1 00:00:03,920 --> 00:00:06,000 Speaker 1: It's that time, time, time. 2 00:00:05,960 --> 00:00:09,399 Speaker 2: Time, luck and load. 3 00:00:11,280 --> 00:00:13,880 Speaker 1: The Michael Day Show is on the air. 4 00:00:20,520 --> 00:00:28,640 Speaker 3: Good morning, Captain, good morning, kaptain, good morning, Captain, Good morning, Captain, 5 00:00:29,560 --> 00:00:35,280 Speaker 3: good morning, good morning. And Captain, let's come on out 6 00:00:35,360 --> 00:00:37,240 Speaker 3: and say wake. 7 00:00:37,080 --> 00:00:38,919 Speaker 4: Up the sunshine and. 8 00:00:38,880 --> 00:00:43,400 Speaker 2: Share this rate good You lost an intertain. 9 00:00:42,840 --> 00:00:46,720 Speaker 3: In It's mornings Home we see because we're Harry See 10 00:00:47,440 --> 00:00:48,920 Speaker 3: and you're going Downtown's free. 11 00:00:49,120 --> 00:00:55,840 Speaker 2: Everybody's say good morning, good morning. 12 00:01:17,560 --> 00:01:20,600 Speaker 1: Lest we forget, we will be through the course of 13 00:01:20,720 --> 00:01:26,760 Speaker 1: the program remembering this day September eleventh, two thousand and one, 14 00:01:27,840 --> 00:01:34,040 Speaker 1: when nineteen terrorists hijacked four commercial planes. The first two 15 00:01:34,200 --> 00:01:39,759 Speaker 1: struck the Oral Trade Center twin towers. The third plane 16 00:01:39,880 --> 00:01:44,880 Speaker 1: struck the Pentagon. The fourth plane crashed in rural Pennsylvania 17 00:01:45,040 --> 00:01:50,320 Speaker 1: after the passengers revolted. Let's roll. Two thousand, nine hundred 18 00:01:50,320 --> 00:01:56,760 Speaker 1: and seventy seven people almost three thousand in total, were murdered. 19 00:01:57,600 --> 00:02:02,680 Speaker 1: A number more would die, quite a few more inexact 20 00:02:03,080 --> 00:02:09,800 Speaker 1: how many from the injuries suffered as the towers were collapsing, 21 00:02:09,880 --> 00:02:14,120 Speaker 1: and sadly, many of those were the first responders who 22 00:02:14,280 --> 00:02:18,519 Speaker 1: were saving lives and did save many lives. It was 23 00:02:18,639 --> 00:02:23,480 Speaker 1: also eleven years later on the exact same date for 24 00:02:23,639 --> 00:02:31,200 Speaker 1: a reason that in Benghazi, Libya, our station was attacked there, 25 00:02:33,080 --> 00:02:38,320 Speaker 1: and in both cases it was Muslims attacking Americans. In 26 00:02:38,440 --> 00:02:43,160 Speaker 1: both cases it was Americans being attacked because we are Americans, 27 00:02:43,160 --> 00:02:47,560 Speaker 1: and in both cases it was people whose ideology still 28 00:02:47,600 --> 00:02:51,799 Speaker 1: exists to this day who wished to destroy us. Well, 29 00:02:51,840 --> 00:02:54,359 Speaker 1: of course, we're going to talk about the debate last night, 30 00:02:55,720 --> 00:02:59,919 Speaker 1: and take a deep breath. We're going to take some calls. 31 00:03:01,160 --> 00:03:04,359 Speaker 1: Before you call, I would ask you to think about 32 00:03:04,520 --> 00:03:07,160 Speaker 1: exactly what you're going to stay in a manner in 33 00:03:07,240 --> 00:03:11,800 Speaker 1: which you can structure it so that it's not a rambling, 34 00:03:12,520 --> 00:03:20,720 Speaker 1: angry outburst, but rather a simple, straightforward statement. I'm sure 35 00:03:20,919 --> 00:03:24,840 Speaker 1: you've heard of all of the theories, whether it's Kamala 36 00:03:24,960 --> 00:03:29,720 Speaker 1: Harris wearing an earring that is Actually the answer is, 37 00:03:29,840 --> 00:03:33,880 Speaker 1: I don't know. It is credible to believe that these 38 00:03:33,960 --> 00:03:36,960 Speaker 1: people would cheat. We're not going to catch them one 39 00:03:37,000 --> 00:03:40,440 Speaker 1: hundred percent of the time, nor are one hundred percent 40 00:03:40,560 --> 00:03:43,880 Speaker 1: of the allegation's false. You do without what you want, 41 00:03:44,800 --> 00:03:49,720 Speaker 1: but I can't confirm or deny any conspiracy or allegation 42 00:03:50,280 --> 00:03:53,200 Speaker 1: or article that you received or thing that you heard 43 00:03:53,560 --> 00:03:57,720 Speaker 1: You'll just have to decide that for yourself. We will, however, 44 00:03:58,000 --> 00:04:03,640 Speaker 1: accept answers as in thoughts as to the debate last night. 45 00:04:04,720 --> 00:04:08,800 Speaker 1: But how is one to process what happened? How is 46 00:04:08,920 --> 00:04:14,320 Speaker 1: one to assess in a meaningful way what happened? Well, 47 00:04:14,400 --> 00:04:18,839 Speaker 1: let's start with this. Remember that your vote is already cast, 48 00:04:21,240 --> 00:04:26,880 Speaker 1: so that debate probably didn't affect your vote. The only 49 00:04:27,080 --> 00:04:33,400 Speaker 1: thing about that debate that matters is did anyone who 50 00:04:33,560 --> 00:04:36,880 Speaker 1: was already voting for one or the other candidate change 51 00:04:36,960 --> 00:04:40,400 Speaker 1: their vote? That is a person who's an actual voter. Remember, 52 00:04:40,920 --> 00:04:43,760 Speaker 1: many people don't vote. They have opinions, but they don't vote, 53 00:04:44,240 --> 00:04:51,080 Speaker 1: so their opinion doesn't matter because the only opinion counter 54 00:04:51,720 --> 00:04:58,839 Speaker 1: that matters is the voting system. Secondly, did it cause 55 00:04:59,480 --> 00:05:04,880 Speaker 1: undecided voters to cast a vote? Did it bring them 56 00:05:05,160 --> 00:05:09,320 Speaker 1: to a conclusion as to how they will vote? Well, 57 00:05:09,360 --> 00:05:11,160 Speaker 1: you have to start with the fact that anyone who 58 00:05:11,240 --> 00:05:16,640 Speaker 1: is still undecided at this point is