1 00:00:00,760 --> 00:00:04,600 Speaker 1: Welcome back in Clay Travis buck Sexton Show. Appreciate all 2 00:00:04,640 --> 00:00:06,720 Speaker 1: of you hanging out with us. Buck, I got some 3 00:00:06,760 --> 00:00:10,160 Speaker 1: sad news start off our number three. It appears that 4 00:00:10,200 --> 00:00:13,440 Speaker 1: I'm going to have to divorce Laura Travis because when 5 00:00:13,440 --> 00:00:16,680 Speaker 1: I just went downstairs, she said, and I quote, I 6 00:00:16,720 --> 00:00:20,560 Speaker 1: think Buck's right as well as that caller Cobbler is 7 00:00:20,600 --> 00:00:25,720 Speaker 1: probably just a poor man's pie. And do you think 8 00:00:25,760 --> 00:00:31,280 Speaker 1: you know someone been married years? Amazing? And I go 9 00:00:31,360 --> 00:00:34,680 Speaker 1: downstairs just to try to get my NCAA tournament bracket. 10 00:00:34,720 --> 00:00:37,440 Speaker 1: I'm just sitting there filling it out, minding my own business. 11 00:00:38,240 --> 00:00:41,680 Speaker 1: Laura Travis walks in to the kitchen and says that 12 00:00:41,760 --> 00:00:46,240 Speaker 1: Cobbler's a poor man's pie. So again, it's gonna be sad. Divorce, 13 00:00:46,280 --> 00:00:48,440 Speaker 1: I'm told is awful, But sometimes you have to stand 14 00:00:48,520 --> 00:00:51,480 Speaker 1: up for things like pie. I tell you, the foundation 15 00:00:51,880 --> 00:00:55,200 Speaker 1: of a great relationship is speaking the truth when your 16 00:00:55,240 --> 00:00:57,760 Speaker 1: partner needs to hear it, even if it stings a 17 00:00:57,800 --> 00:01:01,160 Speaker 1: little sometimes. So Lara's just do you a favor on 18 00:01:01,200 --> 00:01:04,520 Speaker 1: this Cobbler issue. And I'm glad that everyone else out 19 00:01:04,520 --> 00:01:06,600 Speaker 1: there knows the truth, which is that Cobbler is just 20 00:01:06,640 --> 00:01:10,319 Speaker 1: poor man's pie. That's okay. So that's that doesn't mean 21 00:01:10,319 --> 00:01:12,560 Speaker 1: it doesn't taste good. I'm not saying it doesn't taste good. 22 00:01:12,600 --> 00:01:15,520 Speaker 1: It's just we got to have this is not nom 23 00:01:15,560 --> 00:01:17,480 Speaker 1: there are rules, you know. We've got to have a 24 00:01:17,560 --> 00:01:20,800 Speaker 1: ranking of things. I am going to continue to fight 25 00:01:20,880 --> 00:01:24,400 Speaker 1: for Cobbler to the end of my existence, and all 26 00:01:24,440 --> 00:01:28,200 Speaker 1: of the calumnies, all of the outrageous assaults in Shakespearean terms, 27 00:01:28,240 --> 00:01:31,440 Speaker 1: the slings and arrows of derision will not stand. And 28 00:01:31,600 --> 00:01:33,440 Speaker 1: I am going to continue to fight the good fight. 29 00:01:34,280 --> 00:01:36,800 Speaker 1: And I'm filling out my NCAA tournament bracket. By the way, 30 00:01:36,920 --> 00:01:40,280 Speaker 1: as we are simultaneously continuing it. Have you scoped out 31 00:01:40,319 --> 00:01:42,720 Speaker 1: my bracket at all? Like are you feeling? I didn't 32 00:01:42,720 --> 00:01:45,120 Speaker 1: want it to be fair. I didn't want to be influenced. 33 00:01:45,319 --> 00:01:48,760 Speaker 1: And see, oh, but choices buck made I can score 34 00:01:48,880 --> 00:01:53,440 Speaker 1: by going opposite directions. I am one hundred percent only 35 00:01:53,800 --> 00:01:56,760 Speaker 1: making choices based on looking at this. I just wanted 36 00:01:56,800 --> 00:01:59,320 Speaker 1: to know and get you on the record now if 37 00:01:59,320 --> 00:02:03,320 Speaker 1: you were while overconfident based upon my bracket. I wanted 38 00:02:03,400 --> 00:02:05,520 Speaker 1: us to get that out right now so that if 39 00:02:05,560 --> 00:02:08,720 Speaker 1: by some miracle I actually win this thing, we will 40 00:02:08,720 --> 00:02:10,800 Speaker 1: get we will get to make even more fun of 41 00:02:10,840 --> 00:02:12,840 Speaker 1: you at the end of this process. That's what I mean. 42 00:02:12,960 --> 00:02:16,160 Speaker 1: I think the great thing about the bracket as again, 43 00:02:16,240 --> 00:02:19,560 Speaker 1: the NC DOUBLEA Tournament tips off tomorrow, and I'm going 44 00:02:19,560 --> 00:02:22,200 Speaker 1: to apologize for myself in advance because I will probably 45 00:02:22,280 --> 00:02:24,160 Speaker 1: screw up a ton of things because I will be 46 00:02:24,320 --> 00:02:27,760 Speaker 1: doing this show and simultaneously watching college basketball on both 47 00:02:27,760 --> 00:02:30,720 Speaker 1: Thursday and Friday, so I will not so I will 48 00:02:30,800 --> 00:02:32,560 Speaker 1: keep I will keep us on the on the tracks, 49 00:02:32,560 --> 00:02:35,040 Speaker 1: don't worry. So if I'm totally blowing it even more 50 00:02:35,080 --> 00:02:37,519 Speaker 1: so than normal tomorrow, it's going to because I'm trying 51 00:02:37,560 --> 00:02:39,600 Speaker 1: to keep my eyes on this. The great thing about 52 00:02:39,600 --> 00:02:41,919 Speaker 1: the NC DOUBLEA Tournament is, and many of you out 53 00:02:41,919 --> 00:02:45,080 Speaker 1: there who are part of bracket challenges will be able 54 00:02:45,080 --> 00:02:48,600 Speaker 1: to attest to this is very often the people who 55 00:02:48,639 --> 00:02:52,840 Speaker 1: win these bracket challenges are not in any way actually 56 00:02:52,880 --> 00:02:56,280 Speaker 1: paying attention to college basketball at all on a regular basis, 57 00:02:56,560 --> 00:02:59,640 Speaker 1: which is what makes it in some ways even more 58 00:02:59,760 --> 00:03:05,520 Speaker 1: fun because there isn't necessarily a high correlation between college 59 00:03:05,560 --> 00:03:09,240 Speaker 1: basketball experts who are gonna post I mean, legitimately, all 60 00:03:09,280 --> 00:03:12,960 Speaker 1: they do is cover college basketball for ESPN or Fox 61 00:03:13,080 --> 00:03:15,560 Speaker 1: or CBS or NBC or whoever it is sports companies 62 00:03:15,600 --> 00:03:19,959 Speaker 1: out there, you can beat them without having spent hardly 63 00:03:19,960 --> 00:03:22,160 Speaker 1: any time at all on it. So I do think 64 00:03:22,200 --> 00:03:26,400 Speaker 1: that that is really pretty incredible. And one of the 65 00:03:26,400 --> 00:03:29,320 Speaker 1: fun things about the bracket challenge in general is Clay 66 00:03:29,360 --> 00:03:31,760 Speaker 1: hedging a little bit. Here is this a little hedging? 67 00:03:31,840 --> 00:03:34,480 Speaker 1: I notice on the frack? Have you picked the team 68 00:03:34,600 --> 00:03:35,680 Speaker 1: the team that you think is gone? 69 00:03:35,680 --> 00:03:35,840 Speaker 2: I know? 70 00:03:36,360 --> 00:03:38,600 Speaker 1: And your your your wife, who I hope has the 71 00:03:38,640 --> 00:03:41,160 Speaker 1: good enough sense to like Cobbler more than pie because 72 00:03:41,160 --> 00:03:44,280 Speaker 1: she was raised in the South. And have you asked Carrie? 73 00:03:44,320 --> 00:03:48,640 Speaker 1: We may have a real uh split opinion here in couples, Clay, 74 00:03:49,200 --> 00:03:52,360 Speaker 1: I think you know this very clearly or without even 75 00:03:52,400 --> 00:03:58,480 Speaker 1: asking my gator loving wife. Of course, I have to 76 00:03:58,520 --> 00:03:59,920 Speaker 1: go with Florida to win the whole thing because I 77 00:04:00,040 --> 00:04:02,640 Speaker 1: want to stay married. Oh well, picked Florida too, So 78 00:04:02,760 --> 00:04:05,160 Speaker 1: maybe I need to change for our bracket challenge because 79 00:04:05,320 --> 00:04:07,400 Speaker 1: the challenge on this is if we both picked the 80 00:04:07,440 --> 00:04:10,320 Speaker 1: same team. The way this works is it could come 81 00:04:10,360 --> 00:04:14,160 Speaker 1: down to like who wins a Sweet sixteen matchup before 82 00:04:14,240 --> 00:04:17,360 Speaker 1: all is said and done. So I do think that 83 00:04:17,600 --> 00:04:20,720 Speaker 1: we're talking about wives. We got to play this Alec 84 00:04:20,760 --> 00:04:25,120 Speaker 1: Baldwin clip so you shared with me last night. If 85 00:04:25,120 --> 00:04:27,400 Speaker 1: you guys have not seen this, so this is one 86 00:04:27,400 --> 00:04:31,039 Speaker 1: of the great untold stories. Producer, Ali, if she's in there, 87 00:04:31,040 --> 00:04:33,080 Speaker 1: can you pull up your mic. I