1 00:00:00,320 --> 00:00:04,520 Speaker 1: Power three play and Buck kicks off. Now appreciate you 2 00:00:04,559 --> 00:00:07,040 Speaker 1: being with us. Much to discuss. As we know, the 3 00:00:07,440 --> 00:00:10,760 Speaker 1: conviction of Donald Trump came down last week and the 4 00:00:10,800 --> 00:00:16,120 Speaker 1: Trump campaign is charging forward. This is certainly not going 5 00:00:16,160 --> 00:00:18,200 Speaker 1: to stop Trump, and there's plenty of reason to believe 6 00:00:18,239 --> 00:00:22,880 Speaker 1: that it might energize his base. It might energize even 7 00:00:22,920 --> 00:00:25,919 Speaker 1: more than that with the American people seeing the Lawfare 8 00:00:26,079 --> 00:00:30,600 Speaker 1: campaign continuing to unfold in a way that is just 9 00:00:31,440 --> 00:00:35,920 Speaker 1: a disgrace to our system of justice in this country. 10 00:00:36,760 --> 00:00:45,080 Speaker 1: Clear election interference, obvious rigging of the upcoming political contest 11 00:00:45,120 --> 00:00:48,320 Speaker 1: this fall. So with all that going on, Trump is 12 00:00:48,360 --> 00:00:52,280 Speaker 1: not backing down an inch. He is, for example, pointing 13 00:00:52,280 --> 00:00:56,360 Speaker 1: out that Biden is, in case you were wondering, the 14 00:00:56,400 --> 00:00:59,400 Speaker 1: worst president, this is cut seven, the worst president in 15 00:00:59,440 --> 00:01:00,400 Speaker 1: the history of the country. 16 00:01:00,440 --> 00:01:01,120 Speaker 2: Play it now. 17 00:01:01,200 --> 00:01:05,040 Speaker 3: The impeachment drive proved that there were no crimes, much 18 00:01:05,080 --> 00:01:08,120 Speaker 3: less high crimes and misdemeanors committed by the president. This 19 00:01:08,280 --> 00:01:11,960 Speaker 3: investigation of doctor Fauci shows that he is an honorable 20 00:01:12,000 --> 00:01:15,080 Speaker 3: public servant, committed to public health, and he is not 21 00:01:15,319 --> 00:01:18,800 Speaker 3: a comic book super villain. He did not fund research 22 00:01:19,080 --> 00:01:22,760 Speaker 3: to create the COVID nineteen pandemic. He did not lie 23 00:01:22,800 --> 00:01:26,440 Speaker 3: to Congress about gain of function research in Wuhan, and 24 00:01:26,520 --> 00:01:30,679 Speaker 3: he did not organize a lab leak suppression campaign to. 25 00:01:30,600 --> 00:01:31,680 Speaker 2: Cover his tracks. 26 00:01:31,800 --> 00:01:35,840 Speaker 3: These are outrageous concoctions, fabrications, and distortions. 27 00:01:36,600 --> 00:01:38,720 Speaker 2: Wichi is not a good dude. 28 00:01:38,800 --> 00:01:43,320 Speaker 4: But that also was not Biden being called out as 29 00:01:43,360 --> 00:01:44,720 Speaker 4: being the worst president ever. 30 00:01:45,280 --> 00:01:47,200 Speaker 1: Okay, so I'm going to assume that we're having a 31 00:01:47,200 --> 00:01:49,480 Speaker 1: little disconnect on the clip situation here for a second. 32 00:01:49,520 --> 00:01:52,560 Speaker 1: I'm just going to speak on the radio and we'll 33 00:01:52,560 --> 00:01:55,960 Speaker 1: get this squared away in a little bit. In the meantime, 34 00:01:56,320 --> 00:02:01,400 Speaker 1: Trump is saying that he's going to dotations. He said, 35 00:02:01,480 --> 00:02:06,360 Speaker 1: quote the biggest ever. It's gonna be the biggest deportations 36 00:02:06,400 --> 00:02:09,960 Speaker 1: in history. Meanwhile, Joe Biden Clay, I don't know if 37 00:02:10,000 --> 00:02:12,520 Speaker 1: you called this. I know it's cut nine. Just cut nine. 38 00:02:12,520 --> 00:02:15,120 Speaker 1: Actually mean cut nine this time because cut seven was 39 00:02:15,120 --> 00:02:17,679 Speaker 1: something else. Let's try let's try cut nine. 40 00:02:17,720 --> 00:02:18,000 Speaker 2: Go ahead. 41 00:02:18,040 --> 00:02:21,120 Speaker 5: Now, I'm gonna do the big deportation, the biggest ever. 42 00:02:21,240 --> 00:02:24,160 Speaker 5: Eisenhower did the biggest. This will be bigger. But it's 43 00:02:24,200 --> 00:02:26,760 Speaker 5: a very tough thing. What they've done to our country 44 00:02:26,840 --> 00:02:29,280 Speaker 5: is unthinkable, because you know, the radical left is going 45 00:02:29,320 --> 00:02:32,040 Speaker 5: to start saying, oh lovely, so you'll get rid of 46 00:02:32,120 --> 00:02:36,160 Speaker 5: ten really bad ones and one, you know, beautiful mother 47 00:02:36,720 --> 00:02:39,000 Speaker 5: who they think is s guilty of something and maybe 48 00:02:39,000 --> 00:02:42,840 Speaker 5: she is, maybe, and it'll become a story or a 49 00:02:42,880 --> 00:02:45,240 Speaker 5: family that's a good family and came in wrong, and 50 00:02:45,280 --> 00:02:46,880 Speaker 5: you know they're going to show it. Then it's going 51 00:02:46,960 --> 00:02:48,720 Speaker 5: to always be tough. It's not going to be easy, 52 00:02:48,960 --> 00:02:50,960 Speaker 5: and we have to use a lot of good judgment. 53 00:02:51,000 --> 00:02:52,280 Speaker 5: But the way you get rid of him is the 54 00:02:52,280 --> 00:02:53,320 Speaker 5: local police. 55 00:02:54,000 --> 00:02:54,440 Speaker 2: All right. 56 00:02:54,480 --> 00:02:57,959 Speaker 1: So he's saying there's gonna be massive deportations. Meanwhile, play 57 00:02:58,720 --> 00:03:03,280 Speaker 1: Biden is there telling everybody he's expected to issue a 58 00:03:03,360 --> 00:03:09,360 Speaker 1: quote long anticipated executive order tomorrow they believe to partially 59 00:03:09,400 --> 00:03:13,680 Speaker 1: shut down asylum processing along the US Mexico border. This 60 00:03:13,840 --> 00:03:17,880 Speaker 1: is reporting by CBS News, which I'm sure has plenty 61 00:03:17,919 --> 00:03:20,160 Speaker 1: of people in the Biden White House that are happy 62 00:03:20,200 --> 00:03:23,760 Speaker 1: to feed them news stories. So Biden taking action at 63 00:03:23,800 --> 00:03:26,480 Speaker 1: the border because he realizes I think this is one 64 00:03:26,520 --> 00:03:30,520 Speaker 1: of the greatest vulnerabilities that the Biden administration has not 65 00:03:30,560 --> 00:03:32,679 Speaker 1: talked about as much in the news cycle as it 66 00:03:32,760 --> 00:03:37,040 Speaker 1: had previously been. But still, if you look at the numbers, 67 00:03:37,640 --> 00:03:40,600 Speaker 1: Biden is going to have to contend with eight million 68 00:03:41,000 --> 00:03:45,040 Speaker 1: illegals in four years entering the United States on his watch, 69 00:03:45,040 --> 00:03:46,640 Speaker 1: and I know the number is higher than that, but 70 00:03:46,760 --> 00:03:50,320 Speaker 1: it's at least eight million officially is going to be 71 00:03:50,400 --> 00:03:51,160 Speaker 1: the final number. 72 00:03:52,960 --> 00:03:58,480 Speaker 4: I think also, this is their long range plan. They 73 00:03:58,920 --> 00:04:03,200 Speaker 4: really firmly leave that it's going to be virtually impossible 74 00:04:03,240 --> 00:04:05,560 Speaker 4: to ever get these people out of the country. I 75 00:04:05,600 --> 00:04:10,200 Speaker 4: think that's their plan. And I understand the argument from 76 00:04:10,280 --> 00:04:14,360 Speaker 4: Trump of We're going to begin the largest deportation in 77 00:04:14,400 --> 00:04:16,520 Speaker 4: American history, But do you know what's going to happen. 