1 00:00:00,480 --> 00:00:04,080 Speaker 1: Welcome back in hour number two Clay Travis Buck Sexton Show. 2 00:00:04,080 --> 00:00:06,600 Speaker 1: Appreciate all of you hanging out with us as we 3 00:00:06,640 --> 00:00:12,600 Speaker 1: are rolling through the program. Here and Buck, yesterday, had 4 00:00:12,640 --> 00:00:16,000 Speaker 1: a great dinner with your mom and dad. Thank you, 5 00:00:16,000 --> 00:00:20,520 Speaker 1: your nephew three year old. Fun, a lot of energy, 6 00:00:20,640 --> 00:00:23,239 Speaker 1: a lot of energy minute. I walked in and wanted 7 00:00:23,280 --> 00:00:26,079 Speaker 1: to wrestle Big WWE fan. It was a lot of 8 00:00:26,079 --> 00:00:31,200 Speaker 1: fun hanging out yesterday. Went to CBS in your old neighborhood, 9 00:00:31,280 --> 00:00:34,960 Speaker 1: New York Times Square. Everything is under lock and key. 10 00:00:35,159 --> 00:00:37,879 Speaker 1: I just can't believe that this is how people in 11 00:00:38,000 --> 00:00:41,760 Speaker 1: cities live now, that you go to a drug store 12 00:00:41,800 --> 00:00:44,320 Speaker 1: to just buy like toothpaste, yep, and you have to 13 00:00:44,400 --> 00:00:47,880 Speaker 1: ask somebody to get it out of the container for you. 14 00:00:47,880 --> 00:00:50,120 Speaker 2: You had to follow me around the store. I had 15 00:00:50,159 --> 00:00:51,880 Speaker 2: to get a toothbrush, toothpaste, had a couple of things 16 00:00:51,880 --> 00:00:54,880 Speaker 2: that I had left behind, and like five different things, 17 00:00:54,880 --> 00:00:56,600 Speaker 2: and he had to walk with me to each section 18 00:00:56,680 --> 00:00:58,280 Speaker 2: of the store to open the glass case. 19 00:00:58,680 --> 00:01:01,440 Speaker 1: I bought the Sunday New York Times and the Sunday 20 00:01:01,480 --> 00:01:05,679 Speaker 1: New York Post. And I got back home after dinner 21 00:01:05,720 --> 00:01:07,600 Speaker 1: and I sat down, I'm like, okay, I want to read. 22 00:01:08,240 --> 00:01:11,200 Speaker 1: And you know Kamala is in trouble when there is 23 00:01:11,240 --> 00:01:16,520 Speaker 1: a front page story about her struggles with black voters. 24 00:01:16,600 --> 00:01:20,800 Speaker 1: And this is a huge deal that is not going 25 00:01:20,880 --> 00:01:27,400 Speaker 1: away black voters on the presidential candidates we are talking 26 00:01:27,400 --> 00:01:31,880 Speaker 1: about right now, Trump getting the largest measure of support 27 00:01:31,959 --> 00:01:37,760 Speaker 1: for black voters of any Republican since nineteen sixty that 28 00:01:37,880 --> 00:01:43,039 Speaker 1: is Nixon versus Kennedy in the pre civil rights era. 29 00:01:43,760 --> 00:01:47,320 Speaker 1: Was the last time that a Republican candidate is poised 30 00:01:47,319 --> 00:01:51,040 Speaker 1: to get this much of the vote buck for men. Remember, 31 00:01:51,080 --> 00:01:53,639 Speaker 1: I've got to bet we talked about for a while 32 00:01:53,720 --> 00:01:57,880 Speaker 1: that I thought that black men would go for Trump 33 00:01:57,960 --> 00:02:00,880 Speaker 1: over Biden back in the day. But I still think 34 00:02:00,920 --> 00:02:04,280 Speaker 1: it's gonna happen for Kamala too. That twenty five percent 35 00:02:04,320 --> 00:02:07,720 Speaker 1: of Black men would be voting for Trump. According to 36 00:02:07,760 --> 00:02:11,840 Speaker 1: the New York Times own front page story yesterday, black 37 00:02:11,919 --> 00:02:18,280 Speaker 1: men seventy percent, Kamala twenty percent, Trump, ten percent undecided. 38 00:02:18,400 --> 00:02:22,880 Speaker 1: Don't know, So that number is definitely in play for 39 00:02:23,200 --> 00:02:27,600 Speaker 1: black women up to twelve percent. And this is a 40 00:02:27,760 --> 00:02:33,040 Speaker 1: disaster relative to what they supported Joe Biden by because 41 00:02:33,040 --> 00:02:36,480 Speaker 1: it was ninety ten basically, and right now Trump is 42 00:02:36,520 --> 00:02:38,640 Speaker 1: cutting into that in a big way. And you know 43 00:02:39,440 --> 00:02:42,880 Speaker 1: this is a problem for Kamala's campaign when you are 44 00:02:42,960 --> 00:02:47,280 Speaker 1: focused on black mail support three weeks before the election, 45 00:02:47,840 --> 00:02:52,399 Speaker 1: such that you have Barack Obama out lecturing people and saying, hey, 46 00:02:52,440 --> 00:02:55,760 Speaker 1: I think it's misogyny. I think it's sexism for black 47 00:02:55,800 --> 00:02:58,160 Speaker 1: men not to vote for Kamala. And now you got 48 00:02:58,240 --> 00:03:02,720 Speaker 1: James clyburn who was the South Carolina Democrat who basically 49 00:03:02,760 --> 00:03:05,840 Speaker 1: said Biden's the guy, He's going to be the nominee 50 00:03:06,080 --> 00:03:08,720 Speaker 1: and we're going to ride him to victory coming out 51 00:03:08,760 --> 00:03:11,880 Speaker 1: and saying, you know what, I think Kamala has issues 52 00:03:11,960 --> 00:03:15,600 Speaker 1: with black men. This is devastating to her campaign. Let's 53 00:03:15,600 --> 00:03:16,320 Speaker 1: play that cut. 54 00:03:16,560 --> 00:03:19,280 Speaker 3: Yes, I am concerned about black men's stay at home 55 00:03:19,880 --> 00:03:22,919 Speaker 3: or voted for Trump. Black Men, like everybody else, want 56 00:03:22,919 --> 00:03:28,160 Speaker 3: to know exactly what I can expect from Harris administration. 57 00:03:29,480 --> 00:03:34,200 Speaker 1: Okay, that's Clyburne. We also have I believe the audio 58 00:03:34,320 --> 00:03:38,880 Speaker 1: of Harry Inton, who is the data guru at what 59 00:03:39,120 --> 00:03:43,000 Speaker 1: NBC right, I believe, MSNBC, CNN. I can't remember all 60 00:03:43,040 --> 00:03:43,760 Speaker 1: these guys work. 61 00:03:44,000 --> 00:03:45,760 Speaker 2: Harry Angine CNN, Harry. 62 00:03:45,440 --> 00:03:49,440 Speaker 1: Inton at CNN saying again, this is on CNN. What 63 00:03:49,560 --> 00:03:53,800 Speaker 1: I just told you that Trump is trending towards the 64 00:03:53,840 --> 00:03:57,800 Speaker 1: most black support of any Republican since nineteen sixty. 65 00:03:58,000 --> 00:04:01,160 Speaker 2: Here is that clip. Oh we don't have it yet. Sorry. 66 00:04:01,440 --> 00:04:03,280 Speaker 1: I thought we had it on cut thirty three. Maybe 67 00:04:03,280 --> 00:04:05,840 Speaker 1: it's not up yet, But this is something that buck 68 00:04:06,040 --> 00:04:11,760 Speaker 1: is widely discussed right now, not only among everybody out 69 00:04:11,760 --> 00:04:15,760 Speaker 1: there in sort of the James Clyburn Barack Obama era, 70 00:04:16,160 --> 00:04:20,320 Speaker 1: but the numbers across the board are overwhelmingly showing Kamala 71 00:04:20,360 --> 00:04:21,200 Speaker 1: is struggling with life. 72 00:04:21,279 --> 00:04:25,240 Speaker 2: So here's here's a question. Again. I'm not trying to 73 00:04:25,279 --> 00:04:27,080 Speaker 2: be like, you know, Brett Baar doesn't need art and 74 00:04:27,080 --> 00:04:29,400 Speaker 2: doesn't need my help. He can hit us. But if 75 00:04:29,440 --> 00:04:31,880 Speaker 2: I were to be in the Brett chair on this 76 00:04:32,000 --> 00:04:34,640 Speaker 2: issue of the of the black vote, and particularly the 77 00:04:34,720 --> 00:04:39,440 Speaker 2: male black vote in America, I would just say, what 78 00:04:39,720 --> 00:04:45,800 Speaker 2: has the Biden administration delivered for black voters? And what 79 00:04:45,880 --> 00:04:50,360 Speaker 2: would you deliver for black voters? Kamala Harris. Now I 80 00:04:50,400 --> 00:04:52,880 Speaker 2: know the second question. She would actually answer that right. 