1 00:00:00,520 --> 00:00:02,400 Speaker 1: Perspective is everything. 2 00:00:02,920 --> 00:00:06,360 Speaker 2: Yesterday I was actually a little bit more down than 3 00:00:06,400 --> 00:00:10,240 Speaker 2: I am today when it comes to the aftermath of 4 00:00:10,320 --> 00:00:14,880 Speaker 2: the big debate between Donald Trump and Kamala Harris and 5 00:00:15,200 --> 00:00:18,320 Speaker 2: looking at the data and looking at what many undecided 6 00:00:18,360 --> 00:00:22,000 Speaker 2: voters have been saying, looking at many of those that 7 00:00:22,040 --> 00:00:28,320 Speaker 2: were interviewed after the debate that were declared as undecided voters, 8 00:00:28,840 --> 00:00:33,080 Speaker 2: what I am now understanding and realizing is even if 9 00:00:33,080 --> 00:00:36,120 Speaker 2: Donald Trump did not have a great night, and he didn't, 10 00:00:36,800 --> 00:00:39,519 Speaker 2: and even even if Kamala Harris had a better night 11 00:00:39,600 --> 00:00:44,440 Speaker 2: than she was expecting, which she did, it doesn't change 12 00:00:44,479 --> 00:00:47,519 Speaker 2: the fact that the American people are still having a 13 00:00:47,600 --> 00:00:51,160 Speaker 2: problem and are still struggling right now. When it comes 14 00:00:51,240 --> 00:00:54,560 Speaker 2: to the economy, it goes back to the statement, it's 15 00:00:54,560 --> 00:00:58,320 Speaker 2: the economy stupid. There are several data points that are 16 00:00:58,360 --> 00:01:03,360 Speaker 2: showing this. For a example, a Reuter's focus group actually 17 00:01:03,400 --> 00:01:08,839 Speaker 2: came out and said, with undecided voters, they still say 18 00:01:08,880 --> 00:01:11,960 Speaker 2: that Kamala Harris didn't do enough to change their mind. Now, 19 00:01:12,000 --> 00:01:15,480 Speaker 2: she may have won the debate on semantics, but what 20 00:01:15,520 --> 00:01:19,240 Speaker 2: they're telling you is she did not win when it 21 00:01:19,319 --> 00:01:22,760 Speaker 2: came to changing people's minds about what she has actually done. 22 00:01:22,800 --> 00:01:27,480 Speaker 2: And what's also interesting about the debate is how people 23 00:01:27,520 --> 00:01:30,080 Speaker 2: looked at it. They didn't look at Kamala Harris as 24 00:01:30,080 --> 00:01:34,080 Speaker 2: a new candidate. They clearly looked at her as you're 25 00:01:34,120 --> 00:01:36,920 Speaker 2: the woman in charge and you've been in charge. So 26 00:01:37,240 --> 00:01:41,000 Speaker 2: this idea that she could separate herself from Joe Biden 27 00:01:41,040 --> 00:01:44,360 Speaker 2: and Bynomics, that is not going to work. It is 28 00:01:44,440 --> 00:01:47,800 Speaker 2: not working based on what we are seeing again with 29 00:01:48,000 --> 00:01:50,880 Speaker 2: undecided voters. Now, if you are a Trump supporter, you 30 00:01:50,920 --> 00:01:54,920 Speaker 2: are very excited about what I just told you because 31 00:01:54,960 --> 00:01:59,000 Speaker 2: this is obviously very important information. In other words, it 32 00:01:59,040 --> 00:02:04,080 Speaker 2: comes down to this substance really over style. Here here's 33 00:02:04,120 --> 00:02:08,040 Speaker 2: the part that is the most interesting of undecided voters. Again, 34 00:02:08,120 --> 00:02:11,040 Speaker 2: this is coming from Reuter's News and their focus group 35 00:02:11,600 --> 00:02:15,040 Speaker 2: from debate night. Undecided voters are now leaning two to 36 00:02:15,120 --> 00:02:20,800 Speaker 2: one to Donald Trump after the debate depundits and look, 37 00:02:20,840 --> 00:02:21,360 Speaker 2: I'm one of those. 38 00:02:21,400 --> 00:02:22,080 Speaker 1: I'm a realist. 39 00:02:22,120 --> 00:02:25,760 Speaker 2: It wasn't a great night for Donald Trump, and many 40 00:02:25,800 --> 00:02:29,160 Speaker 2: on TV jumped to the excitement and declared Vice President 41 00:02:29,200 --> 00:02:32,560 Speaker 2: Kamala Harris the clear winner of Tuesday night's debate. Former 42 00:02:32,600 --> 00:02:36,480 Speaker 2: President Trump won six of ten undecided voters in a 43 00:02:36,560 --> 00:02:40,320 Speaker 2: Reuter's focus group. That's the only data to me that matters, 44 00:02:40,320 --> 00:02:43,600 Speaker 2: because if you were watching the debate and this debate 45 00:02:43,800 --> 00:02:46,960 Speaker 2: happened and you were solidly in the camp for Donald Trump, 46 00:02:47,040 --> 00:02:50,120 Speaker 2: you weren't changing going to Kamala Harris. If you were 47 00:02:50,120 --> 00:02:53,640 Speaker 2: watching the debate and you were solidly in Kamala Harris's 48 00:02:53,680 --> 00:02:56,560 Speaker 2: court as well, you were not going to change your 49 00:02:56,639 --> 00:03:00,160 Speaker 2: vote to Donald Trump. So the question came down to 50 00:03:00,400 --> 00:03:04,720 Speaker 2: swing voters, undecided voters, and former President Donald Trump. Even 51 00:03:04,800 --> 00:03:06,919 Speaker 2: after everything that happened on stage and it being a 52 00:03:06,960 --> 00:03:09,959 Speaker 2: three to one debate ABC News and the two anchors 53 00:03:10,000 --> 00:03:13,760 Speaker 2: An Harris against Trump, Trump won six of ten undecided 54 00:03:13,840 --> 00:03:16,120 Speaker 2: voters in this Reuters focus group. 55 00:03:16,280 --> 00:03:17,560 Speaker 1: That is significant. 56 00:03:17,960 --> 00:03:21,760 Speaker 2: Harris, by the way, only one three, meaning you still 57 00:03:21,800 --> 00:03:25,359 Speaker 2: have some that are quote undecided. There's also to back 58 00:03:25,400 --> 00:03:28,600 Speaker 2: this up in your Time survey of undecideds, and they 59 00:03:28,720 --> 00:03:31,799 Speaker 2: had similar results as well. I'll dive into that in 60 00:03:31,800 --> 00:03:33,440 Speaker 2: a second, but first I want to tell you about 61 00:03:33,440 --> 00:03:37,560 Speaker 2: bond arms. 