1 00:00:00,800 --> 00:00:03,000 Speaker 1: All right, thank you, Scott channannan, thanks to all of 2 00:00:03,000 --> 00:00:06,160 Speaker 1: you for being with us. Right down our toll free 3 00:00:06,280 --> 00:00:08,320 Speaker 1: telephone number. You know what we might do, Lindon. We 4 00:00:08,400 --> 00:00:10,720 Speaker 1: might take calls because we don't we have a lot 5 00:00:10,720 --> 00:00:13,360 Speaker 1: of guests today and maybe we'll do it at the 6 00:00:13,400 --> 00:00:16,320 Speaker 1: half hour. If you want to call us at the 7 00:00:16,360 --> 00:00:18,680 Speaker 1: bottom of this hour, we'll take your calls eight hundred 8 00:00:18,680 --> 00:00:20,119 Speaker 1: and nine to four one Sean if you want to 9 00:00:20,120 --> 00:00:23,280 Speaker 1: give us a call, and thank you for being with us. 10 00:00:23,480 --> 00:00:28,360 Speaker 1: And wow, I don't know what else to say. This 11 00:00:28,720 --> 00:00:31,560 Speaker 1: was a mandate of all mandates. I can't believe I'm 12 00:00:31,600 --> 00:00:35,680 Speaker 1: even going to do this. But they weren't particularly happy 13 00:00:35,720 --> 00:00:41,840 Speaker 1: over at MSDNZ and the victory of Donald Trump, which 14 00:00:41,960 --> 00:00:47,440 Speaker 1: was just overwhelming. It was it was almost unprecedented. Even 15 00:00:47,680 --> 00:00:51,120 Speaker 1: Liberal Joe, our old friend, said, Trump's win is the 16 00:00:51,159 --> 00:00:54,840 Speaker 1: biggest red waves since Reagan in nineteen eighty Fords when 17 00:00:54,880 --> 00:00:59,320 Speaker 1: Reagan won, you know, forty nine states. The Democratic Party 18 00:00:59,400 --> 00:01:01,320 Speaker 1: was wiped out this morning. We don't know what the 19 00:01:01,360 --> 00:01:04,080 Speaker 1: total amount will be in terms of Senate seats, but 20 00:01:04,120 --> 00:01:06,759 Speaker 1: it's going to be probably around fifty five ish by 21 00:01:06,760 --> 00:01:11,160 Speaker 1: the time we guess one bit of good news. Originally, 22 00:01:11,280 --> 00:01:16,680 Speaker 1: the projection was that the House of Representatives might go Democratic, 23 00:01:17,240 --> 00:01:18,880 Speaker 1: and then it was like going to be a slight 24 00:01:19,360 --> 00:01:23,160 Speaker 1: of my majority, maybe two or three seats. And the 25 00:01:23,319 --> 00:01:25,920 Speaker 1: decision desk is now up that number to two hundred 26 00:01:25,920 --> 00:01:28,680 Speaker 1: and twenty three Republicans to two hundred and twelve Democrats, 27 00:01:29,240 --> 00:01:32,320 Speaker 1: which means that they have a mandate now to go forward. 28 00:01:32,640 --> 00:01:38,080 Speaker 1: And if Republicans can simply unite and you get these 29 00:01:38,240 --> 00:01:41,160 Speaker 1: these agenda items fast, we can very quickly get the 30 00:01:41,200 --> 00:01:43,760 Speaker 1: country back on track, which to me was what this 31 00:01:43,840 --> 00:01:47,440 Speaker 1: country was all about, what the country is all about. 32 00:01:47,520 --> 00:01:49,880 Speaker 1: And this was my final plea to all of you. 33 00:01:51,000 --> 00:01:53,480 Speaker 1: I've got to confess as I start the show today, 34 00:01:54,400 --> 00:01:57,200 Speaker 1: and it kind of came out last night on TV. 35 00:01:57,800 --> 00:02:01,240 Speaker 1: I was on Fox preppaar Martha Wakin leading the coverage 36 00:02:01,240 --> 00:02:04,240 Speaker 1: for Fox, and they had all of us on there 37 00:02:04,480 --> 00:02:06,520 Speaker 1: and at different times, and I was on from nine 38 00:02:06,520 --> 00:02:09,400 Speaker 1: to ten thirty or somewhere around there, maybe eleven, I 39 00:02:09,400 --> 00:02:16,480 Speaker 1: don't remember. And I had information yesterday that would contradict 40 00:02:16,760 --> 00:02:19,440 Speaker 1: what was my closing message to all of you in 41 00:02:19,480 --> 00:02:22,919 Speaker 1: this audience. I was not withholding information. I kind of 42 00:02:22,960 --> 00:02:25,800 Speaker 1: pride myself and always wanting to be honest with our audience. 43 00:02:26,919 --> 00:02:28,960 Speaker 1: I set it to Linda straight up, I don't want 44 00:02:29,000 --> 00:02:32,519 Speaker 1: to talk about polling too much in the days leading 45 00:02:32,639 --> 00:02:35,160 Speaker 1: up to the election, that I really wanted to focus 46 00:02:35,200 --> 00:02:38,200 Speaker 1: on one message, and that was that I looked at 47 00:02:38,200 --> 00:02:42,200 Speaker 1: the polls. The polls were very, very close. I got 48 00:02:42,240 --> 00:02:45,400 Speaker 1: to tip my hat to our polsters, and that would 49 00:02:45,440 --> 00:02:51,000 Speaker 1: be Robert Kahley, Trafalgar, Matt Towery, Insider Advantage, John McLaughlin 50 00:02:51,440 --> 00:02:55,520 Speaker 1: McLaughlin and associates, and this group that keeps popping up 51 00:02:55,520 --> 00:02:57,840 Speaker 1: all the time Atlas Intel, I think is what their 52 00:02:57,919 --> 00:03:00,720 Speaker 1: name is. And they've done very well the last number 53 00:03:00,720 --> 00:03:05,320 Speaker 1: of election cycles, because like six, like twenty sixteen, in 54 00:03:05,360 --> 00:03:09,000 Speaker 1: twenty twenty here in twenty twenty four, the presidential election year, 55 00:03:09,600 --> 00:03:13,560 Speaker 1: they just nailed it. And what they I mean they 56 00:03:13,560 --> 00:03:17,160 Speaker 1: were literally within you know, tens of a point on 57 00:03:17,360 --> 00:03:20,480 Speaker 1: each case of where every state would land. And it 58 00:03:20,600 --> 00:03:23,760 Speaker 1: was kind of stunning to me how accurate they were. 59 00:03:23,800 --> 00:03:27,320 Speaker 1: And I had conversations with Robert Kahley and Matt Towry 60 00:03:27,320 --> 00:03:31,120 Speaker 1: about I'm like, how do you get it right every 61 00:03:31,280 --> 00:03:34,280 Speaker 1: single presidential election year? How do you guys do it? 62 00:03:34,720 --> 00:03:36,560 Speaker 1: And we just had a long explanation about it, but 63 00:03:36,840 --> 00:03:40,360 Speaker 1: putting all of that aside, I knew yesterday, and I 64 00:03:40,400 --> 00:03:43,680 Speaker 1: didn't want to focus on it. But I knew yesterday, 65 00:03:43,920 --> 00:03:46,560 Speaker 1: and when I was on America's newsroom yesterday with Dana 66 00:03:46,600 --> 00:03:50,240 Speaker 1: Perino and Bill Himmer, I kind of gave it away, 67 00:03:50,840 --> 00:03:53,760 Speaker 1: and I gave it away a little bit