1 00:00:00,120 --> 00:00:03,360 Speaker 1: Welcome to today's edition of The Clay, Travis and Buck 2 00:00:03,400 --> 00:00:04,720 Speaker 1: Sexton Show podcast. 3 00:00:05,320 --> 00:00:05,560 Speaker 2: Oo. 4 00:00:06,080 --> 00:00:09,520 Speaker 1: Welcome back in now number three Tuesday edition of the program. 5 00:00:09,600 --> 00:00:12,039 Speaker 1: Appreciate all of you hanging out with us. We've had 6 00:00:12,039 --> 00:00:16,680 Speaker 1: a bevy of topics that have been firing up reaction, 7 00:00:18,079 --> 00:00:23,079 Speaker 1: but including the debate between Lady and the Tramp and 8 00:00:23,920 --> 00:00:26,599 Speaker 1: Peter Pan, both Buck and I picking our favorite Chit 9 00:00:26,680 --> 00:00:31,040 Speaker 1: Disney movie as children. I'll point out Peter Pan just 10 00:00:31,400 --> 00:00:35,520 Speaker 1: absolutely obliterating Buck's awful decision of Lady in the Tramp. 11 00:00:35,600 --> 00:00:36,520 Speaker 1: This is nonsense. 12 00:00:36,640 --> 00:00:39,040 Speaker 2: It is neck and neck, and it's your Twitter account 13 00:00:39,159 --> 00:00:41,680 Speaker 2: that fired out this poll, sir, So it's fifty five 14 00:00:41,840 --> 00:00:44,760 Speaker 2: forty five. Now we're heading to like a two thousand 15 00:00:44,880 --> 00:00:46,479 Speaker 2: Bush v. Gore finale. 16 00:00:46,600 --> 00:00:50,680 Speaker 1: Here. Might have to wait and see whether we have 17 00:00:50,800 --> 00:00:55,560 Speaker 1: the flood coming in Fulton County in Atlanta to see 18 00:00:55,560 --> 00:00:57,360 Speaker 1: whether or not we can actually get any of the 19 00:00:57,440 --> 00:01:00,680 Speaker 1: votes tallied. But again at Clay Travis, Clay and Buck, 20 00:01:00,720 --> 00:01:04,320 Speaker 1: you can also go vote there. Thousands of you weighing 21 00:01:04,440 --> 00:01:07,760 Speaker 1: in so far, tons of comments. I believe Ali said 22 00:01:07,800 --> 00:01:11,520 Speaker 1: we have a new We're about to set about to 23 00:01:11,560 --> 00:01:16,440 Speaker 1: set an all time record for VIP emails people absolutely 24 00:01:16,880 --> 00:01:21,880 Speaker 1: firing away. Okay, so really good interview last night. We 25 00:01:21,880 --> 00:01:23,560 Speaker 1: were talking about this earlier in the program that we 26 00:01:23,560 --> 00:01:25,240 Speaker 1: were just going to discuss it. In the third hour, 27 00:01:26,080 --> 00:01:29,520 Speaker 1: Tucker Carlson set down with Elon Musk, as I said, 28 00:01:30,360 --> 00:01:34,160 Speaker 1: the most successful African American entrepreneur of all time, Elon 29 00:01:34,280 --> 00:01:39,200 Speaker 1: Musk now owns Twitter, killing it with Tesla and SpaceX. 30 00:01:39,240 --> 00:01:41,240 Speaker 1: And I did love as a part of this discussion 31 00:01:41,319 --> 00:01:45,759 Speaker 1: last night that I was watching when Elon Musk said, Hey, 32 00:01:45,959 --> 00:01:50,520 Speaker 1: actually the business of Twitter isn't very complicated compared to 33 00:01:50,760 --> 00:01:55,360 Speaker 1: building cars or sending rocket ships to space. And I 34 00:01:55,480 --> 00:01:58,680 Speaker 1: love that because so few people who are criticizing Elon 35 00:01:58,800 --> 00:02:03,200 Speaker 1: Musk understand even the most basic elements of business and 36 00:02:03,280 --> 00:02:08,080 Speaker 1: what going out and ending up owning a company like 37 00:02:08,160 --> 00:02:12,480 Speaker 1: Twitter would do. But probably the most significant thing that 38 00:02:12,520 --> 00:02:16,600 Speaker 1: Elon Musk has done so far is when he took over, 39 00:02:16,720 --> 00:02:21,320 Speaker 1: Twitter had around eight thousand employees. Now I believe they 40 00:02:21,320 --> 00:02:24,520 Speaker 1: are down to fifteen hundred, and he says it turns 41 00:02:24,600 --> 00:02:27,200 Speaker 1: out you don't need that many employees if you just 42 00:02:27,360 --> 00:02:32,079 Speaker 1: actually run a business as opposed to an activist organization. 43 00:02:32,600 --> 00:02:33,680 Speaker 1: Listen to cut eight. 44 00:02:36,840 --> 00:02:38,919 Speaker 3: What percentage of your staff? Did you fire at Twitter? 45 00:02:39,320 --> 00:02:40,920 Speaker 3: One of the great business stories of the year. 46 00:02:41,760 --> 00:02:45,040 Speaker 4: I think we're about twenty percent of the original size. 47 00:02:45,120 --> 00:02:46,200 Speaker 3: So eighty percent left? 48 00:02:46,760 --> 00:02:50,160 Speaker 4: Yes, so mean a lot of people voluntarily? 49 00:02:50,400 --> 00:02:54,000 Speaker 3: Sure? Sure, but it's eighty percent or gone from the 50 00:02:54,040 --> 00:02:56,400 Speaker 3: data correct, guess So, how do you run the company 51 00:02:56,400 --> 00:02:58,120 Speaker 3: with only twenty percent of the staff. 52 00:02:59,120 --> 00:03:01,560 Speaker 4: It turns out you don't need that will let many 53 00:03:01,600 --> 00:03:05,640 Speaker 4: people to run Twitter, but eighty that's a lot, yes 54 00:03:06,720 --> 00:03:08,919 Speaker 4: of it. I mean, if you're not trying to run 55 00:03:09,000 --> 00:03:15,639 Speaker 4: some sort of glorified activist organization, you don't care that 56 00:03:15,720 --> 00:03:18,040 Speaker 4: much about censorship, then you can really let go a 57 00:03:18,120 --> 00:03:18,519 Speaker 4: lot of people. 58 00:03:18,600 --> 00:03:21,760 Speaker 2: Turns out the employees that he's referring to here when 59 00:03:21,800 --> 00:03:24,760 Speaker 2: he says it's a glorified activist organization is exactly what 60 00:03:24,800 --> 00:03:27,360 Speaker 2: it was. And by the way, that is what YouTube is, 61 00:03:27,880 --> 00:03:31,760 Speaker 2: that is what Facebook. Is the same or worse pre 62 00:03:31,960 --> 00:03:36,320 Speaker 2: elon at those places as it is as it was 63 00:03:36,640 --> 00:03:39,520 Speaker 2: at Twitter, And I think that everyone needs to remember 64 00:03:39,560 --> 00:03:42,920 Speaker 2: that and think about the ways that that influences. 65 00:03:42,520 --> 00:03:43,480 Speaker 1: All political issues. 66 00:03:43,480 --> 00:03:47,600 Speaker 2: But specifically the twenty twenty election, you had activist groups 67 00:03:47,880 --> 00:03:52,800 Speaker 2: posing as free speech exchange of idea platforms, which was 68 00:03:52,880 --> 00:03:56,000 Speaker 2: which was a total lie, but it was clady. Did 69 00:03:56,000 --> 00:03:59,960 Speaker 2: you ever see there were these Instagram videos and tiktoks 70 00:04:00,400 --> 00:04:04,360 Speaker 2: and this really happened before Elon bought it of people 71 00:04:04,480 --> 00:04:06,520 Speaker 2: who were like, hey, and day in my life at Twitter. 72 00:04:06,720 --> 00:04:09,800 Speaker 2: I'm just like gonna go like go walk in at 73 00:04:09,840 --> 00:04:12,640 Speaker 2: like eleven am. And now I'm just gonna like walk around. Oh, 74 00:04:12,680 --> 00:04:15,440 Speaker 2: look at this free susheet today. Amazed, like gonna go 75 00:04:15,480 --> 00:04:17,560 Speaker 2: take a nap now, Like, oh, we have like a 76 00:04:18,080 --> 00:04:20,600 Speaker 2: trust safety and DEI thing We're gonna go to that. 77 00:04:21,560 --> 00:04:24,799 Speaker 2: It was like daycamp for adults, and people were making 78 00:04:24,920 --> 00:04:27,880 Speaker 2: videos about what a joke it was and how they 79 00:04:27,880 --> 00:04:31,800 Speaker 2: were being fed and getting like free massages and yoga 80 00:04:31,839 --> 00:04:36,120 Speaker 2: therapy during the workday at this place. So yeah, what's 81 00:04:36,160 --> 00:04:39,120 Speaker 2: amazing is that the people who complained about Twitter never 82 00:04:39,160 --> 00:04:42,359 Speaker 2: have an answer for Twitter was gonna go bankrupt. This 83 00:04:42,480 --> 00:04:45,720 Speaker 2: was gonna happen. Twitter was gonna die as a business altogether. 