1 00:00:00,120 --> 00:00:03,840 Speaker 1: You're listening to the best of Clay Travis and Buck Sexton. 2 00:00:04,120 --> 00:00:07,200 Speaker 1: Third hour of the Clay Travis and Buck Sexton Show. 3 00:00:07,560 --> 00:00:11,400 Speaker 1: Get kicked off right now, and thank you for being 4 00:00:11,440 --> 00:00:16,320 Speaker 1: with us effectively. This is a moment where Clay and 5 00:00:16,760 --> 00:00:20,840 Speaker 1: I can say, and all of you who listened to 6 00:00:20,920 --> 00:00:23,560 Speaker 1: us and agree have agreed with us now for over 7 00:00:23,600 --> 00:00:27,120 Speaker 1: a year on this issue, can say, I told you so, 8 00:00:27,320 --> 00:00:31,360 Speaker 1: libbs about all this COVID stuff and how accountability is 9 00:00:31,360 --> 00:00:35,960 Speaker 1: so very important going into this midterm election because Democrats 10 00:00:36,000 --> 00:00:41,160 Speaker 1: took power into their hands, made decisions, abused not only 11 00:00:42,200 --> 00:00:46,600 Speaker 1: abused science, but I would say very directly abused the Constitution. 12 00:00:46,640 --> 00:00:50,200 Speaker 1: I mean, remember the Bide administration had a federal vaccine 13 00:00:50,360 --> 00:00:53,360 Speaker 1: mandate that they tried to get going with the Supreme 14 00:00:53,400 --> 00:00:55,640 Speaker 1: Court step again and saying you can't actually do that 15 00:00:55,640 --> 00:00:59,680 Speaker 1: to people, Guys, that's a reason to vote against, honestly, 16 00:01:00,440 --> 00:01:03,400 Speaker 1: vote against any Democrat down the whole ticket. No Democrat 17 00:01:03,440 --> 00:01:05,480 Speaker 1: who supports any of that, which is all of them, 18 00:01:05,720 --> 00:01:10,720 Speaker 1: deserves to be elected or reelected. But on the crime issue, Clay, 19 00:01:11,080 --> 00:01:15,400 Speaker 1: we keep coming back to this. We're seeing stories that 20 00:01:15,560 --> 00:01:19,520 Speaker 1: certainly indicate how violent, how dangerous a lot of cities 21 00:01:19,560 --> 00:01:22,280 Speaker 1: have become and it's happened the last few years, but 22 00:01:22,400 --> 00:01:28,040 Speaker 1: the numbers are staggering. What we see happening across the 23 00:01:28,080 --> 00:01:32,240 Speaker 1: country is just horrific, the number of shootings that have happened. 24 00:01:32,480 --> 00:01:37,319 Speaker 1: We have Philadelphia on track for after last year the 25 00:01:37,400 --> 00:01:41,119 Speaker 1: most murders in the history of the city. Is how 26 00:01:41,120 --> 00:01:43,760 Speaker 1: crazy that is for a city like Philadelphia to be 27 00:01:43,800 --> 00:01:48,640 Speaker 1: setting all time records right now. Yeah, it's just unbelievable. 28 00:01:49,040 --> 00:01:51,160 Speaker 1: And they're going to have an all time record year 29 00:01:51,160 --> 00:01:54,640 Speaker 1: for murders this year. Remember, very progressive, far left prosecutor. 30 00:01:56,880 --> 00:02:00,000 Speaker 1: You have similar numbers in a lot of other cities. 31 00:02:00,320 --> 00:02:04,480 Speaker 1: Portland where we're on a great station k EX in Portland, 32 00:02:04,520 --> 00:02:07,400 Speaker 1: and we really appreciate all of our Portland folks tuning in. 33 00:02:07,680 --> 00:02:09,760 Speaker 1: A lot of them are and we had them calling 34 00:02:09,840 --> 00:02:14,200 Speaker 1: before Portland area residents. Right, they look outside the city 35 00:02:14,200 --> 00:02:16,880 Speaker 1: because then the city has been turned the Pacific Northwest. 36 00:02:16,919 --> 00:02:19,000 Speaker 1: I've said this before. I know you Greek Clay. It's 37 00:02:19,040 --> 00:02:21,200 Speaker 1: one of the most beautiful parts of the country. And 38 00:02:21,360 --> 00:02:24,280 Speaker 1: Seattle and Portland should be beautiful parts of the world. Yeah, 39 00:02:24,280 --> 00:02:28,280 Speaker 1: it's amazing. Seattle and Portland should be jewel cities. Of this. 40 00:02:28,800 --> 00:02:32,880 Speaker 1: People should be just and San Francisco was look at this, 41 00:02:32,960 --> 00:02:38,000 Speaker 1: San Francisco, Seattle, Portland huge problems. Portland could surpass last 42 00:02:38,080 --> 00:02:41,040 Speaker 1: year's shootings at Clay. What was it? It's up. Murders 43 00:02:41,040 --> 00:02:44,359 Speaker 1: in Portland, homicides in Portland are up. I'm looking. I've 44 00:02:44,400 --> 00:02:46,080 Speaker 1: got it right here directly in front of me. Buck, 45 00:02:46,919 --> 00:02:48,959 Speaker 1: a huge article in the Wall Street Journal. I was 46 00:02:49,000 --> 00:02:52,400 Speaker 1: reading it over the weekend. They averaged in Portland, Buck, 47 00:02:52,760 --> 00:02:57,240 Speaker 1: between two thousand and two thousand, nineteen twenty one murders 48 00:02:57,240 --> 00:02:59,799 Speaker 1: a year, virtually. I mean, look, it happened, but it 49 00:02:59,840 --> 00:03:02,320 Speaker 1: was almost unheard of for the first twenty years of 50 00:03:02,360 --> 00:03:06,440 Speaker 1: the twenty first century. Last year, Buck, they had eighty 51 00:03:06,600 --> 00:03:12,680 Speaker 1: eight murders in Portland, over a quadruple ing first nineteen years. 52 00:03:13,160 --> 00:03:16,360 Speaker 1: Almost unheard of for a murder to happen. I don't 53 00:03:16,400 --> 00:03:20,400 Speaker 1: know that there's any city in America that has quadrupled 54 00:03:20,480 --> 00:03:23,640 Speaker 1: its murder total in the last couple of years like 55 00:03:23,720 --> 00:03:26,040 Speaker 1: Portland has. And for the most part, this is a 56 00:03:26,080 --> 00:03:30,480 Speaker 1: Wall Street Journal article. Wall Street Journal best newspaper in America, 57 00:03:30,560 --> 00:03:32,840 Speaker 1: and there's not a close second. Right now, by the way, 58 00:03:33,320 --> 00:03:36,720 Speaker 1: Wall Street Journal eighty eight murders in twenty twenty one. 59 00:03:36,800 --> 00:03:41,320 Speaker 1: They're on track for another massive increase over the historical 60 00:03:41,400 --> 00:03:44,120 Speaker 1: averages in twenty twenty two. We saw it in twenty twenty. 61 00:03:44,160 --> 00:03:47,640 Speaker 1: This is insanity. So you also had a thousand shootings 62 00:03:47,720 --> 00:03:51,160 Speaker 1: in Portland last year, which was a massive increest thing. 63 00:03:51,160 --> 00:03:53,080 Speaker 1: But there's only three hundred and sixty five days in 64 00:03:53,120 --> 00:03:56,480 Speaker 1: a year. Everybody. Portland is not a large city. It's 65 00:03:56,480 --> 00:03:58,160 Speaker 1: six hundred and fifty I mean, you know, it's a 66 00:03:58,280 --> 00:04:01,560 Speaker 1: midsize say six hundred and fifty thousand and people in Portland. 