1 00:00:00,120 --> 00:00:03,360 Speaker 1: Welcome to today's edition of the Clay Travis and Buck 2 00:00:03,400 --> 00:00:04,680 Speaker 1: Sexton Show podcast. 3 00:00:04,800 --> 00:00:09,440 Speaker 2: Welcome back in Clay Travis buck Sexton Show. We're going 4 00:00:09,480 --> 00:00:13,280 Speaker 2: through actual data open phone lines if you missed the 5 00:00:13,320 --> 00:00:17,640 Speaker 2: first hour. Now that the twenty twenty four election, pally 6 00:00:17,800 --> 00:00:21,920 Speaker 2: is basically finished, finished enough for the New York Times 7 00:00:21,960 --> 00:00:25,720 Speaker 2: to have in its Saturday newspaper the headline that Kamala 8 00:00:25,720 --> 00:00:28,720 Speaker 2: is going to get seven million fewer votes. Now that 9 00:00:28,720 --> 00:00:33,160 Speaker 2: that is out there, I'm just asking a question. Can 10 00:00:33,280 --> 00:00:39,240 Speaker 2: anyone in America explain how Joe Biden got eighty one 11 00:00:39,400 --> 00:00:44,440 Speaker 2: million votes and Kamala couldn't get more than seventy four million. 12 00:00:46,040 --> 00:00:51,520 Speaker 2: Where did the seven million votes that Joe Biden got 13 00:00:51,560 --> 00:00:55,600 Speaker 2: in twenty twenty go in twenty twenty four. That's particularly 14 00:00:55,600 --> 00:00:58,920 Speaker 2: the case when the overall number of people who can 15 00:00:59,040 --> 00:01:05,479 Speaker 2: vote has increased. So again, I think this is really significantly, 16 00:01:05,560 --> 00:01:09,000 Speaker 2: hugely important, and I've been wanting to talk about it 17 00:01:09,040 --> 00:01:09,520 Speaker 2: for a while. 18 00:01:09,640 --> 00:01:10,959 Speaker 1: Buck Away in, We're going to. 19 00:01:11,000 --> 00:01:13,240 Speaker 2: Have a real discussion about this because we don't believe 20 00:01:13,240 --> 00:01:18,840 Speaker 2: in shrinking sometimes from difficult or controversial topics. It's how 21 00:01:18,880 --> 00:01:21,160 Speaker 2: we met talking about COVID. Buck Is out by the 22 00:01:21,160 --> 00:01:24,520 Speaker 2: way this week Monday Tuesday, I'll be in Solo buck 23 00:01:24,640 --> 00:01:27,560 Speaker 2: Is with his family already starting Thanksgiving as many of 24 00:01:27,600 --> 00:01:29,679 Speaker 2: you are. We appreciate all of you listening all over 25 00:01:29,720 --> 00:01:33,120 Speaker 2: the country, indeed around the world. If you can't have 26 00:01:33,200 --> 00:01:39,600 Speaker 2: a conversation about a controversial topic, ask yourself why that is. 27 00:01:40,760 --> 00:01:44,880 Speaker 2: Why would adults not be able to talk about controversial things, 28 00:01:45,160 --> 00:01:48,320 Speaker 2: Who benefits from that? And why do they try to 29 00:01:48,360 --> 00:01:52,480 Speaker 2: restrict your ability to do so. I don't expect that 30 00:01:52,480 --> 00:01:55,480 Speaker 2: you're going to agree with everything that I say. After all, 31 00:01:55,520 --> 00:01:58,520 Speaker 2: some of you enjoy playing the flute and think that 32 00:01:58,520 --> 00:02:01,000 Speaker 2: that makes you more attractive. You're a man to women. 33 00:02:02,280 --> 00:02:04,400 Speaker 2: I think you're crazy if you want to make that argument. 34 00:02:04,560 --> 00:02:09,640 Speaker 2: But you can try. You can even put on tights, 35 00:02:10,760 --> 00:02:14,240 Speaker 2: and you can go up and down your street, marching 36 00:02:14,280 --> 00:02:17,280 Speaker 2: along playing the flute, just hoping that chicks are going 37 00:02:17,320 --> 00:02:19,040 Speaker 2: to come out of doors and line up behind you. 38 00:02:19,080 --> 00:02:19,880 Speaker 1: And maybe you're right. 39 00:02:21,160 --> 00:02:25,040 Speaker 2: Maybe you are just an unbelievable magnet for the opposite 40 00:02:25,080 --> 00:02:29,760 Speaker 2: sex and I'm totally wrong, and flute players get all 41 00:02:29,760 --> 00:02:32,800 Speaker 2: the chicks right. I'm willing to accept that I'm wrong, 42 00:02:35,360 --> 00:02:38,040 Speaker 2: mostly always right, but I'm willing to accept the fact. 43 00:02:37,840 --> 00:02:38,360 Speaker 1: That I'm wrong. 44 00:02:38,400 --> 00:02:41,560 Speaker 2: After all, have been married for twenty years, and I've 45 00:02:41,560 --> 00:02:43,519 Speaker 2: been told, trust me as any man who's been married 46 00:02:43,560 --> 00:02:46,120 Speaker 2: for twenty years, that you are frequently wrong on everything. 47 00:02:46,280 --> 00:02:50,560 Speaker 2: So I'm willing to accept that I am wrong. Open 48 00:02:50,639 --> 00:02:57,120 Speaker 2: Foam Line producer Greg is right there. I believe is 49 00:02:57,160 --> 00:03:01,240 Speaker 2: there a single person who is willing to argue in 50 00:03:01,320 --> 00:03:04,280 Speaker 2: America today or even around the world. Maybe a Monuel 51 00:03:04,360 --> 00:03:06,400 Speaker 2: Macrone wants to pick up the phone over on the 52 00:03:06,400 --> 00:03:10,519 Speaker 2: Shaunsey Lese in Paris. Maybe he believes that Joe Biden 53 00:03:10,600 --> 00:03:12,320 Speaker 2: got eighty one million votes and he knows that we 54 00:03:12,360 --> 00:03:14,640 Speaker 2: have the best radio show in the country, even better 55 00:03:14,680 --> 00:03:18,040 Speaker 2: than anything that they have in France. Although I will 56 00:03:18,080 --> 00:03:22,040 Speaker 2: say I'm gonna have some fun with this. I kind 57 00:03:22,040 --> 00:03:26,200 Speaker 2: of like the way the French women are protesting. Did 58 00:03:26,200 --> 00:03:29,200 Speaker 2: any of you see the video that I shared. French 59 00:03:29,240 --> 00:03:31,960 Speaker 2: women have decided that they should protest topless. 60 00:03:33,919 --> 00:03:37,120 Speaker 1: I'm more willing to listen, just gonna be honest with you. 61 00:03:38,800 --> 00:03:40,800 Speaker 2: For all the women out there who disagree with all 62 00:03:40,840 --> 00:03:45,000 Speaker 2: my opinions, if you show up and protest topless, I'm 63 00:03:45,000 --> 00:03:47,520 Speaker 2: gonna be honest with you. I am more likely to 64 00:03:47,640 --> 00:03:52,480 Speaker 2: consider the arguments that you are making French women, by 65 00:03:52,480 --> 00:03:54,720 Speaker 2: the way, a lot less fat than American women, sorry, 66 00:03:54,760 --> 00:03:58,280 Speaker 2: American women. Sage Steele pointed that out in the comments. 67 00:03:58,280 --> 00:04:01,760 Speaker 2: If you look at all the topless French women, not 68 00:04:01,840 --> 00:04:07,240 Speaker 2: saying they're all beautiful, not a lot of fatties. They're 69 00:04:07,240 --> 00:04:09,400 Speaker 2: in better shape somehow over there than they are here. 70 00:04:09,560 --> 00:04:13,240 Speaker 2: I'm just saying the left wing protesters that went topless, 71 00:04:13,280 --> 00:04:16,799 Speaker 2: a lot of them not gonna be that good looking. 