1 00:00:02,680 --> 00:00:06,000 Speaker 1: Welcome Back to the Truth with Lisa Booth. I'm Lisa Booth. 2 00:00:06,320 --> 00:00:09,680 Speaker 1: Today we've got my friend and colleague from Fox Jokaja. 3 00:00:09,760 --> 00:00:13,640 Speaker 1: He's also the author of the Greatest Comeback Ever, Inside 4 00:00:13,680 --> 00:00:16,919 Speaker 1: Trump's Big, Beautiful Campaign. In this episode, we're going to 5 00:00:16,960 --> 00:00:20,439 Speaker 1: unpack the stunning victory of President Trump and his historic 6 00:00:20,520 --> 00:00:25,400 Speaker 1: political resurrection, dissecting the strategies and the moments that fueled 7 00:00:25,520 --> 00:00:28,480 Speaker 1: the greatest comeback and modern politics. 8 00:00:28,800 --> 00:00:30,720 Speaker 2: We're also going to ask Joe to. 9 00:00:30,720 --> 00:00:33,360 Speaker 1: Use his time inside the Trump campaign to give us 10 00:00:33,360 --> 00:00:37,120 Speaker 1: some insight into President Trump's first one hundred days. How 11 00:00:37,120 --> 00:00:39,600 Speaker 1: does he think they're going? Also, why have his approval 12 00:00:39,680 --> 00:00:42,600 Speaker 1: numbers dipped a little bit? Does that mean anything? Should 13 00:00:42,600 --> 00:00:45,479 Speaker 1: we be concerned? Also, I'm going to talk to Joe 14 00:00:45,600 --> 00:00:50,199 Speaker 1: about the assassination attempts against President Trump. What did he 15 00:00:50,360 --> 00:00:53,360 Speaker 1: learn about them from the president, what did he learn 16 00:00:53,360 --> 00:00:57,080 Speaker 1: about them from covering the campaign? And more importantly, why 17 00:00:57,120 --> 00:00:59,480 Speaker 1: does he think President Trump was able to make the 18 00:00:59,480 --> 00:01:03,320 Speaker 1: greatest I'm back in history. We've got Joe Concha sharing 19 00:01:03,360 --> 00:01:06,039 Speaker 1: his biggest takeaway from his book and revealing what it 20 00:01:06,120 --> 00:01:10,080 Speaker 1: means for America's future. Don't miss this interview with my 21 00:01:10,160 --> 00:01:14,480 Speaker 1: friend Joe Concha about his very interesting book, very timely book, 22 00:01:15,120 --> 00:01:18,920 Speaker 1: The Greatest Comeback Ever Inside Trump's Big Beautiful Campaign. Stay 23 00:01:18,920 --> 00:01:26,800 Speaker 1: tuned well, Joe Concha's great to have you on the show. 24 00:01:26,880 --> 00:01:28,840 Speaker 1: Also just for the audience at home. Joe was a 25 00:01:28,959 --> 00:01:31,160 Speaker 1: very gracious man. I thought we had this interview booked 26 00:01:31,240 --> 00:01:34,920 Speaker 1: yesterday and I just didn't finish the process of booking it. 27 00:01:35,520 --> 00:01:37,880 Speaker 1: And so, Joe, were you wondering? I was like texting 28 00:01:37,880 --> 00:01:38,840 Speaker 1: you yesterday where You're like. 29 00:01:38,880 --> 00:01:40,000 Speaker 2: What is she talking about? 30 00:01:40,560 --> 00:01:45,000 Speaker 1: Because I'm texting you about like the interview, You're probably like, 31 00:01:45,040 --> 00:01:47,600 Speaker 1: what are you talking about? It wasn't on your schedule. 32 00:01:48,000 --> 00:01:51,280 Speaker 3: Yeah, I thought we had something schedule. But yeah, it 33 00:01:51,320 --> 00:01:52,880 Speaker 3: was a little confusing. But we're here now, and that's 34 00:01:52,880 --> 00:01:53,560 Speaker 3: the important thing. 35 00:01:54,160 --> 00:01:57,480 Speaker 1: I appreciate you being gracious about it. You're a good man, 36 00:01:58,600 --> 00:02:00,480 Speaker 1: all right. Well, so I wanted to start out. So 37 00:02:00,560 --> 00:02:03,000 Speaker 1: your book is out, it's called The Greatest Comeback Ever, 38 00:02:03,120 --> 00:02:06,240 Speaker 1: Inside Trump's Big Beautiful Campaign. I wanted to ask you 39 00:02:06,600 --> 00:02:09,160 Speaker 1: what would you have done if you had lost? Because 40 00:02:09,200 --> 00:02:11,919 Speaker 1: the little premise of this book was that Yado went 41 00:02:12,240 --> 00:02:13,720 Speaker 1: this is going to be the biggest, So what would 42 00:02:13,760 --> 00:02:14,720 Speaker 1: you have done if you lost? 43 00:02:15,000 --> 00:02:15,960 Speaker 4: That's a great question. 44 00:02:16,680 --> 00:02:18,760 Speaker 3: I'd say, well, there's six months of my life I 45 00:02:18,760 --> 00:02:21,520 Speaker 3: don't get back, because I've been sending notes to myself 46 00:02:21,560 --> 00:02:24,680 Speaker 3: throughout the entire campaign, whether I was in the motorcade, 47 00:02:24,760 --> 00:02:26,960 Speaker 3: when I went to one Trump rally, on the Trump plane, 48 00:02:27,280 --> 00:02:31,639 Speaker 3: backstage at the RNC, backstage at several Trump rallies, all 49 00:02:31,720 --> 00:02:33,960 Speaker 3: that and everything I'd written to that point would just 50 00:02:34,040 --> 00:02:35,919 Speaker 3: go by bye, because I don't think anybody wants to 51 00:02:35,960 --> 00:02:39,640 Speaker 3: read a book about Kamala Harris and the Coconut Queen's 52 00:02:39,720 --> 00:02:42,239 Speaker 3: rise to glory. Like I just can't see particularly a 53 00:02:42,280 --> 00:02:44,880 Speaker 3: Fox audience at least with podcast audience going for that. 54 00:02:45,040 --> 00:02:47,200 Speaker 3: So I would have just moved on to Plan B, 55 00:02:47,320 --> 00:02:50,040 Speaker 3: I guess, which is to write a book about parenting 56 00:02:50,400 --> 00:02:53,640 Speaker 3: in the twenty twenty five era in sports and how 57 00:02:53,639 --> 00:02:54,560 Speaker 3: insane all the parents are. 58 00:02:54,639 --> 00:02:55,920 Speaker 4: That would have been a fun book to write. 59 00:02:56,240 --> 00:02:58,040 Speaker 1: There would have been a fun book. Well, you could 60 00:02:58,040 --> 00:02:59,840 Speaker 1: still write it because people are still insane. 61 00:03:00,560 --> 00:03:00,800 Speaker 4: You know. 62 00:03:01,200 --> 00:03:03,160 Speaker 1: We just found out that there's more people with common 63 00:03:03,200 --> 00:03:05,680 Speaker 1: sense than not, which was you know, a good, uh, 64 00:03:06,400 --> 00:03:08,480 Speaker 1: a good thing to find out after this past election. 65 00:03:08,600 --> 00:03:10,680 Speaker 2: But there's still crazy people out there, as we've seen. 66 00:03:11,520 --> 00:03:14,800 Speaker 1: But you. You obviously made a bet that he would 67 00:03:14,840 --> 00:03:18,480 Speaker 1: win the election, and you made this bet when you know, 68 00:03:18,639 --> 00:03:20,360 Speaker 1: a lot of people were saying that he wasn't going 69 00:03:20,400 --> 00:03:22,040 Speaker 1: to pull it off, even with some of the polling 70 00:03:22,080 --> 00:03:24,440 Speaker 1: heading into election day. You know, a lot of people 71 00:03:24,440 --> 00:03:26,920 Speaker 1: in the media were saying, oh, I don't know, you know, 72 00:03:26,919 --> 00:03:29,560 Speaker 1: we think Kamala is going to win. So why which 73 00:03:29,639 --> 00:03:31,280 Speaker 1: I still don't say her name, right, I kind of 74 00:03:31,280 --> 00:03:34,240 Speaker 1: refuse to say it correctly because I despise her. But anyways, 75 00:03:34,320 --> 00:03:37,040 Speaker 1: that's that's a that's not the point. But anyway, so 76 00:03:37,080 --> 00:03:40,880 Speaker 1: why why did you make this bet when other people 77 00:03:42,000 --> 00:03:43,000 Speaker 1: didn't think he was going to win? 78 00:03:43,360 --> 00:03:43,480 Speaker 4: No. 79 00:03:43,640 --> 00:03:47,000 Speaker 3: I saw these internal polls Lisa of the Teamsters, and 80 00:03:47,680 --> 00:03:49,960 Speaker 3: this was remarkable because when Joe Biden was in the race, 81 00:03:50,280 --> 00:03:53,040 Speaker 3: he was up by ten points over Trump among rank 82 00:03:53,080 --> 00:03:55,400 Speaker 3: and file of the Teamsters, which is the largest union 83 00:03:55,600 --> 00:03:56,080 Speaker 3: in the country. 84 00:03:56,120 --> 00:03:58,880 Speaker 4: They're particularly big in Michigan and Pennsylvania. 85 00:03:58,920 --> 00:04:01,880 Speaker 3: And then Kamala gets installed Soviet style without one vote 86 00:04:01,920 --> 00:04:04,600 Speaker 3: from the public in any way, shape or form. And 87 00:04:04,640 --> 00:04:07,800 Speaker 3: they do another poll again rank and file Teamsters internally, 88 00:04:07,960 --> 00:04:10,120 Speaker 3: and they released the pole and Trump's up by thirty points. 89 00:04:10,200 --> 00:04:11,240 Speaker 4: I'm like Wow. 90 00:04:11,400 --> 00:04:13,880 Speaker 3: So I'm thinking if teamsters are thinking that way, then 91 00:04:13,880 --> 00:04:15,960 Speaker 3: probably United Auto Workers are thinking that way, Probably US 92 00:04:16,000 --> 00:04:18,480 Speaker 3: steel workers are thinking that way. Restaurant service workers are 93 00:04:18,480 --> 00:04:21,719 Speaker 3: thinking that way. And if Democrats can't get those sort 94 00:04:21,720 --> 00:04:23,880 Speaker 3: of folks, that's their bread and butter. As far as voters, 95 00:04:23,920 --> 00:04:25,800 Speaker 3: particularly in the Midwest on those states that they have 96 00:04:25,880 --> 00:04:29,760 Speaker 3: to win like Pennsylvania, Michigan, Wisconsin, boy, and they're pemorrhaging 97 00:04:29,839 --> 00:04:32,960 Speaker 3: black voters also, and they're not doing well with Latinos 98 00:04:33,000 --> 00:04:33,360 Speaker 3: at all. 99 00:04:33,680 --> 00:04:35,839 Speaker 4: You lose those three big groups. 100 00:04:35,880 --> 00:04:38,320 Speaker 3: I didn't see who was left to vote for Kamala 101 00:04:38,680 --> 00:04:43,599 Speaker 3: outside of like young, single liberal women, especially in spring states. 