67 00:04:01,600 --> 00:04:04,920 Speaker 1: So what does that puts it? Probably top fifty, maybe 68 00:04:04,960 --> 00:04:06,960 Speaker 1: top forty cities in the country. I'd have to look 69 00:04:06,960 --> 00:04:11,000 Speaker 1: at the specific numbers, but clay By by way of comparison, 70 00:04:11,080 --> 00:04:14,200 Speaker 1: So Portland had what was the most recent I just 71 00:04:14,240 --> 00:04:16,720 Speaker 1: did the math twenty one for twenty years, So what's 72 00:04:16,760 --> 00:04:20,080 Speaker 1: the most recent last year? Eight last year? If you 73 00:04:20,120 --> 00:04:22,680 Speaker 1: were to h if you were to do the math 74 00:04:22,760 --> 00:04:26,000 Speaker 1: on this one, if Portland were the size of New 75 00:04:26,080 --> 00:04:29,800 Speaker 1: York City and you expanded out the murders per capita, 76 00:04:29,880 --> 00:04:32,480 Speaker 1: you just did the math on this one, You're getting 77 00:04:32,560 --> 00:04:36,839 Speaker 1: pretty close to a thousand murders, right, That's what it 78 00:04:36,839 --> 00:04:39,720 Speaker 1: would be if if Portland were the size of New 79 00:04:39,880 --> 00:04:42,120 Speaker 1: If you look at a city like Baltimore, for example, 80 00:04:42,160 --> 00:04:45,599 Speaker 1: which had which has hundreds of murders a year, and 81 00:04:45,720 --> 00:04:48,960 Speaker 1: you expanded that to be the size of New York City, 82 00:04:49,320 --> 00:04:52,480 Speaker 1: you would also see a similar h You know, you're 83 00:04:52,520 --> 00:04:55,279 Speaker 1: getting to like the worst days of the nineteen nineties. 84 00:04:55,480 --> 00:04:58,360 Speaker 1: New York had two thousand, two hundred murders in nineteen 85 00:04:58,400 --> 00:05:01,719 Speaker 1: ninety nineteen ninety one. We're going back to the days 86 00:05:01,800 --> 00:05:03,800 Speaker 1: when people didn't feel safe at all in the streets. 87 00:05:03,800 --> 00:05:05,719 Speaker 1: We're moving in that direction. And now let's get to 88 00:05:05,720 --> 00:05:09,600 Speaker 1: the why. The answer is stupid ideas from Democrats. And 89 00:05:09,600 --> 00:05:12,320 Speaker 1: I know it's very straightforward. Yeah, this is not They 90 00:05:12,360 --> 00:05:15,039 Speaker 1: told us it was COVID. That was a lie. They 91 00:05:15,080 --> 00:05:17,320 Speaker 1: told us that it was just not even happening. It 92 00:05:17,400 --> 00:05:20,280 Speaker 1: was a data blip, it'll go away. That was a lie. 93 00:05:21,680 --> 00:05:25,080 Speaker 1: The fact of the matter is that Democrats have engaged 94 00:05:25,120 --> 00:05:28,599 Speaker 1: in an all out leftist assault on the criminal justice system, 95 00:05:28,880 --> 00:05:34,600 Speaker 1: from policing to prosecution to incarceration at all levels. And 96 00:05:34,640 --> 00:05:38,560 Speaker 1: what we're seeing is the criminal element in place after place, 97 00:05:38,600 --> 00:05:42,159 Speaker 1: city after city doesn't feel like they're going to suffer 98 00:05:42,279 --> 00:05:46,680 Speaker 1: serious consequences. They commit more and more serious crimes as 99 00:05:46,720 --> 00:05:51,240 Speaker 1: a result, and people are fleeing cities now because of this. 100 00:05:51,279 --> 00:05:54,040 Speaker 1: It's happening all over the country, and they should flee 101 00:05:54,080 --> 00:05:57,000 Speaker 1: these cities, and there should be political consequences for the 102 00:05:57,040 --> 00:05:59,520 Speaker 1: people that have made these insane decisions. And here's what 103 00:05:59,560 --> 00:06:02,480 Speaker 1: I would point out to everybody. The reason why Portland 104 00:06:02,640 --> 00:06:07,160 Speaker 1: is such a fascinating window into failed Democrat policies is 105 00:06:07,720 --> 00:06:12,400 Speaker 1: Portland is probably the most left wing major city in 106 00:06:12,440 --> 00:06:15,839 Speaker 1: America today. And I'm defining major city for everybody out there, 107 00:06:16,080 --> 00:06:20,200 Speaker 1: kind of city that could have a pro sports franchise, right, Trailblazers, Portland, 108 00:06:20,240 --> 00:06:22,680 Speaker 1: they have a Proland's about twenty fifth twenty six by 109 00:06:22,720 --> 00:06:24,800 Speaker 1: population at check, that's at top forty. It's like twenty 110 00:06:24,839 --> 00:06:29,560 Speaker 1: fifth twenty six. Okay, name a city that is more 111 00:06:29,760 --> 00:06:34,880 Speaker 1: woke than Portland. I bet almost everybody out there listening, right. 112 00:06:34,880 --> 00:06:37,080 Speaker 1: I mean, they made a show called Portlandia, which was 113 00:06:37,120 --> 00:06:42,240 Speaker 1: basically mocking the white, woke community that is the underlying 114 00:06:42,320 --> 00:06:46,320 Speaker 1: foundation of Portland. Used to be, to Buck's Point, a 115 00:06:46,440 --> 00:06:50,320 Speaker 1: jewel of the Pacific Northwest, one of the safest places 116 00:06:50,400 --> 00:06:53,640 Speaker 1: in all the country. I bet there's not one major 117 00:06:53,680 --> 00:06:57,560 Speaker 1: city in America buck that has quadrupled its murder rate 118 00:06:58,000 --> 00:07:01,360 Speaker 1: in the last couple of years in the entire United States, 119 00:07:01,360 --> 00:07:04,160 Speaker 1: I bet you can't find one. Is it a coincidence 120 00:07:04,440 --> 00:07:08,880 Speaker 1: that the wokest city in America the one that repudiated 121 00:07:08,960 --> 00:07:12,360 Speaker 1: police the most aggressively and went in with left wing 122 00:07:12,480 --> 00:07:18,480 Speaker 1: defund the police, Antifa protest constantly. Is it a surprise 123 00:07:18,960 --> 00:07:22,000 Speaker 1: that they quadrupled their murders, that that went up more 124 00:07:22,040 --> 00:07:23,760 Speaker 1: than anywhere. I don't think so. I think it's a 125 00:07:23,840 --> 00:07:28,360 Speaker 1: natural consequence. And if we're not careful, every city becomes Portland. 126 00:07:28,520 --> 00:07:30,600 Speaker 1: And let's look at what they did. I mean, we 127 00:07:31,000 --> 00:07:33,160 Speaker 1: talk about this in the in the terms of the stats, 128 00:07:33,160 --> 00:07:35,920 Speaker 1: the numbers. What are the decisions that they made. And 129 00:07:35,920 --> 00:07:38,440 Speaker 1: when I say day, democrats down the loss, not a 130 00:07:38,520 --> 00:07:42,000 Speaker 1: single Republican. This isn't a both sides issue. This isn't Oh, 131 00:07:42,200 --> 00:07:44,320 Speaker 1: they do things, we do things left and right. No, 132 00:07:44,320 --> 00:07:48,440 Speaker 1: no democrat. Have Democrats have total dominance of the city. 133 00:07:48,760 --> 00:07:51,720 Speaker 1: They do things like they say, let's let people live 134 00:07:51,760 --> 00:07:53,720 Speaker 1: on the streets, meaning camp on the streets, set up 135 00:07:53,760 --> 00:07:56,120 Speaker 1: campsites wherever they want, on the street, in the park, 136 00:07:56,200 --> 00:08:00,000 Speaker 1: outside your home. Well, that also brings down property value. 137 00:08:00,160 --> 00:08:02,520 Speaker 1: Use that makes people feel less safe. And sure, most 138 00:08:02,560 --> 00:08:05,480 Speaker 1: of the people camping out aren't actually harming anybody, but 139 00:08:05,720 --> 00:08:09,680 Speaker 1: it's unsanitary. They're harming themselves. They make drugs legal for 140 00:08:09,720 --> 00:08:12,360 Speaker 1: people to do outdoors. They've had a huge increase in 141 00:08:12,440 --> 00:08:16,480 Speaker 1: overdose deaths, which they said they remember they legalize drugs 142 00:08:16,520 --> 00:08:19,040 Speaker 1: to make people safer from the drug use, and actually 143 00:08:19,040 --> 00:08:21,200 Speaker 1: more people are doing drugs and dying as a result. 