undecided because they 59 00:05:16,640 --> 00:05:21,880 Speaker 1: are probably dispassionate about the affairs of this country, and 60 00:05:22,000 --> 00:05:29,280 Speaker 1: the likelihood that they're watching is very, very low. The 61 00:05:29,400 --> 00:05:33,200 Speaker 1: type of person who is undecided is not a person 62 00:05:33,240 --> 00:05:36,560 Speaker 1: who's highly engaged as you are with what's going on. 63 00:05:37,960 --> 00:05:41,520 Speaker 1: It's also the person who's much easier to doupe with 64 00:05:41,640 --> 00:05:44,600 Speaker 1: an effort like Kamala Harris pulled off last night. In fact, 65 00:05:44,680 --> 00:05:49,280 Speaker 1: that is by design. But what we don't know yet 66 00:05:49,920 --> 00:05:53,520 Speaker 1: is how this will affect those people whose votes were 67 00:05:54,200 --> 00:06:02,120 Speaker 1: already determined. CNN held a poll last night, and interestingly, 68 00:06:03,520 --> 00:06:09,000 Speaker 1: the biggest issue on voters' minds is the economy. Every 69 00:06:09,080 --> 00:06:15,000 Speaker 1: poll consistently has shown that on that issue, Trump improved 70 00:06:15,080 --> 00:06:19,040 Speaker 1: his standing in the CNN poll. His lead on the 71 00:06:19,240 --> 00:06:24,920 Speaker 1: economy improved from fifty three to thirty seven, which is 72 00:06:25,000 --> 00:06:29,400 Speaker 1: a sixty which is a sixteen percentage point lead, to 73 00:06:29,640 --> 00:06:33,800 Speaker 1: fifty five thirty five. She went down from thirty seven 74 00:06:33,880 --> 00:06:36,320 Speaker 1: to thirty five. He went up from fifty three to 75 00:06:36,440 --> 00:06:42,760 Speaker 1: fifty five. She needed to reduce that gap from the 76 00:06:42,880 --> 00:06:47,480 Speaker 1: sixteen that he enjoyed. Instead, he increased it to twenty. 77 00:06:48,760 --> 00:06:52,800 Speaker 1: That's important. Mark that down as in the middle of 78 00:06:52,920 --> 00:07:01,200 Speaker 1: all the noise, that is important. What happened last night. 79 00:07:01,800 --> 00:07:07,880 Speaker 1: You may be saying June twenty seventh, Trump destroyed Biden, 80 00:07:09,320 --> 00:07:12,200 Speaker 1: and nobody would say he destroyed her. Last night, you 81 00:07:12,280 --> 00:07:15,840 Speaker 1: could say he won. You can criticize the moderators There 82 00:07:15,840 --> 00:07:21,440 Speaker 1: are a lot of natural and accurate reactions to last night, 83 00:07:21,520 --> 00:07:25,160 Speaker 1: but nobody's going to say he destroyed her. What happened? 84 00:07:25,200 --> 00:07:33,440 Speaker 1: What was different? Very simply. On June twenty seventh, CNN 85 00:07:33,560 --> 00:07:37,120 Speaker 1: went in with a clear goal and it became obvious 86 00:07:37,160 --> 00:07:42,960 Speaker 1: pretty fast. Pushed Joe Biden out of the race when 87 00:07:43,040 --> 00:07:45,920 Speaker 1: he was given a minute forty five or two minutes 88 00:07:46,320 --> 00:07:50,400 Speaker 1: for an answer, I don't remember the length. And after 89 00:07:50,480 --> 00:07:54,440 Speaker 1: about fifteen seconds have through cobbling together a few words 90 00:07:54,480 --> 00:08:00,320 Speaker 1: and he paused rather than moved on. They said, mister resident, 91 00:08:00,440 --> 00:08:06,320 Speaker 1: you still have a minute forty five. They pushed the 92 00:08:06,440 --> 00:08:10,920 Speaker 1: old man out into the oncoming traffic. They wanted him 93 00:08:11,800 --> 00:08:17,800 Speaker 1: to be exposed as stumbling and bumbling, and that's why 94 00:08:17,880 --> 00:08:23,800 Speaker 1: they did that. They immediately after the debate, they're panelists 95 00:08:24,280 --> 00:08:28,240 Speaker 1: started saying, this was a horrible effort by Biden, and 96 00:08:28,360 --> 00:08:30,840 Speaker 1: our folks didn't know any better. Oh even yeah, they're 97 00:08:30,880 --> 00:08:34,800 Speaker 1: tell us we won, we won. That whole thing was 98 00:08:34,920 --> 00:08:39,120 Speaker 1: rehearsed and scripted. Once you understand every bit of this 99 00:08:39,280 --> 00:08:41,719 Speaker 1: is kabuki theater, it all starts to make a lot 100 00:08:41,800 --> 00:08:46,880 Speaker 1: more sense. Last night, their goal was not to push 101 00:08:47,160 --> 00:08:50,440 Speaker 1: Kamala out of the race, but to promote her. Remember 102 00:08:50,600 --> 00:08:55,120 Speaker 1: she met her husband through the director of ABC Network. 103 00:08:55,920 --> 00:08:58,240 Speaker 1: They did what they were supposed to do last night, 104 00:08:58,280 --> 00:09:00,560 Speaker 1: All right, your calls coming up seven, one, three, nine, nine, one, 105 00:09:00,600 --> 00:09:03,679 Speaker 1: thoughts just gets Honkey riders, Hoosker dues, Whosker. 106 00:09:03,400 --> 00:09:06,959 Speaker 5: Don'ts nips and dazers, whether without the scooter stick or 107 00:09:07,040 --> 00:09:08,800 Speaker 5: one single whistling Kiddy Jason. 108 00:09:13,840 --> 00:09:17,360 Speaker 1: Rather than our usual course of me presenting what I 109 00:09:17,520 --> 00:09:19,960 Speaker 1: saw last night and my thoughts, I thought it might 110 00:09:21,920 --> 00:09:26,680 Speaker 1: be more interesting today to weave your thoughts through calls 111 00:09:27,040 --> 00:09:30,880 Speaker 1: into the show, and then I would respond as my 112 00:09:31,080 --> 00:09:36,559 Speaker 1: list of items are hit. Whether I agree or disagree 113 00:09:36,600 --> 00:09:39,719 Speaker 1: with you, it's not a contentious process. There will be 114 00:09:39,960 --> 00:09:43,959 Speaker 1: areas where I disagree with a takeaway, but there's no 115 00:09:44,120 --> 00:09:47,480 Speaker 1: right or wrong. Who won the debate is a question 116 00:09:47,720 --> 00:09:50,280 Speaker 1: people like to ask because if it's a sporting event, 117 00:09:50,440 --> 00:09:56,199 Speaker 1: because sporting events are how we measure competition, and for 118 00:09:56,400 --> 00:09:59,920 Speaker 1: many people that is the best and perhaps only way 119 00:10:00,920 --> 00:10:04,280 Speaker 1: to understand did our guy chalk up a win or 120 00:10:04,320 --> 00:10:07,400 Speaker 1: a loss last night? But you have to ask yourself 121 00:10:07,520 --> 00:10:11,280 Speaker 1: what a win is? What is a win? Before you 122 00:10:11,400 --> 00:10:14,800 Speaker 1: can determine who one, you have to ask what does 123 00:10:14,880 --> 00:10:18,920 Speaker 1: it mean to win? And that's not some deeply existential question. 