72 00:04:16,800 --> 00:04:18,080 Speaker 1: But I'm still willing to listen. 73 00:04:18,320 --> 00:04:20,920 Speaker 2: So France, Manuel Macrone, if you happen to be listening, 74 00:04:21,920 --> 00:04:24,440 Speaker 2: I salute the French women who are topless protesting in 75 00:04:24,480 --> 00:04:26,800 Speaker 2: your country right now. I wish that's something that American 76 00:04:26,800 --> 00:04:30,400 Speaker 2: women would adopt. They want to have the massive women's 77 00:04:30,400 --> 00:04:32,279 Speaker 2: march to protest Trump, and all of them want to 78 00:04:32,279 --> 00:04:32,839 Speaker 2: go topless. 79 00:04:32,839 --> 00:04:38,800 Speaker 1: I'm more likely to consider their argument. But why can't 80 00:04:38,800 --> 00:04:39,680 Speaker 1: anybody call in? 81 00:04:40,160 --> 00:04:41,960 Speaker 2: People are gonna clip this, They're gonna be like Klay 82 00:04:42,000 --> 00:04:43,680 Speaker 2: Travis is an election denialist. 83 00:04:43,880 --> 00:04:47,760 Speaker 1: I'm not really. I'm just asking where are those seven 84 00:04:47,800 --> 00:04:51,280 Speaker 1: million people? How is not. 85 00:04:51,320 --> 00:04:54,039 Speaker 2: One person in America willing to call in right now? 86 00:04:54,760 --> 00:04:56,960 Speaker 2: And we got a lot of leftist Louns who listen 87 00:04:57,000 --> 00:04:58,839 Speaker 2: every day and they clipped the show and they're like. 88 00:04:58,839 --> 00:05:00,800 Speaker 1: Oh my god, did you see what what here? Book said? 89 00:05:00,839 --> 00:05:01,520 Speaker 1: That's how they talk. 90 00:05:03,880 --> 00:05:08,039 Speaker 2: Not one of them call in. Can we call the 91 00:05:08,040 --> 00:05:10,640 Speaker 2: White House? Can we see if Jill we'll we'll sign 92 00:05:10,720 --> 00:05:13,000 Speaker 2: up for Joe and say yes. Eighty one million people 93 00:05:13,000 --> 00:05:16,960 Speaker 2: love might Now even she's gonna make that argument New 94 00:05:17,040 --> 00:05:20,440 Speaker 2: York Times. I'm citing their data. I was waiting for 95 00:05:20,520 --> 00:05:22,760 Speaker 2: them to put it out there. The headline is, Kamala 96 00:05:22,839 --> 00:05:27,440 Speaker 2: gets seven point one million fewer votes. Trump gets two 97 00:05:27,480 --> 00:05:31,680 Speaker 2: point five million more votes. If I went and I said, hey, 98 00:05:31,720 --> 00:05:35,640 Speaker 2: do you buy this? In twenty sixteen, Trump got sixty 99 00:05:35,640 --> 00:05:36,640 Speaker 2: two point nine. 100 00:05:36,520 --> 00:05:38,600 Speaker 1: Million votes, he barely got over Hillary. 101 00:05:39,960 --> 00:05:44,560 Speaker 2: In twenty twenty, after America had four years of Trump, 102 00:05:45,279 --> 00:05:50,960 Speaker 2: Trump got seventy four million votes, eleven million more votes 103 00:05:51,000 --> 00:05:53,320 Speaker 2: in twenty twenty than he got in twenty sixteen. 104 00:05:53,400 --> 00:05:53,960 Speaker 1: I buy that. 105 00:05:54,760 --> 00:05:56,840 Speaker 2: I think a lot of people were skeptical of Trump 106 00:05:56,880 --> 00:05:58,880 Speaker 2: and they came around. I didn't vote for Trump in 107 00:05:58,920 --> 00:06:00,680 Speaker 2: twenty sixteen. I try to be as honest with you 108 00:06:00,720 --> 00:06:04,240 Speaker 2: as possible. I voted for the libertarian Gary Johnson. There's 109 00:06:04,240 --> 00:06:06,880 Speaker 2: probably some of you out there listening right now who 110 00:06:06,920 --> 00:06:10,920 Speaker 2: did the same. I'm admitting it publicly. Katie called in 111 00:06:10,960 --> 00:06:13,240 Speaker 2: from Alaska in the first hour. She admitted that she 112 00:06:13,360 --> 00:06:16,560 Speaker 2: voted for Biden in twenty twenty. Trump goes from six, 113 00:06:17,000 --> 00:06:21,800 Speaker 2: it's an open We're not gonna judge, it's open for him. 114 00:06:22,120 --> 00:06:24,200 Speaker 2: You can call in eight hundred and two two two 115 00:06:24,240 --> 00:06:27,520 Speaker 2: eight eight two sixty two point nine million votes twenty 116 00:06:27,560 --> 00:06:30,520 Speaker 2: sixteen for Trump. A lot of you liked what you saw, 117 00:06:30,600 --> 00:06:34,000 Speaker 2: including me. You became a Trump voter in twenty twenty 118 00:06:34,360 --> 00:06:38,640 Speaker 2: seventy four million Trump votes, and then in twenty twenty 119 00:06:38,680 --> 00:06:42,520 Speaker 2: four Trump took it to seventy seven million. He increased 120 00:06:42,560 --> 00:06:47,560 Speaker 2: the number by three million. Does the Democrat side of. 121 00:06:47,520 --> 00:06:48,719 Speaker 1: The ledger make sense? 122 00:06:50,440 --> 00:06:56,440 Speaker 2: Barack Obama Best Democrat politician, most popular Democrat politician of 123 00:06:56,480 --> 00:06:58,760 Speaker 2: all time, sixty nine and a half million votes in 124 00:06:58,800 --> 00:07:02,240 Speaker 2: two thousand and eight. Bot I do I think he 125 00:07:02,360 --> 00:07:05,920 Speaker 2: smoked John McCain. I think a lot of you out 126 00:07:05,920 --> 00:07:09,880 Speaker 2: there listening. I was one of them, younger, youthful. I 127 00:07:09,920 --> 00:07:11,360 Speaker 2: think a lot of you out there listening to me 128 00:07:11,440 --> 00:07:13,960 Speaker 2: right now voted Barack Obama in two thousand and eight. 129 00:07:14,000 --> 00:07:14,560 Speaker 1: I really do. 130 00:07:15,840 --> 00:07:19,440 Speaker 2: In fact, I bet there might be a million Obama 131 00:07:19,640 --> 00:07:22,480 Speaker 2: voters listening to us right now who voted Trump in 132 00:07:22,520 --> 00:07:23,280 Speaker 2: twenty twenty four. 133 00:07:23,360 --> 00:07:24,600 Speaker 1: That would not stun me at all. 134 00:07:25,440 --> 00:07:31,760 Speaker 2: Okay, twenty twelve, Barack Obama sixty five point nine million votes. 135 00:07:31,800 --> 00:07:36,520 Speaker 2: The thrill is gone a little bit. Mitt Romney got 136 00:07:36,560 --> 00:07:38,000 Speaker 2: sixty point nine million. 137 00:07:38,040 --> 00:07:38,560 Speaker 1: I buy it. 138 00:07:39,720 --> 00:07:43,600 Speaker 2: I buy Obama losing support in twenty twelve because hope 139 00:07:43,640 --> 00:07:46,520 Speaker 2: and joy wasn't coming through, was harder to get his 140 00:07:46,880 --> 00:07:51,360 Speaker 2: base out. Twenty sixteen, Hillary gets sixty five point eight 141 00:07:51,440 --> 00:07:56,120 Speaker 2: million votes, nearly identical to Obama twenty twelve. 142 00:07:57,160 --> 00:07:57,920 Speaker 1: Makes sense again. 143 00:07:57,960 --> 00:08:01,720 Speaker 2: Remember populations increasing, so the number of voters in each 144 00:08:01,720 --> 00:08:05,320 Speaker 2: of these elections a bit more. And then suddenly Joe 145 00:08:05,360 --> 00:08:09,559 Speaker 2: Biden gets eighty one million out of nowhere, he gets 146 00:08:09,640 --> 00:08:12,800 Speaker 2: sixteen million more votes than Hillary Clinton. 