1 00:00:00,480 --> 00:00:03,240 Speaker 1: This is Buck's first thoughts. The news you need to 2 00:00:03,279 --> 00:00:05,840 Speaker 1: get for 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 before wherever you get 4 00:00:08,560 --> 00:00:13,520 Speaker 1: your podcasts. Now we see who really believes the science. 5 00:00:14,240 --> 00:00:16,840 Speaker 1: For a while now, there have been people running around 6 00:00:16,880 --> 00:00:20,799 Speaker 1: acting like this was a personal calling card. I believe 7 00:00:20,880 --> 00:00:25,720 Speaker 1: the science, and they do whatever Fauci says. Mask up 8 00:00:25,720 --> 00:00:30,080 Speaker 1: between bites. Try to breathe less, Try to only breathe 9 00:00:30,080 --> 00:00:32,560 Speaker 1: out of your mouth or your nose or neither, because 10 00:00:32,560 --> 00:00:34,919 Speaker 1: it'll make you safer. Just hold your breath as long 11 00:00:34,960 --> 00:00:37,920 Speaker 1: as you can. So what if it's uncomfortable. It's about 12 00:00:37,960 --> 00:00:44,200 Speaker 1: the science. And then we see, oh, now that they 13 00:00:44,240 --> 00:00:48,680 Speaker 1: have no more cover from the CDC for their hysteria, 14 00:00:48,760 --> 00:00:55,279 Speaker 1: their neuroses are taking over entirely. They're not changing their 15 00:00:55,280 --> 00:00:59,280 Speaker 1: tune at all. Oh, what a surprise. And we also 16 00:00:59,320 --> 00:01:02,160 Speaker 1: have a Biden illustration that refuses to speak the truth 17 00:01:02,200 --> 00:01:06,080 Speaker 1: to the Democrats in their midst and their supporters. Of course, 18 00:01:06,560 --> 00:01:09,160 Speaker 1: they won't do that. They allow them to continue to 19 00:01:09,160 --> 00:01:10,920 Speaker 1: live in this delusion that if only they listen to 20 00:01:10,920 --> 00:01:14,400 Speaker 1: Fauci forever, everything will be better. And that's true of 21 00:01:14,440 --> 00:01:18,399 Speaker 1: their approach to spending money too. As you well know, 22 00:01:19,200 --> 00:01:23,440 Speaker 1: about twenty percent of all US dollars were created in 23 00:01:23,480 --> 00:01:26,040 Speaker 1: the year twenty twenty. That's right, A lot of people 24 00:01:26,080 --> 00:01:28,399 Speaker 1: don't know that. What do you think the effect of 25 00:01:28,480 --> 00:01:32,640 Speaker 1: all those newly printed dollars will lead to inflation? Right? Well, 26 00:01:32,680 --> 00:01:34,360 Speaker 1: it's certainly not going to lead to the dollar becoming 27 00:01:34,400 --> 00:01:37,480 Speaker 1: more valuable. In the past, people have purchased gold and 28 00:01:37,520 --> 00:01:40,800 Speaker 1: silver as a hedge against inflation. That's because gold and 29 00:01:40,800 --> 00:01:43,440 Speaker 1: silver have increased in value as the purchasing power of 30 00:01:43,440 --> 00:01:46,600 Speaker 1: the dollar declines. Buying real gold and silver, the kind 31 00:01:46,640 --> 00:01:49,120 Speaker 1: you could hold in your hands is much easier than 32 00:01:49,160 --> 00:01:51,920 Speaker 1: you think. You can have it delivered securely and privately 33 00:01:51,960 --> 00:01:54,440 Speaker 1: to your home, or you can even put real gold 34 00:01:54,480 --> 00:01:56,360 Speaker 1: and silver in your ir ray or four O one K. 35 00:01:56,840 --> 00:01:58,760 Speaker 1: If you're concerned at all about the value of the 36 00:01:58,800 --> 00:02:02,000 Speaker 1: dollar continue to decrease or the risk of inflation, you've 37 00:02:02,040 --> 00:02:04,400 Speaker 1: got to call the Oxford Gold Group right now at 38 00:02:04,440 --> 00:02:07,960 Speaker 1: eight three three six hundred gold. The Oxford Gold Group 39 00:02:08,080 --> 00:02:10,720 Speaker 1: is the industry leader in precious medals. They offer real 40 00:02:10,760 --> 00:02:12,680 Speaker 1: gold and silver for the lowest prices, and they have 41 00:02:12,680 --> 00:02:15,080 Speaker 1: a free precious medals investment guide. They can send to you. 42 00:02:15,320 --> 00:02:17,560 Speaker 1: The Oxford Gold Group is who you should call eight 43 00:02:17,639 --> 00:02:21,560 Speaker 1: three three six hundred Gold request they're free Precious Medals 44 00:02:21,600 --> 00:02:24,679 Speaker 1: Investment guide again dot number call right now eight three 45 00:02:24,840 --> 00:02:30,160 Speaker 1: three six hundred Gold. I think that the approach here 46 00:02:30,480 --> 00:02:33,720 Speaker 1: is showing Florida leading the way again, because I think 47 00:02:33,720 --> 00:02:36,200 Speaker 1: there's other states that are probably go in the different direction. 48 00:02:36,600 --> 00:02:39,160 Speaker 1: But here are some of the highlights. The bill ensures 49 00:02:39,160 --> 00:02:41,960 Speaker 1: that neither the state nor local governments can close business 50 00:02:42,040 --> 00:02:44,920 Speaker 1: or keep kids out of in person instruction unless they 51 00:02:45,000 --> 00:02:50,000 Speaker 1: satisfy demanding and continuous justifications. One of the things I 52 00:02:50,000 --> 00:02:52,880 Speaker 1: think has been so problematic about this is that they're 53 00:02:52,880 --> 00:02:55,960 Speaker 1: different policies that have been enacted, particularly in other parts 54 00:02:55,960 --> 00:03:00,160 Speaker 1: of the country, different restrictions or mandates, and they're done, 55 00:03:00,000 --> 00:03:03,800 Speaker 1: and then even when the evidence refutes the effectiveness or 56 00:03:03,840 --> 00:03:07,920 Speaker 1: the need or the justification, forum they continue on and 57 00:03:08,000 --> 00:03:11,440 Speaker 1: sometimes they're even reuct This changes that and make sure 58 00:03:11,480 --> 00:03:14,200 Speaker 1: that people are protected. It also says that any local 59 00:03:14,200 --> 00:03:19,320 Speaker 1: emergency order excluding hurricane emergencies, are capped at seven day increments. 60 00:03:19,520 --> 00:03:21,840 Speaker 1: It may only be extended to a maximum duration of 61 00:03:21,880 --> 00:03:25,160 Speaker 1: forty two days. And most importantly, as governor, I'll have 62 00:03:25,160 --> 00:03:28,040 Speaker 1: the authority to invalidate a local emergency order if it 63 00:03:28,120 --> 00:03:35,640 Speaker 1: unnecessarily restricts individual rights or liberties. Florida fighting back against 64 00:03:35,680 --> 00:03:40,440 Speaker 1: COVID tyranny. God bless RHNDS Santis. This is what we 65 00:03:40,520 --> 00:03:43,320 Speaker 1: need to see. This is how it needs to be. 66 00:03:44,360 --> 00:03:47,560 Speaker 1: No more of what I saw in Texas, where sure 67 00:03:47,680 --> 00:03:51,120 Speaker 1: Governor Abbott got rid of the statewide mask mandate, but 68 00:03:51,440 --> 00:03:55,240 Speaker 1: Austin is still a bunch of leftist lunatics masking up, 69 00:03:55,320 --> 00:03:59,280 Speaker 1: double masking outside. No more of that, at least not 70 00:03:59,360 --> 00:04:04,480 Speaker 1: in Florida, at least not after July first. Nope, vaccine 71 00:04:04,560 --> 00:04:10,160 Speaker 1: passports either taking action now to prevent the continued neurotic 72 00:04:10,280 --> 00:04:14,720 Speaker 1: tyranny of the Fauciites. It has to stop. I've been 73 00:04:14,760 --> 00:04:18,080 Speaker 1: telling you this all along. It will not stop until 74 00:04:18,120 --> 00:04:23,080 Speaker 1: we make it stop. And that's why you see the 75 00:04:23,120 --> 00:04:25,520 Speaker 1: approach in Florida versus say, the approach in New York 76 00:04:25,920 --> 00:04:30,320 Speaker 1: where Governor Cuomo he's telling everybody in a couple of weeks, 77 00:04:30,640 --> 00:04:33,760 Speaker 1: you'll have businesses at full capacity, except they're still going 78 00:04:33,839 --> 00:04:36,840 Speaker 1: to have a six foot distancing rule. Well, what the 79 00:04:36,839 --> 00:04:39,800 Speaker 1: heck is that? That just means that restaurants can't have 80 00:04:39,880 --> 00:04:42,080 Speaker 1: all their tables. That means that you do have de 81 00:04:42,320 --> 00:04:47,320 Speaker 1: facto capacity limits and you're gonna have masking. So what 82 00:04:47,560 --> 00:04:49,919 Speaker 1: really is better, Well, he needs to get people to 83 00:04:49,920 --> 00:04:55,080 Speaker 1: stop thinking about all the sexual harassment and death of 84 00:04:55,160 --> 00:04:58,000 Speaker 1: senior citizens and nursing homes that occurred under his watch 85 00:04:58,080 --> 00:05:01,599 Speaker 1: or as a result of his decision making. So whatever 86 00:05:01,640 --> 00:05:03,719 Speaker 1: he can do now to get the new cycle focused 87 00:05:03,720 --> 00:05:06,800 Speaker 1: on how he's a leader, That's what really matters. Anybody 88 00:05:06,880 --> 00:05:09,120 Speaker 1: talking about what a great job Gavin Newsom has done 89 00:05:09,120 --> 00:05:15,400 Speaker 1: in California, Nope, the Democrat blue states are a mess. 90 00:05:16,480 --> 00:05:20,120 Speaker 1: They don't make sense anymore. What they are up to 91 00:05:20,360 --> 00:05:24,680 Speaker 1: with COVID lockdowns is absurd. Oh, I also want to 92 00:05:24,720 --> 00:05:30,520 Speaker 1: give credit where where it is due. Oklahoma Governor Kevin 93 00:05:30,720 --> 00:05:35,160 Speaker 1: Stitt has said the following play four Well. March fifteenth, 94 00:05:35,200 --> 00:05:38,640 Speaker 1: twenty twenty, I declared a state of emergency to fight 95 00:05:38,680 --> 00:05:42,040 Speaker 1: against COVID nineteen, and over the course of the last year, 96 00:05:42,440 --> 00:05:45,719 Speaker 1: I've issued dozens of executive orders to make sure we 97 00:05:45,839 --> 00:05:50,400 Speaker 1: stayed proactive in our response to this virus. My promise 98 00:05:50,440 --> 00:05:53,679 Speaker 1: has always been to make decisions based on the data 99 00:05:53,720 --> 00:05:57,880 Speaker 1: in our state, not what's happening anywhere else, and here's 100 00:05:57,880 --> 00:06:01,640 Speaker 1: what the data Oklahoma shows. Our seven day average of 101 00:06:01,720 --> 00:06:05,479 Speaker 1: new cases is down ninety four percent from its peak, 102 00:06:06,240 --> 00:06:09,040 Speaker 1: and our new cases per capita are some of the 103 00:06:09,080 --> 00:06:14,880 Speaker 1: lowest in the country. Hospitalizations they're down ninety percent and 104 00:06:15,000 --> 00:06:19,080 Speaker 1: they've been stable for two months. We've administered more than 105 00:06:19,120 --> 00:06:23,039 Speaker 1: two point five million doses of the COVID vaccine and 106 00:06:23,200 --> 00:06:28,839 Speaker 1: anyone who wants one can get one. Because Oklahomans used 107 00:06:28,960 --> 00:06:34,880 Speaker 1: personal responsibility to protect themselves, their families and are most vulnerable. 