84 00:04:45,839 --> 00:04:49,080 Speaker 2: Elon saved it. But that's because everyone has to remember 85 00:04:49,320 --> 00:04:52,719 Speaker 2: the purpose of Twitter. No, it started out under the 86 00:04:52,720 --> 00:04:56,680 Speaker 2: promise that it would be a free speech platform. That 87 00:04:56,720 --> 00:04:58,159 Speaker 2: was what that was how they got people like me 88 00:04:58,240 --> 00:04:59,840 Speaker 2: and you using it? Right, When did you, I think 89 00:04:59,880 --> 00:05:02,080 Speaker 2: I I started Twitter in twenty eleven when I got 90 00:05:02,080 --> 00:05:03,320 Speaker 2: into media for the first time. 91 00:05:03,480 --> 00:05:06,400 Speaker 1: Yeah, I started Twitter when I had I think my 92 00:05:06,560 --> 00:05:09,680 Speaker 1: second book was about to come out, and I was thinking, Okay, 93 00:05:09,720 --> 00:05:11,960 Speaker 1: this was like two thousand and eight, and I thought, 94 00:05:12,120 --> 00:05:15,600 Speaker 1: I need as much promotional opportunity. Maybe two thousand and nine, 95 00:05:15,839 --> 00:05:18,000 Speaker 1: maybe in two thousand and nine. I need as much 96 00:05:18,080 --> 00:05:22,120 Speaker 1: promotional opportunity as I possibly can. So I started my 97 00:05:22,160 --> 00:05:26,440 Speaker 1: Twitter account in two thousand and nine and rapidly realized 98 00:05:26,480 --> 00:05:29,840 Speaker 1: how much I like it in terms of just a 99 00:05:30,080 --> 00:05:35,880 Speaker 1: mechanism by which news story spread. But now you know, 100 00:05:35,920 --> 00:05:39,719 Speaker 1: a part of me wonders, I think it's certainly been 101 00:05:39,839 --> 00:05:42,880 Speaker 1: worth it for my career to be on Twitter. I 102 00:05:42,920 --> 00:05:47,520 Speaker 1: cannot imagine buck being a real human that does not 103 00:05:47,760 --> 00:05:51,440 Speaker 1: use Twitter for work and being obsessively on it. Does 104 00:05:51,440 --> 00:05:54,520 Speaker 1: that make sense? Like I have friends who are practicing attorneys, 105 00:05:54,880 --> 00:05:57,839 Speaker 1: and they say, for instance, I work so much. The 106 00:05:57,920 --> 00:06:00,360 Speaker 1: last thing I want to do is worry about what 107 00:06:00,600 --> 00:06:03,960 Speaker 1: is trending on social media on any given day. And 108 00:06:04,520 --> 00:06:06,720 Speaker 1: I appreciate people out there who are fighting in their 109 00:06:06,760 --> 00:06:11,480 Speaker 1: free time. I've not been on Facebook in probably a decade, 110 00:06:11,680 --> 00:06:13,440 Speaker 1: Like I don't remember the last time I went and 111 00:06:13,480 --> 00:06:16,120 Speaker 1: looked at anything on Facebook. I don't think I would 112 00:06:16,160 --> 00:06:19,360 Speaker 1: be on social media very much if we didn't have 113 00:06:19,440 --> 00:06:22,640 Speaker 1: the jobs that we have. But what Elon Musk is 114 00:06:22,680 --> 00:06:25,600 Speaker 1: doing is incredibly important. I want to play a couple 115 00:06:25,640 --> 00:06:29,320 Speaker 1: of more cuts because while he's getting ripped to shreds, 116 00:06:29,720 --> 00:06:31,800 Speaker 1: I thought this was interesting. Did you see who Elon 117 00:06:31,960 --> 00:06:36,040 Speaker 1: voted for. He voted for Biden over Trump in twenty twenty. 118 00:06:36,360 --> 00:06:38,000 Speaker 1: So when people are out there talking about it, what 119 00:06:38,080 --> 00:06:41,520 Speaker 1: a far right wing idiologue he is? Listen to cut nine. 120 00:06:42,120 --> 00:06:44,599 Speaker 3: You've allowed Donald Trump back on Twitter. He hasn't taken 121 00:06:44,640 --> 00:06:46,400 Speaker 3: you up on your offer because he's got his own thing. 122 00:06:46,880 --> 00:06:48,479 Speaker 3: Do you think he will go back on Twitter. 123 00:06:48,880 --> 00:06:52,599 Speaker 4: Well, that's obviously off to him. My job is to 124 00:06:54,080 --> 00:06:59,719 Speaker 4: you know, I take the freedom of speech very seriously. 125 00:07:01,000 --> 00:07:04,159 Speaker 4: It's you know, I didn't I didn't vote for Donald Trump. 126 00:07:04,120 --> 00:07:06,719 Speaker 4: I actually vote for Biden. Not saying I'm a huge 127 00:07:06,720 --> 00:07:08,920 Speaker 4: fan of Biden, because I would think that would probably 128 00:07:08,920 --> 00:07:12,840 Speaker 4: be in accurate. But you know, we have difficult choices 129 00:07:12,880 --> 00:07:18,800 Speaker 4: to make in these residential elections. It's not I would prefer, frankly, 130 00:07:18,840 --> 00:07:23,680 Speaker 4: that we we put someone just a normal person as president. 131 00:07:24,920 --> 00:07:28,960 Speaker 1: I think that's probably overwhelmingly the wish right. 132 00:07:29,440 --> 00:07:31,480 Speaker 2: So so I think it's so interesting because what Elon 133 00:07:31,560 --> 00:07:35,400 Speaker 2: has showed with with Twitter specifically, and I think it's 134 00:07:35,400 --> 00:07:37,880 Speaker 2: so important for him to remember extra forget even about 135 00:07:37,920 --> 00:07:42,920 Speaker 2: just social media companies, think about the education bureaucracy, think 136 00:07:42,920 --> 00:07:46,240 Speaker 2: about the federal government. There are all of these places 137 00:07:46,360 --> 00:07:50,000 Speaker 2: that once they're in a position to the commissars, the 138 00:07:50,000 --> 00:07:54,320 Speaker 2: political enforcers start to pile in and then it's you know, 139 00:07:54,600 --> 00:07:56,760 Speaker 2: it kind of accelerates the effect snowballs. 140 00:07:57,040 --> 00:07:59,680 Speaker 1: Is why if you look at public education. 141 00:07:59,520 --> 00:08:02,760 Speaker 2: In the United States over the last twenty years, something 142 00:08:02,920 --> 00:08:04,520 Speaker 2: like and someone's gonna fact check me on this, but 143 00:08:04,560 --> 00:08:07,120 Speaker 2: something like for every teacher that has been added, there 144 00:08:07,120 --> 00:08:09,880 Speaker 2: are six administrators. Yeah, and a lot of these administrators 145 00:08:09,960 --> 00:08:12,760 Speaker 2: just push around paperwork for the unions so that other 146 00:08:12,880 --> 00:08:15,360 Speaker 2: people who can you know, it's essentially a jobs program 147 00:08:15,400 --> 00:08:18,320 Speaker 2: for people that shouldn't have jobs or aren't doing anything worthwhile. 148 00:08:19,280 --> 00:08:24,040 Speaker 2: Twitter was effectively a massive surveillance and suppression operation masquerading 149 00:08:24,120 --> 00:08:26,360 Speaker 2: as a free speech platform. That's what you can really 150 00:08:26,400 --> 00:08:29,600 Speaker 2: take from the Elon discussion with with Tucker last night. 151 00:08:29,840 --> 00:08:32,040 Speaker 2: It reminds me of the secret police in East Germany 152 00:08:32,160 --> 00:08:35,760 Speaker 2: right after the partition. The Stazi clay had about one 153 00:08:35,800 --> 00:08:41,760 Speaker 2: hundred thousand full time like spy surveillance people and hundreds 154 00:08:41,800 --> 00:08:45,200 Speaker 2: of thousands of part time collaborators. So you're talking about 155 00:08:45,280 --> 00:08:47,760 Speaker 2: people whose job was just to monitor what you're saying 156 00:08:47,760 --> 00:08:51,240 Speaker 2: and doing. In the hundreds of thousands, in the employee 157 00:08:51,240 --> 00:08:54,200 Speaker 2: of the state for East Germany, I think had like 158 00:08:54,280 --> 00:08:55,840 Speaker 2: fifteen million people something like that. 159 00:08:55,960 --> 00:08:59,240 Speaker 1: Not that big. That was Twitter. I think it's so 160 00:08:59,320 --> 00:09:01,480 Speaker 1: important to point now that he voted for Joe Biden 161 00:09:02,440 --> 00:09:05,520 Speaker 1: because the way that the left wing media in this 162 00:09:05,640 --> 00:09:10,200 Speaker 1: country is treating Elon musk Is as if he is 163 00:09:10,360 --> 00:09:15,480 Speaker 1: some far right wing ideologue, And to me, it's representative 164 00:09:15,640 --> 00:09:17,640 Speaker 1: of the graphic that we talked about when we did 165 00:09:17,640 --> 00:09:20,960 Speaker 1: the Patrick Bette David podcast on