yesterday, but 68 00:03:53,840 --> 00:03:56,600 Speaker 1: I didn't want to focus on it because in a way, 69 00:03:56,640 --> 00:04:01,480 Speaker 1: it contradicted my final message to all of you, and 70 00:04:01,760 --> 00:04:06,920 Speaker 1: the information was just a math issue. And it's amazing 71 00:04:07,040 --> 00:04:09,240 Speaker 1: to me that more people didn't pick up on it. 72 00:04:09,800 --> 00:04:11,720 Speaker 1: They just didn't, And I'm like, are you guys not 73 00:04:11,760 --> 00:04:16,080 Speaker 1: paying attention to early voting? And what a dramatic shift 74 00:04:16,120 --> 00:04:20,000 Speaker 1: had taken place. Now, let me step back for a 75 00:04:20,040 --> 00:04:24,120 Speaker 1: second and remind this audience that when after twenty twenty, 76 00:04:24,279 --> 00:04:28,880 Speaker 1: I started, at some point pretty early on realizing that 77 00:04:28,960 --> 00:04:32,320 Speaker 1: we can't we have to face a truth and a 78 00:04:32,360 --> 00:04:35,400 Speaker 1: reality that we don't want to face, and that was 79 00:04:35,480 --> 00:04:40,160 Speaker 1: that Republicans and Conservatives that they have a mysterious reluctance 80 00:04:40,200 --> 00:04:42,760 Speaker 1: and resistance. Those of you that listen't regularly have heard 81 00:04:42,760 --> 00:04:46,600 Speaker 1: me say those words over and over again to early 82 00:04:46,680 --> 00:04:50,280 Speaker 1: voting voting by mail, et cetera. And I understand it. 83 00:04:50,279 --> 00:04:52,920 Speaker 1: It's not the system that I would choose, although in 84 00:04:53,000 --> 00:04:56,919 Speaker 1: all fairness the state I live in now, Florida, they 85 00:04:57,480 --> 00:05:00,640 Speaker 1: handle it perfectly. It was amazing last time. How long 86 00:05:00,640 --> 00:05:03,440 Speaker 1: did it take from the time that Florida polls clothesland 87 00:05:03,440 --> 00:05:06,080 Speaker 1: that to the time we got the results. It was 88 00:05:06,120 --> 00:05:09,839 Speaker 1: like forty five minutes. Forty five minutes, it was like 89 00:05:10,000 --> 00:05:15,360 Speaker 1: lightning speed. We may not know the results out in 90 00:05:15,520 --> 00:05:19,080 Speaker 1: Arizona for ten days. I'm reading. I'm like, you've got 91 00:05:19,120 --> 00:05:21,919 Speaker 1: to be kidding me, you know, thank god. You know, 92 00:05:22,000 --> 00:05:24,640 Speaker 1: Donald Trump has been declared the winner by a long shot. 93 00:05:24,680 --> 00:05:27,520 Speaker 1: It's a landslide. He's gonna win Arizona anyway, and I 94 00:05:27,560 --> 00:05:30,480 Speaker 1: think he's gonna win Nevada. Boy, no tax on tips, 95 00:05:30,480 --> 00:05:33,440 Speaker 1: no tax on overtime. I think probably resonated really well 96 00:05:33,480 --> 00:05:38,080 Speaker 1: with those hardworking service workers that live in Vegas and 97 00:05:38,480 --> 00:05:42,160 Speaker 1: other parts Reno and other parts of Nevada. And so, 98 00:05:42,640 --> 00:05:44,880 Speaker 1: but what did the data that I had? And I 99 00:05:44,920 --> 00:05:46,800 Speaker 1: did speak about it, but I didn't want to focus 100 00:05:46,839 --> 00:05:48,800 Speaker 1: on it. So it's not like I was hiding it 101 00:05:48,839 --> 00:05:52,640 Speaker 1: from you. And the data was very very clear. Is 102 00:05:52,680 --> 00:05:55,359 Speaker 1: that in spite of this not being the system that 103 00:05:55,480 --> 00:05:59,240 Speaker 1: most Conservatives that I know want, that most Republicans I 104 00:05:59,320 --> 00:06:02,200 Speaker 1: know want, because I know what I want in terms 105 00:06:02,240 --> 00:06:05,479 Speaker 1: of elections to have the most integrity so we have 106 00:06:05,560 --> 00:06:08,599 Speaker 1: the most confidence and results. And that would be make 107 00:06:08,720 --> 00:06:11,920 Speaker 1: election day a national holiday, make it a single day, 108 00:06:12,880 --> 00:06:15,560 Speaker 1: and you would have proof of citizenship, you'd have voter ID, 109 00:06:15,720 --> 00:06:19,400 Speaker 1: you'd have signature verification, you'd have chain of custody controls, 110 00:06:20,000 --> 00:06:24,039 Speaker 1: you'd have updated voter roles for every election, probably every 111 00:06:24,080 --> 00:06:27,760 Speaker 1: six months would be ideal. Obviously, you can't have illegal 112 00:06:27,800 --> 00:06:32,400 Speaker 1: immigrants on the voter rolls. And you would have partisan observers, 113 00:06:32,400 --> 00:06:36,320 Speaker 1: meaning let's say you have a libertarian, you have a Republican, 114 00:06:36,440 --> 00:06:39,400 Speaker 1: you have a conservative candidate like you. They have a 115 00:06:39,400 --> 00:06:44,600 Speaker 1: conservative party in New York, a Democrat, and every party 116 00:06:44,680 --> 00:06:48,840 Speaker 1: gets a representative inside of every precinct that gets to 117 00:06:48,880 --> 00:06:52,760 Speaker 1: watch the voting all day long, and every precinct and 118 00:06:53,040 --> 00:06:56,719 Speaker 1: when the polls closed, the vote counting up close after 119 00:06:56,880 --> 00:06:59,919 Speaker 1: once they start the vote counting so that there's no shenanigans. 120 00:07:00,040 --> 00:07:03,520 Speaker 1: And even Kamala Harris once stated that, yeah, well Russia, 121 00:07:03,560 --> 00:07:06,800 Speaker 1: can't you know, hack a piece of paper and you know, 122 00:07:06,920 --> 00:07:09,800 Speaker 1: kind of agree with me on this. But what I 123 00:07:09,840 --> 00:07:12,960 Speaker 1: saw and what we learned is that it took a 124 00:07:13,000 --> 00:07:15,800 Speaker 1: while in the beginning when I first said that we've 125 00:07:16,120 --> 00:07:19,080 Speaker 1: got to change our mindset on this, and we've got 126 00:07:19,080 --> 00:07:22,400 Speaker 1: to overcome our resistance to this. And it's the system 127 00:07:22,440 --> 00:07:25,120 Speaker 1: we have, not the system we wish we had, and 128 00:07:25,240 --> 00:07:27,480 Speaker 1: unless we embrace it, we're going to start every election 129 00:07:27,760 --> 00:07:30,480 Speaker 1: day down hundreds of thousands of votes. And then you 130 00:07:30,600 --> 00:07:33,960 Speaker 1: run the risk, God forbid, you know you have inclement weather, 131 00:07:34,320 --> 00:07:37,640 Speaker 1: or God forbid you have a hurricane. God forbid, you know, 132 00:07:37,760 --> 00:07:40,800 Speaker 1: something happens, somebody in your family sick, You're not going 133 