1 00:00:00,120 --> 00:00:02,720 Speaker 1: All right, the third hour, Clan Buck kicks off now 2 00:00:02,759 --> 00:00:06,680 Speaker 1: just a reminder, will be joined by Batia Hunger Sargan 3 00:00:06,960 --> 00:00:10,960 Speaker 1: in the third segment here of the hour. So that's 4 00:00:11,000 --> 00:00:12,680 Speaker 1: at the half hour. Sorry, I know you're not all 5 00:00:12,680 --> 00:00:15,360 Speaker 1: watching a radio'clock like we are. It's about twenty minutes 6 00:00:15,440 --> 00:00:18,480 Speaker 1: or so. We're talking to Batia about her book, really interesting. 7 00:00:19,280 --> 00:00:24,720 Speaker 1: It's well about how the elites abandoned are betrayed America's 8 00:00:24,760 --> 00:00:25,919 Speaker 1: working men and women. 9 00:00:26,000 --> 00:00:27,639 Speaker 2: Will discuss that with her. It's her new book. 10 00:00:27,680 --> 00:00:32,440 Speaker 1: But in the meantime, I've been you know, it's funny, Carrie. 11 00:00:32,720 --> 00:00:34,680 Speaker 1: She's let me watch a couple of I shouldn't say 12 00:00:34,720 --> 00:00:37,440 Speaker 1: let but she has been because I've been sick, as 13 00:00:37,479 --> 00:00:39,280 Speaker 1: some of you could probably hear the last few days. 14 00:00:40,000 --> 00:00:41,960 Speaker 1: So I use that as a special excuse to watch 15 00:00:41,960 --> 00:00:45,640 Speaker 1: a little more of the basketball than I know. So 16 00:00:45,680 --> 00:00:48,240 Speaker 1: I've been seeing some of the things. Did you watch 17 00:00:48,320 --> 00:00:50,080 Speaker 1: last night too? Is this three days in a row? 18 00:00:50,479 --> 00:00:52,320 Speaker 1: I didn't see last night, but I did watch like 19 00:00:52,360 --> 00:00:54,400 Speaker 1: two nights in a row. I think it was I 20 00:00:54,440 --> 00:00:57,000 Speaker 1: saw my beloved Nicks, whom I used to go see 21 00:00:57,040 --> 00:00:59,920 Speaker 1: with my dad back when Madison Square Garden had like 22 00:01:00,200 --> 00:01:04,520 Speaker 1: three food options. It's like hot dogs, pretzels, beer, That 23 00:01:04,680 --> 00:01:07,479 Speaker 1: was it. Now you go to these places and like, sir, 24 00:01:07,600 --> 00:01:10,119 Speaker 1: would you like some slice filet mignon and a horse 25 00:01:10,200 --> 00:01:13,120 Speaker 1: radish sauce. Obviously, I love that because I like fancy food. 26 00:01:13,280 --> 00:01:15,960 Speaker 1: But I'm just saying it's changed a lot. Tickets are 27 00:01:15,959 --> 00:01:18,920 Speaker 1: certainly super expensive now too. But I grew up going 28 00:01:18,920 --> 00:01:21,720 Speaker 1: to Knicks games Nick's loss, which was a shame, and 29 00:01:21,760 --> 00:01:24,480 Speaker 1: then I'm now rooting for the Pacers because I feel like, 30 00:01:24,480 --> 00:01:26,959 Speaker 1: you know, Indiana, Indiana could use a little you know, Boston. 31 00:01:27,080 --> 00:01:28,520 Speaker 1: You got plenty of stuff going on in Boston. 32 00:01:28,520 --> 00:01:31,640 Speaker 3: It's actually nice of you to not be bitter and 33 00:01:31,840 --> 00:01:34,560 Speaker 3: just root against the team that beat your team out 34 00:01:34,600 --> 00:01:37,440 Speaker 3: of spite, which is a very common sports fan thing 35 00:01:37,520 --> 00:01:40,000 Speaker 3: to do, and I've been guilty of that before too. 36 00:01:40,160 --> 00:01:42,600 Speaker 1: Well, you've got to remember there's a Boston. There's a 37 00:01:42,680 --> 00:01:45,200 Speaker 1: bit of a point. It's not so much Indiana as 38 00:01:45,240 --> 00:01:46,319 Speaker 1: it's anti Boston. 39 00:01:47,080 --> 00:01:47,640 Speaker 2: I wouldn't go. 40 00:01:47,680 --> 00:01:51,160 Speaker 1: I wouldn't say I'm an anti Boston fans say this 41 00:01:51,240 --> 00:01:53,680 Speaker 1: though you should be because I flagged this for you 42 00:01:53,800 --> 00:01:56,120 Speaker 1: off air, But I want to share since you brought up. 43 00:01:56,040 --> 00:01:59,400 Speaker 3: Boston, I don't understand. If you're listening to us right 44 00:01:59,400 --> 00:02:04,040 Speaker 3: now in Massachusetts, I don't understand how you live in 45 00:02:04,080 --> 00:02:07,240 Speaker 3: the state you live in. We've been talking about polling. 46 00:02:07,280 --> 00:02:11,040 Speaker 3: New Jersey can look good for Trump, Minnesota, New York even. 47 00:02:10,880 --> 00:02:11,600 Speaker 2: Not that bad. 48 00:02:11,919 --> 00:02:16,280 Speaker 3: I told you this book. Biden is up thirty six 49 00:02:16,440 --> 00:02:24,120 Speaker 3: points on Trump in Massachusetts sixty eight to thirty two, 50 00:02:24,639 --> 00:02:29,040 Speaker 3: according to a poll that came out sixty eight to 51 00:02:29,200 --> 00:02:33,400 Speaker 3: thirty two. That might be the number one Biden state 52 00:02:33,440 --> 00:02:37,639 Speaker 3: in all of America. If seventy percent of Massachusetts residents 53 00:02:37,680 --> 00:02:39,960 Speaker 3: nearly are voting for I couldn't live there. I would 54 00:02:40,000 --> 00:02:41,800 Speaker 3: just be like, peace out, I'm leaving the state. I 55 00:02:41,800 --> 00:02:42,760 Speaker 3: can't be here anymore. 56 00:02:43,000 --> 00:02:43,400 Speaker 2: You have. 57 00:02:43,840 --> 00:02:46,120 Speaker 1: I think it's about thirty percent, give or take of 58 00:02:46,120 --> 00:02:50,160 Speaker 1: Boston who are Republicans thirty percent, So it is about 59 00:02:50,160 --> 00:02:53,000 Speaker 1: seventy percent who are Democrats or independents who lean Democrat. 60 00:02:53,360 --> 00:02:56,079 Speaker 1: I went to college not in Boston, because that's what 61 00:02:56,120 --> 00:02:57,400 Speaker 1: you say when you go to Harvard. You don't want 62 00:02:57,400 --> 00:02:58,800 Speaker 1: to tell people, so then they have to ask you, 63 00:02:58,840 --> 00:03:00,880 Speaker 1: what do you Which college in Boston did you go to? 64 00:03:00,919 --> 00:03:03,080 Speaker 1: I went to college in Boston. Even worse, I went 65 00:03:03,120 --> 00:03:06,120 Speaker 1: to college in Cambridge University whatever. Yeah, I went in 66 00:03:06,160 --> 00:03:09,400 Speaker 1: central Massachusetts, and so I'm I'm very familiar with this. 67 00:03:09,440 --> 00:03:11,760 Speaker 1: I've spent four years up there. You know, it is 68 00:03:11,800 --> 00:03:14,240 Speaker 1: the most Democrat state in the country, Massachusetts. 69 00:03:15,280 --> 00:03:16,920 Speaker 2: Percent of them are voting for Biden. 70 00:03:17,040 --> 00:03:19,360 Speaker 3: They literally would vote for a corpse made someone you 71 00:03:19,320 --> 00:03:21,639 Speaker 3: would say they voted for a murderer. For a long 72 00:03:21,680 --> 00:03:23,080 Speaker 3: time with Ted Kennedy. 73 00:03:23,080 --> 00:03:28,880 Speaker 1: It's all Boston Democrat politics. In my the way that 74 00:03:28,960 --> 00:03:30,800 Speaker 1: I've I experienced it, you know, when I was there, 75 00:03:30,880 --> 00:03:35,000 Speaker 1: or I should say Massachusetts Democrat politics. It's just like 76 00:03:35,520 --> 00:03:38,400 Speaker 1: it's almost like the way that you're a Pats and 77 00:03:38,600 --> 00:03:42,000 Speaker 1: Red Sox fan, you're a Democrat. Like it's just in 78 00:03:42,040 --> 00:03:45,640 Speaker 1: the culture very deeply. It's very entrench you know, people 79 00:03:45,680 --> 00:03:49,280 Speaker 1: think of the Kennedys, and just being a Democrat as 80 00:03:49,320 --> 00:03:53,840 Speaker 1: a Massachusetts resident is or as a Massachusetts guy or 81 00:03:53,880 --> 00:03:56,520 Speaker 1: gal is like what you have to be. I don't know, 82 00:03:56,560 --> 00:03:59,880 Speaker 1: it's it's very like it's not even considered to be. 83 00:04:00,120 --> 00:04:00,240 Speaker 2: Now. 84 00:04:00,280 --> 00:04:02,240 Speaker 1: Of course, a third of the state roughly a Republicans, 85 00:04:02,280 --> 00:04:03,680 Speaker 1: So there are Republicans there and some of them are 86 00:04:03,680 --> 00:04:06,160 Speaker 1: listening to us right now. But I just remember it 87 00:04:06,240 --> 00:04:09,040 Speaker 1: was even more so than anywhere else. It's like, yeah, 88 00:04:09,080 --> 00:04:11,080 Speaker 1: of course I'm a Democrat, Like what else would the 89 00:04:11,240 --> 00:04:13,360 Speaker 1: attitude is of course I'm a Democrat. What else would 90 00:04:13,360 --> 00:04:16,200 Speaker 1: I be? Is there even another party? It's it's different 91 00:04:16,240 --> 00:04:19,279 Speaker 1: than it is in other places. I also find that 92 00:04:19,279 --> 00:04:24,159 Speaker 1: they're not as that that. Massachusetts Democrats aren't as like 93 00:04:24,320 --> 00:04:27,400 Speaker 1: aggressive about it always as you get in like New 94 00:04:27,480 --> 00:04:30,240 Speaker 1: York and LA and stuff. Because oh that's interesting. They 95 00:04:30,960 --> 00:04:32,840 Speaker 1: are in such a mon like if you live in 96 00:04:32,839 --> 00:04:35,800 Speaker 1: New York City, you know about Long Island, right, you 97 00:04:35,880 --> 00:04:37,920 Speaker 1: know about Staten Island, Like you know there are these 98 00:04:37,920 --> 00:04:40,800 Speaker 1: places nearby where there are Republicans. If your life has 99 00:04:40,800 --> 00:04:43,279 Speaker 1: lived in Massachusetts, you're just like what Republicans? Like, what 100 00:04:43,320 --> 00:04:44,080 Speaker 1: are you talking about? 