102 00:04:43,680 --> 00:04:46,200 Speaker 3: So between that and when I made that bet, actually 103 00:04:46,279 --> 00:04:49,599 Speaker 3: Joe Biden was still the nominee, but he saw that 104 00:04:49,640 --> 00:04:52,200 Speaker 3: his brain had turned Apple saw some time ago. And 105 00:04:53,279 --> 00:04:55,440 Speaker 3: I always said that if Trump took on Biden in 106 00:04:55,440 --> 00:04:57,600 Speaker 3: twenty twenty without COVID, he would have won quite easily. 107 00:04:57,760 --> 00:04:59,680 Speaker 3: So I saw this rematch happening. I saw Trump on 108 00:04:59,720 --> 00:05:01,800 Speaker 3: the right side of every issue. I saw inflation at 109 00:05:01,880 --> 00:05:04,560 Speaker 3: nine percent. I saw crime driving people out of American 110 00:05:04,560 --> 00:05:07,480 Speaker 3: cities to places like where you live Florida or Texas 111 00:05:07,560 --> 00:05:09,760 Speaker 3: or Tennessee, and then I saw an open border that 112 00:05:09,800 --> 00:05:12,120 Speaker 3: no one liked it all, especially black and Latino voters, 113 00:05:12,240 --> 00:05:14,960 Speaker 3: and these endless wars and the way Democrats were conducting themselves, 114 00:05:15,040 --> 00:05:17,080 Speaker 3: as you use the word before it's worth repeating, crazy, 115 00:05:17,640 --> 00:05:19,560 Speaker 3: and I saw the common sense candidate was going to 116 00:05:19,600 --> 00:05:22,039 Speaker 3: win despite everything that Trump had going against them, the 117 00:05:22,120 --> 00:05:26,160 Speaker 3: ninety one felony charges, two assassination attempts, hostile media, all 118 00:05:26,240 --> 00:05:26,760 Speaker 3: those things. 119 00:05:26,880 --> 00:05:29,400 Speaker 4: He overcomes it. It truly is the greatest comeback ever. Releasing. 120 00:05:30,560 --> 00:05:32,600 Speaker 1: With all that said, what do you make of his 121 00:05:32,680 --> 00:05:34,760 Speaker 1: first one hundred days in office? Because I think the 122 00:05:34,800 --> 00:05:38,000 Speaker 1: most difficult thing with President Trump is that there's always 123 00:05:38,080 --> 00:05:40,680 Speaker 1: so much noise surrounding him. Right, You've got like the 124 00:05:40,680 --> 00:05:42,960 Speaker 1: people with trumps arrangement syndrome, and then you've got people 125 00:05:42,960 --> 00:05:46,240 Speaker 1: that are just so you know, artened that like they 126 00:05:46,320 --> 00:05:48,320 Speaker 1: you know, they try it not you know, it's like 127 00:05:48,360 --> 00:05:51,400 Speaker 1: there's could do no wrong, not seeing things clearly, and 128 00:05:51,440 --> 00:05:53,560 Speaker 1: so there's just like all this noise, and so it's 129 00:05:53,560 --> 00:05:55,560 Speaker 1: like trying to get to the truth of where we 130 00:05:55,640 --> 00:06:00,600 Speaker 1: actually are, what the voter sentiment actually is. You know, 131 00:06:00,600 --> 00:06:03,200 Speaker 1: after spending this time on the campaign tra with them 132 00:06:03,480 --> 00:06:05,479 Speaker 1: and looking at this past one hundred days. How do 133 00:06:05,520 --> 00:06:09,000 Speaker 1: you assess this these past first hundred days. 134 00:06:09,279 --> 00:06:11,320 Speaker 3: Yeah, I just try to look at numbers, right, because 135 00:06:11,400 --> 00:06:13,880 Speaker 3: numbers behave they're not They don't really make opinions. 136 00:06:13,880 --> 00:06:14,839 Speaker 4: They're just numbers. 137 00:06:15,160 --> 00:06:17,000 Speaker 3: So if you take all the noise out of it, 138 00:06:17,000 --> 00:06:19,599 Speaker 3: and all the feelings and the Trump derangement syndome and 139 00:06:19,640 --> 00:06:22,440 Speaker 3: the never trumpers and the media that is invested in 140 00:06:22,480 --> 00:06:24,240 Speaker 3: trying to be as negative about him as possible because 141 00:06:24,240 --> 00:06:26,960 Speaker 3: they're mostly liberal audiences, so they're catering and giving them the. 142 00:06:26,880 --> 00:06:28,000 Speaker 4: Red meat that they want. 143 00:06:28,200 --> 00:06:31,960 Speaker 3: I see two point four percent inflation right now, inflation falling. 144 00:06:32,120 --> 00:06:35,080 Speaker 3: That's good compared to you know, especially the nine percent 145 00:06:35,839 --> 00:06:39,360 Speaker 3: under Biden. Then I see unemployments around four percent, that's 146 00:06:39,480 --> 00:06:42,479 Speaker 3: very good. I see that border crossing as have drop 147 00:06:42,520 --> 00:06:44,880 Speaker 3: more than ninety nine percent without one more inch of 148 00:06:44,960 --> 00:06:46,880 Speaker 3: wall being built, just because we had a new president 149 00:06:47,040 --> 00:06:49,600 Speaker 3: throw down there some National guardsman beef up the border 150 00:06:49,600 --> 00:06:52,200 Speaker 3: patrol and that seemed to do the trick. So, you know, 151 00:06:52,240 --> 00:06:54,360 Speaker 3: we didn't need legislation, we just needed a new president. 152 00:06:54,680 --> 00:06:57,040 Speaker 3: So I look at those three numbers, I say, wow, 153 00:06:57,400 --> 00:07:01,159 Speaker 3: he's doing what he said he would do. Now, obviously 154 00:07:01,240 --> 00:07:04,160 Speaker 3: we have volatility in the market, it seems to have stabilized. 155 00:07:04,560 --> 00:07:07,279 Speaker 3: But in the end, you know, the Nasdaq for the 156 00:07:07,279 --> 00:07:09,760 Speaker 3: month of April was still higher than it was before 157 00:07:09,760 --> 00:07:12,480 Speaker 3: inauguration day, so that's pretty good. The Dow's only down 158 00:07:12,520 --> 00:07:13,760 Speaker 3: a little bit, and if you look at it over 159 00:07:13,840 --> 00:07:16,440 Speaker 3: all over like the last ten or twenty years, it's quadrupled. 160 00:07:16,720 --> 00:07:20,679 Speaker 3: So I understand that the tariff thing makes people nervous. 161 00:07:20,920 --> 00:07:23,840 Speaker 3: But once he starts announcing deals like he did yesterday, 162 00:07:23,880 --> 00:07:26,080 Speaker 3: you know, with Ukraine and the minerals deal, and he's 163 00:07:26,120 --> 00:07:28,120 Speaker 3: going to have a trade deal with India soon and 164 00:07:28,200 --> 00:07:30,320 Speaker 3: other countries will follow. And if we get zero for 165 00:07:30,440 --> 00:07:33,240 Speaker 3: zero's tariffs, that's a long game. So I think the 166 00:07:33,280 --> 00:07:35,280 Speaker 3: first one hundred days, yeah, they're important, and a lot 167 00:07:35,320 --> 00:07:38,400 Speaker 3: happened the next one hundred days, particularly when it comes 168 00:07:38,400 --> 00:07:40,600 Speaker 3: to the big beautiful bill that he wants pass as 169 00:07:40,640 --> 00:07:43,920 Speaker 3: far as extending the Trump tax cuts and the tariff 170 00:07:43,960 --> 00:07:46,240 Speaker 3: deals coming to fruition, and everybody's saying, oh, this is 171 00:07:46,240 --> 00:07:49,240 Speaker 3: actually working. That's going to be the big tell as 172 00:07:49,280 --> 00:07:52,160 Speaker 3: far as whether this presidency is successful or not least 173 00:07:52,160 --> 00:07:53,840 Speaker 3: it So, why. 174 00:07:53,680 --> 00:07:55,040 Speaker 1: Do you think he's taken a little bit of a 175 00:07:55,080 --> 00:07:56,920 Speaker 1: dip in the approval ratings. Do you think it's just 176 00:07:57,000 --> 00:08:00,800 Speaker 1: tariff related and just that volatility or what's behind that? 177 00:08:01,400 --> 00:08:01,679 Speaker 4: Yeah? 178 00:08:01,760 --> 00:08:04,000 Speaker 3: I mean I saw a media research center to pull 179 00:08:04,200 --> 00:08:06,520 Speaker 3: not a pull a service, but an analysis, I said, say, 180 00:08:06,600 --> 00:08:09,040 Speaker 3: and they found that Trump is getting ninety two percent 181 00:08:09,080 --> 00:08:11,600 Speaker 3: negative coverage on CBS, ABC and NBC when you look 182 00:08:11,600 --> 00:08:14,840 Speaker 3: at their newscast. So, I mean, it's hard to not 183 00:08:15,000 --> 00:08:17,840 Speaker 3: go down when all the public is hearing, if they 184 00:08:17,840 --> 00:08:21,760 Speaker 3: don't watch Fox or listen to this podcast, all negative, negative, negative, right, Like, 185 00:08:21,800 --> 00:08:24,520 Speaker 3: I don't hear I heard a lot about egg prices 186 00:08:24,560 --> 00:08:27,040 Speaker 3: going up when Trump first took office, like literally like 187 00:08:27,080 --> 00:08:29,480 Speaker 3: three days into office, we would see people like Pete 188 00:08:29,480 --> 00:08:31,920 Speaker 3: boodhag Edge saying, wow, I thought he said he was 189 00:08:31,920 --> 00:08:34,000 Speaker 3: going to bring the cost of eggs. You're like, dude, 190 00:08:34,000 --> 00:08:35,679 Speaker 3: he's been there for like ninety six hours, Like, how 191 00:08:35,720 --> 00:08:37,960 Speaker 3: did you been this on him? Well, now egg prices 192 00:08:37,960 --> 00:08:39,560 Speaker 3: are way way down, right, But I don't hear the 193 00:08:39,559 --> 00:08:41,760 Speaker 3: part about the egg prices going way down. I only 194 00:08:41,840 --> 00:08:44,440 Speaker 3: heard about egg prices going up with the tariffs. I 195 00:08:44,480 --> 00:08:46,400 Speaker 3: only heard about the dial going way down. I don't 196 00:08:46,400 --> 00:08:48,160 Speaker 3: hear about the fact that it's gone back up, So 197 00:08:48,440 --> 00:08:50,520 Speaker 3: I think that negative media coverage was going to pull 198 00:08:50,600 --> 00:08:51,160 Speaker 3: him down. 199 00:08:51,240 --> 00:08:51,800 Speaker 4: A little bit. 200 00:08:52,200 --> 00:08:55,720 Speaker 3: And overall, the tariffs, yeah, that's something that until people 201 00:08:55,720 --> 00:08:58,840 Speaker 3: see results, it's going to affect his numbers. But they're 202 00:08:58,840 --> 00:09:01,120 Speaker 3: still much better than they were his first term. First term, 203 00:09:01,120 --> 00:09:03,040 Speaker 3: at this time, he was at thirty six percent approval 204 00:09:03,040 --> 00:09:05,000 Speaker 3: and gallop. I mean, that's pretty low. I think he's 205 00:09:05,040 --> 00:09:07,400 Speaker 3: around an average of forty five percent now, and obviously 206 00:09:07,480 --> 00:09:09,880 Speaker 3: Joe Biden pulled even lower than both of those numbers, 207 00:09:09,880 --> 00:09:13,080 Speaker 3: so he's he's still doing quite fine. I don't think 208 00:09:13,080 --> 00:09:15,000 Speaker 3: any Trump supporters have left him, even though we hear 209 00:09:15,040 --> 00:09:16,760 Speaker 3: that in the media that oh, there's buyer's remorse. I 210 00:09:16,760 --> 00:09:18,440 Speaker 3: can't find one person who has buyer's remorse. 