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So the punit said Harris 89 00:05:11,400 --> 00:05:15,520 Speaker 2: won ABC News. I think they was pretty clear in 90 00:05:15,600 --> 00:05:20,200 Speaker 2: the aftermath they thought that it was a blood bath 91 00:05:20,240 --> 00:05:24,400 Speaker 2: and that Kamala Harris won. Debate has been widely cri 92 00:05:24,560 --> 00:05:27,840 Speaker 2: sized for bias on the part of ABC News moderators, 93 00:05:28,440 --> 00:05:32,000 Speaker 2: and it was shocking to see how they constantly were 94 00:05:32,120 --> 00:05:37,160 Speaker 2: fact checking Donald Trump and not one time did they 95 00:05:37,200 --> 00:05:41,400 Speaker 2: fact check Kamala Harris. Some political pundits also predicted the 96 00:05:41,440 --> 00:05:44,800 Speaker 2: debate would have little effect on the election. According to 97 00:05:44,839 --> 00:05:49,719 Speaker 2: the Reuters after polling right from these swing voters, six 98 00:05:49,800 --> 00:05:52,080 Speaker 2: out of ten on decided voters said they were leaning 99 00:05:52,080 --> 00:05:55,960 Speaker 2: towards Trump due to Harris's quote, vague answers, and because 100 00:05:56,000 --> 00:05:59,360 Speaker 2: they trusted Trump more on the economy, which is the 101 00:05:59,480 --> 00:06:04,880 Speaker 2: top issue of this political cycle, pulling down his shows overwhelming. 102 00:06:05,040 --> 00:06:08,200 Speaker 2: For the American people, it is the economy and high 103 00:06:08,240 --> 00:06:11,839 Speaker 2: prices and inflation is what they are concerned about the most. 104 00:06:12,520 --> 00:06:16,160 Speaker 2: Here's something else that's interesting. Reuters interviewed ten people who 105 00:06:16,200 --> 00:06:19,279 Speaker 2: were still unsure how they were going to vote in 106 00:06:19,320 --> 00:06:23,800 Speaker 2: the November fifth election before they watched the debate. Six 107 00:06:23,880 --> 00:06:26,520 Speaker 2: of them said afterwards that they would now either vote 108 00:06:26,839 --> 00:06:31,040 Speaker 2: for Trump or we are leaning towards backing Trump. Three 109 00:06:31,360 --> 00:06:34,360 Speaker 2: said they would now back Harris, and one was still 110 00:06:34,440 --> 00:06:38,160 Speaker 2: unsure how he would vote. Five said they found Harris 111 00:06:38,240 --> 00:06:40,240 Speaker 2: vague during the more than ninety minute debate on how 112 00:06:40,279 --> 00:06:42,640 Speaker 2: she would improve the US economy and deal with the 113 00:06:42,720 --> 00:06:46,479 Speaker 2: high cost of living, which was their top concern. Four 114 00:06:46,520 --> 00:06:49,680 Speaker 2: of those six also said Harris did not convince them 115 00:06:49,760 --> 00:06:55,520 Speaker 2: she would pursue different economic policies. Then Democratic President Joe Biden, 116 00:06:56,200 --> 00:06:59,440 Speaker 2: a Democrat, they largely blamed for the high cost of 117 00:06:59,480 --> 00:07:01,920 Speaker 2: living right now now, so they're saying the same thing. 118 00:07:02,440 --> 00:07:05,920 Speaker 2: It's high cost of living under Biden. You're a part 119 00:07:05,920 --> 00:07:08,440 Speaker 2: of the administration. You're not saying you're going to do 120 00:07:08,480 --> 00:07:10,880 Speaker 2: something different, So we believe we're going to have more 121 00:07:10,880 --> 00:07:12,960 Speaker 2: of the same if you are elected. 122 00:07:13,480 --> 00:07:13,680 Speaker 1: Now. 123 00:07:13,760 --> 00:07:16,960 Speaker 2: Six of the undecided voters were men, four were women, 124 00:07:17,440 --> 00:07:22,240 Speaker 2: and all had previously voted for Democrat and Republican candidates, 125 00:07:22,280 --> 00:07:25,520 Speaker 2: So this was a pretty good sample quote. I felt 126 00:07:25,520 --> 00:07:28,400 Speaker 2: like the whole debate was Kamala Harris telling me why 127 00:07:29,120 --> 00:07:31,720 Speaker 2: not to vote for Donald Trump instead of why she's 128 00:07:31,800 --> 00:07:35,760 Speaker 2: the right candidate, is what Robert Wheeler, a security form 129 00:07:35,800 --> 00:07:39,280 Speaker 2: executive in Nevada who was leaning torards Harris before the 130 00:07:39,360 --> 00:07:44,080 Speaker 2: debate said when he was asked now. Reuter's report is 131 00:07:44,120 --> 00:07:47,440 Speaker 2: supported by New York Times interviews as well of undecided 132 00:07:47,560 --> 00:07:52,320 Speaker 2: voters following the debate, saying this quote. Trump's pitch was 133 00:07:52,360 --> 00:07:55,040 Speaker 2: a little more convincing than hers, is what. A man 134 00:07:55,120 --> 00:07:59,080 Speaker 2: from Milwaukee, a previous Democratic voter, said, saying this, I 135 00:07:59,120 --> 00:08:03,120 Speaker 2: guess I'm leaning more more on his facts than her version. 136 00:08:04,000 --> 00:08:06,440 Speaker 2: Another one said, when Trump was in office, not going 137 00:08:06,440 --> 00:08:09,280 Speaker 2: to lie, I was living way better. I've never been 138 00:08:09,360 --> 00:08:13,120 Speaker 2: so down as in the past four years. It's been 139 00:08:13,200 --> 00:08:16,120 Speaker 2: so hard for me. That coming from a female voter. 140 00:08:16,920 --> 00:08:20,800 Speaker 2: Jason Anderson, a defense contractor from Arizona who voted for 141 00:08:20,800 --> 00:08:25,480 Speaker 2: former President Barack Obama, said Harris did not meet his expectations. 142 00:08:25,920 --> 00:08:30,800 Speaker 2: Trump had the more commanding presidentation. He told The Times, 143 00:08:31,240 --> 00:08:33,360 Speaker 2: there was nothing done by Harris that made me think 144 00:08:33,440 --> 00:08:37,240 Speaker 2: she's better in any way. Now here's something else that's interesting. 145 00:08:37,760 --> 00:08:41,120 Speaker 2: Sixty one percent of likely voters believe the next president 146 00:08:41,240 --> 00:08:46,400 Speaker 2: should represent a major change from the Biden Harris administration. 