101 00:04:44,120 --> 00:04:44,320 Speaker 4: You know? 102 00:04:44,400 --> 00:04:47,360 Speaker 1: So anyway, it's a little bit of a simplication, I know, 103 00:04:47,600 --> 00:04:50,480 Speaker 1: you know, but you know it's it's pretty pretty accurate, 104 00:04:50,480 --> 00:04:53,760 Speaker 1: all right. I want to talk about So basketball is 105 00:04:53,800 --> 00:04:56,599 Speaker 1: what I was getting into here first uh and and 106 00:04:56,640 --> 00:04:59,960 Speaker 1: then I wanted to mention on the view this was 107 00:05:00,160 --> 00:05:03,440 Speaker 1: analysis of a different of a women's basketball now which 108 00:05:04,080 --> 00:05:06,800 Speaker 1: I want to dive into this little bit so uh 109 00:05:06,839 --> 00:05:10,719 Speaker 1: sunny hostin who I will say, seems very hostile and 110 00:05:10,920 --> 00:05:11,920 Speaker 1: unhappy as a just. 111 00:05:11,839 --> 00:05:14,640 Speaker 3: A and unlikable, like there are people I disagree with 112 00:05:14,680 --> 00:05:16,400 Speaker 3: that actually seem like they would be fun to go 113 00:05:16,440 --> 00:05:18,080 Speaker 3: have a drink with. I was gonna say, I think 114 00:05:18,120 --> 00:05:20,479 Speaker 3: you and I would have a ball with joy Bahart 115 00:05:20,520 --> 00:05:22,760 Speaker 3: if we went out. And I think she's probably pretty funny, 116 00:05:22,800 --> 00:05:24,880 Speaker 3: like I think she's Olderg. I think will Be Goldberg 117 00:05:24,880 --> 00:05:25,280 Speaker 3: would be fun. 118 00:05:25,320 --> 00:05:27,000 Speaker 1: I'm gonna tell you this, and some people are gonna 119 00:05:27,000 --> 00:05:28,440 Speaker 1: get mad at me, but I just speak the truth. 120 00:05:28,480 --> 00:05:31,680 Speaker 1: I have a dear friend in media since I got started, 121 00:05:32,000 --> 00:05:34,159 Speaker 1: who is a good friend of Whoopee Goldberg's, and he 122 00:05:34,200 --> 00:05:35,320 Speaker 1: says she is delightful. 123 00:05:35,600 --> 00:05:38,200 Speaker 2: I'm he says she's doing what shock me. 124 00:05:38,279 --> 00:05:40,480 Speaker 3: That they would be fun to hang out with based 125 00:05:40,520 --> 00:05:42,280 Speaker 3: on their public But I don't think you can fake 126 00:05:42,720 --> 00:05:43,880 Speaker 3: overtime warmth. 127 00:05:44,240 --> 00:05:47,240 Speaker 1: She is a a warm and from what I am told, 128 00:05:47,279 --> 00:05:49,720 Speaker 1: I've never met her a warm and generous person in 129 00:05:49,760 --> 00:05:52,400 Speaker 1: her you know, in her life, you know her personal life, 130 00:05:52,480 --> 00:05:54,440 Speaker 1: or you know, dealing with people, dealing with staff. 131 00:05:54,560 --> 00:05:55,080 Speaker 2: That's how I do. 132 00:05:55,400 --> 00:05:57,080 Speaker 1: You and I always the way we always foind out 133 00:05:57,080 --> 00:05:58,880 Speaker 1: about who we're who we're talking about, who we're dealing with. 134 00:05:58,960 --> 00:06:00,760 Speaker 2: Is just find out who works for them on the show. 135 00:06:00,800 --> 00:06:05,520 Speaker 3: Makeup artists, makeup artist in every time, every network. I 136 00:06:05,760 --> 00:06:08,440 Speaker 3: love to sit there. Believe it or not, my face 137 00:06:08,480 --> 00:06:11,400 Speaker 3: can sometimes use a touch up. Everybody who goes on 138 00:06:11,440 --> 00:06:14,200 Speaker 3: TV and the studios has makeup on Just if you 139 00:06:14,240 --> 00:06:16,279 Speaker 3: get to be the makeup artist and you get them 140 00:06:16,320 --> 00:06:19,279 Speaker 3: to just tell you stories. They have the best stories 141 00:06:19,560 --> 00:06:21,440 Speaker 3: out there about anybody in media. 142 00:06:21,760 --> 00:06:22,000 Speaker 2: Yeah. 143 00:06:22,200 --> 00:06:25,040 Speaker 1: But Sonny Hostin, I'll just say she comes across I 144 00:06:25,120 --> 00:06:26,600 Speaker 1: think I might have come across her once or twice 145 00:06:26,640 --> 00:06:28,280 Speaker 1: at CNN back of day. I don't even remember, to 146 00:06:28,320 --> 00:06:31,719 Speaker 1: be honest with you, but she comes across as as 147 00:06:32,040 --> 00:06:33,240 Speaker 1: a hostile person. 148 00:06:33,320 --> 00:06:36,719 Speaker 3: Like there's a lot of the uncaring and domineering, which 149 00:06:36,760 --> 00:06:39,360 Speaker 3: would be three adjectives I would not want to apply 150 00:06:39,440 --> 00:06:40,760 Speaker 3: to someone I was friends. 151 00:06:40,440 --> 00:06:45,800 Speaker 1: With, and you know, definitely a bit prickly, you know, 152 00:06:45,839 --> 00:06:50,640 Speaker 1: a little a little unfriendly. Anyway, her analysis of Kaitlyn Clark. 153 00:06:51,240 --> 00:06:54,279 Speaker 1: I want to dive into this because I thought to myself, Wow, really, 154 00:06:54,320 --> 00:06:56,479 Speaker 1: this is how we're gonna this is where we're going 155 00:06:56,480 --> 00:06:58,280 Speaker 1: on the view with this. This is her talking about. 156 00:06:58,279 --> 00:06:59,760 Speaker 1: This is Sonny Hostin on Kaitlyn Clark. 157 00:07:00,160 --> 00:07:04,559 Speaker 5: Kaitlyn Clark is bringing this money, these sponsorships we hope 158 00:07:04,839 --> 00:07:07,960 Speaker 5: into the league and other players will benefit from it. 159 00:07:08,200 --> 00:07:10,840 Speaker 5: But I do think that she is more relatable to 160 00:07:10,960 --> 00:07:15,960 Speaker 5: more people because she's white, because she's attractive, and unfortunately, 161 00:07:16,360 --> 00:07:20,640 Speaker 5: there still is that stigma of against the LGBTQ plus community. 162 00:07:20,720 --> 00:07:24,200 Speaker 5: Seventy percent of the WNBA is black. A third of 163 00:07:24,240 --> 00:07:27,400 Speaker 5: the players are in the LGBTQ plus community, and we 164 00:07:27,560 --> 00:07:32,000 Speaker 5: have to do something about that stigma in this country. 165 00:07:32,200 --> 00:07:35,760 Speaker 5: I think that people have a problem with basketball playing 166 00:07:35,800 --> 00:07:39,600 Speaker 5: women that are lesbians. Who cares they are great athletes? 167 00:07:40,600 --> 00:07:43,200 Speaker 1: Okay, I actually want to want to break this apart 168 00:07:43,240 --> 00:07:45,920 Speaker 1: for a second because and first of all, I'm pretty 169 00:07:45,960 --> 00:07:48,880 Speaker 1: sure Caitlyn Clark is considered such a phenomenon because she's 170 00:07:48,920 --> 00:07:51,600 Speaker 1: the highest scoring against DOAA basketball player of all time. Right, 171 00:07:51,680 --> 00:07:53,960 Speaker 1: that is a good sports analysis from you. That is 172 00:07:54,000 --> 00:07:56,400 Speaker 1: a significant factor as to why she's possible. I feel 173 00:07:56,400 --> 00:07:57,720 Speaker 1: like that's a pretty big deal, like if you were 174 00:07:57,760 --> 00:08:00,800 Speaker 1: the because I think it's unlike a leagues. I don't 175 00:08:00,800 --> 00:08:02,320 Speaker 1: think a lot of women go from high school into 176 00:08:02,320 --> 00:08:04,080 Speaker 1: the WNBA. I think you're generally going to be a 177 00:08:04,080 --> 00:08:06,960 Speaker 1: college player first, Right, So if you're the best college 178 00:08:07,000 --> 00:08:09,320 Speaker 1: player of all time by the numbers. I would think 179 00:08:09,320 --> 00:08:11,360 Speaker 1: that's a pretty they see. I learned things Clay from 180 00:08:11,400 --> 00:08:13,680 Speaker 1: the show. I'm out of booth all the time. And 181 00:08:14,200 --> 00:08:16,000 Speaker 1: but that's one component of it. But also, you know 182 00:08:16,120 --> 00:08:18,760 Speaker 1: she said because the league, you know that if she 183 00:08:18,800 --> 00:08:20,920 Speaker 1: mentioned the league has a lot of black women in it, 184 00:08:20,960 --> 00:08:24,800 Speaker 1: I'm sitting here, I'm like, Michael Jordan is black. Yeah, 185 00:08:24,920 --> 00:08:30,000 Speaker 1: Lebron James is black. Like the the most celebrated athletes 186 00:08:30,080 --> 00:08:34,439 Speaker 1: in American history, athletes in the in the NBA are black. 