81 00:04:52,920 --> 00:04:55,760 Speaker 2: She would say, you know, an opportunity economy or you 82 00:04:55,760 --> 00:04:58,920 Speaker 2: know whatever. She'd have some canned phrase that sounds good 83 00:04:58,960 --> 00:05:01,920 Speaker 2: to sounds good to focus groups, whatever. But the first 84 00:05:01,920 --> 00:05:04,800 Speaker 2: part of that is where I think she actually has 85 00:05:05,040 --> 00:05:08,520 Speaker 2: no real answer, and part of what the Democrats don't 86 00:05:08,560 --> 00:05:11,359 Speaker 2: want to admit, and you hear more and more of 87 00:05:11,400 --> 00:05:18,599 Speaker 2: this is black Americans, Latino Americans, well, all Americans, but 88 00:05:18,640 --> 00:05:23,240 Speaker 2: black and Latino Americans specifically recognize that there has been 89 00:05:23,360 --> 00:05:29,200 Speaker 2: an enormous move toward giving resources, time, and attention to 90 00:05:29,360 --> 00:05:33,720 Speaker 2: migrants from the Democrat Party. And I know that they 91 00:05:33,720 --> 00:05:35,440 Speaker 2: would say, oh, but we can walk in chew gum. 92 00:05:35,480 --> 00:05:38,440 Speaker 2: At the same time, it's not as zero sum game. Actually, 93 00:05:38,520 --> 00:05:41,920 Speaker 2: when you let ten million people into the country, all 94 00:05:41,960 --> 00:05:44,560 Speaker 2: of whom need housing and are getting it, all of 95 00:05:44,600 --> 00:05:47,640 Speaker 2: whom need government resources, food, medical care, et cetera, and 96 00:05:47,680 --> 00:05:53,240 Speaker 2: are getting it, people who are Americans have an understandable 97 00:05:54,200 --> 00:05:57,960 Speaker 2: concern and even frustration with Hold on a second, what 98 00:05:58,160 --> 00:06:01,279 Speaker 2: is being done for me. I'm showing up to my 99 00:06:01,760 --> 00:06:05,760 Speaker 2: legal minimum wage job trying to get ahead. I'm trying 100 00:06:05,800 --> 00:06:08,640 Speaker 2: to get to a safer neighborhood than the one I 101 00:06:08,720 --> 00:06:12,400 Speaker 2: currently live in, and migrants are staying in four star hotels. 102 00:06:12,400 --> 00:06:13,840 Speaker 2: And by the way, I brought this up on mar 103 00:06:14,520 --> 00:06:17,599 Speaker 2: the table doesn't like this one. But you know, especially 104 00:06:17,680 --> 00:06:20,520 Speaker 2: like young black guys who are looking to have, you know, 105 00:06:20,560 --> 00:06:23,919 Speaker 2: the same upward economic mobility as every other American and 106 00:06:23,960 --> 00:06:26,680 Speaker 2: want to build security for themselves and want to have 107 00:06:26,800 --> 00:06:29,440 Speaker 2: good lots. They're looking around there like the god. Think 108 00:06:29,440 --> 00:06:31,760 Speaker 2: of the amount of time the Democrat Party has focused 109 00:06:31,800 --> 00:06:36,039 Speaker 2: on non Americans versus Black Americans under Joe Biden on 110 00:06:36,320 --> 00:06:38,400 Speaker 2: you know, the undocumented as they call them. 111 00:06:38,560 --> 00:06:40,480 Speaker 1: It's also the case. And this is why I thought 112 00:06:40,520 --> 00:06:42,680 Speaker 1: the discussion you guys had on Bill Maher about toxic 113 00:06:42,720 --> 00:06:47,800 Speaker 1: masculinity was so interesting. Initially they were able to define 114 00:06:47,880 --> 00:06:51,400 Speaker 1: masculinity as particularly toxic because it was white male based, 115 00:06:51,800 --> 00:06:54,400 Speaker 1: but they have gone so over the top right. Initially, 116 00:06:54,440 --> 00:06:57,760 Speaker 1: the identity politics was a white man or evil. That 117 00:06:57,839 --> 00:07:01,680 Speaker 1: was kind of the Brett Kavanaugh was, Oh, it's not 118 00:07:01,920 --> 00:07:04,760 Speaker 1: only that he's accused of this, it's that all these 119 00:07:04,800 --> 00:07:07,440 Speaker 1: white men are evil. And then what happened. You had 120 00:07:07,440 --> 00:07:10,920 Speaker 1: the Bill Cosby's, You've got the UH, the Sean Combs, 121 00:07:11,000 --> 00:07:13,480 Speaker 1: the R. Kelly's, a lot of guys who were also 122 00:07:13,560 --> 00:07:17,360 Speaker 1: in positions of prominence. It wasn't just Less Moonvez and 123 00:07:17,480 --> 00:07:20,280 Speaker 1: UH and and the UH. The universe out there of 124 00:07:20,320 --> 00:07:22,440 Speaker 1: white men in power. Donald Trump, who they tried to 125 00:07:22,440 --> 00:07:25,920 Speaker 1: tie it into It's then grown into a larger attack 126 00:07:26,080 --> 00:07:28,360 Speaker 1: on men in general, and a lot of black men, 127 00:07:28,520 --> 00:07:30,880 Speaker 1: Hispanic men, Asian men are looking around like, I don't 128 00:07:30,880 --> 00:07:31,880 Speaker 1: think men are the problems. 129 00:07:31,960 --> 00:07:33,800 Speaker 2: Again, on the merits, and first of all, I did 130 00:07:33,840 --> 00:07:36,920 Speaker 2: get a fair amount of criticism, uh from some people 131 00:07:36,960 --> 00:07:39,760 Speaker 2: saying why didn't you because because because of Bill Maher, 132 00:07:39,840 --> 00:07:41,640 Speaker 2: I was actually shocked. He said, you know, it wasn't 133 00:07:42,000 --> 00:07:44,960 Speaker 2: uh the he said that the Kamala husband what's his name, 134 00:07:45,040 --> 00:07:50,200 Speaker 2: Doug Emhoff accusations aren't credible like the U Kavanaugh ones were. 135 00:07:50,440 --> 00:07:53,560 Speaker 2: Everyone who knows me knows I I was all in 136 00:07:53,880 --> 00:07:56,800 Speaker 2: from day one on this Kavanaugh thing as a hatchet job. 137 00:07:57,360 --> 00:07:59,560 Speaker 2: But I had I had to talk about the m 138 00:07:59,560 --> 00:08:01,360 Speaker 2: Hoff thing because I was And I didn't have the 139 00:08:01,400 --> 00:08:03,280 Speaker 2: time to get back to the Kavanaugh thing because they 140 00:08:03,280 --> 00:08:06,000 Speaker 2: started talking over me. You know, I can't just silence 141 00:08:06,040 --> 00:08:08,360 Speaker 2: their mics and shut everyone else down, So trust me, 142 00:08:08,480 --> 00:08:10,720 Speaker 2: I want If I had more time, I would have 143 00:08:10,760 --> 00:08:13,320 Speaker 2: gone back to the Kavanaugh thing. But on the merits 144 00:08:13,360 --> 00:08:15,960 Speaker 2: of the debate over it's not just masculinity in some 145 00:08:16,360 --> 00:08:21,360 Speaker 2: it's why are masculine men fleeing the Democrat Party, and 146 00:08:21,440 --> 00:08:23,440 Speaker 2: all the data shows it, and it shows it for 147 00:08:23,520 --> 00:08:27,040 Speaker 2: black men, Latino men, White men, Asian men. Why is 148 00:08:27,080 --> 00:08:29,600 Speaker 2: it that guys who think of themselves as guys and 149 00:08:29,640 --> 00:08:32,360 Speaker 2: think the genders are different. Well, it's because the Democrat 150 00:08:32,400 --> 00:08:34,360 Speaker 2: Party doesn't think that they are different. It's because the 151 00:08:34,360 --> 00:08:37,440 Speaker 2: Democrat Party doesn't accept that their differences between men and women. 152 00:08:37,440 --> 00:08:40,000 Speaker 2: You notice, Clay, I mean, I said this is the problem. 153 00:08:40,520 --> 00:08:42,880 Speaker 2: They say, well, what is masculinity? They try to trap 154 00:08:42,920 --> 00:08:44,960 Speaker 2: you in this, and I started saying, you know, you know, courage, 155 00:08:45,080 --> 00:08:48,280 Speaker 2: risk taking, you know, control the aggression, and then it's all, 156 00:08:48,360 --> 00:08:50,800 Speaker 2: what about women? They can do that too, So there 157 00:08:50,840 --> 00:08:53,600 Speaker 2: is no such thing as masculinity. Then this is, or 158 00:08:53,720 --> 00:08:56,520 Speaker 2: rather the only masculinity is like, you know, beating your 159 00:08:56,559 --> 00:08:59,160 Speaker 2: wife and being an abuser and being a sexual harasser, 160 00:08:59,360 --> 00:09:03,640 Speaker 2: which is man hatred, which the Democrat Party has embraced. 161 00:09:03,760 --> 00:09:07,320 Speaker 1: Which is why I think Trump is really making a 162 00:09:07,360 --> 00:09:12,840 Speaker 1: lot of ground up on this. Men pretending to be 163 00:09:12,880 --> 00:09:15,959 Speaker 1: women winning championships. I think it's something that cuts through 164 00:09:16,000 --> 00:09:19,040 Speaker 1: for men in particular, who tend to overwhelmingly be sports fans. 165 00:09:19,120 --> 00:09:20,720 Speaker 1: Let me hit you with a couple of things here. One, 166 00:09:21,559 --> 00:09:23,880 Speaker 1: you asked Brett Beher. For those of you didn't hear, 167 00:09:23,920 --> 00:09:26,760 Speaker 1: Brett Beher is doing an interview on Wednesday. I think 168 00:09:26,840 --> 00:09:32,240 Speaker 1: buck if Brett Behar said, Kamala, you said hashtag believe 169 00:09:32,280 --> 00:09:35,160 Speaker 1: all women. To build on your Brett Kavanaugh question, why 170 00:09:35,160 --> 00:09:38,560 Speaker 1: should you not believe the woman who accused your husband 171 00:09:38,800 --> 00:09:41,040 Speaker 1: of smacking her in the face. I don't know that 172 00:09:41,120 --> 00:09:44,640 Speaker 1: he'll be willing to do it, but hashtag believe all women. 