147 00:08:46,559 --> 00:08:49,120 Speaker 2: Going to say that again, sixty one percent of likely 148 00:08:49,240 --> 00:08:51,920 Speaker 2: voters believe there needs to be a major change from 149 00:08:51,960 --> 00:08:56,760 Speaker 2: what's happening right now, while only twenty five percent said 150 00:08:56,800 --> 00:09:01,640 Speaker 2: Harris represented that change. In a new Time Siena College poll, 151 00:09:02,280 --> 00:09:08,080 Speaker 2: a majority said Trump clearly represents the change Harris comes 152 00:09:08,120 --> 00:09:12,200 Speaker 2: in this debate. Also, with this issue, she cannot campaign 153 00:09:12,200 --> 00:09:16,040 Speaker 2: on policies to fix crime, inflation, and or border security 154 00:09:16,600 --> 00:09:20,040 Speaker 2: without actually undermining her own time in office as part 155 00:09:20,040 --> 00:09:24,360 Speaker 2: of the Biden Harris administration policies. But she must tout 156 00:09:24,360 --> 00:09:29,319 Speaker 2: the administration's policies to quote validate her record and her candidacy. 157 00:09:29,760 --> 00:09:32,079 Speaker 1: That is also an interesting point. 158 00:09:32,480 --> 00:09:35,640 Speaker 2: On CNN, they were asking about these issues, and I 159 00:09:35,679 --> 00:09:38,880 Speaker 2: want you to listen to how they said undecideds felt. 160 00:09:39,280 --> 00:09:42,240 Speaker 3: Just need to learn more about Donald Trump. Just eighteen 161 00:09:42,320 --> 00:09:44,920 Speaker 3: percent of undecided voters say they need. 162 00:09:44,800 --> 00:09:46,080 Speaker 1: To learn more about Donald Trump. 163 00:09:46,200 --> 00:09:49,560 Speaker 3: But look at this, a near majority of undecided voters 164 00:09:49,679 --> 00:09:53,080 Speaker 3: say they want or need to learn more about Kamala Harris. Look, 165 00:09:53,200 --> 00:09:56,280 Speaker 3: undecided voters don't really like either one of these folks, 166 00:09:56,440 --> 00:09:58,720 Speaker 3: Donald Trump with just an eight percent favorable Kamala Harris, 167 00:09:58,760 --> 00:10:01,080 Speaker 3: which just a thirteen percent favorble. But the bottom line 168 00:10:01,120 --> 00:10:03,560 Speaker 3: is there's a lot more room for movement for Kamala 169 00:10:03,640 --> 00:10:05,600 Speaker 3: Harris than there is for Donald Trump. So the real 170 00:10:05,679 --> 00:10:09,440 Speaker 3: question tonight is can Kamala Harris seize this opportunity, sees 171 00:10:09,480 --> 00:10:12,520 Speaker 3: the spotlight put to rest fears that they may have 172 00:10:12,600 --> 00:10:15,000 Speaker 3: about her, because the bottom line is undecided. Voters have 173 00:10:15,080 --> 00:10:17,120 Speaker 3: already made up their mind about Donald Trump. They're waiting 174 00:10:17,120 --> 00:10:18,760 Speaker 3: to make up their mind abou Kamala Harris, and how 175 00:10:18,760 --> 00:10:20,560 Speaker 3: they do so can make all the difference in the 176 00:10:20,600 --> 00:10:22,320 Speaker 3: world at the end of the day come November. 177 00:10:22,480 --> 00:10:23,920 Speaker 1: How about the expectations. 178 00:10:23,960 --> 00:10:27,160 Speaker 4: I mean people literally put money on who's going to win. 179 00:10:27,800 --> 00:10:30,400 Speaker 1: You can bet on anything. What is the expectation? 180 00:10:30,559 --> 00:10:33,120 Speaker 3: Yeah, you know if the expectation going into the first 181 00:10:33,160 --> 00:10:35,400 Speaker 3: debate of this year, remember this is the second first debate, 182 00:10:35,559 --> 00:10:38,280 Speaker 3: As my cover slide kind of indicated, right, they thought 183 00:10:38,360 --> 00:10:40,000 Speaker 3: that Donald Trump was going to win that first debate 184 00:10:40,040 --> 00:10:43,160 Speaker 3: by an eight point margin. Now the expectation game is 185 00:10:43,200 --> 00:10:45,480 Speaker 3: on the other shoe, right, on the other foot. Look 186 00:10:45,480 --> 00:10:48,040 Speaker 3: at this when it comes to Kamala Harris versus Donald Trump. 187 00:10:48,240 --> 00:10:50,400 Speaker 3: Harris the expectation is that she is going to beat 188 00:10:50,400 --> 00:10:52,520 Speaker 3: Donald Trump. Now it's not by that wide of a margin. 189 00:10:52,640 --> 00:10:55,880 Speaker 3: But I think tonight the real question is how does 190 00:10:55,920 --> 00:10:58,920 Speaker 3: Kamala Harris get viewed and judged by the American public, Because, 191 00:10:58,960 --> 00:11:01,840 Speaker 3: as I said, just to go, the American electorate has 192 00:11:01,880 --> 00:11:03,959 Speaker 3: made up their mind about Donald Trump, they haven't made 193 00:11:04,000 --> 00:11:05,719 Speaker 3: up their mind about Kamala Harris. And this may be 194 00:11:05,800 --> 00:11:08,680 Speaker 3: her last best chance to get them on her side 195 00:11:08,679 --> 00:11:11,600 Speaker 3: of the equation and not go with the Republican nominee 196 00:11:11,640 --> 00:11:12,080 Speaker 3: for president. 197 00:11:12,679 --> 00:11:14,920 Speaker 1: So that's what it boils down to. That was coming 198 00:11:15,000 --> 00:11:15,960 Speaker 1: from CNN. 199 00:11:16,520 --> 00:11:20,960 Speaker 2: Look, they're saying that, hey, tonight's pretty much about Kamala Harris. Okay, 200 00:11:21,160 --> 00:11:25,640 Speaker 2: undecided voters dislike Donald Trump, right, Those that dislike him 201 00:11:26,120 --> 00:11:28,680 Speaker 2: and have made up their minds on him, they're over there. 202 00:11:29,160 --> 00:11:32,199 Speaker 2: But about half of undecided, on the other hand, want 203 00:11:32,280 --> 00:11:36,280 Speaker 2: to learn more about Harris, and Harris couldn't seize that 204 00:11:36,400 --> 00:11:39,640 Speaker 2: opportunity as what they saw, they didn't like what they saw, 205 00:11:39,720 --> 00:11:42,959 Speaker 2: they didn't like what was actually said. And I also 206 00:11:43,080 --> 00:11:47,199 Speaker 2: go back to this, I think the response the closing 207 00:11:47,480 --> 00:11:51,640 Speaker 2: argument from Donald Trump, if you were still watching the debate, 208 00:11:52,480 --> 00:11:56,880 Speaker 2: was a closing argument that really left you thinking in 209 00:11:56,920 --> 00:11:58,880 Speaker 2: your head. And Donald Trump should have used that moment 210 00:11:59,000 --> 00:12:04,400 Speaker 2: is closing argument during the middle, during the beginning, every 211 00:12:04,520 --> 00:12:07,000 Speaker 2: aspect of the debate should have been him asking this 212 00:12:07,080 --> 00:12:09,440 Speaker 2: question to the American people. Now, Thank goodness he did 213 00:12:09,520 --> 00:12:12,040 Speaker 2: at the end because it clearly had an impact with 214 00:12:12,120 --> 00:12:15,559 Speaker 2: the undecided voters that were watching. And what he said 215 00:12:15,800 --> 00:12:18,360 Speaker 2: was the simple question I've been saying over and over again, 216 00:12:18,600 --> 00:12:21,120 Speaker 2: are you better off now than you were four years ago? 217 00:12:21,480 --> 00:12:23,920 Speaker 2: And then he reminded people that if this is the 218 00:12:23,920 --> 00:12:26,000 Speaker 2: woman who's saying she's going to fix all your problems, 219 00:12:26,040 --> 00:12:29,440 Speaker 2: why hasn't she done it already while she is in power? 