00:07:40,880 --> 00:07:43,320 Speaker 1: to be able to get out there and vote. Republicans 134 00:07:43,360 --> 00:07:45,480 Speaker 1: came up with this, the RNC came up with bank 135 00:07:45,520 --> 00:07:50,280 Speaker 1: your Vote, and slowly but surely people adjusted and adopted 136 00:07:50,280 --> 00:07:52,800 Speaker 1: to it. And it actually took President Trump a long 137 00:07:52,880 --> 00:07:56,560 Speaker 1: time for him to adopt it and push it himself, 138 00:07:56,600 --> 00:07:59,560 Speaker 1: but he eventually did. I think he saw the wisdom 139 00:07:59,560 --> 00:08:02,360 Speaker 1: of it. The benefit to is that once people have 140 00:08:02,400 --> 00:08:04,840 Speaker 1: banked their votes, then you can start targeting other people 141 00:08:05,440 --> 00:08:08,640 Speaker 1: because they know who votes, they're able to check the 142 00:08:08,720 --> 00:08:13,360 Speaker 1: voter rolls, and then they stop wasting time, money, energy, resources, 143 00:08:13,560 --> 00:08:16,040 Speaker 1: sending you out text or trying to get in contact 144 00:08:16,080 --> 00:08:19,680 Speaker 1: with you. And that means they can go after other 145 00:08:19,720 --> 00:08:23,640 Speaker 1: people either high perpensity, mid propensity or low propensity voters, 146 00:08:24,400 --> 00:08:29,120 Speaker 1: and it's a better allocation of all of those resources. 147 00:08:29,200 --> 00:08:33,440 Speaker 1: And anyway, so I say all of this is that 148 00:08:33,600 --> 00:08:38,400 Speaker 1: we learned something. And the early numbers after early voting, 149 00:08:39,080 --> 00:08:44,319 Speaker 1: we saw a dramatic shift, and that was that Democratic 150 00:08:44,360 --> 00:08:49,840 Speaker 1: participation in early voting was down in some cases forty 151 00:08:50,440 --> 00:08:57,200 Speaker 1: fifty sixty percent. It was dramatic. Republican increase in early 152 00:08:57,280 --> 00:09:01,559 Speaker 1: voting was massive. And I'll give you a couple of 153 00:09:01,640 --> 00:09:07,319 Speaker 1: quick examples. We knew that in Georgia that early voting 154 00:09:07,360 --> 00:09:12,760 Speaker 1: by Democrats was down about forty percent going into election 155 00:09:12,880 --> 00:09:18,640 Speaker 1: day yesterday, and Republican participation in early voting had been 156 00:09:18,679 --> 00:09:22,880 Speaker 1: significantly higher in counties that are known to be Republican, 157 00:09:23,240 --> 00:09:28,680 Speaker 1: although it's not as easily identifiable in Georgia. By the way, 158 00:09:28,720 --> 00:09:32,040 Speaker 1: tip of the hat to Governor Kemp and his team, 159 00:09:32,240 --> 00:09:37,200 Speaker 1: they were enormously helpful in this election, going all in 160 00:09:37,240 --> 00:09:39,600 Speaker 1: for President Trump. I got to thank them. There's so 161 00:09:39,640 --> 00:09:43,520 Speaker 1: many people. I can't thank everybody. And anyway, so and 162 00:09:43,520 --> 00:09:47,439 Speaker 1: I knew in Pennsylvania, for example, in twenty twenty, going 163 00:09:47,480 --> 00:09:53,600 Speaker 1: into election day that Democrats had on record had a 164 00:09:53,720 --> 00:09:59,800 Speaker 1: one point one million vote lead over Republicans, and that 165 00:09:59,880 --> 00:10:05,079 Speaker 1: is a massive, massive deficit to overcome. Going into election 166 00:10:05,200 --> 00:10:10,080 Speaker 1: day yesterday, Democrats had a lead. It was four hundred thousand. 167 00:10:10,760 --> 00:10:14,040 Speaker 1: Republicans would tend to vote day of Democrats had embraced 168 00:10:14,120 --> 00:10:18,800 Speaker 1: voting early, a massive decline. Republicans, on the other hand, 169 00:10:18,880 --> 00:10:21,440 Speaker 1: Republican counties, if you look at the map of Pennsylvania 170 00:10:21,520 --> 00:10:25,760 Speaker 1: is very red, and Republican counties had, you know, come 171 00:10:25,800 --> 00:10:30,560 Speaker 1: out in massive numbers. And I knew at that point 172 00:10:31,160 --> 00:10:36,280 Speaker 1: that they needed in Democratic strongholds, that the Alleghany County, 173 00:10:36,320 --> 00:10:40,240 Speaker 1: for example, the Philly suburbs for example, that they needed 174 00:10:40,679 --> 00:10:44,240 Speaker 1: to make up seven hundred thousand votes. And if you 175 00:10:44,360 --> 00:10:47,440 Speaker 1: listen to my interviews with Jeff Bartos yesterday, Mark Alpern 176 00:10:47,520 --> 00:10:49,440 Speaker 1: yesterday and by the way, they'll both join us today. 177 00:10:50,320 --> 00:10:53,520 Speaker 1: I kept asking what is the turnout and we discovered 178 00:10:53,520 --> 00:10:57,800 Speaker 1: we learned something that the turnout around Temple University that 179 00:10:58,160 --> 00:11:02,280 Speaker 1: has about twenty five thousand students was very high. MSDNC 180 00:11:02,520 --> 00:11:06,119 Speaker 1: was showing it all day long, creating a false impression 181 00:11:06,640 --> 00:11:10,760 Speaker 1: that the turnout in Philly was massive, and that lie 182 00:11:10,840 --> 00:11:13,960 Speaker 1: kept getting repeated by everybody in the media. Oh, Philly 183 00:11:14,040 --> 00:11:18,520 Speaker 1: turnout is massive, massive, massive, massive. It wasn't massive, it 184 00:11:18,600 --> 00:11:22,400 Speaker 1: turns out. And I got that information eventually from Jeff Bartos, 185 00:11:22,440 --> 00:11:24,200 Speaker 1: and I got it from Mark Alpern, and I'm grateful 186 00:11:24,200 --> 00:11:28,440 Speaker 1: because it helped me make I knew in my heart 187 00:11:28,520 --> 00:11:31,800 Speaker 1: they could never catch up, but it wasn't. But I 188 00:11:31,880 --> 00:11:37,000 Speaker 1: still did not want to underestimate the importance of people voting, 189 00:11:37,080 --> 00:11:39,600 Speaker 1: and I wanted everybody to believe, and I will say 190 00:11:39,600 --> 00:11:42,199 Speaker 1: this in every election going forward, that your vote will 191 00:11:42,200 --> 00:11:46,640 Speaker 1: be the deciding vote. And so it ended up that, 192 00:11:46,960 --> 00:11:49,240 Speaker 1: you know, I'm on the panel last night with my 193 00:11:49,360 --> 00:11:52,080 Speaker 1: colleagues and friends of Fox, and I'm like, guys, let 194 00:11:52,160 --> 00:11:54,800 Speaker 1: me tell you something that is just a fact at 195 00:11:54,800 --> 00:11:57,400 Speaker 1: this point. And I'm talking to the top data people 196 00:11:57,440 --> 00:12:01,000 Speaker 1: in