173 00:09:44,760 --> 00:09:45,679 Speaker 1: He doesn't say, and. 174 00:09:45,640 --> 00:09:47,959 Speaker 2: This is what I said. I mean, the standard when 175 00:09:47,960 --> 00:09:51,120 Speaker 2: they attacked Kavanaugh was a woman makes an accusation. You 176 00:09:51,200 --> 00:09:53,920 Speaker 2: start from it's true, and then maybe you can try 177 00:09:53,960 --> 00:09:56,560 Speaker 2: to disprove it. I also say it's not hard to 178 00:09:56,559 --> 00:09:58,800 Speaker 2: find out who they were talking about here. The media 179 00:09:58,840 --> 00:10:01,560 Speaker 2: could find this person, to me, could ask her. And 180 00:10:01,600 --> 00:10:05,000 Speaker 2: anyone who says, oh, well, you know the the you know, 181 00:10:05,040 --> 00:10:07,559 Speaker 2: the first husband whatever, first husband, second husband. I can't 182 00:10:07,640 --> 00:10:10,200 Speaker 2: keep all these things. First gentleman, thank you, the first gentleman, 183 00:10:10,960 --> 00:10:14,960 Speaker 2: the second gentleman. Anyone who says, oh, that doesn't really matter. No, No, 184 00:10:15,559 --> 00:10:18,840 Speaker 2: they they picked this fight, so to speak. They put 185 00:10:18,880 --> 00:10:21,360 Speaker 2: Tim Walls out there, who, by the way, doesn't know 186 00:10:21,400 --> 00:10:23,160 Speaker 2: how to load a shotgun. But you know, I got 187 00:10:23,160 --> 00:10:26,319 Speaker 2: a shotgun. I'm just one of those gun totin Democrats. 188 00:10:26,400 --> 00:10:29,280 Speaker 2: Sure you are, Timmy, and and they, you know, Kamala 189 00:10:29,320 --> 00:10:31,600 Speaker 2: with her glock and the whole thing. They realize they 190 00:10:31,640 --> 00:10:34,000 Speaker 2: have a huge deficit here, and they put Doug M. 191 00:10:34,040 --> 00:10:37,079 Speaker 2: Hall forward and explicitly said, this is like the new 192 00:10:37,200 --> 00:10:41,319 Speaker 2: kind of masculinity you want, and it's not working. And 193 00:10:41,360 --> 00:10:43,160 Speaker 2: when I try to explain to them, I'm actually doing 194 00:10:43,160 --> 00:10:45,120 Speaker 2: the Democrats a service. Play. I was trying to explain 195 00:10:45,160 --> 00:10:46,839 Speaker 2: them in general mask in terms, and all I got 196 00:10:46,880 --> 00:10:48,480 Speaker 2: from the move is like, oh, well, you don't look 197 00:10:48,520 --> 00:10:51,320 Speaker 2: like Schwarzenegger, So what are you talking about it? These 198 00:10:51,320 --> 00:10:55,560 Speaker 2: people are they're their children. Democrats are children on this issue. 199 00:10:55,960 --> 00:10:58,400 Speaker 1: We got the audio now that I wanted to play 200 00:10:58,480 --> 00:11:03,720 Speaker 1: of CNN election data analyst Harry Inton talking about how 201 00:11:03,800 --> 00:11:07,440 Speaker 1: bad Kamala Harris is doing with black men and women 202 00:11:07,800 --> 00:11:10,040 Speaker 1: and how much better Trump is doing, to the extent 203 00:11:10,080 --> 00:11:13,000 Speaker 1: that he is poised to do the best in it's 204 00:11:13,000 --> 00:11:16,200 Speaker 1: almost hard to do this math Buck sixty four years 205 00:11:16,280 --> 00:11:17,439 Speaker 1: among black voters. 206 00:11:17,480 --> 00:11:20,440 Speaker 4: Listen, this is the Democratic margin among black men under 207 00:11:20,440 --> 00:11:23,160 Speaker 4: the age of forty five and presidential elections. 208 00:11:23,280 --> 00:11:25,960 Speaker 2: You'll go back to November of twenty twelve. What do 209 00:11:26,000 --> 00:11:26,480 Speaker 2: you see? 210 00:11:26,600 --> 00:11:29,559 Speaker 4: You see Obama by eighty one, Clinton only won and 211 00:11:29,640 --> 00:11:30,760 Speaker 4: by sixty three. 212 00:11:30,920 --> 00:11:32,120 Speaker 2: Then we're all the way. 213 00:11:31,960 --> 00:11:34,920 Speaker 4: Down a Biden last time around by fifty three, a 214 00:11:34,960 --> 00:11:37,720 Speaker 4: tremendous drop already. And then you take a look at 215 00:11:37,720 --> 00:11:40,160 Speaker 4: the average of the most recent polls and Kamala Harris 216 00:11:40,360 --> 00:11:43,120 Speaker 4: is up by only forty one points. That is about 217 00:11:43,160 --> 00:11:45,760 Speaker 4: half the margin that Obama won them by back in 218 00:11:45,800 --> 00:11:49,120 Speaker 4: November of twenty twelve. How about black men overall, it's 219 00:11:49,160 --> 00:11:52,400 Speaker 4: part of the same picture. You know, we're looking once again. 220 00:11:52,480 --> 00:11:55,439 Speaker 4: If younger black men looks like the worst Democratic performance 221 00:11:55,480 --> 00:11:59,080 Speaker 4: since nineteen hundred and sixty, since JFK versus Richard Nixon, 222 00:11:59,160 --> 00:11:59,800 Speaker 4: it's the same thing. 223 00:12:00,200 --> 00:12:03,160 Speaker 1: Black men overall, I mean, buck that is a site 224 00:12:03,200 --> 00:12:07,840 Speaker 1: she can't win. If these numbers on black voters are accurate, 225 00:12:08,360 --> 00:12:11,400 Speaker 1: Kamala Harris's math doesn't add up. She has to be 226 00:12:11,480 --> 00:12:15,400 Speaker 1: ninety ten or she's going to lose. And by the way, 227 00:12:15,559 --> 00:12:18,880 Speaker 1: if you question whether these numbers are real, she's panicked 228 00:12:18,920 --> 00:12:23,320 Speaker 1: and pursuing blackmail voters in particular right now doing Charlottgne 229 00:12:23,360 --> 00:12:27,720 Speaker 1: The Gods Show tomorrow. This is a very real threat 230 00:12:27,800 --> 00:12:30,880 Speaker 1: to her campaign. And when you're trying to shore up 231 00:12:30,920 --> 00:12:34,360 Speaker 1: what has typically been the Democrat base twenty two days 232 00:12:34,400 --> 00:12:36,120 Speaker 1: before the election, you're in trouble. 233 00:12:36,720 --> 00:12:38,400 Speaker 2: Take some of your calls here coming up. Eight hundred 234 00:12:38,400 --> 00:12:41,360 Speaker 2: two A two two eight A two. I'm gonna be 235 00:12:41,360 --> 00:12:45,200 Speaker 2: out the range next weekend and I'm gonna be testing 236 00:12:45,240 --> 00:12:49,160 Speaker 2: out my latest Bear Creek Arsenal addition to my arsenal. 237 00:12:49,880 --> 00:12:52,040 Speaker 2: I love Bear Creek Arsenal. You know we're talking me 238 00:12:52,080 --> 00:12:54,000 Speaker 2: for about how you know the left likes to go 239 00:12:54,040 --> 00:12:57,800 Speaker 2: after companies, anything associated with conservatives. Bear Creek Arsenal makes 240 00:12:57,840 --> 00:13:01,040 Speaker 2: great firearms. They stand for the Secondmendment, they stand for freedom, 241 00:13:01,080 --> 00:13:03,840 Speaker 2: they partner with shows like this one. They're not worried 242 00:13:03,840 --> 00:13:07,680 Speaker 2: about oh comments or whatever. No, these are patriots who 243 00:13:07,720 --> 00:13:10,360 Speaker 2: believe in your right to bear arms, and they want 244 00:13:10,360 --> 00:13:13,720 Speaker 2: to give you the best, most efficient, best price farms 245 00:13:13,760 --> 00:13:16,520 Speaker 2: you can possibly get. The price points will really surprise you. 246 00:13:16,559 --> 00:13:19,199 Speaker 2: I mean the uppers, the lower receivers, so you can 247 00:13:19,200 --> 00:13:22,680 Speaker 2: get full rifles, full pistols. You also can get the 248 00:13:22,760 --> 00:13:26,040 Speaker 2: upper or the lower from Bear Creek Arsenal for better 249 00:13:26,080 --> 00:13:28,440 Speaker 2: prices than you'll see absolutely anywhere else. And this is 250 00:13:28,440 --> 00:13:32,000 Speaker 2: because there's no middleman involved here, and they're trying to 251 00:13:32,040 --> 00:13:35,080 Speaker 2: send the best rifles they can out onto the market 252 00:13:35,120 --> 00:13:38,960 Speaker 2: thirty day, no questions asked return policy in addition to 253 00:13:39,000 --> 00:13:42,319 Speaker 2: their incredible lifetime warranty. I've got the BC fifteen at home. 254 00:13:42,360 --> 00:13:44,400 Speaker 2: I've got the Grizzly, which is their nine millimeters all 255 00:13:44,440 --> 00:13:47,520 Speaker 2: The Grizzly feels so good in my hands. I shoot 256 00:13:47,559 --> 00:13:50,240 Speaker 2: that thing lights out. I mean, I'm not a great shot. 257 00:13:50,280 --> 00:13:52,400 Speaker 2: I'm okay with a pistol, but I'm even better when 258 00:13:52,400 --> 00:13:55,240 Speaker 2: I've got the Grizzly in my hands. Go to Bearcreekarsenal 259 00:13:55,520 --> 00:13:58,680 Speaker 2: dot com. That's Bearcreekarsenal dot com. They have a limited 260 00:13:58,720 --> 00:14:00,920 Speaker 2: time sale going on right now now, don't wait and 261 00:14:00,960 --> 00:14:03,280 Speaker 2: miss out. Use my name as your coupon code for 262 00:14:03,320 --> 00:14:07,600 Speaker 2: ten percent off your order. That's Bear Creekarsenal dot com. 263 00:14:07,640 --> 00:14:10,520 Speaker 2: Promo code Buck for ten percent off exclusions apply. 