220 00:12:30,000 --> 00:12:32,440 Speaker 4: So she just started by saying she's going to do this, 221 00:12:32,520 --> 00:12:34,199 Speaker 4: She's going to do that, she's going to do all 222 00:12:34,240 --> 00:12:38,240 Speaker 4: these wonderful things. Why hasn't she done it. She's been 223 00:12:38,280 --> 00:12:41,000 Speaker 4: there for three and a half years. They've had three 224 00:12:41,040 --> 00:12:43,839 Speaker 4: and a half years to fix the border, they've had 225 00:12:43,880 --> 00:12:47,120 Speaker 4: three and a half years to create jobs and all 226 00:12:47,160 --> 00:12:50,560 Speaker 4: the things we talked about. Why hasn't she done it? 227 00:12:50,920 --> 00:12:54,000 Speaker 4: She should leave right now, go down to that beautiful 228 00:12:54,000 --> 00:12:57,120 Speaker 4: White House, go to the Capitol, get everyone together and 229 00:12:57,160 --> 00:12:58,839 Speaker 4: do the things you want to do. But you haven't 230 00:12:58,840 --> 00:13:01,400 Speaker 4: done it, and you won't do it because you believe 231 00:13:01,440 --> 00:13:04,440 Speaker 4: in things that the American people don't believe in. You 232 00:13:04,559 --> 00:13:07,600 Speaker 4: believe in things like we're not going to frack, we're 233 00:13:07,640 --> 00:13:09,319 Speaker 4: not going to take fossil fuel. We're not going to 234 00:13:09,400 --> 00:13:12,400 Speaker 4: do things that are going to make this country strong, 235 00:13:12,440 --> 00:13:13,199 Speaker 4: whether you like. 236 00:13:13,200 --> 00:13:13,600 Speaker 2: It or not. 237 00:13:14,160 --> 00:13:17,080 Speaker 4: Germany tried that and within one year they were back 238 00:13:17,160 --> 00:13:21,600 Speaker 4: to building normal energy plants. We're not ready for it. 239 00:13:21,880 --> 00:13:26,320 Speaker 4: We can't sacrifice our country for the sake of bad vision. 240 00:13:26,559 --> 00:13:30,320 Speaker 4: But I just ask one simple question, why didn't she 241 00:13:30,480 --> 00:13:34,400 Speaker 4: do it. We're a failing nation. We're a nation that's 242 00:13:34,440 --> 00:13:38,160 Speaker 4: in serious decline. We're being laughed at all over the world. 243 00:13:38,240 --> 00:13:40,280 Speaker 4: All over the world they laugh. I know the leaders 244 00:13:40,400 --> 00:13:43,040 Speaker 4: very well. They're coming to see me, they call me. 245 00:13:43,559 --> 00:13:46,160 Speaker 4: We're laughed at all over the world. They don't understand 246 00:13:46,200 --> 00:13:49,080 Speaker 4: what happened to us as a nation. We're not a leader. 247 00:13:49,360 --> 00:13:52,360 Speaker 4: We don't have any idea what's going on. We have 248 00:13:52,480 --> 00:13:54,840 Speaker 4: wars going on in the Middle East, we have wars 249 00:13:54,880 --> 00:13:58,760 Speaker 4: going on with Russia and Ukraine. We're going to end 250 00:13:58,840 --> 00:14:00,960 Speaker 4: up in a Third World War, and it'll be a 251 00:14:01,000 --> 00:14:04,000 Speaker 4: war like no other because of nuclear weapons, the power 252 00:14:04,040 --> 00:14:08,960 Speaker 4: of weaponry. I rebuilt our entire military. She gave a 253 00:14:09,000 --> 00:14:12,480 Speaker 4: lot of it away to the Taliban, she gave it 254 00:14:12,520 --> 00:14:16,440 Speaker 4: to Afghanistan. What these people have done to our country, 255 00:14:16,640 --> 00:14:20,240 Speaker 4: and maybe toughest of all is allowing millions of people 256 00:14:20,320 --> 00:14:22,960 Speaker 4: to come into our country. Many of them are criminals, 257 00:14:23,120 --> 00:14:27,040 Speaker 4: and they're destroying our country. The worst president, the worst 258 00:14:27,160 --> 00:14:30,440 Speaker 4: vice president in the history of our country. 259 00:14:31,400 --> 00:14:35,160 Speaker 2: That was probably what saved the night for Donald Trump, 260 00:14:35,400 --> 00:14:39,440 Speaker 2: and it reminded people that you just have to ask 261 00:14:39,480 --> 00:14:43,120 Speaker 2: yourself this question, are you better off now than you 262 00:14:43,200 --> 00:14:44,160 Speaker 2: were four years ago? 263 00:14:44,560 --> 00:14:46,960 Speaker 1: And who's in charge now? It is Kamala Harris. 264 00:14:47,480 --> 00:14:49,200 Speaker 2: So the idea that she's going to fix all of 265 00:14:49,240 --> 00:14:52,880 Speaker 2: your problems, why hasn't she done it yet? Why isn't 266 00:14:52,880 --> 00:14:56,480 Speaker 2: she doing what she claims she's about to do? And 267 00:14:56,560 --> 00:15:00,320 Speaker 2: what the voters were looking at was very different than 268 00:15:00,360 --> 00:15:04,160 Speaker 2: what the pundits were watching and looking at. The pundits 269 00:15:04,200 --> 00:15:07,480 Speaker 2: were looking at winning and losing. The voters, especially on 270 00:15:07,600 --> 00:15:11,240 Speaker 2: decided voters were looking at who's got a policy specifically 271 00:15:11,600 --> 00:15:13,720 Speaker 2: that is going to get me back to where I 272 00:15:13,840 --> 00:15:17,600 Speaker 2: wasn't living paycheck to paycheck, are constantly stressed out or 273 00:15:17,640 --> 00:15:20,960 Speaker 2: constantly feeling the pressure or constantly saying no to buying 274 00:15:21,160 --> 00:15:24,200 Speaker 2: basic things for my kids or my family. 