108 00:06:35,360 --> 00:06:39,520 Speaker 1: The data shows COVID nineteen is no longer in an emergency. 109 00:06:39,720 --> 00:06:44,720 Speaker 1: That's why I'm withdrawing my emergency declaration effective tomorrow Tuesday, 110 00:06:44,800 --> 00:06:50,279 Speaker 1: May fourth. There we go. Notice how it is the 111 00:06:50,400 --> 00:06:55,159 Speaker 1: Republican governors in red states who are looking at the 112 00:06:55,400 --> 00:06:59,640 Speaker 1: actual data in numbers and recognizing that enough is enough. 113 00:06:59,760 --> 00:07:03,240 Speaker 1: It's time to go back to life, time to go 114 00:07:03,279 --> 00:07:06,080 Speaker 1: back to normal. People have had who are at high 115 00:07:06,160 --> 00:07:11,080 Speaker 1: risk plenty of time to get the vaccine. We've gotten 116 00:07:11,120 --> 00:07:15,760 Speaker 1: over seventy percent of seniors vaccinated. People have had opportunities 117 00:07:15,760 --> 00:07:21,000 Speaker 1: to get vaccinated. We cannot hold society hostage until every 118 00:07:21,120 --> 00:07:25,720 Speaker 1: neurotic lib in Brooklyn and Santa Monica and Northwest DC 119 00:07:26,360 --> 00:07:29,600 Speaker 1: feels like it's safe. Does Fauci think it's safe for 120 00:07:29,640 --> 00:07:33,040 Speaker 1: me to go outside? You'll notice you don't see this 121 00:07:33,120 --> 00:07:35,720 Speaker 1: guy auster Home on TV as much as he used to. 122 00:07:35,720 --> 00:07:39,480 Speaker 1: And it's because while he is a lockdowner, he's not 123 00:07:39,600 --> 00:07:41,720 Speaker 1: quite as insane as some of the others. He's not 124 00:07:41,760 --> 00:07:46,520 Speaker 1: a Fauciite. You know, maybe we should consider that. The 125 00:07:47,160 --> 00:07:53,560 Speaker 1: numbers tell us that in anywhere from two weeks to 126 00:07:53,560 --> 00:07:57,640 Speaker 1: two decades we could have a return to normalcy. So 127 00:07:57,680 --> 00:07:59,720 Speaker 1: I think that's the that's the scope of what will 128 00:07:59,760 --> 00:08:03,440 Speaker 1: work went two weeks maybe or twenty years from now. 129 00:08:03,560 --> 00:08:07,920 Speaker 1: You know, your kids, you're really young babies. Maybe when 130 00:08:07,920 --> 00:08:10,840 Speaker 1: they're you know, in their quarter life crisis, they can 131 00:08:10,840 --> 00:08:12,760 Speaker 1: at least say, oh, I could take my mask off 132 00:08:12,800 --> 00:08:16,600 Speaker 1: now you Vouci's on TV every five seconds. The limbs 133 00:08:16,600 --> 00:08:19,360 Speaker 1: are also scared. Oh my gosh. Cauchi will say, both 134 00:08:20,720 --> 00:08:24,040 Speaker 1: Austerholm you see a lot less of it's because he 135 00:08:24,160 --> 00:08:28,240 Speaker 1: sank things like this that go counter the main messaging 136 00:08:28,720 --> 00:08:31,960 Speaker 1: from the Biden White House play ten. So I think 137 00:08:31,960 --> 00:08:33,760 Speaker 1: we still want to be very careful. We still have 138 00:08:33,800 --> 00:08:35,880 Speaker 1: a lot of work to do. But if you're among 139 00:08:36,000 --> 00:08:40,760 Speaker 1: vaccinated people, party hard, party hard, you know, invite people 140 00:08:40,760 --> 00:08:44,520 Speaker 1: over to your house, do family related things, but get vaccinated. 141 00:08:44,559 --> 00:08:47,320 Speaker 1: If there was ever a time to want to incentivize 142 00:08:47,320 --> 00:08:50,079 Speaker 1: people to get vaccinated, it's now, because if you do, 143 00:08:50,240 --> 00:08:53,160 Speaker 1: you can basically protect yourself and have all the kind 144 00:08:53,200 --> 00:08:56,080 Speaker 1: of socialization that you want to do. But if you're 145 00:08:56,080 --> 00:08:59,720 Speaker 1: not vaccinated and you're out in bars and so forth, know, 146 00:09:00,080 --> 00:09:02,520 Speaker 1: you still have a challenge. I've just got done dealing 147 00:09:02,559 --> 00:09:06,160 Speaker 1: with two cases in the last day. Individuals, young healthy 148 00:09:06,160 --> 00:09:08,240 Speaker 1: adults who are in bars who are now the intessive 149 00:09:08,280 --> 00:09:14,160 Speaker 1: carruns here in Minnesota with COVID, get vaccinated, vaccinated, and 150 00:09:14,200 --> 00:09:18,560 Speaker 1: party hardy. I gotta tell you, this is an enormous 151 00:09:18,640 --> 00:09:20,920 Speaker 1: myths from the Biden administration ever talks about, Oh look 152 00:09:20,920 --> 00:09:24,920 Speaker 1: at all the shots and arms. It would be way 153 00:09:25,000 --> 00:09:28,640 Speaker 1: better if people had been told you can go back 154 00:09:28,640 --> 00:09:31,000 Speaker 1: to normal. But then they'd lose all the control and 155 00:09:31,040 --> 00:09:33,160 Speaker 1: the fear and the panic, which is the most important 156 00:09:33,160 --> 00:09:35,440 Speaker 1: thing of all to the Democrats, the control they get 157 00:09:35,480 --> 00:09:38,760 Speaker 1: from this because people would walk around and start living 158 00:09:38,760 --> 00:09:42,920 Speaker 1: their lives normally, and that's how you get back to normal. 159 00:09:43,840 --> 00:09:46,240 Speaker 1: But no, we have to hold we have to hold 160 00:09:46,280 --> 00:09:51,080 Speaker 1: this trump card. Pardon the expression of until we say so, 161 00:09:51,360 --> 00:09:54,360 Speaker 1: you don't get to go back to normal until we 162 00:09:54,480 --> 00:09:59,400 Speaker 1: determine that the numbers are what we need them to be. 163 00:10:00,000 --> 00:10:02,680 Speaker 1: They won't tell you that in advance. And one of 164 00:10:02,679 --> 00:10:05,480 Speaker 1: the reasons that Governor at Santists in Florida has set 165 00:10:05,559 --> 00:10:07,920 Speaker 1: up his executive order the way he has is so 166 00:10:08,000 --> 00:10:12,360 Speaker 1: that mayors can't play the games in Democrats strongholds they 167 00:10:12,400 --> 00:10:14,640 Speaker 1: have been where they say, when we get to X, 168 00:10:14,880 --> 00:10:16,840 Speaker 1: we will give you why. And then we get to 169 00:10:17,040 --> 00:10:20,360 Speaker 1: X in terms of COVID numbers and infections, why doesn't happen? 170 00:10:21,440 --> 00:10:23,160 Speaker 1: They did that to us in New York City at 171 00:10:23,160 --> 00:10:25,360 Speaker 1: the beginning or at the first phase of the pandemic. 172 00:10:25,760 --> 00:10:28,960 Speaker 1: We should have had Jim's open all summer. Basically kept 173 00:10:29,000 --> 00:10:33,040 Speaker 1: him closed, kept him closed why because they felt like it. 174 00:10:33,760 --> 00:10:36,679 Speaker 1: Look at California, you can go to Costco, you can 175 00:10:36,679 --> 00:10:38,839 Speaker 1: go to a weed store. Can you go to church? 176 00:10:38,880 --> 00:10:44,080 Speaker 1: Though California says no, based on what the science, only 177 00:10:44,120 --> 00:10:49,200 Speaker 1: idiots ever believed that California's secular leftist government is hostile 178 00:10:49,240 --> 00:10:53,720 Speaker 1: to people of actual religious faith. But they got away 179 00:10:53,720 --> 00:10:56,559 Speaker 1: with it for a while. They got away with it. 180 00:10:57,679 --> 00:11:00,319 Speaker 1: I mean, I give credit to Megan McKay and over 181 00:11:00,400 --> 00:11:05,120 Speaker 1: on the view, who's pointing out that, Yeah, this whole 182 00:11:05,120 --> 00:11:09,160 Speaker 1: notion that the vaccine's not good enough isn't premised on 183 00:11:09,200 --> 00:11:15,320 Speaker 1: the vaccine's real protective level. It's the neurotic libs want 184 00:11:15,360 --> 00:11:18,560 Speaker 1: to be able to control everybody still, so that's why 185 00:11:18,559 --> 00:11:20,959 Speaker 1: they won't let you live your life after you get 186 00:11:21,000 --> 00:11:24,960 Speaker 1: the vaccine. It is psychotic, as she says Play nineteen, 187 00:11:25,800 --> 00:11:30,040 Speaker 1: the messaging on this is absolute garbage towards conservatives and Republicans, 188 00:11:30,040 --> 00:11:32,680 Speaker 1: and it's getting worse. It's a public health crisis. I 189 00:11:32,720 --> 00:11:37,040 Speaker 1: agree we should all be vaccinated. I myself have my vaccinated. 190 00:11:37,760 --> 00:11:41,600 Speaker 1: I have no problem with vaccines, but the messaging is psychotic. 191 00:11:41,679 --> 00:11:45,480 Speaker 1: And I just want to say, in Brookline, Massachusetts, they 192 00:11:45,559 --> 00:11:48,600 Speaker 1: just rejected in the city the guidance to our masks outdoors. 193 00:11:48,600 --> 00:11:50,439 Speaker 1: So if you live in Brookline, Massachusetts, you have to 194 00:11:50,480 --> 00:11:52,920 Speaker 1: wear mask outdoors. If you live in Florida, the Surgeon 195 00:11:52,960 --> 00:11:54,960 Speaker 1: General says you don't have to wear a mask anywhere. 196 00:11:55,280 --> 00:11:57,760 Speaker 1: And a lot of this feels like it's more about 197 00:11:57,800 --> 00:12:03,280 Speaker 1: control than science. If the is nine effective, which which 198 00:12:03,320 --> 00:12:05,440 Speaker 1: we are told by science and the CDC and all 199 00:12:05,520 --> 00:12:07,360 Speaker 1: the smart people that come on the show, it is 200 00:12:07,760 --> 00:12:10,600 Speaker 1: if the vaccine works, why do we still have to 201 00:12:10,600 --> 00:12:13,040 Speaker 1: wear masks outdoors? Why do we have to wear masks inside? 