124 00:10:19,440 --> 00:10:24,440 Speaker 1: It's very simple. Both sides go in with the intention 125 00:10:24,720 --> 00:10:29,520 Speaker 1: of scoring a win. A win is that you walk 126 00:10:29,600 --> 00:10:33,560 Speaker 1: away with more votes than you walked in with. It's 127 00:10:33,880 --> 00:10:38,120 Speaker 1: just that simple. But there are minor wins within the 128 00:10:38,200 --> 00:10:45,520 Speaker 1: bigger win. There is motivating your base, there is motivating 129 00:10:45,559 --> 00:10:53,800 Speaker 1: your donors, there is motivating your activists. There is demotivating 130 00:10:54,000 --> 00:11:01,840 Speaker 1: the other side, adding an element of question, confused, usion, disorientation, 131 00:11:02,440 --> 00:11:07,839 Speaker 1: uncertainty to the other side. All of those sorts of 132 00:11:07,960 --> 00:11:13,000 Speaker 1: things comprise the overall bigger question of a win. You 133 00:11:13,160 --> 00:11:17,640 Speaker 1: also have to remember that we all watch the debate 134 00:11:18,600 --> 00:11:23,319 Speaker 1: through the prism of our own biases. So the Kamala 135 00:11:23,400 --> 00:11:26,440 Speaker 1: people think she won and the Trump people think he won. 136 00:11:27,679 --> 00:11:30,839 Speaker 1: The bigger question is going to be what do other 137 00:11:31,040 --> 00:11:34,679 Speaker 1: people think? Other people who don't see the world you do, 138 00:11:35,480 --> 00:11:39,280 Speaker 1: other people who don't, who are not as cynical, perhaps 139 00:11:39,679 --> 00:11:44,240 Speaker 1: as to the lies that are being told. Let's start 140 00:11:44,280 --> 00:11:53,439 Speaker 1: with one premise. Kamala Harris is a performative artist, and 141 00:11:53,760 --> 00:12:00,839 Speaker 1: in that arena she is very good, particularly when she 142 00:12:01,120 --> 00:12:06,240 Speaker 1: is focused. You've seen her stumble and bumble. You've seen 143 00:12:06,320 --> 00:12:10,640 Speaker 1: the cackling, you've seen, the silly answers, you've seen the 144 00:12:10,720 --> 00:12:14,920 Speaker 1: word salads. There's a reason for that. She's very lazy. 145 00:12:15,520 --> 00:12:19,719 Speaker 1: She cuts corners. She does not appear day in and 146 00:12:19,840 --> 00:12:23,240 Speaker 1: day out in the busy schedule of being a vice 147 00:12:23,320 --> 00:12:29,720 Speaker 1: president and social engagements and media engagements. She does not prepare. 148 00:12:30,679 --> 00:12:33,280 Speaker 1: That's why she has throw down lines that she uses. 149 00:12:34,720 --> 00:12:37,640 Speaker 1: That's why she starts answering a question the same way 150 00:12:37,720 --> 00:12:41,320 Speaker 1: you did back in school when you had not read 151 00:12:41,360 --> 00:12:43,800 Speaker 1: the book and you were asked to give a report 152 00:12:43,880 --> 00:12:49,199 Speaker 1: on it, ramon, what is Sounder about? Tell me about Sounder? 153 00:12:49,320 --> 00:12:52,760 Speaker 1: And you'd seen the front of the book. Sounder is 154 00:12:52,840 --> 00:12:57,320 Speaker 1: a book about a dog. Okay, all right, I've stated 155 00:12:57,360 --> 00:13:03,880 Speaker 1: a fact that is uh named Sounder, and whether that 156 00:13:04,200 --> 00:13:09,199 Speaker 1: dog whose name is Sounder, it's about some things that 157 00:13:09,360 --> 00:13:13,000 Speaker 1: happened to that dog named Sounder. And you start to realize, oh, 158 00:13:14,160 --> 00:13:18,400 Speaker 1: that's what she's doing. She's trying to string together a 159 00:13:18,480 --> 00:13:21,640 Speaker 1: couple of facts. Like when you first learn a foreign language, 160 00:13:22,080 --> 00:13:24,600 Speaker 1: you may have a couple of nouns, but you can't 161 00:13:24,679 --> 00:13:27,400 Speaker 1: conjugate any verbs, so you just speak in nouns and 162 00:13:27,440 --> 00:13:31,240 Speaker 1: then do it louder. That's what she does last night. 163 00:13:31,280 --> 00:13:33,599 Speaker 1: You didn't see that, Kamala Harris, and I warned this. 164 00:13:33,720 --> 00:13:36,200 Speaker 1: I went on Clay and Buck last week and they 165 00:13:36,280 --> 00:13:38,280 Speaker 1: both told me afterwards they were surprised by my answer. 