Friday. It's the way 166 00:09:20,960 --> 00:09:23,360 Speaker 1: that I feel in particular, and I saw Elon share 167 00:09:23,400 --> 00:09:27,319 Speaker 1: it several years after I did. The left has gone 168 00:09:27,400 --> 00:09:30,720 Speaker 1: so far left wing in this country that I actually 169 00:09:30,760 --> 00:09:33,600 Speaker 1: think if you're one of the seventy five or eighty 170 00:09:33,640 --> 00:09:36,800 Speaker 1: percent of the American public people who believe things like 171 00:09:37,040 --> 00:09:41,440 Speaker 1: America's pretty great place to live, by and large, Americans 172 00:09:41,480 --> 00:09:46,040 Speaker 1: are pretty fair and friendly to others, capitalism works, the 173 00:09:46,080 --> 00:09:48,960 Speaker 1: meritocracy is real, and I'm just tossing off a few 174 00:09:49,000 --> 00:09:53,400 Speaker 1: of those things. Western civilization by and large is beneficial 175 00:09:53,440 --> 00:09:56,240 Speaker 1: to society as a whole. If you just believe basic 176 00:09:56,320 --> 00:10:00,040 Speaker 1: things like that, the left doesn't tolerate you anymore. And 177 00:10:00,160 --> 00:10:03,520 Speaker 1: even a guy like Elon Musk will be susceptible. Buck, 178 00:10:03,559 --> 00:10:05,600 Speaker 1: you see what's written about me, You know, like, I'm 179 00:10:05,600 --> 00:10:07,840 Speaker 1: a right we extreamist. Well what do you what does 180 00:10:07,880 --> 00:10:10,040 Speaker 1: he believe that's right extremism. He thinks that, you know, 181 00:10:10,320 --> 00:10:13,079 Speaker 1: boys and girls should not compete against each other in sports. 182 00:10:13,200 --> 00:10:16,640 Speaker 1: He thinks that biology is real. It thinks that you 183 00:10:16,679 --> 00:10:19,480 Speaker 1: should be able to make a decision for your family 184 00:10:19,760 --> 00:10:22,280 Speaker 1: about whether your kids have to wear masks in schools. 185 00:10:22,280 --> 00:10:26,240 Speaker 1: Like these are all very rational, reasonable things that have 186 00:10:26,360 --> 00:10:30,360 Speaker 1: been completely rejected by the left. And that is what 187 00:10:30,400 --> 00:10:34,360 Speaker 1: I think is is illuminating here. Remember, the party that 188 00:10:34,520 --> 00:10:38,280 Speaker 1: claims that it's so convinced of its moral rectitude is 189 00:10:38,440 --> 00:10:42,760 Speaker 1: desperately afraid, Buck, of its ideas actually having to be 190 00:10:42,880 --> 00:10:45,640 Speaker 1: debated in the public square. That's the reality of where 191 00:10:45,640 --> 00:10:46,000 Speaker 1: we are. 192 00:10:46,360 --> 00:10:49,440 Speaker 2: I think that those on the on the left or 193 00:10:49,440 --> 00:10:55,240 Speaker 2: on the Democrat side, of things who have certain principles 194 00:10:55,440 --> 00:10:58,200 Speaker 2: rooted in. You know, they call themselves liberals, which I've 195 00:10:58,240 --> 00:11:02,360 Speaker 2: always thought is a total misnomer for the people that 196 00:11:02,360 --> 00:11:05,520 Speaker 2: are liberals in this country because they are anti liberty, 197 00:11:05,559 --> 00:11:10,000 Speaker 2: they are statists, or they are authoritarians. They will never 198 00:11:10,120 --> 00:11:11,800 Speaker 2: leave you alone. They want to tell you what to do. 199 00:11:11,840 --> 00:11:14,640 Speaker 2: We all understand the mentality wokeness is the same. Wokeness 200 00:11:14,679 --> 00:11:17,760 Speaker 2: is the antithesis of liberty. Wokeness is you can't say, think, 201 00:11:17,920 --> 00:11:21,120 Speaker 2: or anything that is against in a sense, the revolution 202 00:11:21,360 --> 00:11:24,920 Speaker 2: or the hive mind is to be destroyed, right, And 203 00:11:25,240 --> 00:11:28,439 Speaker 2: you know, you've seen this playing out over a number 204 00:11:28,440 --> 00:11:31,280 Speaker 2: of years now, and I just think that Clay honestly, 205 00:11:33,080 --> 00:11:35,720 Speaker 2: you know, we're at a point now where Elon and 206 00:11:35,840 --> 00:11:40,120 Speaker 2: others like him realize that the Democrats there's a monster 207 00:11:40,200 --> 00:11:42,000 Speaker 2: that has been created on the left here, and people 208 00:11:42,040 --> 00:11:44,400 Speaker 2: like Bill Maher you can see he kind of knows 209 00:11:44,679 --> 00:11:46,720 Speaker 2: now they egged it on, they were voting for it. 210 00:11:47,080 --> 00:11:49,800 Speaker 2: But that monster will consume everything. That monster will destroy 211 00:11:49,880 --> 00:11:53,240 Speaker 2: Western civilization if it continues. So there are some people now, 212 00:11:53,280 --> 00:11:58,040 Speaker 2: I think that have a little bit of lib regret. 213 00:11:57,360 --> 00:12:00,480 Speaker 1: And the only way for that lib regret to Finally, 214 00:12:00,559 --> 00:12:05,280 Speaker 1: flourish is a massive ass kicking, because unless we get 215 00:12:05,360 --> 00:12:11,439 Speaker 1: a monumental win in a presidential election, then Democrats are 216 00:12:11,480 --> 00:12:14,400 Speaker 1: not going to acknowledge that the woke monster has taken 217 00:12:14,440 --> 00:12:18,360 Speaker 1: over their party and alienated them from vast majorities of white, Black, 218 00:12:18,400 --> 00:12:21,440 Speaker 1: Asian and Hispanic people all over this country who believe 219 00:12:21,480 --> 00:12:23,840 Speaker 1: that America is a force for good. You don't risk 220 00:12:23,880 --> 00:12:25,839 Speaker 1: your life to come here because you think this is 221 00:12:25,880 --> 00:12:28,040 Speaker 1: a fundamentally racist and oppressive society. 222 00:12:28,400 --> 00:12:32,240 Speaker 2: I don't even mean this as an ask or as 223 00:12:32,280 --> 00:12:37,120 Speaker 2: a question about Trump's competency or how well he did, 224 00:12:37,200 --> 00:12:39,200 Speaker 2: because I thought he was a very good president. You 225 00:12:39,240 --> 00:12:41,000 Speaker 2: have said that you thought he's a very good president. 226 00:12:41,720 --> 00:12:44,680 Speaker 2: But it's just to look at the actual power structures 227 00:12:44,679 --> 00:12:47,520 Speaker 2: in this country and how they operate. Even with a 228 00:12:47,520 --> 00:12:49,959 Speaker 2: figure like Trump who was a fighter, a brawler, and 229 00:12:51,200 --> 00:12:57,280 Speaker 2: was instinctually very well suited to just fight the commies, right, 230 00:12:58,640 --> 00:13:02,600 Speaker 2: did the communists in this gain ground or lose ground 231 00:13:03,000 --> 00:13:05,200 Speaker 2: at the end of the Trump administration? And I'm not 232 00:13:05,280 --> 00:13:07,439 Speaker 2: saying this is on Trump. I'm saying, you know, it's 233 00:13:07,520 --> 00:13:10,520 Speaker 2: it's it's Disney, it's me, it's everything right, it's it's education. 234 00:13:10,679 --> 00:13:11,560 Speaker 1: It's all these things. 235 00:13:12,000 --> 00:13:14,640 Speaker 2: But even when we win an election, even when we 236 00:13:14,720 --> 00:13:18,360 Speaker 2: have a figure like Trump, I think, you know, by 237 00:13:18,400 --> 00:13:19,880 Speaker 2: the way, I don't even pretend that I have a 238 00:13:19,880 --> 00:13:22,200 Speaker 2: clear answer to that. I think you could push both ways. 239 00:13:22,880 --> 00:13:25,920 Speaker 2: But wokeness certainly wasn't defeated after four years of Trump. 240 00:13:25,960 --> 00:13:27,280 Speaker 2: I mean, look what they managed to pull off in 241 00:13:27,320 --> 00:13:28,280 Speaker 2: the twenty twenty election. 242 00:13:28,720 --> 00:13:30,440 Speaker 1: There's no doubt. The only thing I think you can 243 00:13:30,480 --> 00:13:33,600 Speaker 1: point to and say, at least we have this is 244 00:13:33,640 --> 00:13:37,080 Speaker 1: the Supreme Court, because imagine where we'd be without the 245 00:13:37,120 --> 00:13:41,599 Speaker 1: Supreme Court. I mean, they have been the best backstop 246 00:13:41,720 --> 00:13:44,719 Speaker 1: against authoritarian impulse in the Biden administration. 