78 00:04:17,240 --> 00:04:20,880 Speaker 4: As soon as the deportation starts, AOC is going to 79 00:04:20,920 --> 00:04:23,760 Speaker 4: put on her white outfit and she's going to go 80 00:04:23,839 --> 00:04:27,880 Speaker 4: stand outside of some deportation camp and she's gonna cry, 81 00:04:28,320 --> 00:04:33,000 Speaker 4: and it's going to be the lead story on ABC, NBC, CBS, 82 00:04:33,760 --> 00:04:40,000 Speaker 4: everybody out there, certainly MSNBC and CNN. Republicans who are 83 00:04:40,360 --> 00:04:46,919 Speaker 4: really weak just cannot manage or stomach any criticism at all, 84 00:04:47,640 --> 00:04:51,440 Speaker 4: will go all week in the knees and this I'm 85 00:04:51,520 --> 00:04:57,960 Speaker 4: just predicting flag this. As soon as the public criticism starts, 86 00:04:58,960 --> 00:05:02,919 Speaker 4: they will have it here the deportations. They'll talk about 87 00:05:02,960 --> 00:05:06,400 Speaker 4: how moms and dads are being taken away from their kids. 88 00:05:07,000 --> 00:05:09,840 Speaker 4: All of this is going to make it virtually impossible 89 00:05:09,880 --> 00:05:13,240 Speaker 4: to say nothing buck of the fact that by the 90 00:05:13,360 --> 00:05:16,400 Speaker 4: time we start some of these deportations, people are going 91 00:05:16,440 --> 00:05:18,200 Speaker 4: to be in this country. They're going to be married, 92 00:05:18,279 --> 00:05:21,400 Speaker 4: They're gonna have had kids, which means their kids are 93 00:05:21,440 --> 00:05:24,560 Speaker 4: American citizens. I'm just predicting how all this is going 94 00:05:24,640 --> 00:05:28,080 Speaker 4: to go. Democrats create the problem, and then as soon 95 00:05:28,120 --> 00:05:30,480 Speaker 4: as the solution has tried to be put in place, 96 00:05:30,800 --> 00:05:34,000 Speaker 4: they're going to lose their minds over the solution and 97 00:05:34,120 --> 00:05:37,440 Speaker 4: their ultimate goal, Make no mistake about it, is all 98 00:05:37,440 --> 00:05:39,599 Speaker 4: these people are. They want to be citizens, and they 99 00:05:39,680 --> 00:05:42,279 Speaker 4: want them voting. That's what's going on. They're playing the 100 00:05:42,320 --> 00:05:45,200 Speaker 4: long game here, and even if you're a great president, 101 00:05:45,279 --> 00:05:48,560 Speaker 4: Trump only gets four years. They know that you're never 102 00:05:48,640 --> 00:05:51,800 Speaker 4: going to really have the consistency that you need to 103 00:05:51,920 --> 00:05:55,000 Speaker 4: solve the border problem. Once they let in eight ten 104 00:05:55,080 --> 00:05:57,520 Speaker 4: What do you even think is the over under number 105 00:05:57,720 --> 00:06:01,279 Speaker 4: legit of illegal immigrants that are in the United States 106 00:06:01,360 --> 00:06:01,760 Speaker 4: right now? 107 00:06:01,960 --> 00:06:05,320 Speaker 1: I would guess that it's eight million that have entered 108 00:06:05,360 --> 00:06:08,560 Speaker 1: through the phony asylum process that they do across the 109 00:06:08,640 --> 00:06:11,640 Speaker 1: US Mexican border, and then something like a half a 110 00:06:11,720 --> 00:06:16,520 Speaker 1: million got aways plus visa overstays, which is another way 111 00:06:16,520 --> 00:06:19,400 Speaker 1: that people become illegals in the country. They just come 112 00:06:19,440 --> 00:06:21,440 Speaker 1: and say, you know, I'm on a tourist visa and 113 00:06:21,520 --> 00:06:22,359 Speaker 1: they never go home. 114 00:06:22,839 --> 00:06:23,800 Speaker 2: Uh. And the you know they. 115 00:06:23,800 --> 00:06:26,320 Speaker 1: Often need is to join family members or whatever who 116 00:06:26,360 --> 00:06:29,600 Speaker 1: are here. So I would say eight point five. I 117 00:06:29,640 --> 00:06:32,920 Speaker 1: mean I would sorry ten million. I think the actual 118 00:06:33,000 --> 00:06:35,719 Speaker 1: number of additional illegals who have entered the United States 119 00:06:35,720 --> 00:06:38,400 Speaker 1: while Joe Biden has been president is ten million. 120 00:06:38,760 --> 00:06:41,560 Speaker 4: Okay, So think about that number, and I don't think 121 00:06:41,560 --> 00:06:43,839 Speaker 4: that's a crazy number at all. I think that's a 122 00:06:43,960 --> 00:06:45,560 Speaker 4: very reasonable number. 123 00:06:45,880 --> 00:06:47,919 Speaker 1: Of the official is already six million, right, I mean, 124 00:06:47,920 --> 00:06:50,160 Speaker 1: the official I think is like six point five. Just 125 00:06:50,200 --> 00:06:52,680 Speaker 1: so everyone's clear, I'm just adding the final year of 126 00:06:52,720 --> 00:06:56,279 Speaker 1: Biden call it a million five and then adding god 127 00:06:56,279 --> 00:06:57,480 Speaker 1: aways and visa overstays. 128 00:06:57,560 --> 00:07:00,240 Speaker 2: Right. So I don't think ten million, is it might be? Oh? 129 00:07:00,279 --> 00:07:04,800 Speaker 4: Actually, I think that's a very reasonable realistic number. 130 00:07:05,800 --> 00:07:07,960 Speaker 2: You want to know. I mean, this is crazy to 131 00:07:08,000 --> 00:07:09,280 Speaker 2: think about. 132 00:07:09,920 --> 00:07:16,600 Speaker 4: If you look at populations, most states don't have ten 133 00:07:17,000 --> 00:07:25,080 Speaker 4: million people in them. In fact, Michigan, the state of 134 00:07:25,120 --> 00:07:28,640 Speaker 4: Michigan has ten million people in it right now. It 135 00:07:28,720 --> 00:07:32,400 Speaker 4: is the tenth biggest state in the country right now, 136 00:07:32,720 --> 00:07:37,480 Speaker 4: ten million people in Michigan. We effectively have brought to 137 00:07:37,560 --> 00:07:41,400 Speaker 4: bear the state of Michigan and just put it in 138 00:07:41,480 --> 00:07:45,480 Speaker 4: this country full of illegal immigrants. More people than live 139 00:07:45,480 --> 00:07:50,600 Speaker 4: in New Jersey, Virginia, Washington State, Arizona, Tennessee. If you've 140 00:07:50,600 --> 00:07:54,000 Speaker 4: ever visited any of these states, Massachusetts, if you've ever 141 00:07:54,200 --> 00:07:57,040 Speaker 4: driven through any of these states. My home state of 142 00:07:57,080 --> 00:08:01,840 Speaker 4: Tennessee has around seven million people. It's a big geographic state, 143 00:08:02,000 --> 00:08:07,520 Speaker 4: seven million people. There are three million more illegals than 144 00:08:07,600 --> 00:08:11,520 Speaker 4: exist right now in the entire state of Tennessee. Virginia 145 00:08:11,560 --> 00:08:15,960 Speaker 4: ain't a small state, eight point seven million total population. 146 00:08:17,680 --> 00:08:18,520 Speaker 2: Washington Airs. 147 00:08:18,600 --> 00:08:22,160 Speaker 4: I mean, this is crazy to think about how many 148 00:08:22,240 --> 00:08:24,600 Speaker 4: people they have brought in. Do you agree with me though, 149 00:08:24,640 --> 00:08:28,160 Speaker 4: that as soon as if Trump wins and Steven Miller 150 00:08:28,200 --> 00:08:29,320 Speaker 4: is going to be in charge of this and I 151 00:08:29,360 --> 00:08:32,440 Speaker 4: have one hundred percent believe that they will begin the 152 00:08:32,480 --> 00:08:36,720 Speaker 4: process of deportation. Democrats are going to lose their mind 153 00:08:37,120 --> 00:08:39,960 Speaker 4: over illegal immigrants being taken out of this country, and 154 00:08:40,000 --> 00:08:42,360 Speaker 4: a lot of Republicans are going to go weaken the 155 00:08:42,400 --> 00:08:45,520 Speaker 4: knees and they're going to stop it. I'm just telling 156 00:08:45,559 --> 00:08:48,000 Speaker 4: it might take six months. We're not going to get 157 00:08:48,000 --> 00:08:50,320 Speaker 4: four years of deportation, which is how long it would 158 00:08:50,360 --> 00:08:53,440 Speaker 4: take to actually kick people out. Now, the positive is 159 00:08:54,480 --> 00:08:57,200 Speaker 4: if you start to send some people out, you're at 160 00:08:57,320 --> 00:09:00,719 Speaker 4: least sending the message all throughout the world that our 161 00:09:00,760 --> 00:09:04,280 Speaker 4: borders aren't wide open. But Trump's only got four years. 