187 00:08:34,520 --> 00:08:37,200 Speaker 1: So I don't think that that's you know, that that's 188 00:08:37,200 --> 00:08:39,280 Speaker 1: saying that there's like this race issue that makes it 189 00:08:39,360 --> 00:08:42,760 Speaker 1: different for Caitlin Clark, you know. I mean Michael Jordan 190 00:08:42,880 --> 00:08:44,800 Speaker 1: in his prime, I think was probably might be the 191 00:08:44,800 --> 00:08:46,840 Speaker 1: most like beloved and revered person on the planet. 192 00:08:46,840 --> 00:08:49,680 Speaker 3: Like I think, indisputably he is the most beloved athlete 193 00:08:49,720 --> 00:08:52,640 Speaker 3: in American history. Yes, I exactly. I think that's just 194 00:08:52,760 --> 00:08:54,960 Speaker 3: that modern history Babe Ruth back in the day. But 195 00:08:55,000 --> 00:08:57,240 Speaker 3: I mean in the twentieth century, he's in the top five, 196 00:08:57,280 --> 00:08:59,040 Speaker 3: and everybody would. I mean, I used to watch a 197 00:08:59,080 --> 00:09:03,680 Speaker 3: cartoon growing up up, and it was Bo Jackson, Michael Jordan. 198 00:09:03,600 --> 00:09:04,480 Speaker 2: And Wayne Gretzky. 199 00:09:04,520 --> 00:09:06,360 Speaker 1: They threw way yes, who was a great you know, 200 00:09:06,400 --> 00:09:09,080 Speaker 1: ice hockey player, for what I understand, But it's just 201 00:09:09,440 --> 00:09:12,200 Speaker 1: it's the other part of it that I feel like 202 00:09:12,360 --> 00:09:15,160 Speaker 1: is skipped her clay. I mean, in tennis, there have 203 00:09:15,280 --> 00:09:18,920 Speaker 1: been some very prominent lesbian tennis players on the female, 204 00:09:19,120 --> 00:09:22,480 Speaker 1: obviously female side of things, and no you know that 205 00:09:22,559 --> 00:09:24,360 Speaker 1: they were some of the most famous, I mean famous 206 00:09:24,360 --> 00:09:28,400 Speaker 1: tennis players of all time. And to say that that's 207 00:09:28,440 --> 00:09:31,319 Speaker 1: the issue, I think is entirely missing the point that 208 00:09:31,600 --> 00:09:34,600 Speaker 1: I think women's basketball is a difficult product to sell 209 00:09:34,679 --> 00:09:37,680 Speaker 1: under any circumstances, you know what I mean, as a 210 00:09:37,679 --> 00:09:39,800 Speaker 1: as a sport, like why not look at it? As 211 00:09:40,600 --> 00:09:43,200 Speaker 1: you know, I don't think women's football would do well either, 212 00:09:43,400 --> 00:09:46,240 Speaker 1: for pretty obvious reasons. The basketball is a little bit different. 213 00:09:46,280 --> 00:09:49,480 Speaker 1: I understand that, but women's I mean I've been I've 214 00:09:49,520 --> 00:09:51,840 Speaker 1: paid lots of money to go to women's tennis matches, 215 00:09:51,840 --> 00:09:55,079 Speaker 1: Like there are women's sports that are a good viewer experience. 216 00:09:55,840 --> 00:09:58,360 Speaker 1: I just think the WNBA isn't. It's not it's not 217 00:09:58,400 --> 00:10:01,320 Speaker 1: about bigotry or anything else. It's just not a good 218 00:10:01,440 --> 00:10:04,200 Speaker 1: viewer experience. And why can't we just discuss it that way, 219 00:10:04,360 --> 00:10:06,160 Speaker 1: it always has to be about something else. 220 00:10:06,800 --> 00:10:11,760 Speaker 3: Women's soccer and women's tennis dominate, oftentimes rating as well 221 00:10:11,840 --> 00:10:14,440 Speaker 3: or better than men's. A couple of other things here 222 00:10:14,559 --> 00:10:19,440 Speaker 3: that I think stand out. So this is me as sportsperson. 223 00:10:19,840 --> 00:10:23,840 Speaker 3: Caitlin Clark is a lot like Steph Curry. Steph Curry 224 00:10:24,000 --> 00:10:28,720 Speaker 3: is incredibly popular because kids can see themselves in him. 225 00:10:29,000 --> 00:10:31,839 Speaker 3: And I know because I coached little league whatever you 226 00:10:31,840 --> 00:10:34,680 Speaker 3: call it, lower level basketball for a lot of years. 227 00:10:35,559 --> 00:10:38,600 Speaker 3: Kids want to shoot the ball from a long distance 228 00:10:38,679 --> 00:10:42,960 Speaker 3: now because they all emulate Steph Curry. Caitlyn Clark is 229 00:10:43,080 --> 00:10:46,439 Speaker 3: the female version of Steph Curry. Steph Curry's not the biggest, 230 00:10:46,440 --> 00:10:49,920 Speaker 3: the fastest, or the strongest player in the NBA. He 231 00:10:50,200 --> 00:10:53,400 Speaker 3: is attractive to many people because of the way he plays, 232 00:10:53,559 --> 00:10:57,680 Speaker 3: much like Caitlyn Clark. Also want to point this out. Women, 233 00:10:58,040 --> 00:11:02,040 Speaker 3: it seems to me, are one of the biggest obstacles 234 00:11:02,040 --> 00:11:08,120 Speaker 3: to women's sports being successful because this Sonny Hostin take 235 00:11:08,640 --> 00:11:12,200 Speaker 3: has nothing to do with Caitlin Clark as a basketball player. 236 00:11:12,720 --> 00:11:16,560 Speaker 3: She is just tearing her down by saying, Oh, she's 237 00:11:16,679 --> 00:11:23,000 Speaker 3: only popular because she's white, heterosexual, and attractive. That kind 238 00:11:23,080 --> 00:11:27,440 Speaker 3: of analysis would never happen in men's sports. I've done 239 00:11:27,480 --> 00:11:29,440 Speaker 3: men's sports for a long time, Buck, as you know, 240 00:11:29,559 --> 00:11:33,120 Speaker 3: I've never come on and said, hey, the only reason 241 00:11:33,600 --> 00:11:38,560 Speaker 3: ex athlete is popular for men is because of his race, 242 00:11:38,920 --> 00:11:43,000 Speaker 3: or because of his looks, or because of Now, look, 243 00:11:43,280 --> 00:11:47,080 Speaker 3: Tom Brady's not hurt because he's also incredibly good looking 244 00:11:47,200 --> 00:11:49,040 Speaker 3: during his career. Now I happened to think he's had 245 00:11:49,080 --> 00:11:52,040 Speaker 3: too much plastic stargery. Now how much work done? Too 246 00:11:52,120 --> 00:11:55,480 Speaker 3: much work done. But for much of his career being 247 00:11:55,520 --> 00:12:00,400 Speaker 3: a stud quarterback made Tom Brady more popular than he 248 00:12:00,520 --> 00:12:01,640 Speaker 3: otherwise would be. 249 00:12:01,840 --> 00:12:04,400 Speaker 1: That's not crazy Michael Jordan to become an icon that 250 00:12:04,480 --> 00:12:07,640 Speaker 1: he's not. He's a good looking guy. I mean, you 251 00:12:07,880 --> 00:12:12,160 Speaker 1: have to be incredibly good. No one in men's sports 252 00:12:12,160 --> 00:12:15,560 Speaker 1: has ever been popular because they're really ugly or because 253 00:12:15,600 --> 00:12:16,800 Speaker 1: they're really good looking. 254 00:12:17,160 --> 00:12:21,200 Speaker 3: The actual talent matters. Kayler Clark's really talented. If she 255 00:12:21,400 --> 00:12:26,200 Speaker 3: were ugly, and if she were Hispanic or Asian or black, 256 00:12:27,000 --> 00:12:30,319 Speaker 3: and she would still be employed. Can we say the 257 00:12:30,360 --> 00:12:33,720 Speaker 3: same thing about Sonny Hostin If Sonny Houston was ugly 258 00:12:34,080 --> 00:12:36,400 Speaker 3: and not a minority, would she be on the view. 259 00:12:38,720 --> 00:12:41,480 Speaker 3: I don't think so. So if Sonny Hoston wants to 260 00:12:41,520 --> 00:12:44,080 Speaker 3: take a shot at Caitlin Clark and say the only 261 00:12:44,160 --> 00:12:47,360 Speaker 3: reason people like her is because she's white, and she's 262 00:12:47,400 --> 00:12:52,640 Speaker 3: heterosexual and because she's pretty, let me just ask Sonny 263 00:12:52,679 --> 00:12:56,640 Speaker 3: Hostin this question. Sonny, if you were ugly a white woman, 264 00:12:57,760 --> 00:13:01,559 Speaker 3: would you be on the View? I don't think you'd 265 00:13:01,600 --> 00:13:04,360 Speaker 3: have a career. So it's ironic to me that Sonny 266 00:13:04,400 --> 00:13:07,640 Speaker 3: Hostin would attack Caitlin Clark, who indisputably would be in 267 00:13:07,679 --> 00:13:10,320 Speaker 3: the WNBA no matter what she looks like and no 268 00:13:10,400 --> 00:13:14,120 Speaker 3: matter what race she is, because of her on court accomplishments. 269 00:13:15,120 --> 00:13:17,600 Speaker 3: Sonny Houston might be telling on herself a little bit here. 270 00:13:17,640 --> 00:13:20,680 Speaker 3: I think Sonny Houston's pretty. I think that she it 271 00:13:20,679 --> 00:13:23,600 Speaker 3: would not be in media if she were not an 272 00:13:23,600 --> 00:13:25,880 Speaker 3: attractive minority. I think she would have no career. 