247 00:13:45,360 --> 00:13:47,319 Speaker 2: That's the centile biggest win by the way that Donald 248 00:13:47,320 --> 00:13:50,679 Speaker 2: Trump delivered that it is lasting. Forget you know what 249 00:13:51,000 --> 00:13:53,560 Speaker 2: he did and his regulations and his treatment of the border. 250 00:13:53,640 --> 00:13:55,760 Speaker 2: Unfortunately that stuff can be flipped by a Democrat, as 251 00:13:55,800 --> 00:13:58,720 Speaker 2: we see. But the Supreme Court, the reason it it 252 00:13:58,720 --> 00:14:02,640 Speaker 2: it enraged to live so much is that there's a permanence, 253 00:14:02,760 --> 00:14:05,079 Speaker 2: or at least a semi permanence to it'll last for decades. 254 00:14:06,160 --> 00:14:10,199 Speaker 1: My Patriots supply makes the world's best emergency food, specially 255 00:14:10,240 --> 00:14:13,240 Speaker 1: prepared meals, packaged in such a way you can safely 256 00:14:13,280 --> 00:14:15,960 Speaker 1: store them in their home for twenty years if needed. 257 00:14:16,360 --> 00:14:18,880 Speaker 1: We've got this in the Travis household, one for me, 258 00:14:19,080 --> 00:14:21,840 Speaker 1: one for my wife, one for each of our three kids. 259 00:14:22,240 --> 00:14:25,560 Speaker 1: When you need to rely on this food, you hope 260 00:14:25,560 --> 00:14:28,400 Speaker 1: you never will. 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Don't 277 00:15:27,240 --> 00:15:30,480 Speaker 1: let the emergency food offer from my Patriot Supply pass 278 00:15:30,640 --> 00:15:35,200 Speaker 1: you by act today go to Mypatriot Supply dot com. 279 00:15:35,240 --> 00:15:40,000 Speaker 1: That's my Patriot Supply dot Com helping you separate truth 280 00:15:40,120 --> 00:15:45,000 Speaker 1: from fiction every single weekday the Clay Travis and Buck 281 00:15:45,040 --> 00:15:45,800 Speaker 1: Sexton Show. 282 00:15:45,960 --> 00:15:48,200 Speaker 2: So things are not going great in New York City 283 00:15:48,560 --> 00:15:52,320 Speaker 2: these days when you look at the well, obviously the 284 00:15:52,400 --> 00:15:54,480 Speaker 2: arrest of the Trump and that whole circus, but also 285 00:15:54,600 --> 00:15:55,680 Speaker 2: just the crime. 286 00:15:55,400 --> 00:15:56,880 Speaker 1: And the disorder. 287 00:15:57,640 --> 00:16:02,120 Speaker 2: But the good news is for anybody out there who 288 00:16:02,120 --> 00:16:05,880 Speaker 2: lives in an alternate reality in New York City, that 289 00:16:05,960 --> 00:16:11,480 Speaker 2: the Mayor Eric Adams is really interested in not only 290 00:16:11,880 --> 00:16:16,680 Speaker 2: tackling climate change, but in telling people what food they 291 00:16:16,720 --> 00:16:20,720 Speaker 2: should eat as a means of tackling climate change. Basically, 292 00:16:21,240 --> 00:16:24,120 Speaker 2: go veggie to save the planet. Play one. 293 00:16:24,200 --> 00:16:27,520 Speaker 5: One in every five metric tons of common dioxide our 294 00:16:27,640 --> 00:16:32,840 Speaker 5: city emits comes from food. But all food is not 295 00:16:32,880 --> 00:16:38,200 Speaker 5: created equal. The vast majority of food that is contributed 296 00:16:38,240 --> 00:16:44,479 Speaker 5: to our emission crises lies and meat and dairy products. 297 00:16:45,000 --> 00:16:48,480 Speaker 5: Wherever did you know that a plant power diet is 298 00:16:49,240 --> 00:16:53,200 Speaker 5: better for your physical and mental health, and. 299 00:16:53,200 --> 00:16:54,520 Speaker 1: I am living proof of that. 300 00:16:55,160 --> 00:16:58,560 Speaker 5: But the reality is that thanks to this new inventory, 301 00:16:58,960 --> 00:17:02,960 Speaker 5: we're finding out it is better for the planet. 302 00:17:03,560 --> 00:17:06,359 Speaker 1: No, everything he says there, by the way, is not true. 303 00:17:07,440 --> 00:17:09,320 Speaker 2: Look, I know I'm gonna get people that are vegetarians 304 00:17:09,320 --> 00:17:11,320 Speaker 2: that We're gonna get some vegans with like a six pack, 305 00:17:11,320 --> 00:17:12,280 Speaker 2: we'd like, look at me. 306 00:17:12,680 --> 00:17:14,200 Speaker 1: Okay, maybe for some people at work. 307 00:17:14,359 --> 00:17:18,520 Speaker 2: The truth is eating meat, eating protein from animals is 308 00:17:18,640 --> 00:17:21,399 Speaker 2: for most people a superior diet. 309 00:17:22,040 --> 00:17:22,879 Speaker 1: It's very clear. 310 00:17:23,440 --> 00:17:24,960 Speaker 2: People can argue with this as much as they want, 311 00:17:24,960 --> 00:17:28,040 Speaker 2: but it's obvious why all of human history, but also 312 00:17:28,080 --> 00:17:30,160 Speaker 2: just that they're gonna have the city fight climate change 313 00:17:30,160 --> 00:17:31,280 Speaker 2: really got bigger problems. 314 00:17:31,320 --> 00:17:34,720 Speaker 1: Clay, Yeah, I mean, how about you just make people 315 00:17:34,760 --> 00:17:37,560 Speaker 1: feel safe on the subways. Well let's start there and 316 00:17:37,560 --> 00:17:39,959 Speaker 1: then we can move into worrying about plant based diets 317 00:17:39,960 --> 00:17:41,440 Speaker 1: and what it might be doing in New York City. 318 00:17:41,520 --> 00:17:44,000 Speaker 1: Just gonna toss it out there. I think that's I 319 00:17:44,080 --> 00:17:46,159 Speaker 1: think that's a fair fair way to approach it. But 320 00:17:47,040 --> 00:17:48,120 Speaker 1: not these days. 321 00:17:48,160 --> 00:17:51,119 Speaker 2: Friends got to get everybody to you know, they doesn't 322 00:17:51,240 --> 00:17:53,000 Speaker 2: didn't talk or talk about He's got to show eat 323 00:17:53,359 --> 00:17:55,560 Speaker 2: eat bugs or something, or you know, eat the bugs. 324 00:17:55,720 --> 00:17:57,800 Speaker 2: That's on Fox Nation now because they want you to 325 00:17:57,800 --> 00:17:59,880 Speaker 2: eat bugs because that's good for the planet too. They say, 326 00:18:01,080 --> 00:18:03,600 Speaker 2: Oh my gosh, friends, it is a crazy world we 327 00:18:03,800 --> 00:18:06,360 Speaker 2: live in, that is for sure. Fellow gun owners out there, 328 00:18:06,400 --> 00:18:08,760 Speaker 2: do you have a mantis X yet? You need one 329 00:18:09,000 --> 00:18:11,240 Speaker 2: because it's going to make you a better shooter. Dry 330 00:18:11,320 --> 00:18:13,960 Speaker 2: fire practice is what you do with the mantis x system. 331 00:18:14,359 --> 00:18:16,679 Speaker 2: Mantus X lets me train at home so when I 332 00:18:16,720 --> 00:18:18,680 Speaker 2: get out to the range, I'm even better. Plus you 333 00:18:18,720 --> 00:18:20,240 Speaker 2: can bring it with you to the range as a 334 00:18:20,280 --> 00:18:22,920 Speaker 2: warm up or just a hone your skills, and it's 335 00:18:22,920 --> 00:18:25,440 Speaker 2: so much more efficient. And you're going to get real 336 00:18:25,520 --> 00:18:28,199 Speaker 2: time feedback using this system, so your shooting is going 337 00:18:28,280 --> 00:18:30,840 Speaker 2: to be better. The app gives you data driven, real 338 00:18:30,880 --> 00:18:32,200 Speaker 2: time feedback and your technique. 339 00:18:32,200 --> 00:18:32,720 Speaker 1: Here's the thing. 340 00:18:33,080 --> 00:18:36,840 Speaker 2: Ninety four percent of mantis x users I've experienced serious 341 00:18:36,840 --> 00:18:39,920 Speaker 2: improvement within twenty minutes of using the device. Think about 342 00:18:39,920 --> 00:18:43,080 Speaker 2: that for a second. US military is using this. Top 343 00:18:43,080 --> 00:18:45,439 Speaker 2: shooters are using it. Go check it out for yourself. 