211 00:09:19,200 --> 00:09:20,400 Speaker 4: So I think he's doing fine. 212 00:09:20,440 --> 00:09:21,800 Speaker 3: I think the numbers are going to go up and down, 213 00:09:21,800 --> 00:09:24,959 Speaker 3: but overall, I'd rather be jd Vance and the twenty 214 00:09:24,960 --> 00:09:27,320 Speaker 3: twenty eight nomine in the Republican side than whatever Democrats 215 00:09:27,360 --> 00:09:29,480 Speaker 3: have going because their approval, Lisa, if we talked about 216 00:09:29,480 --> 00:09:32,120 Speaker 3: on the shows like Outnumbered, is like as low as 217 00:09:32,160 --> 00:09:34,480 Speaker 3: gas station sushi. Right, it's as popular as that twenty 218 00:09:34,480 --> 00:09:36,400 Speaker 3: one percent approval. That's where Democrats are at so the 219 00:09:36,440 --> 00:09:37,840 Speaker 3: alternative eight looking good either. 220 00:09:38,640 --> 00:09:40,440 Speaker 2: Yeah, I don't have biers remorse. 221 00:09:41,760 --> 00:09:44,760 Speaker 1: I'm annoyed with the media and the fact that, you know, 222 00:09:45,160 --> 00:09:48,000 Speaker 1: it's the way so negative as opposed to, you know, 223 00:09:48,080 --> 00:09:49,920 Speaker 1: kind of just telling the truth. But we've sort of 224 00:09:49,960 --> 00:09:54,880 Speaker 1: just become accustomed to that these days. What did you 225 00:09:55,040 --> 00:09:59,360 Speaker 1: learn about President Trump with spending that much time with 226 00:09:59,440 --> 00:10:01,559 Speaker 1: him one him on the campaign trail and sort of 227 00:10:01,600 --> 00:10:05,760 Speaker 1: seeing how the campaign operated. What sort of insight did 228 00:10:05,760 --> 00:10:07,600 Speaker 1: that give you that maybe you didn't have before. 229 00:10:08,720 --> 00:10:11,560 Speaker 3: Well, I got to talk to his posters, which also 230 00:10:12,040 --> 00:10:13,800 Speaker 3: gave me a lot of confidence to go on Fox, 231 00:10:13,840 --> 00:10:15,400 Speaker 3: like on October twenty twenty four. In the back of 232 00:10:15,400 --> 00:10:17,880 Speaker 3: the book, I say, quote Trump wins is quite easily 233 00:10:17,920 --> 00:10:19,880 Speaker 3: saved the tape play back if I'm wrong, this is how. 234 00:10:19,800 --> 00:10:20,839 Speaker 4: It's going to end, right. 235 00:10:20,880 --> 00:10:22,719 Speaker 3: I was one of the few people that said that 236 00:10:22,720 --> 00:10:25,040 Speaker 3: that got to get he won because they would play 237 00:10:25,080 --> 00:10:25,600 Speaker 3: back that tape. 238 00:10:25,640 --> 00:10:26,200 Speaker 4: I am sure. 239 00:10:27,080 --> 00:10:29,679 Speaker 3: So overall I got to talk to guys like Chris Lasovita, 240 00:10:29,880 --> 00:10:32,880 Speaker 3: meet Susie Wilds, and just see the way the campaign ran. 241 00:10:32,960 --> 00:10:34,800 Speaker 3: And I wasn't there in twenty twenty. Not many people 242 00:10:34,840 --> 00:10:37,640 Speaker 3: were because of COVID, but there was such a confidence 243 00:10:37,640 --> 00:10:41,440 Speaker 3: and a swagger and an unapologetic nature that this twenty 244 00:10:41,480 --> 00:10:44,120 Speaker 3: twenty four campaign did that twenty twenty couldn't, Like Trump 245 00:10:44,120 --> 00:10:46,680 Speaker 3: couldn't do the rallies that he wanted to. He was 246 00:10:46,720 --> 00:10:49,240 Speaker 3: constantly on defense as far as being blamed for COVID, 247 00:10:49,280 --> 00:10:51,240 Speaker 3: even though obviously that was the Chinese and then Biden 248 00:10:51,280 --> 00:10:53,760 Speaker 3: obviously got that free pass. This time around, they had 249 00:10:53,760 --> 00:10:55,840 Speaker 3: a plan and they executed on it, and we didn't 250 00:10:55,880 --> 00:10:59,240 Speaker 3: see almost any leaks to the press during the campaign 251 00:10:59,240 --> 00:11:02,040 Speaker 3: like we had in past campaign. So like when they 252 00:11:02,080 --> 00:11:04,360 Speaker 3: decided to go to McDonald's, for example, and the media 253 00:11:04,440 --> 00:11:06,560 Speaker 3: killed him for it, like, wow, he doesn't really work there, 254 00:11:06,840 --> 00:11:08,000 Speaker 3: you know, Oh, it's just a stunt. 255 00:11:08,280 --> 00:11:09,720 Speaker 4: He looks foolish. 256 00:11:09,760 --> 00:11:12,800 Speaker 3: That turned out to be the most viral moment outside 257 00:11:12,800 --> 00:11:15,000 Speaker 3: of the assassination attempt, the first one of the campaign, 258 00:11:15,080 --> 00:11:17,320 Speaker 3: because you can't call Trump hitler and then see these 259 00:11:17,320 --> 00:11:19,560 Speaker 3: pictures of them smiling and waving in a McDonald's apron 260 00:11:19,640 --> 00:11:21,920 Speaker 3: like somehow, you know, it diffused that, but it was 261 00:11:21,960 --> 00:11:24,880 Speaker 3: the ultimate troll also, right because Kamala Harris said she 262 00:11:24,960 --> 00:11:27,640 Speaker 3: worked at McDonald's, and then the campaign said, all right, 263 00:11:28,200 --> 00:11:29,679 Speaker 3: we're going to try to make you prove it. And 264 00:11:30,040 --> 00:11:32,920 Speaker 3: the funny thing is Kamala wrote two memoirs about her 265 00:11:32,920 --> 00:11:35,160 Speaker 3: own life and never mentioned once that she worked at McDonald's. 266 00:11:35,440 --> 00:11:37,400 Speaker 3: She ran for president in twenty nineteen, never mentioned once 267 00:11:37,480 --> 00:11:39,760 Speaker 3: that she worked at McDonald's vice president for four years, 268 00:11:39,800 --> 00:11:42,400 Speaker 3: never mentioned once. Only until the campaign began in August, 269 00:11:42,720 --> 00:11:45,440 Speaker 3: she started using this punchline and Trump just kept saying, no, 270 00:11:45,520 --> 00:11:48,880 Speaker 3: you didn't, and that moment when he worked at McDonald's. 271 00:11:48,880 --> 00:11:50,720 Speaker 3: For three days after that, Kamala I had to answer 272 00:11:50,840 --> 00:11:52,959 Speaker 3: questions about did you really work at McDonald's, Why don't 273 00:11:52,960 --> 00:11:54,680 Speaker 3: you have a pay stub, why can't anybody remember you 274 00:11:54,720 --> 00:11:55,160 Speaker 3: working there? 275 00:11:55,480 --> 00:11:57,480 Speaker 4: And I thought that that was just genius. 276 00:11:57,520 --> 00:12:00,000 Speaker 3: And being exposed to the campaign, you saw these guys 277 00:12:00,040 --> 00:12:03,160 Speaker 3: as an action and these were pros, and Trump most 278 00:12:03,200 --> 00:12:05,000 Speaker 3: importantly listened to them when in the past head and 279 00:12:05,120 --> 00:12:07,080 Speaker 3: listen to his campaign people for the most part, outside 280 00:12:07,080 --> 00:12:07,959 Speaker 3: of Kellyam. 281 00:12:07,760 --> 00:12:09,000 Speaker 2: We've got more with Joe. 282 00:12:09,040 --> 00:12:12,400 Speaker 1: But first, as Mother's Day approaches, I want to highlight 283 00:12:12,480 --> 00:12:15,560 Speaker 1: an organization that cares deeply for mothers, and that's Preborn. 284 00:12:15,679 --> 00:12:20,040 Speaker 1: Preborn's network of clinics exists exclusively to offer love, life 285 00:12:20,080 --> 00:12:22,960 Speaker 1: and support to pregnant mothers who are feeling scared and 286 00:12:23,000 --> 00:12:25,720 Speaker 1: alone and are being pressured to make the ultimate choice 287 00:12:25,840 --> 00:12:28,720 Speaker 1: that will not only sacrifice the life of the preborn baby, 288 00:12:29,080 --> 00:12:31,079 Speaker 1: but take a piece of the heart as well. 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It was kind of funny too, because 303 00:13:18,400 --> 00:13:23,040 Speaker 1: the media try to position Kamala as like this joyful 304 00:13:23,160 --> 00:13:26,920 Speaker 1: warrior and like vibes and like she's so much fun 305 00:13:27,240 --> 00:13:28,720 Speaker 1: and you know, but then like when we saw her 306 00:13:28,760 --> 00:13:31,520 Speaker 1: out on the campaign trail, she just seemed like angry 307 00:13:31,720 --> 00:13:34,640 Speaker 1: and like tired and you know. And then you've got like, 308 00:13:34,679 --> 00:13:36,840 Speaker 1: well yeah, and like Walls with his like spirit, you know, 309 00:13:36,920 --> 00:13:39,400 Speaker 1: and like there's just this like weird thing. And then 310 00:13:39,840 --> 00:13:42,240 Speaker 1: when we saw President Trump out there, like you mentioned 311 00:13:42,280 --> 00:13:45,600 Speaker 1: with the McDonald's thing or with the trash truck, or 312 00:13:45,640 --> 00:13:47,920 Speaker 1: like when he started introducing the golf swing, which was 313 00:13:47,960 --> 00:13:50,199 Speaker 1: when I was like, all right, this guy's feeling really confident, 314 00:13:50,640 --> 00:13:52,760 Speaker 1: but like he was having fun, you know, like he 315 00:13:52,880 --> 00:13:56,000 Speaker 1: was enjoying himself out there, like he enjoyed meeting people 316 00:13:56,040 --> 00:13:58,240 Speaker 1: and bang out of the campaign trail and like he 317 00:13:58,400 --> 00:14:00,160 Speaker 1: was the one. And then we saw him an intervieu 318 00:14:00,240 --> 00:14:03,040 Speaker 1: is with you know, Joe Rogan or like he was 319 00:14:03,080 --> 00:14:06,880 Speaker 1: the one enjoying himself in the process. Like