264 00:14:11,480 --> 00:14:16,480 Speaker 5: Stories are freedom stories of America, inspirational stories that you 265 00:14:16,600 --> 00:14:20,240 Speaker 5: unite us all each day, spend time with Clay and buy. 266 00:14:20,680 --> 00:14:24,000 Speaker 5: Find them on the free iHeartRadio app or wherever you 267 00:14:24,120 --> 00:14:25,200 Speaker 5: get your podcasts. 268 00:14:25,280 --> 00:14:28,600 Speaker 2: Remember vip emails are at clayanbuck dot com. Please sign 269 00:14:28,640 --> 00:14:30,920 Speaker 2: up subscribe. Also, you get the full video feed of 270 00:14:30,960 --> 00:14:34,920 Speaker 2: the show. Peter our vip road and I just subscribed 271 00:14:34,920 --> 00:14:38,400 Speaker 2: to Crockett Coffee. Thanks to the liberal haters for providing 272 00:14:38,400 --> 00:14:40,440 Speaker 2: the motivation to get on board. I'm a veteran and 273 00:14:40,520 --> 00:14:44,560 Speaker 2: appreciate your efforts. Thank you so much, Peter. We really 274 00:14:44,640 --> 00:14:48,080 Speaker 2: appreciate that tell off. The Towers appreciates that. You know, 275 00:14:49,120 --> 00:14:51,560 Speaker 2: all I did was represent the views of half the 276 00:14:51,640 --> 00:14:56,360 Speaker 2: country with some panache and skill out there and there. 277 00:14:56,720 --> 00:14:58,520 Speaker 2: I mean, I can't even the things that have been 278 00:14:58,520 --> 00:15:00,760 Speaker 2: written to me all week, but I'm not complaining about it. 279 00:15:00,800 --> 00:15:03,480 Speaker 2: They got smoked, they're crying. They can go wind into 280 00:15:03,480 --> 00:15:06,320 Speaker 2: their chardonnay, or you know the guys who watch bill 281 00:15:06,360 --> 00:15:09,080 Speaker 2: Mark and go tell their wives boyfriends how upset they are. 282 00:15:09,400 --> 00:15:12,840 Speaker 2: But I'm I'm just sitting here telling you that this 283 00:15:12,960 --> 00:15:15,000 Speaker 2: is why we build Crocket Coffee. This is why we 284 00:15:15,040 --> 00:15:18,000 Speaker 2: want these companies so we can also sponsor other shows 285 00:15:18,080 --> 00:15:21,200 Speaker 2: like this one stand with free speech on Columbus Day, 286 00:15:21,240 --> 00:15:24,520 Speaker 2: Stand for American History, Davy Crockett, the Pioneer Spirits. So 287 00:15:24,640 --> 00:15:27,440 Speaker 2: please Crocketcoffee dot com ten percent of the profits tell 288 00:15:27,480 --> 00:15:29,960 Speaker 2: at the Towers Foundation. Whatever call why not make the switch. 289 00:15:29,960 --> 00:15:32,360 Speaker 2: Whatever coffee you're drinking, ours is better and ours has 290 00:15:32,360 --> 00:15:36,040 Speaker 2: a better cause. So subscribe Crocketcoffee dot com. Let's take 291 00:15:36,440 --> 00:15:39,160 Speaker 2: Al in San Diego. What's going on, Al? 292 00:15:41,040 --> 00:15:44,440 Speaker 6: Yeah, A happy Columbus Day, man, you too? Thank you? 293 00:15:45,840 --> 00:15:47,000 Speaker 7: Yeah, you know, real quick. 294 00:15:47,240 --> 00:15:48,840 Speaker 6: Over the years, people will come up to me and 295 00:15:48,880 --> 00:15:51,080 Speaker 6: ask me if I'm Indigenous Indian and I said, yeah, 296 00:15:51,120 --> 00:15:55,720 Speaker 6: from the Actic Indians, and then they start apologizing to me. 297 00:15:55,840 --> 00:15:58,720 Speaker 6: You know, we're so sorry for what the white man 298 00:15:58,760 --> 00:16:01,160 Speaker 6: have done to your people. And I said, well, you 299 00:16:01,240 --> 00:16:03,840 Speaker 6: got to understand the astics. Like you said earlier in 300 00:16:03,880 --> 00:16:07,080 Speaker 6: the show. You know, they made slaves of the surrounding Indians, 301 00:16:07,600 --> 00:16:11,800 Speaker 6: tortured them and then ended up killing them. And I said, 302 00:16:12,200 --> 00:16:15,000 Speaker 6: then I tell him, I said, thank God the white 303 00:16:15,040 --> 00:16:18,480 Speaker 6: man brought Christianity over to Mexico so we would stop 304 00:16:18,520 --> 00:16:21,560 Speaker 6: doing that kind of lifestyle. And they just stand there 305 00:16:21,600 --> 00:16:23,800 Speaker 6: with the mouths open. They don't know what to say. 306 00:16:24,040 --> 00:16:26,480 Speaker 2: Well, Happy Columbus Day to u, Al, and thank you 307 00:16:26,520 --> 00:16:30,640 Speaker 2: for reading history and and God bless my fellow Christian. 308 00:16:30,680 --> 00:16:34,800 Speaker 2: I appreciate you calling in. You know, Clay, this is 309 00:16:35,680 --> 00:16:37,520 Speaker 2: I kind of think about this sometimes. You know, I 310 00:16:37,520 --> 00:16:41,040 Speaker 2: could sit around and complain about how my people were 311 00:16:41,080 --> 00:16:45,720 Speaker 2: originally probably the Picts p i ct S right of 312 00:16:46,600 --> 00:16:49,480 Speaker 2: northern what was now Scotland, and they had woed and 313 00:16:49,520 --> 00:16:51,480 Speaker 2: they covered themselves in blue and everything. But you know, 314 00:16:51,920 --> 00:16:54,360 Speaker 2: the Romans showed up and then the Saxons and the 315 00:16:54,440 --> 00:16:57,920 Speaker 2: Vikings and cultural you know, diffusion, and boom, all of 316 00:16:57,960 --> 00:17:01,640 Speaker 2: a sudden, here I am centuries centuries later. Like people 317 00:17:01,720 --> 00:17:03,040 Speaker 2: just need to get on with it, you know what 318 00:17:03,080 --> 00:17:06,000 Speaker 2: I'm saying, Like some cultures get conquered by others. Take 319 00:17:06,040 --> 00:17:08,760 Speaker 2: the good stuff. Let's just focus on what's fair and 320 00:17:08,840 --> 00:17:11,280 Speaker 2: right and just today and not try to re litigate 321 00:17:11,320 --> 00:17:12,600 Speaker 2: five hundred years ago. 322 00:17:12,480 --> 00:17:15,560 Speaker 1: No doubt. And that's why I would just argue synthesizing 323 00:17:15,600 --> 00:17:20,080 Speaker 1: all this Western civilization was a very good thing, overwhelmingly 324 00:17:20,160 --> 00:17:23,959 Speaker 1: for the world. And cultural appropriation, that is taking the 325 00:17:24,000 --> 00:17:27,480 Speaker 1: best that every human has ever created, whether it's coffee 326 00:17:27,480 --> 00:17:32,040 Speaker 1: from Ethiopia evidently or the Internet, is actually a good 327 00:17:32,040 --> 00:17:34,040 Speaker 1: thing by and large for all of humanity. 328 00:17:34,160 --> 00:17:36,280 Speaker 2: Yes, and this is why. Also the notion of cultural 329 00:17:36,320 --> 00:17:40,960 Speaker 2: appropriation is one of the most historically ignorant concepts imaginable. 330 00:17:41,400 --> 00:17:44,440 Speaker 2: All culture is appropriated, correct, all culture is shared and 331 00:17:44,480 --> 00:17:46,520 Speaker 2: actually one of the best things about humanity. One of 332 00:17:46,560 --> 00:17:49,320 Speaker 2: the things that advances us the most is sharing good 333 00:17:49,320 --> 00:17:52,680 Speaker 2: ideas from other cultures. Like the wheel good that was 334 00:17:52,720 --> 00:17:53,120 Speaker 2: a good one. 335 00:17:53,160 --> 00:17:53,359 Speaker 8: I know. 336 00:17:53,640 --> 00:17:56,200 Speaker 2: We do what we can. Some people might suggest that 337 00:17:56,240 --> 00:18:00,400 Speaker 2: a portion of our nation's infrastructure is experiencing catastrophic failures. 338 00:18:00,400 --> 00:18:03,280 Speaker 2: A few of the top researchers at Stansbury Research think so. 339 00:18:03,760 --> 00:18:06,240 Speaker 2: Look at Stansbury, they produce reports on the state of 340 00:18:06,240 --> 00:18:10,000 Speaker 2: our nation's economy, its infrastructure, and where the markets are going. 