want to get 88 00:04:33,120 --> 00:04:35,240 Speaker 1: your take because they live in New York City. So 89 00:04:35,320 --> 00:04:37,760 Speaker 1: Alec Baldwin, I don't know. This is like wife number 90 00:04:37,800 --> 00:04:40,800 Speaker 1: three or four for him and they have I think 91 00:04:40,800 --> 00:04:43,960 Speaker 1: it's like seven kids and they have a reality television show. 92 00:04:44,360 --> 00:04:48,920 Speaker 1: So he married this girl. Hillary Hillary grew up I 93 00:04:48,960 --> 00:04:54,839 Speaker 1: believe in like New Jersey, right, Massachusetts, Massachusetts? Okay, Hillary 94 00:04:54,960 --> 00:04:59,360 Speaker 1: grew up. Hillary grew up in Massachusetts. She has just 95 00:04:59,440 --> 00:05:03,160 Speaker 1: decided that she is actually going to be called Hilaria 96 00:05:03,960 --> 00:05:06,880 Speaker 1: and that she is Spanish, and she has just started 97 00:05:06,880 --> 00:05:10,000 Speaker 1: speaking with a Spanish accent. This happens all the time, 98 00:05:10,360 --> 00:05:12,800 Speaker 1: and it says if no one is going to point out, 99 00:05:13,320 --> 00:05:18,640 Speaker 1: I mean, this is like houly crazy chick. Ali, am 100 00:05:18,680 --> 00:05:21,800 Speaker 1: I wrong on this? That she is? She has grown up? 101 00:05:21,839 --> 00:05:24,680 Speaker 1: You're from Massachusetts. To my knowledge, you have never come 102 00:05:24,720 --> 00:05:27,840 Speaker 1: on this show and started talking like you're Spanish, and 103 00:05:27,880 --> 00:05:31,560 Speaker 1: you haven't changed your name to a Spanish variation of Alice. 104 00:05:32,120 --> 00:05:34,600 Speaker 1: What is going on? Here, Am I crazy? Or is 105 00:05:34,640 --> 00:05:37,760 Speaker 1: this chick crazy even by crazy chick standards? 106 00:05:37,800 --> 00:05:39,240 Speaker 3: Well, first of all, it's not a new thing. This 107 00:05:39,320 --> 00:05:41,880 Speaker 3: has been She's been doing this for a while, so 108 00:05:41,960 --> 00:05:45,839 Speaker 3: it's not new. And I think she met someone, she 109 00:05:45,920 --> 00:05:48,800 Speaker 3: married someone, and just wanted to create an identity for 110 00:05:48,839 --> 00:05:50,400 Speaker 3: herself and that's what this was. 111 00:05:50,960 --> 00:05:54,960 Speaker 1: But you can't pretend that you are European, like out 112 00:05:54,960 --> 00:05:57,880 Speaker 1: of nowhere and start changing your name and speaking with 113 00:05:57,960 --> 00:06:00,320 Speaker 1: an accent when you grew up in Massa. Like if 114 00:06:00,360 --> 00:06:03,360 Speaker 1: I think all the differences, she got called on it. Okay, 115 00:06:03,480 --> 00:06:06,760 Speaker 1: But because she's a public figure, if tomorrow I came 116 00:06:06,800 --> 00:06:09,599 Speaker 1: on the show and I just started talking with a 117 00:06:09,680 --> 00:06:13,360 Speaker 1: Cuban accent and I suddenly claimed that I had some 118 00:06:13,400 --> 00:06:16,360 Speaker 1: sort of Cuban ancestry and that was why I had 119 00:06:16,400 --> 00:06:19,360 Speaker 1: to be called, you know, Ricardo now instead of Richard 120 00:06:19,400 --> 00:06:23,040 Speaker 1: Clay Travis, and you would, reg all of you out 121 00:06:23,040 --> 00:06:25,840 Speaker 1: there listening, would be like, yeah, this is super weird. 122 00:06:26,000 --> 00:06:27,680 Speaker 1: I think Clay may have gone. 123 00:06:27,480 --> 00:06:31,360 Speaker 3: Crazy changed her accent when she moved to Europe. 124 00:06:31,880 --> 00:06:35,159 Speaker 1: Yeah, but yeah, that's weird. I agree, But this is 125 00:06:35,279 --> 00:06:40,320 Speaker 1: just a normal girl from Massachusetts. Mary's Alec Baldwin here's 126 00:06:40,360 --> 00:06:42,880 Speaker 1: the question. You guys, I bet have seen and heard 127 00:06:42,920 --> 00:06:46,320 Speaker 1: this clip. They're doing some sort of red carpet walk 128 00:06:46,720 --> 00:06:49,280 Speaker 1: and you need to watch it. But this is what 129 00:06:49,360 --> 00:06:51,800 Speaker 1: it sounded like. And I can't believe it, but I 130 00:06:51,839 --> 00:06:57,160 Speaker 1: actually felt sorry for Alec Baldwin. And and I actually 131 00:06:57,279 --> 00:07:00,520 Speaker 1: wonder whether Alec Baldwin, as he stares in the camera, 132 00:07:00,640 --> 00:07:03,840 Speaker 1: you can like see his soul escaping. Every man who 133 00:07:03,920 --> 00:07:06,960 Speaker 1: has been married to an awful woman has had this experience. 134 00:07:07,000 --> 00:07:09,200 Speaker 1: I would imagine at some point in time. I wouldn't know, 135 00:07:09,480 --> 00:07:11,480 Speaker 1: because I'm married to a great woman, with the exception 136 00:07:11,560 --> 00:07:13,840 Speaker 1: of her being one hundred percent wrong about Cobbler. But 137 00:07:14,560 --> 00:07:18,240 Speaker 1: listen to this clip of Alec Baldwin and Hilario Baldwin 138 00:07:18,360 --> 00:07:24,440 Speaker 1: from Spain slash Massachusetts. No, no, I think we're gonna 139 00:07:24,440 --> 00:07:26,679 Speaker 1: see you know. It's we're gonna see how it feels 140 00:07:26,680 --> 00:07:28,640 Speaker 1: to have it be out there. This is great, you're 141 00:07:28,680 --> 00:07:31,240 Speaker 1: a winner. Oh my god, when I'm talking, you're not talking. No, 142 00:07:31,320 --> 00:07:33,880 Speaker 1: when I'm talking, you're not talking. This is why, Yes, 143 00:07:33,880 --> 00:07:35,360 Speaker 1: we'll have to like to just cut him out of 144 00:07:35,360 --> 00:07:39,240 Speaker 1: the show. It keeps going, and you need to see 145 00:07:39,280 --> 00:07:42,240 Speaker 1: Alec Baldwin's face Buck, I don't know how many red 146 00:07:42,280 --> 00:07:45,280 Speaker 1: carpets you've walked. I've walked a few. First of all, 147 00:07:45,320 --> 00:07:47,560 Speaker 1: I can't even imagine what the reaction would be if 148 00:07:47,600 --> 00:07:50,320 Speaker 1: Alec Baldwin cut his wife off like that and said, 149 00:07:50,320 --> 00:07:52,160 Speaker 1: you just need to pretend she's not here. I mean, 150 00:07:52,200 --> 00:07:55,120 Speaker 1: he would be totally canceled over this. But for the 151 00:07:55,200 --> 00:07:57,720 Speaker 1: men out there, I didn't think it was possible. I 152 00:07:57,760 --> 00:08:00,840 Speaker 1: watched this, Buck, and I actually felt sorry for Alec Baldwin. 153 00:08:00,880 --> 00:08:02,920 Speaker 1: You can hear a little bit of that weird accent 154 00:08:03,000 --> 00:08:05,360 Speaker 1: that she's trying, and again she says that her name 155 00:08:05,400 --> 00:08:09,040 Speaker 1: is now Hilario even though she's Hillary from Boston. This 156 00:08:09,160 --> 00:08:13,160 Speaker 1: is weird, Like, what is going on here? I don't know, man, 157 00:08:13,160 --> 00:08:15,240 Speaker 1: how do we even get on this? Because we were 158 00:08:15,240 --> 00:08:16,840 Speaker 1: talking about my wife and the fact that I'm gonna 159 00:08:16,840 --> 00:08:18,680 Speaker 1: have to get divorrowed because she said that pie is 160 00:08:18,720 --> 00:08:21,360 Speaker 1: a poor man's uh, that that cobbler is a poor 161 00:08:21,400 --> 00:08:25,400 Speaker 1: man's pie. I will say this you having. I do 162 00:08:25,480 --> 00:08:27,280 Speaker 1: think I could, And maybe I'm wrong about this, but 163 00:08:27,320 --> 00:08:29,240 Speaker 1: I was single for a long time in New York City, 164 00:08:29,280 --> 00:08:31,800 Speaker 1: which is like the jungle of single life. Like it is, 165 00:08:31,960 --> 00:08:33,960 Speaker 1: it is a rough place I think I could do 166 00:08:34,000 --> 00:08:37,760 Speaker 1: a whole show, a whole podcast on like relationships and 167 00:08:37,760 --> 00:08:40,240 Speaker 1: red flags from a guy's from a guy's perspective, like 168 00:08:40,280 --> 00:08:42,319 Speaker 1: I've been I've been through it all, man, Like I've 169 00:08:42,360 --> 00:08:46,400 Speaker 1: seen I've seen stuff I haven't you know. Anyway, Uh, well, 170 00:08:46,440 --> 00:08:49,120 Speaker 1: this ties in with the college educated women thing that 171 00:08:49,200 --> 00:08:51,760 Speaker 1: I was going to talk about of college educated women 172 00:08:52,160 --> 00:08:54,640 Speaker 1: smooth transition you're making there. Well, I was gonna say, 173 00:08:54,920 --> 00:08:56,880 Speaker 1: can I just put this little bit of advice out there? 