162 00:09:04,640 --> 00:09:07,920 Speaker 4: Even if he wins in twenty twenty eight, they'll just 163 00:09:07,960 --> 00:09:10,720 Speaker 4: go back to the same game plan. They're playing a 164 00:09:10,840 --> 00:09:16,040 Speaker 4: multi generational game here, and any one or two year 165 00:09:16,160 --> 00:09:19,640 Speaker 4: finger in the damn situation is they're going to ridicule 166 00:09:19,720 --> 00:09:22,720 Speaker 4: the attempt to try to fix it. It also goes 167 00:09:22,800 --> 00:09:26,599 Speaker 4: to the lawlessness and the destruction of the rule of 168 00:09:26,679 --> 00:09:31,400 Speaker 4: law that Democrats have embraced for political purposes. The same 169 00:09:31,520 --> 00:09:35,720 Speaker 4: law that they claim could send Donald Trump to prison 170 00:09:35,840 --> 00:09:38,400 Speaker 4: for four years. When I say the same law, I 171 00:09:38,400 --> 00:09:41,439 Speaker 4: mean the same system of law, the same system of 172 00:09:41,559 --> 00:09:44,440 Speaker 4: law that now could send Hunter Biden to prison for 173 00:09:44,480 --> 00:09:46,680 Speaker 4: I don't know how many years federal prison for the 174 00:09:46,840 --> 00:09:49,160 Speaker 4: gun case is a law that says that if you're 175 00:09:49,160 --> 00:09:51,440 Speaker 4: not in the country legally, you are supposed to be 176 00:09:51,440 --> 00:09:54,440 Speaker 4: deported and what they've done is they've taken that to 177 00:09:54,480 --> 00:09:59,199 Speaker 4: be well, we have law enforcement priorities, and so we're 178 00:09:59,240 --> 00:10:02,720 Speaker 4: going to only deploy people if they're violent felons, and 179 00:10:02,800 --> 00:10:04,600 Speaker 4: even then we're not going to deport a lot of 180 00:10:04,600 --> 00:10:08,840 Speaker 4: them because we basically want to just nullify immigration law. 181 00:10:08,840 --> 00:10:11,199 Speaker 4: That has become the official Democrat I'm sorry, sent to 182 00:10:11,240 --> 00:10:15,160 Speaker 4: the official the day facto Democrat party position on immigration 183 00:10:15,640 --> 00:10:19,880 Speaker 4: is that immigration laws don't count, they aren't really the law. 184 00:10:20,440 --> 00:10:23,600 Speaker 4: The problem with that is the same laws that Congress 185 00:10:23,640 --> 00:10:27,240 Speaker 4: gives us about you know, Trump and all these prosecutions 186 00:10:27,240 --> 00:10:30,360 Speaker 4: that they're bringing against them and classified information, and the 187 00:10:30,400 --> 00:10:34,559 Speaker 4: same congress or same congressional authority is used for laws 188 00:10:34,600 --> 00:10:37,920 Speaker 4: about the border and the enforcement thereof. So if you 189 00:10:37,960 --> 00:10:40,760 Speaker 4: ignore one, you actually undermine all the rest of it too, 190 00:10:40,840 --> 00:10:43,120 Speaker 4: Or rather, if you ignore a whole area of law, 191 00:10:43,559 --> 00:10:45,680 Speaker 4: you do damage to the entire system. And that's what 192 00:10:45,720 --> 00:10:49,040 Speaker 4: they're doing on the illegal immigration issue. They are doing 193 00:10:49,080 --> 00:10:51,960 Speaker 4: it to the expense of the sovereignty of this nation, 194 00:10:52,240 --> 00:10:55,840 Speaker 4: of really our ability to perpetuate ourselves and consider ourselves 195 00:10:56,200 --> 00:11:01,640 Speaker 4: a true nation state going forward. They're erode the foundation 196 00:11:01,760 --> 00:11:04,600 Speaker 4: of what brings us all together as Americans, and you 197 00:11:04,600 --> 00:11:06,240 Speaker 4: know they're still gonna lock you up for not paying 198 00:11:06,240 --> 00:11:07,840 Speaker 4: your taxes. But you can just come here and do 199 00:11:07,880 --> 00:11:10,880 Speaker 4: whatever you want, not pay taxes and not be not 200 00:11:10,960 --> 00:11:12,960 Speaker 4: be legal in the first place, and that's fine. Why 201 00:11:13,000 --> 00:11:15,960 Speaker 4: because if you're a dependent and as we know, there's 202 00:11:16,000 --> 00:11:18,640 Speaker 4: a disproportionate amount of illegals, for example, who are going 203 00:11:18,640 --> 00:11:22,000 Speaker 4: to need state resources, government resources, say oh, they can't 204 00:11:22,000 --> 00:11:24,319 Speaker 4: get it. Please, I know the games. Okay, they come here, 205 00:11:24,360 --> 00:11:25,760 Speaker 4: they have a child, and then all of a sudden, 206 00:11:25,760 --> 00:11:28,240 Speaker 4: the child is getting federal resources because it's a US citizen. 207 00:11:28,440 --> 00:11:30,400 Speaker 4: Now you can't deport I mean, you go down the 208 00:11:30,440 --> 00:11:34,160 Speaker 4: list of all these things and you see, Clay. I 209 00:11:34,200 --> 00:11:36,120 Speaker 4: don't know how this gets solved. I worry that the 210 00:11:36,160 --> 00:11:38,360 Speaker 4: American people are waking up to this problem too late. 211 00:11:38,400 --> 00:11:41,520 Speaker 4: To your point about Donald Trump. Even if Trump keeps 212 00:11:41,559 --> 00:11:44,440 Speaker 4: his word and he's like, guys, I'm sorry, you're illegal, 213 00:11:44,520 --> 00:11:47,400 Speaker 4: you gotta go, and we're gonna do these deportations, it's 214 00:11:47,440 --> 00:11:49,079 Speaker 4: Republicans who are gonna sell them out. 215 00:11:49,679 --> 00:11:51,600 Speaker 2: I can't I can't lie. I know you're right. 216 00:11:52,000 --> 00:11:54,160 Speaker 1: I can't lie to people, and that's not a lie, 217 00:11:54,200 --> 00:11:57,360 Speaker 1: but I can't mislead people by saying I think Republicans 218 00:11:57,640 --> 00:11:59,840 Speaker 1: as a party have the backbone for this. I am 219 00:11:59,840 --> 00:12:02,560 Speaker 1: not convinced that all that they do, and I don't 220 00:12:02,559 --> 00:12:04,040 Speaker 1: know if Donald Trump would have the votes for his 221 00:12:04,080 --> 00:12:04,920 Speaker 1: own party to do it. 222 00:12:05,400 --> 00:12:05,640 Speaker 2: Now. 223 00:12:05,679 --> 00:12:08,640 Speaker 1: He might be as the executive, as a commander in chief, 224 00:12:09,120 --> 00:12:11,760 Speaker 1: in a role where he can do a lot without Congress, 225 00:12:12,320 --> 00:12:14,720 Speaker 1: but Republicans will not back him up on this, and 226 00:12:15,040 --> 00:12:16,920 Speaker 1: a lot of them will find a way to say. 227 00:12:16,760 --> 00:12:19,199 Speaker 2: Oh, but you know, we're a nation of immigrants. 228 00:12:19,200 --> 00:12:21,320 Speaker 1: You know, there's all the stuff the poet the poem 229 00:12:21,360 --> 00:12:24,640 Speaker 1: on the foot of the Statue of Liberty. Show up 230 00:12:24,679 --> 00:12:26,319 Speaker 1: in another country and be like, I want you guys 231 00:12:26,320 --> 00:12:29,120 Speaker 1: to let me in pay for all my stuff, and 232 00:12:29,200 --> 00:12:31,040 Speaker 1: I want to complain about how you're not nice enough 233 00:12:31,080 --> 00:12:33,120 Speaker 1: to me. Try that in some other country as an 234 00:12:33,160 --> 00:12:35,160 Speaker 1: American and see how that goes for you. I was 235 00:12:35,200 --> 00:12:37,040 Speaker 1: even reading I bet a lot of people are going 236 00:12:37,080 --> 00:12:41,560 Speaker 1: on vacation to start the summer. The rates of hotels 237 00:12:41,760 --> 00:12:45,320 Speaker 1: have skyrocketed in New York City because so many of 238 00:12:45,320 --> 00:12:47,920 Speaker 1: the hotel rooms are now taken up by migrants. 239 00:12:48,559 --> 00:12:50,920 Speaker 4: I don't know that people have even realized this. A 240 00:12:50,920 --> 00:12:53,760 Speaker 4: lot of these hotels they're getting. I think that it's 241 00:12:53,760 --> 00:12:57,440 Speaker 4: one hundred and eighty five dollars a night for three 242 00:12:57,480 --> 00:13:01,480 Speaker 4: and four star hotels all over Manhattan, and as a result, 243 00:13:01,800 --> 00:13:04,360 Speaker 4: there are way fewer hotel rooms than there used to be. 244 00:13:04,400 --> 00:13:07,600 Speaker 4: Now they've also done away with Airbnb basically unless you're 245 00:13:07,600 --> 00:13:09,720 Speaker 4: staying for a month or longer in New York City. 246 00:13:10,320 --> 00:13:12,760 Speaker 4: But it's now starting to get challenging to get hotel 247 00:13:12,840 --> 00:13:15,920 Speaker 4: rooms because so many migrants are showing up and getting 248 00:13:16,400 --> 00:13:18,880 Speaker 4: four star and three star hotel rooms to live in 249 00:13:18,960 --> 00:13:20,079 Speaker 4: for free in New York City. 250 00:13:21,559 --> 00:13:22,480 Speaker 2: Take your calls on it. 251 00:13:22,520 --> 00:13:25,760 Speaker 1: What do you think are we assessing the immigration issue, 252 00:13:26,280 --> 00:13:30,160 Speaker 1: illegal immigration correctly and Biden's moves at the last minute 253 00:13:30,160 --> 00:13:32,560 Speaker 1: to make it seem like he's not an open border's disaster, 254 00:13:32,720 --> 00:13:34,920 Speaker 1: will it have any effect? We'll talk to you about it. 255 00:13:35,320 --> 00:13:36,840 Speaker 1: I want to talk to you now about the Preborn 256 00:13:36,880 --> 00:13:39,240 Speaker 1: Network of clinics. They are leading the charge in this 257 00:13:39,400 --> 00:13:43,280 Speaker 1: nation to give pregnant mothers contemplating an abortion and alternative. 