Then they said, but 746 00:43:16,160 --> 00:43:19,480 Speaker 1: you Buck Sexton, cannot sit the same table with Ben Ferguson. 747 00:43:20,040 --> 00:43:21,600 Speaker 1: If you don't live in the same household, you're not 748 00:43:21,640 --> 00:43:23,480 Speaker 1: allowed to sit together. And we had to check IDs. 749 00:43:24,040 --> 00:43:27,239 Speaker 1: My father and I could make barbecue together all day 750 00:43:27,280 --> 00:43:31,160 Speaker 1: at our restaurant. We could prepare briskets, trim briskets, put 751 00:43:31,200 --> 00:43:33,759 Speaker 1: on firewood, work side by side all day long. But 752 00:43:33,840 --> 00:43:35,840 Speaker 1: if we want to eat lunch together, we're not allowed 753 00:43:35,840 --> 00:43:37,440 Speaker 1: to eat lunch toge at the same table because we 754 00:43:37,520 --> 00:43:40,560 Speaker 1: don't live at the same address. So the rule they 755 00:43:40,600 --> 00:43:43,279 Speaker 1: made was on top of the twenty five percent rule, 756 00:43:43,719 --> 00:43:46,319 Speaker 1: the tables also had to be at least six ft apart, 757 00:43:46,360 --> 00:43:50,000 Speaker 1: which took us below twenty five percent occupancy even at 758 00:43:50,040 --> 00:43:52,360 Speaker 1: their twenty five number. So we're like, all right, just 759 00:43:52,440 --> 00:43:55,000 Speaker 1: which one is it? Is it six ft apart? Is 760 00:43:55,040 --> 00:43:58,120 Speaker 1: it six ft apart or twenty five percent? Or is 761 00:43:58,160 --> 00:44:00,600 Speaker 1: it I can't eat with anybody? I don't And then 762 00:44:00,600 --> 00:44:03,520 Speaker 1: they said another arbitrary where they threw in there you 763 00:44:03,719 --> 00:44:06,839 Speaker 1: have no more than two adults, no more than two 764 00:44:06,840 --> 00:44:12,080 Speaker 1: adults at the same table. So now is it two adults? 765 00:44:12,560 --> 00:44:15,120 Speaker 1: Is it twenty five percent occupancy? Is it six feet apart, 766 00:44:15,560 --> 00:44:16,840 Speaker 1: is that we can't live in the same house on 767 00:44:16,920 --> 00:44:20,279 Speaker 1: which one isn't. I'm trying to figure it out. So 768 00:44:20,719 --> 00:44:22,239 Speaker 1: this is this is the other part of it that 769 00:44:22,280 --> 00:44:25,120 Speaker 1: I try to tell everybody that there there was also 770 00:44:25,360 --> 00:44:28,759 Speaker 1: something of a glee, at least in New York for 771 00:44:28,880 --> 00:44:31,640 Speaker 1: the people that were making these decisions that they were 772 00:44:31,680 --> 00:44:35,759 Speaker 1: really important, all of a sudden, really powerful. And you 773 00:44:35,840 --> 00:44:39,080 Speaker 1: see this from some of the some of the decision 774 00:44:39,160 --> 00:44:41,920 Speaker 1: making that was going on, where they would say things 775 00:44:42,040 --> 00:44:45,160 Speaker 1: like we're going to we're gonna go out there and 776 00:44:45,200 --> 00:44:49,160 Speaker 1: do deterrence enforcement, meaning we're gonna we're gonna pick people 777 00:44:49,440 --> 00:44:52,480 Speaker 1: and nail them because you're not doing enough of what 778 00:44:52,560 --> 00:44:55,640 Speaker 1: we say. I mean, when you're talking about industries, restaurants 779 00:44:55,719 --> 00:44:57,760 Speaker 1: is the one that's most don't but also the hotel industry, 780 00:44:57,960 --> 00:44:59,879 Speaker 1: and they're sending out it in New York City, which 781 00:45:00,239 --> 00:45:02,360 Speaker 1: you know, it's also regionalized that even though this is 782 00:45:02,400 --> 00:45:05,399 Speaker 1: a you know, a show that's on in all fifty states, Um, 783 00:45:06,120 --> 00:45:08,080 Speaker 1: you know, we all know our own. We all know 784 00:45:08,120 --> 00:45:11,720 Speaker 1: our own you know, nightmarish lockdown reality. And in some places, 785 00:45:11,719 --> 00:45:13,120 Speaker 1: I know, it's much worse than it is than others. 786 00:45:13,640 --> 00:45:15,560 Speaker 1: But they would send in New York. They would send 787 00:45:15,600 --> 00:45:19,520 Speaker 1: out sheriff's deputies for the City of New York. People 788 00:45:19,520 --> 00:45:22,239 Speaker 1: didn't I worked for the NYPD. Idn't even heard of 789 00:45:22,239 --> 00:45:25,040 Speaker 1: the Sheriff's department where they come from. They sent out 790 00:45:25,080 --> 00:45:27,560 Speaker 1: some law enforcement agency that has a few hundred people 791 00:45:27,600 --> 00:45:29,040 Speaker 1: that work for it that are part of the sort 792 00:45:29,040 --> 00:45:31,120 Speaker 1: of New York State, but the New York City version 793 00:45:31,120 --> 00:45:33,840 Speaker 1: of the New York State sheriffs. And they were giving 794 00:45:33,880 --> 00:45:39,120 Speaker 1: people enormous fines in restaurants that were struggling to just 795 00:45:39,280 --> 00:45:43,880 Speaker 1: barely keep their doors open, fifteen hundred dollar fines for 796 00:45:44,040 --> 00:45:47,600 Speaker 1: a dropped mask. I don't know if you guys saw this, 797 00:45:47,640 --> 00:45:50,640 Speaker 1: but we i've noticed this. They picked restaurants that would 798 00:45:50,680 --> 00:45:54,400 Speaker 1: get great press for the enforcement. We had restaurants that 799 00:45:54,440 --> 00:45:56,640 Speaker 1: were kind of iconic restaurants that were getting picked on, 800 00:45:56,960 --> 00:45:59,399 Speaker 1: and it's like they decided, Hey, if we can nail 801 00:45:59,440 --> 00:46:01,960 Speaker 1: that to headline, right, if we can go to that 802 00:46:02,200 --> 00:46:04,840 Speaker 1: restaurant that everybody knows, it will get on the news. 803 00:46:05,400 --> 00:46:09,320 Speaker 1: And that's how they picked the restaurant was how famous 804 00:46:09,400 --> 00:46:12,000 Speaker 1: is it, how historic is it, what part of town 805 00:46:12,120 --> 00:46:14,480 Speaker 1: is it in? Do people know that restaurant Is it 806 00:46:14,520 --> 00:46:17,200 Speaker 1: a significant restaurant with a chef that people would know, 807 00:46:17,480 --> 00:46:20,520 Speaker 1: So we get a headline that will come after everyone. 808 00:46:20,560 --> 00:46:21,040 Speaker 1: It's sick.