174 00:08:57,640 --> 00:09:02,839 Speaker 1: If somebody in public is not always on your team 175 00:09:03,040 --> 00:09:06,160 Speaker 1: and your advocate, you have a huge problem. Yeah, there 176 00:09:06,200 --> 00:09:09,080 Speaker 1: is never any There is never an excuse, whether it 177 00:09:09,200 --> 00:09:14,120 Speaker 1: is a spouse, a friend, a colleague, if somebody in 178 00:09:14,200 --> 00:09:17,840 Speaker 1: public undermines you and you feel that at all, and 179 00:09:17,880 --> 00:09:20,719 Speaker 1: particularly in a romantic relationship, But if you're ever with it, 180 00:09:20,800 --> 00:09:23,000 Speaker 1: if you're a guy and you're the gal and she 181 00:09:23,160 --> 00:09:24,679 Speaker 1: kind of takes shots at you in front of her 182 00:09:24,720 --> 00:09:28,679 Speaker 1: female friends, anything like that, you gotta just you gotta 183 00:09:28,720 --> 00:09:31,760 Speaker 1: put the You gotta honestly, you gotta run, you gotta 184 00:09:31,760 --> 00:09:33,960 Speaker 1: get away from it. It's done. It's not gonna work, 185 00:09:34,120 --> 00:09:37,280 Speaker 1: because that goes to a very deep seated lack of 186 00:09:37,360 --> 00:09:40,640 Speaker 1: respect and lack of accountability. Well, it also ties in, 187 00:09:40,679 --> 00:09:43,560 Speaker 1: honestly with what the Kennedy family did to RFK Junior, 188 00:09:43,600 --> 00:09:46,400 Speaker 1: which we talked about. It's one thing that's growing your 189 00:09:46,400 --> 00:09:48,320 Speaker 1: family under the bus, which is just that just means 190 00:09:48,360 --> 00:09:52,360 Speaker 1: you have no honor and no character. That's straightforward, speaking 191 00:09:52,400 --> 00:09:54,160 Speaker 1: of no honor and no character. A lot of college 192 00:09:54,240 --> 00:09:57,560 Speaker 1: educated women are actually in that camp. And I was 193 00:09:57,600 --> 00:10:02,839 Speaker 1: looking at this Steve Kornaki, No, yes, Steve Cornashy, the 194 00:10:03,120 --> 00:10:05,880 Speaker 1: guy at one of the data gurus that is at NBC. 195 00:10:06,000 --> 00:10:10,199 Speaker 1: I always get these guys made MSNBC, MSNBNBAC. He's actually 196 00:10:10,559 --> 00:10:12,880 Speaker 1: one of the smarter and more reasonable people over there 197 00:10:13,160 --> 00:10:15,160 Speaker 1: well because he just has to look at data and 198 00:10:15,240 --> 00:10:18,400 Speaker 1: analyze it as opposed to just saying irrational things. And 199 00:10:18,440 --> 00:10:20,840 Speaker 1: he said, there's some numbers here, and we shared this 200 00:10:20,920 --> 00:10:23,600 Speaker 1: on social media. But I think we should dive into 201 00:10:23,640 --> 00:10:27,200 Speaker 1: this because it actually goes a long way towards explaining 202 00:10:27,240 --> 00:10:30,080 Speaker 1: the world that we're in right now. So I'll give you, 203 00:10:30,120 --> 00:10:33,600 Speaker 1: for instance, Donald Trump. What is a voter's opinion of 204 00:10:33,679 --> 00:10:38,760 Speaker 1: Donald Trump? White men with no degree have a plus 205 00:10:38,880 --> 00:10:42,120 Speaker 1: forty one opinion of Donald Trump. That is, white men 206 00:10:42,160 --> 00:10:46,760 Speaker 1: without college degrees love Donald Trump. White men who went 207 00:10:46,800 --> 00:10:50,560 Speaker 1: to college plus one Donald Trump. You know, okay, so 208 00:10:50,880 --> 00:10:53,440 Speaker 1: white men who went to college very even basically like 209 00:10:53,520 --> 00:10:57,280 Speaker 1: kind of reflective of the nation. White women with no 210 00:10:57,520 --> 00:11:03,920 Speaker 1: college degree have a plus fourteen positivity of Donald Trump. 211 00:11:04,200 --> 00:11:07,840 Speaker 1: Listen to this. White women who went to college or 212 00:11:07,880 --> 00:11:14,239 Speaker 1: got graduate degrees, so college plus minus thirty eight opinion 213 00:11:14,760 --> 00:11:17,600 Speaker 1: of Donald Trump. And I'm writing a new book on this, 214 00:11:17,760 --> 00:11:21,480 Speaker 1: like kind of gender related issues, buck one thing that 215 00:11:21,640 --> 00:11:23,640 Speaker 1: I think is starting to happen, And I want to 216 00:11:23,679 --> 00:11:25,440 Speaker 1: take some calls on this. I want to hear from 217 00:11:25,480 --> 00:11:28,839 Speaker 1: women only women, because you know, you and I are 218 00:11:28,960 --> 00:11:31,040 Speaker 1: morons on a lot of things related to women. So 219 00:11:31,120 --> 00:11:34,280 Speaker 1: I only want women to react to this. I think 220 00:11:34,320 --> 00:11:37,440 Speaker 1: a lot of women who went to college, they're getting 221 00:11:37,559 --> 00:11:41,160 Speaker 1: sixty percent of all degrees. Now, there are way more 222 00:11:41,200 --> 00:11:45,120 Speaker 1: college educated women than there are college educated men. I 223 00:11:45,160 --> 00:11:49,440 Speaker 1: think that they have been uniquely susceptible to capture in 224 00:11:49,480 --> 00:11:53,160 Speaker 1: a social media era such that they are way more 225 00:11:53,320 --> 00:11:57,560 Speaker 1: likely to be responding emotionally because women who went to 226 00:11:57,600 --> 00:12:01,480 Speaker 1: college are not even similar in in any way to 227 00:12:02,240 --> 00:12:05,920 Speaker 1: ever white women. These are just white women to white men, 228 00:12:06,440 --> 00:12:08,920 Speaker 1: both who went to college and didn't and to white 229 00:12:08,920 --> 00:12:11,880 Speaker 1: women who didn't go to college. But this is I 230 00:12:11,880 --> 00:12:14,640 Speaker 1: think one of the big fault lines in America today. 231 00:12:15,080 --> 00:12:19,480 Speaker 1: The Democrat Party by and large is almost exclusively the 232 00:12:19,559 --> 00:12:23,480 Speaker 1: party of college educated white women, and college educated white 233 00:12:23,480 --> 00:12:27,319 Speaker 1: women are not behaving like almost any other white person 234 00:12:27,640 --> 00:12:30,439 Speaker 1: on the planet. What's going on here? Why are they 235 00:12:30,440 --> 00:12:35,719 Speaker 1: the outliers? I think they have been largely misled and 236 00:12:36,920 --> 00:12:40,640 Speaker 1: set up for poor choices by the culture that we 237 00:12:40,720 --> 00:12:44,520 Speaker 1: currently have. I think that college educated white women in particular, 238 00:12:44,720 --> 00:12:49,400 Speaker 1: tend to think that everything should be delayed the for career. 239 00:12:49,960 --> 00:12:52,840 Speaker 1: And for some women that is absolutely a great move. 240 00:12:53,280 --> 00:12:55,880 Speaker 1: For a lot of women, they will end up regretting 241 00:12:56,280 --> 00:12:58,679 Speaker 1: getting a not just a college degree. But remember you 242 00:12:58,760 --> 00:13:01,640 Speaker 1: got to add into their women who get advanced, you know, 243 00:13:01,760 --> 00:13:04,360 Speaker 1: master's degree, PhD. I mean, some women end up being 244 00:13:04,440 --> 00:13:07,120 Speaker 1: in school until they're thirty two, thirty three years old, 245 00:13:07,640 --> 00:13:09,880 Speaker 1: and then they turn around and they say, Okay, well 246 00:13:10,120 --> 00:13:12,520 Speaker 1: now I want to date and find my husband and 247 00:13:12,520 --> 00:13:17,120 Speaker 1: build a family. Biology is incredibly important and it matters, 248 00:13:17,160 --> 00:13:20,520 Speaker 1: and it affects life choices in ways. And again, people 249 00:13:20,520 --> 00:13:23,000 Speaker 1: can I'm not saying anyone, you know, you can choose 250 00:13:23,000 --> 00:13:25,560 Speaker 1: your own thing. This is America. That's a free country. Absolutely, 251 00:13:26,040 --> 00:13:28,840 Speaker 1: but women have been told, oh, you can do exactly 252 00:13:28,880 --> 00:13:32,280 Speaker 1: the same path as your male counterparts and there's no difference. 253 00:13:32,640 --> 00:13:34,960 Speaker 1: And anyone who tells you otherwise is bad or you 254 00:13:35,000 --> 00:13:37,920 Speaker 1: know a sex sister, that's a lie. Yeah, And that's 255 00:13:37,960 --> 00:13:39,839 Speaker 1: where a lot of this comes from. A lot of 256 00:13:39,880 --> 00:13:42,160 Speaker 1: women who get married, you know, who don't go to 257 00:13:42,240 --> 00:13:45,280 Speaker 1: college then to get married younger, start families younger, and 258 00:13:45,640 --> 00:13:49,760 Speaker 1: have a different life perspective. Again, we're speaking in vast generalizations. 