341 00:18:10,280 --> 00:18:12,480 Speaker 2: In the last couple of months, Stansbury Researcher has put 342 00:18:12,520 --> 00:18:15,479 Speaker 2: out an insightful report on how all these strains so 343 00:18:15,560 --> 00:18:19,920 Speaker 2: called accidents are happening across America. Reporting is diverse, nine 344 00:18:19,960 --> 00:18:22,600 Speaker 2: to one one call centers going offline at unusual times, 345 00:18:23,400 --> 00:18:26,920 Speaker 2: forty seven hundred train accidents that our nation experienced last year. 346 00:18:27,560 --> 00:18:30,480 Speaker 2: Let's not forget those reports of a commercial airplane that 347 00:18:30,600 --> 00:18:33,399 Speaker 2: was losing parts while on the air. What is going 348 00:18:33,480 --> 00:18:36,399 Speaker 2: on and how will it affect you, your money and 349 00:18:36,440 --> 00:18:39,439 Speaker 2: the future of this country. Go online to America disaster 350 00:18:39,640 --> 00:18:42,680 Speaker 2: dot com for the full story. Hear the report, explain 351 00:18:42,760 --> 00:18:45,960 Speaker 2: to you that's America disaster dot com. To get the 352 00:18:46,000 --> 00:18:49,480 Speaker 2: full story on America's next big accident, How to protect you, 353 00:18:49,480 --> 00:18:50,879 Speaker 2: your family, and your money. 354 00:18:51,480 --> 00:18:54,800 Speaker 1: Welcome back in play, Travis buck Sexton Show. Appreciate all 355 00:18:54,800 --> 00:18:58,000 Speaker 1: of you hanging out with us. Kamal has been trying 356 00:18:58,040 --> 00:19:02,240 Speaker 1: to rally the typical Democrats standard bearers. You had Barack Obama, 357 00:19:02,520 --> 00:19:04,720 Speaker 1: who appears to have lost a few miles an hour 358 00:19:04,800 --> 00:19:08,280 Speaker 1: off his fastball, lecturing black men that they were sexist 359 00:19:08,320 --> 00:19:12,280 Speaker 1: for not supporting Kamala Harris enough. And now Bill Clinton, 360 00:19:12,480 --> 00:19:15,720 Speaker 1: who I believe buck is still younger than Joe Biden, 361 00:19:16,200 --> 00:19:18,200 Speaker 1: which is kind of crazy to think about because Bill 362 00:19:18,240 --> 00:19:22,640 Speaker 1: Clinton was president obviously from nineteen ninety two to two thousand, 363 00:19:23,040 --> 00:19:26,119 Speaker 1: So the idea that Bill Clinton is still younger than 364 00:19:26,200 --> 00:19:30,360 Speaker 1: Joe Biden is staggering. But he's on the road and 365 00:19:30,840 --> 00:19:33,639 Speaker 1: this is a clip and I couldn't believe it, but 366 00:19:33,720 --> 00:19:37,240 Speaker 1: Bill Clinton says Lake and Riley would probably still be 367 00:19:37,320 --> 00:19:40,600 Speaker 1: alive if Kamala Harrison Joe Biden had done their job 368 00:19:40,640 --> 00:19:42,920 Speaker 1: at the border. But we have to import a lot 369 00:19:42,920 --> 00:19:45,719 Speaker 1: of people because Americans are not having enough babies. This 370 00:19:45,760 --> 00:19:49,080 Speaker 1: is Bill Clinton on the campaign trail for Kamala Harris. 371 00:19:49,119 --> 00:19:50,480 Speaker 2: Listen, you had a case. 372 00:19:50,280 --> 00:19:52,239 Speaker 9: In Georgian not very long ago, did you They made 373 00:19:52,280 --> 00:19:54,880 Speaker 9: an ad about it about it a young woman who'd 374 00:19:54,880 --> 00:19:56,200 Speaker 9: been killed by n emigrant. 375 00:19:57,840 --> 00:19:59,080 Speaker 2: Yeah, well, let's say it all. 376 00:19:59,080 --> 00:20:03,720 Speaker 9: Been probably vetted, that probably wouldn't have happened. But if 377 00:20:03,720 --> 00:20:08,240 Speaker 9: they all probably vetted and that doesn't happen, in America 378 00:20:09,160 --> 00:20:12,119 Speaker 9: is not having enough babies to keep our populations up, 379 00:20:13,119 --> 00:20:16,000 Speaker 9: so we need immigrants that have been vetted to do work. 380 00:20:16,640 --> 00:20:19,399 Speaker 9: There wouldn't be a problem, and he couldn't keep people 381 00:20:19,440 --> 00:20:20,480 Speaker 9: all torn up enough. 382 00:20:20,320 --> 00:20:25,080 Speaker 1: Set Okay, So again, Bill Clinton is a lot older. 383 00:20:25,840 --> 00:20:28,960 Speaker 1: But the fact that he would be out acknowledging Lake 384 00:20:29,000 --> 00:20:32,080 Speaker 1: and Riley, though not by name, that she would probably 385 00:20:32,200 --> 00:20:35,919 Speaker 1: still be alive if immigrants had been properly vetted, and 386 00:20:35,960 --> 00:20:38,399 Speaker 1: then to go into the argument of basically, we're not 387 00:20:38,440 --> 00:20:42,560 Speaker 1: having enough kids, enough babies, so we need immigrants here 388 00:20:42,640 --> 00:20:45,199 Speaker 1: to handle jobs. I mean, fuck, this is a mess. 389 00:20:45,680 --> 00:20:48,600 Speaker 1: But for Bill Clinton to be stumping for Kamala Harris 390 00:20:48,640 --> 00:20:51,399 Speaker 1: and acknowledging that there are many people who are dead, 391 00:20:51,800 --> 00:20:54,879 Speaker 1: including Lake and Riley, that would otherwise have been alive 392 00:20:55,080 --> 00:20:58,800 Speaker 1: if the border had been properly secured is for many 393 00:20:58,840 --> 00:21:02,200 Speaker 1: people the crystal of why Donald Trump is so right 394 00:21:02,240 --> 00:21:05,400 Speaker 1: about border security, and for Obama to be tripping all 395 00:21:05,400 --> 00:21:09,160 Speaker 1: over himself and probably alienating black voters, and for Bill 396 00:21:09,200 --> 00:21:12,320 Speaker 1: Clinton to be acknowledging that the criticism of Donald Trump 397 00:21:12,400 --> 00:21:17,000 Speaker 1: and JD Vance's valid about border security is to me 398 00:21:18,000 --> 00:21:22,040 Speaker 1: very strong evidence that Kamala Harris's campaign is just floundering 399 00:21:22,200 --> 00:21:25,480 Speaker 1: and they don't really know what their message is at 400 00:21:25,480 --> 00:21:26,080 Speaker 1: this point. 401 00:21:26,200 --> 00:21:29,000 Speaker 2: What's the most compelling reason to vote for Kamala Harris 402 00:21:29,080 --> 00:21:32,439 Speaker 2: right now other than she's a Democrat and she's not Trump. 403 00:21:33,359 --> 00:21:35,320 Speaker 2: I actually don't have an answer for I think its 404 00:21:35,359 --> 00:21:38,600 Speaker 2: abortion would probably be the answer Democratic. I think Democrat 405 00:21:38,720 --> 00:21:41,320 Speaker 2: covers that. I mean, I mean something unique to Kamala 406 00:21:41,359 --> 00:21:41,840 Speaker 2: as if. 407 00:21:42,240 --> 00:21:45,479 Speaker 1: You are a swing voter, this is what is Kamala 408 00:21:45,520 --> 00:21:48,919 Speaker 1: Harris done or planning to do that you believe is 409 00:21:49,119 --> 00:21:52,959 Speaker 1: justifying her being promoted. I don't know what the answer is, 410 00:21:53,000 --> 00:21:55,120 Speaker 1: and I think that's why they're struggling so much, buck 411 00:21:55,160 --> 00:21:57,160 Speaker 1: because deep down they don't know the answer. 412 00:21:57,160 --> 00:22:01,040 Speaker 2: I also think it's remarkable these people who are fixated, 413 00:22:01,119 --> 00:22:06,679 Speaker 2: for example, on something like Ukraine, they really think that 414 00:22:06,760 --> 00:22:10,240 Speaker 2: Kamala Harris is gonna get it done sitting across the 415 00:22:10,280 --> 00:22:13,640 Speaker 2: table or on the phone with Putin that they believe that. 416 00:22:13,760 --> 00:22:16,119 Speaker 2: I mean, remember these are people I'm talking about, who 417 00:22:16,160 --> 00:22:18,720 Speaker 2: are Democrats who have like Ukraine flags everywhere and everything. 418 00:22:19,440 --> 00:22:21,080 Speaker 2: I would like this war to end. I would like 419 00:22:21,119 --> 00:22:24,080 Speaker 2: the carnage to stop. Kamala Harris is the commander in 420 00:22:24,160 --> 00:22:26,439 Speaker 2: chief that you think gets that done. I mean, you 421 00:22:26,440 --> 00:22:28,840 Speaker 2: think the border is a mess. Kamala Harris is the 422 00:22:28,880 --> 00:22:31,919 Speaker 2: person who's going to do what exactly. She's going to 423 00:22:32,200 --> 00:22:35,840 Speaker 2: massively increase deportations from Joe Biden. By the way, another question, 424 00:22:36,280 --> 00:22:38,160 Speaker 2: just throwing it out there. Another question that I would 425 00:22:38,160 --> 00:22:41,120 Speaker 2: like Brett Bair to ask, which is are you going 426 00:22:41,119 --> 00:22:44,840 Speaker 2: to dramatically increase deportations because they're way down under Joe Biden. 427 00:22:44,880 --> 00:22:46,400 Speaker 2: I mean they are a joke that the worst they've 428 00:22:46,440 --> 00:22:49,560 Speaker 2: been in decads. And Obama actually deported a lot of people. 429 00:22:49,920 --> 00:22:52,439 Speaker 2: Well that was part of the Yes, they called them 430 00:22:52,440 --> 00:22:54,000 Speaker 2: the deporter in chief, but that was part of the 431 00:22:54,040 --> 00:22:56,399 Speaker 2: move to get Republicans to join with the Gang of 432 00:22:56,440 --> 00:22:58,240 Speaker 2: Eight to have the big amnesty built. 433 00:22:58,280 --> 00:22:58,359 Speaker 10: Right. 