166 00:13:38,360 --> 00:13:40,480 Speaker 1: What did I think of the debate? I said, the 167 00:13:40,600 --> 00:13:45,360 Speaker 1: expectations for Trump are too high, the expectations for Kamala 168 00:13:45,480 --> 00:13:49,800 Speaker 1: are too low. And largely these things can become an 169 00:13:49,880 --> 00:13:54,000 Speaker 1: expectations game. Many people thought that they were going to 170 00:13:54,080 --> 00:13:56,760 Speaker 1: walk in there and she was going to wilt or 171 00:13:56,840 --> 00:14:02,880 Speaker 1: stand up there in cackle. She didn't. One thing about 172 00:14:03,080 --> 00:14:10,640 Speaker 1: Kamala Harris is she is a person who knows her 173 00:14:10,800 --> 00:14:16,480 Speaker 1: own limitations and is quite happy being controlled. That's what 174 00:14:16,720 --> 00:14:21,360 Speaker 1: makes her so dangerous as a president. She was rehearsed 175 00:14:22,400 --> 00:14:25,880 Speaker 1: and coached, and damn it, you can say whatever you want. 176 00:14:27,240 --> 00:14:32,560 Speaker 1: She memorized her lines and she delivered them. Now that's 177 00:14:32,680 --> 00:14:36,640 Speaker 1: all she had. She didn't understand the context behind any 178 00:14:36,680 --> 00:14:39,240 Speaker 1: of them. She could not have delivered them on her own. 179 00:14:40,760 --> 00:14:43,400 Speaker 1: But she memorized her lines and she delivered them. Did 180 00:14:43,480 --> 00:14:47,800 Speaker 1: she have help in her ear? Maybe it doesn't matter, 181 00:14:48,880 --> 00:14:52,520 Speaker 1: because the audience at home saw her deliver lines and 182 00:14:52,720 --> 00:14:56,680 Speaker 1: just the way Brian Williams used to lie very confidently, 183 00:14:57,800 --> 00:15:00,840 Speaker 1: seemingly with facts and quotes and things to support it. 184 00:15:01,000 --> 00:15:04,720 Speaker 1: It adds to its icing on the cake. She was 185 00:15:04,840 --> 00:15:09,000 Speaker 1: extraordinarily well rehearsed. There is no doubt about that. You 186 00:15:09,120 --> 00:15:13,560 Speaker 1: can give your enemy some credit. She was extraordinarily well rehearsed. 187 00:15:14,040 --> 00:15:20,200 Speaker 1: She didn't stumble, forget none of it. Especially after Biden. 188 00:15:21,280 --> 00:15:25,600 Speaker 1: She looked downright in command. It was rehearsed. She didn't 189 00:15:25,600 --> 00:15:28,040 Speaker 1: write it. It wasn't off the top, off the cuff. 190 00:15:28,880 --> 00:15:34,120 Speaker 1: Trump doesn't rehearse. You can say Trump's god that Michael, 191 00:15:34,160 --> 00:15:40,320 Speaker 1: don't criticize him, Okay, whatever you want. I wish he 192 00:15:40,560 --> 00:15:46,400 Speaker 1: had been more prepared for the debate format and what 193 00:15:46,600 --> 00:15:49,320 Speaker 1: he was going to be up against, because I felt 194 00:15:49,520 --> 00:15:52,760 Speaker 1: he wasn't. And if you want to see the difference, 195 00:15:53,680 --> 00:15:57,960 Speaker 1: his closing statement was rehearsed, and you noticed it was 196 00:15:58,200 --> 00:16:04,960 Speaker 1: considerably strung. If people hung around till the end, and 197 00:16:05,040 --> 00:16:08,040 Speaker 1: there will always be erosion in your audience through an 198 00:16:08,040 --> 00:16:13,760 Speaker 1: event like this. He closed extraordinarily strong, and he had 199 00:16:13,840 --> 00:16:17,600 Speaker 1: some moments throughout, but I don't think he had thought 200 00:16:17,680 --> 00:16:20,680 Speaker 1: through those moments and how to deliver his best lines. 201 00:16:21,040 --> 00:16:25,280 Speaker 1: It's not who he is he considers it beneath him. Unfortunately, 202 00:16:25,440 --> 00:16:30,760 Speaker 1: I wish he had. She was also extraordinarily non responsive. 203 00:16:32,080 --> 00:16:36,160 Speaker 1: They asked her, so are Americans better off today than 204 00:16:36,200 --> 00:16:39,640 Speaker 1: they were four years ago? She went into an answer, 205 00:16:39,840 --> 00:16:43,160 Speaker 1: which again was rehearsed, about growing up in a middle 206 00:16:43,200 --> 00:16:48,440 Speaker 1: class home with parents who struggled. She never answered. Now, 207 00:16:49,240 --> 00:16:51,960 Speaker 1: they didn't come back and pin her down the way 208 00:16:52,040 --> 00:16:55,200 Speaker 1: they would of Trump, because they were trying to help her. 209 00:16:56,280 --> 00:16:56,840 Speaker 6: As you know. 210 00:16:57,840 --> 00:17:02,280 Speaker 1: That's because the head of AB's is the very person 211 00:17:02,400 --> 00:17:07,359 Speaker 1: Dana Walden who introduced Kamala Harris to her beard her husband, 212 00:17:07,840 --> 00:17:13,520 Speaker 1: Doug m. Hoff, And so that was that's a thirty 213 00:17:13,600 --> 00:17:16,920 Speaker 1: year friendship. As Kamala has gushed on and on over 214 00:17:16,960 --> 00:17:19,359 Speaker 1: the years, the husbands are best friends, the wives are 215 00:17:19,400 --> 00:17:23,440 Speaker 1: best friends. So why did Trump would agree to the debate? 216 00:17:24,160 --> 00:17:27,800 Speaker 1: My concern when people say, well, you do realize, Michael, 217 00:17:28,119 --> 00:17:32,560 Speaker 1: that ABC was behind Kamala. They're running her campaign. Dana 218 00:17:32,640 --> 00:17:36,320 Speaker 1: Walden is her best friend. Yeah, I realized that before 219 00:17:36,400 --> 00:17:39,600 Speaker 1: the debate. So why do you sit for a debate 220 00:17:39,800 --> 00:17:42,520 Speaker 1: when you know that to be the case. She refused 221 00:17:42,560 --> 00:17:45,480 Speaker 1: to do the Fox debate last night last week, and 222 00:17:45,560 --> 00:17:50,879 Speaker 1: Trump did a town hall. Maybe, just maybe it's a 223 00:17:51,000 --> 00:17:54,520 Speaker 1: weakness to walk into a dent of vipers that you 224 00:17:54,840 --> 00:17:57,960 Speaker 1: know is a dent of vipers, but don't come running 225 00:17:58,000 --> 00:17:59,840 Speaker 1: out and tell me it's a dent of vipers. We 226 00:18:00,119 --> 00:18:03,480 Speaker 1: knew that before. There was nothing about what they did, 227 00:18:03,680 --> 00:18:06,600 Speaker 1: and now we've got every other media personality saying ABC 228 00:18:06,840 --> 00:18:10,520 Speaker 1: is a loser. What ABC did is horrible. What ABC 229 00:18:10,760 --> 00:18:13,639 Speaker 1: did helped Kamala Harris. Will it swing the election? Absolutely not. 230 00:18:13,840 --> 00:18:16,639 Speaker 1: Did it help Kamala Harris? Yes, By the way, it 231 00:18:16,760 --> 00:18:21,480 Speaker 1: was Obama's team that was that was training her. You 232 00:18:21,640 --> 00:18:24,840 Speaker 1: could see shades of Obama and what she did last week. 233 00:18:26,560 --> 00:18:29,440 Speaker 5: But you could see it all right, your calls coming up, Grant, 234 00:18:29,480 --> 00:18:30,600 Speaker 5: you're only Michael Berry Show. 235 00:18:30,640 --> 00:18:32,040 Speaker 1: What did you see last night? 