144 00:08:21,600 --> 00:08:23,280 Speaker 1: Then they say, well, we don't want to be too 145 00:08:23,280 --> 00:08:25,560 Speaker 1: strict with people when it comes to not only public 146 00:08:25,680 --> 00:08:28,840 Speaker 1: urination and defecation, which they decide is also legal, all 147 00:08:28,920 --> 00:08:31,840 Speaker 1: quality of life primes. Then it's let's not arrest people 148 00:08:31,840 --> 00:08:34,599 Speaker 1: for shoplifting. Let's set a really high limits, say, I 149 00:08:34,640 --> 00:08:36,679 Speaker 1: don't know, nine hundred dollars, which is what they've had 150 00:08:36,720 --> 00:08:39,439 Speaker 1: in California recently, before you're going to get arrested, in 151 00:08:39,559 --> 00:08:42,240 Speaker 1: charge with a felony or anything serious at all. So 152 00:08:42,320 --> 00:08:49,040 Speaker 1: let's effectively decriminalize stealing, open air drug use, living on 153 00:08:49,080 --> 00:08:53,880 Speaker 1: the streets, urinating in public, you know, indecent exposure, which 154 00:08:53,960 --> 00:08:56,880 Speaker 1: is going on all the time. Essentially, let's bring as 155 00:08:57,000 --> 00:09:03,520 Speaker 1: many criminal deeply schized frenick drug abusers possible, have them 156 00:09:03,640 --> 00:09:06,520 Speaker 1: descend on our city. And then when people do really 157 00:09:06,520 --> 00:09:08,720 Speaker 1: bad stuff, let's not lock them up for long periods 158 00:09:08,760 --> 00:09:11,880 Speaker 1: of time because we don't want mass incarceration. And let's 159 00:09:11,920 --> 00:09:15,360 Speaker 1: just see what happens. And we're seeing what happens, and 160 00:09:15,440 --> 00:09:18,160 Speaker 1: the small businesses that are trying to make a living, 161 00:09:18,200 --> 00:09:21,840 Speaker 1: the small business owners all over Portland. People don't feel 162 00:09:21,840 --> 00:09:24,600 Speaker 1: comfortable on the streets, so they're not coming into downtown, 163 00:09:24,640 --> 00:09:27,640 Speaker 1: they're not traveling around like they ordinarily would. In fact, Buck, 164 00:09:27,960 --> 00:09:29,320 Speaker 1: let's hope what do we do this every now and 165 00:09:29,360 --> 00:09:32,480 Speaker 1: then we have a large audience in Portland. I'd like 166 00:09:32,559 --> 00:09:35,240 Speaker 1: to hear from people who live in Portland what the 167 00:09:35,320 --> 00:09:38,600 Speaker 1: last couple of years have felt like. As your murder 168 00:09:38,679 --> 00:09:41,319 Speaker 1: rate has quadrupled, and we could talk about all different 169 00:09:41,320 --> 00:09:43,000 Speaker 1: sorts of crime. But one reason we like to talk 170 00:09:43,040 --> 00:09:47,480 Speaker 1: about murders on this is it's hard to determine sometimes 171 00:09:47,559 --> 00:09:49,800 Speaker 1: whether other crimes are going up because people might not 172 00:09:49,840 --> 00:09:53,079 Speaker 1: call the police as often over their scooters getting stolen, 173 00:09:53,160 --> 00:09:56,920 Speaker 1: like happened to Buck in New York City trauma. But 174 00:09:57,040 --> 00:09:59,400 Speaker 1: for the most part, if there is a dead body, 175 00:10:00,000 --> 00:10:03,400 Speaker 1: there is an investigation it's a tally that's somewhat reliable 176 00:10:03,720 --> 00:10:06,960 Speaker 1: quadrupleid murder rates one eight hundred two eight two two 177 00:10:07,120 --> 00:10:10,800 Speaker 1: eight eight two Only Portland people, what's it like to 178 00:10:10,960 --> 00:10:13,960 Speaker 1: live in your city right now and have all of 179 00:10:13,960 --> 00:10:18,199 Speaker 1: these failures raining down upon you such that arguably Portland 180 00:10:18,360 --> 00:10:22,480 Speaker 1: is the biggest failure of the post George Floyd era 181 00:10:22,559 --> 00:10:27,559 Speaker 1: in America. It is also really the home city of Antifa. 182 00:10:27,840 --> 00:10:30,200 Speaker 1: It is the city more than any other. I mean, 183 00:10:30,360 --> 00:10:32,360 Speaker 1: Seattle is probably right up there. I mean you could, 184 00:10:32,640 --> 00:10:38,319 Speaker 1: but Portland has an Antifa presence. That is, it's it's consistent. 185 00:10:38,360 --> 00:10:40,600 Speaker 1: Anytime there's any kind of a right wing gathering, a 186 00:10:40,679 --> 00:10:43,880 Speaker 1: conservative or a Republican gathering, you know, Antifa is going 187 00:10:43,920 --> 00:10:46,160 Speaker 1: to show up there. So which is Antifa's really just 188 00:10:46,200 --> 00:10:49,240 Speaker 1: a distillation of left wing They're essentially the shock tropes 189 00:10:49,320 --> 00:10:53,760 Speaker 1: of a shock troops of left wing wokeism. And do 190 00:10:53,760 --> 00:10:56,680 Speaker 1: you remember when the mayor there, Ted Wheeler, during during 191 00:10:56,679 --> 00:10:59,920 Speaker 1: the whole blm summer of violence and destruction, Ted wheel 192 00:11:00,000 --> 00:11:02,760 Speaker 1: Are like showed up the mayor of Portland's great guys 193 00:11:02,800 --> 00:11:04,720 Speaker 1: like I'm here for you. They're like, shut up, you 194 00:11:04,760 --> 00:11:08,400 Speaker 1: little nerd, like we hate you, and it's just yeah, exactly, 195 00:11:08,760 --> 00:11:13,520 Speaker 1: it's just destruction and anger and rage and stupidity, all 196 00:11:13,600 --> 00:11:18,520 Speaker 1: with Democrats blessing it, pushing it along, almost all white 197 00:11:18,920 --> 00:11:22,439 Speaker 1: woke democrats. I just want you to be thinking about this. 198 00:11:23,120 --> 00:11:28,480 Speaker 1: The worst people in America, the people who are destroying America, 199 00:11:28,559 --> 00:11:34,400 Speaker 1: the most white woke Democrats. And Portland is a perfect 200 00:11:34,400 --> 00:11:40,120 Speaker 1: approximation and epitomization of exactly what's going on there. My 201 00:11:40,200 --> 00:11:46,679 Speaker 1: daughter's getting school, am gone money, so you're gonna pay 202 00:11:46,720 --> 00:11:50,120 Speaker 1: for people didn't save any money something. Those of us 203 00:11:50,240 --> 00:11:55,560 Speaker 1: did the right thing. My money hit fun on a card, 204 00:11:55,800 --> 00:12:00,960 Speaker 1: little vacations, he made more night. I'm a double shift, 205 00:12:03,600 --> 00:12:10,360 Speaker 1: so you're laughing. And there was a throwback there to 206 00:12:10,480 --> 00:12:14,239 Speaker 1: when Elizabeth Warren was confronted by somebody with the reality 207 00:12:14,320 --> 00:12:18,199 Speaker 1: of the so called loan forgiveness. But it's really people 208 00:12:18,240 --> 00:12:20,720 Speaker 1: doing the right thing getting screwed and people who made 209 00:12:21,000 --> 00:12:23,720 Speaker 1: a choice they don't like getting a little political payoff. 210 00:12:24,320 --> 00:12:28,760 Speaker 1: That was Joe Lutz from Missouri and he is with 211 00:12:28,880 --> 00:12:32,360 Speaker 1: us now. Actually the guy who confronted Elizabeth Warren Gerald, 212 00:12:32,360 --> 00:12:35,160 Speaker 1: thanks for calling in. Hey, how you guys doing today? 