Georgia, the top data people in North Carolin, I 197 00:12:01,040 --> 00:12:04,120 Speaker 1: am talking to the top data people in Wisconsin. Wisconsin 198 00:12:04,280 --> 00:12:09,640 Speaker 1: is another case in point. It was almost mathematically impossible, 199 00:12:09,679 --> 00:12:13,280 Speaker 1: although Democrats did pretty well day of voting yesterday in Wisconsin, 200 00:12:14,160 --> 00:12:17,600 Speaker 1: that they would catch up. And I went in and 201 00:12:17,640 --> 00:12:19,439 Speaker 1: I just said, let me tell you what I believe 202 00:12:19,480 --> 00:12:23,199 Speaker 1: the reality is, and that is that Donald Trump is 203 00:12:23,240 --> 00:12:25,880 Speaker 1: going to win Georgia, that Donald Trump is going to 204 00:12:25,920 --> 00:12:29,319 Speaker 1: win North Carolina, that Donald Trump is going to win Arizona, 205 00:12:30,160 --> 00:12:36,080 Speaker 1: that Donald Trump likely will win Nevada, and that the 206 00:12:36,160 --> 00:12:40,600 Speaker 1: only path that then existed for Kamala Harris was for 207 00:12:40,679 --> 00:12:43,440 Speaker 1: her to sweep the Blue Wall. The Blue Wall is 208 00:12:43,480 --> 00:12:48,000 Speaker 1: known as Pennsylvania, Wisconsin, and Michigan. And a lot of 209 00:12:48,000 --> 00:12:50,960 Speaker 1: people look at me like, Okay, that's a pretty bold prediction. 210 00:12:51,000 --> 00:12:53,800 Speaker 1: I said, if I'm wrong, let's have t shirts made up, 211 00:12:53,840 --> 00:12:57,079 Speaker 1: handies wrong. But I knew it based on the data. 212 00:12:57,800 --> 00:12:59,640 Speaker 1: Now I did know it. Did I want to focus 213 00:12:59,640 --> 00:13:03,000 Speaker 1: on it, oh, because I feel that that at some point, 214 00:13:03,000 --> 00:13:05,640 Speaker 1: if you think that your vote doesn't count or is 215 00:13:05,679 --> 00:13:09,720 Speaker 1: not important, I don't want people not participating. It is 216 00:13:09,880 --> 00:13:13,800 Speaker 1: critical that we take this gift. Here's the next thing 217 00:13:13,840 --> 00:13:16,640 Speaker 1: I want to say to all of you. I want 218 00:13:16,640 --> 00:13:19,720 Speaker 1: to say thank you. I want to say thank you 219 00:13:21,520 --> 00:13:25,280 Speaker 1: the stated policies of Kamala Harris and I have nothing 220 00:13:25,320 --> 00:13:28,440 Speaker 1: against her personally, and she has conceded this race. He 221 00:13:28,520 --> 00:13:30,600 Speaker 1: called Donald Trump. We expect. At the top of the 222 00:13:30,600 --> 00:13:32,959 Speaker 1: next hour, she goes speak to the country won't carry 223 00:13:33,000 --> 00:13:36,200 Speaker 1: some of it. I want to thank all of you 224 00:13:36,679 --> 00:13:41,120 Speaker 1: for taking the blessings of liberty, the blessing of this 225 00:13:41,240 --> 00:13:47,800 Speaker 1: great constitutional republic and our constitutional right to vote, and 226 00:13:47,880 --> 00:13:52,240 Speaker 1: taking the time to be educated and casting a vote 227 00:13:52,880 --> 00:13:58,520 Speaker 1: to stop what is the single most radical, extreme stated 228 00:13:58,559 --> 00:14:01,640 Speaker 1: agenda of any presidential candidate I can think of an 229 00:14:01,640 --> 00:14:08,160 Speaker 1: American history. It would have been a disaster, a predictable disaster. 230 00:14:08,960 --> 00:14:11,280 Speaker 1: I've gone over all the topics, no need to repeat 231 00:14:11,320 --> 00:14:15,520 Speaker 1: him here, and you, now, I believe, have given us 232 00:14:15,559 --> 00:14:19,760 Speaker 1: a chance to get this country back on track. And 233 00:14:19,840 --> 00:14:22,520 Speaker 1: for all of you that are afraid Rachel Maddow is 234 00:14:22,520 --> 00:14:24,400 Speaker 1: going to be taken off the air and put in jail, 235 00:14:25,040 --> 00:14:29,400 Speaker 1: or Debbie Dingle or the ladies of the View, and 236 00:14:29,560 --> 00:14:31,800 Speaker 1: I have all their crazy comments. We can go through 237 00:14:31,840 --> 00:14:35,400 Speaker 1: some of that today if you want. No, none of 238 00:14:35,440 --> 00:14:38,160 Speaker 1: that is going to happen. It was fear mongering, like 239 00:14:38,240 --> 00:14:41,080 Speaker 1: scaring old people that the social security of Medicare is 240 00:14:41,080 --> 00:14:43,160 Speaker 1: going to be taken away, that birth control was going 241 00:14:43,200 --> 00:14:46,040 Speaker 1: to be limited, IVF treatment would be stopped, a national 242 00:14:46,080 --> 00:14:50,040 Speaker 1: abortion ban project twenty twenty five. None of it's true. 243 00:14:50,640 --> 00:14:52,600 Speaker 1: But Donald Trump is going to lock up people in 244 00:14:52,600 --> 00:14:56,880 Speaker 1: political opponents. It's not true, and I promise that I 245 00:14:56,920 --> 00:14:59,880 Speaker 1: will stick up for any liberal if Donald Trump wants 246 00:14:59,920 --> 00:15:02,200 Speaker 1: to take him off the air. Bill Maher was the 247 00:15:02,200 --> 00:15:05,840 Speaker 1: only one that seemed to get it. Eight nine four one, Shawn. 248 00:15:06,800 --> 00:15:11,560 Speaker 1: I feel relief today. I feel humbled. I am grateful 249 00:15:11,800 --> 00:15:15,440 Speaker 1: for all of you for what you did yesterday, not me, 250 00:15:15,920 --> 00:15:18,440 Speaker 1: what you did, and I think our country is going 251 00:15:18,520 --> 00:15:21,120 Speaker 1: to be a lot better off. You know. No, I'm 252 00:15:21,160 --> 00:15:24,720 Speaker 1: not spiking the football. Linda will do that later. I'm 253 00:15:24,760 --> 00:15:33,800 Speaker 1: sure I will love more than this huge, historic landslide 254 00:15:33,960 --> 00:15:36,960 Speaker 1: victory of President Trump will get to the insanity of 255 00:15:37,040 --> 00:15:41,280 Speaker 1: the liberal media and people losing it on social media. 256 00:15:42,560 --> 00:15:47,360 Speaker 1: We have Kamala Harris conceding and Joe Biden inviting Trump 257 00:15:47,400 --> 00:15:48,320 Speaker 1: to the White House. 