258 00:13:43,840 --> 00:13:46,840 Speaker 1: They offer those mothers a chance to meet their unborn 259 00:13:46,880 --> 00:13:49,839 Speaker 1: child via ultrasound. You know, I've visited a preborn clinic 260 00:13:49,920 --> 00:13:52,280 Speaker 1: firsthand just last week and got to meet the whole 261 00:13:52,320 --> 00:13:55,840 Speaker 1: team and see what they do and talk to moms 262 00:13:55,880 --> 00:13:58,520 Speaker 1: who have had their babies and who have gotten support 263 00:13:58,559 --> 00:14:02,000 Speaker 1: from Preborn and how it has changed their lives. They 264 00:14:02,040 --> 00:14:05,000 Speaker 1: were tearing up telling me about how blessed they are 265 00:14:05,080 --> 00:14:07,920 Speaker 1: to have the little boy or little girl that they 266 00:14:07,960 --> 00:14:11,520 Speaker 1: now are are raising because of the help and support 267 00:14:11,600 --> 00:14:15,319 Speaker 1: they got from Preborn. Every day, Preborn's network of clinics 268 00:14:15,360 --> 00:14:19,720 Speaker 1: rescues two hundred babies this way. They do this first 269 00:14:19,760 --> 00:14:23,480 Speaker 1: and foremost by sponsoring free ultrasounds for women with unplanned 270 00:14:23,520 --> 00:14:27,560 Speaker 1: pregnancies who are facing that very difficult decision that can 271 00:14:27,640 --> 00:14:30,240 Speaker 1: never be taken back. So if you want to help 272 00:14:30,440 --> 00:14:34,080 Speaker 1: moms make the right choice, heal our land, and save 273 00:14:34,280 --> 00:14:39,280 Speaker 1: precious souls, please give whatever you can to Preborn. If 274 00:14:39,320 --> 00:14:42,560 Speaker 1: you can sponsor one ultrasound, it's twenty eight bucks twenty 275 00:14:42,600 --> 00:14:45,440 Speaker 1: eight dollars, Okay, that could be the difference between life 276 00:14:45,520 --> 00:14:48,600 Speaker 1: or death or one of these babies in the womb 277 00:14:48,960 --> 00:14:50,840 Speaker 1: who will become a little boy or little girl and 278 00:14:50,880 --> 00:14:52,840 Speaker 1: break so much joy to their family in the future. 279 00:14:53,240 --> 00:14:55,800 Speaker 1: You can join the cause of Preborn by sponsoring one, 280 00:14:55,920 --> 00:14:59,960 Speaker 1: two three, whatever you can ultrasounds twenty eight dollars a piece. 281 00:15:00,520 --> 00:15:02,720 Speaker 1: All gifts are tax deductible. And I've said this before, 282 00:15:02,720 --> 00:15:06,080 Speaker 1: and I'm so gratified and honored that some of you 283 00:15:06,160 --> 00:15:08,160 Speaker 1: have been able to step up because we have people 284 00:15:08,200 --> 00:15:11,600 Speaker 1: from all different areas of the country, and some of 285 00:15:11,640 --> 00:15:15,280 Speaker 1: you are very fortunate who've done very well professionally, and 286 00:15:15,320 --> 00:15:18,520 Speaker 1: you're able to say, sponsor the whole network of Preborn 287 00:15:18,560 --> 00:15:21,360 Speaker 1: for twenty four hours. Some of you have given leadership 288 00:15:21,400 --> 00:15:24,680 Speaker 1: gifts five thousand dollars, even ten thousand dollars. Now it 289 00:15:24,720 --> 00:15:28,440 Speaker 1: is tax deductible, and that's nice, But beyond that, think 290 00:15:28,440 --> 00:15:30,520 Speaker 1: of how many lives can be saved. Is there a 291 00:15:30,560 --> 00:15:33,360 Speaker 1: better way if you have the money to spare than 292 00:15:33,440 --> 00:15:37,120 Speaker 1: to sponsor Preborn with a leadership gift for twenty four hours? 293 00:15:37,960 --> 00:15:39,960 Speaker 1: All you have to do right now from your phone 294 00:15:40,120 --> 00:15:44,120 Speaker 1: dial pound two five zero, say the keyword baby. That's 295 00:15:44,200 --> 00:15:48,960 Speaker 1: pound two five zero, say baby, or visit preborn dot com, 296 00:15:48,960 --> 00:15:53,000 Speaker 1: slash buck that's Preborn dot com, slash b u c 297 00:15:53,280 --> 00:15:54,680 Speaker 1: K sponsored by. 298 00:15:54,640 --> 00:15:59,360 Speaker 6: Preborn Stay on top of election use with twenty four 299 00:15:59,600 --> 00:16:02,920 Speaker 6: from and Fuck, a weekly podcast you can find on 300 00:16:03,000 --> 00:16:06,720 Speaker 6: the free iHeartRadio app or wherever you get your podcasts. 301 00:16:07,840 --> 00:16:11,440 Speaker 4: Welcome back in Clay Travis Buck Sexton show Buck, I 302 00:16:11,520 --> 00:16:13,600 Speaker 4: want to set the table for you because I think 303 00:16:13,680 --> 00:16:14,320 Speaker 4: this is I can't. 304 00:16:14,360 --> 00:16:15,440 Speaker 2: I'm gonna be honest with you. 305 00:16:16,200 --> 00:16:19,560 Speaker 4: I am stunned how big of a story this has become. 306 00:16:20,160 --> 00:16:25,800 Speaker 4: But all weekend long foxnews dot Com OutKick, millions of 307 00:16:25,920 --> 00:16:31,600 Speaker 4: people are clicking on the Caitlin Clark story WNBA basketball player. 308 00:16:32,240 --> 00:16:37,800 Speaker 4: She is getting mistreated horribly in the WNBA. I think 309 00:16:37,840 --> 00:16:40,160 Speaker 4: to a large extent it's because she's a white girl 310 00:16:40,320 --> 00:16:42,840 Speaker 4: who happens to be heterosexual. I'm gonna play a cut 311 00:16:42,880 --> 00:16:44,920 Speaker 4: for you and then we'll react to it a bit 312 00:16:44,920 --> 00:16:45,520 Speaker 4: when we come back. 313 00:16:45,520 --> 00:16:47,840 Speaker 2: This is stephen A. Smith today on ESPN. 314 00:16:48,080 --> 00:16:53,080 Speaker 7: There are girls, young ladies in the WNBA who are 315 00:16:53,200 --> 00:16:57,240 Speaker 7: jealous of Caitlyn Clark. She is a white girl that 316 00:16:57,360 --> 00:17:02,120 Speaker 7: has come into the league. She has bursted onto the scene. 317 00:17:02,160 --> 00:17:04,200 Speaker 7: She hasn't proven herself yet. 318 00:17:04,960 --> 00:17:08,040 Speaker 8: It's not even about them thinking they're better than her, 319 00:17:08,280 --> 00:17:12,560 Speaker 8: because they probably know it at this particular juncture because 320 00:17:12,640 --> 00:17:14,360 Speaker 8: they've been playing on a. 321 00:17:14,359 --> 00:17:16,280 Speaker 2: Level she just arrived to. 322 00:17:17,280 --> 00:17:21,200 Speaker 8: Where the resentment comes in is the hard work, the commitment, 323 00:17:21,240 --> 00:17:24,359 Speaker 8: the dedication, you know, the pounding of the payment that 324 00:17:24,520 --> 00:17:27,560 Speaker 8: being on the grind all of these years trying to 325 00:17:27,680 --> 00:17:32,080 Speaker 8: uplift this brand that is the WNBA and is women's 326 00:17:32,119 --> 00:17:36,680 Speaker 8: professional basketball, and all of their efforts were in vain 327 00:17:36,880 --> 00:17:42,920 Speaker 8: until this girl comes along and takes the league by storm. 