213 00:12:35,240 --> 00:12:37,800 Speaker 1: We're good man. What you know you got a lot 214 00:12:37,840 --> 00:12:40,800 Speaker 1: of people fired up with that, with that exchange with 215 00:12:40,960 --> 00:12:44,120 Speaker 1: Senator Warren, And I just want to know now that 216 00:12:44,160 --> 00:12:46,439 Speaker 1: you see that the Biden administration has come back to this, 217 00:12:47,120 --> 00:12:49,160 Speaker 1: what are you thinking. What does it feel like now 218 00:12:49,160 --> 00:12:52,680 Speaker 1: that you see they may go through this anyway? Well, 219 00:12:53,280 --> 00:12:55,320 Speaker 1: you know, you just see what's a constant. It's the 220 00:12:55,360 --> 00:12:58,520 Speaker 1: picking and choosing of winners or losers. And then they 221 00:12:58,559 --> 00:13:01,920 Speaker 1: can't understand why anybody's off at them when they do it. 222 00:13:02,280 --> 00:13:06,760 Speaker 1: That's what's really amazing. It is kind of fascinating to 223 00:13:06,840 --> 00:13:09,840 Speaker 1: think about you you are speaking. I think for many 224 00:13:09,920 --> 00:13:12,160 Speaker 1: people out there, the thing that I found most compelling 225 00:13:12,200 --> 00:13:17,560 Speaker 1: about your confrontation was Elizabeth Warren was And I know 226 00:13:17,600 --> 00:13:19,000 Speaker 1: there are a lot of people out there listening to 227 00:13:19,080 --> 00:13:22,839 Speaker 1: us right now. You specifically chose to help your daughter 228 00:13:22,880 --> 00:13:25,600 Speaker 1: pay for college when you could have spent money on 229 00:13:25,679 --> 00:13:28,600 Speaker 1: other luxuries. You could have bought a new car, you 230 00:13:28,600 --> 00:13:32,720 Speaker 1: could have gone on fancy your vacations. You made that choice. 231 00:13:32,960 --> 00:13:34,800 Speaker 1: I think a lot of people out there listening to 232 00:13:34,880 --> 00:13:38,400 Speaker 1: us have made that choice. Now, how furious does it 233 00:13:38,480 --> 00:13:42,800 Speaker 1: make you to think that your choice, your sacrifice on 234 00:13:42,880 --> 00:13:45,400 Speaker 1: behalf of your children when it comes to putting them 235 00:13:45,440 --> 00:13:49,079 Speaker 1: through school. The government now is treating that as if 236 00:13:49,320 --> 00:13:52,280 Speaker 1: it doesn't matter at all, and rewarding people who made 237 00:13:52,600 --> 00:13:58,160 Speaker 1: less solid financial choices for their children. Well, you know, 238 00:13:58,280 --> 00:14:01,760 Speaker 1: you look at it and you say to yourself, I 239 00:14:01,840 --> 00:14:04,880 Speaker 1: can be mad about this, I can be upset, and 240 00:14:05,120 --> 00:14:09,320 Speaker 1: you are. But my daughter is the one who did 241 00:14:09,400 --> 00:14:11,640 Speaker 1: a lot of the work to put herself through school 242 00:14:11,880 --> 00:14:14,640 Speaker 1: to not have those debts, and she has a great 243 00:14:14,720 --> 00:14:19,000 Speaker 1: job now, and she will mop the floor with the 244 00:14:19,000 --> 00:14:22,280 Speaker 1: people who get the free college, who get their student 245 00:14:22,360 --> 00:14:25,440 Speaker 1: loans paid off. You know, in the short run, it's 246 00:14:25,480 --> 00:14:27,840 Speaker 1: a nice deal. But in the long run, you know, 247 00:14:28,040 --> 00:14:31,520 Speaker 1: it proves that, oh, I don't have to work hard. Well, 248 00:14:31,560 --> 00:14:33,920 Speaker 1: my daughter already knows how to work hard. She's already 249 00:14:33,920 --> 00:14:35,960 Speaker 1: mopping the floor with them. She's going to end up 250 00:14:36,000 --> 00:14:38,000 Speaker 1: on top, and they're gonna end up second fiddle in 251 00:14:38,040 --> 00:14:40,880 Speaker 1: the long run. In the short run, it's infuriating. In 252 00:14:40,960 --> 00:14:43,960 Speaker 1: the long run, you know, doing the right thing will 253 00:14:44,000 --> 00:14:47,880 Speaker 1: pay off, just for that simple fact. I'm just wondering, Joe, 254 00:14:47,880 --> 00:14:50,120 Speaker 1: when you're when you're squaring off on this issue and 255 00:14:51,520 --> 00:14:54,520 Speaker 1: confronting Elizabeth Warren with some with some truth that she 256 00:14:54,640 --> 00:14:57,240 Speaker 1: doesn't didn't want to hear, well, what was your demeanor 257 00:14:57,320 --> 00:15:04,440 Speaker 1: like toward you after this? Well, her demeanor, yes, sir. Well, 258 00:15:05,080 --> 00:15:09,040 Speaker 1: you know, she sat there and I knew you only 259 00:15:09,080 --> 00:15:12,680 Speaker 1: had maybe twenty or thirty seconds in the selfie line 260 00:15:13,080 --> 00:15:15,440 Speaker 1: because they didn't get to ask a question during the event. 261 00:15:15,720 --> 00:15:18,200 Speaker 1: So in the selfie line, I thought, well, I drove 262 00:15:18,240 --> 00:15:21,080 Speaker 1: all this way, I'm from Missouri, not Iowa, and I 263 00:15:21,120 --> 00:15:23,000 Speaker 1: thought I'm gonna ask the question. Then I thought, you know, 264 00:15:23,040 --> 00:15:24,680 Speaker 1: I'm in the front of line. I'll jump in there. 265 00:15:25,080 --> 00:15:27,560 Speaker 1: And I knew I wanted to set her up because 266 00:15:27,560 --> 00:15:29,680 Speaker 1: you weren't going to have a policy debate here. You 267 00:15:29,800 --> 00:15:31,800 Speaker 1: had a little bit of time to get it in. 268 00:15:32,240 --> 00:15:34,920 Speaker 1: But the other thing was I was by myself. I 269 00:15:35,000 --> 00:15:37,120 Speaker 1: didn't you know, I didn't think anybody was filming it. 270 00:15:37,240 --> 00:15:39,480 Speaker 1: I didn't think any of it was being recorded. And 271 00:15:39,600 --> 00:15:41,720 Speaker 1: I think because of that, it came off as a 272 00:15:41,720 --> 00:15:43,520 Speaker 1: lot more genuine than if you would have tried to 273 00:15:43,600 --> 00:15:47,360 Speaker 1: stage it. But when you when you know, you said that, uh, 274 00:15:47,600 --> 00:15:49,600 Speaker 1: you know, my daughter's getting out of school, et cetera. 275 00:15:49,960 --> 00:15:52,280 Speaker 1: And she said, God bless you. And then it was 276 00:15:52,320 --> 00:15:54,120 Speaker 1: time to drop the other shoe, and you know, just 277 00:15:54,160 --> 00:15:55,480 Speaker 1: do the old Well, I mean, you're gonna be my 278 00:15:55,480 --> 00:15:58,080 Speaker 1: money back, And it's amazing all of politics. I've never 279 00:15:58,120 --> 00:16:00,520 Speaker 1: had a quicker answer in my life. And of course 280 00:16:00,600 --> 00:16:03,760 Speaker 1: not you know, yeah, yeah, And she was going to 281 00:16:03,760 --> 00:16:06,520 Speaker 1: go into her long winded explanation about well, you know, 282 00:16:06,560 --> 00:16:08,240 Speaker 1: if you worked there with social Security, should we not 283 00:16:08,320 --> 00:16:10,320 Speaker 1: have done social Security. I knew what she was going 284 00:16:10,360 --> 00:16:12,240 Speaker 1: to do. I could tell what she was going to 285 00:16:12,320 --> 00:16:14,480 Speaker 1: come back with, so I didn't. I didn't give her 286 00:16:14,480 --> 00:16:16,800 Speaker 1: the chance. I made sure that I got my fifteen 287 00:16:16,880 --> 00:16:19,560 Speaker 1: seconds in so I could let her know exactly how 288 00:16:19,640 --> 00:16:22,600 Speaker 1: myself and everybody else felt about it. And like I said, 289 00:16:22,960 --> 