202 00:12:13,040 --> 00:12:15,360 Speaker 1: And that's also part of the messaging problem, because if 203 00:12:15,360 --> 00:12:17,559 Speaker 1: you get a vaccine and nothing in your life changes, 204 00:12:17,800 --> 00:12:19,520 Speaker 1: and I still have to wear a mask everywhere, and 205 00:12:19,520 --> 00:12:22,319 Speaker 1: people still have to wear masks everywhere, then then there's 206 00:12:22,320 --> 00:12:24,760 Speaker 1: not I'm sorry, but like the way human nature works 207 00:12:24,760 --> 00:12:27,120 Speaker 1: and human beings work is there has to be an 208 00:12:27,120 --> 00:12:30,319 Speaker 1: impetus and a and a reason to get vaccinates to 209 00:12:30,360 --> 00:12:32,920 Speaker 1: get what you want. And I'm horrified by the way 210 00:12:32,920 --> 00:12:35,520 Speaker 1: people are talking to Republicans right now in this way. 211 00:12:35,600 --> 00:12:37,240 Speaker 1: I think we should. I think we should try and 212 00:12:37,320 --> 00:12:41,920 Speaker 1: lead people along instead of saying they're dumb morons in 213 00:12:41,960 --> 00:12:43,920 Speaker 1: the middle of the country that are going to kill everybody. 214 00:12:43,960 --> 00:12:48,480 Speaker 1: It's just not effective. Yep. But you know what it's 215 00:12:48,520 --> 00:12:53,760 Speaker 1: really going on here, the Libs, the Biden administration. They 216 00:12:53,880 --> 00:12:58,280 Speaker 1: are terrified that you who listen to this show are 217 00:12:58,480 --> 00:13:01,800 Speaker 1: going to get your lives back before they've been able 218 00:13:01,800 --> 00:13:06,520 Speaker 1: to fundamentally transform American society. They stay up awake at night, 219 00:13:06,840 --> 00:13:10,440 Speaker 1: deeply concerned about the possibility that you may actually be 220 00:13:10,520 --> 00:13:13,360 Speaker 1: able to even if you haven't gotten vaccinated, just start 221 00:13:13,640 --> 00:13:16,000 Speaker 1: going about your life and you're not going to infect 222 00:13:16,000 --> 00:13:18,720 Speaker 1: and kill at anybody. There's a lot of herd immunity 223 00:13:18,720 --> 00:13:21,199 Speaker 1: already out there on the population, and this is a 224 00:13:21,280 --> 00:13:24,200 Speaker 1: virus with an over ninety nine survival rate as we know, 225 00:13:25,040 --> 00:13:27,680 Speaker 1: and you're just gonna go about living your life. That. 226 00:13:28,280 --> 00:13:32,560 Speaker 1: They despise that notion. They hate that idea. It's not 227 00:13:32,760 --> 00:13:36,199 Speaker 1: okay until it's safe enough for them. When is it 228 00:13:36,240 --> 00:13:39,280 Speaker 1: safe enough? I'll look at Brookline, Massachusetts. Not even the 229 00:13:39,320 --> 00:13:42,960 Speaker 1: CDC is enough for them. It's safe when they feel 230 00:13:43,000 --> 00:13:45,160 Speaker 1: safe because they've been watching a lot of CNN, and 231 00:13:45,240 --> 00:13:47,760 Speaker 1: CNN makes it seem really, really scary to try to 232 00:13:47,760 --> 00:13:50,840 Speaker 1: breathe fresh air without a mask on. That's where we 233 00:13:50,880 --> 00:13:54,080 Speaker 1: are as a society. I told you that this is 234 00:13:54,080 --> 00:13:57,200 Speaker 1: where we were headed. I've told you at every step 235 00:13:57,600 --> 00:14:00,800 Speaker 1: just watch people will cling to their mask even after 236 00:14:00,840 --> 00:14:03,440 Speaker 1: the authorities finally have to relent. And they haven't relented 237 00:14:03,480 --> 00:14:05,040 Speaker 1: on all masks. You know what the truth is, we 238 00:14:05,080 --> 00:14:09,120 Speaker 1: should have no masks for vaccinated people anywhere. I know 239 00:14:09,320 --> 00:14:11,400 Speaker 1: some of you're yelling right now saying back, we shouldn't 240 00:14:11,440 --> 00:14:13,680 Speaker 1: have masks mandated period, and you know that I agree 241 00:14:13,679 --> 00:14:16,560 Speaker 1: with that, but that's a we lost that battle. We 242 00:14:16,679 --> 00:14:19,960 Speaker 1: lost that fight. So now at least can we start 243 00:14:20,040 --> 00:14:22,400 Speaker 1: to win some battles so we don't have to all 244 00:14:22,440 --> 00:14:23,680 Speaker 1: go around So I don't have to go in the 245 00:14:23,760 --> 00:14:27,640 Speaker 1: gym on the treadmill with my mask on like an idiot. 246 00:14:28,640 --> 00:14:31,240 Speaker 1: Otherwise someone will come up the excuse me there, excuse me, 247 00:14:31,640 --> 00:14:35,880 Speaker 1: you're a treadmill. Where's your mask? I feel unsafe. The 248 00:14:35,880 --> 00:14:39,360 Speaker 1: world is not a safe space, Libs, not from viruses, 249 00:14:39,440 --> 00:14:42,960 Speaker 1: not from anything. We are all going to die. Make 250 00:14:43,040 --> 00:14:46,479 Speaker 1: the best use of the time you have, Be purposeful 251 00:14:47,440 --> 00:14:50,640 Speaker 1: and don't be a coward every day. That would be 252 00:14:50,680 --> 00:14:54,160 Speaker 1: my advice for the Libs of Brookline. So we want 253 00:14:54,200 --> 00:14:57,920 Speaker 1: to help. Our administration wants to help. We want to 254 00:14:57,960 --> 00:15:01,720 Speaker 1: pick back up the kind of president Joe Biden started 255 00:15:01,720 --> 00:15:04,640 Speaker 1: when he was vice president. We want to help people 256 00:15:05,000 --> 00:15:08,960 Speaker 1: find hope at home. And so we are focused on 257 00:15:09,000 --> 00:15:14,360 Speaker 1: addressing both the acute factors and the root causes of migration. 258 00:15:15,080 --> 00:15:18,440 Speaker 1: And I believe this is an important distinction. We must 259 00:15:18,600 --> 00:15:24,200 Speaker 1: focus on both. First, the acute factors, the catastrophes that 260 00:15:24,280 --> 00:15:29,200 Speaker 1: are causing people to leave right now, the hurricanes, the pandemic, 261 00:15:29,360 --> 00:15:34,600 Speaker 1: the drought and extreme food insecurity. And then there are 262 00:15:34,640 --> 00:15:39,960 Speaker 1: the longstanding issues, the root causes, and I'm thinking of corruption, 263 00:15:40,400 --> 00:15:45,000 Speaker 1: violence and poverty, the lack of economic opportunity, the lack 264 00:15:45,040 --> 00:15:50,800 Speaker 1: of climate adaptation and climate resilience, the lack of good governance. 265 00:15:51,320 --> 00:15:56,400 Speaker 1: Just this weekend we learned that the Salvadoran Parliament Kamala 266 00:15:56,440 --> 00:16:05,680 Speaker 1: Harris is an intense mediocre public policy official. In any context, 267 00:16:05,720 --> 00:16:09,160 Speaker 1: Kamala Harris is a deeply unimpressive person when she speaks 268 00:16:09,160 --> 00:16:12,560 Speaker 1: about these things. She's the vice president. I don't care. 269 00:16:12,760 --> 00:16:15,040 Speaker 1: Donald Trump was president, and liberal said that he was 270 00:16:15,040 --> 00:16:18,480 Speaker 1: a fascist, Nazi, murderer, you know, rapist. I mean, you know, 271 00:16:18,560 --> 00:16:22,080 Speaker 1: so we get to speak about public officials as we 272 00:16:22,120 --> 00:16:24,680 Speaker 1: see fit, and we get to say the truth about them. 273 00:16:24,960 --> 00:16:28,560 Speaker 1: In this case, Kamala Harris is a really a mediocrity. 274 00:16:29,840 --> 00:16:32,000 Speaker 1: I mean, I think she might be smarter than Joe Biden, 275 00:16:32,960 --> 00:16:36,560 Speaker 1: but I also think that's not saying very much. Climate 276 00:16:36,640 --> 00:16:39,680 Speaker 1: resilience is causing the surge. Let's just take a quick, 277 00:16:40,320 --> 00:16:43,160 Speaker 1: a quick trip into reality land here for a moment. 278 00:16:43,560 --> 00:16:46,960 Speaker 1: Illegal crossings right now at the US Mexico border are 279 00:16:47,000 --> 00:16:51,520 Speaker 1: at a twenty year high last month, or over one 280 00:16:51,640 --> 00:16:57,200 Speaker 1: hundred and seventy thousand illegal aliens taken into custody, and 281 00:16:57,440 --> 00:17:01,680 Speaker 1: about a thousand people a day are gotaways, which is 282 00:17:01,680 --> 00:17:04,320 Speaker 1: the border patrol term for somebody who just they make 283 00:17:04,320 --> 00:17:06,520 Speaker 1: a run for it. Maybe they're in a vehicle, but 284 00:17:06,640 --> 00:17:09,520 Speaker 1: usually they actually run and they made it into the 285 00:17:09,600 --> 00:17:15,120 Speaker 1: US and they're here. A thousand a day, Oh yeah, sure, 286 00:17:15,200 --> 00:17:17,600 Speaker 1: but it's been eleven million illegals in the United States 287 00:17:17,600 --> 00:17:20,520 Speaker 1: for the last twenty years. We got a thousand gotaways 288 00:17:20,520 --> 00:17:23,320 Speaker 1: a day. You think there are a thousand people running 289 00:17:23,320 --> 00:17:25,000 Speaker 1: across our border to the south to go live in 290 00:17:25,040 --> 00:17:28,920 Speaker 1: Honduras to balance out this inflow, I don't think so. 291 00:17:29,480 --> 00:17:33,159 Speaker 1: Why are people leaving the Central American countries to come 292 00:17:33,160 --> 00:17:37,120 Speaker 1: to America Because this is a rich country with rule 293 00:17:37,160 --> 00:17:39,840 Speaker 1: of law. Somewhat Democrats are trying to destroy it, but 294 00:17:39,880 --> 00:17:43,320 Speaker 1: we do still have it and a very generous welfare 295 00:17:43,400 --> 00:17:49,840 Speaker 1: state and economic opportunity. That's why right there are jobs here, 296 00:17:50,400 --> 00:17:54,680 Speaker 1: there is welfare here, there is some safety here. We're 297 00:17:54,840 --> 00:17:59,520 Speaker 1: not going to transform Honduras into a place where people 298 00:17:59,520 --> 00:18:01,480 Speaker 1: are going to say, you know what, if it's a 299 00:18:01,560 --> 00:18:05,440 Speaker 1: choice between this and the United States of America. I'm 300 00:18:05,440 --> 00:18:08,200 Speaker 1: going to ride out this whole Honduras situation, see what's 301 00:18:08,200 --> 00:18:10,720 Speaker 1: going on. If it's easy enough for them to get 302 00:18:10,760 --> 00:18:13,800 Speaker 1: into the US, they're going to keep picking the United States. 