his campaign 320 00:14:07,200 --> 00:14:09,520 Speaker 1: was the one, like the campaign of fun. 321 00:14:09,960 --> 00:14:12,040 Speaker 3: You know who's winning when you exactly when you see 322 00:14:12,040 --> 00:14:14,120 Speaker 3: the the candidateth that's having fun as opposed to the 323 00:14:14,120 --> 00:14:16,719 Speaker 3: one that wasn't. And with Kamala, it was all contrived, right, 324 00:14:16,760 --> 00:14:19,320 Speaker 3: So even when she would do the cackle and act 325 00:14:19,360 --> 00:14:21,480 Speaker 3: all happy, and she would have these big crowds. You 326 00:14:22,040 --> 00:14:26,320 Speaker 3: later learned that, oh, she actually paid Eminem or Beyonce 327 00:14:26,800 --> 00:14:29,800 Speaker 3: or you know, pick pick your artist here to perform 328 00:14:30,040 --> 00:14:32,520 Speaker 3: at her rallies, so they would show people would show 329 00:14:32,560 --> 00:14:35,320 Speaker 3: up just to see the performance. Rightly, Beyonce went to Houston, 330 00:14:35,360 --> 00:14:39,000 Speaker 3: Texas to perform, and she didn't perform. She just like 331 00:14:39,120 --> 00:14:41,160 Speaker 3: spoke for three minutes, left the stage, and everybody just 332 00:14:41,200 --> 00:14:43,240 Speaker 3: like kind of like left dejected because they're like, oh God, 333 00:14:43,240 --> 00:14:45,480 Speaker 3: all we got was three minutes of Beyonce talking to 334 00:14:45,560 --> 00:14:48,960 Speaker 3: us and then Kamala doing one of her horrible campaign speeches. 335 00:14:49,240 --> 00:14:52,200 Speaker 3: So yeah, Kamala Harris is obviously a big part of 336 00:14:52,200 --> 00:14:54,760 Speaker 3: this book, and the biggest mistake of the campaign by 337 00:14:54,880 --> 00:14:57,200 Speaker 3: far was when she had this two inch putt two 338 00:14:57,200 --> 00:15:01,600 Speaker 3: inch putt Josh Shapiro governor Pennsylvani sixty two percent approval 339 00:15:01,600 --> 00:15:03,880 Speaker 3: in a state she absolutely has to win, and instead 340 00:15:03,920 --> 00:15:05,640 Speaker 3: of picking him because she didn't want to lose that 341 00:15:05,680 --> 00:15:08,160 Speaker 3: anti Semitic wing of the party, I suppose she goes 342 00:15:08,200 --> 00:15:11,440 Speaker 3: with goofy eighty sitcom Dad, Tim Walls, who you know, 343 00:15:11,480 --> 00:15:13,720 Speaker 3: you're right, the jazz hands and Oh, you know I 344 00:15:13,760 --> 00:15:14,720 Speaker 3: carry weapons of war. 345 00:15:14,880 --> 00:15:15,680 Speaker 4: Actually he didn't. 346 00:15:15,880 --> 00:15:19,480 Speaker 3: Oh I was in Hong Kong during the Tianneman Square massacre. 347 00:15:19,640 --> 00:15:22,000 Speaker 4: No, you're in a cornfield Nebraska. Oh. I was a 348 00:15:22,000 --> 00:15:22,880 Speaker 4: great football coach. 349 00:15:22,920 --> 00:15:24,920 Speaker 3: No, you're an assistant coach because you got a DUI 350 00:15:25,320 --> 00:15:27,280 Speaker 3: going ninety four miles an hour and they wouldn't let 351 00:15:27,280 --> 00:15:29,960 Speaker 3: you coach on a full time basis. So you know, overall, 352 00:15:30,320 --> 00:15:33,680 Speaker 3: he was horrible, especially during the vice presidential debate jad Vance, 353 00:15:33,680 --> 00:15:36,520 Speaker 3: who I had some reservations about being chosen as the 354 00:15:36,600 --> 00:15:39,080 Speaker 3: VP because he underperformed in Ohio when he ran for Senate, 355 00:15:39,120 --> 00:15:41,720 Speaker 3: and I thought that Glenn Youngkin might be able to 356 00:15:41,720 --> 00:15:44,920 Speaker 3: deliver Virginia in that he seemed to be a strong candidate, 357 00:15:44,920 --> 00:15:46,880 Speaker 3: if not Marko Rubio, And that turned out to be. 358 00:15:47,040 --> 00:15:48,800 Speaker 4: A stroke of genius by Trump. 359 00:15:48,960 --> 00:15:51,680 Speaker 3: So in the end, Trump chooses the right VP, Kama 360 00:15:51,760 --> 00:15:55,040 Speaker 3: chooses the wrong VP, and never before has a vice 361 00:15:55,040 --> 00:15:57,600 Speaker 3: presidential pick affected the race that much. But I think 362 00:15:57,600 --> 00:16:00,920 Speaker 3: Tim Walls was that bad that he brought down that ticket, so. 363 00:16:00,840 --> 00:16:02,360 Speaker 2: I you know now that I'm thinking about it. 364 00:16:02,800 --> 00:16:05,400 Speaker 1: Although I think Walls was a terrible pick and definitely 365 00:16:05,400 --> 00:16:07,560 Speaker 1: did great harm to the ticket, I don't think she 366 00:16:07,600 --> 00:16:11,160 Speaker 1: would have won with Shapiro either, because he's so boring. 367 00:16:11,200 --> 00:16:13,160 Speaker 1: I don't know if you've ever like, he doesn't really 368 00:16:13,200 --> 00:16:15,560 Speaker 1: have the it factor, Like he's kind of and he's 369 00:16:15,560 --> 00:16:18,080 Speaker 1: also very small and like, you know, kind of like 370 00:16:18,080 --> 00:16:20,720 Speaker 1: a little man. And considering the fact that you have 371 00:16:20,760 --> 00:16:22,920 Speaker 1: like a woman on the ticket they needed. That's the 372 00:16:22,920 --> 00:16:25,720 Speaker 1: whole reason she picked Walls, because she thought, you know, 373 00:16:25,800 --> 00:16:29,080 Speaker 1: miscalculation that he would connect with like men on like 374 00:16:29,120 --> 00:16:31,480 Speaker 1: a bro level in the country, and obviously he did not. 375 00:16:31,640 --> 00:16:33,960 Speaker 1: And I don't think Josh Shapiro would have fit that 376 00:16:34,040 --> 00:16:36,000 Speaker 1: bill either, Like people don't really look at him as 377 00:16:36,080 --> 00:16:38,800 Speaker 1: like strong and a fighter and like right, so I 378 00:16:38,880 --> 00:16:41,080 Speaker 1: don't I mean, I think that maybe the margins would 379 00:16:41,080 --> 00:16:43,920 Speaker 1: have been tighter, like potentially, you know, especially in Pennsylvania, 380 00:16:43,960 --> 00:16:46,000 Speaker 1: as you mentioned, since he is very popular there. But 381 00:16:46,440 --> 00:16:49,920 Speaker 1: I don't really know if that would have changed the overall, 382 00:16:50,440 --> 00:16:53,400 Speaker 1: you know, the end result, to be honest, but you know, 383 00:16:53,960 --> 00:16:55,480 Speaker 1: and I'm just I'm just saying that as we were 384 00:16:55,480 --> 00:16:58,120 Speaker 1: having this comment, I'm just thinking in my head about 385 00:16:58,120 --> 00:17:00,200 Speaker 1: Walls when you that's just what kind of like in 386 00:17:00,360 --> 00:17:03,040 Speaker 1: my mind. So I wanted to ask you one let. 387 00:17:03,000 --> 00:17:06,119 Speaker 4: Me be clear about this. Yeah, yeah, super, But Walls 388 00:17:06,119 --> 00:17:07,159 Speaker 4: didn't help, We'll put it that way. 389 00:17:07,480 --> 00:17:09,880 Speaker 1: No, No, he was definitely a detriment to the campaign, 390 00:17:09,880 --> 00:17:13,200 Speaker 1: more so than probably anyone else to your point, for sure. 391 00:17:13,240 --> 00:17:16,080 Speaker 1: But you know, I also wanted to ask you, so, 392 00:17:16,119 --> 00:17:20,119 Speaker 1: did you start covering this before the first assassination attempt? 393 00:17:20,160 --> 00:17:21,960 Speaker 1: You had said six months? I think it was, what 394 00:17:22,040 --> 00:17:25,160 Speaker 1: was it July, right the assassination? So did you start 395 00:17:25,160 --> 00:17:26,639 Speaker 1: covering it before the assassination? 396 00:17:27,200 --> 00:17:31,040 Speaker 4: Yeah? So my first encounter with the campaign was. 397 00:17:31,760 --> 00:17:34,719 Speaker 1: I guess, sorry, So I guess my question was going 398 00:17:34,760 --> 00:17:38,440 Speaker 1: to be, like how did that change? I mean, obviously 399 00:17:38,480 --> 00:17:41,719 Speaker 1: that would change things, but talk about like the Trump 400 00:17:41,760 --> 00:17:48,120 Speaker 1: campaign and President Trump pre assassination attempt versus post assassination attempt, 401 00:17:48,160 --> 00:17:51,320 Speaker 1: and like what you witnessed, and like how that changed 402 00:17:51,840 --> 00:17:54,440 Speaker 1: the trajectory, changed him, changed the campaign? 403 00:17:55,119 --> 00:17:55,399 Speaker 4: Sure? 404 00:17:56,040 --> 00:17:59,359 Speaker 3: Well, yeah, so I started covering this May eleventh, twenty 405 00:17:59,440 --> 00:18:02,240 Speaker 3: twenty four. That was the Wildwood New Jersey rally. And 406 00:18:02,280 --> 00:18:04,000 Speaker 3: I'd never been to a Trump rally before. They don't 407 00:18:04,000 --> 00:18:06,560 Speaker 3: come to New Jersey really at all. And I'm like, 408 00:18:06,560 --> 00:18:08,040 Speaker 3: all right, well I'm gonna write this book. I'd like 409 00:18:08,080 --> 00:18:10,000 Speaker 3: to be you know, embedded with the campaign and let's 410 00:18:10,000 --> 00:18:13,399 Speaker 3: see how they operate. So I reach out to Margot Martin, 411 00:18:13,800 --> 00:18:17,040 Speaker 3: who is one of Trump's top aids, and I said, hey, 412 00:18:17,119 --> 00:18:18,840 Speaker 3: I'd love to cover this. I'm writing a book. And 413 00:18:18,880 --> 00:18:21,280 Speaker 3: she's like, wow, that sounds great. We'll provide transportation. I'm like, 414 00:18:21,320 --> 00:18:22,960 Speaker 3: oh good, They're going to give me an uber, you know, 415 00:18:23,000 --> 00:18:25,320 Speaker 3: because I have an accurate that has like two hundred 416 00:18:25,320 --> 00:18:26,920 Speaker 3: and fifty thousand miles on it and shakes when it 417 00:18:26,920 --> 00:18:28,400 Speaker 3: goes above sixty miles an hour and I really don't 418 00:18:28,440 --> 00:18:29,840 Speaker 3: want to drive two and a half hours in that thing. 