344 00:18:45,520 --> 00:18:49,520 Speaker 2: Start improving your shooting accuracy today. Get yours at mantisx 345 00:18:49,560 --> 00:18:53,919 Speaker 2: dot com. That's m A n tis x dot com. 346 00:18:53,920 --> 00:18:55,920 Speaker 2: Mantisx dot com. 347 00:18:56,040 --> 00:18:58,000 Speaker 1: What a bauck in No, we are rolling through the 348 00:18:58,000 --> 00:19:01,280 Speaker 1: two day edition of the program Clays Bought Sexton Show. 349 00:19:01,480 --> 00:19:05,199 Speaker 1: Encourage you to go join everyone signed up for the podcast, 350 00:19:05,280 --> 00:19:09,000 Speaker 1: tens of millions of downloads every single month. We love 351 00:19:09,080 --> 00:19:12,119 Speaker 1: all of you listening on the five hundred some odd 352 00:19:12,320 --> 00:19:15,640 Speaker 1: radio stations all over this fabulous country, but we want 353 00:19:15,680 --> 00:19:18,440 Speaker 1: you to be able to listen to everything. Make sure 354 00:19:18,520 --> 00:19:22,640 Speaker 1: you don't miss out on any moment of the program. Okay, 355 00:19:22,640 --> 00:19:25,560 Speaker 1: a couple of things that happened over the weekend that 356 00:19:25,640 --> 00:19:28,320 Speaker 1: we didn't get to yesterday. I wanted to play this 357 00:19:28,440 --> 00:19:32,640 Speaker 1: audio for you. The Biden administration has come out against 358 00:19:32,680 --> 00:19:35,600 Speaker 1: a bill that is going to be passed by Republicans 359 00:19:35,600 --> 00:19:38,040 Speaker 1: in the House and I think probably also passed by 360 00:19:38,080 --> 00:19:41,879 Speaker 1: the Senate, which would essentially let it be known that men, 361 00:19:42,200 --> 00:19:45,320 Speaker 1: that is, biological men who decide to identify as women 362 00:19:45,680 --> 00:19:50,280 Speaker 1: have no space in women's athletics. That sounds like the 363 00:19:50,400 --> 00:19:55,119 Speaker 1: most baseline normal aspect of competition. That's why we have 364 00:19:55,280 --> 00:20:00,000 Speaker 1: men's and women's sports, not a unisex battle for competition. 365 00:20:01,160 --> 00:20:05,040 Speaker 1: But the Biden administration has come out against it, and 366 00:20:05,040 --> 00:20:07,960 Speaker 1: they actually had a I thought really interesting discussion about 367 00:20:07,960 --> 00:20:10,760 Speaker 1: this on Bill Maher's show over the weekend. Let's play 368 00:20:10,760 --> 00:20:15,240 Speaker 1: cut thirty here of Bill Maher going after the Biden 369 00:20:15,240 --> 00:20:17,920 Speaker 1: administration over this woke ridiculousness. Listen. 370 00:20:17,960 --> 00:20:20,240 Speaker 6: Title nine in the early seventies was something that was 371 00:20:20,760 --> 00:20:23,480 Speaker 6: It was a major event in feminism that we finally 372 00:20:23,520 --> 00:20:26,040 Speaker 6: have this law that says, at colleges right, and I 373 00:20:26,040 --> 00:20:29,919 Speaker 6: think high schools do, but definitely colleges, women's sports have 374 00:20:30,000 --> 00:20:32,680 Speaker 6: to be given equal to men's sports so that women 375 00:20:33,040 --> 00:20:35,600 Speaker 6: are you know, and this led to the WNBA and 376 00:20:35,640 --> 00:20:37,960 Speaker 6: lots of other stuff. This seems to be the opposite 377 00:20:37,960 --> 00:20:40,400 Speaker 6: of that. It seems to be so many instances I 378 00:20:40,440 --> 00:20:43,760 Speaker 6: think where wokeness is the opposite of what I grew 379 00:20:43,840 --> 00:20:47,600 Speaker 6: up as deliberate liberalism was let's give the women an 380 00:20:47,640 --> 00:20:50,880 Speaker 6: equal shot, is let's put a mail in this women 381 00:20:51,359 --> 00:20:51,720 Speaker 6: the women. 382 00:20:51,800 --> 00:20:52,560 Speaker 1: I don't get it. 383 00:20:53,680 --> 00:20:57,640 Speaker 2: So I actually think that the rewriting of a lot 384 00:20:57,680 --> 00:20:59,879 Speaker 2: of what Title nind did is an interesting component of 385 00:21:00,200 --> 00:21:06,680 Speaker 2: to Title nine effectively cause the end of men's collegiate 386 00:21:06,680 --> 00:21:10,520 Speaker 2: wrestling in a lot of places. Collegiate rowing something I 387 00:21:10,520 --> 00:21:14,520 Speaker 2: know a little bit about. They destroyed all these men's programs. 388 00:21:14,960 --> 00:21:17,520 Speaker 2: It turns out that actually there's a greater interest in 389 00:21:17,560 --> 00:21:20,840 Speaker 2: a greater number of sports for men to actually just 390 00:21:20,880 --> 00:21:22,920 Speaker 2: compete and play, and then there are for women. But 391 00:21:23,040 --> 00:21:27,359 Speaker 2: clay as you know, because you have massive amounts of 392 00:21:27,359 --> 00:21:32,040 Speaker 2: money going towards men's football, and men's football is the 393 00:21:32,040 --> 00:21:34,400 Speaker 2: big one, right, some other sports maybe basketball gets some money, 394 00:21:34,400 --> 00:21:36,639 Speaker 2: some other things. But all that meant is that now 395 00:21:36,680 --> 00:21:38,280 Speaker 2: you're going to spend all this money on women's teams 396 00:21:38,320 --> 00:21:40,359 Speaker 2: that nobody goes to see, that nobody really cares about. 397 00:21:40,440 --> 00:21:42,480 Speaker 2: You got to recruit for these women's teams that don't 398 00:21:42,480 --> 00:21:44,600 Speaker 2: really do very much for the school, and you got 399 00:21:44,680 --> 00:21:47,000 Speaker 2: rid of a whole lot of men's athletics as a result. 400 00:21:47,000 --> 00:21:49,120 Speaker 2: I mean, crew teams in particular were a big casualty 401 00:21:49,160 --> 00:21:51,680 Speaker 2: this wrestling. You probably know there's some other sports too, 402 00:21:51,920 --> 00:21:54,399 Speaker 2: where right, they were just cutting the men's programs to 403 00:21:54,400 --> 00:21:56,560 Speaker 2: get more parody in the budget. So there was a 404 00:21:56,600 --> 00:21:59,000 Speaker 2: destructive component even to Title nine that I think people 405 00:21:59,000 --> 00:22:01,600 Speaker 2: don't really talk about. And I was familiar with this 406 00:22:01,640 --> 00:22:03,760 Speaker 2: because of college rowing and what was you know, we 407 00:22:04,080 --> 00:22:06,560 Speaker 2: sometimes you'd roll against a men's team and they were 408 00:22:06,600 --> 00:22:09,080 Speaker 2: like it's like they had a bathtub, and you know, 409 00:22:09,119 --> 00:22:10,760 Speaker 2: and two paddles. They're trying to go buy you and 410 00:22:10,760 --> 00:22:12,840 Speaker 2: then you roll against. So our women would roll against 411 00:22:12,840 --> 00:22:16,240 Speaker 2: the women's team, and they had thirty forty thousand dollars 412 00:22:16,400 --> 00:22:18,600 Speaker 2: new shells, you know, going down the river. 413 00:22:18,680 --> 00:22:21,920 Speaker 1: I mean Title nine. This is why I've always thought. 414 00:22:21,960 --> 00:22:25,320 Speaker 1: Somebody floated this argument to me legally a while back, 415 00:22:25,400 --> 00:22:28,920 Speaker 1: Buck and I see what you did there, Hey, yeah, 416 00:22:29,040 --> 00:22:32,600 Speaker 1: no pun intended. I thought this was brilliant. And the 417 00:22:32,760 --> 00:22:37,879 Speaker 1: argument was football isn't a men's sport. Women are open 418 00:22:37,960 --> 00:22:40,720 Speaker 1: to making football teams and playing, they're just not good 419 00:22:40,800 --> 00:22:43,840 Speaker 1: enough to ever make the team, and so football is 420 00:22:43,880 --> 00:22:47,320 Speaker 1: actually a unisex sport. Men and women can both compete 421 00:22:47,320 --> 00:22:49,919 Speaker 1: in it. Eighty five men just happened to get the 422 00:22:49,960 --> 00:22:52,880 Speaker 1: scholarships as opposed to women. And I always thought, well, 423 00:22:52,880 --> 00:22:55,480 Speaker 1: that's really kind of an interesting argument, right, because there 424 00:22:55,600 --> 00:22:59,600 Speaker 1: is no women's football team, so there's just a football team. 425 00:22:59,640 --> 00:23:01,879 Speaker 1: But the result, for people out there who don't understand it, 426 00:23:02,160 --> 00:23:06,400 Speaker 1: Title nine effectively mandated equal scholarships for men and women. 427 00:23:06,800 --> 00:23:11,919 Speaker 1: And because football takes up eighty five male scholarships, they women. 