273 00:13:26,880 --> 00:13:28,679 Speaker 1: And yet I think that she comes at a lot 274 00:13:28,679 --> 00:13:31,280 Speaker 1: of issues, including this one, from a place that just 275 00:13:31,320 --> 00:13:33,120 Speaker 1: sounds very resentful. 276 00:13:33,440 --> 00:13:36,880 Speaker 3: She's very fortunate, and she acts like she has nothing 277 00:13:36,920 --> 00:13:37,880 Speaker 3: to be grateful for. 278 00:13:38,080 --> 00:13:40,280 Speaker 1: In the way that job on that panel, it reminds 279 00:13:40,280 --> 00:13:42,200 Speaker 1: of other people. I mean, she will constantly talk about 280 00:13:42,280 --> 00:13:45,160 Speaker 1: racism and history of race and all this stuff, and 281 00:13:45,200 --> 00:13:47,040 Speaker 1: she's paid millions of dollars to sit at a table 282 00:13:47,040 --> 00:13:48,520 Speaker 1: and talk to a bunch of ladies who have the 283 00:13:48,559 --> 00:13:50,080 Speaker 1: que cards handed to them, to tell them what they're 284 00:13:50,080 --> 00:13:52,200 Speaker 1: going to talk about. And her son goes to Harvard. 285 00:13:52,200 --> 00:13:55,120 Speaker 1: From what I understand, and you know, life's not so bad. 286 00:13:55,200 --> 00:13:57,360 Speaker 3: It's primber when she found out that we played the 287 00:13:57,360 --> 00:14:00,160 Speaker 3: clip where she found out that her ancestors were slave trade. 288 00:14:01,520 --> 00:14:02,680 Speaker 2: Because she's saying. 289 00:14:02,440 --> 00:14:05,080 Speaker 3: She's been demand she's been demanding for there to be 290 00:14:05,160 --> 00:14:08,959 Speaker 3: reparations paid. And then she got her family genealogy done 291 00:14:09,040 --> 00:14:11,480 Speaker 3: and her family, I believe from Puerto Rico had been 292 00:14:11,520 --> 00:14:14,760 Speaker 3: slave traders if I remember correctly. So Sonny's going to 293 00:14:14,800 --> 00:14:18,080 Speaker 3: have to pay reparations. Eight hundred and two way two 294 00:14:18,200 --> 00:14:20,080 Speaker 3: two eight a two. It take some of your calls 295 00:14:20,560 --> 00:14:24,960 Speaker 3: on anything that we have talked about here. Today, most 296 00:14:25,000 --> 00:14:27,520 Speaker 3: Israeli citizens live in a home and apartment that comes 297 00:14:27,760 --> 00:14:29,720 Speaker 3: with a bomb shelter. I mean, compare that to the 298 00:14:29,760 --> 00:14:31,520 Speaker 3: way that we live. We don't have them, nor do 299 00:14:31,520 --> 00:14:33,760 Speaker 3: we feel the need for them. But in Israel, a 300 00:14:33,760 --> 00:14:35,920 Speaker 3: country that has seen tens of thousands of missiles launched 301 00:14:35,960 --> 00:14:40,160 Speaker 3: in their direction, it's a necessity the International Fellowship of 302 00:14:40,280 --> 00:14:42,840 Speaker 3: Christians and Jews, where the IFCJ is on the ground 303 00:14:42,840 --> 00:14:46,960 Speaker 3: there now, addressing all urgent needs and offering help. IFCJ 304 00:14:47,120 --> 00:14:49,720 Speaker 3: is preparing for the worst by packing emergency bomb shelter 305 00:14:49,800 --> 00:14:51,160 Speaker 3: kits that can be delivered. 306 00:14:50,840 --> 00:14:54,080 Speaker 1: Immediately to those in need. Your donation today to the 307 00:14:54,120 --> 00:14:56,840 Speaker 1: IFCJ will help assemble and place these kits with enough 308 00:14:56,840 --> 00:15:00,120 Speaker 1: food and life saving emergency supplies for twenty people bull 309 00:15:00,200 --> 00:15:02,560 Speaker 1: huddled in a bomb shelter. The cost to put together 310 00:15:02,560 --> 00:15:04,600 Speaker 1: and distribute these kits is two hundred and ninety nine 311 00:15:04,640 --> 00:15:08,440 Speaker 1: dollars apiece. Donate to this worthy cout today if you can, 312 00:15:08,720 --> 00:15:11,360 Speaker 1: and thanks to a matching challenge gift from a generous 313 00:15:11,400 --> 00:15:15,320 Speaker 1: IFCJ supporter, your gift will double an impact. The number 314 00:15:15,320 --> 00:15:17,320 Speaker 1: to make your gift to call number to call to 315 00:15:17,320 --> 00:15:20,800 Speaker 1: make your gift today is eight eight eight four eight 316 00:15:20,920 --> 00:15:26,440 Speaker 1: eight IFCJ. That's eight eight eight four eight eight IFCJ. 317 00:15:26,560 --> 00:15:28,400 Speaker 1: If you want to donate online, you can do that too. 318 00:15:29,120 --> 00:15:35,680 Speaker 1: Go to SUPPORTIFCJ dot org. That's one word support IFCJ 319 00:15:36,120 --> 00:15:36,720 Speaker 1: dot org. 320 00:15:37,840 --> 00:15:41,360 Speaker 6: Stay on top of election use with twenty four from 321 00:15:41,440 --> 00:15:44,440 Speaker 6: Clay and Buck, a weekly podcast you can find on 322 00:15:44,480 --> 00:15:48,200 Speaker 6: the free iHeartRadio app or wherever you get your podcasts. 323 00:15:48,440 --> 00:15:51,480 Speaker 3: Welcome back in Clay Travis Buck Sexton Show. Appreciate all 324 00:15:51,560 --> 00:15:54,440 Speaker 3: of you hanging out with us. Never know what you're 325 00:15:54,560 --> 00:15:57,800 Speaker 3: going to get an email. These are the last two 326 00:15:57,840 --> 00:16:03,760 Speaker 3: emails I got Buck Swear to God from Inez, go 327 00:16:04,440 --> 00:16:10,480 Speaker 3: f your self, whore trump blank sucking blank. 328 00:16:11,160 --> 00:16:11,520 Speaker 2: Thank you. 329 00:16:12,000 --> 00:16:14,640 Speaker 3: It's always great to hear a nice email. Always nice 330 00:16:14,640 --> 00:16:21,600 Speaker 3: to hear, not nice Inez. Next email I got. I'm 331 00:16:21,640 --> 00:16:25,720 Speaker 3: a sixty eight year old man, twenty six year Navy 332 00:16:25,800 --> 00:16:30,560 Speaker 3: veteran who flew P three anti submarine aircraft, played football 333 00:16:30,600 --> 00:16:34,680 Speaker 3: and basketball in high school, semi pro baseball in California 334 00:16:34,720 --> 00:16:38,320 Speaker 3: while in the Navy. I'm six foot four, two seventy 335 00:16:39,000 --> 00:16:42,800 Speaker 3: and I'll stand in line by myself for ice cream anytime, 336 00:16:42,880 --> 00:16:43,880 Speaker 3: proudly Woodie. 337 00:16:44,480 --> 00:16:45,840 Speaker 2: So the range of. 338 00:16:47,320 --> 00:16:50,520 Speaker 3: Emails that this show provokes on a day to day 339 00:16:50,520 --> 00:16:54,280 Speaker 3: basis is I would bet unparalleled in the annals of 340 00:16:54,840 --> 00:16:58,680 Speaker 3: media anywhere. So thank you to h to everyone out 341 00:16:58,760 --> 00:17:01,680 Speaker 3: there for your playing a little email address out there 342 00:17:01,680 --> 00:17:05,920 Speaker 3: for people like what, yes you do? Yeah, well it's 343 00:17:05,920 --> 00:17:07,600 Speaker 3: been out you know. I used to do mail bags, 344 00:17:08,119 --> 00:17:11,400 Speaker 3: so I started putting my email address out there. Forever 345 00:17:11,680 --> 00:17:14,199 Speaker 3: I did that, Mike Clay, it was a show email address. 346 00:17:14,240 --> 00:17:18,000 Speaker 3: I didn't give everybody my personally. Remember when I started 347 00:17:18,000 --> 00:17:21,040 Speaker 3: writing online, I had no audience, so I just like, 348 00:17:21,480 --> 00:17:24,119 Speaker 3: I've got you know, there's no telling on a day 349 00:17:24,160 --> 00:17:26,480 Speaker 3: to day basis, what gets what's getting sent in? 350 00:17:26,560 --> 00:17:28,720 Speaker 1: When I started doing radio, and we called it Original 351 00:17:28,760 --> 00:17:31,320 Speaker 1: Saturday Squad or OSS, so that's why people will call 352 00:17:31,359 --> 00:17:34,000 Speaker 1: in sometimes. Obviously also a play on the origins of 353 00:17:34,040 --> 00:17:36,120 Speaker 1: the CIA, the Opera office of. 354 00:17:37,800 --> 00:17:40,280 Speaker 2: Oh my god, I'm forgetting what was the Strategic Services? Sorry, 355 00:17:40,520 --> 00:17:41,439 Speaker 2: just blank for a second. 356 00:17:42,160 --> 00:17:44,320 Speaker 1: But I remember I had so few people listening that 357 00:17:44,359 --> 00:17:47,000 Speaker 1: they've realized that if they tweeted at me to change topics, 358 00:17:47,119 --> 00:17:50,119 Speaker 1: I could just change topics because there were like ten people. 359 00:17:49,880 --> 00:17:52,440 Speaker 2: Listening, so they'd be like, hey, do this instead. I'm like, 360 00:17:52,480 --> 00:17:56,399 Speaker 2: all right, I'd see it on Twitter. Oh that's fantastic. 