328 00:17:43,000 --> 00:17:45,639 Speaker 1: All Right, we're gonna we gotta dive into that analysis 329 00:17:45,640 --> 00:17:47,760 Speaker 1: on that. We come back here in a second. You know, 330 00:17:47,840 --> 00:17:50,440 Speaker 1: my friend Porter Stansbury, for the last twenty five years, 331 00:17:50,480 --> 00:17:54,040 Speaker 1: has predicted some of the biggest economic and financial moves 332 00:17:54,080 --> 00:17:56,760 Speaker 1: in this country and around the world. He exposed the 333 00:17:56,760 --> 00:17:59,560 Speaker 1: corruption at the heart of a major American aunovial company, 334 00:17:59,720 --> 00:18:02,680 Speaker 1: warned of the collapse of major lenders in two thousand 335 00:18:02,680 --> 00:18:05,000 Speaker 1: and eight. I tell you all this because he's making 336 00:18:05,040 --> 00:18:08,439 Speaker 1: another bold prediction now in a documentary that's just been 337 00:18:08,480 --> 00:18:11,440 Speaker 1: released a few weeks ago. His name is Porter Stansbury. 338 00:18:11,480 --> 00:18:15,000 Speaker 1: As I said, he is a phenomenal economist and market forecaster, 339 00:18:15,119 --> 00:18:20,080 Speaker 1: and his documentary is America's Last Election. You can watch 340 00:18:20,119 --> 00:18:23,000 Speaker 1: this for free. Go check it out for yourself. It's 341 00:18:23,119 --> 00:18:25,959 Speaker 1: about a new financial crisis that is brewing. It can 342 00:18:26,000 --> 00:18:29,439 Speaker 1: affect all of your wealth and your future. Watch it 343 00:18:29,440 --> 00:18:33,280 Speaker 1: for free at this website Last election plot dot com. 344 00:18:33,440 --> 00:18:37,160 Speaker 1: That's last Election plot dot com paid for by Porter 345 00:18:37,240 --> 00:18:39,879 Speaker 1: and Company. Welcome back in team. Okay, so we just 346 00:18:39,920 --> 00:18:45,120 Speaker 1: played this Stephen A. Smith, who's a very famous sports analyst. 347 00:18:45,240 --> 00:18:46,879 Speaker 1: I think everyone knows that, but I say it just 348 00:18:46,920 --> 00:18:49,720 Speaker 1: so I can, you know, set the table everyone. I 349 00:18:49,720 --> 00:18:51,639 Speaker 1: know what I'm talking about too, Steven A. Smith, very 350 00:18:51,640 --> 00:18:55,439 Speaker 1: famous sports panalyst fellow. I was talking about the Caitlin 351 00:18:55,440 --> 00:18:59,720 Speaker 1: Clark issue. I saw Clay's posts on X over the 352 00:18:59,760 --> 00:19:05,359 Speaker 1: week and with video of a very clearly nasty just 353 00:19:06,160 --> 00:19:08,920 Speaker 1: not a foul really just a almost. 354 00:19:08,600 --> 00:19:11,119 Speaker 2: Like cheap shot, just a cheap shot. 355 00:19:10,760 --> 00:19:13,720 Speaker 1: You know, I mean, not not quite like Tanya Harding 356 00:19:13,800 --> 00:19:16,240 Speaker 1: level cheap shot, but you know, a cheap shot like 357 00:19:16,320 --> 00:19:19,360 Speaker 1: just meant to hurt somebody or you know, injure them 358 00:19:19,760 --> 00:19:22,600 Speaker 1: from another WNBA player. It has now been called a 359 00:19:22,640 --> 00:19:27,160 Speaker 1: flagrant foul. But people are saying, Okay, what's really going 360 00:19:27,200 --> 00:19:30,159 Speaker 1: on here? And I'm just gonna hand it over to 361 00:19:30,160 --> 00:19:31,640 Speaker 1: my man, Clay, who can tell me what is going 362 00:19:31,680 --> 00:19:34,440 Speaker 1: on in the WNBA from your extensive WNBA why. 363 00:19:35,440 --> 00:19:38,040 Speaker 4: I was just talking with our producer Ali off Air 364 00:19:38,160 --> 00:19:42,080 Speaker 4: about this, and I think Ali's sitting there in New York, Ali, 365 00:19:42,200 --> 00:19:46,360 Speaker 4: have you ever cared about any women's basketball story? 366 00:19:46,480 --> 00:19:50,359 Speaker 2: In your entire life. No, never really paid attention. Okay, 367 00:19:50,600 --> 00:19:52,919 Speaker 2: do you care about the Caitlin Clark story. 368 00:19:53,280 --> 00:19:54,239 Speaker 6: I'm intrigued by it. 369 00:19:54,320 --> 00:19:55,280 Speaker 2: I'll be honest. 370 00:19:56,240 --> 00:20:00,440 Speaker 4: This is so that is a perfect approximation. It's rare 371 00:20:00,560 --> 00:20:02,440 Speaker 4: that I see because I get to see the data. 372 00:20:02,760 --> 00:20:06,280 Speaker 4: What are people clicking on? What do people care about? 373 00:20:06,440 --> 00:20:10,040 Speaker 4: Most of the time, I am not surprised by what 374 00:20:10,119 --> 00:20:12,040 Speaker 4: people click on and what people care about. 375 00:20:12,040 --> 00:20:13,640 Speaker 2: That's the business that I'm in. 376 00:20:14,520 --> 00:20:19,199 Speaker 4: Over the weekend, millions of people were clicking on this 377 00:20:19,320 --> 00:20:23,080 Speaker 4: Caitlin Clark story about the cheap shot that you just referenced. 378 00:20:23,600 --> 00:20:26,080 Speaker 2: It has cut across lines. 379 00:20:26,200 --> 00:20:30,080 Speaker 4: I mean, we got multiple people booked on Fox News 380 00:20:30,119 --> 00:20:33,679 Speaker 4: to talk about this from OutKick in a way that 381 00:20:34,200 --> 00:20:37,919 Speaker 4: rarely do sports stories connect. And so I'm curious for 382 00:20:38,040 --> 00:20:41,960 Speaker 4: our audience out there. Are you following this and paying 383 00:20:42,000 --> 00:20:45,680 Speaker 4: attention to it. My suspicion is the answer is yes, 384 00:20:45,720 --> 00:20:48,000 Speaker 4: because again, I see all of the Fox News data, 385 00:20:48,720 --> 00:20:52,040 Speaker 4: I see the OutKick data, and that overlaps with our 386 00:20:52,080 --> 00:20:55,920 Speaker 4: audience to a large extent. I think, what's going on here, buck, 387 00:20:56,680 --> 00:21:00,680 Speaker 4: Kaitlin Clark is white. I think that's a big part 388 00:21:00,840 --> 00:21:04,119 Speaker 4: of the story here in terms of her treatment. But 389 00:21:04,240 --> 00:21:09,119 Speaker 4: I also think it's that she's straight. There are not 390 00:21:09,400 --> 00:21:14,760 Speaker 4: a lot of straight women's basketball players, and so in 391 00:21:14,800 --> 00:21:20,160 Speaker 4: the WNBA, Caitlin Clark, as a straight white woman, is 392 00:21:20,320 --> 00:21:26,040 Speaker 4: just getting wrecked on the court and ridiculed and attacked 393 00:21:26,680 --> 00:21:30,000 Speaker 4: in a way that I can never remember any male 394 00:21:30,200 --> 00:21:35,440 Speaker 4: athlete being treated of any race. And of course, if 395 00:21:35,440 --> 00:21:40,520 Speaker 4: this were a minority in a majority white league and 396 00:21:40,600 --> 00:21:43,920 Speaker 4: this happened, it would be a huge story. Oh my goodness, 397 00:21:43,960 --> 00:21:47,560 Speaker 4: look at the latent racism that's going on here. I'm 398 00:21:47,640 --> 00:21:50,439 Speaker 4: fascinated by it. I'm curious what your analysis would be, 399 00:21:50,440 --> 00:21:53,280 Speaker 4: because I know you've been kind of following this somewhat too. 400 00:21:53,640 --> 00:21:54,080 Speaker 2: Stephen A. 401 00:21:54,160 --> 00:21:57,919 Speaker 4: Smith is now pointing out the race and not as 402 00:21:58,000 --> 00:22:00,320 Speaker 4: much the sexuality. But I do think that fat actors 403 00:22:00,359 --> 00:22:04,480 Speaker 4: in here, these WNBA women, even though Caitlin Clark is 404 00:22:04,520 --> 00:22:08,000 Speaker 4: bringing tens of millions of dollars to their league because 405 00:22:08,000 --> 00:22:10,840 Speaker 4: they've been playing for thirty years and nobody cares, she 406 00:22:11,040 --> 00:22:13,960 Speaker 4: somehow has cut through the noise and people care about her, 407 00:22:14,359 --> 00:22:17,640 Speaker 4: much like I would say Tiger Woods when he came 408 00:22:17,720 --> 00:22:21,199 Speaker 4: to golf, brought a whole new audience to golf, and 409 00:22:21,280 --> 00:22:24,280 Speaker 4: everybody benefited Suddenly, if you won the Masters, you made 410 00:22:24,280 --> 00:22:26,520 Speaker 4: a lot more money than you did before. But it 411 00:22:26,600 --> 00:22:30,240 Speaker 4: was seen as a super positive. By and large, Tiger 412 00:22:30,359 --> 00:22:32,840 Speaker 4: was welcomed into golf. Everybody was like, Okay, this is great. 