236 00:18:35,000 --> 00:18:35,119 Speaker 6: Hi? 237 00:18:35,240 --> 00:18:35,600 Speaker 5: Michael? 238 00:18:35,840 --> 00:18:36,320 Speaker 4: Last night. 239 00:18:36,400 --> 00:18:39,639 Speaker 7: I was a little bit taken aback by David Muir's 240 00:18:39,680 --> 00:18:44,680 Speaker 7: ability to present as fact a single interview with a 241 00:18:44,840 --> 00:18:50,560 Speaker 7: city manager when refuting Trump discussing the I guess that it. 242 00:18:50,920 --> 00:18:54,359 Speaker 6: Well, let's go to your call. 243 00:18:54,440 --> 00:18:59,200 Speaker 1: Seven one three, nine, nine, one thousand. My friend Matt Brice, 244 00:18:59,240 --> 00:19:03,479 Speaker 1: who owns Federal American Grill, and I were texting as 245 00:19:03,560 --> 00:19:05,760 Speaker 1: we always do, on nine to eleven. He lived in 246 00:19:05,880 --> 00:19:08,600 Speaker 1: New York for a number of years working at one 247 00:19:08,640 --> 00:19:12,359 Speaker 1: of the top steakhouses there. He grew up in Massachusetts. 248 00:19:12,400 --> 00:19:14,439 Speaker 1: You wouldn't know it. You think he's a Texans Texan, 249 00:19:15,840 --> 00:19:20,399 Speaker 1: But nine to twelve September twelfth is his birthday. So 250 00:19:20,480 --> 00:19:23,399 Speaker 1: it was the day before his birthday and he was 251 00:19:23,440 --> 00:19:26,920 Speaker 1: in New Hampshire, moving from Boston to New York to 252 00:19:27,000 --> 00:19:31,760 Speaker 1: go to work, and he said, I woke up nine 253 00:19:31,760 --> 00:19:35,399 Speaker 1: to eleven. I said, I woke up sorry this morning today, 254 00:19:36,520 --> 00:19:38,800 Speaker 1: more grateful than I ever have in my life, watching 255 00:19:38,880 --> 00:19:41,640 Speaker 1: the disaster of nine to eleven two thousand and one, 256 00:19:41,680 --> 00:19:44,600 Speaker 1: and getting the chills of watching our first responders running 257 00:19:44,680 --> 00:19:49,119 Speaker 1: up the stairs into burning buildings to save lives and 258 00:19:49,200 --> 00:19:52,159 Speaker 1: put theirs on the line. There's nothing any one of 259 00:19:52,280 --> 00:19:56,320 Speaker 1: us can ever do to show our gratitude enough, but 260 00:19:56,480 --> 00:19:59,359 Speaker 1: I want to do what I can today. It hit 261 00:19:59,480 --> 00:20:02,480 Speaker 1: me this morning that I should do this. Any first 262 00:20:02,520 --> 00:20:05,840 Speaker 1: responder who comes into any federal American grill location, no 263 00:20:06,000 --> 00:20:10,000 Speaker 1: matter what they eat, is free on us. That's a fireman, 264 00:20:10,880 --> 00:20:19,359 Speaker 1: a police officer, are an EMT lunch or dinner. I'd 265 00:20:19,440 --> 00:20:22,240 Speaker 1: be grateful if you would spread the word. So bring 266 00:20:22,320 --> 00:20:26,400 Speaker 1: your badge, wear your uniform, show up at Federal American Grill. 267 00:20:26,640 --> 00:20:33,639 Speaker 1: That's Shepherd Washington, Ien and Campbell Katie the Woodlands and 268 00:20:34,040 --> 00:20:38,800 Speaker 1: downtown just a couple of blocks away from where the 269 00:20:38,880 --> 00:20:43,080 Speaker 1: Astros play at Minute Made. And just to let you know, 270 00:20:43,920 --> 00:20:46,480 Speaker 1: we are feeding about eighty veterans at Camp Hope for 271 00:20:47,440 --> 00:20:50,280 Speaker 1: dinner tonight. I'm going to be there personally from four 272 00:20:50,440 --> 00:20:53,000 Speaker 1: thirty to five thirty. Then you may be thinking that's 273 00:20:53,040 --> 00:20:56,960 Speaker 1: early for dinner. They eat early at Camp Hope. It's 274 00:20:57,040 --> 00:21:00,159 Speaker 1: the thing they do. They also eat very fast. That 275 00:21:00,200 --> 00:21:05,639 Speaker 1: always staggers me. It's guys, he very fast. No, if 276 00:21:05,680 --> 00:21:07,879 Speaker 1: you're the first to respond to that offer, doesn't make 277 00:21:07,920 --> 00:21:09,160 Speaker 1: you a first responder. 278 00:21:09,600 --> 00:21:09,919 Speaker 6: Ramon. 279 00:21:10,560 --> 00:21:12,440 Speaker 1: Uh, Let's start with Caleb. Caleb, you're on the Michael 280 00:21:12,480 --> 00:21:14,959 Speaker 1: Berry Show. What are your thoughts on last night? 281 00:21:17,000 --> 00:21:21,600 Speaker 2: Oh boy? Too many to even try to say, but 282 00:21:23,400 --> 00:21:24,320 Speaker 2: create me if I'm wrong. 283 00:21:24,760 --> 00:21:28,280 Speaker 1: That's not a good start to the call. Let's try 284 00:21:28,320 --> 00:21:29,400 Speaker 1: to narrow it down to one. 285 00:21:33,080 --> 00:21:37,040 Speaker 2: Okay, Well, I create me if I'm wrong, mister Michael. 286 00:21:37,080 --> 00:21:39,200 Speaker 2: I'm not, like, you know, super educated and whatnot. I 287 00:21:39,280 --> 00:21:41,480 Speaker 2: try to understand some things that ask my dad questions. 288 00:21:41,560 --> 00:21:44,120 Speaker 2: But and I say again, create me if I'm wrong. 289 00:21:44,160 --> 00:21:46,399 Speaker 2: But I believe when one point that she made, she 290 00:21:46,480 --> 00:21:51,639 Speaker 2: said that that that mister Trump, my president, was fired 291 00:21:51,640 --> 00:21:56,120 Speaker 2: by eighty one million people. I guess I'm assuming that's 292 00:21:56,480 --> 00:21:59,000 Speaker 2: that was that means people that voted at the booth. 