275 00:15:24,920 --> 00:15:27,600 Speaker 1: That is what they were looking at. 276 00:15:28,280 --> 00:15:32,160 Speaker 2: There's also other things that really hit, and it hits 277 00:15:32,240 --> 00:15:35,840 Speaker 2: the day after the debate. The cost of Kamala is 278 00:15:35,880 --> 00:15:38,400 Speaker 2: a question that I think Donald Trump needs to be 279 00:15:38,400 --> 00:15:42,360 Speaker 2: bringing up more often. Stock market plunged after the president's 280 00:15:42,440 --> 00:15:48,040 Speaker 2: debate because of higher core inflation. Investors appeared to well 281 00:15:48,120 --> 00:15:50,960 Speaker 2: be worried of the risk that Kamala Harris could actually 282 00:15:51,000 --> 00:15:55,400 Speaker 2: win the presidential contest, sitting the major market indexes plunging 283 00:15:55,440 --> 00:15:59,800 Speaker 2: on the morning after the debate. Why they're worried if 284 00:15:59,840 --> 00:16:02,440 Speaker 2: this this woman gets an office with price controls and 285 00:16:02,520 --> 00:16:05,760 Speaker 2: all the other radical spinning ideas that she has, that 286 00:16:05,840 --> 00:16:09,240 Speaker 2: we're going to be in serious trouble. Harris also said 287 00:16:09,280 --> 00:16:11,720 Speaker 2: she would seek to hike a broad range of taxes 288 00:16:12,040 --> 00:16:16,160 Speaker 2: that is something many Americans can't afford, including taxes on 289 00:16:16,200 --> 00:16:21,320 Speaker 2: corporate profits, which would cost millions of jobs. She also 290 00:16:21,360 --> 00:16:24,560 Speaker 2: says she's going to come after unrealized capital gains. Many 291 00:16:24,640 --> 00:16:27,160 Speaker 2: believe that's actually unconstitutional, but she says, I don't care. 292 00:16:27,160 --> 00:16:29,320 Speaker 2: I'm gonna do it anyway. That would go after the 293 00:16:29,320 --> 00:16:32,520 Speaker 2: income of many Americans who are retired and many Americans 294 00:16:32,840 --> 00:16:36,480 Speaker 2: who have worked hard to save many investors in the 295 00:16:36,520 --> 00:16:40,360 Speaker 2: walls and Wall Street analysts think these taxes would weigh 296 00:16:40,640 --> 00:16:44,280 Speaker 2: extremely heavy on the stock market, which is exactly why 297 00:16:44,320 --> 00:16:47,880 Speaker 2: we saw it fall. So you look at this and 298 00:16:48,600 --> 00:16:51,000 Speaker 2: I take a step back, and I say, hey, the 299 00:16:51,080 --> 00:16:55,640 Speaker 2: pundits sometimes get it wrong. And pundits look at simple 300 00:16:55,720 --> 00:16:57,920 Speaker 2: things like who won who lost, right like we do. 301 00:16:58,080 --> 00:16:59,720 Speaker 1: We look at that. I'm one of them. 302 00:17:00,280 --> 00:17:04,880 Speaker 2: But after seeing the data, I'm not sure that this 303 00:17:05,560 --> 00:17:09,280 Speaker 2: debate win for Harris, and I do I will never 304 00:17:09,400 --> 00:17:11,600 Speaker 2: lie to you, guys. I think it was probably a win. 305 00:17:11,640 --> 00:17:14,159 Speaker 2: It was a three against one win for Harris. But 306 00:17:14,280 --> 00:17:18,160 Speaker 2: I do believe that this win for Harris is actually 307 00:17:18,200 --> 00:17:21,920 Speaker 2: not that big of a deal at all. Now, there's 308 00:17:22,000 --> 00:17:26,439 Speaker 2: also a third aspect of this campaign. In this election, 309 00:17:26,560 --> 00:17:29,160 Speaker 2: there's an X factor here, and that is a lot 310 00:17:29,200 --> 00:17:33,760 Speaker 2: of conservative women abandoned Donald Trump in the last election. 311 00:17:33,880 --> 00:17:36,000 Speaker 2: They were tired of the mean tweets, they were tired 312 00:17:36,000 --> 00:17:40,359 Speaker 2: of him just being incredibly blunt as he is. They 313 00:17:40,359 --> 00:17:45,679 Speaker 2: didn't like his demeanor, and they didn't vote for maybe 314 00:17:45,800 --> 00:17:49,520 Speaker 2: Joe Biden, but they just did. But they didn't vote 315 00:17:49,520 --> 00:17:52,920 Speaker 2: at all for a conservative candidate. That was a problem. 316 00:17:53,280 --> 00:17:55,880 Speaker 2: When you stay home and the other side doesn't stay home, 317 00:17:55,920 --> 00:17:59,119 Speaker 2: Guess what, they get a point, They get a vote 318 00:17:59,320 --> 00:18:03,080 Speaker 2: and you don't. So what does this mean for women? Well, 319 00:18:03,200 --> 00:18:05,679 Speaker 2: one of those women that I had that has a 320 00:18:05,800 --> 00:18:08,240 Speaker 2: very big audience is a dear friend of mine, Megan McCain, 321 00:18:08,280 --> 00:18:11,879 Speaker 2: that would be John McCain's daughter, and I wanted to 322 00:18:11,880 --> 00:18:15,359 Speaker 2: get her take on Donald Trump in this debate. Megan 323 00:18:15,560 --> 00:18:20,280 Speaker 2: I as soon as I saw this debate and I rapped, 324 00:18:20,320 --> 00:18:22,320 Speaker 2: I was like, I want to talk to you because 325 00:18:22,760 --> 00:18:25,200 Speaker 2: you warned everybody this is what you're going to get 326 00:18:25,240 --> 00:18:28,760 Speaker 2: when you go to ABC News. Were you shocked by 327 00:18:29,040 --> 00:18:32,280 Speaker 2: the bias aspect of the three on one as much 328 00:18:32,280 --> 00:18:34,119 Speaker 2: as I was, Like, I couldn't believe it from the 329 00:18:34,200 --> 00:18:36,719 Speaker 2: very beginning, like they were prepped and prepared to hammer 330 00:18:36,840 --> 00:18:40,399 Speaker 2: Donald Trump on anything they could, and they let Kamala 331 00:18:40,480 --> 00:18:43,280 Speaker 2: Harris get away with a significant number of lies. 332 00:18:44,880 --> 00:18:48,160 Speaker 5: So the only reason why I was surprised is because 333 00:18:48,320 --> 00:18:51,919 Speaker 5: I was expecting the last CNN debate to be really 334 00:18:52,119 --> 00:18:54,879 Speaker 5: biased and awful, and I actually thought Agana Bash and 335 00:18:54,960 --> 00:18:58,639 Speaker 5: Jake Tpper were very fair when they interviewed President Biden 336 00:18:58,880 --> 00:19:01,359 Speaker 5: and you know, President