258 00:15:54,720 --> 00:15:57,280 Speaker 2: Oh ladies and gentlemen, this is your captain speaking. Welcome 259 00:15:57,320 --> 00:15:59,840 Speaker 2: on board Trump's like sixteen hundred with non stop service 260 00:15:59,880 --> 00:16:02,840 Speaker 2: to Canada. We'd like to welcome all our celebrity defectors, 261 00:16:02,880 --> 00:16:05,000 Speaker 2: and we'll get you out of America just as soon 262 00:16:05,040 --> 00:16:07,640 Speaker 2: as the tower clears. That's for takeoff. Once we reach 263 00:16:07,640 --> 00:16:10,360 Speaker 2: our cruising altitude, flight attendants will pass through the cabin, 264 00:16:10,480 --> 00:16:14,880 Speaker 2: collecting your US citizenship renouncement forms and serving complimentary beverages 265 00:16:14,920 --> 00:16:18,080 Speaker 2: and disposable crying towels. And once I reach the drop zone, 266 00:16:18,120 --> 00:16:19,960 Speaker 2: you'll be guided to the exit ramp at the rear 267 00:16:20,000 --> 00:16:21,880 Speaker 2: of the plane, or you'll take a trash course on 268 00:16:21,920 --> 00:16:25,480 Speaker 2: parachute folding and be tennison shortly thereafter. We'd like to 269 00:16:25,520 --> 00:16:27,760 Speaker 2: thank you for choosing Trump Airlines and hoop you have 270 00:16:27,760 --> 00:16:28,560 Speaker 2: a soft landing. 271 00:16:29,160 --> 00:16:37,760 Speaker 1: Good Bye. Remember all the liberals twenty sixteen, Remember all 272 00:16:37,800 --> 00:16:40,960 Speaker 1: of them, or we're going to leave the country. Well, 273 00:16:41,000 --> 00:16:44,240 Speaker 1: I offered at the time, I said I would. I 274 00:16:44,280 --> 00:16:48,960 Speaker 1: would pay for a one way private jet trip or 275 00:16:49,040 --> 00:16:52,000 Speaker 1: any for any group of liberals that want to leave, 276 00:16:52,120 --> 00:16:56,560 Speaker 1: with one stipulation. If you make that choice, you can't 277 00:16:56,600 --> 00:17:00,160 Speaker 1: come back ever. If not, you have to pay me 278 00:17:00,240 --> 00:17:03,120 Speaker 1: back ten times the amount of money. I think that's 279 00:17:03,160 --> 00:17:06,800 Speaker 1: a fair offer, anyway, eight hundred and nine foot one 280 00:17:06,880 --> 00:17:10,240 Speaker 1: sean if you, oh, I do have the twenty twenty 281 00:17:10,240 --> 00:17:13,320 Speaker 1: four with the people that said they would lose the country. 282 00:17:13,560 --> 00:17:15,320 Speaker 1: These are the people that said they leave this year 283 00:17:15,400 --> 00:17:20,920 Speaker 1: or is this from twenty sixteen? Okay, let's see Alec Baldwin, 284 00:17:21,000 --> 00:17:26,960 Speaker 1: WHOOPI Goldberg, John Legend Chrissy Tigan, Rob Reiner, Barber streisand Cher, 285 00:17:27,480 --> 00:17:31,600 Speaker 1: Nancy Pelosi, Hillary Clinton, Megan rap what is her name 286 00:17:31,880 --> 00:17:36,000 Speaker 1: for Pino the soccer player or Pino Tom Hanks, Amy 287 00:17:36,040 --> 00:17:39,680 Speaker 1: Schumer aoc. All right, and that's not even all of them. 288 00:17:39,800 --> 00:17:42,240 Speaker 1: You know, we can do multiple trips. It's fine, do 289 00:17:42,359 --> 00:17:45,320 Speaker 1: multiple trips, or get a bigger plane. Maybe I'll have 290 00:17:45,320 --> 00:17:48,840 Speaker 1: to you know, this is gonna say rent the Boeing. 291 00:17:49,280 --> 00:17:50,560 Speaker 1: I don't know if I want to rent them. 292 00:17:50,600 --> 00:17:52,679 Speaker 3: Listen, they just want to be one of the regular people. 293 00:17:52,720 --> 00:17:54,399 Speaker 1: So you know it's going to be coach. We can 294 00:17:54,440 --> 00:17:55,320 Speaker 1: fit more on there. 295 00:17:55,359 --> 00:17:58,199 Speaker 2: They'll be nice and cozy all together with their like 296 00:17:58,280 --> 00:18:00,600 Speaker 2: minded you know, woke ideology. Be good. 297 00:18:00,720 --> 00:18:03,760 Speaker 1: Is Linda's spiking the football even I'm sorry what it is? 298 00:18:05,359 --> 00:18:07,760 Speaker 1: We expect Kamala Harris will be speaking in the next 299 00:18:07,760 --> 00:18:13,040 Speaker 1: twenty four minutes. We'll cover that live. And anyway, I 300 00:18:13,040 --> 00:18:14,680 Speaker 1: didn't hear what you said. What he's saying in my ear, 301 00:18:14,800 --> 00:18:17,959 Speaker 1: you're talking to me. Yeah, we'll get to that, and 302 00:18:18,000 --> 00:18:22,320 Speaker 1: when she does, we will be covering that. Looks and 303 00:18:22,440 --> 00:18:24,720 Speaker 1: we still have the Harris Biden economy, and we'll have 304 00:18:24,800 --> 00:18:27,720 Speaker 1: it for the next you know, until the next fiscal 305 00:18:27,800 --> 00:18:30,520 Speaker 1: year begins in October, although hopefully maybe we can do 306 00:18:30,560 --> 00:18:34,159 Speaker 1: something before then. But if you want to save money, 307 00:18:34,320 --> 00:18:36,960 Speaker 1: one way to save money and not sacrifice service to 308 00:18:37,040 --> 00:18:39,480 Speaker 1: switch to my cell phone company. And that's Pure Talk. 309 00:18:39,800 --> 00:18:43,760 Speaker 1: It's a veteran run company. H and anyway, they support 310 00:18:43,840 --> 00:18:47,959 Speaker 1: veterans in so many different ways. They've alleviated ten million 311 00:18:48,000 --> 00:18:51,080 Speaker 1: dollars in veterans debt. They donated fifty grand to the 312 00:18:51,160 --> 00:18:56,040 Speaker 1: Micro Works, a great, great charity providing scholarships to veterans 313 00:18:56,080 --> 00:19:00,600 Speaker 1: learning trades after active duty. Now out of company, you 314 00:19:00,640 --> 00:19:03,040 Speaker 1: want to get behind. You get the same cell towers, 315 00:19:03,040 --> 00:19:06,600 Speaker 1: same five G network, same service. You pay about half 316 00:19:06,680 --> 00:19:09,160 Speaker 1: The average family saves close to one thousand dollars if 317 00:19:09,200 --> 00:19:11,680 Speaker 1: not more a year, and you get everything at half 318 00:19:11,680 --> 00:19:14,399 Speaker 1: the cost. Make the switch, and you're helping our vets 319 00:19:14,600 --> 00:19:16,720 Speaker 1: at the same time. Dial pound two to fifty, say 320 00:19:16,760 --> 00:19:19,320 Speaker 1: the keyword saved now. Do it now. You save an 321 00:19:19,359 --> 00:19:22,840 Speaker 1: additional fifty percent off your first month, and they invest 322 00:19:22,880 --> 00:19:26,280 Speaker 1: in jobs to better serve you Pound two fifty keywords 323 00:19:26,280 --> 00:19:32,280 Speaker 1: saved now from our friends at Pure Talk, America's wireless company. Anyway. 