419 00:18:30,640 --> 00:18:32,560 Speaker 3: And then I get the email saying, Okay, you'll meet 420 00:18:32,560 --> 00:18:35,960 Speaker 3: the president on this tarmac at Laguardi Airport, and you 421 00:18:36,000 --> 00:18:38,159 Speaker 3: will board the Trump train and you'll be seated with 422 00:18:38,240 --> 00:18:40,400 Speaker 3: other reporters that are covering the campaign. I'm like, whoa, 423 00:18:40,440 --> 00:18:42,399 Speaker 3: this is great. I'm going on the plane. Never did 424 00:18:42,440 --> 00:18:44,840 Speaker 3: that before. So sit down on the plane. 425 00:18:45,040 --> 00:18:45,800 Speaker 4: They have gold. 426 00:18:45,560 --> 00:18:48,520 Speaker 3: Seatbelts, which I found very interesting. And then I'm starving. 427 00:18:48,640 --> 00:18:50,560 Speaker 3: I didn't have any breakfast. It was already one o'clock 428 00:18:50,840 --> 00:18:52,080 Speaker 3: and I'm like, I wonder what they're going to serve. 429 00:18:52,200 --> 00:18:54,080 Speaker 3: It's kind of a short flight down Atlantic City. But 430 00:18:54,119 --> 00:18:56,320 Speaker 3: let me, I want to it's gonna be like lobster 431 00:18:56,400 --> 00:18:58,720 Speaker 3: tails or steak. You know, it's a Trump plane, and 432 00:18:58,760 --> 00:19:02,080 Speaker 3: out comes Wendy's. I found very interesting, you know, not McDonald's, 433 00:19:02,200 --> 00:19:04,280 Speaker 3: I guess, only there was a Wendy's in Laguardi Airport. 434 00:19:04,320 --> 00:19:07,600 Speaker 3: So tater tots, cheeseburger, French fries, and coke of course, 435 00:19:07,600 --> 00:19:09,680 Speaker 3: because that's our die coke' that's the Trump thing. 436 00:19:10,040 --> 00:19:10,919 Speaker 4: And then Trump comes on the. 437 00:19:10,880 --> 00:19:13,040 Speaker 3: Plane and we speak for a little bit, and then 438 00:19:13,040 --> 00:19:14,520 Speaker 3: he gets whisted to the front, and then I was 439 00:19:14,560 --> 00:19:16,600 Speaker 3: back with basically with Chris Losovita and the rest of 440 00:19:16,640 --> 00:19:19,159 Speaker 3: the Secret Service. But then when we landed Lisa, it 441 00:19:19,200 --> 00:19:21,680 Speaker 3: was interesting because then you go in the motorcade and 442 00:19:21,720 --> 00:19:24,359 Speaker 3: they closed off the highway, so we were it was 443 00:19:24,400 --> 00:19:27,919 Speaker 3: like probably twelve thirteen cars in this motorcade. Obviously Trump's 444 00:19:27,920 --> 00:19:31,520 Speaker 3: in that motorcade and I'm in another car. So the 445 00:19:31,520 --> 00:19:33,399 Speaker 3: Garden State Parkway where we were going down only as 446 00:19:33,440 --> 00:19:36,440 Speaker 3: two lanes, all right, and one lane was closed off, 447 00:19:36,480 --> 00:19:39,600 Speaker 3: and we had state troopers basically flanking the motorcade. Suddenly, 448 00:19:39,640 --> 00:19:42,879 Speaker 3: out of nowhere, these two old ladies come pulling up 449 00:19:42,920 --> 00:19:46,600 Speaker 3: like right alongside Trump's car, and I'm like, who is that? 450 00:19:46,840 --> 00:19:49,640 Speaker 3: It was like a white Toyota like Tursell. And eventually 451 00:19:49,680 --> 00:19:51,760 Speaker 3: my car catches up to him and I look in 452 00:19:51,800 --> 00:19:53,159 Speaker 3: and it's like probably like two girls. They could be 453 00:19:53,200 --> 00:19:55,240 Speaker 3: right out of the Golden Girls. And they look totally 454 00:19:55,280 --> 00:19:57,439 Speaker 3: confused and a bit horrified, like where are we? 455 00:19:57,560 --> 00:19:58,280 Speaker 4: What's going on? 456 00:19:58,720 --> 00:20:01,320 Speaker 3: So then eventually police car comes up from behind and 457 00:20:01,359 --> 00:20:04,280 Speaker 3: just kind of gets the car off off the highway slowly. 458 00:20:04,320 --> 00:20:05,480 Speaker 3: And I was thinking to myself and I wrote a 459 00:20:05,480 --> 00:20:08,760 Speaker 3: note to myself saying, how did that car penetrate the motorcade? 460 00:20:08,760 --> 00:20:10,760 Speaker 3: And what if that was like a bad actor pulling 461 00:20:10,840 --> 00:20:12,960 Speaker 3: right up beside, you know, the President's car. 462 00:20:13,000 --> 00:20:15,600 Speaker 4: I mean, that could have been bad. Right. Then we 463 00:20:15,640 --> 00:20:17,400 Speaker 4: get to the Wildwood. 464 00:20:17,000 --> 00:20:19,080 Speaker 3: Rally and there's one hundred thousand people there, but the 465 00:20:19,080 --> 00:20:22,960 Speaker 3: boardwalk isn't closed, the rides above Trump aren't closed. Little 466 00:20:22,960 --> 00:20:25,240 Speaker 3: planes are allowed to fly over the stage where Trump 467 00:20:25,280 --> 00:20:27,040 Speaker 3: was speaking, and I just kept writing myself, I go, 468 00:20:27,119 --> 00:20:29,720 Speaker 3: this does not feel secure at all. And I didn't 469 00:20:29,880 --> 00:20:31,240 Speaker 3: have any idea what was going to happen in Butler, 470 00:20:31,280 --> 00:20:33,560 Speaker 3: Pennsylvania a couple of weeks later, But sure enough, I'm about 471 00:20:33,560 --> 00:20:35,040 Speaker 3: to go on do the big weekend show that I've 472 00:20:35,080 --> 00:20:38,399 Speaker 3: done with you, And then I'm watching Trump's speech in 473 00:20:38,440 --> 00:20:41,280 Speaker 3: the green room while Jason Chaffitz and Katie Pavlich and 474 00:20:41,440 --> 00:20:43,919 Speaker 3: Miranda Devine are back in makeup, and then suddenly you 475 00:20:43,920 --> 00:20:45,520 Speaker 3: hear the pops and you see Trump go down and 476 00:20:45,560 --> 00:20:46,360 Speaker 3: you don't know what's. 477 00:20:46,160 --> 00:20:47,840 Speaker 4: Happening, and you're like, is he dead? 478 00:20:47,960 --> 00:20:50,520 Speaker 3: Like he's on the ground for a while, and then 479 00:20:50,520 --> 00:20:53,639 Speaker 3: he gets up and he raises his fist in the 480 00:20:53,640 --> 00:20:53,960 Speaker 3: air and he. 481 00:20:53,960 --> 00:20:56,439 Speaker 4: Says, fight, fight, fight. I'm like, wow, that was the 482 00:20:56,440 --> 00:20:57,840 Speaker 4: most badass thing I've ever seen. 483 00:20:57,960 --> 00:21:00,119 Speaker 3: There's blood on his face and he's getting up in 484 00:21:00,119 --> 00:21:01,760 Speaker 3: the middle of this crowd, doesn't know if there's a 485 00:21:01,800 --> 00:21:04,439 Speaker 3: second shooter. So when I interviewed the President, I'm like, 486 00:21:04,480 --> 00:21:06,359 Speaker 3: what made you do that? In that moment, I would 487 00:21:06,359 --> 00:21:08,120 Speaker 3: have gotten the hell out of there. He said, oh yeah. 488 00:21:08,119 --> 00:21:09,560 Speaker 3: There was a stretcher on the stage and they wanted 489 00:21:09,560 --> 00:21:10,600 Speaker 3: me to go on it, and I said, no way 490 00:21:10,640 --> 00:21:11,520 Speaker 3: in hell am I getting on that. 491 00:21:11,880 --> 00:21:13,480 Speaker 4: And then he said I did that. 492 00:21:13,800 --> 00:21:16,240 Speaker 3: I said fight, fight, fight, and I rose my fist 493 00:21:16,240 --> 00:21:18,720 Speaker 3: because I knew my family was watching, especially my youngest son, 494 00:21:18,920 --> 00:21:21,479 Speaker 3: and I wanted him and my wife and my family 495 00:21:21,520 --> 00:21:23,439 Speaker 3: and the country in the world to know that I 496 00:21:23,600 --> 00:21:26,119 Speaker 3: was okay and that nothing was going to stop this movement, 497 00:21:26,200 --> 00:21:27,960 Speaker 3: and I wanted to let the world know that. I go, Wow, 498 00:21:28,400 --> 00:21:30,280 Speaker 3: I mean, that's something I wouldn't do in that situation. 499 00:21:30,320 --> 00:21:31,720 Speaker 3: I think, get me the hell out of there and 500 00:21:31,760 --> 00:21:33,600 Speaker 3: get me in a car. So I think he saw 501 00:21:33,640 --> 00:21:35,800 Speaker 3: Trump kind of humbled after that. Like at the RNC 502 00:21:36,240 --> 00:21:39,160 Speaker 3: where I was, he had his granddaughter on his lap 503 00:21:39,240 --> 00:21:41,280 Speaker 3: at one point, and again he made the point before 504 00:21:41,320 --> 00:21:42,520 Speaker 3: and it was a correct one. He just seemed to 505 00:21:42,560 --> 00:21:44,240 Speaker 3: be like he was having a good time. But I 506 00:21:44,240 --> 00:21:47,240 Speaker 3: think the assassination attempt, the first one, really made him 507 00:21:47,240 --> 00:21:50,360 Speaker 3: appreciate where he was in this moment of history and 508 00:21:50,520 --> 00:21:52,320 Speaker 3: what he can do if he got back into office. 509 00:21:52,359 --> 00:21:56,399 Speaker 4: He seemed to be a more I don't have the 510 00:21:56,480 --> 00:21:57,040 Speaker 4: right word for it. 511 00:21:57,040 --> 00:21:59,840 Speaker 3: I guess just relaxed and confident person after it then 512 00:21:59,880 --> 00:22:01,399 Speaker 3: he was before, because he probably was thinking, if I 513 00:22:01,440 --> 00:22:02,920 Speaker 3: can survive this, I'll survive anything. 