361 00:17:56,400 --> 00:17:56,760 Speaker 2: What am I just? 362 00:17:56,960 --> 00:17:59,960 Speaker 3: Oh, I'm gonna tell about our friend Frank Seller. Frank's 363 00:18:00,119 --> 00:18:02,560 Speaker 3: Seller who threw me under the bus talking about my 364 00:18:02,680 --> 00:18:04,840 Speaker 3: golf game. By the way, his analysis and my golf 365 00:18:04,840 --> 00:18:07,520 Speaker 3: game is in fact accurate. Frank's also a phenomenal guy, 366 00:18:07,560 --> 00:18:09,240 Speaker 3: and we're proud to be working with him at Crockett 367 00:18:09,240 --> 00:18:12,280 Speaker 3: Coffee and proud to be working with him and helping 368 00:18:12,320 --> 00:18:16,919 Speaker 3: to raise money to help everyone out there. Like Marine 369 00:18:16,960 --> 00:18:20,480 Speaker 3: Corps Sergeant Adam Mayo served our nation for seven years 370 00:18:20,480 --> 00:18:24,040 Speaker 3: before he was severely injured, left paralyzed from the chest down, 371 00:18:24,520 --> 00:18:28,040 Speaker 3: severely limiting his ability to move around his home. Tunnel 372 00:18:28,080 --> 00:18:31,919 Speaker 3: to Towers paid Sergeant Mayo's mortgage remove the financial burden 373 00:18:31,960 --> 00:18:35,119 Speaker 3: from him and his family. He got a specially adapted 374 00:18:35,200 --> 00:18:39,160 Speaker 3: smart home specifically for him. That's what Tunnel the Towers does. 375 00:18:39,280 --> 00:18:43,040 Speaker 3: They help injured service members, first responders, gold Star families. 376 00:18:43,400 --> 00:18:46,040 Speaker 3: They really make a tremendous difference. And you can join 377 00:18:46,160 --> 00:18:49,200 Speaker 3: us in donating eleven dollars a month to Tunnel to 378 00:18:49,200 --> 00:18:52,600 Speaker 3: the Towers at T two t dot org. That's t 379 00:18:53,080 --> 00:18:56,720 Speaker 3: the number two T dot org. Welcome back into clay Enboch. 380 00:18:56,760 --> 00:19:00,760 Speaker 3: We're joined by Batya Unger Sarga. She is an opinion 381 00:19:00,840 --> 00:19:04,560 Speaker 3: editor at Newsweek. Has a new book out, Second Class, 382 00:19:04,600 --> 00:19:09,760 Speaker 3: How the Elites Betrayed America's working men and women. Batia, 383 00:19:09,800 --> 00:19:10,720 Speaker 3: this is fortunate. 384 00:19:10,760 --> 00:19:13,000 Speaker 1: It's one of those times where the title itself gets 385 00:19:13,000 --> 00:19:16,280 Speaker 1: a whole lot of conversation started I think because people 386 00:19:16,320 --> 00:19:18,760 Speaker 1: recognize that something's gone on. I mean, I could talk 387 00:19:18,840 --> 00:19:21,960 Speaker 1: just about the elite selling out to China and what 388 00:19:22,040 --> 00:19:25,800 Speaker 1: that's done to American manufacturing and workers. But let's let 389 00:19:25,840 --> 00:19:26,960 Speaker 1: you lead us first. 390 00:19:26,960 --> 00:19:27,240 Speaker 2: Here. 391 00:19:27,840 --> 00:19:30,760 Speaker 1: Where should we start? How and why have the elites 392 00:19:30,800 --> 00:19:32,359 Speaker 1: betrayed America's working men and women? 393 00:19:32,840 --> 00:19:34,520 Speaker 7: Well, thank you guys so much for having me. It's 394 00:19:34,560 --> 00:19:37,320 Speaker 7: really thrilling to be here with you. It's music to 395 00:19:37,359 --> 00:19:39,840 Speaker 7: my ears. Dear you say that because I really wanted 396 00:19:39,840 --> 00:19:43,000 Speaker 7: this book to be a conversation starter. There's so much 397 00:19:43,080 --> 00:19:46,639 Speaker 7: in it that I think feels incredibly intuitive, especially to 398 00:19:46,720 --> 00:19:49,359 Speaker 7: working class people or people like you, guys whose lives 399 00:19:49,359 --> 00:19:52,880 Speaker 7: are not totally separate from working class people the way 400 00:19:52,920 --> 00:19:56,840 Speaker 7: that many and the elites are. It's so obvious that 401 00:19:56,880 --> 00:20:00,760 Speaker 7: life has become incredibly difficult for the hardest working Americans. 402 00:20:01,080 --> 00:20:03,160 Speaker 7: So I really wanted to explain how that happened, why 403 00:20:03,200 --> 00:20:04,840 Speaker 7: that happened, and how we fix it. And so I 404 00:20:04,880 --> 00:20:07,720 Speaker 7: traveled around the country for a year, interviewing working class 405 00:20:07,720 --> 00:20:12,359 Speaker 7: people from all political persuasions, all races, lots of different 406 00:20:12,400 --> 00:20:16,160 Speaker 7: industries to get their thoughts on whether they think they 407 00:20:16,240 --> 00:20:19,840 Speaker 7: still have a fair shot at the American dream and 408 00:20:20,200 --> 00:20:23,480 Speaker 7: really how we could increase their shot at the American dream. 409 00:20:23,520 --> 00:20:26,439 Speaker 7: And I heard a lot of them talking about how 410 00:20:26,480 --> 00:20:29,040 Speaker 7: betrayed they feel by the elites. And by the way, 411 00:20:29,080 --> 00:20:32,040 Speaker 7: by the elites, they don't mean billionaires. A lot of 412 00:20:32,080 --> 00:20:35,600 Speaker 7: them admire billionaires. They see billionaires as jobs creators. By 413 00:20:35,640 --> 00:20:40,360 Speaker 7: the elites, they mean that sort of credentialed, college over 414 00:20:40,680 --> 00:20:45,040 Speaker 7: educated elite in the top twenty percent in professional managerial jobs, 415 00:20:45,440 --> 00:20:48,400 Speaker 7: who really, over the course of the last four years, 416 00:20:48,720 --> 00:20:52,040 Speaker 7: have been engaged in a plunder of the middle class, 417 00:20:52,400 --> 00:20:55,480 Speaker 7: an upward transfer of wealth of middle class wages into 418 00:20:55,520 --> 00:20:56,400 Speaker 7: their own pockets. 419 00:20:57,440 --> 00:21:00,399 Speaker 3: Are you optimistic that things are going to get better 420 00:21:00,480 --> 00:21:02,840 Speaker 3: for people who are out there working on a day 421 00:21:02,880 --> 00:21:06,040 Speaker 3: to day basis. I mean, when you look at inflation, 422 00:21:06,359 --> 00:21:08,840 Speaker 3: which has taken a huge bite out of their paychecks 423 00:21:09,800 --> 00:21:12,119 Speaker 3: and all of our paychecks, but in particular when you 424 00:21:12,280 --> 00:21:14,880 Speaker 3: live paycheck to paycheck, it has far more of an impact. 425 00:21:15,320 --> 00:21:19,320 Speaker 3: Are you optimistic that the general trend lines can be 426 00:21:19,600 --> 00:21:23,480 Speaker 3: in their favor or do you think things are perpetually 427 00:21:23,520 --> 00:21:24,560 Speaker 3: aligned against them. 428 00:21:25,240 --> 00:21:27,520 Speaker 7: I'm really curious what you guys think about this. I 429 00:21:27,600 --> 00:21:32,760 Speaker 7: feel totally optimistic. I'll tell you why. We don't remember this, 430 00:21:32,880 --> 00:21:36,119 Speaker 7: but when Trump came into office, there was a handshake 431 00:21:36,240 --> 00:21:39,440 Speaker 7: agreement between the two parties that we should have free 432 00:21:39,520 --> 00:21:42,719 Speaker 7: trade with China. I mean, that was the orthodoxy that 433 00:21:42,800 --> 00:21:46,240 Speaker 7: governed the Democrats and the Republicans at the time. And 434 00:21:46,359 --> 00:21:49,119 Speaker 7: Trump showed up and just took an axe to that 435 00:21:49,240 --> 00:21:52,600 Speaker 7: neoliberal order and said, We're not gonna have free trade 436 00:21:52,600 --> 00:21:55,800 Speaker 7: with China. We're never trade war. And he put these 437 00:21:55,880 --> 00:21:59,040 Speaker 7: tariffs on steal and aluminum, put tariffs on other things, 438 00:21:59,520 --> 00:22:02,960 Speaker 7: really try to write that trade deficit that we had. 439 00:22:03,840 --> 00:22:08,800 Speaker 7: And now he was so successful that President Biden has 440 00:22:08,840 --> 00:22:11,240 Speaker 7: been unable to undo all of that work and has 441 00:22:11,280 --> 00:22:14,040 Speaker 7: actually kept a lot of those tariffs. So if you 442 00:22:14,119 --> 00:22:17,040 Speaker 7: think about how the ship was totally going in one direction, 443 00:22:17,520 --> 00:22:20,520 Speaker 7: and one man could show up with the mandate given 444 00:22:20,520 --> 00:22:23,399 Speaker 7: to him by his voters and totally turn that around 445 00:22:23,680 --> 00:22:27,080 Speaker 7: so much so that his enemy, who undid every other 446 00:22:27,160 --> 00:22:30,240 Speaker 7: good thing he did, could not undo it, I mean 447 00:22:30,240 --> 00:22:34,680 Speaker 7: that makes me feel so optimistic. I mean, on immigration again, 448 00:22:34,840 --> 00:22:37,480 Speaker 7: like it was in the nineties, it was the Democrats 449 00:22:37,520 --> 00:22:39,840 Speaker 7: who wanted to control the border because they wanted to 450 00:22:39,920 --> 00:22:42,399 Speaker 7: protect working class wages, and it was the Republicans who 451 00:22:42,440 --> 00:22:45,080 Speaker 7: wanted to give amnesty to all of these people. Now 452 00:22:45,119 --> 00:22:48,920 Speaker 7: there really is a consensus among working Americans that immigration 453 00:22:49,000 --> 00:22:51,679 Speaker 7: has gone off the charts too much and that we 454 00:22:51,760 --> 00:22:54,200 Speaker 7: really need to stop this. And by the way, that's 455 00:22:54,240 --> 00:22:56,280 Speaker 7: liberals and conservative working class people. 