147 00:08:13,520 --> 00:08:14,200 Speaker 1: I don't buy it. 148 00:08:14,920 --> 00:08:18,800 Speaker 2: And then seven million fewer votes suddenly show up for 149 00:08:18,880 --> 00:08:22,280 Speaker 2: Kamala in twenty twenty four. If you're just looking at 150 00:08:22,280 --> 00:08:28,720 Speaker 2: this data, you star twenty twenty on the Democrat side 151 00:08:28,840 --> 00:08:33,640 Speaker 2: and you say, boy, this doesn't really add up what 152 00:08:33,760 --> 00:08:36,480 Speaker 2: is going on there? New York Times broke it down. 153 00:08:36,880 --> 00:08:40,080 Speaker 2: Not only did Kamala lose seven million votes in twenty 154 00:08:40,120 --> 00:08:45,439 Speaker 2: twenty four, they went into the battleground states and they 155 00:08:45,520 --> 00:08:51,640 Speaker 2: compared Arizona. Kamala Harris went down five percent in her 156 00:08:51,760 --> 00:08:56,000 Speaker 2: vote total. Donald Trump went up six percent. That's an 157 00:08:56,040 --> 00:09:01,560 Speaker 2: eleven point swing in Arizona. Again, things that make you 158 00:09:01,600 --> 00:09:07,120 Speaker 2: go hmm, eleven point swing. Everybody in Arizona knew Trump 159 00:09:07,120 --> 00:09:12,040 Speaker 2: in twenty in twenty twenty four, suddenly he's eleven points 160 00:09:12,080 --> 00:09:19,280 Speaker 2: better in Arizona. Georgia, Kamala actually went up. She improved 161 00:09:19,320 --> 00:09:24,680 Speaker 2: her numbers compared to Joe Biden. Trump went up eight. Okay, 162 00:09:25,679 --> 00:09:30,320 Speaker 2: somewhat interesting. Trump went up eight, took Georgia out of 163 00:09:30,320 --> 00:09:33,560 Speaker 2: the battleground area, won by one hundred thousand some odd votes. 164 00:09:34,320 --> 00:09:40,800 Speaker 2: How about Michigan, Trump went up six, Kamala went down three. 165 00:09:41,960 --> 00:09:46,040 Speaker 2: A nine point swing towards Trump in terms of these 166 00:09:46,040 --> 00:09:49,800 Speaker 2: are percentages. Doesn't that make you raise your eyebrows a 167 00:09:49,800 --> 00:09:56,400 Speaker 2: little bit? Michigan a nine point swing. Y'all voted for 168 00:09:56,480 --> 00:10:01,240 Speaker 2: Trump in twenty sixteen, so you liked them already, you 169 00:10:01,360 --> 00:10:05,360 Speaker 2: knew him in twenty and you swung nine points in 170 00:10:05,440 --> 00:10:14,480 Speaker 2: twenty twenty four. Nevada, Nevada twelve point swing to Trump. 171 00:10:17,760 --> 00:10:22,199 Speaker 2: Kamala Harris went up point two. So basically, Kamala produced 172 00:10:22,240 --> 00:10:27,040 Speaker 2: the exact same number. Trump numbers skyrocketed. That's a little 173 00:10:27,040 --> 00:10:29,280 Speaker 2: bit of an interesting one. That's one I would star 174 00:10:29,520 --> 00:10:34,680 Speaker 2: and say, hey, that's something more substantial going on. That's 175 00:10:34,800 --> 00:10:38,040 Speaker 2: Hispanic dudes being like I'm done with Democrats and that 176 00:10:38,080 --> 00:10:43,640 Speaker 2: should be alarming. That's my thesis there. North Carolina four 177 00:10:43,720 --> 00:10:48,000 Speaker 2: point swing to Trump. Trump went up five, Kamala went 178 00:10:48,120 --> 00:10:53,680 Speaker 2: up one. I trust North Carolina numbers. I do because Watley, 179 00:10:53,760 --> 00:11:00,319 Speaker 2: the RNC chair was there. Pennsylvania six point swing to Trump, 180 00:11:01,320 --> 00:11:05,760 Speaker 2: Kamala went down. She couldn't post the same numbers that 181 00:11:05,840 --> 00:11:11,480 Speaker 2: Biden did. Wisconsin three point swing to Trump. Now, these 182 00:11:11,520 --> 00:11:15,480 Speaker 2: are battlegrounds. This is where most of the money was distributed. 183 00:11:16,920 --> 00:11:24,360 Speaker 2: All fifty states. Trump improves on his numbers from twenty twenty. 184 00:11:24,760 --> 00:11:28,600 Speaker 1: All fifty states. Kamala is down again. 185 00:11:30,000 --> 00:11:34,000 Speaker 2: Not an eyebrow raise from anybody. The New York Times 186 00:11:34,040 --> 00:11:37,240 Speaker 2: has this data. I'm reading it from you. They have 187 00:11:37,280 --> 00:11:41,120 Speaker 2: a huge map. I'm holding it up for you. Harris 188 00:11:41,160 --> 00:11:45,760 Speaker 2: received seven point one million fewer votes. Trump received two 189 00:11:45,840 --> 00:11:51,080 Speaker 2: point five million more votes. Where did the seven million 190 00:11:51,600 --> 00:11:52,719 Speaker 2: Kamala voters go? 191 00:11:52,960 --> 00:11:53,800 Speaker 1: Some of them swung. 192 00:11:54,679 --> 00:11:57,960 Speaker 2: But we're still talking about millions and millions of people 193 00:11:58,800 --> 00:12:02,559 Speaker 2: that were not willing to show up and vote for Kamala, 194 00:12:02,720 --> 00:12:07,760 Speaker 2: who supposedly voted for Biden. Can one person justify the 195 00:12:07,880 --> 00:12:11,960 Speaker 2: eighty one million one person in America right now? I 196 00:12:12,040 --> 00:12:14,240 Speaker 2: believe the answer is no. So far, I'll take some 197 00:12:14,320 --> 00:12:17,400 Speaker 2: of your calls and we come back open for him. 198 00:12:18,480 --> 00:12:23,040 Speaker 2: Explain how your boy got eighty one million legitimately, honestly, 199 00:12:23,520 --> 00:12:29,120 Speaker 2: without any shenanigans, without any rule breaking, without any legality issues. 200 00:12:30,520 --> 00:12:35,000 Speaker 2: Millions listening right now, not one Biden person, not one. 201 00:12:35,120 --> 00:12:40,280 Speaker 2: Joe is the greatest president since George Washington. Not one 202 00:12:40,320 --> 00:12:41,080 Speaker 2: of you out there. 203 00:12:41,240 --> 00:12:45,160 Speaker 1: Hmm. Interesting, Let's talk about rapid radios for a moment. 204 00:12:45,240 --> 00:12:45,640 Speaker 1: Right now. 205 00:12:46,520 --> 00:12:48,480 Speaker 2: You will have, by the way, a full forum to 206 00:12:48,600 --> 00:12:52,080 Speaker 2: explain to everyone why Joe Biden is the greatest president, 207 00:12:52,120 --> 00:12:54,880 Speaker 2: the most popular president to ever run for office in 208 00:12:54,920 --> 00:12:55,840 Speaker 2: the history of the nation. 209 00:12:58,120 --> 00:13:02,200 Speaker 1: Not one person, not one of the eighty one million. Interesting. 210 00:13:03,320 --> 00:13:07,440 Speaker 2: Today, November twenty fifth means Christmas exactly one month from today, 211 00:13:07,480 --> 00:13:07,960 Speaker 2: Is that right? 212 00:13:08,080 --> 00:13:09,400 Speaker 1: I don't even know what day it is. 