00:16:25,000 Speaker 1: you could tell by the way she was fidgeting that 290 00:16:25,080 --> 00:16:27,960 Speaker 1: she was like, oh, now what do I say? You know, 291 00:16:27,960 --> 00:16:29,520 Speaker 1: and she just had to sit there and take it. 292 00:16:29,520 --> 00:16:32,240 Speaker 1: There wasn't much she could do. And I'm just sitting 293 00:16:32,280 --> 00:16:34,080 Speaker 1: there in the back of my mind going, whatever you do, 294 00:16:34,080 --> 00:16:36,720 Speaker 1: don't cuss, don't custom good good man, Yes, that is 295 00:16:36,760 --> 00:16:39,320 Speaker 1: always a good rule. And Joe, you made an important 296 00:16:39,320 --> 00:16:44,440 Speaker 1: contribution to this discussion debate over the so called cancelation 297 00:16:44,440 --> 00:16:46,360 Speaker 1: of student loans man. Thank you so much for calling in. 298 00:16:46,400 --> 00:16:48,520 Speaker 1: That's fine. I mean that clip has been everywhere still 299 00:16:48,560 --> 00:16:50,840 Speaker 1: it's a real moment. Well done, sir. By the way 300 00:16:50,920 --> 00:16:53,600 Speaker 1: Clay was speaking about courage before for somebody who's just 301 00:16:53,600 --> 00:16:56,240 Speaker 1: living a private life to ask a tough question like 302 00:16:56,280 --> 00:16:59,440 Speaker 1: that of a US senator and take take some gumption. 303 00:17:01,480 --> 00:17:04,480 Speaker 1: Encourage all of you to go subscribe to the Clay 304 00:17:04,520 --> 00:17:08,639 Speaker 1: Travis and Buck Sexton Show podcast and make sure that 305 00:17:08,760 --> 00:17:12,080 Speaker 1: you help us set an all time record for March downloads, 306 00:17:12,119 --> 00:17:14,320 Speaker 1: which I feel confident that we are going to be 307 00:17:14,480 --> 00:17:17,879 Speaker 1: able to do. We are joined now by Kenny Shoe. 308 00:17:17,880 --> 00:17:20,960 Speaker 1: He's the president of the advocacy group color Us United, 309 00:17:21,040 --> 00:17:26,359 Speaker 1: author of an Inconvenient Minority, The Attack on Asian American Excellence, 310 00:17:26,400 --> 00:17:31,120 Speaker 1: and the Fight for Meritocracy. Kenny, appreciate you joining us. 311 00:17:31,480 --> 00:17:33,639 Speaker 1: A lot to dive into here, but I want to 312 00:17:33,680 --> 00:17:38,160 Speaker 1: start with what came out of San Francisco recently, which 313 00:17:38,400 --> 00:17:43,639 Speaker 1: was the recall by over seventy percent margins of three 314 00:17:43,760 --> 00:17:48,240 Speaker 1: different board members school board members in San Francisco. That was, 315 00:17:48,280 --> 00:17:52,480 Speaker 1: to a large extent, it appears driven by Asian parents 316 00:17:52,800 --> 00:17:57,120 Speaker 1: who were frustrated over the way that the woke ideology 317 00:17:57,280 --> 00:18:00,719 Speaker 1: was driving the San Francisco school board. Is that in 318 00:18:00,760 --> 00:18:04,960 Speaker 1: your mind, Kenny, emblematic of what many Asian parents all 319 00:18:05,000 --> 00:18:07,720 Speaker 1: over the country. Certainly we've heard a lot. I think 320 00:18:07,760 --> 00:18:10,240 Speaker 1: about in northern Virginia. I think it was Thomas Jefferson 321 00:18:10,320 --> 00:18:12,879 Speaker 1: High School with all of the elite high schools in 322 00:18:12,920 --> 00:18:17,040 Speaker 1: New York City, also Boston. Recently, there are major battlegrounds 323 00:18:17,080 --> 00:18:21,199 Speaker 1: over Asian students getting quote unquote too much of the 324 00:18:22,040 --> 00:18:25,080 Speaker 1: too many of the spots inside of these schools, and 325 00:18:25,119 --> 00:18:28,760 Speaker 1: it seems like it's really firing up Asian parents. Are 326 00:18:28,800 --> 00:18:31,919 Speaker 1: you seeing that in your experience? That is how I 327 00:18:31,960 --> 00:18:35,080 Speaker 1: see it. I've interviewed several of the people who actually 328 00:18:35,200 --> 00:18:38,560 Speaker 1: led that recall. In one this is the highest turnout 329 00:18:38,560 --> 00:18:42,520 Speaker 1: of Chinese Americans ever in San Francisco for a mid 330 00:18:42,680 --> 00:18:47,119 Speaker 1: year recall board recall election. Why is that? What do 331 00:18:47,119 --> 00:18:49,880 Speaker 1: you mean? What do they mean that they've gone woke? Well, 332 00:18:49,960 --> 00:18:53,560 Speaker 1: what happened was this is prestigious high school in San 333 00:18:53,560 --> 00:18:57,880 Speaker 1: Francisco called Lowell High School that admits on the basis 334 00:18:57,880 --> 00:19:00,520 Speaker 1: of merit grades, test scores, that kind of they even 335 00:19:00,520 --> 00:19:03,520 Speaker 1: have some diversity. Next in they decided to change that 336 00:19:03,600 --> 00:19:07,360 Speaker 1: to a lottery admission system, curbing the percentage of Asians 337 00:19:07,400 --> 00:19:11,399 Speaker 1: by over half, and so for many of these Chinese parents. 338 00:19:11,440 --> 00:19:15,480 Speaker 1: That represents their best opportunity to work hard and get 339 00:19:15,480 --> 00:19:18,320 Speaker 1: the merits, to get the reward for their hard work. 340 00:19:18,400 --> 00:19:21,159 Speaker 1: That's meritocracy. That's what we believe in as a country, 341 00:19:21,240 --> 00:19:24,680 Speaker 1: or what we should believe in. But this ideology that's 342 00:19:24,720 --> 00:19:28,400 Speaker 1: now put obsessed with diversity, obsessed with equity and everything 343 00:19:28,520 --> 00:19:31,600 Speaker 1: is now actually limiting opportunities for those who work hard 344 00:19:31,600 --> 00:19:35,440 Speaker 1: and achieve. Hey, Kenny's Kenny, it's Buck. I just want 345 00:19:35,440 --> 00:19:37,679 Speaker 1: to know, you know, we have a similar situation that 346 00:19:37,720 --> 00:19:40,399 Speaker 1: plays out almost every year. It feels like here in 347 00:19:40,440 --> 00:19:44,000 Speaker 1: New York City, which is my hometown, with there's a 348 00:19:44,080 --> 00:19:47,199 Speaker 1: number of schools. Stuyveson is the best known, Steveson, Bronx Science, 349 00:19:47,320 --> 00:19:50,280 Speaker 1: Brooklyn Tech, where it's just pure test score. You take 350 00:19:50,320 --> 00:19:52,960 Speaker 1: a test and these are public schools, and the highest 351 00:19:52,960 --> 00:19:55,720 Speaker 1: test scores go to one school, and then the next 352 00:19:55,760 --> 00:19:58,520 Speaker 1: traunch and then the next raunch. I almost went to 353 00:19:58,560 --> 00:20:01,080 Speaker 1: one of those public schools, almost went to Steveson. And 354 00:20:01,160 --> 00:20:04,480 Speaker 1: it always comes up in the social justice fights as 355 00:20:04,840 --> 00:20:08,200 Speaker 1: it's not fair, And they say it's not fair because 356 00:20:08,359 --> 00:20:11,760 Speaker 1: about seventy percent plus of the seventy percent plus of 357 00:20:11,800 --> 00:20:15,680 Speaker 1: Stuiveson High school in New York is Asian American, and 358 00:20:16,400 --> 00:20:18,679 Speaker 1: I want to know, how does the left, you know, 359 00:20:19,040 --> 00:20:21,879 Speaker 1: how does the left try to justify the It's not 360 00:20:22,040 --> 00:20:26,320 Speaker 1: fair that Asian Americans, including a lot of first generation immigrants, 