428 00:23:12,200 --> 00:23:15,719 Speaker 1: If you're a women's diver or a field hockey player, 429 00:23:16,119 --> 00:23:19,399 Speaker 1: you might well get a scholarship, And on the sport 430 00:23:19,440 --> 00:23:22,560 Speaker 1: that really gets screwed on it buck is baseball because 431 00:23:23,080 --> 00:23:27,360 Speaker 1: virtually no school in America gives full scholarships to baseball players, 432 00:23:27,680 --> 00:23:30,919 Speaker 1: but every softball player would get a full scholarship, for instance, 433 00:23:31,240 --> 00:23:33,399 Speaker 1: because they have to make up for the eighty five 434 00:23:33,600 --> 00:23:38,600 Speaker 1: And so I think the average male baseball team only 435 00:23:38,640 --> 00:23:41,680 Speaker 1: gets like eight scholarships for all of the players. 436 00:23:41,240 --> 00:23:41,520 Speaker 4: That I know. 437 00:23:41,600 --> 00:23:43,840 Speaker 2: Scholarships are a big part. Is it only scholarship throwers? 438 00:23:44,000 --> 00:23:46,320 Speaker 2: Is it just the overall spend in the athletic program? 439 00:23:46,400 --> 00:23:48,720 Speaker 2: I thought they know the spend well. 440 00:23:48,800 --> 00:23:51,840 Speaker 1: That parody and the spin comes primarily through scholarships to 441 00:23:51,880 --> 00:23:55,199 Speaker 1: stop all cost way more. But football makes money and 442 00:23:55,240 --> 00:23:59,960 Speaker 1: effectively funds entire athletic departments at many schools. Every school 443 00:24:00,000 --> 00:24:04,520 Speaker 1: will lose his money on virtually every sport other than 444 00:24:04,680 --> 00:24:08,080 Speaker 1: football and basketball, and some schools even lose money on football. 445 00:24:08,520 --> 00:24:10,399 Speaker 2: And I wanted a lot of my understanding because I 446 00:24:10,400 --> 00:24:11,960 Speaker 2: actually looked into this as a book called The Game 447 00:24:12,000 --> 00:24:14,160 Speaker 2: of Life written by a guy out of Princeton, where 448 00:24:14,160 --> 00:24:17,560 Speaker 2: they looked at very few schools even make money all 449 00:24:17,600 --> 00:24:20,679 Speaker 2: in on their football program, very few, relatively. I'm not 450 00:24:20,720 --> 00:24:22,679 Speaker 2: talking about you know, you Michigan and the big schools 451 00:24:22,680 --> 00:24:25,520 Speaker 2: that you like, but like D three, D two schools 452 00:24:25,600 --> 00:24:27,200 Speaker 2: lose some money on those football. 453 00:24:26,800 --> 00:24:30,640 Speaker 1: Programs wildly expensive and also, to be fair, a lot 454 00:24:30,640 --> 00:24:34,879 Speaker 1: of athletic programs are run to spend every dollar that 455 00:24:34,920 --> 00:24:38,960 Speaker 1: they make. So you're a nonprofit, so most of them 456 00:24:39,119 --> 00:24:42,680 Speaker 1: are either lost leaders or they're basically they're not trying 457 00:24:42,720 --> 00:24:44,399 Speaker 1: to make money. Right, if you were trying to make money, 458 00:24:44,400 --> 00:24:46,679 Speaker 1: you would have a football in a men's basketball program 459 00:24:46,800 --> 00:24:49,680 Speaker 1: basically cancel out anything else. But I wanted to play 460 00:24:49,760 --> 00:24:53,600 Speaker 1: this too because I actually respect Piers Morgan here because 461 00:24:53,640 --> 00:24:56,359 Speaker 1: he says to Katie Porter, why hasn't he had you 462 00:24:56,440 --> 00:24:58,920 Speaker 1: on his show? Well, I'm seeing people doing the Peers show. 463 00:24:59,280 --> 00:25:03,080 Speaker 1: What's going on Clay Fox those colleagues. Yeah, I did 464 00:25:03,119 --> 00:25:06,480 Speaker 1: get on my Peers some time one time on Peer's's show. 465 00:25:06,920 --> 00:25:09,440 Speaker 1: I'd like to use a trip to London and write 466 00:25:09,440 --> 00:25:12,160 Speaker 1: the whole thing off. If anybody from Piers Morgan's show 467 00:25:12,200 --> 00:25:15,040 Speaker 1: is listening, I'd love to be on your show. I'll 468 00:25:15,040 --> 00:25:17,879 Speaker 1: take a trip to London right off the entire trip 469 00:25:18,400 --> 00:25:20,640 Speaker 1: so that I can appear on the show. On the show, 470 00:25:20,760 --> 00:25:22,959 Speaker 1: I didn't realize that so I guess I'm not. Oh, 471 00:25:23,200 --> 00:25:25,399 Speaker 1: I've been invited, but I wasn't able to do it, 472 00:25:25,440 --> 00:25:28,760 Speaker 1: and then they didn't reach out again. But Katie Porter 473 00:25:28,880 --> 00:25:32,679 Speaker 1: may well be the next Senator from California, and she 474 00:25:32,960 --> 00:25:37,639 Speaker 1: is a left wing zealot idiologue, not very likable person, 475 00:25:37,680 --> 00:25:41,280 Speaker 1: appears to be an awful employer if you're a staff 476 00:25:41,320 --> 00:25:44,960 Speaker 1: member of Congress. But Piers Morgan, she went after Riley Gaines, 477 00:25:44,960 --> 00:25:46,840 Speaker 1: who we've had on this program a lot, Riley Gang's 478 00:25:46,840 --> 00:25:49,960 Speaker 1: former swimmer at Kentucky. She went after Riley Gaines and 479 00:25:50,000 --> 00:25:52,720 Speaker 1: the arguments that she's making, and Peers Morgan actually pushed 480 00:25:52,720 --> 00:25:55,280 Speaker 1: back and said, wait a minute, what do you disagree 481 00:25:55,320 --> 00:25:59,720 Speaker 1: with that she's saying? And this was fantastic listen, including 482 00:25:59,760 --> 00:26:02,440 Speaker 1: my against way disagree with strongly. 483 00:26:02,080 --> 00:26:04,439 Speaker 7: Should be disagree with out of interest. 484 00:26:04,520 --> 00:26:07,000 Speaker 3: I think that it should be up to sporting bodies 485 00:26:07,359 --> 00:26:09,040 Speaker 3: to make the decisions. 486 00:26:08,520 --> 00:26:10,720 Speaker 7: About who well she said is that she's wrong. 487 00:26:11,000 --> 00:26:13,320 Speaker 1: I think that what she has done is try to 488 00:26:13,600 --> 00:26:14,120 Speaker 1: turn this. 489 00:26:14,280 --> 00:26:16,840 Speaker 6: We talked about people, you know, becoming using things to 490 00:26:17,040 --> 00:26:18,880 Speaker 6: kind of get likes and get clicks. 491 00:26:19,240 --> 00:26:21,680 Speaker 7: That's not what she's doing. I've got no truck for 492 00:26:22,000 --> 00:26:24,040 Speaker 7: right against personally but all I've seen her do is 493 00:26:24,080 --> 00:26:27,000 Speaker 7: stand up for women's rights, to fairness nic she she 494 00:26:27,359 --> 00:26:31,200 Speaker 7: competed against Lea Thomas, and it was obviously unfair. Lea 495 00:26:31,280 --> 00:26:33,880 Speaker 7: Thomas won one of the races in the NCAA Championships 496 00:26:33,880 --> 00:26:37,720 Speaker 7: by fifty seconds against a bunch of biological females who 497 00:26:37,760 --> 00:26:38,920 Speaker 7: simply couldn't keep up. 498 00:26:40,640 --> 00:26:43,359 Speaker 1: She can't even explain buck what she disagrees with, but 499 00:26:43,440 --> 00:26:46,959 Speaker 1: the orthodoxy requires her. This I see so often. I 500 00:26:47,040 --> 00:26:49,680 Speaker 1: disagree with everything she's saying. Okay, what in particular, Well, 501 00:26:49,680 --> 00:26:51,520 Speaker 1: you can't even explain it. This is that that was 502 00:26:51,560 --> 00:26:54,000 Speaker 1: so perceptive and well done, I thought by Peers Morgan. 