303 00:18:14,680 --> 00:18:17,800 Speaker 1: And they don't even put into this analysis kamala as 304 00:18:17,840 --> 00:18:20,480 Speaker 1: the borders are the rest of them that countries from 305 00:18:20,480 --> 00:18:23,919 Speaker 1: all over the world. Have people coming to Mexico across 306 00:18:23,960 --> 00:18:27,000 Speaker 1: the border legally right now from Cuba and China and 307 00:18:27,000 --> 00:18:31,439 Speaker 1: Sri Lanka and Bangladesh and Thailand and Venezuela and you 308 00:18:31,560 --> 00:18:36,119 Speaker 1: name it, coming from all over the world. Why Because 309 00:18:36,160 --> 00:18:40,320 Speaker 1: America is a very wealthy country where people are relatively safe, 310 00:18:41,080 --> 00:18:44,640 Speaker 1: and there is there's a lot of generous welfare benefits 311 00:18:44,640 --> 00:18:47,720 Speaker 1: here for people. You say, oh, but you don't get 312 00:18:47,760 --> 00:18:51,200 Speaker 1: that if you're an illegal. Really, if you get in statuition, 313 00:18:52,600 --> 00:18:54,400 Speaker 1: you get direct payments. If you live in New York 314 00:18:54,480 --> 00:18:57,680 Speaker 1: during COVID, if you have a child here, then that 315 00:18:57,800 --> 00:19:00,800 Speaker 1: child gets all the benefits of citizenship and everything else, 316 00:19:00,800 --> 00:19:03,320 Speaker 1: and you're a part of that household. There's also a 317 00:19:03,320 --> 00:19:05,639 Speaker 1: lot of benefits. Fraud that goes on, which is almost 318 00:19:05,640 --> 00:19:09,280 Speaker 1: never prosecuted unless somebody's getting rich off of it. Doing 319 00:19:09,280 --> 00:19:12,760 Speaker 1: really egregious fraud, you know, claiming benefits for ten people. 320 00:19:13,080 --> 00:19:16,000 Speaker 1: But if you're just doing benefits fraud as illegal almost 321 00:19:16,119 --> 00:19:18,320 Speaker 1: never prosecuted in this country, and we also have no 322 00:19:18,400 --> 00:19:23,399 Speaker 1: real sense of how often that even happens. So, yeah, 323 00:19:23,440 --> 00:19:26,720 Speaker 1: that's why people are coming here. Commalas still can't see 324 00:19:26,760 --> 00:19:29,760 Speaker 1: them to get to the border though, still can't seem 325 00:19:29,760 --> 00:19:32,080 Speaker 1: to deal with this. And notice that the way they 326 00:19:32,119 --> 00:19:37,399 Speaker 1: frame this issue, we're supposed to fix other countries to 327 00:19:37,480 --> 00:19:42,040 Speaker 1: get people to stop coming into our country illegally. That's 328 00:19:42,440 --> 00:19:46,480 Speaker 1: not going to change this. If we want people to 329 00:19:46,520 --> 00:19:50,760 Speaker 1: stop coming into America illegally, we have to convince them 330 00:19:51,040 --> 00:19:54,200 Speaker 1: it's not worth the effort and the risk to come 331 00:19:54,240 --> 00:20:00,800 Speaker 1: to America illegally. Consequences you come, you don't get to 332 00:20:00,880 --> 00:20:05,520 Speaker 1: stay until that is the calculation. This continues on all 333 00:20:05,640 --> 00:20:13,320 Speaker 1: this nonsense about we're gonna do more for root causes. Yeah, 334 00:20:13,400 --> 00:20:15,480 Speaker 1: good luck with that. Honduras, as one of the highest 335 00:20:15,520 --> 00:20:18,480 Speaker 1: murder rates in the world, is intensely corrupted and very poor. 336 00:20:19,560 --> 00:20:21,720 Speaker 1: We're gonna turn that around, sure we are. All the 337 00:20:21,760 --> 00:20:24,160 Speaker 1: Biden administration is going to turn that around. It's a joke. 338 00:20:25,359 --> 00:20:27,480 Speaker 1: But this is just the talking point to make it 339 00:20:27,520 --> 00:20:30,280 Speaker 1: seem like they're doing something when really, at the end 340 00:20:30,280 --> 00:20:33,560 Speaker 1: of the day, they don't want this to end. They 341 00:20:33,640 --> 00:20:38,960 Speaker 1: just want to control it illegals our future Democrat voters. 342 00:20:39,200 --> 00:20:42,399 Speaker 1: That's the way the Biden administration, the Democrat Party sees 343 00:20:42,440 --> 00:20:46,920 Speaker 1: this and anything else is nonsense. If you grew up 344 00:20:47,000 --> 00:20:49,240 Speaker 1: in the nineties, you may be familiar with an actress 345 00:20:49,280 --> 00:20:53,479 Speaker 1: named Elissa Milano. I once had the misfortune of interviewing her. 346 00:20:53,560 --> 00:20:56,320 Speaker 1: She did not realize I was a conservative, and I 347 00:20:56,480 --> 00:20:59,120 Speaker 1: realized that she was quite dumb by asking her very 348 00:20:59,119 --> 00:21:02,280 Speaker 1: straightforward question on the political issues that she thinks she 349 00:21:02,280 --> 00:21:04,760 Speaker 1: should be weighing in on with the platform that she has. 350 00:21:05,720 --> 00:21:10,400 Speaker 1: But she is speaking in this clip on that went 351 00:21:10,960 --> 00:21:13,840 Speaker 1: viral on TikTok and a young black woman who goes 352 00:21:13,880 --> 00:21:16,960 Speaker 1: by the handle this is savvy response. So what you're 353 00:21:17,000 --> 00:21:24,080 Speaker 1: gonna hear is Alissa Milano, white liberal, multi millionaire. I've 354 00:21:24,080 --> 00:21:28,640 Speaker 1: been to her mansion, yes, in her gated community just 355 00:21:28,760 --> 00:21:32,879 Speaker 1: north of Los Angeles. But she really understands the plight 356 00:21:33,000 --> 00:21:36,119 Speaker 1: of the black community. She really understands what it is 357 00:21:36,160 --> 00:21:38,800 Speaker 1: to be black in America today. If you listen to 358 00:21:38,840 --> 00:21:41,879 Speaker 1: the way she talks about this, Yeah, but then a 359 00:21:42,000 --> 00:21:47,640 Speaker 1: young black woman responds to her, responds to a Lissa 360 00:21:47,680 --> 00:21:51,199 Speaker 1: Milano and this is this is savvy again? Is her handle? 361 00:21:51,359 --> 00:21:54,000 Speaker 1: I want to hear? Is you're gonna hear Alissa Milano 362 00:21:54,240 --> 00:21:56,600 Speaker 1: on what it's like for black men, and then this 363 00:21:56,640 --> 00:22:00,240 Speaker 1: black woman responding immediately to her on social media. Play 364 00:22:00,280 --> 00:22:02,680 Speaker 1: one for those of us who are not black men. 365 00:22:03,119 --> 00:22:06,200 Speaker 1: Imagine watching the news and seeing how people imagine being 366 00:22:06,240 --> 00:22:08,320 Speaker 1: a black man and being told by some white lady 367 00:22:08,320 --> 00:22:11,000 Speaker 1: with a microphone that you and the criminal on TV 368 00:22:11,520 --> 00:22:13,920 Speaker 1: are one and the same because you look alike. Imagine 369 00:22:13,960 --> 00:22:16,280 Speaker 1: being told by society that white people can be all 370 00:22:16,320 --> 00:22:17,919 Speaker 1: that they can be, but you, with a black man, 371 00:22:18,000 --> 00:22:20,800 Speaker 1: the content of your character is completely irrelevant. You are 372 00:22:20,840 --> 00:22:22,359 Speaker 1: the color of your skin and that is all you 373 00:22:22,400 --> 00:22:24,680 Speaker 1: will ever be. Imagine being told you can't figure out 374 00:22:24,720 --> 00:22:26,440 Speaker 1: how to vote because of the color of your skin. 375 00:22:26,680 --> 00:22:29,719 Speaker 1: Socioeconomics affects everyone, but apparently you're not as smart as 376 00:22:29,720 --> 00:22:32,480 Speaker 1: the poorest white person. Lady, I don't want to hate you. 377 00:22:32,720 --> 00:22:34,919 Speaker 1: I'm a nineties skin I grew up with you, so 378 00:22:34,960 --> 00:22:37,280 Speaker 1: I know you're very talented. I understand your heart is 379 00:22:37,320 --> 00:22:39,320 Speaker 1: in the right place, but you are everything you preach 380 00:22:39,359 --> 00:22:42,040 Speaker 1: against You're not helping. You're making things worse. You're causing 381 00:22:42,040 --> 00:22:44,719 Speaker 1: more division, You're causing more fear. Statistically speaking, I am 382 00:22:44,720 --> 00:22:46,440 Speaker 1: more likely to be shot and killed by my black, 383 00:22:46,480 --> 00:22:48,919 Speaker 1: elderly neighbor across the streets and the cop who patrols 384 00:22:48,960 --> 00:22:52,240 Speaker 1: my neighborhood. Statistically speaking, homicide by cop is very rare. 385 00:22:52,240 --> 00:22:54,280 Speaker 1: But people like you find power in fear, so you 386 00:22:54,359 --> 00:22:56,240 Speaker 1: keep it front page news. You don't have to be 387 00:22:56,280 --> 00:23:03,200 Speaker 1: a white supremacist. You can be better. Wow. Some harsh 388 00:23:03,200 --> 00:23:07,439 Speaker 1: words for Alissa Milano from This is Savvy. Now. Alyssa 389 00:23:07,440 --> 00:23:11,480 Speaker 1: Milano is a very classic I mean, it's she's Nancy 390 00:23:11,520 --> 00:23:18,479 Speaker 1: Pelosi but forty years younger. But she's a a white 391 00:23:18,560 --> 00:23:24,520 Speaker 1: liberal who imbibes all the BLM slogans, who who believes 392 00:23:24,600 --> 00:23:31,760 Speaker 1: all the critical race theory nonsense, and gets called out 393 00:23:31,800 --> 00:23:35,679 Speaker 1: by somebody here who is black, who's saying, think about 394 00:23:35,800 --> 00:23:38,120 Speaker 1: the way the liberal mind is working with so many 395 00:23:38,160 --> 00:23:42,480 Speaker 1: of these issues. There's a there's a real sense of 396 00:23:42,800 --> 00:23:46,560 Speaker 1: a constant lowering of expectations in the discourse that that 397 00:23:46,720 --> 00:23:50,000 Speaker 1: liberals are engaged in. They're always suggesting that the African 398 00:23:50,040 --> 00:23:52,560 Speaker 1: American community, members of it aren't going to be able 399 00:23:52,600 --> 00:23:55,120 Speaker 1: to compete unless white liberals are able to help them out. 400 00:23:55,520 --> 00:23:59,480 Speaker 1: And it's it's discouraging that we have a country where 401 00:23:59,480 --> 00:24:04,280 Speaker 1: there's still so little ability to have honest conversations about 402 00:24:04,400 --> 00:24:06,879 Speaker 1: race relations and that are first and foremost rooted in 403 00:24:06,920 --> 00:24:10,520 Speaker 1: the fact that we do get along well as a country. 