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That's rapid radios dot 232 00:14:15,480 --> 00:14:27,960 Speaker 2: Com up to sixty percent off rapid radios dot Com. 233 00:14:28,280 --> 00:14:31,160 Speaker 2: Clay Travis here, Happy Thanksgiving from all of us at 234 00:14:31,200 --> 00:14:33,240 Speaker 2: the Clay Travis and Buck Sexton Show. 235 00:14:34,680 --> 00:14:36,640 Speaker 1: Some of you are saying, what took you so long, Clay? 236 00:14:37,760 --> 00:14:39,920 Speaker 2: Why did you not weigh in on eighty one million? 237 00:14:40,000 --> 00:14:43,640 Speaker 2: I wanted to see the twenty twenty four data. I 238 00:14:43,800 --> 00:14:47,960 Speaker 2: was skeptical of the eighty one million in twenty twenty, 239 00:14:48,920 --> 00:14:52,440 Speaker 2: but I wanted to see what happened in twenty twenty four. 240 00:14:53,000 --> 00:14:53,960 Speaker 1: And now we have. 241 00:14:53,920 --> 00:14:57,480 Speaker 2: That data, and Trump's political career is over. But we 242 00:14:57,600 --> 00:15:02,120 Speaker 2: have twenty sixteen, twenty twenty, and twenty twenty four that 243 00:15:02,160 --> 00:15:06,440 Speaker 2: we can all look at, pour over and analyze. There's 244 00:15:06,520 --> 00:15:09,840 Speaker 2: no way to explain the Democrat eighty one million votes 245 00:15:09,880 --> 00:15:13,720 Speaker 2: in twenty twenty in my opinion, based on rational adult 246 00:15:13,840 --> 00:15:18,600 Speaker 2: analysis of the facts. Ashley in Virginia wants to weigh in. 247 00:15:18,760 --> 00:15:21,160 Speaker 2: She says she has three big points, Ashley, what you 248 00:15:21,160 --> 00:15:21,640 Speaker 2: got for me? 249 00:15:22,720 --> 00:15:26,160 Speaker 3: All right? Point number one is, since we're going by 250 00:15:26,160 --> 00:15:29,480 Speaker 3: the numbers, can you counter the number of votes with 251 00:15:29,640 --> 00:15:32,120 Speaker 3: the amount of liberals that died of COVID Because as 252 00:15:32,120 --> 00:15:35,040 Speaker 3: far as I know, more liberal liberals died of COVID 253 00:15:35,200 --> 00:15:37,920 Speaker 3: in the at least in the news that I saw 254 00:15:38,080 --> 00:15:39,160 Speaker 3: than conservatives. 255 00:15:39,200 --> 00:15:40,480 Speaker 1: Point number two is. 256 00:15:40,440 --> 00:15:44,680 Speaker 3: I challenge you to listen to Locomotive Breath with Jethro 257 00:15:44,800 --> 00:15:47,440 Speaker 3: Tall and not think that that is a cool flute 258 00:15:47,440 --> 00:15:50,440 Speaker 3: solo in the middle of the song. And number three 259 00:15:51,040 --> 00:15:53,880 Speaker 3: is that fringe women may be center, but they do 260 00:15:53,920 --> 00:15:55,280 Speaker 3: not shave their armpits. 261 00:15:55,680 --> 00:15:57,640 Speaker 2: All right, I'm gonna take these in reverse order. You've 262 00:15:57,640 --> 00:16:00,840 Speaker 2: made three compelling arguments, Ashley. I appreciate you listening and calling. 263 00:16:00,880 --> 00:16:05,320 Speaker 2: In one, based on diligent review of the topless French 264 00:16:05,320 --> 00:16:08,960 Speaker 2: women in the protest outside of the Louver, they all 265 00:16:09,000 --> 00:16:12,200 Speaker 2: shaved their pits. Now, I was not focused on the 266 00:16:12,200 --> 00:16:15,160 Speaker 2: pits initially. To be honest, when I see topless women, 267 00:16:15,240 --> 00:16:17,160 Speaker 2: they tend to get the boobs, tend to get my attention. 268 00:16:17,920 --> 00:16:20,320 Speaker 2: I did go back and look though, in in order 269 00:16:20,360 --> 00:16:22,320 Speaker 2: to be a great journalist and to be honest with 270 00:16:22,360 --> 00:16:24,760 Speaker 2: all of you, I may have watched a couple of times, 271 00:16:25,040 --> 00:16:26,920 Speaker 2: and I have to tell you they shave their pits. 272 00:16:26,960 --> 00:16:28,320 Speaker 1: So you're wrong on point three. 273 00:16:28,400 --> 00:16:30,640 Speaker 2: Maybe they only shave their pits because they knew they 274 00:16:30,640 --> 00:16:33,520 Speaker 2: were going to be topless. But I do remember that accusation. 275 00:16:33,920 --> 00:16:36,880 Speaker 2: I think it's a scandalous one. Based on my astute review, 276 00:16:37,240 --> 00:16:43,120 Speaker 2: diligent review of their protest, that is not true. Point two, Ashley, 277 00:16:43,840 --> 00:16:47,000 Speaker 2: if you had to pick a man to date based 278 00:16:47,040 --> 00:16:48,760 Speaker 2: on an instrument that he played. 279 00:16:49,520 --> 00:16:50,720 Speaker 1: Where would the flute rank? 280 00:16:52,360 --> 00:16:54,280 Speaker 3: I mean, trot was cool? 281 00:16:55,000 --> 00:16:59,240 Speaker 2: Okay, if I give you, if I give you the drums, 282 00:17:00,200 --> 00:17:04,160 Speaker 2: the guitar, and the flute, which man are you picking? 283 00:17:06,160 --> 00:17:12,879 Speaker 3: It's a family show. But I'm just gonna say I 284 00:17:12,920 --> 00:17:15,720 Speaker 3: think that I think that a flute player could be sexy. 285 00:17:15,920 --> 00:17:18,640 Speaker 2: Okay, I gave you three instruments. The fact that you're 286 00:17:18,680 --> 00:17:21,160 Speaker 2: refusing to answer is in and of itself. I think 287 00:17:21,200 --> 00:17:24,760 Speaker 2: the answer and then uh, yes, you're right. Everybody who 288 00:17:26,520 --> 00:17:28,200 Speaker 2: the COVID Thank you for the call. By the way, Ashley, 289 00:17:28,240 --> 00:17:28,720 Speaker 2: really good call. 290 00:17:29,480 --> 00:17:30,640 Speaker 1: The COVID death numbers. 291 00:17:30,880 --> 00:17:34,320 Speaker 2: I mean, I'm sorry, Like this is another thing where 292 00:17:34,320 --> 00:17:37,919 Speaker 2: you have to be honest and rational. If you got 293 00:17:37,960 --> 00:17:41,960 Speaker 2: in a car accident and you died, which I wish 294 00:17:42,040 --> 00:17:44,640 Speaker 2: no one would ever die. No one hates death more 295 00:17:44,680 --> 00:17:48,840 Speaker 2: than me, they counted you as a COVID death, like 296 00:17:49,680 --> 00:17:51,320 Speaker 2: the entire era that. 297 00:17:51,200 --> 00:17:51,960 Speaker 1: We went through. 298 00:17:52,840 --> 00:17:56,920 Speaker 2: If you died with like eighteen different illnesses as many 299 00:17:56,920 --> 00:18:01,800 Speaker 2: people do, you went down as a COVID death. I 300 00:18:01,880 --> 00:18:04,120 Speaker 2: just I can't believe we still and I know you're 301 00:18:04,119 --> 00:18:06,560 Speaker 2: making fun of it as well. Great call from Ashley, 302 00:18:06,600 --> 00:18:10,119 Speaker 2: By the way, although all the flute players are, she 303 00:18:10,160 --> 00:18:10,959 Speaker 2: did not defend. 304 00:18:10,960 --> 00:18:13,280 Speaker 1: You see how quickly she just tried to pivot. 305 00:18:13,320 --> 00:18:16,720 Speaker 2: Pivot shift does like when Kamala got asked about the 306 00:18:16,720 --> 00:18:17,720 Speaker 2: border pivot shift. 307 00:18:18,280 --> 00:18:19,480 Speaker 1: I want to tell you what I have to talk 308 00:18:19,480 --> 00:18:20,400 Speaker 1: about right here, Chalk. 