413 00:22:32,840 --> 00:22:35,080 Speaker 4: We're gonna all make more money. People care about us more. 414 00:22:35,840 --> 00:22:38,720 Speaker 4: These girls are just trying to wreck Caitlin Clark. I 415 00:22:38,760 --> 00:22:41,320 Speaker 4: think if they could injure her and knock her out 416 00:22:41,320 --> 00:22:44,560 Speaker 4: for the season, they would be happy to do so well. 417 00:22:44,760 --> 00:22:48,520 Speaker 1: I think it's also worth asking, what do you call it? 418 00:22:49,240 --> 00:22:52,480 Speaker 1: If someone chooses, or I should chooses? Isn't really the 419 00:22:52,520 --> 00:22:52,920 Speaker 1: right word? 420 00:22:52,920 --> 00:22:53,359 Speaker 2: What do you call it? 421 00:22:53,400 --> 00:22:58,000 Speaker 1: If somebody despises a person because that person is white 422 00:22:58,000 --> 00:23:01,520 Speaker 1: and straight? Is that not me? I mean, is that 423 00:23:01,600 --> 00:23:04,280 Speaker 1: not it is? If that's not the word, what is 424 00:23:04,320 --> 00:23:06,399 Speaker 1: the word, right? I mean, what are we going to 425 00:23:06,400 --> 00:23:09,600 Speaker 1: call it? I guess you could say it's, uh, it's racism. 426 00:23:09,640 --> 00:23:12,080 Speaker 1: I don't like the term reverse racism because that plays 427 00:23:12,080 --> 00:23:14,280 Speaker 1: into some left wing narrative. It's just racism, right, If 428 00:23:14,280 --> 00:23:17,639 Speaker 1: you don't like somebody because of their skin color, that's racism. 429 00:23:18,800 --> 00:23:22,280 Speaker 1: It seems to me like it's the ultimate loser mentality 430 00:23:22,720 --> 00:23:25,600 Speaker 1: for a person who as their profession is doing something 431 00:23:26,200 --> 00:23:30,200 Speaker 1: that will benefit from the presence of greater attention, more 432 00:23:30,240 --> 00:23:34,879 Speaker 1: money coming into the league, and still chooses to effectively 433 00:23:34,920 --> 00:23:40,000 Speaker 1: spit on that person or that change in public attention. 434 00:23:41,000 --> 00:23:42,720 Speaker 1: You should want this. I mean, you know, I had 435 00:23:42,760 --> 00:23:44,920 Speaker 1: a friend who played. Years ago. I worked with a 436 00:23:44,920 --> 00:23:48,320 Speaker 1: guy he played professional lacrosse, and I asked him, in 437 00:23:48,359 --> 00:23:49,840 Speaker 1: all honesty, I was like, I didn't even know there 438 00:23:49,920 --> 00:23:51,600 Speaker 1: was such a thing as professional lacrosse. 439 00:23:51,640 --> 00:23:53,240 Speaker 2: He goes yeah, He goes, yeah, Well. 440 00:23:53,119 --> 00:23:55,439 Speaker 1: I played in the season and I made like twenty 441 00:23:55,480 --> 00:23:58,560 Speaker 1: grand and had a full time job. It wasn't you know, 442 00:23:58,760 --> 00:24:01,600 Speaker 1: to say you're a pro lacrosse is not to say 443 00:24:01,640 --> 00:24:03,320 Speaker 1: like you're a pro MB You know, you're an NBA 444 00:24:03,400 --> 00:24:06,520 Speaker 1: player or something making ten million, thirty million, whatever a year. 445 00:24:06,600 --> 00:24:08,280 Speaker 2: That's quite the opposite. 446 00:24:08,400 --> 00:24:11,240 Speaker 1: If somebody came along and was getting paid tens of 447 00:24:11,240 --> 00:24:13,840 Speaker 1: millions of dollars in endorsement money to be a professional 448 00:24:13,880 --> 00:24:17,280 Speaker 1: lacrosse player, you'd have to be an imbecile to think 449 00:24:17,280 --> 00:24:21,120 Speaker 1: that it's a good idea to destroy that person because 450 00:24:21,280 --> 00:24:23,800 Speaker 1: a rising tide will lift all boats and it's better 451 00:24:23,960 --> 00:24:25,640 Speaker 1: for the entire enterprise. 452 00:24:25,840 --> 00:24:26,040 Speaker 2: Right. 453 00:24:26,240 --> 00:24:29,280 Speaker 1: Yeah, That's where I think this just shows it's just 454 00:24:29,400 --> 00:24:31,879 Speaker 1: years of a loser mentality of we don't make any money, 455 00:24:32,000 --> 00:24:36,000 Speaker 1: nobody cares. There's a bitterness that seems to be behind 456 00:24:36,440 --> 00:24:39,560 Speaker 1: any decision to try to hurt a rising star who, 457 00:24:39,600 --> 00:24:41,000 Speaker 1: as usually have pointed out, it's going to make a 458 00:24:41,040 --> 00:24:42,480 Speaker 1: lot of money for a lot of people. 459 00:24:42,359 --> 00:24:45,560 Speaker 2: In this industry, in this in this league, the WNBA. 460 00:24:46,160 --> 00:24:49,320 Speaker 4: Yeah, and I would be curious to hear from other people. 461 00:24:49,480 --> 00:24:51,800 Speaker 4: But the way that they are paying attention eight hundred 462 00:24:51,800 --> 00:24:53,160 Speaker 4: and two A two two eight A two is we're 463 00:24:53,160 --> 00:24:57,680 Speaker 4: closing out the show today. The cultural impact of Caitlin Clark, 464 00:24:57,720 --> 00:24:59,879 Speaker 4: this is one that I was wrong on. I did 465 00:25:00,160 --> 00:25:03,000 Speaker 4: not think that eighteen million or whatever the number is 466 00:25:03,359 --> 00:25:08,840 Speaker 4: people were going to watch the Iowa women play against 467 00:25:08,960 --> 00:25:10,639 Speaker 4: LSU for the national championship. 468 00:25:10,640 --> 00:25:13,680 Speaker 2: That's that number. Stunned me. Do you remember Jeremy Lynn 469 00:25:13,800 --> 00:25:17,960 Speaker 2: in the NBA? Yeah, I know, yeah, Lin Sanity, Yes, And. 470 00:25:17,480 --> 00:25:19,600 Speaker 1: And you know, there was this moment where people were like, wow, 471 00:25:19,640 --> 00:25:22,080 Speaker 1: this guy is all of a sudden, you know, and look, 472 00:25:22,080 --> 00:25:23,439 Speaker 1: he didn't have a big career and he wasn't a 473 00:25:23,440 --> 00:25:25,760 Speaker 1: great NBA player, but he's in the NBA and he 474 00:25:25,880 --> 00:25:29,160 Speaker 1: just completely caught fire for a while and was scoring 475 00:25:29,240 --> 00:25:31,600 Speaker 1: crazy amounts of points and had some had some really 476 00:25:31,640 --> 00:25:35,080 Speaker 1: big games. And I think that there was an understanding 477 00:25:35,280 --> 00:25:38,600 Speaker 1: because the NBA is a big business. It's like, oh, 478 00:25:38,640 --> 00:25:42,320 Speaker 1: a lot of people and particularly overseas, a lot of 479 00:25:42,359 --> 00:25:46,200 Speaker 1: people were really really excited about this about lind sanity, 480 00:25:46,400 --> 00:25:50,400 Speaker 1: and so it can only help exposure in the Asian 481 00:25:50,480 --> 00:25:53,840 Speaker 1: TV market, which is absolutely it's the biggest, you know 482 00:25:53,920 --> 00:25:54,600 Speaker 1: market in the world. 483 00:25:54,600 --> 00:25:57,159 Speaker 4: Why was so big and why show hey is so 484 00:25:57,280 --> 00:26:00,080 Speaker 4: big in Major League Baseball. The bigger the markets of 485 00:26:00,160 --> 00:26:03,399 Speaker 4: people that care about your sport, the more money everybody makes, right, right? 486 00:26:03,760 --> 00:26:03,800 Speaker 3: What? 487 00:26:03,960 --> 00:26:05,959 Speaker 1: But this is what I mean in the NBA, because 488 00:26:05,960 --> 00:26:08,879 Speaker 1: it's a successful business. I think there's just an understanding 489 00:26:08,880 --> 00:26:11,159 Speaker 1: of like, oh, Lin Senne is great. If we have 490 00:26:11,240 --> 00:26:14,560 Speaker 1: you know, millions more people in China or Japan or 491 00:26:14,600 --> 00:26:17,720 Speaker 1: you know any of the above watching, that just ups 492 00:26:17,760 --> 00:26:20,480 Speaker 1: our contrary. You know, everyone makes more money on their contracts. 493 00:26:20,480 --> 00:26:22,639 Speaker 1: Everybody has more viewers. I mean, people want to have 494 00:26:22,680 --> 00:26:25,399 Speaker 1: as many viewers as possible for their games, right, professional pride, 495 00:26:25,840 --> 00:26:26,719 Speaker 1: everybody wins. 496 00:26:27,000 --> 00:26:28,520 Speaker 2: I don't remember, Yeah, I mean you could. 