514 00:22:03,040 --> 00:22:05,080 Speaker 1: Well, it's like a renewed purpose in life, you know, 515 00:22:05,200 --> 00:22:08,960 Speaker 1: like it's it's like, you know, did they ever talk 516 00:22:09,000 --> 00:22:11,879 Speaker 1: about or did he when you're interviewed him, did he 517 00:22:12,160 --> 00:22:15,040 Speaker 1: say who he thought was behind this, Like we still 518 00:22:15,080 --> 00:22:18,840 Speaker 1: don't have any answers on either shooters really, like there's 519 00:22:18,880 --> 00:22:22,080 Speaker 1: not been a lot of information. They cremated his body. 520 00:22:22,160 --> 00:22:26,679 Speaker 1: The first shooter, Thomas Matthews Crooks very quickly. You know, 521 00:22:26,720 --> 00:22:30,840 Speaker 1: he had these suspicious encrypted accounts, Like you know, just 522 00:22:30,960 --> 00:22:33,080 Speaker 1: a lot of really strange things that don't add up 523 00:22:33,080 --> 00:22:36,360 Speaker 1: and not a lot of information a surface. Did they 524 00:22:36,440 --> 00:22:39,360 Speaker 1: have any sort of idea or kind of what did 525 00:22:39,400 --> 00:22:41,520 Speaker 1: What did they tell you about who they thought or 526 00:22:41,560 --> 00:22:42,720 Speaker 1: what they thought was behind that? 527 00:22:43,520 --> 00:22:45,879 Speaker 3: To be honest, I didn't ask the question now that 528 00:22:45,920 --> 00:22:48,960 Speaker 3: you said that, I wish I did, because Trump really 529 00:22:49,000 --> 00:22:51,920 Speaker 3: doesn't talk about that part all that much. I asked 530 00:22:51,960 --> 00:22:53,520 Speaker 3: ten questions in the book, and I think we all 531 00:22:53,560 --> 00:22:56,360 Speaker 3: have them, but the main questions around those two assassination attempts, 532 00:22:56,640 --> 00:22:58,399 Speaker 3: and the first one in the in the instance of 533 00:22:58,440 --> 00:23:01,800 Speaker 3: Crooks and Pennsylvania, how does a twenty year old kid 534 00:23:02,240 --> 00:23:03,800 Speaker 3: be able to. 535 00:23:03,359 --> 00:23:07,159 Speaker 4: Hide a high powered rifle next to a building. 536 00:23:07,280 --> 00:23:09,679 Speaker 3: That has a roof that has the one line of 537 00:23:09,720 --> 00:23:12,159 Speaker 3: sight to that stage that couldn't be any more perfect? 538 00:23:12,680 --> 00:23:15,080 Speaker 3: And then how does that kid then outflank the entire 539 00:23:15,080 --> 00:23:17,320 Speaker 3: Secret Service and local law enforcement to get up on 540 00:23:17,359 --> 00:23:20,800 Speaker 3: that roof and have the gun. I mean the fact 541 00:23:20,800 --> 00:23:23,000 Speaker 3: that they didn't secure that building. They were in the building, 542 00:23:23,000 --> 00:23:25,119 Speaker 3: but they weren't on the roof, which makes no sense whatsoever. 543 00:23:25,640 --> 00:23:27,080 Speaker 3: And the fact that this kid was able to do 544 00:23:27,160 --> 00:23:29,720 Speaker 3: all of this. I mean, no one got fired. No 545 00:23:29,840 --> 00:23:31,800 Speaker 3: one person got fired from the Secret Service over this. 546 00:23:31,840 --> 00:23:35,239 Speaker 3: What the Secret Service head did resign and shame, but 547 00:23:35,320 --> 00:23:38,639 Speaker 3: no one was fired. And the fact that Lisa, knowing 548 00:23:38,640 --> 00:23:40,639 Speaker 3: that there was a thread out there for forty five minutes, 549 00:23:41,119 --> 00:23:44,119 Speaker 3: and someone still gave the green light to send Trump 550 00:23:44,160 --> 00:23:45,160 Speaker 3: onto that stage. 551 00:23:45,680 --> 00:23:47,000 Speaker 4: How is that person fell of a job. 552 00:23:47,040 --> 00:23:48,560 Speaker 3: I have no idea because I don't know anything about 553 00:23:48,560 --> 00:23:50,520 Speaker 3: I've never been in the Secret Service. I'm not Dan Bongino, 554 00:23:50,760 --> 00:23:54,159 Speaker 3: but I would never ever say, wait, there's a threat. No, 555 00:23:54,200 --> 00:23:55,679 Speaker 3: we're not sending him out there until we have that 556 00:23:55,720 --> 00:23:58,480 Speaker 3: threat contained. And somebody still sent them out there. So 557 00:23:58,480 --> 00:24:00,880 Speaker 3: a lot of questions around that one. And then Ryan Ruth. 558 00:24:00,880 --> 00:24:02,880 Speaker 3: I was at Trump International just last week in your 559 00:24:02,880 --> 00:24:06,439 Speaker 3: neck of the woods in West Palm Beach, and I 560 00:24:06,520 --> 00:24:09,919 Speaker 3: walked where the sixth hole was, where Ryan Ruth was 561 00:24:10,640 --> 00:24:13,560 Speaker 3: in a sniper's nest for more than twelve hours, and 562 00:24:13,880 --> 00:24:16,520 Speaker 3: I saw the location where he had this nest, and 563 00:24:16,880 --> 00:24:19,639 Speaker 3: you would spot him if you walk the perimeter. Not 564 00:24:19,800 --> 00:24:23,200 Speaker 3: one Secret Service agent walk the perimeter before Trump's out 565 00:24:23,200 --> 00:24:24,159 Speaker 3: there on a golf course. 566 00:24:24,440 --> 00:24:27,760 Speaker 4: I mean, again, this almost feels intentional. 567 00:24:27,840 --> 00:24:29,959 Speaker 3: I mean, and you could call me a conspiracy theorist, fine, 568 00:24:30,000 --> 00:24:32,800 Speaker 3: but this goes well past in confidence. The Secret Service 569 00:24:32,800 --> 00:24:34,199 Speaker 3: has to do a better job, and the fact that 570 00:24:34,200 --> 00:24:36,719 Speaker 3: they didn't in these situations, I would think Trump has 571 00:24:36,720 --> 00:24:38,320 Speaker 3: a lot of questions, but it seems like he's moved 572 00:24:38,359 --> 00:24:39,360 Speaker 3: on from trying to figure that. 573 00:24:39,320 --> 00:24:44,960 Speaker 1: Out well in your comments about sort of the security 574 00:24:45,000 --> 00:24:48,440 Speaker 1: issues that you flagged as just an observer during the 575 00:24:48,520 --> 00:24:52,200 Speaker 1: New Jersey rally, you know, very concerning. Also, I wonder 576 00:24:52,240 --> 00:24:55,280 Speaker 1: if like he knows right because surely now that he's 577 00:24:55,359 --> 00:24:59,880 Speaker 1: president again, he would have access to you know, classifying 578 00:24:59,880 --> 00:25:02,720 Speaker 1: and information or you know, information that we might not 579 00:25:02,840 --> 00:25:07,159 Speaker 1: be privy to as you know, the public. Yeah, and 580 00:25:07,280 --> 00:25:09,719 Speaker 1: maybe he just doesn't you know, they're not sharing it 581 00:25:09,760 --> 00:25:13,640 Speaker 1: for a reason, but there's definitely I mean, it seems 582 00:25:15,119 --> 00:25:18,359 Speaker 1: it seems impossible that they don't know more at this point, 583 00:25:18,480 --> 00:25:20,280 Speaker 1: and the fact they're not telling I mean, I think 584 00:25:20,320 --> 00:25:22,320 Speaker 1: the fact that they're not telling us. Actually it tells 585 00:25:22,359 --> 00:25:28,639 Speaker 1: me more than But what do you say. 586 00:25:28,320 --> 00:25:30,480 Speaker 3: Especially about Thomas Kirks with those encrypted phones and everything. 587 00:25:30,480 --> 00:25:32,320 Speaker 3: You're telling me he didn't work for somebody. 588 00:25:32,080 --> 00:25:35,240 Speaker 1: They had to with well, because also, like if you're like, okay, 589 00:25:35,240 --> 00:25:37,520 Speaker 1: if I'm President Trump, that's like one of the first 590 00:25:37,520 --> 00:25:39,880 Speaker 1: things I'm wanting to find out, right, because you're worried 591 00:25:39,880 --> 00:25:42,040 Speaker 1: about your safety or about the safety of your family, 592 00:25:42,160 --> 00:25:43,479 Speaker 1: Like it's one of the you know. So, I mean, 593 00:25:43,520 --> 00:25:45,399 Speaker 1: I just feel like it's it would be shocking at 594 00:25:45,440 --> 00:25:51,920 Speaker 1: this point if they don't know more so, but why 595 00:25:51,920 --> 00:25:54,159 Speaker 1: do you think that he was able? President Trump was 596 00:25:54,160 --> 00:25:56,080 Speaker 1: able to make the greatest comeback ever. 597 00:25:57,080 --> 00:26:01,480 Speaker 3: Ultimately because he was resilient, right, I mean I asked 598 00:26:01,560 --> 00:26:03,359 Speaker 3: him that also, I said, why would you want to 599 00:26:03,400 --> 00:26:07,080 Speaker 3: do this? You went through an election that you thought 600 00:26:07,119 --> 00:26:12,000 Speaker 3: was stolen in twenty twenty and obviously some very odd 601 00:26:12,040 --> 00:26:15,200 Speaker 3: I'm being generous, but some things happened in Philadelphia and 602 00:26:15,280 --> 00:26:19,719 Speaker 3: Atlanta and other cities that would give anybody pause. And 603 00:26:19,720 --> 00:26:21,879 Speaker 3: that's what the campaign was telling me that, yeah, they 604 00:26:21,880 --> 00:26:23,880 Speaker 3: had the numbers that showed that he was going to win, 605 00:26:24,280 --> 00:26:28,920 Speaker 3: but they still were concerned about election integrity. Fortunately, the 606 00:26:29,040 --> 00:26:33,560 Speaker 3: RNC had a team of lawyers and poll watchers and 607 00:26:33,600 --> 00:26:36,480 Speaker 3: everything just at the ready this time, and without COVID 608 00:26:36,600 --> 00:26:38,320 Speaker 3: you couldn't get away with perhaps what they tried to 609 00:26:38,320 --> 00:26:42,080 Speaker 3: get away with in twenty twenty. So overall, why did 610 00:26:42,119 --> 00:26:43,320 Speaker 3: he make the greatest comeback ever? 611 00:26:43,400 --> 00:26:45,040 Speaker 4: Yeah? I guess he just kept moving forward. 612 00:26:45,080 --> 00:26:46,760 Speaker 3: You know, there's a line in one of the Rocky 613 00:26:46,760 --> 00:26:49,080 Speaker 3: films or Rocky saying, it's not how hard you get hit, 614 00:26:49,320 --> 00:26:51,440 Speaker 3: it's how hard you get hit, get back up and 615 00:26:51,520 --> 00:26:52,280 Speaker 3: keep moving forward. 616 00:26:52,240 --> 00:26:53,639 Speaker 4: And he just kept moving forward. 617 00:26:53,680 --> 00:26:57,000 Speaker 3: I mean, all these felony counts against him that would 618 00:26:57,000 --> 00:27:01,240 Speaker 3: have just shut down any other candidate, but only survived that, 619 00:27:01,320 --> 00:27:03,560 Speaker 3: But he would get out of court and then hold 620 00:27:03,960 --> 00:27:06,639 Speaker 3: a press conference for forty five minutes and dominate the 621 00:27:06,640 --> 00:27:09,239 Speaker 3: news cycle. I mean it was just so bizarre. But 622 00:27:09,280 --> 00:27:11,080 Speaker 3: in the end, yeah, I mean he's on the right 623 00:27:11,119 --> 00:27:12,800 Speaker 3: side of every issue. I mean, no one wants this 624 00:27:13,040 --> 00:27:14,240 Speaker 3: war in Ukraine anymore. 