309 00:18:21,160 --> 00:18:23,439 Speaker 2: If you want to not be a flute player and 310 00:18:23,520 --> 00:18:25,159 Speaker 2: you want to get the kind of girls that the 311 00:18:25,160 --> 00:18:27,840 Speaker 2: guys who played the guitar and played the drums got. 312 00:18:28,040 --> 00:18:32,040 Speaker 2: If you want to get quarterback girlfriend status, you got 313 00:18:32,040 --> 00:18:35,040 Speaker 2: to have decent testosterone. Get hooked up right now with 314 00:18:35,160 --> 00:18:38,919 Speaker 2: Chalk's Male Vitality Stack. It is proven to replenish twenty 315 00:18:38,920 --> 00:18:42,720 Speaker 2: percent of disminished testosterone levels and men within just three months. 316 00:18:43,480 --> 00:18:46,280 Speaker 2: That's your main source of energy testosterone. They also have 317 00:18:46,320 --> 00:18:49,240 Speaker 2: a female vitality stack, so you can protest as well 318 00:18:49,440 --> 00:18:51,879 Speaker 2: as all the French women topless out there. Get hooked 319 00:18:51,920 --> 00:18:55,120 Speaker 2: up right now at chalk dot com. At choq dot 320 00:18:55,119 --> 00:18:58,640 Speaker 2: com text five zero chalk three thousand. If you want 321 00:18:58,680 --> 00:19:01,880 Speaker 2: to talk to somebody in person, that's five zero chalk 322 00:19:01,920 --> 00:19:03,560 Speaker 2: three thousand chalk dot com. 323 00:19:03,600 --> 00:19:12,199 Speaker 1: Get hooked up today. We've got a lot of you 324 00:19:12,240 --> 00:19:12,800 Speaker 1: went away. 325 00:19:12,640 --> 00:19:14,320 Speaker 2: And I'm gonna ask Producer ally, I haven't been able 326 00:19:14,359 --> 00:19:18,440 Speaker 2: to keep tabs on everything, as you guys have been deluging. 327 00:19:18,040 --> 00:19:20,359 Speaker 1: Us with reaction, But I do want to hit you 328 00:19:20,400 --> 00:19:21,040 Speaker 1: with some news. 329 00:19:21,080 --> 00:19:24,160 Speaker 2: It is Thanksgiving week, probably going to be a slower 330 00:19:24,240 --> 00:19:27,040 Speaker 2: week for news, but this just happened in the last 331 00:19:27,040 --> 00:19:30,640 Speaker 2: ten minutes. Jack Smith definitely ties in with everything we're 332 00:19:30,640 --> 00:19:36,879 Speaker 2: talking about. Has dropped his Washington DC case against Donald Trump. 333 00:19:37,840 --> 00:19:41,880 Speaker 2: So the Judge Hutkin case, the one that was going 334 00:19:41,960 --> 00:19:44,520 Speaker 2: to prove beyond the shadow of a doubt that Trump 335 00:19:45,960 --> 00:19:49,840 Speaker 2: was guilty of a variety of different offenses related to 336 00:19:49,880 --> 00:19:55,160 Speaker 2: the twenty twenty election, is now dropped. South Florida dropped, 337 00:19:55,800 --> 00:20:00,520 Speaker 2: New York City and Atlanta cases on life support. Doesn't 338 00:20:00,520 --> 00:20:03,800 Speaker 2: this tie in with the what happened in the twenty 339 00:20:03,880 --> 00:20:09,520 Speaker 2: twenty election narrative? Think about where we are in addition 340 00:20:09,560 --> 00:20:12,280 Speaker 2: to it collapsing from a law fair perspective, because I 341 00:20:12,280 --> 00:20:16,200 Speaker 2: think it actually benefited Donald Trump in the political arena. 342 00:20:17,320 --> 00:20:19,600 Speaker 2: They were going to put Donald Trump in prison for 343 00:20:19,640 --> 00:20:21,760 Speaker 2: the rest of his life if he had lost this election. 344 00:20:23,040 --> 00:20:23,840 Speaker 1: That was their plan. 345 00:20:23,920 --> 00:20:26,560 Speaker 2: Now maybe they would have ended up pardoning him. Who 346 00:20:26,600 --> 00:20:28,800 Speaker 2: knows what the end result would have been. I don't 347 00:20:28,800 --> 00:20:32,440 Speaker 2: claim to know the full political calculus here. They thought 348 00:20:32,440 --> 00:20:35,280 Speaker 2: it would harm him. It didn't because enough good Americans 349 00:20:35,320 --> 00:20:38,760 Speaker 2: out there were willing to recognize that we had crossed 350 00:20:38,760 --> 00:20:41,360 Speaker 2: the rubicon in trying to put your chief political opponent 351 00:20:41,440 --> 00:20:43,080 Speaker 2: in prison for the rest of his life as an 352 00:20:43,119 --> 00:20:45,919 Speaker 2: awful precedent to set and is what has happened in 353 00:20:45,920 --> 00:20:49,000 Speaker 2: many banana republics around the world which no longer have 354 00:20:49,080 --> 00:20:52,760 Speaker 2: functional democracies. And many of you out there recognized that 355 00:20:52,800 --> 00:20:56,440 Speaker 2: the actual threat to democracy wasn't a riot on January sixth. 356 00:20:57,080 --> 00:21:01,560 Speaker 2: It was Democrats and their Department of Justice trying to 357 00:21:01,560 --> 00:21:03,960 Speaker 2: put prison President Trump in prison for the rest of 358 00:21:04,000 --> 00:21:05,479 Speaker 2: his life. 359 00:21:05,640 --> 00:21:07,320 Speaker 1: But they just dropped all charges. 360 00:21:09,880 --> 00:21:12,920 Speaker 2: I mean, I know it's not going to get a 361 00:21:12,960 --> 00:21:16,680 Speaker 2: lot of attention because much of the media is totally 362 00:21:16,760 --> 00:21:20,560 Speaker 2: rigged in favor of claiming that Trump is Hitler and 363 00:21:20,640 --> 00:21:23,000 Speaker 2: a unique threat to American democracy and all of that, 364 00:21:23,040 --> 00:21:28,359 Speaker 2: but all of us should recognize they spent years saying 365 00:21:28,800 --> 00:21:34,199 Speaker 2: Trump challenging the legitimacy of the twenty twenty election was 366 00:21:34,320 --> 00:21:36,679 Speaker 2: such a threat to our country that he needed to 367 00:21:36,680 --> 00:21:40,760 Speaker 2: spend the rest of his life in prison, and as 368 00:21:40,800 --> 00:21:44,320 Speaker 2: soon as he wins reelection, they drop all the cases. 369 00:21:47,040 --> 00:21:51,479 Speaker 2: How much stronger evidence do you need that all of 370 00:21:51,520 --> 00:21:54,080 Speaker 2: this was political bs, which is what Buck and I 371 00:21:54,200 --> 00:21:56,119 Speaker 2: told you for years, and I know what many of 372 00:21:56,160 --> 00:21:59,480 Speaker 2: you understood to be the case. But if this was 373 00:21:59,600 --> 00:22:03,520 Speaker 2: really it's an important case, you wouldn't drop it right now. 374 00:22:03,560 --> 00:22:06,840 Speaker 2: You would try and accelerate it while you still have 375 00:22:07,000 --> 00:22:10,520 Speaker 2: some form of political power until January twentieth, when Donald 376 00:22:10,520 --> 00:22:13,320 Speaker 2: Trump raises his right hand, rolls into the White House 377 00:22:14,160 --> 00:22:18,560 Speaker 2: and becomes President of the United States. I hope Jack 378 00:22:18,600 --> 00:22:21,000 Speaker 2: Smith has to answer questions about what he tried to do. 379 00:22:21,760 --> 00:22:24,480 Speaker 2: I hope Merrick Garland has to answer questions about what 380 00:22:24,520 --> 00:22:30,480 Speaker 2: he's trying to do. Look, they rigged the twenty twenty election, 381 00:22:30,680 --> 00:22:33,360 Speaker 2: I think based on the data. Now you can disagree 382 00:22:33,359 --> 00:22:37,400 Speaker 2: with me. We can argue about what rigged means, to 383 00:22:37,440 --> 00:22:40,600 Speaker 2: what extent is rig criminal, to what extent is it 384 00:22:40,680 --> 00:22:43,640 Speaker 2: on the borderline with harvesting ballots and all this stuff. 