497 00:26:28,359 --> 00:26:30,399 Speaker 1: Have pointed out the guy, but you know, okay, so 498 00:26:30,480 --> 00:26:33,680 Speaker 1: he wasn't Michael Jordan, but nobody said he was right. 499 00:26:33,720 --> 00:26:36,360 Speaker 1: The point was he was bringing new interest and new 500 00:26:36,400 --> 00:26:40,680 Speaker 1: eyeballs to an entertainment endeavor, which is what sports is, 501 00:26:40,760 --> 00:26:43,639 Speaker 1: as you will know, but an entertainment endeavor. So in 502 00:26:43,680 --> 00:26:46,800 Speaker 1: this case, the fact that there is resentment, like I said, 503 00:26:46,840 --> 00:26:49,040 Speaker 1: it just comes from such a loser mentality. 504 00:26:49,720 --> 00:26:52,480 Speaker 4: I also think this is an important time, and I've 505 00:26:52,480 --> 00:26:55,800 Speaker 4: been making this argument for it feels like fifteen years. 506 00:26:56,200 --> 00:26:59,800 Speaker 4: You mentioned the reverse racism idea. I would love for 507 00:27:00,160 --> 00:27:05,680 Speaker 4: politician to just come out and say white people, Asian people, 508 00:27:06,119 --> 00:27:08,440 Speaker 4: black people, Hispanic people. 509 00:27:08,720 --> 00:27:10,560 Speaker 2: Every race has racist. 510 00:27:11,320 --> 00:27:15,080 Speaker 4: The only way we define racism in America is white 511 00:27:15,160 --> 00:27:15,760 Speaker 4: too black. 512 00:27:16,400 --> 00:27:17,680 Speaker 2: And when you create a. 513 00:27:17,720 --> 00:27:21,680 Speaker 1: World everybody else actually yeah, well but primarily white to black. 514 00:27:21,760 --> 00:27:24,320 Speaker 1: But yes, white people are the only racist in the 515 00:27:24,320 --> 00:27:27,960 Speaker 1: way we talk about racism in America. That has not 516 00:27:28,200 --> 00:27:31,919 Speaker 1: been my experience. And I think if you're around our age, 517 00:27:32,680 --> 00:27:37,000 Speaker 1: you have lived long enough to have met people who 518 00:27:37,200 --> 00:27:43,560 Speaker 1: are racist across every racial group, right, And and the 519 00:27:43,680 --> 00:27:46,720 Speaker 1: fact that we can't have a conversation about that, to me, 520 00:27:46,840 --> 00:27:49,480 Speaker 1: this is evidence of what's going on with Clark. 521 00:27:49,560 --> 00:27:53,280 Speaker 4: She's actually the minority here. She's the white girl in 522 00:27:53,320 --> 00:27:57,359 Speaker 4: a predominantly black league. She is the straight girl in 523 00:27:57,440 --> 00:28:02,560 Speaker 4: a predominantly lesbian league. He is the minority. The white 524 00:28:03,240 --> 00:28:08,359 Speaker 4: heterosexual girl is the minority, and the majority is ganging 525 00:28:08,440 --> 00:28:12,920 Speaker 4: up against her. And I think that story it blows 526 00:28:13,000 --> 00:28:16,639 Speaker 4: people's minds because they've we've been so conditioned for so 527 00:28:16,840 --> 00:28:20,119 Speaker 4: long to follow what I would say, Buck is the 528 00:28:20,160 --> 00:28:23,720 Speaker 4: TA Kill a Mockingbird storyline, great novel, go read it, 529 00:28:23,800 --> 00:28:29,080 Speaker 4: Harper Lee. But the idea is white woman is the liar, 530 00:28:29,520 --> 00:28:33,560 Speaker 4: black man is the victim. We've been so conditioned to 531 00:28:33,760 --> 00:28:39,000 Speaker 4: see that white racism against black which is a redress 532 00:28:39,520 --> 00:28:44,960 Speaker 4: for generations of racism. But if you are around our age, 533 00:28:45,640 --> 00:28:48,120 Speaker 4: if you grew up in the eighties, the nineties, the 534 00:28:48,240 --> 00:28:52,720 Speaker 4: early two thousands, I legitimately believe, if you're around forty 535 00:28:52,800 --> 00:28:56,120 Speaker 4: years old, you didn't grow up in a segregated South. 536 00:28:56,800 --> 00:29:00,560 Speaker 4: You didn't grow up in a Jim Crow America. Most 537 00:29:00,640 --> 00:29:04,920 Speaker 4: people born from nineteen eighty ish on have grown up 538 00:29:04,960 --> 00:29:11,479 Speaker 4: in a fairly egalitarian, equality drenched society. And what happened 539 00:29:11,480 --> 00:29:15,520 Speaker 4: post Obama was people said, oh, well, everything is not 540 00:29:15,600 --> 00:29:19,640 Speaker 4: a perfect reflection of the racial population in America. So 541 00:29:19,720 --> 00:29:24,240 Speaker 4: that must be because of racism. I just fundamentally reject that, 542 00:29:24,960 --> 00:29:28,560 Speaker 4: and so we moved from equality to equity. And I 543 00:29:28,600 --> 00:29:31,920 Speaker 4: think this Caitlin Clark connection is actually part of a 544 00:29:32,000 --> 00:29:35,719 Speaker 4: larger conversation that we should be having where she's getting 545 00:29:36,240 --> 00:29:40,640 Speaker 4: legitimately bullied and beaten up because of her race and 546 00:29:40,680 --> 00:29:41,200 Speaker 4: her gender. 547 00:29:41,600 --> 00:29:44,840 Speaker 1: I mean, you can take race out of this and 548 00:29:45,920 --> 00:29:49,280 Speaker 1: sexual orientation out of this entirely. Because I watch I 549 00:29:49,280 --> 00:29:51,840 Speaker 1: have always played and watched tennis since I was very young, 550 00:29:51,880 --> 00:29:54,680 Speaker 1: and so I'm very familiar with tennis. There was a 551 00:29:54,720 --> 00:29:58,840 Speaker 1: time when Annakornicova was the highest paid female tennis player 552 00:29:58,840 --> 00:30:01,520 Speaker 1: in the world and I believe the highest paid female 553 00:30:01,520 --> 00:30:04,240 Speaker 1: athlete in the world. And I think around that time 554 00:30:04,280 --> 00:30:06,920 Speaker 1: she was ranked number like seventy for women's tennis. 555 00:30:07,040 --> 00:30:09,000 Speaker 4: I think she got up to like the top fifteen 556 00:30:09,120 --> 00:30:10,480 Speaker 4: in her career, best possible. 557 00:30:10,480 --> 00:30:12,880 Speaker 1: That was the highest ever class she was usually like 558 00:30:13,120 --> 00:30:14,680 Speaker 1: barely in the top Sea's. 559 00:30:14,360 --> 00:30:17,760 Speaker 4: Gorgeous for people who don't remember Anna Kornakova, which looks 560 00:30:17,840 --> 00:30:20,040 Speaker 4: like she looks like a swimsuit model, like you know 561 00:30:20,080 --> 00:30:22,600 Speaker 4: that was she's a model, yes, you. 562 00:30:22,560 --> 00:30:25,280 Speaker 1: Know, yeah, and and you know she was making tens 563 00:30:25,320 --> 00:30:28,400 Speaker 1: of millions of dollars a year in endorsements. Now, I 564 00:30:28,480 --> 00:30:30,760 Speaker 1: understand that people could say, well, that's not fair. The 565 00:30:30,840 --> 00:30:32,520 Speaker 1: number one female tennis player in the world should be 566 00:30:32,520 --> 00:30:34,680 Speaker 1: making the most money. However, if you were to look 567 00:30:34,760 --> 00:30:40,280 Speaker 1: as a business at the increased attention, viewership, and sponsor 568 00:30:40,400 --> 00:30:44,720 Speaker 1: dollars into women's tennis, women's tennis now is really one. 569 00:30:44,640 --> 00:30:45,240 Speaker 2: Of the I think. 570 00:30:45,240 --> 00:30:47,120 Speaker 1: I don't know if there is another sport quite like this, 571 00:30:47,200 --> 00:30:50,360 Speaker 1: you'd have to tell me. But in the biggest you know, 572 00:30:50,400 --> 00:30:53,400 Speaker 1: the US Open, for example, parody in the purse between 573 00:30:53,440 --> 00:30:56,760 Speaker 1: men's and women's. Yeah, you know, you could say, I. 574 00:30:56,760 --> 00:30:57,320 Speaker 2: Think that's it. 575 00:30:57,400 --> 00:30:59,520 Speaker 4: I mean now they have more so in soccer now 576 00:30:59,600 --> 00:31:01,360 Speaker 4: because of the way they thought about it. 577 00:31:01,360 --> 00:31:04,160 Speaker 1: But that's just socialism though, Like people really do watch 578 00:31:04,200 --> 00:31:06,719 Speaker 1: women's tennis in huge number, Like the women's final at 579 00:31:06,720 --> 00:31:09,560 Speaker 1: the US Open is not something It's not like doubles, 580 00:31:09,560 --> 00:31:11,640 Speaker 1: which I feel sad, but like no one really watches doubles. 