456 00:22:56,720 --> 00:22:58,520 Speaker 1: I just want to note about you, and I think 457 00:22:58,520 --> 00:23:01,600 Speaker 1: this is so important. Trump victory on the trade issue 458 00:23:01,760 --> 00:23:04,200 Speaker 1: came not only against the Democrat opposition to him. They 459 00:23:04,240 --> 00:23:07,160 Speaker 1: just hate anything that Trump does, but even Republicans were 460 00:23:07,160 --> 00:23:11,159 Speaker 1: initially very critical, and he broke with the DC consensus, 461 00:23:11,160 --> 00:23:14,320 Speaker 1: you could say, the Swamp consensus on trade. And the 462 00:23:14,359 --> 00:23:16,560 Speaker 1: people that I know who really study trade like that, 463 00:23:16,600 --> 00:23:19,199 Speaker 1: the trade nerds out there. I would have them on 464 00:23:19,200 --> 00:23:20,760 Speaker 1: and talk to them, and they would point out we 465 00:23:20,760 --> 00:23:22,439 Speaker 1: were already in a trade war. It was just a 466 00:23:22,440 --> 00:23:25,080 Speaker 1: one way trade war, as in China was waging a 467 00:23:25,119 --> 00:23:27,560 Speaker 1: trade war against us, and we were saying, well, let's 468 00:23:27,640 --> 00:23:30,399 Speaker 1: just keep promoting free trade, and it was it was 469 00:23:30,440 --> 00:23:32,600 Speaker 1: an absurdity, and Trump came and stopped that. And I 470 00:23:32,600 --> 00:23:34,560 Speaker 1: appreciate that you make note. You get into that in 471 00:23:34,600 --> 00:23:38,080 Speaker 1: your book Second Class, How the Elites Betrayed America's working 472 00:23:38,160 --> 00:23:40,320 Speaker 1: men and Women. That's the book by Batia hunger. Sargan, 473 00:23:40,680 --> 00:23:44,280 Speaker 1: you mentioned the immigration issue. This is one as one 474 00:23:44,320 --> 00:23:46,560 Speaker 1: of the I think most fascinating and honestly most important 475 00:23:46,560 --> 00:23:48,800 Speaker 1: issues in America today and has been for many years. 476 00:23:48,960 --> 00:23:51,000 Speaker 1: There's more focus on it now than there has been 477 00:23:51,080 --> 00:23:54,479 Speaker 1: a while. But let's break down some of what it 478 00:23:54,520 --> 00:23:58,479 Speaker 1: really means. You mentioned protecting wages. What does it mean 479 00:23:58,520 --> 00:23:59,960 Speaker 1: for the cost of a house? What does it mean 480 00:24:00,119 --> 00:24:02,720 Speaker 1: for wages to have not just a lot of mass 481 00:24:02,760 --> 00:24:06,159 Speaker 1: immigration in general, but now millions upon millions, eight million 482 00:24:06,240 --> 00:24:09,080 Speaker 1: is probably the number for Biden's first term coming into 483 00:24:09,119 --> 00:24:10,560 Speaker 1: the country illegally. 484 00:24:11,520 --> 00:24:15,760 Speaker 7: Yeah, it's a really really important issue. The way that 485 00:24:15,840 --> 00:24:18,960 Speaker 7: I think about it is like this. You know, first, 486 00:24:19,200 --> 00:24:24,239 Speaker 7: they shipped good paying manufacturing jobs overseas to build up 487 00:24:24,359 --> 00:24:27,080 Speaker 7: China and Mexico's middle class. 488 00:24:27,280 --> 00:24:27,480 Speaker 6: Right. 489 00:24:27,680 --> 00:24:30,159 Speaker 7: They took these great jobs, five million of them, and 490 00:24:30,280 --> 00:24:33,240 Speaker 7: just handed them off to our enemies. And then President 491 00:24:33,280 --> 00:24:37,480 Speaker 7: Obama defunded vocational training, cutting off another avenue to the 492 00:24:37,480 --> 00:24:41,119 Speaker 7: American dream for working class people. And then they invite 493 00:24:41,119 --> 00:24:45,320 Speaker 7: it in millions and millions and millions of illegal immigrants 494 00:24:45,640 --> 00:24:47,680 Speaker 7: over the course of the last fifty years. But really, 495 00:24:47,720 --> 00:24:50,720 Speaker 7: like you said, over the last four years, turbocharge to 496 00:24:51,080 --> 00:24:55,159 Speaker 7: undercut further the jobs that remained here. It is so 497 00:24:55,359 --> 00:24:59,359 Speaker 7: crazy to remember that meat packing jobs, those used to 498 00:24:59,400 --> 00:25:02,480 Speaker 7: be the a job to have. There were great wages, 499 00:25:02,800 --> 00:25:07,199 Speaker 7: great benefits, you know, great protections for workers. All of 500 00:25:07,200 --> 00:25:10,159 Speaker 7: that is gone. It is now they employ tons and 501 00:25:10,200 --> 00:25:13,120 Speaker 7: tons of illegal immigrants, which means that it drives down 502 00:25:13,160 --> 00:25:15,840 Speaker 7: the wages. There are no more protections for workers, no 503 00:25:15,960 --> 00:25:21,119 Speaker 7: more benefits. So they then devalued the jobs that remained here. 504 00:25:21,400 --> 00:25:24,359 Speaker 7: And if you objected to that as a working class 505 00:25:24,400 --> 00:25:26,879 Speaker 7: person who was trying to understand, why is it that 506 00:25:27,000 --> 00:25:29,680 Speaker 7: my parents were able to support my family and buy 507 00:25:29,680 --> 00:25:32,240 Speaker 7: a home on a single income and I'm working two 508 00:25:32,320 --> 00:25:34,960 Speaker 7: or three jobs and I can't support my children. You're 509 00:25:34,960 --> 00:25:37,760 Speaker 7: trying to struggle to understand that, and you call it out, 510 00:25:37,960 --> 00:25:40,440 Speaker 7: you get called a racist and smeared as a racist. 511 00:25:40,520 --> 00:25:44,439 Speaker 7: That is the move that the leftist elites do to 512 00:25:44,840 --> 00:25:48,439 Speaker 7: mask their plunder of the working class and the middle class, 513 00:25:48,440 --> 00:25:51,040 Speaker 7: which put money in their pockets, because of course they 514 00:25:51,080 --> 00:25:54,240 Speaker 7: are the people who employ these illegal immigrants. So when 515 00:25:54,240 --> 00:25:57,480 Speaker 7: they open that border and flood these industries, whether it's 516 00:25:57,520 --> 00:26:00,960 Speaker 7: cleaning or landscaping, or meat packing or healthcare, at the 517 00:26:00,960 --> 00:26:03,680 Speaker 7: lower end of that, they flood it with illegal workers. 518 00:26:03,840 --> 00:26:06,440 Speaker 7: Everything's cheaper for them, right, they don't have to pay 519 00:26:06,440 --> 00:26:08,879 Speaker 7: what they would have paid an American worker. And you 520 00:26:08,920 --> 00:26:12,399 Speaker 7: know the proof that this is intentional is listen to 521 00:26:12,960 --> 00:26:17,920 Speaker 7: DHS Secretary Alejandro Majorkis. Every time he has asked about 522 00:26:17,920 --> 00:26:19,560 Speaker 7: the border, and I mean every time. He did it 523 00:26:19,560 --> 00:26:21,840 Speaker 7: again three days ago on Fox News. He's done it 524 00:26:21,880 --> 00:26:24,800 Speaker 7: every time he's been before Congress or the Senate when 525 00:26:24,840 --> 00:26:26,960 Speaker 7: he has asked about the border. What does he say? 526 00:26:27,000 --> 00:26:31,359 Speaker 7: He says, our corporations have jobs they can't fill. He 527 00:26:31,520 --> 00:26:34,840 Speaker 7: thinks his job is not to secure the border, but 528 00:26:34,960 --> 00:26:40,040 Speaker 7: to partner with these murderous cartels in supplying American corporations 529 00:26:40,040 --> 00:26:43,080 Speaker 7: with cheap labor Bodia. 530 00:26:43,119 --> 00:26:46,800 Speaker 3: Based on your travels, we got Trump having his rally 531 00:26:46,960 --> 00:26:49,439 Speaker 3: in the South Bronx here in a few hours. The 532 00:26:49,560 --> 00:26:52,480 Speaker 3: data out there is reflecting that in particular for men, 533 00:26:52,640 --> 00:26:57,280 Speaker 3: but also for women. But men out there, way journers, black, white, 534 00:26:57,359 --> 00:27:01,200 Speaker 3: Asian and Hispanic are overwhelmingly moved moving towards Trump. 535 00:27:01,600 --> 00:27:02,600 Speaker 2: Does that surprise you? 536 00:27:02,640 --> 00:27:06,080 Speaker 3: Do you think the Republican Party actually has way more 537 00:27:06,160 --> 00:27:10,680 Speaker 3: support among minority voters out there that are wage earners 538 00:27:10,960 --> 00:27:12,840 Speaker 3: than maybe they've realized historically. 