434 00:22:58,400 --> 00:23:00,240 Speaker 2: It was hey, guys, look, look you can try. You know, 435 00:23:00,600 --> 00:23:03,600 Speaker 2: we'll send some people out, but let's just legalize the 436 00:23:03,640 --> 00:23:05,800 Speaker 2: twenty million who were already here, right, and that was 437 00:23:05,840 --> 00:23:07,720 Speaker 2: the bait and switch that was underway there. 438 00:23:07,920 --> 00:23:11,239 Speaker 1: I think maybe the most devastating stat of all that 439 00:23:11,320 --> 00:23:15,280 Speaker 1: has come out about the Biden Kamala border. And Trump 440 00:23:15,440 --> 00:23:19,560 Speaker 1: keeps hammering this. We've let in thirteen thousand convicted murderers 441 00:23:19,760 --> 00:23:22,160 Speaker 1: and sixteen thousand convicted rapists. 442 00:23:22,200 --> 00:23:24,160 Speaker 2: We didn't have enough murderers in this country. We needed 443 00:23:24,200 --> 00:23:27,199 Speaker 2: some more murderers to do the murders Americans won't do. 444 00:23:27,480 --> 00:23:31,879 Speaker 1: And you know this, many of those countries have incredibly 445 00:23:32,040 --> 00:23:36,040 Speaker 1: low conviction rates. Yes, who managed to convict someone of 446 00:23:36,200 --> 00:23:39,520 Speaker 1: murder is difficult in a lot of these places. That 447 00:23:39,600 --> 00:23:40,520 Speaker 1: gets here difficult. 448 00:23:40,520 --> 00:23:42,240 Speaker 2: I'll tell you something. This is years ago, but the 449 00:23:42,280 --> 00:23:46,359 Speaker 2: former US ambassador in Mexico, this, this statistic was staggering 450 00:23:46,400 --> 00:23:49,040 Speaker 2: to me at the time. It's like twenty eighteen, this 451 00:23:49,160 --> 00:23:52,840 Speaker 2: under the Trump administration, obviously Ambassador of Mexico told me 452 00:23:53,400 --> 00:23:57,240 Speaker 2: that the chance of an arrest and conviction in a 453 00:23:57,280 --> 00:24:00,520 Speaker 2: criminal for a criminal offense in Mexico criminals FIAT now 454 00:24:00,880 --> 00:24:04,320 Speaker 2: chance of arrest and conviction was three percent. 455 00:24:04,440 --> 00:24:05,199 Speaker 1: Yeah, that's crazy. 456 00:24:05,920 --> 00:24:09,600 Speaker 2: Three percent. Everybody think about that for a second. Yeah, well, 457 00:24:09,720 --> 00:24:11,359 Speaker 2: it's so lawless there, Oh, I don't know. 458 00:24:11,480 --> 00:24:14,760 Speaker 1: If we know that we're letting in thirteen thousand murders, 459 00:24:14,880 --> 00:24:18,320 Speaker 1: it's probably triple that. And to put that in context, 460 00:24:18,760 --> 00:24:21,280 Speaker 1: there's only and it's too many, but I think it's 461 00:24:21,320 --> 00:24:24,600 Speaker 1: around twenty thousand murders a year happened. So you're talking 462 00:24:24,640 --> 00:24:27,000 Speaker 1: about double the number of murders that have come in. 463 00:24:27,040 --> 00:24:28,840 Speaker 2: And this is perfect. This is where we can bring 464 00:24:28,880 --> 00:24:30,480 Speaker 2: in Do you want to bring the Martha Radits thing 465 00:24:30,560 --> 00:24:32,919 Speaker 2: right here? Because I think I think it. Yeah, I 466 00:24:32,920 --> 00:24:35,800 Speaker 2: think it goes to the anp so jd Vance and 467 00:24:35,880 --> 00:24:41,480 Speaker 2: I was frequently called after Bill maher a A I 468 00:24:41,480 --> 00:24:42,720 Speaker 2: don't know how to say this to the radio, but 469 00:24:42,760 --> 00:24:45,159 Speaker 2: A like a mean version of jd Vance was what 470 00:24:45,200 --> 00:24:48,520 Speaker 2: they were calling about, this mighty word version of James. 471 00:24:48,600 --> 00:24:51,080 Speaker 1: How about you being called a mean version of jd 472 00:24:51,160 --> 00:24:54,200 Speaker 1: Vance because I haven't heard people say jd Vance is nice? 473 00:24:54,440 --> 00:24:57,040 Speaker 2: Well, you know, I think I'm so nice. I think 474 00:24:57,080 --> 00:24:59,080 Speaker 2: I'm so nice, So I don't know why anybody would 475 00:24:59,080 --> 00:25:03,240 Speaker 2: even think that. But here Martha Raddits talking about the 476 00:25:03,400 --> 00:25:08,399 Speaker 2: issue of the gangs taking overs with Jadvans, gangs taking 477 00:25:08,440 --> 00:25:12,280 Speaker 2: over stuff in Colorado, our apartment buildings. 478 00:25:12,280 --> 00:25:17,360 Speaker 11: Listen the incidents were limited to a handful of apartment complexes, 479 00:25:17,400 --> 00:25:20,880 Speaker 11: and the mayor said, our dedicated police officers have acted 480 00:25:20,960 --> 00:25:23,720 Speaker 11: on those concerns a handful of problems. 481 00:25:24,200 --> 00:25:27,639 Speaker 10: Only, Martha, do you hear yourself? Only a handful of 482 00:25:27,680 --> 00:25:31,479 Speaker 10: apartment complexes in America were taken over by Venezuelan gangs. 483 00:25:31,680 --> 00:25:34,640 Speaker 10: And Donald Trump is the problem and not Kamala Harris's 484 00:25:34,680 --> 00:25:38,160 Speaker 10: open border. Americans are so fed up with what's going on, 485 00:25:38,520 --> 00:25:40,600 Speaker 10: and they have every right to be. And I really 486 00:25:40,600 --> 00:25:44,359 Speaker 10: find this exchange, Martha is sort of interesting because you 487 00:25:44,480 --> 00:25:48,000 Speaker 10: seem to be more focused with nitpicking everything that Donald 488 00:25:48,000 --> 00:25:52,720 Speaker 10: Trump has said, rather than acknowledging that apartment complexes in 489 00:25:52,760 --> 00:25:55,760 Speaker 10: the United States of America are being taken over by 490 00:25:55,840 --> 00:25:58,119 Speaker 10: violent gangs. 491 00:25:57,920 --> 00:26:00,760 Speaker 2: That's what they're relegated to play in. The argument is, 492 00:26:01,320 --> 00:26:03,720 Speaker 2: you know, it's not that many apartment buildings that the 493 00:26:03,800 --> 00:26:06,880 Speaker 2: violent Venezuelan illegal gangs are taking over. You know, it's 494 00:26:06,920 --> 00:26:09,560 Speaker 2: not that many thousands, tens of thousands of murders we're 495 00:26:09,640 --> 00:26:11,240 Speaker 2: letting in. What's the big deal. 496 00:26:11,520 --> 00:26:14,080 Speaker 1: I think the reason that went viral is not only 497 00:26:14,200 --> 00:26:18,359 Speaker 1: because of the argument that Martha Raditz is making there. 498 00:26:18,600 --> 00:26:22,280 Speaker 1: And I saw that she lives in a three million 499 00:26:22,359 --> 00:26:25,400 Speaker 1: dollar house. I believe it is buck in northern Virginia. 500 00:26:25,520 --> 00:26:27,879 Speaker 1: So it's easy if you're in that world to not 501 00:26:28,040 --> 00:26:32,840 Speaker 1: care about illegal immigrant crime oftentimes. But it's also that 502 00:26:33,040 --> 00:26:37,679 Speaker 1: jd Vance listened to her question and directly answered it 503 00:26:37,840 --> 00:26:42,040 Speaker 1: and pointed out the flawed premise of the question. This 504 00:26:42,240 --> 00:26:45,400 Speaker 1: is something that I think Republicans in particular can do 505 00:26:45,440 --> 00:26:50,320 Speaker 1: a better job of pointing out and attacking the argument 506 00:26:50,359 --> 00:26:54,840 Speaker 1: that this is unbiased. Media is very often flagrantly wrong 507 00:26:54,920 --> 00:26:57,160 Speaker 1: on its face, and I think you could go back, 508 00:26:57,240 --> 00:27:00,400 Speaker 1: for instance, in the debates, the debate that was put 509 00:27:00,480 --> 00:27:02,800 Speaker 1: on by ABC and the debate that was put on 510 00:27:02,920 --> 00:27:06,680 Speaker 1: by CBS, and I think you could just look at 511 00:27:06,680 --> 00:27:10,479 Speaker 1: the way the questions were directed and you can see 512 00:27:10,520 --> 00:27:14,280 Speaker 1: how left wing bias they are. Because the premise of 513 00:27:14,320 --> 00:27:17,040 Speaker 1: a question can be an attack or it can be 514 00:27:17,080 --> 00:27:20,320 Speaker 1: an open ended concept. Tell me what your border policies 515 00:27:20,440 --> 00:27:24,320 Speaker 1: are as opposed to how are you going to separate? 516 00:27:24,440 --> 00:27:27,320 Speaker 1: Remember the question, you're going to have to separate parents 517 00:27:27,480 --> 00:27:31,320 Speaker 1: and their kids in order to have mass deportations. There 518 00:27:31,480 --> 00:27:34,840 Speaker 1: is a targeted attack primised in the question itself, and 519 00:27:34,920 --> 00:27:37,520 Speaker 1: I thought Jade Vance did a really good job listening 520 00:27:37,520 --> 00:27:41,560 Speaker 1: to that question and directly attacking its premise to illustrate what, 521 00:27:41,640 --> 00:27:44,280 Speaker 1: to me is the primary way that Donald Trump gets attacked. 