Trump in the last debate. So 337 00:19:01,720 --> 00:19:04,440 Speaker 5: I thought that like maybe there was a slight possibility 338 00:19:04,760 --> 00:19:08,280 Speaker 5: that you know, someone at ABC had seen that and 339 00:19:08,359 --> 00:19:12,440 Speaker 5: learned their lesson. And and you know, look, I hear 340 00:19:12,520 --> 00:19:14,600 Speaker 5: from my friends who still work at ABC, like their 341 00:19:14,680 --> 00:19:19,480 Speaker 5: ratings are down everywhere, like like significantly and historically down. 342 00:19:19,680 --> 00:19:22,600 Speaker 5: And I just know from my old show, like you know, 343 00:19:22,680 --> 00:19:25,199 Speaker 5: it's just it's just not where it once was. And 344 00:19:25,240 --> 00:19:27,919 Speaker 5: I thank you in no small part it's because conservatives 345 00:19:27,920 --> 00:19:30,280 Speaker 5: aren't watching and Republicans don't trust the network. And I 346 00:19:30,359 --> 00:19:34,639 Speaker 5: just think that I was, I was, I was really 347 00:19:34,680 --> 00:19:37,200 Speaker 5: taken aback just how egregious it was. And it wasn't 348 00:19:37,240 --> 00:19:41,320 Speaker 5: just a fact checking, It was the questions that were asked, Like, respectfully, 349 00:19:42,160 --> 00:19:45,600 Speaker 5: January sixth is a horrible day. We have litigated January 350 00:19:45,640 --> 00:19:48,520 Speaker 5: six into the ground. I have a good friend who 351 00:19:48,520 --> 00:19:51,040 Speaker 5: could not go on summer vacation this summer because her 352 00:19:51,080 --> 00:19:54,359 Speaker 5: family can't afford the groceries and the gas, and what 353 00:19:54,440 --> 00:19:56,920 Speaker 5: inflation is doing to her family. That is the kind 354 00:19:56,920 --> 00:19:59,119 Speaker 5: of questions that should have been asked really directly with 355 00:19:59,240 --> 00:20:02,600 Speaker 5: follow ups, Like I learned absolutely nothing from that debate 356 00:20:02,640 --> 00:20:05,359 Speaker 5: last night, and I also think no, Republicans need to 357 00:20:05,400 --> 00:20:08,199 Speaker 5: stop agreeing to this. We need to stop going on 358 00:20:08,280 --> 00:20:10,920 Speaker 5: these networks. There is no point. And I actually think 359 00:20:10,960 --> 00:20:11,560 Speaker 5: I was talking to a. 360 00:20:11,600 --> 00:20:15,440 Speaker 2: Friend this is this is where I'm so I love 361 00:20:15,520 --> 00:20:17,680 Speaker 2: the point that you just made, But then you would 362 00:20:17,720 --> 00:20:20,520 Speaker 2: have no debates, right because I. 363 00:20:20,480 --> 00:20:22,640 Speaker 5: Mean your venues. 364 00:20:23,040 --> 00:20:24,920 Speaker 1: So where explain? I'm intrigued. 365 00:20:26,040 --> 00:20:28,920 Speaker 5: Okay, so tell me if I'm crazy. I actually think 366 00:20:29,080 --> 00:20:31,560 Speaker 5: last night I was like if some if a network 367 00:20:31,680 --> 00:20:33,560 Speaker 5: or you know you or some you know, we don't 368 00:20:33,560 --> 00:20:36,040 Speaker 5: need these old platforms anymore. Like Megan Kelly is getting 369 00:20:36,080 --> 00:20:38,680 Speaker 5: like more like hundreds of millions of views on her 370 00:20:38,800 --> 00:20:41,639 Speaker 5: show this on YouTube than all of the network news 371 00:20:41,720 --> 00:20:45,200 Speaker 5: channels combined. I think if you said, Megan Kelly, Strala, 372 00:20:45,240 --> 00:20:47,600 Speaker 5: Mainma God and Joe Rogan, the three of you are 373 00:20:47,680 --> 00:20:49,560 Speaker 5: up and you're going to moderate this debate, and you're 374 00:20:49,560 --> 00:20:51,960 Speaker 5: going to take a bunch of questions from average Americans 375 00:20:51,960 --> 00:20:55,720 Speaker 5: that are not you know, shown in advance or screens 376 00:20:55,720 --> 00:20:58,960 Speaker 5: in advance. I bet you that people would do it 377 00:20:59,320 --> 00:21:01,639 Speaker 5: just for the public to be alone. Maybe Kamala Harris 378 00:21:01,640 --> 00:21:04,040 Speaker 5: wouldn't do it, But I just think the gatekeeping of 379 00:21:04,080 --> 00:21:07,720 Speaker 5: these very specific networks and these very specific moderators, they're 380 00:21:07,720 --> 00:21:12,320 Speaker 5: clearly not up to it. I wasted my time last night, 381 00:21:12,400 --> 00:21:14,560 Speaker 5: and you have young kids. I have young kids. It 382 00:21:14,600 --> 00:21:16,159 Speaker 5: starts a nine o'clock at night. I didn't go to 383 00:21:16,200 --> 00:21:19,800 Speaker 5: sleep till twelve thirty. I'm tired today, Like absolute waste 384 00:21:20,000 --> 00:21:24,040 Speaker 5: of mom and dad's times. Last night. I learned nothing 385 00:21:24,080 --> 00:21:26,399 Speaker 5: and it was just and then I'm sorry, But like 386 00:21:26,960 --> 00:21:29,560 Speaker 5: the Taylor Swift endorsement that happened right as soon as 387 00:21:29,600 --> 00:21:32,679 Speaker 5: the debate was over, and then the just self adulation 388 00:21:32,920 --> 00:21:36,159 Speaker 5: of so many quote unquote respected news journalists about a 389 00:21:36,160 --> 00:21:39,640 Speaker 5: pop stars endorsement, I also found just embarrassing. 390 00:21:39,680 --> 00:21:41,320 Speaker 2: And to me, it was so bad, and it was 391 00:21:41,359 --> 00:21:44,560 Speaker 2: obviously pre planned by the Harris Biden campaign, right it 392 00:21:44,600 --> 00:21:45,959 Speaker 2: was like, hey, we want you to do this right 393 00:21:46,000 --> 00:21:49,000 Speaker 2: after the debate. It's a great distraction point if we lose, 394 00:21:49,119 --> 00:21:51,200 Speaker 2: it's a great perk if we win. 395 00:21:51,760 --> 00:21:52,000 Speaker 1: You know. 396 00:21:52,160 --> 00:21:55,239 Speaker 2: And I also think this is where we are in 397 00:21:55,280 --> 00:21:59,040 Speaker 2: this country. I said earlier that it's amazing to me 398 00:22:00,080 --> 00:22:03,960 Speaker 2: that Americans get more in a tizzy over cats and 399 00:22:04,000 --> 00:22:08,840 Speaker 2: dogs missing, or you know, Canadian geese being you know, 400 00:22:09,440 --> 