361 00:20:26,320 --> 00:20:28,159 Speaker 1: in places like New York City. I'm sure there's similar 362 00:20:28,160 --> 00:20:31,520 Speaker 1: things playing out in San Francisco achieve, but there are 363 00:20:31,520 --> 00:20:34,800 Speaker 1: too many of them achieving, so we have to discriminate 364 00:20:34,880 --> 00:20:37,520 Speaker 1: against them to make things more fair, Like how does 365 00:20:37,520 --> 00:20:40,720 Speaker 1: the left square that circle? The left is playing a 366 00:20:40,920 --> 00:20:44,760 Speaker 1: very conniving game with Asian Americans, which, by the way, 367 00:20:44,760 --> 00:20:48,480 Speaker 1: I wrote an entire chapter on New York City's schools 368 00:20:48,520 --> 00:20:51,480 Speaker 1: for my book, An Inconvenient Minority. But they're playing a 369 00:20:51,600 --> 00:20:55,320 Speaker 1: very conniving game because they are subtly saying that all 370 00:20:55,359 --> 00:20:58,160 Speaker 1: of the hard work that the Asians put into studying 371 00:20:58,160 --> 00:21:00,320 Speaker 1: for the test, By the way, Asian study twice many 372 00:21:00,320 --> 00:21:03,359 Speaker 1: hours as the average American. They believe in education as 373 00:21:03,400 --> 00:21:06,560 Speaker 1: an opportunity, they work really hard. They are subtly saying 374 00:21:06,600 --> 00:21:09,639 Speaker 1: that that is a form of privilege. They're subtenly saying 375 00:21:09,680 --> 00:21:12,800 Speaker 1: that the reason why they are overrepresented is because they're 376 00:21:12,800 --> 00:21:16,919 Speaker 1: a privileged group, and they're not a privileged group. The 377 00:21:17,040 --> 00:21:19,520 Speaker 1: reason why they are able to achieve. It is because 378 00:21:19,560 --> 00:21:23,160 Speaker 1: they study their butts off for these tests, and they 379 00:21:23,200 --> 00:21:27,200 Speaker 1: work really hard in school, and that should be celebrated 380 00:21:27,240 --> 00:21:30,080 Speaker 1: in this country, but instead the left detegrates it because 381 00:21:30,119 --> 00:21:34,720 Speaker 1: it's overrepresented. Amen, Kenny, and I think it's worth mentioning 382 00:21:34,760 --> 00:21:39,280 Speaker 1: here merit based testing, the SAT and the ACT. The 383 00:21:39,480 --> 00:21:44,760 Speaker 1: rise of these college admissions tests was because Ivy League 384 00:21:44,800 --> 00:21:49,639 Speaker 1: schools were discriminating against Jewish students, and the idea was, 385 00:21:49,760 --> 00:21:53,560 Speaker 1: we need a meritocracy so everyone can be considered equally. 386 00:21:54,200 --> 00:21:58,200 Speaker 1: And now you are hearing many of these elite institutions 387 00:21:58,280 --> 00:22:01,359 Speaker 1: are deciding and certainly the Supreme Court has been examining 388 00:22:01,400 --> 00:22:04,399 Speaker 1: this as this has worked its way through the circuit courts. 389 00:22:06,040 --> 00:22:09,720 Speaker 1: It appears the Ivy League schools are now discriminating against 390 00:22:09,760 --> 00:22:14,600 Speaker 1: Asian people because there are too many highly qualified Asian students, 391 00:22:14,640 --> 00:22:16,640 Speaker 1: not just the public schools, although that's been a big 392 00:22:16,720 --> 00:22:20,600 Speaker 1: topic of discussion as well. It's that now because Asians 393 00:22:20,600 --> 00:22:23,600 Speaker 1: are doing so well on the standardized test, they are 394 00:22:23,640 --> 00:22:26,439 Speaker 1: talking about doing away with them, which, to your point, Kenny, 395 00:22:26,680 --> 00:22:31,200 Speaker 1: flies directly in the face of the meritocracy argument because 396 00:22:31,400 --> 00:22:35,879 Speaker 1: the diversity and inclusion standards are not a perfect representation 397 00:22:35,960 --> 00:22:40,199 Speaker 1: of the American populace. Asians are overrepresented. We have to 398 00:22:40,240 --> 00:22:43,880 Speaker 1: do away with testing. This is crazy, right right, And 399 00:22:44,160 --> 00:22:46,600 Speaker 1: I'm about to say a very important truth that I 400 00:22:46,680 --> 00:22:51,360 Speaker 1: need your listeners to listen goal closely. Asian Americans make 401 00:22:51,480 --> 00:22:56,160 Speaker 1: up a disproportionate of the nation's high achieving teenagers. That's 402 00:22:56,200 --> 00:22:59,720 Speaker 1: just a fact. And that's just a fact. So the 403 00:22:59,760 --> 00:23:03,680 Speaker 1: fact that Harvard is forty you would be forty three 404 00:23:03,720 --> 00:23:07,359 Speaker 1: percent Asian if they dismantled racing admissions, should not be 405 00:23:07,400 --> 00:23:11,720 Speaker 1: a surprise to your viewers, to your listeners. What is 406 00:23:11,720 --> 00:23:15,399 Speaker 1: a surprise is that Harvard has been actually keeping a 407 00:23:15,600 --> 00:23:19,800 Speaker 1: ceiling on Asian Americans below twenty percent for the past 408 00:23:19,840 --> 00:23:23,280 Speaker 1: thirty thirty five years. And they do this in the 409 00:23:23,359 --> 00:23:26,879 Speaker 1: name of tolerance and diversity. So in the name of 410 00:23:26,960 --> 00:23:30,320 Speaker 1: tolerance and diversity, they're making an exclusive system that's limiting 411 00:23:30,359 --> 00:23:33,880 Speaker 1: the most highly qualified applicants in our schools. That's what's 412 00:23:33,880 --> 00:23:37,600 Speaker 1: happening in our country today. We are putting way too 413 00:23:37,680 --> 00:23:42,000 Speaker 1: much weight in this racial narrative and we're diminishing our meritocracy. Kenny, 414 00:23:42,000 --> 00:23:46,960 Speaker 1: how do you think we can actually get more Asian 415 00:23:46,960 --> 00:23:53,720 Speaker 1: Americans to vote for the not affirmative action supporting Republican Party. 416 00:23:53,760 --> 00:23:56,320 Speaker 1: I mean, how do you think we can get more 417 00:23:56,359 --> 00:23:58,879 Speaker 1: Asian Americans to come along and realize I mean there's 418 00:23:58,960 --> 00:24:05,080 Speaker 1: high achieving obviously hire per capita household income among Asian Americans, 419 00:24:05,080 --> 00:24:09,640 Speaker 1: then Caucasian Americans. So there's tremendous success within the Asian 420 00:24:09,640 --> 00:24:13,000 Speaker 1: American community. What is an app that what has to 421 00:24:13,040 --> 00:24:16,080 Speaker 1: happen here for the GOP to get more more Asian 422 00:24:16,119 --> 00:24:18,680 Speaker 1: American votes? Bottom line, I think I think you need 423 00:24:18,720 --> 00:24:22,399 Speaker 1: to explain clearly the stakes of what's going on, because 424 00:24:22,440 --> 00:24:24,840 Speaker 1: you need to tell these Asian Americans. But the truth, 425 00:24:25,119 --> 00:24:28,119 Speaker 1: which is it's not just going to be in college admissions. 