581 00:31:11,800 --> 00:31:16,200 Speaker 1: Serena was way more popular than any men's American tennis player. 582 00:31:16,280 --> 00:31:17,800 Speaker 2: Yes, I mean, I don't even know. 583 00:31:17,960 --> 00:31:21,200 Speaker 1: Hundreds of millions of dollars, So I'm just saying there 584 00:31:21,240 --> 00:31:24,640 Speaker 1: are times when your sport, when your enterprise gets attention 585 00:31:24,800 --> 00:31:28,680 Speaker 1: and dollars that will benefit everybody. But a short sighted 586 00:31:28,760 --> 00:31:31,880 Speaker 1: view and a view based and resentment can make that 587 00:31:31,960 --> 00:31:34,280 Speaker 1: more difficult. And I think that's what you're seeing in 588 00:31:34,280 --> 00:31:35,040 Speaker 1: the WNBA. 589 00:31:35,640 --> 00:31:37,600 Speaker 4: I think that's right. We'll take some of your calls. 590 00:31:37,640 --> 00:31:39,400 Speaker 4: By the way, close up shop here on the Monday 591 00:31:39,560 --> 00:31:41,680 Speaker 4: edition of the program. 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Use 608 00:32:40,520 --> 00:32:43,520 Speaker 4: my name Clay as your promo code in the shopping 609 00:32:43,600 --> 00:32:47,160 Speaker 4: cart to get an extra fifteen dollars off your first 610 00:32:47,360 --> 00:32:50,640 Speaker 4: order gov X savings for those who serve. 611 00:32:51,840 --> 00:32:56,800 Speaker 9: Twenty four, a weekly podcast from Clanbuch covering all things 612 00:32:56,840 --> 00:33:00,720 Speaker 9: election episodes, drops Sundays at noon East and find it 613 00:33:00,760 --> 00:33:02,680 Speaker 9: on the free iHeartRadio app. 614 00:33:02,600 --> 00:33:04,600 Speaker 2: Or wherever you get your podcasts. 615 00:33:05,240 --> 00:33:09,680 Speaker 4: Welcome back in, Clay Travis buck Sexton show. Several of 616 00:33:09,720 --> 00:33:11,360 Speaker 4: you went away in. We'll dive into some of those 617 00:33:11,360 --> 00:33:16,400 Speaker 4: in a minute. I will mention Caitlin Clark's boyfriend liked 618 00:33:16,560 --> 00:33:21,640 Speaker 4: tweets saying that the girls basketball team needed an enforcer 619 00:33:22,280 --> 00:33:26,440 Speaker 4: to just start wrecking some of the girls who were 620 00:33:26,600 --> 00:33:32,680 Speaker 4: hitting and treating their treating his fiance his girlfriend unfairly. 621 00:33:33,320 --> 00:33:35,720 Speaker 4: And the funny thing to me to think about here 622 00:33:35,960 --> 00:33:39,840 Speaker 4: is if a dude pretending to be a girl decided 623 00:33:39,920 --> 00:33:42,200 Speaker 4: he wanted to be the enforcer. I mean, you just 624 00:33:42,240 --> 00:33:46,640 Speaker 4: put Dennis Rodman in a long wig, and I feel 625 00:33:46,640 --> 00:33:49,320 Speaker 4: like that dude could go out even at fifty five 626 00:33:49,400 --> 00:33:52,560 Speaker 4: or sixty whatever he is, and wreck some girls to 627 00:33:52,640 --> 00:33:56,680 Speaker 4: protect Caitlin Clark also be heroic. According to liberals Patty 628 00:33:56,720 --> 00:33:58,160 Speaker 4: in New Jersey, what you got for us? 629 00:33:59,320 --> 00:34:02,880 Speaker 10: It really bought about the fact that like women just 630 00:34:03,000 --> 00:34:06,440 Speaker 10: can't stick together with being women, Like we have to 631 00:34:06,720 --> 00:34:10,640 Speaker 10: like further seat to like divide this on race and whatever. 632 00:34:10,760 --> 00:34:14,239 Speaker 10: I mean, the girl is talented, no denying, she's a white, 633 00:34:14,239 --> 00:34:17,040 Speaker 10: straight woman. Can't we just like support her and just 634 00:34:17,120 --> 00:34:20,280 Speaker 10: you know, like can't just women unify like the whole, 635 00:34:20,360 --> 00:34:24,160 Speaker 10: like like making the division with race. It just it 636 00:34:24,200 --> 00:34:24,759 Speaker 10: annoys me. 637 00:34:24,840 --> 00:34:27,640 Speaker 4: And why do we think it's actually a good question, Patty? 638 00:34:27,719 --> 00:34:30,280 Speaker 4: Why do you think that doesn't happen in men's sports? 639 00:34:30,600 --> 00:34:33,120 Speaker 4: I can't think of I know, in hockey, like the 640 00:34:33,120 --> 00:34:35,680 Speaker 4: goal scorers get wrecked up and they're enforcers, but that's 641 00:34:35,719 --> 00:34:37,480 Speaker 4: kind of a part of the game. And why do 642 00:34:37,560 --> 00:34:39,680 Speaker 4: you think I can't think of a rookie who's come 643 00:34:39,719 --> 00:34:43,000 Speaker 4: into a male sport and been treated like this. 644 00:34:43,160 --> 00:34:43,960 Speaker 2: Why do you think it is? 645 00:34:44,480 --> 00:34:47,480 Speaker 10: Because it just doesn't happen. And you guys made a 646 00:34:47,480 --> 00:34:50,880 Speaker 10: good point before. It doesn't even happen in other women's sports, 647 00:34:51,360 --> 00:34:53,480 Speaker 10: like you know, and again that like you know, the 648 00:34:54,400 --> 00:34:56,799 Speaker 10: tide rising all boats like can't we just have this 649 00:34:56,880 --> 00:34:59,959 Speaker 10: here like it's just it's very frustrating. I think race 650 00:35:00,239 --> 00:35:04,680 Speaker 10: tends to get inserted in everything lately to divide everything, 651 00:35:04,760 --> 00:35:08,160 Speaker 10: and even with like the entertainment things like sports. You know, 652 00:35:08,239 --> 00:35:11,000 Speaker 10: it's it's really terrible that we just can't put this 653 00:35:11,160 --> 00:35:14,239 Speaker 10: aside and say that this girl is a is a 654 00:35:15,040 --> 00:35:18,560 Speaker 10: gifted athlete. She just happens to be a white woman, 655 00:35:19,000 --> 00:35:21,799 Speaker 10: you know, a straight girl playing you know, Okay, if 656 00:35:21,840 --> 00:35:26,600 Speaker 10: it's and it bothers me because you complain about not 657 00:35:26,800 --> 00:35:32,359 Speaker 10: being accepted as a minority black woman. You know, you're you're, 658 00:35:32,520 --> 00:35:37,200 Speaker 10: you're you're actually you are. It's it's racial to bringing 659 00:35:37,239 --> 00:35:39,920 Speaker 10: this against her like this. It is racism. 660 00:35:40,160 --> 00:35:40,480 Speaker 2: It is. 661 00:35:41,280 --> 00:35:44,719 Speaker 4: Yeah, Jordan, quickly here, you got like twenty seconds for us. 662 00:35:44,800 --> 00:35:45,080 Speaker 2: Jordan. 663 00:35:47,560 --> 00:35:50,560 Speaker 4: Yeah, if the one thing I think, well, all these 664 00:35:50,600 --> 00:35:53,120 Speaker 4: women don't like her that nobody's talking about. 665 00:35:53,800 --> 00:35:56,880 Speaker 2: She's hot compared to these other w NBA players. 666 00:35:56,920 --> 00:35:59,319 Speaker 1: Let's just be honest, she's really hot. 667 00:35:59,000 --> 00:36:02,000 Speaker 2: Compared to the average WNBA player. Thank you, Jordan. 668 00:36:02,080 --> 00:36:03,680 Speaker 4: This is like you and me be a good looking 669 00:36:03,719 --> 00:36:07,000 Speaker 4: for radio show host buck like the standard. I would 670 00:36:07,000 --> 00:36:10,759 Speaker 4: just say the average WNBA player is not a is 671 00:36:10,800 --> 00:36:11,160 Speaker 4: not a. 672 00:36:11,280 --> 00:36:15,440 Speaker 1: There was a radio host swimsuit calendar of dudes, of 673 00:36:15,600 --> 00:36:19,200 Speaker 1: dudes we might eke onto, like the extra month or something, 674 00:36:19,239 --> 00:36:20,879 Speaker 1: you know what I mean. Radio hosts are not known 675 00:36:20,920 --> 00:36:21,640 Speaker 1: for the tabs. 676 00:36:22,160 --> 00:36:24,360 Speaker 4: I told Buck, when you go into a press box, 677 00:36:24,360 --> 00:36:26,640 Speaker 4: there's a lot of ugly dudes in there being good 678 00:36:26,680 --> 00:36:27,879 Speaker 4: looking for a sports rider. 679 00:36:27,960 --> 00:36:29,120 Speaker 2: Ain't that high of a standard.