539 00:27:13,640 --> 00:27:16,679 Speaker 7: I wouldn't say it's the Republican Party because I found 540 00:27:16,680 --> 00:27:19,480 Speaker 7: in my travels that, you know, there's one thing working 541 00:27:19,520 --> 00:27:22,520 Speaker 7: class conservatives hate more than the Democratic Party, and it's 542 00:27:22,560 --> 00:27:25,280 Speaker 7: the Republican Party. They really hate the GOP as it 543 00:27:25,359 --> 00:27:28,240 Speaker 7: was embodied by someone like Nikki Haley, the kind of 544 00:27:28,320 --> 00:27:32,600 Speaker 7: free trade, foreign entanglements, foreign wars version of the party, 545 00:27:32,600 --> 00:27:35,320 Speaker 7: the Chamber of Commerce version. They are defecting from the 546 00:27:35,320 --> 00:27:39,160 Speaker 7: Democratic Party for Trump. He's really running like a third 547 00:27:39,160 --> 00:27:42,560 Speaker 7: party candidate, is what he's done, and as an incumbent 548 00:27:42,640 --> 00:27:45,440 Speaker 7: because he has that record. And I'll tell you something funny. 549 00:27:45,480 --> 00:27:47,440 Speaker 7: When I was reporting my book, I was traveling around 550 00:27:47,440 --> 00:27:49,960 Speaker 7: the country interviewing working class people and you know, many 551 00:27:49,960 --> 00:27:54,359 Speaker 7: different communities. I didn't find a single black man who 552 00:27:54,480 --> 00:27:57,280 Speaker 7: was planning to vote for Biden. And I said to myself, girl, 553 00:27:57,359 --> 00:28:01,320 Speaker 7: something's off, Like your selection by is off, like you're 554 00:28:01,640 --> 00:28:05,040 Speaker 7: you know, hand picking people, cherry picking. It wasn't until 555 00:28:05,080 --> 00:28:07,080 Speaker 7: you know, a year later that I started to see 556 00:28:07,080 --> 00:28:10,560 Speaker 7: the polling where he was really surging with black men 557 00:28:10,920 --> 00:28:14,119 Speaker 7: who feel totally sold out by the kind of feminized 558 00:28:14,200 --> 00:28:17,159 Speaker 7: version of the Democratic Party. That puts a total premium 559 00:28:17,200 --> 00:28:21,080 Speaker 7: out of college education, that welcomed in millions and millions 560 00:28:21,080 --> 00:28:23,480 Speaker 7: of people to compete for that with them for working 561 00:28:23,480 --> 00:28:25,320 Speaker 7: class jobs, and sold out their future. 562 00:28:26,760 --> 00:28:31,080 Speaker 1: The boot out by Batia Hunger Stargan is fantastic. Highly 563 00:28:31,080 --> 00:28:34,440 Speaker 1: recommend you get a copy second Class How the elites 564 00:28:34,480 --> 00:28:39,120 Speaker 1: betrayed America's working men and women. Batya, that was really fascinating. 565 00:28:39,160 --> 00:28:39,960 Speaker 1: Please come back soon. 566 00:28:40,160 --> 00:28:43,440 Speaker 7: Thank you so much, God bless you guys. 567 00:28:43,480 --> 00:28:46,160 Speaker 3: Going to be interesting to see the numbers that support 568 00:28:46,640 --> 00:28:50,080 Speaker 3: the arguments that she's making there, whether they truly translate 569 00:28:50,120 --> 00:28:52,640 Speaker 3: in twenty twenty four. If they do, I think it 570 00:28:52,720 --> 00:28:56,160 Speaker 3: is going to be a seismic shift in the way 571 00:28:56,200 --> 00:28:57,800 Speaker 3: that politics are talked about in this country. 572 00:28:57,800 --> 00:28:58,600 Speaker 2: In a very good way. 573 00:28:59,200 --> 00:29:02,040 Speaker 3: We just talked about the challenges with all the expenses 574 00:29:02,080 --> 00:29:04,960 Speaker 3: and all the responsibilities of being a homeowner in America 575 00:29:05,000 --> 00:29:07,960 Speaker 3: based on what you can earn in so many different jobs. 576 00:29:07,960 --> 00:29:10,520 Speaker 3: Got a yard full of trees, You've likely had rain 577 00:29:10,600 --> 00:29:14,080 Speaker 3: gutter cleaning dilemma. I keep talking about this. I just 578 00:29:14,120 --> 00:29:17,440 Speaker 3: went downstairs. My boys are getting out of school today. Yes, 579 00:29:18,160 --> 00:29:22,040 Speaker 3: summer starts now in the Travis household. And you know what, 580 00:29:22,040 --> 00:29:24,800 Speaker 3: one of my sons already doing. He's in the backyard 581 00:29:25,040 --> 00:29:28,880 Speaker 3: practicing his wiffleball pitching. He's I'm gonna go play wiffleball 582 00:29:28,920 --> 00:29:32,560 Speaker 3: with some of his buddies today. He's working on his wiffleball, 583 00:29:32,680 --> 00:29:36,240 Speaker 3: making the ball move correctly so he can get a strikeout. 584 00:29:37,000 --> 00:29:39,719 Speaker 3: And also that means there's gonna be more woffle balls 585 00:29:39,720 --> 00:29:42,440 Speaker 3: in my gutters, which is what I inevitably have to 586 00:29:42,440 --> 00:29:45,160 Speaker 3: be pulling out foul balls going right back into the 587 00:29:45,160 --> 00:29:48,120 Speaker 3: gutter or the Travis household, and as a result, everything 588 00:29:48,160 --> 00:29:49,120 Speaker 3: gets piled up. 589 00:29:49,400 --> 00:29:51,680 Speaker 2: Leaves also water. 590 00:29:51,840 --> 00:29:53,880 Speaker 3: We have big storms like we do frequently during the 591 00:29:53,880 --> 00:29:57,800 Speaker 3: spring and the summer, it comes pouring over sometimes coming 592 00:29:57,840 --> 00:30:01,200 Speaker 3: out where the gutters are not and you need to 593 00:30:01,240 --> 00:30:04,200 Speaker 3: protect your home and never clean out your gutters with 594 00:30:04,400 --> 00:30:06,720 Speaker 3: leaf filter. I've got them coming to my house. They'll 595 00:30:06,720 --> 00:30:08,520 Speaker 3: come to your house as well. You can get a 596 00:30:08,560 --> 00:30:12,640 Speaker 3: free inspection twenty percent off the entire purchase at leaffilter 597 00:30:12,800 --> 00:30:17,480 Speaker 3: dot com slash Clay and Buck. Also an additional ten 598 00:30:17,560 --> 00:30:22,200 Speaker 3: percent off if you're a senior or military discount that 599 00:30:22,320 --> 00:30:26,160 Speaker 3: means up to thirty percent off leaffilter dot com slash Clayan, 600 00:30:26,280 --> 00:30:31,440 Speaker 3: Buck that website l eaf filter dot com slash Clayan 601 00:30:31,560 --> 00:30:34,920 Speaker 3: Buck get hooked up today up to thirty percent off, 602 00:30:35,360 --> 00:30:39,200 Speaker 3: just in time for spring and summer. Leaffilter dot com. 603 00:30:39,280 --> 00:30:40,440 Speaker 3: Clay and Buck. 604 00:30:41,080 --> 00:30:43,760 Speaker 6: You know them as conservative radio hosts. 605 00:30:43,880 --> 00:30:46,560 Speaker 2: Now just get to know them as guys. 606 00:30:46,440 --> 00:30:49,560 Speaker 6: On the Sunday Hang podcast with Clay and Buck. 607 00:30:49,840 --> 00:30:52,880 Speaker 3: Find it in their podcast feed on the iHeartRadio app 608 00:30:53,000 --> 00:30:54,840 Speaker 3: or wherever you get your podcast. 609 00:30:55,480 --> 00:30:58,400 Speaker 1: Welcome back in Clay and Buck here reminding you all 610 00:30:58,480 --> 00:31:00,440 Speaker 1: to subscribe to the Clay on Buck podcast, which is 611 00:31:00,440 --> 00:31:02,440 Speaker 1: phenomenal because you're like, wait, I listen to you guys 612 00:31:02,440 --> 00:31:04,720 Speaker 1: for three hours already, Maybe I need more. I don't 613 00:31:04,720 --> 00:31:05,960 Speaker 1: know how many of you're saying that. Some of you're 614 00:31:05,960 --> 00:31:09,120 Speaker 1: saying it, though, but even if you're not saying that specifically, 615 00:31:09,160 --> 00:31:13,520 Speaker 1: You've got the Carol Markowitz Show. You've got Sean Parnell, 616 00:31:13,720 --> 00:31:16,600 Speaker 1: You've got Lisa Booth, You've got. 617 00:31:16,360 --> 00:31:18,800 Speaker 2: Who am I missing? Tutor Dixon, who we love? 618 00:31:19,120 --> 00:31:21,000 Speaker 1: Yeah, soon a huge show, by the way, I mean 619 00:31:21,040 --> 00:31:24,320 Speaker 1: big audience for that show already, so sorry. Is what 620 00:31:24,320 --> 00:31:25,480 Speaker 1: happens when you go for a memory, You know, I 621 00:31:25,480 --> 00:31:27,560 Speaker 1: feel like the guy at the Oscars. You're like tanks 622 00:31:27,600 --> 00:31:29,440 Speaker 1: everybody but his wife whatever, who did that? 623 00:31:29,440 --> 00:31:30,280 Speaker 2: It was a long time ago. 624 00:31:30,600 --> 00:31:32,520 Speaker 1: Yeah, that's a rough spot to be in. I would 625 00:31:32,560 --> 00:31:34,560 Speaker 1: imagine that's not how you want to go at your 626 00:31:34,560 --> 00:31:39,000 Speaker 1: oscar speech. But please do subscribe. Download the iHeart Radio 627 00:31:39,280 --> 00:31:42,480 Speaker 1: app and check out Clay and Buck there. Also I 628 00:31:42,520 --> 00:31:45,920 Speaker 1: do a Buck Brief, which is like a short short 629 00:31:45,960 --> 00:31:48,120 Speaker 1: form podcast, usually either with a guest or just a 630 00:31:48,160 --> 00:31:50,920 Speaker 1: quick mono. You can check it out there and subscribe 631 00:31:50,920 --> 00:31:54,320 Speaker 1: to Crockett Coffee Crocket Coffee dot com. It's absolutely delicious. 