385 00:22:44,960 --> 00:22:48,840 Speaker 2: But we still have open phone lines, millions of you 386 00:22:48,920 --> 00:22:52,919 Speaker 2: out there listening. I believe the answer is zero people 387 00:22:52,920 --> 00:22:55,440 Speaker 2: have called in to tell us that Joe Biden got 388 00:22:55,440 --> 00:22:59,760 Speaker 2: eighty one million legal and lawful votes in twenty twenty. 389 00:23:00,160 --> 00:23:03,240 Speaker 2: Seems kind of important to me, Ali, I know there's 390 00:23:03,280 --> 00:23:08,320 Speaker 2: a lot of people weighing in and uh. In fact, 391 00:23:08,359 --> 00:23:10,399 Speaker 2: I've got one of these right now that I wanted 392 00:23:10,400 --> 00:23:12,639 Speaker 2: to read because I thought it was particularly well said 393 00:23:12,760 --> 00:23:18,960 Speaker 2: VIP email from Alex. The narrative in twenty twenty around 394 00:23:19,000 --> 00:23:24,520 Speaker 2: Biden's record breaking eighty one million votes was that Americans 395 00:23:24,520 --> 00:23:27,520 Speaker 2: were so sick of Trump they showed up in record 396 00:23:27,640 --> 00:23:30,720 Speaker 2: numbers to vote against him. That's his opening sentence. Let 397 00:23:30,720 --> 00:23:32,840 Speaker 2: me say that's one hundred percent what the narrative was. 398 00:23:34,200 --> 00:23:38,199 Speaker 2: Are we supposed to believe those same voters couldn't be 399 00:23:38,359 --> 00:23:42,000 Speaker 2: bothered to show up to stop the exact same Donald 400 00:23:42,000 --> 00:23:46,639 Speaker 2: Trump again in twenty twenty four, even after January sixth. 401 00:23:47,640 --> 00:23:50,040 Speaker 2: I mean, I think that's a very good email that 402 00:23:50,119 --> 00:23:52,959 Speaker 2: succinctly asked questions that adults should be asking. 403 00:23:53,119 --> 00:23:56,680 Speaker 1: Again, Alex, if so many. 404 00:23:56,480 --> 00:24:00,879 Speaker 2: People out there, eighty one million people were uniquely threatened 405 00:24:01,560 --> 00:24:06,440 Speaker 2: by what Donald Trump represented in this country, how would 406 00:24:06,480 --> 00:24:10,840 Speaker 2: you not still believe that in twenty twenty four, when 407 00:24:11,040 --> 00:24:14,920 Speaker 2: everyone in the media that you listened to was beating 408 00:24:14,960 --> 00:24:17,480 Speaker 2: that he's hitler drum, He's going to be a dictator. 409 00:24:19,560 --> 00:24:25,000 Speaker 2: How would that not have worked? Again, if you were 410 00:24:25,160 --> 00:24:29,400 Speaker 2: so convinced in twenty twenty that Trump was a unique 411 00:24:29,440 --> 00:24:33,800 Speaker 2: threat to American democracy and had to be replaced such 412 00:24:33,880 --> 00:24:36,720 Speaker 2: that people didn't show up to vote for Joe Biden, 413 00:24:37,359 --> 00:24:41,040 Speaker 2: they showed up to vote against Trump, why didn't that 414 00:24:41,119 --> 00:24:45,800 Speaker 2: happen in twenty twenty four. I think it is a 415 00:24:45,840 --> 00:24:48,480 Speaker 2: fabulous question that there isn't a good answer to, much 416 00:24:48,600 --> 00:24:51,800 Speaker 2: like you know what Trump. When Buck and I went 417 00:24:51,840 --> 00:24:54,480 Speaker 2: down and interviewed Trump at mar A Lago right after 418 00:24:54,560 --> 00:24:59,400 Speaker 2: the invasion of Ukraine happened by Russia, that interview got 419 00:24:59,400 --> 00:24:59,920 Speaker 2: a lot of atten. 420 00:25:01,280 --> 00:25:03,840 Speaker 1: We came on and we said, and I've never heard 421 00:25:03,880 --> 00:25:04,879 Speaker 1: a good argument for it. 422 00:25:06,400 --> 00:25:09,800 Speaker 2: If Trump were truly in the pocket of Vladimir Putin, 423 00:25:10,880 --> 00:25:15,439 Speaker 2: if Russia Russia Russia was a thing, if collusion existed, 424 00:25:15,600 --> 00:25:20,679 Speaker 2: and Trump were the Manchurian candidate, why did Vladimir Putin 425 00:25:20,760 --> 00:25:23,920 Speaker 2: wait until Trump was no longer president. 426 00:25:23,960 --> 00:25:29,000 Speaker 1: To invade Ukraine? There isn't an answer. 427 00:25:29,040 --> 00:25:31,520 Speaker 2: You know how, when you ask someone who pays attention 428 00:25:31,560 --> 00:25:35,680 Speaker 2: to foreign policy say okay, I'm just going to accept 429 00:25:35,800 --> 00:25:38,359 Speaker 2: the premise of your argument. There's an aspect of the 430 00:25:38,440 --> 00:25:43,320 Speaker 2: law you get trained where they say, hey, for purposes, 431 00:25:43,320 --> 00:25:46,680 Speaker 2: For instance, to avoid summary judgment. Summary judgment will get 432 00:25:46,680 --> 00:25:49,439 Speaker 2: a case dismissed. You have to presume that all the 433 00:25:49,480 --> 00:25:51,879 Speaker 2: factual allegations. 434 00:25:51,160 --> 00:25:53,600 Speaker 1: In a complaint are true. 435 00:25:53,960 --> 00:25:57,120 Speaker 2: And if you can get a case dismissed a lot 436 00:25:57,160 --> 00:25:59,600 Speaker 2: of times, you have to do that by saying, Okay, 437 00:26:00,080 --> 00:26:04,200 Speaker 2: even if everything in here is true, they still haven't 438 00:26:04,240 --> 00:26:09,480 Speaker 2: made a case. So if you presume everything is true 439 00:26:09,520 --> 00:26:11,359 Speaker 2: about what they tried to say about Trump and Russia, 440 00:26:11,960 --> 00:26:13,679 Speaker 2: say okay, you know, I'm going to go into the 441 00:26:13,880 --> 00:26:19,400 Speaker 2: Rachel Maddow fever dream world where Trump is a Russian asset? 442 00:26:20,119 --> 00:26:25,600 Speaker 2: Why didn't Russia invade Ukraine then when Trump was in office? 