324 00:19:32,359 --> 00:19:35,480 Speaker 1: So Kamala Harris I don't know what happened last It 325 00:19:35,520 --> 00:19:40,439 Speaker 1: was very bizarre because they just kind of skipped out on, 326 00:19:41,400 --> 00:19:46,280 Speaker 1: you know, speaking last night, and I'm not really sure 327 00:19:46,480 --> 00:19:49,560 Speaker 1: what that was all about. She was supposed to I 328 00:19:49,640 --> 00:19:52,040 Speaker 1: forgot what college. I was Howard University where she was 329 00:19:52,040 --> 00:19:53,760 Speaker 1: supposed to have it. So she's going to have this 330 00:19:53,760 --> 00:19:58,399 Speaker 1: this afternoon. But she is already She already called Donald Trump, 331 00:19:58,480 --> 00:20:03,200 Speaker 1: according to an AP at about one fifty eastern today, 332 00:20:03,240 --> 00:20:08,639 Speaker 1: about almost two hours ago, and congratulated him, and the 333 00:20:08,680 --> 00:20:11,640 Speaker 1: AD said they discussed the importance importance of a peaceful 334 00:20:11,680 --> 00:20:16,560 Speaker 1: transfer of power. Now the blame game has begun. And 335 00:20:16,760 --> 00:20:19,280 Speaker 1: never mind that without Joe Biden, Kamala Harris would never 336 00:20:19,280 --> 00:20:23,000 Speaker 1: have gotten anywhere near the White House. A senior Harris 337 00:20:23,040 --> 00:20:28,040 Speaker 1: campaign officials blaming Joe for Kamala's disaster. Last night, Democrats 338 00:20:28,040 --> 00:20:31,320 Speaker 1: picked through the records of this you know, landslide victory 339 00:20:31,320 --> 00:20:34,760 Speaker 1: of Donald Trump and unnamed senior Harris campaign official telling 340 00:20:34,800 --> 00:20:38,040 Speaker 1: Fake New CNN that Biden holds a lot of the 341 00:20:38,080 --> 00:20:42,720 Speaker 1: blame for her loss. And anyway, you know, one thing 342 00:20:42,800 --> 00:20:45,800 Speaker 1: we clearly already starting to see take place as finger 343 00:20:45,880 --> 00:20:47,600 Speaker 1: pointing in the blame game, and a lot of it 344 00:20:47,680 --> 00:20:50,399 Speaker 1: is directed at President Biden. One senior official that I 345 00:20:50,520 --> 00:20:53,119 Speaker 1: talked to, you know, said that Biden will hold a 346 00:20:53,119 --> 00:20:55,840 Speaker 1: lot of the blame, and frankly, they said he should. 347 00:20:55,880 --> 00:20:58,320 Speaker 1: I thought he was the hero. Oh, he's going to 348 00:20:58,359 --> 00:21:00,360 Speaker 1: go down in history as one of the greatest ever. 349 00:21:01,080 --> 00:21:03,639 Speaker 1: What about the people that were responsible for the coup, 350 00:21:04,800 --> 00:21:07,480 Speaker 1: you know, the Kamala last night? Is this really Joe 351 00:21:07,480 --> 00:21:11,160 Speaker 1: Biden's fault? You know, appears to you know, have done 352 00:21:11,240 --> 00:21:14,119 Speaker 1: so poorly in Illinois and New York City. In New 353 00:21:14,200 --> 00:21:17,320 Speaker 1: York City, she won sixty seven point eight percent of 354 00:21:17,320 --> 00:21:20,399 Speaker 1: the vote, may sound like a you know, big number, 355 00:21:20,440 --> 00:21:23,600 Speaker 1: but not for New York when Joe Biden won, you 356 00:21:23,640 --> 00:21:27,919 Speaker 1: know fully you know, ten points more and twenty twenty 357 00:21:28,000 --> 00:21:33,320 Speaker 1: and Hillary Clinton seventy nine percent, twelve points more. So 358 00:21:33,440 --> 00:21:35,560 Speaker 1: I'm not sure why they're blaming Biden for this. They're 359 00:21:35,560 --> 00:21:37,800 Speaker 1: the ones that pushed him out, and I'm sure that 360 00:21:37,880 --> 00:21:40,760 Speaker 1: Kamala was a part of it. I'm and they can 361 00:21:40,760 --> 00:21:42,720 Speaker 1: blame them all. I guess they can blame him for 362 00:21:42,760 --> 00:21:47,439 Speaker 1: the garbage comment. But anyway, President Biden did call to 363 00:21:47,480 --> 00:21:51,000 Speaker 1: congratulate Donald Trump and invited him to the White House, 364 00:21:51,760 --> 00:21:55,679 Speaker 1: and he is committed to ensuring a smooth transition, emphasized 365 00:21:55,720 --> 00:21:59,240 Speaker 1: the importance of working to bring the country together. Biden 366 00:21:59,320 --> 00:22:01,520 Speaker 1: is also spoke with Harris. Why do I think in 367 00:22:01,560 --> 00:22:03,920 Speaker 1: my mind and heart, I have no evidence to back 368 00:22:04,000 --> 00:22:07,720 Speaker 1: this up at all that Joe Biden, you know, deep 369 00:22:07,800 --> 00:22:11,000 Speaker 1: down inside, never thought that Kamala could win, knew she'd 370 00:22:11,040 --> 00:22:14,200 Speaker 1: be a bad candidate and didn't want to get out anyway. 371 00:22:14,640 --> 00:22:18,200 Speaker 1: There's a lot of flurry on social media when the 372 00:22:18,280 --> 00:22:22,280 Speaker 1: first Lady, Joe Biden wore a GOP red colored pantsuit 373 00:22:22,359 --> 00:22:25,760 Speaker 1: to cast her ballot. Was she sending a message? If 374 00:22:25,800 --> 00:22:27,960 Speaker 1: you look on social media, Joe Biden is wearing the 375 00:22:28,000 --> 00:22:31,399 Speaker 1: gop shade of red to cast her vote. Joe Biden 376 00:22:31,520 --> 00:22:35,200 Speaker 1: is skipping the Kamala Harris watch party. Do the math. 377 00:22:35,600 --> 00:22:39,040 Speaker 1: According to some people posting on social media, Joe Biden 378 00:22:39,160 --> 00:22:42,720 Speaker 1: is wearing Maga red to go vote today. She wore 379 00:22:42,760 --> 00:22:46,200 Speaker 1: all red as the wife of a Democratic politician. There's 380 00:22:46,280 --> 00:22:51,160 Speaker 1: no way she doesn't know how this looks. That sounds ridiculous. 381 00:22:51,720 --> 00:22:55,399 Speaker 1: Then you have the Harris campaign manager, Jen O'Malley Dylan 382 00:22:56,160 --> 00:22:59,399 Speaker 1: sending a letter to campaign staff, and you know, a 383 00:22:59,440 --> 00:23:02,520 Speaker 1: few moments ago, the Vice President connected with President Trump 384 00:23:02,600 --> 00:23:05,240 Speaker 1: to concede the race. She told him she would work 385 00:23:05,280 --> 00:23:08,240 Speaker 1: with President Biden to ensure the peaceful transfer of power 386 00:23:08,359 --> 00:23:10,840 Speaker 1: unlike what we saw in twenty twenty. And it goes 387 00:23:10,880 --> 00:23:14,000 Speaker 1: on from there, and then it ends with but the 388 00:23:14,040 --> 00:23:17,040 Speaker 1: work of protecting America from the impacts of the Trump 389 00:23:17,080 --> 00:23:21,480 Speaker 1: presidency starts now. Okay, the one person that was gracious 390 00:23:21,520 --> 00:23:24,560 Speaker 1: was actually Mark Cuban. There were a couple of people 391 00:23:25,240 --> 00:23:29,119 Speaker 1: and he said, congratulations, Donald Trump, you won fair and square. 