00:22:11,280 Speaker 2: walk down the street dead in the hands of a 401 00:22:11,320 --> 00:22:14,159 Speaker 2: Haitian that pictures out there, or the nine to one 402 00:22:14,200 --> 00:22:17,240 Speaker 2: to one phone call that I played this morning from 403 00:22:17,359 --> 00:22:19,720 Speaker 2: where this is all going on of a guy saying, Hey, 404 00:22:19,720 --> 00:22:22,040 Speaker 2: there's three guys that look like they're like Haitians that 405 00:22:22,080 --> 00:22:24,199 Speaker 2: are walking down the street now with ducks from the pond, 406 00:22:24,680 --> 00:22:26,560 Speaker 2: like this is insane. And we played the nine one 407 00:22:26,600 --> 00:22:28,960 Speaker 2: one call to prove that again. They said this never 408 00:22:29,000 --> 00:22:32,240 Speaker 2: happened on ABC last night. It absolutely is happening. Look 409 00:22:32,280 --> 00:22:35,000 Speaker 2: at the police reports and look at the nine one calls. 410 00:22:35,080 --> 00:22:37,080 Speaker 2: I think Trump should have been better prepared to respond 411 00:22:37,119 --> 00:22:39,159 Speaker 2: with that, and it would have been a great moment 412 00:22:39,240 --> 00:22:39,640 Speaker 2: for him. 413 00:22:39,680 --> 00:22:41,240 Speaker 1: He was not prepared for that. 414 00:22:41,720 --> 00:22:44,040 Speaker 2: But the part that irritates me the most, Megan, is 415 00:22:44,560 --> 00:22:47,439 Speaker 2: when did we like become so to eighty d as 416 00:22:47,480 --> 00:22:53,600 Speaker 2: a nation that average voters pay attention on this crap. 417 00:22:53,840 --> 00:22:56,880 Speaker 1: More than twenty million legal immigrants coming. 418 00:22:56,680 --> 00:22:59,959 Speaker 2: Across the border that are killing our kids with fetnel overdoe, 419 00:23:01,160 --> 00:23:06,240 Speaker 2: that are that are raping and killing children and women 420 00:23:07,280 --> 00:23:13,040 Speaker 2: killing American citizens, taking away our safety in the streets 421 00:23:13,080 --> 00:23:15,720 Speaker 2: like New York City where you used to live, where 422 00:23:15,800 --> 00:23:18,000 Speaker 2: seventy five percent of the crimes not being committed in 423 00:23:18,040 --> 00:23:20,760 Speaker 2: New York City proper are being done by illegal immigrants, 424 00:23:21,080 --> 00:23:23,199 Speaker 2: and no one gives a crap about that. But you 425 00:23:23,280 --> 00:23:25,639 Speaker 2: talk about a dog or a cat, or a goose 426 00:23:25,760 --> 00:23:28,720 Speaker 2: or a duck, and now everyone's paying attention. 427 00:23:29,560 --> 00:23:33,080 Speaker 5: Well, I actually think I give the American public credit 428 00:23:33,359 --> 00:23:35,159 Speaker 5: that I do think they're paying attention. And I do 429 00:23:35,240 --> 00:23:37,480 Speaker 5: think like the border wasn't even brought up last night. 430 00:23:37,480 --> 00:23:40,040 Speaker 5: Did anyone else notice that? I waska believe this hasn't 431 00:23:40,080 --> 00:23:42,240 Speaker 5: been a main issue, and we're spending And I was 432 00:23:42,240 --> 00:23:45,280 Speaker 5: actually really frustrated that President Trump didn't pushed back more 433 00:23:45,280 --> 00:23:47,840 Speaker 5: on the abortion question. Someone has got to get Vice 434 00:23:47,880 --> 00:23:51,719 Speaker 5: President Harris to answer at what week and what months 435 00:23:51,720 --> 00:23:55,200 Speaker 5: she thinks is enough for a late term abortion, because 436 00:23:55,200 --> 00:23:57,399 Speaker 5: we know the answer is probably like thirty seven weeks. 437 00:23:57,640 --> 00:24:00,000 Speaker 5: We know they're completely radical on it. I was disappointed 438 00:24:00,080 --> 00:24:02,520 Speaker 5: he didn't push back on it. I don't look, I 439 00:24:02,520 --> 00:24:05,080 Speaker 5: don't think he did a good job either. I was 440 00:24:05,200 --> 00:24:07,400 Speaker 5: very disappointed. Performance I agree with you that I thought 441 00:24:07,400 --> 00:24:09,800 Speaker 5: he took debate and there were so many opportunities to 442 00:24:09,800 --> 00:24:13,280 Speaker 5: push back on her just absolute radicalism. But I think 443 00:24:13,320 --> 00:24:15,280 Speaker 5: the American public are really savvy I think the American 444 00:24:15,320 --> 00:24:18,119 Speaker 5: public know that. It look even for me, it's like 445 00:24:18,160 --> 00:24:20,919 Speaker 5: I can't believe how much money I'm spending on groceries 446 00:24:21,200 --> 00:24:24,000 Speaker 5: every month. The average American is going to the grocery store, 447 00:24:24,680 --> 00:24:27,439 Speaker 5: is getting hit really hard with inflation, can't buy a house. 448 00:24:27,800 --> 00:24:29,600 Speaker 5: The American dream doesn't feel like it's the same as 449 00:24:29,600 --> 00:24:31,879 Speaker 5: it used to. I still think that a lot of 450 00:24:31,880 --> 00:24:35,159 Speaker 5: this could be not an illusion that's too strong. But 451 00:24:36,119 --> 00:24:38,680 Speaker 5: I don't know if who is buying this was Vice 452 00:24:38,720 --> 00:24:42,280 Speaker 5: President Harris other than the already converted like what independent 453 00:24:42,320 --> 00:24:44,119 Speaker 5: Lawler watched that last night and was like, you know what, 454 00:24:44,160 --> 00:24:46,680 Speaker 5: I was on the fence, but Vice President Harris was 455 00:24:46,720 --> 00:24:49,479 Speaker 5: a girl boss and now Taylor swifted indoors. I'm in, Like, 456 00:24:49,560 --> 00:24:52,040 Speaker 5: I just I don't think that person actually exists. 457 00:24:52,359 --> 00:24:55,800 Speaker 2: Yeah, I think it was a win for Harris last night. 