404 00:24:11,640 --> 00:24:14,520 Speaker 1: There is not some place where there is greater diversity 405 00:24:14,640 --> 00:24:21,000 Speaker 1: and greater decency and you know, fraternalism so to speak, 406 00:24:21,480 --> 00:24:26,200 Speaker 1: just just friendliness between people from all over the world, 407 00:24:26,200 --> 00:24:28,399 Speaker 1: all different kinds of backgrounds, I mean America. Instead of 408 00:24:28,640 --> 00:24:32,240 Speaker 1: focusing on how amazing this place is in that regard 409 00:24:32,600 --> 00:24:35,000 Speaker 1: compared to so many countries all over the rest of 410 00:24:35,000 --> 00:24:37,800 Speaker 1: the world, we're always told that's not that even, that 411 00:24:37,800 --> 00:24:39,600 Speaker 1: we're not good enough, that we're awful, that we're bad. 412 00:24:40,680 --> 00:24:43,560 Speaker 1: And then there's also the way the narrative only speaks 413 00:24:43,600 --> 00:24:47,240 Speaker 1: about certain aspects of race relations in this country and 414 00:24:47,359 --> 00:24:51,679 Speaker 1: leaves others completely aside. I mean, there is this phenomenon 415 00:24:51,720 --> 00:24:54,000 Speaker 1: that you keep seeing in New York City, especially as 416 00:24:54,000 --> 00:24:57,720 Speaker 1: we have a crime rate that is spiking substantially, where 417 00:24:57,760 --> 00:25:01,959 Speaker 1: you'll see a report about a you know, man in 418 00:25:02,600 --> 00:25:09,360 Speaker 1: hoodie punches elderly Asian lady in the face and you say, okay, well, 419 00:25:09,359 --> 00:25:11,240 Speaker 1: this is a public safety issue. Do we get a 420 00:25:11,240 --> 00:25:15,080 Speaker 1: description of the man in the hoodie. Do we get 421 00:25:15,119 --> 00:25:18,639 Speaker 1: a description of the person that you know sucker punched 422 00:25:18,640 --> 00:25:21,680 Speaker 1: an old lady on the subway, so that we can 423 00:25:21,760 --> 00:25:25,760 Speaker 1: know and try to maybe find him. No, now, that's 424 00:25:26,800 --> 00:25:30,280 Speaker 1: that's playing into a stereotype. They'll tell you. I assure you, 425 00:25:30,280 --> 00:25:33,760 Speaker 1: if it's a guy in a maga hat who is 426 00:25:33,800 --> 00:25:37,960 Speaker 1: a white guy, you're going to hear in detail everything 427 00:25:38,000 --> 00:25:40,880 Speaker 1: he's ever posted on social media and make sure that 428 00:25:41,040 --> 00:25:43,760 Speaker 1: this guy is found and they throw the book at him, 429 00:25:43,800 --> 00:25:46,560 Speaker 1: and you know, he loses his job and it's humiliated 430 00:25:46,640 --> 00:25:49,680 Speaker 1: and his family disowns him and all that. But it's 431 00:25:49,720 --> 00:25:52,960 Speaker 1: all about the narrative. On the other side of the equation, 432 00:25:53,000 --> 00:25:55,359 Speaker 1: if it is a minority involved in an incident, the 433 00:25:55,440 --> 00:25:58,840 Speaker 1: press bends over backwards to make sure that they're not 434 00:25:59,080 --> 00:26:02,879 Speaker 1: playing into armful stereotypes. Well, I'd be curious to know 435 00:26:03,040 --> 00:26:07,080 Speaker 1: what is the stereotype here? What are we seeing in 436 00:26:07,119 --> 00:26:12,120 Speaker 1: the race relationship here? Where in Los Angeles County a 437 00:26:12,240 --> 00:26:14,480 Speaker 1: driver is pulled over for a very I've been pulled 438 00:26:14,480 --> 00:26:16,080 Speaker 1: over for this too, So before we go, Oh, it's 439 00:26:16,080 --> 00:26:19,000 Speaker 1: so racist that this, a black woman is pulled over 440 00:26:19,520 --> 00:26:21,720 Speaker 1: for driving and being on her cell phone. Now, I 441 00:26:21,760 --> 00:26:24,399 Speaker 1: will admit I've been pulled over for this myself once 442 00:26:25,119 --> 00:26:28,360 Speaker 1: and I talked. I talked my way out of it, 443 00:26:28,840 --> 00:26:31,560 Speaker 1: but because I was very polite to the officer, and 444 00:26:32,000 --> 00:26:33,560 Speaker 1: I don't even know what I sent, but I talked 445 00:26:33,560 --> 00:26:37,000 Speaker 1: my way out of it. And I will admit that 446 00:26:37,040 --> 00:26:41,560 Speaker 1: I think it's a pretty annoying violation to get I 447 00:26:41,680 --> 00:26:44,080 Speaker 1: do know that distracted driving it's very dangerous, but I 448 00:26:44,119 --> 00:26:46,040 Speaker 1: also know that there's a lot of ways to be 449 00:26:46,080 --> 00:26:48,640 Speaker 1: distracted in a car, so that you know whether it's 450 00:26:48,640 --> 00:26:51,800 Speaker 1: your cell phone or a million other things. So I think, Look, 451 00:26:51,800 --> 00:26:54,600 Speaker 1: I agree that it's a little bit of a of 452 00:26:54,600 --> 00:26:57,159 Speaker 1: a marginal violation to pull somebody over for it, but 453 00:26:57,160 --> 00:26:59,280 Speaker 1: but it is the law, and I've been pulled over 454 00:26:59,359 --> 00:27:01,960 Speaker 1: for it. I'm a guy. People get pulled over for this. 455 00:27:03,040 --> 00:27:06,600 Speaker 1: And so this, this black female is pulled over by 456 00:27:06,720 --> 00:27:10,399 Speaker 1: a Latino. I know they like to say latin X 457 00:27:10,480 --> 00:27:12,760 Speaker 1: these days in the left, but no one uses that term. 458 00:27:13,320 --> 00:27:17,639 Speaker 1: A Latino cop pulls her over, and I want you 459 00:27:17,720 --> 00:27:20,199 Speaker 1: to hear the exchange. I want you to hear. And 460 00:27:20,240 --> 00:27:24,240 Speaker 1: this woman is very you know, she's a she's a teacher, 461 00:27:24,400 --> 00:27:30,919 Speaker 1: she says, and she is very smug and condescending and 462 00:27:31,760 --> 00:27:36,000 Speaker 1: racist if you listen to what she says. But it 463 00:27:36,040 --> 00:27:38,480 Speaker 1: won't be described that way by the left because she's 464 00:27:38,480 --> 00:27:43,159 Speaker 1: a black female. How could she be racist? Well, I 465 00:27:43,200 --> 00:27:49,359 Speaker 1: think you'll get a sense of that. Play five. I 466 00:27:49,520 --> 00:27:52,240 Speaker 1: was going at thirty games yes you are, ma'am, good morning, 467 00:27:52,320 --> 00:27:54,520 Speaker 1: which is and the speed limit is forty and I 468 00:27:54,560 --> 00:27:57,320 Speaker 1: was going thirty eight, So why are you harassing? You're correct? 469 00:27:57,400 --> 00:28:00,240 Speaker 1: I pulled you over because you're a murderer yet order 470 00:28:00,280 --> 00:28:03,159 Speaker 1: to record, because you can't be on your cell phone 471 00:28:03,160 --> 00:28:05,800 Speaker 1: while you're driving phone, I was recording you because you 472 00:28:06,240 --> 00:28:09,040 Speaker 1: can't use your cell phone while you're recording. You may 473 00:28:09,119 --> 00:28:13,800 Speaker 1: have your driver's license, it's it's at my apartment. What's 474 00:28:13,840 --> 00:28:17,040 Speaker 1: your apartment? It's at my home. I'm just taking my center. 475 00:28:17,440 --> 00:28:19,480 Speaker 1: Do you have Do you have your driver's license? I 476 00:28:20,520 --> 00:28:22,879 Speaker 1: mistakenly left it at home. Do you have a picture 477 00:28:22,880 --> 00:28:25,000 Speaker 1: of your driver's license? Yes? I do, may have it? 478 00:28:26,840 --> 00:28:30,160 Speaker 1: And can you call your supervisor please? I already did. 479 00:28:30,200 --> 00:28:34,840 Speaker 1: He's on his way. Could you're a murderer okay, and 480 00:28:34,960 --> 00:28:37,919 Speaker 1: so you're giving it a cell phone taken? Is that 481 00:28:38,000 --> 00:28:41,200 Speaker 1: why you're harassing me? It's not harassment. I am enforcing 482 00:28:41,240 --> 00:28:43,520 Speaker 1: the lite. I have a ride to and record the 483 00:28:43,560 --> 00:28:46,280 Speaker 1: police when they're harassing me by all means. But you 484 00:28:46,320 --> 00:28:48,560 Speaker 1: can't do it while you're driving. I was, I can, 485 00:28:48,720 --> 00:28:52,320 Speaker 1: I wasn't. Doesn't texting or none of that? Do you have? 486 00:28:52,360 --> 00:28:54,000 Speaker 1: You had a picture of me and made me think 487 00:28:54,000 --> 00:28:56,000 Speaker 1: you were going to murder me? Okay, Well, I'm sorry 488 00:28:56,040 --> 00:28:58,360 Speaker 1: you feel that way. Well you're that's not just a feeling. 489 00:28:58,400 --> 00:29:00,880 Speaker 1: You're a murderer. Okay, can you zoom in on that 490 00:29:00,920 --> 00:29:04,560 Speaker 1: form me day, thank you? And I'm perfect land legal 491 00:29:05,000 --> 00:29:09,320 Speaker 1: and I'm a teacher, So then congratulations, you're a murderer. 492 00:29:11,080 --> 00:29:14,960 Speaker 1: I'm a teacher. You're a murderer, She says to the 493 00:29:15,040 --> 00:29:20,440 Speaker 1: Los Angeles County Police officer over and over again. Where 494 00:29:20,480 --> 00:29:25,080 Speaker 1: would she get the idea? I wonder where would this 495 00:29:25,720 --> 00:29:29,840 Speaker 1: black female teacher get the idea that a random law 496 00:29:29,920 --> 00:29:33,640 Speaker 1: enforcement offer that pulls her over is a quote murderer. 497 00:29:34,160 --> 00:29:36,360 Speaker 1: Oh I don't know from the slanders and the lies 498 00:29:36,560 --> 00:29:39,880 Speaker 1: of the BLM movement that is rooted in the belief 499 00:29:40,120 --> 00:29:44,880 Speaker 1: that cops are systematically murdering unarmed black men in this country, right, 500 00:29:45,400 --> 00:29:48,920 Speaker 1: So really, she's just reacting to BLM rhetoric here, which 501 00:29:49,000 --> 00:29:52,640 Speaker 1: is heinous and wrong. But you see it for those 502 00:29:52,640 --> 00:29:54,920 Speaker 1: who say, oh buck it, it's not about BLM, is 503 00:29:54,920 --> 00:29:58,400 Speaker 1: not about hating cops. A wrong. It is about hating cops. 504 00:29:59,680 --> 00:30:02,440 Speaker 1: We see it all the time, see it all the time. 505 00:30:02,520 --> 00:30:05,280 Speaker 1: This woman, she knows she's being recorded. She's not hiding 506 00:30:05,320 --> 00:30:09,000 Speaker 1: any of this. She thinks she's a hero for calling 507 00:30:09,000 --> 00:30:10,920 Speaker 1: this copper murderer because he pulled her over for a 508 00:30:10,960 --> 00:30:14,240 Speaker 1: cell phone violation and it's probably getting what a fifty 509 00:30:14,240 --> 00:30:20,280 Speaker 1: dollars ticket or something. I mean, it's, you know, come on, unbelievable. 510 00:30:21,800 --> 00:30:24,600 Speaker 1: And you know I'm a teacher. You need just tell 511 00:30:24,640 --> 00:30:28,200 Speaker 1: I mean this. I assure you, this woman watches a 512 00:30:28,200 --> 00:30:32,920 Speaker 1: lot of MSNBC. I assure you that she has completely 513 00:30:33,560 --> 00:30:37,959 Speaker 1: taken in the lib narrative of victimization and cops are 514 00:30:38,080 --> 00:30:41,640 Speaker 1: racist and teachers are all heroes. Look, there are good teachers, 515 00:30:41,680 --> 00:30:43,920 Speaker 1: and there are a lot of bad teachers. There are 516 00:30:43,920 --> 00:30:46,400 Speaker 1: hard working teachers that make a big difference in kids' lives. 