503 00:26:54,400 --> 00:26:57,679 Speaker 2: I have I do know some leftists, real leftists in 504 00:26:57,720 --> 00:27:02,879 Speaker 2: the media personally, and I've had more than one confide 505 00:27:02,880 --> 00:27:05,560 Speaker 2: to me on this issue. And I will not call 506 00:27:05,600 --> 00:27:07,479 Speaker 2: them out because I know them personally and they confide 507 00:27:07,480 --> 00:27:10,520 Speaker 2: it to me. But they know that this is crazy 508 00:27:10,560 --> 00:27:12,920 Speaker 2: and they just don't want the transactivists to come after them. 509 00:27:12,960 --> 00:27:15,960 Speaker 2: They have told me that. So that is the reality 510 00:27:16,040 --> 00:27:19,200 Speaker 2: of being a democrat today. You have to say things 511 00:27:19,640 --> 00:27:23,960 Speaker 2: that everybody knows are completely insane, including the person saying it, 512 00:27:24,359 --> 00:27:27,560 Speaker 2: because if you don't the lunatic police will come after you. 513 00:27:28,440 --> 00:27:32,199 Speaker 1: And it's not even that. On top of it, Buck, ESPN, 514 00:27:32,720 --> 00:27:37,080 Speaker 1: as part of their regular programming, said that Leah Thomas 515 00:27:37,320 --> 00:27:39,920 Speaker 1: was one of the women of the Year. So if 516 00:27:39,960 --> 00:27:43,480 Speaker 1: your kid is just sitting down eating breakfast watching sports highlights, 517 00:27:43,880 --> 00:27:47,160 Speaker 1: there was a one minute long advertisement talking about how 518 00:27:47,200 --> 00:27:51,280 Speaker 1: heroic Leah Thomas was a dude for being a top 519 00:27:51,320 --> 00:27:54,960 Speaker 1: women's athlete. They I mean, this is on a sports network, 520 00:27:55,359 --> 00:28:00,760 Speaker 1: which theoretically understands sports fans should the importance of you know, 521 00:28:00,880 --> 00:28:04,600 Speaker 1: age restrictions, weight restrictions. We need to do a parody. 522 00:28:04,600 --> 00:28:07,000 Speaker 2: We'd need to get like, we need to get like 523 00:28:07,119 --> 00:28:11,280 Speaker 2: a you know, a two and forty pound beard, a dude, 524 00:28:11,320 --> 00:28:14,680 Speaker 2: like a macho man Randy Savage who just claims that 525 00:28:15,000 --> 00:28:18,879 Speaker 2: he's actually, you know, eight years old, and then he 526 00:28:19,000 --> 00:28:21,280 Speaker 2: just goes onto the pee wee football league and it's 527 00:28:21,359 --> 00:28:24,000 Speaker 2: just like stiff arming little kids into the dirt. 528 00:28:24,119 --> 00:28:28,200 Speaker 1: Like yeah, I actually say, I am. If you are 529 00:28:28,240 --> 00:28:31,040 Speaker 1: listening to us right now and you wanted to create 530 00:28:31,119 --> 00:28:34,920 Speaker 1: an incredible documentary and you're a pretty good male athlete, 531 00:28:35,440 --> 00:28:38,640 Speaker 1: it would just be you're going to identify as a 532 00:28:38,760 --> 00:28:42,720 Speaker 1: woman in women's athletic competitions all over the country. You 533 00:28:42,760 --> 00:28:46,200 Speaker 1: could have a beard, you could be six ' four ripped. 534 00:28:46,800 --> 00:28:50,040 Speaker 1: Don't change anything other than maybe you decide to occasionally 535 00:28:50,080 --> 00:28:53,400 Speaker 1: wear a dress and just ridicule and mock this and 536 00:28:53,440 --> 00:28:58,600 Speaker 1: see how many women's championships you could actually win. I 537 00:28:58,600 --> 00:29:03,480 Speaker 1: think it would be an incredibly powerful both for comedy satire, 538 00:29:03,840 --> 00:29:08,040 Speaker 1: but also just an evisceration of the lies that you 539 00:29:08,080 --> 00:29:11,840 Speaker 1: are required to believe if you are a left wing 540 00:29:12,240 --> 00:29:13,440 Speaker 1: democrat acolyte. 541 00:29:13,520 --> 00:29:18,320 Speaker 2: Right now, so this reminds me. I think it's called 542 00:29:18,440 --> 00:29:24,680 Speaker 2: a a soacle hoax. And this is when to test 543 00:29:24,880 --> 00:29:30,520 Speaker 2: how crazy academia was. This academic Alan Sokele, a physics 544 00:29:30,560 --> 00:29:36,400 Speaker 2: professor at m YU, submitted a paper that was all 545 00:29:36,520 --> 00:29:42,840 Speaker 2: gibberish to a you know, highly accredited academic journal of physics. 546 00:29:43,200 --> 00:29:45,360 Speaker 2: It was just jargon and gibberish and it was called 547 00:29:45,400 --> 00:29:51,200 Speaker 2: Transgressing the Boundaries towards the Transformative Hermeneutics of Quantum Gravity Clay. 548 00:29:51,560 --> 00:29:53,920 Speaker 1: It means nothing. It was. 549 00:29:54,440 --> 00:29:58,960 Speaker 2: The whole thing was just jargon, and the point of 550 00:29:58,960 --> 00:30:00,360 Speaker 2: it was just to show that this is all about 551 00:30:00,360 --> 00:30:01,880 Speaker 2: conformity and virtue signaling. 552 00:30:01,920 --> 00:30:03,240 Speaker 1: And you know, they don't even read this stuff that 553 00:30:03,280 --> 00:30:04,760 Speaker 1: I'll know you kind of. 554 00:30:04,720 --> 00:30:06,479 Speaker 2: Need to do a socle a socle hoax so that 555 00:30:06,480 --> 00:30:08,200 Speaker 2: that's what you're really talking about, where a guy is 556 00:30:08,240 --> 00:30:10,520 Speaker 2: just like, I'm a woman and I'm just gonna go 557 00:30:10,560 --> 00:30:13,200 Speaker 2: in there and we're gonna I'm gonna you know, compete 558 00:30:13,320 --> 00:30:16,000 Speaker 2: in you know, the what do you think we're the 559 00:30:16,040 --> 00:30:16,520 Speaker 2: best event? 560 00:30:17,160 --> 00:30:17,960 Speaker 1: What would be the best? 561 00:30:18,320 --> 00:30:20,120 Speaker 2: I like, I like doing it in tennis because they're 562 00:30:20,120 --> 00:30:22,080 Speaker 2: not gonna hurt anybody, right, that's the thing, you know, 563 00:30:22,200 --> 00:30:23,360 Speaker 2: I don't want anyone to get an. 564 00:30:23,240 --> 00:30:27,840 Speaker 1: Injury tennis player just smoking chicks, like especially because you 565 00:30:27,840 --> 00:30:31,080 Speaker 1: could wear like a tennis skirt, which what I mean 566 00:30:31,280 --> 00:30:34,840 Speaker 1: you could dress to further. I think basketball, like, if 567 00:30:34,840 --> 00:30:38,840 Speaker 1: you added a legitimately good men's college basketball player and 568 00:30:38,920 --> 00:30:41,040 Speaker 1: he decided he was going to play in the w NBA, 569 00:30:41,720 --> 00:30:45,760 Speaker 1: he would almost immediately become the greatest WNB. There was 570 00:30:45,800 --> 00:30:51,640 Speaker 1: a Juwanna Man twenty years ago mocked and ridiculed the 571 00:30:51,720 --> 00:30:54,600 Speaker 1: concept of this. But we could have a real life 572 00:30:54,760 --> 00:30:59,160 Speaker 1: Juwanna Man, uh, and you could have a player who 573 00:30:59,320 --> 00:31:01,320 Speaker 1: was you know, I mean, if you're a college scholarship 574 00:31:01,360 --> 00:31:04,239 Speaker 1: male basketball player, you would be the greatest player it's 575 00:31:04,240 --> 00:31:06,560 Speaker 1: ever existed in the history of the WNBA. You could 576 00:31:06,600 --> 00:31:09,520 Speaker 1: be dunking on these chicks like crazy. You could be 577 00:31:09,640 --> 00:31:13,920 Speaker 1: trash talking. How would the WNBA respond if a guy 578 00:31:14,000 --> 00:31:15,640 Speaker 1: decides that he's identifying as I. 579 00:31:15,640 --> 00:31:17,680 Speaker 2: Mean, he'd he'd score every time he got the ball. 580 00:31:17,800 --> 00:31:18,960 Speaker 2: They wouldn't be stocking. 581 00:31:19,040 --> 00:31:21,200 Speaker 1: I think, remember, Buck, you get to play with a 582 00:31:21,240 --> 00:31:24,680 Speaker 1: smaller basketball, so you have a greater likelihood of making 583 00:31:24,720 --> 00:31:26,920 Speaker 1: a shot because the ball is smaller. Associated with the ram. 584 00:31:26,960 --> 00:31:30,000 Speaker 1: Nobody talks about this. You would the guy could hold 585 00:31:30,040 --> 00:31:33,800 Speaker 1: the basketball like it was a softball, right, I mean, 586 00:31:33,880 --> 00:31:37,200 Speaker 1: like his hand would be so gargantuan. He would get 587 00:31:37,280 --> 00:31:40,840 Speaker 1: fifty rebounds a game. He would get like twenty dunks 588 00:31:40,840 --> 00:31:44,240 Speaker 1: a game. Nobody could stop this, dude, I think I 589 00:31:44,240 --> 00:31:46,760 Speaker 1: think the WNBA, that's it has to be a WNBA. 590 00:31:46,880 --> 00:31:48,200 Speaker 1: That would be I think it would be the best 591 00:31:48,440 --> 00:31:49,560 Speaker 1: the place to ridicule it. 592 00:31:49,760 --> 00:31:53,280 Speaker 2: Yeah, inflation and prices arising, and now there's a banking 593 00:31:53,320 --> 00:31:56,080 Speaker 2: crisis to worry about. What the current stock market volatility? 