293 00:21:59,080 --> 00:22:01,280 Speaker 2: Well if that, if so, if that's what that means, 294 00:22:01,400 --> 00:22:03,680 Speaker 2: I'm definitely not one of those people to fire him. 295 00:22:03,760 --> 00:22:08,040 Speaker 2: He's my president this forty seven God God will and hopefully. 296 00:22:08,640 --> 00:22:10,600 Speaker 2: But the other thing about it is too sir. This 297 00:22:10,800 --> 00:22:14,480 Speaker 2: thing really really gets to me and and it disturbs me, 298 00:22:14,480 --> 00:22:20,200 Speaker 2: and it bothers me. Okay, my my parents decided to 299 00:22:20,240 --> 00:22:21,040 Speaker 2: have me at birth. 300 00:22:23,160 --> 00:22:23,359 Speaker 3: I have. 301 00:22:23,560 --> 00:22:25,960 Speaker 2: I have a bit of a well I think a 302 00:22:26,040 --> 00:22:31,200 Speaker 2: lot of heavy learning disability. I have. I don't have 303 00:22:31,280 --> 00:22:33,920 Speaker 2: a physical disability, but I've learned disability. But my parents 304 00:22:34,400 --> 00:22:40,560 Speaker 2: and my mother wasn't abused in a sexual way that 305 00:22:40,720 --> 00:22:43,800 Speaker 2: would have could have caused her thought her mind process 306 00:22:43,960 --> 00:22:47,280 Speaker 2: to abort me, but she didn't. I'm just giving the 307 00:22:47,359 --> 00:22:50,720 Speaker 2: right to life. My opinion on it, this is it 308 00:22:50,880 --> 00:22:54,000 Speaker 2: doesn't matter. Even this is dark. I know this is dark, 309 00:22:54,080 --> 00:22:55,879 Speaker 2: and you probably can edit it out. I understand. I 310 00:22:56,000 --> 00:22:58,840 Speaker 2: just wanted to tell you this, But I believe even 311 00:22:58,920 --> 00:23:04,880 Speaker 2: if a male and a family was to abuse one 312 00:23:04,920 --> 00:23:06,520 Speaker 2: won't say our word, I think you know what I mean, 313 00:23:06,600 --> 00:23:12,200 Speaker 2: but to abuse a female and his family. I still believe, 314 00:23:12,359 --> 00:23:17,600 Speaker 2: no matter what, every child, every baby, has the right 315 00:23:17,720 --> 00:23:22,440 Speaker 2: to life. Abortion should be against the law. They should 316 00:23:22,440 --> 00:23:26,760 Speaker 2: be banned no matter what the situation is. God has 317 00:23:26,920 --> 00:23:30,920 Speaker 2: given they have a God given right to life. Thank you, sir, God. 318 00:23:30,760 --> 00:23:33,440 Speaker 1: Bless thank you, keviy, thank you. 319 00:23:37,760 --> 00:23:41,040 Speaker 5: The choice of when those questions were asked last night 320 00:23:42,000 --> 00:23:45,480 Speaker 5: was very, very calculated. 321 00:23:46,280 --> 00:23:50,960 Speaker 1: The second question out of the gate was abortion. Not 322 00:23:51,160 --> 00:23:56,639 Speaker 1: only is abortion, is abortion a winner for Kamala in 323 00:23:56,760 --> 00:23:59,440 Speaker 1: the Swing states, not in the Southern States, but in 324 00:23:59,480 --> 00:24:01,719 Speaker 1: the swings. Not only is it a winner for her, 325 00:24:02,960 --> 00:24:05,520 Speaker 1: it is her best issue, It is the issue on 326 00:24:05,640 --> 00:24:10,280 Speaker 1: which she pulls the best. But it was also asked 327 00:24:10,440 --> 00:24:14,440 Speaker 1: in a manner and answered in a manner which was 328 00:24:14,560 --> 00:24:20,280 Speaker 1: clearly very coordinated. That was designed to do maximum advantage 329 00:24:20,560 --> 00:24:26,159 Speaker 1: to her and damage to Trump. And that was not 330 00:24:26,480 --> 00:24:32,360 Speaker 1: an accident. See, some people, a lot of people were 331 00:24:32,440 --> 00:24:35,760 Speaker 1: going to tune in, get a sense of who was winning, 332 00:24:36,680 --> 00:24:39,679 Speaker 1: and go to bed. They weren't going to wait around. 333 00:24:40,680 --> 00:24:44,720 Speaker 1: They weren't going to wait around to hear anything else. 334 00:24:45,600 --> 00:24:47,680 Speaker 1: And that's why it was so important that that question 335 00:24:47,920 --> 00:24:51,240 Speaker 1: was asked so early in the debate, and that is 336 00:24:51,359 --> 00:24:55,280 Speaker 1: not an accident, that was by very clear design. Let's 337 00:24:55,320 --> 00:24:57,880 Speaker 1: go to John. John, you're on the Michael Berry Show. 338 00:24:57,880 --> 00:25:01,600 Speaker 1: Go ahead, sir, Yes, sir, you know. 339 00:25:03,080 --> 00:25:10,080 Speaker 6: I wish the Republicans when speaking about abortion. I look 340 00:25:10,119 --> 00:25:16,920 Speaker 6: at it this way. It's common sense. You know, you 341 00:25:17,200 --> 00:25:26,040 Speaker 6: don't kill off future generations. You know, every profession that 342 00:25:26,280 --> 00:25:32,120 Speaker 6: you can name of, there's a shortage. There's a even 343 00:25:32,200 --> 00:25:36,359 Speaker 6: a shortage of the blood supply, which has always been 344 00:25:36,480 --> 00:25:41,320 Speaker 6: short to begin with, but it's doubly short now. I mean, 345 00:25:42,760 --> 00:25:45,639 Speaker 6: that's the way it should They should talk about it. 346 00:25:46,200 --> 00:25:52,760 Speaker 6: We don't kill off our future generations. You know, you 347 00:25:52,960 --> 00:25:56,600 Speaker 6: leave all the religion out of it, leave everything else 348 00:25:56,680 --> 00:26:04,520 Speaker 6: out of it. And I think that may be winnable. 349 00:26:07,240 --> 00:26:20,240 Speaker 5: Seven one thousand, your calls coming up, Michael Barry Show. 350 00:26:25,280 --> 00:26:29,560 Speaker 1: To the phone lines. We go, Carol, what are your thoughts, sweetheart? 