625 00:27:14,920 --> 00:27:15,600 Speaker 4: Yeah, Gaza. 626 00:27:16,080 --> 00:27:18,600 Speaker 3: That wouldn't have happened with Israel if he was in power, 627 00:27:18,600 --> 00:27:21,159 Speaker 3: because Iran wouldn't have been emboldened to give Mos all 628 00:27:21,200 --> 00:27:24,119 Speaker 3: that money and all that training. Obviously, on the economy, 629 00:27:24,560 --> 00:27:27,119 Speaker 3: we're seeing spending cuts, which is, you know, a foreign 630 00:27:27,200 --> 00:27:29,880 Speaker 3: thing we have not seen forever, and that that's something 631 00:27:29,880 --> 00:27:30,840 Speaker 3: that he promised. 632 00:27:30,480 --> 00:27:31,040 Speaker 4: To do as well. 633 00:27:31,080 --> 00:27:33,480 Speaker 3: And then things like the cultural stuff, Lisa I think 634 00:27:33,560 --> 00:27:35,520 Speaker 3: is the reason why he won. I mean, I have 635 00:27:35,560 --> 00:27:38,000 Speaker 3: a young daughter and you know, she's in fifth grade. 636 00:27:38,040 --> 00:27:41,119 Speaker 3: She played soccer and she played against a boy not 637 00:27:41,200 --> 00:27:43,680 Speaker 3: too long ago, and my daughter knew it and asked, 638 00:27:43,680 --> 00:27:44,520 Speaker 3: why was that allowed? 639 00:27:44,840 --> 00:27:46,160 Speaker 4: Well, the boy wasn't a boy. 640 00:27:46,200 --> 00:27:49,000 Speaker 3: The boy said he was a girl, you know, And 641 00:27:49,800 --> 00:27:52,159 Speaker 3: eighty percent of Americans say that's wrong, you shouldn't do that, 642 00:27:52,160 --> 00:27:54,879 Speaker 3: but Democrats take that side anyway. Or even when Kamala 643 00:27:54,920 --> 00:27:57,679 Speaker 3: Harris said that we should pay for sex changes for 644 00:27:57,680 --> 00:27:59,879 Speaker 3: illegals who were in prison, I mean, that became like 645 00:27:59,920 --> 00:28:02,520 Speaker 3: the most viral ad in the campaign that the Trump 646 00:28:02,520 --> 00:28:04,520 Speaker 3: team put together. So they just were on the right 647 00:28:04,560 --> 00:28:06,720 Speaker 3: side of everything, and they had the better candidate, the 648 00:28:06,760 --> 00:28:08,960 Speaker 3: more confident candidate. And if you can't be Kamalaris, then 649 00:28:09,000 --> 00:28:10,280 Speaker 3: you have no right being president. 650 00:28:11,119 --> 00:28:13,320 Speaker 1: We've got to take a quick commercial break, but we've 651 00:28:13,320 --> 00:28:15,879 Speaker 1: got more with my friend Joe Consha. If you're enjoying 652 00:28:15,880 --> 00:28:19,200 Speaker 1: the interview, hit Zen, share with some of your friends, 653 00:28:19,240 --> 00:28:21,040 Speaker 1: Share with your family, or maybe give it a share 654 00:28:21,040 --> 00:28:24,879 Speaker 1: on social media. 655 00:28:25,040 --> 00:28:27,680 Speaker 2: Did he talk to you about the impact? 656 00:28:28,760 --> 00:28:32,439 Speaker 1: I mean, he overcame ninety one felony charges and you know, 657 00:28:32,520 --> 00:28:37,480 Speaker 1: faced investigations from Bragg, you know, Letitia James, Fanny Willis, 658 00:28:38,040 --> 00:28:41,360 Speaker 1: Jack Smith. I mean, you know, did he tell you 659 00:28:41,520 --> 00:28:43,880 Speaker 1: about sort of the impact that that had on his life? 660 00:28:43,920 --> 00:28:46,560 Speaker 1: I imagine that that had to have been you know, 661 00:28:46,600 --> 00:28:49,080 Speaker 1: even though he's like a tough guy and extremely resilient, 662 00:28:49,200 --> 00:28:51,000 Speaker 1: Like I don't care how resilient you are, that's got 663 00:28:51,040 --> 00:28:52,760 Speaker 1: to like rattle you a little bit. You know, it's 664 00:28:52,800 --> 00:28:53,400 Speaker 1: pretty scary. 665 00:28:54,280 --> 00:28:55,960 Speaker 4: He said, you know what, it was a gift, So 666 00:28:56,080 --> 00:28:59,200 Speaker 4: what do you mean? He said, it proved. 667 00:28:58,920 --> 00:29:03,000 Speaker 3: My point that the justice system and so like a 668 00:29:03,000 --> 00:29:06,800 Speaker 3: banana republic, it's weaponized. They wanted to take me out 669 00:29:07,560 --> 00:29:09,960 Speaker 3: through law fair instead of trying to beat me at 670 00:29:09,960 --> 00:29:12,240 Speaker 3: the ballot box. And he said, I think a lot 671 00:29:12,240 --> 00:29:14,400 Speaker 3: of people that may have been on the fence about me, 672 00:29:14,560 --> 00:29:18,040 Speaker 3: or maybe I've been my biggest fans, saw exactly what 673 00:29:18,080 --> 00:29:20,040 Speaker 3: Democrats were doing, and I left a really bad taste 674 00:29:20,040 --> 00:29:21,800 Speaker 3: in their mouth. And he said, so in the end, 675 00:29:22,160 --> 00:29:24,120 Speaker 3: while those things look bad at the time, he said 676 00:29:24,120 --> 00:29:26,760 Speaker 3: that that probably got me more votes than votes that I. 677 00:29:27,080 --> 00:29:29,280 Speaker 4: Lost as a result. You know what you think about it? 678 00:29:29,280 --> 00:29:33,280 Speaker 1: He's probably right before we go, what have I not 679 00:29:33,440 --> 00:29:37,680 Speaker 1: asked you about that? You wish I had. We don't 680 00:29:37,920 --> 00:29:41,920 Speaker 1: be too harsh, but you know, like, what what would 681 00:29:41,920 --> 00:29:43,760 Speaker 1: you like to convey about the book that we haven't 682 00:29:43,920 --> 00:29:45,160 Speaker 1: had a chance to yet. 683 00:29:45,720 --> 00:29:47,880 Speaker 3: I think the media coverage in terms of the media 684 00:29:47,880 --> 00:29:51,880 Speaker 3: strategy from Trump, right, So we talked about McDonald's and 685 00:29:51,880 --> 00:29:54,360 Speaker 3: the garbage truck and those those photos going viral. I 686 00:29:54,480 --> 00:29:56,920 Speaker 3: used the McDonald's photo on the cover of the book, 687 00:29:57,320 --> 00:29:58,920 Speaker 3: and I showed it to the President when I was 688 00:29:58,920 --> 00:30:01,440 Speaker 3: at mar Lago for New Year's Eve, and he goes, oh, 689 00:30:01,480 --> 00:30:04,480 Speaker 3: He goes, I bet everybody your people told you to 690 00:30:04,560 --> 00:30:07,640 Speaker 3: use the assassination photo with the fight Fight Fight, And 691 00:30:07,680 --> 00:30:10,320 Speaker 3: I said, yeah, everybody did. And I said that while 692 00:30:10,320 --> 00:30:13,440 Speaker 3: that was a iconic photo, I go, hey, I think 693 00:30:13,920 --> 00:30:16,880 Speaker 3: a lot, it's almost overused on some level. I go, 694 00:30:16,920 --> 00:30:18,160 Speaker 3: with all the respect, and I go and two, I 695 00:30:18,160 --> 00:30:21,680 Speaker 3: think McDonald's that encapsulated the entire campaign. But what else 696 00:30:21,720 --> 00:30:24,880 Speaker 3: did was Donald Trump went on Joe Rogan for more 697 00:30:24,880 --> 00:30:28,400 Speaker 3: than three hours, right, and that got something like fifty 698 00:30:28,480 --> 00:30:32,400 Speaker 3: million views just on Rogan's YouTube channel alone like a 699 00:30:32,440 --> 00:30:34,400 Speaker 3: crazy number, right, like CNN, you go on there and 700 00:30:34,440 --> 00:30:36,600 Speaker 3: eight hundred thousand people watch it. There he goes on 701 00:30:36,680 --> 00:30:40,440 Speaker 3: Joe Rogan, so did Jdvans. And then Kamala Harris tells 702 00:30:40,480 --> 00:30:43,120 Speaker 3: the Rogan people, or at least Kamala Harris's campaign says, Okay, 703 00:30:43,160 --> 00:30:44,400 Speaker 3: we'll do the show, but you're going to come to 704 00:30:44,480 --> 00:30:47,200 Speaker 3: us and we're not going to Austin and oh, I'm 705 00:30:47,200 --> 00:30:49,240 Speaker 3: only doing an hour. I'm definitely not doing three hours, 706 00:30:49,280 --> 00:30:51,360 Speaker 3: and I want to know the topics beforehand. You're like, boy, 707 00:30:51,880 --> 00:30:54,760 Speaker 3: is that dumb? What are you doing? You're just again 708 00:30:54,800 --> 00:30:56,880 Speaker 3: another two inch putt that was missed. And then the 709 00:30:56,880 --> 00:30:58,920 Speaker 3: fact that she blew off the Al Smith dinner and 710 00:30:58,960 --> 00:31:01,400 Speaker 3: the Catholic vote is so huge, it's such a big block. 711 00:31:01,800 --> 00:31:02,840 Speaker 4: And they didn't send her there. 712 00:31:02,880 --> 00:31:05,840 Speaker 3: Maybe because they thought that her and Trump kind of 713 00:31:05,840 --> 00:31:07,640 Speaker 3: talking to each other the way Hillary and Trump did 714 00:31:07,800 --> 00:31:10,000 Speaker 3: in twenty sixteen, maybe that would humanize him a little bit. 715 00:31:10,080 --> 00:31:12,720 Speaker 3: Maybe she's just profoundly horrible at comedy. Maybe she's a 716 00:31:12,800 --> 00:31:15,120 Speaker 3: human chernobyl when she's outside of a teleprompter. I don't know, 717 00:31:15,280 --> 00:31:17,160 Speaker 3: but they didn't send her there. They send that cringe 718 00:31:17,200 --> 00:31:20,800 Speaker 3: video with Molly Shannon instead, and Trump is telling jokes like, wow, 719 00:31:20,800 --> 00:31:23,200 Speaker 3: it's great to be in Manhattan for the first time 720 00:31:23,200 --> 00:31:23,720 Speaker 3: in a long time. 721 00:31:23,720 --> 00:31:24,800 Speaker 4: I wasn't served with a subpoena. 722 00:31:24,880 --> 00:31:28,040 Speaker 3: I mean, that's funny, right, or he goes, you know, 723 00:31:28,480 --> 00:31:30,320 Speaker 3: I had a hard time accepting her that there are 724 00:31:30,320 --> 00:31:32,760 Speaker 3: more than two genders. And then I met Tim Walls 725 00:31:33,040 --> 00:31:35,640 Speaker 3: and I found that funny, right, So he killed it. 726 00:31:35,720 --> 00:31:38,160 Speaker 3: That night the Maison Square Garden rally, I thought was genius. 727 00:31:38,200 --> 00:31:38,400 Speaker 4: Again. 