517 00:30:46,640 --> 00:30:50,240 Speaker 1: There are lazy, worthless teachers who rely on the unions 518 00:30:50,480 --> 00:30:53,760 Speaker 1: to protect them from having to actually do their gosh 519 00:30:53,840 --> 00:31:02,800 Speaker 1: darn jobs. But yeah, cops are murderer, she says, play sex. 520 00:31:04,160 --> 00:31:06,040 Speaker 1: What's your last name? I can't see that there? Well, 521 00:31:06,080 --> 00:31:10,400 Speaker 1: here you go shaking zoom on that floor because you're 522 00:31:10,440 --> 00:31:13,480 Speaker 1: scaring me. You're threatening to kill me and my son. 523 00:31:13,640 --> 00:31:15,920 Speaker 1: Can you give me? Okay, you don't tell you what? 524 00:31:16,040 --> 00:31:18,360 Speaker 1: You keep smiling. You're on camera. If you're you're trying 525 00:31:18,400 --> 00:31:20,920 Speaker 1: to threaten to kill me, I'm smiling. You're the one 526 00:31:20,960 --> 00:31:23,040 Speaker 1: who's hold that still, I can't see that. Is this 527 00:31:23,120 --> 00:31:25,720 Speaker 1: your car? Yes? It is? And you're trying to say 528 00:31:25,760 --> 00:31:29,440 Speaker 1: I stole my own car because you're jealous. Yeah, I 529 00:31:29,440 --> 00:31:32,040 Speaker 1: don't think so. Are you away from me right here? Okay, 530 00:31:32,160 --> 00:31:36,160 Speaker 1: you're jealous? Wait, patient, all you need is your signature. 531 00:31:36,440 --> 00:31:38,520 Speaker 1: He's only sighting you for using your cell phone while 532 00:31:38,520 --> 00:31:43,120 Speaker 1: you're driving. That's it for him being a Mexican racist. 533 00:31:43,240 --> 00:31:46,600 Speaker 1: What is that name? Gas on the citation man? Here 534 00:31:46,640 --> 00:31:50,400 Speaker 1: you go, Mexican racist. You're always going to be a Mexican. 535 00:31:50,480 --> 00:31:53,440 Speaker 1: You'll never be white, you know that, right, You'll never 536 00:31:53,520 --> 00:31:55,320 Speaker 1: be white, which is what you really want to be. 537 00:31:57,560 --> 00:32:01,840 Speaker 1: You want to be white back. You'll always be Mexican. 538 00:32:01,960 --> 00:32:04,240 Speaker 1: She says, you'll never be white, which is what you 539 00:32:04,360 --> 00:32:10,840 Speaker 1: really want to be, because he's a cop. This woman's 540 00:32:10,840 --> 00:32:14,280 Speaker 1: a racist. She's a black female and she's a racist. 541 00:32:14,600 --> 00:32:19,480 Speaker 1: That's what you're hearing. She is sneering and snide and 542 00:32:19,760 --> 00:32:24,360 Speaker 1: vicious to a cop on racial issues and demeaning him 543 00:32:24,720 --> 00:32:29,320 Speaker 1: for being a Mexican or you know, Latino, demeaning him 544 00:32:29,600 --> 00:32:32,200 Speaker 1: on video. And she knows she won't get fired from 545 00:32:32,200 --> 00:32:34,120 Speaker 1: her job. She won't. There will be no consequences that 546 00:32:34,200 --> 00:32:37,360 Speaker 1: you can say whatever she wants. Oh, but it's so hard, 547 00:32:37,440 --> 00:32:40,440 Speaker 1: she's she's such a victim. I'm sure, right. I think 548 00:32:40,480 --> 00:32:43,800 Speaker 1: she's driving in like a luxury German. I can't can't 549 00:32:43,800 --> 00:32:46,400 Speaker 1: remember if it was a BMW or Mercedes. And it's 550 00:32:46,400 --> 00:32:48,840 Speaker 1: good to be a teacher these days. Oh it was 551 00:32:48,840 --> 00:32:51,760 Speaker 1: a Mercedes. Yeah, she's driving around in a Mercedes. She's 552 00:32:51,760 --> 00:32:55,280 Speaker 1: a teacher in a Mercedes. Okay, teachers don't make enough money, 553 00:32:55,320 --> 00:32:59,120 Speaker 1: they work so hard. Okay, sure, but so you have 554 00:32:59,120 --> 00:33:03,800 Speaker 1: a teacher, black female teacher in a Mercedes, demeaning a 555 00:33:04,240 --> 00:33:09,560 Speaker 1: Latino cop as being jealous of her car, being a murderer, 556 00:33:09,800 --> 00:33:12,160 Speaker 1: and never being able to be white. What she says, 557 00:33:12,280 --> 00:33:18,200 Speaker 1: is his real aspiration? Disgusting? Disgusting. Do you think that 558 00:33:19,040 --> 00:33:21,680 Speaker 1: she will actually be held to account for this? Who's 559 00:33:21,720 --> 00:33:26,840 Speaker 1: the one who really has privilege in this situation? Look 560 00:33:26,880 --> 00:33:29,880 Speaker 1: at look at the way this lines up. Who has privilege, 561 00:33:30,680 --> 00:33:34,720 Speaker 1: who is in a position of power and social authority. 562 00:33:35,760 --> 00:33:41,240 Speaker 1: This woman feels no compunction whatsoever about acting like a heinous, evil, 563 00:33:42,000 --> 00:33:46,719 Speaker 1: awful person because she's a black female in a Mercedes 564 00:33:46,880 --> 00:33:49,600 Speaker 1: who's been pulled over by a cop, and therefore she 565 00:33:49,640 --> 00:33:53,040 Speaker 1: can call him a murderer and say that he doesn't 566 00:33:52,880 --> 00:33:55,320 Speaker 1: that he demeans his own race by being a law 567 00:33:55,400 --> 00:33:59,560 Speaker 1: enforcement officer. Do you think she'll suffer any consequences whatsoever. No, 568 00:33:59,640 --> 00:34:01,680 Speaker 1: she thinks she's a hero. So do the libs, so 569 00:34:01,760 --> 00:34:05,160 Speaker 1: do the leftists. This is a real window into what 570 00:34:05,240 --> 00:34:09,000 Speaker 1: race relations are actually like. Sometimes in this country. There's 571 00:34:09,000 --> 00:34:10,560 Speaker 1: a lot of racism that has nothing to do with 572 00:34:10,560 --> 00:34:14,719 Speaker 1: white people. Yeah, that's the truth. Just ask any of 573 00:34:14,719 --> 00:34:17,040 Speaker 1: the people who have been attacked who are Asian these 574 00:34:17,120 --> 00:34:20,160 Speaker 1: days and who are they generally being attacked by. It's 575 00:34:20,200 --> 00:34:23,400 Speaker 1: not guys in maga hats who are Trump supporters. But 576 00:34:23,440 --> 00:34:25,359 Speaker 1: the media doesn't want you to ever think about that 577 00:34:25,960 --> 00:34:30,040 Speaker 1: there's a lot of racism and racial animosity that exists 578 00:34:30,040 --> 00:34:33,960 Speaker 1: that has nothing to do with white supremacy. But you've 579 00:34:33,960 --> 00:34:37,080 Speaker 1: got to find the truth yourself. Can't count on the 580 00:34:37,120 --> 00:34:40,520 Speaker 1: media to tell you. They're pushing a narrative. You see, 581 00:34:40,680 --> 00:34:43,160 Speaker 1: and the woman in that car and that Mercedes is 582 00:34:43,200 --> 00:34:47,160 Speaker 1: basically spitting on that officer and his heritage and calling 583 00:34:47,200 --> 00:34:50,279 Speaker 1: him a murderer. She knows what the narrative is and 584 00:34:50,360 --> 00:34:54,239 Speaker 1: she's protected by it. This country is in a crisis 585 00:34:54,840 --> 00:34:59,480 Speaker 1: that is all about identity, and there is a wager 586 00:35:00,000 --> 00:35:04,719 Speaker 1: being made on the right that they can get enough 587 00:35:05,080 --> 00:35:10,160 Speaker 1: white people to believe that they are targeted, that there's 588 00:35:10,200 --> 00:35:16,759 Speaker 1: been a perverse culture shift and that they are being replaced. True. No, 589 00:35:17,440 --> 00:35:21,640 Speaker 1: but it's not about facts. It's about I think people 590 00:35:21,760 --> 00:35:25,120 Speaker 1: know if that were true, then that party wouldn't be 591 00:35:25,160 --> 00:35:28,839 Speaker 1: as formidable and the Democrats wouldn't be as vulnerable as 592 00:35:28,880 --> 00:35:32,879 Speaker 1: they are in the upcoming No, it's people already know that, 593 00:35:33,000 --> 00:35:36,080 Speaker 1: and the people in the Republican Party know that that's 594 00:35:36,920 --> 00:35:39,839 Speaker 1: sent of them. That's why they haven't insurrected. Siden didn't win. 595 00:35:40,040 --> 00:35:44,840 Speaker 1: You haven't insurrection because people believe that America was founded 596 00:35:45,000 --> 00:35:47,480 Speaker 1: in the image of white people, and that the country 597 00:35:47,560 --> 00:35:50,000 Speaker 1: was built in their image and therefore the election to 598 00:35:50,160 --> 00:35:52,239 Speaker 1: go their way. It's the same thing that Rix and 599 00:35:52,360 --> 00:35:56,239 Speaker 1: Torum is saying about Native Americans and the lack of 600 00:35:56,719 --> 00:35:59,759 Speaker 1: the contribution would have It's the same thing here. You 601 00:35:59,800 --> 00:36:07,320 Speaker 1: have two multi millionaire morons who are trying to push 602 00:36:07,400 --> 00:36:12,120 Speaker 1: forward this narrative that the Republican Party is a white 603 00:36:12,160 --> 00:36:16,959 Speaker 1: nationalist party and pushed for the insurrection. And as we've 604 00:36:16,960 --> 00:36:20,640 Speaker 1: discussed many times here, the so called insurrection was a 605 00:36:20,760 --> 00:36:25,439 Speaker 1: riot involving a few thousand people. There were seventy four 606 00:36:25,600 --> 00:36:28,520 Speaker 1: seventy five million people that voted for Donald Trump. The 607 00:36:28,600 --> 00:36:33,000 Speaker 1: insurrection didn't actually kill any law enforcement officers. The people 608 00:36:33,040 --> 00:36:35,640 Speaker 1: doing it were not armed. But the media has a 609 00:36:35,680 --> 00:36:41,680 Speaker 1: story that they tell themselves that justifies they're just despising, 610 00:36:42,239 --> 00:36:45,000 Speaker 1: despising those who disagree with them politically, which is what 611 00:36:45,040 --> 00:36:48,880 Speaker 1: this is really all about. They absolutely hate the people 612 00:36:48,920 --> 00:36:52,359 Speaker 1: who won't go along with the left, and so they 613 00:36:52,400 --> 00:36:56,359 Speaker 1: have to come up with some moral formulation of this 614 00:36:56,880 --> 00:37:00,959 Speaker 1: to justify that disdain, and that's what they do. Don 615 00:37:01,040 --> 00:37:05,879 Speaker 1: Lemon owns multiple houses, is a multi millionaire. He shows up, 616 00:37:05,920 --> 00:37:08,560 Speaker 1: he reads off a prompter. He is an ignor ramist. 