594 00:31:56,200 --> 00:31:59,240 Speaker 2: How are your retirement accounts doing? 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Download the Phoenix Groups Free Investor Guide today 604 00:32:28,880 --> 00:32:33,560 Speaker 2: at phxoair dot com. Before making investment decisions, you should 605 00:32:33,560 --> 00:32:36,960 Speaker 2: carefully consider and review all risks involved. Learn how you 606 00:32:36,960 --> 00:32:40,880 Speaker 2: can diversify your investments and earn a to twelve percent APY. 607 00:32:41,280 --> 00:32:45,360 Speaker 2: Download the Phoenix Groups Free Investor Guide today at phx 608 00:32:45,480 --> 00:32:48,280 Speaker 2: on air dot com. 609 00:32:48,600 --> 00:32:52,400 Speaker 1: Get to know the guys outside the issues. Sunday Hang 610 00:32:52,560 --> 00:32:55,360 Speaker 1: with Clay and a new podcast. Find it on the 611 00:32:55,400 --> 00:32:58,120 Speaker 1: iHeart app or wherever you get your podcasts. 612 00:32:58,240 --> 00:33:01,240 Speaker 2: We're closing up shop here on Clay and Buck for 613 00:33:01,280 --> 00:33:03,440 Speaker 2: the day, but the podcast a great place for this 614 00:33:03,520 --> 00:33:07,200 Speaker 2: to continue on and you can subscribe the iHeart app, 615 00:33:07,240 --> 00:33:09,480 Speaker 2: which all of you should just have the iHeart app 616 00:33:09,520 --> 00:33:12,840 Speaker 2: downloaded to your phone, super handy. It's how I listened 617 00:33:12,840 --> 00:33:17,840 Speaker 2: to live shows all across the iHeart slew of shows 618 00:33:17,840 --> 00:33:20,160 Speaker 2: that are out there. Also, you listen to music your 619 00:33:20,160 --> 00:33:22,120 Speaker 2: favorite music stations, but you can listen to Clay and 620 00:33:22,160 --> 00:33:24,600 Speaker 2: Buck Show live streaming. By the way, anytime if you're 621 00:33:24,600 --> 00:33:27,000 Speaker 2: away from one of our wonderful stations, reach you can 622 00:33:27,040 --> 00:33:30,840 Speaker 2: listen streaming and also the podcast go up there, Clay. 623 00:33:30,840 --> 00:33:33,280 Speaker 2: Do you know Chris Williamson. I just recorded with him 624 00:33:33,360 --> 00:33:37,080 Speaker 2: last night. He does a podcast called Modern Wisdom Variant. 625 00:33:37,160 --> 00:33:40,840 Speaker 2: He sits down with Nobel laureates and best selling authors, 626 00:33:40,880 --> 00:33:42,680 Speaker 2: and I just wanted him to distill the wisdom that 627 00:33:42,720 --> 00:33:46,160 Speaker 2: he's gotten from five hundred episodes of his show onto 628 00:33:46,200 --> 00:33:49,800 Speaker 2: our podcast. So it was really interesting stuff, talk about 629 00:33:50,440 --> 00:33:52,840 Speaker 2: the decline in birth rates globally and here in the US, 630 00:33:52,840 --> 00:33:55,400 Speaker 2: mental health, cool stuff like that. We've got Tutor Dixon 631 00:33:55,480 --> 00:33:59,480 Speaker 2: dropping her podcast and the Clay and Buck podcast network, 632 00:33:59,560 --> 00:34:01,920 Speaker 2: so there's a lot of reasons to subscribe, folks. Even 633 00:34:01,920 --> 00:34:04,640 Speaker 2: if you're listening to the radio show, the podcast is 634 00:34:04,680 --> 00:34:07,560 Speaker 2: a place where there's more content and stuff like that 635 00:34:07,760 --> 00:34:11,600 Speaker 2: is great. You have a you have a Okay, I 636 00:34:11,600 --> 00:34:13,399 Speaker 2: can always look at Clay's face. I'm like, oh God, 637 00:34:13,400 --> 00:34:13,839 Speaker 2: here we go. 638 00:34:14,040 --> 00:34:15,600 Speaker 1: You have a couple things or just is it a 639 00:34:15,640 --> 00:34:18,600 Speaker 1: story saying first of all, I'll update people on the 640 00:34:18,640 --> 00:34:22,200 Speaker 1: poll to do this. Guard not the kind of guy 641 00:34:22,200 --> 00:34:24,279 Speaker 1: to brag or draw attention to myself. Is everyone out 642 00:34:24,320 --> 00:34:29,800 Speaker 1: there listening well knows? But Peter Pan dunking on Lady 643 00:34:29,840 --> 00:34:32,920 Speaker 1: in the Tramp like a man would dunk on the 644 00:34:32,960 --> 00:34:35,799 Speaker 1: women in the WNBA in the event he decided to 645 00:34:35,880 --> 00:34:39,600 Speaker 1: identify as a woman. Peter Pan fifty six percent of 646 00:34:39,640 --> 00:34:42,520 Speaker 1: the vote, Lady in the Tramp forty four percent of 647 00:34:42,560 --> 00:34:44,800 Speaker 1: the vote. Not close. 648 00:34:45,239 --> 00:34:47,680 Speaker 2: I mean, first of all, is your Twitter feed and 649 00:34:47,719 --> 00:34:50,120 Speaker 2: everybody knows who you were pulling for, so I demand 650 00:34:50,160 --> 00:34:52,600 Speaker 2: to recount. Second of all, I think that's actually that's 651 00:34:52,600 --> 00:34:53,560 Speaker 2: actually pretty. 652 00:34:53,239 --> 00:34:55,799 Speaker 1: Neck and neck in Twitter world. I'll put that out there. 653 00:34:55,840 --> 00:34:58,120 Speaker 2: But look, if some people just don't want to celebrate 654 00:34:58,120 --> 00:35:01,719 Speaker 2: the most romantic cartoons is of all time with the 655 00:35:01,760 --> 00:35:04,640 Speaker 2: spaghetti and the Back Alley and you know the great song, 656 00:35:04,719 --> 00:35:07,200 Speaker 2: you know same, I think Beauty in the Beast is 657 00:35:07,239 --> 00:35:11,880 Speaker 2: more romantic. Oh that's I saw this story and it 658 00:35:12,080 --> 00:35:12,719 Speaker 2: just it just. 659 00:35:12,640 --> 00:35:15,680 Speaker 1: Came out, and I'm I'm picturing the dad who is 660 00:35:15,719 --> 00:35:18,680 Speaker 1: somehow being blamed for this buck. So this is early 661 00:35:18,760 --> 00:35:23,759 Speaker 1: tutorial for you. Dad's always to blame. A toddler has 662 00:35:23,880 --> 00:35:28,440 Speaker 1: breached the White House grounds by slipping through the fence 663 00:35:29,080 --> 00:35:32,239 Speaker 1: outside of the White House. They had to shut down 664 00:35:32,280 --> 00:35:37,880 Speaker 1: the White House. Secret Service Sorry, Secret Service had to 665 00:35:37,960 --> 00:35:43,440 Speaker 1: respond the toddler the access to the complex shut down. 666 00:35:44,600 --> 00:35:49,440 Speaker 1: The Secret Service spokesperson stated, the officers encountered a curious 667 00:35:49,520 --> 00:35:53,080 Speaker 1: young visitor along the White House north fence line who 668 00:35:53,120 --> 00:35:56,880 Speaker 1: briefly entered the White House grounds. Secret Service had to 669 00:35:56,920 --> 00:36:01,920 Speaker 1: seize this kid. I just I can't stop thinking about 670 00:36:01,960 --> 00:36:05,279 Speaker 1: the dad who was inevitably being blamed for the kid 671 00:36:05,360 --> 00:36:08,480 Speaker 1: going through the fence, because Buck, you'll understand, it doesn't 672 00:36:08,480 --> 00:36:11,880 Speaker 1: matter if the kid goes through the fence. Dad should 673 00:36:11,920 --> 00:36:16,640 Speaker 1: have stopped it from happening. And I'm just picturing reaction 674 00:36:17,320 --> 00:36:20,280 Speaker 1: as he saw probably his two year old running across 675 00:36:20,320 --> 00:36:23,160 Speaker 1: the White House lawn and he was like, this family 676 00:36:23,280 --> 00:36:29,840 Speaker 1: vacation is over. Thankfully, the Secret Service managed to retain 677 00:36:29,880 --> 00:36:32,800 Speaker 1: this toddler and return him to his parents without an incident. 678 00:36:33,120 --> 00:36:35,960 Speaker 1: But I would love to hear from the parents as 679 00:36:35,960 --> 00:36:39,000 Speaker 1: they watched their little two year old sprinting across the 680 00:36:39,040 --> 00:36:42,080 Speaker 1: White House grounds. So that just happened. They had to 681 00:36:42,120 --> 00:36:46,120 Speaker 1: lock down the White House over this. This is something 682 00:36:46,160 --> 00:36:49,000 Speaker 1: for you to keep in mind, Buck, Dad is always wrong. 683 00:36:49,440 --> 00:36:50,239 Speaker 1: Just prepare for it.