351 00:26:31,960 --> 00:26:35,120 Speaker 6: I feel that as easily as she was led through 352 00:26:35,240 --> 00:26:39,000 Speaker 6: the debate is the same way that she'll be led 353 00:26:39,080 --> 00:26:40,080 Speaker 6: through the presidency. 354 00:26:40,280 --> 00:26:41,120 Speaker 1: You're exactly right. 355 00:26:43,280 --> 00:26:43,440 Speaker 2: Now. 356 00:26:44,400 --> 00:26:51,199 Speaker 1: The concern becomes, Carol, whether a voter who showed up 357 00:26:51,440 --> 00:26:55,080 Speaker 1: unsure how they were going to vote, would have the 358 00:26:55,240 --> 00:27:02,800 Speaker 1: discernment to see that, because what at first look very impressive, 359 00:27:04,200 --> 00:27:07,159 Speaker 1: her ability to spout off random quotes and facts that 360 00:27:07,280 --> 00:27:11,240 Speaker 1: have been handed to her and she's memorized. A true 361 00:27:11,359 --> 00:27:16,520 Speaker 1: leader would say that's not a leader. In fact, the 362 00:27:16,760 --> 00:27:20,639 Speaker 1: very things that turn people off to Trump are the 363 00:27:20,840 --> 00:27:26,359 Speaker 1: very signs of leadership. He is fiercely independent. He is 364 00:27:26,560 --> 00:27:30,280 Speaker 1: capable of making a decision without needing to be told 365 00:27:30,400 --> 00:27:35,480 Speaker 1: what to do, and he is confident in his decisions. 366 00:27:36,040 --> 00:27:40,439 Speaker 1: And these are skills that most people never learn. They 367 00:27:40,600 --> 00:27:44,600 Speaker 1: simply never learn. If you watch at a children's birthday party, 368 00:27:45,400 --> 00:27:48,400 Speaker 1: how often it is that a kid can't make a decision. 369 00:27:48,520 --> 00:27:51,840 Speaker 1: They can't pick, They can't you know, which of these 370 00:27:51,920 --> 00:27:54,960 Speaker 1: two do you want? Behind? Which door do you want 371 00:27:55,000 --> 00:27:59,680 Speaker 1: to They can't do that, but Trump can, and that 372 00:28:00,200 --> 00:28:02,560 Speaker 1: is a sign of leadership. If you want to criticize 373 00:28:03,400 --> 00:28:07,480 Speaker 1: the decision he makes, that's acceptable. Very very infrequently does 374 00:28:07,520 --> 00:28:10,639 Speaker 1: anyone do that. They criticize the fact that he has 375 00:28:10,800 --> 00:28:15,040 Speaker 1: confidence in his decision making ability. But you know, Carol, 376 00:28:16,440 --> 00:28:21,440 Speaker 1: if we're to be brutally honest, and this is impolite 377 00:28:21,920 --> 00:28:25,119 Speaker 1: and doesn't win elections to say but just us talking. 378 00:28:27,160 --> 00:28:32,880 Speaker 1: Most people couldn't coach an NFL team, but they'll sit 379 00:28:33,000 --> 00:28:35,840 Speaker 1: up in the stands and scream and hollerists to what 380 00:28:35,960 --> 00:28:39,440 Speaker 1: place should have been called. They couldn't draft the players, 381 00:28:39,680 --> 00:28:42,640 Speaker 1: but they'll scream in holoerists to who should have been drafted. 382 00:28:43,080 --> 00:28:47,840 Speaker 1: They don't understand what goes into being a great coach 383 00:28:48,280 --> 00:28:51,640 Speaker 1: or a great GM or a great owner and take 384 00:28:51,720 --> 00:28:56,120 Speaker 1: that to another level. Most people could not be the 385 00:28:56,200 --> 00:28:59,480 Speaker 1: president of the United States. It would take too much. 386 00:29:00,480 --> 00:29:04,480 Speaker 1: And yet they don't understand their own limitations based on 387 00:29:04,600 --> 00:29:08,520 Speaker 1: their experience and skill set, and they look for things 388 00:29:08,680 --> 00:29:11,400 Speaker 1: so that they can cast it. They want nobody wants 389 00:29:11,440 --> 00:29:16,840 Speaker 1: to feel like they cast a decision on shallow, vapid grounds. 390 00:29:17,040 --> 00:29:20,680 Speaker 1: They want to feel that they I'll decide who the 391 00:29:20,800 --> 00:29:23,960 Speaker 1: president is, and what I'll decide on is I'll watch 392 00:29:24,040 --> 00:29:26,840 Speaker 1: the debate. And they watch the debate and they say, 393 00:29:28,200 --> 00:29:32,080 Speaker 1: Kamalo looks, she looks sharp, looks smart. She's given me 394 00:29:32,200 --> 00:29:37,320 Speaker 1: the right verbal cues, facial cues. I like her body language. 395 00:29:38,120 --> 00:29:43,720 Speaker 1: I like the words she strings together. Many people, sadly, 396 00:29:44,920 --> 00:29:49,120 Speaker 1: are at the level that that will be how they 397 00:29:49,240 --> 00:29:51,960 Speaker 1: will cast a vote. I don't think Trump lost the 398 00:29:52,000 --> 00:29:55,680 Speaker 1: election yesterday. I don't, but I do think that very 399 00:29:55,760 --> 00:29:59,480 Speaker 1: smart people that are in the business of dolling up 400 00:29:59,560 --> 00:30:02,760 Speaker 1: a canad putting them in the right costume and rolling 401 00:30:02,800 --> 00:30:04,920 Speaker 1: them out there with the right words to say, and 402 00:30:05,040 --> 00:30:08,760 Speaker 1: twisting what you have to say and think. I think 403 00:30:08,840 --> 00:30:11,520 Speaker 1: those people did their job last night. I think they 404 00:30:11,640 --> 00:30:15,960 Speaker 1: did it masterfully. What you watched was those people doing 405 00:30:16,040 --> 00:30:21,280 Speaker 1: it masterfully right before your very eyes. Michelle, You're on 406 00:30:21,360 --> 00:30:23,160 Speaker 1: the Michael Berry Show. What say you, sweetheart? 407 00:30:25,280 --> 00:30:28,920 Speaker 4: Good morning, Michael. The ko punch I feel like he 408 00:30:29,040 --> 00:30:31,920 Speaker 4: missed last night was when the moderators asked him a 409 00:30:32,040 --> 00:30:36,080 Speaker 4: question and they tried to paint him as a misogynistic racist. 