617 00:37:08,800 --> 00:37:12,120 Speaker 1: He's a moron and not a particularly nice guy, by 618 00:37:12,120 --> 00:37:14,600 Speaker 1: the way. Not someone and I know I know Don 619 00:37:14,680 --> 00:37:16,399 Speaker 1: Lemon a bit. I've worked with him in the past. 620 00:37:16,480 --> 00:37:20,399 Speaker 1: Not someone you could trust, not somebody who's honest. And 621 00:37:20,600 --> 00:37:22,600 Speaker 1: all he does is complain about how racist and awful 622 00:37:22,640 --> 00:37:25,560 Speaker 1: America is. And you see this, you say, Wow, America 623 00:37:25,640 --> 00:37:27,800 Speaker 1: is so racist and awful that here you have somebody 624 00:37:27,840 --> 00:37:32,160 Speaker 1: who is who is an out member of the LGBT community, 625 00:37:32,160 --> 00:37:36,600 Speaker 1: who is black, who is elevated beyond ninety nine point 626 00:37:36,680 --> 00:37:40,440 Speaker 1: nine nine percent of Americans in socioeconomic status and power, 627 00:37:40,520 --> 00:37:43,600 Speaker 1: and all he does is complain about how hard it is. 628 00:37:44,239 --> 00:37:46,520 Speaker 1: All he does is talk about the victimization on the 629 00:37:46,520 --> 00:37:49,840 Speaker 1: white nationals and everything else. It's it's a mental illness, folks. 630 00:37:49,840 --> 00:37:54,840 Speaker 1: I mean liberalism engenders these kinds of mental illnesses in 631 00:37:54,960 --> 00:37:59,360 Speaker 1: its adherents. I can still taste it, the monk chicken 632 00:37:59,440 --> 00:38:02,680 Speaker 1: breast that I made last night I cooked for my girlfriend. 633 00:38:02,960 --> 00:38:05,520 Speaker 1: I sliced it up, and the first bite it was 634 00:38:05,600 --> 00:38:09,040 Speaker 1: so juicy and flavorful. And I didn't have to go 635 00:38:09,080 --> 00:38:11,319 Speaker 1: to this store. I had my monk on hand because 636 00:38:11,320 --> 00:38:15,960 Speaker 1: I got a Monk Box with bacon, pork, chicken steak. 637 00:38:16,719 --> 00:38:19,680 Speaker 1: I've had the rib I, I've had the bacon. This 638 00:38:19,760 --> 00:38:23,080 Speaker 1: is top quality. I mean it's the best protein I've 639 00:38:23,080 --> 00:38:25,839 Speaker 1: had ever made in my own home. I'm telling you 640 00:38:25,840 --> 00:38:29,080 Speaker 1: that right now. Monk delivers grass fed and grass finished 641 00:38:29,120 --> 00:38:32,640 Speaker 1: beef and lamb, pastured pork and chicken, and wild corn 642 00:38:32,680 --> 00:38:36,120 Speaker 1: Alaskan salmon direct to your door. All their animals are 643 00:38:36,160 --> 00:38:38,719 Speaker 1: raised outdoors, Their fish swim wild in the ocean, and 644 00:38:38,840 --> 00:38:41,480 Speaker 1: monk meat is free of antibiotics, hormone, sugar, and all 645 00:38:41,480 --> 00:38:44,880 Speaker 1: the other junk you find in prepackaged meat aisle stuff. 646 00:38:45,560 --> 00:38:49,840 Speaker 1: Join up right now, go to monkbox dot com slash 647 00:38:49,960 --> 00:38:53,280 Speaker 1: buck and have a box of the most delicious meats 648 00:38:53,320 --> 00:38:55,560 Speaker 1: ever delivered right to your door. You put them in 649 00:38:55,600 --> 00:38:58,200 Speaker 1: the freezer and they're ready whenever you need him. Your 650 00:38:58,200 --> 00:39:00,920 Speaker 1: thaw them out and you're gonna have the best steaks, 651 00:39:01,040 --> 00:39:03,680 Speaker 1: the most succulent lamb chops. Oh, I've got the lamb 652 00:39:03,760 --> 00:39:06,200 Speaker 1: chops right now my freezer. I can't wait to make them. 653 00:39:06,360 --> 00:39:10,200 Speaker 1: You gotta join the Monk movement today. Help this independent 654 00:39:10,520 --> 00:39:13,680 Speaker 1: farm stay away from big Agra. Two. These are great 655 00:39:13,719 --> 00:39:17,760 Speaker 1: people with top quality meat and right now, right now, 656 00:39:17,840 --> 00:39:20,600 Speaker 1: listeners to this show will get free ground beef for 657 00:39:20,680 --> 00:39:23,839 Speaker 1: a year. That's right, free ground beef for a year. 658 00:39:24,200 --> 00:39:27,080 Speaker 1: All you have to do is go to monkbox dot com. 659 00:39:27,120 --> 00:39:30,760 Speaker 1: Go to this website right now, monkbox dot com, slash 660 00:39:30,840 --> 00:39:35,359 Speaker 1: buck again, that's moinkbox dot com slash buck, and have 661 00:39:35,480 --> 00:39:40,160 Speaker 1: the best meat chicken pork ever delivered right to your home, 662 00:39:40,239 --> 00:39:44,840 Speaker 1: right to your door. Coke went woke and now people 663 00:39:45,000 --> 00:39:48,920 Speaker 1: want it to go broke. Probably not gonna happen. It's 664 00:39:49,000 --> 00:39:54,840 Speaker 1: Coca Cola basically selling a legalized drug. Sugar, addictive, caffeine, addictive. 665 00:39:55,160 --> 00:39:58,920 Speaker 1: Mix them together, you've got a product. One of the 666 00:39:58,960 --> 00:40:02,840 Speaker 1: most important. I'm gonna tell you this A few things. 667 00:40:03,239 --> 00:40:04,680 Speaker 1: You know. I don't get into a lot of, you know, 668 00:40:04,760 --> 00:40:07,680 Speaker 1: life guidance and advice on this show, so occasionally I'll 669 00:40:07,680 --> 00:40:09,319 Speaker 1: just share things with you, and it's just for my 670 00:40:09,360 --> 00:40:13,040 Speaker 1: own experience. And you know, the people who know me 671 00:40:13,080 --> 00:40:15,600 Speaker 1: personally sometimes refer to me as the wise old al 672 00:40:15,719 --> 00:40:18,640 Speaker 1: because I think a lot about my own mistakes and 673 00:40:18,680 --> 00:40:21,360 Speaker 1: I try to be introspective, try to learn from them. 674 00:40:21,880 --> 00:40:26,880 Speaker 1: Things to cut out of your life. Soda top of 675 00:40:26,920 --> 00:40:30,359 Speaker 1: the list, just not worth it. Don't drink it. It's 676 00:40:30,400 --> 00:40:34,399 Speaker 1: not good for you. Right, pornography for the gentleman out there, 677 00:40:35,360 --> 00:40:37,920 Speaker 1: get rid of it. Get rid of it, don't look 678 00:40:37,920 --> 00:40:39,319 Speaker 1: at it. Don't you know. I'm not saying you gotta 679 00:40:39,320 --> 00:40:41,160 Speaker 1: be a puritan, right. You don't have to cover your eyes. 680 00:40:41,200 --> 00:40:45,240 Speaker 1: If you're walking around the Renaissance wing of a museum 681 00:40:45,280 --> 00:40:48,640 Speaker 1: and there's some boobies hanging out or something, right, but porn, 682 00:40:49,160 --> 00:40:51,160 Speaker 1: get rid of it. You'll be happy or you'll be 683 00:40:51,160 --> 00:40:56,000 Speaker 1: better off. You'll appreciate you, You'll you'll appreciate your own 684 00:40:56,920 --> 00:41:00,080 Speaker 1: libido more, you'll appreciate female beauty more. I'm telling you 685 00:41:00,160 --> 00:41:03,640 Speaker 1: it's true. Gave gave up even even looking at porn 686 00:41:03,680 --> 00:41:07,040 Speaker 1: a long time ago and never looked, but never thought 687 00:41:07,040 --> 00:41:09,640 Speaker 1: twice about it. I mean when I say thought twice 688 00:41:09,680 --> 00:41:13,000 Speaker 1: about it, never thought that it wasn't the right decision afterwards. 689 00:41:13,600 --> 00:41:18,880 Speaker 1: Right things to cut out? Oh, negative people very important 690 00:41:18,920 --> 00:41:21,480 Speaker 1: one cut negative people out of your life. But if 691 00:41:21,520 --> 00:41:26,480 Speaker 1: you can cut out soda, pornography, and there are a 692 00:41:26,520 --> 00:41:29,319 Speaker 1: few other things I'd put on that list, But you're 693 00:41:29,400 --> 00:41:32,759 Speaker 1: you're just making things better for yourself. I don't I 694 00:41:32,760 --> 00:41:35,799 Speaker 1: don't want to get into a moralizing lecture here because 695 00:41:35,840 --> 00:41:38,000 Speaker 1: I have my own deficiencies and my own weaknesses. And 696 00:41:38,040 --> 00:41:40,040 Speaker 1: you're probably thinking, Buck, you like caffeine a lot, You 697 00:41:40,120 --> 00:41:42,959 Speaker 1: drink a lot of coffee. True. True. If I could 698 00:41:42,960 --> 00:41:44,719 Speaker 1: get rid of it and be as productive as I am, 699 00:41:44,800 --> 00:41:47,600 Speaker 1: I would, But I can't. So I understand. I have 700 00:41:47,640 --> 00:41:50,120 Speaker 1: my I have my own vices. But I just Buck's 701 00:41:50,160 --> 00:41:54,319 Speaker 1: wisdom for the day. Soda and porn out. Get rid 702 00:41:54,360 --> 00:41:56,719 Speaker 1: of it, get it, get get it gone. You don't 703 00:41:56,719 --> 00:42:02,520 Speaker 1: need it. I just Cocola got me thinking about that. Now. 704 00:42:03,600 --> 00:42:07,080 Speaker 1: He's just there're drinking your coke, You're watching you know 705 00:42:07,400 --> 00:42:09,759 Speaker 1: whatever you're watching on the computer screen, and this is 706 00:42:09,800 --> 00:42:14,480 Speaker 1: all this is all bad stuff for you. Coca Cola 707 00:42:14,680 --> 00:42:19,719 Speaker 1: had an initiative to get thirty percent of all the 708 00:42:19,840 --> 00:42:23,799 Speaker 1: legal work done by Coca Cola. Thirty percent of it 709 00:42:23,880 --> 00:42:27,920 Speaker 1: was supposed to be done by minorities and fifteen percent, 710 00:42:28,000 --> 00:42:30,879 Speaker 1: I'm sorry, half of it. So then fifteen percent would 711 00:42:30,920 --> 00:42:35,640 Speaker 1: have to be billed by attorneys who were black. This 712 00:42:35,800 --> 00:42:40,080 Speaker 1: was a diversity plan put in place by the former 713 00:42:40,160 --> 00:42:45,400 Speaker 1: General Council of Coca Cola. Recently left Bradley Gayton and 714 00:42:46,040 --> 00:42:49,760 Speaker 1: he resigned to become a consultant to CEO James Quincy. 