259 00:13:50,160 --> 00:13:52,240 Speaker 1: Please do not call me and say I have a 260 00:13:52,240 --> 00:13:55,079 Speaker 1: PhD and five children and a happy I know, okay, 261 00:13:55,120 --> 00:13:57,600 Speaker 1: but we're talking about the you know, you and I. 262 00:13:57,640 --> 00:13:59,679 Speaker 1: That is the one frustration we have is to hear 263 00:13:59,679 --> 00:14:02,200 Speaker 1: from outliers of the audience when we're talking in the 264 00:14:02,240 --> 00:14:06,000 Speaker 1: most broad in general terms. You know, you know, somebody's egg. 265 00:14:06,280 --> 00:14:09,360 Speaker 1: I'm a I'm a former Navy seal and Delta Force member, 266 00:14:09,400 --> 00:14:12,840 Speaker 1: and I love Broadway shows. Okay, but like you're kind 267 00:14:12,840 --> 00:14:16,440 Speaker 1: of an outlier, you know, Like that's love. It is 268 00:14:16,480 --> 00:14:18,520 Speaker 1: the number one thing that people love to say. I 269 00:14:18,760 --> 00:14:21,280 Speaker 1: was joking about it yesterday. But anytime I come on 270 00:14:21,400 --> 00:14:23,640 Speaker 1: and I say anything, which is true for the nation. Right, 271 00:14:23,960 --> 00:14:26,080 Speaker 1: average price of a gallon of gas two eighty five. 272 00:14:26,480 --> 00:14:29,400 Speaker 1: People feel compelled to tell me, hey, well, yesterday in Boston, 273 00:14:29,440 --> 00:14:31,760 Speaker 1: I just paid four to ten. Okay, well it's a 274 00:14:31,880 --> 00:14:34,880 Speaker 1: national number, so it may be more expensive in your neighborhood. 275 00:14:34,880 --> 00:14:36,880 Speaker 1: Same thing with eggs. I love it. They deluge me. 276 00:14:37,120 --> 00:14:39,680 Speaker 1: I want to get calls though, women only. What is 277 00:14:39,760 --> 00:14:43,280 Speaker 1: going on with college educated women? Why white women in particular? 278 00:14:43,520 --> 00:14:47,960 Speaker 1: Are they completely off the reservation compared to again, college 279 00:14:48,080 --> 00:14:52,040 Speaker 1: educated men, non college educated men and women? What is 280 00:14:52,080 --> 00:14:53,000 Speaker 1: the story here? 281 00:14:53,440 --> 00:14:54,160 Speaker 3: And uh? 282 00:14:54,360 --> 00:14:56,160 Speaker 1: What is going on? All right? So we will break 283 00:14:56,200 --> 00:14:58,640 Speaker 1: all this down. We are going to dive into it. 284 00:14:58,720 --> 00:15:00,640 Speaker 1: I got to pick for you, bucker this down. This 285 00:15:00,720 --> 00:15:03,080 Speaker 1: is a winner. I feel really good about this one. 286 00:15:03,400 --> 00:15:07,320 Speaker 1: In c DOUBLEA tournament action. This is tomorrow's games. I believe. 287 00:15:07,320 --> 00:15:09,120 Speaker 1: I'm not sure what Dave Florida plays, so I could 288 00:15:09,160 --> 00:15:12,600 Speaker 1: be wrong on that. Here's the pick. You get an 289 00:15:12,680 --> 00:15:16,200 Speaker 1: automatic win for Johnny Broom. He is the star of 290 00:15:16,320 --> 00:15:19,480 Speaker 1: Auburn men's basketball. He is one of the two best 291 00:15:19,520 --> 00:15:22,160 Speaker 1: players in college basketball. If he scores a point, you 292 00:15:22,200 --> 00:15:24,080 Speaker 1: get a check mark. All right, here are the two 293 00:15:24,160 --> 00:15:26,760 Speaker 1: that's free from pop prize picks right now. If you 294 00:15:26,760 --> 00:15:29,240 Speaker 1: go to prizepicks dot com, use code Clay. This is 295 00:15:29,280 --> 00:15:33,480 Speaker 1: an nc DOUBLEA tournament pick Walter Clayton Junior. I love 296 00:15:33,560 --> 00:15:39,800 Speaker 1: this guy's game. Florida Gator guard stud playmaker. He is 297 00:15:39,880 --> 00:15:42,880 Speaker 1: going to make in the first round more than two 298 00:15:42,960 --> 00:15:45,600 Speaker 1: and a half threes, more than two and a half 299 00:15:45,640 --> 00:15:49,520 Speaker 1: three point baskets. And then for Tennessee, I know Tennessee 300 00:15:49,560 --> 00:15:53,800 Speaker 1: plays tomorrow night. Jordan Gainey more than one and a 301 00:15:53,840 --> 00:15:56,800 Speaker 1: half three pointers. He's starting to play really, really well. 302 00:15:56,880 --> 00:16:00,680 Speaker 1: I watched by the way Walter Clayton and Jordan Ganey play. 303 00:16:00,760 --> 00:16:02,760 Speaker 1: I was with my ten year old went to the 304 00:16:02,800 --> 00:16:07,000 Speaker 1: game on Sunday here in Nashville. This is a Florida Gator, 305 00:16:07,360 --> 00:16:12,080 Speaker 1: Auburn Tiger, University of Tennessee three way winner. If I'm 306 00:16:12,200 --> 00:16:14,760 Speaker 1: right on this, it pays out at a little bit 307 00:16:14,800 --> 00:16:18,480 Speaker 1: over four to one at price picks. Okay, Jordan Gainey 308 00:16:18,920 --> 00:16:21,760 Speaker 1: more than one and a half three pointers, Walter Clayton 309 00:16:21,840 --> 00:16:25,280 Speaker 1: Junior more than two and a half threes. Johnny Broome 310 00:16:25,400 --> 00:16:31,320 Speaker 1: to score one point sec. Special Opening Round NCAA Tournaments 311 00:16:31,720 --> 00:16:35,560 Speaker 1: prizepicks dot com. You can play in forty states California, Texas, Georgia. 312 00:16:35,880 --> 00:16:39,680 Speaker 1: Prizpicks dot com Code Clay, you get fifty bucks for 313 00:16:39,800 --> 00:16:42,440 Speaker 1: playing five dollars and this one, I'm telling you is 314 00:16:42,480 --> 00:16:45,360 Speaker 1: gonna pay at four to one. That's pricepicks dot com 315 00:16:45,400 --> 00:16:46,280 Speaker 1: Code Clay. 316 00:16:47,040 --> 00:16:50,600 Speaker 2: You know him as conservative radio hosts. Now just get 317 00:16:50,600 --> 00:16:54,480 Speaker 2: to know them as guys on this Sunday Hang podcast 318 00:16:54,560 --> 00:16:57,520 Speaker 2: with Clay and Fuck. Find it in their podcast feed 319 00:16:57,560 --> 00:16:59,720 Speaker 2: on the iHeartRadio app or wherever you. 320 00:16:59,760 --> 00:17:03,720 Speaker 1: Get your podcasts. Welcome back into Clay and Buck. Sure enough, Clay, 321 00:17:03,800 --> 00:17:08,639 Speaker 1: sure enough. I said, please don't tell enough. I'm just kidding. 322 00:17:08,640 --> 00:17:10,560 Speaker 1: This doesn't really fall into the category. But we get 323 00:17:10,560 --> 00:17:12,919 Speaker 1: people who are like, well, you're speaking in generalizations, and 324 00:17:13,119 --> 00:17:16,600 Speaker 1: I'm a break in that generalization. Vip Linda writes, I'm 325 00:17:16,600 --> 00:17:19,560 Speaker 1: a college educated white woman with a master's degree. I 326 00:17:19,560 --> 00:17:22,000 Speaker 1: think it is more about being brainwashed with my body, 327 00:17:22,040 --> 00:17:24,760 Speaker 1: my choice, and abortion. I actually think Linda is correct 328 00:17:24,760 --> 00:17:29,680 Speaker 1: here that that's a big that the the abortion and 329 00:17:29,880 --> 00:17:33,520 Speaker 1: women's rights quote unquote component of this. You get you 330 00:17:33,640 --> 00:17:36,520 Speaker 1: get inundated with that stuff in four years of college. 331 00:17:36,600 --> 00:17:38,960 Speaker 1: I mean it is, Clay, I have talked about this. 332 00:17:39,240 --> 00:17:41,479 Speaker 1: I had to give people I was an ra I know, 333 00:17:41,560 --> 00:17:44,920 Speaker 1: make fun of me. I had to give people dental damns. 334 00:17:45,560 --> 00:17:48,639 Speaker 1: I did not know what that was, and I was 335 00:17:48,640 --> 00:17:50,719 Speaker 1: from New York City, like I was pretty you know, 336 00:17:50,960 --> 00:17:56,040 Speaker 1: advanced in my socialization. We gotta unpack this. This has 337 00:17:56,240 --> 00:17:59,480 Speaker 1: been buck Sexton dental damn distributor is not what I 338 00:17:59,520 --> 00:18:04,320 Speaker 1: expected segment to go into. Pure Talk cellular service is 339 00:18:04,359 --> 00:18:07,119 Speaker 1: something that both of our families rely on. Clay's and mine. 340 00:18:07,640 --> 00:18:09,800 Speaker 1: I have pure Talk as my main phone. Switch to 341 00:18:09,840 --> 00:18:12,240 Speaker 1: pure Talk and save all kinds of money this year 342 00:18:12,240 --> 00:18:15,480 Speaker 1: while not sacrificing any cell phone quality. 