392 00:23:29,800 --> 00:23:34,080 Speaker 1: And he didn't exactly help. None of these surrogates helped 393 00:23:34,119 --> 00:23:38,320 Speaker 1: at all. I wonder how that Jackass, George Clooney's feeling today. 394 00:23:39,320 --> 00:23:43,240 Speaker 1: Barack Obama, Nancy Pelosi, Chuck Schumer, are they going to 395 00:23:43,280 --> 00:23:47,200 Speaker 1: take the blame for what I believe they're responsible for 396 00:23:47,440 --> 00:23:49,600 Speaker 1: pushing Joe Biden out of the way and denying the 397 00:23:49,600 --> 00:23:54,199 Speaker 1: whole time he was president that he had a cognitive decline. Anyway, 398 00:23:54,200 --> 00:23:57,680 Speaker 1: he said, you won fair and square. He said congrats 399 00:23:57,680 --> 00:24:02,160 Speaker 1: to Elon Musk as well. Godspeed. Fair enough. We've had 400 00:24:02,200 --> 00:24:06,560 Speaker 1: many shows day after election or it sucks, it's not fun, 401 00:24:06,840 --> 00:24:11,359 Speaker 1: I get it, you know. In so many ways, Jeff 402 00:24:11,400 --> 00:24:17,000 Speaker 1: Bezos actually congratulated President elect Donald Trump. He said, a 403 00:24:17,040 --> 00:24:21,000 Speaker 1: big congratulations on X to an extraordinary political comeback and 404 00:24:21,040 --> 00:24:25,320 Speaker 1: decisive victory. No nation has bigger opportunities. Wishing Trump all 405 00:24:25,359 --> 00:24:28,480 Speaker 1: success in leading and uniting the America. We all love 406 00:24:29,520 --> 00:24:35,200 Speaker 1: kind of gracious on his part. The biggest loser. And 407 00:24:35,280 --> 00:24:39,320 Speaker 1: I said this last night, legacy media, And I said, 408 00:24:39,359 --> 00:24:41,880 Speaker 1: journalism is dead in two thousand and seven and eight. 409 00:24:43,080 --> 00:24:48,240 Speaker 1: All these conglomerates, all these big newspapers, New York Times, 410 00:24:48,359 --> 00:24:53,960 Speaker 1: Washington Post, you name them, all of them, ABC, NBCCBS 411 00:24:54,359 --> 00:24:58,159 Speaker 1: all of them. You know, all these fake news you 412 00:24:58,200 --> 00:25:04,560 Speaker 1: know channels together combined. They threw everything they had at 413 00:25:04,600 --> 00:25:08,800 Speaker 1: this man to destroy him. I mean, they sued him. 414 00:25:10,720 --> 00:25:14,200 Speaker 1: Some people shot at him, that's separate apart. They put 415 00:25:14,280 --> 00:25:19,240 Speaker 1: him on trial trial, they'd written him off. They called 416 00:25:19,320 --> 00:25:23,439 Speaker 1: him every name in the book, Nazi, fascist, racist, you 417 00:25:23,600 --> 00:25:29,120 Speaker 1: name it, garbage, his supporter's garbage. And Donald Trump has 418 00:25:29,160 --> 00:25:32,960 Speaker 1: defied every one of those critics, and he's still not 419 00:25:33,080 --> 00:25:38,600 Speaker 1: only standing, he's standing triumphantly. I mean, it really is 420 00:25:38,680 --> 00:25:42,920 Speaker 1: an incredible thing. And what it shows me is that 421 00:25:43,480 --> 00:25:47,800 Speaker 1: Americans now are selective and where they get their information from, 422 00:25:47,840 --> 00:25:50,120 Speaker 1: and that I think is they're never going to get 423 00:25:50,160 --> 00:25:54,359 Speaker 1: that trust back, and they don't deserve it. By the way, 424 00:25:54,440 --> 00:25:58,280 Speaker 1: Liz Cheney endorsed candidates lose their House races, including a 425 00:25:58,320 --> 00:26:02,520 Speaker 1: three term Pennsylvania income not a shock there. But look 426 00:26:02,520 --> 00:26:05,800 Speaker 1: at the support from African Americans and Hispanic Americans that 427 00:26:05,880 --> 00:26:09,840 Speaker 1: help push Trump to victory. You know, Donald Trump won 428 00:26:10,000 --> 00:26:13,879 Speaker 1: Hispanic American men fifty four to forty four. But the 429 00:26:14,240 --> 00:26:16,920 Speaker 1: Republicans have become the party of working men and women. 430 00:26:17,880 --> 00:26:20,919 Speaker 1: You know, while the Democratic Party reaches out to Julia 431 00:26:21,040 --> 00:26:24,080 Speaker 1: Roberts doing ads to light it for women to light 432 00:26:24,160 --> 00:26:27,280 Speaker 1: to their husbands, and George Clooney saying, yeah, you can 433 00:26:27,320 --> 00:26:30,119 Speaker 1: secretly not tell your friends you like Donald Trump. If 434 00:26:30,119 --> 00:26:33,600 Speaker 1: you have to tell people, lie to people about who 435 00:26:33,600 --> 00:26:36,119 Speaker 1: you're voting for because it's too embarrassing, maybe that's not 436 00:26:36,160 --> 00:26:39,800 Speaker 1: the person to vote for. One bit of good news 437 00:26:39,840 --> 00:26:43,119 Speaker 1: out of this election, the Justice Department is now evaluating 438 00:26:43,160 --> 00:26:46,399 Speaker 1: how to wind down the federal criminal cases against Donald 439 00:26:46,440 --> 00:26:49,719 Speaker 1: Trump before he takes office to comply with long standing 440 00:26:49,760 --> 00:26:54,400 Speaker 1: Department policy that a sitting president cannot be prosecuted. According 441 00:26:54,440 --> 00:26:58,280 Speaker 1: to NBC News, sources say the DOJ have come to 442 00:26:58,320 --> 00:27:01,359 Speaker 1: grips with the fact that no trial has possible anytime soon. 443 00:27:01,400 --> 00:27:05,320 Speaker 1: In either of the cases. They have done everything to 444 00:27:05,400 --> 00:27:09,200 Speaker 1: destroy this man. While Donald Trump is vowing to lead 445 00:27:09,640 --> 00:27:13,040 Speaker 1: a golden age of America in his victory speech and 446 00:27:13,119 --> 00:27:16,800 Speaker 1: fix everything. You know this this has to be one 447 00:27:16,840 --> 00:27:20,840 Speaker 1: of the greatest political comebacks in history that we've ever seen. 448 00:27:21,880 --> 00:27:24,119 Speaker 1: And all of you, I go back to my original comments, 449 00:27:24,160 --> 00:27:28,639 Speaker 1: and I'm not spiking the football. I honestly feel grateful 450 00:27:29,520 --> 00:27:34,440 Speaker 1: and humbled because I just I see this agenda of 451 00:27:34,600 --> 00:27:39,680 Speaker 1: mandatory gun buybacks and gender affirming care without parental rights 452 00:27:39,680 --> 00:27:44,280 Speaker 1: for minors, and you know, no restrictions on late term 453 00:27:44,320 --> 00:27:48,639 Speaker 1: abortion at all, wide open borders, the biggest national security 454 00:27:48,680 --> 00:27:52,760 Speaker 1: threat in history, and pre sex change operations and defund 455 00:27:52,760 --> 00:27:56,960 Speaker 1: dismantled