443 00:26:25,840 --> 00:26:28,719 Speaker 2: Why did they wait until Biden was in office. They 444 00:26:28,760 --> 00:26:34,200 Speaker 2: don't have an explanation. They don't have an explanation at all. 445 00:26:34,240 --> 00:26:36,600 Speaker 2: And my question for you would be similar with this 446 00:26:36,720 --> 00:26:39,040 Speaker 2: Jack Smith case and also for the eighty one million 447 00:26:40,720 --> 00:26:43,320 Speaker 2: how can you explain the math? And this is why 448 00:26:43,320 --> 00:26:45,800 Speaker 2: I say I wanted to wait. Some people wanted to 449 00:26:45,880 --> 00:26:48,760 Speaker 2: jump in the waters really early, and we got a 450 00:26:48,760 --> 00:26:50,959 Speaker 2: lot of those emails from people saying, why are you 451 00:26:51,000 --> 00:26:53,640 Speaker 2: talking about the election numbers? I'm like, okay, well they're 452 00:26:53,720 --> 00:26:56,720 Speaker 2: still counting and we can agree that it's ridiculous that 453 00:26:56,760 --> 00:27:00,360 Speaker 2: we have election season and it takes three weeks on 454 00:27:00,400 --> 00:27:05,160 Speaker 2: Saturday when I'm reading left wing media as I do 455 00:27:05,240 --> 00:27:08,760 Speaker 2: every single day to prepare for you this show, because 456 00:27:08,840 --> 00:27:12,160 Speaker 2: I want to know every argument, up and down, backwards 457 00:27:12,160 --> 00:27:12,879 Speaker 2: and forwards. 458 00:27:13,080 --> 00:27:14,040 Speaker 1: When I am. 459 00:27:13,920 --> 00:27:17,120 Speaker 2: Holding up key to Trump's win, big losses for Harris 460 00:27:17,160 --> 00:27:20,560 Speaker 2: across the country, and they have a huge map and 461 00:27:20,600 --> 00:27:23,680 Speaker 2: it's showing that Kamala Harris got seven point one million 462 00:27:23,720 --> 00:27:27,639 Speaker 2: fewer votes. I think it is a worthy question to ask, 463 00:27:28,920 --> 00:27:33,160 Speaker 2: where did those voters go? If they were so motivated 464 00:27:33,160 --> 00:27:36,160 Speaker 2: to vote against Trump? Wouldn't they have been more motivated 465 00:27:36,200 --> 00:27:40,119 Speaker 2: in twenty twenty four, because remember the election happened before 466 00:27:40,240 --> 00:27:44,760 Speaker 2: January sixth. It's a great question asked by one of 467 00:27:44,800 --> 00:27:49,840 Speaker 2: our VIPs. When they don't have answers, When they do 468 00:27:49,880 --> 00:27:53,560 Speaker 2: not have answers for the questions that you are asking, 469 00:27:55,320 --> 00:27:59,119 Speaker 2: that should be a moment of introspection for you. You 470 00:27:59,160 --> 00:28:03,600 Speaker 2: should ask why when they don't try to argue against you, 471 00:28:04,240 --> 00:28:07,880 Speaker 2: when they say you're not even allowed to have that conversation. 472 00:28:09,040 --> 00:28:11,640 Speaker 2: This is why I ended up changing, frankly, the way 473 00:28:11,680 --> 00:28:15,760 Speaker 2: I vote. I'm a data guy. I would look at arguments, 474 00:28:16,440 --> 00:28:18,960 Speaker 2: and people would say, well, you know, cops are killing 475 00:28:18,960 --> 00:28:21,760 Speaker 2: they're just executing black people all the time. Well, that 476 00:28:21,800 --> 00:28:26,560 Speaker 2: sounds awful. Let me look at the data. Oh, you're 477 00:28:26,600 --> 00:28:29,680 Speaker 2: telling me that seventy five percent of the people that 478 00:28:29,760 --> 00:28:32,280 Speaker 2: are shot and killed by police every year are white, 479 00:28:32,760 --> 00:28:37,160 Speaker 2: Asian or Hispanic. Man, If cops are really just trying 480 00:28:37,160 --> 00:28:39,560 Speaker 2: to kill black guys, it's, by the way, only men 481 00:28:39,800 --> 00:28:42,800 Speaker 2: who get shot, by and large, they're doing a really 482 00:28:42,840 --> 00:28:46,240 Speaker 2: bad job of it. If your goal was to be 483 00:28:46,400 --> 00:28:49,320 Speaker 2: racist and legally kill black people, man, it seems like 484 00:28:49,360 --> 00:28:52,800 Speaker 2: a lot of work to go become a cop. Bust 485 00:28:52,840 --> 00:28:58,680 Speaker 2: your asset training, do that for years, that job for years. Also, 486 00:28:58,800 --> 00:29:01,680 Speaker 2: you can one day kill black guy like that seems 487 00:29:01,720 --> 00:29:06,240 Speaker 2: really inefficient, And that's why I would say, okay, well, 488 00:29:06,320 --> 00:29:09,360 Speaker 2: let me presume that you're telling the truth here. If 489 00:29:09,360 --> 00:29:12,800 Speaker 2: you think the cops are racist, aren't they way way 490 00:29:12,800 --> 00:29:16,120 Speaker 2: more sexist? So what do you mean, Well, you know, 491 00:29:16,280 --> 00:29:20,440 Speaker 2: like ninety five percent of people arrested or male men 492 00:29:20,440 --> 00:29:24,520 Speaker 2: are only half the population. Why are women just out 493 00:29:24,560 --> 00:29:28,120 Speaker 2: there committing crimes like crazy? 494 00:29:28,280 --> 00:29:29,240 Speaker 1: And cops don't care? 495 00:29:30,040 --> 00:29:34,000 Speaker 2: It has to be sexism, right, And they get really 496 00:29:34,080 --> 00:29:39,080 Speaker 2: quiet or you can bring up age. Why are all 497 00:29:39,160 --> 00:29:44,120 Speaker 2: these old women? Why are grandmas just committing crimes of violence? 498 00:29:44,600 --> 00:29:46,360 Speaker 1: I can't even go to the mall. 499 00:29:46,160 --> 00:29:48,720 Speaker 2: Without an old woman picking up or walker and just 500 00:29:48,840 --> 00:29:54,040 Speaker 2: knocking people out. Oh, old people don't commit very many crimes. 501 00:29:54,120 --> 00:29:57,040 Speaker 1: No they don't. Oh women don't commit very many crimes. 502 00:29:57,080 --> 00:29:57,640 Speaker 1: Oh no they don't. 503 00:29:59,200 --> 00:30:03,680 Speaker 2: Well, so it's not agism and it's not sexism. So 504 00:30:04,520 --> 00:30:07,880 Speaker 2: why are they racist? Well, young men commit the vast 505 00:30:07,920 --> 00:30:10,240 Speaker 2: majority of the crime. That's what the data shows, right, 506 00:30:11,360 --> 00:30:14,960 Speaker 2: And it's not even just young men, it's men. Hey, 507 00:30:15,000 --> 00:30:16,800 Speaker 2: I guess it depends on how you define young. Right, 508 00:30:16,880 --> 00:30:19,480 Speaker 2: I'm forty five. Some of you would say I'm young. 509 00:30:19,560 --> 00:30:22,240 Speaker 2: If you're eighty five, i'm a young man. If you're twenty, 510 00:30:22,280 --> 00:30:25,800 Speaker 2: I'm an old dude. Right, But almost all violent crimes 511 00:30:25,800 --> 00:30:33,840 Speaker 2: committed by men sixteen to forty ish, and overwhelming amounts 512 00:30:33,840 --> 00:30:37,880 Speaker 2: of violent crime are committed within that sixteen to forty 513 00:30:38,040 --> 00:30:43,000 Speaker 2: age range by young black men. Young black men represent 514 00:30:43,040 --> 00:30:47,640 Speaker 2: about six percent of the overall population, less than that 515 00:30:47,720 --> 00:30:51,320 Speaker 2: two or three percent, and they're committing over half of 516 00:30:51,360 --> 00:30:56,000 Speaker 2: all violent crime. So if you wanted to address violent crime, 517 00:30:57,040 --> 00:31:00,120 Speaker 2: the police would typically be responding to violent crime. The 518 00:31:00,240 --> 00:31:03,800 Speaker 2: data doesn't support at all the idea that police are rasis. 