632 00:31:54,320 --> 00:31:56,520 Speaker 1: We got some calls here. I wanted to get you 633 00:31:56,760 --> 00:32:00,640 Speaker 1: Ray in Iowa. It's got some k Hey, I'm assuming 634 00:32:00,640 --> 00:32:03,560 Speaker 1: you're talking Caitlin Clark here. You must be in Iowa Hawkeyes. 635 00:32:03,960 --> 00:32:08,760 Speaker 8: Yeah, absolutely good show. Guys, really enjoy it. Hey, A 636 00:32:08,840 --> 00:32:15,200 Speaker 8: thing about Caitlin Clark did yeah, okay, go ahead. Thing 637 00:32:15,240 --> 00:32:17,920 Speaker 8: about Caitlin Clark is, not only does she have all 638 00:32:17,960 --> 00:32:22,080 Speaker 8: the earned accolades on court, she's a great ambassador for 639 00:32:22,120 --> 00:32:25,600 Speaker 8: the young people. She's always crossing over the security lines, 640 00:32:25,920 --> 00:32:29,120 Speaker 8: signing autographs, taking selfies for all the young people and 641 00:32:29,280 --> 00:32:30,600 Speaker 8: encouraging would be better than her. 642 00:32:31,320 --> 00:32:32,920 Speaker 2: Yeah, thank you for the call. 643 00:32:32,960 --> 00:32:36,880 Speaker 3: I know she's incredibly popular in Iowa as well she 644 00:32:36,920 --> 00:32:40,000 Speaker 3: should be, and so far has stayed out of any 645 00:32:40,080 --> 00:32:45,640 Speaker 3: kind of scandal, which is crazily not necessarily common all 646 00:32:45,680 --> 00:32:48,800 Speaker 3: the time in young people who become famous. 647 00:32:48,880 --> 00:32:52,040 Speaker 2: Elizabeth in Arizona fire Away. 648 00:32:53,640 --> 00:32:56,960 Speaker 4: Yeah, Hey, I'm a pot about Harrison Bucker, And I 649 00:32:57,000 --> 00:32:59,120 Speaker 4: don't see what the problem is with his speech. It 650 00:32:59,200 --> 00:33:02,640 Speaker 4: was totally a to the audience of a Catholic university. 651 00:33:03,280 --> 00:33:07,160 Speaker 4: That's why most people are there for traditional values. And 652 00:33:07,200 --> 00:33:09,760 Speaker 4: he wasn't there on behalf of the Kansas City Chiefs 653 00:33:09,920 --> 00:33:12,760 Speaker 4: or the NFL, So I don't know what their problem 654 00:33:12,880 --> 00:33:16,320 Speaker 4: is as opposed to Colin Kepernick, who basically had get 655 00:33:16,360 --> 00:33:18,720 Speaker 4: it on field and in uniform. 656 00:33:19,240 --> 00:33:24,000 Speaker 3: Yeah, you're I second everything that you said. I do 657 00:33:24,120 --> 00:33:28,480 Speaker 3: believe that the way that Andy Reid, Roger Goodell, and 658 00:33:28,600 --> 00:33:33,160 Speaker 3: Patrick Mahomes responded to this is starting to represent a 659 00:33:33,280 --> 00:33:38,760 Speaker 3: significant cultural shift where hey, we don't all have to agree, 660 00:33:39,400 --> 00:33:43,000 Speaker 3: and that doesn't mean that you have to believe. Remember 661 00:33:43,080 --> 00:33:45,880 Speaker 3: what they've been doing for a long time. It's not saying, hey, 662 00:33:46,080 --> 00:33:49,320 Speaker 3: everybody's open to their ideas. It's what that sports writer 663 00:33:49,480 --> 00:33:52,280 Speaker 3: tried to do when he asked Andy Reid, what would 664 00:33:52,320 --> 00:33:55,440 Speaker 3: you say to all the women who feel insulted, basically 665 00:33:55,480 --> 00:33:59,160 Speaker 3: who work inside of the Kansas City Chiefs organization. And 666 00:33:59,160 --> 00:34:03,120 Speaker 3: Andy Reid just shot him down. We've let guys like 667 00:34:03,280 --> 00:34:07,800 Speaker 3: that dictate far too many of the conversations that we 668 00:34:07,920 --> 00:34:11,680 Speaker 3: have in this nation. And I think we're finally starting 669 00:34:11,680 --> 00:34:14,560 Speaker 3: to come through what I would call the woke virus 670 00:34:14,719 --> 00:34:18,879 Speaker 3: and develop some antibodies to it. Natural immunity is a thing, 671 00:34:19,080 --> 00:34:21,239 Speaker 3: doctor Fauci, which we need to talk about. Maybe not 672 00:34:21,360 --> 00:34:25,440 Speaker 3: till next week, Buck, but doctor Fauci evidently had a 673 00:34:25,480 --> 00:34:30,280 Speaker 3: private burner Gmail account that he used to avoid Freedom 674 00:34:30,320 --> 00:34:35,880 Speaker 3: of Information Act requests and also to communicate potentially controversial 675 00:34:35,960 --> 00:34:40,719 Speaker 3: things that otherwise would have been discoverable based on the 676 00:34:40,760 --> 00:34:43,560 Speaker 3: fact that he was the highest paid employee in the 677 00:34:43,719 --> 00:34:49,480 Speaker 3: entire federal government. Nancy in Massachusetts, let her finish off. Nancy, 678 00:34:49,760 --> 00:34:54,720 Speaker 3: your people, your state. They love Joe Biden seventy to thirty. 679 00:34:56,280 --> 00:34:58,080 Speaker 2: And the Pats not. 680 00:34:58,239 --> 00:35:01,520 Speaker 9: Yeah, the Pats. I live in Chucksow the past. Anyhow, 681 00:35:02,280 --> 00:35:06,080 Speaker 9: I just yesterday saw an F Biden flag flying over 682 00:35:06,280 --> 00:35:09,520 Speaker 9: Major Highway bridge right near my house. I think it's 683 00:35:09,520 --> 00:35:11,719 Speaker 9: going to be closer than the seventy thirty that you're 684 00:35:11,760 --> 00:35:15,080 Speaker 9: talking about. Remember, we've got Maura Healy and she's shown 685 00:35:15,120 --> 00:35:17,160 Speaker 9: the true colors of putting all the migrants in the 686 00:35:17,200 --> 00:35:21,400 Speaker 9: hotel all around us. People are not happy, so we 687 00:35:21,560 --> 00:35:24,759 Speaker 9: and we also elected Charlie Baker and Nick Romney in 688 00:35:24,800 --> 00:35:27,879 Speaker 9: the past, so we have a shot in Massachusetts. I'm 689 00:35:28,080 --> 00:35:29,120 Speaker 9: cheering people. 690 00:35:28,840 --> 00:35:30,120 Speaker 2: On in Nancy. 691 00:35:32,120 --> 00:35:38,360 Speaker 3: If you're wrong, and Massachusetts is the strongest Joe Biden 692 00:35:38,480 --> 00:35:43,240 Speaker 3: voting state in the nation, don't you feel like Massachusett 693 00:35:43,400 --> 00:35:45,000 Speaker 3: it's in I don't even know if I said that, 694 00:35:45,120 --> 00:35:48,400 Speaker 3: right who support Trump have to move. I don't know 695 00:35:48,440 --> 00:35:50,760 Speaker 3: how you can be surrounded by that many dumb people. 696 00:35:51,440 --> 00:35:54,719 Speaker 9: Yeah, no, you're right. There's total low information voters in 697 00:35:54,760 --> 00:35:57,719 Speaker 9: this state that have voted like you know Democrats their 698 00:35:57,760 --> 00:36:01,120 Speaker 9: whole life. But there is a battle between the elites 699 00:36:01,280 --> 00:36:04,239 Speaker 9: of the you know, universities in the Boston area and 700 00:36:04,360 --> 00:36:08,359 Speaker 9: the blue collar like the union Democrats, that old traditional ones, 701 00:36:08,400 --> 00:36:11,400 Speaker 9: and there's a battle going on there. So I don't know. 702 00:36:11,640 --> 00:36:13,880 Speaker 9: I mean, it could be like when Nixon, when this 703 00:36:13,960 --> 00:36:16,120 Speaker 9: is the only state that didn't vote for Nixon. It 704 00:36:16,160 --> 00:36:19,080 Speaker 9: could be like that. But I have to say that 705 00:36:19,160 --> 00:36:23,200 Speaker 9: there are a lot of people not happy especially the economy. 706 00:36:23,239 --> 00:36:26,440 Speaker 9: The economy is really hitting us, so I don't know. 707 00:36:26,560 --> 00:36:28,120 Speaker 9: We got a shot at it. We're going to keep 708 00:36:28,160 --> 00:36:31,080 Speaker 9: working at it. But the state politics in massachuse that's 709 00:36:31,160 --> 00:36:34,879 Speaker 9: the Republican Party has not traditionally done a really great 710 00:36:34,960 --> 00:36:38,479 Speaker 9: job in the state. But I don't know, it could 711 00:36:38,480 --> 00:36:39,640 Speaker 9: be turning around. Who knows. 712 00:36:39,800 --> 00:36:43,040 Speaker 3: But sorry to cut you off, Nancy. We're finishing up 713 00:36:43,080 --> 00:36:46,440 Speaker 3: by the way. Monster crowds starting to assemble. I'm seeing 714 00:36:46,440 --> 00:36:47,880 Speaker 3: some videos in the Bronx 715 00:36:48,000 --> 00:36:51,000 Speaker 1: Rocks Trump in the Bronx, probably amazing.