728 00:31:38,440 --> 00:31:40,640 Speaker 3: He's doing all this stuff in Blue states and he's 729 00:31:40,720 --> 00:31:42,600 Speaker 3: drawing these massive crowds. And I was at the Maison 730 00:31:42,640 --> 00:31:46,280 Speaker 3: Square Garden rally and there's Israeli flags everywhere, and I 731 00:31:46,360 --> 00:31:48,440 Speaker 3: never had been around that many happy people in one 732 00:31:48,440 --> 00:31:50,800 Speaker 3: place since, like my last spring breaking can coon and boy, 733 00:31:50,800 --> 00:31:52,640 Speaker 3: I have some stories for you there, Liza hopefully to why. 734 00:31:53,360 --> 00:31:54,080 Speaker 1: That's another book. 735 00:31:54,680 --> 00:31:55,920 Speaker 4: That's another book, You're right? 736 00:31:56,920 --> 00:31:58,840 Speaker 3: And then I get home and then I see, oh, 737 00:31:59,000 --> 00:32:02,400 Speaker 3: actually this was an olde to Nazis. And you remember 738 00:32:02,400 --> 00:32:04,080 Speaker 3: the press coverage. I mean it was insane at all. 739 00:32:05,360 --> 00:32:08,440 Speaker 3: Tony Hinchcliffe, he's on stage four hours before Trump. He 740 00:32:08,520 --> 00:32:11,160 Speaker 3: tells actually an accurate joke about the garbage problem that's 741 00:32:11,160 --> 00:32:13,920 Speaker 3: in Puerto Rico. And then you literally saw news reports 742 00:32:13,960 --> 00:32:15,760 Speaker 3: and I have it in the book that that was 743 00:32:15,800 --> 00:32:18,280 Speaker 3: the big changing moment in the campaign, that late voters 744 00:32:18,320 --> 00:32:21,240 Speaker 3: were breaking for Harris, especially Latinos, because of that joke 745 00:32:21,480 --> 00:32:23,760 Speaker 3: that was told at a Trump rally four hours before 746 00:32:23,760 --> 00:32:26,760 Speaker 3: Trump took the stage that somehow people were going to say, 747 00:32:27,240 --> 00:32:30,360 Speaker 3: you know, screw inflation, screw crime, screw the border. I'm 748 00:32:30,440 --> 00:32:32,400 Speaker 3: changing my vote because I don't like that joke that. 749 00:32:32,400 --> 00:32:35,520 Speaker 4: Can be told. I'm like, oh man, we are well 750 00:32:35,600 --> 00:32:37,080 Speaker 4: passed insanity at this point. 751 00:32:37,200 --> 00:32:40,800 Speaker 3: And then finally the polls right, Ann Selzer said that 752 00:32:41,080 --> 00:32:44,280 Speaker 3: Kamala was up by three points in Iowa. Iowa, in 753 00:32:44,360 --> 00:32:47,200 Speaker 3: the same poll, Trump was up eighteen points on Biden. 754 00:32:47,240 --> 00:32:50,200 Speaker 3: You're telling me that Kamala friggin Harris reversed that by 755 00:32:50,200 --> 00:32:52,720 Speaker 3: twenty one points. So I went on Fox with Carly 756 00:32:52,760 --> 00:32:54,600 Speaker 3: and Todd at Fox and Friends first and I said, 757 00:32:54,600 --> 00:32:56,840 Speaker 3: please have me back the day after the election so 758 00:32:56,880 --> 00:32:58,040 Speaker 3: I could dunk all over this poll. 759 00:32:58,040 --> 00:32:59,800 Speaker 4: And sure enough, Trump won Iowa by fourteen. 760 00:33:00,880 --> 00:33:04,480 Speaker 3: So, I mean, the Delicious Aftermath, that's the best chapter 761 00:33:04,520 --> 00:33:06,480 Speaker 3: in the book that's after the election, and all the 762 00:33:06,480 --> 00:33:09,760 Speaker 3: reactions in the meltdowns truly is something to behold as 763 00:33:09,760 --> 00:33:11,760 Speaker 3: far as the way people reacted, and it's still happening 764 00:33:11,840 --> 00:33:13,840 Speaker 3: to this day, as we're saying on these networks, but 765 00:33:13,920 --> 00:33:17,000 Speaker 3: Trump again resilient, fight, fight, fight, keep them forward, and 766 00:33:17,000 --> 00:33:17,480 Speaker 3: that's what he's. 767 00:33:17,360 --> 00:33:18,640 Speaker 4: Going to do for the next forty five months. 768 00:33:18,920 --> 00:33:21,520 Speaker 1: Oh yeah, that I will pull h was a disaster, 769 00:33:21,920 --> 00:33:24,440 Speaker 1: So she's now she had to. 770 00:33:24,640 --> 00:33:26,800 Speaker 2: She had to though, you know, like no one would ever. 771 00:33:28,560 --> 00:33:30,600 Speaker 1: It's like it's also like to at some point with 772 00:33:30,640 --> 00:33:33,040 Speaker 1: some of these polls, Like for instance, I talked to 773 00:33:33,120 --> 00:33:36,760 Speaker 1: John McLaughlin about the one of the latest ABC Washington 774 00:33:36,800 --> 00:33:39,560 Speaker 1: Post polls, and he said, if you showed me, if 775 00:33:39,600 --> 00:33:42,160 Speaker 1: you dig into the cross tabs of the poll, they're 776 00:33:42,200 --> 00:33:46,160 Speaker 1: only showing thirty four percent of Trump voters in the sample. 777 00:33:46,640 --> 00:33:48,800 Speaker 1: He won fifty percent of the electorate. So that's not 778 00:33:48,840 --> 00:33:51,760 Speaker 1: an accurate poll. That skews everything in the poll. So 779 00:33:51,800 --> 00:33:54,400 Speaker 1: it's like, you know, the challenge where we are today 780 00:33:54,560 --> 00:33:56,640 Speaker 1: and you know you know this, and you've made this 781 00:33:56,680 --> 00:33:59,320 Speaker 1: point in the interview, is that like the media and 782 00:33:59,320 --> 00:34:01,160 Speaker 1: the poll bias runs so. 783 00:34:01,280 --> 00:34:03,760 Speaker 2: Deep that it just everything is infected by it. 784 00:34:03,880 --> 00:34:06,160 Speaker 1: And so I think that's like the most difficult thing 785 00:34:06,280 --> 00:34:08,840 Speaker 1: in the Trump era is trying to get the truth 786 00:34:08,960 --> 00:34:13,560 Speaker 1: when you know, when like so much is soiled and 787 00:34:13,920 --> 00:34:16,680 Speaker 1: you know, impacted and incorrect, and so it's you know, 788 00:34:16,719 --> 00:34:19,400 Speaker 1: you're really trying to like get to the truth wherein 789 00:34:19,560 --> 00:34:22,799 Speaker 1: there is you know, so much disinformation around you. To 790 00:34:22,880 --> 00:34:24,640 Speaker 1: use a word that the Democrats love, but they're the 791 00:34:24,640 --> 00:34:25,399 Speaker 1: purveyors of. 792 00:34:25,280 --> 00:34:29,000 Speaker 3: It past, it should because it kind of rhymes the 793 00:34:29,080 --> 00:34:30,160 Speaker 3: truth with Lisa Booth. 794 00:34:30,560 --> 00:34:33,080 Speaker 1: Oh well, I don't know if you know this, but 795 00:34:33,120 --> 00:34:35,200 Speaker 1: that's what the name of the podcast is, so. 796 00:34:38,719 --> 00:34:40,960 Speaker 4: My schedule now it is the truth of that. We're 797 00:34:40,960 --> 00:34:41,959 Speaker 4: thinking the same lines. 798 00:34:43,719 --> 00:34:47,680 Speaker 1: We're just joking. I thought you were being facetious, Okay, 799 00:34:48,560 --> 00:34:50,280 Speaker 1: I just I just know it's. 800 00:34:50,200 --> 00:34:52,200 Speaker 3: At least I didn't. I guess I heard it. It 801 00:34:52,200 --> 00:34:54,240 Speaker 3: was subconsciously embedded in my head somewhere. 802 00:34:54,239 --> 00:34:57,120 Speaker 1: So yeah, we're well. Gianno actually takes credit for naming it, 803 00:34:57,160 --> 00:34:59,200 Speaker 1: which he probably did, but I don't remember. So apparently 804 00:34:59,200 --> 00:35:01,560 Speaker 1: we're at dinner when I and he John o'claw will 805 00:35:01,600 --> 00:35:04,759 Speaker 1: from Fox, and he said he flowed. I think we're talking, like, 806 00:35:04,920 --> 00:35:07,239 Speaker 1: you know, going through names, and I guess he floated it. 807 00:35:07,280 --> 00:35:09,160 Speaker 1: So I'll give him credit. I don't remember, but he 808 00:35:09,239 --> 00:35:11,600 Speaker 1: probably is telling the truth. So and that's the truth, 809 00:35:11,600 --> 00:35:13,680 Speaker 1: is Lisa Booth awesome? 810 00:35:13,719 --> 00:35:15,799 Speaker 4: All right, a lot of us here. This is I 811 00:35:15,840 --> 00:35:16,520 Speaker 4: love long form. 812 00:35:16,560 --> 00:35:18,399 Speaker 3: You know, when we do like Hannity or some show, 813 00:35:18,440 --> 00:35:20,600 Speaker 3: you know, you get like maybe won maybe two questions, 814 00:35:20,640 --> 00:35:22,320 Speaker 3: and suddenly you hear the music. 815 00:35:22,560 --> 00:35:25,600 Speaker 4: Don't don't. I'm like, crap, I'm ten seconds into my answer. 816 00:35:25,680 --> 00:35:28,080 Speaker 4: But we could talk a little more. And that's great. 817 00:35:28,120 --> 00:35:29,960 Speaker 1: But yeah, and it's and it's hard to finish the 818 00:35:30,040 --> 00:35:32,200 Speaker 1: thought when someone's in your ear telling you like, we've 819 00:35:32,200 --> 00:35:32,640 Speaker 1: got to go. 820 00:35:34,840 --> 00:35:35,759 Speaker 4: All right, exactly. 821 00:35:36,880 --> 00:35:38,160 Speaker 1: Well, I was going to say I hope to see 822 00:35:38,200 --> 00:35:39,759 Speaker 1: you soon, but I know i'll see you soon because 823 00:35:39,800 --> 00:35:41,560 Speaker 1: we're on the big show together on Sunday. 824 00:35:42,640 --> 00:35:43,239 Speaker 4: That's right. 825 00:35:43,320 --> 00:35:47,160 Speaker 3: I just saw r EP's email with the promotion, so 826 00:35:47,280 --> 00:35:48,520 Speaker 3: that'll be awesome looking forward. 827 00:35:48,920 --> 00:35:51,520 Speaker 1: So I'll see you Sunday. And all right, Joe Concha 828 00:35:51,680 --> 00:35:54,680 Speaker 1: your friend. Appreciate your flexibility at the timing. My bad, 829 00:35:55,800 --> 00:35:58,160 Speaker 1: But congrats on the book. I'm glad that everything one. 830 00:35:58,200 --> 00:36:00,480 Speaker 1: Glad he won for the country and for life, but 831 00:36:00,680 --> 00:36:03,840 Speaker 1: also for your book, and I hope it's a continued success. 832 00:36:03,920 --> 00:36:04,719 Speaker 1: So congrats my. 833 00:36:04,680 --> 00:36:07,200 Speaker 4: Friend, Thank you the Truth, see you later. 834 00:36:07,360 --> 00:36:09,799 Speaker 1: That was Joe Kanha. Appreciate him for taking the time 835 00:36:09,840 --> 00:36:11,560 Speaker 1: to join the show. Appreciate you guys at home for 836 00:36:11,640 --> 00:36:14,080 Speaker 1: listening every Tuesday and Thursday, but you can listen throughout 837 00:36:14,080 --> 00:36:15,080 Speaker 1: the week until next time.