458 00:24:55,920 --> 00:24:58,600 Speaker 2: I think Donald Trump lost the debate if it's just 459 00:24:58,640 --> 00:25:01,000 Speaker 2: a simple winner lose, but it, like you said, I 460 00:25:01,040 --> 00:25:04,600 Speaker 2: don't think it moved the needle that much because even 461 00:25:04,600 --> 00:25:07,320 Speaker 2: the undecided voters that were talked to on MSNBC and 462 00:25:07,359 --> 00:25:11,760 Speaker 2: CNN I played this earlier, they were like, the economy 463 00:25:11,800 --> 00:25:15,080 Speaker 2: still sucks and Donald Trump my life was better when 464 00:25:15,080 --> 00:25:18,080 Speaker 2: he was president. And that's the maybe the saving grace 465 00:25:18,119 --> 00:25:21,399 Speaker 2: for Trump in the debate, if you're his team, is 466 00:25:21,800 --> 00:25:25,040 Speaker 2: that things are so bad with inflation and the economy 467 00:25:25,160 --> 00:25:28,639 Speaker 2: right now, and and house the home, you know, is 468 00:25:28,760 --> 00:25:33,200 Speaker 2: unaffordability for example, that this is going to be a problem. 469 00:25:33,320 --> 00:25:36,480 Speaker 2: Your podcast, by the way, which you do, and everybody 470 00:25:36,520 --> 00:25:38,840 Speaker 2: listening you should download it, says to mccannon, it's amazing 471 00:25:39,400 --> 00:25:43,280 Speaker 2: you talk a lot about about women and women voters 472 00:25:43,359 --> 00:25:47,440 Speaker 2: and women issues, not twenty four to seven politics. When 473 00:25:47,480 --> 00:25:51,080 Speaker 2: you look at it through your audience. Do you think 474 00:25:51,359 --> 00:25:54,320 Speaker 2: your audience was really moved in either direction last night? 475 00:25:54,359 --> 00:25:57,080 Speaker 2: When you look at just average moms who are busy, 476 00:25:57,119 --> 00:26:00,080 Speaker 2: they have kids, they're not always paying attention tool it 477 00:26:00,119 --> 00:26:01,680 Speaker 2: takes like you and I do twenty four to seven. 478 00:26:02,520 --> 00:26:06,640 Speaker 5: No, but I have like eighty eight percent female audience, 479 00:26:06,640 --> 00:26:09,600 Speaker 5: and they tend to be overwhelmingly Christian conservative women. So 480 00:26:09,920 --> 00:26:12,080 Speaker 5: my audience is a lot like me. I think a 481 00:26:12,119 --> 00:26:15,919 Speaker 5: lot of women are really upset again. I've been seeing it, 482 00:26:16,000 --> 00:26:18,639 Speaker 5: just like Percoly on my social media channels too, like 483 00:26:18,840 --> 00:26:21,159 Speaker 5: people are really upset that no one's calling Vice President 484 00:26:21,160 --> 00:26:23,280 Speaker 5: Harris out on her extreme abortion stance. 485 00:26:23,320 --> 00:26:26,200 Speaker 1: I don't understand you do believe this is an election issue? 486 00:26:26,240 --> 00:26:27,840 Speaker 1: He should double down on this. 487 00:26:28,400 --> 00:26:31,119 Speaker 5: I just think someone should call her out on the 488 00:26:31,200 --> 00:26:33,680 Speaker 5: extremism of the left. I mean, and by the way, 489 00:26:33,960 --> 00:26:36,720 Speaker 5: her saying that she owns a gun, I need proof 490 00:26:36,760 --> 00:26:39,119 Speaker 5: of that. I don't believe it. That sounds like a 491 00:26:39,119 --> 00:26:41,399 Speaker 5: weird lie, Like, really, you're a gun owner, like in 492 00:26:41,440 --> 00:26:43,800 Speaker 5: the Bay Area, you were out shooting, like skeet shooting, 493 00:26:44,440 --> 00:26:46,159 Speaker 5: like with the rest of us. I just don't believe it. 494 00:26:46,240 --> 00:26:50,240 Speaker 5: I think I think women's issues are just human issues, 495 00:26:50,280 --> 00:26:52,280 Speaker 5: and I always think the loss tries to make it 496 00:26:52,280 --> 00:26:55,240 Speaker 5: it's just women only care about like you know, abortion 497 00:26:55,720 --> 00:26:58,800 Speaker 5: and girl boss stuff. And that's a fallacy that I 498 00:26:58,840 --> 00:27:01,520 Speaker 5: think completely revealed itself to go out the window in 499 00:27:01,560 --> 00:27:04,800 Speaker 5: the twenty fifteen election with Hillary Clinton. And I always 500 00:27:04,840 --> 00:27:07,000 Speaker 5: think that Democrats think that women are a monolith. 501 00:27:07,080 --> 00:27:07,359 Speaker 4: We're not. 502 00:27:08,320 --> 00:27:10,399 Speaker 5: You know, they're just as many pro life women as 503 00:27:10,400 --> 00:27:12,239 Speaker 5: they are a pro choice woman in the country. And 504 00:27:12,880 --> 00:27:15,959 Speaker 5: I just I don't know, but the messaging, Look, I'm 505 00:27:16,000 --> 00:27:17,399 Speaker 5: gonna tell you, I'm going to keep it real, Like 506 00:27:17,440 --> 00:27:19,879 Speaker 5: the messaging has been really bad. The Jenier gap is 507 00:27:19,880 --> 00:27:22,920 Speaker 5: really extreme in this election we have a fourteen point deficit, 508 00:27:23,200 --> 00:27:25,480 Speaker 5: and it's exhausting for people like you know, me and 509 00:27:25,520 --> 00:27:28,359 Speaker 5: Ali Bestucky and like women who do like really hard 510 00:27:28,359 --> 00:27:31,040 Speaker 5: work to get women in America to see why conservatism 511 00:27:31,160 --> 00:27:33,720 Speaker 5: is the right path for our country and our families, 512 00:27:34,040 --> 00:27:36,359 Speaker 5: and then to have like you know, Childless Cat Lady 513 00:27:36,400 --> 00:27:38,520 Speaker 5: be the talking point for months and months and months 514 00:27:38,520 --> 00:27:40,880 Speaker 5: because the media will jump all over it and it's, 515 00:27:40,920 --> 00:27:44,320 Speaker 5: you know, just a ridiculous thing to say. It's damaging. 516 00:27:44,720 --> 00:27:47,960 Speaker 5: It is find her workmate last night, Childless cat Ladies. 517 00:27:48,240 --> 00:27:52,080 Speaker 2: Yeah, no, it's You're absolutely right. Grab her podcast says 518 00:27:52,080 --> 00:27:54,800 Speaker 2: the McCain. Wherever you get your podcasts, my dear friend, 519 00:27:55,240 --> 00:27:58,359 Speaker 2: Megan McCain, will I'm looking hey, I'm looking forward to 520 00:27:58,359 --> 00:28:02,080 Speaker 2: having you back on the show soon, and grab her podcasts. McCain, 521 00:28:02,119 --> 00:28:04,840 Speaker 2: wherever you get your podcasts. 522 00:28:04,880 --> 00:28:06,640 Speaker 1: I love you. We'll see you back here soon. 523 00:28:07,119 --> 00:28:09,480 Speaker 2: Make sure you share this podcast with your family and 524 00:28:09,520 --> 00:28:11,760 Speaker 2: your friends, and I'll see you back here tomorrow.