522 00:27:45,320 --> 00:27:48,880 Speaker 1: Trump gets to the right result, but he's a bull 523 00:27:48,960 --> 00:27:51,639 Speaker 1: in a china shop to get there. Pay attention to 524 00:27:51,800 --> 00:27:56,280 Speaker 1: how often the end result of Trump policy isn't attacked. 525 00:27:56,680 --> 00:28:00,879 Speaker 1: It's the way that he gets there, sometimes using hyperboles, 526 00:28:00,880 --> 00:28:05,320 Speaker 1: sometimes exaggerating, and that is where the focus goes, not 527 00:28:05,520 --> 00:28:09,160 Speaker 1: on the end result, which is he typically ends up 528 00:28:09,440 --> 00:28:12,320 Speaker 1: in the right place on almost everything, and in particularly 529 00:28:12,320 --> 00:28:15,240 Speaker 1: we haven't even hardly talked about it, but this Afghan 530 00:28:15,800 --> 00:28:18,679 Speaker 1: guy who has been arrested Buck that was planning a 531 00:28:18,760 --> 00:28:24,200 Speaker 1: terror attack. He got quote unquote vetted by the by 532 00:28:24,280 --> 00:28:28,520 Speaker 1: our border patrol. Yet Trump said accurately, when we were 533 00:28:28,560 --> 00:28:31,199 Speaker 1: bringing in all these people from Afghanistan, hey, we're probably 534 00:28:31,200 --> 00:28:34,040 Speaker 1: bringing in a lot of terrorists. Thankfully they caught this 535 00:28:34,080 --> 00:28:36,560 Speaker 1: guy before he could engage in a mass terror attack. 536 00:28:36,960 --> 00:28:39,040 Speaker 1: But the reality is, when you were talking about thirteen 537 00:28:39,120 --> 00:28:43,920 Speaker 1: thousand convicted murderers, sixteen thousand convicted rapists, who knows hundreds 538 00:28:43,960 --> 00:28:47,560 Speaker 1: that we know of on the terror watch list, it's 539 00:28:47,720 --> 00:28:51,440 Speaker 1: going to happen that there will be a terror attack 540 00:28:51,880 --> 00:28:56,000 Speaker 1: in the United States from someone who has crossed illegally 541 00:28:56,120 --> 00:28:59,160 Speaker 1: into this country on the southern border. It only took 542 00:28:59,360 --> 00:29:02,440 Speaker 1: nineteen ten Terrist to make nine to eleven happen. Go 543 00:29:02,520 --> 00:29:05,280 Speaker 1: back and look at the terrorist who took over those airplanes. 544 00:29:05,600 --> 00:29:08,720 Speaker 1: Do we feel like more than nineteen terrorists in the 545 00:29:08,800 --> 00:29:11,960 Speaker 1: ten million people who have illegally crossed into this country, 546 00:29:12,160 --> 00:29:15,000 Speaker 1: do we feel like more than nineteen terrorists are among them? 547 00:29:15,040 --> 00:29:19,720 Speaker 1: I think certainly. It's a matter unfortunately, of when, not if, 548 00:29:20,160 --> 00:29:22,200 Speaker 1: and they're trying to pretend that's not the reality. We 549 00:29:22,240 --> 00:29:24,240 Speaker 1: come back. We'll take some more of your calls as 550 00:29:24,240 --> 00:29:26,760 Speaker 1: we continue to roll through the Monday edition of the program, 551 00:29:26,800 --> 00:29:30,120 Speaker 1: Columbus Day edition of the program. But we want to 552 00:29:30,120 --> 00:29:32,920 Speaker 1: tell you, guess what Trump was in Reno Saturday, in 553 00:29:33,000 --> 00:29:37,720 Speaker 1: Las Vegas, Saturday afternoon in Palm Spring Sunday in Prescott, Arizona. 554 00:29:37,840 --> 00:29:41,160 Speaker 1: No question that he has the energy and drive necessary 555 00:29:41,240 --> 00:29:43,160 Speaker 1: to remain a force of nature for the next twenty 556 00:29:43,200 --> 00:29:45,680 Speaker 1: two days until election night. He may be the one 557 00:29:45,680 --> 00:29:48,120 Speaker 1: guy that doesn't need chalks, mail, vitality stack. 558 00:29:48,240 --> 00:29:49,320 Speaker 2: Right now, do you have. 559 00:29:49,320 --> 00:29:52,440 Speaker 1: Trumpet and energy? Do you feel good about yourself as 560 00:29:52,440 --> 00:29:54,920 Speaker 1: you run about the weekend. Hey, how many of you 561 00:29:55,000 --> 00:29:58,160 Speaker 1: were dragon on Monday morning when that alarm went off? Hey, 562 00:29:58,320 --> 00:30:01,720 Speaker 1: how many of you actually took Columbus Day as a holiday. 563 00:30:01,800 --> 00:30:05,240 Speaker 1: I'm looking at you because you didn't have the VEM, 564 00:30:05,240 --> 00:30:08,600 Speaker 1: bigger vitality to go about the Monday like you should have. 565 00:30:08,960 --> 00:30:12,200 Speaker 1: I want to check out Chalk bestseller mal Vitality Stack. 566 00:30:12,400 --> 00:30:16,960 Speaker 1: It's all natural, twenty percent diminished testosterone levels and men 567 00:30:17,040 --> 00:30:18,120 Speaker 1: within three months time. 568 00:30:18,040 --> 00:30:18,400 Speaker 9: You say. 569 00:30:18,600 --> 00:30:21,320 Speaker 2: And if you don't have enough testosterone, you end up 570 00:30:21,320 --> 00:30:24,120 Speaker 2: being one of these guys watching Bill Maher complaining to 571 00:30:24,160 --> 00:30:26,400 Speaker 2: his wife about me smacking around the libs. 572 00:30:26,400 --> 00:30:28,760 Speaker 1: True, you don't want to be like that. Go online, 573 00:30:28,840 --> 00:30:32,360 Speaker 1: check it out Chalk dot com. Don't be an actual 574 00:30:32,520 --> 00:30:35,520 Speaker 1: toxic man. Put some testosterone back in your life. You 575 00:30:35,520 --> 00:30:37,960 Speaker 1: can use my name Clay for a massive discount on 576 00:30:38,000 --> 00:30:41,600 Speaker 1: any subscription for life. You can also check out Chalk 577 00:30:41,600 --> 00:30:44,920 Speaker 1: dot com. But you can also call in five zero 578 00:30:45,240 --> 00:30:48,960 Speaker 1: Chalk three thousand, say Clay sent me five zero chalk 579 00:30:49,040 --> 00:30:52,880 Speaker 1: three thousand and their US based customer service team standing 580 00:30:52,920 --> 00:30:55,120 Speaker 1: by right there to assist you. If it's Monday and 581 00:30:55,160 --> 00:30:57,800 Speaker 1: you don't have the energy you want. You can't keep 582 00:30:57,880 --> 00:31:00,520 Speaker 1: up with Trump maybe put some testosterone back in your 583 00:31:00,560 --> 00:31:03,400 Speaker 1: life with chalk dot Com geek out with the. 584 00:31:03,360 --> 00:31:06,720 Speaker 5: Guys on the Sunday Hang with Clay and Buck podcast, 585 00:31:06,880 --> 00:31:10,040 Speaker 5: a new episode every Sunday. Find it on the iHeart 586 00:31:10,040 --> 00:31:12,280 Speaker 5: app for wherever you get your podcasts. 587 00:31:12,880 --> 00:31:15,640 Speaker 2: Welcome back into Clay and Buck. We've got so many 588 00:31:15,680 --> 00:31:19,200 Speaker 2: lines lit. Appreciate all of you and great to be 589 00:31:19,280 --> 00:31:19,800 Speaker 2: back with you. 590 00:31:20,000 --> 00:31:20,240 Speaker 4: Man. 591 00:31:20,600 --> 00:31:23,800 Speaker 2: Less than three weeks from election day, this is getting intense, 592 00:31:23,920 --> 00:31:26,280 Speaker 2: my friends. We are here with you to the very 593 00:31:26,400 --> 00:31:28,960 Speaker 2: end and hopefully going to be able to celebrate with 594 00:31:29,000 --> 00:31:33,840 Speaker 2: you big time real soon. Let's take Let's see Caleb 595 00:31:33,960 --> 00:31:37,240 Speaker 2: in Lake Forest, California. Caleb, what's going on? Man? 596 00:31:38,080 --> 00:31:41,080 Speaker 8: Hey, gentlemen, thanks for taking the call. It went to 597 00:31:41,120 --> 00:31:45,280 Speaker 8: the rallies and Coachilla on Saturday's amazing experience. There was 598 00:31:45,760 --> 00:31:50,240 Speaker 8: probably around seventy five thousand people that showed up. Thousands 599 00:31:50,280 --> 00:31:53,680 Speaker 8: of people weren't able to get in, but overall it 600 00:31:53,760 --> 00:31:57,280 Speaker 8: was amazing. There was a wide variety of people there, 601 00:31:57,680 --> 00:32:00,480 Speaker 8: a lot of seniors. The love that I saw for 602 00:32:00,560 --> 00:32:02,880 Speaker 8: Trump was incredible. I mean, there were some people that 603 00:32:02,920 --> 00:32:05,160 Speaker 8: were really struggling to make it through the day. It 604 00:32:05,200 --> 00:32:07,800 Speaker 8: was one hundred degrees and they stayed the entire day 605 00:32:07,880 --> 00:32:10,520 Speaker 8: because you know, they want to show their love for Trump. 