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You keep your phone in 351 00:18:39,680 --> 00:18:43,040 Speaker 1: your number dial pound two five zero and say our 352 00:18:43,119 --> 00:18:45,680 Speaker 1: names as your keywords, Clay and Buck. So from your 353 00:18:45,720 --> 00:18:48,920 Speaker 1: current phone dial pound two five zero. Say Clay and 354 00:18:49,040 --> 00:18:51,760 Speaker 1: Buck and you'll save it additional fifty percent off your 355 00:18:51,760 --> 00:18:54,880 Speaker 1: first month. Dial that pound talk pound two five zero 356 00:18:54,920 --> 00:18:58,520 Speaker 1: from your phone. Say Clay and Buck for puretalk. Welcome 357 00:18:58,520 --> 00:19:02,320 Speaker 1: back in and play Travis Sexton Show sharing this data 358 00:19:02,359 --> 00:19:04,640 Speaker 1: from Steve Kornaki, and I was just laying it out. 359 00:19:05,000 --> 00:19:09,359 Speaker 1: College educated white women they hate Trump. They're the only 360 00:19:09,480 --> 00:19:12,199 Speaker 1: group of white voters that hates Trump. In fact, he 361 00:19:12,280 --> 00:19:16,520 Speaker 1: has a positive review of everybody else. And the difference 362 00:19:16,520 --> 00:19:20,160 Speaker 1: between white men with no college degree and white women 363 00:19:20,280 --> 00:19:25,960 Speaker 1: with college degrees has probably never been more expansive, huge difference. 364 00:19:26,000 --> 00:19:29,760 Speaker 1: White women with college degrees hate Elon, they hate Doge, 365 00:19:31,320 --> 00:19:37,080 Speaker 1: they hate the Republican Party, they love Zolensky, and they 366 00:19:37,160 --> 00:19:43,680 Speaker 1: also Buck love DEI. So, basically, white women with college 367 00:19:43,680 --> 00:19:46,480 Speaker 1: degrees as a group, I know there are many white 368 00:19:46,480 --> 00:19:49,320 Speaker 1: women with college degrees that are listening to us right now, 369 00:19:49,760 --> 00:19:54,080 Speaker 1: are divergent from every other white person in America in 370 00:19:54,119 --> 00:19:57,520 Speaker 1: a massive way. White men with college degrees are not 371 00:19:57,680 --> 00:20:00,840 Speaker 1: similar to white women with college degrees, and certainly white 372 00:20:01,280 --> 00:20:05,760 Speaker 1: women and men without college degrees are not similar at 373 00:20:05,760 --> 00:20:08,719 Speaker 1: all either. A bunch of people want to weigh in, 374 00:20:10,000 --> 00:20:14,679 Speaker 1: and let's start with Lois in Raleigh, North Carolina. What 375 00:20:14,720 --> 00:20:17,080 Speaker 1: do you think is to explain this? 376 00:20:18,480 --> 00:20:21,680 Speaker 4: Hey, guys, thanks for taking my call. I am a 377 00:20:22,000 --> 00:20:25,560 Speaker 4: college educated woman with a master's degree in education administration. 378 00:20:26,240 --> 00:20:28,800 Speaker 4: I worked until thirty nine, got married, and had my son. 379 00:20:29,440 --> 00:20:33,000 Speaker 4: I love Trump, and I think maybe some of these women, 380 00:20:33,040 --> 00:20:36,440 Speaker 4: because I know some are very angry. Maybe they're even 381 00:20:36,520 --> 00:20:39,879 Speaker 4: kind of intimidating, and so they kind of put people 382 00:20:39,920 --> 00:20:42,399 Speaker 4: off a little. I don't know, but that's been my experience. 383 00:20:42,520 --> 00:20:44,919 Speaker 4: So but I love Trump and I'm a college educated 384 00:20:44,960 --> 00:20:45,800 Speaker 4: woman and white. 385 00:20:45,880 --> 00:20:47,240 Speaker 1: Right, Well, we know, we know there are a lot 386 00:20:47,240 --> 00:20:48,520 Speaker 1: of we know there are a lot of you out there. 387 00:20:48,600 --> 00:20:51,520 Speaker 1: I'm curious. I mean when you say, did you have peers, 388 00:20:52,000 --> 00:20:54,080 Speaker 1: you know, women who are in your program, let's say 389 00:20:54,080 --> 00:20:56,959 Speaker 1: your master's program, Like, what what has their experience been? 390 00:20:56,960 --> 00:20:58,800 Speaker 1: Because you said, I think you got married at thirty nine, 391 00:20:58,840 --> 00:21:01,160 Speaker 1: you had a kid, you know, it all worked out 392 00:21:01,200 --> 00:21:03,040 Speaker 1: for you, right, But do you have a lot of 393 00:21:03,440 --> 00:21:07,240 Speaker 1: people from your master's program who maybe never were able 394 00:21:07,240 --> 00:21:09,479 Speaker 1: to start a family or feel like they spent too 395 00:21:09,520 --> 00:21:11,879 Speaker 1: much time in the library or whatever. I'm curious what 396 00:21:11,920 --> 00:21:14,159 Speaker 1: your general conception or perception is. 397 00:21:15,720 --> 00:21:19,040 Speaker 4: Well, I guess My perception is I felt they they 398 00:21:19,119 --> 00:21:23,320 Speaker 4: sort of gave this go away. I'm strong, I'm tough, 399 00:21:24,480 --> 00:21:25,720 Speaker 4: I'm not vulnerable that. 400 00:21:25,760 --> 00:21:26,320 Speaker 5: Type of thing. 401 00:21:26,760 --> 00:21:28,119 Speaker 1: Do you think that was because they were told that 402 00:21:28,119 --> 00:21:31,359 Speaker 1: they should compete with men in the workplace in a 403 00:21:31,400 --> 00:21:33,800 Speaker 1: way that was unhealthy. I mean, what's your analysis of it. 404 00:21:34,920 --> 00:21:35,080 Speaker 5: Oh? 405 00:21:35,119 --> 00:21:37,440 Speaker 4: I think it's unhealthy because I wanted to be married 406 00:21:37,480 --> 00:21:40,160 Speaker 4: and have a child and be a college educated woman. 407 00:21:40,320 --> 00:21:42,120 Speaker 4: I wanted to have all of that, and I did. 408 00:21:42,280 --> 00:21:43,080 Speaker 4: I just had to wait. 409 00:21:43,880 --> 00:21:46,000 Speaker 1: Yeah, okay, I've got a good email here, Thank you 410 00:21:46,040 --> 00:21:48,679 Speaker 1: for the call. By the way, with you, I can 411 00:21:48,760 --> 00:21:52,679 Speaker 1: mention my wife has double graduate degrees and voted for Trump. 412 00:21:52,800 --> 00:21:55,320 Speaker 1: So obviously there are a lot of people out there 413 00:21:55,680 --> 00:22:00,159 Speaker 1: in that camp. But again on the outlier thing, you know, 414 00:22:00,560 --> 00:22:02,720 Speaker 1: Mark Zuckerberg didn't finish college and is one of the 415 00:22:02,800 --> 00:22:05,760 Speaker 1: richest people on the planet. That doesn't mean that like 416 00:22:05,960 --> 00:22:08,640 Speaker 1: people shouldn't get an education, right, you know, it doesn't 417 00:22:08,800 --> 00:22:10,560 Speaker 1: or that you shouldn't finish college if you think that's 418 00:22:10,560 --> 00:22:12,919 Speaker 1: gonna be good for you. You know, the exception is not 419 00:22:13,080 --> 00:22:16,439 Speaker 1: the rule. The outlier typically is an outlier for a reason. 420 00:22:16,480 --> 00:22:20,520 Speaker 1: Good email here from Katie. She says howdy from San Antonio. 421 00:22:20,920 --> 00:22:24,240 Speaker 1: College educated gigam Aggie's means she's a tex A and 422 00:22:24,359 --> 00:22:26,800 Speaker 1: M grad. I'm a white woman here, voted for Trump, 423 00:22:26,880 --> 00:22:29,639 Speaker 1: and what I'm interested in is why you think women, 424 00:22:30,000 --> 00:22:32,560 Speaker 1: not what you did, but why you think these numbers 425 00:22:32,640 --> 00:22:34,720 Speaker 1: do reflect the truth. There are a lot of people 426 00:22:34,760 --> 00:22:38,080 Speaker 1: who disagree with you. Here's her explanation. Many of my 427 00:22:38,200 --> 00:22:42,640 Speaker 1: childhood friends turned extremely liberal while in college. Then they 428 00:22:42,720 --> 00:22:47,160 Speaker 1: moved into urban suburban areas around Dallas, Austin, and Houston. 429 00:22:47,840 --> 00:22:51,560 Speaker 1: All of my white college educated liberal friends are extremely 430 00:22:51,680 --> 00:22:56,400 Speaker 1: vocal on social media about the same issues abortion, the 431 00:22:56,440 --> 00:23:00,840 Speaker 1: Alphabet Crew, nonsense, and above all, pandering to the race 432 00:23:01,080 --> 00:23:05,440 Speaker 1: social causes like BLM. It's like they fall all over 433 00:23:05,560 --> 00:23:09,080 Speaker 1: each other to show who is the most apologetic for 434 00:23:09,160 --> 00:23:12,160 Speaker 1: being white and who adopts the most pets from their 435 00:23:12,200 --> 00:23:18,000 Speaker 1: local shelter. Their need to fill morally superior is unmatched. 