519 00:31:04,080 --> 00:31:07,800 Speaker 2: But when you would have that conversation, people would say, well, 520 00:31:08,720 --> 00:31:11,440 Speaker 2: this is not really a conversation we should have. Racism 521 00:31:11,520 --> 00:31:15,120 Speaker 2: is just bad, and you are enabling racism if you're 522 00:31:15,240 --> 00:31:20,480 Speaker 2: actually diving into the data and looking at the numbers. Well, here, 523 00:31:21,200 --> 00:31:23,000 Speaker 2: I think we have to look at the numbers on 524 00:31:23,120 --> 00:31:26,760 Speaker 2: the eighty one million votes, and there should be alarm 525 00:31:26,800 --> 00:31:31,320 Speaker 2: bells going off about what happened in twenty twenty and 526 00:31:31,440 --> 00:31:35,920 Speaker 2: Jack Smith suddenly dropping the race, dropping the case. Oh 527 00:31:36,800 --> 00:31:39,560 Speaker 2: the race is over now, there's no point in figuring 528 00:31:39,600 --> 00:31:44,480 Speaker 2: out what happened Again, I think you should be contemplating 529 00:31:44,520 --> 00:31:49,680 Speaker 2: to yourself, Wait, why and what does the data set 530 00:31:49,760 --> 00:31:53,600 Speaker 2: that we now have from twenty twenty four tell us 531 00:31:53,640 --> 00:31:59,680 Speaker 2: about twenty twenty rational reasonable analysis of two thousand and 532 00:31:59,720 --> 00:32:03,480 Speaker 2: six twenty twenty In twenty twenty four, when Donald Trump 533 00:32:03,520 --> 00:32:07,040 Speaker 2: was on the ballot all three times, the one that 534 00:32:07,080 --> 00:32:11,560 Speaker 2: you would star that stands out is what happened in 535 00:32:11,640 --> 00:32:15,959 Speaker 2: twenty twenty. And when they try to restrict what you 536 00:32:16,120 --> 00:32:20,760 Speaker 2: can talk about, Oh, we got to censor this, that's 537 00:32:20,800 --> 00:32:25,560 Speaker 2: election denihilism. Oh if you're asking about police violence, that's racism. 538 00:32:26,520 --> 00:32:29,520 Speaker 2: Why do they not want to have actual conversations about 539 00:32:29,560 --> 00:32:35,720 Speaker 2: actual numbers. Oh you can't, that's anti vaccine talk. When 540 00:32:35,720 --> 00:32:38,240 Speaker 2: it came to the COVID shot, Oh you can't be 541 00:32:38,400 --> 00:32:43,120 Speaker 2: anti masking, you're anti science. Notice what happens. They don't 542 00:32:43,120 --> 00:32:47,200 Speaker 2: actually engage in the debate. They just try to restrict 543 00:32:47,280 --> 00:32:51,360 Speaker 2: your ability to even engage in the debate by telling you, Oh, 544 00:32:51,400 --> 00:32:55,080 Speaker 2: that's misinformation, that's disinformation. Well, let's actually debate the issue 545 00:32:55,080 --> 00:32:59,520 Speaker 2: at hand. It's the entire purpose of the country's Bill 546 00:32:59,520 --> 00:33:02,160 Speaker 2: of rights. It's why the First Amendment is first. No, no, no, 547 00:33:01,960 --> 00:33:04,280 Speaker 2: you can't do that. We do it a lot here. 548 00:33:04,560 --> 00:33:07,200 Speaker 2: You might not always like what we say, but the 549 00:33:07,200 --> 00:33:10,760 Speaker 2: First Amendment is alive and well here thanks to Rush 550 00:33:10,800 --> 00:33:13,840 Speaker 2: and thanks to our three almost four years now talking 551 00:33:13,880 --> 00:33:15,840 Speaker 2: to you every day. How many other places can you 552 00:33:15,840 --> 00:33:16,640 Speaker 2: say that in media? 553 00:33:17,560 --> 00:33:18,720 Speaker 1: Not very many. Uh. 554 00:33:18,720 --> 00:33:20,400 Speaker 2: Look, there was a time when it was hard to 555 00:33:20,440 --> 00:33:24,160 Speaker 2: accumulate gold as man. 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I'm now drinking out of a 583 00:35:04,880 --> 00:35:11,040 Speaker 2: Tennessee National champions College Baseball amazing time in Omaha mug 584 00:35:11,120 --> 00:35:13,840 Speaker 2: here right now, and I want all of you to 585 00:35:13,880 --> 00:35:17,040 Speaker 2: go sign up at Crocketcoffee dot com twenty five percent 586 00:35:17,120 --> 00:35:20,680 Speaker 2: off this week as a Black Friday special, use code 587 00:35:20,760 --> 00:35:23,000 Speaker 2: book as well, and you get an autograph copy of 588 00:35:23,000 --> 00:35:25,880 Speaker 2: my book Best Sunday Ever. We're headed for the best 589 00:35:25,960 --> 00:35:29,760 Speaker 2: month ever buying ads everywhere. You guys are amazing. Larry 590 00:35:30,160 --> 00:35:32,440 Speaker 2: in o'calla, Florida. What you got for us, Larry. 591 00:35:34,160 --> 00:35:38,000 Speaker 4: Man, I hear everybody talk about You know that there 592 00:35:38,120 --> 00:35:42,719 Speaker 4: wasn't fraud in the twenty twenty election. However, if you 593 00:35:42,800 --> 00:35:45,799 Speaker 4: look back on it, that's what the mask were about, and. 594 00:35:45,800 --> 00:35:48,320 Speaker 5: You take it today. There's just as much COVID today 595 00:35:48,320 --> 00:35:51,799 Speaker 5: as there was, which is called the flute. But back then, 596 00:35:51,920 --> 00:35:55,480 Speaker 5: with that mask on, there was a visual representation that 597 00:35:55,560 --> 00:35:57,800 Speaker 5: there was something to be scared of, that you couldn't 598 00:35:57,840 --> 00:36:00,240 Speaker 5: go vote. That you need a mail in your ballot, 599 00:36:00,280 --> 00:36:04,279 Speaker 5: and mailian bounding was how they committed the frog. But 600 00:36:04,360 --> 00:36:05,560 Speaker 5: if you take it a little bit. 601 00:36:05,440 --> 00:36:08,600 Speaker 6: Further and go back to the twenty sixteen election, I 602 00:36:08,719 --> 00:36:10,960 Speaker 6: believe that's why there was so much shop from Hillary 603 00:36:10,960 --> 00:36:13,520 Speaker 6: Clinton and the other ones when they realized that they 604 00:36:13,600 --> 00:36:16,920 Speaker 6: lost because they cheated, but they didn't realize how many 605 00:36:16,960 --> 00:36:19,000 Speaker 6: people were going to show up to not only vote 606 00:36:19,000 --> 00:36:21,560 Speaker 6: against the Democrats, but to stick the finger in the 607 00:36:21,560 --> 00:36:24,160 Speaker 6: eye of the Republicans are like, hey, listen, we're tired 608 00:36:24,200 --> 00:36:27,280 Speaker 6: of you establishment guys. We're voting for Donald Trump. 609 00:36:27,840 --> 00:36:28,759 Speaker 1: I appreciate the call. 610 00:36:29,200 --> 00:36:31,279 Speaker 2: What I would just say is, if you look at 611 00:36:31,320 --> 00:36:35,440 Speaker 2: twenty eight, twenty twelve, twenty sixteen, all of those votes 612 00:36:35,480 --> 00:36:40,560 Speaker 2: are within a few millions, same thing basically of Republicans 613 00:36:40,600 --> 00:36:44,440 Speaker 2: as well. And then suddenly in twenty twenty, Joe Biden 614 00:36:44,520 --> 00:36:47,200 Speaker 2: gets sixteen million more votes than Hillary. 615 00:36:47,560 --> 00:36:49,000 Speaker 1: The math ain't mathoing for me.