410 00:30:36,600 --> 00:30:39,160 Speaker 4: And the question that they asked him is why do 411 00:30:39,280 --> 00:30:42,920 Speaker 4: you keep bringing up her race? And his answer was underwhelming. 412 00:30:43,040 --> 00:30:46,080 Speaker 4: He said, you know, it doesn't matter, which anybody was 413 00:30:46,160 --> 00:30:50,200 Speaker 4: common sense, We know that. But his answer should have 414 00:30:50,320 --> 00:30:54,360 Speaker 4: been that qualifications are what matter, not race, and painted 415 00:30:54,440 --> 00:30:56,840 Speaker 4: her as a liar because what she's doing and the 416 00:30:56,920 --> 00:30:58,040 Speaker 4: reason he's bringing. 417 00:30:57,800 --> 00:30:59,880 Speaker 8: It up is she's changing her race. 418 00:31:00,000 --> 00:31:03,320 Speaker 4: She's trying to blend in with whatever crowd she's talking to. 419 00:31:03,560 --> 00:31:06,120 Speaker 8: So he should have made sure the American people know 420 00:31:06,720 --> 00:31:09,080 Speaker 8: that if she's lying on such a simple. 421 00:31:08,840 --> 00:31:13,720 Speaker 4: Subject, she's lying about everything. And I'm exhausted with the 422 00:31:13,880 --> 00:31:14,520 Speaker 4: race card. 423 00:31:15,320 --> 00:31:18,400 Speaker 8: We need a president who's qualified for the job, not 424 00:31:18,560 --> 00:31:20,960 Speaker 8: because she's a woman, not because of any race that 425 00:31:21,120 --> 00:31:21,400 Speaker 8: she is. 426 00:31:22,360 --> 00:31:25,200 Speaker 4: But she needed to be established as a liar as 427 00:31:25,280 --> 00:31:28,160 Speaker 4: many times as possible, and I feel like he missed it. 428 00:31:29,000 --> 00:31:31,400 Speaker 1: Okay on that one. All right, let me offer a 429 00:31:31,480 --> 00:31:34,720 Speaker 1: defense when you say he missed it and he should 430 00:31:34,760 --> 00:31:37,800 Speaker 1: have established her as a liar. What should he have 431 00:31:37,960 --> 00:31:39,280 Speaker 1: said she's lying. 432 00:31:39,120 --> 00:31:44,960 Speaker 4: About Well, you know, she has just publicly said that 433 00:31:45,720 --> 00:31:46,800 Speaker 4: she is different in. 434 00:31:46,920 --> 00:31:50,640 Speaker 8: Ethnicities, and I'm just saying she needs to say the 435 00:31:50,720 --> 00:31:51,760 Speaker 8: truth about her ethnicity. 436 00:31:52,240 --> 00:31:55,080 Speaker 1: No, no, no, no, no, no, no, no, Michelle, Michelle, 437 00:31:55,600 --> 00:31:57,600 Speaker 1: you wanted him to do something. I want you to 438 00:31:57,680 --> 00:31:59,680 Speaker 1: tell me exactly what you wanted him to do, and 439 00:31:59,680 --> 00:32:02,160 Speaker 1: I want explain why he couldn't do that. You wanted 440 00:32:02,240 --> 00:32:05,800 Speaker 1: him to say she's a liar about her race? Is 441 00:32:05,880 --> 00:32:07,000 Speaker 1: that what you want him to say? 442 00:32:09,120 --> 00:32:11,400 Speaker 8: No, I wish she would have said the reason I'm 443 00:32:11,440 --> 00:32:14,120 Speaker 8: bringing it up, as the question was asked, the reason 444 00:32:14,200 --> 00:32:16,040 Speaker 8: I'm bringing it up is because I want her to 445 00:32:16,280 --> 00:32:19,600 Speaker 8: establish that what is she and not keep trying to 446 00:32:19,640 --> 00:32:20,640 Speaker 8: blend in with crowd. 447 00:32:20,800 --> 00:32:22,240 Speaker 1: Let me tell you why. Let me tell you why 448 00:32:22,280 --> 00:32:26,320 Speaker 1: he couldn't do that. It is Trump is not a 449 00:32:26,400 --> 00:32:30,880 Speaker 1: coachable candidate. We all know that. But it's not true 450 00:32:31,040 --> 00:32:33,240 Speaker 1: that he doesn't look at poles and he doesn't take 451 00:32:33,320 --> 00:32:38,560 Speaker 1: any guidance. The polling shows that attacking her on race 452 00:32:38,880 --> 00:32:42,640 Speaker 1: is a loser. Now you may say you love it, 453 00:32:44,560 --> 00:32:48,040 Speaker 1: but it's a loser, and they found that that's a loser. 454 00:32:48,320 --> 00:32:51,920 Speaker 1: That's why he's moved away from it. If you want 455 00:32:51,960 --> 00:32:56,160 Speaker 1: to win an election, you don't take things that Michelle 456 00:32:56,280 --> 00:33:00,760 Speaker 1: really cares about but that others don't like and pounding them. 457 00:33:01,680 --> 00:33:04,800 Speaker 1: He dropped the issue. He made the issue go away. 458 00:33:05,240 --> 00:33:09,240 Speaker 1: And the reason is, unlike twenty twenty, he understands I've 459 00:33:09,320 --> 00:33:14,480 Speaker 1: got to be more strategic, calling it doubly. What you 460 00:33:14,560 --> 00:33:16,760 Speaker 1: wanted him to do was double down on what he 461 00:33:16,880 --> 00:33:19,040 Speaker 1: has said in the past, which he has moved away from. 462 00:33:19,520 --> 00:33:21,760 Speaker 1: That's why they brought him back into it, because she 463 00:33:22,040 --> 00:33:24,680 Speaker 1: was already scripted with an answer that went like this, 464 00:33:25,760 --> 00:33:28,280 Speaker 1: I shouldn't have to be ashamed of who I am, 465 00:33:28,480 --> 00:33:31,200 Speaker 1: and Americans shouldn't have to be ashamed of who we are. 466 00:33:31,640 --> 00:33:34,240 Speaker 1: And Donald Trump thinks if we're not white, we should 467 00:33:34,240 --> 00:33:36,800 Speaker 1: be ashamed. Well, we all can't check a box that 468 00:33:36,880 --> 00:33:41,600 Speaker 1: we're one race boom checkmate over. What Trump did was 469 00:33:41,920 --> 00:33:44,840 Speaker 1: very hard for him to do, which was bite his 470 00:33:45,040 --> 00:33:48,200 Speaker 1: tongue seed that issue and move on down the road. 471 00:33:48,400 --> 00:33:52,720 Speaker 1: Applaud him for that. That was very good. Bravo Donald Trump.