436 00:23:18,080 --> 00:23:20,400 Speaker 1: I think that's a really great email that actually makes 437 00:23:20,440 --> 00:23:23,520 Speaker 1: a lot of sense. Yeah, high five to who was 438 00:23:23,680 --> 00:23:27,360 Speaker 1: the author of that one. Vad Katie Gigamaggie's good luck 439 00:23:27,359 --> 00:23:30,240 Speaker 1: to Texas A and M in the tournament. Based on this, 440 00:23:30,880 --> 00:23:33,080 Speaker 1: She also said, by the way, Texas A and m 441 00:23:33,359 --> 00:23:37,879 Speaker 1: one of the exceptions mostly conservative school, especially compared to 442 00:23:38,000 --> 00:23:40,080 Speaker 1: that Orange school in Austin, taking a little bit of 443 00:23:40,119 --> 00:23:43,800 Speaker 1: a shot at University of Texas. But it is interesting 444 00:23:44,080 --> 00:23:48,480 Speaker 1: that it's like for college educated women, their social stature 445 00:23:49,000 --> 00:23:53,080 Speaker 1: is a competition to see who can appear the most 446 00:23:53,080 --> 00:23:58,720 Speaker 1: emotionally empathetic, and they may well drive it. I think 447 00:23:58,760 --> 00:24:02,160 Speaker 1: that the notional blackmail that we are all put through 448 00:24:02,359 --> 00:24:08,920 Speaker 1: in college by the woke machinery is particularly effective on women. 449 00:24:09,240 --> 00:24:11,560 Speaker 1: I just think that, again, that doesn't mean that all 450 00:24:11,640 --> 00:24:14,720 Speaker 1: women succumb to it. It just means that I think 451 00:24:14,760 --> 00:24:18,320 Speaker 1: that women are more likely because they're more Look, can 452 00:24:18,359 --> 00:24:20,480 Speaker 1: we can speak about these things honestly, right? Women tend 453 00:24:20,480 --> 00:24:22,800 Speaker 1: to be more empathetic. Women tend to be more in 454 00:24:22,840 --> 00:24:25,800 Speaker 1: touch with their feelings, you know. In general, Okay, I 455 00:24:25,840 --> 00:24:27,600 Speaker 1: need some woman to call, like I could bench press 456 00:24:27,640 --> 00:24:31,200 Speaker 1: you buck like I'm sure you can. But generally speaking, 457 00:24:31,720 --> 00:24:36,920 Speaker 1: women are more when full macho man Randy Savage's the 458 00:24:37,119 --> 00:24:40,160 Speaker 1: that's the lesbian woman from the Democrat Party that picked 459 00:24:40,200 --> 00:24:43,760 Speaker 1: Tim Walls as the man to appeal to. You get 460 00:24:43,800 --> 00:24:45,879 Speaker 1: what I'm you get what I'm putting down. But I 461 00:24:45,880 --> 00:24:48,800 Speaker 1: think that women want to be in. I'm talking about 462 00:24:48,840 --> 00:24:52,360 Speaker 1: college women in college were of that age. Obviously, they 463 00:24:52,400 --> 00:24:54,560 Speaker 1: want to be empathetic. They want to be sympathetic, they 464 00:24:54,600 --> 00:24:56,840 Speaker 1: want to do what they can for other people, and 465 00:24:56,920 --> 00:25:01,199 Speaker 1: they are told that to be good people, bull to 466 00:25:01,440 --> 00:25:04,720 Speaker 1: be good people, you have to identify with these cousin 467 00:25:04,760 --> 00:25:09,120 Speaker 1: Clay a perfect example of this, Zelenski. The college educated 468 00:25:09,160 --> 00:25:12,800 Speaker 1: women love little Zelenski. Give me more money. I'm here 469 00:25:12,880 --> 00:25:15,439 Speaker 1: for Donald Trump in my T shirt. Like, the whole 470 00:25:15,480 --> 00:25:20,360 Speaker 1: thing is bizarre when you think about this. Also, what 471 00:25:20,359 --> 00:25:23,600 Speaker 1: are these college educated women know about what it means 472 00:25:24,000 --> 00:25:26,760 Speaker 1: to be somewhere where you could get blown up by 473 00:25:26,800 --> 00:25:30,520 Speaker 1: an ied or shot by a sniper rifle, et cetera, 474 00:25:30,520 --> 00:25:32,879 Speaker 1: et cetera, et cetera. And yet they're the ones that 475 00:25:32,920 --> 00:25:36,119 Speaker 1: are so all in on this Ukraine war situation. Like, 476 00:25:36,440 --> 00:25:40,040 Speaker 1: think about this for a second. The guys who has fought, 477 00:25:40,280 --> 00:25:42,439 Speaker 1: who has fought a lot of Americans war. Now, I 478 00:25:42,480 --> 00:25:44,760 Speaker 1: have friends who come from very well off backgrounds who 479 00:25:44,800 --> 00:25:46,840 Speaker 1: were in the Army and in the Marines too, So 480 00:25:46,880 --> 00:25:50,040 Speaker 1: I'm not I'm not saying again we're speaking generalities here, Okay, 481 00:25:51,000 --> 00:25:56,640 Speaker 1: working class men are the ones who fight America's wars. 482 00:25:56,960 --> 00:25:59,639 Speaker 1: Rich Man's poor Man's Fight has been a praise for 483 00:25:59,720 --> 00:26:03,080 Speaker 1: hundreds of years, and it's true. In the world. It is, 484 00:26:03,200 --> 00:26:07,200 Speaker 1: you know, eighteen year olds from working class backgrounds who 485 00:26:07,200 --> 00:26:09,880 Speaker 1: are the ones signing up fighting our wars. I don't 486 00:26:09,880 --> 00:26:12,720 Speaker 1: think anybody would find this a controversial statement. It is 487 00:26:12,760 --> 00:26:16,800 Speaker 1: the truth. And it's interesting that they like Trump the 488 00:26:16,800 --> 00:26:19,719 Speaker 1: guy who's trying to end the war, and white college 489 00:26:19,800 --> 00:26:23,399 Speaker 1: educated women are the ones who are like Slava Ukrainy, 490 00:26:23,560 --> 00:26:27,399 Speaker 1: like fight till the very end. The guys know that 491 00:26:27,560 --> 00:26:29,879 Speaker 1: this stuff is nasty and you want to end it 492 00:26:29,920 --> 00:26:32,359 Speaker 1: as fast as possible. This is not a video game. 493 00:26:33,080 --> 00:26:36,800 Speaker 1: Mary in San Marcos, Texas, what's your theory on what's 494 00:26:36,840 --> 00:26:37,480 Speaker 1: going on here? 495 00:26:39,359 --> 00:26:43,720 Speaker 6: I think they're spoiled brats. I think they think they're enabled, 496 00:26:43,800 --> 00:26:45,960 Speaker 6: and they think that they're better, and they think that 497 00:26:46,040 --> 00:26:48,800 Speaker 6: they're going to do whatever they think they want to do. 498 00:26:49,720 --> 00:26:54,120 Speaker 6: They are using the female card. I'm in my sixties, man. 499 00:26:54,560 --> 00:26:56,439 Speaker 6: It took me a while to get my degree, but 500 00:26:56,520 --> 00:26:59,240 Speaker 6: I work my butt off to get my degree, literally 501 00:26:59,320 --> 00:27:02,840 Speaker 6: because we did have federal loans then we had to 502 00:27:02,880 --> 00:27:06,480 Speaker 6: pay it as we went. But I very much earned 503 00:27:06,480 --> 00:27:09,399 Speaker 6: my degree. I am a degree from Texas, A and 504 00:27:09,520 --> 00:27:12,879 Speaker 6: M Corporus Christi, Texas. But I am a teacher. I 505 00:27:12,920 --> 00:27:16,760 Speaker 6: retired after twenty five years. But before that, I was 506 00:27:16,800 --> 00:27:20,240 Speaker 6: a mechanic in an oil refinery. I was a mechanic 507 00:27:20,320 --> 00:27:25,719 Speaker 6: in Abbot Laboratory medical manufacturing system. As I said, I 508 00:27:25,800 --> 00:27:28,760 Speaker 6: worked my butt off. And these ladies that are just 509 00:27:28,960 --> 00:27:32,240 Speaker 6: doing this, they couldn't be bothered by dirting their hands 510 00:27:32,320 --> 00:27:35,760 Speaker 6: doing menal work, waitressing, or working in their kitchen or 511 00:27:35,800 --> 00:27:40,520 Speaker 6: working uh in some kind of hands on product. They're little, 512 00:27:40,760 --> 00:27:43,480 Speaker 6: you know, little mistuccies doing what they want to do 513 00:27:43,560 --> 00:27:46,280 Speaker 6: because I'm a female and I can do this, and 514 00:27:46,520 --> 00:27:49,520 Speaker 6: you know you have to hire me because I'm entitled. No, 515 00:27:49,680 --> 00:27:49,960 Speaker 6: you're not. 516 00:27:50,840 --> 00:27:54,240 Speaker 1: Thank you for the call, but I love it. Thank 517 00:27:54,280 --> 00:27:58,000 Speaker 1: you for the call. I do think there's a generational 518 00:27:58,040 --> 00:28:01,600 Speaker 1: divide here, right, because a lot of women college graduates 519 00:28:01,800 --> 00:28:04,800 Speaker 1: are recent women college graduates, meaning in the last twenty 520 00:28:04,920 --> 00:28:08,040 Speaker 1: or thirty years. As now women get way more college 521 00:28:08,040 --> 00:28:12,199 Speaker 1: degrees in question, for you, buck, are women, because of 522 00:28:12,320 --> 00:28:16,680 Speaker 1: social media, far more likely to be susceptible to what 523 00:28:16,720 --> 00:28:20,159 Speaker 1: their friends do and say than men are. Like I 524 00:28:20,160 --> 00:28:22,800 Speaker 1: don't know about you, but Clay and I Clay and 525 00:28:22,840 --> 00:28:26,119 Speaker 1: I here experts on women. I just think it's kind 526 00:28:26,119 --> 00:28:28,399 Speaker 1: of funny. Yes, I'm just having I'm just having a 527 00:28:28,440 --> 00:28:31,400 Speaker 1: go at you. Yes, I think that you are correct. 