426 00:24:28,240 --> 00:24:31,600 Speaker 1: If you let this ideology in the Democratic Party fester, 427 00:24:31,680 --> 00:24:33,720 Speaker 1: it's going to take over everything. It's going to take 428 00:24:33,760 --> 00:24:37,240 Speaker 1: over college, high school, it's gonna take over your jobs. 429 00:24:37,760 --> 00:24:40,960 Speaker 1: Now an American Express, which we're fighting right now, they're 430 00:24:41,000 --> 00:24:43,960 Speaker 1: giving bonuses to hire for equity, meaning that they're going 431 00:24:44,000 --> 00:24:47,400 Speaker 1: to start discriminating against Whites and Asians for hiring. It's 432 00:24:47,440 --> 00:24:49,480 Speaker 1: going to follow you for the rest of your life. 433 00:24:50,119 --> 00:24:52,600 Speaker 1: You want your child to be rewarded for his hard work. 434 00:24:52,840 --> 00:24:56,879 Speaker 1: Stop supporting race preferences and By the way, sign up 435 00:24:56,880 --> 00:25:00,760 Speaker 1: for our campaign at un American Express dot com. Kenny, 436 00:25:00,800 --> 00:25:04,800 Speaker 1: this is fascinating to me because the Democratic Party's entire 437 00:25:04,920 --> 00:25:09,119 Speaker 1: argument is white supremacy is the biggest threat to America. 438 00:25:09,160 --> 00:25:12,080 Speaker 1: And then you look at the data, and I believe 439 00:25:12,119 --> 00:25:15,640 Speaker 1: I'm still correct in this. Asian men per capita make 440 00:25:15,720 --> 00:25:18,960 Speaker 1: more money than any other race or gender ethnic group 441 00:25:19,000 --> 00:25:21,919 Speaker 1: in America. That is, Asian men are the highest earning 442 00:25:21,960 --> 00:25:26,479 Speaker 1: per capita on average. You've got, as we just talked about, 443 00:25:26,520 --> 00:25:30,640 Speaker 1: these individual stories of excellence from Asian people who buy 444 00:25:30,640 --> 00:25:34,959 Speaker 1: in large are not test scoring high as high earning 445 00:25:35,040 --> 00:25:37,600 Speaker 1: necessarily right families, These are a lot of first generation 446 00:25:37,640 --> 00:25:40,240 Speaker 1: immigrant families, as you said, that are working super hard 447 00:25:40,600 --> 00:25:44,679 Speaker 1: in schooling and testing what we're now seeing and I 448 00:25:44,720 --> 00:25:47,280 Speaker 1: want to hear you know what the Asian response when 449 00:25:47,320 --> 00:25:51,080 Speaker 1: you have conversations with people about this is, we're now hearing, well, 450 00:25:52,200 --> 00:25:56,280 Speaker 1: there may be white supremacy, but the Asian community is 451 00:25:56,280 --> 00:26:00,119 Speaker 1: not a minority community. They are white adjacent because the 452 00:26:00,160 --> 00:26:02,919 Speaker 1: Asian community is having too much success. And even the 453 00:26:02,960 --> 00:26:06,640 Speaker 1: concept of white adjacent is so ridiculous because really, the 454 00:26:06,680 --> 00:26:10,480 Speaker 1: Asian American experience in this country right now does offer 455 00:26:10,800 --> 00:26:14,720 Speaker 1: the the what is it? I believe the ultimate story 456 00:26:14,760 --> 00:26:17,560 Speaker 1: that America tells, which is you can be rewarded the 457 00:26:17,600 --> 00:26:19,919 Speaker 1: harder you work, no matter what your race or ethnic 458 00:26:19,960 --> 00:26:22,800 Speaker 1: group background is. Do Asian people in general and your 459 00:26:22,800 --> 00:26:25,920 Speaker 1: experience buy into this argument? And to bucks point, are 460 00:26:25,960 --> 00:26:31,040 Speaker 1: they increasingly moving towards the Republican Party over this issue? Well, 461 00:26:31,080 --> 00:26:33,359 Speaker 1: there's a lot of questions there. I'll start with the 462 00:26:33,440 --> 00:26:36,399 Speaker 1: last one. Yes, they are moving to Republicans. More Asians 463 00:26:36,480 --> 00:26:39,320 Speaker 1: voted for YUNKN in twenty twenty one than they have 464 00:26:39,760 --> 00:26:45,240 Speaker 1: you know, Obama or John Kerry, you know, even But 465 00:26:45,560 --> 00:26:49,680 Speaker 1: to the question of white adjacency, think about what you're 466 00:26:49,720 --> 00:26:52,600 Speaker 1: really saying when you say Asians or white adjacent you're 467 00:26:52,680 --> 00:27:02,280 Speaker 1: saying that hard work, studying, test preparations, or preparation in general, discipline, 468 00:27:02,600 --> 00:27:06,720 Speaker 1: low rates of crime, and strong family values are white 469 00:27:07,480 --> 00:27:13,199 Speaker 1: or white values. That's what you're saying. That's racist Black people, 470 00:27:13,320 --> 00:27:16,240 Speaker 1: Hispanic people. Asian people have proven over and over again 471 00:27:16,280 --> 00:27:19,000 Speaker 1: that people who adopt all of those kinds of values, 472 00:27:19,480 --> 00:27:23,080 Speaker 1: in any race, any culture, are capable of success in 473 00:27:23,119 --> 00:27:28,120 Speaker 1: this country. So my message to the Asian listeners of 474 00:27:28,160 --> 00:27:31,399 Speaker 1: your show right now is think carefully about what you 475 00:27:31,440 --> 00:27:34,680 Speaker 1: are really saying when you were spouting off these talking points. 476 00:27:35,760 --> 00:27:40,399 Speaker 1: It's fascinating how the treatment here is because it definitely 477 00:27:40,480 --> 00:27:44,440 Speaker 1: destroys the argument of a white supremacist country to have 478 00:27:44,720 --> 00:27:49,400 Speaker 1: Asian people dominating in all of these charatocratic universes, right, 479 00:27:49,440 --> 00:27:52,880 Speaker 1: I mean, it's amazing. This is why the Asian Americans 480 00:27:52,880 --> 00:27:56,720 Speaker 1: are the inconvenient minority. This is whether the inconvenient minority, 481 00:27:56,800 --> 00:28:01,320 Speaker 1: because how could a white supremacist country let this a 482 00:28:01,400 --> 00:28:04,800 Speaker 1: truly white supermacist country, as in governed by whites who 483 00:28:04,840 --> 00:28:08,440 Speaker 1: want whites to advance at the expense of others, Why 484 00:28:08,480 --> 00:28:12,000 Speaker 1: would they let this group of Asians beat them in 485 00:28:12,119 --> 00:28:15,840 Speaker 1: college attainment and average salaries. Asian men have the highest salaries. No, 486 00:28:16,320 --> 00:28:18,800 Speaker 1: that's not the kind of country that this country is. 487 00:28:18,800 --> 00:28:20,840 Speaker 1: And we have to debunk this notion right away. And 488 00:28:20,920 --> 00:28:26,600 Speaker 1: Asian Americans do play Travis buck Sexton show. We appreciate 489 00:28:26,680 --> 00:28:32,359 Speaker 1: all of you hanging out with us. Buck Sexton is 490 00:28:32,440 --> 00:28:38,400 Speaker 1: now an engaged man. Congratulations, Buck. I believe based on 491 00:28:38,440 --> 00:28:40,960 Speaker 1: the photo that I saw you did it from, is 492 00:28:41,000 --> 00:28:43,320 Speaker 1: that your apartment building in New York City? To me 493 00:28:43,520 --> 00:28:47,360 Speaker 1: that I have seen amazing view up there. What was 494 00:28:47,400 --> 00:28:51,080 Speaker 1: it like to Actually, you've never proposed before. Nope, you 495 00:28:51,120 --> 00:28:54,480 Speaker 1: are a forty year old man who has never been engaged, 496 00:28:54,600 --> 00:28:58,520 Speaker 1: never married. What was the experience like and how quickly 497 00:28:59,240 --> 00:29:03,480 Speaker 1: has the wedding apparatus shifted into full speed? Because I'll 498 00:29:03,480 --> 00:29:06,800 Speaker 1: tell you when I got engaged many years ago, the 499 00:29:06,840 --> 00:29:09,480 Speaker 1: thing that most stunned me about it was how much 500 00:29:09,680 --> 00:29:13,920 Speaker 1: knowledge women all carry in their head about weddings that 501 00:29:14,040 --> 00:29:17,160 Speaker 1: I had never given a thought to. How quickly that 502 00:29:17,240 --> 00:29:21,280 Speaker 1: process was underway soon after I got engaged. Give you 503 00:29:21,320 --> 00:29:23,120 Speaker 1: a couple of things, and then I promised, we'll talk 504 00:29:23,120 --> 00:29:25,600 Speaker 1: about the news for everybody. People are good people. People 505 00:29:25,680 --> 00:29:29,719 Speaker 1: want to hear about this, Yes they do, so. Uh. 506 00:29:29,880 --> 00:29:31,760 Speaker 1: The one thing I will say is pretty pretty funny. 