715 00:42:50,239 --> 00:42:52,399 Speaker 1: Quincy's a British guy. I think a lot of people 716 00:42:52,440 --> 00:42:54,399 Speaker 1: are surprised to know that the CEO of Coca Cola 717 00:42:54,480 --> 00:42:57,960 Speaker 1: is a brit But anyway, and as the Daily Mail 718 00:42:58,000 --> 00:43:00,080 Speaker 1: writes it here, Coca Cola appears to be putting a 719 00:43:00,080 --> 00:43:04,360 Speaker 1: pause on its plan to transition to woke A Cola. 720 00:43:04,440 --> 00:43:08,080 Speaker 1: It is suspending its diversity initiative after the firm replaced 721 00:43:08,080 --> 00:43:11,000 Speaker 1: its top lawyer after just eight months on the job. 722 00:43:13,200 --> 00:43:18,520 Speaker 1: Diversity guidelines. Think about this now, this is a private 723 00:43:18,520 --> 00:43:26,840 Speaker 1: company that is setting up pure numerically based racial quotas. Now, this, 724 00:43:27,360 --> 00:43:30,480 Speaker 1: as a matter of equal protection under the law, is 725 00:43:30,520 --> 00:43:34,400 Speaker 1: in fact illegal. But what we've had in this country 726 00:43:34,480 --> 00:43:37,960 Speaker 1: for years now is because people benefit from this, and 727 00:43:37,960 --> 00:43:40,520 Speaker 1: the Democrats and a lot of minorities benefit from this. 728 00:43:41,320 --> 00:43:46,120 Speaker 1: The pretense that what goes on with holistic college admissions 729 00:43:46,640 --> 00:43:50,960 Speaker 1: or diversity and inclusion initiatives at corporations is that there's not, 730 00:43:51,600 --> 00:43:57,399 Speaker 1: as a matter of what's actually going on, racial advantage 731 00:43:57,440 --> 00:44:00,560 Speaker 1: given to some over others in either admission in schools 732 00:44:00,560 --> 00:44:04,399 Speaker 1: were in hiring four jobs. That's just not true. We're 733 00:44:04,440 --> 00:44:06,799 Speaker 1: living with a lie. This is a lie. And this 734 00:44:06,840 --> 00:44:08,839 Speaker 1: brings me to some of the Supreme Court cases, whether 735 00:44:08,880 --> 00:44:11,040 Speaker 1: it's grut Ter v. Bollinger or others that look at 736 00:44:11,080 --> 00:44:14,960 Speaker 1: a firmative action programs and the decisions the liberals always 737 00:44:15,000 --> 00:44:20,839 Speaker 1: have this, well, you know, we sure that we're discriminating 738 00:44:20,880 --> 00:44:23,840 Speaker 1: by race, but it's good discrimination, and we need to 739 00:44:23,920 --> 00:44:27,600 Speaker 1: balance things, and there's a holistic it's not just this, 740 00:44:27,719 --> 00:44:31,800 Speaker 1: it's all these other things. They just create these gaps 741 00:44:31,800 --> 00:44:35,480 Speaker 1: and gray areas to exploit for what is just discrimination 742 00:44:35,560 --> 00:44:39,360 Speaker 1: by race. And Coca Cola was certainly interested in doing 743 00:44:39,400 --> 00:44:43,040 Speaker 1: that as well. And now they're backing off of it 744 00:44:43,080 --> 00:44:47,480 Speaker 1: a little bit right because it's too explicit. You know, 745 00:44:47,680 --> 00:44:49,600 Speaker 1: fifteen percent of all the legal work has to be 746 00:44:49,600 --> 00:44:54,440 Speaker 1: built out by black attorneys. Okay, now you're establishing that 747 00:44:54,520 --> 00:44:56,640 Speaker 1: you can set up a quota. That's what a quota is. 748 00:44:57,120 --> 00:45:00,399 Speaker 1: So what about a company that says we're only going 749 00:45:00,440 --> 00:45:04,960 Speaker 1: to do business with black owned businesses, We're only going 750 00:45:05,040 --> 00:45:07,239 Speaker 1: to have suppliers that are black owned, or but it 751 00:45:07,280 --> 00:45:11,880 Speaker 1: doesn't black, Asian, Latino, whatever, doesn't matter any racial or 752 00:45:11,920 --> 00:45:13,800 Speaker 1: ethnic greep. You say we're only going to do business 753 00:45:13,840 --> 00:45:17,320 Speaker 1: with people that are in that category. I think everybody 754 00:45:17,320 --> 00:45:22,680 Speaker 1: would say, well, that's not okay, that's contra the American ethic, 755 00:45:22,760 --> 00:45:25,560 Speaker 1: and it's it's against equal protection under the law, which 756 00:45:25,600 --> 00:45:28,520 Speaker 1: is something we're all supposed to believe in and it's 757 00:45:28,520 --> 00:45:34,920 Speaker 1: a constitutional duty. But the left likes racial politics. The 758 00:45:35,000 --> 00:45:37,799 Speaker 1: left benefits from it. The left continues to use it 759 00:45:37,840 --> 00:45:43,799 Speaker 1: to its advantage, and they keep pretending that what they're 760 00:45:43,840 --> 00:45:46,120 Speaker 1: doing isn't really what they're doing. I mean, the admissions 761 00:45:46,120 --> 00:45:51,799 Speaker 1: committees are perhaps the best example of this. Harvard has 762 00:45:51,800 --> 00:45:54,239 Speaker 1: been sued by some Asian Americans who have gotten the data, 763 00:45:54,280 --> 00:45:57,120 Speaker 1: and it shows that if you're black, your chance of 764 00:45:57,160 --> 00:45:59,960 Speaker 1: getting into Harvard with much lower grades and much lower 765 00:46:00,080 --> 00:46:05,000 Speaker 1: or SATs than any other ethnic group is really really high. 766 00:46:05,080 --> 00:46:08,359 Speaker 1: Comparatively speaking, it's worth something like one hundred and fifty 767 00:46:08,440 --> 00:46:10,680 Speaker 1: or two hundred and fifty or one hundred and fifty 768 00:46:10,719 --> 00:46:12,680 Speaker 1: to two hundred and fifty points on the SAT, which 769 00:46:12,719 --> 00:46:16,160 Speaker 1: is a lot. Now Harvard says, oh, no, we're just 770 00:46:16,200 --> 00:46:20,080 Speaker 1: trying to create a diverse and they use all this 771 00:46:20,080 --> 00:46:25,960 Speaker 1: this language that's amorphous, that's oh, it's a it's a tapestry, 772 00:46:26,200 --> 00:46:29,839 Speaker 1: it's a holistic approach, and all this stuff. No, they 773 00:46:29,840 --> 00:46:32,680 Speaker 1: decide you know, we need at least you know, eight 774 00:46:32,680 --> 00:46:35,000 Speaker 1: percent of our freshman class or ten percent of our 775 00:46:35,040 --> 00:46:38,480 Speaker 1: freshman class to be black. And so however, we have 776 00:46:38,520 --> 00:46:39,920 Speaker 1: to play with the numbers to get there. That's what 777 00:46:39,920 --> 00:46:42,080 Speaker 1: we're gonna do. Well, that's a quota. Quotas are not 778 00:46:42,120 --> 00:46:45,920 Speaker 1: allowed though, because quotas are explicit violations vehicle protection under 779 00:46:45,960 --> 00:46:48,080 Speaker 1: the law. And when you start to see, well, then 780 00:46:48,120 --> 00:46:51,120 Speaker 1: what quotas are okay and what quotas aren't. So the 781 00:46:51,120 --> 00:46:55,839 Speaker 1: affirmative action regime, which and wokeness comes, what we see 782 00:46:55,840 --> 00:46:58,960 Speaker 1: as wokeness today is just the weaponization of the regime 783 00:46:58,960 --> 00:47:03,760 Speaker 1: of political correctness that was used to justify affirmative action 784 00:47:04,040 --> 00:47:07,400 Speaker 1: in the eighties and nineties, and now at the heights 785 00:47:07,400 --> 00:47:10,040 Speaker 1: of corporate America and at the top of the Democrat Party, 786 00:47:10,320 --> 00:47:13,719 Speaker 1: you have people who have benefited from this substantially. I mean, 787 00:47:13,719 --> 00:47:17,480 Speaker 1: you have individuals who are big proponents of affirmative action, 788 00:47:17,840 --> 00:47:21,520 Speaker 1: who they themselves received affirmative action to get to where 789 00:47:21,520 --> 00:47:24,160 Speaker 1: they are. But if you bring that up, you're a 790 00:47:24,160 --> 00:47:26,520 Speaker 1: bad person. You're not even allowed to discuss the fact 791 00:47:26,600 --> 00:47:29,120 Speaker 1: that this was a part of their process. And you 792 00:47:29,160 --> 00:47:32,799 Speaker 1: sit there and you say, okay, So we can't talk 793 00:47:32,840 --> 00:47:36,720 Speaker 1: about this, but it affects our laws, it affects people's lives, 794 00:47:37,520 --> 00:47:39,600 Speaker 1: and we're just told to shut up and obey. That 795 00:47:40,520 --> 00:47:47,760 Speaker 1: should send up all the warning flags you need. Coca Cola, 796 00:47:47,920 --> 00:47:52,160 Speaker 1: among other corporations, is just trying to ride the political 797 00:47:52,200 --> 00:47:55,920 Speaker 1: waves now for its own benefit. But they went a 798 00:47:55,920 --> 00:48:01,840 Speaker 1: little too far here with the explicit use of quotas 799 00:48:02,080 --> 00:48:04,640 Speaker 1: for legal work to be done by Coca Cola, specifically 800 00:48:04,680 --> 00:48:06,279 Speaker 1: that it has to be a certain percentage of black 801 00:48:06,360 --> 00:48:10,480 Speaker 1: lawyers that are doing their legal work. Now, you're probably, 802 00:48:10,480 --> 00:48:13,640 Speaker 1: like me, cynical enough to realize James Quincy is a 803 00:48:13,680 --> 00:48:17,280 Speaker 1: white British CEO. Why doesn't he insist that he stepped 804 00:48:17,320 --> 00:48:19,919 Speaker 1: down and have a black person take his job. Well, 805 00:48:20,000 --> 00:48:22,520 Speaker 1: he's not a lawyer, you see, or at least he's 806 00:48:22,560 --> 00:48:26,480 Speaker 1: not working in corporate law, so it's easy for him 807 00:48:26,520 --> 00:48:29,160 Speaker 1: to come up with some program or to utilize implement 808 00:48:29,239 --> 00:48:32,239 Speaker 1: some program that's not going to affect him but makes 809 00:48:32,320 --> 00:48:39,120 Speaker 1: him look like a virtuous fellow. Wokeness in corporations is damaging, 810 00:48:39,960 --> 00:48:42,760 Speaker 1: and it's time we fight back against it with everything 811 00:48:42,760 --> 00:48:45,880 Speaker 1: we've got, because they are ruining This guy didn't found 812 00:48:45,920 --> 00:48:49,280 Speaker 1: Coca Cola. He didn't build this company. The left takes 813 00:48:49,320 --> 00:48:53,319 Speaker 1: things over and destroys them, and then when they're running them, 814 00:48:53,320 --> 00:48:56,479 Speaker 1: they say, c we're in charge. Yeah, like a bunch 815 00:48:56,480 --> 00:48:59,960 Speaker 1: of terrorists seizing an airplane. They didn't build the airplane. 816 00:49:00,080 --> 00:49:02,520 Speaker 1: And the fact that they're at the controls isn't because 817 00:49:02,520 --> 00:49:05,759 Speaker 1: of their great virtue or genius. It's because they get 818 00:49:05,840 --> 00:49:08,279 Speaker 1: on it. They use forest to take control of it, 819 00:49:08,400 --> 00:49:10,440 Speaker 1: and then they drive the thing into the side of 820 00:49:10,440 --> 00:49:13,600 Speaker 1: a mountain. That's what they're doing to corporate America. That's 821 00:49:13,600 --> 00:49:16,560 Speaker 1: what they're doing to great American companies that have been 822 00:49:16,600 --> 00:49:20,640 Speaker 1: around for generations. Now, that's what they're doing to Coca Cola. 823 00:49:20,680 --> 00:49:22,960 Speaker 1: But like I said, stop drinking soda. It's terrible for you.