528 00:28:31,480 --> 00:28:34,200 Speaker 1: I think that the I see this all the time. 529 00:28:34,440 --> 00:28:38,160 Speaker 1: Can I just tell you something, you know, I have 530 00:28:38,360 --> 00:28:40,720 Speaker 1: I still have some friends who are single and I 531 00:28:40,760 --> 00:28:42,840 Speaker 1: and I love hearing about, you know, their story. It's 532 00:28:42,840 --> 00:28:45,120 Speaker 1: great to hear their stories, right, It's it's like hearing 533 00:28:45,120 --> 00:28:47,160 Speaker 1: about people who are out there in the jungle trying 534 00:28:47,160 --> 00:28:49,520 Speaker 1: to find the tiger still, you know, like I'm I'm safe. 535 00:28:49,520 --> 00:28:54,520 Speaker 1: And I got an older brother who's who's a fantastic 536 00:28:54,600 --> 00:28:57,920 Speaker 1: guy and a very LGB bachelor, a great catch. Just 537 00:28:57,920 --> 00:29:00,000 Speaker 1: thrown it out there, great catch, Mason, my older brother, 538 00:29:00,520 --> 00:29:02,239 Speaker 1: and and he's still single. But you know, I've got 539 00:29:02,240 --> 00:29:03,920 Speaker 1: a bunch of friends down here as well, who are 540 00:29:03,960 --> 00:29:07,520 Speaker 1: all single guys. And Clay. The number of women who 541 00:29:07,560 --> 00:29:10,880 Speaker 1: think it's really appealing to tell guys that their great 542 00:29:10,960 --> 00:29:15,600 Speaker 1: life life aspiration is to travel is insane to me. 543 00:29:16,560 --> 00:29:20,960 Speaker 1: This is this is entirely a product of Instagram culture 544 00:29:21,320 --> 00:29:24,720 Speaker 1: and getting the likes. And I'm in Toulom and I'm 545 00:29:24,720 --> 00:29:27,640 Speaker 1: in Barcelona, and I'm in all these places and all 546 00:29:27,680 --> 00:29:31,120 Speaker 1: my friends think I'm living this great life. Traveling is 547 00:29:31,160 --> 00:29:33,080 Speaker 1: a thing you do once in a while to do 548 00:29:33,120 --> 00:29:37,400 Speaker 1: a reset from your actual life. And yeah, sound like 549 00:29:37,400 --> 00:29:40,520 Speaker 1: an Instagram influencer chick right now. I kind of think 550 00:29:40,520 --> 00:29:43,360 Speaker 1: they're right. I love to travel. I want to go everywhere. 551 00:29:43,600 --> 00:29:45,680 Speaker 1: That's what I want to do. I want to just 552 00:29:45,720 --> 00:29:48,040 Speaker 1: travel over the You gotta see me, like on the 553 00:29:48,120 --> 00:29:50,320 Speaker 1: edge of a cliff taking a selfie, like look at 554 00:29:50,360 --> 00:29:53,040 Speaker 1: the sea in the background. We need doctor Laura. Where's 555 00:29:53,080 --> 00:29:54,840 Speaker 1: doctor Laura. We need hear the weigh in on this. 556 00:29:55,640 --> 00:29:58,720 Speaker 1: But I do think that first of all, I have 557 00:29:58,720 --> 00:30:01,120 Speaker 1: no idea what my friends say on social media, Like 558 00:30:01,240 --> 00:30:03,080 Speaker 1: I use social media. If you were trying to find 559 00:30:03,320 --> 00:30:05,080 Speaker 1: you found, you found a great woman and built a 560 00:30:05,080 --> 00:30:07,320 Speaker 1: beautiful family in a real young world where you meet 561 00:30:07,360 --> 00:30:10,280 Speaker 1: face to face like in law school, like most people 562 00:30:10,480 --> 00:30:12,600 Speaker 1: used to meet face to face. But so I the 563 00:30:12,640 --> 00:30:15,479 Speaker 1: whole dating on the internet thing was like predates me. So, 564 00:30:15,880 --> 00:30:18,000 Speaker 1: but I'm saying if you if you met a girl 565 00:30:18,080 --> 00:30:20,680 Speaker 1: in you know, not Laura, if you had met somebody 566 00:30:20,680 --> 00:30:23,120 Speaker 1: before you met Laura, and you said, hey, like, you know, 567 00:30:23,160 --> 00:30:24,320 Speaker 1: what do you want to do? Just like I just 568 00:30:24,360 --> 00:30:27,160 Speaker 1: want to travel now, you think that's a you think 569 00:30:27,200 --> 00:30:29,440 Speaker 1: that not not. I want to build a family. I 570 00:30:29,560 --> 00:30:31,800 Speaker 1: like to travel. Now what I wanted to hear you're 571 00:30:31,800 --> 00:30:34,960 Speaker 1: a want you don't count now I'm talking about when 572 00:30:35,000 --> 00:30:37,440 Speaker 1: you were single. Oh yeah, No, what I wanted to 573 00:30:37,440 --> 00:30:39,880 Speaker 1: hear was I want to have a ton of kids. Yeah, 574 00:30:39,960 --> 00:30:42,360 Speaker 1: that's what I would want to hear. So you agree 575 00:30:42,360 --> 00:30:44,920 Speaker 1: with me your whole I love to travel thing, Clay, Yeah, like, 576 00:30:44,960 --> 00:30:51,120 Speaker 1: cause you're you know, I'm already around totally different, but 577 00:30:51,120 --> 00:30:53,920 Speaker 1: but I do think the thing that I wanted to 578 00:30:53,960 --> 00:30:56,720 Speaker 1: hear was, Hey, I want to have a bunch of kids. 579 00:30:57,200 --> 00:30:59,920 Speaker 1: And that's what had appeal to me. And if you're 580 00:31:00,040 --> 00:31:02,920 Speaker 1: or I guess I'm thinking like twenty five year old 581 00:31:03,040 --> 00:31:04,880 Speaker 1: day if you're like thirty five and you meet somebody 582 00:31:04,960 --> 00:31:06,240 Speaker 1: and like, what do you want to do with your life? 583 00:31:06,280 --> 00:31:08,760 Speaker 1: Like I want to travel. That's a little bit weird person. 584 00:31:08,720 --> 00:31:11,000 Speaker 1: There's a lot I've had. This is what I'm telling you. 585 00:31:11,000 --> 00:31:12,960 Speaker 1: There are a lot of women in their thirties who 586 00:31:13,000 --> 00:31:17,040 Speaker 1: their aspiration is their life aspiration again as they're presenting 587 00:31:17,040 --> 00:31:19,680 Speaker 1: it on social media and on dating apps or whatever, 588 00:31:19,840 --> 00:31:22,680 Speaker 1: is I want to travel. And I just think that 589 00:31:22,800 --> 00:31:29,160 Speaker 1: this is this mindset of this self actualization through selfies 590 00:31:29,880 --> 00:31:33,000 Speaker 1: is really damaging. I think it's totally true. Here's another 591 00:31:33,120 --> 00:31:36,920 Speaker 1: question for you. Do you think women are more impacted 592 00:31:37,000 --> 00:31:40,360 Speaker 1: by negativity on social media? Like, in other words, anything 593 00:31:40,400 --> 00:31:43,040 Speaker 1: that we post, If you want to go into the mentions, 594 00:31:43,400 --> 00:31:45,400 Speaker 1: you can find five or six people that are like, 595 00:31:45,720 --> 00:31:48,200 Speaker 1: kill yourself, I hope you die, right, I mean that 596 00:31:48,320 --> 00:31:52,040 Speaker 1: is very common on social media, particularly Twitter compared to Instagram. 597 00:31:52,640 --> 00:31:56,120 Speaker 1: How much of this is just a fear of anybody 598 00:31:56,200 --> 00:31:59,480 Speaker 1: disagreeing with them in a desperate way. Women are far 599 00:31:59,520 --> 00:32:02,400 Speaker 1: more social savvy than men are, Like I don't know 600 00:32:02,640 --> 00:32:04,840 Speaker 1: what I'm getting, the cold shoulder, I don't notice because 601 00:32:04,880 --> 00:32:08,920 Speaker 1: I'm I'm not savvy enough to notice it in many respects. 602 00:32:09,040 --> 00:32:12,160 Speaker 1: And I do think women are more, far more tuned. 