507 00:29:31,760 --> 00:29:34,640 Speaker 1: But she had absolutely no idea. So I had met 508 00:29:34,680 --> 00:29:37,240 Speaker 1: with her dad because I went and asked for the hand. 509 00:29:37,320 --> 00:29:40,560 Speaker 1: I went down to Asheville, where her family has a home. Yes, 510 00:29:40,680 --> 00:29:43,920 Speaker 1: and obviously Asheville was a memorable experience for many reasons, 511 00:29:44,240 --> 00:29:47,680 Speaker 1: and I asked for her hand from her father. How 512 00:29:47,680 --> 00:29:49,360 Speaker 1: did you do that? By the way, how did you 513 00:29:49,480 --> 00:29:52,280 Speaker 1: end up isoed where you asked him to take me 514 00:29:52,320 --> 00:29:54,400 Speaker 1: to see a piece of property that they were thinking 515 00:29:54,440 --> 00:29:58,720 Speaker 1: about smart. So we kind of went the woods. Yeah 516 00:29:58,760 --> 00:30:01,560 Speaker 1: you know, yeah, and so I asked for the hand 517 00:30:01,600 --> 00:30:06,440 Speaker 1: and then the plan was to just find a perfect 518 00:30:06,480 --> 00:30:09,480 Speaker 1: sunset on the rooftop when nobody, nobody would be up there. 519 00:30:09,960 --> 00:30:12,200 Speaker 1: Yeah and uh and I, you know, I went up there. 520 00:30:12,200 --> 00:30:14,840 Speaker 1: She had no idea, so I went. It was Saturday night. 521 00:30:15,040 --> 00:30:17,360 Speaker 1: Is this Saturday after Saturday night? Saturday night? Yeah? It 522 00:30:17,440 --> 00:30:19,240 Speaker 1: was really nice. I actually saw two listeners who were 523 00:30:19,320 --> 00:30:21,360 Speaker 1: visiting New York City from Chicago on our way to 524 00:30:21,400 --> 00:30:23,360 Speaker 1: the restaurant, and they're like, hey, Buck. I was like, 525 00:30:23,400 --> 00:30:25,560 Speaker 1: I just got engaged, Like we listened all the times. 526 00:30:25,640 --> 00:30:27,360 Speaker 1: That was great. We had some visitors from I saw 527 00:30:27,400 --> 00:30:30,760 Speaker 1: the picture go out on social media too. You texted Ali, 528 00:30:30,880 --> 00:30:34,280 Speaker 1: who also, by the way, we should mention engaged like 529 00:30:34,400 --> 00:30:36,480 Speaker 1: last week too. I know love is in the air 530 00:30:36,520 --> 00:30:39,440 Speaker 1: on the Clay and Buck Show. Yeah, there's producer Ali 531 00:30:39,560 --> 00:30:42,560 Speaker 1: is engaged a couple of weeks ago. I'm engaged now. 532 00:30:42,640 --> 00:30:44,880 Speaker 1: So as for the wedding stuff, I will tell you 533 00:30:44,920 --> 00:30:49,280 Speaker 1: man that our basic approach to this and and then 534 00:30:49,280 --> 00:30:52,120 Speaker 1: we have to start trashing Joe Biden, our basic approach 535 00:30:52,160 --> 00:30:53,920 Speaker 1: to this is we're gonna try to throw a big 536 00:30:53,960 --> 00:30:57,760 Speaker 1: fun engagement part at New York City for everybody. You'll 537 00:30:57,760 --> 00:30:59,840 Speaker 1: be invited the team, you know, we'll just we just 538 00:30:59,840 --> 00:31:02,240 Speaker 1: want to throw a big party in New York and 539 00:31:02,280 --> 00:31:06,080 Speaker 1: then we're gonna have a immediate family and you know, 540 00:31:06,200 --> 00:31:08,400 Speaker 1: best man best what do you not best one? What 541 00:31:08,400 --> 00:31:10,560 Speaker 1: do you call it? And brought made of honor or whatever. Yeah, 542 00:31:10,960 --> 00:31:15,240 Speaker 1: but like just very small um at a church sooner 543 00:31:15,360 --> 00:31:18,440 Speaker 1: rather than later, Like what's the time frame, like in 544 00:31:18,440 --> 00:31:20,640 Speaker 1: the next six months, which is in the next six months. 545 00:31:20,640 --> 00:31:22,720 Speaker 1: I mean, because this is my understanding, and I'm sure 546 00:31:22,720 --> 00:31:25,000 Speaker 1: a lot of people out there listening know this. This 547 00:31:25,120 --> 00:31:30,440 Speaker 1: is the busiest year for weddings on record. I believe. 548 00:31:30,640 --> 00:31:33,080 Speaker 1: I actually was down when I was at Rosemary Beach 549 00:31:33,480 --> 00:31:35,320 Speaker 1: one of the times Buck I was working out in 550 00:31:35,360 --> 00:31:37,520 Speaker 1: the gym and the guy next to me was a 551 00:31:37,560 --> 00:31:40,880 Speaker 1: big fan and he owned wedding venues all over the 552 00:31:40,920 --> 00:31:45,200 Speaker 1: country West Coast primarily, and he was talking. So I 553 00:31:44,920 --> 00:31:47,080 Speaker 1: was working out there in the in the gym. I 554 00:31:47,120 --> 00:31:48,840 Speaker 1: was just died him for fifteen or twenty minutes on 555 00:31:48,880 --> 00:31:51,840 Speaker 1: the machine and uh, and he was talking about how 556 00:31:51,920 --> 00:31:55,720 Speaker 1: busy all of it is. Every day of the week. Basically, 557 00:31:55,760 --> 00:31:58,520 Speaker 1: people are getting married now because so many people couldn't 558 00:31:58,640 --> 00:32:01,480 Speaker 1: in twenty twenty twenty twenty one because of COVID, and 559 00:32:01,520 --> 00:32:04,480 Speaker 1: twenty twenty two is supposedly the biggest wedding year ever. 560 00:32:04,600 --> 00:32:08,840 Speaker 1: So this is this is stressing me out a little bit. Now, Yeah, 561 00:32:08,960 --> 00:32:10,600 Speaker 1: you know, I'll have to figure all this stuff out, 562 00:32:10,600 --> 00:32:13,760 Speaker 1: but yeah, we canna get married. So there we go fast, 563 00:32:13,800 --> 00:32:17,280 Speaker 1: So let's go. Well, congratulations. The pictures are up on 564 00:32:17,320 --> 00:32:19,440 Speaker 1: social media. They should be up on Clay and buck 565 00:32:19,480 --> 00:32:21,680 Speaker 1: dot com if they're not already. If you want to 566 00:32:21,720 --> 00:32:25,560 Speaker 1: go see Buck proposing to the lovely Carry and Carry 567 00:32:25,640 --> 00:32:27,760 Speaker 1: your producer at Fox News for anyone who's wondering. So 568 00:32:27,840 --> 00:32:30,400 Speaker 1: that's how Carrie and I. That's that's that's the connection. 569 00:32:30,440 --> 00:32:31,960 Speaker 1: That's how we know each other, and that's how it 570 00:32:31,960 --> 00:32:35,040 Speaker 1: all got going. That's awesome. Well, and her dad is 571 00:32:35,120 --> 00:32:38,440 Speaker 1: a third generation Fighter pilot. So you thought you were 572 00:32:38,520 --> 00:32:41,080 Speaker 1: kind of a badass because you're a CIA analyst formerly, 573 00:32:41,120 --> 00:32:43,000 Speaker 1: and good humbled law is way bigger of a badas, 574 00:32:43,120 --> 00:32:44,560 Speaker 1: let's be honest, good to be humbled. So