nobail laws and an economic policy led by the 456 00:27:57,000 --> 00:27:59,800 Speaker 1: Green New Deal and the elimination of private health insurance 457 00:27:59,840 --> 00:28:05,240 Speaker 1: is disaster. New York Times full blown meltdown mode over 458 00:28:05,320 --> 00:28:11,119 Speaker 1: Trump's victory. They can't be magnanimous, not even for a 459 00:28:11,160 --> 00:28:14,800 Speaker 1: single day. They're blaming the American people. America makes a 460 00:28:14,920 --> 00:28:18,800 Speaker 1: perilous choice. American voters have made the choice to return 461 00:28:18,840 --> 00:28:21,359 Speaker 1: Donald Trump to the White House, setting the nation on 462 00:28:21,400 --> 00:28:25,840 Speaker 1: a precarious course that no one can fully foresee. They 463 00:28:25,880 --> 00:28:31,119 Speaker 1: just can't get beyond themselves, you know, and it just 464 00:28:31,240 --> 00:28:34,080 Speaker 1: is what it is, you know, in the face of 465 00:28:34,160 --> 00:28:35,119 Speaker 1: this reality. 466 00:28:35,960 --> 00:28:36,159 Speaker 2: You know. 467 00:28:36,320 --> 00:28:40,800 Speaker 1: Over at MSDNC conspiracy theorists suggesting Donald Trump would make 468 00:28:41,160 --> 00:28:46,520 Speaker 1: a national abortion banned by Executive Vord Rachel he said, 469 00:28:46,560 --> 00:28:48,239 Speaker 1: over and over again, He's not going to do it. 470 00:28:48,920 --> 00:28:52,320 Speaker 1: Alex Wagner grappling with the reality that the mag of 471 00:28:52,400 --> 00:28:56,520 Speaker 1: movement is real with legs. Gail King fretting over Trump's 472 00:28:56,560 --> 00:28:59,600 Speaker 1: unchecked commands, saying it seems like he will be in 473 00:28:59,680 --> 00:29:04,400 Speaker 1: power with no guard rails. Joy Reid. Nobody wants Donald 474 00:29:04,400 --> 00:29:08,360 Speaker 1: Trump to be president more than bb NET and Yahoo. 475 00:29:08,360 --> 00:29:11,120 Speaker 1: What does that have to do with anything? Our old 476 00:29:11,160 --> 00:29:14,240 Speaker 1: friend Nicole Wallace asking what kind of information young men 477 00:29:14,280 --> 00:29:18,160 Speaker 1: were looking at who assumed the economy would improve under Trump. 478 00:29:18,800 --> 00:29:23,280 Speaker 1: Maybe his past policies the ones that worked. Jake Tapper 479 00:29:23,440 --> 00:29:27,840 Speaker 1: was completely stunned in his reaction to all of this. 480 00:29:27,920 --> 00:29:30,560 Speaker 1: He asked their chief John King to pull up a 481 00:29:30,600 --> 00:29:34,600 Speaker 1: graphic showing which states that Harris got at least three 482 00:29:34,640 --> 00:29:37,200 Speaker 1: percent more votes than Biden had in the last election, 483 00:29:37,720 --> 00:29:40,920 Speaker 1: to be presented with a gray map reflecting her failure 484 00:29:41,120 --> 00:29:42,000 Speaker 1: even in that. 485 00:29:42,360 --> 00:29:44,080 Speaker 3: So you asked, are there any place that said the 486 00:29:44,120 --> 00:29:47,080 Speaker 3: vice president is overperforming Joe Biden twenty twenty, So we 487 00:29:47,120 --> 00:29:48,640 Speaker 3: can show you that as well. We just bring that 488 00:29:48,680 --> 00:29:51,000 Speaker 3: out here, Harris overperforming twenty twenty. 489 00:29:51,120 --> 00:29:52,360 Speaker 1: Holy smokes, there you go. 490 00:29:52,800 --> 00:29:54,479 Speaker 3: So let this go away and see if there's anything 491 00:29:54,720 --> 00:29:58,800 Speaker 3: in the East side. There literally nothing, literally nothing literally 492 00:29:58,840 --> 00:30:02,600 Speaker 3: not one county three percent or more at least in 493 00:30:02,640 --> 00:30:04,320 Speaker 3: the county right now. And so you come in the 494 00:30:04,360 --> 00:30:06,320 Speaker 3: full you come in full county there. So there you 495 00:30:06,320 --> 00:30:08,760 Speaker 3: see by that states, Yeah, so in counties in fifty 496 00:30:08,760 --> 00:30:09,360 Speaker 3: eight counties. 497 00:30:11,480 --> 00:30:16,400 Speaker 1: You know, Bette Midler's Mindler suggesting drinking drino if Donald 498 00:30:16,480 --> 00:30:22,400 Speaker 1: Trump wins? What's wrong with these people? Oh? Man, I 499 00:30:22,440 --> 00:30:24,160 Speaker 1: didn't see this, but a lot of people wrote me. 500 00:30:24,160 --> 00:30:27,760 Speaker 1: Apparently there was some exchange between Rove and Juan Williams 501 00:30:27,760 --> 00:30:31,440 Speaker 1: saying racism and sexism propelled Trump to victory. A lot 502 00:30:31,520 --> 00:30:33,920 Speaker 1: of people have said this on the left. It's just 503 00:30:34,280 --> 00:30:39,680 Speaker 1: I don't know, it's poor. Van Jones was nearly crying. 504 00:30:43,040 --> 00:30:46,480 Speaker 1: David Axelrod, Let's be absolutely blunt. There is racial bias 505 00:30:46,520 --> 00:30:49,640 Speaker 1: in this country. There's sexism. That became the talking point. 506 00:30:50,000 --> 00:30:52,720 Speaker 1: By the way, that was all started by Barack Obama. 507 00:30:53,680 --> 00:30:56,280 Speaker 1: You know, he's trying to get African to quote the Brothers, 508 00:30:56,360 --> 00:30:58,960 Speaker 1: and you know they they may not want a woman 509 00:30:59,000 --> 00:31:02,239 Speaker 1: president of Stacey Abrams that there's racism and sexism. They 510 00:31:02,280 --> 00:31:06,320 Speaker 1: keep just repeating it. Maybe it's their policies. Why was 511 00:31:06,440 --> 00:31:10,280 Speaker 1: Van Jones on the verge of tears? You know, remember 512 00:31:10,280 --> 00:31:14,160 Speaker 1: he's the one that famously said this is a blacklash 513 00:31:14,280 --> 00:31:18,760 Speaker 1: or something to that effect. It's not going to stop, 514 00:31:19,560 --> 00:31:22,440 Speaker 1: it's going to continue. But the work is going to 515 00:31:22,480 --> 00:31:25,720 Speaker 1: get done. And the fact that you voted down ticket 516 00:31:26,280 --> 00:31:30,240 Speaker 1: is enormously helpful. Now we'll get to calls when we 517 00:31:30,280 --> 00:31:33,840 Speaker 1: come back. We're waiting. We expect Kamala Harris will speak 518 00:31:33,960 --> 00:31:38,160 Speaker 1: at Howard University. She just decided to cancel last night 519 00:31:38,520 --> 00:31:40,400 Speaker 1: because it was too painful for her to come out. 520 00:31:41,440 --> 00:31:43,480 Speaker 1: Eight hundred and nine four one Shawn is a number 521 00:31:43,520 --> 00:31:45,360 Speaker 1: if you want to be a part of the program.