603 00:32:12,600 --> 00:32:15,880 Speaker 1: And I wonder my thought on this is what would 604 00:32:15,960 --> 00:32:21,040 Speaker 1: Trump have been like in a non social media era. Well, 605 00:32:21,080 --> 00:32:22,840 Speaker 1: come back, let's come back to this. Okay, let's come 606 00:32:22,880 --> 00:32:24,480 Speaker 1: back to those two questions. And also we'll get some 607 00:32:24,480 --> 00:32:26,160 Speaker 1: of your calls to close us out. We're talking about 608 00:32:26,240 --> 00:32:28,520 Speaker 1: ladies out there. I'm gonna say something right now, A 609 00:32:28,560 --> 00:32:31,000 Speaker 1: lot of the guys, you know your two A people 610 00:32:31,040 --> 00:32:33,480 Speaker 1: and that's great. I'm a two AA guy, but force 611 00:32:33,720 --> 00:32:36,080 Speaker 1: escalation is something that's great for you to have to 612 00:32:36,160 --> 00:32:39,080 Speaker 1: consider right non lethal options and a lot of ladies, 613 00:32:39,080 --> 00:32:42,760 Speaker 1: including my wife, prefer the non lethal as their go 614 00:32:42,800 --> 00:32:45,080 Speaker 1: to if they have to defend themselves. And this is 615 00:32:45,080 --> 00:32:47,719 Speaker 1: where Saber comes in. Saber has been doing this for 616 00:32:47,840 --> 00:32:51,600 Speaker 1: over fifty years. You can find their products at saberradio 617 00:32:51,720 --> 00:32:53,800 Speaker 1: dot com. It's very specific websites. Let me give it 618 00:32:53,840 --> 00:32:58,480 Speaker 1: to you again, SABR saberradio dot com. They're products things 619 00:32:58,560 --> 00:33:02,320 Speaker 1: like pepper spray. They're pepper ball launcher, easy to use 620 00:33:02,720 --> 00:33:06,680 Speaker 1: and so effective. If you're looking in the non lethal range, 621 00:33:06,880 --> 00:33:10,360 Speaker 1: Saber is your go to. They've safeguarded hundreds of thousands 622 00:33:10,400 --> 00:33:12,840 Speaker 1: of Americans over the decades that they've been in business. 623 00:33:12,840 --> 00:33:15,720 Speaker 1: Family owned company. They make the best in class. There 624 00:33:15,760 --> 00:33:18,800 Speaker 1: are other guys out there that are competitors that honestly 625 00:33:18,840 --> 00:33:21,080 Speaker 1: just can't compete because Sabers products are the best. I've 626 00:33:21,080 --> 00:33:24,360 Speaker 1: tried all the different pepper launchers. Saber makes the best 627 00:33:24,400 --> 00:33:28,080 Speaker 1: one and that creates a six foot pepper cloud upon impact, 628 00:33:28,080 --> 00:33:32,520 Speaker 1: causing inten censory irritation. Find dozens of incredible home defense 629 00:33:32,560 --> 00:33:35,760 Speaker 1: and self defense products that Saber makes at their website 630 00:33:35,840 --> 00:33:38,880 Speaker 1: Saber radio dot com. Say fifteen percent when you go today, 631 00:33:39,200 --> 00:33:42,200 Speaker 1: or just call this number eight four four eight two 632 00:33:42,320 --> 00:33:48,000 Speaker 1: four safe eight four four eight two four safe. 633 00:33:48,520 --> 00:33:52,000 Speaker 2: Cheap up with the biggest political comeback in world history. 634 00:33:52,040 --> 00:33:55,600 Speaker 2: On the Team forty seven podcast, Clay and Buck highlight 635 00:33:55,680 --> 00:33:57,000 Speaker 2: Trump free plays from the. 636 00:33:56,960 --> 00:34:00,440 Speaker 1: Week Sundays at noon Eastern. Find it on the iHeart Radio, 637 00:34:00,520 --> 00:34:04,440 Speaker 1: Adam or wherever you get your podcasts. All right, welcome 638 00:34:04,440 --> 00:34:06,560 Speaker 1: back into Clay and Buck. We are fired up here 639 00:34:06,600 --> 00:34:09,839 Speaker 1: on this topic, as are so many of you. You're 640 00:34:09,840 --> 00:34:13,800 Speaker 1: calling in, you're writing in all over the place we have. 641 00:34:14,120 --> 00:34:18,840 Speaker 1: Is this a call Christine and Cape Cod and God? 642 00:34:19,480 --> 00:34:20,160 Speaker 1: What's going on? 643 00:34:20,440 --> 00:34:26,120 Speaker 5: Hi? Well? I am. I have two children in their twenties. 644 00:34:26,360 --> 00:34:30,239 Speaker 5: I raised them in affluent Newton, Massachusetts. I have a 645 00:34:30,280 --> 00:34:34,480 Speaker 5: master's degree to successful companies. Although I'm a Republican, all 646 00:34:34,520 --> 00:34:37,640 Speaker 5: of my best friends that I raised my children with 647 00:34:37,719 --> 00:34:43,080 Speaker 5: were crazy Liberals. And to the point of where what 648 00:34:43,239 --> 00:34:45,560 Speaker 5: I think is going on and what I saw in 649 00:34:45,600 --> 00:34:50,359 Speaker 5: our community is that boys have been totally emasculated as 650 00:34:50,400 --> 00:34:53,040 Speaker 5: well as men, And for the most part, most of 651 00:34:53,080 --> 00:34:56,400 Speaker 5: the men in our community were raised to be very effeminate, 652 00:34:57,160 --> 00:34:59,520 Speaker 5: to not be aggressive, to not be real men, to 653 00:34:59,600 --> 00:35:05,400 Speaker 5: not be do sexual advances, advances for concern over being 654 00:35:05,560 --> 00:35:09,279 Speaker 5: aggressive or for it to be looked at as you know, 655 00:35:10,080 --> 00:35:14,200 Speaker 5: rapists or whatever. And so I think young boys are 656 00:35:14,239 --> 00:35:17,719 Speaker 5: are not are told not to be that way. And 657 00:35:17,760 --> 00:35:20,399 Speaker 5: so when all these women are confronted with a real 658 00:35:20,440 --> 00:35:23,640 Speaker 5: man who is aggressive, who is all you know, playing 659 00:35:23,640 --> 00:35:27,640 Speaker 5: outside and wrestling and all of that, they are like 660 00:35:27,760 --> 00:35:30,560 Speaker 5: a guest. Boys shouldn't be that way. Men shouldn't be 661 00:35:30,600 --> 00:35:30,919 Speaker 5: that way. 662 00:35:31,000 --> 00:35:32,640 Speaker 1: So Trump, super fast, real. 663 00:35:32,520 --> 00:35:35,799 Speaker 5: Man, I think, I think is looked upon as that. 664 00:35:36,600 --> 00:35:40,439 Speaker 5: And so I think, and certainly like my daughter who 665 00:35:40,920 --> 00:35:44,839 Speaker 5: is in Cambridge and went to school in Boston, all 666 00:35:44,880 --> 00:35:48,040 Speaker 5: of the men were very effeminate. So you have all 667 00:35:48,080 --> 00:35:51,560 Speaker 5: of these women who and the women in my community, 668 00:35:52,000 --> 00:35:54,560 Speaker 5: we were all lucky enough to raise our children at home, 669 00:35:54,640 --> 00:35:58,160 Speaker 5: so they were leading very feminine roles within their households, 670 00:35:58,600 --> 00:36:01,440 Speaker 5: how you know, staying home, taking care of their kids, 671 00:36:01,480 --> 00:36:04,160 Speaker 5: all of that. Yet we were telling our kids to 672 00:36:04,160 --> 00:36:07,520 Speaker 5: not be that way. Don't assume those roles. Girl, you know, 673 00:36:07,600 --> 00:36:11,120 Speaker 5: get that abortion if you want that abortion, and boys 674 00:36:11,160 --> 00:36:12,839 Speaker 5: don't be don't wrestle, don't do that. 675 00:36:13,400 --> 00:36:16,239 Speaker 1: Yeah, they masculinize the women. Actually, the young women are 676 00:36:16,239 --> 00:36:18,000 Speaker 1: being told to act more like men, and men are 677 00:36:18,040 --> 00:36:19,719 Speaker 1: being told to act more like women. It's part of 678 00:36:19,719 --> 00:36:22,480 Speaker 1: the whole gender confusion in this country. Great call, great call, 679 00:36:22,560 --> 00:36:24,239 Speaker 1: Thank you so much. Let me just say for those 680 00:36:24,280 --> 00:36:25,839 Speaker 1: of you, because I think we have like every line 681 00:36:25,920 --> 00:36:28,360 Speaker 1: right now lit up. We obviously were at the end 682 00:36:28,400 --> 00:36:29,719 Speaker 1: of the show, so Clint and I would love it 683 00:36:29,760 --> 00:36:32,359 Speaker 1: if you would whatever you want to say tell us 684 00:36:32,400 --> 00:36:34,799 Speaker 1: on talkback. We will definitely hear it. We get all 685 00:36:34,840 --> 00:36:36,440 Speaker 1: of the talkbacks, We get them sent to us in 686 00:36:36,520 --> 00:36:38,680 Speaker 1: emails so we can hear them or read the transcript, 687 00:36:38,800 --> 00:36:40,919 Speaker 1: and we'll play some of them tomorrow because we're at time. 688 00:36:41,600 --> 00:36:44,080 Speaker 1: Great idea. Yes, if you are still waiting, give us 689 00:36:44,160 --> 00:36:46,600 Speaker 1: the talkback on the iHeart App and we will play 690 00:36:46,680 --> 00:36:50,680 Speaker 1: a bunch of these tomorrow. Great emails, great calls. We'll 691 00:36:50,680 --> 00:36:53,760 Speaker 1: be back with all of you tomorrow in CAA tournament. 692 00:36:53,840 --> 00:36:55,439 Speaker 1: Get your picks in, let's have some fun.