606 00:32:11,400 --> 00:32:14,280 Speaker 8: What I really wanted to let everybody know the end 607 00:32:14,280 --> 00:32:17,320 Speaker 8: of the end of the rally, you had to get 608 00:32:17,320 --> 00:32:19,400 Speaker 8: shoveled back to a parking lot that was away from 609 00:32:19,400 --> 00:32:20,840 Speaker 8: the venue. That was the only way you could get 610 00:32:20,880 --> 00:32:24,640 Speaker 8: in and out. The people that organized the show, that 611 00:32:24,680 --> 00:32:29,080 Speaker 8: were in charge of escorting people back did a horrible job. 612 00:32:29,320 --> 00:32:33,040 Speaker 8: The bus that did not refuel during the rally, and 613 00:32:33,080 --> 00:32:36,200 Speaker 8: then you're trying to get seventy five thousand people back 614 00:32:36,200 --> 00:32:39,640 Speaker 8: to their cars. They only had four or five buses 615 00:32:39,640 --> 00:32:40,040 Speaker 8: that hold. 616 00:32:40,280 --> 00:32:42,600 Speaker 2: Okay, well, we will we will reach out to the 617 00:32:42,640 --> 00:32:44,680 Speaker 2: team and the campaign and see if we can be 618 00:32:44,680 --> 00:32:48,120 Speaker 2: helpful about logistics next time. Kathy in Venice, Florida. 619 00:32:48,160 --> 00:32:52,480 Speaker 12: What's up, Kathy, Hey, thanks for taking my call. My 620 00:32:52,640 --> 00:32:55,200 Speaker 12: question to you was, well, since I've been listening for 621 00:32:55,280 --> 00:32:59,920 Speaker 12: many many months here, Clay Buck actually always says how 622 00:33:00,320 --> 00:33:02,840 Speaker 12: he believes Trump is going to win. Very comforting to 623 00:33:02,880 --> 00:33:05,680 Speaker 12: hear that, and now we hear that he's rising in 624 00:33:05,760 --> 00:33:09,440 Speaker 12: swing states, et cetera, et cetera. My question is why 625 00:33:09,520 --> 00:33:12,320 Speaker 12: do we continue to hear even on Fox News, death 626 00:33:12,400 --> 00:33:13,920 Speaker 12: of polls are so tight. 627 00:33:14,080 --> 00:33:17,320 Speaker 2: Okay, truly that is a no. Kathy's a very fair question, 628 00:33:17,440 --> 00:33:20,600 Speaker 2: very important question, and Clay and I are going to 629 00:33:20,680 --> 00:33:22,840 Speaker 2: have we'll have similar takes on it, but you know 630 00:33:22,840 --> 00:33:24,120 Speaker 2: he can weigh in on this too if I leave 631 00:33:24,160 --> 00:33:26,320 Speaker 2: any part of it out. The main thing is, any 632 00:33:26,560 --> 00:33:30,600 Speaker 2: national poll is a popular vote poll essentially, so you know, 633 00:33:30,680 --> 00:33:34,960 Speaker 2: if Trump, if Trump is tied nationally with Kamala Harris, 634 00:33:35,200 --> 00:33:38,080 Speaker 2: and that's actually what's going on, Trump wins, the electrocology 635 00:33:38,120 --> 00:33:40,760 Speaker 2: wins the election, right, That's part one of it. Part 636 00:33:40,760 --> 00:33:43,800 Speaker 2: two is if you look at what these polls are 637 00:33:43,840 --> 00:33:48,720 Speaker 2: saying now versus what the outcomes were, the real outcomes 638 00:33:49,000 --> 00:33:52,800 Speaker 2: in twenty twenty and twenty sixteen, Trump is on track 639 00:33:53,200 --> 00:33:56,680 Speaker 2: for a win based on previous margins of error and 640 00:33:57,200 --> 00:34:00,280 Speaker 2: actual vote tallies. Clay, how would you address that? Yeah? 641 00:34:00,320 --> 00:34:02,080 Speaker 1: The other thing I would add on top of that 642 00:34:02,520 --> 00:34:07,200 Speaker 1: is the battleground states tend to vote right of center. 643 00:34:07,800 --> 00:34:10,920 Speaker 1: So if it is nationwide, let's say it's tied up 644 00:34:10,960 --> 00:34:17,600 Speaker 1: at forty nine to forty nine, then North Carolina, Georgia, Arizona, Pennsylvania, Wisconsin, Michigan, 645 00:34:18,120 --> 00:34:22,880 Speaker 1: and Nevada all are closer to the right side of 646 00:34:22,920 --> 00:34:25,879 Speaker 1: that equation than they are to the left. The easy 647 00:34:25,920 --> 00:34:28,840 Speaker 1: way to think about this is the battles are being 648 00:34:28,920 --> 00:34:32,719 Speaker 1: fought on states that Democrats have to win. Of the 649 00:34:32,880 --> 00:34:37,520 Speaker 1: seven battleground states out there, only North Carolina was won 650 00:34:37,560 --> 00:34:41,200 Speaker 1: by Trump in twenty twenty. They are not contesting anywhere else. 651 00:34:41,239 --> 00:34:43,399 Speaker 1: And I thought that Ryan Garduski made a really good 652 00:34:43,680 --> 00:34:46,880 Speaker 1: analysis of this. He's skeptical, for instance, of the New 653 00:34:47,000 --> 00:34:50,320 Speaker 1: York Times poll that had it essentially a dead heat, 654 00:34:50,640 --> 00:34:53,840 Speaker 1: but then Pennsylvania with a three point lead for Harris 655 00:34:54,080 --> 00:34:58,040 Speaker 1: because Pennsylvania votes right of whatever the nation does. So 656 00:34:58,120 --> 00:34:59,920 Speaker 1: if we're dead, even Trump's gonna win. 657 00:35:00,480 --> 00:35:06,240 Speaker 2: Let's take Matt in Rockville, Maryland. What's going on, Matty? 658 00:35:06,320 --> 00:35:10,480 Speaker 7: Happy Colombus gyday guys, you too, sir. All right, I'm 659 00:35:10,480 --> 00:35:12,080 Speaker 7: a little wind to just got a back with a 660 00:35:12,120 --> 00:35:14,560 Speaker 7: bike rad celebrating it with my beautiful girlfriend, So good 661 00:35:14,600 --> 00:35:16,640 Speaker 7: for you. We wanted to talk about I wanted to 662 00:35:16,680 --> 00:35:19,279 Speaker 7: talk about your your appearance on the show, and as 663 00:35:19,280 --> 00:35:21,080 Speaker 7: you were talking about the struggles of men and you 664 00:35:21,120 --> 00:35:22,960 Speaker 7: know how their you know how they're dealing with having 665 00:35:22,960 --> 00:35:26,000 Speaker 7: to find second jobs. And then there's the Laura Coats 666 00:35:26,040 --> 00:35:28,360 Speaker 7: woman said Oh, well, now you know the inequities that 667 00:35:28,400 --> 00:35:31,600 Speaker 7: women feel, and she took pride in that. She took 668 00:35:31,640 --> 00:35:35,240 Speaker 7: pride in that men were doing worse. And it's really 669 00:35:35,280 --> 00:35:38,600 Speaker 7: not surprising from a party that doesn't believe that reverse 670 00:35:38,719 --> 00:35:41,240 Speaker 7: racism is real, it's not surprising that they don't believe 671 00:35:41,239 --> 00:35:42,920 Speaker 7: reverse sexism can be real. Oh. 672 00:35:42,960 --> 00:35:46,840 Speaker 2: Absolutely, absolutely point And I mean, notice how the Democrat 673 00:35:46,960 --> 00:35:49,439 Speaker 2: Party is so upside down when it comes to men 674 00:35:49,480 --> 00:35:53,160 Speaker 2: in masculinity that it is impossible for them to have 675 00:35:53,200 --> 00:35:57,000 Speaker 2: a conversation or try to get into an explanation of 676 00:35:57,040 --> 00:35:59,799 Speaker 2: what's going on. It's hey, let's talk about men and 677 00:35:59,800 --> 00:36:02,359 Speaker 2: what's going on with them? How dare you what about 678 00:36:02,400 --> 00:36:03,360 Speaker 2: women and minorities? 679 00:36:03,760 --> 00:36:06,239 Speaker 1: No, and Buck, I would just hammer on this too. 680 00:36:06,560 --> 00:36:09,120 Speaker 1: You know what percentage of college graduates are going to 681 00:36:09,160 --> 00:36:13,120 Speaker 1: be women in the most recent May sixty percent. 682 00:36:13,200 --> 00:36:15,520 Speaker 2: I was going to say fifty eight. Yeah, sixty sixty percent. 683 00:36:15,760 --> 00:36:19,120 Speaker 1: Imagine if men were still getting sixty percent of college degrees, 684 00:36:19,280 --> 00:36:22,120 Speaker 1: there would be outrage. Men have fallen behind. It's a 685 00:36:22,120 --> 00:36:24,759 Speaker 1: great point. It's not that women are rising, it's that 686 00:36:24,800 --> 00:36:27,120 Speaker 1: they're trying to drag down men in the process. And 687 00:36:27,160 --> 00:36:29,560 Speaker 1: many of you fill it out there, particularly if you've 688 00:36:29,600 --> 00:36:33,080 Speaker 1: got grandsons or you've got sons, if you're a woman 689 00:36:33,120 --> 00:36:36,879 Speaker 1: out there, you're seeing them struggle academically in a way 690 00:36:36,920 --> 00:36:40,359 Speaker 1: that girls are not. It's not helpful to drag down 691 00:36:40,400 --> 00:36:42,399 Speaker 1: half the country. I thought you made a good argument there. 692 00:36:42,480 --> 00:36:43,919 Speaker 1: We'll break down more of this next